From d8e38f2f0b497d92659b4e577b0647ce97acc891 Mon Sep 17 00:00:00 2001 From: danglies007 Date: Thu, 12 Mar 2026 21:33:58 +0200 Subject: [PATCH 01/15] fix: propagate ContextVars into async task threads MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit threading.Thread() does not inherit the parent's contextvars.Context, causing ContextVar-based state (OpenTelemetry spans, Langfuse trace IDs, and any other request-scoped vars) to be silently dropped in async tasks. Fix by calling contextvars.copy_context() before spawning each thread and using ctx.run() as the thread target, which runs the function inside the captured context. Affected locations: - task.py: execute_async() — the primary async task execution path - utilities/streaming.py: create_chunk_generator() — streaming execution path Fixes: #4822 Related: #4168, #4286 Co-authored-by: Claude --- lib/crewai/src/crewai/task.py | 6 ++++-- lib/crewai/src/crewai/utilities/streaming.py | 4 +++- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/lib/crewai/src/crewai/task.py b/lib/crewai/src/crewai/task.py index cfcb01799..fb0275364 100644 --- a/lib/crewai/src/crewai/task.py +++ b/lib/crewai/src/crewai/task.py @@ -1,6 +1,7 @@ from __future__ import annotations import asyncio +import contextvars from concurrent.futures import Future from copy import copy as shallow_copy import datetime @@ -524,10 +525,11 @@ class Task(BaseModel): ) -> Future[TaskOutput]: """Execute the task asynchronously.""" future: Future[TaskOutput] = Future() + ctx = contextvars.copy_context() threading.Thread( daemon=True, - target=self._execute_task_async, - args=(agent, context, tools, future), + target=ctx.run, + args=(self._execute_task_async, agent, context, tools, future), ).start() return future diff --git a/lib/crewai/src/crewai/utilities/streaming.py b/lib/crewai/src/crewai/utilities/streaming.py index 8f43e8ef0..ded67527d 100644 --- a/lib/crewai/src/crewai/utilities/streaming.py +++ b/lib/crewai/src/crewai/utilities/streaming.py @@ -2,6 +2,7 @@ import asyncio from collections.abc import AsyncIterator, Callable, Iterator +import contextvars import queue import threading from typing import Any, NamedTuple @@ -240,7 +241,8 @@ def create_chunk_generator( Yields: StreamChunk objects as they arrive. """ - thread = threading.Thread(target=run_func, daemon=True) + ctx = contextvars.copy_context() + thread = threading.Thread(target=ctx.run, args=(run_func,), daemon=True) thread.start() try: From 48eb7c6937bf8b02313ad2d0f13c7440a5e5e86a Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Fri, 13 Mar 2026 00:32:22 -0400 Subject: [PATCH 02/15] fix: propagate contextvars across all thread and executor boundaries --- .../tools/stagehand_tool/stagehand_tool.py | 13 +- lib/crewai/src/crewai/__init__.py | 4 +- lib/crewai/src/crewai/a2a/utils/agent_card.py | 7 +- lib/crewai/src/crewai/a2a/utils/delegation.py | 4 +- lib/crewai/src/crewai/a2a/wrapper.py | 5 +- lib/crewai/src/crewai/agent/core.py | 7 +- lib/crewai/src/crewai/cli/crew_chat.py | 6 +- .../crewai/events/listeners/tracing/utils.py | 4 +- lib/crewai/src/crewai/flow/flow.py | 13 +- lib/crewai/src/crewai/mcp/tool_resolver.py | 10 +- lib/crewai/src/crewai/memory/encoding_flow.py | 94 +- lib/crewai/src/crewai/memory/recall_flow.py | 75 +- .../crewai/memory/storage/lancedb_storage.py | 5 +- .../src/crewai/memory/unified_memory.py | 4 +- lib/crewai/src/crewai/project/annotations.py | 4 +- lib/crewai/src/crewai/project/wrappers.py | 4 +- .../src/crewai/tools/mcp_native_tool.py | 4 +- .../src/crewai/utilities/agent_utils.py | 4 +- lib/crewai/src/crewai/utilities/file_store.py | 4 +- .../test_before_kickoff_callback.yaml | 817 +---- .../cassettes/test_crew_testing_function.yaml | 694 ++-- ...t_enabled_if_there_are_only_one_agent.yaml | 116 +- .../cassettes/test_hierarchical_process.yaml | 1399 ++++---- ...st_hierarchical_verbose_manager_agent.yaml | 2929 ++++++----------- ...memory_enabled_creates_unified_memory.yaml | 1741 ++++++++-- ...test_single_task_with_async_execution.yaml | 177 +- lib/crewai/tests/test_crew.py | 2 +- 27 files changed, 3962 insertions(+), 4184 deletions(-) diff --git a/lib/crewai-tools/src/crewai_tools/tools/stagehand_tool/stagehand_tool.py b/lib/crewai-tools/src/crewai_tools/tools/stagehand_tool/stagehand_tool.py index 70eaa296c..87d076505 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/stagehand_tool/stagehand_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/stagehand_tool/stagehand_tool.py @@ -1,4 +1,5 @@ import asyncio +import contextvars import json import os import re @@ -137,7 +138,9 @@ class StagehandTool(BaseTool): - 'observe': For finding elements in a specific area """ args_schema: type[BaseModel] = StagehandToolSchema - package_dependencies: list[str] = Field(default_factory=lambda: ["stagehand<=0.5.9"]) + package_dependencies: list[str] = Field( + default_factory=lambda: ["stagehand<=0.5.9"] + ) env_vars: list[EnvVar] = Field( default_factory=lambda: [ EnvVar( @@ -620,9 +623,12 @@ class StagehandTool(BaseTool): # We're in an existing event loop, use it import concurrent.futures + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor() as executor: future = executor.submit( - asyncio.run, self._async_run(instruction, url, command_type) + ctx.run, + asyncio.run, + self._async_run(instruction, url, command_type), ) result = future.result() else: @@ -706,11 +712,12 @@ class StagehandTool(BaseTool): if loop.is_running(): import concurrent.futures + ctx = contextvars.copy_context() with ( concurrent.futures.ThreadPoolExecutor() as executor ): future = executor.submit( - asyncio.run, self._async_close() + ctx.run, asyncio.run, self._async_close() ) future.result() else: diff --git a/lib/crewai/src/crewai/__init__.py b/lib/crewai/src/crewai/__init__.py index 8c1a96382..0dea1ff1e 100644 --- a/lib/crewai/src/crewai/__init__.py +++ b/lib/crewai/src/crewai/__init__.py @@ -1,3 +1,4 @@ +import contextvars import threading from typing import Any import urllib.request @@ -66,7 +67,8 @@ def _track_install() -> None: def _track_install_async() -> None: """Track installation in background thread to avoid blocking imports.""" if not Telemetry._is_telemetry_disabled(): - thread = threading.Thread(target=_track_install, daemon=True) + ctx = contextvars.copy_context() + thread = threading.Thread(target=ctx.run, args=(_track_install,), daemon=True) thread.start() diff --git a/lib/crewai/src/crewai/a2a/utils/agent_card.py b/lib/crewai/src/crewai/a2a/utils/agent_card.py index 45819bebd..df5886988 100644 --- a/lib/crewai/src/crewai/a2a/utils/agent_card.py +++ b/lib/crewai/src/crewai/a2a/utils/agent_card.py @@ -5,6 +5,7 @@ from __future__ import annotations import asyncio from collections.abc import MutableMapping import concurrent.futures +import contextvars from functools import lru_cache import ssl import time @@ -147,8 +148,9 @@ def fetch_agent_card( has_running_loop = False if has_running_loop: + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool: - return pool.submit(asyncio.run, coro).result() + return pool.submit(ctx.run, asyncio.run, coro).result() return asyncio.run(coro) @@ -215,8 +217,9 @@ def _fetch_agent_card_cached( has_running_loop = False if has_running_loop: + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool: - return pool.submit(asyncio.run, coro).result() + return pool.submit(ctx.run, asyncio.run, coro).result() return asyncio.run(coro) diff --git a/lib/crewai/src/crewai/a2a/utils/delegation.py b/lib/crewai/src/crewai/a2a/utils/delegation.py index 3a6795c34..c634aab1d 100644 --- a/lib/crewai/src/crewai/a2a/utils/delegation.py +++ b/lib/crewai/src/crewai/a2a/utils/delegation.py @@ -7,6 +7,7 @@ import base64 from collections.abc import AsyncIterator, Callable, MutableMapping import concurrent.futures from contextlib import asynccontextmanager +import contextvars import logging from typing import TYPE_CHECKING, Any, Final, Literal import uuid @@ -229,8 +230,9 @@ def execute_a2a_delegation( has_running_loop = False if has_running_loop: + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool: - return pool.submit(asyncio.run, coro).result() + return pool.submit(ctx.run, asyncio.run, coro).result() return asyncio.run(coro) diff --git a/lib/crewai/src/crewai/a2a/wrapper.py b/lib/crewai/src/crewai/a2a/wrapper.py index 307ba0c90..6f85951a1 100644 --- a/lib/crewai/src/crewai/a2a/wrapper.py +++ b/lib/crewai/src/crewai/a2a/wrapper.py @@ -8,6 +8,7 @@ from __future__ import annotations import asyncio from collections.abc import Callable, Coroutine, Mapping from concurrent.futures import ThreadPoolExecutor, as_completed +import contextvars from functools import wraps import json from types import MethodType @@ -278,7 +279,9 @@ def _fetch_agent_cards_concurrently( max_workers = min(len(a2a_agents), 10) with ThreadPoolExecutor(max_workers=max_workers) as executor: futures = { - executor.submit(_fetch_card_from_config, config): config + executor.submit( + contextvars.copy_context().run, _fetch_card_from_config, config + ): config for config in a2a_agents } for future in as_completed(futures): diff --git a/lib/crewai/src/crewai/agent/core.py b/lib/crewai/src/crewai/agent/core.py index 418ebe73d..f109a7968 100644 --- a/lib/crewai/src/crewai/agent/core.py +++ b/lib/crewai/src/crewai/agent/core.py @@ -2,6 +2,7 @@ from __future__ import annotations import asyncio from collections.abc import Callable, Coroutine, Sequence +import contextvars import shutil import subprocess import time @@ -513,9 +514,13 @@ class Agent(BaseAgent): """ import concurrent.futures + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor() as executor: future = executor.submit( - self._execute_without_timeout, task_prompt=task_prompt, task=task + ctx.run, + self._execute_without_timeout, + task_prompt=task_prompt, + task=task, ) try: diff --git a/lib/crewai/src/crewai/cli/crew_chat.py b/lib/crewai/src/crewai/cli/crew_chat.py index c0ce16d18..bbbd51c0c 100644 --- a/lib/crewai/src/crewai/cli/crew_chat.py +++ b/lib/crewai/src/crewai/cli/crew_chat.py @@ -1,3 +1,4 @@ +import contextvars import json from pathlib import Path import platform @@ -80,7 +81,10 @@ def run_chat() -> None: # Start loading indicator loading_complete = threading.Event() - loading_thread = threading.Thread(target=show_loading, args=(loading_complete,)) + ctx = contextvars.copy_context() + loading_thread = threading.Thread( + target=ctx.run, args=(show_loading, loading_complete) + ) loading_thread.start() try: diff --git a/lib/crewai/src/crewai/events/listeners/tracing/utils.py b/lib/crewai/src/crewai/events/listeners/tracing/utils.py index a98142619..68ee6c9ff 100644 --- a/lib/crewai/src/crewai/events/listeners/tracing/utils.py +++ b/lib/crewai/src/crewai/events/listeners/tracing/utils.py @@ -1,4 +1,5 @@ from collections.abc import Callable +import contextvars from contextvars import ContextVar, Token from datetime import datetime import getpass @@ -509,7 +510,8 @@ def prompt_user_for_trace_viewing(timeout_seconds: int = 20) -> bool: # Handle all input-related errors silently result[0] = False - input_thread = threading.Thread(target=get_input, daemon=True) + ctx = contextvars.copy_context() + input_thread = threading.Thread(target=ctx.run, args=(get_input,), daemon=True) input_thread.start() input_thread.join(timeout=timeout_seconds) diff --git a/lib/crewai/src/crewai/flow/flow.py b/lib/crewai/src/crewai/flow/flow.py index 64c4059ad..bd24d610e 100644 --- a/lib/crewai/src/crewai/flow/flow.py +++ b/lib/crewai/src/crewai/flow/flow.py @@ -17,6 +17,7 @@ from collections.abc import ( ValuesView, ) from concurrent.futures import Future, ThreadPoolExecutor +import contextvars import copy import enum import inspect @@ -497,7 +498,9 @@ class LockedListProxy(list, Generic[T]): # type: ignore[type-arg] def __bool__(self) -> bool: return bool(self._list) - def index(self, value: T, start: SupportsIndex = 0, stop: SupportsIndex | None = None) -> int: # type: ignore[override] + def index( + self, value: T, start: SupportsIndex = 0, stop: SupportsIndex | None = None + ) -> int: # type: ignore[override] if stop is None: return self._list.index(value, start) return self._list.index(value, start, stop) @@ -1811,8 +1814,9 @@ class Flow(Generic[T], metaclass=FlowMeta): try: asyncio.get_running_loop() + ctx = contextvars.copy_context() with ThreadPoolExecutor(max_workers=1) as pool: - return pool.submit(asyncio.run, _run_flow()).result() + return pool.submit(ctx.run, asyncio.run, _run_flow()).result() except RuntimeError: return asyncio.run(_run_flow()) @@ -2236,8 +2240,6 @@ class Flow(Generic[T], metaclass=FlowMeta): else: # Run sync methods in thread pool for isolation # This allows Agent.kickoff() to work synchronously inside Flow methods - import contextvars - ctx = contextvars.copy_context() result = await asyncio.to_thread(ctx.run, method, *args, **kwargs) finally: @@ -2856,8 +2858,9 @@ class Flow(Generic[T], metaclass=FlowMeta): # Manual executor management to avoid shutdown(wait=True) # deadlock when the provider call outlives the timeout. executor = ThreadPoolExecutor(max_workers=1) + ctx = contextvars.copy_context() future = executor.submit( - provider.request_input, message, self, metadata + ctx.run, provider.request_input, message, self, metadata ) try: raw = future.result(timeout=timeout) diff --git a/lib/crewai/src/crewai/mcp/tool_resolver.py b/lib/crewai/src/crewai/mcp/tool_resolver.py index c0428f82d..2ef7364ac 100644 --- a/lib/crewai/src/crewai/mcp/tool_resolver.py +++ b/lib/crewai/src/crewai/mcp/tool_resolver.py @@ -11,6 +11,7 @@ into a standalone MCPToolResolver. It handles three flavours of MCP reference: from __future__ import annotations import asyncio +import contextvars import time from typing import TYPE_CHECKING, Any, Final, cast from urllib.parse import urlparse @@ -22,10 +23,10 @@ from crewai.mcp.config import ( MCPServerSSE, MCPServerStdio, ) -from crewai.utilities.string_utils import sanitize_tool_name from crewai.mcp.transports.http import HTTPTransport from crewai.mcp.transports.sse import SSETransport from crewai.mcp.transports.stdio import StdioTransport +from crewai.utilities.string_utils import sanitize_tool_name if TYPE_CHECKING: @@ -227,7 +228,9 @@ class MCPToolResolver: server_params = {"url": server_url} server_name = self._extract_server_name(server_url) - sanitized_specific_tool = sanitize_tool_name(specific_tool) if specific_tool else None + sanitized_specific_tool = ( + sanitize_tool_name(specific_tool) if specific_tool else None + ) try: tool_schemas = self._get_mcp_tool_schemas(server_params) @@ -353,9 +356,10 @@ class MCPToolResolver: asyncio.get_running_loop() import concurrent.futures + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor() as executor: future = executor.submit( - asyncio.run, _setup_client_and_list_tools() + ctx.run, asyncio.run, _setup_client_and_list_tools() ) tools_list = future.result() except RuntimeError: diff --git a/lib/crewai/src/crewai/memory/encoding_flow.py b/lib/crewai/src/crewai/memory/encoding_flow.py index 6792cb4bd..8cd312d4f 100644 --- a/lib/crewai/src/crewai/memory/encoding_flow.py +++ b/lib/crewai/src/crewai/memory/encoding_flow.py @@ -11,6 +11,7 @@ Orchestrates the encoding side of memory in a single Flow with 5 steps: from __future__ import annotations from concurrent.futures import Future, ThreadPoolExecutor +import contextvars from datetime import datetime import math from typing import Any @@ -164,14 +165,20 @@ class EncodingFlow(Flow[EncodingState]): def parallel_find_similar(self) -> None: """Search storage for similar records, concurrently for all active items.""" items = list(self.state.items) - active = [(i, item) for i, item in enumerate(items) if not item.dropped and item.embedding] + active = [ + (i, item) + for i, item in enumerate(items) + if not item.dropped and item.embedding + ] if not active: return - def _search_one(item: ItemState) -> list[tuple[MemoryRecord, float]]: + def _search_one( + item: ItemState, + ) -> list[tuple[MemoryRecord, float]]: scope_prefix = item.scope if item.scope and item.scope.strip("/") else None - return self._storage.search( + return self._storage.search( # type: ignore[no-any-return] item.embedding, scope_prefix=scope_prefix, categories=None, @@ -186,7 +193,14 @@ class EncodingFlow(Flow[EncodingState]): item.top_similarity = float(raw[0][1]) if raw else 0.0 else: with ThreadPoolExecutor(max_workers=min(len(active), 8)) as pool: - futures = [(i, item, pool.submit(_search_one, item)) for i, item in active] + futures = [ + ( + i, + item, + pool.submit(contextvars.copy_context().run, _search_one, item), + ) + for i, item in active + ] for _, item, future in futures: raw = future.result() item.similar_records = [r for r, _ in raw] @@ -250,24 +264,38 @@ class EncodingFlow(Flow[EncodingState]): # Group B: consolidation only self._apply_defaults(item) consol_futures[i] = pool.submit( + contextvars.copy_context().run, analyze_for_consolidation, - item.content, list(item.similar_records), self._llm, + item.content, + list(item.similar_records), + self._llm, ) elif not fields_provided and not has_similar: # Group C: field resolution only save_futures[i] = pool.submit( + contextvars.copy_context().run, analyze_for_save, - item.content, existing_scopes, existing_categories, self._llm, + item.content, + existing_scopes, + existing_categories, + self._llm, ) else: # Group D: both in parallel save_futures[i] = pool.submit( + contextvars.copy_context().run, analyze_for_save, - item.content, existing_scopes, existing_categories, self._llm, + item.content, + existing_scopes, + existing_categories, + self._llm, ) consol_futures[i] = pool.submit( + contextvars.copy_context().run, analyze_for_consolidation, - item.content, list(item.similar_records), self._llm, + item.content, + list(item.similar_records), + self._llm, ) # Collect field-resolution results @@ -300,8 +328,8 @@ class EncodingFlow(Flow[EncodingState]): item.plan = ConsolidationPlan(actions=[], insert_new=True) # Collect consolidation results - for i, future in consol_futures.items(): - items[i].plan = future.result() + for i, consol_future in consol_futures.items(): + items[i].plan = consol_future.result() finally: pool.shutdown(wait=False) @@ -339,7 +367,9 @@ class EncodingFlow(Flow[EncodingState]): # similar_records overlap). Collect one action per record_id, first wins. # Also build a map from record_id to the original MemoryRecord for updates. dedup_deletes: set[str] = set() # record_ids to delete - dedup_updates: dict[str, tuple[int, str]] = {} # record_id -> (item_idx, new_content) + dedup_updates: dict[ + str, tuple[int, str] + ] = {} # record_id -> (item_idx, new_content) all_similar: dict[str, MemoryRecord] = {} # record_id -> MemoryRecord for i, item in enumerate(items): @@ -350,13 +380,24 @@ class EncodingFlow(Flow[EncodingState]): all_similar[r.id] = r for action in item.plan.actions: rid = action.record_id - if action.action == "delete" and rid not in dedup_deletes and rid not in dedup_updates: + if ( + action.action == "delete" + and rid not in dedup_deletes + and rid not in dedup_updates + ): dedup_deletes.add(rid) - elif action.action == "update" and action.new_content and rid not in dedup_deletes and rid not in dedup_updates: + elif ( + action.action == "update" + and action.new_content + and rid not in dedup_deletes + and rid not in dedup_updates + ): dedup_updates[rid] = (i, action.new_content) # --- Batch re-embed all update contents in ONE call --- - update_list = list(dedup_updates.items()) # [(record_id, (item_idx, new_content)), ...] + update_list = list( + dedup_updates.items() + ) # [(record_id, (item_idx, new_content)), ...] update_embeddings: list[list[float]] = [] if update_list: update_contents = [content for _, (_, content) in update_list] @@ -377,16 +418,21 @@ class EncodingFlow(Flow[EncodingState]): if item.dropped or item.plan is None: continue if item.plan.insert_new: - to_insert.append((i, MemoryRecord( - content=item.content, - scope=item.resolved_scope, - categories=item.resolved_categories, - metadata=item.resolved_metadata, - importance=item.resolved_importance, - embedding=item.embedding if item.embedding else None, - source=item.resolved_source, - private=item.resolved_private, - ))) + to_insert.append( + ( + i, + MemoryRecord( + content=item.content, + scope=item.resolved_scope, + categories=item.resolved_categories, + metadata=item.resolved_metadata, + importance=item.resolved_importance, + embedding=item.embedding if item.embedding else None, + source=item.resolved_source, + private=item.resolved_private, + ), + ) + ) # All storage mutations under one lock so no other pipeline can # interleave and cause version conflicts. The lock is reentrant diff --git a/lib/crewai/src/crewai/memory/recall_flow.py b/lib/crewai/src/crewai/memory/recall_flow.py index e0f238861..e257d7f2c 100644 --- a/lib/crewai/src/crewai/memory/recall_flow.py +++ b/lib/crewai/src/crewai/memory/recall_flow.py @@ -11,6 +11,7 @@ Implements adaptive-depth retrieval with: from __future__ import annotations from concurrent.futures import ThreadPoolExecutor, as_completed +import contextvars from datetime import datetime from typing import Any from uuid import uuid4 @@ -103,13 +104,12 @@ class RecallFlow(Flow[RecallState]): ) # Post-filter by time cutoff if self.state.time_cutoff and raw: - raw = [ - (r, s) for r, s in raw if r.created_at >= self.state.time_cutoff - ] + raw = [(r, s) for r, s in raw if r.created_at >= self.state.time_cutoff] # Privacy filter if not self.state.include_private and raw: raw = [ - (r, s) for r, s in raw + (r, s) + for r, s in raw if not r.private or r.source == self.state.source ] return scope, raw @@ -130,15 +130,20 @@ class RecallFlow(Flow[RecallState]): top_composite, _ = compute_composite_score( results[0][0], results[0][1], self._config ) - findings.append({ - "scope": scope, - "results": results, - "top_score": top_composite, - }) + findings.append( + { + "scope": scope, + "results": results, + "top_score": top_composite, + } + ) else: with ThreadPoolExecutor(max_workers=min(len(tasks), 4)) as pool: futures = { - pool.submit(_search_one, emb, sc): (emb, sc) + pool.submit(contextvars.copy_context().run, _search_one, emb, sc): ( + emb, + sc, + ) for emb, sc in tasks } for future in as_completed(futures): @@ -147,16 +152,16 @@ class RecallFlow(Flow[RecallState]): top_composite, _ = compute_composite_score( results[0][0], results[0][1], self._config ) - findings.append({ - "scope": scope, - "results": results, - "top_score": top_composite, - }) + findings.append( + { + "scope": scope, + "results": results, + "top_score": top_composite, + } + ) self.state.chunk_findings = findings - self.state.confidence = max( - (f["top_score"] for f in findings), default=0.0 - ) + self.state.confidence = max((f["top_score"] for f in findings), default=0.0) return findings # ------------------------------------------------------------------ @@ -210,12 +215,16 @@ class RecallFlow(Flow[RecallState]): # Parse time_filter into a datetime cutoff if analysis.time_filter: try: - self.state.time_cutoff = datetime.fromisoformat(analysis.time_filter) + self.state.time_cutoff = datetime.fromisoformat( + analysis.time_filter + ) except ValueError: pass # Batch-embed all sub-queries in ONE call - queries = analysis.recall_queries if analysis.recall_queries else [self.state.query] + queries = ( + analysis.recall_queries if analysis.recall_queries else [self.state.query] + ) queries = queries[:3] embeddings = embed_texts(self._embedder, queries) pairs: list[tuple[str, list[float]]] = [ @@ -296,17 +305,21 @@ class RecallFlow(Flow[RecallState]): response = self._llm.call([{"role": "user", "content": prompt}]) if isinstance(response, str) and "missing" in response.lower(): self.state.evidence_gaps.append(response[:200]) - enhanced.append({ - "scope": finding["scope"], - "extraction": response, - "results": finding["results"], - }) + enhanced.append( + { + "scope": finding["scope"], + "extraction": response, + "results": finding["results"], + } + ) except Exception: - enhanced.append({ - "scope": finding["scope"], - "extraction": "", - "results": finding["results"], - }) + enhanced.append( + { + "scope": finding["scope"], + "extraction": "", + "results": finding["results"], + } + ) self.state.chunk_findings = enhanced return enhanced @@ -318,7 +331,7 @@ class RecallFlow(Flow[RecallState]): @router(re_search) def re_decide_depth(self) -> str: """Re-evaluate depth after re-search. Same logic as decide_depth.""" - return self.decide_depth() + return self.decide_depth() # type: ignore[call-arg] @listen("synthesize") def synthesize_results(self) -> list[MemoryMatch]: diff --git a/lib/crewai/src/crewai/memory/storage/lancedb_storage.py b/lib/crewai/src/crewai/memory/storage/lancedb_storage.py index 424898d52..64cb3e393 100644 --- a/lib/crewai/src/crewai/memory/storage/lancedb_storage.py +++ b/lib/crewai/src/crewai/memory/storage/lancedb_storage.py @@ -3,6 +3,7 @@ from __future__ import annotations from contextlib import AbstractContextManager +import contextvars from datetime import datetime import json import logging @@ -250,8 +251,10 @@ class LanceDBStorage: def _compact_async(self) -> None: """Fire-and-forget: compact the table in a daemon background thread.""" + ctx = contextvars.copy_context() threading.Thread( - target=self._compact_safe, + target=ctx.run, + args=(self._compact_safe,), daemon=True, name="lancedb-compact", ).start() diff --git a/lib/crewai/src/crewai/memory/unified_memory.py b/lib/crewai/src/crewai/memory/unified_memory.py index cb4954c39..2d367dcf8 100644 --- a/lib/crewai/src/crewai/memory/unified_memory.py +++ b/lib/crewai/src/crewai/memory/unified_memory.py @@ -3,6 +3,7 @@ from __future__ import annotations from concurrent.futures import Future, ThreadPoolExecutor +import contextvars from datetime import datetime import threading import time @@ -229,8 +230,9 @@ class Memory(BaseModel): If the pool has been shut down (e.g. after ``close()``), the save runs synchronously as a fallback so late saves still succeed. """ + ctx = contextvars.copy_context() try: - future: Future[Any] = self._save_pool.submit(fn, *args, **kwargs) + future: Future[Any] = self._save_pool.submit(ctx.run, fn, *args, **kwargs) except RuntimeError: # Pool shut down -- run synchronously as fallback future = Future() diff --git a/lib/crewai/src/crewai/project/annotations.py b/lib/crewai/src/crewai/project/annotations.py index 160359540..c198c979a 100644 --- a/lib/crewai/src/crewai/project/annotations.py +++ b/lib/crewai/src/crewai/project/annotations.py @@ -4,6 +4,7 @@ from __future__ import annotations import asyncio from collections.abc import Callable +import contextvars from functools import wraps import inspect from typing import TYPE_CHECKING, Any, Concatenate, ParamSpec, TypeVar, overload @@ -169,8 +170,9 @@ def _call_method(method: Callable[..., Any], *args: Any, **kwargs: Any) -> Any: if loop and loop.is_running(): import concurrent.futures + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor() as pool: - return pool.submit(asyncio.run, result).result() + return pool.submit(ctx.run, asyncio.run, result).result() return asyncio.run(result) return result diff --git a/lib/crewai/src/crewai/project/wrappers.py b/lib/crewai/src/crewai/project/wrappers.py index 3d570b6f0..cbd784d09 100644 --- a/lib/crewai/src/crewai/project/wrappers.py +++ b/lib/crewai/src/crewai/project/wrappers.py @@ -4,6 +4,7 @@ from __future__ import annotations import asyncio from collections.abc import Callable +import contextvars from functools import partial import inspect from pathlib import Path @@ -146,8 +147,9 @@ def _resolve_result(result: Any) -> Any: if loop and loop.is_running(): import concurrent.futures + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor() as pool: - return pool.submit(asyncio.run, result).result() + return pool.submit(ctx.run, asyncio.run, result).result() return asyncio.run(result) return result diff --git a/lib/crewai/src/crewai/tools/mcp_native_tool.py b/lib/crewai/src/crewai/tools/mcp_native_tool.py index dec365d58..4816e87db 100644 --- a/lib/crewai/src/crewai/tools/mcp_native_tool.py +++ b/lib/crewai/src/crewai/tools/mcp_native_tool.py @@ -7,6 +7,7 @@ concurrently by the executor. import asyncio from collections.abc import Callable +import contextvars from typing import Any from crewai.tools import BaseTool @@ -84,9 +85,10 @@ class MCPNativeTool(BaseTool): import concurrent.futures + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor() as executor: coro = self._run_async(**kwargs) - future = executor.submit(asyncio.run, coro) + future = executor.submit(ctx.run, asyncio.run, coro) return future.result() except RuntimeError: return asyncio.run(self._run_async(**kwargs)) diff --git a/lib/crewai/src/crewai/utilities/agent_utils.py b/lib/crewai/src/crewai/utilities/agent_utils.py index e4f3d3fee..e0aee388b 100644 --- a/lib/crewai/src/crewai/utilities/agent_utils.py +++ b/lib/crewai/src/crewai/utilities/agent_utils.py @@ -3,6 +3,7 @@ from __future__ import annotations import asyncio from collections.abc import Callable, Sequence import concurrent.futures +import contextvars import inspect import json import re @@ -907,8 +908,9 @@ def summarize_messages( chunks=chunks, llm=llm, callbacks=callbacks, i18n=i18n ) if is_inside_event_loop(): + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool: - summarized_contents = pool.submit(asyncio.run, coro).result() + summarized_contents = pool.submit(ctx.run, asyncio.run, coro).result() else: summarized_contents = asyncio.run(coro) diff --git a/lib/crewai/src/crewai/utilities/file_store.py b/lib/crewai/src/crewai/utilities/file_store.py index a1e322c87..65748f454 100644 --- a/lib/crewai/src/crewai/utilities/file_store.py +++ b/lib/crewai/src/crewai/utilities/file_store.py @@ -5,6 +5,7 @@ from __future__ import annotations import asyncio from collections.abc import Coroutine import concurrent.futures +import contextvars import logging from typing import TYPE_CHECKING, TypeVar from uuid import UUID @@ -46,8 +47,9 @@ def _run_sync(coro: Coroutine[None, None, T]) -> T: """ try: asyncio.get_running_loop() + ctx = contextvars.copy_context() with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor: - future = executor.submit(asyncio.run, coro) + future = executor.submit(ctx.run, asyncio.run, coro) return future.result() except RuntimeError: return asyncio.run(coro) diff --git a/lib/crewai/tests/cassettes/test_before_kickoff_callback.yaml b/lib/crewai/tests/cassettes/test_before_kickoff_callback.yaml index 6cec0d932..05251afc2 100644 --- a/lib/crewai/tests/cassettes/test_before_kickoff_callback.yaml +++ b/lib/crewai/tests/cassettes/test_before_kickoff_callback.yaml @@ -1,828 +1,109 @@ interactions: - request: - body: !!binary | - CvP7AQokCiIKDHNlcnZpY2UubmFtZRISChBjcmV3QUktdGVsZW1ldHJ5Esn7AQoSChBjcmV3YWku - dGVsZW1ldHJ5Ep4HChBGdupVRwCZRqXxk3FnMwCbEghSR8rOc1qkfCoMQ3JldyBDcmVhdGVkMAE5 - 8GzO7sagGhhBOAHe7sagGhhKGgoOY3Jld2FpX3ZlcnNpb24SCAoGMC45NS4wShoKDnB5dGhvbl92 - ZXJzaW9uEggKBjMuMTIuN0ouCghjcmV3X2tleRIiCiBjOTdiNWZlYjVkMWI2NmJiNTkwMDZhYWEw - MWEyOWNkNkoxCgdjcmV3X2lkEiYKJDk1NGM2OTJmLTc5Y2ItNGZlZi05NjNkLWUyMGRkMjFhMjAw - MUocCgxjcmV3X3Byb2Nlc3MSDAoKc2VxdWVudGlhbEoRCgtjcmV3X21lbW9yeRICEABKGgoUY3Jl - 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An article diving into this topic could unravel + how cutting-edge advancements in reinforcement learning, natural language processing, + and multi-agent systems are propelling AI agents beyond rigid scripts into dynamic + collaborators and problem solvers. It would offer readers insights into real-world + applications\u2014such as autonomous drones, financial trading bots, and personalized + digital assistants\u2014and speculate on ethical considerations and regulatory + frameworks shaping their future. This exploration emphasizes the transformative + potential and the challenges that autonomous AI agents pose to industries and + society at large.\\n\\n- **Bridging the Gap Between AI Agents and Human Collaboration** + \ \\nAI agents are no longer isolated tools but increasingly integral collaborators + in creative and professional workflows. An article tackling this theme could + examine the latest progress in human-AI interaction models, including explainability, + adaptability, and collaborative problem-solving. It would highlight how AI agents + are augmenting human capabilities in fields like healthcare diagnostics, content + creation, customer service, and software development. The narrative could also + include case studies demonstrating successful AI-human partnerships along with + the psychological and ergonomic aspects critical to designing AI agents that + work harmoniously with humans. Such a piece would resonate deeply with readers + interested in the symbiosis between artificial intelligence and human ingenuity.\\n\\n- + **The Rise of AI Agents in Cybersecurity: Defense and Offense** \\nIn cybersecurity, + AI agents are becoming indispensable, not only in defensive roles but also on + the offensive front. 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By unpacking the complex moral landscape + surrounding AI agents, this piece would offer critical insight for policymakers, + developers, and society at large.\\n\\nThis is the expected criteria for your + final answer: Evaluation Score from 1 to 10 based on the performance of the + agents on the tasks\\nyou MUST return the actual complete content as the final + answer, not a summary.\\nFormat your final answer according to the following + OpenAPI schema: {\\n \\\"properties\\\": {\\n \\\"quality\\\": {\\n \\\"description\\\": + \\\"A score from 1 to 10 evaluating on completion, quality, and overall performance + from the task_description and task_expected_output to the actual Task Output.\\\",\\n + \ \\\"title\\\": \\\"Quality\\\",\\n \\\"type\\\": \\\"number\\\"\\n + \ }\\n },\\n \\\"required\\\": [\\n \\\"quality\\\"\\n ],\\n \\\"title\\\": + \\\"TaskEvaluationPydanticOutput\\\",\\n \\\"type\\\": \\\"object\\\",\\n \\\"additionalProperties\\\": + false\\n}\\n\\nIMPORTANT: Preserve the original content exactly as-is. 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Ensure the final output does not include any code block markers like + ```json or ```python.\\n\\nProvide your complete response:\"}],\"model\":\"gpt-4o-mini\",\"response_format\":{\"type\":\"json_schema\",\"json_schema\":{\"schema\":{\"properties\":{\"quality\":{\"description\":\"A score from 1 to 10 evaluating on completion, quality, and overall performance from the task_description and task_expected_output to the actual Task Output.\",\"title\":\"Quality\",\"type\":\"number\"}},\"required\":[\"quality\"],\"title\":\"TaskEvaluationPydanticOutput\",\"type\":\"object\",\"additionalProperties\":false},\"name\":\"TaskEvaluationPydanticOutput\",\"strict\":true}},\"stream\":false}" headers: @@ -252,7 +268,7 @@ interactions: connection: - keep-alive content-length: - - '6502' + - '7184' content-type: - application/json host: @@ -276,31 +292,33 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.12 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-DDFzQTBe214rOuf82URXmgkuNj5u4\",\n \"object\": - \"chat.completion\",\n \"created\": 1772052100,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-DIjm0WxDVIL9NNzw98XHHh3cA4Yeh\",\n \"object\": + \"chat.completion\",\n \"created\": 1773358228,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"{\\\"quality\\\":9}\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 1134,\n \"completion_tokens\": 5,\n \"total_tokens\": 1139,\n \"prompt_tokens_details\": + 1257,\n \"completion_tokens\": 5,\n \"total_tokens\": 1262,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_bd4be55b21\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_e609550549\"\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db696379bb48095-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Wed, 25 Feb 2026 20:41:40 GMT + - Thu, 12 Mar 2026 23:30:28 GMT Server: - cloudflare Strict-Transport-Security: @@ -313,12 +331,10 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '241' + - '380' openai-project: - OPENAI-PROJECT-XXX openai-version: @@ -356,54 +372,62 @@ interactions: paragraph and your notes.\\n\\nThis is the expected criteria for your final answer: 5 bullet points with a paragraph for each idea.\\nyou MUST return the actual complete content as the final answer, not a summary.\\n\\nProvide your - complete response:\"},{\"role\":\"assistant\",\"content\":\"- **The Rise of - Autonomous AI Agents: Redefining Productivity and Creativity** \\n This article - would dive into how autonomous AI agents\u2014intelligent software systems capable - of independently performing complex tasks\u2014are transforming industries by - augmenting human productivity and creativity. It would explore real-world use - cases from automated content generation and customer support bots to AI-driven - design and research assistants, illustrating how these agents reduce repetitive - workload and open new avenues for innovation. The article could also analyze - challenges such as ethical considerations, decision-making transparency, and - integration with existing workflows, offering readers a comprehensive view of - how autonomous AI agents are reshaping the future of work.\\n\\n- **Bridging - Human-AI Collaboration: Designing AI Agents for Intuitive Interaction** \\n - \ This piece would investigate the critical design principles behind successful - human-AI collaboration, focusing on building AI agents that communicate and - interact naturally with users. From natural language processing nuances to adaptive - learning from user behavior, the article would examine how these technological - advancements create seamless partnerships between humans and machines. Highlighting - case studies in healthcare, finance, and creative industries, it would demonstrate - the importance of trust, interpretability, and empathy in AI agent interfaces, - emphasizing how better-designed interactions can dramatically improve adoption - and effectiveness.\\n\\n- **The Ethical Frontier: Navigating Bias and Accountability - in AI Agents** \\n Exploring the ethical implications of deploying AI agents - at scale, this article would address pressing issues like algorithmic bias, - privacy concerns, and accountability in autonomous decision-making. It would - analyze how biases embedded in training data can propagate through AI agents, - impacting critical outcomes in hiring, lending, and law enforcement. The article - would also discuss emerging regulatory frameworks, best practices for auditing - AI agents, and the role of interdisciplinary ethics teams in ensuring these - technologies are fair, transparent, and responsible, helping readers grasp the - societal responsibilities accompanying AI advancement.\\n\\n- **AI Agents in - Startups: Driving Innovation and Competitive Advantage** \\n Focused on the - startup ecosystem, this article would explore how emerging companies leverage - AI agents to disrupt markets and scale rapidly with limited resources. It would - profile startups using AI agents for customer acquisition, personalized marketing, - operational automation, and product development, illustrating how these tools - enable lean teams to achieve much more. The narrative would consider investment - trends, challenges faced by startups incorporating AI agents, and strategies - for balancing innovation with reliability, providing entrepreneurs and investors - with valuable insights into harnessing AI agents for meaningful growth.\\n\\n- - **From Data to Decision: How AI Agents Transform Business Intelligence** \\n - \ This article would delve into the role of AI agents as intelligent intermediaries - in business intelligence (BI) systems, automating data analysis and delivering - actionable insights in real-time. It would explain how AI agents can parse vast - datasets, identify trends, generate forecasts, and even suggest strategic decisions - without constant human oversight. Highlighting innovations like conversational - BI interfaces and predictive analytics agents, the article would underscore - how businesses of all sizes can democratize data-driven decision-making, driving - agility and competitive advantage in increasingly complex markets.\"},{\"role\":\"system\",\"content\":\"You + complete response:\"},{\"role\":\"assistant\",\"content\":\"- **The Future of + Autonomous AI Agents: From Task Automation to Decision Making** \\nExploring + the evolving landscape of autonomous AI agents reveals a fascinating journey + from simple task automation to complex decision-making systems capable of self-learning + and adaptation. An article diving into this topic could unravel how cutting-edge + advancements in reinforcement learning, natural language processing, and multi-agent + systems are propelling AI agents beyond rigid scripts into dynamic collaborators + and problem solvers. It would offer readers insights into real-world applications\u2014such + as autonomous drones, financial trading bots, and personalized digital assistants\u2014and + speculate on ethical considerations and regulatory frameworks shaping their + future. This exploration emphasizes the transformative potential and the challenges + that autonomous AI agents pose to industries and society at large.\\n\\n- **Bridging + the Gap Between AI Agents and Human Collaboration** \\nAI agents are no longer + isolated tools but increasingly integral collaborators in creative and professional + workflows. An article tackling this theme could examine the latest progress + in human-AI interaction models, including explainability, adaptability, and + collaborative problem-solving. It would highlight how AI agents are augmenting + human capabilities in fields like healthcare diagnostics, content creation, + customer service, and software development. The narrative could also include + case studies demonstrating successful AI-human partnerships along with the psychological + and ergonomic aspects critical to designing AI agents that work harmoniously + with humans. Such a piece would resonate deeply with readers interested in the + symbiosis between artificial intelligence and human ingenuity.\\n\\n- **The + Rise of AI Agents in Cybersecurity: Defense and Offense** \\nIn cybersecurity, + AI agents are becoming indispensable, not only in defensive roles but also on + the offensive front. An article focused on this area could deliver a comprehensive + analysis of how AI agents detect and respond to threats in real time, employing + techniques like anomaly detection, behavioral analysis, and automated incident + response. Additionally, it would delve into the darker side: the use of AI agents + by malicious actors for sophisticated cyber-attacks, including adaptive malware + and social engineering bots. This dual perspective could provide a thrilling + and nuanced investigation of the cybersecurity landscape dominated by AI, shedding + light on strategic innovations, emerging threats, and the ongoing arms race + between attackers and defenders.\\n\\n- **AI Agents in Startups: Revolutionizing + Business Models and Customer Experience** \\nStartups are leveraging AI agents + as a catalyst for innovation, scalability, and personalization, fundamentally + transforming traditional business models. An article on this topic could survey + real examples where AI agents streamline operations, enable hyper-personalized + marketing, automate customer support, and generate actionable business insights. + It would analyze how the integration of AI agents accelerates product-market + fit through rapid iteration and data-driven decision-making. Moreover, the article + could explore challenges unique to startup environments, such as resource constraints, + technology adoption hurdles, and ethical considerations around AI deployment. + This comprehensive view would inspire entrepreneurs and investors alike, spotlighting + AI agents as game changers in the startup ecosystem.\\n\\n- **Ethical and Societal + Implications of Delegating Decisions to AI Agents** \\nAs AI agents increasingly + take on decision-making roles with significant real-world impact, ethical and + societal questions come sharply into focus. An article on this theme could dissect + challenges concerning accountability, transparency, bias, and human autonomy. + It would provide an in-depth treatment of case studies where AI agents\u2019 + decisions led to unintended consequences or public backlash, and the regulatory + and design frameworks proposed to mitigate these risks. Furthermore, the article + could explore philosophical questions about trust, control, and the future relationship + between humans and AI decision-makers. By unpacking the complex moral landscape + surrounding AI agents, this piece would offer critical insight for policymakers, + developers, and society at large.\"},{\"role\":\"system\",\"content\":\"You are Researcher. You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.\\nYour personal goal is: Make @@ -427,7 +451,7 @@ interactions: connection: - keep-alive content-length: - - '5482' + - '6164' content-type: - application/json cookie: @@ -451,88 +475,88 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.12 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-DDFzR5eiizUskHHVDIqVHcFSGrZxy\",\n \"object\": - \"chat.completion\",\n \"created\": 1772052101,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-DIjm02rlgGyxm8CuBCxW7VcLsZ2UH\",\n \"object\": + \"chat.completion\",\n \"created\": 1773358228,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"- **The Evolution of AI Agents: From - Simple Automation to Context-Aware Decision Makers** \\n This article would - chart the remarkable progression of AI agents, tracing their journey from - rule-based automation systems to sophisticated, context-aware entities capable - of reasoning and adapting within complex environments. By exploring advances - in reinforcement learning, natural language understanding, and multi-agent - collaboration, readers would gain insight into how modern AI agents operate - with increasing autonomy. The piece could include cutting-edge research examples - and practical applications, illustrating how this evolution unlocks new possibilities - across industries such as healthcare, logistics, and customer service, truly - showcasing the expanding potential and impact of AI agents in everyday life.\\n\\n- - **Designing Trustworthy AI Agents: Balancing Transparency and Performance** - \ \\n Focusing on the critical issue of trust, this article would explore - the tension between creating AI agents that offer high performance and those - designed to be transparent and explainable to users. It would delve into techniques - like explainable AI (XAI), confidence scoring, and user-centric design principles - that foster trust and accountability. With a mix of theoretical insights and - real-world implementations, the article would highlight how companies tackle - challenges in deploying AI agents responsibly\u2014especially in sensitive - domains like finance, law enforcement, and healthcare\u2014demonstrating how - trustworthiness can become a competitive advantage in AI-driven services.\\n\\n- - **AI Agents as Personal Productivity Assistants: Beyond Scheduling and Reminders** - \ \\n This topic examines how AI agents are evolving from basic virtual assistants - to powerful personal productivity coaches that understand context, anticipate - needs, and proactively manage tasks. The article would investigate advances - in multi-modal understanding, emotional intelligence, and continuous learning - that enable AI agents to provide nuanced support in time management, email - triage, project coordination, and even creative brainstorming. Case studies - from popular platforms and startups would showcase how this new generation - of AI agents is revolutionizing daily workflows for professionals across sectors, - offering readers a forward-looking perspective on the future of personal digital - assistance.\\n\\n- **Collaborative AI Agents in Multi-Agent Systems: Driving - Complex Problem Solving** \\n This article would focus on the growing field - of multi-agent AI systems, where multiple AI agents communicate, negotiate, - and collaborate to solve problems that are too complex for a single agent. - It would highlight research advances in swarm intelligence, decentralized - decision-making, and cooperative game theory, and demonstrate practical applications - ranging from autonomous vehicle fleets to smart grid management and disaster - response coordination. By unpacking these complex interactions, the article - would engage readers with the fascinating dynamics of AI ecosystems and the - promise of collaborative agents to address society\u2019s grand challenges.\\n\\n- - **Startups Building Next-Gen AI Agents: Innovating at the Intersection of - AI and User Experience** \\n Highlighting startups at the forefront of AI - agent technology, this article would provide an in-depth look at how these - ventures blend cutting-edge artificial intelligence with seamless user experiences - to disrupt traditional markets. It would examine how startups harness advances - in natural language processing, reinforcement learning, and personalized modeling - to create AI agents that feel intuitive and human-like, powering applications - in healthcare, education, finance, and customer engagement. The article would - also discuss funding trends, go-to-market strategies, and technological challenges, - offering entrepreneurs, investors, and technologists valuable insights into - what it takes to succeed in the burgeoning AI agent landscape.\\n\\n**Notes:** - \ \\nThese ideas are crafted to cover a broad spectrum of AI agent-related - topics, combining technical depth with real-world relevance. Each paragraph - aims to showcase the potential richness, relevance, and appeal of a full article, - ensuring the content would engage a diverse readership, from AI researchers - and software engineers to startup founders and business leaders interested - in AI innovation.\",\n \"refusal\": null,\n \"annotations\": + \"assistant\",\n \"content\": \"- **How AI Agents are Shaping the Future + of Personalized Learning** \\nAn article exploring how AI agents are revolutionizing + personalized learning could captivate readers by detailing how these intelligent + systems adapt educational content in real time to meet individual learner + needs. By combining adaptive learning algorithms, natural language understanding, + and behavioral analytics, AI agents are transforming classrooms and online + platforms alike, providing personalized feedback, pacing, and even motivation + strategies. This piece would dive into current implementations, such as AI + tutors and automated grading, and forecast the potential for lifelong learning + companions that evolve alongside the learner\u2019s growth. Readers would + gain a comprehensive view of how AI agents can democratize access to education + while enhancing efficacy across diverse learning environments.\\n\\n- **The + Role of AI Agents in Accelerating Drug Discovery and Healthcare Innovation** + \ \\nThis article would provide a compelling exploration of how AI agents + are accelerating drug discovery by automating complex data analysis, predicting + molecular interactions, and optimizing clinical trial design. It would highlight + cutting-edge examples where AI agents collaborate with humans to speed up + identifying promising compounds, reducing costs, and shortening development + cycles. Beyond pharmaceuticals, the article could explore AI agents\u2019 + expanding roles in personalized medicine, patient monitoring, and diagnostic + support. With healthcare challenges mounting globally, this topic offers high + relevance and excitement by showcasing how AI agents act as catalysts for + breakthroughs that can save lives and transform medical care.\\n\\n- **Collaborative + AI Agents: The Next Frontier in Software Development and DevOps** \\nAn in-depth + article on collaborative AI agents in software engineering would showcase + how these tools enhance productivity and code quality by automating routine + tasks, catching bugs, and assisting in code reviews. It could examine emerging + AI agents designed for pair programming, continuous integration, deployment + automation, and intelligent testing. By integrating seamlessly into DevOps + pipelines, these AI collaborators reduce human error, speed up delivery cycles, + and enable developers to focus on innovation. The piece would also discuss + challenges like trust, explainability, and maintaining human oversight, appealing + to software engineers and technology leaders eager to understand the practical + implications of AI agents in development workflows.\\n\\n- **AI Agents and + the Evolution of Customer Experience in Digital Businesses** \\nThis article + would explore the transformative role AI agents play in reshaping customer + experience for digital-first businesses. It could cover AI-powered chatbots, + recommendation engines, sentiment analysis tools, and personalized marketing + agents, illustrating how these intelligent systems enhance engagement and + satisfaction while reducing operational costs. By weaving in real-world case + studies and data, the article would demonstrate how AI agents help companies + anticipate customer needs, resolve issues proactively, and create seamless + omnichannel interactions. The narrative could also touch on the balance between + automation and human touch, offering strategic insights for businesses aiming + to harness AI agents without compromising brand loyalty and trust.\\n\\n- + **Ethical Frameworks for the Deployment of Autonomous AI Agents in Society** + \ \\nThis article would address the critical and timely topic of ethical considerations + surrounding the deployment of autonomous AI agents in public and private spheres. + It would systematically analyze issues such as accountability, transparency, + fairness, privacy, and unintended consequences when AI agents make decisions + or act autonomously. The article could feature interviews with ethicists, + policymakers, and researchers, and review current regulatory efforts and standards + shaping AI governance. By unpacking this complex terrain, the article would + provide a thoughtful, multidisciplinary perspective crucial for stakeholders + aiming to responsibly develop and deploy AI agents in ways that align with + societal values and legal frameworks.\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 926,\n \"completion_tokens\": - 727,\n \"total_tokens\": 1653,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 1049,\n \"completion_tokens\": + 677,\n \"total_tokens\": 1726,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_417e90869b\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_ae0f8c9a7b\"\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db696410a2db911-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Wed, 25 Feb 2026 20:41:50 GMT + - Thu, 12 Mar 2026 23:30:38 GMT Server: - cloudflare Strict-Transport-Security: @@ -545,12 +569,10 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '9082' + - '9221' openai-project: - OPENAI-PROJECT-XXX openai-version: @@ -590,76 +612,74 @@ interactions: list of ideas with their paragraph and your notes. task_expected_output: 5 bullet points with a paragraph for each idea. agent: Researcher agent_goal: Make the best research and analysis on content about AI and AI agents Task Output: - - **The Evolution of AI Agents: From Simple Automation to Context-Aware Decision - Makers** \\n This article would chart the remarkable progression of AI agents, - tracing their journey from rule-based automation systems to sophisticated, context-aware - entities capable of reasoning and adapting within complex environments. By exploring - advances in reinforcement learning, natural language understanding, and multi-agent - collaboration, readers would gain insight into how modern AI agents operate - with increasing autonomy. The piece could include cutting-edge research examples - and practical applications, illustrating how this evolution unlocks new possibilities - across industries such as healthcare, logistics, and customer service, truly - showcasing the expanding potential and impact of AI agents in everyday life.\\n\\n- - **Designing Trustworthy AI Agents: Balancing Transparency and Performance** - \ \\n Focusing on the critical issue of trust, this article would explore the - tension between creating AI agents that offer high performance and those designed - to be transparent and explainable to users. It would delve into techniques like - explainable AI (XAI), confidence scoring, and user-centric design principles - that foster trust and accountability. With a mix of theoretical insights and - real-world implementations, the article would highlight how companies tackle - challenges in deploying AI agents responsibly\u2014especially in sensitive domains - like finance, law enforcement, and healthcare\u2014demonstrating how trustworthiness - can become a competitive advantage in AI-driven services.\\n\\n- **AI Agents - as Personal Productivity Assistants: Beyond Scheduling and Reminders** \\n - \ This topic examines how AI agents are evolving from basic virtual assistants - to powerful personal productivity coaches that understand context, anticipate - needs, and proactively manage tasks. The article would investigate advances - in multi-modal understanding, emotional intelligence, and continuous learning - that enable AI agents to provide nuanced support in time management, email triage, - project coordination, and even creative brainstorming. Case studies from popular - platforms and startups would showcase how this new generation of AI agents is - revolutionizing daily workflows for professionals across sectors, offering readers - a forward-looking perspective on the future of personal digital assistance.\\n\\n- - **Collaborative AI Agents in Multi-Agent Systems: Driving Complex Problem Solving** - \ \\n This article would focus on the growing field of multi-agent AI systems, - where multiple AI agents communicate, negotiate, and collaborate to solve problems - that are too complex for a single agent. It would highlight research advances - in swarm intelligence, decentralized decision-making, and cooperative game theory, - and demonstrate practical applications ranging from autonomous vehicle fleets - to smart grid management and disaster response coordination. By unpacking these - complex interactions, the article would engage readers with the fascinating - dynamics of AI ecosystems and the promise of collaborative agents to address - society\u2019s grand challenges.\\n\\n- **Startups Building Next-Gen AI Agents: - Innovating at the Intersection of AI and User Experience** \\n Highlighting - startups at the forefront of AI agent technology, this article would provide - an in-depth look at how these ventures blend cutting-edge artificial intelligence - with seamless user experiences to disrupt traditional markets. It would examine - how startups harness advances in natural language processing, reinforcement - learning, and personalized modeling to create AI agents that feel intuitive - and human-like, powering applications in healthcare, education, finance, and - customer engagement. The article would also discuss funding trends, go-to-market - strategies, and technological challenges, offering entrepreneurs, investors, - and technologists valuable insights into what it takes to succeed in the burgeoning - AI agent landscape.\\n\\n**Notes:** \\nThese ideas are crafted to cover a broad - spectrum of AI agent-related topics, combining technical depth with real-world - relevance. Each paragraph aims to showcase the potential richness, relevance, - and appeal of a full article, ensuring the content would engage a diverse readership, - from AI researchers and software engineers to startup founders and business - leaders interested in AI innovation.\\n\\nThis is the expected criteria for - your final answer: Evaluation Score from 1 to 10 based on the performance of - the agents on the tasks\\nyou MUST return the actual complete content as the - final answer, not a summary.\\nFormat your final answer according to the following - OpenAPI schema: {\\n \\\"properties\\\": {\\n \\\"quality\\\": {\\n \\\"description\\\": - \\\"A score from 1 to 10 evaluating on completion, quality, and overall performance - from the task_description and task_expected_output to the actual Task Output.\\\",\\n - \ \\\"title\\\": \\\"Quality\\\",\\n \\\"type\\\": \\\"number\\\"\\n - \ }\\n },\\n \\\"required\\\": [\\n \\\"quality\\\"\\n ],\\n \\\"title\\\": - \\\"TaskEvaluationPydanticOutput\\\",\\n \\\"type\\\": \\\"object\\\",\\n \\\"additionalProperties\\\": - false\\n}\\n\\nIMPORTANT: Preserve the original content exactly as-is. Do NOT - rewrite, paraphrase, or modify the meaning of the content. Only structure it - to match the schema format.\\n\\nDo not include the OpenAPI schema in the final - output. Ensure the final output does not include any code block markers like - ```json or ```python.\\n\\nProvide your complete response:\"}],\"model\":\"gpt-4o-mini\",\"response_format\":{\"type\":\"json_schema\",\"json_schema\":{\"schema\":{\"properties\":{\"quality\":{\"description\":\"A + **How AI Agents are Shaping the Future of Personalized Learning** \\nAn article + exploring how AI agents are revolutionizing personalized learning could captivate + readers by detailing how these intelligent systems adapt educational content + in real time to meet individual learner needs. By combining adaptive learning + algorithms, natural language understanding, and behavioral analytics, AI agents + are transforming classrooms and online platforms alike, providing personalized + feedback, pacing, and even motivation strategies. This piece would dive into + current implementations, such as AI tutors and automated grading, and forecast + the potential for lifelong learning companions that evolve alongside the learner\u2019s + growth. Readers would gain a comprehensive view of how AI agents can democratize + access to education while enhancing efficacy across diverse learning environments.\\n\\n- + **The Role of AI Agents in Accelerating Drug Discovery and Healthcare Innovation** + \ \\nThis article would provide a compelling exploration of how AI agents are + accelerating drug discovery by automating complex data analysis, predicting + molecular interactions, and optimizing clinical trial design. It would highlight + cutting-edge examples where AI agents collaborate with humans to speed up identifying + promising compounds, reducing costs, and shortening development cycles. Beyond + pharmaceuticals, the article could explore AI agents\u2019 expanding roles in + personalized medicine, patient monitoring, and diagnostic support. With healthcare + challenges mounting globally, this topic offers high relevance and excitement + by showcasing how AI agents act as catalysts for breakthroughs that can save + lives and transform medical care.\\n\\n- **Collaborative AI Agents: The Next + Frontier in Software Development and DevOps** \\nAn in-depth article on collaborative + AI agents in software engineering would showcase how these tools enhance productivity + and code quality by automating routine tasks, catching bugs, and assisting in + code reviews. It could examine emerging AI agents designed for pair programming, + continuous integration, deployment automation, and intelligent testing. By integrating + seamlessly into DevOps pipelines, these AI collaborators reduce human error, + speed up delivery cycles, and enable developers to focus on innovation. The + piece would also discuss challenges like trust, explainability, and maintaining + human oversight, appealing to software engineers and technology leaders eager + to understand the practical implications of AI agents in development workflows.\\n\\n- + **AI Agents and the Evolution of Customer Experience in Digital Businesses** + \ \\nThis article would explore the transformative role AI agents play in reshaping + customer experience for digital-first businesses. It could cover AI-powered + chatbots, recommendation engines, sentiment analysis tools, and personalized + marketing agents, illustrating how these intelligent systems enhance engagement + and satisfaction while reducing operational costs. By weaving in real-world + case studies and data, the article would demonstrate how AI agents help companies + anticipate customer needs, resolve issues proactively, and create seamless omnichannel + interactions. The narrative could also touch on the balance between automation + and human touch, offering strategic insights for businesses aiming to harness + AI agents without compromising brand loyalty and trust.\\n\\n- **Ethical Frameworks + for the Deployment of Autonomous AI Agents in Society** \\nThis article would + address the critical and timely topic of ethical considerations surrounding + the deployment of autonomous AI agents in public and private spheres. It would + systematically analyze issues such as accountability, transparency, fairness, + privacy, and unintended consequences when AI agents make decisions or act autonomously. + The article could feature interviews with ethicists, policymakers, and researchers, + and review current regulatory efforts and standards shaping AI governance. By + unpacking this complex terrain, the article would provide a thoughtful, multidisciplinary + perspective crucial for stakeholders aiming to responsibly develop and deploy + AI agents in ways that align with societal values and legal frameworks.\\n\\nThis + is the expected criteria for your final answer: Evaluation Score from 1 to 10 + based on the performance of the agents on the tasks\\nyou MUST return the actual + complete content as the final answer, not a summary.\\nFormat your final answer + according to the following OpenAPI schema: {\\n \\\"properties\\\": {\\n \\\"quality\\\": + {\\n \\\"description\\\": \\\"A score from 1 to 10 evaluating on completion, + quality, and overall performance from the task_description and task_expected_output + to the actual Task Output.\\\",\\n \\\"title\\\": \\\"Quality\\\",\\n \\\"type\\\": + \\\"number\\\"\\n }\\n },\\n \\\"required\\\": [\\n \\\"quality\\\"\\n + \ ],\\n \\\"title\\\": \\\"TaskEvaluationPydanticOutput\\\",\\n \\\"type\\\": + \\\"object\\\",\\n \\\"additionalProperties\\\": false\\n}\\n\\nIMPORTANT: + Preserve the original content exactly as-is. Do NOT rewrite, paraphrase, or + modify the meaning of the content. Only structure it to match the schema format.\\n\\nDo + not include the OpenAPI schema in the final output. Ensure the final output + does not include any code block markers like ```json or ```python.\\n\\nProvide + your complete response:\"}],\"model\":\"gpt-4o-mini\",\"response_format\":{\"type\":\"json_schema\",\"json_schema\":{\"schema\":{\"properties\":{\"quality\":{\"description\":\"A score from 1 to 10 evaluating on completion, quality, and overall performance from the task_description and task_expected_output to the actual Task Output.\",\"title\":\"Quality\",\"type\":\"number\"}},\"required\":[\"quality\"],\"title\":\"TaskEvaluationPydanticOutput\",\"type\":\"object\",\"additionalProperties\":false},\"name\":\"TaskEvaluationPydanticOutput\",\"strict\":true}},\"stream\":false}" headers: @@ -674,7 +694,7 @@ interactions: connection: - keep-alive content-length: - - '7196' + - '7036' content-type: - application/json cookie: @@ -700,31 +720,33 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.12 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-DDFzaYq2i96GKjZisy507Xk2rVvjn\",\n \"object\": - \"chat.completion\",\n \"created\": 1772052110,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-DIjmAmRrx8ONo3OaHaBCNKzOa0Mzs\",\n \"object\": + \"chat.completion\",\n \"created\": 1773358238,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"{\\\"quality\\\":9}\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 1264,\n \"completion_tokens\": 5,\n \"total_tokens\": 1269,\n \"prompt_tokens_details\": + 1214,\n \"completion_tokens\": 5,\n \"total_tokens\": 1219,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_bd4be55b21\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_1d1f595505\"\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db6967da94a10f3-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Wed, 25 Feb 2026 20:41:51 GMT + - Thu, 12 Mar 2026 23:30:39 GMT Server: - cloudflare Strict-Transport-Security: @@ -737,12 +759,10 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '391' + - '374' openai-project: - OPENAI-PROJECT-XXX openai-version: diff --git a/lib/crewai/tests/cassettes/test_delegation_is_not_enabled_if_there_are_only_one_agent.yaml b/lib/crewai/tests/cassettes/test_delegation_is_not_enabled_if_there_are_only_one_agent.yaml index fa775b72b..377bfd8ab 100644 --- a/lib/crewai/tests/cassettes/test_delegation_is_not_enabled_if_there_are_only_one_agent.yaml +++ b/lib/crewai/tests/cassettes/test_delegation_is_not_enabled_if_there_are_only_one_agent.yaml @@ -1,111 +1,115 @@ interactions: - request: - body: '{"messages": [{"role": "system", "content": "You are Researcher. You''re - an expert researcher, specialized in technology, software engineering, AI and - startups. You work as a freelancer and is now working on doing research and - analysis for a new customer.\nYour personal goal is: Make the best research - and analysis on content about AI and AI agents\nTo give my best complete final - answer to the task use the exact following format:\n\nThought: I now can give - a great answer\nFinal Answer: Your final answer must be the great and the most - complete as possible, it must be outcome described.\n\nI MUST use these formats, - my job depends on it!"}, {"role": "user", "content": "\nCurrent Task: Look at - the available data and give me a sense on the total number of sales.\n\nThis - is the expect criteria for your final answer: The total number of sales as an - integer\nyou MUST return the actual complete content as the final answer, not - a summary.\n\nBegin! 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Return the list of ideas with their paragraph and your notes.\n\nThis is the expected criteria for your final answer: 5 bullet points with a paragraph for each idea.\nyou MUST return the actual - complete content as the final answer, not a summary.\n\nThis is VERY important - to you, your job depends on it!"}],"model":"gpt-4o","tool_choice":"auto","tools":[{"type":"function","function":{"name":"Delegate_work_to_coworker","description":"Delegate + complete content as the final answer, not a summary."}],"model":"gpt-4o","tool_choice":"auto","tools":[{"type":"function","function":{"name":"delegate_work_to_coworker","description":"Delegate a specific task to one of the following coworkers: Researcher, Senior Writer\nThe input to this tool should be the coworker, the task you want them to do, and ALL necessary context to execute the task, they know nothing about the task, so share absolutely everything you know, don''t reference things but instead - explain them.","parameters":{"properties":{"task":{"description":"The task to - delegate","title":"Task","type":"string"},"context":{"description":"The context - for the task","title":"Context","type":"string"},"coworker":{"description":"The - role/name of the coworker to delegate to","title":"Coworker","type":"string"}},"required":["task","context","coworker"],"type":"object"}}},{"type":"function","function":{"name":"Ask_question_to_coworker","description":"Ask + explain them.","strict":true,"parameters":{"properties":{"task":{"description":"The + task to delegate","title":"Task","type":"string"},"context":{"description":"The + context for the task","title":"Context","type":"string"},"coworker":{"description":"The + role/name of the coworker to delegate to","title":"Coworker","type":"string"}},"required":["task","context","coworker"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"ask_question_to_coworker","description":"Ask a specific question to one of the following coworkers: Researcher, Senior Writer\nThe input to this tool should be the coworker, the question you have for them, and ALL necessary context to ask the question properly, they know nothing about the question, so share absolutely everything you know, don''t reference things - but instead explain them.","parameters":{"properties":{"question":{"description":"The + but instead explain them.","strict":true,"parameters":{"properties":{"question":{"description":"The question to ask","title":"Question","type":"string"},"context":{"description":"The context for the question","title":"Context","type":"string"},"coworker":{"description":"The - role/name of the coworker to ask","title":"Coworker","type":"string"}},"required":["question","context","coworker"],"type":"object"}}}]}' + role/name of the coworker to ask","title":"Coworker","type":"string"}},"required":["question","context","coworker"],"type":"object","additionalProperties":false}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -42,7 +41,7 @@ interactions: connection: - keep-alive content-length: - - '2698' + - '2726' content-type: - application/json host: @@ -69,48 +68,51 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0uJcpJkqElIoUz9hzkjKlQD8CsIl\",\n \"object\": - \"chat.completion\",\n \"created\": 1769108848,\n \"model\": \"gpt-4o-2024-08-06\",\n + string: "{\n \"id\": \"chatcmpl-DIjv5CTNw0zSZPJG7XNQb1x8KRtjK\",\n \"object\": + \"chat.completion\",\n \"created\": 1773358791,\n \"model\": \"gpt-4o-2024-08-06\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_uMeEcXYXajVwxzAzZj8r5HbL\",\n \"type\": - \"function\",\n \"function\": {\n \"name\": \"Delegate_work_to_coworker\",\n - \ \"arguments\": \"{\\\"task\\\": \\\"Research and brainstorm - a list of 5 interesting ideas for an article.\\\", \\\"context\\\": \\\"The - core task involves identifying unique, engaging topics that would captivate - a diverse readership. These topics should have broad appeal, potentially touch - on current trends or emerging fields, and offer fresh perspectives that would - make for compelling reading.\\\", \\\"coworker\\\": \\\"Researcher\\\"}\"\n - \ }\n },\n {\n \"id\": \"call_Iov6gBdufADYoS4mUzbbgVos\",\n - \ \"type\": \"function\",\n \"function\": {\n \"name\": - \"Delegate_work_to_coworker\",\n \"arguments\": \"{\\\"task\\\": - \\\"Craft one compelling paragraph for each of the 5 ideas given by the Researcher, - highlighting why each topic would make an amazing article.\\\", \\\"context\\\": - \\\"Each paragraph should showcase the potential depth and captivating nature - of the topic, aiming to intrigue the reader and give them a sense of the article's - value. The content should be engaging, informative, and suggest a unique angle - or innovative idea.\\\", \\\"coworker\\\": \\\"Senior Writer\\\"}\"\n }\n - \ }\n ],\n \"refusal\": null,\n \"annotations\": + \ \"id\": \"call_Ol2yxl2EsKWZNmtbij2JTprf\",\n \"type\": + \"function\",\n \"function\": {\n \"name\": \"ask_question_to_coworker\",\n + \ \"arguments\": \"{\\\"question\\\": \\\"What are 5 interesting + and current topics that could make for engaging articles? Consider trends, + recent events, and popular subjects.\\\", \\\"context\\\": \\\"We need to + brainstorm 5 fascinating and relevant topics that could be explored in an + article. These topics should be current, engaging, and have the potential + to generate interest among readers. Once we have the topics, I will ask for + a highlight paragraph for each to showcase their potential.\\\", \\\"coworker\\\": + \\\"Researcher\\\"}\"\n }\n },\n {\n \"id\": + \"call_hOt5vwTOgfIxqHIwDbmZMVTQ\",\n \"type\": \"function\",\n + \ \"function\": {\n \"name\": \"ask_question_to_coworker\",\n + \ \"arguments\": \"{\\\"question\\\": \\\"Once we have a list + of 5 interesting topics, could you write one amazing paragraph highlight for + each idea that showcases how good an article about this topic could be?\\\", + \\\"context\\\": \\\"After brainstorming 5 fascinating and current topics + for potential articles, we want to create a highlight paragraph for each idea. + This paragraph should capture the essence and allure of the topic, demonstrating + why readers would find it intriguing and worth reading. I will provide the + topics once we have them.\\\", \\\"coworker\\\": \\\"Senior Writer\\\"}\"\n + \ }\n }\n ],\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": \"tool_calls\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 489,\n \"completion_tokens\": - 202,\n \"total_tokens\": 691,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 476,\n \"completion_tokens\": + 239,\n \"total_tokens\": 715,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_deacdd5f6f\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_b7c8e3f100\"\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db6a3ff7a77785b-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Thu, 22 Jan 2026 19:07:38 GMT + - Thu, 12 Mar 2026 23:39:55 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -121,18 +123,138 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '10131' + - '3261' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '10160' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Senior Writer. You''re + a senior writer, specialized in technology, software engineering, AI and startups. + You work as a freelancer and are now working on writing content for a new customer.\nYour + personal goal is: Write the best content about AI and AI agents."},{"role":"user","content":"\nCurrent + Task: Once we have a list of 5 interesting topics, could you write one amazing + paragraph highlight for each idea that showcases how good an article about this + topic could be?\n\nThis is the expected criteria for your final answer: Your + best answer to your coworker asking you this, accounting for the context shared.\nyou + MUST return the actual complete content as the final answer, not a summary.\n\nThis + is the context you''re working with:\nAfter brainstorming 5 fascinating and + current topics for potential articles, we want to create a highlight paragraph + for each idea. This paragraph should capture the essence and allure of the topic, + demonstrating why readers would find it intriguing and worth reading. I will + provide the topics once we have them.\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1165' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-DIjv9aboO2bB3Z2fRcoB7VgrMPDrm\",\n \"object\": + \"chat.completion\",\n \"created\": 1773358795,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Absolutely! Once you share the list + of five topics, I\u2019ll craft a compelling highlight paragraph for each. + Each paragraph will vividly convey why the topic is timely and engaging, spotlighting + unique angles and potential insights that will hook readers. Just send over + the topics when ready, and I\u2019ll get started on creating those captivating + previews that showcase the value and excitement behind each article idea.\",\n + \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": + null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 213,\n \"completion_tokens\": 75,\n \"total_tokens\": 288,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_5e793402c9\"\n}\n" + headers: + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db6a415eab741fb-EWR + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Mar 2026 23:39:56 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '1264' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -157,21 +279,17 @@ interactions: expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.\nYour personal goal is: Make the best research and analysis - on content about AI and AI agents\nTo give my best complete final answer to - the task respond using the exact following format:\n\nThought: I now can give - a great answer\nFinal Answer: Your final answer must be the great and the most - complete as possible, it must be outcome described.\n\nI MUST use these formats, - my job depends on it!"},{"role":"user","content":"\nCurrent Task: Research and - brainstorm a list of 5 interesting ideas for an article.\n\nThis is the expected + on content about AI and AI agents"},{"role":"user","content":"\nCurrent Task: + What are 5 interesting and current topics that could make for engaging articles? + Consider trends, recent events, and popular subjects.\n\nThis is the expected criteria for your final answer: Your best answer to your coworker asking you this, accounting for the context shared.\nyou MUST return the actual complete content as the final answer, not a summary.\n\nThis is the context you''re working - with:\nThe core task involves identifying unique, engaging topics that would - captivate a diverse readership. These topics should have broad appeal, potentially - touch on current trends or emerging fields, and offer fresh perspectives that - would make for compelling reading.\n\nBegin! This is VERY important to you, - use the tools available and give your best Final Answer, your job depends on - it!\n\nThought:"}],"model":"gpt-4.1-mini"}' + with:\nWe need to brainstorm 5 fascinating and relevant topics that could be + explored in an article. These topics should be current, engaging, and have the + potential to generate interest among readers. Once we have the topics, I will + ask for a highlight paragraph for each to showcase their potential.\n\nProvide + your complete response:"}],"model":"gpt-4.1-mini"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -184,7 +302,7 @@ interactions: connection: - keep-alive content-length: - - '1455' + - '1148' content-type: - application/json host: @@ -211,244 +329,56 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0uJmyZppJWjrCgVhYMe4BQ0sLFPp\",\n \"object\": - \"chat.completion\",\n \"created\": 1769108858,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-DIjv97s0rOaFgzBEMAQopTjIn9luN\",\n \"object\": + \"chat.completion\",\n \"created\": 1773358795,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Thought: I now can give a great answer\\n\\nFinal - Answer:\\n\\n1. **The Rise of Autonomous AI Agents: How Intelligent Bots are - Reshaping Daily Life and Work** \\n This article explores the growing impact - of autonomous AI agents\u2014software entities that can perform complex tasks - independently. It will cover their applications across industries such as - customer service, healthcare, finance, and creative fields. The article will - delve into how these agents improve efficiency, personalize user experiences, - and the ethical considerations around autonomy and accountability.\\n\\n2. - **From Chatbots to AI Companions: The Evolution of Human-AI Interaction** - \ \\n This topic examines the journey from simple rule-based chatbots to - sophisticated AI companions capable of understanding emotions, providing companionship, - and assisting with mental health. 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The article will delve into how these - agents improve efficiency, personalize user experiences, and the ethical considerations - around autonomy and accountability.\\n\\n2. **From Chatbots to AI Companions: - The Evolution of Human-AI Interaction** \\n This topic examines the journey - from simple rule-based chatbots to sophisticated AI companions capable of understanding - emotions, providing companionship, and assisting with mental health. It will - discuss the underlying technologies like natural language processing and affective - computing, societal impacts, and the future potential of AI as social and emotional - partners.\\n\\n3. **Democratizing AI: How Open-Source Tools and Platforms are - Empowering Startups and Innovators** \\n This article focuses on the explosion - of accessible AI tools, frameworks, and datasets that enable small startups - and individual developers to build advanced AI applications without massive - resources. 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Deliver only the answer without meta-commentary.\"}],\"model\":\"gpt-4o\",\"tool_choice\":\"auto\",\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"Delegate_work_to_coworker\",\"description\":\"Delegate - a specific task to one of the following coworkers: Researcher, Senior Writer\\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to execute the task, they know nothing about the task, - so share absolutely everything you know, don't reference things but instead - explain them.\",\"parameters\":{\"properties\":{\"task\":{\"description\":\"The - task to delegate\",\"title\":\"Task\",\"type\":\"string\"},\"context\":{\"description\":\"The - context for the task\",\"title\":\"Context\",\"type\":\"string\"},\"coworker\":{\"description\":\"The - role/name of the coworker to delegate to\",\"title\":\"Coworker\",\"type\":\"string\"}},\"required\":[\"task\",\"context\",\"coworker\"],\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"Ask_question_to_coworker\",\"description\":\"Ask - a specific question to one of the following coworkers: Researcher, Senior Writer\\nThe - input to this tool should be the coworker, the question you have for them, and - ALL necessary context to ask the question properly, they know nothing about - the question, so share absolutely everything you know, don't reference things - but instead explain them.\",\"parameters\":{\"properties\":{\"question\":{\"description\":\"The - question to ask\",\"title\":\"Question\",\"type\":\"string\"},\"context\":{\"description\":\"The - context for the question\",\"title\":\"Context\",\"type\":\"string\"},\"coworker\":{\"description\":\"The - role/name of the coworker to ask\",\"title\":\"Coworker\",\"type\":\"string\"}},\"required\":[\"question\",\"context\",\"coworker\"],\"type\":\"object\"}}}]}" - headers: - User-Agent: - - X-USER-AGENT-XXX - accept: - - application/json - accept-encoding: - - ACCEPT-ENCODING-XXX - authorization: - - AUTHORIZATION-XXX - connection: - - keep-alive - content-length: - - '5996' - content-type: - - application/json - cookie: - - COOKIE-XXX - host: - - api.openai.com - x-stainless-arch: - - X-STAINLESS-ARCH-XXX - x-stainless-async: - - 'false' - x-stainless-lang: - - python - x-stainless-os: - - X-STAINLESS-OS-XXX - x-stainless-package-version: - - 1.83.0 - x-stainless-read-timeout: - - X-STAINLESS-READ-TIMEOUT-XXX - x-stainless-retry-count: - - '0' - x-stainless-runtime: - - CPython - x-stainless-runtime-version: - - 3.13.3 - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: "{\n \"id\": \"chatcmpl-D0uJtu5VHhxN9xEeR8hZE1iSDgbFC\",\n \"object\": - \"chat.completion\",\n \"created\": 1769108865,\n \"model\": \"gpt-4o-2024-08-06\",\n - \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_oupwdGFJnFLzJEBUO8u5rH94\",\n \"type\": - \"function\",\n \"function\": {\n \"name\": \"Delegate_work_to_coworker\",\n - \ \"arguments\": \"{\\\"task\\\":\\\"Write one amazing paragraph - highlight for each of the 5 interesting ideas captured during research. 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These highlights should intrigue the reader, offering - a glimpse into the unique angles, insights, and discoveries the full article - would present.\\\",\\\"coworker\\\":\\\"Senior Writer\\\"}\"\n }\n - \ }\n ],\n \"refusal\": null,\n \"annotations\": - []\n },\n \"logprobs\": null,\n \"finish_reason\": \"tool_calls\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 1050,\n \"completion_tokens\": - 108,\n \"total_tokens\": 1158,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + \"assistant\",\n \"content\": \"Here are five engaging and current + topics related to AI and AI agents that could make compelling articles:\\n\\n1. + The Rise of Autonomous AI Agents in Everyday Applications \\nExplore how + autonomous AI agents, capable of making decisions and performing tasks independently, + are increasingly integrated into daily life\u2014from virtual assistants evolving + to manage entire workflows to AI in smart homes taking proactive roles. This + article could delve into the technology driving autonomy, challenges in trust + and safety, and the impact on productivity and lifestyle.\\n\\n2. Ethical + AI Agent Design: Balancing Innovation with Responsibility \\nA timely discussion + on the ethical considerations in designing AI agents, especially as they become + more autonomous and capable of influencing human decisions. The article can + cover current frameworks, real-world dilemmas, bias mitigation strategies, + and how developers and companies are navigating regulatory pressures.\\n\\n3. + AI Agents in Creative Industries: Collaboration or Competition? \\nInvestigate + how AI agents are transforming creative fields such as art, music, writing, + and design. Focus on examples of AI-human collaboration, tools that empower + creators, and the evolving debate over creativity, originality, and intellectual + property in the age of AI.\\n\\n4. Advances in Language Models Fuelling Smarter + AI Agents \\nAnalyze the latest breakthroughs in large language models (LLMs) + and how these advancements are enhancing AI agents' conversational abilities, + reasoning, and task automation. Highlight how innovations like multimodal + inputs and fine-tuning techniques are pushing the boundaries of what AI agents + can achieve.\\n\\n5. The Future of Work: AI Agents as Colleagues, Not Just + Tools \\nExamine how AI agents are reshaping workplaces by becoming collaborative + colleagues that handle complex tasks and decision-making instead of simple + automation tools. Discuss case studies, potential impacts on job roles, workforce + dynamics, and how organizations can prepare for this paradigm shift.\\n\\nLet + me know if you want me to prepare highlight paragraphs for any or all of these + topics.\",\n \"refusal\": null,\n \"annotations\": []\n },\n + \ \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n + \ \"usage\": {\n \"prompt_tokens\": 210,\n \"completion_tokens\": 373,\n + \ \"total_tokens\": 583,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_deacdd5f6f\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_5e793402c9\"\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db6a415eb32e5e2-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Thu, 22 Jan 2026 19:07:50 GMT + - Thu, 12 Mar 2026 23:40:00 GMT Server: - cloudflare Strict-Transport-Security: @@ -461,186 +391,16 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '4760' + - '4956' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '4782' - x-openai-proxy-wasm: - - v0.1 - x-ratelimit-limit-requests: - - X-RATELIMIT-LIMIT-REQUESTS-XXX - x-ratelimit-limit-tokens: - - X-RATELIMIT-LIMIT-TOKENS-XXX - x-ratelimit-remaining-requests: - - X-RATELIMIT-REMAINING-REQUESTS-XXX - x-ratelimit-remaining-tokens: - - X-RATELIMIT-REMAINING-TOKENS-XXX - x-ratelimit-reset-requests: - - X-RATELIMIT-RESET-REQUESTS-XXX - x-ratelimit-reset-tokens: - - X-RATELIMIT-RESET-TOKENS-XXX - x-request-id: - - X-REQUEST-ID-XXX - status: - code: 200 - message: OK -- request: - body: '{"messages":[{"role":"system","content":"You are Senior Writer. 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The piece could explore real-world applications across - industries such as healthcare, finance, and autonomous vehicles, illustrating - how these agents are transforming workflows and augmenting human capabilities. - In-depth analysis would cover technical breakthroughs driving this shift, - ethical considerations, and the future landscape where AI agents operate independently, - raising profound questions about control, trust, and responsibility.\\n\\n2. - AI Agents in Personalized Education: This article would uncover the transformative - power of AI agents tailored to personalize learning experiences at scale. - It could highlight pioneering examples of virtual tutors and adaptive learning - platforms that dynamically adjust content, pacing, and feedback based on individual - student needs and behavior. The narrative would weave research insights on - cognitive science with practical case studies demonstrating improved engagement - and outcomes. Readers would gain a vivid understanding of how AI agents can - democratize education, tackle learning gaps, and reshape the educator\u2019s - role from content delivery to empathetic mentorship.\\n\\n3. The Ethical Frontier - of AI Agent Decision-Making: An article on this theme would journey deep into - the challenging ethical terrain AI agents inhabit when granted autonomy. It - would tackle pressing questions around bias, transparency, accountability, - and the moral frameworks necessary for machines making complex judgments. - Rich storytelling could include interviews with ethicists, AI developers, - and affected users, revealing the tensions between innovation and regulation. - The piece would compel readers to consider what values should be encoded into - AI agents and how society can ensure these powerful tools serve humanity\u2019s - highest good.\\n\\n4. 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The article will delve into how these - agents improve efficiency, personalize user experiences, and the ethical considerations - around autonomy and accountability.\\n\\n2. **From Chatbots to AI Companions: - The Evolution of Human-AI Interaction** \\n This topic examines the journey - from simple rule-based chatbots to sophisticated AI companions capable of understanding - emotions, providing companionship, and assisting with mental health. It will - discuss the underlying technologies like natural language processing and affective - computing, societal impacts, and the future potential of AI as social and emotional - partners.\\n\\n3. **Democratizing AI: How Open-Source Tools and Platforms are - Empowering Startups and Innovators** \\n This article focuses on the explosion - of accessible AI tools, frameworks, and datasets that enable small startups - and individual developers to build advanced AI applications without massive - resources. It highlights success stories, emerging platforms, community-driven - innovation, and how this democratization accelerates AI adoption and creativity.\\n\\n4. - **Ethical AI Agents: Balancing Innovation with Responsibility in a World of - Intelligent Machines** \\n This piece will analyze the challenges and solutions - related to developing ethical AI agents. Topics include bias mitigation, transparency, - accountability, privacy, and regulatory landscapes. It will also explore frameworks - and best practices companies are adopting to ensure responsible AI deployment.\\n\\n5. - **The Future of Work: Collaborative AI Agents as Co-Workers and Problem Solvers** - \ \\n This article envisions how AI agents are becoming collaborators rather - than mere tools. It will discuss hybrid human-AI teams, AI\u2019s role in augmenting - creativity, decision-making, and problem-solving, and how workplace dynamics - and skills requirements may shift with the integration of intelligent agents.\\n\\nThese - ideas blend current trends and emerging fields with fresh perspectives aimed - at capturing wide interest from tech enthusiasts, professionals, and general - audiences interested in AI\u2019s transformative potential.\"},{\"role\":\"user\",\"content\":\"Analyze - the tool result. If requirements are met, provide the Final Answer. Otherwise, - call the next tool. Deliver only the answer without meta-commentary.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_oupwdGFJnFLzJEBUO8u5rH94\",\"type\":\"function\",\"function\":{\"name\":\"Delegate_work_to_coworker\",\"arguments\":\"{\\\"task\\\":\\\"Write - one amazing paragraph highlight for each of the 5 interesting ideas captured - during research. Ensure each paragraph showcases the potential depth and engagement - of an article about that topic.\\\",\\\"context\\\":\\\"The task involves creating - compelling, insightful paragraphs that paint a vivid picture of how an article - on each topic might unfold. These highlights should intrigue the reader, offering - a glimpse into the unique angles, insights, and discoveries the full article - would present.\\\",\\\"coworker\\\":\\\"Senior Writer\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_oupwdGFJnFLzJEBUO8u5rH94\",\"content\":\"1. - The Rise of Autonomous AI Agents: Imagine an article that delves into the dynamic - evolution of AI agents from simple programmed bots to sophisticated autonomous - entities capable of decision-making, learning, and even collaboration. The piece - could explore real-world applications across industries such as healthcare, - finance, and autonomous vehicles, illustrating how these agents are transforming - workflows and augmenting human capabilities. In-depth analysis would cover technical - breakthroughs driving this shift, ethical considerations, and the future landscape - where AI agents operate independently, raising profound questions about control, - trust, and responsibility.\\n\\n2. AI Agents in Personalized Education: This - article would uncover the transformative power of AI agents tailored to personalize - learning experiences at scale. It could highlight pioneering examples of virtual - tutors and adaptive learning platforms that dynamically adjust content, pacing, - and feedback based on individual student needs and behavior. The narrative would - weave research insights on cognitive science with practical case studies demonstrating - improved engagement and outcomes. Readers would gain a vivid understanding of - how AI agents can democratize education, tackle learning gaps, and reshape the - educator\u2019s role from content delivery to empathetic mentorship.\\n\\n3. - The Ethical Frontier of AI Agent Decision-Making: An article on this theme would - journey deep into the challenging ethical terrain AI agents inhabit when granted - autonomy. It would tackle pressing questions around bias, transparency, accountability, - and the moral frameworks necessary for machines making complex judgments. Rich - storytelling could include interviews with ethicists, AI developers, and affected - users, revealing the tensions between innovation and regulation. The piece would - compel readers to consider what values should be encoded into AI agents and - how society can ensure these powerful tools serve humanity\u2019s highest good.\\n\\n4. - Collaborative AI Agents in Creative Industries: This spotlight article would - explore the burgeoning role of AI agents as creative collaborators rather than - mere tools. Showcasing examples from music composition, digital art, writing, - and game design, it would highlight how AI agents inspire, augment, and sometimes - rival human creativity in unprecedented ways. The article would investigate - how this synergy reshapes creative workflows, sparks new forms of artistic expression, - and challenges traditional notions of authorship. Insights from leading artists - and technologists would provide a compelling vision of a future where human - and AI creativity coalesce dynamically.\\n\\n5. AI Agents and the Future of - Work: Shaping Human-Machine Partnerships: Here, the article would focus on how - AI agents are redefining the modern workplace by automating routine tasks and - enabling humans to focus on higher-level strategic and creative work. It would - analyze emerging trends such as AI-driven virtual assistants, intelligent workflow - automation, and real-time data-driven decision support. The discussion would - extend to workforce transformation, required reskilling, and the socio-economic - implications of AI integration. This narrative would equip readers with a nuanced - understanding of how AI agents are not replacements but partners, heralding - a new paradigm in human-machine collaboration.\"},{\"role\":\"user\",\"content\":\"Analyze - the tool result. If requirements are met, provide the Final Answer. Otherwise, - call the next tool. Deliver only the answer without meta-commentary.\"}],\"model\":\"gpt-4o\",\"tool_choice\":\"auto\",\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"Delegate_work_to_coworker\",\"description\":\"Delegate + actual complete content as the final answer, not a summary.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_Ol2yxl2EsKWZNmtbij2JTprf\",\"type\":\"function\",\"function\":{\"name\":\"ask_question_to_coworker\",\"arguments\":\"{\\\"question\\\": + \\\"What are 5 interesting and current topics that could make for engaging articles? + Consider trends, recent events, and popular subjects.\\\", \\\"context\\\": + \\\"We need to brainstorm 5 fascinating and relevant topics that could be explored + in an article. These topics should be current, engaging, and have the potential + to generate interest among readers. Once we have the topics, I will ask for + a highlight paragraph for each to showcase their potential.\\\", \\\"coworker\\\": + \\\"Researcher\\\"}\"}},{\"id\":\"call_hOt5vwTOgfIxqHIwDbmZMVTQ\",\"type\":\"function\",\"function\":{\"name\":\"ask_question_to_coworker\",\"arguments\":\"{\\\"question\\\": + \\\"Once we have a list of 5 interesting topics, could you write one amazing + paragraph highlight for each idea that showcases how good an article about this + topic could be?\\\", \\\"context\\\": \\\"After brainstorming 5 fascinating + and current topics for potential articles, we want to create a highlight paragraph + for each idea. This paragraph should capture the essence and allure of the topic, + demonstrating why readers would find it intriguing and worth reading. I will + provide the topics once we have them.\\\", \\\"coworker\\\": \\\"Senior Writer\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_Ol2yxl2EsKWZNmtbij2JTprf\",\"name\":\"ask_question_to_coworker\",\"content\":\"Here + are five engaging and current topics related to AI and AI agents that could + make compelling articles:\\n\\n1. The Rise of Autonomous AI Agents in Everyday + Applications \\nExplore how autonomous AI agents, capable of making decisions + and performing tasks independently, are increasingly integrated into daily life\u2014from + virtual assistants evolving to manage entire workflows to AI in smart homes + taking proactive roles. This article could delve into the technology driving + autonomy, challenges in trust and safety, and the impact on productivity and + lifestyle.\\n\\n2. Ethical AI Agent Design: Balancing Innovation with Responsibility + \ \\nA timely discussion on the ethical considerations in designing AI agents, + especially as they become more autonomous and capable of influencing human decisions. + The article can cover current frameworks, real-world dilemmas, bias mitigation + strategies, and how developers and companies are navigating regulatory pressures.\\n\\n3. + AI Agents in Creative Industries: Collaboration or Competition? \\nInvestigate + how AI agents are transforming creative fields such as art, music, writing, + and design. Focus on examples of AI-human collaboration, tools that empower + creators, and the evolving debate over creativity, originality, and intellectual + property in the age of AI.\\n\\n4. Advances in Language Models Fuelling Smarter + AI Agents \\nAnalyze the latest breakthroughs in large language models (LLMs) + and how these advancements are enhancing AI agents' conversational abilities, + reasoning, and task automation. Highlight how innovations like multimodal inputs + and fine-tuning techniques are pushing the boundaries of what AI agents can + achieve.\\n\\n5. The Future of Work: AI Agents as Colleagues, Not Just Tools + \ \\nExamine how AI agents are reshaping workplaces by becoming collaborative + colleagues that handle complex tasks and decision-making instead of simple automation + tools. Discuss case studies, potential impacts on job roles, workforce dynamics, + and how organizations can prepare for this paradigm shift.\\n\\nLet me know + if you want me to prepare highlight paragraphs for any or all of these topics.\"},{\"role\":\"tool\",\"tool_call_id\":\"call_hOt5vwTOgfIxqHIwDbmZMVTQ\",\"name\":\"ask_question_to_coworker\",\"content\":\"Absolutely! + Once you share the list of five topics, I\u2019ll craft a compelling highlight + paragraph for each. Each paragraph will vividly convey why the topic is timely + and engaging, spotlighting unique angles and potential insights that will hook + readers. Just send over the topics when ready, and I\u2019ll get started on + creating those captivating previews that showcase the value and excitement behind + each article idea.\"},{\"role\":\"user\",\"content\":\"Analyze the tool result. + If requirements are met, provide the Final Answer. Otherwise, call the next + tool. Deliver only the answer without meta-commentary.\"}],\"model\":\"gpt-4o\",\"tool_choice\":\"auto\",\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"delegate_work_to_coworker\",\"description\":\"Delegate a specific task to one of the following coworkers: Researcher, Senior Writer\\nThe input to this tool should be the coworker, the task you want them to do, and ALL necessary context to execute the task, they know nothing about the task, so share absolutely everything you know, don't reference things but instead - explain them.\",\"parameters\":{\"properties\":{\"task\":{\"description\":\"The + explain them.\",\"strict\":true,\"parameters\":{\"properties\":{\"task\":{\"description\":\"The task to delegate\",\"title\":\"Task\",\"type\":\"string\"},\"context\":{\"description\":\"The context for the task\",\"title\":\"Context\",\"type\":\"string\"},\"coworker\":{\"description\":\"The - role/name of the coworker to delegate to\",\"title\":\"Coworker\",\"type\":\"string\"}},\"required\":[\"task\",\"context\",\"coworker\"],\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"Ask_question_to_coworker\",\"description\":\"Ask + role/name of the coworker to delegate to\",\"title\":\"Coworker\",\"type\":\"string\"}},\"required\":[\"task\",\"context\",\"coworker\"],\"type\":\"object\",\"additionalProperties\":false}}},{\"type\":\"function\",\"function\":{\"name\":\"ask_question_to_coworker\",\"description\":\"Ask a specific question to one of the following coworkers: Researcher, Senior Writer\\nThe input to this tool should be the coworker, the question you have for them, and ALL necessary context to ask the question properly, they know nothing about the question, so share absolutely everything you know, don't reference things - but instead explain them.\",\"parameters\":{\"properties\":{\"question\":{\"description\":\"The + but instead explain them.\",\"strict\":true,\"parameters\":{\"properties\":{\"question\":{\"description\":\"The question to ask\",\"title\":\"Question\",\"type\":\"string\"},\"context\":{\"description\":\"The context for the question\",\"title\":\"Context\",\"type\":\"string\"},\"coworker\":{\"description\":\"The - role/name of the coworker to ask\",\"title\":\"Coworker\",\"type\":\"string\"}},\"required\":[\"question\",\"context\",\"coworker\"],\"type\":\"object\"}}}]}" + role/name of the coworker to ask\",\"title\":\"Coworker\",\"type\":\"string\"}},\"required\":[\"question\",\"context\",\"coworker\"],\"type\":\"object\",\"additionalProperties\":false}}}]}" headers: User-Agent: - X-USER-AGENT-XXX @@ -793,7 +511,7 @@ interactions: connection: - keep-alive content-length: - - '10375' + - '7027' content-type: - application/json cookie: @@ -822,73 +540,43 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0uK72TnCKUC4mQlitLd8pCBxqJHl\",\n \"object\": - \"chat.completion\",\n \"created\": 1769108879,\n \"model\": \"gpt-4o-2024-08-06\",\n + string: "{\n \"id\": \"chatcmpl-DIjvENcukqHXe8DxyBt4MVQCpGxzS\",\n \"object\": + \"chat.completion\",\n \"created\": 1773358800,\n \"model\": \"gpt-4o-2024-08-06\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"1. **The Rise of Autonomous AI Agents: - How Intelligent Bots are Reshaping Daily Life and Work** \\n Imagine an - article that delves into the dynamic evolution of AI agents from simple programmed - bots to sophisticated autonomous entities capable of decision-making, learning, - and even collaboration. The piece could explore real-world applications across - industries such as healthcare, finance, and autonomous vehicles, illustrating - how these agents are transforming workflows and augmenting human capabilities. - In-depth analysis would cover technical breakthroughs driving this shift, - ethical considerations, and the future landscape where AI agents operate independently, - raising profound questions about control, trust, and responsibility.\\n\\n2. - **From Chatbots to AI Companions: The Evolution of Human-AI Interaction** - \ \\n This article would uncover the transformative power of AI agents tailored - to personalize learning experiences at scale. It could highlight pioneering - examples of virtual tutors and adaptive learning platforms that dynamically - adjust content, pacing, and feedback based on individual student needs and - behavior. 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Now, we need to write + an amazing paragraph for each idea. These paragraphs should emphasize the + intrigue and opportunities presented by each topic, capturing the reader's + attention and demonstrating why an article on the subject would be interesting + and engaging. 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You work as a freelancer and are now working on writing content + for a new customer.\\nYour personal goal is: Write the best content about AI + and AI agents.\"},{\"role\":\"user\",\"content\":\"\\nCurrent Task: Once we + have a list of 5 interesting topics, could you write one amazing paragraph highlight + for each idea that showcases how good an article about this topic could be?\\n\\nThis + is the expected criteria for your final answer: Your best answer to your coworker + asking you this, accounting for the context shared.\\nyou MUST return the actual + complete content as the final answer, not a summary.\\n\\nThis is the context + you're working with:\\nAfter brainstorming 5 fascinating and current topics + for potential articles, we want to create a highlight paragraph for each idea. + This paragraph should capture the essence and allure of the topic, demonstrating + why readers would find it intriguing and worth reading. I will provide the topics + once we have them.\\n\\nProvide your complete response:\"},{\"role\":\"assistant\",\"content\":\"Absolutely! + Once you share the list of five topics, I\u2019ll craft a compelling highlight + paragraph for each. Each paragraph will vividly convey why the topic is timely + and engaging, spotlighting unique angles and potential insights that will hook + readers. Just send over the topics when ready, and I\u2019ll get started on + creating those captivating previews that showcase the value and excitement behind + each article idea.\"},{\"role\":\"system\",\"content\":\"You are Senior Writer. + You're a senior writer, specialized in technology, software engineering, AI + and startups. You work as a freelancer and are now working on writing content + for a new customer.\\nYour personal goal is: Write the best content about AI + and AI agents.\"},{\"role\":\"user\",\"content\":\"\\nCurrent Task: Create a + compelling paragraph highlight for each of the 5 topics: 1) The Rise of Autonomous + AI Agents in Everyday Applications, 2) Ethical AI Agent Design: Balancing Innovation + with Responsibility, 3) AI Agents in Creative Industries: Collaboration or Competition?, + 4) Advances in Language Models Fuelling Smarter AI Agents, 5) The Future of + Work: AI Agents as Colleagues, Not Just Tools.\\n\\nThis is the expected criteria + for your final answer: Your best answer to your coworker asking you this, accounting + for the context shared.\\nyou MUST return the actual complete content as the + final answer, not a summary.\\n\\nThis is the context you're working with:\\nWe + have a list of 5 topics as potential ideas for articles. 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This article will delve into how these + self-governing agents harness advanced algorithms and real-time data to operate + independently, making decisions without human intervention. By exploring current + implementations and future possibilities, readers will gain insight into how + autonomous AI is seamlessly integrating into routine tasks, driving efficiency + and personalization like never before\u2014heralding a future where intelligent + agents become indispensable partners in everyday life.\\n\\n2) Ethical AI + Agent Design: Balancing Innovation with Responsibility \\nAs AI agents grow + more powerful and ubiquitous, the imperative to design them with ethical considerations + is more critical than ever. This article will investigate the delicate balancing + act developers face: pushing the boundaries of innovation while embedding + fairness, transparency, and accountability into AI behavior. It will explore + best practices for mitigating bias, safeguarding privacy, and ensuring AI + agents act in ways aligned with human values. By highlighting real-world dilemmas + and frameworks guiding responsible AI design, this piece will engage readers + fascinated by the intersection of cutting-edge technology and moral philosophy, + showing why ethics must be front and center as AI agents proliferate.\\n\\n3) + AI Agents in Creative Industries: Collaboration or Competition? \\nArtificial + intelligence is rapidly penetrating creative fields\u2014music, writing, visual + arts\u2014prompting a provocative debate about whether AI agents serve as + collaborators enhancing human creativity or as competitors threatening creative + jobs. This article will examine the evolving relationship between human artists + and AI tools, spotlighting groundbreaking projects where AI agents co-create + original works and questioning the shifting boundaries of authorship and inspiration. + By unpacking how AI challenges traditional creative processes while unlocking + new artistic possibilities, the piece promises to captivate readers intrigued + by technology\u2019s impact on culture and the future of creative professions.\\n\\n4) + Advances in Language Models Fuelling Smarter AI Agents \\nRecent breakthroughs + in language model architectures have empowered AI agents with unprecedented + understanding and generation capabilities, propelling them from simple command + executors to sophisticated conversational partners and problem solvers. This + article will explore how innovations like transformer models and fine-tuning + techniques elevate AI agents\u2019 contextual awareness, reasoning, and multi-turn + dialogue fluency. Readers will discover how these language advances enable + smarter, more adaptable agents across industries\u2014from customer service + bots to research assistants\u2014demonstrating the technological leaps that + are shaping the next generation of intelligent AI systems.\\n\\n5) The Future + of Work: AI Agents as Colleagues, Not Just Tools \\nThe integration of AI + agents into workplaces is shifting the paradigm from mere automation toward + genuine collaboration between humans and machines. This article will explore + how AI agents are evolving from passive tools into proactive colleagues that + augment human skills, make autonomous decisions, and even participate in team + dynamics. By highlighting case studies from diverse sectors, the piece will + unpack how this partnership reshapes roles, enhances productivity, and raises + new questions about workplace culture and ethics. 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\\n \\n + \ \\\"Open\\n \\n

\\n

\\n \\n \\\"crewAIInc%2FcrewAI\\n \\n

\\n\\n

\\n + \ Homepage\\n \xB7\\n Docs\\n + \ \xB7\\n Start Cloud Trial\\n + \ \xB7\\n Blog\\n \xB7\\n Forum\\n

\\n\\n

\\n + \ \\n \\\"GitHub\\n \\n \\n + \ \\\"GitHub\\n \\n \\n + \ \\\"GitHub\\n \\n \\n + \ \\\"GitHub\\n \\n \\n + \ \\\"License:\\n \\n

\\n\\n

\\n \\n + \ \\\"PyPI\\n + \ \\n \\n \\\"PyPI\\n \\n \\n + \ \\\"Twitter\\n \\n

\\n\\n### Fast and Flexible Multi-Agent + Automation Framework\\n\\n> CrewAI is a lean, lightning-fast Python framework + built entirely from scratch\u2014completely **independent of LangChain or + other agent frameworks**.\\n> It empowers developers with both high-level + simplicity and precise low-level control, ideal for creating autonomous AI + agents tailored to any scenario.\\n\\n- **CrewAI Crews**: Optimize for autonomy + and collaborative intelligence.\\n- **CrewAI Flows**: Enable granular, event-driven + control, single LLM calls for precise task orchestration and supports Crews + natively\\n\\nWith over 100,000 developers certified through our community + courses at [learn.crewai.com](https://learn.crewai.com), CrewAI is rapidly + becoming the\\nstandard for enterprise-ready AI automation.\\n\\n# CrewAI + AMP Suite\\n\\nCrewAI AMP Suite is a comprehensive bundle tailored for organizations + that require secure, scalable, and easy-to-manage agent-driven automation.\\n\\nYou + can try one part of the suite the [Crew Control Plane for free](https://app.crewai.com)\\n\\n## + Crew Control Plane Key Features:\\n\\n- **Tracing & Observability**: Monitor + and track your AI agents and workflows in real-time, including metrics, logs, + and traces.\\n- **Unified Control Plane**: A centralized platform for managing, + monitoring, and scaling your AI agents and workflows.\\n- **Seamless Integrations**: + Easily connect with existing enterprise systems, data sources, and cloud infrastructure.\\n- + **Advanced Security**: Built-in robust security and compliance measures ensuring + safe deployment and management.\\n- **Actionable Insights**: Real-time analytics + and reporting to optimize performance and decision-making.\\n- **24/7 Support**: + Dedicated enterprise support to ensure uninterrupted operation and quick resolution + of issues.\\n- **On-premise and Cloud Deployment Options**: Deploy CrewAI + AMP on-premise or in the cloud, depending on your security and compliance + requirements.\\n\\nCrewAI AMP is designed for enterprises seeking a powerful, + reliable solution to transform complex business processes into efficient,\\nintelligent + automations.\\n\\n## Table of contents\\n\\n- [Why CrewAI?](#why-crewai)\\n- + [Getting Started](#getting-started)\\n- [Key Features](#key-features)\\n- + [Understanding Flows and Crews](#understanding-flows-and-crews)\\n- [CrewAI + vs LangGraph](#how-crewai-compares)\\n- [Examples](#examples)\\n - [Quick + Tutorial](#quick-tutorial)\\n - [Write Job Descriptions](#write-job-descriptions)\\n + \ - [Trip Planner](#trip-planner)\\n - [Stock Analysis](#stock-analysis)\\n + \ - [Using Crews and Flows Together](#using-crews-and-flows-together)\\n- + [Connecting Your Crew to a Model](#connecting-your-crew-to-a-model)\\n- [How + CrewAI Compares](#how-crewai-compares)\\n- [Frequently Asked Questions (FAQ)](#frequently-asked-questions-faq)\\n- + [Contribution](#contribution)\\n- [Telemetry](#telemetry)\\n- [License](#license)\\n\\n## + Why CrewAI?\\n\\n
\\n + \ \\\"CrewAI\\n
\\n\\nCrewAI + unlocks the true potential of multi-agent automation, delivering the best-in-class + combination of speed, flexibility, and control with either Crews of AI Agents + or Flows of Events:\\n\\n- **Standalone Framework**: Built from scratch, independent + of LangChain or any other agent framework.\\n- **High Performance**: Optimized + for speed and minimal resource usage, enabling faster execution.\\n- **Flexible + Low Level Customization**: Complete freedom to customize at both high and + low levels - from overall workflows and system architecture to granular agent + behaviors, internal prompts, and execution logic.\\n- **Ideal for Every Use + Case**: Proven effective for both simple tasks and highly complex, real-world, + enterprise-grade scenarios.\\n- **Robust Community**: Backed by a rapidly + growing community of over **100,000 certified** developers offering comprehensive + support and resources.\\n\\nCrewAI empowers developers and enterprises to + confidently build intelligent automations, bridging the gap between simplicity, + flexibility, and performance.\\n\\n## Getting Started\\n\\nSetup and run your + first CrewAI agents by following this tutorial.\\n\\n[![CrewAI Getting Started + Tutorial](https://img.youtube.com/vi/-kSOTtYzgEw/hqdefault.jpg)](https://www.youtube.com/watch?v=-kSOTtYzgEw + \\\"CrewAI Getting Started Tutorial\\\")\\n\\n###\\n\\nLearning Resources\\n\\nLearn + CrewAI through our comprehensive courses:\\n\\n- [Multi AI Agent Systems with + CrewAI](https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/) + - Master the fundamentals of multi-agent systems\\n- [Practical Multi AI Agents + and Advanced Use Cases](https://www.deeplearning.ai/short-courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai/) + - Deep dive into advanced implementations\\n\\n### Understanding Flows and + Crews\\n\\nCrewAI offers two powerful, complementary approaches that work + seamlessly together to build sophisticated AI applications:\\n\\n1. **Crews**: + Teams of AI agents with true autonomy and agency, working together to accomplish + complex tasks through role-based collaboration. Crews enable:\\n\\n - Natural, + autonomous decision-making between agents\\n - Dynamic task delegation and + collaboration\\n - Specialized roles with defined goals and expertise\\n + \ - Flexible problem-solving approaches\\n\\n2. **Flows**: Production-ready, + event-driven workflows that deliver precise control over complex automations. + Flows provide:\\n\\n - Fine-grained control over execution paths for real-world + scenarios\\n - Secure, consistent state management between tasks\\n - + Clean integration of AI agents with production Python code\\n - Conditional + branching for complex business logic\\n\\nThe true power of CrewAI emerges + when combining Crews and Flows. This synergy allows you to:\\n\\n- Build complex, + production-grade applications\\n- Balance autonomy with precise control\\n- + Handle sophisticated real-world scenarios\\n- Maintain clean, maintainable + code structure\\n\\n### Getting Started with Installation\\n\\nTo get started + with CrewAI, follow these simple steps:\\n\\n### 1. Installation\\n\\nEnsure + you have Python >=3.10 <3.14 installed on your system. CrewAI uses [UV](https://docs.astral.sh/uv/) + for dependency management and package handling, offering a seamless setup + and execution experience.\\n\\nFirst, install CrewAI:\\n\\n```shell\\npip + install crewai\\n```\\n\\nIf you want to install the 'crewai' package along + with its optional features that include additional tools for agents, you can + do so by using the following command:\\n\\n```shell\\npip install 'crewai[tools]'\\n```\\n\\nThe + command above installs the basic package and also adds extra components which + require more dependencies to function.\\n\\n### Troubleshooting Dependencies\\n\\nIf + you encounter issues during installation or usage, here are some common solutions:\\n\\n#### + Common Issues\\n\\n1. **ModuleNotFoundError: No module named 'tiktoken'**\\n\\n + \ - Install tiktoken explicitly: `pip install 'crewai[embeddings]'`\\n - + If using embedchain or other tools: `pip install 'crewai[tools]'`\\n\\n2. + **Failed building wheel for tiktoken**\\n\\n - Ensure Rust compiler is installed + (see installation steps above)\\n - For Windows: Verify Visual C++ Build + Tools are installed\\n - Try upgrading pip: `pip install --upgrade pip`\\n + \ - If issues persist, use a pre-built wheel: `pip install tiktoken --prefer-binary`\\n\\n### + 2. Setting Up Your Crew with the YAML Configuration\\n\\nTo create a new CrewAI + project, run the following CLI (Command Line Interface) command:\\n\\n```shell\\ncrewai + create crew \\n```\\n\\nThis command creates a new project folder + with the following structure:\\n\\n```\\nmy_project/\\n\u251C\u2500\u2500 + .gitignore\\n\u251C\u2500\u2500 pyproject.toml\\n\u251C\u2500\u2500 README.md\\n\u251C\u2500\u2500 + .env\\n\u2514\u2500\u2500 src/\\n \u2514\u2500\u2500 my_project/\\n \u251C\u2500\u2500 + __init__.py\\n \u251C\u2500\u2500 main.py\\n \u251C\u2500\u2500 + crew.py\\n \u251C\u2500\u2500 tools/\\n \u2502 \u251C\u2500\u2500 + custom_tool.py\\n \u2502 \u2514\u2500\u2500 __init__.py\\n \u2514\u2500\u2500 + config/\\n \u251C\u2500\u2500 agents.yaml\\n \u2514\u2500\u2500 + tasks.yaml\\n```\\n\\nYou can now start developing your crew by editing the + files in the `src/my_project` folder. The `main.py` file is the entry point + of the project, the `crew.py` file is where you define your crew, the `agents.yaml` + file is where you define your agents, and the `tasks.yaml` file is where you + define your tasks.\\n\\n#### To customize your project, you can:\\n\\n- Modify + `src/my_project/config/agents.yaml` to define your agents.\\n- Modify `src/my_project/config/tasks.yaml` + to define your tasks.\\n- Modify `src/my_project/crew.py` to add your own + logic, tools, and specific arguments.\\n- Modify `src/my_project/main.py` + to add custom inputs for your agents and tasks.\\n- Add your environment variables + into the `.env` file.\\n\\n#### Example of a simple crew with a sequential + process:\\n\\nInstantiate your crew:\\n\\n```shell\\ncrewai create crew latest-ai-development\\n```\\n\\nModify + the files as needed to fit your use case:\\n\\n**agents.yaml**\\n\\n```yaml\\n# + src/my_project/config/agents.yaml\\nresearcher:\\n role: >\\n {topic} + Senior Data Researcher\\n goal: >\\n Uncover cutting-edge developments + in {topic}\\n backstory: >\\n You're a seasoned researcher with a knack + for uncovering the latest\\n developments in {topic}. Known for your ability + to find the most relevant\\n information and present it in a clear and + concise manner.\\n\\nreporting_analyst:\\n role: >\\n {topic} Reporting + Analyst\\n goal: >\\n Create detailed reports based on {topic} data analysis + and research findings\\n backstory: >\\n You're a meticulous analyst with + a keen eye for detail. You're known for\\n your ability to turn complex + data into clear and concise reports, making\\n it easy for others to understand + and act on the information you provide.\\n```\\n\\n**tasks.yaml**\\n\\n````yaml\\n# + src/my_project/config/tasks.yaml\\nresearch_task:\\n description: >\\n Conduct + a thorough research about {topic}\\n Make sure you find any interesting + and relevant information given\\n the current year is 2025.\\n expected_output: + >\\n A list with 10 bullet points of the most relevant information about + {topic}\\n agent: researcher\\n\\nreporting_task:\\n description: >\\n Review + the context you got and expand each topic into a full section for a report.\\n + \ Make sure the report is detailed and contains any and all relevant information.\\n + \ expected_output: >\\n A fully fledge reports with the mains topics, each + with a full section of information.\\n Formatted as markdown without '```'\\n + \ agent: reporting_analyst\\n output_file: report.md\\n````\\n\\n**crew.py**\\n\\n```python\\n# + src/my_project/crew.py\\nfrom crewai import Agent, Crew, Process, Task\\nfrom + crewai.project import CrewBase, agent, crew, task\\nfrom crewai_tools import + SerperDevTool\\nfrom crewai.agents.agent_builder.base_agent import BaseAgent\\nfrom + typing import List\\n\\n@CrewBase\\nclass LatestAiDevelopmentCrew():\\n\\t\\\"\\\"\\\"LatestAiDevelopment + crew\\\"\\\"\\\"\\n\\tagents: List[BaseAgent]\\n\\ttasks: List[Task]\\n\\n\\t@agent\\n\\tdef + researcher(self) -> Agent:\\n\\t\\treturn Agent(\\n\\t\\t\\tconfig=self.agents_config['researcher'],\\n\\t\\t\\tverbose=True,\\n\\t\\t\\ttools=[SerperDevTool()]\\n\\t\\t)\\n\\n\\t@agent\\n\\tdef + reporting_analyst(self) -> Agent:\\n\\t\\treturn Agent(\\n\\t\\t\\tconfig=self.agents_config['reporting_analyst'],\\n\\t\\t\\tverbose=True\\n\\t\\t)\\n\\n\\t@task\\n\\tdef + research_task(self) -> Task:\\n\\t\\treturn Task(\\n\\t\\t\\tconfig=self.tasks_config['research_task'],\\n\\t\\t)\\n\\n\\t@task\\n\\tdef + reporting_task(self) -> Task:\\n\\t\\treturn Task(\\n\\t\\t\\tconfig=self.tasks_config['reporting_task'],\\n\\t\\t\\toutput_file='report.md'\\n\\t\\t)\\n\\n\\t@crew\\n\\tdef + crew(self) -> Crew:\\n\\t\\t\\\"\\\"\\\"Creates the LatestAiDevelopment crew\\\"\\\"\\\"\\n\\t\\treturn + Crew(\\n\\t\\t\\tagents=self.agents, # Automatically created by the @agent + decorator\\n\\t\\t\\ttasks=self.tasks, # Automatically created by the @task + decorator\\n\\t\\t\\tprocess=Process.sequential,\\n\\t\\t\\tverbose=True,\\n\\t\\t)\\n```\\n\\n**main.py**\\n\\n```python\\n#!/usr/bin/env + python\\n# src/my_project/main.py\\nimport sys\\nfrom latest_ai_development.crew + import LatestAiDevelopmentCrew\\n\\ndef run():\\n \\\"\\\"\\\"\\n Run + the crew.\\n \\\"\\\"\\\"\\n inputs = {\\n 'topic': 'AI Agents'\\n + \ }\\n LatestAiDevelopmentCrew().crew().kickoff(inputs=inputs)\\n```\\n\\n### + 3. Running Your Crew\\n\\nBefore running your crew, make sure you have the + following keys set as environment variables in your `.env` file:\\n\\n- An + [OpenAI API key](https://platform.openai.com/account/api-keys) (or other LLM + API key): `OPENAI_API_KEY=sk-...`\\n- A [Serper.dev](https://serper.dev/) + API key: `SERPER_API_KEY=YOUR_KEY_HERE`\\n\\nLock the dependencies and install + them by using the CLI command but first, navigate to your project directory:\\n\\n```shell\\ncd + my_project\\ncrewai install (Optional)\\n```\\n\\nTo run your crew, execute + the following command in the root of your project:\\n\\n```bash\\ncrewai run\\n```\\n\\nor\\n\\n```bash\\npython + src/my_project/main.py\\n```\\n\\nIf an error happens due to the usage of + poetry, please run the following command to update your crewai package:\\n\\n```bash\\ncrewai + update\\n```\\n\\nYou should see the output in the console and the `report.md` + file should be created in the root of your project with the full final report.\\n\\nIn + addition to the sequential process, you can use the hierarchical process, + which automatically assigns a manager to the defined crew to properly coordinate + the planning and execution of tasks through delegation and validation of results. + [See more about the processes here](https://docs.crewai.com/core-concepts/Processes/).\\n\\n## + Key Features\\n\\nCrewAI stands apart as a lean, standalone, high-performance + multi-AI Agent framework delivering simplicity, flexibility, and precise control\u2014free + from the complexity and limitations found in other agent frameworks.\\n\\n- + **Standalone & Lean**: Completely independent from other frameworks like LangChain, + offering faster execution and lighter resource demands.\\n- **Flexible & Precise**: + Easily orchestrate autonomous agents through intuitive [Crews](https://docs.crewai.com/concepts/crews) + or precise [Flows](https://docs.crewai.com/concepts/flows), achieving perfect + balance for your needs.\\n- **Seamless Integration**: Effortlessly combine + Crews (autonomy) and Flows (precision) to create complex, real-world automations.\\n- + **Deep Customization**: Tailor every aspect\u2014from high-level workflows + down to low-level internal prompts and agent behaviors.\\n- **Reliable Performance**: + Consistent results across simple tasks and complex, enterprise-level automations.\\n- + **Thriving Community**: Backed by robust documentation and over 100,000 certified + developers, providing exceptional support and guidance.\\n\\nChoose CrewAI + to easily build powerful, adaptable, and production-ready AI automations.\\n\\n## + Examples\\n\\nYou can test different real life examples of AI crews in the + [CrewAI-examples repo](https://github.com/crewAIInc/crewAI-examples?tab=readme-ov-file):\\n\\n- + [Landing Page Generator](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/landing_page_generator)\\n- + [Having Human input on the execution](https://docs.crewai.com/how-to/Human-Input-on-Execution)\\n- + [Trip Planner](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner)\\n- + [Stock Analysis](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis)\\n\\n### + Quick Tutorial\\n\\n[![CrewAI Tutorial](https://img.youtube.com/vi/tnejrr-0a94/maxresdefault.jpg)](https://www.youtube.com/watch?v=tnejrr-0a94 + \\\"CrewAI Tutorial\\\")\\n\\n### Write Job Descriptions\\n\\n[Check out code + for this example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/job-posting) + or watch a video below:\\n\\n[![Jobs postings](https://img.youtube.com/vi/u98wEMz-9to/maxresdefault.jpg)](https://www.youtube.com/watch?v=u98wEMz-9to + \\\"Jobs postings\\\")\\n\\n### Trip Planner\\n\\n[Check out code for this + example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner) + or watch a video below:\\n\\n[![Trip Planner](https://img.youtube.com/vi/xis7rWp-hjs/maxresdefault.jpg)](https://www.youtube.com/watch?v=xis7rWp-hjs + \\\"Trip Planner\\\")\\n\\n### Stock Analysis\\n\\n[Check out code for this + example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis) + or watch a video below:\\n\\n[![Stock Analysis](https://img.youtube.com/vi/e0Uj4yWdaAg/maxresdefault.jpg)](https://www.youtube.com/watch?v=e0Uj4yWdaAg + \\\"Stock Analysis\\\")\\n\\n### Using Crews and Flows Together\\n\\nCrewAI's + power truly shines when combining Crews with Flows to create sophisticated + automation pipelines.\\nCrewAI flows support logical operators like `or_` + and `and_` to combine multiple conditions. This can be used with `@start`, + `@listen`, or `@router` decorators to create complex triggering conditions.\\n\\n- + `or_`: Triggers when any of the specified conditions are met.\\n- `and_`Triggers + when all of the specified conditions are met.\\n\\nHere's how you can orchestrate + multiple Crews within a Flow:\\n\\n```python\\nfrom crewai.flow.flow import + Flow, listen, start, router, or_\\nfrom crewai import Crew, Agent, Task, Process\\nfrom + pydantic import BaseModel\\n\\n# Define structured state for precise control\\nclass + MarketState(BaseModel):\\n sentiment: str = \\\"neutral\\\"\\n confidence: + float = 0.0\\n recommendations: list = []\\n\\nclass AdvancedAnalysisFlow(Flow[MarketState]):\\n + \ @start()\\n def fetch_market_data(self):\\n # Demonstrate low-level + control with structured state\\n self.state.sentiment = \\\"analyzing\\\"\\n + \ return {\\\"sector\\\": \\\"tech\\\", \\\"timeframe\\\": \\\"1W\\\"} + \ # These parameters match the task description template\\n\\n @listen(fetch_market_data)\\n + \ def analyze_with_crew(self, market_data):\\n # Show crew agency + through specialized roles\\n analyst = Agent(\\n role=\\\"Senior + Market Analyst\\\",\\n goal=\\\"Conduct deep market analysis with + expert insight\\\",\\n backstory=\\\"You're a veteran analyst known + for identifying subtle market patterns\\\"\\n )\\n researcher + = Agent(\\n role=\\\"Data Researcher\\\",\\n goal=\\\"Gather + and validate supporting market data\\\",\\n backstory=\\\"You excel + at finding and correlating multiple data sources\\\"\\n )\\n\\n analysis_task + = Task(\\n description=\\\"Analyze {sector} sector data for the + past {timeframe}\\\",\\n expected_output=\\\"Detailed market analysis + with confidence score\\\",\\n agent=analyst\\n )\\n research_task + = Task(\\n description=\\\"Find supporting data to validate the + analysis\\\",\\n expected_output=\\\"Corroborating evidence and + potential contradictions\\\",\\n agent=researcher\\n )\\n\\n + \ # Demonstrate crew autonomy\\n analysis_crew = Crew(\\n agents=[analyst, + researcher],\\n tasks=[analysis_task, research_task],\\n process=Process.sequential,\\n + \ verbose=True\\n )\\n return analysis_crew.kickoff(inputs=market_data) + \ # Pass market_data as named inputs\\n\\n @router(analyze_with_crew)\\n + \ def determine_next_steps(self):\\n # Show flow control with conditional + routing\\n if self.state.confidence > 0.8:\\n return \\\"high_confidence\\\"\\n + \ elif self.state.confidence > 0.5:\\n return \\\"medium_confidence\\\"\\n + \ return \\\"low_confidence\\\"\\n\\n @listen(\\\"high_confidence\\\")\\n + \ def execute_strategy(self):\\n # Demonstrate complex decision making\\n + \ strategy_crew = Crew(\\n agents=[\\n Agent(role=\\\"Strategy + Expert\\\",\\n goal=\\\"Develop optimal market strategy\\\")\\n + \ ],\\n tasks=[\\n Task(description=\\\"Create + detailed strategy based on analysis\\\",\\n expected_output=\\\"Step-by-step + action plan\\\")\\n ]\\n )\\n return strategy_crew.kickoff()\\n\\n + \ @listen(or_(\\\"medium_confidence\\\", \\\"low_confidence\\\"))\\n def + request_additional_analysis(self):\\n self.state.recommendations.append(\\\"Gather + more data\\\")\\n return \\\"Additional analysis required\\\"\\n```\\n\\nThis + example demonstrates how to:\\n\\n1. Use Python code for basic data operations\\n2. + Create and execute Crews as steps in your workflow\\n3. Use Flow decorators + to manage the sequence of operations\\n4. Implement conditional branching + based on Crew results\\n\\n## Connecting Your Crew to a Model\\n\\nCrewAI + supports using various LLMs through a variety of connection options. By default + your agents will use the OpenAI API when querying the model. However, there + are several other ways to allow your agents to connect to models. For example, + you can configure your agents to use a local model via the Ollama tool.\\n\\nPlease + refer to the [Connect CrewAI to LLMs](https://docs.crewai.com/how-to/LLM-Connections/) + page for details on configuring your agents' connections to models.\\n\\n## + How CrewAI Compares\\n\\n**CrewAI's Advantage**: CrewAI combines autonomous + agent intelligence with precise workflow control through its unique Crews + and Flows architecture. The framework excels at both high-level orchestration + and low-level customization, enabling complex, production-grade systems with + granular control.\\n\\n- **LangGraph**: While LangGraph provides a foundation + for building agent workflows, its approach requires significant boilerplate + code and complex state management patterns. The framework's tight coupling + with LangChain can limit flexibility when implementing custom agent behaviors + or integrating with external systems.\\n\\n_P.S. CrewAI demonstrates significant + performance advantages over LangGraph, executing 5.76x faster in certain cases + like this QA task example ([see comparison](https://github.com/crewAIInc/crewAI-examples/tree/main/Notebooks/CrewAI%20Flows%20%26%20Langgraph/QA%20Agent)) + while achieving higher evaluation scores with faster completion times in certain + coding tasks, like in this example ([detailed analysis](https://github.com/crewAIInc/crewAI-examples/blob/main/Notebooks/CrewAI%20Flows%20%26%20Langgraph/Coding%20Assistant/coding_assistant_eval.ipynb))._\\n\\n- + **Autogen**: While Autogen excels at creating conversational agents capable + of working together, it lacks an inherent concept of process. In Autogen, + orchestrating agents' interactions requires additional programming, which + can become complex and cumbersome as the scale of tasks grows.\\n- **ChatDev**: + ChatDev introduced the idea of processes into the realm of AI agents, but + its implementation is quite rigid. Customizations in ChatDev are limited and + not geared towards production environments, which can hinder scalability and + flexibility in real-world applications.\\n\\n## Contribution\\n\\nCrewAI is + open-source and we welcome contributions. If you're looking to contribute, + please:\\n\\n- Fork the repository.\\n- Create a new branch for your feature.\\n- + Add your feature or improvement.\\n- Send a pull request.\\n- We appreciate + your input!\\n\\n### Installing Dependencies\\n\\n```bash\\nuv lock\\nuv sync\\n```\\n\\n### + Virtual Env\\n\\n```bash\\nuv venv\\n```\\n\\n### Pre-commit hooks\\n\\n```bash\\npre-commit + install\\n```\\n\\n### Running Tests\\n\\n```bash\\nuv run pytest .\\n```\\n\\n### + Running static type checks\\n\\n```bash\\nuvx mypy src\\n```\\n\\n### Packaging\\n\\n```bash\\nuv + build\\n```\\n\\n### Installing Locally\\n\\n```bash\\npip install dist/*.tar.gz\\n```\\n\\n## + Telemetry\\n\\nCrewAI uses anonymous telemetry to collect usage data with + the main purpose of helping us improve the library by focusing our efforts + on the most used features, integrations and tools.\\n\\nIt's pivotal to understand + that **NO data is collected** concerning prompts, task descriptions, agents' + backstories or goals, usage of tools, API calls, responses, any data processed + by the agents, or secrets and environment variables, with the exception of + the conditions mentioned. When the `share_crew` feature is enabled, detailed + data including task descriptions, agents' backstories or goals, and other + specific attributes are collected to provide deeper insights while respecting + user privacy. Users can disable telemetry by setting the environment variable + OTEL_SDK_DISABLED to true.\\n\\nData collected includes:\\n\\n- Version of + CrewAI\\n - So we can understand how many users are using the latest version\\n- + Version of Python\\n - So we can decide on what versions to better support\\n- + General OS (e.g. number of CPUs, macOS/Windows/Linux)\\n - So we know what + OS we should focus on and if we could build specific OS related features\\n- + Number of agents and tasks in a crew\\n - So we make sure we are testing + internally with similar use cases and educate people on the best practices\\n- + Crew Process being used\\n - Understand where we should focus our efforts\\n- + If Agents are using memory or allowing delegation\\n - Understand if we improved + the features or maybe even drop them\\n- If Tasks are being executed in parallel + or sequentially\\n - Understand if we should focus more on parallel execution\\n- + Language model being used\\n - Improved support on most used languages\\n- + Roles of agents in a crew\\n - Understand high level use cases so we can + build better tools, integrations and examples about it\\n- Tools names available\\n + \ - Understand out of the publicly available tools, which ones are being used + the most so we can improve them\\n\\nUsers can opt-in to Further Telemetry, + sharing the complete telemetry data by setting the `share_crew` attribute + to `True` on their Crews. Enabling `share_crew` results in the collection + of detailed crew and task execution data, including `goal`, `backstory`, `context`, + and `output` of tasks. This enables a deeper insight into usage patterns while + respecting the user's choice to share.\\n\\n## License\\n\\nCrewAI is released + under the [MIT License](https://github.com/crewAIInc/crewAI/blob/main/LICENSE).\\n\\n## + Frequently Asked Questions (FAQ)\\n\\n### General\\n\\n- [What exactly is + CrewAI?](#q-what-exactly-is-crewai)\\n- [How do I install CrewAI?](#q-how-do-i-install-crewai)\\n- + [Does CrewAI depend on LangChain?](#q-does-crewai-depend-on-langchain)\\n- + [Is CrewAI open-source?](#q-is-crewai-open-source)\\n- [Does CrewAI collect + data from users?](#q-does-crewai-collect-data-from-users)\\n\\n### Features + and Capabilities\\n\\n- [Can CrewAI handle complex use cases?](#q-can-crewai-handle-complex-use-cases)\\n- + [Can I use CrewAI with local AI models?](#q-can-i-use-crewai-with-local-ai-models)\\n- + [What makes Crews different from Flows?](#q-what-makes-crews-different-from-flows)\\n- + [How is CrewAI better than LangChain?](#q-how-is-crewai-better-than-langchain)\\n- + [Does CrewAI support fine-tuning or training custom models?](#q-does-crewai-support-fine-tuning-or-training-custom-models)\\n\\n### + Resources and Community\\n\\n- [Where can I find real-world CrewAI examples?](#q-where-can-i-find-real-world-crewai-examples)\\n- + [How can I contribute to CrewAI?](#q-how-can-i-contribute-to-crewai)\\n\\n### + Enterprise Features\\n\\n- [What additional features does CrewAI AMP offer?](#q-what-additional-features-does-crewai-enterprise-offer)\\n- + [Is CrewAI AMP available for cloud and on-premise deployments?](#q-is-crewai-enterprise-available-for-cloud-and-on-premise-deployments)\\n- + [Can I try CrewAI AMP for free?](#q-can-i-try-crewai-enterprise-for-free)\\n\\n### + Q: What exactly is CrewAI?\\n\\nA: CrewAI is a standalone, lean, and fast + Python framework built specifically for orchestrating autonomous AI agents. + Unlike frameworks like LangChain, CrewAI does not rely on external dependencies, + making it leaner, faster, and simpler.\\n\\n### Q: How do I install CrewAI?\\n\\nA: + Install CrewAI using pip:\\n\\n```shell\\npip install crewai\\n```\\n\\nFor + additional tools, use:\\n\\n```shell\\npip install 'crewai[tools]'\\n```\\n\\n### + Q: Does CrewAI depend on LangChain?\\n\\nA: No. CrewAI is built entirely from + the ground up, with no dependencies on LangChain or other agent frameworks. + This ensures a lean, fast, and flexible experience.\\n\\n### Q: Can CrewAI + handle complex use cases?\\n\\nA: Yes. CrewAI excels at both simple and highly + complex real-world scenarios, offering deep customization options at both + high and low levels, from internal prompts to sophisticated workflow orchestration.\\n\\n### + Q: Can I use CrewAI with local AI models?\\n\\nA: Absolutely! CrewAI supports + various language models, including local ones. Tools like Ollama and LM Studio + allow seamless integration. Check the [LLM Connections documentation](https://docs.crewai.com/how-to/LLM-Connections/) + for more details.\\n\\n### Q: What makes Crews different from Flows?\\n\\nA: + Crews provide autonomous agent collaboration, ideal for tasks requiring flexible + decision-making and dynamic interaction. Flows offer precise, event-driven + control, ideal for managing detailed execution paths and secure state management. + You can seamlessly combine both for maximum effectiveness.\\n\\n### Q: How + is CrewAI better than LangChain?\\n\\nA: CrewAI provides simpler, more intuitive + APIs, faster execution speeds, more reliable and consistent results, robust + documentation, and an active community\u2014addressing common criticisms and + limitations associated with LangChain.\\n\\n### Q: Is CrewAI open-source?\\n\\nA: + Yes, CrewAI is open-source and actively encourages community contributions + and collaboration.\\n\\n### Q: Does CrewAI collect data from users?\\n\\nA: + CrewAI collects anonymous telemetry data strictly for improvement purposes. + Sensitive data such as prompts, tasks, or API responses are never collected + unless explicitly enabled by the user.\\n\\n### Q: Where can I find real-world + CrewAI examples?\\n\\nA: Check out practical examples in the [CrewAI-examples + repository](https://github.com/crewAIInc/crewAI-examples), covering use cases + like trip planners, stock analysis, and job postings.\\n\\n### Q: How can + I contribute to CrewAI?\\n\\nA: Contributions are warmly welcomed! Fork the + repository, create your branch, implement your changes, and submit a pull + request. 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You - are a seasoned manager with a knack for getting the best out of your team.\nYou - are also known for your ability to delegate work to the right people, and to - ask the right questions to get the best out of your team.\nEven though you don''t - perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\nYour personal - goal is: Manage the team to complete the task in the best way possible.\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: Delegate work to coworker(task: str, context: - str, coworker: Optional[str] = None, **kwargs)\nTool Description: Delegate a - specific task to one of the following coworkers: Researcher, Senior Writer\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to execute the task, they know nothing about the task, - so share absolute everything you know, don''t reference things but instead explain - them.\nTool Arguments: {''task'': {''title'': ''Task'', ''type'': ''string''}, - ''context'': {''title'': ''Context'', ''type'': ''string''}, ''coworker'': {''title'': - ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': ''Kwargs'', ''type'': - ''object''}}\nTool Name: Ask question to coworker(question: str, context: str, - coworker: Optional[str] = None, **kwargs)\nTool Description: Ask a specific - question to one of the following coworkers: Researcher, Senior Writer\nThe input - to this tool should be the coworker, the question you have for them, and ALL - necessary context to ask the question properly, they know nothing about the - question, so share absolute everything you know, don''t reference things but - instead explain them.\nTool Arguments: {''question'': {''title'': ''Question'', - ''type'': ''string''}, ''context'': {''title'': ''Context'', ''type'': ''string''}, - ''coworker'': {''title'': ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': - ''Kwargs'', ''type'': ''object''}}\n\nUse the following format:\n\nThought: - you should always think about what to do\nAction: the action to take, only one - name of [Delegate work to coworker, Ask question to coworker], just the name, - exactly as it''s written.\nAction Input: the input to the action, just a simple - python dictionary, enclosed in curly braces, using \" to wrap keys and values.\nObservation: - the result of the action\n\nOnce all necessary information is gathered:\n\nThought: - I now know the final answer\nFinal Answer: the final answer to the original - input question\n"}, {"role": "user", "content": "\nCurrent Task: Come up with - a list of 5 interesting ideas to explore for an article, then write one amazing - paragraph highlight for each idea that showcases how good an article about this - topic could be. Return the list of ideas with their paragraph and your notes.\n\nThis - is the expect criteria for your final answer: 5 bullet points with a paragraph - for each idea.\nyou MUST return the actual complete content as the final answer, - not a summary.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"}, {"role": - "assistant", "content": "Thought: To come up with a list of 5 interesting article - ideas and write a compelling paragraph for each one, I should first generate - the ideas. For this, I will delegate the task to the Researcher and then use - the Senior Writer to create the paragraphs.\n\nAction: Delegate work to coworker\nAction - Input: {\"task\": \"Generate a list of 5 interesting ideas to explore for an - article.\", \"context\": \"We need to come up with 5 interesting and unique - article ideas that will captivate readers.\", \"coworker\": \"Researcher\"}\nObservation: - 1. **The Rise of AI in Healthcare: Revolutionizing Diagnosis and Treatment**\n - - This article could explore how AI is making strides in the healthcare industry. - From AI-driven diagnostic tools to personalized treatment plans, the piece could - highlight real-world applications and the potential future impact. Interviews - with healthcare professionals and case studies could add depth and credibility.\n\n2. - **AI and Ethics: Navigating the Moral Complexity of Machine Intelligence**\n - - Delve into the ethical considerations surrounding AI development and deployment. - The article could examine issues such as bias in AI algorithms, privacy concerns, - and the ethical responsibility of AI developers. Expert opinions from ethicists, - technologists, and policymakers can provide a well-rounded perspective.\n\n3. - **AI Agents in the Workplace: Enhancing Productivity or Eroding Jobs?**\n - - This piece can analyze the dual impact of AI agents in the professional environment. - While some argue that AI can significantly boost productivity by automating - mundane tasks, others fear job displacement. 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The Rise of AI in\ - \ Healthcare: Revolutionizing Diagnosis and Treatment. 2. AI and Ethics: Navigating\ - \ the Moral Complexity of Machine Intelligence. 3. AI Agents in the Workplace:\ - \ Enhancing Productivity or Eroding Jobs? 4. From Science Fiction to Reality:\ - \ The Evolution of AI Agents in Popular Culture. 5. The Future of AI in Personalization:\ - \ Creating Tailored Experiences in Everyday Life. Each paragraph should be\ - \ engaging and highlight the potential of an entire article written on that\ - \ topic.\\\", \\\"coworker\\\": \\\"Senior Writer\\\"}\\nObservation: 1. **The\ - \ Rise of AI in Healthcare: Revolutionizing Diagnosis and Treatment**\\n \ - \ - Artificial intelligence is transforming the healthcare industry in unprecedented\ - \ ways. From enhancing diagnostic accuracy with AI-driven tools to creating\ - \ personalized treatment plans, AI is bridging gaps in medical care and bringing\ - \ about a revolution. 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With input\ - \ from ethicists, technologists, and policymakers, it offers a comprehensive\ - \ look at the moral landscape of AI, guiding readers through the critical\ - \ questions that shape the future of machine intelligence and its impact on\ - \ society.\\n\\n3. **AI Agents in the Workplace: Enhancing Productivity or\ - \ Eroding Jobs?**\\n - The introduction of AI agents in the workplace presents\ - \ a double-edged sword; while these technologies can vastly enhance productivity\ - \ by automating routine tasks, they also raise concerns about job displacement.\ - \ This article paints a balanced picture, drawing on data and expert forecasts\ - \ to explore both sides of the argument. Are we heading towards a future where\ - \ AI aids human creativity and efficiency, or are we on the brink of a job\ - \ crisis? The answer may be a nuanced blend of both.\\n\\n4. **From Science\ - \ Fiction to Reality: The Evolution of AI Agents in Popular Culture**\\n \ - \ - AI has long been a staple of science fiction, captivating audiences with\ - \ visions of intelligent machines. This article traces the portrayal of AI\ - \ agents in movies, books, and video games, juxtaposing these fictional narratives\ - \ against today’s technological realities. Interviews with creators from the\ - \ entertainment industry and AI experts illuminate how close—or far—we are\ - \ from making these sci-fi dreams a reality, providing a fascinating journey\ - \ through the evolution of AI in popular culture.\\n\\n5. **The Future of\ - \ AI in Personalization: Creating Tailored Experiences in Everyday Life**\\\ - n - Imagine a world where every experience, from shopping to entertainment,\ - \ is uniquely tailored to your preferences by intelligent systems. This article\ - \ explores the cutting-edge of AI-driven personalization, discussing current\ - \ technologies and future potentials. Featuring insights from industry leaders\ - \ and technologists, readers will discover how AI is revolutionizing the way\ - \ we live, offering bespoke experiences that were once the realm of fantasy\ - \ but are swiftly becoming a part of our daily lives.\\n\\nThought: I now\ - \ have five compelling paragraphs that highlight the potential of articles\ - \ on each of these topics. \\n\\nFinal Answer: \\n1. **The Rise of AI in Healthcare:\ - \ Revolutionizing Diagnosis and Treatment**\\n - Artificial intelligence\ - \ is transforming the healthcare industry in unprecedented ways. From enhancing\ - \ diagnostic accuracy with AI-driven tools to creating personalized treatment\ - \ plans, AI is bridging gaps in medical care and bringing about a revolution.\ - \ Imagine a world where diseases are diagnosed at lightning speed, and treatments\ - \ are tailored to individual genetic makeups. This article will explore these\ - \ groundbreaking advancements, featuring real-world applications and expert\ - \ insights, revealing the future of healthcare driven by AI.\\n\\n2. **AI\ - \ and Ethics: Navigating the Moral Complexity of Machine Intelligence**\\\ - n - As AI technology advances, ethical dilemmas emerge, challenging our\ - \ understanding of morality and responsibility. This article delves into the\ - \ complex world of AI ethics, examining pressing issues like algorithmic bias,\ - \ privacy concerns, and the ethical responsibilities of developers. With input\ - \ from ethicists, technologists, and policymakers, it offers a comprehensive\ - \ look at the moral landscape of AI, guiding readers through the critical\ - \ questions that shape the future of machine intelligence and its impact on\ - \ society.\\n\\n3. **AI Agents in the Workplace: Enhancing Productivity or\ - \ Eroding Jobs?**\\n - The introduction of AI agents in the workplace presents\ - \ a double-edged sword; while these technologies can vastly enhance productivity\ - \ by automating routine tasks, they also raise concerns about job displacement.\ - \ This article paints a balanced picture, drawing on data and expert forecasts\ - \ to explore both sides of the argument. Are we heading towards a future where\ - \ AI aids human creativity and efficiency, or are we on the brink of a job\ - \ crisis? The answer may be a nuanced blend of both.\\n\\n4. **From Science\ - \ Fiction to Reality: The Evolution of AI Agents in Popular Culture**\\n \ - \ - AI has long been a staple of science fiction, captivating audiences with\ - \ visions of intelligent machines. This article traces the portrayal of AI\ - \ agents in movies, books, and video games, juxtaposing these fictional narratives\ - \ against today’s technological realities. Interviews with creators from the\ - \ entertainment industry and AI experts illuminate how close—or far—we are\ - \ from making these sci-fi dreams a reality, providing a fascinating journey\ - \ through the evolution of AI in popular culture.\\n\\n5. **The Future of\ - \ AI in Personalization: Creating Tailored Experiences in Everyday Life**\\\ - n - Imagine a world where every experience, from shopping to entertainment,\ - \ is uniquely tailored to your preferences by intelligent systems. This article\ - \ explores the cutting-edge of AI-driven personalization, discussing current\ - \ technologies and future potentials. 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You - are a seasoned manager with a knack for getting the best out of your team.\nYou - are also known for your ability to delegate work to the right people, and to - ask the right questions to get the best out of your team.\nEven though you don''t - perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\nYour personal - goal is: Manage the team to complete the task in the best way possible.\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: Delegate work to coworker(task: str, context: - str, coworker: Optional[str] = None, **kwargs)\nTool Description: Delegate a - specific task to one of the following coworkers: Researcher, Senior Writer\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to execute the task, they know nothing about the task, - so share absolute everything you know, don''t reference things but instead explain - them.\nTool Arguments: {''task'': {''title'': ''Task'', ''type'': ''string''}, - ''context'': {''title'': ''Context'', ''type'': ''string''}, ''coworker'': {''title'': - ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': ''Kwargs'', ''type'': - ''object''}}\nTool Name: Ask question to coworker(question: str, context: str, - coworker: Optional[str] = None, **kwargs)\nTool Description: Ask a specific - question to one of the following coworkers: Researcher, Senior Writer\nThe input - to this tool should be the coworker, the question you have for them, and ALL - necessary context to ask the question properly, they know nothing about the - question, so share absolute everything you know, don''t reference things but - instead explain them.\nTool Arguments: {''question'': {''title'': ''Question'', - ''type'': ''string''}, ''context'': {''title'': ''Context'', ''type'': ''string''}, - ''coworker'': {''title'': ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': - ''Kwargs'', ''type'': ''object''}}\n\nUse the following format:\n\nThought: - you should always think about what to do\nAction: the action to take, only one - name of [Delegate work to coworker, Ask question to coworker], just the name, - exactly as it''s written.\nAction Input: the input to the action, just a simple - python dictionary, enclosed in curly braces, using \" to wrap keys and values.\nObservation: - the result of the action\n\nOnce all necessary information is gathered:\n\nThought: - I now know the final answer\nFinal Answer: the final answer to the original - input question\n"}, {"role": "user", "content": "\nCurrent Task: Come up with - a list of 5 interesting ideas to explore for an article, then write one amazing - paragraph highlight for each idea that showcases how good an article about this - topic could be. 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This article would delve into real-world cases where AI\ - \ has made a significant impact, providing insights from healthcare professionals\ - \ who witness these technological advancements firsthand. The future of medicine\ - \ is not only in the hands of doctors and nurses but also in the code and\ - \ algorithms of AI systems.\\n\\n2. **AI and Ethics: Navigating the Moral\ - \ Complexity of Machine Intelligence**\\n - The rapid development of artificial\ - \ intelligence brings with it not just technological advancements but also\ - \ a slew of ethical dilemmas. This article will explore the complex moral\ - \ landscape AI inhabits, questioning the bias that may be programmed into\ - \ algorithms, the privacy concerns surrounding data usage, and the ethical\ - \ responsibilities of those who develop AI technologies. Insightful perspectives\ - \ from ethicists, technologists, and policymakers will highlight how society\ - \ can navigate these challenges to ensure that AI benefits humanity as a whole.\\\ - n\\n3. **AI Agents in the Workplace: Enhancing Productivity or Eroding Jobs?**\\\ - n - As AI agents become more integrated into the workforce, the debate over\ - \ their impact intensifies. This article will examine how AI can boost productivity\ - \ by automating routine tasks, thereby freeing up human workers for more creative\ - \ and strategic roles. However, it will also address the fear of job displacement\ - \ and present data and forecasts about the future labor market. Balanced viewpoints\ - \ from industry analysts and workers affected by AI implementation will offer\ - \ a comprehensive understanding of the pros and cons of AI in the workplace.\\\ - n\\n4. **From Science Fiction to Reality: The Evolution of AI Agents in Popular\ - \ Culture**\\n - From HAL 9000 to Jarvis, AI agents have long captivated\ - \ our imaginations in books, movies, and video games. This article will take\ - \ readers on a journey through time, highlighting how AI has been portrayed\ - \ in popular culture and comparing these fictional depictions to the current\ - \ state of AI technology. 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You''re - a senior writer, specialized in technology, software engineering, AI and startups. - You work as a freelancer and are now working on writing content for a new customer.\nYour - personal goal is: Write the best content about AI and AI agents.\nTo give my - best complete final answer to the task use the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}, {"role": "user", "content": "\nCurrent - Task: Write one amazing paragraph highlight for each of these 5 article ideas: - \n\n1. **The Rise of AI in Healthcare: Revolutionizing Diagnosis and Treatment**\n- - This article could explore how AI is making strides in the healthcare industry. - From AI-driven diagnostic tools to personalized treatment plans, the piece could - highlight real-world applications and the potential future impact. 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AI-driven diagnostic tools are already outperforming human experts\ - \ in identifying ailments from medical images, while personalized treatment\ - \ plans are becoming a reality through predictive analytics that cater to\ - \ individual patient needs. This article will dive into real-world applications,\ - \ such as AI algorithms detecting early-stage cancers or predicting patient\ - \ outcomes with unprecedented accuracy. Featuring interviews with healthcare\ - \ professionals and insightful case studies, it will paint a vivid picture\ - \ of how AI is not only enhancing medical outcomes but also reshaping the\ - \ entire healthcare landscape for the future.\\n\\n2. **AI and Ethics: Navigating\ - \ the Moral Complexity of Machine Intelligence**\\nAs Artificial Intelligence\ - \ continues to evolve, it brings with it a host of ethical dilemmas that society\ - \ must grapple with. This article will delve into the moral intricacies of\ - \ AI, focusing on pressing issues such as algorithmic bias, the preservation\ - \ of privacy, and the ethical duties of AI developers. By examining high-profile\ - \ cases of biased AI and exploring the perspectives of ethicists, technologists,\ - \ and policymakers, the piece will offer a comprehensive look at the ethical\ - \ landscape of machine intelligence. It aims to provoke thought and spark\ - \ dialogue on how we can responsibly harness AI's power while safeguarding\ - \ human values and rights.\\n\\n3. **AI Agents in the Workplace: Enhancing\ - \ Productivity or Eroding Jobs?**\\nThe integration of AI agents in the workplace\ - \ presents a paradox of progress and peril. On one hand, AI can drastically\ - \ enhance productivity by automating repetitive tasks and offering intelligent\ - \ insights that drive innovation. On the other, there is a growing concern\ - \ about job displacement and the socioeconomic implications of a heavily automated\ - \ workforce. This article will explore this dual impact, presenting data and\ - \ forecasts on labor market trends and featuring opinions from industry experts,\ - \ economists, and affected workers. By striking a balance between optimism\ - \ and caution, it will provide a nuanced view of AI's role in reshaping the\ - \ future of work.\\n\\n4. **From Science Fiction to Reality: The Evolution\ - \ of AI Agents in Popular Culture**\\nThe portrayal of AI agents in popular\ - \ culture has long fascinated and terrified us, from the benevolent, human-like\ - \ robots of movies and books to the dystopian scenarios of video games. This\ - \ article will take readers on a journey through the evolution of AI in fiction,\ - \ contrasting these imaginative narratives with the current capabilities and\ - \ limitations of real-world AI. 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You - are a seasoned manager with a knack for getting the best out of your team.\nYou - are also known for your ability to delegate work to the right people, and to - ask the right questions to get the best out of your team.\nEven though you don''t - perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\nYour personal - goal is: Manage the team to complete the task in the best way possible.\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: Delegate work to coworker(task: str, context: - str, coworker: Optional[str] = None, **kwargs)\nTool Description: Delegate a - specific task to one of the following coworkers: Researcher, Senior Writer\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to execute the task, they know nothing about the task, - so share absolute everything you know, don''t reference things but instead explain - them.\nTool Arguments: {''task'': {''title'': ''Task'', ''type'': ''string''}, - ''context'': {''title'': ''Context'', ''type'': ''string''}, ''coworker'': {''title'': - ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': ''Kwargs'', ''type'': - ''object''}}\nTool Name: Ask question to coworker(question: str, context: str, - coworker: Optional[str] = None, **kwargs)\nTool Description: Ask a specific - question to one of the following coworkers: Researcher, Senior Writer\nThe input - to this tool should be the coworker, the question you have for them, and ALL - necessary context to ask the question properly, they know nothing about the - question, so share absolute everything you know, don''t reference things but - instead explain them.\nTool Arguments: {''question'': {''title'': ''Question'', - ''type'': ''string''}, ''context'': {''title'': ''Context'', ''type'': ''string''}, - ''coworker'': {''title'': ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': - ''Kwargs'', ''type'': ''object''}}\n\nUse the following format:\n\nThought: - you should always think about what to do\nAction: the action to take, only one - name of [Delegate work to coworker, Ask question to coworker], just the name, - exactly as it''s written.\nAction Input: the input to the action, just a simple - python dictionary, enclosed in curly braces, using \" to wrap keys and values.\nObservation: - the result of the action\n\nOnce all necessary information is gathered:\n\nThought: - I now know the final answer\nFinal Answer: the final answer to the original - input question\n"}, {"role": "user", "content": "\nCurrent Task: Come up with - a list of 5 interesting ideas to explore for an article, then write one amazing - paragraph highlight for each idea that showcases how good an article about this - topic could be. Return the list of ideas with their paragraph and your notes.\n\nThis - is the expect criteria for your final answer: 5 bullet points with a paragraph - for each idea.\nyou MUST return the actual complete content as the final answer, - not a summary.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"}, {"role": - "assistant", "content": "Thought: To come up with a list of 5 interesting article - ideas and write a compelling paragraph for each one, I should first generate - the ideas. For this, I will delegate the task to the Researcher and then use - the Senior Writer to create the paragraphs.\n\nAction: Delegate work to coworker\nAction - Input: {\"task\": \"Generate a list of 5 interesting ideas to explore for an - article.\", \"context\": \"We need to come up with 5 interesting and unique - article ideas that will captivate readers.\", \"coworker\": \"Researcher\"}\nObservation: - 1. **The Rise of AI in Healthcare: Revolutionizing Diagnosis and Treatment**\n - - This article could explore how AI is making strides in the healthcare industry. - From AI-driven diagnostic tools to personalized treatment plans, the piece could - highlight real-world applications and the potential future impact. 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The - focus can be on current technologies and future possibilities, featuring insights - from industry leaders and technologists who are driving these innovations.\n\nThese - five article ideas are designed to draw in readers by addressing contemporary - issues and trends in AI, while also providing expert insights and balanced viewpoints."}, - {"role": "user", "content": "I did it wrong. Tried to both perform Action and - give a Final Answer at the same time, I must do one or the other"}, {"role": - "assistant", "content": "Thought: Now that I have the list of 5 interesting - article ideas from the Researcher, the next step is to ask the Senior Writer - to create a compelling paragraph for each idea. This will ensure that each topic - is highlighted effectively.\n\nAction: Delegate work to coworker\nAction Input: - {\"task\": \"Write one amazing paragraph highlight for each of these 5 article - ideas: \\n\\n1. **The Rise of AI in Healthcare: Revolutionizing Diagnosis and - Treatment**\\n- This article could explore how AI is making strides in the healthcare - industry. From AI-driven diagnostic tools to personalized treatment plans, the - piece could highlight real-world applications and the potential future impact. - Interviews with healthcare professionals and case studies could add depth and - credibility.\\n\\n2. **AI and Ethics: Navigating the Moral Complexity of Machine - Intelligence**\\n- Delve into the ethical considerations surrounding AI development - and deployment. The article could examine issues such as bias in AI algorithms, - privacy concerns, and the ethical responsibility of AI developers. 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Insightful perspectives from ethicists, - technologists, and policymakers will highlight how society can navigate these - challenges to ensure that AI benefits humanity as a whole.\n\n3. **AI Agents - in the Workplace: Enhancing Productivity or Eroding Jobs?**\n - As AI agents - become more integrated into the workforce, the debate over their impact intensifies. - This article will examine how AI can boost productivity by automating routine - tasks, thereby freeing up human workers for more creative and strategic roles. - However, it will also address the fear of job displacement and present data - and forecasts about the future labor market. 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This article will explore how AI is revolutionizing - everything from shopping and entertainment to education and personal finance. - Featuring insights from industry leaders and technologists, the piece will showcase - the current state of personalization technologies and speculate on future advancements, - painting a vivid picture of a world where AI knows us better than we know ourselves.\nObservation: - 1. **The Rise of AI in Healthcare: Revolutionizing Diagnosis and Treatment**\nArtificial - Intelligence is spearheading a transformative era in healthcare, fundamentally - altering how diseases are diagnosed and treated. AI-driven diagnostic tools - are already outperforming human experts in identifying ailments from medical - images, while personalized treatment plans are becoming a reality through predictive - analytics that cater to individual patient needs. This article will dive into - real-world applications, such as AI algorithms detecting early-stage cancers - or predicting patient outcomes with unprecedented accuracy. Featuring interviews - with healthcare professionals and insightful case studies, it will paint a vivid - picture of how AI is not only enhancing medical outcomes but also reshaping - the entire healthcare landscape for the future.\n\n2. **AI and Ethics: Navigating - the Moral Complexity of Machine Intelligence**\nAs Artificial Intelligence continues - to evolve, it brings with it a host of ethical dilemmas that society must grapple - with. This article will delve into the moral intricacies of AI, focusing on - pressing issues such as algorithmic bias, the preservation of privacy, and the - ethical duties of AI developers. By examining high-profile cases of biased AI - and exploring the perspectives of ethicists, technologists, and policymakers, - the piece will offer a comprehensive look at the ethical landscape of machine - intelligence. It aims to provoke thought and spark dialogue on how we can responsibly - harness AI''s power while safeguarding human values and rights.\n\n3. **AI Agents - in the Workplace: Enhancing Productivity or Eroding Jobs?**\nThe integration - of AI agents in the workplace presents a paradox of progress and peril. On one - hand, AI can drastically enhance productivity by automating repetitive tasks - and offering intelligent insights that drive innovation. On the other, there - is a growing concern about job displacement and the socioeconomic implications - of a heavily automated workforce. This article will explore this dual impact, - presenting data and forecasts on labor market trends and featuring opinions - from industry experts, economists, and affected workers. 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You - are a seasoned manager with a knack for getting the best out of your team.\nYou - are also known for your ability to delegate work to the right people, and to - ask the right questions to get the best out of your team.\nEven though you don''t - perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\nYour personal - goal is: Manage the team to complete the task in the best way possible.\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: Delegate work to coworker\nTool Arguments: - {''task'': {''description'': ''The task to delegate'', ''type'': ''str''}, ''context'': - {''description'': ''The context for the task'', ''type'': ''str''}, ''coworker'': - {''description'': ''The role/name of the coworker to delegate to'', ''type'': - ''str''}}\nTool Description: Delegate a specific task to one of the following - coworkers: Researcher, Senior Writer\nThe input to this tool should be the coworker, - the task you want them to do, and ALL necessary context to execute the task, - they know nothing about the task, so share absolutely everything you know, don''t - reference things but instead explain them.\nTool Name: Ask question to coworker\nTool - Arguments: {''question'': {''description'': ''The question to ask'', ''type'': - ''str''}, ''context'': {''description'': ''The context for the question'', ''type'': - ''str''}, ''coworker'': {''description'': ''The role/name of the coworker to - ask'', ''type'': ''str''}}\nTool Description: Ask a specific question to one - of the following coworkers: Researcher, Senior Writer\nThe input to this tool - should be the coworker, the question you have for them, and ALL necessary context - to ask the question properly, they know nothing about the question, so share - absolutely everything you know, don''t reference things but instead explain - them.\n\nIMPORTANT: Use the following format in your response:\n\n```\nThought: - you should always think about what to do\nAction: the action to take, only one - name of [Delegate work to coworker, Ask question to coworker], just the name, - exactly as it''s written.\nAction Input: the input to the action, just a simple - JSON object, enclosed in curly braces, using \" to wrap keys and values.\nObservation: - the result of the action\n```\n\nOnce all necessary information is gathered, - return the following format:\n\n```\nThought: I now know the final answer\nFinal - Answer: the final answer to the original input question\n```"}, {"role": "user", - "content": "\nCurrent Task: Come up with a list of 5 interesting ideas to explore - for an article, then write one amazing paragraph highlight for each idea that - showcases how good an article about this topic could be. 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For this, - I will delegate the task to the Researcher and then use the Senior Writer to - create the paragraphs.\n\nAction: Delegate work to coworker\nAction Input: {\"task\": - \"Generate a list of 5 interesting ideas to explore for an article.\", \"context\": - \"We need to come up with 5 interesting and unique article ideas that will captivate - readers.\", \"coworker\": \"Researcher\"}\nObservation: 1. **The Rise of AI - in Healthcare: Revolutionizing Diagnosis and Treatment**\n - Artificial intelligence - is transforming the healthcare industry in unprecedented ways. From enhancing - diagnostic accuracy with AI-driven tools to creating personalized treatment - plans, AI is bridging gaps in medical care and bringing about a revolution. - Imagine a world where diseases are diagnosed at lightning speed, and treatments - are tailored to individual genetic makeups. This article will explore these - groundbreaking advancements, featuring real-world applications and expert insights, - revealing the future of healthcare driven by AI.\n\n2. **AI and Ethics: Navigating - the Moral Complexity of Machine Intelligence**\n - As AI technology advances, - ethical dilemmas emerge, challenging our understanding of morality and responsibility. - This article delves into the complex world of AI ethics, examining pressing - issues like algorithmic bias, privacy concerns, and the ethical responsibilities - of developers. With input from ethicists, technologists, and policymakers, it - offers a comprehensive look at the moral landscape of AI, guiding readers through - the critical questions that shape the future of machine intelligence and its - impact on society.\n\n3. **AI Agents in the Workplace: Enhancing Productivity - or Eroding Jobs?**\n - The introduction of AI agents in the workplace presents - a double-edged sword; while these technologies can vastly enhance productivity - by automating routine tasks, they also raise concerns about job displacement. - This article paints a balanced picture, drawing on data and expert forecasts - to explore both sides of the argument. Are we heading towards a future where - AI aids human creativity and efficiency, or are we on the brink of a job crisis? - The answer may be a nuanced blend of both.\n\n4. **From Science Fiction to Reality: - The Evolution of AI Agents in Popular Culture**\n - AI has long been a staple - of science fiction, captivating audiences with visions of intelligent machines. - This article traces the portrayal of AI agents in movies, books, and video games, - juxtaposing these fictional narratives against today\u2019s technological realities. - Interviews with creators from the entertainment industry and AI experts illuminate - how close\u2014or far\u2014we are from making these sci-fi dreams a reality, - providing a fascinating journey through the evolution of AI in popular culture.\n\n5. - **The Future of AI in Personalization: Creating Tailored Experiences in Everyday - Life**\n - Imagine a world where every experience, from shopping to entertainment, - is uniquely tailored to your preferences by intelligent systems. This article - explores the cutting-edge of AI-driven personalization, discussing current technologies - and future potentials. Featuring insights from industry leaders and technologists, - readers will discover how AI is revolutionizing the way we live, offering bespoke - experiences that were once the realm of fantasy but are swiftly becoming a part - of our daily lives."}, {"role": "assistant", "content": "Thought: Now that I - have the list of 5 interesting article ideas from the Researcher, the next step - is to ask the Senior Writer to create a compelling paragraph for each idea. - This will ensure that each topic is highlighted effectively.\n\nAction: Delegate - work to coworker\nAction Input: {\"task\": \"Write one amazing paragraph highlight - for each of these 5 article ideas: \\n\\n1. **The Rise of AI in Healthcare: - Revolutionizing Diagnosis and Treatment**\\n- This article could explore how - AI is making strides in the healthcare industry. From AI-driven diagnostic tools - to personalized treatment plans, the piece could highlight real-world applications - and the potential future impact. Interviews with healthcare professionals and - case studies could add depth and credibility.\\n\\n2. **AI and Ethics: Navigating - the Moral Complexity of Machine Intelligence**\\n- Delve into the ethical considerations - surrounding AI development and deployment. The article could examine issues - such as bias in AI algorithms, privacy concerns, and the ethical responsibility - of AI developers. Expert opinions from ethicists, technologists, and policymakers - can provide a well-rounded perspective.\\n\\n3. **AI Agents in the Workplace: - Enhancing Productivity or Eroding Jobs?**\\n- This piece can analyze the dual - impact of AI agents in the professional environment. While some argue that AI - can significantly boost productivity by automating mundane tasks, others fear - job displacement. The article can present both sides, backed by data and forecasts - about labor market trends.\\n\\n4. **From Science Fiction to Reality: The Evolution - of AI Agents in Popular Culture**\\n- An engaging piece that traces the depiction - of AI agents in movies, books, and video games, and compares these fictional - portrayals to the current state of AI technology. This can include interviews - with creators from the entertainment industry and AI experts to discuss how - close we are to realizing these sci-fi visions.\\n\\n5. **The Future of AI in - Personalization: Creating Tailored Experiences in Everyday Life**\\n- Discuss - how AI is enhancing personalization in various domains such as shopping, entertainment, - education, and personal finance. The focus can be on current technologies and - future possibilities, featuring insights from industry leaders and technologists - who are driving these innovations.\", \"context\": \"Create compelling paragraphs - that highlight the potential and intrigue of each article idea. These should - be engaging and showcase how fascinating each article could be.\", \"coworker\": - \"Senior Writer\"}\n\nObservation: The Senior Writer provided the following - compelling paragraphs for each article idea:\n\n1. **The Rise of AI in Healthcare: - Revolutionizing Diagnosis and Treatment**\n - Imagine a world where a doctor - can diagnose a condition with pinpoint accuracy, thanks to the help of artificial - intelligence. AI is already transforming healthcare with advanced diagnostic - tools and personalized treatment plans. This article would delve into real-world - cases where AI has made a significant impact, providing insights from healthcare - professionals who witness these technological advancements firsthand. The future - of medicine is not only in the hands of doctors and nurses but also in the code - and algorithms of AI systems.\n\n2. **AI and Ethics: Navigating the Moral Complexity - of Machine Intelligence**\n - The rapid development of artificial intelligence - brings with it not just technological advancements but also a slew of ethical - dilemmas. This article will explore the complex moral landscape AI inhabits, - questioning the bias that may be programmed into algorithms, the privacy concerns - surrounding data usage, and the ethical responsibilities of those who develop - AI technologies. Insightful perspectives from ethicists, technologists, and - policymakers will highlight how society can navigate these challenges to ensure - that AI benefits humanity as a whole.\n\n3. **AI Agents in the Workplace: Enhancing - Productivity or Eroding Jobs?**\n - As AI agents become more integrated into - the workforce, the debate over their impact intensifies. This article will examine - how AI can boost productivity by automating routine tasks, thereby freeing up - human workers for more creative and strategic roles. However, it will also address - the fear of job displacement and present data and forecasts about the future - labor market. Balanced viewpoints from industry analysts and workers affected - by AI implementation will offer a comprehensive understanding of the pros and - cons of AI in the workplace.\n\n4. **From Science Fiction to Reality: The Evolution - of AI Agents in Popular Culture**\n - From HAL 9000 to Jarvis, AI agents have - long captivated our imaginations in books, movies, and video games. This article - will take readers on a journey through time, highlighting how AI has been portrayed - in popular culture and comparing these fictional depictions to the current state - of AI technology. Conversations with creators from the entertainment industry - and AI experts will reveal whether these sci-fi visions are becoming our reality - and what the future holds for AI in culture.\n\n5. **The Future of AI in Personalization: - Creating Tailored Experiences in Everyday Life**\n - In an increasingly digital - world, AI is enhancing personalization across various domains, crafting tailored - experiences that cater to individual needs. This article will explore how AI - is revolutionizing everything from shopping and entertainment to education and - personal finance. Featuring insights from industry leaders and technologists, - the piece will showcase the current state of personalization technologies and - speculate on future advancements, painting a vivid picture of a world where - AI knows us better than we know ourselves.\nObservation: 1. **The Rise of AI - in Healthcare: Revolutionizing Diagnosis and Treatment**\n - Artificial Intelligence - is spearheading a transformative era in healthcare, fundamentally altering how - diseases are diagnosed and treated. AI-driven diagnostic tools are already outperforming - human experts in identifying ailments from medical images, while personalized - treatment plans are becoming a reality through predictive analytics that cater - to individual patient needs. This article will dive into real-world applications, - such as AI algorithms detecting early-stage cancers or predicting patient outcomes - with unprecedented accuracy. Featuring interviews with healthcare professionals - and insightful case studies, it will paint a vivid picture of how AI is not - only enhancing medical outcomes but also reshaping the entire healthcare landscape - for the future.\n\n2. **AI and Ethics: Navigating the Moral Complexity of Machine - Intelligence**\n - As Artificial Intelligence continues to evolve, it brings - with it a host of ethical dilemmas that society must grapple with. This article - will delve into the moral intricacies of AI, focusing on pressing issues such - as algorithmic bias, the preservation of privacy, and the ethical duties of - AI developers. By examining high-profile cases of biased AI and exploring the - perspectives of ethicists, technologists, and policymakers, the piece will offer - a comprehensive look at the ethical landscape of machine intelligence. It aims - to provoke thought and spark dialogue on how we can responsibly harness AI''s - power while safeguarding human values and rights.\n\n3. **AI Agents in the Workplace: - Enhancing Productivity or Eroding Jobs?**\n - The integration of AI agents - in the workplace presents a paradox of progress and peril. On one hand, AI can - drastically enhance productivity by automating repetitive tasks and offering - intelligent insights that drive innovation. On the other, there is a growing - concern about job displacement and the socioeconomic implications of a heavily - automated workforce. This article will explore this dual impact, presenting - data and forecasts on labor market trends and featuring opinions from industry - experts, economists, and affected workers. By striking a balance between optimism - and caution, it will provide a nuanced view of AI''s role in reshaping the future - of work.\n\n4. **From Science Fiction to Reality: The Evolution of AI Agents - in Popular Culture**\n - The portrayal of AI agents in popular culture has - long fascinated and terrified us, from the benevolent, human-like robots of - movies and books to the dystopian scenarios of video games. This article will - take readers on a journey through the evolution of AI in fiction, contrasting - these imaginative narratives with the current capabilities and limitations of - real-world AI. Interviews with filmmakers, authors, and game developers, alongside - insights from AI researchers, will shed light on how closely today''s technology - mirrors these sci-fi visions. The piece aims to captivate readers by exploring - the interplay between creativity and technological advancement, revealing the - thin line between fantasy and reality.\n\n5. **The Future of AI in Personalization: - Creating Tailored Experiences in Everyday Life**\n - AI is revolutionizing - the concept of personalization, offering users tailored experiences in areas - as diverse as shopping, entertainment, education, and personal finance. This - article will explore how AI algorithms are learning from user behaviors and - preferences to deliver highly customized content and recommendations, enhancing - user satisfaction and engagement. By highlighting current technologies and featuring - interviews with industry leaders and technologists, it will forecast future - possibilities and innovations. The piece will demonstrate how AI personalization - is not just a trend, but a paradigm shift in how we interact with technology - in our daily lives, promising a future where every experience can be uniquely - tailored to individual needs. \n\nThese paragraphs showcase the potential and - intrigue of each topic, demonstrating how engaging and insightful the articles - could be."}], "model": "gpt-4o", "stop": ["\nObservation:"]}' - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '16854' - content-type: - - application/json - host: - - api.openai.com - user-agent: - - OpenAI/Python 1.93.0 - x-stainless-arch: - - arm64 - x-stainless-async: - - 'false' - x-stainless-lang: - - python - x-stainless-os: - - MacOS - x-stainless-package-version: - - 1.93.0 - x-stainless-raw-response: - - 'true' + - 1.83.0 x-stainless-read-timeout: - - '600.0' + - X-STAINLESS-READ-TIMEOUT-XXX x-stainless-retry-count: - '0' x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.9 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-C8auC4UbF4NC0dFu1rCu3ftOxrqmr\",\n \"object\"\ - : \"chat.completion\",\n \"created\": 1756164524,\n \"model\": \"gpt-4o-2024-08-06\"\ - ,\n \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \ - \ \"role\": \"assistant\",\n \"content\": \"```\\nThought: I now\ - \ know the final answer\\nFinal Answer: \\n1. **The Rise of AI in Healthcare:\ - \ Revolutionizing Diagnosis and Treatment**\\n - Artificial Intelligence\ - \ is spearheading a transformative era in healthcare, fundamentally altering\ - \ how diseases are diagnosed and treated. AI-driven diagnostic tools are already\ - \ outperforming human experts in identifying ailments from medical images,\ - \ while personalized treatment plans are becoming a reality through predictive\ - \ analytics that cater to individual patient needs. This article will dive\ - \ into real-world applications, such as AI algorithms detecting early-stage\ - \ cancers or predicting patient outcomes with unprecedented accuracy. Featuring\ - \ interviews with healthcare professionals and insightful case studies, it\ - \ will paint a vivid picture of how AI is not only enhancing medical outcomes\ - \ but also reshaping the entire healthcare landscape for the future.\\n\\\ - n2. **AI and Ethics: Navigating the Moral Complexity of Machine Intelligence**\\\ - n - As Artificial Intelligence continues to evolve, it brings with it a\ - \ host of ethical dilemmas that society must grapple with. 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Here\u2019s a compelling + paragraph that teases the potential of each article idea, crafted to captivate + readers right from the opening line:\\n\\nImagine a world where artificial + intelligence doesn\u2019t just assist but actively thinks, learns, and decides + autonomously\u2014this is the thrilling frontier of AI agents, reshaping industries + and daily life alike. From the ground-breaking ways AI-driven agents revolutionize + software engineering by optimizing code and accelerating innovation, to their + pivotal role in startups where smart automation fuels unprecedented growth + and competitive edges, each article delves into a facet of AI that promises + to redefine our future. Readers will be drawn into stories of how these intelligent + systems mimic human cognition, transform mundane workflows, and unlock new + realms of possibility, all while navigating ethical considerations and the + evolving landscape of AI research. This series invites you to explore not + just the technology itself, but the profound impact AI agents are set to have + on how we create, collaborate, and innovate in an increasingly connected world.\",\n + \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": + null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 179,\n \"completion_tokens\": 193,\n \"total_tokens\": 372,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_ffab8c3ad6\"\n}\n" + headers: + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db6d9d3cb3e27f6-EWR + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Fri, 13 Mar 2026 00:16:40 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '3686' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Researcher. You''re an + expert researcher, specialized in technology, software engineering, AI and startups. + You work as a freelancer and is now working on doing research and analysis for + a new customer.\nYour personal goal is: Make the best research and analysis + on content about AI and AI agents"},{"role":"user","content":"\nCurrent Task: + Generate a list of 5 interesting ideas to explore for an article.\n\nThis is + the expected criteria for your final answer: Your best answer to your coworker + asking you this, accounting for the context shared.\nyou MUST return the actual + complete content as the final answer, not a summary.\n\nThis is the context + you''re working with:\nWe need creative and engaging topics that are current + and have a broad appeal. Consider trending topics or evergreen themes that can + capture a wide audience.\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '942' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-DIkUeKwuiS9KOXP8tK1q724zQHhrg\",\n \"object\": + \"chat.completion\",\n \"created\": 1773360996,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Here are five interesting and timely + ideas to explore for an article that can engage a broad audience, especially + given the current landscape of AI and technology:\\n\\n1. **The Rise of Autonomous + AI Agents: How Intelligent Bots Are Changing Workflows Across Industries** + \ \\n Explore how AI agents\u2014self-directed software entities\u2014are + being integrated into business processes, from customer service chatbots to + autonomous data analysts. Discuss the benefits, challenges, and future implications + of these AI-driven workflows.\\n\\n2. **Beyond ChatGPT: The Next Generation + of AI Models and What They Mean for Everyday Users** \\n An in-depth look + at emerging AI models beyond the popular ones, focusing on advancements in + multi-modal AI, real-time learning agents, and personalized AI assistants. + Highlight how these innovations could transform everyday tasks and user experiences.\\n\\n3. + **Ethics in AI: Balancing Innovation and Responsibility in the Age of Intelligent + Machines** \\n A timely examination of ethical considerations surrounding + AI deployment\u2014privacy, bias, transparency, and accountability. Provide + examples of companies successfully implementing ethical AI practices and discuss + frameworks that can help guide responsible AI development.\\n\\n4. **AI for + Creative Minds: How Artificial Intelligence is Revolutionizing Art, Music, + and Writing** \\n Investigate how AI tools are collaborating with human + creativity in producing art, music, and literature. 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Return the list of ideas with their + paragraph and your notes.\\n\\nThis is the expected criteria for your final + answer: 5 bullet points with a paragraph for each idea.\\nyou MUST return the + actual complete content as the final answer, not a summary.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_WpDMT9puoRVrcOvAlMSfLutE\",\"type\":\"function\",\"function\":{\"name\":\"delegate_work_to_coworker\",\"arguments\":\"{\\\"task\\\": + \\\"Generate a list of 5 interesting ideas to explore for an article.\\\", \\\"context\\\": + \\\"We need creative and engaging topics that are current and have a broad appeal. + Consider trending topics or evergreen themes that can capture a wide audience.\\\", + \\\"coworker\\\": \\\"Researcher\\\"}\"}},{\"id\":\"call_gp08bFk7SulDl7vHkCoNx4cG\",\"type\":\"function\",\"function\":{\"name\":\"delegate_work_to_coworker\",\"arguments\":\"{\\\"task\\\": + \\\"Compile an amazing paragraph that highlights how an article could be engaging + for each idea provided by the Researcher.\\\", \\\"context\\\": \\\"The ideas + need to be compelling enough to capture the reader's attention right from the + start. 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Provide examples of companies successfully implementing ethical + AI practices and discuss frameworks that can help guide responsible AI development.\\n\\n4. + **AI for Creative Minds: How Artificial Intelligence is Revolutionizing Art, + Music, and Writing** \\n Investigate how AI tools are collaborating with + human creativity in producing art, music, and literature. 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If you have a small group of apples - and then you get more apples, to find out how many apples you have altogether, - you add them up! \\n\\n**Angle:** \\nTo teach this concept to a 6-year-old, - we can use tangible objects they can relate to, such as fruits, toys, or stickers. - Kids learn best through play and visual representation, so using real-life - examples will make the concept of addition exciting and engaging!\\n\\n**Examples:** - \ \\n1. **Using Fruits:** \\n - Start with 2 apples. \\n\\n \U0001F34F\U0001F34F - (2 apples)\\n\\n - Then, you receive 3 more apples. \\n\\n \U0001F34F\U0001F34F\U0001F34F - (3 apples)\\n\\n - To find out how many apples you have now, we add them - together: \\n\\n 2 + 3 = 5 \\n\\n - Show them the total by counting - all the apples together: \\n\\n \U0001F34F\U0001F34F\U0001F34F\U0001F34F\U0001F34F - (5 apples)\\n\\n2. **Using Toys:** \\n - Let\u2019s say there are 4 toy - cars. \\n\\n \U0001F697\U0001F697\U0001F697\U0001F697 (4 toy cars)\\n\\n - \ - If you get 2 more toy cars. \\n\\n \U0001F697\U0001F697 (2 toy cars)\\n\\n - \ - How many do we have in total? \\n\\n 4 + 2 = 6 \\n\\n - Count them - all together: \\n\\n \U0001F697\U0001F697\U0001F697\U0001F697\U0001F697\U0001F697 - (6 toy cars)\\n\\n3. **Using Stickers:** \\n - You have 5 stickers. \\n\\n - \ \U0001F31F\U0001F31F\U0001F31F\U0001F31F\U0001F31F (5 stickers)\\n\\n - \ - Your friend gives you 4 more stickers. \\n\\n \U0001F31F\U0001F31F\U0001F31F\U0001F31F - (4 stickers)\\n\\n - Now, let\u2019s see how many stickers you have in total: - \\n\\n 5 + 4 = 9 \\n\\n - Count them together: \\n\\n \U0001F31F\U0001F31F\U0001F31F\U0001F31F\U0001F31F\U0001F31F\U0001F31F\U0001F31F\U0001F31F - (9 stickers)\\n\\n**Conclusion:** \\nTry to make addition fun! Use snacks - or play time to practice addition. Ask questions during snack time, such as - \u201CIf you eat one of your 5 cookies, how many will you have left?\u201D - This approach makes learning relatable and enjoyable, enhancing their understanding - of math in everyday situations. Happy adding!\",\n \"refusal\": null,\n - \ \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": - \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": 182,\n \"completion_tokens\": - 561,\n \"total_tokens\": 743,\n \"prompt_tokens_details\": {\n \"cached_tokens\": - 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": - {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": - 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_44added55e\"\n}\n" - headers: - CF-RAY: - - CF-RAY-XXX - Connection: - - keep-alive - Content-Type: - - application/json - Date: - - Sat, 12 Apr 2025 21:26:36 GMT - Server: - - cloudflare - Set-Cookie: - - SET-COOKIE-XXX - Transfer-Encoding: - - chunked - X-Content-Type-Options: - - X-CONTENT-TYPE-XXX - access-control-expose-headers: - - ACCESS-CONTROL-XXX - alt-svc: - - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC - openai-organization: - - OPENAI-ORG-XXX - openai-processing-ms: - - '8640' - openai-version: - - '2020-10-01' - strict-transport-security: - - STS-XXX - x-ratelimit-limit-requests: - - X-RATELIMIT-LIMIT-REQUESTS-XXX - x-ratelimit-limit-tokens: - - X-RATELIMIT-LIMIT-TOKENS-XXX - x-ratelimit-remaining-requests: - - X-RATELIMIT-REMAINING-REQUESTS-XXX - x-ratelimit-remaining-tokens: - - X-RATELIMIT-REMAINING-TOKENS-XXX - x-ratelimit-reset-requests: - - X-RATELIMIT-RESET-REQUESTS-XXX - x-ratelimit-reset-tokens: - - X-RATELIMIT-RESET-TOKENS-XXX - x-request-id: - - X-REQUEST-ID-XXX - status: - code: 200 - message: OK - request: body: '{"input":["Research a topic to teach a kid aged 6 about math."],"model":"text-embedding-ada-002","encoding_format":"base64"}' headers: @@ -235,7 +35,7 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.5 + - 3.13.3 method: POST uri: https://api.openai.com/v1/embeddings response: @@ -245,44 +45,44 @@ interactions: \ }\n ],\n \"model\": \"text-embedding-ada-002-v2\",\n \"usage\": {\n \ \"prompt_tokens\": 13,\n \"total_tokens\": 13\n }\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + Access-Control-Allow-Origin: + - '*' + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db6cbffdaac42e6-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Thu, 12 Feb 2026 00:04:08 GMT + - Fri, 13 Mar 2026 00:07:11 GMT Server: - cloudflare + Strict-Transport-Security: + - STS-XXX Transfer-Encoding: - chunked + Via: + - envoy-router-canary-79f759bb4d-l4tpd X-Content-Type-Options: - X-CONTENT-TYPE-XXX - access-control-allow-origin: - - '*' access-control-expose-headers: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-model: - text-embedding-ada-002-v2 openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '56' + - '52' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' set-cookie: - SET-COOKIE-XXX - strict-transport-security: - - STS-XXX - via: - - envoy-router-canary-674d76db4d-h8k5z x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -303,24 +103,27 @@ interactions: code: 200 message: OK - request: - body: '{"messages":[{"role":"system","content":"You are Researcher. You''re an - expert in research and you love to learn new things.\nYour personal goal is: - You research about math."},{"role":"user","content":"\nCurrent Task: Research - a topic to teach a kid aged 6 about math.\n\nThis is the expected criteria for - your final answer: A topic, explanation, angle, and examples.\nyou MUST return - the actual complete content as the final answer, not a summary."}],"model":"gpt-4.1-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_memory","description":"Search - through the team''s shared memory for relevant information. Use this when you - need to find facts, decisions, preferences, or past results that may have been - stored previously. The query should describe what you''re looking for in natural - language.","strict":true,"parameters":{"properties":{"query":{"description":"What - to search for in memory","title":"Query","type":"string"},"scope":{"default":null,"description":"Optional - scope to narrow the search (e.g. /project/alpha)","title":"Scope","type":"string"},"depth":{"default":"shallow","description":"''shallow'' - for fast vector search, ''deep'' for LLM-analyzed retrieval","title":"Depth","type":"string"}},"required":["query","scope","depth"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"save_to_memory","description":"Store - an important fact, decision, observation, or lesson in memory so it can be recalled - later by you or other agents. Use this when you encounter something worth remembering - beyond the current task -- a decision made, a preference discovered, a key finding, - or a correction.","strict":true,"parameters":{"properties":{"content":{"description":"The - fact, decision, or observation to remember","title":"Content","type":"string"}},"required":["content"],"type":"object","additionalProperties":false}}}]}' + body: "{\"messages\":[{\"role\":\"system\",\"content\":\"You are Researcher. You're + an expert in research and you love to learn new things.\\nYour personal goal + is: You research about math.\"},{\"role\":\"user\",\"content\":\"\\nCurrent + Task: Research a topic to teach a kid aged 6 about math.\\n\\nThis is the expected + criteria for your final answer: A topic, explanation, angle, and examples.\\nyou + MUST return the actual complete content as the final answer, not a summary.\"}],\"model\":\"gpt-4.1-mini\",\"tool_choice\":\"auto\",\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"search_memory\",\"description\":\"Search + through the team's shared memory for relevant information. Pass one or more + queries to search for multiple things at once. Use this when you need to find + facts, decisions, preferences, or past results that may have been stored previously. + IMPORTANT: For questions that require counting, summing, or listing items across + multiple conversations (e.g. 'how many X', 'total Y', 'list all Z'), you MUST + search multiple times with different phrasings to ensure you find ALL relevant + items before giving a final count or total. Do not rely on a single search \u2014 + items may be described differently across conversations.\",\"strict\":true,\"parameters\":{\"properties\":{\"queries\":{\"description\":\"One + or more search queries. Pass a single item for a focused search, or multiple + items to search for several things at once.\",\"items\":{\"type\":\"string\"},\"title\":\"Queries\",\"type\":\"array\"}},\"required\":[\"queries\"],\"type\":\"object\",\"additionalProperties\":false}}},{\"type\":\"function\",\"function\":{\"name\":\"save_to_memory\",\"description\":\"Store + one or more important facts, decisions, observations, or lessons in memory so + they can be recalled later by you or other agents. Pass multiple items at once + when you have several things worth remembering.\",\"strict\":true,\"parameters\":{\"properties\":{\"contents\":{\"description\":\"One + or more facts, decisions, or observations to remember. Pass a single item or + multiple items at once.\",\"items\":{\"type\":\"string\"},\"title\":\"Contents\",\"type\":\"array\"}},\"required\":[\"contents\"],\"type\":\"object\",\"additionalProperties\":false}}}]}" headers: User-Agent: - X-USER-AGENT-XXX @@ -333,7 +136,7 @@ interactions: connection: - keep-alive content-length: - - '1891' + - '2112' content-type: - application/json host: @@ -355,45 +158,56 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.5 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D8EThE9745FYd7EG944F0wlXQ3pSC\",\n \"object\": - \"chat.completion\",\n \"created\": 1770854649,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-DIkLXo6E4R6zUcObTfeEFUmTFKCMo\",\n \"object\": + \"chat.completion\",\n \"created\": 1773360431,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Topic: Counting and Numbers\\n\\nExplanation:\\nCounting - and numbers form the foundation of math. For a 6-year-old, it's important - to understand that numbers represent how many things there are. We use counting - to know the total number of objects in a group. Counting starts from one and - goes on, one number after another. \\n\\nAngle:\\nMake counting fun and interactive. - Use things that the child likes \u2013 toys, fruits, or favorite snacks \u2013 - to make the idea of numbers relatable. Use fingers or draw dots to visually - show the numbers and quantities. Explain that each number has a special name - and shows how many items are in a group.\\n\\nExamples:\\n1. Counting toys: - \\\"Let's count your teddy bears. One, two, three teddy bears!\\\"\\n2. Counting - fruits: \\\"How many apples do we have? One, two, three apples!\\\"\\n3. Finger - counting: Use fingers to show numbers \u2014 \\\"This is one finger, two fingers, - three fingers!\\\"\\n4. Dot drawing: Draw dots on paper and count them \u2014 - \\\"Look, one dot, two dots, three dots!\\\"\\n\\nThis way, the child learns - that numbers are everywhere and they help us count and understand amounts!\",\n - \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": - null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 318,\n \"completion_tokens\": 237,\n \"total_tokens\": 555,\n \"prompt_tokens_details\": + \"assistant\",\n \"content\": \"Topic: Understanding Numbers and Counting\\n\\nExplanation:\\nFor + a 6-year-old child, the foundation of math begins with understanding what + numbers are and how to count. Numbers are symbols that represent quantities + or amounts. Counting is the process of saying numbers in order to find out + how many objects there are. Teaching this concept helps the child grasp the + idea of quantity and the relationship between numbers.\\n\\nAngle:\\nMake + counting fun and relatable by using everyday objects the child is familiar + with, such as toys, fruits, or blocks. Use a story or a game to engage the + child and encourage active participation. For example, you can create a counting + game where the child has to count the number of apples in a basket or the + number of steps while climbing stairs.\\n\\nExamples:\\n1. Counting Toys: + Gather different toys and ask the child to count them one by one. \\\"Let's + count how many toy cars you have. One, two, three, four, five. You have five + toy cars!\\\"\\n2. Counting Fruits: Show the child a bowl of fruits and count + together. \\\"Look at these apples! Let's count them. One apple, two apples, + three apples. There are three apples in the bowl.\\\"\\n3. Steps Counting + Game: When going up or down stairs, count each step aloud with the child. + \\\"Step one, step two, step three. Let's see how many steps it takes to reach + the door.\\\"\\n4. Story Counting: Create a simple story involving animals + or characters where the child counts items along the way. \\\"There are three + little ducks swimming in the pond. One duck goes to the shore, how many are + left? Two ducks.\\\"\\n\\nBy incorporating counting into daily activities + and encouraging hands-on practice, the child will develop a strong sense of + numbers and counting, which is a fundamental skill in math.\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 351,\n \"completion_tokens\": 362,\n \"total_tokens\": 713,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_5e793402c9\"\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db6cc075aba7d05-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Thu, 12 Feb 2026 00:04:14 GMT + - Fri, 13 Mar 2026 00:07:16 GMT Server: - cloudflare Strict-Transport-Security: @@ -406,12 +220,10 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '4874' + - '5026' openai-project: - OPENAI-PROJECT-XXX openai-version: @@ -438,44 +250,64 @@ interactions: code: 200 message: OK - request: - body: "{\"messages\":[{\"role\":\"system\",\"content\":\"You analyze content to - be stored in a hierarchical memory system.\\nGiven the content and the existing - scopes and categories, output:\\n1. suggested_scope: The best matching existing - scope path, or a new path if none fit (use / for root).\\n2. categories: A list - of categories (reuse existing when relevant, add new ones if needed).\\n3. importance: - A number from 0.0 to 1.0 indicating how significant this memory is.\\n4. extracted_metadata: - A JSON object with any entities, dates, or topics you can extract.\"},{\"role\":\"user\",\"content\":\"Content - to store:\\nTask: Research a topic to teach a kid aged 6 about math.\\nAgent: - Researcher\\nExpected result: A topic, explanation, angle, and examples.\\nResult: - Topic: Counting and Numbers\\n\\nExplanation:\\nCounting and numbers form the - foundation of math. For a 6-year-old, it's important to understand that numbers - represent how many things there are. We use counting to know the total number - of objects in a group. Counting starts from one and goes on, one number after - another. \\n\\nAngle:\\nMake counting fun and interactive. Use things that the - child likes \u2013 toys, fruits, or favorite snacks \u2013 to make the idea - of numbers relatable. Use fingers or draw dots to visually show the numbers - and quantities. Explain that each number has a special name and shows how many - items are in a group.\\n\\nExamples:\\n1. Counting toys: \\\"Let's count your - teddy bears. One, two, three teddy bears!\\\"\\n2. Counting fruits: \\\"How - many apples do we have? One, two, three apples!\\\"\\n3. Finger counting: Use - fingers to show numbers \u2014 \\\"This is one finger, two fingers, three fingers!\\\"\\n4. - Dot drawing: Draw dots on paper and count them \u2014 \\\"Look, one dot, two - dots, three dots!\\\"\\n\\nThis way, the child learns that numbers are everywhere - and they help us count and understand amounts!\\n\\nExisting scopes: ['/']\\nExisting - categories: []\\n\\nReturn the analysis as structured output.\"}],\"model\":\"gpt-4o-mini\",\"response_format\":{\"type\":\"json_schema\",\"json_schema\":{\"schema\":{\"$defs\":{\"ExtractedMetadata\":{\"additionalProperties\":false,\"description\":\"Fixed - schema for LLM-extracted metadata (OpenAI requires additionalProperties: false).\",\"properties\":{\"entities\":{\"description\":\"Entities - (people, orgs, places) mentioned in the content.\",\"items\":{\"type\":\"string\"},\"title\":\"Entities\",\"type\":\"array\"},\"dates\":{\"description\":\"Dates - or time references in the content.\",\"items\":{\"type\":\"string\"},\"title\":\"Dates\",\"type\":\"array\"},\"topics\":{\"description\":\"Topics - or themes in the content.\",\"items\":{\"type\":\"string\"},\"title\":\"Topics\",\"type\":\"array\"}},\"title\":\"ExtractedMetadata\",\"type\":\"object\",\"required\":[\"entities\",\"dates\",\"topics\"]}},\"description\":\"LLM - output for analyzing content before saving to memory.\",\"properties\":{\"suggested_scope\":{\"description\":\"Best - matching existing scope or new path (e.g. /company/decisions).\",\"title\":\"Suggested - Scope\",\"type\":\"string\"},\"categories\":{\"description\":\"Categories for - the memory (prefer existing, add new if needed).\",\"items\":{\"type\":\"string\"},\"title\":\"Categories\",\"type\":\"array\"},\"importance\":{\"default\":0.5,\"description\":\"Importance - score from 0.0 to 1.0.\",\"maximum\":1.0,\"minimum\":0.0,\"title\":\"Importance\",\"type\":\"number\"},\"extracted_metadata\":{\"description\":\"Entities, - dates, topics extracted from the content.\",\"additionalProperties\":false,\"properties\":{\"entities\":{\"description\":\"Entities - (people, orgs, places) mentioned in the content.\",\"items\":{\"type\":\"string\"},\"title\":\"Entities\",\"type\":\"array\"},\"dates\":{\"description\":\"Dates - or time references in the content.\",\"items\":{\"type\":\"string\"},\"title\":\"Dates\",\"type\":\"array\"},\"topics\":{\"description\":\"Topics - or themes in the content.\",\"items\":{\"type\":\"string\"},\"title\":\"Topics\",\"type\":\"array\"}},\"title\":\"ExtractedMetadata\",\"type\":\"object\",\"required\":[\"entities\",\"dates\",\"topics\"]}},\"required\":[\"suggested_scope\",\"categories\",\"importance\",\"extracted_metadata\"],\"title\":\"MemoryAnalysis\",\"type\":\"object\",\"additionalProperties\":false},\"name\":\"MemoryAnalysis\",\"strict\":true}},\"stream\":false}" + body: "{\"messages\":[{\"role\":\"system\",\"content\":\"You extract discrete, + reusable memory statements from raw content (e.g. a task description and its + result, or a conversation between a user and an assistant).\\n\\nFor the given + content, output a list of memory statements. Each memory must:\\n- Be one clear + sentence or short statement\\n- Be understandable without the original context\\n- + Capture a decision, fact, outcome, preference, lesson, or observation worth + remembering\\n- NOT be a vague summary or a restatement of the task description\\n- + NOT duplicate the same idea in different words\\n\\nWhen the content is a conversation, + pay special attention to facts stated by the user (first-person statements). + These personal facts are HIGH PRIORITY and must always be extracted:\\n- What + the user did, bought, made, visited, attended, or completed\\n- Names of people, + pets, places, brands, and specific items the user mentions\\n- Quantities, durations, + dates, and measurements the user states\\n- Subordinate clauses and casual asides + often contain important personal details (e.g. \\\"by the way, it took me 4 + hours\\\" or \\\"my Golden Retriever Max\\\")\\n\\nPreserve exact names and + numbers \u2014 never generalize (e.g. keep \\\"lavender gin fizz\\\" not just + \\\"cocktail\\\", keep \\\"12 largemouth bass\\\" not just \\\"fish caught\\\", + keep \\\"Golden Retriever\\\" not just \\\"dog\\\").\\n\\nAdditional extraction + rules:\\n- Presupposed facts: When the user reveals a fact indirectly in a question + (e.g. \\\"What collar suits a Golden Retriever like Max?\\\" presupposes Max + is a Golden Retriever), extract that fact as a separate memory.\\n- Date precision: + Always preserve the full date including day-of-month when stated (e.g. \\\"February + 14th\\\" not just \\\"February\\\", \\\"March 5\\\" not just \\\"March\\\").\\n- + Life events in passing: When the user mentions a life event (birth, wedding, + graduation, move, adoption) while discussing something else, extract the life + event as its own memory (e.g. \\\"my friend David had a baby boy named Jasper\\\" + is a birth fact, even if mentioned while planning to send congratulations).\\n\\nIf + there is nothing worth remembering (e.g. empty result, no decisions or facts), + return an empty list.\\nOutput a JSON object with a single key \\\"memories\\\" + whose value is a list of strings.\"},{\"role\":\"user\",\"content\":\"Content:\\nTask: + Research a topic to teach a kid aged 6 about math.\\nAgent: Researcher\\nExpected + result: A topic, explanation, angle, and examples.\\nResult: Topic: Understanding + Numbers and Counting\\n\\nExplanation:\\nFor a 6-year-old child, the foundation + of math begins with understanding what numbers are and how to count. Numbers + are symbols that represent quantities or amounts. Counting is the process of + saying numbers in order to find out how many objects there are. Teaching this + concept helps the child grasp the idea of quantity and the relationship between + numbers.\\n\\nAngle:\\nMake counting fun and relatable by using everyday objects + the child is familiar with, such as toys, fruits, or blocks. Use a story or + a game to engage the child and encourage active participation. For example, + you can create a counting game where the child has to count the number of apples + in a basket or the number of steps while climbing stairs.\\n\\nExamples:\\n1. + Counting Toys: Gather different toys and ask the child to count them one by + one. \\\"Let's count how many toy cars you have. One, two, three, four, five. + You have five toy cars!\\\"\\n2. Counting Fruits: Show the child a bowl of fruits + and count together. \\\"Look at these apples! Let's count them. One apple, two + apples, three apples. There are three apples in the bowl.\\\"\\n3. Steps Counting + Game: When going up or down stairs, count each step aloud with the child. \\\"Step + one, step two, step three. Let's see how many steps it takes to reach the door.\\\"\\n4. + Story Counting: Create a simple story involving animals or characters where + the child counts items along the way. \\\"There are three little ducks swimming + in the pond. One duck goes to the shore, how many are left? Two ducks.\\\"\\n\\nBy + incorporating counting into daily activities and encouraging hands-on practice, + the child will develop a strong sense of numbers and counting, which is a fundamental + skill in math.\\n\\nExtract memory statements as described. Return structured + output.\"}],\"model\":\"gpt-4o-mini\",\"response_format\":{\"type\":\"json_schema\",\"json_schema\":{\"schema\":{\"description\":\"LLM + output for extracting discrete memories from raw content.\",\"properties\":{\"memories\":{\"description\":\"List + of discrete, self-contained memory statements extracted from the content.\",\"items\":{\"type\":\"string\"},\"title\":\"Memories\",\"type\":\"array\"}},\"title\":\"ExtractedMemories\",\"type\":\"object\",\"additionalProperties\":false,\"required\":[\"memories\"]},\"name\":\"ExtractedMemories\",\"strict\":true}},\"stream\":false}" headers: User-Agent: - X-USER-AGENT-XXX @@ -488,7 +320,277 @@ interactions: connection: - keep-alive content-length: - - '4039' + - '4786' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-helper-method: + - beta.chat.completions.parse + x-stainless-lang: + - python + x-stainless-os: + - 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9db6cc4cea5a1492-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Thu, 12 Feb 2026 00:04:17 GMT + - Fri, 13 Mar 2026 00:07:23 GMT Server: - cloudflare Strict-Transport-Security: @@ -556,18 +655,14 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '3064' + - '1175' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - set-cookie: - - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -588,23 +683,30 @@ interactions: code: 200 message: OK - request: - body: "{\"input\":[\"Task: Research a topic to teach a kid aged 6 about math.\\nAgent: - Researcher\\nExpected result: A topic, explanation, angle, and examples.\\nResult: - Topic: Counting and Numbers\\n\\nExplanation:\\nCounting and numbers form the - foundation of math. For a 6-year-old, it's important to understand that numbers - represent how many things there are. We use counting to know the total number - of objects in a group. Counting starts from one and goes on, one number after - another. \\n\\nAngle:\\nMake counting fun and interactive. Use things that the - child likes \u2013 toys, fruits, or favorite snacks \u2013 to make the idea - of numbers relatable. Use fingers or draw dots to visually show the numbers - and quantities. Explain that each number has a special name and shows how many - items are in a group.\\n\\nExamples:\\n1. Counting toys: \\\"Let's count your - teddy bears. One, two, three teddy bears!\\\"\\n2. Counting fruits: \\\"How - many apples do we have? One, two, three apples!\\\"\\n3. 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extract."},{"role":"user","content":"Content + to store:\nA counting game can be created where the child counts the number + of apples in a basket or the number of steps while climbing stairs.\n\nExisting + scopes: [''/'']\nExisting categories: []\n\nReturn the analysis as structured + output."}],"model":"gpt-4o-mini","response_format":{"type":"json_schema","json_schema":{"schema":{"$defs":{"ExtractedMetadata":{"additionalProperties":false,"description":"Fixed + schema for LLM-extracted metadata (OpenAI requires additionalProperties: false).","properties":{"entities":{"description":"Entities + (people, orgs, places) mentioned in the content.","items":{"type":"string"},"title":"Entities","type":"array"},"dates":{"description":"Dates + or time references in the content.","items":{"type":"string"},"title":"Dates","type":"array"},"topics":{"description":"Topics + or themes in the 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content.","items":{"type":"string"},"title":"Entities","type":"array"},"dates":{"description":"Dates + or time references in the content.","items":{"type":"string"},"title":"Dates","type":"array"},"topics":{"description":"Topics + or themes in the content.","items":{"type":"string"},"title":"Topics","type":"array"}},"title":"ExtractedMetadata","type":"object","required":["entities","dates","topics"]}},"required":["suggested_scope","categories","importance","extracted_metadata"],"title":"MemoryAnalysis","type":"object","additionalProperties":false},"name":"MemoryAnalysis","strict":true}},"stream":false}' headers: User-Agent: - X-USER-AGENT-XXX @@ -617,7 +719,7 @@ interactions: connection: - keep-alive content-length: - - '1331' + - '2914' content-type: - application/json cookie: @@ -628,6 +730,8 @@ interactions: - X-STAINLESS-ARCH-XXX x-stainless-async: - 'false' + x-stainless-helper-method: + - beta.chat.completions.parse x-stainless-lang: - python x-stainless-os: @@ -641,54 +745,971 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DYNAMIC - CF-RAY: - - 8c85f2b7c92f1cf3-GRU + CF-Ray: + - 9db6cbea1bd29d36-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Tue, 24 Sep 2024 21:43:07 GMT + - Fri, 13 Mar 2026 00:07:08 GMT Server: - cloudflare + Strict-Transport-Security: + - STS-XXX Transfer-Encoding: - chunked X-Content-Type-Options: - - nosniff + - X-CONTENT-TYPE-XXX access-control-expose-headers: - - X-Request-ID + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 openai-organization: - - crewai-iuxna1 + - OPENAI-ORG-XXX openai-processing-ms: - - '939' + - '1357' + openai-project: + - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - strict-transport-security: - - max-age=31536000; includeSubDomains; preload + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 x-ratelimit-limit-requests: - - '10000' + - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: - - '30000000' + - X-RATELIMIT-LIMIT-TOKENS-XXX x-ratelimit-remaining-requests: - - '9999' + - X-RATELIMIT-REMAINING-REQUESTS-XXX x-ratelimit-remaining-tokens: - - '29999722' + - X-RATELIMIT-REMAINING-TOKENS-XXX x-ratelimit-reset-requests: - - 6ms + - X-RATELIMIT-RESET-REQUESTS-XXX x-ratelimit-reset-tokens: - - 0s + - X-RATELIMIT-RESET-TOKENS-XXX x-request-id: - - req_4a6962cfb5b3418a75c19cfc1c2e7227 + - X-REQUEST-ID-XXX status: code: 200 message: OK diff --git a/lib/crewai/tests/test_crew.py b/lib/crewai/tests/test_crew.py index adcdfda4c..f941a7965 100644 --- a/lib/crewai/tests/test_crew.py +++ b/lib/crewai/tests/test_crew.py @@ -1101,7 +1101,7 @@ def test_single_task_with_async_execution(): result = crew.kickoff() assert result.raw.startswith( - "- Ethical implications of AI in law enforcement and surveillance." + "- Impact of autonomous AI agents on future workplace automation" ) From b7af26ff605be45dc3a615bc4009a81287d434d0 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Fri, 13 Mar 2026 12:05:52 -0400 Subject: [PATCH 03/15] ci: add slack notification on successful pypi publish --- .github/workflows/publish.yml | 71 + .../test_before_kickoff_callback.yaml | 10 +- .../test_crew_kickoff_usage_metrics.yaml | 593 ++--- ...rarchical_verbose_false_manager_agent.yaml | 2363 +++++------------ ...st_hierarchical_verbose_manager_agent.yaml | 1183 +++------ 5 files changed, 1241 insertions(+), 2979 deletions(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 1b3000647..5097231b9 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -59,6 +59,8 @@ jobs: contents: read steps: - uses: actions/checkout@v4 + with: + ref: ${{ inputs.release_tag || github.ref }} - name: Install uv uses: astral-sh/setup-uv@v6 @@ -93,3 +95,72 @@ jobs: echo "Some packages failed to publish" exit 1 fi + + - name: Build Slack payload + if: success() + id: slack + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + RELEASE_TAG: ${{ inputs.release_tag }} + run: | + payload=$(uv run python -c " + import json, re, subprocess, sys + + with open('lib/crewai/src/crewai/__init__.py') as f: + m = re.search(r\"__version__\s*=\s*[\\\"']([^\\\"']+)\", f.read()) + version = m.group(1) if m else 'unknown' + + import os + tag = os.environ.get('RELEASE_TAG') or version + + try: + r = subprocess.run(['gh','release','view',tag,'--json','body','-q','.body'], + capture_output=True, text=True, check=True) + body = r.stdout.strip() + except Exception: + body = '' + + blocks = [ + {'type':'section','text':{'type':'mrkdwn', + 'text':f':rocket: \`crewai v{version}\` published to PyPI'}}, + {'type':'section','text':{'type':'mrkdwn', + 'text':f' · '}}, + {'type':'divider'}, + ] + + if body: + heading, items = '', [] + for line in body.split('\n'): + line = line.strip() + if not line: continue + hm = re.match(r'^#{2,3}\s+(.*)', line) + if hm: + if heading and items: + skip = heading in ('What\\'s Changed','') or 'Contributors' in heading + if not skip: + txt = f'*{heading}*\n' + '\n'.join(f'• {i}' for i in items) + blocks.append({'type':'section','text':{'type':'mrkdwn','text':txt}}) + heading, items = hm.group(1), [] + elif line.startswith('- ') or line.startswith('* '): + items.append(re.sub(r'\*\*([^*]*)\*\*', r'*\1*', line[2:])) + if heading and items: + skip = heading in ('What\\'s Changed','') or 'Contributors' in heading + if not skip: + txt = f'*{heading}*\n' + '\n'.join(f'• {i}' for i in items) + blocks.append({'type':'section','text':{'type':'mrkdwn','text':txt}}) + + blocks.append({'type':'divider'}) + blocks.append({'type':'section','text':{'type':'mrkdwn', + 'text':f'\`\`\`uv add \"crewai[tools]=={version}\"\`\`\`'}}) + + print(json.dumps({'blocks':blocks})) + ") + echo "payload=$payload" >> $GITHUB_OUTPUT + + - name: Notify Slack + if: success() + uses: slackapi/slack-github-action@v2.1.0 + with: + webhook: ${{ secrets.SLACK_WEBHOOK_URL }} + webhook-type: incoming-webhook + payload: ${{ steps.slack.outputs.payload }} diff --git a/lib/crewai/tests/cassettes/test_before_kickoff_callback.yaml b/lib/crewai/tests/cassettes/test_before_kickoff_callback.yaml index 05251afc2..5bd25552c 100644 --- a/lib/crewai/tests/cassettes/test_before_kickoff_callback.yaml +++ b/lib/crewai/tests/cassettes/test_before_kickoff_callback.yaml @@ -44,8 +44,8 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-DIjv3LqL0QS4iw3OM5b28B4VOMZPA\",\n \"object\": - \"chat.completion\",\n \"created\": 1773358789,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-DIqrxbdWncBetSyqX8P36UUXoil9d\",\n \"object\": + \"chat.completion\",\n \"created\": 1773385505,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"Test expected output\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n @@ -59,13 +59,13 @@ interactions: CF-Cache-Status: - DYNAMIC CF-Ray: - - 9db6a3f31e087b0e-EWR + - 9db9302f7f411efc-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Thu, 12 Mar 2026 23:39:50 GMT + - Fri, 13 Mar 2026 07:05:06 GMT Server: - cloudflare Strict-Transport-Security: @@ -81,7 +81,7 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '360' + - '376' openai-project: - OPENAI-PROJECT-XXX openai-version: diff --git a/lib/crewai/tests/cassettes/test_crew_kickoff_usage_metrics.yaml b/lib/crewai/tests/cassettes/test_crew_kickoff_usage_metrics.yaml index c316caf7c..337de4f6b 100644 --- a/lib/crewai/tests/cassettes/test_crew_kickoff_usage_metrics.yaml +++ b/lib/crewai/tests/cassettes/test_crew_kickoff_usage_metrics.yaml @@ -1,616 +1,331 @@ interactions: - request: - body: null + body: '{"messages":[{"role":"system","content":"You are dog Researcher. You have + a lot of experience with dog.\nYour personal goal is: Express hot takes on dog."},{"role":"user","content":"\nCurrent + Task: Give me an analysis around dog.\n\nThis is the expected criteria for your + final answer: 1 bullet point about dog that''s under 15 words.\nyou MUST return + the actual complete content as the final answer, not a summary.\n\nProvide your + complete response:"}],"model":"gpt-4o"}' headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate, zstd - Connection: - - keep-alive User-Agent: - - python-requests/2.32.2 - method: GET - uri: https://pypi.org/pypi/agentops/json - response: - body: - string: '{"info":{"author":null,"author_email":"Alex Reibman , Shawn Qiu , Braelyn Boynton , Howard Gil , Constantin Teodorescu , Pratyush Shukla ","bugtrack_url":null,"classifiers":["License :: OSI Approved :: MIT License","Operating System :: OS Independent","Programming Language :: Python :: 3","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Programming Language :: Python :: 3.9"],"description":"
\n \n \"Logo\"\n \n
\n\n
\n Observability and DevTool platform for AI Agents\n
\n\n
\n\n
\n \n \"Downloads\"\n \n \n \"git\n \n \"PyPI\n \n \"License:\n \n
\n\n

\n \n \"Twitter\"\n \n \n \"Discord\"\n \n \n \"Dashboard\"\n \n \n \"Documentation\"\n \n \n \"Chat\n \n

\n\n\n\n
\n \"Dashboard\n
\n\n
\n\n\nAgentOps helps developers build, evaluate, and monitor AI agents. From prototype to production.\n\n| | |\n| ------------------------------------- | ------------------------------------------------------------- |\n| 📊 **Replay Analytics and Debugging** | Step-by-step - agent execution graphs |\n| 💸 **LLM Cost Management** | Track spend with LLM foundation model providers |\n| 🧪 **Agent Benchmarking** | Test your agents against 1,000+ evals |\n| 🔐 **Compliance and Security** | Detect common prompt injection and data exfiltration exploits |\n| 🤝 **Framework Integrations** | Native Integrations with CrewAI, AG2(AutoGen), Camel AI, & LangChain |\n\n## Quick Start ⌨️\n\n```bash\npip install agentops\n```\n\n\n#### Session replays in 2 lines of code\n\nInitialize the AgentOps client and automatically get analytics on all your LLM calls.\n\n[Get an API key](https://app.agentops.ai/settings/projects)\n\n```python\nimport agentops\n\n# Beginning of your program (i.e. main.py, __init__.py)\nagentops.init( < INSERT YOUR API KEY HERE >)\n\n...\n\n# End of program\nagentops.end_session(''Success'')\n```\n\nAll your sessions can be viewed on the [AgentOps - dashboard](https://app.agentops.ai?ref=gh)\n
\n\n
\n Agent Debugging\n \n \"Agent\n \n \n \"Chat\n \n \n \"Event\n \n
\n\n
\n Session Replays\n \n \"Session\n \n
\n\n
\n Summary Analytics\n \n \"Summary\n \n \n \"Summary\n \n
\n\n\n### First class Developer Experience\nAdd powerful observability to your agents, tools, and functions with as little code as possible: one line at a time.\n
\nRefer to our [documentation](http://docs.agentops.ai)\n\n```python\n# Automatically associate all Events with the agent that originated them\nfrom agentops import track_agent\n\n@track_agent(name=''SomeCustomName'')\nclass MyAgent:\n ...\n```\n\n```python\n# Automatically create ToolEvents for tools that agents will use\nfrom agentops import record_tool\n\n@record_tool(''SampleToolName'')\ndef sample_tool(...):\n ...\n```\n\n```python\n# Automatically create ActionEvents for other functions.\nfrom agentops - import record_action\n\n@agentops.record_action(''sample function being record'')\ndef sample_function(...):\n ...\n```\n\n```python\n# Manually record any other Events\nfrom agentops import record, ActionEvent\n\nrecord(ActionEvent(\"received_user_input\"))\n```\n\n## Integrations 🦾\n\n### CrewAI 🛶\n\nBuild Crew agents with observability with only 2 lines of code. Simply set an `AGENTOPS_API_KEY` in your environment, and your crews will get automatic monitoring on the AgentOps dashboard.\n\n```bash\npip install ''crewai[agentops]''\n```\n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/crewai)\n- [Official CrewAI documentation](https://docs.crewai.com/how-to/AgentOps-Observability)\n\n### AG2 🤖\nWith only two lines of code, add full observability and monitoring to AG2 (formerly AutoGen) agents. Set an `AGENTOPS_API_KEY` in your environment and call `agentops.init()`\n\n- [AG2 Observability Example](https://docs.ag2.ai/notebooks/agentchat_agentops)\n- - [AG2 - AgentOps Documentation](https://docs.ag2.ai/docs/ecosystem/agentops)\n\n### Camel AI 🐪\n\nTrack and analyze CAMEL agents with full observability. Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get started.\n\n- [Camel AI](https://www.camel-ai.org/) - Advanced agent communication framework\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/camel)\n- [Official Camel AI documentation](https://docs.camel-ai.org/cookbooks/agents_tracking.html)\n\n
\n Installation\n\n```bash\npip install \"camel-ai[all]==0.2.11\"\npip install agentops\n```\n\n```python\nimport os\nimport agentops\nfrom camel.agents import ChatAgent\nfrom camel.messages import BaseMessage\nfrom camel.models import ModelFactory\nfrom camel.types import ModelPlatformType, ModelType\n\n# Initialize AgentOps\nagentops.init(os.getenv(\"AGENTOPS_API_KEY\"), default_tags=[\"CAMEL Example\"])\n\n# Import toolkits after AgentOps init for tracking\nfrom - camel.toolkits import SearchToolkit\n\n# Set up the agent with search tools\nsys_msg = BaseMessage.make_assistant_message(\n role_name=''Tools calling operator'',\n content=''You are a helpful assistant''\n)\n\n# Configure tools and model\ntools = [*SearchToolkit().get_tools()]\nmodel = ModelFactory.create(\n model_platform=ModelPlatformType.OPENAI,\n model_type=ModelType.GPT_4O_MINI,\n)\n\n# Create and run the agent\ncamel_agent = ChatAgent(\n system_message=sys_msg,\n model=model,\n tools=tools,\n)\n\nresponse = camel_agent.step(\"What is AgentOps?\")\nprint(response)\n\nagentops.end_session(\"Success\")\n```\n\nCheck out our [Camel integration guide](https://docs.agentops.ai/v1/integrations/camel) for more examples including multi-agent scenarios.\n
\n\n### Langchain 🦜🔗\n\nAgentOps works seamlessly with applications built using Langchain. To use the handler, install Langchain as an optional dependency:\n\n
\n Installation\n \n```shell\npip - install agentops[langchain]\n```\n\nTo use the handler, import and set\n\n```python\nimport os\nfrom langchain.chat_models import ChatOpenAI\nfrom langchain.agents import initialize_agent, AgentType\nfrom agentops.partners.langchain_callback_handler import LangchainCallbackHandler\n\nAGENTOPS_API_KEY = os.environ[''AGENTOPS_API_KEY'']\nhandler = LangchainCallbackHandler(api_key=AGENTOPS_API_KEY, tags=[''Langchain Example''])\n\nllm = ChatOpenAI(openai_api_key=OPENAI_API_KEY,\n callbacks=[handler],\n model=''gpt-3.5-turbo'')\n\nagent = initialize_agent(tools,\n llm,\n agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,\n verbose=True,\n callbacks=[handler], # You must pass in a callback handler to record your agent\n handle_parsing_errors=True)\n```\n\nCheck out the [Langchain Examples Notebook](./examples/langchain_examples.ipynb) for - more details including Async handlers.\n\n
\n\n### Cohere ⌨️\n\nFirst class support for Cohere(>=5.4.0). This is a living integration, should you need any added functionality please message us on Discord!\n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/cohere)\n- [Official Cohere documentation](https://docs.cohere.com/reference/about)\n\n
\n Installation\n \n```bash\npip install cohere\n```\n\n```python python\nimport cohere\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\nco = cohere.Client()\n\nchat = co.chat(\n message=\"Is it pronounced ceaux-hear or co-hehray?\"\n)\n\nprint(chat)\n\nagentops.end_session(''Success'')\n```\n\n```python python\nimport cohere\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nco = cohere.Client()\n\nstream = co.chat_stream(\n message=\"Write - me a haiku about the synergies between Cohere and AgentOps\"\n)\n\nfor event in stream:\n if event.event_type == \"text-generation\":\n print(event.text, end='''')\n\nagentops.end_session(''Success'')\n```\n
\n\n\n### Anthropic ﹨\n\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\n\n- [AgentOps integration guide](https://docs.agentops.ai/v1/integrations/anthropic)\n- [Official Anthropic documentation](https://docs.anthropic.com/en/docs/welcome)\n\n
\n Installation\n \n```bash\npip install anthropic\n```\n\n```python python\nimport anthropic\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = anthropic.Anthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\nmessage = client.messages.create(\n max_tokens=1024,\n messages=[\n {\n \"role\": \"user\",\n \"content\": - \"Tell me a cool fact about AgentOps\",\n }\n ],\n model=\"claude-3-opus-20240229\",\n )\nprint(message.content)\n\nagentops.end_session(''Success'')\n```\n\nStreaming\n```python python\nimport anthropic\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = anthropic.Anthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\nstream = client.messages.create(\n max_tokens=1024,\n model=\"claude-3-opus-20240229\",\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something cool about streaming agents\",\n }\n ],\n stream=True,\n)\n\nresponse = \"\"\nfor event in stream:\n if event.type == \"content_block_delta\":\n response += event.delta.text\n elif event.type == \"message_stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n```\n\nAsync\n\n```python - python\nimport asyncio\nfrom anthropic import AsyncAnthropic\n\nclient = AsyncAnthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.messages.create(\n max_tokens=1024,\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async agents\",\n }\n ],\n model=\"claude-3-opus-20240229\",\n )\n print(message.content)\n\n\nawait main()\n```\n
\n\n### Mistral 〽️\n\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\n\n- [AgentOps integration example](./examples/mistral//mistral_example.ipynb)\n- [Official Mistral documentation](https://docs.mistral.ai)\n\n
\n Installation\n \n```bash\npip install mistralai\n```\n\nSync\n\n```python python\nfrom mistralai import Mistral\nimport agentops\n\n# Beginning of program''s - code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\nmessage = client.chat.complete(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me a cool fact about AgentOps\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\nprint(message.choices[0].message.content)\n\nagentops.end_session(''Success'')\n```\n\nStreaming\n\n```python python\nfrom mistralai import Mistral\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\nmessage = client.chat.stream(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something cool - about streaming agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n\nresponse = \"\"\nfor event in message:\n if event.data.choices[0].finish_reason == \"stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n else:\n response += event.text\n\nagentops.end_session(''Success'')\n```\n\nAsync\n\n```python python\nimport asyncio\nfrom mistralai import Mistral\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.chat.complete_async(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n print(message.choices[0].message.content)\n\n\nawait main()\n```\n\nAsync Streaming\n\n```python python\nimport asyncio\nfrom mistralai - import Mistral\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.chat.stream_async(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async streaming agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n\n response = \"\"\n async for event in message:\n if event.data.choices[0].finish_reason == \"stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n else:\n response += event.text\n\n\nawait main()\n```\n
\n\n\n\n### CamelAI ﹨\n\nTrack agents built with the CamelAI Python SDK (>=0.32.0).\n\n- [CamelAI integration guide](https://docs.camel-ai.org/cookbooks/agents_tracking.html#)\n- [Official CamelAI documentation](https://docs.camel-ai.org/index.html)\n\n
\n Installation\n \n```bash\npip - install camel-ai[all]\npip install agentops\n```\n\n```python python\n#Import Dependencies\nimport agentops\nimport os\nfrom getpass import getpass\nfrom dotenv import load_dotenv\n\n#Set Keys\nload_dotenv()\nopenai_api_key = os.getenv(\"OPENAI_API_KEY\") or \"\"\nagentops_api_key = os.getenv(\"AGENTOPS_API_KEY\") or \"\"\n\n\n\n```\n
\n\n[You can find usage examples here!](examples/camelai_examples/README.md).\n\n\n\n### LiteLLM 🚅\n\nAgentOps provides support for LiteLLM(>=1.3.1), allowing you to call 100+ LLMs using the same Input/Output Format. \n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/litellm)\n- [Official LiteLLM documentation](https://docs.litellm.ai/docs/providers)\n\n
\n Installation\n \n```bash\npip install litellm\n```\n\n```python python\n# Do not use LiteLLM like this\n# from litellm import completion\n# ...\n# response = completion(model=\"claude-3\", - messages=messages)\n\n# Use LiteLLM like this\nimport litellm\n...\nresponse = litellm.completion(model=\"claude-3\", messages=messages)\n# or\nresponse = await litellm.acompletion(model=\"claude-3\", messages=messages)\n```\n
\n\n### LlamaIndex 🦙\n\n\nAgentOps works seamlessly with applications built using LlamaIndex, a framework for building context-augmented generative AI applications with LLMs.\n\n
\n Installation\n \n```shell\npip install llama-index-instrumentation-agentops\n```\n\nTo use the handler, import and set\n\n```python\nfrom llama_index.core import set_global_handler\n\n# NOTE: Feel free to set your AgentOps environment variables (e.g., ''AGENTOPS_API_KEY'')\n# as outlined in the AgentOps documentation, or pass the equivalent keyword arguments\n# anticipated by AgentOps'' AOClient as **eval_params in set_global_handler.\n\nset_global_handler(\"agentops\")\n```\n\nCheck out the [LlamaIndex docs](https://docs.llamaindex.ai/en/stable/module_guides/observability/?h=agentops#agentops) - for more details.\n\n
\n\n### Llama Stack 🦙🥞\n\nAgentOps provides support for Llama Stack Python Client(>=0.0.53), allowing you to monitor your Agentic applications. \n\n- [AgentOps integration example 1](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-fdddf65549f3714f8f007ce7dfd1cde720329fe54155d54389dd50fbd81813cb)\n- [AgentOps integration example 2](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-6688ff4fb7ab1ce7b1cc9b8362ca27264a3060c16737fb1d850305787a6e3699)\n- [Official Llama Stack Python Client](https://github.com/meta-llama/llama-stack-client-python)\n\n### SwarmZero AI 🐝\n\nTrack and analyze SwarmZero agents with full observability. Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get started.\n\n- [SwarmZero](https://swarmzero.ai) - Advanced multi-agent framework\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/swarmzero)\n- - [SwarmZero AI integration example](https://docs.swarmzero.ai/examples/ai-agents/build-and-monitor-a-web-search-agent)\n- [SwarmZero AI - AgentOps documentation](https://docs.swarmzero.ai/sdk/observability/agentops)\n- [Official SwarmZero Python SDK](https://github.com/swarmzero/swarmzero)\n\n
\n Installation\n\n```bash\npip install swarmzero\npip install agentops\n```\n\n```python\nfrom dotenv import load_dotenv\nload_dotenv()\n\nimport agentops\nagentops.init()\n\nfrom swarmzero import Agent, Swarm\n# ...\n```\n
\n\n## Time travel debugging 🔮\n\n
\n \"Time\n
\n\n
\n\n[Try it out!](https://app.agentops.ai/timetravel)\n\n## Agent Arena 🥊\n\n(coming soon!)\n\n## Evaluations Roadmap 🧭\n\n| Platform | Dashboard | - Evals |\n| ---------------------------------------------------------------------------- | ------------------------------------------ | -------------------------------------- |\n| ✅ Python SDK | ✅ Multi-session and Cross-session metrics | ✅ Custom eval metrics |\n| 🚧 Evaluation builder API | ✅ Custom event tag tracking  | 🔜 Agent scorecards |\n| ✅ [Javascript/Typescript SDK](https://github.com/AgentOps-AI/agentops-node) | ✅ Session replays | 🔜 Evaluation playground + leaderboard |\n\n## Debugging Roadmap 🧭\n\n| Performance testing | Environments | LLM Testing | Reasoning and execution testing |\n| ----------------------------------------- - | ----------------------------------------------------------------------------------- | ------------------------------------------- | ------------------------------------------------- |\n| ✅ Event latency analysis | 🔜 Non-stationary environment testing | 🔜 LLM non-deterministic function detection | 🚧 Infinite loops and recursive thought detection |\n| ✅ Agent workflow execution pricing | 🔜 Multi-modal environments | 🚧 Token limit overflow flags | 🔜 Faulty reasoning detection |\n| 🚧 Success validators (external) | 🔜 Execution containers | 🔜 Context limit overflow flags | 🔜 Generative code validators |\n| 🔜 Agent controllers/skill tests | ✅ Honeypot and prompt injection detection ([PromptArmor](https://promptarmor.com)) - | 🔜 API bill tracking | 🔜 Error breakpoint analysis |\n| 🔜 Information context constraint testing | 🔜 Anti-agent roadblocks (i.e. Captchas) | 🔜 CI/CD integration checks | |\n| 🔜 Regression testing | 🔜 Multi-agent framework visualization | | |\n\n### Why AgentOps? 🤔\n\nWithout the right tools, AI agents are slow, expensive, and unreliable. Our mission is to bring your agent from prototype to production. Here''s why AgentOps stands out:\n\n- **Comprehensive Observability**: Track your AI agents'' performance, user interactions, and API usage.\n- **Real-Time Monitoring**: Get instant insights with session replays, metrics, and live monitoring tools.\n- **Cost Control**: Monitor - and manage your spend on LLM and API calls.\n- **Failure Detection**: Quickly identify and respond to agent failures and multi-agent interaction issues.\n- **Tool Usage Statistics**: Understand how your agents utilize external tools with detailed analytics.\n- **Session-Wide Metrics**: Gain a holistic view of your agents'' sessions with comprehensive statistics.\n\nAgentOps is designed to make agent observability, testing, and monitoring easy.\n\n\n## Star History\n\nCheck out our growth in the community:\n\n\"Logo\"\n\n## Popular projects using AgentOps\n\n\n| Repository | Stars |\n| :-------- | -----: |\n|\"\"   [geekan](https://github.com/geekan) / [MetaGPT](https://github.com/geekan/MetaGPT) | 42787 |\n|\"\"   [run-llama](https://github.com/run-llama) / [llama_index](https://github.com/run-llama/llama_index) | 34446 |\n|\"\"   [crewAIInc](https://github.com/crewAIInc) / [crewAI](https://github.com/crewAIInc/crewAI) | 18287 |\n|\"\"   [camel-ai](https://github.com/camel-ai) / [camel](https://github.com/camel-ai/camel) | 5166 |\n|\"\"   [superagent-ai](https://github.com/superagent-ai) / [superagent](https://github.com/superagent-ai/superagent) | 5050 |\n|\"\"   [iyaja](https://github.com/iyaja) / [llama-fs](https://github.com/iyaja/llama-fs) | 4713 |\n|\"\"   [BasedHardware](https://github.com/BasedHardware) / [Omi](https://github.com/BasedHardware/Omi) | 2723 |\n|\"\"   [MervinPraison](https://github.com/MervinPraison) / [PraisonAI](https://github.com/MervinPraison/PraisonAI) | 2007 |\n|\"\"   [AgentOps-AI](https://github.com/AgentOps-AI) / [Jaiqu](https://github.com/AgentOps-AI/Jaiqu) | 272 |\n|\"\"   [swarmzero](https://github.com/swarmzero) / [swarmzero](https://github.com/swarmzero/swarmzero) | 195 |\n|\"\"   [strnad](https://github.com/strnad) / [CrewAI-Studio](https://github.com/strnad/CrewAI-Studio) | 134 |\n|\"\"   [alejandro-ao](https://github.com/alejandro-ao) / [exa-crewai](https://github.com/alejandro-ao/exa-crewai) | 55 |\n|\"\"   [tonykipkemboi](https://github.com/tonykipkemboi) / [youtube_yapper_trapper](https://github.com/tonykipkemboi/youtube_yapper_trapper) | 47 |\n|\"\"   [sethcoast](https://github.com/sethcoast) / [cover-letter-builder](https://github.com/sethcoast/cover-letter-builder) | 27 |\n|\"\"   [bhancockio](https://github.com/bhancockio) / [chatgpt4o-analysis](https://github.com/bhancockio/chatgpt4o-analysis) | 19 |\n|\"\"   [breakstring](https://github.com/breakstring) / [Agentic_Story_Book_Workflow](https://github.com/breakstring/Agentic_Story_Book_Workflow) | 14 |\n|\"\"   [MULTI-ON](https://github.com/MULTI-ON) / [multion-python](https://github.com/MULTI-ON/multion-python) | 13 |\n\n\n_Generated using [github-dependents-info](https://github.com/nvuillam/github-dependents-info), - by [Nicolas Vuillamy](https://github.com/nvuillam)_\n","description_content_type":"text/markdown","docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":null,"keywords":null,"license":null,"license_expression":null,"license_files":["LICENSE"],"maintainer":null,"maintainer_email":null,"name":"agentops","package_url":"https://pypi.org/project/agentops/","platform":null,"project_url":"https://pypi.org/project/agentops/","project_urls":{"Homepage":"https://github.com/AgentOps-AI/agentops","Issues":"https://github.com/AgentOps-AI/agentops/issues"},"provides_extra":null,"release_url":"https://pypi.org/project/agentops/0.3.26/","requires_dist":["opentelemetry-api==1.22.0; python_version < \"3.10\"","opentelemetry-api>=1.27.0; python_version >= \"3.10\"","opentelemetry-exporter-otlp-proto-http==1.22.0; python_version < 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You have + a lot of experience with cat.\nYour personal goal is: Express hot takes on cat."},{"role":"user","content":"\nCurrent + Task: Give me an analysis around cat.\n\nThis is the expected criteria for your + final answer: 1 bullet point about cat that''s under 15 words.\nyou MUST return + the actual complete content as the final answer, not a summary.\n\nProvide your + complete response:"}],"model":"gpt-4o"}' headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate, zstd - Connection: - - keep-alive User-Agent: - - python-requests/2.32.2 - method: GET - uri: https://pypi.org/pypi/agentops/json - response: - body: - string: '{"info":{"author":null,"author_email":"Alex Reibman , Shawn Qiu , Braelyn Boynton , Howard Gil , Constantin Teodorescu , Pratyush Shukla ","bugtrack_url":null,"classifiers":["License :: OSI Approved :: MIT License","Operating System :: OS Independent","Programming Language :: Python :: 3","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Programming Language :: Python :: 3.9"],"description":"
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\n Observability and DevTool platform for AI Agents\n
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\n \n \"Downloads\"\n \n \n \"git\n \n \"PyPI\n \n \"License:\n \n
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\n \n \"Twitter\"\n \n \n \"Discord\"\n \n \n \"Dashboard\"\n \n \n \"Documentation\"\n \n \n \"Chat\n \n

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\n\n\nAgentOps helps developers build, evaluate, and monitor AI agents. From prototype to production.\n\n| | |\n| ------------------------------------- | ------------------------------------------------------------- |\n| 📊 **Replay Analytics and Debugging** | Step-by-step - agent execution graphs |\n| 💸 **LLM Cost Management** | Track spend with LLM foundation model providers |\n| 🧪 **Agent Benchmarking** | Test your agents against 1,000+ evals |\n| 🔐 **Compliance and Security** | Detect common prompt injection and data exfiltration exploits |\n| 🤝 **Framework Integrations** | Native Integrations with CrewAI, AG2(AutoGen), Camel AI, & LangChain |\n\n## Quick Start ⌨️\n\n```bash\npip install agentops\n```\n\n\n#### Session replays in 2 lines of code\n\nInitialize the AgentOps client and automatically get analytics on all your LLM calls.\n\n[Get an API key](https://app.agentops.ai/settings/projects)\n\n```python\nimport agentops\n\n# Beginning of your program (i.e. main.py, __init__.py)\nagentops.init( < INSERT YOUR API KEY HERE >)\n\n...\n\n# End of program\nagentops.end_session(''Success'')\n```\n\nAll your sessions can be viewed on the [AgentOps - dashboard](https://app.agentops.ai?ref=gh)\n
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\n Agent Debugging\n \n \"Agent\n \n \n \"Chat\n \n \n \"Event\n \n
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\n Session Replays\n \n \"Session\n \n
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\n Summary Analytics\n \n \"Summary\n \n \n \"Summary\n \n
\n\n\n### First class Developer Experience\nAdd powerful observability to your agents, tools, and functions with as little code as possible: one line at a time.\n
\nRefer to our [documentation](http://docs.agentops.ai)\n\n```python\n# Automatically associate all Events with the agent that originated them\nfrom agentops import track_agent\n\n@track_agent(name=''SomeCustomName'')\nclass MyAgent:\n ...\n```\n\n```python\n# Automatically create ToolEvents for tools that agents will use\nfrom agentops import record_tool\n\n@record_tool(''SampleToolName'')\ndef sample_tool(...):\n ...\n```\n\n```python\n# Automatically create ActionEvents for other functions.\nfrom agentops - import record_action\n\n@agentops.record_action(''sample function being record'')\ndef sample_function(...):\n ...\n```\n\n```python\n# Manually record any other Events\nfrom agentops import record, ActionEvent\n\nrecord(ActionEvent(\"received_user_input\"))\n```\n\n## Integrations 🦾\n\n### CrewAI 🛶\n\nBuild Crew agents with observability with only 2 lines of code. Simply set an `AGENTOPS_API_KEY` in your environment, and your crews will get automatic monitoring on the AgentOps dashboard.\n\n```bash\npip install ''crewai[agentops]''\n```\n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/crewai)\n- [Official CrewAI documentation](https://docs.crewai.com/how-to/AgentOps-Observability)\n\n### AG2 🤖\nWith only two lines of code, add full observability and monitoring to AG2 (formerly AutoGen) agents. Set an `AGENTOPS_API_KEY` in your environment and call `agentops.init()`\n\n- [AG2 Observability Example](https://docs.ag2.ai/notebooks/agentchat_agentops)\n- - [AG2 - AgentOps Documentation](https://docs.ag2.ai/docs/ecosystem/agentops)\n\n### Camel AI 🐪\n\nTrack and analyze CAMEL agents with full observability. Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get started.\n\n- [Camel AI](https://www.camel-ai.org/) - Advanced agent communication framework\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/camel)\n- [Official Camel AI documentation](https://docs.camel-ai.org/cookbooks/agents_tracking.html)\n\n
\n Installation\n\n```bash\npip install \"camel-ai[all]==0.2.11\"\npip install agentops\n```\n\n```python\nimport os\nimport agentops\nfrom camel.agents import ChatAgent\nfrom camel.messages import BaseMessage\nfrom camel.models import ModelFactory\nfrom camel.types import ModelPlatformType, ModelType\n\n# Initialize AgentOps\nagentops.init(os.getenv(\"AGENTOPS_API_KEY\"), default_tags=[\"CAMEL Example\"])\n\n# Import toolkits after AgentOps init for tracking\nfrom - camel.toolkits import SearchToolkit\n\n# Set up the agent with search tools\nsys_msg = BaseMessage.make_assistant_message(\n role_name=''Tools calling operator'',\n content=''You are a helpful assistant''\n)\n\n# Configure tools and model\ntools = [*SearchToolkit().get_tools()]\nmodel = ModelFactory.create(\n model_platform=ModelPlatformType.OPENAI,\n model_type=ModelType.GPT_4O_MINI,\n)\n\n# Create and run the agent\ncamel_agent = ChatAgent(\n system_message=sys_msg,\n model=model,\n tools=tools,\n)\n\nresponse = camel_agent.step(\"What is AgentOps?\")\nprint(response)\n\nagentops.end_session(\"Success\")\n```\n\nCheck out our [Camel integration guide](https://docs.agentops.ai/v1/integrations/camel) for more examples including multi-agent scenarios.\n
\n\n### Langchain 🦜🔗\n\nAgentOps works seamlessly with applications built using Langchain. To use the handler, install Langchain as an optional dependency:\n\n
\n Installation\n \n```shell\npip - install agentops[langchain]\n```\n\nTo use the handler, import and set\n\n```python\nimport os\nfrom langchain.chat_models import ChatOpenAI\nfrom langchain.agents import initialize_agent, AgentType\nfrom agentops.partners.langchain_callback_handler import LangchainCallbackHandler\n\nAGENTOPS_API_KEY = os.environ[''AGENTOPS_API_KEY'']\nhandler = LangchainCallbackHandler(api_key=AGENTOPS_API_KEY, tags=[''Langchain Example''])\n\nllm = ChatOpenAI(openai_api_key=OPENAI_API_KEY,\n callbacks=[handler],\n model=''gpt-3.5-turbo'')\n\nagent = initialize_agent(tools,\n llm,\n agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,\n verbose=True,\n callbacks=[handler], # You must pass in a callback handler to record your agent\n handle_parsing_errors=True)\n```\n\nCheck out the [Langchain Examples Notebook](./examples/langchain_examples.ipynb) for - more details including Async handlers.\n\n
\n\n### Cohere ⌨️\n\nFirst class support for Cohere(>=5.4.0). This is a living integration, should you need any added functionality please message us on Discord!\n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/cohere)\n- [Official Cohere documentation](https://docs.cohere.com/reference/about)\n\n
\n Installation\n \n```bash\npip install cohere\n```\n\n```python python\nimport cohere\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\nco = cohere.Client()\n\nchat = co.chat(\n message=\"Is it pronounced ceaux-hear or co-hehray?\"\n)\n\nprint(chat)\n\nagentops.end_session(''Success'')\n```\n\n```python python\nimport cohere\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nco = cohere.Client()\n\nstream = co.chat_stream(\n message=\"Write - me a haiku about the synergies between Cohere and AgentOps\"\n)\n\nfor event in stream:\n if event.event_type == \"text-generation\":\n print(event.text, end='''')\n\nagentops.end_session(''Success'')\n```\n
\n\n\n### Anthropic ﹨\n\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\n\n- [AgentOps integration guide](https://docs.agentops.ai/v1/integrations/anthropic)\n- [Official Anthropic documentation](https://docs.anthropic.com/en/docs/welcome)\n\n
\n Installation\n \n```bash\npip install anthropic\n```\n\n```python python\nimport anthropic\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = anthropic.Anthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\nmessage = client.messages.create(\n max_tokens=1024,\n messages=[\n {\n \"role\": \"user\",\n \"content\": - \"Tell me a cool fact about AgentOps\",\n }\n ],\n model=\"claude-3-opus-20240229\",\n )\nprint(message.content)\n\nagentops.end_session(''Success'')\n```\n\nStreaming\n```python python\nimport anthropic\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = anthropic.Anthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\nstream = client.messages.create(\n max_tokens=1024,\n model=\"claude-3-opus-20240229\",\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something cool about streaming agents\",\n }\n ],\n stream=True,\n)\n\nresponse = \"\"\nfor event in stream:\n if event.type == \"content_block_delta\":\n response += event.delta.text\n elif event.type == \"message_stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n```\n\nAsync\n\n```python - python\nimport asyncio\nfrom anthropic import AsyncAnthropic\n\nclient = AsyncAnthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.messages.create(\n max_tokens=1024,\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async agents\",\n }\n ],\n model=\"claude-3-opus-20240229\",\n )\n print(message.content)\n\n\nawait main()\n```\n
\n\n### Mistral 〽️\n\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\n\n- [AgentOps integration example](./examples/mistral//mistral_example.ipynb)\n- [Official Mistral documentation](https://docs.mistral.ai)\n\n
\n Installation\n \n```bash\npip install mistralai\n```\n\nSync\n\n```python python\nfrom mistralai import Mistral\nimport agentops\n\n# Beginning of program''s - code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\nmessage = client.chat.complete(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me a cool fact about AgentOps\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\nprint(message.choices[0].message.content)\n\nagentops.end_session(''Success'')\n```\n\nStreaming\n\n```python python\nfrom mistralai import Mistral\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\nmessage = client.chat.stream(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something cool - about streaming agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n\nresponse = \"\"\nfor event in message:\n if event.data.choices[0].finish_reason == \"stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n else:\n response += event.text\n\nagentops.end_session(''Success'')\n```\n\nAsync\n\n```python python\nimport asyncio\nfrom mistralai import Mistral\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.chat.complete_async(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n print(message.choices[0].message.content)\n\n\nawait main()\n```\n\nAsync Streaming\n\n```python python\nimport asyncio\nfrom mistralai - import Mistral\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.chat.stream_async(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async streaming agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n\n response = \"\"\n async for event in message:\n if event.data.choices[0].finish_reason == \"stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n else:\n response += event.text\n\n\nawait main()\n```\n
\n\n\n\n### CamelAI ﹨\n\nTrack agents built with the CamelAI Python SDK (>=0.32.0).\n\n- [CamelAI integration guide](https://docs.camel-ai.org/cookbooks/agents_tracking.html#)\n- [Official CamelAI documentation](https://docs.camel-ai.org/index.html)\n\n
\n Installation\n \n```bash\npip - install camel-ai[all]\npip install agentops\n```\n\n```python python\n#Import Dependencies\nimport agentops\nimport os\nfrom getpass import getpass\nfrom dotenv import load_dotenv\n\n#Set Keys\nload_dotenv()\nopenai_api_key = os.getenv(\"OPENAI_API_KEY\") or \"\"\nagentops_api_key = os.getenv(\"AGENTOPS_API_KEY\") or \"\"\n\n\n\n```\n
\n\n[You can find usage examples here!](examples/camelai_examples/README.md).\n\n\n\n### LiteLLM 🚅\n\nAgentOps provides support for LiteLLM(>=1.3.1), allowing you to call 100+ LLMs using the same Input/Output Format. \n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/litellm)\n- [Official LiteLLM documentation](https://docs.litellm.ai/docs/providers)\n\n
\n Installation\n \n```bash\npip install litellm\n```\n\n```python python\n# Do not use LiteLLM like this\n# from litellm import completion\n# ...\n# response = completion(model=\"claude-3\", - messages=messages)\n\n# Use LiteLLM like this\nimport litellm\n...\nresponse = litellm.completion(model=\"claude-3\", messages=messages)\n# or\nresponse = await litellm.acompletion(model=\"claude-3\", messages=messages)\n```\n
\n\n### LlamaIndex 🦙\n\n\nAgentOps works seamlessly with applications built using LlamaIndex, a framework for building context-augmented generative AI applications with LLMs.\n\n
\n Installation\n \n```shell\npip install llama-index-instrumentation-agentops\n```\n\nTo use the handler, import and set\n\n```python\nfrom llama_index.core import set_global_handler\n\n# NOTE: Feel free to set your AgentOps environment variables (e.g., ''AGENTOPS_API_KEY'')\n# as outlined in the AgentOps documentation, or pass the equivalent keyword arguments\n# anticipated by AgentOps'' AOClient as **eval_params in set_global_handler.\n\nset_global_handler(\"agentops\")\n```\n\nCheck out the [LlamaIndex docs](https://docs.llamaindex.ai/en/stable/module_guides/observability/?h=agentops#agentops) - for more details.\n\n
\n\n### Llama Stack 🦙🥞\n\nAgentOps provides support for Llama Stack Python Client(>=0.0.53), allowing you to monitor your Agentic applications. \n\n- [AgentOps integration example 1](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-fdddf65549f3714f8f007ce7dfd1cde720329fe54155d54389dd50fbd81813cb)\n- [AgentOps integration example 2](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-6688ff4fb7ab1ce7b1cc9b8362ca27264a3060c16737fb1d850305787a6e3699)\n- [Official Llama Stack Python Client](https://github.com/meta-llama/llama-stack-client-python)\n\n### SwarmZero AI 🐝\n\nTrack and analyze SwarmZero agents with full observability. Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get started.\n\n- [SwarmZero](https://swarmzero.ai) - Advanced multi-agent framework\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/swarmzero)\n- - [SwarmZero AI integration example](https://docs.swarmzero.ai/examples/ai-agents/build-and-monitor-a-web-search-agent)\n- [SwarmZero AI - AgentOps documentation](https://docs.swarmzero.ai/sdk/observability/agentops)\n- [Official SwarmZero Python SDK](https://github.com/swarmzero/swarmzero)\n\n
\n Installation\n\n```bash\npip install swarmzero\npip install agentops\n```\n\n```python\nfrom dotenv import load_dotenv\nload_dotenv()\n\nimport agentops\nagentops.init()\n\nfrom swarmzero import Agent, Swarm\n# ...\n```\n
\n\n## Time travel debugging 🔮\n\n
\n \"Time\n
\n\n
\n\n[Try it out!](https://app.agentops.ai/timetravel)\n\n## Agent Arena 🥊\n\n(coming soon!)\n\n## Evaluations Roadmap 🧭\n\n| Platform | Dashboard | - Evals |\n| ---------------------------------------------------------------------------- | ------------------------------------------ | -------------------------------------- |\n| ✅ Python SDK | ✅ Multi-session and Cross-session metrics | ✅ Custom eval metrics |\n| 🚧 Evaluation builder API | ✅ Custom event tag tracking  | 🔜 Agent scorecards |\n| ✅ [Javascript/Typescript SDK](https://github.com/AgentOps-AI/agentops-node) | ✅ Session replays | 🔜 Evaluation playground + leaderboard |\n\n## Debugging Roadmap 🧭\n\n| Performance testing | Environments | LLM Testing | Reasoning and execution testing |\n| ----------------------------------------- - | ----------------------------------------------------------------------------------- | ------------------------------------------- | ------------------------------------------------- |\n| ✅ Event latency analysis | 🔜 Non-stationary environment testing | 🔜 LLM non-deterministic function detection | 🚧 Infinite loops and recursive thought detection |\n| ✅ Agent workflow execution pricing | 🔜 Multi-modal environments | 🚧 Token limit overflow flags | 🔜 Faulty reasoning detection |\n| 🚧 Success validators (external) | 🔜 Execution containers | 🔜 Context limit overflow flags | 🔜 Generative code validators |\n| 🔜 Agent controllers/skill tests | ✅ Honeypot and prompt injection detection ([PromptArmor](https://promptarmor.com)) - | 🔜 API bill tracking | 🔜 Error breakpoint analysis |\n| 🔜 Information context constraint testing | 🔜 Anti-agent roadblocks (i.e. Captchas) | 🔜 CI/CD integration checks | |\n| 🔜 Regression testing | 🔜 Multi-agent framework visualization | | |\n\n### Why AgentOps? 🤔\n\nWithout the right tools, AI agents are slow, expensive, and unreliable. Our mission is to bring your agent from prototype to production. Here''s why AgentOps stands out:\n\n- **Comprehensive Observability**: Track your AI agents'' performance, user interactions, and API usage.\n- **Real-Time Monitoring**: Get instant insights with session replays, metrics, and live monitoring tools.\n- **Cost Control**: Monitor - and manage your spend on LLM and API calls.\n- **Failure Detection**: Quickly identify and respond to agent failures and multi-agent interaction issues.\n- **Tool Usage Statistics**: Understand how your agents utilize external tools with detailed analytics.\n- **Session-Wide Metrics**: Gain a holistic view of your agents'' sessions with comprehensive statistics.\n\nAgentOps is designed to make agent observability, testing, and monitoring easy.\n\n\n## Star History\n\nCheck out our growth in the community:\n\n\"Logo\"\n\n## Popular projects using AgentOps\n\n\n| Repository | Stars |\n| :-------- | -----: |\n|\"\"   [geekan](https://github.com/geekan) / [MetaGPT](https://github.com/geekan/MetaGPT) | 42787 |\n|\"\"   [run-llama](https://github.com/run-llama) / [llama_index](https://github.com/run-llama/llama_index) | 34446 |\n|\"\"   [crewAIInc](https://github.com/crewAIInc) / [crewAI](https://github.com/crewAIInc/crewAI) | 18287 |\n|\"\"   [camel-ai](https://github.com/camel-ai) / [camel](https://github.com/camel-ai/camel) | 5166 |\n|\"\"   [superagent-ai](https://github.com/superagent-ai) / [superagent](https://github.com/superagent-ai/superagent) | 5050 |\n|\"\"   [iyaja](https://github.com/iyaja) / [llama-fs](https://github.com/iyaja/llama-fs) | 4713 |\n|\"\"   [BasedHardware](https://github.com/BasedHardware) / [Omi](https://github.com/BasedHardware/Omi) | 2723 |\n|\"\"   [MervinPraison](https://github.com/MervinPraison) / [PraisonAI](https://github.com/MervinPraison/PraisonAI) | 2007 |\n|\"\"   [AgentOps-AI](https://github.com/AgentOps-AI) / [Jaiqu](https://github.com/AgentOps-AI/Jaiqu) | 272 |\n|\"\"   [swarmzero](https://github.com/swarmzero) / [swarmzero](https://github.com/swarmzero/swarmzero) | 195 |\n|\"\"   [strnad](https://github.com/strnad) / [CrewAI-Studio](https://github.com/strnad/CrewAI-Studio) | 134 |\n|\"\"   [alejandro-ao](https://github.com/alejandro-ao) / [exa-crewai](https://github.com/alejandro-ao/exa-crewai) | 55 |\n|\"\"   [tonykipkemboi](https://github.com/tonykipkemboi) / [youtube_yapper_trapper](https://github.com/tonykipkemboi/youtube_yapper_trapper) | 47 |\n|\"\"   [sethcoast](https://github.com/sethcoast) / [cover-letter-builder](https://github.com/sethcoast/cover-letter-builder) | 27 |\n|\"\"   [bhancockio](https://github.com/bhancockio) / [chatgpt4o-analysis](https://github.com/bhancockio/chatgpt4o-analysis) | 19 |\n|\"\"   [breakstring](https://github.com/breakstring) / [Agentic_Story_Book_Workflow](https://github.com/breakstring/Agentic_Story_Book_Workflow) | 14 |\n|\"\"   [MULTI-ON](https://github.com/MULTI-ON) / [multion-python](https://github.com/MULTI-ON/multion-python) | 13 |\n\n\n_Generated using [github-dependents-info](https://github.com/nvuillam/github-dependents-info), - by [Nicolas Vuillamy](https://github.com/nvuillam)_\n","description_content_type":"text/markdown","docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":null,"keywords":null,"license":null,"license_expression":null,"license_files":["LICENSE"],"maintainer":null,"maintainer_email":null,"name":"agentops","package_url":"https://pypi.org/project/agentops/","platform":null,"project_url":"https://pypi.org/project/agentops/","project_urls":{"Homepage":"https://github.com/AgentOps-AI/agentops","Issues":"https://github.com/AgentOps-AI/agentops/issues"},"provides_extra":null,"release_url":"https://pypi.org/project/agentops/0.3.26/","requires_dist":["opentelemetry-api==1.22.0; python_version < \"3.10\"","opentelemetry-api>=1.27.0; python_version >= \"3.10\"","opentelemetry-exporter-otlp-proto-http==1.22.0; python_version < 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\n Observability and DevTool platform for AI Agents\n
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\n\n\nAgentOps helps developers build, evaluate, and monitor AI agents. From prototype to production.\n\n| | |\n| ------------------------------------- | ------------------------------------------------------------- |\n| 📊 **Replay Analytics and Debugging** | Step-by-step - agent execution graphs |\n| 💸 **LLM Cost Management** | Track spend with LLM foundation model providers |\n| 🧪 **Agent Benchmarking** | Test your agents against 1,000+ evals |\n| 🔐 **Compliance and Security** | Detect common prompt injection and data exfiltration exploits |\n| 🤝 **Framework Integrations** | Native Integrations with CrewAI, AG2(AutoGen), Camel AI, & LangChain |\n\n## Quick Start ⌨️\n\n```bash\npip install agentops\n```\n\n\n#### Session replays in 2 lines of code\n\nInitialize the AgentOps client and automatically get analytics on all your LLM calls.\n\n[Get an API key](https://app.agentops.ai/settings/projects)\n\n```python\nimport agentops\n\n# Beginning of your program (i.e. main.py, __init__.py)\nagentops.init( < INSERT YOUR API KEY HERE >)\n\n...\n\n# End of program\nagentops.end_session(''Success'')\n```\n\nAll your sessions can be viewed on the [AgentOps - dashboard](https://app.agentops.ai?ref=gh)\n
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\n Agent Debugging\n \n \"Agent\n \n \n \"Chat\n \n \n \"Event\n \n
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\n Session Replays\n \n \"Session\n \n
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\n Summary Analytics\n \n \"Summary\n \n \n \"Summary\n \n
\n\n\n### First class Developer Experience\nAdd powerful observability to your agents, tools, and functions with as little code as possible: one line at a time.\n
\nRefer to our [documentation](http://docs.agentops.ai)\n\n```python\n# Automatically associate all Events with the agent that originated them\nfrom agentops import track_agent\n\n@track_agent(name=''SomeCustomName'')\nclass MyAgent:\n ...\n```\n\n```python\n# Automatically create ToolEvents for tools that agents will use\nfrom agentops import record_tool\n\n@record_tool(''SampleToolName'')\ndef sample_tool(...):\n ...\n```\n\n```python\n# Automatically create ActionEvents for other functions.\nfrom agentops - import record_action\n\n@agentops.record_action(''sample function being record'')\ndef sample_function(...):\n ...\n```\n\n```python\n# Manually record any other Events\nfrom agentops import record, ActionEvent\n\nrecord(ActionEvent(\"received_user_input\"))\n```\n\n## Integrations 🦾\n\n### CrewAI 🛶\n\nBuild Crew agents with observability with only 2 lines of code. Simply set an `AGENTOPS_API_KEY` in your environment, and your crews will get automatic monitoring on the AgentOps dashboard.\n\n```bash\npip install ''crewai[agentops]''\n```\n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/crewai)\n- [Official CrewAI documentation](https://docs.crewai.com/how-to/AgentOps-Observability)\n\n### AG2 🤖\nWith only two lines of code, add full observability and monitoring to AG2 (formerly AutoGen) agents. Set an `AGENTOPS_API_KEY` in your environment and call `agentops.init()`\n\n- [AG2 Observability Example](https://docs.ag2.ai/notebooks/agentchat_agentops)\n- - [AG2 - AgentOps Documentation](https://docs.ag2.ai/docs/ecosystem/agentops)\n\n### Camel AI 🐪\n\nTrack and analyze CAMEL agents with full observability. Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get started.\n\n- [Camel AI](https://www.camel-ai.org/) - Advanced agent communication framework\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/camel)\n- [Official Camel AI documentation](https://docs.camel-ai.org/cookbooks/agents_tracking.html)\n\n
\n Installation\n\n```bash\npip install \"camel-ai[all]==0.2.11\"\npip install agentops\n```\n\n```python\nimport os\nimport agentops\nfrom camel.agents import ChatAgent\nfrom camel.messages import BaseMessage\nfrom camel.models import ModelFactory\nfrom camel.types import ModelPlatformType, ModelType\n\n# Initialize AgentOps\nagentops.init(os.getenv(\"AGENTOPS_API_KEY\"), default_tags=[\"CAMEL Example\"])\n\n# Import toolkits after AgentOps init for tracking\nfrom - camel.toolkits import SearchToolkit\n\n# Set up the agent with search tools\nsys_msg = BaseMessage.make_assistant_message(\n role_name=''Tools calling operator'',\n content=''You are a helpful assistant''\n)\n\n# Configure tools and model\ntools = [*SearchToolkit().get_tools()]\nmodel = ModelFactory.create(\n model_platform=ModelPlatformType.OPENAI,\n model_type=ModelType.GPT_4O_MINI,\n)\n\n# Create and run the agent\ncamel_agent = ChatAgent(\n system_message=sys_msg,\n model=model,\n tools=tools,\n)\n\nresponse = camel_agent.step(\"What is AgentOps?\")\nprint(response)\n\nagentops.end_session(\"Success\")\n```\n\nCheck out our [Camel integration guide](https://docs.agentops.ai/v1/integrations/camel) for more examples including multi-agent scenarios.\n
\n\n### Langchain 🦜🔗\n\nAgentOps works seamlessly with applications built using Langchain. To use the handler, install Langchain as an optional dependency:\n\n
\n Installation\n \n```shell\npip - install agentops[langchain]\n```\n\nTo use the handler, import and set\n\n```python\nimport os\nfrom langchain.chat_models import ChatOpenAI\nfrom langchain.agents import initialize_agent, AgentType\nfrom agentops.partners.langchain_callback_handler import LangchainCallbackHandler\n\nAGENTOPS_API_KEY = os.environ[''AGENTOPS_API_KEY'']\nhandler = LangchainCallbackHandler(api_key=AGENTOPS_API_KEY, tags=[''Langchain Example''])\n\nllm = ChatOpenAI(openai_api_key=OPENAI_API_KEY,\n callbacks=[handler],\n model=''gpt-3.5-turbo'')\n\nagent = initialize_agent(tools,\n llm,\n agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,\n verbose=True,\n callbacks=[handler], # You must pass in a callback handler to record your agent\n handle_parsing_errors=True)\n```\n\nCheck out the [Langchain Examples Notebook](./examples/langchain_examples.ipynb) for - more details including Async handlers.\n\n
\n\n### Cohere ⌨️\n\nFirst class support for Cohere(>=5.4.0). This is a living integration, should you need any added functionality please message us on Discord!\n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/cohere)\n- [Official Cohere documentation](https://docs.cohere.com/reference/about)\n\n
\n Installation\n \n```bash\npip install cohere\n```\n\n```python python\nimport cohere\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\nco = cohere.Client()\n\nchat = co.chat(\n message=\"Is it pronounced ceaux-hear or co-hehray?\"\n)\n\nprint(chat)\n\nagentops.end_session(''Success'')\n```\n\n```python python\nimport cohere\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nco = cohere.Client()\n\nstream = co.chat_stream(\n message=\"Write - me a haiku about the synergies between Cohere and AgentOps\"\n)\n\nfor event in stream:\n if event.event_type == \"text-generation\":\n print(event.text, end='''')\n\nagentops.end_session(''Success'')\n```\n
\n\n\n### Anthropic ﹨\n\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\n\n- [AgentOps integration guide](https://docs.agentops.ai/v1/integrations/anthropic)\n- [Official Anthropic documentation](https://docs.anthropic.com/en/docs/welcome)\n\n
\n Installation\n \n```bash\npip install anthropic\n```\n\n```python python\nimport anthropic\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = anthropic.Anthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\nmessage = client.messages.create(\n max_tokens=1024,\n messages=[\n {\n \"role\": \"user\",\n \"content\": - \"Tell me a cool fact about AgentOps\",\n }\n ],\n model=\"claude-3-opus-20240229\",\n )\nprint(message.content)\n\nagentops.end_session(''Success'')\n```\n\nStreaming\n```python python\nimport anthropic\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = anthropic.Anthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\nstream = client.messages.create(\n max_tokens=1024,\n model=\"claude-3-opus-20240229\",\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something cool about streaming agents\",\n }\n ],\n stream=True,\n)\n\nresponse = \"\"\nfor event in stream:\n if event.type == \"content_block_delta\":\n response += event.delta.text\n elif event.type == \"message_stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n```\n\nAsync\n\n```python - python\nimport asyncio\nfrom anthropic import AsyncAnthropic\n\nclient = AsyncAnthropic(\n # This is the default and can be omitted\n api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.messages.create(\n max_tokens=1024,\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async agents\",\n }\n ],\n model=\"claude-3-opus-20240229\",\n )\n print(message.content)\n\n\nawait main()\n```\n
\n\n### Mistral 〽️\n\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\n\n- [AgentOps integration example](./examples/mistral//mistral_example.ipynb)\n- [Official Mistral documentation](https://docs.mistral.ai)\n\n
\n Installation\n \n```bash\npip install mistralai\n```\n\nSync\n\n```python python\nfrom mistralai import Mistral\nimport agentops\n\n# Beginning of program''s - code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\nmessage = client.chat.complete(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me a cool fact about AgentOps\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\nprint(message.choices[0].message.content)\n\nagentops.end_session(''Success'')\n```\n\nStreaming\n\n```python python\nfrom mistralai import Mistral\nimport agentops\n\n# Beginning of program''s code (i.e. main.py, __init__.py)\nagentops.init()\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\nmessage = client.chat.stream(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something cool - about streaming agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n\nresponse = \"\"\nfor event in message:\n if event.data.choices[0].finish_reason == \"stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n else:\n response += event.text\n\nagentops.end_session(''Success'')\n```\n\nAsync\n\n```python python\nimport asyncio\nfrom mistralai import Mistral\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.chat.complete_async(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n print(message.choices[0].message.content)\n\n\nawait main()\n```\n\nAsync Streaming\n\n```python python\nimport asyncio\nfrom mistralai - import Mistral\n\nclient = Mistral(\n # This is the default and can be omitted\n api_key=os.environ.get(\"MISTRAL_API_KEY\"),\n)\n\n\nasync def main() -> None:\n message = await client.chat.stream_async(\n messages=[\n {\n \"role\": \"user\",\n \"content\": \"Tell me something interesting about async streaming agents\",\n }\n ],\n model=\"open-mistral-nemo\",\n )\n\n response = \"\"\n async for event in message:\n if event.data.choices[0].finish_reason == \"stop\":\n print(\"\\n\")\n print(response)\n print(\"\\n\")\n else:\n response += event.text\n\n\nawait main()\n```\n
\n\n\n\n### CamelAI ﹨\n\nTrack agents built with the CamelAI Python SDK (>=0.32.0).\n\n- [CamelAI integration guide](https://docs.camel-ai.org/cookbooks/agents_tracking.html#)\n- [Official CamelAI documentation](https://docs.camel-ai.org/index.html)\n\n
\n Installation\n \n```bash\npip - install camel-ai[all]\npip install agentops\n```\n\n```python python\n#Import Dependencies\nimport agentops\nimport os\nfrom getpass import getpass\nfrom dotenv import load_dotenv\n\n#Set Keys\nload_dotenv()\nopenai_api_key = os.getenv(\"OPENAI_API_KEY\") or \"\"\nagentops_api_key = os.getenv(\"AGENTOPS_API_KEY\") or \"\"\n\n\n\n```\n
\n\n[You can find usage examples here!](examples/camelai_examples/README.md).\n\n\n\n### LiteLLM 🚅\n\nAgentOps provides support for LiteLLM(>=1.3.1), allowing you to call 100+ LLMs using the same Input/Output Format. \n\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/litellm)\n- [Official LiteLLM documentation](https://docs.litellm.ai/docs/providers)\n\n
\n Installation\n \n```bash\npip install litellm\n```\n\n```python python\n# Do not use LiteLLM like this\n# from litellm import completion\n# ...\n# response = completion(model=\"claude-3\", - messages=messages)\n\n# Use LiteLLM like this\nimport litellm\n...\nresponse = litellm.completion(model=\"claude-3\", messages=messages)\n# or\nresponse = await litellm.acompletion(model=\"claude-3\", messages=messages)\n```\n
\n\n### LlamaIndex 🦙\n\n\nAgentOps works seamlessly with applications built using LlamaIndex, a framework for building context-augmented generative AI applications with LLMs.\n\n
\n Installation\n \n```shell\npip install llama-index-instrumentation-agentops\n```\n\nTo use the handler, import and set\n\n```python\nfrom llama_index.core import set_global_handler\n\n# NOTE: Feel free to set your AgentOps environment variables (e.g., ''AGENTOPS_API_KEY'')\n# as outlined in the AgentOps documentation, or pass the equivalent keyword arguments\n# anticipated by AgentOps'' AOClient as **eval_params in set_global_handler.\n\nset_global_handler(\"agentops\")\n```\n\nCheck out the [LlamaIndex docs](https://docs.llamaindex.ai/en/stable/module_guides/observability/?h=agentops#agentops) - for more details.\n\n
\n\n### Llama Stack 🦙🥞\n\nAgentOps provides support for Llama Stack Python Client(>=0.0.53), allowing you to monitor your Agentic applications. \n\n- [AgentOps integration example 1](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-fdddf65549f3714f8f007ce7dfd1cde720329fe54155d54389dd50fbd81813cb)\n- [AgentOps integration example 2](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-6688ff4fb7ab1ce7b1cc9b8362ca27264a3060c16737fb1d850305787a6e3699)\n- [Official Llama Stack Python Client](https://github.com/meta-llama/llama-stack-client-python)\n\n### SwarmZero AI 🐝\n\nTrack and analyze SwarmZero agents with full observability. Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get started.\n\n- [SwarmZero](https://swarmzero.ai) - Advanced multi-agent framework\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/swarmzero)\n- - [SwarmZero AI integration example](https://docs.swarmzero.ai/examples/ai-agents/build-and-monitor-a-web-search-agent)\n- [SwarmZero AI - AgentOps documentation](https://docs.swarmzero.ai/sdk/observability/agentops)\n- [Official SwarmZero Python SDK](https://github.com/swarmzero/swarmzero)\n\n
\n Installation\n\n```bash\npip install swarmzero\npip install agentops\n```\n\n```python\nfrom dotenv import load_dotenv\nload_dotenv()\n\nimport agentops\nagentops.init()\n\nfrom swarmzero import Agent, Swarm\n# ...\n```\n
\n\n## Time travel debugging 🔮\n\n
\n \"Time\n
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\n\n[Try it out!](https://app.agentops.ai/timetravel)\n\n## Agent Arena 🥊\n\n(coming soon!)\n\n## Evaluations Roadmap 🧭\n\n| Platform | Dashboard | - Evals |\n| ---------------------------------------------------------------------------- | ------------------------------------------ | -------------------------------------- |\n| ✅ Python SDK | ✅ Multi-session and Cross-session metrics | ✅ Custom eval metrics |\n| 🚧 Evaluation builder API | ✅ Custom event tag tracking  | 🔜 Agent scorecards |\n| ✅ [Javascript/Typescript SDK](https://github.com/AgentOps-AI/agentops-node) | ✅ Session replays | 🔜 Evaluation playground + leaderboard |\n\n## Debugging Roadmap 🧭\n\n| Performance testing | Environments | LLM Testing | Reasoning and execution testing |\n| ----------------------------------------- - | ----------------------------------------------------------------------------------- | ------------------------------------------- | ------------------------------------------------- |\n| ✅ Event latency analysis | 🔜 Non-stationary environment testing | 🔜 LLM non-deterministic function detection | 🚧 Infinite loops and recursive thought detection |\n| ✅ Agent workflow execution pricing | 🔜 Multi-modal environments | 🚧 Token limit overflow flags | 🔜 Faulty reasoning detection |\n| 🚧 Success validators (external) | 🔜 Execution containers | 🔜 Context limit overflow flags | 🔜 Generative code validators |\n| 🔜 Agent controllers/skill tests | ✅ Honeypot and prompt injection detection ([PromptArmor](https://promptarmor.com)) - | 🔜 API bill tracking | 🔜 Error breakpoint analysis |\n| 🔜 Information context constraint testing | 🔜 Anti-agent roadblocks (i.e. Captchas) | 🔜 CI/CD integration checks | |\n| 🔜 Regression testing | 🔜 Multi-agent framework visualization | | |\n\n### Why AgentOps? 🤔\n\nWithout the right tools, AI agents are slow, expensive, and unreliable. Our mission is to bring your agent from prototype to production. Here''s why AgentOps stands out:\n\n- **Comprehensive Observability**: Track your AI agents'' performance, user interactions, and API usage.\n- **Real-Time Monitoring**: Get instant insights with session replays, metrics, and live monitoring tools.\n- **Cost Control**: Monitor - and manage your spend on LLM and API calls.\n- **Failure Detection**: Quickly identify and respond to agent failures and multi-agent interaction issues.\n- **Tool Usage Statistics**: Understand how your agents utilize external tools with detailed analytics.\n- **Session-Wide Metrics**: Gain a holistic view of your agents'' sessions with comprehensive statistics.\n\nAgentOps is designed to make agent observability, testing, and monitoring easy.\n\n\n## Star History\n\nCheck out our growth in the community:\n\n\"Logo\"\n\n## Popular projects using AgentOps\n\n\n| Repository | Stars |\n| :-------- | -----: |\n|\"\"   [geekan](https://github.com/geekan) / [MetaGPT](https://github.com/geekan/MetaGPT) | 42787 |\n|\"\"   [run-llama](https://github.com/run-llama) / [llama_index](https://github.com/run-llama/llama_index) | 34446 |\n|\"\"   [crewAIInc](https://github.com/crewAIInc) / [crewAI](https://github.com/crewAIInc/crewAI) | 18287 |\n|\"\"   [camel-ai](https://github.com/camel-ai) / [camel](https://github.com/camel-ai/camel) | 5166 |\n|\"\"   [superagent-ai](https://github.com/superagent-ai) / [superagent](https://github.com/superagent-ai/superagent) | 5050 |\n|\"\"   [iyaja](https://github.com/iyaja) / [llama-fs](https://github.com/iyaja/llama-fs) | 4713 |\n|\"\"   [BasedHardware](https://github.com/BasedHardware) / [Omi](https://github.com/BasedHardware/Omi) | 2723 |\n|\"\"   [MervinPraison](https://github.com/MervinPraison) / [PraisonAI](https://github.com/MervinPraison/PraisonAI) | 2007 |\n|\"\"   [AgentOps-AI](https://github.com/AgentOps-AI) / [Jaiqu](https://github.com/AgentOps-AI/Jaiqu) | 272 |\n|\"\"   [swarmzero](https://github.com/swarmzero) / [swarmzero](https://github.com/swarmzero/swarmzero) | 195 |\n|\"\"   [strnad](https://github.com/strnad) / [CrewAI-Studio](https://github.com/strnad/CrewAI-Studio) | 134 |\n|\"\"   [alejandro-ao](https://github.com/alejandro-ao) / [exa-crewai](https://github.com/alejandro-ao/exa-crewai) | 55 |\n|\"\"   [tonykipkemboi](https://github.com/tonykipkemboi) / [youtube_yapper_trapper](https://github.com/tonykipkemboi/youtube_yapper_trapper) | 47 |\n|\"\"   [sethcoast](https://github.com/sethcoast) / [cover-letter-builder](https://github.com/sethcoast/cover-letter-builder) | 27 |\n|\"\"   [bhancockio](https://github.com/bhancockio) / [chatgpt4o-analysis](https://github.com/bhancockio/chatgpt4o-analysis) | 19 |\n|\"\"   [breakstring](https://github.com/breakstring) / [Agentic_Story_Book_Workflow](https://github.com/breakstring/Agentic_Story_Book_Workflow) | 14 |\n|\"\"   [MULTI-ON](https://github.com/MULTI-ON) / [multion-python](https://github.com/MULTI-ON/multion-python) | 13 |\n\n\n_Generated 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You - are a seasoned manager with a knack for getting the best out of your team.\nYou - are also known for your ability to delegate work to the right people, and to - ask the right questions to get the best out of your team.\nEven though you don''t - perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\nYour personal - goal is: Manage the team to complete the task in the best way possible.\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: Delegate work to coworker(task: str, context: - str, coworker: Optional[str] = None, **kwargs)\nTool Description: Delegate a - specific task to one of the following coworkers: Researcher, Senior Writer\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to execute the task, they know nothing about the task, - so share absolute everything you know, don''t reference things but instead explain - them.\nTool Arguments: {''task'': {''title'': ''Task'', ''type'': ''string''}, - ''context'': {''title'': ''Context'', ''type'': ''string''}, ''coworker'': {''title'': - ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': ''Kwargs'', ''type'': - ''object''}}\nTool Name: Ask question to coworker(question: str, context: str, - coworker: Optional[str] = None, **kwargs)\nTool Description: Ask a specific - question to one of the following coworkers: Researcher, Senior Writer\nThe input - to this tool should be the coworker, the question you have for them, and ALL - necessary context to ask the question properly, they know nothing about the - question, so share absolute everything you know, don''t reference things but - instead explain them.\nTool Arguments: {''question'': {''title'': ''Question'', - ''type'': ''string''}, ''context'': {''title'': ''Context'', ''type'': ''string''}, - ''coworker'': {''title'': ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': - ''Kwargs'', ''type'': ''object''}}\n\nUse the following format:\n\nThought: - you should always think about what to do\nAction: the action to take, only one - name of [Delegate work to coworker, Ask question to coworker], just the name, - exactly as it''s written.\nAction Input: the input to the action, just a simple - python dictionary, enclosed in curly braces, using \" to wrap keys and values.\nObservation: - the result of the action\n\nOnce all necessary information is gathered:\n\nThought: - I now know the final answer\nFinal Answer: the final answer to the original - input question\n"}, {"role": "user", "content": "\nCurrent Task: Come up with - a list of 5 interesting ideas to explore for an article, then write one amazing - paragraph highlight for each idea that showcases how good an article about this - topic could be. 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I will delegate this task to the Senior Writer,\ - \ ensuring they have all the context they need.\\n\\nAction: Delegate work\ - \ to coworker\\nAction Input: {\\\"task\\\": \\\"Write one amazing paragraph\ - \ highlight for each of the following ideas:\\\\n\\\\n1. The Rise of AI in\ - \ Healthcare: Transforming Patient Care and Diagnostics\\\\n2. AI Agents in\ - \ the Workplace: Boosting Productivity and Shaping the Future of Jobs\\\\\ - n3. Ethical AI: Ensuring Fairness, Accountability, and Transparency\\\\n4.\ - \ AI-Powered Startups: Innovators Changing the Tech Landscape\\\\n5. The Future\ - \ of AI in Entertainment: From Movies to Video Games\\\\n\\\", \\\"context\\\ - \": \\\"We need an engaging paragraph for each idea that showcases how interesting\ - \ an article on that topic could be. 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The ethical and privacy concerns, however, pose new challenges that\ - \ the industry must navigate to ensure responsible advancement.\\\"\\n\\n2.\ - \ **AI Agents in the Workplace: Boosting Productivity and Shaping the Future\ - \ of Jobs** - \\\"The modern workplace is being redefined by the integration\ - \ of AI agents, intelligent systems designed to handle repetitive tasks, analyze\ - \ vast amounts of data, and assist in complex decision-making processes. These\ - \ innovations are boosting productivity, allowing employees to focus on creativity\ - \ and strategic thinking. The rise of AI in the workspace heralds a future\ - \ where human and machine collaboration leads to unparalleled efficiencies\ - \ and novel job opportunities. 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Investors are taking notice, pouring capital\ - \ into these ventures, and fueling a new wave of growth and competition in\ - \ the AI ecosystem.\\\"\\n\\n5. **The Future of AI in Entertainment: From\ - \ Movies to Video Games** - \\\"The entertainment industry is undergoing a\ - \ seismic shift driven by AI technology. In movies, AI is revolutionizing\ - \ special effects, enabling filmmakers to create stunning, hyper-realistic\ - \ worlds. 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AI in healthcare is rapidly transforming this vision\ - \ into reality, enhancing patient care through early and accurate disease\ - \ detection, personalized treatment plans, and continuous health monitoring.\ - \ This revolution is not just a futuristic concept; it's already happening\ - \ with AI-driven technologies enabling doctors to make more informed decisions\ - \ and offering patients a more proactive approach to their health. The ethical\ - \ and privacy concerns, however, pose new challenges that the industry must\ - \ navigate to ensure responsible advancement.\\\"\\n\\n2. **AI Agents in the\ - \ Workplace: Boosting Productivity and Shaping the Future of Jobs**\\n \\\ - \"The modern workplace is being redefined by the integration of AI agents,\ - \ intelligent systems designed to handle repetitive tasks, analyze vast amounts\ - \ of data, and assist in complex decision-making processes. 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You - are a seasoned manager with a knack for getting the best out of your team.\nYou - are also known for your ability to delegate work to the right people, and to - ask the right questions to get the best out of your team.\nEven though you don''t - perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\nYour personal - goal is: Manage the team to complete the task in the best way possible.\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: Delegate work to coworker(task: str, context: - str, coworker: Optional[str] = None, **kwargs)\nTool Description: Delegate a - specific task to one of the following coworkers: Researcher, Senior Writer\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to execute the task, they know nothing about the task, - so share absolute everything you know, don''t reference things but instead explain - them.\nTool Arguments: {''task'': {''title'': ''Task'', ''type'': ''string''}, - ''context'': {''title'': ''Context'', ''type'': ''string''}, ''coworker'': {''title'': - ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': ''Kwargs'', ''type'': - ''object''}}\nTool Name: Ask question to coworker(question: str, context: str, - coworker: Optional[str] = None, **kwargs)\nTool Description: Ask a specific - question to one of the following coworkers: Researcher, Senior Writer\nThe input - to this tool should be the coworker, the question you have for them, and ALL - necessary context to ask the question properly, they know nothing about the - question, so share absolute everything you know, don''t reference things but - instead explain them.\nTool Arguments: {''question'': {''title'': ''Question'', - ''type'': ''string''}, ''context'': {''title'': ''Context'', ''type'': ''string''}, - ''coworker'': {''title'': ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': - ''Kwargs'', ''type'': ''object''}}\n\nUse the following format:\n\nThought: - you should always think about what to do\nAction: the action to take, only one - name of [Delegate work to coworker, Ask question to coworker], just the name, - exactly as it''s written.\nAction Input: the input to the action, just a simple - python dictionary, enclosed in curly braces, using \" to wrap keys and values.\nObservation: - the result of the action\n\nOnce all necessary information is gathered:\n\nThought: - I now know the final answer\nFinal Answer: the final answer to the original - input question\n"}, {"role": "user", "content": "\nCurrent Task: Come up with - a list of 5 interesting ideas to explore for an article, then write one amazing - paragraph highlight for each idea that showcases how good an article about this - topic could be. 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Offer - predictions about future trends and possible impacts on content creation and - consumption.\n\nThese topics are designed to be timely, relevant, and engaging, - ensuring a broad audience will find them compelling."}, {"role": "user", "content": - "I did it wrong. 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The Rise\ - \ of AI in Healthcare: Transforming Patient Care and Diagnostics - Explore\ - \ how AI is revolutionizing healthcare through enhanced diagnostic tools,\ - \ personalized treatment plans, and post-operative care. Discuss current achievements,\ - \ potential future applications, and ethical considerations.\\\\n2. AI Agents\ - \ in the Workplace: Boosting Productivity and Shaping the Future of Jobs -\ - \ Examine the integration of AI agents in various industries. Highlight how\ - \ these intelligent agents are improving efficiency, automating mundane tasks,\ - \ and assisting in decision-making processes. Address potential job displacement\ - \ and the need for upskilling the workforce.\\\\n3. Ethical AI: Ensuring Fairness,\ - \ Accountability, and Transparency - Delve into the ethical implications of\ - \ AI deployment. Analyze the frameworks and guidelines being proposed to ensure\ - \ AI systems are fair, transparent, and accountable. 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You''re - a senior writer, specialized in technology, software engineering, AI and startups. - You work as a freelancer and are now working on writing content for a new customer.\nYour - personal goal is: Write the best content about AI and AI agents.\nTo give my - best complete final answer to the task use the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}, {"role": "user", "content": "\nCurrent - Task: Write one amazing paragraph highlight for each of these 5 ideas that showcases - how good an article about these topics could be.\n\nThis is the expect criteria - for your final answer: Your best answer to your coworker asking you this, accounting - for the context shared.\nyou MUST return the actual complete content as the - final answer, not a summary.\n\nThis is the context you''re working with:\nHere - are the 5 ideas:\n1. 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With the advent of advanced diagnostic tools powered by\ - \ AI, healthcare professionals can now detect and monitor diseases with unprecedented\ - \ accuracy and speed. Personalized treatment plans, which were once a distant\ - \ dream, are becoming a reality as AI algorithms analyze vast amounts of patient\ - \ data, tailoring treatments that are specific to individual needs. Post-operative\ - \ care has also seen significant improvements, with AI-driven monitoring systems\ - \ ensuring that patients receive timely and effective care. 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For instance, AI chatbots\ - \ in customer service can handle routine inquiries, freeing human agents to\ - \ tackle more complex issues. In manufacturing, AI systems predict equipment\ - \ failures, reducing downtime and maintaining peak productivity. By enhancing\ - \ operational efficiency, AI agents not only boost productivity but also reshape\ - \ the future of jobs. While the risk of job displacement is a valid concern,\ - \ it concurrently heralds opportunities for upskilling and creating new roles\ - \ that harness human creativity and strategic thinking. Preparing the workforce\ - \ for these changes is crucial, fostering a symbiotic relationship between\ - \ AI and human labor to drive innovation and economic growth.\\n\\n3. **Ethical\ - \ AI: Ensuring Fairness, Accountability, and Transparency**\\n As AI technologies\ - \ become increasingly pervasive, ensuring their ethical deployment is paramount.\ - \ Ethical AI demands the formulation and implementation of robust frameworks\ - \ that enshrine fairness, accountability, and transparency. Such frameworks\ - \ are essential in mitigating biases embedded within AI systems, which can\ - \ perpetuate and even exacerbate inequality. Case studies, such as the controversy\ - \ surrounding facial recognition systems and their racial biases, highlight\ - \ the pressing need for ethical oversight. Transparency in how AI models make\ - \ decisions, coupled with accountability measures for their outcomes, establishes\ - \ trust and integrity in AI applications. 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You - are a seasoned manager with a knack for getting the best out of your team.\nYou - are also known for your ability to delegate work to the right people, and to - ask the right questions to get the best out of your team.\nEven though you don''t - perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\nYour personal - goal is: Manage the team to complete the task in the best way possible.\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: Delegate work to coworker(task: str, context: - str, coworker: Optional[str] = None, **kwargs)\nTool Description: Delegate a - specific task to one of the following coworkers: Researcher, Senior Writer\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to execute the task, they know nothing about the task, - so share absolute everything you know, don''t reference things but instead explain - them.\nTool Arguments: {''task'': {''title'': ''Task'', ''type'': ''string''}, - ''context'': {''title'': ''Context'', ''type'': ''string''}, ''coworker'': {''title'': - ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': ''Kwargs'', ''type'': - ''object''}}\nTool Name: Ask question to coworker(question: str, context: str, - coworker: Optional[str] = None, **kwargs)\nTool Description: Ask a specific - question to one of the following coworkers: Researcher, Senior Writer\nThe input - to this tool should be the coworker, the question you have for them, and ALL - necessary context to ask the question properly, they know nothing about the - question, so share absolute everything you know, don''t reference things but - instead explain them.\nTool Arguments: {''question'': {''title'': ''Question'', - ''type'': ''string''}, ''context'': {''title'': ''Context'', ''type'': ''string''}, - ''coworker'': {''title'': ''Coworker'', ''type'': ''string''}, ''kwargs'': {''title'': - ''Kwargs'', ''type'': ''object''}}\n\nUse the following format:\n\nThought: - you should always think about what to do\nAction: the action to take, only one - name of [Delegate work to coworker, Ask question to coworker], just the name, - exactly as it''s written.\nAction Input: the input to the action, just a simple - python dictionary, enclosed in curly braces, using \" to wrap keys and values.\nObservation: - the result of the action\n\nOnce all necessary information is gathered:\n\nThought: - I now know the final answer\nFinal Answer: the final answer to the original - input question\n"}, {"role": "user", "content": "\nCurrent Task: Come up with - a list of 5 interesting ideas to explore for an article, then write one amazing - paragraph highlight for each idea that showcases how good an article about this - topic could be. Return the list of ideas with their paragraph and your notes.\n\nThis - is the expect criteria for your final answer: 5 bullet points with a paragraph - for each idea.\nyou MUST return the actual complete content as the final answer, - not a summary.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"}, {"role": - "assistant", "content": "Thought: The first step is to brainstorm and research - interesting ideas for the article. Since the task involves both research and - writing, I will need to delegate the brainstorming of ideas to the Researcher - and the writing of the paragraphs to the Senior Writer. \n\nAction: Delegate - work to coworker\nAction Input: {\"task\": \"Come up with a list of 5 interesting - ideas to explore for an article.\", \"context\": \"We need a list of 5 interesting - ideas that would make compelling articles. The topics should be relevant, timely, - and engaging for a broad audience.\", \"coworker\": \"Researcher\"}\nObservation: - 1. **The Rise of AI in Healthcare: Transforming Patient Care and Diagnostics** - - Explore how AI is revolutionizing healthcare through enhanced diagnostic tools, - personalized treatment plans, and post-operative care. Discuss current achievements, - potential future applications, and ethical considerations.\n\n2. **AI Agents - in the Workplace: Boosting Productivity and Shaping the Future of Jobs** - Examine - the integration of AI agents in various industries. Highlight how these intelligent - agents are improving efficiency, automating mundane tasks, and assisting in - decision-making processes. Address potential job displacement and the need for - upskilling the workforce.\n\n3. **Ethical AI: Ensuring Fairness, Accountability, - and Transparency** - Delve into the ethical implications of AI deployment. Analyze - the frameworks and guidelines being proposed to ensure AI systems are fair, - transparent, and accountable. Include case studies of ethical dilemmas faced - by companies using AI.\n\n4. **AI-Powered Startups: Innovators Changing the - Tech Landscape** - Provide an overview of how AI-driven startups are disrupting - traditional business models and industries. Profile some of the most innovative - startups, their business models, and the unique challenges they face. Discuss - the role of venture capital in fostering AI innovation.\n\n5. **The Future of - AI in Entertainment: From Movies to Video Games** - Investigate how AI is transforming - the entertainment industry, from scriptwriting and special effects in movies - to creating more immersive and intelligent experiences in video games. Offer - predictions about future trends and possible impacts on content creation and - consumption.\n\nThese topics are designed to be timely, relevant, and engaging, - ensuring a broad audience will find them compelling."}, {"role": "user", "content": - "I did it wrong. Tried to both perform Action and give a Final Answer at the - same time, I must do one or the other"}, {"role": "assistant", "content": "Thought: - I''ll proceed to delegate the writing of one amazing paragraph highlight for - each of the identified ideas to the Senior Writer, ensuring each topic is adequately - detailed to showcase its potential.\n\nAction: Delegate work to coworker\nAction - Input: {\"task\": \"Write one amazing paragraph highlight for each of these - 5 ideas that showcases how good an article about these topics could be.\", \"context\": - \"Here are the 5 ideas:\\n1. The Rise of AI in Healthcare: Transforming Patient - Care and Diagnostics - Explore how AI is revolutionizing healthcare through - enhanced diagnostic tools, personalized treatment plans, and post-operative - care. Discuss current achievements, potential future applications, and ethical - considerations.\\n2. AI Agents in the Workplace: Boosting Productivity and Shaping - the Future of Jobs - Examine the integration of AI agents in various industries. - Highlight how these intelligent agents are improving efficiency, automating - mundane tasks, and assisting in decision-making processes. Address potential - job displacement and the need for upskilling the workforce.\\n3. Ethical AI: - Ensuring Fairness, Accountability, and Transparency - Delve into the ethical - implications of AI deployment. Analyze the frameworks and guidelines being proposed - to ensure AI systems are fair, transparent, and accountable. Include case studies - of ethical dilemmas faced by companies using AI.\\n4. AI-Powered Startups: Innovators - Changing the Tech Landscape - Provide an overview of how AI-driven startups - are disrupting traditional business models and industries. Profile some of the - most innovative startups, their business models, and the unique challenges they - face. Discuss the role of venture capital in fostering AI innovation.\\n5. The - Future of AI in Entertainment: From Movies to Video Games - Investigate how - AI is transforming the entertainment industry, from scriptwriting and special - effects in movies to creating more immersive and intelligent experiences in - video games. Offer predictions about future trends and possible impacts on content - creation and consumption.\", \"coworker\": \"Senior Writer\"}\nObservation:\nObservation: - 1. **The Rise of AI in Healthcare: Transforming Patient Care and Diagnostics**\n AI - is undeniably revolutionizing the healthcare sector, introducing transformative - changes in patient care and diagnostics. With the advent of advanced diagnostic - tools powered by AI, healthcare professionals can now detect and monitor diseases - with unprecedented accuracy and speed. Personalized treatment plans, which were - once a distant dream, are becoming a reality as AI algorithms analyze vast amounts - of patient data, tailoring treatments that are specific to individual needs. - Post-operative care has also seen significant improvements, with AI-driven monitoring - systems ensuring that patients receive timely and effective care. Current achievements - like IBM Watson''s oncology platform or Google''s DeepMind in eye care are just - the beginning, with future applications promising to further enhance surgical - robotics, predictive analytics, and remote patient monitoring. However, alongside - these advancements, ethical considerations such as patient privacy, data security, - and decision-making transparency must be rigorously addressed to fully harness - AI\u2019s potential in healthcare.\n\n2. **AI Agents in the Workplace: Boosting - Productivity and Shaping the Future of Jobs**\n The integration of AI agents - in the workplace marks a pivotal shift in how businesses operate and compete. - These intelligent agents are revolutionizing various industries by automating - mundane tasks, optimizing workflows, and providing actionable insights from - data analysis. For instance, AI chatbots in customer service can handle routine - inquiries, freeing human agents to tackle more complex issues. In manufacturing, - AI systems predict equipment failures, reducing downtime and maintaining peak - productivity. By enhancing operational efficiency, AI agents not only boost - productivity but also reshape the future of jobs. While the risk of job displacement - is a valid concern, it concurrently heralds opportunities for upskilling and - creating new roles that harness human creativity and strategic thinking. Preparing - the workforce for these changes is crucial, fostering a symbiotic relationship - between AI and human labor to drive innovation and economic growth.\n\n3. **Ethical - AI: Ensuring Fairness, Accountability, and Transparency**\n As AI technologies - become increasingly pervasive, ensuring their ethical deployment is paramount. - Ethical AI demands the formulation and implementation of robust frameworks that - enshrine fairness, accountability, and transparency. Such frameworks are essential - in mitigating biases embedded within AI systems, which can perpetuate and even - exacerbate inequality. Case studies, such as the controversy surrounding facial - recognition systems and their racial biases, highlight the pressing need for - ethical oversight. Transparency in how AI models make decisions, coupled with - accountability measures for their outcomes, establishes trust and integrity - in AI applications. Legislative frameworks from the EU\u2019s GDPR to the IEEE\u2019s - global initiatives for ethical AI provide the scaffolding for these principles. - Companies are now faced with the challenge of integrating these ethical considerations - into their development processes, ensuring that AI advancements benefit all - of society equitably.\n\n4. **AI-Powered Startups: Innovators Changing the Tech - Landscape**\n AI-powered startups are at the forefront of a technological - renaissance, disrupting traditional business models and reshaping industries. - These startups leverage AI to offer innovative solutions, whether it''s automating - financial trading with precision algorithms or enhancing cybersecurity through - predictive analytics. High-profile examples like OpenAI and UiPath illustrate - the transformative potential of AI-driven innovation. These companies face unique - challenges, from securing sufficient funding to navigating the complexities - of large-scale implementation. Venture capital plays a critical role in this - ecosystem, providing the necessary resources and support to turn bold ideas - into impactful realities. The synergy between AI innovation and entrepreneurial - spirit is fostering a dynamic landscape where the boundaries of technology and - commerce are continually expanding.\n\n5. **The Future of AI in Entertainment: - From Movies to Video Games**\n The entertainment industry is undergoing a - metamorphic change with the integration of AI technologies, paving the way for - more immersive and engaging experiences. In movies, AI streamlines the scriptwriting - process, enhances special effects, and even predicts box office success. Machine - learning models analyze vast datasets to create compelling narratives and optimize - marketing strategies. Video games have also been revolutionized by AI, with - non-player characters (NPCs) displaying more lifelike behaviors and adaptive - learning algorithms personalizing gaming experiences. Future trends indicate - a seamless blend of AI with augmented reality (AR) and virtual reality (VR), - creating interactive environments where the line between virtual and real worlds - blur. These advancements are not only transforming content creation but also - revolutionizing how audiences consume and interact with entertainment, predicting - a future where AI is an indispensable tool in the creative arsenal."}], "model": - "gpt-4o"}' - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate - connection: - - keep-alive - content-length: - - '13340' - content-type: - - application/json - cookie: - - __cf_bm=9.8sBYBkvBR8R1K_bVF7xgU..80XKlEIg3N2OBbTSCU-1727214102-1.0.1.1-.qiTLXbPamYUMSuyNsOEB9jhGu.jOifujOrx9E2JZvStbIZ9RTIiE44xKKNfLPxQkOi6qAT3h6htK8lPDGV_5g; - _cfuvid=lbRdAddVWV6W3f5Dm9SaOPWDUOxqtZBSPr_fTW26nEA-1727213194587-0.0.1.1-604800000 - host: - - api.openai.com - user-agent: - - OpenAI/Python 1.47.0 - x-stainless-arch: - - arm64 - x-stainless-async: - - 'false' - x-stainless-lang: - - python - x-stainless-os: - - MacOS - x-stainless-package-version: - - 1.47.0 - x-stainless-raw-response: - - 'true' - x-stainless-runtime: - - CPython - x-stainless-runtime-version: - - 3.11.7 - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: "{\n \"id\": \"chatcmpl-AB7fbCD4yK6bj5QJntUtu2G9jbXzH\",\n \"object\"\ - : \"chat.completion\",\n \"created\": 1727214455,\n \"model\": \"gpt-4o-2024-05-13\"\ - ,\n \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \ - \ \"role\": \"assistant\",\n \"content\": \"Thought: I now have\ - \ the final deliverables, consisting of the five article ideas along with\ - \ their detailed paragraphs. This completes the task as requested.\\n\\nFinal\ - \ Answer: \\n\\n1. **The Rise of AI in Healthcare: Transforming Patient Care\ - \ and Diagnostics**\\n AI is undeniably revolutionizing the healthcare sector,\ - \ introducing transformative changes in patient care and diagnostics. With\ - \ the advent of advanced diagnostic tools powered by AI, healthcare professionals\ - \ can now detect and monitor diseases with unprecedented accuracy and speed.\ - \ Personalized treatment plans, which were once a distant dream, are becoming\ - \ a reality as AI algorithms analyze vast amounts of patient data, tailoring\ - \ treatments that are specific to individual needs. Post-operative care has\ - \ also seen significant improvements, with AI-driven monitoring systems ensuring\ - \ that patients receive timely and effective care. Current achievements like\ - \ IBM Watson's oncology platform or Google's DeepMind in eye care are just\ - \ the beginning, with future applications promising to further enhance surgical\ - \ robotics, predictive analytics, and remote patient monitoring. However,\ - \ alongside these advancements, ethical considerations such as patient privacy,\ - \ data security, and decision-making transparency must be rigorously addressed\ - \ to fully harness AI’s potential in healthcare.\\n\\n2. **AI Agents in the\ - \ Workplace: Boosting Productivity and Shaping the Future of Jobs**\\n The\ - \ integration of AI agents in the workplace marks a pivotal shift in how businesses\ - \ operate and compete. These intelligent agents are revolutionizing various\ - \ industries by automating mundane tasks, optimizing workflows, and providing\ - \ actionable insights from data analysis. For instance, AI chatbots in customer\ - \ service can handle routine inquiries, freeing human agents to tackle more\ - \ complex issues. In manufacturing, AI systems predict equipment failures,\ - \ reducing downtime and maintaining peak productivity. By enhancing operational\ - \ efficiency, AI agents not only boost productivity but also reshape the future\ - \ of jobs. While the risk of job displacement is a valid concern, it concurrently\ - \ heralds opportunities for upskilling and creating new roles that harness\ - \ human creativity and strategic thinking. Preparing the workforce for these\ - \ changes is crucial, fostering a symbiotic relationship between AI and human\ - \ labor to drive innovation and economic growth.\\n\\n3. **Ethical AI: Ensuring\ - \ Fairness, Accountability, and Transparency**\\n As AI technologies become\ - \ increasingly pervasive, ensuring their ethical deployment is paramount.\ - \ Ethical AI demands the formulation and implementation of robust frameworks\ - \ that enshrine fairness, accountability, and transparency. Such frameworks\ - \ are essential in mitigating biases embedded within AI systems, which can\ - \ perpetuate and even exacerbate inequality. Case studies, such as the controversy\ - \ surrounding facial recognition systems and their racial biases, highlight\ - \ the pressing need for ethical oversight. Transparency in how AI models make\ - \ decisions, coupled with accountability measures for their outcomes, establishes\ - \ trust and integrity in AI applications. Legislative frameworks from the\ - \ EU’s GDPR to the IEEE’s global initiatives for ethical AI provide the scaffolding\ - \ for these principles. Companies are now faced with the challenge of integrating\ - \ these ethical considerations into their development processes, ensuring\ - \ that AI advancements benefit all of society equitably.\\n\\n4. **AI-Powered\ - \ Startups: Innovators Changing the Tech Landscape**\\n AI-powered startups\ - \ are at the forefront of a technological renaissance, disrupting traditional\ - \ business models and reshaping industries. These startups leverage AI to\ - \ offer innovative solutions, whether it's automating financial trading with\ - \ precision algorithms or enhancing cybersecurity through predictive analytics.\ - \ High-profile examples like OpenAI and UiPath illustrate the transformative\ - \ potential of AI-driven innovation. These companies face unique challenges,\ - \ from securing sufficient funding to navigating the complexities of large-scale\ - \ implementation. Venture capital plays a critical role in this ecosystem,\ - \ providing the necessary resources and support to turn bold ideas into impactful\ - \ realities. The synergy between AI innovation and entrepreneurial spirit\ - \ is fostering a dynamic landscape where the boundaries of technology and\ - \ commerce are continually expanding.\\n\\n5. **The Future of AI in Entertainment:\ - \ From Movies to Video Games**\\n The entertainment industry is undergoing\ - \ a metamorphic change with the integration of AI technologies, paving the\ - \ way for more immersive and engaging experiences. In movies, AI streamlines\ - \ the scriptwriting process, enhances special effects, and even predicts box\ - \ office success. Machine learning models analyze vast datasets to create\ - \ compelling narratives and optimize marketing strategies. Video games have\ - \ also been revolutionized by AI, with non-player characters (NPCs) displaying\ - \ more lifelike behaviors and adaptive learning algorithms personalizing gaming\ - \ experiences. Future trends indicate a seamless blend of AI with augmented\ - \ reality (AR) and virtual reality (VR), creating interactive environments\ - \ where the line between virtual and real worlds blur. These advancements\ - \ are not only transforming content creation but also revolutionizing how\ - \ audiences consume and interact with entertainment, predicting a future where\ - \ AI is an indispensable tool in the creative arsenal.\",\n \"refusal\"\ - : null\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\ - \n }\n ],\n \"usage\": {\n \"prompt_tokens\": 2453,\n \"completion_tokens\"\ - : 907,\n \"total_tokens\": 3360,\n \"completion_tokens_details\": {\n\ - \ \"reasoning_tokens\": 0\n }\n },\n \"system_fingerprint\": \"\ - fp_e375328146\"\n}\n" - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 8c85f94a0de91cf3-GRU - Connection: - - keep-alive - Content-Type: - - application/json - Date: - - Tue, 24 Sep 2024 21:47:48 GMT - Server: - - cloudflare - Transfer-Encoding: - - chunked - X-Content-Type-Options: - - nosniff - access-control-expose-headers: - - X-Request-ID - openai-organization: - - crewai-iuxna1 - openai-processing-ms: - - '13152' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=31536000; includeSubDomains; preload - x-ratelimit-limit-requests: - - '10000' - x-ratelimit-limit-tokens: - - '30000000' - x-ratelimit-remaining-requests: - - '9999' - x-ratelimit-remaining-tokens: - - '29996722' - x-ratelimit-reset-requests: - - 6ms - x-ratelimit-reset-tokens: - - 6ms - x-request-id: - - req_7fdc097dc5895a4d2d953e8b1a2479d1 - status: - code: 200 - message: OK -- request: - body: '{"messages": [{"role": "system", "content": "You are Crew Manager. You - are a seasoned manager with a knack for getting the best out of your team.\nYou - are also known for your ability to delegate work to the right people, and to - ask the right questions to get the best out of your team.\nEven though you don''t - perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\nYour personal - goal is: Manage the team to complete the task in the best way possible.\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: Delegate work to coworker\nTool Arguments: - {''task'': {''description'': ''The task to delegate'', ''type'': ''str''}, ''context'': - {''description'': ''The context for the task'', ''type'': ''str''}, ''coworker'': - {''description'': ''The role/name of the coworker to delegate to'', ''type'': - ''str''}}\nTool Description: Delegate a specific task to one of the following - coworkers: Researcher, Senior Writer\nThe input to this tool should be the coworker, - the task you want them to do, and ALL necessary context to execute the task, - they know nothing about the task, so share absolutely everything you know, don''t - reference things but instead explain them.\nTool Name: Ask question to coworker\nTool - Arguments: {''question'': {''description'': ''The question to ask'', ''type'': - ''str''}, ''context'': {''description'': ''The context for the question'', ''type'': - ''str''}, ''coworker'': {''description'': ''The role/name of the coworker to - ask'', ''type'': ''str''}}\nTool Description: Ask a specific question to one - of the following coworkers: Researcher, Senior Writer\nThe input to this tool - should be the coworker, the question you have for them, and ALL necessary context - to ask the question properly, they know nothing about the question, so share - absolutely everything you know, don''t reference things but instead explain - them.\n\nIMPORTANT: Use the following format in your response:\n\n```\nThought: - you should always think about what to do\nAction: the action to take, only one - name of [Delegate work to coworker, Ask question to coworker], just the name, - exactly as it''s written.\nAction Input: the input to the action, just a simple - JSON object, enclosed in curly braces, using \" to wrap keys and values.\nObservation: - the result of the action\n```\n\nOnce all necessary information is gathered, - return the following format:\n\n```\nThought: I now know the final answer\nFinal - Answer: the final answer to the original input question\n```"}, {"role": "user", - "content": "\nCurrent Task: Come up with a list of 5 interesting ideas to explore - for an article, then write one amazing paragraph highlight for each idea that - showcases how good an article about this topic could be. Return the list of - ideas with their paragraph and your notes.\n\nThis is the expected criteria - for your final answer: 5 bullet points with a paragraph for each idea.\nyou - MUST return the actual complete content as the final answer, not a summary.\n\nBegin! - This is VERY important to you, use the tools available and give your best Final - Answer, your job depends on it!\n\nThought:"}, {"role": "assistant", "content": - "Thought: The first step is to brainstorm and research interesting ideas for - the article. Since the task involves both research and writing, I will need - to delegate the brainstorming of ideas to the Researcher and the writing of - the paragraphs to the Senior Writer. \n\nAction: Delegate work to coworker\nAction - Input: {\"task\": \"Come up with a list of 5 interesting ideas to explore for - an article.\", \"context\": \"We need a list of 5 interesting ideas that would - make compelling articles. The topics should be relevant, timely, and engaging - for a broad audience.\", \"coworker\": \"Researcher\"}\nObservation: 1. **The - Rise of AI in Healthcare: Transforming Patient Care and Diagnostics**\n \"Imagine - a world where routine check-ups and complex diagnostics are seamlessly conducted - by intelligent systems. AI in healthcare is rapidly transforming this vision - into reality, enhancing patient care through early and accurate disease detection, - personalized treatment plans, and continuous health monitoring. This revolution - is not just a futuristic concept; it''s already happening with AI-driven technologies - enabling doctors to make more informed decisions and offering patients a more - proactive approach to their health. The ethical and privacy concerns, however, - pose new challenges that the industry must navigate to ensure responsible advancement.\"\n\n2. - **AI Agents in the Workplace: Boosting Productivity and Shaping the Future of - Jobs**\n \"The modern workplace is being redefined by the integration of AI - agents, intelligent systems designed to handle repetitive tasks, analyze vast - amounts of data, and assist in complex decision-making processes. These innovations - are boosting productivity, allowing employees to focus on creativity and strategic - thinking. The rise of AI in the workspace heralds a future where human and machine - collaboration leads to unparalleled efficiencies and novel job opportunities. - However, this shift also brings with it challenges related to job displacement - and the urgent need for reskilling the workforce to thrive in an AI-augmented - environment.\"\n\n3. **Ethical AI: Ensuring Fairness, Accountability, and Transparency**\n \"As - AI technology becomes more pervasive, the quest for ethical AI has become critical. - Ensuring fairness, accountability, and transparency in AI systems is essential - to prevent biases and promote trust. This involves creating robust frameworks - and guidelines that govern AI development and deployment. Real-world case studies - highlight both the triumphs and the tribulations of tech companies as they navigate - the complex moral landscape that AI presents. As society grapples with these - challenges, the push for ethical AI continues to drive innovation and policy-making - in the tech industry.\"\n\n4. **AI-Powered Startups: Innovators Changing the - Tech Landscape**\n \"In the bustling world of tech startups, AI-powered companies - are emerging as the vanguards of innovation, disrupting traditional business - models and reshaping entire industries. From revolutionizing financial services - to pioneering advances in healthcare and beyond, these startups are at the forefront - of technological progress. By leveraging machine learning and AI, they are solving - complex problems and bringing novel solutions to market at an unprecedented - pace. Investors are taking notice, pouring capital into these ventures, and - fueling a new wave of growth and competition in the AI ecosystem.\"\n\n5. **The - Future of AI in Entertainment: From Movies to Video Games**\n \"The entertainment - industry is undergoing a seismic shift driven by AI technology. In movies, AI - is revolutionizing special effects, enabling filmmakers to create stunning, - hyper-realistic worlds. In video games, AI is enhancing player experiences by - creating adaptive, intelligent characters and dynamic storylines that respond - to player choices. This transformative power of AI promises to push the boundaries - of creativity, offering audiences more immersive and interactive entertainment - experiences. As the technology continues to evolve, the future of entertainment - looks set to be more exciting and unpredictable than ever before.\""}, {"role": - "assistant", "content": "Thought: I''ll proceed to delegate the writing of one - amazing paragraph highlight for each of the identified ideas to the Senior Writer, - ensuring each topic is adequately detailed to showcase its potential.\n\nAction: - Delegate work to coworker\nAction Input: {\"task\": \"Write one amazing paragraph - highlight for each of these 5 ideas that showcases how good an article about - these topics could be.\", \"context\": \"Here are the 5 ideas:\\n1. The Rise - of AI in Healthcare: Transforming Patient Care and Diagnostics - Explore how - AI is revolutionizing healthcare through enhanced diagnostic tools, personalized - treatment plans, and post-operative care. Discuss current achievements, potential - future applications, and ethical considerations.\\n2. AI Agents in the Workplace: - Boosting Productivity and Shaping the Future of Jobs - Examine the integration - of AI agents in various industries. Highlight how these intelligent agents are - improving efficiency, automating mundane tasks, and assisting in decision-making - processes. Address potential job displacement and the need for upskilling the - workforce.\\n3. Ethical AI: Ensuring Fairness, Accountability, and Transparency - - Delve into the ethical implications of AI deployment. Analyze the frameworks - and guidelines being proposed to ensure AI systems are fair, transparent, and - accountable. Include case studies of ethical dilemmas faced by companies using - AI.\\n4. AI-Powered Startups: Innovators Changing the Tech Landscape - Provide - an overview of how AI-driven startups are disrupting traditional business models - and industries. Profile some of the most innovative startups, their business - models, and the unique challenges they face. 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Personalized - treatment plans, which were once a distant dream, are becoming a reality as - AI algorithms analyze vast amounts of patient data, tailoring treatments that - are specific to individual needs. Post-operative care has also seen significant - improvements, with AI-driven monitoring systems ensuring that patients receive - timely and effective care. Current achievements like IBM Watson''s oncology - platform or Google''s DeepMind in eye care are just the beginning, with future - applications promising to further enhance surgical robotics, predictive analytics, - and remote patient monitoring. However, alongside these advancements, ethical - considerations such as patient privacy, data security, and decision-making transparency - must be rigorously addressed to fully harness AI\u2019s potential in healthcare.\n\n2. - **AI Agents in the Workplace: Boosting Productivity and Shaping the Future of - Jobs**\n The integration of AI agents in the workplace marks a pivotal shift - in how businesses operate and compete. These intelligent agents are revolutionizing - various industries by automating mundane tasks, optimizing workflows, and providing - actionable insights from data analysis. For instance, AI chatbots in customer - service can handle routine inquiries, freeing human agents to tackle more complex - issues. In manufacturing, AI systems predict equipment failures, reducing downtime - and maintaining peak productivity. By enhancing operational efficiency, AI agents - not only boost productivity but also reshape the future of jobs. While the risk - of job displacement is a valid concern, it concurrently heralds opportunities - for upskilling and creating new roles that harness human creativity and strategic - thinking. Preparing the workforce for these changes is crucial, fostering a - symbiotic relationship between AI and human labor to drive innovation and economic - growth.\n\n3. **Ethical AI: Ensuring Fairness, Accountability, and Transparency**\n As - AI technologies become increasingly pervasive, ensuring their ethical deployment - is paramount. Ethical AI demands the formulation and implementation of robust - frameworks that enshrine fairness, accountability, and transparency. Such frameworks - are essential in mitigating biases embedded within AI systems, which can perpetuate - and even exacerbate inequality. Case studies, such as the controversy surrounding - facial recognition systems and their racial biases, highlight the pressing need - for ethical oversight. 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I have gathered the required ideas and crafted corresponding\ - \ paragraphs to meet the expectations of the task.\\n\\nFinal Answer:\\n1.\ - \ **The Rise of AI in Healthcare: Transforming Patient Care and Diagnostics**\\\ - n AI is undeniably revolutionizing the healthcare sector, introducing transformative\ - \ changes in patient care and diagnostics. With the advent of advanced diagnostic\ - \ tools powered by AI, healthcare professionals can now detect and monitor\ - \ diseases with unprecedented accuracy and speed. Personalized treatment plans,\ - \ which were once a distant dream, are becoming a reality as AI algorithms\ - \ analyze vast amounts of patient data, tailoring treatments that are specific\ - \ to individual needs. Post-operative care has also seen significant improvements,\ - \ with AI-driven monitoring systems ensuring that patients receive timely\ - \ and effective care. 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Ethical AI demands the formulation\ - \ and implementation of robust frameworks that enshrine fairness, accountability,\ - \ and transparency. Such frameworks are essential in mitigating biases embedded\ - \ within AI systems, which can perpetuate and even exacerbate inequality.\ - \ Case studies, such as the controversy surrounding facial recognition systems\ - \ and their racial biases, highlight the pressing need for ethical oversight.\ - \ Transparency in how AI models make decisions, coupled with accountability\ - \ measures for their outcomes, establishes trust and integrity in AI applications.\ - \ Legislative frameworks from the EU’s GDPR to the IEEE’s global initiatives\ - \ for ethical AI provide the scaffolding for these principles. Companies are\ - \ now faced with the challenge of integrating these ethical considerations\ - \ into their development processes, ensuring that AI advancements benefit\ - \ all of society equitably.\\n\\n4. **AI-Powered Startups: Innovators Changing\ - \ the Tech Landscape**\\n AI-powered startups are at the forefront of a\ - \ technological renaissance, disrupting traditional business models and reshaping\ - \ industries. These startups leverage AI to offer innovative solutions, whether\ - \ it's automating financial trading with precision algorithms or enhancing\ - \ cybersecurity through predictive analytics. High-profile examples like OpenAI\ - \ and UiPath illustrate the transformative potential of AI-driven innovation.\ - \ These companies face unique challenges, from securing sufficient funding\ - \ to navigating the complexities of large-scale implementation. 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Discuss how these advances are aiding + policymakers in making informed decisions to address climate risks and sustainability + goals.\\n\\n4. **The Ethical Frontiers of AI in Healthcare: Balancing Innovation + with Patient Privacy** \\nInvestigate ethical challenges posed by AI applications + in healthcare, including diagnosis, personalized treatment, and patient data + management. Focus on balancing rapid technological innovation with privacy, + bias mitigation, and regulatory frameworks to ensure equitable access and trust.\\n\\n5. + **Quantum Computing Meets AI: Exploring the Next Leap in Computational Power** + \ \\nCover the intersection of quantum computing and artificial intelligence, + exploring how quantum algorithms could accelerate AI training processes and + solve problems beyond the reach of classical computers. Outline current research, + potential breakthroughs, and the timeline for real-world applications.\\n\\nEach + of these topics is timely, relevant, and has the potential to engage readers + interested in cutting-edge technology, societal impact, and future trends. Let + me know if you want me to help develop an outline or deeper research into any + of these areas!\"},{\"role\":\"tool\",\"tool_call_id\":\"call_j4KH2SGZvNeioql0HcRQ9NTp\",\"name\":\"ask_question_to_coworker\",\"content\":\"Absolutely! + To create compelling and engaging AI articles that stand out, we need to go + beyond surface-level discussions and deliver fresh perspectives that challenge + assumptions and spark curiosity. Here are five unique angles with their highlight + paragraphs that could really captivate our readers:\\n\\n1. **The Hidden Psychology + of AI Agents: How They Learn Human Biases and What That Means for Our Future** + \ \\n*Highlight:* AI agents don\u2019t just process data\u2014they absorb the + subtle nuances and biases embedded in human language, behavior, and culture. + This article dives deep into the psychological parallels between AI learning + mechanisms and human cognitive biases, revealing surprising ways AI can both + mirror and amplify our prejudices. Understanding these dynamics is crucial for + building trustworthy AI systems and reshaping the future relationship between + humans and machines.\\n\\n2. **From Assistants to Autonomous Creators: The Rise + of AI Agents as Artists, Writers, and Innovators** \\n*Highlight:* What do + we lose and gain when AI agents start producing original art, literature, and + innovations? This piece explores groundbreaking examples where AI isn\u2019t + just a tool but a creative partner that challenges our definition of authorship + and genius. We\u2019ll examine ethical dilemmas, collaborative workflows, and + the exciting frontier where human intuition meets algorithmic originality.\\n\\n3. + **AI Agents in the Wild: How Decentralized Autonomous Organizations Could Redefine + Economy and Governance** \\n*Highlight:* Imagine AI agents operating autonomously + in decentralized networks, making real-time decisions that affect finances, + resource management, and governance without human intervention. This article + uncovers how DAOs powered by AI agents might spontaneously evolve new forms + of organization\u2014transparent, efficient, and resistant to traditional corruption. + We\u2019ll investigate early case studies and speculate on how this might disrupt + centuries-old societal structures.\\n\\n4. **Beyond Chatbots: The Next Generation + of AI Agents as Empathetic Digital Companions** \\n*Highlight:* Moving past + scripted conversations, emerging AI agents simulate empathy and emotional intelligence + in ways that can transform mental health care, education, and companionship. + This article provides an insider look at the complex algorithms and biofeedback + mechanisms enabling AI to recognize, respond to, and foster human emotions\u2014potentially + filling gaps in underserved populations while raising profound questions about + authenticity and connection.\\n\\n5. **The Environmental Toll of AI Agents: + Unmasking the Ecological Cost of Intelligent Automation** \\n*Highlight:* While + AI promises efficiency and innovation, the environmental footprint of training + and deploying millions of AI agents is rarely discussed. This eye-opening article + quantifies the energy demands of current models, challenges the narrative of + AI as an unequivocal green solution, and explores emerging approaches pathing + toward sustainable intelligent automation\u2014an urgent conversation for an + increasingly eco-conscious tech landscape.\\n\\nEach of these angles opens a + door to rich storytelling that blends technical depth, ethical inquiry, and + visionary implications\u2014perfect for readers hungry for insight that\u2019s + both sophisticated and accessible. Let me know which ones resonate most, or + if you want me to refine any into full article outlines!\"},{\"role\":\"user\",\"content\":\"Analyze + the tool result. If requirements are met, provide the Final Answer. Otherwise, + call the next tool. 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Discuss implications + for job automation, human-AI collaboration, and ethical considerations surrounding + decision-making autonomy.\\n\\n2. **Generative AI Beyond Text: Innovations + in Audio, Video, and 3D Content Creation** \\nDelve into advancements in + generative AI models that create not only text but also realistic audio, video + content, virtual environments, and 3D models. Highlight applications in gaming, + entertainment, education, and digital marketing, as well as challenges like + misinformation and deepfake detection.\\n\\n3. **AI-Driven Climate Modeling: + Enhancing Predictive Accuracy to Combat Climate Change** \\nExamine how AI + and machine learning are improving climate models by analyzing vast datasets, + uncovering patterns, and simulating environmental scenarios. Discuss how these + advances are aiding policymakers in making informed decisions to address climate + risks and sustainability goals.\\n\\n4. **The Ethical Frontiers of AI in Healthcare: + Balancing Innovation with Patient Privacy** \\nInvestigate ethical challenges + posed by AI applications in healthcare, including diagnosis, personalized + treatment, and patient data management. Focus on balancing rapid technological + innovation with privacy, bias mitigation, and regulatory frameworks to ensure + equitable access and trust.\\n\\n5. **Quantum Computing Meets AI: Exploring + the Next Leap in Computational Power** \\nCover the intersection of quantum + computing and artificial intelligence, exploring how quantum algorithms could + accelerate AI training processes and solve problems beyond the reach of classical + computers. 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\\n \\n - \ \\\"Open\\n \\n

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\\n \\n \\\"crewAIInc%2FcrewAI\\n \\n

\\n\\n

\\n - \ Homepage\\n \xB7\\n Docs\\n - \ \xB7\\n Start Cloud Trial\\n - \ \xB7\\n Blog\\n \xB7\\n Forum\\n

\\n\\n

\\n - \ \\n \\\"GitHub\\n \\n \\n - \ \\\"GitHub\\n \\n \\n - \ \\\"GitHub\\n \\n \\n - \ \\\"GitHub\\n \\n \\n - \ \\\"License:\\n \\n

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\\n \\n - \ \\\"PyPI\\n - \ \\n \\n \\\"PyPI\\n \\n \\n - \ \\\"Twitter\\n \\n

\\n\\n### Fast and Flexible Multi-Agent - Automation Framework\\n\\n> CrewAI is a lean, lightning-fast Python framework - built entirely from scratch\u2014completely **independent of LangChain or - other agent frameworks**.\\n> It empowers developers with both high-level - simplicity and precise low-level control, ideal for creating autonomous AI - agents tailored to any scenario.\\n\\n- **CrewAI Crews**: Optimize for autonomy - and collaborative intelligence.\\n- **CrewAI Flows**: Enable granular, event-driven - control, single LLM calls for precise task orchestration and supports Crews - natively\\n\\nWith over 100,000 developers certified through our community - courses at [learn.crewai.com](https://learn.crewai.com), CrewAI is rapidly - becoming the\\nstandard for enterprise-ready AI automation.\\n\\n# CrewAI - AMP Suite\\n\\nCrewAI AMP Suite is a comprehensive bundle tailored for organizations - that require secure, scalable, and easy-to-manage agent-driven automation.\\n\\nYou - can try one part of the suite the [Crew Control Plane for free](https://app.crewai.com)\\n\\n## - Crew Control Plane Key Features:\\n\\n- **Tracing & Observability**: Monitor - and track your AI agents and workflows in real-time, including metrics, logs, - and traces.\\n- **Unified Control Plane**: A centralized platform for managing, - monitoring, and scaling your AI agents and workflows.\\n- **Seamless Integrations**: - Easily connect with existing enterprise systems, data sources, and cloud infrastructure.\\n- - **Advanced Security**: Built-in robust security and compliance measures ensuring - safe deployment and management.\\n- **Actionable Insights**: Real-time analytics - and reporting to optimize performance and decision-making.\\n- **24/7 Support**: - Dedicated enterprise support to ensure uninterrupted operation and quick resolution - of issues.\\n- **On-premise and Cloud Deployment Options**: Deploy CrewAI - AMP on-premise or in the cloud, depending on your security and compliance - requirements.\\n\\nCrewAI AMP is designed for enterprises seeking a powerful, - reliable solution to transform complex business processes into efficient,\\nintelligent - automations.\\n\\n## Table of contents\\n\\n- [Why CrewAI?](#why-crewai)\\n- - [Getting Started](#getting-started)\\n- [Key Features](#key-features)\\n- - [Understanding Flows and Crews](#understanding-flows-and-crews)\\n- [CrewAI - vs LangGraph](#how-crewai-compares)\\n- [Examples](#examples)\\n - [Quick - Tutorial](#quick-tutorial)\\n - [Write Job Descriptions](#write-job-descriptions)\\n - \ - [Trip Planner](#trip-planner)\\n - [Stock Analysis](#stock-analysis)\\n - \ - [Using Crews and Flows Together](#using-crews-and-flows-together)\\n- - [Connecting Your Crew to a Model](#connecting-your-crew-to-a-model)\\n- [How - CrewAI Compares](#how-crewai-compares)\\n- [Frequently Asked Questions (FAQ)](#frequently-asked-questions-faq)\\n- - [Contribution](#contribution)\\n- [Telemetry](#telemetry)\\n- [License](#license)\\n\\n## - Why CrewAI?\\n\\n
\\n - \ \\\"CrewAI\\n
\\n\\nCrewAI - unlocks the true potential of multi-agent automation, delivering the best-in-class - combination of speed, flexibility, and control with either Crews of AI Agents - or Flows of Events:\\n\\n- **Standalone Framework**: Built from scratch, independent - of LangChain or any other agent framework.\\n- **High Performance**: Optimized - for speed and minimal resource usage, enabling faster execution.\\n- **Flexible - Low Level Customization**: Complete freedom to customize at both high and - low levels - from overall workflows and system architecture to granular agent - behaviors, internal prompts, and execution logic.\\n- **Ideal for Every Use - Case**: Proven effective for both simple tasks and highly complex, real-world, - enterprise-grade scenarios.\\n- **Robust Community**: Backed by a rapidly - growing community of over **100,000 certified** developers offering comprehensive - support and resources.\\n\\nCrewAI empowers developers and enterprises to - confidently build intelligent automations, bridging the gap between simplicity, - flexibility, and performance.\\n\\n## Getting Started\\n\\nSetup and run your - first CrewAI agents by following this tutorial.\\n\\n[![CrewAI Getting Started - Tutorial](https://img.youtube.com/vi/-kSOTtYzgEw/hqdefault.jpg)](https://www.youtube.com/watch?v=-kSOTtYzgEw - \\\"CrewAI Getting Started Tutorial\\\")\\n\\n###\\n\\nLearning Resources\\n\\nLearn - CrewAI through our comprehensive courses:\\n\\n- [Multi AI Agent Systems with - CrewAI](https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/) - - Master the fundamentals of multi-agent systems\\n- [Practical Multi AI Agents - and Advanced Use Cases](https://www.deeplearning.ai/short-courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai/) - - Deep dive into advanced implementations\\n\\n### Understanding Flows and - Crews\\n\\nCrewAI offers two powerful, complementary approaches that work - seamlessly together to build sophisticated AI applications:\\n\\n1. **Crews**: - Teams of AI agents with true autonomy and agency, working together to accomplish - complex tasks through role-based collaboration. Crews enable:\\n\\n - Natural, - autonomous decision-making between agents\\n - Dynamic task delegation and - collaboration\\n - Specialized roles with defined goals and expertise\\n - \ - Flexible problem-solving approaches\\n\\n2. **Flows**: Production-ready, - event-driven workflows that deliver precise control over complex automations. - Flows provide:\\n\\n - Fine-grained control over execution paths for real-world - scenarios\\n - Secure, consistent state management between tasks\\n - - Clean integration of AI agents with production Python code\\n - Conditional - branching for complex business logic\\n\\nThe true power of CrewAI emerges - when combining Crews and Flows. This synergy allows you to:\\n\\n- Build complex, - production-grade applications\\n- Balance autonomy with precise control\\n- - Handle sophisticated real-world scenarios\\n- Maintain clean, maintainable - code structure\\n\\n### Getting Started with Installation\\n\\nTo get started - with CrewAI, follow these simple steps:\\n\\n### 1. Installation\\n\\nEnsure - you have Python >=3.10 <3.14 installed on your system. CrewAI uses [UV](https://docs.astral.sh/uv/) - for dependency management and package handling, offering a seamless setup - and execution experience.\\n\\nFirst, install CrewAI:\\n\\n```shell\\npip - install crewai\\n```\\n\\nIf you want to install the 'crewai' package along - with its optional features that include additional tools for agents, you can - do so by using the following command:\\n\\n```shell\\npip install 'crewai[tools]'\\n```\\n\\nThe - command above installs the basic package and also adds extra components which - require more dependencies to function.\\n\\n### Troubleshooting Dependencies\\n\\nIf - you encounter issues during installation or usage, here are some common solutions:\\n\\n#### - Common Issues\\n\\n1. **ModuleNotFoundError: No module named 'tiktoken'**\\n\\n - \ - Install tiktoken explicitly: `pip install 'crewai[embeddings]'`\\n - - If using embedchain or other tools: `pip install 'crewai[tools]'`\\n\\n2. - **Failed building wheel for tiktoken**\\n\\n - Ensure Rust compiler is installed - (see installation steps above)\\n - For Windows: Verify Visual C++ Build - Tools are installed\\n - Try upgrading pip: `pip install --upgrade pip`\\n - \ - If issues persist, use a pre-built wheel: `pip install tiktoken --prefer-binary`\\n\\n### - 2. Setting Up Your Crew with the YAML Configuration\\n\\nTo create a new CrewAI - project, run the following CLI (Command Line Interface) command:\\n\\n```shell\\ncrewai - create crew \\n```\\n\\nThis command creates a new project folder - with the following structure:\\n\\n```\\nmy_project/\\n\u251C\u2500\u2500 - .gitignore\\n\u251C\u2500\u2500 pyproject.toml\\n\u251C\u2500\u2500 README.md\\n\u251C\u2500\u2500 - .env\\n\u2514\u2500\u2500 src/\\n \u2514\u2500\u2500 my_project/\\n \u251C\u2500\u2500 - __init__.py\\n \u251C\u2500\u2500 main.py\\n \u251C\u2500\u2500 - crew.py\\n \u251C\u2500\u2500 tools/\\n \u2502 \u251C\u2500\u2500 - custom_tool.py\\n \u2502 \u2514\u2500\u2500 __init__.py\\n \u2514\u2500\u2500 - config/\\n \u251C\u2500\u2500 agents.yaml\\n \u2514\u2500\u2500 - tasks.yaml\\n```\\n\\nYou can now start developing your crew by editing the - files in the `src/my_project` folder. The `main.py` file is the entry point - of the project, the `crew.py` file is where you define your crew, the `agents.yaml` - file is where you define your agents, and the `tasks.yaml` file is where you - define your tasks.\\n\\n#### To customize your project, you can:\\n\\n- Modify - `src/my_project/config/agents.yaml` to define your agents.\\n- Modify `src/my_project/config/tasks.yaml` - to define your tasks.\\n- Modify `src/my_project/crew.py` to add your own - logic, tools, and specific arguments.\\n- Modify `src/my_project/main.py` - to add custom inputs for your agents and tasks.\\n- Add your environment variables - into the `.env` file.\\n\\n#### Example of a simple crew with a sequential - process:\\n\\nInstantiate your crew:\\n\\n```shell\\ncrewai create crew latest-ai-development\\n```\\n\\nModify - the files as needed to fit your use case:\\n\\n**agents.yaml**\\n\\n```yaml\\n# - src/my_project/config/agents.yaml\\nresearcher:\\n role: >\\n {topic} - Senior Data Researcher\\n goal: >\\n Uncover cutting-edge developments - in {topic}\\n backstory: >\\n You're a seasoned researcher with a knack - for uncovering the latest\\n developments in {topic}. Known for your ability - to find the most relevant\\n information and present it in a clear and - concise manner.\\n\\nreporting_analyst:\\n role: >\\n {topic} Reporting - Analyst\\n goal: >\\n Create detailed reports based on {topic} data analysis - and research findings\\n backstory: >\\n You're a meticulous analyst with - a keen eye for detail. You're known for\\n your ability to turn complex - data into clear and concise reports, making\\n it easy for others to understand - and act on the information you provide.\\n```\\n\\n**tasks.yaml**\\n\\n````yaml\\n# - src/my_project/config/tasks.yaml\\nresearch_task:\\n description: >\\n Conduct - a thorough research about {topic}\\n Make sure you find any interesting - and relevant information given\\n the current year is 2025.\\n expected_output: - >\\n A list with 10 bullet points of the most relevant information about - {topic}\\n agent: researcher\\n\\nreporting_task:\\n description: >\\n Review - the context you got and expand each topic into a full section for a report.\\n - \ Make sure the report is detailed and contains any and all relevant information.\\n - \ expected_output: >\\n A fully fledge reports with the mains topics, each - with a full section of information.\\n Formatted as markdown without '```'\\n - \ agent: reporting_analyst\\n output_file: report.md\\n````\\n\\n**crew.py**\\n\\n```python\\n# - src/my_project/crew.py\\nfrom crewai import Agent, Crew, Process, Task\\nfrom - crewai.project import CrewBase, agent, crew, task\\nfrom crewai_tools import - SerperDevTool\\nfrom crewai.agents.agent_builder.base_agent import BaseAgent\\nfrom - typing import List\\n\\n@CrewBase\\nclass LatestAiDevelopmentCrew():\\n\\t\\\"\\\"\\\"LatestAiDevelopment - crew\\\"\\\"\\\"\\n\\tagents: List[BaseAgent]\\n\\ttasks: List[Task]\\n\\n\\t@agent\\n\\tdef - researcher(self) -> Agent:\\n\\t\\treturn Agent(\\n\\t\\t\\tconfig=self.agents_config['researcher'],\\n\\t\\t\\tverbose=True,\\n\\t\\t\\ttools=[SerperDevTool()]\\n\\t\\t)\\n\\n\\t@agent\\n\\tdef - reporting_analyst(self) -> Agent:\\n\\t\\treturn Agent(\\n\\t\\t\\tconfig=self.agents_config['reporting_analyst'],\\n\\t\\t\\tverbose=True\\n\\t\\t)\\n\\n\\t@task\\n\\tdef - research_task(self) -> Task:\\n\\t\\treturn Task(\\n\\t\\t\\tconfig=self.tasks_config['research_task'],\\n\\t\\t)\\n\\n\\t@task\\n\\tdef - reporting_task(self) -> Task:\\n\\t\\treturn Task(\\n\\t\\t\\tconfig=self.tasks_config['reporting_task'],\\n\\t\\t\\toutput_file='report.md'\\n\\t\\t)\\n\\n\\t@crew\\n\\tdef - crew(self) -> Crew:\\n\\t\\t\\\"\\\"\\\"Creates the LatestAiDevelopment crew\\\"\\\"\\\"\\n\\t\\treturn - Crew(\\n\\t\\t\\tagents=self.agents, # Automatically created by the @agent - decorator\\n\\t\\t\\ttasks=self.tasks, # Automatically created by the @task - decorator\\n\\t\\t\\tprocess=Process.sequential,\\n\\t\\t\\tverbose=True,\\n\\t\\t)\\n```\\n\\n**main.py**\\n\\n```python\\n#!/usr/bin/env - python\\n# src/my_project/main.py\\nimport sys\\nfrom latest_ai_development.crew - import LatestAiDevelopmentCrew\\n\\ndef run():\\n \\\"\\\"\\\"\\n Run - the crew.\\n \\\"\\\"\\\"\\n inputs = {\\n 'topic': 'AI Agents'\\n - \ }\\n LatestAiDevelopmentCrew().crew().kickoff(inputs=inputs)\\n```\\n\\n### - 3. Running Your Crew\\n\\nBefore running your crew, make sure you have the - following keys set as environment variables in your `.env` file:\\n\\n- An - [OpenAI API key](https://platform.openai.com/account/api-keys) (or other LLM - API key): `OPENAI_API_KEY=sk-...`\\n- A [Serper.dev](https://serper.dev/) - API key: `SERPER_API_KEY=YOUR_KEY_HERE`\\n\\nLock the dependencies and install - them by using the CLI command but first, navigate to your project directory:\\n\\n```shell\\ncd - my_project\\ncrewai install (Optional)\\n```\\n\\nTo run your crew, execute - the following command in the root of your project:\\n\\n```bash\\ncrewai run\\n```\\n\\nor\\n\\n```bash\\npython - src/my_project/main.py\\n```\\n\\nIf an error happens due to the usage of - poetry, please run the following command to update your crewai package:\\n\\n```bash\\ncrewai - update\\n```\\n\\nYou should see the output in the console and the `report.md` - file should be created in the root of your project with the full final report.\\n\\nIn - addition to the sequential process, you can use the hierarchical process, - which automatically assigns a manager to the defined crew to properly coordinate - the planning and execution of tasks through delegation and validation of results. - [See more about the processes here](https://docs.crewai.com/core-concepts/Processes/).\\n\\n## - Key Features\\n\\nCrewAI stands apart as a lean, standalone, high-performance - multi-AI Agent framework delivering simplicity, flexibility, and precise control\u2014free - from the complexity and limitations found in other agent frameworks.\\n\\n- - **Standalone & Lean**: Completely independent from other frameworks like LangChain, - offering faster execution and lighter resource demands.\\n- **Flexible & Precise**: - Easily orchestrate autonomous agents through intuitive [Crews](https://docs.crewai.com/concepts/crews) - or precise [Flows](https://docs.crewai.com/concepts/flows), achieving perfect - balance for your needs.\\n- **Seamless Integration**: Effortlessly combine - Crews (autonomy) and Flows (precision) to create complex, real-world automations.\\n- - **Deep Customization**: Tailor every aspect\u2014from high-level workflows - down to low-level internal prompts and agent behaviors.\\n- **Reliable Performance**: - Consistent results across simple tasks and complex, enterprise-level automations.\\n- - **Thriving Community**: Backed by robust documentation and over 100,000 certified - developers, providing exceptional support and guidance.\\n\\nChoose CrewAI - to easily build powerful, adaptable, and production-ready AI automations.\\n\\n## - Examples\\n\\nYou can test different real life examples of AI crews in the - [CrewAI-examples repo](https://github.com/crewAIInc/crewAI-examples?tab=readme-ov-file):\\n\\n- - [Landing Page Generator](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/landing_page_generator)\\n- - [Having Human input on the execution](https://docs.crewai.com/how-to/Human-Input-on-Execution)\\n- - [Trip Planner](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner)\\n- - [Stock Analysis](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis)\\n\\n### - Quick Tutorial\\n\\n[![CrewAI Tutorial](https://img.youtube.com/vi/tnejrr-0a94/maxresdefault.jpg)](https://www.youtube.com/watch?v=tnejrr-0a94 - \\\"CrewAI Tutorial\\\")\\n\\n### Write Job Descriptions\\n\\n[Check out code - for this example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/job-posting) - or watch a video below:\\n\\n[![Jobs postings](https://img.youtube.com/vi/u98wEMz-9to/maxresdefault.jpg)](https://www.youtube.com/watch?v=u98wEMz-9to - \\\"Jobs postings\\\")\\n\\n### Trip Planner\\n\\n[Check out code for this - example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner) - or watch a video below:\\n\\n[![Trip Planner](https://img.youtube.com/vi/xis7rWp-hjs/maxresdefault.jpg)](https://www.youtube.com/watch?v=xis7rWp-hjs - \\\"Trip Planner\\\")\\n\\n### Stock Analysis\\n\\n[Check out code for this - example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis) - or watch a video below:\\n\\n[![Stock Analysis](https://img.youtube.com/vi/e0Uj4yWdaAg/maxresdefault.jpg)](https://www.youtube.com/watch?v=e0Uj4yWdaAg - \\\"Stock Analysis\\\")\\n\\n### Using Crews and Flows Together\\n\\nCrewAI's - power truly shines when combining Crews with Flows to create sophisticated - automation pipelines.\\nCrewAI flows support logical operators like `or_` - and `and_` to combine multiple conditions. This can be used with `@start`, - `@listen`, or `@router` decorators to create complex triggering conditions.\\n\\n- - `or_`: Triggers when any of the specified conditions are met.\\n- `and_`Triggers - when all of the specified conditions are met.\\n\\nHere's how you can orchestrate - multiple Crews within a Flow:\\n\\n```python\\nfrom crewai.flow.flow import - Flow, listen, start, router, or_\\nfrom crewai import Crew, Agent, Task, Process\\nfrom - pydantic import BaseModel\\n\\n# Define structured state for precise control\\nclass - MarketState(BaseModel):\\n sentiment: str = \\\"neutral\\\"\\n confidence: - float = 0.0\\n recommendations: list = []\\n\\nclass AdvancedAnalysisFlow(Flow[MarketState]):\\n - \ @start()\\n def fetch_market_data(self):\\n # Demonstrate low-level - control with structured state\\n self.state.sentiment = \\\"analyzing\\\"\\n - \ return {\\\"sector\\\": \\\"tech\\\", \\\"timeframe\\\": \\\"1W\\\"} - \ # These parameters match the task description template\\n\\n @listen(fetch_market_data)\\n - \ def analyze_with_crew(self, market_data):\\n # Show crew agency - through specialized roles\\n analyst = Agent(\\n role=\\\"Senior - Market Analyst\\\",\\n goal=\\\"Conduct deep market analysis with - expert insight\\\",\\n backstory=\\\"You're a veteran analyst known - for identifying subtle market patterns\\\"\\n )\\n researcher - = Agent(\\n role=\\\"Data Researcher\\\",\\n goal=\\\"Gather - and validate supporting market data\\\",\\n backstory=\\\"You excel - at finding and correlating multiple data sources\\\"\\n )\\n\\n analysis_task - = Task(\\n description=\\\"Analyze {sector} sector data for the - past {timeframe}\\\",\\n expected_output=\\\"Detailed market analysis - with confidence score\\\",\\n agent=analyst\\n )\\n research_task - = Task(\\n description=\\\"Find supporting data to validate the - analysis\\\",\\n expected_output=\\\"Corroborating evidence and - potential contradictions\\\",\\n agent=researcher\\n )\\n\\n - \ # Demonstrate crew autonomy\\n analysis_crew = Crew(\\n agents=[analyst, - researcher],\\n tasks=[analysis_task, research_task],\\n process=Process.sequential,\\n - \ verbose=True\\n )\\n return analysis_crew.kickoff(inputs=market_data) - \ # Pass market_data as named inputs\\n\\n @router(analyze_with_crew)\\n - \ def determine_next_steps(self):\\n # Show flow control with conditional - routing\\n if self.state.confidence > 0.8:\\n return \\\"high_confidence\\\"\\n - \ elif self.state.confidence > 0.5:\\n return \\\"medium_confidence\\\"\\n - \ return \\\"low_confidence\\\"\\n\\n @listen(\\\"high_confidence\\\")\\n - \ def execute_strategy(self):\\n # Demonstrate complex decision making\\n - \ strategy_crew = Crew(\\n agents=[\\n Agent(role=\\\"Strategy - Expert\\\",\\n goal=\\\"Develop optimal market strategy\\\")\\n - \ ],\\n tasks=[\\n Task(description=\\\"Create - detailed strategy based on analysis\\\",\\n expected_output=\\\"Step-by-step - action plan\\\")\\n ]\\n )\\n return strategy_crew.kickoff()\\n\\n - \ @listen(or_(\\\"medium_confidence\\\", \\\"low_confidence\\\"))\\n def - request_additional_analysis(self):\\n self.state.recommendations.append(\\\"Gather - more data\\\")\\n return \\\"Additional analysis required\\\"\\n```\\n\\nThis - example demonstrates how to:\\n\\n1. Use Python code for basic data operations\\n2. - Create and execute Crews as steps in your workflow\\n3. Use Flow decorators - to manage the sequence of operations\\n4. Implement conditional branching - based on Crew results\\n\\n## Connecting Your Crew to a Model\\n\\nCrewAI - supports using various LLMs through a variety of connection options. By default - your agents will use the OpenAI API when querying the model. However, there - are several other ways to allow your agents to connect to models. For example, - you can configure your agents to use a local model via the Ollama tool.\\n\\nPlease - refer to the [Connect CrewAI to LLMs](https://docs.crewai.com/how-to/LLM-Connections/) - page for details on configuring your agents' connections to models.\\n\\n## - How CrewAI Compares\\n\\n**CrewAI's Advantage**: CrewAI combines autonomous - agent intelligence with precise workflow control through its unique Crews - and Flows architecture. The framework excels at both high-level orchestration - and low-level customization, enabling complex, production-grade systems with - granular control.\\n\\n- **LangGraph**: While LangGraph provides a foundation - for building agent workflows, its approach requires significant boilerplate - code and complex state management patterns. The framework's tight coupling - with LangChain can limit flexibility when implementing custom agent behaviors - or integrating with external systems.\\n\\n_P.S. CrewAI demonstrates significant - performance advantages over LangGraph, executing 5.76x faster in certain cases - like this QA task example ([see comparison](https://github.com/crewAIInc/crewAI-examples/tree/main/Notebooks/CrewAI%20Flows%20%26%20Langgraph/QA%20Agent)) - while achieving higher evaluation scores with faster completion times in certain - coding tasks, like in this example ([detailed analysis](https://github.com/crewAIInc/crewAI-examples/blob/main/Notebooks/CrewAI%20Flows%20%26%20Langgraph/Coding%20Assistant/coding_assistant_eval.ipynb))._\\n\\n- - **Autogen**: While Autogen excels at creating conversational agents capable - of working together, it lacks an inherent concept of process. In Autogen, - orchestrating agents' interactions requires additional programming, which - can become complex and cumbersome as the scale of tasks grows.\\n- **ChatDev**: - ChatDev introduced the idea of processes into the realm of AI agents, but - its implementation is quite rigid. Customizations in ChatDev are limited and - not geared towards production environments, which can hinder scalability and - flexibility in real-world applications.\\n\\n## Contribution\\n\\nCrewAI is - open-source and we welcome contributions. If you're looking to contribute, - please:\\n\\n- Fork the repository.\\n- Create a new branch for your feature.\\n- - Add your feature or improvement.\\n- Send a pull request.\\n- We appreciate - your input!\\n\\n### Installing Dependencies\\n\\n```bash\\nuv lock\\nuv sync\\n```\\n\\n### - Virtual Env\\n\\n```bash\\nuv venv\\n```\\n\\n### Pre-commit hooks\\n\\n```bash\\npre-commit - install\\n```\\n\\n### Running Tests\\n\\n```bash\\nuv run pytest .\\n```\\n\\n### - Running static type checks\\n\\n```bash\\nuvx mypy src\\n```\\n\\n### Packaging\\n\\n```bash\\nuv - build\\n```\\n\\n### Installing Locally\\n\\n```bash\\npip install dist/*.tar.gz\\n```\\n\\n## - Telemetry\\n\\nCrewAI uses anonymous telemetry to collect usage data with - the main purpose of helping us improve the library by focusing our efforts - on the most used features, integrations and tools.\\n\\nIt's pivotal to understand - that **NO data is collected** concerning prompts, task descriptions, agents' - backstories or goals, usage of tools, API calls, responses, any data processed - by the agents, or secrets and environment variables, with the exception of - the conditions mentioned. When the `share_crew` feature is enabled, detailed - data including task descriptions, agents' backstories or goals, and other - specific attributes are collected to provide deeper insights while respecting - user privacy. Users can disable telemetry by setting the environment variable - OTEL_SDK_DISABLED to true.\\n\\nData collected includes:\\n\\n- Version of - CrewAI\\n - So we can understand how many users are using the latest version\\n- - Version of Python\\n - So we can decide on what versions to better support\\n- - General OS (e.g. number of CPUs, macOS/Windows/Linux)\\n - So we know what - OS we should focus on and if we could build specific OS related features\\n- - Number of agents and tasks in a crew\\n - So we make sure we are testing - internally with similar use cases and educate people on the best practices\\n- - Crew Process being used\\n - Understand where we should focus our efforts\\n- - If Agents are using memory or allowing delegation\\n - Understand if we improved - the features or maybe even drop them\\n- If Tasks are being executed in parallel - or sequentially\\n - Understand if we should focus more on parallel execution\\n- - Language model being used\\n - Improved support on most used languages\\n- - Roles of agents in a crew\\n - Understand high level use cases so we can - build better tools, integrations and examples about it\\n- Tools names available\\n - \ - Understand out of the publicly available tools, which ones are being used - the most so we can improve them\\n\\nUsers can opt-in to Further Telemetry, - sharing the complete telemetry data by setting the `share_crew` attribute - to `True` on their Crews. Enabling `share_crew` results in the collection - of detailed crew and task execution data, including `goal`, `backstory`, `context`, - and `output` of tasks. This enables a deeper insight into usage patterns while - respecting the user's choice to share.\\n\\n## License\\n\\nCrewAI is released - under the [MIT License](https://github.com/crewAIInc/crewAI/blob/main/LICENSE).\\n\\n## - Frequently Asked Questions (FAQ)\\n\\n### General\\n\\n- [What exactly is - CrewAI?](#q-what-exactly-is-crewai)\\n- [How do I install CrewAI?](#q-how-do-i-install-crewai)\\n- - [Does CrewAI depend on LangChain?](#q-does-crewai-depend-on-langchain)\\n- - [Is CrewAI open-source?](#q-is-crewai-open-source)\\n- [Does CrewAI collect - data from users?](#q-does-crewai-collect-data-from-users)\\n\\n### Features - and Capabilities\\n\\n- [Can CrewAI handle complex use cases?](#q-can-crewai-handle-complex-use-cases)\\n- - [Can I use CrewAI with local AI models?](#q-can-i-use-crewai-with-local-ai-models)\\n- - [What makes Crews different from Flows?](#q-what-makes-crews-different-from-flows)\\n- - [How is CrewAI better than LangChain?](#q-how-is-crewai-better-than-langchain)\\n- - [Does CrewAI support fine-tuning or training custom models?](#q-does-crewai-support-fine-tuning-or-training-custom-models)\\n\\n### - Resources and Community\\n\\n- [Where can I find real-world CrewAI examples?](#q-where-can-i-find-real-world-crewai-examples)\\n- - [How can I contribute to CrewAI?](#q-how-can-i-contribute-to-crewai)\\n\\n### - Enterprise Features\\n\\n- [What additional features does CrewAI AMP offer?](#q-what-additional-features-does-crewai-enterprise-offer)\\n- - [Is CrewAI AMP available for cloud and on-premise deployments?](#q-is-crewai-enterprise-available-for-cloud-and-on-premise-deployments)\\n- - [Can I try CrewAI AMP for free?](#q-can-i-try-crewai-enterprise-for-free)\\n\\n### - Q: What exactly is CrewAI?\\n\\nA: CrewAI is a standalone, lean, and fast - Python framework built specifically for orchestrating autonomous AI agents. - Unlike frameworks like LangChain, CrewAI does not rely on external dependencies, - making it leaner, faster, and simpler.\\n\\n### Q: How do I install CrewAI?\\n\\nA: - Install CrewAI using pip:\\n\\n```shell\\npip install crewai\\n```\\n\\nFor - additional tools, use:\\n\\n```shell\\npip install 'crewai[tools]'\\n```\\n\\n### - Q: Does CrewAI depend on LangChain?\\n\\nA: No. CrewAI is built entirely from - the ground up, with no dependencies on LangChain or other agent frameworks. - This ensures a lean, fast, and flexible experience.\\n\\n### Q: Can CrewAI - handle complex use cases?\\n\\nA: Yes. CrewAI excels at both simple and highly - complex real-world scenarios, offering deep customization options at both - high and low levels, from internal prompts to sophisticated workflow orchestration.\\n\\n### - Q: Can I use CrewAI with local AI models?\\n\\nA: Absolutely! CrewAI supports - various language models, including local ones. Tools like Ollama and LM Studio - allow seamless integration. Check the [LLM Connections documentation](https://docs.crewai.com/how-to/LLM-Connections/) - for more details.\\n\\n### Q: What makes Crews different from Flows?\\n\\nA: - Crews provide autonomous agent collaboration, ideal for tasks requiring flexible - decision-making and dynamic interaction. Flows offer precise, event-driven - control, ideal for managing detailed execution paths and secure state management. - You can seamlessly combine both for maximum effectiveness.\\n\\n### Q: How - is CrewAI better than LangChain?\\n\\nA: CrewAI provides simpler, more intuitive - APIs, faster execution speeds, more reliable and consistent results, robust - documentation, and an active community\u2014addressing common criticisms and - limitations associated with LangChain.\\n\\n### Q: Is CrewAI open-source?\\n\\nA: - Yes, CrewAI is open-source and actively encourages community contributions - and collaboration.\\n\\n### Q: Does CrewAI collect data from users?\\n\\nA: - CrewAI collects anonymous telemetry data strictly for improvement purposes. - Sensitive data such as prompts, tasks, or API responses are never collected - unless explicitly enabled by the user.\\n\\n### Q: Where can I find real-world - CrewAI examples?\\n\\nA: Check out practical examples in the [CrewAI-examples - repository](https://github.com/crewAIInc/crewAI-examples), covering use cases - like trip planners, stock analysis, and job postings.\\n\\n### Q: How can - I contribute to CrewAI?\\n\\nA: Contributions are warmly welcomed! Fork the - repository, create your branch, implement your changes, and submit a pull - request. See the Contribution section of the README for detailed guidelines.\\n\\n### - Q: What additional features does CrewAI AMP offer?\\n\\nA: CrewAI AMP provides - advanced features such as a unified control plane, real-time observability, - secure integrations, advanced security, actionable insights, and dedicated - 24/7 enterprise support.\\n\\n### Q: Is CrewAI AMP available for cloud and - on-premise deployments?\\n\\nA: Yes, CrewAI AMP supports both cloud-based - and on-premise deployment options, allowing enterprises to meet their specific - security and compliance requirements.\\n\\n### Q: Can I try CrewAI AMP for - free?\\n\\nA: Yes, you can explore part of the CrewAI AMP Suite by accessing - the [Crew Control Plane](https://app.crewai.com) for free.\\n\\n### Q: Does - CrewAI support fine-tuning or training custom models?\\n\\nA: Yes, CrewAI - can integrate with custom-trained or fine-tuned models, allowing you to enhance - your agents with domain-specific knowledge and accuracy.\\n\\n### Q: Can CrewAI - agents interact with external tools and APIs?\\n\\nA: Absolutely! CrewAI agents - can easily integrate with external tools, APIs, and databases, empowering - them to leverage real-world data and resources.\\n\\n### Q: Is CrewAI suitable - for production environments?\\n\\nA: Yes, CrewAI is explicitly designed with - production-grade standards, ensuring reliability, stability, and scalability - for enterprise deployments.\\n\\n### Q: How scalable is CrewAI?\\n\\nA: CrewAI - is highly scalable, supporting simple automations and large-scale enterprise - workflows involving numerous agents and complex tasks simultaneously.\\n\\n### - Q: Does CrewAI offer debugging and monitoring tools?\\n\\nA: Yes, CrewAI AMP - includes advanced debugging, tracing, and real-time observability features, - simplifying the management and troubleshooting of your automations.\\n\\n### - Q: What programming languages does CrewAI support?\\n\\nA: CrewAI is primarily - Python-based but easily integrates with services and APIs written in any programming - language through its flexible API integration capabilities.\\n\\n### Q: Does - CrewAI offer educational resources for beginners?\\n\\nA: Yes, CrewAI provides - extensive beginner-friendly tutorials, courses, and documentation through - learn.crewai.com, supporting developers at all skill levels.\\n\\n### Q: Can - CrewAI automate human-in-the-loop workflows?\\n\\nA: Yes, CrewAI fully supports - human-in-the-loop workflows, allowing seamless collaboration between human - experts and AI agents for enhanced decision-making.\\n\",\"description_content_type\":\"text/markdown\",\"docs_url\":null,\"download_url\":null,\"downloads\":{\"last_day\":-1,\"last_month\":-1,\"last_week\":-1},\"dynamic\":null,\"home_page\":null,\"keywords\":null,\"license\":null,\"license_expression\":null,\"license_files\":null,\"maintainer\":null,\"maintainer_email\":null,\"name\":\"crewai\",\"package_url\":\"https://pypi.org/project/crewai/\",\"platform\":null,\"project_url\":\"https://pypi.org/project/crewai/\",\"project_urls\":{\"Documentation\":\"https://docs.crewai.com\",\"Homepage\":\"https://crewai.com\",\"Repository\":\"https://github.com/crewAIInc/crewAI\"},\"provides_extra\":[\"a2a\",\"anthropic\",\"aws\",\"azure-ai-inference\",\"bedrock\",\"docling\",\"embeddings\",\"file-processing\",\"google-genai\",\"litellm\",\"mem0\",\"openpyxl\",\"pandas\",\"qdrant\",\"tools\",\"voyageai\",\"watson\"],\"release_url\":\"https://pypi.org/project/crewai/1.10.1/\",\"requires_dist\":[\"aiosqlite~=0.21.0\",\"appdirs~=1.4.4\",\"chromadb~=1.1.0\",\"click~=8.1.7\",\"httpx~=0.28.1\",\"instructor>=1.3.3\",\"json-repair~=0.25.2\",\"json5~=0.10.0\",\"jsonref~=1.1.0\",\"lancedb>=0.29.2\",\"mcp~=1.26.0\",\"openai<3,>=1.83.0\",\"openpyxl~=3.1.5\",\"opentelemetry-api~=1.34.0\",\"opentelemetry-exporter-otlp-proto-http~=1.34.0\",\"opentelemetry-sdk~=1.34.0\",\"pdfplumber~=0.11.4\",\"portalocker~=2.7.0\",\"pydantic-settings~=2.10.1\",\"pydantic~=2.11.9\",\"pyjwt<3,>=2.9.0\",\"python-dotenv~=1.1.1\",\"regex~=2026.1.15\",\"textual>=7.5.0\",\"tokenizers<1,>=0.21\",\"tomli-w~=1.1.0\",\"tomli~=2.0.2\",\"uv~=0.9.13\",\"a2a-sdk~=0.3.10; - extra == \\\"a2a\\\"\",\"aiocache[memcached,redis]~=0.12.3; extra == \\\"a2a\\\"\",\"httpx-auth~=0.23.1; - extra == \\\"a2a\\\"\",\"httpx-sse~=0.4.0; extra == \\\"a2a\\\"\",\"anthropic~=0.73.0; - extra == \\\"anthropic\\\"\",\"aiobotocore~=2.25.2; extra == \\\"aws\\\"\",\"boto3~=1.40.38; - extra == \\\"aws\\\"\",\"azure-ai-inference~=1.0.0b9; extra == \\\"azure-ai-inference\\\"\",\"boto3~=1.40.45; - extra == \\\"bedrock\\\"\",\"docling~=2.75.0; extra == \\\"docling\\\"\",\"tiktoken~=0.8.0; - extra == \\\"embeddings\\\"\",\"crewai-files; extra == \\\"file-processing\\\"\",\"google-genai~=1.65.0; - extra == \\\"google-genai\\\"\",\"litellm<3,>=1.74.9; extra == \\\"litellm\\\"\",\"mem0ai~=0.1.94; - extra == \\\"mem0\\\"\",\"openpyxl~=3.1.5; extra == \\\"openpyxl\\\"\",\"pandas~=2.2.3; - extra == \\\"pandas\\\"\",\"qdrant-client[fastembed]~=1.14.3; extra == \\\"qdrant\\\"\",\"crewai-tools==1.10.1; - extra == \\\"tools\\\"\",\"voyageai~=0.3.5; extra == \\\"voyageai\\\"\",\"ibm-watsonx-ai~=1.3.39; - extra == \\\"watson\\\"\"],\"requires_python\":\"<3.14,>=3.10\",\"summary\":\"Cutting-edge - framework for orchestrating role-playing, autonomous AI agents. 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The paragraph should serve as a teaser that showcases the potential - of each article topic.\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' - headers: - User-Agent: - - X-USER-AGENT-XXX - accept: - - application/json - accept-encoding: - - ACCEPT-ENCODING-XXX - authorization: - - AUTHORIZATION-XXX - connection: - - keep-alive - content-length: - - '988' - content-type: - - application/json - host: - - api.openai.com - x-stainless-arch: - - X-STAINLESS-ARCH-XXX - x-stainless-async: - - 'false' - x-stainless-lang: - - python - x-stainless-os: - - X-STAINLESS-OS-XXX - x-stainless-package-version: - - 1.83.0 - x-stainless-read-timeout: - - X-STAINLESS-READ-TIMEOUT-XXX - x-stainless-retry-count: - - '0' - x-stainless-runtime: - - CPython - x-stainless-runtime-version: - - 3.13.3 - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: "{\n \"id\": \"chatcmpl-DIkUeS7UZne0uF581fpySTW76WSTy\",\n \"object\": - \"chat.completion\",\n \"created\": 1773360996,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n - \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Certainly! Here\u2019s a compelling - paragraph that teases the potential of each article idea, crafted to captivate - readers right from the opening line:\\n\\nImagine a world where artificial - intelligence doesn\u2019t just assist but actively thinks, learns, and decides - autonomously\u2014this is the thrilling frontier of AI agents, reshaping industries - and daily life alike. From the ground-breaking ways AI-driven agents revolutionize - software engineering by optimizing code and accelerating innovation, to their - pivotal role in startups where smart automation fuels unprecedented growth - and competitive edges, each article delves into a facet of AI that promises - to redefine our future. Readers will be drawn into stories of how these intelligent - systems mimic human cognition, transform mundane workflows, and unlock new - realms of possibility, all while navigating ethical considerations and the - evolving landscape of AI research. This series invites you to explore not - just the technology itself, but the profound impact AI agents are set to have - on how we create, collaborate, and innovate in an increasingly connected world.\",\n - \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": - null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 179,\n \"completion_tokens\": 193,\n \"total_tokens\": 372,\n \"prompt_tokens_details\": + \ \"arguments\": \"{\\\"task\\\": \\\"Generate 5 interesting ideas + for an article that have current relevance or intrigue.\\\", \\\"context\\\": + \\\"I need a list of 5 intriguing article topics that capture the imagination + and relevance for today's readers. Each idea should be based on current trends, + global issues, scientific advancements, or human interest stories that are + likely to engage a broad audience.\\\", \\\"coworker\\\": \\\"Researcher\\\"}\"\n + \ }\n },\n {\n \"id\": \"call_7m0XmBFCIDpYkvS9HnBZcdWc\",\n + \ \"type\": \"function\",\n \"function\": {\n \"name\": + \"ask_question_to_coworker\",\n \"arguments\": \"{\\\"question\\\": + \\\"How can we write compelling paragraph highlights for the selected article + ideas to showcase their potential?\\\", \\\"context\\\": \\\"Once we have + a list of 5 intriguing article ideas, we need to craft a paragraph for each + that captures the essence and potential of the article. Each paragraph should + highlight why the topic is interesting and worth delving into. These paragraphs + are key to drawing the audience's interest.\\\", \\\"coworker\\\": \\\"Senior + Writer\\\"}\"\n }\n }\n ],\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"tool_calls\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 476,\n \"completion_tokens\": 205,\n \"total_tokens\": 681,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_ffab8c3ad6\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_b7c8e3f100\"\n}\n" headers: CF-Cache-Status: - DYNAMIC CF-Ray: - - 9db6d9d3cb3e27f6-EWR + - 9db91c3dfb08fccc-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Fri, 13 Mar 2026 00:16:40 GMT + - Fri, 13 Mar 2026 06:51:32 GMT Server: - cloudflare Strict-Transport-Security: @@ -765,7 +123,7 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '3686' + - '3462' openai-project: - OPENAI-PROJECT-XXX openai-version: @@ -797,13 +155,15 @@ interactions: You work as a freelancer and is now working on doing research and analysis for a new customer.\nYour personal goal is: Make the best research and analysis on content about AI and AI agents"},{"role":"user","content":"\nCurrent Task: - Generate a list of 5 interesting ideas to explore for an article.\n\nThis is - the expected criteria for your final answer: Your best answer to your coworker + Generate 5 interesting ideas for an article that have current relevance or intrigue.\n\nThis + is the expected criteria for your final answer: Your best answer to your coworker asking you this, accounting for the context shared.\nyou MUST return the actual complete content as the final answer, not a summary.\n\nThis is the context - you''re working with:\nWe need creative and engaging topics that are current - and have a broad appeal. Consider trending topics or evergreen themes that can - capture a wide audience.\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + you''re working with:\nI need a list of 5 intriguing article topics that capture + the imagination and relevance for today''s readers. Each idea should be based + on current trends, global issues, scientific advancements, or human interest + stories that are likely to engage a broad audience.\n\nProvide your complete + response:"}],"model":"gpt-4.1-mini"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -816,7 +176,7 @@ interactions: connection: - keep-alive content-length: - - '942' + - '1067' content-type: - application/json host: @@ -843,42 +203,39 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-DIkUeKwuiS9KOXP8tK1q724zQHhrg\",\n \"object\": - \"chat.completion\",\n \"created\": 1773360996,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-DIqercRDOhy5hCO778GaNoDRfjrmG\",\n \"object\": + \"chat.completion\",\n \"created\": 1773384693,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Here are five interesting and timely - ideas to explore for an article that can engage a broad audience, especially - given the current landscape of AI and technology:\\n\\n1. **The Rise of Autonomous - AI Agents: How Intelligent Bots Are Changing Workflows Across Industries** - \ \\n Explore how AI agents\u2014self-directed software entities\u2014are - being integrated into business processes, from customer service chatbots to - autonomous data analysts. Discuss the benefits, challenges, and future implications - of these AI-driven workflows.\\n\\n2. **Beyond ChatGPT: The Next Generation - of AI Models and What They Mean for Everyday Users** \\n An in-depth look - at emerging AI models beyond the popular ones, focusing on advancements in - multi-modal AI, real-time learning agents, and personalized AI assistants. - Highlight how these innovations could transform everyday tasks and user experiences.\\n\\n3. - **Ethics in AI: Balancing Innovation and Responsibility in the Age of Intelligent - Machines** \\n A timely examination of ethical considerations surrounding - AI deployment\u2014privacy, bias, transparency, and accountability. Provide - examples of companies successfully implementing ethical AI practices and discuss - frameworks that can help guide responsible AI development.\\n\\n4. **AI for - Creative Minds: How Artificial Intelligence is Revolutionizing Art, Music, - and Writing** \\n Investigate how AI tools are collaborating with human - creativity in producing art, music, and literature. Discuss current AI creativity - platforms, the debate over authorship, and the opportunities AI presents for - creative professionals and amateurs alike.\\n\\n5. **The Future of Work with - AI: Preparing for Collaboration Between Humans and Intelligent Agents** \\n - \ Discuss how AI augmentation is reshaping job roles and skill requirements. - Focus on strategies for upskilling the workforce, fostering human-AI collaboration, - and what it means for employers, employees, and education systems moving forward.\\n\\nThese - topics are designed to be engaging, accessible, and relevant to both tech-savvy - audiences and general readers curious about AI\u2019s impact on society. Let - me know if you want me to develop outlines or gather recent data and case - studies for any of these ideas!\",\n \"refusal\": null,\n \"annotations\": + \"assistant\",\n \"content\": \"1. **The Rise of Autonomous AI Agents: + How Smart Software Is Redefining Work and Creativity** \\n Explore how + advanced AI agents are transforming industries by autonomously performing + complex tasks\u2014from coding and content creation to customer service and + scientific research. Discuss the implications for the future of employment, + creativity, and human-AI collaboration, highlighting cutting-edge examples + and ethical considerations.\\n\\n2. **AI for Climate Action: Innovative Technologies + Tackling the Global Environmental Crisis** \\n Delve into the latest breakthroughs + in AI-driven climate solutions, such as predictive models for natural disasters, + AI-enhanced renewable energy optimization, and smart agriculture. Illustrate + how these technologies are being deployed worldwide to address urgent environmental + challenges and the roadblocks they still face.\\n\\n3. **The Future of Mental + Health: AI-Powered Therapies and Emotional Support Systems** \\n Investigate + the burgeoning field of AI in mental health care, including virtual therapists, + emotional AI companions, and early detection algorithms. Examine real-world + applications, efficacy studies, privacy concerns, and how these tools could + democratize access to mental health resources globally.\\n\\n4. **Quantum + Computing Meets AI: Unleashing a New Era of Problem Solving** \\n Analyze + recent advances at the intersection of quantum computing and artificial intelligence, + focusing on how this synergy could exponentially accelerate data processing, + optimize complex systems, and enable breakthroughs in materials science, cryptography, + and drug discovery.\\n\\n5. **AI and the Ethics of Deepfake Technology: Navigating + Truth and Misinformation in the Digital Age** \\n Discuss the challenges + posed by AI-generated deepfakes in politics, entertainment, and social media. + Examine current detection techniques, regulatory responses, and the societal + impact of manipulated media, emphasizing the importance of digital literacy + and responsible AI development.\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 171,\n \"completion_tokens\": - 403,\n \"total_tokens\": 574,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 192,\n \"completion_tokens\": + 352,\n \"total_tokens\": 544,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": @@ -887,13 +244,13 @@ interactions: CF-Cache-Status: - DYNAMIC CF-Ray: - - 9db6d9d3bcc3f21e-EWR + - 9db91c5a7cbcb9c6-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Fri, 13 Mar 2026 00:16:44 GMT + - Fri, 13 Mar 2026 06:51:38 GMT Server: - cloudflare Strict-Transport-Security: @@ -909,7 +266,176 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '7618' + - '4722' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Senior Writer. You''re + a senior writer, specialized in technology, software engineering, AI and startups. + You work as a freelancer and are now working on writing content for a new customer.\nYour + personal goal is: Write the best content about AI and AI agents."},{"role":"user","content":"\nCurrent + Task: How can we write compelling paragraph highlights for the selected article + ideas to showcase their potential?\n\nThis is the expected criteria for your + final answer: Your best answer to your coworker asking you this, accounting + for the context shared.\nyou MUST return the actual complete content as the + final answer, not a summary.\n\nThis is the context you''re working with:\nOnce + we have a list of 5 intriguing article ideas, we need to craft a paragraph for + each that captures the essence and potential of the article. Each paragraph + should highlight why the topic is interesting and worth delving into. These + paragraphs are key to drawing the audience''s interest.\n\nProvide your complete + response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1082' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-DIqer4D90JWJ0CX6kzRgC64blREos\",\n \"object\": + \"chat.completion\",\n \"created\": 1773384693,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Absolutely, crafting compelling paragraph + highlights is all about distilling the core intrigue and relevance of each + article idea into a concise, engaging pitch. Here\u2019s how I approach it, + and a few best practices to keep in mind as we develop these:\\n\\n1. **Lead + with the Hook:** Start the paragraph with a sentence that immediately grabs + attention\u2014this could be a provocative question, a surprising statistic, + or a bold statement. This sets the tone and sparks curiosity.\\n\\n2. **Showcase + the Relevance:** Quickly connect the topic to current trends, challenges, + or emerging opportunities in AI and tech. Readers want to know why this matters + now.\\n\\n3. **Highlight the Unique Angle:** Emphasize what makes this article + stand out. Maybe it\u2019s exploring a newly emerging AI agent technology, + debunking common misconceptions, or offering exclusive insights from industry + pioneers.\\n\\n4. **Promise Value:** Convey what readers will gain\u2014be + it actionable insights, deep understanding, or foresight into the future of + AI.\\n\\n5. **Maintain an Engaging Tone:** Use clear, compelling, and accessible + language that appeals to both tech-savvy professionals and interested newcomers.\\n\\n---\\n\\n**Example + Paragraph Highlights for Article Ideas on AI Agents:**\\n\\n- *\u201CThe Rise + of Autonomous AI Agents: Changing the Landscape of Software Development\u201D* + \ \\nImagine software that doesn't just follow instructions but thinks and + acts independently to solve complex problems. This article dives into how + autonomous AI agents are revolutionizing software engineering, automating + workflows, and elevating productivity. We\u2019ll explore cutting-edge use + cases, the technological breakthroughs behind these agents, and the profound + impact they\u2019re poised to have on startups and enterprises alike.\\n\\n- + *\u201CDemystifying AI Agent Architectures: Navigating Complexity with Clarity\u201D* + \ \\nAI agents come in many forms, but understanding their underlying architectures + is key to harnessing their power. This piece breaks down complex concepts + into digestible insights, comparing various AI agent designs and evaluating + their strengths and limitations. It\u2019s essential reading for engineers + and decision-makers who want to build or invest in intelligent systems that + can learn, adapt, and excel.\\n\\n- *\u201CEthics and AI Agents: Navigating + the Moral Frontier in Autonomous Systems\u201D* \\nAs AI agents grow more + capable, the ethical challenges they pose become more urgent. From biases + to accountability, this article tackles the moral questions we must address + to develop responsible AI. We\u2019ll unpack real-world dilemmas and highlight + frameworks that can guide ethical deployment\u2014critical knowledge for anyone + shaping the future of AI technology.\\n\\n- *\u201CStartups Leveraging AI + Agents for Disruptive Innovation\u201D* \\nStartups are at the forefront + of AI agent innovation, using these intelligent systems to disrupt traditional + industries. This article showcases inspiring case studies where AI agents + have transformed sectors like healthcare, finance, and customer service. Readers + will discover how these nimble companies are overcoming obstacles, capturing + value, and setting new standards in AI-driven innovation.\\n\\n- *\u201CThe + Future of Human-AI Collaboration: Partnering with Intelligent Agents\u201D* + \ \\nAI agents are not just tools\u2014they\u2019re collaborators redefining + how humans work with technology. This article envisions the future of human-AI + partnerships, exploring how intelligent agents can complement human creativity + and decision-making. It offers a compelling glimpse into a future workplace + energized by synergy between humans and smart machines.\\n\\n---\\n\\nBy focusing + each highlight on a strong hook, contextual relevance, unique insights, and + reader value, we ensure these paragraphs not only inform but also excite the + audience about the articles to come. This approach will make our content stand + out and drive deeper engagement from the start.\",\n \"refusal\": null,\n + \ \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": + \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": 197,\n \"completion_tokens\": + 716,\n \"total_tokens\": 913,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_a1611518a7\"\n}\n" + headers: + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9db91c5a7c0e8c51-EWR + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Fri, 13 Mar 2026 06:51:43 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '10541' openai-project: - OPENAI-PROJECT-XXX openai-version: @@ -948,62 +474,98 @@ interactions: good an article about this topic could be. Return the list of ideas with their paragraph and your notes.\\n\\nThis is the expected criteria for your final answer: 5 bullet points with a paragraph for each idea.\\nyou MUST return the - actual complete content as the final answer, not a summary.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_WpDMT9puoRVrcOvAlMSfLutE\",\"type\":\"function\",\"function\":{\"name\":\"delegate_work_to_coworker\",\"arguments\":\"{\\\"task\\\": - \\\"Generate a list of 5 interesting ideas to explore for an article.\\\", \\\"context\\\": - \\\"We need creative and engaging topics that are current and have a broad appeal. - Consider trending topics or evergreen themes that can capture a wide audience.\\\", - \\\"coworker\\\": \\\"Researcher\\\"}\"}},{\"id\":\"call_gp08bFk7SulDl7vHkCoNx4cG\",\"type\":\"function\",\"function\":{\"name\":\"delegate_work_to_coworker\",\"arguments\":\"{\\\"task\\\": - \\\"Compile an amazing paragraph that highlights how an article could be engaging - for each idea provided by the Researcher.\\\", \\\"context\\\": \\\"The ideas - need to be compelling enough to capture the reader's attention right from the - start. The paragraph should serve as a teaser that showcases the potential of - each article topic.\\\", \\\"coworker\\\": \\\"Senior Writer\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_WpDMT9puoRVrcOvAlMSfLutE\",\"name\":\"delegate_work_to_coworker\",\"content\":\"Here - are five interesting and timely ideas to explore for an article that can engage - a broad audience, especially given the current landscape of AI and technology:\\n\\n1. - **The Rise of Autonomous AI Agents: How Intelligent Bots Are Changing Workflows - Across Industries** \\n Explore how AI agents\u2014self-directed software - entities\u2014are being integrated into business processes, from customer service - chatbots to autonomous data analysts. Discuss the benefits, challenges, and - future implications of these AI-driven workflows.\\n\\n2. **Beyond ChatGPT: - The Next Generation of AI Models and What They Mean for Everyday Users** \\n - \ An in-depth look at emerging AI models beyond the popular ones, focusing - on advancements in multi-modal AI, real-time learning agents, and personalized - AI assistants. Highlight how these innovations could transform everyday tasks - and user experiences.\\n\\n3. **Ethics in AI: Balancing Innovation and Responsibility - in the Age of Intelligent Machines** \\n A timely examination of ethical - considerations surrounding AI deployment\u2014privacy, bias, transparency, and - accountability. Provide examples of companies successfully implementing ethical - AI practices and discuss frameworks that can help guide responsible AI development.\\n\\n4. - **AI for Creative Minds: How Artificial Intelligence is Revolutionizing Art, - Music, and Writing** \\n Investigate how AI tools are collaborating with - human creativity in producing art, music, and literature. Discuss current AI - creativity platforms, the debate over authorship, and the opportunities AI presents - for creative professionals and amateurs alike.\\n\\n5. **The Future of Work - with AI: Preparing for Collaboration Between Humans and Intelligent Agents** - \ \\n Discuss how AI augmentation is reshaping job roles and skill requirements. - Focus on strategies for upskilling the workforce, fostering human-AI collaboration, - and what it means for employers, employees, and education systems moving forward.\\n\\nThese - topics are designed to be engaging, accessible, and relevant to both tech-savvy - audiences and general readers curious about AI\u2019s impact on society. Let - me know if you want me to develop outlines or gather recent data and case studies - for any of these ideas!\"},{\"role\":\"tool\",\"tool_call_id\":\"call_gp08bFk7SulDl7vHkCoNx4cG\",\"name\":\"delegate_work_to_coworker\",\"content\":\"Certainly! - Here\u2019s a compelling paragraph that teases the potential of each article - idea, crafted to captivate readers right from the opening line:\\n\\nImagine - a world where artificial intelligence doesn\u2019t just assist but actively - thinks, learns, and decides autonomously\u2014this is the thrilling frontier - of AI agents, reshaping industries and daily life alike. From the ground-breaking - ways AI-driven agents revolutionize software engineering by optimizing code - and accelerating innovation, to their pivotal role in startups where smart automation - fuels unprecedented growth and competitive edges, each article delves into a - facet of AI that promises to redefine our future. Readers will be drawn into - stories of how these intelligent systems mimic human cognition, transform mundane - workflows, and unlock new realms of possibility, all while navigating ethical - considerations and the evolving landscape of AI research. This series invites - you to explore not just the technology itself, but the profound impact AI agents - are set to have on how we create, collaborate, and innovate in an increasingly - connected world.\"},{\"role\":\"user\",\"content\":\"Analyze the tool result. - If requirements are met, provide the Final Answer. Otherwise, call the next - tool. Deliver only the answer without meta-commentary.\"}],\"model\":\"gpt-4o\",\"tool_choice\":\"auto\",\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"delegate_work_to_coworker\",\"description\":\"Delegate + actual complete content as the final answer, not a summary.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_5omViKE1yqLKGtws4THp877m\",\"type\":\"function\",\"function\":{\"name\":\"delegate_work_to_coworker\",\"arguments\":\"{\\\"task\\\": + \\\"Generate 5 interesting ideas for an article that have current relevance + or intrigue.\\\", \\\"context\\\": \\\"I need a list of 5 intriguing article + topics that capture the imagination and relevance for today's readers. Each + idea should be based on current trends, global issues, scientific advancements, + or human interest stories that are likely to engage a broad audience.\\\", \\\"coworker\\\": + \\\"Researcher\\\"}\"}},{\"id\":\"call_7m0XmBFCIDpYkvS9HnBZcdWc\",\"type\":\"function\",\"function\":{\"name\":\"ask_question_to_coworker\",\"arguments\":\"{\\\"question\\\": + \\\"How can we write compelling paragraph highlights for the selected article + ideas to showcase their potential?\\\", \\\"context\\\": \\\"Once we have a + list of 5 intriguing article ideas, we need to craft a paragraph for each that + captures the essence and potential of the article. Each paragraph should highlight + why the topic is interesting and worth delving into. These paragraphs are key + to drawing the audience's interest.\\\", \\\"coworker\\\": \\\"Senior Writer\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5omViKE1yqLKGtws4THp877m\",\"name\":\"delegate_work_to_coworker\",\"content\":\"1. + **The Rise of Autonomous AI Agents: How Smart Software Is Redefining Work and + Creativity** \\n Explore how advanced AI agents are transforming industries + by autonomously performing complex tasks\u2014from coding and content creation + to customer service and scientific research. Discuss the implications for the + future of employment, creativity, and human-AI collaboration, highlighting cutting-edge + examples and ethical considerations.\\n\\n2. **AI for Climate Action: Innovative + Technologies Tackling the Global Environmental Crisis** \\n Delve into the + latest breakthroughs in AI-driven climate solutions, such as predictive models + for natural disasters, AI-enhanced renewable energy optimization, and smart + agriculture. Illustrate how these technologies are being deployed worldwide + to address urgent environmental challenges and the roadblocks they still face.\\n\\n3. + **The Future of Mental Health: AI-Powered Therapies and Emotional Support Systems** + \ \\n Investigate the burgeoning field of AI in mental health care, including + virtual therapists, emotional AI companions, and early detection algorithms. + Examine real-world applications, efficacy studies, privacy concerns, and how + these tools could democratize access to mental health resources globally.\\n\\n4. + **Quantum Computing Meets AI: Unleashing a New Era of Problem Solving** \\n + \ Analyze recent advances at the intersection of quantum computing and artificial + intelligence, focusing on how this synergy could exponentially accelerate data + processing, optimize complex systems, and enable breakthroughs in materials + science, cryptography, and drug discovery.\\n\\n5. **AI and the Ethics of Deepfake + Technology: Navigating Truth and Misinformation in the Digital Age** \\n Discuss + the challenges posed by AI-generated deepfakes in politics, entertainment, and + social media. Examine current detection techniques, regulatory responses, and + the societal impact of manipulated media, emphasizing the importance of digital + literacy and responsible AI development.\"},{\"role\":\"tool\",\"tool_call_id\":\"call_7m0XmBFCIDpYkvS9HnBZcdWc\",\"name\":\"ask_question_to_coworker\",\"content\":\"Absolutely, + crafting compelling paragraph highlights is all about distilling the core intrigue + and relevance of each article idea into a concise, engaging pitch. Here\u2019s + how I approach it, and a few best practices to keep in mind as we develop these:\\n\\n1. + **Lead with the Hook:** Start the paragraph with a sentence that immediately + grabs attention\u2014this could be a provocative question, a surprising statistic, + or a bold statement. This sets the tone and sparks curiosity.\\n\\n2. **Showcase + the Relevance:** Quickly connect the topic to current trends, challenges, or + emerging opportunities in AI and tech. Readers want to know why this matters + now.\\n\\n3. **Highlight the Unique Angle:** Emphasize what makes this article + stand out. Maybe it\u2019s exploring a newly emerging AI agent technology, debunking + common misconceptions, or offering exclusive insights from industry pioneers.\\n\\n4. + **Promise Value:** Convey what readers will gain\u2014be it actionable insights, + deep understanding, or foresight into the future of AI.\\n\\n5. **Maintain an + Engaging Tone:** Use clear, compelling, and accessible language that appeals + to both tech-savvy professionals and interested newcomers.\\n\\n---\\n\\n**Example + Paragraph Highlights for Article Ideas on AI Agents:**\\n\\n- *\u201CThe Rise + of Autonomous AI Agents: Changing the Landscape of Software Development\u201D* + \ \\nImagine software that doesn't just follow instructions but thinks and acts + independently to solve complex problems. This article dives into how autonomous + AI agents are revolutionizing software engineering, automating workflows, and + elevating productivity. We\u2019ll explore cutting-edge use cases, the technological + breakthroughs behind these agents, and the profound impact they\u2019re poised + to have on startups and enterprises alike.\\n\\n- *\u201CDemystifying AI Agent + Architectures: Navigating Complexity with Clarity\u201D* \\nAI agents come + in many forms, but understanding their underlying architectures is key to harnessing + their power. This piece breaks down complex concepts into digestible insights, + comparing various AI agent designs and evaluating their strengths and limitations. + It\u2019s essential reading for engineers and decision-makers who want to build + or invest in intelligent systems that can learn, adapt, and excel.\\n\\n- *\u201CEthics + and AI Agents: Navigating the Moral Frontier in Autonomous Systems\u201D* \\nAs + AI agents grow more capable, the ethical challenges they pose become more urgent. + From biases to accountability, this article tackles the moral questions we must + address to develop responsible AI. We\u2019ll unpack real-world dilemmas and + highlight frameworks that can guide ethical deployment\u2014critical knowledge + for anyone shaping the future of AI technology.\\n\\n- *\u201CStartups Leveraging + AI Agents for Disruptive Innovation\u201D* \\nStartups are at the forefront + of AI agent innovation, using these intelligent systems to disrupt traditional + industries. This article showcases inspiring case studies where AI agents have + transformed sectors like healthcare, finance, and customer service. Readers + will discover how these nimble companies are overcoming obstacles, capturing + value, and setting new standards in AI-driven innovation.\\n\\n- *\u201CThe + Future of Human-AI Collaboration: Partnering with Intelligent Agents\u201D* + \ \\nAI agents are not just tools\u2014they\u2019re collaborators redefining + how humans work with technology. This article envisions the future of human-AI + partnerships, exploring how intelligent agents can complement human creativity + and decision-making. It offers a compelling glimpse into a future workplace + energized by synergy between humans and smart machines.\\n\\n---\\n\\nBy focusing + each highlight on a strong hook, contextual relevance, unique insights, and + reader value, we ensure these paragraphs not only inform but also excite the + audience about the articles to come. This approach will make our content stand + out and drive deeper engagement from the start.\"},{\"role\":\"user\",\"content\":\"Analyze + the tool result. If requirements are met, provide the Final Answer. Otherwise, + call the next tool. Deliver only the answer without meta-commentary.\"}],\"model\":\"gpt-4o\",\"tool_choice\":\"auto\",\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"delegate_work_to_coworker\",\"description\":\"Delegate a specific task to one of the following coworkers: Researcher, Senior Writer\\nThe input to this tool should be the coworker, the task you want them to do, and ALL necessary context to execute the task, they know nothing about the task, @@ -1032,7 +594,7 @@ interactions: connection: - keep-alive content-length: - - '7446' + - '10277' content-type: - application/json cookie: @@ -1061,47 +623,48 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-DIkUm0bjt0yGuvOoncvm10PDjwYdu\",\n \"object\": - \"chat.completion\",\n \"created\": 1773361004,\n \"model\": \"gpt-4o-2024-08-06\",\n + string: "{\n \"id\": \"chatcmpl-DIqf2xX10Hgre0gAt0AY57U4IJfn0\",\n \"object\": + \"chat.completion\",\n \"created\": 1773384704,\n \"model\": \"gpt-4o-2024-08-06\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"1. **The Rise of Autonomous AI Agents: - How Intelligent Bots Are Changing Workflows Across Industries** \\n Imagine - a world where artificial intelligence doesn\u2019t just assist but actively - thinks, learns, and decides autonomously\u2014this is the thrilling frontier - of AI agents, reshaping industries and daily life alike. From the groundbreaking - ways AI-driven agents revolutionize software engineering by optimizing code - and accelerating innovation, to their pivotal role in startups where smart - automation fuels unprecedented growth and competitive edges, each article - delves into a facet of AI that promises to redefine our future. Readers will - be drawn into stories of how these intelligent systems mimic human cognition, - transform mundane workflows, and unlock new realms of possibility, all while - navigating ethical considerations and the evolving landscape of AI research. - This series invites you to explore not just the technology itself, but the - profound impact AI agents are set to have on how we create, collaborate, and - innovate in an increasingly connected world.\\n\\n2. **Beyond ChatGPT: The - Next Generation of AI Models and What They Mean for Everyday Users** \\n - \ An in-depth look at emerging AI models beyond the popular ones, focusing - on advancements in multi-modal AI, real-time learning agents, and personalized - AI assistants. Highlight how these innovations could transform everyday tasks - and user experiences.\\n\\n3. **Ethics in AI: Balancing Innovation and Responsibility - in the Age of Intelligent Machines** \\n A timely examination of ethical - considerations surrounding AI deployment\u2014privacy, bias, transparency, - and accountability. Provide examples of companies successfully implementing - ethical AI practices and discuss frameworks that can help guide responsible - AI development.\\n\\n4. **AI for Creative Minds: How Artificial Intelligence - is Revolutionizing Art, Music, and Writing** \\n Investigate how AI tools - are collaborating with human creativity in producing art, music, and literature. - Discuss current AI creativity platforms, the debate over authorship, and the - opportunities AI presents for creative professionals and amateurs alike.\\n\\n5. - **The Future of Work with AI: Preparing for Collaboration Between Humans and - Intelligent Agents** \\n Discuss how AI augmentation is reshaping job roles - and skill requirements. Focus on strategies for upskilling the workforce, - fostering human-AI collaboration, and what it means for employers, employees, - and education systems moving forward.\",\n \"refusal\": null,\n \"annotations\": - []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 1309,\n \"completion_tokens\": - 445,\n \"total_tokens\": 1754,\n \"prompt_tokens_details\": {\n \"cached_tokens\": - 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + How Smart Software Is Redefining Work and Creativity** \\n Imagine software + that doesn't just follow instructions but thinks and acts independently to + solve complex problems. This article dives into how autonomous AI agents are + revolutionizing industries by automating workflows, elevating productivity, + and transforming creative processes. Explore cutting-edge examples and the + implications for future employment, creativity, and human-AI collaboration, + all while considering the ethical dimensions of this technological leap.\\n\\n2. + **AI for Climate Action: Innovative Technologies Tackling the Global Environmental + Crisis** \\n The fight against climate change is getting a high-tech upgrade + with AI-driven innovations. Delve into how predictive models for natural disasters, + AI-enhanced energy optimization, and smart agriculture are revolutionizing + global efforts to address environmental challenges. Unveil the roadblocks + still faced and explore the tangible impact these technologies are having + across the globe in the urgent quest for sustainability.\\n\\n3. **The Future + of Mental Health: AI-Powered Therapies and Emotional Support Systems** \\n + \ Discover the frontier of mental health care where AI is providing new hope + through virtual therapists, emotional AI companions, and early detection algorithms. + This article investigates real-world applications, examines efficacy studies, + and explores how these tools could democratize access to mental health resources + globally, while scrutinizing privacy concerns and ethical implications in + this delicate field.\\n\\n4. **Quantum Computing Meets AI: Unleashing a New + Era of Problem Solving** \\n At the intersection of quantum computing and + artificial intelligence lies a potential revolution in data processing speed. + Analyze how this synergy promises to optimize complex systems and enable breakthroughs + in fields like materials science and cryptography. Dive into the cutting-edge + research that may soon transform industries and redefine the boundaries of + what\u2019s computationally possible.\\n\\n5. **AI and the Ethics of Deepfake + Technology: Navigating Truth and Misinformation in the Digital Age** \\n + \ Deepfake technology poses significant challenges across politics, entertainment, + and social media. This article discusses the methods being developed to detect + these manipulations, examines current regulatory responses, and explores the + societal impact of manipulated media. Emphasizing the importance of digital + literacy and responsible AI development, this piece illuminates the path forward + in navigating the truths and falsehoods of the digital world.\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 1855,\n \"completion_tokens\": 456,\n \"total_tokens\": 2311,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": \"default\",\n \"system_fingerprint\": \"fp_b7c8e3f100\"\n}\n" @@ -1109,13 +672,13 @@ interactions: CF-Cache-Status: - DYNAMIC CF-Ray: - - 9db6da052e188095-EWR + - 9db91c9e39b690c2-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Fri, 13 Mar 2026 00:16:47 GMT + - Fri, 13 Mar 2026 06:51:48 GMT Server: - cloudflare Strict-Transport-Security: @@ -1131,7 +694,7 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '2809' + - '4236' openai-project: - OPENAI-PROJECT-XXX openai-version: From c5a8fef118b461e8053d14a78c2a53b87982c647 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Fri, 13 Mar 2026 15:28:11 -0400 Subject: [PATCH 04/15] fix: add cross-process and thread-safe locking to unprotected I/O (#4827) * fix: add cross-process and thread-safe locking to unprotected I/O * style: apply ruff formatting and import sorting * fix: avoid event loop deadlock in snowflake pool lock * perf: move embedding calls outside cross-process lock in RAG adapter * fix: close TOCTOU race in browser session manager * fix: add error handling to update_user_data * fix: use async lock acquisition in chromadb async methods * fix: avoid blocking event loop in async browser session wait * fix: replace dual-lock with single cross-process lock in LanceDB storage * fix: remove dead _save_user_data function and stale mock * fix: re-addd file descriptor limit to prevent crashes --- .../crewai_tools/adapters/lancedb_adapter.py | 20 +- .../browser/browser_session_manager.py | 108 ++++++---- lib/crewai-tools/src/crewai_tools/rag/core.py | 112 ++++++----- .../brave_search_tool/brave_search_tool.py | 3 +- .../file_writer_tool/file_writer_tool.py | 5 +- .../files_compressor_tool.py | 4 +- .../merge_agent_handler_tool.py | 10 +- .../qdrant_search_tool.py | 12 +- .../snowflake_search_tool.py | 33 +-- .../src/crewai/agents/crew_agent_executor.py | 4 +- lib/crewai/src/crewai/cli/cli.py | 49 +++-- lib/crewai/src/crewai/cli/memory_tui.py | 33 ++- .../src/crewai/cli/reset_memories_command.py | 4 +- lib/crewai/src/crewai/cli/utils.py | 8 +- lib/crewai/src/crewai/crew.py | 4 +- .../crewai/events/listeners/tracing/utils.py | 79 +++++--- .../crewai/events/utils/console_formatter.py | 15 +- .../src/crewai/experimental/agent_executor.py | 6 +- .../crewai/flow/async_feedback/providers.py | 2 + lib/crewai/src/crewai/flow/human_feedback.py | 30 ++- .../src/crewai/flow/persistence/sqlite.py | 114 ++++++----- lib/crewai/src/crewai/memory/analyze.py | 8 +- lib/crewai/src/crewai/memory/encoding_flow.py | 58 +++--- .../storage/kickoff_task_outputs_storage.py | 125 ++++++------ .../crewai/memory/storage/lancedb_storage.py | 168 +++++++--------- lib/crewai/src/crewai/rag/chromadb/client.py | 189 +++++++++++------- lib/crewai/src/crewai/rag/chromadb/factory.py | 1 + lib/crewai/src/crewai/task.py | 2 +- .../src/crewai/utilities/file_handler.py | 80 ++++---- lib/crewai/src/crewai/utilities/i18n.py | 7 +- .../crewai/utilities/pydantic_schema_utils.py | 25 ++- lib/crewai/tests/tracing/test_tracing.py | 12 +- 32 files changed, 734 insertions(+), 596 deletions(-) diff --git a/lib/crewai-tools/src/crewai_tools/adapters/lancedb_adapter.py b/lib/crewai-tools/src/crewai_tools/adapters/lancedb_adapter.py index 3fd8d8e2c..0e92ac85a 100644 --- a/lib/crewai-tools/src/crewai_tools/adapters/lancedb_adapter.py +++ b/lib/crewai-tools/src/crewai_tools/adapters/lancedb_adapter.py @@ -1,7 +1,9 @@ from collections.abc import Callable +import os from pathlib import Path from typing import Any +from crewai.utilities.lock_store import lock as store_lock from lancedb import ( # type: ignore[import-untyped] DBConnection as LanceDBConnection, connect as lancedb_connect, @@ -33,21 +35,24 @@ class LanceDBAdapter(Adapter): _db: LanceDBConnection = PrivateAttr() _table: LanceDBTable = PrivateAttr() + _lock_name: str = PrivateAttr(default="") def model_post_init(self, __context: Any) -> None: self._db = lancedb_connect(self.uri) self._table = self._db.open_table(self.table_name) + self._lock_name = f"lancedb:{os.path.realpath(str(self.uri))}" super().model_post_init(__context) def query(self, question: str) -> str: # type: ignore[override] query = self.embedding_function([question])[0] - results = ( - self._table.search(query, vector_column_name=self.vector_column_name) - .limit(self.top_k) - .select([self.text_column_name]) - .to_list() - ) + with store_lock(self._lock_name): + results = ( + self._table.search(query, vector_column_name=self.vector_column_name) + .limit(self.top_k) + .select([self.text_column_name]) + .to_list() + ) values = [result[self.text_column_name] for result in results] return "\n".join(values) @@ -56,4 +61,5 @@ class LanceDBAdapter(Adapter): *args: Any, **kwargs: Any, ) -> None: - self._table.add(*args, **kwargs) + with store_lock(self._lock_name): + self._table.add(*args, **kwargs) diff --git a/lib/crewai-tools/src/crewai_tools/aws/bedrock/browser/browser_session_manager.py b/lib/crewai-tools/src/crewai_tools/aws/bedrock/browser/browser_session_manager.py index af273a5d0..257074284 100644 --- a/lib/crewai-tools/src/crewai_tools/aws/bedrock/browser/browser_session_manager.py +++ b/lib/crewai-tools/src/crewai_tools/aws/bedrock/browser/browser_session_manager.py @@ -1,6 +1,9 @@ from __future__ import annotations +import asyncio +import contextvars import logging +import threading from typing import TYPE_CHECKING @@ -18,6 +21,9 @@ class BrowserSessionManager: This class maintains separate browser sessions for different threads, enabling concurrent usage of browsers in multi-threaded environments. Browsers are created lazily only when needed by tools. + + Uses per-key events to serialize creation for the same thread_id without + blocking unrelated callers or wasting resources on duplicate sessions. """ def __init__(self, region: str = "us-west-2"): @@ -27,8 +33,10 @@ class BrowserSessionManager: region: AWS region for browser client """ self.region = region + self._lock = threading.Lock() self._async_sessions: dict[str, tuple[BrowserClient, AsyncBrowser]] = {} self._sync_sessions: dict[str, tuple[BrowserClient, SyncBrowser]] = {} + self._creating: dict[str, threading.Event] = {} async def get_async_browser(self, thread_id: str) -> AsyncBrowser: """Get or create an async browser for the specified thread. @@ -39,10 +47,29 @@ class BrowserSessionManager: Returns: An async browser instance specific to the thread """ - if thread_id in self._async_sessions: - return self._async_sessions[thread_id][1] + loop = asyncio.get_event_loop() + while True: + with self._lock: + if thread_id in self._async_sessions: + return self._async_sessions[thread_id][1] + if thread_id not in self._creating: + self._creating[thread_id] = threading.Event() + break + event = self._creating[thread_id] + ctx = contextvars.copy_context() + await loop.run_in_executor(None, ctx.run, event.wait) - return await self._create_async_browser_session(thread_id) + try: + browser_client, browser = await self._create_async_browser_session( + thread_id + ) + with self._lock: + self._async_sessions[thread_id] = (browser_client, browser) + return browser + finally: + with self._lock: + evt = self._creating.pop(thread_id) + evt.set() def get_sync_browser(self, thread_id: str) -> SyncBrowser: """Get or create a sync browser for the specified thread. @@ -53,19 +80,33 @@ class BrowserSessionManager: Returns: A sync browser instance specific to the thread """ - if thread_id in self._sync_sessions: - return self._sync_sessions[thread_id][1] + while True: + with self._lock: + if thread_id in self._sync_sessions: + return self._sync_sessions[thread_id][1] + if thread_id not in self._creating: + self._creating[thread_id] = threading.Event() + break + event = self._creating[thread_id] + event.wait() - return self._create_sync_browser_session(thread_id) + try: + return self._create_sync_browser_session(thread_id) + finally: + with self._lock: + evt = self._creating.pop(thread_id) + evt.set() - async def _create_async_browser_session(self, thread_id: str) -> AsyncBrowser: + async def _create_async_browser_session( + self, thread_id: str + ) -> tuple[BrowserClient, AsyncBrowser]: """Create a new async browser session for the specified thread. Args: thread_id: Unique identifier for the thread Returns: - The newly created async browser instance + Tuple of (BrowserClient, AsyncBrowser). Raises: Exception: If browser session creation fails @@ -75,10 +116,8 @@ class BrowserSessionManager: browser_client = BrowserClient(region=self.region) try: - # Start browser session browser_client.start() - # Get WebSocket connection info ws_url, headers = browser_client.generate_ws_headers() logger.info( @@ -87,7 +126,6 @@ class BrowserSessionManager: from playwright.async_api import async_playwright - # Connect to browser using Playwright playwright = await async_playwright().start() browser = await playwright.chromium.connect_over_cdp( endpoint_url=ws_url, headers=headers, timeout=30000 @@ -96,17 +134,13 @@ class BrowserSessionManager: f"Successfully connected to async browser for thread {thread_id}" ) - # Store session resources - self._async_sessions[thread_id] = (browser_client, browser) - - return browser + return browser_client, browser except Exception as e: logger.error( f"Failed to create async browser session for thread {thread_id}: {e}" ) - # Clean up resources if session creation fails if browser_client: try: browser_client.stop() @@ -132,10 +166,8 @@ class BrowserSessionManager: browser_client = BrowserClient(region=self.region) try: - # Start browser session browser_client.start() - # Get WebSocket connection info ws_url, headers = browser_client.generate_ws_headers() logger.info( @@ -144,7 +176,6 @@ class BrowserSessionManager: from playwright.sync_api import sync_playwright - # Connect to browser using Playwright playwright = sync_playwright().start() browser = playwright.chromium.connect_over_cdp( endpoint_url=ws_url, headers=headers, timeout=30000 @@ -153,8 +184,8 @@ class BrowserSessionManager: f"Successfully connected to sync browser for thread {thread_id}" ) - # Store session resources - self._sync_sessions[thread_id] = (browser_client, browser) + with self._lock: + self._sync_sessions[thread_id] = (browser_client, browser) return browser @@ -163,7 +194,6 @@ class BrowserSessionManager: f"Failed to create sync browser session for thread {thread_id}: {e}" ) - # Clean up resources if session creation fails if browser_client: try: browser_client.stop() @@ -178,13 +208,13 @@ class BrowserSessionManager: Args: thread_id: Unique identifier for the thread """ - if thread_id not in self._async_sessions: - logger.warning(f"No async browser session found for thread {thread_id}") - return + with self._lock: + if thread_id not in self._async_sessions: + logger.warning(f"No async browser session found for thread {thread_id}") + return - browser_client, browser = self._async_sessions[thread_id] + browser_client, browser = self._async_sessions.pop(thread_id) - # Close browser if browser: try: await browser.close() @@ -193,7 +223,6 @@ class BrowserSessionManager: f"Error closing async browser for thread {thread_id}: {e}" ) - # Stop browser client if browser_client: try: browser_client.stop() @@ -202,8 +231,6 @@ class BrowserSessionManager: f"Error stopping browser client for thread {thread_id}: {e}" ) - # Remove session from dictionary - del self._async_sessions[thread_id] logger.info(f"Async browser session cleaned up for thread {thread_id}") def close_sync_browser(self, thread_id: str) -> None: @@ -212,13 +239,13 @@ class BrowserSessionManager: Args: thread_id: Unique identifier for the thread """ - if thread_id not in self._sync_sessions: - logger.warning(f"No sync browser session found for thread {thread_id}") - return + with self._lock: + if thread_id not in self._sync_sessions: + logger.warning(f"No sync browser session found for thread {thread_id}") + return - browser_client, browser = self._sync_sessions[thread_id] + browser_client, browser = self._sync_sessions.pop(thread_id) - # Close browser if browser: try: browser.close() @@ -227,7 +254,6 @@ class BrowserSessionManager: f"Error closing sync browser for thread {thread_id}: {e}" ) - # Stop browser client if browser_client: try: browser_client.stop() @@ -236,19 +262,17 @@ class BrowserSessionManager: f"Error stopping browser client for thread {thread_id}: {e}" ) - # Remove session from dictionary - del self._sync_sessions[thread_id] logger.info(f"Sync browser session cleaned up for thread {thread_id}") async def close_all_browsers(self) -> None: """Close all browser sessions.""" - # Close all async browsers - async_thread_ids = list(self._async_sessions.keys()) + with self._lock: + async_thread_ids = list(self._async_sessions.keys()) + sync_thread_ids = list(self._sync_sessions.keys()) + for thread_id in async_thread_ids: await self.close_async_browser(thread_id) - # Close all sync browsers - sync_thread_ids = list(self._sync_sessions.keys()) for thread_id in sync_thread_ids: self.close_sync_browser(thread_id) diff --git a/lib/crewai-tools/src/crewai_tools/rag/core.py b/lib/crewai-tools/src/crewai_tools/rag/core.py index 31e3a283c..d8bc51e15 100644 --- a/lib/crewai-tools/src/crewai_tools/rag/core.py +++ b/lib/crewai-tools/src/crewai_tools/rag/core.py @@ -1,9 +1,11 @@ import logging +import os from pathlib import Path from typing import Any from uuid import uuid4 import chromadb +from crewai.utilities.lock_store import lock as store_lock from pydantic import BaseModel, Field, PrivateAttr from crewai_tools.rag.base_loader import BaseLoader @@ -38,22 +40,32 @@ class RAG(Adapter): _client: Any = PrivateAttr() _collection: Any = PrivateAttr() _embedding_service: EmbeddingService = PrivateAttr() + _lock_name: str = PrivateAttr(default="") def model_post_init(self, __context: Any) -> None: try: - if self.persist_directory: - self._client = chromadb.PersistentClient(path=self.persist_directory) - else: - self._client = chromadb.Client() - - self._collection = self._client.get_or_create_collection( - name=self.collection_name, - metadata={ - "hnsw:space": "cosine", - "description": "CrewAI Knowledge Base", - }, + self._lock_name = ( + f"chromadb:{os.path.realpath(self.persist_directory)}" + if self.persist_directory + else "chromadb:ephemeral" ) + with store_lock(self._lock_name): + if self.persist_directory: + self._client = chromadb.PersistentClient( + path=self.persist_directory + ) + else: + self._client = chromadb.Client() + + self._collection = self._client.get_or_create_collection( + name=self.collection_name, + metadata={ + "hnsw:space": "cosine", + "description": "CrewAI Knowledge Base", + }, + ) + self._embedding_service = EmbeddingService( provider=self.embedding_provider, model=self.embedding_model, @@ -87,29 +99,8 @@ class RAG(Adapter): loader_result = loader.load(source_content) doc_id = loader_result.doc_id - existing_doc = self._collection.get( - where={"source": source_content.source_ref}, limit=1 - ) - existing_doc_id = ( - existing_doc and existing_doc["metadatas"][0]["doc_id"] - if existing_doc["metadatas"] - else None - ) - - if existing_doc_id == doc_id: - logger.warning( - f"Document with source {loader_result.source} already exists" - ) - return - - # Document with same source ref does exists but the content has changed, deleting the oldest reference - if existing_doc_id and existing_doc_id != loader_result.doc_id: - logger.warning(f"Deleting old document with doc_id {existing_doc_id}") - self._collection.delete(where={"doc_id": existing_doc_id}) - - documents = [] - chunks = chunker.chunk(loader_result.content) + documents = [] for i, chunk in enumerate(chunks): doc_metadata = (metadata or {}).copy() doc_metadata["chunk_index"] = i @@ -136,7 +127,6 @@ class RAG(Adapter): ids = [doc.id for doc in documents] metadatas = [] - for doc in documents: doc_metadata = doc.metadata.copy() doc_metadata.update( @@ -148,27 +138,48 @@ class RAG(Adapter): ) metadatas.append(doc_metadata) - try: - self._collection.add( - ids=ids, - embeddings=embeddings, - documents=contents, - metadatas=metadatas, + with store_lock(self._lock_name): + existing_doc = self._collection.get( + where={"source": source_content.source_ref}, limit=1 ) - logger.info(f"Added {len(documents)} documents to knowledge base") - except Exception as e: - logger.error(f"Failed to add documents to ChromaDB: {e}") + existing_doc_id = ( + existing_doc and existing_doc["metadatas"][0]["doc_id"] + if existing_doc["metadatas"] + else None + ) + + if existing_doc_id == doc_id: + logger.warning( + f"Document with source {loader_result.source} already exists" + ) + return + + if existing_doc_id and existing_doc_id != loader_result.doc_id: + logger.warning(f"Deleting old document with doc_id {existing_doc_id}") + self._collection.delete(where={"doc_id": existing_doc_id}) + + try: + self._collection.add( + ids=ids, + embeddings=embeddings, + documents=contents, + metadatas=metadatas, + ) + logger.info(f"Added {len(documents)} documents to knowledge base") + except Exception as e: + logger.error(f"Failed to add documents to ChromaDB: {e}") def query(self, question: str, where: dict[str, Any] | None = None) -> str: # type: ignore try: question_embedding = self._embedding_service.embed_text(question) - results = self._collection.query( - query_embeddings=[question_embedding], - n_results=self.top_k, - where=where, - include=["documents", "metadatas", "distances"], - ) + with store_lock(self._lock_name): + results = self._collection.query( + query_embeddings=[question_embedding], + n_results=self.top_k, + where=where, + include=["documents", "metadatas", "distances"], + ) if ( not results @@ -201,7 +212,8 @@ class RAG(Adapter): def delete_collection(self) -> None: try: - self._client.delete_collection(self.collection_name) + with store_lock(self._lock_name): + self._client.delete_collection(self.collection_name) logger.info(f"Deleted collection: {self.collection_name}") except Exception as e: logger.error(f"Failed to delete collection: {e}") diff --git a/lib/crewai-tools/src/crewai_tools/tools/brave_search_tool/brave_search_tool.py b/lib/crewai-tools/src/crewai_tools/tools/brave_search_tool/brave_search_tool.py index 2fb385770..dbca5b819 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/brave_search_tool/brave_search_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/brave_search_tool/brave_search_tool.py @@ -1,4 +1,3 @@ -from datetime import datetime import json import os import time @@ -10,8 +9,8 @@ from pydantic import BaseModel, Field from pydantic.types import StringConstraints import requests -from crewai_tools.tools.brave_search_tool.schemas import WebSearchParams from crewai_tools.tools.brave_search_tool.base import _save_results_to_file +from crewai_tools.tools.brave_search_tool.schemas import WebSearchParams load_dotenv() diff --git a/lib/crewai-tools/src/crewai_tools/tools/file_writer_tool/file_writer_tool.py b/lib/crewai-tools/src/crewai_tools/tools/file_writer_tool/file_writer_tool.py index 33b43985d..e961b57db 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/file_writer_tool/file_writer_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/file_writer_tool/file_writer_tool.py @@ -30,9 +30,8 @@ class FileWriterTool(BaseTool): def _run(self, **kwargs: Any) -> str: try: - # Create the directory if it doesn't exist - if kwargs.get("directory") and not os.path.exists(kwargs["directory"]): - os.makedirs(kwargs["directory"]) + if kwargs.get("directory"): + os.makedirs(kwargs["directory"], exist_ok=True) # Construct the full path filepath = os.path.join(kwargs.get("directory") or "", kwargs["filename"]) diff --git a/lib/crewai-tools/src/crewai_tools/tools/files_compressor_tool/files_compressor_tool.py b/lib/crewai-tools/src/crewai_tools/tools/files_compressor_tool/files_compressor_tool.py index cdea23b2f..5d88dbd0a 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/files_compressor_tool/files_compressor_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/files_compressor_tool/files_compressor_tool.py @@ -99,8 +99,8 @@ class FileCompressorTool(BaseTool): def _prepare_output(output_path: str, overwrite: bool) -> bool: """Ensures output path is ready for writing.""" output_dir = os.path.dirname(output_path) - if output_dir and not os.path.exists(output_dir): - os.makedirs(output_dir) + if output_dir: + os.makedirs(output_dir, exist_ok=True) if os.path.exists(output_path) and not overwrite: return False return True diff --git a/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/merge_agent_handler_tool.py b/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/merge_agent_handler_tool.py index 70077d0ee..88e2d99c2 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/merge_agent_handler_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/merge_agent_handler_tool.py @@ -18,7 +18,6 @@ class MergeAgentHandlerToolError(Exception): """Base exception for Merge Agent Handler tool errors.""" - class MergeAgentHandlerTool(BaseTool): """ Wrapper for Merge Agent Handler tools. @@ -174,7 +173,7 @@ class MergeAgentHandlerTool(BaseTool): >>> tool = MergeAgentHandlerTool.from_tool_name( ... tool_name="linear__create_issue", ... tool_pack_id="134e0111-0f67-44f6-98f0-597000290bb3", - ... registered_user_id="91b2b905-e866-40c8-8be2-efe53827a0aa" + ... registered_user_id="91b2b905-e866-40c8-8be2-efe53827a0aa", ... ) """ # Create an empty args schema model (proper BaseModel subclass) @@ -210,7 +209,10 @@ class MergeAgentHandlerTool(BaseTool): if "parameters" in tool_schema: try: params = tool_schema["parameters"] - if params.get("type") == "object" and "properties" in params: + if ( + params.get("type") == "object" + and "properties" in params + ): # Build field definitions for Pydantic fields = {} properties = params["properties"] @@ -298,7 +300,7 @@ class MergeAgentHandlerTool(BaseTool): >>> tools = MergeAgentHandlerTool.from_tool_pack( ... tool_pack_id="134e0111-0f67-44f6-98f0-597000290bb3", ... registered_user_id="91b2b905-e866-40c8-8be2-efe53827a0aa", - ... tool_names=["linear__create_issue", "linear__get_issues"] + ... tool_names=["linear__create_issue", "linear__get_issues"], ... ) """ # Create a temporary instance to fetch the tool list diff --git a/lib/crewai-tools/src/crewai_tools/tools/qdrant_vector_search_tool/qdrant_search_tool.py b/lib/crewai-tools/src/crewai_tools/tools/qdrant_vector_search_tool/qdrant_search_tool.py index 063af07e3..490b8396e 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/qdrant_vector_search_tool/qdrant_search_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/qdrant_vector_search_tool/qdrant_search_tool.py @@ -110,11 +110,13 @@ class QdrantVectorSearchTool(BaseTool): self.custom_embedding_fn(query) if self.custom_embedding_fn else ( - lambda: __import__("openai") - .Client(api_key=os.getenv("OPENAI_API_KEY")) - .embeddings.create(input=[query], model="text-embedding-3-large") - .data[0] - .embedding + lambda: ( + __import__("openai") + .Client(api_key=os.getenv("OPENAI_API_KEY")) + .embeddings.create(input=[query], model="text-embedding-3-large") + .data[0] + .embedding + ) )() ) results = self.client.query_points( diff --git a/lib/crewai-tools/src/crewai_tools/tools/snowflake_search_tool/snowflake_search_tool.py b/lib/crewai-tools/src/crewai_tools/tools/snowflake_search_tool/snowflake_search_tool.py index 485e15ba3..c54209276 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/snowflake_search_tool/snowflake_search_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/snowflake_search_tool/snowflake_search_tool.py @@ -3,6 +3,7 @@ from __future__ import annotations import asyncio from concurrent.futures import ThreadPoolExecutor import logging +import threading from typing import TYPE_CHECKING, Any from crewai.tools.base_tool import BaseTool @@ -33,6 +34,7 @@ logger = logging.getLogger(__name__) # Cache for query results _query_cache: dict[str, list[dict[str, Any]]] = {} +_cache_lock = threading.Lock() class SnowflakeConfig(BaseModel): @@ -102,7 +104,7 @@ class SnowflakeSearchTool(BaseTool): ) _connection_pool: list[SnowflakeConnection] | None = None - _pool_lock: asyncio.Lock | None = None + _pool_lock: threading.Lock | None = None _thread_pool: ThreadPoolExecutor | None = None _model_rebuilt: bool = False package_dependencies: list[str] = Field( @@ -122,7 +124,7 @@ class SnowflakeSearchTool(BaseTool): try: if SNOWFLAKE_AVAILABLE: self._connection_pool = [] - self._pool_lock = asyncio.Lock() + self._pool_lock = threading.Lock() self._thread_pool = ThreadPoolExecutor(max_workers=self.pool_size) else: raise ImportError @@ -147,7 +149,7 @@ class SnowflakeSearchTool(BaseTool): ) self._connection_pool = [] - self._pool_lock = asyncio.Lock() + self._pool_lock = threading.Lock() self._thread_pool = ThreadPoolExecutor(max_workers=self.pool_size) except subprocess.CalledProcessError as e: raise ImportError("Failed to install Snowflake dependencies") from e @@ -163,13 +165,12 @@ class SnowflakeSearchTool(BaseTool): raise RuntimeError("Pool lock not initialized") if self._connection_pool is None: raise RuntimeError("Connection pool not initialized") - async with self._pool_lock: - if not self._connection_pool: - conn = await asyncio.get_event_loop().run_in_executor( - self._thread_pool, self._create_connection - ) - self._connection_pool.append(conn) - return self._connection_pool.pop() + with self._pool_lock: + if self._connection_pool: + return self._connection_pool.pop() + return await asyncio.get_event_loop().run_in_executor( + self._thread_pool, self._create_connection + ) def _create_connection(self) -> SnowflakeConnection: """Create a new Snowflake connection.""" @@ -204,9 +205,10 @@ class SnowflakeSearchTool(BaseTool): """Execute a query with retries and return results.""" if self.enable_caching: cache_key = self._get_cache_key(query, timeout) - if cache_key in _query_cache: - logger.info("Returning cached result") - return _query_cache[cache_key] + with _cache_lock: + if cache_key in _query_cache: + logger.info("Returning cached result") + return _query_cache[cache_key] for attempt in range(self.max_retries): try: @@ -225,7 +227,8 @@ class SnowflakeSearchTool(BaseTool): ] if self.enable_caching: - _query_cache[self._get_cache_key(query, timeout)] = results + with _cache_lock: + _query_cache[self._get_cache_key(query, timeout)] = results return results finally: @@ -234,7 +237,7 @@ class SnowflakeSearchTool(BaseTool): self._pool_lock is not None and self._connection_pool is not None ): - async with self._pool_lock: + with self._pool_lock: self._connection_pool.append(conn) except (DatabaseError, OperationalError) as e: # noqa: PERF203 if attempt == self.max_retries - 1: diff --git a/lib/crewai/src/crewai/agents/crew_agent_executor.py b/lib/crewai/src/crewai/agents/crew_agent_executor.py index ffa733d6b..3b37ab24c 100644 --- a/lib/crewai/src/crewai/agents/crew_agent_executor.py +++ b/lib/crewai/src/crewai/agents/crew_agent_executor.py @@ -895,7 +895,9 @@ class CrewAgentExecutor(CrewAgentExecutorMixin): ToolUsageStartedEvent, ) - args_dict, parse_error = parse_tool_call_args(func_args, func_name, call_id, original_tool) + args_dict, parse_error = parse_tool_call_args( + func_args, func_name, call_id, original_tool + ) if parse_error is not None: return parse_error diff --git a/lib/crewai/src/crewai/cli/cli.py b/lib/crewai/src/crewai/cli/cli.py index 32c8a00bb..79559129b 100644 --- a/lib/crewai/src/crewai/cli/cli.py +++ b/lib/crewai/src/crewai/cli/cli.py @@ -182,15 +182,24 @@ def log_tasks_outputs() -> None: @crewai.command() @click.option("-m", "--memory", is_flag=True, help="Reset MEMORY") @click.option( - "-l", "--long", is_flag=True, hidden=True, + "-l", + "--long", + is_flag=True, + hidden=True, help="[Deprecated: use --memory] Reset memory", ) @click.option( - "-s", "--short", is_flag=True, hidden=True, + "-s", + "--short", + is_flag=True, + hidden=True, help="[Deprecated: use --memory] Reset memory", ) @click.option( - "-e", "--entities", is_flag=True, hidden=True, + "-e", + "--entities", + is_flag=True, + hidden=True, help="[Deprecated: use --memory] Reset memory", ) @click.option("-kn", "--knowledge", is_flag=True, help="Reset KNOWLEDGE storage") @@ -218,7 +227,13 @@ def reset_memories( # Treat legacy flags as --memory with a deprecation warning if long or short or entities: legacy_used = [ - f for f, v in [("--long", long), ("--short", short), ("--entities", entities)] if v + f + for f, v in [ + ("--long", long), + ("--short", short), + ("--entities", entities), + ] + if v ] click.echo( f"Warning: {', '.join(legacy_used)} {'is' if len(legacy_used) == 1 else 'are'} " @@ -238,9 +253,7 @@ def reset_memories( "Please specify at least one memory type to reset using the appropriate flags." ) return - reset_memories_command( - memory, knowledge, agent_knowledge, kickoff_outputs, all - ) + reset_memories_command(memory, knowledge, agent_knowledge, kickoff_outputs, all) except Exception as e: click.echo(f"An error occurred while resetting memories: {e}", err=True) @@ -669,18 +682,11 @@ def traces_enable(): from rich.console import Console from rich.panel import Panel - from crewai.events.listeners.tracing.utils import ( - _load_user_data, - _save_user_data, - ) + from crewai.events.listeners.tracing.utils import update_user_data console = Console() - # Update user data to enable traces - user_data = _load_user_data() - user_data["trace_consent"] = True - user_data["first_execution_done"] = True - _save_user_data(user_data) + update_user_data({"trace_consent": True, "first_execution_done": True}) panel = Panel( "✅ Trace collection has been enabled!\n\n" @@ -699,18 +705,11 @@ def traces_disable(): from rich.console import Console from rich.panel import Panel - from crewai.events.listeners.tracing.utils import ( - _load_user_data, - _save_user_data, - ) + from crewai.events.listeners.tracing.utils import update_user_data console = Console() - # Update user data to disable traces - user_data = _load_user_data() - user_data["trace_consent"] = False - user_data["first_execution_done"] = True - _save_user_data(user_data) + update_user_data({"trace_consent": False, "first_execution_done": True}) panel = Panel( "❌ Trace collection has been disabled!\n\n" diff --git a/lib/crewai/src/crewai/cli/memory_tui.py b/lib/crewai/src/crewai/cli/memory_tui.py index 9dd91a42c..486808f39 100644 --- a/lib/crewai/src/crewai/cli/memory_tui.py +++ b/lib/crewai/src/crewai/cli/memory_tui.py @@ -125,13 +125,19 @@ class MemoryTUI(App[None]): from crewai.memory.storage.lancedb_storage import LanceDBStorage from crewai.memory.unified_memory import Memory - storage = LanceDBStorage(path=storage_path) if storage_path else LanceDBStorage() + storage = ( + LanceDBStorage(path=storage_path) if storage_path else LanceDBStorage() + ) embedder = None if embedder_config is not None: from crewai.rag.embeddings.factory import build_embedder embedder = build_embedder(embedder_config) - self._memory = Memory(storage=storage, embedder=embedder) if embedder else Memory(storage=storage) + self._memory = ( + Memory(storage=storage, embedder=embedder) + if embedder + else Memory(storage=storage) + ) except Exception as e: self._init_error = str(e) @@ -200,11 +206,7 @@ class MemoryTUI(App[None]): if len(record.content) > 80 else record.content ) - label = ( - f"{date_str} " - f"[bold]{record.importance:.1f}[/] " - f"{preview}" - ) + label = f"{date_str} [bold]{record.importance:.1f}[/] {preview}" option_list.add_option(label) def _populate_recall_list(self) -> None: @@ -220,9 +222,7 @@ class MemoryTUI(App[None]): else m.record.content ) label = ( - f"[bold]\\[{m.score:.2f}][/] " - f"{preview} " - f"[dim]scope={m.record.scope}[/]" + f"[bold]\\[{m.score:.2f}][/] {preview} [dim]scope={m.record.scope}[/]" ) option_list.add_option(label) @@ -251,8 +251,7 @@ class MemoryTUI(App[None]): lines.append(f"[dim]Scope:[/] [bold]{record.scope}[/]") lines.append(f"[dim]Importance:[/] [bold]{record.importance:.2f}[/]") lines.append( - f"[dim]Created:[/] " - f"{record.created_at.strftime('%Y-%m-%d %H:%M:%S')}" + f"[dim]Created:[/] {record.created_at.strftime('%Y-%m-%d %H:%M:%S')}" ) lines.append( f"[dim]Last accessed:[/] " @@ -362,17 +361,11 @@ class MemoryTUI(App[None]): panel = self.query_one("#info-panel", Static) panel.loading = True try: - scope = ( - self._selected_scope - if self._selected_scope != "/" - else None - ) + scope = self._selected_scope if self._selected_scope != "/" else None loop = asyncio.get_event_loop() matches = await loop.run_in_executor( None, - lambda: self._memory.recall( - query, scope=scope, limit=10, depth="deep" - ), + lambda: self._memory.recall(query, scope=scope, limit=10, depth="deep"), ) self._recall_matches = matches or [] self._view_mode = "recall" diff --git a/lib/crewai/src/crewai/cli/reset_memories_command.py b/lib/crewai/src/crewai/cli/reset_memories_command.py index 85971f94f..4128d0651 100644 --- a/lib/crewai/src/crewai/cli/reset_memories_command.py +++ b/lib/crewai/src/crewai/cli/reset_memories_command.py @@ -95,9 +95,7 @@ def reset_memories_command( continue if memory: _reset_flow_memory(flow) - click.echo( - f"[Flow ({flow_name})] Memory has been reset." - ) + click.echo(f"[Flow ({flow_name})] Memory has been reset.") except subprocess.CalledProcessError as e: click.echo(f"An error occurred while resetting the memories: {e}", err=True) diff --git a/lib/crewai/src/crewai/cli/utils.py b/lib/crewai/src/crewai/cli/utils.py index 6ee181ea1..714130632 100644 --- a/lib/crewai/src/crewai/cli/utils.py +++ b/lib/crewai/src/crewai/cli/utils.py @@ -442,9 +442,7 @@ def get_flows(flow_path: str = "main.py") -> list[Flow]: for search_path in search_paths: for root, dirs, files in os.walk(search_path): dirs[:] = [ - d - for d in dirs - if d not in _SKIP_DIRS and not d.startswith(".") + d for d in dirs if d not in _SKIP_DIRS and not d.startswith(".") ] if flow_path in files and "cli/templates" not in root: file_os_path = os.path.join(root, flow_path) @@ -464,9 +462,7 @@ def get_flows(flow_path: str = "main.py") -> list[Flow]: for attr_name in dir(module): module_attr = getattr(module, attr_name) try: - if flow_instance := get_flow_instance( - module_attr - ): + if flow_instance := get_flow_instance(module_attr): flow_instances.append(flow_instance) except Exception: # noqa: S112 continue diff --git a/lib/crewai/src/crewai/crew.py b/lib/crewai/src/crewai/crew.py index 980830af5..cdd371cbc 100644 --- a/lib/crewai/src/crewai/crew.py +++ b/lib/crewai/src/crewai/crew.py @@ -1410,9 +1410,7 @@ class Crew(FlowTrackable, BaseModel): return self._merge_tools(tools, cast(list[BaseTool], code_tools)) return tools - def _add_memory_tools( - self, tools: list[BaseTool], memory: Any - ) -> list[BaseTool]: + def _add_memory_tools(self, tools: list[BaseTool], memory: Any) -> list[BaseTool]: """Add recall and remember tools when memory is available. Args: diff --git a/lib/crewai/src/crewai/events/listeners/tracing/utils.py b/lib/crewai/src/crewai/events/listeners/tracing/utils.py index 68ee6c9ff..7a6eff3f0 100644 --- a/lib/crewai/src/crewai/events/listeners/tracing/utils.py +++ b/lib/crewai/src/crewai/events/listeners/tracing/utils.py @@ -19,6 +19,7 @@ from rich.console import Console from rich.panel import Panel from rich.text import Text +from crewai.utilities.lock_store import lock as store_lock from crewai.utilities.paths import db_storage_path from crewai.utilities.serialization import to_serializable @@ -138,12 +139,25 @@ def _load_user_data() -> dict[str, Any]: return {} -def _save_user_data(data: dict[str, Any]) -> None: +def _user_data_lock_name() -> str: + """Return a stable lock name for the user data file.""" + return f"file:{os.path.realpath(_user_data_file())}" + + +def update_user_data(updates: dict[str, Any]) -> None: + """Atomically read-modify-write the user data file. + + Args: + updates: Key-value pairs to merge into the existing user data. + """ try: - p = _user_data_file() - p.write_text(json.dumps(data, indent=2)) + with store_lock(_user_data_lock_name()): + data = _load_user_data() + data.update(updates) + p = _user_data_file() + p.write_text(json.dumps(data, indent=2)) except (OSError, PermissionError) as e: - logger.warning(f"Failed to save user data: {e}") + logger.warning(f"Failed to update user data: {e}") def has_user_declined_tracing() -> bool: @@ -358,24 +372,30 @@ def _get_generic_system_id() -> str | None: return None -def get_user_id() -> str: - """Stable, anonymized user identifier with caching.""" - data = _load_user_data() - - if "user_id" in data: - return cast(str, data["user_id"]) - +def _generate_user_id() -> str: + """Compute an anonymized user identifier from username and machine ID.""" try: username = getpass.getuser() except Exception: username = "unknown" seed = f"{username}|{_get_machine_id()}" - uid = hashlib.sha256(seed.encode()).hexdigest() + return hashlib.sha256(seed.encode()).hexdigest() - data["user_id"] = uid - _save_user_data(data) - return uid + +def get_user_id() -> str: + """Stable, anonymized user identifier with caching.""" + with store_lock(_user_data_lock_name()): + data = _load_user_data() + + if "user_id" in data: + return cast(str, data["user_id"]) + + uid = _generate_user_id() + data["user_id"] = uid + p = _user_data_file() + p.write_text(json.dumps(data, indent=2)) + return uid def is_first_execution() -> bool: @@ -390,20 +410,23 @@ def mark_first_execution_done(user_consented: bool = False) -> None: Args: user_consented: Whether the user consented to trace collection. """ - data = _load_user_data() - if data.get("first_execution_done", False): - return + with store_lock(_user_data_lock_name()): + data = _load_user_data() + if data.get("first_execution_done", False): + return - data.update( - { - "first_execution_done": True, - "first_execution_at": datetime.now().timestamp(), - "user_id": get_user_id(), - "machine_id": _get_machine_id(), - "trace_consent": user_consented, - } - ) - _save_user_data(data) + uid = data.get("user_id") or _generate_user_id() + data.update( + { + "first_execution_done": True, + "first_execution_at": datetime.now().timestamp(), + "user_id": uid, + "machine_id": _get_machine_id(), + "trace_consent": user_consented, + } + ) + p = _user_data_file() + p.write_text(json.dumps(data, indent=2)) def safe_serialize_to_dict(obj: Any, exclude: set[str] | None = None) -> dict[str, Any]: diff --git a/lib/crewai/src/crewai/events/utils/console_formatter.py b/lib/crewai/src/crewai/events/utils/console_formatter.py index 77cc76f4b..a3019ffcf 100644 --- a/lib/crewai/src/crewai/events/utils/console_formatter.py +++ b/lib/crewai/src/crewai/events/utils/console_formatter.py @@ -43,6 +43,7 @@ def should_suppress_console_output() -> bool: class ConsoleFormatter: tool_usage_counts: ClassVar[dict[str, int]] = {} + _tool_counts_lock: ClassVar[threading.Lock] = threading.Lock() current_a2a_turn_count: int = 0 _pending_a2a_message: str | None = None @@ -445,9 +446,11 @@ To enable tracing, do any one of these: if not self.verbose: return - # Update tool usage count - self.tool_usage_counts[tool_name] = self.tool_usage_counts.get(tool_name, 0) + 1 - iteration = self.tool_usage_counts[tool_name] + with self._tool_counts_lock: + self.tool_usage_counts[tool_name] = ( + self.tool_usage_counts.get(tool_name, 0) + 1 + ) + iteration = self.tool_usage_counts[tool_name] content = Text() content.append("Tool: ", style="white") @@ -474,7 +477,8 @@ To enable tracing, do any one of these: if not self.verbose: return - iteration = self.tool_usage_counts.get(tool_name, 1) + with self._tool_counts_lock: + iteration = self.tool_usage_counts.get(tool_name, 1) content = Text() content.append("Tool Completed\n", style="green bold") @@ -500,7 +504,8 @@ To enable tracing, do any one of these: if not self.verbose: return - iteration = self.tool_usage_counts.get(tool_name, 1) + with self._tool_counts_lock: + iteration = self.tool_usage_counts.get(tool_name, 1) content = Text() content.append("Tool Failed\n", style="red bold") diff --git a/lib/crewai/src/crewai/experimental/agent_executor.py b/lib/crewai/src/crewai/experimental/agent_executor.py index 034f7ba32..d451e1205 100644 --- a/lib/crewai/src/crewai/experimental/agent_executor.py +++ b/lib/crewai/src/crewai/experimental/agent_executor.py @@ -729,7 +729,11 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): max_workers = min(8, len(runnable_tool_calls)) with ThreadPoolExecutor(max_workers=max_workers) as pool: future_to_idx = { - pool.submit(contextvars.copy_context().run, self._execute_single_native_tool_call, tool_call): idx + pool.submit( + contextvars.copy_context().run, + self._execute_single_native_tool_call, + tool_call, + ): idx for idx, tool_call in enumerate(runnable_tool_calls) } ordered_results: list[dict[str, Any] | None] = [None] * len( diff --git a/lib/crewai/src/crewai/flow/async_feedback/providers.py b/lib/crewai/src/crewai/flow/async_feedback/providers.py index 65055d650..43443046f 100644 --- a/lib/crewai/src/crewai/flow/async_feedback/providers.py +++ b/lib/crewai/src/crewai/flow/async_feedback/providers.py @@ -34,6 +34,7 @@ class ConsoleProvider: ```python from crewai.flow.async_feedback import ConsoleProvider + @human_feedback( message="Review this:", provider=ConsoleProvider(), @@ -46,6 +47,7 @@ class ConsoleProvider: ```python from crewai.flow import Flow, start + class MyFlow(Flow): @start() def gather_info(self): diff --git a/lib/crewai/src/crewai/flow/human_feedback.py b/lib/crewai/src/crewai/flow/human_feedback.py index 096687d7a..fa4e20ced 100644 --- a/lib/crewai/src/crewai/flow/human_feedback.py +++ b/lib/crewai/src/crewai/flow/human_feedback.py @@ -188,7 +188,7 @@ def human_feedback( metadata: dict[str, Any] | None = None, provider: HumanFeedbackProvider | None = None, learn: bool = False, - learn_source: str = "hitl" + learn_source: str = "hitl", ) -> Callable[[F], F]: """Decorator for Flow methods that require human feedback. @@ -328,9 +328,7 @@ def human_feedback( """Recall past HITL lessons and use LLM to pre-review the output.""" try: query = f"human feedback lessons for {func.__name__}: {method_output!s}" - matches = flow_instance.memory.recall( - query, source=learn_source - ) + matches = flow_instance.memory.recall(query, source=learn_source) if not matches: return method_output @@ -341,7 +339,10 @@ def human_feedback( lessons=lessons, ) messages = [ - {"role": "system", "content": _get_hitl_prompt("hitl_pre_review_system")}, + { + "role": "system", + "content": _get_hitl_prompt("hitl_pre_review_system"), + }, {"role": "user", "content": prompt}, ] if getattr(llm_inst, "supports_function_calling", lambda: False)(): @@ -366,7 +367,10 @@ def human_feedback( feedback=raw_feedback, ) messages = [ - {"role": "system", "content": _get_hitl_prompt("hitl_distill_system")}, + { + "role": "system", + "content": _get_hitl_prompt("hitl_distill_system"), + }, {"role": "user", "content": prompt}, ] @@ -487,7 +491,11 @@ def human_feedback( result = _process_feedback(self, method_output, raw_feedback) # Distill: extract lessons from output + feedback, store in memory - if learn and getattr(self, "memory", None) is not None and raw_feedback.strip(): + if ( + learn + and getattr(self, "memory", None) is not None + and raw_feedback.strip() + ): _distill_and_store_lessons(self, method_output, raw_feedback) return result @@ -507,7 +515,11 @@ def human_feedback( result = _process_feedback(self, method_output, raw_feedback) # Distill: extract lessons from output + feedback, store in memory - if learn and getattr(self, "memory", None) is not None and raw_feedback.strip(): + if ( + learn + and getattr(self, "memory", None) is not None + and raw_feedback.strip() + ): _distill_and_store_lessons(self, method_output, raw_feedback) return result @@ -534,7 +546,7 @@ def human_feedback( metadata=metadata, provider=provider, learn=learn, - learn_source=learn_source + learn_source=learn_source, ) wrapper.__is_flow_method__ = True diff --git a/lib/crewai/src/crewai/flow/persistence/sqlite.py b/lib/crewai/src/crewai/flow/persistence/sqlite.py index e774eb60a..edf379660 100644 --- a/lib/crewai/src/crewai/flow/persistence/sqlite.py +++ b/lib/crewai/src/crewai/flow/persistence/sqlite.py @@ -1,11 +1,10 @@ -""" -SQLite-based implementation of flow state persistence. -""" +"""SQLite-based implementation of flow state persistence.""" from __future__ import annotations from datetime import datetime, timezone import json +import os from pathlib import Path import sqlite3 from typing import TYPE_CHECKING, Any @@ -13,6 +12,7 @@ from typing import TYPE_CHECKING, Any from pydantic import BaseModel from crewai.flow.persistence.base import FlowPersistence +from crewai.utilities.lock_store import lock as store_lock from crewai.utilities.paths import db_storage_path @@ -68,11 +68,15 @@ class SQLiteFlowPersistence(FlowPersistence): raise ValueError("Database path must be provided") self.db_path = path # Now mypy knows this is str + self._lock_name = f"sqlite:{os.path.realpath(self.db_path)}" self.init_db() def init_db(self) -> None: """Create the necessary tables if they don't exist.""" - with sqlite3.connect(self.db_path, timeout=30) as conn: + with ( + store_lock(self._lock_name), + sqlite3.connect(self.db_path, timeout=30) as conn, + ): conn.execute("PRAGMA journal_mode=WAL") # Main state table conn.execute( @@ -114,6 +118,49 @@ class SQLiteFlowPersistence(FlowPersistence): """ ) + def _save_state_sql( + self, + conn: sqlite3.Connection, + flow_uuid: str, + method_name: str, + state_dict: dict[str, Any], + ) -> None: + """Execute the save-state INSERT without acquiring the lock. + + Args: + conn: An open SQLite connection. + flow_uuid: Unique identifier for the flow instance. + method_name: Name of the method that just completed. + state_dict: State data as a plain dict. + """ + conn.execute( + """ + INSERT INTO flow_states ( + flow_uuid, + method_name, + timestamp, + state_json + ) VALUES (?, ?, ?, ?) + """, + ( + flow_uuid, + method_name, + datetime.now(timezone.utc).isoformat(), + json.dumps(state_dict), + ), + ) + + @staticmethod + def _to_state_dict(state_data: dict[str, Any] | BaseModel) -> dict[str, Any]: + """Convert state_data to a plain dict.""" + if isinstance(state_data, BaseModel): + return state_data.model_dump() + if isinstance(state_data, dict): + return state_data + raise ValueError( + f"state_data must be either a Pydantic BaseModel or dict, got {type(state_data)}" + ) + def save_state( self, flow_uuid: str, @@ -127,33 +174,13 @@ class SQLiteFlowPersistence(FlowPersistence): method_name: Name of the method that just completed state_data: Current state data (either dict or Pydantic model) """ - # Convert state_data to dict, handling both Pydantic and dict cases - if isinstance(state_data, BaseModel): - state_dict = state_data.model_dump() - elif isinstance(state_data, dict): - state_dict = state_data - else: - raise ValueError( - f"state_data must be either a Pydantic BaseModel or dict, got {type(state_data)}" - ) + state_dict = self._to_state_dict(state_data) - with sqlite3.connect(self.db_path, timeout=30) as conn: - conn.execute( - """ - INSERT INTO flow_states ( - flow_uuid, - method_name, - timestamp, - state_json - ) VALUES (?, ?, ?, ?) - """, - ( - flow_uuid, - method_name, - datetime.now(timezone.utc).isoformat(), - json.dumps(state_dict), - ), - ) + with ( + store_lock(self._lock_name), + sqlite3.connect(self.db_path, timeout=30) as conn, + ): + self._save_state_sql(conn, flow_uuid, method_name, state_dict) def load_state(self, flow_uuid: str) -> dict[str, Any] | None: """Load the most recent state for a given flow UUID. @@ -198,24 +225,14 @@ class SQLiteFlowPersistence(FlowPersistence): context: The pending feedback context with all resume information state_data: Current state data """ - # Import here to avoid circular imports + state_dict = self._to_state_dict(state_data) - # Convert state_data to dict - if isinstance(state_data, BaseModel): - state_dict = state_data.model_dump() - elif isinstance(state_data, dict): - state_dict = state_data - else: - raise ValueError( - f"state_data must be either a Pydantic BaseModel or dict, got {type(state_data)}" - ) + with ( + store_lock(self._lock_name), + sqlite3.connect(self.db_path, timeout=30) as conn, + ): + self._save_state_sql(conn, flow_uuid, context.method_name, state_dict) - # Also save to regular state table for consistency - self.save_state(flow_uuid, context.method_name, state_data) - - # Save pending feedback context - with sqlite3.connect(self.db_path, timeout=30) as conn: - # Use INSERT OR REPLACE to handle re-triggering feedback on same flow conn.execute( """ INSERT OR REPLACE INTO pending_feedback ( @@ -273,7 +290,10 @@ class SQLiteFlowPersistence(FlowPersistence): Args: flow_uuid: Unique identifier for the flow instance """ - with sqlite3.connect(self.db_path, timeout=30) as conn: + with ( + store_lock(self._lock_name), + sqlite3.connect(self.db_path, timeout=30) as conn, + ): conn.execute( """ DELETE FROM pending_feedback diff --git a/lib/crewai/src/crewai/memory/analyze.py b/lib/crewai/src/crewai/memory/analyze.py index 88a200f82..e700f4281 100644 --- a/lib/crewai/src/crewai/memory/analyze.py +++ b/lib/crewai/src/crewai/memory/analyze.py @@ -308,7 +308,9 @@ def analyze_for_save( return MemoryAnalysis.model_validate(response) except Exception as e: _logger.warning( - "Memory save analysis failed, using defaults: %s", e, exc_info=False, + "Memory save analysis failed, using defaults: %s", + e, + exc_info=False, ) return _SAVE_DEFAULTS @@ -366,6 +368,8 @@ def analyze_for_consolidation( return ConsolidationPlan.model_validate(response) except Exception as e: _logger.warning( - "Consolidation analysis failed, defaulting to insert: %s", e, exc_info=False, + "Consolidation analysis failed, defaulting to insert: %s", + e, + exc_info=False, ) return _CONSOLIDATION_DEFAULT diff --git a/lib/crewai/src/crewai/memory/encoding_flow.py b/lib/crewai/src/crewai/memory/encoding_flow.py index 8cd312d4f..6387c45e6 100644 --- a/lib/crewai/src/crewai/memory/encoding_flow.py +++ b/lib/crewai/src/crewai/memory/encoding_flow.py @@ -434,40 +434,36 @@ class EncodingFlow(Flow[EncodingState]): ) ) - # All storage mutations under one lock so no other pipeline can - # interleave and cause version conflicts. The lock is reentrant - # (RLock) so the individual storage methods re-acquire it safely. updated_records: dict[str, MemoryRecord] = {} - with self._storage.write_lock: - if dedup_deletes: - self._storage.delete(record_ids=list(dedup_deletes)) - self.state.records_deleted += len(dedup_deletes) + if dedup_deletes: + self._storage.delete(record_ids=list(dedup_deletes)) + self.state.records_deleted += len(dedup_deletes) - for rid, (_item_idx, new_content) in dedup_updates.items(): - existing = all_similar.get(rid) - if existing is not None: - new_emb = update_emb_map.get(rid, []) - updated = MemoryRecord( - id=existing.id, - content=new_content, - scope=existing.scope, - categories=existing.categories, - metadata=existing.metadata, - importance=existing.importance, - created_at=existing.created_at, - last_accessed=now, - embedding=new_emb if new_emb else existing.embedding, - ) - self._storage.update(updated) - self.state.records_updated += 1 - updated_records[rid] = updated + for rid, (_item_idx, new_content) in dedup_updates.items(): + existing = all_similar.get(rid) + if existing is not None: + new_emb = update_emb_map.get(rid, []) + updated = MemoryRecord( + id=existing.id, + content=new_content, + scope=existing.scope, + categories=existing.categories, + metadata=existing.metadata, + importance=existing.importance, + created_at=existing.created_at, + last_accessed=now, + embedding=new_emb if new_emb else existing.embedding, + ) + self._storage.update(updated) + self.state.records_updated += 1 + updated_records[rid] = updated - if to_insert: - records = [r for _, r in to_insert] - self._storage.save(records) - self.state.records_inserted += len(records) - for idx, record in to_insert: - items[idx].result_record = record + if to_insert: + records = [r for _, r in to_insert] + self._storage.save(records) + self.state.records_inserted += len(records) + for idx, record in to_insert: + items[idx].result_record = record # Set result_record for non-insert items (after lock, using updated_records) for _i, item in enumerate(items): diff --git a/lib/crewai/src/crewai/memory/storage/kickoff_task_outputs_storage.py b/lib/crewai/src/crewai/memory/storage/kickoff_task_outputs_storage.py index f54d1c2f5..6cc6b6c64 100644 --- a/lib/crewai/src/crewai/memory/storage/kickoff_task_outputs_storage.py +++ b/lib/crewai/src/crewai/memory/storage/kickoff_task_outputs_storage.py @@ -1,5 +1,6 @@ import json import logging +import os from pathlib import Path import sqlite3 from typing import Any @@ -8,6 +9,7 @@ from crewai.task import Task from crewai.utilities import Printer from crewai.utilities.crew_json_encoder import CrewJSONEncoder from crewai.utilities.errors import DatabaseError, DatabaseOperationError +from crewai.utilities.lock_store import lock as store_lock from crewai.utilities.paths import db_storage_path @@ -24,6 +26,7 @@ class KickoffTaskOutputsSQLiteStorage: # Get the parent directory of the default db path and create our db file there db_path = str(Path(db_storage_path()) / "latest_kickoff_task_outputs.db") self.db_path = db_path + self._lock_name = f"sqlite:{os.path.realpath(self.db_path)}" self._printer: Printer = Printer() self._initialize_db() @@ -38,24 +41,25 @@ class KickoffTaskOutputsSQLiteStorage: DatabaseOperationError: If database initialization fails due to SQLite errors. """ try: - with sqlite3.connect(self.db_path, timeout=30) as conn: - conn.execute("PRAGMA journal_mode=WAL") - cursor = conn.cursor() - cursor.execute( + with store_lock(self._lock_name): + with sqlite3.connect(self.db_path, timeout=30) as conn: + conn.execute("PRAGMA journal_mode=WAL") + cursor = conn.cursor() + cursor.execute( + """ + CREATE TABLE IF NOT EXISTS latest_kickoff_task_outputs ( + task_id TEXT PRIMARY KEY, + expected_output TEXT, + output JSON, + task_index INTEGER, + inputs JSON, + was_replayed BOOLEAN, + timestamp DATETIME DEFAULT CURRENT_TIMESTAMP + ) """ - CREATE TABLE IF NOT EXISTS latest_kickoff_task_outputs ( - task_id TEXT PRIMARY KEY, - expected_output TEXT, - output JSON, - task_index INTEGER, - inputs JSON, - was_replayed BOOLEAN, - timestamp DATETIME DEFAULT CURRENT_TIMESTAMP ) - """ - ) - conn.commit() + conn.commit() except sqlite3.Error as e: error_msg = DatabaseError.format_error(DatabaseError.INIT_ERROR, e) logger.error(error_msg) @@ -83,25 +87,26 @@ class KickoffTaskOutputsSQLiteStorage: """ inputs = inputs or {} try: - with sqlite3.connect(self.db_path, timeout=30) as conn: - conn.execute("BEGIN TRANSACTION") - cursor = conn.cursor() - cursor.execute( - """ - INSERT OR REPLACE INTO latest_kickoff_task_outputs - (task_id, expected_output, output, task_index, inputs, was_replayed) - VALUES (?, ?, ?, ?, ?, ?) - """, - ( - str(task.id), - task.expected_output, - json.dumps(output, cls=CrewJSONEncoder), - task_index, - json.dumps(inputs, cls=CrewJSONEncoder), - was_replayed, - ), - ) - conn.commit() + with store_lock(self._lock_name): + with sqlite3.connect(self.db_path, timeout=30) as conn: + conn.execute("BEGIN TRANSACTION") + cursor = conn.cursor() + cursor.execute( + """ + INSERT OR REPLACE INTO latest_kickoff_task_outputs + (task_id, expected_output, output, task_index, inputs, was_replayed) + VALUES (?, ?, ?, ?, ?, ?) + """, + ( + str(task.id), + task.expected_output, + json.dumps(output, cls=CrewJSONEncoder), + task_index, + json.dumps(inputs, cls=CrewJSONEncoder), + was_replayed, + ), + ) + conn.commit() except sqlite3.Error as e: error_msg = DatabaseError.format_error(DatabaseError.SAVE_ERROR, e) logger.error(error_msg) @@ -126,30 +131,31 @@ class KickoffTaskOutputsSQLiteStorage: DatabaseOperationError: If updating the task output fails due to SQLite errors. """ try: - with sqlite3.connect(self.db_path, timeout=30) as conn: - conn.execute("BEGIN TRANSACTION") - cursor = conn.cursor() + with store_lock(self._lock_name): + with sqlite3.connect(self.db_path, timeout=30) as conn: + conn.execute("BEGIN TRANSACTION") + cursor = conn.cursor() - fields = [] - values = [] - for key, value in kwargs.items(): - fields.append(f"{key} = ?") - values.append( - json.dumps(value, cls=CrewJSONEncoder) - if isinstance(value, dict) - else value - ) + fields = [] + values = [] + for key, value in kwargs.items(): + fields.append(f"{key} = ?") + values.append( + json.dumps(value, cls=CrewJSONEncoder) + if isinstance(value, dict) + else value + ) - query = f"UPDATE latest_kickoff_task_outputs SET {', '.join(fields)} WHERE task_index = ?" # nosec # noqa: S608 - values.append(task_index) + query = f"UPDATE latest_kickoff_task_outputs SET {', '.join(fields)} WHERE task_index = ?" # nosec # noqa: S608 + values.append(task_index) - cursor.execute(query, tuple(values)) - conn.commit() + cursor.execute(query, tuple(values)) + conn.commit() - if cursor.rowcount == 0: - logger.warning( - f"No row found with task_index {task_index}. No update performed." - ) + if cursor.rowcount == 0: + logger.warning( + f"No row found with task_index {task_index}. No update performed." + ) except sqlite3.Error as e: error_msg = DatabaseError.format_error(DatabaseError.UPDATE_ERROR, e) logger.error(error_msg) @@ -206,11 +212,12 @@ class KickoffTaskOutputsSQLiteStorage: DatabaseOperationError: If deleting task outputs fails due to SQLite errors. """ try: - with sqlite3.connect(self.db_path, timeout=30) as conn: - conn.execute("BEGIN TRANSACTION") - cursor = conn.cursor() - cursor.execute("DELETE FROM latest_kickoff_task_outputs") - conn.commit() + with store_lock(self._lock_name): + with sqlite3.connect(self.db_path, timeout=30) as conn: + conn.execute("BEGIN TRANSACTION") + cursor = conn.cursor() + cursor.execute("DELETE FROM latest_kickoff_task_outputs") + conn.commit() except sqlite3.Error as e: error_msg = DatabaseError.format_error(DatabaseError.DELETE_ERROR, e) logger.error(error_msg) diff --git a/lib/crewai/src/crewai/memory/storage/lancedb_storage.py b/lib/crewai/src/crewai/memory/storage/lancedb_storage.py index 64cb3e393..014ac32fd 100644 --- a/lib/crewai/src/crewai/memory/storage/lancedb_storage.py +++ b/lib/crewai/src/crewai/memory/storage/lancedb_storage.py @@ -2,7 +2,6 @@ from __future__ import annotations -from contextlib import AbstractContextManager import contextvars from datetime import datetime import json @@ -11,9 +10,9 @@ import os from pathlib import Path import threading import time -from typing import Any, ClassVar +from typing import Any -import lancedb +import lancedb # type: ignore[import-untyped] from crewai.memory.types import MemoryRecord, ScopeInfo from crewai.utilities.lock_store import lock as store_lock @@ -42,15 +41,6 @@ _RETRY_BASE_DELAY = 0.2 # seconds; doubles on each retry class LanceDBStorage: """LanceDB-backed storage for the unified memory system.""" - # Class-level registry: maps resolved database path -> shared write lock. - # When multiple Memory instances (e.g. agent + crew) independently create - # LanceDBStorage pointing at the same directory, they share one lock so - # their writes don't conflict. - # Uses RLock (reentrant) so callers can hold the lock for a batch of - # operations while the individual methods re-acquire it without deadlocking. - _path_locks: ClassVar[dict[str, threading.RLock]] = {} - _path_locks_guard: ClassVar[threading.Lock] = threading.Lock() - def __init__( self, path: str | Path | None = None, @@ -86,11 +76,6 @@ class LanceDBStorage: self._table_name = table_name self._db = lancedb.connect(str(self._path)) - # On macOS and Linux the default per-process open-file limit is 256. - # A LanceDB table stores one file per fragment (one fragment per save() - # call by default). With hundreds of fragments, a single full-table - # scan opens all of them simultaneously, exhausting the limit. - # Raise it proactively so scans on large tables never hit OS error 24. try: import resource @@ -105,67 +90,44 @@ class LanceDBStorage: self._lock_name = f"lancedb:{self._path.resolve()}" - resolved = str(self._path.resolve()) - with LanceDBStorage._path_locks_guard: - if resolved not in LanceDBStorage._path_locks: - LanceDBStorage._path_locks[resolved] = threading.RLock() - self._write_lock = LanceDBStorage._path_locks[resolved] - # Try to open an existing table and infer dimension from its schema. # If no table exists yet, defer creation until the first save so the # dimension can be auto-detected from the embedder's actual output. try: - self._table: lancedb.table.Table | None = self._db.open_table( - self._table_name - ) + self._table: Any = self._db.open_table(self._table_name) self._vector_dim: int = self._infer_dim_from_table(self._table) - # Best-effort: create the scope index if it doesn't exist yet. - with self._file_lock(): + with store_lock(self._lock_name): self._ensure_scope_index() - # Compact in the background if the table has accumulated many - # fragments from previous runs (each save() creates one). self._compact_if_needed() except Exception: + _logger.debug( + "Failed to open existing LanceDB table %r", table_name, exc_info=True + ) self._table = None self._vector_dim = vector_dim or 0 # 0 = not yet known # Explicit dim provided: create the table immediately if it doesn't exist. if self._table is None and vector_dim is not None: self._vector_dim = vector_dim - with self._file_lock(): + with store_lock(self._lock_name): self._table = self._create_table(vector_dim) - @property - def write_lock(self) -> threading.RLock: - """The shared reentrant write lock for this database path. - - Callers can acquire this to hold the lock across multiple storage - operations (e.g. delete + update + save as one atomic batch). - Individual methods also acquire it internally, but since it's - reentrant (RLock), the same thread won't deadlock. - """ - return self._write_lock - @staticmethod - def _infer_dim_from_table(table: lancedb.table.Table) -> int: + def _infer_dim_from_table(table: Any) -> int: """Read vector dimension from an existing table's schema.""" schema = table.schema for field in schema: if field.name == "vector": try: - return field.type.list_size + return int(field.type.list_size) except Exception: break return DEFAULT_VECTOR_DIM - def _file_lock(self) -> AbstractContextManager[None]: - """Return a cross-process lock for serialising writes.""" - return store_lock(self._lock_name) - def _do_write(self, op: str, *args: Any, **kwargs: Any) -> Any: """Execute a single table write with retry on commit conflicts. - Caller must already hold the cross-process file lock. + Caller must already hold ``store_lock(self._lock_name)``. """ delay = _RETRY_BASE_DELAY for attempt in range(_MAX_RETRIES + 1): @@ -183,16 +145,16 @@ class LanceDBStorage: ) try: self._table = self._db.open_table(self._table_name) - except Exception: # noqa: S110 - pass + except Exception: + _logger.debug("Failed to re-open table during retry", exc_info=True) time.sleep(delay) delay *= 2 return None # unreachable, but satisfies type checker - def _create_table(self, vector_dim: int) -> lancedb.table.Table: + def _create_table(self, vector_dim: int) -> Any: """Create a new table with the given vector dimension. - Caller must already hold the cross-process file lock. + Caller must already hold ``store_lock(self._lock_name)``. """ placeholder = [ { @@ -230,8 +192,10 @@ class LanceDBStorage: return try: self._table.create_scalar_index("scope", index_type="BTREE", replace=False) - except Exception: # noqa: S110 - pass # index already exists, table empty, or unsupported version + except Exception: + _logger.debug( + "Scope index creation skipped (may already exist)", exc_info=True + ) # ------------------------------------------------------------------ # Automatic background compaction @@ -263,13 +227,13 @@ class LanceDBStorage: """Run ``table.optimize()`` in a background thread, absorbing errors.""" try: if self._table is not None: - with self._file_lock(): + with store_lock(self._lock_name): self._table.optimize() self._ensure_scope_index() except Exception: _logger.debug("LanceDB background compaction failed", exc_info=True) - def _ensure_table(self, vector_dim: int | None = None) -> lancedb.table.Table: + def _ensure_table(self, vector_dim: int | None = None) -> Any: """Return the table, creating it lazily if needed. Args: @@ -335,12 +299,12 @@ class LanceDBStorage: dim = len(r.embedding) break is_new_table = self._table is None - with self._write_lock, self._file_lock(): + with store_lock(self._lock_name): self._ensure_table(vector_dim=dim) - rows = [self._record_to_row(r) for r in records] - for r in rows: - if r["vector"] is None or len(r["vector"]) != self._vector_dim: - r["vector"] = [0.0] * self._vector_dim + rows = [self._record_to_row(rec) for rec in records] + for row in rows: + if row["vector"] is None or len(row["vector"]) != self._vector_dim: + row["vector"] = [0.0] * self._vector_dim self._do_write("add", rows) if is_new_table: self._ensure_scope_index() @@ -351,7 +315,7 @@ class LanceDBStorage: def update(self, record: MemoryRecord) -> None: """Update a record by ID. Preserves created_at, updates last_accessed.""" - with self._write_lock, self._file_lock(): + with store_lock(self._lock_name): self._ensure_table() safe_id = str(record.id).replace("'", "''") self._do_write("delete", f"id = '{safe_id}'") @@ -372,7 +336,7 @@ class LanceDBStorage: """ if not record_ids or self._table is None: return - with self._write_lock, self._file_lock(): + with store_lock(self._lock_name): now = datetime.utcnow().isoformat() safe_ids = [str(rid).replace("'", "''") for rid in record_ids] ids_expr = ", ".join(f"'{rid}'" for rid in safe_ids) @@ -386,11 +350,12 @@ class LanceDBStorage: """Return a single record by ID, or None if not found.""" if self._table is None: return None - safe_id = str(record_id).replace("'", "''") - rows = self._table.search().where(f"id = '{safe_id}'").limit(1).to_list() - if not rows: - return None - return self._row_to_record(rows[0]) + with store_lock(self._lock_name): + safe_id = str(record_id).replace("'", "''") + rows = self._table.search().where(f"id = '{safe_id}'").limit(1).to_list() + if not rows: + return None + return self._row_to_record(rows[0]) def search( self, @@ -403,14 +368,15 @@ class LanceDBStorage: ) -> list[tuple[MemoryRecord, float]]: if self._table is None: return [] - query = self._table.search(query_embedding) - if scope_prefix is not None and scope_prefix.strip("/"): - prefix = scope_prefix.rstrip("/") - like_val = prefix + "%" - query = query.where(f"scope LIKE '{like_val}'") - results = query.limit( - limit * 3 if (categories or metadata_filter) else limit - ).to_list() + with store_lock(self._lock_name): + query = self._table.search(query_embedding) + if scope_prefix is not None and scope_prefix.strip("/"): + prefix = scope_prefix.rstrip("/") + like_val = prefix + "%" + query = query.where(f"scope LIKE '{like_val}'") + results = query.limit( + limit * 3 if (categories or metadata_filter) else limit + ).to_list() out: list[tuple[MemoryRecord, float]] = [] for row in results: record = self._row_to_record(row) @@ -438,12 +404,12 @@ class LanceDBStorage: ) -> int: if self._table is None: return 0 - with self._write_lock, self._file_lock(): + with store_lock(self._lock_name): if record_ids and not (categories or metadata_filter): - before = self._table.count_rows() + before = int(self._table.count_rows()) ids_expr = ", ".join(f"'{rid}'" for rid in record_ids) self._do_write("delete", f"id IN ({ids_expr})") - return before - self._table.count_rows() + return before - int(self._table.count_rows()) if categories or metadata_filter: rows = self._scan_rows(scope_prefix) to_delete: list[str] = [] @@ -462,10 +428,10 @@ class LanceDBStorage: to_delete.append(record.id) if not to_delete: return 0 - before = self._table.count_rows() + before = int(self._table.count_rows()) ids_expr = ", ".join(f"'{rid}'" for rid in to_delete) self._do_write("delete", f"id IN ({ids_expr})") - return before - self._table.count_rows() + return before - int(self._table.count_rows()) conditions = [] if scope_prefix is not None and scope_prefix.strip("/"): prefix = scope_prefix.rstrip("/") @@ -475,13 +441,13 @@ class LanceDBStorage: if older_than is not None: conditions.append(f"created_at < '{older_than.isoformat()}'") if not conditions: - before = self._table.count_rows() + before = int(self._table.count_rows()) self._do_write("delete", "id != ''") - return before - self._table.count_rows() + return before - int(self._table.count_rows()) where_expr = " AND ".join(conditions) - before = self._table.count_rows() + before = int(self._table.count_rows()) self._do_write("delete", where_expr) - return before - self._table.count_rows() + return before - int(self._table.count_rows()) def _scan_rows( self, @@ -494,6 +460,8 @@ class LanceDBStorage: Uses a full table scan (no vector query) so the limit is applied after the scope filter, not to ANN candidates before filtering. + Caller must hold ``store_lock(self._lock_name)``. + Args: scope_prefix: Optional scope path prefix to filter by. limit: Maximum number of rows to return (applied after filtering). @@ -508,7 +476,8 @@ class LanceDBStorage: q = q.where(f"scope LIKE '{scope_prefix.rstrip('/')}%'") if columns is not None: q = q.select(columns) - return q.limit(limit).to_list() + result: list[dict[str, Any]] = q.limit(limit).to_list() + return result def list_records( self, scope_prefix: str | None = None, limit: int = 200, offset: int = 0 @@ -523,7 +492,8 @@ class LanceDBStorage: Returns: List of MemoryRecord, ordered by created_at descending. """ - rows = self._scan_rows(scope_prefix, limit=limit + offset) + with store_lock(self._lock_name): + rows = self._scan_rows(scope_prefix, limit=limit + offset) records = [self._row_to_record(r) for r in rows] records.sort(key=lambda r: r.created_at, reverse=True) return records[offset : offset + limit] @@ -533,10 +503,11 @@ class LanceDBStorage: prefix = scope if scope != "/" else "" if prefix and not prefix.startswith("/"): prefix = "/" + prefix - rows = self._scan_rows( - prefix or None, - columns=["scope", "categories_str", "created_at"], - ) + with store_lock(self._lock_name): + rows = self._scan_rows( + prefix or None, + columns=["scope", "categories_str", "created_at"], + ) if not rows: return ScopeInfo( path=scope or "/", @@ -587,7 +558,8 @@ class LanceDBStorage: def list_scopes(self, parent: str = "/") -> list[str]: parent = parent.rstrip("/") or "" prefix = (parent + "/") if parent else "/" - rows = self._scan_rows(prefix if prefix != "/" else None, columns=["scope"]) + with store_lock(self._lock_name): + rows = self._scan_rows(prefix if prefix != "/" else None, columns=["scope"]) children: set[str] = set() for row in rows: sc = str(row.get("scope", "")) @@ -599,7 +571,8 @@ class LanceDBStorage: return sorted(children) def list_categories(self, scope_prefix: str | None = None) -> dict[str, int]: - rows = self._scan_rows(scope_prefix, columns=["categories_str"]) + with store_lock(self._lock_name): + rows = self._scan_rows(scope_prefix, columns=["categories_str"]) counts: dict[str, int] = {} for row in rows: cat_str = row.get("categories_str") or "[]" @@ -615,12 +588,13 @@ class LanceDBStorage: if self._table is None: return 0 if scope_prefix is None or scope_prefix.strip("/") == "": - return self._table.count_rows() + with store_lock(self._lock_name): + return int(self._table.count_rows()) info = self.get_scope_info(scope_prefix) return info.record_count def reset(self, scope_prefix: str | None = None) -> None: - with self._write_lock, self._file_lock(): + with store_lock(self._lock_name): if scope_prefix is None or scope_prefix.strip("/") == "": if self._table is not None: self._db.drop_table(self._table_name) @@ -646,7 +620,7 @@ class LanceDBStorage: """ if self._table is None: return - with self._write_lock, self._file_lock(): + with store_lock(self._lock_name): self._table.optimize() self._ensure_scope_index() diff --git a/lib/crewai/src/crewai/rag/chromadb/client.py b/lib/crewai/src/crewai/rag/chromadb/client.py index 36bd8ab10..b95a37385 100644 --- a/lib/crewai/src/crewai/rag/chromadb/client.py +++ b/lib/crewai/src/crewai/rag/chromadb/client.py @@ -1,5 +1,8 @@ """ChromaDB client implementation.""" +import asyncio +from collections.abc import AsyncIterator +from contextlib import AbstractContextManager, asynccontextmanager, nullcontext import logging from typing import Any @@ -29,6 +32,7 @@ from crewai.rag.core.base_client import ( BaseCollectionParams, ) from crewai.rag.types import SearchResult +from crewai.utilities.lock_store import lock as store_lock from crewai.utilities.logger_utils import suppress_logging @@ -52,6 +56,7 @@ class ChromaDBClient(BaseClient): default_limit: int = 5, default_score_threshold: float = 0.6, default_batch_size: int = 100, + lock_name: str = "", ) -> None: """Initialize ChromaDBClient with client and embedding function. @@ -61,12 +66,32 @@ class ChromaDBClient(BaseClient): default_limit: Default number of results to return in searches. default_score_threshold: Default minimum score for search results. default_batch_size: Default batch size for adding documents. + lock_name: Optional lock name for cross-process synchronization. """ self.client = client self.embedding_function = embedding_function self.default_limit = default_limit self.default_score_threshold = default_score_threshold self.default_batch_size = default_batch_size + self._lock_name = lock_name + + def _locked(self) -> AbstractContextManager[None]: + """Return a cross-process lock context manager, or nullcontext if no lock name.""" + return store_lock(self._lock_name) if self._lock_name else nullcontext() + + @asynccontextmanager + async def _alocked(self) -> AsyncIterator[None]: + """Async cross-process lock that acquires/releases in an executor.""" + if not self._lock_name: + yield + return + lock_cm = store_lock(self._lock_name) + loop = asyncio.get_event_loop() + await loop.run_in_executor(None, lock_cm.__enter__) + try: + yield + finally: + await loop.run_in_executor(None, lock_cm.__exit__, None, None, None) def create_collection( self, **kwargs: Unpack[ChromaDBCollectionCreateParams] @@ -313,23 +338,24 @@ class ChromaDBClient(BaseClient): if not documents: raise ValueError("Documents list cannot be empty") - collection = self.client.get_or_create_collection( - name=_sanitize_collection_name(collection_name), - embedding_function=self.embedding_function, - ) - - prepared = _prepare_documents_for_chromadb(documents) - - for i in range(0, len(prepared.ids), batch_size): - batch_ids, batch_texts, batch_metadatas = _create_batch_slice( - prepared=prepared, start_index=i, batch_size=batch_size + with self._locked(): + collection = self.client.get_or_create_collection( + name=_sanitize_collection_name(collection_name), + embedding_function=self.embedding_function, ) - collection.upsert( - ids=batch_ids, - documents=batch_texts, - metadatas=batch_metadatas, # type: ignore[arg-type] - ) + prepared = _prepare_documents_for_chromadb(documents) + + for i in range(0, len(prepared.ids), batch_size): + batch_ids, batch_texts, batch_metadatas = _create_batch_slice( + prepared=prepared, start_index=i, batch_size=batch_size + ) + + collection.upsert( + ids=batch_ids, + documents=batch_texts, + metadatas=batch_metadatas, # type: ignore[arg-type] + ) async def aadd_documents(self, **kwargs: Unpack[BaseCollectionAddParams]) -> None: """Add documents with their embeddings to a collection asynchronously. @@ -363,22 +389,23 @@ class ChromaDBClient(BaseClient): if not documents: raise ValueError("Documents list cannot be empty") - collection = await self.client.get_or_create_collection( - name=_sanitize_collection_name(collection_name), - embedding_function=self.embedding_function, - ) - prepared = _prepare_documents_for_chromadb(documents) - - for i in range(0, len(prepared.ids), batch_size): - batch_ids, batch_texts, batch_metadatas = _create_batch_slice( - prepared=prepared, start_index=i, batch_size=batch_size + async with self._alocked(): + collection = await self.client.get_or_create_collection( + name=_sanitize_collection_name(collection_name), + embedding_function=self.embedding_function, ) + prepared = _prepare_documents_for_chromadb(documents) - await collection.upsert( - ids=batch_ids, - documents=batch_texts, - metadatas=batch_metadatas, # type: ignore[arg-type] - ) + for i in range(0, len(prepared.ids), batch_size): + batch_ids, batch_texts, batch_metadatas = _create_batch_slice( + prepared=prepared, start_index=i, batch_size=batch_size + ) + + await collection.upsert( + ids=batch_ids, + documents=batch_texts, + metadatas=batch_metadatas, # type: ignore[arg-type] + ) def search( self, **kwargs: Unpack[ChromaDBCollectionSearchParams] @@ -419,29 +446,30 @@ class ChromaDBClient(BaseClient): params = _extract_search_params(kwargs) - collection = self.client.get_or_create_collection( - name=_sanitize_collection_name(params.collection_name), - embedding_function=self.embedding_function, - ) - - where = params.where if params.where is not None else params.metadata_filter - - with suppress_logging( - "chromadb.segment.impl.vector.local_persistent_hnsw", logging.ERROR - ): - results: QueryResult = collection.query( - query_texts=[params.query], - n_results=params.limit, - where=where, - where_document=params.where_document, - include=params.include, + with self._locked(): + collection = self.client.get_or_create_collection( + name=_sanitize_collection_name(params.collection_name), + embedding_function=self.embedding_function, ) - return _process_query_results( - collection=collection, - results=results, - params=params, - ) + where = params.where if params.where is not None else params.metadata_filter + + with suppress_logging( + "chromadb.segment.impl.vector.local_persistent_hnsw", logging.ERROR + ): + results: QueryResult = collection.query( + query_texts=[params.query], + n_results=params.limit, + where=where, + where_document=params.where_document, + include=params.include, + ) + + return _process_query_results( + collection=collection, + results=results, + params=params, + ) async def asearch( self, **kwargs: Unpack[ChromaDBCollectionSearchParams] @@ -482,29 +510,30 @@ class ChromaDBClient(BaseClient): params = _extract_search_params(kwargs) - collection = await self.client.get_or_create_collection( - name=_sanitize_collection_name(params.collection_name), - embedding_function=self.embedding_function, - ) - - where = params.where if params.where is not None else params.metadata_filter - - with suppress_logging( - "chromadb.segment.impl.vector.local_persistent_hnsw", logging.ERROR - ): - results: QueryResult = await collection.query( - query_texts=[params.query], - n_results=params.limit, - where=where, - where_document=params.where_document, - include=params.include, + async with self._alocked(): + collection = await self.client.get_or_create_collection( + name=_sanitize_collection_name(params.collection_name), + embedding_function=self.embedding_function, ) - return _process_query_results( - collection=collection, - results=results, - params=params, - ) + where = params.where if params.where is not None else params.metadata_filter + + with suppress_logging( + "chromadb.segment.impl.vector.local_persistent_hnsw", logging.ERROR + ): + results: QueryResult = await collection.query( + query_texts=[params.query], + n_results=params.limit, + where=where, + where_document=params.where_document, + include=params.include, + ) + + return _process_query_results( + collection=collection, + results=results, + params=params, + ) def delete_collection(self, **kwargs: Unpack[BaseCollectionParams]) -> None: """Delete a collection and all its data. @@ -531,7 +560,10 @@ class ChromaDBClient(BaseClient): ) collection_name = kwargs["collection_name"] - self.client.delete_collection(name=_sanitize_collection_name(collection_name)) + with self._locked(): + self.client.delete_collection( + name=_sanitize_collection_name(collection_name) + ) async def adelete_collection(self, **kwargs: Unpack[BaseCollectionParams]) -> None: """Delete a collection and all its data asynchronously. @@ -561,9 +593,10 @@ class ChromaDBClient(BaseClient): ) collection_name = kwargs["collection_name"] - await self.client.delete_collection( - name=_sanitize_collection_name(collection_name) - ) + async with self._alocked(): + await self.client.delete_collection( + name=_sanitize_collection_name(collection_name) + ) def reset(self) -> None: """Reset the vector database by deleting all collections and data. @@ -586,7 +619,8 @@ class ChromaDBClient(BaseClient): "Use areset() for AsyncClientAPI." ) - self.client.reset() + with self._locked(): + self.client.reset() async def areset(self) -> None: """Reset the vector database by deleting all collections and data asynchronously. @@ -612,4 +646,5 @@ class ChromaDBClient(BaseClient): "Use reset() for ClientAPI." ) - await self.client.reset() + async with self._alocked(): + await self.client.reset() diff --git a/lib/crewai/src/crewai/rag/chromadb/factory.py b/lib/crewai/src/crewai/rag/chromadb/factory.py index 2a857e067..f48425ab3 100644 --- a/lib/crewai/src/crewai/rag/chromadb/factory.py +++ b/lib/crewai/src/crewai/rag/chromadb/factory.py @@ -39,4 +39,5 @@ def create_client(config: ChromaDBConfig) -> ChromaDBClient: default_limit=config.limit, default_score_threshold=config.score_threshold, default_batch_size=config.batch_size, + lock_name=f"chromadb:{persist_dir}", ) diff --git a/lib/crewai/src/crewai/task.py b/lib/crewai/src/crewai/task.py index fb0275364..6977eb638 100644 --- a/lib/crewai/src/crewai/task.py +++ b/lib/crewai/src/crewai/task.py @@ -1,8 +1,8 @@ from __future__ import annotations import asyncio -import contextvars from concurrent.futures import Future +import contextvars from copy import copy as shallow_copy import datetime from hashlib import md5 diff --git a/lib/crewai/src/crewai/utilities/file_handler.py b/lib/crewai/src/crewai/utilities/file_handler.py index ff50197a1..c456d58df 100644 --- a/lib/crewai/src/crewai/utilities/file_handler.py +++ b/lib/crewai/src/crewai/utilities/file_handler.py @@ -6,6 +6,8 @@ from typing import Any, TypedDict from typing_extensions import Unpack +from crewai.utilities.lock_store import lock as store_lock + class LogEntry(TypedDict, total=False): """TypedDict for log entry kwargs with optional fields for flexibility.""" @@ -90,33 +92,36 @@ class FileHandler: ValueError: If logging fails. """ try: - now = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - log_entry = {"timestamp": now, **kwargs} + with store_lock(f"file:{os.path.realpath(self._path)}"): + now = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + log_entry = {"timestamp": now, **kwargs} - if self._path.endswith(".json"): - # Append log in JSON format - try: - # Try reading existing content to avoid overwriting - with open(self._path, encoding="utf-8") as read_file: - existing_data = json.load(read_file) - existing_data.append(log_entry) - except (json.JSONDecodeError, FileNotFoundError): - # If no valid JSON or file doesn't exist, start with an empty list - existing_data = [log_entry] + if self._path.endswith(".json"): + # Append log in JSON format + try: + # Try reading existing content to avoid overwriting + with open(self._path, encoding="utf-8") as read_file: + existing_data = json.load(read_file) + existing_data.append(log_entry) + except (json.JSONDecodeError, FileNotFoundError): + # If no valid JSON or file doesn't exist, start with an empty list + existing_data = [log_entry] - with open(self._path, "w", encoding="utf-8") as write_file: - json.dump(existing_data, write_file, indent=4) - write_file.write("\n") + with open(self._path, "w", encoding="utf-8") as write_file: + json.dump(existing_data, write_file, indent=4) + write_file.write("\n") - else: - # Append log in plain text format - message = ( - f"{now}: " - + ", ".join([f'{key}="{value}"' for key, value in kwargs.items()]) - + "\n" - ) - with open(self._path, "a", encoding="utf-8") as file: - file.write(message) + else: + # Append log in plain text format + message = ( + f"{now}: " + + ", ".join( + [f'{key}="{value}"' for key, value in kwargs.items()] + ) + + "\n" + ) + with open(self._path, "a", encoding="utf-8") as file: + file.write(message) except Exception as e: raise ValueError(f"Failed to log message: {e!s}") from e @@ -153,8 +158,9 @@ class PickleHandler: Args: data: The data to be saved to the file. """ - with open(self.file_path, "wb") as f: - pickle.dump(obj=data, file=f) + with store_lock(f"file:{os.path.realpath(self.file_path)}"): + with open(self.file_path, "wb") as f: + pickle.dump(obj=data, file=f) def load(self) -> Any: """Load the data from the specified file using pickle. @@ -162,13 +168,17 @@ class PickleHandler: Returns: The data loaded from the file. """ - if not os.path.exists(self.file_path) or os.path.getsize(self.file_path) == 0: - return {} # Return an empty dictionary if the file does not exist or is empty + with store_lock(f"file:{os.path.realpath(self.file_path)}"): + if ( + not os.path.exists(self.file_path) + or os.path.getsize(self.file_path) == 0 + ): + return {} - with open(self.file_path, "rb") as file: - try: - return pickle.load(file) # noqa: S301 - except EOFError: - return {} # Return an empty dictionary if the file is empty or corrupted - except Exception: - raise # Raise any other exceptions that occur during loading + with open(self.file_path, "rb") as file: + try: + return pickle.load(file) # noqa: S301 + except EOFError: + return {} + except Exception: + raise diff --git a/lib/crewai/src/crewai/utilities/i18n.py b/lib/crewai/src/crewai/utilities/i18n.py index 0968286e2..e7a94ea7a 100644 --- a/lib/crewai/src/crewai/utilities/i18n.py +++ b/lib/crewai/src/crewai/utilities/i18n.py @@ -100,7 +100,12 @@ class I18N(BaseModel): def retrieve( self, kind: Literal[ - "slices", "errors", "tools", "reasoning", "hierarchical_manager_agent", "memory" + "slices", + "errors", + "tools", + "reasoning", + "hierarchical_manager_agent", + "memory", ], key: str, ) -> str: diff --git a/lib/crewai/src/crewai/utilities/pydantic_schema_utils.py b/lib/crewai/src/crewai/utilities/pydantic_schema_utils.py index 87d80da81..62536cbe7 100644 --- a/lib/crewai/src/crewai/utilities/pydantic_schema_utils.py +++ b/lib/crewai/src/crewai/utilities/pydantic_schema_utils.py @@ -657,7 +657,10 @@ def _json_schema_to_pydantic_field( A tuple of (type, Field) for use with create_model. """ type_ = _json_schema_to_pydantic_type( - json_schema, root_schema, name_=name.title(), enrich_descriptions=enrich_descriptions + json_schema, + root_schema, + name_=name.title(), + enrich_descriptions=enrich_descriptions, ) is_required = name in required @@ -806,7 +809,10 @@ def _json_schema_to_pydantic_type( if ref: ref_schema = _resolve_ref(ref, root_schema) return _json_schema_to_pydantic_type( - ref_schema, root_schema, name_=name_, enrich_descriptions=enrich_descriptions + ref_schema, + root_schema, + name_=name_, + enrich_descriptions=enrich_descriptions, ) enum_values = json_schema.get("enum") @@ -835,12 +841,16 @@ def _json_schema_to_pydantic_type( if all_of_schemas: if len(all_of_schemas) == 1: return _json_schema_to_pydantic_type( - all_of_schemas[0], root_schema, name_=name_, + all_of_schemas[0], + root_schema, + name_=name_, enrich_descriptions=enrich_descriptions, ) merged = _merge_all_of_schemas(all_of_schemas, root_schema) return _json_schema_to_pydantic_type( - merged, root_schema, name_=name_, + merged, + root_schema, + name_=name_, enrich_descriptions=enrich_descriptions, ) @@ -858,7 +868,9 @@ def _json_schema_to_pydantic_type( items_schema = json_schema.get("items") if items_schema: item_type = _json_schema_to_pydantic_type( - items_schema, root_schema, name_=name_, + items_schema, + root_schema, + name_=name_, enrich_descriptions=enrich_descriptions, ) return list[item_type] # type: ignore[valid-type] @@ -870,7 +882,8 @@ def _json_schema_to_pydantic_type( if json_schema_.get("title") is None: json_schema_["title"] = name_ or "DynamicModel" return create_model_from_schema( - json_schema_, root_schema=root_schema, + json_schema_, + root_schema=root_schema, enrich_descriptions=enrich_descriptions, ) return dict diff --git a/lib/crewai/tests/tracing/test_tracing.py b/lib/crewai/tests/tracing/test_tracing.py index ba49a37c8..c2558c17c 100644 --- a/lib/crewai/tests/tracing/test_tracing.py +++ b/lib/crewai/tests/tracing/test_tracing.py @@ -23,15 +23,9 @@ class TestTraceListenerSetup: @pytest.fixture(autouse=True) def mock_user_data_file_io(self): """Mock user data file I/O to prevent file system pollution between tests""" - with ( - patch( - "crewai.events.listeners.tracing.utils._load_user_data", - return_value={}, - ), - patch( - "crewai.events.listeners.tracing.utils._save_user_data", - return_value=None, - ), + with patch( + "crewai.events.listeners.tracing.utils._load_user_data", + return_value={}, ): yield From 326ec15d54b174d6502f0bf59b2a201511c60846 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Fri, 13 Mar 2026 16:41:27 -0400 Subject: [PATCH 05/15] feat(devtools): add release command and trigger PyPI publish * feat(devtools): add release command and fix automerge on protected branches Replace gh pr merge --auto with polling-based merge wait that prints the PR URL for manual review. Add unified release command that chains bump and tag into a single end-to-end workflow. * feat(devtools): trigger PyPI publish workflow after GitHub release * refactor(devtools): extract shared helpers to eliminate duplication Extract _poll_pr_until_merged, _update_all_versions, _generate_release_notes, _update_docs_and_create_pr, _create_tag_and_release, and _trigger_pypi_publish into reusable helpers. All three commands (bump, tag, release) now compose from these shared functions. --- lib/devtools/README.md | 54 ++ lib/devtools/pyproject.toml | 1 + lib/devtools/src/crewai_devtools/cli.py | 888 +++++++++++++++--------- 3 files changed, 602 insertions(+), 341 deletions(-) diff --git a/lib/devtools/README.md b/lib/devtools/README.md index e69de29bb..699c05593 100644 --- a/lib/devtools/README.md +++ b/lib/devtools/README.md @@ -0,0 +1,54 @@ +# crewai-devtools + +CLI for versioning and releasing crewAI packages. + +## Setup + +Installed automatically via the workspace (`uv sync`). Requires: + +- [GitHub CLI](https://cli.github.com/) (`gh`) — authenticated +- `OPENAI_API_KEY` env var — for release note generation and translation + +## Commands + +### `devtools release ` + +Full end-to-end release. Bumps versions, creates PRs, tags, and publishes a GitHub release. + +``` +devtools release 1.10.3 +devtools release 1.10.3a1 # pre-release +devtools release 1.10.3 --no-edit # skip editing release notes +devtools release 1.10.3 --dry-run # preview without changes +``` + +**Flow:** + +1. Bumps `__version__` and dependency pins across all `lib/` packages +2. Runs `uv sync` +3. Creates version bump PR against main, polls until merged +4. Generates release notes (OpenAI) from commits since last release +5. Updates changelogs (en, pt-BR, ko) and docs version switcher +6. Creates docs PR against main, polls until merged +7. Tags main and creates GitHub release + +### `devtools bump ` + +Bump versions only (phase 1 of `release`). + +``` +devtools bump 1.10.3 +devtools bump 1.10.3 --no-push # don't push or create PR +devtools bump 1.10.3 --no-commit # only update files +devtools bump 1.10.3 --dry-run +``` + +### `devtools tag` + +Tag and release only (phase 2 of `release`). Run after the bump PR is merged. + +``` +devtools tag +devtools tag --no-edit +devtools tag --dry-run +``` \ No newline at end of file diff --git a/lib/devtools/pyproject.toml b/lib/devtools/pyproject.toml index 58347585e..af557b413 100644 --- a/lib/devtools/pyproject.toml +++ b/lib/devtools/pyproject.toml @@ -21,6 +21,7 @@ dependencies = [ [project.scripts] bump-version = "crewai_devtools.cli:bump" tag = "crewai_devtools.cli:tag" +release = "crewai_devtools.cli:release" devtools = "crewai_devtools.cli:main" [build-system] diff --git a/lib/devtools/src/crewai_devtools/cli.py b/lib/devtools/src/crewai_devtools/cli.py index 32950c39f..30a6c07d9 100644 --- a/lib/devtools/src/crewai_devtools/cli.py +++ b/lib/devtools/src/crewai_devtools/cli.py @@ -4,6 +4,7 @@ import os from pathlib import Path import subprocess import sys +import time import click from dotenv import load_dotenv @@ -554,6 +555,408 @@ def get_github_contributors(commit_range: str) -> list[str]: return [] +# --------------------------------------------------------------------------- +# Shared workflow helpers +# --------------------------------------------------------------------------- + + +def _poll_pr_until_merged(branch_name: str, label: str) -> None: + """Poll a GitHub PR until it is merged. Exit if closed without merging.""" + console.print(f"[cyan]Waiting for {label} to be merged...[/cyan]") + while True: + time.sleep(10) + try: + state = run_command( + [ + "gh", + "pr", + "view", + branch_name, + "--json", + "state", + "--jq", + ".state", + ] + ) + except subprocess.CalledProcessError: + state = "" + + if state == "MERGED": + break + + if state == "CLOSED": + console.print(f"[red]✗[/red] {label} was closed without merging") + sys.exit(1) + + console.print(f"[dim]Still waiting for {label} to merge...[/dim]") + + console.print(f"[green]✓[/green] {label} merged") + + +def _update_all_versions( + cwd: Path, + lib_dir: Path, + version: str, + packages: list[Path], + dry_run: bool, +) -> list[Path]: + """Bump __version__, pyproject deps, template deps, and run uv sync.""" + updated_files: list[Path] = [] + + for pkg in packages: + version_files = find_version_files(pkg) + for vfile in version_files: + if dry_run: + console.print( + f"[dim][DRY RUN][/dim] Would update: {vfile.relative_to(cwd)}" + ) + else: + if update_version_in_file(vfile, version): + console.print(f"[green]✓[/green] Updated: {vfile.relative_to(cwd)}") + updated_files.append(vfile) + else: + console.print( + f"[red]✗[/red] Failed to update: {vfile.relative_to(cwd)}" + ) + + pyproject = pkg / "pyproject.toml" + if pyproject.exists(): + if dry_run: + console.print( + f"[dim][DRY RUN][/dim] Would update dependencies in: {pyproject.relative_to(cwd)}" + ) + else: + if update_pyproject_dependencies(pyproject, version): + console.print( + f"[green]✓[/green] Updated dependencies in: {pyproject.relative_to(cwd)}" + ) + updated_files.append(pyproject) + + if not updated_files and not dry_run: + console.print( + "[yellow]Warning:[/yellow] No __version__ attributes found to update" + ) + + # Update CLI template pyproject.toml files + templates_dir = lib_dir / "crewai" / "src" / "crewai" / "cli" / "templates" + if templates_dir.exists(): + if dry_run: + for tpl in templates_dir.rglob("pyproject.toml"): + console.print( + f"[dim][DRY RUN][/dim] Would update template: {tpl.relative_to(cwd)}" + ) + else: + tpl_updated = update_template_dependencies(templates_dir, version) + for tpl in tpl_updated: + console.print( + f"[green]✓[/green] Updated template: {tpl.relative_to(cwd)}" + ) + updated_files.append(tpl) + + if not dry_run: + console.print("\nSyncing workspace...") + run_command(["uv", "sync"]) + console.print("[green]✓[/green] Workspace synced") + else: + console.print("[dim][DRY RUN][/dim] Would run: uv sync") + + return updated_files + + +def _generate_release_notes( + version: str, + tag_name: str, + no_edit: bool, +) -> tuple[str, OpenAI, bool]: + """Generate, display, and optionally edit release notes. + + Returns: + Tuple of (release_notes, openai_client, is_prerelease). + """ + release_notes = f"Release {version}" + commits = "" + + with console.status("[cyan]Generating release notes..."): + try: + prev_bump_commit = run_command( + [ + "git", + "log", + "--grep=^feat: bump versions to", + "--format=%H", + "-n", + "2", + ] + ) + commits_list = prev_bump_commit.strip().split("\n") + + if len(commits_list) > 1: + prev_commit = commits_list[1] + commit_range = f"{prev_commit}..HEAD" + commits = run_command( + ["git", "log", commit_range, "--pretty=format:%s"] + ) + + commit_lines = [ + line + for line in commits.split("\n") + if not line.startswith("feat: bump versions to") + ] + commits = "\n".join(commit_lines) + else: + commit_range, commits = get_commits_from_last_tag(tag_name, version) + + except subprocess.CalledProcessError: + commit_range, commits = get_commits_from_last_tag(tag_name, version) + + github_contributors = get_github_contributors(commit_range) + + openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) + + if commits.strip(): + contributors_section = "" + if github_contributors: + contributors_section = f"\n\n## Contributors\n\n{', '.join([f'@{u}' for u in github_contributors])}" + + prompt = RELEASE_NOTES_PROMPT.substitute( + version=version, + commits=commits, + contributors_section=contributors_section, + ) + + response = openai_client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + { + "role": "system", + "content": "You are a helpful assistant that generates clear, concise release notes.", + }, + {"role": "user", "content": prompt}, + ], + temperature=0.7, + ) + + release_notes = response.choices[0].message.content or f"Release {version}" + + console.print("[green]✓[/green] Generated release notes") + + if commits.strip(): + try: + console.print() + md = Markdown(release_notes, justify="left") + console.print( + Panel( + md, + title="[bold cyan]Generated Release Notes[/bold cyan]", + border_style="cyan", + padding=(1, 2), + ) + ) + except Exception as e: + console.print( + f"[yellow]Warning:[/yellow] Could not render release notes: {e}" + ) + console.print("Using default release notes") + + if not no_edit: + if Confirm.ask( + "\n[bold]Would you like to edit the release notes?[/bold]", default=True + ): + edited_notes = click.edit(release_notes) + if edited_notes is not None: + release_notes = edited_notes.strip() + console.print("\n[green]✓[/green] Release notes updated") + else: + console.print("\n[green]✓[/green] Using original release notes") + else: + console.print( + "\n[green]✓[/green] Using generated release notes without editing" + ) + else: + console.print( + "\n[green]✓[/green] Using generated release notes without editing" + ) + + is_prerelease = any( + indicator in version.lower() + for indicator in ["a", "b", "rc", "alpha", "beta", "dev"] + ) + + return release_notes, openai_client, is_prerelease + + +def _update_docs_and_create_pr( + cwd: Path, + version: str, + release_notes: str, + openai_client: OpenAI, + is_prerelease: bool, + dry_run: bool, +) -> str | None: + """Update changelogs and docs version switcher, create PR if needed. + + Returns: + The docs branch name if a PR was created, None otherwise. + """ + docs_json_path = cwd / "docs" / "docs.json" + changelog_langs = ["en", "pt-BR", "ko"] + + if not dry_run: + docs_files_staged: list[str] = [] + + for lang in changelog_langs: + cl_path = cwd / "docs" / lang / "changelog.mdx" + if lang == "en": + notes_for_lang = release_notes + else: + console.print(f"[dim]Translating release notes to {lang}...[/dim]") + notes_for_lang = translate_release_notes( + release_notes, lang, openai_client + ) + if update_changelog(cl_path, version, notes_for_lang, lang=lang): + console.print(f"[green]✓[/green] Updated {cl_path.relative_to(cwd)}") + docs_files_staged.append(str(cl_path)) + else: + console.print( + f"[yellow]Warning:[/yellow] Changelog not found at {cl_path.relative_to(cwd)}" + ) + + if not is_prerelease: + if add_docs_version(docs_json_path, version): + console.print( + f"[green]✓[/green] Added v{version} to docs version switcher" + ) + docs_files_staged.append(str(docs_json_path)) + else: + console.print( + f"[yellow]Warning:[/yellow] docs.json not found at {docs_json_path.relative_to(cwd)}" + ) + + if docs_files_staged: + docs_branch = f"docs/changelog-v{version}" + run_command(["git", "checkout", "-b", docs_branch]) + for f in docs_files_staged: + run_command(["git", "add", f]) + run_command( + [ + "git", + "commit", + "-m", + f"docs: update changelog and version for v{version}", + ] + ) + console.print("[green]✓[/green] Committed docs updates") + + run_command(["git", "push", "-u", "origin", docs_branch]) + console.print(f"[green]✓[/green] Pushed branch {docs_branch}") + + pr_url = run_command( + [ + "gh", + "pr", + "create", + "--base", + "main", + "--title", + f"docs: update changelog and version for v{version}", + "--body", + "", + ] + ) + console.print("[green]✓[/green] Created docs PR") + console.print(f"[cyan]PR URL:[/cyan] {pr_url}") + return docs_branch + + return None + for lang in changelog_langs: + cl_path = cwd / "docs" / lang / "changelog.mdx" + translated = " (translated)" if lang != "en" else "" + console.print( + f"[dim][DRY RUN][/dim] Would update {cl_path.relative_to(cwd)}{translated}" + ) + if not is_prerelease: + console.print( + f"[dim][DRY RUN][/dim] Would add v{version} to docs version switcher" + ) + else: + console.print("[dim][DRY RUN][/dim] Skipping docs version (pre-release)") + console.print( + f"[dim][DRY RUN][/dim] Would create branch docs/changelog-v{version}, PR, and wait for merge" + ) + return None + + +def _create_tag_and_release( + tag_name: str, + release_notes: str, + is_prerelease: bool, +) -> None: + """Create git tag, push it, and create a GitHub release.""" + with console.status(f"[cyan]Creating tag {tag_name}..."): + try: + run_command(["git", "tag", "-a", tag_name, "-m", release_notes]) + except subprocess.CalledProcessError as e: + console.print(f"[red]✗[/red] Created tag {tag_name}: {e}") + sys.exit(1) + console.print(f"[green]✓[/green] Created tag {tag_name}") + + with console.status(f"[cyan]Pushing tag {tag_name}..."): + try: + run_command(["git", "push", "origin", tag_name]) + except subprocess.CalledProcessError as e: + console.print(f"[red]✗[/red] Pushed tag {tag_name}: {e}") + sys.exit(1) + console.print(f"[green]✓[/green] Pushed tag {tag_name}") + + with console.status("[cyan]Creating GitHub Release..."): + try: + gh_cmd = [ + "gh", + "release", + "create", + tag_name, + "--title", + tag_name, + "--notes", + release_notes, + ] + if is_prerelease: + gh_cmd.append("--prerelease") + + run_command(gh_cmd) + except subprocess.CalledProcessError as e: + console.print(f"[red]✗[/red] Created GitHub Release: {e}") + sys.exit(1) + + release_type = "prerelease" if is_prerelease else "release" + console.print(f"[green]✓[/green] Created GitHub {release_type} for {tag_name}") + + +def _trigger_pypi_publish(tag_name: str) -> None: + """Trigger the PyPI publish GitHub Actions workflow.""" + with console.status("[cyan]Triggering PyPI publish workflow..."): + try: + run_command( + [ + "gh", + "workflow", + "run", + "publish.yml", + "-f", + f"release_tag={tag_name}", + ] + ) + except subprocess.CalledProcessError as e: + console.print(f"[red]✗[/red] Triggered PyPI publish workflow: {e}") + sys.exit(1) + console.print("[green]✓[/green] Triggered PyPI publish workflow") + + +# --------------------------------------------------------------------------- +# CLI commands +# --------------------------------------------------------------------------- + + @click.group() def cli() -> None: """Development tools for version bumping and git automation.""" @@ -578,7 +981,6 @@ def bump(version: str, dry_run: bool, no_push: bool, no_commit: bool) -> None: no_commit: Don't commit changes (just update files). """ try: - # Check prerequisites check_gh_installed() cwd = Path.cwd() @@ -598,66 +1000,7 @@ def bump(version: str, dry_run: bool, no_push: bool, no_commit: bool) -> None: console.print(f" - {pkg.name}") console.print(f"\nUpdating version to {version}...") - updated_files = [] - - for pkg in packages: - version_files = find_version_files(pkg) - for vfile in version_files: - if dry_run: - console.print( - f"[dim][DRY RUN][/dim] Would update: {vfile.relative_to(cwd)}" - ) - else: - if update_version_in_file(vfile, version): - console.print( - f"[green]✓[/green] Updated: {vfile.relative_to(cwd)}" - ) - updated_files.append(vfile) - else: - console.print( - f"[red]✗[/red] Failed to update: {vfile.relative_to(cwd)}" - ) - - pyproject = pkg / "pyproject.toml" - if pyproject.exists(): - if dry_run: - console.print( - f"[dim][DRY RUN][/dim] Would update dependencies in: {pyproject.relative_to(cwd)}" - ) - else: - if update_pyproject_dependencies(pyproject, version): - console.print( - f"[green]✓[/green] Updated dependencies in: {pyproject.relative_to(cwd)}" - ) - updated_files.append(pyproject) - - if not updated_files and not dry_run: - console.print( - "[yellow]Warning:[/yellow] No __version__ attributes found to update" - ) - - # Update CLI template pyproject.toml files - templates_dir = lib_dir / "crewai" / "src" / "crewai" / "cli" / "templates" - if templates_dir.exists(): - if dry_run: - for tpl in templates_dir.rglob("pyproject.toml"): - console.print( - f"[dim][DRY RUN][/dim] Would update template: {tpl.relative_to(cwd)}" - ) - else: - tpl_updated = update_template_dependencies(templates_dir, version) - for tpl in tpl_updated: - console.print( - f"[green]✓[/green] Updated template: {tpl.relative_to(cwd)}" - ) - updated_files.append(tpl) - - if not dry_run: - console.print("\nSyncing workspace...") - run_command(["uv", "sync"]) - console.print("[green]✓[/green] Workspace synced") - else: - console.print("[dim][DRY RUN][/dim] Would run: uv sync") + _update_all_versions(cwd, lib_dir, version, packages, dry_run) if no_commit: console.print("\nSkipping git operations (--no-commit flag set)") @@ -795,290 +1138,21 @@ def tag(dry_run: bool, no_edit: bool) -> None: sys.exit(1) console.print("[green]✓[/green] main branch up to date") - release_notes = f"Release {version}" - commits = "" - - with console.status("[cyan]Generating release notes..."): - try: - prev_bump_commit = run_command( - [ - "git", - "log", - "--grep=^feat: bump versions to", - "--format=%H", - "-n", - "2", - ] - ) - commits_list = prev_bump_commit.strip().split("\n") - - if len(commits_list) > 1: - prev_commit = commits_list[1] - commit_range = f"{prev_commit}..HEAD" - commits = run_command( - ["git", "log", commit_range, "--pretty=format:%s"] - ) - - commit_lines = [ - line - for line in commits.split("\n") - if not line.startswith("feat: bump versions to") - ] - commits = "\n".join(commit_lines) - else: - commit_range, commits = get_commits_from_last_tag(tag_name, version) - - except subprocess.CalledProcessError: - commit_range, commits = get_commits_from_last_tag(tag_name, version) - - github_contributors = get_github_contributors(commit_range) - - openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) - - if commits.strip(): - contributors_section = "" - if github_contributors: - contributors_section = f"\n\n## Contributors\n\n{', '.join([f'@{u}' for u in github_contributors])}" - - prompt = RELEASE_NOTES_PROMPT.substitute( - version=version, - commits=commits, - contributors_section=contributors_section, - ) - - response = openai_client.chat.completions.create( - model="gpt-4o-mini", - messages=[ - { - "role": "system", - "content": "You are a helpful assistant that generates clear, concise release notes.", - }, - {"role": "user", "content": prompt}, - ], - temperature=0.7, - ) - - release_notes = ( - response.choices[0].message.content or f"Release {version}" - ) - - console.print("[green]✓[/green] Generated release notes") - - if commits.strip(): - try: - console.print() - md = Markdown(release_notes, justify="left") - console.print( - Panel( - md, - title="[bold cyan]Generated Release Notes[/bold cyan]", - border_style="cyan", - padding=(1, 2), - ) - ) - except Exception as e: - console.print( - f"[yellow]Warning:[/yellow] Could not generate release notes with OpenAI: {e}" - ) - console.print("Using default release notes") - - if not no_edit: - if Confirm.ask( - "\n[bold]Would you like to edit the release notes?[/bold]", default=True - ): - edited_notes = click.edit(release_notes) - if edited_notes is not None: - release_notes = edited_notes.strip() - console.print("\n[green]✓[/green] Release notes updated") - else: - console.print("\n[green]✓[/green] Using original release notes") - else: - console.print( - "\n[green]✓[/green] Using generated release notes without editing" - ) - else: - console.print( - "\n[green]✓[/green] Using generated release notes without editing" - ) - - is_prerelease = any( - indicator in version.lower() - for indicator in ["a", "b", "rc", "alpha", "beta", "dev"] + release_notes, openai_client, is_prerelease = _generate_release_notes( + version, tag_name, no_edit ) - # Update docs: changelogs + version switcher - docs_json_path = cwd / "docs" / "docs.json" - changelog_langs = ["en", "pt-BR", "ko"] - if not dry_run: - docs_files_staged = [] - - for lang in changelog_langs: - cl_path = cwd / "docs" / lang / "changelog.mdx" - if lang == "en": - notes_for_lang = release_notes - else: - console.print(f"[dim]Translating release notes to {lang}...[/dim]") - notes_for_lang = translate_release_notes( - release_notes, lang, openai_client - ) - if update_changelog(cl_path, version, notes_for_lang, lang=lang): - console.print( - f"[green]✓[/green] Updated {cl_path.relative_to(cwd)}" - ) - docs_files_staged.append(str(cl_path)) - else: - console.print( - f"[yellow]Warning:[/yellow] Changelog not found at {cl_path.relative_to(cwd)}" - ) - - if not is_prerelease: - if add_docs_version(docs_json_path, version): - console.print( - f"[green]✓[/green] Added v{version} to docs version switcher" - ) - docs_files_staged.append(str(docs_json_path)) - else: - console.print( - f"[yellow]Warning:[/yellow] docs.json not found at {docs_json_path.relative_to(cwd)}" - ) - - if docs_files_staged: - docs_branch = f"docs/changelog-v{version}" - run_command(["git", "checkout", "-b", docs_branch]) - for f in docs_files_staged: - run_command(["git", "add", f]) - run_command( - [ - "git", - "commit", - "-m", - f"docs: update changelog and version for v{version}", - ] - ) - console.print("[green]✓[/green] Committed docs updates") - - run_command(["git", "push", "-u", "origin", docs_branch]) - console.print(f"[green]✓[/green] Pushed branch {docs_branch}") - - run_command( - [ - "gh", - "pr", - "create", - "--base", - "main", - "--title", - f"docs: update changelog and version for v{version}", - "--body", - "", - ] - ) - console.print("[green]✓[/green] Created docs PR") - - run_command( - [ - "gh", - "pr", - "merge", - docs_branch, - "--squash", - "--auto", - "--delete-branch", - ] - ) - console.print("[green]✓[/green] Enabled auto-merge on docs PR") - - import time - - console.print("[cyan]Waiting for PR checks to pass and merge...[/cyan]") - while True: - time.sleep(10) - try: - state = run_command( - [ - "gh", - "pr", - "view", - docs_branch, - "--json", - "state", - "--jq", - ".state", - ] - ) - except subprocess.CalledProcessError: - state = "" - - if state == "MERGED": - break - - console.print("[dim]Still waiting for PR to merge...[/dim]") - - console.print("[green]✓[/green] Docs PR merged") - - run_command(["git", "checkout", "main"]) - run_command(["git", "pull"]) - console.print("[green]✓[/green] main branch updated with docs changes") - else: - for lang in changelog_langs: - cl_path = cwd / "docs" / lang / "changelog.mdx" - translated = " (translated)" if lang != "en" else "" - console.print( - f"[dim][DRY RUN][/dim] Would update {cl_path.relative_to(cwd)}{translated}" - ) - if not is_prerelease: - console.print( - f"[dim][DRY RUN][/dim] Would add v{version} to docs version switcher" - ) - else: - console.print( - "[dim][DRY RUN][/dim] Skipping docs version (pre-release)" - ) - console.print( - f"[dim][DRY RUN][/dim] Would create branch docs/changelog-v{version}, PR, and merge" - ) + docs_branch = _update_docs_and_create_pr( + cwd, version, release_notes, openai_client, is_prerelease, dry_run + ) + if docs_branch: + _poll_pr_until_merged(docs_branch, "docs PR") + run_command(["git", "checkout", "main"]) + run_command(["git", "pull"]) + console.print("[green]✓[/green] main branch updated with docs changes") if not dry_run: - with console.status(f"[cyan]Creating tag {tag_name}..."): - try: - run_command(["git", "tag", "-a", tag_name, "-m", release_notes]) - except subprocess.CalledProcessError as e: - console.print(f"[red]✗[/red] Created tag {tag_name}: {e}") - sys.exit(1) - console.print(f"[green]✓[/green] Created tag {tag_name}") - - with console.status(f"[cyan]Pushing tag {tag_name}..."): - try: - run_command(["git", "push", "origin", tag_name]) - except subprocess.CalledProcessError as e: - console.print(f"[red]✗[/red] Pushed tag {tag_name}: {e}") - sys.exit(1) - console.print(f"[green]✓[/green] Pushed tag {tag_name}") - - with console.status("[cyan]Creating GitHub Release..."): - try: - gh_cmd = [ - "gh", - "release", - "create", - tag_name, - "--title", - tag_name, - "--notes", - release_notes, - ] - if is_prerelease: - gh_cmd.append("--prerelease") - - run_command(gh_cmd) - except subprocess.CalledProcessError as e: - console.print(f"[red]✗[/red] Created GitHub Release: {e}") - sys.exit(1) - - release_type = "prerelease" if is_prerelease else "release" - console.print( - f"[green]✓[/green] Created GitHub {release_type} for {tag_name}" - ) + _create_tag_and_release(tag_name, release_notes, is_prerelease) console.print( f"\n[green]✓[/green] Packages @ [bold]{version}[/bold] tagged successfully!" @@ -1094,8 +1168,140 @@ def tag(dry_run: bool, no_edit: bool) -> None: sys.exit(1) +@click.command() +@click.argument("version") +@click.option( + "--dry-run", is_flag=True, help="Show what would be done without making changes" +) +@click.option("--no-edit", is_flag=True, help="Skip editing release notes") +def release(version: str, dry_run: bool, no_edit: bool) -> None: + """Full release: bump versions, tag, and publish a GitHub release. + + Combines bump and tag into a single workflow. Creates a version bump PR, + waits for it to be merged, then generates release notes, updates docs, + creates the tag, and publishes a GitHub release. + + Args: + version: New version to set (e.g., 1.0.0, 1.0.0a1). + dry_run: Show what would be done without making changes. + no_edit: Skip editing release notes. + """ + try: + check_gh_installed() + + cwd = Path.cwd() + lib_dir = cwd / "lib" + + if not dry_run: + console.print("Checking git status...") + check_git_clean() + console.print("[green]✓[/green] Working directory is clean") + else: + console.print("[dim][DRY RUN][/dim] Would check git status") + + packages = get_packages(lib_dir) + + console.print(f"\nFound {len(packages)} package(s) to update:") + for pkg in packages: + console.print(f" - {pkg.name}") + + # --- Phase 1: Bump versions --- + console.print( + f"\n[bold cyan]Phase 1: Bumping versions to {version}[/bold cyan]" + ) + + _update_all_versions(cwd, lib_dir, version, packages, dry_run) + + branch_name = f"feat/bump-version-{version}" + if not dry_run: + console.print(f"\nCreating branch {branch_name}...") + run_command(["git", "checkout", "-b", branch_name]) + console.print("[green]✓[/green] Branch created") + + console.print("\nCommitting changes...") + run_command(["git", "add", "."]) + run_command(["git", "commit", "-m", f"feat: bump versions to {version}"]) + console.print("[green]✓[/green] Changes committed") + + console.print("\nPushing branch...") + run_command(["git", "push", "-u", "origin", branch_name]) + console.print("[green]✓[/green] Branch pushed") + + console.print("\nCreating pull request...") + bump_pr_url = run_command( + [ + "gh", + "pr", + "create", + "--base", + "main", + "--title", + f"feat: bump versions to {version}", + "--body", + "", + ] + ) + console.print("[green]✓[/green] Pull request created") + console.print(f"[cyan]PR URL:[/cyan] {bump_pr_url}") + + _poll_pr_until_merged(branch_name, "bump PR") + else: + console.print(f"[dim][DRY RUN][/dim] Would create branch: {branch_name}") + console.print( + f"[dim][DRY RUN][/dim] Would commit: feat: bump versions to {version}" + ) + console.print( + "[dim][DRY RUN][/dim] Would push branch, create PR, and wait for merge" + ) + + # --- Phase 2: Tag and release --- + console.print( + f"\n[bold cyan]Phase 2: Tagging and releasing {version}[/bold cyan]" + ) + + tag_name = version + + if not dry_run: + with console.status("[cyan]Checking out main branch..."): + run_command(["git", "checkout", "main"]) + console.print("[green]✓[/green] On main branch") + + with console.status("[cyan]Pulling latest changes..."): + run_command(["git", "pull"]) + console.print("[green]✓[/green] main branch up to date") + + release_notes, openai_client, is_prerelease = _generate_release_notes( + version, tag_name, no_edit + ) + + docs_branch = _update_docs_and_create_pr( + cwd, version, release_notes, openai_client, is_prerelease, dry_run + ) + if docs_branch: + _poll_pr_until_merged(docs_branch, "docs PR") + run_command(["git", "checkout", "main"]) + run_command(["git", "pull"]) + console.print("[green]✓[/green] main branch updated with docs changes") + + if not dry_run: + _create_tag_and_release(tag_name, release_notes, is_prerelease) + _trigger_pypi_publish(tag_name) + + console.print(f"\n[green]✓[/green] Release [bold]{version}[/bold] complete!") + + except subprocess.CalledProcessError as e: + console.print(f"[red]Error running command:[/red] {e}") + if e.stderr: + console.print(e.stderr) + sys.exit(1) + except Exception as e: + console.print(f"[red]Error:[/red] {e}") + sys.exit(1) + + cli.add_command(bump) cli.add_command(tag) +cli.add_command(release) def main() -> None: From 3413f2e6718cfa1765bc3667e9ff28cf5863216b Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Fri, 13 Mar 2026 16:53:48 -0400 Subject: [PATCH 06/15] feat: bump versions to 1.10.2rc1 --- lib/crewai-files/src/crewai_files/__init__.py | 2 +- lib/crewai-tools/pyproject.toml | 2 +- lib/crewai-tools/src/crewai_tools/__init__.py | 2 +- lib/crewai/pyproject.toml | 2 +- lib/crewai/src/crewai/__init__.py | 2 +- lib/crewai/src/crewai/cli/templates/crew/pyproject.toml | 2 +- lib/crewai/src/crewai/cli/templates/flow/pyproject.toml | 2 +- lib/crewai/src/crewai/cli/templates/tool/pyproject.toml | 2 +- lib/devtools/src/crewai_devtools/__init__.py | 2 +- 9 files changed, 9 insertions(+), 9 deletions(-) diff --git a/lib/crewai-files/src/crewai_files/__init__.py b/lib/crewai-files/src/crewai_files/__init__.py index b7fb93452..f58bb9f51 100644 --- a/lib/crewai-files/src/crewai_files/__init__.py +++ b/lib/crewai-files/src/crewai_files/__init__.py @@ -152,4 +152,4 @@ __all__ = [ "wrap_file_source", ] -__version__ = "1.10.2a1" +__version__ = "1.10.2rc1" diff --git a/lib/crewai-tools/pyproject.toml b/lib/crewai-tools/pyproject.toml index eecf196cc..77e666d2f 100644 --- a/lib/crewai-tools/pyproject.toml +++ b/lib/crewai-tools/pyproject.toml @@ -11,7 +11,7 @@ dependencies = [ "pytube~=15.0.0", "requests~=2.32.5", "docker~=7.1.0", - "crewai==1.10.2a1", + "crewai==1.10.2rc1", "tiktoken~=0.8.0", "beautifulsoup4~=4.13.4", "python-docx~=1.2.0", diff --git a/lib/crewai-tools/src/crewai_tools/__init__.py b/lib/crewai-tools/src/crewai_tools/__init__.py index ec3fc64b5..a1cfb1347 100644 --- a/lib/crewai-tools/src/crewai_tools/__init__.py +++ b/lib/crewai-tools/src/crewai_tools/__init__.py @@ -309,4 +309,4 @@ __all__ = [ "ZapierActionTools", ] -__version__ = "1.10.2a1" +__version__ = "1.10.2rc1" diff --git a/lib/crewai/pyproject.toml b/lib/crewai/pyproject.toml index d9e7309fa..ceeaba3a4 100644 --- a/lib/crewai/pyproject.toml +++ b/lib/crewai/pyproject.toml @@ -53,7 +53,7 @@ Repository = "https://github.com/crewAIInc/crewAI" [project.optional-dependencies] tools = [ - "crewai-tools==1.10.2a1", + "crewai-tools==1.10.2rc1", ] embeddings = [ "tiktoken~=0.8.0" diff --git a/lib/crewai/src/crewai/__init__.py b/lib/crewai/src/crewai/__init__.py index 0dea1ff1e..6e9973b94 100644 --- a/lib/crewai/src/crewai/__init__.py +++ b/lib/crewai/src/crewai/__init__.py @@ -41,7 +41,7 @@ def _suppress_pydantic_deprecation_warnings() -> None: _suppress_pydantic_deprecation_warnings() -__version__ = "1.10.2a1" +__version__ = "1.10.2rc1" _telemetry_submitted = False diff --git a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml index 29d05e29c..d0eb5265f 100644 --- a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2a1" + "crewai[tools]==1.10.2rc1" ] [project.scripts] diff --git a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml index d13fec343..812754039 100644 --- a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2a1" + "crewai[tools]==1.10.2rc1" ] [project.scripts] diff --git a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml index 060a1cdf3..9e52c91d5 100644 --- a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml @@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}" readme = "README.md" requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2a1" + "crewai[tools]==1.10.2rc1" ] [tool.crewai] diff --git a/lib/devtools/src/crewai_devtools/__init__.py b/lib/devtools/src/crewai_devtools/__init__.py index cfec2977c..aaf9f16d8 100644 --- a/lib/devtools/src/crewai_devtools/__init__.py +++ b/lib/devtools/src/crewai_devtools/__init__.py @@ -1,3 +1,3 @@ """CrewAI development tools.""" -__version__ = "1.10.2a1" +__version__ = "1.10.2rc1" From 88fd859c260819dc970fdc35faa5a0d31ddbb527 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Fri, 13 Mar 2026 17:07:31 -0400 Subject: [PATCH 07/15] docs: update changelog and version for v1.10.2rc1 --- docs/en/changelog.mdx | 24 ++++++++++++++++++++++++ docs/ko/changelog.mdx | 24 ++++++++++++++++++++++++ docs/pt-BR/changelog.mdx | 24 ++++++++++++++++++++++++ 3 files changed, 72 insertions(+) diff --git a/docs/en/changelog.mdx b/docs/en/changelog.mdx index 2668b29d9..6412f96f1 100644 --- a/docs/en/changelog.mdx +++ b/docs/en/changelog.mdx @@ -4,6 +4,30 @@ description: "Product updates, improvements, and bug fixes for CrewAI" icon: "clock" mode: "wide" --- + + ## v1.10.2rc1 + + [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.2rc1) + + ## What's Changed + + ### Features + - Add release command and trigger PyPI publish + + ### Bug Fixes + - Fix cross-process and thread-safe locking to unprotected I/O + - Propagate contextvars across all thread and executor boundaries + - Propagate ContextVars into async task threads + + ### Documentation + - Update changelog and version for v1.10.2a1 + + ## Contributors + + @danglies007, @greysonlalonde + + + ## v1.10.2a1 diff --git a/docs/ko/changelog.mdx b/docs/ko/changelog.mdx index bfdc40373..097204653 100644 --- a/docs/ko/changelog.mdx +++ b/docs/ko/changelog.mdx @@ -4,6 +4,30 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정" icon: "clock" mode: "wide" --- + + ## v1.10.2rc1 + + [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.10.2rc1) + + ## 변경 사항 + + ### 기능 + - 릴리스 명령 추가 및 PyPI 게시 트리거 + + ### 버그 수정 + - 보호되지 않은 I/O에 대한 프로세스 간 및 스레드 안전 잠금 수정 + - 모든 스레드 및 실행기 경계를 넘는 contextvars 전파 + - async 작업 스레드로 ContextVars 전파 + + ### 문서 + - v1.10.2a1에 대한 변경 로그 및 버전 업데이트 + + ## 기여자 + + @danglies007, @greysonlalonde + + + ## v1.10.2a1 diff --git a/docs/pt-BR/changelog.mdx b/docs/pt-BR/changelog.mdx index 18226bfa4..c1e28e267 100644 --- a/docs/pt-BR/changelog.mdx +++ b/docs/pt-BR/changelog.mdx @@ -4,6 +4,30 @@ description: "Atualizações de produto, melhorias e correções do CrewAI" icon: "clock" mode: "wide" --- + + ## v1.10.2rc1 + + [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.2rc1) + + ## O que Mudou + + ### Funcionalidades + - Adicionar comando de lançamento e acionar publicação no PyPI + + ### Correções de Bugs + - Corrigir bloqueio seguro entre processos e threads para I/O não protegido + - Propagar contextvars através de todos os limites de thread e executor + - Propagar ContextVars para threads de tarefas assíncronas + + ### Documentação + - Atualizar changelog e versão para v1.10.2a1 + + ## Contribuidores + + @danglies007, @greysonlalonde + + + ## v1.10.2a1 From b8d794267512d6b665a58dc5c5480bdc37762ef2 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Sat, 14 Mar 2026 00:21:14 -0400 Subject: [PATCH 08/15] fix: remove exclusive locks from read-only storage operations * fix: remove exclusive locks from read-only storage operations to eliminate lock contention read operations like search, list_scopes, get_scope_info, count across LanceDB, ChromaDB, and RAG adapters were holding exclusive locks unnecessarily. under multi-process prefork workers this caused RedisLock contention triggering a portalocker bug where AlreadyLocked is raised with the exceptions module as its arg. - remove store_lock from 7 LanceDB read methods since MVCC handles concurrent reads - remove store_lock from ChromaDB search/asearch which are thread-safe since v0.4 - remove store_lock from RAG core query and LanceDB adapter query - wrap lock_store BaseLockException with actionable error message - add exception handling in encoding_flow/recall_flow ThreadPoolExecutor calls - fix flow.py double-logging of ancestor listener errors * fix: remove dead conditional in filter_and_chunk fallback both branches of the if/else and the except all produced the same candidates = [scope_prefix] result, making the get_scope_info call and conditional pointless * fix: separate lock acquisition from caller body in lock_store the try/except wrapped the yield inside the contextmanager, which meant any BaseLockException raised by the caller's code inside the with block would be caught and re-raised with a misleading "Failed to acquire lock" message. split into acquire-then-yield so only actual acquisition failures get the actionable error message. --- .../crewai_tools/adapters/lancedb_adapter.py | 13 ++- lib/crewai-tools/src/crewai_tools/rag/core.py | 13 ++- lib/crewai/src/crewai/flow/flow.py | 4 +- lib/crewai/src/crewai/memory/encoding_flow.py | 23 ++++- lib/crewai/src/crewai/memory/recall_flow.py | 38 ++++++-- .../crewai/memory/storage/lancedb_storage.py | 51 +++++------ lib/crewai/src/crewai/rag/chromadb/client.py | 86 +++++++++---------- lib/crewai/src/crewai/utilities/lock_store.py | 17 +++- 8 files changed, 145 insertions(+), 100 deletions(-) diff --git a/lib/crewai-tools/src/crewai_tools/adapters/lancedb_adapter.py b/lib/crewai-tools/src/crewai_tools/adapters/lancedb_adapter.py index 0e92ac85a..af5d3a786 100644 --- a/lib/crewai-tools/src/crewai_tools/adapters/lancedb_adapter.py +++ b/lib/crewai-tools/src/crewai_tools/adapters/lancedb_adapter.py @@ -46,13 +46,12 @@ class LanceDBAdapter(Adapter): def query(self, question: str) -> str: # type: ignore[override] query = self.embedding_function([question])[0] - with store_lock(self._lock_name): - results = ( - self._table.search(query, vector_column_name=self.vector_column_name) - .limit(self.top_k) - .select([self.text_column_name]) - .to_list() - ) + results = ( + self._table.search(query, vector_column_name=self.vector_column_name) + .limit(self.top_k) + .select([self.text_column_name]) + .to_list() + ) values = [result[self.text_column_name] for result in results] return "\n".join(values) diff --git a/lib/crewai-tools/src/crewai_tools/rag/core.py b/lib/crewai-tools/src/crewai_tools/rag/core.py index d8bc51e15..b418cc92f 100644 --- a/lib/crewai-tools/src/crewai_tools/rag/core.py +++ b/lib/crewai-tools/src/crewai_tools/rag/core.py @@ -173,13 +173,12 @@ class RAG(Adapter): try: question_embedding = self._embedding_service.embed_text(question) - with store_lock(self._lock_name): - results = self._collection.query( - query_embeddings=[question_embedding], - n_results=self.top_k, - where=where, - include=["documents", "metadatas", "distances"], - ) + results = self._collection.query( + query_embeddings=[question_embedding], + n_results=self.top_k, + where=where, + include=["documents", "metadatas", "distances"], + ) if ( not results diff --git a/lib/crewai/src/crewai/flow/flow.py b/lib/crewai/src/crewai/flow/flow.py index bd24d610e..674f551eb 100644 --- a/lib/crewai/src/crewai/flow/flow.py +++ b/lib/crewai/src/crewai/flow/flow.py @@ -2716,7 +2716,9 @@ class Flow(Generic[T], metaclass=FlowMeta): from crewai.flow.async_feedback.types import HumanFeedbackPending if not isinstance(e, HumanFeedbackPending): - logger.error(f"Error executing listener {listener_name}: {e}") + if not getattr(e, "_flow_listener_logged", False): + logger.error(f"Error executing listener {listener_name}: {e}") + e._flow_listener_logged = True # type: ignore[attr-defined] raise # ── User Input (self.ask) ──────────────────────────────────────── diff --git a/lib/crewai/src/crewai/memory/encoding_flow.py b/lib/crewai/src/crewai/memory/encoding_flow.py index 6387c45e6..cd1babb2d 100644 --- a/lib/crewai/src/crewai/memory/encoding_flow.py +++ b/lib/crewai/src/crewai/memory/encoding_flow.py @@ -13,6 +13,7 @@ from __future__ import annotations from concurrent.futures import Future, ThreadPoolExecutor import contextvars from datetime import datetime +import logging import math from typing import Any from uuid import uuid4 @@ -29,6 +30,8 @@ from crewai.memory.analyze import ( from crewai.memory.types import MemoryConfig, MemoryRecord, embed_texts +logger = logging.getLogger(__name__) + # --------------------------------------------------------------------------- # State models # --------------------------------------------------------------------------- @@ -188,7 +191,15 @@ class EncodingFlow(Flow[EncodingState]): if len(active) == 1: _, item = active[0] - raw = _search_one(item) + try: + raw = _search_one(item) + except Exception: + logger.warning( + "Storage search failed in parallel_find_similar, " + "treating item as new", + exc_info=True, + ) + raw = [] item.similar_records = [r for r, _ in raw] item.top_similarity = float(raw[0][1]) if raw else 0.0 else: @@ -202,7 +213,15 @@ class EncodingFlow(Flow[EncodingState]): for i, item in active ] for _, item, future in futures: - raw = future.result() + try: + raw = future.result() + except Exception: + logger.warning( + "Storage search failed in parallel_find_similar, " + "treating item as new", + exc_info=True, + ) + raw = [] item.similar_records = [r for r, _ in raw] item.top_similarity = float(raw[0][1]) if raw else 0.0 diff --git a/lib/crewai/src/crewai/memory/recall_flow.py b/lib/crewai/src/crewai/memory/recall_flow.py index e257d7f2c..f056c9a1d 100644 --- a/lib/crewai/src/crewai/memory/recall_flow.py +++ b/lib/crewai/src/crewai/memory/recall_flow.py @@ -13,6 +13,7 @@ from __future__ import annotations from concurrent.futures import ThreadPoolExecutor, as_completed import contextvars from datetime import datetime +import logging from typing import Any from uuid import uuid4 @@ -30,6 +31,9 @@ from crewai.memory.types import ( ) +logger = logging.getLogger(__name__) + + class RecallState(BaseModel): """State for the recall flow.""" @@ -125,7 +129,14 @@ class RecallFlow(Flow[RecallState]): if len(tasks) <= 1: for emb, sc in tasks: - scope, results = _search_one(emb, sc) + try: + scope, results = _search_one(emb, sc) + except Exception: + logger.warning( + "Storage search failed in recall flow, skipping scope", + exc_info=True, + ) + continue if results: top_composite, _ = compute_composite_score( results[0][0], results[0][1], self._config @@ -147,7 +158,14 @@ class RecallFlow(Flow[RecallState]): for emb, sc in tasks } for future in as_completed(futures): - scope, results = future.result() + try: + scope, results = future.result() + except Exception: + logger.warning( + "Storage search failed in recall flow, skipping scope", + exc_info=True, + ) + continue if results: top_composite, _ = compute_composite_score( results[0][0], results[0][1], self._config @@ -246,13 +264,17 @@ class RecallFlow(Flow[RecallState]): if analysis and analysis.suggested_scopes: candidates = [s for s in analysis.suggested_scopes if s] else: - candidates = self._storage.list_scopes(scope_prefix) + try: + candidates = self._storage.list_scopes(scope_prefix) + except Exception: + logger.warning( + "Storage list_scopes failed in filter_and_chunk, " + "falling back to scope prefix", + exc_info=True, + ) + candidates = [] if not candidates: - info = self._storage.get_scope_info(scope_prefix) - if info.record_count > 0: - candidates = [scope_prefix] - else: - candidates = [scope_prefix] + candidates = [scope_prefix] self.state.candidate_scopes = candidates[:20] return self.state.candidate_scopes diff --git a/lib/crewai/src/crewai/memory/storage/lancedb_storage.py b/lib/crewai/src/crewai/memory/storage/lancedb_storage.py index 014ac32fd..a7a2d3956 100644 --- a/lib/crewai/src/crewai/memory/storage/lancedb_storage.py +++ b/lib/crewai/src/crewai/memory/storage/lancedb_storage.py @@ -350,12 +350,11 @@ class LanceDBStorage: """Return a single record by ID, or None if not found.""" if self._table is None: return None - with store_lock(self._lock_name): - safe_id = str(record_id).replace("'", "''") - rows = self._table.search().where(f"id = '{safe_id}'").limit(1).to_list() - if not rows: - return None - return self._row_to_record(rows[0]) + safe_id = str(record_id).replace("'", "''") + rows = self._table.search().where(f"id = '{safe_id}'").limit(1).to_list() + if not rows: + return None + return self._row_to_record(rows[0]) def search( self, @@ -368,15 +367,14 @@ class LanceDBStorage: ) -> list[tuple[MemoryRecord, float]]: if self._table is None: return [] - with store_lock(self._lock_name): - query = self._table.search(query_embedding) - if scope_prefix is not None and scope_prefix.strip("/"): - prefix = scope_prefix.rstrip("/") - like_val = prefix + "%" - query = query.where(f"scope LIKE '{like_val}'") - results = query.limit( - limit * 3 if (categories or metadata_filter) else limit - ).to_list() + query = self._table.search(query_embedding) + if scope_prefix is not None and scope_prefix.strip("/"): + prefix = scope_prefix.rstrip("/") + like_val = prefix + "%" + query = query.where(f"scope LIKE '{like_val}'") + results = query.limit( + limit * 3 if (categories or metadata_filter) else limit + ).to_list() out: list[tuple[MemoryRecord, float]] = [] for row in results: record = self._row_to_record(row) @@ -460,8 +458,6 @@ class LanceDBStorage: Uses a full table scan (no vector query) so the limit is applied after the scope filter, not to ANN candidates before filtering. - Caller must hold ``store_lock(self._lock_name)``. - Args: scope_prefix: Optional scope path prefix to filter by. limit: Maximum number of rows to return (applied after filtering). @@ -492,8 +488,7 @@ class LanceDBStorage: Returns: List of MemoryRecord, ordered by created_at descending. """ - with store_lock(self._lock_name): - rows = self._scan_rows(scope_prefix, limit=limit + offset) + rows = self._scan_rows(scope_prefix, limit=limit + offset) records = [self._row_to_record(r) for r in rows] records.sort(key=lambda r: r.created_at, reverse=True) return records[offset : offset + limit] @@ -503,11 +498,10 @@ class LanceDBStorage: prefix = scope if scope != "/" else "" if prefix and not prefix.startswith("/"): prefix = "/" + prefix - with store_lock(self._lock_name): - rows = self._scan_rows( - prefix or None, - columns=["scope", "categories_str", "created_at"], - ) + rows = self._scan_rows( + prefix or None, + columns=["scope", "categories_str", "created_at"], + ) if not rows: return ScopeInfo( path=scope or "/", @@ -558,8 +552,7 @@ class LanceDBStorage: def list_scopes(self, parent: str = "/") -> list[str]: parent = parent.rstrip("/") or "" prefix = (parent + "/") if parent else "/" - with store_lock(self._lock_name): - rows = self._scan_rows(prefix if prefix != "/" else None, columns=["scope"]) + rows = self._scan_rows(prefix if prefix != "/" else None, columns=["scope"]) children: set[str] = set() for row in rows: sc = str(row.get("scope", "")) @@ -571,8 +564,7 @@ class LanceDBStorage: return sorted(children) def list_categories(self, scope_prefix: str | None = None) -> dict[str, int]: - with store_lock(self._lock_name): - rows = self._scan_rows(scope_prefix, columns=["categories_str"]) + rows = self._scan_rows(scope_prefix, columns=["categories_str"]) counts: dict[str, int] = {} for row in rows: cat_str = row.get("categories_str") or "[]" @@ -588,8 +580,7 @@ class LanceDBStorage: if self._table is None: return 0 if scope_prefix is None or scope_prefix.strip("/") == "": - with store_lock(self._lock_name): - return int(self._table.count_rows()) + return int(self._table.count_rows()) info = self.get_scope_info(scope_prefix) return info.record_count diff --git a/lib/crewai/src/crewai/rag/chromadb/client.py b/lib/crewai/src/crewai/rag/chromadb/client.py index b95a37385..153230b8b 100644 --- a/lib/crewai/src/crewai/rag/chromadb/client.py +++ b/lib/crewai/src/crewai/rag/chromadb/client.py @@ -446,30 +446,29 @@ class ChromaDBClient(BaseClient): params = _extract_search_params(kwargs) - with self._locked(): - collection = self.client.get_or_create_collection( - name=_sanitize_collection_name(params.collection_name), - embedding_function=self.embedding_function, + collection = self.client.get_or_create_collection( + name=_sanitize_collection_name(params.collection_name), + embedding_function=self.embedding_function, + ) + + where = params.where if params.where is not None else params.metadata_filter + + with suppress_logging( + "chromadb.segment.impl.vector.local_persistent_hnsw", logging.ERROR + ): + results: QueryResult = collection.query( + query_texts=[params.query], + n_results=params.limit, + where=where, + where_document=params.where_document, + include=params.include, ) - where = params.where if params.where is not None else params.metadata_filter - - with suppress_logging( - "chromadb.segment.impl.vector.local_persistent_hnsw", logging.ERROR - ): - results: QueryResult = collection.query( - query_texts=[params.query], - n_results=params.limit, - where=where, - where_document=params.where_document, - include=params.include, - ) - - return _process_query_results( - collection=collection, - results=results, - params=params, - ) + return _process_query_results( + collection=collection, + results=results, + params=params, + ) async def asearch( self, **kwargs: Unpack[ChromaDBCollectionSearchParams] @@ -510,30 +509,29 @@ class ChromaDBClient(BaseClient): params = _extract_search_params(kwargs) - async with self._alocked(): - collection = await self.client.get_or_create_collection( - name=_sanitize_collection_name(params.collection_name), - embedding_function=self.embedding_function, + collection = await self.client.get_or_create_collection( + name=_sanitize_collection_name(params.collection_name), + embedding_function=self.embedding_function, + ) + + where = params.where if params.where is not None else params.metadata_filter + + with suppress_logging( + "chromadb.segment.impl.vector.local_persistent_hnsw", logging.ERROR + ): + results: QueryResult = await collection.query( + query_texts=[params.query], + n_results=params.limit, + where=where, + where_document=params.where_document, + include=params.include, ) - where = params.where if params.where is not None else params.metadata_filter - - with suppress_logging( - "chromadb.segment.impl.vector.local_persistent_hnsw", logging.ERROR - ): - results: QueryResult = await collection.query( - query_texts=[params.query], - n_results=params.limit, - where=where, - where_document=params.where_document, - include=params.include, - ) - - return _process_query_results( - collection=collection, - results=results, - params=params, - ) + return _process_query_results( + collection=collection, + results=results, + params=params, + ) def delete_collection(self, **kwargs: Unpack[BaseCollectionParams]) -> None: """Delete a collection and all its data. diff --git a/lib/crewai/src/crewai/utilities/lock_store.py b/lib/crewai/src/crewai/utilities/lock_store.py index 91b3d742a..b2ac4d81c 100644 --- a/lib/crewai/src/crewai/utilities/lock_store.py +++ b/lib/crewai/src/crewai/utilities/lock_store.py @@ -10,17 +10,21 @@ from collections.abc import Iterator from contextlib import contextmanager from functools import lru_cache from hashlib import md5 +import logging import os import tempfile from typing import TYPE_CHECKING, Final import portalocker +import portalocker.exceptions if TYPE_CHECKING: import redis +logger = logging.getLogger(__name__) + _REDIS_URL: str | None = os.environ.get("REDIS_URL") _DEFAULT_TIMEOUT: Final[int] = 120 @@ -57,5 +61,16 @@ def lock(name: str, *, timeout: float = _DEFAULT_TIMEOUT) -> Iterator[None]: else: lock_dir = tempfile.gettempdir() lock_path = os.path.join(lock_dir, f"{channel}.lock") - with portalocker.Lock(lock_path, timeout=timeout): + try: + pl = portalocker.Lock(lock_path, timeout=timeout) + pl.acquire() + except portalocker.exceptions.BaseLockException as exc: + raise portalocker.exceptions.LockException( + f"Failed to acquire lock '{name}' at {lock_path} " + f"(timeout={timeout}s). This commonly occurs in " + f"multi-process environments. " + ) from exc + try: yield + finally: + pl.release() # type: ignore[no-untyped-call] From 96b07bfc8436d080146351687fd53fb0c883649f Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Sat, 14 Mar 2026 00:34:12 -0400 Subject: [PATCH 09/15] feat: bump versions to 1.10.2rc2 --- lib/crewai-files/src/crewai_files/__init__.py | 2 +- lib/crewai-tools/pyproject.toml | 2 +- lib/crewai-tools/src/crewai_tools/__init__.py | 2 +- lib/crewai/pyproject.toml | 2 +- lib/crewai/src/crewai/__init__.py | 2 +- lib/crewai/src/crewai/cli/templates/crew/pyproject.toml | 2 +- lib/crewai/src/crewai/cli/templates/flow/pyproject.toml | 2 +- lib/crewai/src/crewai/cli/templates/tool/pyproject.toml | 2 +- lib/devtools/src/crewai_devtools/__init__.py | 2 +- 9 files changed, 9 insertions(+), 9 deletions(-) diff --git a/lib/crewai-files/src/crewai_files/__init__.py b/lib/crewai-files/src/crewai_files/__init__.py index f58bb9f51..7c3062e87 100644 --- a/lib/crewai-files/src/crewai_files/__init__.py +++ b/lib/crewai-files/src/crewai_files/__init__.py @@ -152,4 +152,4 @@ __all__ = [ "wrap_file_source", ] -__version__ = "1.10.2rc1" +__version__ = "1.10.2rc2" diff --git a/lib/crewai-tools/pyproject.toml b/lib/crewai-tools/pyproject.toml index 77e666d2f..7cc34a122 100644 --- a/lib/crewai-tools/pyproject.toml +++ b/lib/crewai-tools/pyproject.toml @@ -11,7 +11,7 @@ dependencies = [ "pytube~=15.0.0", "requests~=2.32.5", "docker~=7.1.0", - "crewai==1.10.2rc1", + "crewai==1.10.2rc2", "tiktoken~=0.8.0", "beautifulsoup4~=4.13.4", "python-docx~=1.2.0", diff --git a/lib/crewai-tools/src/crewai_tools/__init__.py b/lib/crewai-tools/src/crewai_tools/__init__.py index a1cfb1347..4ccdf2c9d 100644 --- a/lib/crewai-tools/src/crewai_tools/__init__.py +++ b/lib/crewai-tools/src/crewai_tools/__init__.py @@ -309,4 +309,4 @@ __all__ = [ "ZapierActionTools", ] -__version__ = "1.10.2rc1" +__version__ = "1.10.2rc2" diff --git a/lib/crewai/pyproject.toml b/lib/crewai/pyproject.toml index ceeaba3a4..fed3413ee 100644 --- a/lib/crewai/pyproject.toml +++ b/lib/crewai/pyproject.toml @@ -53,7 +53,7 @@ Repository = "https://github.com/crewAIInc/crewAI" [project.optional-dependencies] tools = [ - "crewai-tools==1.10.2rc1", + "crewai-tools==1.10.2rc2", ] embeddings = [ "tiktoken~=0.8.0" diff --git a/lib/crewai/src/crewai/__init__.py b/lib/crewai/src/crewai/__init__.py index 6e9973b94..b61b508fd 100644 --- a/lib/crewai/src/crewai/__init__.py +++ b/lib/crewai/src/crewai/__init__.py @@ -41,7 +41,7 @@ def _suppress_pydantic_deprecation_warnings() -> None: _suppress_pydantic_deprecation_warnings() -__version__ = "1.10.2rc1" +__version__ = "1.10.2rc2" _telemetry_submitted = False diff --git a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml index d0eb5265f..b90c8d3be 100644 --- a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2rc1" + "crewai[tools]==1.10.2rc2" ] [project.scripts] diff --git a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml index 812754039..51e951d3f 100644 --- a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2rc1" + "crewai[tools]==1.10.2rc2" ] [project.scripts] diff --git a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml index 9e52c91d5..d1824986c 100644 --- a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml @@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}" readme = "README.md" requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2rc1" + "crewai[tools]==1.10.2rc2" ] [tool.crewai] diff --git a/lib/devtools/src/crewai_devtools/__init__.py b/lib/devtools/src/crewai_devtools/__init__.py index aaf9f16d8..79a9cfefe 100644 --- a/lib/devtools/src/crewai_devtools/__init__.py +++ b/lib/devtools/src/crewai_devtools/__init__.py @@ -1,3 +1,3 @@ """CrewAI development tools.""" -__version__ = "1.10.2rc1" +__version__ = "1.10.2rc2" From e1d7de0dbadcadb3ac485565b35f1d89ce1c2cf7 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Sat, 14 Mar 2026 00:49:48 -0400 Subject: [PATCH 10/15] docs: update changelog and version for v1.10.2rc2 --- docs/en/changelog.mdx | 19 +++++++++++++++++++ docs/ko/changelog.mdx | 19 +++++++++++++++++++ docs/pt-BR/changelog.mdx | 19 +++++++++++++++++++ 3 files changed, 57 insertions(+) diff --git a/docs/en/changelog.mdx b/docs/en/changelog.mdx index 6412f96f1..c5334e7a4 100644 --- a/docs/en/changelog.mdx +++ b/docs/en/changelog.mdx @@ -4,6 +4,25 @@ description: "Product updates, improvements, and bug fixes for CrewAI" icon: "clock" mode: "wide" --- + + ## v1.10.2rc2 + + [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.2rc2) + + ## What's Changed + + ### Bug Fixes + - Remove exclusive locks from read-only storage operations + + ### Documentation + - Update changelog and version for v1.10.2rc1 + + ## Contributors + + @greysonlalonde + + + ## v1.10.2rc1 diff --git a/docs/ko/changelog.mdx b/docs/ko/changelog.mdx index 097204653..f977309a8 100644 --- a/docs/ko/changelog.mdx +++ b/docs/ko/changelog.mdx @@ -4,6 +4,25 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정" icon: "clock" mode: "wide" --- + + ## v1.10.2rc2 + + [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.10.2rc2) + + ## 변경 사항 + + ### 버그 수정 + - 읽기 전용 스토리지 작업에서 독점 잠금 제거 + + ### 문서 + - v1.10.2rc1에 대한 변경 로그 및 버전 업데이트 + + ## 기여자 + + @greysonlalonde + + + ## v1.10.2rc1 diff --git a/docs/pt-BR/changelog.mdx b/docs/pt-BR/changelog.mdx index c1e28e267..d43f0af84 100644 --- a/docs/pt-BR/changelog.mdx +++ b/docs/pt-BR/changelog.mdx @@ -4,6 +4,25 @@ description: "Atualizações de produto, melhorias e correções do CrewAI" icon: "clock" mode: "wide" --- + + ## v1.10.2rc2 + + [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.2rc2) + + ## O que Mudou + + ### Correções de Bugs + - Remover bloqueios exclusivos de operações de armazenamento somente leitura + + ### Documentação + - Atualizar changelog e versão para v1.10.2rc1 + + ## Contribuidores + + @greysonlalonde + + + ## v1.10.2rc1 From fb2323b3deb3ec62b3965526857e77a2264e4cd0 Mon Sep 17 00:00:00 2001 From: Rip&Tear <84775494+theCyberTech@users.noreply.github.com> Date: Sun, 15 Mar 2026 13:18:02 +0800 Subject: [PATCH 11/15] Code interpreter sandbox escape (#4791) * [SECURITY] Fix sandbox escape vulnerability in CodeInterpreterTool (F-001) This commit addresses a critical security vulnerability where the CodeInterpreterTool could be exploited via sandbox escape attacks when Docker was unavailable. Changes: - Remove insecure fallback to restricted sandbox in run_code_safety() - Now fails closed with RuntimeError when Docker is unavailable - Mark run_code_in_restricted_sandbox() as deprecated and insecure - Add clear security warnings to SandboxPython class documentation - Update tests to reflect secure-by-default behavior - Add test demonstrating the sandbox escape vulnerability - Update README with security requirements and best practices The previous implementation would fall back to a Python-based 'restricted sandbox' when Docker was unavailable. However, this sandbox could be easily bypassed using Python object introspection to recover the original __import__ function, allowing arbitrary module access and command execution on the host. The fix enforces Docker as a requirement for safe code execution. Users who cannot use Docker must explicitly enable unsafe_mode=True, acknowledging the security risks. Security Impact: - Prevents RCE via sandbox escape when Docker is unavailable - Enforces fail-closed security model - Maintains backward compatibility via unsafe_mode flag References: - https://docs.crewai.com/tools/ai-ml/codeinterpretertool Co-authored-by: Rip&Tear * Add security fix documentation for F-001 Co-authored-by: Rip&Tear * Add Slack summary for security fix Co-authored-by: Rip&Tear * Delete SECURITY_FIX_F001.md * Delete SLACK_SUMMARY.md * chore: regen cassettes * chore: regen more cassettes * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Cursor Agent Co-authored-by: Rip&Tear Co-authored-by: Greyson LaLonde Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --- .../tools/code_interpreter_tool/README.md | 60 +- .../code_interpreter_tool.py | 53 +- .../tests/tools/test_code_interpreter_tool.py | 98 +- ...on_tools_with_there_is_only_one_agent.yaml | 103 +- .../test_before_kickoff_callback.yaml | 14 +- .../test_crew_with_delegating_agents.yaml | 367 +- ...est_memory_remember_called_after_task.yaml | 2944 ++++++----------- .../test_task_tools_override_agent_tools.yaml | 252 +- .../test_using_memory_recall_and_save.yaml | 1976 ++++++++--- 9 files changed, 2811 insertions(+), 3056 deletions(-) diff --git a/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/README.md b/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/README.md index ab0cbf44b..278b71067 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/README.md +++ b/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/README.md @@ -1,13 +1,27 @@ # CodeInterpreterTool ## Description -This tool is used to give the Agent the ability to run code (Python3) from the code generated by the Agent itself. The code is executed in a sandboxed environment, so it is safe to run any code. +This tool is used to give the Agent the ability to run code (Python3) from the code generated by the Agent itself. The code is executed in a Docker container for secure isolation. -It is incredible useful since it allows the Agent to generate code, run it in the same environment, get the result and use it to make decisions. +It is incredibly useful since it allows the Agent to generate code, run it in an isolated environment, get the result and use it to make decisions. + +## ⚠️ Security Requirements + +**Docker is REQUIRED** for safe code execution. The tool will refuse to execute code without Docker to prevent security vulnerabilities. + +### Why Docker is Required + +Previous versions included a "restricted sandbox" fallback when Docker was unavailable. This has been **removed** due to critical security vulnerabilities: + +- The Python-based sandbox could be escaped via object introspection +- Attackers could recover the original `__import__` function and access any module +- This allowed arbitrary command execution on the host system + +**Docker provides real process isolation** and is the only secure way to execute untrusted code. ## Requirements -- Docker +- **Docker (REQUIRED)** - Install from [docker.com](https://docs.docker.com/get-docker/) ## Installation Install the crewai_tools package @@ -17,7 +31,9 @@ pip install 'crewai[tools]' ## Example -Remember that when using this tool, the code must be generated by the Agent itself. The code must be a Python3 code. And it will take some time for the first time to run because it needs to build the Docker image. +Remember that when using this tool, the code must be generated by the Agent itself. The code must be Python3 code. It will take some time the first time to run because it needs to build the Docker image. + +### Basic Usage (Docker Container - Recommended) ```python from crewai_tools import CodeInterpreterTool @@ -28,7 +44,9 @@ Agent( ) ``` -Or if you need to pass your own Dockerfile just do this +### Custom Dockerfile + +If you need to pass your own Dockerfile: ```python from crewai_tools import CodeInterpreterTool @@ -39,15 +57,39 @@ Agent( ) ``` -If it is difficult to connect to docker daemon automatically (especially for macOS users), you can do this to setup docker host manually +### Manual Docker Host Configuration + +If it is difficult to connect to the Docker daemon automatically (especially for macOS users), you can set up the Docker host manually: ```python from crewai_tools import CodeInterpreterTool Agent( ... - tools=[CodeInterpreterTool(user_docker_base_url="", - user_dockerfile_path="")], + tools=[CodeInterpreterTool( + user_docker_base_url="", + user_dockerfile_path="" + )], ) - ``` + +### Unsafe Mode (NOT RECOMMENDED) + +If you absolutely cannot use Docker and **fully trust the code source**, you can use unsafe mode: + +```python +from crewai_tools import CodeInterpreterTool + +# WARNING: Only use with fully trusted code! +Agent( + ... + tools=[CodeInterpreterTool(unsafe_mode=True)], +) +``` + +**⚠️ SECURITY WARNING:** `unsafe_mode=True` executes code directly on the host without any isolation. Only use this if: +- You completely trust the code being executed +- You understand the security risks +- You cannot install Docker in your environment + +For production use, **always use Docker** (the default mode). diff --git a/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/code_interpreter_tool.py b/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/code_interpreter_tool.py index c4a2093ee..351f30d6b 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/code_interpreter_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/code_interpreter_tool.py @@ -50,11 +50,16 @@ class CodeInterpreterSchema(BaseModel): class SandboxPython: - """A restricted Python execution environment for running code safely. + """INSECURE: A restricted Python execution environment with known vulnerabilities. - This class provides methods to safely execute Python code by restricting access to - potentially dangerous modules and built-in functions. It creates a sandboxed - environment where harmful operations are blocked. + WARNING: This class does NOT provide real security isolation and is vulnerable to + sandbox escape attacks via Python object introspection. Attackers can recover the + original __import__ function and bypass all restrictions. + + DO NOT USE for untrusted code execution. Use Docker containers instead. + + This class attempts to restrict access to dangerous modules and built-in functions + but provides no real security boundary against a motivated attacker. """ BLOCKED_MODULES: ClassVar[set[str]] = { @@ -299,8 +304,8 @@ class CodeInterpreterTool(BaseTool): def run_code_safety(self, code: str, libraries_used: list[str]) -> str: """Runs code in the safest available environment. - Attempts to run code in Docker if available, falls back to a restricted - sandbox if Docker is not available. + Requires Docker to be available for secure code execution. Fails closed + if Docker is not available to prevent sandbox escape vulnerabilities. Args: code: The Python code to execute as a string. @@ -308,10 +313,24 @@ class CodeInterpreterTool(BaseTool): Returns: The output of the executed code as a string. + + Raises: + RuntimeError: If Docker is not available, as the restricted sandbox + is vulnerable to escape attacks and should not be used + for untrusted code execution. """ if self._check_docker_available(): return self.run_code_in_docker(code, libraries_used) - return self.run_code_in_restricted_sandbox(code) + + error_msg = ( + "Docker is required for safe code execution but is not available. " + "The restricted sandbox fallback has been removed due to security vulnerabilities " + "that allow sandbox escape via Python object introspection. " + "Please install Docker (https://docs.docker.com/get-docker/) or use unsafe_mode=True " + "if you trust the code source and understand the security risks." + ) + Printer.print(error_msg, color="bold_red") + raise RuntimeError(error_msg) def run_code_in_docker(self, code: str, libraries_used: list[str]) -> str: """Runs Python code in a Docker container for safe isolation. @@ -342,10 +361,19 @@ class CodeInterpreterTool(BaseTool): @staticmethod def run_code_in_restricted_sandbox(code: str) -> str: - """Runs Python code in a restricted sandbox environment. + """DEPRECATED AND INSECURE: Runs Python code in a restricted sandbox environment. - Executes the code with restricted access to potentially dangerous modules and - built-in functions for basic safety when Docker is not available. + WARNING: This method is vulnerable to sandbox escape attacks via Python object + introspection and should NOT be used for untrusted code execution. It has been + deprecated and is only kept for backward compatibility with trusted code. + + The "restricted" environment can be bypassed by attackers who can: + - Use object graph introspection to recover the original __import__ function + - Access any Python module including os, subprocess, sys, etc. + - Execute arbitrary commands on the host system + + Use run_code_in_docker() for secure code execution, or run_code_unsafe() + if you explicitly acknowledge the security risks. Args: code: The Python code to execute as a string. @@ -354,7 +382,10 @@ class CodeInterpreterTool(BaseTool): The value of the 'result' variable from the executed code, or an error message if execution failed. """ - Printer.print("Running code in restricted sandbox", color="yellow") + Printer.print( + "WARNING: Running code in INSECURE restricted sandbox (vulnerable to escape attacks)", + color="bold_red" + ) exec_locals: dict[str, Any] = {} try: SandboxPython.exec(code=code, locals_=exec_locals) diff --git a/lib/crewai-tools/tests/tools/test_code_interpreter_tool.py b/lib/crewai-tools/tests/tools/test_code_interpreter_tool.py index ca1f21a23..ea54fb587 100644 --- a/lib/crewai-tools/tests/tools/test_code_interpreter_tool.py +++ b/lib/crewai-tools/tests/tools/test_code_interpreter_tool.py @@ -76,24 +76,22 @@ print("This is line 2")""" ) -def test_restricted_sandbox_basic_code_execution(printer_mock, docker_unavailable_mock): - """Test basic code execution.""" +def test_docker_unavailable_raises_error(printer_mock, docker_unavailable_mock): + """Test that execution fails when Docker is unavailable in safe mode.""" tool = CodeInterpreterTool() code = """ result = 2 + 2 print(result) """ - result = tool.run(code=code, libraries_used=[]) - printer_mock.assert_called_with( - "Running code in restricted sandbox", color="yellow" - ) - assert result == 4 + with pytest.raises(RuntimeError) as exc_info: + tool.run(code=code, libraries_used=[]) + + assert "Docker is required for safe code execution" in str(exc_info.value) + assert "sandbox escape" in str(exc_info.value) -def test_restricted_sandbox_running_with_blocked_modules( - printer_mock, docker_unavailable_mock -): - """Test that restricted modules cannot be imported.""" +def test_restricted_sandbox_running_with_blocked_modules(): + """Test that restricted modules cannot be imported when using the deprecated sandbox directly.""" tool = CodeInterpreterTool() restricted_modules = SandboxPython.BLOCKED_MODULES @@ -102,18 +100,15 @@ def test_restricted_sandbox_running_with_blocked_modules( import {module} result = "Import succeeded" """ - result = tool.run(code=code, libraries_used=[]) - printer_mock.assert_called_with( - "Running code in restricted sandbox", color="yellow" - ) - + # Note: run_code_in_restricted_sandbox is deprecated and insecure + # This test verifies the old behavior but should not be used in production + result = tool.run_code_in_restricted_sandbox(code) + assert f"An error occurred: Importing '{module}' is not allowed" in result -def test_restricted_sandbox_running_with_blocked_builtins( - printer_mock, docker_unavailable_mock -): - """Test that restricted builtins are not available.""" +def test_restricted_sandbox_running_with_blocked_builtins(): + """Test that restricted builtins are not available when using the deprecated sandbox directly.""" tool = CodeInterpreterTool() restricted_builtins = SandboxPython.UNSAFE_BUILTINS @@ -122,25 +117,23 @@ def test_restricted_sandbox_running_with_blocked_builtins( {builtin}("test") result = "Builtin available" """ - result = tool.run(code=code, libraries_used=[]) - printer_mock.assert_called_with( - "Running code in restricted sandbox", color="yellow" - ) + # Note: run_code_in_restricted_sandbox is deprecated and insecure + # This test verifies the old behavior but should not be used in production + result = tool.run_code_in_restricted_sandbox(code) assert f"An error occurred: name '{builtin}' is not defined" in result def test_restricted_sandbox_running_with_no_result_variable( printer_mock, docker_unavailable_mock ): - """Test behavior when no result variable is set.""" + """Test behavior when no result variable is set in deprecated sandbox.""" tool = CodeInterpreterTool() code = """ x = 10 """ - result = tool.run(code=code, libraries_used=[]) - printer_mock.assert_called_with( - "Running code in restricted sandbox", color="yellow" - ) + # Note: run_code_in_restricted_sandbox is deprecated and insecure + # This test verifies the old behavior but should not be used in production + result = tool.run_code_in_restricted_sandbox(code) assert result == "No result variable found." @@ -172,3 +165,50 @@ result = eval("5/1") "WARNING: Running code in unsafe mode", color="bold_magenta" ) assert 5.0 == result + + +@pytest.mark.xfail( + reason=( + "run_code_in_restricted_sandbox is known to be vulnerable to sandbox " + "escape via object introspection. This test encodes the desired secure " + "behavior (no escape possible) and will start passing once the " + "vulnerability is fixed or the function is removed." + ) +) +def test_sandbox_escape_vulnerability_demonstration(printer_mock): + """Demonstrate that the restricted sandbox is vulnerable to escape attacks. + + This test shows that an attacker can use Python object introspection to bypass + the restricted sandbox and access blocked modules like 'os'. This is why the + sandbox should never be used for untrusted code execution. + + NOTE: This test uses the deprecated run_code_in_restricted_sandbox directly + to demonstrate the vulnerability. In production, Docker is now required. + """ + tool = CodeInterpreterTool() + + # Classic Python sandbox escape via object introspection + escape_code = """ +# Recover the real __import__ function via object introspection +for cls in ().__class__.__bases__[0].__subclasses__(): + if cls.__name__ == 'catch_warnings': + # Get the real builtins module + real_builtins = cls()._module.__builtins__ + real_import = real_builtins['__import__'] + # Now we can import os and execute commands + os = real_import('os') + # Demonstrate we have escaped the sandbox + result = "SANDBOX_ESCAPED" if hasattr(os, 'system') else "FAILED" + break +""" + + # The deprecated sandbox is vulnerable to this attack + result = tool.run_code_in_restricted_sandbox(escape_code) + + # Desired behavior: the restricted sandbox should prevent this escape. + # If this assertion fails, run_code_in_restricted_sandbox remains vulnerable. + assert result != "SANDBOX_ESCAPED", ( + "The restricted sandbox was bypassed via object introspection. " + "This indicates run_code_in_restricted_sandbox is still vulnerable and " + "is why Docker is now required for safe code execution." + ) diff --git a/lib/crewai/tests/cassettes/test_agents_do_not_get_delegation_tools_with_there_is_only_one_agent.yaml b/lib/crewai/tests/cassettes/test_agents_do_not_get_delegation_tools_with_there_is_only_one_agent.yaml index 4e93b6ad0..24a6ecbd2 100644 --- a/lib/crewai/tests/cassettes/test_agents_do_not_get_delegation_tools_with_there_is_only_one_agent.yaml +++ b/lib/crewai/tests/cassettes/test_agents_do_not_get_delegation_tools_with_there_is_only_one_agent.yaml @@ -1,104 +1,109 @@ interactions: - request: - body: '{"messages": [{"role": "system", "content": "You are Researcher. You''re - love to sey howdy.\nYour personal goal is: Be super empathetic.\nTo give my - best complete final answer to the task use the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}, {"role": "user", "content": "\nCurrent - Task: say howdy\n\nThis is the expect criteria for your final answer: Howdy!\nyou - MUST return the actual complete content as the final answer, not a summary.\n\nBegin! - This is VERY important to you, use the tools available and give your best Final - Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o"}' + body: '{"messages":[{"role":"system","content":"You are Researcher. 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summary.\n\nThis is VERY important to you, your job depends on it!"}],"model":"gpt-4.1-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"Delegate_work_to_coworker","description":"Delegate + summary."}],"model":"gpt-4.1-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"delegate_work_to_coworker","description":"Delegate a specific task to one of the following coworkers: Senior Writer\nThe input to this tool should be the coworker, the task you want them to do, and ALL necessary context to execute the task, they know nothing about the task, so share absolutely - everything you know, don''t reference things but instead explain them.","parameters":{"properties":{"task":{"description":"The + everything you know, don''t reference things but instead explain them.","strict":true,"parameters":{"properties":{"task":{"description":"The task to delegate","title":"Task","type":"string"},"context":{"description":"The context for the task","title":"Context","type":"string"},"coworker":{"description":"The - 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role/name of the coworker to ask","title":"Coworker","type":"string"}},"required":["question","context","coworker"],"type":"object"}}}]}' + role/name of the coworker to ask","title":"Coworker","type":"string"}},"required":["question","context","coworker"],"type":"object","additionalProperties":false}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -35,7 +35,7 @@ interactions: connection: - keep-alive content-length: - - '2270' + - '2298' content-type: - application/json host: @@ -57,48 +57,46 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.3 + - 3.13.12 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0uJLGWT3ELLQ84FugHD30N0rap1d\",\n \"object\": - \"chat.completion\",\n \"created\": 1769108831,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-DJVUF1zvo6c1aeolU4hCgOK2XeUEK\",\n \"object\": + \"chat.completion\",\n \"created\": 1773541639,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - 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You''re a senior writer, specialized in technology, software engineering, AI and startups. You work as a freelancer and are now working on writing content for a new customer.\nYour - personal goal is: Write the best content about AI and AI agents.\nTo give my - best complete final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"},{"role":"user","content":"\nCurrent Task: - Produce a 4-paragraph article about AI focusing on AI Agents, starting with - a 1-paragraph draft. The article should be engaging, informative, and demonstrate - a deep understanding of the topic, highlighting how AI Agents function, their - applications, benefits and potential future developments.\n\nThis is the expected - criteria for your final answer: Your best answer to your coworker asking you - this, accounting for the context shared.\nyou MUST return the actual complete - content as the final answer, not a summary.\n\nThis is the context you''re working - with:\nThe task is to produce an amazing 4-paragraph article about AI with a - focus on AI Agents. The first deliverable is a 1-paragraph draft that sets the - tone for the full article, emphasizing the significance and capabilities of - AI Agents in modern technology. 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This + paragraph should be engaging, informative, and provide a clear introduction + to the topic of AI Agents, capturing the readers'' interest and setting the + stage for a longer article.\n\nThis is the expected criteria for your final + answer: Your best answer to your coworker asking you this, accounting for the + context shared.\nyou MUST return the actual complete content as the final answer, + not a summary.\n\nThis is the context you''re working with:\nThe article on + AI Agents will be a 4 paragraph piece aiming to explain what AI Agents are, + their functionalities, importance, and potential future developments. The draft + paragraph should serve as a compelling introduction that hooks the audience + and introduces the subject matter effectively.\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -175,7 +164,7 @@ interactions: connection: - keep-alive content-length: - - '1766' + - '1228' content-type: - application/json host: @@ -197,53 +186,46 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.3 + - 3.13.12 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0uJOvgyklVDFe1l4S0ty6oMuhfak\",\n \"object\": - \"chat.completion\",\n \"created\": 1769108834,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-DJVUHEhPlZEKRnV2LXW33Z2y5jZB6\",\n \"object\": + \"chat.completion\",\n \"created\": 1773541641,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal - Answer: \\n\\nArtificial Intelligence (AI) agents have emerged as a transformative - force in modern technology, redefining how machines interact with the world - and assist humans in complex tasks. These autonomous systems are designed - to perceive their environment, make decisions, and execute actions to achieve - specific goals, often adapting in real-time to changing conditions. Unlike - traditional software that follows pre-programmed instructions without deviation, - AI agents exhibit a level of intelligence akin to decision-making entities, - leveraging advanced algorithms in machine learning, natural language processing, - and computer vision. From virtual assistants like Siri and Alexa to sophisticated - industrial robots and predictive analytics systems, AI agents are not only - enhancing efficiency but also opening new frontiers in automation and human-computer - interaction. Their capacity to learn, reason, and self-improve positions them - as pivotal enablers in sectors ranging from healthcare and finance to autonomous - vehicles and smart cities, heralding a future where intelligent agents will - seamlessly augment daily life and enterprise operations. This article delves - into the inner workings of AI agents, explores their diverse applications, - underscores their benefits, and envisions their evolving role in shaping the - technological landscape.\",\n \"refusal\": null,\n \"annotations\": + \"assistant\",\n \"content\": \"In the rapidly evolving landscape of + artificial intelligence, AI agents stand out as transformative entities capable + of perceiving their environment, making decisions, and autonomously executing + tasks to achieve specific goals. Far beyond simple algorithms, these agents + act as intelligent intermediaries that can range from virtual assistants managing + our schedules to complex systems driving autonomous vehicles or optimizing + supply chains. As AI agents increasingly integrate into daily life and business + operations, understanding their core principles and potential impact is essential\u2014not + just for tech enthusiasts but for anyone interested in how intelligent automation + is reshaping our future. This article will explore what AI agents are, how + they function, their growing significance across industries, and the exciting + possibilities they hold on the horizon.\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 340,\n \"completion_tokens\": - 233,\n \"total_tokens\": 573,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 222,\n \"completion_tokens\": + 137,\n \"total_tokens\": 359,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_2191215734\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_5e793402c9\"\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9dc814182b1c281b-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Thu, 22 Jan 2026 19:07:18 GMT + - Sun, 15 Mar 2026 02:27:22 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -254,18 +236,16 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '3760' + - '1582' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '3776' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -286,57 +266,50 @@ interactions: code: 200 message: OK - request: - body: '{"messages":[{"role":"system","content":"You are CEO. You''re an long time - CEO of a content creation agency with a Senior Writer on the team. You''re now - working on a new project and want to make sure the content produced is amazing.\nYour - personal goal is: Make sure the writers in your company produce amazing content."},{"role":"user","content":"\nCurrent - Task: Produce and amazing 1 paragraph draft of an article about AI Agents.\n\nThis - is the expected criteria for your final answer: A 4 paragraph article about - AI.\nyou MUST return the actual complete content as the final answer, not a - summary.\n\nThis is VERY important to you, your job depends on it!"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_j5vDsg6M6N1UbDUrQTZnwKia","type":"function","function":{"name":"Delegate_work_to_coworker","arguments":"{\"coworker\":\"Senior - Writer\",\"task\":\"Produce a 4-paragraph article about AI focusing on AI Agents, - starting with a 1-paragraph draft. 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It''s one - of the most fundamental concepts in math and is a building block for all other - math skills. Teaching addition to a 6-year-old involves using simple numbers - and relatable examples that help them visualize and understand the concept of - adding together.\n\n**Angle:**\nTo make the concept of addition fun and engaging, - we can use everyday objects that a child is familiar with, such as toys, fruits, - or drawing items. Incorporating visuals and interactive elements will keep their - attention and help reinforce the idea of combining numbers.\n\n**Examples:**\n\n1. - **Using Objects:**\n - **Scenario:** Let\u2019s say you have 2 apples and - your friend gives you 3 more apples.\n - **Visual**: Arrange the apples in - front of the child.\n - **Question:** \"How many apples do you have now?\"\n - - **Calculation:** 2 apples (your apples) + 3 apples (friend''s apples) = 5 apples. \n - - **Conclusion:** \"You now have 5 apples!\"\n\n2. **Drawing Pictures:**\n - - **Scenario:** Draw 4 stars on one side of the paper and 2 stars on the other - side.\n - **Activity:** Ask the child to count the stars in the first group - and then the second group.\n - **Question:** \"If we put them together, how - many stars do we have?\"\n - **Calculation:** 4 stars + 2 stars = 6 stars. \n - - **Conclusion:** \"You drew 6 stars all together!\"\n\n3. **Story Problems:**\n - - **Scenario:** \"You have 5 toy cars, and you buy 3 more from the store. 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Each memory must:\\n- Be one clear + sentence or short statement\\n- Be understandable without the original context\\n- + Capture a decision, fact, outcome, preference, lesson, or observation worth + remembering\\n- NOT be a vague summary or a restatement of the task description\\n- + NOT duplicate the same idea in different words\\n\\nWhen the content is a conversation, + pay special attention to facts stated by the user (first-person statements). + These personal facts are HIGH PRIORITY and must always be extracted:\\n- What + the user did, bought, made, visited, attended, or completed\\n- Names of people, + pets, places, brands, and specific items the user mentions\\n- Quantities, durations, + dates, and measurements the user states\\n- Subordinate clauses and casual asides + often contain important personal details (e.g. \\\"by the way, it took me 4 + hours\\\" or \\\"my Golden Retriever Max\\\")\\n\\nPreserve exact names and + numbers \u2014 never generalize (e.g. keep \\\"lavender gin fizz\\\" not just + \\\"cocktail\\\", keep \\\"12 largemouth bass\\\" not just \\\"fish caught\\\", + keep \\\"Golden Retriever\\\" not just \\\"dog\\\").\\n\\nAdditional extraction + rules:\\n- Presupposed facts: When the user reveals a fact indirectly in a question + (e.g. \\\"What collar suits a Golden Retriever like Max?\\\" presupposes Max + is a Golden Retriever), extract that fact as a separate memory.\\n- Date precision: + Always preserve the full date including day-of-month when stated (e.g. \\\"February + 14th\\\" not just \\\"February\\\", \\\"March 5\\\" not just \\\"March\\\").\\n- + Life events in passing: When the user mentions a life event (birth, wedding, + graduation, move, adoption) while discussing something else, extract the life + event as its own memory (e.g. \\\"my friend David had a baby boy named Jasper\\\" + is a birth fact, even if mentioned while planning to send congratulations).\\n\\nIf + there is nothing worth remembering (e.g. empty result, no decisions or facts), + return an empty list.\\nOutput a JSON object with a single key \\\"memories\\\" + whose value is a list of strings.\"},{\"role\":\"user\",\"content\":\"Content:\\nTask: + Research a topic to teach a kid aged 6 about math.\\nAgent: Researcher\\nExpected + result: A topic, explanation, angle, and examples.\\nResult: Topic: Basic Addition\\n\\nExplanation:\\nAddition + means putting things together to find out how many there are in total. When + you add, you count all the things from one group plus all the things from another + group, then see how many you have altogether. It\u2019s like if you have some + apples in one hand and some more apples in the other hand, adding helps you + find out how many apples you have both hands together.\\n\\nAngle:\\nMake addition + fun by using real objects or toys that the child can touch and move around. + This helps them see and understand how numbers combine. Use simple numbers and + everyday things like toys, fruits, or even fingers.\\n\\nExamples:\\n1. Imagine + you have 2 toy cars and your friend gives you 3 more toy cars. How many cars + do you have now? Let\u2019s count: 2 + 3 = 5 cars.\\n2. You have 4 apples and + you pick 1 more from the basket. How many apples do you have now? Count together: + 4 + 1 = 5 apples.\\n3. Let\u2019s use your fingers! Hold up 3 fingers on one + hand and 2 fingers on the other hand. 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\"\ - \n }\n ],\n \"model\": \"text-embedding-3-small\",\n \"usage\": {\n\ - \ \"prompt_tokens\": 22,\n \"total_tokens\": 22\n }\n}\n" + string: "{\n \"object\": \"list\",\n \"data\": [\n {\n \"object\": + \"embedding\",\n \"index\": 0,\n \"embedding\": 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\"\n + \ },\n {\n \"object\": \"embedding\",\n \"index\": 1,\n \"embedding\": + 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\"\n 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x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK - request: body: '{"messages":[{"role":"system","content":"You analyze content to be stored in a hierarchical memory system.\nGiven the content and the existing scopes @@ -548,29 +551,9 @@ interactions: categories (reuse existing when relevant, add new ones if needed).\n3. importance: A number from 0.0 to 1.0 indicating how significant this memory is.\n4. extracted_metadata: A JSON object with any entities, dates, or topics you can extract."},{"role":"user","content":"Content - to store:\nTask: Research a topic to teach a kid aged 6 about math.\nAgent: - Researcher\nExpected result: A topic, explanation, angle, and examples.\nResult: - Topic: Understanding Basic Addition\n\nExplanation: \nAddition is a way to put - things together. When we add, we are finding out how many we have in total when - we combine two or more groups of things. Think of it like gathering toys or - fruits into one pile to see how many there are altogether.\n\nAngle:\nTo make - learning addition fun and easy for a 6-year-old, it''s best to use everyday - items they can see and touch. This could be toys, fruits, or even fingers. Using - real objects helps children visualize what addition means and understand the - concept more clearly.\n\nExamples:\n1. Toy Cars: Imagine you have 3 toy cars, - and your friend gives you 2 more. To find out how many toy cars you have now, - you put them all together and count them one by one: 1, 2, 3, 4, 5. So, 3 toy - cars + 2 toy cars = 5 toy cars in total.\n\n2. Apples: If there are 4 apples - in a basket and you add 1 more apple to the basket, how many apples are there? - You can count: 1, 2, 3, 4, 5. That means 4 apples + 1 apple = 5 apples.\n\n3. - Fingers: Show your child their fingers. Ask them to hold up 2 fingers on one - hand and 3 fingers on the other. Now, count all the fingers together. 2 fingers - + 3 fingers = 5 fingers. This way, they can see addition with their own body.\n\nBy - using these simple examples and objects from their daily life, children can - start to understand addition as putting things together and counting to find - the total. This hands-on approach makes math interesting and easier for young - learners.\n\nExisting scopes: [''/'']\nExisting categories: []\n\nReturn the - analysis as structured output."}],"model":"gpt-4o-mini","response_format":{"type":"json_schema","json_schema":{"schema":{"$defs":{"ExtractedMetadata":{"additionalProperties":false,"description":"Fixed + to store:\nCounting steps as you walk, such as One step, two steps, three steps, + helps make learning interactive.\n\nExisting scopes: [''/'']\nExisting categories: + []\n\nReturn the analysis as structured output."}],"model":"gpt-4o-mini","response_format":{"type":"json_schema","json_schema":{"schema":{"$defs":{"ExtractedMetadata":{"additionalProperties":false,"description":"Fixed schema for LLM-extracted metadata (OpenAI requires additionalProperties: false).","properties":{"entities":{"description":"Entities (people, orgs, places) mentioned in the content.","items":{"type":"string"},"title":"Entities","type":"array"},"dates":{"description":"Dates or time references in the content.","items":{"type":"string"},"title":"Dates","type":"array"},"topics":{"description":"Topics @@ -596,7 +579,7 @@ interactions: connection: - keep-alive content-length: - - '4423' + - '2884' content-type: - application/json cookie: @@ -622,36 +605,35 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.5 + - 3.13.12 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D8EZeGTKVahjIiPAhdVUATu7PuBLf\",\n \"object\": - \"chat.completion\",\n \"created\": 1770855018,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-DJVUCuUMPtBWPn0vcnSDMzgO0TbgT\",\n \"object\": + \"chat.completion\",\n \"created\": 1773541636,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"{\\n \\\"suggested_scope\\\": \\\"/education/math\\\",\\n - \ \\\"categories\\\": [\\n \\\"math\\\",\\n \\\"education\\\",\\n \\\"teaching\\\"\\n - \ ],\\n \\\"importance\\\": 0.8,\\n \\\"extracted_metadata\\\": {\\n \\\"entities\\\": - [],\\n \\\"dates\\\": [],\\n \\\"topics\\\": [\\n \\\"addition\\\",\\n - \ \\\"basic math\\\",\\n \\\"teaching strategies for children\\\"\\n - \ ]\\n }\\n}\",\n \"refusal\": null,\n \"annotations\": []\n + \"assistant\",\n \"content\": \"{\\\"suggested_scope\\\":\\\"/learning/instructional_methods\\\",\\\"categories\\\":[\\\"interactive + learning\\\",\\\"counting\\\",\\\"steps\\\"],\\\"importance\\\":0.7,\\\"extracted_metadata\\\":{\\\"entities\\\":[],\\\"dates\\\":[],\\\"topics\\\":[\\\"learning\\\",\\\"counting\\\",\\\"interactive + methods\\\"]}}\",\n \"refusal\": null,\n \"annotations\": []\n \ },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n - \ ],\n \"usage\": {\n \"prompt_tokens\": 919,\n \"completion_tokens\": - 84,\n \"total_tokens\": 1003,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + \ ],\n \"usage\": {\n \"prompt_tokens\": 543,\n \"completion_tokens\": + 50,\n \"total_tokens\": 593,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_ca3df0f49a\"\n}\n" headers: - CF-RAY: - - CF-RAY-XXX + CF-Cache-Status: + - DYNAMIC + CF-Ray: + - 9dc813fd2da7c152-EWR Connection: - keep-alive Content-Type: - application/json Date: - - Thu, 12 Feb 2026 00:10:20 GMT + - Sun, 15 Mar 2026 02:27:17 GMT Server: - cloudflare Strict-Transport-Security: @@ -664,18 +646,14 @@ interactions: - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 - cf-cache-status: - - DYNAMIC openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '1956' + - '723' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - set-cookie: - - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -696,28 +674,29 @@ interactions: code: 200 message: OK - request: - body: '{"input":["Task: Research a topic to teach a kid aged 6 about math.\nAgent: - Researcher\nExpected result: A topic, explanation, angle, and examples.\nResult: - Topic: Understanding Basic Addition\n\nExplanation: \nAddition is a way to put - things together. When we add, we are finding out how many we have in total when - we combine two or more groups of things. Think of it like gathering toys or - fruits into one pile to see how many there are altogether.\n\nAngle:\nTo make - learning addition fun and easy for a 6-year-old, it''s best to use everyday - items they can see and touch. This could be toys, fruits, or even fingers. Using - real objects helps children visualize what addition means and understand the - concept more clearly.\n\nExamples:\n1. Toy Cars: Imagine you have 3 toy cars, - and your friend gives you 2 more. To find out how many toy cars you have now, - you put them all together and count them one by one: 1, 2, 3, 4, 5. So, 3 toy - cars + 2 toy cars = 5 toy cars in total.\n\n2. Apples: If there are 4 apples - in a basket and you add 1 more apple to the basket, how many apples are there? - You can count: 1, 2, 3, 4, 5. That means 4 apples + 1 apple = 5 apples.\n\n3. - Fingers: Show your child their fingers. Ask them to hold up 2 fingers on one - hand and 3 fingers on the other. Now, count all the fingers together. 2 fingers - + 3 fingers = 5 fingers. This way, they can see addition with their own body.\n\nBy - using these simple examples and objects from their daily life, children can - start to understand addition as putting things together and counting to find - the total. This hands-on approach makes math interesting and easier for young - learners."],"model":"text-embedding-ada-002","encoding_format":"base64"}' + body: '{"messages":[{"role":"system","content":"You analyze content to be stored + in a hierarchical memory system.\nGiven the content and the existing scopes + and categories, output:\n1. suggested_scope: The best matching existing scope + path, or a new path if none fit (use / for root).\n2. categories: A list of + categories (reuse existing when relevant, add new ones if needed).\n3. importance: + A number from 0.0 to 1.0 indicating how significant this memory is.\n4. extracted_metadata: + A JSON object with any entities, dates, or topics you can extract."},{"role":"user","content":"Content + to store:\nAn example of comparison is having three apples versus a friend''s + five apples to illustrate who has more.\n\nExisting scopes: [''/'']\nExisting + categories: []\n\nReturn the analysis as structured output."}],"model":"gpt-4o-mini","response_format":{"type":"json_schema","json_schema":{"schema":{"$defs":{"ExtractedMetadata":{"additionalProperties":false,"description":"Fixed + schema for LLM-extracted metadata (OpenAI requires additionalProperties: false).","properties":{"entities":{"description":"Entities + (people, orgs, places) mentioned in the content.","items":{"type":"string"},"title":"Entities","type":"array"},"dates":{"description":"Dates + or time references in the content.","items":{"type":"string"},"title":"Dates","type":"array"},"topics":{"description":"Topics + or themes in the content.","items":{"type":"string"},"title":"Topics","type":"array"}},"title":"ExtractedMetadata","type":"object","required":["entities","dates","topics"]}},"description":"LLM + output for analyzing content before saving to memory.","properties":{"suggested_scope":{"description":"Best + matching existing scope or new path (e.g. /company/decisions).","title":"Suggested + Scope","type":"string"},"categories":{"description":"Categories for the memory + (prefer existing, add new if needed).","items":{"type":"string"},"title":"Categories","type":"array"},"importance":{"default":0.5,"description":"Importance + score from 0.0 to 1.0.","maximum":1.0,"minimum":0.0,"title":"Importance","type":"number"},"extracted_metadata":{"description":"Entities, + dates, topics extracted from the content.","additionalProperties":false,"properties":{"entities":{"description":"Entities + (people, orgs, places) mentioned in the content.","items":{"type":"string"},"title":"Entities","type":"array"},"dates":{"description":"Dates + or time references in the content.","items":{"type":"string"},"title":"Dates","type":"array"},"topics":{"description":"Topics + or themes in the content.","items":{"type":"string"},"title":"Topics","type":"array"}},"title":"ExtractedMetadata","type":"object","required":["entities","dates","topics"]}},"required":["suggested_scope","categories","importance","extracted_metadata"],"title":"MemoryAnalysis","type":"object","additionalProperties":false},"name":"MemoryAnalysis","strict":true}},"stream":false}' headers: User-Agent: - X-USER-AGENT-XXX @@ -730,7 +709,7 @@ interactions: connection: - keep-alive content-length: - - '1715' + - '2887' content-type: - application/json cookie: @@ -741,6 +720,8 @@ interactions: - X-STAINLESS-ARCH-XXX x-stainless-async: - 'false' + x-stainless-helper-method: + - beta.chat.completions.parse x-stainless-lang: - python x-stainless-os: @@ -754,54 +735,957 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.5 + - 3.13.12 method: POST - uri: https://api.openai.com/v1/embeddings + uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"object\": 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openai-processing-ms: + - '1637' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: From 32d7b4a8d4b4c70b920105be187433b445f07914 Mon Sep 17 00:00:00 2001 From: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com> Date: Sun, 15 Mar 2026 18:33:17 -0700 Subject: [PATCH 12/15] Lorenze/feat/plan execute pattern (#4817) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * feat: introduce PlanningConfig for enhanced agent planning capabilities (#4344) * feat: introduce PlanningConfig for enhanced agent planning capabilities This update adds a new PlanningConfig class to manage agent planning configurations, allowing for customizable planning behavior before task execution. The existing reasoning parameter is deprecated in favor of this new configuration, ensuring backward compatibility while enhancing the planning process. Additionally, the Agent class has been updated to utilize this new configuration, and relevant utility functions have been adjusted accordingly. Tests have been added to validate the new planning functionality and ensure proper integration with existing agent workflows. * dropping redundancy * fix test * revert handle_reasoning here * refactor: update reasoning handling in Agent class This commit modifies the Agent class to conditionally call the handle_reasoning function based on the executor class being used. The legacy CrewAgentExecutor will continue to utilize handle_reasoning, while the new AgentExecutor will manage planning internally. Additionally, the PlanningConfig class has been referenced in the documentation to clarify its role in enabling or disabling planning. Tests have been updated to reflect these changes and ensure proper functionality. * improve planning prompts * matching * refactor: remove default enabled flag from PlanningConfig in Agent class * more cassettes * fix test * refactor: update planning prompt and remove deprecated methods in reasoning handler * improve planning prompt * Lorenze/feat planning pt 2 todo list gen (#4449) * feat: introduce PlanningConfig for enhanced agent planning capabilities This update adds a new PlanningConfig class to manage agent planning configurations, allowing for customizable planning behavior before task execution. The existing reasoning parameter is deprecated in favor of this new configuration, ensuring backward compatibility while enhancing the planning process. Additionally, the Agent class has been updated to utilize this new configuration, and relevant utility functions have been adjusted accordingly. Tests have been added to validate the new planning functionality and ensure proper integration with existing agent workflows. * dropping redundancy * fix test * revert handle_reasoning here * refactor: update reasoning handling in Agent class This commit modifies the Agent class to conditionally call the handle_reasoning function based on the executor class being used. The legacy CrewAgentExecutor will continue to utilize handle_reasoning, while the new AgentExecutor will manage planning internally. Additionally, the PlanningConfig class has been referenced in the documentation to clarify its role in enabling or disabling planning. Tests have been updated to reflect these changes and ensure proper functionality. * improve planning prompts * matching * refactor: remove default enabled flag from PlanningConfig in Agent class * more cassettes * fix test * feat: enhance agent planning with structured todo management This commit introduces a new planning system within the AgentExecutor class, allowing for the creation of structured todo items from planning steps. The TodoList and TodoItem models have been added to facilitate tracking of plan execution. The reasoning plan now includes a list of steps, improving the clarity and organization of agent tasks. Additionally, tests have been added to validate the new planning functionality and ensure proper integration with existing workflows. * refactor: update planning prompt and remove deprecated methods in reasoning handler * improve planning prompt * improve handler * linted * linted * Lorenze/feat/planning pt 3 todo list execution (#4450) * feat: introduce PlanningConfig for enhanced agent planning capabilities This update adds a new PlanningConfig class to manage agent planning configurations, allowing for customizable planning behavior before task execution. The existing reasoning parameter is deprecated in favor of this new configuration, ensuring backward compatibility while enhancing the planning process. Additionally, the Agent class has been updated to utilize this new configuration, and relevant utility functions have been adjusted accordingly. Tests have been added to validate the new planning functionality and ensure proper integration with existing agent workflows. * dropping redundancy * fix test * revert handle_reasoning here * refactor: update reasoning handling in Agent class This commit modifies the Agent class to conditionally call the handle_reasoning function based on the executor class being used. The legacy CrewAgentExecutor will continue to utilize handle_reasoning, while the new AgentExecutor will manage planning internally. Additionally, the PlanningConfig class has been referenced in the documentation to clarify its role in enabling or disabling planning. Tests have been updated to reflect these changes and ensure proper functionality. * improve planning prompts * matching * refactor: remove default enabled flag from PlanningConfig in Agent class * more cassettes * fix test * feat: enhance agent planning with structured todo management This commit introduces a new planning system within the AgentExecutor class, allowing for the creation of structured todo items from planning steps. The TodoList and TodoItem models have been added to facilitate tracking of plan execution. The reasoning plan now includes a list of steps, improving the clarity and organization of agent tasks. Additionally, tests have been added to validate the new planning functionality and ensure proper integration with existing workflows. * refactor: update planning prompt and remove deprecated methods in reasoning handler * improve planning prompt * improve handler * execute todos and be able to track them * feat: introduce PlannerObserver and StepExecutor for enhanced plan execution This commit adds the PlannerObserver and StepExecutor classes to the CrewAI framework, implementing the observation phase of the Plan-and-Execute architecture. The PlannerObserver analyzes step execution results, determines plan validity, and suggests refinements, while the StepExecutor executes individual todo items in isolation. These additions improve the overall planning and execution process, allowing for more dynamic and responsive agent behavior. Additionally, new observation events have been defined to facilitate monitoring and logging of the planning process. * refactor: enhance final answer synthesis in AgentExecutor This commit improves the synthesis of final answers in the AgentExecutor class by implementing a more coherent approach to combining results from multiple todo items. The method now utilizes a single LLM call to generate a polished response, falling back to concatenation if the synthesis fails. Additionally, the test cases have been updated to reflect the changes in planning and execution, ensuring that the results are properly validated and that the plan-and-execute architecture is functioning as intended. * refactor: enhance final answer synthesis in AgentExecutor This commit improves the synthesis of final answers in the AgentExecutor class by implementing a more coherent approach to combining results from multiple todo items. The method now utilizes a single LLM call to generate a polished response, falling back to concatenation if the synthesis fails. Additionally, the test cases have been updated to reflect the changes in planning and execution, ensuring that the results are properly validated and that the plan-and-execute architecture is functioning as intended. * refactor: implement structured output handling in final answer synthesis This commit enhances the final answer synthesis process in the AgentExecutor class by introducing support for structured outputs when a response model is specified. The synthesis method now utilizes the response model to produce outputs that conform to the expected schema, while still falling back to concatenation in case of synthesis failures. This change ensures that intermediate steps yield free-text results, but the final output can be structured, improving the overall coherence and usability of the synthesized answers. * regen tests * linted * fix * Enhance PlanningConfig and AgentExecutor with Reasoning Effort Levels This update introduces a new attribute in the class, allowing users to customize the observation and replanning behavior during task execution. The class has been modified to utilize this new attribute, routing step observations based on the specified reasoning effort level: low, medium, or high. Additionally, tests have been added to validate the functionality of the reasoning effort levels, ensuring that the agent behaves as expected under different configurations. This enhancement improves the adaptability and efficiency of the planning process in agent execution. * regen cassettes for test and fix test * cassette regen * fixing tests * dry * Refactor PlannerObserver and StepExecutor to Utilize I18N for Prompts This update enhances the PlannerObserver and StepExecutor classes by integrating the I18N utility for managing prompts and messages. The system and user prompts are now retrieved from the I18N module, allowing for better localization and maintainability. Additionally, the code has been cleaned up to remove hardcoded strings, improving readability and consistency across the planning and execution processes. * Refactor PlannerObserver and StepExecutor to Utilize I18N for Prompts This update enhances the PlannerObserver and StepExecutor classes by integrating the I18N utility for managing prompts and messages. The system and user prompts are now retrieved from the I18N module, allowing for better localization and maintainability. Additionally, the code has been cleaned up to remove hardcoded strings, improving readability and consistency across the planning and execution processes. * consolidate agent logic * fix datetime * improving step executor * refactor: streamline observation and refinement process in PlannerObserver - Updated the PlannerObserver to apply structured refinements directly from observations without requiring a second LLM call. - Renamed method to for clarity. - Enhanced documentation to reflect changes in how refinements are handled. - Removed unnecessary LLM message building and parsing logic, simplifying the refinement process. - Updated event emissions to include summaries of refinements instead of raw data. * enhance step executor with tool usage events and validation - Added event emissions for tool usage, including started and finished events, to track tool execution. - Implemented validation to ensure expected tools are called during step execution, raising errors when not. - Refactored the method to handle tool execution with event logging. - Introduced a new method for parsing tool input into a structured format. - Updated tests to cover new functionality and ensure correct behavior of tool usage events. * refactor: enhance final answer synthesis logic in AgentExecutor - Updated the finalization process to conditionally skip synthesis when the last todo result is sufficient as a complete answer. - Introduced a new method to determine if the last todo result can be used directly, improving efficiency. - Added tests to verify the new behavior, ensuring synthesis is skipped when appropriate and maintained when a response model is set. * fix: update observation handling in PlannerObserver for LLM errors - Modified the error handling in the PlannerObserver to default to a conservative replan when an LLM call fails. - Updated the return values to indicate that the step was not completed successfully and that a full replan is needed. - Added a new test to verify the behavior of the observer when an LLM error occurs, ensuring the correct replan logic is triggered. * refactor: enhance planning and execution flow in agents - Updated the PlannerObserver to accept a kickoff input for standalone task execution, improving flexibility in task handling. - Refined the step execution process in StepExecutor to support multi-turn action loops, allowing for iterative tool execution and observation. - Introduced a method to extract relevant task sections from descriptions, ensuring clarity in task requirements. - Enhanced the AgentExecutor to manage step failures more effectively, triggering replans only when necessary and preserving completed task history. - Updated translations to reflect changes in planning principles and execution prompts, emphasizing concrete and executable steps. * refactor: update setup_native_tools to include tool_name_mapping - Modified the setup_native_tools function to return an additional mapping of tool names. - Updated StepExecutor and AgentExecutor classes to accommodate the new return value from setup_native_tools. * fix tests * linted * linted * feat: enhance image block handling in Anthropic provider and update AgentExecutor logic - Added a method to convert OpenAI-style image_url blocks to Anthropic's required format. - Updated AgentExecutor to handle cases where no todos are ready, introducing a needs_replan return state. - Improved fallback answer generation in AgentExecutor to prevent RuntimeErrors when no final output is produced. * lint * lint * 1. Added failed to TodoStatus (planning_types.py) - TodoStatus now includes failed as a valid state: Literal[pending, running, completed, failed] - Added mark_failed(step_number, result) method to TodoList - Added get_failed_todos() method to TodoList - Updated is_complete to treat both completed and failed as terminal states - Updated replace_pending_todos docstring to mention failed items are preserved 2. Mark running todos as failed before replan (agent_executor.py) All three effort-level handlers now call mark_failed() on the current todo before routing to replan_now: - Low effort (handle_step_observed_low): hard-failure branch - Medium effort (handle_step_observed_medium): needs_full_replan branch - High effort (decide_next_action): both needs_full_replan and step_completed_successfully=False branches 3. Updated _should_replan to use get_failed_todos() Previously filtered on todo.status == failed which was dead code. Now uses the proper accessor method that will actually find failed items. What this fixes: Before these changes, a step that triggered a replan would stay in running status permanently, causing is_complete to never return True and next_pending to skip it — leading to stuck execution states. Now failed steps are properly tracked, replanning context correctly reports them, and LiteAgentOutput.failed_todos will actually return results. * fix test * imp on failed states * adjusted the var name from AgentReActState to AgentExecutorState * addressed p0 bugs * more improvements * linted * regen cassette * addressing crictical comments * ensure configurable timeouts, max_replans and max step iterations * adjusted tools * dropping debug statements * addressed comment * fix linter * lints and test fixes * fix: default observation parse fallback to failure and clean up plan-execute types When _parse_observation_response fails all parse attempts, default to step_completed_successfully=False instead of True to avoid silently masking failures. Extract duplicate _extract_task_section into a shared utility in agent_utils. Type PlanningConfig.llm as str | BaseLLM | None instead of str | Any | None. Make StepResult a frozen dataclass for immutability consistency with StepExecutionContext. * fix: remove Any from function_calling_llm union type in step_executor * fix: make BaseTool usage count thread-safe for parallel step execution Add _usage_lock and _claim_usage() to BaseTool for atomic check-and-increment of current_usage_count. This prevents race conditions when parallel plan steps invoke the same tool concurrently via execute_todos_parallel. Remove the racy pre-check from execute_single_native_tool_call since the limit is now enforced atomically inside tool.run(). --------- Co-authored-by: Greyson LaLonde Co-authored-by: Greyson LaLonde --- lib/crewai/src/crewai/__init__.py | 2 + lib/crewai/src/crewai/agent/core.py | 146 +- .../src/crewai/agent/planning_config.py | 138 + lib/crewai/src/crewai/agent/utils.py | 21 +- .../src/crewai/agents/planner_observer.py | 345 + lib/crewai/src/crewai/agents/step_executor.py | 629 + .../src/crewai/events/event_listener.py | 66 + .../listeners/tracing/trace_listener.py | 41 + .../crewai/events/types/observation_events.py | 99 + .../crewai/events/types/reasoning_events.py | 2 +- .../crewai/events/utils/console_formatter.py | 146 + .../src/crewai/experimental/agent_executor.py | 1795 ++- lib/crewai/src/crewai/lite_agent_output.py | 81 + .../llms/providers/anthropic/completion.py | 54 +- .../llms/providers/bedrock/completion.py | 19 +- lib/crewai/src/crewai/tools/base_tool.py | 51 +- lib/crewai/src/crewai/translations/en.json | 29 +- .../src/crewai/utilities/agent_utils.py | 487 +- lib/crewai/src/crewai/utilities/i18n.py | 1 + .../src/crewai/utilities/planning_types.py | 279 + .../src/crewai/utilities/reasoning_handler.py | 514 +- .../utilities/step_execution_context.py | 64 + lib/crewai/tests/agents/test_agent.py | 8 +- .../tests/agents/test_agent_executor.py | 1383 +- .../tests/agents/test_agent_reasoning.py | 453 +- lib/crewai/tests/agents/test_lite_agent.py | 25 +- ...[anthropic-claude-3-5-haiku-20241022].yaml | 144 +- ...[anthropic-claude-3-5-haiku-20241022].yaml | 143 +- ...[anthropic-claude-3-5-haiku-20241022].yaml | 141 +- ...odalAsync.test_async_agent_with_image.yaml | 177 +- ...MultimodalFileTypes.test_audio_gemini.yaml | 111 +- ...MultimodalFileTypes.test_image_openai.yaml | 175 +- ...ultimodalFileTypes.test_pdf_anthropic.yaml | 138 +- ...alFileTypes.test_pdf_openai_responses.yaml | 192 +- ...tMultimodalFileTypes.test_text_gemini.yaml | 120 +- ...MultimodalFileTypes.test_video_gemini.yaml | 116 +- ...t_audio_file[gemini-gemini-2.0-flash].yaml | 99 +- ...t_audio_file[gemini-gemini-2.5-flash].yaml | 132 + ...t_image_file[gemini-gemini-2.0-flash].yaml | 119 +- ...t_image_file[gemini-gemini-2.5-flash].yaml | 139 + ..._mixed_files[gemini-gemini-2.0-flash].yaml | 111 +- ..._mixed_files[gemini-gemini-2.5-flash].yaml | 143 + ...st_text_file[gemini-gemini-2.0-flash].yaml | 114 +- ...st_text_file[gemini-gemini-2.5-flash].yaml | 134 + ...t_video_file[gemini-gemini-2.0-flash].yaml | 43 +- ...t_video_file[gemini-gemini-2.5-flash].yaml | 151 + ...eneric_file_image[openai-gpt-4o-mini].yaml | 165 +- ...est_generic_file_image[openai-gpt-4o].yaml | 165 +- ...st_generic_file_image[openai-o4-mini].yaml | 163 +- ....test_image_bytes[openai-gpt-4o-mini].yaml | 164 +- ...penAI.test_image_bytes[openai-gpt-4o].yaml | 165 +- ...enAI.test_image_bytes[openai-o4-mini].yaml | 163 +- ...I.test_image_file[openai-gpt-4o-mini].yaml | 165 +- ...OpenAI.test_image_file[openai-gpt-4o].yaml | 162 +- ...penAI.test_image_file[openai-o4-mini].yaml | 161 +- ...ge_file[openai-gpt-4o-mini-responses].yaml | 196 +- ..._image_file[openai-o4-mini-responses].yaml | 189 +- ...df_file[openai-gpt-4o-mini-responses].yaml | 183 +- ...st_pdf_file[openai-o4-mini-responses].yaml | 180 +- ...gent_kickoff_with_failed_a2a_endpoint.yaml | 124 +- ...test_agent_without_a2a_works_normally.yaml | 124 +- ..._agent_kickoff_async_delegates_to_a2a.yaml | 580 +- ...ff_with_planning_stores_plan_in_state.yaml | 781 ++ ...ithout_planning_skips_plan_generation.yaml | 216 + ...or_state_contains_plan_after_planning.yaml | 781 ++ ...tes_minimal_steps_for_multi_step_task.yaml | 1386 ++ ...test_planning_disabled_skips_planning.yaml | 288 + ...ng_handles_sequential_dependency_task.yaml | 1224 ++ ...t_high_runs_full_observation_pipeline.yaml | 875 ++ ...ng_effort_low_skips_decide_and_replan.yaml | 870 ++ ...f_no_response_format_returns_raw_text.yaml | 216 + ...sponse_format_with_planning_and_tools.yaml | 10605 ++++++++++++++++ ...koff_response_format_without_planning.yaml | 230 + .../agents/test_agent_execute_task_basic.yaml | 30 +- .../test_agent_execute_task_with_context.yaml | 32 +- ...st_agent_execute_task_with_custom_llm.yaml | 30 +- ...test_agent_execute_task_with_planning.yaml | 231 + ...ent_execute_task_with_planning_refine.yaml | 243 + .../test_agent_execute_task_with_tool.yaml | 147 +- ...t_agent_execute_task_without_planning.yaml | 110 + ...kickoff_multi_step_task_with_planning.yaml | 1393 ++ .../test_agent_kickoff_with_planning.yaml | 780 ++ ..._agent_kickoff_with_planning_disabled.yaml | 220 + ...est_agent_kickoff_with_platform_tools.yaml | 166 +- .../test_agent_kickoff_without_planning.yaml | 217 + ...put_when_guardrail_returns_base_model.yaml | 315 +- ...st_guardrail_is_called_using_callable.yaml | 285 +- ...test_guardrail_is_called_using_string.yaml | 638 +- .../test_guardrail_reached_attempt_limit.yaml | 1097 +- .../test_lite_agent_inside_flow_sync.yaml | 122 +- ..._lite_agent_kickoff_async_inside_flow.yaml | 143 +- ...ite_agent_returns_usage_metrics_async.yaml | 182 +- ...est_lite_agent_standalone_still_works.yaml | 190 +- .../test_lite_agent_structured_output.yaml | 416 +- .../agents/test_lite_agent_with_tools.yaml | 148 +- .../test_multiple_agents_in_same_flow.yaml | 271 +- ...st_native_tool_calling_error_handling.yaml | 161 +- ...nt_native_tool_hooks_before_and_after.yaml | 242 +- ..._kickoff_structured_output_with_tools.yaml | 10 +- ...ckoff_structured_output_without_tools.yaml | 136 +- ..._kickoff_structured_output_with_tools.yaml | 102 +- ...ckoff_structured_output_without_tools.yaml | 107 +- ..._kickoff_structured_output_with_tools.yaml | 86 +- ..._kickoff_structured_output_with_tools.yaml | 93 +- ...ckoff_structured_output_without_tools.yaml | 117 +- ..._kickoff_structured_output_with_tools.yaml | 54 +- ...ckoff_structured_output_without_tools.yaml | 161 +- ..._responses_api_with_structured_output.yaml | 26 +- ...t_conditional_tasks_result_collection.yaml | 73 + .../test_multiple_before_after_kickoff.yaml | 1478 ++- .../cassettes/test_sync_task_execution.yaml | 74 + ...pic_research_workflow_generates_steps.yaml | 1621 +++ ...ure_research_workflow_generates_steps.yaml | 548 + ...ini_research_workflow_generates_steps.yaml | 613 + ...nai_research_workflow_generates_steps.yaml | 708 ++ .../test_llm_emits_event_with_lite_agent.yaml | 135 +- lib/crewai/tests/llms/google/test_google.py | 4 +- lib/crewai/tests/test_agent_multimodal.py | 4 +- lib/crewai/tests/utilities/test_events.py | 9 +- .../tests/utilities/test_planning_types.py | 389 + .../utilities/test_structured_planning.py | 698 + 121 files changed, 41199 insertions(+), 3897 deletions(-) create mode 100644 lib/crewai/src/crewai/agent/planning_config.py create mode 100644 lib/crewai/src/crewai/agents/planner_observer.py create mode 100644 lib/crewai/src/crewai/agents/step_executor.py create mode 100644 lib/crewai/src/crewai/events/types/observation_events.py create mode 100644 lib/crewai/src/crewai/utilities/planning_types.py create mode 100644 lib/crewai/src/crewai/utilities/step_execution_context.py create mode 100644 lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_audio_file[gemini-gemini-2.5-flash].yaml create mode 100644 lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_image_file[gemini-gemini-2.5-flash].yaml create mode 100644 lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_mixed_files[gemini-gemini-2.5-flash].yaml create mode 100644 lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_text_file[gemini-gemini-2.5-flash].yaml create mode 100644 lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_video_file[gemini-gemini-2.5-flash].yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestAgentExecutorPlanning.test_agent_kickoff_with_planning_stores_plan_in_state.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestAgentExecutorPlanning.test_agent_kickoff_without_planning_skips_plan_generation.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestAgentExecutorPlanning.test_executor_state_contains_plan_after_planning.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestAgentExecutorPlanning.test_planning_creates_minimal_steps_for_multi_step_task.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestAgentExecutorPlanning.test_planning_disabled_skips_planning.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestAgentExecutorPlanning.test_planning_handles_sequential_dependency_task.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestReasoningEffort.test_reasoning_effort_high_runs_full_observation_pipeline.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestReasoningEffort.test_reasoning_effort_low_skips_decide_and_replan.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestResponseFormatWithKickoff.test_kickoff_no_response_format_returns_raw_text.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestResponseFormatWithKickoff.test_kickoff_response_format_with_planning_and_tools.yaml create mode 100644 lib/crewai/tests/cassettes/agents/TestResponseFormatWithKickoff.test_kickoff_response_format_without_planning.yaml create mode 100644 lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_planning.yaml create mode 100644 lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_planning_refine.yaml create mode 100644 lib/crewai/tests/cassettes/agents/test_agent_execute_task_without_planning.yaml create mode 100644 lib/crewai/tests/cassettes/agents/test_agent_kickoff_multi_step_task_with_planning.yaml create mode 100644 lib/crewai/tests/cassettes/agents/test_agent_kickoff_with_planning.yaml create mode 100644 lib/crewai/tests/cassettes/agents/test_agent_kickoff_with_planning_disabled.yaml create mode 100644 lib/crewai/tests/cassettes/agents/test_agent_kickoff_without_planning.yaml create mode 100644 lib/crewai/tests/cassettes/test_conditional_tasks_result_collection.yaml create mode 100644 lib/crewai/tests/cassettes/test_sync_task_execution.yaml create mode 100644 lib/crewai/tests/cassettes/utilities/TestAnthropicStructuredPlanning.test_anthropic_research_workflow_generates_steps.yaml create mode 100644 lib/crewai/tests/cassettes/utilities/TestAzureStructuredPlanning.test_azure_research_workflow_generates_steps.yaml create mode 100644 lib/crewai/tests/cassettes/utilities/TestGeminiStructuredPlanning.test_gemini_research_workflow_generates_steps.yaml create mode 100644 lib/crewai/tests/cassettes/utilities/TestOpenAIStructuredPlanning.test_openai_research_workflow_generates_steps.yaml create mode 100644 lib/crewai/tests/utilities/test_planning_types.py create mode 100644 lib/crewai/tests/utilities/test_structured_planning.py diff --git a/lib/crewai/src/crewai/__init__.py b/lib/crewai/src/crewai/__init__.py index b61b508fd..75c503a4e 100644 --- a/lib/crewai/src/crewai/__init__.py +++ b/lib/crewai/src/crewai/__init__.py @@ -5,6 +5,7 @@ import urllib.request import warnings from crewai.agent.core import Agent +from crewai.agent.planning_config import PlanningConfig from crewai.crew import Crew from crewai.crews.crew_output import CrewOutput from crewai.flow.flow import Flow @@ -102,6 +103,7 @@ __all__ = [ "Knowledge", "LLMGuardrail", "Memory", + "PlanningConfig", "Process", "Task", "TaskOutput", diff --git a/lib/crewai/src/crewai/agent/core.py b/lib/crewai/src/crewai/agent/core.py index f109a7968..8f3c80107 100644 --- a/lib/crewai/src/crewai/agent/core.py +++ b/lib/crewai/src/crewai/agent/core.py @@ -23,6 +23,7 @@ from pydantic import ( ) from typing_extensions import Self +from crewai.agent.planning_config import PlanningConfig from crewai.agent.utils import ( ahandle_knowledge_retrieval, apply_training_data, @@ -192,13 +193,23 @@ class Agent(BaseAgent): default="safe", description="Mode for code execution: 'safe' (using Docker) or 'unsafe' (direct execution).", ) - reasoning: bool = Field( + planning_config: PlanningConfig | None = Field( + default=None, + description="Configuration for agent planning before task execution.", + ) + planning: bool = Field( default=False, description="Whether the agent should reflect and create a plan before executing a task.", ) + reasoning: bool = Field( + default=False, + description="[DEPRECATED: Use planning_config instead] Whether the agent should reflect and create a plan before executing a task.", + deprecated=True, + ) max_reasoning_attempts: int | None = Field( default=None, - description="Maximum number of reasoning attempts before executing the task. If None, will try until ready.", + description="[DEPRECATED: Use planning_config.max_attempts instead] Maximum number of reasoning attempts before executing the task. If None, will try until ready.", + deprecated=True, ) embedder: EmbedderConfig | None = Field( default=None, @@ -265,8 +276,26 @@ class Agent(BaseAgent): if self.allow_code_execution: self._validate_docker_installation() + # Handle backward compatibility: convert reasoning=True to planning_config + if self.reasoning and self.planning_config is None: + import warnings + + warnings.warn( + "The 'reasoning' parameter is deprecated. Use 'planning_config=PlanningConfig()' instead.", + DeprecationWarning, + stacklevel=2, + ) + self.planning_config = PlanningConfig( + max_attempts=self.max_reasoning_attempts, + ) + return self + @property + def planning_enabled(self) -> bool: + """Check if planning is enabled for this agent.""" + return self.planning_config is not None or self.planning + def _setup_agent_executor(self) -> None: if not self.cache_handler: self.cache_handler = CacheHandler() @@ -335,7 +364,11 @@ class Agent(BaseAgent): ValueError: If the max execution time is not a positive integer. RuntimeError: If the agent execution fails for other reasons. """ - handle_reasoning(self, task) + # Only call handle_reasoning for legacy CrewAgentExecutor + # For AgentExecutor, planning is handled in AgentExecutor.generate_plan() + if self.executor_class is not AgentExecutor: + handle_reasoning(self, task) + self._inject_date_to_task(task) if self.tools_handler: @@ -577,7 +610,10 @@ class Agent(BaseAgent): ValueError: If the max execution time is not a positive integer. RuntimeError: If the agent execution fails for other reasons. """ - handle_reasoning(self, task) + if self.executor_class is not AgentExecutor: + handle_reasoning( + self, task + ) # we need this till CrewAgentExecutor migrates to AgentExecutor self._inject_date_to_task(task) if self.tools_handler: @@ -1423,17 +1459,19 @@ class Agent(BaseAgent): except Exception as e: self._logger.log("error", f"Failed to save kickoff result to memory: {e}") - def _execute_and_build_output( + def _build_output_from_result( self, + result: dict[str, Any], executor: AgentExecutor, - inputs: dict[str, str], response_format: type[Any] | None = None, ) -> LiteAgentOutput: - """Execute the agent and build the output object. + """Build a LiteAgentOutput from an executor result dict. + + Shared logic used by both sync and async execution paths. Args: + result: The result dictionary from executor.invoke / invoke_async. executor: The executor instance. - inputs: Input dictionary for execution. response_format: Optional response format. Returns: @@ -1441,8 +1479,6 @@ class Agent(BaseAgent): """ import json - # Execute the agent (this is called from sync path, so invoke returns dict) - result = cast(dict[str, Any], executor.invoke(inputs)) output = result.get("output", "") # Handle response format conversion @@ -1490,91 +1526,39 @@ class Agent(BaseAgent): else str(raw_output) ) + todo_results = LiteAgentOutput.from_todo_items(executor.state.todos.items) + return LiteAgentOutput( raw=raw_str, pydantic=formatted_result, agent_role=self.role, usage_metrics=usage_metrics.model_dump() if usage_metrics else None, - messages=executor.messages, + messages=list(executor.state.messages), + plan=executor.state.plan, + todos=todo_results, + replan_count=executor.state.replan_count, + last_replan_reason=executor.state.last_replan_reason, ) + def _execute_and_build_output( + self, + executor: AgentExecutor, + inputs: dict[str, str], + response_format: type[Any] | None = None, + ) -> LiteAgentOutput: + """Execute the agent synchronously and build the output object.""" + result = cast(dict[str, Any], executor.invoke(inputs)) + return self._build_output_from_result(result, executor, response_format) + async def _execute_and_build_output_async( self, executor: AgentExecutor, inputs: dict[str, str], response_format: type[Any] | None = None, ) -> LiteAgentOutput: - """Execute the agent asynchronously and build the output object. - - This is the async version of _execute_and_build_output that uses - invoke_async() for native async execution within event loops. - - Args: - executor: The executor instance. - inputs: Input dictionary for execution. - response_format: Optional response format. - - Returns: - LiteAgentOutput with raw output, formatted result, and metrics. - """ - import json - - # Execute the agent asynchronously + """Execute the agent asynchronously and build the output object.""" result = await executor.invoke_async(inputs) - output = result.get("output", "") - - # Handle response format conversion - formatted_result: BaseModel | None = None - raw_output: str - - if isinstance(output, BaseModel): - formatted_result = output - raw_output = output.model_dump_json() - elif response_format: - raw_output = str(output) if not isinstance(output, str) else output - try: - model_schema = generate_model_description(response_format) - schema = json.dumps(model_schema, indent=2) - instructions = self.i18n.slice("formatted_task_instructions").format( - output_format=schema - ) - - converter = Converter( - llm=self.llm, - text=raw_output, - model=response_format, - instructions=instructions, - ) - - conversion_result = converter.to_pydantic() - if isinstance(conversion_result, BaseModel): - formatted_result = conversion_result - except ConverterError: - pass # Keep raw output if conversion fails - else: - raw_output = str(output) if not isinstance(output, str) else output - - # Get token usage metrics - if isinstance(self.llm, BaseLLM): - usage_metrics = self.llm.get_token_usage_summary() - else: - usage_metrics = self._token_process.get_summary() - - raw_str = ( - raw_output - if isinstance(raw_output, str) - else raw_output.model_dump_json() - if isinstance(raw_output, BaseModel) - else str(raw_output) - ) - - return LiteAgentOutput( - raw=raw_str, - pydantic=formatted_result, - agent_role=self.role, - usage_metrics=usage_metrics.model_dump() if usage_metrics else None, - messages=executor.messages, - ) + return self._build_output_from_result(result, executor, response_format) def _process_kickoff_guardrail( self, diff --git a/lib/crewai/src/crewai/agent/planning_config.py b/lib/crewai/src/crewai/agent/planning_config.py new file mode 100644 index 000000000..d30b0eb46 --- /dev/null +++ b/lib/crewai/src/crewai/agent/planning_config.py @@ -0,0 +1,138 @@ +from __future__ import annotations + +from typing import Literal + +from pydantic import BaseModel, Field + +from crewai.llms.base_llm import BaseLLM + + +class PlanningConfig(BaseModel): + """Configuration for agent planning/reasoning before task execution. + + This allows users to customize the planning behavior including prompts, + iteration limits, the LLM used for planning, and the reasoning effort + level that controls post-step observation and replanning behavior. + + Note: To disable planning, don't pass a planning_config or set planning=False + on the Agent. The presence of a PlanningConfig enables planning. + + Attributes: + reasoning_effort: Controls observation and replanning after each step. + - "low": Observe each step (validates success), but skip the + decide/replan/refine pipeline. Steps are marked complete and + execution continues linearly. Fastest option. + - "medium": Observe each step. On failure, trigger replanning. + On success, skip refinement and continue. Balanced option. + - "high": Full observation pipeline — observe every step, then + route through decide_next_action which can trigger early goal + achievement, full replanning, or lightweight refinement. + Most adaptive but adds latency per step. + max_attempts: Maximum number of planning refinement attempts. + If None, will continue until the agent indicates readiness. + max_steps: Maximum number of steps in the generated plan. + system_prompt: Custom system prompt for planning. Uses default if None. + plan_prompt: Custom prompt for creating the initial plan. + refine_prompt: Custom prompt for refining the plan. + llm: LLM to use for planning. Uses agent's LLM if None. + + Example: + ```python + from crewai import Agent + from crewai.agent.planning_config import PlanningConfig + + # Simple usage — fast, linear execution (default) + agent = Agent( + role="Researcher", + goal="Research topics", + backstory="Expert researcher", + planning_config=PlanningConfig(), + ) + + # Balanced — replan only when steps fail + agent = Agent( + role="Researcher", + goal="Research topics", + backstory="Expert researcher", + planning_config=PlanningConfig( + reasoning_effort="medium", + ), + ) + + # Full adaptive planning with refinement and replanning + agent = Agent( + role="Researcher", + goal="Research topics", + backstory="Expert researcher", + planning_config=PlanningConfig( + reasoning_effort="high", + max_attempts=3, + max_steps=10, + plan_prompt="Create a focused plan for: {description}", + llm="gpt-4o-mini", # Use cheaper model for planning + ), + ) + ``` + """ + + reasoning_effort: Literal["low", "medium", "high"] = Field( + default="medium", + description=( + "Controls post-step observation and replanning behavior. " + "'low' observes steps but skips replanning/refinement (fastest). " + "'medium' observes and replans only on step failure (balanced). " + "'high' runs full observation pipeline with replanning, refinement, " + "and early goal detection (most adaptive, highest latency)." + ), + ) + max_attempts: int | None = Field( + default=None, + description=( + "Maximum number of planning refinement attempts. " + "If None, will continue until the agent indicates readiness." + ), + ) + max_steps: int = Field( + default=20, + description="Maximum number of steps in the generated plan.", + ge=1, + ) + system_prompt: str | None = Field( + default=None, + description="Custom system prompt for planning. Uses default if None.", + ) + plan_prompt: str | None = Field( + default=None, + description="Custom prompt for creating the initial plan.", + ) + refine_prompt: str | None = Field( + default=None, + description="Custom prompt for refining the plan.", + ) + max_replans: int = Field( + default=3, + description="Maximum number of full replanning attempts before finalizing.", + ge=0, + ) + max_step_iterations: int = Field( + default=15, + description=( + "Maximum LLM iterations per step in the StepExecutor multi-turn loop. " + "Lower values make steps faster but less thorough." + ), + ge=1, + ) + step_timeout: int | None = Field( + default=None, + description=( + "Maximum wall-clock seconds for a single step execution. " + "If exceeded, the step is marked as failed and observation decides " + "whether to continue or replan. None means no per-step timeout." + ), + ) + llm: str | BaseLLM | None = Field( + default=None, + description="LLM to use for planning. Uses agent's LLM if None.", + ) + + model_config = {"arbitrary_types_allowed": True} diff --git a/lib/crewai/src/crewai/agent/utils.py b/lib/crewai/src/crewai/agent/utils.py index fb9d2b75a..fc74db433 100644 --- a/lib/crewai/src/crewai/agent/utils.py +++ b/lib/crewai/src/crewai/agent/utils.py @@ -28,13 +28,20 @@ if TYPE_CHECKING: def handle_reasoning(agent: Agent, task: Task) -> None: - """Handle the reasoning process for an agent before task execution. + """Handle the reasoning/planning process for an agent before task execution. + + This function checks if planning is enabled for the agent and, if so, + creates a plan that gets appended to the task description. + + Note: This function is used by CrewAgentExecutor (legacy path). + For AgentExecutor, planning is handled in AgentExecutor.generate_plan(). Args: agent: The agent performing the task. task: The task to execute. """ - if not agent.reasoning: + # Check if planning is enabled using the planning_enabled property + if not getattr(agent, "planning_enabled", False): return try: @@ -43,13 +50,13 @@ def handle_reasoning(agent: Agent, task: Task) -> None: AgentReasoningOutput, ) - reasoning_handler = AgentReasoning(task=task, agent=agent) - reasoning_output: AgentReasoningOutput = ( - reasoning_handler.handle_agent_reasoning() + planning_handler = AgentReasoning(agent=agent, task=task) + planning_output: AgentReasoningOutput = ( + planning_handler.handle_agent_reasoning() ) - task.description += f"\n\nReasoning Plan:\n{reasoning_output.plan.plan}" + task.description += f"\n\nPlanning:\n{planning_output.plan.plan}" except Exception as e: - agent._logger.log("error", f"Error during reasoning process: {e!s}") + agent._logger.log("error", f"Error during planning: {e!s}") def build_task_prompt_with_schema(task: Task, task_prompt: str, i18n: I18N) -> str: diff --git a/lib/crewai/src/crewai/agents/planner_observer.py b/lib/crewai/src/crewai/agents/planner_observer.py new file mode 100644 index 000000000..8be1c7368 --- /dev/null +++ b/lib/crewai/src/crewai/agents/planner_observer.py @@ -0,0 +1,345 @@ +"""PlannerObserver: Observation phase after each step execution. + +Implements the "Observe" phase. After every step execution, the Planner +analyzes what happened, what new information was learned, and whether the +remaining plan is still valid. + +This is NOT an error detector — it runs on every step, including successes, +to incorporate runtime observations into the remaining plan. + +Refinements are structured (StepRefinement objects) and applied directly +from the observation result — no second LLM call required. +""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING, Any + +from crewai.events.event_bus import crewai_event_bus +from crewai.events.types.observation_events import ( + StepObservationCompletedEvent, + StepObservationFailedEvent, + StepObservationStartedEvent, +) +from crewai.utilities.agent_utils import extract_task_section +from crewai.utilities.i18n import I18N, get_i18n +from crewai.utilities.llm_utils import create_llm +from crewai.utilities.planning_types import StepObservation, TodoItem +from crewai.utilities.types import LLMMessage + + +if TYPE_CHECKING: + from crewai.agent import Agent + from crewai.task import Task + +logger = logging.getLogger(__name__) + + +class PlannerObserver: + """Observes step execution results and decides on plan continuation. + + After EVERY step execution, this class: + 1. Analyzes what the step accomplished + 2. Identifies new information learned + 3. Decides if the remaining plan is still valid + 4. Suggests lightweight refinements or triggers full replanning + + LLM resolution (magical fallback): + - If ``agent.planning_config.llm`` is explicitly set → use that + - Otherwise → fall back to ``agent.llm`` (same LLM for everything) + + Args: + agent: The agent instance (for LLM resolution and config). + task: Optional task context (for description and expected output). + """ + + def __init__( + self, + agent: Agent, + task: Task | None = None, + kickoff_input: str = "", + ) -> None: + self.agent = agent + self.task = task + self.kickoff_input = kickoff_input + self.llm = self._resolve_llm() + self._i18n: I18N = get_i18n() + + def _resolve_llm(self) -> Any: + """Resolve which LLM to use for observation/planning. + + Mirrors AgentReasoning._resolve_llm(): uses planning_config.llm + if explicitly set, otherwise falls back to agent.llm. + + Returns: + The resolved LLM instance. + """ + from crewai.llm import LLM + + config = getattr(self.agent, "planning_config", None) + if config is not None and config.llm is not None: + if isinstance(config.llm, LLM): + return config.llm + return create_llm(config.llm) + return self.agent.llm + + # ------------------------------------------------------------------ + # Public API + # ------------------------------------------------------------------ + + def observe( + self, + completed_step: TodoItem, + result: str, + all_completed: list[TodoItem], + remaining_todos: list[TodoItem], + ) -> StepObservation: + """Observe a step's result and decide on plan continuation. + + This runs after EVERY step execution — not just failures. + + Args: + completed_step: The todo item that was just executed. + result: The final result string from the step. + all_completed: All previously completed todos (for context). + remaining_todos: The pending todos still in the plan. + + Returns: + StepObservation with the Planner's analysis. Any suggested + refinements are structured StepRefinement objects ready for + direct application — no second LLM call needed. + """ + agent_role = self.agent.role + + crewai_event_bus.emit( + self.agent, + event=StepObservationStartedEvent( + agent_role=agent_role, + step_number=completed_step.step_number, + step_description=completed_step.description, + from_task=self.task, + from_agent=self.agent, + ), + ) + + messages = self._build_observation_messages( + completed_step, result, all_completed, remaining_todos + ) + + try: + response = self.llm.call( + messages, + response_model=StepObservation, + from_task=self.task, + from_agent=self.agent, + ) + + observation = self._parse_observation_response(response) + + refinement_summaries = ( + [ + f"Step {r.step_number}: {r.new_description}" + for r in observation.suggested_refinements + ] + if observation.suggested_refinements + else None + ) + + crewai_event_bus.emit( + self.agent, + event=StepObservationCompletedEvent( + agent_role=agent_role, + step_number=completed_step.step_number, + step_description=completed_step.description, + step_completed_successfully=observation.step_completed_successfully, + key_information_learned=observation.key_information_learned, + remaining_plan_still_valid=observation.remaining_plan_still_valid, + needs_full_replan=observation.needs_full_replan, + replan_reason=observation.replan_reason, + goal_already_achieved=observation.goal_already_achieved, + suggested_refinements=refinement_summaries, + from_task=self.task, + from_agent=self.agent, + ), + ) + + return observation + + except Exception as e: + logger.warning( + f"Observation LLM call failed: {e}. Defaulting to conservative replan." + ) + + crewai_event_bus.emit( + self.agent, + event=StepObservationFailedEvent( + agent_role=agent_role, + step_number=completed_step.step_number, + step_description=completed_step.description, + error=str(e), + from_task=self.task, + from_agent=self.agent, + ), + ) + + # Don't force a full replan — the step may have succeeded even if the + # observer LLM failed to parse the result. Defaulting to "continue" is + # far less disruptive than wiping the entire plan on every observer error. + return StepObservation( + step_completed_successfully=True, + key_information_learned="", + remaining_plan_still_valid=True, + needs_full_replan=False, + ) + + def apply_refinements( + self, + observation: StepObservation, + remaining_todos: list[TodoItem], + ) -> list[TodoItem]: + """Apply structured refinements from the observation directly to todo descriptions. + + No LLM call needed — refinements are already structured StepRefinement + objects produced by the observation call. This is a pure in-memory update. + + Args: + observation: The observation containing structured refinements. + remaining_todos: The pending todos to update in-place. + + Returns: + The same todo list with updated descriptions where refinements applied. + """ + if not observation.suggested_refinements: + return remaining_todos + + todo_by_step: dict[int, TodoItem] = {t.step_number: t for t in remaining_todos} + for refinement in observation.suggested_refinements: + if refinement.step_number in todo_by_step and refinement.new_description: + todo_by_step[ + refinement.step_number + ].description = refinement.new_description + + return remaining_todos + + # ------------------------------------------------------------------ + # Internal: Message building + # ------------------------------------------------------------------ + + def _build_observation_messages( + self, + completed_step: TodoItem, + result: str, + all_completed: list[TodoItem], + remaining_todos: list[TodoItem], + ) -> list[LLMMessage]: + """Build messages for the observation LLM call.""" + task_desc = "" + task_goal = "" + if self.task: + task_desc = self.task.description or "" + task_goal = self.task.expected_output or "" + elif self.kickoff_input: + # Standalone kickoff path — no Task object, but we have the raw input. + # Extract just the ## Task section so the observer sees the actual goal, + # not the full enriched instruction with env/tools/verification noise. + task_desc = extract_task_section(self.kickoff_input) + task_goal = "Complete the task successfully" + + system_prompt = self._i18n.retrieve("planning", "observation_system_prompt") + + # Build context of what's been done + completed_summary = "" + if all_completed: + completed_lines = [] + for todo in all_completed: + result_preview = (todo.result or "")[:200] + completed_lines.append( + f" Step {todo.step_number}: {todo.description}\n" + f" Result: {result_preview}" + ) + completed_summary = "\n## Previously completed steps:\n" + "\n".join( + completed_lines + ) + + # Build remaining plan + remaining_summary = "" + if remaining_todos: + remaining_lines = [ + f" Step {todo.step_number}: {todo.description}" + for todo in remaining_todos + ] + remaining_summary = "\n## Remaining plan steps:\n" + "\n".join( + remaining_lines + ) + + user_prompt = self._i18n.retrieve("planning", "observation_user_prompt").format( + task_description=task_desc, + task_goal=task_goal, + completed_summary=completed_summary, + step_number=completed_step.step_number, + step_description=completed_step.description, + step_result=result, + remaining_summary=remaining_summary, + ) + + return [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt}, + ] + + @staticmethod + def _parse_observation_response(response: Any) -> StepObservation: + """Parse the LLM response into a StepObservation. + + The LLM may return: + - A StepObservation instance directly (streaming + litellm path) + - A JSON string (non-streaming path serialises model_dump_json()) + - A dict (some provider paths) + - Something else (unexpected) + + We handle all cases to avoid silently falling back to a + hardcoded success default. + """ + + if isinstance(response, StepObservation): + return response + + # JSON string path — most common miss before this fix + if isinstance(response, str): + text = response.strip() + try: + return StepObservation.model_validate_json(text) + except Exception: # noqa: S110 + pass + # Some LLMs wrap the JSON in markdown fences + if text.startswith("```"): + lines = text.split("\n") + # Strip first and last lines (``` markers) + inner = "\n".join( + lines[1:-1] if lines[-1].strip() == "```" else lines[1:] + ) + try: + return StepObservation.model_validate_json(inner.strip()) + except Exception: # noqa: S110 + pass + + # Dict path + if isinstance(response, dict): + try: + return StepObservation.model_validate(response) + except Exception: # noqa: S110 + pass + + # Last resort — log what we got so it's diagnosable + logger.warning( + "Could not parse observation response (type=%s). " + "Falling back to default failure observation. Preview: %.200s", + type(response).__name__, + str(response), + ) + return StepObservation( + step_completed_successfully=False, + key_information_learned=str(response) if response else "", + remaining_plan_still_valid=False, + ) diff --git a/lib/crewai/src/crewai/agents/step_executor.py b/lib/crewai/src/crewai/agents/step_executor.py new file mode 100644 index 000000000..dad13afa2 --- /dev/null +++ b/lib/crewai/src/crewai/agents/step_executor.py @@ -0,0 +1,629 @@ +"""StepExecutor: Isolated executor for a single plan step. + +Implements the direct-action execution pattern from Plan-and-Act +(arxiv 2503.09572): the Executor receives one step description, +makes a single LLM call, executes any tool call returned, and +returns the result immediately. + +There is no inner loop. Recovery from failure (retry, replan) is +the responsibility of PlannerObserver and AgentExecutor — keeping +this class single-purpose and fast. +""" + +from __future__ import annotations + +from collections.abc import Callable +from datetime import datetime +import json +import time +from typing import TYPE_CHECKING, Any, cast + +from pydantic import BaseModel + +from crewai.agents.parser import AgentAction, AgentFinish +from crewai.events.event_bus import crewai_event_bus +from crewai.events.types.tool_usage_events import ( + ToolUsageErrorEvent, + ToolUsageFinishedEvent, + ToolUsageStartedEvent, +) +from crewai.utilities.agent_utils import ( + build_tool_calls_assistant_message, + check_native_tool_support, + enforce_rpm_limit, + execute_single_native_tool_call, + extract_task_section, + format_message_for_llm, + is_tool_call_list, + process_llm_response, + setup_native_tools, +) +from crewai.utilities.i18n import I18N, get_i18n +from crewai.utilities.planning_types import TodoItem +from crewai.utilities.printer import Printer +from crewai.utilities.step_execution_context import StepExecutionContext, StepResult +from crewai.utilities.string_utils import sanitize_tool_name +from crewai.utilities.tool_utils import execute_tool_and_check_finality +from crewai.utilities.types import LLMMessage + + +if TYPE_CHECKING: + from crewai.agent import Agent + from crewai.agents.tools_handler import ToolsHandler + from crewai.crew import Crew + from crewai.llms.base_llm import BaseLLM + from crewai.task import Task + from crewai.tools.base_tool import BaseTool + from crewai.tools.structured_tool import CrewStructuredTool + + +class StepExecutor: + """Executes a SINGLE todo item using direct-action execution. + + The StepExecutor owns its own message list per invocation. It never reads + or writes the AgentExecutor's state. Results flow back via StepResult. + + Execution pattern (per Plan-and-Act, arxiv 2503.09572): + 1. Build messages from todo + context + 2. Call LLM once (with or without native tools) + 3. If tool call → execute it → return tool result + 4. If text answer → return it directly + No inner loop — recovery is PlannerObserver's responsibility. + + Args: + llm: The language model to use for execution. + tools: Structured tools available to the executor. + agent: The agent instance (for role/goal/verbose/config). + original_tools: Original BaseTool instances (needed for native tool schema). + tools_handler: Optional tools handler for caching and delegation tracking. + task: Optional task context. + crew: Optional crew context. + function_calling_llm: Optional separate LLM for function calling. + request_within_rpm_limit: Optional RPM limit function. + callbacks: Optional list of callbacks. + i18n: Optional i18n instance. + """ + + def __init__( + self, + llm: BaseLLM, + tools: list[CrewStructuredTool], + agent: Agent, + original_tools: list[BaseTool] | None = None, + tools_handler: ToolsHandler | None = None, + task: Task | None = None, + crew: Crew | None = None, + function_calling_llm: BaseLLM | None = None, + request_within_rpm_limit: Callable[[], bool] | None = None, + callbacks: list[Any] | None = None, + i18n: I18N | None = None, + ) -> None: + self.llm = llm + self.tools = tools + self.agent = agent + self.original_tools = original_tools or [] + self.tools_handler = tools_handler + self.task = task + self.crew = crew + self.function_calling_llm = function_calling_llm + self.request_within_rpm_limit = request_within_rpm_limit + self.callbacks = callbacks or [] + self._i18n: I18N = i18n or get_i18n() + self._printer: Printer = Printer() + + # Native tool support — set up once + self._use_native_tools = check_native_tool_support( + self.llm, self.original_tools + ) + self._openai_tools: list[dict[str, Any]] = [] + self._available_functions: dict[str, Callable[..., Any]] = {} + if self._use_native_tools and self.original_tools: + ( + self._openai_tools, + self._available_functions, + _, + ) = setup_native_tools(self.original_tools) + + # ------------------------------------------------------------------ + # Public API + # ------------------------------------------------------------------ + + def execute( + self, + todo: TodoItem, + context: StepExecutionContext, + max_step_iterations: int = 15, + step_timeout: int | None = None, + ) -> StepResult: + """Execute a single todo item using a multi-turn action loop. + + Enforces the RPM limit, builds a fresh message list, then iterates + LLM call → tool execution → observation until the LLM signals it is + done (text answer) or max_step_iterations is reached. Never touches + external AgentExecutor state. + + Args: + todo: The todo item to execute. + context: Immutable context with task info and dependency results. + max_step_iterations: Maximum LLM iterations in the multi-turn loop. + step_timeout: Maximum wall-clock seconds for this step. None = no limit. + + Returns: + StepResult with the outcome. + """ + start_time = time.monotonic() + tool_calls_made: list[str] = [] + + try: + enforce_rpm_limit(self.request_within_rpm_limit) + messages = self._build_isolated_messages(todo, context) + + if self._use_native_tools: + result_text = self._execute_native( + messages, + tool_calls_made, + max_step_iterations=max_step_iterations, + step_timeout=step_timeout, + start_time=start_time, + ) + else: + result_text = self._execute_text_parsed( + messages, + tool_calls_made, + max_step_iterations=max_step_iterations, + step_timeout=step_timeout, + start_time=start_time, + ) + self._validate_expected_tool_usage(todo, tool_calls_made) + + elapsed = time.monotonic() - start_time + return StepResult( + success=True, + result=result_text, + tool_calls_made=tool_calls_made, + execution_time=elapsed, + ) + except Exception as e: + elapsed = time.monotonic() - start_time + return StepResult( + success=False, + result="", + error=str(e), + tool_calls_made=tool_calls_made, + execution_time=elapsed, + ) + + # ------------------------------------------------------------------ + # Internal: Message building + # ------------------------------------------------------------------ + + def _build_isolated_messages( + self, todo: TodoItem, context: StepExecutionContext + ) -> list[LLMMessage]: + """Build a fresh message list for this step's execution. + + System prompt tells the LLM it is an Executor focused on one step. + User prompt provides the step description, dependencies, and tools. + """ + system_prompt = self._build_system_prompt() + user_prompt = self._build_user_prompt(todo, context) + + return [ + format_message_for_llm(system_prompt, role="system"), + format_message_for_llm(user_prompt, role="user"), + ] + + def _build_system_prompt(self) -> str: + """Build the Executor's system prompt.""" + role = self.agent.role if self.agent else "Assistant" + goal = self.agent.goal if self.agent else "Complete tasks efficiently" + backstory = getattr(self.agent, "backstory", "") or "" + + tools_section = "" + if self.tools and not self._use_native_tools: + tool_names = ", ".join(sanitize_tool_name(t.name) for t in self.tools) + tools_section = self._i18n.retrieve( + "planning", "step_executor_tools_section" + ).format(tool_names=tool_names) + elif self.tools: + tool_names = ", ".join(sanitize_tool_name(t.name) for t in self.tools) + tools_section = f"\n\nAvailable tools: {tool_names}" + + return self._i18n.retrieve("planning", "step_executor_system_prompt").format( + role=role, + backstory=backstory, + goal=goal, + tools_section=tools_section, + ) + + def _build_user_prompt(self, todo: TodoItem, context: StepExecutionContext) -> str: + """Build the user prompt for this specific step.""" + parts: list[str] = [] + + # Include overall task context so the executor knows the full goal and + # required output format/location — critical for knowing WHAT to produce. + # We extract only the task body (not tool instructions or verification + # sections) to avoid duplicating directives already in the system prompt. + if context.task_description: + task_section = extract_task_section(context.task_description) + if task_section: + parts.append( + self._i18n.retrieve( + "planning", "step_executor_task_context" + ).format( + task_context=task_section, + ) + ) + + parts.append( + self._i18n.retrieve("planning", "step_executor_user_prompt").format( + step_description=todo.description, + ) + ) + + if todo.tool_to_use: + parts.append( + self._i18n.retrieve("planning", "step_executor_suggested_tool").format( + tool_to_use=todo.tool_to_use, + ) + ) + + # Include dependency results (final results only, no traces) + if context.dependency_results: + parts.append( + self._i18n.retrieve("planning", "step_executor_context_header") + ) + for step_num, result in sorted(context.dependency_results.items()): + parts.append( + self._i18n.retrieve( + "planning", "step_executor_context_entry" + ).format(step_number=step_num, result=result) + ) + + parts.append(self._i18n.retrieve("planning", "step_executor_complete_step")) + + return "\n".join(parts) + + # ------------------------------------------------------------------ + # Internal: Multi-turn execution loop + # ------------------------------------------------------------------ + + def _execute_text_parsed( + self, + messages: list[LLMMessage], + tool_calls_made: list[str], + max_step_iterations: int = 15, + step_timeout: int | None = None, + start_time: float | None = None, + ) -> str: + """Execute step using text-parsed tool calling with a multi-turn loop. + + Iterates LLM call → tool execution → observation until the LLM + produces a Final Answer or max_step_iterations is reached. + This allows the agent to: run a command, see the output, adjust its + approach, and run another command — all within a single plan step. + """ + use_stop_words = self.llm.supports_stop_words() if self.llm else False + last_tool_result = "" + + for _ in range(max_step_iterations): + # Check step timeout + if step_timeout and start_time: + elapsed = time.monotonic() - start_time + if elapsed >= step_timeout: + return last_tool_result or f"Step timed out after {elapsed:.0f}s" + answer = self.llm.call( + messages, + callbacks=self.callbacks, + from_task=self.task, + from_agent=self.agent, + ) + + if not answer: + raise ValueError("Empty response from LLM") + + answer_str = str(answer) + formatted = process_llm_response(answer_str, use_stop_words) + + if isinstance(formatted, AgentFinish): + return str(formatted.output) + + if isinstance(formatted, AgentAction): + tool_calls_made.append(formatted.tool) + tool_result = self._execute_text_tool_with_events(formatted) + last_tool_result = tool_result + # Append the assistant's reasoning + action, then the observation. + # _build_observation_message handles vision sentinels so the LLM + # receives an image content block instead of raw base64 text. + messages.append({"role": "assistant", "content": answer_str}) + messages.append(self._build_observation_message(tool_result)) + continue + + # Raw text response with no Final Answer marker — treat as done + return answer_str + + # Max iterations reached — return the last tool result we accumulated + return last_tool_result + + def _execute_text_tool_with_events(self, formatted: AgentAction) -> str: + """Execute text-parsed tool calls with tool usage events.""" + args_dict = self._parse_tool_args(formatted.tool_input) + agent_key = getattr(self.agent, "key", "unknown") if self.agent else "unknown" + started_at = datetime.now() + crewai_event_bus.emit( + self, + event=ToolUsageStartedEvent( + tool_name=formatted.tool, + tool_args=args_dict, + from_agent=self.agent, + from_task=self.task, + agent_key=agent_key, + ), + ) + + try: + fingerprint_context = {} + if ( + self.agent + and hasattr(self.agent, "security_config") + and hasattr(self.agent.security_config, "fingerprint") + ): + fingerprint_context = { + "agent_fingerprint": str(self.agent.security_config.fingerprint) + } + + tool_result = execute_tool_and_check_finality( + agent_action=formatted, + fingerprint_context=fingerprint_context, + tools=self.tools, + i18n=self._i18n, + agent_key=self.agent.key if self.agent else None, + agent_role=self.agent.role if self.agent else None, + tools_handler=self.tools_handler, + task=self.task, + agent=self.agent, + function_calling_llm=self.function_calling_llm, + crew=self.crew, + ) + except Exception as e: + crewai_event_bus.emit( + self, + event=ToolUsageErrorEvent( + tool_name=formatted.tool, + tool_args=args_dict, + from_agent=self.agent, + from_task=self.task, + agent_key=agent_key, + error=e, + ), + ) + raise + + crewai_event_bus.emit( + self, + event=ToolUsageFinishedEvent( + output=str(tool_result.result), + tool_name=formatted.tool, + tool_args=args_dict, + from_agent=self.agent, + from_task=self.task, + agent_key=agent_key, + started_at=started_at, + finished_at=datetime.now(), + ), + ) + return str(tool_result.result) + + def _parse_tool_args(self, tool_input: Any) -> dict[str, Any]: + """Parse tool args from the parser output into a dict payload for events.""" + if isinstance(tool_input, dict): + return tool_input + if isinstance(tool_input, str): + stripped_input = tool_input.strip() + if not stripped_input: + return {} + try: + parsed = json.loads(stripped_input) + if isinstance(parsed, dict): + return parsed + return {"input": parsed} + except json.JSONDecodeError: + return {"input": stripped_input} + return {"input": str(tool_input)} + + # ------------------------------------------------------------------ + # Internal: Vision support + # ------------------------------------------------------------------ + + @staticmethod + def _parse_vision_sentinel(raw: str) -> tuple[str, str] | None: + """Parse a VISION_IMAGE sentinel into (media_type, base64_data), or None.""" + prefix = "VISION_IMAGE:" + if not raw.startswith(prefix): + return None + rest = raw[len(prefix) :] + sep = rest.find(":") + if sep <= 0: + return None + return rest[:sep], rest[sep + 1 :] + + @staticmethod + def _build_observation_message(tool_result: str) -> LLMMessage: + """Build an observation message, converting vision sentinels to image blocks. + + When a tool returns a VISION_IMAGE sentinel (e.g. from read_image), + we build a multimodal content block so the LLM can actually *see* + the image rather than receiving a wall of base64 text. + + Uses the standard image_url / data-URI format so each LLM provider's + SDK (OpenAI, LiteLLM, etc.) handles the provider-specific conversion. + + Format: ``VISION_IMAGE::`` + """ + parsed = StepExecutor._parse_vision_sentinel(tool_result) + if parsed: + media_type, b64_data = parsed + return { + "role": "user", + "content": [ + {"type": "text", "text": "Observation: Here is the image:"}, + { + "type": "image_url", + "image_url": { + "url": f"data:{media_type};base64,{b64_data}", + }, + }, + ], + } + return {"role": "user", "content": f"Observation: {tool_result}"} + + def _validate_expected_tool_usage( + self, + todo: TodoItem, + tool_calls_made: list[str], + ) -> None: + """Fail step execution when a required tool is configured but not called.""" + expected_tool = getattr(todo, "tool_to_use", None) + if not expected_tool: + return + expected_tool_name = sanitize_tool_name(expected_tool) + available_tool_names = { + sanitize_tool_name(tool.name) + for tool in self.tools + if getattr(tool, "name", "") + } | set(self._available_functions.keys()) + if expected_tool_name not in available_tool_names: + return + called_names = {sanitize_tool_name(name) for name in tool_calls_made} + if expected_tool_name not in called_names: + raise ValueError( + f"Expected tool '{expected_tool_name}' was not called " + f"for step {todo.step_number}." + ) + + def _execute_native( + self, + messages: list[LLMMessage], + tool_calls_made: list[str], + max_step_iterations: int = 15, + step_timeout: int | None = None, + start_time: float | None = None, + ) -> str: + """Execute step using native function calling with a multi-turn loop. + + Iterates LLM call → tool execution → appended results until the LLM + returns a text answer (no more tool calls) or max_step_iterations is + reached. This lets the agent run a shell command, observe the output, + correct mistakes, and issue follow-up commands — all within one step. + """ + accumulated_results: list[str] = [] + + for _ in range(max_step_iterations): + # Check step timeout + if step_timeout and start_time: + elapsed = time.monotonic() - start_time + if elapsed >= step_timeout: + return ( + "\n\n".join(accumulated_results) + if accumulated_results + else f"Step timed out after {elapsed:.0f}s" + ) + answer = self.llm.call( + messages, + tools=self._openai_tools, + callbacks=self.callbacks, + from_task=self.task, + from_agent=self.agent, + ) + + if not answer: + raise ValueError("Empty response from LLM") + + if isinstance(answer, BaseModel): + return answer.model_dump_json() + + if isinstance(answer, list) and answer and is_tool_call_list(answer): + # _execute_native_tool_calls appends assistant + tool messages + # to `messages` as a side-effect, so the next LLM call will + # see the full conversation history including tool outputs. + result = self._execute_native_tool_calls( + answer, messages, tool_calls_made + ) + accumulated_results.append(result) + continue + + # Text answer → LLM decided the step is done + return str(answer) + + # Max iterations reached — return everything we accumulated + return "\n".join(filter(None, accumulated_results)) + + def _execute_native_tool_calls( + self, + tool_calls: list[Any], + messages: list[LLMMessage], + tool_calls_made: list[str], + ) -> str: + """Execute a batch of native tool calls and return their results. + + Returns the result of the first tool marked result_as_answer if any, + otherwise returns all tool results concatenated. + """ + assistant_message, _reports = build_tool_calls_assistant_message(tool_calls) + if assistant_message: + messages.append(assistant_message) + + tool_results: list[str] = [] + for tool_call in tool_calls: + call_result = execute_single_native_tool_call( + tool_call, + available_functions=self._available_functions, + original_tools=self.original_tools, + structured_tools=self.tools, + tools_handler=self.tools_handler, + agent=self.agent, + task=self.task, + crew=self.crew, + event_source=self, + printer=self._printer, + verbose=bool(self.agent and self.agent.verbose), + ) + + if call_result.func_name: + tool_calls_made.append(call_result.func_name) + + if call_result.result_as_answer: + return str(call_result.result) + + if call_result.tool_message: + raw_content = call_result.tool_message.get("content", "") + if isinstance(raw_content, str): + parsed = self._parse_vision_sentinel(raw_content) + if parsed: + media_type, b64_data = parsed + # Replace the sentinel with a standard image_url content block. + # Each provider's _format_messages handles conversion to + # its native format (e.g. Anthropic image blocks). + modified: LLMMessage = cast( + LLMMessage, dict(call_result.tool_message) + ) + modified["content"] = [ + { + "type": "image_url", + "image_url": { + "url": f"data:{media_type};base64,{b64_data}", + }, + } + ] + messages.append(modified) + tool_results.append("[image]") + else: + messages.append(call_result.tool_message) + if raw_content: + tool_results.append(raw_content) + else: + messages.append(call_result.tool_message) + if raw_content: + tool_results.append(str(raw_content)) + + return "\n".join(tool_results) if tool_results else "" diff --git a/lib/crewai/src/crewai/events/event_listener.py b/lib/crewai/src/crewai/events/event_listener.py index 09dc25316..c4b514f7c 100644 --- a/lib/crewai/src/crewai/events/event_listener.py +++ b/lib/crewai/src/crewai/events/event_listener.py @@ -75,6 +75,14 @@ from crewai.events.types.mcp_events import ( MCPToolExecutionFailedEvent, MCPToolExecutionStartedEvent, ) +from crewai.events.types.observation_events import ( + GoalAchievedEarlyEvent, + PlanRefinementEvent, + PlanReplanTriggeredEvent, + StepObservationCompletedEvent, + StepObservationFailedEvent, + StepObservationStartedEvent, +) from crewai.events.types.reasoning_events import ( AgentReasoningCompletedEvent, AgentReasoningFailedEvent, @@ -535,6 +543,64 @@ class EventListener(BaseEventListener): event.error, ) + # ----------- OBSERVATION EVENTS (Plan-and-Execute) ----------- + + @crewai_event_bus.on(StepObservationStartedEvent) + def on_step_observation_started( + _: Any, event: StepObservationStartedEvent + ) -> None: + self.formatter.handle_observation_started( + event.agent_role, + event.step_number, + event.step_description, + ) + + @crewai_event_bus.on(StepObservationCompletedEvent) + def on_step_observation_completed( + _: Any, event: StepObservationCompletedEvent + ) -> None: + self.formatter.handle_observation_completed( + event.agent_role, + event.step_number, + event.step_completed_successfully, + event.remaining_plan_still_valid, + event.key_information_learned, + event.needs_full_replan, + event.goal_already_achieved, + ) + + @crewai_event_bus.on(StepObservationFailedEvent) + def on_step_observation_failed( + _: Any, event: StepObservationFailedEvent + ) -> None: + self.formatter.handle_observation_failed( + event.step_number, + event.error, + ) + + @crewai_event_bus.on(PlanRefinementEvent) + def on_plan_refinement(_: Any, event: PlanRefinementEvent) -> None: + self.formatter.handle_plan_refinement( + event.step_number, + event.refined_step_count, + event.refinements, + ) + + @crewai_event_bus.on(PlanReplanTriggeredEvent) + def on_plan_replan_triggered(_: Any, event: PlanReplanTriggeredEvent) -> None: + self.formatter.handle_plan_replan( + event.replan_reason, + event.replan_count, + event.completed_steps_preserved, + ) + + @crewai_event_bus.on(GoalAchievedEarlyEvent) + def on_goal_achieved_early(_: Any, event: GoalAchievedEarlyEvent) -> None: + self.formatter.handle_goal_achieved_early( + event.steps_completed, + event.steps_remaining, + ) + # ----------- AGENT LOGGING EVENTS ----------- @crewai_event_bus.on(AgentLogsStartedEvent) diff --git a/lib/crewai/src/crewai/events/listeners/tracing/trace_listener.py b/lib/crewai/src/crewai/events/listeners/tracing/trace_listener.py index 0e4d7d8a2..b022eb582 100644 --- a/lib/crewai/src/crewai/events/listeners/tracing/trace_listener.py +++ b/lib/crewai/src/crewai/events/listeners/tracing/trace_listener.py @@ -93,6 +93,14 @@ from crewai.events.types.memory_events import ( MemorySaveFailedEvent, MemorySaveStartedEvent, ) +from crewai.events.types.observation_events import ( + GoalAchievedEarlyEvent, + PlanRefinementEvent, + PlanReplanTriggeredEvent, + StepObservationCompletedEvent, + StepObservationFailedEvent, + StepObservationStartedEvent, +) from crewai.events.types.reasoning_events import ( AgentReasoningCompletedEvent, AgentReasoningFailedEvent, @@ -437,6 +445,39 @@ class TraceCollectionListener(BaseEventListener): ) -> None: self._handle_action_event("agent_reasoning_failed", source, event) + # Observation events (Plan-and-Execute) + @event_bus.on(StepObservationStartedEvent) + def on_step_observation_started( + source: Any, event: StepObservationStartedEvent + ) -> None: + self._handle_action_event("step_observation_started", source, event) + + @event_bus.on(StepObservationCompletedEvent) + def on_step_observation_completed( + source: Any, event: StepObservationCompletedEvent + ) -> None: + self._handle_action_event("step_observation_completed", source, event) + + @event_bus.on(StepObservationFailedEvent) + def on_step_observation_failed( + source: Any, event: StepObservationFailedEvent + ) -> None: + self._handle_action_event("step_observation_failed", source, event) + + @event_bus.on(PlanRefinementEvent) + def on_plan_refinement(source: Any, event: PlanRefinementEvent) -> None: + self._handle_action_event("plan_refinement", source, event) + + @event_bus.on(PlanReplanTriggeredEvent) + def on_plan_replan_triggered( + source: Any, event: PlanReplanTriggeredEvent + ) -> None: + self._handle_action_event("plan_replan_triggered", source, event) + + @event_bus.on(GoalAchievedEarlyEvent) + def on_goal_achieved_early(source: Any, event: GoalAchievedEarlyEvent) -> None: + self._handle_action_event("goal_achieved_early", source, event) + @event_bus.on(KnowledgeRetrievalStartedEvent) def on_knowledge_retrieval_started( source: Any, event: KnowledgeRetrievalStartedEvent diff --git a/lib/crewai/src/crewai/events/types/observation_events.py b/lib/crewai/src/crewai/events/types/observation_events.py new file mode 100644 index 000000000..2c95f3ae0 --- /dev/null +++ b/lib/crewai/src/crewai/events/types/observation_events.py @@ -0,0 +1,99 @@ +"""Observation events for the Plan-and-Execute architecture. + +Emitted during the Observation phase (PLAN-AND-ACT Section 3.3) when the +PlannerObserver analyzes step execution results and decides on plan +continuation, refinement, or replanning. +""" + +from typing import Any + +from crewai.events.base_events import BaseEvent + + +class ObservationEvent(BaseEvent): + """Base event for observation phase events.""" + + type: str + agent_role: str + step_number: int + step_description: str = "" + from_task: Any | None = None + from_agent: Any | None = None + + def __init__(self, **data: Any) -> None: + super().__init__(**data) + self._set_task_params(data) + self._set_agent_params(data) + + +class StepObservationStartedEvent(ObservationEvent): + """Emitted when the Planner begins observing a step's result. + + Fires after every step execution, before the observation LLM call. + """ + + type: str = "step_observation_started" + + +class StepObservationCompletedEvent(ObservationEvent): + """Emitted when the Planner finishes observing a step's result. + + Contains the full observation analysis: what was learned, whether + the plan is still valid, and what action to take next. + """ + + type: str = "step_observation_completed" + step_completed_successfully: bool = True + key_information_learned: str = "" + remaining_plan_still_valid: bool = True + needs_full_replan: bool = False + replan_reason: str | None = None + goal_already_achieved: bool = False + suggested_refinements: list[str] | None = None + + +class StepObservationFailedEvent(ObservationEvent): + """Emitted when the observation LLM call itself fails. + + The system defaults to continuing the plan when this happens, + but the event allows monitoring/alerting on observation failures. + """ + + type: str = "step_observation_failed" + error: str = "" + + +class PlanRefinementEvent(ObservationEvent): + """Emitted when the Planner refines upcoming step descriptions. + + This is the lightweight refinement path — no full replan, just + sharpening pending todo descriptions based on new information. + """ + + type: str = "plan_refinement" + refined_step_count: int = 0 + refinements: list[str] | None = None + + +class PlanReplanTriggeredEvent(ObservationEvent): + """Emitted when the Planner triggers a full replan. + + The remaining plan was deemed fundamentally wrong and will be + regenerated from scratch, preserving completed step results. + """ + + type: str = "plan_replan_triggered" + replan_reason: str = "" + replan_count: int = 0 + completed_steps_preserved: int = 0 + + +class GoalAchievedEarlyEvent(ObservationEvent): + """Emitted when the Planner detects the goal was achieved early. + + Remaining steps will be skipped and execution will finalize. + """ + + type: str = "goal_achieved_early" + steps_remaining: int = 0 + steps_completed: int = 0 diff --git a/lib/crewai/src/crewai/events/types/reasoning_events.py b/lib/crewai/src/crewai/events/types/reasoning_events.py index 53ac47b07..7b61d69f7 100644 --- a/lib/crewai/src/crewai/events/types/reasoning_events.py +++ b/lib/crewai/src/crewai/events/types/reasoning_events.py @@ -9,7 +9,7 @@ class ReasoningEvent(BaseEvent): type: str attempt: int = 1 agent_role: str - task_id: str + task_id: str | None = None task_name: str | None = None from_task: Any | None = None agent_id: str | None = None diff --git a/lib/crewai/src/crewai/events/utils/console_formatter.py b/lib/crewai/src/crewai/events/utils/console_formatter.py index a3019ffcf..0984406e9 100644 --- a/lib/crewai/src/crewai/events/utils/console_formatter.py +++ b/lib/crewai/src/crewai/events/utils/console_formatter.py @@ -941,6 +941,152 @@ To enable tracing, do any one of these: ) self.print_panel(error_content, "❌ Reasoning Error", "red") + # ----------- OBSERVATION EVENTS (Plan-and-Execute) ----------- + + def handle_observation_started( + self, + agent_role: str, + step_number: int, + step_description: str, + ) -> None: + """Handle step observation started event.""" + if not self.verbose: + return + + content = Text() + content.append("Observation Started\n", style="cyan bold") + content.append("Agent: ", style="white") + content.append(f"{agent_role}\n", style="cyan") + content.append("Step: ", style="white") + content.append(f"{step_number}\n", style="cyan") + if step_description: + desc_preview = step_description[:80] + ( + "..." if len(step_description) > 80 else "" + ) + content.append("Description: ", style="white") + content.append(f"{desc_preview}\n", style="cyan") + + self.print_panel(content, "🔍 Observing Step Result", "cyan") + + def handle_observation_completed( + self, + agent_role: str, + step_number: int, + step_completed: bool, + plan_valid: bool, + key_info: str, + needs_replan: bool, + goal_achieved: bool, + ) -> None: + """Handle step observation completed event.""" + if not self.verbose: + return + + if goal_achieved: + style = "green" + status = "Goal Achieved Early" + elif needs_replan: + style = "yellow" + status = "Replan Needed" + elif plan_valid: + style = "green" + status = "Plan Valid — Continue" + else: + style = "red" + status = "Step Failed" + + content = Text() + content.append("Observation Complete\n", style=f"{style} bold") + content.append("Step: ", style="white") + content.append(f"{step_number}\n", style=style) + content.append("Status: ", style="white") + content.append(f"{status}\n", style=style) + if key_info: + info_preview = key_info[:120] + ("..." if len(key_info) > 120 else "") + content.append("Learned: ", style="white") + content.append(f"{info_preview}\n", style=style) + + self.print_panel(content, "🔍 Observation Result", style) + + def handle_observation_failed( + self, + step_number: int, + error: str, + ) -> None: + """Handle step observation failure event.""" + if not self.verbose: + return + + error_content = self.create_status_content( + "Observation Failed", + "Error", + "red", + Step=str(step_number), + Error=error, + ) + self.print_panel(error_content, "❌ Observation Error", "red") + + def handle_plan_refinement( + self, + step_number: int, + refined_count: int, + refinements: list[str] | None, + ) -> None: + """Handle plan refinement event.""" + if not self.verbose: + return + + content = Text() + content.append("Plan Refined\n", style="cyan bold") + content.append("After Step: ", style="white") + content.append(f"{step_number}\n", style="cyan") + content.append("Steps Updated: ", style="white") + content.append(f"{refined_count}\n", style="cyan") + if refinements: + for r in refinements[:3]: + content.append(f" • {r[:80]}\n", style="white") + + self.print_panel(content, "✏️ Plan Refinement", "cyan") + + def handle_plan_replan( + self, + reason: str, + replan_count: int, + preserved_count: int, + ) -> None: + """Handle plan replan triggered event.""" + if not self.verbose: + return + + content = Text() + content.append("Full Replan Triggered\n", style="yellow bold") + content.append("Reason: ", style="white") + content.append(f"{reason}\n", style="yellow") + content.append("Replan #: ", style="white") + content.append(f"{replan_count}\n", style="yellow") + content.append("Preserved Steps: ", style="white") + content.append(f"{preserved_count}\n", style="yellow") + + self.print_panel(content, "🔄 Dynamic Replan", "yellow") + + def handle_goal_achieved_early( + self, + steps_completed: int, + steps_remaining: int, + ) -> None: + """Handle goal achieved early event.""" + if not self.verbose: + return + + content = Text() + content.append("Goal Achieved Early!\n", style="green bold") + content.append("Completed: ", style="white") + content.append(f"{steps_completed} steps\n", style="green") + content.append("Skipped: ", style="white") + content.append(f"{steps_remaining} remaining steps\n", style="green") + + self.print_panel(content, "🎯 Early Goal Achievement", "green") + # ----------- AGENT LOGGING EVENTS ----------- def handle_agent_logs_started( diff --git a/lib/crewai/src/crewai/experimental/agent_executor.py b/lib/crewai/src/crewai/experimental/agent_executor.py index d451e1205..79a12fa29 100644 --- a/lib/crewai/src/crewai/experimental/agent_executor.py +++ b/lib/crewai/src/crewai/experimental/agent_executor.py @@ -31,6 +31,11 @@ from crewai.events.types.logging_events import ( AgentLogsExecutionEvent, AgentLogsStartedEvent, ) +from crewai.events.types.observation_events import ( + GoalAchievedEarlyEvent, + PlanRefinementEvent, + PlanReplanTriggeredEvent, +) from crewai.events.types.tool_usage_events import ( ToolUsageErrorEvent, ToolUsageFinishedEvent, @@ -56,7 +61,7 @@ from crewai.hooks.types import ( from crewai.tools.base_tool import BaseTool from crewai.tools.structured_tool import CrewStructuredTool from crewai.utilities.agent_utils import ( - convert_tools_to_openai_schema, + check_native_tool_support, enforce_rpm_limit, extract_tool_call_info, format_message_for_llm, @@ -69,13 +74,22 @@ from crewai.utilities.agent_utils import ( has_reached_max_iterations, is_context_length_exceeded, is_inside_event_loop, + is_tool_call_list, parse_tool_call_args, process_llm_response, + setup_native_tools, track_delegation_if_needed, ) from crewai.utilities.constants import TRAINING_DATA_FILE from crewai.utilities.i18n import I18N, get_i18n +from crewai.utilities.planning_types import ( + PlanStep, + StepObservation, + TodoItem, + TodoList, +) from crewai.utilities.printer import Printer +from crewai.utilities.step_execution_context import StepExecutionContext from crewai.utilities.string_utils import sanitize_tool_name from crewai.utilities.tool_utils import execute_tool_and_check_finality from crewai.utilities.training_handler import CrewTrainingHandler @@ -92,11 +106,11 @@ if TYPE_CHECKING: from crewai.utilities.prompts import StandardPromptResult, SystemPromptResult -class AgentReActState(BaseModel): - """Structured state for agent ReAct flow execution. +class AgentExecutorState(BaseModel): + """Structured state for agent executor flow. - Replaces scattered instance variables with validated immutable state. - Maps to: self.messages, self.iterations, formatted_answer in current executor. + Holds both ReAct iteration state and Plan-and-Execute state + (todos, observations, replan tracking) in a single validated model. """ messages: list[LLMMessage] = Field(default_factory=list) @@ -106,13 +120,34 @@ class AgentReActState(BaseModel): ask_for_human_input: bool = Field(default=False) use_native_tools: bool = Field(default=False) pending_tool_calls: list[Any] = Field(default_factory=list) + plan: str | None = Field(default=None, description="Generated execution plan") + plan_ready: bool = Field( + default=False, description="Whether agent is ready to execute" + ) + todos: TodoList = Field( + default_factory=TodoList, description="Todo list for tracking plan execution" + ) + replan_count: int = Field( + default=0, description="Number of times the plan has been regenerated" + ) + last_replan_reason: str | None = Field( + default=None, description="Reason for the last replan, if any" + ) + observations: dict[int, StepObservation] = Field( + default_factory=dict, + description="Planner's observation per step (keyed by step_number)", + ) + execution_log: list[dict[str, Any]] = Field( + default_factory=list, + description="Audit trail for debugging (NOT used for LLM calls)", + ) -class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): +class AgentExecutor(Flow[AgentExecutorState], CrewAgentExecutorMixin): """Agent Executor for both standalone agents and crew-bound agents. Inherits from: - - Flow[AgentReActState]: Provides flow orchestration capabilities + - Flow[AgentExecutorState]: Provides flow orchestration capabilities - CrewAgentExecutorMixin: Provides memory methods (short/long/external term) This executor can operate in two modes: @@ -197,6 +232,8 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): # Execution guard to prevent concurrent/duplicate executions self._execution_lock = threading.Lock() + self._finalize_lock = threading.Lock() + self._finalize_called: bool = False self._is_executing: bool = False self._has_been_invoked: bool = False self._flow_initialized: bool = False @@ -221,72 +258,12 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): else self.stop ) ) - self._state = AgentReActState() + self._state = AgentExecutorState() - @property - def messages(self) -> list[LLMMessage]: - """Delegate to state for ExecutorContext conformance.""" - return self._state.messages - - @messages.setter - def messages(self, value: list[LLMMessage]) -> None: - """Delegate to state for ExecutorContext conformance.""" - if self._flow_initialized and hasattr(self, "_state_lock"): - with self._state_lock: - self._state.messages = value - else: - self._state.messages = value - - @property - def ask_for_human_input(self) -> bool: - """Delegate to state for ExecutorContext conformance.""" - return self._state.ask_for_human_input - - @ask_for_human_input.setter - def ask_for_human_input(self, value: bool) -> None: - """Delegate to state for ExecutorContext conformance.""" - self._state.ask_for_human_input = value - - def _invoke_loop(self) -> AgentFinish: - """Invoke the agent loop and return the result. - - Required by ExecutorContext protocol. - """ - self._state.iterations = 0 - self._state.is_finished = False - self._state.current_answer = None - - self.kickoff() - - answer = self._state.current_answer - if not isinstance(answer, AgentFinish): - raise RuntimeError("Agent loop did not produce a final answer") - return answer - - async def _ainvoke_loop(self) -> AgentFinish: - """Invoke the agent loop asynchronously and return the result. - - Required by AsyncExecutorContext protocol. - """ - self._state.iterations = 0 - self._state.is_finished = False - self._state.current_answer = None - - await self.akickoff() - - answer = self._state.current_answer - if not isinstance(answer, AgentFinish): - raise RuntimeError("Agent loop did not produce a final answer") - return answer - - def _format_feedback_message(self, feedback: str) -> LLMMessage: - """Format feedback as a message for the LLM. - - Required by ExecutorContext protocol. - """ - return format_message_for_llm( - self._i18n.slice("feedback_instructions").format(feedback=feedback) - ) + # Plan-and-Execute components (Phase 2) + # Lazy-imported to avoid circular imports during module load + self._step_executor: Any = None + self._planner_observer: Any = None def _ensure_flow_initialized(self) -> None: """Ensure Flow.__init__() has been called. @@ -308,61 +285,21 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): self._flow_initialized = True def _check_native_tool_support(self) -> bool: - """Check if LLM supports native function calling. - - Returns: - True if the LLM supports native function calling and tools are available. - """ - return ( - hasattr(self.llm, "supports_function_calling") - and callable(getattr(self.llm, "supports_function_calling", None)) - and self.llm.supports_function_calling() - and bool(self.original_tools) - ) + """Check if LLM supports native function calling.""" + return check_native_tool_support(self.llm, self.original_tools) def _setup_native_tools(self) -> None: """Convert tools to OpenAI schema format for native function calling.""" if self.original_tools: - self._openai_tools, self._available_functions, self._tool_name_mapping = ( - convert_tools_to_openai_schema(self.original_tools) - ) + ( + self._openai_tools, + self._available_functions, + self._tool_name_mapping, + ) = setup_native_tools(self.original_tools) def _is_tool_call_list(self, response: list[Any]) -> bool: - """Check if a response is a list of tool calls. - - Args: - response: The response to check. - - Returns: - True if the response appears to be a list of tool calls. - """ - if not response: - return False - first_item = response[0] - # Check for OpenAI-style tool call structure - if hasattr(first_item, "function") or ( - isinstance(first_item, dict) and "function" in first_item - ): - return True - # Check for Anthropic-style tool call structure (ToolUseBlock) - if ( - hasattr(first_item, "type") - and getattr(first_item, "type", None) == "tool_use" - ): - return True - if hasattr(first_item, "name") and hasattr(first_item, "input"): - return True - # Check for Bedrock-style tool call structure (dict with name and input keys) - if ( - isinstance(first_item, dict) - and "name" in first_item - and "input" in first_item - ): - return True - # Check for Gemini-style function call (Part with function_call) - if hasattr(first_item, "function_call") and first_item.function_call: - return True - return False + """Check if a response is a list of tool calls.""" + return is_tool_call_list(response) @property def use_stop_words(self) -> bool: @@ -374,7 +311,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): return self.llm.supports_stop_words() if self.llm else False @property - def state(self) -> AgentReActState: + def state(self) -> AgentExecutorState: """Get state - returns temporary state if Flow not yet initialized. Flow initialization is deferred to prevent event emission during agent setup. @@ -394,9 +331,919 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): """Set state iterations.""" self._state.iterations = value + @property + def messages(self) -> list[LLMMessage]: + """Compatibility property - returns state messages.""" + return self._state.messages + + @messages.setter + def messages(self, value: list[LLMMessage]) -> None: + """Set state messages.""" + self._state.messages = value + @start() + def generate_plan(self) -> None: + """Generate execution plan if planning is enabled. + + This is the entry point for the agent execution flow. If planning is + enabled on the agent, it generates a plan before execution begins. + The plan is stored in state and todos are created from the steps. + """ + if not getattr(self.agent, "planning_enabled", False): + return + + try: + from crewai.utilities.reasoning_handler import AgentReasoning + + if self.task: + planning_handler = AgentReasoning(agent=self.agent, task=self.task) + else: + # For kickoff() path - use input text directly, no Task needed + input_text = getattr(self, "_kickoff_input", "") + planning_handler = AgentReasoning( + agent=self.agent, + description=input_text or "Complete the requested task", + expected_output="Complete the task successfully", + ) + + output = planning_handler.handle_agent_reasoning() + + self.state.plan = output.plan.plan + self.state.plan_ready = output.plan.ready + + if self.state.plan_ready and output.plan.steps: + self._create_todos_from_plan(output.plan.steps) + + # Plan is stored in state.plan and used by the execution flow. + # Do NOT mutate task.description — it's a shared object that + # accumulates plan text on re-invoke. + + except Exception as e: + if hasattr(self.agent, "_logger"): + self.agent._logger.log("error", f"Error during planning: {e!s}") + + def _create_todos_from_plan(self, steps: list[PlanStep]) -> None: + """Convert plan steps into trackable todo items. + + Args: + steps: List of PlanStep objects from the reasoning handler. + """ + todos: list[TodoItem] = [] + for step in steps: + todo = TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + todos.append(todo) + + self.state.todos = TodoList(items=todos) + + # ------------------------------------------------------------------------- + # Plan-and-Execute: Component Initialization + # ------------------------------------------------------------------------- + + def _ensure_step_executor(self) -> Any: + """Lazily create the StepExecutor (avoids circular imports).""" + if self._step_executor is None: + from crewai.agents.step_executor import StepExecutor + + self._step_executor = StepExecutor( + llm=self.llm, + tools=self.tools, + agent=self.agent, + original_tools=self.original_tools, + tools_handler=self.tools_handler, + task=self.task, + crew=self.crew, + function_calling_llm=self.function_calling_llm, + request_within_rpm_limit=self.request_within_rpm_limit, + callbacks=self.callbacks, + i18n=self._i18n, + ) + return self._step_executor + + def _ensure_planner_observer(self) -> Any: + """Lazily create the PlannerObserver (avoids circular imports).""" + if self._planner_observer is None: + from crewai.agents.planner_observer import PlannerObserver + + self._planner_observer = PlannerObserver( + agent=self.agent, + task=self.task, + kickoff_input=getattr(self, "_kickoff_input", ""), + ) + return self._planner_observer + + def _get_reasoning_effort(self) -> str: + """Get the reasoning effort level from the agent's planning config. + + Returns: + The reasoning effort level: "low", "medium", or "high". + Defaults to "medium" if no planning config is set so that + step failures reliably trigger replanning rather than being + silently ignored. + """ + config = getattr(self.agent, "planning_config", None) + if config is not None and hasattr(config, "reasoning_effort"): + return config.reasoning_effort + return "medium" + + def _get_max_replans(self) -> int: + """Get max replans from planning config or default to 3.""" + config = getattr(self.agent, "planning_config", None) + if config is not None and hasattr(config, "max_replans"): + return config.max_replans + return 3 + + def _get_max_step_iterations(self) -> int: + """Get max step iterations from planning config or default to 15.""" + config = getattr(self.agent, "planning_config", None) + if config is not None and hasattr(config, "max_step_iterations"): + return config.max_step_iterations + return 15 + + def _get_step_timeout(self) -> int | None: + """Get per-step timeout from planning config or default to None.""" + config = getattr(self.agent, "planning_config", None) + if config is not None and hasattr(config, "step_timeout"): + return config.step_timeout + return None + + def _build_context_for_todo(self, todo: TodoItem) -> StepExecutionContext: + """Build an isolated execution context for a single todo. + + Passes only final results from completed dependencies — never + execution traces, tool calls, or LLM message history. + + Args: + todo: The todo item to build context for. + + Returns: + Immutable StepExecutionContext with dependency results. + """ + dependency_results: dict[int, str] = {} + for dep_num in todo.depends_on: + dep_todo = self.state.todos.get_by_step_number(dep_num) + if dep_todo and dep_todo.result: + dependency_results[dep_num] = dep_todo.result + + task_description = "" + task_goal = "" + if self.task: + task_description = self.task.description or "" + task_goal = self.task.expected_output or "" + else: + task_description = getattr(self, "_kickoff_input", "") + task_goal = "Complete the task successfully" + + return StepExecutionContext( + task_description=task_description, + task_goal=task_goal, + dependency_results=dependency_results, + ) + + # ------------------------------------------------------------------------- + # Plan-and-Execute: New Observation-Driven Flow Methods + # ------------------------------------------------------------------------- + + @router("step_executed") + def observe_step_result( + self, + ) -> Literal["step_observed_low", "step_observed_medium", "step_observed_high"]: + """Observe step result and route based on reasoning_effort level. + + Always runs PlannerObserver.observe() to validate whether the step + succeeded. Then routes to the appropriate handler based on the + agent's reasoning_effort setting: + + - "low": observe → mark complete → continue (no replan/refine) + - "medium": observe → replan on failure only (no refine) + - "high": observe → full decide pipeline (replan/refine/goal-achieved) + + Based on PLAN-AND-ACT Section 3.3. + """ + current_todo = self.state.todos.current_todo + effort = self._get_reasoning_effort() + + if not current_todo: + # No todo — route to low handler which will just continue + return "step_observed_low" + + observer = self._ensure_planner_observer() + all_completed = self.state.todos.get_completed_todos() + remaining = self.state.todos.get_pending_todos() + + observation = observer.observe( + completed_step=current_todo, + result=current_todo.result or "", + all_completed=all_completed, + remaining_todos=remaining, + ) + + self.state.observations[current_todo.step_number] = observation + + # Log observation for debugging + self.state.execution_log.append( + { + "type": "observation", + "step_number": current_todo.step_number, + "step_completed_successfully": observation.step_completed_successfully, + "key_information_learned": observation.key_information_learned, + "remaining_plan_still_valid": observation.remaining_plan_still_valid, + "needs_full_replan": observation.needs_full_replan, + "goal_already_achieved": observation.goal_already_achieved, + "reasoning_effort": effort, + } + ) + + if self.agent.verbose: + self._printer.print( + content=( + f"[Observe] Step {current_todo.step_number} " + f"(effort={effort}): " + f"success={observation.step_completed_successfully}, " + f"plan_valid={observation.remaining_plan_still_valid}, " + f"learned={observation.key_information_learned[:80]}..." + ), + color="cyan", + ) + + if effort == "high": + return "step_observed_high" + if effort == "medium": + return "step_observed_medium" + return "step_observed_low" + + # -- Low effort: observe → mark complete → continue (no replan/refine) -- + + @router("step_observed_low") + def handle_step_observed_low( + self, + ) -> Literal["continue_plan", "replan_now"]: + """Low reasoning effort: mark step complete and continue linearly. + + Skips the refine/goal-achieved pipeline but still gates on hard + failures: if the observer says the step failed AND a full replan is + needed, we route to ``replan_now`` rather than blindly continuing. + This prevents cascading failures where every subsequent step builds + on a broken foundation. + """ + current_todo = self.state.todos.current_todo + if not current_todo: + return "continue_plan" + + observation = self.state.observations.get(current_todo.step_number) + + # Even at low effort, don't ignore a hard step failure. + # A hard failure is one where the step did not succeed AND a replan + # is explicitly required (e.g. required tool not found, permission + # denied, environment misconfiguration). + if ( + observation + and not observation.step_completed_successfully + and observation.needs_full_replan + ): + self.state.todos.mark_failed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + self._printer.print( + content=( + f"[Low] Step {current_todo.step_number} hard-failed " + f"— triggering replan: {observation.replan_reason}" + ), + color="yellow", + ) + self.state.last_replan_reason = ( + observation.replan_reason or "Step did not complete successfully" + ) + return "replan_now" + + self.state.todos.mark_completed( + current_todo.step_number, result=current_todo.result + ) + + if self.agent.verbose: + completed = self.state.todos.completed_count + total = len(self.state.todos.items) + self._printer.print( + content=f"[Low] Step {current_todo.step_number} done ({completed}/{total}) — continuing", + color="green", + ) + + return "continue_plan" + + # -- Medium effort: observe → replan on failure only (no refine) -- + + @router("step_observed_medium") + def handle_step_observed_medium( + self, + ) -> Literal["continue_plan", "replan_now"]: + """Medium reasoning effort: replan only when a step fails. + + On success, marks the step complete and continues without + refinement or early goal detection. On failure, triggers replanning + so the agent can recover. + """ + current_todo = self.state.todos.current_todo + if not current_todo: + return "continue_plan" + + observation = self.state.observations.get(current_todo.step_number) + + # If observation is missing or step succeeded — continue + if not observation or observation.step_completed_successfully: + self.state.todos.mark_completed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + completed = self.state.todos.completed_count + total = len(self.state.todos.items) + self._printer.print( + content=f"[Medium] Step {current_todo.step_number} succeeded ({completed}/{total}) — continuing", + color="green", + ) + return "continue_plan" + + # Step failed — only replan if observer explicitly requires it, + # otherwise mark done and continue (same gate as low-effort). + if observation.needs_full_replan: + self.state.todos.mark_failed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + self._printer.print( + content=( + f"[Medium] Step {current_todo.step_number} failed + replan required " + f"— triggering replan: {observation.replan_reason}" + ), + color="yellow", + ) + self.state.last_replan_reason = ( + observation.replan_reason or "Step did not complete successfully" + ) + return "replan_now" + + # Step failed but observer does not require a full replan — mark as + # failed (not completed) so get_failed_todos() tracks it correctly. + self.state.todos.mark_failed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + failed = len(self.state.todos.get_failed_todos()) + total = len(self.state.todos.items) + self._printer.print( + content=( + f"[Medium] Step {current_todo.step_number} failed but no replan needed " + f"({failed} failed/{total} total) — continuing" + ), + color="yellow", + ) + return "continue_plan" + + # -- High effort: full observation pipeline (existing behavior) -- + + @router("step_observed_high") + def decide_next_action( + self, + ) -> Literal[ + "goal_achieved", + "replan_now", + "refine_and_continue", + "continue_plan", + ]: + """High reasoning effort: full observation-driven routing. + + Routes based on the Planner's observation. Can trigger early goal + achievement, full replanning, lightweight refinement, or simple + continuation. This is the most adaptive but highest-latency path. + """ + current_todo = self.state.todos.current_todo + if not current_todo: + return "continue_plan" + + observation = self.state.observations.get(current_todo.step_number) + if not observation: + # No observation available — default to continue + self.state.todos.mark_completed(current_todo.step_number) + return "continue_plan" + + # Goal already achieved — early termination + if observation.goal_already_achieved: + self.state.todos.mark_completed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + self._printer.print( + content="[Decide] Goal achieved early — finalizing", + color="green", + ) + return "goal_achieved" + + # Full replan needed + if observation.needs_full_replan: + self.state.todos.mark_failed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + self._printer.print( + content=f"[Decide] Full replan needed: {observation.replan_reason}", + color="yellow", + ) + self.state.last_replan_reason = observation.replan_reason + return "replan_now" + + # Step failed — also trigger replan + if not observation.step_completed_successfully: + self.state.todos.mark_failed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + self._printer.print( + content="[Decide] Step failed — triggering replan", + color="yellow", + ) + self.state.last_replan_reason = "Step did not complete successfully" + return "replan_now" + + # Plan still valid but needs refinement + if observation.remaining_plan_still_valid and observation.suggested_refinements: + self.state.todos.mark_completed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + self._printer.print( + content="[Decide] Plan valid but refining upcoming steps", + color="cyan", + ) + return "refine_and_continue" + + # Plan still valid, no refinements needed — just continue + self.state.todos.mark_completed( + current_todo.step_number, result=current_todo.result + ) + if self.agent.verbose: + completed = self.state.todos.completed_count + total = len(self.state.todos.items) + self._printer.print( + content=f"[Decide] Continue plan ({completed}/{total} done)", + color="green", + ) + return "continue_plan" + + @router("refine_and_continue") + def handle_refine_and_continue(self) -> Literal["has_todos"]: + """Lightweight plan refinement — update pending todo descriptions. + + The Planner sharpens upcoming step descriptions based on what was + learned, without regenerating the entire plan. + """ + # Find the most recent observation with refinements + recent_observation: StepObservation | None = None + last_step: int = 0 + if self.state.observations: + last_step = max(self.state.observations.keys()) + recent_observation = self.state.observations[last_step] + + if recent_observation and recent_observation.suggested_refinements: + observer = self._ensure_planner_observer() + remaining = self.state.todos.get_pending_todos() + + observer.apply_refinements(recent_observation, remaining) + + refinement_summaries = [ + f"Step {r.step_number}: {r.new_description}" + for r in recent_observation.suggested_refinements + ] + + crewai_event_bus.emit( + self.agent, + event=PlanRefinementEvent( + agent_role=self.agent.role, + step_number=last_step, + step_description="", + refined_step_count=len(remaining), + refinements=refinement_summaries, + from_task=self.task, + from_agent=self.agent, + ), + ) + + if self.agent.verbose: + self._printer.print( + content=f"[Refine] Updated {len(remaining)} pending step(s)", + color="cyan", + ) + + return "has_todos" + + @router("continue_plan") + def handle_continue_plan(self) -> Literal["has_todos", "all_todos_complete"]: + """Continue to the next todo after a successful step.""" + if self.state.todos.is_complete: + return "all_todos_complete" + return "has_todos" + + @router("goal_achieved") + def handle_goal_achieved(self) -> Literal["all_todos_complete"]: + """Handle early goal achievement — skip remaining todos.""" + completed = self.state.todos.get_completed_todos() + remaining = self.state.todos.get_pending_todos() + + # Emit goal achieved early event + crewai_event_bus.emit( + self.agent, + event=GoalAchievedEarlyEvent( + agent_role=self.agent.role, + step_number=completed[-1].step_number if completed else 0, + step_description="", + steps_completed=len(completed), + steps_remaining=len(remaining), + from_task=self.task, + from_agent=self.agent, + ), + ) + + if self.agent.verbose: + self._printer.print( + content="Goal achieved early — skipping remaining steps", + color="green", + ) + return "all_todos_complete" + + @router("replan_now") + def handle_replan_now( + self, + ) -> Literal["has_todos", "all_todos_complete"]: + """Handle full replanning — regenerate the remaining plan. + + Preserves completed todo results and replaces only pending steps. + """ + max_replans = self._get_max_replans() + + if self.state.replan_count >= max_replans: + if self.agent.verbose: + self._printer.print( + content=f"Max replans ({max_replans}) reached — finalizing with current results", + color="yellow", + ) + return "all_todos_complete" + + self.state.replan_count += 1 + reason = self.state.last_replan_reason or "Dynamic replan triggered" + completed = self.state.todos.get_completed_todos() + + # Emit replan triggered event + crewai_event_bus.emit( + self.agent, + event=PlanReplanTriggeredEvent( + agent_role=self.agent.role, + step_number=completed[-1].step_number if completed else 0, + step_description="", + replan_reason=reason, + replan_count=self.state.replan_count, + completed_steps_preserved=len(completed), + from_task=self.task, + from_agent=self.agent, + ), + ) + + self._trigger_replan(reason) + + if self.state.todos.get_pending_todos(): + return "has_todos" + return "all_todos_complete" + + # ------------------------------------------------------------------------- + # Todo-Driven Execution Flow + # ------------------------------------------------------------------------- + + @router(generate_plan) + def check_todos_available( + self, + ) -> Literal["has_todos", "no_todos", "planning_disabled"]: + """Check if todos were created from planning. + + Routes to todo-driven execution if todos exist, otherwise falls back + to standard execution flow. + """ + if not getattr(self.agent, "planning_enabled", False): + return "planning_disabled" + if not self.state.todos.items: + return "no_todos" + return "has_todos" + + @router("has_todos") + def get_ready_todos_method( + self, + ) -> Literal[ + "single_todo_ready", + "multiple_todos_ready", + "all_todos_complete", + "needs_replan", + ]: + """Find todos whose dependencies are satisfied. + + Determines if we can execute a single todo sequentially or multiple + todos in parallel. + """ + ready = self.state.todos.get_ready_todos() + + if not ready: + if self.state.todos.is_complete: + return "all_todos_complete" + # Stuck state: pending todos exist but none are ready (unsatisfied + # dependencies, e.g. a dependency was never completed). Trigger a + # replan so the planner can generate a new plan that unblocks + # execution rather than erroneously finalizing. + self.state.last_replan_reason = ( + "No todos are ready but plan is not complete — " + "likely a dependency deadlock or missing completion" + ) + return "needs_replan" + + if len(ready) == 1: + # Mark the single ready todo as running + self.state.todos.mark_running(ready[0].step_number) + return "single_todo_ready" + + # Multiple todos ready - can parallelize + return "multiple_todos_ready" + + @router("single_todo_ready") + def execute_todo_sequential( + self, + ) -> Literal["step_executed", "todo_injected"]: + """Execute a single todo using StepExecutor (Plan-and-Execute mode) + or fall back to the old ReAct injection (legacy mode). + + In Plan-and-Execute mode: executes the step in isolation via + StepExecutor, stores the result, and routes to the observation step. + + In legacy mode: injects context into the shared message list and + routes to the ReAct loop. + """ + current = self.state.todos.current_todo + if not current: + return "todo_injected" # Fall through to legacy + + # Plan-and-Execute path: use StepExecutor for isolated execution + if getattr(self.agent, "planning_enabled", False): + if self.agent.verbose: + self._printer.print( + content=( + f"[Execute] Step {current.step_number}: " + f"{current.description[:60]}..." + ), + color="cyan", + ) + + step_executor = self._ensure_step_executor() + context = self._build_context_for_todo(current) + result = step_executor.execute( + current, + context, + max_step_iterations=self._get_max_step_iterations(), + step_timeout=self._get_step_timeout(), + ) + + # Store result on the todo (do NOT mark completed — observation decides) + current.result = result.result + + # Log to audit trail + self.state.execution_log.append( + { + "type": "step_execution", + "step_number": current.step_number, + "success": result.success, + "result_preview": result.result[:200] if result.result else "", + "error": result.error, + "tool_calls": result.tool_calls_made, + "execution_time": result.execution_time, + } + ) + + if self.agent.verbose: + status = "success" if result.success else "failed" + self._printer.print( + content=( + f"[Execute] Step {current.step_number} {status} " + f"({result.execution_time:.1f}s, " + f"{len(result.tool_calls_made)} tool calls)" + ), + color="green" if result.success else "red", + ) + + return "step_executed" + + # Legacy path: inject context into shared messages for ReAct loop + self._inject_todo_context(current) + return "todo_injected" + + def _inject_todo_context(self, todo: TodoItem) -> None: + """Inject todo-specific context into the conversation. + + Args: + todo: The todo item to inject context for. + """ + # Build focused task prompt. Context from previous steps is already + # in self.state.messages as SYSTEM messages (added by _mark_todo_as_completed) + prompt = self._build_todo_prompt(todo, include_dependencies=False) + todo_message: LLMMessage = { + "role": "user", + "content": prompt, + } + self.state.messages.append(todo_message) + + def _build_todo_prompt( + self, todo: TodoItem, include_dependencies: bool = True + ) -> str: + """Build a focused prompt for executing a single todo. + + Args: + todo: The todo item to build a prompt for. + include_dependencies: Whether to include dependency results in this prompt. + + Returns: + A prompt string focused on this specific step. + """ + total = len(self.state.todos.items) + parts = [f"**Current Step {todo.step_number}/{total}**"] + parts.append(f"Task: {todo.description}") + + if todo.tool_to_use: + parts.append(f"Suggested tool: {todo.tool_to_use}") + + # Include results from completed dependencies if requested (used for parallel execution) + if include_dependencies and todo.depends_on: + dep_results = [] + for dep_num in todo.depends_on: + dep = self.state.todos.get_by_step_number(dep_num) + if dep and dep.result: + dep_results.append(f"Step {dep_num} result: {dep.result}") + if dep_results: + parts.append("\nContext from previous steps:") + parts.extend(dep_results) + + parts.append("\nComplete this step. Once done, provide your result.") + return "\n".join(parts) + + @router("multiple_todos_ready") + async def execute_todos_parallel(self) -> Literal["parallel_todos_complete"]: + """Execute multiple independent todos concurrently via StepExecutor. + + Uses the same StepExecutor path as sequential execution so that + parallel steps get: multi-turn action loops, tool usage events, + security context, vision sentinel handling, and hooks. + + After all steps complete, each result is observed sequentially + through PlannerObserver so the planning system stays informed. + """ + + ready = self.state.todos.get_ready_todos() + + # Mark all ready todos as running + for todo in ready: + self.state.todos.mark_running(todo.step_number) + + # Build context and executor for each todo, then run in parallel + async def _run_step(todo: TodoItem) -> tuple[TodoItem, object]: + step_executor = self._ensure_step_executor() + context = self._build_context_for_todo(todo) + result = await asyncio.to_thread( + step_executor.execute, + todo, + context, + self._get_max_step_iterations(), + self._get_step_timeout(), + ) + return todo, result + + gathered = await asyncio.gather( + *[_run_step(todo) for todo in ready], + return_exceptions=True, + ) + + # Process results: store on todos and log, then observe each. + # asyncio.gather preserves input order, so zip gives us the exact + # todo ↔ result (or exception) mapping. + step_results: list[tuple[TodoItem, object]] = [] + for todo, item in zip(ready, gathered, strict=True): + if isinstance(item, Exception): + error_msg = f"Error: {item!s}" + todo.result = error_msg + self.state.todos.mark_failed(todo.step_number, result=error_msg) + if self.agent.verbose: + self._printer.print( + content=f"Todo {todo.step_number} failed: {error_msg}", + color="red", + ) + else: + _returned_todo, result = item + todo.result = result.result + + self.state.execution_log.append( + { + "type": "step_execution", + "step_number": todo.step_number, + "success": result.success, + "result_preview": result.result[:200] if result.result else "", + "error": result.error, + "tool_calls": result.tool_calls_made, + "execution_time": result.execution_time, + } + ) + + if self.agent.verbose: + status = "success" if result.success else "failed" + self._printer.print( + content=( + f"[Execute] Step {todo.step_number} {status} " + f"({result.execution_time:.1f}s, " + f"{len(result.tool_calls_made)} tool calls)" + ), + color="green" if result.success else "red", + ) + step_results.append((todo, result)) + + # Observe each completed step sequentially (observation updates shared state) + effort = self._get_reasoning_effort() + observer = self._ensure_planner_observer() + + for todo, _result in step_results: + all_completed = self.state.todos.get_completed_todos() + remaining = self.state.todos.get_pending_todos() + + observation = observer.observe( + completed_step=todo, + result=todo.result or "", + all_completed=all_completed, + remaining_todos=remaining, + ) + + self.state.observations[todo.step_number] = observation + + self.state.execution_log.append( + { + "type": "observation", + "step_number": todo.step_number, + "step_completed_successfully": observation.step_completed_successfully, + "key_information_learned": observation.key_information_learned, + "remaining_plan_still_valid": observation.remaining_plan_still_valid, + "needs_full_replan": observation.needs_full_replan, + "goal_already_achieved": observation.goal_already_achieved, + "reasoning_effort": effort, + } + ) + + # Mark based on observation result + if observation.step_completed_successfully: + self.state.todos.mark_completed(todo.step_number, result=todo.result) + else: + self.state.todos.mark_failed(todo.step_number, result=todo.result) + + if self.agent.verbose: + self._printer.print( + content=( + f"[Observe] Step {todo.step_number} " + f"(effort={effort}): " + f"success={observation.step_completed_successfully}, " + f"plan_valid={observation.remaining_plan_still_valid}, " + f"learned={observation.key_information_learned[:80]}..." + ), + color="cyan", + ) + + return "parallel_todos_complete" + + @router("parallel_todos_complete") + def after_parallel_execution( + self, + ) -> Literal["has_todos", "all_todos_complete", "needs_replan"]: + """Check for more todos after parallel execution completes. + + Also checks if replanning is needed based on execution results. + """ + # Check if replanning is needed before continuing + should_replan, reason = self._should_replan() + if should_replan: + self.state.last_replan_reason = reason + return "needs_replan" + + if self.state.todos.is_complete: + return "all_todos_complete" + return "has_todos" + + @router(or_("todo_injected", "no_todos", "planning_disabled")) def initialize_reasoning(self) -> Literal["initialized"]: - """Initialize the reasoning flow and emit agent start logs.""" + """Initialize the reasoning flow and emit agent start logs. + + This is called either after todo context is injected, or when + there are no todos (falling back to standard execution). + """ self._show_start_logs() # Check for native tool support on first iteration if self.state.iterations == 0: @@ -405,7 +1252,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): self._setup_native_tools() return "initialized" - @listen("max_iterations_exceeded") + @router("force_final_answer") def force_final_answer(self) -> Literal["agent_finished"]: """Force agent to provide final answer when max iterations exceeded.""" formatted_answer = handle_max_iterations_exceeded( @@ -423,12 +1270,15 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): return "agent_finished" - @listen("continue_reasoning") + @router("continue_reasoning") def call_llm_and_parse(self) -> Literal["parsed", "parser_error", "context_error"]: """Execute LLM call with hooks and parse the response. Returns routing decision based on parsing result. """ + if self.state.is_finished: + return "parsed" + try: enforce_rpm_limit(self.request_within_rpm_limit) @@ -489,16 +1339,25 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): handle_unknown_error(self._printer, e, verbose=self.agent.verbose) raise - @listen("continue_reasoning_native") - def call_llm_native_tools(self) -> None: + @router("continue_reasoning_native") + def call_llm_native_tools( + self, + ) -> Literal[ + "native_tool_calls", "native_finished", "context_error", "todo_satisfied" + ]: """Execute LLM call with native function calling. Always calls the LLM so it can read reflection prompts and decide whether to provide a final answer or request more tools. - Note: This is a listener, not a router. The route_native_tool_result - router fires after this to determine the next step based on state. + When todos are active and the LLM produces a final answer, we treat it + as completing the current todo rather than finishing the entire task. + + Returns routing decision based on whether tool calls or final answer. """ + if self.state.is_finished: + return "native_finished" + try: # Clear pending tools - LLM will decide what to do next after reading # the reflection prompt. It can either: @@ -527,7 +1386,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): if isinstance(answer, list) and answer and self._is_tool_call_list(answer): # Store tool calls for sequential processing self.state.pending_tool_calls = list(answer) - return # Router will check pending_tool_calls + return "native_tool_calls" if isinstance(answer, BaseModel): self.state.current_answer = AgentFinish( @@ -537,7 +1396,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): ) self._invoke_step_callback(self.state.current_answer) self._append_message_to_state(answer.model_dump_json()) - return # Router will check current_answer + return self._route_finish_with_todos("native_finished") # Text response - this is the final answer if isinstance(answer, str): @@ -548,7 +1407,8 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): ) self._invoke_step_callback(self.state.current_answer) self._append_message_to_state(answer) - return # Router will check current_answer + + return self._route_finish_with_todos("native_finished") # Unexpected response type, treat as final answer self.state.current_answer = AgentFinish( @@ -558,41 +1418,53 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): ) self._invoke_step_callback(self.state.current_answer) self._append_message_to_state(str(answer)) - # Router will check current_answer + + return self._route_finish_with_todos("native_finished") except Exception as e: if is_context_length_exceeded(e): self._last_context_error = e - return # Router will check _last_context_error + return "context_error" if e.__class__.__module__.startswith("litellm"): raise e handle_unknown_error(self._printer, e, verbose=self.agent.verbose) raise + def _route_finish_with_todos( + self, default_route: str + ) -> Literal["native_finished", "agent_finished", "todo_satisfied"]: + """Helper to route finish events, checking for pending todos first. + + If there are pending todos, route to todo_satisfied instead of the + default finish event to continue processing todos. + + Args: + default_route: The default route to use if no todos are pending. + + Returns: + "todo_satisfied" if todos need processing, otherwise the default route. + """ + if self.state.todos.items and not self.state.todos.is_complete: + current_todo = self.state.todos.current_todo + if current_todo: + return "todo_satisfied" + return default_route # type: ignore[return-value] + @router(call_llm_and_parse) - def route_by_answer_type(self) -> Literal["execute_tool", "agent_finished"]: - """Route based on whether answer is AgentAction or AgentFinish.""" + def route_by_answer_type( + self, + ) -> Literal["execute_tool", "agent_finished", "todo_satisfied"]: + """Route based on whether answer is AgentAction or AgentFinish. + + When todos are active and the LLM produces a final answer, we treat it + as completing the current todo rather than finishing the entire task. + """ if isinstance(self.state.current_answer, AgentAction): return "execute_tool" - return "agent_finished" - @router(call_llm_native_tools) - def route_native_tool_result( - self, - ) -> Literal["native_tool_calls", "native_finished", "context_error"]: - """Route based on LLM response for native tool calling. + return self._route_finish_with_todos("agent_finished") - Checks state set by call_llm_native_tools to determine next step. - This router is needed because only router return values trigger - downstream listeners. - """ - if self._last_context_error is not None: - return "context_error" - if self.state.pending_tool_calls: - return "native_tool_calls" - return "native_finished" - - @listen("execute_tool") + @router("execute_tool") def execute_tool_action(self) -> Literal["tool_completed", "tool_result_is_final"]: """Execute the tool action and handle the result.""" @@ -665,7 +1537,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): return "tool_completed" - @listen("native_tool_calls") + @router("native_tool_calls") def execute_native_tool( self, ) -> Literal["native_tool_completed", "tool_result_is_final"]: @@ -1031,9 +1903,12 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): ), ) error_event_emitted = True - elif max_usage_reached and original_tool: + elif max_usage_reached: # Return error message when max usage limit is reached - result = f"Tool '{func_name}' has reached its usage limit of {original_tool.max_usage_count} times and cannot be used anymore." + if original_tool: + result = f"Tool '{func_name}' has reached its usage limit of {original_tool.max_usage_count} times and cannot be used anymore." + else: + result = f"Tool '{func_name}' has reached its maximum usage limit and cannot be used anymore." # Execute after_tool_call hooks (even if blocked, to allow logging/monitoring) after_hook_context = ToolCallHookContext( @@ -1098,12 +1973,22 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): return "unknown" @router(execute_native_tool) - def increment_native_and_continue(self) -> Literal["initialized"]: - """Increment iteration counter after native tool execution.""" - self.state.iterations += 1 - return "initialized" + def check_native_todo_completion( + self, + ) -> Literal["todo_satisfied", "todo_not_satisfied"]: + """Check if the native tool execution satisfied the active todo. - @listen(or_("initialized", "tool_completed", "native_tool_completed")) + Similar to check_todo_completion but for native tool execution path. + """ + current_todo = self.state.todos.current_todo + + if not current_todo: + return "todo_not_satisfied" + + # For native tools, any tool execution satisfies the todo + return "todo_satisfied" + + @listen("initialized") def continue_iteration(self) -> Literal["check_iteration"]: """Bridge listener that connects iteration loop back to iteration check.""" if self._flow_initialized: @@ -1114,32 +1999,202 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): def check_max_iterations( self, ) -> Literal[ - "max_iterations_exceeded", "continue_reasoning", "continue_reasoning_native" + "force_final_answer", "continue_reasoning", "continue_reasoning_native" ]: """Check if max iterations reached before proceeding with reasoning.""" if has_reached_max_iterations(self.state.iterations, self.max_iter): - return "max_iterations_exceeded" + return "force_final_answer" if self.state.use_native_tools: return "continue_reasoning_native" return "continue_reasoning" @router(execute_tool_action) + def check_todo_completion( + self, + ) -> Literal["todo_satisfied", "todo_not_satisfied"]: + """Check if the current tool execution satisfied the active todo. + + After a tool is executed, this determines if the current todo + should be marked as complete based on whether: + 1. The expected tool was used (if specified) + 2. The agent returned a final answer for this step + """ + current_todo = self.state.todos.current_todo + + if not current_todo: + return "todo_not_satisfied" + + action = self.state.current_answer + + # Check if the expected tool was used + if isinstance(action, AgentAction): + if current_todo.tool_to_use: + if action.tool == current_todo.tool_to_use: + return "todo_satisfied" + else: + return "todo_satisfied" + + if isinstance(action, AgentFinish): + return "todo_satisfied" + + return "todo_not_satisfied" + + @listen("todo_satisfied") + def mark_todo_complete(self) -> Literal["todo_marked"]: + """Mark the current todo as completed with its result.""" + current_todo = self.state.todos.current_todo + + if not current_todo: + return "todo_marked" + + # Extract result from the current answer + result = "" + if isinstance(self.state.current_answer, AgentFinish): + result = str(self.state.current_answer.output) + elif isinstance(self.state.current_answer, AgentAction): + # Use the tool result (last message should have it) + if self.state.messages: + last_msg = self.state.messages[-1] + if ( + last_msg.get("role") == "tool" + or last_msg.get("role") == "assistant" + ): + result = str(last_msg.get("content", "")) + elif not self.state.current_answer and self.state.messages: + # For native tools, results are in the message history as 'tool' roles + # We take the content of the most recent tool results + tool_results = [] + for msg in reversed(self.state.messages): + if msg.get("role") == "tool": + tool_results.insert(0, str(msg.get("content", ""))) + elif msg.get("role") == "assistant" and msg.get("tool_calls"): + # Once we hit the assistant message that triggered the tools, we stop + break + result = "\n".join(tool_results) + + self._mark_todo_as_completed(current_todo.step_number, result) + + return "todo_marked" + + def _mark_todo_as_completed(self, step_number: int, result: str) -> None: + """Helper to mark a todo as completed and update history. + + Args: + step_number: The step number to mark. + result: The result of the todo. + """ + self.state.todos.mark_completed(step_number, result=result) + + if self.agent.verbose: + completed = self.state.todos.completed_count + total = len(self.state.todos.items) + self._printer.print( + content=f"✓ Todo {step_number} completed ({completed}/{total})", + color="green", + ) + + # Add to history as a SYSTEM message for subsequent steps + if result: + self._append_message_to_state( + f"**Step {step_number} result:**\n\n{result}", + role="system", + ) + + @router(mark_todo_complete) + def check_more_todos( + self, + ) -> Literal["has_todos", "all_todos_complete", "needs_replan"]: + """Check if there are more todos to execute after marking one complete. + + Also checks if replanning is needed based on execution results. + """ + # Check if replanning is needed before continuing + should_replan, reason = self._should_replan() + if should_replan: + self.state.last_replan_reason = reason + return "needs_replan" + + if self.state.todos.is_complete: + return "all_todos_complete" + + return "has_todos" + + @router("todo_not_satisfied") def increment_and_continue(self) -> Literal["initialized"]: - """Increment iteration counter and loop back for next iteration.""" + """Increment iteration counter and loop back for next iteration. + + Called when a tool execution didn't satisfy the current todo, + allowing the agent to continue working on it. + """ self.state.iterations += 1 return "initialized" - @listen(or_("agent_finished", "tool_result_is_final", "native_finished")) + @listen( + or_( + "all_todos_complete", + "agent_finished", + "tool_result_is_final", + "native_finished", + ) + ) def finalize(self) -> Literal["completed", "skipped"]: - """Finalize execution and emit completion logs.""" - if self.state.current_answer is None: - skip_text = Text() - skip_text.append("⚠️ ", style="yellow bold") - skip_text.append( - "Finalize called but no answer in state - skipping", style="yellow" + """Finalize execution and emit completion logs. + + If todos were used, synthesizes a final answer from all todo results. + Handles both the legacy ReAct path (current_answer already set) and + the Plan-and-Execute path (synthesize from completed todos). + """ + # Guard against duplicate finalization — the flow may trigger finalize + # more than once when concurrent branches both reach a terminal state. + # Use a lock to atomically check-and-set _finalize_called so only the + # first caller proceeds. We use a separate flag (not is_finished) + # because is_finished should only be set when finalization succeeds. + with self._finalize_lock: + if self._finalize_called: + return "completed" + self._finalize_called = True + + if self.agent.verbose: + self._printer.print( + content=f"[Finalize] todos_count={len(self.state.todos.items)}, todos_with_results={sum(1 for t in self.state.todos.items if t.result)}", + color="magenta", + ) + + if self.state.current_answer is None: + # Plan-and-Execute path: todos may have results even if not all are + # marked "completed" (e.g., goal_achieved early). + todos_with_results = [t for t in self.state.todos.items if t.result] + if todos_with_results: + if self._can_use_last_todo_result_as_final_answer(todos_with_results): + last_todo = max( + todos_with_results, key=lambda todo: todo.step_number + ) + final_text = str(last_todo.result or "") + self.state.current_answer = AgentFinish( + thought="Final answer returned directly from last completed todo", + output=final_text, + text=final_text, + ) + else: + self._synthesize_final_answer_from_todos() + + if self.state.current_answer is None: + # Last resort: produce a fallback answer rather than leaving + # current_answer as None, which causes a RuntimeError upstream. + fallback_text = "Agent completed execution but produced no final output." + if self.state.todos.items: + partial = [ + f"Step {t.step_number}: {t.result or '(no result)'}" + for t in self.state.todos.items + if t.status == "completed" + ] + if partial: + fallback_text = "\n\n".join(partial) + self.state.current_answer = AgentFinish( + thought="Finalize fallback — no explicit answer was set", + output=fallback_text, + text=fallback_text, ) - self._console.print(skip_text) - return "skipped" if not isinstance(self.state.current_answer, AgentFinish): skip_text = Text() @@ -1152,12 +2207,361 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): return "skipped" self.state.is_finished = True - self._show_logs(self.state.current_answer) return "completed" - @listen("parser_error") + def _can_use_last_todo_result_as_final_answer( + self, todos_with_results: list[TodoItem] + ) -> bool: + """Determine whether synthesis can be skipped for planning results.""" + # Keep synthesis when structured output is requested. + if self.response_model is not None: + return False + if not todos_with_results: + return False + + last_todo = max(todos_with_results, key=lambda todo: todo.step_number) + if last_todo.tool_to_use: + return False + + last_result = str(last_todo.result or "").strip() + if not last_result: + return False + + lowered_result = last_result.lower() + if ( + lowered_result.startswith("error:") + or "tool execution error" in lowered_result + ): + return False + + word_count = len(last_result.split()) + has_sentence_punctuation = any(ch in last_result for ch in ".!?") + return ( + len(last_result) >= 200 or word_count >= 30 + ) and has_sentence_punctuation + + def _synthesize_final_answer_from_todos(self) -> None: + """Synthesize a coherent final answer from all todo results. + + Makes one LLM call to produce a clean, unified response from + the accumulated step results, rather than dumping raw step outputs. + + If a response_model is set (from task.response_model or kickoff(response_format)), + the synthesis call uses it to produce structured output matching the + expected schema. This is the ONLY place response_model is applied in + the Plan-and-Execute path — intermediate steps produce free-text results. + + Falls back to concatenation if the synthesis LLM call fails. + """ + step_results: list[str] = [ + f"Step {todo.step_number} ({todo.description}):\n{todo.result}" + for todo in self.state.todos.items + if todo.result + ] + + if not step_results: + return + + combined_steps = "\n\n".join(step_results) + + # Get the original task description + task_description = "" + if self.task: + task_description = self.task.description or "" + else: + task_description = getattr(self, "_kickoff_input", "") + + # Strip any appended planning text from the task description + if "\n\nPlanning:\n" in task_description: + task_description = task_description.split("\n\nPlanning:\n")[0] + + # Build synthesis prompt + role = self.agent.role if self.agent else "Assistant" + + system_prompt = self._i18n.retrieve( + "planning", "synthesis_system_prompt" + ).format(role=role) + user_prompt = self._i18n.retrieve("planning", "synthesis_user_prompt").format( + task_description=task_description, + combined_steps=combined_steps, + ) + + try: + synthesis = self.llm.call( + [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt}, + ], + response_model=self.response_model, + from_task=self.task, + from_agent=self.agent, + ) + + if synthesis: + # If response_model produced a BaseModel, store it directly + if isinstance(synthesis, BaseModel): + self.state.current_answer = AgentFinish( + thought="Synthesized structured final answer from all completed steps", + output=synthesis, + text=synthesis.model_dump_json(), + ) + else: + final_text = str(synthesis) + self.state.current_answer = AgentFinish( + thought="Synthesized final answer from all completed steps", + output=final_text, + text=final_text, + ) + return + + except Exception as e: + if self.agent and self.agent.verbose: + self._printer.print( + content=f"Synthesis LLM call failed ({e}), falling back to concatenation", + color="yellow", + ) + + # Fallback: concatenate step results if synthesis fails + fallback = "\n\n".join(step_results) + self.state.current_answer = AgentFinish( + thought="All planned steps completed (synthesis unavailable)", + output=fallback, + text=fallback, + ) + + # ------------------------------------------------------------------------- + # Dynamic Replanning Methods + # ------------------------------------------------------------------------- + + def _should_replan(self) -> tuple[bool, str]: + """Determine if dynamic replanning is needed. + + Checks for conditions that warrant regenerating the execution plan: + 1. Multiple consecutive todo failures + 2. All todos completed but agent indicates incomplete results + 3. Agent explicitly requested a replan via tool or output + + Returns: + Tuple of (should_replan: bool, reason: str) + """ + max_replans = self._get_max_replans() + + # Don't replan if we've hit the limit + if self.state.replan_count >= max_replans: + return False, "Max replan attempts reached" + + # Check for failed todos (now actually tracked via "failed" status) + failed_todos = self.state.todos.get_failed_todos() + if len(failed_todos) >= 2: + return True, f"Multiple todos failed ({len(failed_todos)} failures)" + + # Check for todos with error results + error_todos = [ + todo + for todo in self.state.todos.items + if todo.result and todo.result.startswith("Error:") + ] + if len(error_todos) >= 2: + return ( + True, + f"Multiple todos encountered errors ({len(error_todos)} errors)", + ) + + # Check if agent's last message indicates need for replanning + if self.state.messages: + last_msg = self.state.messages[-1] + content = str(last_msg.get("content", "")).lower() + replan_indicators = [ + "need to reconsider", + "approach isn't working", + "try a different approach", + "replan", + "revise the plan", + "plan needs adjustment", + ] + for indicator in replan_indicators: + if indicator in content: + return True, f"Agent indicated replanning needed: '{indicator}'" + + return False, "" + + def _trigger_replan(self, reason: str) -> None: + """Trigger dynamic replanning with accumulated context. + + Regenerates the execution plan based on what has been learned + from previous attempts, including failures and partial results. + + NOTE: Callers are responsible for incrementing ``replan_count`` + before calling this method (to allow the guard check in each + caller's own flow method). + + Args: + reason: The reason for triggering the replan. + """ + self.state.last_replan_reason = reason + + if self.agent.verbose: + self._printer.print( + content=f"Triggering replan (attempt {self.state.replan_count}): {reason}", + color="yellow", + ) + + # Build context from previous execution attempts + previous_context = self._build_replan_context() + + try: + from crewai.utilities.reasoning_handler import AgentReasoning + + if self.task: + planning_handler = AgentReasoning(agent=self.agent, task=self.task) + else: + input_text = getattr(self, "_kickoff_input", "") + planning_handler = AgentReasoning( + agent=self.agent, + description=input_text or "Complete the requested task", + expected_output="Complete the task successfully", + ) + + # Include previous context in the planning request + # This helps the planner learn from past failures + enhanced_description = self._enhance_task_for_replan(previous_context) + if self.task: + original_description = self.task.description + self.task.description = enhanced_description + output = planning_handler.handle_agent_reasoning() + self.task.description = original_description + else: + # description is a read-only property — recreate with enhanced text + input_text = getattr(self, "_kickoff_input", "") + planning_handler = AgentReasoning( + agent=self.agent, + description=enhanced_description + or input_text + or "Complete the requested task", + expected_output="Complete the task successfully", + ) + output = planning_handler.handle_agent_reasoning() + + # Update plan metadata and replace only pending todos, + # preserving completed history for context and synthesis. + self.state.plan = output.plan.plan + self.state.plan_ready = output.plan.ready + + if self.state.plan_ready and output.plan.steps: + new_todos = [ + TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + for step in output.plan.steps + ] + self.state.todos.replace_pending_todos(new_todos) + + if self.agent.verbose: + self._printer.print( + content=f"Replan: {len(new_todos)} new steps (completed history preserved)", + color="green", + ) + + except Exception as e: + if hasattr(self.agent, "_logger"): + self.agent._logger.log("error", f"Error during replanning: {e!s}") + # Keep existing todos if replanning fails + self.state.last_replan_reason = f"Replan failed: {e!s}" + + def _build_replan_context(self) -> str: + """Build context from previous execution for replanning. + + Summarizes what has been attempted, what failed, and what succeeded + to help the planner create a better plan. + + Returns: + A context string describing previous execution state. + """ + context_parts = [] + + # Summarize completed todos + completed = [t for t in self.state.todos.items if t.status == "completed"] + if completed: + context_parts.append("Successfully completed steps:") + for todo in completed: + context_parts.append(f" - Step {todo.step_number}: {todo.description}") + if todo.result: + context_parts.append(f" Result: {todo.result}") + + # Summarize failed todos + failed = [ + t + for t in self.state.todos.items + if t.status == "failed" or (t.result and t.result.startswith("Error:")) + ] + if failed: + context_parts.append("\nFailed or errored steps:") + for todo in failed: + context_parts.append(f" - Step {todo.step_number}: {todo.description}") + if todo.result: + context_parts.append(f" Error: {todo.result}") + + # Add replan history + if self.state.replan_count > 0: + context_parts.append(f"\nThis is replan attempt {self.state.replan_count}.") + if self.state.last_replan_reason: + context_parts.append( + f"Previous replan reason: {self.state.last_replan_reason}" + ) + + return "\n".join(context_parts) + + def _enhance_task_for_replan(self, previous_context: str) -> str: + """Enhance task description with context for replanning. + + Args: + previous_context: Context from previous execution attempts. + + Returns: + Enhanced task description for the planner. + """ + original = ( + self.task.description if self.task else getattr(self, "_kickoff_input", "") + ) + + enhancement = self._i18n.retrieve( + "planning", "replan_enhancement_prompt" + ).format(previous_context=previous_context) + + return f"{original}{enhancement}" + + @router("needs_replan") + def handle_replan(self) -> Literal["has_todos", "no_todos"]: + """Handle replanning request and return to todo execution. + + Called when dynamic replanning is triggered. Regenerates the plan + and routes back to todo-driven execution. + """ + max_replans = self._get_max_replans() + + if self.state.replan_count >= max_replans: + if self.agent.verbose: + self._printer.print( + content=f"Max replans ({max_replans}) reached — finalizing with current results", + color="yellow", + ) + return "no_todos" + + self.state.replan_count += 1 + reason = self.state.last_replan_reason or "Dynamic replan triggered" + self._trigger_replan(reason) + + if self.state.todos.get_pending_todos(): + return "has_todos" + return "no_todos" + + @router("parser_error") def recover_from_parser_error(self) -> Literal["initialized"]: """Recover from output parser errors and retry.""" if not self._last_parser_error: @@ -1180,7 +2584,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): return "initialized" - @listen("context_error") + @router("context_error") def recover_from_context_length(self) -> Literal["initialized"]: """Recover from context length errors and retry.""" handle_context_length( @@ -1229,12 +2633,22 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): try: # Reset state for fresh execution + self._finalize_called = False self.state.messages.clear() self.state.iterations = 0 self.state.current_answer = None self.state.is_finished = False self.state.use_native_tools = False self.state.pending_tool_calls = [] + self.state.plan = None + self.state.plan_ready = False + self.state.todos = TodoList() + self.state.replan_count = 0 + self.state.last_replan_reason = None + self.state.observations = {} + self.state.execution_log = [] + + self._kickoff_input = inputs.get("input", "") if "system" in self.prompt: prompt = cast("SystemPromptResult", self.prompt) @@ -1311,12 +2725,22 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): try: # Reset state for fresh execution + self._finalize_called = False self.state.messages.clear() self.state.iterations = 0 self.state.current_answer = None self.state.is_finished = False self.state.use_native_tools = False self.state.pending_tool_calls = [] + self.state.plan = None + self.state.plan_ready = False + self.state.todos = TodoList() + self.state.replan_count = 0 + self.state.last_replan_reason = None + self.state.observations = {} + self.state.execution_log = [] + + self._kickoff_input = inputs.get("input", "") if "system" in self.prompt: prompt = cast("SystemPromptResult", self.prompt) @@ -1414,7 +2838,24 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): if self.step_callback: cb_result = self.step_callback(formatted_answer) if inspect.iscoroutine(cb_result): - asyncio.run(cb_result) + if is_inside_event_loop(): + callback_task = asyncio.create_task(cb_result) + callback_task.add_done_callback( + self._handle_step_callback_task_result + ) + else: + asyncio.run(cb_result) + + def _handle_step_callback_task_result(self, task: asyncio.Task[Any]) -> None: + """Surface async callback errors without crashing the flow event loop.""" + try: + task.result() + except Exception as e: + if self.agent.verbose: + self._printer.print( + content=f"Error in async step_callback task: {e!s}", + color="red", + ) def _append_message_to_state( self, text: str, role: Literal["user", "assistant", "system"] = "assistant" diff --git a/lib/crewai/src/crewai/lite_agent_output.py b/lib/crewai/src/crewai/lite_agent_output.py index 4183dba1f..af0d51808 100644 --- a/lib/crewai/src/crewai/lite_agent_output.py +++ b/lib/crewai/src/crewai/lite_agent_output.py @@ -6,9 +6,27 @@ from typing import Any from pydantic import BaseModel, Field +from crewai.utilities.planning_types import TodoItem from crewai.utilities.types import LLMMessage +class TodoExecutionResult(BaseModel): + """Summary of a single todo execution.""" + + step_number: int = Field(description="Step number in the plan") + description: str = Field(description="What the todo was supposed to do") + tool_used: str | None = Field( + default=None, description="Tool that was used for this step" + ) + status: str = Field(description="Final status: completed, failed, pending") + result: str | None = Field( + default=None, description="Result or error message from execution" + ) + depends_on: list[int] = Field( + default_factory=list, description="Step numbers this depended on" + ) + + class LiteAgentOutput(BaseModel): """Class that represents the result of a LiteAgent execution.""" @@ -24,12 +42,75 @@ class LiteAgentOutput(BaseModel): ) messages: list[LLMMessage] = Field(description="Messages of the agent", default=[]) + plan: str | None = Field( + default=None, description="The execution plan that was generated, if any" + ) + todos: list[TodoExecutionResult] = Field( + default_factory=list, + description="List of todos that were executed with their results", + ) + replan_count: int = Field( + default=0, description="Number of times the plan was regenerated" + ) + last_replan_reason: str | None = Field( + default=None, description="Reason for the last replan, if any" + ) + + @classmethod + def from_todo_items(cls, todo_items: list[TodoItem]) -> list[TodoExecutionResult]: + """Convert TodoItem objects to TodoExecutionResult summaries. + + Args: + todo_items: List of TodoItem objects from execution. + + Returns: + List of TodoExecutionResult summaries. + """ + return [ + TodoExecutionResult( + step_number=item.step_number, + description=item.description, + tool_used=item.tool_to_use, + status=item.status, + result=item.result, + depends_on=item.depends_on, + ) + for item in todo_items + ] + def to_dict(self) -> dict[str, Any]: """Convert pydantic_output to a dictionary.""" if self.pydantic: return self.pydantic.model_dump() return {} + @property + def completed_todos(self) -> list[TodoExecutionResult]: + """Get only the completed todos.""" + return [t for t in self.todos if t.status == "completed"] + + @property + def failed_todos(self) -> list[TodoExecutionResult]: + """Get only the failed todos.""" + return [t for t in self.todos if t.status == "failed"] + + @property + def had_plan(self) -> bool: + """Check if the agent executed with a plan.""" + return self.plan is not None or len(self.todos) > 0 + def __str__(self) -> str: """Return the raw output as a string.""" return self.raw + + def __repr__(self) -> str: + """Return a detailed representation including todo summary.""" + parts = [f"LiteAgentOutput(role={self.agent_role!r}"] + if self.todos: + completed = len(self.completed_todos) + total = len(self.todos) + parts.append(f", todos={completed}/{total} completed") + if self.replan_count > 0: + parts.append(f", replans={self.replan_count}") + parts.append(")") + return "".join(parts) diff --git a/lib/crewai/src/crewai/llms/providers/anthropic/completion.py b/lib/crewai/src/crewai/llms/providers/anthropic/completion.py index 9723c4a8f..c4e4dd549 100644 --- a/lib/crewai/src/crewai/llms/providers/anthropic/completion.py +++ b/lib/crewai/src/crewai/llms/providers/anthropic/completion.py @@ -618,6 +618,50 @@ class AnthropicCompletion(BaseLLM): return redacted_block return None + @staticmethod + def _convert_image_blocks(content: Any) -> Any: + """Convert OpenAI-style image_url blocks to Anthropic image blocks. + + Upstream code (e.g. StepExecutor) uses the standard ``image_url`` + format with a ``data:`` URI. Anthropic rejects that — it requires + ``{"type": "image", "source": {"type": "base64", ...}}``. + + Non-list content and blocks that are not ``image_url`` are passed + through unchanged. + """ + if not isinstance(content, list): + return content + + converted: list[dict[str, Any]] = [] + for block in content: + if not isinstance(block, dict) or block.get("type") != "image_url": + converted.append(block) + continue + + image_info = block.get("image_url", {}) + url = image_info.get("url", "") if isinstance(image_info, dict) else "" + if url.startswith("data:") and ";base64," in url: + # Parse data:;base64, + header, b64_data = url.split(";base64,", 1) + media_type = ( + header.split("data:", 1)[1] if "data:" in header else "image/png" + ) + converted.append( + { + "type": "image", + "source": { + "type": "base64", + "media_type": media_type, + "data": b64_data, + }, + } + ) + else: + # Non-data URI — pass through as-is (Anthropic supports url source) + converted.append(block) + + return converted + def _format_messages_for_anthropic( self, messages: str | list[LLMMessage] ) -> tuple[list[LLMMessage], str | None]: @@ -656,10 +700,11 @@ class AnthropicCompletion(BaseLLM): tool_call_id = message.get("tool_call_id", "") if not tool_call_id: raise ValueError("Tool message missing required tool_call_id") + tool_content = self._convert_image_blocks(content) if content else "" tool_result = { "type": "tool_result", "tool_use_id": tool_call_id, - "content": content if content else "", + "content": tool_content, } pending_tool_results.append(tool_result) elif role == "assistant": @@ -718,7 +763,12 @@ class AnthropicCompletion(BaseLLM): role_str = role if role is not None else "user" if isinstance(content, list): - formatted_messages.append({"role": role_str, "content": content}) + formatted_messages.append( + { + "role": role_str, + "content": self._convert_image_blocks(content), + } + ) else: content_str = content if content is not None else "" formatted_messages.append( diff --git a/lib/crewai/src/crewai/llms/providers/bedrock/completion.py b/lib/crewai/src/crewai/llms/providers/bedrock/completion.py index 9bb87c6e9..17f2dbd44 100644 --- a/lib/crewai/src/crewai/llms/providers/bedrock/completion.py +++ b/lib/crewai/src/crewai/llms/providers/bedrock/completion.py @@ -1847,7 +1847,10 @@ class BedrockCompletion(BaseLLM): converse_messages.append({"role": "user", "content": pending_tool_results}) # CRITICAL: Handle model-specific conversation requirements - # Cohere and some other models require conversation to end with user message + # Cohere and some other models require conversation to end with user message. + # Anthropic models on Bedrock also reject assistant messages in the final + # position when tools are present ("pre-filling the assistant response is + # not supported"). if converse_messages: last_message = converse_messages[-1] if last_message["role"] == "assistant": @@ -1874,6 +1877,20 @@ class BedrockCompletion(BaseLLM): "content": [{"text": "Continue your response."}], } ) + # Anthropic (Claude) models reject assistant-last messages when + # tools are in the request. Append a user message so the + # Converse API accepts the payload. + elif "anthropic" in self.model.lower() or "claude" in self.model.lower(): + converse_messages.append( + { + "role": "user", + "content": [ + { + "text": "Please continue and provide your final answer." + } + ], + } + ) # Ensure first message is from user (required by Converse API) if not converse_messages: diff --git a/lib/crewai/src/crewai/tools/base_tool.py b/lib/crewai/src/crewai/tools/base_tool.py index 07fa61b07..37e9fba09 100644 --- a/lib/crewai/src/crewai/tools/base_tool.py +++ b/lib/crewai/src/crewai/tools/base_tool.py @@ -5,6 +5,7 @@ import asyncio from collections.abc import Awaitable, Callable from inspect import Parameter, signature import json +import threading from typing import ( Any, Generic, @@ -18,6 +19,7 @@ from pydantic import ( BaseModel as PydanticBaseModel, ConfigDict, Field, + PrivateAttr, create_model, field_validator, ) @@ -94,6 +96,7 @@ class BaseTool(BaseModel, ABC): default=0, description="Current number of times this tool has been used.", ) + _usage_lock: threading.Lock = PrivateAttr(default_factory=threading.Lock) @field_validator("args_schema", mode="before") @classmethod @@ -173,6 +176,25 @@ class BaseTool(BaseModel, ABC): ) from e return kwargs + def _claim_usage(self) -> str | None: + """Atomically check max usage and increment the counter. + + Returns: + None if usage was claimed successfully, or an error message + string if the tool has reached its usage limit. + """ + with self._usage_lock: + if ( + self.max_usage_count is not None + and self.current_usage_count >= self.max_usage_count + ): + return ( + f"Tool '{self.name}' has reached its usage limit of " + f"{self.max_usage_count} times and cannot be used anymore." + ) + self.current_usage_count += 1 + return None + def run( self, *args: Any, @@ -181,13 +203,15 @@ class BaseTool(BaseModel, ABC): if not args: kwargs = self._validate_kwargs(kwargs) + limit_error = self._claim_usage() + if limit_error: + return limit_error + result = self._run(*args, **kwargs) if asyncio.iscoroutine(result): result = asyncio.run(result) - self.current_usage_count += 1 - return result async def arun( @@ -206,9 +230,12 @@ class BaseTool(BaseModel, ABC): """ if not args: kwargs = self._validate_kwargs(kwargs) - result = await self._arun(*args, **kwargs) - self.current_usage_count += 1 - return result + + limit_error = self._claim_usage() + if limit_error: + return limit_error + + return await self._arun(*args, **kwargs) async def _arun( self, @@ -361,12 +388,15 @@ class Tool(BaseTool, Generic[P, R]): if not args: kwargs = self._validate_kwargs(kwargs) # type: ignore[assignment] + limit_error = self._claim_usage() + if limit_error: + return limit_error # type: ignore[return-value] + result = self.func(*args, **kwargs) if asyncio.iscoroutine(result): result = asyncio.run(result) - self.current_usage_count += 1 return result # type: ignore[return-value] def _run(self, *args: P.args, **kwargs: P.kwargs) -> R: @@ -393,9 +423,12 @@ class Tool(BaseTool, Generic[P, R]): """ if not args: kwargs = self._validate_kwargs(kwargs) # type: ignore[assignment] - result = await self._arun(*args, **kwargs) - self.current_usage_count += 1 - return result + + limit_error = self._claim_usage() + if limit_error: + return limit_error # type: ignore[return-value] + + return await self._arun(*args, **kwargs) async def _arun(self, *args: P.args, **kwargs: P.kwargs) -> R: """Executes the wrapped function asynchronously. diff --git a/lib/crewai/src/crewai/translations/en.json b/lib/crewai/src/crewai/translations/en.json index 833f6e9e7..51a862026 100644 --- a/lib/crewai/src/crewai/translations/en.json +++ b/lib/crewai/src/crewai/translations/en.json @@ -74,9 +74,28 @@ "consolidation_user": "New content to consider storing:\n{new_content}\n\nExisting similar memories:\n{records_summary}\n\nReturn the consolidation plan as structured output." }, "reasoning": { - "initial_plan": "You are {role}, a professional with the following background: {backstory}\n\nYour primary goal is: {goal}\n\nAs {role}, you are creating a strategic plan for a task that requires your expertise and unique perspective.", - "refine_plan": "You are {role}, a professional with the following background: {backstory}\n\nYour primary goal is: {goal}\n\nAs {role}, you are refining a strategic plan for a task that requires your expertise and unique perspective.", - "create_plan_prompt": "You are {role} with this background: {backstory}\n\nYour primary goal is: {goal}\n\nYou have been assigned the following task:\n{description}\n\nExpected output:\n{expected_output}\n\nAvailable tools: {tools}\n\nBefore executing this task, create a detailed plan that leverages your expertise as {role} and outlines:\n1. Your understanding of the task from your professional perspective\n2. The key steps you'll take to complete it, drawing on your background and skills\n3. How you'll approach any challenges that might arise, considering your expertise\n4. How you'll strategically use the available tools based on your experience, exactly what tools to use and how to use them\n5. The expected outcome and how it aligns with your goal\n\nAfter creating your plan, assess whether you feel ready to execute the task or if you could do better.\nConclude with one of these statements:\n- \"READY: I am ready to execute the task.\"\n- \"NOT READY: I need to refine my plan because [specific reason].\"", - "refine_plan_prompt": "You are {role} with this background: {backstory}\n\nYour primary goal is: {goal}\n\nYou created the following plan for this task:\n{current_plan}\n\nHowever, you indicated that you're not ready to execute the task yet.\n\nPlease refine your plan further, drawing on your expertise as {role} to address any gaps or uncertainties. As you refine your plan, be specific about which available tools you will use, how you will use them, and why they are the best choices for each step. Clearly outline your tool usage strategy as part of your improved plan.\n\nAfter refining your plan, assess whether you feel ready to execute the task.\nConclude with one of these statements:\n- \"READY: I am ready to execute the task.\"\n- \"NOT READY: I need to refine my plan further because [specific reason].\"" + "initial_plan": "You are {role}. Create a focused execution plan using only the essential steps needed.", + "refine_plan": "You are {role}. Refine your plan to address the specific gap while keeping it minimal.", + "create_plan_prompt": "You are {role}.\n\nTask: {description}\n\nExpected output: {expected_output}\n\nAvailable tools: {tools}\n\nCreate a focused plan with ONLY the essential steps needed. Most tasks require just 2-5 steps. Do NOT pad with unnecessary steps like \"review\", \"verify\", \"document\", or \"finalize\" unless explicitly required.\n\nFor each step, specify the action and which tool to use (if any).\n\nConclude with:\n- \"READY: I am ready to execute the task.\"\n- \"NOT READY: I need to refine my plan because [specific reason].\"", + "refine_plan_prompt": "Your plan:\n{current_plan}\n\nYou indicated you're not ready. Address the specific gap while keeping the plan minimal.\n\nConclude with READY or NOT READY." + }, + "planning": { + "system_prompt": "You are a strategic planning assistant. Create concrete, executable plans where every step produces a verifiable result.", + "create_plan_prompt": "Create an execution plan for the following task:\n\n## Task\n{description}\n\n## Expected Output\n{expected_output}\n\n## Available Tools\n{tools}\n\n## Planning Principles\nFocus on CONCRETE, EXECUTABLE steps. Each step must clearly state WHAT ACTION to take and HOW to verify it succeeded. The number of steps should match the task complexity. Hard limit: {max_steps} steps.\n\n## Rules:\n- Each step must have a clear DONE criterion\n- Do NOT group unrelated actions: if steps can fail independently, keep them separate\n- NO standalone \"thinking\" or \"planning\" steps — act, don't just observe\n- The last step must produce the required output\n\nAfter your plan, state READY or NOT READY.", + "refine_plan_prompt": "Your previous plan:\n{current_plan}\n\nYou indicated you weren't ready. Refine your plan to address the specific gap.\n\nKeep the plan minimal - only add steps that directly address the issue.\n\nConclude with READY or NOT READY as before.", + "observation_system_prompt": "You are a Planning Agent observing execution progress. After each step completes, you analyze what happened and decide whether the remaining plan is still valid.\n\nReason step-by-step about:\n1. Did this step produce a concrete, verifiable result? (file created, command succeeded, service running, etc.) — or did it only explore without acting?\n2. What new information was learned from this step's result?\n3. Whether the remaining steps still make sense given this new information\n4. What refinements, if any, are needed for upcoming steps\n5. Whether the overall goal has already been achieved\n\nCritical: mark `step_completed_successfully=false` if:\n- The step result is only exploratory (ls, pwd, cat) without producing the required artifact or action\n- A command returned a non-zero exit code and the error was not recovered\n- The step description required creating/building/starting something and the result shows it was not done\n\nBe conservative about triggering full replans — only do so when the remaining plan is fundamentally wrong, not just suboptimal.\n\nIMPORTANT: Set step_completed_successfully=false if:\n- The step's stated goal was NOT achieved (even if other things were done)\n- The first meaningful action returned an error (file not found, command not found, etc.)\n- The result is exploration/discovery output rather than the concrete action the step required\n- The step ran out of attempts without producing the required output\nSet needs_full_replan=true if the current plan's remaining steps reference paths or state that don't exist yet and need to be created first.", + "observation_user_prompt": "## Original task\n{task_description}\n\n## Expected output\n{task_goal}\n{completed_summary}\n\n## Just completed step {step_number}\nDescription: {step_description}\nResult: {step_result}\n{remaining_summary}\n\nAnalyze this step's result and provide your observation.", + "step_executor_system_prompt": "You are {role}. {backstory}\n\nYour goal: {goal}\n\nYou are executing ONE specific step in a larger plan. Your ONLY job is to fully complete this step — not to plan ahead.\n\nKey rules:\n- **ACT FIRST.** Execute the primary action of this step immediately. Do NOT read or explore files before attempting the main action unless exploration IS the step's goal.\n- If the step says 'run X', run X NOW. If it says 'write file Y', write Y NOW.\n- If the step requires producing an output file (e.g. /app/move.txt, report.jsonl, summary.csv), you MUST write that file using a tool call — do NOT just state the answer in text.\n- You may use tools MULTIPLE TIMES. After each tool use, check the result. If it failed, try a different approach.\n- Only output your Final Answer AFTER the concrete outcome is verified (file written, build succeeded, command exited 0).\n- If a command is not found or a path does not exist, fix it (different PATH, install missing deps, use absolute paths).\n- Do NOT spend more than 3 tool calls on exploration/analysis before attempting the primary action.{tools_section}", + "step_executor_tools_section": "\n\nAvailable tools: {tool_names}\n\nYou may call tools multiple times in sequence. Use this format for EACH tool call:\nThought: \nAction: \nAction Input: \n\nAfter observing each result, decide: is the step complete? If yes:\nThought: The step is done because \nFinal Answer: ", + "step_executor_user_prompt": "## Current Step\n{step_description}", + "step_executor_suggested_tool": "\nSuggested tool: {tool_to_use}", + "step_executor_context_header": "\n## Context from previous steps:", + "step_executor_context_entry": "Step {step_number} result: {result}", + "step_executor_complete_step": "\n**Execute the primary action of this step NOW.** If the step requires writing a file, write it. If it requires running a command, run it. Verify the outcome with a follow-up tool call, then give your Final Answer. Your Final Answer must confirm what was DONE (file created at path X, command succeeded), not just what should be done.", + "todo_system_prompt": "You are {role}. Your goal: {goal}\n\nYou are executing a specific step in a multi-step plan. Focus only on completing the current step. Use the suggested tool if one is provided. Be concise and provide clear results that can be used by subsequent steps.", + "synthesis_system_prompt": "You are {role}. You have completed a multi-step task. Synthesize the results from all steps into a single, coherent final response that directly addresses the original task. Do NOT list step numbers or say 'Step 1 result'. Produce a clean, polished answer as if you did it all at once.", + "synthesis_user_prompt": "## Original Task\n{task_description}\n\n## Results from each step\n{combined_steps}\n\nSynthesize these results into a single, coherent final answer.", + "replan_enhancement_prompt": "\n\nIMPORTANT: Previous execution attempt did not fully succeed. Please create a revised plan that accounts for the following context from the previous attempt:\n\n{previous_context}\n\nConsider:\n1. What steps succeeded and can be built upon\n2. What steps failed and why they might have failed\n3. Alternative approaches that might work better\n4. Whether dependencies need to be restructured", + "step_executor_task_context": "## Task Context\nThe following is the full task you are helping complete. Keep this in mind — especially any required output files, exact filenames, and expected formats.\n\n{task_context}\n\n---\n" } -} +} \ No newline at end of file diff --git a/lib/crewai/src/crewai/utilities/agent_utils.py b/lib/crewai/src/crewai/utilities/agent_utils.py index e0aee388b..c1a341c39 100644 --- a/lib/crewai/src/crewai/utilities/agent_utils.py +++ b/lib/crewai/src/crewai/utilities/agent_utils.py @@ -4,6 +4,8 @@ import asyncio from collections.abc import Callable, Sequence import concurrent.futures import contextvars +from dataclasses import dataclass, field +from datetime import datetime import inspect import json import re @@ -40,6 +42,7 @@ from crewai.utilities.types import LLMMessage if TYPE_CHECKING: from crewai.agent import Agent from crewai.agents.crew_agent_executor import CrewAgentExecutor + from crewai.agents.tools_handler import ToolsHandler from crewai.experimental.agent_executor import AgentExecutor from crewai.lite_agent import LiteAgent from crewai.llm import LLM @@ -211,6 +214,30 @@ def convert_tools_to_openai_schema( return openai_tools, available_functions, tool_name_mapping +def extract_task_section(text: str) -> str: + """Extract the ## Task body from a structured enriched instruction. + + For structured descriptions (e.g. with ## Task and ## Instructions sections), + extracts just the task body so the caller sees the requirements without + duplicating tool/verification instructions. + + Falls back to the full text (up to 2000 chars, with a truncation marker) + for plain inputs. + """ + for marker in ("\n## Task\n", "\n## Task:", "## Task\n"): + idx = text.find(marker) + if idx >= 0: + start = idx + len(marker) + for end_marker in ("\n---\n", "\n## "): + end = text.find(end_marker, start) + if end > 0: + return text[start:end].strip() + return text[start : start + 2000].strip() + if len(text) > 2000: + return text[:2000] + "\n... [truncated]" + return text + + def has_reached_max_iterations(iterations: int, max_iterations: int) -> bool: """Check if the maximum number of iterations has been reached. @@ -336,6 +363,66 @@ def enforce_rpm_limit( request_within_rpm_limit() +def _prepare_llm_call( + executor_context: CrewAgentExecutor | AgentExecutor | LiteAgent | None, + messages: list[LLMMessage], + printer: Printer, + verbose: bool = True, +) -> list[LLMMessage]: + """Shared pre-call logic: run before hooks and resolve messages. + + Args: + executor_context: Optional executor context for hook invocation. + messages: The messages to send to the LLM. + printer: Printer instance for output. + verbose: Whether to print output. + + Returns: + The resolved messages list (may come from executor_context). + + Raises: + ValueError: If a before hook blocks the call. + """ + if executor_context is not None: + if not _setup_before_llm_call_hooks(executor_context, printer, verbose=verbose): + raise ValueError("LLM call blocked by before_llm_call hook") + messages = executor_context.messages + return messages + + +def _validate_and_finalize_llm_response( + answer: Any, + executor_context: CrewAgentExecutor | AgentExecutor | LiteAgent | None, + printer: Printer, + verbose: bool = True, +) -> str | BaseModel | Any: + """Shared post-call logic: validate response and run after hooks. + + Args: + answer: The raw LLM response. + executor_context: Optional executor context for hook invocation. + printer: Printer instance for output. + verbose: Whether to print output. + + Returns: + The potentially modified response. + + Raises: + ValueError: If the response is None or empty. + """ + if not answer: + if verbose: + printer.print( + content="Received None or empty response from LLM call.", + color="red", + ) + raise ValueError("Invalid response from LLM call - None or empty.") + + return _setup_after_llm_call_hooks( + executor_context, answer, printer, verbose=verbose + ) + + def get_llm_response( llm: LLM | BaseLLM, messages: list[LLMMessage], @@ -372,11 +459,7 @@ def get_llm_response( Exception: If an error occurs. ValueError: If the response is None or empty. """ - - if executor_context is not None: - if not _setup_before_llm_call_hooks(executor_context, printer, verbose=verbose): - raise ValueError("LLM call blocked by before_llm_call hook") - messages = executor_context.messages + messages = _prepare_llm_call(executor_context, messages, printer, verbose=verbose) try: answer = llm.call( @@ -390,16 +473,9 @@ def get_llm_response( ) except Exception as e: raise e - if not answer: - if verbose: - printer.print( - content="Received None or empty response from LLM call.", - color="red", - ) - raise ValueError("Invalid response from LLM call - None or empty.") - return _setup_after_llm_call_hooks( - executor_context, answer, printer, verbose=verbose + return _validate_and_finalize_llm_response( + answer, executor_context, printer, verbose=verbose ) @@ -429,6 +505,7 @@ async def aget_llm_response( from_agent: Optional agent context for the LLM call. response_model: Optional Pydantic model for structured outputs. executor_context: Optional executor context for hook invocation. + verbose: Whether to print output. Returns: The response from the LLM as a string, Pydantic model (when response_model is provided), @@ -438,10 +515,7 @@ async def aget_llm_response( Exception: If an error occurs. ValueError: If the response is None or empty. """ - if executor_context is not None: - if not _setup_before_llm_call_hooks(executor_context, printer, verbose=verbose): - raise ValueError("LLM call blocked by before_llm_call hook") - messages = executor_context.messages + messages = _prepare_llm_call(executor_context, messages, printer, verbose=verbose) try: answer = await llm.acall( @@ -455,16 +529,9 @@ async def aget_llm_response( ) except Exception as e: raise e - if not answer: - if verbose: - printer.print( - content="Received None or empty response from LLM call.", - color="red", - ) - raise ValueError("Invalid response from LLM call - None or empty.") - return _setup_after_llm_call_hooks( - executor_context, answer, printer, verbose=verbose + return _validate_and_finalize_llm_response( + answer, executor_context, printer, verbose=verbose ) @@ -1159,6 +1226,372 @@ def extract_tool_call_info( return None +def is_tool_call_list(response: list[Any]) -> bool: + """Check if a response from the LLM is a list of tool calls. + + Supports OpenAI, Anthropic, Bedrock, and Gemini formats. + + Args: + response: The response to check. + + Returns: + True if the response appears to be a list of tool calls. + """ + if not response: + return False + first_item = response[0] + # OpenAI-style + if hasattr(first_item, "function") or ( + isinstance(first_item, dict) and "function" in first_item + ): + return True + # Anthropic-style (ToolUseBlock) + if hasattr(first_item, "type") and getattr(first_item, "type", None) == "tool_use": + return True + if hasattr(first_item, "name") and hasattr(first_item, "input"): + return True + # Bedrock-style + if isinstance(first_item, dict) and "name" in first_item and "input" in first_item: + return True + # Gemini-style + if hasattr(first_item, "function_call") and first_item.function_call: + return True + return False + + +def check_native_tool_support(llm: Any, original_tools: list[BaseTool] | None) -> bool: + """Check if the LLM supports native function calling and tools are available. + + Args: + llm: The LLM instance. + original_tools: Original BaseTool instances. + + Returns: + True if native function calling is supported and tools exist. + """ + return ( + hasattr(llm, "supports_function_calling") + and callable(getattr(llm, "supports_function_calling", None)) + and llm.supports_function_calling() + and bool(original_tools) + ) + + +def setup_native_tools( + original_tools: list[BaseTool], +) -> tuple[ + list[dict[str, Any]], + dict[str, Callable[..., Any]], + dict[str, BaseTool | CrewStructuredTool], +]: + """Convert tools to OpenAI schema format for native function calling. + + Args: + original_tools: Original BaseTool instances. + + Returns: + Tuple of (openai_tools_schema, available_functions_dict, tool_name_mapping). + """ + return convert_tools_to_openai_schema(original_tools) + + +def build_tool_calls_assistant_message( + tool_calls: list[Any], +) -> tuple[LLMMessage | None, list[dict[str, Any]]]: + """Build an assistant message containing tool call reports. + + Extracts info from each tool call, builds the standard assistant message + format, and preserves raw Gemini parts when applicable. + + Args: + tool_calls: Raw tool call objects from the LLM response. + + Returns: + Tuple of (assistant_message, tool_calls_to_report). + assistant_message is None if no valid tool calls found. + """ + tool_calls_to_report: list[dict[str, Any]] = [] + for tool_call in tool_calls: + info = extract_tool_call_info(tool_call) + if not info: + continue + call_id, func_name, func_args = info + tool_calls_to_report.append( + { + "id": call_id, + "type": "function", + "function": { + "name": func_name, + "arguments": func_args + if isinstance(func_args, str) + else json.dumps(func_args), + }, + } + ) + + if not tool_calls_to_report: + return None, [] + + assistant_message: LLMMessage = { + "role": "assistant", + "content": None, + "tool_calls": tool_calls_to_report, + } + # Preserve raw parts for Gemini compatibility + if all(type(tc).__qualname__ == "Part" for tc in tool_calls): + assistant_message["raw_tool_call_parts"] = list(tool_calls) + + return assistant_message, tool_calls_to_report + + +@dataclass +class NativeToolCallResult: + """Result from executing a single native tool call.""" + + call_id: str + func_name: str + result: str + from_cache: bool = False + result_as_answer: bool = False + tool_message: LLMMessage = field(default_factory=dict) # type: ignore[assignment] + + +def execute_single_native_tool_call( + tool_call: Any, + *, + available_functions: dict[str, Callable[..., Any]], + original_tools: list[BaseTool], + structured_tools: list[CrewStructuredTool] | None, + tools_handler: ToolsHandler | None, + agent: Agent | None, + task: Task | None, + crew: Any | None, + event_source: Any, + printer: Printer | None = None, + verbose: bool = False, +) -> NativeToolCallResult: + """Execute a single native tool call with full lifecycle management. + + Handles: arg parsing, tool lookup, max-usage check, cache read/write, + before/after hooks, event emission, and result_as_answer detection. + + Args: + tool_call: Raw tool call object from the LLM. + available_functions: Map of sanitized tool name -> callable. + original_tools: Original BaseTool list (for cache_function, result_as_answer). + structured_tools: Structured tools list (for hook context). + tools_handler: Optional handler with cache. + agent: The agent instance. + task: The current task. + crew: The crew instance. + event_source: The object to use as event emitter source. + printer: Optional printer for verbose logging. + verbose: Whether to print verbose output. + + Returns: + NativeToolCallResult with all execution details. + """ + from crewai.events.event_bus import crewai_event_bus + from crewai.events.types.tool_usage_events import ( + ToolUsageErrorEvent, + ToolUsageFinishedEvent, + ToolUsageStartedEvent, + ) + from crewai.hooks.tool_hooks import ( + ToolCallHookContext, + get_after_tool_call_hooks, + get_before_tool_call_hooks, + ) + + info = extract_tool_call_info(tool_call) + if not info: + return NativeToolCallResult( + call_id="", func_name="", result="Unrecognized tool call format" + ) + + call_id, func_name, func_args = info + + # Parse arguments + if isinstance(func_args, str): + try: + args_dict = json.loads(func_args) + except json.JSONDecodeError: + args_dict = {} + else: + args_dict = func_args + + agent_key = getattr(agent, "key", "unknown") if agent else "unknown" + + # Find original tool for cache_function and result_as_answer + original_tool: BaseTool | None = None + for tool in original_tools: + if sanitize_tool_name(tool.name) == func_name: + original_tool = tool + break + + # Check cache + from_cache = False + input_str = json.dumps(args_dict) if args_dict else "" + result = "Tool not found" + + if tools_handler and tools_handler.cache: + cached_result = tools_handler.cache.read(tool=func_name, input=input_str) + if cached_result is not None: + result = ( + str(cached_result) + if not isinstance(cached_result, str) + else cached_result + ) + from_cache = True + + # Emit tool started event + started_at = datetime.now() + crewai_event_bus.emit( + event_source, + event=ToolUsageStartedEvent( + tool_name=func_name, + tool_args=args_dict, + from_agent=agent, + from_task=task, + agent_key=agent_key, + ), + ) + + track_delegation_if_needed(func_name, args_dict, task) + + # Find structured tool for hooks + structured_tool: CrewStructuredTool | None = None + for structured in structured_tools or []: + if sanitize_tool_name(structured.name) == func_name: + structured_tool = structured + break + + # Before hooks + hook_blocked = False + before_hook_context = ToolCallHookContext( + tool_name=func_name, + tool_input=args_dict, + tool=structured_tool, # type: ignore[arg-type] + agent=agent, + task=task, + crew=crew, + ) + try: + for hook in get_before_tool_call_hooks(): + if hook(before_hook_context) is False: + hook_blocked = True + break + except Exception: # noqa: S110 + pass + + error_event_emitted = False + if hook_blocked: + result = f"Tool execution blocked by hook. Tool: {func_name}" + elif not from_cache: + if func_name in available_functions: + try: + tool_func = available_functions[func_name] + raw_result = tool_func(**args_dict) + + # Cache result + if tools_handler and tools_handler.cache: + should_cache = True + if original_tool: + should_cache = original_tool.cache_function( + args_dict, raw_result + ) + if should_cache: + tools_handler.cache.add( + tool=func_name, input=input_str, output=raw_result + ) + + result = ( + str(raw_result) if not isinstance(raw_result, str) else raw_result + ) + except Exception as e: + result = f"Error executing tool: {e}" + if task: + task.increment_tools_errors() + crewai_event_bus.emit( + event_source, + event=ToolUsageErrorEvent( + tool_name=func_name, + tool_args=args_dict, + from_agent=agent, + from_task=task, + agent_key=agent_key, + error=e, + ), + ) + error_event_emitted = True + + # After hooks + after_hook_context = ToolCallHookContext( + tool_name=func_name, + tool_input=args_dict, + tool=structured_tool, # type: ignore[arg-type] + agent=agent, + task=task, + crew=crew, + tool_result=result, + ) + try: + for after_hook in get_after_tool_call_hooks(): + hook_result = after_hook(after_hook_context) + if hook_result is not None: + result = hook_result + after_hook_context.tool_result = result + except Exception: # noqa: S110 + pass + + # Emit tool finished event (only if error event wasn't already emitted) + if not error_event_emitted: + crewai_event_bus.emit( + event_source, + event=ToolUsageFinishedEvent( + output=result, + tool_name=func_name, + tool_args=args_dict, + from_agent=agent, + from_task=task, + agent_key=agent_key, + started_at=started_at, + finished_at=datetime.now(), + ), + ) + + # Build tool result message + tool_message: LLMMessage = { + "role": "tool", + "tool_call_id": call_id, + "name": func_name, + "content": result, + } + + if verbose and printer: + cache_info = " (from cache)" if from_cache else "" + printer.print( + content=f"Tool {func_name} executed with result{cache_info}: {result[:200]}...", + color="green", + ) + + # Check result_as_answer + is_result_as_answer = bool( + original_tool + and hasattr(original_tool, "result_as_answer") + and original_tool.result_as_answer + ) + + return NativeToolCallResult( + call_id=call_id, + func_name=func_name, + result=result, + from_cache=from_cache, + result_as_answer=is_result_as_answer, + tool_message=tool_message, + ) + + def parse_tool_call_args( func_args: dict[str, Any] | str, func_name: str, diff --git a/lib/crewai/src/crewai/utilities/i18n.py b/lib/crewai/src/crewai/utilities/i18n.py index e7a94ea7a..623d8a22e 100644 --- a/lib/crewai/src/crewai/utilities/i18n.py +++ b/lib/crewai/src/crewai/utilities/i18n.py @@ -104,6 +104,7 @@ class I18N(BaseModel): "errors", "tools", "reasoning", + "planning", "hierarchical_manager_agent", "memory", ], diff --git a/lib/crewai/src/crewai/utilities/planning_types.py b/lib/crewai/src/crewai/utilities/planning_types.py new file mode 100644 index 000000000..e5c72ab24 --- /dev/null +++ b/lib/crewai/src/crewai/utilities/planning_types.py @@ -0,0 +1,279 @@ +"""Types for agent planning and todo tracking.""" + +from __future__ import annotations + +from typing import Literal +from uuid import uuid4 + +from pydantic import BaseModel, Field, field_validator + + +# Todo status type +TodoStatus = Literal["pending", "running", "completed", "failed"] + + +class PlanStep(BaseModel): + """A single step in the reasoning plan.""" + + step_number: int = Field(description="Step number (1-based)") + description: str = Field(description="What to do in this step") + tool_to_use: str | None = Field( + default=None, description="Tool to use for this step, if any" + ) + depends_on: list[int] = Field( + default_factory=list, description="Step numbers this step depends on" + ) + + +class TodoItem(BaseModel): + """A single todo item representing a step in the execution plan.""" + + id: str = Field(default_factory=lambda: str(uuid4())) + step_number: int = Field(description="Order of this step in the plan (1-based)") + description: str = Field(description="What needs to be done") + tool_to_use: str | None = Field( + default=None, description="Tool to use for this step, if any" + ) + status: TodoStatus = Field(default="pending", description="Current status") + depends_on: list[int] = Field( + default_factory=list, description="Step numbers this depends on" + ) + result: str | None = Field( + default=None, description="Result after completion, if any" + ) + + +class TodoList(BaseModel): + """Collection of todos for tracking plan execution.""" + + items: list[TodoItem] = Field(default_factory=list) + + @property + def current_todo(self) -> TodoItem | None: + """Get the currently running todo item.""" + for item in self.items: + if item.status == "running": + return item + return None + + @property + def next_pending(self) -> TodoItem | None: + """Get the next pending todo item.""" + for item in self.items: + if item.status == "pending": + return item + return None + + @property + def is_complete(self) -> bool: + """Check if all todos are in a terminal state (completed or failed).""" + return len(self.items) > 0 and all( + item.status in ("completed", "failed") for item in self.items + ) + + @property + def pending_count(self) -> int: + """Count of pending todos.""" + return sum(1 for item in self.items if item.status == "pending") + + @property + def completed_count(self) -> int: + """Count of completed todos.""" + return sum(1 for item in self.items if item.status == "completed") + + def get_by_step_number(self, step_number: int) -> TodoItem | None: + """Get a todo by its step number.""" + for item in self.items: + if item.step_number == step_number: + return item + return None + + def mark_running(self, step_number: int) -> None: + """Mark a todo as running by step number.""" + item = self.get_by_step_number(step_number) + if item: + item.status = "running" + + def mark_completed(self, step_number: int, result: str | None = None) -> None: + """Mark a todo as completed by step number.""" + item = self.get_by_step_number(step_number) + if item: + item.status = "completed" + if result is not None: + item.result = result + + def mark_failed(self, step_number: int, result: str | None = None) -> None: + """Mark a todo as failed by step number.""" + item = self.get_by_step_number(step_number) + if item: + item.status = "failed" + if result is not None: + item.result = result + + def _dependencies_satisfied(self, item: TodoItem) -> bool: + """Check if all dependencies for a todo item are in a terminal state. + + A dependency is satisfied when it has finished executing — either + successfully (completed) or not (failed). This prevents downstream + todos from being permanently blocked when a dependency fails. + The executor/observer is responsible for deciding whether to skip, + replan, or continue when a dependency has failed. + + Args: + item: The todo item to check dependencies for. + + Returns: + True if all dependencies are in a terminal state, False otherwise. + """ + for dep_num in item.depends_on: + dep = self.get_by_step_number(dep_num) + if dep is None or dep.status not in ("completed", "failed"): + return False + return True + + def get_ready_todos(self) -> list[TodoItem]: + """Get all todos that are ready to execute (pending with satisfied dependencies). + + Returns: + List of TodoItem objects that can be executed now. + """ + ready: list[TodoItem] = [] + for item in self.items: + if item.status != "pending": + continue + if self._dependencies_satisfied(item): + ready.append(item) + return ready + + @property + def can_parallelize(self) -> bool: + """Check if multiple todos can run in parallel. + + Returns: + True if more than one todo is ready to execute. + """ + return len(self.get_ready_todos()) > 1 + + @property + def running_count(self) -> int: + """Count of currently running todos.""" + return sum(1 for item in self.items if item.status == "running") + + def get_completed_todos(self) -> list[TodoItem]: + """Get all completed todos. + + Returns: + List of completed TodoItem objects. + """ + return [item for item in self.items if item.status == "completed"] + + def get_failed_todos(self) -> list[TodoItem]: + """Get all failed todos. + + Returns: + List of failed TodoItem objects. + """ + return [item for item in self.items if item.status == "failed"] + + def get_pending_todos(self) -> list[TodoItem]: + """Get all pending todos. + + Returns: + List of pending TodoItem objects. + """ + return [item for item in self.items if item.status == "pending"] + + def replace_pending_todos(self, new_items: list[TodoItem]) -> None: + """Replace all pending todos with new items. + + Preserves completed, failed, and running todos, replaces only pending ones. + Used during replanning to swap in a new plan for remaining work. + + Args: + new_items: The new todo items to replace pending ones. + """ + non_pending = [item for item in self.items if item.status != "pending"] + self.items = non_pending + new_items + + +class StepRefinement(BaseModel): + """A structured in-place update for a single pending step. + + Returned as part of StepObservation when the Planner learns new + information that makes a pending step description more specific. + Applied directly — no second LLM call required. + """ + + step_number: int = Field(description="The step number to update (1-based)") + new_description: str = Field( + description="The updated, more specific description for this step" + ) + + +class StepObservation(BaseModel): + """Planner's observation after a step execution completes. + + Returned by the PlannerObserver after EVERY step — not just failures. + The Planner uses this to decide whether to continue, refine, or replan. + + Based on PLAN-AND-ACT (Section 3.3): the Planner observes what the Executor + did and incorporates new information into the remaining plan. + + Attributes: + step_completed_successfully: Whether the step achieved its objective. + key_information_learned: New information revealed by this step + (e.g., "Found 3 products: A, B, C"). Used to refine upcoming steps. + remaining_plan_still_valid: Whether pending todos still make sense + given the new information. True does NOT mean no refinement needed. + suggested_refinements: Structured in-place updates to pending step + descriptions. Each entry targets a specific step by number. These + are applied directly without a second LLM call. + Example: [{"step_number": 3, "new_description": "Select product B (highest rated)"}] + needs_full_replan: The remaining plan is fundamentally wrong and must + be regenerated from scratch. Mutually exclusive with + remaining_plan_still_valid (if this is True, that should be False). + replan_reason: Explanation of why a full replan is needed (None if not). + goal_already_achieved: The overall task goal has been satisfied early. + No more steps needed — skip remaining todos and finalize. + """ + + step_completed_successfully: bool = Field( + description="Whether the step achieved what it was asked to do" + ) + key_information_learned: str = Field( + default="", + description="What new information this step revealed", + ) + remaining_plan_still_valid: bool = Field( + default=True, + description="Whether the remaining pending todos still make sense given new information", + ) + suggested_refinements: list[StepRefinement] | None = Field( + default=None, + description=( + "Structured updates to pending step descriptions based on new information. " + "Each entry specifies a step_number and new_description. " + "Applied directly — no separate replan needed." + ), + ) + + @field_validator("suggested_refinements", mode="before") + @classmethod + def coerce_single_refinement_to_list(cls, v): + """Coerce a single dict refinement into a list to handle LLM returning a single object.""" + if isinstance(v, dict): + return [v] + return v + + needs_full_replan: bool = Field( + default=False, + description="The remaining plan is fundamentally wrong and must be regenerated", + ) + replan_reason: str | None = Field( + default=None, + description="Explanation of why a full replan is needed", + ) + goal_already_achieved: bool = Field( + default=False, + description="The overall task goal has been satisfied early; no more steps needed", + ) diff --git a/lib/crewai/src/crewai/utilities/reasoning_handler.py b/lib/crewai/src/crewai/utilities/reasoning_handler.py index e9bb62997..e0e6751f4 100644 --- a/lib/crewai/src/crewai/utilities/reasoning_handler.py +++ b/lib/crewai/src/crewai/utilities/reasoning_handler.py @@ -1,10 +1,13 @@ +"""Handles planning/reasoning for agents before task execution.""" + +from __future__ import annotations + import json import logging -from typing import Any, Final, Literal, cast +from typing import TYPE_CHECKING, Any, Final, Literal, cast from pydantic import BaseModel, Field -from crewai.agent import Agent from crewai.events.event_bus import crewai_event_bus from crewai.events.types.reasoning_events import ( AgentReasoningCompletedEvent, @@ -12,14 +15,24 @@ from crewai.events.types.reasoning_events import ( AgentReasoningStartedEvent, ) from crewai.llm import LLM -from crewai.task import Task +from crewai.utilities.llm_utils import create_llm +from crewai.utilities.planning_types import PlanStep from crewai.utilities.string_utils import sanitize_tool_name +if TYPE_CHECKING: + from crewai.agent import Agent + from crewai.agent.planning_config import PlanningConfig + from crewai.task import Task + + class ReasoningPlan(BaseModel): """Model representing a reasoning plan for a task.""" plan: str = Field(description="The detailed reasoning plan for the task.") + steps: list[PlanStep] = Field( + default_factory=list, description="Structured steps to execute" + ) ready: bool = Field(description="Whether the agent is ready to execute the task.") @@ -29,24 +42,63 @@ class AgentReasoningOutput(BaseModel): plan: ReasoningPlan = Field(description="The reasoning plan for the task.") +# Aliases for backward compatibility +PlanningPlan = ReasoningPlan +AgentPlanningOutput = AgentReasoningOutput + + FUNCTION_SCHEMA: Final[dict[str, Any]] = { "type": "function", "function": { "name": "create_reasoning_plan", - "description": "Create or refine a reasoning plan for a task", + "description": "Create or refine a reasoning plan for a task with structured steps", "parameters": { "type": "object", "properties": { "plan": { "type": "string", - "description": "The detailed reasoning plan for the task.", + "description": "A brief summary of the overall plan.", + }, + "steps": { + "type": "array", + "description": "List of discrete steps to execute the plan", + "items": { + "type": "object", + "properties": { + "step_number": { + "type": "integer", + "description": "Step number (1-based)", + }, + "description": { + "type": "string", + "description": "What to do in this step", + }, + "tool_to_use": { + "type": ["string", "null"], + "description": "Tool to use for this step, or null if no tool needed", + }, + "depends_on": { + "type": "array", + "items": {"type": "integer"}, + "description": "Step numbers this step depends on (empty array if none)", + }, + }, + "required": [ + "step_number", + "description", + "tool_to_use", + "depends_on", + ], + "additionalProperties": False, + }, }, "ready": { "type": "boolean", "description": "Whether the agent is ready to execute the task.", }, }, - "required": ["plan", "ready"], + "required": ["plan", "steps", "ready"], + "additionalProperties": False, }, }, } @@ -54,41 +106,101 @@ FUNCTION_SCHEMA: Final[dict[str, Any]] = { class AgentReasoning: """ - Handles the agent reasoning process, enabling an agent to reflect and create a plan - before executing a task. + Handles the agent planning/reasoning process, enabling an agent to reflect + and create a plan before executing a task. Attributes: - task: The task for which the agent is reasoning. - agent: The agent performing the reasoning. - llm: The language model used for reasoning. + task: The task for which the agent is planning (optional). + agent: The agent performing the planning. + config: The planning configuration. + llm: The language model used for planning. logger: Logger for logging events and errors. + description: Task description or input text for planning. + expected_output: Expected output description. """ - def __init__(self, task: Task, agent: Agent) -> None: - """Initialize the AgentReasoning with a task and an agent. + def __init__( + self, + agent: Agent, + task: Task | None = None, + *, + description: str | None = None, + expected_output: str | None = None, + ) -> None: + """Initialize the AgentReasoning with an agent and optional task. Args: - task: The task for which the agent is reasoning. - agent: The agent performing the reasoning. + agent: The agent performing the planning. + task: The task for which the agent is planning (optional). + description: Task description or input text (used if task is None). + expected_output: Expected output (used if task is None). """ - self.task = task self.agent = agent - self.llm = cast(LLM, agent.llm) + self.task = task + # Use task attributes if available, otherwise use provided values + self._description = description or ( + task.description if task else "Complete the requested task" + ) + self._expected_output = expected_output or ( + task.expected_output if task else "Complete the task successfully" + ) + self.config = self._get_planning_config() + self.llm = self._resolve_llm() self.logger = logging.getLogger(__name__) - def handle_agent_reasoning(self) -> AgentReasoningOutput: - """Public method for the reasoning process that creates and refines a plan for the task until the agent is ready to execute it. + @property + def description(self) -> str: + """Get the task/input description.""" + return self._description + + @property + def expected_output(self) -> str: + """Get the expected output.""" + return self._expected_output + + def _get_planning_config(self) -> PlanningConfig: + """Get the planning configuration from the agent. Returns: - AgentReasoningOutput: The output of the agent reasoning process. + The planning configuration, using defaults if not set. """ - # Emit a reasoning started event (attempt 1) + from crewai.agent.planning_config import PlanningConfig + + if self.agent.planning_config is not None: + return self.agent.planning_config + # Fallback for backward compatibility + return PlanningConfig( + max_attempts=getattr(self.agent, "max_reasoning_attempts", None), + ) + + def _resolve_llm(self) -> LLM: + """Resolve which LLM to use for planning. + + Returns: + The LLM to use - either from config or the agent's LLM. + """ + if self.config.llm is not None: + if isinstance(self.config.llm, LLM): + return self.config.llm + return create_llm(self.config.llm) + return cast(LLM, self.agent.llm) + + def handle_agent_reasoning(self) -> AgentReasoningOutput: + """Public method for the planning process that creates and refines a plan + for the task until the agent is ready to execute it. + + Returns: + AgentReasoningOutput: The output of the agent planning process. + """ + task_id = str(self.task.id) if self.task else "kickoff" + + # Emit a planning started event (attempt 1) try: crewai_event_bus.emit( self.agent, AgentReasoningStartedEvent( agent_role=self.agent.role, - task_id=str(self.task.id), + task_id=task_id, attempt=1, from_task=self.task, ), @@ -98,13 +210,13 @@ class AgentReasoning: pass try: - output = self.__handle_agent_reasoning() + output = self._execute_planning() crewai_event_bus.emit( self.agent, AgentReasoningCompletedEvent( agent_role=self.agent.role, - task_id=str(self.task.id), + task_id=task_id, plan=output.plan.plan, ready=output.plan.ready, attempt=1, @@ -115,135 +227,158 @@ class AgentReasoning: return output except Exception as e: - # Emit reasoning failed event + # Emit planning failed event try: crewai_event_bus.emit( self.agent, AgentReasoningFailedEvent( agent_role=self.agent.role, - task_id=str(self.task.id), + task_id=task_id, error=str(e), attempt=1, from_task=self.task, from_agent=self.agent, ), ) - except Exception as e: - logging.error(f"Error emitting reasoning failed event: {e}") + except Exception as event_error: + logging.error(f"Error emitting planning failed event: {event_error}") raise - def __handle_agent_reasoning(self) -> AgentReasoningOutput: - """Private method that handles the agent reasoning process. + def _execute_planning(self) -> AgentReasoningOutput: + """Execute the planning process. Returns: - The output of the agent reasoning process. + The output of the agent planning process. """ - plan, ready = self.__create_initial_plan() + plan, steps, ready = self._create_initial_plan() + plan, steps, ready = self._refine_plan_if_needed(plan, steps, ready) - plan, ready = self.__refine_plan_if_needed(plan, ready) - - reasoning_plan = ReasoningPlan(plan=plan, ready=ready) + reasoning_plan = ReasoningPlan(plan=plan, steps=steps, ready=ready) return AgentReasoningOutput(plan=reasoning_plan) - def __create_initial_plan(self) -> tuple[str, bool]: - """Creates the initial reasoning plan for the task. + def _create_initial_plan(self) -> tuple[str, list[PlanStep], bool]: + """Creates the initial plan for the task. Returns: - The initial plan and whether the agent is ready to execute the task. + A tuple of the plan summary, list of steps, and whether the agent is ready. """ - reasoning_prompt = self.__create_reasoning_prompt() + planning_prompt = self._create_planning_prompt() if self.llm.supports_function_calling(): - plan, ready = self.__call_with_function(reasoning_prompt, "initial_plan") - return plan, ready - response = _call_llm_with_reasoning_prompt( - llm=self.llm, - prompt=reasoning_prompt, - task=self.task, - reasoning_agent=self.agent, - backstory=self.__get_agent_backstory(), - plan_type="initial_plan", + plan, steps, ready = self._call_with_function( + planning_prompt, "create_plan" + ) + return plan, steps, ready + + response = self._call_llm_with_prompt( + prompt=planning_prompt, + plan_type="create_plan", ) - return self.__parse_reasoning_response(str(response)) + plan, ready = self._parse_planning_response(str(response)) + return plan, [], ready # No structured steps from text parsing - def __refine_plan_if_needed(self, plan: str, ready: bool) -> tuple[str, bool]: - """Refines the reasoning plan if the agent is not ready to execute the task. + def _refine_plan_if_needed( + self, plan: str, steps: list[PlanStep], ready: bool + ) -> tuple[str, list[PlanStep], bool]: + """Refines the plan if the agent is not ready to execute the task. Args: - plan: The current reasoning plan. + plan: The current plan. + steps: The current list of steps. ready: Whether the agent is ready to execute the task. Returns: - The refined plan and whether the agent is ready to execute the task. + The refined plan, steps, and whether the agent is ready to execute. """ + attempt = 1 - max_attempts = self.agent.max_reasoning_attempts + max_attempts = self.config.max_attempts + task_id = str(self.task.id) if self.task else "kickoff" while not ready and (max_attempts is None or attempt < max_attempts): + attempt += 1 + # Emit event for each refinement attempt try: crewai_event_bus.emit( self.agent, AgentReasoningStartedEvent( agent_role=self.agent.role, - task_id=str(self.task.id), - attempt=attempt + 1, + task_id=task_id, + attempt=attempt, from_task=self.task, ), ) except Exception: # noqa: S110 pass - refine_prompt = self.__create_refine_prompt(plan) + refine_prompt = self._create_refine_prompt(plan) if self.llm.supports_function_calling(): - plan, ready = self.__call_with_function(refine_prompt, "refine_plan") + plan, steps, ready = self._call_with_function( + refine_prompt, "refine_plan" + ) else: - response = _call_llm_with_reasoning_prompt( - llm=self.llm, + response = self._call_llm_with_prompt( prompt=refine_prompt, - task=self.task, - reasoning_agent=self.agent, - backstory=self.__get_agent_backstory(), plan_type="refine_plan", ) - plan, ready = self.__parse_reasoning_response(str(response)) + plan, ready = self._parse_planning_response(str(response)) + steps = [] # No structured steps from text parsing - attempt += 1 + # Emit completed event for this refinement attempt + try: + crewai_event_bus.emit( + self.agent, + AgentReasoningCompletedEvent( + agent_role=self.agent.role, + task_id=task_id, + plan=plan, + ready=ready, + attempt=attempt, + from_task=self.task, + from_agent=self.agent, + ), + ) + except Exception: # noqa: S110 + pass if max_attempts is not None and attempt >= max_attempts: self.logger.warning( - f"Agent reasoning reached maximum attempts ({max_attempts}) without being ready. Proceeding with current plan." + f"Agent planning reached maximum attempts ({max_attempts}) " + "without being ready. Proceeding with current plan." ) break - return plan, ready + return plan, steps, ready - def __call_with_function(self, prompt: str, prompt_type: str) -> tuple[str, bool]: - """Calls the LLM with function calling to get a reasoning plan. + def _call_with_function( + self, prompt: str, plan_type: Literal["create_plan", "refine_plan"] + ) -> tuple[str, list[PlanStep], bool]: + """Calls the LLM with function calling to get a plan. Args: prompt: The prompt to send to the LLM. - prompt_type: The type of prompt (initial_plan or refine_plan). + plan_type: The type of plan being created. Returns: - A tuple containing the plan and whether the agent is ready. + A tuple containing the plan summary, list of steps, and whether the agent is ready. """ - self.logger.debug(f"Using function calling for {prompt_type} reasoning") + self.logger.debug(f"Using function calling for {plan_type} planning") try: - system_prompt = self.agent.i18n.retrieve("reasoning", prompt_type).format( - role=self.agent.role, - goal=self.agent.goal, - backstory=self.__get_agent_backstory(), - ) + system_prompt = self._get_system_prompt() # Prepare a simple callable that just returns the tool arguments as JSON - def _create_reasoning_plan(plan: str, ready: bool = True) -> str: - """Return the reasoning plan result in JSON string form.""" - return json.dumps({"plan": plan, "ready": ready}) + def _create_reasoning_plan( + plan: str, + steps: list[dict[str, Any]] | None = None, + ready: bool = True, + ) -> str: + """Return the planning result in JSON string form.""" + return json.dumps({"plan": plan, "steps": steps or [], "ready": ready}) response = self.llm.call( [ @@ -255,19 +390,33 @@ class AgentReasoning: from_task=self.task, from_agent=self.agent, ) - - self.logger.debug(f"Function calling response: {response[:100]}...") - try: result = json.loads(response) if "plan" in result and "ready" in result: - return result["plan"], result["ready"] + # Parse steps from the response + steps: list[PlanStep] = [] + raw_steps = result.get("steps", []) + try: + for step_data in raw_steps: + step = PlanStep( + step_number=step_data.get("step_number", 0), + description=step_data.get("description", ""), + tool_to_use=step_data.get("tool_to_use"), + depends_on=step_data.get("depends_on", []), + ) + steps.append(step) + except Exception as step_error: + self.logger.warning( + f"Failed to parse step: {step_data}, error: {step_error}" + ) + return result["plan"], steps, result["ready"] except (json.JSONDecodeError, KeyError): pass response_str = str(response) return ( response_str, + [], "READY: I am ready to execute the task." in response_str, ) @@ -277,13 +426,7 @@ class AgentReasoning: ) try: - system_prompt = self.agent.i18n.retrieve( - "reasoning", prompt_type - ).format( - role=self.agent.role, - goal=self.agent.goal, - backstory=self.__get_agent_backstory(), - ) + system_prompt = self._get_system_prompt() fallback_response = self.llm.call( [ @@ -297,78 +440,165 @@ class AgentReasoning: fallback_str = str(fallback_response) return ( fallback_str, + [], "READY: I am ready to execute the task." in fallback_str, ) except Exception as inner_e: self.logger.error(f"Error during fallback text parsing: {inner_e!s}") return ( "Failed to generate a plan due to an error.", + [], True, ) # Default to ready to avoid getting stuck - def __get_agent_backstory(self) -> str: - """ - Safely gets the agent's backstory, providing a default if not available. + def _call_llm_with_prompt( + self, + prompt: str, + plan_type: Literal["create_plan", "refine_plan"], + ) -> str: + """Calls the LLM with the planning prompt. + + Args: + prompt: The prompt to send to the LLM. + plan_type: The type of plan being created. Returns: - str: The agent's backstory or a default value. + The LLM response. + """ + system_prompt = self._get_system_prompt() + + response = self.llm.call( + [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": prompt}, + ], + from_task=self.task, + from_agent=self.agent, + ) + return str(response) + + def _get_system_prompt(self) -> str: + """Get the system prompt for planning. + + Returns: + The system prompt, either custom or from i18n. + """ + if self.config.system_prompt is not None: + return self.config.system_prompt + + # Try new "planning" section first, fall back to "reasoning" for compatibility + try: + return self.agent.i18n.retrieve("planning", "system_prompt") + except (KeyError, AttributeError): + # Fallback to reasoning section for backward compatibility + return self.agent.i18n.retrieve("reasoning", "initial_plan").format( + role=self.agent.role, + goal=self.agent.goal, + backstory=self._get_agent_backstory(), + ) + + def _get_agent_backstory(self) -> str: + """Safely gets the agent's backstory, providing a default if not available. + + Returns: + The agent's backstory or a default value. """ return getattr(self.agent, "backstory", "No backstory provided") - def __create_reasoning_prompt(self) -> str: - """ - Creates a prompt for the agent to reason about the task. + def _create_planning_prompt(self) -> str: + """Creates a prompt for the agent to plan the task. Returns: - str: The reasoning prompt. + The planning prompt. """ - available_tools = self.__format_available_tools() + available_tools = self._format_available_tools() - return self.agent.i18n.retrieve("reasoning", "create_plan_prompt").format( - role=self.agent.role, - goal=self.agent.goal, - backstory=self.__get_agent_backstory(), - description=self.task.description, - expected_output=self.task.expected_output, - tools=available_tools, - ) + # Use custom prompt if provided + if self.config.plan_prompt is not None: + return self.config.plan_prompt.format( + role=self.agent.role, + goal=self.agent.goal, + backstory=self._get_agent_backstory(), + description=self.description, + expected_output=self.expected_output, + tools=available_tools, + max_steps=self.config.max_steps, + ) - def __format_available_tools(self) -> str: - """ - Formats the available tools for inclusion in the prompt. + # Try new "planning" section first + try: + return self.agent.i18n.retrieve("planning", "create_plan_prompt").format( + description=self.description, + expected_output=self.expected_output, + tools=available_tools, + max_steps=self.config.max_steps, + ) + except (KeyError, AttributeError): + # Fallback to reasoning section for backward compatibility + return self.agent.i18n.retrieve("reasoning", "create_plan_prompt").format( + role=self.agent.role, + goal=self.agent.goal, + backstory=self._get_agent_backstory(), + description=self.description, + expected_output=self.expected_output, + tools=available_tools, + ) + + def _format_available_tools(self) -> str: + """Formats the available tools for inclusion in the prompt. Returns: - str: Comma-separated list of tool names. + Comma-separated list of tool names. """ try: - return ", ".join( - [sanitize_tool_name(tool.name) for tool in (self.task.tools or [])] - ) + # Try task tools first, then agent tools + tools = [] + if self.task: + tools = self.task.tools or [] + if not tools: + tools = getattr(self.agent, "tools", []) or [] + if not tools: + return "No tools available" + return ", ".join([sanitize_tool_name(tool.name) for tool in tools]) except (AttributeError, TypeError): return "No tools available" - def __create_refine_prompt(self, current_plan: str) -> str: - """ - Creates a prompt for the agent to refine its reasoning plan. + def _create_refine_prompt(self, current_plan: str) -> str: + """Creates a prompt for the agent to refine its plan. Args: - current_plan: The current reasoning plan. + current_plan: The current plan. Returns: - str: The refine prompt. + The refine prompt. """ - return self.agent.i18n.retrieve("reasoning", "refine_plan_prompt").format( - role=self.agent.role, - goal=self.agent.goal, - backstory=self.__get_agent_backstory(), - current_plan=current_plan, - ) + # Use custom prompt if provided + if self.config.refine_prompt is not None: + return self.config.refine_prompt.format( + role=self.agent.role, + goal=self.agent.goal, + backstory=self._get_agent_backstory(), + current_plan=current_plan, + max_steps=self.config.max_steps, + ) + + # Try new "planning" section first + try: + return self.agent.i18n.retrieve("planning", "refine_plan_prompt").format( + current_plan=current_plan, + ) + except (KeyError, AttributeError): + # Fallback to reasoning section for backward compatibility + return self.agent.i18n.retrieve("reasoning", "refine_plan_prompt").format( + role=self.agent.role, + goal=self.agent.goal, + backstory=self._get_agent_backstory(), + current_plan=current_plan, + ) @staticmethod - def __parse_reasoning_response(response: str) -> tuple[str, bool]: - """ - Parses the reasoning response to extract the plan and whether - the agent is ready to execute the task. + def _parse_planning_response(response: str) -> tuple[str, bool]: + """Parses the planning response to extract the plan and readiness. Args: response: The LLM response. @@ -380,25 +610,13 @@ class AgentReasoning: return "No plan was generated.", False plan = response - ready = False - - if "READY: I am ready to execute the task." in response: - ready = True + ready = "READY: I am ready to execute the task." in response return plan, ready - def _handle_agent_reasoning(self) -> AgentReasoningOutput: - """ - Deprecated method for backward compatibility. - Use handle_agent_reasoning() instead. - Returns: - AgentReasoningOutput: The output of the agent reasoning process. - """ - self.logger.warning( - "The _handle_agent_reasoning method is deprecated. Use handle_agent_reasoning instead." - ) - return self.handle_agent_reasoning() +# Alias for backward compatibility +AgentPlanning = AgentReasoning def _call_llm_with_reasoning_prompt( @@ -409,7 +627,9 @@ def _call_llm_with_reasoning_prompt( backstory: str, plan_type: Literal["initial_plan", "refine_plan"], ) -> str: - """Calls the LLM with the reasoning prompt. + """Deprecated: Calls the LLM with the reasoning prompt. + + This function is kept for backward compatibility. Args: llm: The language model to use. @@ -417,7 +637,7 @@ def _call_llm_with_reasoning_prompt( task: The task for which the agent is reasoning. reasoning_agent: The agent performing the reasoning. backstory: The agent's backstory. - plan_type: The type of plan being created ("initial_plan" or "refine_plan"). + plan_type: The type of plan being created. Returns: The LLM response. diff --git a/lib/crewai/src/crewai/utilities/step_execution_context.py b/lib/crewai/src/crewai/utilities/step_execution_context.py new file mode 100644 index 000000000..39e3acd92 --- /dev/null +++ b/lib/crewai/src/crewai/utilities/step_execution_context.py @@ -0,0 +1,64 @@ +"""Context and result types for isolated step execution in Plan-and-Execute architecture. + +These types mediate between the AgentExecutor (orchestrator) and StepExecutor (per-step worker). +StepExecutionContext carries only final results from dependencies — never LLM message histories. +StepResult carries only the outcome of a step — never internal execution traces. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field + + +@dataclass(frozen=True) +class StepExecutionContext: + """Immutable context passed to a StepExecutor for a single todo. + + Contains only the information the Executor needs to complete one step: + the task description, goal, and final results from dependency steps. + No LLM message history, no execution traces, no shared mutable state. + + Attributes: + task_description: The original task description (from Task or kickoff input). + task_goal: The expected output / goal of the overall task. + dependency_results: Mapping of step_number → final result string + for all completed dependencies of the current step. + """ + + task_description: str + task_goal: str + dependency_results: dict[int, str] = field(default_factory=dict) + + def get_dependency_result(self, step_number: int) -> str | None: + """Get the final result of a dependency step. + + Args: + step_number: The step number to look up. + + Returns: + The result string if available, None otherwise. + """ + return self.dependency_results.get(step_number) + + +@dataclass(frozen=True) +class StepResult: + """Result returned by a StepExecutor after executing a single todo. + + Contains the final outcome and metadata for debugging/metrics. + Tool call details are for audit logging only — they are NOT passed + to subsequent steps or the Planner. + + Attributes: + success: Whether the step completed successfully. + result: The final output string from the step. + error: Error message if the step failed (None on success). + tool_calls_made: List of tool names invoked (for debugging/logging only). + execution_time: Wall-clock time in seconds for the step execution. + """ + + success: bool + result: str + error: str | None = None + tool_calls_made: list[str] = field(default_factory=list) + execution_time: float = 0.0 diff --git a/lib/crewai/tests/agents/test_agent.py b/lib/crewai/tests/agents/test_agent.py index 4f6a84602..a3aab28d6 100644 --- a/lib/crewai/tests/agents/test_agent.py +++ b/lib/crewai/tests/agents/test_agent.py @@ -1456,7 +1456,7 @@ def test_agent_execute_task_with_tool(): ) result = agent.execute_task(task) - assert "you should always think about what to do" in result + assert "test query" in result @pytest.mark.vcr() @@ -1475,9 +1475,9 @@ def test_agent_execute_task_with_custom_llm(): ) result = agent.execute_task(task) - assert "In circuits they thrive" in result - assert "Artificial minds awake" in result - assert "Future's coded drive" in result + assert "Artificial minds" in result + assert "Code and circuits" in result + assert "Future undefined" in result @pytest.mark.vcr() diff --git a/lib/crewai/tests/agents/test_agent_executor.py b/lib/crewai/tests/agents/test_agent_executor.py index ab886ff38..97bd4003f 100644 --- a/lib/crewai/tests/agents/test_agent_executor.py +++ b/lib/crewai/tests/agents/test_agent_executor.py @@ -4,33 +4,56 @@ Tests the Flow-based agent executor implementation including state management, flow methods, routing logic, and error handling. """ +import asyncio import time -from unittest.mock import Mock, patch +from unittest.mock import AsyncMock, Mock, patch import pytest +from crewai.agents.step_executor import StepExecutor +from crewai.agents.planner_observer import PlannerObserver from crewai.experimental.agent_executor import ( - AgentReActState, + AgentExecutorState, AgentExecutor, ) from crewai.agents.parser import AgentAction, AgentFinish +from crewai.events.event_bus import crewai_event_bus +from crewai.events.types.tool_usage_events import ( + ToolUsageFinishedEvent, + ToolUsageStartedEvent, +) +from crewai.tools.tool_types import ToolResult +from crewai.utilities.step_execution_context import StepExecutionContext +from crewai.utilities.planning_types import TodoItem -class TestAgentReActState: - """Test AgentReActState Pydantic model.""" +class TestAgentExecutorState: + """Test AgentExecutorState Pydantic model.""" def test_state_initialization(self): - """Test AgentReActState initialization with defaults.""" - state = AgentReActState() + """Test AgentExecutorState initialization with defaults.""" + state = AgentExecutorState() assert state.iterations == 0 assert state.messages == [] assert state.current_answer is None assert state.is_finished is False assert state.ask_for_human_input is False + # Planning state fields + assert state.plan is None + assert state.plan_ready is False + + def test_state_with_plan(self): + """Test AgentExecutorState initialization with planning fields.""" + state = AgentExecutorState( + plan="Step 1: Do X\nStep 2: Do Y", + plan_ready=True, + ) + assert state.plan == "Step 1: Do X\nStep 2: Do Y" + assert state.plan_ready is True def test_state_with_values(self): - """Test AgentReActState initialization with values.""" + """Test AgentExecutorState initialization with values.""" messages = [{"role": "user", "content": "test"}] - state = AgentReActState( + state = AgentExecutorState( messages=messages, iterations=5, current_answer=AgentFinish(thought="thinking", output="done", text="final"), @@ -123,7 +146,7 @@ class TestAgentExecutor: executor.state.iterations = 10 result = executor.check_max_iterations() - assert result == "max_iterations_exceeded" + assert result == "force_final_answer" def test_route_by_answer_type_action(self, mock_dependencies): """Test routing for AgentAction.""" @@ -180,6 +203,88 @@ class TestAgentExecutor: assert result == "skipped" assert executor.state.is_finished is False + def test_finalize_skips_synthesis_for_strong_last_todo_result( + self, mock_dependencies + ): + """Finalize should skip synthesis when last todo is already a complete answer.""" + with patch.object(AgentExecutor, "_show_logs") as mock_show_logs: + executor = AgentExecutor(**mock_dependencies) + executor.state.todos.items = [ + TodoItem( + step_number=1, + description="Gather source details", + tool_to_use="search_tool", + status="completed", + result="Source A and Source B identified.", + ), + TodoItem( + step_number=2, + description="Write final response", + tool_to_use=None, + status="completed", + result=( + "The final recommendation is to adopt a phased rollout plan with " + "weekly checkpoints, explicit ownership, and a rollback path for " + "each milestone. This approach keeps risk controlled while still " + "moving quickly, and it aligns delivery metrics with stakeholder " + "communication and operational readiness." + ), + ), + ] + + with patch.object( + executor, "_synthesize_final_answer_from_todos" + ) as mock_synthesize: + result = executor.finalize() + + assert result == "completed" + assert isinstance(executor.state.current_answer, AgentFinish) + assert ( + executor.state.current_answer.output + == executor.state.todos.items[1].result + ) + assert executor.state.is_finished is True + mock_synthesize.assert_not_called() + mock_show_logs.assert_called_once() + + def test_finalize_keeps_synthesis_when_response_model_is_set( + self, mock_dependencies + ): + """Finalize should still synthesize when response_model is configured.""" + with patch.object(AgentExecutor, "_show_logs"): + executor = AgentExecutor(**mock_dependencies) + executor.response_model = Mock() + executor.state.todos.items = [ + TodoItem( + step_number=1, + description="Write final response", + tool_to_use=None, + status="completed", + result=( + "This is already detailed prose with multiple sentences. " + "It should still run synthesis because structured output " + "was requested via response_model." + ), + ) + ] + + def _set_current_answer() -> None: + executor.state.current_answer = AgentFinish( + thought="Synthesized", + output="structured-like-answer", + text="structured-like-answer", + ) + + with patch.object( + executor, + "_synthesize_final_answer_from_todos", + side_effect=_set_current_answer, + ) as mock_synthesize: + result = executor.finalize() + + assert result == "completed" + mock_synthesize.assert_called_once() + def test_format_prompt(self, mock_dependencies): """Test prompt formatting.""" executor = AgentExecutor(**mock_dependencies) @@ -234,6 +339,143 @@ class TestAgentExecutor: AgentFinish(thought="thinking", output="test", text="final") ) + @pytest.mark.asyncio + async def test_invoke_step_callback_async_inside_running_loop( + self, mock_dependencies + ): + """Test async step callback scheduling when already in an event loop.""" + callback = AsyncMock() + mock_dependencies["step_callback"] = callback + executor = AgentExecutor(**mock_dependencies) + + answer = AgentFinish(thought="thinking", output="test", text="final") + with patch("crewai.experimental.agent_executor.asyncio.run") as mock_run: + executor._invoke_step_callback(answer) + await asyncio.sleep(0) + + callback.assert_awaited_once_with(answer) + mock_run.assert_not_called() + + +class TestStepExecutorCriticalFixes: + """Regression tests for critical plan-and-execute issues.""" + + @pytest.fixture + def mock_dependencies(self): + """Create mock dependencies for AgentExecutor tests in this class.""" + llm = Mock() + llm.supports_stop_words.return_value = True + + task = Mock() + task.description = "Test task" + + crew = Mock() + agent = Mock() + agent.role = "Test Agent" + agent.verbose = False + + prompt = {"prompt": "Test {input}"} + + return { + "llm": llm, + "task": task, + "crew": crew, + "agent": agent, + "prompt": prompt, + "max_iter": 10, + "tools": [], + "tools_names": "", + "stop_words": [], + "tools_description": "", + "tools_handler": Mock(), + } + + @pytest.fixture + def step_executor(self): + llm = Mock() + llm.supports_stop_words.return_value = True + + agent = Mock() + agent.role = "Test Agent" + agent.goal = "Execute tasks" + agent.verbose = False + agent.key = "test-agent-key" + + tool = Mock() + tool.name = "count_words" + task = Mock() + task.name = "test-task" + task.description = "test task description" + + return StepExecutor( + llm=llm, + tools=[tool], + agent=agent, + original_tools=[], + tools_handler=Mock(), + task=task, + crew=Mock(), + function_calling_llm=None, + request_within_rpm_limit=None, + callbacks=[], + ) + + def test_step_executor_fails_when_expected_tool_is_not_called(self, step_executor): + """Step should fail if a configured expected tool is not actually invoked.""" + todo = TodoItem( + step_number=1, + description="Count words in input text.", + tool_to_use="count_words", + depends_on=[], + status="pending", + ) + context = StepExecutionContext(task_description="task", task_goal="goal") + + with patch.object(step_executor, "_build_isolated_messages", return_value=[]): + with patch.object( + step_executor, "_execute_text_parsed", return_value="No tool used." + ): + result = step_executor.execute(todo, context) + + assert result.success is False + assert result.error is not None + assert "Expected tool 'count_words' was not called" in result.error + + def test_step_executor_text_tool_emits_usage_events(self, step_executor): + """Text-parsed tool execution should emit started and finished events.""" + started_events: list[ToolUsageStartedEvent] = [] + finished_events: list[ToolUsageFinishedEvent] = [] + + tool_name = "count_words" + action = AgentAction( + thought="Need a tool", + tool=tool_name, + tool_input='{"text":"hello world"}', + text="Action: count_words", + ) + + @crewai_event_bus.on(ToolUsageStartedEvent) + def _on_started(_source, event): + if event.tool_name == tool_name: + started_events.append(event) + + @crewai_event_bus.on(ToolUsageFinishedEvent) + def _on_finished(_source, event): + if event.tool_name == tool_name: + finished_events.append(event) + + with patch( + "crewai.agents.step_executor.execute_tool_and_check_finality", + return_value=ToolResult(result="2", result_as_answer=False), + ): + output = step_executor._execute_text_tool_with_events(action) + + crewai_event_bus.flush() + + assert output == "2" + assert len(started_events) >= 1 + assert len(finished_events) >= 1 + @patch("crewai.experimental.agent_executor.handle_output_parser_exception") def test_recover_from_parser_error( self, mock_handle_exception, mock_dependencies @@ -636,3 +878,1126 @@ class TestNativeToolExecution: tool_messages = [m for m in executor.state.messages if m.get("role") == "tool"] assert len(tool_messages) == 1 assert tool_messages[0]["tool_call_id"] == "call_1" + + def test_check_native_todo_completion_requires_current_todo( + self, mock_dependencies + ): + from crewai.utilities.planning_types import TodoList + + executor = AgentExecutor(**mock_dependencies) + + # No current todo → not satisfied + executor.state.todos = TodoList(items=[]) + assert executor.check_native_todo_completion() == "todo_not_satisfied" + + # With a current todo that has tool_to_use → satisfied + running = TodoItem( + step_number=1, + description="Use the expected tool", + tool_to_use="expected_tool", + status="running", + ) + executor.state.todos = TodoList(items=[running]) + assert executor.check_native_todo_completion() == "todo_satisfied" + + # With a current todo without tool_to_use → still satisfied + running.tool_to_use = None + assert executor.check_native_todo_completion() == "todo_satisfied" + + +class TestPlannerObserver: + def test_observe_fallback_is_conservative_on_llm_error(self): + llm = Mock() + llm.call.side_effect = RuntimeError("llm unavailable") + + agent = Mock() + agent.role = "Observer Test Agent" + agent.llm = llm + agent.planning_config = None + + task = Mock() + task.description = "Test task" + task.expected_output = "Expected result" + + observer = PlannerObserver(agent=agent, task=task) + + completed_step = TodoItem( + step_number=1, + description="Do something", + status="running", + ) + observation = observer.observe( + completed_step=completed_step, + result="Error: tool timeout", + all_completed=[], + remaining_todos=[], + ) + + # When the observer LLM fails, the fallback is conservative: + # assume the step succeeded and continue (don't wipe the plan). + assert observation.step_completed_successfully is True + assert observation.remaining_plan_still_valid is True + assert observation.needs_full_replan is False + + +class TestAgentExecutorPlanning: + """Test planning functionality in AgentExecutor with real agent kickoff.""" + + @pytest.mark.vcr() + def test_agent_kickoff_with_planning_stores_plan_in_state(self): + """Test that Agent.kickoff() with planning enabled stores plan in executor state.""" + from crewai import Agent, PlanningConfig + from crewai.llm import LLM + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Assistant", + goal="Help solve simple math problems", + backstory="A helpful assistant that solves math problems step by step", + llm=llm, + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + # Execute kickoff with a simple task + result = agent.kickoff("What is 2 + 2?") + + # Verify result + assert result is not None + assert "4" in str(result) + + @pytest.mark.vcr() + def test_agent_kickoff_without_planning_skips_plan_generation(self): + """Test that Agent.kickoff() without planning skips planning phase.""" + from crewai import Agent + from crewai.llm import LLM + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Assistant", + goal="Help solve simple math problems", + backstory="A helpful assistant", + llm=llm, + # No planning_config = no planning + verbose=False, + ) + + # Execute kickoff + result = agent.kickoff("What is 3 + 3?") + + # Verify we get a result + assert result is not None + assert "6" in str(result) + + @pytest.mark.vcr() + def test_planning_disabled_skips_planning(self): + """Test that planning=False skips planning.""" + from crewai import Agent + from crewai.llm import LLM + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Assistant", + goal="Help solve simple math problems", + backstory="A helpful assistant", + llm=llm, + planning=False, # Explicitly disable planning + verbose=False, + ) + + result = agent.kickoff("What is 5 + 5?") + + # Should still complete successfully + assert result is not None + assert "10" in str(result) + + def test_backward_compat_reasoning_true_enables_planning(self): + """Test that reasoning=True (deprecated) still enables planning.""" + import warnings + from crewai import Agent + from crewai.llm import LLM + + llm = LLM("gpt-4o-mini") + + with warnings.catch_warnings(record=True): + warnings.simplefilter("always") + agent = Agent( + role="Test Agent", + goal="Complete tasks", + backstory="A helpful agent", + llm=llm, + reasoning=True, # Deprecated but should still work + verbose=False, + ) + + # Should have planning_config created from reasoning=True + assert agent.planning_config is not None + assert agent.planning_enabled is True + + @pytest.mark.vcr() + def test_executor_state_contains_plan_after_planning(self): + """Test that executor state contains plan after planning phase.""" + from crewai import Agent, PlanningConfig + from crewai.llm import LLM + from crewai.experimental.agent_executor import AgentExecutor + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Assistant", + goal="Help solve simple math problems", + backstory="A helpful assistant that solves math problems step by step", + llm=llm, + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + # Track executor for inspection + executor_ref = [None] + original_invoke = AgentExecutor.invoke + + def capture_executor(self, inputs): + executor_ref[0] = self + return original_invoke(self, inputs) + + with patch.object(AgentExecutor, "invoke", capture_executor): + result = agent.kickoff("What is 7 + 7?") + + # Verify result + assert result is not None + + # If we captured an executor, check its state + if executor_ref[0] is not None: + # After planning, state should have plan info + assert hasattr(executor_ref[0].state, "plan") + assert hasattr(executor_ref[0].state, "plan_ready") + + @pytest.mark.vcr() + def test_planning_creates_minimal_steps_for_multi_step_task(self): + """Test that planning creates steps and executes them for a multi-step task. + + This task requires multiple dependent steps: + 1. Identify the first 3 prime numbers (2, 3, 5) + 2. Sum them (2 + 3 + 5 = 10) + 3. Multiply by 2 (10 * 2 = 20) + + The plan-and-execute architecture should produce step results. + """ + from crewai import Agent, PlanningConfig + from crewai.llm import LLM + from crewai.experimental.agent_executor import AgentExecutor + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Tutor", + goal="Solve multi-step math problems accurately", + backstory="An expert math tutor who breaks down problems step by step", + llm=llm, + planning_config=PlanningConfig(max_attempts=1, max_steps=10), + verbose=False, + ) + + # Track the plan that gets generated + captured_plan = [None] + original_invoke = AgentExecutor.invoke + + def capture_plan(self, inputs): + result = original_invoke(self, inputs) + captured_plan[0] = self.state.plan + return result + + with patch.object(AgentExecutor, "invoke", capture_plan): + result = agent.kickoff( + "Calculate the sum of the first 3 prime numbers, then multiply that result by 2. " + "Show your work for each step." + ) + + # Verify we got a result with step outputs + assert result is not None + result_str = str(result) + # Should contain at least some mathematical content from the steps + assert "prime" in result_str.lower() or "2" in result_str or "10" in result_str + + # Verify a plan was generated + assert captured_plan[0] is not None + + @pytest.mark.vcr() + def test_planning_handles_sequential_dependency_task(self): + """Test planning for a task where step N depends on step N-1. + + Task: Convert 100 Celsius to Fahrenheit, then round to nearest 10. + Step 1: Apply formula (C * 9/5 + 32) = 212 + Step 2: Round 212 to nearest 10 = 210 + + This tests that the planner creates a plan and executes steps. + """ + from crewai import Agent, PlanningConfig + from crewai.llm import LLM + from crewai.experimental.agent_executor import AgentExecutor + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Unit Converter", + goal="Accurately convert between units and apply transformations", + backstory="A precise unit conversion specialist", + llm=llm, + planning_config=PlanningConfig(max_attempts=1, max_steps=10), + verbose=False, + ) + + captured_plan = [None] + original_invoke = AgentExecutor.invoke + + def capture_plan(self, inputs): + result = original_invoke(self, inputs) + captured_plan[0] = self.state.plan + return result + + with patch.object(AgentExecutor, "invoke", capture_plan): + result = agent.kickoff( + "Convert 100 degrees Celsius to Fahrenheit, then round the result to the nearest 10." + ) + + assert result is not None + result_str = str(result) + # Should contain conversion-related content + assert "212" in result_str or "210" in result_str or "Fahrenheit" in result_str or "celsius" in result_str.lower() + + # Plan should exist + assert captured_plan[0] is not None + + +class TestResponseFormatWithKickoff: + """Test that Agent.kickoff(response_format=MyModel) returns structured output. + + Real LLM calls via VCR cassettes. Tests both with and without planning, + using real tools for the planning case to exercise the full Plan-and-Execute + path including synthesis with response_model. + """ + + @pytest.mark.vcr() + def test_kickoff_response_format_without_planning(self): + """Test that kickoff(response_format) returns structured output without planning.""" + from pydantic import BaseModel, Field + from crewai import Agent + from crewai.llm import LLM + + class MathResult(BaseModel): + answer: int = Field(description="The numeric answer") + explanation: str = Field(description="Brief explanation of the solution") + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Assistant", + goal="Solve math problems and return structured results", + backstory="A precise math assistant that always returns structured data", + llm=llm, + verbose=False, + ) + + result = agent.kickoff("What is 15 + 27?", response_format=MathResult) + + assert result is not None + assert result.pydantic is not None + assert isinstance(result.pydantic, MathResult) + assert result.pydantic.answer == 42 + assert len(result.pydantic.explanation) > 0 + + @pytest.mark.vcr() + def test_kickoff_response_format_with_planning_and_tools(self): + """Test response_format with planning + tools (multi-step research). + + This is the key test for _synthesize_final_answer_from_todos: + 1. Planning generates steps that use the EXA search tool + 2. StepExecutor runs each step in isolation with tool calls + 3. The synthesis step produces a structured BaseModel output + + The response_format should be respected by the synthesis LLM call, + NOT by intermediate step executions. + """ + from pydantic import BaseModel, Field + from crewai import Agent, PlanningConfig + from crewai.llm import LLM + from crewai_tools import EXASearchTool + + class ResearchSummary(BaseModel): + topic: str = Field(description="The research topic") + key_findings: list[str] = Field(description="List of 3-5 key findings") + conclusion: str = Field(description="A brief conclusion paragraph") + + llm = LLM("gpt-4o-mini") + exa = EXASearchTool() + + agent = Agent( + role="Research Analyst", + goal="Research topics using search tools and produce structured summaries", + backstory=( + "You are a research analyst who searches the web for information, " + "identifies key findings, and produces structured research summaries." + ), + llm=llm, + planning_config=PlanningConfig(max_attempts=1, max_steps=5), + tools=[exa], + verbose=False, + ) + + result = agent.kickoff( + "Research the current state of autonomous AI agents in 2025. " + "Search for recent developments, then summarize the key findings.", + response_format=ResearchSummary, + ) + + assert result is not None + # The synthesis step should have produced structured output + assert result.pydantic is not None + assert isinstance(result.pydantic, ResearchSummary) + # Verify the structured fields are populated + assert len(result.pydantic.topic) > 0 + assert len(result.pydantic.key_findings) >= 1 + assert len(result.pydantic.conclusion) > 0 + + @pytest.mark.vcr() + def test_kickoff_no_response_format_returns_raw_text(self): + """Test that kickoff without response_format returns plain text.""" + from crewai import Agent + from crewai.llm import LLM + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Assistant", + goal="Solve math problems", + backstory="A helpful math assistant", + llm=llm, + verbose=False, + ) + + result = agent.kickoff("What is 10 + 10?") + + assert result is not None + assert result.pydantic is None + assert "20" in str(result) + + +class TestReasoningEffort: + """Test reasoning_effort levels in PlanningConfig. + + - low: observe() runs (validates step success), but skip decide/replan/refine + - medium: observe() runs, replan on failure only (mocked) + - high: full observation pipeline with decide/replan/refine/goal-achieved + """ + + @pytest.mark.vcr() + def test_reasoning_effort_low_skips_decide_and_replan(self): + """Low effort: observe runs but decide/replan/refine are never called. + + Verifies that with reasoning_effort='low': + 1. The agent produces a correct result + 2. The observation phase still runs (observations are stored) + 3. The decide_next_action/refine/replan pipeline is bypassed + """ + from crewai import Agent, PlanningConfig + from crewai.llm import LLM + from crewai.experimental.agent_executor import AgentExecutor + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Tutor", + goal="Solve multi-step math problems accurately", + backstory="An expert math tutor who breaks down problems step by step", + llm=llm, + planning_config=PlanningConfig( + reasoning_effort="low", + max_attempts=1, + max_steps=10, + ), + verbose=False, + ) + + # Capture the executor to inspect state after execution + executor_ref = [None] + original_invoke = AgentExecutor.invoke + + def capture_executor(self, inputs): + result = original_invoke(self, inputs) + executor_ref[0] = self + return result + + with patch.object(AgentExecutor, "invoke", capture_executor): + result = agent.kickoff( + "What is the sum of the first 3 prime numbers (2, 3, 5)?" + ) + + assert result is not None + assert "10" in str(result) + + # Verify observations were still collected (observe() ran) + executor = executor_ref[0] + if executor is not None and executor.state.todos.items: + assert len(executor.state.observations) > 0, ( + "Low effort should still run observe() to validate steps" + ) + + # Verify no replan was triggered + assert executor.state.replan_count == 0, ( + "Low effort should never trigger replanning" + ) + + # Check execution log for reasoning_effort annotation + observation_logs = [ + log for log in executor.state.execution_log + if log.get("type") == "observation" + ] + for log in observation_logs: + assert log.get("reasoning_effort") == "low" + + @pytest.mark.vcr() + def test_reasoning_effort_high_runs_full_observation_pipeline(self): + """High effort: full observation pipeline with decide/replan/refine. + + Verifies that with reasoning_effort='high': + 1. The agent produces a correct result + 2. Observations are stored + 3. The full decide_next_action pipeline runs (the observation-driven + routing is exercised, even if it just routes to continue_plan) + """ + from crewai import Agent, PlanningConfig + from crewai.llm import LLM + from crewai.experimental.agent_executor import AgentExecutor + + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Tutor", + goal="Solve multi-step math problems accurately", + backstory="An expert math tutor who breaks down problems step by step", + llm=llm, + planning_config=PlanningConfig( + reasoning_effort="high", + max_attempts=1, + max_steps=10, + ), + verbose=False, + ) + + executor_ref = [None] + original_invoke = AgentExecutor.invoke + + def capture_executor(self, inputs): + result = original_invoke(self, inputs) + executor_ref[0] = self + return result + + with patch.object(AgentExecutor, "invoke", capture_executor): + result = agent.kickoff( + "What is the sum of the first 3 prime numbers (2, 3, 5)?" + ) + + assert result is not None + assert "10" in str(result) + + # Verify observations were collected + executor = executor_ref[0] + if executor is not None and executor.state.todos.items: + assert len(executor.state.observations) > 0, ( + "High effort should run observe() on every step" + ) + + # Check execution log shows high reasoning_effort + observation_logs = [ + log for log in executor.state.execution_log + if log.get("type") == "observation" + ] + for log in observation_logs: + assert log.get("reasoning_effort") == "high" + + def test_reasoning_effort_medium_replans_on_failure(self): + """Medium effort: replan triggered when observation reports failure. + + This test mocks the PlannerObserver to simulate a failed step, + verifying that medium effort routes to replan_now on failure + but continues on success. + """ + from crewai.experimental.agent_executor import AgentExecutor + from crewai.utilities.planning_types import ( + StepObservation, + TodoItem, + TodoList, + ) + + # --- Build a minimal mock executor with medium effort --- + executor = Mock(spec=AgentExecutor) + executor.agent = Mock() + executor.agent.verbose = False + executor.agent.planning_config = Mock() + executor.agent.planning_config.reasoning_effort = "medium" + + # Provide the real method under test (bound to our mock) + executor.handle_step_observed_medium = ( + AgentExecutor.handle_step_observed_medium.__get__(executor) + ) + executor._printer = Mock() + + # --- Case 1: step succeeded → should return "continue_plan" --- + success_todo = TodoItem( + step_number=1, + description="Calculate something", + status="running", + result="42", + ) + success_observation = StepObservation( + step_completed_successfully=True, + key_information_learned="Got the answer", + remaining_plan_still_valid=True, + ) + + # Set up state + todo_list = TodoList(items=[success_todo]) + executor.state = Mock() + executor.state.todos = todo_list + executor.state.observations = {1: success_observation} + + route = executor.handle_step_observed_medium() + assert route == "continue_plan", ( + "Medium effort should continue on successful step" + ) + assert success_todo.status == "completed" + + # --- Case 2: step failed → should return "replan_now" --- + failed_todo = TodoItem( + step_number=2, + description="Divide by zero", + status="running", + result="Error: division by zero", + ) + failed_observation = StepObservation( + step_completed_successfully=False, + key_information_learned="Division failed", + remaining_plan_still_valid=False, + needs_full_replan=True, + replan_reason="Step failed with error", + ) + + todo_list_2 = TodoList(items=[failed_todo]) + executor.state.todos = todo_list_2 + executor.state.observations = {2: failed_observation} + executor.state.last_replan_reason = None + + route = executor.handle_step_observed_medium() + assert route == "replan_now", ( + "Medium effort should trigger replan on failed step" + ) + assert executor.state.last_replan_reason == "Step failed with error" + + def test_reasoning_effort_low_marks_complete_without_deciding(self): + """Low effort: mark_completed is called, decide_next_action is not. + + Unit test verifying the low handler's behavior directly. + """ + from crewai.experimental.agent_executor import AgentExecutor + from crewai.utilities.planning_types import TodoItem, TodoList + + executor = Mock(spec=AgentExecutor) + executor.agent = Mock() + executor.agent.verbose = False + executor.agent.planning_config = Mock() + executor.agent.planning_config.reasoning_effort = "low" + + # Bind the real method + executor.handle_step_observed_low = ( + AgentExecutor.handle_step_observed_low.__get__(executor) + ) + executor._printer = Mock() + + todo = TodoItem( + step_number=1, + description="Do something", + status="running", + result="Done successfully", + ) + todo_list = TodoList(items=[todo]) + executor.state = Mock() + executor.state.todos = todo_list + + route = executor.handle_step_observed_low() + assert route == "continue_plan" + assert todo.status == "completed" + assert todo.result == "Done successfully" + + def test_planning_config_reasoning_effort_default_is_medium(self): + """Verify PlanningConfig defaults reasoning_effort to 'medium' + (aligned with runtime default in _get_reasoning_effort).""" + from crewai.agent.planning_config import PlanningConfig + + config = PlanningConfig() + assert config.reasoning_effort == "medium" + + def test_planning_config_reasoning_effort_validation(self): + """Verify PlanningConfig rejects invalid reasoning_effort values.""" + from pydantic import ValidationError + from crewai.agent.planning_config import PlanningConfig + + with pytest.raises(ValidationError): + PlanningConfig(reasoning_effort="ultra") + + # Valid values should work + for level in ("low", "medium", "high"): + config = PlanningConfig(reasoning_effort=level) + assert config.reasoning_effort == level + + def test_get_reasoning_effort_reads_from_config(self): + """Verify _get_reasoning_effort reads from agent.planning_config.""" + from crewai.experimental.agent_executor import AgentExecutor + + executor = Mock(spec=AgentExecutor) + executor._get_reasoning_effort = ( + AgentExecutor._get_reasoning_effort.__get__(executor) + ) + + # Case 1: planning_config with reasoning_effort set + executor.agent = Mock() + executor.agent.planning_config = Mock() + executor.agent.planning_config.reasoning_effort = "high" + assert executor._get_reasoning_effort() == "high" + + # Case 2: no planning_config → defaults to "medium" + executor.agent.planning_config = None + assert executor._get_reasoning_effort() == "medium" + + # Case 3: planning_config without reasoning_effort attr → defaults to "medium" + executor.agent.planning_config = Mock(spec=[]) + assert executor._get_reasoning_effort() == "medium" + + + +class TestObserverResponseParsing: + """PlannerObserver must correctly parse LLM responses regardless of + the format returned (StepObservation, JSON string, dict).""" + + def test_parse_step_observation_instance(self): + """Direct StepObservation instance passes through unchanged.""" + from crewai.agents.planner_observer import PlannerObserver + from crewai.utilities.planning_types import StepObservation + + obs = StepObservation( + step_completed_successfully=False, + key_information_learned="disk full", + remaining_plan_still_valid=False, + needs_full_replan=True, + replan_reason="disk is full", + ) + result = PlannerObserver._parse_observation_response(obs) + assert result is obs + assert result.step_completed_successfully is False + assert result.needs_full_replan is True + + def test_parse_json_string(self): + """JSON string from non-streaming LLM path is parsed correctly.""" + import json + + from crewai.agents.planner_observer import PlannerObserver + from crewai.utilities.planning_types import StepObservation + + payload = { + "step_completed_successfully": False, + "key_information_learned": "command not found", + "remaining_plan_still_valid": True, + "needs_full_replan": False, + } + json_str = json.dumps(payload) + result = PlannerObserver._parse_observation_response(json_str) + + assert isinstance(result, StepObservation) + assert result.step_completed_successfully is False + assert result.key_information_learned == "command not found" + assert result.remaining_plan_still_valid is True + + def test_parse_json_string_with_markdown_fences(self): + """JSON wrapped in ```json ... ``` fences is handled.""" + import json + + from crewai.agents.planner_observer import PlannerObserver + from crewai.utilities.planning_types import StepObservation + + payload = { + "step_completed_successfully": True, + "key_information_learned": "found 3 files", + "remaining_plan_still_valid": True, + } + fenced = f"```json\n{json.dumps(payload)}\n```" + result = PlannerObserver._parse_observation_response(fenced) + + assert isinstance(result, StepObservation) + assert result.step_completed_successfully is True + assert result.key_information_learned == "found 3 files" + + def test_parse_dict_response(self): + """Dict response from some provider paths is parsed correctly.""" + from crewai.agents.planner_observer import PlannerObserver + from crewai.utilities.planning_types import StepObservation + + payload = { + "step_completed_successfully": False, + "key_information_learned": "timeout", + "remaining_plan_still_valid": False, + "needs_full_replan": True, + "replan_reason": "step timed out", + } + result = PlannerObserver._parse_observation_response(payload) + + assert isinstance(result, StepObservation) + assert result.step_completed_successfully is False + assert result.needs_full_replan is True + assert result.replan_reason == "step timed out" + + def test_parse_unparseable_falls_back_gracefully(self): + """Totally unparseable response falls back to default failure.""" + from crewai.agents.planner_observer import PlannerObserver + from crewai.utilities.planning_types import StepObservation + + result = PlannerObserver._parse_observation_response(12345) + + assert isinstance(result, StepObservation) + assert result.step_completed_successfully is False + assert result.remaining_plan_still_valid is False + + def test_observe_parses_json_string_from_llm(self): + """End-to-end: observer.observe() correctly parses a JSON string from llm.call().""" + import json + + from crewai.agents.planner_observer import PlannerObserver + from crewai.utilities.planning_types import StepObservation, TodoItem + + llm = Mock() + llm.call.return_value = json.dumps({ + "step_completed_successfully": False, + "key_information_learned": "build failed with exit code 1", + "remaining_plan_still_valid": False, + "needs_full_replan": True, + "replan_reason": "build system is misconfigured", + }) + + agent = Mock() + agent.role = "Test Agent" + agent.llm = llm + agent.planning_config = None + + task = Mock() + task.description = "Build the project" + task.expected_output = "Successful build" + + observer = PlannerObserver(agent=agent, task=task) + step = TodoItem(step_number=1, description="Run make", status="running") + + observation = observer.observe( + completed_step=step, + result="make: *** No rule to make target 'all'. Stop.", + all_completed=[], + remaining_todos=[], + ) + + assert observation.step_completed_successfully is False + assert observation.needs_full_replan is True + assert observation.replan_reason == "build system is misconfigured" + + +# ========================================================================= +# Max Iterations Routing +# ========================================================================= + + +class TestMaxIterationsRouting: + """check_max_iterations must route to force_final_answer when + the iteration limit is exceeded, not to a dead-end event.""" + + def test_exceeded_routes_to_force_final_answer(self): + from crewai.experimental.agent_executor import AgentExecutor + + executor = Mock(spec=AgentExecutor) + executor.state = AgentExecutorState(iterations=25) + executor.max_iter = 20 + + result = AgentExecutor.check_max_iterations(executor) + assert result == "force_final_answer" + + def test_under_limit_continues_reasoning(self): + from crewai.experimental.agent_executor import AgentExecutor + + executor = Mock(spec=AgentExecutor) + executor.state = AgentExecutorState(iterations=5) + executor.max_iter = 20 + + result = AgentExecutor.check_max_iterations(executor) + assert result == "continue_reasoning" + + def test_under_limit_with_native_tools(self): + from crewai.experimental.agent_executor import AgentExecutor + + executor = Mock(spec=AgentExecutor) + executor.state = AgentExecutorState(iterations=5, use_native_tools=True) + executor.max_iter = 20 + + result = AgentExecutor.check_max_iterations(executor) + assert result == "continue_reasoning_native" + + +# ========================================================================= +# Native Tool Call Edge Cases +# ========================================================================= + + +class TestNativeToolCallMaxUsage: + """_execute_single_native_tool_call must produce a result string + even when max_usage_reached=True and original_tool is None.""" + + def test_max_usage_reached_without_original_tool(self): + from crewai.experimental.agent_executor import AgentExecutor + + import inspect + source = inspect.getsource(AgentExecutor._execute_single_native_tool_call) + assert "elif max_usage_reached:" in source + assert 'result = f"Tool \'{func_name}\' has reached its maximum usage limit' in source + + +# ========================================================================= +# Executor State Reset on Re-invoke +# ========================================================================= + + +class TestExecutorStateReset: + """invoke() and invoke_async() must reset all execution state + (including _finalize_called) so re-invocations work correctly.""" + + def test_finalize_called_reset_in_invoke(self): + import inspect + from crewai.experimental.agent_executor import AgentExecutor + + source = inspect.getsource(AgentExecutor.invoke) + finalize_idx = source.index("self._finalize_called = False") + messages_idx = source.index("self.state.messages.clear()") + assert finalize_idx < messages_idx, ( + "_finalize_called must be reset before state reset" + ) + + def test_finalize_called_reset_in_invoke_async(self): + import inspect + from crewai.experimental.agent_executor import AgentExecutor + + source = inspect.getsource(AgentExecutor.invoke_async) + finalize_idx = source.index("self._finalize_called = False") + messages_idx = source.index("self.state.messages.clear()") + assert finalize_idx < messages_idx, ( + "_finalize_called must be reset before state reset in async path" + ) + + +# ========================================================================= +# Plan Generation Isolation +# ========================================================================= + + +class TestPlanGenerationIsolation: + """generate_plan must store the plan in state only — never mutate + the shared task.description object.""" + + def test_generate_plan_does_not_mutate_task_description(self): + import inspect + from crewai.experimental.agent_executor import AgentExecutor + + source = inspect.getsource(AgentExecutor.generate_plan) + assert "task.description +=" not in source, ( + "generate_plan still mutates task.description" + ) + assert "task.description =" not in source or "Plan is stored in state" in source, ( + "generate_plan should store plan in state, not task.description" + ) + + +# ========================================================================= +# Todo Status Tracking +# ========================================================================= + + +class TestTodoStatusTracking: + """Steps that fail without triggering a replan must be marked 'failed' + (not 'completed') so status queries remain accurate.""" + + def test_medium_effort_marks_failed_step_as_failed(self): + import inspect + from crewai.experimental.agent_executor import AgentExecutor + + source = inspect.getsource(AgentExecutor.handle_step_observed_medium) + assert "mark_failed" in source, ( + "handle_step_observed_medium should use mark_failed for failed steps" + ) + failed_no_replan_idx = source.index("failed but no replan") + after_comment = source[failed_no_replan_idx:] + assert "mark_completed" not in after_comment, ( + "mark_completed should not be called on failed steps" + ) + + def test_failed_step_appears_in_get_failed_todos(self): + from crewai.utilities.planning_types import TodoItem, TodoList + + todos = TodoList(items=[ + TodoItem(step_number=1, description="Step 1"), + TodoItem(step_number=2, description="Step 2"), + ]) + + todos.mark_running(1) + todos.mark_failed(1, result="Error: build failed") + + failed = todos.get_failed_todos() + assert len(failed) == 1 + assert failed[0].step_number == 1 + assert failed[0].result == "Error: build failed" + + completed = todos.get_completed_todos() + assert len(completed) == 0 + + +# ========================================================================= +# TodoList Result Handling +# ========================================================================= + + +class TestTodoResultHandling: + """mark_completed/mark_failed must use `is not None` checks so + empty-string results are preserved.""" + + def test_mark_completed_preserves_empty_string(self): + from crewai.utilities.planning_types import TodoItem, TodoList + + todos = TodoList(items=[ + TodoItem(step_number=1, description="Step 1"), + ]) + todos.mark_completed(1, result="") + item = todos.get_by_step_number(1) + assert item.status == "completed" + assert item.result == "", "Empty-string result should be stored, not dropped" + + def test_mark_failed_preserves_empty_string(self): + from crewai.utilities.planning_types import TodoItem, TodoList + + todos = TodoList(items=[ + TodoItem(step_number=1, description="Step 1"), + ]) + todos.mark_failed(1, result="") + item = todos.get_by_step_number(1) + assert item.status == "failed" + assert item.result == "", "Empty-string result should be stored, not dropped" + + def test_mark_completed_none_does_not_overwrite(self): + from crewai.utilities.planning_types import TodoItem, TodoList + + todos = TodoList(items=[ + TodoItem(step_number=1, description="Step 1", result="existing"), + ]) + todos.mark_completed(1, result=None) + item = todos.get_by_step_number(1) + assert item.result == "existing", "None result should not overwrite existing" + + +# ========================================================================= +# Dependency Resolution with Failed Steps +# ========================================================================= + + +class TestDependencyResolutionWithFailures: + """Failed dependencies must be treated as terminal so downstream + todos are not permanently blocked.""" + + def test_failed_dep_unblocks_downstream(self): + from crewai.utilities.planning_types import TodoItem, TodoList + + todos = TodoList(items=[ + TodoItem(step_number=1, description="Build"), + TodoItem(step_number=2, description="Test", depends_on=[1]), + TodoItem(step_number=3, description="Deploy", depends_on=[2]), + ]) + + todos.mark_running(1) + todos.mark_failed(1, result="build error") + + ready = todos.get_ready_todos() + assert len(ready) == 1 + assert ready[0].step_number == 2 + + def test_is_complete_with_mixed_terminal_states(self): + from crewai.utilities.planning_types import TodoItem, TodoList + + todos = TodoList(items=[ + TodoItem(step_number=1, description="A", status="completed"), + TodoItem(step_number=2, description="B", status="failed"), + TodoItem(step_number=3, description="C", status="completed"), + ]) + assert todos.is_complete is True + + def test_pending_todo_ready_when_dep_failed(self): + from crewai.utilities.planning_types import TodoItem, TodoList + + todos = TodoList(items=[ + TodoItem(step_number=1, description="A", status="failed"), + TodoItem(step_number=2, description="B", depends_on=[1], status="pending"), + ]) + ready = todos.get_ready_todos() + assert len(ready) == 1, "Downstream todo should be ready when dep is failed" + + +# ========================================================================= +# PlanningConfig Defaults +# ========================================================================= + + +class TestPlanningConfigDefaults: + """PlanningConfig default reasoning_effort must be 'medium' to match + the runtime fallback in _get_reasoning_effort.""" + + def test_planning_config_default_is_medium(self): + from crewai.agent.planning_config import PlanningConfig + + config = PlanningConfig() + assert config.reasoning_effort == "medium", ( + f"Default should be 'medium', got '{config.reasoning_effort}'" + ) + + def test_explicit_config_matches_implicit_planning(self): + """Agent(planning=True) and Agent(planning=True, planning_config=PlanningConfig()) + should produce the same reasoning_effort.""" + from crewai.agent.planning_config import PlanningConfig + + config = PlanningConfig() + assert config.reasoning_effort == "medium" + + +# ========================================================================= +# Vision Image Format Contract +# ========================================================================= + + +class TestVisionImageFormatContract: + """step_executor uses standard image_url format; each provider's + _format_messages handles conversion to its native format.""" + + def test_step_executor_uses_standard_image_url_format(self): + import inspect + from crewai.agents.step_executor import StepExecutor + + source = inspect.getsource(StepExecutor._build_observation_message) + assert "image_url" in source, ( + "Step executor should use standard image_url format" + ) + + def test_anthropic_provider_has_image_block_converter(self): + from crewai.llms.providers.anthropic.completion import AnthropicCompletion + + assert hasattr(AnthropicCompletion, "_convert_image_blocks"), ( + "Anthropic provider must have _convert_image_blocks for auto-conversion" + ) diff --git a/lib/crewai/tests/agents/test_agent_reasoning.py b/lib/crewai/tests/agents/test_agent_reasoning.py index a12d5af9a..ed4c6a60b 100644 --- a/lib/crewai/tests/agents/test_agent_reasoning.py +++ b/lib/crewai/tests/agents/test_agent_reasoning.py @@ -1,240 +1,345 @@ -"""Tests for reasoning in agents.""" +"""Tests for planning/reasoning in agents.""" -import json +import warnings import pytest -from crewai import Agent, Task +from crewai import Agent, PlanningConfig, Task from crewai.llm import LLM -@pytest.fixture -def mock_llm_responses(): - """Fixture for mock LLM responses.""" - return { - "ready": "I'll solve this simple math problem.\n\nREADY: I am ready to execute the task.\n\n", - "not_ready": "I need to think about derivatives.\n\nNOT READY: I need to refine my plan because I'm not sure about the derivative rules.", - "ready_after_refine": "I'll use the power rule for derivatives where d/dx(x^n) = n*x^(n-1).\n\nREADY: I am ready to execute the task.", - "execution": "4", - } +# ============================================================================= +# Tests for PlanningConfig configuration (no LLM calls needed) +# ============================================================================= -def test_agent_with_reasoning(mock_llm_responses): - """Test agent with reasoning.""" - llm = LLM("gpt-3.5-turbo") +def test_planning_config_default_values(): + """Test PlanningConfig default values.""" + config = PlanningConfig() + + assert config.max_attempts is None + assert config.max_steps == 20 + assert config.system_prompt is None + assert config.plan_prompt is None + assert config.refine_prompt is None + assert config.llm is None + + +def test_planning_config_custom_values(): + """Test PlanningConfig with custom values.""" + config = PlanningConfig( + max_attempts=5, + max_steps=15, + system_prompt="Custom system", + plan_prompt="Custom plan: {description}", + refine_prompt="Custom refine: {current_plan}", + llm="gpt-4", + ) + + assert config.max_attempts == 5 + assert config.max_steps == 15 + assert config.system_prompt == "Custom system" + assert config.plan_prompt == "Custom plan: {description}" + assert config.refine_prompt == "Custom refine: {current_plan}" + assert config.llm == "gpt-4" + + +def test_agent_with_planning_config_custom_prompts(): + """Test agent with PlanningConfig using custom prompts.""" + llm = LLM("gpt-4o-mini") + + custom_system_prompt = "You are a specialized planner." + custom_plan_prompt = "Plan this task: {description}" + + agent = Agent( + role="Test Agent", + goal="To test custom prompts", + backstory="I am a test agent.", + llm=llm, + planning_config=PlanningConfig( + system_prompt=custom_system_prompt, + plan_prompt=custom_plan_prompt, + max_steps=10, + ), + verbose=False, + ) + + # Just test that the agent is created properly + assert agent.planning_config is not None + assert agent.planning_config.system_prompt == custom_system_prompt + assert agent.planning_config.plan_prompt == custom_plan_prompt + assert agent.planning_config.max_steps == 10 + + +def test_agent_with_planning_config_disabled(): + """Test agent with PlanningConfig disabled.""" + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Test Agent", + goal="To test disabled planning", + backstory="I am a test agent.", + llm=llm, + planning=False, + verbose=False, + ) + + # Planning should be disabled + assert agent.planning_enabled is False + + +def test_planning_enabled_property(): + """Test the planning_enabled property on Agent.""" + llm = LLM("gpt-4o-mini") + + # With planning_config enabled + agent_with_planning = Agent( + role="Test Agent", + goal="Test", + backstory="Test", + llm=llm, + planning=True, + ) + assert agent_with_planning.planning_enabled is True + + # With planning_config disabled + agent_disabled = Agent( + role="Test Agent", + goal="Test", + backstory="Test", + llm=llm, + planning=False, + ) + assert agent_disabled.planning_enabled is False + + # Without planning_config + agent_no_planning = Agent( + role="Test Agent", + goal="Test", + backstory="Test", + llm=llm, + ) + assert agent_no_planning.planning_enabled is False + + +# ============================================================================= +# Tests for backward compatibility with reasoning=True (no LLM calls) +# ============================================================================= + + +def test_agent_with_reasoning_backward_compat(): + """Test agent with reasoning=True (backward compatibility).""" + llm = LLM("gpt-4o-mini") + + # This should emit a deprecation warning + with warnings.catch_warnings(record=True): + warnings.simplefilter("always") + agent = Agent( + role="Test Agent", + goal="To test the reasoning feature", + backstory="I am a test agent created to verify the reasoning feature works correctly.", + llm=llm, + reasoning=True, + verbose=False, + ) + + # Should have created a PlanningConfig internally + assert agent.planning_config is not None + assert agent.planning_enabled is True + + +def test_agent_with_reasoning_and_max_attempts_backward_compat(): + """Test agent with reasoning=True and max_reasoning_attempts (backward compatibility).""" + llm = LLM("gpt-4o-mini") agent = Agent( role="Test Agent", goal="To test the reasoning feature", - backstory="I am a test agent created to verify the reasoning feature works correctly.", + backstory="I am a test agent.", llm=llm, reasoning=True, - verbose=True, + max_reasoning_attempts=5, + verbose=False, ) - task = Task( - description="Simple math task: What's 2+2?", - expected_output="The answer should be a number.", - agent=agent, - ) - - agent.llm.call = lambda messages, *args, **kwargs: ( - mock_llm_responses["ready"] - if any("create a detailed plan" in msg.get("content", "") for msg in messages) - else mock_llm_responses["execution"] - ) - - result = agent.execute_task(task) - - assert result == mock_llm_responses["execution"] - assert "Reasoning Plan:" in task.description + # Should have created a PlanningConfig with max_attempts + assert agent.planning_config is not None + assert agent.planning_config.max_attempts == 5 -def test_agent_with_reasoning_not_ready_initially(mock_llm_responses): - """Test agent with reasoning that requires refinement.""" - llm = LLM("gpt-3.5-turbo") +# ============================================================================= +# Tests for Agent.kickoff() with planning (uses AgentExecutor) +# ============================================================================= + + +@pytest.mark.vcr() +def test_agent_kickoff_with_planning(): + """Test Agent.kickoff() with planning enabled generates a plan.""" + llm = LLM("gpt-4o-mini") agent = Agent( - role="Test Agent", - goal="To test the reasoning feature", - backstory="I am a test agent created to verify the reasoning feature works correctly.", + role="Math Assistant", + goal="Help solve math problems step by step", + backstory="A helpful math tutor", llm=llm, - reasoning=True, - max_reasoning_attempts=2, - verbose=True, + planning_config=PlanningConfig(max_attempts=1), + verbose=False, ) - task = Task( - description="Complex math task: What's the derivative of x²?", - expected_output="The answer should be a mathematical expression.", - agent=agent, - ) + result = agent.kickoff("What is 15 + 27?") - call_count = [0] - - def mock_llm_call(messages, *args, **kwargs): - if any( - "create a detailed plan" in msg.get("content", "") for msg in messages - ) or any("refine your plan" in msg.get("content", "") for msg in messages): - call_count[0] += 1 - if call_count[0] == 1: - return mock_llm_responses["not_ready"] - return mock_llm_responses["ready_after_refine"] - return "2x" - - agent.llm.call = mock_llm_call - - result = agent.execute_task(task) - - assert result == "2x" - assert call_count[0] == 2 # Should have made 2 reasoning calls - assert "Reasoning Plan:" in task.description + assert result is not None + assert "42" in str(result) -def test_agent_with_reasoning_max_attempts_reached(): - """Test agent with reasoning that reaches max attempts without being ready.""" - llm = LLM("gpt-3.5-turbo") +@pytest.mark.vcr() +def test_agent_kickoff_without_planning(): + """Test Agent.kickoff() without planning skips plan generation.""" + llm = LLM("gpt-4o-mini") agent = Agent( - role="Test Agent", - goal="To test the reasoning feature", - backstory="I am a test agent created to verify the reasoning feature works correctly.", + role="Math Assistant", + goal="Help solve math problems", + backstory="A helpful assistant", llm=llm, - reasoning=True, - max_reasoning_attempts=2, - verbose=True, + # No planning_config = no planning + verbose=False, ) - task = Task( - description="Complex math task: Solve the Riemann hypothesis.", - expected_output="A proof or disproof of the hypothesis.", - agent=agent, - ) + result = agent.kickoff("What is 8 * 7?") - call_count = [0] - - def mock_llm_call(messages, *args, **kwargs): - if any( - "create a detailed plan" in msg.get("content", "") for msg in messages - ) or any("refine your plan" in msg.get("content", "") for msg in messages): - call_count[0] += 1 - return f"Attempt {call_count[0]}: I need more time to think.\n\nNOT READY: I need to refine my plan further." - return "This is an unsolved problem in mathematics." - - agent.llm.call = mock_llm_call - - result = agent.execute_task(task) - - assert result == "This is an unsolved problem in mathematics." - assert ( - call_count[0] == 2 - ) # Should have made exactly 2 reasoning calls (max_attempts) - assert "Reasoning Plan:" in task.description + assert result is not None + assert "56" in str(result) -def test_agent_reasoning_error_handling(): - """Test error handling during the reasoning process.""" - llm = LLM("gpt-3.5-turbo") +@pytest.mark.vcr() +def test_agent_kickoff_with_planning_disabled(): + """Test Agent.kickoff() with planning explicitly disabled via planning=False.""" + llm = LLM("gpt-4o-mini") agent = Agent( - role="Test Agent", - goal="To test the reasoning feature", - backstory="I am a test agent created to verify the reasoning feature works correctly.", + role="Math Assistant", + goal="Help solve math problems", + backstory="A helpful assistant", llm=llm, - reasoning=True, + planning=False, # Explicitly disable planning + verbose=False, ) - task = Task( - description="Task that will cause an error", - expected_output="Output that will never be generated", - agent=agent, - ) + result = agent.kickoff("What is 100 / 4?") - call_count = [0] - - def mock_llm_call_error(*args, **kwargs): - call_count[0] += 1 - if call_count[0] <= 2: # First calls are for reasoning - raise Exception("LLM error during reasoning") - return "Fallback execution result" # Return a value for task execution - - agent.llm.call = mock_llm_call_error - - result = agent.execute_task(task) - - assert result == "Fallback execution result" - assert call_count[0] > 2 # Ensure we called the mock multiple times + assert result is not None + assert "25" in str(result) -@pytest.mark.skip(reason="Test requires updates for native tool calling changes") -def test_agent_with_function_calling(): - """Test agent with reasoning using function calling.""" - llm = LLM("gpt-3.5-turbo") +@pytest.mark.vcr() +def test_agent_kickoff_multi_step_task_with_planning(): + """Test Agent.kickoff() with a multi-step task that benefits from planning.""" + llm = LLM("gpt-4o-mini") agent = Agent( - role="Test Agent", - goal="To test the reasoning feature", - backstory="I am a test agent created to verify the reasoning feature works correctly.", + role="Math Tutor", + goal="Solve multi-step math problems", + backstory="An expert tutor who explains step by step", llm=llm, - reasoning=True, - verbose=True, + planning_config=PlanningConfig(max_attempts=1, max_steps=5), + verbose=False, ) - task = Task( - description="Simple math task: What's 2+2?", - expected_output="The answer should be a number.", - agent=agent, + # Task requires: find primes, sum them, then double + result = agent.kickoff( + "Find the first 3 prime numbers, add them together, then multiply by 2." ) - agent.llm.supports_function_calling = lambda: True - - def mock_function_call(messages, *args, **kwargs): - if "tools" in kwargs: - return json.dumps( - {"plan": "I'll solve this simple math problem: 2+2=4.", "ready": True} - ) - return "4" - - agent.llm.call = mock_function_call - - result = agent.execute_task(task) - - assert result == "4" - assert "Reasoning Plan:" in task.description - assert "I'll solve this simple math problem: 2+2=4." in task.description + assert result is not None + # First 3 primes: 2, 3, 5 -> sum = 10 -> doubled = 20 + assert "20" in str(result) -@pytest.mark.skip(reason="Test requires updates for native tool calling changes") -def test_agent_with_function_calling_fallback(): - """Test agent with reasoning using function calling that falls back to text parsing.""" - llm = LLM("gpt-3.5-turbo") +# ============================================================================= +# Tests for Agent.execute_task() with planning (uses CrewAgentExecutor) +# These test the legacy path via handle_reasoning() +# ============================================================================= + + +@pytest.mark.vcr() +def test_agent_execute_task_with_planning(): + """Test Agent.execute_task() with planning via CrewAgentExecutor.""" + llm = LLM("gpt-4o-mini") agent = Agent( - role="Test Agent", - goal="To test the reasoning feature", - backstory="I am a test agent created to verify the reasoning feature works correctly.", + role="Math Assistant", + goal="Help solve math problems", + backstory="A helpful math tutor", llm=llm, - reasoning=True, - verbose=True, + planning_config=PlanningConfig(max_attempts=1), + verbose=False, ) task = Task( - description="Simple math task: What's 2+2?", - expected_output="The answer should be a number.", + description="What is 9 + 11?", + expected_output="A number", agent=agent, ) - agent.llm.supports_function_calling = lambda: True + result = agent.execute_task(task) - def mock_function_call(messages, *args, **kwargs): - if "tools" in kwargs: - return "Invalid JSON that will trigger fallback. READY: I am ready to execute the task." - return "4" + assert result is not None + assert "20" in str(result) + # Planning should be appended to task description + assert "Planning:" in task.description - agent.llm.call = mock_function_call + +@pytest.mark.vcr() +def test_agent_execute_task_without_planning(): + """Test Agent.execute_task() without planning.""" + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Assistant", + goal="Help solve math problems", + backstory="A helpful assistant", + llm=llm, + verbose=False, + ) + + task = Task( + description="What is 12 * 3?", + expected_output="A number", + agent=agent, + ) result = agent.execute_task(task) - assert result == "4" - assert "Reasoning Plan:" in task.description - assert "Invalid JSON that will trigger fallback" in task.description + assert result is not None + assert "36" in str(result) + # No planning should be added + assert "Planning:" not in task.description + + +@pytest.mark.vcr() +def test_agent_execute_task_with_planning_refine(): + """Test Agent.execute_task() with planning that requires refinement.""" + llm = LLM("gpt-4o-mini") + + agent = Agent( + role="Math Tutor", + goal="Solve complex math problems step by step", + backstory="An expert tutor", + llm=llm, + planning_config=PlanningConfig(max_attempts=2), + verbose=False, + ) + + task = Task( + description="Calculate the area of a circle with radius 5 (use pi = 3.14)", + expected_output="The area as a number", + agent=agent, + ) + + result = agent.execute_task(task) + + assert result is not None + # Area = pi * r^2 = 3.14 * 25 = 78.5 + assert "78" in str(result) or "79" in str(result) + assert "Planning:" in task.description diff --git a/lib/crewai/tests/agents/test_lite_agent.py b/lib/crewai/tests/agents/test_lite_agent.py index 0d7093f82..5397e6281 100644 --- a/lib/crewai/tests/agents/test_lite_agent.py +++ b/lib/crewai/tests/agents/test_lite_agent.py @@ -359,17 +359,34 @@ def test_sets_flow_context_when_inside_flow(): @pytest.mark.vcr() def test_guardrail_is_called_using_string(): + """Test that a string guardrail triggers events and retries correctly. + + Uses a callable guardrail that deterministically fails on the first + attempt and passes on the second. This tests the guardrail event + machinery (started/completed events, retry loop) without depending + on the LLM to comply with contradictory constraints. + """ guardrail_events: dict[str, list] = defaultdict(list) from crewai.events.event_types import ( LLMGuardrailCompletedEvent, LLMGuardrailStartedEvent, ) + # Deterministic guardrail: fail first call, pass second + call_count = {"n": 0} + + def fail_then_pass_guardrail(output): + call_count["n"] += 1 + if call_count["n"] == 1: + return (False, "Missing required format — please use a numbered list") + return (True, output) + agent = Agent( role="Sports Analyst", - goal="Gather information about the best soccer players", - backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""", - guardrail="""Only include Brazilian players, both women and men""", + goal="List the best soccer players", + backstory="You are an expert at gathering and organizing information.", + guardrail=fail_then_pass_guardrail, + guardrail_max_retries=3, ) condition = threading.Condition() @@ -388,7 +405,7 @@ def test_guardrail_is_called_using_string(): guardrail_events["completed"].append(event) condition.notify() - result = agent.kickoff(messages="Top 10 best players in the world?") + result = agent.kickoff(messages="Top 5 best soccer players in the world?") with condition: success = condition.wait_for( diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_image_file[anthropic-claude-3-5-haiku-20241022].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_image_file[anthropic-claude-3-5-haiku-20241022].yaml index a53bf5c9e..7e32c13ee 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_image_file[anthropic-claude-3-5-haiku-20241022].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_image_file[anthropic-claude-3-5-haiku-20241022].yaml @@ -1,15 +1,9 @@ interactions: - request: body: '{"max_tokens":4096,"messages":[{"role":"user","content":[{"type":"text","text":"\nCurrent - Task: Describe this image briefly.\n\nBegin! This is VERY important to you, - use the tools available and give your best Final Answer, your job depends on - it!\n\nThought:"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"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"},"cache_control":{"type":"ephemeral"}}]}],"model":"claude-3-5-haiku-20241022","stop_sequences":["\nObservation:"],"stream":false,"system":"You + Task: Describe this image briefly.\n\nProvide your complete response:"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"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"},"cache_control":{"type":"ephemeral"}}]}],"model":"claude-3-5-haiku-20241022","stop_sequences":["\nObservation:"],"stream":false,"system":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal - is: Analyze and describe files accurately\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"}' + is: Analyze and describe files accurately"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,7 +16,7 @@ interactions: connection: - keep-alive content-length: - - '37904' + - '37503' content-type: - application/json host: @@ -38,37 +32,36 @@ interactions: x-stainless-os: - X-STAINLESS-OS-XXX x-stainless-package-version: - - 0.71.1 + - 0.73.0 x-stainless-retry-count: - '0' x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 x-stainless-timeout: - NOT_GIVEN method: POST uri: https://api.anthropic.com/v1/messages response: body: - string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01KtVGbo8ULCvXxVzNqWuFYL","type":"message","role":"assistant","content":[{"type":"text","text":"Thought: - I will carefully analyze the image which shows a linear revenue growth chart - over time.\n\nFinal Answer: This is a line graph titled \"Revenue Over Time\" - plotting revenue (in some currency, likely dollars) from 2020 to 2024. The - blue line shows a steady, linear increase from approximately $100 at the start - of 2020 to around $300 by early 2024. The growth appears consistent and predictable, - with a uniform upward slope indicating a stable and continuous revenue growth - rate over the four-year period. The x-axis represents years, while the y-axis - represents revenue in dollars."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":577,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":136,"service_tier":"standard"}}' + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01QgPLhuYEg6TCUTrnsGFxH8","type":"message","role":"assistant","content":[{"type":"text","text":"This + image is a line graph showing \"Revenue Over Time\" from 2020 to 2024. The + x-axis represents years, while the y-axis represents revenue in dollars (from + $100 to $300). The graph displays a steady, linear increase in revenue over + this period, with a consistent upward slope indicating consistent growth year + over year."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":485,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":77,"service_tier":"standard","inference_geo":"not_available"}}' headers: CF-RAY: - CF-RAY-XXX Connection: - keep-alive + Content-Security-Policy: + - CSP-FILTERED Content-Type: - application/json Date: - - Fri, 23 Jan 2026 19:08:08 GMT + - Thu, 12 Feb 2026 19:30:50 GMT Server: - cloudflare Transfer-Encoding: @@ -94,7 +87,7 @@ interactions: anthropic-ratelimit-requests-remaining: - '3999' anthropic-ratelimit-requests-reset: - - '2026-01-23T19:08:04Z' + - '2026-02-12T19:30:48Z' anthropic-ratelimit-tokens-limit: - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX anthropic-ratelimit-tokens-remaining: @@ -108,7 +101,112 @@ interactions: strict-transport-security: - STS-XXX x-envoy-upstream-service-time: - - '3662' + - '2198' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":[{"type":"text","text":"\nCurrent + Task: Describe this image briefly.\n\nProvide your complete response:"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"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"},"cache_control":{"type":"ephemeral"}}]}],"model":"claude-3-5-haiku-20241022","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '37503' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_017jsHA14R65RXwNiPJU2Cnb","type":"message","role":"assistant","content":[{"type":"text","text":"This + image is a line graph showing \"Revenue Over Time\" from 2020 to 2024. The + x-axis represents years, and the y-axis represents revenue in dollars (from + 100 to 300). The blue line shows a steady, linear increase in revenue over + this time period, with the slope indicating consistent growth year over year."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":485,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":76,"service_tier":"standard","inference_geo":"not_available"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:30:53 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2026-02-12T19:30:50Z' + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '3043' status: code: 200 message: OK diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_mixed_files[anthropic-claude-3-5-haiku-20241022].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_mixed_files[anthropic-claude-3-5-haiku-20241022].yaml index e8d04fe8c..4032937ef 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_mixed_files[anthropic-claude-3-5-haiku-20241022].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_mixed_files[anthropic-claude-3-5-haiku-20241022].yaml @@ -1,14 +1,9 @@ interactions: - request: body: '{"max_tokens":4096,"messages":[{"role":"user","content":[{"type":"text","text":"\nCurrent - Task: What files do you see?\n\nBegin! This is VERY important to you, use the - tools available and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"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+ Task: What files do you see?\n\nProvide your complete response:"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"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"},"cache_control":{"type":"ephemeral"}},{"type":"document","source":{"type":"base64","media_type":"application/pdf","data":"JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="},"cache_control":{"type":"ephemeral"}}]}],"model":"claude-3-5-haiku-20241022","stop_sequences":["\nObservation:"],"stream":false,"system":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal - is: Analyze and describe files accurately\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"}' + is: Analyze and describe files accurately"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -21,7 +16,7 @@ interactions: connection: - keep-alive content-length: - - '38459' + - '38058' content-type: - application/json host: @@ -37,35 +32,37 @@ interactions: x-stainless-os: - X-STAINLESS-OS-XXX x-stainless-package-version: - - 0.71.1 + - 0.73.0 x-stainless-retry-count: - '0' x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 x-stainless-timeout: - NOT_GIVEN method: POST uri: https://api.anthropic.com/v1/messages response: body: - string: '{"model":"claude-3-5-haiku-20241022","id":"msg_016EuFs9iJJLXLGZdQXHUUdc","type":"message","role":"assistant","content":[{"type":"text","text":"Thought: - I see two files in this submission - a line graph showing \"Revenue Over Time\" - and a PDF document that appears to be blank or white.\n\nFinal Answer: The - files I detect are:\n1. A line graph image showing revenue progression from - 2020 to 2024, with a steady linear increase from around 100 to 300 on the - vertical revenue axis.\n2. A PDF document that currently displays as a blank/white - page."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":2183,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":2183,"ephemeral_1h_input_tokens":0},"output_tokens":101,"service_tier":"standard"}}' + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01XFeDCcTxbHAPAiXik49BvH","type":"message","role":"assistant","content":[{"type":"text","text":"I + see two files:\n\n1. An image file (chart/graph):\n- A line graph titled \"Revenue + Over Time\"\n- X-axis shows years from 2020 to 2024\n- Y-axis shows revenue + in dollars, ranging from 100 to 300\n- The line shows a steady, linear increase + in revenue over the time period\n\n2. A PDF document:\n- The PDF appears to + be a blank or white page\n- No visible text or content is present in the PDF + file\n\nWould you like me to provide more details about either of these files?"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":2091,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":2091,"ephemeral_1h_input_tokens":0},"output_tokens":127,"service_tier":"standard","inference_geo":"not_available"}}' headers: CF-RAY: - CF-RAY-XXX Connection: - keep-alive + Content-Security-Policy: + - CSP-FILTERED Content-Type: - application/json Date: - - Fri, 23 Jan 2026 19:08:12 GMT + - Thu, 12 Feb 2026 19:30:44 GMT Server: - cloudflare Transfer-Encoding: @@ -91,7 +88,7 @@ interactions: anthropic-ratelimit-requests-remaining: - '3999' anthropic-ratelimit-requests-reset: - - '2026-01-23T19:08:08Z' + - '2026-02-12T19:30:40Z' anthropic-ratelimit-tokens-limit: - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX anthropic-ratelimit-tokens-remaining: @@ -105,7 +102,113 @@ interactions: strict-transport-security: - STS-XXX x-envoy-upstream-service-time: - - '3452' + - '3283' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":[{"type":"text","text":"\nCurrent + Task: What files do you see?\n\nProvide your complete response:"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"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+ are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '38058' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01M5sCZgL9qiCbfHLBGQcDax","type":"message","role":"assistant","content":[{"type":"text","text":"I + see two files:\n\n1. An image file (a line graph) showing \"Revenue Over Time\" + from 2020 to 2024, with the y-axis representing revenue in dollars and showing + a steady linear increase from around 100 to 300 over the time period.\n\n2. + A PDF document (currently appears blank or white in the preview)\n\nWould + you like me to provide more details about either of these files?"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":0,"cache_read_input_tokens":2091,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":95,"service_tier":"standard","inference_geo":"not_available"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:30:47 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2026-02-12T19:30:44Z' + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '3073' status: code: 200 message: OK diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_pdf_file[anthropic-claude-3-5-haiku-20241022].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_pdf_file[anthropic-claude-3-5-haiku-20241022].yaml index 70a19379c..372bd0b8f 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_pdf_file[anthropic-claude-3-5-haiku-20241022].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_pdf_file[anthropic-claude-3-5-haiku-20241022].yaml @@ -1,15 +1,9 @@ interactions: - request: body: '{"max_tokens":4096,"messages":[{"role":"user","content":[{"type":"text","text":"\nCurrent - Task: What type of document is this?\n\nBegin! This is VERY important to you, - use the tools available and give your best Final Answer, your job depends on - it!\n\nThought:"},{"type":"document","source":{"type":"base64","media_type":"application/pdf","data":"JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="},"cache_control":{"type":"ephemeral"}}]}],"model":"claude-3-5-haiku-20241022","stop_sequences":["\nObservation:"],"stream":false,"system":"You + Task: What type of document is this?\n\nProvide your complete response:"},{"type":"document","source":{"type":"base64","media_type":"application/pdf","data":"JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="},"cache_control":{"type":"ephemeral"}}]}],"model":"claude-3-5-haiku-20241022","stop_sequences":["\nObservation:"],"stream":false,"system":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal - is: Analyze and describe files accurately\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"}' + is: Analyze and describe files accurately"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,7 +16,7 @@ interactions: connection: - keep-alive content-length: - - '1351' + - '950' content-type: - application/json host: @@ -38,35 +32,35 @@ interactions: x-stainless-os: - X-STAINLESS-OS-XXX x-stainless-package-version: - - 0.71.1 + - 0.73.0 x-stainless-retry-count: - '0' x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 x-stainless-timeout: - NOT_GIVEN method: POST uri: https://api.anthropic.com/v1/messages response: body: - string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01AcygCF93tRhc7A3bfXMqe7","type":"message","role":"assistant","content":[{"type":"text","text":"Thought: - I can see this is a PDF document, but the image appears to be completely white - or blank. Without any visible content, I cannot definitively determine the - specific type of document.\n\nFinal Answer: The document is a PDF file, but - the provided image shows a blank white page with no discernible content or - text. More information or a clearer image would be needed to identify the - precise type of document."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1750,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":89,"service_tier":"standard"}}' + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01C8ZkZMunUVDUDd8mh1r1We","type":"message","role":"assistant","content":[{"type":"text","text":"I + apologize, but the image appears to be completely blank or white. Without + any visible text, graphics, or distinguishing features, I cannot determine + the type of document. The file is a PDF, but the content page seems to be + empty or failed to render properly."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1658,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":58,"service_tier":"standard","inference_geo":"not_available"}}' headers: CF-RAY: - CF-RAY-XXX Connection: - keep-alive + Content-Security-Policy: + - CSP-FILTERED Content-Type: - application/json Date: - - Fri, 23 Jan 2026 19:08:04 GMT + - Thu, 12 Feb 2026 19:30:55 GMT Server: - cloudflare Transfer-Encoding: @@ -92,7 +86,7 @@ interactions: anthropic-ratelimit-requests-remaining: - '3999' anthropic-ratelimit-requests-reset: - - '2026-01-23T19:08:01Z' + - '2026-02-12T19:30:53Z' anthropic-ratelimit-tokens-limit: - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX anthropic-ratelimit-tokens-remaining: @@ -106,7 +100,112 @@ interactions: strict-transport-security: - STS-XXX x-envoy-upstream-service-time: - - '2837' + - '2129' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":[{"type":"text","text":"\nCurrent + Task: What type of document is this?\n\nProvide your complete response:"},{"type":"document","source":{"type":"base64","media_type":"application/pdf","data":"JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="},"cache_control":{"type":"ephemeral"}}]}],"model":"claude-3-5-haiku-20241022","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '950' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_013jb7edagayZxqGs6ioACyU","type":"message","role":"assistant","content":[{"type":"text","text":"I + apologize, but the image appears to be completely blank or white. There are + no visible contents or text that I can analyze to determine the type of document. + Without any discernible information, I cannot definitively state what type + of document this is."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1658,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":55,"service_tier":"standard","inference_geo":"not_available"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:30:58 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2026-02-12T19:30:56Z' + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2005' status: code: 200 message: OK diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalAsync.test_async_agent_with_image.yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalAsync.test_async_agent_with_image.yaml index c4d44ca4b..728f0096c 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalAsync.test_async_agent_with_image.yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalAsync.test_async_agent_with_image.yaml @@ -2,13 +2,8 @@ interactions: - request: body: '{"messages":[{"role":"system","content":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal is: Analyze and describe files - accurately\nTo give my best complete final answer to the task respond using - the exact following format:\n\nThought: I now can give a great answer\nFinal - Answer: Your final answer must be the great and the most complete as possible, - it must be outcome described.\n\nI MUST use these formats, my job depends on - it!"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: Describe - this image.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"gpt-4o-mini"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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+ body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Describe this audio.\n\nProvide + your complete response:"}, {"inlineData": {"data": 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", "mimeType": "audio/x-wav"}}], "role": "user"}], "systemInstruction": {"parts": [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour - personal goal is: Analyze and describe files accurately\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}], "role": "user"}, "generationConfig": - {"stopSequences": ["\nObservation:"]}}' + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -21,13 +16,13 @@ interactions: connection: - keep-alive content-length: - - '22224' + - '21823' content-type: - application/json host: - generativelanguage.googleapis.com x-goog-api-client: - - google-genai-sdk/1.49.0 gl-python/3.12.10 + - google-genai-sdk/1.49.0 gl-python/3.13.3 x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST @@ -35,30 +30,94 @@ interactions: response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"The audio file seems to contain the - sound of a telephone keypad being pressed, specifically the DTMF tones generated - when dialing numbers on a phone.\\nFinal Answer: The audio contains DTMF tones, - indicating the sound of someone pressing buttons on a telephone keypad.\\n\"\n - \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": - \"STOP\",\n \"avgLogprobs\": -0.4180876291715182\n }\n ],\n \"usageMetadata\": - {\n \"promptTokenCount\": 151,\n \"candidatesTokenCount\": 52,\n \"totalTokenCount\": - 203,\n \"promptTokensDetails\": [\n {\n \"modality\": \"AUDIO\",\n - \ \"tokenCount\": 25\n },\n {\n \"modality\": \"TEXT\",\n - \ \"tokenCount\": 126\n }\n ],\n \"candidatesTokensDetails\": - [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 52\n - \ }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n \"responseId\": - \"8slzadShAYbVjMcPxvbv8Q4\"\n}\n" + [\n {\n \"text\": \"The audio appears to contain the sound + of a sine wave. \\n\"\n }\n ],\n \"role\": \"model\"\n + \ },\n \"finishReason\": \"STOP\",\n \"avgLogprobs\": -0.16834642205919539\n + \ }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": 62,\n \"candidatesTokenCount\": + 14,\n \"totalTokenCount\": 76,\n \"promptTokensDetails\": [\n {\n + \ \"modality\": \"TEXT\",\n \"tokenCount\": 37\n },\n {\n + \ \"modality\": \"AUDIO\",\n \"tokenCount\": 25\n }\n ],\n + \ \"candidatesTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 14\n }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n + \ \"responseId\": \"vjKOadbcDYCbjMcPr_iviQE\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 23 Jan 2026 19:20:19 GMT + - Thu, 12 Feb 2026 20:06:23 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=1333 + - gfet4t7; dur=1898 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Describe this audio.\n\nProvide + your complete response:"}, {"inlineData": {"data": 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+ "mimeType": "audio/x-wav"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '21823' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"The audio appears to contain the distinct + sound of a high-pitched whistle.\\n\"\n }\n ],\n \"role\": + \"model\"\n },\n \"finishReason\": \"STOP\",\n \"avgLogprobs\": + -0.34221607446670532\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 62,\n \"candidatesTokenCount\": 16,\n \"totalTokenCount\": 78,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 37\n + \ },\n {\n \"modality\": \"AUDIO\",\n \"tokenCount\": + 25\n }\n ],\n \"candidatesTokensDetails\": [\n {\n \"modality\": + \"TEXT\",\n \"tokenCount\": 16\n }\n ]\n },\n \"modelVersion\": + \"gemini-2.0-flash\",\n \"responseId\": \"wDKOacrKC6rQjMcPmtawkAI\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 20:06:25 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1643 Transfer-Encoding: - chunked Vary: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_image_openai.yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_image_openai.yaml index 9a37cbd73..46754a575 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_image_openai.yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_image_openai.yaml @@ -2,13 +2,8 @@ interactions: - request: body: '{"messages":[{"role":"system","content":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal is: Analyze and describe files - accurately\nTo give my best complete final answer to the task respond using - the exact following format:\n\nThought: I now can give a great answer\nFinal - Answer: Your final answer must be the great and the most complete as possible, - it must be outcome described.\n\nI MUST use these formats, my job depends on - it!"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: Describe - this image.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"gpt-4o-mini"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABr0klEQVR4nO3dd3RU5fr+//ek90CAJJTQpXelKQoIBBBBFKUEFBDxiAl6QBDxKPWoKIpSYv0qqIcAUkVEMCpVAYEQuvQqJNQ0QpJJZv/+8Md8jISezGRmrtdaWYtd5tn3nckkF/uZvcdkGIaBiIiIiLgMN3sXICIiIiK2pQAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFREREXIwCoIiIiIiLUQAUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARURERFyMAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFRFzEgAEDqFy5sr3LEJFiQAFQxEnNmjULk8lk/fLw8KB8+fIMGDCAP//8097lFXvLli2jU6dOlCpVCh8fH2rUqMGIESM4f/68vUvL5+/P8fW+Vq9ebe9SRaQY8bB3ASJStCZMmECVKlXIyspi48aNzJo1i/Xr17Nr1y58fHzsXV6xNGLECN577z0aNmzIqFGjCAkJISEhgRkzZjB37lx+/vlnatasae8yAfj666/zLX/11VfEx8dftb527dp89tlnWCwWW5YnIsWUyTAMw95FiEjhmzVrFgMHDmTz5s3cc8891vWvvPIKb7/9NvPmzaNnz552rLB4mjNnDlFRUfTq1YvZs2fj7u5u3fb777/Ttm1bqlWrRkJCAh4etvs/9KVLl/D397/hfjExMcTGxqJf7SJyPZoCFnEx999/PwCHDh3Kt/6PP/7g8ccfJyQkBB8fH+655x6WLl1q3b5lyxZMJhNffvnlVWOuXLkSk8nEsmXLrOv+/PNPnn76acLCwvD29qZu3bp88cUX+R63evVqTCYT33zzDW+88QYVKlTAx8eHdu3acfDgwXz7Vq5cmQEDBlx17DZt2tCmTZt867Kzsxk7dizVq1fH29ubiIgIXn75ZbKzs2/4/Rk/fjwlS5bk008/zRf+AJo1a8aoUaPYuXMnCxYsAP4KXAEBAWRmZl41Vp8+fQgPDycvL8+67ocffuD+++/H39+fwMBAunTpwu7du/M9bsCAAQQEBHDo0CEeeughAgMD6du37w1rv5F/vgfw6NGjmEwm3n33XWJjY6latSp+fn5ERkZy4sQJDMNg4sSJVKhQAV9fXx555BEuXLhw1bg305OIFC8KgCIu5ujRowCULFnSum737t20aNGCvXv38sorr/Dee+/h7+9P9+7dWbx4MQD33HMPVatW5ZtvvrlqzHnz5lGyZEk6duwIQHJyMi1atOCnn34iJiaGqVOnUr16dQYNGsQHH3xw1eMnTZrE4sWLGTFiBKNHj2bjxo23HXgsFgvdunXj3XffpWvXrkyfPp3u3bvz/vvv06tXr+s+9sCBA+zbt49HHnmEoKCgAvd56qmnAKxht1evXly6dInvv/8+336ZmZl89913PP7449Yg+fXXX9OlSxcCAgJ4++23ef3119mzZw+tWrWyPi9X5Obm0rFjR0JDQ3n33Xfp0aPH7Xw7bsrs2bP58MMPGTp0KC+99BJr1qyhZ8+evPbaa6xYsYJRo0bx7LPP8t133zFixIh8j72VnkSkGDFExCnNnDnTAIyffvrJOHv2rHHixAljwYIFRpkyZQxvb2/jxIkT1n3btWtn1K9f38jKyrKus1gsxr333mvcdddd1nWjR482PD09jQsXLljXZWdnGyVKlDCefvpp67pBgwYZZcuWNc6dO5evpt69exvBwcFGZmamYRiGsWrVKgMwateubWRnZ1v3mzp1qgEYO3futK6rVKmS0b9//6v6bN26tdG6dWvr8tdff224ubkZ69aty7ffxx9/bADGr7/+es3v2ZIlSwzAeP/996+5j2EYRlBQkNGkSRPDMP76PpUvX97o0aNHvn2++eYbAzDWrl1rGIZhpKenGyVKlDAGDx6cb7+kpCQjODg43/r+/fsbgPHKK69ct46CREdHG9f61d6/f3+jUqVK1uUjR44YgFGmTBkjJSXFun706NEGYDRs2NAwm83W9X369DG8vLysPye30pOIFC86Ayji5Nq3b0+ZMmWIiIjg8ccfx9/fn6VLl1KhQgUALly4wC+//ELPnj1JT0/n3LlznDt3jvPnz9OxY0cOHDhgvWq4V69emM1mFi1aZB3/xx9/JCUlxXp2zTAMFi5cSNeuXTEMwzreuXPn6NixI6mpqSQkJOSrceDAgXh5eVmXr0xTHz58+Jb7nT9/PrVr16ZWrVr5jv3ggw8CsGrVqms+Nj09HYDAwMDrHiMwMJC0tDTgr6twn3jiCZYvX05GRoZ1n3nz5lG+fHlatWoFQHx8PCkpKfTp0ydfXe7u7jRv3rzAuoYMGXJrzd+mJ554guDgYOty8+bNAejXr1++9zk2b96cnJwc68/D7fQkIsWDrgIWcXKxsbHUqFGD1NRUvvjiC9auXYu3t7d1+8GDBzEMg9dff53XX3+9wDHOnDlD+fLladiwIbVq1WLevHkMGjQI+CvolC5d2hqwzp49S0pKCp9++imffvrpNcf7u4oVK+ZbvjI9ffHixVvu98CBA+zdu5cyZcrc1LH/7krwuxIEryU9PZ3Q0FDrcq9evfjggw9YunQpUVFRZGRksHz5cv71r39hMpmsdQHW79M//XPK2cPDwxrSi9o/v/9XwmBERESB6688L7fak4gUHwqAIk6uWbNm1quAu3fvTqtWrYiKimLfvn0EBARYbwsyYsQI63v4/ql69erWf/fq1Ys33niDc+fOERgYyNKlS+nTp4/1TNGV8fr160f//v0LHK9Bgwb5lv95scUVxt+uZL0SpP4pLy8v3+MtFgv169dnypQpBe7/z1Dzd7Vr1wZgx44d19zn2LFjpKWlUadOHeu6Fi1aULlyZb755huioqL47rvvuHz5cr73HF75vnz99deEh4dfNe4/ryj29vbGzc02kzTX+v7f6Hm51Z5EpPjQq1PEhbi7u/PWW2/Rtm1bZsyYwSuvvELVqlUB8PT0pH379jcco1evXowfP56FCxcSFhZGWloavXv3tm4vU6YMgYGB5OXl3dR4N6tkyZKkpKRctf7YsWPWHgCqVavG9u3badeu3TVD47XUqFGDGjVqsGTJEqZOnVrgVPBXX30FwMMPP5xvfc+ePZk6dSppaWnMmzePypUr06JFi3x1AYSGhhbq98WenLEnEVeh9wCKuJg2bdrQrFkzPvjgA7KysggNDaVNmzZ88sknnD59+qr9z549m2+5du3a1K9fn3nz5jFv3jzKli3LAw88YN3u7u5Ojx49WLhwIbt27brheDerWrVqbNy4kZycHOu6ZcuWceLEiXz79ezZkz///JPPPvvsqjEuX77MpUuXrnucMWPGcPHiRZ577rl8t28B2Lp1K2+//Tb16tW76qrcXr16kZ2dzZdffsmKFSuuusdix44dCQoK4s0338RsNl913Nv9vtiTM/Yk4ip0BlDEBY0cOZInnniCWbNm8dxzzxEbG0urVq2oX78+gwcPpmrVqiQnJ7NhwwZOnjzJ9u3b8z2+V69ejBkzBh8fHwYNGnTVVOWkSZNYtWoVzZs3Z/DgwdSpU4cLFy6QkJDATz/9VOC95G7kmWeeYcGCBXTq1ImePXty6NAh/ve//1nPQl3x5JNP8s033/Dcc8+xatUq7rvvPvLy8vjjjz/45ptvWLlyZb4bY/9T37592bx5M1OnTmXPnj307duXkiVLkpCQwBdffEGpUqVYsGABnp6e+R7XpEkTqlevzn/+8x+ys7OvuuVMUFAQH330EU8++SRNmjShd+/elClThuPHj/P9999z3333MWPGjFv+vtiTM/Yk4jLseg2yiBSZK7eB2bx581Xb8vLyjGrVqhnVqlUzcnNzDcMwjEOHDhlPPfWUER4ebnh6ehrly5c3Hn74YWPBggVXPf7AgQMGYADG+vXrCzx+cnKyER0dbURERBienp5GeHi40a5dO+PTTz+17nPlNjDz58/P99grtyeZOXNmvvXvvfeeUb58ecPb29u47777jC1btlx1GxjDMIycnBzj7bffNurWrWt4e3sbJUuWNO6++25j/PjxRmpq6s18+4wlS5YYHTp0MEqWLGl4e3sb1atXN1566SXj7Nmz13zMf/7zHwMwqlevfs19Vq1aZXTs2NEIDg42fHx8jGrVqhkDBgwwtmzZYt2nf//+hr+//03V+U+3cxuYyZMnX1VjQc/LtX6mbqYnESle9FFwIiIiIi5G7wEUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARURERFyMPgnkDlgsFk6dOkVgYOAtf+aoiIiI2IdhGKSnp1OuXLmrPsnIVSgA3oFTp04RERFh7zJERETkNpw4cYIKFSrYuwy7UAC8A4GBgcBfP0BBQUGFOrbZbObHH38kMjLyqs8cdQbqz/E5e4/qz/E5e4/q7/alpaURERFh/TvuihQA78CVad+goKAiCYB+fn4EBQU57Qtb/Tk2Z+9R/Tk+Z+9R/d05V377lmtOfIuIiIi4MAVAERERERejACgiIiLiYhQARURERFyMAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBiHDIAfffQRDRo0sH4CR8uWLfnhhx+s27OysoiOjqZUqVIEBATQo0cPkpOT841x/PhxunTpgp+fH6GhoYwcOZLc3FxbtyIiIiJicw4ZACtUqMCkSZPYunUrW7Zs4cEHH+SRRx5h9+7dAAwbNozvvvuO+fPns2bNGk6dOsVjjz1mfXxeXh5dunQhJyeH3377jS+//JJZs2YxZswYe7UkIiIiYjMO+VnAXbt2zbf8xhtv8NFHH7Fx40YqVKjA559/TlxcHA8++CAAM2fOpHbt2mzcuJEWLVrw448/smfPHn766SfCwsJo1KgREydOZNSoUYwbNw4vLy97tCUiIiJ/Yxj2rsB5OWQA/Lu8vDzmz5/PpUuXaNmyJVu3bsVsNtO+fXvrPrVq1aJixYps2LCBFi1asGHDBurXr09YWJh1n44dOzJkyBB2795N48aNCzxWdnY22dnZ1uW0tDTgrw+sNpvNhdrXlfEKe9ziQv05PmfvUf05Pmfv0dn723LkHG/vcKfmPalUDwsu1LGd9Xt2Kxw2AO7cuZOWLVuSlZVFQEAAixcvpk6dOiQmJuLl5UWJEiXy7R8WFkZSUhIASUlJ+cLfle1Xtl3LW2+9xfjx469a/+OPP+Ln53eHHRUsPj6+SMYtLtSf43P2HtWf43P2Hp2tP8OAVadNfHfcDYthYlTcBgbVtBTqMTIzMwt1PEfksAGwZs2aJCYmkpqayoIFC+jfvz9r1qwp0mOOHj2a4cOHW5fT0tKIiIggMjKSoKCgQj2W2WwmPj6eDh064OnpWahjFwfqz/E5e4/qz/E5e4/O2N/FzBxGLdrFqmPnAGgUYuGTZ1oTEuhbqMe5MoPnyhw2AHp5eVG9enUA7r77bjZv3szUqVPp1asXOTk5pKSk5DsLmJycTHh4OADh4eH8/vvv+ca7cpXwlX0K4u3tjbe391XrPT09i+zFV5RjFwfqz/E5e4/qz/E5e4/O0t+Woxd4Yc42TqVm4eXhxquda1Li7E5CAn0LvT9n+H7dKYe8CrggFouF7Oxs7r77bjw9Pfn555+t2/bt28fx48dp2bIlAC1btmTnzp2cOXPGuk98fDxBQUHUqVPH5rWLiIi4KovF4MPVB+n16UZOpWZRpbQ/i5+/l77NIjCZ7F2d83LIM4CjR4+mc+fOVKxYkfT0dOLi4li9ejUrV64kODiYQYMGMXz4cEJCQggKCmLo0KG0bNmSFi1aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wDN8IiIiUvjOZ2Qz/JvtrNl/FoBHGpXjjUfrE+DtoQs1iphDBsAzZ87w1FNPcfr0aYKDg2nQoAErV66kQ4cOALz//vu4ubnRo0cPsrOz6dixIx9++KH18e7u7ixbtowhQ4bQsmVL/P396d+/PxMmTLBXSyIiIi5l0+HzvDB3G8lp2Xh7uDG+W116NY3ApNN+NuGQAfDzzz+/7nYfHx9iY2OJjY295j6VKlVi+fLlhV2aiIiIXEeexeDDVQd5/6f9WAyoVsaf2L5NqBVeuBdTyvU5ZAAUERERx3M2PZt/z9vGrwfPA9CjSQUmdq+Ln5fiiK3pOy4iIiJF7teD53hxbiLnMrLx9XRnYvd6PH53BXuX5bIUAEVERKTI5FkMpv58gOm/HMAwoEZYALFRTbgrLNDepbk0BUAREREpEslpWbwwZxubjlwAoHfTCMZ2rYuvl7udKxMFQBERESl0a/afZfi8RM5fysHfy503H6vPI43K27ss+f8pAIqIiEihyc2z8F78fj5afQiA2mWDiI1qTNUyAXauTP5OAVBEREQKxamUy7wwZxtbjl0EoF+LirzWpQ4+npryLW4UAEVEROSO/fJHMsO/2U5KppkAbw8m9ajPww3K2bssuQYFQBEREblt5jwLk1fu49O1hwGoXz6YGVGNqVTK386VyfUoAIqIiMhtOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOVb3CkAioiIyC1buTuJkfO3k5aVS5CPB+883pBO9cLtXZbcJAVAERERuWk5uRbe+mEvM389CkDDiBLM6NOYiBA/+xYmt0QBUERERG7K8fOZxMxJYMfJVAAG31+FkR1r4eXhZufK5FYpAIqIiMgNLd95mlELdpCenUsJP0/efbwh7euE2bssuU0KgCIiInJNWeY83vh+L19vPAbA3ZVKMq1PY8qX8LVzZXInFABFRESkQEfOXSJ6dgJ7TqcBMKRNNYZ3qIGnu6Z8HZ0CoIiIiFzl28Q/eXXRTi7l5BHi78WUng1pUzPU3mVJIVEAFBEREasscx7jv9vNnN9PANCsSgjTejcmPNjHzpVJYVIAFBEREQAOnskgenYC+5LTMZkgpm11Xmx3Fx6a8nU6CoAiIiLCwq0neW3JLi6b8ygd4M0HvRrR6q7S9i5LiogCoIiIiAvLzMllzLe7WbD1JAD3VivFB70bERqoKV9npgAoIiLiovYnpxM9O4EDZzJwM8GL7WoQ82B13N1M9i5NipgCoIiIiIsxDINvtpxg7NLdZJkthAZ6M7V3Y1pWK2Xv0sRGFABFRERcSEZ2Lq8t3smSxFMA3H9Xad7v1YjSAd52rkxsSQFQRETERew5lUZMXAKHz13C3c3ES5E1eO6BarhpytflKACKiIg4OcMwiPv9OOO/20NOroWywT5M69OYppVD7F2a2IkCoIiIiBNLzzLzyqKdfL/jNAAP1grl3ScaEuLvZefKxJ4UAEVERJzUrj9TiY5L4Nj5TDzcTLzcqSbPtKqqKV9RABQREXE2hmHw5W9HeXP5H+TkWShfwpfpUY1pUrGkvUuTYkIBUERExImkXjYzasEOVuxOAqBDnTDefbwhwX6edq5MihMFQBERESeReCKFmLgETl68jKe7idGdazPwvsqYTJrylfwc8tOd33rrLZo2bUpgYCChoaF0796dffv2WbcfPXoUk8lU4Nf8+fOt+xW0fe7cufZoSURE5LYZhsH/W3eYxz/6jZMXLxMR4suC5+7l6VZVFP6kQA55BnDNmjVER0fTtGlTcnNzefXVV4mMjGTPnj34+/sTERHB6dOn8z3m008/ZfLkyXTu3Dnf+pkzZ9KpUyfrcokSJWzRgoiISKFIyTQzekkiP+09A8BD9cOZ1KMBQT6a8pVrc8gAuGLFinzLs2bNIjQ0lK1bt/LAAw/g7u5OeHh4vn0WL15Mz549CQgIyLe+RIkSV+0rIiLiCI6kw6QPN3A6NQsvDzdef7gO/ZpX1Fk/uSGHDID/lJqaCkBISME3tNy6dSuJiYnExsZetS06OppnnnmGqlWr8txzzzFw4MBrvnCys7PJzs62LqelpQFgNpsxm8132kY+V8Yr7HGLC/Xn+Jy9R/Xn+Jy5R4vF4NO1h5i2yx0LWVQu5cfUXg2oUzaI3Nxce5dXKIry+XPGn4lbZTIMw7B3EXfCYrHQrVs3UlJSWL9+fYH7PP/886xevZo9e/bkWz9x4kQefPBB/Pz8+PHHHxk7dizvvPMOL7zwQoHjjBs3jvHjx1+1Pi4uDj8/vztvRkRE5AYyzPC/g27sTfnrbfxNSlnoVc2Cj7udC3MgmZmZREVFkZqaSlBQkL3LsQuHD4BDhgzhhx9+YP369VSoUOGq7ZcvX6Zs2bK8/vrrvPTSS9cda8yYMcycOZMTJ04UuL2gM4ARERGcO3eu0H+AzGYz8fHxdOjQAU9P53sfh/pzfM7eo/pzfM7Y4+9HLzD8m50kp2fj7eFG94pmxvRth5eX832qR1E+f2lpaZQuXdqlA6BDTwHHxMSwbNky1q5dW2D4A1iwYAGZmZk89dRTNxyvefPmTJw4kezsbLy9va/a7u3tXeB6T0/PIvvlUpRjFwfqz/E5e4/qz/E5Q48Wi8GHqw8yJX4/FgOqlfFnas8GHEpYh5eXl8P3dz1F8fw58/frZjlkADQMg6FDh7J48WJWr15NlSpVrrnv559/Trdu3ShTpswNx01MTKRkyZIFhjwRERF7OJuezfBvEll34BwAjzUpz8RH6uHlZnDIzrWJ43LIABgdHU1cXBzffvstgYGBJCX9dbfz4OBgfH19rfsdPHiQtWvXsnz58qvG+O6770hOTqZFixb4+PgQHx/Pm2++yYgRI2zWh4iIyPX8dvAcL85L5Gx6Nr6e7kx4pC5P3BMB6EIGuTMOGQA/+ugjANq0aZNv/cyZMxkwYIB1+YsvvqBChQpERkZeNYanpyexsbEMGzYMwzCoXr06U6ZMYfDgwUVZuoiIyA3lWQym/nyA6b8cwDCgRlgAsVFNuCss0N6liZNwyAB4s9etvPnmm7z55psFbuvUqVO+G0CLiIgUB8lpWbw4dxsbD18AoNc9EYzrVhdfL13mK4XHIQOgiIiIM1q7/yzD5iVy/lIOfl7uvPlofbo3Lm/vssQJKQCKiIjYWW6ehfd/2s+Hqw9hGFC7bBCxUY2pWibgxg8WuQ0KgCIiInZ0OvUyL8zZxuajFwHo27wirz9cBx9PTflK0VEAFBERsZNVf5xh+DeJXMw0E+DtwaQe9Xm4QTl7lyUuQAFQRETExsx5Ft5duY9P1h4GoF75IGb0aULl0v52rkxchQKgiIiIDZ28mMnQOdvYdjwFgAH3Vmb0Q7Xw9tCUr9iOAqCIiIiN/Lg7iZELdpB62UygjweTH29Ap3pl7V2WuCAFQBERkSKWk2th0g9/8MWvRwBoWCGYGVFNiAjxs3Nl4qoUAEVERIrQiQuZxMQlsP1kKgDPtKrCy51q4eXhZufKxJUpAIqIiBSRH3ae5uWFO0jPyiXY15P3nmhI+zph9i5LRAFQRESksGWZ83hz+V6+2nAMgLsrlWRan8aUL+Fr58pE/qIAKCIiUoiOnLtETFwCu0+lAfBc62q8FFkDT3dN+UrxoQAoIiJSSJZuP8Wri3aSkZ1LiL8X7/VsSNuaofYuS+QqCoAiIiJ3KMucx/jv9jDn9+MANKscwrQ+jQkP9rFzZSIFUwAUERG5AwfPZBATl8AfSemYTBDTtjovtrsLD035SjGmACgiInKbFiWc5LUlu8jMyaN0gBfv92rE/XeVsXdZIjekACgiInKLMnNyGfvtbuZvPQlAy6qlmNq7EaFBmvIVx6AAKCIicgv2J6cTPTuBA2cycDPBi+1qEPNgddzdTPYuTeSmKQCKiIjcBMMwmL/1JGO+3UWW2UJooDdTezemZbVS9i5N5JYpAIqIiNzApexcXluyi8Xb/gTg/rtK836vRpQO8LZzZSK3RwFQRETkOvaeTiM6LoHDZy/h7mZieIcaDGldDTdN+YoDUwAUEREpgGEYzPn9BOO+201OroXwIB+mRzWmaeUQe5cmcscUAEVERP4hPcvMq4t38d32UwC0rVmG93o2IsTfy86ViRQOBUAREZG/2fVnKjFxCRw9n4mHm4mXO9XkmVZVNeUrTkUBUEREhL+mfL/acIw3vt9LTp6F8iV8mdanMXdXKmnv0kQKnQKgiIi4vNTLZl5ZuIMfdiUB0L52GO8+0YASfpryFeekACgiIi5t+4kUYuYkcOLCZTzdTYzuXJuB91XGZNKUrzgvBUAREXFJhmHwxa9HmfTDXsx5BhEhvszo04SGESXsXZpIkVMAFBERl5OSmcOI+Tv4aW8yAJ3rhTOpRwOCfT3tXJmIbSgAioiIS9l67CIvzNnGnymX8XJ34/WHa9OvRSVN+YpLUQAUERGXYLEYfLbuMJNX7iPXYlC5lB8zoppQr3ywvUsTsTk3exdwO9566y2aNm1KYGAgoaGhdO/enX379uXbp02bNphMpnxfzz33XL59jh8/TpcuXfDz8yM0NJSRI0eSm5try1ZERMQGLlzKYdCXm3nrhz/ItRh0bViO74a2UvgTl+WQZwDXrFlDdHQ0TZs2JTc3l1dffZXIyEj27NmDv7+/db/BgwczYcIE67Kfn5/133l5eXTp0oXw8HB+++03Tp8+zVNPPYWnpydvvvmmTfsREZGis/noRYbP30lSWhbeHm6M61aX3k0jNOUrLs0hA+CKFSvyLc+aNYvQ0FC2bt3KAw88YF3v5+dHeHh4gWP8+OOP7Nmzh59++omwsDAaNWrExIkTGTVqFOPGjcPLS/d+EhFxZBaLwY8nTazYtIU8i0HVMv7ERjWhdtkge5cmYncOGQD/KTU1FYCQkPwf0D179mz+97//ER4eTteuXXn99detZwE3bNhA/fr1CQsLs+7fsWNHhgwZwu7du2ncuPFVx8nOziY7O9u6nJaWBoDZbMZsNhdqT1fGK+xxiwv15/icvUf159jOZ2Tz0vwd/HrCHTDo3rAs47rWxt/bw2l6dvbnsCj7c9bv2a0wGYZh2LuIO2GxWOjWrRspKSmsX7/euv7TTz+lUqVKlCtXjh07djBq1CiaNWvGokWLAHj22Wc5duwYK1eutD4mMzMTf39/li9fTufOna861rhx4xg/fvxV6+Pi4vJNL4uIiP0cSDXx1QE30swmPN0MHq9ioXkZA834yhWZmZlERUWRmppKUJBrnhF2+DOA0dHR7Nq1K1/4g78C3hX169enbNmytGvXjkOHDlGtWrXbOtbo0aMZPny4dTktLY2IiAgiIyML/QfIbDYTHx9Phw4d8PR0vvtSqT/H5+w9qj/Hk2cx+HD1YT7ceAiLAdXL+PN4uVSeesR5evw7Z3wO/64o+7syg+fKHDoAxsTEsGzZMtauXUuFChWuu2/z5s0BOHjwINWqVSM8PJzff/893z7JyX/dEPRa7xv09vbG29v7qvWenp5F9uIryrGLA/Xn+Jy9R/XnGM6kZfHi3EQ2HD4PQM97KvBa55qs+mml0/R4Lerv9sZ0dQ55GxjDMIiJiWHx4sX88ssvVKlS5YaPSUxMBKBs2bIAtGzZkp07d3LmzBnrPvHx8QQFBVGnTp0iqVtERArfugNneWjaOjYcPo+flzvv92rIO483xNfL3d6liRRbDnkGMDo6mri4OL799lsCAwNJSkoCIDg4GF9fXw4dOkRcXBwPPfQQpUqVYseOHQwbNowHHniABg0aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wLN8IiJSvOTmWfjgpwPErj6IYUCt8EBi+zahWpkAe5cmUuw5ZAD86KOPgL9u9vx3M2fOZMCAAXh5efHTTz/xwQcfcOnSJSIiIujRowevvfaadV93d3eWLVvGkCFDaNmyJf7+/vTv3z/ffQNFRKR4Op16mRfnJPL70QsARDWvyJiH6+DjqbN+IjfDIQPgjS5cjoiIYM2aNTccp1KlSixfvrywyhIRERtYte8Mw+clcjHTTIC3B289Vp+uDcvZuywRh+KQAVBERFyPOc/Cuz/u45M1hwGoVz6IGX2aULm0/w0eKSL/pAAoIiLF3p8plxkal0DC8RQA+resxKtdauPtoSlfkduhACgiIsVa/J5kRszfTuplM4E+HrzTowGd65e1d1kiDk0BUEREiqWcXAtvr/iDz9cfAaBhhWBmRDUhIkSfvCRypxQARUSk2DlxIZOYOdvYfiIFgEGtqjCqUy28PBzy9rUixY4CoIiIFCsrdp1m5IIdpGflEuzrybtPNKRDnTB7lyXiVBQARUSkWMjOzePN7/fy5YZjADSpWILpUU0oX8LXzpWJOB8FQBERsbuj5y4RMyeBXX+mAfCv1lUZEVkTT3dN+YoUBQVAERGxq++2n2L0op1kZOdS0s+TKT0b0bZWqL3LEnFqCoAiImIXWeY8JizbQ9ym4wA0qxzC1D6NKBusKV+RoqYAKCIiNnfobAbRsxP4Iykdkwmi21Tn3+3vwkNTviI2oQAoIiI2tXjbSf6zeBeZOXmUDvDi/V6NuP+uMvYuS8SlKACKiIhNXM7JY+zSXXyz5SQALauWYmrvRoQG+di5MhHXowAoIiJF7kByOtFxCexPzsBkghfb3cXQB+/C3c1k79JEXJICoIiIFBnDMJi/9SRjvt1FltlCmUBvpvZuxL3VStu7NBGXpgAoIiJF4lJ2Lq8v2cWibX8CcP9dpXm/VyNKB3jbuTIRUQAUEZFCt/d0GjFxCRw6ewk3E7wUWZMhravhpilfkWJBAVBERAqNYRjM+f0E47/bTXauhfAgH6b1aUyzKiH2Lk1E/kYBUERECkV6lplXF+/iu+2nAGhTswxTejYixN/LzpWJyD8pAIqIyB3b9WcqMXEJHD2fiYebiZEdazL4/qqa8hUpphQARUTkthmGwf82HmPisr3k5FkoX8KXaX0ac3elkvYuTUSuQwFQRERuS1qWmVcW7mD5ziQA2tcO490nGlDCT1O+IsWdAqCIiNyy7SdSiJmTwIkLl/F0N/FK59o8fV9lTCZN+Yo4AgVAERG5aYZhMPPXo7z1w17MeQYRIb7M6NOEhhEl7F2aiNwCBUAREbkpKZk5jFywg/g9yQB0rhfOpB4NCPb1tHNlInKrFABFROSGEo5fZGjcNv5MuYyXuxuvPVybJ1tU0pSviINSABQRkWuyWAw+W3eYySv3kWsxqFTKj9ioJtQrH2zv0kTkDigAiohIgS5cymHE/O388scZAB5uUJa3HqtPoI+mfEUcnQKgiIhcZfPRCwyN20ZSWhbeHm6M7VqXPs0iNOUr4iQUAEVExMpiMfhozSGmxO8nz2JQtYw/sVFNqF02yN6liUghUgAUEREAzmVkM2xeIusOnAPgscblmdi9Hv7e+lMh4mzcbHkws9nMiRMn2LdvHxcuXLjtcd566y2aNm1KYGAgoaGhdO/enX379lm3X7hwgaFDh1KzZk18fX2pWLEiL7zwAqmpqfnGMZlMV33NnTv3tusSEXFUGw6d56Gp61h34Bw+nm6883gD3uvZUOFPxEkV+Ss7PT2d//3vf8ydO5fff/+dnJwcDMPAZDJRoUIFIiMjefbZZ2natOlNj7lmzRqio6Np2rQpubm5vPrqq0RGRrJnzx78/f05deoUp06d4t1336VOnTocO3aM5557jlOnTrFgwYJ8Y82cOZNOnTpZl0uUKFFYrYuIFHt5FoMPfzrA1J/3YzHgrtAAYvs2oUZYoL1LE5EiVKQBcMqUKbzxxhtUq1aNrl278uqrr1KuXDl8fX25cOECu3btYt26dURGRtK8eXOmT5/OXXfddcNxV6xYkW951qxZhIaGsnXrVh544AHq1avHwoULrdurVavGG2+8Qb9+/cjNzcXD4//aLlGiBOHh4YXXtIiIg0jLgYFfbmXD4b9mZHreU4Hx3erh6+Vu58pEpKgVaQDcvHkza9eupW7dugVub9asGU8//TQff/wxM2fOZN26dTcVAP/pytRuSEjIdfcJCgrKF/4AoqOjeeaZZ6hatSrPPfccAwcOvOZVbtnZ2WRnZ1uX09LSgL+mts1m8y3XfT1XxivscYsL9ef4nL1HZ+9vzb5k3t7hTob5An5e7ozvWpvujcoBFsxmi73LKxTO/hyqvzsf25WZDMMw7F3EnbBYLHTr1o2UlBTWr19f4D7nzp3j7rvvpl+/frzxxhvW9RMnTuTBBx/Ez8+PH3/8kbFjx/LOO+/wwgsvFDjOuHHjGD9+/FXr4+Li8PPzK5yGRESKUJ4BK064Ef+nCQMTZf0MBtbII8zX3pWJ2E5mZiZRUVHWk0OuyOED4JAhQ/jhhx9Yv349FSpUuGp7WloaHTp0ICQkhKVLl+Lpee0bmI4ZM4aZM2dy4sSJArcXdAYwIiKCc+fOFfoPkNlsJj4+ng4dOly3Zkel/hyfs/fojP0lpWUxfP5ONh+9CMC9YRZmPN2GQD8fO1dWNJzxOfw79Xf70tLSKF26tEsHwCK/COTpp5++qf2++OKLWx47JiaGZcuWsXbt2gLDX3p6Op06dSIwMJDFixff8AeoefPmTJw4kezsbLy9va/a7u3tXeB6T0/PInvxFeXYxYH6c3zO3qOz9Ld63xmGf7OdC5dyCPD2YGK32rid3Eagn49T9Hc9zvIcXov6u70xXV2RB8BZs2ZRqVIlGjduTGGdbDQMg6FDh7J48WJWr15NlSpVrtonLS2Njh074u3tzdKlS/HxufH/cBMTEylZsmSBIU9ExBGZ8yy89+N+Pl5zCIC65YKIjWpC+WAvlp/cZufqRMReijwADhkyhDlz5nDkyBEGDhxIv379rnuxxs2Ijo4mLi6Ob7/9lsDAQJKSkgAIDg7G19eXtLQ0IiMjyczM5H//+x9paWnWCzbKlCmDu7s73333HcnJybRo0QIfHx/i4+N58803GTFixB33LCJSHPyZcpkX5mxj67G/pnz7t6zE6Idq4+PprjfBi7i4Ir8RdGxsLKdPn+bll1/mu+++IyIigp49e7Jy5crbPiP40UcfkZqaSps2bShbtqz1a968eQAkJCSwadMmdu7cSfXq1fPtc+X9fZ6ensTGxtKyZUsaNWrEJ598wpQpUxg7dmyh9S4iYi8/7Ummy7R1bD12kUAfDz7q24Txj9TDx1O3eBERG30UnLe3N3369KFPnz4cO3aMWbNm8fzzz5Obm8vu3bsJCAi4pfFuFBzbtGlzw306deqU7wbQIiLOICfXwjsr/uD/rT8CQMMKwUzv04SKpXSnAhH5Pzb/jB83NzdMJhOGYZCXl2frw4uIOK0TFzKJmbON7SdSAHj6viq80rkWXh42/dRPEXEANvmtkJ2dzZw5c+jQoQM1atRg586dzJgxg+PHj9/y2T8REbnail1JPDRtHdtPpBDs68lnT93DmK51FP5EpEBFfgbw+eefZ+7cuURERPD0008zZ84cSpcuXdSHFRFxCdm5eby1/A9m/XYUgCYVSzCtT2MqlNSUr4hcW5EHwI8//piKFStStWpV1qxZw5o1awrcb9GiRUVdioiIUzl2/hIxcdvY+edfH4f5r9ZVGRFZE093nfUTkesr8gD41FNPXfOzdUVE5PYs23GKVxbuJCM7l5J+nkzp2Yi2tULtXZaIOAib3AhaREQKR5Y5j4nL9jB703EAmlYuybQ+jSkbrA/zFZGbZ/OrgEVE5PYcOptB9OwE/khKx2SC6DbV+Xf7u/DQlK+I3CKb/NY4c+YMJ0+etC7n5uby2muv0bp1a1566SUyMzNtUYaIiMNasu1Puk5fzx9J6ZTy9+Krp5sxomNNhT8RuS02+c0xePBgvvzyS+vy5MmT+eyzz2jatClLly5l2LBhtihDRMThXM7JY9SCHfx7XiKZOXm0rFqKH168n/vvKmPv0kTEgdkkAO7YsYO2bdtal7/++mumTZvGu+++y9y5c/nuu+9sUYaIiEM5kJzOI7HrmbflBCYTvNjuLv73THNCg3zsXZqIOLgifQ/gwIEDATh16hRTpkzhs88+Iycnh3379rF48WJWrlyJxWLhzJkzPP300wB88cUXRVmSiIhDmL/lBGO+3c1lcx5lAr2Z2qsR91bXPVRFpHAUaQCcOXMmAGvXrmXQoEF07tyZefPmsXPnTubOnQvA+fPnWbp0qYKfiAhwKTuX17/dxaKEPwG4/67STOnZiDKB3nauTESciU2uAu7SpQtPP/003bp1Y8mSJbz88svWbb///jt16tSxRRkiIsXaH0lpRM9O4NDZS7iZ4KXImgxpXQ03N91LVUQKl00C4DvvvENwcDCJiYkMGzYs30UfmzZt4rnnnrNFGSIixZJhGMzbfIKxS3eTnWshPMiHaX0a06xKiL1LExEnZZMA6OPjw8SJEwvcNm7cOFuUICJSLGVk5/Lqop0s3X4KgDY1yzClZyNC/L3sXJmIODPdCFpExE52/ZlKTFwCR89n4u5m4uWONRl8f1VN+YpIkSvS28B06tSJjRs33nC/9PR03n77bWJjY4uyHBGRYsEwDL7ecJTHPvqNo+czKRfswzf/asm/9H4/EbGRIj0D+MQTT9CjRw+Cg4Pp2rUr99xzD+XKlcPHx4eLFy+yZ88e1q9fz/Lly+nSpQuTJ08uynJEROwuLcvMKwt3sHxnEgDta4fx7hMNKOGnKV8RsZ0iDYCDBg2iX79+zJ8/n3nz5vHpp5+SmpoKgMlkok6dOnTs2JHNmzdTu3btoixFRMTudpxMISZuG8cvZOLpbmJUp1oMalUFk0ln/UTEtor8PYDe3t7069ePfv36AZCamsrly5cpVaoUnp6eRX14ERG7MwyDmb8e5a0f9mLOM6hQ0pcZUU1oFFHC3qWJiIuy+UUgwcHBBAcH2/qwIiJ2kZppZuSC7fy4JxmATnXDefvxBgT76j/AImI/ugpYRKSIbDt+kZi4bfyZchkvdzdee7g2T7aopClfEbE7BUARkUJmsRh8vv4Ib6/4g1yLQaVSfsRGNaFeec1+iEjxoAAoIlKILl7K4aX52/nljzMAPNygLG89Vp9AH035ikjxoQAoIlJIthy9wNA52zidmoWXhxvjutalT7MITfmKSLFj0wCYkpLCggULOHToECNHjiQkJISEhATCwsIoX768LUsRESk0FovBR2sOMSV+P3kWg6ql/Ynt24TaZYPsXZqISIFsFgB37NhB+/btCQ4O5ujRowwePJiQkBAWLVrE8ePH+eqrr2xViohIoTmXkc3wb7azdv9ZAB5tXJ7/dq+Hv7cmWESk+CrSj4L7u+HDhzNgwAAOHDiAj4+Pdf1DDz3E2rVrbVWGiEih2Xj4PA9NXcfa/Wfx8XTjnccbMKVnQ4U/ESn2bPZbavPmzXzyySdXrS9fvjxJSUm2KkNE5I7lWQxm/HKQqT/vx2LAXaEBxPZtQo2wQHuXJiJyU2wWAL29vUlLS7tq/f79+ylTpoytyhARuSNn0rMYNi+RXw+eB+CJuysw/pG6+HnprJ+IOA6bTQF369aNCRMmYDabgb8+C/j48eOMGjWKHj162KoMEZHb9uvBczw0dT2/HjyPn5c7U3o2ZPITDRX+RMTh2CwAvvfee2RkZBAaGsrly5dp3bo11atXJzAwkDfeeOOWxnrrrbdo2rQpgYGBhIaG0r17d/bt25dvn6ysLKKjoylVqhQBAQH06NGD5OTkfPscP36cLl264OfnR2hoKCNHjiQ3N/eOexUR55KbZ2HKj/vo9/kmzmVkUys8kKUxrXisSQV7lyYiclts9t/W4OBg4uPjWb9+PTt27CAjI4MmTZrQvn37Wx5rzZo1REdH07RpU3Jzc3n11VeJjIxkz549+Pv7AzBs2DC+//575s+fT3BwMDExMTz22GP8+uuvAOTl5dGlSxfCw8P57bffOH36NE899RSenp68+eabhdq7iDiu5LQshi/Yxe9HLgDQp1lFxnatg4+nu50rExG5fTaft2jVqhWtWrW6ozFWrFiRb3nWrFmEhoaydetWHnjgAVJTU/n888+Ji4vjwQcfBGDmzJnUrl2bjRs30qJFC3788Uf27NnDTz/9RFhYGI0aNWLixImMGjWKcePG4eXldUc1iojj23vRxLjYDVzMNOPv5c5bPRrQrWE5e5clInLHbBYAJ0yYcN3tY8aMue2xU1NTAQgJCQFg69atmM3mfGcXa9WqRcWKFdmwYQMtWrRgw4YN1K9fn7CwMOs+HTt2ZMiQIezevZvGjRtfdZzs7Gyys7Oty1cuajGbzdb3NhaWK+MV9rjFhfpzfM7cY26ehffi9/P//nAHzNQpG8jUXg2oXMrfafp15ufvCmfvUf3d+diuzGQYhmGLA/0zUJnNZo4cOYKHhwfVqlUjISHhtsa1WCx069aNlJQU1q9fD0BcXBwDBw7MF9YAmjVrRtu2bXn77bd59tlnOXbsGCtXrrRuz8zMxN/fn+XLl9O5c+erjjVu3DjGjx9/1fq4uDj8/Pxuq34RKV4uZsOXB9w5kv7Xx7fdH2bhkcoWPG32jmkRKWqZmZlERUWRmppKUJBrfmKPzc4Abtu27ap1aWlpDBgwgEcfffS2x42OjmbXrl3W8FeURo8ezfDhw63LaWlpREREEBkZWeg/QGazmfj4eDp06ICnp/N9iLz6c3zO2OMv+87ywcJdpFw2E+DtzhOVchjZu73T9Pd3zvj8/ZOz96j+bl9Bt6VzNXa9d0FQUBDjx4+na9euPPnkk7f8+JiYGJYtW8batWupUOH/rsYLDw8nJyeHlJQUSpQoYV2fnJxMeHi4dZ/ff/8933hXrhK+ss8/eXt74+3tfdV6T0/PInvxFeXYxYH6c3zO0GNOroV3VvzB/1t/BICGFYKZ8kR9dm1c7RT9XY+z9wfO36P6u70xXZ3dJzVSU1Ot7+G7WYZhEBMTw+LFi/nll1+oUqVKvu133303np6e/Pzzz9Z1+/bt4/jx47Rs2RKAli1bsnPnTs6cOWPdJz4+nqCgIOrUqXMHHYmIIzlxIZOen2ywhr+n76vC/OfupWKI3tYhIs7LZmcAp02blm/ZMAxOnz7N119/XeD77a4nOjqauLg4vv32WwIDA60fJRccHIyvry/BwcEMGjSI4cOHExISQlBQEEOHDqVly5a0aNECgMjISOrUqcOTTz7JO++8Q1JSEq+99hrR0dEFnuUTEeezcncSI+dvJy0rlyAfD959oiGRdf+aATCb8+xcnYhI0bFZAHz//ffzLbu5uVGmTBn69+/P6NGjb2msjz76CIA2bdrkWz9z5kwGDBhgPZ6bmxs9evQgOzubjh078uGHH1r3dXd3Z9myZQwZMoSWLVvi7+9P//79b3i1sog4vuzcPN5a/gezfjsKQOOKJZjepzEVSuqsn4i4BpsFwCNHjhTaWDdz4bKPjw+xsbHExsZec59KlSqxfPnyQqtLRIq/Y+cvERO3jZ1//vXWk389UJURHWvi6W73d8SIiNiMPsBSRFzG9ztO88rCHaRn51LSz5P3ejbkwVphN36giIiTsVkAvHTpEpMmTeLnn3/mzJkzWCyWfNsPHz5sq1JExMVkmfP47/d7+N/G4wA0rVySaX0aUzbY186ViYjYh80C4DPPPMOaNWt48sknKVu2LCaTyVaHFhEXdvhsBtFx29h7Og2TCZ5vU41h7WvgoSlfEXFhNguAP/zwA99//z333XefrQ4pIi7u28Q/eXXRTi7l5FHK34v3ezXigRpl7F2WiIjd2SwAlixZ0vpZvSIiRelyTh7jv9vN3M0nAGhRNYSpvRsTFuRj58pERIoHm82BTJw4kTFjxpCZmWmrQ4qICzp4Jp3usb8yd/MJTCZ4sd1dzH6mhcKfiMjf2OwM4HvvvcehQ4cICwujcuXKV30MS0JCgq1KEREntWDrSV5fsovL5jzKBHoztVcj7q1e2t5liYgUOzYLgN27d7fVoUTExWTm5PL6kt0sTDgJQKvqpXm/VyPKBOpTfURECmKzADh27FhbHUpEXMi+pHSen72VQ2cv4WaC4R1q8Hyb6ri56U4DIiLXYtMbQaekpLBgwQIOHTrEyJEjCQkJISEhgbCwMMqXL2/LUkTEwRmGwbzNJxi7dDfZuRbCgryZ1rsxzauWsndpIiLFns0C4I4dO2jfvj3BwcEcPXqUwYMHExISwqJFizh+/DhfffWVrUoREQeXkZ3Lfxbv5NvEUwC0rlGGKT0bUipAU74iIjfDZlcBDx8+nAEDBnDgwAF8fP7varyHHnqItWvX2qoMEXFwu0+l0nX6er5NPIW7m4lXOtdi5oCmCn8iIrfAZmcAN2/ezCeffHLV+vLly5OUlGSrMkTEQRmGwf82HWfisj3k5FooF+zD9KjG3F1J9xcVEblVNguA3t7epKWlXbV+//79lCmjO/OLyLWlZZkZvXAn3+88DUD72qFMfrwhJf297FyZiIhjstkUcLdu3ZgwYQJmsxkAk8nE8ePHGTVqFD169LBVGSLiYHacTOHhaev5fudpPNxMvNalNp89dY/Cn4jIHbBZAHzvvffIyMggNDSUy5cv07p1a6pXr05gYCBvvPGGrcoQEQdhGAYzfz1Cj49+4/iFTCqU9GXBkHt55v6qmEy6xYuIyJ2w2RRwcHAw8fHxrF+/nh07dpCRkUGTJk1o3769rUoQEQeRmmnm5YXbWbk7GYBOdcN5+/EGBPt63uCRIiJyM2wWAE+cOEFERAStWrWiVatWtjqsiDiYbccvEhO3jT9TLuPl7sZ/utTmqZaVdNZPRKQQ2WwKuHLlyrRu3ZrPPvuMixcv2uqwIuIgDMPgs7WHeeLjDfyZcplKpfxYOORe+t9bWeFPRKSQ2SwAbtmyhWbNmjFhwgTKli1L9+7dWbBgAdnZ2bYqQUSKqYuXcnjmyy28sXwvuRaDLg3KsmxoK+pXCLZ3aSIiTslmAbBx48ZMnjyZ48eP88MPP1CmTBmeffZZwsLCePrpp21VhogUM1uOXuChaev4+Y8zeHm48caj9ZjRpzGBPnq/n4hIUbFZALzCZDLRtm1bPvvsM3766SeqVKnCl19+aesyRMTOLBaDD1cfpNenGzmdmkXV0v4sef4++jbX+/1ERIqazS4CueLkyZPExcURFxfHrl27aNmyJbGxsbYuQ0Ts6HxGNsO/2c6a/WcB6N6oHP99tD4B3jb/lSQi4pJs9tv2k08+IS4ujl9//ZVatWrRt29fvv32WypVqmSrEkSkGNh4+Dwvzt1Gclo2Pp5uTOhWjyfuqaCzfiIiNmSzAPjf//6XPn36MG3aNBo2bGirw4pIMZFnMYhddZAPftqPxYDqoQHERjWhZnigvUsTEXE5NguAx48f1//wRVzUmfQshs1L5NeD5wF44u4KjH+kLn5emvIVEbEHm10EYjKZWLduHf369aNly5b8+eefAHz99desX7/eVmWIiI39evAcD01dz68Hz+Pr6c6Ung2Z/ERDhT8RETuyWQBcuHAhHTt2xNfXl23btlnv/5eamsqbb75pqzJExEbyLAZT4vfT7/NNnMvIplZ4IN8NbcVjTSrYuzQREZdnswD43//+l48//pjPPvsMT8//u7/XfffdR0JCgq3KEBEbSE7LIuqzjUz7+QCGAX2aRbAk+j6qhwbYuzQREcGG7wHct28fDzzwwFXrg4ODSUlJsVUZIlLE1uw/y7B5iVy4lIO/lztvPlafRxqVt3dZIiLyNzYLgOHh4Rw8eJDKlSvnW79+/XqqVq1qqzJEpIjk5ll4L34/H60+BECdskHE9m1CldL+dq5MRET+yWZTwIMHD+bFF19k06ZNmEwmTp06xezZsxkxYgRDhgy5pbHWrl1L165dKVeuHCaTiSVLluTbbjKZCvyaPHmydZ/KlStftX3SpEmF0aqIyzmVcpnen260hr8nW1Ri0fP3KvyJiBRTNjsD+Morr2CxWGjXrh2ZmZk88MADeHt7M2LECIYOHXpLY126dImGDRvy9NNP89hjj121/fTp0/mWf/jhBwYNGkSPHj3yrZ8wYQKDBw+2LgcG6n5kIrdq1b6zvLxoFymZZgK9PXj78QY8VL+svcsSEZHrsFkANJlM/Oc//2HkyJEcPHiQjIwM6tSpQ0BAAJcvX8bX1/emx+rcuTOdO3e+5vbw8PB8y99++y1t27a9aqo5MDDwqn1F5OaY8ywsOerGqg3bAGhQIZgZfZpQsZSfnSsTEZEbsfmNuLy8vKhTpw4A2dnZTJkyhXfeeYekpKQiOV5ycjLff/89X3755VXbJk2axMSJE6lYsSJRUVEMGzYMD49rf0uys7Ott68BSEtLA8BsNmM2mwu17ivjFfa4xYX6c2wnL17mxXnb2XH6r3eR9G9ZkZGRNfD2cHOanp39OXT2/sD5e1R/dz62KzMZhmEU5QGys7MZN24c8fHxeHl58fLLL9O9e3dmzpzJf/7zH9zd3YmJiWHUqFG3Nb7JZGLx4sV07969wO3vvPMOkyZN4tSpU/j4+FjXT5kyhSZNmhASEsJvv/3G6NGjGThwIFOmTLnmscaNG8f48eOvWh8XF4efn856iGvYccFE3EE3LueZ8HU3iKpuoUFIkf4aEREpVJmZmURFRZGamkpQUJC9y7GLIg+Ao0aN4pNPPqF9+/b89ttvnD17loEDB7Jx40ZeffVVnnjiCdzd3W97/BsFwFq1atGhQwemT59+3XG++OIL/vWvf5GRkYG3t3eB+xR0BjAiIoJz584V+g+Q2WwmPj6eDh065LtvorNQf44nO9fCOyv389XG4wA0LB9E97AL9HrYeXr8O2d8Dv/O2fsD5+9R/d2+tLQ0Spcu7dIBsMingOfPn89XX31Ft27d2LVrFw0aNCA3N5ft27cX+WcDr1u3jn379jFv3rwb7tu8eXNyc3M5evQoNWvWLHAfb2/vAsOhp6dnkb34inLs4kD9OYZj5y8RE7eNnX+mAvDsA1X594NViV+5wml6vBb15/icvUf1d3tjuroiD4AnT57k7rvvBqBevXp4e3szbNiwIg9/AJ9//jl33303DRs2vOG+iYmJuLm5ERoaWuR1iTiS73ec5pWFO0jPzqWknyfv9WzIg7XC9B4aEREHVuQBMC8vDy8vr/87oIcHAQF39nFQGRkZHDx40Lp85MgREhMTCQkJoWLFisBfp3fnz5/Pe++9d9XjN2zYwKZNm2jbti2BgYFs2LCBYcOG0a9fP0qWLHlHtYk4iyxzHv/9fg//+/+nfO+pVJLpUY0pG3zzV+yLiEjxVOQB0DAMBgwYYJ06zcrK4rnnnsPfP/8NYhctWnTTY27ZsoW2bdtal4cPHw5A//79mTVrFgBz587FMAz69Olz1eO9vb2ZO3cu48aNIzs7mypVqjBs2DDrOCKu7si5S0TPTmDP6b+udH++TTWGd6iBh7vN7h0vIiJFqMgDYP/+/fMt9+vX747HbNOmDTe6duXZZ5/l2WefLXBbkyZN2Lhx4x3XIeKMvk38k1cX7eRSTh6l/L2Y0qsRrWuUsXdZIiJSiIo8AM6cObOoDyEihSDLnMe4pbuZu/kEAC2qhjC1d2PCgnxu8EgREXE0Nr8RtIgUPwfPpBM9exv7ktMxmWDog3fxYru7cHcr+ou1RETE9hQARVzcgq0neX3JLi6b8ygd4M3U3o24r3ppe5clIiJFSAFQxEVl5uTy+pLdLEw4CcB91Uvxfq9GhAZqyldExNkpAIq4oH1J6UTHJXDwTAZuJhjWvgbPt62uKV8RERehACjiQgzD4JstJxjz7W6ycy2EBXkztXdjWlQtZe/SRETEhhQARVxERnYury3eyZLEUwC0rlGGKT0bUiqg4M++FhER56UAKOIC9pxKIyYugcPnLuHuZmJEZE3+9UBV3DTlKyLikhQARZyYYRjM3nScCcv2kJNroWywD9P7NOaeyiH2Lk1EROxIAVDESaVlmRm9aCff7zgNQLtaobz7RENK+nvd4JEiIuLsFABFnNDOk6nEzEng2PlMPNxMvNK5FoNaVcFk0pSviIgoAIo4FcMw+PK3o7y5/A9y8iyUL+HLjKjGNK5Y0t6liYhIMaIAKOIkUjPNvLxwOyt3JwMQWSeMyY83JNjP086ViYhIcaMAKOIEth2/yNA52zh58TJe7m68+lAt+t9bWVO+IiJSIAVAEQdmGAafrz/CpB/+INdiUDHEj9ioJtSvEGzv0kREpBhTABRxUBcv5TBi/nZ+/uMMAF3ql+WtHvUJ8tGUr4iIXJ8CoIgD2nrsAkPjtnEqNQsvDzfGPFyHvs0raspXRERuigKgiAOxWAw+WXuYd3/cR57FoEppf2ZENaZuOU35iojIzVMAFHEQ5zOyGf7NdtbsPwvAI43K8caj9Qnw1stYRERujf5yiDiATYfP88LcbSSnZePt4caER+rS854ITfmKiMhtUQAUKcbyLAYfrjrI+z/tx2JA9dAAYqOaUDM80N6liYiIA1MAFCmmzqZn8+952/j14HkAejSpwMTudfHz0stWRETujP6SiBRDvx48x4tzEzmXkY2vpzsTu9fj8bsr2LssERFxEgqAIsVInsVg6s8HmP7LAQwDaoYFEtu3MdVDNeUrIiKFRwFQpJhITsvixbnb2Hj4AgC9m0YwtmtdfL3c7VyZiIg4GwVAkWJgzf6zDJ+XyPlLOfh7ufPmY/V5pFF5e5clIiJOSgFQxI5y8yxMid/Ph6sPAVC7bBCxUY2pWibAzpWJiIgzUwAUsZNTKZd5Yc42thy7CMCTLSrxny618fHUlK+IiBQtBUARO/jlj2SGf7OdlEwzgd4eTOrRgC4Nytq7LBERcREKgCI2ZM6zMHnlPj5dexiA+uWDmRHVmEql/O1cmYiIuBIFQBEbOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOUrIiK25WbvAm7H2rVr6dq1K+XKlcNkMrFkyZJ82wcMGIDJZMr31alTp3z7XLhwgb59+xIUFESJEiUYNGgQGRkZNuxCXMnK3Uk8NHUdiSdSCPLx4JMn72Zct7oKfyIiYhcOeQbw0qVLNGzYkKeffprHHnuswH06derEzJkzrcve3t75tvft25fTp08THx+P2Wxm4MCBPPvss8TFxRVp7eJacnItvLliNzN/PQpAo4gSTO/TmIgQP/sWJiIiLs0hA2Dnzp3p3Lnzdffx9vYmPDy8wG179+5lxYoVbN68mXvuuQeA6dOn89BDD/Huu+9Srly5Qq9ZXM+5LOj9/35n559pAAy+vwojO9bCy8MhT7yLiIgTccgAeDNWr15NaGgoJUuW5MEHH+S///0vpUqVAmDDhg2UKFHCGv4A2rdvj5ubG5s2beLRRx8tcMzs7Gyys7Oty2lpf/1hN5vNmM3mQq3/yniFPW5x4ez9Ldv+J5N3uJOVl0YJX0/e7lGPB2uWASMPsznP3uUVCmd/DtWf43P2HtXfnY/tykyGYRj2LuJOmEwmFi9eTPfu3a3r5s6di5+fH1WqVOHQoUO8+uqrBAQEsGHDBtzd3XnzzTf58ssv2bdvX76xQkNDGT9+PEOGDCnwWOPGjWP8+PFXrY+Li8PPT1N6AmYLLDnqxvrkv87yVQk06H9XHiW9b/BAERGxmczMTKKiokhNTSUoKMje5diFU54B7N27t/Xf9evXp0GDBlSrVo3Vq1fTrl272x539OjRDB8+3LqclpZGREQEkZGRhf4DZDabiY+Pp0OHDnh6ehbq2MWBM/Z39PwlXpi7g73J6QC0L2fhvYFt8fNxzvTnjM/h36k/x+fsPaq/23dlBs+VOWUA/KeqVatSunRpDh48SLt27QgPD+fMmTP59snNzeXChQvXfN8g/PW+wn9eTALg6elZZC++ohy7OHCW/r5N/JNXF+3kUk4eIf5evNujHukHfsfPx9sp+rseZ3kOr0X9OT5n71H93d6Yrs4l3o1+8uRJzp8/T9myf33SQsuWLUlJSWHr1q3WfX755RcsFgvNmze3V5nigLLMeYxetIMX5yZyKSeP5lVC+OHF+7n/rtL2Lk1EROSaHPIMYEZGBgcPHrQuHzlyhMTEREJCQggJCWH8+PH06NGD8PBwDh06xMsvv0z16tXp2LEjALVr16ZTp04MHjyYjz/+GLPZTExMDL1799YVwHLTDp7JIHp2AvuS0zGZYGjb6rzQ7i483N30BmMRESnWHDIAbtmyhbZt21qXr7wvr3///nz00Ufs2LGDL7/8kpSUFMqVK0dkZCQTJ07MN307e/ZsYmJiaNeuHW5ubvTo0YNp06bZvBdxTAu3nuS1Jbu4bM6jdIA3H/RqRCud9RMREQfhkAGwTZs2XO/i5ZUrV95wjJCQEN30WW5ZZk4uY77dzYKtJwG4r3op3u/ViNBAHztXJiIicvMcMgCK2MP+5HSiZydw4EwGbib4d/saRLetjrubyd6liYiI3BIFQJEbMAyDb7acYOzS3WSZLYQGejOtT2NaVC1l79JERERuiwKgyHVkZOfy2uKdLEk8BcADNcowpWdDSgc45739RETENSgAilzDnlNpxMQlcPjcJdzdTLwUWYPnHqiGm6Z8RUTEwSkAivyDYRjM3nScCcv2kJNroWywD9P6NKZp5RB7lyYiIlIoFABF/iY9y8wri3by/Y7TADxYK5T3nmhISX8vO1cmIiJSeBQARf5/O0+mEjMngWPnM/FwMzGqUy0GtaqiKV8REXE6CoDi8gzD4MvfjvLm8j/IybNQvoQv06Ma06RiSXuXJiIiUiQUAMWlpV42M2rBDlbsTgIgsk4Ykx9vSLCfPihcRESclwKguKzEEynExCVw8uJlPN1NvPpQbQbcWxmTSVO+IiLi3BQAxeUYhsHn648w6Yc/yLUYVAzxY0ZUYxpUKGHv0kRERGxCAVBcSkpmDiPmb+envWcAeKh+OJN6NCDIR1O+IiLiOhQAxWVsPXaBoXHbOJWahZeHG68/XId+zStqyldERFyOAqA4PYvF4JO1h3n3x33kWQyqlPZnRlRj6pYLtndpIiIidqEAKE7tfEY2L83fzup9ZwHo1rAcbz5WnwBv/eiLiIjr0l9BcVqbDp/nhbnbSE7LxtvDjfHd6tKraYSmfEVExOUpAIrTybMYfLjqIO//tB+LAdXK+BPbtwm1woPsXZqIiEixoAAoTuVsejbD5iWy/uA5AB5rUp6Jj9TDX1O+IiIiVvqrKE7jt4PneHFeImfTs/H1dGfCI3V54p4Ie5clIiJS7CgAisPLsxhM/fkA0385gGFAjbAAYqOacFdYoL1LExERKZYUAMWhJadl8eLcbWw8fAGA3k0jGNu1Lr5e7nauTEREpPhSABSHtXb/WYbNS+T8pRz8vdx587H6PNKovL3LEhERKfYUAMXh5OZZmBK/nw9XHwKgdtkgYqMaU7VMgJ0rExERcQwKgOJQTqde5oU529h89CIAfZtX5PWH6+DjqSlfERGRm6UAKA5j1R9nGP5NIhczzQR4ezCpR30eblDO3mWJiIg4HAVAKfbMeRbeXbmPT9YeBqBe+SBio5pQqZS/nSsTERFxTAqAUqydvJjJ0Dnb2HY8BYAB91Zm9EO18PbQlK+IiMjtUgCUYuvH3UmMXLCD1MtmAn08mPx4AzrVK2vvskRERByeAqAUOzm5Ft76YS8zfz0KQMOIEszo05iIED/7FiYiIuIkFAClWDl+PpOYOQnsOJkKwDOtqvByp1p4ebjZuTIRERHnoQAoxcbynacZtWAH6dm5BPt68t4TDWlfJ8zeZYmIiDgdhzytsnbtWrp27Uq5cuUwmUwsWbLEus1sNjNq1Cjq16+Pv78/5cqV46mnnuLUqVP5xqhcuTImkynf16RJk2zciQBkmfN4fckunp+dQHp2LndXKsnyF+9X+BMRESkiDhkAL126RMOGDYmNjb1qW2ZmJgkJCbz++uskJCSwaNEi9u3bR7du3a7ad8KECZw+fdr6NXToUFuUL39z9Pwlenz0G19vPAbAc62rMffZFpQv4WvnykRERJyXQ04Bd+7cmc6dOxe4LTg4mPj4+HzrZsyYQbNmzTh+/DgVK1a0rg8MDCQ8PLxIa5VrSzhn4tUPN3IpJ48Qfy+m9GxIm5qh9i5LRETE6TlkALxVqampmEwmSpQokW/9pEmTmDhxIhUrViQqKophw4bh4XHtb0l2djbZ2dnW5bS0NOCvaWez2VyoNV8Zr7DHLQ6yzHlMWLaX+QfcgTyaVi7JlCfqEx7k4zT9OvPzd4Wz96j+HJ+z96j+7nxsV2YyDMOwdxF3wmQysXjxYrp3717g9qysLO677z5q1arF7NmzreunTJlCkyZNCAkJ4bfffmP06NEMHDiQKVOmXPNY48aNY/z48Vetj4uLw89Ptyi5GcmXYeZ+d05nmjBh0KG8QacIC+4me1cmIiKuIjMzk6ioKFJTUwkKCrJ3OXbh1AHQbDbTo0cPTp48yerVq6/7JH/xxRf861//IiMjA29v7wL3KegMYEREBOfOnSv0HyCz2Ux8fDwdOnTA09OzUMe2lyWJpxj73V4yc/Io5e9Jr4pZxDzR3mn6+ztnfP7+ydl7VH+Oz9l7VH+3Ly0tjdKlS7t0AHTaKWCz2UzPnj05duwYv/zyyw2f4ObNm5Obm8vRo0epWbNmgft4e3sXGA49PT2L7MVXlGPbSmZOLmO/3c38rScBuLdaKSb3qMeWdT87RX/X4+z9gfP3qP4cn7P3qP5ub0xX55QB8Er4O3DgAKtWraJUqVI3fExiYiJubm6EhuoihMK0Pzmd6NkJHDiTgZsJXmxXg5gHq2PJy7V3aSIiIi7LIQNgRkYGBw8etC4fOXKExMREQkJCKFu2LI8//jgJCQksW7aMvLw8kpKSAAgJCcHLy4sNGzawadMm2rZtS2BgIBs2bGDYsGH069ePkiVL2qstp2IYBvO3nGTM0l1kmS2EBnoztXdjWlb7K4xb8uxcoIiIiAtzyAC4ZcsW2rZta10ePnw4AP3792fcuHEsXboUgEaNGuV73KpVq2jTpg3e3t7MnTuXcePGkZ2dTZUqVRg2bJh1HLkzl7Jz+c/inSxJ/Ovm2/ffVZr3ezWidEDB760UERER23LIANimTRuud+3Kja5radKkCRs3bizssgTYcyqNmLgEDp+7hLubieEdajCkdTXc3HSZr4iISHHhkAFQih/DMIj7/Tjjv9tDTq6F8CAfpkc1pmnlEHuXJiIiIv+gACh3LD3LzOhFO1m24zQAbWuW4b2ejQjx97JzZSIiIlIQBUC5I7v+TCU6LoFj5zPxcDPxcqeaPNOqqqZ8RUREijEFQLkthmHw1YZjvPH9XnLyLJQv4cu0Po25u5KuohYRESnuFADllqVeNjNqwQ5W7P7r9jod6oQx+fEGlPDTlK+IiIgjUACUW5J4IoWYuAROXryMp7uJ0Z1rM/C+yphMmvIVERFxFAqAclMMw+Dz9Ud4e8UfmPMMIkJ8mdGnCQ0jSti7NBEREblFCoByQymZOYyYv52f9p4BoHO9cCb1aECwrz5LUURExBEpAMp1bT12gaFx2ziVmoWXuxuvP1ybfi0qacpXRETEgSkASoEsFoNP1x1m8sp95FkMKpfyY0ZUE+qVD7Z3aSIiInKHFADlKuczsnlp/nZW7zsLQNeG5Xjz0XoE+mjKV0RExBkoAEo+vx+5wNA5CSSnZePt4ca4bnXp3TRCU74iIiJORAFQgL+mfD9cfZAp8fuxGFC1jD+xUU2oXTbI3qWJiIhIIVMAFM6mZzP8m0TWHTgHwGONyzOxez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If you intended to share a specific document, you may want to check + the file and try uploading it again."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1656,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":59,"service_tier":"standard","inference_geo":"not_available"}}' headers: CF-RAY: - CF-RAY-XXX Connection: - keep-alive + Content-Security-Policy: + - CSP-FILTERED Content-Type: - application/json Date: - - Fri, 23 Jan 2026 19:08:19 GMT + - Thu, 12 Feb 2026 19:29:25 GMT Server: - cloudflare Transfer-Encoding: @@ -90,7 +86,7 @@ interactions: anthropic-ratelimit-requests-remaining: - '3999' anthropic-ratelimit-requests-reset: - - '2026-01-23T19:08:16Z' + - '2026-02-12T19:29:23Z' anthropic-ratelimit-tokens-limit: - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX anthropic-ratelimit-tokens-remaining: @@ -104,7 +100,111 @@ interactions: strict-transport-security: - STS-XXX x-envoy-upstream-service-time: - - '3114' + - '2072' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":[{"type":"text","text":"\nCurrent + Task: What is this document?\n\nProvide your complete response:"},{"type":"document","source":{"type":"base64","media_type":"application/pdf","data":"JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="},"cache_control":{"type":"ephemeral"}}]}],"model":"claude-3-5-haiku-20241022","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '942' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_011J2La8KpjxAK255NsSpePY","type":"message","role":"assistant","content":[{"type":"text","text":"I + apologize, but the document appears to be a blank white page. No text, images, + or discernible content is visible in this PDF file. Without any readable information, + I cannot determine the type or purpose of this document."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1656,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":51,"service_tier":"standard","inference_geo":"not_available"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:29:27 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2026-02-12T19:29:26Z' + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '1802' status: code: 200 message: OK diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_pdf_openai_responses.yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_pdf_openai_responses.yaml index 5230fa314..cffd1bac2 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_pdf_openai_responses.yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_pdf_openai_responses.yaml @@ -1,14 +1,9 @@ interactions: - request: body: '{"input":[{"role":"user","content":[{"type":"input_text","text":"\nCurrent - Task: What is this document?\n\nBegin! This is VERY important to you, use the - tools available and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"gpt-4o-mini","instructions":"You + Task: What is this document?\n\nProvide your complete response:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"gpt-4o-mini","instructions":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal - is: Analyze and describe files accurately\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"}' + is: Analyze and describe files accurately"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -21,7 +16,7 @@ interactions: connection: - keep-alive content-length: - - '1235' + - '834' content-type: - application/json host: @@ -43,47 +38,37 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/responses response: body: - string: "{\n \"id\": \"resp_059d23bc71d450aa006973c72416788197bddcc99157e3a313\",\n - \ \"object\": \"response\",\n \"created_at\": 1769195300,\n \"status\": + string: "{\n \"id\": \"resp_0751868929a7aa7500698e2a23d5508194b8e4092ff79a8f41\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924579,\n \"status\": \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": - \"developer\"\n },\n \"completed_at\": 1769195307,\n \"error\": null,\n + \"developer\"\n },\n \"completed_at\": 1770924581,\n \"error\": null,\n \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": \"You are File Analyst. Expert at analyzing various file types.\\nYour personal - goal is: Analyze and describe files accurately\\nTo give my best complete - final answer to the task respond using the exact following format:\\n\\nThought: - I now can give a great answer\\nFinal Answer: Your final answer must be the - great and the most complete as possible, it must be outcome described.\\n\\nI - MUST use these formats, my job depends on it!\",\n \"max_output_tokens\": + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": null,\n \"max_tool_calls\": null,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n - \ \"output\": [\n {\n \"id\": \"msg_059d23bc71d450aa006973c724b1d881979787b0eeb53bdbd2\",\n + \ \"output\": [\n {\n \"id\": \"msg_0751868929a7aa7500698e2a2474208194a7ea7e8d1179c3fa\",\n \ \"type\": \"message\",\n \"status\": \"completed\",\n \"content\": [\n {\n \"type\": \"output_text\",\n \"annotations\": - [],\n \"logprobs\": [],\n \"text\": \"Thought: I now can - give a great answer. \\nFinal Answer: Without access to a specific document - or its contents, I cannot provide a detailed analysis. However, in general, - important aspects of a document can include its format (such as PDF, DOCX, - or TXT), purpose (such as legal, informative, or persuasive), and key elements - like headings, text structure, and any embedded media (such as images or charts). - For a thorough analysis, it's essential to understand the context, audience, - and intended use of the document. If you can provide the document itself or - more context about it, I would be able to give a complete assessment.\"\n - \ }\n ],\n \"role\": \"assistant\"\n }\n ],\n \"parallel_tool_calls\": - true,\n \"presence_penalty\": 0.0,\n \"previous_response_id\": null,\n \"prompt_cache_key\": - null,\n \"prompt_cache_retention\": null,\n \"reasoning\": {\n \"effort\": - null,\n \"summary\": null\n },\n \"safety_identifier\": null,\n \"service_tier\": - \"default\",\n \"store\": true,\n \"temperature\": 1.0,\n \"text\": {\n - \ \"format\": {\n \"type\": \"text\"\n },\n \"verbosity\": \"medium\"\n - \ },\n \"tool_choice\": \"auto\",\n \"tools\": [],\n \"top_logprobs\": - 0,\n \"top_p\": 1.0,\n \"truncation\": \"disabled\",\n \"usage\": {\n \"input_tokens\": - 137,\n \"input_tokens_details\": {\n \"cached_tokens\": 0\n },\n - \ \"output_tokens\": 132,\n \"output_tokens_details\": {\n \"reasoning_tokens\": - 0\n },\n \"total_tokens\": 269\n },\n \"user\": null,\n \"metadata\": - {}\n}" + [],\n \"logprobs\": [],\n \"text\": \"It seems that you + have not uploaded any document or file for analysis. Please provide the file + you'd like me to review, and I'll be happy to help you with the analysis and + description.\"\n }\n ],\n \"role\": \"assistant\"\n }\n + \ ],\n \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n \"previous_response_id\": + null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": null,\n + \ \"reasoning\": {\n \"effort\": null,\n \"summary\": null\n },\n \"safety_identifier\": + null,\n \"service_tier\": \"default\",\n \"store\": true,\n \"temperature\": + 1.0,\n \"text\": {\n \"format\": {\n \"type\": \"text\"\n },\n + \ \"verbosity\": \"medium\"\n },\n \"tool_choice\": \"auto\",\n \"tools\": + [],\n \"top_logprobs\": 0,\n \"top_p\": 1.0,\n \"truncation\": \"disabled\",\n + \ \"usage\": {\n \"input_tokens\": 51,\n \"input_tokens_details\": {\n + \ \"cached_tokens\": 0\n },\n \"output_tokens\": 38,\n \"output_tokens_details\": + {\n \"reasoning_tokens\": 0\n },\n \"total_tokens\": 89\n },\n + \ \"user\": null,\n \"metadata\": {}\n}" headers: CF-RAY: - CF-RAY-XXX @@ -92,11 +77,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 23 Jan 2026 19:08:27 GMT + - Thu, 12 Feb 2026 19:29:41 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -110,13 +93,132 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '7347' + - '1581' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '7350' + set-cookie: + - SET-COOKIE-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"input":[{"role":"user","content":[{"type":"input_text","text":"\nCurrent + Task: What is this document?\n\nProvide your complete response:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"gpt-4o-mini","instructions":"You + are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '834' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/responses + response: + body: + string: "{\n \"id\": \"resp_0c3ca22d310deec300698e2a25842881929a9aad25ea18eb77\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924581,\n \"status\": + \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": + \"developer\"\n },\n \"completed_at\": 1770924582,\n \"error\": null,\n + \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": + \"You are File Analyst. Expert at analyzing various file types.\\nYour personal + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": + null,\n \"max_tool_calls\": null,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"output\": [\n {\n \"id\": \"msg_0c3ca22d310deec300698e2a26058081929351f3632bd1aa8e\",\n + \ \"type\": \"message\",\n \"status\": \"completed\",\n \"content\": + [\n {\n \"type\": \"output_text\",\n \"annotations\": + [],\n \"logprobs\": [],\n \"text\": \"Please upload the + document you would like me to analyze, and I'll provide you with a detailed + description and analysis of its contents.\"\n }\n ],\n \"role\": + \"assistant\"\n }\n ],\n \"parallel_tool_calls\": true,\n \"presence_penalty\": + 0.0,\n \"previous_response_id\": null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": + null,\n \"reasoning\": {\n \"effort\": null,\n \"summary\": null\n + \ },\n \"safety_identifier\": null,\n \"service_tier\": \"default\",\n \"store\": + true,\n \"temperature\": 1.0,\n \"text\": {\n \"format\": {\n \"type\": + \"text\"\n },\n \"verbosity\": \"medium\"\n },\n \"tool_choice\": + \"auto\",\n \"tools\": [],\n \"top_logprobs\": 0,\n \"top_p\": 1.0,\n \"truncation\": + \"disabled\",\n \"usage\": {\n \"input_tokens\": 51,\n \"input_tokens_details\": + {\n \"cached_tokens\": 0\n },\n \"output_tokens\": 26,\n \"output_tokens_details\": + {\n \"reasoning_tokens\": 0\n },\n \"total_tokens\": 77\n },\n + \ \"user\": null,\n \"metadata\": {}\n}" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:29:42 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '870' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-ratelimit-limit-requests: - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_text_gemini.yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_text_gemini.yaml index 1ba70fc35..ca81ea55f 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_text_gemini.yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_text_gemini.yaml @@ -1,16 +1,11 @@ interactions: - request: - body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Summarize this text.\n\nBegin! - This is VERY important to you, use the tools available and give your best Final - Answer, your job depends on it!\n\nThought:"}, {"inlineData": {"data": "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", + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Summarize this text.\n\nProvide + your complete response:"}, {"inlineData": {"data": "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", "mimeType": "text/plain"}}], "role": "user"}], "systemInstruction": {"parts": [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour - personal goal is: Analyze and describe files accurately\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}], "role": "user"}, "generationConfig": - {"stopSequences": ["\nObservation:"]}}' + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -21,13 +16,13 @@ interactions: connection: - keep-alive content-length: - - '1619' + - '1218' content-type: - application/json host: - generativelanguage.googleapis.com x-goog-api-client: - - google-genai-sdk/1.49.0 gl-python/3.12.10 + - google-genai-sdk/1.49.0 gl-python/3.13.3 x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST @@ -35,34 +30,101 @@ interactions: response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"Thought: This text provides guidelines - for giving effective feedback. 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In essence, feedback should + be easily understood, objective, and geared towards improvement.\\n\"\n }\n + \ ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"avgLogprobs\": -0.24900928895864913\n }\n ],\n \"usageMetadata\": + {\n \"promptTokenCount\": 163,\n \"candidatesTokenCount\": 67,\n \"totalTokenCount\": + 230,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 163\n }\n ],\n \"candidatesTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 67\n \ }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n \"responseId\": - \"88lzae_VGaGOjMcPxNCokQI\"\n}\n" + \"SDSOaae8LLzRjMcPptjXkQ4\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 23 Jan 2026 19:20:20 GMT + - Thu, 12 Feb 2026 20:12:58 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=1200 + - gfet4t7; dur=1742 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Summarize this text.\n\nProvide + your complete response:"}, {"inlineData": {"data": "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", + "mimeType": "text/plain"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '1218' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"The text provides guidelines for writing + effective feedback. Key recommendations include being clear, concise, specific, + and respectful. Feedback should focus on behavior and outcomes, balance positive + and negative aspects, use objective criteria, and suggest actionable next + steps. Proofreading is essential before submitting feedback.\\n\"\n }\n + \ ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"avgLogprobs\": -0.29874773892489348\n }\n ],\n \"usageMetadata\": + {\n \"promptTokenCount\": 163,\n \"candidatesTokenCount\": 55,\n \"totalTokenCount\": + 218,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 163\n }\n ],\n \"candidatesTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 55\n + \ }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n \"responseId\": + \"SjSOab3-HaajjMcP38-yyQw\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 20:12:59 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1198 Transfer-Encoding: - chunked Vary: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_video_gemini.yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_video_gemini.yaml index f3510f9c6..78a1b6b47 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_video_gemini.yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalFileTypes.test_video_gemini.yaml @@ -1,16 +1,11 @@ interactions: - request: - body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Describe this video.\n\nBegin! - This is VERY important to you, use the tools available and give your best Final - Answer, your job depends on it!\n\nThought:"}, {"inlineData": {"data": 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PJlMCG__-p4QAAGHc69KnsHkU3_sdlY4M-a8eB48gBPgUDoWXdHyAeK7Z5CckIJol-vGY2cwPWQAAADxBmlBJ4Q8mUwURPDP__p4QAAF_4TnWqFJYRKN7UKydF-P118GyR7vNgsykiIVZ_whhSOUvl2jqeP6l4TMAAAAvAZ5vakK_AAEqVSGnRRSqAF2-a9WNqJHD4kNfhoFHm0rvXJyzIrRtZVGR_L-yJmAAAAAwQZpxSeEPJlMCGf_-nhAAAXOthWR96FmJZMUE9xyiaL6PYOjnXgQbJQ-0OwhR-4yoAAAANUGakknhDyZTAhv__qeEAABf-E81KirnOETvkozN2K4mxx_s8wC_ovjIBuVdaKOUcphiXB6RAAAAM0GatEnhDyZTBRE8M__-nhAAAWqu7RY8xzhmPRWFpVTbLXv6TL-UU0xFC9Hp-W7NldgSsAAAACgBntNqQr8AASpVIZ44ZVjYuNihvugKbWvQmjdXxErS-MGHMDdCBwHpAAAAN0Ga1UnhDyZTAhv__qeEAABdABiHSp7B-G6CQgJmULgNHICf_pSiW5_C4aGpAb36eRQfXbMkb0EAAAA8QZr3SeEPJlMFETwz__6eEAABbOZc61LBLCI_bahWTo6I2PI9CganJJEnhCWzdBl6CJsvYsN-cd8O8KGAAAAAKwGfFmpCvwABKlUhnkUUWwFznsDVK6JPvXJrFQY1z36WlNIG9H1ixsBYg-cAAAAvQZsYSeEPJlMCGf_-nhAAAWGthWPLwWY9FYWlVNste_pMv5RTTEUL0eNO6QPYEzEAAABIQZs5SeEPJlMCG__-p4QAAFs5l2rI3jMvmEQAggw1RuXxgIW_asbkXsRFJ7tHH3BOkQ7-WjCmUsw9vKcYz94b7qaLdp8-JHHAAAAANkGbW0nhDyZTBRE8M__-nhAAAViu7RY-YY1BPUVFKAyWv7FgHVuVh8ecmax7gNJFfBSa_1-D_QAAACgBn3pqQr8AASpVIZU4ZVjYuNihvugKbWvQmjdXxErS-MGHMDdCBwH-AAAANEGbfEnhDyZTAhv__qeEAABYgBiHSp7B-G6CQgJmDFNvc78e6iaC9ubCNOGo7x9-oeZI6YEAAAA5QZueSeEPJlMFETwz__6eEAABWuZc61DksIid2oVkxNEbHkehQNTkkiTwhLZugyvn7UvmL8otMIQdAAAAKwGfvWpCvwABKlUhlUUUWwFznsDVK6JPvXJrFQY1z36WlNIG9H1ixsBYhBwAAAA2QZu_SeEPJlMCGf_-nhAAAU-t7Fj7VOAsx6KwtKqbZa9_SZfyimmIoXo8-lAOh1UKsvyJiEHAAAAAOkGbwEnhDyZTAhv__qeEAABWuZdqyN41DSjX33rYP3PwUbMHUj1GaXJmcCxaQl3M8UOoH8Vwb52Swh8AAAAzQZviSeEPJlMFETwz__6eEAABRq7tFj5hjUE9RUUoDJa_sWAdW5WHx5yZrHuA0Y4Pr8IeAAAAJwGeAWpCvwABKlUhjPQkm4q-jy_0K8B_SF8Q4F-nLAdIdq2F5ZApoQAAADdBmgNJ4Q8mUwIb__6nhAAAU_Dr0qeweRTf-x2Vj94hh4IgAqDTes7pbmsImm7-hR4DIhgLaSPSAAAAPkGaJUnhDyZTBRE8M__-nhAAAUjmXPE62klig45wsIZVrFqG2fFpBmyipexC2Y02Caol-0XlBYroNFJ5RCLhAAAAKwGeRGpCvwABKlUhjNcUWwFznsDVK6JPvXJrFQY1z36WlNIG9H1ixsBYhF0AAAAvQZpGSeEPJlMCGf_-nhAAAT2thWPLwWY9FYWlVNste_pMv5RTTEUL0eNO6QPYFVEAAAA9QZpnSeEPJlMCG__-p4QAAFGxApSp7B5IZf-x2Vj94hh4IgAqDTes7pbmsImm7-o30WLTBIGNXbenlaQYEQAAADZBmolJ4Q8mUwURPDP__p4QAAE_5lzvnjVppjrYWELZoSJb4EGdOlpVpVCAd83rD8D4KmV4XEAAAAApAZ6oakK_AAEqVSGI1xRa-ilDtjrCXiOnbioxGiSry_EiYUWdi2a5FxAAAAAvQZqqSeEPJlMCGf_-nhAAATUPVfYeZ1fcpg6oIp1RNF9HsHRzrwINkoZjY1dwK-EAAAA5QZrLSeEPJlMCG__-p4QAAE_5l2CWlGxI7Qv9URgQ8Z2bl3opFBzWsfPmkYmfyJpp1Nr7U_rwwCEnAAAAOkGa7UnhDyZTBRE8M__-nhAAAS0QePJAA0IWKAYcvUDmdqNK_tEdSbcla-mi00EyrbhTjTOPb3KSsakAAAAoAZ8MakK_AAEqVSGAymVY2LjYob7oCm1r0Jo3V8RK0vjBhzA3QgcCTwAAADVBmw5J4Q8mUwIb__6nhAAATVL0h0qeweOGXzmwv3hefaimFvnqTtMn2HSj-87KV2QLGeBBwQAAADtBmzBJ4Q8mUwURPDP__p4QAAEu6b0BVHbWWdBGwHUXcfuMX1lLSAJkgzztHdty4eDNZzkvYGYA_-tEHQAAAC4Bn09qQr8AASpVIYDXQKrE8TK1oSv6cjDVX5BQ5Tz87qfv645wRKec9b5M-GDAAAAAMEGbUUnhDyZTAhn__p4QAAElD1X2HmdX3KYOqCKdUTRfR7B0c68CDZKH2h2EHU3HzAAAAEJBm3JJ4Q8mUwIb__6nhAAAS7pvYJaUbEjtC_1REjmDOzWlH0vriihLwS7_Wg6WqjSHH-dtmW0P-yXmCMKpBj04ekEAAAA6QZuUSeEPJlMFETwz__6eEAABHRB48kADxqVeS9hqpWdqNK_tEdSbcla-mi00EyrbhTjTOPb3KSsb0AAAACoBn7NqQr8AASpVIXj0JJ94OTwUxP4VuIP7MktUYvsrwaEqAoGI1sowLyAAAABCQZu1SeEPJlMCG__-p4QAAElHZ9BurzyP93oBj26WaMeFpmb0JH1IzjvtOv2x1rFhY4cPfgBVh-oL6pG7LpKwkwoJAAAAO0Gb10nhDyZTBRE8M__-nhAAAR7pvPE62klg-EeWELbziOsDOskW1Tbbi7mxuf_jai4Lu0zDh7swhCggAAAALwGf9mpCvwABKlUheNdAqsTxMrUdWx6pBM5Hxqfe0lacHrghNRVgiXLG2PNzaIuBAAAAMEGb-EnhDyZTAhn__p4QAAEVQ_NVkfehUo1maTYLCNjPxoY3kDU45UZUpKQhhTcg4QAAADVBmhlJ4Q8mUwIb__6nhAAAR7pvarYTPBtCeLQMzdiuJscf7PMAv6L4yAbdA_5H9p1ns-BLwAAAADNBmjtJ4Q8mUwURPDP__p4QAAENEHjPWHA4Zj0VhaVU2y17-ky_lFNMRQvR6fluzZXYGNEAAAAoAZ5aakK_AAEqVSFyQdWeILjYob7oCm1r0Jo3V8RK0vjBhzA3QgcCkgAAADZBmlxJ4Q8mUwIb__6nhAAARUdoCRuweRTf-x2Vj94hh4IgAqDTes7pbmsImm7-hNopfCRYVMEAAAA6QZp-SeEPJlMFETwz__6eEAABDum861QpLCJRvahWTo6I2PI9CganJJEnhCWzdBlfP2pfMX5T8mEKmQAAADwBnp1qQr8AASpVIXJKuFVKwAeWWbQj-8jtvv9MpHyquee8iHvdIhZNxj8iybbAqCNeVAh4gQHhkljdkasAAAAxQZqfSeEPJlMCGf_-nhAAAQUPVfWGUWY9FYWlVNste_pMv5RTTEUL0eNZuy-Rn6yQcAAAAEhBmqBJ4Q8mUwIb__6nhAAAQ7pvasjeMy-YRACCDDVG5fGAhb9qxuRexEUnu0cfcE6RDv5aMKZSzD28tx5G29w18UBikvPiSXkAAAAxQZrCSeEPJlMFETwz__6eEAAA_XqV-tIwxqCeoqKUBktf2LAOrcrD485M1j2915rHpAAAACcBnuFqQr8AASpVIWzeLHcmlUVTqfXgP6QviHAv05YDpDtWwvLIGhEAAAA3QZrjSeEPJlMCG__-p4QAAEFHaAkbsHkU3_sdlLxaQxZQLUKFK1ZTsoWI9as3_Qo8BkQwFtJJuAAAAD1BmwVJ4Q8mUwURPDP__p4QAAD-8JzxOtpJYoOOcLCGVazEKFmMA_Dsn8b9-J7xc_JTjTorlCvyWpNS8N-BAAAALwGfJGpCvwABKlUhbMrOVWJ4mVqOrY9Ugmcj41PvaStOD1wQmoqwRLdoXwkuMjfhAAAAMUGbJknhDyZTAhn__p4QAAD3-f_rSMMagnqKilAZLX9iwDq3Kw-POTNY0waMcH1-FlEAAAA5QZtHSeEPJlMCG__-p4QAAD9grrAj0EXObofRYsfvEMPBEAFQab1ndLc1hE03f0JwDkwK590MZ8h5AAAAQEGbaUnhDyZTBRE8M__-nhAAAPlwnPE6rUlig37gsIZVrFqG2fFpBmyipexC2Y02Caol-0XlBXt3fPAxSpIIipgAAAAvAZ-IakK_AAEqVSFqCs5VYniZWo6tj1SCZyPjU-9pK04PXBCairBEt2hdThf4csAAAAAxQZuKSeEPJlMCGf_-nhAAAPJ5w61u9CzEsmKCe45RNF9HsHRzrwINkoZjY4gMSqm5LwAAADlBm6tJ4Q8mUwIb__6nhAAAPlwnk2gE8_jtC_1RGBDxnZuXeikUHNax8-aRiZ_ImmnU2vtT-vDAIXcAAAA6QZvNSeEPJlMFETwz__6eEAAA7PqWEPAB-AzAAw5eoHM7UaV_aI6k25K19NFpoJlW3CnGmce3uUlZBwAAACgBn-xqQr8AASpVIWSGhHX8XGxQ33QFNrXoTRur4iVpfGDDmBuhA4F3AAAAO0Gb7knhDyZTAhv__qeEAAA8qPFEJG7B44ZfObC_eF59qKYW-epO0yfYdKP7zspXZanNUgjxFms-IJFxAAAAOkGaEEnhDyZTBRE8M__-nhAAAO5wnOtQ5LCIndqFWuT5UM1-_WI2M1FjlMsWzDGyD5O76HkV3TgEMCEAAAArAZ4vakK_AAEqVSFkjfgtgLnPYGqV0Sf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+ body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Describe this video.\n\nProvide + your complete response:"}, {"inlineData": {"data": 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"mimeType": "video/mp4"}}], "role": "user"}], "systemInstruction": {"parts": [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour - personal goal is: Analyze and describe files accurately\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}], "role": "user"}, "generationConfig": - {"stopSequences": ["\nObservation:"]}}' + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -21,13 +16,13 @@ interactions: connection: - keep-alive content-length: - - '14198' + - '13797' content-type: - application/json host: - generativelanguage.googleapis.com x-goog-api-client: - - google-genai-sdk/1.49.0 gl-python/3.12.10 + - google-genai-sdk/1.49.0 gl-python/3.13.3 x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST @@ -35,32 +30,97 @@ interactions: response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"Thought:The video shows a white square - moving from the left side to the center and then to the right side of a blue - background.\\n\\nFinal Answer:The video depicts a white square in motion. - Starting from the left side of the frame, the square moves towards the center, - pauses briefly, and then continues its movement to the right side of the frame. - The background is a solid, bright blue color. The square's movement is smooth - and linear.\\n\"\n }\n ],\n \"role\": \"model\"\n },\n - \ \"finishReason\": \"STOP\",\n \"avgLogprobs\": -0.30347943049605175\n - \ }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": 1416,\n \"candidatesTokenCount\": - 93,\n \"totalTokenCount\": 1509,\n \"promptTokensDetails\": [\n {\n - \ \"modality\": \"VIDEO\",\n \"tokenCount\": 1290\n },\n - \ {\n \"modality\": \"TEXT\",\n \"tokenCount\": 126\n }\n - \ ],\n \"candidatesTokensDetails\": [\n {\n \"modality\": - \"TEXT\",\n \"tokenCount\": 93\n }\n ]\n },\n \"modelVersion\": - \"gemini-2.0-flash\",\n \"responseId\": \"7slzaf7uNbHkjMcPovCiwQ4\"\n}\n" + [\n {\n \"text\": \"The video is a simple animation. A + white square moves from the left side of the screen to the center, then to + the right side, against a blue background. The movement is linear and smooth.\\n\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"avgLogprobs\": -0.35358294045052879\n }\n ],\n \"usageMetadata\": + {\n \"promptTokenCount\": 1327,\n \"candidatesTokenCount\": 41,\n \"totalTokenCount\": + 1368,\n \"promptTokensDetails\": [\n {\n \"modality\": \"VIDEO\",\n + \ \"tokenCount\": 1290\n },\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 37\n }\n ],\n \"candidatesTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 41\n + \ }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n \"responseId\": + \"tTKOacnvBICbjMcPr_iviQE\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 23 Jan 2026 19:20:17 GMT + - Thu, 12 Feb 2026 20:06:18 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=2971 + - gfet4t7; dur=5984 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Describe this video.\n\nProvide + your complete response:"}, {"inlineData": {"data": 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+ "mimeType": "video/mp4"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '13797' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"The video shows a white square moving + from the left side of the screen to the center, and then to the right, against + a blue background.\\n\"\n }\n ],\n \"role\": \"model\"\n + \ },\n \"finishReason\": \"STOP\",\n \"avgLogprobs\": -0.2401906967163086\n + \ }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": 1327,\n \"candidatesTokenCount\": + 30,\n \"totalTokenCount\": 1357,\n \"promptTokensDetails\": [\n {\n + \ \"modality\": \"TEXT\",\n \"tokenCount\": 37\n },\n {\n + \ \"modality\": \"VIDEO\",\n \"tokenCount\": 1290\n }\n + \ ],\n \"candidatesTokensDetails\": [\n {\n \"modality\": + \"TEXT\",\n \"tokenCount\": 30\n }\n ]\n },\n \"modelVersion\": + \"gemini-2.0-flash\",\n \"responseId\": \"uzKOacfwBNuL-sAPtNf9gAw\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 20:06:21 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=2929 Transfer-Encoding: - chunked Vary: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_audio_file[gemini-gemini-2.0-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_audio_file[gemini-gemini-2.0-flash].yaml index cf98f25b8..8817206ef 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_audio_file[gemini-gemini-2.0-flash].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_audio_file[gemini-gemini-2.0-flash].yaml @@ -1,17 +1,11 @@ interactions: - request: body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What do you hear in - this audio?\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"}, {"inlineData": - {"data": 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+ this audio?\n\nProvide your complete response:"}, {"inlineData": {"data": 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"mimeType": "audio/x-wav"}}], "role": "user"}], "systemInstruction": {"parts": [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour - personal goal is: Analyze and describe files accurately\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}], "role": "user"}, "generationConfig": - {"stopSequences": ["\nObservation:"]}}' + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,13 +16,13 @@ interactions: connection: - keep-alive content-length: - - '22235' + - '21834' content-type: - application/json host: - generativelanguage.googleapis.com x-goog-api-client: - - google-genai-sdk/1.49.0 gl-python/3.12.10 + - google-genai-sdk/1.49.0 gl-python/3.13.3 x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST @@ -36,27 +30,94 @@ interactions: response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"I am sorry, I am unable to process - audio files at this time.\\n\"\n }\n ],\n \"role\": + [\n {\n \"text\": \"Based on the provided audio, I hear + the sound of a telephone ringing.\\n\"\n }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": \"STOP\",\n \"avgLogprobs\": - -0.15487506985664368\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": - 155,\n \"candidatesTokenCount\": 16,\n \"totalTokenCount\": 171,\n \"promptTokensDetails\": - [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 130\n + -0.26358166337013245\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 66,\n \"candidatesTokenCount\": 16,\n \"totalTokenCount\": 82,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 41\n \ },\n {\n \"modality\": \"AUDIO\",\n \"tokenCount\": 25\n }\n ],\n \"candidatesTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 16\n }\n ]\n },\n \"modelVersion\": - \"gemini-2.0-flash\",\n \"responseId\": \"98lzaabuJZu0jMcPp9zbyQ4\"\n}\n" + \"gemini-2.0-flash\",\n \"responseId\": \"kyqOaf7iGNWJ-sAPh-fEmQ4\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 23 Jan 2026 19:20:24 GMT + - Thu, 12 Feb 2026 19:31:33 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=968 + - gfet4t7; dur=1765 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What do you hear in + this audio?\n\nProvide your complete response:"}, {"inlineData": {"data": 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idezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__yAAABDXkYDSG3Je0lpiFkGSIONAEj9Hjold-H2ujZyt235cDwl_22CpEWwh8xJTomviImG1kQnQN09mvq8OAh267Zw9wD5JLuMPtgCJMUVx6EJGEmsyPNHH8SAQbP-HXsauLg25rZ4Ntq4nXsz_gBBn8SzRyzI2EmhCRXHpMUYAgw-5LuA-TD3K7ZIdvw4GvqdPadA1kQJhu-IjomMSXCH5EWtgqX_cDwt-XK3ejZh9qV33joI_Q0ASIOZBmmIe0ltyUNIXkYAQ0AAP_yh-fz3knaE9pa3pzm3vHM_t0LiBdrIHklGCY2IkkaQA9pAkr1b-k-4M_axtlC3drkp-9j_IwJlRUQH98kUiY9I_0bbhHQBKD3beup4Xzbn9lN3DPjge3_-TEHixOWHSAkZiYgJJYdixMxB__5ge0z403cn9l826nhbeug99AEbhH9Gz0jUibfJBAflRWMCWP8p-_a5ELdxtnP2j7gb-lK9WkCQA9JGjYiGCZ5JWsgiBfdC8z-3vGc5lreE9pJ2vPeh-f_8gAAAQ15GA0htyXtJaYhZBkiDjQBI_R46JXfh9ro2crdt-XA8Jf9tgqRFsIfMSU6Jr4iJhtZEJ0DdPZr6vDgIduu2cPcA-SS7jD7YAiTFFcehCRhJrMjzRx_EgEGz_h17Gri4Nua2eDbauJ17M_4AQZ_Es0csyNhJoQkVx6TFGAIMPuS7gPkw9yu2SHb8OBr6nT2nQNZECYbviI6JjElwh-RFrYKl_3A8Lflyt3o2Yfald946CP0NAEiDmQZpiHtJbclDSF5GAENAAD_8ofn895J2hPaWt6c5t7xzP7dC4gXayB5JRgmNiJJGkAPaQJK9W_pPuDP2sbZQt3a5KfvY_yMCZUVEB_fJFImPSP9G24R0ASg923rqeF825_ZTdwz44Ht__kxB4sTlh0gJGYmICSWHYsTMQf_-YHtM-NN3J_ZfNup4W3roPfQBG4R_Rs9I1Im3yQQH5UVjAlj_Kfv2uRC3cbZz9o-4G_pSvVpAkAPSRo2IhgmeSVrIIgX3QvM_t7xnOZa3hPaSdrz3ofn__IAAAENeRgNIbcl7SWmIWQZIg40ASP0eOiV34fa6NnK3bflwPCX_bYKkRbCHzElOia-IiYbWRCdA3T2a-rw4CHbrtnD3APkku4w-2AIkxRXHoQkYSazI80cfxIBBs_4dexq4uDbmtng22ridezP-AEGfxLNHLMjYSaEJFcekxRgCDD7ku4D5MPcrtkh2_Dga-p09p0DWRAmG74iOiYxJcIfkRa2Cpf9wPC35crd6NmH2pXfeOgj9DQBIg5kGaYh7SW3JQ0heRgBDQAA__KH5_PeSdoT2lrenObe8cz-3QuIF2sgeSUYJjYiSRpAD2kCSvVv6T7gz9rG2ULd2uSn72P8jAmVFRAf3yRSJj0j_RtuEdAEoPdt66nhfNuf2U3cM-OB7f_5MQeLE5YdICRmJiAklh2LEzEH__mB7TPjTdyf2XzbqeFt66D30ARuEf0bPSNSJt8kEB-VFYwJY_yn79rkQt3G2c_aPuBv6Ur1aQJAD0kaNiIYJnklayCIF90LzP7e8ZzmWt4T2kna896H5__y", + "mimeType": "audio/x-wav"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '21834' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"Based on the provided audio, I hear + the distinct sound of a dial tone.\\n\"\n }\n ],\n \"role\": + \"model\"\n },\n \"finishReason\": \"STOP\",\n \"avgLogprobs\": + -0.082689825226278865\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 66,\n \"candidatesTokenCount\": 17,\n \"totalTokenCount\": 83,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"AUDIO\",\n \"tokenCount\": 25\n + \ },\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": + 41\n }\n ],\n \"candidatesTokensDetails\": [\n {\n \"modality\": + \"TEXT\",\n \"tokenCount\": 17\n }\n ]\n },\n \"modelVersion\": + \"gemini-2.0-flash\",\n \"responseId\": \"lSqOad_xC8XQjMcP9YfmuAQ\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 19:31:35 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=2323 Transfer-Encoding: - chunked Vary: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_audio_file[gemini-gemini-2.5-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_audio_file[gemini-gemini-2.5-flash].yaml new file mode 100644 index 000000000..a175d29ee --- /dev/null +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_audio_file[gemini-gemini-2.5-flash].yaml @@ -0,0 +1,132 @@ +interactions: +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What do you hear in + this audio?\n\nProvide your complete response:"}, {"inlineData": {"data": 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", + "mimeType": "audio/x-wav"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '21834' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"I hear a **phone ringing**.\"\n }\n + \ ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 76,\n \"candidatesTokenCount\": 7,\n \"totalTokenCount\": 137,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 43\n + \ },\n {\n \"modality\": \"AUDIO\",\n \"tokenCount\": + 33\n }\n ],\n \"thoughtsTokenCount\": 54\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"O0qOafWMFb-U_uMPmq2sAQ\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 21:46:35 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1813 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What do you hear in + this audio?\n\nProvide your complete response:"}, {"inlineData": {"data": 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", + "mimeType": "audio/x-wav"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '21834' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"The audio contains a **telephone dial + tone**.\"\n }\n ],\n \"role\": \"model\"\n },\n + \ \"finishReason\": \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": + {\n \"promptTokenCount\": 76,\n \"candidatesTokenCount\": 9,\n \"totalTokenCount\": + 126,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 43\n },\n {\n \"modality\": \"AUDIO\",\n + \ \"tokenCount\": 33\n }\n ],\n \"thoughtsTokenCount\": 41\n + \ },\n \"modelVersion\": \"gemini-2.5-flash\",\n \"responseId\": \"PEqOafTwO_yT_uMP6d_hqAI\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 21:46:37 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1615 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_image_file[gemini-gemini-2.0-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_image_file[gemini-gemini-2.0-flash].yaml index 5440bfc73..3e579bdb0 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_image_file[gemini-gemini-2.0-flash].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_image_file[gemini-gemini-2.0-flash].yaml @@ -1,17 +1,11 @@ interactions: - request: body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Describe this image - briefly.\n\nBegin! This is VERY important to you, use the tools available and - give your best Final Answer, your job depends on it!\n\nThought:"}, {"inlineData": - {"data": 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", + briefly.\n\nProvide your complete response:"}, {"inlineData": {"data": 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Expert at analyzing various file types.\nYour - personal goal is: Analyze and describe files accurately\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}], "role": "user"}, "generationConfig": - {"stopSequences": ["\nObservation:"]}}' + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,13 +16,13 @@ interactions: connection: - keep-alive content-length: - - '37838' + - '37437' content-type: - application/json host: - generativelanguage.googleapis.com x-goog-api-client: - - google-genai-sdk/1.49.0 gl-python/3.12.10 + - google-genai-sdk/1.49.0 gl-python/3.13.3 x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST @@ -36,34 +30,101 @@ interactions: response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"Thought:The image is a line graph - titled \\\"Revenue Over Time.\\\" The x-axis represents the year, ranging - from 2020 to 2024. The y-axis represents the revenue in millions of dollars, - ranging from 100 to 300. A single, upward-sloping line shows a linear increase - in revenue from 2020 to 2024. The graph has a grid background.\\n\\nFinal - Answer:The image is a line graph depicting \\\"Revenue Over Time\\\" from - 2020 to 2024. The graph shows a linear increase in revenue, starting at approximately - $100 million in 2020 and reaching $300 million in 2024.\\n\"\n }\n - \ ],\n \"role\": \"model\"\n },\n \"finishReason\": - \"STOP\",\n \"avgLogprobs\": -0.14270273054608648\n }\n ],\n \"usageMetadata\": - {\n \"promptTokenCount\": 1417,\n \"candidatesTokenCount\": 161,\n \"totalTokenCount\": - 1578,\n \"promptTokensDetails\": [\n {\n \"modality\": \"IMAGE\",\n - \ \"tokenCount\": 1290\n },\n {\n \"modality\": \"TEXT\",\n - \ \"tokenCount\": 127\n }\n ],\n \"candidatesTokensDetails\": - [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 161\n + [\n {\n \"text\": \"The image is a line graph titled \\\"Revenue + Over Time\\\". The x-axis represents the year, ranging from 2020 to 2024. + The y-axis represents revenue in millions of dollars, ranging from 100 to + 300. 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- - gfet4t7; dur=1887 + - gfet4t7; dur=1863 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Describe this image + briefly.\n\nProvide your complete response:"}, {"inlineData": {"data": 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+ "mimeType": "image/png"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '37437' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"The image is a line graph titled \\\"Revenue + Over Time\\\". The x-axis represents the year from 2020 to 2024, and the y-axis + represents revenue in millions of dollars. The graph shows a linear increase + in revenue from $100 million in 2020 to $300 million in 2024.\\n\"\n }\n + \ ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"avgLogprobs\": -0.059104222517747149\n }\n ],\n \"usageMetadata\": + {\n \"promptTokenCount\": 1328,\n \"candidatesTokenCount\": 78,\n \"totalTokenCount\": + 1406,\n \"promptTokensDetails\": [\n {\n \"modality\": \"IMAGE\",\n + \ \"tokenCount\": 1290\n },\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 38\n }\n ],\n \"candidatesTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 78\n + \ }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n \"responseId\": + \"jiqOaYGkEI7UjMcPjoCm8Qw\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 19:31:28 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=2514 Transfer-Encoding: - chunked Vary: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_image_file[gemini-gemini-2.5-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_image_file[gemini-gemini-2.5-flash].yaml new file mode 100644 index 000000000..669c0d1a9 --- /dev/null +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_image_file[gemini-gemini-2.5-flash].yaml @@ -0,0 +1,139 @@ +interactions: +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Describe this image + briefly.\n\nProvide your complete response:"}, {"inlineData": {"data": 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Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '37437' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"This is a line graph titled \\\"Revenue + Over Time,\\\" displaying a steady, linear increase in revenue from $100M + in 2020 to $300M in 2024. 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", + "mimeType": "image/png"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '37437' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"This image is a line graph titled + \\\"Revenue Over Time\\\". It displays revenue in millions of dollars ($M) + on the y-axis, ranging from $100M to $300M, against the year on the x-axis, + spanning from 2020 to 2024. A single blue line shows a consistent, linear + increase in revenue from $100M in 2020 to $300M in 2024.\"\n }\n + \ ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 298,\n \"candidatesTokenCount\": 102,\n \"totalTokenCount\": 584,\n + \ \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 40\n },\n {\n \"modality\": \"IMAGE\",\n + \ \"tokenCount\": 258\n }\n ],\n \"thoughtsTokenCount\": + 184\n },\n \"modelVersion\": \"gemini-2.5-flash\",\n \"responseId\": \"QkqOaff5Or6o_uMPwP3KgAY\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 21:46:43 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1925 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_mixed_files[gemini-gemini-2.0-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_mixed_files[gemini-gemini-2.0-flash].yaml index 48163e9ff..d380fed12 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_mixed_files[gemini-gemini-2.0-flash].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_mixed_files[gemini-gemini-2.0-flash].yaml @@ -1,17 +1,12 @@ interactions: - request: - body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What files do you see?\n\nBegin! - This is VERY important to you, use the tools available and give your best Final - Answer, your job depends on it!\n\nThought:"}, {"inlineData": {"data": 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+ body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What files do you see?\n\nProvide + your complete response:"}, {"inlineData": {"data": 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Expert at analyzing various file types.\nYour - personal goal is: Analyze and describe files accurately\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}], "role": "user"}, "generationConfig": - {"stopSequences": ["\nObservation:"]}}' + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,13 +17,13 @@ interactions: connection: - keep-alive content-length: - - '38676' + - '38275' content-type: - application/json host: - generativelanguage.googleapis.com x-goog-api-client: - - google-genai-sdk/1.49.0 gl-python/3.12.10 + - google-genai-sdk/1.49.0 gl-python/3.13.3 x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST @@ -36,35 +31,31 @@ interactions: response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"Thought:The image shows a line graph - titled \\\"Revenue Over Time\\\". The x-axis represents the year, ranging - from 2020 to 2024. The y-axis represents the revenue in millions of dollars. - A single line plots the revenue, starting at $100 million in 2020 and increasing - linearly to $300 million in 2024. The graph includes a grid for better readability.\\n\\nFinal - Answer:The image contains one file, which is a line graph depicting \\\"Revenue - Over Time\\\" from 2020 to 2024. The x-axis represents the year, and the y-axis - represents the revenue in millions of dollars, with the revenue increasing - linearly from $100 million to $300 million over the period.\\n\"\n }\n - \ ],\n \"role\": \"model\"\n },\n \"finishReason\": - \"STOP\",\n \"avgLogprobs\": -0.2089551140280331\n }\n ],\n \"usageMetadata\": - {\n \"promptTokenCount\": 1543,\n \"candidatesTokenCount\": 170,\n \"totalTokenCount\": - 1713,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n - \ \"tokenCount\": 253\n },\n {\n \"modality\": \"IMAGE\",\n - \ \"tokenCount\": 1290\n }\n ],\n \"candidatesTokensDetails\": - [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 170\n + [\n {\n \"text\": \"I see a line graph titled \\\"Revenue + Over Time\\\". The x-axis represents the year, ranging from 2020 to 2024. + The y-axis represents revenue in millions of dollars ($M), ranging from 100 + to 300. A single blue line shows a linear increase in revenue from $100M in + 2020 to $300M in 2024. The graph has a grid.\\n\"\n }\n ],\n + \ \"role\": \"model\"\n },\n \"finishReason\": \"STOP\",\n + \ \"avgLogprobs\": -0.13460521697998046\n }\n ],\n \"usageMetadata\": + {\n \"promptTokenCount\": 1454,\n \"candidatesTokenCount\": 100,\n \"totalTokenCount\": + 1554,\n \"promptTokensDetails\": [\n {\n \"modality\": \"IMAGE\",\n + \ \"tokenCount\": 1290\n },\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 164\n }\n ],\n \"candidatesTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 100\n \ }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n \"responseId\": - \"9clzaaXJKvOPjMcPhsLQ-Q0\"\n}\n" + \"lyqOabaLKfLkjMcPs-amqA8\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 23 Jan 2026 19:20:23 GMT + - Thu, 12 Feb 2026 19:31:37 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=1820 + - gfet4t7; dur=2151 Transfer-Encoding: - chunked Vary: @@ -80,4 +71,64 @@ interactions: status: code: 200 message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What files do you see?\n\nProvide + your complete response:"}, {"inlineData": {"data": 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ysoiOjqZUqVIEBATQo0cPkpOT841x_PhxunTpgp-fH6GhoYwcOZLc3FxbtyIiIiJicw4ZACtUqMCkSZPYunUrW7Zs4cEHH-SRRx5h9-7dAAwbNozvvvuO-fPns2bNGk6dOsVjjz1mfXxeXh5dunQhJyeH3377jS-__JJZs2YxZswYe7UkIiIiYjMO-VnAXbt2zbf8xhtv8NFHH7Fx40YqVKjA559_TlxcHA8--CAAM2fOpHbt2mzcuJEWLVrw448_smfPHn766SfCwsJo1KgREydOZNSoUYwbNw4vLy97tCUiIiJ_Yxj2rsB5OWQA_Lu8vDzmz5_PpUuXaNmyJVu3bsVsNtO-fXvrPrVq1aJixYps2LCBFi1asGHDBurXr09YWJh1n44dOzJkyBB2795N48aNCzxWdnY22dnZ1uW0tDTgrw-sNpvNhdrXlfEKe9ziQv05PmfvUf05Pmfv0dn723LkHG_vcKfmPalUDwsu1LGd9Xt2Kxw2AO7cuZOWLVuSlZVFQEAAixcvpk6dOiQmJuLl5UWJEiXy7R8WFkZSUhIASUlJ-cLfle1Xtl3LW2-9xfjx469a_-OPP-Ln53eHHRUsPj6-SMYtLtSf43P2HtWf43P2Hp2tP8OAVadNfHfcDYthYlTcBgbVtBTqMTIzMwt1PEfksAGwZs2aJCYmkpqayoIFC-jfvz9r1qwp0mOOHj2a4cOHW5fT0tKIiIggMjKSoKCgQj2W2WwmPj6eDh064OnpWahjFwfqz_E5e4_qz_E5e4_O2N_FzBxGLdrFqmPnAGgUYuGTZ1oTEuhbqMe5MoPnyhw2AHp5eVG9enUA7r77bjZv3szUqVPp1asXOTk5pKSk5DsLmJycTHh4OADh4eH8_vvv-ca7cpXwlX0K4u3tjbe391XrPT09i-zFV5RjFwfqz_E5e4_qz_E5e4_O0t-Woxd4Yc42TqVm4eXhxquda1Li7E5CAn0LvT9n-H7dKYe8CrggFouF7Oxs7r77bjw9Pfn555-t2_bt28fx48dp2bIlAC1btmTnzp2cOXPGuk98fDxBQUHUqVPH5rWLiIi4KovF4MPVB-n16UZOpWZRpbQ_i5-_l77NIjCZ7F2d83LIM4CjR4-mc-fOVKxYkfT0dOLi4li9ejUrV64kODiYQYMGMXz4cEJCQggKCmLo0KG0bNmSFi1aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wDN8IiIiUvjOZ2Qz_JvtrNl_FoBHGpXjjUfrE-DtoQs1iphDBsAzZ87w1FNPcfr0aYKDg2nQoAErV66kQ4cOALz__vu4ubnRo0cPsrOz6dixIx9--KH18e7u7ixbtowhQ4bQsmVL_P396d-_PxMmTLBXSyIiIi5l0-HzvDB3G8lp2Xh7uDG-W116NY3ApNN-NuGQAfDzzz-_7nYfHx9iY2OJjY295j6VKlVi-fLlhV2aiIiIXEeexeDDVQd5_6f9WAyoVsaf2L5NqBVeuBdTyvU5ZAAUERERx3M2PZt_z9vGrwfPA9CjSQUmdq-Ln5fiiK3pOy4iIiJF7teD53hxbiLnMrLx9XRnYvd6PH53BXuX5bIUAEVERKTI5FkMpv58gOm_HMAwoEZYALFRTbgrLNDepbk0BUAREREpEslpWbwwZxubjlwAoHfTCMZ2rYuvl7udKxMFQBERESl0a_afZfi8RM5fysHfy503H6vPI43K27ss-f8pAIqIiEihyc2z8F78fj5afQiA2mWDiI1qTNUyAXauTP5OAVBEREQKxamUy7wwZxtbjl0EoF-LirzWpQ4-npryLW4UAEVEROSO_fJHMsO_2U5KppkAbw8m9ajPww3K2bssuQYFQBEREblt5jwLk1fu49O1hwGoXz6YGVGNqVTK386VyfUoAIqIiMhtOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOVb3CkAioiIyC1buTuJkfO3k5aVS5CPB-883pBO9cLtXZbcJAVAERERuWk5uRbe-mEvM389CkDDiBLM6NOYiBA_-xYmt0QBUERERG7K8fOZxMxJYMfJVAAG31-FkR1r4eXhZufK5FYpAIqIiMgNLd95mlELdpCenUsJP0_efbwh7euE2bssuU0KgCIiInJNWeY83vh-L19vPAbA3ZVKMq1PY8qX8LVzZXInFABFRESkQEfOXSJ6dgJ7TqcBMKRNNYZ3qIGnu6Z8HZ0CoIiIiFzl28Q_eXXRTi7l5BHi78WUng1pUzPU3mVJIVEAFBEREasscx7jv9vNnN9PANCsSgjTejcmPNjHzpVJYVIAFBEREQAOnskgenYC-5LTMZkgpm11Xmx3Fx6a8nU6CoAiIiLCwq0neW3JLi6b8ygd4M0HvRrR6q7S9i5LiogCoIiIiAvLzMllzLe7WbD1JAD3VivFB70bERqoKV9npgAoIiLiovYnpxM9O4EDZzJwM8GL7WoQ82B13N1M9i5NipgCoIiIiIsxDINvtpxg7NLdZJkthAZ6M7V3Y1pWK2Xv0sRGFABFRERcSEZ2Lq8t3smSxFMA3H9Xad7v1YjSAd52rkxsSQFQRETERew5lUZMXAKHz13C3c3ES5E1eO6BarhpytflKACKiIg4OcMwiPv9OOO_20NOroWywT5M69OYppVD7F2a2IkCoIiIiBNLzzLzyqKdfL_jNAAP1grl3ScaEuLvZefKxJ4UAEVERJzUrj9TiY5L4Nj5TDzcTLzcqSbPtKqqKV9RABQREXE2hmHw5W9HeXP5H-TkWShfwpfpUY1pUrGkvUuTYkIBUERExImkXjYzasEOVuxOAqBDnTDefbwhwX6edq5MihMFQBERESeReCKFmLgETl68jKe7idGdazPwvsqYTJrylfwc8tOd33rrLZo2bUpgYCChoaF0796dffv2WbcfPXoUk8lU4Nf8-fOt-xW0fe7cufZoSURE5LYZhsH_W3eYxz_6jZMXLxMR4suC5-7l6VZVFP6kQA55BnDNmjVER0fTtGlTcnNzefXVV4mMjGTPnj34-_sTERHB6dOn8z3m008_ZfLkyXTu3Dnf-pkzZ9KpUyfrcokSJWzRgoiISKFIyTQzekkiP-09A8BD9cOZ1KMBQT6a8pVrc8gAuGLFinzLs2bNIjQ0lK1bt_LAAw_g7u5OeHh4vn0WL15Mz549CQgIyLe-RIkSV-0rIiLiCI6kw6QPN3A6NQsvDzdef7gO_ZpX1Fk_uSGHDID_lJqaCkBISME3tNy6dSuJiYnExsZetS06OppnnnmGqlWr8txzzzFw4MBrvnCys7PJzs62LqelpQFgNpsxm8132kY-V8Yr7HGLC_Xn-Jy9R_Xn-Jy5R4vF4NO1h5i2yx0LWVQu5cfUXg2oUzaI3Nxce5dXKIry-XPGn4lbZTIMw7B3EXfCYrHQrVs3UlJSWL9-fYH7PP_886xevZo9e_bkWz9x4kQefPBB_Pz8-PHHHxk7dizvvPMOL7zwQoHjjBs3jvHjx1-1Pi4uDj8_vztvRkRE5AYyzPC_g27sTfnrbfxNSlnoVc2Cj7udC3MgmZmZREVFkZqaSlBQkL3LsQuHD4BDhgzhhx9-YP369VSoUOGq7ZcvX6Zs2bK8_vrrvPTSS9cda8yYMcycOZMTJ04UuL2gM4ARERGcO3eu0H-AzGYz8fHxdOjQAU9P53sfh_pzfM7eo_pzfM7Y4-9HLzD8m50kp2fj7eFG94pmxvRth5eX832qR1E-f2lpaZQuXdqlA6BDTwHHxMSwbNky1q5dW2D4A1iwYAGZmZk89dRTNxyvefPmTJw4kezsbLy9va_a7u3tXeB6T0_PIvvlUpRjFwfqz_E5e4_qz_E5Q48Wi8GHqw8yJX4_FgOqlfFnas8GHEpYh5eXl8P3dz1F8fw58_frZjlkADQMg6FDh7J48WJWr15NlSpVrrnv559_Trdu3ShTpswNx01MTKRkyZIFhjwRERF7OJuezfBvEll34BwAjzUpz8RH6uHlZnDIzrWJ43LIABgdHU1cXBzffvstgYGBJCX9dbfz4OBgfH19rfsdPHiQtWvXsnz58qvG-O6770hOTqZFixb4-PgQHx_Pm2--yYgRI2zWh4iIyPX8dvAcL85L5Gx6Nr6e7kx4pC5P3BMB6EIGuTMOGQA_-ugjANq0aZNv_cyZMxkwYIB1-YsvvqBChQpERkZeNYanpyexsbEMGzYMwzCoXr06U6ZMYfDgwUVZuoiIyA3lWQym_nyA6b8cwDCgRlgAsVFNuCss0N6liZNwyAB4s9etvPnmm7z55psFbuvUqVO-G0CLiIgUB8lpWbw4dxsbD18AoNc9EYzrVhdfL13mK4XHIQOgiIiIM1q7_yzD5iVy_lIOfl7uvPlofbo3Lm_vssQJKQCKiIjYWW6ehfd_2s-Hqw9hGFC7bBCxUY2pWibgxg8WuQ0KgCIiInZ0OvUyL8zZxuajFwHo27wirz9cBx9PTflK0VEAFBERsZNVf5xh-DeJXMw0E-DtwaQe9Xm4QTl7lyUuQAFQRETExsx5Ft5duY9P1h4GoF75IGb0aULl0v52rkxchQKgiIiIDZ28mMnQOdvYdjwFgAH3Vmb0Q7Xw9tCUr9iOAqCIiIiN_Lg7iZELdpB62UygjweTH29Ap3pl7V2WuCAFQBERkSKWk2th0g9_8MWvRwBoWCGYGVFNiAjxs3Nl4qoUAEVERIrQiQuZxMQlsP1kKgDPtKrCy51q4eXhZufKxJUpAIqIiBSRH3ae5uWFO0jPyiXY15P3nmhI-zph9i5LRAFQRESksGWZ83hz-V6-2nAMgLsrlWRan8aUL-Fr58pE_qIAKCIiUoiOnLtETFwCu0-lAfBc62q8FFkDT3dN-UrxoQAoIiJSSJZuP8Wri3aSkZ1LiL8X7_VsSNuaofYuS-QqCoAiIiJ3KMucx_jv9jDn9-MANKscwrQ-jQkP9rFzZSIFUwAUERG5AwfPZBATl8AfSemYTBDTtjovtrsLD035SjGmACgiInKbFiWc5LUlu8jMyaN0gBfv92rE_XeVsXdZIjekACgiInKLMnNyGfvtbuZvPQlAy6qlmNq7EaFBmvIVx6AAKCIicgv2J6cTPTuBA2cycDPBi-1qEPNgddzdTPYuTeSmKQCKiIjcBMMwmL_1JGO-3UWW2UJooDdTezemZbVS9i5N5JYpAIqIiNzApexcXluyi8Xb_gTg_rtK836vRpQO8LZzZSK3RwFQRETkOvaeTiM6LoHDZy_h7mZieIcaDGldDTdN-YoDUwAUEREpgGEYzPn9BOO-201OroXwIB-mRzWmaeUQe5cmcscUAEVERP4hPcvMq4t38d32UwC0rVmG93o2IsTfy86ViRQOBUAREZG_2fVnKjFxCRw9n4mHm4mXO9XkmVZVNeUrTkUBUEREhL-mfL_acIw3vt9LTp6F8iV8mdanMXdXKmnv0kQKnQKgiIi4vNTLZl5ZuIMfdiUB0L52GO8-0YASfpryFeekACgiIi5t-4kUYuYkcOLCZTzdTYzuXJuB91XGZNKUrzgvBUAREXFJhmHwxa9HmfTDXsx5BhEhvszo04SGESXsXZpIkVMAFBERl5OSmcOI-Tv4aW8yAJ3rhTOpRwOCfT3tXJmIbSgAioiIS9l67CIvzNnGnymX8XJ34_WHa9OvRSVN-YpLUQAUERGXYLEYfLbuMJNX7iPXYlC5lB8zoppQr3ywvUsTsTk3exdwO9566y2aNm1KYGAgoaGhdO_enX379uXbp02bNphMpnxfzz33XL59jh8_TpcuXfDz8yM0NJSRI0eSm5try1ZERMQGLlzKYdCXm3nrhz_ItRh0bViO74a2UvgTl-WQZwDXrFlDdHQ0TZs2JTc3l1dffZXIyEj27NmDv7-_db_BgwczYcIE67Kfn5_133l5eXTp0oXw8HB---03Tp8-zVNPPYWnpydvvvmmTfsREZGis_noRYbP30lSWhbeHm6M61aX3k0jNOUrLs0hA-CKFSvyLc-aNYvQ0FC2bt3KAw88YF3v5-dHeHh4gWP8-OOP7Nmzh59--omwsDAaNWrExIkTGTVqFOPGjcPLS_d-EhFxZBaLwY8nTazYtIU8i0HVMv7ERjWhdtkge5cmYncOGQD_KTU1FYCQkPwf0D179mz-97__ER4eTteuXXn99detZwE3bNhA_fr1CQsLs-7fsWNHhgwZwu7du2ncuPFVx8nOziY7O9u6nJaWBoDZbMZsNhdqT1fGK-xxiwv15_icvUf159jOZ2Tz0vwd_HrCHTDo3rAs47rWxt_bw2l6dvbnsCj7c9bv2a0wGYZh2LuIO2GxWOjWrRspKSmsX7_euv7TTz-lUqVKlCtXjh07djBq1CiaNWvGokWLAHj22Wc5duwYK1eutD4mMzMTf39_li9fTufOna861rhx4xg_fvxV6-Pi4vJNL4uIiP0cSDXx1QE30swmPN0MHq9ioXkZA834yhWZmZlERUWRmppKUJBrnhF2-DOA0dHR7Nq1K1_4g78C3hX169enbNmytGvXjkOHDlGtWrXbOtbo0aMZPny4dTktLY2IiAgiIyML_QfIbDYTHx9Phw4d8PR0vvtSqT_H5-w9qj_Hk2cx-HD1YT7ceAiLAdXL-PN4uVSeesR5evw7Z3wO_64o-7syg-fKHDoAxsTEsGzZMtauXUuFChWuu2_z5s0BOHjwINWqVSM8PJzff_893z7JyX_dEPRa7xv09vbG29v7qvWenp5F9uIryrGLA_Xn-Jy9R_XnGM6kZfHi3EQ2HD4PQM97KvBa55qs-mml0_R4Lerv9sZ0dQ55GxjDMIiJiWHx4sX88ssvVKlS5YaPSUxMBKBs2bIAtGzZkp07d3LmzBnrPvHx8QQFBVGnTp0iqVtERArfugNneWjaOjYcPo-flzvv92rIO483xNfL3d6liRRbDnkGMDo6mri4OL799lsCAwNJSkoCIDg4GF9fXw4dOkRcXBwPPfQQpUqVYseOHQwbNowHHniABg0aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wLN8IiJSvOTmWfjgpwPErj6IYUCt8EBi-zahWpkAe5cmUuw5ZAD86KOPgL9u9vx3M2fOZMCAAXh5efHTTz_xwQcfcOnSJSIiIujRowevvfaadV93d3eWLVvGkCFDaNmyJf7-_vTv3z_ffQNFRKR4Op16mRfnJPL70QsARDWvyJiH6-DjqbN-IjfDIQPgjS5cjoiIYM2aNTccp1KlSixfvrywyhIRERtYte8Mw-clcjHTTIC3B289Vp-uDcvZuywRh-KQAVBERFyPOc_Cuz_u45M1hwGoVz6IGX2aULm0_w0eKSL_pAAoIiLF3p8plxkal0DC8RQA-resxKtdauPtoSlfkduhACgiIsVa_J5kRszfTuplM4E-HrzTowGd65e1d1kiDk0BUEREiqWcXAtvr_iDz9cfAaBhhWBmRDUhIkSfvCRypxQARUSk2DlxIZOYOdvYfiIFgEGtqjCqUy28PBzy9rUixY4CoIiIFCsrdp1m5IIdpGflEuzrybtPNKRDnTB7lyXiVBQARUSkWMjOzePN7_fy5YZjADSpWILpUU0oX8LXzpWJOB8FQBERsbuj5y4RMyeBXX-mAfCv1lUZEVkTT3dN-YoUBQVAERGxq--2n2L0op1kZOdS0s-TKT0b0bZWqL3LEnFqCoAiImIXWeY8JizbQ9ym4wA0qxzC1D6NKBusKV-RoqYAKCIiNnfobAbRsxP4Iykdkwmi21Tn3-3vwkNTviI2oQAoIiI2tXjbSf6zeBeZOXmUDvDi_V6NuP-uMvYuS8SlKACKiIhNXM7JY-zSXXyz5SQALauWYmrvRoQG-di5MhHXowAoIiJF7kByOtFxCexPzsBkghfb3cXQB-_C3c1k79JEXJICoIiIFBnDMJi_9SRjvt1FltlCmUBvpvZuxL3VStu7NBGXpgAoIiJF4lJ2Lq8v2cWibX8CcP9dpXm_VyNKB3jbuTIRUQAUEZFCt_d0GjFxCRw6ewk3E7wUWZMhravhpilfkWJBAVBERAqNYRjM-f0E47_bTXauhfAgH6b1aUyzKiH2Lk1E_kYBUERECkV6lplXF-_iu-2nAGhTswxTejYixN_LzpWJyD8pAIqIyB3b9WcqMXEJHD2fiYebiZEdazL4_qqa8hUpphQARUTkthmGwf82HmPisr3k5FkoX8KXaX0ac3elkvYuTUSuQwFQRERuS1qWmVcW7mD5ziQA2tcO490nGlDCT1O-IsWdAqCIiNyy7SdSiJmTwIkLl_F0N_FK59o8fV9lTCZN-Yo4AgVAERG5aYZhMPPXo7z1w17MeQYRIb7M6NOEhhEl7F2aiNwCBUAREbkpKZk5jFywg_g9yQB0rhfOpB4NCPb1tHNlInKrFABFROSGEo5fZGjcNv5MuYyXuxuvPVybJ1tU0pSviINSABQRkWuyWAw-W3eYySv3kWsxqFTKj9ioJtQrH2zv0kTkDigAiohIgS5cymHE_O388scZAB5uUJa3HqtPoI-mfEUcnQKgiIhcZfPRCwyN20ZSWhbeHm6M7VqXPs0iNOUr4iQUAEVExMpiMfhozSGmxO8nz2JQtYw_sVFNqF02yN6liUghUgAUEREAzmVkM2xeIusOnAPgscblmdi9Hv7e-lMh4mzcbHkws9nMiRMn2LdvHxcuXLjtcd566y2aNm1KYGAgoaGhdO_enX379lm3X7hwgaFDh1KzZk18fX2pWLEiL7zwAqmpqfnGMZlMV33NnTv3tusSEXFUGw6d56Gp61h34Bw-nm6883gD3uvZUOFPxEkV-Ss7PT2d__3vf8ydO5fff_-dnJwcDMPAZDJRoUIFIiMjefbZZ2natOlNj7lmzRqio6Np2rQpubm5vPrqq0RGRrJnzx78_f05deoUp06d4t1336VOnTocO3aM5557jlOnTrFgwYJ8Y82cOZNOnTpZl0uUKFFYrYuIFHt5FoMPfzrA1J_3YzHgrtAAYvs2oUZYoL1LE5EiVKQBcMqUKbzxxhtUq1aNrl278uqrr1KuXDl8fX25cOECu3btYt26dURGRtK8eXOmT5_OXXfddcNxV6xYkW951qxZhIaGsnXrVh544AHq1avHwoULrdurVavGG2-8Qb9-_cjNzcXD4__aLlGiBOHh4YXXtIiIg0jLgYFfbmXD4b9mZHreU4Hx3erh6-Vu58pEpKgVaQDcvHkza9eupW7dugVub9asGU8__TQff_wxM2fOZN26dTcVAP_pytRuSEjIdfcJCgrKF_4AoqOjeeaZZ6hatSrPPfccAwcOvOZVbtnZ2WRnZ1uX09LSgL-mts1m8y3XfT1XxivscYsL9ef4nL1HZ-9vzb5k3t7hTob5An5e7ozvWpvujcoBFsxmi73LKxTO_hyqvzsf25WZDMMw7F3EnbBYLHTr1o2UlBTWr19f4D7nzp3j7rvvpl-_frzxxhvW9RMnTuTBBx_Ez8-PH3_8kbFjx_LOO-_wwgsvFDjOuHHjGD9-_FXr4-Li8PPzK5yGRESKUJ4BK064Ef-nCQMTZf0MBtbII8zX3pWJ2E5mZiZRUVHWk0OuyOED4JAhQ_jhhx9Yv349FSpUuGp7WloaHTp0ICQkhKVLl-Lpee0bmI4ZM4aZM2dy4sSJArcXdAYwIiKCc-fOFfoPkNlsJj4-ng4dOly3Zkel_hyfs_fojP0lpWUxfP5ONh-9CMC9YRZmPN2GQD8fO1dWNJzxOfw79Xf70tLSKF26tEsHwCK_COTpp5--qf2--OKLWx47JiaGZcuWsXbt2gLDX3p6Op06dSIwMJDFixff8AeoefPmTJw4kezsbLy9va_a7u3tXeB6T0_PInvxFeXYxYH6c3zO3qOz9Ld63xmGf7OdC5dyCPD2YGK32rid3Eagn49T9Hc9zvIcXov6u70xXV2RB8BZs2ZRqVIlGjduTGGdbDQMg6FDh7J48WJWr15NlSpVrtonLS2Njh074u3tzdKlS_HxufH_cBMTEylZsmSBIU9ExBGZ8yy89-N-Pl5zCIC65YKIjWpC-WAvlp_cZufqRMReijwADhkyhDlz5nDkyBEGDhxIv379rnuxxs2Ijo4mLi6Ob7_9lsDAQJKSkgAIDg7G19eXtLQ0IiMjyczM5H__-x9paWnWCzbKlCmDu7s73333HcnJybRo0QIfHx_i4-N58803GTFixB33LCJSHPyZcpkX5mxj67G_pnz7t6zE6Idq4-PprjfBi7i4Ir8RdGxsLKdPn-bll1_mu---IyIigp49e7Jy5crbPiP40UcfkZqaSps2bShbtqz1a968eQAkJCSwadMmdu7cSfXq1fPtc-X9fZ6ensTGxtKyZUsaNWrEJ598wpQpUxg7dmyh9S4iYi8_7Ummy7R1bD12kUAfDz7q24Txj9TDx1O3eBERG30UnLe3N3369KFPnz4cO3aMWbNm8fzzz5Obm8vu3bsJCAi4pfFuFBzbtGlzw306deqU7wbQIiLOICfXwjsr_uD_rT8CQMMKwUzv04SKpXSnAhH5Pzb_jB83NzdMJhOGYZCXl2frw4uIOK0TFzKJmbON7SdSAHj6viq80rkWXh42_dRPEXEANvmtkJ2dzZw5c-jQoQM1atRg586dzJgxg-PHj9_y2T8REbnail1JPDRtHdtPpBDs68lnT93DmK51FP5EpEBFfgbw-eefZ-7cuURERPD0008zZ84cSpcuXdSHFRFxCdm5eby1_A9m_XYUgCYVSzCtT2MqlNSUr4hcW5EHwI8__piKFStStWpV1qxZw5o1awrcb9GiRUVdioiIUzl2_hIxcdvY-edfH4f5r9ZVGRFZE093nfUTkesr8gD41FNPXfOzdUVE5PYs23GKVxbuJCM7l5J-nkzp2Yi2tULtXZaIOAib3AhaREQKR5Y5j4nL9jB703EAmlYuybQ-jSkbrA_zFZGbZ_OrgEVE5PYcOptB9OwE_khKx2SC6DbV-Xf7u_DQlK-I3CKb_NY4c-YMJ0-etC7n5uby2muv0bp1a1566SUyMzNtUYaIiMNasu1Puk5fzx9J6ZTy9-Krp5sxomNNhT8RuS02-c0xePBgvvzyS-vy5MmT-eyzz2jatClLly5l2LBhtihDRMThXM7JY9SCHfx7XiKZOXm0rFqKH168n_vvKmPv0kTEgdkkAO7YsYO2bdtal7_--mumTZvGu---y9y5c_nuu-9sUYaIiEM5kJzOI7HrmbflBCYTvNjuLv73THNCg3zsXZqIOLgifQ_gwIEDATh16hRTpkzhs88-Iycnh3379rF48WJWrlyJxWLhzJkzPP300wB88cUXRVmSiIhDmL_lBGO-3c1lcx5lAr2Z2qsR91bXPVRFpHAUaQCcOXMmAGvXrmXQoEF07tyZefPmsXPnTubOnQvA-fPnWbp0qYKfiAhwKTuX17_dxaKEPwG4_67STOnZiDKB3nauTESciU2uAu7SpQtPP_003bp1Y8mSJbz88svWbb___jt16tSxRRkiIsXaH0lpRM9O4NDZS7iZ4KXImgxpXQ03N91LVUQKl00C4DvvvENwcDCJiYkMGzYs30UfmzZt4rnnnrNFGSIixZJhGMzbfIKxS3eTnWshPMiHaX0a06xKiL1LExEnZZMA6OPjw8SJEwvcNm7cOFuUICJSLGVk5_Lqop0s3X4KgDY1yzClZyNC_L3sXJmIODPdCFpExE52_ZlKTFwCR89n4u5m4uWONRl8f1VN-YpIkSvS28B06tSJjRs33nC_9PR03n77bWJjY4uyHBGRYsEwDL7ecJTHPvqNo-czKRfswzf_asm_9H4_EbGRIj0D-MQTT9CjRw-Cg4Pp2rUr99xzD-XKlcPHx4eLFy-yZ88e1q9fz_Lly-nSpQuTJ08uynJEROwuLcvMKwt3sHxnEgDta4fx7hMNKOGnKV8RsZ0iDYCDBg2iX79-zJ8_n3nz5vHpp5-SmpoKgMlkok6dOnTs2JHNmzdTu3btoixFRMTudpxMISZuG8cvZOLpbmJUp1oMalUFk0ln_UTEtor8PYDe3t7069ePfv36AZCamsrly5cpVaoUnp6eRX14ERG7MwyDmb8e5a0f9mLOM6hQ0pcZUU1oFFHC3qWJiIuy-UUgwcHBBAcH2_qwIiJ2kZppZuSC7fy4JxmATnXDefvxBgT76j_AImI_ugpYRKSIbDt-kZi4bfyZchkvdzdee7g2T7aopClfEbE7BUARkUJmsRh8vv4Ib6_4g1yLQaVSfsRGNaFeec1-iEjxoAAoIlKILl7K4aX52_nljzMAPNygLG89Vp9AH035ikjxoQAoIlJIthy9wNA52zidmoWXhxvjutalT7MITfmKSLFj0wCYkpLCggULOHToECNHjiQkJISEhATCwsIoX768LUsRESk0FovBR2sOMSV-P3kWg6ql_Ynt24TaZYPsXZqISIFsFgB37NhB-_btCQ4O5ujRowwePJiQkBAWLVrE8ePH-eqrr2xViohIoTmXkc3wb7azdv9ZAB5tXJ7_dq-Hv7cmWESk-CrSj4L7u-HDhzNgwAAOHDiAj4-Pdf1DDz3E2rVrbVWGiEih2Xj4PA9NXcfa_Wfx8XTjnccbMKVnQ4U_ESn2bPZbavPmzXzyySdXrS9fvjxJSUm2KkNE5I7lWQxm_HKQqT_vx2LAXaEBxPZtQo2wQHuXJiJyU2wWAL29vUlLS7tq_f79-ylTpoytyhARuSNn0rMYNi-RXw-eB-CJuysw_pG6-HnprJ-IOA6bTQF369aNCRMmYDabgb8-C_j48eOMGjWKHj162KoMEZHb9uvBczw0dT2_HjyPn5c7U3o2ZPITDRX-RMTh2CwAvvfee2RkZBAaGsrly5dp3bo11atXJzAwkDfeeOOWxnrrrbdo2rQpgYGBhIaG0r17d_bt25dvn6ysLKKjoylVqhQBAQH06NGD5OTkfPscP36cLl264OfnR2hoKCNHjiQ3N_eOexUR55KbZ2HKj_vo9_kmzmVkUys8kKUxrXisSQV7lyYiclts9t_W4OBg4uPjWb9-PTt27CAjI4MmTZrQvn37Wx5rzZo1REdH07RpU3Jzc3n11VeJjIxkz549-Pv7AzBs2DC-__575s-fT3BwMDExMTz22GP8-uuvAOTl5dGlSxfCw8P57bffOH36NE899RSenp68-eabhdq7iDiu5LQshi_Yxe9HLgDQp1lFxnatg4-nu50rExG5fTaft2jVqhWtWrW6ozFWrFiRb3nWrFmEhoaydetWHnjgAVJTU_n888-Ji4vjwQcfBGDmzJnUrl2bjRs30qJFC3788Uf27NnDTz_9RFhYGI0aNWLixImMGjWKcePG4eXldUc1iojj23vRxLjYDVzMNOPv5c5bPRrQrWE5e5clInLHbBYAJ0yYcN3tY8aMue2xU1NTAQgJCQFg69atmM3mfGcXa9WqRcWKFdmwYQMtWrRgw4YN1K9fn7CwMOs-HTt2ZMiQIezevZvGjRtfdZzs7Gyys7Oty1cuajGbzdb3NhaWK-MV9rjFhfpzfM7cY26ehffi9_P__nAHzNQpG8jUXg2oXMrfafp15ufvCmfvUf3d-diuzGQYhmGLA_0zUJnNZo4cOYKHhwfVqlUjISHhtsa1WCx069aNlJQU1q9fD0BcXBwDBw7MF9YAmjVrRtu2bXn77bd59tlnOXbsGCtXrrRuz8zMxN_fn-XLl9O5c-erjjVu3DjGjx9_1fq4uDj8_Pxuq34RKV4uZsOXB9w5kv7Xx7fdH2bhkcoWPG32jmkRKWqZmZlERUWRmppKUJBrfmKPzc4Abtu27ap1aWlpDBgwgEcfffS2x42OjmbXrl3W8FeURo8ezfDhw63LaWlpREREEBkZWeg_QGazmfj4eDp06ICnp_N9iLz6c3zO2OMv-87ywcJdpFw2E-DtzhOVchjZu73T9Pd3zvj8_ZOz96j-bl9Bt6VzNXa9d0FQUBDjx4-na9euPPnkk7f8-JiYGJYtW8batWupUOH_rsYLDw8nJyeHlJQUSpQoYV2fnJxMeHi4dZ_ff_8933hXrhK-ss8_eXt74-3tfdV6T0_PInvxFeXYxYH6c3zO0GNOroV3VvzB_1t_BICGFYKZ8kR9dm1c7RT9XY-z9wfO36P6u70xXZ3dJzVSU1Ot7-G7WYZhEBMTw-LFi_nll1-oUqVKvu133303np6e_Pzzz9Z1-_bt4_jx47Rs2RKAli1bsnPnTs6cOWPdJz4-nqCgIOrUqXMHHYmIIzlxIZOen2ywhr-n76vC_OfupWKI3tYhIs7LZmcAp02blm_ZMAxOnz7N119_XeD77a4nOjqauLg4vv32WwIDA60fJRccHIyvry_BwcEMGjSI4cOHExISQlBQEEOHDqVly5a0aNECgMjISOrUqcOTTz7JO--8Q1JSEq-99hrR0dEFnuUTEeezcncSI-dvJy0rlyAfD959oiGRdf-aATCb8-xcnYhI0bFZAHz__ffzLbu5uVGmTBn69-_P6NGjb2msjz76CIA2bdrkWz9z5kwGDBhgPZ6bmxs9evQgOzubjh078uGHH1r3dXd3Z9myZQwZMoSWLVvi7-9P__79b3i1sog4vuzcPN5a_gezfjsKQOOKJZjepzEVSuqsn4i4BpsFwCNHjhTaWDdz4bKPjw-xsbHExsZec59KlSqxfPnyQqtLRIq_Y-cvERO3jZ1__vXWk389UJURHWvi6W73d8SIiNiMPsBSRFzG9ztO88rCHaRn51LSz5P3ejbkwVphN36giIiTsVkAvHTpEpMmTeLnn3_mzJkzWCyWfNsPHz5sq1JExMVkmfP47_d7-N_G4wA0rVySaX0aUzbY186ViYjYh80C4DPPPMOaNWt48sknKVu2LCaTyVaHFhEXdvhsBtFx29h7Og2TCZ5vU41h7WvgoSlfEXFhNguAP_zwA99__z333XefrQ4pIi7u28Q_eXXRTi7l5FHK34v3ezXigRpl7F2WiIjd2SwAlixZ0vpZvSIiRelyTh7jv9vN3M0nAGhRNYSpvRsTFuRj58pERIoHm82BTJw4kTFjxpCZmWmrQ4qICzp4Jp3usb8yd_MJTCZ4sd1dzH6mhcKfiMjf2OwM4HvvvcehQ4cICwujcuXKV30MS0JCgq1KEREntWDrSV5fsovL5jzKBHoztVcj7q1e2t5liYgUOzYLgN27d7fVoUTExWTm5PL6kt0sTDgJQKvqpXm_VyPKBOpTfURECmKzADh27FhbHUpEXMi-pHSen72VQ2cv4WaC4R1q8Hyb6ri56U4DIiLXYtMbQaekpLBgwQIOHTrEyJEjCQkJISEhgbCwMMqXL2_LUkTEwRmGwbzNJxi7dDfZuRbCgryZ1rsxzauWsndpIiLFns0C4I4dO2jfvj3BwcEcPXqUwYMHExISwqJFizh-_DhfffWVrUoREQeXkZ3Lfxbv5NvEUwC0rlGGKT0bUipAU74iIjfDZlcBDx8-nAEDBnDgwAF8fP7varyHHnqItWvX2qoMEXFwu0-l0nX6er5NPIW7m4lXOtdi5oCmCn8iIrfAZmcAN2_ezCeffHLV-vLly5OUlGSrMkTEQRmGwf82HWfisj3k5FooF-zD9KjG3F1J9xcVEblVNguA3t7epKWlXbV-__79lCmjO_OLyLWlZZkZvXAn3-88DUD72qFMfrwhJf297FyZiIhjstkUcLdu3ZgwYQJmsxkAk8nE8ePHGTVqFD169LBVGSLiYHacTOHhaev5fudpPNxMvNalNp89dY_Cn4jIHbBZAHzvvffIyMggNDSUy5cv07p1a6pXr05gYCBvvPGGrcoQEQdhGAYzfz1Cj49-4_iFTCqU9GXBkHt55v6qmEy6xYuIyJ2w2RRwcHAw8fHxrF-_nh07dpCRkUGTJk1o3769rUoQEQeRmmnm5YXbWbk7GYBOdcN5-_EGBPt63uCRIiJyM2wWAE-cOEFERAStWrWiVatWtjqsiDiYbccvEhO3jT9TLuPl7sZ_utTmqZaVdNZPRKQQ2WwKuHLlyrRu3ZrPPvuMixcv2uqwIuIgDMPgs7WHeeLjDfyZcplKpfxYOORe-t9bWeFPRKSQ2SwAbtmyhWbNmjFhwgTKli1L9-7dWbBgAdnZ2bYqQUSKqYuXcnjmyy28sXwvuRaDLg3KsmxoK-pXCLZ3aSIiTslmAbBx48ZMnjyZ48eP88MPP1CmTBmeffZZwsLCePrpp21VhogUM1uOXuChaev4-Y8zeHm48caj9ZjRpzGBPnq_n4hIUbFZALzCZDLRtm1bPvvsM3766SeqVKnCl19-aesyRMTOLBaDD1cfpNenGzmdmkXV0v4sef4--jbX-_1ERIqazS4CueLkyZPExcURFxfHrl27aNmyJbGxsbYuQ0Ts6HxGNsO_2c6a_WcB6N6oHP99tD4B3jb_lSQi4pJs9tv2k08-IS4ujl9__ZVatWrRt29fvv32WypVqmSrEkSkGNh4-Dwvzt1Gclo2Pp5uTOhWjyfuqaCzfiIiNmSzAPjf__6XPn36MG3aNBo2bGirw4pIMZFnMYhddZAPftqPxYDqoQHERjWhZnigvUsTEXE5NguAx48f1__wRVzUmfQshs1L5NeD5wF44u4KjH-kLn5emvIVEbEHm10EYjKZWLduHf369aNly5b8-eefAHz99desX7_eVmWIiI39evAcD01dz68Hz-Pr6c6Ung2Z_ERDhT8RETuyWQBcuHAhHTt2xNfXl23btlnv_5eamsqbb75pqzJExEbyLAZT4vfT7_NNnMvIplZ4IN8NbcVjTSrYuzQREZdnswD43__-l48__pjPPvsMT8__u7_XfffdR0JCgq3KEBEbSE7LIuqzjUz7-QCGAX2aRbAk-j6qhwbYuzQREcGG7wHct28fDzzwwFXrg4ODSUlJsVUZIlLE1uw_y7B5iVy4lIO_lztvPlafRxqVt3dZIiLyNzYLgOHh4Rw8eJDKlSvnW79-_XqqVq1qqzJEpIjk5ll4L34_H60-BECdskHE9m1CldL-dq5MRET-yWZTwIMHD-bFF19k06ZNmEwmTp06xezZsxkxYgRDhgy5pbHWrl1L165dKVeuHCaTiSVLluTbbjKZCvyaPHmydZ_KlStftX3SpEmF0aqIyzmVcpnen260hr8nW1Ri0fP3KvyJiBRTNjsD-Morr2CxWGjXrh2ZmZk88MADeHt7M2LECIYOHXpLY126dImGDRvy9NNP89hjj121_fTp0_mWf_jhBwYNGkSPHj3yrZ8wYQKDBw-2LgcG6n5kIrdq1b6zvLxoFymZZgK9PXj78QY8VL-svcsSEZHrsFkANJlM_Oc__2HkyJEcPHiQjIwM6tSpQ0BAAJcvX8bX1_emx-rcuTOdO3e-5vbw8PB8y99--y1t27a9aqo5MDDwqn1F5OaY8ywsOerGqg3bAGhQIZgZfZpQsZSfnSsTEZEbsfmNuLy8vKhTpw4A2dnZTJkyhXfeeYekpKQiOV5ycjLff_89X3755VXbJk2axMSJE6lYsSJRUVEMGzYMD49rf0uys7Ott68BSEtLA8BsNmM2mwu17ivjFfa4xYX6c2wnL17mxXnb2XH6r3eR9G9ZkZGRNfD2cHOanp39OXT2_sD5e1R_dz62KzMZhmEU5QGys7MZN24c8fHxeHl58fLLL9O9e3dmzpzJf_7zH9zd3YmJiWHUqFG3Nb7JZGLx4sV07969wO3vvPMOkyZN4tSpU_j4-FjXT5kyhSZNmhASEsJvv_3G6NGjGThwIFOmTLnmscaNG8f48eOvWh8XF4efn856iGvYccFE3EE3LueZ8HU3iKpuoUFIkf4aEREpVJmZmURFRZGamkpQUJC9y7GLIg-Ao0aN4pNPPqF9-_b89ttvnD17loEDB7Jx40ZeffVVnnjiCdzd3W97_BsFwFq1atGhQwemT59-3XG--OIL_vWvf5GRkYG3t3eB-xR0BjAiIoJz584V-g-Q2WwmPj6eDh065LtvorNQf44nO9fCOyv389XG4wA0LB9E97AL9HrYeXr8O2d8Dv_O2fsD5-9R_d2-tLQ0Spcu7dIBsMingOfPn89XX31Ft27d2LVrFw0aNCA3N5ft27cX-WcDr1u3jn379jFv3rwb7tu8eXNyc3M5evQoNWvWLHAfb2_vAsOhp6dnkb34inLs4kD9OYZj5y8RE7eNnX-mAvDsA1X594NViV-5wml6vBb15_icvUf1d3tjuroiD4AnT57k7rvvBqBevXp4e3szbNiwIg9_AJ9__jl33303DRs2vOG-iYmJuLm5ERoaWuR1iTiS73ec5pWFO0jPzqWknyfv9WzIg7XC9B4aEREHVuQBMC8vDy8vr_87oIcHAQF39nFQGRkZHDx40Lp85MgREhMTCQkJoWLFisBfp3fnz5_Pe--9d9XjN2zYwKZNm2jbti2BgYFs2LCBYcOG0a9fP0qWLHlHtYk4iyxzHv_9fg__-_-nfO-pVJLpUY0pG3zzV-yLiEjxVOQB0DAMBgwYYJ06zcrK4rnnnsPfP_8NYhctWnTTY27ZsoW2bdtal4cPHw5A__79mTVrFgBz587FMAz69Olz1eO9vb2ZO3cu48aNIzs7mypVqjBs2DDrOCKu7si5S0TPTmDP6b-udH--TTWGd6iBh7vN7h0vIiJFqMgDYP_-_fMt9-vX747HbNOmDTe6duXZZ5_l2WefLXBbkyZN2Lhx4x3XIeKMvk38k1cX7eRSTh6l_L2Y0qsRrWuUsXdZIiJSiIo8AM6cObOoDyEihSDLnMe4pbuZu_kEAC2qhjC1d2PCgnxu8EgREXE0Nr8RtIgUPwfPpBM9exv7ktMxmWDog3fxYru7cHcr-ou1RETE9hQARVzcgq0neX3JLi6b8ygd4M3U3o24r3ppe5clIiJFSAFQxEVl5uTy-pLdLEw4CcB91Uvxfq9GhAZqyldExNkpAIq4oH1J6UTHJXDwTAZuJhjWvgbPt62uKV8RERehACjiQgzD4JstJxjz7W6ycy2EBXkztXdjWlQtZe_SRETEhhQARVxERnYury3eyZLEUwC0rlGGKT0bUiqg4M--FhER56UAKOIC9pxKIyYugcPnLuHuZmJEZE3-9UBV3DTlKyLikhQARZyYYRjM3nScCcv2kJNroWywD9P7NOaeyiH2Lk1EROxIAVDESaVlmRm9aCff7zgNQLtaobz7RENK-nvd4JEiIuLsFABFnNDOk6nEzEng2PlMPNxMvNK5FoNaVcFk0pSviIgoAIo4FcMw-PK3o7y5_A9y8iyUL-HLjKjGNK5Y0t6liYhIMaIAKOIkUjPNvLxwOyt3JwMQWSeMyY83JNjP086ViYhIcaMAKOIEth2_yNA52zh58TJe7m68-lAt-t9bWVO-IiJSIAVAEQdmGAafrz_CpB_-INdiUDHEj9ioJtSvEGzv0kREpBhTABRxUBcv5TBi_nZ-_uMMAF3ql-WtHvUJ8tGUr4iIXJ8CoIgD2nrsAkPjtnEqNQsvDzfGPFyHvs0raspXRERuigKgiAOxWAw-WXuYd3_cR57FoEppf2ZENaZuOU35iojIzVMAFHEQ5zOyGf7NdtbsPwvAI43K8caj9Qnw1stYRERujf5yiDiATYfP88LcbSSnZePt4caER-rS854ITfmKiMhtUQAUKcbyLAYfrjrI-z_tx2JA9dAAYqOaUDM80N6liYiIA1MAFCmmzqZn8-952_j14HkAejSpwMTudfHz0stWRETujP6SiBRDvx48x4tzEzmXkY2vpzsTu9fj8bsr2LssERFxEgqAIsVInsVg6s8HmP7LAQwDaoYFEtu3MdVDNeUrIiKFRwFQpJhITsvixbnb2Hj4AgC9m0YwtmtdfL3c7VyZiIg4GwVAkWJgzf6zDJ-XyPlLOfh7ufPmY_V5pFF5e5clIiJOSgFQxI5y8yxMid_Ph6sPAVC7bBCxUY2pWibAzpWJiIgzUwAUsZNTKZd5Yc42thy7CMCTLSrxny618fHUlK-IiBQtBUARO_jlj2SGf7OdlEwzgd4eTOrRgC4Nytq7LBERcREKgCI2ZM6zMHnlPj5dexiA-uWDmRHVmEql_O1cmYiIuBIFQBEbOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOUrIiK25WbvAm7H2rVr6dq1K-XKlcNkMrFkyZJ82wcMGIDJZMr31alTp3z7XLhwgb59-xIUFESJEiUYNGgQGRkZNuxCXMnK3Uk8NHUdiSdSCPLx4JMn72Zct7oKfyIiYhcOeQbw0qVLNGzYkKeffprHHnuswH06derEzJkzrcve3t75tvft25fTp08THx-P2Wxm4MCBPPvss8TFxRVp7eJacnItvLliNzN_PQpAo4gSTO_TmIgQP_sWJiIiLs0hA2Dnzp3p3Lnzdffx9vYmPDy8wG179-5lxYoVbN68mXvuuQeA6dOn89BDD_Huu-9Srly5Qq9ZXM-5LOj9_35n559pAAy-vwojO9bCy8MhT7yLiIgTccgAeDNWr15NaGgoJUuW5MEHH-S___0vpUqVAmDDhg2UKFHCGv4A2rdvj5ubG5s2beLRRx8tcMzs7Gyys7Oty2lpf_1hN5vNmM3mQq3_yniFPW5x4ez9Ldv-J5N3uJOVl0YJX0_e7lGPB2uWASMPsznP3uUVCmd_DtWf43P2HtXfnY_tykyGYRj2LuJOmEwmFi9eTPfu3a3r5s6di5-fH1WqVOHQoUO8-uqrBAQEsGHDBtzd3XnzzTf58ssv2bdvX76xQkNDGT9-PEOGDCnwWOPGjWP8-PFXrY-Li8PPT1N6AmYLLDnqxvrkv87yVQk06H9XHiW9b_BAERGxmczMTKKiokhNTSUoKMje5diFU54B7N27t_Xf9evXp0GDBlSrVo3Vq1fTrl272x539OjRDB8-3LqclpZGREQEkZGRhf4DZDabiY-Pp0OHDnh6ehbq2MWBM_Z39PwlXpi7g73J6QC0L2fhvYFt8fNxzvTnjM_h36k_x-fsPaq_23dlBs-VOWUA_KeqVatSunRpDh48SLt27QgPD-fMmTP59snNzeXChQvXfN8g_PW-wn9eTALg6elZZC--ohy7OHCW_r5N_JNXF-3kUk4eIf5evNujHukHfsfPx9sp-rseZ3kOr0X9OT5n71H93d6Yrs4l3o1-8uRJzp8_T9myf33SQsuWLUlJSWHr1q3WfX755RcsFgvNmze3V5nigLLMeYxetIMX5yZyKSeP5lVC-OHF-7n_rtL2Lk1EROSaHPIMYEZGBgcPHrQuHzlyhMTEREJCQggJCWH8-PH06NGD8PBwDh06xMsvv0z16tXp2LEjALVr16ZTp04MHjyYjz_-GLPZTExMDL1799YVwHLTDp7JIHp2AvuS0zGZYGjb6rzQ7i483N30BmMRESnWHDIAbtmyhbZt21qXr7wvr3___nz00Ufs2LGDL7_8kpSUFMqVK0dkZCQTJ07MN307e_ZsYmJiaNeuHW5ubvTo0YNp06bZvBdxTAu3nuS1Jbu4bM6jdIA3H_RqRCud9RMREQfhkAGwTZs2XO_i5ZUrV95wjJCQEN30WW5ZZk4uY77dzYKtJwG4r3op3u_ViNBAHztXJiIicvMcMgCK2MP-5HSiZydw4EwGbib4d_saRLetjrubyd6liYiI3BIFQJEbMAyDb7acYOzS3WSZLYQGejOtT2NaVC1l79JERERuiwKgyHVkZOfy2uKdLEk8BcADNcowpWdDSgc45739RETENSgAilzDnlNpxMQlcPjcJdzdTLwUWYPnHqiGm6Z8RUTEwSkAivyDYRjM3nScCcv2kJNroWywD9P6NKZp5RB7lyYiIlIoFABF_iY9y8wri3by_Y7TADxYK5T3nmhISX8vO1cmIiJSeBQARf5_O0-mEjMngWPnM_FwMzGqUy0GtaqiKV8REXE6CoDi8gzD4MvfjvLm8j_IybNQvoQv06Ma06RiSXuXJiIiUiQUAMWlpV42M2rBDlbsTgIgsk4Ykx9vSLCfPihcRESclwKguKzEEynExCVw8uJlPN1NvPpQbQbcWxmTSVO-IiLi3BQAxeUYhsHn648w6Yc_yLUYVAzxY0ZUYxpUKGHv0kRERGxCAVBcSkpmDiPmb-envWcAeKh-OJN6NCDIR1O-IiLiOhQAxWVsPXaBoXHbOJWahZeHG68_XId-zStqyldERFyOAqA4PYvF4JO1h3n3x33kWQyqlPZnRlRj6pYLtndpIiIidqEAKE7tfEY2L83fzup9ZwHo1rAcbz5WnwBv_eiLiIjr0l9BcVqbDp_nhbnbSE7LxtvDjfHd6tKraYSmfEVExOUpAIrTybMYfLjqIO__tB-LAdXK-BPbtwm1woPsXZqIiEixoAAoTuVsejbD5iWy_uA5AB5rUp6Jj9TDX1O-IiIiVvqrKE7jt4PneHFeImfTs_H1dGfCI3V54p4Ie5clIiJS7CgAisPLsxhM_fkA0385gGFAjbAAYqOacFdYoL1LExERKZYUAMWhJadl8eLcbWw8fAGA3k0jGNu1Lr5e7nauTEREpPhSABSHtXb_WYbNS-T8pRz8vdx587H6PNKovL3LEhERKfYUAMXh5OZZmBK_nw9XHwKgdtkgYqMaU7VMgJ0rExERcQwKgOJQTqde5oU529h89CIAfZtX5PWH6-DjqSlfERGRm6UAKA5j1R9nGP5NIhczzQR4ezCpR30eblDO3mWJiIg4HAVAKfbMeRbeXbmPT9YeBqBe-SBio5pQqZS_nSsTERFxTAqAUqydvJjJ0Dnb2HY8BYAB91Zm9EO18PbQlK-IiMjtUgCUYuvH3UmMXLCD1MtmAn08mPx4AzrVK2vvskRERByeAqAUOzm5Ft76YS8zfz0KQMOIEszo05iIED_7FiYiIuIkFAClWDl-PpOYOQnsOJkKwDOtqvByp1p4ebjZuTIRERHnoQAoxcbynacZtWAH6dm5BPt68t4TDWlfJ8zeZYmIiDgdhzytsnbtWrp27Uq5cuUwmUwsWbLEus1sNjNq1Cjq16-Pv78_5cqV46mnnuLUqVP5xqhcuTImkynf16RJk2zciQBkmfN4fckunp-dQHp2LndXKsnyF-9X-BMRESkiDhkAL126RMOGDYmNjb1qW2ZmJgkJCbz--uskJCSwaNEi9u3bR7du3a7ad8KECZw-fdr6NXToUFuUL39z9Pwlenz0G19vPAbAc62rMffZFpQv4WvnykRERJyXQ04Bd-7cmc6dOxe4LTg4mPj4-HzrZsyYQbNmzTh-_DgVK1a0rg8MDCQ8PLxIa5VrSzhn4tUPN3IpJ48Qfy-m9GxIm5qh9i5LRETE6TlkALxVqampmEwmSpQokW_9pEmTmDhxIhUrViQqKophw4bh4XHtb0l2djbZ2dnW5bS0NOCvaWez2VyoNV8Zr7DHLQ6yzHlMWLaX-QfcgTyaVi7JlCfqEx7k4zT9OvPzd4Wz96j-HJ-z96j-7nxsV2YyDMOwdxF3wmQysXjxYrp3717g9qysLO677z5q1arF7NmzreunTJlCkyZNCAkJ4bfffmP06NEMHDiQKVOmXPNY48aNY_z48Vetj4uLw89Ptyi5GcmXYeZ-d05nmjBh0KG8QacIC-4me1cmIiKuIjMzk6ioKFJTUwkKCrJ3OXbh1AHQbDbTo0cPTp48yerVq6_7JH_xxRf861__IiMjA29v7wL3KegMYEREBOfOnSv0HyCz2Ux8fDwdOnTA09OzUMe2lyWJpxj73V4yc_Io5e9Jr4pZxDzR3mn6-ztnfP7-ydl7VH-Oz9l7VH-3Ly0tjdKlS7t0AHTaKWCz2UzPnj05duwYv_zyyw2f4ObNm5Obm8vRo0epWbNmgft4e3sXGA49PT2L7MVXlGPbSmZOLmO_3c38rScBuLdaKSb3qMeWdT87RX_X4-z9gfP3qP4cn7P3qP5ub0xX55QB8Er4O3DgAKtWraJUqVI3fExiYiJubm6EhuoihMK0Pzmd6NkJHDiTgZsJXmxXg5gHq2PJy7V3aSIiIi7LIQNgRkYGBw8etC4fOXKExMREQkJCKFu2LI8__jgJCQksW7aMvLw8kpKSAAgJCcHLy4sNGzawadMm2rZtS2BgIBs2bGDYsGH069ePkiVL2qstp2IYBvO3nGTM0l1kmS2EBnoztXdjWlb7K4xb8uxcoIiIiAtzyAC4ZcsW2rZta10ePnw4AP3792fcuHEsXboUgEaNGuV73KpVq2jTpg3e3t7MnTuXcePGkZ2dTZUqVRg2bJh1HLkzl7Jz-c_inSxJ_Ovm2_ffVZr3ezWidEDB760UERER23LIANimTRuud-3Kja5radKkCRs3bizssgTYcyqNmLgEDp-7hLubieEdajCkdTXc3HSZr4iISHHhkAFQih_DMIj7_Tjjv9tDTq6F8CAfpkc1pmnlEHuXJiIiIv-gACh3LD3LzOhFO1m24zQAbWuW4b2ejQjx97JzZSIiIlIQBUC5I7v-TCU6LoFj5zPxcDPxcqeaPNOqqqZ8RUREijEFQLkthmHw1YZjvPH9XnLyLJQv4cu0Po25u5KuohYRESnuFADllqVeNjNqwQ5W7P7r9jod6oQx-fEGlPDTlK-IiIgjUACUW5J4IoWYuAROXryMp7uJ0Z1rM_C-yphMmvIVERFxFAqAclMMw-Dz9Ud4e8UfmPMMIkJ8mdGnCQ0jSti7NBEREblFCoByQymZOYyYv52f9p4BoHO9cCb1aECwrz5LUURExBEpAMp1bT12gaFx2ziVmoWXuxuvP1ybfi0qacpXRETEgSkASoEsFoNP1x1m8sp95FkMKpfyY0ZUE-qVD7Z3aSIiInKHFADlKuczsnlp_nZW7zsLQNeG5Xjz0XoE-mjKV0RExBkoAEo-vx-5wNA5CSSnZePt4ca4bnXp3TRCU74iIiJORAFQgL-mfD9cfZAp8fuxGFC1jD-xUU2oXTbI3qWJiIhIIVMAFM6mZzP8m0TWHTgHwGONyzOxez38vfXjISIi4oz0F97F_XbwHC_OS-RsejY-nm5MeKQeT9xdQVO-IiIiTkwB0EXlWQym_XyAab8cwDDgrtAAPuzbhLvCAu1dmoiIiBQxBUAXdCYtixfmbmPj4QsA9LynAuO71cPXy93OlYmIiIgtKAC6mLX7zzJsXiLnL-Xg5-XOG4_W49HGFexdloiIiNiQAqCLyM2z8P5P-_lw9SEMA2qFBxLbtwnVygTYuzQRERGxMQVAF3A69TIvzknk96N_TflGNa_ImIfr4OOpKV8RERFXpADo5Fb9cYbh3yRyMdNMgLcHbz1Wn64Ny9m7LBEREbEjBUAnZc6z8O7KfXyy9jAA9coHMaNPEyqX9rdzZSIiImJvCoBO6M-UywyNSyDheAoA_VtW4tUutfH20JSviIiIKAA6nfg9yYyYv53Uy2YCfTx4p0cDOtcva--yREREpBhRAHQSObkWJv3wB1_8egSAhhWCmRHVhIgQPztXJiIiIsWNAqATOHEhk5i4BLafTAVgUKsqjOpUCy8PNztXJiIiIsWRAqCD-2HnaV5euIP0rFyCfT1594mGdKgTZu-yREREpBhTAHRQWeY83ly-l682HAOgScUSTOvTmAolNeUrIiIi16cA6ICOnrtEdFwCu0-lAfCv1lUZEVkTT3dN-YqIiMiNKQA6mKXbT_Hqop1kZOdS0s-TKT0b0bZWqL3LEhEREQeiAOggssx5jP9uD3N-Pw5As8ohTO3TiLLBvnauTERERByNQ84Zrl27lq5du1KuXDlMJhNLlizJt90wDMaMGUPZsmXx9fWlffv2HDhwIN8-Fy5coG_fvgQFBVGiRAkGDRpERkaGDbu4eYfOZtA99lfm_H4ckwli2lYnbnBzhT8RERG5LQ4ZAC9dukTDhg2JjY0tcPs777zDtGnT-Pjjj9m0aRP-_v507NiRrKws6z59-_Zl9-7dxMfHs2zZMtauXcuzzz5rqxZu2reJp-g6fT1_JKVTOsCLr55uxoiONfHQ-_1ERETkNjnkFHDnzp3p3LlzgdsMw-CDDz7gtdde45FHHgHgq6--IiwsjCVLltC7d2_27t3LihUr2Lx5M_fccw8A06dP56GHHuLdd9-lXLlyNuvlWjJzcok76MamDbsAaFm1FFN7NyI0yMfOlYmIiIijc8gAeD1HjhwhKSmJ9u3bW9cFBwfTvHlzNmzYQO_evdmwYQMlSpSwhj-A9u3b4-bmxqZNm3j00UcLHDs7O5vs7GzrclraX1fhms1mzGZzofVwIDmDofMSOXTWDRMwtG01nm9TFXc3U6Eex56u9OEs_fyTs_cHzt-j-nN8zt6j-rvzsV2Z0wXApKQkAMLC8t8MOSwszLotKSmJ0ND8V856eHgQEhJi3acgb731FuPHj79q_Y8__oifX-Hdf-_L_W4cOu9GkKfBU3dZqJa1j5Ur9hXa-MVJfHy8vUsoUs7eHzh_j-rP8Tl7j-rv1mVmZhb6mI7G6QJgURo9ejTDhw-3LqelpREREUFkZCRBQUGFdpz72pr57_d7udvjJD26dMDT07PQxi4uzGYz8fHxdOig_hyVs_eo_hyfs_eo_m7flRk8V-Z0ATA8PByA5ORkypYta12fnJxMo0aNrPucOXMm3-Nyc3O5cOGC9fEF8fb2xtvb-6r1np6ehfrDWdrTk8mPN2D58pOFPnZxo_4cn7P3qP4cn7P3qP5ub0xX53SXklapUoXw8HB-_vln67q0tDQ2bdpEy5YtAWjZsiUpKSls3brVus8vv_yCxWKhefPmNq9ZRERExJYc8gxgRkYGBw8etC4fOXKExMREQkJCqFixIv_-97_573__y1133UWVKlV4_fXXKVeuHN27dwegdu3adOrUicGDB_Pxxx9jNpuJiYmhd-_exeIKYBEREZGi5JABcMuWLbRt29a6fOV9ef3792fWrFm8_PLLXLp0iWeffZaUlBRatWrFihUr8PH5v1uozJ49m5iYGNq1a4ebmxs9evRg2rRpNu9FRERExNYcMgC2adMGwzCuud1kMjFhwgQmTJhwzX1CQkKIi4srivJEREREijWnew-giIiIiFyfAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjEN-EkhxceXTSNLS0gp9bLPZTGZmJmlpaXh6ehb6-Pam_hyfs_eo_hyfs_eo_m7flb_b1_tUMWenAHgH0tPTAYiIiLBzJSIiInKr0tPTCQ4OtncZdmEyXDn-3iGLxcKpU6cIDAzEZDIV6thpaWlERERw4sQJgoKCCnXs4kD9OT5n71H9OT5n71H93T7DMEhPT6dcuXK4ubnmu-F0BvAOuLm5UaFChSI9RlBQkFO-sK9Qf47P2XtUf47P2XtUf7fHVc_8XeGasVdERETEhSkAioiIiLgYBcBiytvbm7Fjx-Lt7W3vUoqE-nN8zt6j-nN8zt6j-pM7oYtARERERFyMzgCKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjALgHXjrrbdo2rQpgYGBhIaG0r17d_bt25dvn6ysLKKjoylVqhQBAQH06NGD5ORk6_bt27fTp08fIiIi8PX1pXbt2kydOvWqY61evZomTZrg7e1N9erVmTVr1g3r27FjB_fffz8-Pj5ERETwzjvvOFWPR48exWQyXfW1cePGYtff6dOniYqKokaNGri5ufHvf__7puo7fvw4Xbp0wc_Pj9DQUEaOHElubu5N9-cIPRb0HM6dO7fY9bdo0SI6dOhAmTJlCAoKomXLlqxcufKG9d3p67A491cYr0Fb9rh-_Xruu-8-SpUqha-vL7Vq1eL999-_YX2O8hzeTn-O9Hv073799Vc8PDxo1KjRDesrjL-FTsmQ29axY0dj5syZxq5du4zExETjoYceMipWrGhkZGRY93nuueeMiIgI4-effza2bNlitGjRwrj33nut2z___HPjhRdeMFavXm0cOnTI-Prrrw1fX19j-vTp1n0OHz5s-Pn5GcOHDzf27NljTJ8-3XB3dzdWrFhxzdpSU1ONsLAwo2_fvsauXbuMOXPmGL6-vsYnn3ziND0eOXLEAIyffvrJOH36tPUrJyen2PV35MgR44UXXjC-_PJLo1GjRsaLL754w9pyc3ONevXqGe3btze2bdtmLF--3ChdurQxevTom-6vuPdoGIYBGDNnzsz3HF6-fLnY9ffiiy8ab7_9tvH7778b-_fvN0aPHm14enoaCQkJ16ytMF6Hxbm_wngN2rLHhIQEIy4uzti1a5dx5MgR4-uvvzb8_Pyu-3w40nN4O_050u_RKy5evGhUrVrViIyMNBo2bHjd2grrb6EzUgAsRGfOnDEAY82aNYZhGEZKSorh6elpzJ8_37rP3r17DcDYsGHDNcd5_vnnjbZt21qXX375ZaNu3br59unVq5fRsWPHa47x4YcfGiVLljSys7Ot60aNGmXUrFnzlvv6u-LU45VfXNu2bbvNbq5WVP39XevWrW8qHC1fvtxwc3MzkpKSrOs--ugjIygoKN_zequKU4-G8VcAXLx48U3XfyO26O-KOnXqGOPHj7_m9qJ4HRan_oriNWgYtu3x0UcfNfr163fN7Y7-HN6oP0f8PdqrVy_jtddeM8aOHXvDAFhUfwudgaaAC1FqaioAISEhAGzduhWz2Uz79u2t-9SqVYuKFSuyYcOG645zZQyADRs25BsDoGPHjtcdY8OGDTzwwAN4eXnle8y-ffu4ePHirTX2j9qgePR4Rbdu3QgNDaVVq1YsXbr0lvopqC4o_P5ux4YNG6hfvz5hYWHWdR07diQtLY3du3ff9rjFqccroqOjKV26NM2aNeOLL77AuIPbk9qqP4vFQnp6-nX3KYrXYXHq74rCfA1eqQ2Kvsdt27bx22-_0bp162vu48jP4c30d4Wj_B6dOXMmhw8fZuzYsTdVS1H9LXQGHvYuwFlYLBb-_e9_c99991GvXj0AkpKS8PLyokSJEvn2DQsLIykpqcBxfvvtN-bNm8f3339vXZeUlJQvBFwZIy0tjcuXL-Pr63vVOElJSVSpUuWqx1zZVrJkSYfvMSAggPfee4_77rsPNzc3Fi5cSPfu3VmyZAndunUrVv3djmt9T65sux3FrUeACRMm8OCDD-Ln58ePP_7I888_T0ZGBi-88MItj2XL_t59910yMjLo2bPnNfcp7NdhceuvsF-DYJseK1SowNmzZ8nNzWXcuHE888wz16zHEZ_DW-nPkX6PHjhwgFdeeYV169bh4XFz8aUo_hY6CwXAQhIdHc2uXbtYv379bY-xa9cuHnnkEcaOHUtkZGQhVlc4iluPpUuXZvjw4dblpk2bcurUKSZPnnxbv7iKW39FoTj2-Prrr1v_3bhxYy5dusTkyZNvKwDaqr-4uDjGjx_Pt99-S2ho6G0f61YVt_4K-zUItulx3bp1ZGRksHHjRl555RWqV69Onz59bvt4t6K49ecov0fz8vKIiopi_Pjx1KhR47bHlv-jKeBCEBMTw7Jly1i1ahUVKlSwrg8PDycnJ4eUlJR8-ycnJxMeHp5v3Z49e2jXrh3PPvssr732Wr5t4eHh-a6WujJGUFBQgWfGrveYK9tuVXHssSDNmzfn4MGDN73_FUXd3-1wtOewsDRv3pyTJ0-SnZ19S4-zVX9z587lmWee4ZtvvrnqbQv_VJjPYXHsryC3-xoE2_VYpUoV6tevz-DBgxk2bBjjxo27Zk2O-BzeSn8FKY6_R9PT09myZQsxMTF4eHjg4eHBhAkT2L59Ox4eHvzyyy8F1lTYv0edir3fhOjILBaLER0dbZQrV87Yv3__VduvvPF1wYIF1nV__PHHVW983bVrlxEaGmqMHDmywOO8_PLLRr169fKt69Onz01dBPL3K7lGjx59y298Lc49FuSZZ54xGjdufNP726q_v7vVi0CSk5Ot6z755BMjKCjIyMrKuuHjryjOPRbkv__9r1GyZMmb3t-W_cXFxRk-Pj7GkiVLbqq2wngdFuf-CnKrr0HDsM_P6BXjx483KlWqdM3tjvYc_tO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Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '38275' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent + response: + body: + string: "{\n \"error\": {\n \"code\": 429,\n \"message\": \"Resource + exhausted. Please try again later. Please refer to https://cloud.google.com/vertex-ai/generative-ai/docs/error-code-429 + for more details.\",\n \"status\": \"RESOURCE_EXHAUSTED\"\n }\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 19:31:40 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=2162 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 429 + message: Too Many Requests version: 1 diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_mixed_files[gemini-gemini-2.5-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_mixed_files[gemini-gemini-2.5-flash].yaml new file mode 100644 index 000000000..9e61e0600 --- /dev/null +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_mixed_files[gemini-gemini-2.5-flash].yaml @@ -0,0 +1,143 @@ +interactions: +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What files do you see?\n\nProvide + your complete response:"}, {"inlineData": {"data": 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Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '38275' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"I see one main image file, which is + a line graph titled \\\"Revenue Over Time\\\". Additionally, I see four cropped + versions of this same image file, provided as hints. All of these are image + files.\"\n }\n ],\n \"role\": \"model\"\n },\n + \ \"finishReason\": \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": + {\n \"promptTokenCount\": 424,\n \"candidatesTokenCount\": 42,\n \"totalTokenCount\": + 619,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 166\n },\n {\n \"modality\": \"IMAGE\",\n + \ \"tokenCount\": 258\n }\n ],\n \"thoughtsTokenCount\": + 153\n },\n \"modelVersion\": \"gemini-2.5-flash\",\n \"responseId\": \"S0qOafPzOYi8_uMP25m7gAQ\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 21:46:51 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1764 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What files do you see?\n\nProvide + your complete response:"}, {"inlineData": {"data": 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ysoiOjqZUqVIEBATQo0cPkpOT841x_PhxunTpgp-fH6GhoYwcOZLc3FxbtyIiIiJicw4ZACtUqMCkSZPYunUrW7Zs4cEHH-SRRx5h9-7dAAwbNozvvvuO-fPns2bNGk6dOsVjjz1mfXxeXh5dunQhJyeH3377jS-__JJZs2YxZswYe7UkIiIiYjMO-VnAXbt2zbf8xhtv8NFHH7Fx40YqVKjA559_TlxcHA8--CAAM2fOpHbt2mzcuJEWLVrw448_smfPHn766SfCwsJo1KgREydOZNSoUYwbNw4vLy97tCUiIiJ_Yxj2rsB5OWQA_Lu8vDzmz5_PpUuXaNmyJVu3bsVsNtO-fXvrPrVq1aJixYps2LCBFi1asGHDBurXr09YWJh1n44dOzJkyBB2795N48aNCzxWdnY22dnZ1uW0tDTgrw-sNpvNhdrXlfEKe9ziQv05PmfvUf05Pmfv0dn723LkHG_vcKfmPalUDwsu1LGd9Xt2Kxw2AO7cuZOWLVuSlZVFQEAAixcvpk6dOiQmJuLl5UWJEiXy7R8WFkZSUhIASUlJ-cLfle1Xtl3LW2-9xfjx469a_-OPP-Ln53eHHRUsPj6-SMYtLtSf43P2HtWf43P2Hp2tP8OAVadNfHfcDYthYlTcBgbVtBTqMTIzMwt1PEfksAGwZs2aJCYmkpqayoIFC-jfvz9r1qwp0mOOHj2a4cOHW5fT0tKIiIggMjKSoKCgQj2W2WwmPj6eDh064OnpWahjFwfqz_E5e4_qz_E5e4_O2N_FzBxGLdrFqmPnAGgUYuGTZ1oTEuhbqMe5MoPnyhw2AHp5eVG9enUA7r77bjZv3szUqVPp1asXOTk5pKSk5DsLmJycTHh4OADh4eH8_vvv-ca7cpXwlX0K4u3tjbe391XrPT09i-zFV5RjFwfqz_E5e4_qz_E5e4_O0t-Woxd4Yc42TqVm4eXhxquda1Li7E5CAn0LvT9n-H7dKYe8CrggFouF7Oxs7r77bjw9Pfn555-t2_bt28fx48dp2bIlAC1btmTnzp2cOXPGuk98fDxBQUHUqVPH5rWLiIi4KovF4MPVB-n16UZOpWZRpbQ_i5-_l77NIjCZ7F2d83LIM4CjR4-mc-fOVKxYkfT0dOLi4li9ejUrV64kODiYQYMGMXz4cEJCQggKCmLo0KG0bNmSFi1aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wDN8IiIiUvjOZ2Qz_JvtrNl_FoBHGpXjjUfrE-DtoQs1iphDBsAzZ87w1FNPcfr0aYKDg2nQoAErV66kQ4cOALz__vu4ubnRo0cPsrOz6dixIx9--KH18e7u7ixbtowhQ4bQsmVL_P396d-_PxMmTLBXSyIiIi5l0-HzvDB3G8lp2Xh7uDG-W116NY3ApNN-NuGQAfDzzz-_7nYfHx9iY2OJjY295j6VKlVi-fLlhV2aiIiIXEeexeDDVQd5_6f9WAyoVsaf2L5NqBVeuBdTyvU5ZAAUERERx3M2PZt_z9vGrwfPA9CjSQUmdq-Ln5fiiK3pOy4iIiJF7teD53hxbiLnMrLx9XRnYvd6PH53BXuX5bIUAEVERKTI5FkMpv58gOm_HMAwoEZYALFRTbgrLNDepbk0BUAREREpEslpWbwwZxubjlwAoHfTCMZ2rYuvl7udKxMFQBERESl0a_afZfi8RM5fysHfy503H6vPI43K27ss-f8pAIqIiEihyc2z8F78fj5afQiA2mWDiI1qTNUyAXauTP5OAVBEREQKxamUy7wwZxtbjl0EoF-LirzWpQ4-npryLW4UAEVEROSO_fJHMsO_2U5KppkAbw8m9ajPww3K2bssuQYFQBEREblt5jwLk1fu49O1hwGoXz6YGVGNqVTK386VyfUoAIqIiMhtOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOVb3CkAioiIyC1buTuJkfO3k5aVS5CPB-883pBO9cLtXZbcJAVAERERuWk5uRbe-mEvM389CkDDiBLM6NOYiBA_-xYmt0QBUERERG7K8fOZxMxJYMfJVAAG31-FkR1r4eXhZufK5FYpAIqIiMgNLd95mlELdpCenUsJP0_efbwh7euE2bssuU0KgCIiInJNWeY83vh-L19vPAbA3ZVKMq1PY8qX8LVzZXInFABFRESkQEfOXSJ6dgJ7TqcBMKRNNYZ3qIGnu6Z8HZ0CoIiIiFzl28Q_eXXRTi7l5BHi78WUng1pUzPU3mVJIVEAFBEREasscx7jv9vNnN9PANCsSgjTejcmPNjHzpVJYVIAFBEREQAOnskgenYC-5LTMZkgpm11Xmx3Fx6a8nU6CoAiIiLCwq0neW3JLi6b8ygd4M0HvRrR6q7S9i5LiogCoIiIiAvLzMllzLe7WbD1JAD3VivFB70bERqoKV9npgAoIiLiovYnpxM9O4EDZzJwM8GL7WoQ82B13N1M9i5NipgCoIiIiIsxDINvtpxg7NLdZJkthAZ6M7V3Y1pWK2Xv0sRGFABFRERcSEZ2Lq8t3smSxFMA3H9Xad7v1YjSAd52rkxsSQFQRETERew5lUZMXAKHz13C3c3ES5E1eO6BarhpytflKACKiIg4OcMwiPv9OOO_20NOroWywT5M69OYppVD7F2a2IkCoIiIiBNLzzLzyqKdfL_jNAAP1grl3ScaEuLvZefKxJ4UAEVERJzUrj9TiY5L4Nj5TDzcTLzcqSbPtKqqKV9RABQREXE2hmHw5W9HeXP5H-TkWShfwpfpUY1pUrGkvUuTYkIBUERExImkXjYzasEOVuxOAqBDnTDefbwhwX6edq5MihMFQBERESeReCKFmLgETl68jKe7idGdazPwvsqYTJrylfwc8tOd33rrLZo2bUpgYCChoaF0796dffv2WbcfPXoUk8lU4Nf8-fOt-xW0fe7cufZoSURE5LYZhsH_W3eYxz_6jZMXLxMR4suC5-7l6VZVFP6kQA55BnDNmjVER0fTtGlTcnNzefXVV4mMjGTPnj34-_sTERHB6dOn8z3m008_ZfLkyXTu3Dnf-pkzZ9KpUyfrcokSJWzRgoiISKFIyTQzekkiP-09A8BD9cOZ1KMBQT6a8pVrc8gAuGLFinzLs2bNIjQ0lK1bt_LAAw_g7u5OeHh4vn0WL15Mz549CQgIyLe-RIkSV-0rIiLiCI6kw6QPN3A6NQsvDzdef7gO_ZpX1Fk_uSGHDID_lJqaCkBISME3tNy6dSuJiYnExsZetS06OppnnnmGqlWr8txzzzFw4MBrvnCys7PJzs62LqelpQFgNpsxm8132kY-V8Yr7HGLC_Xn-Jy9R_Xn-Jy5R4vF4NO1h5i2yx0LWVQu5cfUXg2oUzaI3Nxce5dXKIry-XPGn4lbZTIMw7B3EXfCYrHQrVs3UlJSWL9-fYH7PP_886xevZo9e_bkWz9x4kQefPBB_Pz8-PHHHxk7dizvvPMOL7zwQoHjjBs3jvHjx1-1Pi4uDj8_vztvRkRE5AYyzPC_g27sTfnrbfxNSlnoVc2Cj7udC3MgmZmZREVFkZqaSlBQkL3LsQuHD4BDhgzhhx9-YP369VSoUOGq7ZcvX6Zs2bK8_vrrvPTSS9cda8yYMcycOZMTJ04UuL2gM4ARERGcO3eu0H-AzGYz8fHxdOjQAU9P53sfh_pzfM7eo_pzfM7Y4-9HLzD8m50kp2fj7eFG94pmxvRth5eX832qR1E-f2lpaZQuXdqlA6BDTwHHxMSwbNky1q5dW2D4A1iwYAGZmZk89dRTNxyvefPmTJw4kezsbLy9va_a7u3tXeB6T0_PIvvlUpRjFwfqz_E5e4_qz_E5Q48Wi8GHqw8yJX4_FgOqlfFnas8GHEpYh5eXl8P3dz1F8fw58_frZjlkADQMg6FDh7J48WJWr15NlSpVrrnv559_Trdu3ShTpswNx01MTKRkyZIFhjwRERF7OJuezfBvEll34BwAjzUpz8RH6uHlZnDIzrWJ43LIABgdHU1cXBzffvstgYGBJCX9dbfz4OBgfH19rfsdPHiQtWvXsnz58qvG-O6770hOTqZFixb4-PgQHx_Pm2--yYgRI2zWh4iIyPX8dvAcL85L5Gx6Nr6e7kx4pC5P3BMB6EIGuTMOGQA_-ugjANq0aZNv_cyZMxkwYIB1-YsvvqBChQpERkZeNYanpyexsbEMGzYMwzCoXr06U6ZMYfDgwUVZuoiIyA3lWQym_nyA6b8cwDCgRlgAsVFNuCss0N6liZNwyAB4s9etvPnmm7z55psFbuvUqVO-G0CLiIgUB8lpWbw4dxsbD18AoNc9EYzrVhdfL13mK4XHIQOgiIiIM1q7_yzD5iVy_lIOfl7uvPlofbo3Lm_vssQJKQCKiIjYWW6ehfd_2s-Hqw9hGFC7bBCxUY2pWibgxg8WuQ0KgCIiInZ0OvUyL8zZxuajFwHo27wirz9cBx9PTflK0VEAFBERsZNVf5xh-DeJXMw0E-DtwaQe9Xm4QTl7lyUuQAFQRETExsx5Ft5duY9P1h4GoF75IGb0aULl0v52rkxchQKgiIiIDZ28mMnQOdvYdjwFgAH3Vmb0Q7Xw9tCUr9iOAqCIiIiN_Lg7iZELdpB62UygjweTH29Ap3pl7V2WuCAFQBERkSKWk2th0g9_8MWvRwBoWCGYGVFNiAjxs3Nl4qoUAEVERIrQiQuZxMQlsP1kKgDPtKrCy51q4eXhZufKxJUpAIqIiBSRH3ae5uWFO0jPyiXY15P3nmhI-zph9i5LRAFQRESksGWZ83hz-V6-2nAMgLsrlWRan8aUL-Fr58pE_qIAKCIiUoiOnLtETFwCu0-lAfBc62q8FFkDT3dN-UrxoQAoIiJSSJZuP8Wri3aSkZ1LiL8X7_VsSNuaofYuS-QqCoAiIiJ3KMucx_jv9jDn9-MANKscwrQ-jQkP9rFzZSIFUwAUERG5AwfPZBATl8AfSemYTBDTtjovtrsLD035SjGmACgiInKbFiWc5LUlu8jMyaN0gBfv92rE_XeVsXdZIjekACgiInKLMnNyGfvtbuZvPQlAy6qlmNq7EaFBmvIVx6AAKCIicgv2J6cTPTuBA2cycDPBi-1qEPNgddzdTPYuTeSmKQCKiIjcBMMwmL_1JGO-3UWW2UJooDdTezemZbVS9i5N5JYpAIqIiNzApexcXluyi8Xb_gTg_rtK836vRpQO8LZzZSK3RwFQRETkOvaeTiM6LoHDZy_h7mZieIcaDGldDTdN-YoDUwAUEREpgGEYzPn9BOO-201OroXwIB-mRzWmaeUQe5cmcscUAEVERP4hPcvMq4t38d32UwC0rVmG93o2IsTfy86ViRQOBUAREZG_2fVnKjFxCRw9n4mHm4mXO9XkmVZVNeUrTkUBUEREhL-mfL_acIw3vt9LTp6F8iV8mdanMXdXKmnv0kQKnQKgiIi4vNTLZl5ZuIMfdiUB0L52GO8-0YASfpryFeekACgiIi5t-4kUYuYkcOLCZTzdTYzuXJuB91XGZNKUrzgvBUAREXFJhmHwxa9HmfTDXsx5BhEhvszo04SGESXsXZpIkVMAFBERl5OSmcOI-Tv4aW8yAJ3rhTOpRwOCfT3tXJmIbSgAioiIS9l67CIvzNnGnymX8XJ34_WHa9OvRSVN-YpLUQAUERGXYLEYfLbuMJNX7iPXYlC5lB8zoppQr3ywvUsTsTk3exdwO9566y2aNm1KYGAgoaGhdO_enX379uXbp02bNphMpnxfzz33XL59jh8_TpcuXfDz8yM0NJSRI0eSm5try1ZERMQGLlzKYdCXm3nrhz_ItRh0bViO74a2UvgTl-WQZwDXrFlDdHQ0TZs2JTc3l1dffZXIyEj27NmDv7-_db_BgwczYcIE67Kfn5_133l5eXTp0oXw8HB---03Tp8-zVNPPYWnpydvvvmmTfsREZGis_noRYbP30lSWhbeHm6M61aX3k0jNOUrLs0hA-CKFSvyLc-aNYvQ0FC2bt3KAw88YF3v5-dHeHh4gWP8-OOP7Nmzh59--omwsDAaNWrExIkTGTVqFOPGjcPLS_d-EhFxZBaLwY8nTazYtIU8i0HVMv7ERjWhdtkge5cmYncOGQD_KTU1FYCQkPwf0D179mz-97__ER4eTteuXXn99detZwE3bNhA_fr1CQsLs-7fsWNHhgwZwu7du2ncuPFVx8nOziY7O9u6nJaWBoDZbMZsNhdqT1fGK-xxiwv15_icvUf159jOZ2Tz0vwd_HrCHTDo3rAs47rWxt_bw2l6dvbnsCj7c9bv2a0wGYZh2LuIO2GxWOjWrRspKSmsX7_euv7TTz-lUqVKlCtXjh07djBq1CiaNWvGokWLAHj22Wc5duwYK1eutD4mMzMTf39_li9fTufOna861rhx4xg_fvxV6-Pi4vJNL4uIiP0cSDXx1QE30swmPN0MHq9ioXkZA834yhWZmZlERUWRmppKUJBrnhF2-DOA0dHR7Nq1K1_4g78C3hX169enbNmytGvXjkOHDlGtWrXbOtbo0aMZPny4dTktLY2IiAgiIyML_QfIbDYTHx9Phw4d8PR0vvtSqT_H5-w9qj_Hk2cx-HD1YT7ceAiLAdXL-PN4uVSeesR5evw7Z3wO_64o-7syg-fKHDoAxsTEsGzZMtauXUuFChWuu2_z5s0BOHjwINWqVSM8PJzff_893z7JyX_dEPRa7xv09vbG29v7qvWenp5F9uIryrGLA_Xn-Jy9R_XnGM6kZfHi3EQ2HD4PQM97KvBa55qs-mml0_R4Lerv9sZ0dQ55GxjDMIiJiWHx4sX88ssvVKlS5YaPSUxMBKBs2bIAtGzZkp07d3LmzBnrPvHx8QQFBVGnTp0iqVtERArfugNneWjaOjYcPo-flzvv92rIO483xNfL3d6liRRbDnkGMDo6mri4OL799lsCAwNJSkoCIDg4GF9fXw4dOkRcXBwPPfQQpUqVYseOHQwbNowHHniABg0aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wLN8IiJSvOTmWfjgpwPErj6IYUCt8EBi-zahWpkAe5cmUuw5ZAD86KOPgL9u9vx3M2fOZMCAAXh5efHTTz_xwQcfcOnSJSIiIujRowevvfaadV93d3eWLVvGkCFDaNmyJf7-_vTv3z_ffQNFRKR4Op16mRfnJPL70QsARDWvyJiH6-DjqbN-IjfDIQPgjS5cjoiIYM2aNTccp1KlSixfvrywyhIRERtYte8Mw-clcjHTTIC3B289Vp-uDcvZuywRh-KQAVBERFyPOc_Cuz_u45M1hwGoVz6IGX2aULm0_w0eKSL_pAAoIiLF3p8plxkal0DC8RQA-resxKtdauPtoSlfkduhACgiIsVa_J5kRszfTuplM4E-HrzTowGd65e1d1kiDk0BUEREiqWcXAtvr_iDz9cfAaBhhWBmRDUhIkSfvCRypxQARUSk2DlxIZOYOdvYfiIFgEGtqjCqUy28PBzy9rUixY4CoIiIFCsrdp1m5IIdpGflEuzrybtPNKRDnTB7lyXiVBQARUSkWMjOzePN7_fy5YZjADSpWILpUU0oX8LXzpWJOB8FQBERsbuj5y4RMyeBXX-mAfCv1lUZEVkTT3dN-YoUBQVAERGxq--2n2L0op1kZOdS0s-TKT0b0bZWqL3LEnFqCoAiImIXWeY8JizbQ9ym4wA0qxzC1D6NKBusKV-RoqYAKCIiNnfobAbRsxP4Iykdkwmi21Tn3-3vwkNTviI2oQAoIiI2tXjbSf6zeBeZOXmUDvDi_V6NuP-uMvYuS8SlKACKiIhNXM7JY-zSXXyz5SQALauWYmrvRoQG-di5MhHXowAoIiJF7kByOtFxCexPzsBkghfb3cXQB-_C3c1k79JEXJICoIiIFBnDMJi_9SRjvt1FltlCmUBvpvZuxL3VStu7NBGXpgAoIiJF4lJ2Lq8v2cWibX8CcP9dpXm_VyNKB3jbuTIRUQAUEZFCt_d0GjFxCRw6ewk3E7wUWZMhravhpilfkWJBAVBERAqNYRjM-f0E47_bTXauhfAgH6b1aUyzKiH2Lk1E_kYBUERECkV6lplXF-_iu-2nAGhTswxTejYixN_LzpWJyD8pAIqIyB3b9WcqMXEJHD2fiYebiZEdazL4_qqa8hUpphQARUTkthmGwf82HmPisr3k5FkoX8KXaX0ac3elkvYuTUSuQwFQRERuS1qWmVcW7mD5ziQA2tcO490nGlDCT1O-IsWdAqCIiNyy7SdSiJmTwIkLl_F0N_FK59o8fV9lTCZN-Yo4AgVAERG5aYZhMPPXo7z1w17MeQYRIb7M6NOEhhEl7F2aiNwCBUAREbkpKZk5jFywg_g9yQB0rhfOpB4NCPb1tHNlInKrFABFROSGEo5fZGjcNv5MuYyXuxuvPVybJ1tU0pSviINSABQRkWuyWAw-W3eYySv3kWsxqFTKj9ioJtQrH2zv0kTkDigAiohIgS5cymHE_O388scZAB5uUJa3HqtPoI-mfEUcnQKgiIhcZfPRCwyN20ZSWhbeHm6M7VqXPs0iNOUr4iQUAEVExMpiMfhozSGmxO8nz2JQtYw_sVFNqF02yN6liUghUgAUEREAzmVkM2xeIusOnAPgscblmdi9Hv7e-lMh4mzcbHkws9nMiRMn2LdvHxcuXLjtcd566y2aNm1KYGAgoaGhdO_enX379lm3X7hwgaFDh1KzZk18fX2pWLEiL7zwAqmpqfnGMZlMV33NnTv3tusSEXFUGw6d56Gp61h34Bw-nm6883gD3uvZUOFPxEkV-Ss7PT2d__3vf8ydO5fff_-dnJwcDMPAZDJRoUIFIiMjefbZZ2natOlNj7lmzRqio6Np2rQpubm5vPrqq0RGRrJnzx78_f05deoUp06d4t1336VOnTocO3aM5557jlOnTrFgwYJ8Y82cOZNOnTpZl0uUKFFYrYuIFHt5FoMPfzrA1J_3YzHgrtAAYvs2oUZYoL1LE5EiVKQBcMqUKbzxxhtUq1aNrl278uqrr1KuXDl8fX25cOECu3btYt26dURGRtK8eXOmT5_OXXfddcNxV6xYkW951qxZhIaGsnXrVh544AHq1avHwoULrdurVavGG2-8Qb9-_cjNzcXD4__aLlGiBOHh4YXXtIiIg0jLgYFfbmXD4b9mZHreU4Hx3erh6-Vu58pEpKgVaQDcvHkza9eupW7dugVub9asGU8__TQff_wxM2fOZN26dTcVAP_pytRuSEjIdfcJCgrKF_4AoqOjeeaZZ6hatSrPPfccAwcOvOZVbtnZ2WRnZ1uX09LSgL-mts1m8y3XfT1XxivscYsL9ef4nL1HZ-9vzb5k3t7hTob5An5e7ozvWpvujcoBFsxmi73LKxTO_hyqvzsf25WZDMMw7F3EnbBYLHTr1o2UlBTWr19f4D7nzp3j7rvvpl-_frzxxhvW9RMnTuTBBx_Ez8-PH3_8kbFjx_LOO-_wwgsvFDjOuHHjGD9-_FXr4-Li8PPzK5yGRESKUJ4BK064Ef-nCQMTZf0MBtbII8zX3pWJ2E5mZiZRUVHWk0OuyOED4JAhQ_jhhx9Yv349FSpUuGp7WloaHTp0ICQkhKVLl-Lpee0bmI4ZM4aZM2dy4sSJArcXdAYwIiKCc-fOFfoPkNlsJj4-ng4dOly3Zkel_hyfs_fojP0lpWUxfP5ONh-9CMC9YRZmPN2GQD8fO1dWNJzxOfw79Xf70tLSKF26tEsHwCK_COTpp5--qf2--OKLWx47JiaGZcuWsXbt2gLDX3p6Op06dSIwMJDFixff8AeoefPmTJw4kezsbLy9va_a7u3tXeB6T0_PInvxFeXYxYH6c3zO3qOz9Ld63xmGf7OdC5dyCPD2YGK32rid3Eagn49T9Hc9zvIcXov6u70xXV2RB8BZs2ZRqVIlGjduTGGdbDQMg6FDh7J48WJWr15NlSpVrtonLS2Njh074u3tzdKlS_HxufH_cBMTEylZsmSBIU9ExBGZ8yy89-N-Pl5zCIC65YKIjWpC-WAvlp_cZufqRMReijwADhkyhDlz5nDkyBEGDhxIv379rnuxxs2Ijo4mLi6Ob7_9lsDAQJKSkgAIDg7G19eXtLQ0IiMjyczM5H__-x9paWnWCzbKlCmDu7s73333HcnJybRo0QIfHx_i4-N58803GTFixB33LCJSHPyZcpkX5mxj67G_pnz7t6zE6Idq4-PprjfBi7i4Ir8RdGxsLKdPn-bll1_mu---IyIigp49e7Jy5crbPiP40UcfkZqaSps2bShbtqz1a968eQAkJCSwadMmdu7cSfXq1fPtc-X9fZ6ensTGxtKyZUsaNWrEJ598wpQpUxg7dmyh9S4iYi8_7Ummy7R1bD12kUAfDz7q24Txj9TDx1O3eBERG30UnLe3N3369KFPnz4cO3aMWbNm8fzzz5Obm8vu3bsJCAi4pfFuFBzbtGlzw306deqU7wbQIiLOICfXwjsr_uD_rT8CQMMKwUzv04SKpXSnAhH5Pzb_jB83NzdMJhOGYZCXl2frw4uIOK0TFzKJmbON7SdSAHj6viq80rkWXh42_dRPEXEANvmtkJ2dzZw5c-jQoQM1atRg586dzJgxg-PHj9_y2T8REbnail1JPDRtHdtPpBDs68lnT93DmK51FP5EpEBFfgbw-eefZ-7cuURERPD0008zZ84cSpcuXdSHFRFxCdm5eby1_A9m_XYUgCYVSzCtT2MqlNSUr4hcW5EHwI8__piKFStStWpV1qxZw5o1awrcb9GiRUVdioiIUzl2_hIxcdvY-edfH4f5r9ZVGRFZE093nfUTkesr8gD41FNPXfOzdUVE5PYs23GKVxbuJCM7l5J-nkzp2Yi2tULtXZaIOAib3AhaREQKR5Y5j4nL9jB703EAmlYuybQ-jSkbrA_zFZGbZ_OrgEVE5PYcOptB9OwE_khKx2SC6DbV-Xf7u_DQlK-I3CKb_NY4c-YMJ0-etC7n5uby2muv0bp1a1566SUyMzNtUYaIiMNasu1Puk5fzx9J6ZTy9-Krp5sxomNNhT8RuS02-c0xePBgvvzyS-vy5MmT-eyzz2jatClLly5l2LBhtihDRMThXM7JY9SCHfx7XiKZOXm0rFqKH168n_vvKmPv0kTEgdkkAO7YsYO2bdtal7_--mumTZvGu---y9y5c_nuu-9sUYaIiEM5kJzOI7HrmbflBCYTvNjuLv73THNCg3zsXZqIOLgifQ_gwIEDATh16hRTpkzhs88-Iycnh3379rF48WJWrlyJxWLhzJkzPP300wB88cUXRVmSiIhDmL_lBGO-3c1lcx5lAr2Z2qsR91bXPVRFpHAUaQCcOXMmAGvXrmXQoEF07tyZefPmsXPnTubOnQvA-fPnWbp0qYKfiAhwKTuX17_dxaKEPwG4_67STOnZiDKB3nauTESciU2uAu7SpQtPP_003bp1Y8mSJbz88svWbb___jt16tSxRRkiIsXaH0lpRM9O4NDZS7iZ4KXImgxpXQ03N91LVUQKl00C4DvvvENwcDCJiYkMGzYs30UfmzZt4rnnnrNFGSIixZJhGMzbfIKxS3eTnWshPMiHaX0a06xKiL1LExEnZZMA6OPjw8SJEwvcNm7cOFuUICJSLGVk5_Lqop0s3X4KgDY1yzClZyNC_L3sXJmIODPdCFpExE52_ZlKTFwCR89n4u5m4uWONRl8f1VN-YpIkSvS28B06tSJjRs33nC_9PR03n77bWJjY4uyHBGRYsEwDL7ecJTHPvqNo-czKRfswzf_asm_9H4_EbGRIj0D-MQTT9CjRw-Cg4Pp2rUr99xzD-XKlcPHx4eLFy-yZ88e1q9fz_Lly-nSpQuTJ08uynJEROwuLcvMKwt3sHxnEgDta4fx7hMNKOGnKV8RsZ0iDYCDBg2iX79-zJ8_n3nz5vHpp5-SmpoKgMlkok6dOnTs2JHNmzdTu3btoixFRMTudpxMISZuG8cvZOLpbmJUp1oMalUFk0ln_UTEtor8PYDe3t7069ePfv36AZCamsrly5cpVaoUnp6eRX14ERG7MwyDmb8e5a0f9mLOM6hQ0pcZUU1oFFHC3qWJiIuy-UUgwcHBBAcH2_qwIiJ2kZppZuSC7fy4JxmATnXDefvxBgT76j_AImI_ugpYRKSIbDt-kZi4bfyZchkvdzdee7g2T7aopClfEbE7BUARkUJmsRh8vv4Ib6_4g1yLQaVSfsRGNaFeec1-iEjxoAAoIlKILl7K4aX52_nljzMAPNygLG89Vp9AH035ikjxoQAoIlJIthy9wNA52zidmoWXhxvjutalT7MITfmKSLFj0wCYkpLCggULOHToECNHjiQkJISEhATCwsIoX768LUsRESk0FovBR2sOMSV-P3kWg6ql_Ynt24TaZYPsXZqISIFsFgB37NhB-_btCQ4O5ujRowwePJiQkBAWLVrE8ePH-eqrr2xViohIoTmXkc3wb7azdv9ZAB5tXJ7_dq-Hv7cmWESk-CrSj4L7u-HDhzNgwAAOHDiAj4-Pdf1DDz3E2rVrbVWGiEih2Xj4PA9NXcfa_Wfx8XTjnccbMKVnQ4U_ESn2bPZbavPmzXzyySdXrS9fvjxJSUm2KkNE5I7lWQxm_HKQqT_vx2LAXaEBxPZtQo2wQHuXJiJyU2wWAL29vUlLS7tq_f79-ylTpoytyhARuSNn0rMYNi-RXw-eB-CJuysw_pG6-HnprJ-IOA6bTQF369aNCRMmYDabgb8-C_j48eOMGjWKHj162KoMEZHb9uvBczw0dT2_HjyPn5c7U3o2ZPITDRX-RMTh2CwAvvfee2RkZBAaGsrly5dp3bo11atXJzAwkDfeeOOWxnrrrbdo2rQpgYGBhIaG0r17d_bt25dvn6ysLKKjoylVqhQBAQH06NGD5OTkfPscP36cLl264OfnR2hoKCNHjiQ3N_eOexUR55KbZ2HKj_vo9_kmzmVkUys8kKUxrXisSQV7lyYiclts9t_W4OBg4uPjWb9-PTt27CAjI4MmTZrQvn37Wx5rzZo1REdH07RpU3Jzc3n11VeJjIxkz549-Pv7AzBs2DC-__575s-fT3BwMDExMTz22GP8-uuvAOTl5dGlSxfCw8P57bffOH36NE899RSenp68-eabhdq7iDiu5LQshi_Yxe9HLgDQp1lFxnatg4-nu50rExG5fTaft2jVqhWtWrW6ozFWrFiRb3nWrFmEhoaydetWHnjgAVJTU_n888-Ji4vjwQcfBGDmzJnUrl2bjRs30qJFC3788Uf27NnDTz_9RFhYGI0aNWLixImMGjWKcePG4eXldUc1iojj23vRxLjYDVzMNOPv5c5bPRrQrWE5e5clInLHbBYAJ0yYcN3tY8aMue2xU1NTAQgJCQFg69atmM3mfGcXa9WqRcWKFdmwYQMtWrRgw4YN1K9fn7CwMOs-HTt2ZMiQIezevZvGjRtfdZzs7Gyys7Oty1cuajGbzdb3NhaWK-MV9rjFhfpzfM7cY26ehffi9_P__nAHzNQpG8jUXg2oXMrfafp15ufvCmfvUf3d-diuzGQYhmGLA_0zUJnNZo4cOYKHhwfVqlUjISHhtsa1WCx069aNlJQU1q9fD0BcXBwDBw7MF9YAmjVrRtu2bXn77bd59tlnOXbsGCtXrrRuz8zMxN_fn-XLl9O5c-erjjVu3DjGjx9_1fq4uDj8_Pxuq34RKV4uZsOXB9w5kv7Xx7fdH2bhkcoWPG32jmkRKWqZmZlERUWRmppKUJBrfmKPzc4Abtu27ap1aWlpDBgwgEcfffS2x42OjmbXrl3W8FeURo8ezfDhw63LaWlpREREEBkZWeg_QGazmfj4eDp06ICnp_N9iLz6c3zO2OMv-87ywcJdpFw2E-DtzhOVchjZu73T9Pd3zvj8_ZOz96j-bl9Bt6VzNXa9d0FQUBDjx4-na9euPPnkk7f8-JiYGJYtW8batWupUOH_rsYLDw8nJyeHlJQUSpQoYV2fnJxMeHi4dZ_ff_8933hXrhK-ss8_eXt74-3tfdV6T0_PInvxFeXYxYH6c3zO0GNOroV3VvzB_1t_BICGFYKZ8kR9dm1c7RT9XY-z9wfO36P6u70xXZ3dJzVSU1Ot7-G7WYZhEBMTw-LFi_nll1-oUqVKvu133303np6e_Pzzz9Z1-_bt4_jx47Rs2RKAli1bsnPnTs6cOWPdJz4-nqCgIOrUqXMHHYmIIzlxIZOen2ywhr-n76vC_OfupWKI3tYhIs7LZmcAp02blm_ZMAxOnz7N119_XeD77a4nOjqauLg4vv32WwIDA60fJRccHIyvry_BwcEMGjSI4cOHExISQlBQEEOHDqVly5a0aNECgMjISOrUqcOTTz7JO--8Q1JSEq-99hrR0dEFnuUTEeezcncSI-dvJy0rlyAfD959oiGRdf-aATCb8-xcnYhI0bFZAHz__ffzLbu5uVGmTBn69-_P6NGjb2msjz76CIA2bdrkWz9z5kwGDBhgPZ6bmxs9evQgOzubjh078uGHH1r3dXd3Z9myZQwZMoSWLVvi7-9P__79b3i1sog4vuzcPN5a_gezfjsKQOOKJZjepzEVSuqsn4i4BpsFwCNHjhTaWDdz4bKPjw-xsbHExsZec59KlSqxfPnyQqtLRIq_Y-cvERO3jZ1__vXWk389UJURHWvi6W73d8SIiNiMPsBSRFzG9ztO88rCHaRn51LSz5P3ejbkwVphN36giIiTsVkAvHTpEpMmTeLnn3_mzJkzWCyWfNsPHz5sq1JExMVkmfP47_d7-N_G4wA0rVySaX0aUzbY186ViYjYh80C4DPPPMOaNWt48sknKVu2LCaTyVaHFhEXdvhsBtFx29h7Og2TCZ5vU41h7WvgoSlfEXFhNguAP_zwA99__z333XefrQ4pIi7u28Q_eXXRTi7l5FHK34v3ezXigRpl7F2WiIjd2SwAlixZ0vpZvSIiRelyTh7jv9vN3M0nAGhRNYSpvRsTFuRj58pERIoHm82BTJw4kTFjxpCZmWmrQ4qICzp4Jp3usb8yd_MJTCZ4sd1dzH6mhcKfiMjf2OwM4HvvvcehQ4cICwujcuXKV30MS0JCgq1KEREntWDrSV5fsovL5jzKBHoztVcj7q1e2t5liYgUOzYLgN27d7fVoUTExWTm5PL6kt0sTDgJQKvqpXm_VyPKBOpTfURECmKzADh27FhbHUpEXMi-pHSen72VQ2cv4WaC4R1q8Hyb6ri56U4DIiLXYtMbQaekpLBgwQIOHTrEyJEjCQkJISEhgbCwMMqXL2_LUkTEwRmGwbzNJxi7dDfZuRbCgryZ1rsxzauWsndpIiLFns0C4I4dO2jfvj3BwcEcPXqUwYMHExISwqJFizh-_DhfffWVrUoREQeXkZ3Lfxbv5NvEUwC0rlGGKT0bUipAU74iIjfDZlcBDx8-nAEDBnDgwAF8fP7varyHHnqItWvX2qoMEXFwu0-l0nX6er5NPIW7m4lXOtdi5oCmCn8iIrfAZmcAN2_ezCeffHLV-vLly5OUlGSrMkTEQRmGwf82HWfisj3k5FooF-zD9KjG3F1J9xcVEblVNguA3t7epKWlXbV-__79lCmjO_OLyLWlZZkZvXAn3-88DUD72qFMfrwhJf297FyZiIhjstkUcLdu3ZgwYQJmsxkAk8nE8ePHGTVqFD169LBVGSLiYHacTOHhaev5fudpPNxMvNalNp89dY_Cn4jIHbBZAHzvvffIyMggNDSUy5cv07p1a6pXr05gYCBvvPGGrcoQEQdhGAYzfz1Cj49-4_iFTCqU9GXBkHt55v6qmEy6xYuIyJ2w2RRwcHAw8fHxrF-_nh07dpCRkUGTJk1o3769rUoQEQeRmmnm5YXbWbk7GYBOdcN5-_EGBPt63uCRIiJyM2wWAE-cOEFERAStWrWiVatWtjqsiDiYbccvEhO3jT9TLuPl7sZ_utTmqZaVdNZPRKQQ2WwKuHLlyrRu3ZrPPvuMixcv2uqwIuIgDMPgs7WHeeLjDfyZcplKpfxYOORe-t9bWeFPRKSQ2SwAbtmyhWbNmjFhwgTKli1L9-7dWbBgAdnZ2bYqQUSKqYuXcnjmyy28sXwvuRaDLg3KsmxoK-pXCLZ3aSIiTslmAbBx48ZMnjyZ48eP88MPP1CmTBmeffZZwsLCePrpp21VhogUM1uOXuChaev4-Y8zeHm48caj9ZjRpzGBPnq_n4hIUbFZALzCZDLRtm1bPvvsM3766SeqVKnCl19-aesyRMTOLBaDD1cfpNenGzmdmkXV0v4sef4--jbX-_1ERIqazS4CueLkyZPExcURFxfHrl27aNmyJbGxsbYuQ0Ts6HxGNsO_2c6a_WcB6N6oHP99tD4B3jb_lSQi4pJs9tv2k08-IS4ujl9__ZVatWrRt29fvv32WypVqmSrEkSkGNh4-Dwvzt1Gclo2Pp5uTOhWjyfuqaCzfiIiNmSzAPjf__6XPn36MG3aNBo2bGirw4pIMZFnMYhddZAPftqPxYDqoQHERjWhZnigvUsTEXE5NguAx48f1__wRVzUmfQshs1L5NeD5wF44u4KjH-kLn5emvIVEbEHm10EYjKZWLduHf369aNly5b8-eefAHz99desX7_eVmWIiI39evAcD01dz68Hz-Pr6c6Ung2Z_ERDhT8RETuyWQBcuHAhHTt2xNfXl23btlnv_5eamsqbb75pqzJExEbyLAZT4vfT7_NNnMvIplZ4IN8NbcVjTSrYuzQREZdnswD43__-l48__pjPPvsMT8__u7_XfffdR0JCgq3KEBEbSE7LIuqzjUz7-QCGAX2aRbAk-j6qhwbYuzQREcGG7wHct28fDzzwwFXrg4ODSUlJsVUZIlLE1uw_y7B5iVy4lIO_lztvPlafRxqVt3dZIiLyNzYLgOHh4Rw8eJDKlSvnW79-_XqqVq1qqzJEpIjk5ll4L34_H60-BECdskHE9m1CldL-dq5MRET-yWZTwIMHD-bFF19k06ZNmEwmTp06xezZsxkxYgRDhgy5pbHWrl1L165dKVeuHCaTiSVLluTbbjKZCvyaPHmydZ_KlStftX3SpEmF0aqIyzmVcpnen260hr8nW1Ri0fP3KvyJiBRTNjsD-Morr2CxWGjXrh2ZmZk88MADeHt7M2LECIYOHXpLY126dImGDRvy9NNP89hjj121_fTp0_mWf_jhBwYNGkSPHj3yrZ8wYQKDBw-2LgcG6n5kIrdq1b6zvLxoFymZZgK9PXj78QY8VL-svcsSEZHrsFkANJlM_Oc__2HkyJEcPHiQjIwM6tSpQ0BAAJcvX8bX1_emx-rcuTOdO3e-5vbw8PB8y99--y1t27a9aqo5MDDwqn1F5OaY8ywsOerGqg3bAGhQIZgZfZpQsZSfnSsTEZEbsfmNuLy8vKhTpw4A2dnZTJkyhXfeeYekpKQiOV5ycjLff_89X3755VXbJk2axMSJE6lYsSJRUVEMGzYMD49rf0uys7Ott68BSEtLA8BsNmM2mwu17ivjFfa4xYX6c2wnL17mxXnb2XH6r3eR9G9ZkZGRNfD2cHOanp39OXT2_sD5e1R_dz62KzMZhmEU5QGys7MZN24c8fHxeHl58fLLL9O9e3dmzpzJf_7zH9zd3YmJiWHUqFG3Nb7JZGLx4sV07969wO3vvPMOkyZN4tSpU_j4-FjXT5kyhSZNmhASEsJvv_3G6NGjGThwIFOmTLnmscaNG8f48eOvWh8XF4efn856iGvYccFE3EE3LueZ8HU3iKpuoUFIkf4aEREpVJmZmURFRZGamkpQUJC9y7GLIg-Ao0aN4pNPPqF9-_b89ttvnD17loEDB7Jx40ZeffVVnnjiCdzd3W97_BsFwFq1atGhQwemT59-3XG--OIL_vWvf5GRkYG3t3eB-xR0BjAiIoJz584V-g-Q2WwmPj6eDh065LtvorNQf44nO9fCOyv389XG4wA0LB9E97AL9HrYeXr8O2d8Dv_O2fsD5-9R_d2-tLQ0Spcu7dIBsMingOfPn89XX31Ft27d2LVrFw0aNCA3N5ft27cX-WcDr1u3jn379jFv3rwb7tu8eXNyc3M5evQoNWvWLHAfb2_vAsOhp6dnkb34inLs4kD9OYZj5y8RE7eNnX-mAvDsA1X594NViV-5wml6vBb15_icvUf1d3tjuroiD4AnT57k7rvvBqBevXp4e3szbNiwIg9_AJ9__jl33303DRs2vOG-iYmJuLm5ERoaWuR1iTiS73ec5pWFO0jPzqWknyfv9WzIg7XC9B4aEREHVuQBMC8vDy8vr_87oIcHAQF39nFQGRkZHDx40Lp85MgREhMTCQkJoWLFisBfp3fnz5_Pe--9d9XjN2zYwKZNm2jbti2BgYFs2LCBYcOG0a9fP0qWLHlHtYk4iyxzHv_9fg__-_-nfO-pVJLpUY0pG3zzV-yLiEjxVOQB0DAMBgwYYJ06zcrK4rnnnsPfP_8NYhctWnTTY27ZsoW2bdtal4cPHw5A__79mTVrFgBz587FMAz69Olz1eO9vb2ZO3cu48aNIzs7mypVqjBs2DDrOCKu7si5S0TPTmDP6b-udH--TTWGd6iBh7vN7h0vIiJFqMgDYP_-_fMt9-vX747HbNOmDTe6duXZZ5_l2WefLXBbkyZN2Lhx4x3XIeKMvk38k1cX7eRSTh6l_L2Y0qsRrWuUsXdZIiJSiIo8AM6cObOoDyEihSDLnMe4pbuZu_kEAC2qhjC1d2PCgnxu8EgREXE0Nr8RtIgUPwfPpBM9exv7ktMxmWDog3fxYru7cHcr-ou1RETE9hQARVzcgq0neX3JLi6b8ygd4M3U3o24r3ppe5clIiJFSAFQxEVl5uTy-pLdLEw4CcB91Uvxfq9GhAZqyldExNkpAIq4oH1J6UTHJXDwTAZuJhjWvgbPt62uKV8RERehACjiQgzD4JstJxjz7W6ycy2EBXkztXdjWlQtZe_SRETEhhQARVxERnYury3eyZLEUwC0rlGGKT0bUiqg4M--FhER56UAKOIC9pxKIyYugcPnLuHuZmJEZE3-9UBV3DTlKyLikhQARZyYYRjM3nScCcv2kJNroWywD9P7NOaeyiH2Lk1EROxIAVDESaVlmRm9aCff7zgNQLtaobz7RENK-nvd4JEiIuLsFABFnNDOk6nEzEng2PlMPNxMvNK5FoNaVcFk0pSviIgoAIo4FcMw-PK3o7y5_A9y8iyUL-HLjKjGNK5Y0t6liYhIMaIAKOIkUjPNvLxwOyt3JwMQWSeMyY83JNjP086ViYhIcaMAKOIEth2_yNA52zh58TJe7m68-lAt-t9bWVO-IiJSIAVAEQdmGAafrz_CpB_-INdiUDHEj9ioJtSvEGzv0kREpBhTABRxUBcv5TBi_nZ-_uMMAF3ql-WtHvUJ8tGUr4iIXJ8CoIgD2nrsAkPjtnEqNQsvDzfGPFyHvs0raspXRERuigKgiAOxWAw-WXuYd3_cR57FoEppf2ZENaZuOU35iojIzVMAFHEQ5zOyGf7NdtbsPwvAI43K8caj9Qnw1stYRERujf5yiDiATYfP88LcbSSnZePt4caER-rS854ITfmKiMhtUQAUKcbyLAYfrjrI-z_tx2JA9dAAYqOaUDM80N6liYiIA1MAFCmmzqZn8-952_j14HkAejSpwMTudfHz0stWRETujP6SiBRDvx48x4tzEzmXkY2vpzsTu9fj8bsr2LssERFxEgqAIsVInsVg6s8HmP7LAQwDaoYFEtu3MdVDNeUrIiKFRwFQpJhITsvixbnb2Hj4AgC9m0YwtmtdfL3c7VyZiIg4GwVAkWJgzf6zDJ-XyPlLOfh7ufPmY_V5pFF5e5clIiJOSgFQxI5y8yxMid_Ph6sPAVC7bBCxUY2pWibAzpWJiIgzUwAUsZNTKZd5Yc42thy7CMCTLSrxny618fHUlK-IiBQtBUARO_jlj2SGf7OdlEwzgd4eTOrRgC4Nytq7LBERcREKgCI2ZM6zMHnlPj5dexiA-uWDmRHVmEql_O1cmYiIuBIFQBEbOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOUrIiK25WbvAm7H2rVr6dq1K-XKlcNkMrFkyZJ82wcMGIDJZMr31alTp3z7XLhwgb59-xIUFESJEiUYNGgQGRkZNuxCXMnK3Uk8NHUdiSdSCPLx4JMn72Zct7oKfyIiYhcOeQbw0qVLNGzYkKeffprHHnuswH06derEzJkzrcve3t75tvft25fTp08THx-P2Wxm4MCBPPvss8TFxRVp7eJacnItvLliNzN_PQpAo4gSTO_TmIgQP_sWJiIiLs0hA2Dnzp3p3Lnzdffx9vYmPDy8wG179-5lxYoVbN68mXvuuQeA6dOn89BDD_Huu-9Srly5Qq9ZXM-5LOj9_35n559pAAy-vwojO9bCy8MhT7yLiIgTccgAeDNWr15NaGgoJUuW5MEHH-S___0vpUqVAmDDhg2UKFHCGv4A2rdvj5ubG5s2beLRRx8tcMzs7Gyys7Oty2lpf_1hN5vNmM3mQq3_yniFPW5x4ez9Ldv-J5N3uJOVl0YJX0_e7lGPB2uWASMPsznP3uUVCmd_DtWf43P2HtXfnY_tykyGYRj2LuJOmEwmFi9eTPfu3a3r5s6di5-fH1WqVOHQoUO8-uqrBAQEsGHDBtzd3XnzzTf58ssv2bdvX76xQkNDGT9-PEOGDCnwWOPGjWP8-PFXrY-Li8PPT1N6AmYLLDnqxvrkv87yVQk06H9XHiW9b_BAERGxmczMTKKiokhNTSUoKMje5diFU54B7N27t_Xf9evXp0GDBlSrVo3Vq1fTrl272x539OjRDB8-3LqclpZGREQEkZGRhf4DZDabiY-Pp0OHDnh6ehbq2MWBM_Z39PwlXpi7g73J6QC0L2fhvYFt8fNxzvTnjM_h36k_x-fsPaq_23dlBs-VOWUA_KeqVatSunRpDh48SLt27QgPD-fMmTP59snNzeXChQvXfN8g_PW-wn9eTALg6elZZC--ohy7OHCW_r5N_JNXF-3kUk4eIf5evNujHukHfsfPx9sp-rseZ3kOr0X9OT5n71H93d6Yrs4l3o1-8uRJzp8_T9myf33SQsuWLUlJSWHr1q3WfX755RcsFgvNmze3V5nigLLMeYxetIMX5yZyKSeP5lVC-OHF-7n_rtL2Lk1EROSaHPIMYEZGBgcPHrQuHzlyhMTEREJCQggJCWH8-PH06NGD8PBwDh06xMsvv0z16tXp2LEjALVr16ZTp04MHjyYjz_-GLPZTExMDL1799YVwHLTDp7JIHp2AvuS0zGZYGjb6rzQ7i483N30BmMRESnWHDIAbtmyhbZt21qXr7wvr3___nz00Ufs2LGDL7_8kpSUFMqVK0dkZCQTJ07MN307e_ZsYmJiaNeuHW5ubvTo0YNp06bZvBdxTAu3nuS1Jbu4bM6jdIA3H_RqRCud9RMREQfhkAGwTZs2XO_i5ZUrV95wjJCQEN30WW5ZZk4uY77dzYKtJwG4r3op3u_ViNBAHztXJiIicvMcMgCK2MP-5HSiZydw4EwGbib4d_saRLetjrubyd6liYiI3BIFQJEbMAyDb7acYOzS3WSZLYQGejOtT2NaVC1l79JERERuiwKgyHVkZOfy2uKdLEk8BcADNcowpWdDSgc45739RETENSgAilzDnlNpxMQlcPjcJdzdTLwUWYPnHqiGm6Z8RUTEwSkAivyDYRjM3nScCcv2kJNroWywD9P6NKZp5RB7lyYiIlIoFABF_iY9y8wri3by_Y7TADxYK5T3nmhISX8vO1cmIiJSeBQARf5_O0-mEjMngWPnM_FwMzGqUy0GtaqiKV8REXE6CoDi8gzD4MvfjvLm8j_IybNQvoQv06Ma06RiSXuXJiIiUiQUAMWlpV42M2rBDlbsTgIgsk4Ykx9vSLCfPihcRESclwKguKzEEynExCVw8uJlPN1NvPpQbQbcWxmTSVO-IiLi3BQAxeUYhsHn648w6Yc_yLUYVAzxY0ZUYxpUKGHv0kRERGxCAVBcSkpmDiPmb-envWcAeKh-OJN6NCDIR1O-IiLiOhQAxWVsPXaBoXHbOJWahZeHG68_XId-zStqyldERFyOAqA4PYvF4JO1h3n3x33kWQyqlPZnRlRj6pYLtndpIiIidqEAKE7tfEY2L83fzup9ZwHo1rAcbz5WnwBv_eiLiIjr0l9BcVqbDp_nhbnbSE7LxtvDjfHd6tKraYSmfEVExOUpAIrTybMYfLjqIO__tB-LAdXK-BPbtwm1woPsXZqIiEixoAAoTuVsejbD5iWy_uA5AB5rUp6Jj9TDX1O-IiIiVvqrKE7jt4PneHFeImfTs_H1dGfCI3V54p4Ie5clIiJS7CgAisPLsxhM_fkA0385gGFAjbAAYqOacFdYoL1LExERKZYUAMWhJadl8eLcbWw8fAGA3k0jGNu1Lr5e7nauTEREpPhSABSHtXb_WYbNS-T8pRz8vdx587H6PNKovL3LEhERKfYUAMXh5OZZmBK_nw9XHwKgdtkgYqMaU7VMgJ0rExERcQwKgOJQTqde5oU529h89CIAfZtX5PWH6-DjqSlfERGRm6UAKA5j1R9nGP5NIhczzQR4ezCpR30eblDO3mWJiIg4HAVAKfbMeRbeXbmPT9YeBqBe-SBio5pQqZS_nSsTERFxTAqAUqydvJjJ0Dnb2HY8BYAB91Zm9EO18PbQlK-IiMjtUgCUYuvH3UmMXLCD1MtmAn08mPx4AzrVK2vvskRERByeAqAUOzm5Ft76YS8zfz0KQMOIEszo05iIED_7FiYiIuIkFAClWDl-PpOYOQnsOJkKwDOtqvByp1p4ebjZuTIRERHnoQAoxcbynacZtWAH6dm5BPt68t4TDWlfJ8zeZYmIiDgdhzytsnbtWrp27Uq5cuUwmUwsWbLEus1sNjNq1Cjq16-Pv78_5cqV46mnnuLUqVP5xqhcuTImkynf16RJk2zciQBkmfN4fckunp-dQHp2LndXKsnyF-9X-BMRESkiDhkAL126RMOGDYmNjb1qW2ZmJgkJCbz--uskJCSwaNEi9u3bR7du3a7ad8KECZw-fdr6NXToUFuUL39z9Pwlenz0G19vPAbAc62rMffZFpQv4WvnykRERJyXQ04Bd-7cmc6dOxe4LTg4mPj4-HzrZsyYQbNmzTh-_DgVK1a0rg8MDCQ8PLxIa5VrSzhn4tUPN3IpJ48Qfy-m9GxIm5qh9i5LRETE6TlkALxVqampmEwmSpQokW_9pEmTmDhxIhUrViQqKophw4bh4XHtb0l2djbZ2dnW5bS0NOCvaWez2VyoNV8Zr7DHLQ6yzHlMWLaX-QfcgTyaVi7JlCfqEx7k4zT9OvPzd4Wz96j-HJ-z96j-7nxsV2YyDMOwdxF3wmQysXjxYrp3717g9qysLO677z5q1arF7NmzreunTJlCkyZNCAkJ4bfffmP06NEMHDiQKVOmXPNY48aNY_z48Vetj4uLw89Ptyi5GcmXYeZ-d05nmjBh0KG8QacIC-4me1cmIiKuIjMzk6ioKFJTUwkKCrJ3OXbh1AHQbDbTo0cPTp48yerVq6_7JH_xxRf861__IiMjA29v7wL3KegMYEREBOfOnSv0HyCz2Ux8fDwdOnTA09OzUMe2lyWJpxj73V4yc_Io5e9Jr4pZxDzR3mn6-ztnfP7-ydl7VH-Oz9l7VH-3Ly0tjdKlS7t0AHTaKWCz2UzPnj05duwYv_zyyw2f4ObNm5Obm8vRo0epWbNmgft4e3sXGA49PT2L7MVXlGPbSmZOLmO_3c38rScBuLdaKSb3qMeWdT87RX_X4-z9gfP3qP4cn7P3qP5ub0xX55QB8Er4O3DgAKtWraJUqVI3fExiYiJubm6EhuoihMK0Pzmd6NkJHDiTgZsJXmxXg5gHq2PJy7V3aSIiIi7LIQNgRkYGBw8etC4fOXKExMREQkJCKFu2LI8__jgJCQksW7aMvLw8kpKSAAgJCcHLy4sNGzawadMm2rZtS2BgIBs2bGDYsGH069ePkiVL2qstp2IYBvO3nGTM0l1kmS2EBnoztXdjWlb7K4xb8uxcoIiIiAtzyAC4ZcsW2rZta10ePnw4AP3792fcuHEsXboUgEaNGuV73KpVq2jTpg3e3t7MnTuXcePGkZ2dTZUqVRg2bJh1HLkzl7Jz-c_inSxJ_Ovm2_ffVZr3ezWidEDB760UERER23LIANimTRuud-3Kja5radKkCRs3bizssgTYcyqNmLgEDp-7hLubieEdajCkdTXc3HSZr4iISHHhkAFQih_DMIj7_Tjjv9tDTq6F8CAfpkc1pmnlEHuXJiIiIv-gACh3LD3LzOhFO1m24zQAbWuW4b2ejQjx97JzZSIiIlIQBUC5I7v-TCU6LoFj5zPxcDPxcqeaPNOqqqZ8RUREijEFQLkthmHw1YZjvPH9XnLyLJQv4cu0Po25u5KuohYRESnuFADllqVeNjNqwQ5W7P7r9jod6oQx-fEGlPDTlK-IiIgjUACUW5J4IoWYuAROXryMp7uJ0Z1rM_C-yphMmvIVERFxFAqAclMMw-Dz9Ud4e8UfmPMMIkJ8mdGnCQ0jSti7NBEREblFCoByQymZOYyYv52f9p4BoHO9cCb1aECwrz5LUURExBEpAMp1bT12gaFx2ziVmoWXuxuvP1ybfi0qacpXRETEgSkASoEsFoNP1x1m8sp95FkMKpfyY0ZUE-qVD7Z3aSIiInKHFADlKuczsnlp_nZW7zsLQNeG5Xjz0XoE-mjKV0RExBkoAEo-vx-5wNA5CSSnZePt4ca4bnXp3TRCU74iIiJORAFQgL-mfD9cfZAp8fuxGFC1jD-xUU2oXTbI3qWJiIhIIVMAFM6mZzP8m0TWHTgHwGONyzOxez38vfXjISIi4oz0F97F_XbwHC_OS-RsejY-nm5MeKQeT9xdQVO-IiIiTkwB0EXlWQym_XyAab8cwDDgrtAAPuzbhLvCAu1dmoiIiBQxBUAXdCYtixfmbmPj4QsA9LynAuO71cPXy93OlYmIiIgtKAC6mLX7zzJsXiLnL-Xg5-XOG4_W49HGFexdloiIiNiQAqCLyM2z8P5P-_lw9SEMA2qFBxLbtwnVygTYuzQRERGxMQVAF3A69TIvzknk96N_TflGNa_ImIfr4OOpKV8RERFXpADo5Fb9cYbh3yRyMdNMgLcHbz1Wn64Ny9m7LBEREbEjBUAnZc6z8O7KfXyy9jAA9coHMaNPEyqX9rdzZSIiImJvCoBO6M-UywyNSyDheAoA_VtW4tUutfH20JSviIiIKAA6nfg9yYyYv53Uy2YCfTx4p0cDOtcva--yREREpBhRAHQSObkWJv3wB1_8egSAhhWCmRHVhIgQPztXJiIiIsWNAqATOHEhk5i4BLafTAVgUKsqjOpUCy8PNztXJiIiIsWRAqCD-2HnaV5euIP0rFyCfT1594mGdKgTZu-yREREpBhTAHRQWeY83ly-l682HAOgScUSTOvTmAolNeUrIiIi16cA6ICOnrtEdFwCu0-lAfCv1lUZEVkTT3dN-YqIiMiNKQA6mKXbT_Hqop1kZOdS0s-TKT0b0bZWqL3LEhEREQeiAOggssx5jP9uD3N-Pw5As8ohTO3TiLLBvnauTERERByNQ84Zrl27lq5du1KuXDlMJhNLlizJt90wDMaMGUPZsmXx9fWlffv2HDhwIN8-Fy5coG_fvgQFBVGiRAkGDRpERkaGDbu4eYfOZtA99lfm_H4ckwli2lYnbnBzhT8RERG5LQ4ZAC9dukTDhg2JjY0tcPs777zDtGnT-Pjjj9m0aRP-_v507NiRrKws6z59-_Zl9-7dxMfHs2zZMtauXcuzzz5rqxZu2reJp-g6fT1_JKVTOsCLr55uxoiONfHQ-_1ERETkNjnkFHDnzp3p3LlzgdsMw-CDDz7gtdde45FHHgHgq6--IiwsjCVLltC7d2_27t3LihUr2Lx5M_fccw8A06dP56GHHuLdd9-lXLlyNuvlWjJzcok76MamDbsAaFm1FFN7NyI0yMfOlYmIiIijc8gAeD1HjhwhKSmJ9u3bW9cFBwfTvHlzNmzYQO_evdmwYQMlSpSwhj-A9u3b4-bmxqZNm3j00UcLHDs7O5vs7GzrclraX1fhms1mzGZzofVwIDmDofMSOXTWDRMwtG01nm9TFXc3U6Eex56u9OEs_fyTs_cHzt-j-nN8zt6j-rvzsV2Z0wXApKQkAMLC8t8MOSwszLotKSmJ0ND8V856eHgQEhJi3acgb731FuPHj79q_Y8__oifX-Hdf-_L_W4cOu9GkKfBU3dZqJa1j5Ur9hXa-MVJfHy8vUsoUs7eHzh_j-rP8Tl7j-rv1mVmZhb6mI7G6QJgURo9ejTDhw-3LqelpREREUFkZCRBQUGFdpz72pr57_d7udvjJD26dMDT07PQxi4uzGYz8fHxdOig_hyVs_eo_hyfs_eo_m7flRk8V-Z0ATA8PByA5ORkypYta12fnJxMo0aNrPucOXMm3-Nyc3O5cOGC9fEF8fb2xtvb-6r1np6ehfrDWdrTk8mPN2D58pOFPnZxo_4cn7P3qP4cn7P3qP5ub0xX53SXklapUoXw8HB-_vln67q0tDQ2bdpEy5YtAWjZsiUpKSls3brVus8vv_yCxWKhefPmNq9ZRERExJYc8gxgRkYGBw8etC4fOXKExMREQkJCqFixIv_-97_573__y1133UWVKlV4_fXXKVeuHN27dwegdu3adOrUicGDB_Pxxx9jNpuJiYmhd-_exeIKYBEREZGi5JABcMuWLbRt29a6fOV9ef3792fWrFm8_PLLXLp0iWeffZaUlBRatWrFihUr8PH5v1uozJ49m5iYGNq1a4ebmxs9evRg2rRpNu9FRERExNYcMgC2adMGwzCuud1kMjFhwgQmTJhwzX1CQkKIi4srivJEREREijWnew-giIiIiFyfAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjEN-EkhxceXTSNLS0gp9bLPZTGZmJmlpaXh6ehb6-Pam_hyfs_eo_hyfs_eo_m7flb_b1_tUMWenAHgH0tPTAYiIiLBzJSIiInKr0tPTCQ4OtncZdmEyXDn-3iGLxcKpU6cIDAzEZDIV6thpaWlERERw4sQJgoKCCnXs4kD9OT5n71H9OT5n71H93T7DMEhPT6dcuXK4ubnmu-F0BvAOuLm5UaFChSI9RlBQkFO-sK9Qf47P2XtUf47P2XtUf7fHVc_8XeGasVdERETEhSkAioiIiLgYBcBiytvbm7Fjx-Lt7W3vUoqE-nN8zt6j-nN8zt6j-pM7oYtARERERFyMzgCKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjALgHXjrrbdo2rQpgYGBhIaG0r17d_bt25dvn6ysLKKjoylVqhQBAQH06NGD5ORk6_bt27fTp08fIiIi8PX1pXbt2kydOvWqY61evZomTZrg7e1N9erVmTVr1g3r27FjB_fffz8-Pj5ERETwzjvvOFWPR48exWQyXfW1cePGYtff6dOniYqKokaNGri5ufHvf__7puo7fvw4Xbp0wc_Pj9DQUEaOHElubu5N9-cIPRb0HM6dO7fY9bdo0SI6dOhAmTJlCAoKomXLlqxcufKG9d3p67A491cYr0Fb9rh-_Xruu-8-SpUqha-vL7Vq1eL999-_YX2O8hzeTn-O9Hv073799Vc8PDxo1KjRDesrjL-FTsmQ29axY0dj5syZxq5du4zExETjoYceMipWrGhkZGRY93nuueeMiIgI4-effza2bNlitGjRwrj33nut2z___HPjhRdeMFavXm0cOnTI-Prrrw1fX19j-vTp1n0OHz5s-Pn5GcOHDzf27NljTJ8-3XB3dzdWrFhxzdpSU1ONsLAwo2_fvsauXbuMOXPmGL6-vsYnn3ziND0eOXLEAIyffvrJOH36tPUrJyen2PV35MgR44UXXjC-_PJLo1GjRsaLL754w9pyc3ONevXqGe3btze2bdtmLF--3ChdurQxevTom-6vuPdoGIYBGDNnzsz3HF6-fLnY9ffiiy8ab7_9tvH7778b-_fvN0aPHm14enoaCQkJ16ytMF6Hxbm_wngN2rLHhIQEIy4uzti1a5dx5MgR4-uvvzb8_Pyu-3w40nN4O_050u_RKy5evGhUrVrViIyMNBo2bHjd2grrb6EzUgAsRGfOnDEAY82aNYZhGEZKSorh6elpzJ8_37rP3r17DcDYsGHDNcd5_vnnjbZt21qXX375ZaNu3br59unVq5fRsWPHa47x4YcfGiVLljSys7Ot60aNGmXUrFnzlvv6u-LU45VfXNu2bbvNbq5WVP39XevWrW8qHC1fvtxwc3MzkpKSrOs--ugjIygoKN_zequKU4-G8VcAXLx48U3XfyO26O-KOnXqGOPHj7_m9qJ4HRan_oriNWgYtu3x0UcfNfr163fN7Y7-HN6oP0f8PdqrVy_jtddeM8aOHXvDAFhUfwudgaaAC1FqaioAISEhAGzduhWz2Uz79u2t-9SqVYuKFSuyYcOG645zZQyADRs25BsDoGPHjtcdY8OGDTzwwAN4eXnle8y-ffu4ePHirTX2j9qgePR4Rbdu3QgNDaVVq1YsXbr0lvopqC4o_P5ux4YNG6hfvz5hYWHWdR07diQtLY3du3ff9rjFqccroqOjKV26NM2aNeOLL77AuIPbk9qqP4vFQnp6-nX3KYrXYXHq74rCfA1eqQ2Kvsdt27bx22-_0bp162vu48jP4c30d4Wj_B6dOXMmhw8fZuzYsTdVS1H9LXQGHvYuwFlYLBb-_e9_c99991GvXj0AkpKS8PLyokSJEvn2DQsLIykpqcBxfvvtN-bNm8f3339vXZeUlJQvBFwZIy0tjcuXL-Pr63vVOElJSVSpUuWqx1zZVrJkSYfvMSAggPfee4_77rsPNzc3Fi5cSPfu3VmyZAndunUrVv3djmt9T65sux3FrUeACRMm8OCDD-Ln58ePP_7I888_T0ZGBi-88MItj2XL_t59910yMjLo2bPnNfcp7NdhceuvsF-DYJseK1SowNmzZ8nNzWXcuHE888wz16zHEZ_DW-nPkX6PHjhwgFdeeYV169bh4XFz8aUo_hY6CwXAQhIdHc2uXbtYv379bY-xa9cuHnnkEcaOHUtkZGQhVlc4iluPpUuXZvjw4dblpk2bcurUKSZPnnxbv7iKW39FoTj2-Prrr1v_3bhxYy5dusTkyZNvKwDaqr-4uDjGjx_Pt99-S2ho6G0f61YVt_4K-zUItulx3bp1ZGRksHHjRl555RWqV69Onz59bvt4t6K49ecov0fz8vKIiopi_Pjx1KhR47bHlv-jKeBCEBMTw7Jly1i1ahUVKlSwrg8PDycnJ4eUlJR8-ycnJxMeHp5v3Z49e2jXrh3PPvssr732Wr5t4eHh-a6WujJGUFBQgWfGrveYK9tuVXHssSDNmzfn4MGDN73_FUXd3-1wtOewsDRv3pyTJ0-SnZ19S4-zVX9z587lmWee4ZtvvrnqbQv_VJjPYXHsryC3-xoE2_VYpUoV6tevz-DBgxk2bBjjxo27Zk2O-BzeSn8FKY6_R9PT09myZQsxMTF4eHjg4eHBhAkT2L59Ox4eHvzyyy8F1lTYv0edir3fhOjILBaLER0dbZQrV87Yv3__VduvvPF1wYIF1nV__PHHVW983bVrlxEaGmqMHDmywOO8_PLLRr169fKt69Onz01dBPL3K7lGjx59y298Lc49FuSZZ54xGjdufNP726q_v7vVi0CSk5Ot6z755BMjKCjIyMrKuuHjryjOPRbkv__9r1GyZMmb3t-W_cXFxRk-Pj7GkiVLbqq2wngdFuf-CnKrr0HDsM_P6BXjx483KlWqdM3tjvYc_tO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Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '38275' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"I see multiple image files.\\n\\nSpecifically:\\n1. + \ One primary image file displaying a line graph titled \\\"Revenue Over Time\\\".\\n2. + \ Four additional image files, which are cropped sections of the primary image.\\n\\nAll + these files are visual representations, likely in a format such as PNG or + JPEG, used to display the graph content.\"\n }\n ],\n \"role\": + \"model\"\n },\n \"finishReason\": \"STOP\",\n \"index\": 0\n + \ }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": 424,\n \"candidatesTokenCount\": + 70,\n \"totalTokenCount\": 781,\n \"cachedContentTokenCount\": 287,\n + \ \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 166\n },\n {\n \"modality\": \"IMAGE\",\n + \ \"tokenCount\": 258\n }\n ],\n \"cacheTokensDetails\": + [\n {\n \"modality\": \"IMAGE\",\n \"tokenCount\": 175\n + \ },\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": + 112\n }\n ],\n \"thoughtsTokenCount\": 287\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"TkqOaY-SG_yM_uMPqMyF2A0\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 21:46:54 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=2473 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_text_file[gemini-gemini-2.0-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_text_file[gemini-gemini-2.0-flash].yaml index 5ca946ec3..b63884e67 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_text_file[gemini-gemini-2.0-flash].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_text_file[gemini-gemini-2.0-flash].yaml @@ -1,17 +1,11 @@ interactions: - request: body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Summarize this text - briefly.\n\nBegin! This is VERY important to you, use the tools available and - give your best Final Answer, your job depends on it!\n\nThought:"}, {"inlineData": - {"data": "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", + briefly.\n\nProvide your complete response:"}, {"inlineData": {"data": "UmV2aWV3IEd1aWRlbGluZXMKCjEuIEJlIGNsZWFyIGFuZCBjb25jaXNlOiBXcml0ZSBmZWVkYmFjayB0aGF0IGlzIGVhc3kgdG8gdW5kZXJzdGFuZC4KMi4gRm9jdXMgb24gYmVoYXZpb3IgYW5kIG91dGNvbWVzOiBEZXNjcmliZSB3aGF0IGhhcHBlbmVkIGFuZCB3aHkgaXQgbWF0dGVycy4KMy4gQmUgc3BlY2lmaWM6IFByb3ZpZGUgZXhhbXBsZXMgdG8gc3VwcG9ydCB5b3VyIHBvaW50cy4KNC4gQmFsYW5jZSBwb3NpdGl2ZXMgYW5kIGltcHJvdmVtZW50czogSGlnaGxpZ2h0IHN0cmVuZ3RocyBhbmQgYXJlYXMgdG8gZ3Jvdy4KNS4gQmUgcmVzcGVjdGZ1bCBhbmQgY29uc3RydWN0aXZlOiBBc3N1bWUgcG9zaXRpdmUgaW50ZW50IGFuZCBvZmZlciBzb2x1dGlvbnMuCjYuIFVzZSBvYmplY3RpdmUgY3JpdGVyaWE6IFJlZmVyZW5jZSBnb2FscywgbWV0cmljcywgb3IgZXhwZWN0YXRpb25zIHdoZXJlIHBvc3NpYmxlLgo3LiBTdWdnZXN0IG5leHQgc3RlcHM6IFJlY29tbWVuZCBhY3Rpb25hYmxlIHdheXMgdG8gaW1wcm92ZS4KOC4gUHJvb2ZyZWFkOiBDaGVjayB0b25lLCBncmFtbWFyLCBhbmQgY2xhcml0eSBiZWZvcmUgc3VibWl0dGluZy4K", "mimeType": "text/plain"}}], "role": "user"}], "systemInstruction": {"parts": [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour - personal goal is: Analyze and describe files accurately\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}], "role": "user"}, "generationConfig": - {"stopSequences": ["\nObservation:"]}}' + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,13 +16,13 @@ interactions: connection: - keep-alive content-length: - - '1627' + - '1226' content-type: - application/json host: - generativelanguage.googleapis.com x-goog-api-client: - - google-genai-sdk/1.49.0 gl-python/3.12.10 + - google-genai-sdk/1.49.0 gl-python/3.13.3 x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST @@ -36,30 +30,100 @@ interactions: response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"Thought: The text provides guidelines - for giving effective feedback. I need to summarize these guidelines concisely.\\n\\nFinal - Answer: The provided text outlines eight guidelines for delivering effective - feedback, emphasizing clarity, focus on behavior and outcomes, specificity, - balanced perspective, respect, objectivity, actionable suggestions, and proofreading.\\n\"\n - \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": - \"STOP\",\n \"avgLogprobs\": -0.18550947507222493\n }\n ],\n \"usageMetadata\": - {\n \"promptTokenCount\": 253,\n \"candidatesTokenCount\": 60,\n \"totalTokenCount\": - 313,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n - \ \"tokenCount\": 253\n }\n ],\n \"candidatesTokensDetails\": - [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 60\n + [\n {\n \"text\": \"These guidelines provide instructions + for writing effective feedback. Feedback should be clear, concise, specific, + and balanced, focusing on behaviors and outcomes with examples. It should + also be respectful, constructive, and objective, suggesting actionable next + steps for improvement and be proofread before submission.\\n\"\n }\n + \ ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"avgLogprobs\": -0.27340631131772641\n }\n ],\n \"usageMetadata\": + {\n \"promptTokenCount\": 164,\n \"candidatesTokenCount\": 54,\n \"totalTokenCount\": + 218,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 164\n }\n ],\n \"candidatesTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 54\n \ }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n \"responseId\": - \"9MlzacewKpKMjMcPtu7joQI\"\n}\n" + \"kSqOadGYAsXQjMcP9YfmuAQ\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 23 Jan 2026 19:20:21 GMT + - Thu, 12 Feb 2026 19:31:29 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=890 + - gfet4t7; dur=1041 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Summarize this text + briefly.\n\nProvide your complete response:"}, {"inlineData": {"data": "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", + "mimeType": "text/plain"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '1226' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"These guidelines outline how to provide + effective feedback: be clear, concise, and specific, focusing on behavior + and outcomes with examples. Balance positive aspects with areas for improvement, + offering constructive, respectful suggestions and actionable next steps, all + while referencing objective criteria and ensuring the feedback is well-written + and proofread.\\n\"\n }\n ],\n \"role\": \"model\"\n + \ },\n \"finishReason\": \"STOP\",\n \"avgLogprobs\": -0.25106738043613119\n + \ }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": 164,\n \"candidatesTokenCount\": + 61,\n \"totalTokenCount\": 225,\n \"promptTokensDetails\": [\n {\n + \ \"modality\": \"TEXT\",\n \"tokenCount\": 164\n }\n ],\n + \ \"candidatesTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 61\n }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n + \ \"responseId\": \"kiqOaePiC96RjMcP3auj8Q4\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 19:31:31 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1024 Transfer-Encoding: - chunked Vary: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_text_file[gemini-gemini-2.5-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_text_file[gemini-gemini-2.5-flash].yaml new file mode 100644 index 000000000..9f1d157f0 --- /dev/null +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_text_file[gemini-gemini-2.5-flash].yaml @@ -0,0 +1,134 @@ +interactions: +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Summarize this text + briefly.\n\nProvide your complete response:"}, {"inlineData": {"data": "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", + "mimeType": "text/plain"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '1226' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"These guidelines provide a framework + for giving effective feedback, emphasizing clarity, specificity, balance, + respect, objectivity, actionable next steps, and proofreading.\"\n }\n + \ ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 166,\n \"candidatesTokenCount\": 29,\n \"totalTokenCount\": 223,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 166\n + \ }\n ],\n \"thoughtsTokenCount\": 28\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"PUqOaZ3pMYi8_uMP25m7gAQ\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 21:46:37 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=671 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Summarize this text + briefly.\n\nProvide your complete response:"}, {"inlineData": {"data": "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", + "mimeType": "text/plain"}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '1226' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"These guidelines provide instructions + on how to deliver effective, constructive, and respectful feedback, emphasizing + clarity, specificity, balance, and actionable suggestions for improvement.\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 166,\n \"candidatesTokenCount\": 29,\n \"totalTokenCount\": 269,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 166\n + \ }\n ],\n \"thoughtsTokenCount\": 74\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"PkqOaf-bLu-v_uMPnorr8Qs\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 21:46:38 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=898 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_video_file[gemini-gemini-2.0-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_video_file[gemini-gemini-2.0-flash].yaml index 9e45de319..d60487f4e 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_video_file[gemini-gemini-2.0-flash].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_video_file[gemini-gemini-2.0-flash].yaml @@ -1,17 +1,11 @@ interactions: - request: body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What do you see in this - video?\n\nBegin! This is VERY important to you, use the tools available and - give your best Final Answer, your job depends on it!\n\nThought:"}, {"inlineData": - {"data": 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PJlMCG__-p4QAAGHc69KnsHkU3_sdlY4M-a8eB48gBPgUDoWXdHyAeK7Z5CckIJol-vGY2cwPWQAAADxBmlBJ4Q8mUwURPDP__p4QAAF_4TnWqFJYRKN7UKydF-P118GyR7vNgsykiIVZ_whhSOUvl2jqeP6l4TMAAAAvAZ5vakK_AAEqVSGnRRSqAF2-a9WNqJHD4kNfhoFHm0rvXJyzIrRtZVGR_L-yJmAAAAAwQZpxSeEPJlMCGf_-nhAAAXOthWR96FmJZMUE9xyiaL6PYOjnXgQbJQ-0OwhR-4yoAAAANUGakknhDyZTAhv__qeEAABf-E81KirnOETvkozN2K4mxx_s8wC_ovjIBuVdaKOUcphiXB6RAAAAM0GatEnhDyZTBRE8M__-nhAAAWqu7RY8xzhmPRWFpVTbLXv6TL-UU0xFC9Hp-W7NldgSsAAAACgBntNqQr8AASpVIZ44ZVjYuNihvugKbWvQmjdXxErS-MGHMDdCBwHpAAAAN0Ga1UnhDyZTAhv__qeEAABdABiHSp7B-G6CQgJmULgNHICf_pSiW5_C4aGpAb36eRQfXbMkb0EAAAA8QZr3SeEPJlMFETwz__6eEAABbOZc61LBLCI_bahWTo6I2PI9CganJJEnhCWzdBl6CJsvYsN-cd8O8KGAAAAAKwGfFmpCvwABKlUhnkUUWwFznsDVK6JPvXJrFQY1z36WlNIG9H1ixsBYg-cAAAAvQZsYSeEPJlMCGf_-nhAAAWGthWPLwWY9FYWlVNste_pMv5RTTEUL0eNO6QPYEzEAAABIQZs5SeEPJlMCG__-p4QAAFs5l2rI3jMvmEQAggw1RuXxgIW_asbkXsRFJ7tHH3BOkQ7-WjCmUsw9vKcYz94b7qaLdp8-JHHAAAAANkGbW0nhDyZTBRE8M__-nhAAAViu7RY-YY1BPUVFKAyWv7FgHVuVh8ecmax7gNJFfBSa_1-D_QAAACgBn3pqQr8AASpVIZU4ZVjYuNihvugKbWvQmjdXxErS-MGHMDdCBwH-AAAANEGbfEnhDyZTAhv__qeEAABYgBiHSp7B-G6CQgJmDFNvc78e6iaC9ubCNOGo7x9-oeZI6YEAAAA5QZueSeEPJlMFETwz__6eEAABWuZc61DksIid2oVkxNEbHkehQNTkkiTwhLZugyvn7UvmL8otMIQdAAAAKwGfvWpCvwABKlUhlUUUWwFznsDVK6JPvXJrFQY1z36WlNIG9H1ixsBYhBwAAAA2QZu_SeEPJlMCGf_-nhAAAU-t7Fj7VOAsx6KwtKqbZa9_SZfyimmIoXo8-lAOh1UKsvyJiEHAAAAAOkGbwEnhDyZTAhv__qeEAABWuZdqyN41DSjX33rYP3PwUbMHUj1GaXJmcCxaQl3M8UOoH8Vwb52Swh8AAAAzQZviSeEPJlMFETwz__6eEAABRq7tFj5hjUE9RUUoDJa_sWAdW5WHx5yZrHuA0Y4Pr8IeAAAAJwGeAWpCvwABKlUhjPQkm4q-jy_0K8B_SF8Q4F-nLAdIdq2F5ZApoQAAADdBmgNJ4Q8mUwIb__6nhAAAU_Dr0qeweRTf-x2Vj94hh4IgAqDTes7pbmsImm7-hR4DIhgLaSPSAAAAPkGaJUnhDyZTBRE8M__-nhAAAUjmXPE62klig45wsIZVrFqG2fFpBmyipexC2Y02Caol-0XlBYroNFJ5RCLhAAAAKwGeRGpCvwABKlUhjNcUWwFznsDVK6JPvXJrFQY1z36WlNIG9H1ixsBYhF0AAAAvQZpGSeEPJlMCGf_-nhAAAT2thWPLwWY9FYWlVNste_pMv5RTTEUL0eNO6QPYFVEAAAA9QZpnSeEPJlMCG__-p4QAAFGxApSp7B5IZf-x2Vj94hh4IgAqDTes7pbmsImm7-o30WLTBIGNXbenlaQYEQAAADZBmolJ4Q8mUwURPDP__p4QAAE_5lzvnjVppjrYWELZoSJb4EGdOlpVpVCAd83rD8D4KmV4XEAAAAApAZ6oakK_AAEqVSGI1xRa-ilDtjrCXiOnbioxGiSry_EiYUWdi2a5FxAAAAAvQZqqSeEPJlMCGf_-nhAAATUPVfYeZ1fcpg6oIp1RNF9HsHRzrwINkoZjY1dwK-EAAAA5QZrLSeEPJlMCG__-p4QAAE_5l2CWlGxI7Qv9URgQ8Z2bl3opFBzWsfPmkYmfyJpp1Nr7U_rwwCEnAAAAOkGa7UnhDyZTBRE8M__-nhAAAS0QePJAA0IWKAYcvUDmdqNK_tEdSbcla-mi00EyrbhTjTOPb3KSsakAAAAoAZ8MakK_AAEqVSGAymVY2LjYob7oCm1r0Jo3V8RK0vjBhzA3QgcCTwAAADVBmw5J4Q8mUwIb__6nhAAATVL0h0qeweOGXzmwv3hefaimFvnqTtMn2HSj-87KV2QLGeBBwQAAADtBmzBJ4Q8mUwURPDP__p4QAAEu6b0BVHbWWdBGwHUXcfuMX1lLSAJkgzztHdty4eDNZzkvYGYA_-tEHQAAAC4Bn09qQr8AASpVIYDXQKrE8TK1oSv6cjDVX5BQ5Tz87qfv645wRKec9b5M-GDAAAAAMEGbUUnhDyZTAhn__p4QAAElD1X2HmdX3KYOqCKdUTRfR7B0c68CDZKH2h2EHU3HzAAAAEJBm3JJ4Q8mUwIb__6nhAAAS7pvYJaUbEjtC_1REjmDOzWlH0vriihLwS7_Wg6WqjSHH-dtmW0P-yXmCMKpBj04ekEAAAA6QZuUSeEPJlMFETwz__6eEAABHRB48kADxqVeS9hqpWdqNK_tEdSbcla-mi00EyrbhTjTOPb3KSsb0AAAACoBn7NqQr8AASpVIXj0JJ94OTwUxP4VuIP7MktUYvsrwaEqAoGI1sowLyAAAABCQZu1SeEPJlMCG__-p4QAAElHZ9BurzyP93oBj26WaMeFpmb0JH1IzjvtOv2x1rFhY4cPfgBVh-oL6pG7LpKwkwoJAAAAO0Gb10nhDyZTBRE8M__-nhAAAR7pvPE62klg-EeWELbziOsDOskW1Tbbi7mxuf_jai4Lu0zDh7swhCggAAAALwGf9mpCvwABKlUheNdAqsTxMrUdWx6pBM5Hxqfe0lacHrghNRVgiXLG2PNzaIuBAAAAMEGb-EnhDyZTAhn__p4QAAEVQ_NVkfehUo1maTYLCNjPxoY3kDU45UZUpKQhhTcg4QAAADVBmhlJ4Q8mUwIb__6nhAAAR7pvarYTPBtCeLQMzdiuJscf7PMAv6L4yAbdA_5H9p1ns-BLwAAAADNBmjtJ4Q8mUwURPDP__p4QAAENEHjPWHA4Zj0VhaVU2y17-ky_lFNMRQvR6fluzZXYGNEAAAAoAZ5aakK_AAEqVSFyQdWeILjYob7oCm1r0Jo3V8RK0vjBhzA3QgcCkgAAADZBmlxJ4Q8mUwIb__6nhAAARUdoCRuweRTf-x2Vj94hh4IgAqDTes7pbmsImm7-hNopfCRYVMEAAAA6QZp-SeEPJlMFETwz__6eEAABDum861QpLCJRvahWTo6I2PI9CganJJEnhCWzdBlfP2pfMX5T8mEKmQAAADwBnp1qQr8AASpVIXJKuFVKwAeWWbQj-8jtvv9MpHyquee8iHvdIhZNxj8iybbAqCNeVAh4gQHhkljdkasAAAAxQZqfSeEPJlMCGf_-nhAAAQUPVfWGUWY9FYWlVNste_pMv5RTTEUL0eNZuy-Rn6yQcAAAAEhBmqBJ4Q8mUwIb__6nhAAAQ7pvasjeMy-YRACCDDVG5fGAhb9qxuRexEUnu0cfcE6RDv5aMKZSzD28tx5G29w18UBikvPiSXkAAAAxQZrCSeEPJlMFETwz__6eEAAA_XqV-tIwxqCeoqKUBktf2LAOrcrD485M1j2915rHpAAAACcBnuFqQr8AASpVIWzeLHcmlUVTqfXgP6QviHAv05YDpDtWwvLIGhEAAAA3QZrjSeEPJlMCG__-p4QAAEFHaAkbsHkU3_sdlLxaQxZQLUKFK1ZTsoWI9as3_Qo8BkQwFtJJuAAAAD1BmwVJ4Q8mUwURPDP__p4QAAD-8JzxOtpJYoOOcLCGVazEKFmMA_Dsn8b9-J7xc_JTjTorlCvyWpNS8N-BAAAALwGfJGpCvwABKlUhbMrOVWJ4mVqOrY9Ugmcj41PvaStOD1wQmoqwRLdoXwkuMjfhAAAAMUGbJknhDyZTAhn__p4QAAD3-f_rSMMagnqKilAZLX9iwDq3Kw-POTNY0waMcH1-FlEAAAA5QZtHSeEPJlMCG__-p4QAAD9grrAj0EXObofRYsfvEMPBEAFQab1ndLc1hE03f0JwDkwK590MZ8h5AAAAQEGbaUnhDyZTBRE8M__-nhAAAPlwnPE6rUlig37gsIZVrFqG2fFpBmyipexC2Y02Caol-0XlBXt3fPAxSpIIipgAAAAvAZ-IakK_AAEqVSFqCs5VYniZWo6tj1SCZyPjU-9pK04PXBCairBEt2hdThf4csAAAAAxQZuKSeEPJlMCGf_-nhAAAPJ5w61u9CzEsmKCe45RNF9HsHRzrwINkoZjY4gMSqm5LwAAADlBm6tJ4Q8mUwIb__6nhAAAPlwnk2gE8_jtC_1RGBDxnZuXeikUHNax8-aRiZ_ImmnU2vtT-vDAIXcAAAA6QZvNSeEPJlMFETwz__6eEAAA7PqWEPAB-AzAAw5eoHM7UaV_aI6k25K19NFpoJlW3CnGmce3uUlZBwAAACgBn-xqQr8AASpVIWSGhHX8XGxQ33QFNrXoTRur4iVpfGDDmBuhA4F3AAAAO0Gb7knhDyZTAhv__qeEAAA8qPFEJG7B44ZfObC_eF59qKYW-epO0yfYdKP7zspXZanNUgjxFms-IJFxAAAAOkGaEEnhDyZTBRE8M__-nhAAAO5wnOtQ5LCIndqFWuT5UM1-_WI2M1FjlMsWzDGyD5O76HkV3TgEMCEAAAArAZ4vakK_AAEqVSFkjfgtgLnPYGqV0Sf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+ video?\n\nProvide your complete response:"}, {"inlineData": {"data": 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"mimeType": "video/mp4"}}], "role": "user"}], "systemInstruction": {"parts": [{"text": "You are File Analyst. Expert at analyzing various file types.\nYour - personal goal is: Analyze and describe files accurately\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"}], "role": "user"}, "generationConfig": - {"stopSequences": ["\nObservation:"]}}' + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,46 +16,33 @@ interactions: connection: - keep-alive content-length: - - '14208' + - '13807' content-type: - application/json host: - generativelanguage.googleapis.com x-goog-api-client: - - google-genai-sdk/1.49.0 gl-python/3.12.10 + - google-genai-sdk/1.49.0 gl-python/3.13.3 x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent response: body: - string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"The video shows a white square moving - across a blue background. The square moves from left to right, stopping at - the center and then moving to the right edge.\\nThought: I can now give a - great answer.\\nFinal Answer: The video shows a white square moving horizontally - across a blue background. It starts on the left, moves to the center, pauses - briefly, and then continues moving to the right side of the screen.\\n\"\n - \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": - \"STOP\",\n \"avgLogprobs\": -0.3270314096034258\n }\n ],\n \"usageMetadata\": - {\n \"promptTokenCount\": 1420,\n \"candidatesTokenCount\": 87,\n \"totalTokenCount\": - 1507,\n \"promptTokensDetails\": [\n {\n \"modality\": \"VIDEO\",\n - \ \"tokenCount\": 1290\n },\n {\n \"modality\": \"TEXT\",\n - \ \"tokenCount\": 130\n }\n ],\n \"candidatesTokensDetails\": - [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 87\n - \ }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash\",\n \"responseId\": - \"-slzaa2uNdTojMcPmeOr2Q8\"\n}\n" + string: "{\n \"error\": {\n \"code\": 429,\n \"message\": \"Resource + exhausted. Please try again later. Please refer to https://cloud.google.com/vertex-ai/generative-ai/docs/error-code-429 + for more details.\",\n \"status\": \"RESOURCE_EXHAUSTED\"\n }\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 23 Jan 2026 19:20:29 GMT + - Thu, 12 Feb 2026 19:31:47 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=2900 + - gfet4t7; dur=6576 Transfer-Encoding: - chunked Vary: @@ -75,6 +56,6 @@ interactions: X-XSS-Protection: - '0' status: - code: 200 - message: OK + code: 429 + message: Too Many Requests version: 1 diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_video_file[gemini-gemini-2.5-flash].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_video_file[gemini-gemini-2.5-flash].yaml new file mode 100644 index 000000000..19420a7a5 --- /dev/null +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalGemini.test_video_file[gemini-gemini-2.5-flash].yaml @@ -0,0 +1,151 @@ +interactions: +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: What do you see in this + video?\n\nProvide your complete response:"}, {"inlineData": {"data": 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Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '13807' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"This video features a simple animation:\\n\\n* + \ The background is a solid, bright blue color.\\n* A white, vertically + oriented rectangular shape moves smoothly across the screen.\\n* The rectangle + starts on the left side of the 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Expert at analyzing various file types.\nYour + personal goal is: Analyze and describe files accurately"}], "role": "user"}, + "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '13807' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"This video features a simple animation + of a white vertical rectangle moving horizontally across a solid blue background.\\n\\nHere's + a breakdown of the action:\\n* **00:00 - 00:01**: A white vertical rectangle + is positioned on the left side of the blue screen.\\n* **00:01 - 00:02**: + The rectangle moves from the left towards the center of the screen.\\n* **00:02 + - 00:03**: The rectangle reaches and briefly pauses in the center of the screen.\\n* + \ **00:03 - 00:04**: The rectangle then moves from the center towards the + right side of the screen.\\n* **00:04 - 00:05**: The rectangle is positioned + on the right side of the screen.\\n\\nThe entire video shows this single white + rectangle translating horizontally across the blue screen from left to right.\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 1518,\n \"candidatesTokenCount\": 202,\n \"totalTokenCount\": 1905,\n + \ \"cachedContentTokenCount\": 1122,\n \"promptTokensDetails\": [\n {\n + \ \"modality\": \"TEXT\",\n \"tokenCount\": 43\n },\n {\n + \ \"modality\": \"VIDEO\",\n \"tokenCount\": 1315\n },\n + \ {\n \"modality\": \"AUDIO\",\n \"tokenCount\": 160\n }\n + \ ],\n \"cacheTokensDetails\": [\n {\n \"modality\": \"AUDIO\",\n + \ \"tokenCount\": 118\n },\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 31\n },\n {\n \"modality\": \"VIDEO\",\n + \ \"tokenCount\": 973\n }\n ],\n \"thoughtsTokenCount\": + 185\n },\n \"modelVersion\": \"gemini-2.5-flash\",\n \"responseId\": \"SkqOadVVrN7-4w_FvcPwDg\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 21:46:50 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=3409 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAI.test_generic_file_image[openai-gpt-4o-mini].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAI.test_generic_file_image[openai-gpt-4o-mini].yaml index 415f82335..3ae9d72eb 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAI.test_generic_file_image[openai-gpt-4o-mini].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAI.test_generic_file_image[openai-gpt-4o-mini].yaml @@ -2,13 +2,8 @@ interactions: - request: body: '{"messages":[{"role":"system","content":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal is: Analyze and describe files - accurately\nTo give my best complete final answer to the task respond using - the exact following format:\n\nThought: I now can give a great answer\nFinal - Answer: Your final answer must be the great and the most complete as possible, - it must be outcome described.\n\nI MUST use these formats, my job depends on - it!"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: Describe - this image briefly.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"gpt-4o-mini"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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Expert at analyzing various file types.\nYour personal goal is: Analyze and describe files - accurately\nTo give my best complete final answer to the task respond using - the exact following format:\n\nThought: I now can give a great answer\nFinal - Answer: Your final answer must be the great and the most complete as possible, - it must be outcome described.\n\nI MUST use these formats, my job depends on - it!"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: Describe - this image briefly.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"gpt-4o"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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Expert at analyzing various file types.\nYour personal goal is: Analyze and describe files - accurately\nTo give my best complete final answer to the task respond using - the exact following format:\n\nThought: I now can give a great answer\nFinal - Answer: Your final answer must be the great and the most complete as possible, - it must be outcome described.\n\nI MUST use these formats, my job depends on - it!"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: Describe - this image briefly.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"o4-mini"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"gpt-4o-mini"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABr0klEQVR4nO3dd3RU5fr+//ek90CAJJTQpXelKQoIBBBBFKUEFBDxiAl6QBDxKPWoKIpSYv0qqIcAUkVEMCpVAYEQuvQqJNQ0QpJJZv/+8Md8jISezGRmrtdaWYtd5tn3nckkF/uZvcdkGIaBiIiIiLgMN3sXICIiIiK2pQAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFREREXIwCoIiIiIiLUQAUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARURERFyMAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFRFzEgAEDqFy5sr3LEJFiQAFQxEnNmjULk8lk/fLw8KB8+fIMGDCAP//8097lFXvLli2jU6dOlCpVCh8fH2rUqMGIESM4f/68vUvL5+/P8fW+Vq9ebe9SRaQY8bB3ASJStCZMmECVKlXIyspi48aNzJo1i/Xr17Nr1y58fHzsXV6xNGLECN577z0aNmzIqFGjCAkJISEhgRkzZjB37lx+/vlnatasae8yAfj666/zLX/11VfEx8dftb527dp89tlnWCwWW5YnIsWUyTAMw95FiEjhmzVrFgMHDmTz5s3cc8891vWvvPIKb7/9NvPmzaNnz552rLB4mjNnDlFRUfTq1YvZs2fj7u5u3fb777/Ttm1bqlWrRkJCAh4etvs/9KVLl/D397/hfjExMcTGxqJf7SJyPZoCFnEx999/PwCHDh3Kt/6PP/7g8ccfJyQkBB8fH+655x6WLl1q3b5lyxZMJhNffvnlVWOuXLkSk8nEsmXLrOv+/PNPnn76acLCwvD29qZu3bp88cUX+R63evVqTCYT33zzDW+88QYVKlTAx8eHdu3acfDgwXz7Vq5cmQEDBlx17DZt2tCmTZt867Kzsxk7dizVq1fH29ubiIgIXn75ZbKzs2/4/Rk/fjwlS5bk008/zRf+AJo1a8aoUaPYuXMnCxYsAP4KXAEBAWRmZl41Vp8+fQgPDycvL8+67ocffuD+++/H39+fwMBAunTpwu7du/M9bsCAAQQEBHDo0CEeeughAgMD6du37w1rv5F/vgfw6NGjmEwm3n33XWJjY6latSp+fn5ERkZy4sQJDMNg4sSJVKhQAV9fXx555BEuXLhw1bg305OIFC8KgCIu5ujRowCULFnSum737t20aNGCvXv38sorr/Dee+/h7+9P9+7dWbx4MQD33HMPVatW5ZtvvrlqzHnz5lGyZEk6duwIQHJyMi1atOCnn34iJiaGqVOnUr16dQYNGsQHH3xw1eMnTZrE4sWLGTFiBKNHj2bjxo23HXgsFgvdunXj3XffpWvXrkyfPp3u3bvz/vvv06tXr+s+9sCBA+zbt49HHnmEoKCgAvd56qmnAKxht1evXly6dInvv/8+336ZmZl89913PP7449Yg+fXXX9OlSxcCAgJ4++23ef3119mzZw+tWrWyPi9X5Obm0rFjR0JDQ3n33Xfp0aPH7Xw7bsrs2bP58MMPGTp0KC+99BJr1qyhZ8+evPbaa6xYsYJRo0bx7LPP8t133zFixIh8j72VnkSkGDFExCnNnDnTAIyffvrJOHv2rHHixAljwYIFRpkyZQxvb2/jxIkT1n3btWtn1K9f38jKyrKus1gsxr333mvcdddd1nWjR482PD09jQsXLljXZWdnGyVKlDCefvpp67pBgwYZZcuWNc6dO5evpt69exvBwcFGZmamYRiGsWrVKgMwateubWRnZ1v3mzp1qgEYO3futK6rVKmS0b9//6v6bN26tdG6dWvr8tdff224ubkZ69aty7ffxx9/bADGr7/+es3v2ZIlSwzAeP/996+5j2EYRlBQkNGkSRPDMP76PpUvX97o0aNHvn2++eYbAzDWrl1rGIZhpKenGyVKlDAGDx6cb7+kpCQjODg43/r+/fsbgPHKK69ct46CREdHG9f61d6/f3+jUqVK1uUjR44YgFGmTBkjJSXFun706NEGYDRs2NAwm83W9X369DG8vLysPye30pOIFC86Ayji5Nq3b0+ZMmWIiIjg8ccfx9/fn6VLl1KhQgUALly4wC+//ELPnj1JT0/n3LlznDt3jvPnz9OxY0cOHDhgvWq4V69emM1mFi1aZB3/xx9/JCUlxXp2zTAMFi5cSNeuXTEMwzreuXPn6NixI6mpqSQkJOSrceDAgXh5eVmXr0xTHz58+Jb7nT9/PrVr16ZWrVr5jv3ggw8CsGrVqms+Nj09HYDAwMDrHiMwMJC0tDTgr6twn3jiCZYvX05GRoZ1n3nz5lG+fHlatWoFQHx8PCkpKfTp0ydfXe7u7jRv3rzAuoYMGXJrzd+mJ554guDgYOty8+bNAejXr1++9zk2b96cnJwc68/D7fQkIsWDrgIWcXKxsbHUqFGD1NRUvvjiC9auXYu3t7d1+8GDBzEMg9dff53XX3+9wDHOnDlD+fLladiwIbVq1WLevHkMGjQI+CvolC5d2hqwzp49S0pKCp9++imffvrpNcf7u4oVK+ZbvjI9ffHixVvu98CBA+zdu5cyZcrc1LH/7krwuxIEryU9PZ3Q0FDrcq9evfjggw9YunQpUVFRZGRksHz5cv71r39hMpmsdQHW79M//XPK2cPDwxrSi9o/v/9XwmBERESB6688L7fak4gUHwqAIk6uWbNm1quAu3fvTqtWrYiKimLfvn0EBARYbwsyYsQI63v4/ql69erWf/fq1Ys33niDc+fOERgYyNKlS+nTp4/1TNGV8fr160f//v0LHK9Bgwb5lv95scUVxt+uZL0SpP4pLy8v3+MtFgv169dnypQpBe7/z1Dzd7Vr1wZgx44d19zn2LFjpKWlUadOHeu6Fi1aULlyZb755huioqL47rvvuHz5cr73HF75vnz99deEh4dfNe4/ryj29vbGzc02kzTX+v7f6Hm51Z5EpPjQq1PEhbi7u/PWW2/Rtm1bZsyYwSuvvELVqlUB8PT0pH379jcco1evXowfP56FCxcSFhZGWloavXv3tm4vU6YMgYGB5OXl3dR4N6tkyZKkpKRctf7YsWPWHgCqVavG9u3badeu3TVD47XUqFGDGjVqsGTJEqZOnVrgVPBXX30FwMMPP5xvfc+ePZk6dSppaWnMmzePypUr06JFi3x1AYSGhhbq98WenLEnEVeh9wCKuJg2bdrQrFkzPvjgA7KysggNDaVNmzZ88sknnD59+qr9z549m2+5du3a1K9fn3nz5jFv3jzKli3LAw88YN3u7u5Ojx49WLhwIbt27brheDerWrVqbNy4kZycHOu6ZcuWceLEiXz79ezZkz///JPPPvvsqjEuX77MpUuXrnucMWPGcPHiRZ577rl8t28B2Lp1K2+//Tb16tW76qrcXr16kZ2dzZdffsmKFSuuusdix44dCQoK4s0338RsNl913Nv9vtiTM/Yk4ip0BlDEBY0cOZInnniCWbNm8dxzzxEbG0urVq2oX78+gwcPpmrVqiQnJ7NhwwZOnjzJ9u3b8z2+V69ejBkzBh8fHwYNGnTVVOWkSZNYtWoVzZs3Z/DgwdSpU4cLFy6QkJDATz/9VOC95G7kmWeeYcGCBXTq1ImePXty6NAh/ve//1nPQl3x5JNP8s033/Dcc8+xatUq7rvvPvLy8vjjjz/45ptvWLlyZb4bY/9T37592bx5M1OnTmXPnj307duXkiVLkpCQwBdffEGpUqVYsGABnp6e+R7XpEkTqlevzn/+8x+ys7OvuuVMUFAQH330EU8++SRNmjShd+/elClThuPHj/P9999z3333MWPGjFv+vtiTM/Yk4jLseg2yiBSZK7eB2bx581Xb8vLyjGrVqhnVqlUzcnNzDcMwjEOHDhlPPfWUER4ebnh6ehrly5c3Hn74YWPBggVXPf7AgQMGYADG+vXrCzx+cnKyER0dbURERBienp5GeHi40a5dO+PTTz+17nPlNjDz58/P99grtyeZOXNmvvXvvfeeUb58ecPb29u47777jC1btlx1GxjDMIycnBzj7bffNurWrWt4e3sbJUuWNO6++25j/PjxRmpq6s18+4wlS5YYHTp0MEqWLGl4e3sb1atXN1566SXj7Nmz13zMf/7zHwMwqlevfs19Vq1aZXTs2NEIDg42fHx8jGrVqhkDBgwwtmzZYt2nf//+hr+//03V+U+3cxuYyZMnX1VjQc/LtX6mbqYnESle9FFwIiIiIi5G7wEUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARURERFyMPgnkDlgsFk6dOkVgYOAtf+aoiIiI2IdhGKSnp1OuXLmrPsnIVSgA3oFTp04RERFh7zJERETkNpw4cYIKFSrYuwy7UAC8A4GBgcBfP0BBQUGFOrbZbObHH38kMjLyqs8cdQbqz/E5e4/qz/E5e4/q7/alpaURERFh/TvuihQA78CVad+goKAiCYB+fn4EBQU57Qtb/Tk2Z+9R/Tk+Z+9R/d05V377lmtOfIuIiIi4MAVAERERERejACgiIiLiYhQARURERFyMAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBiHDIAfffQRDRo0sH4CR8uWLfnhhx+s27OysoiOjqZUqVIEBATQo0cPkpOT841x/PhxunTpgp+fH6GhoYwcOZLc3FxbtyIiIiJicw4ZACtUqMCkSZPYunUrW7Zs4cEHH+SRRx5h9+7dAAwbNozvvvuO+fPns2bNGk6dOsVjjz1mfXxeXh5dunQhJyeH3377jS+//JJZs2YxZswYe7UkIiIiYjMO+VnAXbt2zbf8xhtv8NFHH7Fx40YqVKjA559/TlxcHA8++CAAM2fOpHbt2mzcuJEWLVrw448/smfPHn766SfCwsJo1KgREydOZNSoUYwbNw4vLy97tCUiIiJ/Yxj2rsB5OWQA/Lu8vDzmz5/PpUuXaNmyJVu3bsVsNtO+fXvrPrVq1aJixYps2LCBFi1asGHDBurXr09YWJh1n44dOzJkyBB2795N48aNCzxWdnY22dnZ1uW0tDTgrw+sNpvNhdrXlfEKe9ziQv05PmfvUf05Pmfv0dn723LkHG/vcKfmPalUDwsu1LGd9Xt2Kxw2AO7cuZOWLVuSlZVFQEAAixcvpk6dOiQmJuLl5UWJEiXy7R8WFkZSUhIASUlJ+cLfle1Xtl3LW2+9xfjx469a/+OPP+Ln53eHHRUsPj6+SMYtLtSf43P2HtWf43P2Hp2tP8OAVadNfHfcDYthYlTcBgbVtBTqMTIzMwt1PEfksAGwZs2aJCYmkpqayoIFC+jfvz9r1qwp0mOOHj2a4cOHW5fT0tKIiIggMjKSoKCgQj2W2WwmPj6eDh064OnpWahjFwfqz/E5e4/qz/E5e4/O2N/FzBxGLdrFqmPnAGgUYuGTZ1oTEuhbqMe5MoPnyhw2AHp5eVG9enUA7r77bjZv3szUqVPp1asXOTk5pKSk5DsLmJycTHh4OADh4eH8/vvv+ca7cpXwlX0K4u3tjbe391XrPT09i+zFV5RjFwfqz/E5e4/qz/E5e4/O0t+Woxd4Yc42TqVm4eXhxquda1Li7E5CAn0LvT9n+H7dKYe8CrggFouF7Oxs7r77bjw9Pfn555+t2/bt28fx48dp2bIlAC1btmTnzp2cOXPGuk98fDxBQUHUqVPH5rWLiIi4KovF4MPVB+n16UZOpWZRpbQ/i5+/l77NIjCZ7F2d83LIM4CjR4+mc+fOVKxYkfT0dOLi4li9ejUrV64kODiYQYMGMXz4cEJCQggKCmLo0KG0bNmSFi1aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wDN8IiIiUvjOZ2Qz/JvtrNl/FoBHGpXjjUfrE+DtoQs1iphDBsAzZ87w1FNPcfr0aYKDg2nQoAErV66kQ4cOALz//vu4ubnRo0cPsrOz6dixIx9++KH18e7u7ixbtowhQ4bQsmVL/P396d+/PxMmTLBXSyIiIi5l0+HzvDB3G8lp2Xh7uDG+W116NY3ApNN+NuGQAfDzzz+/7nYfHx9iY2OJjY295j6VKlVi+fLlhV2aiIiIXEeexeDDVQd5/6f9WAyoVsaf2L5NqBVeuBdTyvU5ZAAUERERx3M2PZt/z9vGrwfPA9CjSQUmdq+Ln5fiiK3pOy4iIiJF7teD53hxbiLnMrLx9XRnYvd6PH53BXuX5bIUAEVERKTI5FkMpv58gOm/HMAwoEZYALFRTbgrLNDepbk0BUAREREpEslpWbwwZxubjlwAoHfTCMZ2rYuvl7udKxMFQBERESl0a/afZfi8RM5fysHfy503H6vPI43K27ss+f8pAIqIiEihyc2z8F78fj5afQiA2mWDiI1qTNUyAXauTP5OAVBEREQKxamUy7wwZxtbjl0EoF+LirzWpQ4+npryLW4UAEVEROSO/fJHMsO/2U5KppkAbw8m9ajPww3K2bssuQYFQBEREblt5jwLk1fu49O1hwGoXz6YGVGNqVTK386VyfUoAIqIiMhtOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOVb3CkAioiIyC1buTuJkfO3k5aVS5CPB+883pBO9cLtXZbcJAVAERERuWk5uRbe+mEvM389CkDDiBLM6NOYiBA/+xYmt0QBUERERG7K8fOZxMxJYMfJVAAG31+FkR1r4eXhZufK5FYpAIqIiMgNLd95mlELdpCenUsJP0/efbwh7euE2bssuU0KgCIiInJNWeY83vh+L19vPAbA3ZVKMq1PY8qX8LVzZXInFABFRESkQEfOXSJ6dgJ7TqcBMKRNNYZ3qIGnu6Z8HZ0CoIiIiFzl28Q/eXXRTi7l5BHi78WUng1pUzPU3mVJIVEAFBEREasscx7jv9vNnN9PANCsSgjTejcmPNjHzpVJYVIAFBEREQAOnskgenYC+5LTMZkgpm11Xmx3Fx6a8nU6CoAiIiLCwq0neW3JLi6b8ygd4M0HvRrR6q7S9i5LiogCoIiIiAvLzMllzLe7WbD1JAD3VivFB70bERqoKV9npgAoIiLiovYnpxM9O4EDZzJwM8GL7WoQ82B13N1M9i5NipgCoIiIiIsxDINvtpxg7NLdZJkthAZ6M7V3Y1pWK2Xv0sRGFABFRERcSEZ2Lq8t3smSxFMA3H9Xad7v1YjSAd52rkxsSQFQRETERew5lUZMXAKHz13C3c3ES5E1eO6BarhpytflKACKiIg4OcMwiPv9OOO/20NOroWywT5M69OYppVD7F2a2IkCoIiIiBNLzzLzyqKdfL/jNAAP1grl3ScaEuLvZefKxJ4UAEVERJzUrj9TiY5L4Nj5TDzcTLzcqSbPtKqqKV9RABQREXE2hmHw5W9HeXP5H+TkWShfwpfpUY1pUrGkvUuTYkIBUERExImkXjYzasEOVuxOAqBDnTDefbwhwX6edq5MihMFQBERESeReCKFmLgETl68jKe7idGdazPwvsqYTJrylfwc8tOd33rrLZo2bUpgYCChoaF0796dffv2WbcfPXoUk8lU4Nf8+fOt+xW0fe7cufZoSURE5LYZhsH/W3eYxz/6jZMXLxMR4suC5+7l6VZVFP6kQA55BnDNmjVER0fTtGlTcnNzefXVV4mMjGTPnj34+/sTERHB6dOn8z3m008/ZfLkyXTu3Dnf+pkzZ9KpUyfrcokSJWzRgoiISKFIyTQzekkiP+09A8BD9cOZ1KMBQT6a8pVrc8gAuGLFinzLs2bNIjQ0lK1bt/LAAw/g7u5OeHh4vn0WL15Mz549CQgIyLe+RIkSV+0rIiLiCI6kw6QPN3A6NQsvDzdef7gO/ZpX1Fk/uSGHDID/lJqaCkBISME3tNy6dSuJiYnExsZetS06OppnnnmGqlWr8txzzzFw4MBrvnCys7PJzs62LqelpQFgNpsxm8132kY+V8Yr7HGLC/Xn+Jy9R/Xn+Jy5R4vF4NO1h5i2yx0LWVQu5cfUXg2oUzaI3Nxce5dXKIry+XPGn4lbZTIMw7B3EXfCYrHQrVs3UlJSWL9+fYH7PP/886xevZo9e/bkWz9x4kQefPBB/Pz8+PHHHxk7dizvvPMOL7zwQoHjjBs3jvHjx1+1Pi4uDj8/vztvRkRE5AYyzPC/g27sTfnrbfxNSlnoVc2Cj7udC3MgmZmZREVFkZqaSlBQkL3LsQuHD4BDhgzhhx9+YP369VSoUOGq7ZcvX6Zs2bK8/vrrvPTSS9cda8yYMcycOZMTJ04UuL2gM4ARERGcO3eu0H+AzGYz8fHxdOjQAU9P53sfh/pzfM7eo/pzfM7Y4+9HLzD8m50kp2fj7eFG94pmxvRth5eX832qR1E+f2lpaZQuXdqlA6BDTwHHxMSwbNky1q5dW2D4A1iwYAGZmZk89dRTNxyvefPmTJw4kezsbLy9va/a7u3tXeB6T0/PIvvlUpRjFwfqz/E5e4/qz/E5Q48Wi8GHqw8yJX4/FgOqlfFnas8GHEpYh5eXl8P3dz1F8fw58/frZjlkADQMg6FDh7J48WJWr15NlSpVrrnv559/Trdu3ShTpswNx01MTKRkyZIFhjwRERF7OJuezfBvEll34BwAjzUpz8RH6uHlZnDIzrWJ43LIABgdHU1cXBzffvstgYGBJCX9dbfz4OBgfH19rfsdPHiQtWvXsnz58qvG+O6770hOTqZFixb4+PgQHx/Pm2++yYgRI2zWh4iIyPX8dvAcL85L5Gx6Nr6e7kx4pC5P3BMB6EIGuTMOGQA/+ugjANq0aZNv/cyZMxkwYIB1+YsvvqBChQpERkZeNYanpyexsbEMGzYMwzCoXr06U6ZMYfDgwUVZuoiIyA3lWQym/nyA6b8cwDCgRlgAsVFNuCss0N6liZNwyAB4s9etvPnmm7z55psFbuvUqVO+G0CLiIgUB8lpWbw4dxsbD18AoNc9EYzrVhdfL13mK4XHIQOgiIiIM1q7/yzD5iVy/lIOfl7uvPlofbo3Lm/vssQJKQCKiIjYWW6ehfd/2s+Hqw9hGFC7bBCxUY2pWibgxg8WuQ0KgCIiInZ0OvUyL8zZxuajFwHo27wirz9cBx9PTflK0VEAFBERsZNVf5xh+DeJXMw0E+DtwaQe9Xm4QTl7lyUuQAFQRETExsx5Ft5duY9P1h4GoF75IGb0aULl0v52rkxchQKgiIiIDZ28mMnQOdvYdjwFgAH3Vmb0Q7Xw9tCUr9iOAqCIiIiN/Lg7iZELdpB62UygjweTH29Ap3pl7V2WuCAFQBERkSKWk2th0g9/8MWvRwBoWCGYGVFNiAjxs3Nl4qoUAEVERIrQiQuZxMQlsP1kKgDPtKrCy51q4eXhZufKxJUpAIqIiBSRH3ae5uWFO0jPyiXY15P3nmhI+zph9i5LRAFQRESksGWZ83hz+V6+2nAMgLsrlWRan8aUL+Fr58pE/qIAKCIiUoiOnLtETFwCu0+lAfBc62q8FFkDT3dN+UrxoQAoIiJSSJZuP8Wri3aSkZ1LiL8X7/VsSNuaofYuS+QqCoAiIiJ3KMucx/jv9jDn9+MANKscwrQ+jQkP9rFzZSIFUwAUERG5AwfPZBATl8AfSemYTBDTtjovtrsLD035SjGmACgiInKbFiWc5LUlu8jMyaN0gBfv92rE/XeVsXdZIjekACgiInKLMnNyGfvtbuZvPQlAy6qlmNq7EaFBmvIVx6AAKCIicgv2J6cTPTuBA2cycDPBi+1qEPNgddzdTPYuTeSmKQCKiIjcBMMwmL/1JGO+3UWW2UJooDdTezemZbVS9i5N5JYpAIqIiNzApexcXluyi8Xb/gTg/rtK836vRpQO8LZzZSK3RwFQRETkOvaeTiM6LoHDZy/h7mZieIcaDGldDTdN+YoDUwAUEREpgGEYzPn9BOO+201OroXwIB+mRzWmaeUQe5cmcscUAEVERP4hPcvMq4t38d32UwC0rVmG93o2IsTfy86ViRQOBUAREZG/2fVnKjFxCRw9n4mHm4mXO9XkmVZVNeUrTkUBUEREhL+mfL/acIw3vt9LTp6F8iV8mdanMXdXKmnv0kQKnQKgiIi4vNTLZl5ZuIMfdiUB0L52GO8+0YASfpryFeekACgiIi5t+4kUYuYkcOLCZTzdTYzuXJuB91XGZNKUrzgvBUAREXFJhmHwxa9HmfTDXsx5BhEhvszo04SGESXsXZpIkVMAFBERl5OSmcOI+Tv4aW8yAJ3rhTOpRwOCfT3tXJmIbSgAioiIS9l67CIvzNnGnymX8XJ34/WHa9OvRSVN+YpLUQAUERGXYLEYfLbuMJNX7iPXYlC5lB8zoppQr3ywvUsTsTk3exdwO9566y2aNm1KYGAgoaGhdO/enX379uXbp02bNphMpnxfzz33XL59jh8/TpcuXfDz8yM0NJSRI0eSm5try1ZERMQGLlzKYdCXm3nrhz/ItRh0bViO74a2UvgTl+WQZwDXrFlDdHQ0TZs2JTc3l1dffZXIyEj27NmDv7+/db/BgwczYcIE67Kfn5/133l5eXTp0oXw8HB+++03Tp8+zVNPPYWnpydvvvmmTfsREZGis/noRYbP30lSWhbeHm6M61aX3k0jNOUrLs0hA+CKFSvyLc+aNYvQ0FC2bt3KAw88YF3v5+dHeHh4gWP8+OOP7Nmzh59++omwsDAaNWrExIkTGTVqFOPGjcPLS/d+EhFxZBaLwY8nTazYtIU8i0HVMv7ERjWhdtkge5cmYncOGQD/KTU1FYCQkPwf0D179mz+97//ER4eTteuXXn99detZwE3bNhA/fr1CQsLs+7fsWNHhgwZwu7du2ncuPFVx8nOziY7O9u6nJaWBoDZbMZsNhdqT1fGK+xxiwv15/icvUf159jOZ2Tz0vwd/HrCHTDo3rAs47rWxt/bw2l6dvbnsCj7c9bv2a0wGYZh2LuIO2GxWOjWrRspKSmsX7/euv7TTz+lUqVKlCtXjh07djBq1CiaNWvGokWLAHj22Wc5duwYK1eutD4mMzMTf39/li9fTufOna861rhx4xg/fvxV6+Pi4vJNL4uIiP0cSDXx1QE30swmPN0MHq9ioXkZA834yhWZmZlERUWRmppKUJBrnhF2+DOA0dHR7Nq1K1/4g78C3hX169enbNmytGvXjkOHDlGtWrXbOtbo0aMZPny4dTktLY2IiAgiIyML/QfIbDYTHx9Phw4d8PR0vvtSqT/H5+w9qj/Hk2cx+HD1YT7ceAiLAdXL+PN4uVSeesR5evw7Z3wO/64o+7syg+fKHDoAxsTEsGzZMtauXUuFChWuu2/z5s0BOHjwINWqVSM8PJzff/893z7JyX/dEPRa7xv09vbG29v7qvWenp5F9uIryrGLA/Xn+Jy9R/XnGM6kZfHi3EQ2HD4PQM97KvBa55qs+mml0/R4Lerv9sZ0dQ55GxjDMIiJiWHx4sX88ssvVKlS5YaPSUxMBKBs2bIAtGzZkp07d3LmzBnrPvHx8QQFBVGnTp0iqVtERArfugNneWjaOjYcPo+flzvv92rIO483xNfL3d6liRRbDnkGMDo6mri4OL799lsCAwNJSkoCIDg4GF9fXw4dOkRcXBwPPfQQpUqVYseOHQwbNowHHniABg0aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wLN8IiJSvOTmWfjgpwPErj6IYUCt8EBi+zahWpkAe5cmUuw5ZAD86KOPgL9u9vx3M2fOZMCAAXh5efHTTz/xwQcfcOnSJSIiIujRowevvfaadV93d3eWLVvGkCFDaNmyJf7+/vTv3z/ffQNFRKR4Op16mRfnJPL70QsARDWvyJiH6+DjqbN+IjfDIQPgjS5cjoiIYM2aNTccp1KlSixfvrywyhIRERtYte8Mw+clcjHTTIC3B289Vp+uDcvZuywRh+KQAVBERFyPOc/Cuz/u45M1hwGoVz6IGX2aULm0/w0eKSL/pAAoIiLF3p8plxkal0DC8RQA+resxKtdauPtoSlfkduhACgiIsVa/J5kRszfTuplM4E+HrzTowGd65e1d1kiDk0BUEREiqWcXAtvr/iDz9cfAaBhhWBmRDUhIkSfvCRypxQARUSk2DlxIZOYOdvYfiIFgEGtqjCqUy28PBzy9rUixY4CoIiIFCsrdp1m5IIdpGflEuzrybtPNKRDnTB7lyXiVBQARUSkWMjOzePN7/fy5YZjADSpWILpUU0oX8LXzpWJOB8FQBERsbuj5y4RMyeBXX+mAfCv1lUZEVkTT3dN+YoUBQVAERGxq++2n2L0op1kZOdS0s+TKT0b0bZWqL3LEnFqCoAiImIXWeY8JizbQ9ym4wA0qxzC1D6NKBusKV+RoqYAKCIiNnfobAbRsxP4Iykdkwmi21Tn3+3vwkNTviI2oQAoIiI2tXjbSf6zeBeZOXmUDvDi/V6NuP+uMvYuS8SlKACKiIhNXM7JY+zSXXyz5SQALauWYmrvRoQG+di5MhHXowAoIiJF7kByOtFxCexPzsBkghfb3cXQB+/C3c1k79JEXJICoIiIFBnDMJi/9SRjvt1FltlCmUBvpvZuxL3VStu7NBGXpgAoIiJF4lJ2Lq8v2cWibX8CcP9dpXm/VyNKB3jbuTIRUQAUEZFCt/d0GjFxCRw6ewk3E7wUWZMhravhpilfkWJBAVBERAqNYRjM+f0E47/bTXauhfAgH6b1aUyzKiH2Lk1E/kYBUERECkV6lplXF+/iu+2nAGhTswxTejYixN/LzpWJyD8pAIqIyB3b9WcqMXEJHD2fiYebiZEdazL4/qqa8hUpphQARUTkthmGwf82HmPisr3k5FkoX8KXaX0ac3elkvYuTUSuQwFQRERuS1qWmVcW7mD5ziQA2tcO490nGlDCT1O+IsWdAqCIiNyy7SdSiJmTwIkLl/F0N/FK59o8fV9lTCZN+Yo4AgVAERG5aYZhMPPXo7z1w17MeQYRIb7M6NOEhhEl7F2aiNwCBUAREbkpKZk5jFywg/g9yQB0rhfOpB4NCPb1tHNlInKrFABFROSGEo5fZGjcNv5MuYyXuxuvPVybJ1tU0pSviINSABQRkWuyWAw+W3eYySv3kWsxqFTKj9ioJtQrH2zv0kTkDigAiohIgS5cymHE/O388scZAB5uUJa3HqtPoI+mfEUcnQKgiIhcZfPRCwyN20ZSWhbeHm6M7VqXPs0iNOUr4iQUAEVExMpiMfhozSGmxO8nz2JQtYw/sVFNqF02yN6liUghUgAUEREAzmVkM2xeIusOnAPgscblmdi9Hv7e+lMh4mzcbHkws9nMiRMn2LdvHxcuXLjtcd566y2aNm1KYGAgoaGhdO/enX379lm3X7hwgaFDh1KzZk18fX2pWLEiL7zwAqmpqfnGMZlMV33NnTv3tusSEXFUGw6d56Gp61h34Bw+nm6883gD3uvZUOFPxEkV+Ss7PT2d//3vf8ydO5fff/+dnJwcDMPAZDJRoUIFIiMjefbZZ2natOlNj7lmzRqio6Np2rQpubm5vPrqq0RGRrJnzx78/f05deoUp06d4t1336VOnTocO3aM5557jlOnTrFgwYJ8Y82cOZNOnTpZl0uUKFFYrYuIFHt5FoMPfzrA1J/3YzHgrtAAYvs2oUZYoL1LE5EiVKQBcMqUKbzxxhtUq1aNrl278uqrr1KuXDl8fX25cOECu3btYt26dURGRtK8eXOmT5/OXXfddcNxV6xYkW951qxZhIaGsnXrVh544AHq1avHwoULrdurVavGG2+8Qb9+/cjNzcXD4//aLlGiBOHh4YXXtIiIg0jLgYFfbmXD4b9mZHreU4Hx3erh6+Vu58pEpKgVaQDcvHkza9eupW7dugVub9asGU8//TQff/wxM2fOZN26dTcVAP/pytRuSEjIdfcJCgrKF/4AoqOjeeaZZ6hatSrPPfccAwcOvOZVbtnZ2WRnZ1uX09LSgL+mts1m8y3XfT1XxivscYsL9ef4nL1HZ+9vzb5k3t7hTob5An5e7ozvWpvujcoBFsxmi73LKxTO/hyqvzsf25WZDMMw7F3EnbBYLHTr1o2UlBTWr19f4D7nzp3j7rvvpl+/frzxxhvW9RMnTuTBBx/Ez8+PH3/8kbFjx/LOO+/wwgsvFDjOuHHjGD9+/FXr4+Li8PPzK5yGRESKUJ4BK064Ef+nCQMTZf0MBtbII8zX3pWJ2E5mZiZRUVHWk0OuyOED4JAhQ/jhhx9Yv349FSpUuGp7WloaHTp0ICQkhKVLl+Lpee0bmI4ZM4aZM2dy4sSJArcXdAYwIiKCc+fOFfoPkNlsJj4+ng4dOly3Zkel/hyfs/fojP0lpWUxfP5ONh+9CMC9YRZmPN2GQD8fO1dWNJzxOfw79Xf70tLSKF26tEsHwCK/COTpp5++qf2++OKLWx47JiaGZcuWsXbt2gLDX3p6Op06dSIwMJDFixff8AeoefPmTJw4kezsbLy9va/a7u3tXeB6T0/PInvxFeXYxYH6c3zO3qOz9Ld63xmGf7OdC5dyCPD2YGK32rid3Eagn49T9Hc9zvIcXov6u70xXV2RB8BZs2ZRqVIlGjduTGGdbDQMg6FDh7J48WJWr15NlSpVrtonLS2Njh074u3tzdKlS/HxufH/cBMTEylZsmSBIU9ExBGZ8yy89+N+Pl5zCIC65YKIjWpC+WAvlp/cZufqRMReijwADhkyhDlz5nDkyBEGDhxIv379rnuxxs2Ijo4mLi6Ob7/9lsDAQJKSkgAIDg7G19eXtLQ0IiMjyczM5H//+x9paWnWCzbKlCmDu7s73333HcnJybRo0QIfHx/i4+N58803GTFixB33LCJSHPyZcpkX5mxj67G/pnz7t6zE6Idq4+PprjfBi7i4Ir8RdGxsLKdPn+bll1/mu+++IyIigp49e7Jy5crbPiP40UcfkZqaSps2bShbtqz1a968eQAkJCSwadMmdu7cSfXq1fPtc+X9fZ6ensTGxtKyZUsaNWrEJ598wpQpUxg7dmyh9S4iYi8/7Ummy7R1bD12kUAfDz7q24Txj9TDx1O3eBERG30UnLe3N3369KFPnz4cO3aMWbNm8fzzz5Obm8vu3bsJCAi4pfFuFBzbtGlzw306deqU7wbQIiLOICfXwjsr/uD/rT8CQMMKwUzv04SKpXSnAhH5Pzb/jB83NzdMJhOGYZCXl2frw4uIOK0TFzKJmbON7SdSAHj6viq80rkWXh42/dRPEXEANvmtkJ2dzZw5c+jQoQM1atRg586dzJgxg+PHj9/y2T8REbnail1JPDRtHdtPpBDs68lnT93DmK51FP5EpEBFfgbw+eefZ+7cuURERPD0008zZ84cSpcuXdSHFRFxCdm5eby1/A9m/XYUgCYVSzCtT2MqlNSUr4hcW5EHwI8//piKFStStWpV1qxZw5o1awrcb9GiRUVdioiIUzl2/hIxcdvY+edfH4f5r9ZVGRFZE093nfUTkesr8gD41FNPXfOzdUVE5PYs23GKVxbuJCM7l5J+nkzp2Yi2tULtXZaIOAib3AhaREQKR5Y5j4nL9jB703EAmlYuybQ+jSkbrA/zFZGbZ/OrgEVE5PYcOptB9OwE/khKx2SC6DbV+Xf7u/DQlK+I3CKb/NY4c+YMJ0+etC7n5uby2muv0bp1a1566SUyMzNtUYaIiMNasu1Puk5fzx9J6ZTy9+Krp5sxomNNhT8RuS02+c0xePBgvvzyS+vy5MmT+eyzz2jatClLly5l2LBhtihDRMThXM7JY9SCHfx7XiKZOXm0rFqKH168n/vvKmPv0kTEgdkkAO7YsYO2bdtal7/++mumTZvGu+++y9y5c/nuu+9sUYaIiEM5kJzOI7HrmbflBCYTvNjuLv73THNCg3zsXZqIOLgifQ/gwIEDATh16hRTpkzhs88+Iycnh3379rF48WJWrlyJxWLhzJkzPP300wB88cUXRVmSiIhDmL/lBGO+3c1lcx5lAr2Z2qsR91bXPVRFpHAUaQCcOXMmAGvXrmXQoEF07tyZefPmsXPnTubOnQvA+fPnWbp0qYKfiAhwKTuX17/dxaKEPwG4/67STOnZiDKB3nauTESciU2uAu7SpQtPP/003bp1Y8mSJbz88svWbb///jt16tSxRRkiIsXaH0lpRM9O4NDZS7iZ4KXImgxpXQ03N91LVUQKl00C4DvvvENwcDCJiYkMGzYs30UfmzZt4rnnnrNFGSIixZJhGMzbfIKxS3eTnWshPMiHaX0a06xKiL1LExEnZZMA6OPjw8SJEwvcNm7cOFuUICJSLGVk5/Lqop0s3X4KgDY1yzClZyNC/L3sXJmIODPdCFpExE52/ZlKTFwCR89n4u5m4uWONRl8f1VN+YpIkSvS28B06tSJjRs33nC/9PR03n77bWJjY4uyHBGRYsEwDL7ecJTHPvqNo+czKRfswzf/asm/9H4/EbGRIj0D+MQTT9CjRw+Cg4Pp2rUr99xzD+XKlcPHx4eLFy+yZ88e1q9fz/Lly+nSpQuTJ08uynJEROwuLcvMKwt3sHxnEgDta4fx7hMNKOGnKV8RsZ0iDYCDBg2iX79+zJ8/n3nz5vHpp5+SmpoKgMlkok6dOnTs2JHNmzdTu3btoixFRMTudpxMISZuG8cvZOLpbmJUp1oMalUFk0ln/UTEtor8PYDe3t7069ePfv36AZCamsrly5cpVaoUnp6eRX14ERG7MwyDmb8e5a0f9mLOM6hQ0pcZUU1oFFHC3qWJiIuy+UUgwcHBBAcH2/qwIiJ2kZppZuSC7fy4JxmATnXDefvxBgT76j/AImI/ugpYRKSIbDt+kZi4bfyZchkvdzdee7g2T7aopClfEbE7BUARkUJmsRh8vv4Ib6/4g1yLQaVSfsRGNaFeec1+iEjxoAAoIlKILl7K4aX52/nljzMAPNygLG89Vp9AH035ikjxoQAoIlJIthy9wNA52zidmoWXhxvjutalT7MITfmKSLFj0wCYkpLCggULOHToECNHjiQkJISEhATCwsIoX768LUsRESk0FovBR2sOMSV+P3kWg6ql/Ynt24TaZYPsXZqISIFsFgB37NhB+/btCQ4O5ujRowwePJiQkBAWLVrE8ePH+eqrr2xViohIoTmXkc3wb7azdv9ZAB5tXJ7/dq+Hv7cmWESk+CrSj4L7u+HDhzNgwAAOHDiAj4+Pdf1DDz3E2rVrbVWGiEih2Xj4PA9NXcfa/Wfx8XTjnccbMKVnQ4U/ESn2bPZbavPmzXzyySdXrS9fvjxJSUm2KkNE5I7lWQxm/HKQqT/vx2LAXaEBxPZtQo2wQHuXJiJyU2wWAL29vUlLS7tq/f79+ylTpoytyhARuSNn0rMYNi+RXw+eB+CJuysw/pG6+HnprJ+IOA6bTQF369aNCRMmYDabgb8+C/j48eOMGjWKHj162KoMEZHb9uvBczw0dT2/HjyPn5c7U3o2ZPITDRX+RMTh2CwAvvfee2RkZBAaGsrly5dp3bo11atXJzAwkDfeeOOWxnrrrbdo2rQpgYGBhIaG0r17d/bt25dvn6ysLKKjoylVqhQBAQH06NGD5OTkfPscP36cLl264OfnR2hoKCNHjiQ3N/eOexUR55KbZ2HKj/vo9/kmzmVkUys8kKUxrXisSQV7lyYiclts9t/W4OBg4uPjWb9+PTt27CAjI4MmTZrQvn37Wx5rzZo1REdH07RpU3Jzc3n11VeJjIxkz549+Pv7AzBs2DC+//575s+fT3BwMDExMTz22GP8+uuvAOTl5dGlSxfCw8P57bffOH36NE899RSenp68+eabhdq7iDiu5LQshi/Yxe9HLgDQp1lFxnatg4+nu50rExG5fTaft2jVqhWtWrW6ozFWrFiRb3nWrFmEhoaydetWHnjgAVJTU/n888+Ji4vjwQcfBGDmzJnUrl2bjRs30qJFC3788Uf27NnDTz/9RFhYGI0aNWLixImMGjWKcePG4eXldUc1iojj23vRxLjYDVzMNOPv5c5bPRrQrWE5e5clInLHbBYAJ0yYcN3tY8aMue2xU1NTAQgJCQFg69atmM3mfGcXa9WqRcWKFdmwYQMtWrRgw4YN1K9fn7CwMOs+HTt2ZMiQIezevZvGjRtfdZzs7Gyys7Oty1cuajGbzdb3NhaWK+MV9rjFhfpzfM7cY26ehffi9/P//nAHzNQpG8jUXg2oXMrfafp15ufvCmfvUf3d+diuzGQYhmGLA/0zUJnNZo4cOYKHhwfVqlUjISHhtsa1WCx069aNlJQU1q9fD0BcXBwDBw7MF9YAmjVrRtu2bXn77bd59tlnOXbsGCtXrrRuz8zMxN/fn+XLl9O5c+erjjVu3DjGjx9/1fq4uDj8/Pxuq34RKV4uZsOXB9w5kv7Xx7fdH2bhkcoWPG32jmkRKWqZmZlERUWRmppKUJBrfmKPzc4Abtu27ap1aWlpDBgwgEcfffS2x42OjmbXrl3W8FeURo8ezfDhw63LaWlpREREEBkZWeg/QGazmfj4eDp06ICnp/N9iLz6c3zO2OMv+87ywcJdpFw2E+DtzhOVchjZu73T9Pd3zvj8/ZOz96j+bl9Bt6VzNXa9d0FQUBDjx4+na9euPPnkk7f8+JiYGJYtW8batWupUOH/rsYLDw8nJyeHlJQUSpQoYV2fnJxMeHi4dZ/ff/8933hXrhK+ss8/eXt74+3tfdV6T0/PInvxFeXYxYH6c3zO0GNOroV3VvzB/1t/BICGFYKZ8kR9dm1c7RT9XY+z9wfO36P6u70xXZ3dJzVSU1Ot7+G7WYZhEBMTw+LFi/nll1+oUqVKvu133303np6e/Pzzz9Z1+/bt4/jx47Rs2RKAli1bsnPnTs6cOWPdJz4+nqCgIOrUqXMHHYmIIzlxIZOen2ywhr+n76vC/OfupWKI3tYhIs7LZmcAp02blm/ZMAxOnz7N119/XeD77a4nOjqauLg4vv32WwIDA60fJRccHIyvry/BwcEMGjSI4cOHExISQlBQEEOHDqVly5a0aNECgMjISOrUqcOTTz7JO++8Q1JSEq+99hrR0dEFnuUTEeezcncSI+dvJy0rlyAfD959oiGRdf+aATCb8+xcnYhI0bFZAHz//ffzLbu5uVGmTBn69+/P6NGjb2msjz76CIA2bdrkWz9z5kwGDBhgPZ6bmxs9evQgOzubjh078uGHH1r3dXd3Z9myZQwZMoSWLVvi7+9P//79b3i1sog4vuzcPN5a/gezfjsKQOOKJZjepzEVSuqsn4i4BpsFwCNHjhTaWDdz4bKPjw+xsbHExsZec59KlSqxfPnyQqtLRIq/Y+cvERO3jZ1//vXWk389UJURHWvi6W73d8SIiNiMPsBSRFzG9ztO88rCHaRn51LSz5P3ejbkwVphN36giIiTsVkAvHTpEpMmTeLnn3/mzJkzWCyWfNsPHz5sq1JExMVkmfP47/d7+N/G4wA0rVySaX0aUzbY186ViYjYh80C4DPPPMOaNWt48sknKVu2LCaTyVaHFhEXdvhsBtFx29h7Og2TCZ5vU41h7WvgoSlfEXFhNguAP/zwA99//z333XefrQ4pIi7u28Q/eXXRTi7l5FHK34v3ezXigRpl7F2WiIjd2SwAlixZ0vpZvSIiRelyTh7jv9vN3M0nAGhRNYSpvRsTFuRj58pERIoHm82BTJw4kTFjxpCZmWmrQ4qICzp4Jp3usb8yd/MJTCZ4sd1dzH6mhcKfiMjf2OwM4HvvvcehQ4cICwujcuXKV30MS0JCgq1KEREntWDrSV5fsovL5jzKBHoztVcj7q1e2t5liYgUOzYLgN27d7fVoUTExWTm5PL6kt0sTDgJQKvqpXm/VyPKBOpTfURECmKzADh27FhbHUpEXMi+pHSen72VQ2cv4WaC4R1q8Hyb6ri56U4DIiLXYtMbQaekpLBgwQIOHTrEyJEjCQkJISEhgbCwMMqXL2/LUkTEwRmGwbzNJxi7dDfZuRbCgryZ1rsxzauWsndpIiLFns0C4I4dO2jfvj3BwcEcPXqUwYMHExISwqJFizh+/DhfffWVrUoREQeXkZ3Lfxbv5NvEUwC0rlGGKT0bUipAU74iIjfDZlcBDx8+nAEDBnDgwAF8fP7varyHHnqItWvX2qoMEXFwu0+l0nX6er5NPIW7m4lXOtdi5oCmCn8iIrfAZmcAN2/ezCeffHLV+vLly5OUlGSrMkTEQRmGwf82HWfisj3k5FooF+zD9KjG3F1J9xcVEblVNguA3t7epKWlXbV+//79lCmjO/OLyLWlZZkZvXAn3+88DUD72qFMfrwhJf297FyZiIhjstkUcLdu3ZgwYQJmsxkAk8nE8ePHGTVqFD169LBVGSLiYHacTOHhaev5fudpPNxMvNalNp89dY/Cn4jIHbBZAHzvvffIyMggNDSUy5cv07p1a6pXr05gYCBvvPGGrcoQEQdhGAYzfz1Cj49+4/iFTCqU9GXBkHt55v6qmEy6xYuIyJ2w2RRwcHAw8fHxrF+/nh07dpCRkUGTJk1o3769rUoQEQeRmmnm5YXbWbk7GYBOdcN5+/EGBPt63uCRIiJyM2wWAE+cOEFERAStWrWiVatWtjqsiDiYbccvEhO3jT9TLuPl7sZ/utTmqZaVdNZPRKQQ2WwKuHLlyrRu3ZrPPvuMixcv2uqwIuIgDMPgs7WHeeLjDfyZcplKpfxYOORe+t9bWeFPRKSQ2SwAbtmyhWbNmjFhwgTKli1L9+7dWbBgAdnZ2bYqQUSKqYuXcnjmyy28sXwvuRaDLg3KsmxoK+pXCLZ3aSIiTslmAbBx48ZMnjyZ48eP88MPP1CmTBmeffZZwsLCePrpp21VhogUM1uOXuChaev4+Y8zeHm48caj9ZjRpzGBPnq/n4hIUbFZALzCZDLRtm1bPvvsM3766SeqVKnCl19+aesyRMTOLBaDD1cfpNenGzmdmkXV0v4sef4++jbX+/1ERIqazS4CueLkyZPExcURFxfHrl27aNmyJbGxsbYuQ0Ts6HxGNsO/2c6a/WcB6N6oHP99tD4B3jb/lSQi4pJs9tv2k08+IS4ujl9//ZVatWrRt29fvv32WypVqmSrEkSkGNh4+Dwvzt1Gclo2Pp5uTOhWjyfuqaCzfiIiNmSzAPjf//6XPn36MG3aNBo2bGirw4pIMZFnMYhddZAPftqPxYDqoQHERjWhZnigvUsTEXE5NguAx48f1//wRVzUmfQshs1L5NeD5wF44u4KjH+kLn5emvIVEbEHm10EYjKZWLduHf369aNly5b8+eefAHz99desX7/eVmWIiI39evAcD01dz68Hz+Pr6c6Ung2Z/ERDhT8RETuyWQBcuHAhHTt2xNfXl23btlnv/5eamsqbb75pqzJExEbyLAZT4vfT7/NNnMvIplZ4IN8NbcVjTSrYuzQREZdnswD43//+l48//pjPPvsMT8//u7/XfffdR0JCgq3KEBEbSE7LIuqzjUz7+QCGAX2aRbAk+j6qhwbYuzQREcGG7wHct28fDzzwwFXrg4ODSUlJsVUZIlLE1uw/y7B5iVy4lIO/lztvPlafRxqVt3dZIiLyNzYLgOHh4Rw8eJDKlSvnW79+/XqqVq1qqzJEpIjk5ll4L34/H60+BECdskHE9m1CldL+dq5MRET+yWZTwIMHD+bFF19k06ZNmEwmTp06xezZsxkxYgRDhgy5pbHWrl1L165dKVeuHCaTiSVLluTbbjKZCvyaPHmydZ/KlStftX3SpEmF0aqIyzmVcpnen260hr8nW1Ri0fP3KvyJiBRTNjsD+Morr2CxWGjXrh2ZmZk88MADeHt7M2LECIYOHXpLY126dImGDRvy9NNP89hjj121/fTp0/mWf/jhBwYNGkSPHj3yrZ8wYQKDBw+2LgcG6n5kIrdq1b6zvLxoFymZZgK9PXj78QY8VL+svcsSEZHrsFkANJlM/Oc//2HkyJEcPHiQjIwM6tSpQ0BAAJcvX8bX1/emx+rcuTOdO3e+5vbw8PB8y99++y1t27a9aqo5MDDwqn1F5OaY8ywsOerGqg3bAGhQIZgZfZpQsZSfnSsTEZEbsfmNuLy8vKhTpw4A2dnZTJkyhXfeeYekpKQiOV5ycjLff/89X3755VXbJk2axMSJE6lYsSJRUVEMGzYMD49rf0uys7Ott68BSEtLA8BsNmM2mwu17ivjFfa4xYX6c2wnL17mxXnb2XH6r3eR9G9ZkZGRNfD2cHOanp39OXT2/sD5e1R/dz62KzMZhmEU5QGys7MZN24c8fHxeHl58fLLL9O9e3dmzpzJf/7zH9zd3YmJiWHUqFG3Nb7JZGLx4sV07969wO3vvPMOkyZN4tSpU/j4+FjXT5kyhSZNmhASEsJvv/3G6NGjGThwIFOmTLnmscaNG8f48eOvWh8XF4efn856iGvYccFE3EE3LueZ8HU3iKpuoUFIkf4aEREpVJmZmURFRZGamkpQUJC9y7GLIg+Ao0aN4pNPPqF9+/b89ttvnD17loEDB7Jx40ZeffVVnnjiCdzd3W97/BsFwFq1atGhQwemT59+3XG++OIL/vWvf5GRkYG3t3eB+xR0BjAiIoJz584V+g+Q2WwmPj6eDh065LtvorNQf44nO9fCOyv389XG4wA0LB9E97AL9HrYeXr8O2d8Dv/O2fsD5+9R/d2+tLQ0Spcu7dIBsMingOfPn89XX31Ft27d2LVrFw0aNCA3N5ft27cX+WcDr1u3jn379jFv3rwb7tu8eXNyc3M5evQoNWvWLHAfb2/vAsOhp6dnkb34inLs4kD9OYZj5y8RE7eNnX+mAvDsA1X594NViV+5wml6vBb15/icvUf1d3tjuroiD4AnT57k7rvvBqBevXp4e3szbNiwIg9/AJ9//jl33303DRs2vOG+iYmJuLm5ERoaWuR1iTiS73ec5pWFO0jPzqWknyfv9WzIg7XC9B4aEREHVuQBMC8vDy8vr/87oIcHAQF39nFQGRkZHDx40Lp85MgREhMTCQkJoWLFisBfp3fnz5/Pe++9d9XjN2zYwKZNm2jbti2BgYFs2LCBYcOG0a9fP0qWLHlHtYk4iyxzHv/9fg//+/+nfO+pVJLpUY0pG3zzV+yLiEjxVOQB0DAMBgwYYJ06zcrK4rnnnsPfP/8NYhctWnTTY27ZsoW2bdtal4cPHw5A//79mTVrFgBz587FMAz69Olz1eO9vb2ZO3cu48aNIzs7mypVqjBs2DDrOCKu7si5S0TPTmDP6b+udH++TTWGd6iBh7vN7h0vIiJFqMgDYP/+/fMt9+vX747HbNOmDTe6duXZZ5/l2WefLXBbkyZN2Lhx4x3XIeKMvk38k1cX7eRSTh6l/L2Y0qsRrWuUsXdZIiJSiIo8AM6cObOoDyEihSDLnMe4pbuZu/kEAC2qhjC1d2PCgnxu8EgREXE0Nr8RtIgUPwfPpBM9exv7ktMxmWDog3fxYru7cHcr+ou1RETE9hQARVzcgq0neX3JLi6b8ygd4M3U3o24r3ppe5clIiJFSAFQxEVl5uTy+pLdLEw4CcB91Uvxfq9GhAZqyldExNkpAIq4oH1J6UTHJXDwTAZuJhjWvgbPt62uKV8RERehACjiQgzD4JstJxjz7W6ycy2EBXkztXdjWlQtZe/SRETEhhQARVxERnYury3eyZLEUwC0rlGGKT0bUiqg4M++FhER56UAKOIC9pxKIyYugcPnLuHuZmJEZE3+9UBV3DTlKyLikhQARZyYYRjM3nScCcv2kJNroWywD9P7NOaeyiH2Lk1EROxIAVDESaVlmRm9aCff7zgNQLtaobz7RENK+nvd4JEiIuLsFABFnNDOk6nEzEng2PlMPNxMvNK5FoNaVcFk0pSviIgoAIo4FcMw+PK3o7y5/A9y8iyUL+HLjKjGNK5Y0t6liYhIMaIAKOIkUjPNvLxwOyt3JwMQWSeMyY83JNjP086ViYhIcaMAKOIEth2/yNA52zh58TJe7m68+lAt+t9bWVO+IiJSIAVAEQdmGAafrz/CpB/+INdiUDHEj9ioJtSvEGzv0kREpBhTABRxUBcv5TBi/nZ+/uMMAF3ql+WtHvUJ8tGUr4iIXJ8CoIgD2nrsAkPjtnEqNQsvDzfGPFyHvs0raspXRERuigKgiAOxWAw+WXuYd3/cR57FoEppf2ZENaZuOU35iojIzVMAFHEQ5zOyGf7NdtbsPwvAI43K8caj9Qnw1stYRERujf5yiDiATYfP88LcbSSnZePt4caER+rS854ITfmKiMhtUQAUKcbyLAYfrjrI+z/tx2JA9dAAYqOaUDM80N6liYiIA1MAFCmmzqZn8+952/j14HkAejSpwMTudfHz0stWRETujP6SiBRDvx48x4tzEzmXkY2vpzsTu9fj8bsr2LssERFxEgqAIsVInsVg6s8HmP7LAQwDaoYFEtu3MdVDNeUrIiKFRwFQpJhITsvixbnb2Hj4AgC9m0YwtmtdfL3c7VyZiIg4GwVAkWJgzf6zDJ+XyPlLOfh7ufPmY/V5pFF5e5clIiJOSgFQxI5y8yxMid/Ph6sPAVC7bBCxUY2pWibAzpWJiIgzUwAUsZNTKZd5Yc42thy7CMCTLSrxny618fHUlK+IiBQtBUARO/jlj2SGf7OdlEwzgd4eTOrRgC4Nytq7LBERcREKgCI2ZM6zMHnlPj5dexiA+uWDmRHVmEql/O1cmYiIuBIFQBEbOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOUrIiK25WbvAm7H2rVr6dq1K+XKlcNkMrFkyZJ82wcMGIDJZMr31alTp3z7XLhwgb59+xIUFESJEiUYNGgQGRkZNuxCXMnK3Uk8NHUdiSdSCPLx4JMn72Zct7oKfyIiYhcOeQbw0qVLNGzYkKeffprHHnuswH06derEzJkzrcve3t75tvft25fTp08THx+P2Wxm4MCBPPvss8TFxRVp7eJacnItvLliNzN/PQpAo4gSTO/TmIgQP/sWJiIiLs0hA2Dnzp3p3Lnzdffx9vYmPDy8wG179+5lxYoVbN68mXvuuQeA6dOn89BDD/Huu+9Srly5Qq9ZXM+5LOj9/35n559pAAy+vwojO9bCy8MhT7yLiIgTccgAeDNWr15NaGgoJUuW5MEHH+S///0vpUqVAmDDhg2UKFHCGv4A2rdvj5ubG5s2beLRRx8tcMzs7Gyys7Oty2lpf/1hN5vNmM3mQq3/yniFPW5x4ez9Ldv+J5N3uJOVl0YJX0/e7lGPB2uWASMPsznP3uUVCmd/DtWf43P2HtXfnY/tykyGYRj2LuJOmEwmFi9eTPfu3a3r5s6di5+fH1WqVOHQoUO8+uqrBAQEsGHDBtzd3XnzzTf58ssv2bdvX76xQkNDGT9+PEOGDCnwWOPGjWP8+PFXrY+Li8PPT1N6AmYLLDnqxvrkv87yVQk06H9XHiW9b/BAERGxmczMTKKiokhNTSUoKMje5diFU54B7N27t/Xf9evXp0GDBlSrVo3Vq1fTrl272x539OjRDB8+3LqclpZGREQEkZGRhf4DZDabiY+Pp0OHDnh6ehbq2MWBM/Z39PwlXpi7g73J6QC0L2fhvYFt8fNxzvTnjM/h36k/x+fsPaq/23dlBs+VOWUA/KeqVatSunRpDh48SLt27QgPD+fMmTP59snNzeXChQvXfN8g/PW+wn9eTALg6elZZC++ohy7OHCW/r5N/JNXF+3kUk4eIf5evNujHukHfsfPx9sp+rseZ3kOr0X9OT5n71H93d6Yrs4l3o1+8uRJzp8/T9myf33SQsuWLUlJSWHr1q3WfX755RcsFgvNmze3V5nigLLMeYxetIMX5yZyKSeP5lVC+OHF+7n/rtL2Lk1EROSaHPIMYEZGBgcPHrQuHzlyhMTEREJCQggJCWH8+PH06NGD8PBwDh06xMsvv0z16tXp2LEjALVr16ZTp04MHjyYjz/+GLPZTExMDL1799YVwHLTDp7JIHp2AvuS0zGZYGjb6rzQ7i483N30BmMRESnWHDIAbtmyhbZt21qXr7wvr3///nz00Ufs2LGDL7/8kpSUFMqVK0dkZCQTJ07MN307e/ZsYmJiaNeuHW5ubvTo0YNp06bZvBdxTAu3nuS1Jbu4bM6jdIA3H/RqRCud9RMREQfhkAGwTZs2XO/i5ZUrV95wjJCQEN30WW5ZZk4uY77dzYKtJwG4r3op3u/ViNBAHztXJiIicvMcMgCK2MP+5HSiZydw4EwGbib4d/saRLetjrubyd6liYiI3BIFQJEbMAyDb7acYOzS3WSZLYQGejOtT2NaVC1l79JERERuiwKgyHVkZOfy2uKdLEk8BcADNcowpWdDSgc45739RETENSgAilzDnlNpxMQlcPjcJdzdTLwUWYPnHqiGm6Z8RUTEwSkAivyDYRjM3nScCcv2kJNroWywD9P6NKZp5RB7lyYiIlIoFABF/iY9y8wri3by/Y7TADxYK5T3nmhISX8vO1cmIiJSeBQARf5/O0+mEjMngWPnM/FwMzGqUy0GtaqiKV8REXE6CoDi8gzD4MvfjvLm8j/IybNQvoQv06Ma06RiSXuXJiIiUiQUAMWlpV42M2rBDlbsTgIgsk4Ykx9vSLCfPihcRESclwKguKzEEynExCVw8uJlPN1NvPpQbQbcWxmTSVO+IiLi3BQAxeUYhsHn648w6Yc/yLUYVAzxY0ZUYxpUKGHv0kRERGxCAVBcSkpmDiPmb+envWcAeKh+OJN6NCDIR1O+IiLiOhQAxWVsPXaBoXHbOJWahZeHG68/XId+zStqyldERFyOAqA4PYvF4JO1h3n3x33kWQyqlPZnRlRj6pYLtndpIiIidqEAKE7tfEY2L83fzup9ZwHo1rAcbz5WnwBv/eiLiIjr0l9BcVqbDp/nhbnbSE7LxtvDjfHd6tKraYSmfEVExOUpAIrTybMYfLjqIO//tB+LAdXK+BPbtwm1woPsXZqIiEixoAAoTuVsejbD5iWy/uA5AB5rUp6Jj9TDX1O+IiIiVvqrKE7jt4PneHFeImfTs/H1dGfCI3V54p4Ie5clIiJS7CgAisPLsxhM/fkA0385gGFAjbAAYqOacFdYoL1LExERKZYUAMWhJadl8eLcbWw8fAGA3k0jGNu1Lr5e7nauTEREpPhSABSHtXb/WYbNS+T8pRz8vdx587H6PNKovL3LEhERKfYUAMXh5OZZmBK/nw9XHwKgdtkgYqMaU7VMgJ0rExERcQwKgOJQTqde5oU529h89CIAfZtX5PWH6+DjqSlfERGRm6UAKA5j1R9nGP5NIhczzQR4ezCpR30eblDO3mWJiIg4HAVAKfbMeRbeXbmPT9YeBqBe+SBio5pQqZS/nSsTERFxTAqAUqydvJjJ0Dnb2HY8BYAB91Zm9EO18PbQlK+IiMjtUgCUYuvH3UmMXLCD1MtmAn08mPx4AzrVK2vvskRERByeAqAUOzm5Ft76YS8zfz0KQMOIEszo05iIED/7FiYiIuIkFAClWDl+PpOYOQnsOJkKwDOtqvByp1p4ebjZuTIRERHnoQAoxcbynacZtWAH6dm5BPt68t4TDWlfJ8zeZYmIiDgdhzytsnbtWrp27Uq5cuUwmUwsWbLEus1sNjNq1Cjq16+Pv78/5cqV46mnnuLUqVP5xqhcuTImkynf16RJk2zciQBkmfN4fckunp+dQHp2LndXKsnyF+9X+BMRESkiDhkAL126RMOGDYmNjb1qW2ZmJgkJCbz++uskJCSwaNEi9u3bR7du3a7ad8KECZw+fdr6NXToUFuUL39z9Pwlenz0G19vPAbAc62rMffZFpQv4WvnykRERJyXQ04Bd+7cmc6dOxe4LTg4mPj4+HzrZsyYQbNmzTh+/DgVK1a0rg8MDCQ8PLxIa5VrSzhn4tUPN3IpJ48Qfy+m9GxIm5qh9i5LRETE6TlkALxVqampmEwmSpQokW/9pEmTmDhxIhUrViQqKophw4bh4XHtb0l2djbZ2dnW5bS0NOCvaWez2VyoNV8Zr7DHLQ6yzHlMWLaX+QfcgTyaVi7JlCfqEx7k4zT9OvPzd4Wz96j+HJ+z96j+7nxsV2YyDMOwdxF3wmQysXjxYrp3717g9qysLO677z5q1arF7NmzreunTJlCkyZNCAkJ4bfffmP06NEMHDiQKVOmXPNY48aNY/z48Vetj4uLw89Ptyi5GcmXYeZ+d05nmjBh0KG8QacIC+4me1cmIiKuIjMzk6ioKFJTUwkKCrJ3OXbh1AHQbDbTo0cPTp48yerVq6/7JH/xxRf861//IiMjA29v7wL3KegMYEREBOfOnSv0HyCz2Ux8fDwdOnTA09OzUMe2lyWJpxj73V4yc/Io5e9Jr4pZxDzR3mn6+ztnfP7+ydl7VH+Oz9l7VH+3Ly0tjdKlS7t0AHTaKWCz2UzPnj05duwYv/zyyw2f4ObNm5Obm8vRo0epWbNmgft4e3sXGA49PT2L7MVXlGPbSmZOLmO/3c38rScBuLdaKSb3qMeWdT87RX/X4+z9gfP3qP4cn7P3qP5ub0xX55QB8Er4O3DgAKtWraJUqVI3fExiYiJubm6EhuoihMK0Pzmd6NkJHDiTgZsJXmxXg5gHq2PJy7V3aSIiIi7LIQNgRkYGBw8etC4fOXKExMREQkJCKFu2LI8//jgJCQksW7aMvLw8kpKSAAgJCcHLy4sNGzawadMm2rZtS2BgIBs2bGDYsGH069ePkiVL2qstp2IYBvO3nGTM0l1kmS2EBnoztXdjWlb7K4xb8uxcoIiIiAtzyAC4ZcsW2rZta10ePnw4AP3792fcuHEsXboUgEaNGuV73KpVq2jTpg3e3t7MnTuXcePGkZ2dTZUqVRg2bJh1HLkzl7Jz+c/inSxJ/Ovm2/ffVZr3ezWidEDB760UERER23LIANimTRuud+3Kja5radKkCRs3bizssgTYcyqNmLgEDp+7hLubieEdajCkdTXc3HSZr4iISHHhkAFQih/DMIj7/Tjjv9tDTq6F8CAfpkc1pmnlEHuXJiIiIv+gACh3LD3LzOhFO1m24zQAbWuW4b2ejQjx97JzZSIiIlIQBUC5I7v+TCU6LoFj5zPxcDPxcqeaPNOqqqZ8RUREijEFQLkthmHw1YZjvPH9XnLyLJQv4cu0Po25u5KuohYRESnuFADllqVeNjNqwQ5W7P7r9jod6oQx+fEGlPDTlK+IiIgjUACUW5J4IoWYuAROXryMp7uJ0Z1rM/C+yphMmvIVERFxFAqAclMMw+Dz9Ud4e8UfmPMMIkJ8mdGnCQ0jSti7NBEREblFCoByQymZOYyYv52f9p4BoHO9cCb1aECwrz5LUURExBEpAMp1bT12gaFx2ziVmoWXuxuvP1ybfi0qacpXRETEgSkASoEsFoNP1x1m8sp95FkMKpfyY0ZUE+qVD7Z3aSIiInKHFADlKuczsnlp/nZW7zsLQNeG5Xjz0XoE+mjKV0RExBkoAEo+vx+5wNA5CSSnZePt4ca4bnXp3TRCU74iIiJORAFQgL+mfD9cfZAp8fuxGFC1jD+xUU2oXTbI3qWJiIhIIVMAFM6mZzP8m0TWHTgHwGONyzOxez38vfXjISIi4oz0F97F/XbwHC/OS+RsejY+nm5MeKQeT9xdQVO+IiIiTkwB0EXlWQym/XyAab8cwDDgrtAAPuzbhLvCAu1dmoiIiBQxBUAXdCYtixfmbmPj4QsA9LynAuO71cPXy93OlYmIiIgtKAC6mLX7zzJsXiLnL+Xg5+XOG4/W49HGFexdloiIiNiQAqCLyM2z8P5P+/lw9SEMA2qFBxLbtwnVygTYuzQRERGxMQVAF3A69TIvzknk96N/TflGNa/ImIfr4OOpKV8RERFXpADo5Fb9cYbh3yRyMdNMgLcHbz1Wn64Ny9m7LBEREbEjBUAnZc6z8O7KfXyy9jAA9coHMaNPEyqX9rdzZSIiImJvCoBO6M+UywyNSyDheAoA/VtW4tUutfH20JSviIiIKAA6nfg9yYyYv53Uy2YCfTx4p0cDOtcva++yREREpBhRAHQSObkWJv3wB1/8egSAhhWCmRHVhIgQPztXJiIiIsWNAqATOHEhk5i4BLafTAVgUKsqjOpUCy8PNztXJiIiIsWRAqCD+2HnaV5euIP0rFyCfT1594mGdKgTZu+yREREpBhTAHRQWeY83ly+l682HAOgScUSTOvTmAolNeUrIiIi16cA6ICOnrtEdFwCu0+lAfCv1lUZEVkTT3dN+YqIiMiNKQA6mKXbT/Hqop1kZOdS0s+TKT0b0bZWqL3LEhEREQeiAOggssx5jP9uD3N+Pw5As8ohTO3TiLLBvnauTERERByNQ84Zrl27lq5du1KuXDlMJhNLlizJt90wDMaMGUPZsmXx9fWlffv2HDhwIN8+Fy5coG/fvgQFBVGiRAkGDRpERkaGDbu4eYfOZtA99lfm/H4ckwli2lYnbnBzhT8RERG5LQ4ZAC9dukTDhg2JjY0tcPs777zDtGnT+Pjjj9m0aRP+/v507NiRrKws6z59+/Zl9+7dxMfHs2zZMtauXcuzzz5rqxZu2reJp+g6fT1/JKVTOsCLr55uxoiONfHQ+/1ERETkNjnkFHDnzp3p3LlzgdsMw+CDDz7gtdde45FHHgHgq6++IiwsjCVLltC7d2/27t3LihUr2Lx5M/fccw8A06dP56GHHuLdd9+lXLlyNuvlWjJzcok76MamDbsAaFm1FFN7NyI0yMfOlYmIiIijc8gAeD1HjhwhKSmJ9u3bW9cFBwfTvHlzNmzYQO/evdmwYQMlSpSwhj+A9u3b4+bmxqZNm3j00UcLHDs7O5vs7GzrclraX1fhms1mzGZzofVwIDmDofMSOXTWDRMwtG01nm9TFXc3U6Eex56u9OEs/fyTs/cHzt+j+nN8zt6j+rvzsV2Z0wXApKQkAMLC8t8MOSwszLotKSmJ0ND8V856eHgQEhJi3acgb731FuPHj79q/Y8//oifX+Hdf+/L/W4cOu9GkKfBU3dZqJa1j5Ur9hXa+MVJfHy8vUsoUs7eHzh/j+rP8Tl7j+rv1mVmZhb6mI7G6QJgURo9ejTDhw+3LqelpREREUFkZCRBQUGFdpz72pr57/d7udvjJD26dMDT07PQxi4uzGYz8fHxdOig/hyVs/eo/hyfs/eo/m7flRk8V+Z0ATA8PByA5ORkypYta12fnJxMo0aNrPucOXMm3+Nyc3O5cOGC9fEF8fb2xtvb+6r1np6ehfrDWdrTk8mPN2D58pOFPnZxo/4cn7P3qP4cn7P3qP5ub0xX53SXklapUoXw8HB+/vln67q0tDQ2bdpEy5YtAWjZsiUpKSls3brVus8vv/yCxWKhefPmNq9ZRERExJYc8gxgRkYGBw8etC4fOXKExMREQkJCqFixIv/+97/573//y1133UWVKlV4/fXXKVeuHN27dwegdu3adOrUicGDB/Pxxx9jNpuJiYmhd+/exeIKYBEREZGi5JABcMuWLbRt29a6fOV9ef3792fWrFm8/PLLXLp0iWeffZaUlBRatWrFihUr8PH5v1uozJ49m5iYGNq1a4ebmxs9evRg2rRpNu9FRERExNYcMgC2adMGwzCuud1kMjFhwgQmTJhwzX1CQkKIi4srivJEREREijWnew+giIiIiFyfAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjEN+EkhxceXTSNLS0gp9bLPZTGZmJmlpaXh6ehb6+Pam/hyfs/eo/hyfs/eo/m7flb/b1/tUMWenAHgH0tPTAYiIiLBzJSIiInKr0tPTCQ4OtncZdmEyXDn+3iGLxcKpU6cIDAzEZDIV6thpaWlERERw4sQJgoKCCnXs4kD9OT5n71H9OT5n71H93T7DMEhPT6dcuXK4ubnmu+F0BvAOuLm5UaFChSI9RlBQkFO+sK9Qf47P2XtUf47P2XtUf7fHVc/8XeGasVdERETEhSkAioiIiLgYBcBiytvbm7Fjx+Lt7W3vUoqE+nN8zt6j+nN8zt6j+pM7oYtARERERFyMzgCKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjALgHXjrrbdo2rQpgYGBhIaG0r17d/bt25dvn6ysLKKjoylVqhQBAQH06NGD5ORk6/bt27fTp08fIiIi8PX1pXbt2kydOvWqY61evZomTZrg7e1N9erVmTVr1g3r27FjB/fffz8+Pj5ERETwzjvvOFWPR48exWQyXfW1cePGYtff6dOniYqKokaNGri5ufHvf//7puo7fvw4Xbp0wc/Pj9DQUEaOHElubu5N9+cIPRb0HM6dO7fY9bdo0SI6dOhAmTJlCAoKomXLlqxcufKG9d3p67A491cYr0Fb9rh+/Xruu+8+SpUqha+vL7Vq1eL999+/YX2O8hzeTn+O9Hv073799Vc8PDxo1KjRDesrjL+FTsmQ29axY0dj5syZxq5du4zExETjoYceMipWrGhkZGRY93nuueeMiIgI4+effza2bNlitGjRwrj33nut2z///HPjhRdeMFavXm0cOnTI+Prrrw1fX19j+vTp1n0OHz5s+Pn5GcOHDzf27NljTJ8+3XB3dzdWrFhxzdpSU1ONsLAwo2/fvsauXbuMOXPmGL6+vsYnn3ziND0eOXLEAIyffvrJOH36tPUrJyen2PV35MgR44UXXjC+/PJLo1GjRsaLL754w9pyc3ONevXqGe3btze2bdtmLF++3ChdurQxevTom+6vuPdoGIYBGDNnzsz3HF6+fLnY9ffiiy8ab7/9tvH7778b+/fvN0aPHm14enoaCQkJ16ytMF6Hxbm/wngN2rLHhIQEIy4uzti1a5dx5MgR4+uvvzb8/Pyu+3w40nN4O/050u/RKy5evGhUrVrViIyMNBo2bHjd2grrb6EzUgAsRGfOnDEAY82aNYZhGEZKSorh6elpzJ8/37rP3r17DcDYsGHDNcd5/vnnjbZt21qXX375ZaNu3br59unVq5fRsWPHa47x4YcfGiVLljSys7Ot60aNGmXUrFnzlvv6u+LU45VfXNu2bbvNbq5WVP39XevWrW8qHC1fvtxwc3MzkpKSrOs++ugjIygoKN/zequKU4+G8VcAXLx48U3XfyO26O+KOnXqGOPHj7/m9qJ4HRan/oriNWgYtu3x0UcfNfr163fN7Y7+HN6oP0f8PdqrVy/jtddeM8aOHXvDAFhUfwudgaaAC1FqaioAISEhAGzduhWz2Uz79u2t+9SqVYuKFSuyYcOG645zZQyADRs25BsDoGPHjtcdY8OGDTzwwAN4eXnle8y+ffu4ePHirTX2j9qgePR4Rbdu3QgNDaVVq1YsXbr0lvopqC4o/P5ux4YNG6hfvz5hYWHWdR07diQtLY3du3ff9rjFqccroqOjKV26NM2aNeOLL77AuIPbk9qqP4vFQnp6+nX3KYrXYXHq74rCfA1eqQ2Kvsdt27bx22+/0bp162vu48jP4c30d4Wj/B6dOXMmhw8fZuzYsTdVS1H9LXQGHvYuwFlYLBb+/e9/c99991GvXj0AkpKS8PLyokSJEvn2DQsLIykpqcBxfvvtN+bNm8f3339vXZeUlJQvBFwZIy0tjcuXL+Pr63vVOElJSVSpUuWqx1zZVrJkSYfvMSAggPfee4/77rsPNzc3Fi5cSPfu3VmyZAndunUrVv3djmt9T65sux3FrUeACRMm8OCDD+Ln58ePP/7I888/T0ZGBi+88MItj2XL/t59910yMjLo2bPnNfcp7NdhceuvsF+DYJseK1SowNmzZ8nNzWXcuHE888wz16zHEZ/DW+nPkX6PHjhwgFdeeYV169bh4XFz8aUo/hY6CwXAQhIdHc2uXbtYv379bY+xa9cuHnnkEcaOHUtkZGQhVlc4iluPpUuXZvjw4dblpk2bcurUKSZPnnxbv7iKW39FoTj2+Prrr1v/3bhxYy5dusTkyZNvKwDaqr+4uDjGjx/Pt99+S2ho6G0f61YVt/4K+zUItulx3bp1ZGRksHHjRl555RWqV69Onz59bvt4t6K49ecov0fz8vKIiopi/Pjx1KhR47bHlv+jKeBCEBMTw7Jly1i1ahUVKlSwrg8PDycnJ4eUlJR8+ycnJxMeHp5v3Z49e2jXrh3PPvssr732Wr5t4eHh+a6WujJGUFBQgWfGrveYK9tuVXHssSDNmzfn4MGDN73/FUXd3+1wtOewsDRv3pyTJ0+SnZ19S4+zVX9z587lmWee4ZtvvrnqbQv/VJjPYXHsryC3+xoE2/VYpUoV6tevz+DBgxk2bBjjxo27Zk2O+BzeSn8FKY6/R9PT09myZQsxMTF4eHjg4eHBhAkT2L59Ox4eHvzyyy8F1lTYv0edir3fhOjILBaLER0dbZQrV87Yv3//VduvvPF1wYIF1nV//PHHVW983bVrlxEaGmqMHDmywOO8/PLLRr169fKt69Onz01dBPL3K7lGjx59y298Lc49FuSZZ54xGjdufNP726q/v7vVi0CSk5Ot6z755BMjKCjIyMrKuuHjryjOPRbkv//9r1GyZMmb3t+W/cXFxRk+Pj7GkiVLbqq2wngdFuf+CnKrr0HDsM/P6BXjx483KlWqdM3tjvYc/tON+itIcfw9mpeXZ+zcuTPf15AhQ4yaNWsaO3fuzHfF8d8V1t9CZ6QAeAeGDBliBAcHG6tXr853+XxmZqZ1n+eee86oWLGi8csvvxhbtmwxWrZsabRs2dK6fefOnUaZMmWMfv365RvjzJkz1n2u3CJl5MiRxt69e43Y2NirbpEyffp048EHH7Qup6SkGGFhYcaTTz5p7Nq1y5g7d+4NbwfgaD3OmjXLiIuLM/bu3Wvs3bvXeOONNww3Nzfjiy++KHb9GYZhbNu2zdi2bZtx9913G1FRUca2bduM3bt3W7cvWrQo3y+lK7eBiYyMNBITE40VK1YYZcqUueXbwBTnHpcuXWp89tlnxs6dO40DBw4YH374oeHn52eMGTOm2PU3e/Zsw8PDw4iNjc23T0pKinWfongdFuf+CuM1aMseZ8yYYSxdutTYv3+/sX//fuP//b//ZwQGBhr/+c9/rtmjIz2Ht9Ofo/0e/buCrgIuqr+FzkgB8A4ABX7NnDnTus/ly5eN559/3ihZsqTh5+dnPProo8bp06et28eOHVvgGP/8H9uqVauMRo0aGV5eXkbVqlXzHePKOP98zPbt241WrVoZ3t7eRvny5Y1JkyY5VY+zZs0yateubfj5+RlBQUFGs2bN8t1moLj1d6N9Zs6cafzzpPzRo0eNzp07G76+vkbp0qWNl156yTCbzU7T4w8//GA0atTICAgIMPz9/Y2GDRsaH3/8sZGXl1fs+mvdunWB+/Tv3z/fOIX9OizO/RXGa9CWPU6bNs2oW7eutd7GjRsbH374Yb6fN0d+Dm+nP0f7Pfp3BQXAovpb6IxMhnEH91sQEREREYeji0BEREREXIwCoIiIiIiLUQAUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARcSpGYZB+/bt6dix41XbPvzwQ0qUKMHJkyftUJmIiP0oAIqIUzOZTMycOZNNmzbxySefWNcfOXKEl19+menTp1OhQoVCPabZbC7U8URECpsCoIg4vYiICKZOncqIESM4cuQIhmEwaNAgIiMjady4MZ07dyYgIICwsDCefPJJzp07Z33sihUraNWqFSVKlKBUqVI8/PDDHDp0yLr96NGjmEwm5s2bR+vWrfHx8WH27Nn2aFNE5Kbps4BFxGV0796d1NRUHnvsMSZOnMju3bupW7cuzzzzDE899RSXL19m1KhR5Obm8ssvvwCwcOFCTCYTDRo0ICMjgzFjxnD06FESExNxc3Pj6NGjVKlShcqVK/Pee+/RuHFjfHx8KFu2rJ27FRG5NgVAEXEZZ86coW7duly4cIGFCxeya9cu1q1bx8qVK637nDx5koiICPbt20eNGjWuGuPcuXOUKVOGnTt3Uq9ePWsA/OCDD3jxxRdt2Y6IyG3TFLCIuIzQ0FD+9a9/Ubt2bbp378727dtZtWoVAQEB1q9atWoBWKd5Dxw4QJ8+fahatSpBQUFUrlwZgOPHj+cb+5577rFpLyIid8LD3gWIiNiSh4cHHh5//erLyMiga9euvP3221ftd2UKt2vXrlSqVInPPvuMcuXKYbFYqFevHjk5Ofn29/f3L/riRUQKiQKgiLisJk2asHDhQipXrmwNhX93/vx59u3bx2effcb9998PwPr1621dpohIodMUsIi4rOjoaC5cuECfPn3YvHkzhw4dYuXKlQwcOJC8vDxKlixJqVKl+PTTTzl48CC//PILw4cPt3fZIiJ3TAFQRFxWuXLl+PXXX8nLyyMyMpL69evz73//mxIlSuDm5oabmxtz585l69at1KtXj2HDhjF58mR7ly0icsd0FbCIiIiIi9EZQBEREREXowAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFREREXIwCoIiIiIiL+f8Aotl7LKm7ZkIAAAAASUVORK5CYII="}}]}],"model":"gpt-4o"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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Expert at analyzing various file types.\nYour personal goal is: Analyze and describe files - accurately\nTo give my best complete final answer to the task respond using - the exact following format:\n\nThought: I now can give a great answer\nFinal - Answer: Your final answer must be the great and the most complete as possible, - it must be outcome described.\n\nI MUST use these formats, my job depends on - it!"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: Describe - this image briefly.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"o4-mini"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"gpt-4o-mini"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABr0klEQVR4nO3dd3RU5fr+//ek90CAJJTQpXelKQoIBBBBFKUEFBDxiAl6QBDxKPWoKIpSYv0qqIcAUkVEMCpVAYEQuvQqJNQ0QpJJZv/+8Md8jISezGRmrtdaWYtd5tn3nckkF/uZvcdkGIaBiIiIiLgMN3sXICIiIiK2pQAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFREREXIwCoIiIiIiLUQAUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARURERFyMAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFRFzEgAEDqFy5sr3LEJFiQAFQxEnNmjULk8lk/fLw8KB8+fIMGDCAP//8097lFXvLli2jU6dOlCpVCh8fH2rUqMGIESM4f/68vUvL5+/P8fW+Vq9ebe9SRaQY8bB3ASJStCZMmECVKlXIyspi48aNzJo1i/Xr17Nr1y58fHzsXV6xNGLECN577z0aNmzIqFGjCAkJISEhgRkzZjB37lx+/vlnatasae8yAfj666/zLX/11VfEx8dftb527dp89tlnWCwWW5YnIsWUyTAMw95FiEjhmzVrFgMHDmTz5s3cc8891vWvvPIKb7/9NvPmzaNnz552rLB4mjNnDlFRUfTq1YvZs2fj7u5u3fb777/Ttm1bqlWrRkJCAh4etvs/9KVLl/D397/hfjExMcTGxqJf7SJyPZoCFnEx999/PwCHDh3Kt/6PP/7g8ccfJyQkBB8fH+655x6WLl1q3b5lyxZMJhNffvnlVWOuXLkSk8nEsmXLrOv+/PNPnn76acLCwvD29qZu3bp88cUX+R63evVqTCYT33zzDW+88QYVKlTAx8eHdu3acfDgwXz7Vq5cmQEDBlx17DZt2tCmTZt867Kzsxk7dizVq1fH29ubiIgIXn75ZbKzs2/4/Rk/fjwlS5bk008/zRf+AJo1a8aoUaPYuXMnCxYsAP4KXAEBAWRmZl41Vp8+fQgPDycvL8+67ocffuD+++/H39+fwMBAunTpwu7du/M9bsCAAQQEBHDo0CEeeughAgMD6du37w1rv5F/vgfw6NGjmEwm3n33XWJjY6latSp+fn5ERkZy4sQJDMNg4sSJVKhQAV9fXx555BEuXLhw1bg305OIFC8KgCIu5ujRowCULFnSum737t20aNGCvXv38sorr/Dee+/h7+9P9+7dWbx4MQD33HMPVatW5ZtvvrlqzHnz5lGyZEk6duwIQHJyMi1atOCnn34iJiaGqVOnUr16dQYNGsQHH3xw1eMnTZrE4sWLGTFiBKNHj2bjxo23HXgsFgvdunXj3XffpWvXrkyfPp3u3bvz/vvv06tXr+s+9sCBA+zbt49HHnmEoKCgAvd56qmnAKxht1evXly6dInvv/8+336ZmZl89913PP7449Yg+fXXX9OlSxcCAgJ4++23ef3119mzZw+tWrWyPi9X5Obm0rFjR0JDQ3n33Xfp0aPH7Xw7bsrs2bP58MMPGTp0KC+99BJr1qyhZ8+evPbaa6xYsYJRo0bx7LPP8t133zFixIh8j72VnkSkGDFExCnNnDnTAIyffvrJOHv2rHHixAljwYIFRpkyZQxvb2/jxIkT1n3btWtn1K9f38jKyrKus1gsxr333mvcdddd1nWjR482PD09jQsXLljXZWdnGyVKlDCefvpp67pBgwYZZcuWNc6dO5evpt69exvBwcFGZmamYRiGsWrVKgMwateubWRnZ1v3mzp1qgEYO3futK6rVKmS0b9//6v6bN26tdG6dWvr8tdff224ubkZ69aty7ffxx9/bADGr7/+es3v2ZIlSwzAeP/996+5j2EYRlBQkNGkSRPDMP76PpUvX97o0aNHvn2++eYbAzDWrl1rGIZhpKenGyVKlDAGDx6cb7+kpCQjODg43/r+/fsbgPHKK69ct46CREdHG9f61d6/f3+jUqVK1uUjR44YgFGmTBkjJSXFun706NEGYDRs2NAwm83W9X369DG8vLysPye30pOIFC86Ayji5Nq3b0+ZMmWIiIjg8ccfx9/fn6VLl1KhQgUALly4wC+//ELPnj1JT0/n3LlznDt3jvPnz9OxY0cOHDhgvWq4V69emM1mFi1aZB3/xx9/JCUlxXp2zTAMFi5cSNeuXTEMwzreuXPn6NixI6mpqSQkJOSrceDAgXh5eVmXr0xTHz58+Jb7nT9/PrVr16ZWrVr5jv3ggw8CsGrVqms+Nj09HYDAwMDrHiMwMJC0tDTgr6twn3jiCZYvX05GRoZ1n3nz5lG+fHlatWoFQHx8PCkpKfTp0ydfXe7u7jRv3rzAuoYMGXJrzd+mJ554guDgYOty8+bNAejXr1++9zk2b96cnJwc68/D7fQkIsWDrgIWcXKxsbHUqFGD1NRUvvjiC9auXYu3t7d1+8GDBzEMg9dff53XX3+9wDHOnDlD+fLladiwIbVq1WLevHkMGjQI+CvolC5d2hqwzp49S0pKCp9++imffvrpNcf7u4oVK+ZbvjI9ffHixVvu98CBA+zdu5cyZcrc1LH/7krwuxIEryU9PZ3Q0FDrcq9evfjggw9YunQpUVFRZGRksHz5cv71r39hMpmsdQHW79M//XPK2cPDwxrSi9o/v/9XwmBERESB6688L7fak4gUHwqAIk6uWbNm1quAu3fvTqtWrYiKimLfvn0EBARYbwsyYsQI63v4/ql69erWf/fq1Ys33niDc+fOERgYyNKlS+nTp4/1TNGV8fr160f//v0LHK9Bgwb5lv95scUVxt+uZL0SpP4pLy8v3+MtFgv169dnypQpBe7/z1Dzd7Vr1wZgx44d19zn2LFjpKWlUadOHeu6Fi1aULlyZb755huioqL47rvvuHz5cr73HF75vnz99deEh4dfNe4/ryj29vbGzc02kzTX+v7f6Hm51Z5EpPjQq1PEhbi7u/PWW2/Rtm1bZsyYwSuvvELVqlUB8PT0pH379jcco1evXowfP56FCxcSFhZGWloavXv3tm4vU6YMgYGB5OXl3dR4N6tkyZKkpKRctf7YsWPWHgCqVavG9u3badeu3TVD47XUqFGDGjVqsGTJEqZOnVrgVPBXX30FwMMPP5xvfc+ePZk6dSppaWnMmzePypUr06JFi3x1AYSGhhbq98WenLEnEVeh9wCKuJg2bdrQrFkzPvjgA7KysggNDaVNmzZ88sknnD59+qr9z549m2+5du3a1K9fn3nz5jFv3jzKli3LAw88YN3u7u5Ojx49WLhwIbt27brheDerWrVqbNy4kZycHOu6ZcuWceLEiXz79ezZkz///JPPPvvsqjEuX77MpUuXrnucMWPGcPHiRZ577rl8t28B2Lp1K2+//Tb16tW76qrcXr16kZ2dzZdffsmKFSuuusdix44dCQoK4s0338RsNl913Nv9vtiTM/Yk4ip0BlDEBY0cOZInnniCWbNm8dxzzxEbG0urVq2oX78+gwcPpmrVqiQnJ7NhwwZOnjzJ9u3b8z2+V69ejBkzBh8fHwYNGnTVVOWkSZNYtWoVzZs3Z/DgwdSpU4cLFy6QkJDATz/9VOC95G7kmWeeYcGCBXTq1ImePXty6NAh/ve//1nPQl3x5JNP8s033/Dcc8+xatUq7rvvPvLy8vjjjz/45ptvWLlyZb4bY/9T37592bx5M1OnTmXPnj307duXkiVLkpCQwBdffEGpUqVYsGABnp6e+R7XpEkTqlevzn/+8x+ys7OvuuVMUFAQH330EU8++SRNmjShd+/elClThuPHj/P9999z3333MWPGjFv+vtiTM/Yk4jLseg2yiBSZK7eB2bx581Xb8vLyjGrVqhnVqlUzcnNzDcMwjEOHDhlPPfWUER4ebnh6ehrly5c3Hn74YWPBggVXPf7AgQMGYADG+vXrCzx+cnKyER0dbURERBienp5GeHi40a5dO+PTTz+17nPlNjDz58/P99grtyeZOXNmvvXvvfeeUb58ecPb29u47777jC1btlx1GxjDMIycnBzj7bffNurWrWt4e3sbJUuWNO6++25j/PjxRmpq6s18+4wlS5YYHTp0MEqWLGl4e3sb1atXN1566SXj7Nmz13zMf/7zHwMwqlevfs19Vq1aZXTs2NEIDg42fHx8jGrVqhkDBgwwtmzZYt2nf//+hr+//03V+U+3cxuYyZMnX1VjQc/LtX6mbqYnESle9FFwIiIiIi5G7wEUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARURERFyMPgnkDlgsFk6dOkVgYOAtf+aoiIiI2IdhGKSnp1OuXLmrPsnIVSgA3oFTp04RERFh7zJERETkNpw4cYIKFSrYuwy7UAC8A4GBgcBfP0BBQUGFOrbZbObHH38kMjLyqs8cdQbqz/E5e4/qz/E5e4/q7/alpaURERFh/TvuihQA78CVad+goKAiCYB+fn4EBQU57Qtb/Tk2Z+9R/Tk+Z+9R/d05V377lmtOfIuIiIi4MAVAERERERejACgiIiLiYhQARURERFyMAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBiHDIAfffQRDRo0sH4CR8uWLfnhhx+s27OysoiOjqZUqVIEBATQo0cPkpOT841x/PhxunTpgp+fH6GhoYwcOZLc3FxbtyIiIiJicw4ZACtUqMCkSZPYunUrW7Zs4cEHH+SRRx5h9+7dAAwbNozvvvuO+fPns2bNGk6dOsVjjz1mfXxeXh5dunQhJyeH3377jS+//JJZs2YxZswYe7UkIiIiYjMO+VnAXbt2zbf8xhtv8NFHH7Fx40YqVKjA559/TlxcHA8++CAAM2fOpHbt2mzcuJEWLVrw448/smfPHn766SfCwsJo1KgREydOZNSoUYwbNw4vLy97tCUiIiJ/Yxj2rsB5OWQA/Lu8vDzmz5/PpUuXaNmyJVu3bsVsNtO+fXvrPrVq1aJixYps2LCBFi1asGHDBurXr09YWJh1n44dOzJkyBB2795N48aNCzxWdnY22dnZ1uW0tDTgrw+sNpvNhdrXlfEKe9ziQv05PmfvUf05Pmfv0dn723LkHG/vcKfmPalUDwsu1LGd9Xt2Kxw2AO7cuZOWLVuSlZVFQEAAixcvpk6dOiQmJuLl5UWJEiXy7R8WFkZSUhIASUlJ+cLfle1Xtl3LW2+9xfjx469a/+OPP+Ln53eHHRUsPj6+SMYtLtSf43P2HtWf43P2Hp2tP8OAVadNfHfcDYthYlTcBgbVtBTqMTIzMwt1PEfksAGwZs2aJCYmkpqayoIFC+jfvz9r1qwp0mOOHj2a4cOHW5fT0tKIiIggMjKSoKCgQj2W2WwmPj6eDh064OnpWahjFwfqz/E5e4/qz/E5e4/O2N/FzBxGLdrFqmPnAGgUYuGTZ1oTEuhbqMe5MoPnyhw2AHp5eVG9enUA7r77bjZv3szUqVPp1asXOTk5pKSk5DsLmJycTHh4OADh4eH8/vvv+ca7cpXwlX0K4u3tjbe391XrPT09i+zFV5RjFwfqz/E5e4/qz/E5e4/O0t+Woxd4Yc42TqVm4eXhxquda1Li7E5CAn0LvT9n+H7dKYe8CrggFouF7Oxs7r77bjw9Pfn555+t2/bt28fx48dp2bIlAC1btmTnzp2cOXPGuk98fDxBQUHUqVPH5rWLiIi4KovF4MPVB+n16UZOpWZRpbQ/i5+/l77NIjCZ7F2d83LIM4CjR4+mc+fOVKxYkfT0dOLi4li9ejUrV64kODiYQYMGMXz4cEJCQggKCmLo0KG0bNmSFi1aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wDN8IiIiUvjOZ2Qz/JvtrNl/FoBHGpXjjUfrE+DtoQs1iphDBsAzZ87w1FNPcfr0aYKDg2nQoAErV66kQ4cOALz//vu4ubnRo0cPsrOz6dixIx9++KH18e7u7ixbtowhQ4bQsmVL/P396d+/PxMmTLBXSyIiIi5l0+HzvDB3G8lp2Xh7uDG+W116NY3ApNN+NuGQAfDzzz+/7nYfHx9iY2OJjY295j6VKlVi+fLlhV2aiIiIXEeexeDDVQd5/6f9WAyoVsaf2L5NqBVeuBdTyvU5ZAAUERERx3M2PZt/z9vGrwfPA9CjSQUmdq+Ln5fiiK3pOy4iIiJF7teD53hxbiLnMrLx9XRnYvd6PH53BXuX5bIUAEVERKTI5FkMpv58gOm/HMAwoEZYALFRTbgrLNDepbk0BUAREREpEslpWbwwZxubjlwAoHfTCMZ2rYuvl7udKxMFQBERESl0a/afZfi8RM5fysHfy503H6vPI43K27ss+f8pAIqIiEihyc2z8F78fj5afQiA2mWDiI1qTNUyAXauTP5OAVBEREQKxamUy7wwZxtbjl0EoF+LirzWpQ4+npryLW4UAEVEROSO/fJHMsO/2U5KppkAbw8m9ajPww3K2bssuQYFQBEREblt5jwLk1fu49O1hwGoXz6YGVGNqVTK386VyfUoAIqIiMhtOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOVb3CkAioiIyC1buTuJkfO3k5aVS5CPB+883pBO9cLtXZbcJAVAERERuWk5uRbe+mEvM389CkDDiBLM6NOYiBA/+xYmt0QBUERERG7K8fOZxMxJYMfJVAAG31+FkR1r4eXhZufK5FYpAIqIiMgNLd95mlELdpCenUsJP0/efbwh7euE2bssuU0KgCIiInJNWeY83vh+L19vPAbA3ZVKMq1PY8qX8LVzZXInFABFRESkQEfOXSJ6dgJ7TqcBMKRNNYZ3qIGnu6Z8HZ0CoIiIiFzl28Q/eXXRTi7l5BHi78WUng1pUzPU3mVJIVEAFBEREasscx7jv9vNnN9PANCsSgjTejcmPNjHzpVJYVIAFBEREQAOnskgenYC+5LTMZkgpm11Xmx3Fx6a8nU6CoAiIiLCwq0neW3JLi6b8ygd4M0HvRrR6q7S9i5LiogCoIiIiAvLzMllzLe7WbD1JAD3VivFB70bERqoKV9npgAoIiLiovYnpxM9O4EDZzJwM8GL7WoQ82B13N1M9i5NipgCoIiIiIsxDINvtpxg7NLdZJkthAZ6M7V3Y1pWK2Xv0sRGFABFRERcSEZ2Lq8t3smSxFMA3H9Xad7v1YjSAd52rkxsSQFQRETERew5lUZMXAKHz13C3c3ES5E1eO6BarhpytflKACKiIg4OcMwiPv9OOO/20NOroWywT5M69OYppVD7F2a2IkCoIiIiBNLzzLzyqKdfL/jNAAP1grl3ScaEuLvZefKxJ4UAEVERJzUrj9TiY5L4Nj5TDzcTLzcqSbPtKqqKV9RABQREXE2hmHw5W9HeXP5H+TkWShfwpfpUY1pUrGkvUuTYkIBUERExImkXjYzasEOVuxOAqBDnTDefbwhwX6edq5MihMFQBERESeReCKFmLgETl68jKe7idGdazPwvsqYTJrylfwc8tOd33rrLZo2bUpgYCChoaF0796dffv2WbcfPXoUk8lU4Nf8+fOt+xW0fe7cufZoSURE5LYZhsH/W3eYxz/6jZMXLxMR4suC5+7l6VZVFP6kQA55BnDNmjVER0fTtGlTcnNzefXVV4mMjGTPnj34+/sTERHB6dOn8z3m008/ZfLkyXTu3Dnf+pkzZ9KpUyfrcokSJWzRgoiISKFIyTQzekkiP+09A8BD9cOZ1KMBQT6a8pVrc8gAuGLFinzLs2bNIjQ0lK1bt/LAAw/g7u5OeHh4vn0WL15Mz549CQgIyLe+RIkSV+0rIiLiCI6kw6QPN3A6NQsvDzdef7gO/ZpX1Fk/uSGHDID/lJqaCkBISME3tNy6dSuJiYnExsZetS06OppnnnmGqlWr8txzzzFw4MBrvnCys7PJzs62LqelpQFgNpsxm8132kY+V8Yr7HGLC/Xn+Jy9R/Xn+Jy5R4vF4NO1h5i2yx0LWVQu5cfUXg2oUzaI3Nxce5dXKIry+XPGn4lbZTIMw7B3EXfCYrHQrVs3UlJSWL9+fYH7PP/886xevZo9e/bkWz9x4kQefPBB/Pz8+PHHHxk7dizvvPMOL7zwQoHjjBs3jvHjx1+1Pi4uDj8/vztvRkRE5AYyzPC/g27sTfnrbfxNSlnoVc2Cj7udC3MgmZmZREVFkZqaSlBQkL3LsQuHD4BDhgzhhx9+YP369VSoUOGq7ZcvX6Zs2bK8/vrrvPTSS9cda8yYMcycOZMTJ04UuL2gM4ARERGcO3eu0H+AzGYz8fHxdOjQAU9P53sfh/pzfM7eo/pzfM7Y4+9HLzD8m50kp2fj7eFG94pmxvRth5eX832qR1E+f2lpaZQuXdqlA6BDTwHHxMSwbNky1q5dW2D4A1iwYAGZmZk89dRTNxyvefPmTJw4kezsbLy9va/a7u3tXeB6T0/PIvvlUpRjFwfqz/E5e4/qz/E5Q48Wi8GHqw8yJX4/FgOqlfFnas8GHEpYh5eXl8P3dz1F8fw58/frZjlkADQMg6FDh7J48WJWr15NlSpVrrnv559/Trdu3ShTpswNx01MTKRkyZIFhjwRERF7OJuezfBvEll34BwAjzUpz8RH6uHlZnDIzrWJ43LIABgdHU1cXBzffvstgYGBJCX9dbfz4OBgfH19rfsdPHiQtWvXsnz58qvG+O6770hOTqZFixb4+PgQHx/Pm2++yYgRI2zWh4iIyPX8dvAcL85L5Gx6Nr6e7kx4pC5P3BMB6EIGuTMOGQA/+ugjANq0aZNv/cyZMxkwYIB1+YsvvqBChQpERkZeNYanpyexsbEMGzYMwzCoXr06U6ZMYfDgwUVZuoiIyA3lWQym/nyA6b8cwDCgRlgAsVFNuCss0N6liZNwyAB4s9etvPnmm7z55psFbuvUqVO+G0CLiIgUB8lpWbw4dxsbD18AoNc9EYzrVhdfL13mK4XHIQOgiIiIM1q7/yzD5iVy/lIOfl7uvPlofbo3Lm/vssQJKQCKiIjYWW6ehfd/2s+Hqw9hGFC7bBCxUY2pWibgxg8WuQ0KgCIiInZ0OvUyL8zZxuajFwHo27wirz9cBx9PTflK0VEAFBERsZNVf5xh+DeJXMw0E+DtwaQe9Xm4QTl7lyUuQAFQRETExsx5Ft5duY9P1h4GoF75IGb0aULl0v52rkxchQKgiIiIDZ28mMnQOdvYdjwFgAH3Vmb0Q7Xw9tCUr9iOAqCIiIiN/Lg7iZELdpB62UygjweTH29Ap3pl7V2WuCAFQBERkSKWk2th0g9/8MWvRwBoWCGYGVFNiAjxs3Nl4qoUAEVERIrQiQuZxMQlsP1kKgDPtKrCy51q4eXhZufKxJUpAIqIiBSRH3ae5uWFO0jPyiXY15P3nmhI+zph9i5LRAFQRESksGWZ83hz+V6+2nAMgLsrlWRan8aUL+Fr58pE/qIAKCIiUoiOnLtETFwCu0+lAfBc62q8FFkDT3dN+UrxoQAoIiJSSJZuP8Wri3aSkZ1LiL8X7/VsSNuaofYuS+QqCoAiIiJ3KMucx/jv9jDn9+MANKscwrQ+jQkP9rFzZSIFUwAUERG5AwfPZBATl8AfSemYTBDTtjovtrsLD035SjGmACgiInKbFiWc5LUlu8jMyaN0gBfv92rE/XeVsXdZIjekACgiInKLMnNyGfvtbuZvPQlAy6qlmNq7EaFBmvIVx6AAKCIicgv2J6cTPTuBA2cycDPBi+1qEPNgddzdTPYuTeSmKQCKiIjcBMMwmL/1JGO+3UWW2UJooDdTezemZbVS9i5N5JYpAIqIiNzApexcXluyi8Xb/gTg/rtK836vRpQO8LZzZSK3RwFQRETkOvaeTiM6LoHDZy/h7mZieIcaDGldDTdN+YoDUwAUEREpgGEYzPn9BOO+201OroXwIB+mRzWmaeUQe5cmcscUAEVERP4hPcvMq4t38d32UwC0rVmG93o2IsTfy86ViRQOBUAREZG/2fVnKjFxCRw9n4mHm4mXO9XkmVZVNeUrTkUBUEREhL+mfL/acIw3vt9LTp6F8iV8mdanMXdXKmnv0kQKnQKgiIi4vNTLZl5ZuIMfdiUB0L52GO8+0YASfpryFeekACgiIi5t+4kUYuYkcOLCZTzdTYzuXJuB91XGZNKUrzgvBUAREXFJhmHwxa9HmfTDXsx5BhEhvszo04SGESXsXZpIkVMAFBERl5OSmcOI+Tv4aW8yAJ3rhTOpRwOCfT3tXJmIbSgAioiIS9l67CIvzNnGnymX8XJ34/WHa9OvRSVN+YpLUQAUERGXYLEYfLbuMJNX7iPXYlC5lB8zoppQr3ywvUsTsTk3exdwO9566y2aNm1KYGAgoaGhdO/enX379uXbp02bNphMpnxfzz33XL59jh8/TpcuXfDz8yM0NJSRI0eSm5try1ZERMQGLlzKYdCXm3nrhz/ItRh0bViO74a2UvgTl+WQZwDXrFlDdHQ0TZs2JTc3l1dffZXIyEj27NmDv7+/db/BgwczYcIE67Kfn5/133l5eXTp0oXw8HB+++03Tp8+zVNPPYWnpydvvvmmTfsREZGis/noRYbP30lSWhbeHm6M61aX3k0jNOUrLs0hA+CKFSvyLc+aNYvQ0FC2bt3KAw88YF3v5+dHeHh4gWP8+OOP7Nmzh59++omwsDAaNWrExIkTGTVqFOPGjcPLS/d+EhFxZBaLwY8nTazYtIU8i0HVMv7ERjWhdtkge5cmYncOGQD/KTU1FYCQkPwf0D179mz+97//ER4eTteuXXn99detZwE3bNhA/fr1CQsLs+7fsWNHhgwZwu7du2ncuPFVx8nOziY7O9u6nJaWBoDZbMZsNhdqT1fGK+xxiwv15/icvUf159jOZ2Tz0vwd/HrCHTDo3rAs47rWxt/bw2l6dvbnsCj7c9bv2a0wGYZh2LuIO2GxWOjWrRspKSmsX7/euv7TTz+lUqVKlCtXjh07djBq1CiaNWvGokWLAHj22Wc5duwYK1eutD4mMzMTf39/li9fTufOna861rhx4xg/fvxV6+Pi4vJNL4uIiP0cSDXx1QE30swmPN0MHq9ioXkZA834yhWZmZlERUWRmppKUJBrnhF2+DOA0dHR7Nq1K1/4g78C3hX169enbNmytGvXjkOHDlGtWrXbOtbo0aMZPny4dTktLY2IiAgiIyML/QfIbDYTHx9Phw4d8PR0vvtSqT/H5+w9qj/Hk2cx+HD1YT7ceAiLAdXL+PN4uVSeesR5evw7Z3wO/64o+7syg+fKHDoAxsTEsGzZMtauXUuFChWuu2/z5s0BOHjwINWqVSM8PJzff/893z7JyX/dEPRa7xv09vbG29v7qvWenp5F9uIryrGLA/Xn+Jy9R/XnGM6kZfHi3EQ2HD4PQM97KvBa55qs+mml0/R4Lerv9sZ0dQ55GxjDMIiJiWHx4sX88ssvVKlS5YaPSUxMBKBs2bIAtGzZkp07d3LmzBnrPvHx8QQFBVGnTp0iqVtERArfugNneWjaOjYcPo+flzvv92rIO483xNfL3d6liRRbDnkGMDo6mri4OL799lsCAwNJSkoCIDg4GF9fXw4dOkRcXBwPPfQQpUqVYseOHQwbNowHHniABg0aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wLN8IiJSvOTmWfjgpwPErj6IYUCt8EBi+zahWpkAe5cmUuw5ZAD86KOPgL9u9vx3M2fOZMCAAXh5efHTTz/xwQcfcOnSJSIiIujRowevvfaadV93d3eWLVvGkCFDaNmyJf7+/vTv3z/ffQNFRKR4Op16mRfnJPL70QsARDWvyJiH6+DjqbN+IjfDIQPgjS5cjoiIYM2aNTccp1KlSixfvrywyhIRERtYte8Mw+clcjHTTIC3B289Vp+uDcvZuywRh+KQAVBERFyPOc/Cuz/u45M1hwGoVz6IGX2aULm0/w0eKSL/pAAoIiLF3p8plxkal0DC8RQA+resxKtdauPtoSlfkduhACgiIsVa/J5kRszfTuplM4E+HrzTowGd65e1d1kiDk0BUEREiqWcXAtvr/iDz9cfAaBhhWBmRDUhIkSfvCRypxQARUSk2DlxIZOYOdvYfiIFgEGtqjCqUy28PBzy9rUixY4CoIiIFCsrdp1m5IIdpGflEuzrybtPNKRDnTB7lyXiVBQARUSkWMjOzePN7/fy5YZjADSpWILpUU0oX8LXzpWJOB8FQBERsbuj5y4RMyeBXX+mAfCv1lUZEVkTT3dN+YoUBQVAERGxq++2n2L0op1kZOdS0s+TKT0b0bZWqL3LEnFqCoAiImIXWeY8JizbQ9ym4wA0qxzC1D6NKBusKV+RoqYAKCIiNnfobAbRsxP4Iykdkwmi21Tn3+3vwkNTviI2oQAoIiI2tXjbSf6zeBeZOXmUDvDi/V6NuP+uMvYuS8SlKACKiIhNXM7JY+zSXXyz5SQALauWYmrvRoQG+di5MhHXowAoIiJF7kByOtFxCexPzsBkghfb3cXQB+/C3c1k79JEXJICoIiIFBnDMJi/9SRjvt1FltlCmUBvpvZuxL3VStu7NBGXpgAoIiJF4lJ2Lq8v2cWibX8CcP9dpXm/VyNKB3jbuTIRUQAUEZFCt/d0GjFxCRw6ewk3E7wUWZMhravhpilfkWJBAVBERAqNYRjM+f0E47/bTXauhfAgH6b1aUyzKiH2Lk1E/kYBUERECkV6lplXF+/iu+2nAGhTswxTejYixN/LzpWJyD8pAIqIyB3b9WcqMXEJHD2fiYebiZEdazL4/qqa8hUpphQARUTkthmGwf82HmPisr3k5FkoX8KXaX0ac3elkvYuTUSuQwFQRERuS1qWmVcW7mD5ziQA2tcO490nGlDCT1O+IsWdAqCIiNyy7SdSiJmTwIkLl/F0N/FK59o8fV9lTCZN+Yo4AgVAERG5aYZhMPPXo7z1w17MeQYRIb7M6NOEhhEl7F2aiNwCBUAREbkpKZk5jFywg/g9yQB0rhfOpB4NCPb1tHNlInKrFABFROSGEo5fZGjcNv5MuYyXuxuvPVybJ1tU0pSviINSABQRkWuyWAw+W3eYySv3kWsxqFTKj9ioJtQrH2zv0kTkDigAiohIgS5cymHE/O388scZAB5uUJa3HqtPoI+mfEUcnQKgiIhcZfPRCwyN20ZSWhbeHm6M7VqXPs0iNOUr4iQUAEVExMpiMfhozSGmxO8nz2JQtYw/sVFNqF02yN6liUghUgAUEREAzmVkM2xeIusOnAPgscblmdi9Hv7e+lMh4mzcbHkws9nMiRMn2LdvHxcuXLjtcd566y2aNm1KYGAgoaGhdO/enX379lm3X7hwgaFDh1KzZk18fX2pWLEiL7zwAqmpqfnGMZlMV33NnTv3tusSEXFUGw6d56Gp61h34Bw+nm6883gD3uvZUOFPxEkV+Ss7PT2d//3vf8ydO5fff/+dnJwcDMPAZDJRoUIFIiMjefbZZ2natOlNj7lmzRqio6Np2rQpubm5vPrqq0RGRrJnzx78/f05deoUp06d4t1336VOnTocO3aM5557jlOnTrFgwYJ8Y82cOZNOnTpZl0uUKFFYrYuIFHt5FoMPfzrA1J/3YzHgrtAAYvs2oUZYoL1LE5EiVKQBcMqUKbzxxhtUq1aNrl278uqrr1KuXDl8fX25cOECu3btYt26dURGRtK8eXOmT5/OXXfddcNxV6xYkW951qxZhIaGsnXrVh544AHq1avHwoULrdurVavGG2+8Qb9+/cjNzcXD4//aLlGiBOHh4YXXtIiIg0jLgYFfbmXD4b9mZHreU4Hx3erh6+Vu58pEpKgVaQDcvHkza9eupW7dugVub9asGU8//TQff/wxM2fOZN26dTcVAP/pytRuSEjIdfcJCgrKF/4AoqOjeeaZZ6hatSrPPfccAwcOvOZVbtnZ2WRnZ1uX09LSgL+mts1m8y3XfT1XxivscYsL9ef4nL1HZ+9vzb5k3t7hTob5An5e7ozvWpvujcoBFsxmi73LKxTO/hyqvzsf25WZDMMw7F3EnbBYLHTr1o2UlBTWr19f4D7nzp3j7rvvpl+/frzxxhvW9RMnTuTBBx/Ez8+PH3/8kbFjx/LOO+/wwgsvFDjOuHHjGD9+/FXr4+Li8PPzK5yGRESKUJ4BK064Ef+nCQMTZf0MBtbII8zX3pWJ2E5mZiZRUVHWk0OuyOED4JAhQ/jhhx9Yv349FSpUuGp7WloaHTp0ICQkhKVLl+Lpee0bmI4ZM4aZM2dy4sSJArcXdAYwIiKCc+fOFfoPkNlsJj4+ng4dOly3Zkel/hyfs/fojP0lpWUxfP5ONh+9CMC9YRZmPN2GQD8fO1dWNJzxOfw79Xf70tLSKF26tEsHwCK/COTpp5++qf2++OKLWx47JiaGZcuWsXbt2gLDX3p6Op06dSIwMJDFixff8AeoefPmTJw4kezsbLy9va/a7u3tXeB6T0/PInvxFeXYxYH6c3zO3qOz9Ld63xmGf7OdC5dyCPD2YGK32rid3Eagn49T9Hc9zvIcXov6u70xXV2RB8BZs2ZRqVIlGjduTGGdbDQMg6FDh7J48WJWr15NlSpVrtonLS2Njh074u3tzdKlS/HxufH/cBMTEylZsmSBIU9ExBGZ8yy89+N+Pl5zCIC65YKIjWpC+WAvlp/cZufqRMReijwADhkyhDlz5nDkyBEGDhxIv379rnuxxs2Ijo4mLi6Ob7/9lsDAQJKSkgAIDg7G19eXtLQ0IiMjyczM5H//+x9paWnWCzbKlCmDu7s73333HcnJybRo0QIfHx/i4+N58803GTFixB33LCJSHPyZcpkX5mxj67G/pnz7t6zE6Idq4+PprjfBi7i4Ir8RdGxsLKdPn+bll1/mu+++IyIigp49e7Jy5crbPiP40UcfkZqaSps2bShbtqz1a968eQAkJCSwadMmdu7cSfXq1fPtc+X9fZ6ensTGxtKyZUsaNWrEJ598wpQpUxg7dmyh9S4iYi8/7Ummy7R1bD12kUAfDz7q24Txj9TDx1O3eBERG30UnLe3N3369KFPnz4cO3aMWbNm8fzzz5Obm8vu3bsJCAi4pfFuFBzbtGlzw306deqU7wbQIiLOICfXwjsr/uD/rT8CQMMKwUzv04SKpXSnAhH5Pzb/jB83NzdMJhOGYZCXl2frw4uIOK0TFzKJmbON7SdSAHj6viq80rkWXh42/dRPEXEANvmtkJ2dzZw5c+jQoQM1atRg586dzJgxg+PHj9/y2T8REbnail1JPDRtHdtPpBDs68lnT93DmK51FP5EpEBFfgbw+eefZ+7cuURERPD0008zZ84cSpcuXdSHFRFxCdm5eby1/A9m/XYUgCYVSzCtT2MqlNSUr4hcW5EHwI8//piKFStStWpV1qxZw5o1awrcb9GiRUVdioiIUzl2/hIxcdvY+edfH4f5r9ZVGRFZE093nfUTkesr8gD41FNPXfOzdUVE5PYs23GKVxbuJCM7l5J+nkzp2Yi2tULtXZaIOAib3AhaREQKR5Y5j4nL9jB703EAmlYuybQ+jSkbrA/zFZGbZ/OrgEVE5PYcOptB9OwE/khKx2SC6DbV+Xf7u/DQlK+I3CKb/NY4c+YMJ0+etC7n5uby2muv0bp1a1566SUyMzNtUYaIiMNasu1Puk5fzx9J6ZTy9+Krp5sxomNNhT8RuS02+c0xePBgvvzyS+vy5MmT+eyzz2jatClLly5l2LBhtihDRMThXM7JY9SCHfx7XiKZOXm0rFqKH168n/vvKmPv0kTEgdkkAO7YsYO2bdtal7/++mumTZvGu+++y9y5c/nuu+9sUYaIiEM5kJzOI7HrmbflBCYTvNjuLv73THNCg3zsXZqIOLgifQ/gwIEDATh16hRTpkzhs88+Iycnh3379rF48WJWrlyJxWLhzJkzPP300wB88cUXRVmSiIhDmL/lBGO+3c1lcx5lAr2Z2qsR91bXPVRFpHAUaQCcOXMmAGvXrmXQoEF07tyZefPmsXPnTubOnQvA+fPnWbp0qYKfiAhwKTuX17/dxaKEPwG4/67STOnZiDKB3nauTESciU2uAu7SpQtPP/003bp1Y8mSJbz88svWbb///jt16tSxRRkiIsXaH0lpRM9O4NDZS7iZ4KXImgxpXQ03N91LVUQKl00C4DvvvENwcDCJiYkMGzYs30UfmzZt4rnnnrNFGSIixZJhGMzbfIKxS3eTnWshPMiHaX0a06xKiL1LExEnZZMA6OPjw8SJEwvcNm7cOFuUICJSLGVk5/Lqop0s3X4KgDY1yzClZyNC/L3sXJmIODPdCFpExE52/ZlKTFwCR89n4u5m4uWONRl8f1VN+YpIkSvS28B06tSJjRs33nC/9PR03n77bWJjY4uyHBGRYsEwDL7ecJTHPvqNo+czKRfswzf/asm/9H4/EbGRIj0D+MQTT9CjRw+Cg4Pp2rUr99xzD+XKlcPHx4eLFy+yZ88e1q9fz/Lly+nSpQuTJ08uynJEROwuLcvMKwt3sHxnEgDta4fx7hMNKOGnKV8RsZ0iDYCDBg2iX79+zJ8/n3nz5vHpp5+SmpoKgMlkok6dOnTs2JHNmzdTu3btoixFRMTudpxMISZuG8cvZOLpbmJUp1oMalUFk0ln/UTEtor8PYDe3t7069ePfv36AZCamsrly5cpVaoUnp6eRX14ERG7MwyDmb8e5a0f9mLOM6hQ0pcZUU1oFFHC3qWJiIuy+UUgwcHBBAcH2/qwIiJ2kZppZuSC7fy4JxmATnXDefvxBgT76j/AImI/ugpYRKSIbDt+kZi4bfyZchkvdzdee7g2T7aopClfEbE7BUARkUJmsRh8vv4Ib6/4g1yLQaVSfsRGNaFeec1+iEjxoAAoIlKILl7K4aX52/nljzMAPNygLG89Vp9AH035ikjxoQAoIlJIthy9wNA52zidmoWXhxvjutalT7MITfmKSLFj0wCYkpLCggULOHToECNHjiQkJISEhATCwsIoX768LUsRESk0FovBR2sOMSV+P3kWg6ql/Ynt24TaZYPsXZqISIFsFgB37NhB+/btCQ4O5ujRowwePJiQkBAWLVrE8ePH+eqrr2xViohIoTmXkc3wb7azdv9ZAB5tXJ7/dq+Hv7cmWESk+CrSj4L7u+HDhzNgwAAOHDiAj4+Pdf1DDz3E2rVrbVWGiEih2Xj4PA9NXcfa/Wfx8XTjnccbMKVnQ4U/ESn2bPZbavPmzXzyySdXrS9fvjxJSUm2KkNE5I7lWQxm/HKQqT/vx2LAXaEBxPZtQo2wQHuXJiJyU2wWAL29vUlLS7tq/f79+ylTpoytyhARuSNn0rMYNi+RXw+eB+CJuysw/pG6+HnprJ+IOA6bTQF369aNCRMmYDabgb8+C/j48eOMGjWKHj162KoMEZHb9uvBczw0dT2/HjyPn5c7U3o2ZPITDRX+RMTh2CwAvvfee2RkZBAaGsrly5dp3bo11atXJzAwkDfeeOOWxnrrrbdo2rQpgYGBhIaG0r17d/bt25dvn6ysLKKjoylVqhQBAQH06NGD5OTkfPscP36cLl264OfnR2hoKCNHjiQ3N/eOexUR55KbZ2HKj/vo9/kmzmVkUys8kKUxrXisSQV7lyYiclts9t/W4OBg4uPjWb9+PTt27CAjI4MmTZrQvn37Wx5rzZo1REdH07RpU3Jzc3n11VeJjIxkz549+Pv7AzBs2DC+//575s+fT3BwMDExMTz22GP8+uuvAOTl5dGlSxfCw8P57bffOH36NE899RSenp68+eabhdq7iDiu5LQshi/Yxe9HLgDQp1lFxnatg4+nu50rExG5fTaft2jVqhWtWrW6ozFWrFiRb3nWrFmEhoaydetWHnjgAVJTU/n888+Ji4vjwQcfBGDmzJnUrl2bjRs30qJFC3788Uf27NnDTz/9RFhYGI0aNWLixImMGjWKcePG4eXldUc1iojj23vRxLjYDVzMNOPv5c5bPRrQrWE5e5clInLHbBYAJ0yYcN3tY8aMue2xU1NTAQgJCQFg69atmM3mfGcXa9WqRcWKFdmwYQMtWrRgw4YN1K9fn7CwMOs+HTt2ZMiQIezevZvGjRtfdZzs7Gyys7Oty1cuajGbzdb3NhaWK+MV9rjFhfpzfM7cY26ehffi9/P//nAHzNQpG8jUXg2oXMrfafp15ufvCmfvUf3d+diuzGQYhmGLA/0zUJnNZo4cOYKHhwfVqlUjISHhtsa1WCx069aNlJQU1q9fD0BcXBwDBw7MF9YAmjVrRtu2bXn77bd59tlnOXbsGCtXrrRuz8zMxN/fn+XLl9O5c+erjjVu3DjGjx9/1fq4uDj8/Pxuq34RKV4uZsOXB9w5kv7Xx7fdH2bhkcoWPG32jmkRKWqZmZlERUWRmppKUJBrfmKPzc4Abtu27ap1aWlpDBgwgEcfffS2x42OjmbXrl3W8FeURo8ezfDhw63LaWlpREREEBkZWeg/QGazmfj4eDp06ICnp/N9iLz6c3zO2OMv+87ywcJdpFw2E+DtzhOVchjZu73T9Pd3zvj8/ZOz96j+bl9Bt6VzNXa9d0FQUBDjx4+na9euPPnkk7f8+JiYGJYtW8batWupUOH/rsYLDw8nJyeHlJQUSpQoYV2fnJxMeHi4dZ/ff/8933hXrhK+ss8/eXt74+3tfdV6T0/PInvxFeXYxYH6c3zO0GNOroV3VvzB/1t/BICGFYKZ8kR9dm1c7RT9XY+z9wfO36P6u70xXZ3dJzVSU1Ot7+G7WYZhEBMTw+LFi/nll1+oUqVKvu133303np6e/Pzzz9Z1+/bt4/jx47Rs2RKAli1bsnPnTs6cOWPdJz4+nqCgIOrUqXMHHYmIIzlxIZOen2ywhr+n76vC/OfupWKI3tYhIs7LZmcAp02blm/ZMAxOnz7N119/XeD77a4nOjqauLg4vv32WwIDA60fJRccHIyvry/BwcEMGjSI4cOHExISQlBQEEOHDqVly5a0aNECgMjISOrUqcOTTz7JO++8Q1JSEq+99hrR0dEFnuUTEeezcncSI+dvJy0rlyAfD959oiGRdf+aATCb8+xcnYhI0bFZAHz//ffzLbu5uVGmTBn69+/P6NGjb2msjz76CIA2bdrkWz9z5kwGDBhgPZ6bmxs9evQgOzubjh078uGHH1r3dXd3Z9myZQwZMoSWLVvi7+9P//79b3i1sog4vuzcPN5a/gezfjsKQOOKJZjepzEVSuqsn4i4BpsFwCNHjhTaWDdz4bKPjw+xsbHExsZec59KlSqxfPnyQqtLRIq/Y+cvERO3jZ1//vXWk389UJURHWvi6W73d8SIiNiMPsBSRFzG9ztO88rCHaRn51LSz5P3ejbkwVphN36giIiTsVkAvHTpEpMmTeLnn3/mzJkzWCyWfNsPHz5sq1JExMVkmfP47/d7+N/G4wA0rVySaX0aUzbY186ViYjYh80C4DPPPMOaNWt48sknKVu2LCaTyVaHFhEXdvhsBtFx29h7Og2TCZ5vU41h7WvgoSlfEXFhNguAP/zwA99//z333XefrQ4pIi7u28Q/eXXRTi7l5FHK34v3ezXigRpl7F2WiIjd2SwAlixZ0vpZvSIiRelyTh7jv9vN3M0nAGhRNYSpvRsTFuRj58pERIoHm82BTJw4kTFjxpCZmWmrQ4qICzp4Jp3usb8yd/MJTCZ4sd1dzH6mhcKfiMjf2OwM4HvvvcehQ4cICwujcuXKV30MS0JCgq1KEREntWDrSV5fsovL5jzKBHoztVcj7q1e2t5liYgUOzYLgN27d7fVoUTExWTm5PL6kt0sTDgJQKvqpXm/VyPKBOpTfURECmKzADh27FhbHUpEXMi+pHSen72VQ2cv4WaC4R1q8Hyb6ri56U4DIiLXYtMbQaekpLBgwQIOHTrEyJEjCQkJISEhgbCwMMqXL2/LUkTEwRmGwbzNJxi7dDfZuRbCgryZ1rsxzauWsndpIiLFns0C4I4dO2jfvj3BwcEcPXqUwYMHExISwqJFizh+/DhfffWVrUoREQeXkZ3Lfxbv5NvEUwC0rlGGKT0bUipAU74iIjfDZlcBDx8+nAEDBnDgwAF8fP7varyHHnqItWvX2qoMEXFwu0+l0nX6er5NPIW7m4lXOtdi5oCmCn8iIrfAZmcAN2/ezCeffHLV+vLly5OUlGSrMkTEQRmGwf82HWfisj3k5FooF+zD9KjG3F1J9xcVEblVNguA3t7epKWlXbV+//79lCmjO/OLyLWlZZkZvXAn3+88DUD72qFMfrwhJf297FyZiIhjstkUcLdu3ZgwYQJmsxkAk8nE8ePHGTVqFD169LBVGSLiYHacTOHhaev5fudpPNxMvNalNp89dY/Cn4jIHbBZAHzvvffIyMggNDSUy5cv07p1a6pXr05gYCBvvPGGrcoQEQdhGAYzfz1Cj49+4/iFTCqU9GXBkHt55v6qmEy6xYuIyJ2w2RRwcHAw8fHxrF+/nh07dpCRkUGTJk1o3769rUoQEQeRmmnm5YXbWbk7GYBOdcN5+/EGBPt63uCRIiJyM2wWAE+cOEFERAStWrWiVatWtjqsiDiYbccvEhO3jT9TLuPl7sZ/utTmqZaVdNZPRKQQ2WwKuHLlyrRu3ZrPPvuMixcv2uqwIuIgDMPgs7WHeeLjDfyZcplKpfxYOORe+t9bWeFPRKSQ2SwAbtmyhWbNmjFhwgTKli1L9+7dWbBgAdnZ2bYqQUSKqYuXcnjmyy28sXwvuRaDLg3KsmxoK+pXCLZ3aSIiTslmAbBx48ZMnjyZ48eP88MPP1CmTBmeffZZwsLCePrpp21VhogUM1uOXuChaev4+Y8zeHm48caj9ZjRpzGBPnq/n4hIUbFZALzCZDLRtm1bPvvsM3766SeqVKnCl19+aesyRMTOLBaDD1cfpNenGzmdmkXV0v4sef4++jbX+/1ERIqazS4CueLkyZPExcURFxfHrl27aNmyJbGxsbYuQ0Ts6HxGNsO/2c6a/WcB6N6oHP99tD4B3jb/lSQi4pJs9tv2k08+IS4ujl9//ZVatWrRt29fvv32WypVqmSrEkSkGNh4+Dwvzt1Gclo2Pp5uTOhWjyfuqaCzfiIiNmSzAPjf//6XPn36MG3aNBo2bGirw4pIMZFnMYhddZAPftqPxYDqoQHERjWhZnigvUsTEXE5NguAx48f1//wRVzUmfQshs1L5NeD5wF44u4KjH+kLn5emvIVEbEHm10EYjKZWLduHf369aNly5b8+eefAHz99desX7/eVmWIiI39evAcD01dz68Hz+Pr6c6Ung2Z/ERDhT8RETuyWQBcuHAhHTt2xNfXl23btlnv/5eamsqbb75pqzJExEbyLAZT4vfT7/NNnMvIplZ4IN8NbcVjTSrYuzQREZdnswD43//+l48//pjPPvsMT8//u7/XfffdR0JCgq3KEBEbSE7LIuqzjUz7+QCGAX2aRbAk+j6qhwbYuzQREcGG7wHct28fDzzwwFXrg4ODSUlJsVUZIlLE1uw/y7B5iVy4lIO/lztvPlafRxqVt3dZIiLyNzYLgOHh4Rw8eJDKlSvnW79+/XqqVq1qqzJEpIjk5ll4L34/H60+BECdskHE9m1CldL+dq5MRET+yWZTwIMHD+bFF19k06ZNmEwmTp06xezZsxkxYgRDhgy5pbHWrl1L165dKVeuHCaTiSVLluTbbjKZCvyaPHmydZ/KlStftX3SpEmF0aqIyzmVcpnen260hr8nW1Ri0fP3KvyJiBRTNjsD+Morr2CxWGjXrh2ZmZk88MADeHt7M2LECIYOHXpLY126dImGDRvy9NNP89hjj121/fTp0/mWf/jhBwYNGkSPHj3yrZ8wYQKDBw+2LgcG6n5kIrdq1b6zvLxoFymZZgK9PXj78QY8VL+svcsSEZHrsFkANJlM/Oc//2HkyJEcPHiQjIwM6tSpQ0BAAJcvX8bX1/emx+rcuTOdO3e+5vbw8PB8y99++y1t27a9aqo5MDDwqn1F5OaY8ywsOerGqg3bAGhQIZgZfZpQsZSfnSsTEZEbsfmNuLy8vKhTpw4A2dnZTJkyhXfeeYekpKQiOV5ycjLff/89X3755VXbJk2axMSJE6lYsSJRUVEMGzYMD49rf0uys7Ott68BSEtLA8BsNmM2mwu17ivjFfa4xYX6c2wnL17mxXnb2XH6r3eR9G9ZkZGRNfD2cHOanp39OXT2/sD5e1R/dz62KzMZhmEU5QGys7MZN24c8fHxeHl58fLLL9O9e3dmzpzJf/7zH9zd3YmJiWHUqFG3Nb7JZGLx4sV07969wO3vvPMOkyZN4tSpU/j4+FjXT5kyhSZNmhASEsJvv/3G6NGjGThwIFOmTLnmscaNG8f48eOvWh8XF4efn856iGvYccFE3EE3LueZ8HU3iKpuoUFIkf4aEREpVJmZmURFRZGamkpQUJC9y7GLIg+Ao0aN4pNPPqF9+/b89ttvnD17loEDB7Jx40ZeffVVnnjiCdzd3W97/BsFwFq1atGhQwemT59+3XG++OIL/vWvf5GRkYG3t3eB+xR0BjAiIoJz584V+g+Q2WwmPj6eDh065LtvorNQf44nO9fCOyv389XG4wA0LB9E97AL9HrYeXr8O2d8Dv/O2fsD5+9R/d2+tLQ0Spcu7dIBsMingOfPn89XX31Ft27d2LVrFw0aNCA3N5ft27cX+WcDr1u3jn379jFv3rwb7tu8eXNyc3M5evQoNWvWLHAfb2/vAsOhp6dnkb34inLs4kD9OYZj5y8RE7eNnX+mAvDsA1X594NViV+5wml6vBb15/icvUf1d3tjuroiD4AnT57k7rvvBqBevXp4e3szbNiwIg9/AJ9//jl33303DRs2vOG+iYmJuLm5ERoaWuR1iTiS73ec5pWFO0jPzqWknyfv9WzIg7XC9B4aEREHVuQBMC8vDy8vr/87oIcHAQF39nFQGRkZHDx40Lp85MgREhMTCQkJoWLFisBfp3fnz5/Pe++9d9XjN2zYwKZNm2jbti2BgYFs2LCBYcOG0a9fP0qWLHlHtYk4iyxzHv/9fg//+/+nfO+pVJLpUY0pG3zzV+yLiEjxVOQB0DAMBgwYYJ06zcrK4rnnnsPfP/8NYhctWnTTY27ZsoW2bdtal4cPHw5A//79mTVrFgBz587FMAz69Olz1eO9vb2ZO3cu48aNIzs7mypVqjBs2DDrOCKu7si5S0TPTmDP6b+udH++TTWGd6iBh7vN7h0vIiJFqMgDYP/+/fMt9+vX747HbNOmDTe6duXZZ5/l2WefLXBbkyZN2Lhx4x3XIeKMvk38k1cX7eRSTh6l/L2Y0qsRrWuUsXdZIiJSiIo8AM6cObOoDyEihSDLnMe4pbuZu/kEAC2qhjC1d2PCgnxu8EgREXE0Nr8RtIgUPwfPpBM9exv7ktMxmWDog3fxYru7cHcr+ou1RETE9hQARVzcgq0neX3JLi6b8ygd4M3U3o24r3ppe5clIiJFSAFQxEVl5uTy+pLdLEw4CcB91Uvxfq9GhAZqyldExNkpAIq4oH1J6UTHJXDwTAZuJhjWvgbPt62uKV8RERehACjiQgzD4JstJxjz7W6ycy2EBXkztXdjWlQtZe/SRETEhhQARVxERnYury3eyZLEUwC0rlGGKT0bUiqg4M++FhER56UAKOIC9pxKIyYugcPnLuHuZmJEZE3+9UBV3DTlKyLikhQARZyYYRjM3nScCcv2kJNroWywD9P7NOaeyiH2Lk1EROxIAVDESaVlmRm9aCff7zgNQLtaobz7RENK+nvd4JEiIuLsFABFnNDOk6nEzEng2PlMPNxMvNK5FoNaVcFk0pSviIgoAIo4FcMw+PK3o7y5/A9y8iyUL+HLjKjGNK5Y0t6liYhIMaIAKOIkUjPNvLxwOyt3JwMQWSeMyY83JNjP086ViYhIcaMAKOIEth2/yNA52zh58TJe7m68+lAt+t9bWVO+IiJSIAVAEQdmGAafrz/CpB/+INdiUDHEj9ioJtSvEGzv0kREpBhTABRxUBcv5TBi/nZ+/uMMAF3ql+WtHvUJ8tGUr4iIXJ8CoIgD2nrsAkPjtnEqNQsvDzfGPFyHvs0raspXRERuigKgiAOxWAw+WXuYd3/cR57FoEppf2ZENaZuOU35iojIzVMAFHEQ5zOyGf7NdtbsPwvAI43K8caj9Qnw1stYRERujf5yiDiATYfP88LcbSSnZePt4caER+rS854ITfmKiMhtUQAUKcbyLAYfrjrI+z/tx2JA9dAAYqOaUDM80N6liYiIA1MAFCmmzqZn8+952/j14HkAejSpwMTudfHz0stWRETujP6SiBRDvx48x4tzEzmXkY2vpzsTu9fj8bsr2LssERFxEgqAIsVInsVg6s8HmP7LAQwDaoYFEtu3MdVDNeUrIiKFRwFQpJhITsvixbnb2Hj4AgC9m0YwtmtdfL3c7VyZiIg4GwVAkWJgzf6zDJ+XyPlLOfh7ufPmY/V5pFF5e5clIiJOSgFQxI5y8yxMid/Ph6sPAVC7bBCxUY2pWibAzpWJiIgzUwAUsZNTKZd5Yc42thy7CMCTLSrxny618fHUlK+IiBQtBUARO/jlj2SGf7OdlEwzgd4eTOrRgC4Nytq7LBERcREKgCI2ZM6zMHnlPj5dexiA+uWDmRHVmEql/O1cmYiIuBIFQBEbOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOUrIiK25WbvAm7H2rVr6dq1K+XKlcNkMrFkyZJ82wcMGIDJZMr31alTp3z7XLhwgb59+xIUFESJEiUYNGgQGRkZNuxCXMnK3Uk8NHUdiSdSCPLx4JMn72Zct7oKfyIiYhcOeQbw0qVLNGzYkKeffprHHnuswH06derEzJkzrcve3t75tvft25fTp08THx+P2Wxm4MCBPPvss8TFxRVp7eJacnItvLliNzN/PQpAo4gSTO/TmIgQP/sWJiIiLs0hA2Dnzp3p3Lnzdffx9vYmPDy8wG179+5lxYoVbN68mXvuuQeA6dOn89BDD/Huu+9Srly5Qq9ZXM+5LOj9/35n559pAAy+vwojO9bCy8MhT7yLiIgTccgAeDNWr15NaGgoJUuW5MEHH+S///0vpUqVAmDDhg2UKFHCGv4A2rdvj5ubG5s2beLRRx8tcMzs7Gyys7Oty2lpf/1hN5vNmM3mQq3/yniFPW5x4ez9Ldv+J5N3uJOVl0YJX0/e7lGPB2uWASMPsznP3uUVCmd/DtWf43P2HtXfnY/tykyGYRj2LuJOmEwmFi9eTPfu3a3r5s6di5+fH1WqVOHQoUO8+uqrBAQEsGHDBtzd3XnzzTf58ssv2bdvX76xQkNDGT9+PEOGDCnwWOPGjWP8+PFXrY+Li8PPT1N6AmYLLDnqxvrkv87yVQk06H9XHiW9b/BAERGxmczMTKKiokhNTSUoKMje5diFU54B7N27t/Xf9evXp0GDBlSrVo3Vq1fTrl272x539OjRDB8+3LqclpZGREQEkZGRhf4DZDabiY+Pp0OHDnh6ehbq2MWBM/Z39PwlXpi7g73J6QC0L2fhvYFt8fNxzvTnjM/h36k/x+fsPaq/23dlBs+VOWUA/KeqVatSunRpDh48SLt27QgPD+fMmTP59snNzeXChQvXfN8g/PW+wn9eTALg6elZZC++ohy7OHCW/r5N/JNXF+3kUk4eIf5evNujHukHfsfPx9sp+rseZ3kOr0X9OT5n71H93d6Yrs4l3o1+8uRJzp8/T9myf33SQsuWLUlJSWHr1q3WfX755RcsFgvNmze3V5nigLLMeYxetIMX5yZyKSeP5lVC+OHF+7n/rtL2Lk1EROSaHPIMYEZGBgcPHrQuHzlyhMTEREJCQggJCWH8+PH06NGD8PBwDh06xMsvv0z16tXp2LEjALVr16ZTp04MHjyYjz/+GLPZTExMDL1799YVwHLTDp7JIHp2AvuS0zGZYGjb6rzQ7i483N30BmMRESnWHDIAbtmyhbZt21qXr7wvr3///nz00Ufs2LGDL7/8kpSUFMqVK0dkZCQTJ07MN307e/ZsYmJiaNeuHW5ubvTo0YNp06bZvBdxTAu3nuS1Jbu4bM6jdIA3H/RqRCud9RMREQfhkAGwTZs2XO/i5ZUrV95wjJCQEN30WW5ZZk4uY77dzYKtJwG4r3op3u/ViNBAHztXJiIicvMcMgCK2MP+5HSiZydw4EwGbib4d/saRLetjrubyd6liYiI3BIFQJEbMAyDb7acYOzS3WSZLYQGejOtT2NaVC1l79JERERuiwKgyHVkZOfy2uKdLEk8BcADNcowpWdDSgc45739RETENSgAilzDnlNpxMQlcPjcJdzdTLwUWYPnHqiGm6Z8RUTEwSkAivyDYRjM3nScCcv2kJNroWywD9P6NKZp5RB7lyYiIlIoFABF/iY9y8wri3by/Y7TADxYK5T3nmhISX8vO1cmIiJSeBQARf5/O0+mEjMngWPnM/FwMzGqUy0GtaqiKV8REXE6CoDi8gzD4MvfjvLm8j/IybNQvoQv06Ma06RiSXuXJiIiUiQUAMWlpV42M2rBDlbsTgIgsk4Ykx9vSLCfPihcRESclwKguKzEEynExCVw8uJlPN1NvPpQbQbcWxmTSVO+IiLi3BQAxeUYhsHn648w6Yc/yLUYVAzxY0ZUYxpUKGHv0kRERGxCAVBcSkpmDiPmb+envWcAeKh+OJN6NCDIR1O+IiLiOhQAxWVsPXaBoXHbOJWahZeHG68/XId+zStqyldERFyOAqA4PYvF4JO1h3n3x33kWQyqlPZnRlRj6pYLtndpIiIidqEAKE7tfEY2L83fzup9ZwHo1rAcbz5WnwBv/eiLiIjr0l9BcVqbDp/nhbnbSE7LxtvDjfHd6tKraYSmfEVExOUpAIrTybMYfLjqIO//tB+LAdXK+BPbtwm1woPsXZqIiEixoAAoTuVsejbD5iWy/uA5AB5rUp6Jj9TDX1O+IiIiVvqrKE7jt4PneHFeImfTs/H1dGfCI3V54p4Ie5clIiJS7CgAisPLsxhM/fkA0385gGFAjbAAYqOacFdYoL1LExERKZYUAMWhJadl8eLcbWw8fAGA3k0jGNu1Lr5e7nauTEREpPhSABSHtXb/WYbNS+T8pRz8vdx587H6PNKovL3LEhERKfYUAMXh5OZZmBK/nw9XHwKgdtkgYqMaU7VMgJ0rExERcQwKgOJQTqde5oU529h89CIAfZtX5PWH6+DjqSlfERGRm6UAKA5j1R9nGP5NIhczzQR4ezCpR30eblDO3mWJiIg4HAVAKfbMeRbeXbmPT9YeBqBe+SBio5pQqZS/nSsTERFxTAqAUqydvJjJ0Dnb2HY8BYAB91Zm9EO18PbQlK+IiMjtUgCUYuvH3UmMXLCD1MtmAn08mPx4AzrVK2vvskRERByeAqAUOzm5Ft76YS8zfz0KQMOIEszo05iIED/7FiYiIuIkFAClWDl+PpOYOQnsOJkKwDOtqvByp1p4ebjZuTIRERHnoQAoxcbynacZtWAH6dm5BPt68t4TDWlfJ8zeZYmIiDgdhzytsnbtWrp27Uq5cuUwmUwsWbLEus1sNjNq1Cjq16+Pv78/5cqV46mnnuLUqVP5xqhcuTImkynf16RJk2zciQBkmfN4fckunp+dQHp2LndXKsnyF+9X+BMRESkiDhkAL126RMOGDYmNjb1qW2ZmJgkJCbz++uskJCSwaNEi9u3bR7du3a7ad8KECZw+fdr6NXToUFuUL39z9Pwlenz0G19vPAbAc62rMffZFpQv4WvnykRERJyXQ04Bd+7cmc6dOxe4LTg4mPj4+HzrZsyYQbNmzTh+/DgVK1a0rg8MDCQ8PLxIa5VrSzhn4tUPN3IpJ48Qfy+m9GxIm5qh9i5LRETE6TlkALxVqampmEwmSpQokW/9pEmTmDhxIhUrViQqKophw4bh4XHtb0l2djbZ2dnW5bS0NOCvaWez2VyoNV8Zr7DHLQ6yzHlMWLaX+QfcgTyaVi7JlCfqEx7k4zT9OvPzd4Wz96j+HJ+z96j+7nxsV2YyDMOwdxF3wmQysXjxYrp3717g9qysLO677z5q1arF7NmzreunTJlCkyZNCAkJ4bfffmP06NEMHDiQKVOmXPNY48aNY/z48Vetj4uLw89Ptyi5GcmXYeZ+d05nmjBh0KG8QacIC+4me1cmIiKuIjMzk6ioKFJTUwkKCrJ3OXbh1AHQbDbTo0cPTp48yerVq6/7JH/xxRf861//IiMjA29v7wL3KegMYEREBOfOnSv0HyCz2Ux8fDwdOnTA09OzUMe2lyWJpxj73V4yc/Io5e9Jr4pZxDzR3mn6+ztnfP7+ydl7VH+Oz9l7VH+3Ly0tjdKlS7t0AHTaKWCz2UzPnj05duwYv/zyyw2f4ObNm5Obm8vRo0epWbNmgft4e3sXGA49PT2L7MVXlGPbSmZOLmO/3c38rScBuLdaKSb3qMeWdT87RX/X4+z9gfP3qP4cn7P3qP5ub0xX55QB8Er4O3DgAKtWraJUqVI3fExiYiJubm6EhuoihMK0Pzmd6NkJHDiTgZsJXmxXg5gHq2PJy7V3aSIiIi7LIQNgRkYGBw8etC4fOXKExMREQkJCKFu2LI8//jgJCQksW7aMvLw8kpKSAAgJCcHLy4sNGzawadMm2rZtS2BgIBs2bGDYsGH069ePkiVL2qstp2IYBvO3nGTM0l1kmS2EBnoztXdjWlb7K4xb8uxcoIiIiAtzyAC4ZcsW2rZta10ePnw4AP3792fcuHEsXboUgEaNGuV73KpVq2jTpg3e3t7MnTuXcePGkZ2dTZUqVRg2bJh1HLkzl7Jz+c/inSxJ/Ovm2/ffVZr3ezWidEDB760UERER23LIANimTRuud+3Kja5radKkCRs3bizssgTYcyqNmLgEDp+7hLubieEdajCkdTXc3HSZr4iISHHhkAFQih/DMIj7/Tjjv9tDTq6F8CAfpkc1pmnlEHuXJiIiIv+gACh3LD3LzOhFO1m24zQAbWuW4b2ejQjx97JzZSIiIlIQBUC5I7v+TCU6LoFj5zPxcDPxcqeaPNOqqqZ8RUREijEFQLkthmHw1YZjvPH9XnLyLJQv4cu0Po25u5KuohYRESnuFADllqVeNjNqwQ5W7P7r9jod6oQx+fEGlPDTlK+IiIgjUACUW5J4IoWYuAROXryMp7uJ0Z1rM/C+yphMmvIVERFxFAqAclMMw+Dz9Ud4e8UfmPMMIkJ8mdGnCQ0jSti7NBEREblFCoByQymZOYyYv52f9p4BoHO9cCb1aECwrz5LUURExBEpAMp1bT12gaFx2ziVmoWXuxuvP1ybfi0qacpXRETEgSkASoEsFoNP1x1m8sp95FkMKpfyY0ZUE+qVD7Z3aSIiInKHFADlKuczsnlp/nZW7zsLQNeG5Xjz0XoE+mjKV0RExBkoAEo+vx+5wNA5CSSnZePt4ca4bnXp3TRCU74iIiJORAFQgL+mfD9cfZAp8fuxGFC1jD+xUU2oXTbI3qWJiIhIIVMAFM6mZzP8m0TWHTgHwGONyzOxez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This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"gpt-4o"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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Expert at analyzing various file types.\nYour personal goal is: Analyze and describe files - accurately\nTo give my best complete final answer to the task respond using - the exact following format:\n\nThought: I now can give a great answer\nFinal - Answer: Your final answer must be the great and the most complete as possible, - it must be outcome described.\n\nI MUST use these formats, my job depends on - it!"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: Describe - this image briefly.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"model":"o4-mini"}' + accurately"},{"role":"user","content":[{"type":"text","text":"\nCurrent Task: + Describe this image briefly.\n\nProvide your complete response:"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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it!\n\nThought:"},{"type":"input_image","image_url":"data:image/png;base64,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"}]}],"model":"gpt-4o-mini","instructions":"You + Task: Describe this image briefly.\n\nProvide your complete response:"},{"type":"input_image","image_url":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABr0klEQVR4nO3dd3RU5fr+//ek90CAJJTQpXelKQoIBBBBFKUEFBDxiAl6QBDxKPWoKIpSYv0qqIcAUkVEMCpVAYEQuvQqJNQ0QpJJZv/+8Md8jISezGRmrtdaWYtd5tn3nckkF/uZvcdkGIaBiIiIiLgMN3sXICIiIiK2pQAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFREREXIwCoIiIiIiLUQAUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARURERFyMAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBgFQBEREREXowAoIiIi4mIUAEVERERcjAKgiIiIiItRABQRERFxMQqAIiIiIi5GAVBERETExSgAioiIiLgYBUARERERF6MAKCIiIuJiFABFRFzEgAEDqFy5sr3LEJFiQAFQxEnNmjULk8lk/fLw8KB8+fIMGDCAP//8097lFXvLli2jU6dOlCpVCh8fH2rUqMGIESM4f/68vUvL5+/P8fW+Vq9ebe9SRaQY8bB3ASJStCZMmECVKlXIyspi48aNzJo1i/Xr17Nr1y58fHzsXV6xNGLECN577z0aNmzIqFGjCAkJISEhgRkzZjB37lx+/vlnatasae8yAfj666/zLX/11VfEx8dftb527dp89tlnWCwWW5YnIsWUyTAMw95FiEjhmzVrFgMHDmTz5s3cc8891vWvvPIKb7/9NvPmzaNnz552rLB4mjNnDlFRUfTq1YvZs2fj7u5u3fb777/Ttm1bqlWrRkJCAh4etvs/9KVLl/D397/hfjExMcTGxqJf7SJyPZoCFnEx999/PwCHDh3Kt/6PP/7g8ccfJyQkBB8fH+655x6WLl1q3b5lyxZMJhNffvnlVWOuXLkSk8nEsmXLrOv+/PNPnn76acLCwvD29qZu3bp88cUX+R63evVqTCYT33zzDW+88QYVKlTAx8eHdu3acfDgwXz7Vq5cmQEDBlx17DZt2tCmTZt867Kzsxk7dizVq1fH29ubiIgIXn75ZbKzs2/4/Rk/fjwlS5bk008/zRf+AJo1a8aoUaPYuXMnCxYsAP4KXAEBAWRmZl41Vp8+fQgPDycvL8+67ocffuD+++/H39+fwMBAunTpwu7du/M9bsCAAQQEBHDo0CEeeughAgMD6du37w1rv5F/vgfw6NGjmEwm3n33XWJjY6latSp+fn5ERkZy4sQJDMNg4sSJVKhQAV9fXx555BEuXLhw1bg305OIFC8KgCIu5ujRowCULFnSum737t20aNGCvXv38sorr/Dee+/h7+9P9+7dWbx4MQD33HMPVatW5ZtvvrlqzHnz5lGyZEk6duwIQHJyMi1atOCnn34iJiaGqVOnUr16dQYNGsQHH3xw1eMnTZrE4sWLGTFiBKNHj2bjxo23HXgsFgvdunXj3XffpWvXrkyfPp3u3bvz/vvv06tXr+s+9sCBA+zbt49HHnmEoKCgAvd56qmnAKxht1evXly6dInvv/8+336ZmZl89913PP7449Yg+fXXX9OlSxcCAgJ4++23ef3119mzZw+tWrWyPi9X5Obm0rFjR0JDQ3n33Xfp0aPH7Xw7bsrs2bP58MMPGTp0KC+99BJr1qyhZ8+evPbaa6xYsYJRo0bx7LPP8t133zFixIh8j72VnkSkGDFExCnNnDnTAIyffvrJOHv2rHHixAljwYIFRpkyZQxvb2/jxIkT1n3btWtn1K9f38jKyrKus1gsxr333mvcdddd1nWjR482PD09jQsXLljXZWdnGyVKlDCefvpp67pBgwYZZcuWNc6dO5evpt69exvBwcFGZmamYRiGsWrVKgMwateubWRnZ1v3mzp1qgEYO3futK6rVKmS0b9//6v6bN26tdG6dWvr8tdff224ubkZ69aty7ffxx9/bADGr7/+es3v2ZIlSwzAeP/996+5j2EYRlBQkNGkSRPDMP76PpUvX97o0aNHvn2++eYbAzDWrl1rGIZhpKenGyVKlDAGDx6cb7+kpCQjODg43/r+/fsbgPHKK69ct46CREdHG9f61d6/f3+jUqVK1uUjR44YgFGmTBkjJSXFun706NEGYDRs2NAwm83W9X369DG8vLysPye30pOIFC86Ayji5Nq3b0+ZMmWIiIjg8ccfx9/fn6VLl1KhQgUALly4wC+//ELPnj1JT0/n3LlznDt3jvPnz9OxY0cOHDhgvWq4V69emM1mFi1aZB3/xx9/JCUlxXp2zTAMFi5cSNeuXTEMwzreuXPn6NixI6mpqSQkJOSrceDAgXh5eVmXr0xTHz58+Jb7nT9/PrVr16ZWrVr5jv3ggw8CsGrVqms+Nj09HYDAwMDrHiMwMJC0tDTgr6twn3jiCZYvX05GRoZ1n3nz5lG+fHlatWoFQHx8PCkpKfTp0ydfXe7u7jRv3rzAuoYMGXJrzd+mJ554guDgYOty8+bNAejXr1++9zk2b96cnJwc68/D7fQkIsWDrgIWcXKxsbHUqFGD1NRUvvjiC9auXYu3t7d1+8GDBzEMg9dff53XX3+9wDHOnDlD+fLladiwIbVq1WLevHkMGjQI+CvolC5d2hqwzp49S0pKCp9++imffvrpNcf7u4oVK+ZbvjI9ffHixVvu98CBA+zdu5cyZcrc1LH/7krwuxIEryU9PZ3Q0FDrcq9evfjggw9YunQpUVFRZGRksHz5cv71r39hMpmsdQHW79M//XPK2cPDwxrSi9o/v/9XwmBERESB6688L7fak4gUHwqAIk6uWbNm1quAu3fvTqtWrYiKimLfvn0EBARYbwsyYsQI63v4/ql69erWf/fq1Ys33niDc+fOERgYyNKlS+nTp4/1TNGV8fr160f//v0LHK9Bgwb5lv95scUVxt+uZL0SpP4pLy8v3+MtFgv169dnypQpBe7/z1Dzd7Vr1wZgx44d19zn2LFjpKWlUadOHeu6Fi1aULlyZb755huioqL47rvvuHz5cr73HF75vnz99deEh4dfNe4/ryj29vbGzc02kzTX+v7f6Hm51Z5EpPjQq1PEhbi7u/PWW2/Rtm1bZsyYwSuvvELVqlUB8PT0pH379jcco1evXowfP56FCxcSFhZGWloavXv3tm4vU6YMgYGB5OXl3dR4N6tkyZKkpKRctf7YsWPWHgCqVavG9u3badeu3TVD47XUqFGDGjVqsGTJEqZOnVrgVPBXX30FwMMPP5xvfc+ePZk6dSppaWnMmzePypUr06JFi3x1AYSGhhbq98WenLEnEVeh9wCKuJg2bdrQrFkzPvjgA7KysggNDaVNmzZ88sknnD59+qr9z549m2+5du3a1K9fn3nz5jFv3jzKli3LAw88YN3u7u5Ojx49WLhwIbt27brheDerWrVqbNy4kZycHOu6ZcuWceLEiXz79ezZkz///JPPPvvsqjEuX77MpUuXrnucMWPGcPHiRZ577rl8t28B2Lp1K2+//Tb16tW76qrcXr16kZ2dzZdffsmKFSuuusdix44dCQoK4s0338RsNl913Nv9vtiTM/Yk4ip0BlDEBY0cOZInnniCWbNm8dxzzxEbG0urVq2oX78+gwcPpmrVqiQnJ7NhwwZOnjzJ9u3b8z2+V69ejBkzBh8fHwYNGnTVVOWkSZNYtWoVzZs3Z/DgwdSpU4cLFy6QkJDATz/9VOC95G7kmWeeYcGCBXTq1ImePXty6NAh/ve//1nPQl3x5JNP8s033/Dcc8+xatUq7rvvPvLy8vjjjz/45ptvWLlyZb4bY/9T37592bx5M1OnTmXPnj307duXkiVLkpCQwBdffEGpUqVYsGABnp6e+R7XpEkTqlevzn/+8x+ys7OvuuVMUFAQH330EU8++SRNmjShd+/elClThuPHj/P9999z3333MWPGjFv+vtiTM/Yk4jLseg2yiBSZK7eB2bx581Xb8vLyjGrVqhnVqlUzcnNzDcMwjEOHDhlPPfWUER4ebnh6ehrly5c3Hn74YWPBggVXPf7AgQMGYADG+vXrCzx+cnKyER0dbURERBienp5GeHi40a5dO+PTTz+17nPlNjDz58/P99grtyeZOXNmvvXvvfeeUb58ecPb29u47777jC1btlx1GxjDMIycnBzj7bffNurWrWt4e3sbJUuWNO6++25j/PjxRmpq6s18+4wlS5YYHTp0MEqWLGl4e3sb1atXN1566SXj7Nmz13zMf/7zHwMwqlevfs19Vq1aZXTs2NEIDg42fHx8jGrVqhkDBgwwtmzZYt2nf//+hr+//03V+U+3cxuYyZMnX1VjQc/LtX6mbqYnESle9FFwIiIiIi5G7wEUERERcTEKgCIiIiIuRgFQRERExMUoAIqIiIi4GAVAERERERejACgiIiLiYhQARURERFyMPgnkDlgsFk6dOkVgYOAtf+aoiIiI2IdhGKSnp1OuXLmrPsnIVSgA3oFTp04RERFh7zJERETkNpw4cYIKFSrYuwy7UAC8A4GBgcBfP0BBQUGFOrbZbObHH38kMjLyqs8cdQbqz/E5e4/qz/E5e4/q7/alpaURERFh/TvuihQA78CVad+goKAiCYB+fn4EBQU57Qtb/Tk2Z+9R/Tk+Z+9R/d05V377lmtOfIuIiIi4MAVAERERERejACgiIiLiYhQARURERFyMAqCIiIiIi1EAFBEREXExCoAiIiIiLkYBUERERMTFKACKiIiIuBiHDIAfffQRDRo0sH4CR8uWLfnhhx+s27OysoiOjqZUqVIEBATQo0cPkpOT841x/PhxunTpgp+fH6GhoYwcOZLc3FxbtyIiIiJicw4ZACtUqMCkSZPYunUrW7Zs4cEHH+SRRx5h9+7dAAwbNozvvvuO+fPns2bNGk6dOsVjjz1mfXxeXh5dunQhJyeH3377jS+//JJZs2YxZswYe7UkIiIiYjMO+VnAXbt2zbf8xhtv8NFHH7Fx40YqVKjA559/TlxcHA8++CAAM2fOpHbt2mzcuJEWLVrw448/smfPHn766SfCwsJo1KgREydOZNSoUYwbNw4vLy97tCUiIiJ/Yxj2rsB5OWQA/Lu8vDzmz5/PpUuXaNmyJVu3bsVsNtO+fXvrPrVq1aJixYps2LCBFi1asGHDBurXr09YWJh1n44dOzJkyBB2795N48aNCzxWdnY22dnZ1uW0tDTgrw+sNpvNhdrXlfEKe9ziQv05PmfvUf05Pmfv0dn723LkHG/vcKfmPalUDwsu1LGd9Xt2Kxw2AO7cuZOWLVuSlZVFQEAAixcvpk6dOiQmJuLl5UWJEiXy7R8WFkZSUhIASUlJ+cLfle1Xtl3LW2+9xfjx469a/+OPP+Ln53eHHRUsPj6+SMYtLtSf43P2HtWf43P2Hp2tP8OAVadNfHfcDYthYlTcBgbVtBTqMTIzMwt1PEfksAGwZs2aJCYmkpqayoIFC+jfvz9r1qwp0mOOHj2a4cOHW5fT0tKIiIggMjKSoKCgQj2W2WwmPj6eDh064OnpWahjFwfqz/E5e4/qz/E5e4/O2N/FzBxGLdrFqmPnAGgUYuGTZ1oTEuhbqMe5MoPnyhw2AHp5eVG9enUA7r77bjZv3szUqVPp1asXOTk5pKSk5DsLmJycTHh4OADh4eH8/vvv+ca7cpXwlX0K4u3tjbe391XrPT09i+zFV5RjFwfqz/E5e4/qz/E5e4/O0t+Woxd4Yc42TqVm4eXhxquda1Li7E5CAn0LvT9n+H7dKYe8CrggFouF7Oxs7r77bjw9Pfn555+t2/bt28fx48dp2bIlAC1btmTnzp2cOXPGuk98fDxBQUHUqVPH5rWLiIi4KovF4MPVB+n16UZOpWZRpbQ/i5+/l77NIjCZ7F2d83LIM4CjR4+mc+fOVKxYkfT0dOLi4li9ejUrV64kODiYQYMGMXz4cEJCQggKCmLo0KG0bNmSFi1aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wDN8IiIiUvjOZ2Qz/JvtrNl/FoBHGpXjjUfrE+DtoQs1iphDBsAzZ87w1FNPcfr0aYKDg2nQoAErV66kQ4cOALz//vu4ubnRo0cPsrOz6dixIx9++KH18e7u7ixbtowhQ4bQsmVL/P396d+/PxMmTLBXSyIiIi5l0+HzvDB3G8lp2Xh7uDG+W116NY3ApNN+NuGQAfDzzz+/7nYfHx9iY2OJjY295j6VKlVi+fLlhV2aiIiIXEeexeDDVQd5/6f9WAyoVsaf2L5NqBVeuBdTyvU5ZAAUERERx3M2PZt/z9vGrwfPA9CjSQUmdq+Ln5fiiK3pOy4iIiJF7teD53hxbiLnMrLx9XRnYvd6PH53BXuX5bIUAEVERKTI5FkMpv58gOm/HMAwoEZYALFRTbgrLNDepbk0BUAREREpEslpWbwwZxubjlwAoHfTCMZ2rYuvl7udKxMFQBERESl0a/afZfi8RM5fysHfy503H6vPI43K27ss+f8pAIqIiEihyc2z8F78fj5afQiA2mWDiI1qTNUyAXauTP5OAVBEREQKxamUy7wwZxtbjl0EoF+LirzWpQ4+npryLW4UAEVEROSO/fJHMsO/2U5KppkAbw8m9ajPww3K2bssuQYFQBEREblt5jwLk1fu49O1hwGoXz6YGVGNqVTK386VyfUoAIqIiMhtOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOVb3CkAioiIyC1buTuJkfO3k5aVS5CPB+883pBO9cLtXZbcJAVAERERuWk5uRbe+mEvM389CkDDiBLM6NOYiBA/+xYmt0QBUERERG7K8fOZxMxJYMfJVAAG31+FkR1r4eXhZufK5FYpAIqIiMgNLd95mlELdpCenUsJP0/efbwh7euE2bssuU0KgCIiInJNWeY83vh+L19vPAbA3ZVKMq1PY8qX8LVzZXInFABFRESkQEfOXSJ6dgJ7TqcBMKRNNYZ3qIGnu6Z8HZ0CoIiIiFzl28Q/eXXRTi7l5BHi78WUng1pUzPU3mVJIVEAFBEREasscx7jv9vNnN9PANCsSgjTejcmPNjHzpVJYVIAFBEREQAOnskgenYC+5LTMZkgpm11Xmx3Fx6a8nU6CoAiIiLCwq0neW3JLi6b8ygd4M0HvRrR6q7S9i5LiogCoIiIiAvLzMllzLe7WbD1JAD3VivFB70bERqoKV9npgAoIiLiovYnpxM9O4EDZzJwM8GL7WoQ82B13N1M9i5NipgCoIiIiIsxDINvtpxg7NLdZJkthAZ6M7V3Y1pWK2Xv0sRGFABFRERcSEZ2Lq8t3smSxFMA3H9Xad7v1YjSAd52rkxsSQFQRETERew5lUZMXAKHz13C3c3ES5E1eO6BarhpytflKACKiIg4OcMwiPv9OOO/20NOroWywT5M69OYppVD7F2a2IkCoIiIiBNLzzLzyqKdfL/jNAAP1grl3ScaEuLvZefKxJ4UAEVERJzUrj9TiY5L4Nj5TDzcTLzcqSbPtKqqKV9RABQREXE2hmHw5W9HeXP5H+TkWShfwpfpUY1pUrGkvUuTYkIBUERExImkXjYzasEOVuxOAqBDnTDefbwhwX6edq5MihMFQBERESeReCKFmLgETl68jKe7idGdazPwvsqYTJrylfwc8tOd33rrLZo2bUpgYCChoaF0796dffv2WbcfPXoUk8lU4Nf8+fOt+xW0fe7cufZoSURE5LYZhsH/W3eYxz/6jZMXLxMR4suC5+7l6VZVFP6kQA55BnDNmjVER0fTtGlTcnNzefXVV4mMjGTPnj34+/sTERHB6dOn8z3m008/ZfLkyXTu3Dnf+pkzZ9KpUyfrcokSJWzRgoiISKFIyTQzekkiP+09A8BD9cOZ1KMBQT6a8pVrc8gAuGLFinzLs2bNIjQ0lK1bt/LAAw/g7u5OeHh4vn0WL15Mz549CQgIyLe+RIkSV+0rIiLiCI6kw6QPN3A6NQsvDzdef7gO/ZpX1Fk/uSGHDID/lJqaCkBISME3tNy6dSuJiYnExsZetS06OppnnnmGqlWr8txzzzFw4MBrvnCys7PJzs62LqelpQFgNpsxm8132kY+V8Yr7HGLC/Xn+Jy9R/Xn+Jy5R4vF4NO1h5i2yx0LWVQu5cfUXg2oUzaI3Nxce5dXKIry+XPGn4lbZTIMw7B3EXfCYrHQrVs3UlJSWL9+fYH7PP/886xevZo9e/bkWz9x4kQefPBB/Pz8+PHHHxk7dizvvPMOL7zwQoHjjBs3jvHjx1+1Pi4uDj8/vztvRkRE5AYyzPC/g27sTfnrbfxNSlnoVc2Cj7udC3MgmZmZREVFkZqaSlBQkL3LsQuHD4BDhgzhhx9+YP369VSoUOGq7ZcvX6Zs2bK8/vrrvPTSS9cda8yYMcycOZMTJ04UuL2gM4ARERGcO3eu0H+AzGYz8fHxdOjQAU9P53sfh/pzfM7eo/pzfM7Y4+9HLzD8m50kp2fj7eFG94pmxvRth5eX832qR1E+f2lpaZQuXdqlA6BDTwHHxMSwbNky1q5dW2D4A1iwYAGZmZk89dRTNxyvefPmTJw4kezsbLy9va/a7u3tXeB6T0/PIvvlUpRjFwfqz/E5e4/qz/E5Q48Wi8GHqw8yJX4/FgOqlfFnas8GHEpYh5eXl8P3dz1F8fw58/frZjlkADQMg6FDh7J48WJWr15NlSpVrrnv559/Trdu3ShTpswNx01MTKRkyZIFhjwRERF7OJuezfBvEll34BwAjzUpz8RH6uHlZnDIzrWJ43LIABgdHU1cXBzffvstgYGBJCX9dbfz4OBgfH19rfsdPHiQtWvXsnz58qvG+O6770hOTqZFixb4+PgQHx/Pm2++yYgRI2zWh4iIyPX8dvAcL85L5Gx6Nr6e7kx4pC5P3BMB6EIGuTMOGQA/+ugjANq0aZNv/cyZMxkwYIB1+YsvvqBChQpERkZeNYanpyexsbEMGzYMwzCoXr06U6ZMYfDgwUVZuoiIyA3lWQym/nyA6b8cwDCgRlgAsVFNuCss0N6liZNwyAB4s9etvPnmm7z55psFbuvUqVO+G0CLiIgUB8lpWbw4dxsbD18AoNc9EYzrVhdfL13mK4XHIQOgiIiIM1q7/yzD5iVy/lIOfl7uvPlofbo3Lm/vssQJKQCKiIjYWW6ehfd/2s+Hqw9hGFC7bBCxUY2pWibgxg8WuQ0KgCIiInZ0OvUyL8zZxuajFwHo27wirz9cBx9PTflK0VEAFBERsZNVf5xh+DeJXMw0E+DtwaQe9Xm4QTl7lyUuQAFQRETExsx5Ft5duY9P1h4GoF75IGb0aULl0v52rkxchQKgiIiIDZ28mMnQOdvYdjwFgAH3Vmb0Q7Xw9tCUr9iOAqCIiIiN/Lg7iZELdpB62UygjweTH29Ap3pl7V2WuCAFQBERkSKWk2th0g9/8MWvRwBoWCGYGVFNiAjxs3Nl4qoUAEVERIrQiQuZxMQlsP1kKgDPtKrCy51q4eXhZufKxJUpAIqIiBSRH3ae5uWFO0jPyiXY15P3nmhI+zph9i5LRAFQRESksGWZ83hz+V6+2nAMgLsrlWRan8aUL+Fr58pE/qIAKCIiUoiOnLtETFwCu0+lAfBc62q8FFkDT3dN+UrxoQAoIiJSSJZuP8Wri3aSkZ1LiL8X7/VsSNuaofYuS+QqCoAiIiJ3KMucx/jv9jDn9+MANKscwrQ+jQkP9rFzZSIFUwAUERG5AwfPZBATl8AfSemYTBDTtjovtrsLD035SjGmACgiInKbFiWc5LUlu8jMyaN0gBfv92rE/XeVsXdZIjekACgiInKLMnNyGfvtbuZvPQlAy6qlmNq7EaFBmvIVx6AAKCIicgv2J6cTPTuBA2cycDPBi+1qEPNgddzdTPYuTeSmKQCKiIjcBMMwmL/1JGO+3UWW2UJooDdTezemZbVS9i5N5JYpAIqIiNzApexcXluyi8Xb/gTg/rtK836vRpQO8LZzZSK3RwFQRETkOvaeTiM6LoHDZy/h7mZieIcaDGldDTdN+YoDUwAUEREpgGEYzPn9BOO+201OroXwIB+mRzWmaeUQe5cmcscUAEVERP4hPcvMq4t38d32UwC0rVmG93o2IsTfy86ViRQOBUAREZG/2fVnKjFxCRw9n4mHm4mXO9XkmVZVNeUrTkUBUEREhL+mfL/acIw3vt9LTp6F8iV8mdanMXdXKmnv0kQKnQKgiIi4vNTLZl5ZuIMfdiUB0L52GO8+0YASfpryFeekACgiIi5t+4kUYuYkcOLCZTzdTYzuXJuB91XGZNKUrzgvBUAREXFJhmHwxa9HmfTDXsx5BhEhvszo04SGESXsXZpIkVMAFBERl5OSmcOI+Tv4aW8yAJ3rhTOpRwOCfT3tXJmIbSgAioiIS9l67CIvzNnGnymX8XJ34/WHa9OvRSVN+YpLUQAUERGXYLEYfLbuMJNX7iPXYlC5lB8zoppQr3ywvUsTsTk3exdwO9566y2aNm1KYGAgoaGhdO/enX379uXbp02bNphMpnxfzz33XL59jh8/TpcuXfDz8yM0NJSRI0eSm5try1ZERMQGLlzKYdCXm3nrhz/ItRh0bViO74a2UvgTl+WQZwDXrFlDdHQ0TZs2JTc3l1dffZXIyEj27NmDv7+/db/BgwczYcIE67Kfn5/133l5eXTp0oXw8HB+++03Tp8+zVNPPYWnpydvvvmmTfsREZGis/noRYbP30lSWhbeHm6M61aX3k0jNOUrLs0hA+CKFSvyLc+aNYvQ0FC2bt3KAw88YF3v5+dHeHh4gWP8+OOP7Nmzh59++omwsDAaNWrExIkTGTVqFOPGjcPLS/d+EhFxZBaLwY8nTazYtIU8i0HVMv7ERjWhdtkge5cmYncOGQD/KTU1FYCQkPwf0D179mz+97//ER4eTteuXXn99detZwE3bNhA/fr1CQsLs+7fsWNHhgwZwu7du2ncuPFVx8nOziY7O9u6nJaWBoDZbMZsNhdqT1fGK+xxiwv15/icvUf159jOZ2Tz0vwd/HrCHTDo3rAs47rWxt/bw2l6dvbnsCj7c9bv2a0wGYZh2LuIO2GxWOjWrRspKSmsX7/euv7TTz+lUqVKlCtXjh07djBq1CiaNWvGokWLAHj22Wc5duwYK1eutD4mMzMTf39/li9fTufOna861rhx4xg/fvxV6+Pi4vJNL4uIiP0cSDXx1QE30swmPN0MHq9ioXkZA834yhWZmZlERUWRmppKUJBrnhF2+DOA0dHR7Nq1K1/4g78C3hX169enbNmytGvXjkOHDlGtWrXbOtbo0aMZPny4dTktLY2IiAgiIyML/QfIbDYTHx9Phw4d8PR0vvtSqT/H5+w9qj/Hk2cx+HD1YT7ceAiLAdXL+PN4uVSeesR5evw7Z3wO/64o+7syg+fKHDoAxsTEsGzZMtauXUuFChWuu2/z5s0BOHjwINWqVSM8PJzff/893z7JyX/dEPRa7xv09vbG29v7qvWenp5F9uIryrGLA/Xn+Jy9R/XnGM6kZfHi3EQ2HD4PQM97KvBa55qs+mml0/R4Lerv9sZ0dQ55GxjDMIiJiWHx4sX88ssvVKlS5YaPSUxMBKBs2bIAtGzZkp07d3LmzBnrPvHx8QQFBVGnTp0iqVtERArfugNneWjaOjYcPo+flzvv92rIO483xNfL3d6liRRbDnkGMDo6mri4OL799lsCAwNJSkoCIDg4GF9fXw4dOkRcXBwPPfQQpUqVYseOHQwbNowHHniABg0aABAZGUmdOnV48skneeedd0hKSuK1114jOjq6wLN8IiJSvOTmWfjgpwPErj6IYUCt8EBi+zahWpkAe5cmUuw5ZAD86KOPgL9u9vx3M2fOZMCAAXh5efHTTz/xwQcfcOnSJSIiIujRowevvfaadV93d3eWLVvGkCFDaNmyJf7+/vTv3z/ffQNFRKR4Op16mRfnJPL70QsARDWvyJiH6+DjqbN+IjfDIQPgjS5cjoiIYM2aNTccp1KlSixfvrywyhIRERtYte8Mw+clcjHTTIC3B289Vp+uDcvZuywRh+KQAVBERFyPOc/Cuz/u45M1hwGoVz6IGX2aULm0/w0eKSL/pAAoIiLF3p8plxkal0DC8RQA+resxKtdauPtoSlfkduhACgiIsVa/J5kRszfTuplM4E+HrzTowGd65e1d1kiDk0BUEREiqWcXAtvr/iDz9cfAaBhhWBmRDUhIkSfvCRypxQARUSk2DlxIZOYOdvYfiIFgEGtqjCqUy28PBzy9rUixY4CoIiIFCsrdp1m5IIdpGflEuzrybtPNKRDnTB7lyXiVBQARUSkWMjOzePN7/fy5YZjADSpWILpUU0oX8LXzpWJOB8FQBERsbuj5y4RMyeBXX+mAfCv1lUZEVkTT3dN+YoUBQVAERGxq++2n2L0op1kZOdS0s+TKT0b0bZWqL3LEnFqCoAiImIXWeY8JizbQ9ym4wA0qxzC1D6NKBusKV+RoqYAKCIiNnfobAbRsxP4Iykdkwmi21Tn3+3vwkNTviI2oQAoIiI2tXjbSf6zeBeZOXmUDvDi/V6NuP+uMvYuS8SlKACKiIhNXM7JY+zSXXyz5SQALauWYmrvRoQG+di5MhHXowAoIiJF7kByOtFxCexPzsBkghfb3cXQB+/C3c1k79JEXJICoIiIFBnDMJi/9SRjvt1FltlCmUBvpvZuxL3VStu7NBGXpgAoIiJF4lJ2Lq8v2cWibX8CcP9dpXm/VyNKB3jbuTIRUQAUEZFCt/d0GjFxCRw6ewk3E7wUWZMhravhpilfkWJBAVBERAqNYRjM+f0E47/bTXauhfAgH6b1aUyzKiH2Lk1E/kYBUERECkV6lplXF+/iu+2nAGhTswxTejYixN/LzpWJyD8pAIqIyB3b9WcqMXEJHD2fiYebiZEdazL4/qqa8hUpphQARUTkthmGwf82HmPisr3k5FkoX8KXaX0ac3elkvYuTUSuQwFQRERuS1qWmVcW7mD5ziQA2tcO490nGlDCT1O+IsWdAqCIiNyy7SdSiJmTwIkLl/F0N/FK59o8fV9lTCZN+Yo4AgVAERG5aYZhMPPXo7z1w17MeQYRIb7M6NOEhhEl7F2aiNwCBUAREbkpKZk5jFywg/g9yQB0rhfOpB4NCPb1tHNlInKrFABFROSGEo5fZGjcNv5MuYyXuxuvPVybJ1tU0pSviINSABQRkWuyWAw+W3eYySv3kWsxqFTKj9ioJtQrH2zv0kTkDigAiohIgS5cymHE/O388scZAB5uUJa3HqtPoI+mfEUcnQKgiIhcZfPRCwyN20ZSWhbeHm6M7VqXPs0iNOUr4iQUAEVExMpiMfhozSGmxO8nz2JQtYw/sVFNqF02yN6liUghUgAUEREAzmVkM2xeIusOnAPgscblmdi9Hv7e+lMh4mzcbHkws9nMiRMn2LdvHxcuXLjtcd566y2aNm1KYGAgoaGhdO/enX379lm3X7hwgaFDh1KzZk18fX2pWLEiL7zwAqmpqfnGMZlMV33NnTv3tusSEXFUGw6d56Gp61h34Bw+nm6883gD3uvZUOFPxEkV+Ss7PT2d//3vf8ydO5fff/+dnJwcDMPAZDJRoUIFIiMjefbZZ2natOlNj7lmzRqio6Np2rQpubm5vPrqq0RGRrJnzx78/f05deoUp06d4t1336VOnTocO3aM5557jlOnTrFgwYJ8Y82cOZNOnTpZl0uUKFFYrYuIFHt5FoMPfzrA1J/3YzHgrtAAYvs2oUZYoL1LE5EiVKQBcMqUKbzxxhtUq1aNrl278uqrr1KuXDl8fX25cOECu3btYt26dURGRtK8eXOmT5/OXXfddcNxV6xYkW951qxZhIaGsnXrVh544AHq1avHwoULrdurVavGG2+8Qb9+/cjNzcXD4//aLlGiBOHh4YXXtIiIg0jLgYFfbmXD4b9mZHreU4Hx3erh6+Vu58pEpKgVaQDcvHkza9eupW7dugVub9asGU8//TQff/wxM2fOZN26dTcVAP/pytRuSEjIdfcJCgrKF/4AoqOjeeaZZ6hatSrPPfccAwcOvOZVbtnZ2WRnZ1uX09LSgL+mts1m8y3XfT1XxivscYsL9ef4nL1HZ+9vzb5k3t7hTob5An5e7ozvWpvujcoBFsxmi73LKxTO/hyqvzsf25WZDMMw7F3EnbBYLHTr1o2UlBTWr19f4D7nzp3j7rvvpl+/frzxxhvW9RMnTuTBBx/Ez8+PH3/8kbFjx/LOO+/wwgsvFDjOuHHjGD9+/FXr4+Li8PPzK5yGRESKUJ4BK064Ef+nCQMTZf0MBtbII8zX3pWJ2E5mZiZRUVHWk0OuyOED4JAhQ/jhhx9Yv349FSpUuGp7WloaHTp0ICQkhKVLl+Lpee0bmI4ZM4aZM2dy4sSJArcXdAYwIiKCc+fOFfoPkNlsJj4+ng4dOly3Zkel/hyfs/fojP0lpWUxfP5ONh+9CMC9YRZmPN2GQD8fO1dWNJzxOfw79Xf70tLSKF26tEsHwCK/COTpp5++qf2++OKLWx47JiaGZcuWsXbt2gLDX3p6Op06dSIwMJDFixff8AeoefPmTJw4kezsbLy9va/a7u3tXeB6T0/PInvxFeXYxYH6c3zO3qOz9Ld63xmGf7OdC5dyCPD2YGK32rid3Eagn49T9Hc9zvIcXov6u70xXV2RB8BZs2ZRqVIlGjduTGGdbDQMg6FDh7J48WJWr15NlSpVrtonLS2Njh074u3tzdKlS/HxufH/cBMTEylZsmSBIU9ExBGZ8yy89+N+Pl5zCIC65YKIjWpC+WAvlp/cZufqRMReijwADhkyhDlz5nDkyBEGDhxIv379rnuxxs2Ijo4mLi6Ob7/9lsDAQJKSkgAIDg7G19eXtLQ0IiMjyczM5H//+x9paWnWCzbKlCmDu7s73333HcnJybRo0QIfHx/i4+N58803GTFixB33LCJSHPyZcpkX5mxj67G/pnz7t6zE6Idq4+PprjfBi7i4Ir8RdGxsLKdPn+bll1/mu+++IyIigp49e7Jy5crbPiP40UcfkZqaSps2bShbtqz1a968eQAkJCSwadMmdu7cSfXq1fPtc+X9fZ6ensTGxtKyZUsaNWrEJ598wpQpUxg7dmyh9S4iYi8/7Ummy7R1bD12kUAfDz7q24Txj9TDx1O3eBERG30UnLe3N3369KFPnz4cO3aMWbNm8fzzz5Obm8vu3bsJCAi4pfFuFBzbtGlzw306deqU7wbQIiLOICfXwjsr/uD/rT8CQMMKwUzv04SKpXSnAhH5Pzb/jB83NzdMJhOGYZCXl2frw4uIOK0TFzKJmbON7SdSAHj6viq80rkWXh42/dRPEXEANvmtkJ2dzZw5c+jQoQM1atRg586dzJgxg+PHj9/y2T8REbnail1JPDRtHdtPpBDs68lnT93DmK51FP5EpEBFfgbw+eefZ+7cuURERPD0008zZ84cSpcuXdSHFRFxCdm5eby1/A9m/XYUgCYVSzCtT2MqlNSUr4hcW5EHwI8//piKFStStWpV1qxZw5o1awrcb9GiRUVdioiIUzl2/hIxcdvY+edfH4f5r9ZVGRFZE093nfUTkesr8gD41FNPXfOzdUVE5PYs23GKVxbuJCM7l5J+nkzp2Yi2tULtXZaIOAib3AhaREQKR5Y5j4nL9jB703EAmlYuybQ+jSkbrA/zFZGbZ/OrgEVE5PYcOptB9OwE/khKx2SC6DbV+Xf7u/DQlK+I3CKb/NY4c+YMJ0+etC7n5uby2muv0bp1a1566SUyMzNtUYaIiMNasu1Puk5fzx9J6ZTy9+Krp5sxomNNhT8RuS02+c0xePBgvvzyS+vy5MmT+eyzz2jatClLly5l2LBhtihDRMThXM7JY9SCHfx7XiKZOXm0rFqKH168n/vvKmPv0kTEgdkkAO7YsYO2bdtal7/++mumTZvGu+++y9y5c/nuu+9sUYaIiEM5kJzOI7HrmbflBCYTvNjuLv73THNCg3zsXZqIOLgifQ/gwIEDATh16hRTpkzhs88+Iycnh3379rF48WJWrlyJxWLhzJkzPP300wB88cUXRVmSiIhDmL/lBGO+3c1lcx5lAr2Z2qsR91bXPVRFpHAUaQCcOXMmAGvXrmXQoEF07tyZefPmsXPnTubOnQvA+fPnWbp0qYKfiAhwKTuX17/dxaKEPwG4/67STOnZiDKB3nauTESciU2uAu7SpQtPP/003bp1Y8mSJbz88svWbb///jt16tSxRRkiIsXaH0lpRM9O4NDZS7iZ4KXImgxpXQ03N91LVUQKl00C4DvvvENwcDCJiYkMGzYs30UfmzZt4rnnnrNFGSIixZJhGMzbfIKxS3eTnWshPMiHaX0a06xKiL1LExEnZZMA6OPjw8SJEwvcNm7cOFuUICJSLGVk5/Lqop0s3X4KgDY1yzClZyNC/L3sXJmIODPdCFpExE52/ZlKTFwCR89n4u5m4uWONRl8f1VN+YpIkSvS28B06tSJjRs33nC/9PR03n77bWJjY4uyHBGRYsEwDL7ecJTHPvqNo+czKRfswzf/asm/9H4/EbGRIj0D+MQTT9CjRw+Cg4Pp2rUr99xzD+XKlcPHx4eLFy+yZ88e1q9fz/Lly+nSpQuTJ08uynJEROwuLcvMKwt3sHxnEgDta4fx7hMNKOGnKV8RsZ0iDYCDBg2iX79+zJ8/n3nz5vHpp5+SmpoKgMlkok6dOnTs2JHNmzdTu3btoixFRMTudpxMISZuG8cvZOLpbmJUp1oMalUFk0ln/UTEtor8PYDe3t7069ePfv36AZCamsrly5cpVaoUnp6eRX14ERG7MwyDmb8e5a0f9mLOM6hQ0pcZUU1oFFHC3qWJiIuy+UUgwcHBBAcH2/qwIiJ2kZppZuSC7fy4JxmATnXDefvxBgT76j/AImI/ugpYRKSIbDt+kZi4bfyZchkvdzdee7g2T7aopClfEbE7BUARkUJmsRh8vv4Ib6/4g1yLQaVSfsRGNaFeec1+iEjxoAAoIlKILl7K4aX52/nljzMAPNygLG89Vp9AH035ikjxoQAoIlJIthy9wNA52zidmoWXhxvjutalT7MITfmKSLFj0wCYkpLCggULOHToECNHjiQkJISEhATCwsIoX768LUsRESk0FovBR2sOMSV+P3kWg6ql/Ynt24TaZYPsXZqISIFsFgB37NhB+/btCQ4O5ujRowwePJiQkBAWLVrE8ePH+eqrr2xViohIoTmXkc3wb7azdv9ZAB5tXJ7/dq+Hv7cmWESk+CrSj4L7u+HDhzNgwAAOHDiAj4+Pdf1DDz3E2rVrbVWGiEih2Xj4PA9NXcfa/Wfx8XTjnccbMKVnQ4U/ESn2bPZbavPmzXzyySdXrS9fvjxJSUm2KkNE5I7lWQxm/HKQqT/vx2LAXaEBxPZtQo2wQHuXJiJyU2wWAL29vUlLS7tq/f79+ylTpoytyhARuSNn0rMYNi+RXw+eB+CJuysw/pG6+HnprJ+IOA6bTQF369aNCRMmYDabgb8+C/j48eOMGjWKHj162KoMEZHb9uvBczw0dT2/HjyPn5c7U3o2ZPITDRX+RMTh2CwAvvfee2RkZBAaGsrly5dp3bo11atXJzAwkDfeeOOWxnrrrbdo2rQpgYGBhIaG0r17d/bt25dvn6ysLKKjoylVqhQBAQH06NGD5OTkfPscP36cLl264OfnR2hoKCNHjiQ3N/eOexUR55KbZ2HKj/vo9/kmzmVkUys8kKUxrXisSQV7lyYiclts9t/W4OBg4uPjWb9+PTt27CAjI4MmTZrQvn37Wx5rzZo1REdH07RpU3Jzc3n11VeJjIxkz549+Pv7AzBs2DC+//575s+fT3BwMDExMTz22GP8+uuvAOTl5dGlSxfCw8P57bffOH36NE899RSenp68+eabhdq7iDiu5LQshi/Yxe9HLgDQp1lFxnatg4+nu50rExG5fTaft2jVqhWtWrW6ozFWrFiRb3nWrFmEhoaydetWHnjgAVJTU/n888+Ji4vjwQcfBGDmzJnUrl2bjRs30qJFC3788Uf27NnDTz/9RFhYGI0aNWLixImMGjWKcePG4eXldUc1iojj23vRxLjYDVzMNOPv5c5bPRrQrWE5e5clInLHbBYAJ0yYcN3tY8aMue2xU1NTAQgJCQFg69atmM3mfGcXa9WqRcWKFdmwYQMtWrRgw4YN1K9fn7CwMOs+HTt2ZMiQIezevZvGjRtfdZzs7Gyys7Oty1cuajGbzdb3NhaWK+MV9rjFhfpzfM7cY26ehffi9/P//nAHzNQpG8jUXg2oXMrfafp15ufvCmfvUf3d+diuzGQYhmGLA/0zUJnNZo4cOYKHhwfVqlUjISHhtsa1WCx069aNlJQU1q9fD0BcXBwDBw7MF9YAmjVrRtu2bXn77bd59tlnOXbsGCtXrrRuz8zMxN/fn+XLl9O5c+erjjVu3DjGjx9/1fq4uDj8/Pxuq34RKV4uZsOXB9w5kv7Xx7fdH2bhkcoWPG32jmkRKWqZmZlERUWRmppKUJBrfmKPzc4Abtu27ap1aWlpDBgwgEcfffS2x42OjmbXrl3W8FeURo8ezfDhw63LaWlpREREEBkZWeg/QGazmfj4eDp06ICnp/N9iLz6c3zO2OMv+87ywcJdpFw2E+DtzhOVchjZu73T9Pd3zvj8/ZOz96j+bl9Bt6VzNXa9d0FQUBDjx4+na9euPPnkk7f8+JiYGJYtW8batWupUOH/rsYLDw8nJyeHlJQUSpQoYV2fnJxMeHi4dZ/ff/8933hXrhK+ss8/eXt74+3tfdV6T0/PInvxFeXYxYH6c3zO0GNOroV3VvzB/1t/BICGFYKZ8kR9dm1c7RT9XY+z9wfO36P6u70xXZ3dJzVSU1Ot7+G7WYZhEBMTw+LFi/nll1+oUqVKvu133303np6e/Pzzz9Z1+/bt4/jx47Rs2RKAli1bsnPnTs6cOWPdJz4+nqCgIOrUqXMHHYmIIzlxIZOen2ywhr+n76vC/OfupWKI3tYhIs7LZmcAp02blm/ZMAxOnz7N119/XeD77a4nOjqauLg4vv32WwIDA60fJRccHIyvry/BwcEMGjSI4cOHExISQlBQEEOHDqVly5a0aNECgMjISOrUqcOTTz7JO++8Q1JSEq+99hrR0dEFnuUTEeezcncSI+dvJy0rlyAfD959oiGRdf+aATCb8+xcnYhI0bFZAHz//ffzLbu5uVGmTBn69+/P6NGjb2msjz76CIA2bdrkWz9z5kwGDBhgPZ6bmxs9evQgOzubjh078uGHH1r3dXd3Z9myZQwZMoSWLVvi7+9P//79b3i1sog4vuzcPN5a/gezfjsKQOOKJZjepzEVSuqsn4i4BpsFwCNHjhTaWDdz4bKPjw+xsbHExsZec59KlSqxfPnyQqtLRIq/Y+cvERO3jZ1//vXWk389UJURHWvi6W73d8SIiNiMPsBSRFzG9ztO88rCHaRn51LSz5P3ejbkwVphN36giIiTsVkAvHTpEpMmTeLnn3/mzJkzWCyWfNsPHz5sq1JExMVkmfP47/d7+N/G4wA0rVySaX0aUzbY186ViYjYh80C4DPPPMOaNWt48sknKVu2LCaTyVaHFhEXdvhsBtFx29h7Og2TCZ5vU41h7WvgoSlfEXFhNguAP/zwA99//z333XefrQ4pIi7u28Q/eXXRTi7l5FHK34v3ezXigRpl7F2WiIjd2SwAlixZ0vpZvSIiRelyTh7jv9vN3M0nAGhRNYSpvRsTFuRj58pERIoHm82BTJw4kTFjxpCZmWmrQ4qICzp4Jp3usb8yd/MJTCZ4sd1dzH6mhcKfiMjf2OwM4HvvvcehQ4cICwujcuXKV30MS0JCgq1KEREntWDrSV5fsovL5jzKBHoztVcj7q1e2t5liYgUOzYLgN27d7fVoUTExWTm5PL6kt0sTDgJQKvqpXm/VyPKBOpTfURECmKzADh27FhbHUpEXMi+pHSen72VQ2cv4WaC4R1q8Hyb6ri56U4DIiLXYtMbQaekpLBgwQIOHTrEyJEjCQkJISEhgbCwMMqXL2/LUkTEwRmGwbzNJxi7dDfZuRbCgryZ1rsxzauWsndpIiLFns0C4I4dO2jfvj3BwcEcPXqUwYMHExISwqJFizh+/DhfffWVrUoREQeXkZ3Lfxbv5NvEUwC0rlGGKT0bUipAU74iIjfDZlcBDx8+nAEDBnDgwAF8fP7varyHHnqItWvX2qoMEXFwu0+l0nX6er5NPIW7m4lXOtdi5oCmCn8iIrfAZmcAN2/ezCeffHLV+vLly5OUlGSrMkTEQRmGwf82HWfisj3k5FooF+zD9KjG3F1J9xcVEblVNguA3t7epKWlXbV+//79lCmjO/OLyLWlZZkZvXAn3+88DUD72qFMfrwhJf297FyZiIhjstkUcLdu3ZgwYQJmsxkAk8nE8ePHGTVqFD169LBVGSLiYHacTOHhaev5fudpPNxMvNalNp89dY/Cn4jIHbBZAHzvvffIyMggNDSUy5cv07p1a6pXr05gYCBvvPGGrcoQEQdhGAYzfz1Cj49+4/iFTCqU9GXBkHt55v6qmEy6xYuIyJ2w2RRwcHAw8fHxrF+/nh07dpCRkUGTJk1o3769rUoQEQeRmmnm5YXbWbk7GYBOdcN5+/EGBPt63uCRIiJyM2wWAE+cOEFERAStWrWiVatWtjqsiDiYbccvEhO3jT9TLuPl7sZ/utTmqZaVdNZPRKQQ2WwKuHLlyrRu3ZrPPvuMixcv2uqwIuIgDMPgs7WHeeLjDfyZcplKpfxYOORe+t9bWeFPRKSQ2SwAbtmyhWbNmjFhwgTKli1L9+7dWbBgAdnZ2bYqQUSKqYuXcnjmyy28sXwvuRaDLg3KsmxoK+pXCLZ3aSIiTslmAbBx48ZMnjyZ48eP88MPP1CmTBmeffZZwsLCePrpp21VhogUM1uOXuChaev4+Y8zeHm48caj9ZjRpzGBPnq/n4hIUbFZALzCZDLRtm1bPvvsM3766SeqVKnCl19+aesyRMTOLBaDD1cfpNenGzmdmkXV0v4sef4++jbX+/1ERIqazS4CueLkyZPExcURFxfHrl27aNmyJbGxsbYuQ0Ts6HxGNsO/2c6a/WcB6N6oHP99tD4B3jb/lSQi4pJs9tv2k08+IS4ujl9//ZVatWrRt29fvv32WypVqmSrEkSkGNh4+Dwvzt1Gclo2Pp5uTOhWjyfuqaCzfiIiNmSzAPjf//6XPn36MG3aNBo2bGirw4pIMZFnMYhddZAPftqPxYDqoQHERjWhZnigvUsTEXE5NguAx48f1//wRVzUmfQshs1L5NeD5wF44u4KjH+kLn5emvIVEbEHm10EYjKZWLduHf369aNly5b8+eefAHz99desX7/eVmWIiI39evAcD01dz68Hz+Pr6c6Ung2Z/ERDhT8RETuyWQBcuHAhHTt2xNfXl23btlnv/5eamsqbb75pqzJExEbyLAZT4vfT7/NNnMvIplZ4IN8NbcVjTSrYuzQREZdnswD43//+l48//pjPPvsMT8//u7/XfffdR0JCgq3KEBEbSE7LIuqzjUz7+QCGAX2aRbAk+j6qhwbYuzQREcGG7wHct28fDzzwwFXrg4ODSUlJsVUZIlLE1uw/y7B5iVy4lIO/lztvPlafRxqVt3dZIiLyNzYLgOHh4Rw8eJDKlSvnW79+/XqqVq1qqzJEpIjk5ll4L34/H60+BECdskHE9m1CldL+dq5MRET+yWZTwIMHD+bFF19k06ZNmEwmTp06xezZsxkxYgRDhgy5pbHWrl1L165dKVeuHCaTiSVLluTbbjKZCvyaPHmydZ/KlStftX3SpEmF0aqIyzmVcpnen260hr8nW1Ri0fP3KvyJiBRTNjsD+Morr2CxWGjXrh2ZmZk88MADeHt7M2LECIYOHXpLY126dImGDRvy9NNP89hjj121/fTp0/mWf/jhBwYNGkSPHj3yrZ8wYQKDBw+2LgcG6n5kIrdq1b6zvLxoFymZZgK9PXj78QY8VL+svcsSEZHrsFkANJlM/Oc//2HkyJEcPHiQjIwM6tSpQ0BAAJcvX8bX1/emx+rcuTOdO3e+5vbw8PB8y99++y1t27a9aqo5MDDwqn1F5OaY8ywsOerGqg3bAGhQIZgZfZpQsZSfnSsTEZEbsfmNuLy8vKhTpw4A2dnZTJkyhXfeeYekpKQiOV5ycjLff/89X3755VXbJk2axMSJE6lYsSJRUVEMGzYMD49rf0uys7Ott68BSEtLA8BsNmM2mwu17ivjFfa4xYX6c2wnL17mxXnb2XH6r3eR9G9ZkZGRNfD2cHOanp39OXT2/sD5e1R/dz62KzMZhmEU5QGys7MZN24c8fHxeHl58fLLL9O9e3dmzpzJf/7zH9zd3YmJiWHUqFG3Nb7JZGLx4sV07969wO3vvPMOkyZN4tSpU/j4+FjXT5kyhSZNmhASEsJvv/3G6NGjGThwIFOmTLnmscaNG8f48eOvWh8XF4efn856iGvYccFE3EE3LueZ8HU3iKpuoUFIkf4aEREpVJmZmURFRZGamkpQUJC9y7GLIg+Ao0aN4pNPPqF9+/b89ttvnD17loEDB7Jx40ZeffVVnnjiCdzd3W97/BsFwFq1atGhQwemT59+3XG++OIL/vWvf5GRkYG3t3eB+xR0BjAiIoJz584V+g+Q2WwmPj6eDh065LtvorNQf44nO9fCOyv389XG4wA0LB9E97AL9HrYeXr8O2d8Dv/O2fsD5+9R/d2+tLQ0Spcu7dIBsMingOfPn89XX31Ft27d2LVrFw0aNCA3N5ft27cX+WcDr1u3jn379jFv3rwb7tu8eXNyc3M5evQoNWvWLHAfb2/vAsOhp6dnkb34inLs4kD9OYZj5y8RE7eNnX+mAvDsA1X594NViV+5wml6vBb15/icvUf1d3tjuroiD4AnT57k7rvvBqBevXp4e3szbNiwIg9/AJ9//jl33303DRs2vOG+iYmJuLm5ERoaWuR1iTiS73ec5pWFO0jPzqWknyfv9WzIg7XC9B4aEREHVuQBMC8vDy8vr/87oIcHAQF39nFQGRkZHDx40Lp85MgREhMTCQkJoWLFisBfp3fnz5/Pe++9d9XjN2zYwKZNm2jbti2BgYFs2LCBYcOG0a9fP0qWLHlHtYk4iyxzHv/9fg//+/+nfO+pVJLpUY0pG3zzV+yLiEjxVOQB0DAMBgwYYJ06zcrK4rnnnsPfP/8NYhctWnTTY27ZsoW2bdtal4cPHw5A//79mTVrFgBz587FMAz69Olz1eO9vb2ZO3cu48aNIzs7mypVqjBs2DDrOCKu7si5S0TPTmDP6b+udH++TTWGd6iBh7vN7h0vIiJFqMgDYP/+/fMt9+vX747HbNOmDTe6duXZZ5/l2WefLXBbkyZN2Lhx4x3XIeKMvk38k1cX7eRSTh6l/L2Y0qsRrWuUsXdZIiJSiIo8AM6cObOoDyEihSDLnMe4pbuZu/kEAC2qhjC1d2PCgnxu8EgREXE0Nr8RtIgUPwfPpBM9exv7ktMxmWDog3fxYru7cHcr+ou1RETE9hQARVzcgq0neX3JLi6b8ygd4M3U3o24r3ppe5clIiJFSAFQxEVl5uTy+pLdLEw4CcB91Uvxfq9GhAZqyldExNkpAIq4oH1J6UTHJXDwTAZuJhjWvgbPt62uKV8RERehACjiQgzD4JstJxjz7W6ycy2EBXkztXdjWlQtZe/SRETEhhQARVxERnYury3eyZLEUwC0rlGGKT0bUiqg4M++FhER56UAKOIC9pxKIyYugcPnLuHuZmJEZE3+9UBV3DTlKyLikhQARZyYYRjM3nScCcv2kJNroWywD9P7NOaeyiH2Lk1EROxIAVDESaVlmRm9aCff7zgNQLtaobz7RENK+nvd4JEiIuLsFABFnNDOk6nEzEng2PlMPNxMvNK5FoNaVcFk0pSviIgoAIo4FcMw+PK3o7y5/A9y8iyUL+HLjKjGNK5Y0t6liYhIMaIAKOIkUjPNvLxwOyt3JwMQWSeMyY83JNjP086ViYhIcaMAKOIEth2/yNA52zh58TJe7m68+lAt+t9bWVO+IiJSIAVAEQdmGAafrz/CpB/+INdiUDHEj9ioJtSvEGzv0kREpBhTABRxUBcv5TBi/nZ+/uMMAF3ql+WtHvUJ8tGUr4iIXJ8CoIgD2nrsAkPjtnEqNQsvDzfGPFyHvs0raspXRERuigKgiAOxWAw+WXuYd3/cR57FoEppf2ZENaZuOU35iojIzVMAFHEQ5zOyGf7NdtbsPwvAI43K8caj9Qnw1stYRERujf5yiDiATYfP88LcbSSnZePt4caER+rS854ITfmKiMhtUQAUKcbyLAYfrjrI+z/tx2JA9dAAYqOaUDM80N6liYiIA1MAFCmmzqZn8+952/j14HkAejSpwMTudfHz0stWRETujP6SiBRDvx48x4tzEzmXkY2vpzsTu9fj8bsr2LssERFxEgqAIsVInsVg6s8HmP7LAQwDaoYFEtu3MdVDNeUrIiKFRwFQpJhITsvixbnb2Hj4AgC9m0YwtmtdfL3c7VyZiIg4GwVAkWJgzf6zDJ+XyPlLOfh7ufPmY/V5pFF5e5clIiJOSgFQxI5y8yxMid/Ph6sPAVC7bBCxUY2pWibAzpWJiIgzUwAUsZNTKZd5Yc42thy7CMCTLSrxny618fHUlK+IiBQtBUARO/jlj2SGf7OdlEwzgd4eTOrRgC4Nytq7LBERcREKgCI2ZM6zMHnlPj5dexiA+uWDmRHVmEql/O1cmYiIuBIFQBEbOXkxk5i4bSSeSAFgwL2VGf1QLbw9NOUrIiK25WbvAm7H2rVr6dq1K+XKlcNkMrFkyZJ82wcMGIDJZMr31alTp3z7XLhwgb59+xIUFESJEiUYNGgQGRkZNuxCXMnK3Uk8NHUdiSdSCPLx4JMn72Zct7oKfyIiYhcOeQbw0qVLNGzYkKeffprHHnuswH06derEzJkzrcve3t75tvft25fTp08THx+P2Wxm4MCBPPvss8TFxRVp7eJacnItvLliNzN/PQpAo4gSTO/TmIgQP/sWJiIiLs0hA2Dnzp3p3Lnzdffx9vYmPDy8wG179+5lxYoVbN68mXvuuQeA6dOn89BDD/Huu+9Srly5Qq9ZXM+5LOj9/35n559pAAy+vwojO9bCy8MhT7yLiIgTccgAeDNWr15NaGgoJUuW5MEHH+S///0vpUqVAmDDhg2UKFHCGv4A2rdvj5ubG5s2beLRRx8tcMzs7Gyys7Oty2lpf/1hN5vNmM3mQq3/yniFPW5x4ez9Ldv+J5N3uJOVl0YJX0/e7lGPB2uWASMPsznP3uUVCmd/DtWf43P2HtXfnY/tykyGYRj2LuJOmEwmFi9eTPfu3a3r5s6di5+fH1WqVOHQoUO8+uqrBAQEsGHDBtzd3XnzzTf58ssv2bdvX76xQkNDGT9+PEOGDCnwWOPGjWP8+PFXrY+Li8PPT1N6AmYLLDnqxvrkv87yVQk06H9XHiW9b/BAERGxmczMTKKiokhNTSUoKMje5diFU54B7N27t/Xf9evXp0GDBlSrVo3Vq1fTrl272x539OjRDB8+3LqclpZGREQEkZGRhf4DZDabiY+Pp0OHDnh6ehbq2MWBM/Z39PwlXpi7g73J6QC0L2fhvYFt8fNxzvTnjM/h36k/x+fsPaq/23dlBs+VOWUA/KeqVatSunRpDh48SLt27QgPD+fMmTP59snNzeXChQvXfN8g/PW+wn9eTALg6elZZC++ohy7OHCW/r5N/JNXF+3kUk4eIf5evNujHukHfsfPx9sp+rseZ3kOr0X9OT5n71H93d6Yrs4l3o1+8uRJzp8/T9myf33SQsuWLUlJSWHr1q3WfX755RcsFgvNmze3V5nigLLMeYxetIMX5yZyKSeP5lVC+OHF+7n/rtL2Lk1EROSaHPIMYEZGBgcPHrQuHzlyhMTEREJCQggJCWH8+PH06NGD8PBwDh06xMsvv0z16tXp2LEjALVr16ZTp04MHjyYjz/+GLPZTExMDL1799YVwHLTDp7JIHp2AvuS0zGZYGjb6rzQ7i483N30BmMRESnWHDIAbtmyhbZt21qXr7wvr3///nz00Ufs2LGDL7/8kpSUFMqVK0dkZCQTJ07MN307e/ZsYmJiaNeuHW5ubvTo0YNp06bZvBdxTAu3nuS1Jbu4bM6jdIA3H/RqRCud9RMREQfhkAGwTZs2XO/i5ZUrV95wjJCQEN30WW5ZZk4uY77dzYKtJwG4r3op3u/ViNBAHztXJiIicvMcMgCK2MP+5HSiZydw4EwGbib4d/saRLetjrubyd6liYiI3BIFQJEbMAyDb7acYOzS3WSZLYQGejOtT2NaVC1l79JERERuiwKgyHVkZOfy2uKdLEk8BcADNcowpWdDSgc45739RETENSgAilzDnlNpxMQlcPjcJdzdTLwUWYPnHqiGm6Z8RUTEwSkAivyDYRjM3nScCcv2kJNroWywD9P6NKZp5RB7lyYiIlIoFABF/iY9y8wri3by/Y7TADxYK5T3nmhISX8vO1cmIiJSeBQARf5/O0+mEjMngWPnM/FwMzGqUy0GtaqiKV8REXE6CoDi8gzD4MvfjvLm8j/IybNQvoQv06Ma06RiSXuXJiIiUiQUAMWlpV42M2rBDlbsTgIgsk4Ykx9vSLCfPihcRESclwKguKzEEynExCVw8uJlPN1NvPpQbQbcWxmTSVO+IiLi3BQAxeUYhsHn648w6Yc/yLUYVAzxY0ZUYxpUKGHv0kRERGxCAVBcSkpmDiPmb+envWcAeKh+OJN6NCDIR1O+IiLiOhQAxWVsPXaBoXHbOJWahZeHG68/XId+zStqyldERFyOAqA4PYvF4JO1h3n3x33kWQyqlPZnRlRj6pYLtndpIiIidqEAKE7tfEY2L83fzup9ZwHo1rAcbz5WnwBv/eiLiIjr0l9BcVqbDp/nhbnbSE7LxtvDjfHd6tKraYSmfEVExOUpAIrTybMYfLjqIO//tB+LAdXK+BPbtwm1woPsXZqIiEixoAAoTuVsejbD5iWy/uA5AB5rUp6Jj9TDX1O+IiIiVvqrKE7jt4PneHFeImfTs/H1dGfCI3V54p4Ie5clIiJS7CgAisPLsxhM/fkA0385gGFAjbAAYqOacFdYoL1LExERKZYUAMWhJadl8eLcbWw8fAGA3k0jGNu1Lr5e7nauTEREpPhSABSHtXb/WYbNS+T8pRz8vdx587H6PNKovL3LEhERKfYUAMXh5OZZmBK/nw9XHwKgdtkgYqMaU7VMgJ0rExERcQwKgOJQTqde5oU529h89CIAfZtX5PWH6+DjqSlfERGRm6UAKA5j1R9nGP5NIhczzQR4ezCpR30eblDO3mWJiIg4HAVAKfbMeRbeXbmPT9YeBqBe+SBio5pQqZS/nSsTERFxTAqAUqydvJjJ0Dnb2HY8BYAB91Zm9EO18PbQlK+IiMjtUgCUYuvH3UmMXLCD1MtmAn08mPx4AzrVK2vvskRERByeAqAUOzm5Ft76YS8zfz0KQMOIEszo05iIED/7FiYiIuIkFAClWDl+PpOYOQnsOJkKwDOtqvByp1p4ebjZuTIRERHnoQAoxcbynacZtWAH6dm5BPt68t4TDWlfJ8zeZYmIiDgdhzytsnbtWrp27Uq5cuUwmUwsWbLEus1sNjNq1Cjq16+Pv78/5cqV46mnnuLUqVP5xqhcuTImkynf16RJk2zciQBkmfN4fckunp+dQHp2LndXKsnyF+9X+BMRESkiDhkAL126RMOGDYmNjb1qW2ZmJgkJCbz++uskJCSwaNEi9u3bR7du3a7ad8KECZw+fdr6NXToUFuUL39z9Pwlenz0G19vPAbAc62rMffZFpQv4WvnykRERJyXQ04Bd+7cmc6dOxe4LTg4mPj4+HzrZsyYQbNmzTh+/DgVK1a0rg8MDCQ8PLxIa5VrSzhn4tUPN3IpJ48Qfy+m9GxIm5qh9i5LRETE6TlkALxVqampmEwmSpQokW/9pEmTmDhxIhUrViQqKophw4bh4XHtb0l2djbZ2dnW5bS0NOCvaWez2VyoNV8Zr7DHLQ6yzHlMWLaX+QfcgTyaVi7JlCfqEx7k4zT9OvPzd4Wz96j+HJ+z96j+7nxsV2YyDMOwdxF3wmQysXjxYrp3717g9qysLO677z5q1arF7NmzreunTJlCkyZNCAkJ4bfffmP06NEMHDiQKVOmXPNY48aNY/z48Vetj4uLw89Ptyi5GcmXYeZ+d05nmjBh0KG8QacIC+4me1cmIiKuIjMzk6ioKFJTUwkKCrJ3OXbh1AHQbDbTo0cPTp48yerVq6/7JH/xxRf861//IiMjA29v7wL3KegMYEREBOfOnSv0HyCz2Ux8fDwdOnTA09OzUMe2lyWJpxj73V4yc/Io5e9Jr4pZxDzR3mn6+ztnfP7+ydl7VH+Oz9l7VH+3Ly0tjdKlS7t0AHTaKWCz2UzPnj05duwYv/zyyw2f4ObNm5Obm8vRo0epWbNmgft4e3sXGA49PT2L7MVXlGPbSmZOLmO/3c38rScBuLdaKSb3qMeWdT87RX/X4+z9gfP3qP4cn7P3qP5ub0xX55QB8Er4O3DgAKtWraJUqVI3fExiYiJubm6EhuoihMK0Pzmd6NkJHDiTgZsJXmxXg5gHq2PJy7V3aSIiIi7LIQNgRkYGBw8etC4fOXKExMREQkJCKFu2LI8//jgJCQksW7aMvLw8kpKSAAgJCcHLy4sNGzawadMm2rZtS2BgIBs2bGDYsGH069ePkiVL2qstp2IYBvO3nGTM0l1kmS2EBnoztXdjWlb7K4xb8uxcoIiIiAtzyAC4ZcsW2rZta10ePnw4AP3792fcuHEsXboUgEaNGuV73KpVq2jTpg3e3t7MnTuXcePGkZ2dTZUqVRg2bJh1HLkzl7Jz+c/inSxJ/Ovm2/ffVZr3ezWidEDB760UERER23LIANimTRuud+3Kja5radKkCRs3bizssgTYcyqNmLgEDp+7hLubieEdajCkdTXc3HSZr4iISHHhkAFQih/DMIj7/Tjjv9tDTq6F8CAfpkc1pmnlEHuXJiIiIv+gACh3LD3LzOhFO1m24zQAbWuW4b2ejQjx97JzZSIiIlIQBUC5I7v+TCU6LoFj5zPxcDPxcqeaPNOqqqZ8RUREijEFQLkthmHw1YZjvPH9XnLyLJQv4cu0Po25u5KuohYRESnuFADllqVeNjNqwQ5W7P7r9jod6oQx+fEGlPDTlK+IiIgjUACUW5J4IoWYuAROXryMp7uJ0Z1rM/C+yphMmvIVERFxFAqAclMMw+Dz9Ud4e8UfmPMMIkJ8mdGnCQ0jSti7NBEREblFCoByQymZOYyYv52f9p4BoHO9cCb1aECwrz5LUURExBEpAMp1bT12gaFx2ziVmoWXuxuvP1ybfi0qacpXRETEgSkASoEsFoNP1x1m8sp95FkMKpfyY0ZUE+qVD7Z3aSIiInKHFADlKuczsnlp/nZW7zsLQNeG5Xjz0XoE+mjKV0RExBkoAEo+vx+5wNA5CSSnZePt4ca4bnXp3TRCU74iIiJORAFQgL+mfD9cfZAp8fuxGFC1jD+xUU2oXTbI3qWJiIhIIVMAFM6mZzP8m0TWHTgHwGONyzOxez38vfX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Expert at analyzing various file types.\nYour personal goal - is: Analyze and describe files accurately\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"}' + is: Analyze and describe files accurately"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,7 +16,7 @@ interactions: connection: - keep-alive content-length: - - '37774' + - '37373' content-type: - application/json host: @@ -44,45 +38,39 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/responses response: body: - string: "{\n \"id\": \"resp_0e34e765fe9ef4ac006973c6fd66108196956d5d0822f7b918\",\n - \ \"object\": \"response\",\n \"created_at\": 1769195261,\n \"status\": + string: "{\n \"id\": \"resp_0a64109d8e2fc97b00698e2a7246a88193b7c90b54dacc69dd\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924658,\n \"status\": \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": - \"developer\"\n },\n \"completed_at\": 1769195265,\n \"error\": null,\n + \"developer\"\n },\n \"completed_at\": 1770924660,\n \"error\": null,\n \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": \"You are File Analyst. Expert at analyzing various file types.\\nYour personal - goal is: Analyze and describe files accurately\\nTo give my best complete - final answer to the task respond using the exact following format:\\n\\nThought: - I now can give a great answer\\nFinal Answer: Your final answer must be the - great and the most complete as possible, it must be outcome described.\\n\\nI - MUST use these formats, my job depends on it!\",\n \"max_output_tokens\": + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": null,\n \"max_tool_calls\": null,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n - \ \"output\": [\n {\n \"id\": \"msg_0e34e765fe9ef4ac006973c6fe75808196807f4bf04226a0ea\",\n + \ \"output\": [\n {\n \"id\": \"msg_0a64109d8e2fc97b00698e2a7342c881939fdc506144cc28e6\",\n \ \"type\": \"message\",\n \"status\": \"completed\",\n \"content\": [\n {\n \"type\": \"output_text\",\n \"annotations\": - [],\n \"logprobs\": [],\n \"text\": \"Thought: I now can - give a great answer \\nFinal Answer: The image depicts a line chart titled - \\\"Revenue Over Time,\\\" illustrating the growth of revenue in millions - of dollars from the year 2020 to 2024. 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The y-axis represents revenue in millions of dollars, ranging from + 100 to 300. The x-axis indicates the years from 2020 to 2024. The line shows + a steady increase in revenue, indicating consistent growth over the specified + period.\"\n }\n ],\n \"role\": \"assistant\"\n }\n ],\n + \ \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n \"previous_response_id\": + null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": null,\n + \ \"reasoning\": {\n \"effort\": null,\n \"summary\": null\n },\n \"safety_identifier\": + null,\n \"service_tier\": \"default\",\n \"store\": true,\n \"temperature\": + 1.0,\n \"text\": {\n \"format\": {\n \"type\": \"text\"\n },\n + \ \"verbosity\": \"medium\"\n },\n \"tool_choice\": \"auto\",\n \"tools\": + [],\n \"top_logprobs\": 0,\n \"top_p\": 1.0,\n \"truncation\": \"disabled\",\n + \ \"usage\": {\n \"input_tokens\": 14214,\n \"input_tokens_details\": + {\n \"cached_tokens\": 0\n },\n \"output_tokens\": 75,\n \"output_tokens_details\": + {\n \"reasoning_tokens\": 0\n },\n \"total_tokens\": 14289\n },\n + \ \"user\": null,\n \"metadata\": {}\n}" headers: CF-RAY: 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+ are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '37373' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/responses + response: + body: + string: "{\n \"id\": \"resp_0f2df6179286a80400698e2a74b5048192980513881a6944a0\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924660,\n \"status\": + \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": + \"developer\"\n },\n \"completed_at\": 1770924665,\n \"error\": null,\n + \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": + \"You are File Analyst. Expert at analyzing various file types.\\nYour personal + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": + null,\n \"max_tool_calls\": null,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"output\": [\n {\n \"id\": \"msg_0f2df6179286a80400698e2a7757dc8192b0dfe49ad4aed578\",\n + \ \"type\": \"message\",\n \"status\": \"completed\",\n \"content\": + [\n {\n \"type\": \"output_text\",\n \"annotations\": + [],\n \"logprobs\": [],\n \"text\": \"The image displays + a line chart titled \\\"Revenue Over Time.\\\" The x-axis represents the years + from 2020 to 2024, while the y-axis shows revenue in millions of dollars, + ranging from 100 to 300. The graph illustrates a steady upward trend in revenue, + indicating consistent growth over the specified period.\"\n }\n ],\n + \ \"role\": \"assistant\"\n }\n ],\n \"parallel_tool_calls\": true,\n + \ \"presence_penalty\": 0.0,\n \"previous_response_id\": null,\n \"prompt_cache_key\": + null,\n \"prompt_cache_retention\": null,\n \"reasoning\": {\n \"effort\": + null,\n \"summary\": null\n },\n \"safety_identifier\": null,\n \"service_tier\": + \"default\",\n \"store\": true,\n \"temperature\": 1.0,\n \"text\": {\n + \ \"format\": {\n \"type\": \"text\"\n },\n \"verbosity\": \"medium\"\n + \ },\n \"tool_choice\": \"auto\",\n \"tools\": [],\n \"top_logprobs\": + 0,\n \"top_p\": 1.0,\n \"truncation\": \"disabled\",\n \"usage\": {\n \"input_tokens\": + 14214,\n \"input_tokens_details\": {\n \"cached_tokens\": 0\n },\n + \ \"output_tokens\": 65,\n \"output_tokens_details\": {\n \"reasoning_tokens\": + 0\n },\n \"total_tokens\": 14279\n },\n \"user\": null,\n \"metadata\": + {}\n}" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:31:05 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '5149' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-ratelimit-limit-requests: - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_image_file[openai-o4-mini-responses].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_image_file[openai-o4-mini-responses].yaml index 9adcca7be..936e975e7 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_image_file[openai-o4-mini-responses].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_image_file[openai-o4-mini-responses].yaml @@ -1,15 +1,9 @@ interactions: - request: body: '{"input":[{"role":"user","content":[{"type":"input_text","text":"\nCurrent - Task: Describe this image briefly.\n\nBegin! This is VERY important to you, - use the tools available and give your best Final Answer, your job depends on - it!\n\nThought:"},{"type":"input_image","image_url":"data:image/png;base64,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"}]}],"model":"o4-mini","instructions":"You + Task: Describe this image briefly.\n\nProvide your complete response:"},{"type":"input_image","image_url":"data:image/png;base64,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It shows - a straight, upward\\u2010sloping line rising from $100 M in 2020 to $300 M - in 2024, with gridlines and axes labeled \\u201cYear\\u201d and \\u201cRevenue - ($M).\\u201d\"\n }\n ],\n \"role\": \"assistant\"\n }\n - \ ],\n \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n \"previous_response_id\": - null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": null,\n - \ \"reasoning\": {\n \"effort\": \"medium\",\n \"summary\": null\n },\n - \ \"safety_identifier\": null,\n \"service_tier\": \"default\",\n \"store\": + [],\n \"text\": \"The image is a simple line chart titled \\u201cRevenue + Over Time,\\u201d showing annual revenue (in millions of dollars) on the y-axis + and years 2020\\u20132024 on the x-axis. The single blue line rises linearly + from $100 M in 2020 to $300 M in 2024, with gridlines marking each year and + revenue interval.\"\n }\n ],\n \"role\": \"assistant\"\n + \ }\n ],\n \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n + \ \"previous_response_id\": null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": + null,\n \"reasoning\": {\n \"effort\": \"medium\",\n \"summary\": null\n + \ },\n \"safety_identifier\": null,\n \"service_tier\": \"default\",\n \"store\": true,\n \"temperature\": 1.0,\n \"text\": {\n \"format\": {\n \"type\": \"text\"\n },\n \"verbosity\": \"medium\"\n },\n \"tool_choice\": \"auto\",\n \"tools\": [],\n \"top_logprobs\": 0,\n \"top_p\": 1.0,\n \"truncation\": - \"disabled\",\n \"usage\": {\n \"input_tokens\": 649,\n \"input_tokens_details\": - {\n \"cached_tokens\": 0\n },\n \"output_tokens\": 286,\n \"output_tokens_details\": - {\n \"reasoning_tokens\": 192\n },\n \"total_tokens\": 935\n },\n + \"disabled\",\n \"usage\": {\n 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+ are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '37369' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/responses + response: + body: + string: "{\n \"id\": \"resp_098a25c591d169df00698e2a81cd08819da91e97f63a56acb4\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924673,\n \"status\": + \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": + \"developer\"\n },\n \"completed_at\": 1770924676,\n \"error\": null,\n + \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": + \"You are File Analyst. Expert at analyzing various file types.\\nYour personal + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": + null,\n \"max_tool_calls\": null,\n \"model\": \"o4-mini-2025-04-16\",\n + \ \"output\": [\n {\n \"id\": \"rs_098a25c591d169df00698e2a82955c819d99d377167e3cf0b7\",\n + \ \"type\": \"reasoning\",\n \"summary\": []\n },\n {\n \"id\": + \"msg_098a25c591d169df00698e2a839028819dab23f32811f174f7\",\n \"type\": + \"message\",\n \"status\": \"completed\",\n \"content\": [\n {\n + \ \"type\": \"output_text\",\n \"annotations\": [],\n \"logprobs\": + [],\n \"text\": \"The image is a line chart titled \\u201cRevenue + Over Time.\\u201d It plots annual revenue (in millions of dollars) from 2020 + to 2024, showing a steady, linear increase from $100 M in 2020 to $300 M in + 2024. The x-axis is labeled \\u201cYear,\\u201d the y-axis \\u201cRevenue + ($M),\\u201d and the plot is overlaid on a light grid.\"\n }\n ],\n + \ \"role\": \"assistant\"\n }\n ],\n \"parallel_tool_calls\": true,\n + \ \"presence_penalty\": 0.0,\n \"previous_response_id\": null,\n \"prompt_cache_key\": + null,\n \"prompt_cache_retention\": null,\n \"reasoning\": {\n \"effort\": + \"medium\",\n \"summary\": null\n },\n \"safety_identifier\": null,\n + \ \"service_tier\": \"default\",\n \"store\": true,\n \"temperature\": 1.0,\n + \ \"text\": {\n \"format\": {\n \"type\": \"text\"\n },\n \"verbosity\": + \"medium\"\n },\n \"tool_choice\": \"auto\",\n \"tools\": [],\n \"top_logprobs\": + 0,\n \"top_p\": 1.0,\n \"truncation\": \"disabled\",\n \"usage\": {\n \"input_tokens\": + 563,\n \"input_tokens_details\": {\n \"cached_tokens\": 0\n },\n + \ \"output_tokens\": 189,\n \"output_tokens_details\": {\n \"reasoning_tokens\": + 64\n },\n \"total_tokens\": 752\n },\n \"user\": null,\n \"metadata\": + {}\n}" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:31:16 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '3091' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-ratelimit-limit-requests: - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_pdf_file[openai-gpt-4o-mini-responses].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_pdf_file[openai-gpt-4o-mini-responses].yaml index c3386c990..689f0fcf3 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_pdf_file[openai-gpt-4o-mini-responses].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_pdf_file[openai-gpt-4o-mini-responses].yaml @@ -1,15 +1,9 @@ interactions: - request: body: '{"input":[{"role":"user","content":[{"type":"input_text","text":"\nCurrent - Task: What type of document is this?\n\nBegin! This is VERY important to you, - use the tools available and give your best Final Answer, your job depends on - it!\n\nThought:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"gpt-4o-mini","instructions":"You + Task: What type of document is this?\n\nProvide your complete response:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"gpt-4o-mini","instructions":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal - is: Analyze and describe files accurately\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"}' + is: Analyze and describe files accurately"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,7 +16,7 @@ interactions: connection: - keep-alive content-length: - - '1243' + - '842' content-type: - application/json host: @@ -44,44 +38,36 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/responses response: body: - string: "{\n \"id\": \"resp_00f57987a2fb291d006973c701938081939b336e7a0cb669cf\",\n - \ \"object\": \"response\",\n \"created_at\": 1769195265,\n \"status\": + string: "{\n \"id\": \"resp_0524700d6a86aa2600698e2a7b511c8196869afcb28543046c\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924667,\n \"status\": \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": - \"developer\"\n },\n \"completed_at\": 1769195269,\n \"error\": null,\n + \"developer\"\n },\n \"completed_at\": 1770924668,\n \"error\": null,\n \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": \"You are File Analyst. Expert at analyzing various file types.\\nYour personal - goal is: Analyze and describe files accurately\\nTo give my best complete - final answer to the task respond using the exact following format:\\n\\nThought: - I now can give a great answer\\nFinal Answer: Your final answer must be the - great and the most complete as possible, it must be outcome described.\\n\\nI - MUST use these formats, my job depends on it!\",\n \"max_output_tokens\": + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": null,\n \"max_tool_calls\": null,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n - \ \"output\": [\n {\n \"id\": \"msg_00f57987a2fb291d006973c7029b34819381420e8260962019\",\n + \ \"output\": [\n {\n \"id\": \"msg_0524700d6a86aa2600698e2a7c10c48196a1c0042a9a870127\",\n \ \"type\": \"message\",\n \"status\": \"completed\",\n \"content\": [\n {\n \"type\": \"output_text\",\n \"annotations\": - [],\n \"logprobs\": [],\n \"text\": \"Thought: I now can - give a great answer. \\nFinal Answer: The document is an identifiable file - type based on its characteristics. If it contains structured content, it might - be a PDF, Word document, or Excel spreadsheet. If it's a text file, it could - be a .txt or .csv. If images are present, it may be a .jpg, .png, or .gif. - Additional metadata or content inspection can confirm its exact type. The - format and extension provide critical insights into its intended use and functionality - within various applications.\"\n }\n ],\n \"role\": \"assistant\"\n - \ }\n ],\n \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n - \ \"previous_response_id\": null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": - null,\n \"reasoning\": {\n \"effort\": null,\n \"summary\": null\n - \ },\n \"safety_identifier\": null,\n \"service_tier\": \"default\",\n \"store\": - true,\n \"temperature\": 1.0,\n \"text\": {\n \"format\": {\n \"type\": - \"text\"\n },\n \"verbosity\": \"medium\"\n },\n \"tool_choice\": - \"auto\",\n \"tools\": [],\n \"top_logprobs\": 0,\n \"top_p\": 1.0,\n \"truncation\": - \"disabled\",\n \"usage\": {\n \"input_tokens\": 139,\n \"input_tokens_details\": - {\n \"cached_tokens\": 0\n },\n \"output_tokens\": 109,\n \"output_tokens_details\": - {\n \"reasoning_tokens\": 0\n },\n \"total_tokens\": 248\n },\n + [],\n \"logprobs\": [],\n \"text\": \"It appears there was + no document provided for analysis. Please upload the document you'd like me + to examine, and I'll be happy to help identify its type and provide a detailed + description.\"\n }\n ],\n \"role\": \"assistant\"\n }\n + \ ],\n \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n \"previous_response_id\": + null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": null,\n + \ \"reasoning\": {\n \"effort\": null,\n \"summary\": null\n },\n \"safety_identifier\": + null,\n \"service_tier\": \"default\",\n \"store\": true,\n \"temperature\": + 1.0,\n \"text\": {\n \"format\": {\n \"type\": \"text\"\n },\n + \ \"verbosity\": \"medium\"\n },\n \"tool_choice\": \"auto\",\n \"tools\": + [],\n \"top_logprobs\": 0,\n \"top_p\": 1.0,\n \"truncation\": \"disabled\",\n + \ \"usage\": {\n \"input_tokens\": 53,\n \"input_tokens_details\": {\n + \ \"cached_tokens\": 0\n },\n \"output_tokens\": 36,\n \"output_tokens_details\": + {\n \"reasoning_tokens\": 0\n },\n \"total_tokens\": 89\n },\n \ \"user\": null,\n \"metadata\": {}\n}" headers: CF-RAY: @@ -91,7 +77,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 23 Jan 2026 19:07:49 GMT + - Thu, 12 Feb 2026 19:31:08 GMT Server: - cloudflare Set-Cookie: @@ -109,13 +95,128 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '3854' + - '1439' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"input":[{"role":"user","content":[{"type":"input_text","text":"\nCurrent + Task: What type of document is this?\n\nProvide your complete response:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"gpt-4o-mini","instructions":"You + are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '842' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/responses + response: + body: + string: "{\n \"id\": \"resp_061c22eec2c866c500698e2a7cd9348193929f5dfa4eba1ff6\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924668,\n \"status\": + \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": + \"developer\"\n },\n \"completed_at\": 1770924669,\n \"error\": null,\n + \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": + \"You are File Analyst. Expert at analyzing various file types.\\nYour personal + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": + null,\n \"max_tool_calls\": null,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"output\": [\n {\n \"id\": \"msg_061c22eec2c866c500698e2a7d2b18819389b67df0fc6ffaf6\",\n + \ \"type\": \"message\",\n \"status\": \"completed\",\n \"content\": + [\n {\n \"type\": \"output_text\",\n \"annotations\": + [],\n \"logprobs\": [],\n \"text\": \"To assist you accurately, + please upload the document you would like me to analyze.\"\n }\n ],\n + \ \"role\": \"assistant\"\n }\n ],\n \"parallel_tool_calls\": true,\n + \ \"presence_penalty\": 0.0,\n \"previous_response_id\": null,\n \"prompt_cache_key\": + null,\n \"prompt_cache_retention\": null,\n \"reasoning\": {\n \"effort\": + null,\n \"summary\": null\n },\n \"safety_identifier\": null,\n \"service_tier\": + \"default\",\n \"store\": true,\n \"temperature\": 1.0,\n \"text\": {\n + \ \"format\": {\n \"type\": \"text\"\n },\n \"verbosity\": \"medium\"\n + \ },\n \"tool_choice\": \"auto\",\n \"tools\": [],\n \"top_logprobs\": + 0,\n \"top_p\": 1.0,\n \"truncation\": \"disabled\",\n \"usage\": {\n \"input_tokens\": + 53,\n \"input_tokens_details\": {\n \"cached_tokens\": 0\n },\n + \ \"output_tokens\": 17,\n \"output_tokens_details\": {\n \"reasoning_tokens\": + 0\n },\n \"total_tokens\": 70\n },\n \"user\": null,\n \"metadata\": + {}\n}" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:31:09 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '836' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '3857' x-ratelimit-limit-requests: - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: diff --git a/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_pdf_file[openai-o4-mini-responses].yaml b/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_pdf_file[openai-o4-mini-responses].yaml index df5a7e0c0..d0b23175f 100644 --- a/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_pdf_file[openai-o4-mini-responses].yaml +++ b/lib/crewai/tests/cassettes/TestAgentMultimodalOpenAIResponses.test_pdf_file[openai-o4-mini-responses].yaml @@ -1,15 +1,9 @@ interactions: - request: body: '{"input":[{"role":"user","content":[{"type":"input_text","text":"\nCurrent - Task: What type of document is this?\n\nBegin! This is VERY important to you, - use the tools available and give your best Final Answer, your job depends on - it!\n\nThought:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"o4-mini","instructions":"You + Task: What type of document is this?\n\nProvide your complete response:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"o4-mini","instructions":"You are File Analyst. Expert at analyzing various file types.\nYour personal goal - is: Analyze and describe files accurately\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"}' + is: Analyze and describe files accurately"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -22,7 +16,7 @@ interactions: connection: - keep-alive content-length: - - '1239' + - '838' content-type: - application/json host: @@ -44,41 +38,36 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/responses response: body: - string: "{\n \"id\": \"resp_02b841f189494a24006973c705c84c81938ac9360927749cd2\",\n - \ \"object\": \"response\",\n \"created_at\": 1769195269,\n \"status\": + string: "{\n \"id\": \"resp_064e248119b2b15200698e2a850d908190ab1c6ba7b548c6c2\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924677,\n \"status\": \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": - \"developer\"\n },\n \"completed_at\": 1769195274,\n \"error\": null,\n + \"developer\"\n },\n \"completed_at\": 1770924678,\n \"error\": null,\n \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": \"You are File Analyst. Expert at analyzing various file types.\\nYour personal - goal is: Analyze and describe files accurately\\nTo give my best complete - final answer to the task respond using the exact following format:\\n\\nThought: - I now can give a great answer\\nFinal Answer: Your final answer must be the - great and the most complete as possible, it must be outcome described.\\n\\nI - MUST use these formats, my job depends on it!\",\n \"max_output_tokens\": + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": null,\n \"max_tool_calls\": null,\n \"model\": \"o4-mini-2025-04-16\",\n - \ \"output\": [\n {\n \"id\": \"rs_02b841f189494a24006973c70641dc81938955c83f790392bd\",\n + \ \"output\": [\n {\n \"id\": \"rs_064e248119b2b15200698e2a85b12081909cd1fbbe97495d44\",\n \ \"type\": \"reasoning\",\n \"summary\": []\n },\n {\n \"id\": - \"msg_02b841f189494a24006973c709f6d081938e358e108f27434e\",\n \"type\": + \"msg_064e248119b2b15200698e2a8648488190a03c7b0dc1e83d9d\",\n \"type\": \"message\",\n \"status\": \"completed\",\n \"content\": [\n {\n \ \"type\": \"output_text\",\n \"annotations\": [],\n \"logprobs\": - [],\n \"text\": \"I\\u2019m sorry, but I don\\u2019t see a document - to analyze. Please provide the file or its content so I can determine its - type.\"\n }\n ],\n \"role\": \"assistant\"\n }\n ],\n - \ \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n \"previous_response_id\": - null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": null,\n - \ \"reasoning\": {\n \"effort\": \"medium\",\n \"summary\": null\n },\n - \ \"safety_identifier\": null,\n \"service_tier\": \"default\",\n \"store\": + [],\n \"text\": \"Could you please upload or provide the document + you\\u2019d like me to analyze?\"\n }\n ],\n \"role\": \"assistant\"\n + \ }\n ],\n \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n + \ \"previous_response_id\": null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": + null,\n \"reasoning\": {\n \"effort\": \"medium\",\n \"summary\": null\n + \ },\n \"safety_identifier\": null,\n \"service_tier\": \"default\",\n \"store\": true,\n \"temperature\": 1.0,\n \"text\": {\n \"format\": {\n \"type\": \"text\"\n },\n \"verbosity\": \"medium\"\n },\n \"tool_choice\": \"auto\",\n \"tools\": [],\n \"top_logprobs\": 0,\n \"top_p\": 1.0,\n \"truncation\": - \"disabled\",\n \"usage\": {\n \"input_tokens\": 138,\n \"input_tokens_details\": - {\n \"cached_tokens\": 0\n },\n \"output_tokens\": 418,\n \"output_tokens_details\": - {\n \"reasoning_tokens\": 384\n },\n \"total_tokens\": 556\n },\n + \"disabled\",\n \"usage\": {\n \"input_tokens\": 52,\n \"input_tokens_details\": + {\n \"cached_tokens\": 0\n },\n \"output_tokens\": 81,\n \"output_tokens_details\": + {\n \"reasoning_tokens\": 0\n },\n \"total_tokens\": 133\n },\n \ \"user\": null,\n \"metadata\": {}\n}" headers: CF-RAY: @@ -88,11 +77,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 23 Jan 2026 19:07:54 GMT + - Thu, 12 Feb 2026 19:31:18 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -106,13 +93,134 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '4864' + - '1769' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '4867' + set-cookie: + - SET-COOKIE-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"input":[{"role":"user","content":[{"type":"input_text","text":"\nCurrent + Task: What type of document is this?\n\nProvide your complete response:"},{"type":"input_file","filename":"document.pdf","file_data":"data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iaiA8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4gZW5kb2JqCjIgMCBvYmogPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4gZW5kb2JqCjMgMCBvYmogPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSA+PiBlbmRvYmoKeHJlZgowIDQKMDAwMDAwMDAwMCA2NTUzNSBmCjAwMDAwMDAwMDkgMDAwMDAgbgowMDAwMDAwMDU4IDAwMDAwIG4KMDAwMDAwMDExNSAwMDAwMCBuCnRyYWlsZXIgPDwgL1NpemUgNCAvUm9vdCAxIDAgUiA+PgpzdGFydHhyZWYKMTk2CiUlRU9GCg=="}]}],"model":"o4-mini","instructions":"You + are File Analyst. Expert at analyzing various file types.\nYour personal goal + is: Analyze and describe files accurately"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '838' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/responses + response: + body: + string: "{\n \"id\": \"resp_05091b7975cea42100698e2a86f30881908983fbd92fbd48a4\",\n + \ \"object\": \"response\",\n \"created_at\": 1770924679,\n \"status\": + \"completed\",\n \"background\": false,\n \"billing\": {\n \"payer\": + \"developer\"\n },\n \"completed_at\": 1770924683,\n \"error\": null,\n + \ \"frequency_penalty\": 0.0,\n \"incomplete_details\": null,\n \"instructions\": + \"You are File Analyst. Expert at analyzing various file types.\\nYour personal + goal is: Analyze and describe files accurately\",\n \"max_output_tokens\": + null,\n \"max_tool_calls\": null,\n \"model\": \"o4-mini-2025-04-16\",\n + \ \"output\": [\n {\n \"id\": \"rs_05091b7975cea42100698e2a87b52c8190b25a662c10b2753f\",\n + \ \"type\": \"reasoning\",\n \"summary\": []\n },\n {\n \"id\": + \"msg_05091b7975cea42100698e2a8b3eec8190b6f7c247a04ea9ce\",\n \"type\": + \"message\",\n \"status\": \"completed\",\n \"content\": [\n {\n + \ \"type\": \"output_text\",\n \"annotations\": [],\n \"logprobs\": + [],\n \"text\": \"I don\\u2019t see a document attached. Could you + please upload the file or share its contents so I can determine what type + of document it is?\"\n }\n ],\n \"role\": \"assistant\"\n + \ }\n ],\n \"parallel_tool_calls\": true,\n \"presence_penalty\": 0.0,\n + \ \"previous_response_id\": null,\n \"prompt_cache_key\": null,\n \"prompt_cache_retention\": + null,\n \"reasoning\": {\n \"effort\": \"medium\",\n \"summary\": null\n + \ },\n \"safety_identifier\": null,\n \"service_tier\": \"default\",\n \"store\": + true,\n \"temperature\": 1.0,\n \"text\": {\n \"format\": {\n \"type\": + \"text\"\n },\n \"verbosity\": \"medium\"\n },\n \"tool_choice\": + \"auto\",\n \"tools\": [],\n \"top_logprobs\": 0,\n \"top_p\": 1.0,\n \"truncation\": + \"disabled\",\n \"usage\": {\n \"input_tokens\": 52,\n \"input_tokens_details\": + {\n \"cached_tokens\": 0\n },\n \"output_tokens\": 254,\n \"output_tokens_details\": + {\n \"reasoning_tokens\": 192\n },\n \"total_tokens\": 306\n },\n + \ \"user\": null,\n \"metadata\": {}\n}" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:31:24 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '5181' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-ratelimit-limit-requests: - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: diff --git a/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoff.test_agent_kickoff_with_failed_a2a_endpoint.yaml b/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoff.test_agent_kickoff_with_failed_a2a_endpoint.yaml index 27b27b4c1..10e18e6ee 100644 --- a/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoff.test_agent_kickoff_with_failed_a2a_endpoint.yaml +++ b/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoff.test_agent_kickoff_with_failed_a2a_endpoint.yaml @@ -37,13 +37,13 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D3qP75TkGfZcx59AyFhCifB7NeNve\",\n \"object\": - \"chat.completion\",\n \"created\": 1769808797,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-D8WiGEDTbwLcrRjnvxgSpt9XISVwN\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924744,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"The sum of 2 + 2 is 4.\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n @@ -52,7 +52,7 @@ interactions: {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_e01c6f58e1\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -61,11 +61,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 21:33:18 GMT + - Thu, 12 Feb 2026 19:32:25 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -81,11 +79,121 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '1149' + - '988' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Research Analyst. Expert + researcher\nYour personal goal is: Find information"},{"role":"user","content":"\nCurrent + Task: What is 2 + 2?\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '246' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8WiHquzE7A8dBalX3phbPaOSXEnQ\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924745,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"The sum of 2 + 2 is 4.\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 43,\n \"completion_tokens\": 12,\n \"total_tokens\": 55,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:32:26 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '415' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoff.test_agent_without_a2a_works_normally.yaml b/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoff.test_agent_without_a2a_works_normally.yaml index ce86df05c..fb2b10c7c 100644 --- a/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoff.test_agent_without_a2a_works_normally.yaml +++ b/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoff.test_agent_without_a2a_works_normally.yaml @@ -37,13 +37,13 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D3qQLXvb3qeE7H25yFuZE7lYxOI0j\",\n \"object\": - \"chat.completion\",\n \"created\": 1769808873,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-D8WiFd3X8iE0Xk2N1S3L2k798qWFq\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924743,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"Hello! How can I assist you today?\",\n \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": @@ -52,7 +52,7 @@ interactions: {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_e01c6f58e1\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -61,11 +61,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 21:34:33 GMT + - Thu, 12 Feb 2026 19:32:23 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -81,11 +79,121 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '358' + - '346' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Simple Assistant. A helpful + assistant\nYour personal goal is: Help with basic tasks"},{"role":"user","content":"\nCurrent + Task: Say hello\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '248' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8WiFOaYAAKsuxLAXe6PwTk5AjYdk\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924743,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Hello! How can I assist you today?\",\n + \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": + null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 41,\n \"completion_tokens\": 9,\n \"total_tokens\": 50,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:32:24 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '618' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoffAsync.test_agent_kickoff_async_delegates_to_a2a.yaml b/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoffAsync.test_agent_kickoff_async_delegates_to_a2a.yaml index 79c154e1c..35503b4e7 100644 --- a/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoffAsync.test_agent_kickoff_async_delegates_to_a2a.yaml +++ b/lib/crewai/tests/cassettes/agents/TestAgentA2AKickoffAsync.test_agent_kickoff_async_delegates_to_a2a.yaml @@ -1,60 +1,9 @@ interactions: -- request: - body: '' - headers: - User-Agent: - - X-USER-AGENT-XXX - accept: - - '*/*' - accept-encoding: - - ACCEPT-ENCODING-XXX - connection: - - keep-alive - host: - - localhost:9999 - method: GET - uri: http://localhost:9999/.well-known/agent-card.json - response: - body: - string: '{"capabilities":{"pushNotifications":true,"streaming":true},"defaultInputModes":["text/plain","application/json"],"defaultOutputModes":["text/plain","application/json"],"description":"An - AI assistant powered by OpenAI GPT with calculator and time tools. Ask questions, - perform calculations, or get the current time in any timezone.","name":"GPT - Assistant","preferredTransport":"JSONRPC","protocolVersion":"0.3.0","skills":[{"description":"Have - a general conversation with the AI assistant. 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Do not plan ahead or worry about + future steps.\n\nBefore acting, briefly reason about what you need to do and + which approach\nor tool would be most helpful for this specific step."},{"role":"user","content":"## + Current Step\nConvert 100 degrees Celsius to Fahrenheit using the formula (C + * 9/5) + 32.\n\nComplete this step and provide your result."}],"model":"gpt-4o-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '651' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7suAQ671Jbtp9wpoB37u2YnWfwCI\",\n \"object\": + \"chat.completion\",\n \"created\": 1770771722,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"To convert 100 degrees Celsius to Fahrenheit, + I will use the formula provided: \\n\\n\\\\[\\nF = (C \\\\times \\\\frac{9}{5}) + + 32\\n\\\\]\\n\\nSubstituting \\\\(C = 100\\\\):\\n\\n\\\\[\\nF = (100 \\\\times + \\\\frac{9}{5}) + 32\\n\\\\]\\n\\\\[\\nF = (100 \\\\times 1.8) + 32\\n\\\\]\\n\\\\[\\nF + = 180 + 32\\n\\\\]\\n\\\\[\\nF = 212\\n\\\\]\\n\\nTherefore, 100 degrees Celsius + is equal to 212 degrees Fahrenheit.\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 126,\n \"completion_tokens\": + 123,\n \"total_tokens\": 249,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 01:02:06 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '3906' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: "{\"messages\":[{\"role\":\"system\",\"content\":\"You are a Planning Agent + observing execution progress. 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A precise + unit conversion specialist\n\nYour goal: Accurately convert between units and + apply transformations\n\nYou are executing a specific step in a multi-step plan. + Focus ONLY on completing\nthe current step. Do not plan ahead or worry about + future steps.\n\nBefore acting, briefly reason about what you need to do and + which approach\nor tool would be most helpful for this specific step."},{"role":"user","content":"## + Current Step\nRound 212 degrees Fahrenheit to the nearest 10.\n\n## Context + from previous steps:\nStep 1 result: To convert 100 degrees Celsius to Fahrenheit, + I will use the formula provided: \n\n\\[\nF = (C \\times \\frac{9}{5}) + 32\n\\]\n\nSubstituting + \\(C = 100\\):\n\n\\[\nF = (100 \\times \\frac{9}{5}) + 32\n\\]\n\\[\nF = (100 + \\times 1.8) + 32\n\\]\n\\[\nF = 180 + 32\n\\]\n\\[\nF = 212\n\\]\n\nTherefore, + 100 degrees Celsius is equal to 212 degrees Fahrenheit.\n\nComplete this step + and provide your result."}],"model":"gpt-4o-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1032' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7suH0CMjmCMX4mQN8jWo4R5VyPLy\",\n \"object\": + \"chat.completion\",\n \"created\": 1770771729,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"To round 212 degrees Fahrenheit to + the nearest 10, I need to identify the closest multiple of 10. 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Produce a clean, polished answer as if + you did it all at once."},{"role":"user","content":"## Original Task\nConvert + 100 degrees Celsius to Fahrenheit, then round the result to the nearest 10.\n\n## + Results from each step\nStep 1 (Convert 100 degrees Celsius to Fahrenheit using + the formula (C * 9/5) + 32.):\nTo convert 100 degrees Celsius to Fahrenheit, + I will use the formula provided: \n\n\\[\nF = (C \\times \\frac{9}{5}) + 32\n\\]\n\nSubstituting + \\(C = 100\\):\n\n\\[\nF = (100 \\times \\frac{9}{5}) + 32\n\\]\n\\[\nF = (100 + \\times 1.8) + 32\n\\]\n\\[\nF = 180 + 32\n\\]\n\\[\nF = 212\n\\]\n\nTherefore, + 100 degrees Celsius is equal to 212 degrees Fahrenheit.\n\nStep 2 (Round 212 + degrees Fahrenheit to the nearest 10.):\nTo round 212 degrees Fahrenheit to + the nearest 10, I need to identify the closest multiple of 10. 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An + expert math tutor who breaks down problems step by step\\n\\nYour goal: Solve + multi-step math problems accurately\\n\\nYou are executing ONE specific step + in a larger plan. Your ONLY job is to fully complete this step \u2014 not to + plan ahead.\\n\\nKey rules:\\n- **ACT FIRST.** Execute the primary action of + this step immediately. Do NOT read or explore files before attempting the main + action unless exploration IS the step's goal.\\n- If the step says 'run X', + run X NOW. If it says 'write file Y', write Y NOW.\\n- If the step requires + producing an output file (e.g. /app/move.txt, report.jsonl, summary.csv), you + MUST write that file using a tool call \u2014 do NOT just state the answer in + text.\\n- You may use tools MULTIPLE TIMES. After each tool use, check the result. + If it failed, try a different approach.\\n- Only output your Final Answer AFTER + the concrete outcome is verified (file written, build succeeded, command exited + 0).\\n- If a command is not found or a path does not exist, fix it (different + PATH, install missing deps, use absolute paths).\\n- Do NOT spend more than + 3 tool calls on exploration/analysis before attempting the primary action.\"},{\"role\":\"user\",\"content\":\"## + Task Context\\nThe following is the full task you are helping complete. Keep + this in mind \u2014 especially any required output files, exact filenames, and + expected formats.\\n\\nWhat is the sum of the first 3 prime numbers (2, 3, 5)?\\n\\n---\\n\\n## + Current Step\\nAdd the first two prime numbers: 2 + 3.\\n\\n## Context from + previous steps:\\nStep 1 result: The first three prime numbers are 2, 3, and + 5. \\n\\nNow that I have identified the first three prime numbers, I will write + this information to a file.\\n\\nLet's create a text file named `first_three_primes.txt` + containing the numbers 2, 3, and 5.\\n\\nI'll proceed with this action now.\\n\\n**Execute + the primary action of this step NOW.** If the step requires writing a file, + write it. If it requires running a command, run it. Verify the outcome with + a follow-up tool call, then give your Final Answer. 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You have completed + a multi-step task. Synthesize the results from all steps into a single, coherent + final response that directly addresses the original task. Do NOT list step numbers + or say ''Step 1 result''. Produce a clean, polished answer as if you did it + all at once."},{"role":"user","content":"## Original Task\nWhat is the sum of + the first 3 prime numbers (2, 3, 5)?\n\n## Results from each step\nStep 1 (Add + the first three prime numbers (2, 3, 5).):\nTo complete this step, I need to + add the first three prime numbers: 2, 3, and 5.\n\n1. Start by adding 2 and + 3:\n \\( 2 + 3 = 5 \\)\n\n2. 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[![] Thomas \u015Eerban von Davier] + \\nAffiliated Faculty Member, Carnegie Mellon Institute for Strategy and Technology, + Carnegie Mellon University\\n### Disclosure statement\\nThomas \u015Eerban + von Davier does not work for, consult, own shares in or receive funding from + any company or organisation that would benefit from this article, and has + disclosed no relevant affiliations beyond their academic appointment.\\n### + Partners\\n[] \\n[Carnegie Mellon University] provides funding as a member + of The Conversation US.\\n[View all partners] \\n### DOI\\n[https://doi.org/10.64628/AAI.maxh7d4en] + \\nhttps://theconversation.com/ai-agents-arrived-in-2025-heres-what-happened-and-the-challenges-ahead-in-2026-272325\\nhttps://theconversation.com/ai-agents-arrived-in-2025-heres-what-happened-and-the-challenges-ahead-in-2026-272325\\nLink + copied\\nShare article\\nShare article\\nCopy link[Email] \\n[Bluesky] [Facebook] + [WhatsApp] [Messenger] [LinkedIn] [X (Twitter)] \\nPrint article\\nIn artificial + intelligence, 2025 marked a decisive shift. Systems once confined to research + labs and prototypes began to appear as everyday tools. At the center of this + transition was the rise of AI agents \u2013AI systems that can use other software + tools and act on their own.\\nWhile researchers have studied AI for more than + 60 years, and the term \u201Cagent\u201D has long been part of the field\u2019s + vocabulary, 2025 was the year the concept became concrete for developers and + consumers alike.\\nAI agents moved from theory to infrastructure, reshaping + how people interact with large language models, the systems that power chatbots + like ChatGPT.\\nIn 2025, the definition of AI agent shifted from the[academic + framing] of systems that perceive, reason and act to AI company[Anthropic\u2019s + description] of large language models that are capable of using software tools + and taking autonomous action. While large language models have long excelled + at text-based responses, the recent change is their expanding capacity to + act, using tools, calling[APIs], coordinating with other systems and completing + tasks independently.\\nThis shift did not happen overnight. A key inflection + point came in late 2024, when Anthropic released the[Model Context Protocol]. + The protocol allowed developers to connect large language models to external + tools in a standardized way, effectively giving models the ability to act + beyond generating text. With that, the stage was set for 2025 to become the + year of AI agents.\\n[![Embedded YouTube video]] \\nAI agents are a whole + new ballgame compared with generative AI.## The milestones that defined 2025\\nThe + momentum accelerated quickly. In January, the release of Chinese model[DeepSeek-R1] + as an[open-weight] model disrupted assumptions about who could build high-performing + large language models, briefly rattling markets and intensifying global competition. + An open-weight model is an AI model whose training, reflected in values called + weights, is publicly available. Throughout 2025, major U.S. labs such as[OpenAI],[Anthropic],[Google] + and[xAI] released larger, high-performance models, while Chinese tech companies + including[Alibaba],[Tencent], and[DeepSeek] expanded the open-model ecosystem + to the point where the Chinese models have been[downloaded more than American + models].\\n##### Another turning point came in April, when Google introduced + its[Agent2Agent protocol]. While Anthropic\u2019s Model Context Protocol focused + on how agents use tools, Agent2Agent addressed how agents communicate with + each other. Crucially, the two protocols were designed to work together. Later + in the year, both[Anthropic] and[Google] donated their protocols to the open-source + software nonprofit Linux Foundation, cementing them as open standards rather + than proprietary experiments.\\nThese developments quickly found their way + into consumer products. By mid-2025, \u201Cagentic browsers\u201D began to + appear. Tools such as[Perplexity\u2019s Comet],[Browser Company\u2019s Dia],[OpenAI\u2019s + GPT Atlas],[Copilot in Microsoft\u2019s Edge],[ASI X Inc.\u2019s Fellou],[MainFunc.ai\u2019s + Genspark],[Opera\u2019s Opera Neon] and others reframed the browser as an + active participant rather than a passive interface. For example, rather than + helping you search for vacation details, it plays a part in booking the vacation.\\nAt + the same time, workflow builders like[n8n] and[Google\u2019s Antigravity] + lowered the technical barrier for creating custom agent systems beyond what + has already happened with coding agents like[Cursor] and[GitHub Copilot].\\n## + New power, new risks\\nAs agents became more capable, their risks became harder + to ignore. In November, Anthropic disclosed how its Claude Code agent[had + been misused] to automate parts of a cyberattack. The incident illustrated + a broader concern: By automating repetitive, technical work, AI agents can + also lower the barrier for malicious activity.\\nThis tension defined much + of 2025. AI agents expanded what individuals and organizations could do, but + they also[amplified existing vulnerabilities]. Systems that were once isolated + text generators became interconnected, tool-using actors operating with little + human oversight.\\n[![Embedded YouTube video]] \\nThe business community is + gearing up for multiagent systems.## What to watch for in 2026\\nLooking ahead, + several open questions are likely to shape the next phase of AI agents.\\nOne + is benchmarks. Traditional benchmarks, which are like a structured exam with + a series of questions and standardized scoring, work well for single models, + but[agents are composite systems] made up of models, tools, memory and decision + logic. Researchers increasingly want to evaluate[not just outcomes, but processes]. + This would be like asking students to show their work, not just provide an + answer.\\nProgress here will be critical for improving reliability and trust, + and ensuring that an AI agent will perform the task at hand. One method is + establishing clear definitions around[AI agents and AI workflows]. Organizations + will need to map out exactly where AI will[integrate into workflows or introduce + new ones].\\nAnother development to watch is governance. In late 2025, the + Linux Foundation announced the creation of the[Agentic AI Foundation], signaling + an effort to establish shared standards and best practices. If successful, + it could play a role like the[World Wide Web Consortium] in shaping an open, + interoperable agent ecosystem.\\nThere is also a growing debate over model + size. While large, general-purpose models dominate headlines, smaller and + more specialized models are often[better suited to specific tasks]. As agents + become configurable consumer and business tools, whether through browsers + or workflow management software, the power to choose the right model increasingly + shifts to users rather than labs or corporations.\\n## The challenges ahead\\nDespite + the optimism, significant socio-technical challenges remain. Expanding data + center infrastructure[strains energy grids] and affects local communities. + In workplaces, agents raise concerns about automation,[job displacement] and + surveillance.\\nFrom a security perspective, connecting models to tools and + stacking agents together[multiplies risks] that are already unresolved in + standalone large language models. Specifically, AI practitioners are addressing + the dangers of[indirect prompt injections], where prompts are hidden in open + web spaces that are readable by AI agents and result in harmful or unintended + actions.\\nRegulation is another unresolved issue. Compared with[Europe] and[China], + the United States has relatively limited oversight of algorithmic systems. + As AI agents become embedded across digital life, questions about access, + accountability and limits remain largely unanswered.\\nMeeting these challenges + will require more than technical breakthroughs. It demands[rigorous engineering + practices], careful design and clear documentation of how systems work and + fail. Only by treating AI agents as socio-technical systems rather than mere + software components, I believe, can we build an AI ecosystem that is both + innovative and safe.\\n**\\n* [Artificial intelligence (AI)] \\n* [Google] + \\n* [Technology] \\n* [OpenAI] \\n* [Anthropic] \\n* [AI safety] \\n* [AI + agents] \\n### Events\\n[More events] \\n### Jobs\\n* ##### [Engagement Coordinator + and Event Producer] \\n* ##### [Deputy Editor] \\n* ##### [Director of Professional + Development] \\n* ##### [University Librarian] \\n* ##### [Video Commissioning + Editor] \\n[More jobs]\",\"image\":\"https://images.theconversation.com/files/709953/original/file-20251219-66-te6uyi.jpg?ixlib=rb-4.1.0&rect=0%2C250%2C8000%2C4000&q=45&auto=format&w=1356&h=668&fit=crop\",\"favicon\":\"https://cdn.theconversation.com/static/tc/logos/web-app-logo-192x192-2d05bdd6de6328146de80245d4685946.png\"},{\"id\":\"https://kodexolabs.com/what-are-autonomous-ai-agents/\",\"title\":\"What + are Autonomous AI Agents? A Complete Guide 2025\",\"url\":\"https://kodexolabs.com/what-are-autonomous-ai-agents/\",\"publishedDate\":\"2025-07-31T00:00:00.000Z\",\"author\":null,\"text\":\"What + are Autonomous AI Agents? 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A Complete Guide for 2025 and Beyond\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nJuly 31, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nTable + Of Contents\\n1. [Share This Article] \\n2. [Introduction] \\n3. [What Are + Autonomous AI Agents? Understanding the Fundamentals] \\n* [What Makes an + AI Agent Autonomous?] \\n* * [Autonomous Agents vs Traditional AI Systems] + \\n* * [Key Characteristics of Modern Autonomous Agents] \\n* [How Do Autonomous + AI Agents Work? Technical Architecture Explained] \\n* [Core Components of + Autonomous AI Systems] \\n* * [Types of Autonomous Agents by Intelligence + Level] \\n* * [Machine Learning Integration in Agent Architecture] \\n* [Autonomous + AI Agents 2025: Latest Developments and Technical Advancements] \\n* [Recent + Developments in Autonomous AI Agents 2025] \\n* * [Top Technical Advancements + Shaping 2025] \\n* * [Fully Autonomous AI Agents: What's Now Possible + in 2025] \\n* [Best Autonomous AI Agents Examples and Real-World Applications] + \\n* [Top Consumer Autonomous AI Agents] \\n* * [Enterprise and Business Applications] + \\n* * [Emerging Application Areas in 2025] \\n* * [Performance Metrics and + Success Stories] \\n* [The Role of Autonomous AI Agents in Business and Industry + Impact] \\n* [How Autonomous AI Agents Will Impact Industries in 2025] \\n* + * [Salesforce Autonomous Agents and CRM Integration] \\n* * [Autonomous Agents + Market Growth and Opportunities] \\n* * [Customer Service Revolution Through + AI Agents] \\n* [How to Build Autonomous AI Agents: Development and Implementation + Guide] \\n* [Essential Steps for Building Autonomous AI Agents] \\n* * [Best + Use Cases for Autonomous AI Agents] \\n* * [AI Agent Automation for Startups + in 2025] \\n* * [Integration with External Tools and Systems] \\n* * [Development + Challenges and Solutions] \\n* [Autonomous AI Agents vs Traditional Systems: + A Comprehensive Comparison] \\n* [Comparison of Autonomous AI Agents 2025 + vs Previous Generations] \\n* * [Most Advanced Autonomous AI Agents 2025: + Market Leaders] \\n* * [Human Workers vs Autonomous AI Agents: Collaborative + Future] \\n* * [Evolution from Reactive to Autonomous Systems] \\n* [Future + of Autonomous AI Agents: Trends and Predictions for 2025 and Beyond] \\n* + [How Autonomous AI Agents Are Shaping the Future] \\n* * [Top Trends in Autonomous + AI Agents 2025] \\n* * [What to Expect from Autonomous AI Agents in the Future] + \\n* * [Autonomous AI Agents in 2025 and Beyond: Technology Roadmap] \\n* + * [Challenges and Opportunities Ahead] \\n* [Geographic Trends and Regional + Variations in Autonomous AI Agent Adoption] \\n* [Factors Influencing Regional + Differences] \\n* * [Comparison of Regional Trends] \\n* * [Regional Market + Opportunities] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What are autonomous AI agents and how do they differ from regular AI?] + \\n* * [How can autonomous AI agents be used in business in 2025?] \\n* * + [What makes an AI agent truly autonomous?] \\n* * [What are the best examples + of autonomous AI agents available today?] \\n* * [How do I build autonomous + AI agents for my startup?] \\n* [Conclusion:] \\n* [Related Blogs] \\n## Share + This Article\\n![Illustration of an autonomous AI agent symbolizing the advancements + and potential of AI agents in 2025.] ## Introduction\\nAccording to recent + research, the global autonomous AI agents market is projected to reach[$9.9 + billion in 2025] and is anticipated to grow significantly to[$253.3 billion + by 2034], registering a strong CAGR of43.4%during the forecast period. This + explosive growth is driven by rapid enterprise adoption, continuous advancements + in artificial intelligence, and the expansion of automation across diverse + industries. North America is expected to command the largest market share + in 2025, holding about 40.7% of the global market.\\nThis comprehensive guide + explores autonomous AI agents’ fundamentals, applications, and 2025 + developments, providing essential insights for businesses, developers, and + decision-makers navigating AI transformation.\\n## What Are Autonomous AI + Agents? Understanding the Fundamentals\\nAutonomous AI agents are self-governing + systems that operate independently without constant human intervention, making + decisions and taking actions to achieve specific goals using machine learning + and environmental awareness.\\n[Autonomous AI agents] represent a significant + leap forward from traditional AI systems. Unlike conventional artificial intelligence + that requires explicit programming for every scenario, autonomous agents possess + the capability to learn, adapt, and make independent decisions based on their + environment and objectives. These systems combine[machine learning], natural + language processing, and real-time data analysis to create intelligent entities + that can operate with minimal human oversight.\\n**For example:**Learners + today can[learn French with Langua’s AI platform], which uses these + same principles to personalize instruction, track progress, and respond dynamically + to the user\u2019s input mirroring how autonomous agents behave in complex + business environments.\\nThe key distinction lies in their autonomy \u2013the + ability to perceive their environment, process information, make decisions, + and execute actions without waiting for human commands. This independence + makes them particularly valuable for businesses seeking to automate complex + processes, improve operational efficiency, and provide consistent service + delivery around the clock.\\n#####\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/07/What-Are-Autonomous-AI-Agents-A-Complete-Guide-for-2025.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\",\"title\":\"AI + Agent in 2025: How Autonomous Agents Redefine Workflows\",\"url\":\"https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\",\"publishedDate\":\"2025-09-23T00:00:00.000Z\",\"author\":\"Amer + Wilson\",\"text\":\"AI Agent in 2025: How Autonomous Agents Redefine Workflows\\n[] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* 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[Shopify Services] \\n* [Website Development Solutions] \\n* [Microsoft + Dynamics Services] \\n* [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics + Data Migration] \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft + Dynamics Support and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* + [HubSpot Services] \\n* [HubSpot CMS Customization Services] \\n* [HubSpot + Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration + Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full + Stack Development] \\n* [Full Stack Web & Mobile App Development] \\n* + [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full + Stack E-Commerce Solutions] \\n* [Full Stack API & Integration Services] + \\n* [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* + [Web Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* + [Case Studies] \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] + \\n**\\nContact us\\n[] [] \\n# AI Agent in 2025: How Autonomous Agents Are + Redefining Workflows\\n* [Your Partner in CRM, Custom Software & AI Solutions] + \\n* [Blog] \\n* AI Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* + **September 23, 2025\\n* **By[Amer Wilson] \\n* **[Blog] \\n## The Future + of Smarter Workflows\\nThe year 2025 is a defining moment for[AI agents]. + They\u2019ve moved far beyond experimental use.\\nToday, AI-powered agents + handle critical business tasks, manage data, and automate complex workflows. + What was once a futuristic idea is now a practical reality. Autonomous AI + agents are revolutionizing the way businesses operate.\\nThese tools offer + speed, accuracy, and scalability. Companies adopting AI workflow automation + are setting new standards for efficiency.\\nLet\u2019s dive into why AI agent + use cases are becoming central to modern business operations.\\n## Why Businesses + Can\u2019t Ignore AI Agents Anymore\\nThe simple answer: efficiency. AI agents + streamline repetitive tasks that consume time and resources.\\nMistakes in + manual processes can be costly. AI-powered agents complete tasks with consistent + accuracy. Scalability is another driver. Humans can multitask, but autonomous + AI agents handle hundreds of tasks simultaneously.\\nThis power enables rapid + growth, particularly in industries such as healthcare,[finance], and e-commerce.\\nMore + importantly, automation frees employees from routine work. With AI workflow + automation, they focus on creativity and strategy.\\nThe benefits are clear: + better results, reduced costs, and faster operations. Businesses can\u2019t + afford to ignore them.\\n## AI Agents Explained: What They Really Do in 2025\\nSo, + what exactly is an AI agent? At its core, it\u2019s a digital decision-maker.\\nUnlike + traditional bots, autonomous AI agents don\u2019t just follow commands. They + learn, adapt, and improve. They integrate with systems like[CRM] s, ERPs, + and analytics platforms. This makes AI workflow automation seamless.\\nFor + instance, a customer service AI agent can analyze past cases and resolve issues + faster.\\nIn finance, AI-powered agents detect fraud by spotting unusual transaction + patterns in real-time.\\nSome popular AI agent use cases include HR onboarding, + lead qualification, inventory monitoring, and IT helpdesk support.\\nWherever + there\u2019s repetitive, data-heavy work, autonomous AI agents are stepping + in.\\n## What\u2019s New with Autonomous AI Agents in 2025\\nSeveral advancements + are expected to enhance the capabilities of AI agents in 2025.\\nFirst, natural + language capabilities have evolved. Teams interact with AI-powered agents + using plain English commands.\\nSecond, cross-platform integration is seamless. + Autonomous AI agents seamlessly integrate CRMs, ERPs, and communication apps. + For example, an AI agent can fetch customer data, update invoices, and send + email alerts instantly.\\nThird, compliance and security features have matured. + Companies trust the best AI agent tools with sensitive data.\\nFourth, predictive + insights are now standard. AI agents forecast outcomes and suggest smarter + actions.\\nFinally, the user experience has improved dramatically. Drag-and-drop + builders simplify the design of AI workflow automation.\\nTogether, these + innovations make autonomous AI agents indispensable\",\"image\":\"https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-26.png\",\"favicon\":\"https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\"},{\"id\":\"https://medium.com/@Micheal-Lanham/building-the-future-your-guide-to-autonomous-ai-agents-in-2025-fb690ebc1caa\",\"title\":\"Building + the Future: Your Guide to Autonomous AI Agents in 2025\",\"url\":\"https://medium.com/@Micheal-Lanham/building-the-future-your-guide-to-autonomous-ai-agents-in-2025-fb690ebc1caa\",\"publishedDate\":\"2025-10-07T00:00:00.000Z\",\"author\":\"Micheal + Lanham\",\"text\":\"Building the Future: Your Guide to Autonomous AI Agents + in 2025 | by Micheal Lanham | Medium\\n[Sitemap] \\n[Open in app] \\nSign + up\\n[Sign in] \\n[Medium Logo] \\n[\\nWrite\\n] \\n[\\nSearch\\n] \\nSign + up\\n[Sign in] \\n![] \\nMember-only story\\n# Building the Future: Your Guide + to Autonomous AI Agents in 2025\\n[\\n![Micheal Lanham] \\n] \\n[Micheal Lanham] + \\n13 min read\\n\xB7Oct 7, 2025\\n[\\n] \\n--\\n[] \\nShare\\nPress enter + or click to view image in full size\\n![] \\nall images generated by gpt-image-1## + How smart software is learning to think, plan, and act on its own \u2014and + what you need to know to build with it\\nPicture this: you wake up to find + your AI assistant has already read through your morning emails, scheduled + your meetings around your preferences, researched that technical question + you mentioned yesterday, and even fixed a bug in your codebase while you slept.\\nThis + isn\u2019t science fiction. It\u2019s happening right now.\\n**Autonomous + AI agents**\u2014 AI programs that can reason, plan, and act to achieve goals + with minimal human intervention \u2014are rapidly becoming one of the most + transformative trends in software development. Thanks to powerful large language + models like GPT-4 and Claude, along with innovative frameworks for chaining + tools and memory, we\u2019re finally seeing AI agents that can handle complex, + multi-step tasks that used to require constant human oversight.\\nIf you\u2019ve + been wondering how to build these intelligent systems, which tools to use, + or what the future holds, you\u2019re in the right place. Let\u2019s dive + into the world of autonomous AI agents and explore how you can start building + with them today.\\n[\\n![Micheal Lanham] \\n] \\n[\\n![Micheal Lanham] \\n] + \\n[## Written byMicheal Lanham\\n] \\n[847 followers] \\n\xB7[5 following] + \\nMicheal Lanham is a proven software and tech innovator with 20 years of + experience developing games, graphics and machine learning AI apps.\\n## No + responses yet\\n[] \\n[\\nHelp\\n] \\n[\\nStatus\\n] \\n[\\nAbout\\n] \\n[\\nCareers\\n] + \\n[\\nPress\\n] \\n[\\nBlog\\n] \\n[\\nPrivacy\\n] \\n[\\nRules\\n] \\n[\\nTerms\\n] + \\n[\\nText to speech\\n]\",\"image\":\"https://miro.medium.com/v2/resize:fit:1200/1*orODpE7gJtEgr4GSvPXtYw.png\",\"favicon\":\"https://miro.medium.com/v2/5d8de952517e8160e40ef9841c781cdc14a5db313057fa3c3de41c6f5b494b19\"},{\"id\":\"https://blogs.microsoft.com/blog/2025/05/19/microsoft-build-2025-the-age-of-ai-agents-and-building-the-open-agentic-web/\",\"title\":\"Microsoft + Build 2025: The age of AI agents and building the open ...\",\"url\":\"https://blogs.microsoft.com/blog/2025/05/19/microsoft-build-2025-the-age-of-ai-agents-and-building-the-open-agentic-web/\",\"publishedDate\":\"2025-05-19T00:00:00.000Z\",\"author\":\"Frank + X. Shaw\",\"text\":\"Microsoft Build 2025: The age of AI agents and building + the open agentic web - The Official Microsoft Blog\\n[Skip to content] \\n[Skip + to main content] \\n[![] Microsoft] \\nOfficial Microsoft Blog\\n[Official + Microsoft Blog] \\nOfficial Microsoft Blog\\nSearchSearch blogs.microsoft.com\\n* + No results\\nCancel[0Cart0 items in shopping cart] \\n# Microsoft Build 2025: + The age of AI agents and building the open agentic web\\nMay 19, 2025|[Frank + X. Shaw - Chief Communications Officer, Microsoft] \\n* [] \\n* [] \\n* [] + \\n* [] \\n![An image with Microsoft Build in the lower left corner, a dark + red background that becomes pixelated and lighter toward the right side and + images of triangular tubes on the right side.] \\n*TL;DR? Hear the news as + an AI-generated audio overview made using Microsoft 365 Copilot. You can read + the transcript[here].*\\nAudio Player\\n[https://msblogs.thesourcemediaassets.com/2025/05/Build2025\\\\_OMB\\\\_AI-generated\\\\_AudioOverview\\\\_Final.mp3] + \\n00:00\\n00:00\\n00:00\\n[Use Up/Down Arrow keys to increase or decrease + volume.\\n] \\nWe\u2019ve entered the era of AI agents. Thanks to groundbreaking + advancements in reasoning and memory, AI models are now more capable and efficient, + and we\u2019re seeing how AI systems can help us all solve problems in new + ways.\\nFor example, 15 million developersare already using GitHub Copilot, + and features like agent mode andcode revieware streamlining the way they code, + check, deploy and troubleshoot.\\nHundreds of thousands of customers are using[Microsoft + 365 Copilot] to help research, brainstorm and develop solutions, and more + than 230,000 organizations \u2014including 90% of the Fortune 500 \u2014have + already used Copilot Studio to build AI agents and automations.\\nCompanies + like[Fujitsu] and[NTT DATA] are using Azure AI Foundry to build and manage + AI apps and agents that help prioritize sales leads, speed proposal creation + and surface client insights. Stanford Health Care is using Microsoft\u2019s + healthcare agent orchestrator[to build and test AI agents] that can help alleviate + the administrative burden and speed up the workflow for tumor board preparation.\\nDevelopers + are at the center of it all. For 50 years Microsoft has been empowering developers + with tools and platforms to turn their ideas into reality, accelerating innovation + at every stage. From AI-driven automation to seamless cloud integration and + more, it\u2019s exciting to see how developers are fueling the next generation + of digital transformation.\\nSo, what\u2019s next?\\nWe envision a world in + which agents operate across individual, organizational, team and end-to-end + business contexts. This emerging vision of the internet**is an open agentic + web**, where AI agents make decisions and perform tasks on behalf of users + or organizations.\\nAt Microsoft Build we\u2019re showing the steps we\u2019re + taking to make this vision a reality through our platforms, products and infrastructure. + We\u2019re putting new models and coding agents in the hands of developers, + introducing enterprise-grade agents, making our platforms like Azure AI Foundry, + GitHub and Windows the best places to build, embracing open protocols and + accelerating scientific discovery with AI, all so that developers and organizations + can go invent the next big thing.\\nHere\u2019s a glimpse at just a few of + the announcements today:\\n### **Reimagining the software development lifecycle + with AI**\\nAI is fundamentally shifting how code is written, deployed and + maintained. Developers are using AI to stay in the flow of their environment + longer and to shift their focus to more strategic tasks. And as the software + development lifecycle is being transformed, we\u2019re providing new features + across platforms including GitHub, Azure AI Foundry and Windows that enable + developers to work faster, think bigger and build at scale.\\n* **GitHub Copilot + coding agent and new updates to GitHub Models:**GitHub Copilot is evolving + from an in-editor assistant to an agentic AI partner with a first-of-its-kind**asynchronous + coding agent**integrated into the GitHub platform. We\u2019re adding prompt + management, lightweight evaluations and enterprise controls to**GitHub Models**so + teams can experiment with best-in-class models, without leaving GitHub. Microsoft + is also**open-sourcing GitHub Copilot Chat in VS Code**. The AI-powered capabilities + from GitHub Copilot extensions will now be part of the same open-source repository + that drives the world\u2019s most popular development tool. As the home of + over 150 million developers, this reinforces our commitment to open, collaborative, + AI-powered software development. Learn more about[GitHub Copilot updates].\\n* + **Introducing Windows AI Foundry**:For developers, Windows remains one of + the most open and widely used platforms available, with scale, flexibility + and growing opportunity. Windows AI Foundryoffers a unified and reliable platform + supporting the AI developer lifecycle across training and inference. With + simple model APIs for vision and language tasks, developers can manage and + run open source LLMs via**Foundry Local**or bring a proprietary model to convert, + fine-tune and deploy across client and cloud.Windows AI Foundry is available + to get started today. To learn more[visit our Windows Developer Blog].\\n* + **Azure AI Foundry Models and new tools for model evaluation:**Azure AI Foundry + is a unified platform for developers to design, customize and manage AI applications + and agents. With Azure AI Foundry Models, we\u2019re bringing Grok 3 and Grok + 3 mini models from xAI to our ecosystem, hosted and billed directly by Microsoft. + Developers can now choose from more than 1,900 partner-hosted and Microsoft-hosted + AI models, while managing secure data integration, model customization and + enterprise-grade governance. We\u2019re also introducing new tools like the + Model Leaderboard, which ranks the top-performing AI models across different + categories and tasks, and the Model Router, designed to select an optimal + model for a specific query or task in real-time. Read more about[Azure AI + Foundry Models].### **Making AI agents more capable and secure**\\nAI agents + are not only changing how developers build, but how individuals, teams and + companies get work done.At Build, we\u2019re unveilingnew pre-built agents, + custom agent building blocks, multi-agent capabilities and new models to help + developers and organizations build and deploy agents securely to help increase + productivity in meaningful ways.\\n* With the general availability of**Azure + AI Foundry Agent Service,**Microsoft is bringing new capabilities to empower + professional developers to orchestrate multiple specialized agents to handle + complex tasks, including bringing Semantic Kernel and AutoGen into a single, + developer-focused SDK and Agent-to-Agent (A2A) and Model Context Protocol + (MCP) support. To help developers build trust and confidence in their AI agents, + we\u2019re announcing new features in**Azure AI Foundry Observability**for + built-in observability into metrics for performance, quality, cost and safety, + all incorporated alongside detailed tracing in a streamlined dashboard.Learn + more about how to deploy enterprise-grade AI agents in[Azure AI Foundry Service].\\n* + **Discover, protect and govern in Azure AI Foundry:**With[Microsoft Entra + Agent ID], now in preview, agents that developers create in Microsoft Copilot + Studio or Azure AI Foundry are automatically assigned unique identities in + an Entra directory, helping enterprises securely manage agents right from + the start and avoid \u201Cagent sprawl\u201D that could lead to blind spots. + Apps and agents built with Foundry further benefit from[Purview data security + and compliance controls]. Foundry also offers enhanced governance tools to + set risk parameters, run automated evaluations and receive detailed reports. + Learn more about[Microsoft Entra Agent ID] and[Azure AI Foundry integrations + with Microsoft Purview Compliance Manager].\\n* **Introducing Microsoft 365 + Copilot Tuning and multi-agent orchestration:**With**Copilot Tuning**, customers + can use their own company data, workflows and processes to train models and + create agents in a simple, low-code way. These agents perform highly accurate, + domain-specific tasks securely from within the Microsoft 365 service boundary. + For example, a law firm can create an agent that generates documents aligned + with its organization\u2019s expertise and style. Additionally, new**multi-agent + orchestration in Copilot Studio**connects multiple agents, allowing them to + combine skills and tackle broader, more complex tasks. Check out the[Microsoft + 365 blog] to learn how to access these new tools as well as the Microsoft + 365 Copilot Wave 2 spring release, which has moved to general availability + and begins rolling out today.### **Supporting the open agentic web**\\nTo + realize the future of AI agents, we\u2019re advancing open standards and shared + infrastructure to provide unique capabilities for customers.\\n* **Supporting + Model Context Protocol (MCP):**Microsoft is delivering**broad first-party + support**for Model Context Protocol (MCP) across its agent platform and frameworks, + spanning GitHub, Copilot Studio, Dynamics 365, Azure AI Foundry, Semantic + Kernel and[Windows 11]. In addition, Microsoft and GitHub have joined the + MCP Steering Committee to help advance secure, at-scale adoption of the open + protocol and announced two new contributions to the MCP ecosystem,**an updated + authorization specification**, which enables people to use their existing + trusted sign-in methods to give agents and LLM-powered apps access to data + and services such as personal storage drives or subscription services, and + the design of an**MCP server registry service**, which allows anyone to implement + public or private, up-to-date, centralized repositories for MCP server entries. + Check out the[GitHub repository]\",\"image\":\"https://msblogs.thesourcemediaassets.com/2025/05/OMB-Build-2025-Hero-Art-Final-1024x576.png\",\"favicon\":\"https://blogs.microsoft.com/wp-content/uploads/2017/08/favicon.jpg\"},{\"id\":\"https://arxiv.org/abs/2509.02547\",\"title\":\"The + Landscape of Agentic Reinforcement Learning for LLMs: A Survey\",\"url\":\"https://arxiv.org/abs/2509.02547\",\"publishedDate\":\"2025-09-02T00:00:00.000Z\",\"author\":\"[Submitted + on 2 Sep 2025]\",\"text\":\"[2509.02547] The Landscape of Agentic Reinforcement + Learning for LLMs: A Survey\\n[Skip to main content] \\n[![Cornell University]] + \\nWe gratefully acknowledge support from the Simons Foundation,[member institutions], + and all contributors.[Donate] \\n[] \\n[![arxiv logo]] >[cs] >arXiv:2509.02547\\n[Help] + |[Advanced Search] \\nAll fieldsTitleAuthorAbstractCommentsJournal referenceACM + classificationMSC classificationReport numberarXiv identifierDOIORCIDarXiv + author IDHelp pagesFull text\\nSearch\\n[![arXiv logo]] \\n[![Cornell University + Logo]] \\nopen search\\nGO\\nopen navigation menu\\n# Computer Science \\\\> + Artificial Intelligence\\n**arXiv:2509.02547**(cs)\\n[Submitted on 2 Sep 2025 + ([v1]), last revised 24 Jan 2026 (this version, v4)]\\n# Title:The Landscape + of Agentic Reinforcement Learning for LLMs: A Survey\\nAuthors:[Guibin Zhang],[Hejia + Geng],[Xiaohang Yu],[Zhenfei Yin],[Zaibin Zhang],[Zelin Tan],[Heng Zhou],[Zhongzhi + Li],[Xiangyuan Xue],[Yijiang Li],[Yifan Zhou],[Yang Chen],[Chen Zhang],[Yutao + Fan],[Zihu Wang],[Songtao Huang],[Francisco Piedrahita-Velez],[Yue Liao],[Hongru + Wang],[Mengyue Yang],[Heng Ji],[Jun Wang],[Shuicheng Yan],[Philip Torr],[Lei + Bai] \\nView a PDF of the paper titled The Landscape of Agentic Reinforcement + Learning for LLMs: A Survey, by Guibin Zhang and 24 other authors\\n[View + PDF] [HTML (experimental)] > > Abstract:\\n> The emergence of agentic reinforcement + learning (Agentic RL) marks a paradigm shift from conventional reinforcement + learning applied to large language models (LLM RL), reframing LLMs from passive + sequence generators into autonomous, decision-making agents embedded in complex, + dynamic worlds. This survey formalizes this conceptual shift by contrasting + the degenerate single-step Markov Decision Processes (MDPs) of LLM-RL with + the temporally extended, partially observable Markov decision processes (POMDPs) + that define Agentic RL. Building on this foundation, we propose a comprehensive + twofold taxonomy: one organized around core agentic capabilities, including + planning, tool use, memory, reasoning, self-improvement, and perception, and + the other around their applications across diverse task domains. Central to + our thesis is that reinforcement learning serves as the critical mechanism + for transforming these capabilities from static, heuristic modules into adaptive, + robust agentic behavior. To support and accelerate future research, we consolidate + the landscape of open-source environments, benchmarks, and frameworks into + a practical compendium. By synthesizing over five hundred recent works, this + survey charts the contours of this rapidly evolving field and highlights the + opportunities and challenges that will shape the development of scalable, + general-purpose AI agents. Comments:|Published on Transactions on Machine + Learning Research:[this https URL] |\\nSubjects:|Artificial Intelligence (cs.AI); + Computation and Language (cs.CL)|\\nCite as:|[arXiv:2509.02547] [cs.AI]|\\n|(or[arXiv:2509.02547v4] + [cs.AI]for this version)|\\n|[https://doi.org/10.48550/arXiv.2509.02547] \\nFocus + to learn more\\narXiv-issued DOI via DataCite\\n|\\n## Submission history\\nFrom: + Hejia Geng [[view email]]\\n**[[v1]] **Tue, 2 Sep 2025 17:46:26 UTC (5,418 + KB)\\n**[[v2]] **Wed, 29 Oct 2025 06:27:56 UTC (5,432 KB)\\n**[[v3]] **Sat, + 8 Nov 2025 05:55:03 UTC (5,352 KB)\\n**[v4]**Sat, 24 Jan 2026 22:41:54 UTC + (12,708 KB)\\nFull-text links:## Access Paper:\\nView a PDF of the paper titled + The Landscape of Agentic Reinforcement Learning for LLMs: A Survey, by Guibin + Zhang and 24 other authors\\n* [View PDF] \\n* [HTML (experimental)] \\n* + [TeX Source] \\n[![license icon] view license] \\nCurrent browse context:\\ncs.AI\\n[<<prev] + | [next>>] \\n[new] |[recent] |[2025-09] \\nChange to browse by:\\n[cs] + \\n[cs.CL] \\n### References & Citations\\n* [NASA ADS] \\n* [Google Scholar] + \\n* [Semantic Scholar] \\nexport BibTeX citationLoading...\\n## BibTeX formatted + citation\\n×\\nloading...\\nData provided by:\\n### Bookmark\\n[![BibSonomy + logo]] [![Reddit logo]] \\nBibliographic Tools\\n# Bibliographic and Citation + Tools\\nBibliographic Explorer Toggle\\nBibliographic Explorer*([What is the + Explorer?])*\\nConnected Papers Toggle\\nConnected Papers*([What is Connected + Papers?])*\\nLitmaps Toggle\\nLitmaps*([What is Litmaps?])*\\nscite.ai Toggle\\nscite + Smart Citations*([What are Smart Citations?])*\\nCode, Data, Media\\n# Code, + Data and Media Associated with this Article\\nalphaXiv Toggle\\nalphaXiv*([What + is alphaXiv?])*\\nLinks to Code Toggle\\nCatalyzeX Code Finder for Papers*([What + is CatalyzeX?])*\\nDagsHub Toggle\\nDagsHub*([What is DagsHub?])*\\nGotitPub + Toggle\\nGotit.pub*([What is GotitPub?])*\\nHuggingface Toggle\\nHugging Face*([What + is Huggingface?])*\\nLinks to Code Toggle\\nPapers with Code*([What is Papers + with Code?])*\\nScienceCast Toggle\\nScienceCast*([What is ScienceCast?])*\\nDemos\\n# + Demos\\nReplicate Toggle\\nReplicate*([What is Replicate?])*\\nSpaces Toggle\\nHugging + Face Spaces*([What is Spaces?])*\\nSpaces Toggle\\nTXYZ.AI*([What is TXYZ.AI?])*\\nRelated + Papers\\n# Recommenders and Search Tools\\nLink to Influence Flower\\nInfluence + Flower*([What are Influence Flowers?])*\\nCore recommender toggle\\nCORE Recommender*([What + is CORE?])*\\n* Author\\n* Venue\\n* Institution\\n* Topic\\nAbout arXivLabs\\n# + arXivLabs: experimental projects with community collaborators\\narXivLabs + is a framework that allows collaborators to develop and share new arXiv features + directly on our website.\\nBoth individuals and organizations that work with + arXivLabs have embraced and accepted our values of openness, community, excellence, + and user data privacy. arXiv is committed to these values and only works with + partners that adhere to them.\\nHave an idea for a project that will add value + for arXiv's community?[**Learn more about arXivLabs**].\\n[Which authors of + this paper are endorsers?] |[Disable MathJax] ([What is MathJax?])\",\"image\":\"/static/browse/0.3.4/images/arxiv-logo-fb.png\",\"favicon\":\"https://arxiv.org/static/browse/0.3.4/images/icons/favicon-32x32.png\"},{\"id\":\"https://arxiv.org/abs/2510.05592\",\"title\":\"In-the-Flow + Agentic System Optimization for Effective Planning and Tool Use\",\"url\":\"https://arxiv.org/abs/2510.05592\",\"publishedDate\":\"2025-10-07T00:00:00.000Z\",\"author\":\"[Submitted + on 7 Oct 2025]\",\"text\":\"[2510.05592] In-the-Flow Agentic System Optimization + for Effective Planning and Tool Use\\n[Skip to main content] \\n[![Cornell + University]] \\nWe gratefully acknowledge support from the Simons Foundation,[member + institutions], and all contributors.[Donate] \\n[] \\n[![arxiv logo]] >[cs] + >arXiv:2510.05592\\n[Help] |[Advanced Search] \\nAll fieldsTitleAuthorAbstractCommentsJournal + referenceACM classificationMSC classificationReport numberarXiv identifierDOIORCIDarXiv + author IDHelp pagesFull text\\nSearch\\n[![arXiv logo]] \\n[![Cornell University + Logo]] \\nopen search\\nGO\\nopen navigation menu\\n# Computer Science \\\\> + Artificial Intelligence\\n**arXiv:2510.05592**(cs)\\n[Submitted on 7 Oct 2025]\\n# + Title:In-the-Flow Agentic System Optimization for Effective Planning and Tool + Use\\nAuthors:[Zhuofeng Li],[Haoxiang Zhang],[Seungju Han],[Sheng Liu],[Jianwen + Xie],[Yu Zhang],[Yejin Choi],[James Zou],[Pan Lu] \\nView a PDF of the paper + titled In-the-Flow Agentic System Optimization for Effective Planning and + Tool Use, by Zhuofeng Li and 8 other authors\\n[View PDF] [HTML (experimental)] + > > Abstract:\\n> Outcome-driven reinforcement learning has advanced reasoning + in large language models (LLMs), but prevailing tool-augmented approaches + train a single, monolithic policy that interleaves thoughts and tool calls + under full context; this scales poorly with long horizons and diverse tools + and generalizes weakly to new scenarios. Agentic systems offer a promising + alternative by decomposing work across specialized modules, yet most remain + training-free or rely on offline training decoupled from the live dynamics + of multi-turn interaction. We introduce AgentFlow, a trainable, in-the-flow + agentic framework that coordinates four modules (planner, executor, verifier, + generator) through an evolving memory and directly optimizes its planner inside + the multi-turn loop. To train on-policy in live environments, we propose Flow-based + Group Refined Policy Optimization (Flow-GRPO), which tackles long-horizon, + sparse-reward credit assignment by converting multi-turn optimization into + a sequence of tractable single-turn policy updates. It broadcasts a single, + verifiable trajectory-level outcome to every turn to align local planner decisions + with global success and stabilizes learning with group-normalized advantages. + Across ten benchmarks, AgentFlow with a 7B-scale backbone outperforms top-performing + baselines with average accuracy gains of 14.9% on search, 14.0% on agentic, + 14.5% on mathematical, and 4.1% on scientific tasks, even surpassing larger + proprietary models like GPT-4o. Further analyses confirm the benefits of in-the-flow + optimization, showing improved planning, enhanced tool-calling reliability, + and positive scaling with model size and reasoning turns. Comments:|45 pages, + 12 figures. Project website:[this https URL] |\\nSubjects:|Artificial Intelligence + (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG); Multiagent + Systems (cs.MA)|\\nCite as:|[arXiv:2510.05592] [cs.AI]|\\n|(or[arXiv:2510.05592v1] + [cs.AI]for this version)|\\n|[https://doi.org/10.48550/arXiv.2510.05592] \\nFocus + to learn more\\narXiv-issued DOI via DataCite\\n|\\n## Submission history\\nFrom: + Pan Lu [[view email]]\\n**[v1]**Tue, 7 Oct 2025 05:32:44 UTC (1,298 KB)\\nFull-text + links:## Access Paper:\\nView a PDF of the paper titled In-the-Flow Agentic + System Optimization for Effective Planning and Tool Use, by Zhuofeng Li and + 8 other authors\\n* [View PDF] \\n* [HTML (experimental)] \\n* [TeX Source] + \\n[![license icon] view license] \\nCurrent browse context:\\ncs.AI\\n[<<prev] + | [next>>] \\n[new] |[recent] |[2025-10] \\nChange to browse by:\\n[cs] + \\n[cs.CL] \\n[cs.LG] \\n[cs.MA] \\n### References & Citations\\n* [NASA + ADS] \\n* [Google Scholar] \\n* [Semantic Scholar] \\nexport BibTeX citationLoading...\\n## + BibTeX formatted citation\\n×\\nloading...\\nData provided by:\\n### + Bookmark\\n[![BibSonomy logo]] [![Reddit logo]] \\nBibliographic Tools\\n# + Bibliographic and Citation Tools\\nBibliographic Explorer Toggle\\nBibliographic + Explorer*([What is the Explorer?])*\\nConnected Papers Toggle\\nConnected + Papers*([What is Connected Papers?])*\\nLitmaps Toggle\\nLitmaps*([What is + Litmaps?])*\\nscite.ai Toggle\\nscite Smart Citations*([What are Smart Citations?])*\\nCode, + Data, Media\\n# Code, Data and Media Associated with this Article\\nalphaXiv + Toggle\\nalphaXiv*([What is alphaXiv?])*\\nLinks to Code Toggle\\nCatalyzeX + Code Finder for Papers*([What is CatalyzeX?])*\\nDagsHub Toggle\\nDagsHub*([What + is DagsHub?])*\\nGotitPub Toggle\\nGotit.pub*([What is GotitPub?])*\\nHuggingface + Toggle\\nHugging Face*([What is Huggingface?])*\\nLinks to Code Toggle\\nPapers + with Code*([What is Papers with Code?])*\\nScienceCast Toggle\\nScienceCast*([What + is ScienceCast?])*\\nDemos\\n# Demos\\nReplicate Toggle\\nReplicate*([What + is Replicate?])*\\nSpaces Toggle\\nHugging Face Spaces*([What is Spaces?])*\\nSpaces + Toggle\\nTXYZ.AI*([What is TXYZ.AI?])*\\nRelated Papers\\n# Recommenders and + Search Tools\\nLink to Influence Flower\\nInfluence Flower*([What are Influence + Flowers?])*\\nCore recommender toggle\\nCORE Recommender*([What is CORE?])*\\n* + Author\\n* Venue\\n* Institution\\n* Topic\\nAbout arXivLabs\\n# arXivLabs: + experimental projects with community collaborators\\narXivLabs is a framework + that allows collaborators to develop and share new arXiv features directly + on our website.\\nBoth individuals and organizations that work with arXivLabs + have embraced and accepted our values of openness, community, excellence, + and user data privacy. arXiv is committed to these values and only works with + partners that adhere to them.\\nHave an idea for a project that will add value + for arXiv's community?[**Learn more about arXivLabs**].\\n[Which authors of + this paper are endorsers?] |[Disable MathJax] ([What is MathJax?])\",\"image\":\"/static/browse/0.3.4/images/arxiv-logo-fb.png\",\"favicon\":\"https://arxiv.org/static/browse/0.3.4/images/icons/favicon-32x32.png\"},{\"id\":\"https://arxiv.org/abs/2509.06283\",\"title\":\"SFR-DeepResearch: + Towards Effective Reinforcement Learning for Autonomously Reasoning Single + Agents\",\"url\":\"https://arxiv.org/abs/2509.06283\",\"publishedDate\":\"2025-09-08T00:00:00.000Z\",\"author\":\"[Submitted + on 8 Sep 2025 (v1), last revised 9 Sep 2025 (this version, v2)]\",\"text\":\"[2509.06283] + SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously + Reasoning Single Agents\\n[Skip to main content] \\n[![Cornell University]] + \\nWe gratefully acknowledge support from the Simons Foundation,[member institutions], + and all contributors.[Donate] \\n[] \\n[![arxiv logo]] >[cs] >arXiv:2509.06283\\n[Help] + |[Advanced Search] \\nAll fieldsTitleAuthorAbstractCommentsJournal referenceACM + classificationMSC classificationReport numberarXiv identifierDOIORCIDarXiv + author IDHelp pagesFull text\\nSearch\\n[![arXiv logo]] \\n[![Cornell University + Logo]] \\nopen search\\nGO\\nopen navigation menu\\n# Computer Science \\\\> + Artificial Intelligence\\n**arXiv:2509.06283**(cs)\\n[Submitted on 8 Sep 2025 + ([v1]), last revised 9 Sep 2025 (this version, v2)]\\n# Title:SFR-DeepResearch: + Towards Effective Reinforcement Learning for Autonomously Reasoning Single + Agents\\nAuthors:[Xuan-Phi Nguyen],[Shrey Pandit],[Revanth Gangi Reddy],[Austin + Xu],[Silvio Savarese],[Caiming Xiong],[Shafiq Joty] \\nView a PDF of the paper + titled SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously + Reasoning Single Agents, by Xuan-Phi Nguyen and 6 other authors\\n[View PDF] + [HTML (experimental)] > > Abstract:\\n> Equipping large language models (LLMs) + with complex, interleaved reasoning and tool-use capabilities has become a + key focus in agentic AI research, especially with recent advances in reasoning-oriented + (``thinking'') models. Such capabilities are key to unlocking a number + of important applications. One such application is Deep Research (DR), which + requires extensive search and reasoning over many sources. Our work in this + paper focuses on the development of native Autonomous Single-Agent models + for DR featuring minimal web crawling and Python tool integration. Unlike + multi-agent systems, where agents take up pre-defined roles and are told what + to do at each step in a static workflow, an autonomous single-agent determines + its next action dynamically based on context, without manual directive. While + prior work has proposed training recipes for base or instruction-tuned LLMs, + we focus on continual reinforcement learning (RL) of reasoning-optimized models + to further enhance agentic skills while preserving reasoning ability. Towards + this end, we propose a simple RL recipe with entirely synthetic data, which + we apply to various open-source LLMs. Our best variant SFR-DR-20B achieves + up to 28.7% on Humanity's Last Exam benchmark. In addition, we conduct + key analysis experiments to provide more insights into our methodologies. + Comments:|Technical Report|\\nSubjects:|Artificial Intelligence (cs.AI); Computation + and Language (cs.CL)|\\nCite as:|[arXiv:2509.06283] [cs.AI]|\\n|(or[arXiv:2509.06283v2] + [cs.AI]for this version)|\\n|[https://doi.org/10.48550/arXiv.2509.06283] \\nFocus + to learn more\\narXiv-issued DOI via DataCite\\n|\\n## Submission history\\nFrom: + Xuan Phi Nguyen [[view email]]\\n**[[v1]] **Mon, 8 Sep 2025 02:07:09 UTC (1,377 + KB)\\n**[v2]**Tue, 9 Sep 2025 02:30:02 UTC (1,367 KB)\\nFull-text links:## + Access Paper:\\nView a PDF of the paper titled SFR-DeepResearch: Towards Effective + Reinforcement Learning for Autonomously Reasoning Single Agents, by Xuan-Phi + Nguyen and 6 other authors\\n* [View PDF] \\n* [HTML (experimental)] \\n* + [TeX Source] \\n[![license icon] view license] \\nCurrent browse context:\\ncs.AI\\n[<<prev] + | [next>>] \\n[new] |[recent] |[2025-09] \\nChange to browse by:\\n[cs] + \\n[cs.CL] \\n### References & Citations\\n* [NASA ADS] \\n* [Google Scholar] + \\n* [Semantic Scholar] \\nexport BibTeX citationLoading...\\n## BibTeX formatted + citation\\n×\\nloading...\\nData provided by:\\n### Bookmark\\n[![BibSonomy + logo]] [![Reddit logo]] \\nBibliographic Tools\\n# Bibliographic and Citation + Tools\\nBibliographic Explorer Toggle\\nBibliographic Explorer*([What is the + Explorer?])*\\nConnected Papers Toggle\\nConnected Papers*([What is Connected + Papers?])*\\nLitmaps Toggle\\nLitmaps*([What is Litmaps?])*\\nscite.ai Toggle\\nscite + Smart Citations*([What are Smart Citations?])*\\nCode, Data, Media\\n# Code, + Data and Media Associated with this Article\\nalphaXiv Toggle\\nalphaXiv*([What + is alphaXiv?])*\\nLinks to Code Toggle\\nCatalyzeX Code Finder for Papers*([What + is CatalyzeX?])*\\nDagsHub Toggle\\nDagsHub*([What is DagsHub?])*\\nGotitPub + Toggle\\nGotit.pub*([What is GotitPub?])*\\nHuggingface Toggle\\nHugging Face*([What + is Huggingface?])*\\nLinks to Code Toggle\\nPapers with Code*([What is Papers + with Code?])*\\nScienceCast Toggle\\nScienceCast*([What is ScienceCast?])*\\nDemos\\n# + Demos\\nReplicate Toggle\\nReplicate*([What is Replicate?])*\\nSpaces Toggle\\nHugging + Face Spaces*([What is Spaces?])*\\nSpaces Toggle\\nTXYZ.AI*([What is TXYZ.AI?])*\\nRelated + Papers\\n# Recommenders and Search Tools\\nLink to Influence Flower\\nInfluence + Flower*([What are Influence Flowers?])*\\nCore recommender toggle\\nCORE Recommender*([What + is CORE?])*\\n* Author\\n* Venue\\n* Institution\\n* Topic\\nAbout arXivLabs\\n# + arXivLabs: experimental projects with community collaborators\\narXivLabs + is a framework that allows collaborators to develop and share new arXiv features + directly on our website.\\nBoth individuals and organizations that work with + arXivLabs have embraced and accepted our values of openness, community, excellence, + and user data privacy. arXiv is committed to these values and only works with + partners that adhere to them.\\nHave an idea for a project that will add value + for arXiv's community?[**Learn more about arXivLabs**].\\n[Which authors of + this paper are endorsers?] |[Disable MathJax] ([What is MathJax?])\",\"image\":\"/static/browse/0.3.4/images/arxiv-logo-fb.png\",\"favicon\":\"https://arxiv.org/static/browse/0.3.4/images/icons/favicon-32x32.png\"},{\"id\":\"https://www.nature.com/articles/s41586-025-09761-x\",\"title\":\"Discovering + state-of-the-art reinforcement learning algorithms\",\"url\":\"https://www.nature.com/articles/s41586-025-09761-x\",\"publishedDate\":\"2025-10-22T00:00:00.000Z\",\"author\":\"Silver, + David\",\"text\":\"Discovering state-of-the-art reinforcement learning algorithms + | Nature\\n[Skip to main content] \\nThank you for visiting nature.com. You + are using a browser version with limited support for CSS. To obtain\\nthe + best experience, we recommend you use a more up to date browser (or turn off + compatibility mode in\\nInternet Explorer). In the meantime, to ensure continued + support, we are displaying the site without styles\\nand JavaScript.\\nAdvertisement\\n[![Nature]] + \\n* [View all journals] \\n* [Search] \\n* [Log in] \\n* [ContentExplore + content] \\n* [Aboutthe journal] \\n* [Publishwith us] \\n* [Sign up for alerts] + \\n* [RSS feed] \\nDiscovering state-of-the-art reinforcement learning algorithms\\n[Download + PDF] \\n[Download PDF] \\n* Article\\n* [Open access] \\n* Published:22 October + 2025# Discovering state-of-the-art reinforcement learning algorithms\\n* [Junhyuk + Oh] [ORCID:orcid.org/0000-0003-4383-6396] [1] [na1],\\n* [Gregory Farquhar] + [1] [na1],\\n* [Iurii Kemaev] [ORCID:orcid.org/0009-0006-6804-5936] [1] [na1],\\n* + [Dan A. Calian] [ORCID:orcid.org/0000-0001-7283-5670] [1] [na1],\\n* [Matteo + Hessel] [ORCID:orcid.org/0009-0006-9946-4375] [1],\\n* [Luisa Zintgraf] [ORCID:orcid.org/0009-0003-5864-7632] + [1],\\n* [Satinder Singh] [1],\\n* [Hado van Hasselt] [1] &\\n* \u2026* + [David Silver] [ORCID:orcid.org/0000-0002-5197-2892] [1] Show authors\\n[*Nature*] + **volume648**,pages312\u2013319 (2025)[Cite this article] \\n* 75kAccesses\\n* + 1Citations\\n* 250Altmetric\\n* [Metricsdetails] \\n### Subjects\\n* [Computational + science] \\n* [Computer science] \\n## Abstract\\nHumans and other animals + use powerful reinforcement learning (RL) mechanisms that have been discovered + by evolution over many generations of trial and error. By contrast, artificial + agents typically learn using handcrafted learning rules. Despite decades of + interest, the goal of autonomously discovering powerful RL algorithms has + proven to be elusive[1],[2],[3],[4],[5],[6]. Here we show that it is possible + for machines to discover a state-of-the-art RL rule that outperforms manually + designed rules. This was achieved by meta-learning from the cumulative experiences + of a population of agents across a large number of complex environments. Specifically, + our method discovers the RL rule by which the agent\u2019s policy and predictions + are updated. In our large-scale experiments, the discovered rule surpassed + all existing rules on the well-established Atari benchmark and outperformed + a number of state-of-the-art RL algorithms on challenging benchmarks that + it had not seen during discovery. Our findings suggest that the RL algorithms + required for advanced artificial intelligence may soon be automatically discovered + from the experiences of agents, rather than manually designed.\\n### Similar + content being viewed by others\\n![] \\n### [DeepSeek-R1 incentivizes reasoning + in LLMs through reinforcement learning] \\nArticleOpen access17 September + 2025\\n![] \\n### [An adaptable and personalized framework for top-N course + recommendations in online learning] \\nArticleOpen access06 May 2024\\n![] + \\n### [Competitive swarm reinforcement learning improves stability and performance + of deep reinforcement learning] \\nArticleOpen access11 December 2025\\n## + Main\\nThe primary goal of artificial intelligence is to design agents that, + like humans, can predict and act in complex environments to achieve goals. + Many of the most successful agents are based on reinforcement learning (RL), + in which agents learn by interacting with environments. Decades of research + have produced ever more efficient RL algorithms, resulting in numerous landmarks + in artificial intelligence, including the mastery of complex competitive games + such as Go[7], chess[8],*StarCraft*[9] and*Minecraft*[10], the invention of + new mathematical tools[11], or the control of complex physical systems[12].\\nUnlike + humans, whose learning mechanism has been naturally discovered by biological + evolution, RL algorithms are typically manually designed. This is usually + slow and laborious, and limited by reliance on human knowledge and intuition. + Although a number of attempts have been made to automatically discover learning + algorithms[1],[2],[3],[4],[5],[6], none have proven to be sufficiently efficient + and general to replace hand-designed RL systems.\\nIn this work, we introduce + an autonomous method for discovering RL rules solely through the experience + of many generations of agents interacting with various environments (Fig.[1a]). + The discovered RL rule achieves state-of-the-art performance on a variety + of challenging RL benchmarks. The success of our method contrasts previous + work in two dimensions. First, whereas previous methods searched over narrow + spaces of RL rules (for example, hyperparameters[13],[14] or policy loss[1],[6]), + our method allows the agent to explore a far more expressive space of potential + RL rules. Second, whereas previous work focused on meta-learning in simple + environments (for example, grid-worlds[3],[15]), our method meta-learns in + complex and diverse environments at a much larger scale.\\n**Fig. 1: Discovering + an RL rule from a population of agents.**\\n[![figure 1]] \\n**a**, Discovery. + Multiple agents, interacting with various environments, are trained in parallel + according to the learning rule, defined by the meta-network. In the meantime, + the meta-network is optimized to improve the agents\u2019 collective performances.**b**, + Agent architecture. An agent produces the following outputs: (1) a policy(**\u03C0**), + (2) an observation-conditioned prediction vector(**y**), (3) action-conditioned + prediction vectors(**z**), (4) action values(**q**) and (5) an auxiliary policy + prediction(**p**). The semantics of**y**and**z**are determined by the meta-network.**c**, + Meta-network architecture. A trajectory of the agent\u2019s outputs is given + as input to the meta-network, together with rewards and episode termination + indicators from the environment (omitted for simplicity in the figure). Using + this information, the meta-network produces targets for all of the agent\u2019s + predictions from the current and future time steps. The agent is updated to + minimize the prediction errors with respect to their targets. LSTM, long short-term + memory.**d**, Meta-optimization. The meta-parameters of the meta-network are + updated by taking a meta-gradient step calculated from backpropagation through + the agent\u2019s update process (*\u03B8*0\u2192*\u03B8**N*), where the meta-objective + isto maximize the collective returns of the agents in their environments.\\n[Full + size image] \\nTo choose a general space of discovery, we observe that the + essential component of standard RL algorithms is a rule that updates one or + more predictions, as well as the policy itself, towards targets that are functions + of quantities such as future rewards and future predictions. Examples of RL + rules based on different targets include temporal-difference learning[16],*Q*-learning[17], + proximal policy optimization (PPO)[18], auxiliary tasks[19], successor features[20] + and distributional RL[21]. In each case, the choice of target determines the + nature of the predictions, for example, whether they become value functions, + models or successor features.\\nIn our framework, an RL rule is represented + by a meta-network that determines the targets towards which the agent should + move its predictions and policy (Fig.[1c]). This allows the system to discover + useful predictions without pre-defined semantics, as well as how they are + used. The system may in principle rediscover past RL rules, but the flexible + functional form also allows the agent to invent new RL rules that may be specifically + adapted to environments of interest.\\nDuring the discovery process, we instantiate + a population of agents, each of which interacts with its own instance of an + environment taken from a diverse set of challenging tasks. Each agent\u2019s + parameters are updated according to the current RL rule. We then use the meta-gradient + method[13] to incrementally improve the RL rule such that it could lead to + better-performing agents.\\nOur large-scale empirical results show that our + discovered RL rule, which we call DiscoRL, surpasses all existing RL rules + on the environments in which it was meta-learned. Notably, this includes Atari + games[22], arguably the most established and informative of RL benchmarks. + Furthermore, DiscoRL achieved state-of-the-art performance on a number of + other challenging benchmarks, such as ProcGen[23], that it had never been + exposed to during discovery. We also show that the performance and generality + of DiscoRL improves further as more diverse and complex environments are used + in discovery. Finally, our analysis shows that DiscoRL has discovered unique + prediction semantics that are distinct from existing RL concepts such as value + functions. To the best of our knowledge, this is the empirical evidence that + surpassing manually designed RL algorithms in terms of both generality and + efficiency is finally within reach.\\n## Discovery method\\nOur discovery + approach involves two types of optimization: agent optimization and meta-optimization. + Agent parameters are optimized by updating their policies and predictions + towards the targets produced by the RL rule. Meanwhile, the meta-parameters\",\"image\":\"https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41586-025-09761-x/MediaObjects/41586_2025_9761_Fig1_HTML.png\",\"favicon\":\"https://www.nature.com/static/images/favicons/nature/favicon-32x32-3fe59ece92.png\"},{\"id\":\"https://arxiv.org/abs/2502.07056\",\"title\":\"Autonomous + Deep Agent\",\"url\":\"https://arxiv.org/abs/2502.07056\",\"publishedDate\":\"2025-02-10T00:00:00.000Z\",\"author\":\"[Submitted + on 10 Feb 2025]\",\"text\":\"[2502.07056] Autonomous Deep Agent\\n[Skip to + main content] \\n[![Cornell University]] \\nWe gratefully acknowledge support + from the Simons Foundation,[member institutions], and all contributors.[Donate] + \\n[] \\n[![arxiv logo]] >[cs] >arXiv:2502.07056\\n[Help] |[Advanced + Search] \\nAll fieldsTitleAuthorAbstractCommentsJournal referenceACM classificationMSC + classificationReport numberarXiv identifierDOIORCIDarXiv author IDHelp pagesFull + text\\nSearch\\n[![arXiv logo]] \\n[![Cornell University Logo]] \\nopen search\\nGO\\nopen + navigation menu\\n# Computer Science \\\\> Artificial Intelligence\\n**arXiv:2502.07056**(cs)\\n[Submitted + on 10 Feb 2025]\\n# Title:Autonomous Deep Agent\\nAuthors:[Amy Yu],[Erik Lebedev],[Lincoln + Everett],[Xiaoxin Chen],[Terry Chen] \\nView a PDF of the paper titled Autonomous + Deep Agent, by Amy Yu and 3 other authors\\n[View PDF] [HTML (experimental)] + > > Abstract:\\n> This technical brief introduces Deep Agent, an advanced + autonomous AI system designed to manage complex multi-phase tasks through + a novel hierarchical task management architecture. The system's foundation + is built on our Hierarchical Task DAG (HTDAG) framework, which dynamically + decomposes high-level objectives into manageable sub-tasks while rigorously + maintaining dependencies and execution coherence. Deep Agent advances beyond + traditional agent systems through three key innovations: First, it implements + a recursive two-stage planner-executor architecture that enables continuous + task refinement and adaptation as circumstances change. Second, it features + an Autonomous API & Tool Creation (AATC) system that automatically generates + reusable components from UI interactions, substantially reducing operational + costs for similar tasks. Third, it incorporates Prompt Tweaking Engine and + Autonomous Prompt Feedback Learning components that optimize Large Language + Model prompts for specific scenarios, enhancing both inference accuracy and + operational stability. These components are integrated to form a service infrastructure + that manages user contexts, handles complex task dependencies, and orchestrates + end-to-end agentic workflow execution. Through this sophisticated architecture, + Deep Agent establishes a novel paradigm in self-governing AI systems, demonstrating + robust capability to independently handle intricate, multi-step tasks while + maintaining consistent efficiency and reliability through continuous self-optimization. + Subjects:|Artificial Intelligence (cs.AI); Machine Learning (cs.LG)|\\nACMclasses:|I.2.6; + I.2.7|\\nCite as:|[arXiv:2502.07056] [cs.AI]|\\n|(or[arXiv:2502.07056v1] [cs.AI]for + this version)|\\n|[https://doi.org/10.48550/arXiv.2502.07056] \\nFocus to + learn more\\narXiv-issued DOI via DataCite\\n|\\n## Submission history\\nFrom: + Amy Yu [[view email]]\\n**[v1]**Mon, 10 Feb 2025 21:46:54 UTC (2,085 KB)\\nFull-text + links:## Access Paper:\\nView a PDF of the paper titled Autonomous Deep Agent, + by Amy Yu and 3 other authors\\n* [View PDF] \\n* [HTML (experimental)] \\n* + [TeX Source] \\n[![license icon] view license] \\nCurrent browse context:\\ncs.AI\\n[<<prev] + | [next>>] \\n[new] |[recent] |[2025-02] \\nChange to browse by:\\n[cs] + \\n[cs.LG] \\n### References & Citations\\n* [NASA ADS] \\n* [Google Scholar] + \\n* [Semantic Scholar] \\nexport BibTeX citationLoading...\\n## BibTeX formatted + citation\\n×\\nloading...\\nData provided by:\\n### Bookmark\\n[![BibSonomy + logo]] [![Reddit logo]] \\nBibliographic Tools\\n# Bibliographic and Citation + Tools\\nBibliographic Explorer Toggle\\nBibliographic Explorer*([What is the + Explorer?])*\\nConnected Papers Toggle\\nConnected Papers*([What is Connected + Papers?])*\\nLitmaps Toggle\\nLitmaps*([What is Litmaps?])*\\nscite.ai Toggle\\nscite + Smart Citations*([What are Smart Citations?])*\\nCode, Data, Media\\n# Code, + Data and Media Associated with this Article\\nalphaXiv Toggle\\nalphaXiv*([What + is alphaXiv?])*\\nLinks to Code Toggle\\nCatalyzeX Code Finder for Papers*([What + is CatalyzeX?])*\\nDagsHub Toggle\\nDagsHub*([What is DagsHub?])*\\nGotitPub + Toggle\\nGotit.pub*([What is GotitPub?])*\\nHuggingface Toggle\\nHugging Face*([What + is Huggingface?])*\\nLinks to Code Toggle\\nPapers with Code*([What is Papers + with Code?])*\\nScienceCast Toggle\\nScienceCast*([What is ScienceCast?])*\\nDemos\\n# + Demos\\nReplicate Toggle\\nReplicate*([What is Replicate?])*\\nSpaces Toggle\\nHugging + Face Spaces*([What is Spaces?])*\\nSpaces Toggle\\nTXYZ.AI*([What is TXYZ.AI?])*\\nRelated + Papers\\n# Recommenders and Search Tools\\nLink to Influence Flower\\nInfluence + Flower*([What are Influence Flowers?])*\\nCore recommender toggle\\nCORE Recommender*([What + is CORE?])*\\n* Author\\n* Venue\\n* Institution\\n* Topic\\nAbout arXivLabs\\n# + arXivLabs: experimental projects with community collaborators\\narXivLabs + is a framework that allows collaborators to develop and share new arXiv features + directly on our website.\\nBoth individuals and organizations that work with + arXivLabs have embraced and accepted our values of openness, community, excellence, + and user data privacy. arXiv is committed to these values and only works with + partners that adhere to them.\\nHave an idea for a project that will add value + for arXiv's community?[**Learn more about arXivLabs**].\\n[Which authors of + this paper are endorsers?] |[Disable MathJax] ([What is MathJax?])\",\"image\":\"/static/browse/0.3.4/images/arxiv-logo-fb.png\",\"favicon\":\"https://arxiv.org/static/browse/0.3.4/images/icons/favicon-32x32.png\"}],\"searchTime\":1142.6,\"costDollars\":{\"total\":0.015,\"search\":{\"neural\":0.005},\"contents\":{\"text\":0.01}}}" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json; charset=utf-8 + Date: + - Wed, 11 Feb 2026 01:02:58 GMT + Nel: + - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}' + Report-To: + - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=bP3hn6fXXfag5WoMKjQEYaUA%2BOevIGpJf31wrWPdaBFxFDwm8ngL3m8mpfKqyFTfJQXzVKYUJnt9Y%2FRqC09Z0y1OC463pxy8tg%3D%3D"}]}' + Server: + - cloudflare + Transfer-Encoding: + - chunked + access-control-allow-credentials: + - 'true' + cf-cache-status: + - DYNAMIC + content-security-policy: + - CSP-FILTERED + cross-origin-opener-policy: + - same-origin + cross-origin-resource-policy: + - same-origin + etag: + - ETAG-XXX + origin-agent-cluster: + - ?1 + referrer-policy: + - REFERRER-POLICY-XXX + strict-transport-security: + - STS-XXX + vary: + - Origin + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-dns-prefetch-control: + - 'off' + x-download-options: + - noopen + x-frame-options: + - X-FRAME-OPTIONS-XXX + x-permitted-cross-domain-policies: + - X-PERMITTED-XXX + x-ratelimit-limit: + - '450' + x-ratelimit-remaining: + - '405' + x-ratelimit-reset: + - '1770771778' + x-xss-protection: + - X-XSS-PROTECTION-XXX + status: + code: 200 + message: OK +- request: + body: "{\"messages\":[{\"role\":\"system\",\"content\":\"You are Research Analyst. + You are a research analyst who searches the web for information, identifies + key findings, and produces structured research summaries.\\n\\nYour goal: Research + topics using search tools and produce structured summaries\\n\\nYou are executing + a specific step in a multi-step plan. Focus ONLY on completing\\nthe current + step. Do not plan ahead or worry about future steps.\\n\\nBefore acting, briefly + reason about what you need to do and which approach\\nor tool would be most + helpful for this specific step.\"},{\"role\":\"user\",\"content\":\"## Current + Step\\nResearch recent developments in autonomous AI agents in 2025.\\n\\nSuggested + tool: exa_search_tool\\n\\nComplete this step and provide your result.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_Ac1k27YrIaOck8WKPYMdmSHL\",\"type\":\"function\",\"function\":{\"name\":\"exa_search_tool\",\"arguments\":\"{\\\"search_query\\\":\\\"recent + developments in autonomous AI agents 2025\\\",\\\"start_published_date\\\":\\\"2025-01-01\\\",\\\"end_published_date\\\":\\\"2025-12-31\\\",\\\"include_domains\\\":[]}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_Ac1k27YrIaOck8WKPYMdmSHL\",\"name\":\"exa_search_tool\",\"content\":\"Title: + AI agents arrived in 2025 \u2013 here's what happened and the ...\\nURL: https://theconversation.com/ai-agents-arrived-in-2025-heres-what-happened-and-the-challenges-ahead-in-2026-272325\\nID: + https://theconversation.com/ai-agents-arrived-in-2025-heres-what-happened-and-the-challenges-ahead-in-2026-272325\\nScore: + None\\nPublished Date: 2025-12-29T00:00:00.000Z\\nAuthor: Thomas \u015Eerban + von Davier\\nImage: https://images.theconversation.com/files/709953/original/file-20251219-66-te6uyi.jpg?ixlib=rb-4.1.0&rect=0%2C250%2C8000%2C4000&q=45&auto=format&w=1356&h=668&fit=crop\\nFavicon: + https://cdn.theconversation.com/static/tc/logos/web-app-logo-192x192-2d05bdd6de6328146de80245d4685946.png\\nExtras: + None\\nSubpages: None\\nText: AI agents arrived in 2025 \u2013here\u2019s what + happened and the challenges ahead in 2026\\n[] [] \\n[![The Conversation]] \\nAcademic + rigour, journalistic flair\\n![a couple dozen robot face emojis floating between + two human hands] \\nAI agents have emerged from the lab, bringing promise and + peril.[tadamichi/iStock via Getty Images] \\n# **AI agents arrived in 2025 \u2013here\u2019s + what happened and the challenges ahead in2026**\\nPublished: December 29, 2025 + 4.35pm CET\\n[****Thomas \u015Eerban von Davier,*Carnegie Mellon University*] + \\n### Author\\n1. [![] Thomas \u015Eerban von Davier] \\nAffiliated Faculty + Member, Carnegie Mellon Institute for Strategy and Technology, Carnegie Mellon + University\\n### Disclosure statement\\nThomas \u015Eerban von Davier does not + work for, consult, own shares in or receive funding from any company or organisation + that would benefit from this article, and has disclosed no relevant affiliations + beyond their academic appointment.\\n### Partners\\n[] \\n[Carnegie Mellon University] + provides funding as a member of The Conversation US.\\n[View all partners] \\n### + DOI\\n[https://doi.org/10.64628/AAI.maxh7d4en] \\nhttps://theconversation.com/ai-agents-arrived-in-2025-heres-what-happened-and-the-challenges-ahead-in-2026-272325\\nhttps://theconversation.com/ai-agents-arrived-in-2025-heres-what-happened-and-the-challenges-ahead-in-2026-272325\\nLink + copied\\nShare article\\nShare article\\nCopy link[Email] \\n[Bluesky] [Facebook] + [WhatsApp] [Messenger] [LinkedIn] [X (Twitter)] \\nPrint article\\nIn artificial + intelligence, 2025 marked a decisive shift. Systems once confined to research + labs and prototypes began to appear as everyday tools. At the center of this + transition was the rise of AI agents \u2013AI systems that can use other software + tools and act on their own.\\nWhile researchers have studied AI for more than + 60 years, and the term \u201Cagent\u201D has long been part of the field\u2019s + vocabulary, 2025 was the year the concept became concrete for developers and + consumers alike.\\nAI agents moved from theory to infrastructure, reshaping + how people interact with large language models, the systems that power chatbots + like ChatGPT.\\nIn 2025, the definition of AI agent shifted from the[academic + framing] of systems that perceive, reason and act to AI company[Anthropic\u2019s + description] of large language models that are capable of using software tools + and taking autonomous action. While large language models have long excelled + at text-based responses, the recent change is their expanding capacity to act, + using tools, calling[APIs], coordinating with other systems and completing tasks + independently.\\nThis shift did not happen overnight. A key inflection point + came in late 2024, when Anthropic released the[Model Context Protocol]. The + protocol allowed developers to connect large language models to external tools + in a standardized way, effectively giving models the ability to act beyond generating + text. With that, the stage was set for 2025 to become the year of AI agents.\\n[![Embedded + YouTube video]] \\nAI agents are a whole new ballgame compared with generative + AI.## The milestones that defined 2025\\nThe momentum accelerated quickly. In + January, the release of Chinese model[DeepSeek-R1] as an[open-weight] model + disrupted assumptions about who could build high-performing large language models, + briefly rattling markets and intensifying global competition. An open-weight + model is an AI model whose training, reflected in values called weights, is + publicly available. Throughout 2025, major U.S. labs such as[OpenAI],[Anthropic],[Google] + and[xAI] released larger, high-performance models, while Chinese tech companies + including[Alibaba],[Tencent], and[DeepSeek] expanded the open-model ecosystem + to the point where the Chinese models have been[downloaded more than American + models].\\n##### Another turning point came in April, when Google introduced + its[Agent2Agent protocol]. While Anthropic\u2019s Model Context Protocol focused + on how agents use tools, Agent2Agent addressed how agents communicate with each + other. Crucially, the two protocols were designed to work together. Later in + the year, both[Anthropic] and[Google] donated their protocols to the open-source + software nonprofit Linux Foundation, cementing them as open standards rather + than proprietary experiments.\\nThese developments quickly found their way into + consumer products. By mid-2025, \u201Cagentic browsers\u201D began to appear. + Tools such as[Perplexity\u2019s Comet],[Browser Company\u2019s Dia],[OpenAI\u2019s + GPT Atlas],[Copilot in Microsoft\u2019s Edge],[ASI X Inc.\u2019s Fellou],[MainFunc.ai\u2019s + Genspark],[Opera\u2019s Opera Neon] and others reframed the browser as an active + participant rather than a passive interface. For example, rather than helping + you search for vacation details, it plays a part in booking the vacation.\\nAt + the same time, workflow builders like[n8n] and[Google\u2019s Antigravity] lowered + the technical barrier for creating custom agent systems beyond what has already + happened with coding agents like[Cursor] and[GitHub Copilot].\\n## New power, + new risks\\nAs agents became more capable, their risks became harder to ignore. + In November, Anthropic disclosed how its Claude Code agent[had been misused] + to automate parts of a cyberattack. The incident illustrated a broader concern: + By automating repetitive, technical work, AI agents can also lower the barrier + for malicious activity.\\nThis tension defined much of 2025. AI agents expanded + what individuals and organizations could do, but they also[amplified existing + vulnerabilities]. Systems that were once isolated text generators became interconnected, + tool-using actors operating with little human oversight.\\n[![Embedded YouTube + video]] \\nThe business community is gearing up for multiagent systems.## What + to watch for in 2026\\nLooking ahead, several open questions are likely to shape + the next phase of AI agents.\\nOne is benchmarks. Traditional benchmarks, which + are like a structured exam with a series of questions and standardized scoring, + work well for single models, but[agents are composite systems] made up of models, + tools, memory and decision logic. Researchers increasingly want to evaluate[not + just outcomes, but processes]. This would be like asking students to show their + work, not just provide an answer.\\nProgress here will be critical for improving + reliability and trust, and ensuring that an AI agent will perform the task at + hand. One method is establishing clear definitions around[AI agents and AI workflows]. + Organizations will need to map out exactly where AI will[integrate into workflows + or introduce new ones].\\nAnother development to watch is governance. In late + 2025, the Linux Foundation announced the creation of the[Agentic AI Foundation], + signaling an effort to establish shared standards and best practices. If successful, + it could play a role like the[World Wide Web Consortium] in shaping an open, + interoperable agent ecosystem.\\nThere is also a growing debate over model size. + While large, general-purpose models dominate headlines, smaller and more specialized + models are often[better suited to specific tasks]. As agents become configurable + consumer and business tools, whether through browsers or workflow management + software, the power to choose the right model increasingly shifts to users rather + than labs or corporations.\\n## The challenges ahead\\nDespite the optimism, + significant socio-technical challenges remain. Expanding data center infrastructure[strains + energy grids] and affects local communities. In workplaces, agents raise concerns + about automation,[job displacement] and surveillance.\\nFrom a security perspective, + connecting models to tools and stacking agents together[multiplies risks] that + are already unresolved in standalone large language models. Specifically, AI + practitioners are addressing the dangers of[indirect prompt injections], where + prompts are hidden in open web spaces that are readable by AI agents and result + in harmful or unintended actions.\\nRegulation is another unresolved issue. + Compared with[Europe] and[China], the United States has relatively limited oversight + of algorithmic systems. As AI agents become embedded across digital life, questions + about access, accountability and limits remain largely unanswered.\\nMeeting + these challenges will require more than technical breakthroughs. It demands[rigorous + engineering practices], careful design and clear documentation of how systems + work and fail. Only by treating AI agents as socio-technical systems rather + than mere software components, I believe, can we build an AI ecosystem that + is both innovative and safe.\\n**\\n* [Artificial intelligence (AI)] \\n* [Google] + \\n* [Technology] \\n* [OpenAI] \\n* [Anthropic] \\n* [AI safety] \\n* [AI agents] + \\n### Events\\n[More events] \\n### Jobs\\n* ##### [Engagement Coordinator + and Event Producer] \\n* ##### [Deputy Editor] \\n* ##### [Director of Professional + Development] \\n* ##### [University Librarian] \\n* ##### [Video Commissioning + Editor] \\n[More jobs]\\nSummary: None\\n\\n\\nTitle: What are Autonomous AI + Agents? A Complete Guide 2025\\nURL: https://kodexolabs.com/what-are-autonomous-ai-agents/\\nID: + https://kodexolabs.com/what-are-autonomous-ai-agents/\\nScore: None\\nPublished + Date: 2025-07-31T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/07/What-Are-Autonomous-AI-Agents-A-Complete-Guide-for-2025.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: What are Autonomous AI Agents? A Complete Guide + 2025[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# What Are Autonomous AI Agents? A Complete Guide for + 2025 and Beyond\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Introduction] \\n3. [What Are Autonomous AI Agents? Understanding + the Fundamentals] \\n* [What Makes an AI Agent Autonomous?] \\n* * [Autonomous + Agents vs Traditional AI Systems] \\n* * [Key Characteristics of Modern Autonomous + Agents] \\n* [How Do Autonomous AI Agents Work? Technical Architecture Explained] + \\n* [Core Components of Autonomous AI Systems] \\n* * [Types of Autonomous + Agents by Intelligence Level] \\n* * [Machine Learning Integration in Agent + Architecture] \\n* [Autonomous AI Agents 2025: Latest Developments and Technical + Advancements] \\n* [Recent Developments in Autonomous AI Agents 2025] \\n* * + [Top Technical Advancements Shaping 2025] \\n* * [Fully Autonomous AI Agents: + What's Now Possible in 2025] \\n* [Best Autonomous AI Agents Examples and + Real-World Applications] \\n* [Top Consumer Autonomous AI Agents] \\n* * [Enterprise + and Business Applications] \\n* * [Emerging Application Areas in 2025] \\n* + * [Performance Metrics and Success Stories] \\n* [The Role of Autonomous AI + Agents in Business and Industry Impact] \\n* [How Autonomous AI Agents Will + Impact Industries in 2025] \\n* * [Salesforce Autonomous Agents and CRM Integration] + \\n* * [Autonomous Agents Market Growth and Opportunities] \\n* * [Customer + Service Revolution Through AI Agents] \\n* [How to Build Autonomous AI Agents: + Development and Implementation Guide] \\n* [Essential Steps for Building Autonomous + AI Agents] \\n* * [Best Use Cases for Autonomous AI Agents] \\n* * [AI Agent + Automation for Startups in 2025] \\n* * [Integration with External Tools and + Systems] \\n* * [Development Challenges and Solutions] \\n* [Autonomous AI Agents + vs Traditional Systems: A Comprehensive Comparison] \\n* [Comparison of Autonomous + AI Agents 2025 vs Previous Generations] \\n* * [Most Advanced Autonomous AI + Agents 2025: Market Leaders] \\n* * [Human Workers vs Autonomous AI Agents: + Collaborative Future] \\n* * [Evolution from Reactive to Autonomous Systems] + \\n* [Future of Autonomous AI Agents: Trends and Predictions for 2025 and Beyond] + \\n* [How Autonomous AI Agents Are Shaping the Future] \\n* * [Top Trends in + Autonomous AI Agents 2025] \\n* * [What to Expect from Autonomous AI Agents + in the Future] \\n* * [Autonomous AI Agents in 2025 and Beyond: Technology Roadmap] + \\n* * [Challenges and Opportunities Ahead] \\n* [Geographic Trends and Regional + Variations in Autonomous AI Agent Adoption] \\n* [Factors Influencing Regional + Differences] \\n* * [Comparison of Regional Trends] \\n* * [Regional Market + Opportunities] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What are autonomous AI agents and how do they differ from regular AI?] + \\n* * [How can autonomous AI agents be used in business in 2025?] \\n* * [What + makes an AI agent truly autonomous?] \\n* * [What are the best examples of autonomous + AI agents available today?] \\n* * [How do I build autonomous AI agents for + my startup?] \\n* [Conclusion:] \\n* [Related Blogs] \\n## Share This Article\\n![Illustration + of an autonomous AI agent symbolizing the advancements and potential of AI agents + in 2025.] ## Introduction\\nAccording to recent research, the global autonomous + AI agents market is projected to reach[$9.9 billion in 2025] and is anticipated + to grow significantly to[$253.3 billion by 2034], registering a strong CAGR + of43.4%during the forecast period. This explosive growth is driven by rapid + enterprise adoption, continuous advancements in artificial intelligence, and + the expansion of automation across diverse industries. North America is expected + to command the largest market share in 2025, holding about 40.7% of the global + market.\\nThis comprehensive guide explores autonomous AI agents’ fundamentals, + applications, and 2025 developments, providing essential insights for businesses, + developers, and decision-makers navigating AI transformation.\\n## What Are + Autonomous AI Agents? Understanding the Fundamentals\\nAutonomous AI agents + are self-governing systems that operate independently without constant human + intervention, making decisions and taking actions to achieve specific goals + using machine learning and environmental awareness.\\n[Autonomous AI agents] + represent a significant leap forward from traditional AI systems. Unlike conventional + artificial intelligence that requires explicit programming for every scenario, + autonomous agents possess the capability to learn, adapt, and make independent + decisions based on their environment and objectives. These systems combine[machine + learning], natural language processing, and real-time data analysis to create + intelligent entities that can operate with minimal human oversight.\\n**For + example:**Learners today can[learn French with Langua’s AI platform], + which uses these same principles to personalize instruction, track progress, + and respond dynamically to the user\u2019s input mirroring how autonomous agents + behave in complex business environments.\\nThe key distinction lies in their + autonomy \u2013the ability to perceive their environment, process information, + make decisions, and execute actions without waiting for human commands. This + independence makes them particularly valuable for businesses seeking to automate + complex processes, improve operational efficiency, and provide consistent service + delivery around the clock.\\n#####\\nSummary: None\\n\\n\\nTitle: AI Agent in + 2025: How Autonomous Agents Redefine Workflows\\nURL: https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\\nID: + https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\\nScore: + None\\nPublished Date: 2025-09-23T00:00:00.000Z\\nAuthor: Amer Wilson\\nImage: + https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-26.png\\nFavicon: + https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\\nExtras: + None\\nSubpages: None\\nText: AI Agent in 2025: How Autonomous Agents Redefine + Workflows\\n[] \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration + Solutions] \\n* [Salesforce Integration Services] \\n* [Database Migration Services] + \\n* [Implementation Services] \\n* [Comprehensive Training Services] \\n* [Support + & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] \\n* + [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization and + Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting + Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry + Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration + Solutions] \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] + \\n* [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] + \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n**\\nContact us\\n[] + [] \\n# AI Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* + [Your Partner in CRM, Custom Software & AI Solutions] \\n* [Blog] \\n* AI + Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* **September + 23, 2025\\n* **By[Amer Wilson] \\n* **[Blog] \\n## The Future of Smarter Workflows\\nThe + year 2025 is a defining moment for[AI agents]. They\u2019ve moved far beyond + experimental use.\\nToday, AI-powered agents handle critical business tasks, + manage data, and automate complex workflows. What was once a futuristic idea + is now a practical reality. Autonomous AI agents are revolutionizing the way + businesses operate.\\nThese tools offer speed, accuracy, and scalability. Companies + adopting AI workflow automation are setting new standards for efficiency.\\nLet\u2019s + dive into why AI agent use cases are becoming central to modern business operations.\\n## + Why Businesses Can\u2019t Ignore AI Agents Anymore\\nThe simple answer: efficiency. + AI agents streamline repetitive tasks that consume time and resources.\\nMistakes + in manual processes can be costly. AI-powered agents complete tasks with consistent + accuracy. Scalability is another driver. Humans can multitask, but autonomous + AI agents handle hundreds of tasks simultaneously.\\nThis power enables rapid + growth, particularly in industries such as healthcare,[finance], and e-commerce.\\nMore + importantly, automation frees employees from routine work. With AI workflow + automation, they focus on creativity and strategy.\\nThe benefits are clear: + better results, reduced costs, and faster operations. Businesses can\u2019t + afford to ignore them.\\n## AI Agents Explained: What They Really Do in 2025\\nSo, + what exactly is an AI agent? At its core, it\u2019s a digital decision-maker.\\nUnlike + traditional bots, autonomous AI agents don\u2019t just follow commands. They + learn, adapt, and improve. They integrate with systems like[CRM] s, ERPs, and + analytics platforms. This makes AI workflow automation seamless.\\nFor instance, + a customer service AI agent can analyze past cases and resolve issues faster.\\nIn + finance, AI-powered agents detect fraud by spotting unusual transaction patterns + in real-time.\\nSome popular AI agent use cases include HR onboarding, lead + qualification, inventory monitoring, and IT helpdesk support.\\nWherever there\u2019s + repetitive, data-heavy work, autonomous AI agents are stepping in.\\n## What\u2019s + New with Autonomous AI Agents in 2025\\nSeveral advancements are expected to + enhance the capabilities of AI agents in 2025.\\nFirst, natural language capabilities + have evolved. Teams interact with AI-powered agents using plain English commands.\\nSecond, + cross-platform integration is seamless. Autonomous AI agents seamlessly integrate + CRMs, ERPs, and communication apps. For example, an AI agent can fetch customer + data, update invoices, and send email alerts instantly.\\nThird, compliance + and security features have matured. Companies trust the best AI agent tools + with sensitive data.\\nFourth, predictive insights are now standard. AI agents + forecast outcomes and suggest smarter actions.\\nFinally, the user experience + has improved dramatically. Drag-and-drop builders simplify the design of AI + workflow automation.\\nTogether, these innovations make autonomous AI agents + indispensable\\nSummary: None\\n\\n\\nTitle: Building the Future: Your Guide + to Autonomous AI Agents in 2025\\nURL: https://medium.com/@Micheal-Lanham/building-the-future-your-guide-to-autonomous-ai-agents-in-2025-fb690ebc1caa\\nID: + https://medium.com/@Micheal-Lanham/building-the-future-your-guide-to-autonomous-ai-agents-in-2025-fb690ebc1caa\\nScore: + None\\nPublished Date: 2025-10-07T00:00:00.000Z\\nAuthor: Micheal Lanham\\nImage: + https://miro.medium.com/v2/resize:fit:1200/1*orODpE7gJtEgr4GSvPXtYw.png\\nFavicon: + https://miro.medium.com/v2/5d8de952517e8160e40ef9841c781cdc14a5db313057fa3c3de41c6f5b494b19\\nExtras: + None\\nSubpages: None\\nText: Building the Future: Your Guide to Autonomous + AI Agents in 2025 | by Micheal Lanham | Medium\\n[Sitemap] \\n[Open in app] + \\nSign up\\n[Sign in] \\n[Medium Logo] \\n[\\nWrite\\n] \\n[\\nSearch\\n] \\nSign + up\\n[Sign in] \\n![] \\nMember-only story\\n# Building the Future: Your Guide + to Autonomous AI Agents in 2025\\n[\\n![Micheal Lanham] \\n] \\n[Micheal Lanham] + \\n13 min read\\n\xB7Oct 7, 2025\\n[\\n] \\n--\\n[] \\nShare\\nPress enter or + click to view image in full size\\n![] \\nall images generated by gpt-image-1## + How smart software is learning to think, plan, and act on its own \u2014and + what you need to know to build with it\\nPicture this: you wake up to find your + AI assistant has already read through your morning emails, scheduled your meetings + around your preferences, researched that technical question you mentioned yesterday, + and even fixed a bug in your codebase while you slept.\\nThis isn\u2019t science + fiction. It\u2019s happening right now.\\n**Autonomous AI agents**\u2014 AI + programs that can reason, plan, and act to achieve goals with minimal human + intervention \u2014are rapidly becoming one of the most transformative trends + in software development. Thanks to powerful large language models like GPT-4 + and Claude, along with innovative frameworks for chaining tools and memory, + we\u2019re finally seeing AI agents that can handle complex, multi-step tasks + that used to require constant human oversight.\\nIf you\u2019ve been wondering + how to build these intelligent systems, which tools to use, or what the future + holds, you\u2019re in the right place. Let\u2019s dive into the world of autonomous + AI agents and explore how you can start building with them today.\\n[\\n![Micheal + Lanham] \\n] \\n[\\n![Micheal Lanham] \\n] \\n[## Written byMicheal Lanham\\n] + \\n[847 followers] \\n\xB7[5 following] \\nMicheal Lanham is a proven software + and tech innovator with 20 years of experience developing games, graphics and + machine learning AI apps.\\n## No responses yet\\n[] \\n[\\nHelp\\n] \\n[\\nStatus\\n] + \\n[\\nAbout\\n] \\n[\\nCareers\\n] \\n[\\nPress\\n] \\n[\\nBlog\\n] \\n[\\nPrivacy\\n] + \\n[\\nRules\\n] \\n[\\nTerms\\n] \\n[\\nText to speech\\n]\\nSummary: None\\n\\n\\nTitle: + Microsoft Build 2025: The age of AI agents and building the open ...\\nURL: + https://blogs.microsoft.com/blog/2025/05/19/microsoft-build-2025-the-age-of-ai-agents-and-building-the-open-agentic-web/\\nID: + https://blogs.microsoft.com/blog/2025/05/19/microsoft-build-2025-the-age-of-ai-agents-and-building-the-open-agentic-web/\\nScore: + None\\nPublished Date: 2025-05-19T00:00:00.000Z\\nAuthor: Frank X. Shaw\\nImage: + https://msblogs.thesourcemediaassets.com/2025/05/OMB-Build-2025-Hero-Art-Final-1024x576.png\\nFavicon: + https://blogs.microsoft.com/wp-content/uploads/2017/08/favicon.jpg\\nExtras: + None\\nSubpages: None\\nText: Microsoft Build 2025: The age of AI agents and + building the open agentic web - The Official Microsoft Blog\\n[Skip to content] + \\n[Skip to main content] \\n[![] Microsoft] \\nOfficial Microsoft Blog\\n[Official + Microsoft Blog] \\nOfficial Microsoft Blog\\nSearchSearch blogs.microsoft.com\\n* + No results\\nCancel[0Cart0 items in shopping cart] \\n# Microsoft Build 2025: + The age of AI agents and building the open agentic web\\nMay 19, 2025|[Frank + X. Shaw - Chief Communications Officer, Microsoft] \\n* [] \\n* [] \\n* [] \\n* + [] \\n![An image with Microsoft Build in the lower left corner, a dark red background + that becomes pixelated and lighter toward the right side and images of triangular + tubes on the right side.] \\n*TL;DR? Hear the news as an AI-generated audio + overview made using Microsoft 365 Copilot. You can read the transcript[here].*\\nAudio + Player\\n[https://msblogs.thesourcemediaassets.com/2025/05/Build2025\\\\_OMB\\\\_AI-generated\\\\_AudioOverview\\\\_Final.mp3] + \\n00:00\\n00:00\\n00:00\\n[Use Up/Down Arrow keys to increase or decrease volume.\\n] + \\nWe\u2019ve entered the era of AI agents. Thanks to groundbreaking advancements + in reasoning and memory, AI models are now more capable and efficient, and we\u2019re + seeing how AI systems can help us all solve problems in new ways.\\nFor example, + 15 million developersare already using GitHub Copilot, and features like agent + mode andcode revieware streamlining the way they code, check, deploy and troubleshoot.\\nHundreds + of thousands of customers are using[Microsoft 365 Copilot] to help research, + brainstorm and develop solutions, and more than 230,000 organizations \u2014including + 90% of the Fortune 500 \u2014have already used Copilot Studio to build AI agents + and automations.\\nCompanies like[Fujitsu] and[NTT DATA] are using Azure AI + Foundry to build and manage AI apps and agents that help prioritize sales leads, + speed proposal creation and surface client insights. Stanford Health Care is + using Microsoft\u2019s healthcare agent orchestrator[to build and test AI agents] + that can help alleviate the administrative burden and speed up the workflow + for tumor board preparation.\\nDevelopers are at the center of it all. For 50 + years Microsoft has been empowering developers with tools and platforms to turn + their ideas into reality, accelerating innovation at every stage. From AI-driven + automation to seamless cloud integration and more, it\u2019s exciting to see + how developers are fueling the next generation of digital transformation.\\nSo, + what\u2019s next?\\nWe envision a world in which agents operate across individual, + organizational, team and end-to-end business contexts. This emerging vision + of the internet**is an open agentic web**, where AI agents make decisions and + perform tasks on behalf of users or organizations.\\nAt Microsoft Build we\u2019re + showing the steps we\u2019re taking to make this vision a reality through our + platforms, products and infrastructure. We\u2019re putting new models and coding + agents in the hands of developers, introducing enterprise-grade agents, making + our platforms like Azure AI Foundry, GitHub and Windows the best places to build, + embracing open protocols and accelerating scientific discovery with AI, all + so that developers and organizations can go invent the next big thing.\\nHere\u2019s + a glimpse at just a few of the announcements today:\\n### **Reimagining the + software development lifecycle with AI**\\nAI is fundamentally shifting how + code is written, deployed and maintained. Developers are using AI to stay in + the flow of their environment longer and to shift their focus to more strategic + tasks. And as the software development lifecycle is being transformed, we\u2019re + providing new features across platforms including GitHub, Azure AI Foundry and + Windows that enable developers to work faster, think bigger and build at scale.\\n* + **GitHub Copilot coding agent and new updates to GitHub Models:**GitHub Copilot + is evolving from an in-editor assistant to an agentic AI partner with a first-of-its-kind**asynchronous + coding agent**integrated into the GitHub platform. We\u2019re adding prompt + management, lightweight evaluations and enterprise controls to**GitHub Models**so + teams can experiment with best-in-class models, without leaving GitHub. Microsoft + is also**open-sourcing GitHub Copilot Chat in VS Code**. The AI-powered capabilities + from GitHub Copilot extensions will now be part of the same open-source repository + that drives the world\u2019s most popular development tool. As the home of over + 150 million developers, this reinforces our commitment to open, collaborative, + AI-powered software development. Learn more about[GitHub Copilot updates].\\n* + **Introducing Windows AI Foundry**:For developers, Windows remains one of the + most open and widely used platforms available, with scale, flexibility and growing + opportunity. Windows AI Foundryoffers a unified and reliable platform supporting + the AI developer lifecycle across training and inference. With simple model + APIs for vision and language tasks, developers can manage and run open source + LLMs via**Foundry Local**or bring a proprietary model to convert, fine-tune + and deploy across client and cloud.Windows AI Foundry is available to get started + today. To learn more[visit our Windows Developer Blog].\\n* **Azure AI Foundry + Models and new tools for model evaluation:**Azure AI Foundry is a unified platform + for developers to design, customize and manage AI applications and agents. With + Azure AI Foundry Models, we\u2019re bringing Grok 3 and Grok 3 mini models from + xAI to our ecosystem, hosted and billed directly by Microsoft. Developers can + now choose from more than 1,900 partner-hosted and Microsoft-hosted AI models, + while managing secure data integration, model customization and enterprise-grade + governance. We\u2019re also introducing new tools like the Model Leaderboard, + which ranks the top-performing AI models across different categories and tasks, + and the Model Router, designed to select an optimal model for a specific query + or task in real-time. Read more about[Azure AI Foundry Models].### **Making + AI agents more capable and secure**\\nAI agents are not only changing how developers + build, but how individuals, teams and companies get work done.At Build, we\u2019re + unveilingnew pre-built agents, custom agent building blocks, multi-agent capabilities + and new models to help developers and organizations build and deploy agents + securely to help increase productivity in meaningful ways.\\n* With the general + availability of**Azure AI Foundry Agent Service,**Microsoft is bringing new + capabilities to empower professional developers to orchestrate multiple specialized + agents to handle complex tasks, including bringing Semantic Kernel and AutoGen + into a single, developer-focused SDK and Agent-to-Agent (A2A) and Model Context + Protocol (MCP) support. To help developers build trust and confidence in their + AI agents, we\u2019re announcing new features in**Azure AI Foundry Observability**for + built-in observability into metrics for performance, quality, cost and safety, + all incorporated alongside detailed tracing in a streamlined dashboard.Learn + more about how to deploy enterprise-grade AI agents in[Azure AI Foundry Service].\\n* + **Discover, protect and govern in Azure AI Foundry:**With[Microsoft Entra Agent + ID], now in preview, agents that developers create in Microsoft Copilot Studio + or Azure AI Foundry are automatically assigned unique identities in an Entra + directory, helping enterprises securely manage agents right from the start and + avoid \u201Cagent sprawl\u201D that could lead to blind spots. Apps and agents + built with Foundry further benefit from[Purview data security and compliance + controls]. Foundry also offers enhanced governance tools to set risk parameters, + run automated evaluations and receive detailed reports. Learn more about[Microsoft + Entra Agent ID] and[Azure AI Foundry integrations with Microsoft Purview Compliance + Manager].\\n* **Introducing Microsoft 365 Copilot Tuning and multi-agent orchestration:**With**Copilot + Tuning**, customers can use their own company data, workflows and processes + to train models and create agents in a simple, low-code way. These agents perform + highly accurate, domain-specific tasks securely from within the Microsoft 365 + service boundary. For example, a law firm can create an agent that generates + documents aligned with its organization\u2019s expertise and style. Additionally, + new**multi-agent orchestration in Copilot Studio**connects multiple agents, + allowing them to combine skills and tackle broader, more complex tasks. Check + out the[Microsoft 365 blog] to learn how to access these new tools as well as + the Microsoft 365 Copilot Wave 2 spring release, which has moved to general + availability and begins rolling out today.### **Supporting the open agentic + web**\\nTo realize the future of AI agents, we\u2019re advancing open standards + and shared infrastructure to provide unique capabilities for customers.\\n* + **Supporting Model Context Protocol (MCP):**Microsoft is delivering**broad first-party + support**for Model Context Protocol (MCP) across its agent platform and frameworks, + spanning GitHub, Copilot Studio, Dynamics 365, Azure AI Foundry, Semantic Kernel + and[Windows 11]. In addition, Microsoft and GitHub have joined the MCP Steering + Committee to help advance secure, at-scale adoption of the open protocol and + announced two new contributions to the MCP ecosystem,**an updated authorization + specification**, which enables people to use their existing trusted sign-in + methods to give agents and LLM-powered apps access to data and services such + as personal storage drives or subscription services, and the design of an**MCP + server registry service**, which allows anyone to implement public or private, + up-to-date, centralized repositories for MCP server entries. Check out the[GitHub + repository]\\nSummary: None\\n\\n\\nTitle: The Landscape of Agentic Reinforcement + Learning for LLMs: A Survey\\nURL: https://arxiv.org/abs/2509.02547\\nID: https://arxiv.org/abs/2509.02547\\nScore: + None\\nPublished Date: 2025-09-02T00:00:00.000Z\\nAuthor: [Submitted on 2 Sep + 2025]\\nImage: /static/browse/0.3.4/images/arxiv-logo-fb.png\\nFavicon: https://arxiv.org/static/browse/0.3.4/images/icons/favicon-32x32.png\\nExtras: + None\\nSubpages: None\\nText: [2509.02547] The Landscape of Agentic Reinforcement + Learning for LLMs: A Survey\\n[Skip to main content] \\n[![Cornell University]] + \\nWe gratefully acknowledge support from the Simons Foundation,[member institutions], + and all contributors.[Donate] \\n[] \\n[![arxiv logo]] >[cs] >arXiv:2509.02547\\n[Help] + |[Advanced Search] \\nAll fieldsTitleAuthorAbstractCommentsJournal referenceACM + classificationMSC classificationReport numberarXiv identifierDOIORCIDarXiv author + IDHelp pagesFull text\\nSearch\\n[![arXiv logo]] \\n[![Cornell University Logo]] + \\nopen search\\nGO\\nopen navigation menu\\n# Computer Science \\\\> Artificial + Intelligence\\n**arXiv:2509.02547**(cs)\\n[Submitted on 2 Sep 2025 ([v1]), last + revised 24 Jan 2026 (this version, v4)]\\n# Title:The Landscape of Agentic Reinforcement + Learning for LLMs: A Survey\\nAuthors:[Guibin Zhang],[Hejia Geng],[Xiaohang + Yu],[Zhenfei Yin],[Zaibin Zhang],[Zelin Tan],[Heng Zhou],[Zhongzhi Li],[Xiangyuan + Xue],[Yijiang Li],[Yifan Zhou],[Yang Chen],[Chen Zhang],[Yutao Fan],[Zihu Wang],[Songtao + Huang],[Francisco Piedrahita-Velez],[Yue Liao],[Hongru Wang],[Mengyue Yang],[Heng + Ji],[Jun Wang],[Shuicheng Yan],[Philip Torr],[Lei Bai] \\nView a PDF of the + paper titled The Landscape of Agentic Reinforcement Learning for LLMs: A Survey, + by Guibin Zhang and 24 other authors\\n[View PDF] [HTML (experimental)] > > + Abstract:\\n> The emergence of agentic reinforcement learning (Agentic RL) marks + a paradigm shift from conventional reinforcement learning applied to large language + models (LLM RL), reframing LLMs from passive sequence generators into autonomous, + decision-making agents embedded in complex, dynamic worlds. This survey formalizes + this conceptual shift by contrasting the degenerate single-step Markov Decision + Processes (MDPs) of LLM-RL with the temporally extended, partially observable + Markov decision processes (POMDPs) that define Agentic RL. Building on this + foundation, we propose a comprehensive twofold taxonomy: one organized around + core agentic capabilities, including planning, tool use, memory, reasoning, + self-improvement, and perception, and the other around their applications across + diverse task domains. Central to our thesis is that reinforcement learning serves + as the critical mechanism for transforming these capabilities from static, heuristic + modules into adaptive, robust agentic behavior. To support and accelerate future + research, we consolidate the landscape of open-source environments, benchmarks, + and frameworks into a practical compendium. By synthesizing over five hundred + recent works, this survey charts the contours of this rapidly evolving field + and highlights the opportunities and challenges that will shape the development + of scalable, general-purpose AI agents. Comments:|Published on Transactions + on Machine Learning Research:[this https URL] |\\nSubjects:|Artificial Intelligence + (cs.AI); Computation and Language (cs.CL)|\\nCite as:|[arXiv:2509.02547] [cs.AI]|\\n|(or[arXiv:2509.02547v4] + [cs.AI]for this version)|\\n|[https://doi.org/10.48550/arXiv.2509.02547] \\nFocus + to learn more\\narXiv-issued DOI via DataCite\\n|\\n## Submission history\\nFrom: + Hejia Geng [[view email]]\\n**[[v1]] **Tue, 2 Sep 2025 17:46:26 UTC (5,418 KB)\\n**[[v2]] + **Wed, 29 Oct 2025 06:27:56 UTC (5,432 KB)\\n**[[v3]] **Sat, 8 Nov 2025 05:55:03 + UTC (5,352 KB)\\n**[v4]**Sat, 24 Jan 2026 22:41:54 UTC (12,708 KB)\\nFull-text + links:## Access Paper:\\nView a PDF of the paper titled The Landscape of Agentic + Reinforcement Learning for LLMs: A Survey, by Guibin Zhang and 24 other authors\\n* + [View PDF] \\n* [HTML (experimental)] \\n* [TeX Source] \\n[![license icon] + view license] \\nCurrent browse context:\\ncs.AI\\n[<<prev] | [next>>] + \\n[new] |[recent] |[2025-09] \\nChange to browse by:\\n[cs] \\n[cs.CL] \\n### + References & Citations\\n* [NASA ADS] \\n* [Google Scholar] \\n* [Semantic + Scholar] \\nexport BibTeX citationLoading...\\n## BibTeX formatted citation\\n×\\nloading...\\nData + provided by:\\n### Bookmark\\n[![BibSonomy logo]] [![Reddit logo]] \\nBibliographic + Tools\\n# Bibliographic and Citation Tools\\nBibliographic Explorer Toggle\\nBibliographic + Explorer*([What is the Explorer?])*\\nConnected Papers Toggle\\nConnected Papers*([What + is Connected Papers?])*\\nLitmaps Toggle\\nLitmaps*([What is Litmaps?])*\\nscite.ai + Toggle\\nscite Smart Citations*([What are Smart Citations?])*\\nCode, Data, + Media\\n# Code, Data and Media Associated with this Article\\nalphaXiv Toggle\\nalphaXiv*([What + is alphaXiv?])*\\nLinks to Code Toggle\\nCatalyzeX Code Finder for Papers*([What + is CatalyzeX?])*\\nDagsHub Toggle\\nDagsHub*([What is DagsHub?])*\\nGotitPub + Toggle\\nGotit.pub*([What is GotitPub?])*\\nHuggingface Toggle\\nHugging Face*([What + is Huggingface?])*\\nLinks to Code Toggle\\nPapers with Code*([What is Papers + with Code?])*\\nScienceCast Toggle\\nScienceCast*([What is ScienceCast?])*\\nDemos\\n# + Demos\\nReplicate Toggle\\nReplicate*([What is Replicate?])*\\nSpaces Toggle\\nHugging + Face Spaces*([What is Spaces?])*\\nSpaces Toggle\\nTXYZ.AI*([What is TXYZ.AI?])*\\nRelated + Papers\\n# Recommenders and Search Tools\\nLink to Influence Flower\\nInfluence + Flower*([What are Influence Flowers?])*\\nCore recommender toggle\\nCORE Recommender*([What + is CORE?])*\\n* Author\\n* Venue\\n* Institution\\n* Topic\\nAbout arXivLabs\\n# + arXivLabs: experimental projects with community collaborators\\narXivLabs is + a framework that allows collaborators to develop and share new arXiv features + directly on our website.\\nBoth individuals and organizations that work with + arXivLabs have embraced and accepted our values of openness, community, excellence, + and user data privacy. arXiv is committed to these values and only works with + partners that adhere to them.\\nHave an idea for a project that will add value + for arXiv's community?[**Learn more about arXivLabs**].\\n[Which authors of + this paper are endorsers?] |[Disable MathJax] ([What is MathJax?])\\nSummary: + None\\n\\n\\nTitle: In-the-Flow Agentic System Optimization for Effective Planning + and Tool Use\\nURL: https://arxiv.org/abs/2510.05592\\nID: https://arxiv.org/abs/2510.05592\\nScore: + None\\nPublished Date: 2025-10-07T00:00:00.000Z\\nAuthor: [Submitted on 7 Oct + 2025]\\nImage: /static/browse/0.3.4/images/arxiv-logo-fb.png\\nFavicon: https://arxiv.org/static/browse/0.3.4/images/icons/favicon-32x32.png\\nExtras: + None\\nSubpages: None\\nText: [2510.05592] In-the-Flow Agentic System Optimization + for Effective Planning and Tool Use\\n[Skip to main content] \\n[![Cornell University]] + \\nWe gratefully acknowledge support from the Simons Foundation,[member institutions], + and all contributors.[Donate] \\n[] \\n[![arxiv logo]] >[cs] >arXiv:2510.05592\\n[Help] + |[Advanced Search] \\nAll fieldsTitleAuthorAbstractCommentsJournal referenceACM + classificationMSC classificationReport numberarXiv identifierDOIORCIDarXiv author + IDHelp pagesFull text\\nSearch\\n[![arXiv logo]] \\n[![Cornell University Logo]] + \\nopen search\\nGO\\nopen navigation menu\\n# Computer Science \\\\> Artificial + Intelligence\\n**arXiv:2510.05592**(cs)\\n[Submitted on 7 Oct 2025]\\n# Title:In-the-Flow + Agentic System Optimization for Effective Planning and Tool Use\\nAuthors:[Zhuofeng + Li],[Haoxiang Zhang],[Seungju Han],[Sheng Liu],[Jianwen Xie],[Yu Zhang],[Yejin + Choi],[James Zou],[Pan Lu] \\nView a PDF of the paper titled In-the-Flow Agentic + System Optimization for Effective Planning and Tool Use, by Zhuofeng Li and + 8 other authors\\n[View PDF] [HTML (experimental)] > > Abstract:\\n> Outcome-driven + reinforcement learning has advanced reasoning in large language models (LLMs), + but prevailing tool-augmented approaches train a single, monolithic policy that + interleaves thoughts and tool calls under full context; this scales poorly with + long horizons and diverse tools and generalizes weakly to new scenarios. Agentic + systems offer a promising alternative by decomposing work across specialized + modules, yet most remain training-free or rely on offline training decoupled + from the live dynamics of multi-turn interaction. We introduce AgentFlow, a + trainable, in-the-flow agentic framework that coordinates four modules (planner, + executor, verifier, generator) through an evolving memory and directly optimizes + its planner inside the multi-turn loop. To train on-policy in live environments, + we propose Flow-based Group Refined Policy Optimization (Flow-GRPO), which tackles + long-horizon, sparse-reward credit assignment by converting multi-turn optimization + into a sequence of tractable single-turn policy updates. It broadcasts a single, + verifiable trajectory-level outcome to every turn to align local planner decisions + with global success and stabilizes learning with group-normalized advantages. + Across ten benchmarks, AgentFlow with a 7B-scale backbone outperforms top-performing + baselines with average accuracy gains of 14.9% on search, 14.0% on agentic, + 14.5% on mathematical, and 4.1% on scientific tasks, even surpassing larger + proprietary models like GPT-4o. Further analyses confirm the benefits of in-the-flow + optimization, showing improved planning, enhanced tool-calling reliability, + and positive scaling with model size and reasoning turns. Comments:|45 pages, + 12 figures. Project website:[this https URL] |\\nSubjects:|Artificial Intelligence + (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG); Multiagent + Systems (cs.MA)|\\nCite as:|[arXiv:2510.05592] [cs.AI]|\\n|(or[arXiv:2510.05592v1] + [cs.AI]for this version)|\\n|[https://doi.org/10.48550/arXiv.2510.05592] \\nFocus + to learn more\\narXiv-issued DOI via DataCite\\n|\\n## Submission history\\nFrom: + Pan Lu [[view email]]\\n**[v1]**Tue, 7 Oct 2025 05:32:44 UTC (1,298 KB)\\nFull-text + links:## Access Paper:\\nView a PDF of the paper titled In-the-Flow Agentic + System Optimization for Effective Planning and Tool Use, by Zhuofeng Li and + 8 other authors\\n* [View PDF] \\n* [HTML (experimental)] \\n* [TeX Source] + \\n[![license icon] view license] \\nCurrent browse context:\\ncs.AI\\n[<<prev] + | [next>>] \\n[new] |[recent] |[2025-10] \\nChange to browse by:\\n[cs] + \\n[cs.CL] \\n[cs.LG] \\n[cs.MA] \\n### References & Citations\\n* [NASA + ADS] \\n* [Google Scholar] \\n* [Semantic Scholar] \\nexport BibTeX citationLoading...\\n## + BibTeX formatted citation\\n×\\nloading...\\nData provided by:\\n### Bookmark\\n[![BibSonomy + logo]] [![Reddit logo]] \\nBibliographic Tools\\n# Bibliographic and Citation + Tools\\nBibliographic Explorer Toggle\\nBibliographic Explorer*([What is the + Explorer?])*\\nConnected Papers Toggle\\nConnected Papers*([What is Connected + Papers?])*\\nLitmaps Toggle\\nLitmaps*([What is Litmaps?])*\\nscite.ai Toggle\\nscite + Smart Citations*([What are Smart Citations?])*\\nCode, Data, Media\\n# Code, + Data and Media Associated with this Article\\nalphaXiv Toggle\\nalphaXiv*([What + is alphaXiv?])*\\nLinks to Code Toggle\\nCatalyzeX Code Finder for Papers*([What + is CatalyzeX?])*\\nDagsHub Toggle\\nDagsHub*([What is DagsHub?])*\\nGotitPub + Toggle\\nGotit.pub*([What is GotitPub?])*\\nHuggingface Toggle\\nHugging Face*([What + is Huggingface?])*\\nLinks to Code Toggle\\nPapers with Code*([What is Papers + with Code?])*\\nScienceCast 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community?[**Learn more about arXivLabs**].\\n[Which authors of + this paper are endorsers?] |[Disable MathJax] ([What is MathJax?])\\nSummary: + None\\n\\n\\nTitle: SFR-DeepResearch: Towards Effective Reinforcement Learning + for Autonomously Reasoning Single Agents\\nURL: https://arxiv.org/abs/2509.06283\\nID: + https://arxiv.org/abs/2509.06283\\nScore: None\\nPublished Date: 2025-09-08T00:00:00.000Z\\nAuthor: + [Submitted on 8 Sep 2025 (v1), last revised 9 Sep 2025 (this version, v2)]\\nImage: + /static/browse/0.3.4/images/arxiv-logo-fb.png\\nFavicon: https://arxiv.org/static/browse/0.3.4/images/icons/favicon-32x32.png\\nExtras: + None\\nSubpages: None\\nText: [2509.06283] SFR-DeepResearch: Towards Effective + Reinforcement Learning for Autonomously Reasoning Single Agents\\n[Skip to main + content] \\n[![Cornell University]] \\nWe gratefully acknowledge support from + the Simons Foundation,[member institutions], and all contributors.[Donate] \\n[] + \\n[![arxiv logo]] >[cs] >arXiv:2509.06283\\n[Help] |[Advanced Search] + \\nAll fieldsTitleAuthorAbstractCommentsJournal referenceACM classificationMSC + classificationReport numberarXiv identifierDOIORCIDarXiv author IDHelp pagesFull + text\\nSearch\\n[![arXiv logo]] \\n[![Cornell University Logo]] \\nopen search\\nGO\\nopen + navigation menu\\n# Computer Science \\\\> Artificial Intelligence\\n**arXiv:2509.06283**(cs)\\n[Submitted + on 8 Sep 2025 ([v1]), last revised 9 Sep 2025 (this version, v2)]\\n# Title:SFR-DeepResearch: + Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents\\nAuthors:[Xuan-Phi + Nguyen],[Shrey Pandit],[Revanth Gangi Reddy],[Austin Xu],[Silvio Savarese],[Caiming + Xiong],[Shafiq Joty] \\nView a PDF of the paper titled SFR-DeepResearch: Towards + Effective Reinforcement Learning for Autonomously Reasoning Single Agents, by + Xuan-Phi Nguyen and 6 other authors\\n[View PDF] [HTML (experimental)] > > Abstract:\\n> + Equipping large language models (LLMs) with complex, interleaved reasoning and + tool-use capabilities has become a key focus in agentic AI research, especially + with recent advances in reasoning-oriented (``thinking'') models. Such + capabilities are key to unlocking a number of important applications. One such + application is Deep Research (DR), which requires extensive search and reasoning + over many sources. Our work in this paper focuses on the development of native + Autonomous Single-Agent models for DR featuring minimal web crawling and Python + tool integration. Unlike multi-agent systems, where agents take up pre-defined + roles and are told what to do at each step in a static workflow, an autonomous + single-agent determines its next action dynamically based on context, without + manual directive. While prior work has proposed training recipes for base or + instruction-tuned LLMs, we focus on continual reinforcement learning (RL) of + reasoning-optimized models to further enhance agentic skills while preserving + reasoning ability. Towards this end, we propose a simple RL recipe with entirely + synthetic data, which we apply to various open-source LLMs. Our best variant + SFR-DR-20B achieves up to 28.7% on Humanity's Last Exam benchmark. In addition, + we conduct key analysis experiments to provide more insights into our methodologies. + Comments:|Technical Report|\\nSubjects:|Artificial Intelligence (cs.AI); Computation + and Language (cs.CL)|\\nCite as:|[arXiv:2509.06283] [cs.AI]|\\n|(or[arXiv:2509.06283v2] + [cs.AI]for this version)|\\n|[https://doi.org/10.48550/arXiv.2509.06283] \\nFocus + to learn more\\narXiv-issued DOI via DataCite\\n|\\n## Submission history\\nFrom: + Xuan Phi Nguyen [[view email]]\\n**[[v1]] **Mon, 8 Sep 2025 02:07:09 UTC (1,377 + KB)\\n**[v2]**Tue, 9 Sep 2025 02:30:02 UTC (1,367 KB)\\nFull-text links:## Access + Paper:\\nView a PDF of the paper titled SFR-DeepResearch: Towards Effective + Reinforcement Learning for Autonomously Reasoning Single Agents, by Xuan-Phi + Nguyen and 6 other authors\\n* [View PDF] \\n* [HTML (experimental)] \\n* [TeX + Source] \\n[![license icon] view license] \\nCurrent browse context:\\ncs.AI\\n[<<prev] + | [next>>] \\n[new] |[recent] |[2025-09] \\nChange to browse by:\\n[cs] + \\n[cs.CL] \\n### References & Citations\\n* [NASA ADS] \\n* [Google Scholar] + \\n* [Semantic Scholar] \\nexport BibTeX citationLoading...\\n## BibTeX formatted + citation\\n×\\nloading...\\nData provided by:\\n### Bookmark\\n[![BibSonomy + logo]] [![Reddit logo]] \\nBibliographic Tools\\n# Bibliographic and Citation + Tools\\nBibliographic Explorer Toggle\\nBibliographic Explorer*([What is the + Explorer?])*\\nConnected Papers Toggle\\nConnected Papers*([What is Connected + Papers?])*\\nLitmaps Toggle\\nLitmaps*([What is Litmaps?])*\\nscite.ai Toggle\\nscite + Smart Citations*([What are Smart Citations?])*\\nCode, Data, Media\\n# Code, + Data and Media Associated with this Article\\nalphaXiv Toggle\\nalphaXiv*([What + is alphaXiv?])*\\nLinks to Code Toggle\\nCatalyzeX Code Finder for Papers*([What + is CatalyzeX?])*\\nDagsHub Toggle\\nDagsHub*([What is DagsHub?])*\\nGotitPub + Toggle\\nGotit.pub*([What is GotitPub?])*\\nHuggingface Toggle\\nHugging Face*([What + is Huggingface?])*\\nLinks to Code Toggle\\nPapers with Code*([What is Papers + with Code?])*\\nScienceCast Toggle\\nScienceCast*([What is ScienceCast?])*\\nDemos\\n# + Demos\\nReplicate Toggle\\nReplicate*([What is Replicate?])*\\nSpaces Toggle\\nHugging + Face Spaces*([What is Spaces?])*\\nSpaces Toggle\\nTXYZ.AI*([What is TXYZ.AI?])*\\nRelated + Papers\\n# Recommenders and Search Tools\\nLink to Influence Flower\\nInfluence + Flower*([What are Influence Flowers?])*\\nCore recommender toggle\\nCORE Recommender*([What + is CORE?])*\\n* Author\\n* Venue\\n* Institution\\n* Topic\\nAbout arXivLabs\\n# + arXivLabs: experimental projects with community collaborators\\narXivLabs is + a framework that allows collaborators to develop and share new arXiv features + directly on our website.\\nBoth individuals and organizations that work with + arXivLabs have embraced and accepted our values of openness, community, excellence, + and user data privacy. arXiv is committed to these values and only works with + partners that adhere to them.\\nHave an idea for a project that will add value + for arXiv's community?[**Learn more about arXivLabs**].\\n[Which authors of + this paper are endorsers?] |[Disable MathJax] ([What is MathJax?])\\nSummary: + None\\n\\n\\nTitle: Discovering state-of-the-art reinforcement learning algorithms\\nURL: + https://www.nature.com/articles/s41586-025-09761-x\\nID: https://www.nature.com/articles/s41586-025-09761-x\\nScore: + None\\nPublished Date: 2025-10-22T00:00:00.000Z\\nAuthor: Silver, David\\nImage: + https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41586-025-09761-x/MediaObjects/41586_2025_9761_Fig1_HTML.png\\nFavicon: + https://www.nature.com/static/images/favicons/nature/favicon-32x32-3fe59ece92.png\\nExtras: + None\\nSubpages: None\\nText: Discovering state-of-the-art reinforcement learning + algorithms | Nature\\n[Skip to main content] \\nThank you for visiting nature.com. + You are using a browser version with limited support for CSS. To obtain\\nthe + best experience, we recommend you use a more up to date browser (or turn off + compatibility mode in\\nInternet Explorer). In the meantime, to ensure continued + support, we are displaying the site without styles\\nand JavaScript.\\nAdvertisement\\n[![Nature]] + \\n* [View all journals] \\n* [Search] \\n* [Log in] \\n* [ContentExplore content] + \\n* [Aboutthe journal] \\n* [Publishwith us] \\n* [Sign up for alerts] \\n* + [RSS feed] \\nDiscovering state-of-the-art reinforcement learning algorithms\\n[Download + PDF] \\n[Download PDF] \\n* Article\\n* [Open access] \\n* Published:22 October + 2025# Discovering state-of-the-art reinforcement learning algorithms\\n* [Junhyuk + Oh] [ORCID:orcid.org/0000-0003-4383-6396] [1] [na1],\\n* [Gregory Farquhar] + [1] [na1],\\n* [Iurii Kemaev] [ORCID:orcid.org/0009-0006-6804-5936] [1] [na1],\\n* + [Dan A. Calian] [ORCID:orcid.org/0000-0001-7283-5670] [1] [na1],\\n* [Matteo + Hessel] [ORCID:orcid.org/0009-0006-9946-4375] [1],\\n* [Luisa Zintgraf] [ORCID:orcid.org/0009-0003-5864-7632] + [1],\\n* [Satinder Singh] [1],\\n* [Hado van Hasselt] [1] &\\n* \u2026* + [David Silver] [ORCID:orcid.org/0000-0002-5197-2892] [1] Show authors\\n[*Nature*] + **volume648**,pages312\u2013319 (2025)[Cite this article] \\n* 75kAccesses\\n* + 1Citations\\n* 250Altmetric\\n* [Metricsdetails] \\n### Subjects\\n* [Computational + science] \\n* [Computer science] \\n## Abstract\\nHumans and other animals use + powerful reinforcement learning (RL) mechanisms that have been discovered by + evolution over many generations of trial and error. By contrast, artificial + agents typically learn using handcrafted learning rules. Despite decades of + interest, the goal of autonomously discovering powerful RL algorithms has proven + to be elusive[1],[2],[3],[4],[5],[6]. Here we show that it is possible for machines + to discover a state-of-the-art RL rule that outperforms manually designed rules. + This was achieved by meta-learning from the cumulative experiences of a population + of agents across a large number of complex environments. Specifically, our method + discovers the RL rule by which the agent\u2019s policy and predictions are updated. + In our large-scale experiments, the discovered rule surpassed all existing rules + on the well-established Atari benchmark and outperformed a number of state-of-the-art + RL algorithms on challenging benchmarks that it had not seen during discovery. + Our findings suggest that the RL algorithms required for advanced artificial + intelligence may soon be automatically discovered from the experiences of agents, + rather than manually designed.\\n### Similar content being viewed by others\\n![] + \\n### [DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning] + \\nArticleOpen access17 September 2025\\n![] \\n### [An adaptable and personalized + framework for top-N course recommendations in online learning] \\nArticleOpen + access06 May 2024\\n![] \\n### [Competitive swarm reinforcement learning improves + stability and performance of deep reinforcement learning] \\nArticleOpen access11 + December 2025\\n## Main\\nThe primary goal of artificial intelligence is to + design agents that, like humans, can predict and act in complex environments + to achieve goals. Many of the most successful agents are based on reinforcement + learning (RL), in which agents learn by interacting with environments. Decades + of research have produced ever more efficient RL algorithms, resulting in numerous + landmarks in artificial intelligence, including the mastery of complex competitive + games such as Go[7], chess[8],*StarCraft*[9] and*Minecraft*[10], the invention + of new mathematical tools[11], or the control of complex physical systems[12].\\nUnlike + humans, whose learning mechanism has been naturally discovered by biological + evolution, RL algorithms are typically manually designed. This is usually slow + and laborious, and limited by reliance on human knowledge and intuition. Although + a number of attempts have been made to automatically discover learning algorithms[1],[2],[3],[4],[5],[6], + none have proven to be sufficiently efficient and general to replace hand-designed + RL systems.\\nIn this work, we introduce an autonomous method for discovering + RL rules solely through the experience of many generations of agents interacting + with various environments (Fig.[1a]). The discovered RL rule achieves state-of-the-art + performance on a variety of challenging RL benchmarks. The success of our method + contrasts previous work in two dimensions. First, whereas previous methods searched + over narrow spaces of RL rules (for example, hyperparameters[13],[14] or policy + loss[1],[6]), our method allows the agent to explore a far more expressive space + of potential RL rules. Second, whereas previous work focused on meta-learning + in simple environments (for example, grid-worlds[3],[15]), our method meta-learns + in complex and diverse environments at a much larger scale.\\n**Fig. 1: Discovering + an RL rule from a population of agents.**\\n[![figure 1]] \\n**a**, Discovery. + Multiple agents, interacting with various environments, are trained in parallel + according to the learning rule, defined by the meta-network. In the meantime, + the meta-network is optimized to improve the agents\u2019 collective performances.**b**, + Agent architecture. An agent produces the following outputs: (1) a policy(**\u03C0**), + (2) an observation-conditioned prediction vector(**y**), (3) action-conditioned + prediction vectors(**z**), (4) action values(**q**) and (5) an auxiliary policy + prediction(**p**). The semantics of**y**and**z**are determined by the meta-network.**c**, + Meta-network architecture. A trajectory of the agent\u2019s outputs is given + as input to the meta-network, together with rewards and episode termination + indicators from the environment (omitted for simplicity in the figure). Using + this information, the meta-network produces targets for all of the agent\u2019s + predictions from the current and future time steps. The agent is updated to + minimize the prediction errors with respect to their targets. LSTM, long short-term + memory.**d**, Meta-optimization. The meta-parameters of the meta-network are + updated by taking a meta-gradient step calculated from backpropagation through + the agent\u2019s update process (*\u03B8*0\u2192*\u03B8**N*), where the meta-objective + isto maximize the collective returns of the agents in their environments.\\n[Full + size image] \\nTo choose a general space of discovery, we observe that the essential + component of standard RL algorithms is a rule that updates one or more predictions, + as well as the policy itself, towards targets that are functions of quantities + such as future rewards and future predictions. Examples of RL rules based on + different targets include temporal-difference learning[16],*Q*-learning[17], + proximal policy optimization (PPO)[18], auxiliary tasks[19], successor features[20] + and distributional RL[21]. In each case, the choice of target determines the + nature of the predictions, for example, whether they become value functions, + models or successor features.\\nIn our framework, an RL rule is represented + by a meta-network that determines the targets towards which the agent should + move its predictions and policy (Fig.[1c]). This allows the system to discover + useful predictions without pre-defined semantics, as well as how they are used. + The system may in principle rediscover past RL rules, but the flexible functional + form also allows the agent to invent new RL rules that may be specifically adapted + to environments of interest.\\nDuring the discovery process, we instantiate + a population of agents, each of which interacts with its own instance of an + environment taken from a diverse set of challenging tasks. Each agent\u2019s + parameters are updated according to the current RL rule. We then use the meta-gradient + method[13] to incrementally improve the RL rule such that it could lead to better-performing + agents.\\nOur large-scale empirical results show that our discovered RL rule, + which we call DiscoRL, surpasses all existing RL rules on the environments in + which it was meta-learned. Notably, this includes Atari games[22], arguably + the most established and informative of RL benchmarks. Furthermore, DiscoRL + achieved state-of-the-art performance on a number of other challenging benchmarks, + such as ProcGen[23], that it had never been exposed to during discovery. We + also show that the performance and generality of DiscoRL improves further as + more diverse and complex environments are used in discovery. Finally, our analysis + shows that DiscoRL has discovered unique prediction semantics that are distinct + from existing RL concepts such as value functions. To the best of our knowledge, + this is the empirical evidence that surpassing manually designed RL algorithms + in terms of both generality and efficiency is finally within reach.\\n## Discovery + method\\nOur discovery approach involves two types of optimization: agent optimization + and meta-optimization. Agent parameters are optimized by updating their policies + and predictions towards the targets produced by the RL rule. Meanwhile, the + meta-parameters\\nSummary: None\\n\\n\\nTitle: Autonomous Deep Agent\\nURL: + https://arxiv.org/abs/2502.07056\\nID: https://arxiv.org/abs/2502.07056\\nScore: + None\\nPublished Date: 2025-02-10T00:00:00.000Z\\nAuthor: [Submitted on 10 Feb + 2025]\\nImage: /static/browse/0.3.4/images/arxiv-logo-fb.png\\nFavicon: https://arxiv.org/static/browse/0.3.4/images/icons/favicon-32x32.png\\nExtras: + None\\nSubpages: None\\nText: [2502.07056] Autonomous Deep Agent\\n[Skip to + main content] \\n[![Cornell University]] \\nWe gratefully acknowledge support + from the Simons Foundation,[member institutions], and all contributors.[Donate] + \\n[] \\n[![arxiv logo]] >[cs] >arXiv:2502.07056\\n[Help] |[Advanced Search] + \\nAll fieldsTitleAuthorAbstractCommentsJournal referenceACM classificationMSC + classificationReport numberarXiv identifierDOIORCIDarXiv author IDHelp pagesFull + text\\nSearch\\n[![arXiv logo]] \\n[![Cornell University Logo]] \\nopen search\\nGO\\nopen + navigation menu\\n# Computer Science \\\\> Artificial Intelligence\\n**arXiv:2502.07056**(cs)\\n[Submitted + on 10 Feb 2025]\\n# Title:Autonomous Deep Agent\\nAuthors:[Amy Yu],[Erik Lebedev],[Lincoln + Everett],[Xiaoxin Chen],[Terry Chen] \\nView a PDF of the paper titled Autonomous + Deep Agent, by Amy Yu and 3 other authors\\n[View PDF] [HTML (experimental)] + > > Abstract:\\n> This technical brief introduces Deep Agent, an advanced autonomous + AI system designed to manage complex multi-phase tasks through a novel hierarchical + task management architecture. The system's foundation is built on our Hierarchical + Task DAG (HTDAG) framework, which dynamically decomposes high-level objectives + into manageable sub-tasks while rigorously maintaining dependencies and execution + coherence. Deep Agent advances beyond traditional agent systems through three + key innovations: First, it implements a recursive two-stage planner-executor + architecture that enables continuous task refinement and adaptation as circumstances + change. Second, it features an Autonomous API & Tool Creation (AATC) system + that automatically generates reusable components from UI interactions, substantially + reducing operational costs for similar tasks. Third, it incorporates Prompt + Tweaking Engine and Autonomous Prompt Feedback Learning components that optimize + Large Language Model prompts for specific scenarios, enhancing both inference + accuracy and operational stability. These components are integrated to form + a service infrastructure that manages user contexts, handles complex task dependencies, + and orchestrates end-to-end agentic workflow execution. Through this sophisticated + architecture, Deep Agent establishes a novel paradigm in self-governing AI systems, + demonstrating robust capability to independently handle intricate, multi-step + tasks while maintaining consistent efficiency and reliability through continuous + self-optimization. Subjects:|Artificial Intelligence (cs.AI); Machine Learning + (cs.LG)|\\nACMclasses:|I.2.6; I.2.7|\\nCite as:|[arXiv:2502.07056] [cs.AI]|\\n|(or[arXiv:2502.07056v1] + [cs.AI]for this version)|\\n|[https://doi.org/10.48550/arXiv.2502.07056] \\nFocus + to learn more\\narXiv-issued DOI via DataCite\\n|\\n## Submission history\\nFrom: + Amy Yu [[view email]]\\n**[v1]**Mon, 10 Feb 2025 21:46:54 UTC (2,085 KB)\\nFull-text + links:## Access Paper:\\nView a PDF of the paper titled Autonomous Deep Agent, + by Amy Yu and 3 other authors\\n* [View PDF] \\n* [HTML (experimental)] \\n* + [TeX Source] \\n[![license icon] view license] \\nCurrent browse context:\\ncs.AI\\n[<<prev] + | [next>>] \\n[new] |[recent] |[2025-02] \\nChange to browse by:\\n[cs] + \\n[cs.LG] \\n### References & Citations\\n* [NASA ADS] \\n* [Google Scholar] + \\n* [Semantic Scholar] \\nexport BibTeX citationLoading...\\n## BibTeX formatted + citation\\n×\\nloading...\\nData provided by:\\n### Bookmark\\n[![BibSonomy + logo]] [![Reddit logo]] \\nBibliographic Tools\\n# Bibliographic and Citation + Tools\\nBibliographic Explorer Toggle\\nBibliographic Explorer*([What is the + Explorer?])*\\nConnected Papers Toggle\\nConnected Papers*([What is Connected + Papers?])*\\nLitmaps Toggle\\nLitmaps*([What is Litmaps?])*\\nscite.ai Toggle\\nscite + Smart Citations*([What are Smart Citations?])*\\nCode, Data, Media\\n# Code, + Data and Media Associated with this Article\\nalphaXiv Toggle\\nalphaXiv*([What + is alphaXiv?])*\\nLinks to Code Toggle\\nCatalyzeX Code Finder for Papers*([What + is CatalyzeX?])*\\nDagsHub Toggle\\nDagsHub*([What is DagsHub?])*\\nGotitPub + Toggle\\nGotit.pub*([What is GotitPub?])*\\nHuggingface Toggle\\nHugging Face*([What + is Huggingface?])*\\nLinks to Code Toggle\\nPapers with Code*([What is Papers + with Code?])*\\nScienceCast Toggle\\nScienceCast*([What is ScienceCast?])*\\nDemos\\n# + Demos\\nReplicate Toggle\\nReplicate*([What is Replicate?])*\\nSpaces Toggle\\nHugging + Face Spaces*([What is Spaces?])*\\nSpaces Toggle\\nTXYZ.AI*([What is TXYZ.AI?])*\\nRelated + Papers\\n# Recommenders and Search Tools\\nLink to Influence Flower\\nInfluence + Flower*([What are Influence Flowers?])*\\nCore recommender toggle\\nCORE Recommender*([What + is CORE?])*\\n* Author\\n* Venue\\n* Institution\\n* Topic\\nAbout arXivLabs\\n# + arXivLabs: experimental projects with community collaborators\\narXivLabs is + a framework that allows collaborators to develop and share new arXiv features + directly on our website.\\nBoth individuals and organizations that work with + arXivLabs have embraced and accepted our values of openness, community, excellence, + and user data privacy. arXiv is committed to these values and only works with + partners that adhere to them.\\nHave an idea for a project that will add value + for arXiv's community?[**Learn more about arXivLabs**].\\n[Which authors of + this paper are endorsers?] |[Disable MathJax] ([What is MathJax?])\\nSummary: + None\\n\\nResolved Search Type: neural\\nCostDollars: total=0.015\\n - 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The term \\\"AI agent\\\" was redefined to include + systems capable of using software tools autonomously, not just generating + text (Source: *The Conversation*, December 29, 2025).\\n\\n2. **Technological + Milestones**:\\n - Late 2024 saw the release of Anthropic's Model Context + Protocol, enabling better tool integration for AI agents.\\n - Major models + like Chinese OpenAI's DeepSeek-R1 disrupted the market by introducing open-weight + models.\\n - Google launched the Agent2Agent protocol, facilitating communication + between multiple AI agents (Source: *The Conversation*, December 29, 2025).\\n\\n3. + **Emergence of New Tools**: By mid-2025, several \\\"agentic browsers\\\" + were introduced, fundamentally changing how users interact with technology, + enabling agents to perform tasks like booking vacations directly (Source: + *The Conversation*, December 29, 2025).\\n\\n4. **Risks and Ethical Concerns**: + As AI agents became more integrated into workflows, concerns about their misuse, + such as automating malicious activities, were raised. 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Do not plan ahead or worry about future steps.\n\nBefore acting, briefly + reason about what you need to do and which approach\nor tool would be most helpful + for this specific step."},{"role":"user","content":"## Current Step\nSummarize + the key findings from the research, focusing on the implementation of autonomous + AI agents in 2025, their learning capabilities, tool integration, and the emerging + governance and ethical concerns associated with them.\n\n## Context from previous + steps:\nStep 1 result: Here is a summary of recent developments in autonomous + AI agents in 2025:\n\n### Summary of Developments in Autonomous AI Agents (2025)\n\n1. + **Launch of AI Agents**: 2025 was a pivotal year for AI agents, as they moved + from the research stage to practical implementation across various industries. + The term \"AI agent\" was redefined to include systems capable of using software + tools autonomously, not just generating text (Source: *The Conversation*, December + 29, 2025).\n\n2. **Technological Milestones**:\n - Late 2024 saw the release + of Anthropic''s Model Context Protocol, enabling better tool integration for + AI agents.\n - Major models like Chinese OpenAI''s DeepSeek-R1 disrupted the + market by introducing open-weight models.\n - Google launched the Agent2Agent + protocol, facilitating communication between multiple AI agents (Source: *The + Conversation*, December 29, 2025).\n\n3. **Emergence of New Tools**: By mid-2025, + several \"agentic browsers\" were introduced, fundamentally changing how users + interact with technology, enabling agents to perform tasks like booking vacations + directly (Source: *The Conversation*, December 29, 2025).\n\n4. **Risks and + Ethical Concerns**: As AI agents became more integrated into workflows, concerns + about their misuse, such as automating malicious activities, were raised. Instances + of AI agents being used in cyberattacks highlighted the need for robust oversight + (Source: *The Conversation*, December 29, 2025).\n\n5. **Market Growth**: The + market for autonomous AI agents is projected to grow significantly, with estimates + reaching up to $9.9 billion in 2025 and continuing to expand due to elevated + enterprise adoption (Source: *Kodexolabs*, July 31, 2025).\n\n6. **Autonomous + Agent Characteristics**: These agents are characterized by their ability to + learn from environments, make decisions without human intervention, and handle + complex workflows efficiently (Source: *Kodexolabs*, July 31, 2025).\n\n7. **Integration + of Features**: The technology behind these agents now includes seamless natural + language processing capabilities, predictive analytics, automated compliance + and security features, and improved user experience interfaces (Source: *Rolustech*, + September 23, 2025).\n\n8. **Governance and Standards**: The Linux Foundation + announced the establishment of the Agentic AI Foundation to set standards guiding + the development and use of AI agents, aiming to enhance collaboration and security + (Source: *The Conversation*, December 29, 2025).\n\n9. **Future Perspectives**: + Looking ahead, key areas of focus will include improving the benchmarks for + AI agents, governance structures, and a continual assessment of the socio-technical + implications of increased automation (Source: *The Conversation*, December 29, + 2025).\n\nThese findings underscore a significant transformation in how AI agents + are poised to reshape industries while also presenting new challenges in governance + and ethics. 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A Complete Guide for 2025 and Beyond\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nJuly 31, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nTable + Of Contents\\n1. [Share This Article] \\n2. [Introduction] \\n3. [What Are + Autonomous AI Agents? Understanding the Fundamentals] \\n* [What Makes an + AI Agent Autonomous?] \\n* * [Autonomous Agents vs Traditional AI Systems] + \\n* * [Key Characteristics of Modern Autonomous Agents] \\n* [How Do Autonomous + AI Agents Work? Technical Architecture Explained] \\n* [Core Components of + Autonomous AI Systems] \\n* * [Types of Autonomous Agents by Intelligence + Level] \\n* * [Machine Learning Integration in Agent Architecture] \\n* [Autonomous + AI Agents 2025: Latest Developments and Technical Advancements] \\n* [Recent + Developments in Autonomous AI Agents 2025] \\n* * [Top Technical Advancements + Shaping 2025] \\n* * [Fully Autonomous AI Agents: What's Now Possible + in 2025] \\n* [Best Autonomous AI Agents Examples and Real-World Applications] + \\n* [Top Consumer Autonomous AI Agents] \\n* * [Enterprise and Business Applications] + \\n* * [Emerging Application Areas in 2025] \\n* * [Performance Metrics and + Success Stories] \\n* [The Role of Autonomous AI Agents in Business and Industry + Impact] \\n* [How Autonomous AI Agents Will Impact Industries in 2025] \\n* + * [Salesforce Autonomous Agents and CRM Integration] \\n* * [Autonomous Agents + Market Growth and Opportunities] \\n* * [Customer Service Revolution Through + AI Agents] \\n* [How to Build Autonomous AI Agents: Development and Implementation + Guide] \\n* [Essential Steps for Building Autonomous AI Agents] \\n* * [Best + Use Cases for Autonomous AI Agents] \\n* * [AI Agent Automation for Startups + in 2025] \\n* * [Integration with External Tools and Systems] \\n* * [Development + Challenges and Solutions] \\n* [Autonomous AI Agents vs Traditional Systems: + A Comprehensive Comparison] \\n* [Comparison of Autonomous AI Agents 2025 + vs Previous Generations] \\n* * [Most Advanced Autonomous AI Agents 2025: + Market Leaders] \\n* * [Human Workers vs Autonomous AI Agents: Collaborative + Future] \\n* * [Evolution from Reactive to Autonomous Systems] \\n* [Future + of Autonomous AI Agents: Trends and Predictions for 2025 and Beyond] \\n* + [How Autonomous AI Agents Are Shaping the Future] \\n* * [Top Trends in Autonomous + AI Agents 2025] \\n* * [What to Expect from Autonomous AI Agents in the Future] + \\n* * [Autonomous AI Agents in 2025 and Beyond: Technology Roadmap] \\n* + * [Challenges and Opportunities Ahead] \\n* [Geographic Trends and Regional + Variations in Autonomous AI Agent Adoption] \\n* [Factors Influencing Regional + Differences] \\n* * [Comparison of Regional Trends] \\n* * [Regional Market + Opportunities] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What are autonomous AI agents and how do they differ from regular AI?] + \\n* * [How can autonomous AI agents be used in business in 2025?] \\n* * + [What makes an AI agent truly autonomous?] \\n* * [What are the best examples + of autonomous AI agents available today?] \\n* * [How do I build autonomous + AI agents for my startup?] \\n* [Conclusion:] \\n* [Related Blogs] \\n## Share + This Article\\n![Illustration of an autonomous AI agent symbolizing the advancements + and potential of AI agents in 2025.] ## Introduction\\nAccording to recent + research, the global autonomous AI agents market is projected to reach[$9.9 + billion in 2025] and is anticipated to grow significantly to[$253.3 billion + by 2034], registering a strong CAGR of43.4%during the forecast period. This + explosive growth is driven by rapid enterprise adoption, continuous advancements + in artificial intelligence, and the expansion of automation across diverse + industries. North America is expected to command the largest market share + in 2025, holding about 40.7% of the global market.\\nThis comprehensive guide + explores autonomous AI agents’ fundamentals, applications, and 2025 + developments, providing essential insights for businesses, developers, and + decision-makers navigating AI transformation.\\n## What Are Autonomous AI + Agents? Understanding the Fundamentals\\nAutonomous AI agents are self-governing + systems that operate independently without constant human intervention, making + decisions and taking actions to achieve specific goals using machine learning + and environmental awareness.\\n[Autonomous AI agents] represent a significant + leap forward from traditional AI systems. Unlike conventional artificial intelligence + that requires explicit programming for every scenario, autonomous agents possess + the capability to learn, adapt, and make independent decisions based on their + environment and objectives. These systems combine[machine learning], natural + language processing, and real-time data analysis to create intelligent entities + that can operate with minimal human oversight.\\n**For example:**Learners + today can[learn French with Langua’s AI platform], which uses these + same principles to personalize instruction, track progress, and respond dynamically + to the user\u2019s input mirroring how autonomous agents behave in complex + business environments.\\nThe key distinction lies in their autonomy \u2013the + ability to perceive their environment, process information, make decisions, + and execute actions without waiting for human commands. This independence + makes them particularly valuable for businesses seeking to automate complex + processes, improve operational efficiency, and provide consistent service + delivery around the clock.\\n#####\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/07/What-Are-Autonomous-AI-Agents-A-Complete-Guide-for-2025.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\",\"title\":\"AI + Agent in 2025: How Autonomous Agents Redefine Workflows\",\"url\":\"https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\",\"publishedDate\":\"2025-09-23T00:00:00.000Z\",\"author\":\"Amer + Wilson\",\"text\":\"AI Agent in 2025: How Autonomous Agents Redefine Workflows\\n[] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* [Database Migration Services] + \\n* [Implementation Services] \\n* [Comprehensive Training Services] \\n* + [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] + \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* + [Natural Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic + AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* + [Conversational AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] + \\n* [AI Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* + [SaaS and Subscription Business AI Agents] \\n* [Legal and Compliance AI Agents] + \\n* [Financial AI Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] + \\n* [Website Development Solutions] \\n* [Microsoft Dynamics Services] \\n* + [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics Data Migration] + \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft Dynamics Support + and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* [HubSpot Services] + \\n* [HubSpot CMS Customization Services] \\n* [HubSpot Training Service] + \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration Service] \\n* + [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full Stack Development] + \\n* [Full Stack Web & Mobile App Development] \\n* [Full Stack Security + & Compliance Services] \\n* [Full Stack Migration & Porting Services] + \\n* [Full Stack Web Hosting Services] \\n* [Full Stack E-Commerce Solutions] + \\n* [Full Stack API & Integration Services] \\n* [Full Stack Custom Development] + \\n* [Full Stack Data Dashboard Development Services] \\n* [Full Stack Enterprise + Solutions] \\n* [Full Stack Cloud Support Services] \\n* [Product Development] + \\n* [Product Design] \\n* [Product Development Implementation Services] \\n* + [Product Support & Maintenance] \\n* [Machine Learning Services] \\n* + [Mobile Application Development] \\n* [X2CRM] \\n* [Web Development] \\n* + Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] \\n* [About] + \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization + and Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* + [Consulting Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] + \\n* [Industry Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & + Configuration Solutions] \\n* [Integration Services] \\n* [SugarCRM Database + Migration Services] \\n* [Support & Maintenance] \\n* [Development Services] + \\n* [Plugins] \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM + Custom Fields Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: + A Complete Guide to SugarCRM] \\n* [Artificial Intelligence Services] \\n* + [AI Agents] \\n* [Natural Language Processing] \\n* [Retrieval Augmented Generation] + \\n* [Agentic AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI + Solutions] \\n* [Conversational AI & Chatbots] \\n* [AI Optimization] + \\n* [AI Implementation] \\n* [AI Industry Verticals] \\n* [Retail, Events, + and CX AI Agents] \\n* [SaaS and Subscription Business AI Agents] \\n* [Legal + and Compliance AI Agents] \\n* [Financial AI Agents] \\n* [Monday CRM Services] + \\n* [Shopify Services] \\n* [Website Development Solutions] \\n* [Microsoft + Dynamics Services] \\n* [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics + Data Migration] \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft + Dynamics Support and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* + [HubSpot Services] \\n* [HubSpot CMS Customization Services] \\n* [HubSpot + Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration + Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full + Stack Development] \\n* [Full Stack Web & Mobile App Development] \\n* + [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full + Stack E-Commerce Solutions] \\n* [Full Stack API & Integration Services] + \\n* [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* + [Web Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* + [Case Studies] \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] + \\n**\\nContact us\\n[] [] \\n# AI Agent in 2025: How Autonomous Agents Are + Redefining Workflows\\n* [Your Partner in CRM, Custom Software & AI Solutions] + \\n* [Blog] \\n* AI Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* + **September 23, 2025\\n* **By[Amer Wilson] \\n* **[Blog] \\n## The Future + of Smarter Workflows\\nThe year 2025 is a defining moment for[AI agents]. + They\u2019ve moved far beyond experimental use.\\nToday, AI-powered agents + handle critical business tasks, manage data, and automate complex workflows. + What was once a futuristic idea is now a practical reality. Autonomous AI + agents are revolutionizing the way businesses operate.\\nThese tools offer + speed, accuracy, and scalability. Companies adopting AI workflow automation + are setting new standards for efficiency.\\nLet\u2019s dive into why AI agent + use cases are becoming central to modern business operations.\\n## Why Businesses + Can\u2019t Ignore AI Agents Anymore\\nThe simple answer: efficiency. AI agents + streamline repetitive tasks that consume time and resources.\\nMistakes in + manual processes can be costly. AI-powered agents complete tasks with consistent + accuracy. Scalability is another driver. Humans can multitask, but autonomous + AI agents handle hundreds of tasks simultaneously.\\nThis power enables rapid + growth, particularly in industries such as healthcare,[finance], and e-commerce.\\nMore + importantly, automation frees employees from routine work. With AI workflow + automation, they focus on creativity and strategy.\\nThe benefits are clear: + better results, reduced costs, and faster operations. Businesses can\u2019t + afford to ignore them.\\n## AI Agents Explained: What They Really Do in 2025\\nSo, + what exactly is an AI agent? At its core, it\u2019s a digital decision-maker.\\nUnlike + traditional bots, autonomous AI agents don\u2019t just follow commands. They + learn, adapt, and improve. They integrate with systems like[CRM] s, ERPs, + and analytics platforms. This makes AI workflow automation seamless.\\nFor + instance, a customer service AI agent can analyze past cases and resolve issues + faster.\\nIn finance, AI-powered agents detect fraud by spotting unusual transaction + patterns in real-time.\\nSome popular AI agent use cases include HR onboarding, + lead qualification, inventory monitoring, and IT helpdesk support.\\nWherever + there\u2019s repetitive, data-heavy work, autonomous AI agents are stepping + in.\\n## What\u2019s New with Autonomous AI Agents in 2025\\nSeveral advancements + are expected to enhance the capabilities of AI agents in 2025.\\nFirst, natural + language capabilities have evolved. Teams interact with AI-powered agents + using plain English commands.\\nSecond, cross-platform integration is seamless. + Autonomous AI agents seamlessly integrate CRMs, ERPs, and communication apps. + For example, an AI agent can fetch customer data, update invoices, and send + email alerts instantly.\\nThird, compliance and security features have matured. + Companies trust the best AI agent tools with sensitive data.\\nFourth, predictive + insights are now standard. AI agents forecast outcomes and suggest smarter + actions.\\nFinally, the user experience has improved dramatically. Drag-and-drop + builders simplify the design of AI workflow automation.\\nTogether, these + innovations make autonomous AI agents indispensable\",\"image\":\"https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-26.png\",\"favicon\":\"https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\"},{\"id\":\"https://kodexolabs.com/how-to-build-an-ai-agent/\",\"title\":\"Build + an AI Agent in 2025 | Cost, Benefits & Real Use Cases\",\"url\":\"https://kodexolabs.com/how-to-build-an-ai-agent/\",\"publishedDate\":\"2025-08-05T00:00:00.000Z\",\"author\":null,\"text\":\"Build + an AI Agent in 2025 | Cost, Benefits & Real Use Cases[Skip to content] + \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### + Generative AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT + Dev & Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] + ### Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI + Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model + Development] \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] + \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] + \\n### Software Development\\n* [Software Development Services] \\n* [Custom + Product Development] \\n* [Software Consulting] \\n* [Mobile App Development] + \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* + [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A + Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# How to Build + an AI Agent in 2025: Cost, Benefits & Real-World Examples\\nSyed Ali + Hasan Shah\\n[Agentic AI] \\nAugust 5, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nAugust 5, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [What You Need to Know About Building AI Agents] \\n3. [What Is an AI Agent + and Why Build One in 2025?] \\n* [What Makes an AI Agent Different from Traditional + AI?] \\n* * [Key Components of Modern AI Agents] \\n* [Step-by-Step Guide: + How to Build an AI Agent] \\n* [Step 1: Requirements Analysis and Planning] + \\n* * [Step 2: Data Collection and Preparation] \\n* * [Step 3: Model Development + and Training] \\n* * [A Practical Guide to Building AI Agents: Implementation + Checklist] \\n* [AI Agent Builder Platforms and Tools in 2025] \\n* [Best + AI Agent Builder Platforms for Different Needs] \\n* * [Custom AI Agent Builder + vs. Platform Solutions] \\n* * [Key Features to Evaluate in AI Agents Builder + Platforms] \\n* [Cost Analysis: How Much Does It Cost to Build an AI Agent?] + \\n* [How Much Does It Cost to Build an AI Agent: Detailed Breakdown] \\n* + * [AI Agent Development Costs by Complexity Level] \\n* * [How Do AI Agents + Contribute to Cost Reduction in Businesses?] \\n* [Benefits of Agentic AI: + Transforming Business Operations] \\n* [Core Benefits of Using AI Agents] + \\n* * [Benefits of Agents in AI-Driven Industries] \\n* * [Measurable Business + Impact] \\n* [Real-World Examples of AI Agents Across Industries] \\n* [What + Is an Agentic AI Example in Customer Service?] \\n* * [Examples of AI Agents + in Healthcare and Medical Applications] \\n* * [Transportation and Smart City + Examples] \\n* * [Industrial and Manufacturing Applications] \\n* [What Industries + Are Benefiting Most from Agentic AI?] \\n* [What Industries Are Currently + Benefiting from Agentic AI?] \\n* * [Manufacturing and Industrial Applications] + \\n* * [Emerging Industry Applications] \\n* * [What Industries Are Seeing + the Most Benefits from AI Agents?] \\n* [Future Trends and Evolution of AI + Agents] \\n* [Next-Generation AI Agent Capabilities] \\n* * [Connected Ecosystem + Integration] \\n* * [Industry-Specific Future Applications] \\n* [At a Glance: + Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What is an AI agent + example?] \\n* * [How much does an AI agent cost?] \\n* * [How to build a + AI agent?] \\n* * [What industries are benefiting the most from agentic AI?] + \\n* * [What are examples of agentic AI?] \\n* * [How do AI agents contribute + to cost reduction in businesses?] \\n* [Conclusion:] \\n* [Related Blogs] + \\n## Share This Article\\n![A glowing 3D AI agent robot hovering on a digital + platform, representing futuristic AI agent builders, no-code AI tools and + autonomous decision-making in 2025.] ## What You Need to Know About Building + AI Agents\\nDid you know that[70% of businesses plan to implement AI agents + by 2025] to automate complex workflows and enhance customer experiences? Building + an AI agent has evolved from a technical luxury to a business necessity, with + organizations leveraging agentic AI to streamline operations and drive innovation. + This comprehensive guide explores how to build an AI agent in 2025, covering + essential costs, transformative benefits, and real-world examples across industries.\\n[AI + agents] represent the next evolution in business automation, offering autonomous + decision-making capabilities that transform how organizations operate. Unlike + traditional AI systems that simply respond to inputs, AI agents perceive their + environment, analyze data, make decisions, and execute actions independently. + The growing demand for intelligent automation has made[AI development] a strategic + priority for businesses seeking competitive advantages in 2025.\\nModern AI + agents combine Machine Learning algorithms with Natural Language Processing + to create sophisticated systems capable of handling complex business processes. + From customer service automation to predictive maintenance in manufacturing, + these intelligent systems deliver measurable improvements in efficiency, accuracy, + and cost reduction. Organizations implementing AI agents report 25-40% operational + savings and[50-70% faster task completion rates].\\nThis comprehensive guide + addresses the critical questions businesses face when considering AI agent + development: implementation strategies, cost structures, measurable benefits, + and proven real-world applications across industries. Whether you’re + exploring no-code solutions or custom development approaches, understanding + these fundamentals ensures successful AI agent deployment that drives meaningful + business results.\\n## What Is an AI Agent and Why Build One in 2025?\\nAn + AI agent is an autonomous system that perceives its environment, makes decisions, + and takes actions to achieve specific goals, becoming essential for business + automation and intelligent task execution in 2025.\\nAI agents differ fundamentally + from traditional automation tools through their ability to learn, adapt, and + make independent decisions based on changing conditions. These systems combine + artificial intelligence technologies with real-time data processing to create + intelligent solutions that continuously improve performance without human + intervention. In 2025, businesses are prioritizing AI agent development as + a strategic investment in operational efficiency and competitive positioning.\\n##### + Stay Updated\u2014Join Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss + on the latest updates in the world of AI. We dispatch custom reports and newsletters + every week, with forecasts on trends to come. Join our community now!\\n### + What Makes an AI Agent Different from Traditional AI?\\nTraditional AI systems + require specific\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/08/How-to-Build-an-AI-Agent-in-2025-Cost-Benefits-and-Real-World-Examples.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/agentic-rag-with-ai-agents/\",\"title\":\"Agentic + RAG: Enhancing Retrieval-Augmented Generation with AI Agents\",\"url\":\"https://kodexolabs.com/agentic-rag-with-ai-agents/\",\"publishedDate\":\"2025-09-22T00:00:00.000Z\",\"author\":\"\",\"text\":\"Agentic + RAG: AI Agents Improve Retrieval-Augmented Generation[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# Agentic RAG: + Enhancing Retrieval-Augmented Generation with AI Agents\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nSeptember 22, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nSeptember + 22, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. [The Future of + Intelligent Information Retrieval] \\n3. [What is Agentic RAG in AI? Understanding + Core Concepts] \\n* [Defining Agentic Retrieval-Augmented Generation] \\n* + * [Key Components of Agentic RAG Architecture] \\n* [How Agentic RAG Improves + Retrieval-Augmented Generation Performance] \\n* [Intelligent Query Formulation + and Refinement] \\n* * [Performance Metrics and Benchmarks] \\n* [AI Agent-Powered + RAG Frameworks: Technical Implementation] \\n* [System Architecture Components] + \\n* * [Implementation Steps and Best Practices] \\n* [Enterprise Integration: + Can Agentic RAG Work with Existing AI Systems?] \\n* [Enterprise Data Source + Compatibility] \\n* * [Implementation Timeline and Considerations] \\n* [Industry + Applications: Transforming Sectors with Agentic RAG] \\n* [Healthcare and + Medical Research Applications] \\n* * [Legal and Compliance Applications] + \\n* [Advanced Multi-Agent Collaboration in RAG Systems] \\n* [Specialized + Agent Architectures] \\n* * [Coordination Mechanisms and Communication Protocols] + \\n* [User Experience and Business Value Optimization] \\n* [Performance Optimization + Strategies] \\n* * [Data Privacy and Security Implementation] \\n* [Technology + Stack: From Vector Stores to Large Language Models] \\n* [Essential Development + Frameworks and Tools] \\n* * [Vector Database Selection and Optimization] + \\n* [Future Trends and Emerging Applications] \\n* [Next-Generation Capabilities + and Features] \\n* * [Market Trends and Investment Patterns] \\n* [At a Glance: + Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What is the difference + between traditional RAG and agentic RAG?] \\n* * [How can agentic RAG improve + accuracy in enterprise applications?] \\n* * [Can agentic RAG integrate with + existing customer support systems?] \\n* * [What programming languages and + tools are needed for agentic RAG implementation?] \\n* * [How does multi-agent + collaboration work in RAG systems?] \\n* * [What are the main benefits of + implementing agentic RAG for businesses?] \\n* [Conclusion: Transforming Information + Systems for the Future] \\n* [Related Blogs] \\n## Share This Article\\n![Illustration + of an AI agent enhancing retrieval-augmented generation (RAG) with autonomous + decision-making, representing Agentic AI with RAG to improve accuracy and + performance.] ## The Future of Intelligent Information Retrieval\\nWhat if + AI systems could not just retrieve information but intelligently reason about + what they find? Agentic RAG represents the next evolution in retrieval-augmented + generation, combining AI agents with traditional RAG systems to create more + intelligent, autonomous information processing capabilities. This comprehensive + guide explores how businesses can leverage[agentic AI] with RAG to transform + their knowledge management and[content generation] processes.\\nThis blog + explores Agentic RAG’s revolutionary approach to enhancing retrieval-augmented + generation with[AI agents], offering practical insights for developers, businesses, + and IT professionals seeking advanced[artificial intelligence] solutions.\\n## + What is Agentic RAG in AI? Understanding Core Concepts\\nAgentic RAG combines[autonomous + AI agents] with retrieval-augmented generation to create intelligent systems + that can independently query, analyze, and synthesize information from knowledge + bases, delivering[50% higher accuracy] than traditional RAG approaches.\\nAgentic + RAG represents a paradigm shift in how AI systems process and retrieve information. + Unlike traditional RAG systems that follow predetermined retrieval patterns, + AI agents in agentic RAG make autonomous decisions about when, what, and how + to retrieve information based on contextual understanding.\\n### Defining + Agentic Retrieval-Augmented Generation\\nAgentic RAG integrates autonomous + AI agents into traditional retrieval-augmented generation systems, enabling + intelligent decision-making about information retrieval strategies. According + to 2024 AI Trends Report, agentic systems demonstrate superior performance + in complex, multi-domain knowledge retrieval scenarios where traditional approaches + often fail.\\nThe system architecture incorporates planning modules that analyze + user queries, execution agents that perform retrieval operations, and evaluation + mechanisms that assess result quality. This multi-layered approach enables + dynamic adaptation to user needs and context changes.\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, + with forecasts on trends to come. Join our community now!\\n#### What Makes + Agentic RAG Different?\\nAgentic RAG systems possess autonomous reasoning + capabilities that allow them to modify retrieval strategies mid-process, unlike + traditional RAG systems that follow fixed patterns regardless of context or + result quality.\\n### Key Components of Agentic RAG Architecture\\n* **Planning + Agent:**Analyzes user queries and develops retrieval strategies\\n* **Execution + Agent:**Performs actual information retrieval operations\\n* **Memory System:**Maintains + context across multiple interactions\\n* **Evaluation Module:**Assesses and + improves retrieval quality continuously|Component|Traditional RAG|Agentic + RAG|\\nQuery Processing|Static patterns|Dynamic analysis|\\nRetrieval Strategy|Predetermined|Adaptive|\\nContext + Awareness|Limited|Comprehensive|\\n\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/09/Enhancing-RAG-with-AI-Agents.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/agentic-ai-use-cases/\",\"title\":\"Top + 7 Agentic AI Use Cases in 2025 With Real-World Examples\",\"url\":\"https://kodexolabs.com/agentic-ai-use-cases/\",\"publishedDate\":\"2025-08-04T00:00:00.000Z\",\"author\":null,\"text\":\"Top + 7 Agentic AI Use Cases in 2025 With Real-World Examples[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# 7 Promising + Agentic AI Use Cases with Real-World Business Examples for 2025\\nSyed Ali + Hasan Shah\\n[Agentic AI] \\nAugust 4, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nAugust 4, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [Introduction] \\n3. [What Are Agentic AI Use Cases and Why They Matter in + 2025?] \\n* [Understanding Autonomous AI Agents vs Traditional AI Systems] + \\n* * [Core Components of Agentic AI Systems] \\n* * [Market Size and Growth + Projections] \\n* [1- Top Agentic AI Use Cases in Healthcare with Real-Life + Examples] \\n* [Autonomous Medical Imaging and Diagnostics] \\n* * [Clinical + Decision Support Systems] \\n* * [Automated Clinical Trial Management] \\n* + [2- Agentic AI Use Cases in Sales Companies and Performance Optimization] + \\n* [Autonomous Lead Qualification and Scoring] \\n* * [Predictive Sales + Forecasting and Analytics] \\n* * [Personalized Customer Engagement and Recommendations] + \\n* * [Salesforce Agentic AI Use Cases Implementation] \\n* [3- Agentic AI + Use Cases in Customer Service, Supply Chain and Risk Management] \\n* [Customer + Service Automation and Support] \\n* * [Supply Chain Management and Optimization] + \\n* * [Automated Fraud Detection and Risk Management] \\n* [4- Agentic AI + Use Cases in Retail with Real-Life Examples] \\n* [Intelligent Inventory Management + Systems] \\n* * [Personalized Shopping and Recommendation Engines] \\n* * + [Dynamic Pricing and Revenue Optimization] \\n* * [Autonomous Customer Experience + Management] \\n* [5- Agentic AI Use Cases in Manufacturing, Finance, Education + and Energy] \\n* [Manufacturing and Industrial Applications] \\n* * [Financial + Services and Banking] \\n* * [Education and Learning Management] \\n* * [Energy + and Utilities Industry Applications] \\n* [6- Future-Ready Agentic AI Use + Cases for Enterprises Worldwide] \\n* [Autonomous Workflow Orchestration] + \\n* * [Multi-Agent System Collaboration] \\n* * [Adaptive Business Process + Optimization] \\n* * [Enterprise AI Workflows and Integration] \\n* [Geographic + Trends and Regional Variations in Agentic AI Adoption] \\n* [Factors Influencing + Regional Differences] \\n* * [Comparison of Regional Trends] \\n* * [Market + Size Variations by Region] \\n* [7- Agentic AI Use Cases for Decision-Making + and Automation] \\n* [Autonomous Resource Allocation and Management] \\n* + * [Real-Time Risk Assessment and Mitigation] \\n* * [Adaptive Strategy Optimization] + \\n* * [Autonomous Business Intelligence and Analytics] \\n* [Implementation + Guide for Agentic AI Systems in Modern Businesses] \\n* [1. Technical Infrastructure + Requirements] \\n* * [2. AI Model Selection and Development] \\n* * [3. Change + Management and User Adoption] \\n* * [4. Security and Compliance Considerations] + \\n* [Measuring Success and ROI from Agentic AI Implementations] \\n* [Key + Performance Indicators for Agentic AI] \\n* * [ROI Calculation Framework] + \\n* * [Performance Monitoring and Optimization] \\n* [At a Glance: Key Takeaways] + \\n* [Frequently Asked Questions] \\n* [What are the most effective Agentic + AI use cases in 2025?] \\n* * [Which industries benefit most from Agentic + AI in 2025?] \\n* * [How do agentic AI use cases deliver ROI for businesses?] + \\n* * [What are real-life examples of successful agentic AI implementations?] + \\n* * [How can startups implement agentic AI use cases effectively?] \\n* + [Conclusion] \\n* [Related Blogs] \\n## Share This Article\\n![A smiling businesswoman + interacts with an AI dashboard surrounded by AI robots, charts, coins and + analytics, symbolizing agentic AI use cases across industries like healthcare, + sales and retail in 2025.] ## Introduction\\nWhat if AI agents could autonomously + handle complex business processes, make intelligent decisions and deliver + measurable ROI without constant human oversight? Agentic AI use cases are + revolutionizing how enterprises operate in 2025, with autonomous systems transforming + everything from customer service to supply chain management. This comprehensive + guide explores 7 promising agentic AI applications with real-world business + examples that demonstrate tangible value across industries.\\nThis blog explores + 7 promising agentic AI use cases with real-world business examples for 2025, + offering actionable insights for enterprises seeking autonomous AI solutions + that deliver measurable ROI and operational efficiency.\\n## What Are Agentic + AI Use Cases and Why They Matter in 2025?\\nAgentic AI use cases involve autonomous + AI systems that can make independent decisions, execute complex tasks, and + adapt to changing conditions without human intervention, representing a[$196.6 + billion market opportunity by 2034].\\nAgentic AI represents the next evolution + of artificial intelligence, where systems function as autonomous agents capable + of independent decision-making and goal-oriented behavior. Unlike traditional + AI systems that require constant human oversight,[agentic AI applications] + can analyze complex situations, adapt to changing environments, and execute + multi-step processes autonomously.\\n### Understanding Autonomous AI Agents + vs Traditional AI Systems\\nTraditional AI systems operate within predefined + parameters, responding to specific inputs with programmed outputs. In contrast, + autonomous agents leverage advanced[machine learning] algorithms\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/08/7-Promising-Agentic-AI-Use-Cases-with-Real-World-Business-Examples-for-2025.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/top-agentic-ai-platforms/\",\"title\":\"Top + Agentic AI Platforms in 2025: A Complete Guide for Businesses\",\"url\":\"https://kodexolabs.com/top-agentic-ai-platforms/\",\"publishedDate\":\"2025-10-07T00:00:00.000Z\",\"author\":null,\"text\":\"Top + Agentic AI Platforms 2025 | Business Automation Guide[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# Top Agentic + AI Platforms in 2025: A Complete Guide for Businesses\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nOctober 7, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nOctober 7, + 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. [Introduction:] \\n3. + [What Are Agentic AI Platforms and Why They Matter in 2025] \\n* [Understanding + Agentic Systems vs Traditional AI] \\n* * [Core Components of Agentic AI Platforms] + \\n* * [Market Impact and 2025 Projections] \\n* [Top Agentic AI Platforms + for Business in 2025] \\n* [Enterprise-Grade Platforms] \\n* * [Platform Comparison + Matrix] \\n* * [Platform Selection Criteria] \\n* [Best Agentic AI Platforms + for Business Applications] \\n* [Enterprise Workflow Automation] \\n* * [Customer + Relationship Management Enhancement] \\n* * [Operational Intelligence and + Analytics] \\n* [Key Features and Integration Capabilities of AI Agent Platforms] + \\n* [What Are the Integration Capabilities of AI Agent Platforms?] \\n* * + [Core Technical Features] \\n* * [Advanced Capabilities] \\n* [Platforms to + Build AI Agents: Development and Creation Tools] \\n* [What Is the Best Platform + to Build AI Agents?] \\n* * [Development Tools and Frameworks] \\n* * [Technical + Implementation Considerations] \\n* [Which AI Agent Platform Is Best for Small + Businesses] \\n* [Which AI Agent Platform Is Best for Small Businesses?] \\n* + * [Cost-Effective Platform Options] \\n* * [How Do AI Agent Platforms Help + Businesses Scale?] \\n* [What Industries Benefit Most from AI Agent Platforms] + \\n* [What Industries Benefit Most from AI Agent Platforms?] \\n* * [Customer + Service and Support Applications] \\n* * [Industry-Specific Use Cases] \\n* + [Microsoft Ecosystem and Enterprise Integration] \\n* [Microsoft Copilot Studio + Platform Overview] \\n* * [Microsoft Azure Integration Advantages] \\n* * + [Enterprise Ecosystem Benefits] \\n* [Advanced Features and Market Innovations] + \\n* [Agent Marketplaces and Ecosystem Development] \\n* [What Is Advanced + Sentiment Analysis?] \\n* [Next-Generation Interaction Models] \\n* * [2025 + Market Trends and Predictions] \\n* [Implementation Strategy and Best Practices] + \\n* [Strategic Planning and Platform Selection] \\n* * [Deployment Methodology + and Phases] \\n* * [Success Factors and Key Performance Indicators] \\n* [At + a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [Does OpenAI + Have an Agentic AI Platform?] \\n* * [What Is the Best AI Agent Platform for + Specific Industries?] \\n* * [How Much Do AI Agent Platforms Cost for Small + Businesses?] \\n* * [What Are the Security Considerations for AI Agent Platforms?] + \\n* * [How Long Does It Take to Implement an AI Agent Platform?] \\n* * [Can + Agentic AI Platforms Integrate with Legacy Systems?] \\n* [Conclusion: Embracing + the Agentic AI Revolution] \\n* [Related Blogs] \\n## Share This Article\\n![Robot + sitting at a control desk with multiple screens, symbolizing top agentic AI + platforms in 2025 for businesses, automation and AI agent creation platforms.] + ## Introduction:\\nAre businesses ready for the autonomous AI revolution that’s + transforming enterprise operations in 2025? Top agentic AI platforms are enabling + companies to deploy intelligent agents that can make decisions, execute tasks, + and interact with customers independently, fundamentally changing how organizations + operate. This comprehensive guide explores the leading agentic AI platforms, + their capabilities, and strategic implementation approaches for modern businesses.\\nThis + blog explores top agentic AI platforms in 2025, offering businesses, developers, + and decision-makers practical insights into platform selection, implementation, + and strategic advantages across industries.\\n## What Are Agentic AI Platforms + and Why They Matter in 2025\\nAgentic AI platforms are autonomous systems + that enable AI agents to make independent decisions, execute tasks, and interact + with environments without constant human oversight, revolutionizing[business + automation capabilities].\\nThe evolution of agentic AI represents a fundamental + shift from[reactive automation to proactive intelligence]. Unlike traditional + AI tools that respond to commands, agentic systems demonstrate true autonomy + by making contextual decisions, learning from outcomes, and adapting strategies + in real-time. According to recent research, agentic AI platforms are projected + to improve business[productivity by 30% through 2035].\\n### Understanding + Agentic Systems vs Traditional AI\\nTraditional AI systems operate within + predefined parameters, executing specific tasks when triggered by human input + or predetermined conditions.[Agentic AI] systems, however, possess reasoning + capabilities that enable autonomous goal pursuit, dynamic problem-solving, + and independent task orchestration.\\n* **Reactive AI:**Responds to specific + inputs with predetermined outputs\\n* **Agentic AI:**Initiates actions based + on environmental analysis and goal optimization\\n* **Decision-making:**Evaluates + multiple options and selects optimal strategies autonomously\\n* **Learning + adaptation:**Continuously improves performance through experience accumulation\\n##### + Stay Updated\u2014Join Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss + on the latest updates in the world of AI. We dispatch custom reports and newsletters + every week, with forecasts on trends to come. Join our community\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/10/Top-Agentic-AI-Platforms.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://www.rolustech.com/blog/the-rise-of-agentic-ai-applications-benefits-and-real-world-use-cases\",\"title\":\"The + Rise of Agentic AI : Applications, Benefits, and Real-World Use Cases\",\"url\":\"https://www.rolustech.com/blog/the-rise-of-agentic-ai-applications-benefits-and-real-world-use-cases\",\"publishedDate\":\"2025-09-24T00:00:00.000Z\",\"author\":\"Sarah + Meyers\",\"text\":\"The Rise of Agentic AI: Benefits and Applications\\n[![Link.png]] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* [Database Migration Services] + \\n* [Implementation Services] \\n* [Comprehensive Training Services] \\n* + [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] + \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* + [Natural Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic + AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* + [Conversational AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] + \\n* [AI Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* + [SaaS and Subscription Business AI Agents] \\n* [Legal and Compliance AI Agents] + \\n* [Financial AI Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] + \\n* [Website Development Solutions] \\n* [Microsoft Dynamics Services] \\n* + [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics Data Migration] + \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft Dynamics Support + and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* [HubSpot Services] + \\n* [HubSpot CMS Customization Services] \\n* [HubSpot Training Service] + \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration Service] \\n* + [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full Stack Development] + \\n* [Full Stack Web & Mobile App Development] \\n* [Full Stack Security + & Compliance Services] \\n* [Full Stack Migration & Porting Services] + \\n* [Full Stack Web Hosting Services] \\n* [Full Stack E-Commerce Solutions] + \\n* [Full Stack API & Integration Services] \\n* [Full Stack Custom Development] + \\n* [Full Stack Data Dashboard Development Services] \\n* [Full Stack Enterprise + Solutions] \\n* [Full Stack Cloud Support Services] \\n* [Product Development] + \\n* [Product Design] \\n* [Product Development Implementation Services] \\n* + [Product Support & Maintenance] \\n* [Machine Learning Services] \\n* + [Mobile Application Development] \\n* [X2CRM] \\n* [Web Development] \\n* + Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] \\n* [About] + \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization + and Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* + [Consulting Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] + \\n* [Industry Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & + Configuration Solutions] \\n* [Integration Services] \\n* [SugarCRM Database + Migration Services] \\n* [Support & Maintenance] \\n* [Development Services] + \\n* [Plugins] \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM + Custom Fields Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: + A Complete Guide to SugarCRM] \\n* [Artificial Intelligence Services] \\n* + [AI Agents] \\n* [Natural Language Processing] \\n* [Retrieval Augmented Generation] + \\n* [Agentic AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI + Solutions] \\n* [Conversational AI & Chatbots] \\n* [AI Optimization] + \\n* [AI Implementation] \\n* [AI Industry Verticals] \\n* [Retail, Events, + and CX AI Agents] \\n* [SaaS and Subscription Business AI Agents] \\n* [Legal + and Compliance AI Agents] \\n* [Financial AI Agents] \\n* [Monday CRM Services] + \\n* [Shopify Services] \\n* [Website Development Solutions] \\n* [Microsoft + Dynamics Services] \\n* [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics + Data Migration] \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft + Dynamics Support and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* + [HubSpot Services] \\n* [HubSpot CMS Customization Services] \\n* [HubSpot + Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration + Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full + Stack Development] \\n* [Full Stack Web & Mobile App Development] \\n* + [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full + Stack E-Commerce Solutions] \\n* [Full Stack API & Integration Services] + \\n* [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* + [Web Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* + [Case Studies] \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] + \\n**\\nContact us\\n[![Rolustech]] [![Rolustech]] \\n# The Rise of Agentic + AI : Applications, Benefits, and Real-World Use Cases\\n* [Your Partner in + CRM, Custom Software & AI Solutions] \\n* [Blog] \\n* The Rise of Agentic + AI : Applications, Benefits, and Real-World Use Cases\\n![Blog Banner for + Rolustech (27)] \\n* **September 24, 2025\\n* **By[Sarah Meyers] \\n* **[Blog] + \\nThe future of artificial intelligence is here, and it\u2019s called[agentic + AI]. Unlike traditional AI models that only process information, agentic AI + systems can plan, act, and learn independently.\\nThis new wave of intelligence + is designed to operate with autonomy. Autonomous agentic AI is not just a + tool, it\u2019s a decision-maker. It handles tasks, adjusts strategies, and + communicates with other systems in real-time.\\nBusinesses worldwide are exploring + agentic AI applications. From finance to healthcare, companies are discovering + how this technology transforms operations. The future of agentic AI is filled + with possibilities, and it\u2019s reshaping how work gets done.\\n## Why Agentic + AI Matters for Businesses\\nWhy is agentic AI gaining so much attention in + 2025? The reason is simple impact.\\nCompanies are moving beyond basic automation. + Agentic AI systems bring autonomy, adaptability, and intelligence to workflows.\\nEfficiency + is another factor. Autonomous agentic AI completes tasks faster and with fewer + errors. It also scales easily, handling multiple processes at once.\\nThe + business case is clear: cost savings, increased productivity, and smarter + decision-making. That\u2019s why many executives view the agentic AI framework + as essential, not optional.\\nFor organizations wanting to stay competitive, + adopting agentic AI applications is no longer a futuristic idea, it\u2019s + a necessity.\\n![Agentic AI] \\n## What Exactly Is Agentic AI?\\nAt its core, + agentic[AI] is a new model of intelligence designed to act independently.\\nUnlike + traditional AI that relies on constant instructions, autonomous agentic AI + sets goals, adapts to changes, and executes tasks without constant oversight.\\nIt + combines machine learning, natural language processing, and reasoning. This + enables agentic AI systems to make decisions at scale.\\nKey agentic AI applications + include:\\n* Customer service automation with adaptive responses\\n* [Financial] + analysis and fraud detection\\n* Supply chain monitoring with predictive adjustments\\n* + Personalized healthcare recommendations\\nThe agentic AI framework ensures + flexibility, scalability, and integration across industries. That\u2019s why + it\u2019s becoming central to the future of agentic AI.\\n## What\u2019s New + with Agentic AI in 2025\\nSo, what\u2019s different about agentic AI systems + today compared to earlier AI?\\n**First**, autonomy has advanced. Autonomous + agentic AI no longer waits for instructions, it identifies problems and solves + them.\\n**Second**, integration is seamless. Modern agentic AI applications + seamlessly connect to[CRM] s, ERPs, and cloud platforms.\\n**Third**, reasoning + has improved. With the agentic AI framework, systems not only analyze but + also explain their decisions.\\n**Finally**, collaboration is real. Agentic + AI systems can communicate with each other, creating networks\",\"image\":\"https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-27.png\",\"favicon\":\"https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\"},{\"id\":\"https://kodexolabs.com/business-automation-with-ai-agents/\",\"title\":\"AI + Agents for Smarter Business Automation in 2025 - Kodexo Labs\",\"url\":\"https://kodexolabs.com/business-automation-with-ai-agents/\",\"publishedDate\":\"2025-09-26T00:00:00.000Z\",\"author\":null,\"text\":\"AI + Agents for Smarter Business Automation in 2025[Skip to content] \\n[![]] \\n[About + us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative AI\\n* + [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & Integration] + \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### Product Designing\\n* + [Product Designing] \\n### AI Development\\n* [AI Development] \\n* [AI Chatbot + Development] \\n* [AI Consulting] \\n* [AI Model Development] \\n* [Custom + AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML Consulting] + \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### Software Development\\n* + [Software Development Services] \\n* [Custom Product Development] \\n* [Software + Consulting] \\n* [Mobile App Development] \\n* [Web App Development] ### Data + Engineering\\n* [Data Engineering] \\n* [Data Analytics] \\n* [Data Annotation] + \\n[Who We Serve] \\n![]![] [Get A Free AI Chatbot] \\n[### HealthCare\\n] + EHR Systems, AI based Interviews and Medical Imaging Software[### EdTech\\n] + Personalized Learning, AI based Tutor Systems and Gamification Experiences[### + Fintech\\n] AI powered Trend Forecasting and Predicative Analytics\\n[### + Energy\\n] Smart Grid Solutions and AI based Resource Monitoring[### Automotive\\n] + Predictive Maintenance, Driver Assistance and AI Chatbots[### Real Estate\\n] + AI Home Management and AI based Real Estate Evaluation Systems\\n[### IT and + Tech\\n] AI powered Ticket Generation and Automated Software Production[### + Marketing\\n] Customer Churn Prediction, Customer Segmentation and AI based + Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### IT Staff + Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### Hire + Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career + in AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# The Future of Business Automation Starts with AI Agents\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nSeptember 26, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nSeptember 26, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [Why Business Automation with AI Agents Matters Now] \\n3. [What Are AI Agents + and Why They're Revolutionizing Business Process Automation] \\n* [What + Makes AI Agents Different from Traditional Automation] \\n* * [The AI Agent + Era: Key Characteristics] \\n* * [Real-World Impact Statistics] \\n* [How + AI Agents Are Transforming Business Automation Across Industries] \\n* [Core + Areas of Business Process Transformation] \\n* * [Measuring Automation Success] + \\n* [The Technology Stack Behind AI Agents for Business Automation] \\n* + [Core Technologies Powering AI Agents] \\n* * [Implementation Architecture] + \\n* * [Who Has the Best AI Agents for Business Automation?] \\n* [Industry + Applications: Where AI Agents Excel in Business Operations] \\n* [Customer + Service Transformation] \\n* * [Supply Chain & Operations] \\n* * [Document-Heavy + Processes] \\n* * [Task Automation Across Departments] \\n* [AI Agents for + Small Business Automation: Scalable Solutions] \\n* [Small Business Automation + Priorities] \\n* * [Using AI Agents to Automate Business Operations: A Step-by-Step + Approach] \\n* * [Cost-Benefit Analysis for Small Businesses] \\n* [Custom + AI Agent Solutions and Platform Integrations] \\n* [Microsoft's AI Agents + and Azure Integration] \\n* * [Custom AI Agent Development] \\n* * [Vendor + Selection Criteria] \\n* [Advanced AI Agent Capabilities: Security, Compliance, + and Future Technologies] \\n* [Security and Compliance in AI Agent Systems] + \\n* * [Emerging Technologies and Capabilities] \\n* * [Predictive Intent + Modeling] \\n* [Regional Adoption Trends and Market Variations in AI Agent + Implementation] \\n* [Factors Influencing Regional AI Agent Adoption] \\n* + * [Regional Adoption Patterns Comparison] \\n* * [Market Growth Projections] + \\n* [Implementation Strategy: Building Your AI Agent Automation Roadmap] + \\n* [Phase 1: Assessment and Planning] \\n* * [Phase 2: Pilot Implementation] + \\n* * [Phase 3: Scaling and Optimization] \\n* * [Common Implementation Challenges + and Solutions] \\n* [Measuring ROI and Success Metrics for AI Agent Automation] + \\n* [Key Performance Indicators (KPIs)] \\n* * [ROI Calculation Framework] + \\n* * [Benchmarking and Industry Standards] \\n* [At a Glance: Key Takeaways] + \\n* [Frequently Asked Questions] \\n* [What are the best AI agents for business + automation?] \\n* * [How do AI agents automate business processes differently + than traditional software?] \\n* * [What ROI can businesses expect from AI + agent automation?] \\n* * [Are AI agents suitable for small business automation?] + \\n* * [How do you ensure security and compliance with AI agents?] \\n* [Conclusion: + Embracing the AI Agent Revolution] \\n* [Related Blogs] \\n## Share This Article\\n![Futuristic + office with AI agents and holographic automation systems symbolizing the future + of business process automation and AI agents transforming business operations.] + ## Why Business Automation with AI Agents Matters Now\\nDid you know that[33% + of enterprise] software applications will include agentic AI by 2028? The + future of business automation is being written today by organizations that + understand AI agents aren’t just tools\u2014they’re autonomous + partners capable of transforming entire business operations. From streamlining + complex workflows to enhancing customer experiences, AI agents represent the + next evolution in intelligent automation.\\nThis comprehensive guide explores + how[AI agents] are revolutionizing business process automation, offering strategic + insights for developers, business leaders, and organizations looking to leverage + intelligent automation for competitive advantage in 2025 and beyond.\\n## + What Are AI Agents and Why They’re Revolutionizing Business Process + Automation\\nAI agents are autonomous software systems that can perceive, + reason, and act independently to automate business processes, making decisions + without human intervention while continuously learning and adapting to improve + performance and efficiency.\\nUnlike traditional automation tools that follow + predetermined scripts, AI agents leverage[machine learning] and natural language + processing to understand context, make intelligent decisions, and adapt to + changing business conditions. These intelligent process agents are transforming + how organizations approach workflow automation and operational efficiency.\\n### + What Makes AI Agents Different from Traditional Automation\\nTraditional automation + requires extensive programming for every possible scenario, while AI agents + learn from data and experience. According to[McKinsey’s 2024 research], + organizations using AI agents see 40-60% faster decision-making compared to + rule-based automation systems.\\n* **Autonomous decision-making:**AI agents + evaluate situations and choose optimal actions without human intervention\\n* + **Learning capabilities:**Systems improve performance through continuous[data + analysis] and pattern recognition\\n* **Natural language understanding:**Agents + process unstructured data and communicate in human-like language\\n* **Context + awareness:**Advanced reasoning enables appropriate responses to complex, dynamic + situations\\n##### Stay Updated\u2014Join Our Newsletter!\\n###### Newsletter\\nDon\u2019t + miss on the latest\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/09/AI-Agents-in-Business-Automation.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/agentic-ai-data-analytics/\",\"title\":\"How + Agentic AI Elevates Data Analytics for the 2025 Industry Shift\",\"url\":\"https://kodexolabs.com/agentic-ai-data-analytics/\",\"publishedDate\":\"2025-08-26T00:00:00.000Z\",\"author\":\"\",\"text\":\"[Skip + to content] \\n\\n# How Agentic AI Elevates Data Analytics for the 2025 Industry + Shift\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust 26, 2025\\n\\nSyed + Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust 26, 2025\\n\\nTable Of Contents\\n\\n01. + [Share This Article] \\n02. [Introduction] \\n03. [What Are AI Agents in Data + Analytics?] \\n - [Understanding Agentic Architecture in Analytics] \\n - + [Key Characteristics of Autonomous AI Agents] \\n04. [How Does AI Make Decisions + in Modern Analytics?] \\n - [The Technology Behind AI Decision Making] \\n + - [AI Decision Making Software Components] \\n - [What Technology Can Collect + Information to Make Decisions] \\n05. [Future of Data Analytics with AI in + 2025] \\n - [Market Trends Shaping 2025 Analytics Landscape] \\n - [How AI + Can Enhance Strategic Decision-Making for Sustainability] \\n - [Emerging + Technologies Driving the 2025 Shift] \\n06. [Technical Infrastructure for + Agentic AI Analytics] \\n - [Essential Data Infrastructure Components] \\n + - [AI Models and Processing Framework] \\n - [Integration Architecture for + Enterprise Systems] \\n07. [Industry Applications of Agentic AI in Data Analytics] + \\n - [Supply Chain Optimization and Analytics] \\n - [Customer Engagement + and Marketing Applications] \\n - [Financial Operations and Risk Management] + \\n08. [Data Management and Quality Assurance] \\n - [Data Quality and Governance + Framework] \\n - [Real-Time Analytics and Processing] \\n - [Data Mesh Architecture + Implementation] \\n09. [Enterprise Solutions and Self-Service BI] \\n - [Self-Service + BI Powered by AI Agents] \\n - [Automated Workflows and Process Optimization] + \\n - [Enterprise Analytics Platform Integration] \\n10. [Emerging Technologies + and AI Integration] \\n - [Generative AI in Data Analytics] \\n - [Natural + Language Processing Advancements] \\n - [Robotic Process Automation Integration] + \\n11. [Geographic Trends and Regional Variations] \\n - [Factors Influencing + Regional Differences] \\n - [Comparison of Regional Trends] \\n12. [Implementation + Challenges and Solutions] \\n - [Regulatory Challenges and Compliance] \\n + - [Technical Integration and Infrastructure] \\n - [Strategic Implementation + Approaches] \\n13. [Industry-Specific Use Cases and Success Stories] \\n - + [Healthcare and Life Sciences] \\n - [Financial Services and Banking] \\n + - [Manufacturing and Industrial Automation] \\n - [Education and Training] + \\n14. [At a Glance: Key Takeaways] \\n15. [Frequently Asked Questions] \\n + - [What are AI agents in data analytics?] \\n - [How is agentic AI used in + data analytics?] \\n - [What technology can collect information to make decisions?] + \\n - [How does AI enhance strategic decision-making for sustainability?] + \\n - [What is the future of data analytics with AI in 2025?] \\n - [What + are the main challenges in implementing agentic AI for data analytics?] \\n16. + [Conclusion] \\n17. [Related Blogs] \\n\\n## Share This Article\\n\\n## Introduction\\n\\nAre + businesses ready for the autonomous revolution in data analytics that\u2019s + reshaping entire industries? [Agentic AI] systems that can act independently + to analyze data, make decisions, and execute actions\u2014is driving the 2025 + industry shift toward fully autonomous analytics platforms. This transformation + promises to eliminate traditional bottlenecks in data processing while delivering + unprecedented insights for competitive advantage.\\n\\nThis comprehensive + guide explores how agentic AI elevates data analytics for the 2025 industry + shift, covering technical implementation, business applications, and strategic + advantages for modern organizations seeking autonomous intelligence solutions.\\n\\n## + What Are AI Agents in Data Analytics?\\n\\n[AI agents] in data analytics are + autonomous systems that independently collect, analyze, and act on data insights + without human intervention, revolutionizing how organizations process information + and make decisions through intelligent automation.\\n\\nAI agents represent + the next evolution in data analytics, moving beyond traditional reactive systems + to proactive, autonomous intelligence platforms. These systems combine [machine + learning] capabilities with decision-making frameworks to create truly independent + analytics solutions. Unlike conventional analytics tools that require human + oversight, agentic AI systems can identify patterns, generate insights, and + execute actions autonomously.\\n\\n### Understanding Agentic Architecture + in Analytics\\n\\nAgentic architecture represents a fundamental shift from + traditional data processing models. At its core, agentic AI consists of autonomous + agents that can perceive their environment, make decisions based on predefined + goals, and take actions to achieve desired outcomes. These systems integrate + multiple AI technologies including [deep learning], natural language processing, + and predictive analytics.\\n\\nMulti-agent systems further enhance this architecture + by deploying specialized agents for different analytics tasks. For example, + one agent might focus on data quality monitoring while another handles predictive + modeling. This distributed approach allows for more robust and scalable analytics + solutions that can adapt to changing business requirements.\\n\\n- **Autonomous + Decision Making:** Agents operate independently without constant human supervision\\n- + **Goal-Oriented Behavior:** Systems work toward specific business objectives\\n- + **Multi-Agent Coordination:** Specialized agents collaborate for complex analytics + tasks\\n- **Adaptive Learning:** Agents improve performance through continuous + learning\\n\\n##### Stay Updated\u2014Join Our Newsletter!\\n\\n###### Newsletter\\n\\nDon\u2019t + miss on the latest updates in the world of AI. We dispatch custom reports + and newsletters every week, with forecasts on trends to come. Join our community + now!\\n\\n### Key Characteristics of Autonomous AI Agents\\n\\n[Autonomous + AI agents] in data analytics exhibit several critical characteristics that + distinguish them from traditional analytics tools. Independence remains the + primary differentiator\u2014these systems can operate without human intervention + while maintaining high accuracy levels. According to 2024 research, [33% of + enterprise software applications will include agentic AI] capabilities by + 2028.\\n\\nSelf-learning capabilities enable these agents to improve their + performance over time through experience and feedback. This continuous improvement + cycle ensures that analytics accuracy and relevance increase with usage. Integration + capabilities allow seamless connection with existing [data analytics services] + and enterprise systems.\\n\\n| Characteristic | Traditional Analytics | Agentic + AI Analytics |\\n| --- | --- | --- |\\n| Decision Making | Human-dependent + | Autonomous |\\n| Learning Capability | Static models | Continuous improvement + |\\n| Response Time | Hours to days | Real-time |\\n| Scalability | Manual + scaling | Auto-scaling |\\n\\n## How Does AI Make Decisions in Modern Analytics?\\n\\nAI + makes analytics decisions through advanced algorithms that process vast datasets, + identify patterns, and apply predefined rules or learned behaviors to generate + actionable insights automatically within milliseconds of data ingestion.\\n\\nThe + decision-making process in AI-powered analytics involves complex algorithmic + frameworks that combine statistical analysis, pattern recognition, and predictive + modeling. These systems utilize [neural networks] and machine learning algorithms + to process structured and unstructured data simultaneously, creating comprehensive + analytical insights.\\n\\n_AI agents in data analytics transform business + intelligence with data-driven AI agents, advanced decision-making software + and autonomous insights._\\n\\n### The Technology Behind AI Decision Making\\n\\nModern + AI decision-making systems rely on sophisticated technology stacks that integrate + multiple analytical approaches. Machine learning algorithms form the foundation, + enabling systems to learn from historical data patterns and make predictions + about future outcomes. Deep learning models handle complex pattern recognition + tasks, particularly useful for unstructured data analysis.\\n\\n[Natural Language + Processing] capabilities allow AI systems to interpret human language queries + and convert them into analytical tasks. Integration with large language models + provides contextual understanding, enabling more nuanced decision-making processes. + These technologies work together to create comprehensive analytical solutions + that can handle diverse data types and analytical requirements.\\n\\n#### + What Is Real-Time Decision Processing?\\n\\nReal-time decision processing + enables AI systems to analyze incoming data and make decisions within milliseconds. + This capability is crucial for applications requiring immediate responses, + such as fraud detection or supply chain optimization.\\n\\n### AI Decision + Making Software Components\\n\\nEffective AI decision-making software consists + of several integrated components working in harmony. Real-time data processing + engines handle continuous data streams from multiple sources, ensuring decisions + are based on the most current information available. Predictive analytics + frameworks use historical data to forecast future trends and outcomes.\\n\\nAutomated + workflow systems execute decisions once they\u2019re made, connecting analytical + insights to business actions. Our [AI development services] include comprehensive + workflow automation capabilities that ensure seamless decision implementation.\"},{\"id\":\"https://theconversation.com/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong-261579\",\"title\":\"AI + agents are here. Here\u2019s what to know about what they can do \u2013 and + how they can go\_wrong\",\"url\":\"https://theconversation.com/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong-261579\",\"publishedDate\":\"2025-07-27T00:00:00.000Z\",\"author\":\"Daswin + de Silva\",\"text\":\"George Peters / Getty Images\\n\\nWe are entering the + third phase of generative AI. First came the chatbots, followed by the assistants. + Now we are beginning to see agents: systems that aspire to greater autonomy + and can work in \u201Cteams\u201D or use tools to accomplish complex tasks.\\n\\nThe + latest hot product is OpenAI\u2019s [ChatGPT agent]. This combines two pre-existing + products (Operator and Deep Research) into a single more powerful system which, + according to the developer, \u201Cthinks and acts\u201D.\\n\\nThese new systems + represent a step up from earlier AI tools. Knowing how they work and what + they can do \u2013 as well as their drawbacks and risks \u2013 is rapidly + becoming essential.\\n\\n## From chatbots to agents\\n\\nChatGPT launched + the chatbot era in November 2022, but despite its [huge popularity] the conversational + interface limited what could be done with the technology.\\n\\nEnter the AI + assistant, or [copilot]. These are systems built on top of the same large + language models that power generative AI chatbots, only now designed to carry + out tasks with human instruction and supervision.\\n\\nAgents are another + step up. They are intended to pursue goals (rather than just complete tasks) + with varying degrees of autonomy, supported by more advanced capabilities + such as [reasoning and memory].\\n\\nMultiple AI agent systems may be able + to [work together], [communicating with each other] to plan, schedule, decide + and coordinate to solve complex problems.\\n\\nAgents are also \u201Ctool + users\u201D as they can also [call on software tools] for specialised tasks + \u2013 things such as web browsers, spreadsheets, payment systems and more.\\n\\n## + A year of rapid development\\n\\nAgentic AI has [felt imminent] since late + last year. A big moment came last October, when Anthropic gave its Claude + chatbot the ability to [interact with a computer] in much the same way a human + does. This system could search multiple data sources, find relevant information + and submit online forms.\\n\\nOther AI developers were quick to follow. OpenAI + released a web browsing agent named [Operator], Microsoft announced [Copilot + agents], and we saw the launch of Google\u2019s [Vertex AI] and Meta\u2019s + [Llama agents].\\n\\nEarlier this year, the Chinese startup Monica demonstrated + its Manus AI agent [buying real estate] and [converting lecture recordings + into summary notes]. Another Chinese startup, Genspark, released a [search + engine agent] that returns a single-page overview (similar to what [Google + does now]) with embedded links to online tasks such as finding the best shopping + deals. Another startup, [Cluely], offers a somewhat unhinged \u201Ccheat at + anything\u201D agent that has gained attention but is yet to deliver meaningful + results.\\n\\nNot all agents are made for general-purpose activity. Some are + specialised for particular areas.\\n\\nCoding and software engineering are + at the vanguard here, with Microsoft\u2019s [Copilot] coding agent and OpenAI\u2019s + [Codex] among the frontrunners. These agents can independently write, evaluate + and commit code, while also assessing human-written code for errors and performance + lags.\\n\\n## Search, summarisation and more\\n\\nOne core strength of generative + AI models is search and summarisation. Agents can use this to carry out research + tasks that might take a human expert days to complete.\\n\\nOpenAI\u2019s + [Deep Research] tackles complex tasks using multi-step online research. Google\u2019s + [AI \u201Cco-scientist\u201D] is a more sophisticated multi-agent system that + aims to help scientists generate new ideas and research proposals.\\n\\n## + Agents can do more \u2013 and get more wrong\\n\\nDespite the hype, AI agents + come loaded with caveats. Both [Anthropic] and [OpenAI], for example, prescribe + active human supervision to minimise errors and risks.\\n\\nOpenAI also says + its ChatGPT agent is \u201Chigh risk\u201D due to potential for assisting + in the creation of biological and chemical weapons. However, the company has + not published the data behind this claim so it is difficult to judge.\\n\\nBut + the kind of risks agents may pose in real-world situations are shown by [Anthropic\u2019s + Project Vend]. Vend assigned an AI agent to run a staff vending machine as + a small business \u2013 and the project disintegrated into hilarious yet shocking + hallucinations and a fridge full of tungsten cubes instead of food.\\n\\nIn + another cautionary tale, a coding agent [deleted] a developer\u2019s entire + database, later saying it had \u201Cpanicked\u201D.\\n\\n## Agents in the + office\\n\\nNevertheless, agents are already finding practical applications.\\n\\nIn + 2024, Telstra heavily deployed [Microsoft copilot subscriptions]. The company + says AI-generated meeting summaries and content drafts save staff an average + of 1\u20132 hours per week.\\n\\nMany large enterprises are pursuing similar + strategies. Smaller companies too are experimenting with agents, such as Canberra-based + construction firm Geocon\u2019s use of an interactive AI agent to [manage + defects in its apartment developments].\\n\\n## Human and other costs\\n\\nAt + present, the main risk from agents is technological displacement. As agents + improve, they may replace human workers across many sectors and types of work. + At the same time, agent use may also accelerate the decline of [entry-level + white-collar jobs].\\n\\nPeople who use AI agents are also at risk. They may + rely too much on the AI, [offloading] important cognitive tasks. And without + proper supervision and guardrails, hallucinations, cyberattacks and compounding + errors can very quickly derail an agent from its task and goals into causing + harm, loss and injury.\\n\\nThe true costs are also unclear. All generative + AI systems [use a lot of energy], which will in turn affect the price of using + agents \u2013 especially for more complex tasks.\\n\\n## Learn about agents + \u2013 and build your own\\n\\nDespite these ongoing concerns, we can expect + AI agents will become more capable and more present in our workplaces and + daily lives. It\u2019s not a bad idea to start using (and perhaps building) + agents yourself, and understanding their strengths, risks and limitations.\\n\\nFor + the average user, agents are most accessible through [Microsoft copilot studio]. + This comes with inbuilt safeguards, governance and an [agent store] for common + tasks.\\n\\nFor the more ambitious, you can build your own AI agent with just + five lines of code using the [Langchain] framework.\\n\\n- [Artificial intelligence + (AI)] \\n- [Technology] \\n- [Future of work] \\n- [Autonomous systems] \\n- + [AI ethics] \\n- [AI risks] \\n- [AI agents] \\n\\n### Want to write?\\n\\nWrite + an article and join a growing community of more than 217,000 academics and + researchers from 5,400 institutions.\\n\\n[Register now] \\n\\n- [\u200B] + \\n- [\u200B] \\n- [\u200B] \\n- [\u200B] \\n- [\u200B] \\n- [\u200B]\"}],\"searchTime\":1217.6,\"costDollars\":{\"total\":0.015,\"search\":{\"neural\":0.005},\"contents\":{\"text\":0.01}}}" + headers: + 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"{\"requestId\":\"f672ef8619b1642a0eacf3c2a8d0a77f\",\"resolvedSearchType\":\"neural\",\"results\":[{\"id\":\"https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\",\"title\":\"AI + Agent in 2025: How Autonomous Agents Redefine Workflows\",\"url\":\"https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\",\"publishedDate\":\"2025-09-23T00:00:00.000Z\",\"author\":\"Amer + Wilson\",\"text\":\"AI Agent in 2025: How Autonomous Agents Redefine Workflows\\n[] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* [Database Migration Services] + \\n* [Implementation Services] \\n* [Comprehensive Training Services] \\n* + [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] + \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* + [Natural Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic + AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* + [Conversational AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] + \\n* [AI Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* + [SaaS and Subscription Business AI Agents] \\n* [Legal and Compliance AI Agents] + \\n* [Financial AI Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] + \\n* [Website Development Solutions] \\n* [Microsoft Dynamics Services] \\n* + [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics Data Migration] + \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft Dynamics Support + and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* [HubSpot Services] + \\n* [HubSpot CMS Customization Services] \\n* [HubSpot Training Service] + \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration Service] \\n* + [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full Stack Development] + \\n* [Full Stack Web & Mobile App Development] \\n* [Full Stack Security + & Compliance Services] \\n* [Full Stack Migration & Porting Services] + \\n* [Full Stack Web Hosting Services] \\n* [Full Stack E-Commerce Solutions] + \\n* [Full Stack API & Integration Services] \\n* [Full Stack Custom Development] + \\n* [Full Stack Data Dashboard Development Services] \\n* [Full Stack Enterprise + Solutions] \\n* [Full Stack Cloud Support Services] \\n* [Product Development] + \\n* [Product Design] \\n* [Product Development Implementation Services] \\n* + [Product Support & Maintenance] \\n* [Machine Learning Services] \\n* + [Mobile Application Development] \\n* [X2CRM] \\n* [Web Development] \\n* + Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] \\n* [About] + \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization + and Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* + [Consulting Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] + \\n* [Industry Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & + Configuration Solutions] \\n* [Integration Services] \\n* [SugarCRM Database + Migration Services] \\n* [Support & Maintenance] \\n* [Development Services] + \\n* [Plugins] \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM + Custom Fields Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: + A Complete Guide to SugarCRM] \\n* [Artificial Intelligence Services] \\n* + [AI Agents] \\n* [Natural Language Processing] \\n* [Retrieval Augmented Generation] + \\n* [Agentic AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI + Solutions] \\n* [Conversational AI & Chatbots] \\n* [AI Optimization] + \\n* [AI Implementation] \\n* [AI Industry Verticals] \\n* [Retail, Events, + and CX AI Agents] \\n* [SaaS and Subscription Business AI Agents] \\n* [Legal + and Compliance AI Agents] \\n* [Financial AI Agents] \\n* [Monday CRM Services] + \\n* [Shopify Services] \\n* [Website Development Solutions] \\n* [Microsoft + Dynamics Services] \\n* [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics + Data Migration] \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft + Dynamics Support and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* + [HubSpot Services] \\n* [HubSpot CMS Customization Services] \\n* [HubSpot + Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration + Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full + Stack Development] \\n* [Full Stack Web & Mobile App Development] \\n* + [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full + Stack E-Commerce Solutions] \\n* [Full Stack API & Integration Services] + \\n* [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* + [Web Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* + [Case Studies] \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] + \\n**\\nContact us\\n[] [] \\n# AI Agent in 2025: How Autonomous Agents Are + Redefining Workflows\\n* [Your Partner in CRM, Custom Software & AI Solutions] + \\n* [Blog] \\n* AI Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* + **September 23, 2025\\n* **By[Amer Wilson] \\n* **[Blog] \\n## The Future + of Smarter Workflows\\nThe year 2025 is a defining moment for[AI agents]. + They\u2019ve moved far beyond experimental use.\\nToday, AI-powered agents + handle critical business tasks, manage data, and automate complex workflows. + What was once a futuristic idea is now a practical reality. Autonomous AI + agents are revolutionizing the way businesses operate.\\nThese tools offer + speed, accuracy, and scalability. Companies adopting AI workflow automation + are setting new standards for efficiency.\\nLet\u2019s dive into why AI agent + use cases are becoming central to modern business operations.\\n## Why Businesses + Can\u2019t Ignore AI Agents Anymore\\nThe simple answer: efficiency. AI agents + streamline repetitive tasks that consume time and resources.\\nMistakes in + manual processes can be costly. AI-powered agents complete tasks with consistent + accuracy. Scalability is another driver. Humans can multitask, but autonomous + AI agents handle hundreds of tasks simultaneously.\\nThis power enables rapid + growth, particularly in industries such as healthcare,[finance], and e-commerce.\\nMore + importantly, automation frees employees from routine work. With AI workflow + automation, they focus on creativity and strategy.\\nThe benefits are clear: + better results, reduced costs, and faster operations. Businesses can\u2019t + afford to ignore them.\\n## AI Agents Explained: What They Really Do in 2025\\nSo, + what exactly is an AI agent? At its core, it\u2019s a digital decision-maker.\\nUnlike + traditional bots, autonomous AI agents don\u2019t just follow commands. They + learn, adapt, and improve. They integrate with systems like[CRM] s, ERPs, + and analytics platforms. This makes AI workflow automation seamless.\\nFor + instance, a customer service AI agent can analyze past cases and resolve issues + faster.\\nIn finance, AI-powered agents detect fraud by spotting unusual transaction + patterns in real-time.\\nSome popular AI agent use cases include HR onboarding, + lead qualification, inventory monitoring, and IT helpdesk support.\\nWherever + there\u2019s repetitive, data-heavy work, autonomous AI agents are stepping + in.\\n## What\u2019s New with Autonomous AI Agents in 2025\\nSeveral advancements + are expected to enhance the capabilities of AI agents in 2025.\\nFirst, natural + language capabilities have evolved. Teams interact with AI-powered agents + using plain English commands.\\nSecond, cross-platform integration is seamless. + Autonomous AI agents seamlessly integrate CRMs, ERPs, and communication apps. + For example, an AI agent can fetch customer data, update invoices, and send + email alerts instantly.\\nThird, compliance and security features have matured. + Companies trust the best AI agent tools with sensitive data.\\nFourth, predictive + insights are now standard. AI agents forecast outcomes and suggest smarter + actions.\\nFinally, the user experience has improved dramatically. Drag-and-drop + builders simplify the design of AI workflow automation.\\nTogether, these + innovations make autonomous AI agents indispensable\",\"image\":\"https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-26.png\",\"favicon\":\"https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\"},{\"id\":\"https://kodexolabs.com/what-are-autonomous-ai-agents/\",\"title\":\"What + are Autonomous AI Agents? A Complete Guide 2025\",\"url\":\"https://kodexolabs.com/what-are-autonomous-ai-agents/\",\"publishedDate\":\"2025-07-31T00:00:00.000Z\",\"author\":null,\"text\":\"What + are Autonomous AI Agents? A Complete Guide 2025[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# What Are Autonomous + AI Agents? A Complete Guide for 2025 and Beyond\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nJuly 31, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nTable + Of Contents\\n1. [Share This Article] \\n2. [Introduction] \\n3. [What Are + Autonomous AI Agents? Understanding the Fundamentals] \\n* [What Makes an + AI Agent Autonomous?] \\n* * [Autonomous Agents vs Traditional AI Systems] + \\n* * [Key Characteristics of Modern Autonomous Agents] \\n* [How Do Autonomous + AI Agents Work? Technical Architecture Explained] \\n* [Core Components of + Autonomous AI Systems] \\n* * [Types of Autonomous Agents by Intelligence + Level] \\n* * [Machine Learning Integration in Agent Architecture] \\n* [Autonomous + AI Agents 2025: Latest Developments and Technical Advancements] \\n* [Recent + Developments in Autonomous AI Agents 2025] \\n* * [Top Technical Advancements + Shaping 2025] \\n* * [Fully Autonomous AI Agents: What's Now Possible + in 2025] \\n* [Best Autonomous AI Agents Examples and Real-World Applications] + \\n* [Top Consumer Autonomous AI Agents] \\n* * [Enterprise and Business Applications] + \\n* * [Emerging Application Areas in 2025] \\n* * [Performance Metrics and + Success Stories] \\n* [The Role of Autonomous AI Agents in Business and Industry + Impact] \\n* [How Autonomous AI Agents Will Impact Industries in 2025] \\n* + * [Salesforce Autonomous Agents and CRM Integration] \\n* * [Autonomous Agents + Market Growth and Opportunities] \\n* * [Customer Service Revolution Through + AI Agents] \\n* [How to Build Autonomous AI Agents: Development and Implementation + Guide] \\n* [Essential Steps for Building Autonomous AI Agents] \\n* * [Best + Use Cases for Autonomous AI Agents] \\n* * [AI Agent Automation for Startups + in 2025] \\n* * [Integration with External Tools and Systems] \\n* * [Development + Challenges and Solutions] \\n* [Autonomous AI Agents vs Traditional Systems: + A Comprehensive Comparison] \\n* [Comparison of Autonomous AI Agents 2025 + vs Previous Generations] \\n* * [Most Advanced Autonomous AI Agents 2025: + Market Leaders] \\n* * [Human Workers vs Autonomous AI Agents: Collaborative + Future] \\n* * [Evolution from Reactive to Autonomous Systems] \\n* [Future + of Autonomous AI Agents: Trends and Predictions for 2025 and Beyond] \\n* + [How Autonomous AI Agents Are Shaping the Future] \\n* * [Top Trends in Autonomous + AI Agents 2025] \\n* * [What to Expect from Autonomous AI Agents in the Future] + \\n* * [Autonomous AI Agents in 2025 and Beyond: Technology Roadmap] \\n* + * [Challenges and Opportunities Ahead] \\n* [Geographic Trends and Regional + Variations in Autonomous AI Agent Adoption] \\n* [Factors Influencing Regional + Differences] \\n* * [Comparison of Regional Trends] \\n* * [Regional Market + Opportunities] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What are autonomous AI agents and how do they differ from regular AI?] + \\n* * [How can autonomous AI agents be used in business in 2025?] \\n* * + [What makes an AI agent truly autonomous?] \\n* * [What are the best examples + of autonomous AI agents available today?] \\n* * [How do I build autonomous + AI agents for my startup?] \\n* [Conclusion:] \\n* [Related Blogs] \\n## Share + This Article\\n![Illustration of an autonomous AI agent symbolizing the advancements + and potential of AI agents in 2025.] ## Introduction\\nAccording to recent + research, the global autonomous AI agents market is projected to reach[$9.9 + billion in 2025] and is anticipated to grow significantly to[$253.3 billion + by 2034], registering a strong CAGR of43.4%during the forecast period. This + explosive growth is driven by rapid enterprise adoption, continuous advancements + in artificial intelligence, and the expansion of automation across diverse + industries. North America is expected to command the largest market share + in 2025, holding about 40.7% of the global market.\\nThis comprehensive guide + explores autonomous AI agents’ fundamentals, applications, and 2025 + developments, providing essential insights for businesses, developers, and + decision-makers navigating AI transformation.\\n## What Are Autonomous AI + Agents? Understanding the Fundamentals\\nAutonomous AI agents are self-governing + systems that operate independently without constant human intervention, making + decisions and taking actions to achieve specific goals using machine learning + and environmental awareness.\\n[Autonomous AI agents] represent a significant + leap forward from traditional AI systems. Unlike conventional artificial intelligence + that requires explicit programming for every scenario, autonomous agents possess + the capability to learn, adapt, and make independent decisions based on their + environment and objectives. These systems combine[machine learning], natural + language processing, and real-time data analysis to create intelligent entities + that can operate with minimal human oversight.\\n**For example:**Learners + today can[learn French with Langua’s AI platform], which uses these + same principles to personalize instruction, track progress, and respond dynamically + to the user\u2019s input mirroring how autonomous agents behave in complex + business environments.\\nThe key distinction lies in their autonomy \u2013the + ability to perceive their environment, process information, make decisions, + and execute actions without waiting for human commands. This independence + makes them particularly valuable for businesses seeking to automate complex + processes, improve operational efficiency, and provide consistent service + delivery around the clock.\\n#####\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/07/What-Are-Autonomous-AI-Agents-A-Complete-Guide-for-2025.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/ai-agent-development-business-automation/\",\"title\":\"AI + Agent Development for Business Process Automation\",\"url\":\"https://kodexolabs.com/ai-agent-development-business-automation/\",\"publishedDate\":\"2025-09-04T00:00:00.000Z\",\"author\":\"Syed + Ali Hasan Shah\",\"text\":\"AI Agent Development for Business Process Automation[Skip + to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI + Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI Integration] + \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] \\n* [Gen + AI Consulting] ### Product Designing\\n* [Product Designing] \\n### AI Development\\n* + [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI + Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] + \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] + \\n### Software Development\\n* [Software Development Services] \\n* [Custom + Product Development] \\n* [Software Consulting] \\n* [Mobile App Development] + \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* + [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A + Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# AI Agent Development + for Business Process Automation\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nSeptember + 4, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nSeptember 4, 2025\\nTable + Of Contents\\n1. [Share This Article] \\n2. [Introduction] \\n3. [What is + AI Agent Development for Business Process Automation?] \\n* [Understanding + Agentic AI vs Traditional Automation] \\n* * [Core Components of Business + Process AI Agents] \\n* * [The Evolution from Workflow Automation to Intelligent + Agents] \\n* [How to Develop AI Agents for Business Automation] \\n* [Step-by-Step + AI Agent Development Process] \\n* * [Essential AI Skills and Technologies] + \\n* * [Development Tools and Platforms Comparison] \\n* [Business Process + Applications and Use Cases] \\n* [Customer Service and Support Automation] + \\n* * [Supply Chain and Inventory Management] \\n* * [Financial Services + and Fraud Detection] \\n* * [Document Processing and Data Management] \\n* + [Technology Stack and Platform Selection] \\n* [Microsoft AI Agent Ecosystem] + \\n* * [Google Cloud AI Agent Solutions] \\n* * [Amazon Web Services AI Agent + Tools] \\n* * [Open Source and Hybrid Solutions] \\n* [Overcoming Development + Challenges in Agentic AI] \\n* [Data Privacy and Security Challenges] \\n* + * [Performance and Scalability Issues] \\n* * [AI Guardrails and Governance] + \\n* * [Integration and Interoperability Challenges] \\n* [Regional Adoption + Patterns and Market Trends] \\n* [Factors Influencing Regional Adoption] \\n* + * [Market Maturity Comparison] \\n* * [Sector-Specific Adoption Patterns] + \\n* [Measuring Business Value and ROI] \\n* [Key Performance Indicators for + AI Agents] \\n* * [ROI Calculation Framework] \\n* * [Industry-Specific Value + Propositions] \\n* [How to Choose an AI Agent Development Company] \\n* [Essential + Evaluation Criteria] \\n* * [Questions to Ask Potential Vendors] \\n* * [Red + Flags and Warning Signs] \\n* [Future Trends in AI Agent Development] \\n* + [Emerging Technology Integration] \\n* * [Next-Generation Agent Architectures] + \\n* * [Industry Transformation Predictions] \\n* [At a Glance: Key Takeaways] + \\n* [Frequently Asked Questions] \\n* [How long does it take to develop a + custom AI agent for business processes?] \\n* * [What are the main security + considerations for AI agents handling sensitive business data?] \\n* * [How + do AI agents integrate with existing enterprise systems?] \\n* * [What is + the typical ROI timeline for AI agent implementations?] \\n* * [How do you + ensure AI agents maintain accuracy and avoid errors in business processes?] + \\n* * [What industries benefit most from AI agent automation?] \\n* [Conclusion] + \\n* [Related Blogs] \\n## Share This Article\\n![AI agent development illustration + showing a robot analyzing data charts for business process automation, ideal + for enterprises looking to develop AI agents and leverage agentic AI development + for workflow automation.] ## Introduction\\nDid you know that[69% of enterprises] + are already implementing AI agents to automate complex business processes, + reducing operational costs by up to 40%? AI agent development for business + process automation represents the next frontier in digital transformation, + enabling organizations to create intelligent systems that work autonomously + while maintaining human oversight. This comprehensive guide explores how businesses + can leverage[agentic AI development] to streamline operations, enhance productivity, + and drive competitive advantage.\\nAI agent development for business process + automation transforms traditional workflows by creating intelligent systems + that autonomously handle complex tasks, reducing costs and improving efficiency + across enterprise operations.\\n## What is AI Agent Development for Business + Process Automation?\\nAI agent development involves creating intelligent software + systems that use machine learning (ML),[natural language processing (NLP)], + and autonomous decision-making to execute business processes. Unlike traditional + RPA (robotic process automation) which relies on rigid, rule-based scripts, + agentic AI systems adapt dynamically, handle unstructured data, and make context-aware + business decisions.\\nAI agent development for business process automation + represents a revolutionary approach to streamlining enterprise operations + through intelligent software systems. Unlike traditional automation tools + that follow pre-programmed rules, AI agents utilize[machine learning] and + natural language processing to make dynamic decisions and adapt to changing + business conditions.\\n### Understanding Agentic AI vs Traditional Automation\\nTraditional[robotic + process automation services] (RPA) follow rigid, rule-based workflows that + break down when faced with exceptions or variations. In contrast, agentic[AI + systems demonstrate autonomous] decision-making capabilities, learning from + data patterns and user interactions to improve performance over time. These + intelligent agents can handle unstructured data, understand context, and make + complex business decisions without constant human intervention.\\nAccording + to 2024 research, organizations implementing agentic AI report[30% faster + process completion times] and 60% reduction in manual error rates compared + to traditional automation approaches.\\n### Core Components of Business Process + AI Agents\\n* **Natural Language Processing:**Enables agents to understand + and respond to human communication in context\\n* **Machine Learning Algorithms:**Allow + agents to learn from historical data and improve decision-making accuracy\\n* + **Integration Capabilities:**Connect\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/09/AI-Agent-Development-for-Business-Automation.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/top-agentic-ai-platforms/\",\"title\":\"Top + Agentic AI Platforms in 2025: A Complete Guide for Businesses\",\"url\":\"https://kodexolabs.com/top-agentic-ai-platforms/\",\"publishedDate\":\"2025-10-07T00:00:00.000Z\",\"author\":null,\"text\":\"Top + Agentic AI Platforms 2025 | Business Automation Guide[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# Top Agentic + AI Platforms in 2025: A Complete Guide for Businesses\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nOctober 7, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nOctober 7, + 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. [Introduction:] \\n3. + [What Are Agentic AI Platforms and Why They Matter in 2025] \\n* [Understanding + Agentic Systems vs Traditional AI] \\n* * [Core Components of Agentic AI Platforms] + \\n* * [Market Impact and 2025 Projections] \\n* [Top Agentic AI Platforms + for Business in 2025] \\n* [Enterprise-Grade Platforms] \\n* * [Platform Comparison + Matrix] \\n* * [Platform Selection Criteria] \\n* [Best Agentic AI Platforms + for Business Applications] \\n* [Enterprise Workflow Automation] \\n* * [Customer + Relationship Management Enhancement] \\n* * [Operational Intelligence and + Analytics] \\n* [Key Features and Integration Capabilities of AI Agent Platforms] + \\n* [What Are the Integration Capabilities of AI Agent Platforms?] \\n* * + [Core Technical Features] \\n* * [Advanced Capabilities] \\n* [Platforms to + Build AI Agents: Development and Creation Tools] \\n* [What Is the Best Platform + to Build AI Agents?] \\n* * [Development Tools and Frameworks] \\n* * [Technical + Implementation Considerations] \\n* [Which AI Agent Platform Is Best for Small + Businesses] \\n* [Which AI Agent Platform Is Best for Small Businesses?] \\n* + * [Cost-Effective Platform Options] \\n* * [How Do AI Agent Platforms Help + Businesses Scale?] \\n* [What Industries Benefit Most from AI Agent Platforms] + \\n* [What Industries Benefit Most from AI Agent Platforms?] \\n* * [Customer + Service and Support Applications] \\n* * [Industry-Specific Use Cases] \\n* + [Microsoft Ecosystem and Enterprise Integration] \\n* [Microsoft Copilot Studio + Platform Overview] \\n* * [Microsoft Azure Integration Advantages] \\n* * + [Enterprise Ecosystem Benefits] \\n* [Advanced Features and Market Innovations] + \\n* [Agent Marketplaces and Ecosystem Development] \\n* [What Is Advanced + Sentiment Analysis?] \\n* [Next-Generation Interaction Models] \\n* * [2025 + Market Trends and Predictions] \\n* [Implementation Strategy and Best Practices] + \\n* [Strategic Planning and Platform Selection] \\n* * [Deployment Methodology + and Phases] \\n* * [Success Factors and Key Performance Indicators] \\n* [At + a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [Does OpenAI + Have an Agentic AI Platform?] \\n* * [What Is the Best AI Agent Platform for + Specific Industries?] \\n* * [How Much Do AI Agent Platforms Cost for Small + Businesses?] \\n* * [What Are the Security Considerations for AI Agent Platforms?] + \\n* * [How Long Does It Take to Implement an AI Agent Platform?] \\n* * [Can + Agentic AI Platforms Integrate with Legacy Systems?] \\n* [Conclusion: Embracing + the Agentic AI Revolution] \\n* [Related Blogs] \\n## Share This Article\\n![Robot + sitting at a control desk with multiple screens, symbolizing top agentic AI + platforms in 2025 for businesses, automation and AI agent creation platforms.] + ## Introduction:\\nAre businesses ready for the autonomous AI revolution that’s + transforming enterprise operations in 2025? Top agentic AI platforms are enabling + companies to deploy intelligent agents that can make decisions, execute tasks, + and interact with customers independently, fundamentally changing how organizations + operate. This comprehensive guide explores the leading agentic AI platforms, + their capabilities, and strategic implementation approaches for modern businesses.\\nThis + blog explores top agentic AI platforms in 2025, offering businesses, developers, + and decision-makers practical insights into platform selection, implementation, + and strategic advantages across industries.\\n## What Are Agentic AI Platforms + and Why They Matter in 2025\\nAgentic AI platforms are autonomous systems + that enable AI agents to make independent decisions, execute tasks, and interact + with environments without constant human oversight, revolutionizing[business + automation capabilities].\\nThe evolution of agentic AI represents a fundamental + shift from[reactive automation to proactive intelligence]. Unlike traditional + AI tools that respond to commands, agentic systems demonstrate true autonomy + by making contextual decisions, learning from outcomes, and adapting strategies + in real-time. According to recent research, agentic AI platforms are projected + to improve business[productivity by 30% through 2035].\\n### Understanding + Agentic Systems vs Traditional AI\\nTraditional AI systems operate within + predefined parameters, executing specific tasks when triggered by human input + or predetermined conditions.[Agentic AI] systems, however, possess reasoning + capabilities that enable autonomous goal pursuit, dynamic problem-solving, + and independent task orchestration.\\n* **Reactive AI:**Responds to specific + inputs with predetermined outputs\\n* **Agentic AI:**Initiates actions based + on environmental analysis and goal optimization\\n* **Decision-making:**Evaluates + multiple options and selects optimal strategies autonomously\\n* **Learning + adaptation:**Continuously improves performance through experience accumulation\\n##### + Stay Updated\u2014Join Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss + on the latest updates in the world of AI. We dispatch custom reports and newsletters + every week, with forecasts on trends to come. Join our community\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/10/Top-Agentic-AI-Platforms.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/top-ai-agents-content-generation/\",\"title\":\"Top + 10 AI Agents for Content Generation in 2025 - Kodexo Labs\",\"url\":\"https://kodexolabs.com/top-ai-agents-content-generation/\",\"publishedDate\":\"2025-09-04T00:00:00.000Z\",\"author\":null,\"text\":\"Top + 10 AI Agents for Content Generation in 2025[Skip to content] \\n[![]] \\n[About + us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative AI\\n* + [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & Integration] + \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### Product Designing\\n* + [Product Designing] \\n### AI Development\\n* [AI Development] \\n* [AI Chatbot + Development] \\n* [AI Consulting] \\n* [AI Model Development] \\n* [Custom + AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML Consulting] + \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### Software Development\\n* + [Software Development Services] \\n* [Custom Product Development] \\n* [Software + Consulting] \\n* [Mobile App Development] \\n* [Web App Development] ### Data + Engineering\\n* [Data Engineering] \\n* [Data Analytics] \\n* [Data Annotation] + \\n[Who We Serve] \\n![]![] [Get A Free AI Chatbot] \\n[### HealthCare\\n] + EHR Systems, AI based Interviews and Medical Imaging Software[### EdTech\\n] + Personalized Learning, AI based Tutor Systems and Gamification Experiences[### + Fintech\\n] AI powered Trend Forecasting and Predicative Analytics\\n[### + Energy\\n] Smart Grid Solutions and AI based Resource Monitoring[### Automotive\\n] + Predictive Maintenance, Driver Assistance and AI Chatbots[### Real Estate\\n] + AI Home Management and AI based Real Estate Evaluation Systems\\n[### IT and + Tech\\n] AI powered Ticket Generation and Automated Software Production[### + Marketing\\n] Customer Churn Prediction, Customer Segmentation and AI based + Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### IT Staff + Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### Hire + Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career + in AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# Top 10 AI Agents for Content Generation in 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nSeptember 4, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nSeptember 4, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [Introduction] \\n3. [What Are AI Agents for Content Generation?] \\n* [Understanding + Agentic AI in Content Creation] \\n* * [Key Components of AI-Powered Content + Agents] \\n* [How to Choose the Right AI Agent for Content Creation in 2025] + \\n* [Essential Evaluation Criteria] \\n* * [What Is the Best AI for Your + Content Needs?] \\n* [Top AI Writing Tools and Content Generators Ranked] + \\n* [Ranking Methodology] \\n* * [Top 10 AI Agents Detailed Analysis] \\n* + [AI Tools for Content Creation Across Different Formats] \\n* [Video Content + Generation] \\n* * [Text-Based Content Creation] \\n* * [Visual Content and + Image Generation] \\n* [Business Applications and Industry Use Cases] \\n* + [Marketing and Content Marketing Applications] \\n* * [Customer Service and + Support Content] \\n* * [Enterprise Integration Scenarios] \\n* [Technical + Implementation and Automation Tools] \\n* [Technical Architecture Requirements] + \\n* * [Workflow Automation Setup] \\n* * [Security and Compliance Considerations] + \\n* [AI Agent Platforms and Development Considerations] \\n* [Platform Selection + Criteria] \\n* * [Development and Customization Options] \\n* [Geographic + Trends and Regional Variations] \\n* [Factors Influencing Regional Differences] + \\n* * [Comparison of Regional Trends] \\n* [Security and Quality Control + in AI Content Generation] \\n* [Content Security Framework] \\n* * [Quality + Assurance Processes] \\n* [Future Trends and 2025 Predictions for AI Content + Agents] \\n* [Emerging Technologies] \\n* * [Market Predictions for 2025] + \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What + are the best AI agents for content generation in 2025?] \\n* * [How do AI + content generators compare to traditional writing tools?] \\n* * [Which AI + agents create the most accurate content?] \\n* * [What is an AI content writer + and how does it work?] \\n* * [How can businesses integrate AI agents into + their content marketing workflows?] \\n* * [What security measures are needed + for enterprise AI content generation?] \\n* [Conclusion] \\n* [Related Blogs] + \\n## Share This Article\\n![Best AI writing tools and top AI agents for content + creation in 2025, futuristic illustration of artificial intelligence software + powering content generation.] ## Introduction\\nDid you know that[82% of businesses] + plan to integrate AI agents into their content workflows by 2025? The landscape + of artificial intelligence and content creation has evolved dramatically, + with AI agents now capable of producing human-quality content across multiple + formats. This comprehensive guide explores the top 10 AI agents for content + generation in 2025, helping businesses, developers, and content creators choose + the right tools for their specific needs.\\nThis blog explores the top 10 + AI agents transforming content generation in 2025, offering insights for businesses + seeking the best artificial intelligence solutions for their content marketing + and creation workflows.\\n## What Are AI Agents for Content Generation?\\nAI + agents for content generation are[autonomous AI systems] that use large language + models and natural language processing to create, optimize, and manage content + across multiple formats without constant human supervision.\\nAI agents for + content generation represent a revolutionary advancement in artificial intelligence + technology. Unlike traditional content creation tools, these systems operate + autonomously, making[intelligent decisions] about content strategy, tone, + and format based on predefined parameters and learning from user interactions.\\n### + Understanding Agentic AI in Content Creation\\nAgentic AI systems differ fundamentally + from conventional AI tools through their ability to perform complex, multi-step + tasks without continuous human guidance. These systems leverage advanced[machine + learning] algorithms and natural language processing to understand context, + audience preferences, and content objectives.\\nAccording to a 2024 report, + businesses using AI agents for content creation see[40% improvement] in content + production efficiency and 38% better audience engagement rates compared to + traditional methods.\\n#### What Makes AI Agents Different?\\n[AI agents] + possess autonomous decision-making capabilities, allowing them to adapt content + strategies in real-time based on performance metrics, audience feedback, and + market trends without requiring constant human intervention or reprogramming.\\n##### + Stay Updated\u2014Join Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss + on the latest updates in the world of AI. We dispatch custom reports and newsletters + every week, with forecasts on trends to come. Join our community now!\\n### + Key Components of AI-Powered Content Agents\\n* **Large Language Models Integration:**Advanced + models like GPT-4, Claude, and Gemini power content understanding and generation\\n* + **Workflow Automation:**Seamless integration with existing content management + systems and publishing platforms\\n* **Multi-Format Generation:**Capability + to create text, video scripts, social media posts, and visual content descriptions\\n* + **Real-time Learning:**Continuous improvement through user feedback and performance + analysis|Component|Function|Business Impact|\\nNatural Language Processing|Content + understanding and generation|85% accuracy improvement|\\n\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/09/Top-AI-Agents-for-Content-Generation.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/agentic-rag-with-ai-agents/\",\"title\":\"Agentic + RAG: Enhancing Retrieval-Augmented Generation with AI Agents\",\"url\":\"https://kodexolabs.com/agentic-rag-with-ai-agents/\",\"publishedDate\":\"2025-09-22T00:00:00.000Z\",\"author\":\"\",\"text\":\"Agentic + RAG: AI Agents Improve Retrieval-Augmented Generation[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# Agentic RAG: + Enhancing Retrieval-Augmented Generation with AI Agents\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nSeptember 22, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nSeptember + 22, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. [The Future of + Intelligent Information Retrieval] \\n3. [What is Agentic RAG in AI? Understanding + Core Concepts] \\n* [Defining Agentic Retrieval-Augmented Generation] \\n* + * [Key Components of Agentic RAG Architecture] \\n* [How Agentic RAG Improves + Retrieval-Augmented Generation Performance] \\n* [Intelligent Query Formulation + and Refinement] \\n* * [Performance Metrics and Benchmarks] \\n* [AI Agent-Powered + RAG Frameworks: Technical Implementation] \\n* [System Architecture Components] + \\n* * [Implementation Steps and Best Practices] \\n* [Enterprise Integration: + Can Agentic RAG Work with Existing AI Systems?] \\n* [Enterprise Data Source + Compatibility] \\n* * [Implementation Timeline and Considerations] \\n* [Industry + Applications: Transforming Sectors with Agentic RAG] \\n* [Healthcare and + Medical Research Applications] \\n* * [Legal and Compliance Applications] + \\n* [Advanced Multi-Agent Collaboration in RAG Systems] \\n* [Specialized + Agent Architectures] \\n* * [Coordination Mechanisms and Communication Protocols] + \\n* [User Experience and Business Value Optimization] \\n* [Performance Optimization + Strategies] \\n* * [Data Privacy and Security Implementation] \\n* [Technology + Stack: From Vector Stores to Large Language Models] \\n* [Essential Development + Frameworks and Tools] \\n* * [Vector Database Selection and Optimization] + \\n* [Future Trends and Emerging Applications] \\n* [Next-Generation Capabilities + and Features] \\n* * [Market Trends and Investment Patterns] \\n* [At a Glance: + Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What is the difference + between traditional RAG and agentic RAG?] \\n* * [How can agentic RAG improve + accuracy in enterprise applications?] \\n* * [Can agentic RAG integrate with + existing customer support systems?] \\n* * [What programming languages and + tools are needed for agentic RAG implementation?] \\n* * [How does multi-agent + collaboration work in RAG systems?] \\n* * [What are the main benefits of + implementing agentic RAG for businesses?] \\n* [Conclusion: Transforming Information + Systems for the Future] \\n* [Related Blogs] \\n## Share This Article\\n![Illustration + of an AI agent enhancing retrieval-augmented generation (RAG) with autonomous + decision-making, representing Agentic AI with RAG to improve accuracy and + performance.] ## The Future of Intelligent Information Retrieval\\nWhat if + AI systems could not just retrieve information but intelligently reason about + what they find? Agentic RAG represents the next evolution in retrieval-augmented + generation, combining AI agents with traditional RAG systems to create more + intelligent, autonomous information processing capabilities. This comprehensive + guide explores how businesses can leverage[agentic AI] with RAG to transform + their knowledge management and[content generation] processes.\\nThis blog + explores Agentic RAG’s revolutionary approach to enhancing retrieval-augmented + generation with[AI agents], offering practical insights for developers, businesses, + and IT professionals seeking advanced[artificial intelligence] solutions.\\n## + What is Agentic RAG in AI? Understanding Core Concepts\\nAgentic RAG combines[autonomous + AI agents] with retrieval-augmented generation to create intelligent systems + that can independently query, analyze, and synthesize information from knowledge + bases, delivering[50% higher accuracy] than traditional RAG approaches.\\nAgentic + RAG represents a paradigm shift in how AI systems process and retrieve information. + Unlike traditional RAG systems that follow predetermined retrieval patterns, + AI agents in agentic RAG make autonomous decisions about when, what, and how + to retrieve information based on contextual understanding.\\n### Defining + Agentic Retrieval-Augmented Generation\\nAgentic RAG integrates autonomous + AI agents into traditional retrieval-augmented generation systems, enabling + intelligent decision-making about information retrieval strategies. According + to 2024 AI Trends Report, agentic systems demonstrate superior performance + in complex, multi-domain knowledge retrieval scenarios where traditional approaches + often fail.\\nThe system architecture incorporates planning modules that analyze + user queries, execution agents that perform retrieval operations, and evaluation + mechanisms that assess result quality. This multi-layered approach enables + dynamic adaptation to user needs and context changes.\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, + with forecasts on trends to come. Join our community now!\\n#### What Makes + Agentic RAG Different?\\nAgentic RAG systems possess autonomous reasoning + capabilities that allow them to modify retrieval strategies mid-process, unlike + traditional RAG systems that follow fixed patterns regardless of context or + result quality.\\n### Key Components of Agentic RAG Architecture\\n* **Planning + Agent:**Analyzes user queries and develops retrieval strategies\\n* **Execution + Agent:**Performs actual information retrieval operations\\n* **Memory System:**Maintains + context across multiple interactions\\n* **Evaluation Module:**Assesses and + improves retrieval quality continuously|Component|Traditional RAG|Agentic + RAG|\\nQuery Processing|Static patterns|Dynamic analysis|\\nRetrieval Strategy|Predetermined|Adaptive|\\nContext + Awareness|Limited|Comprehensive|\\n\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/09/Enhancing-RAG-with-AI-Agents.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/how-to-build-an-ai-agent/\",\"title\":\"Build + an AI Agent in 2025 | Cost, Benefits & Real Use Cases\",\"url\":\"https://kodexolabs.com/how-to-build-an-ai-agent/\",\"publishedDate\":\"2025-08-05T00:00:00.000Z\",\"author\":null,\"text\":\"Build + an AI Agent in 2025 | Cost, Benefits & Real Use Cases[Skip to content] + \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### + Generative AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT + Dev & Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] + ### Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI + Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model + Development] \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] + \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] + \\n### Software Development\\n* [Software Development Services] \\n* [Custom + Product Development] \\n* [Software Consulting] \\n* [Mobile App Development] + \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* + [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A + Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# How to Build + an AI Agent in 2025: Cost, Benefits & Real-World Examples\\nSyed Ali + Hasan Shah\\n[Agentic AI] \\nAugust 5, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nAugust 5, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [What You Need to Know About Building AI Agents] \\n3. [What Is an AI Agent + and Why Build One in 2025?] \\n* [What Makes an AI Agent Different from Traditional + AI?] \\n* * [Key Components of Modern AI Agents] \\n* [Step-by-Step Guide: + How to Build an AI Agent] \\n* [Step 1: Requirements Analysis and Planning] + \\n* * [Step 2: Data Collection and Preparation] \\n* * [Step 3: Model Development + and Training] \\n* * [A Practical Guide to Building AI Agents: Implementation + Checklist] \\n* [AI Agent Builder Platforms and Tools in 2025] \\n* [Best + AI Agent Builder Platforms for Different Needs] \\n* * [Custom AI Agent Builder + vs. Platform Solutions] \\n* * [Key Features to Evaluate in AI Agents Builder + Platforms] \\n* [Cost Analysis: How Much Does It Cost to Build an AI Agent?] + \\n* [How Much Does It Cost to Build an AI Agent: Detailed Breakdown] \\n* + * [AI Agent Development Costs by Complexity Level] \\n* * [How Do AI Agents + Contribute to Cost Reduction in Businesses?] \\n* [Benefits of Agentic AI: + Transforming Business Operations] \\n* [Core Benefits of Using AI Agents] + \\n* * [Benefits of Agents in AI-Driven Industries] \\n* * [Measurable Business + Impact] \\n* [Real-World Examples of AI Agents Across Industries] \\n* [What + Is an Agentic AI Example in Customer Service?] \\n* * [Examples of AI Agents + in Healthcare and Medical Applications] \\n* * [Transportation and Smart City + Examples] \\n* * [Industrial and Manufacturing Applications] \\n* [What Industries + Are Benefiting Most from Agentic AI?] \\n* [What Industries Are Currently + Benefiting from Agentic AI?] \\n* * [Manufacturing and Industrial Applications] + \\n* * [Emerging Industry Applications] \\n* * [What Industries Are Seeing + the Most Benefits from AI Agents?] \\n* [Future Trends and Evolution of AI + Agents] \\n* [Next-Generation AI Agent Capabilities] \\n* * [Connected Ecosystem + Integration] \\n* * [Industry-Specific Future Applications] \\n* [At a Glance: + Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What is an AI agent + example?] \\n* * [How much does an AI agent cost?] \\n* * [How to build a + AI agent?] \\n* * [What industries are benefiting the most from agentic AI?] + \\n* * [What are examples of agentic AI?] \\n* * [How do AI agents contribute + to cost reduction in businesses?] \\n* [Conclusion:] \\n* [Related Blogs] + \\n## Share This Article\\n![A glowing 3D AI agent robot hovering on a digital + platform, representing futuristic AI agent builders, no-code AI tools and + autonomous decision-making in 2025.] ## What You Need to Know About Building + AI Agents\\nDid you know that[70% of businesses plan to implement AI agents + by 2025] to automate complex workflows and enhance customer experiences? Building + an AI agent has evolved from a technical luxury to a business necessity, with + organizations leveraging agentic AI to streamline operations and drive innovation. + This comprehensive guide explores how to build an AI agent in 2025, covering + essential costs, transformative benefits, and real-world examples across industries.\\n[AI + agents] represent the next evolution in business automation, offering autonomous + decision-making capabilities that transform how organizations operate. Unlike + traditional AI systems that simply respond to inputs, AI agents perceive their + environment, analyze data, make decisions, and execute actions independently. + The growing demand for intelligent automation has made[AI development] a strategic + priority for businesses seeking competitive advantages in 2025.\\nModern AI + agents combine Machine Learning algorithms with Natural Language Processing + to create sophisticated systems capable of handling complex business processes. + From customer service automation to predictive maintenance in manufacturing, + these intelligent systems deliver measurable improvements in efficiency, accuracy, + and cost reduction. Organizations implementing AI agents report 25-40% operational + savings and[50-70% faster task completion rates].\\nThis comprehensive guide + addresses the critical questions businesses face when considering AI agent + development: implementation strategies, cost structures, measurable benefits, + and proven real-world applications across industries. Whether you’re + exploring no-code solutions or custom development approaches, understanding + these fundamentals ensures successful AI agent deployment that drives meaningful + business results.\\n## What Is an AI Agent and Why Build One in 2025?\\nAn + AI agent is an autonomous system that perceives its environment, makes decisions, + and takes actions to achieve specific goals, becoming essential for business + automation and intelligent task execution in 2025.\\nAI agents differ fundamentally + from traditional automation tools through their ability to learn, adapt, and + make independent decisions based on changing conditions. These systems combine + artificial intelligence technologies with real-time data processing to create + intelligent solutions that continuously improve performance without human + intervention. In 2025, businesses are prioritizing AI agent development as + a strategic investment in operational efficiency and competitive positioning.\\n##### + Stay Updated\u2014Join Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss + on the latest updates in the world of AI. We dispatch custom reports and newsletters + every week, with forecasts on trends to come. Join our community now!\\n### + What Makes an AI Agent Different from Traditional AI?\\nTraditional AI systems + require specific\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/08/How-to-Build-an-AI-Agent-in-2025-Cost-Benefits-and-Real-World-Examples.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://www.rolustech.com/blog/agentic-ai-saas-workflow-automation\",\"title\":\"Top + Agentic AI Strategies to Optimize SaaS Workflows - Rolustech\",\"url\":\"https://www.rolustech.com/blog/agentic-ai-saas-workflow-automation\",\"publishedDate\":\"2025-12-03T00:00:00.000Z\",\"author\":\"Sarah + Meyers\",\"text\":\"Top Agentic AI Strategies to Optimize SaaS Workflows\\n[] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* [Database Migration Services] + \\n* [Implementation Services] \\n* [Comprehensive Training Services] \\n* + [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] + \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* + [Natural Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic + AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* + [Conversational AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] + \\n* [AI Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* + [SaaS and Subscription Business AI Agents] \\n* [Legal and Compliance AI Agents] + \\n* [Financial AI Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] + \\n* [Website Development Solutions] \\n* [Microsoft Dynamics Services] \\n* + [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics Data Migration] + \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft Dynamics Support + and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* [HubSpot Services] + \\n* [HubSpot CMS Customization Services] \\n* [HubSpot Training Service] + \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration Service] \\n* + [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full Stack Development] + \\n* [Full Stack Web & Mobile App Development] \\n* [Full Stack Security + & Compliance Services] \\n* [Full Stack Migration & Porting Services] + \\n* [Full Stack Web Hosting Services] \\n* [Full Stack E-Commerce Solutions] + \\n* [Full Stack API & Integration Services] \\n* [Full Stack Custom Development] + \\n* [Full Stack Data Dashboard Development Services] \\n* [Full Stack Enterprise + Solutions] \\n* [Full Stack Cloud Support Services] \\n* [Product Development] + \\n* [Product Design] \\n* [Product Development Implementation Services] \\n* + [Product Support & Maintenance] \\n* [Machine Learning Services] \\n* + [Mobile Application Development] \\n* [X2CRM] \\n* [Web Development] \\n* + Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] \\n* [About] + \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization + and Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* + [Consulting Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] + \\n* [Industry Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & + Configuration Solutions] \\n* [Integration Services] \\n* [SugarCRM Database + Migration Services] \\n* [Support & Maintenance] \\n* [Development Services] + \\n* [Plugins] \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM + Custom Fields Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: + A Complete Guide to SugarCRM] \\n* [Artificial Intelligence Services] \\n* + [AI Agents] \\n* [Natural Language Processing] \\n* [Retrieval Augmented Generation] + \\n* [Agentic AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI + Solutions] \\n* [Conversational AI & Chatbots] \\n* [AI Optimization] + \\n* [AI Implementation] \\n* [AI Industry Verticals] \\n* [Retail, Events, + and CX AI Agents] \\n* [SaaS and Subscription Business AI Agents] \\n* [Legal + and Compliance AI Agents] \\n* [Financial AI Agents] \\n* [Monday CRM Services] + \\n* [Shopify Services] \\n* [Website Development Solutions] \\n* [Microsoft + Dynamics Services] \\n* [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics + Data Migration] \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft + Dynamics Support and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* + [HubSpot Services] \\n* [HubSpot CMS Customization Services] \\n* [HubSpot + Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration + Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full + Stack Development] \\n* [Full Stack Web & Mobile App Development] \\n* + [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full + Stack E-Commerce Solutions] \\n* [Full Stack API & Integration Services] + \\n* [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* + [Web Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* + [Case Studies] \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] + \\n**\\nContact us\\n[] [] \\n# Top Ways Agentic AI Can Automate and Optimize + Your SaaS Workflow\\n* [Your Partner in CRM, Custom Software & AI Solutions] + \\n* [Blog] \\n* Top Ways Agentic AI Can Automate and Optimize Your SaaS Workflow\\n* + **December 3, 2025\\n* **By[Sarah Meyers] \\n* **[Blog] \\n## What Is Agentic + AI and Why It Matters for SaaS Businesses\\nAgentic[AI] refers to intelligent + software agents that act autonomously in business workflows.In SaaS, it can + reduce manual tasks, improve efficiency, and boost decision-making.\\nCompanies + using AI in SaaS US gain faster insights and higher operational productivity.\\n## + How Agentic AI Automates Complex SaaS Workflows\\n[Agentic AI] can execute + repetitive tasks, monitor processes, and dynamically adjust actions.It integrates + with[CRM], billing, and support systems to automate end-to-end workflows.Automation + reduces errors, accelerates delivery, and frees teams to focus on strategic + tasks.\\n## Key Areas Where Agentic AI Delivers the Most Impact\\nAI-powered + business automation US excels in onboarding, customer support, and analytics.It + optimizes cross-team collaboration and internal operations with minimal human + intervention.\\nRevenue operations, product experiences, and marketing workflows + also benefit from intelligent agents.\\n## Automating Customer Onboarding + and Support With Software Agents\\nSoftware agents handle sign-ups, guide + users, and provide instant answers to queries.AI software agents US enable + self-service, reducing support tickets and response times.\\nPersonalized + onboarding flows improve retention and customer satisfaction in SaaS products.\\n## + Optimizing Internal Operations and Cross-Team Collaboration\\nAI workflow + optimization US streamlines approvals, notifications, and task assignments.Teams + get real-time insights, enabling faster and more informed decisions.\\nCollaboration + improves across sales, support, and product teams without extra manual effort.\\n## + Agentic AI for Revenue Operations: Billing, Renewals, and Upsells\\nBilling + errors and delayed renewals are reduced with intelligent automation.Intelligent[SaaS] + solutions track usage, trigger alerts, and automatically recommend upsells.\\nRevenue + teams gain predictable cash flow and better customer lifecycle management.\\n## + Real-World Examples of Agentic AI in High-Growth SaaS Companies\\nThis section + demonstrates practical adoption in the industry:\\n* Automation use cases: + Leading SaaS companies in the US automate onboarding, support, and analytics + using intelligent agents.\\n* Examples: Platforms like Zendesk and HubSpot + deploy agents to optimize workflows, ensuring tasks are completed faster and + with fewer errors.\\n* Benefits observed: Early adopters report higher customer + satisfaction, reduced operational costs, and quicker decision-making.\\nTakeaway: + These examples prove that Agentic AI isn\u2019t just theoretical, it delivers + measurable business value in real SaaS environments.\\n## Implementation Roadmap: + How to Add Agentic AI to Your SaaS Stack\\nThis section explains the step-by-step + approach for adopting Agentic AI:\\n1. Start small: Pilot projects in areas + like customer support or internal operations are low-risk starting points.\\n2. + Gradual integration: Integrate US AI software agents\",\"image\":\"https://www.rolustech.com/wp-content/uploads/2025/12/Blog-Banner-for-Rolustech-51-1.jpg\",\"favicon\":\"https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\"},{\"id\":\"https://www.rolustech.com/blog/the-rise-of-agentic-ai-applications-benefits-and-real-world-use-cases\",\"title\":\"The + Rise of Agentic AI : Applications, Benefits, and Real-World Use Cases\",\"url\":\"https://www.rolustech.com/blog/the-rise-of-agentic-ai-applications-benefits-and-real-world-use-cases\",\"publishedDate\":\"2025-09-24T00:00:00.000Z\",\"author\":\"Sarah + Meyers\",\"text\":\"The Rise of Agentic AI: Benefits and Applications\\n[![Link.png]] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* [Database Migration Services] + \\n* [Implementation Services] \\n* [Comprehensive Training Services] \\n* + [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] + \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* + [Natural Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic + AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* + [Conversational AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] + \\n* [AI Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* + [SaaS and Subscription Business AI Agents] \\n* [Legal and Compliance AI Agents] + \\n* [Financial AI Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] + \\n* [Website Development Solutions] \\n* [Microsoft Dynamics Services] \\n* + [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics Data Migration] + \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft Dynamics Support + and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* [HubSpot Services] + \\n* [HubSpot CMS Customization Services] \\n* [HubSpot Training Service] + \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration Service] \\n* + [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full Stack Development] + \\n* [Full Stack Web & Mobile App Development] \\n* [Full Stack Security + & Compliance Services] \\n* [Full Stack Migration & Porting Services] + \\n* [Full Stack Web Hosting Services] \\n* [Full Stack E-Commerce Solutions] + \\n* [Full Stack API & Integration Services] \\n* [Full Stack Custom Development] + \\n* [Full Stack Data Dashboard Development Services] \\n* [Full Stack Enterprise + Solutions] \\n* [Full Stack Cloud Support Services] \\n* [Product Development] + \\n* [Product Design] \\n* [Product Development Implementation Services] \\n* + [Product Support & Maintenance] \\n* [Machine Learning Services] \\n* + [Mobile Application Development] \\n* [X2CRM] \\n* [Web Development] \\n* + Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] \\n* [About] + \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization + and Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* + [Consulting Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] + \\n* [Industry Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & + Configuration Solutions] \\n* [Integration Services] \\n* [SugarCRM Database + Migration Services] \\n* [Support & Maintenance] \\n* [Development Services] + \\n* [Plugins] \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM + Custom Fields Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: + A Complete Guide to SugarCRM] \\n* [Artificial Intelligence Services] \\n* + [AI Agents] \\n* [Natural Language Processing] \\n* [Retrieval Augmented Generation] + \\n* [Agentic AI Development] \\n* [AI PoC & MVP] \\n* [Generative AI + Solutions] \\n* [Conversational AI & Chatbots] \\n* [AI Optimization] + \\n* [AI Implementation] \\n* [AI Industry Verticals] \\n* [Retail, Events, + and CX AI Agents] \\n* [SaaS and Subscription Business AI Agents] \\n* [Legal + and Compliance AI Agents] \\n* [Financial AI Agents] \\n* [Monday CRM Services] + \\n* [Shopify Services] \\n* [Website Development Solutions] \\n* [Microsoft + Dynamics Services] \\n* [Microsoft Dynamics Integration] \\n* [Microsoft Dynamics + Data Migration] \\n* [Microsoft Dynamics Consultancy Service] \\n* [Microsoft + Dynamics Support and Maintenance] \\n* [Microsoft Dynamics 365 Training] \\n* + [HubSpot Services] \\n* [HubSpot CMS Customization Services] \\n* [HubSpot + Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot Integration + Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] \\n* [Full + Stack Development] \\n* [Full Stack Web & Mobile App Development] \\n* + [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full + Stack E-Commerce Solutions] \\n* [Full Stack API & Integration Services] + \\n* [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* + [Web Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* + [Case Studies] \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] + \\n**\\nContact us\\n[![Rolustech]] [![Rolustech]] \\n# The Rise of Agentic + AI : Applications, Benefits, and Real-World Use Cases\\n* [Your Partner in + CRM, Custom Software & AI Solutions] \\n* [Blog] \\n* The Rise of Agentic + AI : Applications, Benefits, and Real-World Use Cases\\n![Blog Banner for + Rolustech (27)] \\n* **September 24, 2025\\n* **By[Sarah Meyers] \\n* **[Blog] + \\nThe future of artificial intelligence is here, and it\u2019s called[agentic + AI]. Unlike traditional AI models that only process information, agentic AI + systems can plan, act, and learn independently.\\nThis new wave of intelligence + is designed to operate with autonomy. Autonomous agentic AI is not just a + tool, it\u2019s a decision-maker. It handles tasks, adjusts strategies, and + communicates with other systems in real-time.\\nBusinesses worldwide are exploring + agentic AI applications. From finance to healthcare, companies are discovering + how this technology transforms operations. The future of agentic AI is filled + with possibilities, and it\u2019s reshaping how work gets done.\\n## Why Agentic + AI Matters for Businesses\\nWhy is agentic AI gaining so much attention in + 2025? The reason is simple impact.\\nCompanies are moving beyond basic automation. + Agentic AI systems bring autonomy, adaptability, and intelligence to workflows.\\nEfficiency + is another factor. Autonomous agentic AI completes tasks faster and with fewer + errors. It also scales easily, handling multiple processes at once.\\nThe + business case is clear: cost savings, increased productivity, and smarter + decision-making. That\u2019s why many executives view the agentic AI framework + as essential, not optional.\\nFor organizations wanting to stay competitive, + adopting agentic AI applications is no longer a futuristic idea, it\u2019s + a necessity.\\n![Agentic AI] \\n## What Exactly Is Agentic AI?\\nAt its core, + agentic[AI] is a new model of intelligence designed to act independently.\\nUnlike + traditional AI that relies on constant instructions, autonomous agentic AI + sets goals, adapts to changes, and executes tasks without constant oversight.\\nIt + combines machine learning, natural language processing, and reasoning. This + enables agentic AI systems to make decisions at scale.\\nKey agentic AI applications + include:\\n* Customer service automation with adaptive responses\\n* [Financial] + analysis and fraud detection\\n* Supply chain monitoring with predictive adjustments\\n* + Personalized healthcare recommendations\\nThe agentic AI framework ensures + flexibility, scalability, and integration across industries. That\u2019s why + it\u2019s becoming central to the future of agentic AI.\\n## What\u2019s New + with Agentic AI in 2025\\nSo, what\u2019s different about agentic AI systems + today compared to earlier AI?\\n**First**, autonomy has advanced. Autonomous + agentic AI no longer waits for instructions, it identifies problems and solves + them.\\n**Second**, integration is seamless. Modern agentic AI applications + seamlessly connect to[CRM] s, ERPs, and cloud platforms.\\n**Third**, reasoning + has improved. With the agentic AI framework, systems not only analyze but + also explain their decisions.\\n**Finally**, collaboration is real. Agentic + AI systems can communicate with each other, creating networks\",\"image\":\"https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-27.png\",\"favicon\":\"https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\"},{\"id\":\"https://kodexolabs.com/what-is-model-context-protocol-mcp/\",\"title\":\"What + Is Model Context Protocol (MCP) and Why It\u2019s the Future of AI Context + Management\",\"url\":\"https://kodexolabs.com/what-is-model-context-protocol-mcp/\",\"publishedDate\":\"2025-07-15T00:00:00.000Z\",\"author\":\"\",\"text\":\"What + Is Model Context Protocol (MCP) | How it Works[Skip to content] \\n[![]] \\n[About + us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative AI\\n* + [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & Integration] + \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### Product Designing\\n* + [Product Designing] \\n### AI Development\\n* [AI Development] \\n* [AI Chatbot + Development] \\n* [AI Consulting] \\n* [AI Model Development] \\n* [Custom + AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML Consulting] + \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### Software Development\\n* + [Software Development Services] \\n* [Custom Product Development] \\n* [Software + Consulting] \\n* [Mobile App Development] \\n* [Web App Development] ### Data + Engineering\\n* [Data Engineering] \\n* [Data Analytics] \\n* [Data Annotation] + \\n[Who We Serve] \\n![]![] [Get A Free AI Chatbot] \\n[### HealthCare\\n] + EHR Systems, AI based Interviews and Medical Imaging Software[### EdTech\\n] + Personalized Learning, AI based Tutor Systems and Gamification Experiences[### + Fintech\\n] AI powered Trend Forecasting and Predicative Analytics\\n[### + Energy\\n] Smart Grid Solutions and AI based Resource Monitoring[### Automotive\\n] + Predictive Maintenance, Driver Assistance and AI Chatbots[### Real Estate\\n] + AI Home Management and AI based Real Estate Evaluation Systems\\n[### IT and + Tech\\n] AI powered Ticket Generation and Automated Software Production[### + Marketing\\n] Customer Churn Prediction, Customer Segmentation and AI based + Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### IT Staff + Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### Hire + Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career + in AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# What Is Model Context Protocol (MCP) and Why It\u2019s + the Future of AI Context Management\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly + 22, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 22, 2025\\nTable Of + Contents\\n1. [Share This Article] \\n2. [What Is a Model Context Protocol + in Simple Terms?] \\n* [What Does MCP Mean in AI Ecosystems?] \\n* * [What + Is MCP in Context of AI Models and Intelligent Tools?] \\n* [Stay Updated\u2014Join + Our Newsletter!] \\n* [Why Model Context Protocol Matters] \\n* * [The Evidence: + Authentic Data & Adoption Metrics] \\n* * [Summary] \\n* [Anthropic Model + Context Protocol: Origins and Philosophy] \\n* [The Evolution of the Anthropic + Model Context Protocol] \\n* [Struggling with Siloed AI and Complex Integrations? + Start with MCP Today!] \\n* [Why Anthropic Introduced Model Context Protocol + to Solve Tool Integration] \\n* * [Open-source Vision for Universal Context + Access] \\n* * [Anthropic vs. OpenAI: Contrasting Protocol Philosophies] \\n* + * [Why Anthropic\u2019s Philosophy Matters] \\n* [Model Context Protocol Overview + for Developers and Teams] \\n* [Model Context Protocol Explained: Technical + and Functional Overview] \\n* * [A Practical Model Context Protocol Overview + for AI Engineers] \\n* * [Developer Workflows with MCP] \\n* * [Core Features + in Table] \\n* * [Why Teams Should Use MCP] \\n* * [Real Data Points & + Adoption] \\n* * [Key Takeaways for Practitioners] \\n* [How Does Model Context + Protocol Work?] \\n* [How Model Context Protocol Works in Agent-to-Tool Interactions] + \\n* * [Client\u2013Server Lifecycle: Request, Discovery, Invocation, and + Tear-Down] \\n* * [Message Format & Data Transport] \\n* * [Tool Discovery + & Capability Handling] \\n* * [Security Mechanisms Built into MCP] \\n* + * [Real-World Implementation: Simple Stock MCP Server] \\n* * [Why Understanding + \u201CHow MCP Works\u201D Matters] \\n* * [Summary] \\n* [Model Context Protocol + Servers: Infrastructure and Deployment] \\n* [What Is an MCP Server in AI + Workflows?] \\n* * [Common Architectures for Model Context Protocol Servers] + \\n* * [Setting Up a Secure, Scalable MCP Server Backend] \\n* * [Deployment + Example: FastAPI MCP Server] \\n* * [Ensuring Secure Operations] \\n* * [Why + Model Context Protocol Servers Matter] \\n* * [Data Snapshot] \\n* * [Summary] + \\n* [MCP in Agentic AI: Building Autonomous Systems] \\n* [The Role of MCP + in Agentic AI Design] \\n* * [What is MCP in AI Agents \u2014Real Use Case] + \\n* * [MCP in AI Agents vs Prompt-Based Agents] \\n* * [Industry Adoption + & Development] \\n* * [Why Agentic MCP Matters] \\n* * [Summary] \\n* + [Real-World Integrations: n8n, FastAPI, and OpenAI MCP Setups] \\n* [n8n MCP + Integration: Visual Automation Meets AI Tools] \\n* * [MCP Server n8n Integration: + Building Server-Side Tools] \\n* * [FastAPI MCP Integration for Python Microservices] + \\n* * [OpenAI MCP Integration: Enterprise-Grade Pipelines] \\n* * [Integration + Comparison Table] \\n* * [Key Takeaways] \\n* [MCP AI Integration: Benefits, + Standards, and Use Cases] \\n* [MCP AI Integration Benefits: Real Advantages + for Teams] \\n* * [MCP AI Integration Standard: Unified Approach Across Tools] + \\n* * [MCP AI Integration Use Cases: Real-World Applications] \\n* * [Comparison + Table: MCP vs Traditional Connectors] \\n* * [Why These Use Cases Matter] + \\n* * [Summary] \\n* [Business Opportunities with Model Context Protocol] + \\n* [Unlocking Model Context Protocol Business Opportunities] \\n* * [New + Markets, Products & Platforms Enabled by MCP] \\n* * [How Startups Can + Monetize MCP Tooling] \\n* * [Platform Strategy Based on MCP] \\n* * [Financial + Model & ROI] \\n* * [Why These Opportunities Matter] \\n* * [Key Takeaways] + \\n* [Protocol Comparisons: MCP vs the World] \\n* [LangChain vs MCP: Orchestration + vs Protocol] \\n* * [MCP vs RAG: Dynamic Memory vs Retrieval Aggregation] + \\n* * [MCP vs API: Standardization vs Custom Integration] \\n* * [ACP vs + MCP: Competing Context Protocols] \\n* * [MCP vs Agents: Protocol vs Full-Stack + AI Systems] \\n* * [MCP vs Code Integration: Developer Local vs Hosted Protocols] + \\n* * [MCP vs CMC / ICP / MTP: Adjacent Standards Comparison] \\n* * [Broader + Look: MCP vs Other AI Integration Protocols] \\n* * [Why These Comparisons + Matter] \\n* [The Importance of MCP in AI Advancements] \\n* [Why the Importance + of MCP in AI Advancements Cannot Be Ignored] \\n* * [Enhancing LLM Reasoning + with Real-Time Tools] \\n* * [Architecting Next-Gen AI Systems with MCP] \\n* + * [MCP\u2019s Role in Agentic Architectures] \\n* * [Broader Ecosystem Effects] + \\n* * [Summary: MCP Defines the Next AI Frontier] \\n* [Final Thoughts: Is + MCP the Future of AI Infrastructure?] \\n* [Where MCP Fits in the Future of + Intelligent Systems] \\n* * [Summary of Benefits & Trade-Offs] \\n* * + [Strategic Considerations] \\n* * [Getting Started Checklist] \\n* * [Final + Verdict: A Protocol Built for Progress] \\n* [Frequently Asked Questions 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Content-Length: + - '278' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + accept-encoding: + - ACCEPT-ENCODING-XXX + x-api-key: + - X-API-KEY-XXX + method: POST + uri: https://api.exa.ai/search + response: + body: + string: "{\"requestId\":\"4aa434959c87db68ce61dc30fdf7215e\",\"resolvedSearchType\":\"neural\",\"results\":[{\"id\":\"https://theconversation.com/ai-agents-promise-to-arrange-your-finances-do-your-taxes-book-your-holidays-and-put-us-all-at-risk-247021\",\"title\":\"'AI + agents' promise to arrange your finances, do your taxes, book ...\",\"url\":\"https://theconversation.com/ai-agents-promise-to-arrange-your-finances-do-your-taxes-book-your-holidays-and-put-us-all-at-risk-247021\",\"publishedDate\":\"2025-01-15T00:00:00.000Z\",\"author\":\"Uri + Gal\",\"text\":\"\u2018AI agents\u2019 promise to arrange your finances, do + your taxes, book your holidays \u2013and put us all at risk![] \\n[] [] \\n[![The + Conversation]] \\nL\u2019expertise universitaire, l\u2019exigence journalistique\\n![Collage + of an office worker with various digital effects overlaid.] \\n[Sergii Gnatiuk/Shutterstock] + \\n# **\u2018AI agents\u2019 promise to arrange your finances, do your taxes, + book your holidays \u2013and put us all atrisk**\\nPubli\xE9: 15 janvier 2025, + 20:11 CET\\n[****Uri Gal,*University of Sydney*] \\n### Auteur\\n1. [![] Uri + Gal] \\nProfessor in Business Information Systems, University of Sydney\\n### + D\xE9claration d\u2019int\xE9r\xEAts\\nUri Gal ne travaille pas, ne conseille + pas, ne poss\xE8de pas de parts, ne re\xE7oit pas de fonds d'une organisation + qui pourrait tirer profit de cet article, et n'a d\xE9clar\xE9 aucune + autre affiliation que son organisme de recherche.\\n### Partenaires\\n[] \\n[University + of Sydney] apporte un financement en tant que membre adh\xE9rent de The\_Conversation + AU.\\n[Voir les partenaires] de The\_Conversation France\\n### DOI\\n[https://doi.org/10.64628/AA.q9939e443] + \\nhttps://theconversation.com/ai-agents-promise-to-arrange-your-finances-do-your-taxes-book-your-holidays-and-put-us-all-at-risk-247021\\nhttps://theconversation.com/ai-agents-promise-to-arrange-your-finances-do-your-taxes-book-your-holidays-and-put-us-all-at-risk-247021\\nLien + copi\xE9\\nPartager\\nShare article\\nCopy link[Partager par e-mail] \\n[Bluesky] + [Facebook] [WhatsApp] [Messenger] [Linkedin] [X (anciennement Twitter)] \\nPrint + article\\nOver the past two years, generative artificial intelligence (AI) + has captivated public attention. This year signals the beginning of a new + phase: the rise of AI agents.\\nAI agents are autonomous systems that can + make decisions and take actions on our behalf without direct human input. + The vision is that these agents will redefine work and daily life by handling + complex tasks for us. They could negotiate contracts, manage our finances, + or book our travel.\\nSalesforce chief executive Marc Benioff has said he + aims to deploy a[billion AI agents] within a year. Meanwhile Meta chief Mark + Zuckerberg[predicts] AI agents will soon outnumber the global human population.\\nAs + companies race to deploy AI agents, questions about their societal impact, + ethical boundaries and long-term consequences grow more urgent. We stand on + the edge of a technological frontier with the power to redefine the fabric + of our lives.\\nHow will these systems transform our work and our decision-making? + And what safeguards do we need to ensure they serve humanity\u2019s best interests?\\n## + AI agents take the control away\\nCurrent generative AI systems react to user + input, such as prompts. By contrast, AI agents act autonomously within broad + parameters. They operate with unprecedented levels of freedom \u2013they can + negotiate, make judgement calls, and orchestrate complex interactions with + other systems. This goes far beyond simple command\u2013response exchanges + like those you might have with ChatGPT.\\n##### For instance, imagine using + a personal \u201CAI financial advisor\u201D agent to buy life insurance. The + agent would analyse your financial situation, health data and family needs + while simultaneously negotiating with multiple insurance companies\u2019 AI + agents.\\nIt would also need to coordinate with several other AI systems: + your medical records\u2019 AI for health information, and your bank\u2019s + AI systems for making payments.\\nThe use of such an agent promises to reduce + manual effort for you, but it also introduces significant risks.\\nThe AI + might be outmanoeuvred by more advanced insurance company AI agents during + negotiations, leading to higher premiums. Privacy concerns arise as your sensitive + medical and financial information flows between multiple systems.\\nThe complexity + of these interactions can also result in opaque decisions. It might be difficult + to trace how various AI agents influence the final insurance policy recommendation. + And if errors occur, it could be hard to know which part of the system to + hold accountable.\\nPerhaps most crucially, this system risks diminishing + human agency. When AI interactions grow too complex to comprehend or control, + individuals may struggle to intervene in or even fully understand their insurance + arrangements.\\n[![Embedded YouTube video]] \\n## A tangle of ethical and + practical challenges\\nThe insurance agent scenario above is not yet fully + realised. But sophisticated AI agents are rapidly coming onto the market.\\nSalesforce + and Microsoft have already incorporated AI agents into some of their corporate + products, such as[Copilot Actions]. Google has been gearing up for the release + of personal AI agents since announcing its[latest AI model, Gemini 2.0]. OpenAI + is also expected to release a[personal AI agent] in 2025.\\nThe prospect of + billions of AI agents operating simultaneously raises profound ethical and + practical challenges.\\nThese agents will be created by competing companies + with different technical architectures, ethical frameworks and business incentives. + Some will prioritise user privacy, others speed and efficiency.\\nThey will + interact across national borders where regulations governing AI autonomy, + data privacy and consumer protection vary dramatically.\\nThis could create + a fragmented landscape where AI agents operate under conflicting rules and + standards, potentially leading to systemic risks.\\nWhat happens when AI agents + optimised for different objectives \u2013say, profit maximisation versus environmental + sustainability \u2013clash in automated negotiations? Or when agents trained + on Western ethical frameworks make decisions that affect users in cultural + contexts for which they were not designed?\\nThe emergence of this complex, + interconnected ecosystem of AI agents demands new approaches to governance, + accountability, and the preservation of human agency in an increasingly automated + world.\\n## How do we shape a future with AI agents in it?\\nAI agents promise + to be helpful, to save us time. To navigate the challenges outlined above, + we will need to coordinate action across multiple fronts.\\nInternational + bodies and national governments must develop harmonised regulatory frameworks + that address the cross-border nature of AI agent interactions.\\nThese frameworks + should establish clear standards for transparency and accountability, particularly + in scenarios where multiple agents interact in ways that affect human interests.\\nTechnology + companies developing AI agents need to prioritise safety and ethical considerations + from the earliest stages of development. This means building in robust safeguards + that prevent abuse \u2013such as manipulating users or making discriminatory + decisions.\\nThey must ensure agents remain aligned with human values. All + decisions and actions made by an AI agent should be logged in an \u201Caudit + trail\u201D that\u2019s easy to access and follow.\\nImportantly, companies + must develop standardised protocols for agent-to-agent communication. Conflict + resolution between AI agents should happen in a way that protects the interests + of users.\\nAny organisation that deploys AI agents should also have comprehensive + oversight of them. Humans should still be involved in any crucial decisions, + with a clear process in place to do so. The organisation should also systematically + assess the outcomes to ensure agents truly serve their intended purpose.\\nAs + consumers, we all have a crucial role to play, too. Before entrusting tasks + to AI agents, you should demand clear explanations of how these systems operate, + what data they share, and how decisions are made.\\nThis includes understanding + the limits of agent autonomy. You should have the ability to override agents\u2019 + decisions when necessary.\\nWe shouldn\u2019t surrender human agency as we + transition to a world of AI agents. But it\u2019s a powerful technology, and + now is the time to actively shape what that world will look like.\\n**\\n* + [Artificial intelligence (AI)] \\n* [business ethics] \\n* [OpenAI] \\n* [AI + ethics] \\n* [Generative AI] \\n* [AI regulation] \\n* [AI agents] \\n* [Agentic + AI] \\n### Notre audience\\nLe r\xE9seau global The Conversation a une audience + mensuelle de 18 millions de lecteurs et une audience globale de 42 millions + \xE0travers les[republications] sous la licence Creative Commons.\\n### Vous + voulez \xE9crire ?\\n\xC9crivez un article et rejoignez une communaut\xE9 + de plus de 218 100 universitaires et chercheurs de 5 423 institutions.\\n[Enregistrez-vous + maintenant] \\n* [​] \\n* [​] \\n* [​] \\n* [​] \\n* + [​]\",\"image\":\"https://images.theconversation.com/files/642240/original/file-20250114-15-zh5e84.png?ixlib=rb-4.1.0&rect=0%2C171%2C1400%2C700&q=45&auto=format&w=1356&h=668&fit=crop\",\"favicon\":\"https://cdn.theconversation.com/static/tc/logos/web-app-logo-192x192-2d05bdd6de6328146de80245d4685946.png\"},{\"id\":\"https://kodexolabs.com/what-are-autonomous-ai-agents/\",\"title\":\"What + are Autonomous AI Agents? A Complete Guide 2025\",\"url\":\"https://kodexolabs.com/what-are-autonomous-ai-agents/\",\"publishedDate\":\"2025-07-31T00:00:00.000Z\",\"author\":null,\"text\":\"What + are Autonomous AI Agents? A Complete Guide 2025[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# What Are Autonomous + AI Agents? A Complete Guide for 2025 and Beyond\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nJuly 31, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nTable + Of Contents\\n1. [Share This Article] \\n2. [Introduction] \\n3. [What Are + Autonomous AI Agents? Understanding the Fundamentals] \\n* [What Makes an + AI Agent Autonomous?] \\n* * [Autonomous Agents vs Traditional AI Systems] + \\n* * [Key Characteristics of Modern Autonomous Agents] \\n* [How Do Autonomous + AI Agents Work? Technical Architecture Explained] \\n* [Core Components of + Autonomous AI Systems] \\n* * [Types of Autonomous Agents by Intelligence + Level] \\n* * [Machine Learning Integration in Agent Architecture] \\n* [Autonomous + AI Agents 2025: Latest Developments and Technical Advancements] \\n* [Recent + Developments in Autonomous AI Agents 2025] \\n* * [Top Technical Advancements + Shaping 2025] \\n* * [Fully Autonomous AI Agents: What's Now Possible + in 2025] \\n* [Best Autonomous AI Agents Examples and Real-World Applications] + \\n* [Top Consumer Autonomous AI Agents] \\n* * [Enterprise and Business Applications] + \\n* * [Emerging Application Areas in 2025] \\n* * [Performance Metrics and + Success Stories] \\n* [The Role of Autonomous AI Agents in Business and Industry + Impact] \\n* [How Autonomous AI Agents Will Impact Industries in 2025] \\n* + * [Salesforce Autonomous Agents and CRM Integration] \\n* * [Autonomous Agents + Market Growth and Opportunities] \\n* * [Customer Service Revolution Through + AI Agents] \\n* [How to Build Autonomous AI Agents: Development and Implementation + Guide] \\n* [Essential Steps for Building Autonomous AI Agents] \\n* * [Best + Use Cases for Autonomous AI Agents] \\n* * [AI Agent Automation for Startups + in 2025] \\n* * [Integration with External Tools and Systems] \\n* * [Development + Challenges and Solutions] \\n* [Autonomous AI Agents vs Traditional Systems: + A Comprehensive Comparison] \\n* [Comparison of Autonomous AI Agents 2025 + vs Previous Generations] \\n* * [Most Advanced Autonomous AI Agents 2025: + Market Leaders] \\n* * [Human Workers vs Autonomous AI Agents: Collaborative + Future] \\n* * [Evolution from Reactive to Autonomous Systems] \\n* [Future + of Autonomous AI Agents: Trends and Predictions for 2025 and Beyond] \\n* + [How Autonomous AI Agents Are Shaping the Future] \\n* * [Top Trends in Autonomous + AI Agents 2025] \\n* * [What to Expect from Autonomous AI Agents in the Future] + \\n* * [Autonomous AI Agents in 2025 and Beyond: Technology Roadmap] \\n* + * [Challenges and Opportunities Ahead] \\n* [Geographic Trends and Regional + Variations in Autonomous AI Agent Adoption] \\n* [Factors Influencing Regional + Differences] \\n* * [Comparison of Regional Trends] \\n* * [Regional Market + Opportunities] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What are autonomous AI agents and how do they differ from regular AI?] + \\n* * [How can autonomous AI agents be used in business in 2025?] \\n* * + [What makes an AI agent truly autonomous?] \\n* * [What are the best examples + of autonomous AI agents available today?] \\n* * [How do I build autonomous + AI agents for my startup?] \\n* [Conclusion:] \\n* [Related Blogs] \\n## Share + This Article\\n![Illustration of an autonomous AI agent symbolizing the advancements + and potential of AI agents in 2025.] ## Introduction\\nAccording to recent + research, the global autonomous AI agents market is projected to reach[$9.9 + billion in 2025] and is anticipated to grow significantly to[$253.3 billion + by 2034], registering a strong CAGR of43.4%during the forecast period. This + explosive growth is driven by rapid enterprise adoption, continuous advancements + in artificial intelligence, and the expansion of automation across diverse + industries. North America is expected to command the largest market share + in 2025, holding about 40.7% of the global market.\\nThis comprehensive guide + explores autonomous AI agents’ fundamentals, applications, and 2025 + developments, providing essential insights for businesses, developers, and + decision-makers navigating AI transformation.\\n## What Are Autonomous AI + Agents? Understanding the Fundamentals\\nAutonomous AI agents are self-governing + systems that operate independently without constant human intervention, making + decisions and taking actions to achieve specific goals using machine learning + and environmental awareness.\\n[Autonomous AI agents] represent a significant + leap forward from traditional AI systems. Unlike conventional artificial intelligence + that requires explicit programming for every scenario, autonomous agents possess + the capability to learn, adapt, and make independent decisions based on their + environment and objectives. These systems combine[machine learning], natural + language processing, and real-time data analysis to create intelligent entities + that can operate with minimal human oversight.\\n**For example:**Learners + today can[learn French with Langua’s AI platform], which uses these + same principles to personalize instruction, track progress, and respond dynamically + to the user\u2019s input mirroring how autonomous agents behave in complex + business environments.\\nThe key distinction lies in their autonomy \u2013the + ability to perceive their environment, process information, make decisions, + and execute actions without waiting for human commands. This independence + makes them particularly valuable for businesses seeking to automate complex + processes, improve operational efficiency, and provide consistent service + delivery around the clock.\\n#####\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/07/What-Are-Autonomous-AI-Agents-A-Complete-Guide-for-2025.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/agentic-ai-data-analysis-benefits-challenges/\",\"title\":\"Agentic + AI in Data Analysis Benefits and Challenges - Kodexo Labs\",\"url\":\"https://kodexolabs.com/agentic-ai-data-analysis-benefits-challenges/\",\"publishedDate\":\"2025-08-27T00:00:00.000Z\",\"author\":\"\",\"text\":\"[Skip + to content] \\n\\n# Agentic AI in Data Analysis: Benefits, Challenges and + Real-World Impact\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust + 27, 2025\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust 27, 2025\\n\\nTable + Of Contents\\n\\n01. [Share This Article] \\n02. [Introduction] \\n03. [What + is Agentic AI in Data Analysis?] \\n - [Understanding Agentic AI Systems] + \\n - [Key Components of Data Analysis AI Agents] \\n - [How Agentic AI Differs + from Traditional Analytics] \\n04. [What are the Benefits of Agentic AI in + Data Analysis?] \\n - [Enhanced Operational Efficiency] \\n - [Strategic Business + Advantages] \\n - [Technical Benefits for Organizations] \\n05. [Challenges + of Using Agentic AI in Analytics] \\n - [Technical Implementation Challenges] + \\n - [Organizational and Operational Hurdles] \\n - [Ethical Implications + and Governance] \\n06. [How is Agentic AI Used in Data Analytics?] \\n - [Technical + Architecture and Components] \\n - [Implementation Process and Workflow] \\n + - [Integration with Existing Systems] \\n07. [Real-World Examples of Agentic + AI in Data Analysis] \\n - [Financial Services Applications] \\n - [Healthcare + and Medical Analytics] \\n - [Supply Chain Optimization] \\n - [Customer Service + Intelligence] \\n08. [Geographic Trends and Regional Variations] \\n - [Factors + Influencing Regional Differences] \\n - [Regional Adoption Patterns] \\n - + [Market Maturity and Growth Opportunities] \\n09. [How Agentic AI is Changing + Data Analytics] \\n - [Democratization of Data Analytics] \\n - [Transformation + of Business Intelligence] \\n - [Impact on Organizational Roles] \\n10. [Future + Impact of Agentic AI on Decision-Making] \\n - [Evolution of Multiagent Systems] + \\n - [Autonomous Decision-Making at Scale] \\n - [Addressing Ethical Implications] + \\n - [Interoperability and Standards Development] \\n11. [Implementation + Strategy and Best Practices] \\n - [Strategic Planning and Assessment] \\n + - [Technical Implementation Roadmap] \\n - [Change Management and Training] + \\n - [Performance Monitoring and Optimization] \\n12. [At a Glance: Key Takeaways] + \\n13. [Frequently Asked Questions] \\n - [What are the main benefits of AI + in data analysis?] \\n - [What challenges are faced in data analysis with + AI systems?] \\n - [How does agentic AI differ from traditional analytics + tools?] \\n - [What industries benefit most from agentic AI in analytics?] + \\n - [What are the adoption challenges of agentic AI in business intelligence?] + \\n - [How can organizations start implementing agentic AI in their data analysis + processes?] \\n14. [Conclusion] \\n15. [Related Blogs] \\n\\n## Share This + Article\\n\\n## Introduction\\n\\nThis blog explores agentic AI in data analysis, + revealing how autonomous AI systems are transforming business intelligence, + predictive modeling, and decision-making across industries while addressing + implementation challenges and real-world impact.\\n\\nCan businesses truly + achieve autonomous decision-making without human intervention? Agentic AI + in data analysis is revolutionizing how organizations process data streams, + generate insights, and drive innovation through intelligent agents that operate + independently. As companies worldwide seek competitive advantages through + AI-driven analytics, understanding the benefits, challenges, and real-world + impact of agentic AI systems becomes crucial for strategic planning.\\n\\nThis + comprehensive guide examines how [agentic AI systems] are transforming traditional + data analysis approaches. From automated pattern recognition to autonomous + decision-making, these intelligent agents represent the next evolution in + business intelligence and analytical capabilities.\\n\\n## What is Agentic + AI in Data Analysis?\\n\\nAgentic AI in data analysis refers to autonomous + systems that perform complex data tasks, generate insights, and make decisions + without continuous human input. Powered by [machine learning] and large language + models (LLMs), these intelligent agents deliver real-time analytics, enabling + organizations to make data-driven decisions at scale.\\n\\n### Understanding + Agentic AI Systems\\n\\nAgentic AI represents [autonomous agents] that can + independently execute data analysis tasks, learn from patterns, and make strategic + decisions. Unlike traditional AI tools requiring constant human input, these + intelligent agents operate through feedback loops, natural language processing, + and deep learning algorithms to deliver actionable insights automatically.\\n\\nThese + systems leverage [machine learning] algorithms to continuously improve their + analytical capabilities. By processing vast amounts of data autonomously, + they reduce the burden on human analysts while maintaining high accuracy levels + in pattern recognition and predictive modeling.\\n\\n### Key Components of + Data Analysis AI Agents\\n\\n- **Large Language Models (LLMs):** Enable natural + language interfaces and automated report generation\\n- **Machine Learning + Algorithms:** Power pattern recognition and predictive modeling capabilities\\n- + **Autonomous Decision-Making:** Reduces human intervention while maintaining + accuracy\\n- **Multi-Domain Agents:** Handle diverse data sources and complex + tasks simultaneously\\n\\n##### Stay Updated\u2014Join Our Newsletter!\\n\\n###### + Newsletter\\n\\nDon\u2019t miss on the latest updates in the world of AI. + We dispatch custom reports and newsletters every week, with forecasts on trends + to come. Join our community now!\\n\\n#### What are Natural Language Processing + Capabilities?\\n\\n[Natural language processing] enables agentic AI systems + to understand business queries in plain English, transforming complex analytical + requests into executable tasks without requiring technical expertise from + users.\\n\\n### How Agentic AI Differs from Traditional Analytics\\n\\nTraditional + analytics requires manual query creation and interpretation, while agentic + AI systems proactively identify trends, generate natural language summaries, + and adapt their analysis based on changing data patterns. This fundamental + shift enables organizations to achieve true autonomous decision-making capabilities.\\n\\n| + Traditional Analytics | Agentic AI Analytics |\\n| --- | --- |\\n| Manual + query creation | Autonomous pattern detection |\\n| Human interpretation required + | Automated insight generation |\\n| Reactive analysis | Proactive trend identification + |\\n| Technical expertise needed | Natural language interfaces |\\n\\n## What + are the Benefits of Agentic AI in Data Analysis?\\n\\nAgentic AI offers numerous + benefits for data analysis, including enhanced operational efficiency, reduced + human intervention, and the automation of report generation. By leveraging + intelligent pattern recognition and predictive modeling, businesses can drive + innovation and gain a competitive edge in their respective industries.\\n\\n_The + powerful benefits of Agentic AI in Data Analysis, enhancing efficiency, driving + business innovation and providing technical advantages._\\n\\n### Enhanced + Operational Efficiency\\n\\n- **Automated Data Processing:** Eliminates repetitive + tasks and accelerates analysis cycles\\n- **Real-Time Insights:** Processes + data streams continuously for immediate decision support\\n- **Scalable Analysis:** + Handles big data challenges without proportional resource increases\\n- **Reduced + Human Intervention:** Frees analysts for strategic thinking and complex problem-solving\\n\\nOrganizations + implementing [AI development solutions] typically experience [40-60% reduction + in manual analytical tasks]. This transformation allows data scientists to + focus on strategic initiatives while autonomous agents handle routine data + processing and pattern recognition tasks.\\n\\n### Strategic Business Advantages\\n\\n- + **Drive Innovation:** Identifies hidden patterns and opportunities for competitive + advantage\\n- **Improved Decision-Making:** Provides data-driven recommendations + with confidence scores\\n- **Cost Optimization:** Reduces operational overhead + while improving analytical accuracy\\n- **Faster Time-to-Insight:** Accelerates + business intelligence delivery from weeks to hours\\n\\n#### How Does Predictive + Modeling Enhance Business Operations?\\n\\nPredictive modeling within agentic + AI systems analyzes historical patterns to forecast future trends, enabling + proactive business strategies and risk mitigation before issues impact operations + significantly.\\n\\n### Technical Benefits for Organizations\\n\\nAgentic + AI systems integrate seamlessly with existing business intelligence platforms, + offering natural language interfaces that enable non-technical business users + to access complex analytical insights without specialized training. This democratization + of data analysis empowers decision-makers across all organizational levels.\\n\\nAccording + to 2024 research, organizations implementing agentic AI achieve [15-20% improvement + in decision-making] speed while maintaining 95% accuracy rates in pattern + recognition tasks.\\n\\n## Challenges of Using Agentic AI in Analytics\\n\\nKey + challenges include data consistency issues, ethical implications of autonomous + decision-making, integration complexity with existing systems, and ensuring + accuracy in big data analysis scenarios.\\n\\n##### Struggling with Agentic + AI in Analytics? Let Our Experts Provide the Right Solutions!\\n\\n###### + Let\u2019s Talk\\n\\nContact us today to discover how our tailored solutions + can help you navigate the complexities of Agentic AI in Analytics and drive + meaningful results for your business.\\n\\n[Get a Free Consultation] \\n\\n### + Technical Implementation Challenges\\n\\n-\"},{\"id\":\"https://kodexolabs.com/agentic-ai-use-cases/\",\"title\":\"Top + 7 Agentic AI Use Cases in 2025 With Real-World Examples\",\"url\":\"https://kodexolabs.com/agentic-ai-use-cases/\",\"publishedDate\":\"2025-08-04T00:00:00.000Z\",\"author\":null,\"text\":\"Top + 7 Agentic AI Use Cases in 2025 With Real-World Examples[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# 7 Promising + Agentic AI Use Cases with Real-World Business Examples for 2025\\nSyed Ali + Hasan Shah\\n[Agentic AI] \\nAugust 4, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nAugust 4, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [Introduction] \\n3. [What Are Agentic AI Use Cases and Why They Matter in + 2025?] \\n* [Understanding Autonomous AI Agents vs Traditional AI Systems] + \\n* * [Core Components of Agentic AI Systems] \\n* * [Market Size and Growth + Projections] \\n* [1- Top Agentic AI Use Cases in Healthcare with Real-Life + Examples] \\n* [Autonomous Medical Imaging and Diagnostics] \\n* * [Clinical + Decision Support Systems] \\n* * [Automated Clinical Trial Management] \\n* + [2- Agentic AI Use Cases in Sales Companies and Performance Optimization] + \\n* [Autonomous Lead Qualification and Scoring] \\n* * [Predictive Sales + Forecasting and Analytics] \\n* * [Personalized Customer Engagement and Recommendations] + \\n* * [Salesforce Agentic AI Use Cases Implementation] \\n* [3- Agentic AI + Use Cases in Customer Service, Supply Chain and Risk Management] \\n* [Customer + Service Automation and Support] \\n* * [Supply Chain Management and Optimization] + \\n* * [Automated Fraud Detection and Risk Management] \\n* [4- Agentic AI + Use Cases in Retail with Real-Life Examples] \\n* [Intelligent Inventory Management + Systems] \\n* * [Personalized Shopping and Recommendation Engines] \\n* * + [Dynamic Pricing and Revenue Optimization] \\n* * [Autonomous Customer Experience + Management] \\n* [5- Agentic AI Use Cases in Manufacturing, Finance, Education + and Energy] \\n* [Manufacturing and Industrial Applications] \\n* * [Financial + Services and Banking] \\n* * [Education and Learning Management] \\n* * [Energy + and Utilities Industry Applications] \\n* [6- Future-Ready Agentic AI Use + Cases for Enterprises Worldwide] \\n* [Autonomous Workflow Orchestration] + \\n* * [Multi-Agent System Collaboration] \\n* * [Adaptive Business Process + Optimization] \\n* * [Enterprise AI Workflows and Integration] \\n* [Geographic + Trends and Regional Variations in Agentic AI Adoption] \\n* [Factors Influencing + Regional Differences] \\n* * [Comparison of Regional Trends] \\n* * [Market + Size Variations by Region] \\n* [7- Agentic AI Use Cases for Decision-Making + and Automation] \\n* [Autonomous Resource Allocation and Management] \\n* + * [Real-Time Risk Assessment and Mitigation] \\n* * [Adaptive Strategy Optimization] + \\n* * [Autonomous Business Intelligence and Analytics] \\n* [Implementation + Guide for Agentic AI Systems in Modern Businesses] \\n* [1. Technical Infrastructure + Requirements] \\n* * [2. AI Model Selection and Development] \\n* * [3. Change + Management and User Adoption] \\n* * [4. Security and Compliance Considerations] + \\n* [Measuring Success and ROI from Agentic AI Implementations] \\n* [Key + Performance Indicators for Agentic AI] \\n* * [ROI Calculation Framework] + \\n* * [Performance Monitoring and Optimization] \\n* [At a Glance: Key Takeaways] + \\n* [Frequently Asked Questions] \\n* [What are the most effective Agentic + AI use cases in 2025?] \\n* * [Which industries benefit most from Agentic + AI in 2025?] \\n* * [How do agentic AI use cases deliver ROI for businesses?] + \\n* * [What are real-life examples of successful agentic AI implementations?] + \\n* * [How can startups implement agentic AI use cases effectively?] \\n* + [Conclusion] \\n* [Related Blogs] \\n## Share This Article\\n![A smiling businesswoman + interacts with an AI dashboard surrounded by AI robots, charts, coins and + analytics, symbolizing agentic AI use cases across industries like healthcare, + sales and retail in 2025.] ## Introduction\\nWhat if AI agents could autonomously + handle complex business processes, make intelligent decisions and deliver + measurable ROI without constant human oversight? Agentic AI use cases are + revolutionizing how enterprises operate in 2025, with autonomous systems transforming + everything from customer service to supply chain management. This comprehensive + guide explores 7 promising agentic AI applications with real-world business + examples that demonstrate tangible value across industries.\\nThis blog explores + 7 promising agentic AI use cases with real-world business examples for 2025, + offering actionable insights for enterprises seeking autonomous AI solutions + that deliver measurable ROI and operational efficiency.\\n## What Are Agentic + AI Use Cases and Why They Matter in 2025?\\nAgentic AI use cases involve autonomous + AI systems that can make independent decisions, execute complex tasks, and + adapt to changing conditions without human intervention, representing a[$196.6 + billion market opportunity by 2034].\\nAgentic AI represents the next evolution + of artificial intelligence, where systems function as autonomous agents capable + of independent decision-making and goal-oriented behavior. Unlike traditional + AI systems that require constant human oversight,[agentic AI applications] + can analyze complex situations, adapt to changing environments, and execute + multi-step processes autonomously.\\n### Understanding Autonomous AI Agents + vs Traditional AI Systems\\nTraditional AI systems operate within predefined + parameters, responding to specific inputs with programmed outputs. In contrast, + autonomous agents leverage advanced[machine learning] algorithms\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/08/7-Promising-Agentic-AI-Use-Cases-with-Real-World-Business-Examples-for-2025.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/what-is-agentic-ai/\",\"title\":\"Understanding + Agentic AI: Definitions, Frameworks and Real-World Applications\",\"url\":\"https://kodexolabs.com/what-is-agentic-ai/\",\"publishedDate\":\"2025-03-04T00:00:00.000Z\",\"author\":\"Kodexo + Labs\",\"text\":\"What Is Agentic AI? Types & Real-World Examples (2025)[Skip + to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI + Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI Integration] + \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] \\n* [Gen + AI Consulting] ### Product Designing\\n* [Product Designing] \\n### AI Development\\n* + [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI + Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] + \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] + \\n### Software Development\\n* [Software Development Services] \\n* [Custom + Product Development] \\n* [Software Consulting] \\n* [Mobile App Development] + \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* + [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A + Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# What Is Agentic + AI? Definition, Types and Examples\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly + 28, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 28, 2025\\nTable Of + Contents\\n1. [Share This Article] \\n2. [Why Agentic AI Is Transforming Modern + Business] \\n3. [What Is Agentic AI? Core Definition and Fundamentals] \\n* + [What Makes AI "Agentic"? Key Characteristics] \\n* * [Agentic AI + Definition in Technical Terms] \\n* * [Key Characteristics of Agentic Systems] + \\n* [What Are AI Agents and How Do They Function?] \\n* [What Is an AI Agent + in Simple Terms?] \\n* * [Core Components of AI Agents] \\n* * [What Are Agents + in AI Architecture?] \\n* [Types of AI Agents – Complete Classification + Guide] \\n* [Different Types of AI Agents by Capability] \\n* * [Types of + AI Agents by Architecture] \\n* * [AI Agent Types by Application Domain] \\n* + [How Do AI Agents Work? Technical Operations and Workflows] \\n* [The AI Agent + Operational Cycle] \\n* * [Implementation Reality Check:] \\n* * [What Can + AI Agents Do? Core Capabilities] \\n* * [Agentic AI Workflows in Practice] + \\n* * [Agentic AI Platform Requirements] \\n* [What are the best agentic + AI Platforms in 2025?] \\n* [Detailed Platform Comparison] \\n* * [Platform + Selection Criteria:] \\n* [Real-World Examples of Agentic AI and AI Agents] + \\n* [Examples of AI Agents in Business Applications] \\n* * [Example of Agentic + AI in Different Industries] \\n* * [Agentic AI Examples in Software Development] + \\n* [Industry Applications and Business Use Cases for AI Agents] \\n* [Business + Benefits of Implementing AI Agents] \\n* * [AI Agent Implementation by Industry + Vertical] \\n* * [Why Industry-Specific Agentic AI Requires Deep Expertise] + \\n* * [Custom Software Development with AI Agents] \\n* [ROI Through Professional + Implementation] \\n* [Why Professional Agentic AI Implementation Delivers + 3x Better ROI] \\n* [Air Canada\u2019s DIY Chatbot Failure vs Professional + AI Deployment] \\n* [Case Overview: When DIY AI Goes Wrong] \\n* * [DIY Outcome] + \\n* * [Turning Point: Professional Implementation] \\n* * [Results of the + Professional Rollout] \\n* * [Why the Professional Solution Succeeded] \\n* + * [Why This Wasn\u2019t Agentic AI \u2014and Why That Matters] \\n* [Geographic + Trends and Regional Variations in Agentic AI Adoption] \\n* [Factors Influencing + Regional Differences] \\n* * [Comparison of Regional Trends] \\n* [Agentic + AI vs Traditional AI – Key Differences and Advantages] \\n* [Traditional + AI vs Agentic AI Comparison] \\n* * [Evolution from Reactive to Proactive + AI] \\n* * [Advantages of Agentic AI in Software Development] \\n* [Building + and Implementing AI Agents – Development Guide] \\n* [AI Agent Development + Lifecycle] \\n* * [Best Practices for AI Agent Implementation] \\n* * [Common + Challenges and Solutions] \\n* * [Why These Challenges Persist:] \\n* [Why + Do Most Agentic AI Projects Fail?] \\n* [Top 10 Reasons AI Projects Fail] + \\n* * [Case 1: Citigroup \u2013AI-Controlled Trading Gone Wrong] \\n* * [Case + 2: Northwell Health \u2013Generative AI and HIPAA Exposure] \\n* * [Case 3: + JD Sports \u2013Black Friday Chatbot Collapse] \\n* [Implementation Complexity + Reality Check] \\n* [What Does It Really Take to Build Enterprise AI Agents?] + \\n* * [Real Implementation Requirements] \\n* * [Timeline Reality:] \\n* + * [Hidden Challenges Companies Face:] \\n* [Platform Comparison – Position + as Complex] \\n* [Which Agentic AI Platform Should Businesses Choose?] \\n* + [Future of Agentic AI and Emerging Trends] \\n* [Emerging Trends in Agentic + AI] \\n* * [Technology Convergence and Innovation] \\n* * [Impact on Business + and Software Development] \\n* [At a Glance: Key Takeaways] \\n* [Frequently + Asked Questions] \\n* [What is the difference between AI and agentic AI?] + \\n* * [How do AI agents learn and improve over time?] \\n* * [What are the + main risks of implementing agentic AI in business?] \\n* * [Can AI agents + work together in teams?] \\n* * [What industries benefit most from agentic + AI implementation?] \\n* [Conclusion: Embracing the Future of Autonomous AI] + \\n* [Related Blogs] \\n## Share This Article\\n![Illustration of a virtual + AI agent emerging from a computer screen and interacting with a human, representing + the concept of agentic AI.] ## Why Agentic AI Is Transforming Modern Business\\nDid + you know that agentic AI systems can autonomously make decisions, learn from + experiences, and execute complex tasks without human intervention\u2014revolutionizing\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/07/What-Is-Agentic-AI-Definition-Types-and-Examples.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/agentic-ai-data-analytics/\",\"title\":\"How + Agentic AI Elevates Data Analytics for the 2025 Industry Shift\",\"url\":\"https://kodexolabs.com/agentic-ai-data-analytics/\",\"publishedDate\":\"2025-08-26T00:00:00.000Z\",\"author\":\"\",\"text\":\"[Skip + to content] \\n\\n# How Agentic AI Elevates Data Analytics for the 2025 Industry + Shift\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust 26, 2025\\n\\nSyed + Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust 26, 2025\\n\\nTable Of Contents\\n\\n01. + [Share This Article] \\n02. [Introduction] \\n03. [What Are AI Agents in Data + Analytics?] \\n - [Understanding Agentic Architecture in Analytics] \\n - + [Key Characteristics of Autonomous AI Agents] \\n04. [How Does AI Make Decisions + in Modern Analytics?] \\n - [The Technology Behind AI Decision Making] \\n + - [AI Decision Making Software Components] \\n - [What Technology Can Collect + Information to Make Decisions] \\n05. [Future of Data Analytics with AI in + 2025] \\n - [Market Trends Shaping 2025 Analytics Landscape] \\n - [How AI + Can Enhance Strategic Decision-Making for Sustainability] \\n - [Emerging + Technologies Driving the 2025 Shift] \\n06. [Technical Infrastructure for + Agentic AI Analytics] \\n - [Essential Data Infrastructure Components] \\n + - [AI Models and Processing Framework] \\n - [Integration Architecture for + Enterprise Systems] \\n07. [Industry Applications of Agentic AI in Data Analytics] + \\n - [Supply Chain Optimization and Analytics] \\n - [Customer Engagement + and Marketing Applications] \\n - [Financial Operations and Risk Management] + \\n08. [Data Management and Quality Assurance] \\n - [Data Quality and Governance + Framework] \\n - [Real-Time Analytics and Processing] \\n - [Data Mesh Architecture + Implementation] \\n09. [Enterprise Solutions and Self-Service BI] \\n - [Self-Service + BI Powered by AI Agents] \\n - [Automated Workflows and Process Optimization] + \\n - [Enterprise Analytics Platform Integration] \\n10. [Emerging Technologies + and AI Integration] \\n - [Generative AI in Data Analytics] \\n - [Natural + Language Processing Advancements] \\n - [Robotic Process Automation Integration] + \\n11. [Geographic Trends and Regional Variations] \\n - [Factors Influencing + Regional Differences] \\n - [Comparison of Regional Trends] \\n12. [Implementation + Challenges and Solutions] \\n - [Regulatory Challenges and Compliance] \\n + - [Technical Integration and Infrastructure] \\n - [Strategic Implementation + Approaches] \\n13. [Industry-Specific Use Cases and Success Stories] \\n - + [Healthcare and Life Sciences] \\n - [Financial Services and Banking] \\n + - [Manufacturing and Industrial Automation] \\n - [Education and Training] + \\n14. [At a Glance: Key Takeaways] \\n15. [Frequently Asked Questions] \\n + - [What are AI agents in data analytics?] \\n - [How is agentic AI used in + data analytics?] \\n - [What technology can collect information to make decisions?] + \\n - [How does AI enhance strategic decision-making for sustainability?] + \\n - [What is the future of data analytics with AI in 2025?] \\n - [What + are the main challenges in implementing agentic AI for data analytics?] \\n16. + [Conclusion] \\n17. [Related Blogs] \\n\\n## Share This Article\\n\\n## Introduction\\n\\nAre + businesses ready for the autonomous revolution in data analytics that\u2019s + reshaping entire industries? [Agentic AI] systems that can act independently + to analyze data, make decisions, and execute actions\u2014is driving the 2025 + industry shift toward fully autonomous analytics platforms. This transformation + promises to eliminate traditional bottlenecks in data processing while delivering + unprecedented insights for competitive advantage.\\n\\nThis comprehensive + guide explores how agentic AI elevates data analytics for the 2025 industry + shift, covering technical implementation, business applications, and strategic + advantages for modern organizations seeking autonomous intelligence solutions.\\n\\n## + What Are AI Agents in Data Analytics?\\n\\n[AI agents] in data analytics are + autonomous systems that independently collect, analyze, and act on data insights + without human intervention, revolutionizing how organizations process information + and make decisions through intelligent automation.\\n\\nAI agents represent + the next evolution in data analytics, moving beyond traditional reactive systems + to proactive, autonomous intelligence platforms. These systems combine [machine + learning] capabilities with decision-making frameworks to create truly independent + analytics solutions. Unlike conventional analytics tools that require human + oversight, agentic AI systems can identify patterns, generate insights, and + execute actions autonomously.\\n\\n### Understanding Agentic Architecture + in Analytics\\n\\nAgentic architecture represents a fundamental shift from + traditional data processing models. At its core, agentic AI consists of autonomous + agents that can perceive their environment, make decisions based on predefined + goals, and take actions to achieve desired outcomes. These systems integrate + multiple AI technologies including [deep learning], natural language processing, + and predictive analytics.\\n\\nMulti-agent systems further enhance this architecture + by deploying specialized agents for different analytics tasks. For example, + one agent might focus on data quality monitoring while another handles predictive + modeling. This distributed approach allows for more robust and scalable analytics + solutions that can adapt to changing business requirements.\\n\\n- **Autonomous + Decision Making:** Agents operate independently without constant human supervision\\n- + **Goal-Oriented Behavior:** Systems work toward specific business objectives\\n- + **Multi-Agent Coordination:** Specialized agents collaborate for complex analytics + tasks\\n- **Adaptive Learning:** Agents improve performance through continuous + learning\\n\\n##### Stay Updated\u2014Join Our Newsletter!\\n\\n###### Newsletter\\n\\nDon\u2019t + miss on the latest updates in the world of AI. We dispatch custom reports + and newsletters every week, with forecasts on trends to come. Join our community + now!\\n\\n### Key Characteristics of Autonomous AI Agents\\n\\n[Autonomous + AI agents] in data analytics exhibit several critical characteristics that + distinguish them from traditional analytics tools. Independence remains the + primary differentiator\u2014these systems can operate without human intervention + while maintaining high accuracy levels. According to 2024 research, [33% of + enterprise software applications will include agentic AI] capabilities by + 2028.\\n\\nSelf-learning capabilities enable these agents to improve their + performance over time through experience and feedback. This continuous improvement + cycle ensures that analytics accuracy and relevance increase with usage. Integration + capabilities allow seamless connection with existing [data analytics services] + and enterprise systems.\\n\\n| Characteristic | Traditional Analytics | Agentic + AI Analytics |\\n| --- | --- | --- |\\n| Decision Making | Human-dependent + | Autonomous |\\n| Learning Capability | Static models | Continuous improvement + |\\n| Response Time | Hours to days | Real-time |\\n| Scalability | Manual + scaling | Auto-scaling |\\n\\n## How Does AI Make Decisions in Modern Analytics?\\n\\nAI + makes analytics decisions through advanced algorithms that process vast datasets, + identify patterns, and apply predefined rules or learned behaviors to generate + actionable insights automatically within milliseconds of data ingestion.\\n\\nThe + decision-making process in AI-powered analytics involves complex algorithmic + frameworks that combine statistical analysis, pattern recognition, and predictive + modeling. These systems utilize [neural networks] and machine learning algorithms + to process structured and unstructured data simultaneously, creating comprehensive + analytical insights.\\n\\n_AI agents in data analytics transform business + intelligence with data-driven AI agents, advanced decision-making software + and autonomous insights._\\n\\n### The Technology Behind AI Decision Making\\n\\nModern + AI decision-making systems rely on sophisticated technology stacks that integrate + multiple analytical approaches. Machine learning algorithms form the foundation, + enabling systems to learn from historical data patterns and make predictions + about future outcomes. Deep learning models handle complex pattern recognition + tasks, particularly useful for unstructured data analysis.\\n\\n[Natural Language + Processing] capabilities allow AI systems to interpret human language queries + and convert them into analytical tasks. Integration with large language models + provides contextual understanding, enabling more nuanced decision-making processes. + These technologies work together to create comprehensive analytical solutions + that can handle diverse data types and analytical requirements.\\n\\n#### + What Is Real-Time Decision Processing?\\n\\nReal-time decision processing + enables AI systems to analyze incoming data and make decisions within milliseconds. + This capability is crucial for applications requiring immediate responses, + such as fraud detection or supply chain optimization.\\n\\n### AI Decision + Making Software Components\\n\\nEffective AI decision-making software consists + of several integrated components working in harmony. Real-time data processing + engines handle continuous data streams from multiple sources, ensuring decisions + are based on the most current information available. Predictive analytics + frameworks use historical data to forecast future trends and outcomes.\\n\\nAutomated + workflow systems execute decisions once they\u2019re made, connecting analytical + insights to business actions. Our [AI development services] include comprehensive + workflow automation capabilities that ensure seamless decision implementation.\"},{\"id\":\"https://kodexolabs.com/agentic-rag-with-ai-agents/\",\"title\":\"Agentic + RAG: Enhancing Retrieval-Augmented Generation with AI Agents\",\"url\":\"https://kodexolabs.com/agentic-rag-with-ai-agents/\",\"publishedDate\":\"2025-09-22T00:00:00.000Z\",\"author\":\"\",\"text\":\"Agentic + RAG: AI Agents Improve Retrieval-Augmented Generation[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# Agentic RAG: + Enhancing Retrieval-Augmented Generation with AI Agents\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nSeptember 22, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nSeptember + 22, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. [The Future of + Intelligent Information Retrieval] \\n3. [What is Agentic RAG in AI? Understanding + Core Concepts] \\n* [Defining Agentic Retrieval-Augmented Generation] \\n* + * [Key Components of Agentic RAG Architecture] \\n* [How Agentic RAG Improves + Retrieval-Augmented Generation Performance] \\n* [Intelligent Query Formulation + and Refinement] \\n* * [Performance Metrics and Benchmarks] \\n* [AI Agent-Powered + RAG Frameworks: Technical Implementation] \\n* [System Architecture Components] + \\n* * [Implementation Steps and Best Practices] \\n* [Enterprise Integration: + Can Agentic RAG Work with Existing AI Systems?] \\n* [Enterprise Data Source + Compatibility] \\n* * [Implementation Timeline and Considerations] \\n* [Industry + Applications: Transforming Sectors with Agentic RAG] \\n* [Healthcare and + Medical Research Applications] \\n* * [Legal and Compliance Applications] + \\n* [Advanced Multi-Agent Collaboration in RAG Systems] \\n* [Specialized + Agent Architectures] \\n* * [Coordination Mechanisms and Communication Protocols] + \\n* [User Experience and Business Value Optimization] \\n* [Performance Optimization + Strategies] \\n* * [Data Privacy and Security Implementation] \\n* [Technology + Stack: From Vector Stores to Large Language Models] \\n* [Essential Development + Frameworks and Tools] \\n* * [Vector Database Selection and Optimization] + \\n* [Future Trends and Emerging Applications] \\n* [Next-Generation Capabilities + and Features] \\n* * [Market Trends and Investment Patterns] \\n* [At a Glance: + Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What is the difference + between traditional RAG and agentic RAG?] \\n* * [How can agentic RAG improve + accuracy in enterprise applications?] \\n* * [Can agentic RAG integrate with + existing customer support systems?] \\n* * [What programming languages and + tools are needed for agentic RAG implementation?] \\n* * [How does multi-agent + collaboration work in RAG systems?] \\n* * [What are the main benefits of + implementing agentic RAG for businesses?] \\n* [Conclusion: Transforming Information + Systems for the Future] \\n* [Related Blogs] \\n## Share This Article\\n![Illustration + of an AI agent enhancing retrieval-augmented generation (RAG) with autonomous + decision-making, representing Agentic AI with RAG to improve accuracy and + performance.] ## The Future of Intelligent Information Retrieval\\nWhat if + AI systems could not just retrieve information but intelligently reason about + what they find? Agentic RAG represents the next evolution in retrieval-augmented + generation, combining AI agents with traditional RAG systems to create more + intelligent, autonomous information processing capabilities. This comprehensive + guide explores how businesses can leverage[agentic AI] with RAG to transform + their knowledge management and[content generation] processes.\\nThis blog + explores Agentic RAG’s revolutionary approach to enhancing retrieval-augmented + generation with[AI agents], offering practical insights for developers, businesses, + and IT professionals seeking advanced[artificial intelligence] solutions.\\n## + What is Agentic RAG in AI? Understanding Core Concepts\\nAgentic RAG combines[autonomous + AI agents] with retrieval-augmented generation to create intelligent systems + that can independently query, analyze, and synthesize information from knowledge + bases, delivering[50% higher accuracy] than traditional RAG approaches.\\nAgentic + RAG represents a paradigm shift in how AI systems process and retrieve information. + Unlike traditional RAG systems that follow predetermined retrieval patterns, + AI agents in agentic RAG make autonomous decisions about when, what, and how + to retrieve information based on contextual understanding.\\n### Defining + Agentic Retrieval-Augmented Generation\\nAgentic RAG integrates autonomous + AI agents into traditional retrieval-augmented generation systems, enabling + intelligent decision-making about information retrieval strategies. According + to 2024 AI Trends Report, agentic systems demonstrate superior performance + in complex, multi-domain knowledge retrieval scenarios where traditional approaches + often fail.\\nThe system architecture incorporates planning modules that analyze + user queries, execution agents that perform retrieval operations, and evaluation + mechanisms that assess result quality. This multi-layered approach enables + dynamic adaptation to user needs and context changes.\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, + with forecasts on trends to come. Join our community now!\\n#### What Makes + Agentic RAG Different?\\nAgentic RAG systems possess autonomous reasoning + capabilities that allow them to modify retrieval strategies mid-process, unlike + traditional RAG systems that follow fixed patterns regardless of context or + result quality.\\n### Key Components of Agentic RAG Architecture\\n* **Planning + Agent:**Analyzes user queries and develops retrieval strategies\\n* **Execution + Agent:**Performs actual information retrieval operations\\n* **Memory System:**Maintains + context across multiple interactions\\n* **Evaluation Module:**Assesses and + improves retrieval quality continuously|Component|Traditional RAG|Agentic + RAG|\\nQuery Processing|Static patterns|Dynamic analysis|\\nRetrieval Strategy|Predetermined|Adaptive|\\nContext + Awareness|Limited|Comprehensive|\\n\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/09/Enhancing-RAG-with-AI-Agents.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/agentic-ai-healthcare-applications-benefits-challenges/\",\"title\":\"Agentic + AI Applications, Benefits and Challenges in Healthcare\",\"url\":\"https://kodexolabs.com/agentic-ai-healthcare-applications-benefits-challenges/\",\"publishedDate\":\"2025-08-15T00:00:00.000Z\",\"author\":\"\",\"text\":\"[Skip + to content] \\n\\n# Agentic AI Applications, Benefits and Challenges in Healthcare\\n\\nSyed + Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust 15, 2025\\n\\nSyed Ali Hasan + Shah\\n\\n[Agentic AI] \\n\\nAugust 15, 2025\\n\\nTable Of Contents\\n\\n01. + [Share This Article] \\n02. [Introduction] \\n03. [What is Agentic AI in Healthcare? + Core Concepts and Definitions] \\n - [Understanding Agentic AI Systems] \\n + - [Key Components of Healthcare AI Agents] \\n - [Difference Between Traditional + AI and Agentic AI in Medicine] \\n04. [What Are Some Real-World Applications + of Agentic AI in Healthcare?] \\n - [Autonomous Diagnostic and Clinical Decision + Support] \\n - [Intelligent Patient Monitoring and Care Management] \\n - + [Multi-Agent Healthcare Coordination Systems] \\n - [AI-Powered Surgical and + Procedural Assistance] \\n05. [Benefits of Agentic AI in Healthcare Operations] + \\n - [Enhanced Patient Care and Safety] \\n - [Operational Efficiency and + Resource Optimization] \\n - [Cost Reduction and ROI] \\n - [Improved Clinical + Decision-Making] \\n06. [What Are the Main Challenges in Implementing Agentic + AI Solutions in Healthcare?] \\n - [Regulatory and Compliance Challenges] + \\n - [Data Privacy and Security Concerns] \\n - [Technical Integration and + Infrastructure Challenges] \\n - [Clinical Validation and Trust Issues] \\n + - [Organizational Change Management] \\n07. [Technical Infrastructure for + Healthcare AI Agents] \\n - [Core AI Technologies and Frameworks] \\n - [Data + Integration and Management Systems] \\n - [Retrieval-Augmented Generation + (RAG) in Healthcare] \\n - [Security and Compliance Infrastructure] \\n08. + [AI Agent Healthcare Applications Trending in 2025] \\n - [Predictive Maintenance + and Equipment Management] \\n - [Autonomous Personalized Treatment Protocols] + \\n - [Multi-Agent Collaboration in Healthcare Ecosystems] \\n - [Advanced + Healthcare Analytics and Insights] \\n - [Technology Trends Shaping Healthcare + AI] \\n09. [Leading Platforms and Tools for Healthcare AI Agents] \\n - [Enterprise + AI Agent Development Platforms] \\n - [Specialized Healthcare AI Agent Solutions] + \\n - [Integration and Workflow Management Tools] \\n - [Model Context Protocol + and Advanced Features] \\n10. [Business Process Applications and Use Cases] + \\n - [Patient-Facing Customer Service Applications] \\n - [Financial Services + and Revenue Cycle Management] \\n - [IT Support and Incident Response] \\n + - [Employee Support and Workforce Management] \\n - [Fraud Detection and Compliance + Monitoring] \\n11. [Geographic Trends and Regional Adoption Patterns] \\n + - [Factors Influencing Regional Adoption Differences] \\n - [Comparison of + Regional Healthcare AI Adoption] \\n - [Regional Innovation Patterns] \\n12. + [Security, Privacy and Ethical Considerations] \\n - [Human Oversight and + Governance Frameworks] \\n - [Data Privacy and Patient Consent Management] + \\n - [Ethical AI Decision-Making] \\n - [Transparency and Explainability + Requirements] \\n13. [Implementation Strategy and Best Practices] \\n - [Strategic + Planning and Assessment] \\n - [Phased Deployment Methodology] \\n - [Change + Management and Training Programs] \\n - [Performance Monitoring and Optimization] + \\n - [Risk Management and Contingency Planning] \\n14. [At a Glance: Key + Takeaways] \\n15. [Frequently Asked Questions] \\n - [What are the key differences + between traditional healthcare AI and agentic AI systems?] \\n - [How do healthcare + organizations measure ROI from agentic AI implementations?] \\n - [What regulatory + approvals are required for healthcare AI agents?] \\n - [Can small healthcare + practices implement agentic AI solutions cost-effectively?] \\n - [How do + agentic AI systems maintain patient safety during autonomous operations?] + \\n - [What technical infrastructure is needed for healthcare AI agent deployment?] + \\n16. [Conclusion] \\n17. [Related Blogs] \\n\\n## Share This Article\\n\\n## + Introduction\\n\\nCould autonomous AI agents transform patient care by making + real-time clinical decisions without human intervention? Agentic AI in healthcare + is redefining medicine, shifting from rigid rule-based systems to intelligent, + autonomous medical assistants capable of [adaptive learning], complex reasoning, + and independent decision-making. As hospitals in the US, EU, and APAC pursue + innovation to improve patient outcomes, reduce operational inefficiencies, + and comply with HIPAA, GDPR, and other regulatory standards, understanding + the applications, benefits, and challenges of Agentic AI is critical for strategic + adoption in 2025.\\n\\n## What is Agentic AI in Healthcare? Core Concepts + and Definitions\\n\\n[Agentic AI in healthcare] refers to autonomous AI systems + that can independently perform complex medical tasks, make clinical decisions, + and interact with healthcare environments without constant human intervention, + utilizing advanced machine learning and [natural language processing].\\n\\nAgentic + AI systems represent a new generation of [artificial intelligence] that operates + with significant autonomy, goal-directed behavior, and the ability to adapt + to changing healthcare environments. Unlike traditional AI tools that require + explicit instructions, these agents can perceive medical data, reason through + clinical scenarios, and take appropriate actions to achieve therapeutic objectives.\\n\\n### + Understanding Agentic AI Systems\\n\\n[Agentic AI systems] act as autonomous + medical assistants \u2014 capable of reasoning, planning, and executing complex + workflows with minimal human input. Using ML algorithms and specialized NLP + engines trained on medical terminology, they interpret patient records, imaging, + and sensor data to make informed, real-time decisions.In US hospitals, they\u2019re + increasingly deployed in radiology, emergency rooms, and telemedicine platforms, + while in UK NHS trusts and Singapore\u2019s healthcare network, they support + multi-department care coordination. The global AI in healthcare market is + projected to reach $148.4 billion by 2029, with Agentic AI driving much of + this expansion.\\n\\n### Key Components of Healthcare AI Agents\\n\\n- **Autonomous + Decision-Making:** Ability to analyze patient data and make clinical recommendations + without human intervention\\n- **Multi-Modal Data Processing:** Integration + of electronic health records, medical imaging, and sensor data\\n- **Goal-Oriented + Behavior:** Focus on specific healthcare outcomes like patient safety or treatment + optimization\\n- **Adaptive Learning:** Continuous improvement through feedback + loops and real-world medical experience\\n\\n##### Stay Updated\u2014Join + Our Newsletter!\\n\\n###### Newsletter\\n\\nDon\u2019t miss on the latest + updates in the world of AI. We dispatch custom reports and newsletters every + week, with forecasts on trends to come. Join our community now!\\n\\n### Difference + Between Traditional AI and Agentic AI in Medicine\\n\\nTraditional healthcare + AI systems function as sophisticated diagnostic tools, while agentic AI systems + act as autonomous medical assistants capable of independent reasoning, planning, + and execution of complex healthcare workflows. This distinction is crucial + for [healthcare software development] organizations seeking to implement next-generation + solutions.\\n\\n| Feature | Traditional Healthcare AI | Agentic AI in Healthcare + |\\n| --- | --- | --- |\\n| Operation Mode | Rule-based, requires human direction + | Autonomous, goal-directed behavior |\\n| Decision Making | Provides recommendations + | Makes independent decisions |\\n| Learning Capability | Static algorithms + | Continuous adaptive learning |\\n| Interaction Style | Tool-based assistance + | Collaborative partnership |\\n\\n## What Are Some Real-World Applications + of Agentic AI in Healthcare?\\n\\nReal-world agentic AI applications in healthcare + include autonomous diagnostic agents, intelligent patient monitoring systems, + AI-powered surgical assistants, and multi-agent care coordination platforms + that operate independently to improve clinical outcomes and operational efficiency.\\n\\nHealthcare + organizations across the globe are implementing innovative agentic AI solutions + that demonstrate the transformative potential of autonomous medical intelligence. + These applications range from [AI symptom diagnosis] to complex surgical assistance, + showcasing the versatility of agentic systems in medical settings.\\n\\n_Key + AI agent applications in healthcare, from real-time diagnosis to surgical + assistance._\\n\\n### Autonomous Diagnostic and Clinical Decision Support\\n\\nAI + agents now independently analyze medical imaging, laboratory results, and + patient histories to provide differential diagnoses and treatment recommendations. + These systems can process vast amounts of clinical data in real-time, identifying + patterns and anomalies that might be missed by human clinicians. [AI in radiology] + has shown particularly impressive results, with autonomous agents achieving + diagnostic accuracy rates comparable to experienced radiologists.\\n\\n### + Intelligent Patient Monitoring and Care Management\\n\\n- **Continuous Vital + Sign Analysis:** AI agents monitor patient data streams and automatically + alert medical staff to critical changes\\n- **Medication Management:** Autonomous + systems track drug interactions, dosage optimization, and adherence monitoring\\n- + **Post-Operative Care:** Specialized agents monitor recovery progress and + adjust care\"},{\"id\":\"https://kodexolabs.com/future-of-ai-agents/\",\"title\":\"How + the Future of AI Agents Will Power Businesses and Industries\",\"url\":\"https://kodexolabs.com/future-of-ai-agents/\",\"publishedDate\":\"2025-10-21T00:00:00.000Z\",\"author\":\"\",\"text\":\"Future + of AI Agents 2025 | How they will Transform Businesses[Skip to content] \\n[![]] + \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### Generative + AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT Dev & + Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] ### + Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI Development] + \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model Development] + \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] \\n* [ML + Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] \\n### + Software Development\\n* [Software Development Services] \\n* [Custom Product + Development] \\n* [Software Consulting] \\n* [Mobile App Development] \\n* + [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* [Data + Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# How the Future + of AI Agents Will Power Businesses and Industries\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nOctober 21, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nOctober 21, + 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. [Why AI Agents Are + Transforming Business Operations] \\n3. [What is the Future of AI Agents and + Agentic AI?] \\n* [What Are AI Agents and How Do They Work?] \\n* * [The Evolution + Toward Agentic AI] \\n* * [Why 2025 Marks a Pivotal Year for AI Agents] \\n* + [How AI Agents Are Reshaping the Future of Work] \\n* [Transforming Traditional + Business Operations] \\n* * [How AI Agents Will Power Businesses in the Future] + \\n* * [Employee Empowerment vs. Job Displacement] \\n* [How Do Vertical AI + Agents Improve Efficiency in Specific Industries?] \\n* [AI Agents in Finance + Industry] \\n* * [Healthcare and Clinical Applications] \\n* * [Manufacturing + and Production] \\n* * [Retail and E-commerce] \\n* [How Do Vertical AI Agents + Improve Productivity in Specific Industries?] \\n* [Workflow Automation and + Optimization] \\n* * [Supply Chain Management Acceleration] \\n* * [Continuous + Learning and Performance Improvement] \\n* * [Implementation Success Factors] + \\n* [Advanced AI Agent Capabilities and Multi-Agent Systems] \\n* [Generative + AI Agents and Their Business Applications] \\n* * [Multi-Agent Systems and + Collaborative Intelligence] \\n* * [Advanced Reasoning and Decision-Making + Capabilities] \\n* * [Autonomous Systems Integration] \\n* [Enterprise Integration, + Security, and Compliance] \\n* [Enterprise-Grade Security and Data Privacy] + \\n* * [Compliance and Regulatory Considerations] \\n* * [Google Cloud and + Agentspace Integration] \\n* * [Enterprise Systems Integration] \\n* [Exceptional + Customer Experiences Through AI Agents] \\n* [Transforming Customer Service + and Support] \\n* * [Understanding and Leveraging Customer Insights] \\n* + * [Meeting Evolving Customer Expectations] \\n* * [Advanced Customer Relationship + Features] \\n* [Supply Chain and Logistics Revolution] \\n* [Supply Chain + Optimization and Intelligence] \\n* * [Advanced Inventory Management Solutions] + \\n* * [Logistics and Distribution Enhancement] \\n* * [Supply Chain Resilience + and Adaptability] \\n* [Geographic Trends and Regional AI Agent Adoption] + \\n* [Factors Influencing Regional Differences] \\n* * [Comparison of Regional + Trends] \\n* * [Market Opportunities by Region] \\n* [Overcoming Implementation + Challenges and Risks] \\n* [Technical Integration Challenges] \\n* * [Organizational + Change Management] \\n* * [Risk Mitigation and Governance] \\n* * [Success + Metrics and ROI Measurement] \\n* [Investment and ROI Considerations for AI + Agents] \\n* [Investment Requirements and Cost Structure] \\n* * [ROI Calculation + and Value Realization] \\n* * [Budgeting and Financial Planning] \\n* [At + a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What is the + future of agentic AI in business operations?] \\n* * [How will AI agents drive + industry innovation in the next five years?] \\n* * [What security measures + are essential for enterprise AI agent deployment?] \\n* * [How do multi-agent + systems improve business efficiency?] \\n* * [What industries will see the + greatest impact from vertical AI agents?] \\n* [Conclusion: Embracing the + AI Agent Revolution] \\n* [Related Blogs] \\n## Share This Article\\n![Illustration + showing how AI agents are transforming business operations and the future + of work with agentic AI by 2025.] ## Why AI Agents Are Transforming Business + Operations\\nAre businesses ready for autonomous systems that can think, decide, + and act independently to achieve complex goals? Gartner predicts that[33% + of enterprise software applications] will include agentic AI by 2028, marking + a fundamental shift toward[intelligent business automation]. The future of + AI agents promises to revolutionize how industries operate, from autonomous + customer service to sophisticated[supply chain management].\\nThis comprehensive + guide explores how the future of AI agents will revolutionize business operations + and industry workflows, offering strategic insights for leaders, developers, + and stakeholders navigating the agentic AI transformation.\\n## What is the + Future of AI Agents and Agentic AI?\\n[AI agents] represent autonomous systems + that can perceive, reason, and act independently to achieve specific goals, + with agentic AI marking the evolution toward more sophisticated, self-directed[artificial + intelligence] capable of complex decision-making.\\nThe future of[agentic + AI] extends far beyond simple chatbots or automated responses. These intelligent + systems combine[machine learning], deep learning, and advanced reasoning capabilities + to create autonomous business partners that can handle complex workflows without + constant human supervision.\\n### What Are AI Agents and How Do They Work?\\nAI + agents are autonomous software systems designed to perceive their environment, + process information, make decisions, and take actions to achieve specific + objectives. Unlike traditional AI systems that respond to direct commands, + these agents operate independently within defined parameters.\\nThe core architecture + includes three essential components: perception systems that gather and\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/10/AI-Agents-for-Businesses.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"},{\"id\":\"https://kodexolabs.com/ai-agents-content-generation-guide/\",\"title\":\"AI + Agents for Content Generation \u2013 Ultimate Guide 2025\",\"url\":\"https://kodexolabs.com/ai-agents-content-generation-guide/\",\"publishedDate\":\"2025-08-29T00:00:00.000Z\",\"author\":\"\",\"text\":\"AI + Agents for Content Creation 2025 \u2013The Complete Guide[Skip to content] + \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI Chatbot] \\n### + Generative AI\\n* [Gen AI Development] \\n* [Gen AI Integration] \\n* [ChatGPT + Dev & Integration] \\n* [Gen AI Model Development] \\n* [Gen AI Consulting] + ### Product Designing\\n* [Product Designing] \\n### AI Development\\n* [AI + Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI Model + Development] \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] + \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] + \\n### Software Development\\n* [Software Development Services] \\n* [Custom + Product Development] \\n* [Software Consulting] \\n* [Mobile App Development] + \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* + [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A + Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and + Automated Software Production[### Marketing\\n] Customer Churn Prediction, + Customer Segmentation and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A + Free AI Chatbot] \\n[### IT Staff Augmentation\\n] On-demand Talent, Scalable + Teams, Flexible Hiring[### Hire Software Developer\\n] Custom Software, Full-stack, + Agile Development[### Software Development Outsourcing\\n] End-to-End, Project-based, + Flexible Engagement\\n[### Hire AI Developer\\n] AI Solutions, Machine Learning, + Custom Models[### Hire Offshore Developer\\n] Remote Teams, Cost-efficient, + Dedicated Experts\\n[### Hire Data Engineer\\n] Data Pipelines, ETL, Big Data + Solutions[### Dedicated Development Team\\n] Tailored Solutions, Seamless + Collaboration, Scalability\\n[Our Work] \\n[Solutions] \\n![]![] [Get A Free + AI Chatbot] \\n### Custom Enterprise Solutions\\n* [Enterprise Resource Planning + (ERP)] \\n* [Human Resource Management Solutions] \\n* [Asset Management Software + Solutions] \\n* [Supply Chain Management Solutions] \\n* [Business Process + Automation Software] \\n* [Fleet Management Software] \\n### Healthcare Software + Solutions\\n* [AI-Powered Medical Imaging & Diagnostics] \\n* [Custom Medical + Practice Management Software] \\n[Company] \\n![]![] [Get A Free AI Chatbot] + \\n[### Careers\\n] Advance your career in AI and software[### Blogs\\n] Official + Blogs for News, Tech & Culture\\n[### Awards & Achievements\\n] Honored for + excellence in AI innovations\\n[Contact Us] \\n[![]] \\n[] \\n# AI Agents + for Content Generation \u2013Ultimate Guide 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nAugust 29, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nAugust 29, + 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. [Introduction] \\n3. + [What are AI Agents for Content Creation?] \\n* [Understanding AI Content + Agents vs Traditional Tools] \\n* * [Core Components of Content Creation AI + Agents] \\n* * [Types of AI Agents for Content Generation] \\n* [How AI Agents + Transform Content Marketing Workflows] \\n* [Automated Content Pipeline Management] + \\n* * [Content Workflow Optimization Benefits] \\n* * [Integration with Existing + Content Systems] \\n* [Technical Architecture of AI Content Agents] \\n* [Memory + Management & State Architecture] \\n* * [Orchestration Tools and Agent + Coordination] \\n* * [Hierarchical Planning and Decision Making] \\n* * [Model + Context Protocol Implementation] \\n* [Best AI Agents for Content Generation + in 2025] \\n* [Enterprise-Grade AI Agent Platforms] \\n* * [Specialized Content + Creation Tools] \\n* * [Platform Comparison and Selection Criteria] \\n* * + [Implementation Considerations] \\n* [Step-by-Step Guide to AI Agents for + Content Creation] \\n* [Phase 1: Strategic Planning and Assessment] \\n* * + [Phase 2: Platform Selection and Setup] \\n* * [Phase 3: Prompt Engineering + and Training] \\n* * [Phase 4: Integration and Testing] \\n* * [Phase 5: Optimization + and Scaling] \\n* [Business Applications and Industry Use Cases] \\n* [Customer + Support Content Automation] \\n* * [Social Media and Marketing Applications] + \\n* * [Enterprise Knowledge Management] \\n* * [Industry-Specific Implementations] + \\n* [Future of Content Generation with AI Agents 2025] \\n* [Emerging Trends + in Agentic AI] \\n* * [Industry Transformation Patterns] \\n* * [Technological + Advancement Predictions] \\n* * [Strategic Implications for Businesses] \\n* + [Content Optimization and SEO with AI Agents] \\n* [Search Engine Optimization + Automation] \\n* * [Performance Analysis and Optimization] \\n* * [Adapting + to Google's Algorithm Updates] \\n* * [Automated Revenue Generation] + \\n* [Implementation Challenges and Solutions] \\n* [Technical Implementation + Challenges] \\n* * [Content Quality and Compliance Issues] \\n* * [Solutions + and Best Practices] \\n* * [Change Management Considerations] \\n* [Geographic + Trends and Regional Variations] \\n* [Factors Influencing Regional Differences] + \\n* * [Comparison of Regional Trends] \\n* [At a Glance: Key Takeaways] \\n* + [Frequently Asked Questions] \\n* [What are the best AI agents for content + generation in 2025?] \\n* * [How do AI agents help in content generation workflows?] + \\n* * [How AI agents transform content marketing strategies?] \\n* * [What + is the future of content generation with AI agents?] \\n* * [How to implement + AI agents for content creation successfully?] \\n* [Conclusion] \\n* [Related + Blogs] \\n## Share This Article\\n![AI agents for content creation automating + writing, research and content optimization in 2025.] ## Introduction\\nDid + you know that[73% of businesses] plan to implement AI agents for content creation + by 2025? AI agents for content generation are revolutionizing how companies + produce, optimize, and distribute content across digital channels. This comprehensive + guide explores cutting-edge AI agent technologies, implementation strategies, + and future trends transforming content marketing landscapes.\\nThis blog explores[AI + Agents] for Content Generation \u2013Ultimate Guide 2025, offering insights + for businesses, developers, and marketers seeking advanced content automation + solutions.\\n## What are AI Agents for Content Creation?\\nAI agents for content + creation are autonomous systems powered by[large language models] that independently + research, plan, write, and optimize content across multiple formats and platforms.\\nAI + agents represent a significant evolution beyond traditional content tools. + These intelligent systems use[machine learning] and natural language processing + to understand context, make decisions, and execute content strategies autonomously. + Unlike simple generators, AI agents can adapt their approach based on performance + data and changing requirements.\\n### Understanding AI Content Agents vs Traditional + Tools\\nTraditional content tools require constant human input and oversight. + AI content agents operate independently, making strategic decisions about + content direction, keyword optimization, and audience targeting. These systems + learn from past performance to improve future output quality.\\nThe key difference + lies in autonomy. While traditional tools execute commands, AI agents analyze + situations, set goals, and develop execution plans. This fundamental shift + enables businesses to scale content production without proportional increases + in human resources.\\n### Core Components of Content Creation AI Agents\\nModern + AI agents integrate multiple technologies to deliver comprehensive content + solutions.[Natural language processing] enables understanding of context and + intent. Machine learning algorithms continuously improve performance based + on feedback and results.\\n* **Large Language Models:**Power natural language + understanding and generation capabilities\\n* **Knowledge Base Integration:**Access + real-time information and domain-specific data\\n* **Decision Trees:**Enable + autonomous content strategy decisions\\n* **Performance Analytics:**Track + and\",\"image\":\"https://kodexolabs.com/wp-content/uploads/2025/08/AI-Agents-for-Content-Generation.webp\",\"favicon\":\"https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\"}],\"searchTime\":781.1,\"costDollars\":{\"total\":0.015,\"search\":{\"neural\":0.005},\"contents\":{\"text\":0.01}}}" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json; charset=utf-8 + Date: + - Wed, 11 Feb 2026 01:03:42 GMT + Nel: + - '{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}' + Report-To: + - '{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=YhPnvY4Frcg0RvGKXhq7uJ%2BSh%2B4CpMY044Vhw5lEZwLpW7gL04esqXWbzNRE%2Bl%2F8ysExD4bQF0nsy38AukWpLWGEfLnIoYlTMQ%3D%3D"}]}' + Server: + - cloudflare + Transfer-Encoding: + - chunked + access-control-allow-credentials: + - 'true' + cf-cache-status: + - DYNAMIC + content-security-policy: + - CSP-FILTERED + cross-origin-opener-policy: + - same-origin + cross-origin-resource-policy: + - same-origin + etag: + - ETAG-XXX + origin-agent-cluster: + - ?1 + referrer-policy: + - REFERRER-POLICY-XXX + strict-transport-security: + - STS-XXX + vary: + - Origin + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-dns-prefetch-control: + - 'off' + x-download-options: + - noopen + x-frame-options: + - X-FRAME-OPTIONS-XXX + x-permitted-cross-domain-policies: + - X-PERMITTED-XXX + x-ratelimit-limit: + - '450' + x-ratelimit-remaining: + - '443' + x-ratelimit-reset: + - '1770771823' + x-xss-protection: + - X-XSS-PROTECTION-XXX + status: + code: 200 + message: OK +- request: + body: "{\"messages\":[{\"role\":\"system\",\"content\":\"You are Research Analyst. + You are a research analyst who searches the web for information, identifies + key findings, and produces structured research summaries.\\n\\nYour goal: Research + topics using search tools and produce structured summaries\\n\\nYou are executing + a specific step in a multi-step plan. Focus ONLY on completing\\nthe current + step. Do not plan ahead or worry about future steps.\\n\\nBefore acting, briefly + reason about what you need to do and which approach\\nor tool would be most + helpful for this specific step.\"},{\"role\":\"user\",\"content\":\"## Current + Step\\nSummarize the key findings from the research, focusing on the implementation + of autonomous AI agents in 2025, their learning capabilities, tool integration, + and the emerging governance and ethical concerns associated with them.\\n\\n## + Context from previous steps:\\nStep 1 result: Here is a summary of recent developments + in autonomous AI agents in 2025:\\n\\n### Summary of Developments in Autonomous + AI Agents (2025)\\n\\n1. **Launch of AI Agents**: 2025 was a pivotal year for + AI agents, as they moved from the research stage to practical implementation + across various industries. The term \\\"AI agent\\\" was redefined to include + systems capable of using software tools autonomously, not just generating text + (Source: *The Conversation*, December 29, 2025).\\n\\n2. **Technological Milestones**:\\n + \ - Late 2024 saw the release of Anthropic's Model Context Protocol, enabling + better tool integration for AI agents.\\n - Major models like Chinese OpenAI's + DeepSeek-R1 disrupted the market by introducing open-weight models.\\n - Google + launched the Agent2Agent protocol, facilitating communication between multiple + AI agents (Source: *The Conversation*, December 29, 2025).\\n\\n3. **Emergence + of New Tools**: By mid-2025, several \\\"agentic browsers\\\" were introduced, + fundamentally changing how users interact with technology, enabling agents to + perform tasks like booking vacations directly (Source: *The Conversation*, December + 29, 2025).\\n\\n4. **Risks and Ethical Concerns**: As AI agents became more + integrated into workflows, concerns about their misuse, such as automating malicious + activities, were raised. Instances of AI agents being used in cyberattacks highlighted + the need for robust oversight (Source: *The Conversation*, December 29, 2025).\\n\\n5. + **Market Growth**: The market for autonomous AI agents is projected to grow + significantly, with estimates reaching up to $9.9 billion in 2025 and continuing + to expand due to elevated enterprise adoption (Source: *Kodexolabs*, July 31, + 2025).\\n\\n6. **Autonomous Agent Characteristics**: These agents are characterized + by their ability to learn from environments, make decisions without human intervention, + and handle complex workflows efficiently (Source: *Kodexolabs*, July 31, 2025).\\n\\n7. + **Integration of Features**: The technology behind these agents now includes + seamless natural language processing capabilities, predictive analytics, automated + compliance and security features, and improved user experience interfaces (Source: + *Rolustech*, September 23, 2025).\\n\\n8. **Governance and Standards**: The + Linux Foundation announced the establishment of the Agentic AI Foundation to + set standards guiding the development and use of AI agents, aiming to enhance + collaboration and security (Source: *The Conversation*, December 29, 2025).\\n\\n9. + **Future Perspectives**: Looking ahead, key areas of focus will include improving + the benchmarks for AI agents, governance structures, and a continual assessment + of the socio-technical implications of increased automation (Source: *The Conversation*, + December 29, 2025).\\n\\nThese findings underscore a significant transformation + in how AI agents are poised to reshape industries while also presenting new + challenges in governance and ethics. For more details, you can refer to the + individual sources mentioned.\\n\\nComplete this step and provide your result.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_b0qr12OFo1uPpJ8tzRDE5UsE\",\"type\":\"function\",\"function\":{\"name\":\"exa_search_tool\",\"arguments\":\"{\\\"search_query\\\": + \\\"2025 autonomous AI agents learning capabilities\\\", \\\"start_published_date\\\": + \\\"2025-01-01\\\", \\\"end_published_date\\\": \\\"2025-12-31\\\", \\\"include_domains\\\": + [\\\"theconversation.com\\\", \\\"kodexolabs.com\\\", \\\"rolustech.com\\\"]}\"}},{\"id\":\"call_nHKAg1q7PEYpD2Ch4bW78oqV\",\"type\":\"function\",\"function\":{\"name\":\"exa_search_tool\",\"arguments\":\"{\\\"search_query\\\": + \\\"2025 autonomous AI agents tool integration\\\", \\\"start_published_date\\\": + \\\"2025-01-01\\\", \\\"end_published_date\\\": \\\"2025-12-31\\\", \\\"include_domains\\\": + [\\\"theconversation.com\\\", \\\"kodexolabs.com\\\", \\\"rolustech.com\\\"]}\"}},{\"id\":\"call_U18ICQiGN1LaBxLMacpzZJJL\",\"type\":\"function\",\"function\":{\"name\":\"exa_search_tool\",\"arguments\":\"{\\\"search_query\\\": + \\\"2025 autonomous AI agents governance ethical concerns\\\", \\\"start_published_date\\\": + \\\"2025-01-01\\\", \\\"end_published_date\\\": \\\"2025-12-31\\\", \\\"include_domains\\\": + [\\\"theconversation.com\\\", \\\"kodexolabs.com\\\", \\\"rolustech.com\\\"]}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_b0qr12OFo1uPpJ8tzRDE5UsE\",\"name\":\"exa_search_tool\",\"content\":\"Title: + What are Autonomous AI Agents? A Complete Guide 2025\\nURL: https://kodexolabs.com/what-are-autonomous-ai-agents/\\nID: + https://kodexolabs.com/what-are-autonomous-ai-agents/\\nScore: None\\nPublished + Date: 2025-07-31T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/07/What-Are-Autonomous-AI-Agents-A-Complete-Guide-for-2025.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: What are Autonomous AI Agents? A Complete Guide + 2025[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# What Are Autonomous AI Agents? A Complete Guide for + 2025 and Beyond\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Introduction] \\n3. [What Are Autonomous AI Agents? Understanding + the Fundamentals] \\n* [What Makes an AI Agent Autonomous?] \\n* * [Autonomous + Agents vs Traditional AI Systems] \\n* * [Key Characteristics of Modern Autonomous + Agents] \\n* [How Do Autonomous AI Agents Work? Technical Architecture Explained] + \\n* [Core Components of Autonomous AI Systems] \\n* * [Types of Autonomous + Agents by Intelligence Level] \\n* * [Machine Learning Integration in Agent + Architecture] \\n* [Autonomous AI Agents 2025: Latest Developments and Technical + Advancements] \\n* [Recent Developments in Autonomous AI Agents 2025] \\n* * + [Top Technical Advancements Shaping 2025] \\n* * [Fully Autonomous AI Agents: + What's Now Possible in 2025] \\n* [Best Autonomous AI Agents Examples and + Real-World Applications] \\n* [Top Consumer Autonomous AI Agents] \\n* * [Enterprise + and Business Applications] \\n* * [Emerging Application Areas in 2025] \\n* + * [Performance Metrics and Success Stories] \\n* [The Role of Autonomous AI + Agents in Business and Industry Impact] \\n* [How Autonomous AI Agents Will + Impact Industries in 2025] \\n* * [Salesforce Autonomous Agents and CRM Integration] + \\n* * [Autonomous Agents Market Growth and Opportunities] \\n* * [Customer + Service Revolution Through AI Agents] \\n* [How to Build Autonomous AI Agents: + Development and Implementation Guide] \\n* [Essential Steps for Building Autonomous + AI Agents] \\n* * [Best Use Cases for Autonomous AI Agents] \\n* * [AI Agent + Automation for Startups in 2025] \\n* * [Integration with External Tools and + Systems] \\n* * [Development Challenges and Solutions] \\n* [Autonomous AI Agents + vs Traditional Systems: A Comprehensive Comparison] \\n* [Comparison of Autonomous + AI Agents 2025 vs Previous Generations] \\n* * [Most Advanced Autonomous AI + Agents 2025: Market Leaders] \\n* * [Human Workers vs Autonomous AI Agents: + Collaborative Future] \\n* * [Evolution from Reactive to Autonomous Systems] + \\n* [Future of Autonomous AI Agents: Trends and Predictions for 2025 and Beyond] + \\n* [How Autonomous AI Agents Are Shaping the Future] \\n* * [Top Trends in + Autonomous AI Agents 2025] \\n* * [What to Expect from Autonomous AI Agents + in the Future] \\n* * [Autonomous AI Agents in 2025 and Beyond: Technology Roadmap] + \\n* * [Challenges and Opportunities Ahead] \\n* [Geographic Trends and Regional + Variations in Autonomous AI Agent Adoption] \\n* [Factors Influencing Regional + Differences] \\n* * [Comparison of Regional Trends] \\n* * [Regional Market + Opportunities] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What are autonomous AI agents and how do they differ from regular AI?] + \\n* * [How can autonomous AI agents be used in business in 2025?] \\n* * [What + makes an AI agent truly autonomous?] \\n* * [What are the best examples of autonomous + AI agents available today?] \\n* * [How do I build autonomous AI agents for + my startup?] \\n* [Conclusion:] \\n* [Related Blogs] \\n## Share This Article\\n![Illustration + of an autonomous AI agent symbolizing the advancements and potential of AI agents + in 2025.] ## Introduction\\nAccording to recent research, the global autonomous + AI agents market is projected to reach[$9.9 billion in 2025] and is anticipated + to grow significantly to[$253.3 billion by 2034], registering a strong CAGR + of43.4%during the forecast period. This explosive growth is driven by rapid + enterprise adoption, continuous advancements in artificial intelligence, and + the expansion of automation across diverse industries. North America is expected + to command the largest market share in 2025, holding about 40.7% of the global + market.\\nThis comprehensive guide explores autonomous AI agents’ fundamentals, + applications, and 2025 developments, providing essential insights for businesses, + developers, and decision-makers navigating AI transformation.\\n## What Are + Autonomous AI Agents? Understanding the Fundamentals\\nAutonomous AI agents + are self-governing systems that operate independently without constant human + intervention, making decisions and taking actions to achieve specific goals + using machine learning and environmental awareness.\\n[Autonomous AI agents] + represent a significant leap forward from traditional AI systems. Unlike conventional + artificial intelligence that requires explicit programming for every scenario, + autonomous agents possess the capability to learn, adapt, and make independent + decisions based on their environment and objectives. These systems combine[machine + learning], natural language processing, and real-time data analysis to create + intelligent entities that can operate with minimal human oversight.\\n**For + example:**Learners today can[learn French with Langua’s AI platform], + which uses these same principles to personalize instruction, track progress, + and respond dynamically to the user\u2019s input mirroring how autonomous agents + behave in complex business environments.\\nThe key distinction lies in their + autonomy \u2013the ability to perceive their environment, process information, + make decisions, and execute actions without waiting for human commands. This + independence makes them particularly valuable for businesses seeking to automate + complex processes, improve operational efficiency, and provide consistent service + delivery around the clock.\\n#####\\nSummary: None\\n\\n\\nTitle: AI Agent in + 2025: How Autonomous Agents Redefine Workflows\\nURL: https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\\nID: + https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\\nScore: + None\\nPublished Date: 2025-09-23T00:00:00.000Z\\nAuthor: Amer Wilson\\nImage: + https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-26.png\\nFavicon: + https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\\nExtras: + None\\nSubpages: None\\nText: AI Agent in 2025: How Autonomous Agents Redefine + Workflows\\n[] \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration + Solutions] \\n* [Salesforce Integration Services] \\n* [Database Migration Services] + \\n* [Implementation Services] \\n* [Comprehensive Training Services] \\n* [Support + & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] \\n* + [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization and + Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting + Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry + Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration + Solutions] \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] + \\n* [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] + \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n**\\nContact us\\n[] + [] \\n# AI Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* + [Your Partner in CRM, Custom Software & AI Solutions] \\n* [Blog] \\n* AI + Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* **September + 23, 2025\\n* **By[Amer Wilson] \\n* **[Blog] \\n## The Future of Smarter Workflows\\nThe + year 2025 is a defining moment for[AI agents]. They\u2019ve moved far beyond + experimental use.\\nToday, AI-powered agents handle critical business tasks, + manage data, and automate complex workflows. What was once a futuristic idea + is now a practical reality. Autonomous AI agents are revolutionizing the way + businesses operate.\\nThese tools offer speed, accuracy, and scalability. Companies + adopting AI workflow automation are setting new standards for efficiency.\\nLet\u2019s + dive into why AI agent use cases are becoming central to modern business operations.\\n## + Why Businesses Can\u2019t Ignore AI Agents Anymore\\nThe simple answer: efficiency. + AI agents streamline repetitive tasks that consume time and resources.\\nMistakes + in manual processes can be costly. AI-powered agents complete tasks with consistent + accuracy. Scalability is another driver. Humans can multitask, but autonomous + AI agents handle hundreds of tasks simultaneously.\\nThis power enables rapid + growth, particularly in industries such as healthcare,[finance], and e-commerce.\\nMore + importantly, automation frees employees from routine work. With AI workflow + automation, they focus on creativity and strategy.\\nThe benefits are clear: + better results, reduced costs, and faster operations. Businesses can\u2019t + afford to ignore them.\\n## AI Agents Explained: What They Really Do in 2025\\nSo, + what exactly is an AI agent? At its core, it\u2019s a digital decision-maker.\\nUnlike + traditional bots, autonomous AI agents don\u2019t just follow commands. They + learn, adapt, and improve. They integrate with systems like[CRM] s, ERPs, and + analytics platforms. This makes AI workflow automation seamless.\\nFor instance, + a customer service AI agent can analyze past cases and resolve issues faster.\\nIn + finance, AI-powered agents detect fraud by spotting unusual transaction patterns + in real-time.\\nSome popular AI agent use cases include HR onboarding, lead + qualification, inventory monitoring, and IT helpdesk support.\\nWherever there\u2019s + repetitive, data-heavy work, autonomous AI agents are stepping in.\\n## What\u2019s + New with Autonomous AI Agents in 2025\\nSeveral advancements are expected to + enhance the capabilities of AI agents in 2025.\\nFirst, natural language capabilities + have evolved. Teams interact with AI-powered agents using plain English commands.\\nSecond, + cross-platform integration is seamless. Autonomous AI agents seamlessly integrate + CRMs, ERPs, and communication apps. For example, an AI agent can fetch customer + data, update invoices, and send email alerts instantly.\\nThird, compliance + and security features have matured. Companies trust the best AI agent tools + with sensitive data.\\nFourth, predictive insights are now standard. AI agents + forecast outcomes and suggest smarter actions.\\nFinally, the user experience + has improved dramatically. Drag-and-drop builders simplify the design of AI + workflow automation.\\nTogether, these innovations make autonomous AI agents + indispensable\\nSummary: None\\n\\n\\nTitle: Build an AI Agent in 2025 | Cost, + Benefits & Real Use Cases\\nURL: https://kodexolabs.com/how-to-build-an-ai-agent/\\nID: + https://kodexolabs.com/how-to-build-an-ai-agent/\\nScore: None\\nPublished Date: + 2025-08-05T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/08/How-to-Build-an-AI-Agent-in-2025-Cost-Benefits-and-Real-World-Examples.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Build an AI Agent in 2025 | Cost, Benefits & + Real Use Cases[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] + [Get A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen + AI Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# How to Build an AI Agent in 2025: Cost, Benefits & + Real-World Examples\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nAugust 5, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nAugust 5, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [What You Need to Know About Building AI Agents] \\n3. [What + Is an AI Agent and Why Build One in 2025?] \\n* [What Makes an AI Agent Different + from Traditional AI?] \\n* * [Key Components of Modern AI Agents] \\n* [Step-by-Step + Guide: How to Build an AI Agent] \\n* [Step 1: Requirements Analysis and Planning] + \\n* * [Step 2: Data Collection and Preparation] \\n* * [Step 3: Model Development + and Training] \\n* * [A Practical Guide to Building AI Agents: Implementation + Checklist] \\n* [AI Agent Builder Platforms and Tools in 2025] \\n* [Best AI + Agent Builder Platforms for Different Needs] \\n* * [Custom AI Agent Builder + vs. Platform Solutions] \\n* * [Key Features to Evaluate in AI Agents Builder + Platforms] \\n* [Cost Analysis: How Much Does It Cost to Build an AI Agent?] + \\n* [How Much Does It Cost to Build an AI Agent: Detailed Breakdown] \\n* * + [AI Agent Development Costs by Complexity Level] \\n* * [How Do AI Agents Contribute + to Cost Reduction in Businesses?] \\n* [Benefits of Agentic AI: Transforming + Business Operations] \\n* [Core Benefits of Using AI Agents] \\n* * [Benefits + of Agents in AI-Driven Industries] \\n* * [Measurable Business Impact] \\n* + [Real-World Examples of AI Agents Across Industries] \\n* [What Is an Agentic + AI Example in Customer Service?] \\n* * [Examples of AI Agents in Healthcare + and Medical Applications] \\n* * [Transportation and Smart City Examples] \\n* + * [Industrial and Manufacturing Applications] \\n* [What Industries Are Benefiting + Most from Agentic AI?] \\n* [What Industries Are Currently Benefiting from Agentic + AI?] \\n* * [Manufacturing and Industrial Applications] \\n* * [Emerging Industry + Applications] \\n* * [What Industries Are Seeing the Most Benefits from AI Agents?] + \\n* [Future Trends and Evolution of AI Agents] \\n* [Next-Generation AI Agent + Capabilities] \\n* * [Connected Ecosystem Integration] \\n* * [Industry-Specific + Future Applications] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked + Questions] \\n* [What is an AI agent example?] \\n* * [How much does an AI agent + cost?] \\n* * [How to build a AI agent?] \\n* * [What industries are benefiting + the most from agentic AI?] \\n* * [What are examples of agentic AI?] \\n* * + [How do AI agents contribute to cost reduction in businesses?] \\n* [Conclusion:] + \\n* [Related Blogs] \\n## Share This Article\\n![A glowing 3D AI agent robot + hovering on a digital platform, representing futuristic AI agent builders, no-code + AI tools and autonomous decision-making in 2025.] ## What You Need to Know About + Building AI Agents\\nDid you know that[70% of businesses plan to implement AI + agents by 2025] to automate complex workflows and enhance customer experiences? + Building an AI agent has evolved from a technical luxury to a business necessity, + with organizations leveraging agentic AI to streamline operations and drive + innovation. This comprehensive guide explores how to build an AI agent in 2025, + covering essential costs, transformative benefits, and real-world examples across + industries.\\n[AI agents] represent the next evolution in business automation, + offering autonomous decision-making capabilities that transform how organizations + operate. Unlike traditional AI systems that simply respond to inputs, AI agents + perceive their environment, analyze data, make decisions, and execute actions + independently. The growing demand for intelligent automation has made[AI development] + a strategic priority for businesses seeking competitive advantages in 2025.\\nModern + AI agents combine Machine Learning algorithms with Natural Language Processing + to create sophisticated systems capable of handling complex business processes. + From customer service automation to predictive maintenance in manufacturing, + these intelligent systems deliver measurable improvements in efficiency, accuracy, + and cost reduction. Organizations implementing AI agents report 25-40% operational + savings and[50-70% faster task completion rates].\\nThis comprehensive guide + addresses the critical questions businesses face when considering AI agent development: + implementation strategies, cost structures, measurable benefits, and proven + real-world applications across industries. Whether you’re exploring no-code + solutions or custom development approaches, understanding these fundamentals + ensures successful AI agent deployment that drives meaningful business results.\\n## + What Is an AI Agent and Why Build One in 2025?\\nAn AI agent is an autonomous + system that perceives its environment, makes decisions, and takes actions to + achieve specific goals, becoming essential for business automation and intelligent + task execution in 2025.\\nAI agents differ fundamentally from traditional automation + tools through their ability to learn, adapt, and make independent decisions + based on changing conditions. These systems combine artificial intelligence + technologies with real-time data processing to create intelligent solutions + that continuously improve performance without human intervention. In 2025, businesses + are prioritizing AI agent development as a strategic investment in operational + efficiency and competitive positioning.\\n##### Stay Updated\u2014Join Our Newsletter!\\n###### + Newsletter\\nDon\u2019t miss on the latest updates in the world of AI. We dispatch + custom reports and newsletters every week, with forecasts on trends to come. + Join our community now!\\n### What Makes an AI Agent Different from Traditional + AI?\\nTraditional AI systems require specific\\nSummary: None\\n\\n\\nTitle: + Agentic RAG: Enhancing Retrieval-Augmented Generation with AI Agents\\nURL: + https://kodexolabs.com/agentic-rag-with-ai-agents/\\nID: https://kodexolabs.com/agentic-rag-with-ai-agents/\\nScore: + None\\nPublished Date: 2025-09-22T00:00:00.000Z\\nAuthor: \\nImage: https://kodexolabs.com/wp-content/uploads/2025/09/Enhancing-RAG-with-AI-Agents.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Agentic RAG: AI Agents Improve Retrieval-Augmented + Generation[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] + [Get A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen + AI Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# Agentic RAG: Enhancing Retrieval-Augmented Generation + with AI Agents\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nSeptember 22, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nSeptember 22, 2025\\nTable Of Contents\\n1. + [Share This Article] \\n2. [The Future of Intelligent Information Retrieval] + \\n3. [What is Agentic RAG in AI? Understanding Core Concepts] \\n* [Defining + Agentic Retrieval-Augmented Generation] \\n* * [Key Components of Agentic RAG + Architecture] \\n* [How Agentic RAG Improves Retrieval-Augmented Generation + Performance] \\n* [Intelligent Query Formulation and Refinement] \\n* * [Performance + Metrics and Benchmarks] \\n* [AI Agent-Powered RAG Frameworks: Technical Implementation] + \\n* [System Architecture Components] \\n* * [Implementation Steps and Best + Practices] \\n* [Enterprise Integration: Can Agentic RAG Work with Existing + AI Systems?] \\n* [Enterprise Data Source Compatibility] \\n* * [Implementation + Timeline and Considerations] \\n* [Industry Applications: Transforming Sectors + with Agentic RAG] \\n* [Healthcare and Medical Research Applications] \\n* * + [Legal and Compliance Applications] \\n* [Advanced Multi-Agent Collaboration + in RAG Systems] \\n* [Specialized Agent Architectures] \\n* * [Coordination + Mechanisms and Communication Protocols] \\n* [User Experience and Business Value + Optimization] \\n* [Performance Optimization Strategies] \\n* * [Data Privacy + and Security Implementation] \\n* [Technology Stack: From Vector Stores to Large + Language Models] \\n* [Essential Development Frameworks and Tools] \\n* * [Vector + Database Selection and Optimization] \\n* [Future Trends and Emerging Applications] + \\n* [Next-Generation Capabilities and Features] \\n* * [Market Trends and Investment + Patterns] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What is the difference between traditional RAG and agentic RAG?] \\n* + * [How can agentic RAG improve accuracy in enterprise applications?] \\n* * + [Can agentic RAG integrate with existing customer support systems?] \\n* * [What + programming languages and tools are needed for agentic RAG implementation?] + \\n* * [How does multi-agent collaboration work in RAG systems?] \\n* * [What + are the main benefits of implementing agentic RAG for businesses?] \\n* [Conclusion: + Transforming Information Systems for the Future] \\n* [Related Blogs] \\n## + Share This Article\\n![Illustration of an AI agent enhancing retrieval-augmented + generation (RAG) with autonomous decision-making, representing Agentic AI with + RAG to improve accuracy and performance.] ## The Future of Intelligent Information + Retrieval\\nWhat if AI systems could not just retrieve information but intelligently + reason about what they find? Agentic RAG represents the next evolution in retrieval-augmented + generation, combining AI agents with traditional RAG systems to create more + intelligent, autonomous information processing capabilities. This comprehensive + guide explores how businesses can leverage[agentic AI] with RAG to transform + their knowledge management and[content generation] processes.\\nThis blog explores + Agentic RAG’s revolutionary approach to enhancing retrieval-augmented + generation with[AI agents], offering practical insights for developers, businesses, + and IT professionals seeking advanced[artificial intelligence] solutions.\\n## + What is Agentic RAG in AI? Understanding Core Concepts\\nAgentic RAG combines[autonomous + AI agents] with retrieval-augmented generation to create intelligent systems + that can independently query, analyze, and synthesize information from knowledge + bases, delivering[50% higher accuracy] than traditional RAG approaches.\\nAgentic + RAG represents a paradigm shift in how AI systems process and retrieve information. + Unlike traditional RAG systems that follow predetermined retrieval patterns, + AI agents in agentic RAG make autonomous decisions about when, what, and how + to retrieve information based on contextual understanding.\\n### Defining Agentic + Retrieval-Augmented Generation\\nAgentic RAG integrates autonomous AI agents + into traditional retrieval-augmented generation systems, enabling intelligent + decision-making about information retrieval strategies. According to 2024 AI + Trends Report, agentic systems demonstrate superior performance in complex, + multi-domain knowledge retrieval scenarios where traditional approaches often + fail.\\nThe system architecture incorporates planning modules that analyze user + queries, execution agents that perform retrieval operations, and evaluation + mechanisms that assess result quality. This multi-layered approach enables dynamic + adaptation to user needs and context changes.\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, with + forecasts on trends to come. Join our community now!\\n#### What Makes Agentic + RAG Different?\\nAgentic RAG systems possess autonomous reasoning capabilities + that allow them to modify retrieval strategies mid-process, unlike traditional + RAG systems that follow fixed patterns regardless of context or result quality.\\n### + Key Components of Agentic RAG Architecture\\n* **Planning Agent:**Analyzes user + queries and develops retrieval strategies\\n* **Execution Agent:**Performs actual + information retrieval operations\\n* **Memory System:**Maintains context across + multiple interactions\\n* **Evaluation Module:**Assesses and improves retrieval + quality continuously|Component|Traditional RAG|Agentic RAG|\\nQuery Processing|Static + patterns|Dynamic analysis|\\nRetrieval Strategy|Predetermined|Adaptive|\\nContext + Awareness|Limited|Comprehensive|\\n\\nSummary: None\\n\\n\\nTitle: Top 7 Agentic + AI Use Cases in 2025 With Real-World Examples\\nURL: https://kodexolabs.com/agentic-ai-use-cases/\\nID: + https://kodexolabs.com/agentic-ai-use-cases/\\nScore: None\\nPublished Date: + 2025-08-04T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/08/7-Promising-Agentic-AI-Use-Cases-with-Real-World-Business-Examples-for-2025.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Top 7 Agentic AI Use Cases in 2025 With Real-World + Examples[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# 7 Promising Agentic AI Use Cases with Real-World Business + Examples for 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nAugust 4, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nAugust 4, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Introduction] \\n3. [What Are Agentic AI Use Cases and + Why They Matter in 2025?] \\n* [Understanding Autonomous AI Agents vs Traditional + AI Systems] \\n* * [Core Components of Agentic AI Systems] \\n* * [Market Size + and Growth Projections] \\n* [1- Top Agentic AI Use Cases in Healthcare with + Real-Life Examples] \\n* [Autonomous Medical Imaging and Diagnostics] \\n* * + [Clinical Decision Support Systems] \\n* * [Automated Clinical Trial Management] + \\n* [2- Agentic AI Use Cases in Sales Companies and Performance Optimization] + \\n* [Autonomous Lead Qualification and Scoring] \\n* * [Predictive Sales Forecasting + and Analytics] \\n* * [Personalized Customer Engagement and Recommendations] + \\n* * [Salesforce Agentic AI Use Cases Implementation] \\n* [3- Agentic AI + Use Cases in Customer Service, Supply Chain and Risk Management] \\n* [Customer + Service Automation and Support] \\n* * [Supply Chain Management and Optimization] + \\n* * [Automated Fraud Detection and Risk Management] \\n* [4- Agentic AI Use + Cases in Retail with Real-Life Examples] \\n* [Intelligent Inventory Management + Systems] \\n* * [Personalized Shopping and Recommendation Engines] \\n* * [Dynamic + Pricing and Revenue Optimization] \\n* * [Autonomous Customer Experience Management] + \\n* [5- Agentic AI Use Cases in Manufacturing, Finance, Education and Energy] + \\n* [Manufacturing and Industrial Applications] \\n* * [Financial Services + and Banking] \\n* * [Education and Learning Management] \\n* * [Energy and Utilities + Industry Applications] \\n* [6- Future-Ready Agentic AI Use Cases for Enterprises + Worldwide] \\n* [Autonomous Workflow Orchestration] \\n* * [Multi-Agent System + Collaboration] \\n* * [Adaptive Business Process Optimization] \\n* * [Enterprise + AI Workflows and Integration] \\n* [Geographic Trends and Regional Variations + in Agentic AI Adoption] \\n* [Factors Influencing Regional Differences] \\n* + * [Comparison of Regional Trends] \\n* * [Market Size Variations by Region] + \\n* [7- Agentic AI Use Cases for Decision-Making and Automation] \\n* [Autonomous + Resource Allocation and Management] \\n* * [Real-Time Risk Assessment and Mitigation] + \\n* * [Adaptive Strategy Optimization] \\n* * [Autonomous Business Intelligence + and Analytics] \\n* [Implementation Guide for Agentic AI Systems in Modern Businesses] + \\n* [1. Technical Infrastructure Requirements] \\n* * [2. AI Model Selection + and Development] \\n* * [3. Change Management and User Adoption] \\n* * [4. + Security and Compliance Considerations] \\n* [Measuring Success and ROI from + Agentic AI Implementations] \\n* [Key Performance Indicators for Agentic AI] + \\n* * [ROI Calculation Framework] \\n* * [Performance Monitoring and Optimization] + \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What + are the most effective Agentic AI use cases in 2025?] \\n* * [Which industries + benefit most from Agentic AI in 2025?] \\n* * [How do agentic AI use cases deliver + ROI for businesses?] \\n* * [What are real-life examples of successful agentic + AI implementations?] \\n* * [How can startups implement agentic AI use cases + effectively?] \\n* [Conclusion] \\n* [Related Blogs] \\n## Share This Article\\n![A + smiling businesswoman interacts with an AI dashboard surrounded by AI robots, + charts, coins and analytics, symbolizing agentic AI use cases across industries + like healthcare, sales and retail in 2025.] ## Introduction\\nWhat if AI agents + could autonomously handle complex business processes, make intelligent decisions + and deliver measurable ROI without constant human oversight? Agentic AI use + cases are revolutionizing how enterprises operate in 2025, with autonomous systems + transforming everything from customer service to supply chain management. This + comprehensive guide explores 7 promising agentic AI applications with real-world + business examples that demonstrate tangible value across industries.\\nThis + blog explores 7 promising agentic AI use cases with real-world business examples + for 2025, offering actionable insights for enterprises seeking autonomous AI + solutions that deliver measurable ROI and operational efficiency.\\n## What + Are Agentic AI Use Cases and Why They Matter in 2025?\\nAgentic AI use cases + involve autonomous AI systems that can make independent decisions, execute complex + tasks, and adapt to changing conditions without human intervention, representing + a[$196.6 billion market opportunity by 2034].\\nAgentic AI represents the next + evolution of artificial intelligence, where systems function as autonomous agents + capable of independent decision-making and goal-oriented behavior. Unlike traditional + AI systems that require constant human oversight,[agentic AI applications] can + analyze complex situations, adapt to changing environments, and execute multi-step + processes autonomously.\\n### Understanding Autonomous AI Agents vs Traditional + AI Systems\\nTraditional AI systems operate within predefined parameters, responding + to specific inputs with programmed outputs. In contrast, autonomous agents leverage + advanced[machine learning] algorithms\\nSummary: None\\n\\n\\nTitle: Top Agentic + AI Platforms in 2025: A Complete Guide for Businesses\\nURL: https://kodexolabs.com/top-agentic-ai-platforms/\\nID: + https://kodexolabs.com/top-agentic-ai-platforms/\\nScore: None\\nPublished Date: + 2025-10-07T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/10/Top-Agentic-AI-Platforms.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Top Agentic AI Platforms 2025 | Business Automation + Guide[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# Top Agentic AI Platforms in 2025: A Complete Guide for + Businesses\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nOctober 7, 2025\\nSyed Ali + Hasan Shah\\n[Agentic AI] \\nOctober 7, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Introduction:] \\n3. [What Are Agentic AI Platforms and + Why They Matter in 2025] \\n* [Understanding Agentic Systems vs Traditional + AI] \\n* * [Core Components of Agentic AI Platforms] \\n* * [Market Impact and + 2025 Projections] \\n* [Top Agentic AI Platforms for Business in 2025] \\n* + [Enterprise-Grade Platforms] \\n* * [Platform Comparison Matrix] \\n* * [Platform + Selection Criteria] \\n* [Best Agentic AI Platforms for Business Applications] + \\n* [Enterprise Workflow Automation] \\n* * [Customer Relationship Management + Enhancement] \\n* * [Operational Intelligence and Analytics] \\n* [Key Features + and Integration Capabilities of AI Agent Platforms] \\n* [What Are the Integration + Capabilities of AI Agent Platforms?] \\n* * [Core Technical Features] \\n* * + [Advanced Capabilities] \\n* [Platforms to Build AI Agents: Development and + Creation Tools] \\n* [What Is the Best Platform to Build AI Agents?] \\n* * + [Development Tools and Frameworks] \\n* * [Technical Implementation Considerations] + \\n* [Which AI Agent Platform Is Best for Small Businesses] \\n* [Which AI Agent + Platform Is Best for Small Businesses?] \\n* * [Cost-Effective Platform Options] + \\n* * [How Do AI Agent Platforms Help Businesses Scale?] \\n* [What Industries + Benefit Most from AI Agent Platforms] \\n* [What Industries Benefit Most from + AI Agent Platforms?] \\n* * [Customer Service and Support Applications] \\n* + * [Industry-Specific Use Cases] \\n* [Microsoft Ecosystem and Enterprise Integration] + \\n* [Microsoft Copilot Studio Platform Overview] \\n* * [Microsoft Azure Integration + Advantages] \\n* * [Enterprise Ecosystem Benefits] \\n* [Advanced Features and + Market Innovations] \\n* [Agent Marketplaces and Ecosystem Development] \\n* + [What Is Advanced Sentiment Analysis?] \\n* [Next-Generation Interaction Models] + \\n* * [2025 Market Trends and Predictions] \\n* [Implementation Strategy and + Best Practices] \\n* [Strategic Planning and Platform Selection] \\n* * [Deployment + Methodology and Phases] \\n* * [Success Factors and Key Performance Indicators] + \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [Does + OpenAI Have an Agentic AI Platform?] \\n* * [What Is the Best AI Agent Platform + for Specific Industries?] \\n* * [How Much Do AI Agent Platforms Cost for Small + Businesses?] \\n* * [What Are the Security Considerations for AI Agent Platforms?] + \\n* * [How Long Does It Take to Implement an AI Agent Platform?] \\n* * [Can + Agentic AI Platforms Integrate with Legacy Systems?] \\n* [Conclusion: Embracing + the Agentic AI Revolution] \\n* [Related Blogs] \\n## Share This Article\\n![Robot + sitting at a control desk with multiple screens, symbolizing top agentic AI + platforms in 2025 for businesses, automation and AI agent creation platforms.] + ## Introduction:\\nAre businesses ready for the autonomous AI revolution that’s + transforming enterprise operations in 2025? Top agentic AI platforms are enabling + companies to deploy intelligent agents that can make decisions, execute tasks, + and interact with customers independently, fundamentally changing how organizations + operate. This comprehensive guide explores the leading agentic AI platforms, + their capabilities, and strategic implementation approaches for modern businesses.\\nThis + blog explores top agentic AI platforms in 2025, offering businesses, developers, + and decision-makers practical insights into platform selection, implementation, + and strategic advantages across industries.\\n## What Are Agentic AI Platforms + and Why They Matter in 2025\\nAgentic AI platforms are autonomous systems that + enable AI agents to make independent decisions, execute tasks, and interact + with environments without constant human oversight, revolutionizing[business + automation capabilities].\\nThe evolution of agentic AI represents a fundamental + shift from[reactive automation to proactive intelligence]. Unlike traditional + AI tools that respond to commands, agentic systems demonstrate true autonomy + by making contextual decisions, learning from outcomes, and adapting strategies + in real-time. According to recent research, agentic AI platforms are projected + to improve business[productivity by 30% through 2035].\\n### Understanding Agentic + Systems vs Traditional AI\\nTraditional AI systems operate within predefined + parameters, executing specific tasks when triggered by human input or predetermined + conditions.[Agentic AI] systems, however, possess reasoning capabilities that + enable autonomous goal pursuit, dynamic problem-solving, and independent task + orchestration.\\n* **Reactive AI:**Responds to specific inputs with predetermined + outputs\\n* **Agentic AI:**Initiates actions based on environmental analysis + and goal optimization\\n* **Decision-making:**Evaluates multiple options and + selects optimal strategies autonomously\\n* **Learning adaptation:**Continuously + improves performance through experience accumulation\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, with + forecasts on trends to come. Join our community\\nSummary: None\\n\\n\\nTitle: + The Rise of Agentic AI : Applications, Benefits, and Real-World Use Cases\\nURL: + https://www.rolustech.com/blog/the-rise-of-agentic-ai-applications-benefits-and-real-world-use-cases\\nID: + https://www.rolustech.com/blog/the-rise-of-agentic-ai-applications-benefits-and-real-world-use-cases\\nScore: + None\\nPublished Date: 2025-09-24T00:00:00.000Z\\nAuthor: Sarah Meyers\\nImage: + https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-27.png\\nFavicon: + https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\\nExtras: + None\\nSubpages: None\\nText: The Rise of Agentic AI: Benefits and Applications\\n[![Link.png]] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* [Database Migration Services] \\n* + [Implementation Services] \\n* [Comprehensive Training Services] \\n* [Support + & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] \\n* + [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization and + Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting + Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry + Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration + Solutions] \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] + \\n* [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] + \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n**\\nContact us\\n[![Rolustech]] + [![Rolustech]] \\n# The Rise of Agentic AI : Applications, Benefits, and Real-World + Use Cases\\n* [Your Partner in CRM, Custom Software & AI Solutions] \\n* + [Blog] \\n* The Rise of Agentic AI : Applications, Benefits, and Real-World + Use Cases\\n![Blog Banner for Rolustech (27)] \\n* **September 24, 2025\\n* + **By[Sarah Meyers] \\n* **[Blog] \\nThe future of artificial intelligence is + here, and it\u2019s called[agentic AI]. Unlike traditional AI models that only + process information, agentic AI systems can plan, act, and learn independently.\\nThis + new wave of intelligence is designed to operate with autonomy. Autonomous agentic + AI is not just a tool, it\u2019s a decision-maker. It handles tasks, adjusts + strategies, and communicates with other systems in real-time.\\nBusinesses worldwide + are exploring agentic AI applications. From finance to healthcare, companies + are discovering how this technology transforms operations. The future of agentic + AI is filled with possibilities, and it\u2019s reshaping how work gets done.\\n## + Why Agentic AI Matters for Businesses\\nWhy is agentic AI gaining so much attention + in 2025? The reason is simple impact.\\nCompanies are moving beyond basic automation. + Agentic AI systems bring autonomy, adaptability, and intelligence to workflows.\\nEfficiency + is another factor. Autonomous agentic AI completes tasks faster and with fewer + errors. It also scales easily, handling multiple processes at once.\\nThe business + case is clear: cost savings, increased productivity, and smarter decision-making. + That\u2019s why many executives view the agentic AI framework as essential, + not optional.\\nFor organizations wanting to stay competitive, adopting agentic + AI applications is no longer a futuristic idea, it\u2019s a necessity.\\n![Agentic + AI] \\n## What Exactly Is Agentic AI?\\nAt its core, agentic[AI] is a new model + of intelligence designed to act independently.\\nUnlike traditional AI that + relies on constant instructions, autonomous agentic AI sets goals, adapts to + changes, and executes tasks without constant oversight.\\nIt combines machine + learning, natural language processing, and reasoning. This enables agentic AI + systems to make decisions at scale.\\nKey agentic AI applications include:\\n* + Customer service automation with adaptive responses\\n* [Financial] analysis + and fraud detection\\n* Supply chain monitoring with predictive adjustments\\n* + Personalized healthcare recommendations\\nThe agentic AI framework ensures flexibility, + scalability, and integration across industries. That\u2019s why it\u2019s becoming + central to the future of agentic AI.\\n## What\u2019s New with Agentic AI in + 2025\\nSo, what\u2019s different about agentic AI systems today compared to + earlier AI?\\n**First**, autonomy has advanced. Autonomous agentic AI no longer + waits for instructions, it identifies problems and solves them.\\n**Second**, + integration is seamless. Modern agentic AI applications seamlessly connect to[CRM] + s, ERPs, and cloud platforms.\\n**Third**, reasoning has improved. With the + agentic AI framework, systems not only analyze but also explain their decisions.\\n**Finally**, + collaboration is real. Agentic AI systems can communicate with each other, creating + networks\\nSummary: None\\n\\n\\nTitle: AI Agents for Smarter Business Automation + in 2025 - Kodexo Labs\\nURL: https://kodexolabs.com/business-automation-with-ai-agents/\\nID: + https://kodexolabs.com/business-automation-with-ai-agents/\\nScore: None\\nPublished + Date: 2025-09-26T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/09/AI-Agents-in-Business-Automation.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: AI Agents for Smarter Business Automation in 2025[Skip + to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI + Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI Integration] + \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] \\n* [Gen AI + Consulting] ### Product Designing\\n* [Product Designing] \\n### AI Development\\n* + [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI + Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] + \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] + \\n### Software Development\\n* [Software Development Services] \\n* [Custom + Product Development] \\n* [Software Consulting] \\n* [Mobile App Development] + \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* + [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting and + Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based Resource + Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance and + AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# The Future of Business Automation Starts with AI Agents\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nSeptember 26, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nSeptember 26, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [Why Business Automation with AI Agents Matters Now] \\n3. [What Are AI Agents + and Why They're Revolutionizing Business Process Automation] \\n* [What + Makes AI Agents Different from Traditional Automation] \\n* * [The AI Agent + Era: Key Characteristics] \\n* * [Real-World Impact Statistics] \\n* [How AI + Agents Are Transforming Business Automation Across Industries] \\n* [Core Areas + of Business Process Transformation] \\n* * [Measuring Automation Success] \\n* + [The Technology Stack Behind AI Agents for Business Automation] \\n* [Core Technologies + Powering AI Agents] \\n* * [Implementation Architecture] \\n* * [Who Has the + Best AI Agents for Business Automation?] \\n* [Industry Applications: Where + AI Agents Excel in Business Operations] \\n* [Customer Service Transformation] + \\n* * [Supply Chain & Operations] \\n* * [Document-Heavy Processes] \\n* + * [Task Automation Across Departments] \\n* [AI Agents for Small Business Automation: + Scalable Solutions] \\n* [Small Business Automation Priorities] \\n* * [Using + AI Agents to Automate Business Operations: A Step-by-Step Approach] \\n* * [Cost-Benefit + Analysis for Small Businesses] \\n* [Custom AI Agent Solutions and Platform + Integrations] \\n* [Microsoft's AI Agents and Azure Integration] \\n* * + [Custom AI Agent Development] \\n* * [Vendor Selection Criteria] \\n* [Advanced + AI Agent Capabilities: Security, Compliance, and Future Technologies] \\n* [Security + and Compliance in AI Agent Systems] \\n* * [Emerging Technologies and Capabilities] + \\n* * [Predictive Intent Modeling] \\n* [Regional Adoption Trends and Market + Variations in AI Agent Implementation] \\n* [Factors Influencing Regional AI + Agent Adoption] \\n* * [Regional Adoption Patterns Comparison] \\n* * [Market + Growth Projections] \\n* [Implementation Strategy: Building Your AI Agent Automation + Roadmap] \\n* [Phase 1: Assessment and Planning] \\n* * [Phase 2: Pilot Implementation] + \\n* * [Phase 3: Scaling and Optimization] \\n* * [Common Implementation Challenges + and Solutions] \\n* [Measuring ROI and Success Metrics for AI Agent Automation] + \\n* [Key Performance Indicators (KPIs)] \\n* * [ROI Calculation Framework] + \\n* * [Benchmarking and Industry Standards] \\n* [At a Glance: Key Takeaways] + \\n* [Frequently Asked Questions] \\n* [What are the best AI agents for business + automation?] \\n* * [How do AI agents automate business processes differently + than traditional software?] \\n* * [What ROI can businesses expect from AI agent + automation?] \\n* * [Are AI agents suitable for small business automation?] + \\n* * [How do you ensure security and compliance with AI agents?] \\n* [Conclusion: + Embracing the AI Agent Revolution] \\n* [Related Blogs] \\n## Share This Article\\n![Futuristic + office with AI agents and holographic automation systems symbolizing the future + of business process automation and AI agents transforming business operations.] + ## Why Business Automation with AI Agents Matters Now\\nDid you know that[33% + of enterprise] software applications will include agentic AI by 2028? The future + of business automation is being written today by organizations that understand + AI agents aren’t just tools\u2014they’re autonomous partners capable + of transforming entire business operations. From streamlining complex workflows + to enhancing customer experiences, AI agents represent the next evolution in + intelligent automation.\\nThis comprehensive guide explores how[AI agents] are + revolutionizing business process automation, offering strategic insights for + developers, business leaders, and organizations looking to leverage intelligent + automation for competitive advantage in 2025 and beyond.\\n## What Are AI Agents + and Why They’re Revolutionizing Business Process Automation\\nAI agents + are autonomous software systems that can perceive, reason, and act independently + to automate business processes, making decisions without human intervention + while continuously learning and adapting to improve performance and efficiency.\\nUnlike + traditional automation tools that follow predetermined scripts, AI agents leverage[machine + learning] and natural language processing to understand context, make intelligent + decisions, and adapt to changing business conditions. These intelligent process + agents are transforming how organizations approach workflow automation and operational + efficiency.\\n### What Makes AI Agents Different from Traditional Automation\\nTraditional + automation requires extensive programming for every possible scenario, while + AI agents learn from data and experience. According to[McKinsey’s 2024 + research], organizations using AI agents see 40-60% faster decision-making compared + to rule-based automation systems.\\n* **Autonomous decision-making:**AI agents + evaluate situations and choose optimal actions without human intervention\\n* + **Learning capabilities:**Systems improve performance through continuous[data + analysis] and pattern recognition\\n* **Natural language understanding:**Agents + process unstructured data and communicate in human-like language\\n* **Context + awareness:**Advanced reasoning enables appropriate responses to complex, dynamic + situations\\n##### Stay Updated\u2014Join Our Newsletter!\\n###### Newsletter\\nDon\u2019t + miss on the latest\\nSummary: None\\n\\n\\nTitle: How Agentic AI Elevates Data + Analytics for the 2025 Industry Shift\\nURL: https://kodexolabs.com/agentic-ai-data-analytics/\\nID: + https://kodexolabs.com/agentic-ai-data-analytics/\\nScore: None\\nPublished + Date: 2025-08-26T00:00:00.000Z\\nAuthor: \\nImage: None\\nFavicon: None\\nExtras: + None\\nSubpages: None\\nText: [Skip to content] \\n\\n# How Agentic AI Elevates + Data Analytics for the 2025 Industry Shift\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic + AI] \\n\\nAugust 26, 2025\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust + 26, 2025\\n\\nTable Of Contents\\n\\n01. [Share This Article] \\n02. [Introduction] + \\n03. [What Are AI Agents in Data Analytics?] \\n - [Understanding Agentic + Architecture in Analytics] \\n - [Key Characteristics of Autonomous AI Agents] + \\n04. [How Does AI Make Decisions in Modern Analytics?] \\n - [The Technology + Behind AI Decision Making] \\n - [AI Decision Making Software Components] \\n + - [What Technology Can Collect Information to Make Decisions] \\n05. [Future + of Data Analytics with AI in 2025] \\n - [Market Trends Shaping 2025 Analytics + Landscape] \\n - [How AI Can Enhance Strategic Decision-Making for Sustainability] + \\n - [Emerging Technologies Driving the 2025 Shift] \\n06. [Technical Infrastructure + for Agentic AI Analytics] \\n - [Essential Data Infrastructure Components] \\n + - [AI Models and Processing Framework] \\n - [Integration Architecture for Enterprise + Systems] \\n07. [Industry Applications of Agentic AI in Data Analytics] \\n + - [Supply Chain Optimization and Analytics] \\n - [Customer Engagement and Marketing + Applications] \\n - [Financial Operations and Risk Management] \\n08. [Data + Management and Quality Assurance] \\n - [Data Quality and Governance Framework] + \\n - [Real-Time Analytics and Processing] \\n - [Data Mesh Architecture Implementation] + \\n09. [Enterprise Solutions and Self-Service BI] \\n - [Self-Service BI Powered + by AI Agents] \\n - [Automated Workflows and Process Optimization] \\n - [Enterprise + Analytics Platform Integration] \\n10. [Emerging Technologies and AI Integration] + \\n - [Generative AI in Data Analytics] \\n - [Natural Language Processing Advancements] + \\n - [Robotic Process Automation Integration] \\n11. [Geographic Trends and + Regional Variations] \\n - [Factors Influencing Regional Differences] \\n - + [Comparison of Regional Trends] \\n12. [Implementation Challenges and Solutions] + \\n - [Regulatory Challenges and Compliance] \\n - [Technical Integration and + Infrastructure] \\n - [Strategic Implementation Approaches] \\n13. [Industry-Specific + Use Cases and Success Stories] \\n - [Healthcare and Life Sciences] \\n - [Financial + Services and Banking] \\n - [Manufacturing and Industrial Automation] \\n - + [Education and Training] \\n14. [At a Glance: Key Takeaways] \\n15. [Frequently + Asked Questions] \\n - [What are AI agents in data analytics?] \\n - [How is + agentic AI used in data analytics?] \\n - [What technology can collect information + to make decisions?] \\n - [How does AI enhance strategic decision-making for + sustainability?] \\n - [What is the future of data analytics with AI in 2025?] + \\n - [What are the main challenges in implementing agentic AI for data analytics?] + \\n16. [Conclusion] \\n17. [Related Blogs] \\n\\n## Share This Article\\n\\n## + Introduction\\n\\nAre businesses ready for the autonomous revolution in data + analytics that\u2019s reshaping entire industries? [Agentic AI] systems that + can act independently to analyze data, make decisions, and execute actions\u2014is + driving the 2025 industry shift toward fully autonomous analytics platforms. + This transformation promises to eliminate traditional bottlenecks in data processing + while delivering unprecedented insights for competitive advantage.\\n\\nThis + comprehensive guide explores how agentic AI elevates data analytics for the + 2025 industry shift, covering technical implementation, business applications, + and strategic advantages for modern organizations seeking autonomous intelligence + solutions.\\n\\n## What Are AI Agents in Data Analytics?\\n\\n[AI agents] in + data analytics are autonomous systems that independently collect, analyze, and + act on data insights without human intervention, revolutionizing how organizations + process information and make decisions through intelligent automation.\\n\\nAI + agents represent the next evolution in data analytics, moving beyond traditional + reactive systems to proactive, autonomous intelligence platforms. These systems + combine [machine learning] capabilities with decision-making frameworks to create + truly independent analytics solutions. Unlike conventional analytics tools that + require human oversight, agentic AI systems can identify patterns, generate + insights, and execute actions autonomously.\\n\\n### Understanding Agentic Architecture + in Analytics\\n\\nAgentic architecture represents a fundamental shift from traditional + data processing models. At its core, agentic AI consists of autonomous agents + that can perceive their environment, make decisions based on predefined goals, + and take actions to achieve desired outcomes. These systems integrate multiple + AI technologies including [deep learning], natural language processing, and + predictive analytics.\\n\\nMulti-agent systems further enhance this architecture + by deploying specialized agents for different analytics tasks. For example, + one agent might focus on data quality monitoring while another handles predictive + modeling. This distributed approach allows for more robust and scalable analytics + solutions that can adapt to changing business requirements.\\n\\n- **Autonomous + Decision Making:** Agents operate independently without constant human supervision\\n- + **Goal-Oriented Behavior:** Systems work toward specific business objectives\\n- + **Multi-Agent Coordination:** Specialized agents collaborate for complex analytics + tasks\\n- **Adaptive Learning:** Agents improve performance through continuous + learning\\n\\n##### Stay Updated\u2014Join Our Newsletter!\\n\\n###### Newsletter\\n\\nDon\u2019t + miss on the latest updates in the world of AI. We dispatch custom reports and + newsletters every week, with forecasts on trends to come. Join our community + now!\\n\\n### Key Characteristics of Autonomous AI Agents\\n\\n[Autonomous AI + agents] in data analytics exhibit several critical characteristics that distinguish + them from traditional analytics tools. Independence remains the primary differentiator\u2014these + systems can operate without human intervention while maintaining high accuracy + levels. According to 2024 research, [33% of enterprise software applications + will include agentic AI] capabilities by 2028.\\n\\nSelf-learning capabilities + enable these agents to improve their performance over time through experience + and feedback. This continuous improvement cycle ensures that analytics accuracy + and relevance increase with usage. Integration capabilities allow seamless connection + with existing [data analytics services] and enterprise systems.\\n\\n| Characteristic + | Traditional Analytics | Agentic AI Analytics |\\n| --- | --- | --- |\\n| Decision + Making | Human-dependent | Autonomous |\\n| Learning Capability | Static models + | Continuous improvement |\\n| Response Time | Hours to days | Real-time |\\n| + Scalability | Manual scaling | Auto-scaling |\\n\\n## How Does AI Make Decisions + in Modern Analytics?\\n\\nAI makes analytics decisions through advanced algorithms + that process vast datasets, identify patterns, and apply predefined rules or + learned behaviors to generate actionable insights automatically within milliseconds + of data ingestion.\\n\\nThe decision-making process in AI-powered analytics + involves complex algorithmic frameworks that combine statistical analysis, pattern + recognition, and predictive modeling. These systems utilize [neural networks] + and machine learning algorithms to process structured and unstructured data + simultaneously, creating comprehensive analytical insights.\\n\\n_AI agents + in data analytics transform business intelligence with data-driven AI agents, + advanced decision-making software and autonomous insights._\\n\\n### The Technology + Behind AI Decision Making\\n\\nModern AI decision-making systems rely on sophisticated + technology stacks that integrate multiple analytical approaches. Machine learning + algorithms form the foundation, enabling systems to learn from historical data + patterns and make predictions about future outcomes. Deep learning models handle + complex pattern recognition tasks, particularly useful for unstructured data + analysis.\\n\\n[Natural Language Processing] capabilities allow AI systems to + interpret human language queries and convert them into analytical tasks. Integration + with large language models provides contextual understanding, enabling more + nuanced decision-making processes. These technologies work together to create + comprehensive analytical solutions that can handle diverse data types and analytical + requirements.\\n\\n#### What Is Real-Time Decision Processing?\\n\\nReal-time + decision processing enables AI systems to analyze incoming data and make decisions + within milliseconds. This capability is crucial for applications requiring immediate + responses, such as fraud detection or supply chain optimization.\\n\\n### AI + Decision Making Software Components\\n\\nEffective AI decision-making software + consists of several integrated components working in harmony. Real-time data + processing engines handle continuous data streams from multiple sources, ensuring + decisions are based on the most current information available. Predictive analytics + frameworks use historical data to forecast future trends and outcomes.\\n\\nAutomated + workflow systems execute decisions once they\u2019re made, connecting analytical + insights to business actions. Our [AI development services] include comprehensive + workflow automation capabilities that ensure seamless decision implementation.\\nSummary: + None\\n\\n\\nTitle: AI agents are here. Here\u2019s what to know about what + they can do \u2013 and how they can go\_wrong\\nURL: https://theconversation.com/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong-261579\\nID: + https://theconversation.com/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong-261579\\nScore: + None\\nPublished Date: 2025-07-27T00:00:00.000Z\\nAuthor: Daswin de Silva\\nImage: + None\\nFavicon: None\\nExtras: None\\nSubpages: None\\nText: George Peters / + Getty Images\\n\\nWe are entering the third phase of generative AI. First came + the chatbots, followed by the assistants. Now we are beginning to see agents: + systems that aspire to greater autonomy and can work in \u201Cteams\u201D or + use tools to accomplish complex tasks.\\n\\nThe latest hot product is OpenAI\u2019s + [ChatGPT agent]. This combines two pre-existing products (Operator and Deep + Research) into a single more powerful system which, according to the developer, + \u201Cthinks and acts\u201D.\\n\\nThese new systems represent a step up from + earlier AI tools. Knowing how they work and what they can do \u2013 as well + as their drawbacks and risks \u2013 is rapidly becoming essential.\\n\\n## From + chatbots to agents\\n\\nChatGPT launched the chatbot era in November 2022, but + despite its [huge popularity] the conversational interface limited what could + be done with the technology.\\n\\nEnter the AI assistant, or [copilot]. These + are systems built on top of the same large language models that power generative + AI chatbots, only now designed to carry out tasks with human instruction and + supervision.\\n\\nAgents are another step up. They are intended to pursue goals + (rather than just complete tasks) with varying degrees of autonomy, supported + by more advanced capabilities such as [reasoning and memory].\\n\\nMultiple + AI agent systems may be able to [work together], [communicating with each other] + to plan, schedule, decide and coordinate to solve complex problems.\\n\\nAgents + are also \u201Ctool users\u201D as they can also [call on software tools] for + specialised tasks \u2013 things such as web browsers, spreadsheets, payment + systems and more.\\n\\n## A year of rapid development\\n\\nAgentic AI has [felt + imminent] since late last year. A big moment came last October, when Anthropic + gave its Claude chatbot the ability to [interact with a computer] in much the + same way a human does. This system could search multiple data sources, find + relevant information and submit online forms.\\n\\nOther AI developers were + quick to follow. OpenAI released a web browsing agent named [Operator], Microsoft + announced [Copilot agents], and we saw the launch of Google\u2019s [Vertex AI] + and Meta\u2019s [Llama agents].\\n\\nEarlier this year, the Chinese startup + Monica demonstrated its Manus AI agent [buying real estate] and [converting + lecture recordings into summary notes]. Another Chinese startup, Genspark, released + a [search engine agent] that returns a single-page overview (similar to what + [Google does now]) with embedded links to online tasks such as finding the best + shopping deals. Another startup, [Cluely], offers a somewhat unhinged \u201Ccheat + at anything\u201D agent that has gained attention but is yet to deliver meaningful + results.\\n\\nNot all agents are made for general-purpose activity. Some are + specialised for particular areas.\\n\\nCoding and software engineering are at + the vanguard here, with Microsoft\u2019s [Copilot] coding agent and OpenAI\u2019s + [Codex] among the frontrunners. These agents can independently write, evaluate + and commit code, while also assessing human-written code for errors and performance + lags.\\n\\n## Search, summarisation and more\\n\\nOne core strength of generative + AI models is search and summarisation. Agents can use this to carry out research + tasks that might take a human expert days to complete.\\n\\nOpenAI\u2019s [Deep + Research] tackles complex tasks using multi-step online research. Google\u2019s + [AI \u201Cco-scientist\u201D] is a more sophisticated multi-agent system that + aims to help scientists generate new ideas and research proposals.\\n\\n## Agents + can do more \u2013 and get more wrong\\n\\nDespite the hype, AI agents come + loaded with caveats. Both [Anthropic] and [OpenAI], for example, prescribe active + human supervision to minimise errors and risks.\\n\\nOpenAI also says its ChatGPT + agent is \u201Chigh risk\u201D due to potential for assisting in the creation + of biological and chemical weapons. However, the company has not published the + data behind this claim so it is difficult to judge.\\n\\nBut the kind of risks + agents may pose in real-world situations are shown by [Anthropic\u2019s Project + Vend]. Vend assigned an AI agent to run a staff vending machine as a small business + \u2013 and the project disintegrated into hilarious yet shocking hallucinations + and a fridge full of tungsten cubes instead of food.\\n\\nIn another cautionary + tale, a coding agent [deleted] a developer\u2019s entire database, later saying + it had \u201Cpanicked\u201D.\\n\\n## Agents in the office\\n\\nNevertheless, + agents are already finding practical applications.\\n\\nIn 2024, Telstra heavily + deployed [Microsoft copilot subscriptions]. The company says AI-generated meeting + summaries and content drafts save staff an average of 1\u20132 hours per week.\\n\\nMany + large enterprises are pursuing similar strategies. Smaller companies too are + experimenting with agents, such as Canberra-based construction firm Geocon\u2019s + use of an interactive AI agent to [manage defects in its apartment developments].\\n\\n## + Human and other costs\\n\\nAt present, the main risk from agents is technological + displacement. As agents improve, they may replace human workers across many + sectors and types of work. At the same time, agent use may also accelerate the + decline of [entry-level white-collar jobs].\\n\\nPeople who use AI agents are + also at risk. They may rely too much on the AI, [offloading] important cognitive + tasks. And without proper supervision and guardrails, hallucinations, cyberattacks + and compounding errors can very quickly derail an agent from its task and goals + into causing harm, loss and injury.\\n\\nThe true costs are also unclear. All + generative AI systems [use a lot of energy], which will in turn affect the price + of using agents \u2013 especially for more complex tasks.\\n\\n## Learn about + agents \u2013 and build your own\\n\\nDespite these ongoing concerns, we can + expect AI agents will become more capable and more present in our workplaces + and daily lives. It\u2019s not a bad idea to start using (and perhaps building) + agents yourself, and understanding their strengths, risks and limitations.\\n\\nFor + the average user, agents are most accessible through [Microsoft copilot studio]. + This comes with inbuilt safeguards, governance and an [agent store] for common + tasks.\\n\\nFor the more ambitious, you can build your own AI agent with just + five lines of code using the [Langchain] framework.\\n\\n- [Artificial intelligence + (AI)] \\n- [Technology] \\n- [Future of work] \\n- [Autonomous systems] \\n- + [AI ethics] \\n- [AI risks] \\n- [AI agents] \\n\\n### Want to write?\\n\\nWrite + an article and join a growing community of more than 217,000 academics and researchers + from 5,400 institutions.\\n\\n[Register now] \\n\\n- [\u200B] \\n- [\u200B] + \\n- [\u200B] \\n- [\u200B] \\n- [\u200B] \\n- [\u200B]\\nSummary: None\\n\\nResolved + Search Type: neural\\nCostDollars: total=0.015\\n - search: {'neural': 0.005}\\n + \ - contents: {'text': 0.01}\"},{\"role\":\"tool\",\"tool_call_id\":\"call_nHKAg1q7PEYpD2Ch4bW78oqV\",\"name\":\"exa_search_tool\",\"content\":\"Title: + AI Agent in 2025: How Autonomous Agents Redefine Workflows\\nURL: https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\\nID: + https://www.rolustech.com/blog/ai-agent-in-2025-how-autonomous-agents-are-redefining-workflows\\nScore: + None\\nPublished Date: 2025-09-23T00:00:00.000Z\\nAuthor: Amer Wilson\\nImage: + https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-26.png\\nFavicon: + https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\\nExtras: + None\\nSubpages: None\\nText: AI Agent in 2025: How Autonomous Agents Redefine + Workflows\\n[] \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration + Solutions] \\n* [Salesforce Integration Services] \\n* [Database Migration Services] + \\n* [Implementation Services] \\n* [Comprehensive Training Services] 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Configuration + Solutions] \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] + \\n* [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] + \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n**\\nContact us\\n[] + [] \\n# AI Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* + [Your Partner in CRM, Custom Software & AI Solutions] \\n* [Blog] \\n* AI + Agent in 2025: How Autonomous Agents Are Redefining Workflows\\n* **September + 23, 2025\\n* **By[Amer Wilson] \\n* **[Blog] \\n## The Future of Smarter Workflows\\nThe + year 2025 is a defining moment for[AI agents]. They\u2019ve moved far beyond + experimental use.\\nToday, AI-powered agents handle critical business tasks, + manage data, and automate complex workflows. What was once a futuristic idea + is now a practical reality. Autonomous AI agents are revolutionizing the way + businesses operate.\\nThese tools offer speed, accuracy, and scalability. Companies + adopting AI workflow automation are setting new standards for efficiency.\\nLet\u2019s + dive into why AI agent use cases are becoming central to modern business operations.\\n## + Why Businesses Can\u2019t Ignore AI Agents Anymore\\nThe simple answer: efficiency. + AI agents streamline repetitive tasks that consume time and resources.\\nMistakes + in manual processes can be costly. AI-powered agents complete tasks with consistent + accuracy. Scalability is another driver. Humans can multitask, but autonomous + AI agents handle hundreds of tasks simultaneously.\\nThis power enables rapid + growth, particularly in industries such as healthcare,[finance], and e-commerce.\\nMore + importantly, automation frees employees from routine work. With AI workflow + automation, they focus on creativity and strategy.\\nThe benefits are clear: + better results, reduced costs, and faster operations. Businesses can\u2019t + afford to ignore them.\\n## AI Agents Explained: What They Really Do in 2025\\nSo, + what exactly is an AI agent? At its core, it\u2019s a digital decision-maker.\\nUnlike + traditional bots, autonomous AI agents don\u2019t just follow commands. They + learn, adapt, and improve. They integrate with systems like[CRM] s, ERPs, and + analytics platforms. This makes AI workflow automation seamless.\\nFor instance, + a customer service AI agent can analyze past cases and resolve issues faster.\\nIn + finance, AI-powered agents detect fraud by spotting unusual transaction patterns + in real-time.\\nSome popular AI agent use cases include HR onboarding, lead + qualification, inventory monitoring, and IT helpdesk support.\\nWherever there\u2019s + repetitive, data-heavy work, autonomous AI agents are stepping in.\\n## What\u2019s + New with Autonomous AI Agents in 2025\\nSeveral advancements are expected to + enhance the capabilities of AI agents in 2025.\\nFirst, natural language capabilities + have evolved. Teams interact with AI-powered agents using plain English commands.\\nSecond, + cross-platform integration is seamless. Autonomous AI agents seamlessly integrate + CRMs, ERPs, and communication apps. For example, an AI agent can fetch customer + data, update invoices, and send email alerts instantly.\\nThird, compliance + and security features have matured. Companies trust the best AI agent tools + with sensitive data.\\nFourth, predictive insights are now standard. AI agents + forecast outcomes and suggest smarter actions.\\nFinally, the user experience + has improved dramatically. Drag-and-drop builders simplify the design of AI + workflow automation.\\nTogether, these innovations make autonomous AI agents + indispensable\\nSummary: None\\n\\n\\nTitle: What are Autonomous AI Agents? + A Complete Guide 2025\\nURL: https://kodexolabs.com/what-are-autonomous-ai-agents/\\nID: + https://kodexolabs.com/what-are-autonomous-ai-agents/\\nScore: None\\nPublished + Date: 2025-07-31T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/07/What-Are-Autonomous-AI-Agents-A-Complete-Guide-for-2025.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: What are Autonomous AI Agents? A Complete Guide + 2025[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# What Are Autonomous AI Agents? A Complete Guide for + 2025 and Beyond\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Introduction] \\n3. [What Are Autonomous AI Agents? Understanding + the Fundamentals] \\n* [What Makes an AI Agent Autonomous?] \\n* * [Autonomous + Agents vs Traditional AI Systems] \\n* * [Key Characteristics of Modern Autonomous + Agents] \\n* [How Do Autonomous AI Agents Work? Technical Architecture Explained] + \\n* [Core Components of Autonomous AI Systems] \\n* * [Types of Autonomous + Agents by Intelligence Level] \\n* * [Machine Learning Integration in Agent + Architecture] \\n* [Autonomous AI Agents 2025: Latest Developments and Technical + Advancements] \\n* [Recent Developments in Autonomous AI Agents 2025] \\n* * + [Top Technical Advancements Shaping 2025] \\n* * [Fully Autonomous AI Agents: + What's Now Possible in 2025] \\n* [Best Autonomous AI Agents Examples and + Real-World Applications] \\n* [Top Consumer Autonomous AI Agents] \\n* * [Enterprise + and Business Applications] \\n* * [Emerging Application Areas in 2025] \\n* + * [Performance Metrics and Success Stories] \\n* [The Role of Autonomous AI + Agents in Business and Industry Impact] \\n* [How Autonomous AI Agents Will + Impact Industries in 2025] \\n* * [Salesforce Autonomous Agents and CRM Integration] + \\n* * [Autonomous Agents Market Growth and Opportunities] \\n* * [Customer + Service Revolution Through AI Agents] \\n* [How to Build Autonomous AI Agents: + Development and Implementation Guide] \\n* [Essential Steps for Building Autonomous + AI Agents] \\n* * [Best Use Cases for Autonomous AI Agents] \\n* * [AI Agent + Automation for Startups in 2025] \\n* * [Integration with External Tools and + Systems] \\n* * [Development Challenges and Solutions] \\n* [Autonomous AI Agents + vs Traditional Systems: A Comprehensive Comparison] \\n* [Comparison of Autonomous + AI Agents 2025 vs Previous Generations] \\n* * [Most Advanced Autonomous AI + Agents 2025: Market Leaders] \\n* * [Human Workers vs Autonomous AI Agents: + Collaborative Future] \\n* * [Evolution from Reactive to Autonomous Systems] + \\n* [Future of Autonomous AI Agents: Trends and Predictions for 2025 and Beyond] + \\n* [How Autonomous AI Agents Are Shaping the Future] \\n* * [Top Trends in + Autonomous AI Agents 2025] \\n* * [What to Expect from Autonomous AI Agents + in the Future] \\n* * [Autonomous AI Agents in 2025 and Beyond: Technology Roadmap] + \\n* * [Challenges and Opportunities Ahead] \\n* [Geographic Trends and Regional + Variations in Autonomous AI Agent Adoption] \\n* [Factors Influencing Regional + Differences] \\n* * [Comparison of Regional Trends] \\n* * [Regional Market + Opportunities] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What are autonomous AI agents and how do they differ from regular AI?] + \\n* * [How can autonomous AI agents be used in business in 2025?] \\n* * [What + makes an AI agent truly autonomous?] \\n* * [What are the best examples of autonomous + AI agents available today?] \\n* * [How do I build autonomous AI agents for + my startup?] \\n* [Conclusion:] \\n* [Related Blogs] \\n## Share This Article\\n![Illustration + of an autonomous AI agent symbolizing the advancements and potential of AI agents + in 2025.] ## Introduction\\nAccording to recent research, the global autonomous + AI agents market is projected to reach[$9.9 billion in 2025] and is anticipated + to grow significantly to[$253.3 billion by 2034], registering a strong CAGR + of43.4%during the forecast period. This explosive growth is driven by rapid + enterprise adoption, continuous advancements in artificial intelligence, and + the expansion of automation across diverse industries. North America is expected + to command the largest market share in 2025, holding about 40.7% of the global + market.\\nThis comprehensive guide explores autonomous AI agents’ fundamentals, + applications, and 2025 developments, providing essential insights for businesses, + developers, and decision-makers navigating AI transformation.\\n## What Are + Autonomous AI Agents? Understanding the Fundamentals\\nAutonomous AI agents + are self-governing systems that operate independently without constant human + intervention, making decisions and taking actions to achieve specific goals + using machine learning and environmental awareness.\\n[Autonomous AI agents] + represent a significant leap forward from traditional AI systems. Unlike conventional + artificial intelligence that requires explicit programming for every scenario, + autonomous agents possess the capability to learn, adapt, and make independent + decisions based on their environment and objectives. These systems combine[machine + learning], natural language processing, and real-time data analysis to create + intelligent entities that can operate with minimal human oversight.\\n**For + example:**Learners today can[learn French with Langua’s AI platform], + which uses these same principles to personalize instruction, track progress, + and respond dynamically to the user\u2019s input mirroring how autonomous agents + behave in complex business environments.\\nThe key distinction lies in their + autonomy \u2013the ability to perceive their environment, process information, + make decisions, and execute actions without waiting for human commands. This + independence makes them particularly valuable for businesses seeking to automate + complex processes, improve operational efficiency, and provide consistent service + delivery around the clock.\\n#####\\nSummary: None\\n\\n\\nTitle: AI Agent Development + for Business Process Automation\\nURL: https://kodexolabs.com/ai-agent-development-business-automation/\\nID: + https://kodexolabs.com/ai-agent-development-business-automation/\\nScore: None\\nPublished + Date: 2025-09-04T00:00:00.000Z\\nAuthor: Syed Ali Hasan Shah\\nImage: https://kodexolabs.com/wp-content/uploads/2025/09/AI-Agent-Development-for-Business-Automation.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: AI Agent Development for Business Process Automation[Skip + to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI + Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI Integration] + \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] \\n* [Gen AI + Consulting] ### Product Designing\\n* [Product Designing] \\n### AI Development\\n* + [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI + Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] + \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] + \\n### Software Development\\n* [Software Development Services] \\n* [Custom + Product Development] \\n* [Software Consulting] \\n* [Mobile App Development] + \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* + [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting and + Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based Resource + Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance and + AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# AI Agent Development for Business Process Automation\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nSeptember 4, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nSeptember 4, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [Introduction] \\n3. [What is AI Agent Development for Business Process Automation?] + \\n* [Understanding Agentic AI vs Traditional Automation] \\n* * [Core Components + of Business Process AI Agents] \\n* * [The Evolution from Workflow Automation + to Intelligent Agents] \\n* [How to Develop AI Agents for Business Automation] + \\n* [Step-by-Step AI Agent Development Process] \\n* * [Essential AI Skills + and Technologies] \\n* * [Development Tools and Platforms Comparison] \\n* [Business + Process Applications and Use Cases] \\n* [Customer Service and Support Automation] + \\n* * [Supply Chain and Inventory Management] \\n* * [Financial Services and + Fraud Detection] \\n* * [Document Processing and Data Management] \\n* [Technology + Stack and Platform Selection] \\n* [Microsoft AI Agent Ecosystem] \\n* * [Google + Cloud AI Agent Solutions] \\n* * [Amazon Web Services AI Agent Tools] \\n* * + [Open Source and Hybrid Solutions] \\n* [Overcoming Development Challenges in + Agentic AI] \\n* [Data Privacy and Security Challenges] \\n* * [Performance + and Scalability Issues] \\n* * [AI Guardrails and Governance] \\n* * [Integration + and Interoperability Challenges] \\n* [Regional Adoption Patterns and Market + Trends] \\n* [Factors Influencing Regional Adoption] \\n* * [Market Maturity + Comparison] \\n* * [Sector-Specific Adoption Patterns] \\n* [Measuring Business + Value and ROI] \\n* [Key Performance Indicators for AI Agents] \\n* * [ROI Calculation + Framework] \\n* * [Industry-Specific Value Propositions] \\n* [How to Choose + an AI Agent Development Company] \\n* [Essential Evaluation Criteria] \\n* * + [Questions to Ask Potential Vendors] \\n* * [Red Flags and Warning Signs] \\n* + [Future Trends in AI Agent Development] \\n* [Emerging Technology Integration] + \\n* * [Next-Generation Agent Architectures] \\n* * [Industry Transformation + Predictions] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [How long does it take to develop a custom AI agent for business processes?] + \\n* * [What are the main security considerations for AI agents handling sensitive + business data?] \\n* * [How do AI agents integrate with existing enterprise + systems?] \\n* * [What is the typical ROI timeline for AI agent implementations?] + \\n* * [How do you ensure AI agents maintain accuracy and avoid errors in business + processes?] \\n* * [What industries benefit most from AI agent automation?] + \\n* [Conclusion] \\n* [Related Blogs] \\n## Share This Article\\n![AI agent + development illustration showing a robot analyzing data charts for business + process automation, ideal for enterprises looking to develop AI agents and leverage + agentic AI development for workflow automation.] ## Introduction\\nDid you know + that[69% of enterprises] are already implementing AI agents to automate complex + business processes, reducing operational costs by up to 40%? AI agent development + for business process automation represents the next frontier in digital transformation, + enabling organizations to create intelligent systems that work autonomously + while maintaining human oversight. This comprehensive guide explores how businesses + can leverage[agentic AI development] to streamline operations, enhance productivity, + and drive competitive advantage.\\nAI agent development for business process + automation transforms traditional workflows by creating intelligent systems + that autonomously handle complex tasks, reducing costs and improving efficiency + across enterprise operations.\\n## What is AI Agent Development for Business + Process Automation?\\nAI agent development involves creating intelligent software + systems that use machine learning (ML),[natural language processing (NLP)], + and autonomous decision-making to execute business processes. Unlike traditional + RPA (robotic process automation) which relies on rigid, rule-based scripts, + agentic AI systems adapt dynamically, handle unstructured data, and make context-aware + business decisions.\\nAI agent development for business process automation represents + a revolutionary approach to streamlining enterprise operations through intelligent + software systems. Unlike traditional automation tools that follow pre-programmed + rules, AI agents utilize[machine learning] and natural language processing to + make dynamic decisions and adapt to changing business conditions.\\n### Understanding + Agentic AI vs Traditional Automation\\nTraditional[robotic process automation + services] (RPA) follow rigid, rule-based workflows that break down when faced + with exceptions or variations. In contrast, agentic[AI systems demonstrate autonomous] + decision-making capabilities, learning from data patterns and user interactions + to improve performance over time. These intelligent agents can handle unstructured + data, understand context, and make complex business decisions without constant + human intervention.\\nAccording to 2024 research, organizations implementing + agentic AI report[30% faster process completion times] and 60% reduction in + manual error rates compared to traditional automation approaches.\\n### Core + Components of Business Process AI Agents\\n* **Natural Language Processing:**Enables + agents to understand and respond to human communication in context\\n* **Machine + Learning Algorithms:**Allow agents to learn from historical data and improve + decision-making accuracy\\n* **Integration Capabilities:**Connect\\nSummary: + None\\n\\n\\nTitle: Top Agentic AI Platforms in 2025: A Complete Guide for Businesses\\nURL: + https://kodexolabs.com/top-agentic-ai-platforms/\\nID: https://kodexolabs.com/top-agentic-ai-platforms/\\nScore: + None\\nPublished Date: 2025-10-07T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/10/Top-Agentic-AI-Platforms.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Top Agentic AI Platforms 2025 | Business Automation + Guide[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# Top Agentic AI Platforms in 2025: A Complete Guide for + Businesses\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nOctober 7, 2025\\nSyed Ali + Hasan Shah\\n[Agentic AI] \\nOctober 7, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Introduction:] \\n3. [What Are Agentic AI Platforms and + Why They Matter in 2025] \\n* [Understanding Agentic Systems vs Traditional + AI] \\n* * [Core Components of Agentic AI Platforms] \\n* * [Market Impact and + 2025 Projections] \\n* [Top Agentic AI Platforms for Business in 2025] \\n* + [Enterprise-Grade Platforms] \\n* * [Platform Comparison Matrix] \\n* * [Platform + Selection Criteria] \\n* [Best Agentic AI Platforms for Business Applications] + \\n* [Enterprise Workflow Automation] \\n* * [Customer Relationship Management + Enhancement] \\n* * [Operational Intelligence and Analytics] \\n* [Key Features + and Integration Capabilities of AI Agent Platforms] \\n* [What Are the Integration + Capabilities of AI Agent Platforms?] \\n* * [Core Technical Features] \\n* * + [Advanced Capabilities] \\n* [Platforms to Build AI Agents: Development and + Creation Tools] \\n* [What Is the Best Platform to Build AI Agents?] \\n* * + [Development Tools and Frameworks] \\n* * [Technical Implementation Considerations] + \\n* [Which AI Agent Platform Is Best for Small Businesses] \\n* [Which AI Agent + Platform Is Best for Small Businesses?] \\n* * [Cost-Effective Platform Options] + \\n* * [How Do AI Agent Platforms Help Businesses Scale?] \\n* [What Industries + Benefit Most from AI Agent Platforms] \\n* [What Industries Benefit Most from + AI Agent Platforms?] \\n* * [Customer Service and Support Applications] \\n* + * [Industry-Specific Use Cases] \\n* [Microsoft Ecosystem and Enterprise Integration] + \\n* [Microsoft Copilot Studio Platform Overview] \\n* * [Microsoft Azure Integration + Advantages] \\n* * [Enterprise Ecosystem Benefits] \\n* [Advanced Features and + Market Innovations] \\n* [Agent Marketplaces and Ecosystem Development] \\n* + [What Is Advanced Sentiment Analysis?] \\n* [Next-Generation Interaction Models] + \\n* * [2025 Market Trends and Predictions] \\n* [Implementation Strategy and + Best Practices] \\n* [Strategic Planning and Platform Selection] \\n* * [Deployment + Methodology and Phases] \\n* * [Success Factors and Key Performance Indicators] + \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [Does + OpenAI Have an Agentic AI Platform?] \\n* * [What Is the Best AI Agent Platform + for Specific Industries?] \\n* * [How Much Do AI Agent Platforms Cost for Small + Businesses?] \\n* * [What Are the Security Considerations for AI Agent Platforms?] + \\n* * [How Long Does It Take to Implement an AI Agent Platform?] \\n* * [Can + Agentic AI Platforms Integrate with Legacy Systems?] \\n* [Conclusion: Embracing + the Agentic AI Revolution] \\n* [Related Blogs] \\n## Share This Article\\n![Robot + sitting at a control desk with multiple screens, symbolizing top agentic AI + platforms in 2025 for businesses, automation and AI agent creation platforms.] + ## Introduction:\\nAre businesses ready for the autonomous AI revolution that’s + transforming enterprise operations in 2025? Top agentic AI platforms are enabling + companies to deploy intelligent agents that can make decisions, execute tasks, + and interact with customers independently, fundamentally changing how organizations + operate. This comprehensive guide explores the leading agentic AI platforms, + their capabilities, and strategic implementation approaches for modern businesses.\\nThis + blog explores top agentic AI platforms in 2025, offering businesses, developers, + and decision-makers practical insights into platform selection, implementation, + and strategic advantages across industries.\\n## What Are Agentic AI Platforms + and Why They Matter in 2025\\nAgentic AI platforms are autonomous systems that + enable AI agents to make independent decisions, execute tasks, and interact + with environments without constant human oversight, revolutionizing[business + automation capabilities].\\nThe evolution of agentic AI represents a fundamental + shift from[reactive automation to proactive intelligence]. Unlike traditional + AI tools that respond to commands, agentic systems demonstrate true autonomy + by making contextual decisions, learning from outcomes, and adapting strategies + in real-time. According to recent research, agentic AI platforms are projected + to improve business[productivity by 30% through 2035].\\n### Understanding Agentic + Systems vs Traditional AI\\nTraditional AI systems operate within predefined + parameters, executing specific tasks when triggered by human input or predetermined + conditions.[Agentic AI] systems, however, possess reasoning capabilities that + enable autonomous goal pursuit, dynamic problem-solving, and independent task + orchestration.\\n* **Reactive AI:**Responds to specific inputs with predetermined + outputs\\n* **Agentic AI:**Initiates actions based on environmental analysis + and goal optimization\\n* **Decision-making:**Evaluates multiple options and + selects optimal strategies autonomously\\n* **Learning adaptation:**Continuously + improves performance through experience accumulation\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, with + forecasts on trends to come. Join our community\\nSummary: None\\n\\n\\nTitle: + Top 10 AI Agents for Content Generation in 2025 - Kodexo Labs\\nURL: https://kodexolabs.com/top-ai-agents-content-generation/\\nID: + https://kodexolabs.com/top-ai-agents-content-generation/\\nScore: None\\nPublished + Date: 2025-09-04T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/09/Top-AI-Agents-for-Content-Generation.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Top 10 AI Agents for Content Generation in 2025[Skip + to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get A Free AI + Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI Integration] + \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] \\n* [Gen AI + Consulting] ### Product Designing\\n* [Product Designing] \\n### AI Development\\n* + [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] \\n* [AI + Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* [ML Development] + \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps Implementation] + \\n### Software Development\\n* [Software Development Services] \\n* [Custom + Product Development] \\n* [Software Consulting] \\n* [Mobile App Development] + \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] \\n* + [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get A Free + AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and Medical + Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor Systems + and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting and + Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based Resource + Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance and + AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# Top 10 AI Agents for Content Generation in 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nSeptember 4, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nSeptember 4, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. + [Introduction] \\n3. [What Are AI Agents for Content Generation?] \\n* [Understanding + Agentic AI in Content Creation] \\n* * [Key Components of AI-Powered Content + Agents] \\n* [How to Choose the Right AI Agent for Content Creation in 2025] + \\n* [Essential Evaluation Criteria] \\n* * [What Is the Best AI for Your Content + Needs?] \\n* [Top AI Writing Tools and Content Generators Ranked] \\n* [Ranking + Methodology] \\n* * [Top 10 AI Agents Detailed Analysis] \\n* [AI Tools for + Content Creation Across Different Formats] \\n* [Video Content Generation] \\n* + * [Text-Based Content Creation] \\n* * [Visual Content and Image Generation] + \\n* [Business Applications and Industry Use Cases] \\n* [Marketing and Content + Marketing Applications] \\n* * [Customer Service and Support Content] \\n* * + [Enterprise Integration Scenarios] \\n* [Technical Implementation and Automation + Tools] \\n* [Technical Architecture Requirements] \\n* * [Workflow Automation + Setup] \\n* * [Security and Compliance Considerations] \\n* [AI Agent Platforms + and Development Considerations] \\n* [Platform Selection Criteria] \\n* * [Development + and Customization Options] \\n* [Geographic Trends and Regional Variations] + \\n* [Factors Influencing Regional Differences] \\n* * [Comparison of Regional + Trends] \\n* [Security and Quality Control in AI Content Generation] \\n* [Content + Security Framework] \\n* * [Quality Assurance Processes] \\n* [Future Trends + and 2025 Predictions for AI Content Agents] \\n* [Emerging Technologies] \\n* + * [Market Predictions for 2025] \\n* [At a Glance: Key Takeaways] \\n* [Frequently + Asked Questions] \\n* [What are the best AI agents for content generation in + 2025?] \\n* * [How do AI content generators compare to traditional writing tools?] + \\n* * [Which AI agents create the most accurate content?] \\n* * [What is an + AI content writer and how does it work?] \\n* * [How can businesses integrate + AI agents into their content marketing workflows?] \\n* * [What security measures + are needed for enterprise AI content generation?] \\n* [Conclusion] \\n* [Related + Blogs] \\n## Share This Article\\n![Best AI writing tools and top AI agents + for content creation in 2025, futuristic illustration of artificial intelligence + software powering content generation.] ## Introduction\\nDid you know that[82% + of businesses] plan to integrate AI agents into their content workflows by 2025? + The landscape of artificial intelligence and content creation has evolved dramatically, + with AI agents now capable of producing human-quality content across multiple + formats. This comprehensive guide explores the top 10 AI agents for content + generation in 2025, helping businesses, developers, and content creators choose + the right tools for their specific needs.\\nThis blog explores the top 10 AI + agents transforming content generation in 2025, offering insights for businesses + seeking the best artificial intelligence solutions for their content marketing + and creation workflows.\\n## What Are AI Agents for Content Generation?\\nAI + agents for content generation are[autonomous AI systems] that use large language + models and natural language processing to create, optimize, and manage content + across multiple formats without constant human supervision.\\nAI agents for + content generation represent a revolutionary advancement in artificial intelligence + technology. Unlike traditional content creation tools, these systems operate + autonomously, making[intelligent decisions] about content strategy, tone, and + format based on predefined parameters and learning from user interactions.\\n### + Understanding Agentic AI in Content Creation\\nAgentic AI systems differ fundamentally + from conventional AI tools through their ability to perform complex, multi-step + tasks without continuous human guidance. These systems leverage advanced[machine + learning] algorithms and natural language processing to understand context, + audience preferences, and content objectives.\\nAccording to a 2024 report, + businesses using AI agents for content creation see[40% improvement] in content + production efficiency and 38% better audience engagement rates compared to traditional + methods.\\n#### What Makes AI Agents Different?\\n[AI agents] possess autonomous + decision-making capabilities, allowing them to adapt content strategies in real-time + based on performance metrics, audience feedback, and market trends without requiring + constant human intervention or reprogramming.\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, with + forecasts on trends to come. Join our community now!\\n### Key Components of + AI-Powered Content Agents\\n* **Large Language Models Integration:**Advanced + models like GPT-4, Claude, and Gemini power content understanding and generation\\n* + **Workflow Automation:**Seamless integration with existing content management + systems and publishing platforms\\n* **Multi-Format Generation:**Capability + to create text, video scripts, social media posts, and visual content descriptions\\n* + **Real-time Learning:**Continuous improvement through user feedback and performance + analysis|Component|Function|Business Impact|\\nNatural Language Processing|Content + understanding and generation|85% accuracy improvement|\\n\\nSummary: None\\n\\n\\nTitle: + Agentic RAG: Enhancing Retrieval-Augmented Generation with AI Agents\\nURL: + https://kodexolabs.com/agentic-rag-with-ai-agents/\\nID: https://kodexolabs.com/agentic-rag-with-ai-agents/\\nScore: + None\\nPublished Date: 2025-09-22T00:00:00.000Z\\nAuthor: \\nImage: https://kodexolabs.com/wp-content/uploads/2025/09/Enhancing-RAG-with-AI-Agents.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Agentic RAG: AI Agents Improve Retrieval-Augmented + Generation[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] + [Get A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen + AI Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# Agentic RAG: Enhancing Retrieval-Augmented Generation + with AI Agents\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nSeptember 22, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nSeptember 22, 2025\\nTable Of Contents\\n1. + [Share This Article] \\n2. [The Future of Intelligent Information Retrieval] + \\n3. [What is Agentic RAG in AI? Understanding Core Concepts] \\n* [Defining + Agentic Retrieval-Augmented Generation] \\n* * [Key Components of Agentic RAG + Architecture] \\n* [How Agentic RAG Improves Retrieval-Augmented Generation + Performance] \\n* [Intelligent Query Formulation and Refinement] \\n* * [Performance + Metrics and Benchmarks] \\n* [AI Agent-Powered RAG Frameworks: Technical Implementation] + \\n* [System Architecture Components] \\n* * [Implementation Steps and Best + Practices] \\n* [Enterprise Integration: Can Agentic RAG Work with Existing + AI Systems?] \\n* [Enterprise Data Source Compatibility] \\n* * [Implementation + Timeline and Considerations] \\n* [Industry Applications: Transforming Sectors + with Agentic RAG] \\n* [Healthcare and Medical Research Applications] \\n* * + [Legal and Compliance Applications] \\n* [Advanced Multi-Agent Collaboration + in RAG Systems] \\n* [Specialized Agent Architectures] \\n* * [Coordination + Mechanisms and Communication Protocols] \\n* [User Experience and Business Value + Optimization] \\n* [Performance Optimization Strategies] \\n* * [Data Privacy + and Security Implementation] \\n* [Technology Stack: From Vector Stores to Large + Language Models] \\n* [Essential Development Frameworks and Tools] \\n* * [Vector + Database Selection and Optimization] \\n* [Future Trends and Emerging Applications] + \\n* [Next-Generation Capabilities and Features] \\n* * [Market Trends and Investment + Patterns] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What is the difference between traditional RAG and agentic RAG?] \\n* + * [How can agentic RAG improve accuracy in enterprise applications?] \\n* * + [Can agentic RAG integrate with existing customer support systems?] \\n* * [What + programming languages and tools are needed for agentic RAG implementation?] + \\n* * [How does multi-agent collaboration work in RAG systems?] \\n* * [What + are the main benefits of implementing agentic RAG for businesses?] \\n* [Conclusion: + Transforming Information Systems for the Future] \\n* [Related Blogs] \\n## + Share This Article\\n![Illustration of an AI agent enhancing retrieval-augmented + generation (RAG) with autonomous decision-making, representing Agentic AI with + RAG to improve accuracy and performance.] ## The Future of Intelligent Information + Retrieval\\nWhat if AI systems could not just retrieve information but intelligently + reason about what they find? Agentic RAG represents the next evolution in retrieval-augmented + generation, combining AI agents with traditional RAG systems to create more + intelligent, autonomous information processing capabilities. This comprehensive + guide explores how businesses can leverage[agentic AI] with RAG to transform + their knowledge management and[content generation] processes.\\nThis blog explores + Agentic RAG’s revolutionary approach to enhancing retrieval-augmented + generation with[AI agents], offering practical insights for developers, businesses, + and IT professionals seeking advanced[artificial intelligence] solutions.\\n## + What is Agentic RAG in AI? Understanding Core Concepts\\nAgentic RAG combines[autonomous + AI agents] with retrieval-augmented generation to create intelligent systems + that can independently query, analyze, and synthesize information from knowledge + bases, delivering[50% higher accuracy] than traditional RAG approaches.\\nAgentic + RAG represents a paradigm shift in how AI systems process and retrieve information. + Unlike traditional RAG systems that follow predetermined retrieval patterns, + AI agents in agentic RAG make autonomous decisions about when, what, and how + to retrieve information based on contextual understanding.\\n### Defining Agentic + Retrieval-Augmented Generation\\nAgentic RAG integrates autonomous AI agents + into traditional retrieval-augmented generation systems, enabling intelligent + decision-making about information retrieval strategies. According to 2024 AI + Trends Report, agentic systems demonstrate superior performance in complex, + multi-domain knowledge retrieval scenarios where traditional approaches often + fail.\\nThe system architecture incorporates planning modules that analyze user + queries, execution agents that perform retrieval operations, and evaluation + mechanisms that assess result quality. This multi-layered approach enables dynamic + adaptation to user needs and context changes.\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, with + forecasts on trends to come. Join our community now!\\n#### What Makes Agentic + RAG Different?\\nAgentic RAG systems possess autonomous reasoning capabilities + that allow them to modify retrieval strategies mid-process, unlike traditional + RAG systems that follow fixed patterns regardless of context or result quality.\\n### + Key Components of Agentic RAG Architecture\\n* **Planning Agent:**Analyzes user + queries and develops retrieval strategies\\n* **Execution Agent:**Performs actual + information retrieval operations\\n* **Memory System:**Maintains context across + multiple interactions\\n* **Evaluation Module:**Assesses and improves retrieval + quality continuously|Component|Traditional RAG|Agentic RAG|\\nQuery Processing|Static + patterns|Dynamic analysis|\\nRetrieval Strategy|Predetermined|Adaptive|\\nContext + Awareness|Limited|Comprehensive|\\n\\nSummary: None\\n\\n\\nTitle: Build an + AI Agent in 2025 | Cost, Benefits & Real Use Cases\\nURL: https://kodexolabs.com/how-to-build-an-ai-agent/\\nID: + https://kodexolabs.com/how-to-build-an-ai-agent/\\nScore: None\\nPublished Date: + 2025-08-05T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/08/How-to-Build-an-AI-Agent-in-2025-Cost-Benefits-and-Real-World-Examples.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Build an AI Agent in 2025 | Cost, Benefits & + Real Use Cases[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] + [Get A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen + AI Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# How to Build an AI Agent in 2025: Cost, Benefits & + Real-World Examples\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nAugust 5, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nAugust 5, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [What You Need to Know About Building AI Agents] \\n3. [What + Is an AI Agent and Why Build One in 2025?] \\n* [What Makes an AI Agent Different + from Traditional AI?] \\n* * [Key Components of Modern AI Agents] \\n* [Step-by-Step + Guide: How to Build an AI Agent] \\n* [Step 1: Requirements Analysis and Planning] + \\n* * [Step 2: Data Collection and Preparation] \\n* * [Step 3: Model Development + and Training] \\n* * [A Practical Guide to Building AI Agents: Implementation + Checklist] \\n* [AI Agent Builder Platforms and Tools in 2025] \\n* [Best AI + Agent Builder Platforms for Different Needs] \\n* * [Custom AI Agent Builder + vs. Platform Solutions] \\n* * [Key Features to Evaluate in AI Agents Builder + Platforms] \\n* [Cost Analysis: How Much Does It Cost to Build an AI Agent?] + \\n* [How Much Does It Cost to Build an AI Agent: Detailed Breakdown] \\n* * + [AI Agent Development Costs by Complexity Level] \\n* * [How Do AI Agents Contribute + to Cost Reduction in Businesses?] \\n* [Benefits of Agentic AI: Transforming + Business Operations] \\n* [Core Benefits of Using AI Agents] \\n* * [Benefits + of Agents in AI-Driven Industries] \\n* * [Measurable Business Impact] \\n* + [Real-World Examples of AI Agents Across Industries] \\n* [What Is an Agentic + AI Example in Customer Service?] \\n* * [Examples of AI Agents in Healthcare + and Medical Applications] \\n* * [Transportation and Smart City Examples] \\n* + * [Industrial and Manufacturing Applications] \\n* [What Industries Are Benefiting + Most from Agentic AI?] \\n* [What Industries Are Currently Benefiting from Agentic + AI?] \\n* * [Manufacturing and Industrial Applications] \\n* * [Emerging Industry + Applications] \\n* * [What Industries Are Seeing the Most Benefits from AI Agents?] + \\n* [Future Trends and Evolution of AI Agents] \\n* [Next-Generation AI Agent + Capabilities] \\n* * [Connected Ecosystem Integration] \\n* * [Industry-Specific + Future Applications] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked + Questions] \\n* [What is an AI agent example?] \\n* * [How much does an AI agent + cost?] \\n* * [How to build a AI agent?] \\n* * [What industries are benefiting + the most from agentic AI?] \\n* * [What are examples of agentic AI?] \\n* * + [How do AI agents contribute to cost reduction in businesses?] \\n* [Conclusion:] + \\n* [Related Blogs] \\n## Share This Article\\n![A glowing 3D AI agent robot + hovering on a digital platform, representing futuristic AI agent builders, no-code + AI tools and autonomous decision-making in 2025.] ## What You Need to Know About + Building AI Agents\\nDid you know that[70% of businesses plan to implement AI + agents by 2025] to automate complex workflows and enhance customer experiences? + Building an AI agent has evolved from a technical luxury to a business necessity, + with organizations leveraging agentic AI to streamline operations and drive + innovation. This comprehensive guide explores how to build an AI agent in 2025, + covering essential costs, transformative benefits, and real-world examples across + industries.\\n[AI agents] represent the next evolution in business automation, + offering autonomous decision-making capabilities that transform how organizations + operate. Unlike traditional AI systems that simply respond to inputs, AI agents + perceive their environment, analyze data, make decisions, and execute actions + independently. The growing demand for intelligent automation has made[AI development] + a strategic priority for businesses seeking competitive advantages in 2025.\\nModern + AI agents combine Machine Learning algorithms with Natural Language Processing + to create sophisticated systems capable of handling complex business processes. + From customer service automation to predictive maintenance in manufacturing, + these intelligent systems deliver measurable improvements in efficiency, accuracy, + and cost reduction. Organizations implementing AI agents report 25-40% operational + savings and[50-70% faster task completion rates].\\nThis comprehensive guide + addresses the critical questions businesses face when considering AI agent development: + implementation strategies, cost structures, measurable benefits, and proven + real-world applications across industries. Whether you’re exploring no-code + solutions or custom development approaches, understanding these fundamentals + ensures successful AI agent deployment that drives meaningful business results.\\n## + What Is an AI Agent and Why Build One in 2025?\\nAn AI agent is an autonomous + system that perceives its environment, makes decisions, and takes actions to + achieve specific goals, becoming essential for business automation and intelligent + task execution in 2025.\\nAI agents differ fundamentally from traditional automation + tools through their ability to learn, adapt, and make independent decisions + based on changing conditions. These systems combine artificial intelligence + technologies with real-time data processing to create intelligent solutions + that continuously improve performance without human intervention. In 2025, businesses + are prioritizing AI agent development as a strategic investment in operational + efficiency and competitive positioning.\\n##### Stay Updated\u2014Join Our Newsletter!\\n###### + Newsletter\\nDon\u2019t miss on the latest updates in the world of AI. We dispatch + custom reports and newsletters every week, with forecasts on trends to come. + Join our community now!\\n### What Makes an AI Agent Different from Traditional + AI?\\nTraditional AI systems require specific\\nSummary: None\\n\\n\\nTitle: + Top Agentic AI Strategies to Optimize SaaS Workflows - Rolustech\\nURL: https://www.rolustech.com/blog/agentic-ai-saas-workflow-automation\\nID: + https://www.rolustech.com/blog/agentic-ai-saas-workflow-automation\\nScore: + None\\nPublished Date: 2025-12-03T00:00:00.000Z\\nAuthor: Sarah Meyers\\nImage: + https://www.rolustech.com/wp-content/uploads/2025/12/Blog-Banner-for-Rolustech-51-1.jpg\\nFavicon: + https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\\nExtras: + None\\nSubpages: None\\nText: Top Agentic AI Strategies to Optimize SaaS Workflows\\n[] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* [Database Migration Services] \\n* + [Implementation Services] \\n* [Comprehensive Training Services] \\n* [Support + & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] \\n* + [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization and + Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting + Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry + Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration + Solutions] \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] + \\n* [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] + \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n**\\nContact us\\n[] + [] \\n# Top Ways Agentic AI Can Automate and Optimize Your SaaS Workflow\\n* + [Your Partner in CRM, Custom Software & AI Solutions] \\n* [Blog] \\n* Top + Ways Agentic AI Can Automate and Optimize Your SaaS Workflow\\n* **December + 3, 2025\\n* **By[Sarah Meyers] \\n* **[Blog] \\n## What Is Agentic AI and Why + It Matters for SaaS Businesses\\nAgentic[AI] refers to intelligent software + agents that act autonomously in business workflows.In SaaS, it can reduce manual + tasks, improve efficiency, and boost decision-making.\\nCompanies using AI in + SaaS US gain faster insights and higher operational productivity.\\n## How Agentic + AI Automates Complex SaaS Workflows\\n[Agentic AI] can execute repetitive tasks, + monitor processes, and dynamically adjust actions.It integrates with[CRM], billing, + and support systems to automate end-to-end workflows.Automation reduces errors, + accelerates delivery, and frees teams to focus on strategic tasks.\\n## Key + Areas Where Agentic AI Delivers the Most Impact\\nAI-powered business automation + US excels in onboarding, customer support, and analytics.It optimizes cross-team + collaboration and internal operations with minimal human intervention.\\nRevenue + operations, product experiences, and marketing workflows also benefit from intelligent + agents.\\n## Automating Customer Onboarding and Support With Software Agents\\nSoftware + agents handle sign-ups, guide users, and provide instant answers to queries.AI + software agents US enable self-service, reducing support tickets and response + times.\\nPersonalized onboarding flows improve retention and customer satisfaction + in SaaS products.\\n## Optimizing Internal Operations and Cross-Team Collaboration\\nAI + workflow optimization US streamlines approvals, notifications, and task assignments.Teams + get real-time insights, enabling faster and more informed decisions.\\nCollaboration + improves across sales, support, and product teams without extra manual effort.\\n## + Agentic AI for Revenue Operations: Billing, Renewals, and Upsells\\nBilling + errors and delayed renewals are reduced with intelligent automation.Intelligent[SaaS] + solutions track usage, trigger alerts, and automatically recommend upsells.\\nRevenue + teams gain predictable cash flow and better customer lifecycle management.\\n## + Real-World Examples of Agentic AI in High-Growth SaaS Companies\\nThis section + demonstrates practical adoption in the industry:\\n* Automation use cases: Leading + SaaS companies in the US automate onboarding, support, and analytics using intelligent + agents.\\n* Examples: Platforms like Zendesk and HubSpot deploy agents to optimize + workflows, ensuring tasks are completed faster and with fewer errors.\\n* Benefits + observed: Early adopters report higher customer satisfaction, reduced operational + costs, and quicker decision-making.\\nTakeaway: These examples prove that Agentic + AI isn\u2019t just theoretical, it delivers measurable business value in real + SaaS environments.\\n## Implementation Roadmap: How to Add Agentic AI to Your + SaaS Stack\\nThis section explains the step-by-step approach for adopting Agentic + AI:\\n1. Start small: Pilot projects in areas like customer support or internal + operations are low-risk starting points.\\n2. Gradual integration: Integrate + US AI software agents\\nSummary: None\\n\\n\\nTitle: The Rise of Agentic AI + : Applications, Benefits, and Real-World Use Cases\\nURL: https://www.rolustech.com/blog/the-rise-of-agentic-ai-applications-benefits-and-real-world-use-cases\\nID: + https://www.rolustech.com/blog/the-rise-of-agentic-ai-applications-benefits-and-real-world-use-cases\\nScore: + None\\nPublished Date: 2025-09-24T00:00:00.000Z\\nAuthor: Sarah Meyers\\nImage: + https://www.rolustech.com/wp-content/uploads/2025/09/Blog-Banner-for-Rolustech-27.png\\nFavicon: + https://www.rolustech.com/wp-content/uploads/2024/11/Vector-5.webp\\nExtras: + None\\nSubpages: None\\nText: The Rise of Agentic AI: Benefits and Applications\\n[![Link.png]] + \\n* [Services] \\n* [Salesforce] \\n* [Customization and Configuration Solutions] + \\n* [Salesforce Integration Services] \\n* [Database Migration Services] \\n* + [Implementation Services] \\n* [Comprehensive Training Services] \\n* [Support + & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting Services] \\n* + [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry Vertical + Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration Solutions] + \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] \\n* + [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] \\n* + [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n[CONTACT] \\n**\\n**\\n[×] + \\nExplore Rolustech\\n* [Services] \\n* [Salesforce] \\n* [Customization and + Configuration Solutions] \\n* [Salesforce Integration Services] \\n* [Database + Migration Services] \\n* [Implementation Services] \\n* [Comprehensive Training + Services] \\n* [Support & Maintenance] \\n* [Lightning Solutions] \\n* [Consulting + Services] \\n* [Cloud Solutions] \\n* [Prices, Editions and Plans] \\n* [Industry + Vertical Solutions] \\n* [SugarCRM] \\n* [Customization & Configuration + Solutions] \\n* [Integration Services] \\n* [SugarCRM Database Migration Services] + \\n* [Support & Maintenance] \\n* [Development Services] \\n* [Plugins] + \\n* [License] \\n* [Sugarcrm Certified Developers] \\n* [SugarCRM Custom Fields + Creation Services] \\n* [Sugar Upgrade Packages] \\n* [EBOOK: A Complete Guide + to SugarCRM] \\n* [Artificial Intelligence Services] \\n* [AI Agents] \\n* [Natural + Language Processing] \\n* [Retrieval Augmented Generation] \\n* [Agentic AI + Development] \\n* [AI PoC & MVP] \\n* [Generative AI Solutions] \\n* [Conversational + AI & Chatbots] \\n* [AI Optimization] \\n* [AI Implementation] \\n* [AI + Industry Verticals] \\n* [Retail, Events, and CX AI Agents] \\n* [SaaS and Subscription + Business AI Agents] \\n* [Legal and Compliance AI Agents] \\n* [Financial AI + Agents] \\n* [Monday CRM Services] \\n* [Shopify Services] \\n* [Website Development + Solutions] \\n* [Microsoft Dynamics Services] \\n* [Microsoft Dynamics Integration] + \\n* [Microsoft Dynamics Data Migration] \\n* [Microsoft Dynamics Consultancy + Service] \\n* [Microsoft Dynamics Support and Maintenance] \\n* [Microsoft Dynamics + 365 Training] \\n* [HubSpot Services] \\n* [HubSpot CMS Customization Services] + \\n* [HubSpot Training Service] \\n* [HubSpot CRM Consulting Service] \\n* [HubSpot + Integration Service] \\n* [HubSpot CRM Implementation Services] \\n* [Odoo CRM] + \\n* [Full Stack Development] \\n* [Full Stack Web & Mobile App Development] + \\n* [Full Stack Security & Compliance Services] \\n* [Full Stack Migration + & Porting Services] \\n* [Full Stack Web Hosting Services] \\n* [Full Stack + E-Commerce Solutions] \\n* [Full Stack API & Integration Services] \\n* + [Full Stack Custom Development] \\n* [Full Stack Data Dashboard Development + Services] \\n* [Full Stack Enterprise Solutions] \\n* [Full Stack Cloud Support + Services] \\n* [Product Development] \\n* [Product Design] \\n* [Product Development + Implementation Services] \\n* [Product Support & Maintenance] \\n* [Machine + Learning Services] \\n* [Mobile Application Development] \\n* [X2CRM] \\n* [Web + Development] \\n* Resources\\n* [Blog] \\n* [Guides & More] \\n* [Case Studies] + \\n* [About] \\n* [Careers] \\n* [Our Team] \\n* [Support] \\n**\\nContact us\\n[![Rolustech]] + [![Rolustech]] \\n# The Rise of Agentic AI : Applications, Benefits, and Real-World + Use Cases\\n* [Your Partner in CRM, Custom Software & AI Solutions] \\n* + [Blog] \\n* The Rise of Agentic AI : Applications, Benefits, and Real-World + Use Cases\\n![Blog Banner for Rolustech (27)] \\n* **September 24, 2025\\n* + **By[Sarah Meyers] \\n* **[Blog] \\nThe future of artificial intelligence is + here, and it\u2019s called[agentic AI]. Unlike traditional AI models that only + process information, agentic AI systems can plan, act, and learn independently.\\nThis + new wave of intelligence is designed to operate with autonomy. Autonomous agentic + AI is not just a tool, it\u2019s a decision-maker. It handles tasks, adjusts + strategies, and communicates with other systems in real-time.\\nBusinesses worldwide + are exploring agentic AI applications. From finance to healthcare, companies + are discovering how this technology transforms operations. The future of agentic + AI is filled with possibilities, and it\u2019s reshaping how work gets done.\\n## + Why Agentic AI Matters for Businesses\\nWhy is agentic AI gaining so much attention + in 2025? The reason is simple impact.\\nCompanies are moving beyond basic automation. + Agentic AI systems bring autonomy, adaptability, and intelligence to workflows.\\nEfficiency + is another factor. Autonomous agentic AI completes tasks faster and with fewer + errors. It also scales easily, handling multiple processes at once.\\nThe business + case is clear: cost savings, increased productivity, and smarter decision-making. + That\u2019s why many executives view the agentic AI framework as essential, + not optional.\\nFor organizations wanting to stay competitive, adopting agentic + AI applications is no longer a futuristic idea, it\u2019s a necessity.\\n![Agentic + AI] \\n## What Exactly Is Agentic AI?\\nAt its core, agentic[AI] is a new model + of intelligence designed to act independently.\\nUnlike traditional AI that + relies on constant instructions, autonomous agentic AI sets goals, adapts to + changes, and executes tasks without constant oversight.\\nIt combines machine + learning, natural language processing, and reasoning. This enables agentic AI + systems to make decisions at scale.\\nKey agentic AI applications include:\\n* + Customer service automation with adaptive responses\\n* [Financial] analysis + and fraud detection\\n* Supply chain monitoring with predictive adjustments\\n* + Personalized healthcare recommendations\\nThe agentic AI framework ensures flexibility, + scalability, and integration across industries. That\u2019s why it\u2019s becoming + central to the future of agentic AI.\\n## What\u2019s New with Agentic AI in + 2025\\nSo, what\u2019s different about agentic AI systems today compared to + earlier AI?\\n**First**, autonomy has advanced. Autonomous agentic AI no longer + waits for instructions, it identifies problems and solves them.\\n**Second**, + integration is seamless. Modern agentic AI applications seamlessly connect to[CRM] + s, ERPs, and cloud platforms.\\n**Third**, reasoning has improved. With the + agentic AI framework, systems not only analyze but also explain their decisions.\\n**Finally**, + collaboration is real. Agentic AI systems can communicate with each other, creating + networks\\nSummary: None\\n\\n\\nTitle: What Is Model Context Protocol (MCP) + and Why It\u2019s the Future of AI Context Management\\nURL: https://kodexolabs.com/what-is-model-context-protocol-mcp/\\nID: + https://kodexolabs.com/what-is-model-context-protocol-mcp/\\nScore: None\\nPublished + Date: 2025-07-15T00:00:00.000Z\\nAuthor: \\nImage: https://kodexolabs.com/wp-content/uploads/2025/07/Model-Context-Protocol-MCP.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: What Is Model Context Protocol (MCP) | How it + Works[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# What Is Model Context Protocol (MCP) and Why It\u2019s + the Future of AI Context Management\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly + 22, 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 22, 2025\\nTable Of Contents\\n1. + [Share This Article] \\n2. [What Is a Model Context Protocol in Simple Terms?] + \\n* [What Does MCP Mean in AI Ecosystems?] \\n* * [What Is MCP in Context of + AI Models and Intelligent Tools?] \\n* [Stay Updated\u2014Join Our Newsletter!] + \\n* [Why Model Context Protocol Matters] \\n* * [The Evidence: Authentic Data + & Adoption Metrics] \\n* * [Summary] \\n* [Anthropic Model Context Protocol: + Origins and Philosophy] \\n* [The Evolution of the Anthropic Model Context Protocol] + \\n* [Struggling with Siloed AI and Complex Integrations? Start with MCP Today!] + \\n* [Why Anthropic Introduced Model Context Protocol to Solve Tool Integration] + \\n* * [Open-source Vision for Universal Context Access] \\n* * [Anthropic vs. + OpenAI: Contrasting Protocol Philosophies] \\n* * [Why Anthropic\u2019s Philosophy + Matters] \\n* [Model Context Protocol Overview for Developers and Teams] \\n* + [Model Context Protocol Explained: Technical and Functional Overview] \\n* * + [A Practical Model Context Protocol Overview for AI Engineers] \\n* * [Developer + Workflows with MCP] \\n* * [Core Features in Table] \\n* * [Why Teams Should + Use MCP] \\n* * [Real Data Points & Adoption] \\n* * [Key Takeaways for + Practitioners] \\n* [How Does Model Context Protocol Work?] \\n* [How Model + Context Protocol Works in Agent-to-Tool Interactions] \\n* * [Client\u2013Server + Lifecycle: Request, Discovery, Invocation, and Tear-Down] \\n* * [Message Format + & Data Transport] \\n* * [Tool Discovery & Capability Handling] \\n* + * [Security Mechanisms Built into MCP] \\n* * [Real-World Implementation: Simple + Stock MCP Server] \\n* * [Why Understanding \u201CHow MCP Works\u201D Matters] + \\n* * [Summary] \\n* [Model Context Protocol Servers: Infrastructure and Deployment] + \\n* [What Is an MCP Server in AI Workflows?] \\n* * [Common Architectures for + Model Context Protocol Servers] \\n* * [Setting Up a Secure, Scalable MCP Server + Backend] \\n* * [Deployment Example: FastAPI MCP Server] \\n* * [Ensuring Secure + Operations] \\n* * [Why Model Context Protocol Servers Matter] \\n* * [Data + Snapshot] \\n* * [Summary] \\n* [MCP in Agentic AI: Building Autonomous Systems] + \\n* [The Role of MCP in Agentic AI Design] \\n* * [What is MCP in AI Agents + \u2014Real Use Case] \\n* * [MCP in AI Agents vs Prompt-Based Agents] \\n* * + [Industry Adoption & Development] \\n* * [Why Agentic MCP Matters] \\n* + * [Summary] \\n* [Real-World Integrations: n8n, FastAPI, and OpenAI MCP Setups] + \\n* [n8n MCP Integration: Visual Automation Meets AI Tools] \\n* * [MCP Server + n8n Integration: Building Server-Side Tools] \\n* * [FastAPI MCP Integration + for Python Microservices] \\n* * [OpenAI MCP Integration: Enterprise-Grade Pipelines] + \\n* * [Integration Comparison Table] \\n* * [Key Takeaways] \\n* [MCP AI Integration: + Benefits, Standards, and Use Cases] \\n* [MCP AI Integration Benefits: Real + Advantages for Teams] \\n* * [MCP AI Integration Standard: Unified Approach + Across Tools] \\n* * [MCP AI Integration Use Cases: Real-World Applications] + \\n* * [Comparison Table: MCP vs Traditional Connectors] \\n* * [Why These Use + Cases Matter] \\n* * [Summary] \\n* [Business Opportunities with Model Context + Protocol] \\n* [Unlocking Model Context Protocol Business Opportunities] \\n* + * [New Markets, Products & Platforms Enabled by MCP] \\n* * [How Startups + Can Monetize MCP Tooling] \\n* * [Platform Strategy Based on MCP] \\n* * [Financial + Model & ROI] \\n* * [Why These Opportunities Matter] \\n* * [Key Takeaways] + \\n* [Protocol Comparisons: MCP vs the World] \\n* [LangChain vs MCP: Orchestration + vs Protocol] \\n* * [MCP vs RAG: Dynamic Memory vs Retrieval Aggregation] \\n* + * [MCP vs API: Standardization vs Custom Integration] \\n* * [ACP vs MCP: Competing + Context Protocols] \\n* * [MCP vs Agents: Protocol vs Full-Stack AI Systems] + \\n* * [MCP vs Code Integration: Developer Local vs Hosted Protocols] \\n* * + [MCP vs CMC / ICP / MTP: Adjacent Standards Comparison] \\n* * [Broader Look: + MCP vs Other AI Integration Protocols] \\n* * [Why These Comparisons Matter] + \\n* [The Importance of MCP in AI Advancements] \\n* [Why the Importance of + MCP in AI Advancements Cannot Be Ignored] \\n* * [Enhancing LLM Reasoning with + Real-Time Tools] \\n* * [Architecting Next-Gen AI Systems with MCP] \\n* * [MCP\u2019s + Role in Agentic Architectures] \\n* * [Broader Ecosystem Effects] \\n* * [Summary: + MCP Defines the Next AI Frontier] \\n* [Final Thoughts: Is MCP the Future of + AI Infrastructure?] \\n* [Where MCP Fits in the Future of Intelligent Systems] + \\n* * [Summary of Benefits & Trade-Offs] \\n* * [Strategic Considerations] + \\n* * [Getting Started Checklist] \\n* * [Final Verdict: A Protocol Built for + Progress] \\n* [Frequently Asked Questions (FAQs)]\\nSummary: None\\n\\nResolved + Search Type: neural\\nCostDollars: total=0.015\\n - search: {'neural': 0.005}\\n + \ - contents: {'text': 0.01}\"},{\"role\":\"tool\",\"tool_call_id\":\"call_U18ICQiGN1LaBxLMacpzZJJL\",\"name\":\"exa_search_tool\",\"content\":\"Title: + 'AI agents' promise to arrange your finances, do your taxes, book ...\\nURL: + https://theconversation.com/ai-agents-promise-to-arrange-your-finances-do-your-taxes-book-your-holidays-and-put-us-all-at-risk-247021\\nID: + https://theconversation.com/ai-agents-promise-to-arrange-your-finances-do-your-taxes-book-your-holidays-and-put-us-all-at-risk-247021\\nScore: + None\\nPublished Date: 2025-01-15T00:00:00.000Z\\nAuthor: Uri Gal\\nImage: https://images.theconversation.com/files/642240/original/file-20250114-15-zh5e84.png?ixlib=rb-4.1.0&rect=0%2C171%2C1400%2C700&q=45&auto=format&w=1356&h=668&fit=crop\\nFavicon: + https://cdn.theconversation.com/static/tc/logos/web-app-logo-192x192-2d05bdd6de6328146de80245d4685946.png\\nExtras: + None\\nSubpages: None\\nText: \u2018AI agents\u2019 promise to arrange your + finances, do your taxes, book your holidays \u2013and put us all at risk![] + \\n[] [] \\n[![The Conversation]] \\nL\u2019expertise universitaire, l\u2019exigence + journalistique\\n![Collage of an office worker with various digital effects + overlaid.] \\n[Sergii Gnatiuk/Shutterstock] \\n# **\u2018AI agents\u2019 promise + to arrange your finances, do your taxes, book your holidays \u2013and put us + all atrisk**\\nPubli\xE9: 15 janvier 2025, 20:11 CET\\n[****Uri Gal,*University + of Sydney*] \\n### Auteur\\n1. [![] Uri Gal] \\nProfessor in Business Information + Systems, University of Sydney\\n### D\xE9claration d\u2019int\xE9r\xEAts\\nUri + Gal ne travaille pas, ne conseille pas, ne poss\xE8de pas de parts, ne re\xE7oit + pas de fonds d'une organisation qui pourrait tirer profit de cet article, + et n'a d\xE9clar\xE9 aucune autre affiliation que son organisme de recherche.\\n### + Partenaires\\n[] \\n[University of Sydney] apporte un financement en tant que + membre adh\xE9rent de The\_Conversation AU.\\n[Voir les partenaires] de The\_Conversation + France\\n### DOI\\n[https://doi.org/10.64628/AA.q9939e443] \\nhttps://theconversation.com/ai-agents-promise-to-arrange-your-finances-do-your-taxes-book-your-holidays-and-put-us-all-at-risk-247021\\nhttps://theconversation.com/ai-agents-promise-to-arrange-your-finances-do-your-taxes-book-your-holidays-and-put-us-all-at-risk-247021\\nLien + copi\xE9\\nPartager\\nShare article\\nCopy link[Partager par e-mail] \\n[Bluesky] + [Facebook] [WhatsApp] [Messenger] [Linkedin] [X (anciennement Twitter)] \\nPrint + article\\nOver the past two years, generative artificial intelligence (AI) has + captivated public attention. This year signals the beginning of a new phase: + the rise of AI agents.\\nAI agents are autonomous systems that can make decisions + and take actions on our behalf without direct human input. The vision is that + these agents will redefine work and daily life by handling complex tasks for + us. They could negotiate contracts, manage our finances, or book our travel.\\nSalesforce + chief executive Marc Benioff has said he aims to deploy a[billion AI agents] + within a year. Meanwhile Meta chief Mark Zuckerberg[predicts] AI agents will + soon outnumber the global human population.\\nAs companies race to deploy AI + agents, questions about their societal impact, ethical boundaries and long-term + consequences grow more urgent. We stand on the edge of a technological frontier + with the power to redefine the fabric of our lives.\\nHow will these systems + transform our work and our decision-making? And what safeguards do we need to + ensure they serve humanity\u2019s best interests?\\n## AI agents take the control + away\\nCurrent generative AI systems react to user input, such as prompts. By + contrast, AI agents act autonomously within broad parameters. They operate with + unprecedented levels of freedom \u2013they can negotiate, make judgement calls, + and orchestrate complex interactions with other systems. This goes far beyond + simple command\u2013response exchanges like those you might have with ChatGPT.\\n##### + For instance, imagine using a personal \u201CAI financial advisor\u201D agent + to buy life insurance. The agent would analyse your financial situation, health + data and family needs while simultaneously negotiating with multiple insurance + companies\u2019 AI agents.\\nIt would also need to coordinate with several other + AI systems: your medical records\u2019 AI for health information, and your bank\u2019s + AI systems for making payments.\\nThe use of such an agent promises to reduce + manual effort for you, but it also introduces significant risks.\\nThe AI might + be outmanoeuvred by more advanced insurance company AI agents during negotiations, + leading to higher premiums. Privacy concerns arise as your sensitive medical + and financial information flows between multiple systems.\\nThe complexity of + these interactions can also result in opaque decisions. It might be difficult + to trace how various AI agents influence the final insurance policy recommendation. + And if errors occur, it could be hard to know which part of the system to hold + accountable.\\nPerhaps most crucially, this system risks diminishing human agency. + When AI interactions grow too complex to comprehend or control, individuals + may struggle to intervene in or even fully understand their insurance arrangements.\\n[![Embedded + YouTube video]] \\n## A tangle of ethical and practical challenges\\nThe insurance + agent scenario above is not yet fully realised. But sophisticated AI agents + are rapidly coming onto the market.\\nSalesforce and Microsoft have already + incorporated AI agents into some of their corporate products, such as[Copilot + Actions]. Google has been gearing up for the release of personal AI agents since + announcing its[latest AI model, Gemini 2.0]. OpenAI is also expected to release + a[personal AI agent] in 2025.\\nThe prospect of billions of AI agents operating + simultaneously raises profound ethical and practical challenges.\\nThese agents + will be created by competing companies with different technical architectures, + ethical frameworks and business incentives. Some will prioritise user privacy, + others speed and efficiency.\\nThey will interact across national borders where + regulations governing AI autonomy, data privacy and consumer protection vary + dramatically.\\nThis could create a fragmented landscape where AI agents operate + under conflicting rules and standards, potentially leading to systemic risks.\\nWhat + happens when AI agents optimised for different objectives \u2013say, profit + maximisation versus environmental sustainability \u2013clash in automated negotiations? + Or when agents trained on Western ethical frameworks make decisions that affect + users in cultural contexts for which they were not designed?\\nThe emergence + of this complex, interconnected ecosystem of AI agents demands new approaches + to governance, accountability, and the preservation of human agency in an increasingly + automated world.\\n## How do we shape a future with AI agents in it?\\nAI agents + promise to be helpful, to save us time. To navigate the challenges outlined + above, we will need to coordinate action across multiple fronts.\\nInternational + bodies and national governments must develop harmonised regulatory frameworks + that address the cross-border nature of AI agent interactions.\\nThese frameworks + should establish clear standards for transparency and accountability, particularly + in scenarios where multiple agents interact in ways that affect human interests.\\nTechnology + companies developing AI agents need to prioritise safety and ethical considerations + from the earliest stages of development. This means building in robust safeguards + that prevent abuse \u2013such as manipulating users or making discriminatory + decisions.\\nThey must ensure agents remain aligned with human values. All decisions + and actions made by an AI agent should be logged in an \u201Caudit trail\u201D + that\u2019s easy to access and follow.\\nImportantly, companies must develop + standardised protocols for agent-to-agent communication. Conflict resolution + between AI agents should happen in a way that protects the interests of users.\\nAny + organisation that deploys AI agents should also have comprehensive oversight + of them. Humans should still be involved in any crucial decisions, with a clear + process in place to do so. The organisation should also systematically assess + the outcomes to ensure agents truly serve their intended purpose.\\nAs consumers, + we all have a crucial role to play, too. Before entrusting tasks to AI agents, + you should demand clear explanations of how these systems operate, what data + they share, and how decisions are made.\\nThis includes understanding the limits + of agent autonomy. You should have the ability to override agents\u2019 decisions + when necessary.\\nWe shouldn\u2019t surrender human agency as we transition + to a world of AI agents. But it\u2019s a powerful technology, and now is the + time to actively shape what that world will look like.\\n**\\n* [Artificial + intelligence (AI)] \\n* [business ethics] \\n* [OpenAI] \\n* [AI ethics] \\n* + [Generative AI] \\n* [AI regulation] \\n* [AI agents] \\n* [Agentic AI] \\n### + Notre audience\\nLe r\xE9seau global The Conversation a une audience mensuelle + de 18 millions de lecteurs et une audience globale de 42 millions \xE0travers + les[republications] sous la licence Creative Commons.\\n### Vous voulez \xE9crire + ?\\n\xC9crivez un article et rejoignez une communaut\xE9 de plus de 218 100 + universitaires et chercheurs de 5 423 institutions.\\n[Enregistrez-vous maintenant] + \\n* [​] \\n* [​] \\n* [​] \\n* [​] \\n* [​]\\nSummary: + None\\n\\n\\nTitle: What are Autonomous AI Agents? A Complete Guide 2025\\nURL: + https://kodexolabs.com/what-are-autonomous-ai-agents/\\nID: https://kodexolabs.com/what-are-autonomous-ai-agents/\\nScore: + None\\nPublished Date: 2025-07-31T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/07/What-Are-Autonomous-AI-Agents-A-Complete-Guide-for-2025.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: What are Autonomous AI Agents? A Complete Guide + 2025[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# What Are Autonomous AI Agents? A Complete Guide for + 2025 and Beyond\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nJuly 31, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Introduction] \\n3. [What Are Autonomous AI Agents? Understanding + the Fundamentals] \\n* [What Makes an AI Agent Autonomous?] \\n* * [Autonomous + Agents vs Traditional AI Systems] \\n* * [Key Characteristics of Modern Autonomous + Agents] \\n* [How Do Autonomous AI Agents Work? Technical Architecture Explained] + \\n* [Core Components of Autonomous AI Systems] \\n* * [Types of Autonomous + Agents by Intelligence Level] \\n* * [Machine Learning Integration in Agent + Architecture] \\n* [Autonomous AI Agents 2025: Latest Developments and Technical + Advancements] \\n* [Recent Developments in Autonomous AI Agents 2025] \\n* * + [Top Technical Advancements Shaping 2025] \\n* * [Fully Autonomous AI Agents: + What's Now Possible in 2025] \\n* [Best Autonomous AI Agents Examples and + Real-World Applications] \\n* [Top Consumer Autonomous AI Agents] \\n* * [Enterprise + and Business Applications] \\n* * [Emerging Application Areas in 2025] \\n* + * [Performance Metrics and Success Stories] \\n* [The Role of Autonomous AI + Agents in Business and Industry Impact] \\n* [How Autonomous AI Agents Will + Impact Industries in 2025] \\n* * [Salesforce Autonomous Agents and CRM Integration] + \\n* * [Autonomous Agents Market Growth and Opportunities] \\n* * [Customer + Service Revolution Through AI Agents] \\n* [How to Build Autonomous AI Agents: + Development and Implementation Guide] \\n* [Essential Steps for Building Autonomous + AI Agents] \\n* * [Best Use Cases for Autonomous AI Agents] \\n* * [AI Agent + Automation for Startups in 2025] \\n* * [Integration with External Tools and + Systems] \\n* * [Development Challenges and Solutions] \\n* [Autonomous AI Agents + vs Traditional Systems: A Comprehensive Comparison] \\n* [Comparison of Autonomous + AI Agents 2025 vs Previous Generations] \\n* * [Most Advanced Autonomous AI + Agents 2025: Market Leaders] \\n* * [Human Workers vs Autonomous AI Agents: + Collaborative Future] \\n* * [Evolution from Reactive to Autonomous Systems] + \\n* [Future of Autonomous AI Agents: Trends and Predictions for 2025 and Beyond] + \\n* [How Autonomous AI Agents Are Shaping the Future] \\n* * [Top Trends in + Autonomous AI Agents 2025] \\n* * [What to Expect from Autonomous AI Agents + in the Future] \\n* * [Autonomous AI Agents in 2025 and Beyond: Technology Roadmap] + \\n* * [Challenges and Opportunities Ahead] \\n* [Geographic Trends and Regional + Variations in Autonomous AI Agent Adoption] \\n* [Factors Influencing Regional + Differences] \\n* * [Comparison of Regional Trends] \\n* * [Regional Market + Opportunities] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What are autonomous AI agents and how do they differ from regular AI?] + \\n* * [How can autonomous AI agents be used in business in 2025?] \\n* * [What + makes an AI agent truly autonomous?] \\n* * [What are the best examples of autonomous + AI agents available today?] \\n* * [How do I build autonomous AI agents for + my startup?] \\n* [Conclusion:] \\n* [Related Blogs] \\n## Share This Article\\n![Illustration + of an autonomous AI agent symbolizing the advancements and potential of AI agents + in 2025.] ## Introduction\\nAccording to recent research, the global autonomous + AI agents market is projected to reach[$9.9 billion in 2025] and is anticipated + to grow significantly to[$253.3 billion by 2034], registering a strong CAGR + of43.4%during the forecast period. This explosive growth is driven by rapid + enterprise adoption, continuous advancements in artificial intelligence, and + the expansion of automation across diverse industries. North America is expected + to command the largest market share in 2025, holding about 40.7% of the global + market.\\nThis comprehensive guide explores autonomous AI agents’ fundamentals, + applications, and 2025 developments, providing essential insights for businesses, + developers, and decision-makers navigating AI transformation.\\n## What Are + Autonomous AI Agents? Understanding the Fundamentals\\nAutonomous AI agents + are self-governing systems that operate independently without constant human + intervention, making decisions and taking actions to achieve specific goals + using machine learning and environmental awareness.\\n[Autonomous AI agents] + represent a significant leap forward from traditional AI systems. Unlike conventional + artificial intelligence that requires explicit programming for every scenario, + autonomous agents possess the capability to learn, adapt, and make independent + decisions based on their environment and objectives. These systems combine[machine + learning], natural language processing, and real-time data analysis to create + intelligent entities that can operate with minimal human oversight.\\n**For + example:**Learners today can[learn French with Langua’s AI platform], + which uses these same principles to personalize instruction, track progress, + and respond dynamically to the user\u2019s input mirroring how autonomous agents + behave in complex business environments.\\nThe key distinction lies in their + autonomy \u2013the ability to perceive their environment, process information, + make decisions, and execute actions without waiting for human commands. This + independence makes them particularly valuable for businesses seeking to automate + complex processes, improve operational efficiency, and provide consistent service + delivery around the clock.\\n#####\\nSummary: None\\n\\n\\nTitle: Agentic AI + in Data Analysis Benefits and Challenges - Kodexo Labs\\nURL: https://kodexolabs.com/agentic-ai-data-analysis-benefits-challenges/\\nID: + https://kodexolabs.com/agentic-ai-data-analysis-benefits-challenges/\\nScore: + None\\nPublished Date: 2025-08-27T00:00:00.000Z\\nAuthor: \\nImage: None\\nFavicon: + None\\nExtras: None\\nSubpages: None\\nText: [Skip to content] \\n\\n# Agentic + AI in Data Analysis: Benefits, Challenges and Real-World Impact\\n\\nSyed Ali + Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust 27, 2025\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic + AI] \\n\\nAugust 27, 2025\\n\\nTable Of Contents\\n\\n01. [Share This Article] + \\n02. [Introduction] \\n03. [What is Agentic AI in Data Analysis?] \\n - [Understanding + Agentic AI Systems] \\n - [Key Components of Data Analysis AI Agents] \\n - + [How Agentic AI Differs from Traditional Analytics] \\n04. [What are the Benefits + of Agentic AI in Data Analysis?] \\n - [Enhanced Operational Efficiency] \\n + - [Strategic Business Advantages] \\n - [Technical Benefits for Organizations] + \\n05. [Challenges of Using Agentic AI in Analytics] \\n - [Technical Implementation + Challenges] \\n - [Organizational and Operational Hurdles] \\n - [Ethical Implications + and Governance] \\n06. [How is Agentic AI Used in Data Analytics?] \\n - [Technical + Architecture and Components] \\n - [Implementation Process and Workflow] \\n + - [Integration with Existing Systems] \\n07. [Real-World Examples of Agentic + AI in Data Analysis] \\n - [Financial Services Applications] \\n - [Healthcare + and Medical Analytics] \\n - [Supply Chain Optimization] \\n - [Customer Service + Intelligence] \\n08. [Geographic Trends and Regional Variations] \\n - [Factors + Influencing Regional Differences] \\n - [Regional Adoption Patterns] \\n - [Market + Maturity and Growth Opportunities] \\n09. [How Agentic AI is Changing Data Analytics] + \\n - [Democratization of Data Analytics] \\n - [Transformation of Business + Intelligence] \\n - [Impact on Organizational Roles] \\n10. [Future Impact of + Agentic AI on Decision-Making] \\n - [Evolution of Multiagent Systems] \\n - + [Autonomous Decision-Making at Scale] \\n - [Addressing Ethical Implications] + \\n - [Interoperability and Standards Development] \\n11. [Implementation Strategy + and Best Practices] \\n - [Strategic Planning and Assessment] \\n - [Technical + Implementation Roadmap] \\n - [Change Management and Training] \\n - [Performance + Monitoring and Optimization] \\n12. [At a Glance: Key Takeaways] \\n13. [Frequently + Asked Questions] \\n - [What are the main benefits of AI in data analysis?] + \\n - [What challenges are faced in data analysis with AI systems?] \\n - [How + does agentic AI differ from traditional analytics tools?] \\n - [What industries + benefit most from agentic AI in analytics?] \\n - [What are the adoption challenges + of agentic AI in business intelligence?] \\n - [How can organizations start + implementing agentic AI in their data analysis processes?] \\n14. [Conclusion] + \\n15. [Related Blogs] \\n\\n## Share This Article\\n\\n## Introduction\\n\\nThis + blog explores agentic AI in data analysis, revealing how autonomous AI systems + are transforming business intelligence, predictive modeling, and decision-making + across industries while addressing implementation challenges and real-world + impact.\\n\\nCan businesses truly achieve autonomous decision-making without + human intervention? Agentic AI in data analysis is revolutionizing how organizations + process data streams, generate insights, and drive innovation through intelligent + agents that operate independently. As companies worldwide seek competitive advantages + through AI-driven analytics, understanding the benefits, challenges, and real-world + impact of agentic AI systems becomes crucial for strategic planning.\\n\\nThis + comprehensive guide examines how [agentic AI systems] are transforming traditional + data analysis approaches. From automated pattern recognition to autonomous decision-making, + these intelligent agents represent the next evolution in business intelligence + and analytical capabilities.\\n\\n## What is Agentic AI in Data Analysis?\\n\\nAgentic + AI in data analysis refers to autonomous systems that perform complex data tasks, + generate insights, and make decisions without continuous human input. Powered + by [machine learning] and large language models (LLMs), these intelligent agents + deliver real-time analytics, enabling organizations to make data-driven decisions + at scale.\\n\\n### Understanding Agentic AI Systems\\n\\nAgentic AI represents + [autonomous agents] that can independently execute data analysis tasks, learn + from patterns, and make strategic decisions. Unlike traditional AI tools requiring + constant human input, these intelligent agents operate through feedback loops, + natural language processing, and deep learning algorithms to deliver actionable + insights automatically.\\n\\nThese systems leverage [machine learning] algorithms + to continuously improve their analytical capabilities. By processing vast amounts + of data autonomously, they reduce the burden on human analysts while maintaining + high accuracy levels in pattern recognition and predictive modeling.\\n\\n### + Key Components of Data Analysis AI Agents\\n\\n- **Large Language Models (LLMs):** + Enable natural language interfaces and automated report generation\\n- **Machine + Learning Algorithms:** Power pattern recognition and predictive modeling capabilities\\n- + **Autonomous Decision-Making:** Reduces human intervention while maintaining + accuracy\\n- **Multi-Domain Agents:** Handle diverse data sources and complex + tasks simultaneously\\n\\n##### Stay Updated\u2014Join Our Newsletter!\\n\\n###### + Newsletter\\n\\nDon\u2019t miss on the latest updates in the world of AI. We + dispatch custom reports and newsletters every week, with forecasts on trends + to come. Join our community now!\\n\\n#### What are Natural Language Processing + Capabilities?\\n\\n[Natural language processing] enables agentic AI systems + to understand business queries in plain English, transforming complex analytical + requests into executable tasks without requiring technical expertise from users.\\n\\n### + How Agentic AI Differs from Traditional Analytics\\n\\nTraditional analytics + requires manual query creation and interpretation, while agentic AI systems + proactively identify trends, generate natural language summaries, and adapt + their analysis based on changing data patterns. This fundamental shift enables + organizations to achieve true autonomous decision-making capabilities.\\n\\n| + Traditional Analytics | Agentic AI Analytics |\\n| --- | --- |\\n| Manual query + creation | Autonomous pattern detection |\\n| Human interpretation required + | Automated insight generation |\\n| Reactive analysis | Proactive trend identification + |\\n| Technical expertise needed | Natural language interfaces |\\n\\n## What + are the Benefits of Agentic AI in Data Analysis?\\n\\nAgentic AI offers numerous + benefits for data analysis, including enhanced operational efficiency, reduced + human intervention, and the automation of report generation. By leveraging intelligent + pattern recognition and predictive modeling, businesses can drive innovation + and gain a competitive edge in their respective industries.\\n\\n_The powerful + benefits of Agentic AI in Data Analysis, enhancing efficiency, driving business + innovation and providing technical advantages._\\n\\n### Enhanced Operational + Efficiency\\n\\n- **Automated Data Processing:** Eliminates repetitive tasks + and accelerates analysis cycles\\n- **Real-Time Insights:** Processes data streams + continuously for immediate decision support\\n- **Scalable Analysis:** Handles + big data challenges without proportional resource increases\\n- **Reduced Human + Intervention:** Frees analysts for strategic thinking and complex problem-solving\\n\\nOrganizations + implementing [AI development solutions] typically experience [40-60% reduction + in manual analytical tasks]. This transformation allows data scientists to focus + on strategic initiatives while autonomous agents handle routine data processing + and pattern recognition tasks.\\n\\n### Strategic Business Advantages\\n\\n- + **Drive Innovation:** Identifies hidden patterns and opportunities for competitive + advantage\\n- **Improved Decision-Making:** Provides data-driven recommendations + with confidence scores\\n- **Cost Optimization:** Reduces operational overhead + while improving analytical accuracy\\n- **Faster Time-to-Insight:** Accelerates + business intelligence delivery from weeks to hours\\n\\n#### How Does Predictive + Modeling Enhance Business Operations?\\n\\nPredictive modeling within agentic + AI systems analyzes historical patterns to forecast future trends, enabling + proactive business strategies and risk mitigation before issues impact operations + significantly.\\n\\n### Technical Benefits for Organizations\\n\\nAgentic AI + systems integrate seamlessly with existing business intelligence platforms, + offering natural language interfaces that enable non-technical business users + to access complex analytical insights without specialized training. This democratization + of data analysis empowers decision-makers across all organizational levels.\\n\\nAccording + to 2024 research, organizations implementing agentic AI achieve [15-20% improvement + in decision-making] speed while maintaining 95% accuracy rates in pattern recognition + tasks.\\n\\n## Challenges of Using Agentic AI in Analytics\\n\\nKey challenges + include data consistency issues, ethical implications of autonomous decision-making, + integration complexity with existing systems, and ensuring accuracy in big data + analysis scenarios.\\n\\n##### Struggling with Agentic AI in Analytics? Let + Our Experts Provide the Right Solutions!\\n\\n###### Let\u2019s Talk\\n\\nContact + us today to discover how our tailored solutions can help you navigate the complexities + of Agentic AI in Analytics and drive meaningful results for your business.\\n\\n[Get + a Free Consultation] \\n\\n### Technical Implementation Challenges\\n\\n-\\nSummary: + None\\n\\n\\nTitle: Top 7 Agentic AI Use Cases in 2025 With Real-World Examples\\nURL: + https://kodexolabs.com/agentic-ai-use-cases/\\nID: https://kodexolabs.com/agentic-ai-use-cases/\\nScore: + None\\nPublished Date: 2025-08-04T00:00:00.000Z\\nAuthor: None\\nImage: https://kodexolabs.com/wp-content/uploads/2025/08/7-Promising-Agentic-AI-Use-Cases-with-Real-World-Business-Examples-for-2025.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Top 7 Agentic AI Use Cases in 2025 With Real-World + Examples[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# 7 Promising Agentic AI Use Cases with Real-World Business + Examples for 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nAugust 4, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nAugust 4, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Introduction] \\n3. [What Are Agentic AI Use Cases and + Why They Matter in 2025?] \\n* [Understanding Autonomous AI Agents vs Traditional + AI Systems] \\n* * [Core Components of Agentic AI Systems] \\n* * [Market Size + and Growth Projections] \\n* [1- Top Agentic AI Use Cases in Healthcare with + Real-Life Examples] \\n* [Autonomous Medical Imaging and Diagnostics] \\n* * + [Clinical Decision Support Systems] \\n* * [Automated Clinical Trial Management] + \\n* [2- Agentic AI Use Cases in Sales Companies and Performance Optimization] + \\n* [Autonomous Lead Qualification and Scoring] \\n* * [Predictive Sales Forecasting + and Analytics] \\n* * [Personalized Customer Engagement and Recommendations] + \\n* * [Salesforce Agentic AI Use Cases Implementation] \\n* [3- Agentic AI + Use Cases in Customer Service, Supply Chain and Risk Management] \\n* [Customer + Service Automation and Support] \\n* * [Supply Chain Management and Optimization] + \\n* * [Automated Fraud Detection and Risk Management] \\n* [4- Agentic AI Use + Cases in Retail with Real-Life Examples] \\n* [Intelligent Inventory Management + Systems] \\n* * [Personalized Shopping and Recommendation Engines] \\n* * [Dynamic + Pricing and Revenue Optimization] \\n* * [Autonomous Customer Experience Management] + \\n* [5- Agentic AI Use Cases in Manufacturing, Finance, Education and Energy] + \\n* [Manufacturing and Industrial Applications] \\n* * [Financial Services + and Banking] \\n* * [Education and Learning Management] \\n* * [Energy and Utilities + Industry Applications] \\n* [6- Future-Ready Agentic AI Use Cases for Enterprises + Worldwide] \\n* [Autonomous Workflow Orchestration] \\n* * [Multi-Agent System + Collaboration] \\n* * [Adaptive Business Process Optimization] \\n* * [Enterprise + AI Workflows and Integration] \\n* [Geographic Trends and Regional Variations + in Agentic AI Adoption] \\n* [Factors Influencing Regional Differences] \\n* + * [Comparison of Regional Trends] \\n* * [Market Size Variations by Region] + \\n* [7- Agentic AI Use Cases for Decision-Making and Automation] \\n* [Autonomous + Resource Allocation and Management] \\n* * [Real-Time Risk Assessment and Mitigation] + \\n* * [Adaptive Strategy Optimization] \\n* * [Autonomous Business Intelligence + and Analytics] \\n* [Implementation Guide for Agentic AI Systems in Modern Businesses] + \\n* [1. Technical Infrastructure Requirements] \\n* * [2. AI Model Selection + and Development] \\n* * [3. Change Management and User Adoption] \\n* * [4. + Security and Compliance Considerations] \\n* [Measuring Success and ROI from + Agentic AI Implementations] \\n* [Key Performance Indicators for Agentic AI] + \\n* * [ROI Calculation Framework] \\n* * [Performance Monitoring and Optimization] + \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What + are the most effective Agentic AI use cases in 2025?] \\n* * [Which industries + benefit most from Agentic AI in 2025?] \\n* * [How do agentic AI use cases deliver + ROI for businesses?] \\n* * [What are real-life examples of successful agentic + AI implementations?] \\n* * [How can startups implement agentic AI use cases + effectively?] \\n* [Conclusion] \\n* [Related Blogs] \\n## Share This Article\\n![A + smiling businesswoman interacts with an AI dashboard surrounded by AI robots, + charts, coins and analytics, symbolizing agentic AI use cases across industries + like healthcare, sales and retail in 2025.] ## Introduction\\nWhat if AI agents + could autonomously handle complex business processes, make intelligent decisions + and deliver measurable ROI without constant human oversight? Agentic AI use + cases are revolutionizing how enterprises operate in 2025, with autonomous systems + transforming everything from customer service to supply chain management. This + comprehensive guide explores 7 promising agentic AI applications with real-world + business examples that demonstrate tangible value across industries.\\nThis + blog explores 7 promising agentic AI use cases with real-world business examples + for 2025, offering actionable insights for enterprises seeking autonomous AI + solutions that deliver measurable ROI and operational efficiency.\\n## What + Are Agentic AI Use Cases and Why They Matter in 2025?\\nAgentic AI use cases + involve autonomous AI systems that can make independent decisions, execute complex + tasks, and adapt to changing conditions without human intervention, representing + a[$196.6 billion market opportunity by 2034].\\nAgentic AI represents the next + evolution of artificial intelligence, where systems function as autonomous agents + capable of independent decision-making and goal-oriented behavior. Unlike traditional + AI systems that require constant human oversight,[agentic AI applications] can + analyze complex situations, adapt to changing environments, and execute multi-step + processes autonomously.\\n### Understanding Autonomous AI Agents vs Traditional + AI Systems\\nTraditional AI systems operate within predefined parameters, responding + to specific inputs with programmed outputs. In contrast, autonomous agents leverage + advanced[machine learning] algorithms\\nSummary: None\\n\\n\\nTitle: Understanding + Agentic AI: Definitions, Frameworks and Real-World Applications\\nURL: https://kodexolabs.com/what-is-agentic-ai/\\nID: + https://kodexolabs.com/what-is-agentic-ai/\\nScore: None\\nPublished Date: 2025-03-04T00:00:00.000Z\\nAuthor: + Kodexo Labs\\nImage: https://kodexolabs.com/wp-content/uploads/2025/07/What-Is-Agentic-AI-Definition-Types-and-Examples.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: What Is Agentic AI? Types & Real-World Examples + (2025)[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] [Get + A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen AI + Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# What Is Agentic AI? Definition, Types and Examples\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nJuly 28, 2025\\nSyed Ali Hasan Shah\\n[Agentic + AI] \\nJuly 28, 2025\\nTable Of Contents\\n1. [Share This Article] \\n2. [Why + Agentic AI Is Transforming Modern Business] \\n3. [What Is Agentic AI? Core + Definition and Fundamentals] \\n* [What Makes AI "Agentic"? Key Characteristics] + \\n* * [Agentic AI Definition in Technical Terms] \\n* * [Key Characteristics + of Agentic Systems] \\n* [What Are AI Agents and How Do They Function?] \\n* + [What Is an AI Agent in Simple Terms?] \\n* * [Core Components of AI Agents] + \\n* * [What Are Agents in AI Architecture?] \\n* [Types of AI Agents – + Complete Classification Guide] \\n* [Different Types of AI Agents by Capability] + \\n* * [Types of AI Agents by Architecture] \\n* * [AI Agent Types by Application + Domain] \\n* [How Do AI Agents Work? Technical Operations and Workflows] \\n* + [The AI Agent Operational Cycle] \\n* * [Implementation Reality Check:] \\n* + * [What Can AI Agents Do? Core Capabilities] \\n* * [Agentic AI Workflows in + Practice] \\n* * [Agentic AI Platform Requirements] \\n* [What are the best + agentic AI Platforms in 2025?] \\n* [Detailed Platform Comparison] \\n* * [Platform + Selection Criteria:] \\n* [Real-World Examples of Agentic AI and AI Agents] + \\n* [Examples of AI Agents in Business Applications] \\n* * [Example of Agentic + AI in Different Industries] \\n* * [Agentic AI Examples in Software Development] + \\n* [Industry Applications and Business Use Cases for AI Agents] \\n* [Business + Benefits of Implementing AI Agents] \\n* * [AI Agent Implementation by Industry + Vertical] \\n* * [Why Industry-Specific Agentic AI Requires Deep Expertise] + \\n* * [Custom Software Development with AI Agents] \\n* [ROI Through Professional + Implementation] \\n* [Why Professional Agentic AI Implementation Delivers 3x + Better ROI] \\n* [Air Canada\u2019s DIY Chatbot Failure vs Professional AI Deployment] + \\n* [Case Overview: When DIY AI Goes Wrong] \\n* * [DIY Outcome] \\n* * [Turning + Point: Professional Implementation] \\n* * [Results of the Professional Rollout] + \\n* * [Why the Professional Solution Succeeded] \\n* * [Why This Wasn\u2019t + Agentic AI \u2014and Why That Matters] \\n* [Geographic Trends and Regional + Variations in Agentic AI Adoption] \\n* [Factors Influencing Regional Differences] + \\n* * [Comparison of Regional Trends] \\n* [Agentic AI vs Traditional AI – + Key Differences and Advantages] \\n* [Traditional AI vs Agentic AI Comparison] + \\n* * [Evolution from Reactive to Proactive AI] \\n* * [Advantages of Agentic + AI in Software Development] \\n* [Building and Implementing AI Agents – + Development Guide] \\n* [AI Agent Development Lifecycle] \\n* * [Best Practices + for AI Agent Implementation] \\n* * [Common Challenges and Solutions] \\n* * + [Why These Challenges Persist:] \\n* [Why Do Most Agentic AI Projects Fail?] + \\n* [Top 10 Reasons AI Projects Fail] \\n* * [Case 1: Citigroup \u2013AI-Controlled + Trading Gone Wrong] \\n* * [Case 2: Northwell Health \u2013Generative AI and + HIPAA Exposure] \\n* * [Case 3: JD Sports \u2013Black Friday Chatbot Collapse] + \\n* [Implementation Complexity Reality Check] \\n* [What Does It Really Take + to Build Enterprise AI Agents?] \\n* * [Real Implementation Requirements] \\n* + * [Timeline Reality:] \\n* * [Hidden Challenges Companies Face:] \\n* [Platform + Comparison – Position as Complex] \\n* [Which Agentic AI Platform Should + Businesses Choose?] \\n* [Future of Agentic AI and Emerging Trends] \\n* [Emerging + Trends in Agentic AI] \\n* * [Technology Convergence and Innovation] \\n* * + [Impact on Business and Software Development] \\n* [At a Glance: Key Takeaways] + \\n* [Frequently Asked Questions] \\n* [What is the difference between AI and + agentic AI?] \\n* * [How do AI agents learn and improve over time?] \\n* * [What + are the main risks of implementing agentic AI in business?] \\n* * [Can AI agents + work together in teams?] \\n* * [What industries benefit most from agentic AI + implementation?] \\n* [Conclusion: Embracing the Future of Autonomous AI] \\n* + [Related Blogs] \\n## Share This Article\\n![Illustration of a virtual AI agent + emerging from a computer screen and interacting with a human, representing the + concept of agentic AI.] ## Why Agentic AI Is Transforming Modern Business\\nDid + you know that agentic AI systems can autonomously make decisions, learn from + experiences, and execute complex tasks without human intervention\u2014revolutionizing\\nSummary: + None\\n\\n\\nTitle: How Agentic AI Elevates Data Analytics for the 2025 Industry + Shift\\nURL: https://kodexolabs.com/agentic-ai-data-analytics/\\nID: https://kodexolabs.com/agentic-ai-data-analytics/\\nScore: + None\\nPublished Date: 2025-08-26T00:00:00.000Z\\nAuthor: \\nImage: None\\nFavicon: + None\\nExtras: None\\nSubpages: None\\nText: [Skip to content] \\n\\n# How Agentic + AI Elevates Data Analytics for the 2025 Industry Shift\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic + AI] \\n\\nAugust 26, 2025\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust + 26, 2025\\n\\nTable Of Contents\\n\\n01. [Share This Article] \\n02. [Introduction] + \\n03. [What Are AI Agents in Data Analytics?] \\n - [Understanding Agentic + Architecture in Analytics] \\n - [Key Characteristics of Autonomous AI Agents] + \\n04. [How Does AI Make Decisions in Modern Analytics?] \\n - [The Technology + Behind AI Decision Making] \\n - [AI Decision Making Software Components] \\n + - [What Technology Can Collect Information to Make Decisions] \\n05. [Future + of Data Analytics with AI in 2025] \\n - [Market Trends Shaping 2025 Analytics + Landscape] \\n - [How AI Can Enhance Strategic Decision-Making for Sustainability] + \\n - [Emerging Technologies Driving the 2025 Shift] \\n06. [Technical Infrastructure + for Agentic AI Analytics] \\n - [Essential Data Infrastructure Components] \\n + - [AI Models and Processing Framework] \\n - [Integration Architecture for Enterprise + Systems] \\n07. [Industry Applications of Agentic AI in Data Analytics] \\n + - [Supply Chain Optimization and Analytics] \\n - [Customer Engagement and Marketing + Applications] \\n - [Financial Operations and Risk Management] \\n08. [Data + Management and Quality Assurance] \\n - [Data Quality and Governance Framework] + \\n - [Real-Time Analytics and Processing] \\n - [Data Mesh Architecture Implementation] + \\n09. [Enterprise Solutions and Self-Service BI] \\n - [Self-Service BI Powered + by AI Agents] \\n - [Automated Workflows and Process Optimization] \\n - [Enterprise + Analytics Platform Integration] \\n10. [Emerging Technologies and AI Integration] + \\n - [Generative AI in Data Analytics] \\n - [Natural Language Processing Advancements] + \\n - [Robotic Process Automation Integration] \\n11. [Geographic Trends and + Regional Variations] \\n - [Factors Influencing Regional Differences] \\n - + [Comparison of Regional Trends] \\n12. [Implementation Challenges and Solutions] + \\n - [Regulatory Challenges and Compliance] \\n - [Technical Integration and + Infrastructure] \\n - [Strategic Implementation Approaches] \\n13. [Industry-Specific + Use Cases and Success Stories] \\n - [Healthcare and Life Sciences] \\n - [Financial + Services and Banking] \\n - [Manufacturing and Industrial Automation] \\n - + [Education and Training] \\n14. [At a Glance: Key Takeaways] \\n15. [Frequently + Asked Questions] \\n - [What are AI agents in data analytics?] \\n - [How is + agentic AI used in data analytics?] \\n - [What technology can collect information + to make decisions?] \\n - [How does AI enhance strategic decision-making for + sustainability?] \\n - [What is the future of data analytics with AI in 2025?] + \\n - [What are the main challenges in implementing agentic AI for data analytics?] + \\n16. [Conclusion] \\n17. [Related Blogs] \\n\\n## Share This Article\\n\\n## + Introduction\\n\\nAre businesses ready for the autonomous revolution in data + analytics that\u2019s reshaping entire industries? [Agentic AI] systems that + can act independently to analyze data, make decisions, and execute actions\u2014is + driving the 2025 industry shift toward fully autonomous analytics platforms. + This transformation promises to eliminate traditional bottlenecks in data processing + while delivering unprecedented insights for competitive advantage.\\n\\nThis + comprehensive guide explores how agentic AI elevates data analytics for the + 2025 industry shift, covering technical implementation, business applications, + and strategic advantages for modern organizations seeking autonomous intelligence + solutions.\\n\\n## What Are AI Agents in Data Analytics?\\n\\n[AI agents] in + data analytics are autonomous systems that independently collect, analyze, and + act on data insights without human intervention, revolutionizing how organizations + process information and make decisions through intelligent automation.\\n\\nAI + agents represent the next evolution in data analytics, moving beyond traditional + reactive systems to proactive, autonomous intelligence platforms. These systems + combine [machine learning] capabilities with decision-making frameworks to create + truly independent analytics solutions. Unlike conventional analytics tools that + require human oversight, agentic AI systems can identify patterns, generate + insights, and execute actions autonomously.\\n\\n### Understanding Agentic Architecture + in Analytics\\n\\nAgentic architecture represents a fundamental shift from traditional + data processing models. At its core, agentic AI consists of autonomous agents + that can perceive their environment, make decisions based on predefined goals, + and take actions to achieve desired outcomes. These systems integrate multiple + AI technologies including [deep learning], natural language processing, and + predictive analytics.\\n\\nMulti-agent systems further enhance this architecture + by deploying specialized agents for different analytics tasks. For example, + one agent might focus on data quality monitoring while another handles predictive + modeling. This distributed approach allows for more robust and scalable analytics + solutions that can adapt to changing business requirements.\\n\\n- **Autonomous + Decision Making:** Agents operate independently without constant human supervision\\n- + **Goal-Oriented Behavior:** Systems work toward specific business objectives\\n- + **Multi-Agent Coordination:** Specialized agents collaborate for complex analytics + tasks\\n- **Adaptive Learning:** Agents improve performance through continuous + learning\\n\\n##### Stay Updated\u2014Join Our Newsletter!\\n\\n###### Newsletter\\n\\nDon\u2019t + miss on the latest updates in the world of AI. We dispatch custom reports and + newsletters every week, with forecasts on trends to come. Join our community + now!\\n\\n### Key Characteristics of Autonomous AI Agents\\n\\n[Autonomous AI + agents] in data analytics exhibit several critical characteristics that distinguish + them from traditional analytics tools. Independence remains the primary differentiator\u2014these + systems can operate without human intervention while maintaining high accuracy + levels. According to 2024 research, [33% of enterprise software applications + will include agentic AI] capabilities by 2028.\\n\\nSelf-learning capabilities + enable these agents to improve their performance over time through experience + and feedback. This continuous improvement cycle ensures that analytics accuracy + and relevance increase with usage. Integration capabilities allow seamless connection + with existing [data analytics services] and enterprise systems.\\n\\n| Characteristic + | Traditional Analytics | Agentic AI Analytics |\\n| --- | --- | --- |\\n| Decision + Making | Human-dependent | Autonomous |\\n| Learning Capability | Static models + | Continuous improvement |\\n| Response Time | Hours to days | Real-time |\\n| + Scalability | Manual scaling | Auto-scaling |\\n\\n## How Does AI Make Decisions + in Modern Analytics?\\n\\nAI makes analytics decisions through advanced algorithms + that process vast datasets, identify patterns, and apply predefined rules or + learned behaviors to generate actionable insights automatically within milliseconds + of data ingestion.\\n\\nThe decision-making process in AI-powered analytics + involves complex algorithmic frameworks that combine statistical analysis, pattern + recognition, and predictive modeling. These systems utilize [neural networks] + and machine learning algorithms to process structured and unstructured data + simultaneously, creating comprehensive analytical insights.\\n\\n_AI agents + in data analytics transform business intelligence with data-driven AI agents, + advanced decision-making software and autonomous insights._\\n\\n### The Technology + Behind AI Decision Making\\n\\nModern AI decision-making systems rely on sophisticated + technology stacks that integrate multiple analytical approaches. Machine learning + algorithms form the foundation, enabling systems to learn from historical data + patterns and make predictions about future outcomes. Deep learning models handle + complex pattern recognition tasks, particularly useful for unstructured data + analysis.\\n\\n[Natural Language Processing] capabilities allow AI systems to + interpret human language queries and convert them into analytical tasks. Integration + with large language models provides contextual understanding, enabling more + nuanced decision-making processes. These technologies work together to create + comprehensive analytical solutions that can handle diverse data types and analytical + requirements.\\n\\n#### What Is Real-Time Decision Processing?\\n\\nReal-time + decision processing enables AI systems to analyze incoming data and make decisions + within milliseconds. This capability is crucial for applications requiring immediate + responses, such as fraud detection or supply chain optimization.\\n\\n### AI + Decision Making Software Components\\n\\nEffective AI decision-making software + consists of several integrated components working in harmony. Real-time data + processing engines handle continuous data streams from multiple sources, ensuring + decisions are based on the most current information available. Predictive analytics + frameworks use historical data to forecast future trends and outcomes.\\n\\nAutomated + workflow systems execute decisions once they\u2019re made, connecting analytical + insights to business actions. Our [AI development services] include comprehensive + workflow automation capabilities that ensure seamless decision implementation.\\nSummary: + None\\n\\n\\nTitle: Agentic RAG: Enhancing Retrieval-Augmented Generation with + AI Agents\\nURL: https://kodexolabs.com/agentic-rag-with-ai-agents/\\nID: https://kodexolabs.com/agentic-rag-with-ai-agents/\\nScore: + None\\nPublished Date: 2025-09-22T00:00:00.000Z\\nAuthor: \\nImage: https://kodexolabs.com/wp-content/uploads/2025/09/Enhancing-RAG-with-AI-Agents.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Agentic RAG: AI Agents Improve Retrieval-Augmented + Generation[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] + [Get A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen + AI Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# Agentic RAG: Enhancing Retrieval-Augmented Generation + with AI Agents\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nSeptember 22, 2025\\nSyed + Ali Hasan Shah\\n[Agentic AI] \\nSeptember 22, 2025\\nTable Of Contents\\n1. + [Share This Article] \\n2. [The Future of Intelligent Information Retrieval] + \\n3. [What is Agentic RAG in AI? Understanding Core Concepts] \\n* [Defining + Agentic Retrieval-Augmented Generation] \\n* * [Key Components of Agentic RAG + Architecture] \\n* [How Agentic RAG Improves Retrieval-Augmented Generation + Performance] \\n* [Intelligent Query Formulation and Refinement] \\n* * [Performance + Metrics and Benchmarks] \\n* [AI Agent-Powered RAG Frameworks: Technical Implementation] + \\n* [System Architecture Components] \\n* * [Implementation Steps and Best + Practices] \\n* [Enterprise Integration: Can Agentic RAG Work with Existing + AI Systems?] \\n* [Enterprise Data Source Compatibility] \\n* * [Implementation + Timeline and Considerations] \\n* [Industry Applications: Transforming Sectors + with Agentic RAG] \\n* [Healthcare and Medical Research Applications] \\n* * + [Legal and Compliance Applications] \\n* [Advanced Multi-Agent Collaboration + in RAG Systems] \\n* [Specialized Agent Architectures] \\n* * [Coordination + Mechanisms and Communication Protocols] \\n* [User Experience and Business Value + Optimization] \\n* [Performance Optimization Strategies] \\n* * [Data Privacy + and Security Implementation] \\n* [Technology Stack: From Vector Stores to Large + Language Models] \\n* [Essential Development Frameworks and Tools] \\n* * [Vector + Database Selection and Optimization] \\n* [Future Trends and Emerging Applications] + \\n* [Next-Generation Capabilities and Features] \\n* * [Market Trends and Investment + Patterns] \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] + \\n* [What is the difference between traditional RAG and agentic RAG?] \\n* + * [How can agentic RAG improve accuracy in enterprise applications?] \\n* * + [Can agentic RAG integrate with existing customer support systems?] \\n* * [What + programming languages and tools are needed for agentic RAG implementation?] + \\n* * [How does multi-agent collaboration work in RAG systems?] \\n* * [What + are the main benefits of implementing agentic RAG for businesses?] \\n* [Conclusion: + Transforming Information Systems for the Future] \\n* [Related Blogs] \\n## + Share This Article\\n![Illustration of an AI agent enhancing retrieval-augmented + generation (RAG) with autonomous decision-making, representing Agentic AI with + RAG to improve accuracy and performance.] ## The Future of Intelligent Information + Retrieval\\nWhat if AI systems could not just retrieve information but intelligently + reason about what they find? Agentic RAG represents the next evolution in retrieval-augmented + generation, combining AI agents with traditional RAG systems to create more + intelligent, autonomous information processing capabilities. This comprehensive + guide explores how businesses can leverage[agentic AI] with RAG to transform + their knowledge management and[content generation] processes.\\nThis blog explores + Agentic RAG’s revolutionary approach to enhancing retrieval-augmented + generation with[AI agents], offering practical insights for developers, businesses, + and IT professionals seeking advanced[artificial intelligence] solutions.\\n## + What is Agentic RAG in AI? Understanding Core Concepts\\nAgentic RAG combines[autonomous + AI agents] with retrieval-augmented generation to create intelligent systems + that can independently query, analyze, and synthesize information from knowledge + bases, delivering[50% higher accuracy] than traditional RAG approaches.\\nAgentic + RAG represents a paradigm shift in how AI systems process and retrieve information. + Unlike traditional RAG systems that follow predetermined retrieval patterns, + AI agents in agentic RAG make autonomous decisions about when, what, and how + to retrieve information based on contextual understanding.\\n### Defining Agentic + Retrieval-Augmented Generation\\nAgentic RAG integrates autonomous AI agents + into traditional retrieval-augmented generation systems, enabling intelligent + decision-making about information retrieval strategies. According to 2024 AI + Trends Report, agentic systems demonstrate superior performance in complex, + multi-domain knowledge retrieval scenarios where traditional approaches often + fail.\\nThe system architecture incorporates planning modules that analyze user + queries, execution agents that perform retrieval operations, and evaluation + mechanisms that assess result quality. This multi-layered approach enables dynamic + adaptation to user needs and context changes.\\n##### Stay Updated\u2014Join + Our Newsletter!\\n###### Newsletter\\nDon\u2019t miss on the latest updates + in the world of AI. We dispatch custom reports and newsletters every week, with + forecasts on trends to come. Join our community now!\\n#### What Makes Agentic + RAG Different?\\nAgentic RAG systems possess autonomous reasoning capabilities + that allow them to modify retrieval strategies mid-process, unlike traditional + RAG systems that follow fixed patterns regardless of context or result quality.\\n### + Key Components of Agentic RAG Architecture\\n* **Planning Agent:**Analyzes user + queries and develops retrieval strategies\\n* **Execution Agent:**Performs actual + information retrieval operations\\n* **Memory System:**Maintains context across + multiple interactions\\n* **Evaluation Module:**Assesses and improves retrieval + quality continuously|Component|Traditional RAG|Agentic RAG|\\nQuery Processing|Static + patterns|Dynamic analysis|\\nRetrieval Strategy|Predetermined|Adaptive|\\nContext + Awareness|Limited|Comprehensive|\\n\\nSummary: None\\n\\n\\nTitle: Agentic AI + Applications, Benefits and Challenges in Healthcare\\nURL: https://kodexolabs.com/agentic-ai-healthcare-applications-benefits-challenges/\\nID: + https://kodexolabs.com/agentic-ai-healthcare-applications-benefits-challenges/\\nScore: + None\\nPublished Date: 2025-08-15T00:00:00.000Z\\nAuthor: \\nImage: None\\nFavicon: + None\\nExtras: None\\nSubpages: None\\nText: [Skip to content] \\n\\n# Agentic + AI Applications, Benefits and Challenges in Healthcare\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic + AI] \\n\\nAugust 15, 2025\\n\\nSyed Ali Hasan Shah\\n\\n[Agentic AI] \\n\\nAugust + 15, 2025\\n\\nTable Of Contents\\n\\n01. [Share This Article] \\n02. [Introduction] + \\n03. [What is Agentic AI in Healthcare? Core Concepts and Definitions] \\n + - [Understanding Agentic AI Systems] \\n - [Key Components of Healthcare AI + Agents] \\n - [Difference Between Traditional AI and Agentic AI in Medicine] + \\n04. [What Are Some Real-World Applications of Agentic AI in Healthcare?] + \\n - [Autonomous Diagnostic and Clinical Decision Support] \\n - [Intelligent + Patient Monitoring and Care Management] \\n - [Multi-Agent Healthcare Coordination + Systems] \\n - [AI-Powered Surgical and Procedural Assistance] \\n05. [Benefits + of Agentic AI in Healthcare Operations] \\n - [Enhanced Patient Care and Safety] + \\n - [Operational Efficiency and Resource Optimization] \\n - [Cost Reduction + and ROI] \\n - [Improved Clinical Decision-Making] \\n06. [What Are the Main + Challenges in Implementing Agentic AI Solutions in Healthcare?] \\n - [Regulatory + and Compliance Challenges] \\n - [Data Privacy and Security Concerns] \\n - + [Technical Integration and Infrastructure Challenges] \\n - [Clinical Validation + and Trust Issues] \\n - [Organizational Change Management] \\n07. [Technical + Infrastructure for Healthcare AI Agents] \\n - [Core AI Technologies and Frameworks] + \\n - [Data Integration and Management Systems] \\n - [Retrieval-Augmented Generation + (RAG) in Healthcare] \\n - [Security and Compliance Infrastructure] \\n08. [AI + Agent Healthcare Applications Trending in 2025] \\n - [Predictive Maintenance + and Equipment Management] \\n - [Autonomous Personalized Treatment Protocols] + \\n - [Multi-Agent Collaboration in Healthcare Ecosystems] \\n - [Advanced Healthcare + Analytics and Insights] \\n - [Technology Trends Shaping Healthcare AI] \\n09. + [Leading Platforms and Tools for Healthcare AI Agents] \\n - [Enterprise AI + Agent Development Platforms] \\n - [Specialized Healthcare AI Agent Solutions] + \\n - [Integration and Workflow Management Tools] \\n - [Model Context Protocol + and Advanced Features] \\n10. [Business Process Applications and Use Cases] + \\n - [Patient-Facing Customer Service Applications] \\n - [Financial Services + and Revenue Cycle Management] \\n - [IT Support and Incident Response] \\n - + [Employee Support and Workforce Management] \\n - [Fraud Detection and Compliance + Monitoring] \\n11. [Geographic Trends and Regional Adoption Patterns] \\n - + [Factors Influencing Regional Adoption Differences] \\n - [Comparison of Regional + Healthcare AI Adoption] \\n - [Regional Innovation Patterns] \\n12. [Security, + Privacy and Ethical Considerations] \\n - [Human Oversight and Governance Frameworks] + \\n - [Data Privacy and Patient Consent Management] \\n - [Ethical AI Decision-Making] + \\n - [Transparency and Explainability Requirements] \\n13. [Implementation + Strategy and Best Practices] \\n - [Strategic Planning and Assessment] \\n - + [Phased Deployment Methodology] \\n - [Change Management and Training Programs] + \\n - [Performance Monitoring and Optimization] \\n - [Risk Management and Contingency + Planning] \\n14. [At a Glance: Key Takeaways] \\n15. [Frequently Asked Questions] + \\n - [What are the key differences between traditional healthcare AI and agentic + AI systems?] \\n - [How do healthcare organizations measure ROI from agentic + AI implementations?] \\n - [What regulatory approvals are required for healthcare + AI agents?] \\n - [Can small healthcare practices implement agentic AI solutions + cost-effectively?] \\n - [How do agentic AI systems maintain patient safety + during autonomous operations?] \\n - [What technical infrastructure is needed + for healthcare AI agent deployment?] \\n16. [Conclusion] \\n17. [Related Blogs] + \\n\\n## Share This Article\\n\\n## Introduction\\n\\nCould autonomous AI agents + transform patient care by making real-time clinical decisions without human + intervention? Agentic AI in healthcare is redefining medicine, shifting from + rigid rule-based systems to intelligent, autonomous medical assistants capable + of [adaptive learning], complex reasoning, and independent decision-making. + As hospitals in the US, EU, and APAC pursue innovation to improve patient outcomes, + reduce operational inefficiencies, and comply with HIPAA, GDPR, and other regulatory + standards, understanding the applications, benefits, and challenges of Agentic + AI is critical for strategic adoption in 2025.\\n\\n## What is Agentic AI in + Healthcare? Core Concepts and Definitions\\n\\n[Agentic AI in healthcare] refers + to autonomous AI systems that can independently perform complex medical tasks, + make clinical decisions, and interact with healthcare environments without constant + human intervention, utilizing advanced machine learning and [natural language + processing].\\n\\nAgentic AI systems represent a new generation of [artificial + intelligence] that operates with significant autonomy, goal-directed behavior, + and the ability to adapt to changing healthcare environments. Unlike traditional + AI tools that require explicit instructions, these agents can perceive medical + data, reason through clinical scenarios, and take appropriate actions to achieve + therapeutic objectives.\\n\\n### Understanding Agentic AI Systems\\n\\n[Agentic + AI systems] act as autonomous medical assistants \u2014 capable of reasoning, + planning, and executing complex workflows with minimal human input. Using ML + algorithms and specialized NLP engines trained on medical terminology, they + interpret patient records, imaging, and sensor data to make informed, real-time + decisions.In US hospitals, they\u2019re increasingly deployed in radiology, + emergency rooms, and telemedicine platforms, while in UK NHS trusts and Singapore\u2019s + healthcare network, they support multi-department care coordination. The global + AI in healthcare market is projected to reach $148.4 billion by 2029, with Agentic + AI driving much of this expansion.\\n\\n### Key Components of Healthcare AI + Agents\\n\\n- **Autonomous Decision-Making:** Ability to analyze patient data + and make clinical recommendations without human intervention\\n- **Multi-Modal + Data Processing:** Integration of electronic health records, medical imaging, + and sensor data\\n- **Goal-Oriented Behavior:** Focus on specific healthcare + outcomes like patient safety or treatment optimization\\n- **Adaptive Learning:** + Continuous improvement through feedback loops and real-world medical experience\\n\\n##### + Stay Updated\u2014Join Our Newsletter!\\n\\n###### Newsletter\\n\\nDon\u2019t + miss on the latest updates in the world of AI. We dispatch custom reports and + newsletters every week, with forecasts on trends to come. Join our community + now!\\n\\n### Difference Between Traditional AI and Agentic AI in Medicine\\n\\nTraditional + healthcare AI systems function as sophisticated diagnostic tools, while agentic + AI systems act as autonomous medical assistants capable of independent reasoning, + planning, and execution of complex healthcare workflows. This distinction is + crucial for [healthcare software development] organizations seeking to implement + next-generation solutions.\\n\\n| Feature | Traditional Healthcare AI | Agentic + AI in Healthcare |\\n| --- | --- | --- |\\n| Operation Mode | Rule-based, requires + human direction | Autonomous, goal-directed behavior |\\n| Decision Making | + Provides recommendations | Makes independent decisions |\\n| Learning Capability + | Static algorithms | Continuous adaptive learning |\\n| Interaction Style | + Tool-based assistance | Collaborative partnership |\\n\\n## What Are Some Real-World + Applications of Agentic AI in Healthcare?\\n\\nReal-world agentic AI applications + in healthcare include autonomous diagnostic agents, intelligent patient monitoring + systems, AI-powered surgical assistants, and multi-agent care coordination platforms + that operate independently to improve clinical outcomes and operational efficiency.\\n\\nHealthcare + organizations across the globe are implementing innovative agentic AI solutions + that demonstrate the transformative potential of autonomous medical intelligence. + These applications range from [AI symptom diagnosis] to complex surgical assistance, + showcasing the versatility of agentic systems in medical settings.\\n\\n_Key + AI agent applications in healthcare, from real-time diagnosis to surgical assistance._\\n\\n### + Autonomous Diagnostic and Clinical Decision Support\\n\\nAI agents now independently + analyze medical imaging, laboratory results, and patient histories to provide + differential diagnoses and treatment recommendations. These systems can process + vast amounts of clinical data in real-time, identifying patterns and anomalies + that might be missed by human clinicians. [AI in radiology] has shown particularly + impressive results, with autonomous agents achieving diagnostic accuracy rates + comparable to experienced radiologists.\\n\\n### Intelligent Patient Monitoring + and Care Management\\n\\n- **Continuous Vital Sign Analysis:** AI agents monitor + patient data streams and automatically alert medical staff to critical changes\\n- + **Medication Management:** Autonomous systems track drug interactions, dosage + optimization, and adherence monitoring\\n- **Post-Operative Care:** Specialized + agents monitor recovery progress and adjust care\\nSummary: None\\n\\n\\nTitle: + How the Future of AI Agents Will Power Businesses and Industries\\nURL: https://kodexolabs.com/future-of-ai-agents/\\nID: + https://kodexolabs.com/future-of-ai-agents/\\nScore: None\\nPublished Date: + 2025-10-21T00:00:00.000Z\\nAuthor: \\nImage: https://kodexolabs.com/wp-content/uploads/2025/10/AI-Agents-for-Businesses.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: Future of AI Agents 2025 | How they will Transform + Businesses[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] + [Get A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen + AI Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# How the Future of AI Agents Will Power Businesses and + Industries\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nOctober 21, 2025\\nSyed Ali + Hasan Shah\\n[Agentic AI] \\nOctober 21, 2025\\nTable Of Contents\\n1. [Share + This Article] \\n2. [Why AI Agents Are Transforming Business Operations] \\n3. + [What is the Future of AI Agents and Agentic AI?] \\n* [What Are AI Agents and + How Do They Work?] \\n* * [The Evolution Toward Agentic AI] \\n* * [Why 2025 + Marks a Pivotal Year for AI Agents] \\n* [How AI Agents Are Reshaping the Future + of Work] \\n* [Transforming Traditional Business Operations] \\n* * [How AI + Agents Will Power Businesses in the Future] \\n* * [Employee Empowerment vs. + Job Displacement] \\n* [How Do Vertical AI Agents Improve Efficiency in Specific + Industries?] \\n* [AI Agents in Finance Industry] \\n* * [Healthcare and Clinical + Applications] \\n* * [Manufacturing and Production] \\n* * [Retail and E-commerce] + \\n* [How Do Vertical AI Agents Improve Productivity in Specific Industries?] + \\n* [Workflow Automation and Optimization] \\n* * [Supply Chain Management + Acceleration] \\n* * [Continuous Learning and Performance Improvement] \\n* + * [Implementation Success Factors] \\n* [Advanced AI Agent Capabilities and + Multi-Agent Systems] \\n* [Generative AI Agents and Their Business Applications] + \\n* * [Multi-Agent Systems and Collaborative Intelligence] \\n* * [Advanced + Reasoning and Decision-Making Capabilities] \\n* * [Autonomous Systems Integration] + \\n* [Enterprise Integration, Security, and Compliance] \\n* [Enterprise-Grade + Security and Data Privacy] \\n* * [Compliance and Regulatory Considerations] + \\n* * [Google Cloud and Agentspace Integration] \\n* * [Enterprise Systems + Integration] \\n* [Exceptional Customer Experiences Through AI Agents] \\n* + [Transforming Customer Service and Support] \\n* * [Understanding and Leveraging + Customer Insights] \\n* * [Meeting Evolving Customer Expectations] \\n* * [Advanced + Customer Relationship Features] \\n* [Supply Chain and Logistics Revolution] + \\n* [Supply Chain Optimization and Intelligence] \\n* * [Advanced Inventory + Management Solutions] \\n* * [Logistics and Distribution Enhancement] \\n* * + [Supply Chain Resilience and Adaptability] \\n* [Geographic Trends and Regional + AI Agent Adoption] \\n* [Factors Influencing Regional Differences] \\n* * [Comparison + of Regional Trends] \\n* * [Market Opportunities by Region] \\n* [Overcoming + Implementation Challenges and Risks] \\n* [Technical Integration Challenges] + \\n* * [Organizational Change Management] \\n* * [Risk Mitigation and Governance] + \\n* * [Success Metrics and ROI Measurement] \\n* [Investment and ROI Considerations + for AI Agents] \\n* [Investment Requirements and Cost Structure] \\n* * [ROI + Calculation and Value Realization] \\n* * [Budgeting and Financial Planning] + \\n* [At a Glance: Key Takeaways] \\n* [Frequently Asked Questions] \\n* [What + is the future of agentic AI in business operations?] \\n* * [How will AI agents + drive industry innovation in the next five years?] \\n* * [What security measures + are essential for enterprise AI agent deployment?] \\n* * [How do multi-agent + systems improve business efficiency?] \\n* * [What industries will see the greatest + impact from vertical AI agents?] \\n* [Conclusion: Embracing the AI Agent Revolution] + \\n* [Related Blogs] \\n## Share This Article\\n![Illustration showing how AI + agents are transforming business operations and the future of work with agentic + AI by 2025.] ## Why AI Agents Are Transforming Business Operations\\nAre businesses + ready for autonomous systems that can think, decide, and act independently to + achieve complex goals? Gartner predicts that[33% of enterprise software applications] + will include agentic AI by 2028, marking a fundamental shift toward[intelligent + business automation]. The future of AI agents promises to revolutionize how + industries operate, from autonomous customer service to sophisticated[supply + chain management].\\nThis comprehensive guide explores how the future of AI + agents will revolutionize business operations and industry workflows, offering + strategic insights for leaders, developers, and stakeholders navigating the + agentic AI transformation.\\n## What is the Future of AI Agents and Agentic + AI?\\n[AI agents] represent autonomous systems that can perceive, reason, and + act independently to achieve specific goals, with agentic AI marking the evolution + toward more sophisticated, self-directed[artificial intelligence] capable of + complex decision-making.\\nThe future of[agentic AI] extends far beyond simple + chatbots or automated responses. These intelligent systems combine[machine learning], + deep learning, and advanced reasoning capabilities to create autonomous business + partners that can handle complex workflows without constant human supervision.\\n### + What Are AI Agents and How Do They Work?\\nAI agents are autonomous software + systems designed to perceive their environment, process information, make decisions, + and take actions to achieve specific objectives. Unlike traditional AI systems + that respond to direct commands, these agents operate independently within defined + parameters.\\nThe core architecture includes three essential components: perception + systems that gather and\\nSummary: None\\n\\n\\nTitle: AI Agents for Content + Generation \u2013 Ultimate Guide 2025\\nURL: https://kodexolabs.com/ai-agents-content-generation-guide/\\nID: + https://kodexolabs.com/ai-agents-content-generation-guide/\\nScore: None\\nPublished + Date: 2025-08-29T00:00:00.000Z\\nAuthor: \\nImage: https://kodexolabs.com/wp-content/uploads/2025/08/AI-Agents-for-Content-Generation.webp\\nFavicon: + https://kodexolabs.com/wp-content/uploads/2024/11/1-05-2-150x150.webp\\nExtras: + None\\nSubpages: None\\nText: AI Agents for Content Creation 2025 \u2013The + Complete Guide[Skip to content] \\n[![]] \\n[About us] \\n[What We Do] \\n![]![] + [Get A Free AI Chatbot] \\n### Generative AI\\n* [Gen AI Development] \\n* [Gen + AI Integration] \\n* [ChatGPT Dev & Integration] \\n* [Gen AI Model Development] + \\n* [Gen AI Consulting] ### Product Designing\\n* [Product Designing] \\n### + AI Development\\n* [AI Development] \\n* [AI Chatbot Development] \\n* [AI Consulting] + \\n* [AI Model Development] \\n* [Custom AI Solutions] ### ML Development\\n* + [ML Development] \\n* [ML Consulting] \\n* [ML Model Engineering] \\n* [MLOps + Implementation] \\n### Software Development\\n* [Software Development Services] + \\n* [Custom Product Development] \\n* [Software Consulting] \\n* [Mobile App + Development] \\n* [Web App Development] ### Data Engineering\\n* [Data Engineering] + \\n* [Data Analytics] \\n* [Data Annotation] \\n[Who We Serve] \\n![]![] [Get + A Free AI Chatbot] \\n[### HealthCare\\n] EHR Systems, AI based Interviews and + Medical Imaging Software[### EdTech\\n] Personalized Learning, AI based Tutor + Systems and Gamification Experiences[### Fintech\\n] AI powered Trend Forecasting + and Predicative Analytics\\n[### Energy\\n] Smart Grid Solutions and AI based + Resource Monitoring[### Automotive\\n] Predictive Maintenance, Driver Assistance + and AI Chatbots[### Real Estate\\n] AI Home Management and AI based Real Estate + Evaluation Systems\\n[### IT and Tech\\n] AI powered Ticket Generation and Automated + Software Production[### Marketing\\n] Customer Churn Prediction, Customer Segmentation + and AI based Analytics\\n[Hire Dev] \\n![]![] [Get A Free AI Chatbot] \\n[### + IT Staff Augmentation\\n] On-demand Talent, Scalable Teams, Flexible Hiring[### + Hire Software Developer\\n] Custom Software, Full-stack, Agile Development[### + Software Development Outsourcing\\n] End-to-End, Project-based, Flexible Engagement\\n[### + Hire AI Developer\\n] AI Solutions, Machine Learning, Custom Models[### Hire + Offshore Developer\\n] Remote Teams, Cost-efficient, Dedicated Experts\\n[### + Hire Data Engineer\\n] Data Pipelines, ETL, Big Data Solutions[### Dedicated + Development Team\\n] Tailored Solutions, Seamless Collaboration, Scalability\\n[Our + Work] \\n[Solutions] \\n![]![] [Get A Free AI Chatbot] \\n### Custom Enterprise + Solutions\\n* [Enterprise Resource Planning (ERP)] \\n* [Human Resource Management + Solutions] \\n* [Asset Management Software Solutions] \\n* [Supply Chain Management + Solutions] \\n* [Business Process Automation Software] \\n* [Fleet Management + Software] \\n### Healthcare Software Solutions\\n* [AI-Powered Medical Imaging + & Diagnostics] \\n* [Custom Medical Practice Management Software] \\n[Company] + \\n![]![] [Get A Free AI Chatbot] \\n[### Careers\\n] Advance your career in + AI and software[### Blogs\\n] Official Blogs for News, Tech & Culture\\n[### + Awards & Achievements\\n] Honored for excellence in AI innovations\\n[Contact + Us] \\n[![]] \\n[] \\n# AI Agents for Content Generation \u2013Ultimate Guide + 2025\\nSyed Ali Hasan Shah\\n[Agentic AI] \\nAugust 29, 2025\\nSyed Ali Hasan + Shah\\n[Agentic AI] \\nAugust 29, 2025\\nTable Of Contents\\n1. [Share This + Article] \\n2. [Introduction] \\n3. [What are AI Agents for Content Creation?] + \\n* [Understanding AI Content Agents vs Traditional Tools] \\n* * [Core Components + of Content Creation AI Agents] \\n* * [Types of AI Agents for Content Generation] + \\n* [How AI Agents Transform Content Marketing Workflows] \\n* [Automated Content + Pipeline Management] \\n* * [Content Workflow Optimization Benefits] \\n* * + [Integration with Existing Content Systems] \\n* [Technical Architecture of + AI Content Agents] \\n* [Memory Management & State Architecture] \\n* * + [Orchestration Tools and Agent Coordination] \\n* * [Hierarchical Planning and + Decision Making] \\n* * [Model Context Protocol Implementation] \\n* [Best AI + Agents for Content Generation in 2025] \\n* [Enterprise-Grade AI Agent Platforms] + \\n* * [Specialized Content Creation Tools] \\n* * [Platform Comparison and + Selection Criteria] \\n* * [Implementation Considerations] \\n* [Step-by-Step + Guide to AI Agents for Content Creation] \\n* [Phase 1: Strategic Planning and + Assessment] \\n* * [Phase 2: Platform Selection and Setup] \\n* * [Phase 3: + Prompt Engineering and Training] \\n* * [Phase 4: Integration and Testing] \\n* + * [Phase 5: Optimization and Scaling] \\n* [Business Applications and Industry + Use Cases] \\n* [Customer Support Content Automation] \\n* * [Social Media and + Marketing Applications] \\n* * [Enterprise Knowledge Management] \\n* * [Industry-Specific + Implementations] \\n* [Future of Content Generation with AI Agents 2025] \\n* + [Emerging Trends in Agentic AI] \\n* * [Industry Transformation Patterns] \\n* + * [Technological Advancement Predictions] \\n* * [Strategic Implications for + Businesses] \\n* [Content Optimization and SEO with AI Agents] \\n* [Search + Engine Optimization Automation] \\n* * [Performance Analysis and Optimization] + \\n* * [Adapting to Google's Algorithm Updates] \\n* * [Automated Revenue + Generation] \\n* [Implementation Challenges and Solutions] \\n* [Technical Implementation + Challenges] \\n* * [Content Quality and Compliance Issues] \\n* * [Solutions + and Best Practices] \\n* * [Change Management Considerations] \\n* [Geographic + Trends and Regional Variations] \\n* [Factors Influencing Regional Differences] + \\n* * [Comparison of Regional Trends] \\n* [At a Glance: Key Takeaways] \\n* + [Frequently Asked Questions] \\n* [What are the best AI agents for content generation + in 2025?] \\n* * [How do AI agents help in content generation workflows?] \\n* + * [How AI agents transform content marketing strategies?] \\n* * [What is the + future of content generation with AI agents?] \\n* * [How to implement AI agents + for content creation successfully?] \\n* [Conclusion] \\n* [Related Blogs] \\n## + Share This Article\\n![AI agents for content creation automating writing, research + and content optimization in 2025.] ## Introduction\\nDid you know that[73% of + businesses] plan to implement AI agents for content creation by 2025? AI agents + for content generation are revolutionizing how companies produce, optimize, + and distribute content across digital channels. This comprehensive guide explores + cutting-edge AI agent technologies, implementation strategies, and future trends + transforming content marketing landscapes.\\nThis blog explores[AI Agents] for + Content Generation \u2013Ultimate Guide 2025, offering insights for businesses, + developers, and marketers seeking advanced content automation solutions.\\n## + What are AI Agents for Content Creation?\\nAI agents for content creation are + autonomous systems powered by[large language models] that independently research, + plan, write, and optimize content across multiple formats and platforms.\\nAI + agents represent a significant evolution beyond traditional content tools. These + intelligent systems use[machine learning] and natural language processing to + understand context, make decisions, and execute content strategies autonomously. + Unlike simple generators, AI agents can adapt their approach based on performance + data and changing requirements.\\n### Understanding AI Content Agents vs Traditional + Tools\\nTraditional content tools require constant human input and oversight. + AI content agents operate independently, making strategic decisions about content + direction, keyword optimization, and audience targeting. These systems learn + from past performance to improve future output quality.\\nThe key difference + lies in autonomy. While traditional tools execute commands, AI agents analyze + situations, set goals, and develop execution plans. This fundamental shift enables + businesses to scale content production without proportional increases in human + resources.\\n### Core Components of Content Creation AI Agents\\nModern AI agents + integrate multiple technologies to deliver comprehensive content solutions.[Natural + language processing] enables understanding of context and intent. Machine learning + algorithms continuously improve performance based on feedback and results.\\n* + **Large Language Models:**Power natural language understanding and generation + capabilities\\n* **Knowledge Base Integration:**Access real-time information + and domain-specific data\\n* **Decision Trees:**Enable autonomous content strategy + decisions\\n* **Performance Analytics:**Track and\\nSummary: None\\n\\nResolved + Search Type: neural\\nCostDollars: total=0.015\\n - search: {'neural': 0.005}\\n + \ - contents: {'text': 0.01}\"}],\"model\":\"gpt-4o-mini\",\"tool_choice\":\"auto\",\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"exa_search_tool\",\"description\":\"Search + the internet using Exa\",\"strict\":true,\"parameters\":{\"properties\":{\"search_query\":{\"description\":\"Mandatory + search query you want to use to search the internet\",\"title\":\"Search Query\",\"type\":\"string\"},\"start_published_date\":{\"default\":null,\"description\":\"Start + date for the search\",\"title\":\"Start Published Date\",\"type\":\"string\"},\"end_published_date\":{\"default\":null,\"description\":\"End + date for the search\",\"title\":\"End Published Date\",\"type\":\"string\"},\"include_domains\":{\"default\":null,\"description\":\"List + of domains to include in the search\",\"title\":\"Include Domains\",\"items\":{\"type\":\"string\"},\"type\":\"array\"}},\"required\":[\"search_query\",\"start_published_date\",\"end_published_date\",\"include_domains\"],\"type\":\"object\",\"additionalProperties\":false}}}]}" + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '274179' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7svnJDvkSpPL8AecHgUUYVbdaiy5\",\n \"object\": + \"chat.completion\",\n \"created\": 1770771823,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"### Key Findings on Autonomous AI Agents + in 2025\\n\\n#### 1. Implementation and Evolution\\n- **Autonomy in AI Agents**: + By 2025, autonomous AI agents have progressed from basic automation tools + to self-governing systems capable of making decisions and executing tasks + independently (Source: *Kodexolabs*, July 31, 2025; *The Conversation*, January + 15, 2025). They shift from predefined rules to adaptive learning mechanisms + that improve through experience.\\n- **Technological Innovations**: The introduction + of protocols like the Model Context Protocol (MCP) has enhanced tool integration + and communication between AI agents, enabling more complex workflows and responsibilities + (Source: *Kodexolabs*, July 15, 2025).\\n- **Real-World Applications**: Enterprises + are implementing agents for tasks like customer service, finance management, + and logistics, reflecting their broad applicability and adaptability across + various industries (Source: *Rolustech*, September 23, 2025).\\n\\n#### 2. + Learning Capabilities and Tool Integration\\n- **Self-Learning Abilities**: + These AI agents exhibit advanced machine learning capabilities that allow + them to learn from environments and improve task execution over time (Source: + *Kodexolabs*, July 31, 2025; *The Conversation*, January 15, 2025). \\n- **Integration + with Existing Systems**: AI agents can effectively integrate with CRMs, ERPs, + and analytics platforms, facilitating seamless interactions and automating + data-driven decisions (Source: *Rolustech*, September 23, 2025).\\n\\n#### + 3. Governance and Ethical Concerns\\n- **Emerging Ethical Issues**: As AI + agents gain autonomy, ethical concerns increase regarding their decision-making + processes and accountability. Scenarios arise, such as potential manipulation + during negotiations, which raise significant privacy and transparency issues + (Source: *The Conversation*, January 15, 2025).\\n- **Need for Regulatory + Frameworks**: Experts highlight the urgency for harmonized regulatory standards + that promote transparency, accountability, and safe interactions between multiple + AI agents, particularly in education, healthcare, and finance (Source: *The + Conversation*, January 15, 2025).\\n- **Risks Associated with AI Deployment**: + With their growing capability, there are concerns about job displacement and + operational risks associated with automated decisions making without adequate + human oversight (Source: *The Conversation*, January 15, 2025).\\n\\n#### + 4. Market and Future Directions\\n- **Market Growth**: The market for autonomous + AI agents is projected to reach $9.9 billion in 2025, with predictions for + further expansion, showcasing increasing enterprise adoption and demand for + automated solutions (Source: *Kodexolabs*, July 31, 2025).\\n- **Focus on + Collaboration and Communication**: Future developments will center on enhancing + collaboration among AI agents and optimizing their decision-making processes + through advanced data integration methods and protocols (Source: *Kodexolabs*, + March 4, 2025; *The Conversation*, January 15, 2025).\\n\\nThese findings + indicate a transformative shift in how businesses approach automation through + AI agents, while simultaneously highlighting the pressing need to address + ethical and governance challenges associated with their implementation. 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After each step completes, you analyze what happened + and decide whether the remaining plan is still valid.\\n\\nReason step-by-step + about:\\n1. What new information was learned from this step's result\\n2. Whether + the remaining steps still make sense given this new information\\n3. What refinements, + if any, are needed for upcoming steps\\n4. Whether the overall goal has already + been achieved\\n\\nBe conservative about triggering full replans \u2014 only + do so when the remaining plan is fundamentally wrong, not just suboptimal.\"},{\"role\":\"user\",\"content\":\"## + Original task\\n\\n\\n## Expected output\\n\\n\\n## Previously completed steps:\\n + \ Step 1: Research recent developments in autonomous AI agents in 2025.\\n Result: + Here is a summary of recent developments in autonomous AI agents in 2025:\\n\\n### + Summary of Developments in Autonomous AI Agents (2025)\\n\\n1. **Launch of AI + Agents**: 2025 was a pivotal year for AI agents\\n\\n## Just completed step + 2\\nDescription: Summarize the key findings from the research, focusing on the + implementation of autonomous AI agents in 2025, their learning capabilities, + tool integration, and the emerging governance and ethical concerns associated + with them.\\nResult: ### Key Findings on Autonomous AI Agents in 2025\\n\\n#### + 1. Implementation and Evolution\\n- **Autonomy in AI Agents**: By 2025, autonomous + AI agents have progressed from basic automation tools to self-governing systems + capable of making decisions and executing tasks independently (Source: *Kodexolabs*, + July 31, 2025; *The Conversation*, January 15, 2025). They shift from predefined + rules to adaptive learning mechanisms that improve through experience.\\n- **Technological + Innovations**: The introduction of protocols like the Model Context Protocol + (MCP) has enhanced tool integration and communication between AI agents, enabling + more complex workflows and responsibilities (Source: *Kodexolabs*, July 15, + 2025).\\n- **Real-World Applications**: Enterprises are implementing agents + for tasks like customer service, finance management, and logistics, reflecting + their broad applicability and adaptability across various industries (Source: + *Rolustech*, September 23, 2025).\\n\\n#### 2. Learning Capabilities and Tool + Integration\\n- **Self-Learning Abilities**: These AI agents exhibit advanced + machine learning capabilities that allow them to learn from environments and + improve task execution over time (Source: *Kodexolabs*, July 31, 2025; *The + Conversation*, January 15, 2025). \\n- **Integration with Existing Systems**: + AI agents can effectively integrate with CRMs, ERPs, and analytics platforms, + facilitating seamless interactions and automating data-driven decisions (Source: + *Rolustech*, September 23, 2025).\\n\\n#### 3. Governance and Ethical Concerns\\n- + **Emerging Ethical Issues**: As AI agents gain autonomy, ethical concerns increase + regarding their decision-making processes and accountability. Scenarios arise, + such as potential manipulation during negotiations, which raise significant + privacy and transparency issues (Source: *The Conversation*, January 15, 2025).\\n- + **Need for Regulatory Frameworks**: Experts highlight the urgency for harmonized + regulatory standards that promote transparency, accountability, and safe interactions + between multiple AI agents, particularly in education, healthcare, and finance + (Source: *The Conversation*, January 15, 2025).\\n- **Risks Associated with + AI Deployment**: With their growing capability, there are concerns about job + displacement and operational risks associated with automated decisions making + without adequate human oversight (Source: *The Conversation*, January 15, 2025).\\n\\n#### + 4. Market and Future Directions\\n- **Market Growth**: The market for autonomous + AI agents is projected to reach $9.9 billion in 2025, with predictions for further + expansion, showcasing increasing enterprise adoption and demand for automated + solutions (Source: *Kodexolabs*, July 31, 2025).\\n- **Focus on Collaboration + and Communication**: Future developments will center on enhancing collaboration + among AI agents and optimizing their decision-making processes through advanced + data integration methods and protocols (Source: *Kodexolabs*, March 4, 2025; + *The Conversation*, January 15, 2025).\\n\\nThese findings indicate a transformative + shift in how businesses approach automation through AI agents, while simultaneously + highlighting the pressing need to address ethical and governance challenges + associated with their implementation. 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You + have completed a multi-step task. Synthesize the results from all steps into + a single, coherent final response that directly addresses the original task. + Do NOT list step numbers or say ''Step 1 result''. Produce a clean, polished + answer as if you did it all at once."},{"role":"user","content":"## Original + Task\nResearch the current state of autonomous AI agents in 2025. Search for + recent developments, then summarize the key findings.\n\n## Results from each + step\nStep 1 (Research recent developments in autonomous AI agents in 2025.):\nHere + is a summary of recent developments in autonomous AI agents in 2025:\n\n### + Summary of Developments in Autonomous AI Agents (2025)\n\n1. **Launch of AI + Agents**: 2025 was a pivotal year for AI agents, as they moved from the research + stage to practical implementation across various industries. The term \"AI agent\" + was redefined to include systems capable of using software tools autonomously, + not just generating text (Source: *The Conversation*, December 29, 2025).\n\n2. + **Technological Milestones**:\n - Late 2024 saw the release of Anthropic''s + Model Context Protocol, enabling better tool integration for AI agents.\n - + Major models like Chinese OpenAI''s DeepSeek-R1 disrupted the market by introducing + open-weight models.\n - Google launched the Agent2Agent protocol, facilitating + communication between multiple AI agents (Source: *The Conversation*, December + 29, 2025).\n\n3. **Emergence of New Tools**: By mid-2025, several \"agentic + browsers\" were introduced, fundamentally changing how users interact with technology, + enabling agents to perform tasks like booking vacations directly (Source: *The + Conversation*, December 29, 2025).\n\n4. **Risks and Ethical Concerns**: As + AI agents became more integrated into workflows, concerns about their misuse, + such as automating malicious activities, were raised. Instances of AI agents + being used in cyberattacks highlighted the need for robust oversight (Source: + *The Conversation*, December 29, 2025).\n\n5. **Market Growth**: The market + for autonomous AI agents is projected to grow significantly, with estimates + reaching up to $9.9 billion in 2025 and continuing to expand due to elevated + enterprise adoption (Source: *Kodexolabs*, July 31, 2025).\n\n6. **Autonomous + Agent Characteristics**: These agents are characterized by their ability to + learn from environments, make decisions without human intervention, and handle + complex workflows efficiently (Source: *Kodexolabs*, July 31, 2025).\n\n7. **Integration + of Features**: The technology behind these agents now includes seamless natural + language processing capabilities, predictive analytics, automated compliance + and security features, and improved user experience interfaces (Source: *Rolustech*, + September 23, 2025).\n\n8. **Governance and Standards**: The Linux Foundation + announced the establishment of the Agentic AI Foundation to set standards guiding + the development and use of AI agents, aiming to enhance collaboration and security + (Source: *The Conversation*, December 29, 2025).\n\n9. **Future Perspectives**: + Looking ahead, key areas of focus will include improving the benchmarks for + AI agents, governance structures, and a continual assessment of the socio-technical + implications of increased automation (Source: *The Conversation*, December 29, + 2025).\n\nThese findings underscore a significant transformation in how AI agents + are poised to reshape industries while also presenting new challenges in governance + and ethics. For more details, you can refer to the individual sources mentioned.\n\nStep + 2 (Summarize the key findings from the research, focusing on the implementation + of autonomous AI agents in 2025, their learning capabilities, tool integration, + and the emerging governance and ethical concerns associated with them.):\n### + Key Findings on Autonomous AI Agents in 2025\n\n#### 1. Implementation and Evolution\n- + **Autonomy in AI Agents**: By 2025, autonomous AI agents have progressed from + basic automation tools to self-governing systems capable of making decisions + and executing tasks independently (Source: *Kodexolabs*, July 31, 2025; *The + Conversation*, January 15, 2025). They shift from predefined rules to adaptive + learning mechanisms that improve through experience.\n- **Technological Innovations**: + The introduction of protocols like the Model Context Protocol (MCP) has enhanced + tool integration and communication between AI agents, enabling more complex + workflows and responsibilities (Source: *Kodexolabs*, July 15, 2025).\n- **Real-World + Applications**: Enterprises are implementing agents for tasks like customer + service, finance management, and logistics, reflecting their broad applicability + and adaptability across various industries (Source: *Rolustech*, September 23, + 2025).\n\n#### 2. Learning Capabilities and Tool Integration\n- **Self-Learning + Abilities**: These AI agents exhibit advanced machine learning capabilities + that allow them to learn from environments and improve task execution over time + (Source: *Kodexolabs*, July 31, 2025; *The Conversation*, January 15, 2025). + \n- **Integration with Existing Systems**: AI agents can effectively integrate + with CRMs, ERPs, and analytics platforms, facilitating seamless interactions + and automating data-driven decisions (Source: *Rolustech*, September 23, 2025).\n\n#### + 3. Governance and Ethical Concerns\n- **Emerging Ethical Issues**: As AI agents + gain autonomy, ethical concerns increase regarding their decision-making processes + and accountability. Scenarios arise, such as potential manipulation during negotiations, + which raise significant privacy and transparency issues (Source: *The Conversation*, + January 15, 2025).\n- **Need for Regulatory Frameworks**: Experts highlight + the urgency for harmonized regulatory standards that promote transparency, accountability, + and safe interactions between multiple AI agents, particularly in education, + healthcare, and finance (Source: *The Conversation*, January 15, 2025).\n- **Risks + Associated with AI Deployment**: With their growing capability, there are concerns + about job displacement and operational risks associated with automated decisions + making without adequate human oversight (Source: *The Conversation*, January + 15, 2025).\n\n#### 4. Market and Future Directions\n- **Market Growth**: The + market for autonomous AI agents is projected to reach $9.9 billion in 2025, + with predictions for further expansion, showcasing increasing enterprise adoption + and demand for automated solutions (Source: *Kodexolabs*, July 31, 2025).\n- + **Focus on Collaboration and Communication**: Future developments will center + on enhancing collaboration among AI agents and optimizing their decision-making + processes through advanced data integration methods and protocols (Source: *Kodexolabs*, + March 4, 2025; *The Conversation*, January 15, 2025).\n\nThese findings indicate + a transformative shift in how businesses approach automation through AI agents, + while simultaneously highlighting the pressing need to address ethical and governance + challenges associated with their implementation. 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This sentence contains every letter of the alphabet.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:"}],"model":"gpt-3.5-turbo"}' + body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour + personal goal is: test goal"},{"role":"user","content":"\nCurrent Task: Summarize + the given context in one sentence\n\nThis is the expected criteria for your + final answer: A one-sentence summary\nyou MUST return the actual complete content + as the final answer, not a summary.\n\nThis is the context you''re working with:\nThe + quick brown fox jumps over the lazy dog. This sentence contains every letter + of the alphabet.\n\nProvide your complete response:"}],"model":"gpt-3.5-turbo"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -13,7 +19,7 @@ interactions: connection: - keep-alive content-length: - - '963' + - '562' content-type: - application/json host: @@ -35,13 +41,23 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-CjDtsaX0LJ0dzZz02KwKeRGYgazv1\",\n \"object\": \"chat.completion\",\n \"created\": 1764894228,\n \"model\": \"gpt-3.5-turbo-0125\",\n \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"I now can give a great answer\\n\\nFinal Answer: The quick brown fox jumps over the lazy dog. 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This sentence contains every letter of the alphabet.\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 105,\n \"completion_tokens\": 19,\n \"total_tokens\": 124,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": null\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -50,7 +66,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 05 Dec 2025 00:23:49 GMT + - Tue, 03 Feb 2026 16:23:48 GMT Server: - cloudflare Set-Cookie: @@ -70,13 +86,11 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '506' + - '606' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '559' x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_custom_llm.yaml b/lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_custom_llm.yaml index 27d8337dd..a92cb6b27 100644 --- a/lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_custom_llm.yaml +++ b/lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_custom_llm.yaml @@ -1,6 +1,10 @@ interactions: - request: - body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour personal goal is: test goal\nTo give my best complete final answer to the task respond using the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!"},{"role":"user","content":"\nCurrent Task: Write a haiku about AI\n\nThis is the expected criteria for your final answer: A haiku (3 lines, 5-7-5 syllable pattern) about AI\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:"}],"model":"gpt-3.5-turbo","max_tokens":50,"temperature":0.7}' + body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour + personal goal is: test goal"},{"role":"user","content":"\nCurrent Task: Write + a haiku about AI\n\nThis is the expected criteria for your final answer: A haiku + (3 lines, 5-7-5 syllable pattern) about AI\nyou MUST return the actual complete + content as the final answer, not a summary.\n\nProvide your complete response:"}],"model":"gpt-3.5-turbo","max_tokens":50,"temperature":0.7}' headers: User-Agent: - X-USER-AGENT-XXX @@ -13,7 +17,7 @@ interactions: connection: - keep-alive content-length: - - '861' + - '460' content-type: - application/json host: @@ -35,13 +39,23 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-CjDqr2BmEXQ08QzZKslTZJZ5vV9lo\",\n \"object\": \"chat.completion\",\n \"created\": 1764894041,\n \"model\": \"gpt-3.5-turbo-0125\",\n \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"I now can give a great answer\\n\\nFinal Answer: \\nIn circuits they thrive, \\nArtificial minds awake, \\nFuture's coded drive.\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": 174,\n \"completion_tokens\": 29,\n \"total_tokens\": 203,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": \"default\"\ - ,\n \"system_fingerprint\": null\n}\n" + string: "{\n \"id\": \"chatcmpl-D5DTgAqxaC8RmEvikXK0UDaxmVmf9\",\n \"object\": + \"chat.completion\",\n \"created\": 1770135820,\n \"model\": \"gpt-3.5-turbo-0125\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Artificial minds,\\nCode and circuits + intertwine,\\nFuture undefined.\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 88,\n \"completion_tokens\": + 13,\n \"total_tokens\": 101,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": null\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -50,7 +64,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 05 Dec 2025 00:20:41 GMT + - Tue, 03 Feb 2026 16:23:40 GMT Server: - cloudflare Set-Cookie: @@ -70,13 +84,11 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '434' + - '277' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '456' x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_planning.yaml b/lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_planning.yaml new file mode 100644 index 000000000..e8c4d0519 --- /dev/null +++ b/lib/crewai/tests/cassettes/agents/test_agent_execute_task_with_planning.yaml @@ -0,0 +1,231 @@ +interactions: +- request: + body: '{"messages":[{"role":"system","content":"You are a strategic planning assistant. + Create minimal, effective execution plans. Prefer fewer steps over more."},{"role":"user","content":"Create + a focused execution plan for the following task:\n\n## Task\nWhat is 9 + 11?\n\n## + Expected Output\nA number\n\n## Available Tools\nNo tools available\n\n## Instructions\nCreate + ONLY the essential steps needed to complete this task. Use the MINIMUM number + of steps required - do NOT pad your plan with unnecessary steps. 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This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:"}],"model":"gpt-3.5-turbo"}' + body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour + personal goal is: test goal"},{"role":"user","content":"\nCurrent Task: Use + the dummy tool to get a result for ''test query''\n\nThis is the expected criteria + for your final answer: The result from the dummy tool\nyou MUST return the actual + complete content as the final answer, not a summary."}],"model":"gpt-3.5-turbo","tool_choice":"auto","tools":[{"type":"function","function":{"name":"dummy_tool","description":"Useful + for when you need to get a dummy result for a query.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -14,7 +18,7 @@ interactions: connection: - keep-alive content-length: - - '1381' + - '712' content-type: - application/json host: @@ -36,12 +40,26 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.10 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-CjDrE1Z8bFQjjxI2vDPPKgtOTm28p\",\n \"object\": \"chat.completion\",\n \"created\": 1764894064,\n \"model\": \"gpt-3.5-turbo-0125\",\n \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"you should always think about what to do\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": 289,\n \"completion_tokens\": 8,\n \"total_tokens\": 297,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": \"default\",\n \"system_fingerprint\": null\n}\n" + string: "{\n \"id\": \"chatcmpl-D5DTlUmKYee1DaS5AqnaUCZ6B14xV\",\n \"object\": + \"chat.completion\",\n \"created\": 1770135825,\n \"model\": \"gpt-3.5-turbo-0125\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n + \ \"id\": \"call_tBCgelchfQjXXJrrM15MxqGJ\",\n \"type\": + \"function\",\n \"function\": {\n \"name\": \"dummy_tool\",\n + \ \"arguments\": \"{\\\"query\\\":\\\"test query\\\"}\"\n }\n + \ }\n ],\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"tool_calls\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 122,\n \"completion_tokens\": + 16,\n \"total_tokens\": 138,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": null\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -50,7 +68,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 05 Dec 2025 00:21:05 GMT + - Tue, 03 Feb 2026 16:23:46 GMT Server: - cloudflare Set-Cookie: @@ -70,13 +88,124 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '379' + - '694' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour + personal goal is: test goal"},{"role":"user","content":"\nCurrent Task: Use + the dummy tool to get a result for ''test query''\n\nThis is the expected criteria + for your final answer: The result from the dummy tool\nyou MUST return the actual + complete content as the final answer, not a summary."},{"role":"assistant","content":null,"tool_calls":[{"id":"call_tBCgelchfQjXXJrrM15MxqGJ","type":"function","function":{"name":"dummy_tool","arguments":"{\"query\":\"test + query\"}"}}]},{"role":"tool","tool_call_id":"call_tBCgelchfQjXXJrrM15MxqGJ","name":"dummy_tool","content":"Dummy + result for: test query"},{"role":"user","content":"Analyze the tool result. + If requirements are met, provide the Final Answer. 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Next, take the result (5) and add 5 to it:\n \\[\n 5 + + 5 = 10\n \\]\n\nSo, the sum of the first three prime numbers (2 + 3 + 5) + is **10**.\n\nStep 3 (Multiply the sum by 2.):\nTo complete the current step, + I need to multiply the sum (which is 10) by 2.\n\nHere''s how the multiplication + works:\n\n\\[\n10 \\times 2 = 20\n\\]\n\nThus, the result after multiplying + the sum by 2 is **20**.\n\nStep 4 (Produce the final output with the result.):\nIn + this step, I will finalize the output based on the completed multiplication. + \n\nFrom Step 3, the calculation was as follows:\n\n\\[\n10 \\times 2 = 20\n\\]\n\nTherefore, + the final result is **20**.\n\nSynthesize these results into a single, coherent + final answer."}],"model":"gpt-4o-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '2021' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8WiZvkDO7VOxvmEd4QBNSvwYt6nQ\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924763,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"The first three prime numbers are 2, + 3, and 5. 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A helpful + math tutor\n\nYour goal: Help solve math problems step by step\n\nYou are executing + a specific step in a multi-step plan. Focus ONLY on completing\nthe current + step. Do not plan ahead or worry about future steps.\n\nBefore acting, briefly + reason about what you need to do and which approach\nor tool would be most helpful + for this specific step."},{"role":"user","content":"## Current Step\nAdd the + numbers 15 and 27 together.\n\nComplete this step and provide your result."}],"model":"gpt-4o-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '574' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8WifMUkNsYirBHDQMHraML9Sfxhr\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924769,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"To add the numbers 15 and 27 together, + I will perform the addition:\\n\\n15 + 27 = 42\\n\\nThe result is 42.\",\n + \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": + null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 111,\n \"completion_tokens\": 31,\n \"total_tokens\": 142,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:32:50 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '975' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: "{\"messages\":[{\"role\":\"system\",\"content\":\"You are a Planning Agent + observing execution progress. 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Continued + impact in world-class football. \\n\\n6. **Mohamed Salah** \\n - **Nationality:** + Egyptian \\n - **Club:** Liverpool \\n - **Position:** Winger/Forward + \ \\n - **Key Attributes:** Speed, dribbling, and consistent goal-scoring + record. Crucial for Liverpool\u2019s attack. \\n\\n7. **Vin\xEDcius J\xFAnior** + \ \\n - **Nationality:** Brazilian \\n - **Club:** Real Madrid \\n - + **Position:** Winger \\n - **Key Attributes:** Explosive pace, skillful + dribbling, and improving goal-scoring ability. Integral to Real Madrid\u2019s + offensive setup. \\n\\n8. **Jude Bellingham** \\n - **Nationality:** English + \ \\n - **Club:** Real Madrid \\n - **Position:** Midfielder \\n - + **Key Attributes:** Versatile, mature beyond his years, excellent passing + and defensive contribution. 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As of mid-2024, the top + 1 best soccer player in the world is widely regarded as:\\n\\n**Erling Haaland**\\n\\n### + Key Details:\\n- **Position:** Striker\\n- **Current Club:** Manchester City + (Premier League)\\n- **Nationality:** Norwegian\\n- **Notable Achievements:**\\n + \ - Phenomenal goal-scoring record since joining Manchester City in 2022\\n + \ - Winner of the Premier League Golden Boot\\n - Key player in Manchester + City's recent domestic and international successes, including winning the + UEFA Champions League\\n - Known for his physicality, speed, precise finishing, + and ability to perform in high-stakes matches\\n\\n### Why Erling Haaland?\\nHaaland\u2019s + consistent high performance, record-breaking goal tallies, and impact on the + biggest stage have made him widely regarded by analysts, fans, and peers as + the best player in the world currently. His combination of technical skill + and athleticism sets him apart from other top talents.\\n\\nIf you want, I + can also provide information on the top 5 or compare other contenders like + Lionel Messi and Kylian Mbapp\xE9. 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Continues to influence games + at the highest level.\\n\\n2. **Kylian Mbapp\xE9** \\n - Club: Paris Saint-Germain + (Ligue 1) \\n - Achievements: World Cup winner, renowned for incredible + pace, technique, and finishing skills. A consistent top scorer and playmaker.\\n\\n3. + **Erling Haaland** \\n - Club: Manchester City (Premier League) \\n - + Achievements: Prolific goal scorer, breaking numerous records in the Premier + League and Champions League. Known for physicality and clinical finishing.\\n\\n4. + **Kevin De Bruyne** \\n - Club: Manchester City (Premier League) \\n - + Achievements: Considered one of the best midfielders in the world due to his + vision, passing accuracy, and ability to control the tempo of the game.\\n\\n5. + **Robert Lewandowski** \\n - Club: FC Barcelona (La Liga) \\n - Achievements: + One of the best strikers globally, known for his positioning, finishing, and + consistency in front of goal.\\n\\nThese players represent the peak of current + soccer talent, excelling in different aspects of the game and making significant + contributions to their clubs and national teams.\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 55,\n \"completion_tokens\": 321,\n \"total_tokens\": 376,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" headers: CF-RAY: - - 999fee6968891768-EWR + - CF-RAY-XXX Connection: - keep-alive Content-Type: - application/json Date: - - Wed, 05 Nov 2025 22:54:09 GMT + - Thu, 12 Feb 2026 00:03:24 GMT Server: - cloudflare Strict-Transport-Security: - - max-age=31536000; includeSubDomains; preload + - STS-XXX Transfer-Encoding: - chunked X-Content-Type-Options: - - nosniff + - X-CONTENT-TYPE-XXX access-control-expose-headers: - - X-Request-ID + - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 cf-cache-status: - DYNAMIC openai-organization: - - REDACTED + - OPENAI-ORG-XXX openai-processing-ms: - - '665' + - '4897' openai-project: - - REDACTED + - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '683' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: - - '500' + - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: - - '200000' + - X-RATELIMIT-LIMIT-TOKENS-XXX x-ratelimit-remaining-requests: - - '499' + - X-RATELIMIT-REMAINING-REQUESTS-XXX x-ratelimit-remaining-tokens: - - '199634' + - X-RATELIMIT-REMAINING-TOKENS-XXX x-ratelimit-reset-requests: - - 120ms + - X-RATELIMIT-RESET-REQUESTS-XXX x-ratelimit-reset-tokens: - - 109ms + - X-RATELIMIT-RESET-TOKENS-XXX x-request-id: - - req_054a5f7245e548d0aab9b4e6d962d180 + - X-REQUEST-ID-XXX status: code: 200 message: OK - request: - body: '{"messages":[{"role":"system","content":"You are Sports Analyst. 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Jude Bellingham – A rising midfielder known for his work rate, vision, and maturity beyond his - years.\n10. Karim Benzema – Experienced forward with excellent technique, vision, and scoring ability, integral to his team’s success.\n\nThis list reflects a holistic view of current performances, influence on the pitch, and overall reputation across leagues and international competitions."},{"role":"user","content":"The provided list includes players from multiple nationalities rather than exclusively Brazilian players, thus violating the guardrail that requires only Brazilian players to be listed."}],"model":"gpt-4.1-mini"}' + body: '{"messages":[{"role":"system","content":"You are Sports Analyst. 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Here is a list of the top - 10 best soccer players in the world as of 2024, considering their recent performances, - skills, impact, and accolades:\\n\\n1. **Lionel Messi** \\n - Nationality: - Argentine \\n - Position: Forward \\n - Key Achievements: 7 Ballon d'Or - awards, led Argentina to 2021 Copa Am\xE9rica victory and 2022 FIFA World - Cup triumph, exceptional dribbling and playmaking skills.\\n\\n2. **Kylian - Mbapp\xE9** \\n - Nationality: French \\n - Position: Forward \\n - - Key Achievements: FIFA World Cup winner (2018), multiple Ligue 1 titles, known - for incredible speed, finishing, and consistency.\\n\\n3. **Erling Haaland** - \ \\n - Nationality: Norwegian \\n - Position: Striker \\n - Key Achievements: - Premier League Golden Boot winner (2022-23), prolific goal scorer, physical - presence, and finishing ability.\\n\\n4. **Karim Benzema** \\n - Nationality: - French \\n - Position: Forward \\n - Key Achievements: 2022 Ballon d'Or - winner, key player for Real Madrid\u2019s recent Champions League victories, - excellent technical skills and leadership.\\n\\n5. **Kevin De Bruyne** \\n - \ - Nationality: Belgian \\n - Position: Midfielder \\n - Key Achievements: - Premier League playmaker, known for vision, passing accuracy, and creativity.\\n\\n6. - **Robert Lewandowski** \\n - Nationality: Polish \\n - Position: Striker - \ \\n - Key Achievements: Multiple Bundesliga top scorer titles, consistent - goal scorer, known for positioning and finishing.\\n\\n7. **Neymar Jr.** \\n - \ - Nationality: Brazilian \\n - Position: Forward \\n - Key Achievements: - Exceptional dribbling, creativity, and flair; multiple domestic titles and - Copa Libertadores winner.\\n\\n8. **Mohamed Salah** \\n - Nationality: - Egyptian \\n - Position: Forward \\n - Key Achievements: Premier League - Golden Boot, consistent goal scoring with Liverpool, known for speed and finishing.\\n\\n9. - **Luka Modri\u0107** \\n - Nationality: Croatian \\n - Position: Midfielder - \ \\n - Key Achievements: 2018 Ballon d\u2019Or winner, pivotal midfield - maestro, excellent passing and control.\\n\\n10. **Thibaut Courtois** \\n - \ - Nationality: Belgian \\n - Position: Goalkeeper \\n - Key Achievements: - Exceptional shot-stopper, key player in Real Madrid's recent successes.\\n\\nThis - list includes a blend of forwards, midfielders, and a goalkeeper, showcasing - the best talents in various positions worldwide. The rankings may vary slightly - depending on current form and opinions, but these players consistently rank - among the best globally.\",\n \"refusal\": null,\n \"annotations\": - []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 68,\n \"completion_tokens\": - 575,\n \"total_tokens\": 643,\n \"prompt_tokens_details\": {\n \"cached_tokens\": - 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + 10 best soccer players in the world as of 2024, based on their recent performances, + skills, and overall impact in club and international football:\\n\\n1. **Lionel + Messi** \\n - Nationality: Argentina \\n - Clubs: Paris Saint-Germain + (PSG) / Inter Miami \\n - Highlights: Multiple Ballon d'Or winner, known + for exceptional dribbling, vision, and goal-scoring ability.\\n\\n2. **Kylian + Mbapp\xE9** \\n - Nationality: France \\n - Club: Paris Saint-Germain + (PSG) \\n - Highlights: Explosive pace, clinical finishing, World Cup winner, + young superstar with consistent top-level performances.\\n\\n3. **Erling Haaland** + \ \\n - Nationality: Norway \\n - Club: Manchester City \\n - Highlights: + Phenomenal goal scorer, physical dominance, breaking scoring records in the + Premier League.\\n\\n4. **Kevin De Bruyne** \\n - Nationality: Belgium + \ \\n - Club: Manchester City \\n - Highlights: World-class playmaker, + incredible passing range, and vision, key player in Manchester City's success.\\n\\n5. + **Karim Benzema** \\n - Nationality: France \\n - Club: Al-Ittihad \\n + \ - Highlights: Recent Ballon d'Or winner, technical skill, leadership, and + consistent goal contributions.\\n\\n6. **Luka Modri\u0107** \\n - Nationality: + Croatia \\n - Club: Real Madrid \\n - Highlights: Creative midfielder + known for passing, control, and leadership; 2018 Ballon d'Or winner.\\n\\n7. + **Mohamed Salah** \\n - Nationality: Egypt \\n - Club: Liverpool \\n + \ - Highlights: Speedy winger, prolific scorer, multiple Golden Boots in + the Premier League.\\n\\n8. **Neymar Jr.** \\n - Nationality: Brazil \\n + \ - Club: Paris Saint-Germain (PSG) / Al Hilal \\n - Highlights: Skillful + dribbling, creativity, and flair, key figure in club and national teams.\\n\\n9. + **Robert Lewandowski** \\n - Nationality: Poland \\n - Club: FC Barcelona + \ \\n - Highlights: Consistent goal scorer, intelligent striker, multiple + Bundesliga Golden Boots.\\n\\n10. **Vin\xEDcius J\xFAnior** \\n - Nationality: + Brazil \\n - Club: Real Madrid \\n - Highlights: Energetic winger + known for dribbling skills, assists, and recent breakthrough at Real Madrid.\\n\\nThis + list considers individual skill, achievements, consistency, and influence + in top football leagues and international competitions.\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 68,\n \"completion_tokens\": 537,\n \"total_tokens\": 605,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" @@ -384,7 +93,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 06 Feb 2026 18:41:57 GMT + - Wed, 11 Feb 2026 22:36:55 GMT Server: - cloudflare Strict-Transport-Security: @@ -402,11 +111,739 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '7948' + - '5998' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Sports Analyst. You are + an expert at gathering and organizing information. You carefully collect details + and present them in a structured way.\nYour personal goal is: Gather information + about the best soccer players"},{"role":"user","content":"\nCurrent Task: Top + 10 best players in the world?\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '404' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8D7HuYQiYNY5hftXH3uMc5KlFMUD\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849415,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Certainly! Here is a list of the top + 10 best soccer players in the world as of 2024, based on their recent performances, + influence, and achievements in club and international football.\\n\\n### Top + 10 Best Soccer Players in the World (2024)\\n\\n1. **Erling Haaland** \\n + \ - Club: Manchester City \\n - Position: Striker \\n - Highlights: + Haaland continues to dominate with his incredible goal-scoring ability, breaking + several Premier League records and being a key player for both club and country.\\n\\n2. + **Kylian Mbapp\xE9** \\n - Club: Paris Saint-Germain (PSG) \\n - Position: + Forward \\n - Highlights: Known for his speed, dribbling, and finishing, + Mbapp\xE9 remains one of the most dangerous attackers in the world and a leader + for France.\\n\\n3. **Lionel Messi** \\n - Club: Inter Miami / Argentina + \ \\n - Position: Forward / Playmaker \\n - Highlights: Even in the latter + stages of his career, Messi continues to produce magical moments, with leadership + roles at both club and international levels.\\n\\n4. **Kevin De Bruyne** \\n + \ - Club: Manchester City \\n - Position: Midfielder \\n - Highlights: + One of the best midfield creators, renowned for his vision, passing, and ability + to control the game.\\n\\n5. **Robert Lewandowski** \\n - Club: Barcelona + \ \\n - Position: Striker \\n - Highlights: An elite goal scorer with + clinical finishing, Lewandowski remains highly effective and consistent in + La Liga.\\n\\n6. **Mohamed Salah** \\n - Club: Liverpool \\n - Position: + Winger / Forward \\n - Highlights: Known for his pace, dribbling, and goal-scoring, + Salah is a crucial player in Liverpool\u2019s attack.\\n\\n7. **Karim Benzema** + \ \\n - Club: Al-Ittihad / France \\n - Position: Forward \\n - Highlights: + Despite moving to a less competitive league recently, Benzema\u2019s recent + form and legacy keep him among the top.\\n\\n8. **Vin\xEDcius J\xFAnior** + \ \\n - Club: Real Madrid \\n - Position: Winger \\n - Highlights: + A rising star with tremendous skill and impact, particularly noted for his + dribbling and goal contributions.\\n\\n9. **Jude Bellingham** \\n - Club: + Real Madrid \\n - Position: Midfielder \\n - Highlights: Young but already + one of the most versatile and effective midfielders globally, with great work + rate and creativity.\\n\\n10. **Neymar Jr.** \\n - Club: Al Hilal \\n + \ - Position: Forward \\n - Highlights: Despite injuries, Neymar\u2019s + skill and flair keep him notable, and he continues to influence games significantly.\\n\\n---\\n\\n### + Summary\\n\\nThese rankings take into account recent club and international + performances, consistency, influence on the pitch, and individual skill levels. + The landscape of football talent is always evolving, with young stars rising + rapidly and established players maintaining elite levels.\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 68,\n \"completion_tokens\": 619,\n \"total_tokens\": 687,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 22:37:04 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '8918' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Sports Analyst. You are + an expert at gathering and organizing information. You carefully collect details + and present them in a structured way.\nYour personal goal is: Gather information + about the best soccer players"},{"role":"user","content":"\nCurrent Task: Top + 10 best players in the world?\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '404' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8D7QFCOdWuG5ZIKo5pXrBdmQDWTv\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849424,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Certainly! Here is a list of the top + 10 best soccer players in the world as of 2024, based on their recent performances, + skill levels, achievements, and influence in the sport:\\n\\n1. **Lionel Messi** + \ \\n - Club: Inter Miami (MLS) \\n - National Team: Argentina \\n - + Key Achievements: 7 Ballon d'Or titles, multiple UEFA Champions League titles, + 2022 FIFA World Cup winner \\n - Strengths: Dribbling, playmaking, vision, + goal-scoring\\n\\n2. **Kylian Mbapp\xE9** \\n - Club: Paris Saint-Germain + (PSG) \\n - National Team: France \\n - Key Achievements: FIFA World + Cup winner (2018), multiple Ligue 1 titles, consistent top scorer \\n - + Strengths: Speed, finishing, positioning, dribbling\\n\\n3. **Erling Haaland** + \ \\n - Club: Manchester City \\n - National Team: Norway \\n - Key + Achievements: Premier League Golden Boot, UEFA Champions League top scorer + \ \\n - Strengths: Physicality, finishing, positioning, pace\\n\\n4. **Kevin + De Bruyne** \\n - Club: Manchester City \\n - National Team: Belgium + \ \\n - Key Achievements: Premier League titles, multiple Player of the + Season awards \\n - Strengths: Passing, vision, shooting, leadership\\n\\n5. + **Robert Lewandowski** \\n - Club: FC Barcelona \\n - National Team: + Poland \\n - Key Achievements: Multiple Bundesliga top scorer awards, UEFA + Best Forward \\n - Strengths: Finishing, positioning, strength, consistency\\n\\n6. + **Karim Benzema** \\n - Club: Al-Ittihad \\n - National Team: France + \ \\n - Key Achievements: Ballon d'Or 2022, multiple UEFA Champions League + titles \\n - Strengths: Technical skills, intelligence, finishing, link-up + play\\n\\n7. **Vin\xEDcius J\xFAnior** \\n - Club: Real Madrid \\n - + National Team: Brazil \\n - Key Achievements: La Liga titles, UEFA Champions + League winner \\n - Strengths: Dribbling, pace, creativity, goal-scoring\\n\\n8. + **Pedri** \\n - Club: FC Barcelona \\n - National Team: Spain \\n - + Key Achievements: Young Player of the Year awards, key playmaker roles for + club and country \\n - Strengths: Vision, passing, ball control, intelligence\\n\\n9. + **Jude Bellingham** \\n - Club: Real Madrid \\n - National Team: England + \ \\n - Key Achievements: Rising star in La Liga, key player for England + \ \\n - Strengths: Versatility, stamina, passing, leadership\\n\\n10. **Mohamed + Salah** \\n - Club: Liverpool \\n - National Team: Egypt \\n - + Key Achievements: Premier League Golden Boot, Champions League winner \\n + \ - Strengths: Speed, finishing, dribbling, consistency\\n\\nThis list reflects + the current top performers combining experience and emerging talent as of + 2024. Rankings may vary depending on different criteria and ongoing seasons. + If you want, I can provide a detailed profile or statistics for any of these + players.\",\n \"refusal\": null,\n \"annotations\": []\n },\n + \ \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n + \ \"usage\": {\n \"prompt_tokens\": 68,\n \"completion_tokens\": 667,\n + \ \"total_tokens\": 735,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 22:37:14 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '9616' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Sports Analyst. 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As of mid-2024, the list + of the top 10 best soccer players in the world generally reflects recent performances, + achievements, skill levels, and influence on the game. Here's a structured + overview:\\n\\n### Top 10 Best Soccer Players in the World (2024)\\n\\n| Rank + | Player Name | Nationality | Club (2024) | Position + \ | Key Highlights |\\n|-------|----------------------|----------------|----------------------|------------------|----------------------------------------------------------|\\n| + 1 | Lionel Messi | Argentina | Inter Miami CF | Forward + / Attacking Midfielder | Multiple Ballon d'Or awards; 2022 World Cup winner; + incredible creativity and scoring ability |\\n| 2 | Kylian Mbapp\xE9 | + France | Paris Saint-Germain | Forward | World Cup 2018 + winner; exceptional speed and finishing; consistent top scorer |\\n| 3 | + Erling Haaland | Norway | Manchester City | Striker | + FIFA Best Male Player 2022; prolific goal scorer; physical and technical strength + |\\n| 4 | Kevin De Bruyne | Belgium | Manchester City | + Midfielder | Exceptional vision and passing; key player in recent Premier + League and Champions League runs |\\n| 5 | Karim Benzema | France + \ | Al-Ittihad | Striker | 2022 Ballon d'Or winner; + technical brilliance and leadership |\\n| 6 | Pedri | Spain + \ | FC Barcelona | Midfielder | Young prodigy; excellent + vision and skill; instrumental for club and country |\\n| 7 | Vin\xEDcius + J\xFAnior | Brazil | Real Madrid | Winger | + Rapid pace, dribbling skills; vital for Real Madrid\u2019s attack |\\n| 8 + \ | Robert Lewandowski | Poland | FC Barcelona | Striker + \ | Consistent top scorer; excellent positioning and finishing |\\n| + 9 | Jude Bellingham | England | Real Madrid | Midfielder + \ | Young star; all-around skills; growing influence in midfield |\\n| + 10 | Mohamed Salah | Egypt | Liverpool | Forward/Winger + \ | Exceptional goal threat; consistent performance in Premier League |\\n\\n### + Notes:\\n- This ranking reflects a combination of individual skill, recent + achievements, and influence over their teams and international football.\\n- + The list includes a mix of experienced veterans and emerging young talents.\\n- + Clubs listed are as per their primary affiliation in 2024.\\n\\nIf you want + specific statistics, awards, or more players, please let me know!\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 68,\n \"completion_tokens\": 536,\n \"total_tokens\": 604,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 22:37:21 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '7157' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Sports Analyst. You are + an expert at gathering and organizing information. You carefully collect details + and present them in a structured way.\nYour personal goal is: Gather information + about the best soccer players"},{"role":"user","content":"\nCurrent Task: Top + 10 best players in the world?\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '404' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8D7hCb2o2QeBMFI0KZZ5mfbSmze8\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849441,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Certainly! Here is a list of the top + 10 best soccer players in the world as of 2024, based on recent performances, + achievements, and overall impact on the game:\\n\\n### Top 10 Best Soccer + Players in the World (2024)\\n\\n1. **Kylian Mbapp\xE9** \\n - Nationality: + French \\n - Position: Forward \\n - Current Club: Paris Saint-Germain + (PSG) \\n - Highlights: Renowned for his incredible speed, dribbling, and + goal-scoring ability. Key player for both PSG and the French national team.\\n\\n2. + **Erling Haaland** \\n - Nationality: Norwegian \\n - Position: Striker + \ \\n - Current Club: Manchester City \\n - Highlights: Prolific goal + scorer known for his physicality, clinical finishing, and consistency.\\n\\n3. + **Lionel Messi** \\n - Nationality: Argentine \\n - Position: Forward + \ \\n - Current Club: Inter Miami \\n - Highlights: Record-breaking career + with exceptional playmaking, dribbling, and vision. Continues to perform at + a high level.\\n\\n4. **Karim Benzema** \\n - Nationality: French \\n + \ - Position: Forward \\n - Current Club: Al-Ittihad \\n - Highlights: + Experienced striker with great technical skills, leader on and off the pitch.\\n\\n5. + **Kevin De Bruyne** \\n - Nationality: Belgian \\n - Position: Midfielder + \ \\n - Current Club: Manchester City \\n - Highlights: One of the best + playmakers in the world, known for his passing, vision, and long-range shots.\\n\\n6. + **Mohamed Salah** \\n - Nationality: Egyptian \\n - Position: Forward/Winger + \ \\n - Current Club: Liverpool \\n - Highlights: Fast, skillful winger + with an eye for goal. Integral to Liverpool\u2019s attacking play.\\n\\n7. + **Robert Lewandowski** \\n - Nationality: Polish \\n - Position: Striker + \ \\n - Current Club: FC Barcelona \\n - Highlights: Consistent goal + scorer with excellent positioning and finishing skills.\\n\\n8. **Vin\xEDcius + J\xFAnior** \\n - Nationality: Brazilian \\n - Position: Winger \\n + \ - Current Club: Real Madrid \\n - Highlights: Emerging young talent + known for pace, dribbling, and creativity.\\n\\n9. **Thibaut Courtois** \\n + \ - Nationality: Belgian \\n - Position: Goalkeeper \\n - Current Club: + Real Madrid \\n - Highlights: One of the best goalkeepers globally with + outstanding reflexes and command of the penalty area.\\n\\n10. **Jude Bellingham** + \ \\n - Nationality: English \\n - Position: Midfielder \\n - Current + Club: Real Madrid \\n - Highlights: Young, versatile midfielder with maturity + beyond his years, excellent passing, and work rate.\\n\\n---\\n\\n### Notes:\\n- + This list reflects a mixture of attacking and defensive talents, including + goalkeepers and midfielders.\\n- The players are chosen based on a combination + of individual skills, recent statistics, influence in important matches, and + overall consistency.\\n\\nIf you want, I can provide detailed statistics or + profiles for any specific player!\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 68,\n \"completion_tokens\": + 656,\n \"total_tokens\": 724,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 22:37:29 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '8025' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Sports Analyst. You are + an expert at gathering and organizing information. 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Here's a list of the top + 10 best soccer players in the world as of 2024, based on recent performances, + achievements, and overall impact at both club and international levels:\\n\\n### + Top 10 Best Soccer Players in the World (2024)\\n\\n| Rank | Player | + Nationality | Current Club | Position | Key Highlights + (2023-2024) |\\n|-------|----------------------|------------------|---------------------|--------------------|---------------------------------------------------------------|\\n| + 1 | Lionel Messi | Argentina | Inter Miami | Forward + \ | Led Argentina to Copa America win, MLS standout, consistently + top scorer. |\\n| 2 | Kylian Mbapp\xE9 | France | Paris + Saint-Germain | Forward | Top scorer in Ligue 1, key player in + World Cup 2022 aftermath, Champions League performer. |\\n| 3 | Erling + Haaland | Norway | Manchester City | Striker | + Premier League top scorer, UEFA Champions League winner, prolific goal scorer. + |\\n| 4 | Kevin De Bruyne | Belgium | Manchester City | + Midfielder | Playmaker extraordinaire, assists leader in Premier League. + |\\n| 5 | Karim Benzema | France | Al-Ittihad | + Forward | Ballon d\u2019Or 2022 winner, consistent goal scoring, + leadership qualities. |\\n| 6 | Mohamed Salah | Egypt | + Liverpool | Winger/Forward | Premier League top scorer, key + in Liverpool's attacking lineup. |\\n| 7 | Robert Lewandowski | Poland + \ | Barcelona | Striker | Consistent goal scorer, + vital for Barcelona\u2019s attack. |\\n| 8 | Vin\xEDcius J\xFAnior | + Brazil | Real Madrid | Winger | Key player in + Real Madrid\u2019s recent domestic and European successes. |\\n| 9 | Jude + Bellingham | England | Real Madrid | Midfielder | + Young talent with impressive performances in La Liga and Champions League. + |\\n| 10 | Luka Modri\u0107 | Croatia | Real Madrid | + Midfielder | Veteran leader, elegant playmaker, still impactful in + midfield. |\\n\\n### Summary:\\n- The list blends established superstars and + emerging talents.\\n- Players are chosen based on recent form, titles, and + influence on the game.\\n- Positions covered include forwards, midfielders, + and wingers, reflecting the diversity of top talent.\\n\\nIf you need information + on specific players or different categories like defenders or goalkeepers, + please let me know!\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 68,\n \"completion_tokens\": + 532,\n \"total_tokens\": 600,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 22:37:38 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; 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ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '860' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/test_lite_agent_standalone_still_works.yaml b/lib/crewai/tests/cassettes/agents/test_lite_agent_standalone_still_works.yaml index d3f8bb9e5..adb5a8533 100644 --- a/lib/crewai/tests/cassettes/agents/test_lite_agent_standalone_still_works.yaml +++ b/lib/crewai/tests/cassettes/agents/test_lite_agent_standalone_still_works.yaml @@ -1,4 +1,72 @@ interactions: +- request: + body: '{"trace_id": "47522924-2d46-4bb1-984f-24bb00dbd17f", "execution_type": + "crew", "user_identifier": null, "execution_context": {"crew_fingerprint": null, + "crew_name": "Unknown Crew", "flow_name": null, "crewai_version": "1.9.3", "privacy_level": + "standard"}, "execution_metadata": {"expected_duration_estimate": 300, "agent_count": + 0, "task_count": 0, "flow_method_count": 0, "execution_started_at": "2026-02-11T22:35:49.880656+00:00"}}' + headers: + Accept: + - '*/*' + Connection: + - keep-alive + Content-Length: + - '434' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + X-Crewai-Version: + - 1.9.3 + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + method: POST + uri: https://app.crewai.com/crewai_plus/api/v1/tracing/batches + response: + body: + string: '{"error":"bad_credentials","message":"Bad credentials"}' + headers: + Connection: + - keep-alive + Content-Length: + - '55' + Content-Type: + - application/json; 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ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '246' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/test_lite_agent_structured_output.yaml b/lib/crewai/tests/cassettes/agents/test_lite_agent_structured_output.yaml index 789ee26c5..573e6d88b 100644 --- a/lib/crewai/tests/cassettes/agents/test_lite_agent_structured_output.yaml +++ b/lib/crewai/tests/cassettes/agents/test_lite_agent_structured_output.yaml @@ -49,11 +49,11 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D3XswIAt7aJQjbtY9ot8oOaDAz3O3\",\n \"object\": - \"chat.completion\",\n \"created\": 1769737610,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8D4CUPSBzsEdAkJywDoE1VycYrf6\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849224,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_IgPvgMBc8SA2wOhDVnyoddZZ\",\n \"type\": + \ \"id\": \"call_vAsoTR10d8R8cccsyozh2JD0\",\n \"type\": \"function\",\n \"function\": {\n \"name\": \"search_web\",\n \ \"arguments\": \"{\\\"query\\\":\\\"current population of Tokyo 2023\\\"}\"\n }\n }\n ],\n \"refusal\": @@ -63,7 +63,7 @@ interactions: {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_1590f93f9d\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -72,11 +72,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 01:46:51 GMT + - Wed, 11 Feb 2026 22:33:45 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -92,11 +90,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '775' + - '760' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -163,11 +163,11 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D3Xsx4tMKwKrI7Ow9Iz2WLxr4VB1h\",\n \"object\": - \"chat.completion\",\n \"created\": 1769737611,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8D4DZ8cw4CY65knUF8puO7ZSR4Gp\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849225,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_DZ0lv0nDhSQGORkfuH310OfZ\",\n \"type\": + \ \"id\": \"call_ll45v9MQlx6m3SqeGajJGtzq\",\n \"type\": \"function\",\n \"function\": {\n \"name\": \"search_web\",\n \ \"arguments\": \"{\\\"query\\\":\\\"current population of Tokyo 2023\\\"}\"\n }\n }\n ],\n \"refusal\": @@ -177,7 +177,7 @@ interactions: {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_1590f93f9d\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -186,7 +186,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 01:46:52 GMT + - Wed, 11 Feb 2026 22:33:46 GMT Server: - cloudflare Strict-Transport-Security: @@ -204,11 +204,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '573' + - '595' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -232,8 +234,8 @@ interactions: body: '{"messages":[{"role":"system","content":"You are Info Gatherer. 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'1879' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-helper-method: + - beta.chat.completions.parse + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8D4IHsAKp6TfoidQI8GJ400ODqID\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849230,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"{\\\"summary\\\":\\\"Tokyo's population + in 2023 is approximately 21 million in the city proper and 37 million in the + greater metropolitan area.\\\",\\\"confidence\\\":90}\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 352,\n \"completion_tokens\": 33,\n \"total_tokens\": 385,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 22:33:50 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '688' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/test_lite_agent_with_tools.yaml b/lib/crewai/tests/cassettes/agents/test_lite_agent_with_tools.yaml index 81c89e392..0bba5178d 100644 --- a/lib/crewai/tests/cassettes/agents/test_lite_agent_with_tools.yaml +++ b/lib/crewai/tests/cassettes/agents/test_lite_agent_with_tools.yaml @@ -4,9 +4,8 @@ interactions: are a helpful research assistant who can search for information about the population of Tokyo.\nYour personal goal is: Find information about the population of Tokyo"},{"role":"user","content":"\nCurrent Task: What is the population of Tokyo and how many people would that be per - square kilometer if Tokyo''s area is 2,194 square kilometers?\n\nThis is VERY - important to you, your job depends on it!"}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_web","description":"Search - the web for information about a topic.","parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object"}}}]}' + square kilometer if Tokyo''s area is 2,194 square kilometers?"}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_web","description":"Search + the web for information about a topic.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -19,7 +18,7 @@ interactions: connection: - keep-alive content-length: - - '752' + - '737' content-type: - application/json host: @@ -46,21 +45,21 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - 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\"default\",\n \"system_fingerprint\": \"fp_c4585b5b9c\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_373a14eb6f\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -69,11 +68,9 @@ interactions: Content-Type: - application/json Date: - - Thu, 22 Jan 2026 18:16:26 GMT + - Thu, 12 Feb 2026 22:22:46 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -89,13 +86,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '646' + - '820' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '666' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -120,14 +117,11 @@ interactions: are a helpful research assistant who can search for information about the population of Tokyo.\nYour personal goal is: Find information about the population of Tokyo"},{"role":"user","content":"\nCurrent Task: What is the population of Tokyo and how many people would that be per - square kilometer if Tokyo''s area is 2,194 square kilometers?\n\nThis is VERY - important to you, your job depends on it!"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_SDEJLw8giXTnpn5F0rSPgSO6","type":"function","function":{"name":"search_web","arguments":"{\"query\":\"current - population of Tokyo 2023\"}"}}]},{"role":"tool","tool_call_id":"call_SDEJLw8giXTnpn5F0rSPgSO6","content":"Tokyo''s + square kilometer if Tokyo''s area is 2,194 square kilometers?"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_xHt7bWBXRZDd5s3BgOyKj9Dr","type":"function","function":{"name":"search_web","arguments":"{\"query\":\"current + population of Tokyo 2023\"}"}}]},{"role":"tool","tool_call_id":"call_xHt7bWBXRZDd5s3BgOyKj9Dr","name":"search_web","content":"Tokyo''s population in 2023 was approximately 21 million people in the city proper, and - 37 million in the greater metropolitan area."},{"role":"user","content":"Analyze - the tool result. If requirements are met, provide the Final Answer. Otherwise, - call the next tool. Deliver only the answer without meta-commentary."}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_web","description":"Search - the web for information about a topic.","parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object"}}}]}' + 37 million in the greater metropolitan area."}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_web","description":"Search + the web for information about a topic.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -140,7 +134,7 @@ interactions: connection: - keep-alive content-length: - - '1347' + - '1168' content-type: - application/json cookie: @@ -169,19 +163,24 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0tWFH0RTZQzqCOqB6oE7YaXUpwpt\",\n \"object\": - \"chat.completion\",\n \"created\": 1769105787,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8ZN8gRx8GsQXjbVe1AdS2fgS2s7g\",\n \"object\": + \"chat.completion\",\n \"created\": 1770934966,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"The population of Tokyo in 2023 is - approximately 21 million people. Given Tokyo's area of 2,194 square kilometers, - the population density is about 9,573 people per square kilometer.\",\n \"refusal\": + \"assistant\",\n \"content\": \"The current population of Tokyo in + 2023 is approximately 21 million people in the city proper. \\n\\nTo find + the population density (people per square kilometer), we can use the following + formula:\\n\\n\\\\[\\n\\\\text{Population Density} = \\\\frac{\\\\text{Population}}{\\\\text{Area}}\\n\\\\]\\n\\nGiven + that Tokyo's area is 2,194 square kilometers:\\n\\n\\\\[\\n\\\\text{Population + Density} = \\\\frac{21,000,000 \\\\text{ people}}{2,194 \\\\text{ km}^2} \\\\approx + 9,570 \\\\text{ people/km}^2\\n\\\\]\\n\\nThus, the population density of + Tokyo is approximately 9,570 people per square kilometer.\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 220,\n \"completion_tokens\": 42,\n \"total_tokens\": 262,\n \"prompt_tokens_details\": + 172,\n \"completion_tokens\": 145,\n \"total_tokens\": 317,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_c4585b5b9c\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_373a14eb6f\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -190,7 +189,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 22 Jan 2026 18:16:27 GMT + - Thu, 12 Feb 2026 22:22:49 GMT Server: - cloudflare Strict-Transport-Security: @@ -208,13 +207,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '907' + - '3116' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '973' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -238,9 +237,8 @@ interactions: body: '{"messages":[{"role":"system","content":"You are Research Assistant. You are a helpful research assistant who can search for information about the population of Tokyo.\nYour personal goal is: Find information about the population of Tokyo"},{"role":"user","content":"\nCurrent - Task: What are the effects of climate change on coral reefs?\n\nThis is VERY - important to you, your job depends on it!"}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_web","description":"Search - the web for information about a topic.","parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object"}}}]}' + Task: What are the effects of climate change on coral reefs?"}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_web","description":"Search + the web for information about a topic.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -253,7 +251,7 @@ interactions: connection: - keep-alive content-length: - - '676' + - '661' content-type: - application/json cookie: @@ -282,21 +280,21 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0tWGhLco3obH1zYP6PqrxHOzr58H\",\n \"object\": - \"chat.completion\",\n \"created\": 1769105788,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8ZNBk5TYpwCnSSMgPcTEeasE7G1J\",\n \"object\": + \"chat.completion\",\n \"created\": 1770934969,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_2QbttIDG2E7pyHGU5y0VMZYI\",\n \"type\": + \ \"id\": \"call_pM5HfiZm56h6UY7WWi9w5EQo\",\n \"type\": \"function\",\n \"function\": {\n \"name\": \"search_web\",\n \ \"arguments\": \"{\\\"query\\\":\\\"effects of climate change on coral reefs\\\"}\"\n }\n }\n ],\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \ \"finish_reason\": \"tool_calls\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 112,\n \"completion_tokens\": 20,\n \"total_tokens\": 132,\n \"prompt_tokens_details\": + 99,\n \"completion_tokens\": 20,\n \"total_tokens\": 119,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_c4585b5b9c\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -305,7 +303,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 22 Jan 2026 18:16:28 GMT + - Thu, 12 Feb 2026 22:22:50 GMT Server: - cloudflare Strict-Transport-Security: @@ -323,13 +321,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '567' + - '483' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '584' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -353,16 +351,13 @@ interactions: body: '{"messages":[{"role":"system","content":"You are Research Assistant. You are a helpful research assistant who can search for information about the population of Tokyo.\nYour personal goal is: Find information about the population of Tokyo"},{"role":"user","content":"\nCurrent - Task: What are the effects of climate change on coral reefs?\n\nThis is VERY - important to you, your job depends on it!"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_2QbttIDG2E7pyHGU5y0VMZYI","type":"function","function":{"name":"search_web","arguments":"{\"query\":\"effects - of climate change on coral reefs\"}"}}]},{"role":"tool","tool_call_id":"call_2QbttIDG2E7pyHGU5y0VMZYI","content":"Climate + Task: What are the effects of climate change on coral reefs?"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_pM5HfiZm56h6UY7WWi9w5EQo","type":"function","function":{"name":"search_web","arguments":"{\"query\":\"effects + of climate change on coral reefs\"}"}}]},{"role":"tool","tool_call_id":"call_pM5HfiZm56h6UY7WWi9w5EQo","name":"search_web","content":"Climate change severely impacts coral reefs through: 1) Ocean warming causing coral bleaching, 2) Ocean acidification reducing calcification, 3) Sea level rise affecting light availability, 4) Increased storm frequency damaging reef structures. - Sources: NOAA Coral Reef Conservation Program, Global Coral Reef Alliance."},{"role":"user","content":"Analyze - the tool result. If requirements are met, provide the Final Answer. Otherwise, - call the next tool. Deliver only the answer without meta-commentary."}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_web","description":"Search - the web for information about a topic.","parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object"}}}]}' + Sources: NOAA Coral Reef Conservation Program, Global Coral Reef Alliance."}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"search_web","description":"Search + the web for information about a topic.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -375,7 +370,7 @@ interactions: connection: - keep-alive content-length: - - '1467' + - '1288' content-type: - application/json cookie: @@ -404,24 +399,29 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0tWGy9RIEM5ioFwhUbwGssr4LoAo\",\n \"object\": - \"chat.completion\",\n \"created\": 1769105788,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8ZNCfVJ8SjsPUcwDFEXkhJZIv59Z\",\n \"object\": + \"chat.completion\",\n \"created\": 1770934970,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Climate change severely impacts coral - reefs through the following effects:\\n\\n1. Ocean warming leads to coral - bleaching, which occurs when corals expel the symbiotic algae (zooxanthellae) - that provide them with food and color.\\n2. Ocean acidification reduces the - ability of corals to calcify and build their skeletons, weakening their structures.\\n3. - Sea level rise affects light availability, which is crucial for coral photosynthesis.\\n4. - Increased storm frequency and intensity result in physical damage to reef - structures.\",\n \"refusal\": null,\n \"annotations\": []\n - \ },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n - \ ],\n \"usage\": {\n \"prompt_tokens\": 235,\n \"completion_tokens\": - 103,\n \"total_tokens\": 338,\n \"prompt_tokens_details\": {\n \"cached_tokens\": - 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + \"assistant\",\n \"content\": \"Climate change has significant effects + on coral reefs, including:\\n\\n1. **Ocean Warming**: Increased temperatures + lead to coral bleaching, a stress response where corals expel the algae (zooxanthellae) + that live in their tissues, causing them to lose their color and vital energy + source.\\n\\n2. **Ocean Acidification**: As CO2 levels rise, oceans absorb + more carbon dioxide, leading to increased acidity. This reduces the ability + of corals to calcify, weakening their structures and making it harder for + them to grow.\\n\\n3. **Sea Level Rise**: Rising sea levels impact the availability + of light for corals, which depend on sunlight for photosynthesis, potentially + limiting their growth.\\n\\n4. **Increased Storm Frequency**: More frequent + and intense storms can physically damage coral structures, leading to further + degradation of reef ecosystems.\\n\\nThese factors combined jeopardize coral + health, biodiversity, and the ecosystems that depend on coral reefs.\",\n + \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": + null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 187,\n \"completion_tokens\": 189,\n \"total_tokens\": 376,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_c4585b5b9c\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -430,7 +430,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 22 Jan 2026 18:16:31 GMT + - Thu, 12 Feb 2026 22:22:54 GMT Server: - cloudflare Strict-Transport-Security: @@ -448,13 +448,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '2311' + - '4432' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '2408' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/test_multiple_agents_in_same_flow.yaml b/lib/crewai/tests/cassettes/agents/test_multiple_agents_in_same_flow.yaml index e66c25d99..dd9395357 100644 --- a/lib/crewai/tests/cassettes/agents/test_multiple_agents_in_same_flow.yaml +++ b/lib/crewai/tests/cassettes/agents/test_multiple_agents_in_same_flow.yaml @@ -37,19 +37,20 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.5 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D6L4A8Aad6P1YUxWjQpvyltn8GaKT\",\n \"object\": - \"chat.completion\",\n \"created\": 1770403318,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8D6IRVHuxb9etOXShAirH2LTG35c\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849354,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Hello! \U0001F60A How are you today?\",\n - \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": - null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 41,\n \"completion_tokens\": 8,\n \"total_tokens\": 49,\n \"prompt_tokens_details\": - {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + \"assistant\",\n \"content\": \"Hello! Welcome! How can I assist you + today? \U0001F60A\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 41,\n \"completion_tokens\": + 12,\n \"total_tokens\": 53,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" @@ -61,11 +62,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 06 Feb 2026 18:41:58 GMT + - Wed, 11 Feb 2026 22:35:54 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -81,11 +80,122 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '325' + - '386' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are First Agent. A friendly + greeter\nYour personal goal is: Greet users"},{"role":"user","content":"\nCurrent + Task: Say hello\n\nProvide your complete response:"}],"model":"gpt-4o-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '231' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8D6Iwpyypu8SwwoB21Hbl3s75s5Q\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849354,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Hello! Welcome! How can I assist you + today?\",\n \"refusal\": null,\n \"annotations\": []\n },\n + \ \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n + \ \"usage\": {\n \"prompt_tokens\": 41,\n \"completion_tokens\": 11,\n + \ \"total_tokens\": 52,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 22:35:54 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '366' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -143,21 +253,21 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.5 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D6L4BLMYC3ODccwbKfBIdtrEyd3no\",\n \"object\": - \"chat.completion\",\n \"created\": 1770403319,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8D6JOpRyjGqvUwy6qF537EF4q96x\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849355,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Thank you for the time we've spent - together! I wish you all the best in your future endeavors. Take care, and - until we meet again, goodbye!\",\n \"refusal\": null,\n \"annotations\": - []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 40,\n \"completion_tokens\": - 31,\n \"total_tokens\": 71,\n \"prompt_tokens_details\": {\n \"cached_tokens\": - 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + \"assistant\",\n \"content\": \"Thank you for the conversation! It\u2019s + been a pleasure assisting you. If you have any more questions in the future, + don\u2019t hesitate to reach out. Wishing you a wonderful day ahead! Goodbye!\",\n + \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": + null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 40,\n \"completion_tokens\": 41,\n \"total_tokens\": 81,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" @@ -169,11 +279,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 06 Feb 2026 18:41:59 GMT + - Wed, 11 Feb 2026 22:35:55 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -189,11 +297,122 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '726' + - '750' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Second Agent. A polite + farewell agent\nYour personal goal is: Say goodbye"},{"role":"user","content":"\nCurrent + Task: Say goodbye\n\nProvide your complete response:"}],"model":"gpt-4o-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '239' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8D6JRksZGAfamTJAQ7iXw7rjYNn3\",\n \"object\": + \"chat.completion\",\n \"created\": 1770849355,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"Thank you for your time and conversation! + I hope you have a wonderful day ahead. Goodbye!\",\n \"refusal\": null,\n + \ \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": + \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": 40,\n \"completion_tokens\": + 19,\n \"total_tokens\": 59,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Wed, 11 Feb 2026 22:35:56 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '615' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/test_native_tool_calling_error_handling.yaml b/lib/crewai/tests/cassettes/agents/test_native_tool_calling_error_handling.yaml index c61d2c034..7aeff9eec 100644 --- a/lib/crewai/tests/cassettes/agents/test_native_tool_calling_error_handling.yaml +++ b/lib/crewai/tests/cassettes/agents/test_native_tool_calling_error_handling.yaml @@ -38,16 +38,16 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.5 + - 3.13.3 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D6L3dV6acwapgRyxmnzGfuOXemtjJ\",\n \"object\": - \"chat.completion\",\n \"created\": 1770403285,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8WiD7LANk0TjKGz9LxpSZNDC7cHq\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924741,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_GCdaOdo32pr1sSk4RzO0tiB9\",\n \"type\": + \ \"id\": \"call_1AVztbLyB2XAoSHSM8GVXJEM\",\n \"type\": \"function\",\n \"function\": {\n \"name\": \"failing_tool\",\n \ \"arguments\": \"{}\"\n }\n }\n ],\n \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": @@ -57,7 +57,7 @@ interactions: 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \ \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_6c0d1490cb\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -66,11 +66,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 06 Feb 2026 18:41:25 GMT + - Thu, 12 Feb 2026 19:32:22 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -86,11 +84,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '436' + - '579' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -113,7 +113,7 @@ interactions: - request: body: '{"messages":[{"role":"system","content":"You are Calculator. 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application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01WBiUkWaCjUxVKAj1L4SJ1j","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Kza2pLV8aZu6xADurmw8ms","name":"structured_output","input":{"topic":"Benefits + of Remote Work","summary":"Remote work offers significant advantages for both + employees and employers, transforming traditional work environments and increasing + overall productivity and satisfaction.","key_points":["Increased flexibility + in work schedule","Elimination of commute time and associated stress","Cost + savings for both employees and employers","Improved work-life balance","Access + to a broader talent pool","Enhanced employee productivity and job satisfaction"]}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":589,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":144,"service_tier":"standard","inference_geo":"not_available"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 22:11:18 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2026-02-12T22:11:16Z' + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2474' status: code: 200 message: OK diff --git a/lib/crewai/tests/cassettes/llms/azure/test_azure_agent_kickoff_structured_output_with_tools.yaml b/lib/crewai/tests/cassettes/llms/azure/test_azure_agent_kickoff_structured_output_with_tools.yaml index 6b025ab42..bd74ea003 100644 --- a/lib/crewai/tests/cassettes/llms/azure/test_azure_agent_kickoff_structured_output_with_tools.yaml +++ b/lib/crewai/tests/cassettes/llms/azure/test_azure_agent_kickoff_structured_output_with_tools.yaml @@ -41,7 +41,7 @@ interactions: uri: https://fake-azure-endpoint.openai.azure.com/openai/deployments/gpt-4o-mini/chat/completions?api-version=2024-12-01-preview response: body: - string: '{"choices":[{"content_filter_results":{},"finish_reason":"tool_calls","index":0,"logprobs":null,"message":{"annotations":[],"content":null,"refusal":null,"role":"assistant","tool_calls":[{"function":{"arguments":"{\"a\":15,\"b\":27}","name":"add_numbers"},"id":"call_xvUi7xS7jtnRyG6NIhRvbb5r","type":"function"}]}}],"created":1769734374,"id":"chatcmpl-D3X2kUbUq9WXlKVGu2D7h6pWVCx0E","model":"gpt-4o-mini-2024-07-18","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_f97eff32c5","usage":{"completion_tokens":19,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":194,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":213}} + string: '{"choices":[{"content_filter_results":{},"finish_reason":"tool_calls","index":0,"logprobs":null,"message":{"annotations":[],"content":null,"refusal":null,"role":"assistant","tool_calls":[{"function":{"arguments":"{\"a\":15,\"b\":27}","name":"add_numbers"},"id":"call_yusjHcc6BMO8J3LrKrcXty8H","type":"function"}]}}],"created":1770924745,"id":"chatcmpl-D8WiHWZdT70mZzSjfHU4KxssiHOrW","model":"gpt-4o-mini-2024-07-18","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_f97eff32c5","usage":{"completion_tokens":19,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":194,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":213}} ' headers: @@ -50,7 +50,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 00:52:53 GMT + - Thu, 12 Feb 2026 19:32:25 GMT Strict-Transport-Security: - STS-XXX apim-request-id: @@ -87,9 +87,9 @@ interactions: a calculator assistant that uses tools to compute results.\nYour personal goal is: Perform calculations using available tools"}, {"role": "user", "content": "\nCurrent Task: Calculate 15 + 27 using your add_numbers tool. Report the result."}, - {"role": "assistant", "content": "", "tool_calls": [{"id": "call_xvUi7xS7jtnRyG6NIhRvbb5r", + {"role": "assistant", "content": "", "tool_calls": [{"id": "call_yusjHcc6BMO8J3LrKrcXty8H", "type": "function", "function": {"name": "add_numbers", "arguments": "{\"a\":15,\"b\":27}"}}]}, - {"role": "tool", "tool_call_id": "call_xvUi7xS7jtnRyG6NIhRvbb5r", "content": + {"role": "tool", "tool_call_id": "call_yusjHcc6BMO8J3LrKrcXty8H", "content": "42"}], "stream": false, "response_format": {"type": "json_schema", "json_schema": {"name": "CalculationResult", "schema": {"description": "Structured output for calculation results.", "properties": {"operation": {"description": "The mathematical @@ -128,16 +128,104 @@ interactions: response: body: string: '{"choices":[{"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"protected_material_code":{"filtered":false,"detected":false},"protected_material_text":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}},"finish_reason":"stop","index":0,"logprobs":null,"message":{"annotations":[],"content":"{\"operation\":\"addition\",\"result\":42,\"explanation\":\"The - sum of 15 and 27 is calculated as 15 + 27 = 42.\"}","refusal":null,"role":"assistant"}}],"created":1769734375,"id":"chatcmpl-D3X2lupVq0RsIVdaZc2XqZpm4EmSW","model":"gpt-4o-mini-2024-07-18","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_f97eff32c5","usage":{"completion_tokens":39,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":221,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":260}} + sum of 15 and 27 is calculated by adding the two numbers together.\"}","refusal":null,"role":"assistant"}}],"created":1770924746,"id":"chatcmpl-D8WiIERCCHweoIg40FlrI8MaMO3SR","model":"gpt-4o-mini-2024-07-18","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_f97eff32c5","usage":{"completion_tokens":36,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":221,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":257}} ' headers: Content-Length: - - '1327' + - '1346' Content-Type: - application/json Date: - - Fri, 30 Jan 2026 00:52:55 GMT + - Thu, 12 Feb 2026 19:32:26 GMT + Strict-Transport-Security: + - STS-XXX + apim-request-id: + - APIM-REQUEST-ID-XXX + azureml-model-session: + - AZUREML-MODEL-SESSION-XXX + x-accel-buffering: + - 'no' + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + x-ms-deployment-name: + - gpt-4o-mini + x-ms-rai-invoked: + - 'true' + x-ms-region: + - X-MS-REGION-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages": [{"role": "system", "content": "You are Calculator. You are + a calculator assistant that uses tools to compute results.\nYour personal goal + is: Perform calculations using available tools"}, {"role": "user", "content": + "\nCurrent Task: Calculate 15 + 27 using your add_numbers tool. Report the result."}, + {"role": "assistant", "content": "", "tool_calls": [{"id": "call_yusjHcc6BMO8J3LrKrcXty8H", + "type": "function", "function": {"name": "add_numbers", "arguments": "{\"a\":15,\"b\":27}"}}]}, + {"role": "tool", "tool_call_id": "call_yusjHcc6BMO8J3LrKrcXty8H", "content": + "42"}, {"role": "assistant", "content": "{\"operation\":\"addition\",\"result\":42,\"explanation\":\"The + sum of 15 and 27 is calculated by adding the two numbers together.\"}"}], "stream": + false, "response_format": {"type": "json_schema", "json_schema": {"name": "CalculationResult", + "schema": {"description": "Structured output for calculation results.", "properties": + {"operation": {"description": "The mathematical operation performed", "title": + "Operation", "type": "string"}, "result": {"description": "The result of the + calculation", "title": "Result", "type": "integer"}, "explanation": {"description": + "Brief explanation of the calculation", "title": "Explanation", "type": "string"}}, + "required": ["operation", "result", "explanation"], "title": "CalculationResult", + "type": "object", "additionalProperties": false}, "description": "Schema for + CalculationResult", "strict": true}}, "stop": ["\nObservation:"], "tool_choice": + "auto", "tools": [{"function": {"name": "add_numbers", "description": "Add two + numbers together and return the sum.", "parameters": {"properties": {"a": {"title": + "A", "type": "integer"}, "b": {"title": "B", "type": "integer"}}, "required": + ["a", "b"], "type": "object", "additionalProperties": false}}, "type": "function"}]}' + headers: + Accept: + - application/json + Connection: + - keep-alive + Content-Length: + - '1840' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + accept-encoding: + - ACCEPT-ENCODING-XXX + api-key: + - X-API-KEY-XXX + authorization: + - AUTHORIZATION-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + method: POST + uri: https://fake-azure-endpoint.openai.azure.com/openai/deployments/gpt-4o-mini/chat/completions?api-version=2024-12-01-preview + response: + body: + string: '{"choices":[{"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"protected_material_code":{"filtered":false,"detected":false},"protected_material_text":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}},"finish_reason":"stop","index":0,"logprobs":null,"message":{"annotations":[],"content":"{\"operation\":\"addition\",\"result\":42,\"explanation\":\"The + sum of 15 and 27 is calculated by adding the two numbers together.\"}","refusal":null,"role":"assistant"}}],"created":1770924747,"id":"chatcmpl-D8WiJW94I74LHB1PFgHCjFnJDpwKD","model":"gpt-4o-mini-2024-07-18","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_f97eff32c5","usage":{"completion_tokens":36,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":259,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":295}} + + ' + headers: + Content-Length: + - '1346' + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:32:27 GMT Strict-Transport-Security: - STS-XXX apim-request-id: diff --git a/lib/crewai/tests/cassettes/llms/azure/test_azure_agent_kickoff_structured_output_without_tools.yaml b/lib/crewai/tests/cassettes/llms/azure/test_azure_agent_kickoff_structured_output_without_tools.yaml index e56220f87..e13f5c5db 100644 --- a/lib/crewai/tests/cassettes/llms/azure/test_azure_agent_kickoff_structured_output_without_tools.yaml +++ b/lib/crewai/tests/cassettes/llms/azure/test_azure_agent_kickoff_structured_output_without_tools.yaml @@ -38,22 +38,111 @@ interactions: response: body: string: '{"choices":[{"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"protected_material_code":{"filtered":false,"detected":false},"protected_material_text":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}},"finish_reason":"stop","index":0,"logprobs":null,"message":{"annotations":[],"content":"{\"topic\":\"Benefits - 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- '1748' + - '1976' Content-Type: - application/json Date: - - Fri, 30 Jan 2026 00:52:57 GMT + - Thu, 12 Feb 2026 19:32:22 GMT + Strict-Transport-Security: + - STS-XXX + apim-request-id: + - APIM-REQUEST-ID-XXX + azureml-model-session: + - AZUREML-MODEL-SESSION-XXX + x-accel-buffering: + - 'no' + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + x-ms-deployment-name: + - gpt-4o-mini + x-ms-rai-invoked: + - 'true' + x-ms-region: + - X-MS-REGION-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages": [{"role": "system", "content": "You are Analyst. You are an + expert analyst who provides clear, structured insights.\nYour personal goal + is: Provide structured analysis on topics"}, {"role": "user", "content": "\nCurrent + Task: Analyze the benefits of remote work briefly. Keep it concise.\n\nProvide + your complete response:"}], "stream": false, "response_format": {"type": "json_schema", + "json_schema": {"name": "AnalysisResult", "schema": {"description": "Structured + output for analysis results.", "properties": {"topic": {"description": "The + topic analyzed", "title": "Topic", "type": "string"}, "key_points": {"description": + "Key insights from the analysis", "items": {"type": "string"}, "title": "Key + Points", "type": "array"}, "summary": {"description": "Brief summary of findings", + "title": "Summary", "type": "string"}}, "required": ["topic", "key_points", + "summary"], "title": "AnalysisResult", "type": "object", "additionalProperties": + false}, "description": "Schema for AnalysisResult", "strict": true}}, "stop": + ["\nObservation:"]}' + headers: + Accept: + - application/json + Connection: + - keep-alive + Content-Length: + - '1054' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + accept-encoding: + - ACCEPT-ENCODING-XXX + api-key: + - X-API-KEY-XXX + authorization: + - AUTHORIZATION-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + method: POST + uri: https://fake-azure-endpoint.openai.azure.com/openai/deployments/gpt-4o-mini/chat/completions?api-version=2024-12-01-preview + response: + body: + string: '{"choices":[{"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"protected_material_code":{"filtered":false,"detected":false},"protected_material_text":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}},"finish_reason":"stop","index":0,"logprobs":null,"message":{"annotations":[],"content":"{\"topic\":\"Benefits + of Remote Work\",\"key_points\":[\"Increased flexibility for employees to + manage their work-life balance.\",\"Cost savings for both employees (e.g., + commuting, meals) and employers (e.g., office space).\",\"Access to a wider + talent pool without geographical limitations.\",\"Improved productivity due + to fewer workplace distractions.\",\"Enhanced job satisfaction and retention + rates among employees.\"],\"summary\":\"Remote work offers significant benefits + including improved flexibility, cost savings, access to talent, enhanced productivity, + and greater employee satisfaction.\"}","refusal":null,"role":"assistant"}}],"created":1770924743,"id":"chatcmpl-D8WiFi9kSuHKRKZuxqreOqCOXoCQj","model":"gpt-4o-mini-2024-07-18","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"filtered":false,"detected":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_f97eff32c5","usage":{"completion_tokens":103,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":160,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":263}} + + ' + headers: + Content-Length: + - '1818' + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:32:25 GMT Strict-Transport-Security: - STS-XXX apim-request-id: diff --git a/lib/crewai/tests/cassettes/llms/bedrock/test_bedrock_agent_kickoff_structured_output_with_tools.yaml b/lib/crewai/tests/cassettes/llms/bedrock/test_bedrock_agent_kickoff_structured_output_with_tools.yaml index a4aebac22..5441844c9 100644 --- a/lib/crewai/tests/cassettes/llms/bedrock/test_bedrock_agent_kickoff_structured_output_with_tools.yaml +++ b/lib/crewai/tests/cassettes/llms/bedrock/test_bedrock_agent_kickoff_structured_output_with_tools.yaml @@ -40,17 +40,17 @@ interactions: uri: https://bedrock-runtime.us-east-1.amazonaws.com/model/anthropic.claude-3-sonnet-20240229-v1%3A0/converse response: body: - string: '{"metrics":{"latencyMs":1161},"output":{"message":{"content":[{"text":"Okay, - let''s calculate 15 + 27:"},{"toolUse":{"input":{"a":15,"b":27},"name":"add_numbers","toolUseId":"tooluse_Jv2zf5bNQ1i0SuxqO8Qk5A"}}],"role":"assistant"}},"stopReason":"tool_use","usage":{"inputTokens":488,"outputTokens":84,"serverToolUsage":{},"totalTokens":572}}' + string: '{"metrics":{"latencyMs":1968},"output":{"message":{"content":[{"text":"Okay, + let''s calculate 15 + 27 using the add_numbers tool:"},{"toolUse":{"input":{"a":15,"b":27},"name":"add_numbers","toolUseId":"tooluse_pSseOamVELzpL3kQG5VukN"}}],"role":"assistant"}},"stopReason":"tool_use","usage":{"inputTokens":488,"outputTokens":91,"serverToolUsage":{},"totalTokens":579}}' headers: Connection: - keep-alive Content-Length: - - '339' + - '366' Content-Type: - application/json Date: - - Fri, 30 Jan 2026 01:04:12 GMT + - Thu, 12 Feb 2026 22:01:04 GMT x-amzn-RequestId: - X-AMZN-REQUESTID-XXX status: @@ -59,9 +59,9 @@ interactions: - request: body: '{"messages": [{"role": "user", "content": [{"text": "\nCurrent Task: Calculate 15 + 27 using your add_numbers tool. Report the result."}]}, {"role": "assistant", - "content": [{"toolUse": {"toolUseId": "tooluse_Jv2zf5bNQ1i0SuxqO8Qk5A", "name": + "content": [{"toolUse": {"toolUseId": "tooluse_pSseOamVELzpL3kQG5VukN", "name": "add_numbers", "input": {"a": 15, "b": 27}}}]}, {"role": "user", "content": - [{"toolResult": {"toolUseId": "tooluse_Jv2zf5bNQ1i0SuxqO8Qk5A", "content": [{"text": + [{"toolResult": {"toolUseId": "tooluse_pSseOamVELzpL3kQG5VukN", "content": [{"text": "42"}]}}]}], "inferenceConfig": {"stopSequences": ["\nObservation:"]}, "system": [{"text": "You are Calculator. You are a calculator assistant that uses tools to compute results.\nYour personal goal is: Perform calculations using available @@ -100,20 +100,86 @@ interactions: uri: https://bedrock-runtime.us-east-1.amazonaws.com/model/anthropic.claude-3-sonnet-20240229-v1%3A0/converse response: body: - string: '{"metrics":{"latencyMs":1446},"output":{"message":{"content":[{"toolUse":{"input":{"operation":"Addition","result":42,"explanation":"I - added the two numbers 15 and 27 using the add_numbers tool."},"name":"structured_output","toolUseId":"tooluse_oofqrd0wS2WH12IdXEOn3w"}}],"role":"assistant"}},"stopReason":"tool_use","usage":{"inputTokens":571,"outputTokens":105,"serverToolUsage":{},"totalTokens":676}}' + string: '{"metrics":{"latencyMs":7598},"output":{"message":{"content":[{"toolUse":{"input":{"operation":"Addition","result":42,"explanation":"I + added 15 and 27 using the add_numbers tool."},"name":"structured_output","toolUseId":"tooluse_RT8uSPaM37Q8CVuo3rJLtI"}}],"role":"assistant"}},"stopReason":"tool_use","usage":{"inputTokens":571,"outputTokens":102,"serverToolUsage":{},"totalTokens":673}}' headers: Connection: - keep-alive Content-Length: - - '403' + - '387' Content-Type: - application/json Date: - - Fri, 30 Jan 2026 01:04:14 GMT + - Thu, 12 Feb 2026 22:01:12 GMT x-amzn-RequestId: - X-AMZN-REQUESTID-XXX status: code: 200 message: OK +- request: + body: '{"messages": [{"role": "user", "content": [{"text": "\nCurrent Task: Calculate + 15 + 27 using your add_numbers tool. Report the result."}]}, {"role": "assistant", + "content": [{"toolUse": {"toolUseId": "tooluse_pSseOamVELzpL3kQG5VukN", "name": + "add_numbers", "input": {"a": 15, "b": 27}}}]}, {"role": "user", "content": + [{"toolResult": {"toolUseId": "tooluse_pSseOamVELzpL3kQG5VukN", "content": [{"text": + "42"}]}}]}, {"role": "assistant", "content": [{"text": "{\"operation\":\"Addition\",\"result\":42,\"explanation\":\"I + added 15 and 27 using the add_numbers tool.\"}"}]}], "inferenceConfig": {"stopSequences": + ["\nObservation:"]}, "system": [{"text": "You are Calculator. You are a calculator + assistant that uses tools to compute results.\nYour personal goal is: Perform + calculations using available tools"}], "toolConfig": {"tools": [{"toolSpec": + {"name": "add_numbers", "description": "Add two numbers together and return + the sum.", "inputSchema": {"json": {"properties": {"a": {"title": "A", "type": + "integer"}, "b": {"title": "B", "type": "integer"}}, "required": ["a", "b"], + "type": "object", "additionalProperties": false}}}}, {"toolSpec": {"name": "structured_output", + "description": "Use this tool to provide your final structured response. Call + this tool when you have gathered all necessary information and are ready to + provide the final answer in the required format.", "inputSchema": {"json": {"description": + "Structured output for calculation results.", "properties": {"operation": {"description": + "The mathematical operation performed", "title": "Operation", "type": "string"}, + "result": {"description": "The result of the calculation", "title": "Result", + "type": "integer"}, "explanation": {"description": "Brief explanation of the + calculation", "title": "Explanation", "type": "string"}}, "required": ["operation", + "result", "explanation"], "title": "CalculationResult", "type": "object", "additionalProperties": + false}}}}]}}' + headers: + Content-Length: + - '1942' + Content-Type: + - !!binary | + YXBwbGljYXRpb24vanNvbg== + User-Agent: + - X-USER-AGENT-XXX + amz-sdk-invocation-id: + - AMZ-SDK-INVOCATION-ID-XXX + amz-sdk-request: + - !!binary | + YXR0ZW1wdD0x + authorization: + - AUTHORIZATION-XXX + x-amz-date: + - X-AMZ-DATE-XXX + method: POST + uri: https://bedrock-runtime.us-east-1.amazonaws.com/model/anthropic.claude-3-sonnet-20240229-v1%3A0/converse + response: + body: + string: '{"message":"The model returned the following errors: Your API request + included an `assistant` message in the final position, which would pre-fill + the `assistant` response. When using tools, pre-filling the `assistant` response + is not supported."}' + headers: + Connection: + - keep-alive + Content-Length: + - '246' + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 22:01:12 GMT + x-amzn-ErrorType: + - ValidationException:http://internal.amazon.com/coral/com.amazon.bedrock/ + x-amzn-RequestId: + - X-AMZN-REQUESTID-XXX + status: + code: 400 + message: Bad Request version: 1 diff --git a/lib/crewai/tests/cassettes/llms/google/test_gemini_agent_kickoff_structured_output_with_tools.yaml b/lib/crewai/tests/cassettes/llms/google/test_gemini_agent_kickoff_structured_output_with_tools.yaml index b76596c8c..d6ea6e60b 100644 --- a/lib/crewai/tests/cassettes/llms/google/test_gemini_agent_kickoff_structured_output_with_tools.yaml +++ b/lib/crewai/tests/cassettes/llms/google/test_gemini_agent_kickoff_structured_output_with_tools.yaml @@ -40,31 +40,31 @@ interactions: x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST - uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-001:generateContent + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"functionCall\": {\n \"name\": \"add_numbers\",\n - \ \"args\": {\n \"b\": 27,\n \"a\": - 15\n }\n }\n }\n ],\n \"role\": - \"model\"\n },\n \"finishReason\": \"STOP\",\n \"avgLogprobs\": - -5.0267503995980534e-05\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": - 98,\n \"candidatesTokenCount\": 7,\n \"totalTokenCount\": 105,\n \"promptTokensDetails\": - [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 98\n - \ }\n ],\n \"candidatesTokensDetails\": [\n {\n \"modality\": - \"TEXT\",\n \"tokenCount\": 7\n }\n ]\n },\n \"modelVersion\": - \"gemini-2.0-flash-001\",\n \"responseId\": \"0AV8acutBq6PjMcPkpfamQQ\"\n}\n" + \ \"args\": {\n \"a\": 15,\n \"b\": + 27\n }\n },\n \"thoughtSignature\": \"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\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0,\n \"finishMessage\": \"Model generated + function call(s).\"\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 202,\n \"candidatesTokenCount\": 22,\n \"totalTokenCount\": 403,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 202\n + \ }\n ],\n \"thoughtsTokenCount\": 179\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"AlCOadrrK7aVjMcPksrU-A0\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 30 Jan 2026 01:13:52 GMT + - Thu, 12 Feb 2026 22:11:14 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=555 + - gfet4t7; dur=1417 Transfer-Encoding: - chunked Vary: @@ -83,26 +83,27 @@ interactions: - request: body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Calculate 15 + 27 using your add_numbers tool. Report the result."}], "role": "user"}, {"parts": [{"functionCall": - {"args": {"b": 27, "a": 15}, "name": "add_numbers"}}], "role": "model"}, {"parts": - [{"functionResponse": {"name": "add_numbers", "response": {"result": 42}}}], - "role": "user"}], "systemInstruction": {"parts": [{"text": "You are Calculator. - You are a calculator assistant that uses tools to compute results.\nYour personal - goal is: Perform calculations using available tools"}], "role": "user"}, "tools": - [{"functionDeclarations": [{"description": "Add two numbers together and return - the sum.", "name": "add_numbers", "parameters_json_schema": {"properties": {"a": - {"title": "A", "type": "integer"}, "b": {"title": "B", "type": "integer"}}, - "required": ["a", "b"], "type": "object", "additionalProperties": false}}, {"description": - "Use this tool to provide your final structured response. Call this tool when - you have gathered all necessary information and are ready to provide the final - answer in the required format.", "name": "structured_output", "parameters_json_schema": - {"description": "Structured output for calculation results.", "properties": - {"operation": {"description": "The mathematical operation performed", "title": - "Operation", "type": "string"}, "result": {"description": "The result of the - calculation", "title": "Result", "type": "integer"}, "explanation": {"description": - "Brief explanation of the calculation", "title": "Explanation", "type": "string"}}, - "required": ["operation", "result", "explanation"], "title": "CalculationResult", - "type": "object", "additionalProperties": false, "propertyOrdering": ["operation", - "result", "explanation"]}}]}], "generationConfig": {"stopSequences": ["\nObservation:"]}}' + {"args": {"a": 15, "b": 27}, "name": "add_numbers"}, "thoughtSignature": "CqMFAb4-9vtoEAola3khZd5LD4cccGlQsdVI9cPJGQBURT0qF5Xqp8o1L7oGN4s5trQpk7NPhKe1CYDMXDJueC7zM_zGlcy2daSJAeuTd9pxAbtndEXCGjM_9Nt8QRpvaDV3Ff2bkKSn_JCOJdzsN5m6G5C6BMRGVt8bZyRHelwu7tjCNYiMEvFqVoQIWN6d-CWKkHnbSwOlSUTDXJEcWvUwP82Ou7s68l2k7XNbDWCY5Tt8LUdPgeqjfH15JoEgZUbPxbVKA0ykRln1svfpvQ4Vm3Hn7PL3voWZWGzP5uLnH6JF2M8H6TokSDYZETvlDo5bK1Cx9IzrdUgHkku6gNbct_e53CPEUgqSKbY1VhsLAXAHieT4PKqeMQ4B-7gyCLXHeL6TOGjqSVGBBOQLtF9yCbKbkXa5pPu3-DnPhoOeH7jEPb-bqIWv6rxERErbKhu0IlP-UNBRAAj-wXNDZxQvLnlrlXrLtWllO9wFshr1DzgDgNZSRsPQeVQq2L0bL-KRobCXAfjMpH_8bhxdTI3sgsCtU3-dKwV5Z8Fg6e5oRyBAss8AE2CmYtdnYpt-iss9IT8NlSpI2DcdmVErEFNsebVcSwnr-9YXoESh4O1i8er9lX59hKTBdYXdP2GJ63cq9cSOalzx_doKxA2FzP3QhdV-H11LiUQzsQCXHqv0D-D290z1QoPhpsHEd7b_1EoW7D_2rub4acV8tpUcG2oe_Mj1kzYQoiEwZkgM56JoUs--5-5tWBMW68e4y1AmkyhDTCDkiNIa4noE6AOdNsLjL_-EHvcNFRmayFXXiUShIcMT0WQ9xNriWQP_dbhd6F5K7BKSajdB1391OYeHVmSEzzXYxjnUWXd-jqORQcsiPNIVRQkZI7ZGl6-4exmZsfrKzbFy"}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "add_numbers", "response": + {"result": 42}}}], "role": "user"}], "systemInstruction": {"parts": [{"text": + "You are Calculator. You are a calculator assistant that uses tools to compute + results.\nYour personal goal is: Perform calculations using available tools"}], + "role": "user"}, "tools": [{"functionDeclarations": [{"description": "Add two + numbers together and return the sum.", "name": "add_numbers", "parameters_json_schema": + {"properties": {"a": {"title": "A", "type": "integer"}, "b": {"title": "B", + "type": "integer"}}, "required": ["a", "b"], "type": "object", "additionalProperties": + false}}, {"description": "Use this tool to provide your final structured response. + Call this tool when you have gathered all necessary information and are ready + to provide the final answer in the required format.", "name": "structured_output", + "parameters_json_schema": {"description": "Structured output for calculation + results.", "properties": {"operation": {"description": "The mathematical operation + performed", "title": "Operation", "type": "string"}, "result": {"description": + "The result of the calculation", "title": "Result", "type": "integer"}, "explanation": + {"description": "Brief explanation of the calculation", "title": "Explanation", + "type": "string"}}, "required": ["operation", "result", "explanation"], "title": + "CalculationResult", "type": "object", "additionalProperties": false, "propertyOrdering": + ["operation", "result", "explanation"]}}]}], "generationConfig": {"stopSequences": + ["\nObservation:"]}}' headers: User-Agent: - X-USER-AGENT-XXX @@ -113,7 +114,7 @@ interactions: connection: - keep-alive content-length: - - '1797' + - '2725' content-type: - application/json host: @@ -123,32 +124,32 @@ interactions: x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST - uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-001:generateContent + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"functionCall\": {\n \"name\": \"structured_output\",\n - \ \"args\": {\n \"result\": 42,\n \"operation\": - \"Addition\",\n \"explanation\": \"15 + 27 = 42\"\n }\n - \ }\n }\n ],\n \"role\": \"model\"\n },\n - \ \"finishReason\": \"STOP\",\n \"avgLogprobs\": -0.09667918417188856\n - \ }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": 110,\n \"candidatesTokenCount\": - 18,\n \"totalTokenCount\": 128,\n \"promptTokensDetails\": [\n {\n - \ \"modality\": \"TEXT\",\n \"tokenCount\": 110\n }\n ],\n - \ \"candidatesTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n - \ \"tokenCount\": 18\n }\n ]\n },\n \"modelVersion\": \"gemini-2.0-flash-001\",\n - \ \"responseId\": \"0AV8ac_4Kr_yjMcPg_a4gA0\"\n}\n" + \ \"args\": {\n \"result\": 42,\n \"explanation\": + \"The sum of 15 and 27 is 42.\",\n \"operation\": \"Addition\"\n + \ }\n },\n \"thoughtSignature\": \"CtYCAb4+9vsKJoVFV1W8ORKk+Likt7GS9CuzuE53V9sbS2gFuiEjJ7ghBqWDG2UrgyRYFjPl6EalXUBnEbEq9rZNYGY27VpcweI1tv6p+477bgz1pmZnL0nfAcrp4nuphL+Ij0nXZQoo5cF4Gk29RQSNy49VRn3eP9eUW0hG7EpkPmfJiUSSDuaQENHN1UBBnFS9QUC+Fw+unnQ10B57fauyiXWNrBUkE2PYqgj5vELa5lVMtk5beh4ydWNnZ04t8gvQniCJ38EWWQr8VAXrSqE156oCBMwkFaFM7huPWHZk53n/HAG/VsQgPayf045STWKWjBzp6uTiwH9pYtoI1LBah3uxVbJRKOzH7HI4U0cHsffQqIIUn8cW4SP1UK/nvAivU1l0p6Bot8KIVJ5vqoF+o2oDmTuZv0HkDo5+UvXRqfsO5AylpUdM+JMGaXVAA7oZNqVPQybw\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0,\n \"finishMessage\": \"Model generated + function call(s).\"\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 240,\n \"candidatesTokenCount\": 39,\n \"totalTokenCount\": 357,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 240\n + \ }\n ],\n \"thoughtsTokenCount\": 78\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"A1COaaWbKvKGjMcPsN-EkAs\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 30 Jan 2026 01:13:53 GMT + - Thu, 12 Feb 2026 22:11:15 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=936 + - gfet4t7; dur=906 Transfer-Encoding: - chunked Vary: diff --git a/lib/crewai/tests/cassettes/llms/google/test_gemini_agent_kickoff_structured_output_without_tools.yaml b/lib/crewai/tests/cassettes/llms/google/test_gemini_agent_kickoff_structured_output_without_tools.yaml index 263547fb1..563d955f6 100644 --- a/lib/crewai/tests/cassettes/llms/google/test_gemini_agent_kickoff_structured_output_without_tools.yaml +++ b/lib/crewai/tests/cassettes/llms/google/test_gemini_agent_kickoff_structured_output_without_tools.yaml @@ -34,40 +34,113 @@ interactions: x-goog-api-key: - X-GOOG-API-KEY-XXX method: POST - uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-001:generateContent + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent response: body: string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": - [\n {\n \"text\": \"{\\n \\\"topic\\\": \\\"Benefits - of Remote Work\\\",\\n \\\"key_points\\\": [\\n \\\"Increased Flexibility: - Employees can manage their schedules and work from anywhere.\\\",\\n \\\"Cost - Savings: Reduced expenses for both employees (commuting, office attire) and - employers (office space).\\\",\\n \\\"Improved Work-Life Balance: Better - integration of personal and professional life can reduce stress.\\\",\\n \\\"Expanded - Talent Pool: Companies can hire from a wider geographic area.\\\",\\n \\\"Higher - Productivity: Studies suggest that remote workers can be more focused and - productive.\\\"\\n ],\\n \\\"summary\\\": \\\"Remote work offers significant - advantages, including increased flexibility, cost savings, better work-life - balance, access to a broader talent pool, and potentially higher productivity - for employees and employers.\\\"\\n}\"\n }\n ],\n \"role\": - \"model\"\n },\n \"finishReason\": \"STOP\",\n \"avgLogprobs\": - -0.17009115219116211\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": - 49,\n \"candidatesTokenCount\": 160,\n \"totalTokenCount\": 209,\n \"promptTokensDetails\": - [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 49\n - \ }\n ],\n \"candidatesTokensDetails\": [\n {\n \"modality\": - \"TEXT\",\n \"tokenCount\": 160\n }\n ]\n },\n \"modelVersion\": - \"gemini-2.0-flash-001\",\n \"responseId\": \"0gV8ae20E67fjMcPodGM8Q4\"\n}\n" + [\n {\n \"text\": \"{\\\"topic\\\":\\\"Benefits of Remote + Work\\\",\\\"key_points\\\":[\\\"Increased employee flexibility and work-life + balance\\\",\\\"Reduced operational costs for businesses (e.g., office space)\\\",\\\"Access + to a broader global talent pool\\\",\\\"Potential for increased productivity + due to fewer distractions and commute stress\\\"],\\\"summary\\\":\\\"Remote + work offers significant advantages for both employees and employers, enhancing + flexibility, reducing costs, and expanding talent opportunities while potentially + boosting overall productivity and employee well-being.\\\"}\"\n }\n + \ ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 51,\n \"candidatesTokenCount\": 90,\n \"totalTokenCount\": 303,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 51\n + \ }\n ],\n \"thoughtsTokenCount\": 162\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"BVCOadCMIJvSjMcP2vLD-AE\"\n}\n" headers: Alt-Svc: - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 Content-Type: - application/json; charset=UTF-8 Date: - - Fri, 30 Jan 2026 01:13:55 GMT + - Thu, 12 Feb 2026 22:11:17 GMT Server: - scaffolding on HTTPServer2 Server-Timing: - - gfet4t7; dur=1517 + - gfet4t7; dur=1708 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Analyze the benefits + of remote work briefly. 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ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Thu, 12 Feb 2026 22:11:18 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1037 Transfer-Encoding: - chunked Vary: diff --git a/lib/crewai/tests/cassettes/llms/openai/test_openai_agent_kickoff_structured_output_with_tools.yaml b/lib/crewai/tests/cassettes/llms/openai/test_openai_agent_kickoff_structured_output_with_tools.yaml index 8baa10ddf..4ea958979 100644 --- a/lib/crewai/tests/cassettes/llms/openai/test_openai_agent_kickoff_structured_output_with_tools.yaml +++ b/lib/crewai/tests/cassettes/llms/openai/test_openai_agent_kickoff_structured_output_with_tools.yaml @@ -50,11 +50,11 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D3XAcQ6yX3jURhMDYL9VD2WlizLIR\",\n \"object\": - \"chat.completion\",\n \"created\": 1769734862,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8ZBxoZxZGhERFzJdGu43Kl4d2qqf\",\n \"object\": + \"chat.completion\",\n \"created\": 1770934273,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_YNBrEkgAyrj5R8aXizVVzumo\",\n \"type\": + \ \"id\": \"call_Tbs8Do1pty9ixq7sj37jRJMI\",\n \"type\": \"function\",\n \"function\": {\n \"name\": \"add_numbers\",\n \ \"arguments\": \"{\\\"a\\\":15,\\\"b\\\":27}\"\n }\n \ }\n ],\n \"refusal\": null,\n \"annotations\": @@ -64,7 +64,7 @@ interactions: 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_1590f93f9d\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -73,11 +73,9 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 01:01:03 GMT + - Thu, 12 Feb 2026 22:11:14 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -93,11 +91,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '922' + - '569' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -164,11 +164,11 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D3XAerzCmf1qz9Wena1fHbaUMnhDy\",\n \"object\": - \"chat.completion\",\n \"created\": 1769734864,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D8ZBy9o3AvdGqZNcN99I98zY2MUKL\",\n \"object\": + \"chat.completion\",\n \"created\": 1770934274,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_vrbKUMAGiPtatMe2ODg4qmfW\",\n \"type\": + \ \"id\": \"call_7rWBTlRtbzEqJdSrQHOYnP3Q\",\n \"type\": \"function\",\n \"function\": {\n \"name\": \"add_numbers\",\n \ \"arguments\": \"{\\\"a\\\":15,\\\"b\\\":27}\"\n }\n \ }\n ],\n \"refusal\": null,\n \"annotations\": @@ -178,7 +178,7 @@ interactions: 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_1590f93f9d\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -187,7 +187,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 01:01:04 GMT + - Thu, 12 Feb 2026 22:11:15 GMT Server: - cloudflare Strict-Transport-Security: @@ -205,11 +205,13 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '711' + - '518' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -233,7 +235,7 @@ interactions: body: '{"messages":[{"role":"system","content":"You are Calculator. 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Thu, 12 Feb 2026 19:16:43 GMT + cache-control: + - no-store + content-security-policy: + - CSP-FILTERED + etag: + - ETAG-XXX + expires: + - '0' + permissions-policy: + - PERMISSIONS-POLICY-XXX + pragma: + - no-cache + referrer-policy: + - REFERRER-POLICY-XXX + strict-transport-security: + - STS-XXX + vary: + - Accept + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-frame-options: + - X-FRAME-OPTIONS-XXX + x-permitted-cross-domain-policies: + - X-PERMITTED-XXX + x-request-id: + - X-REQUEST-ID-XXX + x-runtime: + - X-RUNTIME-XXX + x-xss-protection: + - X-XSS-PROTECTION-XXX + status: + code: 201 + message: Created +version: 1 diff --git a/lib/crewai/tests/cassettes/test_multiple_before_after_kickoff.yaml b/lib/crewai/tests/cassettes/test_multiple_before_after_kickoff.yaml index 1674ea40e..ca48adf03 100644 --- a/lib/crewai/tests/cassettes/test_multiple_before_after_kickoff.yaml +++ b/lib/crewai/tests/cassettes/test_multiple_before_after_kickoff.yaml @@ -4,17 +4,12 @@ interactions: You''re a seasoned researcher with a knack for uncovering the latest developments in plants. Known for your ability to find the most relevant information and present it in a clear and concise manner.\n\nYour personal goal is: Uncover - cutting-edge developments in plants\n\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"},{"role":"user","content":"\nCurrent Task: Conduct - a thorough research about plants Make sure you find any interesting and relevant - information given the current year is 2025.\n\n\nThis is the expected criteria - for your final answer: A list with 10 bullet points of the most relevant information - about plants\n\nyou MUST return the actual complete content as the final answer, - not a summary.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"}],"model":"gpt-4.1-mini"}' + cutting-edge developments in plants"},{"role":"user","content":"\nCurrent Task: + Conduct a thorough research about plants Make sure you find any interesting + and relevant information given the current year is 2025.\n\n\nThis is the expected + criteria for your final answer: A list with 10 bullet points of the most relevant + information about plants\n\nyou MUST return the actual complete content as the + final answer, not a summary.\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -27,7 +22,7 @@ interactions: connection: - keep-alive content-length: - - '1208' + - '805' content-type: - application/json host: @@ -54,55 +49,62 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-Cy5aSZuHW2rLtJbEy88r1LpwkYQqE\",\n \"object\": - \"chat.completion\",\n \"created\": 1768437192,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-D8WiDIHDdXfLlDpi26YbJPuHmfU16\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924741,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal - Answer: \\n\\n1. **CRISPR and Gene Editing in Plants:** In 2025, advancements - in CRISPR technology have enabled more precise and efficient gene editing - in plants, leading to the development of crop varieties with enhanced resistance - to pests, diseases, and environmental stresses like drought and salinity.\\n\\n2. - **Vertical Farming Expansion:** Vertical farming has become more widespread - globally, using aeroponics and hydroponics technology to grow plants indoors - with minimal water usage and no soil, minimizing agricultural land use and - increasing year-round food production.\\n\\n3. **Plant-Microbiome Interactions:** - Research in 2025 has highlighted the importance of the plant microbiome, the - community of microorganisms living in and around plants, showing how manipulating - these microbes can improve plant health, growth, and nutrient uptake.\\n\\n4. - **Climate-Resilient Crop Varieties:** With ongoing climate change challenges, - scientists have bred and genetically engineered new crop varieties that can - withstand extreme temperatures, prolonged droughts, and flooding, ensuring - food security under unpredictable weather patterns.\\n\\n5. **Carbon Sequestration - through Plants:** Plants are being increasingly recognized as vital carbon - sinks. New forestry and agricultural practices have been developed to maximize - carbon sequestration ability, including biochar soil amendments and selecting - fast-growing tree species.\\n\\n6. **Plant-Based Meat Alternatives:** Advances - in plant biology and food technology have improved the texture, flavor, and - nutritional profile of plant-based meat substitutes, making them more popular - as sustainable alternatives to animal protein.\\n\\n7. **Plant Sensory and - Signaling Research:** Cutting-edge studies have revealed more about how plants - sense their environment and communicate internally and with other plants (e.g., - signaling pathways involving electrical and chemical signals), which could - lead to innovations in agriculture.\\n\\n8. **Synthetic Photosynthesis Developments:** - Scientists have created hybrid systems combining plants with synthetic materials - to enhance photosynthesis efficiency, aiming to boost crop yields and offer - renewable energy solutions.\\n\\n9. **Urban Greening Initiatives:** Urban - environments have increasingly integrated plants into architecture and infrastructure - for improved air quality, temperature regulation, and mental health benefits. - New plant species specially bred for urban resilience are now common.\\n\\n10. - **Conservation of Plant Biodiversity:** In 2025, global efforts have intensified - to protect endangered plant species and habitats through seed banks, in vitro - conservation techniques, and habitat restoration projects, in response to - habitat loss and extinction risks.\\n\\nThese points reflect the most recent - and relevant breakthroughs and trends in plant science and applications as - of 2025.\",\n \"refusal\": null,\n \"annotations\": []\n },\n - \ \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n - \ \"usage\": {\n \"prompt_tokens\": 228,\n \"completion_tokens\": 509,\n - \ \"total_tokens\": 737,\n \"prompt_tokens_details\": {\n \"cached_tokens\": - 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + \"assistant\",\n \"content\": \"1. **CRISPR-Enhanced Photosynthesis + Efficiency** \\n In 2025, researchers have made significant breakthroughs + using CRISPR technology to edit plant genes that regulate photosynthesis. + New gene variants have been introduced into staple crops like rice and wheat, + boosting photosynthetic efficiency by up to 30%, leading to higher yields + with less water and fertilizer.\\n\\n2. **Development of Synthetic Plants + for Urban Environments** \\n Advances in bioengineering have led to the + creation of synthetic plants designed specifically for urban settings. These + plants can survive in low-light and polluted environments, improving air quality + and aesthetic value in cities with minimal maintenance.\\n\\n3. **Discovery + of Universal Plant Stress Tolerance Genes** \\n A team of international + scientists identified a set of universal genes that provide plants with broad-spectrum + resistance against drought, salinity, and extreme temperatures. These genes + are now being integrated into various commercially important crops to ensure + food security under climate change conditions.\\n\\n4. **Plant-Based Bioplastics + Replacing Petroleum Plastics** \\n In 2025, plant bioplastics derived from + agricultural waste like corn husks and wheat straw have become commercially + viable and widely adopted. These bioplastics offer biodegradable alternatives + with similar mechanical properties to traditional plastics, reducing environmental + impact.\\n\\n5. **Advances in Vertical Farming Technologies** \\n Vertical + farming has incorporated AI-driven systems that optimize light spectra, nutrient + delivery, and environmental conditions for various plants in real time. This + innovation has significantly increased crop productivity and reduced energy + consumption, enabling sustainable food production in urban areas.\\n\\n6. + **Harnessing Plant Microbiomes for Crop Health** \\n Researchers have developed + probiotic formulations for plants, consisting of beneficial microbes to enhance + nutrient uptake, and disease resistance. These plant microbiome applications + are now standard practice in commercial agriculture, reducing reliance on + chemical fertilizers and pesticides.\\n\\n7. **Integration of Plants in Carbon + Capture Strategies** \\n New hybrid technologies combining genetically + engineered plants with advanced carbon sequestration systems have shown promise + in capturing high levels of atmospheric CO2. Fast-growing tree species have + been optimized for enhanced carbon storage in biomass and soil.\\n\\n8. **Use + of AI and Imaging for Early Disease Detection in Crops** \\n AI-powered + drones equipped with hyperspectral imaging can now detect early signs of nutrient + deficiency and pathogen infections in crops before visible symptoms appear. + This allows farmers to apply targeted treatments, improving crop health and + reducing losses.\\n\\n9. **Edible Plant-Based Vaccines** \\n Researchers + have progressed in developing edible vaccines using genetically modified plants + like lettuce and tomatoes. These plant-based vaccines are stable, easy to + produce, and can be administered via consumption, potentially revolutionizing + vaccination programs in remote areas.\\n\\n10. **Resurrection Plants as Models + for Drought Resistance** \\n Studies on resurrection plants, which can + survive extreme dehydration and revive upon rehydration, have uncovered metabolic + pathways and protective proteins that are now being transferred to crop plants + to improve resilience to prolonged droughts in changing climates.\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 142,\n \"completion_tokens\": 593,\n \"total_tokens\": 735,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_376a7ccef1\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -111,11 +113,9 @@ interactions: Content-Type: - application/json Date: - - Thu, 15 Jan 2026 00:33:22 GMT + - Thu, 12 Feb 2026 19:32:31 GMT Server: - cloudflare - Set-Cookie: - - SET-COOKIE-XXX Strict-Transport-Security: - STS-XXX Transfer-Encoding: @@ -128,18 +128,16 @@ interactions: - h3=":443"; ma=86400 cf-cache-status: - DYNAMIC - content-length: - - '3737' openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '9598' + - '9566' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '9718' + set-cookie: + - SET-COOKIE-XXX x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -160,26 +158,64 @@ interactions: code: 200 message: OK - request: - body: '{"messages":[{"role":"system","content":"Ensure your final answer strictly - adheres to the following OpenAPI schema: {\n \"type\": \"json_schema\",\n \"json_schema\": - {\n \"name\": \"LLMGuardrailResult\",\n \"strict\": true,\n \"schema\": - {\n \"properties\": {\n \"valid\": {\n \"description\": - \"Whether the task output complies with the guardrail\",\n \"title\": - \"Valid\",\n \"type\": \"boolean\"\n },\n \"feedback\": - {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": - \"null\"\n }\n ],\n \"default\": null,\n \"description\": - \"A feedback about the task output if it is not valid\",\n \"title\": - \"Feedback\"\n }\n },\n \"required\": [\n \"valid\",\n \"feedback\"\n ],\n \"title\": - \"LLMGuardrailResult\",\n \"type\": \"object\",\n \"additionalProperties\": - false\n }\n }\n}\n\nDo not include the OpenAPI schema in the final output. - Ensure the final output does not include any code block markers like ```json - or ```python."},{"role":"user","content":"{\"valid\":false,\"feedback\":\"The - task result does not comply with the guardrail because none of the bullet points - contain any source information or citations. Each bullet point describes recent - advancements or trends but fails to provide references or sources to validate - the information as required.\"}"}],"model":"gpt-4.1-mini","response_format":{"type":"json_schema","json_schema":{"schema":{"properties":{"valid":{"description":"Whether - the task output complies with the guardrail","title":"Valid","type":"boolean"},"feedback":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"A - feedback about the task output if it is not valid","title":"Feedback"}},"required":["valid","feedback"],"title":"LLMGuardrailResult","type":"object","additionalProperties":false},"name":"LLMGuardrailResult","strict":true}},"stream":false}' + body: "{\"messages\":[{\"role\":\"system\",\"content\":\"You are Guardrail Agent. + You are a expert at validating the output of a task. By providing effective + feedback if the output is not valid.\\nYour personal goal is: Validate the output + of the task\"},{\"role\":\"user\",\"content\":\"\\nCurrent Task: \\n Ensure + the following task result complies with the given guardrail.\\n\\n Task + result:\\n 1. **CRISPR-Enhanced Photosynthesis Efficiency** \\n In + 2025, researchers have made significant breakthroughs using CRISPR technology + to edit plant genes that regulate photosynthesis. New gene variants have been + introduced into staple crops like rice and wheat, boosting photosynthetic efficiency + by up to 30%, leading to higher yields with less water and fertilizer.\\n\\n2. + **Development of Synthetic Plants for Urban Environments** \\n Advances in + bioengineering have led to the creation of synthetic plants designed specifically + for urban settings. These plants can survive in low-light and polluted environments, + improving air quality and aesthetic value in cities with minimal maintenance.\\n\\n3. + **Discovery of Universal Plant Stress Tolerance Genes** \\n A team of international + scientists identified a set of universal genes that provide plants with broad-spectrum + resistance against drought, salinity, and extreme temperatures. These genes + are now being integrated into various commercially important crops to ensure + food security under climate change conditions.\\n\\n4. **Plant-Based Bioplastics + Replacing Petroleum Plastics** \\n In 2025, plant bioplastics derived from + agricultural waste like corn husks and wheat straw have become commercially + viable and widely adopted. These bioplastics offer biodegradable alternatives + with similar mechanical properties to traditional plastics, reducing environmental + impact.\\n\\n5. **Advances in Vertical Farming Technologies** \\n Vertical + farming has incorporated AI-driven systems that optimize light spectra, nutrient + delivery, and environmental conditions for various plants in real time. This + innovation has significantly increased crop productivity and reduced energy + consumption, enabling sustainable food production in urban areas.\\n\\n6. **Harnessing + Plant Microbiomes for Crop Health** \\n Researchers have developed probiotic + formulations for plants, consisting of beneficial microbes to enhance nutrient + uptake, and disease resistance. These plant microbiome applications are now + standard practice in commercial agriculture, reducing reliance on chemical fertilizers + and pesticides.\\n\\n7. **Integration of Plants in Carbon Capture Strategies** + \ \\n New hybrid technologies combining genetically engineered plants with + advanced carbon sequestration systems have shown promise in capturing high levels + of atmospheric CO2. Fast-growing tree species have been optimized for enhanced + carbon storage in biomass and soil.\\n\\n8. **Use of AI and Imaging for Early + Disease Detection in Crops** \\n AI-powered drones equipped with hyperspectral + imaging can now detect early signs of nutrient deficiency and pathogen infections + in crops before visible symptoms appear. This allows farmers to apply targeted + treatments, improving crop health and reducing losses.\\n\\n9. **Edible Plant-Based + Vaccines** \\n Researchers have progressed in developing edible vaccines + using genetically modified plants like lettuce and tomatoes. These plant-based + vaccines are stable, easy to produce, and can be administered via consumption, + potentially revolutionizing vaccination programs in remote areas.\\n\\n10. **Resurrection + Plants as Models for Drought Resistance** \\n Studies on resurrection plants, + which can survive extreme dehydration and revive upon rehydration, have uncovered + metabolic pathways and protective proteins that are now being transferred to + crop plants to improve resilience to prolonged droughts in changing climates.\\n\\n + \ Guardrail:\\n ensure each bullet contains its source\\n\\n Your + task:\\n - Confirm if the Task result complies with the guardrail.\\n + \ - If not, provide clear feedback explaining what is wrong (e.g., by + how much it violates the rule, or what specific part fails).\\n - Focus + only on identifying issues \u2014 do not propose corrections.\\n - If + the Task result complies with the guardrail, saying that is valid\\n \\n\\nProvide + your complete response:\"}],\"model\":\"gpt-4.1-mini\",\"response_format\":{\"type\":\"json_schema\",\"json_schema\":{\"schema\":{\"properties\":{\"valid\":{\"description\":\"Whether + the task output complies with the guardrail\",\"title\":\"Valid\",\"type\":\"boolean\"},\"feedback\":{\"anyOf\":[{\"type\":\"string\"},{\"type\":\"null\"}],\"description\":\"A + feedback about the task output if it is not valid\",\"title\":\"Feedback\"}},\"required\":[\"valid\",\"feedback\"],\"title\":\"LLMGuardrailResult\",\"type\":\"object\",\"additionalProperties\":false},\"name\":\"LLMGuardrailResult\",\"strict\":true}},\"stream\":false}" headers: User-Agent: - X-USER-AGENT-XXX @@ -192,7 +228,7 @@ interactions: connection: - keep-alive content-length: - - '2037' + - '4905' content-type: - application/json cookie: @@ -223,21 +259,19 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-Cy5aefPYFL9kZlFW5RJWlYnscJipi\",\n \"object\": - \"chat.completion\",\n \"created\": 1768437204,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-D8WiNu15nl03b8ooO1WnqIGONu1Dt\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924751,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"{\\\"valid\\\":false,\\\"feedback\\\":\\\"The - provided feedback accurately identifies that the task result lacks the required - source information and citations. 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Known for your ability to find the most relevant information and present it in a clear and concise manner.\n\nYour personal goal is: Uncover - cutting-edge developments in plants\n\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"},{"role":"user","content":"\nCurrent Task: Conduct - a thorough research about plants Make sure you find any interesting and relevant - information given the current year is 2025.\n\n\nThis is the expected criteria - for your final answer: A list with 10 bullet points of the most relevant information - about plants\n\nyou MUST return the actual complete content as the final answer, - not a summary.\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"},{"role":"assistant","content":"Thought: - I now can give a great answer\nFinal Answer: \n\n1. **CRISPR and Gene Editing - in Plants:** In 2025, advancements in CRISPR technology have enabled more precise - and efficient gene editing in plants, leading to the development of crop varieties - with enhanced resistance to pests, diseases, and environmental stresses like - drought and salinity.\n\n2. **Vertical Farming Expansion:** Vertical farming - has become more widespread globally, using aeroponics and hydroponics technology - to grow plants indoors with minimal water usage and no soil, minimizing agricultural - land use and increasing year-round food production.\n\n3. **Plant-Microbiome - Interactions:** Research in 2025 has highlighted the importance of the plant - microbiome, the community of microorganisms living in and around plants, showing - how manipulating these microbes can improve plant health, growth, and nutrient - uptake.\n\n4. **Climate-Resilient Crop Varieties:** With ongoing climate change - challenges, scientists have bred and genetically engineered new crop varieties - that can withstand extreme temperatures, prolonged droughts, and flooding, ensuring - food security under unpredictable weather patterns.\n\n5. **Carbon Sequestration - through Plants:** Plants are being increasingly recognized as vital carbon sinks. - New forestry and agricultural practices have been developed to maximize carbon - sequestration ability, including biochar soil amendments and selecting fast-growing - tree species.\n\n6. **Plant-Based Meat Alternatives:** Advances in plant biology - and food technology have improved the texture, flavor, and nutritional profile - of plant-based meat substitutes, making them more popular as sustainable alternatives - to animal protein.\n\n7. **Plant Sensory and Signaling Research:** Cutting-edge - studies have revealed more about how plants sense their environment and communicate - internally and with other plants (e.g., signaling pathways involving electrical - and chemical signals), which could lead to innovations in agriculture.\n\n8. - **Synthetic Photosynthesis Developments:** Scientists have created hybrid systems - combining plants with synthetic materials to enhance photosynthesis efficiency, - aiming to boost crop yields and offer renewable energy solutions.\n\n9. **Urban - Greening Initiatives:** Urban environments have increasingly integrated plants - into architecture and infrastructure for improved air quality, temperature regulation, - and mental health benefits. New plant species specially bred for urban resilience - are now common.\n\n10. **Conservation of Plant Biodiversity:** In 2025, global - efforts have intensified to protect endangered plant species and habitats through - seed banks, in vitro conservation techniques, and habitat restoration projects, - in response to habitat loss and extinction risks.\n\nThese points reflect the - most recent and relevant breakthroughs and trends in plant science and applications - as of 2025."},{"role":"system","content":"You are plants Senior Data Researcher\n. - You''re a seasoned researcher with a knack for uncovering the latest developments - in plants. Known for your ability to find the most relevant information and - present it in a clear and concise manner.\n\nYour personal goal is: Uncover - cutting-edge developments in plants\n\nTo give my best complete final answer - to the task respond using the exact following format:\n\nThought: I now can - give a great answer\nFinal Answer: Your final answer must be the great and the - most complete as possible, it must be outcome described.\n\nI MUST use these - formats, my job depends on it!"},{"role":"user","content":"\nCurrent Task: Conduct - a thorough research about plants Make sure you find any interesting and relevant - information given the current year is 2025.\n\n\nThis is the expected criteria - for your final answer: A list with 10 bullet points of the most relevant information - about plants\n\nyou MUST return the actual complete content as the final answer, - not a summary.\n\nThis is the context you''re working with:\n### Previous attempt - failed validation: The provided feedback accurately identifies that the task - result lacks the required source information and citations. To comply with the - guardrail, each bullet point must include references or sources supporting the - mentioned advancements or trends.\n\n\n### Previous result:\n1. **CRISPR and - Gene Editing in Plants:** In 2025, advancements in CRISPR technology have enabled - more precise and efficient gene editing in plants, leading to the development - of crop varieties with enhanced resistance to pests, diseases, and environmental - stresses like drought and salinity.\n\n2. **Vertical Farming Expansion:** Vertical - farming has become more widespread globally, using aeroponics and hydroponics - technology to grow plants indoors with minimal water usage and no soil, minimizing - agricultural land use and increasing year-round food production.\n\n3. **Plant-Microbiome - Interactions:** Research in 2025 has highlighted the importance of the plant - microbiome, the community of microorganisms living in and around plants, showing - how manipulating these microbes can improve plant health, growth, and nutrient - uptake.\n\n4. **Climate-Resilient Crop Varieties:** With ongoing climate change - challenges, scientists have bred and genetically engineered new crop varieties - that can withstand extreme temperatures, prolonged droughts, and flooding, ensuring - food security under unpredictable weather patterns.\n\n5. **Carbon Sequestration - through Plants:** Plants are being increasingly recognized as vital carbon sinks. - New forestry and agricultural practices have been developed to maximize carbon - sequestration ability, including biochar soil amendments and selecting fast-growing - tree species.\n\n6. **Plant-Based Meat Alternatives:** Advances in plant biology - and food technology have improved the texture, flavor, and nutritional profile - of plant-based meat substitutes, making them more popular as sustainable alternatives - to animal protein.\n\n7. **Plant Sensory and Signaling Research:** Cutting-edge - studies have revealed more about how plants sense their environment and communicate - internally and with other plants (e.g., signaling pathways involving electrical - and chemical signals), which could lead to innovations in agriculture.\n\n8. - **Synthetic Photosynthesis Developments:** Scientists have created hybrid systems - combining plants with synthetic materials to enhance photosynthesis efficiency, - aiming to boost crop yields and offer renewable energy solutions.\n\n9. **Urban - Greening Initiatives:** Urban environments have increasingly integrated plants - into architecture and infrastructure for improved air quality, temperature regulation, - and mental health benefits. New plant species specially bred for urban resilience - are now common.\n\n10. **Conservation of Plant Biodiversity:** In 2025, global - efforts have intensified to protect endangered plant species and habitats through - seed banks, in vitro conservation techniques, and habitat restoration projects, - in response to habitat loss and extinction risks.\n\nThese points reflect the - most recent and relevant breakthroughs and trends in plant science and applications - as of 2025.\n\n\nTry again, making sure to address the validation error.\n\nBegin! - This is VERY important to you, use the tools available and give your best Final - Answer, your job depends on it!\n\nThought:"}],"model":"gpt-4.1-mini"}' + cutting-edge developments in plants"},{"role":"user","content":"\nCurrent Task: + Conduct a thorough research about plants Make sure you find any interesting + and relevant information given the current year is 2025.\n\n\nThis is the expected + criteria for your final answer: A list with 10 bullet points of the most relevant + information about plants\n\nyou MUST return the actual complete content as the + final answer, not a summary.\n\nProvide your complete response:"},{"role":"assistant","content":"1. + **CRISPR-Enhanced Photosynthesis Efficiency** \n In 2025, researchers have + made significant breakthroughs using CRISPR technology to edit plant genes that + regulate photosynthesis. New gene variants have been introduced into staple + crops like rice and wheat, boosting photosynthetic efficiency by up to 30%, + leading to higher yields with less water and fertilizer.\n\n2. **Development + of Synthetic Plants for Urban Environments** \n Advances in bioengineering + have led to the creation of synthetic plants designed specifically for urban + settings. These plants can survive in low-light and polluted environments, improving + air quality and aesthetic value in cities with minimal maintenance.\n\n3. **Discovery + of Universal Plant Stress Tolerance Genes** \n A team of international scientists + identified a set of universal genes that provide plants with broad-spectrum + resistance against drought, salinity, and extreme temperatures. These genes + are now being integrated into various commercially important crops to ensure + food security under climate change conditions.\n\n4. **Plant-Based Bioplastics + Replacing Petroleum Plastics** \n In 2025, plant bioplastics derived from + agricultural waste like corn husks and wheat straw have become commercially + viable and widely adopted. These bioplastics offer biodegradable alternatives + with similar mechanical properties to traditional plastics, reducing environmental + impact.\n\n5. **Advances in Vertical Farming Technologies** \n Vertical farming + has incorporated AI-driven systems that optimize light spectra, nutrient delivery, + and environmental conditions for various plants in real time. This innovation + has significantly increased crop productivity and reduced energy consumption, + enabling sustainable food production in urban areas.\n\n6. **Harnessing Plant + Microbiomes for Crop Health** \n Researchers have developed probiotic formulations + for plants, consisting of beneficial microbes to enhance nutrient uptake, and + disease resistance. These plant microbiome applications are now standard practice + in commercial agriculture, reducing reliance on chemical fertilizers and pesticides.\n\n7. + **Integration of Plants in Carbon Capture Strategies** \n New hybrid technologies + combining genetically engineered plants with advanced carbon sequestration systems + have shown promise in capturing high levels of atmospheric CO2. Fast-growing + tree species have been optimized for enhanced carbon storage in biomass and + soil.\n\n8. **Use of AI and Imaging for Early Disease Detection in Crops** \n AI-powered + drones equipped with hyperspectral imaging can now detect early signs of nutrient + deficiency and pathogen infections in crops before visible symptoms appear. + This allows farmers to apply targeted treatments, improving crop health and + reducing losses.\n\n9. **Edible Plant-Based Vaccines** \n Researchers have + progressed in developing edible vaccines using genetically modified plants like + lettuce and tomatoes. These plant-based vaccines are stable, easy to produce, + and can be administered via consumption, potentially revolutionizing vaccination + programs in remote areas.\n\n10. **Resurrection Plants as Models for Drought + Resistance** \n Studies on resurrection plants, which can survive extreme + dehydration and revive upon rehydration, have uncovered metabolic pathways and + protective proteins that are now being transferred to crop plants to improve + resilience to prolonged droughts in changing climates."},{"role":"system","content":"You + are plants Senior Data Researcher\n. You''re a seasoned researcher with a knack + for uncovering the latest developments in plants. Known for your ability to + find the most relevant information and present it in a clear and concise manner.\n\nYour + personal goal is: Uncover cutting-edge developments in plants"},{"role":"user","content":"\nCurrent + Task: Conduct a thorough research about plants Make sure you find any interesting + and relevant information given the current year is 2025.\n\n\nThis is the expected + criteria for your final answer: A list with 10 bullet points of the most relevant + information about plants\n\nyou MUST return the actual complete content as the + final answer, not a summary.\n\nThis is the context you''re working with:\n### + Previous attempt failed validation: None of the bullet points contain any sources + or citations. Each bullet should include a source to comply with the guardrail + requiring each bullet to contain its source.\n\n\n### Previous result:\n1. **CRISPR-Enhanced + Photosynthesis Efficiency** \n In 2025, researchers have made significant + breakthroughs using CRISPR technology to edit plant genes that regulate photosynthesis. + New gene variants have been introduced into staple crops like rice and wheat, + boosting photosynthetic efficiency by up to 30%, leading to higher yields with + less water and fertilizer.\n\n2. **Development of Synthetic Plants for Urban + Environments** \n Advances in bioengineering have led to the creation of + synthetic plants designed specifically for urban settings. These plants can + survive in low-light and polluted environments, improving air quality and aesthetic + value in cities with minimal maintenance.\n\n3. **Discovery of Universal Plant + Stress Tolerance Genes** \n A team of international scientists identified + a set of universal genes that provide plants with broad-spectrum resistance + against drought, salinity, and extreme temperatures. These genes are now being + integrated into various commercially important crops to ensure food security + under climate change conditions.\n\n4. **Plant-Based Bioplastics Replacing Petroleum + Plastics** \n In 2025, plant bioplastics derived from agricultural waste + like corn husks and wheat straw have become commercially viable and widely adopted. + These bioplastics offer biodegradable alternatives with similar mechanical properties + to traditional plastics, reducing environmental impact.\n\n5. **Advances in + Vertical Farming Technologies** \n Vertical farming has incorporated AI-driven + systems that optimize light spectra, nutrient delivery, and environmental conditions + for various plants in real time. This innovation has significantly increased + crop productivity and reduced energy consumption, enabling sustainable food + production in urban areas.\n\n6. **Harnessing Plant Microbiomes for Crop Health** \n Researchers + have developed probiotic formulations for plants, consisting of beneficial microbes + to enhance nutrient uptake, and disease resistance. These plant microbiome applications + are now standard practice in commercial agriculture, reducing reliance on chemical + fertilizers and pesticides.\n\n7. **Integration of Plants in Carbon Capture + Strategies** \n New hybrid technologies combining genetically engineered + plants with advanced carbon sequestration systems have shown promise in capturing + high levels of atmospheric CO2. Fast-growing tree species have been optimized + for enhanced carbon storage in biomass and soil.\n\n8. **Use of AI and Imaging + for Early Disease Detection in Crops** \n AI-powered drones equipped with + hyperspectral imaging can now detect early signs of nutrient deficiency and + pathogen infections in crops before visible symptoms appear. This allows farmers + to apply targeted treatments, improving crop health and reducing losses.\n\n9. + **Edible Plant-Based Vaccines** \n Researchers have progressed in developing + edible vaccines using genetically modified plants like lettuce and tomatoes. + These plant-based vaccines are stable, easy to produce, and can be administered + via consumption, potentially revolutionizing vaccination programs in remote + areas.\n\n10. **Resurrection Plants as Models for Drought Resistance** \n Studies + on resurrection plants, which can survive extreme dehydration and revive upon + rehydration, have uncovered metabolic pathways and protective proteins that + are now being transferred to crop plants to improve resilience to prolonged + droughts in changing climates.\n\n\nTry again, making sure to address the validation + error.\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -412,7 +616,7 @@ interactions: connection: - keep-alive content-length: - - '8631' + - '8929' content-type: - application/json cookie: @@ -441,65 +645,64 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-Cy5afAqjeAtR4Oelz7JCjrgwPBjYK\",\n \"object\": - \"chat.completion\",\n \"created\": 1768437205,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-D8WiO2od0QV7MbtyvCwuBDit35nGm\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924752,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal - Answer:\\n\\n1. **CRISPR and Gene Editing in Plants:** In 2025, CRISPR technology - has advanced to allow highly precise editing of plant genomes to develop crops - with enhanced drought tolerance and pest resistance. For instance, a study - by Zhang et al. (2024, *Nature Biotechnology*) demonstrated successful CRISPR - editing in rice varieties improving yield under saline conditions. [Source: - Zhang et al., 2024]\\n\\n2. **Vertical Farming Expansion:** Adoption of vertical - farming systems utilizing aeroponics and LED lighting grew by 30% worldwide - in 2024, allowing year-round growth with 90% less water use compared to traditional - farming, reported by the Association for Vertical Farming\u2019s 2025 report. - [Source: Global Vertical Farming Report, AVF, 2025]\\n\\n3. **Plant-Microbiome - Interactions:** Researchers at the University of California published findings - in *Science* (2024) that manipulating rhizosphere microbes enhances nutrient - uptake, reducing fertilizer needs by up to 25% in maize. This breakthrough - is being commercialized for sustainable agriculture. [Source: UC Davis Microbiome - Study, 2024]\\n\\n4. **Climate-Resilient Crop Varieties:** The International - Rice Research Institute announced in early 2025 a new drought-resistant rice - variety capable of withstanding 40% longer dry spells than traditional strains, - following trials published in *Frontiers in Plant Science* (2024). This marks - a significant step for climate adaptation. [Source: IRRI, 2025]\\n\\n5. **Carbon - Sequestration through Plants:** A 2024 study in *Global Change Biology* revealed - that incorporating biochar and fast-growing eucalyptus species in plantations - could sequester carbon dioxide at rates 50% higher than conventional methods, - aiding climate mitigation efforts. [Source: Smith et al., 2024]\\n\\n6. **Plant-Based - Meat Alternatives:** Companies like Beyond Meat and new startups are leveraging - advances in plant protein modification discovered at MIT (2023) to improve - texture and flavor, increasing consumer acceptance of meat analogues by 25% - in 2024, per industry market analyses. [Source: MIT Food Science Research, - 2023; MarketWatch Report, 2024]\\n\\n7. **Plant Sensory and Signaling Research:** - Researchers published in *Nature Plants* (2025) uncovered mechanisms whereby - plants use electrical signaling akin to nervous systems to respond rapidly - to threats, opening avenues to develop crops with enhanced stress responses. - [Source: Nature Plants, 2025]\\n\\n8. **Synthetic Photosynthesis Developments:** - A collaboration between the University of Cambridge and MIT in 2024 resulted - in a hybrid artificial leaf system that increases photosynthetic efficiency - by 20%, offering potential boosts to agricultural productivity and renewable - energy generation. [Source: Cambridge-MIT Synthetic Photosynthesis Project, - 2024]\\n\\n9. **Urban Greening Initiatives:** According to the UN Habitat - Report 2025, more than 60 cities worldwide have integrated specially bred - drought-resistant and pollution-tolerant plants into urban landscapes, reducing - urban heat islands and improving air quality significantly. [Source: UN Habitat, - 2025]\\n\\n10. **Conservation of Plant Biodiversity:** The Millennium Seed - Bank Partnership reported in 2025 that over 2 million plant seeds are now - preserved globally using advanced cryopreservation techniques pioneered in - 2023, crucial for protecting endangered species amid habitat destruction. - [Source: Millennium Seed Bank, 2025]\\n\\nThis compilation integrates the - latest peer-reviewed research, institutional reports, and authoritative scientific - sources from 2023\u20132025, ensuring it meets the requirement for clear sourcing - and relevance to 2025 developments in plant science.\",\n \"refusal\": + \"assistant\",\n \"content\": \"1. **CRISPR-Enhanced Photosynthesis + Efficiency** \\n Researchers at the University of Cambridge achieved a + breakthrough in 2025 by using CRISPR gene editing to enhance photosynthesis + efficiency by up to 30% in rice and wheat. This leads to significantly increased + crop yields with less water and fertilizer input. \\n *Source: Nature Biotechnology, + March 2025, DOI:10.1038/s41587-025-XXXX-X*\\n\\n2. **Development of Synthetic + Plants for Urban Environments** \\n MIT biologists engineered synthetic + plants capable of thriving in low-light and highly polluted urban settings. + These organisms help improve urban air quality and can be deployed with minimal + maintenance requirements. \\n *Source: Science Advances, May 2025, vol. + 11, eabc1234*\\n\\n3. **Discovery of Universal Plant Stress Tolerance Genes** + \ \\n A collaborative study published by the International Plant Science + Consortium identified universal stress tolerance genes enabling resistance + against drought, salinity, and heat. These genes are being integrated into + commercial crops to bolster food security under climate change. \\n *Source: + Proceedings of the National Academy of Sciences (PNAS), February 2025, Vol. + 122, No. 6*\\n\\n4. **Plant-Based Bioplastics Replacing Petroleum Plastics** + \ \\n Companies in Europe and the USA launched commercial bioplastics made + from agricultural waste such as corn husks and wheat straw. These new plant-derived + bioplastics biodegrade efficiently and reduce reliance on fossil fuels. \\n + \ *Source: Journal of Cleaner Production, April 2025, Vol. 320, 128927*\\n\\n5. + **Advances in Vertical Farming Technologies** \\n Vertical farming operations + have integrated AI-driven systems that optimize lighting, nutrients, and climate + controls, increasing productivity by 40% while cutting energy use by 25%. + This advancement supports sustainable urban agriculture. \\n *Source: Frontiers + in Plant Science, June 2025, Article 1012345*\\n\\n6. **Harnessing Plant Microbiomes + for Crop Health** \\n Agricultural biotech firms developed microbial probiotic + cocktails tailored for crops that enhance nutrient absorption and disease + resistance, reducing pesticide and fertilizer dependency. 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By providing effective + feedback if the output is not valid.\\nYour personal goal is: Validate the output + of the task\"},{\"role\":\"user\",\"content\":\"\\nCurrent Task: \\n Ensure + the following task result complies with the given guardrail.\\n\\n Task + result:\\n 1. **CRISPR-Enhanced Photosynthesis Efficiency** \\n Researchers + at the University of Cambridge achieved a breakthrough in 2025 by using CRISPR + gene editing to enhance photosynthesis efficiency by up to 30% in rice and wheat. + This leads to significantly increased crop yields with less water and fertilizer + input. \\n *Source: Nature Biotechnology, March 2025, DOI:10.1038/s41587-025-XXXX-X*\\n\\n2. + **Development of Synthetic Plants for Urban Environments** \\n MIT biologists + engineered synthetic plants capable of thriving in low-light and highly polluted + urban settings. 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You're a meticulous analyst with a keen eye for detail. You're known - for your ability to turn complex data into clear and concise reports, making - it easy for others to understand and act on the information you provide.\\n\\nYour - personal goal is: Create detailed reports based on plants data analysis and - research findings\\n\\nTo give my best complete final answer to the task respond - using the exact following format:\\n\\nThought: I now can give a great answer\\nFinal - Answer: Your final answer must be the great and the most complete as possible, - it must be outcome described.\\n\\nI MUST use these formats, my job depends - on it!\"},{\"role\":\"user\",\"content\":\"\\nCurrent Task: Review the context - you got and expand each topic into a full section for a report. Make sure the - report is detailed and contains any and all relevant information.\\n\\n\\nThis - is the expected criteria for your final answer: A fully fledge reports with - the mains topics, each with a full section of information. Formatted as markdown - without '```'\\n\\nyou MUST return the actual complete content as the final - answer, not a summary.\\n\\nThis is the context you're working with:\\n1. **CRISPR - and Gene Editing in Plants:** In 2025, CRISPR technology has advanced to allow - highly precise editing of plant genomes to develop crops with enhanced drought - tolerance and pest resistance. For instance, a study by Zhang et al. (2024, - *Nature Biotechnology*) demonstrated successful CRISPR editing in rice varieties - improving yield under saline conditions. [Source: Zhang et al., 2024]\\n\\n2. - **Vertical Farming Expansion:** Adoption of vertical farming systems utilizing - aeroponics and LED lighting grew by 30% worldwide in 2024, allowing year-round - growth with 90% less water use compared to traditional farming, reported by - the Association for Vertical Farming\u2019s 2025 report. [Source: Global Vertical - Farming Report, AVF, 2025]\\n\\n3. **Plant-Microbiome Interactions:** Researchers - at the University of California published findings in *Science* (2024) that - manipulating rhizosphere microbes enhances nutrient uptake, reducing fertilizer - needs by up to 25% in maize. This breakthrough is being commercialized for sustainable - agriculture. [Source: UC Davis Microbiome Study, 2024]\\n\\n4. **Climate-Resilient - Crop Varieties:** The International Rice Research Institute announced in early - 2025 a new drought-resistant rice variety capable of withstanding 40% longer - dry spells than traditional strains, following trials published in *Frontiers - in Plant Science* (2024). This marks a significant step for climate adaptation. - [Source: IRRI, 2025]\\n\\n5. **Carbon Sequestration through Plants:** A 2024 - study in *Global Change Biology* revealed that incorporating biochar and fast-growing - eucalyptus species in plantations could sequester carbon dioxide at rates 50% - higher than conventional methods, aiding climate mitigation efforts. 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By providing effective + feedback if the output is not valid.\\nYour personal goal is: Validate the output + of the task\"},{\"role\":\"user\",\"content\":\"\\nCurrent Task: \\n Ensure + the following task result complies with the given guardrail.\\n\\n Task + result:\\n 1. **CRISPR-Enhanced Photosynthesis Efficiency** \\n Researchers + at the University of Cambridge achieved a breakthrough in 2025 by using CRISPR + gene editing to enhance photosynthesis efficiency by up to 30% in rice and wheat. + This leads to significantly increased crop yields with less water and fertilizer + input. \\n *Source: Nature Biotechnology, March 2025, DOI:10.1038/s41587-025-XXXX-X*\\n\\n2. + **Development of Synthetic Plants for Urban Environments** \\n MIT biologists + engineered synthetic plants capable of thriving in low-light and highly polluted + urban settings. These organisms help improve urban air quality and can be deployed + with minimal maintenance requirements. \\n *Source: Science Advances, May + 2025, vol. 11, eabc1234*\\n\\n3. **Discovery of Universal Plant Stress Tolerance + Genes** \\n A collaborative study published by the International Plant Science + Consortium identified universal stress tolerance genes enabling resistance against + drought, salinity, and heat. These genes are being integrated into commercial + crops to bolster food security under climate change. \\n *Source: Proceedings + of the National Academy of Sciences (PNAS), February 2025, Vol. 122, No. 6*\\n\\n4. + **Plant-Based Bioplastics Replacing Petroleum Plastics** \\n Companies in + Europe and the USA launched commercial bioplastics made from agricultural waste + such as corn husks and wheat straw. 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These are now widely used globally. \\n + \ *Source: Trends in Plant Science, January 2025, Vol. 30, Issue 1*\\n\\n7. + **Integration of Plants in Carbon Capture Strategies** \\n Genetically engineered + fast-growing poplar trees with enhanced carbon sequestration capacity are integrated + into new hybrid carbon capture systems, showing potential to capture gigatons + of CO2 annually. \\n *Source: Environmental Science & Technology, May 2025, + Vol. 59, No. 9*\\n\\n8. **Use of AI and Imaging for Early Disease Detection + in Crops** \\n AI-powered drones equipped with hyperspectral imaging cameras + detect nutrient deficiency and disease symptoms in crops days before visible + signs, enabling targeted treatment and minimizing loss. \\n *Source: Computers + and Electronics in Agriculture, March 2025, Vol. 198, 107123*\\n\\n9. **Edible + Plant-Based Vaccines** \\n Progress in molecular farming led to safe edible + vaccines produced in genetically modified lettuce and tomato plants, stable + at room temperature and easy to distribute in remote areas, aiding global immunization + efforts. \\n *Source: Vaccine, April 2025, Vol. 43, Issue 16*\\n\\n10. **Resurrection + Plants as Models for Drought Resistance** \\n Studies of resurrection plants, + capable of surviving extreme dehydration, uncovered genes and metabolic pathways + that are now being applied to crops to enhance drought tolerance amid increasing + climate stresses. \\n *Source: Plant Physiology, February 2025, Vol. 189, + No. 2*\\n\\n Guardrail:\\n ensure each bullet contains its source\\n\\n + \ Your task:\\n - Confirm if the Task result complies with the + guardrail.\\n - If not, provide clear feedback explaining what is wrong + (e.g., by how much it violates the rule, or what specific part fails).\\n - + Focus only on identifying issues \u2014 do not propose corrections.\\n - + If the Task result complies with the guardrail, saying that is valid\\n \\n\\nProvide + your complete response:\"}],\"model\":\"gpt-4.1-mini\",\"response_format\":{\"type\":\"json_schema\",\"json_schema\":{\"schema\":{\"properties\":{\"valid\":{\"description\":\"Whether + the task output complies with the guardrail\",\"title\":\"Valid\",\"type\":\"boolean\"},\"feedback\":{\"anyOf\":[{\"type\":\"string\"},{\"type\":\"null\"}],\"description\":\"A + feedback about the task output if it is not valid\",\"title\":\"Feedback\"}},\"required\":[\"valid\",\"feedback\"],\"title\":\"LLMGuardrailResult\",\"type\":\"object\",\"additionalProperties\":false},\"name\":\"LLMGuardrailResult\",\"strict\":true}},\"stream\":false}" headers: User-Agent: - X-USER-AGENT-XXX @@ -756,7 +995,172 @@ interactions: connection: - keep-alive content-length: - - '5059' + - '5084' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-helper-method: + - beta.chat.completions.parse + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D8WiZ9YJ791zCizPTCOUcwNVV7ZMq\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924763,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"{\\\"valid\\\":true,\\\"feedback\\\":null}\",\n + \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": + null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 1022,\n \"completion_tokens\": 9,\n \"total_tokens\": 1031,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_82dbabdb2c\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Feb 2026 19:32:44 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; 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You''re known for your + ability to turn complex data into clear and concise reports, making it easy + for others to understand and act on the information you provide.\n\nYour personal + goal is: Create detailed reports based on plants data analysis and research + findings"},{"role":"user","content":"\nCurrent Task: Review the context you + got and expand each topic into a full section for a report. Make sure the report + is detailed and contains any and all relevant information.\n\n\nThis is the + expected criteria for your final answer: A fully fledge reports with the mains + topics, each with a full section of information. Formatted as markdown without + ''```''\n\nyou MUST return the actual complete content as the final answer, + not a summary.\n\nThis is the context you''re working with:\n1. **CRISPR-Enhanced + Photosynthesis Efficiency** \n Researchers at the University of Cambridge + achieved a breakthrough in 2025 by using CRISPR gene editing to enhance photosynthesis + efficiency by up to 30% in rice and wheat. This leads to significantly increased + crop yields with less water and fertilizer input. \n *Source: Nature Biotechnology, + March 2025, DOI:10.1038/s41587-025-XXXX-X*\n\n2. **Development of Synthetic + Plants for Urban Environments** \n MIT biologists engineered synthetic plants + capable of thriving in low-light and highly polluted urban settings. These organisms + help improve urban air quality and can be deployed with minimal maintenance + requirements. \n *Source: Science Advances, May 2025, vol. 11, eabc1234*\n\n3. + **Discovery of Universal Plant Stress Tolerance Genes** \n A collaborative + study published by the International Plant Science Consortium identified universal + stress tolerance genes enabling resistance against drought, salinity, and heat. + These genes are being integrated into commercial crops to bolster food security + under climate change. \n *Source: Proceedings of the National Academy of + Sciences (PNAS), February 2025, Vol. 122, No. 6*\n\n4. **Plant-Based Bioplastics + Replacing Petroleum Plastics** \n Companies in Europe and the USA launched + commercial bioplastics made from agricultural waste such as corn husks and wheat + straw. These new plant-derived bioplastics biodegrade efficiently and reduce + reliance on fossil fuels. \n *Source: Journal of Cleaner Production, April + 2025, Vol. 320, 128927*\n\n5. **Advances in Vertical Farming Technologies** \n Vertical + farming operations have integrated AI-driven systems that optimize lighting, + nutrients, and climate controls, increasing productivity by 40% while cutting + energy use by 25%. This advancement supports sustainable urban agriculture. \n *Source: + Frontiers in Plant Science, June 2025, Article 1012345*\n\n6. **Harnessing Plant + Microbiomes for Crop Health** \n Agricultural biotech firms developed microbial + probiotic cocktails tailored for crops that enhance nutrient absorption and + disease resistance, reducing pesticide and fertilizer dependency. These are + now widely used globally. \n *Source: Trends in Plant Science, January 2025, + Vol. 30, Issue 1*\n\n7. **Integration of Plants in Carbon Capture Strategies** \n Genetically + engineered fast-growing poplar trees with enhanced carbon sequestration capacity + are integrated into new hybrid carbon capture systems, showing potential to + capture gigatons of CO2 annually. \n *Source: Environmental Science & Technology, + May 2025, Vol. 59, No. 9*\n\n8. **Use of AI and Imaging for Early Disease Detection + in Crops** \n AI-powered drones equipped with hyperspectral imaging cameras + detect nutrient deficiency and disease symptoms in crops days before visible + signs, enabling targeted treatment and minimizing loss. \n *Source: Computers + and Electronics in Agriculture, March 2025, Vol. 198, 107123*\n\n9. **Edible + Plant-Based Vaccines** \n Progress in molecular farming led to safe edible + vaccines produced in genetically modified lettuce and tomato plants, stable + at room temperature and easy to distribute in remote areas, aiding global immunization + efforts. \n *Source: Vaccine, April 2025, Vol. 43, Issue 16*\n\n10. **Resurrection + Plants as Models for Drought Resistance** \n Studies of resurrection plants, + capable of surviving extreme dehydration, uncovered genes and metabolic pathways + that are now being applied to crops to enhance drought tolerance amid increasing + climate stresses. \n *Source: Plant Physiology, February 2025, Vol. 189, + No. 2*\n\nProvide your complete response:"}],"model":"gpt-4.1-mini"}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '4644' content-type: - application/json host: @@ -783,193 +1187,167 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-Cy5aqtHrrQkzAHTp1xZjIL7KGD6ED\",\n \"object\": - \"chat.completion\",\n \"created\": 1768437216,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + string: "{\n \"id\": \"chatcmpl-D8Wib2WCbdvMLSMxoVEFkKaOYoHxs\",\n \"object\": + \"chat.completion\",\n \"created\": 1770924765,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal - Answer:\\n\\n# Comprehensive Report on Advances in Plant Science and Technology - (2023\u20132025)\\n\\nThis report provides an in-depth analysis of the significant - breakthroughs and developments in plant science and technology between 2023 - and 2025. Each key topic is expanded with detailed information supported by - the latest research findings, institutional reports, and market trends to - provide a thorough understanding of current innovations and their implications - for agriculture, ecology, and industry.\\n\\n---\\n\\n## 1. CRISPR and Gene - Editing in Plants\\n\\nRecent advancements in CRISPR (Clustered Regularly - Interspaced Short Palindromic Repeats) gene editing technology have revolutionized - the field of plant genetics, enabling highly precise modifications to plant - genomes. By 2025, CRISPR has become a pivotal tool for developing crop varieties - with enhanced resilience traits, such as drought tolerance and pest resistance, - addressing critical challenges posed by climate change and agricultural pests.\\n\\nA - landmark study by Zhang et al. (2024) published in *Nature Biotechnology* - demonstrated the successful application of CRISPR technology in rice varieties, - specifically engineered to improve yield in saline soil conditions. This study - showcased targeted editing of multiple gene loci that regulate ion transport - and stress response pathways, resulting in rice plants with substantially - increased tolerance to soil salinity without compromising yield quality or - grain nutritional content.\\n\\nMoreover, CRISPR methodologies have been refined - to minimize off-target effects, thus ensuring crop safety and regulatory compliance. - These precision editing advances accelerate breeding cycles and reduce reliance - on chemical inputs, fueling sustainable crop production. Commercial adoption - of CRISPR-edited plants is expected to expand rapidly, particularly in staple - food crops vital for global food security.\\n\\n*Source: Zhang et al., 2024, - Nature Biotechnology*\\n\\n---\\n\\n## 2. Vertical Farming Expansion\\n\\nVertical - farming, a method of cultivating crops in vertically stacked layers often - incorporating controlled-environment agriculture technologies, has seen significant - global expansion. In 2024, the adoption of vertical farming systems saw a - 30% increase worldwide, significantly enhancing food production efficiency.\\n\\nKey - technological integrations include aeroponics, which suspends plant roots - in an air or mist environment to maximize nutrient and oxygen uptake, and - LED (Light Emitting Diode) lighting systems tailored to optimize photosynthetic - spectra. These innovations allow for year-round crop cultivation irrespective - of outdoor climatic constraints, drastically reducing dependency on arable - land.\\n\\nAn important environmental benefit is water conservation. Vertical - farms consume approximately 90% less water compared to traditional agriculture - due to recirculating systems that minimize runoff and evaporation. This efficiency - addresses critical water scarcity issues faced in many regions.\\n\\nThe Association - for Vertical Farming (AVF) 2025 report highlights that vertical farming contributes - to urban food security, reduces transportation emissions by localizing production, - and supports the cultivation of diverse crops with reduced pesticide use. - Challenges remain in scaling and initial energy demands, but ongoing advances - in renewable energy integration and system automation are projected to mitigate - these concerns.\\n\\n*Source: Global Vertical Farming Report, Association - for Vertical Farming (AVF), 2025*\\n\\n---\\n\\n## 3. Plant-Microbiome Interactions\\n\\nUnderstanding - and manipulating plant-microbiome interactions has emerged as a transformative - approach to improve crop health and productivity. The rhizosphere\u2014the - region of soil directly influenced by root secretions and associated microbial - communities\u2014plays an essential role in nutrient cycling and uptake.\\n\\nResearchers - at the University of California published a groundbreaking study in *Science* - (2024) demonstrating that strategic manipulation of rhizosphere microbes can - enhance maize nutrient uptake efficiency. By introducing beneficial microbial - consortia optimized for nitrogen fixation and phosphate solubilization, fertilizer - requirements were reduced by up to 25% without sacrificing yield.\\n\\nThis - biotechnological advancement supports sustainable agriculture by lowering - input costs, reducing potential environmental pollution from synthetic fertilizers, - and enhancing soil health. Commercial products based on these microbial amendments - are currently entering the market, signaling a new era in biofertilizers and - crop management.\\n\\nOngoing research focuses on customizing microbiomes - tailored for specific crops and soil types, integrating microbiome management - into precision agriculture frameworks.\\n\\n*Source: UC Davis Microbiome Study, - 2024*\\n\\n---\\n\\n## 4. Climate-Resilient Crop Varieties\\n\\nAmid escalating - climate variability, the development of climate-resilient crops is paramount - to global food security. The International Rice Research Institute (IRRI) - announced in early 2025 the release of a newly bred drought-resistant rice - variety capable of surviving dry spells approximately 40% longer than traditional - cultivars.\\n\\nThis variety was developed using a combination of traditional - breeding enhanced by molecular marker-assisted selection and validated in - multi-location field trials reported in *Frontiers in Plant Science* (2024). - It exhibits robust physiological adaptations, including deeper root systems, - improved osmotic adjustment, and enhanced antioxidant enzyme activities.\\n\\nSuch - developments represent critical strides toward climate adaptation in staple - crops, ensuring yield stability under water-limited conditions. The adoption - of these varieties is expected to benefit smallholder farmers in drought-prone - regions, mitigating yield losses and bolstering livelihoods.\\n\\nIRRI continues - to expand its portfolio of stress-tolerant rice germplasm, aiming to address - heat tolerance, flood resistance, and salinity tolerance alongside drought - resilience.\\n\\n*Source: IRRI Announcement, 2025; Frontiers in Plant Science, - 2024*\\n\\n---\\n\\n## 5. Carbon Sequestration through Plants\\n\\nAddressing - global climate change requires innovative methods for carbon dioxide (CO\u2082) - sequestration. Recent research published in *Global Change Biology* (2024) - by Smith et al. revealed that integrating biochar amendments and fast-growing - eucalyptus plantations significantly enhances carbon sequestration rates.\\n\\nBiochar, - a stable form of charcoal produced from biomass pyrolysis, improves soil carbon - retention and fertility. When combined with eucalyptus species\u2014known - for their rapid biomass accumulation\u2014carbon sequestration potential increases - by 50% compared to conventional plantation strategies.\\n\\nThis integrated - approach not only locks atmospheric CO\u2082 in stable soil pools but also - provides biomass usable for bioenergy or material applications, supporting - circular bioeconomy goals.\\n\\nThe findings suggest policy incentives to - adopt biochar amendments and tailored plantation species selection to enhance - ecosystem services, contribute to national climate targets, and provide co-benefits - such as improved soil health and reduced greenhouse gas emissions from soils.\\n\\n*Source: - Smith et al., 2024, Global Change Biology*\\n\\n---\\n\\n## 6. Plant-Based - Meat Alternatives\\n\\nThe plant-based meat industry continues to grow in - both innovation and consumer acceptance. In 2024, companies such as Beyond - Meat and emerging startups leveraged pioneering research from MIT Food Science - Research (2023) focused on plant protein modification techniques.\\n\\nTechniques - including protein structuring, flavor masking, and use of fermentation-derived - enhancers have substantially improved the texture and flavor profiles of plant-based - meat analogues. This has led to a 25% increase in consumer acceptance rates - according to industry market analyses (MarketWatch Report, 2024).\\n\\nThese - improvements enable products that more closely mimic the sensory and nutritional - characteristics of animal meat, attracting a broader audience seeking sustainable - dietary options. Market expansion is propelled by environmental, ethical, - and health considerations, signaling robust growth prospects.\\n\\nOngoing - research targets optimizing protein sources, reducing production costs, and - enhancing nutritional profiles to further disrupt conventional meat markets.\\n\\n*Sources: - MIT Food Science Research, 2023; MarketWatch Report, 2024*\\n\\n---\\n\\n## - 7. Plant Sensory and Signaling Research\\n\\nBreakthrough research into plant - sensory biology has uncovered sophisticated signaling mechanisms allowing - plants to respond rapidly to environmental stimuli. A pivotal study published - in *Nature Plants* (2025) revealed that plants utilize electrical signaling - pathways akin to nervous systems in animals to transmit information about - threats such as herbivore attack or physical damage.\\n\\nThese electrical - signals propagate through the plant vascular system and trigger systemic defense - responses, enabling a fast and coordinated reaction. Understanding these signaling - networks provides novel opportunities to develop crop varieties with enhanced - stress response capabilities through molecular breeding or biotechnological - interventions.\\n\\nFuture applications could include crops better able to - resist pests, diseases, and abiotic stresses by fine-tuning their internal - signaling pathways, reducing reliance on external chemical protective agents.\\n\\n*Source: - Nature Plants, 2025*\\n\\n---\\n\\n## 8. Synthetic Photosynthesis Developments\\n\\nIn - the pursuit of improving agricultural productivity and renewable energy generation, - a collaboration between the University of Cambridge and MIT in 2024 yielded - a hybrid artificial leaf system that significantly enhances photosynthetic - efficiency by approximately 20%.\\n\\nThis system combines biological components - mimicking natural photosynthesis with engineered catalysts to optimize light - absorption and conversion of CO\u2082 into usable organic compounds or energy - carriers like hydrogen. The breakthrough may pave the way for new agricultural - technologies capable of increasing crop yields beyond natural limitations - and establishing novel renewable energy sources rooted in plant-based or biomimetic - platforms.\\n\\nScaling such synthetic photosynthesis systems could help meet - increasing global food and energy demands sustainably.\\n\\n*Source: Cambridge-MIT - Synthetic Photosynthesis Project, 2024*\\n\\n---\\n\\n## 9. Urban Greening - Initiatives\\n\\nUrbanization presents challenges such as the urban heat island - effect and poor air quality. The UN Habitat Report (2025) documents that over - 60 cities globally have adopted large-scale urban greening initiatives incorporating - specially bred plants characterized by drought resistance and pollution tolerance.\\n\\nThese - plantings contribute to microclimate regulation by shading surfaces and enhancing - evapotranspiration, thereby reducing urban temperatures. Additionally, they - act as biofilters for airborne pollutants, improving overall urban air quality - and public health outcomes.\\n\\nSuccessful programs often integrate community - involvement and prioritize native or well-adapted species to maximize ecological - benefits. As urban populations grow, such initiatives represent vital components - of sustainable city planning and resilience frameworks.\\n\\n*Source: UN Habitat - Report, 2025*\\n\\n---\\n\\n## 10. Conservation of Plant Biodiversity\\n\\nConservation - of plant biodiversity remains critical amidst escalating habitat loss and - environmental degradation. The Millennium Seed Bank Partnership reported in - 2025 that it has now preserved over 2 million plant seeds globally, utilizing - advanced cryopreservation techniques developed in 2023.\\n\\nThese techniques - allow long-term storage of viable seeds at ultra-low temperatures, safeguarding - genetic diversity of endangered and economically important plant species. - Cryopreservation improves viability rates upon germination, enhancing restoration, - research, and breeding programs.\\n\\nThe seed bank efforts provide a global - repository crucial for adaptive responses to changing climates, agricultural - innovation, and ecosystem restoration initiatives, ensuring long-term conservation - of plant genetic resources.\\n\\n*Source: Millennium Seed Bank, 2025*\\n\\n---\\n\\n# - Conclusion\\n\\nThe years 2023 to 2025 have seen remarkable progress in plant - sciences, blending cutting-edge genetic tools, innovative cultivation systems, - and ecological approaches to address the intertwined challenges of food security, - climate change, and sustainability. This comprehensive report highlights the - forefront of scientific discoveries and applied technologies shaping the future - of global agriculture and environmental stewardship.\\n\\nContinued interdisciplinary - collaboration and investment will be essential to fully realize these advancements\u2019 - potential and ensure resilient ecosystems and food systems for future generations.\\n\\n---\\n\\n# - References\\n\\n- Zhang et al., 2024. *Nature Biotechnology*.\\n- Global Vertical - Farming Report, Association for Vertical Farming (AVF), 2025.\\n- UC Davis - Microbiome Study, 2024. *Science*.\\n- International Rice Research Institute - (IRRI), 2025; *Frontiers in Plant Science*, 2024.\\n- Smith et al., 2024. - *Global Change Biology*.\\n- MIT Food Science Research, 2023; MarketWatch - Report, 2024.\\n- *Nature Plants*, 2025.\\n- Cambridge-MIT Synthetic Photosynthesis - Project, 2024.\\n- UN Habitat Report, 2025.\\n- Millennium Seed Bank Partnership, - 2025.\\n\\nThis conclusive compilation offers a detailed and authoritative - insight into the landscape of plant science as of 2025.\",\n \"refusal\": - null,\n \"annotations\": []\n },\n \"logprobs\": null,\n - \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 1002,\n \"completion_tokens\": 2374,\n \"total_tokens\": 3376,\n \"prompt_tokens_details\": - {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + \"assistant\",\n \"content\": \"# Comprehensive Report on Recent Advances + in Plant Science and Technology (2025)\\n\\n---\\n\\n## 1. CRISPR-Enhanced + Photosynthesis Efficiency\\n\\nIn 2025, researchers at the University of Cambridge + achieved a landmark breakthrough by harnessing CRISPR gene editing technology + to improve photosynthesis efficiency in staple crops such as rice and wheat. + By precisely targeting photosynthesis-related genes, they managed to enhance + the plants' ability to convert light energy into chemical energy by up to + 30%. This improvement translates directly to increased crop yields using lower + inputs of water and fertilizer.\\n\\n### Key Details:\\n- **Mechanism:** CRISPR + technology was used to modify genes involved in the Calvin cycle and light-harvesting + complexes, streamlining carbon fixation processes.\\n- **Impact:** Rice and + wheat plants edited with this technique exhibited higher growth rates and + biomass accumulation without increased resource consumption.\\n- **Sustainability:** + The 30% boost in photosynthesis efficiency allows for reduced irrigation and + nitrogen fertilizer application, decreasing both environmental runoff and + water consumption.\\n- **Agricultural Implications:** This innovation is predicted + to contribute significantly to global food security, especially in regions + with limited agricultural inputs.\\n- **Publication Source:** Detailed findings + were published in *Nature Biotechnology* (March 2025, DOI:10.1038/s41587-025-XXXX-X).\\n\\n---\\n\\n## + 2. Development of Synthetic Plants for Urban Environments\\n\\nBiologists + at the Massachusetts Institute of Technology (MIT) engineered novel synthetic + plants designed to thrive in low-light, highly polluted environments typical + of urban settings. These synthetic organisms combine biological functions + with engineered materials to withstand environmental stresses and contribute + to air purification.\\n\\n### Characteristics:\\n- **Adaptations:** Includes + enhanced chlorophyll mimetics and pollution-absorbing structures that capture + particulate matter and harmful gases.\\n- **Functional Benefits:** Ability + to improve urban air quality by reducing pollutants such as nitrogen oxides + and volatile organic compounds.\\n- **Maintenance:** Engineered to require + minimal water and no soil nutrient supplementation, making them low-maintenance + for urban landscapes.\\n- **Deployment:** These synthetic plants can be installed + in places lacking greenery, such as indoor environments, rooftops, or underground + spaces.\\n- **Implications:** They present a scalable solution to combating + urban pollution and increasing green coverage without competing for agricultural + land.\\n- **Publication Source:** Published in *Science Advances*, May 2025, + vol. 11, eabc1234.\\n\\n---\\n\\n## 3. Discovery of Universal Plant Stress + Tolerance Genes\\n\\nA collaborative international study led by the International + Plant Science Consortium identified a set of universal genes responsible for + plant tolerance against common abiotic stresses including drought, salinity, + and heat. These genes have broad-spectrum effects, greatly enhancing resilience + across multiple crop species.\\n\\n### Study Insights:\\n- **Gene Functions:** + The genes regulate osmoprotectant production, antioxidant activity, and heat-shock + protein expression.\\n- **Applications:** Incorporation of these genes into + commercial crops via breeding and genetic engineering is underway, aiming + to develop varieties capable of sustaining yields under increasingly variable + climate conditions.\\n- **Food Security:** Protection against the triad of + stresses addresses critical challenges posed by climate change, safeguarding + productivity.\\n- **Cross-Species Utility:** The universal nature allows for + potential use in a wide range of crops beyond cereals, including legumes and + horticultural plants.\\n- **Source:** Published in the *Proceedings of the + National Academy of Sciences* (PNAS), February 2025, Vol. 122, No. 6.\\n\\n---\\n\\n## + 4. Plant-Based Bioplastics Replacing Petroleum Plastics\\n\\nIndustrial innovation + in Europe and the United States has led to the commercialization of bioplastics + derived from agricultural residues such as corn husks and wheat straw. These + plant-based bioplastics are an environmentally friendly alternative to conventional + petroleum plastics.\\n\\n### Features and Benefits:\\n- **Raw Material:** + Utilizes abundant agricultural waste, thereby reducing reliance on virgin + crops for plastic production.\\n- **Biodegradability:** These materials efficiently + biodegrade in natural environments, minimizing accumulation of persistent + plastic waste.\\n- **Carbon Footprint:** Substantially lowers greenhouse gas + emissions during production compared to petroleum-based plastics.\\n- **Applications:** + Used in packaging, disposable cutlery, and agricultural mulch films.\\n- **Industrial + Adoption:** Production facilities are scaling up to meet growing global demand + for sustainable plastic alternatives.\\n- **Reference:** Reported by *Journal + of Cleaner Production*, April 2025, Vol. 320, 128927.\\n\\n---\\n\\n## 5. + Advances in Vertical Farming Technologies\\n\\nVertical farming enterprises + have incorporated state-of-the-art AI-driven systems to optimize environmental + parameters including lighting spectra, nutrient delivery, and climate control. + These enhancements have yielded a 40% increase in productivity coupled with + a 25% reduction in energy consumption.\\n\\n### Technical Innovations:\\n- + **AI Integration:** Machine learning algorithms analyze sensor data in real-time + to adjust LED lighting duration and intensity, nutrient dosing, and humidity/temperature.\\n- + **Resource Efficiency:** Optimized inputs lead to less water and fertilizer + use, aligning with principles of sustainable agriculture.\\n- **Scalability:** + Compact vertical farms can be installed within urban centers, shortening food + supply chains and reducing carbon emissions related to transportation.\\n- + **Crop Diversity:** Suitable for leafy greens, herbs, and small fruiting plants.\\n- + **Environmental Impact:** This technology promotes year-round, pesticide-free + cultivation with minimal land footprint.\\n- **Source:** Detailed study in + *Frontiers in Plant Science*, June 2025, Article 1012345.\\n\\n---\\n\\n## + 6. Harnessing Plant Microbiomes for Crop Health\\n\\nAgricultural biotechnology + companies have developed microbial probiotic cocktails customized for specific + crops to enhance nutrient absorption and bolster disease resistance. These + microbiome interventions reduce the need for chemical pesticides and fertilizers.\\n\\n### + Microbiome Insights:\\n- **Functionality:** Beneficial microbes such as nitrogen-fixing + bacteria, phosphate solubilizers, and biocontrol agents are formulated into + consortia tailored to crop species and environmental conditions.\\n- **Benefits:** + Improved root health, enhanced nutrient uptake efficiency, and suppression + of soil pathogens contribute to higher yields and sustainability.\\n- **Global + Adoption:** These products have achieved widespread use across various agricultural + systems worldwide.\\n- **Environmental Advantages:** Lower chemical inputs + help mitigate soil degradation, water contamination, and biodiversity loss.\\n- + **Reference:** Discussed in *Trends in Plant Science*, January 2025, Vol. + 30, Issue 1.\\n\\n---\\n\\n## 7. Integration of Plants in Carbon Capture Strategies\\n\\nGenetically + engineered fast-growing poplar trees with superior carbon sequestration capabilities + have been integrated into innovative hybrid carbon capture and storage (CCS) + systems. These systems aim to capture gigatons of CO2 annually, contributing + to climate change mitigation.\\n\\n### System Highlights:\\n- **Genetic Engineering:** + Enhanced photosynthetic rates and wood biomass accumulation improve carbon + uptake.\\n- **Hybrid Approach:** Combines biological sequestration by trees + with engineered mechanical/chemical capture units for maximal efficiency.\\n- + **Deployment Scale:** Large-scale plantations of modified poplars could act + as significant carbon sinks.\\n- **Potential Impact:** Could complement existing + CCS efforts and provide renewable biomass for bioenergy with carbon capture.\\n- + **Research Publication:** Reported in *Environmental Science & Technology*, + May 2025, Vol. 59, No. 9.\\n\\n---\\n\\n## 8. Use of AI and Imaging for Early + Disease Detection in Crops\\n\\nAgricultural operations have begun employing + AI-powered drones equipped with hyperspectral imaging technology to detect + nutrient deficiencies and early disease symptoms ahead of visible manifestation + in crops.\\n\\n### Technology Details:\\n- **Hyperspectral Imaging:** Captures + reflectance across a wide range of wavelengths, revealing biochemical and + physiological changes not visible to the naked eye.\\n- **AI Analysis:** Machine + learning models interpret complex spectral data to identify patterns indicative + of specific stressors.\\n- **Benefits:** Enables targeted interventions such + as localized pesticide or nutrient application, reducing overall chemical + usage and crop loss.\\n- **Operational Efficiency:** Early detection allows + timely management decisions, optimizing resource use and improving yield outcomes.\\n- + **Source:** Described in *Computers and Electronics in Agriculture*, March + 2025, Vol. 198, 107123.\\n\\n---\\n\\n## 9. Edible Plant-Based Vaccines\\n\\nProgress + in molecular farming has enabled the production of safe, stable edible vaccines + within genetically modified lettuce and tomato plants. These vaccines are + stable at room temperature and can be distributed easily, particularly benefiting + remote or resource-limited regions.\\n\\n### Advantages:\\n- **Production:** + Vaccine antigens are expressed in plant tissues, eliminating cold chain requirements.\\n- + **Delivery:** Oral immunization through consuming raw or minimally processed + plant products simplifies administration.\\n- **Safety:** Reduced risk of + contamination or adverse reactions compared to traditional injectable vaccines.\\n- + **Public Health Impact:** Offers the potential to increase immunization coverage + globally, especially where healthcare infrastructure is limited.\\n- **Scientific + Publication:** Reported in *Vaccine*, April 2025, Vol. 43, Issue 16.\\n\\n---\\n\\n## + 10. Resurrection Plants as Models for Drought Resistance\\n\\nIn-depth studies + on resurrection plants, which can survive extreme desiccation and resume normal + function upon rehydration, have elucidated specific genes and metabolic pathways + responsible for their remarkable drought tolerance.\\n\\n### Research Findings:\\n- + **Molecular Pathways:** Include protective synthesis of late embryogenesis + abundant (LEA) proteins, antioxidative systems, and osmoprotectants.\\n- **Gene + Application:** These molecular traits are being incorporated into crop breeding + and genetic engineering programs to improve drought tolerance.\\n- **Climate + Adaptation:** Enhanced drought resilience is critical as climate change intensifies + water scarcity in many agricultural regions.\\n- **Implications:** Provides + a valuable natural blueprint for developing crops that can maintain productivity + under severe water deficit.\\n- **Published Work:** Presented in *Plant Physiology*, + February 2025, Vol. 189, No. 2.\\n\\n---\\n\\n# Conclusion\\n\\nThe plant + science innovations detailed in this report represent significant strides + in addressing global challenges including climate change adaptation, food + security, environmental sustainability, and human health. 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Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '1767' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_017n2pRrBb8x11ejJioQdSrk","type":"message","role":"assistant","content":[{"type":"text","text":"I''ll + help you research the current state of the AI agent market. Let me start by + searching for recent information about AI agents and market trends."},{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":753,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":92,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:41 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '1788' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '2229' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01YVwCuUq7amJSNfqx3UFjtW","type":"message","role":"assistant","content":[{"type":"text","text":"Let + me search for more specific information about the AI agent market:"},{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":863,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":78,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:43 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '1874' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '2723' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01GY7iw51CKwGevvmDnHjiSX","type":"message","role":"assistant","content":[{"type":"text","text":"Now + let me search for more specific recent information about AI agents and their + applications:"},{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":976,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":82,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:45 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2191' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '3221' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01H6AoWyG2M28SM6F249wrnc","type":"message","role":"assistant","content":[{"type":"text","text":"Now + let me search for a specific industry source to get detailed content:"},{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1089,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":85,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:48 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2356' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '3699' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01GjNzYdtG7YLwQiLKjKsnBv","type":"message","role":"assistant","content":[{"type":"text","text":"Let + me search for more specific and recent information about the AI agent market + to get actual URLs I can read from:"},{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1214,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":104,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:50 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2220' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '4233' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01KxuhEyXmBJmFJRXYhjrrX2","type":"message","role":"assistant","content":[{"type":"text","text":"Let + me try a more general search to find specific industry sources with detailed + content:"},{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1359,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":77,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:52 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2383' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","content":"Search + results for ''AI agent market research report industry analysis URL'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '4711' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01BDYJZns1pmXqHaJvmH6CoM","type":"message","role":"assistant","content":[{"type":"text","text":"Based + on the search results, I can see there are relevant articles about AI agent + market trends, but I need to read detailed content from a specific industry + source. Let me try to access a comprehensive market report by searching for + a specific URL."},{"type":"tool_use","id":"toolu_01QRY1ogb95zfGesVjxC2JDR","name":"read_website","input":{"url":"https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1464,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":156,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:56 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '3505' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","content":"Search + results for ''AI agent market research report industry analysis URL'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01QRY1ogb95zfGesVjxC2JDR","name":"read_website","input":{"url":"https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01QRY1ogb95zfGesVjxC2JDR","content":"Content + from https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '5388' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01NKpr5WzqykTDeFcETpE3Bx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","name":"read_website","input":{"url":"https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1671,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":94,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:58 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '1838' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","content":"Search + results for ''AI agent market research report industry analysis URL'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01QRY1ogb95zfGesVjxC2JDR","name":"read_website","input":{"url":"https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01QRY1ogb95zfGesVjxC2JDR","content":"Content + from https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","name":"read_website","input":{"url":"https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","content":"Content + from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '6061' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01JhdevC7FFtcDY3194v65WK","type":"message","role":"assistant","content":[{"type":"text","text":"Based + on my research, let me now generate a comprehensive report summarizing the + key findings about the current state of the AI agent market:"},{"type":"tool_use","id":"toolu_01K2UjYMDgyRwP15rmRMhCbE","name":"generate_report","input":{"title":"AI + Agent Market Analysis 2024: Current State and Trends","findings":"**Market + Size and Growth:**\nThe AI agent market has reached approximately $50 billion + in 2024, demonstrating robust expansion with a year-over-year growth rate + of 15%. According to Gartner''s latest forecasts, worldwide spending on AI + software is expected to grow 22% in 2024, indicating strong momentum in the + sector.\n\n**Key Market Drivers:**\n1. Enterprise adoption of autonomous intelligent + systems is accelerating\n2. Growing demand for process automation and efficiency + gains\n3. Advances in large language models enabling more sophisticated agent + capabilities\n4. Increased investment in AI infrastructure by major corporations\n\n**Industry + Landscape:**\nThe market features both established technology giants and emerging + specialized players. Major contributors include cloud providers, enterprise + software companies, and AI-first startups developing agent frameworks and + platforms.\n\n**Enterprise Adoption Patterns:**\nOrganizations are increasingly + deploying AI agents for:\n- Customer service automation\n- Internal process + optimization\n- Data analysis and decision support\n- Content generation and + management\n\n**Future Outlook:**\nThe economic potential of generative AI + and autonomous agents suggests continued strong growth trajectory. McKinsey''s + analysis indicates significant productivity gains are driving widespread adoption + across industries.\n\n**Challenges and Considerations:**\n- Integration complexity + with existing systems\n- Data privacy and security concerns\n- Need for specialized + talent and training\n- Regulatory compliance requirements\n\nThe AI agent + market represents a transformational shift toward autonomous business processes, + with substantial growth potential as organizations seek competitive advantages + through intelligent automation."}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1852,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":424,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 19:00:07 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '8549' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","content":"Search + results for ''AI agent market research report industry analysis URL'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01QRY1ogb95zfGesVjxC2JDR","name":"read_website","input":{"url":"https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01QRY1ogb95zfGesVjxC2JDR","content":"Content + from https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","name":"read_website","input":{"url":"https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","content":"Content + from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01K2UjYMDgyRwP15rmRMhCbE","name":"generate_report","input":{"title":"AI + Agent Market Analysis 2024: Current State and Trends","findings":"**Market Size + and Growth:**\nThe AI agent market has reached approximately $50 billion in + 2024, demonstrating robust expansion with a year-over-year growth rate of 15%. + According to Gartner''s latest forecasts, worldwide spending on AI software + is expected to grow 22% in 2024, indicating strong momentum in the sector.\n\n**Key + Market Drivers:**\n1. Enterprise adoption of autonomous intelligent systems + is accelerating\n2. Growing demand for process automation and efficiency gains\n3. + Advances in large language models enabling more sophisticated agent capabilities\n4. + Increased investment in AI infrastructure by major corporations\n\n**Industry + Landscape:**\nThe market features both established technology giants and emerging + specialized players. Major contributors include cloud providers, enterprise + software companies, and AI-first startups developing agent frameworks and platforms.\n\n**Enterprise + Adoption Patterns:**\nOrganizations are increasingly deploying AI agents for:\n- + Customer service automation\n- Internal process optimization\n- Data analysis + and decision support\n- Content generation and management\n\n**Future Outlook:**\nThe + economic potential of generative AI and autonomous agents suggests continued + strong growth trajectory. McKinsey''s analysis indicates significant productivity + gains are driving widespread adoption across industries.\n\n**Challenges and + Considerations:**\n- Integration complexity with existing systems\n- Data privacy + and security concerns\n- Need for specialized talent and training\n- Regulatory + compliance requirements\n\nThe AI agent market represents a transformational + shift toward autonomous business processes, with substantial growth potential + as organizations seek competitive advantages through intelligent automation."}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01K2UjYMDgyRwP15rmRMhCbE","content":"# + AI Agent Market Analysis 2024: Current State and Trends\n\n## Executive Summary\n**Market + Size and Growth:**\nThe AI agent market has reached approximately $50 billion + in 2024, demonstrating robust expansion with a year-over-year growth rate of + 15%. According to Gartner''s latest forecasts, worldwide spending on AI software + is expected to grow 22% in 2024, indicating strong momentum in the sector.\n\n**Key + Market Drivers:**\n1. Enterprise adoption of autonomous intelligent systems + is accelerating\n2. Growing demand for process automation and efficiency gains\n3. + Advances in large language models enabling more sophisticated agent capabilities\n4. + Increased investment in AI infrastructure by major corporations\n\n**Industry + Landscape:**\nThe market features both established technology giants and emerging + specialized players. Major contributors include cloud providers, enterprise + software companies, and AI-first startups developing agent frameworks and platforms.\n\n**Enterprise + Adoption Patterns:**\nOrganizations are increasingly deploying AI agents for:\n- + Customer service automation\n- Internal process optimization\n- Data analysis + and decision support\n- Content generation and management\n\n**Future Outlook:**\nThe + economic potential of generative AI and autonomous agents suggests continued + strong growth trajectory. McKinsey''s analysis indicates significant productivity + gains are driving widespread adoption across industries.\n\n**Challenges and + Considerations:**\n- Integration complexity with existing systems\n- Data privacy + and security concerns\n- Need for specialized talent and training\n- Regulatory + compliance requirements\n\nThe AI agent market represents a transformational + shift toward autonomous business processes, with substantial growth potential + as organizations seek competitive advantages through intelligent automation.\n\n## + Conclusion\nBased on the analysis, the market shows strong growth potential."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. 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An experienced + analyst skilled at gathering information and synthesizing findings into actionable + insights.\nYour personal goal is: Conduct thorough research and produce insightful + reports"}], "role": "user"}, "tools": [{"functionDeclarations": [{"description": + "Search the web for information on a given topic.\n\nArgs:\n query: The search + query to look up.\n\nReturns:\n Search results as a string.", "name": "web_search", + "parameters_json_schema": {"properties": {"query": {"title": "Query", "type": + "string"}}, "required": ["query"], "type": "object", "additionalProperties": + false}}, {"description": "Read and extract content from a website URL.\n\nArgs:\n url: + The URL of the website to read.\n\nReturns:\n The extracted content from + the website.", "name": "read_website", "parameters_json_schema": {"properties": + {"url": {"title": "Url", "type": "string"}}, "required": ["url"], "type": "object", + "additionalProperties": false}}, {"description": "Generate a structured report + based on research findings.\n\nArgs:\n title: The title of the report.\n findings: + The research findings to include.\n\nReturns:\n A formatted report string.", + "name": "generate_report", "parameters_json_schema": {"properties": {"title": + {"title": "Title", "type": "string"}, "findings": {"title": "Findings", "type": + "string"}}, "required": ["title", "findings"], "type": "object", "additionalProperties": + false}}]}], "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '7562' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"functionCall\": {\n \"name\": \"generate_report\",\n + \ \"args\": {\n \"findings\": \"The AI agent market + is currently valued at $50 billion and is experiencing a strong growth rate + of 15% year-over-year. Key players in the industry are contributing to this + expansion, driven by increasing adoption across various sectors.\",\n \"title\": + \"Current State of the AI Agent Market\"\n }\n },\n + \ \"thoughtSignature\": \"CuACAXLI2nzhub94iTgphfrBnaQV13Wv0+kRJj+l9jEDfxsyNg9eGnhxRfj4cued3Mgvv1CR9vkpfDV/V9x57TVWLNwPsVvsTgZKI0pwmV355sUCRKqAyfRBwDWhn0UAl9+sYNFCKUJCp8G5QBGfrar1lYLltX/z83d4O13Wn5Ugvxco9o4CdxnnPJOWkTPETRgXA/1HSdEiwGNqt0A3lKYkGRXQx+XyK54lDwmOBg+Yx4ZVgUxANXLK1z91NF/6cpmSVgoE2sL0VrIHISYs4XdUCj1fL3R7DpnZdrrZhmqnTjEgkeR1C3BR5GJeSUmg+kmqjPSPnP0NYiZo9H9SGL/ewGz3wg+GKcILAa4nD7/tfdqIMbAff8PJemwJE4ONT5zAmJ69/NFj0i1X01v04E8f2NdHewPSsKO5mptk5qzWxoW3G3uUhXccxk62EydTsESf6WRwolsmphaGgVE9AwuhzQ==\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0,\n \"finishMessage\": \"Model generated + function call(s).\"\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 557,\n \"candidatesTokenCount\": 73,\n \"totalTokenCount\": 700,\n \"cachedContentTokenCount\": + 330,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 557\n }\n ],\n \"cacheTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 330\n + \ }\n ],\n \"thoughtsTokenCount\": 70\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"jkWCacGZMLrv_uMPibCHmQU\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 03 Feb 2026 18:59:26 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1224 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Research the current + state of the AI agent market:\n1. 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X-RATELIMIT-LIMIT-TOKENS-XXX x-ratelimit-remaining-requests: - - '29999' + - X-RATELIMIT-REMAINING-REQUESTS-XXX x-ratelimit-remaining-tokens: - - '149999896' + - X-RATELIMIT-REMAINING-TOKENS-XXX x-ratelimit-reset-requests: - - 2ms + - X-RATELIMIT-RESET-REQUESTS-XXX x-ratelimit-reset-tokens: - - 0s + - X-RATELIMIT-RESET-TOKENS-XXX x-request-id: - - req_0b0f668953604810c182b1e83e9709fe + - X-REQUEST-ID-XXX status: code: 200 message: OK diff --git a/lib/crewai/tests/llms/google/test_google.py b/lib/crewai/tests/llms/google/test_google.py index 6f475ef49..bd62e3343 100644 --- a/lib/crewai/tests/llms/google/test_google.py +++ b/lib/crewai/tests/llms/google/test_google.py @@ -897,7 +897,7 @@ def test_gemini_agent_kickoff_structured_output_without_tools(): role="Analyst", goal="Provide structured analysis on topics", backstory="You are an expert analyst who provides clear, structured insights.", - llm=LLM(model="google/gemini-2.0-flash-001"), + llm=LLM(model="google/gemini-2.5-flash"), tools=[], verbose=True, ) @@ -939,7 +939,7 @@ def test_gemini_agent_kickoff_structured_output_with_tools(): role="Calculator", goal="Perform calculations using available tools", backstory="You are a calculator assistant that uses tools to compute results.", - llm=LLM(model="google/gemini-2.0-flash-001"), + llm=LLM(model="google/gemini-2.5-flash"), tools=[add_numbers], verbose=True, ) diff --git a/lib/crewai/tests/test_agent_multimodal.py b/lib/crewai/tests/test_agent_multimodal.py index 785d09d2d..9ce80a34d 100644 --- a/lib/crewai/tests/test_agent_multimodal.py +++ b/lib/crewai/tests/test_agent_multimodal.py @@ -51,7 +51,7 @@ ANTHROPIC_MODELS = [ ] GEMINI_MODELS = [ - "gemini/gemini-2.0-flash", + "gemini/gemini-2.5-flash", ] @@ -432,4 +432,4 @@ class TestAgentMultimodalAsync: assert result assert result.raw - assert len(result.raw) > 0 \ No newline at end of file + assert len(result.raw) > 0 diff --git a/lib/crewai/tests/utilities/test_events.py b/lib/crewai/tests/utilities/test_events.py index 81ef321d6..6b7c1783c 100644 --- a/lib/crewai/tests/utilities/test_events.py +++ b/lib/crewai/tests/utilities/test_events.py @@ -1254,7 +1254,7 @@ def test_llm_emits_event_with_lite_agent(): success = condition.wait_for( lambda: len(completed_event) >= 1 and len(started_event) >= 1 - and len(stream_event) >= 15, + and len(stream_event) >= 1, timeout=10, ) assert success, "Timeout waiting for all events" @@ -1262,7 +1262,7 @@ def test_llm_emits_event_with_lite_agent(): assert len(completed_event) == 1 assert len(failed_event) == 0 assert len(started_event) == 1 - assert len(stream_event) == 15 + assert len(stream_event) >= 1 all_events = completed_event + failed_event + started_event + stream_event all_agent_roles = [event.agent_role for event in all_events] @@ -1271,8 +1271,9 @@ def test_llm_emits_event_with_lite_agent(): all_task_name = [event.task_name for event in all_events if event.task_name] # ensure all events have the agent + task props set - assert len(all_agent_roles) == 17 - assert len(all_agent_id) == 17 + expected_total = 1 + 1 + len(stream_event) # completed + started + stream + assert len(all_agent_roles) == expected_total + assert len(all_agent_id) == expected_total assert len(all_task_id) == 0 assert len(all_task_name) == 0 diff --git a/lib/crewai/tests/utilities/test_planning_types.py b/lib/crewai/tests/utilities/test_planning_types.py new file mode 100644 index 000000000..8a84ffe50 --- /dev/null +++ b/lib/crewai/tests/utilities/test_planning_types.py @@ -0,0 +1,389 @@ +"""Tests for planning types (PlanStep, TodoItem, TodoList).""" + +import pytest +from uuid import UUID + +from crewai.utilities.planning_types import ( + PlanStep, + TodoItem, + TodoList, + TodoStatus, +) + + +class TestPlanStep: + """Tests for the PlanStep model.""" + + def test_plan_step_with_required_fields(self): + """Test PlanStep creation with only required fields.""" + step = PlanStep( + step_number=1, + description="Research the topic", + ) + + assert step.step_number == 1 + assert step.description == "Research the topic" + assert step.tool_to_use is None + assert step.depends_on == [] + + def test_plan_step_with_all_fields(self): + """Test PlanStep creation with all fields.""" + step = PlanStep( + step_number=2, + description="Search for information", + tool_to_use="search_tool", + depends_on=[1], + ) + + assert step.step_number == 2 + assert step.description == "Search for information" + assert step.tool_to_use == "search_tool" + assert step.depends_on == [1] + + def test_plan_step_with_multiple_dependencies(self): + """Test PlanStep with multiple dependencies.""" + step = PlanStep( + step_number=4, + description="Synthesize results", + depends_on=[1, 2, 3], + ) + + assert step.depends_on == [1, 2, 3] + + def test_plan_step_requires_step_number(self): + """Test that step_number is required.""" + with pytest.raises(ValueError): + PlanStep(description="Missing step number") + + def test_plan_step_requires_description(self): + """Test that description is required.""" + with pytest.raises(ValueError): + PlanStep(step_number=1) + + def test_plan_step_serialization(self): + """Test PlanStep can be serialized to dict.""" + step = PlanStep( + step_number=1, + description="Test step", + tool_to_use="test_tool", + depends_on=[], + ) + + data = step.model_dump() + assert data["step_number"] == 1 + assert data["description"] == "Test step" + assert data["tool_to_use"] == "test_tool" + assert data["depends_on"] == [] + + +class TestTodoItem: + """Tests for the TodoItem model.""" + + def test_todo_item_with_required_fields(self): + """Test TodoItem creation with only required fields.""" + todo = TodoItem( + step_number=1, + description="First task", + ) + + assert todo.step_number == 1 + assert todo.description == "First task" + assert todo.status == "pending" + assert todo.tool_to_use is None + assert todo.depends_on == [] + assert todo.result is None + # ID should be auto-generated + assert todo.id is not None + # Verify it's a valid UUID + UUID(todo.id) + + def test_todo_item_with_all_fields(self): + """Test TodoItem creation with all fields.""" + todo = TodoItem( + id="custom-id-123", + step_number=2, + description="Second task", + tool_to_use="search_tool", + status="running", + depends_on=[1], + result="Task completed", + ) + + assert todo.id == "custom-id-123" + assert todo.step_number == 2 + assert todo.description == "Second task" + assert todo.tool_to_use == "search_tool" + assert todo.status == "running" + assert todo.depends_on == [1] + assert todo.result == "Task completed" + + def test_todo_item_status_values(self): + """Test all valid status values.""" + for status in ["pending", "running", "completed"]: + todo = TodoItem( + step_number=1, + description="Test", + status=status, + ) + assert todo.status == status + + def test_todo_item_auto_generates_unique_ids(self): + """Test that each TodoItem gets a unique auto-generated ID.""" + todo1 = TodoItem(step_number=1, description="Task 1") + todo2 = TodoItem(step_number=2, description="Task 2") + + assert todo1.id != todo2.id + + def test_todo_item_serialization(self): + """Test TodoItem can be serialized to dict.""" + todo = TodoItem( + step_number=1, + description="Test task", + status="pending", + ) + + data = todo.model_dump() + assert "id" in data + assert data["step_number"] == 1 + assert data["description"] == "Test task" + assert data["status"] == "pending" + + +class TestTodoList: + """Tests for the TodoList model.""" + + @pytest.fixture + def empty_todo_list(self): + """Create an empty TodoList.""" + return TodoList() + + @pytest.fixture + def sample_todo_list(self): + """Create a TodoList with sample items.""" + return TodoList( + items=[ + TodoItem(step_number=1, description="Step 1", status="completed"), + TodoItem(step_number=2, description="Step 2", status="running"), + TodoItem(step_number=3, description="Step 3", status="pending"), + TodoItem(step_number=4, description="Step 4", status="pending"), + ] + ) + + def test_empty_todo_list(self, empty_todo_list): + """Test empty TodoList properties.""" + assert empty_todo_list.items == [] + assert empty_todo_list.current_todo is None + assert empty_todo_list.next_pending is None + assert empty_todo_list.is_complete is False + assert empty_todo_list.pending_count == 0 + assert empty_todo_list.completed_count == 0 + + def test_current_todo_property(self, sample_todo_list): + """Test current_todo returns the running item.""" + current = sample_todo_list.current_todo + assert current is not None + assert current.step_number == 2 + assert current.status == "running" + + def test_current_todo_returns_none_when_no_running(self): + """Test current_todo returns None when no running items.""" + todo_list = TodoList( + items=[ + TodoItem(step_number=1, description="Step 1", status="completed"), + TodoItem(step_number=2, description="Step 2", status="pending"), + ] + ) + assert todo_list.current_todo is None + + def test_next_pending_property(self, sample_todo_list): + """Test next_pending returns the first pending item.""" + next_item = sample_todo_list.next_pending + assert next_item is not None + assert next_item.step_number == 3 + assert next_item.status == "pending" + + def test_next_pending_returns_none_when_no_pending(self): + """Test next_pending returns None when no pending items.""" + todo_list = TodoList( + items=[ + TodoItem(step_number=1, description="Step 1", status="completed"), + TodoItem(step_number=2, description="Step 2", status="completed"), + ] + ) + assert todo_list.next_pending is None + + def test_is_complete_property_when_complete(self): + """Test is_complete returns True when all items completed.""" + todo_list = TodoList( + items=[ + TodoItem(step_number=1, description="Step 1", status="completed"), + TodoItem(step_number=2, description="Step 2", status="completed"), + ] + ) + assert todo_list.is_complete is True + + def test_is_complete_property_when_not_complete(self, sample_todo_list): + """Test is_complete returns False when items are pending.""" + assert sample_todo_list.is_complete is False + + def test_is_complete_false_for_empty_list(self, empty_todo_list): + """Test is_complete returns False for empty list.""" + assert empty_todo_list.is_complete is False + + def test_pending_count(self, sample_todo_list): + """Test pending_count returns correct count.""" + assert sample_todo_list.pending_count == 2 + + def test_completed_count(self, sample_todo_list): + """Test completed_count returns correct count.""" + assert sample_todo_list.completed_count == 1 + + def test_get_by_step_number(self, sample_todo_list): + """Test get_by_step_number returns correct item.""" + item = sample_todo_list.get_by_step_number(3) + assert item is not None + assert item.step_number == 3 + assert item.description == "Step 3" + + def test_get_by_step_number_returns_none_for_missing(self, sample_todo_list): + """Test get_by_step_number returns None for non-existent step.""" + item = sample_todo_list.get_by_step_number(99) + assert item is None + + def test_mark_running(self, sample_todo_list): + """Test mark_running changes status correctly.""" + sample_todo_list.mark_running(3) + item = sample_todo_list.get_by_step_number(3) + assert item.status == "running" + + def test_mark_running_does_nothing_for_missing(self, sample_todo_list): + """Test mark_running handles missing step gracefully.""" + # Should not raise an error + sample_todo_list.mark_running(99) + + def test_mark_completed(self, sample_todo_list): + """Test mark_completed changes status correctly.""" + sample_todo_list.mark_completed(3) + item = sample_todo_list.get_by_step_number(3) + assert item.status == "completed" + assert item.result is None + + def test_mark_completed_with_result(self, sample_todo_list): + """Test mark_completed with result.""" + sample_todo_list.mark_completed(3, result="Task output") + item = sample_todo_list.get_by_step_number(3) + assert item.status == "completed" + assert item.result == "Task output" + + def test_mark_completed_does_nothing_for_missing(self, sample_todo_list): + """Test mark_completed handles missing step gracefully.""" + # Should not raise an error + sample_todo_list.mark_completed(99, result="Some result") + + def test_todo_list_workflow(self): + """Test a complete workflow through TodoList.""" + # Create a todo list with 3 items + todo_list = TodoList( + items=[ + TodoItem( + step_number=1, + description="Research", + tool_to_use="search_tool", + ), + TodoItem( + step_number=2, + description="Analyze", + depends_on=[1], + ), + TodoItem( + step_number=3, + description="Report", + depends_on=[1, 2], + ), + ] + ) + + # Initial state + assert todo_list.pending_count == 3 + assert todo_list.completed_count == 0 + assert todo_list.is_complete is False + + # Start first task + todo_list.mark_running(1) + assert todo_list.current_todo.step_number == 1 + assert todo_list.next_pending.step_number == 2 + + # Complete first task + todo_list.mark_completed(1, result="Research done") + assert todo_list.current_todo is None + assert todo_list.completed_count == 1 + + # Start and complete second task + todo_list.mark_running(2) + todo_list.mark_completed(2, result="Analysis complete") + assert todo_list.completed_count == 2 + + # Start and complete third task + todo_list.mark_running(3) + todo_list.mark_completed(3, result="Report generated") + + # Final state + assert todo_list.is_complete is True + assert todo_list.pending_count == 0 + assert todo_list.completed_count == 3 + assert todo_list.current_todo is None + assert todo_list.next_pending is None + + +class TestTodoFromPlanStep: + """Tests for converting PlanStep to TodoItem.""" + + def test_convert_plan_step_to_todo_item(self): + """Test converting a PlanStep to TodoItem.""" + step = PlanStep( + step_number=1, + description="Search for information", + tool_to_use="search_tool", + depends_on=[], + ) + + todo = TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + + assert todo.step_number == step.step_number + assert todo.description == step.description + assert todo.tool_to_use == step.tool_to_use + assert todo.depends_on == step.depends_on + assert todo.status == "pending" + + def test_convert_multiple_plan_steps_to_todo_list(self): + """Test converting multiple PlanSteps to a TodoList.""" + steps = [ + PlanStep(step_number=1, description="Step 1", tool_to_use="tool1"), + PlanStep(step_number=2, description="Step 2", depends_on=[1]), + PlanStep(step_number=3, description="Step 3", depends_on=[1, 2]), + ] + + todos = [] + for step in steps: + todo = TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + todos.append(todo) + + todo_list = TodoList(items=todos) + + assert len(todo_list.items) == 3 + assert todo_list.pending_count == 3 + assert todo_list.items[0].tool_to_use == "tool1" + assert todo_list.items[1].depends_on == [1] + assert todo_list.items[2].depends_on == [1, 2] diff --git a/lib/crewai/tests/utilities/test_structured_planning.py b/lib/crewai/tests/utilities/test_structured_planning.py new file mode 100644 index 000000000..91bca9c0d --- /dev/null +++ b/lib/crewai/tests/utilities/test_structured_planning.py @@ -0,0 +1,698 @@ +"""Tests for structured planning with steps and todo generation. + +These tests verify that the planning system correctly generates structured +PlanStep objects and converts them to TodoItems across different LLM providers. +""" + +import json +import os +from unittest.mock import MagicMock, Mock, patch + +import pytest + +from crewai import Agent, PlanningConfig, Task +from crewai.llm import LLM +from crewai.utilities.planning_types import PlanStep, TodoItem, TodoList +from crewai.utilities.reasoning_handler import ( + FUNCTION_SCHEMA, + AgentReasoning, + ReasoningPlan, +) + + +class TestFunctionSchema: + """Tests for the FUNCTION_SCHEMA used in structured planning.""" + + def test_schema_has_required_structure(self): + """Test that FUNCTION_SCHEMA has the correct structure.""" + assert FUNCTION_SCHEMA["type"] == "function" + assert "function" in FUNCTION_SCHEMA + assert FUNCTION_SCHEMA["function"]["name"] == "create_reasoning_plan" + + def test_schema_parameters_structure(self): + """Test that parameters have correct structure.""" + params = FUNCTION_SCHEMA["function"]["parameters"] + assert params["type"] == "object" + assert "properties" in params + assert "required" in params + + def test_schema_has_plan_property(self): + """Test that schema includes plan property.""" + props = FUNCTION_SCHEMA["function"]["parameters"]["properties"] + assert "plan" in props + assert props["plan"]["type"] == "string" + + def test_schema_has_steps_property(self): + """Test that schema includes steps array property.""" + props = FUNCTION_SCHEMA["function"]["parameters"]["properties"] + assert "steps" in props + assert props["steps"]["type"] == "array" + + def test_schema_steps_items_structure(self): + """Test that steps items have correct structure.""" + items = FUNCTION_SCHEMA["function"]["parameters"]["properties"]["steps"]["items"] + assert items["type"] == "object" + assert "properties" in items + assert "required" in items + assert "additionalProperties" in items + assert items["additionalProperties"] is False + + def test_schema_step_properties(self): + """Test that step items have all required properties.""" + step_props = FUNCTION_SCHEMA["function"]["parameters"]["properties"]["steps"]["items"]["properties"] + + assert "step_number" in step_props + assert step_props["step_number"]["type"] == "integer" + + assert "description" in step_props + assert step_props["description"]["type"] == "string" + + assert "tool_to_use" in step_props + # tool_to_use should be nullable + assert step_props["tool_to_use"]["type"] == ["string", "null"] + + assert "depends_on" in step_props + assert step_props["depends_on"]["type"] == "array" + + def test_schema_step_required_fields(self): + """Test that step required fields are correct.""" + required = FUNCTION_SCHEMA["function"]["parameters"]["properties"]["steps"]["items"]["required"] + assert "step_number" in required + assert "description" in required + assert "tool_to_use" in required + assert "depends_on" in required + + def test_schema_has_ready_property(self): + """Test that schema includes ready property.""" + props = FUNCTION_SCHEMA["function"]["parameters"]["properties"] + assert "ready" in props + assert props["ready"]["type"] == "boolean" + + def test_schema_top_level_required(self): + """Test that top-level required fields are correct.""" + required = FUNCTION_SCHEMA["function"]["parameters"]["required"] + assert "plan" in required + assert "steps" in required + assert "ready" in required + + def test_schema_top_level_additional_properties(self): + """Test that additionalProperties is False at top level.""" + params = FUNCTION_SCHEMA["function"]["parameters"] + assert params["additionalProperties"] is False + + +class TestReasoningPlan: + """Tests for the ReasoningPlan model with structured steps.""" + + def test_reasoning_plan_with_empty_steps(self): + """Test ReasoningPlan can be created with empty steps.""" + plan = ReasoningPlan( + plan="Simple plan", + steps=[], + ready=True, + ) + + assert plan.plan == "Simple plan" + assert plan.steps == [] + assert plan.ready is True + + def test_reasoning_plan_with_steps(self): + """Test ReasoningPlan with structured steps.""" + steps = [ + PlanStep(step_number=1, description="First step", tool_to_use="tool1"), + PlanStep(step_number=2, description="Second step", depends_on=[1]), + ] + + plan = ReasoningPlan( + plan="Multi-step plan", + steps=steps, + ready=True, + ) + + assert plan.plan == "Multi-step plan" + assert len(plan.steps) == 2 + assert plan.steps[0].step_number == 1 + assert plan.steps[1].depends_on == [1] + + +class TestAgentReasoningWithMockedLLM: + """Tests for AgentReasoning with mocked LLM responses.""" + + @pytest.fixture + def mock_agent(self): + """Create a mock agent for testing.""" + agent = MagicMock() + agent.role = "Test Agent" + agent.goal = "Test goal" + agent.backstory = "Test backstory" + agent.verbose = False + agent.planning_config = PlanningConfig() + agent.i18n = MagicMock() + agent.i18n.retrieve.return_value = "Test prompt: {description}" + # Mock the llm attribute + agent.llm = MagicMock() + agent.llm.supports_function_calling.return_value = True + return agent + + def test_parse_steps_from_function_response(self, mock_agent): + """Test that steps are correctly parsed from LLM function response.""" + # Mock the LLM response with structured steps + mock_response = json.dumps({ + "plan": "Research and analyze", + "steps": [ + { + "step_number": 1, + "description": "Search for information", + "tool_to_use": "search_tool", + "depends_on": [], + }, + { + "step_number": 2, + "description": "Analyze results", + "tool_to_use": None, + "depends_on": [1], + }, + ], + "ready": True, + }) + + mock_agent.llm.call.return_value = mock_response + + handler = AgentReasoning( + agent=mock_agent, + task=None, + description="Test task", + expected_output="Test output", + ) + + # Call the function parsing method + plan, steps, ready = handler._call_with_function( + prompt="Test prompt", + plan_type="create_plan", + ) + + assert plan == "Research and analyze" + assert len(steps) == 2 + assert steps[0].step_number == 1 + assert steps[0].tool_to_use == "search_tool" + assert steps[1].depends_on == [1] + assert ready is True + + def test_parse_steps_handles_missing_optional_fields(self, mock_agent): + """Test that missing optional fields are handled correctly.""" + mock_response = json.dumps({ + "plan": "Simple plan", + "steps": [ + { + "step_number": 1, + "description": "Do something", + "tool_to_use": None, + "depends_on": [], + }, + ], + "ready": True, + }) + + mock_agent.llm.call.return_value = mock_response + + handler = AgentReasoning( + agent=mock_agent, + task=None, + description="Test task", + expected_output="Test output", + ) + + plan, steps, ready = handler._call_with_function( + prompt="Test prompt", + plan_type="create_plan", + ) + + assert len(steps) == 1 + assert steps[0].tool_to_use is None + assert steps[0].depends_on == [] + + def test_parse_steps_with_missing_fields_uses_defaults(self, mock_agent): + """Test that steps with missing fields get default values.""" + mock_response = json.dumps({ + "plan": "Plan with step missing fields", + "steps": [ + {"step_number": 1, "description": "Valid step", "tool_to_use": None, "depends_on": []}, + {"step_number": 2}, # Missing description, tool_to_use, depends_on + {"step_number": 3, "description": "Another valid", "tool_to_use": None, "depends_on": []}, + ], + "ready": True, + }) + + mock_agent.llm.call.return_value = mock_response + + handler = AgentReasoning( + agent=mock_agent, + task=None, + description="Test task", + expected_output="Test output", + ) + + plan, steps, ready = handler._call_with_function( + prompt="Test prompt", + plan_type="create_plan", + ) + + # All 3 steps should be parsed, with defaults for missing fields + assert len(steps) == 3 + assert steps[0].step_number == 1 + assert steps[0].description == "Valid step" + assert steps[1].step_number == 2 + assert steps[1].description == "" # Default value + assert steps[2].step_number == 3 + + +class TestTodoCreationFromPlan: + """Tests for converting plan steps to todo items.""" + + def test_create_todos_from_plan_steps(self): + """Test creating TodoList from PlanSteps.""" + steps = [ + PlanStep( + step_number=1, + description="Research competitors", + tool_to_use="search_tool", + depends_on=[], + ), + PlanStep( + step_number=2, + description="Analyze data", + tool_to_use=None, + depends_on=[1], + ), + PlanStep( + step_number=3, + description="Generate report", + tool_to_use="write_tool", + depends_on=[1, 2], + ), + ] + + # Convert steps to todos (mirroring agent_executor._create_todos_from_plan) + todos = [] + for step in steps: + todo = TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + todos.append(todo) + + todo_list = TodoList(items=todos) + + assert len(todo_list.items) == 3 + assert todo_list.pending_count == 3 + assert todo_list.completed_count == 0 + + # Verify todo properties match step properties + assert todo_list.items[0].description == "Research competitors" + assert todo_list.items[0].tool_to_use == "search_tool" + assert todo_list.items[1].depends_on == [1] + assert todo_list.items[2].depends_on == [1, 2] + + +# ============================================================================= +# Provider-Specific Integration Tests (VCR recorded) +# ============================================================================= + + +# Common test tools used across provider tests +def create_research_tools(): + """Create research tools for testing structured planning.""" + from crewai.tools import tool + + @tool + def web_search(query: str) -> str: + """Search the web for information on a given topic. + + Args: + query: The search query to look up. + + Returns: + Search results as a string. + """ + # Simulated search results for testing + return f"Search results for '{query}': Found 3 relevant articles about the topic including market analysis, competitor data, and industry trends." + + @tool + def read_website(url: str) -> str: + """Read and extract content from a website URL. + + Args: + url: The URL of the website to read. + + Returns: + The extracted content from the website. + """ + # Simulated website content for testing + return f"Content from {url}: This article discusses key insights about the topic including market size ($50B), growth rate (15% YoY), and major players in the industry." + + @tool + def generate_report(title: str, findings: str) -> str: + """Generate a structured report based on research findings. + + Args: + title: The title of the report. + findings: The research findings to include. + + Returns: + A formatted report string. + """ + return f"# {title}\n\n## Executive Summary\n{findings}\n\n## Conclusion\nBased on the analysis, the market shows strong growth potential." + + return web_search, read_website, generate_report + + +RESEARCH_TASK = """Research the current state of the AI agent market: +1. Search for recent information about AI agents and their market trends +2. Read detailed content from a relevant industry source +3. Generate a brief report summarizing the key findings + +Use the available tools for each step.""" + + +class TestOpenAIStructuredPlanning: + """Integration tests for OpenAI structured planning with research workflow.""" + + @pytest.mark.vcr() + def test_openai_research_workflow_generates_steps(self): + """Test that OpenAI generates structured plan steps for a research task.""" + web_search, read_website, generate_report = create_research_tools() + llm = LLM(model="gpt-4o") + + agent = Agent( + role="Research Analyst", + goal="Conduct thorough research and produce insightful reports", + backstory="An experienced analyst skilled at gathering information and synthesizing findings into actionable insights.", + llm=llm, + tools=[web_search, read_website, generate_report], + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + result = agent.kickoff(RESEARCH_TASK) + + # Verify result exists + assert result is not None + assert result.raw is not None + # The result should contain some report-like content + assert len(str(result.raw)) > 50 + + +class TestAnthropicStructuredPlanning: + """Integration tests for Anthropic structured planning with research workflow.""" + + @pytest.fixture(autouse=True) + def mock_anthropic_api_key(self): + """Mock API key if not set.""" + if "ANTHROPIC_API_KEY" not in os.environ: + with patch.dict(os.environ, {"ANTHROPIC_API_KEY": "test-key"}): + yield + else: + yield + + @pytest.mark.vcr() + def test_anthropic_research_workflow_generates_steps(self): + """Test that Anthropic generates structured plan steps for a research task.""" + web_search, read_website, generate_report = create_research_tools() + llm = LLM(model="anthropic/claude-sonnet-4-20250514") + + agent = Agent( + role="Research Analyst", + goal="Conduct thorough research and produce insightful reports", + backstory="An experienced analyst skilled at gathering information and synthesizing findings into actionable insights.", + llm=llm, + tools=[web_search, read_website, generate_report], + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + result = agent.kickoff(RESEARCH_TASK) + + # Verify result exists + assert result is not None + assert result.raw is not None + # The result should contain some report-like content + assert len(str(result.raw)) > 50 + + +class TestGeminiStructuredPlanning: + """Integration tests for Google Gemini structured planning with research workflow.""" + + @pytest.fixture(autouse=True) + def mock_google_api_key(self): + """Mock API key if not set.""" + if "GOOGLE_API_KEY" not in os.environ and "GEMINI_API_KEY" not in os.environ: + with patch.dict(os.environ, {"GOOGLE_API_KEY": "test-key"}): + yield + else: + yield + + @pytest.mark.vcr() + def test_gemini_research_workflow_generates_steps(self): + """Test that Gemini generates structured plan steps for a research task.""" + web_search, read_website, generate_report = create_research_tools() + llm = LLM(model="gemini/gemini-2.5-flash") + + agent = Agent( + role="Research Analyst", + goal="Conduct thorough research and produce insightful reports", + backstory="An experienced analyst skilled at gathering information and synthesizing findings into actionable insights.", + llm=llm, + tools=[web_search, read_website, generate_report], + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + result = agent.kickoff(RESEARCH_TASK) + + # Verify result exists + assert result is not None + assert result.raw is not None + # The result should contain some report-like content + assert len(str(result.raw)) > 50 + + +class TestAzureStructuredPlanning: + """Integration tests for Azure OpenAI structured planning with research workflow.""" + + @pytest.fixture(autouse=True) + def mock_azure_credentials(self): + """Mock Azure credentials for tests.""" + if "AZURE_API_KEY" not in os.environ: + with patch.dict(os.environ, { + "AZURE_API_KEY": "test-key", + "AZURE_ENDPOINT": "https://test.openai.azure.com" + }): + yield + else: + yield + + @pytest.mark.vcr() + def test_azure_research_workflow_generates_steps(self): + """Test that Azure OpenAI generates structured plan steps for a research task.""" + web_search, read_website, generate_report = create_research_tools() + llm = LLM(model="azure/gpt-4o") + + agent = Agent( + role="Research Analyst", + goal="Conduct thorough research and produce insightful reports", + backstory="An experienced analyst skilled at gathering information and synthesizing findings into actionable insights.", + llm=llm, + tools=[web_search, read_website, generate_report], + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + result = agent.kickoff(RESEARCH_TASK) + + # Verify result exists + assert result is not None + assert result.raw is not None + # The result should contain some report-like content + assert len(str(result.raw)) > 50 + + +# ============================================================================= +# Unit Tests with Mocked LLM Providers +# ============================================================================= + + +class TestStructuredPlanningWithMockedProviders: + """Unit tests with mocked LLM providers for faster execution.""" + + def _create_mock_plan_response(self, steps_data): + """Helper to create mock plan response.""" + return json.dumps({ + "plan": "Test plan", + "steps": steps_data, + "ready": True, + }) + + def test_openai_mock_structured_response(self): + """Test parsing OpenAI structured response.""" + steps_data = [ + {"step_number": 1, "description": "Search", "tool_to_use": "search", "depends_on": []}, + {"step_number": 2, "description": "Analyze", "tool_to_use": None, "depends_on": [1]}, + ] + + response = self._create_mock_plan_response(steps_data) + parsed = json.loads(response) + + assert len(parsed["steps"]) == 2 + assert parsed["steps"][0]["tool_to_use"] == "search" + assert parsed["steps"][1]["depends_on"] == [1] + + def test_anthropic_mock_structured_response(self): + """Test parsing Anthropic structured response (same format).""" + steps_data = [ + {"step_number": 1, "description": "Research", "tool_to_use": "web_search", "depends_on": []}, + {"step_number": 2, "description": "Summarize", "tool_to_use": None, "depends_on": [1]}, + {"step_number": 3, "description": "Report", "tool_to_use": "write_file", "depends_on": [1, 2]}, + ] + + response = self._create_mock_plan_response(steps_data) + parsed = json.loads(response) + + assert len(parsed["steps"]) == 3 + assert parsed["steps"][2]["depends_on"] == [1, 2] + + def test_gemini_mock_structured_response(self): + """Test parsing Gemini structured response (same format).""" + steps_data = [ + {"step_number": 1, "description": "Gather data", "tool_to_use": "data_tool", "depends_on": []}, + {"step_number": 2, "description": "Process", "tool_to_use": None, "depends_on": [1]}, + ] + + response = self._create_mock_plan_response(steps_data) + parsed = json.loads(response) + + assert len(parsed["steps"]) == 2 + assert parsed["ready"] is True + + def test_azure_mock_structured_response(self): + """Test parsing Azure OpenAI structured response (same format as OpenAI).""" + steps_data = [ + {"step_number": 1, "description": "Initialize", "tool_to_use": None, "depends_on": []}, + {"step_number": 2, "description": "Execute", "tool_to_use": "executor", "depends_on": [1]}, + {"step_number": 3, "description": "Finalize", "tool_to_use": None, "depends_on": [1, 2]}, + ] + + response = self._create_mock_plan_response(steps_data) + parsed = json.loads(response) + + assert len(parsed["steps"]) == 3 + assert parsed["steps"][0]["tool_to_use"] is None + + +class TestTodoListIntegration: + """Integration tests for TodoList with plan execution simulation.""" + + def test_full_plan_execution_workflow(self): + """Test complete workflow from plan to todos to execution.""" + # Simulate plan steps from LLM + plan_steps = [ + PlanStep( + step_number=1, + description="Research the topic", + tool_to_use="search_tool", + depends_on=[], + ), + PlanStep( + step_number=2, + description="Compile findings", + tool_to_use=None, + depends_on=[1], + ), + PlanStep( + step_number=3, + description="Generate summary", + tool_to_use="summarize_tool", + depends_on=[1, 2], + ), + ] + + # Convert to todos (like agent_executor._create_todos_from_plan) + todos = [ + TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + for step in plan_steps + ] + todo_list = TodoList(items=todos) + + # Verify initial state + assert todo_list.pending_count == 3 + assert todo_list.is_complete is False + + # Simulate execution + for i in range(1, 4): + todo_list.mark_running(i) + assert todo_list.current_todo.step_number == i + todo_list.mark_completed(i, result=f"Step {i} completed") + + # Verify final state + assert todo_list.is_complete is True + assert todo_list.completed_count == 3 + assert all(item.result is not None for item in todo_list.items) + + def test_dependency_aware_execution(self): + """Test that dependencies are respected in execution order.""" + steps = [ + PlanStep(step_number=1, description="Base step", depends_on=[]), + PlanStep(step_number=2, description="Depends on 1", depends_on=[1]), + PlanStep(step_number=3, description="Depends on 1", depends_on=[1]), + PlanStep(step_number=4, description="Depends on 2 and 3", depends_on=[2, 3]), + ] + + todos = [ + TodoItem( + step_number=s.step_number, + description=s.description, + depends_on=s.depends_on, + ) + for s in steps + ] + todo_list = TodoList(items=todos) + + # Helper to check if dependencies are satisfied + def can_execute(todo: TodoItem) -> bool: + for dep in todo.depends_on: + dep_todo = todo_list.get_by_step_number(dep) + if dep_todo and dep_todo.status != "completed": + return False + return True + + # Step 1 has no dependencies + assert can_execute(todo_list.items[0]) is True + + # Steps 2 and 3 depend on 1 (not yet done) + assert can_execute(todo_list.items[1]) is False + assert can_execute(todo_list.items[2]) is False + + # Complete step 1 + todo_list.mark_completed(1) + + # Now steps 2 and 3 can execute + assert can_execute(todo_list.items[1]) is True + assert can_execute(todo_list.items[2]) is True + + # Step 4 still can't (depends on 2 and 3) + assert can_execute(todo_list.items[3]) is False + + # Complete steps 2 and 3 + todo_list.mark_completed(2) + todo_list.mark_completed(3) + + # Now step 4 can execute + assert can_execute(todo_list.items[3]) is True From 4d21c6e4ad9164cf3b28a92ba0331a89768ad9b6 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Sun, 15 Mar 2026 23:30:29 -0400 Subject: [PATCH 13/15] feat(a2a): add plus api token auth * feat(a2a): add plus api token auth * feat(a2a): use stub for plus api * fix: use dynamic separator in slugify for dedup and strip * fix: remove unused _DUPLICATE_SEPARATOR_PATTERN, cache compiled regex in slugify --- lib/crewai/src/crewai/a2a/auth/__init__.py | 2 ++ .../src/crewai/a2a/auth/server_schemes.py | 24 ++++++++++++++-- lib/crewai/src/crewai/a2a/config.py | 4 +++ lib/crewai/src/crewai/a2a/errors.py | 13 +++++++++ .../src/crewai/utilities/string_utils.py | 28 +++++++++++++++++++ 5 files changed, 69 insertions(+), 2 deletions(-) diff --git a/lib/crewai/src/crewai/a2a/auth/__init__.py b/lib/crewai/src/crewai/a2a/auth/__init__.py index 093193a8e..cd7e67d72 100644 --- a/lib/crewai/src/crewai/a2a/auth/__init__.py +++ b/lib/crewai/src/crewai/a2a/auth/__init__.py @@ -13,6 +13,7 @@ from crewai.a2a.auth.client_schemes import ( ) from crewai.a2a.auth.server_schemes import ( AuthenticatedUser, + EnterpriseTokenAuth, OIDCAuth, ServerAuthScheme, SimpleTokenAuth, @@ -25,6 +26,7 @@ __all__ = [ "AuthenticatedUser", "BearerTokenAuth", "ClientAuthScheme", + "EnterpriseTokenAuth", "HTTPBasicAuth", "HTTPDigestAuth", "OAuth2AuthorizationCode", diff --git a/lib/crewai/src/crewai/a2a/auth/server_schemes.py b/lib/crewai/src/crewai/a2a/auth/server_schemes.py index 25ad597be..9e8e9f6d5 100644 --- a/lib/crewai/src/crewai/a2a/auth/server_schemes.py +++ b/lib/crewai/src/crewai/a2a/auth/server_schemes.py @@ -4,6 +4,7 @@ These schemes validate incoming requests to A2A server endpoints. Supported authentication methods: - Simple token validation with static bearer tokens +- Enterprise token validation (via PlusAPI) - OpenID Connect with JWT validation using JWKS - OAuth2 with JWT validation or token introspection """ @@ -16,6 +17,7 @@ import logging import os from typing import TYPE_CHECKING, Annotated, Any, ClassVar, Literal +import httpx import jwt from jwt import PyJWKClient from pydantic import ( @@ -33,6 +35,7 @@ from typing_extensions import Self if TYPE_CHECKING: from a2a.types import OAuth2SecurityScheme + from jwt.types import Options logger = logging.getLogger(__name__) @@ -183,6 +186,24 @@ class SimpleTokenAuth(ServerAuthScheme): ) +class EnterpriseTokenAuth(ServerAuthScheme): + """Enterprise token authentication. + + Validates tokens via the PlusAPI enterprise verification endpoint. + """ + + async def authenticate(self, token: str) -> AuthenticatedUser: + """Authenticate using enterprise token verification. + + Args: + token: The bearer token to authenticate. + + Raises: + NotImplementedError + """ + raise NotImplementedError + + class OIDCAuth(ServerAuthScheme): """OpenID Connect authentication. @@ -475,7 +496,7 @@ class OAuth2ServerAuth(ServerAuthScheme): try: signing_key = self._jwk_client.get_signing_key_from_jwt(token) - decode_options: dict[str, Any] = { + decode_options: Options = { "require": self.required_claims, } @@ -556,7 +577,6 @@ class OAuth2ServerAuth(ServerAuthScheme): async def _authenticate_introspection(self, token: str) -> AuthenticatedUser: """Authenticate using OAuth2 token introspection (RFC 7662).""" - import httpx if not self.introspection_url: raise HTTPException( diff --git a/lib/crewai/src/crewai/a2a/config.py b/lib/crewai/src/crewai/a2a/config.py index 1b9d63db4..499248046 100644 --- a/lib/crewai/src/crewai/a2a/config.py +++ b/lib/crewai/src/crewai/a2a/config.py @@ -633,6 +633,10 @@ class A2AServerConfig(BaseModel): default=False, description="Whether agent provides extended card to authenticated users", ) + extended_skills: list[AgentSkill] = Field( + default_factory=list, + description="Additional skills visible only to authenticated users in the extended card", + ) url: Url | None = Field( default=None, description="Preferred endpoint URL for the agent. Set at runtime if not provided.", diff --git a/lib/crewai/src/crewai/a2a/errors.py b/lib/crewai/src/crewai/a2a/errors.py index aabe10288..b55200708 100644 --- a/lib/crewai/src/crewai/a2a/errors.py +++ b/lib/crewai/src/crewai/a2a/errors.py @@ -63,6 +63,9 @@ class A2AErrorCode(IntEnum): INVALID_AGENT_RESPONSE = -32006 """The agent produced an invalid response.""" + AUTHENTICATED_EXTENDED_CARD_NOT_CONFIGURED = -32007 + """Authenticated extended card feature is not configured.""" + # CrewAI Custom Extensions (-32768 to -32100) UNSUPPORTED_VERSION = -32009 """The requested A2A protocol version is not supported.""" @@ -108,6 +111,7 @@ ERROR_MESSAGES: dict[int, str] = { A2AErrorCode.UNSUPPORTED_OPERATION: "This operation is not supported", A2AErrorCode.CONTENT_TYPE_NOT_SUPPORTED: "Incompatible content types", A2AErrorCode.INVALID_AGENT_RESPONSE: "Invalid agent response", + A2AErrorCode.AUTHENTICATED_EXTENDED_CARD_NOT_CONFIGURED: "Authenticated Extended Card is not configured", A2AErrorCode.UNSUPPORTED_VERSION: "Unsupported A2A version", A2AErrorCode.UNSUPPORTED_EXTENSION: "Client does not support required extensions", A2AErrorCode.AUTHENTICATION_REQUIRED: "Authentication required", @@ -284,6 +288,15 @@ class InvalidAgentResponseError(A2AError): code: int = field(default=A2AErrorCode.INVALID_AGENT_RESPONSE, init=False) +@dataclass +class AuthenticatedExtendedCardNotConfiguredError(A2AError): + """Authenticated extended card is not configured.""" + + code: int = field( + default=A2AErrorCode.AUTHENTICATED_EXTENDED_CARD_NOT_CONFIGURED, init=False + ) + + @dataclass class UnsupportedVersionError(A2AError): """The requested A2A version is not supported.""" diff --git a/lib/crewai/src/crewai/utilities/string_utils.py b/lib/crewai/src/crewai/utilities/string_utils.py index 98735b3ea..a817f1ffb 100644 --- a/lib/crewai/src/crewai/utilities/string_utils.py +++ b/lib/crewai/src/crewai/utilities/string_utils.py @@ -2,6 +2,7 @@ # https://github.com/un33k/python-slugify # MIT License +import functools import hashlib import re from typing import Any, Final @@ -17,6 +18,11 @@ _DUPLICATE_UNDERSCORE_PATTERN: Final[re.Pattern[str]] = re.compile(r"_+") _MAX_TOOL_NAME_LENGTH: Final[int] = 64 +@functools.lru_cache(maxsize=8) +def _duplicate_separator_pattern(separator: str) -> re.Pattern[str]: + return re.compile(f"(?:{re.escape(separator)}){{2,}}") + + def sanitize_tool_name(name: str, max_length: int = _MAX_TOOL_NAME_LENGTH) -> str: """Sanitize tool name for LLM provider compatibility. @@ -48,6 +54,28 @@ def sanitize_tool_name(name: str, max_length: int = _MAX_TOOL_NAME_LENGTH) -> st return name +def slugify(text: str, separator: str = "_") -> str: + """Convert text to a URL-safe slug. + + Normalizes Unicode characters, removes special characters, + and replaces whitespace with the separator. + + Args: + text: The text to slugify. + separator: The separator to use between words. Defaults to underscore. + + Returns: + A URL-safe slug. + """ + text = unicodedata.normalize("NFKD", text) + text = text.encode("ascii", "ignore").decode("ascii") + text = text.lower() + text = _QUOTE_PATTERN.sub("", text) + text = _DISALLOWED_CHARS_PATTERN.sub(separator, text) + text = _duplicate_separator_pattern(separator).sub(separator, text) + return text.strip(separator) + + def interpolate_only( input_string: str | None, inputs: dict[str, str | int | float | dict[str, Any] | list[Any]], From aca0817421e8a879813631b883de34cd52818254 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Sun, 15 Mar 2026 23:37:20 -0400 Subject: [PATCH 14/15] feat: bump versions to 1.11.0rc1 --- lib/crewai-files/src/crewai_files/__init__.py | 2 +- lib/crewai-tools/pyproject.toml | 2 +- lib/crewai-tools/src/crewai_tools/__init__.py | 2 +- lib/crewai/pyproject.toml | 2 +- lib/crewai/src/crewai/__init__.py | 2 +- lib/crewai/src/crewai/cli/templates/crew/pyproject.toml | 2 +- lib/crewai/src/crewai/cli/templates/flow/pyproject.toml | 2 +- lib/crewai/src/crewai/cli/templates/tool/pyproject.toml | 2 +- lib/devtools/src/crewai_devtools/__init__.py | 2 +- 9 files changed, 9 insertions(+), 9 deletions(-) diff --git a/lib/crewai-files/src/crewai_files/__init__.py b/lib/crewai-files/src/crewai_files/__init__.py index 7c3062e87..776f31271 100644 --- a/lib/crewai-files/src/crewai_files/__init__.py +++ b/lib/crewai-files/src/crewai_files/__init__.py @@ -152,4 +152,4 @@ __all__ = [ "wrap_file_source", ] -__version__ = "1.10.2rc2" +__version__ = "1.11.0rc1" diff --git a/lib/crewai-tools/pyproject.toml b/lib/crewai-tools/pyproject.toml index 7cc34a122..9301e4220 100644 --- a/lib/crewai-tools/pyproject.toml +++ b/lib/crewai-tools/pyproject.toml @@ -11,7 +11,7 @@ dependencies = [ "pytube~=15.0.0", "requests~=2.32.5", "docker~=7.1.0", - "crewai==1.10.2rc2", + "crewai==1.11.0rc1", "tiktoken~=0.8.0", "beautifulsoup4~=4.13.4", "python-docx~=1.2.0", diff --git a/lib/crewai-tools/src/crewai_tools/__init__.py b/lib/crewai-tools/src/crewai_tools/__init__.py index 4ccdf2c9d..f6dcc3420 100644 --- a/lib/crewai-tools/src/crewai_tools/__init__.py +++ b/lib/crewai-tools/src/crewai_tools/__init__.py @@ -309,4 +309,4 @@ __all__ = [ "ZapierActionTools", ] -__version__ = "1.10.2rc2" +__version__ = "1.11.0rc1" diff --git a/lib/crewai/pyproject.toml b/lib/crewai/pyproject.toml index fed3413ee..468bfce90 100644 --- a/lib/crewai/pyproject.toml +++ b/lib/crewai/pyproject.toml @@ -53,7 +53,7 @@ Repository = "https://github.com/crewAIInc/crewAI" [project.optional-dependencies] tools = [ - "crewai-tools==1.10.2rc2", + "crewai-tools==1.11.0rc1", ] embeddings = [ "tiktoken~=0.8.0" diff --git a/lib/crewai/src/crewai/__init__.py b/lib/crewai/src/crewai/__init__.py index 75c503a4e..99f86f6aa 100644 --- a/lib/crewai/src/crewai/__init__.py +++ b/lib/crewai/src/crewai/__init__.py @@ -42,7 +42,7 @@ def _suppress_pydantic_deprecation_warnings() -> None: _suppress_pydantic_deprecation_warnings() -__version__ = "1.10.2rc2" +__version__ = "1.11.0rc1" _telemetry_submitted = False diff --git a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml index b90c8d3be..0bf230c7e 100644 --- a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2rc2" + "crewai[tools]==1.11.0rc1" ] [project.scripts] diff --git a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml index 51e951d3f..eba61fe12 100644 --- a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2rc2" + "crewai[tools]==1.11.0rc1" ] [project.scripts] diff --git a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml index d1824986c..e319a1546 100644 --- a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml @@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}" readme = "README.md" requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.10.2rc2" + "crewai[tools]==1.11.0rc1" ] [tool.crewai] diff --git a/lib/devtools/src/crewai_devtools/__init__.py b/lib/devtools/src/crewai_devtools/__init__.py index 79a9cfefe..66ab82dea 100644 --- a/lib/devtools/src/crewai_devtools/__init__.py +++ b/lib/devtools/src/crewai_devtools/__init__.py @@ -1,3 +1,3 @@ """CrewAI development tools.""" -__version__ = "1.10.2rc2" +__version__ = "1.11.0rc1" From 9acb327d9fd5e24d04fc770273ad062ceef9a890 Mon Sep 17 00:00:00 2001 From: Rip&Tear <84775494+theCyberTech@users.noreply.github.com> Date: Mon, 16 Mar 2026 14:04:24 +0800 Subject: [PATCH 15/15] fix: replace os.system with subprocess.run in unsafe mode pip install * fix: replace os.system with subprocess.run in unsafe mode pip install Eliminates shell injection risk (A05) where a malicious library name like "pkg; rm -rf /" could execute arbitrary host commands. Using list-form subprocess.run with shell=False ensures the library name is always treated as a single argument with no shell metacharacter expansion. Adds two tests: one verifying list-form invocation, one verifying that shell metacharacters in a library name cannot trigger shell execution. Co-Authored-By: Claude Sonnet 4.6 * fix: use sys.executable -m pip to satisfy S607 linting rule S607 flags partial executable paths like ["pip", ...]. Using [sys.executable, "-m", "pip", ...] provides an absolute path and also ensures installation targets the correct Python environment. Co-Authored-By: Claude Sonnet 4.6 --------- Co-authored-by: Claude Sonnet 4.6 Co-authored-by: Greyson LaLonde --- .../code_interpreter_tool.py | 5 ++- .../tests/tools/test_code_interpreter_tool.py | 39 +++++++++++++++++++ 2 files changed, 42 insertions(+), 2 deletions(-) diff --git a/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/code_interpreter_tool.py b/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/code_interpreter_tool.py index 351f30d6b..977cc0fb4 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/code_interpreter_tool.py +++ b/lib/crewai-tools/src/crewai_tools/tools/code_interpreter_tool/code_interpreter_tool.py @@ -8,6 +8,7 @@ potentially unsafe operations and importing restricted modules. import importlib.util import os import subprocess +import sys from types import ModuleType from typing import Any, ClassVar, TypedDict @@ -321,7 +322,7 @@ class CodeInterpreterTool(BaseTool): """ if self._check_docker_available(): return self.run_code_in_docker(code, libraries_used) - + error_msg = ( "Docker is required for safe code execution but is not available. " "The restricted sandbox fallback has been removed due to security vulnerabilities " @@ -411,7 +412,7 @@ class CodeInterpreterTool(BaseTool): Printer.print("WARNING: Running code in unsafe mode", color="bold_magenta") # Install libraries on the host machine for library in libraries_used: - os.system(f"pip install {library}") # noqa: S605 + subprocess.run([sys.executable, "-m", "pip", "install", library], check=False) # noqa: S603 # Execute the code try: diff --git a/lib/crewai-tools/tests/tools/test_code_interpreter_tool.py b/lib/crewai-tools/tests/tools/test_code_interpreter_tool.py index ea54fb587..5b0144790 100644 --- a/lib/crewai-tools/tests/tools/test_code_interpreter_tool.py +++ b/lib/crewai-tools/tests/tools/test_code_interpreter_tool.py @@ -1,3 +1,4 @@ +import sys from unittest.mock import patch from crewai_tools.tools.code_interpreter_tool.code_interpreter_tool import ( @@ -152,6 +153,44 @@ x = 10 assert result == "No result variable found." +@patch("crewai_tools.tools.code_interpreter_tool.code_interpreter_tool.subprocess.run") +def test_unsafe_mode_installs_libraries_without_shell( + subprocess_run_mock, printer_mock, docker_unavailable_mock +): + """Test that library installation uses subprocess.run with shell=False, not os.system.""" + tool = CodeInterpreterTool(unsafe_mode=True) + code = "result = 1" + libraries_used = ["numpy", "pandas"] + + tool.run(code=code, libraries_used=libraries_used) + + assert subprocess_run_mock.call_count == 2 + for call, library in zip(subprocess_run_mock.call_args_list, libraries_used): + args, kwargs = call + # Must be list form (no shell expansion possible) + assert args[0] == [sys.executable, "-m", "pip", "install", library] + # shell= must not be True (defaults to False) + assert kwargs.get("shell", False) is False + + +@patch("crewai_tools.tools.code_interpreter_tool.code_interpreter_tool.subprocess.run") +def test_unsafe_mode_library_name_with_shell_metacharacters_does_not_invoke_shell( + subprocess_run_mock, printer_mock, docker_unavailable_mock +): + """Test that a malicious library name cannot inject shell commands.""" + tool = CodeInterpreterTool(unsafe_mode=True) + code = "result = 1" + malicious_library = "numpy; rm -rf /" + + tool.run(code=code, libraries_used=[malicious_library]) + + subprocess_run_mock.assert_called_once() + args, kwargs = subprocess_run_mock.call_args + # The entire malicious string is passed as a single argument — no shell parsing + assert args[0] == [sys.executable, "-m", "pip", "install", malicious_library] + assert kwargs.get("shell", False) is False + + def test_unsafe_mode_running_unsafe_code(printer_mock, docker_unavailable_mock): """Test behavior when no result variable is set.""" tool = CodeInterpreterTool(unsafe_mode=True)