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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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. 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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. 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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.\\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 + **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.\\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: @@ -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. 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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. 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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. 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. 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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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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. 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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. - 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. 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. **Democratizing AI: How - Open-Source Tools and Platforms are Empowering Startups and Innovators** \\n - \ 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. **Ethical - AI Agents: Balancing Innovation with Responsibility in a World of Intelligent - Machines** \\n 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. **The Future of Work: Collaborative - AI Agents as Co-Workers and Problem Solvers** \\n 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.\",\n - \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": - null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 1770,\n \"completion_tokens\": 626,\n \"total_tokens\": 2396,\n \"prompt_tokens_details\": - {\n \"cached_tokens\": 1152,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n + \ \"id\": \"call_HWnyWY4pNbRXkfO2eugJcQl1\",\n \"type\": + \"function\",\n \"function\": {\n \"name\": \"delegate_work_to_coworker\",\n + \ \"arguments\": \"{\\\"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.\\\",\\\"context\\\":\\\"We + have a list of 5 topics as potential ideas for articles. 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. 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. + The goal is to create content that showcases the essence and potential insights + of each 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: + - '3071' + 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-DIjvG0oF1480LyM2UnlsyPtbA40BT\",\n \"object\": + \"chat.completion\",\n \"created\": 1773358802,\n \"model\": \"gpt-4.1-mini-2025-04-14\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"1) The Rise of Autonomous AI Agents + in Everyday Applications \\nAutonomous AI agents are rapidly transforming + the way we interact with technology in our daily lives, quietly revolutionizing + everything from personal assistants that manage our schedules to smart home + systems that anticipate our needs. 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. Readers will be drawn to + this forward-looking narrative that reframes AI agents as essential collaborators + shaping the future of work.\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 575,\n \"completion_tokens\": + 622,\n \"total_tokens\": 1197,\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: + - 9db6a4417ce64b9f-EWR + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 12 Mar 2026 23:40:10 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: + - '8516' + 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 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.\"},{\"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.\"},{\"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. 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\\n \\n + \ \\\"Open\\n \\n

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

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\\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! 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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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