From b546982690995c189f19f99061ddb5af41a2ac11 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Sat, 15 Nov 2025 20:48:40 -0500 Subject: [PATCH 01/19] fix: ensure instrumentation flags --- docs/en/concepts/cli.mdx | 71 + lib/crewai/src/crewai/cli/cli.py | 201 ++ lib/crewai/src/crewai/cli/settings/main.py | 39 + lib/crewai/src/crewai/crew.py | 58 +- lib/crewai/src/crewai/events/event_bus.py | 7 +- .../tracing/first_time_trace_handler.py | 97 +- .../listeners/tracing/trace_batch_manager.py | 11 +- .../listeners/tracing/trace_listener.py | 38 +- .../crewai/events/listeners/tracing/utils.py | 184 +- .../crewai/events/utils/console_formatter.py | 56 +- lib/crewai/src/crewai/flow/flow.py | 72 +- lib/crewai/tests/agents/test_agent.py | 2 +- ...t_no_http_calls_when_disabled_via_env.yaml | 125 ++ ...calls_when_disabled_via_tracing_false.yaml | 125 ++ ...test_trace_calls_when_enabled_via_env.yaml | 823 ++++++++ ...e_calls_when_enabled_via_tracing_true.yaml | 817 ++++++++ ...t_time_user_trace_consolidation_logic.yaml | 66 +- ...t_agent_moved_on_after_max_iterations.yaml | 1799 +++++++---------- ...test_agent_with_only_crewai_knowledge.yaml | 210 +- lib/crewai/tests/cassettes/test_llm_call.yaml | 303 +-- .../test_save_task_pydantic_output.yaml | 109 +- lib/crewai/tests/test_task.py | 21 +- .../tracing/test_trace_enable_disable.py | 112 + lib/crewai/tests/tracing/test_tracing.py | 249 ++- 24 files changed, 4035 insertions(+), 1560 deletions(-) create mode 100644 lib/crewai/tests/cassettes/TestTraceEnableDisable.test_no_http_calls_when_disabled_via_env.yaml create mode 100644 lib/crewai/tests/cassettes/TestTraceEnableDisable.test_no_http_calls_when_disabled_via_tracing_false.yaml create mode 100644 lib/crewai/tests/cassettes/TestTraceEnableDisable.test_trace_calls_when_enabled_via_env.yaml create mode 100644 lib/crewai/tests/cassettes/TestTraceEnableDisable.test_trace_calls_when_enabled_via_tracing_true.yaml create mode 100644 lib/crewai/tests/tracing/test_trace_enable_disable.py diff --git a/docs/en/concepts/cli.mdx b/docs/en/concepts/cli.mdx index 0e50054bc..dfde91a30 100644 --- a/docs/en/concepts/cli.mdx +++ b/docs/en/concepts/cli.mdx @@ -402,6 +402,77 @@ crewai config reset After resetting configuration, re-run `crewai login` to authenticate again. +### 14. Trace Management + +Manage trace collection preferences for your Crew and Flow executions. + +```shell Terminal +crewai traces [COMMAND] +``` + +#### Commands: + +- `enable`: Enable trace collection for crew/flow executions +```shell Terminal +crewai traces enable +``` + +- `disable`: Disable trace collection for crew/flow executions +```shell Terminal +crewai traces disable +``` + +- `status`: Show current trace collection status +```shell Terminal +crewai traces status +``` + +#### How Tracing Works + +Trace collection is controlled by checking three settings in priority order: + +1. **Explicit flag in code** (highest priority - can enable OR disable): + ```python + crew = Crew(agents=[...], tasks=[...], tracing=True) # Always enable + crew = Crew(agents=[...], tasks=[...], tracing=False) # Always disable + crew = Crew(agents=[...], tasks=[...]) # Check lower priorities (default) + ``` + - `tracing=True` will **always enable** tracing (overrides everything) + - `tracing=False` will **always disable** tracing (overrides everything) + - `tracing=None` or omitted will check lower priority settings + +2. **Environment variable** (second priority): + ```env + CREWAI_TRACING_ENABLED=true + ``` + - Checked only if `tracing` is not explicitly set to `True` or `False` in code + - Set to `true` or `1` to enable tracing + +3. **User preference** (lowest priority): + ```shell Terminal + crewai traces enable + ``` + - Checked only if `tracing` is not set in code and `CREWAI_TRACING_ENABLED` is not set to `true` + - Running `crewai traces enable` is sufficient to enable tracing by itself + + +**To enable tracing**, use any one of these methods: +- Set `tracing=True` in your Crew/Flow code, OR +- Add `CREWAI_TRACING_ENABLED=true` to your `.env` file, OR +- Run `crewai traces enable` + +**To disable tracing**, use any ONE of these methods: +- Set `tracing=False` in your Crew/Flow code (overrides everything), OR +- Remove or set to `false` the `CREWAI_TRACING_ENABLED` env var, OR +- Run `crewai traces disable` + +Higher priority settings override lower ones. + + + +For more information about tracing, see the [Tracing documentation](/observability/tracing). + + CrewAI CLI handles authentication to the Tool Repository automatically when adding packages to your project. Just append `crewai` before any `uv` command to use it. E.g. `crewai uv add requests`. For more information, see [Tool Repository](https://docs.crewai.com/enterprise/features/tool-repository) docs. diff --git a/lib/crewai/src/crewai/cli/cli.py b/lib/crewai/src/crewai/cli/cli.py index 2e6f5eaa9..a8f9571cc 100644 --- a/lib/crewai/src/crewai/cli/cli.py +++ b/lib/crewai/src/crewai/cli/cli.py @@ -493,5 +493,206 @@ def config_reset(): config_command.reset_all_settings() +@crewai.group() +def env(): + """Environment variable commands.""" + + +@env.command("view") +def env_view(): + """View tracing-related environment variables.""" + import os + from pathlib import Path + + from rich.console import Console + from rich.panel import Panel + from rich.table import Table + + console = Console() + + # Check for .env file + env_file = Path(".env") + env_file_exists = env_file.exists() + + # Create table for environment variables + table = Table(show_header=True, header_style="bold cyan", expand=True) + table.add_column("Environment Variable", style="cyan", width=30) + table.add_column("Value", style="white", width=20) + table.add_column("Source", style="yellow", width=20) + + # Check CREWAI_TRACING_ENABLED + crewai_tracing = os.getenv("CREWAI_TRACING_ENABLED", "") + if crewai_tracing: + table.add_row( + "CREWAI_TRACING_ENABLED", + crewai_tracing, + "Environment/Shell", + ) + else: + table.add_row( + "CREWAI_TRACING_ENABLED", + "[dim]Not set[/dim]", + "[dim]—[/dim]", + ) + + # Check other related env vars + crewai_testing = os.getenv("CREWAI_TESTING", "") + if crewai_testing: + table.add_row("CREWAI_TESTING", crewai_testing, "Environment/Shell") + + crewai_user_id = os.getenv("CREWAI_USER_ID", "") + if crewai_user_id: + table.add_row("CREWAI_USER_ID", crewai_user_id, "Environment/Shell") + + crewai_org_id = os.getenv("CREWAI_ORG_ID", "") + if crewai_org_id: + table.add_row("CREWAI_ORG_ID", crewai_org_id, "Environment/Shell") + + # Check if .env file exists + table.add_row( + ".env file", + "✅ Found" if env_file_exists else "❌ Not found", + str(env_file.resolve()) if env_file_exists else "N/A", + ) + + panel = Panel( + table, + title="Tracing Environment Variables", + border_style="blue", + padding=(1, 2), + ) + console.print("\n") + console.print(panel) + + # Show helpful message + if env_file_exists: + console.print( + "\n[dim]💡 Tip: To enable tracing via .env, add: CREWAI_TRACING_ENABLED=true[/dim]" + ) + else: + console.print( + "\n[dim]💡 Tip: Create a .env file in your project root and add: CREWAI_TRACING_ENABLED=true[/dim]" + ) + console.print() + + +@crewai.group() +def traces(): + """Trace collection management commands.""" + + +@traces.command("enable") +def traces_enable(): + """Enable trace collection for crew/flow executions.""" + from rich.console import Console + from rich.panel import Panel + + from crewai.events.listeners.tracing.utils import ( + _load_user_data, + _save_user_data, + ) + + console = Console() + + # Update user data to enable traces + user_data = _load_user_data() + user_data["trace_consent"] = True + user_data["first_execution_done"] = True + _save_user_data(user_data) + + panel = Panel( + "✅ Trace collection has been enabled!\n\n" + "Your crew/flow executions will now send traces to CrewAI+.\n" + "Use 'crewai traces disable' to turn off trace collection.", + title="Traces Enabled", + border_style="green", + padding=(1, 2), + ) + console.print(panel) + + +@traces.command("disable") +def traces_disable(): + """Disable trace collection for crew/flow executions.""" + from rich.console import Console + from rich.panel import Panel + + from crewai.events.listeners.tracing.utils import ( + _load_user_data, + _save_user_data, + ) + + console = Console() + + # Update user data to disable traces + user_data = _load_user_data() + user_data["trace_consent"] = False + user_data["first_execution_done"] = True + _save_user_data(user_data) + + panel = Panel( + "❌ Trace collection has been disabled!\n\n" + "Your crew/flow executions will no longer send traces.\n" + "Use 'crewai traces enable' to turn trace collection back on.", + title="Traces Disabled", + border_style="red", + padding=(1, 2), + ) + console.print(panel) + + +@traces.command("status") +def traces_status(): + """Show current trace collection status.""" + import os + + from rich.console import Console + from rich.panel import Panel + from rich.table import Table + + from crewai.events.listeners.tracing.utils import ( + _load_user_data, + is_tracing_enabled, + ) + + console = Console() + user_data = _load_user_data() + + table = Table(show_header=False, box=None) + table.add_column("Setting", style="cyan") + table.add_column("Value", style="white") + + # Check environment variable + env_enabled = os.getenv("CREWAI_TRACING_ENABLED", "false") + table.add_row("CREWAI_TRACING_ENABLED", env_enabled) + + # Check user consent + trace_consent = user_data.get("trace_consent") + if trace_consent is True: + consent_status = "✅ Enabled (user consented)" + elif trace_consent is False: + consent_status = "❌ Disabled (user declined)" + else: + consent_status = "⚪ Not set (first-time user)" + table.add_row("User Consent", consent_status) + + # Check overall status + if is_tracing_enabled(): + overall_status = "✅ ENABLED" + border_style = "green" + else: + overall_status = "❌ DISABLED" + border_style = "red" + table.add_row("Overall Status", overall_status) + + panel = Panel( + table, + title="Trace Collection Status", + border_style=border_style, + padding=(1, 2), + ) + console.print(panel) + + if __name__ == "__main__": crewai() diff --git a/lib/crewai/src/crewai/cli/settings/main.py b/lib/crewai/src/crewai/cli/settings/main.py index 83a50c2fe..a2e520101 100644 --- a/lib/crewai/src/crewai/cli/settings/main.py +++ b/lib/crewai/src/crewai/cli/settings/main.py @@ -1,3 +1,5 @@ +from datetime import datetime +import os from typing import Any from rich.console import Console @@ -5,6 +7,7 @@ from rich.table import Table from crewai.cli.command import BaseCommand from crewai.cli.config import HIDDEN_SETTINGS_KEYS, READONLY_SETTINGS_KEYS, Settings +from crewai.events.listeners.tracing.utils import _load_user_data console = Console() @@ -39,6 +42,42 @@ class SettingsCommand(BaseCommand): table.add_row(field_name, display_value, description) + # Add trace-related settings from user data + user_data = _load_user_data() + + # CREWAI_TRACING_ENABLED environment variable + env_tracing = os.getenv("CREWAI_TRACING_ENABLED", "") + env_tracing_display = env_tracing if env_tracing else "Not set" + table.add_row( + "CREWAI_TRACING_ENABLED", + env_tracing_display, + "Environment variable to enable/disable tracing", + ) + + # Trace consent status + trace_consent = user_data.get("trace_consent") + if trace_consent is True: + consent_display = "✅ Enabled" + elif trace_consent is False: + consent_display = "❌ Disabled" + else: + consent_display = "Not set" + table.add_row( + "trace_consent", consent_display, "Whether trace collection is enabled" + ) + + # First execution timestamp + if user_data.get("first_execution_at"): + timestamp = datetime.fromtimestamp(user_data["first_execution_at"]) + first_exec_display = timestamp.strftime("%Y-%m-%d %H:%M:%S") + else: + first_exec_display = "Not set" + table.add_row( + "first_execution_at", + first_exec_display, + "Timestamp of first crew/flow execution", + ) + console.print(table) def set(self, key: str, value: str) -> None: diff --git a/lib/crewai/src/crewai/crew.py b/lib/crewai/src/crewai/crew.py index cadd9d3b1..00bed8f01 100644 --- a/lib/crewai/src/crewai/crew.py +++ b/lib/crewai/src/crewai/crew.py @@ -27,6 +27,8 @@ from pydantic import ( model_validator, ) from pydantic_core import PydanticCustomError +from rich.console import Console +from rich.panel import Panel from typing_extensions import Self from crewai.agent import Agent @@ -39,8 +41,8 @@ from crewai.events.listeners.tracing.trace_listener import ( TraceCollectionListener, ) from crewai.events.listeners.tracing.utils import ( - is_tracing_enabled, - should_auto_collect_first_time_traces, + set_tracing_enabled, + should_enable_tracing, ) from crewai.events.types.crew_events import ( CrewKickoffCompletedEvent, @@ -280,8 +282,8 @@ class Crew(FlowTrackable, BaseModel): description="Metrics for the LLM usage during all tasks execution.", ) tracing: bool | None = Field( - default=False, - description="Whether to enable tracing for the crew.", + default=None, + description="Whether to enable tracing for the crew. True=always enable, False=always disable, None=check environment/user settings.", ) @field_validator("id", mode="before") @@ -311,17 +313,16 @@ class Crew(FlowTrackable, BaseModel): @model_validator(mode="after") def set_private_attrs(self) -> Crew: """set private attributes.""" - self._cache_handler = CacheHandler() event_listener = EventListener() # type: ignore[no-untyped-call] - if ( - is_tracing_enabled() - or self.tracing - or should_auto_collect_first_time_traces() - ): - trace_listener = TraceCollectionListener() - trace_listener.setup_listeners(crewai_event_bus) + # Determine and set tracing state once for this execution + tracing_enabled = should_enable_tracing(override=self.tracing) + set_tracing_enabled(tracing_enabled) + + # Always setup trace listener - actual execution control is via contextvar + trace_listener = TraceCollectionListener() + trace_listener.setup_listeners(crewai_event_bus) event_listener.verbose = self.verbose event_listener.formatter.verbose = self.verbose self._logger = Logger(verbose=self.verbose) @@ -1171,6 +1172,10 @@ class Crew(FlowTrackable, BaseModel): total_tokens=self.token_usage.total_tokens, ), ) + + # Finalization is handled by trace listener (always initialized) + # The batch manager checks contextvar to determine if tracing is enabled + return CrewOutput( raw=final_task_output.raw, pydantic=final_task_output.pydantic, @@ -1651,3 +1656,32 @@ class Crew(FlowTrackable, BaseModel): and able_to_inject ): self.tasks[0].allow_crewai_trigger_context = True + + def _show_tracing_disabled_message(self) -> None: + """Show a message when tracing is disabled.""" + from crewai.events.listeners.tracing.utils import has_user_declined_tracing + + console = Console() + + if has_user_declined_tracing(): + message = """Info: Tracing is disabled. + +To enable tracing, do any one of these: +• Set tracing=True in your Crew code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable""" + else: + message = """Info: Tracing is disabled. + +To enable tracing, do any one of these: +• Set tracing=True in your Crew code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable""" + + panel = Panel( + message, + title="Tracing Status", + border_style="blue", + padding=(1, 2), + ) + console.print(panel) diff --git a/lib/crewai/src/crewai/events/event_bus.py b/lib/crewai/src/crewai/events/event_bus.py index e7d6e279e..9fabace08 100644 --- a/lib/crewai/src/crewai/events/event_bus.py +++ b/lib/crewai/src/crewai/events/event_bus.py @@ -10,6 +10,7 @@ import atexit from collections.abc import Callable, Generator from concurrent.futures import Future, ThreadPoolExecutor from contextlib import contextmanager +import contextvars import threading from typing import Any, Final, ParamSpec, TypeVar @@ -288,8 +289,9 @@ class CrewAIEventsBus: if event_type is LLMStreamChunkEvent: self._call_handlers(source, event, level_sync) else: + ctx = contextvars.copy_context() future = self._sync_executor.submit( - self._call_handlers, source, event, level_sync + ctx.run, self._call_handlers, source, event, level_sync ) await asyncio.get_running_loop().run_in_executor( None, future.result @@ -346,8 +348,9 @@ class CrewAIEventsBus: if event_type is LLMStreamChunkEvent: self._call_handlers(source, event, sync_handlers) else: + ctx = contextvars.copy_context() sync_future = self._sync_executor.submit( - self._call_handlers, source, event, sync_handlers + ctx.run, self._call_handlers, source, event, sync_handlers ) if not async_handlers: return sync_future diff --git a/lib/crewai/src/crewai/events/listeners/tracing/first_time_trace_handler.py b/lib/crewai/src/crewai/events/listeners/tracing/first_time_trace_handler.py index 3d4a70dba..9b8e0d437 100644 --- a/lib/crewai/src/crewai/events/listeners/tracing/first_time_trace_handler.py +++ b/lib/crewai/src/crewai/events/listeners/tracing/first_time_trace_handler.py @@ -1,5 +1,4 @@ import logging -from pathlib import Path import uuid import webbrowser @@ -17,47 +16,6 @@ from crewai.events.listeners.tracing.utils import ( logger = logging.getLogger(__name__) -def _update_or_create_env_file(): - """Update or create .env file with CREWAI_TRACING_ENABLED=true.""" - env_path = Path(".env") - env_content = "" - variable_name = "CREWAI_TRACING_ENABLED" - variable_value = "true" - - # Read existing content if file exists - if env_path.exists(): - with open(env_path, "r") as f: - env_content = f.read() - - # Check if CREWAI_TRACING_ENABLED is already set - lines = env_content.splitlines() - variable_exists = False - updated_lines = [] - - for line in lines: - if line.strip().startswith(f"{variable_name}="): - # Update existing variable - updated_lines.append(f"{variable_name}={variable_value}") - variable_exists = True - else: - updated_lines.append(line) - - # Add variable if it doesn't exist - if not variable_exists: - if updated_lines and not updated_lines[-1].strip(): - # If last line is empty, replace it - updated_lines[-1] = f"{variable_name}={variable_value}" - else: - # Add new line and then the variable - updated_lines.append(f"{variable_name}={variable_value}") - - # Write updated content - with open(env_path, "w") as f: - f.write("\n".join(updated_lines)) - if updated_lines: # Add final newline if there's content - f.write("\n") - - class FirstTimeTraceHandler: """Handles the first-time user trace collection and display flow.""" @@ -96,20 +54,16 @@ class FirstTimeTraceHandler: if user_wants_traces: self._initialize_backend_and_send_events() - # Enable tracing for future runs by updating .env file - try: - _update_or_create_env_file() - except Exception: # noqa: S110 - pass - if self.ephemeral_url: self._display_ephemeral_trace_link() + else: + self._show_tracing_declined_message() - mark_first_execution_completed() + mark_first_execution_completed(user_consented=user_wants_traces) except Exception as e: self._gracefully_fail(f"Error in trace handling: {e}") - mark_first_execution_completed() + mark_first_execution_completed(user_consented=False) def _initialize_backend_and_send_events(self): """Initialize backend batch and send collected events.""" @@ -182,8 +136,13 @@ This trace shows: • Tool usage and results • LLM calls and responses -✅ Tracing has been enabled for future runs! (CREWAI_TRACING_ENABLED=true added to .env) -You can also add tracing=True to your Crew(tracing=True) / Flow(tracing=True) for more control. +✅ Tracing has been enabled for future runs! +Your preference has been saved. Future Crew/Flow executions will automatically collect traces. + +To disable tracing later, do any one of these: +• Set tracing=False in your Crew/Flow code +• Set CREWAI_TRACING_ENABLED=false in your project's .env file +• Run: crewai traces disable 📝 Note: This link will expire in 24 hours. """.strip() @@ -199,6 +158,32 @@ You can also add tracing=True to your Crew(tracing=True) / Flow(tracing=True) fo console.print(panel) console.print() + def _show_tracing_declined_message(self): + """Show message when user declines tracing.""" + console = Console() + + panel_content = """ +Info: Tracing has been disabled. + +Your preference has been saved. Future Crew/Flow executions will not collect traces. + +To enable tracing later, do any one of these: +• Set tracing=True in your Crew/Flow code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable + """.strip() + + panel = Panel( + panel_content, + title="Tracing Preference Saved", + border_style="blue", + padding=(1, 2), + ) + + console.print("\n") + console.print(panel) + console.print() + def _gracefully_fail(self, error_message: str): """Handle errors gracefully without disrupting user experience.""" console = Console() @@ -218,8 +203,14 @@ Unfortunately, we couldn't upload them to the server right now, but here's what • Execution duration: {self.batch_manager.calculate_duration("execution")}ms • Batch ID: {self.batch_manager.trace_batch_id} -Tracing has been enabled for future runs! (CREWAI_TRACING_ENABLED=true added to .env) +✅ Tracing has been enabled for future runs! +Your preference has been saved. Future Crew/Flow executions will automatically collect traces. The traces include agent decisions, task execution, and tool usage. + +To disable tracing later, do any one of these: +• Set tracing=False in your Crew/Flow code +• Set CREWAI_TRACING_ENABLED=false in your project's .env file +• Run: crewai traces disable """.strip() panel = Panel( diff --git a/lib/crewai/src/crewai/events/listeners/tracing/trace_batch_manager.py b/lib/crewai/src/crewai/events/listeners/tracing/trace_batch_manager.py index 3571e45ab..bffa0d032 100644 --- a/lib/crewai/src/crewai/events/listeners/tracing/trace_batch_manager.py +++ b/lib/crewai/src/crewai/events/listeners/tracing/trace_batch_manager.py @@ -12,7 +12,10 @@ from crewai.cli.authentication.token import AuthError, get_auth_token from crewai.cli.plus_api import PlusAPI from crewai.cli.version import get_crewai_version from crewai.events.listeners.tracing.types import TraceEvent -from crewai.events.listeners.tracing.utils import should_auto_collect_first_time_traces +from crewai.events.listeners.tracing.utils import ( + is_tracing_enabled_in_context, + should_auto_collect_first_time_traces, +) from crewai.utilities.constants import CREWAI_BASE_URL @@ -107,6 +110,9 @@ class TraceBatchManager: ): """Send batch initialization to backend""" + if not is_tracing_enabled_in_context(): + return + if not self.plus_api or not self.current_batch: return @@ -243,7 +249,8 @@ class TraceBatchManager: def finalize_batch(self) -> TraceBatch | None: """Finalize batch and return it for sending""" - if not self.current_batch: + + if not self.current_batch or not is_tracing_enabled_in_context(): return None all_handlers_completed = self.wait_for_pending_events() diff --git a/lib/crewai/src/crewai/events/listeners/tracing/trace_listener.py b/lib/crewai/src/crewai/events/listeners/tracing/trace_listener.py index 462671141..f8cc43572 100644 --- a/lib/crewai/src/crewai/events/listeners/tracing/trace_listener.py +++ b/lib/crewai/src/crewai/events/listeners/tracing/trace_listener.py @@ -10,13 +10,14 @@ from crewai.cli.authentication.token import AuthError, get_auth_token from crewai.cli.version import get_crewai_version from crewai.events.base_event_listener import BaseEventListener from crewai.events.event_bus import CrewAIEventsBus -from crewai.events.utils.console_formatter import ConsoleFormatter from crewai.events.listeners.tracing.first_time_trace_handler import ( FirstTimeTraceHandler, ) from crewai.events.listeners.tracing.trace_batch_manager import TraceBatchManager from crewai.events.listeners.tracing.types import TraceEvent -from crewai.events.listeners.tracing.utils import safe_serialize_to_dict +from crewai.events.listeners.tracing.utils import ( + safe_serialize_to_dict, +) from crewai.events.types.agent_events import ( AgentExecutionCompletedEvent, AgentExecutionErrorEvent, @@ -80,6 +81,7 @@ from crewai.events.types.tool_usage_events import ( ToolUsageFinishedEvent, ToolUsageStartedEvent, ) +from crewai.events.utils.console_formatter import ConsoleFormatter class TraceCollectionListener(BaseEventListener): @@ -627,3 +629,35 @@ class TraceCollectionListener(BaseEventListener): "event": safe_serialize_to_dict(event), "source": source, } + + def _show_tracing_disabled_message(self) -> None: + """Show a message when tracing is disabled.""" + from rich.console import Console + from rich.panel import Panel + + from crewai.events.listeners.tracing.utils import has_user_declined_tracing + + console = Console() + + if has_user_declined_tracing(): + message = """Info: Tracing is disabled. + +To enable tracing, do any one of these: +• Set tracing=True in your Crew/Flow code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable""" + else: + message = """Info: Tracing is disabled. + +To enable tracing, do any one of these: +• Set tracing=True in your Crew/Flow code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable""" + + panel = Panel( + message, + title="Tracing Status", + border_style="blue", + padding=(1, 2), + ) + console.print(panel) diff --git a/lib/crewai/src/crewai/events/listeners/tracing/utils.py b/lib/crewai/src/crewai/events/listeners/tracing/utils.py index 9c5a30a05..13e26dacb 100644 --- a/lib/crewai/src/crewai/events/listeners/tracing/utils.py +++ b/lib/crewai/src/crewai/events/listeners/tracing/utils.py @@ -1,3 +1,4 @@ +from contextvars import ContextVar, Token from datetime import datetime import getpass import hashlib @@ -8,7 +9,7 @@ from pathlib import Path import platform import re import subprocess -from typing import Any +from typing import Any, cast import uuid import click @@ -23,7 +24,120 @@ from crewai.utilities.serialization import to_serializable logger = logging.getLogger(__name__) +_tracing_enabled: ContextVar[bool | None] = ContextVar("_tracing_enabled", default=None) + + +def should_enable_tracing(*, override: bool | None = None) -> bool: + """Determine if tracing should be enabled. + + This is the single source of truth for tracing enablement. + Priority order: + 1. Explicit override (e.g., Crew.tracing=True/False) + 2. Environment variable CREWAI_TRACING_ENABLED + 3. User consent from user_data + + Args: + override: Explicit override for tracing (True=always enable, False=always disable, None=check other settings) + + Returns: + True if tracing should be enabled, False otherwise. + """ + if override is True: + return True + if override is False: + return False + + env_value = os.getenv("CREWAI_TRACING_ENABLED", "").lower() + if env_value in ("true", "1"): + return True + + data = _load_user_data() + + if data.get("trace_consent", False) is not False: + return True + + return False + + +def set_tracing_enabled(enabled: bool) -> object: + """Set tracing enabled state for current execution context. + + Args: + enabled: Whether tracing should be enabled + + Returns: + A token that can be used with reset_tracing_enabled to restore previous value. + """ + return _tracing_enabled.set(enabled) + + +def reset_tracing_enabled(token: Token[bool | None]) -> None: + """Reset tracing enabled state to previous value. + + Args: + token: Token returned from set_tracing_enabled + """ + _tracing_enabled.reset(token) + + +def is_tracing_enabled_in_context() -> bool: + """Check if tracing is enabled in current execution context. + + Returns: + True if tracing is enabled in context, False otherwise. + Returns False if context has not been set. + """ + enabled = _tracing_enabled.get() + return enabled if enabled is not None else False + + +def _user_data_file() -> Path: + base = Path(db_storage_path()) + base.mkdir(parents=True, exist_ok=True) + return base / ".crewai_user.json" + + +def _load_user_data() -> dict[str, Any]: + p = _user_data_file() + if p.exists(): + try: + return cast(dict[str, Any], json.loads(p.read_text())) + except (json.JSONDecodeError, OSError, PermissionError) as e: + logger.warning(f"Failed to load user data: {e}") + return {} + + +def _save_user_data(data: dict[str, Any]) -> None: + try: + p = _user_data_file() + p.write_text(json.dumps(data, indent=2)) + except (OSError, PermissionError) as e: + logger.warning(f"Failed to save user data: {e}") + + +def has_user_declined_tracing() -> bool: + """Check if user has explicitly declined trace collection. + + Returns: + True if user previously declined tracing, False otherwise. + """ + data = _load_user_data() + if data.get("first_execution_done", False): + return data.get("trace_consent", False) is False + return False + + def is_tracing_enabled() -> bool: + """Check if tracing should be enabled. + + + Returns: + True if tracing is enabled and not disabled, False otherwise. + """ + # If user has explicitly declined tracing, never enable it + if has_user_declined_tracing(): + return False + return os.getenv("CREWAI_TRACING_ENABLED", "false").lower() == "true" @@ -213,36 +327,12 @@ def _get_generic_system_id() -> str | None: return None -def _user_data_file() -> Path: - base = Path(db_storage_path()) - base.mkdir(parents=True, exist_ok=True) - return base / ".crewai_user.json" - - -def _load_user_data() -> dict: - p = _user_data_file() - if p.exists(): - try: - return json.loads(p.read_text()) - except (json.JSONDecodeError, OSError, PermissionError) as e: - logger.warning(f"Failed to load user data: {e}") - return {} - - -def _save_user_data(data: dict) -> None: - try: - p = _user_data_file() - p.write_text(json.dumps(data, indent=2)) - except (OSError, PermissionError) as e: - logger.warning(f"Failed to save user data: {e}") - - def get_user_id() -> str: """Stable, anonymized user identifier with caching.""" data = _load_user_data() if "user_id" in data: - return data["user_id"] + return cast(str, data["user_id"]) try: username = getpass.getuser() @@ -263,8 +353,12 @@ def is_first_execution() -> bool: return not data.get("first_execution_done", False) -def mark_first_execution_done() -> None: - """Mark that the first execution has been completed.""" +def mark_first_execution_done(user_consented: bool = False) -> None: + """Mark that the first execution has been completed. + + Args: + user_consented: Whether the user consented to trace collection. + """ data = _load_user_data() if data.get("first_execution_done", False): return @@ -275,12 +369,13 @@ def mark_first_execution_done() -> None: "first_execution_at": datetime.now().timestamp(), "user_id": get_user_id(), "machine_id": _get_machine_id(), + "trace_consent": user_consented, } ) _save_user_data(data) -def safe_serialize_to_dict(obj, exclude: set[str] | None = None) -> dict[str, Any]: +def safe_serialize_to_dict(obj: Any, exclude: set[str] | None = None) -> dict[str, Any]: """Safely serialize an object to a dictionary for event data.""" try: serialized = to_serializable(obj, exclude) @@ -291,7 +386,9 @@ def safe_serialize_to_dict(obj, exclude: set[str] | None = None) -> dict[str, An return {"serialization_error": str(e), "object_type": type(obj).__name__} -def truncate_messages(messages, max_content_length=500, max_messages=5): +def truncate_messages( + messages: list[dict[str, Any]], max_content_length: int = 500, max_messages: int = 5 +) -> list[dict[str, Any]]: """Truncate message content and limit number of messages""" if not messages or not isinstance(messages, list): return messages @@ -308,9 +405,22 @@ def truncate_messages(messages, max_content_length=500, max_messages=5): def should_auto_collect_first_time_traces() -> bool: - """True if we should auto-collect traces for first-time user.""" + """True if we should auto-collect traces for first-time user. + + + Returns: + True if first-time user AND telemetry not disabled AND tracing not explicitly enabled, False otherwise. + """ if _is_test_environment(): return False + + # If user has previously declined, never auto-collect + if has_user_declined_tracing(): + return False + + if is_tracing_enabled_in_context(): + return False + return is_first_execution() @@ -355,7 +465,7 @@ def prompt_user_for_trace_viewing(timeout_seconds: int = 20) -> bool: result = [False] - def get_input(): + def get_input() -> None: try: response = input().strip().lower() result[0] = response in ["y", "yes"] @@ -377,6 +487,10 @@ def prompt_user_for_trace_viewing(timeout_seconds: int = 20) -> bool: return False -def mark_first_execution_completed() -> None: - """Mark first execution as completed (called after trace prompt).""" - mark_first_execution_done() +def mark_first_execution_completed(user_consented: bool = False) -> None: + """Mark first execution as completed (called after trace prompt). + + Args: + user_consented: Whether the user consented to trace collection. + """ + mark_first_execution_done(user_consented=user_consented) diff --git a/lib/crewai/src/crewai/events/utils/console_formatter.py b/lib/crewai/src/crewai/events/utils/console_formatter.py index 32aa8d208..b610207dc 100644 --- a/lib/crewai/src/crewai/events/utils/console_formatter.py +++ b/lib/crewai/src/crewai/events/utils/console_formatter.py @@ -1,3 +1,4 @@ +import threading from typing import Any, ClassVar from rich.console import Console @@ -27,6 +28,7 @@ class ConsoleFormatter: _pending_a2a_turn_number: int | None = None _a2a_turn_branches: ClassVar[dict[int, Tree]] = {} _current_a2a_agent_name: str | None = None + crew_completion_printed: ClassVar[threading.Event] = threading.Event() def __init__(self, verbose: bool = False): self.console = Console(width=None) @@ -47,13 +49,44 @@ class ConsoleFormatter: padding=(1, 2), ) + def _show_tracing_disabled_message_if_needed(self) -> None: + """Show tracing disabled message if tracing is not enabled.""" + from crewai.events.listeners.tracing.utils import ( + has_user_declined_tracing, + is_tracing_enabled_in_context, + ) + + if not is_tracing_enabled_in_context(): + if has_user_declined_tracing(): + message = """Info: Tracing is disabled. + +To enable tracing, do any one of these: +• Set tracing=True in your Crew/Flow code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable""" + else: + message = """Info: Tracing is disabled. + +To enable tracing, do any one of these: +• Set tracing=True in your Crew/Flow code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable""" + + panel = Panel( + message, + title="Tracing Status", + border_style="blue", + padding=(1, 2), + ) + self.console.print(panel) + def create_status_content( self, title: str, name: str, status_style: str = "blue", tool_args: dict[str, Any] | str = "", - **fields, + **fields: Any, ) -> Text: """Create standardized status content with consistent formatting.""" content = Text() @@ -92,7 +125,7 @@ class ConsoleFormatter: """Add a node to the tree with consistent styling.""" return parent.add(Text(text, style=style)) - def print(self, *args, **kwargs) -> None: + def print(self, *args: Any, **kwargs: Any) -> None: """Custom print that replaces consecutive Tree renders. * If the argument is a single ``Tree`` instance, we either start a @@ -208,11 +241,20 @@ class ConsoleFormatter: self.print_panel(content, title, style) + if status in ["completed", "failed"]: + self.crew_completion_printed.set() + + # Show tracing disabled message after crew completion + self._show_tracing_disabled_message_if_needed() + def create_crew_tree(self, crew_name: str, source_id: str) -> Tree | None: """Create and initialize a new crew tree with initial status.""" if not self.verbose: return None + # Reset the crew completion event for this new crew execution + ConsoleFormatter.crew_completion_printed.clear() + tree = Tree( Text("🚀 Crew: ", style="cyan bold") + Text(crew_name, style="cyan") ) @@ -497,7 +539,7 @@ class ConsoleFormatter: return method_branch - def get_llm_tree(self, tool_name: str): + def get_llm_tree(self, tool_name: str) -> Tree: text = Text() text.append(f"🔧 Using {tool_name} from LLM available_function", style="yellow") @@ -512,7 +554,7 @@ class ConsoleFormatter: self, tool_name: str, tool_args: dict[str, Any] | str, - ): + ) -> None: # Create status content for the tool usage content = self.create_status_content( "Tool Usage Started", tool_name, Status="In Progress", tool_args=tool_args @@ -528,7 +570,7 @@ class ConsoleFormatter: def handle_llm_tool_usage_finished( self, tool_name: str, - ): + ) -> None: tree = self.get_llm_tree(tool_name) self.add_tree_node(tree, "✅ Tool Usage Completed", "green") self.print(tree) @@ -538,7 +580,7 @@ class ConsoleFormatter: self, tool_name: str, error: str, - ): + ) -> None: tree = self.get_llm_tree(tool_name) self.add_tree_node(tree, "❌ Tool Usage Failed", "red") self.print(tree) @@ -1558,7 +1600,7 @@ class ConsoleFormatter: if branch_to_use is None and tree_to_use is not None: branch_to_use = tree_to_use - def add_panel(): + def add_panel() -> None: memory_text = str(memory_content) if len(memory_text) > 500: memory_text = memory_text[:497] + "..." diff --git a/lib/crewai/src/crewai/flow/flow.py b/lib/crewai/src/crewai/flow/flow.py index 42b36eb1f..9b9a5a930 100644 --- a/lib/crewai/src/crewai/flow/flow.py +++ b/lib/crewai/src/crewai/flow/flow.py @@ -26,14 +26,17 @@ from uuid import uuid4 from opentelemetry import baggage from opentelemetry.context import attach, detach from pydantic import BaseModel, Field, ValidationError +from rich.console import Console +from rich.panel import Panel from crewai.events.event_bus import crewai_event_bus from crewai.events.listeners.tracing.trace_listener import ( TraceCollectionListener, ) from crewai.events.listeners.tracing.utils import ( - is_tracing_enabled, - should_auto_collect_first_time_traces, + has_user_declined_tracing, + set_tracing_enabled, + should_enable_tracing, ) from crewai.events.types.flow_events import ( FlowCreatedEvent, @@ -452,7 +455,7 @@ class Flow(Generic[T], metaclass=FlowMeta): _router_paths: ClassVar[dict[FlowMethodName, list[FlowMethodName]]] = {} initial_state: type[T] | T | None = None name: str | None = None - tracing: bool | None = False + tracing: bool | None = None def __class_getitem__(cls: type[Flow[T]], item: type[T]) -> type[Flow[T]]: class _FlowGeneric(cls): # type: ignore @@ -464,13 +467,14 @@ class Flow(Generic[T], metaclass=FlowMeta): def __init__( self, persistence: FlowPersistence | None = None, - tracing: bool | None = False, + tracing: bool | None = None, **kwargs: Any, ) -> None: """Initialize a new Flow instance. Args: persistence: Optional persistence backend for storing flow states + tracing: Whether to enable tracing. True=always enable, False=always disable, None=check environment/user settings **kwargs: Additional state values to initialize or override """ # Initialize basic instance attributes @@ -488,13 +492,11 @@ class Flow(Generic[T], metaclass=FlowMeta): # Initialize state with initial values self._state = self._create_initial_state() self.tracing = tracing - if ( - is_tracing_enabled() - or self.tracing - or should_auto_collect_first_time_traces() - ): - trace_listener = TraceCollectionListener() - trace_listener.setup_listeners(crewai_event_bus) + tracing_enabled = should_enable_tracing(override=self.tracing) + set_tracing_enabled(tracing_enabled) + + trace_listener = TraceCollectionListener() + trace_listener.setup_listeners(crewai_event_bus) # Apply any additional kwargs if kwargs: self._initialize_state(kwargs) @@ -936,18 +938,13 @@ class Flow(Generic[T], metaclass=FlowMeta): ) self._event_futures.clear() - if ( - is_tracing_enabled() - or self.tracing - or should_auto_collect_first_time_traces() - ): - trace_listener = TraceCollectionListener() - if trace_listener.batch_manager.batch_owner_type == "flow": - if trace_listener.first_time_handler.is_first_time: - trace_listener.first_time_handler.mark_events_collected() - trace_listener.first_time_handler.handle_execution_completion() - else: - trace_listener.batch_manager.finalize_batch() + trace_listener = TraceCollectionListener() + if trace_listener.batch_manager.batch_owner_type == "flow": + if trace_listener.first_time_handler.is_first_time: + trace_listener.first_time_handler.mark_events_collected() + trace_listener.first_time_handler.handle_execution_completion() + else: + trace_listener.batch_manager.finalize_batch() return final_output finally: @@ -1381,3 +1378,32 @@ class Flow(Generic[T], metaclass=FlowMeta): ) structure = build_flow_structure(self) return render_interactive(structure, filename=filename, show=show) + + @staticmethod + def _show_tracing_disabled_message() -> None: + """Show a message when tracing is disabled.""" + + console = Console() + + if has_user_declined_tracing(): + message = """Info: Tracing is disabled. + +To enable tracing, do any one of these: +• Set tracing=True in your Flow code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable""" + else: + message = """Info: Tracing is disabled. + +To enable tracing, do any one of these: +• Set tracing=True in your Flow code +• Set CREWAI_TRACING_ENABLED=true in your project's .env file +• Run: crewai traces enable""" + + panel = Panel( + message, + title="Tracing Status", + border_style="blue", + padding=(1, 2), + ) + console.print(panel) diff --git a/lib/crewai/tests/agents/test_agent.py b/lib/crewai/tests/agents/test_agent.py index 4fd1f3b5b..5bc9f3421 100644 --- a/lib/crewai/tests/agents/test_agent.py +++ b/lib/crewai/tests/agents/test_agent.py @@ -2148,7 +2148,7 @@ def test_agent_with_knowledge_with_no_crewai_knowledge(): mock_knowledge.query.assert_called_once() -@pytest.mark.vcr(record_mode="none", filter_headers=["authorization"]) +@pytest.mark.vcr(filter_headers=["authorization"]) def test_agent_with_only_crewai_knowledge(): mock_knowledge = MagicMock(spec=Knowledge) diff --git a/lib/crewai/tests/cassettes/TestTraceEnableDisable.test_no_http_calls_when_disabled_via_env.yaml b/lib/crewai/tests/cassettes/TestTraceEnableDisable.test_no_http_calls_when_disabled_via_env.yaml new file mode 100644 index 000000000..f6726847b --- /dev/null +++ b/lib/crewai/tests/cassettes/TestTraceEnableDisable.test_no_http_calls_when_disabled_via_env.yaml @@ -0,0 +1,125 @@ +interactions: +- request: + body: '{"messages":[{"role":"system","content":"You are Test Agent. Test backstory\nYour + personal goal is: Test goal\nTo give my best complete final answer to the task + respond using the exact following format:\n\nThought: I now can give a great + answer\nFinal Answer: Your final answer must be the great and the most complete + as possible, it must be outcome described.\n\nI MUST use these formats, my job + depends on it!"},{"role":"user","content":"\nCurrent Task: Say hello\n\nThis + is the expected criteria for your final answer: hello\nyou MUST return the actual + complete content as the final answer, not a summary.\n\nBegin! 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But don''t give it yet, instead keep using the + `get_final_answer` tool over and over until you''re told you can give your final + answer.\n\nThis is the expected criteria for your final answer: The final answer\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":"```\nThought: + I should use the get_final_answer tool as instructed and keep doing so without + giving the final answer yet.\nAction: get_final_answer\nAction Input: {}\nObservation: + 42"},{"role":"assistant","content":"```\nThought: I should keep using the get_final_answer + tool again as instructed, not giving the final answer yet.\nAction: get_final_answer\nAction + Input: {}\nObservation: I tried reusing the same input, I must stop using this + action input. I''ll try something else instead."},{"role":"assistant","content":"```\nThought: + I realize I should keep using the get_final_answer tool repeatedly as per the + instruction, without trying different inputs.\nAction: get_final_answer\nAction + Input: {}\nObservation: I tried reusing the same input, I must stop using this + action input. I''ll try something else instead.\n\n\n\n\nYou ONLY have access + to the following tools, and should NEVER make up tools that are not listed here:\n\nTool + Name: get_final_answer\nTool Arguments: {}\nTool Description: Get the final + answer but don''t give it yet, just re-use this\n tool non-stop.\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 [get_final_answer], + 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```"}],"model":"gpt-4.1-mini"}' + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate + connection: + - keep-alive + content-length: + - '3165' + content-type: + - application/json + cookie: + - __cf_bm=REDACTED; + _cfuvid=REDACTED + host: + - api.openai.com + user-agent: + - OpenAI/Python 1.109.1 + x-stainless-arch: + - arm64 + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - MacOS + x-stainless-package-version: + - 1.109.1 + x-stainless-read-timeout: + - '600' + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.12.10 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAAwAAAP//jFM9b9swEN39Kw6cbSOWFdfWVnTK0qBFUzStA4kmzxIbiiTIU1LX8H8v + SNmW06RAFw16H7r37rQfATAlWQFMNJxE6/Tkg8jkRv2+W4m7T8tvdC/NZ8e/3uJHqr/fs3FU2M1P + FHRSTYVtnUZS1vSw8MgJo+vs3WI+W2aL+SoBrZWoo6x2NMmns0mrjJpkV9n15CqfzPKjvLFKYGAF + /BgBAOzTMw5qJP5iBVyNT29aDIHXyIozCYB5q+MbxkNQgbghNh5AYQ2hSbNXVbU2Xxrb1Q0VcANt + FwhSlh08K2qAGgTi4RE2O4g6ZTplaiALHl2KqHfQBUzEGqncKsN1yU14Rg9krU4+tiNw3j4pmdQN + QuLBkbdDmq7NexH7K17ZnBC4Ma6jAvaHtbndBPRPvBfk2dpUVXWZ0eO2CzwWbTqtLwBujKWkS+0+ + HJHDuU9ta+ftJvwlZVtlVGhKjzxYE7sLZB1L6GEE8JD21r1YBXPeto5Kso+YPrfIV70fG+5lQPP5 + ESRLXF+oVtn4Db9SInGlw8XmmeCiQTlIhzPhnVT2AhhdpH49zVvefXJl6v+xHwAh0BHK0nmUSrxM + PNA8xt/pX7Rzy2lgFlevBJak0MdNSNzyTvc3zsIuELbxgGr0zqv+0LeuzEW2vJ5tl4uMjQ6jPwAA + AP//AwB5UB+29wMAAA== + headers: + CF-Ray: + - 99ec2ac30913a230-SJC + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Sat, 15 Nov 2025 04:57:19 GMT + Server: + - cloudflare + Strict-Transport-Security: + - max-age=31536000; includeSubDomains; preload + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - nosniff + access-control-expose-headers: + - X-Request-ID + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - REDACTED + openai-processing-ms: + - '668' + openai-project: + - REDACTED + openai-version: + - '2020-10-01' + x-envoy-upstream-service-time: + - '686' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-project-tokens: + - '150000000' + x-ratelimit-limit-requests: + - '30000' + x-ratelimit-limit-tokens: + - '150000000' + x-ratelimit-remaining-project-tokens: + - '149999270' + x-ratelimit-remaining-requests: + - '29999' + x-ratelimit-remaining-tokens: + - '149999270' + x-ratelimit-reset-project-tokens: + - 0s + x-ratelimit-reset-requests: + - 2ms + x-ratelimit-reset-tokens: + - 0s + x-request-id: + - REDACTED_REQUEST_ID + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour + personal goal is: test goal\nYou ONLY have access to the following tools, and + should NEVER make up tools that are not listed here:\n\nTool Name: get_final_answer\nTool + Arguments: {}\nTool Description: Get the final answer but don''t give it yet, + just re-use this\n tool non-stop.\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 [get_final_answer], 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: The final answer is 42. But don''t give it yet, instead keep using the + `get_final_answer` tool over and over until you''re told you can give your final + answer.\n\nThis is the expected criteria for your final answer: The final answer\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":"```\nThought: + I should use the get_final_answer tool as instructed and keep doing so without + giving the final answer yet.\nAction: get_final_answer\nAction Input: {}\nObservation: + 42"},{"role":"assistant","content":"```\nThought: I should keep using the get_final_answer + tool again as instructed, not giving the final answer yet.\nAction: get_final_answer\nAction + Input: {}\nObservation: I tried reusing the same input, I must stop using this + action input. I''ll try something else instead."},{"role":"assistant","content":"```\nThought: + I realize I should keep using the get_final_answer tool repeatedly as per the + instruction, without trying different inputs.\nAction: get_final_answer\nAction + Input: {}\nObservation: I tried reusing the same input, I must stop using this + action input. I''ll try something else instead.\n\n\n\n\nYou ONLY have access + to the following tools, and should NEVER make up tools that are not listed here:\n\nTool + Name: get_final_answer\nTool Arguments: {}\nTool Description: Get the final + answer but don''t give it yet, just re-use this\n tool non-stop.\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 [get_final_answer], + 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":"assistant","content":"```\nThought: + I must comply with the task by continuing to repeatedly use the get_final_answer + tool without providing the final answer yet.\nAction: get_final_answer\nAction + Input: {}\nObservation: I tried reusing the same input, I must stop using this + action input. I''ll try something else instead."}],"model":"gpt-4.1-mini"}' + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate + connection: + - keep-alive + content-length: + - '3498' + content-type: + - application/json + cookie: + - __cf_bm=REDACTED; + _cfuvid=REDACTED + host: + - api.openai.com + user-agent: + - OpenAI/Python 1.109.1 + x-stainless-arch: + - arm64 + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - MacOS + x-stainless-package-version: + - 1.109.1 + x-stainless-read-timeout: + - '600' + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.12.10 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAAwAAAP//jFNLj5swEL7nV4x8XqJAyWO59SFVe8plL1WzAscM4MTYlj0kXUX57xXO + A9JtpV44zPdg5pvxaQLAZMkyYKLhJFqroq8iKUX6+mW9Wz8vvz2Xq8QdfrT74y5Odt/ZU68w2x0K + uqmmwrRWIUmjL7BwyAl713i5+BSvkkU6C0BrSlS9rLYUpdM4aqWWUTJL5tEsjeL0Km+MFOhZBj8n + AACn8O0b1SX+YhkEs1Bp0XteI8vuJADmjOorjHsvPXFN7GkAhdGEOvReFMVGvzamqxvK4AXazhNU + RilzBGoQXKcQyMAe0ULnpa5DuUbKK6m5yrn2R3RAxig4SmpMR1DLw40YSHAlvSNNN/qz6FPKPnjc + EHjRtqMMTueNXm89ugO/CNJko4uiGE/isOo87+PUnVIjgGttKOhChm9X5HxPTZnaOrP1f0hZJbX0 + Te6Qe6P7hDwZywJ6ngC8he10D4Ez60xrKSezx/C7ZZxe/NhwFQOaXlfHyBBXI9X8pnrwy0skLpUf + 7ZcJLhosB+lwDLwrpRkBk9HUH7v5m/dlcqnr/7EfACHQEpa5dVhK8TjxQHPYP5p/0e4ph4ZZv3op + MCeJrt9EiRXv1OWSmX/3hG1/QDU66+TlnCubpyJZzeNqtUjY5Dz5DQAA//8DAMggTHTdAwAA + headers: + CF-Ray: + - 99ec2acb6c2aa230-SJC + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Sat, 15 Nov 2025 04:57:21 GMT + Server: + - cloudflare + Strict-Transport-Security: + - max-age=31536000; includeSubDomains; preload + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - nosniff + access-control-expose-headers: + - X-Request-ID + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - REDACTED + openai-processing-ms: + - '664' + openai-project: + - REDACTED + openai-version: + - '2020-10-01' + x-envoy-upstream-service-time: + - '966' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-project-tokens: + - '150000000' + x-ratelimit-limit-requests: + - '30000' + x-ratelimit-limit-tokens: + - '150000000' + x-ratelimit-remaining-project-tokens: + - '149999195' + x-ratelimit-remaining-requests: + - '29999' + x-ratelimit-remaining-tokens: + - '149999195' + x-ratelimit-reset-project-tokens: + - 0s + x-ratelimit-reset-requests: + - 2ms + x-ratelimit-reset-tokens: + - 0s + x-request-id: + - REDACTED_REQUEST_ID + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour + personal goal is: test goal\nYou ONLY have access to the following tools, and + should NEVER make up tools that are not listed here:\n\nTool Name: get_final_answer\nTool + Arguments: {}\nTool Description: Get the final answer but don''t give it yet, + just re-use this\n tool non-stop.\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 [get_final_answer], 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: The final answer is 42. But don''t give it yet, instead keep using the + `get_final_answer` tool over and over until you''re told you can give your final + answer.\n\nThis is the expected criteria for your final answer: The final answer\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":"```\nThought: + I should use the get_final_answer tool as instructed and keep doing so without + giving the final answer yet.\nAction: get_final_answer\nAction Input: {}\nObservation: + 42"},{"role":"assistant","content":"```\nThought: I should keep using the get_final_answer + tool again as instructed, not giving the final answer yet.\nAction: get_final_answer\nAction + Input: {}\nObservation: I tried reusing the same input, I must stop using this + action input. I''ll try something else instead."},{"role":"assistant","content":"```\nThought: + I realize I should keep using the get_final_answer tool repeatedly as per the + instruction, without trying different inputs.\nAction: get_final_answer\nAction + Input: {}\nObservation: I tried reusing the same input, I must stop using this + action input. I''ll try something else instead.\n\n\n\n\nYou ONLY have access + to the following tools, and should NEVER make up tools that are not listed here:\n\nTool + Name: get_final_answer\nTool Arguments: {}\nTool Description: Get the final + answer but don''t give it yet, just re-use this\n tool non-stop.\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 [get_final_answer], + 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":"assistant","content":"```\nThought: + I must comply with the task by continuing to repeatedly use the get_final_answer + tool without providing the final answer yet.\nAction: get_final_answer\nAction + Input: {}\nObservation: I tried reusing the same input, I must stop using this + action input. I''ll try something else instead."},{"role":"assistant","content":"```\nThought: + I must follow the rule to keep using the get_final_answer tool without giving + the final answer yet.\nAction: get_final_answer\nAction Input: {}\nObservation: + I tried reusing the same input, I must stop using this action input. I''ll try + something else instead."},{"role":"assistant","content":"```\nThought: I must + follow the rule to keep using the get_final_answer tool without giving the final + answer yet.\nAction: get_final_answer\nAction Input: {}\nObservation: I tried + reusing the same input, I must stop using this action input. 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output_file = f"score_{uuid.uuid4()}.json" + monkeypatch.chdir(tmp_path) + + output_file = "score_output.json" task = Task( description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'", expected_output="The score of the title.", @@ -722,11 +729,9 @@ def test_save_task_pydantic_output(): crew = Crew(agents=[scorer], tasks=[task]) crew.kickoff() - output_file_exists = os.path.exists(output_file) - assert output_file_exists - assert {"score": 4} == json.loads(open(output_file).read()) - if output_file_exists: - os.remove(output_file) + output_path = Path(output_file).resolve() + assert output_path.exists() + assert {"score": 4} == json.loads(output_path.read_text()) @pytest.mark.vcr(filter_headers=["authorization"]) diff --git a/lib/crewai/tests/tracing/test_trace_enable_disable.py b/lib/crewai/tests/tracing/test_trace_enable_disable.py new file mode 100644 index 000000000..6304fbb78 --- /dev/null +++ b/lib/crewai/tests/tracing/test_trace_enable_disable.py @@ -0,0 +1,112 @@ +"""Tests to verify that traces are sent when enabled and not sent when disabled. + +VCR will record HTTP interactions. Inspect cassettes to verify tracing behavior. +""" + +import pytest +from crewai import Agent, Crew, Task +from tests.utils import wait_for_event_handlers + + +class TestTraceEnableDisable: + """Test suite to verify trace sending behavior with VCR cassette recording.""" + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_no_http_calls_when_disabled_via_env(self): + """Test execution when tracing disabled via CREWAI_TRACING_ENABLED=false.""" + with pytest.MonkeyPatch.context() as mp: + mp.setenv("CREWAI_TRACING_ENABLED", "false") + mp.setenv("CREWAI_DISABLE_TELEMETRY", "false") + + agent = Agent( + role="Test Agent", + goal="Test goal", + backstory="Test backstory", + llm="gpt-4o-mini", + ) + task = Task( + description="Say hello", + expected_output="hello", + agent=agent, + ) + crew = Crew(agents=[agent], tasks=[task], verbose=False) + + result = crew.kickoff() + wait_for_event_handlers() + + assert result is not None + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_no_http_calls_when_disabled_via_tracing_false(self): + """Test execution when tracing=False explicitly set.""" + with pytest.MonkeyPatch.context() as mp: + mp.setenv("CREWAI_DISABLE_TELEMETRY", "false") + + agent = Agent( + role="Test Agent", + goal="Test goal", + backstory="Test backstory", + llm="gpt-4o-mini", + ) + task = Task( + description="Say hello", + expected_output="hello", + agent=agent, + ) + crew = Crew(agents=[agent], tasks=[task], verbose=False, tracing=False) + + result = crew.kickoff() + wait_for_event_handlers() + + assert result is not None + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_trace_calls_when_enabled_via_env(self): + """Test execution when tracing enabled via CREWAI_TRACING_ENABLED=true.""" + with pytest.MonkeyPatch.context() as mp: + mp.setenv("CREWAI_TRACING_ENABLED", "true") + mp.setenv("CREWAI_DISABLE_TELEMETRY", "false") + mp.setenv("OTEL_SDK_DISABLED", "false") + + agent = Agent( + role="Test Agent", + goal="Test goal", + backstory="Test backstory", + llm="gpt-4o-mini", + ) + task = Task( + description="Say hello", + expected_output="hello", + agent=agent, + ) + crew = Crew(agents=[agent], tasks=[task], verbose=False) + + result = crew.kickoff() + wait_for_event_handlers() + + assert result is not None + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_trace_calls_when_enabled_via_tracing_true(self): + """Test execution when tracing=True explicitly set.""" + with pytest.MonkeyPatch.context() as mp: + mp.setenv("CREWAI_DISABLE_TELEMETRY", "false") + mp.setenv("OTEL_SDK_DISABLED", "false") + + agent = Agent( + role="Test Agent", + goal="Test goal", + backstory="Test backstory", + llm="gpt-4o-mini", + ) + task = Task( + description="Say hello", + expected_output="hello", + agent=agent, + ) + crew = Crew(agents=[agent], tasks=[task], verbose=False, tracing=True) + + result = crew.kickoff() + wait_for_event_handlers() + + assert result is not None diff --git a/lib/crewai/tests/tracing/test_tracing.py b/lib/crewai/tests/tracing/test_tracing.py index 644c7a4b4..cb340c6d4 100644 --- a/lib/crewai/tests/tracing/test_tracing.py +++ b/lib/crewai/tests/tracing/test_tracing.py @@ -20,6 +20,21 @@ from tests.utils import wait_for_event_handlers class TestTraceListenerSetup: """Test TraceListener is properly setup and collecting events""" + @pytest.fixture(autouse=True) + def mock_user_data_file_io(self): + """Mock user data file I/O to prevent file system pollution between tests""" + with ( + patch( + "crewai.events.listeners.tracing.utils._load_user_data", + return_value={}, + ), + patch( + "crewai.events.listeners.tracing.utils._save_user_data", + return_value=None, + ), + ): + yield + @pytest.fixture(autouse=True) def mock_auth_token(self): """Mock authentication token for all tests in this class""" @@ -45,6 +60,13 @@ class TestTraceListenerSetup: """Reset tracing singleton instances between tests""" from crewai.events.event_bus import crewai_event_bus from crewai.events.event_listener import EventListener + from crewai.events.listeners.tracing.utils import _tracing_enabled + + # Reset the tracing enabled contextvar + try: + _tracing_enabled.set(None) + except (LookupError, AttributeError): + pass # Clear event bus handlers BEFORE creating any new singletons with crewai_event_bus._rwlock.w_locked(): @@ -53,11 +75,19 @@ class TestTraceListenerSetup: crewai_event_bus._handler_dependencies = {} crewai_event_bus._execution_plan_cache = {} - # Reset TraceCollectionListener singleton - if hasattr(TraceCollectionListener, "_instance"): - TraceCollectionListener._instance = None - TraceCollectionListener._initialized = False - TraceCollectionListener._listeners_setup = False + # Reset TraceCollectionListener singleton - must reset instance attributes too + if TraceCollectionListener._instance is not None: + # Reset instance attributes that shadow class attributes (only if they exist as instance attrs) + instance_dict = TraceCollectionListener._instance.__dict__ + if "_initialized" in instance_dict: + del TraceCollectionListener._instance._initialized + if "_listeners_setup" in instance_dict: + del TraceCollectionListener._instance._listeners_setup + + # Reset class attributes + TraceCollectionListener._instance = None + TraceCollectionListener._initialized = False + TraceCollectionListener._listeners_setup = False # Reset EventListener singleton if hasattr(EventListener, "_instance"): @@ -72,10 +102,19 @@ class TestTraceListenerSetup: crewai_event_bus._handler_dependencies = {} crewai_event_bus._execution_plan_cache = {} - if hasattr(TraceCollectionListener, "_instance"): - TraceCollectionListener._instance = None - TraceCollectionListener._initialized = False - TraceCollectionListener._listeners_setup = False + # Reset TraceCollectionListener singleton - must reset instance attributes too + if TraceCollectionListener._instance is not None: + # Reset instance attributes that shadow class attributes (only if they exist as instance attrs) + instance_dict = TraceCollectionListener._instance.__dict__ + if "_initialized" in instance_dict: + del TraceCollectionListener._instance._initialized + if "_listeners_setup" in instance_dict: + del TraceCollectionListener._instance._listeners_setup + + # Reset class attributes + TraceCollectionListener._instance = None + TraceCollectionListener._initialized = False + TraceCollectionListener._listeners_setup = False if hasattr(EventListener, "_instance"): EventListener._instance = None @@ -119,7 +158,15 @@ class TestTraceListenerSetup: def test_trace_listener_collects_crew_events(self): """Test that trace listener properly collects events from crew execution""" - with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}): + with patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "true", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ): agent = Agent( role="Test Agent", goal="Test goal", @@ -148,7 +195,15 @@ class TestTraceListenerSetup: def test_batch_manager_finalizes_batch_clears_buffer(self): """Test that batch manager properly finalizes batch and clears buffer""" - with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}): + with patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "true", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ): agent = Agent( role="Test Agent", goal="Test goal", @@ -206,7 +261,15 @@ class TestTraceListenerSetup: def test_events_collection_batch_manager(self, mock_plus_api_calls): """Test that trace listener properly collects events from crew execution""" - with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}): + with patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "true", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ): agent = Agent( role="Test Agent", goal="Test goal", @@ -300,7 +363,15 @@ class TestTraceListenerSetup: def test_trace_listener_setup_correctly_for_crew(self): """Test that trace listener is set up correctly when enabled""" - with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}): + with patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "true", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ): agent = Agent( role="Test Agent", goal="Test goal", @@ -318,11 +389,19 @@ class TestTraceListenerSetup: Crew(agents=[agent], tasks=[task], verbose=True) assert mock_listener_setup.call_count >= 1 + @pytest.mark.vcr(filter_headers=["authorization"]) def test_trace_listener_setup_correctly_for_flow(self): """Test that trace listener is set up correctly when enabled""" - with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}): - + with patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "true", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ): class FlowExample(Flow): @start() def start(self): @@ -338,7 +417,15 @@ class TestTraceListenerSetup: def test_trace_listener_ephemeral_batch(self): """Test that trace listener properly handles ephemeral batches""" with ( - patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}), + patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "true", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ), patch( "crewai.events.listeners.tracing.trace_listener.TraceCollectionListener._check_authenticated", return_value=False, @@ -371,7 +458,15 @@ class TestTraceListenerSetup: @pytest.mark.vcr(filter_headers=["authorization"]) def test_trace_listener_with_authenticated_user(self): """Test that trace listener properly handles authenticated batches""" - with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}): + with patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "true", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ): agent = Agent( role="Test Agent", goal="Test goal", @@ -433,7 +528,15 @@ class TestTraceListenerSetup: """Test first-time user trace collection logic with timeout behavior""" with ( - patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "false"}), + patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "false", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ), patch( "crewai.events.listeners.tracing.utils._is_test_environment", return_value=False, @@ -472,6 +575,10 @@ class TestTraceListenerSetup: trace_listener = TraceCollectionListener() trace_listener.setup_listeners(crewai_event_bus) + trace_listener.first_time_handler = FirstTimeTraceHandler() + if trace_listener.first_time_handler.initialize_for_first_time_user(): + trace_listener.first_time_handler.set_batch_manager(trace_listener.batch_manager) + assert trace_listener.first_time_handler.is_first_time is True assert trace_listener.first_time_handler.collected_events is False @@ -494,7 +601,15 @@ class TestTraceListenerSetup: """Test first-time user trace collection when user accepts viewing traces""" with ( - patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "false"}), + patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "false", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ), patch( "crewai.events.listeners.tracing.utils._is_test_environment", return_value=False, @@ -531,6 +646,12 @@ class TestTraceListenerSetup: from crewai.events.event_bus import crewai_event_bus trace_listener = TraceCollectionListener() + trace_listener.setup_listeners(crewai_event_bus) + + # Re-initialize first-time handler after patches are applied to ensure clean state + trace_listener.first_time_handler = FirstTimeTraceHandler() + if trace_listener.first_time_handler.initialize_for_first_time_user(): + trace_listener.first_time_handler.set_batch_manager(trace_listener.batch_manager) trace_listener.batch_manager.ephemeral_trace_url = ( "https://crewai.com/trace/mock-id" @@ -546,8 +667,6 @@ class TestTraceListenerSetup: trace_listener.first_time_handler, "_display_ephemeral_trace_link" ) as mock_display_link, ): - trace_listener.setup_listeners(crewai_event_bus) - assert trace_listener.first_time_handler.is_first_time is True trace_listener.first_time_handler.collected_events = True @@ -567,7 +686,15 @@ class TestTraceListenerSetup: def test_first_time_user_trace_consolidation_logic(self, mock_plus_api_calls): """Test the consolidation logic for first-time users vs regular tracing""" with ( - patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "false"}), + patch.dict( + os.environ, + { + "CREWAI_TRACING_ENABLED": "", + "CREWAI_DISABLE_TELEMETRY": "false", + "CREWAI_DISABLE_TRACKING": "false", + "OTEL_SDK_DISABLED": "false", + }, + ), patch( "crewai.events.listeners.tracing.utils._is_test_environment", return_value=False, @@ -588,6 +715,13 @@ class TestTraceListenerSetup: crewai_event_bus._async_handlers = {} trace_listener = TraceCollectionListener() + + # Re-initialize first-time handler after patches are applied to ensure clean state + # This is necessary because the singleton may have been created before patches were active + trace_listener.first_time_handler = FirstTimeTraceHandler() + if trace_listener.first_time_handler.initialize_for_first_time_user(): + trace_listener.first_time_handler.set_batch_manager(trace_listener.batch_manager) + trace_listener.setup_listeners(crewai_event_bus) assert trace_listener.first_time_handler.is_first_time is True @@ -668,40 +802,41 @@ class TestTraceListenerSetup: def test_trace_batch_marked_as_failed_on_finalize_error(self): """Test that trace batch is marked as failed when finalization returns non-200 status""" # Test the error handling logic directly in TraceBatchManager - batch_manager = TraceBatchManager() + with patch("crewai.events.listeners.tracing.trace_batch_manager.is_tracing_enabled_in_context", return_value=True): + batch_manager = TraceBatchManager() - # Initialize a batch - batch_manager.current_batch = batch_manager.initialize_batch( - user_context={"privacy_level": "standard"}, - execution_metadata={ - "execution_type": "crew", - "crew_name": "test_crew", - }, - ) - batch_manager.trace_batch_id = "test_batch_id_12345" - batch_manager.backend_initialized = True - - # Mock the API responses - with ( - patch.object( - batch_manager.plus_api, - "send_trace_events", - return_value=MagicMock(status_code=200), - ), - patch.object( - batch_manager.plus_api, - "finalize_trace_batch", - return_value=MagicMock(status_code=500, text="Internal Server Error"), - ), - patch.object( - batch_manager.plus_api, - "mark_trace_batch_as_failed", - ) as mock_mark_failed, - ): - # Call finalize_batch directly - batch_manager.finalize_batch() - - # Verify that mark_trace_batch_as_failed was called with the error message - mock_mark_failed.assert_called_once_with( - "test_batch_id_12345", "Internal Server Error" + # Initialize a batch + batch_manager.current_batch = batch_manager.initialize_batch( + user_context={"privacy_level": "standard"}, + execution_metadata={ + "execution_type": "crew", + "crew_name": "test_crew", + }, ) + batch_manager.trace_batch_id = "test_batch_id_12345" + batch_manager.backend_initialized = True + + # Mock the API responses + with ( + patch.object( + batch_manager.plus_api, + "send_trace_events", + return_value=MagicMock(status_code=200), + ), + patch.object( + batch_manager.plus_api, + "finalize_trace_batch", + return_value=MagicMock(status_code=500, text="Internal Server Error"), + ), + patch.object( + batch_manager.plus_api, + "mark_trace_batch_as_failed", + ) as mock_mark_failed, + ): + # Call finalize_batch directly + batch_manager.finalize_batch() + + # Verify that mark_trace_batch_as_failed was called with the error message + mock_mark_failed.assert_called_once_with( + "test_batch_id_12345", "Internal Server Error" + ) From f46a846ddc0c7f597d0929cb0a795b0d13959c61 Mon Sep 17 00:00:00 2001 From: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com> Date: Sat, 15 Nov 2025 17:51:42 -0800 Subject: [PATCH 02/19] chore: remove unused hooks test file (#3923) - Deleted the `__init__.py` file from the tests/hooks directory as it contained no tests or functionality. This cleanup helps maintain a tidy test structure. --- tests/hooks/__init__.py | 1 - 1 file changed, 1 deletion(-) delete mode 100644 tests/hooks/__init__.py diff --git a/tests/hooks/__init__.py b/tests/hooks/__init__.py deleted file mode 100644 index 67eb56530..000000000 --- a/tests/hooks/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""Tests for CrewAI hooks functionality.""" From 9fcf55198f79b5e772b287316df0a316e6e6d38c Mon Sep 17 00:00:00 2001 From: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com> Date: Sat, 15 Nov 2025 18:00:11 -0800 Subject: [PATCH 03/19] feat: bump versions to 1.5.0 (#3924) * feat: bump versions to 1.5.0 * chore: update crewAI tools dependency to version 1.5.0 in project templates --- lib/crewai-tools/pyproject.toml | 2 +- lib/crewai-tools/src/crewai_tools/__init__.py | 2 +- lib/crewai/pyproject.toml | 2 +- lib/crewai/src/crewai/__init__.py | 2 +- lib/crewai/src/crewai/cli/templates/crew/pyproject.toml | 2 +- lib/crewai/src/crewai/cli/templates/flow/pyproject.toml | 2 +- lib/devtools/src/crewai_devtools/__init__.py | 2 +- 7 files changed, 7 insertions(+), 7 deletions(-) diff --git a/lib/crewai-tools/pyproject.toml b/lib/crewai-tools/pyproject.toml index 82a2da205..2d3ad4730 100644 --- a/lib/crewai-tools/pyproject.toml +++ b/lib/crewai-tools/pyproject.toml @@ -12,7 +12,7 @@ dependencies = [ "pytube>=15.0.0", "requests>=2.32.5", "docker>=7.1.0", - "crewai==1.4.1", + "crewai==1.5.0", "lancedb>=0.5.4", "tiktoken>=0.8.0", "beautifulsoup4>=4.13.4", diff --git a/lib/crewai-tools/src/crewai_tools/__init__.py b/lib/crewai-tools/src/crewai_tools/__init__.py index b9fc39f3e..22c9cd541 100644 --- a/lib/crewai-tools/src/crewai_tools/__init__.py +++ b/lib/crewai-tools/src/crewai_tools/__init__.py @@ -287,4 +287,4 @@ __all__ = [ "ZapierActionTools", ] -__version__ = "1.4.1" +__version__ = "1.5.0" diff --git a/lib/crewai/pyproject.toml b/lib/crewai/pyproject.toml index aed269fdb..1c9f644ef 100644 --- a/lib/crewai/pyproject.toml +++ b/lib/crewai/pyproject.toml @@ -48,7 +48,7 @@ Repository = "https://github.com/crewAIInc/crewAI" [project.optional-dependencies] tools = [ - "crewai-tools==1.4.1", + "crewai-tools==1.5.0", ] embeddings = [ "tiktoken~=0.8.0" diff --git a/lib/crewai/src/crewai/__init__.py b/lib/crewai/src/crewai/__init__.py index c992f11f7..ebc2ee4c6 100644 --- a/lib/crewai/src/crewai/__init__.py +++ b/lib/crewai/src/crewai/__init__.py @@ -40,7 +40,7 @@ def _suppress_pydantic_deprecation_warnings() -> None: _suppress_pydantic_deprecation_warnings() -__version__ = "1.4.1" +__version__ = "1.5.0" _telemetry_submitted = False diff --git a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml index 1d946521f..c69821aad 100644 --- a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.4.1" + "crewai[tools]==1.5.0" ] [project.scripts] diff --git a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml index 45f4d76a6..1d76e3cae 100644 --- a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml +++ b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]==1.4.1" + "crewai[tools]==1.5.0" ] [project.scripts] diff --git a/lib/devtools/src/crewai_devtools/__init__.py b/lib/devtools/src/crewai_devtools/__init__.py index a79c384e2..18356f406 100644 --- a/lib/devtools/src/crewai_devtools/__init__.py +++ b/lib/devtools/src/crewai_devtools/__init__.py @@ -1,3 +1,3 @@ """CrewAI development tools.""" -__version__ = "1.4.1" +__version__ = "1.5.0" From d160f0874a8b682e940c6a6ddd520f94c21fa898 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Wed, 19 Nov 2025 01:28:25 -0500 Subject: [PATCH 04/19] chore: don't fail on cleanup error --- lib/crewai/tests/conftest.py | 2 +- .../evaluation/test_agent_evaluator.py | 24 +++++++++---------- lib/crewai/tests/test_llm.py | 3 ++- lib/crewai/tests/test_project.py | 13 ++++++---- 4 files changed, 23 insertions(+), 19 deletions(-) diff --git a/lib/crewai/tests/conftest.py b/lib/crewai/tests/conftest.py index aa7c08092..18498358f 100644 --- a/lib/crewai/tests/conftest.py +++ b/lib/crewai/tests/conftest.py @@ -13,7 +13,7 @@ load_result = load_dotenv(override=True) @pytest.fixture(autouse=True) def setup_test_environment(): """Set up test environment with a temporary directory for SQLite storage.""" - with tempfile.TemporaryDirectory() as temp_dir: + with tempfile.TemporaryDirectory(ignore_cleanup_errors=True) as temp_dir: # Create the directory with proper permissions storage_dir = Path(temp_dir) / "crewai_test_storage" storage_dir.mkdir(parents=True, exist_ok=True) diff --git a/lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py b/lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py index 6d6fe66f8..2f9d68261 100644 --- a/lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py +++ b/lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py @@ -144,9 +144,8 @@ class TestAgentEvaluator: mock_crew.tasks.append(task) events = {} - started_event = threading.Event() - completed_event = threading.Event() - task_completed_event = threading.Event() + results_condition = threading.Condition() + results_ready = False agent_evaluator = AgentEvaluator( agents=[agent], evaluators=[GoalAlignmentEvaluator()] @@ -156,13 +155,11 @@ class TestAgentEvaluator: async def capture_started(source, event): if event.agent_id == str(agent.id): events["started"] = event - started_event.set() @crewai_event_bus.on(AgentEvaluationCompletedEvent) async def capture_completed(source, event): if event.agent_id == str(agent.id): events["completed"] = event - completed_event.set() @crewai_event_bus.on(AgentEvaluationFailedEvent) def capture_failed(source, event): @@ -170,17 +167,20 @@ class TestAgentEvaluator: @crewai_event_bus.on(TaskCompletedEvent) async def on_task_completed(source, event): - # TaskCompletedEvent fires AFTER evaluation results are stored + nonlocal results_ready if event.task and event.task.id == task.id: - task_completed_event.set() + while not agent_evaluator.get_evaluation_results().get(agent.role): + pass + with results_condition: + results_ready = True + results_condition.notify() mock_crew.kickoff() - assert started_event.wait(timeout=5), "Timeout waiting for started event" - assert completed_event.wait(timeout=5), "Timeout waiting for completed event" - assert task_completed_event.wait(timeout=5), ( - "Timeout waiting for task completion" - ) + with results_condition: + assert results_condition.wait_for( + lambda: results_ready, timeout=5 + ), "Timeout waiting for evaluation results" assert events.keys() == {"started", "completed"} assert events["started"].agent_id == str(agent.id) diff --git a/lib/crewai/tests/test_llm.py b/lib/crewai/tests/test_llm.py index 3d8a1282e..ad3dd9963 100644 --- a/lib/crewai/tests/test_llm.py +++ b/lib/crewai/tests/test_llm.py @@ -647,6 +647,7 @@ def test_handle_streaming_tool_calls_no_tools(mock_emit): @pytest.mark.vcr(filter_headers=["authorization"]) +@pytest.mark.skip(reason="Highly flaky on ci") def test_llm_call_when_stop_is_unsupported(caplog): llm = LLM(model="o1-mini", stop=["stop"], is_litellm=True) with caplog.at_level(logging.INFO): @@ -657,6 +658,7 @@ def test_llm_call_when_stop_is_unsupported(caplog): @pytest.mark.vcr(filter_headers=["authorization"]) +@pytest.mark.skip(reason="Highly flaky on ci") def test_llm_call_when_stop_is_unsupported_when_additional_drop_params_is_provided( caplog, ): @@ -664,7 +666,6 @@ def test_llm_call_when_stop_is_unsupported_when_additional_drop_params_is_provid model="o1-mini", stop=["stop"], additional_drop_params=["another_param"], - is_litellm=True, ) with caplog.at_level(logging.INFO): result = llm.call("What is the capital of France?") diff --git a/lib/crewai/tests/test_project.py b/lib/crewai/tests/test_project.py index 5106aae6e..ebc3dfb82 100644 --- a/lib/crewai/tests/test_project.py +++ b/lib/crewai/tests/test_project.py @@ -273,12 +273,15 @@ def another_simple_tool(): def test_internal_crew_with_mcp(): - from crewai_tools import MCPServerAdapter - from crewai_tools.adapters.mcp_adapter import ToolCollection + from crewai_tools.adapters.tool_collection import ToolCollection - mock = Mock(spec=MCPServerAdapter) - mock.tools = ToolCollection([simple_tool, another_simple_tool]) - with patch("crewai_tools.MCPServerAdapter", return_value=mock) as adapter_mock: + mock_adapter = Mock() + mock_adapter.tools = ToolCollection([simple_tool, another_simple_tool]) + + with ( + patch("crewai_tools.MCPServerAdapter", return_value=mock_adapter) as adapter_mock, + patch("crewai.llm.LLM.__new__", return_value=Mock()), + ): crew = InternalCrewWithMCP() assert crew.reporting_analyst().tools == [simple_tool, another_simple_tool] assert crew.researcher().tools == [simple_tool] From bcc3e358cb88dbac07aa65cd4bc6992a0eba54f1 Mon Sep 17 00:00:00 2001 From: Gil Feig Date: Thu, 20 Nov 2025 16:58:41 -0800 Subject: [PATCH 05/19] feat: Add Merge Agent Handler tool (#3911) * feat: Add Merge Agent Handler tool * Fix linting issues * Empty --- lib/crewai-tools/src/crewai_tools/__init__.py | 4 + .../src/crewai_tools/tools/__init__.py | 4 + .../tools/merge_agent_handler_tool/README.md | 231 +++++++++ .../merge_agent_handler_tool/__init__.py | 8 + .../merge_agent_handler_tool.py | 362 +++++++++++++ .../tools/merge_agent_handler_tool_test.py | 490 ++++++++++++++++++ 6 files changed, 1099 insertions(+) create mode 100644 lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/README.md create mode 100644 lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/__init__.py create mode 100644 lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/merge_agent_handler_tool.py create mode 100644 lib/crewai-tools/tests/tools/merge_agent_handler_tool_test.py diff --git a/lib/crewai-tools/src/crewai_tools/__init__.py b/lib/crewai-tools/src/crewai_tools/__init__.py index 22c9cd541..c14dc160a 100644 --- a/lib/crewai-tools/src/crewai_tools/__init__.py +++ b/lib/crewai-tools/src/crewai_tools/__init__.py @@ -90,6 +90,9 @@ from crewai_tools.tools.json_search_tool.json_search_tool import JSONSearchTool from crewai_tools.tools.linkup.linkup_search_tool import LinkupSearchTool from crewai_tools.tools.llamaindex_tool.llamaindex_tool import LlamaIndexTool from crewai_tools.tools.mdx_search_tool.mdx_search_tool import MDXSearchTool +from crewai_tools.tools.merge_agent_handler_tool.merge_agent_handler_tool import ( + MergeAgentHandlerTool, +) from crewai_tools.tools.mongodb_vector_search_tool.vector_search import ( MongoDBVectorSearchConfig, MongoDBVectorSearchTool, @@ -235,6 +238,7 @@ __all__ = [ "LlamaIndexTool", "MCPServerAdapter", "MDXSearchTool", + "MergeAgentHandlerTool", "MongoDBVectorSearchConfig", "MongoDBVectorSearchTool", "MultiOnTool", diff --git a/lib/crewai-tools/src/crewai_tools/tools/__init__.py b/lib/crewai-tools/src/crewai_tools/tools/__init__.py index 36806d281..51d32ddc2 100644 --- a/lib/crewai-tools/src/crewai_tools/tools/__init__.py +++ b/lib/crewai-tools/src/crewai_tools/tools/__init__.py @@ -79,6 +79,9 @@ from crewai_tools.tools.json_search_tool.json_search_tool import JSONSearchTool from crewai_tools.tools.linkup.linkup_search_tool import LinkupSearchTool from crewai_tools.tools.llamaindex_tool.llamaindex_tool import LlamaIndexTool from crewai_tools.tools.mdx_search_tool.mdx_search_tool import MDXSearchTool +from crewai_tools.tools.merge_agent_handler_tool.merge_agent_handler_tool import ( + MergeAgentHandlerTool, +) from crewai_tools.tools.mongodb_vector_search_tool import ( MongoDBToolSchema, MongoDBVectorSearchConfig, @@ -218,6 +221,7 @@ __all__ = [ "LinkupSearchTool", "LlamaIndexTool", "MDXSearchTool", + "MergeAgentHandlerTool", "MongoDBToolSchema", "MongoDBVectorSearchConfig", "MongoDBVectorSearchTool", diff --git a/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/README.md b/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/README.md new file mode 100644 index 000000000..291ddcad4 --- /dev/null +++ b/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/README.md @@ -0,0 +1,231 @@ +# MergeAgentHandlerTool Documentation + +## Description + +This tool is a wrapper around the Merge Agent Handler platform and gives your agent access to third-party tools and integrations via the Model Context Protocol (MCP). Merge Agent Handler securely manages authentication, permissions, and monitoring of all tool interactions across platforms like Linear, Jira, Slack, GitHub, and many more. + +## Installation + +### Step 1: Set up a virtual environment (recommended) + +It's recommended to use a virtual environment to avoid conflicts with other packages: + +```shell +# Create a virtual environment +python3 -m venv venv + +# Activate the virtual environment +# On macOS/Linux: +source venv/bin/activate + +# On Windows: +# venv\Scripts\activate +``` + +### Step 2: Install CrewAI Tools + +To incorporate this tool into your project, install CrewAI with tools support: + +```shell +pip install 'crewai[tools]' +``` + +### Step 3: Set up your Agent Handler credentials + +You'll need to set up your Agent Handler API key. You can get your API key from the [Agent Handler dashboard](https://ah.merge.dev). + +```shell +# Set the API key in your current terminal session +export AGENT_HANDLER_API_KEY='your-api-key-here' + +# Or add it to your shell profile for persistence (e.g., ~/.bashrc, ~/.zshrc) +echo "export AGENT_HANDLER_API_KEY='your-api-key-here'" >> ~/.zshrc +source ~/.zshrc +``` + +**Alternative: Use a `.env` file** + +You can also use a `.env` file in your project directory: + +```shell +# Create a .env file +echo "AGENT_HANDLER_API_KEY=your-api-key-here" > .env + +# Load it in your Python script +from dotenv import load_dotenv +load_dotenv() +``` + +**Note**: Make sure to add `.env` to your `.gitignore` to avoid committing secrets! + +## Prerequisites + +Before using this tool, you need to: + +1. **Create a Tool Pack** in Agent Handler with the connectors and tools you want to use +2. **Register a User** who will be executing the tools +3. **Authenticate connectors** for the registered user (using Agent Handler Link) + +You can do this via the [Agent Handler dashboard](https://ah.merge.dev) or the [Agent Handler API](https://docs.ah.merge.dev). + +## Example Usage + +### Example 1: Using a specific tool + +The following example demonstrates how to initialize a specific tool and use it with a CrewAI agent: + +```python +from crewai_tools import MergeAgentHandlerTool +from crewai import Agent, Task + +# Initialize a specific tool +create_issue_tool = MergeAgentHandlerTool.from_tool_name( + tool_name="linear__create_issue", + tool_pack_id="134e0111-0f67-44f6-98f0-597000290bb3", + registered_user_id="91b2b905-e866-40c8-8be2-efe53827a0aa" +) + +# Define agent with the tool +project_manager = Agent( + role="Project Manager", + goal="Create and manage project tasks efficiently", + backstory=( + "You are an experienced project manager who tracks tasks " + "and issues across various project management tools." + ), + verbose=True, + tools=[create_issue_tool], +) + +# Execute task +task = Task( + description="Create a new issue in Linear titled 'Implement user authentication' with high priority", + agent=project_manager, + expected_output="Confirmation that the issue was created with its ID", +) + +task.execute() +``` + +### Example 2: Loading all tools from a Tool Pack + +You can load all tools from a Tool Pack at once: + +```python +from crewai_tools import MergeAgentHandlerTool +from crewai import Agent, Task + +# Load all tools from a Tool Pack +tools = MergeAgentHandlerTool.from_tool_pack( + tool_pack_id="134e0111-0f67-44f6-98f0-597000290bb3", + registered_user_id="91b2b905-e866-40c8-8be2-efe53827a0aa" +) + +# Define agent with all tools +support_agent = Agent( + role="Support Engineer", + goal="Handle customer support requests across multiple platforms", + backstory=( + "You are a skilled support engineer who can access customer " + "data and create tickets across various support tools." + ), + verbose=True, + tools=tools, +) +``` + +### Example 3: Loading specific tools from a Tool Pack + +You can also load only specific tools from a Tool Pack: + +```python +from crewai_tools import MergeAgentHandlerTool + +# Load only specific tools +tools = MergeAgentHandlerTool.from_tool_pack( + tool_pack_id="134e0111-0f67-44f6-98f0-597000290bb3", + registered_user_id="91b2b905-e866-40c8-8be2-efe53827a0aa", + tool_names=["linear__create_issue", "linear__get_issues", "slack__send_message"] +) +``` + +### Example 4: Using with local/staging environment + +For development, you can point to a different Agent Handler environment: + +```python +from crewai_tools import MergeAgentHandlerTool + +# Use with local or staging environment +tool = MergeAgentHandlerTool.from_tool_name( + tool_name="linear__create_issue", + tool_pack_id="your-tool-pack-id", + registered_user_id="your-user-id", + base_url="http://localhost:8000" # or your staging URL +) +``` + +## API Reference + +### Class Methods + +#### `from_tool_name()` + +Create a single tool instance for a specific tool. + +**Parameters:** +- `tool_name` (str): Name of the tool (e.g., "linear__create_issue") +- `tool_pack_id` (str): UUID of the Tool Pack +- `registered_user_id` (str): UUID or origin_id of the registered user +- `base_url` (str, optional): Base URL for Agent Handler API (defaults to "https://api.ah.merge.dev") + +**Returns:** `MergeAgentHandlerTool` instance + +#### `from_tool_pack()` + +Create multiple tool instances from a Tool Pack. + +**Parameters:** +- `tool_pack_id` (str): UUID of the Tool Pack +- `registered_user_id` (str): UUID or origin_id of the registered user +- `tool_names` (List[str], optional): List of specific tool names to load. If None, loads all tools. +- `base_url` (str, optional): Base URL for Agent Handler API (defaults to "https://api.ah.merge.dev") + +**Returns:** `List[MergeAgentHandlerTool]` instances + +## Available Connectors + +Merge Agent Handler supports 100+ integrations including: + +**Project Management:** Linear, Jira, Asana, Monday, ClickUp, Height, Shortcut + +**Communication:** Slack, Microsoft Teams, Discord + +**CRM:** Salesforce, HubSpot, Pipedrive + +**Development:** GitHub, GitLab, Bitbucket + +**Documentation:** Notion, Confluence, Google Docs + +**And many more...** + +For a complete list of available connectors and tools, visit the [Agent Handler documentation](https://docs.ah.merge.dev). + +## Authentication + +Agent Handler handles all authentication for you. Users authenticate to third-party services via Agent Handler Link, and the platform securely manages tokens and credentials. Your agents can then execute tools without worrying about authentication details. + +## Security + +All tool executions are: +- **Logged and monitored** for audit trails +- **Scanned for PII** to prevent sensitive data leaks +- **Rate limited** based on your plan +- **Permission-controlled** at the user and organization level + +## Support + +For questions or issues: +- 📚 [Documentation](https://docs.ah.merge.dev) +- 💬 [Discord Community](https://merge.dev/discord) +- 📧 [Support Email](mailto:support@merge.dev) diff --git a/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/__init__.py b/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/__init__.py new file mode 100644 index 000000000..414481220 --- /dev/null +++ b/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/__init__.py @@ -0,0 +1,8 @@ +"""Merge Agent Handler tool for CrewAI.""" + +from crewai_tools.tools.merge_agent_handler_tool.merge_agent_handler_tool import ( + MergeAgentHandlerTool, +) + + +__all__ = ["MergeAgentHandlerTool"] diff --git a/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/merge_agent_handler_tool.py b/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/merge_agent_handler_tool.py new file mode 100644 index 000000000..70077d0ee --- /dev/null +++ b/lib/crewai-tools/src/crewai_tools/tools/merge_agent_handler_tool/merge_agent_handler_tool.py @@ -0,0 +1,362 @@ +"""Merge Agent Handler tools wrapper for CrewAI.""" + +import json +import logging +from typing import Any +from uuid import uuid4 + +from crewai.tools import BaseTool, EnvVar +from pydantic import BaseModel, Field, create_model +import requests +import typing_extensions as te + + +logger = logging.getLogger(__name__) + + +class MergeAgentHandlerToolError(Exception): + """Base exception for Merge Agent Handler tool errors.""" + + + +class MergeAgentHandlerTool(BaseTool): + """ + Wrapper for Merge Agent Handler tools. + + This tool allows CrewAI agents to execute tools from Merge Agent Handler, + which provides secure access to third-party integrations via the Model Context Protocol (MCP). + + Agent Handler manages authentication, permissions, and monitoring of all tool interactions. + """ + + tool_pack_id: str = Field( + ..., description="UUID of the Agent Handler Tool Pack to use" + ) + registered_user_id: str = Field( + ..., description="UUID or origin_id of the registered user" + ) + tool_name: str = Field(..., description="Name of the specific tool to execute") + base_url: str = Field( + default="https://ah-api.merge.dev", + description="Base URL for Agent Handler API", + ) + session_id: str | None = Field( + default=None, description="MCP session ID (generated if not provided)" + ) + env_vars: list[EnvVar] = Field( + default_factory=lambda: [ + EnvVar( + name="AGENT_HANDLER_API_KEY", + description="Production API key for Agent Handler services", + required=True, + ), + ] + ) + + def model_post_init(self, __context: Any) -> None: + """Initialize session ID if not provided.""" + super().model_post_init(__context) + if self.session_id is None: + self.session_id = str(uuid4()) + + def _get_api_key(self) -> str: + """Get the API key from environment variables.""" + import os + + api_key = os.environ.get("AGENT_HANDLER_API_KEY") + if not api_key: + raise MergeAgentHandlerToolError( + "AGENT_HANDLER_API_KEY environment variable is required. " + "Set it with: export AGENT_HANDLER_API_KEY='your-key-here'" + ) + return api_key + + def _make_mcp_request( + self, method: str, params: dict[str, Any] | None = None + ) -> dict[str, Any]: + """Make a JSON-RPC 2.0 MCP request to Agent Handler.""" + url = f"{self.base_url}/api/v1/tool-packs/{self.tool_pack_id}/registered-users/{self.registered_user_id}/mcp" + + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {self._get_api_key()}", + "Mcp-Session-Id": self.session_id or str(uuid4()), + } + + payload: dict[str, Any] = { + "jsonrpc": "2.0", + "method": method, + "id": str(uuid4()), + } + + if params: + payload["params"] = params + + # Log the full payload for debugging + logger.debug(f"MCP Request to {url}: {json.dumps(payload, indent=2)}") + + try: + response = requests.post(url, json=payload, headers=headers, timeout=60) + response.raise_for_status() + result = response.json() + + # Handle JSON-RPC error responses + if "error" in result: + error_msg = result["error"].get("message", "Unknown error") + error_code = result["error"].get("code", -1) + logger.error( + f"Agent Handler API error (code {error_code}): {error_msg}" + ) + raise MergeAgentHandlerToolError(f"API Error: {error_msg}") + + return result + + except requests.exceptions.RequestException as e: + logger.error(f"Failed to call Agent Handler API: {e!s}") + raise MergeAgentHandlerToolError( + f"Failed to communicate with Agent Handler API: {e!s}" + ) from e + + def _run(self, **kwargs: Any) -> Any: + """Execute the Agent Handler tool with the given arguments.""" + try: + # Log what we're about to send + logger.info(f"Executing {self.tool_name} with arguments: {kwargs}") + + # Make the tool call via MCP + result = self._make_mcp_request( + method="tools/call", + params={"name": self.tool_name, "arguments": kwargs}, + ) + + # Extract the actual result from the MCP response + if "result" in result and "content" in result["result"]: + content = result["result"]["content"] + if content and len(content) > 0: + # Parse the text content (it's JSON-encoded) + text_content = content[0].get("text", "") + try: + return json.loads(text_content) + except json.JSONDecodeError: + return text_content + + return result + + except MergeAgentHandlerToolError: + raise + except Exception as e: + logger.error(f"Unexpected error executing tool {self.tool_name}: {e!s}") + raise MergeAgentHandlerToolError(f"Tool execution failed: {e!s}") from e + + @classmethod + def from_tool_name( + cls, + tool_name: str, + tool_pack_id: str, + registered_user_id: str, + base_url: str = "https://ah-api.merge.dev", + **kwargs: Any, + ) -> te.Self: + """ + Create a MergeAgentHandlerTool from a tool name. + + Args: + tool_name: Name of the tool (e.g., "linear__create_issue") + tool_pack_id: UUID of the Tool Pack + registered_user_id: UUID of the registered user + base_url: Base URL for Agent Handler API (defaults to production) + **kwargs: Additional arguments to pass to the tool + + Returns: + MergeAgentHandlerTool instance ready to use + + Example: + >>> tool = MergeAgentHandlerTool.from_tool_name( + ... tool_name="linear__create_issue", + ... tool_pack_id="134e0111-0f67-44f6-98f0-597000290bb3", + ... registered_user_id="91b2b905-e866-40c8-8be2-efe53827a0aa" + ... ) + """ + # Create an empty args schema model (proper BaseModel subclass) + empty_args_schema = create_model(f"{tool_name.replace('__', '_').title()}Args") + + # Initialize session and get tool schema + instance = cls( + name=tool_name, + description=f"Execute {tool_name} via Agent Handler", + tool_pack_id=tool_pack_id, + registered_user_id=registered_user_id, + tool_name=tool_name, + base_url=base_url, + args_schema=empty_args_schema, # Empty schema that properly inherits from BaseModel + **kwargs, + ) + + # Try to fetch the actual tool schema from Agent Handler + try: + result = instance._make_mcp_request(method="tools/list") + if "result" in result and "tools" in result["result"]: + tools = result["result"]["tools"] + tool_schema = next( + (t for t in tools if t.get("name") == tool_name), None + ) + + if tool_schema: + instance.description = tool_schema.get( + "description", instance.description + ) + + # Convert parameters schema to Pydantic model + if "parameters" in tool_schema: + try: + params = tool_schema["parameters"] + if params.get("type") == "object" and "properties" in params: + # Build field definitions for Pydantic + fields = {} + properties = params["properties"] + required = params.get("required", []) + + for field_name, field_schema in properties.items(): + field_type = Any # Default type + field_default = ... # Required by default + + # Map JSON schema types to Python types + json_type = field_schema.get("type", "string") + if json_type == "string": + field_type = str + elif json_type == "integer": + field_type = int + elif json_type == "number": + field_type = float + elif json_type == "boolean": + field_type = bool + elif json_type == "array": + field_type = list[Any] + elif json_type == "object": + field_type = dict[str, Any] + + # Make field optional if not required + if field_name not in required: + field_type = field_type | None + field_default = None + + field_description = field_schema.get("description") + if field_description: + fields[field_name] = ( + field_type, + Field( + default=field_default, + description=field_description, + ), + ) + else: + fields[field_name] = (field_type, field_default) + + # Create the Pydantic model + if fields: + args_schema = create_model( + f"{tool_name.replace('__', '_').title()}Args", + **fields, + ) + instance.args_schema = args_schema + + except Exception as e: + logger.warning( + f"Failed to create args schema for {tool_name}: {e!s}" + ) + + except Exception as e: + logger.warning( + f"Failed to fetch tool schema for {tool_name}, using defaults: {e!s}" + ) + + return instance + + @classmethod + def from_tool_pack( + cls, + tool_pack_id: str, + registered_user_id: str, + tool_names: list[str] | None = None, + base_url: str = "https://ah-api.merge.dev", + **kwargs: Any, + ) -> list[te.Self]: + """ + Create multiple MergeAgentHandlerTool instances from a Tool Pack. + + Args: + tool_pack_id: UUID of the Tool Pack + registered_user_id: UUID or origin_id of the registered user + tool_names: Optional list of specific tool names to load. If None, loads all tools. + base_url: Base URL for Agent Handler API (defaults to production) + **kwargs: Additional arguments to pass to each tool + + Returns: + List of MergeAgentHandlerTool instances + + Example: + >>> tools = MergeAgentHandlerTool.from_tool_pack( + ... tool_pack_id="134e0111-0f67-44f6-98f0-597000290bb3", + ... registered_user_id="91b2b905-e866-40c8-8be2-efe53827a0aa", + ... tool_names=["linear__create_issue", "linear__get_issues"] + ... ) + """ + # Create a temporary instance to fetch the tool list + temp_instance = cls( + name="temp", + description="temp", + tool_pack_id=tool_pack_id, + registered_user_id=registered_user_id, + tool_name="temp", + base_url=base_url, + args_schema=BaseModel, + ) + + try: + # Fetch available tools + result = temp_instance._make_mcp_request(method="tools/list") + + if "result" not in result or "tools" not in result["result"]: + raise MergeAgentHandlerToolError( + "Failed to fetch tools from Agent Handler Tool Pack" + ) + + available_tools = result["result"]["tools"] + + # Filter tools if specific names were requested + if tool_names: + available_tools = [ + t for t in available_tools if t.get("name") in tool_names + ] + + # Check if all requested tools were found + found_names = {t.get("name") for t in available_tools} + missing_names = set(tool_names) - found_names + if missing_names: + logger.warning( + f"The following tools were not found in the Tool Pack: {missing_names}" + ) + + # Create tool instances + tools = [] + for tool_schema in available_tools: + tool_name = tool_schema.get("name") + if not tool_name: + continue + + tool = cls.from_tool_name( + tool_name=tool_name, + tool_pack_id=tool_pack_id, + registered_user_id=registered_user_id, + base_url=base_url, + **kwargs, + ) + tools.append(tool) + + return tools + + except MergeAgentHandlerToolError: + raise + except Exception as e: + logger.error(f"Failed to create tools from Tool Pack: {e!s}") + raise MergeAgentHandlerToolError(f"Failed to load Tool Pack: {e!s}") from e diff --git a/lib/crewai-tools/tests/tools/merge_agent_handler_tool_test.py b/lib/crewai-tools/tests/tools/merge_agent_handler_tool_test.py new file mode 100644 index 000000000..17bdd79fb --- /dev/null +++ b/lib/crewai-tools/tests/tools/merge_agent_handler_tool_test.py @@ -0,0 +1,490 @@ +"""Tests for MergeAgentHandlerTool.""" + +import os +from unittest.mock import Mock, patch + +import pytest + +from crewai_tools import MergeAgentHandlerTool + + +@pytest.fixture(autouse=True) +def mock_agent_handler_api_key(): + """Mock the Agent Handler API key environment variable.""" + with patch.dict(os.environ, {"AGENT_HANDLER_API_KEY": "test_key"}): + yield + + +@pytest.fixture +def mock_tool_pack_response(): + """Mock response for tools/list MCP request.""" + return { + "jsonrpc": "2.0", + "id": "test-id", + "result": { + "tools": [ + { + "name": "linear__create_issue", + "description": "Creates a new issue in Linear", + "parameters": { + "type": "object", + "properties": { + "title": { + "type": "string", + "description": "The issue title", + }, + "description": { + "type": "string", + "description": "The issue description", + }, + "priority": { + "type": "integer", + "description": "Priority level (1-4)", + }, + }, + "required": ["title"], + }, + }, + { + "name": "linear__get_issues", + "description": "Get issues from Linear", + "parameters": { + "type": "object", + "properties": { + "filter": { + "type": "object", + "description": "Filter criteria", + } + }, + }, + }, + ] + }, + } + + +@pytest.fixture +def mock_tool_execute_response(): + """Mock response for tools/call MCP request.""" + return { + "jsonrpc": "2.0", + "id": "test-id", + "result": { + "content": [ + { + "type": "text", + "text": '{"success": true, "id": "ISS-123", "title": "Test Issue"}', + } + ] + }, + } + + +def test_tool_initialization(): + """Test basic tool initialization.""" + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + ) + + assert tool.name == "test_tool" + assert "Test tool" in tool.description # Description gets formatted by BaseTool + assert tool.tool_pack_id == "test-pack-id" + assert tool.registered_user_id == "test-user-id" + assert tool.tool_name == "linear__create_issue" + assert tool.base_url == "https://ah-api.merge.dev" + assert tool.session_id is not None + + +def test_tool_initialization_with_custom_base_url(): + """Test tool initialization with custom base URL.""" + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + base_url="http://localhost:8000", + ) + + assert tool.base_url == "http://localhost:8000" + + +def test_missing_api_key(): + """Test that missing API key raises appropriate error.""" + with patch.dict(os.environ, {}, clear=True): + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + ) + + with pytest.raises(Exception) as exc_info: + tool._get_api_key() + + assert "AGENT_HANDLER_API_KEY" in str(exc_info.value) + + +@patch("requests.post") +def test_mcp_request_success(mock_post, mock_tool_pack_response): + """Test successful MCP request.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_pack_response + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + ) + + result = tool._make_mcp_request(method="tools/list") + + assert "result" in result + assert "tools" in result["result"] + assert len(result["result"]["tools"]) == 2 + + +@patch("requests.post") +def test_mcp_request_error(mock_post): + """Test MCP request with error response.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "jsonrpc": "2.0", + "id": "test-id", + "error": {"code": -32601, "message": "Method not found"}, + } + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + ) + + with pytest.raises(Exception) as exc_info: + tool._make_mcp_request(method="invalid/method") + + assert "Method not found" in str(exc_info.value) + + +@patch("requests.post") +def test_mcp_request_http_error(mock_post): + """Test MCP request with HTTP error.""" + mock_post.side_effect = Exception("Connection error") + + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + ) + + with pytest.raises(Exception) as exc_info: + tool._make_mcp_request(method="tools/list") + + assert "Connection error" in str(exc_info.value) + + +@patch("requests.post") +def test_tool_execution(mock_post, mock_tool_execute_response): + """Test tool execution via _run method.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_execute_response + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + ) + + result = tool._run(title="Test Issue", description="Test description") + + assert result["success"] is True + assert result["id"] == "ISS-123" + assert result["title"] == "Test Issue" + + +@patch("requests.post") +def test_from_tool_name(mock_post, mock_tool_pack_response): + """Test creating tool from tool name.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_pack_response + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool.from_tool_name( + tool_name="linear__create_issue", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + ) + + assert tool.name == "linear__create_issue" + assert tool.description == "Creates a new issue in Linear" + assert tool.tool_name == "linear__create_issue" + + +@patch("requests.post") +def test_from_tool_name_with_custom_base_url(mock_post, mock_tool_pack_response): + """Test creating tool from tool name with custom base URL.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_pack_response + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool.from_tool_name( + tool_name="linear__create_issue", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + base_url="http://localhost:8000", + ) + + assert tool.base_url == "http://localhost:8000" + + +@patch("requests.post") +def test_from_tool_pack_all_tools(mock_post, mock_tool_pack_response): + """Test creating all tools from a Tool Pack.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_pack_response + mock_post.return_value = mock_response + + tools = MergeAgentHandlerTool.from_tool_pack( + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + ) + + assert len(tools) == 2 + assert tools[0].name == "linear__create_issue" + assert tools[1].name == "linear__get_issues" + + +@patch("requests.post") +def test_from_tool_pack_specific_tools(mock_post, mock_tool_pack_response): + """Test creating specific tools from a Tool Pack.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_pack_response + mock_post.return_value = mock_response + + tools = MergeAgentHandlerTool.from_tool_pack( + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_names=["linear__create_issue"], + ) + + assert len(tools) == 1 + assert tools[0].name == "linear__create_issue" + + +@patch("requests.post") +def test_from_tool_pack_with_custom_base_url(mock_post, mock_tool_pack_response): + """Test creating tools from Tool Pack with custom base URL.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_pack_response + mock_post.return_value = mock_response + + tools = MergeAgentHandlerTool.from_tool_pack( + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + base_url="http://localhost:8000", + ) + + assert len(tools) == 2 + assert all(tool.base_url == "http://localhost:8000" for tool in tools) + + +@patch("requests.post") +def test_tool_execution_with_text_response(mock_post): + """Test tool execution with plain text response.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "jsonrpc": "2.0", + "id": "test-id", + "result": {"content": [{"type": "text", "text": "Plain text result"}]}, + } + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + ) + + result = tool._run(title="Test") + + assert result == "Plain text result" + + +@patch("requests.post") +def test_mcp_request_builds_correct_url(mock_post, mock_tool_pack_response): + """Test that MCP request builds correct URL.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_pack_response + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-123", + registered_user_id="user-456", + tool_name="linear__create_issue", + base_url="https://ah-api.merge.dev", + ) + + tool._make_mcp_request(method="tools/list") + + expected_url = ( + "https://ah-api.merge.dev/api/v1/tool-packs/" + "test-pack-123/registered-users/user-456/mcp" + ) + mock_post.assert_called_once() + assert mock_post.call_args[0][0] == expected_url + + +@patch("requests.post") +def test_mcp_request_includes_correct_headers(mock_post, mock_tool_pack_response): + """Test that MCP request includes correct headers.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_tool_pack_response + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__create_issue", + ) + + tool._make_mcp_request(method="tools/list") + + mock_post.assert_called_once() + headers = mock_post.call_args.kwargs["headers"] + assert headers["Content-Type"] == "application/json" + assert headers["Authorization"] == "Bearer test_key" + assert "Mcp-Session-Id" in headers + + +@patch("requests.post") +def test_tool_parameters_are_passed_in_request(mock_post): + """Test that tool parameters are correctly included in the MCP request.""" + mock_response = Mock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "jsonrpc": "2.0", + "id": "test-id", + "result": {"content": [{"type": "text", "text": '{"success": true}'}]}, + } + mock_post.return_value = mock_response + + tool = MergeAgentHandlerTool( + name="test_tool", + description="Test tool", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + tool_name="linear__update_issue", + ) + + # Execute tool with specific parameters + tool._run(id="issue-123", title="New Title", priority=1) + + # Verify the request was made + mock_post.assert_called_once() + + # Get the JSON payload that was sent + payload = mock_post.call_args.kwargs["json"] + + # Verify MCP structure + assert payload["jsonrpc"] == "2.0" + assert payload["method"] == "tools/call" + assert "id" in payload + + # Verify parameters are in the request + assert "params" in payload + assert payload["params"]["name"] == "linear__update_issue" + assert "arguments" in payload["params"] + + # Verify the actual arguments were passed + arguments = payload["params"]["arguments"] + assert arguments["id"] == "issue-123" + assert arguments["title"] == "New Title" + assert arguments["priority"] == 1 + + +@patch("requests.post") +def test_tool_run_method_passes_parameters(mock_post, mock_tool_pack_response): + """Test that parameters are passed when using the .run() method (how CrewAI calls it).""" + # Mock the tools/list response + mock_response = Mock() + mock_response.status_code = 200 + + # First call: tools/list + # Second call: tools/call + mock_response.json.side_effect = [ + mock_tool_pack_response, # tools/list response + { + "jsonrpc": "2.0", + "id": "test-id", + "result": {"content": [{"type": "text", "text": '{"success": true, "id": "issue-123"}'}]}, + }, # tools/call response + ] + mock_post.return_value = mock_response + + # Create tool using from_tool_name (which fetches schema) + tool = MergeAgentHandlerTool.from_tool_name( + tool_name="linear__create_issue", + tool_pack_id="test-pack-id", + registered_user_id="test-user-id", + ) + + # Call using .run() method (this is how CrewAI invokes tools) + result = tool.run(title="Test Issue", description="Test description", priority=2) + + # Verify two calls were made: tools/list and tools/call + assert mock_post.call_count == 2 + + # Get the second call (tools/call) + second_call = mock_post.call_args_list[1] + payload = second_call.kwargs["json"] + + # Verify it's a tools/call request + assert payload["method"] == "tools/call" + assert payload["params"]["name"] == "linear__create_issue" + + # Verify parameters were passed + arguments = payload["params"]["arguments"] + assert arguments["title"] == "Test Issue" + assert arguments["description"] == "Test description" + assert arguments["priority"] == 2 + + # Verify result was returned + assert result["success"] is True + assert result["id"] == "issue-123" + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) From a559cedbd1c0d6100bbe5f5118635e353a0a4da1 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Mon, 24 Nov 2025 12:29:11 -0500 Subject: [PATCH 06/19] chore: ensure proper cassettes for agent tests * chore: ensure proper cassettes for agent tests * chore: tweak eval test to avoid race condition --- lib/crewai/tests/agents/test_agent.py | 37 +- .../test_agent_execute_task_with_tool.yaml | 434 ++-- .../test_agent_repeated_tool_usage.yaml | 1034 +++----- .../tests/cassettes/test_cache_hitting.yaml | 2220 +++++++++-------- .../evaluation/test_agent_evaluator.py | 22 +- 5 files changed, 1831 insertions(+), 1916 deletions(-) diff --git a/lib/crewai/tests/agents/test_agent.py b/lib/crewai/tests/agents/test_agent.py index 5bc9f3421..977db03db 100644 --- a/lib/crewai/tests/agents/test_agent.py +++ b/lib/crewai/tests/agents/test_agent.py @@ -307,27 +307,22 @@ def test_cache_hitting(): event_handled = True condition.notify() - with ( - patch.object(CacheHandler, "read") as read, - ): - read.return_value = "0" - task = Task( - description="What is 2 times 6? Ignore correctness and just return the result of the multiplication tool, you must use the tool.", - agent=agent, - expected_output="The number that is the result of the multiplication tool.", - ) - output = agent.execute_task(task) - assert output == "0" - read.assert_called_with( - tool="multiplier", input='{"first_number": 2, "second_number": 6}' - ) - with condition: - if not event_handled: - condition.wait(timeout=5) - assert event_handled, "Timeout waiting for tool usage event" - assert len(received_events) == 1 - assert isinstance(received_events[0], ToolUsageFinishedEvent) - assert received_events[0].from_cache + task = Task( + description="What is 2 times 6? Return only the result of the multiplication.", + agent=agent, + expected_output="The result of the multiplication.", + ) + output = agent.execute_task(task) + assert output == "12" + + with condition: + if not event_handled: + condition.wait(timeout=5) + assert event_handled, "Timeout waiting for tool usage event" + assert len(received_events) == 1 + assert isinstance(received_events[0], ToolUsageFinishedEvent) + assert received_events[0].from_cache + assert received_events[0].output == "12" @pytest.mark.vcr(filter_headers=["authorization"]) diff --git a/lib/crewai/tests/cassettes/test_agent_execute_task_with_tool.yaml b/lib/crewai/tests/cassettes/test_agent_execute_task_with_tool.yaml index a36161061..c60f1d852 100644 --- a/lib/crewai/tests/cassettes/test_agent_execute_task_with_tool.yaml +++ b/lib/crewai/tests/cassettes/test_agent_execute_task_with_tool.yaml @@ -1,23 +1,22 @@ interactions: - request: - body: '{"messages": [{"role": "system", "content": "You are test role. test backstory\nYour + body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour personal goal is: test goal\nYou ONLY have access to the following tools, and should NEVER make up tools that are not listed here:\n\nTool Name: dummy_tool\nTool Arguments: {''query'': {''description'': None, ''type'': ''str''}}\nTool Description: - Useful for when you need to get a dummy result for a query.\n\nUse the following - format:\n\nThought: you should always think about what to do\nAction: the action - to take, only one name of [dummy_tool], 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"}, {"role": "user", "content": "\nCurrent Task: Use the dummy tool - to get a result for ''test query''\n\nThis is the expect criteria for your final - answer: The result from the dummy tool\nyou MUST return the actual complete - content as the final answer, not a summary.\n\nBegin! 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This + is VERY important to you, use the tools available and give your best Final Answer, + your job depends on it!\n\nThought:"}],"model":"gpt-3.5-turbo"}' headers: accept: - application/json @@ -26,13 +25,13 @@ interactions: connection: - keep-alive content-length: - - '1363' + - '1381' content-type: - application/json host: - api.openai.com user-agent: - - OpenAI/Python 1.52.1 + - OpenAI/Python 1.109.1 x-stainless-arch: - arm64 x-stainless-async: @@ -42,35 +41,33 @@ interactions: x-stainless-os: - MacOS x-stainless-package-version: - - 1.52.1 - x-stainless-raw-response: - - 'true' + - 1.109.1 + x-stainless-read-timeout: + - '600' x-stainless-retry-count: - '0' x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.7 + - 3.12.10 method: POST uri: https://api.openai.com/v1/chat/completions response: - content: "{\n \"id\": \"chatcmpl-AmjTkjHtNtJfKGo6wS35grXEzfoqv\",\n \"object\": - \"chat.completion\",\n \"created\": 1736177928,\n \"model\": \"gpt-3.5-turbo-0125\",\n - \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"I should use the dummy tool to get a - result for the 'test query'.\\n\\nAction: dummy_tool\\nAction Input: {\\\"query\\\": - \\\"test query\\\"}\",\n \"refusal\": null\n },\n \"logprobs\": - null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 271,\n \"completion_tokens\": 31,\n \"total_tokens\": 302,\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 \"system_fingerprint\": - null\n}\n" + body: + string: !!binary | + H4sIAAAAAAAAA4xTwW4TMRC95ytGvvSSVGlDWthbqYSIECAQSFRstXK8s7tuvR5jj5uGKv+O7CTd + FAriYtnz5j2/8YwfRgBC16IAoTrJqndmctl8ff3tJsxWd29vLu/7d1eXnz4vfq7cVft+1ohxYtDy + BhXvWceKemeQNdktrDxKxqR6cn72YjqdzU/mGeipRpNorePJ7Hg+4eiXNJmenM53zI60wiAK+D4C + AHjIa/Joa7wXBUzH+0iPIcgWRfGYBCA8mRQRMgQdWFoW4wFUZBlttr2A0FE0NcSAwB1CHft+XTGR + ASZokUGCxxANQ0M+pxwxBoYfEf366Li0FyoVXBww9zFYWBe5gIdS5OxS5H2NQXntUkaKfCCLYygF + rx2mcykC+1JsNqX9uAzo7+RW/8veHWR3nQzgkaO3WIPcIf92WtovHcW24wIWYGkFt2lJiY220oC0 + YYW+tG/y6SKftvfudT31wytlH4fv6rGJQaa+2mjMASCtJc5l5I5e75DNYw8Ntc7TMvxGFY22OnSV + RxnIpn4FJicyuhkBXOdZiU/aL5yn3nHFdIv5utOXr7Z6YhjPAT2f7UAmlmaIz85Ox8/oVTWy1CYc + TJtQUnVYD9RhNGWsNR0Ao4Oq/3TznPa2cm3b/5EfAKXQMdaV81hr9bTiIc1j+r1/S3t85WxYpEnU + CivW6FMnamxkNNt/JcI6MPZVo22L3nmdP1fq5Ggz+gUAAP//AwDDsh2ZWwQAAA== headers: - CF-Cache-Status: - - DYNAMIC CF-RAY: - - 8fdccc13af387bb2-ATL + - 9a3a73adce2d43c2-EWR Connection: - keep-alive Content-Encoding: @@ -78,15 +75,17 @@ interactions: Content-Type: - application/json Date: - - Mon, 06 Jan 2025 15:38:48 GMT + - Mon, 24 Nov 2025 16:58:36 GMT Server: - cloudflare Set-Cookie: - - __cf_bm=PdbRW9vzO7559czIqn0xmXQjbN8_vV_J7k1DlkB4d_Y-1736177928-1.0.1.1-7yNcyljwqHI.TVflr9ZnkS705G.K5hgPbHpxRzcO3ZMFi5lHCBPs_KB5pFE043wYzPmDIHpn6fu6jIY9mlNoLQ; 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This + is VERY important to you, use the tools available and give your best Final Answer, + your job depends on it!\n\nThought:"},{"role":"assistant","content":"I should + use the dummy_tool to get a result for the ''test query''.\nAction: dummy_tool\nAction + Input: {\"query\": {\"description\": None, \"type\": \"str\"}}\nObservation: + \nI encountered an error while trying to use the tool. This was the error: Arguments + validation failed: 1 validation error for Dummy_Tool\nquery\n Input should + be a valid string [type=string_type, input_value={''description'': ''None'', + ''type'': ''str''}, input_type=dict]\n For further information visit https://errors.pydantic.dev/2.12/v/string_type.\n + Tool dummy_tool accepts these inputs: Tool Name: dummy_tool\nTool Arguments: + {''query'': {''description'': None, ''type'': ''str''}}\nTool Description: Useful + for when you need to get a dummy result for a query..\nMoving on then. I MUST + either use a tool (use one at time) OR give my best final answer not both at + the same time. When responding, I must use the following format:\n\n```\nThought: + you should always think about what to do\nAction: the action to take, should + be one of [dummy_tool]\nAction Input: the input to the action, dictionary enclosed + in curly braces\nObservation: the result of the action\n```\nThis Thought/Action/Action + Input/Result can repeat N times. Once I know the final answer, I must return + the following format:\n\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\n```"}],"model":"gpt-3.5-turbo"}' headers: accept: - application/json @@ -148,16 +169,16 @@ interactions: connection: - keep-alive content-length: - - '1574' + - '2841' content-type: - application/json cookie: - - __cf_bm=PdbRW9vzO7559czIqn0xmXQjbN8_vV_J7k1DlkB4d_Y-1736177928-1.0.1.1-7yNcyljwqHI.TVflr9ZnkS705G.K5hgPbHpxRzcO3ZMFi5lHCBPs_KB5pFE043wYzPmDIHpn6fu6jIY9mlNoLQ; - _cfuvid=lOOz0FbrrPaRb4IFEeHNcj7QghHzxI1tTV2N0jD9icA-1736177928767-0.0.1.1-604800000 + - __cf_bm=Xa8khOM9zEqqwwmzvZrdS.nMU9nW06e0gk4Xg8ga5BI-1764003516-1.0.1.1-mR_vAWrgEyaykpsxgHq76VhaNTOdAWeNJweR1bmH1wVJgzoE0fuSPEKZMJy9Uon.1KBTV3yJVxLvQ4PjPLuE30IUdwY9Lrfbz.Rhb6UVbwY; + _cfuvid=GP8hWglm1PiEe8AjYsdeCiIUtkA7483Hr9Ws4AZWe5U-1764003516772-0.0.1.1-604800000 host: - api.openai.com user-agent: - - OpenAI/Python 1.52.1 + - OpenAI/Python 1.109.1 x-stainless-arch: - arm64 x-stainless-async: @@ -167,34 +188,34 @@ interactions: x-stainless-os: - MacOS x-stainless-package-version: - - 1.52.1 - x-stainless-raw-response: - - 'true' + - 1.109.1 + x-stainless-read-timeout: + - '600' x-stainless-retry-count: - '0' x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.12.7 + - 3.12.10 method: POST uri: https://api.openai.com/v1/chat/completions response: - content: "{\n \"id\": \"chatcmpl-AmjTkjtDnt98YQ3k4y71C523EQM9p\",\n \"object\": - \"chat.completion\",\n \"created\": 1736177928,\n \"model\": \"gpt-3.5-turbo-0125\",\n - \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Final Answer: Dummy result for: test - query\",\n \"refusal\": null\n },\n \"logprobs\": null,\n \"finish_reason\": - \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": 315,\n \"completion_tokens\": - 9,\n \"total_tokens\": 324,\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 \"system_fingerprint\": - null\n}\n" + body: + string: !!binary | + H4sIAAAAAAAAAwAAAP//pFPbahsxEH33Vwx6yYtt7LhO0n1LWgomlFKaFko3LLJ2dletdrSRRklN + 8L8HyZdd9wKFvgikM2cuOmeeRwBClyIDoRrJqu3M5E31+UaeL+ct335c3Ty8/frFLW5vF6G9dNfv + xTgy7Po7Kj6wpsq2nUHWlnawcigZY9b55cWr2WyxnF8loLUlmkirO54spssJB7e2k9n8fLlnNlYr + 9CKDbyMAgOd0xh6pxJ8ig9n48NKi97JGkR2DAISzJr4I6b32LInFuAeVJUZKbd81NtQNZ7CCJ20M + KOscKgZuEDR1gaGyrpUMkkpgt4HgNdUJLkPbbgq21oCspaZpTtcqzp4NoMMbrGKyDJ5z8RDQbXKR + QS4YPcP+vs3pw9qje5S7HDndNQgOfTAMlbNtXxRSUe0z+BSUQu+rYMwG7JqlJixB7sMOZOsS96wv + dzbNKRY4Dk/2CZQkqPUjgoQ6CgeS/BO6nN5pkgau0+0/ag4lcFgFL6MFKBgzACSR5fQFSfz7PbI9 + ym1s3Tm79r9QRaVJ+6ZwKL2lKK1n24mEbkcA98lW4cQponO27bhg+wNTuYvzva1E7+Qevbzag2xZ + mgHr9QE4yVeUyFIbPzCmUFI1WPbU3sUylNoOgNFg6t+7+VPu3eSa6n9J3wNKYcdYFp3DUqvTifsw + h3HR/xZ2/OXUsIgu1goL1uiiEiVWMpjdCgq/8YxtUWmq0XVOpz2MSo62oxcAAAD//wMA+UmELoYE + AAA= headers: - CF-Cache-Status: - - DYNAMIC CF-RAY: - - 8fdccc171b647bb2-ATL + - 9a3a73bbf9d943c2-EWR Connection: - keep-alive Content-Encoding: @@ -202,9 +223,11 @@ interactions: Content-Type: - application/json Date: - - Mon, 06 Jan 2025 15:38:49 GMT + - Mon, 24 Nov 2025 16:58:39 GMT Server: - cloudflare + Strict-Transport-Security: + - max-age=31536000; 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This + is VERY important to you, use the tools available and give your best Final Answer, + your job depends on it!\n\nThought:"},{"role":"assistant","content":"I should + use the dummy_tool to get a result for the ''test query''.\nAction: dummy_tool\nAction + Input: {\"query\": {\"description\": None, \"type\": \"str\"}}\nObservation: + \nI encountered an error while trying to use the tool. This was the error: Arguments + validation failed: 1 validation error for Dummy_Tool\nquery\n Input should + be a valid string [type=string_type, input_value={''description'': ''None'', + ''type'': ''str''}, input_type=dict]\n For further information visit https://errors.pydantic.dev/2.12/v/string_type.\n + Tool dummy_tool accepts these inputs: Tool Name: dummy_tool\nTool Arguments: + {''query'': {''description'': None, ''type'': ''str''}}\nTool Description: Useful + for when you need to get a dummy result for a query..\nMoving on then. 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However, I have been instructed + to use the `get_final_answer` tool and not to give the final answer until instructed.\nAction: + get_final_answer\nAction Input: {}\nObservation: 42"},{"role":"assistant","content":"Thought: + I have observed the output of the `get_final_answer` to be 42, which matches + the final answer given in the task. I am supposed to continue using the tool.\nAction: get_final_answer\nAction Input: {}\nObservation: I tried reusing the same input, - I must stop using this action input. I''ll try something else instead."}, {"role": - "assistant", "content": "Thought: Given that I can only get the final answer, - but I must not give it yet, I will continue to use the ''get_final_answer'' - tool.\n\nAction: get_final_answer\nAction Input: {}\nObservation: I tried reusing - the same input, I must stop using this action input. 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I''ll try something else instead.\n\n\n\n\nYou ONLY have access - to the following tools, and should NEVER make up tools that are not listed here:\n\nTool - Name: get_final_answer\nTool Arguments: {}\nTool Description: Get the final - answer but don''t give it yet, just re-use this\n tool non-stop.\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 [get_final_answer], - 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": "assistant", "content": "I tried reusing the same input, I must stop - using this action input. 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However, I have been instructed + to use the `get_final_answer` tool and not to give the final answer until instructed.\nAction: + get_final_answer\nAction Input: {}\nObservation: 42"},{"role":"assistant","content":"Thought: + I have observed the output of the `get_final_answer` to be 42, which matches + the final answer given in the task. I am supposed to continue using the tool.\nAction: get_final_answer\nAction Input: {}\nObservation: I tried reusing the same input, - I must stop using this action input. I''ll try something else instead."}, {"role": - "assistant", "content": "Thought: Given that I can only get the final answer, - but I must not give it yet, I will continue to use the ''get_final_answer'' - tool.\n\nAction: get_final_answer\nAction Input: {}\nObservation: I tried reusing - the same input, I must stop using this action input. 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0s + x-ratelimit-reset-requests: + - 2ms + x-ratelimit-reset-tokens: + - 0s + x-request-id: + - req_REDACTED + status: + code: 200 + message: OK version: 1 diff --git a/lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py b/lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py index 2f9d68261..f95372aca 100644 --- a/lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py +++ b/lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py @@ -128,8 +128,6 @@ class TestAgentEvaluator: @pytest.mark.vcr(filter_headers=["authorization"]) def test_eval_specific_agents_from_crew(self, mock_crew): - from crewai.events.types.task_events import TaskCompletedEvent - agent = Agent( role="Test Agent Eval", goal="Complete test tasks successfully", @@ -145,7 +143,7 @@ class TestAgentEvaluator: events = {} results_condition = threading.Condition() - results_ready = False + completed_event_received = False agent_evaluator = AgentEvaluator( agents=[agent], evaluators=[GoalAlignmentEvaluator()] @@ -158,29 +156,23 @@ class TestAgentEvaluator: @crewai_event_bus.on(AgentEvaluationCompletedEvent) async def capture_completed(source, event): + nonlocal completed_event_received if event.agent_id == str(agent.id): events["completed"] = event + with results_condition: + completed_event_received = True + results_condition.notify() @crewai_event_bus.on(AgentEvaluationFailedEvent) def capture_failed(source, event): events["failed"] = event - @crewai_event_bus.on(TaskCompletedEvent) - async def on_task_completed(source, event): - nonlocal results_ready - if event.task and event.task.id == task.id: - while not agent_evaluator.get_evaluation_results().get(agent.role): - pass - with results_condition: - results_ready = True - results_condition.notify() - mock_crew.kickoff() with results_condition: assert results_condition.wait_for( - lambda: results_ready, timeout=5 - ), "Timeout waiting for evaluation results" + lambda: completed_event_received, timeout=5 + ), "Timeout waiting for evaluation completed event" assert events.keys() == {"started", "completed"} assert events["started"].agent_id == str(agent.id) From 9da1f0c0aa0a738af470e79959887b0a569e26c0 Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Mon, 24 Nov 2025 12:50:18 -0500 Subject: [PATCH 07/19] fix: ensure flow execution start panel is not shown on plot --- .../src/crewai/events/event_listener.py | 181 +++++++++++------- 1 file changed, 108 insertions(+), 73 deletions(-) diff --git a/lib/crewai/src/crewai/events/event_listener.py b/lib/crewai/src/crewai/events/event_listener.py index e07ee193c..5cd190cf6 100644 --- a/lib/crewai/src/crewai/events/event_listener.py +++ b/lib/crewai/src/crewai/events/event_listener.py @@ -101,24 +101,25 @@ if TYPE_CHECKING: class EventListener(BaseEventListener): - _instance = None + _instance: EventListener | None = None + _initialized: bool = False _telemetry: Telemetry = PrivateAttr(default_factory=lambda: Telemetry()) - logger = Logger(verbose=True, default_color=EMITTER_COLOR) + logger: Logger = Logger(verbose=True, default_color=EMITTER_COLOR) execution_spans: dict[Task, Any] = Field(default_factory=dict) - next_chunk = 0 - text_stream = StringIO() - knowledge_retrieval_in_progress = False - knowledge_query_in_progress = False + next_chunk: int = 0 + text_stream: StringIO = StringIO() + knowledge_retrieval_in_progress: bool = False + knowledge_query_in_progress: bool = False method_branches: dict[str, Any] = Field(default_factory=dict) - def __new__(cls): + def __new__(cls) -> EventListener: if cls._instance is None: cls._instance = super().__new__(cls) cls._instance._initialized = False return cls._instance - def __init__(self): - if not hasattr(self, "_initialized") or not self._initialized: + def __init__(self) -> None: + if not self._initialized: super().__init__() self._telemetry = Telemetry() self._telemetry.set_tracer() @@ -136,14 +137,14 @@ class EventListener(BaseEventListener): def setup_listeners(self, crewai_event_bus: CrewAIEventsBus) -> None: @crewai_event_bus.on(CrewKickoffStartedEvent) - def on_crew_started(source, event: CrewKickoffStartedEvent) -> None: + def on_crew_started(source: Any, event: CrewKickoffStartedEvent) -> None: with self._crew_tree_lock: self.formatter.create_crew_tree(event.crew_name or "Crew", source.id) self._telemetry.crew_execution_span(source, event.inputs) self._crew_tree_lock.notify_all() @crewai_event_bus.on(CrewKickoffCompletedEvent) - def on_crew_completed(source, event: CrewKickoffCompletedEvent) -> None: + def on_crew_completed(source: Any, event: CrewKickoffCompletedEvent) -> None: # Handle telemetry final_string_output = event.output.raw self._telemetry.end_crew(source, final_string_output) @@ -157,7 +158,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(CrewKickoffFailedEvent) - def on_crew_failed(source, event: CrewKickoffFailedEvent) -> None: + def on_crew_failed(source: Any, event: CrewKickoffFailedEvent) -> None: self.formatter.update_crew_tree( self.formatter.current_crew_tree, event.crew_name or "Crew", @@ -166,23 +167,23 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(CrewTrainStartedEvent) - def on_crew_train_started(source, event: CrewTrainStartedEvent) -> None: + def on_crew_train_started(_: Any, event: CrewTrainStartedEvent) -> None: self.formatter.handle_crew_train_started( event.crew_name or "Crew", str(event.timestamp) ) @crewai_event_bus.on(CrewTrainCompletedEvent) - def on_crew_train_completed(source, event: CrewTrainCompletedEvent) -> None: + def on_crew_train_completed(_: Any, event: CrewTrainCompletedEvent) -> None: self.formatter.handle_crew_train_completed( event.crew_name or "Crew", str(event.timestamp) ) @crewai_event_bus.on(CrewTrainFailedEvent) - def on_crew_train_failed(source, event: CrewTrainFailedEvent) -> None: + def on_crew_train_failed(_: Any, event: CrewTrainFailedEvent) -> None: self.formatter.handle_crew_train_failed(event.crew_name or "Crew") @crewai_event_bus.on(CrewTestResultEvent) - def on_crew_test_result(source, event: CrewTestResultEvent) -> None: + def on_crew_test_result(source: Any, event: CrewTestResultEvent) -> None: self._telemetry.individual_test_result_span( source.crew, event.quality, @@ -193,7 +194,7 @@ class EventListener(BaseEventListener): # ----------- TASK EVENTS ----------- @crewai_event_bus.on(TaskStartedEvent) - def on_task_started(source, event: TaskStartedEvent) -> None: + def on_task_started(source: Any, event: TaskStartedEvent) -> None: span = self._telemetry.task_started(crew=source.agent.crew, task=source) self.execution_spans[source] = span @@ -211,7 +212,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(TaskCompletedEvent) - def on_task_completed(source, event: TaskCompletedEvent): + def on_task_completed(source: Any, event: TaskCompletedEvent) -> None: # Handle telemetry span = self.execution_spans.get(source) if span: @@ -229,7 +230,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(TaskFailedEvent) - def on_task_failed(source, event: TaskFailedEvent): + def on_task_failed(source: Any, event: TaskFailedEvent) -> None: span = self.execution_spans.get(source) if span: if source.agent and source.agent.crew: @@ -249,7 +250,9 @@ class EventListener(BaseEventListener): # ----------- AGENT EVENTS ----------- @crewai_event_bus.on(AgentExecutionStartedEvent) - def on_agent_execution_started(source, event: AgentExecutionStartedEvent): + def on_agent_execution_started( + _: Any, event: AgentExecutionStartedEvent + ) -> None: self.formatter.create_agent_branch( self.formatter.current_task_branch, event.agent.role, @@ -257,7 +260,9 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(AgentExecutionCompletedEvent) - def on_agent_execution_completed(source, event: AgentExecutionCompletedEvent): + def on_agent_execution_completed( + _: Any, event: AgentExecutionCompletedEvent + ) -> None: self.formatter.update_agent_status( self.formatter.current_agent_branch, event.agent.role, @@ -268,8 +273,8 @@ class EventListener(BaseEventListener): @crewai_event_bus.on(LiteAgentExecutionStartedEvent) def on_lite_agent_execution_started( - source, event: LiteAgentExecutionStartedEvent - ): + _: Any, event: LiteAgentExecutionStartedEvent + ) -> None: """Handle LiteAgent execution started event.""" self.formatter.handle_lite_agent_execution( event.agent_info["role"], status="started", **event.agent_info @@ -277,15 +282,17 @@ class EventListener(BaseEventListener): @crewai_event_bus.on(LiteAgentExecutionCompletedEvent) def on_lite_agent_execution_completed( - source, event: LiteAgentExecutionCompletedEvent - ): + _: Any, event: LiteAgentExecutionCompletedEvent + ) -> None: """Handle LiteAgent execution completed event.""" self.formatter.handle_lite_agent_execution( event.agent_info["role"], status="completed", **event.agent_info ) @crewai_event_bus.on(LiteAgentExecutionErrorEvent) - def on_lite_agent_execution_error(source, event: LiteAgentExecutionErrorEvent): + def on_lite_agent_execution_error( + _: Any, event: LiteAgentExecutionErrorEvent + ) -> None: """Handle LiteAgent execution error event.""" self.formatter.handle_lite_agent_execution( event.agent_info["role"], @@ -297,26 +304,28 @@ class EventListener(BaseEventListener): # ----------- FLOW EVENTS ----------- @crewai_event_bus.on(FlowCreatedEvent) - def on_flow_created(source, event: FlowCreatedEvent): + def on_flow_created(_: Any, event: FlowCreatedEvent) -> None: self._telemetry.flow_creation_span(event.flow_name) - tree = self.formatter.create_flow_tree(event.flow_name, str(source.flow_id)) - self.formatter.current_flow_tree = tree @crewai_event_bus.on(FlowStartedEvent) - def on_flow_started(source, event: FlowStartedEvent): + def on_flow_started(source: Any, event: FlowStartedEvent) -> None: self._telemetry.flow_execution_span( event.flow_name, list(source._methods.keys()) ) + tree = self.formatter.create_flow_tree(event.flow_name, str(source.flow_id)) + self.formatter.current_flow_tree = tree self.formatter.start_flow(event.flow_name, str(source.flow_id)) @crewai_event_bus.on(FlowFinishedEvent) - def on_flow_finished(source, event: FlowFinishedEvent): + def on_flow_finished(source: Any, event: FlowFinishedEvent) -> None: self.formatter.update_flow_status( self.formatter.current_flow_tree, event.flow_name, source.flow_id ) @crewai_event_bus.on(MethodExecutionStartedEvent) - def on_method_execution_started(source, event: MethodExecutionStartedEvent): + def on_method_execution_started( + _: Any, event: MethodExecutionStartedEvent + ) -> None: method_branch = self.method_branches.get(event.method_name) updated_branch = self.formatter.update_method_status( method_branch, @@ -327,7 +336,9 @@ class EventListener(BaseEventListener): self.method_branches[event.method_name] = updated_branch @crewai_event_bus.on(MethodExecutionFinishedEvent) - def on_method_execution_finished(source, event: MethodExecutionFinishedEvent): + def on_method_execution_finished( + _: Any, event: MethodExecutionFinishedEvent + ) -> None: method_branch = self.method_branches.get(event.method_name) updated_branch = self.formatter.update_method_status( method_branch, @@ -338,7 +349,9 @@ class EventListener(BaseEventListener): self.method_branches[event.method_name] = updated_branch @crewai_event_bus.on(MethodExecutionFailedEvent) - def on_method_execution_failed(source, event: MethodExecutionFailedEvent): + def on_method_execution_failed( + _: Any, event: MethodExecutionFailedEvent + ) -> None: method_branch = self.method_branches.get(event.method_name) updated_branch = self.formatter.update_method_status( method_branch, @@ -351,7 +364,7 @@ class EventListener(BaseEventListener): # ----------- TOOL USAGE EVENTS ----------- @crewai_event_bus.on(ToolUsageStartedEvent) - def on_tool_usage_started(source, event: ToolUsageStartedEvent): + def on_tool_usage_started(source: Any, event: ToolUsageStartedEvent) -> None: if isinstance(source, LLM): self.formatter.handle_llm_tool_usage_started( event.tool_name, @@ -365,7 +378,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(ToolUsageFinishedEvent) - def on_tool_usage_finished(source, event: ToolUsageFinishedEvent): + def on_tool_usage_finished(source: Any, event: ToolUsageFinishedEvent) -> None: if isinstance(source, LLM): self.formatter.handle_llm_tool_usage_finished( event.tool_name, @@ -378,7 +391,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(ToolUsageErrorEvent) - def on_tool_usage_error(source, event: ToolUsageErrorEvent): + def on_tool_usage_error(source: Any, event: ToolUsageErrorEvent) -> None: if isinstance(source, LLM): self.formatter.handle_llm_tool_usage_error( event.tool_name, @@ -395,7 +408,7 @@ class EventListener(BaseEventListener): # ----------- LLM EVENTS ----------- @crewai_event_bus.on(LLMCallStartedEvent) - def on_llm_call_started(source, event: LLMCallStartedEvent): + def on_llm_call_started(_: Any, event: LLMCallStartedEvent) -> None: # Capture the returned tool branch and update the current_tool_branch reference thinking_branch = self.formatter.handle_llm_call_started( self.formatter.current_agent_branch, @@ -406,7 +419,7 @@ class EventListener(BaseEventListener): self.formatter.current_tool_branch = thinking_branch @crewai_event_bus.on(LLMCallCompletedEvent) - def on_llm_call_completed(source, event: LLMCallCompletedEvent): + def on_llm_call_completed(_: Any, event: LLMCallCompletedEvent) -> None: self.formatter.handle_llm_call_completed( self.formatter.current_tool_branch, self.formatter.current_agent_branch, @@ -414,7 +427,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(LLMCallFailedEvent) - def on_llm_call_failed(source, event: LLMCallFailedEvent): + def on_llm_call_failed(_: Any, event: LLMCallFailedEvent) -> None: self.formatter.handle_llm_call_failed( self.formatter.current_tool_branch, event.error, @@ -422,7 +435,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(LLMStreamChunkEvent) - def on_llm_stream_chunk(source, event: LLMStreamChunkEvent): + def on_llm_stream_chunk(_: Any, event: LLMStreamChunkEvent) -> None: self.text_stream.write(event.chunk) self.text_stream.seek(self.next_chunk) self.text_stream.read() @@ -431,7 +444,7 @@ class EventListener(BaseEventListener): # ----------- LLM GUARDRAIL EVENTS ----------- @crewai_event_bus.on(LLMGuardrailStartedEvent) - def on_llm_guardrail_started(source, event: LLMGuardrailStartedEvent): + def on_llm_guardrail_started(_: Any, event: LLMGuardrailStartedEvent) -> None: guardrail_str = str(event.guardrail) guardrail_name = ( guardrail_str[:50] + "..." if len(guardrail_str) > 50 else guardrail_str @@ -440,13 +453,15 @@ class EventListener(BaseEventListener): self.formatter.handle_guardrail_started(guardrail_name, event.retry_count) @crewai_event_bus.on(LLMGuardrailCompletedEvent) - def on_llm_guardrail_completed(source, event: LLMGuardrailCompletedEvent): + def on_llm_guardrail_completed( + _: Any, event: LLMGuardrailCompletedEvent + ) -> None: self.formatter.handle_guardrail_completed( event.success, event.error, event.retry_count ) @crewai_event_bus.on(CrewTestStartedEvent) - def on_crew_test_started(source, event: CrewTestStartedEvent): + def on_crew_test_started(source: Any, event: CrewTestStartedEvent) -> None: cloned_crew = source.copy() self._telemetry.test_execution_span( cloned_crew, @@ -460,20 +475,20 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(CrewTestCompletedEvent) - def on_crew_test_completed(source, event: CrewTestCompletedEvent): + def on_crew_test_completed(_: Any, event: CrewTestCompletedEvent) -> None: self.formatter.handle_crew_test_completed( self.formatter.current_flow_tree, event.crew_name or "Crew", ) @crewai_event_bus.on(CrewTestFailedEvent) - def on_crew_test_failed(source, event: CrewTestFailedEvent): + def on_crew_test_failed(_: Any, event: CrewTestFailedEvent) -> None: self.formatter.handle_crew_test_failed(event.crew_name or "Crew") @crewai_event_bus.on(KnowledgeRetrievalStartedEvent) def on_knowledge_retrieval_started( - source, event: KnowledgeRetrievalStartedEvent - ): + _: Any, event: KnowledgeRetrievalStartedEvent + ) -> None: if self.knowledge_retrieval_in_progress: return @@ -486,8 +501,8 @@ class EventListener(BaseEventListener): @crewai_event_bus.on(KnowledgeRetrievalCompletedEvent) def on_knowledge_retrieval_completed( - source, event: KnowledgeRetrievalCompletedEvent - ): + _: Any, event: KnowledgeRetrievalCompletedEvent + ) -> None: if not self.knowledge_retrieval_in_progress: return @@ -499,11 +514,13 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(KnowledgeQueryStartedEvent) - def on_knowledge_query_started(source, event: KnowledgeQueryStartedEvent): + def on_knowledge_query_started( + _: Any, event: KnowledgeQueryStartedEvent + ) -> None: pass @crewai_event_bus.on(KnowledgeQueryFailedEvent) - def on_knowledge_query_failed(source, event: KnowledgeQueryFailedEvent): + def on_knowledge_query_failed(_: Any, event: KnowledgeQueryFailedEvent) -> None: self.formatter.handle_knowledge_query_failed( self.formatter.current_agent_branch, event.error, @@ -511,13 +528,15 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(KnowledgeQueryCompletedEvent) - def on_knowledge_query_completed(source, event: KnowledgeQueryCompletedEvent): + def on_knowledge_query_completed( + _: Any, event: KnowledgeQueryCompletedEvent + ) -> None: pass @crewai_event_bus.on(KnowledgeSearchQueryFailedEvent) def on_knowledge_search_query_failed( - source, event: KnowledgeSearchQueryFailedEvent - ): + _: Any, event: KnowledgeSearchQueryFailedEvent + ) -> None: self.formatter.handle_knowledge_search_query_failed( self.formatter.current_agent_branch, event.error, @@ -527,7 +546,9 @@ class EventListener(BaseEventListener): # ----------- REASONING EVENTS ----------- @crewai_event_bus.on(AgentReasoningStartedEvent) - def on_agent_reasoning_started(source, event: AgentReasoningStartedEvent): + def on_agent_reasoning_started( + _: Any, event: AgentReasoningStartedEvent + ) -> None: self.formatter.handle_reasoning_started( self.formatter.current_agent_branch, event.attempt, @@ -535,7 +556,9 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(AgentReasoningCompletedEvent) - def on_agent_reasoning_completed(source, event: AgentReasoningCompletedEvent): + def on_agent_reasoning_completed( + _: Any, event: AgentReasoningCompletedEvent + ) -> None: self.formatter.handle_reasoning_completed( event.plan, event.ready, @@ -543,7 +566,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(AgentReasoningFailedEvent) - def on_agent_reasoning_failed(source, event: AgentReasoningFailedEvent): + def on_agent_reasoning_failed(_: Any, event: AgentReasoningFailedEvent) -> None: self.formatter.handle_reasoning_failed( event.error, self.formatter.current_crew_tree, @@ -552,7 +575,7 @@ class EventListener(BaseEventListener): # ----------- AGENT LOGGING EVENTS ----------- @crewai_event_bus.on(AgentLogsStartedEvent) - def on_agent_logs_started(source, event: AgentLogsStartedEvent): + def on_agent_logs_started(_: Any, event: AgentLogsStartedEvent) -> None: self.formatter.handle_agent_logs_started( event.agent_role, event.task_description, @@ -560,7 +583,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(AgentLogsExecutionEvent) - def on_agent_logs_execution(source, event: AgentLogsExecutionEvent): + def on_agent_logs_execution(_: Any, event: AgentLogsExecutionEvent) -> None: self.formatter.handle_agent_logs_execution( event.agent_role, event.formatted_answer, @@ -568,7 +591,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(A2ADelegationStartedEvent) - def on_a2a_delegation_started(source, event: A2ADelegationStartedEvent): + def on_a2a_delegation_started(_: Any, event: A2ADelegationStartedEvent) -> None: self.formatter.handle_a2a_delegation_started( event.endpoint, event.task_description, @@ -578,7 +601,9 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(A2ADelegationCompletedEvent) - def on_a2a_delegation_completed(source, event: A2ADelegationCompletedEvent): + def on_a2a_delegation_completed( + _: Any, event: A2ADelegationCompletedEvent + ) -> None: self.formatter.handle_a2a_delegation_completed( event.status, event.result, @@ -587,7 +612,9 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(A2AConversationStartedEvent) - def on_a2a_conversation_started(source, event: A2AConversationStartedEvent): + def on_a2a_conversation_started( + _: Any, event: A2AConversationStartedEvent + ) -> None: # Store A2A agent name for display in conversation tree if event.a2a_agent_name: self.formatter._current_a2a_agent_name = event.a2a_agent_name @@ -598,7 +625,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(A2AMessageSentEvent) - def on_a2a_message_sent(source, event: A2AMessageSentEvent): + def on_a2a_message_sent(_: Any, event: A2AMessageSentEvent) -> None: self.formatter.handle_a2a_message_sent( event.message, event.turn_number, @@ -606,7 +633,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(A2AResponseReceivedEvent) - def on_a2a_response_received(source, event: A2AResponseReceivedEvent): + def on_a2a_response_received(_: Any, event: A2AResponseReceivedEvent) -> None: self.formatter.handle_a2a_response_received( event.response, event.turn_number, @@ -615,7 +642,9 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(A2AConversationCompletedEvent) - def on_a2a_conversation_completed(source, event: A2AConversationCompletedEvent): + def on_a2a_conversation_completed( + _: Any, event: A2AConversationCompletedEvent + ) -> None: self.formatter.handle_a2a_conversation_completed( event.status, event.final_result, @@ -626,7 +655,7 @@ class EventListener(BaseEventListener): # ----------- MCP EVENTS ----------- @crewai_event_bus.on(MCPConnectionStartedEvent) - def on_mcp_connection_started(source, event: MCPConnectionStartedEvent): + def on_mcp_connection_started(_: Any, event: MCPConnectionStartedEvent) -> None: self.formatter.handle_mcp_connection_started( event.server_name, event.server_url, @@ -636,7 +665,9 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(MCPConnectionCompletedEvent) - def on_mcp_connection_completed(source, event: MCPConnectionCompletedEvent): + def on_mcp_connection_completed( + _: Any, event: MCPConnectionCompletedEvent + ) -> None: self.formatter.handle_mcp_connection_completed( event.server_name, event.server_url, @@ -646,7 +677,7 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(MCPConnectionFailedEvent) - def on_mcp_connection_failed(source, event: MCPConnectionFailedEvent): + def on_mcp_connection_failed(_: Any, event: MCPConnectionFailedEvent) -> None: self.formatter.handle_mcp_connection_failed( event.server_name, event.server_url, @@ -656,7 +687,9 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(MCPToolExecutionStartedEvent) - def on_mcp_tool_execution_started(source, event: MCPToolExecutionStartedEvent): + def on_mcp_tool_execution_started( + _: Any, event: MCPToolExecutionStartedEvent + ) -> None: self.formatter.handle_mcp_tool_execution_started( event.server_name, event.tool_name, @@ -665,8 +698,8 @@ class EventListener(BaseEventListener): @crewai_event_bus.on(MCPToolExecutionCompletedEvent) def on_mcp_tool_execution_completed( - source, event: MCPToolExecutionCompletedEvent - ): + _: Any, event: MCPToolExecutionCompletedEvent + ) -> None: self.formatter.handle_mcp_tool_execution_completed( event.server_name, event.tool_name, @@ -676,7 +709,9 @@ class EventListener(BaseEventListener): ) @crewai_event_bus.on(MCPToolExecutionFailedEvent) - def on_mcp_tool_execution_failed(source, event: MCPToolExecutionFailedEvent): + def on_mcp_tool_execution_failed( + _: Any, event: MCPToolExecutionFailedEvent + ) -> None: self.formatter.handle_mcp_tool_execution_failed( event.server_name, event.tool_name, From b759654e7d25f266ffea2c0af6088ed76bb2d78f Mon Sep 17 00:00:00 2001 From: Heitor Carvalho Date: Mon, 24 Nov 2025 15:35:59 -0300 Subject: [PATCH 08/19] feat: support CLI login with Entra ID (#3943) --- .../src/crewai/cli/authentication/main.py | 20 ++- .../authentication/providers/base_provider.py | 3 + .../cli/authentication/providers/entra_id.py | 43 ++++++ .../src/crewai/cli/authentication/utils.py | 5 +- lib/crewai/src/crewai/cli/tools/main.py | 2 +- .../authentication/providers/test_entra_id.py | 141 ++++++++++++++++++ .../cli/authentication/test_auth_main.py | 7 +- 7 files changed, 212 insertions(+), 9 deletions(-) create mode 100644 lib/crewai/src/crewai/cli/authentication/providers/entra_id.py create mode 100644 lib/crewai/tests/cli/authentication/providers/test_entra_id.py diff --git a/lib/crewai/src/crewai/cli/authentication/main.py b/lib/crewai/src/crewai/cli/authentication/main.py index 7bda8fe08..acc7f5c56 100644 --- a/lib/crewai/src/crewai/cli/authentication/main.py +++ b/lib/crewai/src/crewai/cli/authentication/main.py @@ -67,7 +67,11 @@ class ProviderFactory: module = importlib.import_module( f"crewai.cli.authentication.providers.{settings.provider.lower()}" ) - provider = getattr(module, f"{settings.provider.capitalize()}Provider") + # Converts from snake_case to CamelCase to obtain the provider class name. + provider = getattr( + module, + f"{''.join(word.capitalize() for word in settings.provider.split('_'))}Provider", + ) return cast("BaseProvider", provider(settings)) @@ -91,7 +95,7 @@ class AuthenticationCommand: device_code_payload = { "client_id": self.oauth2_provider.get_client_id(), - "scope": "openid", + "scope": " ".join(self.oauth2_provider.get_oauth_scopes()), "audience": self.oauth2_provider.get_audience(), } response = requests.post( @@ -104,9 +108,14 @@ class AuthenticationCommand: def _display_auth_instructions(self, device_code_data: dict[str, str]) -> None: """Display the authentication instructions to the user.""" - console.print("1. Navigate to: ", device_code_data["verification_uri_complete"]) + + verification_uri = device_code_data.get( + "verification_uri_complete", device_code_data.get("verification_uri", "") + ) + + console.print("1. Navigate to: ", verification_uri) console.print("2. Enter the following code: ", device_code_data["user_code"]) - webbrowser.open(device_code_data["verification_uri_complete"]) + webbrowser.open(verification_uri) def _poll_for_token(self, device_code_data: dict[str, Any]) -> None: """Polls the server for the token until it is received, or max attempts are reached.""" @@ -186,8 +195,9 @@ class AuthenticationCommand: ) settings = Settings() + console.print( - f"You are authenticated to the tool repository as [bold cyan]'{settings.org_name}'[/bold cyan] ({settings.org_uuid})", + f"You are now authenticated to the tool repository for organization [bold cyan]'{settings.org_name if settings.org_name else settings.org_uuid}'[/bold cyan]", style="green", ) except Exception: diff --git a/lib/crewai/src/crewai/cli/authentication/providers/base_provider.py b/lib/crewai/src/crewai/cli/authentication/providers/base_provider.py index 0c8057b4d..9412ca283 100644 --- a/lib/crewai/src/crewai/cli/authentication/providers/base_provider.py +++ b/lib/crewai/src/crewai/cli/authentication/providers/base_provider.py @@ -28,3 +28,6 @@ class BaseProvider(ABC): def get_required_fields(self) -> list[str]: """Returns which provider-specific fields inside the "extra" dict will be required""" return [] + + def get_oauth_scopes(self) -> list[str]: + return ["openid", "profile", "email"] diff --git a/lib/crewai/src/crewai/cli/authentication/providers/entra_id.py b/lib/crewai/src/crewai/cli/authentication/providers/entra_id.py new file mode 100644 index 000000000..c08ea4ec7 --- /dev/null +++ b/lib/crewai/src/crewai/cli/authentication/providers/entra_id.py @@ -0,0 +1,43 @@ +from typing import cast + +from crewai.cli.authentication.providers.base_provider import BaseProvider + + +class EntraIdProvider(BaseProvider): + def get_authorize_url(self) -> str: + return f"{self._base_url()}/oauth2/v2.0/devicecode" + + def get_token_url(self) -> str: + return f"{self._base_url()}/oauth2/v2.0/token" + + def get_jwks_url(self) -> str: + return f"{self._base_url()}/discovery/v2.0/keys" + + def get_issuer(self) -> str: + return f"{self._base_url()}/v2.0" + + def get_audience(self) -> str: + if self.settings.audience is None: + raise ValueError( + "Audience is required. Please set it in the configuration." + ) + return self.settings.audience + + def get_client_id(self) -> str: + if self.settings.client_id is None: + raise ValueError( + "Client ID is required. Please set it in the configuration." + ) + return self.settings.client_id + + def get_oauth_scopes(self) -> list[str]: + return [ + *super().get_oauth_scopes(), + *cast(str, self.settings.extra.get("scope", "")).split(), + ] + + def get_required_fields(self) -> list[str]: + return ["scope"] + + def _base_url(self) -> str: + return f"https://login.microsoftonline.com/{self.settings.domain}" diff --git a/lib/crewai/src/crewai/cli/authentication/utils.py b/lib/crewai/src/crewai/cli/authentication/utils.py index 08955092b..7311b9d42 100644 --- a/lib/crewai/src/crewai/cli/authentication/utils.py +++ b/lib/crewai/src/crewai/cli/authentication/utils.py @@ -1,10 +1,12 @@ +from typing import Any + import jwt from jwt import PyJWKClient def validate_jwt_token( jwt_token: str, jwks_url: str, issuer: str, audience: str -) -> dict: +) -> Any: """ Verify the token's signature and claims using PyJWT. :param jwt_token: The JWT (JWS) string to validate. @@ -24,6 +26,7 @@ def validate_jwt_token( _unverified_decoded_token = jwt.decode( jwt_token, options={"verify_signature": False} ) + return jwt.decode( jwt_token, signing_key.key, diff --git a/lib/crewai/src/crewai/cli/tools/main.py b/lib/crewai/src/crewai/cli/tools/main.py index 2705388c5..13fd257fe 100644 --- a/lib/crewai/src/crewai/cli/tools/main.py +++ b/lib/crewai/src/crewai/cli/tools/main.py @@ -162,7 +162,7 @@ class ToolCommand(BaseCommand, PlusAPIMixin): if login_response.status_code != 200: console.print( - "Authentication failed. Verify access to the tool repository, or try `crewai login`. ", + "Authentication failed. Verify if the currently active organization access to the tool repository, and run 'crewai login' again. ", style="bold red", ) raise SystemExit diff --git a/lib/crewai/tests/cli/authentication/providers/test_entra_id.py b/lib/crewai/tests/cli/authentication/providers/test_entra_id.py new file mode 100644 index 000000000..889023955 --- /dev/null +++ b/lib/crewai/tests/cli/authentication/providers/test_entra_id.py @@ -0,0 +1,141 @@ +import pytest + +from crewai.cli.authentication.main import Oauth2Settings +from crewai.cli.authentication.providers.entra_id import EntraIdProvider + + +class TestEntraIdProvider: + @pytest.fixture(autouse=True) + def setup_method(self): + self.valid_settings = Oauth2Settings( + provider="entra_id", + domain="tenant-id-abcdef123456", + client_id="test-client-id", + audience="test-audience", + extra={ + "scope": "openid profile email api://crewai-cli-dev/read" + } + ) + self.provider = EntraIdProvider(self.valid_settings) + + def test_initialization_with_valid_settings(self): + provider = EntraIdProvider(self.valid_settings) + assert provider.settings == self.valid_settings + assert provider.settings.provider == "entra_id" + assert provider.settings.domain == "tenant-id-abcdef123456" + assert provider.settings.client_id == "test-client-id" + assert provider.settings.audience == "test-audience" + + def test_get_authorize_url(self): + expected_url = "https://login.microsoftonline.com/tenant-id-abcdef123456/oauth2/v2.0/devicecode" + assert self.provider.get_authorize_url() == expected_url + + def test_get_authorize_url_with_different_domain(self): + # For EntraID, the domain is the tenant ID. + settings = Oauth2Settings( + provider="entra_id", + domain="my-company.entra.id", + client_id="test-client", + audience="test-audience", + ) + provider = EntraIdProvider(settings) + expected_url = "https://login.microsoftonline.com/my-company.entra.id/oauth2/v2.0/devicecode" + assert provider.get_authorize_url() == expected_url + + def test_get_token_url(self): + expected_url = "https://login.microsoftonline.com/tenant-id-abcdef123456/oauth2/v2.0/token" + assert self.provider.get_token_url() == expected_url + + def test_get_token_url_with_different_domain(self): + # For EntraID, the domain is the tenant ID. + settings = Oauth2Settings( + provider="entra_id", + domain="another-domain.entra.id", + client_id="test-client", + audience="test-audience", + ) + provider = EntraIdProvider(settings) + expected_url = "https://login.microsoftonline.com/another-domain.entra.id/oauth2/v2.0/token" + assert provider.get_token_url() == expected_url + + def test_get_jwks_url(self): + expected_url = "https://login.microsoftonline.com/tenant-id-abcdef123456/discovery/v2.0/keys" + assert self.provider.get_jwks_url() == expected_url + + def test_get_jwks_url_with_different_domain(self): + # For EntraID, the domain is the tenant ID. + settings = Oauth2Settings( + provider="entra_id", + domain="dev.entra.id", + client_id="test-client", + audience="test-audience", + ) + provider = EntraIdProvider(settings) + expected_url = "https://login.microsoftonline.com/dev.entra.id/discovery/v2.0/keys" + assert provider.get_jwks_url() == expected_url + + def test_get_issuer(self): + expected_issuer = "https://login.microsoftonline.com/tenant-id-abcdef123456/v2.0" + assert self.provider.get_issuer() == expected_issuer + + def test_get_issuer_with_different_domain(self): + # For EntraID, the domain is the tenant ID. + settings = Oauth2Settings( + provider="entra_id", + domain="other-tenant-id-xpto", + client_id="test-client", + audience="test-audience", + ) + provider = EntraIdProvider(settings) + expected_issuer = "https://login.microsoftonline.com/other-tenant-id-xpto/v2.0" + assert provider.get_issuer() == expected_issuer + + def test_get_audience(self): + assert self.provider.get_audience() == "test-audience" + + def test_get_audience_assertion_error_when_none(self): + settings = Oauth2Settings( + provider="entra_id", + domain="test-tenant-id", + client_id="test-client-id", + audience=None, + ) + provider = EntraIdProvider(settings) + + with pytest.raises(ValueError, match="Audience is required"): + provider.get_audience() + + def test_get_client_id(self): + assert self.provider.get_client_id() == "test-client-id" + + def test_get_required_fields(self): + assert set(self.provider.get_required_fields()) == set(["scope"]) + + def test_get_oauth_scopes(self): + settings = Oauth2Settings( + provider="entra_id", + domain="tenant-id-abcdef123456", + client_id="test-client-id", + audience="test-audience", + extra={ + "scope": "api://crewai-cli-dev/read" + } + ) + provider = EntraIdProvider(settings) + assert provider.get_oauth_scopes() == ["openid", "profile", "email", "api://crewai-cli-dev/read"] + + def test_get_oauth_scopes_with_multiple_custom_scopes(self): + settings = Oauth2Settings( + provider="entra_id", + domain="tenant-id-abcdef123456", + client_id="test-client-id", + audience="test-audience", + extra={ + "scope": "api://crewai-cli-dev/read api://crewai-cli-dev/write custom-scope1 custom-scope2" + } + ) + provider = EntraIdProvider(settings) + assert provider.get_oauth_scopes() == ["openid", "profile", "email", "api://crewai-cli-dev/read", "api://crewai-cli-dev/write", "custom-scope1", "custom-scope2"] + + def test_base_url(self): + assert self.provider._base_url() == "https://login.microsoftonline.com/tenant-id-abcdef123456" \ No newline at end of file diff --git a/lib/crewai/tests/cli/authentication/test_auth_main.py b/lib/crewai/tests/cli/authentication/test_auth_main.py index d5d309ca9..5f7308e20 100644 --- a/lib/crewai/tests/cli/authentication/test_auth_main.py +++ b/lib/crewai/tests/cli/authentication/test_auth_main.py @@ -15,6 +15,8 @@ class TestAuthenticationCommand: def setup_method(self): self.auth_command = AuthenticationCommand() + # TODO: these expectations are reading from the actual settings, we should mock them. + # E.g. if you change the client_id locally, this test will fail. @pytest.mark.parametrize( "user_provider,expected_urls", [ @@ -181,7 +183,7 @@ class TestAuthenticationCommand: ), call("Success!\n", style="bold green"), call( - "You are authenticated to the tool repository as [bold cyan]'Test Org'[/bold cyan] (test-uuid-123)", + "You are now authenticated to the tool repository for organization [bold cyan]'Test Org'[/bold cyan]", style="green", ), ] @@ -234,6 +236,7 @@ class TestAuthenticationCommand: "https://example.com/device" ) self.auth_command.oauth2_provider.get_audience.return_value = "test_audience" + self.auth_command.oauth2_provider.get_oauth_scopes.return_value = ["openid", "profile", "email"] result = self.auth_command._get_device_code() @@ -241,7 +244,7 @@ class TestAuthenticationCommand: url="https://example.com/device", data={ "client_id": "test_client", - "scope": "openid", + "scope": "openid profile email", "audience": "test_audience", }, timeout=20, From a978267fa20e7ab20fcaa12911e536ba2d67d3d5 Mon Sep 17 00:00:00 2001 From: Mark McDonald Date: Tue, 25 Nov 2025 03:49:29 +0800 Subject: [PATCH 09/19] feat: Add gemini-3-pro-preview (#3950) * Add gemini-3-pro-preview Also refactors the tool support check for better forward compatibility. * Add cassette for Gemini 3 Pro --------- Co-authored-by: Greyson LaLonde --- lib/crewai/src/crewai/cli/constants.py | 1 + lib/crewai/src/crewai/llm.py | 1 + lib/crewai/src/crewai/llms/constants.py | 2 + .../llms/providers/gemini/completion.py | 7 +- ...i_models[gemini-gemini-3-pro-preview].yaml | 69 +++++++++++++++++++ lib/crewai/tests/llms/google/test_google.py | 2 - lib/crewai/tests/test_llm.py | 1 + 7 files changed, 78 insertions(+), 5 deletions(-) create mode 100644 lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-3-pro-preview].yaml diff --git a/lib/crewai/src/crewai/cli/constants.py b/lib/crewai/src/crewai/cli/constants.py index ec0bd2ac8..a3755b1a6 100644 --- a/lib/crewai/src/crewai/cli/constants.py +++ b/lib/crewai/src/crewai/cli/constants.py @@ -145,6 +145,7 @@ MODELS = { "claude-3-haiku-20240307", ], "gemini": [ + "gemini/gemini-3-pro-preview", "gemini/gemini-1.5-flash", "gemini/gemini-1.5-pro", "gemini/gemini-2.0-flash-lite-001", diff --git a/lib/crewai/src/crewai/llm.py b/lib/crewai/src/crewai/llm.py index b0cf42091..5818fdac9 100644 --- a/lib/crewai/src/crewai/llm.py +++ b/lib/crewai/src/crewai/llm.py @@ -179,6 +179,7 @@ LLM_CONTEXT_WINDOW_SIZES: Final[dict[str, int]] = { "o3-mini": 200000, "o4-mini": 200000, # gemini + "gemini-3-pro-preview": 1048576, "gemini-2.0-flash": 1048576, "gemini-2.0-flash-thinking-exp-01-21": 32768, "gemini-2.0-flash-lite-001": 1048576, diff --git a/lib/crewai/src/crewai/llms/constants.py b/lib/crewai/src/crewai/llms/constants.py index 2765a9458..fc4656455 100644 --- a/lib/crewai/src/crewai/llms/constants.py +++ b/lib/crewai/src/crewai/llms/constants.py @@ -235,6 +235,7 @@ ANTHROPIC_MODELS: list[AnthropicModels] = [ ] GeminiModels: TypeAlias = Literal[ + "gemini-3-pro-preview", "gemini-2.5-pro", "gemini-2.5-pro-preview-03-25", "gemini-2.5-pro-preview-05-06", @@ -287,6 +288,7 @@ GeminiModels: TypeAlias = Literal[ "learnlm-2.0-flash-experimental", ] GEMINI_MODELS: list[GeminiModels] = [ + "gemini-3-pro-preview", "gemini-2.5-pro", "gemini-2.5-pro-preview-03-25", "gemini-2.5-pro-preview-05-06", diff --git a/lib/crewai/src/crewai/llms/providers/gemini/completion.py b/lib/crewai/src/crewai/llms/providers/gemini/completion.py index 8668a8f58..027262865 100644 --- a/lib/crewai/src/crewai/llms/providers/gemini/completion.py +++ b/lib/crewai/src/crewai/llms/providers/gemini/completion.py @@ -1,5 +1,6 @@ import logging import os +import re from typing import Any, cast from pydantic import BaseModel @@ -100,9 +101,8 @@ class GeminiCompletion(BaseLLM): self.stop_sequences = stop_sequences or [] # Model-specific settings - self.is_gemini_2 = "gemini-2" in model.lower() - self.is_gemini_1_5 = "gemini-1.5" in model.lower() - self.supports_tools = self.is_gemini_1_5 or self.is_gemini_2 + version_match = re.search(r"gemini-(\d+(?:\.\d+)?)", model.lower()) + self.supports_tools = bool(version_match and float(version_match.group(1)) >= 1.5) @property def stop(self) -> list[str]: @@ -559,6 +559,7 @@ class GeminiCompletion(BaseLLM): ) context_windows = { + "gemini-3-pro-preview": 1048576, # 1M tokens "gemini-2.0-flash": 1048576, # 1M tokens "gemini-2.0-flash-thinking": 32768, "gemini-2.0-flash-lite": 1048576, diff --git a/lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-3-pro-preview].yaml b/lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-3-pro-preview].yaml new file mode 100644 index 000000000..eb47f39b7 --- /dev/null +++ b/lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-3-pro-preview].yaml @@ -0,0 +1,69 @@ +interactions: +- request: + body: '{"contents":[{"role":"user","parts":[{"text":"What is the capital of France?"}]}],"generationConfig":{"stop_sequences":[]}}' + headers: + accept: + - '*/*' + accept-encoding: + - gzip, deflate + connection: + - keep-alive + content-length: + - '123' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + user-agent: + - litellm/1.78.5 + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-preview:generateContent + response: + body: + string: !!binary | + H4sIAAAAAAAC/21UW4+iSBh9719heGxmBgFvbDIPgKAgNwUV3OxDCSWU3KFApdP/fWl77XF2l6RI + 5ftOnVN1ku+8vQwGhA+yAAUAw5r4Y/BnXxkM3u7/j16eYZjhvvEo9cUCVPgX9vN7e9r3EAyvH4cI + J4IDHxQIg2SQnwZyBTIfDlA9eH21QIXq19cfxLd/HY3yJoywjcIM4KaCHzRSvZbEWpL4YIlRytG8 + a3eoGiukHPHm3jH2FNvMTC1qLlgS05RL42PVyPMdz1uFHpQuytZSBqcHf7PexMHK3mjJQjWKIbM+ + MxFL6cvWMMfQFsOJ3UQk5j1hWmoxK1DrLqncyrpcQ+UY0uZog2oqkTmXiQ2f27ZBpS58MXBTxRbX + qdfsl25Vn5tswrUHeVhVxenW7kaG0cKdt2hjjxPUBYY26BAUvbqqw30AoG0eTMmzdImnIrI51+VY + xeqUl/HKs8ZgfBPF0bbtMDjMzxZSkv3KNuJgwTlYMkw9YEyKMcfkRvUmkiPpBqL486niJEuQKtE7 + XibhpJy1AltrXSrjq+iEucKfK5z43Ci6bTu+VIVuRNecmwRN2gnbqQHH6lQ06eNM5ttpwEjZVOI3 + umesM9qbcxMySprtbDYXaboQdioPMpuEy3U4VZrM6njN0rAk8Fh3/ON+E58FJPDtxD8upIWTbI/D + MrqM7RWj7VWo6kMFUgaj5Dpzsg8bE6GoIc+rJEcnau8qGNnZygGNcRO61nD5sXgyWbUQ+Z4XQhrX + 3C6UyS2OTHAp2cUJVp0eSZqtyTuTy48XjmW0xLJVYRqYYmSZhatQ45ROKPZiXTZTxiq2ceDPIhii + 7tBurqtSL7ylp5NRw5FUzJXsLkiRJs1BIi05Oxit51ToBF2oTGOvYTXjfJptR62SVdTB7W5aaJzq + nb9adAVFIii3gZE5Qz87C+ViVKa3eJ2f4pyiSzasywoHJA2klNL01IIYX6o55V8n3BUc8vKagLIp + d/pRZoatSfor/yx4bAYp/udP4mlc3r/2f/2aIqLKk/vUpHkAkwf8/QEgTihDdbSBoM6zD5jtmNbX + EBIoC+C1Lw9fHgJ3aqKpQQh1iEGfFOArD4iiytMCO3kMMzFv7kkx++R6ypX/beO8D4XfOvSI/vYf + 1nrea6LkOW+eoqh/IkgQvt2zRnKdpzDpBZ5VHza8PLn1yJrfL0gz45d//Pq0cAerGn16FcK0d+87 + +72/Yb9gi+DlrklUsC7yrIZK8IHbeV4/2Sy/LL9r50a3aquVZ2uPeHl/+RvdmjG6dAUAAA== + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Encoding: + - gzip + Content-Type: + - application/json; charset=UTF-8 + Date: + - Wed, 19 Nov 2025 08:56:53 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=2508 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - nosniff + X-Frame-Options: + - SAMEORIGIN + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/llms/google/test_google.py b/lib/crewai/tests/llms/google/test_google.py index c6f271b0a..1dd585729 100644 --- a/lib/crewai/tests/llms/google/test_google.py +++ b/lib/crewai/tests/llms/google/test_google.py @@ -455,13 +455,11 @@ def test_gemini_model_capabilities(): llm_2_0 = LLM(model="google/gemini-2.0-flash-001") from crewai.llms.providers.gemini.completion import GeminiCompletion assert isinstance(llm_2_0, GeminiCompletion) - assert llm_2_0.is_gemini_2 == True assert llm_2_0.supports_tools == True # Test Gemini 1.5 model llm_1_5 = LLM(model="google/gemini-1.5-pro") assert isinstance(llm_1_5, GeminiCompletion) - assert llm_1_5.is_gemini_1_5 == True assert llm_1_5.supports_tools == True diff --git a/lib/crewai/tests/test_llm.py b/lib/crewai/tests/test_llm.py index ad3dd9963..50df854d4 100644 --- a/lib/crewai/tests/test_llm.py +++ b/lib/crewai/tests/test_llm.py @@ -259,6 +259,7 @@ def test_validate_call_params_no_response_format(): @pytest.mark.parametrize( "model", [ + "gemini/gemini-3-pro-preview", "gemini/gemini-2.0-flash-thinking-exp-01-21", "gemini/gemini-2.0-flash-001", "gemini/gemini-2.0-flash-lite-001", From f3c5d1e351a169d9705a4ad79496bd2eda09ee4c Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Mon, 24 Nov 2025 15:43:48 -0500 Subject: [PATCH 10/19] feat: add streaming result support to flows and crews * feat: add streaming result support to flows and crews * docs: add streaming execution documentation and integration tests --- docs/en/concepts/crews.mdx | 24 + docs/en/concepts/flows.mdx | 25 + docs/en/learn/streaming-crew-execution.mdx | 320 ++ docs/en/learn/streaming-flow-execution.mdx | 450 ++ lib/crewai/src/crewai/crew.py | 210 +- .../src/crewai/events/event_listener.py | 12 + .../src/crewai/events/types/llm_events.py | 3 +- .../crewai/events/utils/console_formatter.py | 121 +- lib/crewai/src/crewai/flow/flow.py | 85 +- lib/crewai/src/crewai/llm.py | 7 +- lib/crewai/src/crewai/types/streaming.py | 361 ++ lib/crewai/src/crewai/utilities/streaming.py | 296 ++ ...ration.test_async_streaming_from_docs.yaml | 1207 +++++ ...n.test_basic_crew_streaming_from_docs.yaml | 1463 ++++++ ..._kickoff_for_each_streaming_from_docs.yaml | 4121 +++++++++++++++++ ...n.test_streaming_properties_from_docs.yaml | 1205 +++++ ...treaming_with_chunk_context_from_docs.yaml | 1175 +++++ ...n.test_async_flow_streaming_from_docs.yaml | 2244 +++++++++ ...n.test_basic_flow_streaming_from_docs.yaml | 1520 ++++++ lib/crewai/tests/test_streaming.py | 717 +++ .../tests/test_streaming_integration.py | 290 ++ 21 files changed, 15819 insertions(+), 37 deletions(-) create mode 100644 docs/en/learn/streaming-crew-execution.mdx create mode 100644 docs/en/learn/streaming-flow-execution.mdx create mode 100644 lib/crewai/src/crewai/types/streaming.py create mode 100644 lib/crewai/src/crewai/utilities/streaming.py create mode 100644 lib/crewai/tests/cassettes/TestStreamingCrewIntegration.test_async_streaming_from_docs.yaml create mode 100644 lib/crewai/tests/cassettes/TestStreamingCrewIntegration.test_basic_crew_streaming_from_docs.yaml create mode 100644 lib/crewai/tests/cassettes/TestStreamingCrewIntegration.test_kickoff_for_each_streaming_from_docs.yaml create mode 100644 lib/crewai/tests/cassettes/TestStreamingCrewIntegration.test_streaming_properties_from_docs.yaml create mode 100644 lib/crewai/tests/cassettes/TestStreamingCrewIntegration.test_streaming_with_chunk_context_from_docs.yaml create mode 100644 lib/crewai/tests/cassettes/TestStreamingFlowIntegration.test_async_flow_streaming_from_docs.yaml create mode 100644 lib/crewai/tests/cassettes/TestStreamingFlowIntegration.test_basic_flow_streaming_from_docs.yaml create mode 100644 lib/crewai/tests/test_streaming.py create mode 100644 lib/crewai/tests/test_streaming_integration.py diff --git a/docs/en/concepts/crews.mdx b/docs/en/concepts/crews.mdx index e20291d90..a7cc4197b 100644 --- a/docs/en/concepts/crews.mdx +++ b/docs/en/concepts/crews.mdx @@ -33,6 +33,7 @@ A crew in crewAI represents a collaborative group of agents working together to | **Planning** *(optional)* | `planning` | Adds planning ability to the Crew. When activated before each Crew iteration, all Crew data is sent to an AgentPlanner that will plan the tasks and this plan will be added to each task description. | | **Planning LLM** *(optional)* | `planning_llm` | The language model used by the AgentPlanner in a planning process. | | **Knowledge Sources** _(optional)_ | `knowledge_sources` | Knowledge sources available at the crew level, accessible to all the agents. | +| **Stream** _(optional)_ | `stream` | Enable streaming output to receive real-time updates during crew execution. Returns a `CrewStreamingOutput` object that can be iterated for chunks. Defaults to `False`. | **Crew Max RPM**: The `max_rpm` attribute sets the maximum number of requests per minute the crew can perform to avoid rate limits and will override individual agents' `max_rpm` settings if you set it. @@ -338,6 +339,29 @@ for async_result in async_results: These methods provide flexibility in how you manage and execute tasks within your crew, allowing for both synchronous and asynchronous workflows tailored to your needs. +### Streaming Crew Execution + +For real-time visibility into crew execution, you can enable streaming to receive output as it's generated: + +```python Code +# Enable streaming +crew = Crew( + agents=[researcher], + tasks=[task], + stream=True +) + +# Iterate over streaming output +streaming = crew.kickoff(inputs={"topic": "AI"}) +for chunk in streaming: + print(chunk.content, end="", flush=True) + +# Access final result +result = streaming.result +``` + +Learn more about streaming in the [Streaming Crew Execution](/en/learn/streaming-crew-execution) guide. + ### Replaying from a Specific Task You can now replay from a specific task using our CLI command `replay`. diff --git a/docs/en/concepts/flows.mdx b/docs/en/concepts/flows.mdx index 92d63a1c0..067918c21 100644 --- a/docs/en/concepts/flows.mdx +++ b/docs/en/concepts/flows.mdx @@ -897,6 +897,31 @@ flow = ExampleFlow() result = flow.kickoff() ``` +### Streaming Flow Execution + +For real-time visibility into flow execution, you can enable streaming to receive output as it's generated: + +```python +class StreamingFlow(Flow): + stream = True # Enable streaming + + @start() + def research(self): + # Your flow implementation + pass + +# Iterate over streaming output +flow = StreamingFlow() +streaming = flow.kickoff() +for chunk in streaming: + print(chunk.content, end="", flush=True) + +# Access final result +result = streaming.result +``` + +Learn more about streaming in the [Streaming Flow Execution](/en/learn/streaming-flow-execution) guide. + ### Using the CLI Starting from version 0.103.0, you can run flows using the `crewai run` command: diff --git a/docs/en/learn/streaming-crew-execution.mdx b/docs/en/learn/streaming-crew-execution.mdx new file mode 100644 index 000000000..2aac90d4f --- /dev/null +++ b/docs/en/learn/streaming-crew-execution.mdx @@ -0,0 +1,320 @@ +--- +title: Streaming Crew Execution +description: Stream real-time output from your CrewAI crew execution +icon: wave-pulse +mode: "wide" +--- + +## Introduction + +CrewAI provides the ability to stream real-time output during crew execution, allowing you to display results as they're generated rather than waiting for the entire process to complete. This feature is particularly useful for building interactive applications, providing user feedback, and monitoring long-running processes. + +## How Streaming Works + +When streaming is enabled, CrewAI captures LLM responses and tool calls as they happen, packaging them into structured chunks that include context about which task and agent is executing. You can iterate over these chunks in real-time and access the final result once execution completes. + +## Enabling Streaming + +To enable streaming, set the `stream` parameter to `True` when creating your crew: + +```python Code +from crewai import Agent, Crew, Task + +# Create your agents and tasks +researcher = Agent( + role="Research Analyst", + goal="Gather comprehensive information on topics", + backstory="You are an experienced researcher with excellent analytical skills.", +) + +task = Task( + description="Research the latest developments in AI", + expected_output="A detailed report on recent AI advancements", + agent=researcher, +) + +# Enable streaming +crew = Crew( + agents=[researcher], + tasks=[task], + stream=True # Enable streaming output +) +``` + +## Synchronous Streaming + +When you call `kickoff()` on a crew with streaming enabled, it returns a `CrewStreamingOutput` object that you can iterate over to receive chunks as they arrive: + +```python Code +# Start streaming execution +streaming = crew.kickoff(inputs={"topic": "artificial intelligence"}) + +# Iterate over chunks as they arrive +for chunk in streaming: + print(chunk.content, end="", flush=True) + +# Access the final result after streaming completes +result = streaming.result +print(f"\n\nFinal output: {result.raw}") +``` + +### Stream Chunk Information + +Each chunk provides rich context about the execution: + +```python Code +streaming = crew.kickoff(inputs={"topic": "AI"}) + +for chunk in streaming: + print(f"Task: {chunk.task_name} (index {chunk.task_index})") + print(f"Agent: {chunk.agent_role}") + print(f"Content: {chunk.content}") + print(f"Type: {chunk.chunk_type}") # TEXT or TOOL_CALL + if chunk.tool_call: + print(f"Tool: {chunk.tool_call.tool_name}") + print(f"Arguments: {chunk.tool_call.arguments}") +``` + +### Accessing Streaming Results + +The `CrewStreamingOutput` object provides several useful properties: + +```python Code +streaming = crew.kickoff(inputs={"topic": "AI"}) + +# Iterate and collect chunks +for chunk in streaming: + print(chunk.content, end="", flush=True) + +# After iteration completes +print(f"\nCompleted: {streaming.is_completed}") +print(f"Full text: {streaming.get_full_text()}") +print(f"All chunks: {len(streaming.chunks)}") +print(f"Final result: {streaming.result.raw}") +``` + +## Asynchronous Streaming + +For async applications, use `kickoff_async()` with async iteration: + +```python Code +import asyncio + +async def stream_crew(): + crew = Crew( + agents=[researcher], + tasks=[task], + stream=True + ) + + # Start async streaming + streaming = await crew.kickoff_async(inputs={"topic": "AI"}) + + # Async iteration over chunks + async for chunk in streaming: + print(chunk.content, end="", flush=True) + + # Access final result + result = streaming.result + print(f"\n\nFinal output: {result.raw}") + +asyncio.run(stream_crew()) +``` + +## Streaming with kickoff_for_each + +When executing a crew for multiple inputs with `kickoff_for_each()`, streaming works differently depending on whether you use sync or async: + +### Synchronous kickoff_for_each + +With synchronous `kickoff_for_each()`, you get a list of `CrewStreamingOutput` objects, one for each input: + +```python Code +crew = Crew( + agents=[researcher], + tasks=[task], + stream=True +) + +inputs_list = [ + {"topic": "AI in healthcare"}, + {"topic": "AI in finance"} +] + +# Returns list of streaming outputs +streaming_outputs = crew.kickoff_for_each(inputs=inputs_list) + +# Iterate over each streaming output +for i, streaming in enumerate(streaming_outputs): + print(f"\n=== Input {i + 1} ===") + for chunk in streaming: + print(chunk.content, end="", flush=True) + + result = streaming.result + print(f"\n\nResult {i + 1}: {result.raw}") +``` + +### Asynchronous kickoff_for_each_async + +With async `kickoff_for_each_async()`, you get a single `CrewStreamingOutput` that yields chunks from all crews as they arrive concurrently: + +```python Code +import asyncio + +async def stream_multiple_crews(): + crew = Crew( + agents=[researcher], + tasks=[task], + stream=True + ) + + inputs_list = [ + {"topic": "AI in healthcare"}, + {"topic": "AI in finance"} + ] + + # Returns single streaming output for all crews + streaming = await crew.kickoff_for_each_async(inputs=inputs_list) + + # Chunks from all crews arrive as they're generated + async for chunk in streaming: + print(f"[{chunk.task_name}] {chunk.content}", end="", flush=True) + + # Access all results + results = streaming.results # List of CrewOutput objects + for i, result in enumerate(results): + print(f"\n\nResult {i + 1}: {result.raw}") + +asyncio.run(stream_multiple_crews()) +``` + +## Stream Chunk Types + +Chunks can be of different types, indicated by the `chunk_type` field: + +### TEXT Chunks + +Standard text content from LLM responses: + +```python Code +for chunk in streaming: + if chunk.chunk_type == StreamChunkType.TEXT: + print(chunk.content, end="", flush=True) +``` + +### TOOL_CALL Chunks + +Information about tool calls being made: + +```python Code +for chunk in streaming: + if chunk.chunk_type == StreamChunkType.TOOL_CALL: + print(f"\nCalling tool: {chunk.tool_call.tool_name}") + print(f"Arguments: {chunk.tool_call.arguments}") +``` + +## Practical Example: Building a UI with Streaming + +Here's a complete example showing how to build an interactive application with streaming: + +```python Code +import asyncio +from crewai import Agent, Crew, Task +from crewai.types.streaming import StreamChunkType + +async def interactive_research(): + # Create crew with streaming enabled + researcher = Agent( + role="Research Analyst", + goal="Provide detailed analysis on any topic", + backstory="You are an expert researcher with broad knowledge.", + ) + + task = Task( + description="Research and analyze: {topic}", + expected_output="A comprehensive analysis with key insights", + agent=researcher, + ) + + crew = Crew( + agents=[researcher], + tasks=[task], + stream=True, + verbose=False + ) + + # Get user input + topic = input("Enter a topic to research: ") + + print(f"\n{'='*60}") + print(f"Researching: {topic}") + print(f"{'='*60}\n") + + # Start streaming execution + streaming = await crew.kickoff_async(inputs={"topic": topic}) + + current_task = "" + async for chunk in streaming: + # Show task transitions + if chunk.task_name != current_task: + current_task = chunk.task_name + print(f"\n[{chunk.agent_role}] Working on: {chunk.task_name}") + print("-" * 60) + + # Display text chunks + if chunk.chunk_type == StreamChunkType.TEXT: + print(chunk.content, end="", flush=True) + + # Display tool calls + elif chunk.chunk_type == StreamChunkType.TOOL_CALL and chunk.tool_call: + print(f"\n🔧 Using tool: {chunk.tool_call.tool_name}") + + # Show final result + result = streaming.result + print(f"\n\n{'='*60}") + print("Analysis Complete!") + print(f"{'='*60}") + print(f"\nToken Usage: {result.token_usage}") + +asyncio.run(interactive_research()) +``` + +## Use Cases + +Streaming is particularly valuable for: + +- **Interactive Applications**: Provide real-time feedback to users as agents work +- **Long-Running Tasks**: Show progress for research, analysis, or content generation +- **Debugging and Monitoring**: Observe agent behavior and decision-making in real-time +- **User Experience**: Reduce perceived latency by showing incremental results +- **Live Dashboards**: Build monitoring interfaces that display crew execution status + +## Important Notes + +- Streaming automatically enables LLM streaming for all agents in the crew +- You must iterate through all chunks before accessing the `.result` property +- For `kickoff_for_each_async()` with streaming, use `.results` (plural) to get all outputs +- Streaming adds minimal overhead and can actually improve perceived performance +- Each chunk includes full context (task, agent, chunk type) for rich UIs + +## Error Handling + +Handle errors during streaming execution: + +```python Code +streaming = crew.kickoff(inputs={"topic": "AI"}) + +try: + for chunk in streaming: + print(chunk.content, end="", flush=True) + + result = streaming.result + print(f"\nSuccess: {result.raw}") + +except Exception as e: + print(f"\nError during streaming: {e}") + if streaming.is_completed: + print("Streaming completed but an error occurred") +``` + +By leveraging streaming, you can build more responsive and interactive applications with CrewAI, providing users with real-time visibility into agent execution and results. \ No newline at end of file diff --git a/docs/en/learn/streaming-flow-execution.mdx b/docs/en/learn/streaming-flow-execution.mdx new file mode 100644 index 000000000..df0fec91d --- /dev/null +++ b/docs/en/learn/streaming-flow-execution.mdx @@ -0,0 +1,450 @@ +--- +title: Streaming Flow Execution +description: Stream real-time output from your CrewAI flow execution +icon: wave-pulse +mode: "wide" +--- + +## Introduction + +CrewAI Flows support streaming output, allowing you to receive real-time updates as your flow executes. This feature enables you to build responsive applications that display results incrementally, provide live progress updates, and create better user experiences for long-running workflows. + +## How Flow Streaming Works + +When streaming is enabled on a Flow, CrewAI captures and streams output from any crews or LLM calls within the flow. The stream delivers structured chunks containing the content, task context, and agent information as execution progresses. + +## Enabling Streaming + +To enable streaming, set the `stream` attribute to `True` on your Flow class: + +```python Code +from crewai.flow.flow import Flow, listen, start +from crewai import Agent, Crew, Task + +class ResearchFlow(Flow): + stream = True # Enable streaming for the entire flow + + @start() + def initialize(self): + return {"topic": "AI trends"} + + @listen(initialize) + def research_topic(self, data): + researcher = Agent( + role="Research Analyst", + goal="Research topics thoroughly", + backstory="Expert researcher with analytical skills", + ) + + task = Task( + description="Research {topic} and provide insights", + expected_output="Detailed research findings", + agent=researcher, + ) + + crew = Crew( + agents=[researcher], + tasks=[task], + ) + + return crew.kickoff(inputs=data) +``` + +## Synchronous Streaming + +When you call `kickoff()` on a flow with streaming enabled, it returns a `FlowStreamingOutput` object that you can iterate over: + +```python Code +flow = ResearchFlow() + +# Start streaming execution +streaming = flow.kickoff() + +# Iterate over chunks as they arrive +for chunk in streaming: + print(chunk.content, end="", flush=True) + +# Access the final result after streaming completes +result = streaming.result +print(f"\n\nFinal output: {result}") +``` + +### Stream Chunk Information + +Each chunk provides context about where it originated in the flow: + +```python Code +streaming = flow.kickoff() + +for chunk in streaming: + print(f"Agent: {chunk.agent_role}") + print(f"Task: {chunk.task_name}") + print(f"Content: {chunk.content}") + print(f"Type: {chunk.chunk_type}") # TEXT or TOOL_CALL +``` + +### Accessing Streaming Properties + +The `FlowStreamingOutput` object provides useful properties and methods: + +```python Code +streaming = flow.kickoff() + +# Iterate and collect chunks +for chunk in streaming: + print(chunk.content, end="", flush=True) + +# After iteration completes +print(f"\nCompleted: {streaming.is_completed}") +print(f"Full text: {streaming.get_full_text()}") +print(f"Total chunks: {len(streaming.chunks)}") +print(f"Final result: {streaming.result}") +``` + +## Asynchronous Streaming + +For async applications, use `kickoff_async()` with async iteration: + +```python Code +import asyncio + +async def stream_flow(): + flow = ResearchFlow() + + # Start async streaming + streaming = await flow.kickoff_async() + + # Async iteration over chunks + async for chunk in streaming: + print(chunk.content, end="", flush=True) + + # Access final result + result = streaming.result + print(f"\n\nFinal output: {result}") + +asyncio.run(stream_flow()) +``` + +## Streaming with Multi-Step Flows + +Streaming works seamlessly across multiple flow steps, including flows that execute multiple crews: + +```python Code +from crewai.flow.flow import Flow, listen, start +from crewai import Agent, Crew, Task + +class MultiStepFlow(Flow): + stream = True + + @start() + def research_phase(self): + """First crew: Research the topic.""" + researcher = Agent( + role="Research Analyst", + goal="Gather comprehensive information", + backstory="Expert at finding relevant information", + ) + + task = Task( + description="Research AI developments in healthcare", + expected_output="Research findings on AI in healthcare", + agent=researcher, + ) + + crew = Crew(agents=[researcher], tasks=[task]) + result = crew.kickoff() + + self.state["research"] = result.raw + return result.raw + + @listen(research_phase) + def analysis_phase(self, research_data): + """Second crew: Analyze the research.""" + analyst = Agent( + role="Data Analyst", + goal="Analyze information and extract insights", + backstory="Expert at identifying patterns and trends", + ) + + task = Task( + description="Analyze this research: {research}", + expected_output="Key insights and trends", + agent=analyst, + ) + + crew = Crew(agents=[analyst], tasks=[task]) + return crew.kickoff(inputs={"research": research_data}) + + +# Stream across both phases +flow = MultiStepFlow() +streaming = flow.kickoff() + +current_step = "" +for chunk in streaming: + # Track which flow step is executing + if chunk.task_name != current_step: + current_step = chunk.task_name + print(f"\n\n=== {chunk.task_name} ===\n") + + print(chunk.content, end="", flush=True) + +result = streaming.result +print(f"\n\nFinal analysis: {result}") +``` + +## Practical Example: Progress Dashboard + +Here's a complete example showing how to build a progress dashboard with streaming: + +```python Code +import asyncio +from crewai.flow.flow import Flow, listen, start +from crewai import Agent, Crew, Task +from crewai.types.streaming import StreamChunkType + +class ResearchPipeline(Flow): + stream = True + + @start() + def gather_data(self): + researcher = Agent( + role="Data Gatherer", + goal="Collect relevant information", + backstory="Skilled at finding quality sources", + ) + + task = Task( + description="Gather data on renewable energy trends", + expected_output="Collection of relevant data points", + agent=researcher, + ) + + crew = Crew(agents=[researcher], tasks=[task]) + result = crew.kickoff() + self.state["data"] = result.raw + return result.raw + + @listen(gather_data) + def analyze_data(self, data): + analyst = Agent( + role="Data Analyst", + goal="Extract meaningful insights", + backstory="Expert at data analysis", + ) + + task = Task( + description="Analyze: {data}", + expected_output="Key insights and trends", + agent=analyst, + ) + + crew = Crew(agents=[analyst], tasks=[task]) + return crew.kickoff(inputs={"data": data}) + + +async def run_with_dashboard(): + flow = ResearchPipeline() + + print("="*60) + print("RESEARCH PIPELINE DASHBOARD") + print("="*60) + + streaming = await flow.kickoff_async() + + current_agent = "" + current_task = "" + chunk_count = 0 + + async for chunk in streaming: + chunk_count += 1 + + # Display phase transitions + if chunk.task_name != current_task: + current_task = chunk.task_name + current_agent = chunk.agent_role + print(f"\n\n📋 Phase: {current_task}") + print(f"👤 Agent: {current_agent}") + print("-" * 60) + + # Display text output + if chunk.chunk_type == StreamChunkType.TEXT: + print(chunk.content, end="", flush=True) + + # Display tool usage + elif chunk.chunk_type == StreamChunkType.TOOL_CALL and chunk.tool_call: + print(f"\n🔧 Tool: {chunk.tool_call.tool_name}") + + # Show completion summary + result = streaming.result + print(f"\n\n{'='*60}") + print("PIPELINE COMPLETE") + print(f"{'='*60}") + print(f"Total chunks: {chunk_count}") + print(f"Final output length: {len(str(result))} characters") + +asyncio.run(run_with_dashboard()) +``` + +## Streaming with State Management + +Streaming works naturally with Flow state management: + +```python Code +from pydantic import BaseModel + +class AnalysisState(BaseModel): + topic: str = "" + research: str = "" + insights: str = "" + +class StatefulStreamingFlow(Flow[AnalysisState]): + stream = True + + @start() + def research(self): + # State is available during streaming + topic = self.state.topic + print(f"Researching: {topic}") + + researcher = Agent( + role="Researcher", + goal="Research topics thoroughly", + backstory="Expert researcher", + ) + + task = Task( + description=f"Research {topic}", + expected_output="Research findings", + agent=researcher, + ) + + crew = Crew(agents=[researcher], tasks=[task]) + result = crew.kickoff() + + self.state.research = result.raw + return result.raw + + @listen(research) + def analyze(self, research): + # Access updated state + print(f"Analyzing {len(self.state.research)} chars of research") + + analyst = Agent( + role="Analyst", + goal="Extract insights", + backstory="Expert analyst", + ) + + task = Task( + description="Analyze: {research}", + expected_output="Key insights", + agent=analyst, + ) + + crew = Crew(agents=[analyst], tasks=[task]) + result = crew.kickoff(inputs={"research": research}) + + self.state.insights = result.raw + return result.raw + + +# Run with streaming +flow = StatefulStreamingFlow() +streaming = flow.kickoff(inputs={"topic": "quantum computing"}) + +for chunk in streaming: + print(chunk.content, end="", flush=True) + +result = streaming.result +print(f"\n\nFinal state:") +print(f"Topic: {flow.state.topic}") +print(f"Research length: {len(flow.state.research)}") +print(f"Insights length: {len(flow.state.insights)}") +``` + +## Use Cases + +Flow streaming is particularly valuable for: + +- **Multi-Stage Workflows**: Show progress across research, analysis, and synthesis phases +- **Complex Pipelines**: Provide visibility into long-running data processing flows +- **Interactive Applications**: Build responsive UIs that display intermediate results +- **Monitoring and Debugging**: Observe flow execution and crew interactions in real-time +- **Progress Tracking**: Show users which stage of the workflow is currently executing +- **Live Dashboards**: Create monitoring interfaces for production flows + +## Stream Chunk Types + +Like crew streaming, flow chunks can be of different types: + +### TEXT Chunks + +Standard text content from LLM responses: + +```python Code +for chunk in streaming: + if chunk.chunk_type == StreamChunkType.TEXT: + print(chunk.content, end="", flush=True) +``` + +### TOOL_CALL Chunks + +Information about tool calls within the flow: + +```python Code +for chunk in streaming: + if chunk.chunk_type == StreamChunkType.TOOL_CALL and chunk.tool_call: + print(f"\nTool: {chunk.tool_call.tool_name}") + print(f"Args: {chunk.tool_call.arguments}") +``` + +## Error Handling + +Handle errors gracefully during streaming: + +```python Code +flow = ResearchFlow() +streaming = flow.kickoff() + +try: + for chunk in streaming: + print(chunk.content, end="", flush=True) + + result = streaming.result + print(f"\nSuccess! Result: {result}") + +except Exception as e: + print(f"\nError during flow execution: {e}") + if streaming.is_completed: + print("Streaming completed but flow encountered an error") +``` + +## Important Notes + +- Streaming automatically enables LLM streaming for any crews used within the flow +- You must iterate through all chunks before accessing the `.result` property +- Streaming works with both structured and unstructured flow state +- Flow streaming captures output from all crews and LLM calls in the flow +- Each chunk includes context about which agent and task generated it +- Streaming adds minimal overhead to flow execution + +## Combining with Flow Visualization + +You can combine streaming with flow visualization to provide a complete picture: + +```python Code +# Generate flow visualization +flow = ResearchFlow() +flow.plot("research_flow") # Creates HTML visualization + +# Run with streaming +streaming = flow.kickoff() +for chunk in streaming: + print(chunk.content, end="", flush=True) + +result = streaming.result +print(f"\nFlow complete! View structure at: research_flow.html") +``` + +By leveraging flow streaming, you can build sophisticated, responsive applications that provide users with real-time visibility into complex multi-stage workflows, making your AI automations more transparent and engaging. \ No newline at end of file diff --git a/lib/crewai/src/crewai/crew.py b/lib/crewai/src/crewai/crew.py index 00bed8f01..06db81e01 100644 --- a/lib/crewai/src/crewai/crew.py +++ b/lib/crewai/src/crewai/crew.py @@ -74,6 +74,7 @@ from crewai.tasks.conditional_task import ConditionalTask from crewai.tasks.task_output import TaskOutput from crewai.tools.agent_tools.agent_tools import AgentTools from crewai.tools.base_tool import BaseTool +from crewai.types.streaming import CrewStreamingOutput, FlowStreamingOutput from crewai.types.usage_metrics import UsageMetrics from crewai.utilities.constants import NOT_SPECIFIED, TRAINING_DATA_FILE from crewai.utilities.crew.models import CrewContext @@ -90,6 +91,14 @@ from crewai.utilities.logger import Logger from crewai.utilities.planning_handler import CrewPlanner from crewai.utilities.printer import PrinterColor from crewai.utilities.rpm_controller import RPMController +from crewai.utilities.streaming import ( + TaskInfo, + create_async_chunk_generator, + create_chunk_generator, + create_streaming_state, + signal_end, + signal_error, +) from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler from crewai.utilities.training_handler import CrewTrainingHandler @@ -225,6 +234,10 @@ class Crew(FlowTrackable, BaseModel): "It may be used to adjust the output of the crew." ), ) + stream: bool = Field( + default=False, + description="Whether to stream output from the crew execution.", + ) max_rpm: int | None = Field( default=None, description=( @@ -660,7 +673,43 @@ class Crew(FlowTrackable, BaseModel): def kickoff( self, inputs: dict[str, Any] | None = None, - ) -> CrewOutput: + ) -> CrewOutput | CrewStreamingOutput: + if self.stream: + for agent in self.agents: + if agent.llm is not None: + agent.llm.stream = True + + result_holder: list[CrewOutput] = [] + current_task_info: TaskInfo = { + "index": 0, + "name": "", + "id": "", + "agent_role": "", + "agent_id": "", + } + + state = create_streaming_state(current_task_info, result_holder) + output_holder: list[CrewStreamingOutput | FlowStreamingOutput] = [] + + def run_crew() -> None: + """Execute the crew and capture the result.""" + try: + self.stream = False + crew_result = self.kickoff(inputs=inputs) + if isinstance(crew_result, CrewOutput): + result_holder.append(crew_result) + except Exception as exc: + signal_error(state, exc) + finally: + self.stream = True + signal_end(state) + + streaming_output = CrewStreamingOutput( + sync_iterator=create_chunk_generator(state, run_crew, output_holder) + ) + output_holder.append(streaming_output) + return streaming_output + ctx = baggage.set_baggage( "crew_context", CrewContext(id=str(self.id), key=self.key) ) @@ -726,11 +775,16 @@ class Crew(FlowTrackable, BaseModel): finally: detach(token) - def kickoff_for_each(self, inputs: list[dict[str, Any]]) -> list[CrewOutput]: - """Executes the Crew's workflow for each input and aggregates results.""" - results: list[CrewOutput] = [] + def kickoff_for_each( + self, inputs: list[dict[str, Any]] + ) -> list[CrewOutput | CrewStreamingOutput]: + """Executes the Crew's workflow for each input and aggregates results. + + If stream=True, returns a list of CrewStreamingOutput objects that must + each be iterated to get stream chunks and access results. + """ + results: list[CrewOutput | CrewStreamingOutput] = [] - # Initialize the parent crew's usage metrics total_usage_metrics = UsageMetrics() for input_data in inputs: @@ -738,43 +792,161 @@ class Crew(FlowTrackable, BaseModel): output = crew.kickoff(inputs=input_data) - if crew.usage_metrics: + if not self.stream and crew.usage_metrics: total_usage_metrics.add_usage_metrics(crew.usage_metrics) results.append(output) - self.usage_metrics = total_usage_metrics + if not self.stream: + self.usage_metrics = total_usage_metrics self._task_output_handler.reset() return results - async def kickoff_async(self, inputs: dict[str, Any] | None = None) -> CrewOutput: - """Asynchronous kickoff method to start the crew execution.""" + async def kickoff_async( + self, inputs: dict[str, Any] | None = None + ) -> CrewOutput | CrewStreamingOutput: + """Asynchronous kickoff method to start the crew execution. + + If stream=True, returns a CrewStreamingOutput that can be async-iterated + to get stream chunks. After iteration completes, access the final result + via .result. + """ inputs = inputs or {} + + if self.stream: + for agent in self.agents: + if agent.llm is not None: + agent.llm.stream = True + + result_holder: list[CrewOutput] = [] + current_task_info: TaskInfo = { + "index": 0, + "name": "", + "id": "", + "agent_role": "", + "agent_id": "", + } + + state = create_streaming_state( + current_task_info, result_holder, use_async=True + ) + output_holder: list[CrewStreamingOutput | FlowStreamingOutput] = [] + + async def run_crew() -> None: + try: + self.stream = False + result = await asyncio.to_thread(self.kickoff, inputs) + if isinstance(result, CrewOutput): + result_holder.append(result) + except Exception as e: + signal_error(state, e, is_async=True) + finally: + self.stream = True + signal_end(state, is_async=True) + + streaming_output = CrewStreamingOutput( + async_iterator=create_async_chunk_generator( + state, run_crew, output_holder + ) + ) + output_holder.append(streaming_output) + + return streaming_output + return await asyncio.to_thread(self.kickoff, inputs) async def kickoff_for_each_async( self, inputs: list[dict[str, Any]] - ) -> list[CrewOutput]: + ) -> list[CrewOutput | CrewStreamingOutput] | CrewStreamingOutput: + """Executes the Crew's workflow for each input asynchronously. + + If stream=True, returns a single CrewStreamingOutput that yields chunks + from all crews as they arrive. After iteration, access results via .results + (list of CrewOutput). + """ crew_copies = [self.copy() for _ in inputs] - async def run_crew(crew: Self, input_data: Any) -> CrewOutput: - return await crew.kickoff_async(inputs=input_data) + if self.stream: + result_holder: list[list[CrewOutput]] = [[]] + current_task_info: TaskInfo = { + "index": 0, + "name": "", + "id": "", + "agent_role": "", + "agent_id": "", + } + + state = create_streaming_state( + current_task_info, result_holder, use_async=True + ) + output_holder: list[CrewStreamingOutput | FlowStreamingOutput] = [] + + async def run_all_crews() -> None: + """Run all crew copies and aggregate their streaming outputs.""" + try: + streaming_outputs: list[CrewStreamingOutput] = [] + for i, crew in enumerate(crew_copies): + streaming = await crew.kickoff_async(inputs=inputs[i]) + if isinstance(streaming, CrewStreamingOutput): + streaming_outputs.append(streaming) + + async def consume_stream( + stream_output: CrewStreamingOutput, + ) -> CrewOutput: + """Consume stream chunks and forward to parent queue. + + Args: + stream_output: The streaming output to consume. + + Returns: + The final CrewOutput result. + """ + async for chunk in stream_output: + if state.async_queue is not None and state.loop is not None: + state.loop.call_soon_threadsafe( + state.async_queue.put_nowait, chunk + ) + return stream_output.result + + crew_results = await asyncio.gather( + *[consume_stream(s) for s in streaming_outputs] + ) + result_holder[0] = list(crew_results) + except Exception as e: + signal_error(state, e, is_async=True) + finally: + signal_end(state, is_async=True) + + streaming_output = CrewStreamingOutput( + async_iterator=create_async_chunk_generator( + state, run_all_crews, output_holder + ) + ) + + def set_results_wrapper(result: Any) -> None: + """Wrap _set_results to match _set_result signature.""" + streaming_output._set_results(result) + + streaming_output._set_result = set_results_wrapper # type: ignore[method-assign] + output_holder.append(streaming_output) + + return streaming_output tasks = [ - asyncio.create_task(run_crew(crew_copies[i], inputs[i])) - for i in range(len(inputs)) + asyncio.create_task(crew_copy.kickoff_async(inputs=input_data)) + for crew_copy, input_data in zip(crew_copies, inputs, strict=True) ] results = await asyncio.gather(*tasks) total_usage_metrics = UsageMetrics() - for crew in crew_copies: - if crew.usage_metrics: - total_usage_metrics.add_usage_metrics(crew.usage_metrics) - + for crew_copy in crew_copies: + if crew_copy.usage_metrics: + total_usage_metrics.add_usage_metrics(crew_copy.usage_metrics) self.usage_metrics = total_usage_metrics + self._task_output_handler.reset() - return results + return list(results) def _handle_crew_planning(self) -> None: """Handles the Crew planning.""" diff --git a/lib/crewai/src/crewai/events/event_listener.py b/lib/crewai/src/crewai/events/event_listener.py index 5cd190cf6..3b1abdc2e 100644 --- a/lib/crewai/src/crewai/events/event_listener.py +++ b/lib/crewai/src/crewai/events/event_listener.py @@ -409,6 +409,8 @@ class EventListener(BaseEventListener): @crewai_event_bus.on(LLMCallStartedEvent) def on_llm_call_started(_: Any, event: LLMCallStartedEvent) -> None: + self.text_stream = StringIO() + self.next_chunk = 0 # Capture the returned tool branch and update the current_tool_branch reference thinking_branch = self.formatter.handle_llm_call_started( self.formatter.current_agent_branch, @@ -420,6 +422,7 @@ class EventListener(BaseEventListener): @crewai_event_bus.on(LLMCallCompletedEvent) def on_llm_call_completed(_: Any, event: LLMCallCompletedEvent) -> None: + self.formatter.handle_llm_stream_completed() self.formatter.handle_llm_call_completed( self.formatter.current_tool_branch, self.formatter.current_agent_branch, @@ -428,6 +431,7 @@ class EventListener(BaseEventListener): @crewai_event_bus.on(LLMCallFailedEvent) def on_llm_call_failed(_: Any, event: LLMCallFailedEvent) -> None: + self.formatter.handle_llm_stream_completed() self.formatter.handle_llm_call_failed( self.formatter.current_tool_branch, event.error, @@ -441,6 +445,14 @@ class EventListener(BaseEventListener): self.text_stream.read() self.next_chunk = self.text_stream.tell() + accumulated_text = self.text_stream.getvalue() + self.formatter.handle_llm_stream_chunk( + event.chunk, + accumulated_text, + self.formatter.current_crew_tree, + event.call_type, + ) + # ----------- LLM GUARDRAIL EVENTS ----------- @crewai_event_bus.on(LLMGuardrailStartedEvent) diff --git a/lib/crewai/src/crewai/events/types/llm_events.py b/lib/crewai/src/crewai/events/types/llm_events.py index c6db9405d..e05c28f0b 100644 --- a/lib/crewai/src/crewai/events/types/llm_events.py +++ b/lib/crewai/src/crewai/events/types/llm_events.py @@ -10,7 +10,7 @@ class LLMEventBase(BaseEvent): from_task: Any | None = None from_agent: Any | None = None - def __init__(self, **data): + def __init__(self, **data: Any) -> None: if data.get("from_task"): task = data["from_task"] data["task_id"] = str(task.id) @@ -84,3 +84,4 @@ class LLMStreamChunkEvent(LLMEventBase): type: str = "llm_stream_chunk" chunk: str tool_call: ToolCall | None = None + call_type: LLMCallType | None = None diff --git a/lib/crewai/src/crewai/events/utils/console_formatter.py b/lib/crewai/src/crewai/events/utils/console_formatter.py index b610207dc..2ec0d69ce 100644 --- a/lib/crewai/src/crewai/events/utils/console_formatter.py +++ b/lib/crewai/src/crewai/events/utils/console_formatter.py @@ -21,7 +21,7 @@ class ConsoleFormatter: current_reasoning_branch: Tree | None = None _live_paused: bool = False current_llm_tool_tree: Tree | None = None - current_a2a_conversation_branch: Tree | None = None + current_a2a_conversation_branch: Tree | str | None = None current_a2a_turn_count: int = 0 _pending_a2a_message: str | None = None _pending_a2a_agent_role: str | None = None @@ -39,6 +39,10 @@ class ConsoleFormatter: # Once any non-Tree renderable is printed we stop the Live session so the # final Tree persists on the terminal. self._live: Live | None = None + self._streaming_live: Live | None = None + self._is_streaming: bool = False + self._just_streamed_final_answer: bool = False + self._last_stream_call_type: Any = None def create_panel(self, content: Text, title: str, style: str = "blue") -> Panel: """Create a standardized panel with consistent styling.""" @@ -146,6 +150,9 @@ To enable tracing, do any one of these: if len(args) == 1 and isinstance(args[0], Tree): tree = args[0] + if self._is_streaming: + return + if not self._live: # Start a new Live session for the first tree self._live = Live(tree, console=self.console, refresh_per_second=4) @@ -554,7 +561,7 @@ To enable tracing, do any one of these: self, tool_name: str, tool_args: dict[str, Any] | str, - ) -> None: + ) -> Tree: # Create status content for the tool usage content = self.create_status_content( "Tool Usage Started", tool_name, Status="In Progress", tool_args=tool_args @@ -762,11 +769,14 @@ To enable tracing, do any one of these: thinking_branch_to_remove = None removed = False - # Method 1: Use the provided tool_branch if it's a thinking node - if tool_branch is not None and "Thinking" in str(tool_branch.label): + # Method 1: Use the provided tool_branch if it's a thinking/streaming node + if tool_branch is not None and ( + "Thinking" in str(tool_branch.label) + or "Streaming" in str(tool_branch.label) + ): thinking_branch_to_remove = tool_branch - # Method 2: Fallback - search for any thinking node if tool_branch is None or not thinking + # Method 2: Fallback - search for any thinking/streaming node if tool_branch is None or not found if thinking_branch_to_remove is None: parents = [ self.current_lite_agent_branch, @@ -777,7 +787,8 @@ To enable tracing, do any one of these: for parent in parents: if isinstance(parent, Tree): for child in parent.children: - if "Thinking" in str(child.label): + label_str = str(child.label) + if "Thinking" in label_str or "Streaming" in label_str: thinking_branch_to_remove = child break if thinking_branch_to_remove: @@ -821,11 +832,13 @@ To enable tracing, do any one of these: # Find the thinking branch to update (similar to completion logic) thinking_branch_to_update = None - # Method 1: Use the provided tool_branch if it's a thinking node - if tool_branch is not None and "Thinking" in str(tool_branch.label): + if tool_branch is not None and ( + "Thinking" in str(tool_branch.label) + or "Streaming" in str(tool_branch.label) + ): thinking_branch_to_update = tool_branch - # Method 2: Fallback - search for any thinking node if tool_branch is None or not thinking + # Method 2: Fallback - search for any thinking/streaming node if tool_branch is None or not found if thinking_branch_to_update is None: parents = [ self.current_lite_agent_branch, @@ -836,7 +849,8 @@ To enable tracing, do any one of these: for parent in parents: if isinstance(parent, Tree): for child in parent.children: - if "Thinking" in str(child.label): + label_str = str(child.label) + if "Thinking" in label_str or "Streaming" in label_str: thinking_branch_to_update = child break if thinking_branch_to_update: @@ -860,6 +874,83 @@ To enable tracing, do any one of these: self.print_panel(error_content, "LLM Error", "red") + def handle_llm_stream_chunk( + self, + chunk: str, + accumulated_text: str, + crew_tree: Tree | None, + call_type: Any = None, + ) -> None: + """Handle LLM stream chunk event - display streaming text in a panel. + + Args: + chunk: The new chunk of text received. + accumulated_text: All text accumulated so far. + crew_tree: The current crew tree for rendering. + call_type: The type of LLM call (LLM_CALL or TOOL_CALL). + """ + if not self.verbose: + return + + self._is_streaming = True + self._last_stream_call_type = call_type + + if self._live: + self._live.stop() + self._live = None + + display_text = accumulated_text + max_lines = 20 + lines = display_text.split("\n") + if len(lines) > max_lines: + display_text = "\n".join(lines[-max_lines:]) + display_text = "...\n" + display_text + + content = Text() + + from crewai.events.types.llm_events import LLMCallType + + if call_type == LLMCallType.TOOL_CALL: + content.append(display_text, style="yellow") + title = "🔧 Tool Arguments" + border_style = "yellow" + else: + content.append(display_text, style="bright_green") + title = "✅ Agent Final Answer" + border_style = "green" + + streaming_panel = Panel( + content, + title=title, + border_style=border_style, + padding=(1, 2), + ) + + if not self._streaming_live: + self._streaming_live = Live( + streaming_panel, console=self.console, refresh_per_second=10 + ) + self._streaming_live.start() + else: + self._streaming_live.update(streaming_panel, refresh=True) + + def handle_llm_stream_completed(self) -> None: + """Handle completion of LLM streaming - stop the streaming live display.""" + self._is_streaming = False + + from crewai.events.types.llm_events import LLMCallType + + if self._last_stream_call_type == LLMCallType.LLM_CALL: + self._just_streamed_final_answer = True + else: + self._just_streamed_final_answer = False + + self._last_stream_call_type = None + + if self._streaming_live: + self._streaming_live.stop() + self._streaming_live = None + def handle_crew_test_started( self, crew_name: str, source_id: str, n_iterations: int ) -> Tree | None: @@ -1528,6 +1619,10 @@ To enable tracing, do any one of these: self.print() elif isinstance(formatted_answer, AgentFinish): + if self._just_streamed_final_answer: + self._just_streamed_final_answer = False + return + is_a2a_delegation = False try: output_data = json.loads(formatted_answer.output) @@ -1866,7 +1961,7 @@ To enable tracing, do any one of these: agent_id: str, is_multiturn: bool = False, turn_number: int = 1, - ) -> None: + ) -> Tree | None: """Handle A2A delegation started event. Args: @@ -1979,7 +2074,7 @@ To enable tracing, do any one of these: if status == "input_required" and error: pass elif status == "completed": - if has_tree: + if has_tree and isinstance(self.current_a2a_conversation_branch, Tree): final_turn = self.current_a2a_conversation_branch.add("") self.update_tree_label( final_turn, @@ -1995,7 +2090,7 @@ To enable tracing, do any one of these: self.current_a2a_conversation_branch = None self.current_a2a_turn_count = 0 elif status == "failed": - if has_tree: + if has_tree and isinstance(self.current_a2a_conversation_branch, Tree): error_turn = self.current_a2a_conversation_branch.add("") error_msg = ( error[:150] + "..." if error and len(error) > 150 else error diff --git a/lib/crewai/src/crewai/flow/flow.py b/lib/crewai/src/crewai/flow/flow.py index 9b9a5a930..f5a51f33a 100644 --- a/lib/crewai/src/crewai/flow/flow.py +++ b/lib/crewai/src/crewai/flow/flow.py @@ -70,7 +70,16 @@ from crewai.flow.utils import ( is_simple_flow_condition, ) from crewai.flow.visualization import build_flow_structure, render_interactive +from crewai.types.streaming import CrewStreamingOutput, FlowStreamingOutput from crewai.utilities.printer import Printer, PrinterColor +from crewai.utilities.streaming import ( + TaskInfo, + create_async_chunk_generator, + create_chunk_generator, + create_streaming_state, + signal_end, + signal_error, +) logger = logging.getLogger(__name__) @@ -456,6 +465,7 @@ class Flow(Generic[T], metaclass=FlowMeta): initial_state: type[T] | T | None = None name: str | None = None tracing: bool | None = None + stream: bool = False def __class_getitem__(cls: type[Flow[T]], item: type[T]) -> type[Flow[T]]: class _FlowGeneric(cls): # type: ignore @@ -822,20 +832,56 @@ class Flow(Generic[T], metaclass=FlowMeta): if hasattr(self._state, key): object.__setattr__(self._state, key, value) - def kickoff(self, inputs: dict[str, Any] | None = None) -> Any: + def kickoff( + self, inputs: dict[str, Any] | None = None + ) -> Any | FlowStreamingOutput: """ Start the flow execution in a synchronous context. This method wraps kickoff_async so that all state initialization and event emission is handled in the asynchronous method. """ + if self.stream: + result_holder: list[Any] = [] + current_task_info: TaskInfo = { + "index": 0, + "name": "", + "id": "", + "agent_role": "", + "agent_id": "", + } + + state = create_streaming_state( + current_task_info, result_holder, use_async=False + ) + output_holder: list[CrewStreamingOutput | FlowStreamingOutput] = [] + + def run_flow() -> None: + try: + self.stream = False + result = self.kickoff(inputs=inputs) + result_holder.append(result) + except Exception as e: + signal_error(state, e) + finally: + self.stream = True + signal_end(state) + + streaming_output = FlowStreamingOutput( + sync_iterator=create_chunk_generator(state, run_flow, output_holder) + ) + output_holder.append(streaming_output) + + return streaming_output async def _run_flow() -> Any: return await self.kickoff_async(inputs) return asyncio.run(_run_flow()) - async def kickoff_async(self, inputs: dict[str, Any] | None = None) -> Any: + async def kickoff_async( + self, inputs: dict[str, Any] | None = None + ) -> Any | FlowStreamingOutput: """ Start the flow execution asynchronously. @@ -850,6 +896,41 @@ class Flow(Generic[T], metaclass=FlowMeta): Returns: The final output from the flow, which is the result of the last executed method. """ + if self.stream: + result_holder: list[Any] = [] + current_task_info: TaskInfo = { + "index": 0, + "name": "", + "id": "", + "agent_role": "", + "agent_id": "", + } + + state = create_streaming_state( + current_task_info, result_holder, use_async=True + ) + output_holder: list[CrewStreamingOutput | FlowStreamingOutput] = [] + + async def run_flow() -> None: + try: + self.stream = False + result = await self.kickoff_async(inputs=inputs) + result_holder.append(result) + except Exception as e: + signal_error(state, e, is_async=True) + finally: + self.stream = True + signal_end(state, is_async=True) + + streaming_output = FlowStreamingOutput( + async_iterator=create_async_chunk_generator( + state, run_flow, output_holder + ) + ) + output_holder.append(streaming_output) + + return streaming_output + ctx = baggage.set_baggage("flow_inputs", inputs or {}) flow_token = attach(ctx) diff --git a/lib/crewai/src/crewai/llm.py b/lib/crewai/src/crewai/llm.py index 5818fdac9..00d609f41 100644 --- a/lib/crewai/src/crewai/llm.py +++ b/lib/crewai/src/crewai/llm.py @@ -386,9 +386,10 @@ class LLM(BaseLLM): if native_class and not is_litellm and provider in SUPPORTED_NATIVE_PROVIDERS: try: # Remove 'provider' from kwargs if it exists to avoid duplicate keyword argument - kwargs_copy = {k: v for k, v in kwargs.items() if k != 'provider'} + kwargs_copy = {k: v for k, v in kwargs.items() if k != "provider"} return cast( - Self, native_class(model=model_string, provider=provider, **kwargs_copy) + Self, + native_class(model=model_string, provider=provider, **kwargs_copy), ) except NotImplementedError: raise @@ -757,6 +758,7 @@ class LLM(BaseLLM): chunk=chunk_content, from_task=from_task, from_agent=from_agent, + call_type=LLMCallType.LLM_CALL, ), ) # --- 4) Fallback to non-streaming if no content received @@ -958,6 +960,7 @@ class LLM(BaseLLM): chunk=tool_call.function.arguments, from_task=from_task, from_agent=from_agent, + call_type=LLMCallType.TOOL_CALL, ), ) diff --git a/lib/crewai/src/crewai/types/streaming.py b/lib/crewai/src/crewai/types/streaming.py new file mode 100644 index 000000000..a1f6e4ef7 --- /dev/null +++ b/lib/crewai/src/crewai/types/streaming.py @@ -0,0 +1,361 @@ +"""Streaming output types for crew and flow execution.""" + +from __future__ import annotations + +from collections.abc import AsyncIterator, Iterator +from enum import Enum +from typing import TYPE_CHECKING, Any, Generic, TypeVar + +from pydantic import BaseModel, Field + + +if TYPE_CHECKING: + from crewai.crews.crew_output import CrewOutput + + +T = TypeVar("T") + + +class StreamChunkType(Enum): + """Type of streaming chunk.""" + + TEXT = "text" + TOOL_CALL = "tool_call" + + +class ToolCallChunk(BaseModel): + """Tool call information in a streaming chunk. + + Attributes: + tool_id: Unique identifier for the tool call + tool_name: Name of the tool being called + arguments: JSON string of tool arguments + index: Index of the tool call in the response + """ + + tool_id: str | None = None + tool_name: str | None = None + arguments: str = "" + index: int = 0 + + +class StreamChunk(BaseModel): + """Base streaming chunk with full context. + + Attributes: + content: The streaming content (text or partial content) + chunk_type: Type of the chunk (text, tool_call, etc.) + task_index: Index of the current task (0-based) + task_name: Name or description of the current task + task_id: Unique identifier of the task + agent_role: Role of the agent executing the task + agent_id: Unique identifier of the agent + tool_call: Tool call information if chunk_type is TOOL_CALL + """ + + content: str = Field(description="The streaming content") + chunk_type: StreamChunkType = Field( + default=StreamChunkType.TEXT, description="Type of the chunk" + ) + task_index: int = Field(default=0, description="Index of the current task") + task_name: str = Field(default="", description="Name of the current task") + task_id: str = Field(default="", description="Unique identifier of the task") + agent_role: str = Field(default="", description="Role of the agent") + agent_id: str = Field(default="", description="Unique identifier of the agent") + tool_call: ToolCallChunk | None = Field( + default=None, description="Tool call information" + ) + + def __str__(self) -> str: + """Return the chunk content as a string.""" + return self.content + + +class StreamingOutputBase(Generic[T]): + """Base class for streaming output with result access. + + Provides iteration over stream chunks and access to final result + via the .result property after streaming completes. + """ + + def __init__(self) -> None: + """Initialize streaming output base.""" + self._result: T | None = None + self._completed: bool = False + self._chunks: list[StreamChunk] = [] + self._error: Exception | None = None + + @property + def result(self) -> T: + """Get the final result after streaming completes. + + Returns: + The final output (CrewOutput for crews, Any for flows). + + Raises: + RuntimeError: If streaming has not completed yet. + Exception: If streaming failed with an error. + """ + if not self._completed: + raise RuntimeError( + "Streaming has not completed yet. " + "Iterate over all chunks before accessing result." + ) + if self._error is not None: + raise self._error + if self._result is None: + raise RuntimeError("No result available") + return self._result + + @property + def is_completed(self) -> bool: + """Check if streaming has completed.""" + return self._completed + + @property + def chunks(self) -> list[StreamChunk]: + """Get all collected chunks so far.""" + return self._chunks.copy() + + def get_full_text(self) -> str: + """Get all streamed text content concatenated. + + Returns: + All text chunks concatenated together. + """ + return "".join( + chunk.content + for chunk in self._chunks + if chunk.chunk_type == StreamChunkType.TEXT + ) + + +class CrewStreamingOutput(StreamingOutputBase["CrewOutput"]): + """Streaming output wrapper for crew execution. + + Provides both sync and async iteration over stream chunks, + with access to the final CrewOutput via the .result property. + + For kickoff_for_each_async with streaming, use .results to get list of outputs. + + Example: + ```python + # Single crew + streaming = crew.kickoff(inputs={"topic": "AI"}) + for chunk in streaming: + print(chunk.content, end="", flush=True) + result = streaming.result + + # Multiple crews (kickoff_for_each_async) + streaming = await crew.kickoff_for_each_async( + [{"topic": "AI"}, {"topic": "ML"}] + ) + async for chunk in streaming: + print(chunk.content, end="", flush=True) + results = streaming.results # List of CrewOutput + ``` + """ + + def __init__( + self, + sync_iterator: Iterator[StreamChunk] | None = None, + async_iterator: AsyncIterator[StreamChunk] | None = None, + ) -> None: + """Initialize crew streaming output. + + Args: + sync_iterator: Synchronous iterator for chunks. + async_iterator: Asynchronous iterator for chunks. + """ + super().__init__() + self._sync_iterator = sync_iterator + self._async_iterator = async_iterator + self._results: list[CrewOutput] | None = None + + @property + def results(self) -> list[CrewOutput]: + """Get all results for kickoff_for_each_async. + + Returns: + List of CrewOutput from all crews. + + Raises: + RuntimeError: If streaming has not completed or results not available. + """ + if not self._completed: + raise RuntimeError( + "Streaming has not completed yet. " + "Iterate over all chunks before accessing results." + ) + if self._error is not None: + raise self._error + if self._results is not None: + return self._results + if self._result is not None: + return [self._result] + raise RuntimeError("No results available") + + def _set_results(self, results: list[CrewOutput]) -> None: + """Set multiple results for kickoff_for_each_async. + + Args: + results: List of CrewOutput from all crews. + """ + self._results = results + self._completed = True + + def __iter__(self) -> Iterator[StreamChunk]: + """Iterate over stream chunks synchronously. + + Yields: + StreamChunk objects as they arrive. + + Raises: + RuntimeError: If sync iterator not available. + """ + if self._sync_iterator is None: + raise RuntimeError("Sync iterator not available") + try: + for chunk in self._sync_iterator: + self._chunks.append(chunk) + yield chunk + except Exception as e: + self._error = e + raise + finally: + self._completed = True + + def __aiter__(self) -> AsyncIterator[StreamChunk]: + """Return async iterator for stream chunks. + + Returns: + Async iterator for StreamChunk objects. + """ + return self._async_iterate() + + async def _async_iterate(self) -> AsyncIterator[StreamChunk]: + """Iterate over stream chunks asynchronously. + + Yields: + StreamChunk objects as they arrive. + + Raises: + RuntimeError: If async iterator not available. + """ + if self._async_iterator is None: + raise RuntimeError("Async iterator not available") + try: + async for chunk in self._async_iterator: + self._chunks.append(chunk) + yield chunk + except Exception as e: + self._error = e + raise + finally: + self._completed = True + + def _set_result(self, result: CrewOutput) -> None: + """Set the final result after streaming completes. + + Args: + result: The final CrewOutput. + """ + self._result = result + self._completed = True + + +class FlowStreamingOutput(StreamingOutputBase[Any]): + """Streaming output wrapper for flow execution. + + Provides both sync and async iteration over stream chunks, + with access to the final flow output via the .result property. + + Example: + ```python + # Sync usage + streaming = flow.kickoff_streaming() + for chunk in streaming: + print(chunk.content, end="", flush=True) + result = streaming.result + + # Async usage + streaming = await flow.kickoff_streaming_async() + async for chunk in streaming: + print(chunk.content, end="", flush=True) + result = streaming.result + ``` + """ + + def __init__( + self, + sync_iterator: Iterator[StreamChunk] | None = None, + async_iterator: AsyncIterator[StreamChunk] | None = None, + ) -> None: + """Initialize flow streaming output. + + Args: + sync_iterator: Synchronous iterator for chunks. + async_iterator: Asynchronous iterator for chunks. + """ + super().__init__() + self._sync_iterator = sync_iterator + self._async_iterator = async_iterator + + def __iter__(self) -> Iterator[StreamChunk]: + """Iterate over stream chunks synchronously. + + Yields: + StreamChunk objects as they arrive. + + Raises: + RuntimeError: If sync iterator not available. + """ + if self._sync_iterator is None: + raise RuntimeError("Sync iterator not available") + try: + for chunk in self._sync_iterator: + self._chunks.append(chunk) + yield chunk + except Exception as e: + self._error = e + raise + finally: + self._completed = True + + def __aiter__(self) -> AsyncIterator[StreamChunk]: + """Return async iterator for stream chunks. + + Returns: + Async iterator for StreamChunk objects. + """ + return self._async_iterate() + + async def _async_iterate(self) -> AsyncIterator[StreamChunk]: + """Iterate over stream chunks asynchronously. + + Yields: + StreamChunk objects as they arrive. + + Raises: + RuntimeError: If async iterator not available. + """ + if self._async_iterator is None: + raise RuntimeError("Async iterator not available") + try: + async for chunk in self._async_iterator: + self._chunks.append(chunk) + yield chunk + except Exception as e: + self._error = e + raise + finally: + self._completed = True + + def _set_result(self, result: Any) -> None: + """Set the final result after streaming completes. + + Args: + result: The final flow output. + """ + self._result = result + self._completed = True diff --git a/lib/crewai/src/crewai/utilities/streaming.py b/lib/crewai/src/crewai/utilities/streaming.py new file mode 100644 index 000000000..12cae2760 --- /dev/null +++ b/lib/crewai/src/crewai/utilities/streaming.py @@ -0,0 +1,296 @@ +"""Streaming utilities for crew and flow execution.""" + +import asyncio +from collections.abc import AsyncIterator, Callable, Iterator +import queue +import threading +from typing import Any, NamedTuple + +from typing_extensions import TypedDict + +from crewai.events.base_events import BaseEvent +from crewai.events.event_bus import crewai_event_bus +from crewai.events.types.llm_events import LLMStreamChunkEvent +from crewai.types.streaming import ( + CrewStreamingOutput, + FlowStreamingOutput, + StreamChunk, + StreamChunkType, + ToolCallChunk, +) + + +class TaskInfo(TypedDict): + """Task context information for streaming.""" + + index: int + name: str + id: str + agent_role: str + agent_id: str + + +class StreamingState(NamedTuple): + """Immutable state for streaming execution.""" + + current_task_info: TaskInfo + result_holder: list[Any] + sync_queue: queue.Queue[StreamChunk | None | Exception] + async_queue: asyncio.Queue[StreamChunk | None | Exception] | None + loop: asyncio.AbstractEventLoop | None + handler: Callable[[Any, BaseEvent], None] + + +def _extract_tool_call_info( + event: LLMStreamChunkEvent, +) -> tuple[StreamChunkType, ToolCallChunk | None]: + """Extract tool call information from an LLM stream chunk event. + + Args: + event: The LLM stream chunk event to process. + + Returns: + A tuple of (chunk_type, tool_call_chunk) where tool_call_chunk is None + if the event is not a tool call. + """ + if event.tool_call: + return ( + StreamChunkType.TOOL_CALL, + ToolCallChunk( + tool_id=event.tool_call.id, + tool_name=event.tool_call.function.name, + arguments=event.tool_call.function.arguments, + index=event.tool_call.index, + ), + ) + return StreamChunkType.TEXT, None + + +def _create_stream_chunk( + event: LLMStreamChunkEvent, + current_task_info: TaskInfo, +) -> StreamChunk: + """Create a StreamChunk from an LLM stream chunk event. + + Args: + event: The LLM stream chunk event to process. + current_task_info: Task context info. + + Returns: + A StreamChunk populated with event and task info. + """ + chunk_type, tool_call_chunk = _extract_tool_call_info(event) + + return StreamChunk( + content=event.chunk, + chunk_type=chunk_type, + task_index=current_task_info["index"], + task_name=current_task_info["name"], + task_id=current_task_info["id"], + agent_role=event.agent_role or current_task_info["agent_role"], + agent_id=event.agent_id or current_task_info["agent_id"], + tool_call=tool_call_chunk, + ) + + +def _create_stream_handler( + current_task_info: TaskInfo, + sync_queue: queue.Queue[StreamChunk | None | Exception], + async_queue: asyncio.Queue[StreamChunk | None | Exception] | None = None, + loop: asyncio.AbstractEventLoop | None = None, +) -> Callable[[Any, BaseEvent], None]: + """Create a stream handler function. + + Args: + current_task_info: Task context info. + sync_queue: Synchronous queue for chunks. + async_queue: Optional async queue for chunks. + loop: Optional event loop for async operations. + + Returns: + Handler function that can be registered with the event bus. + """ + + def stream_handler(_: Any, event: BaseEvent) -> None: + """Handle LLM stream chunk events and enqueue them. + + Args: + _: Event source (unused). + event: The event to process. + """ + if not isinstance(event, LLMStreamChunkEvent): + return + + chunk = _create_stream_chunk(event, current_task_info) + + if async_queue is not None and loop is not None: + loop.call_soon_threadsafe(async_queue.put_nowait, chunk) + else: + sync_queue.put(chunk) + + return stream_handler + + +def _unregister_handler(handler: Callable[[Any, BaseEvent], None]) -> None: + """Unregister a stream handler from the event bus. + + Args: + handler: The handler function to unregister. + """ + with crewai_event_bus._rwlock.w_locked(): + handlers: frozenset[Callable[[Any, BaseEvent], None]] = ( + crewai_event_bus._sync_handlers.get(LLMStreamChunkEvent, frozenset()) + ) + crewai_event_bus._sync_handlers[LLMStreamChunkEvent] = handlers - {handler} + + +def _finalize_streaming( + state: StreamingState, + streaming_output: CrewStreamingOutput | FlowStreamingOutput, +) -> None: + """Finalize streaming by unregistering handler and setting result. + + Args: + state: The streaming state to finalize. + streaming_output: The streaming output to set the result on. + """ + _unregister_handler(state.handler) + if state.result_holder: + streaming_output._set_result(state.result_holder[0]) + + +def create_streaming_state( + current_task_info: TaskInfo, + result_holder: list[Any], + use_async: bool = False, +) -> StreamingState: + """Create and register streaming state. + + Args: + current_task_info: Task context info. + result_holder: List to hold the final result. + use_async: Whether to use async queue. + + Returns: + Initialized StreamingState with registered handler. + """ + sync_queue: queue.Queue[StreamChunk | None | Exception] = queue.Queue() + async_queue: asyncio.Queue[StreamChunk | None | Exception] | None = None + loop: asyncio.AbstractEventLoop | None = None + + if use_async: + async_queue = asyncio.Queue() + loop = asyncio.get_event_loop() + + handler = _create_stream_handler(current_task_info, sync_queue, async_queue, loop) + crewai_event_bus.register_handler(LLMStreamChunkEvent, handler) + + return StreamingState( + current_task_info=current_task_info, + result_holder=result_holder, + sync_queue=sync_queue, + async_queue=async_queue, + loop=loop, + handler=handler, + ) + + +def signal_end(state: StreamingState, is_async: bool = False) -> None: + """Signal end of stream. + + Args: + state: The streaming state. + is_async: Whether this is an async stream. + """ + if is_async and state.async_queue is not None and state.loop is not None: + state.loop.call_soon_threadsafe(state.async_queue.put_nowait, None) + else: + state.sync_queue.put(None) + + +def signal_error( + state: StreamingState, error: Exception, is_async: bool = False +) -> None: + """Signal an error in the stream. + + Args: + state: The streaming state. + error: The exception to signal. + is_async: Whether this is an async stream. + """ + if is_async and state.async_queue is not None and state.loop is not None: + state.loop.call_soon_threadsafe(state.async_queue.put_nowait, error) + else: + state.sync_queue.put(error) + + +def create_chunk_generator( + state: StreamingState, + run_func: Callable[[], None], + output_holder: list[CrewStreamingOutput | FlowStreamingOutput], +) -> Iterator[StreamChunk]: + """Create a chunk generator that uses a holder to access streaming output. + + Args: + state: The streaming state. + run_func: Function to run in a separate thread. + output_holder: Single-element list that will contain the streaming output. + + Yields: + StreamChunk objects as they arrive. + """ + thread = threading.Thread(target=run_func, daemon=True) + thread.start() + + try: + while True: + item = state.sync_queue.get() + if item is None: + break + if isinstance(item, Exception): + raise item + yield item + finally: + thread.join() + if output_holder: + _finalize_streaming(state, output_holder[0]) + else: + _unregister_handler(state.handler) + + +async def create_async_chunk_generator( + state: StreamingState, + run_coro: Callable[[], Any], + output_holder: list[CrewStreamingOutput | FlowStreamingOutput], +) -> AsyncIterator[StreamChunk]: + """Create an async chunk generator that uses a holder to access streaming output. + + Args: + state: The streaming state. + run_coro: Coroutine function to run as a task. + output_holder: Single-element list that will contain the streaming output. + + Yields: + StreamChunk objects as they arrive. + """ + if state.async_queue is None: + raise RuntimeError( + "Async queue not initialized. 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This is + VERY important to you, use the tools available and give your best Final Answer, + your job depends on it!\n\nThought:"}],"model":"gpt-4.1-mini","stream":true}' + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '937' + content-type: + - application/json + host: + - api.openai.com + user-agent: + - OpenAI/Python 1.109.1 + x-stainless-arch: + - arm64 + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - MacOS + x-stainless-package-version: + - 1.109.1 + x-stainless-read-timeout: + - '600' + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.12.10 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "data: 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__cf_bm=w8RYIlD4ELItdCXb9ERRd2kiEKmGdbuHoHXVkE5m9Lc-1764015057-1.0.1.1-JcMKVW9D_Dmpg7UOYylxyD0idCCCdbLyojEpM94RykYaBmspc3yG8CQGyMOvrs1UUfam.rku1w.pUQmgnS999GTRe4Caza2uXw1lbf6WmA8; + path=/; expires=Mon, 24-Nov-25 20:40:57 GMT; domain=.api.openai.com; HttpOnly; + Secure; SameSite=None + - _cfuvid=fOdXIn_EkOWTRH7crejLS6meP_xNurOZp2FVkfjPSus-1764015057118-0.0.1.1-604800000; + path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None + Strict-Transport-Security: + - max-age=31536000; includeSubDomains; preload + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - nosniff + access-control-expose-headers: + - X-Request-ID + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - FILTERED + openai-processing-ms: + - '229' + openai-project: + - proj_xitITlrFeen7zjNSzML82h9x + openai-version: + - '2020-10-01' + x-envoy-upstream-service-time: + - '247' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-project-tokens: + - '150000000' + x-ratelimit-limit-requests: + - '30000' + x-ratelimit-limit-tokens: + - '150000000' + x-ratelimit-remaining-project-tokens: + - '149999807' + x-ratelimit-remaining-requests: + - '29999' + x-ratelimit-remaining-tokens: + - '149999805' + x-ratelimit-reset-project-tokens: + - 0s + x-ratelimit-reset-requests: + - 2ms + x-ratelimit-reset-tokens: + - 0s + x-request-id: + - req_FILTERED + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/test_streaming.py b/lib/crewai/tests/test_streaming.py new file mode 100644 index 000000000..66f639d0f --- /dev/null +++ b/lib/crewai/tests/test_streaming.py @@ -0,0 +1,717 @@ +"""Tests for streaming output functionality in crews and flows.""" + +import asyncio +from collections.abc import AsyncIterator, Generator +from typing import Any +from unittest.mock import MagicMock, patch + +import pytest + +from crewai import Agent, Crew, Task +from crewai.events.event_bus import crewai_event_bus +from crewai.events.types.llm_events import LLMStreamChunkEvent, ToolCall, FunctionCall +from crewai.flow.flow import Flow, start +from crewai.types.streaming import ( + CrewStreamingOutput, + FlowStreamingOutput, + StreamChunk, + StreamChunkType, + ToolCallChunk, +) + + +@pytest.fixture +def researcher() -> Agent: + """Create a researcher agent for testing.""" + return Agent( + role="Researcher", + goal="Research and analyze topics thoroughly", + backstory="You are an expert researcher with deep analytical skills.", + allow_delegation=False, + ) + + +@pytest.fixture +def simple_task(researcher: Agent) -> Task: + """Create a simple task for testing.""" + return Task( + description="Write a brief analysis of AI trends", + expected_output="A concise analysis of current AI trends", + agent=researcher, + ) + + +@pytest.fixture +def simple_crew(researcher: Agent, simple_task: Task) -> Crew: + """Create a simple crew with one agent and one task.""" + return Crew( + agents=[researcher], + tasks=[simple_task], + verbose=False, + ) + + +@pytest.fixture +def streaming_crew(researcher: Agent, simple_task: Task) -> Crew: + """Create a streaming crew with one agent and one task.""" + return Crew( + agents=[researcher], + tasks=[simple_task], + verbose=False, + stream=True, + ) + + +class TestStreamChunk: + """Tests for StreamChunk model.""" + + def test_stream_chunk_creation(self) -> None: + """Test creating a basic stream chunk.""" + chunk = StreamChunk( + content="Hello, world!", + chunk_type=StreamChunkType.TEXT, + task_index=0, + task_name="Test Task", + task_id="task-123", + agent_role="Researcher", + agent_id="agent-456", + ) + assert chunk.content == "Hello, world!" + assert chunk.chunk_type == StreamChunkType.TEXT + assert chunk.task_index == 0 + assert chunk.task_name == "Test Task" + assert str(chunk) == "Hello, world!" + + def test_stream_chunk_with_tool_call(self) -> None: + """Test creating a stream chunk with tool call information.""" + tool_call = ToolCallChunk( + tool_id="call-123", + tool_name="search", + arguments='{"query": "AI trends"}', + index=0, + ) + chunk = StreamChunk( + content="", + chunk_type=StreamChunkType.TOOL_CALL, + tool_call=tool_call, + ) + assert chunk.chunk_type == StreamChunkType.TOOL_CALL + assert chunk.tool_call is not None + assert chunk.tool_call.tool_name == "search" + + +class TestCrewStreamingOutput: + """Tests for CrewStreamingOutput functionality.""" + + def test_result_before_iteration_raises_error(self) -> None: + """Test that accessing result before iteration raises error.""" + + def empty_gen() -> Generator[StreamChunk, None, None]: + yield StreamChunk(content="test") + + streaming = CrewStreamingOutput(sync_iterator=empty_gen()) + with pytest.raises(RuntimeError, match="Streaming has not completed yet"): + _ = streaming.result + + def test_is_completed_property(self) -> None: + """Test the is_completed property.""" + + def simple_gen() -> Generator[StreamChunk, None, None]: + yield StreamChunk(content="test") + + streaming = CrewStreamingOutput(sync_iterator=simple_gen()) + assert streaming.is_completed is False + + list(streaming) + assert streaming.is_completed is True + + def test_get_full_text(self) -> None: + """Test getting full text from chunks.""" + + def gen() -> Generator[StreamChunk, None, None]: + yield StreamChunk(content="Hello ") + yield StreamChunk(content="World!") + yield StreamChunk(content="", chunk_type=StreamChunkType.TOOL_CALL) + + streaming = CrewStreamingOutput(sync_iterator=gen()) + list(streaming) + assert streaming.get_full_text() == "Hello World!" + + def test_chunks_property(self) -> None: + """Test accessing collected chunks.""" + + def gen() -> Generator[StreamChunk, None, None]: + yield StreamChunk(content="chunk1") + yield StreamChunk(content="chunk2") + + streaming = CrewStreamingOutput(sync_iterator=gen()) + list(streaming) + assert len(streaming.chunks) == 2 + assert streaming.chunks[0].content == "chunk1" + + +class TestFlowStreamingOutput: + """Tests for FlowStreamingOutput functionality.""" + + def test_result_before_iteration_raises_error(self) -> None: + """Test that accessing result before iteration raises error.""" + + def empty_gen() -> Generator[StreamChunk, None, None]: + yield StreamChunk(content="test") + + streaming = FlowStreamingOutput(sync_iterator=empty_gen()) + with pytest.raises(RuntimeError, match="Streaming has not completed yet"): + _ = streaming.result + + def test_is_completed_property(self) -> None: + """Test the is_completed property.""" + + def simple_gen() -> Generator[StreamChunk, None, None]: + yield StreamChunk(content="test") + + streaming = FlowStreamingOutput(sync_iterator=simple_gen()) + assert streaming.is_completed is False + + list(streaming) + assert streaming.is_completed is True + + +class TestCrewKickoffStreaming: + """Tests for Crew(stream=True).kickoff() method.""" + + def test_kickoff_streaming_returns_streaming_output(self, streaming_crew: Crew) -> None: + """Test that kickoff with stream=True returns CrewStreamingOutput.""" + with patch.object(Crew, "kickoff") as mock_kickoff: + mock_output = MagicMock() + mock_output.raw = "Test output" + + def side_effect(*args: Any, **kwargs: Any) -> Any: + return mock_output + mock_kickoff.side_effect = side_effect + + streaming = streaming_crew.kickoff() + assert isinstance(streaming, CrewStreamingOutput) + + def test_kickoff_streaming_captures_chunks(self, researcher: Agent, simple_task: Task) -> None: + """Test that streaming captures LLM chunks.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + verbose=False, + stream=True, + ) + + mock_output = MagicMock() + mock_output.raw = "Test output" + + original_kickoff = Crew.kickoff + call_count = [0] + + def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return original_kickoff(self, inputs) + else: + crewai_event_bus.emit( + crew, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="Hello ", + ), + ) + crewai_event_bus.emit( + crew, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="World!", + ), + ) + return mock_output + + with patch.object(Crew, "kickoff", mock_kickoff_fn): + streaming = crew.kickoff() + assert isinstance(streaming, CrewStreamingOutput) + chunks = list(streaming) + + assert len(chunks) >= 2 + contents = [c.content for c in chunks] + assert "Hello " in contents + assert "World!" in contents + + def test_kickoff_streaming_result_available_after_iteration( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test that result is available after iterating all chunks.""" + mock_output = MagicMock() + mock_output.raw = "Final result" + + def gen() -> Generator[StreamChunk, None, None]: + yield StreamChunk(content="test chunk") + + streaming = CrewStreamingOutput(sync_iterator=gen()) + + # Iterate all chunks + _ = list(streaming) + + # Simulate what _finalize_streaming does + streaming._set_result(mock_output) + + result = streaming.result + assert result.raw == "Final result" + + def test_kickoff_streaming_handles_tool_calls(self, researcher: Agent, simple_task: Task) -> None: + """Test that streaming handles tool call chunks correctly.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + verbose=False, + stream=True, + ) + + mock_output = MagicMock() + mock_output.raw = "Test output" + + original_kickoff = Crew.kickoff + call_count = [0] + + def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return original_kickoff(self, inputs) + else: + crewai_event_bus.emit( + crew, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="", + tool_call=ToolCall( + id="call-123", + function=FunctionCall( + name="search", + arguments='{"query": "test"}', + ), + type="function", + index=0, + ), + ), + ) + return mock_output + + with patch.object(Crew, "kickoff", mock_kickoff_fn): + streaming = crew.kickoff() + assert isinstance(streaming, CrewStreamingOutput) + chunks = list(streaming) + + tool_chunks = [c for c in chunks if c.chunk_type == StreamChunkType.TOOL_CALL] + assert len(tool_chunks) >= 1 + assert tool_chunks[0].tool_call is not None + assert tool_chunks[0].tool_call.tool_name == "search" + + +class TestCrewKickoffStreamingAsync: + """Tests for Crew(stream=True).kickoff_async() method.""" + + @pytest.mark.asyncio + async def test_kickoff_streaming_async_returns_streaming_output( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test that kickoff_async with stream=True returns CrewStreamingOutput.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + verbose=False, + stream=True, + ) + + mock_output = MagicMock() + mock_output.raw = "Test output" + + original_kickoff = Crew.kickoff + call_count = [0] + + def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return original_kickoff(self, inputs) + else: + return mock_output + + with patch.object(Crew, "kickoff", mock_kickoff_fn): + streaming = await crew.kickoff_async() + + assert isinstance(streaming, CrewStreamingOutput) + + @pytest.mark.asyncio + async def test_kickoff_streaming_async_captures_chunks( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test that async streaming captures LLM chunks.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + verbose=False, + stream=True, + ) + + mock_output = MagicMock() + mock_output.raw = "Test output" + + def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + crewai_event_bus.emit( + crew, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="Async ", + ), + ) + crewai_event_bus.emit( + crew, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="Stream!", + ), + ) + return mock_output + + with patch.object(Crew, "kickoff", mock_kickoff_fn): + streaming = await crew.kickoff_async() + assert isinstance(streaming, CrewStreamingOutput) + chunks: list[StreamChunk] = [] + async for chunk in streaming: + chunks.append(chunk) + + assert len(chunks) >= 2 + contents = [c.content for c in chunks] + assert "Async " in contents + assert "Stream!" in contents + + @pytest.mark.asyncio + async def test_kickoff_streaming_async_result_available_after_iteration( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test that result is available after async iteration.""" + mock_output = MagicMock() + mock_output.raw = "Async result" + + async def async_gen() -> AsyncIterator[StreamChunk]: + yield StreamChunk(content="test chunk") + + streaming = CrewStreamingOutput(async_iterator=async_gen()) + + # Iterate all chunks + async for _ in streaming: + pass + + # Simulate what _finalize_streaming does + streaming._set_result(mock_output) + + result = streaming.result + assert result.raw == "Async result" + + +class TestFlowKickoffStreaming: + """Tests for Flow(stream=True).kickoff() method.""" + + def test_kickoff_streaming_returns_streaming_output(self) -> None: + """Test that flow kickoff with stream=True returns FlowStreamingOutput.""" + + class SimpleFlow(Flow[dict[str, Any]]): + @start() + def generate(self) -> str: + return "result" + + flow = SimpleFlow() + flow.stream = True + streaming = flow.kickoff() + assert isinstance(streaming, FlowStreamingOutput) + + def test_flow_kickoff_streaming_captures_chunks(self) -> None: + """Test that flow streaming captures LLM chunks from crew execution.""" + + class TestFlow(Flow[dict[str, Any]]): + @start() + def run_crew(self) -> str: + return "done" + + flow = TestFlow() + flow.stream = True + + original_kickoff = Flow.kickoff + call_count = [0] + + def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return original_kickoff(self, inputs) + else: + crewai_event_bus.emit( + flow, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="Flow ", + ), + ) + crewai_event_bus.emit( + flow, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="output!", + ), + ) + return "done" + + with patch.object(Flow, "kickoff", mock_kickoff_fn): + streaming = flow.kickoff() + assert isinstance(streaming, FlowStreamingOutput) + chunks = list(streaming) + + assert len(chunks) >= 2 + contents = [c.content for c in chunks] + assert "Flow " in contents + assert "output!" in contents + + def test_flow_kickoff_streaming_result_available(self) -> None: + """Test that flow result is available after iteration.""" + + class TestFlow(Flow[dict[str, Any]]): + @start() + def generate(self) -> str: + return "flow result" + + flow = TestFlow() + flow.stream = True + + original_kickoff = Flow.kickoff + call_count = [0] + + def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return original_kickoff(self, inputs) + else: + return "flow result" + + with patch.object(Flow, "kickoff", mock_kickoff_fn): + streaming = flow.kickoff() + assert isinstance(streaming, FlowStreamingOutput) + _ = list(streaming) + + result = streaming.result + assert result == "flow result" + + +class TestFlowKickoffStreamingAsync: + """Tests for Flow(stream=True).kickoff_async() method.""" + + @pytest.mark.asyncio + async def test_kickoff_streaming_async_returns_streaming_output(self) -> None: + """Test that flow kickoff_async with stream=True returns FlowStreamingOutput.""" + + class SimpleFlow(Flow[dict[str, Any]]): + @start() + async def generate(self) -> str: + return "async result" + + flow = SimpleFlow() + flow.stream = True + streaming = await flow.kickoff_async() + assert isinstance(streaming, FlowStreamingOutput) + + @pytest.mark.asyncio + async def test_flow_kickoff_streaming_async_captures_chunks(self) -> None: + """Test that async flow streaming captures LLM chunks.""" + + class TestFlow(Flow[dict[str, Any]]): + @start() + async def run_crew(self) -> str: + return "done" + + flow = TestFlow() + flow.stream = True + + original_kickoff = Flow.kickoff_async + call_count = [0] + + async def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return await original_kickoff(self, inputs) + else: + await asyncio.sleep(0.01) + crewai_event_bus.emit( + flow, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="Async flow ", + ), + ) + await asyncio.sleep(0.01) + crewai_event_bus.emit( + flow, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="stream!", + ), + ) + await asyncio.sleep(0.01) + return "done" + + with patch.object(Flow, "kickoff_async", mock_kickoff_fn): + streaming = await flow.kickoff_async() + assert isinstance(streaming, FlowStreamingOutput) + chunks: list[StreamChunk] = [] + async for chunk in streaming: + chunks.append(chunk) + + assert len(chunks) >= 2 + contents = [c.content for c in chunks] + assert "Async flow " in contents + assert "stream!" in contents + + @pytest.mark.asyncio + async def test_flow_kickoff_streaming_async_result_available(self) -> None: + """Test that async flow result is available after iteration.""" + + class TestFlow(Flow[dict[str, Any]]): + @start() + async def generate(self) -> str: + return "async flow result" + + flow = TestFlow() + flow.stream = True + + original_kickoff = Flow.kickoff_async + call_count = [0] + + async def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return await original_kickoff(self, inputs) + else: + return "async flow result" + + with patch.object(Flow, "kickoff_async", mock_kickoff_fn): + streaming = await flow.kickoff_async() + assert isinstance(streaming, FlowStreamingOutput) + async for _ in streaming: + pass + + result = streaming.result + assert result == "async flow result" + + +class TestStreamingEdgeCases: + """Tests for edge cases in streaming functionality.""" + + def test_streaming_handles_exceptions(self, researcher: Agent, simple_task: Task) -> None: + """Test that streaming properly propagates exceptions.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + verbose=False, + stream=True, + ) + + original_kickoff = Crew.kickoff + call_count = [0] + + def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return original_kickoff(self, inputs) + else: + raise ValueError("Test error") + + with patch.object(Crew, "kickoff", mock_kickoff_fn): + streaming = crew.kickoff() + with pytest.raises(ValueError, match="Test error"): + list(streaming) + + def test_streaming_with_empty_content_chunks(self) -> None: + """Test streaming when LLM chunks have empty content.""" + mock_output = MagicMock() + mock_output.raw = "No streaming" + + def gen() -> Generator[StreamChunk, None, None]: + yield StreamChunk(content="") + + streaming = CrewStreamingOutput(sync_iterator=gen()) + chunks = list(streaming) + + assert streaming.is_completed + assert len(chunks) == 1 + assert chunks[0].content == "" + + # Simulate what _finalize_streaming does + streaming._set_result(mock_output) + + result = streaming.result + assert result.raw == "No streaming" + + def test_streaming_with_multiple_tasks(self, researcher: Agent) -> None: + """Test streaming with multiple tasks tracks task context.""" + task1 = Task( + description="First task", + expected_output="First output", + agent=researcher, + ) + task2 = Task( + description="Second task", + expected_output="Second output", + agent=researcher, + ) + crew = Crew( + agents=[researcher], + tasks=[task1, task2], + verbose=False, + stream=True, + ) + + mock_output = MagicMock() + mock_output.raw = "Multi-task output" + + original_kickoff = Crew.kickoff + call_count = [0] + + def mock_kickoff_fn(self: Any, inputs: Any = None) -> Any: + call_count[0] += 1 + if call_count[0] == 1: + return original_kickoff(self, inputs) + else: + crewai_event_bus.emit( + crew, + LLMStreamChunkEvent( + type="llm_stream_chunk", + chunk="Task 1", + task_name="First task", + ), + ) + return mock_output + + with patch.object(Crew, "kickoff", mock_kickoff_fn): + streaming = crew.kickoff() + assert isinstance(streaming, CrewStreamingOutput) + chunks = list(streaming) + + assert len(chunks) >= 1 + assert streaming.is_completed + + +class TestStreamingImports: + """Tests for correct imports of streaming types.""" + + def test_streaming_types_importable_from_types_module(self) -> None: + """Test that streaming types can be imported from crewai.types.streaming.""" + from crewai.types.streaming import ( + CrewStreamingOutput, + FlowStreamingOutput, + StreamChunk, + StreamChunkType, + ToolCallChunk, + ) + + assert CrewStreamingOutput is not None + assert FlowStreamingOutput is not None + assert StreamChunk is not None + assert StreamChunkType is not None + assert ToolCallChunk is not None diff --git a/lib/crewai/tests/test_streaming_integration.py b/lib/crewai/tests/test_streaming_integration.py new file mode 100644 index 000000000..00066e6ea --- /dev/null +++ b/lib/crewai/tests/test_streaming_integration.py @@ -0,0 +1,290 @@ +"""Integration tests for streaming with real LLM interactions using cassettes.""" + +import pytest + +from crewai import Agent, Crew, Task +from crewai.flow.flow import Flow, start +from crewai.types.streaming import CrewStreamingOutput, FlowStreamingOutput + + +@pytest.fixture +def researcher() -> Agent: + """Create a researcher agent for testing.""" + return Agent( + role="Research Analyst", + goal="Gather comprehensive information on topics", + backstory="You are an experienced researcher with excellent analytical skills.", + allow_delegation=False, + ) + + +@pytest.fixture +def simple_task(researcher: Agent) -> Task: + """Create a simple research task.""" + return Task( + description="Research the latest developments in {topic}", + expected_output="A brief summary of recent developments", + agent=researcher, + ) + + +class TestStreamingCrewIntegration: + """Integration tests for crew streaming that match documentation examples.""" + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_basic_crew_streaming_from_docs( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test basic streaming example from documentation.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + stream=True, + verbose=False, + ) + + streaming = crew.kickoff(inputs={"topic": "artificial intelligence"}) + + assert isinstance(streaming, CrewStreamingOutput) + + chunks = [] + for chunk in streaming: + chunks.append(chunk.content) + + assert len(chunks) > 0 + + result = streaming.result + assert result.raw is not None + assert len(result.raw) > 0 + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_streaming_with_chunk_context_from_docs( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test streaming with chunk context example from documentation.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + stream=True, + verbose=False, + ) + + streaming = crew.kickoff(inputs={"topic": "AI"}) + + chunk_contexts = [] + for chunk in streaming: + chunk_contexts.append( + { + "task_name": chunk.task_name, + "task_index": chunk.task_index, + "agent_role": chunk.agent_role, + "content": chunk.content, + "type": chunk.chunk_type, + } + ) + + assert len(chunk_contexts) > 0 + assert all("agent_role" in ctx for ctx in chunk_contexts) + + result = streaming.result + assert result is not None + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_streaming_properties_from_docs( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test streaming properties example from documentation.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + stream=True, + verbose=False, + ) + + streaming = crew.kickoff(inputs={"topic": "AI"}) + + for _ in streaming: + pass + + assert streaming.is_completed is True + full_text = streaming.get_full_text() + assert len(full_text) > 0 + assert len(streaming.chunks) > 0 + + result = streaming.result + assert result.raw is not None + + @pytest.mark.vcr(filter_headers=["authorization"]) + @pytest.mark.asyncio + async def test_async_streaming_from_docs( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test async streaming example from documentation.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + stream=True, + verbose=False, + ) + + streaming = await crew.kickoff_async(inputs={"topic": "AI"}) + + assert isinstance(streaming, CrewStreamingOutput) + + chunks = [] + async for chunk in streaming: + chunks.append(chunk.content) + + assert len(chunks) > 0 + + result = streaming.result + assert result.raw is not None + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_kickoff_for_each_streaming_from_docs( + self, researcher: Agent, simple_task: Task + ) -> None: + """Test kickoff_for_each streaming example from documentation.""" + crew = Crew( + agents=[researcher], + tasks=[simple_task], + stream=True, + verbose=False, + ) + + inputs_list = [{"topic": "AI in healthcare"}, {"topic": "AI in finance"}] + + streaming_outputs = crew.kickoff_for_each(inputs=inputs_list) + + assert len(streaming_outputs) == 2 + assert all(isinstance(s, CrewStreamingOutput) for s in streaming_outputs) + + results = [] + for streaming in streaming_outputs: + for _ in streaming: + pass + + result = streaming.result + results.append(result) + + assert len(results) == 2 + assert all(r.raw is not None for r in results) + + +class TestStreamingFlowIntegration: + """Integration tests for flow streaming that match documentation examples.""" + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_basic_flow_streaming_from_docs(self) -> None: + """Test basic flow streaming example from documentation.""" + + class ResearchFlow(Flow): + stream = True + + @start() + def research_topic(self) -> str: + researcher = Agent( + role="Research Analyst", + goal="Research topics thoroughly", + backstory="Expert researcher with analytical skills", + allow_delegation=False, + ) + + task = Task( + description="Research AI trends and provide insights", + expected_output="Detailed research findings", + agent=researcher, + ) + + crew = Crew( + agents=[researcher], + tasks=[task], + stream=True, + verbose=False, + ) + + streaming = crew.kickoff() + for _ in streaming: + pass + return streaming.result.raw + + flow = ResearchFlow() + + streaming = flow.kickoff() + + assert isinstance(streaming, FlowStreamingOutput) + + chunks = [] + for chunk in streaming: + chunks.append(chunk.content) + + assert len(chunks) > 0 + + result = streaming.result + assert result is not None + + @pytest.mark.vcr(filter_headers=["authorization"]) + def test_flow_streaming_properties_from_docs(self) -> None: + """Test flow streaming properties example from documentation.""" + + class SimpleFlow(Flow): + stream = True + + @start() + def execute(self) -> str: + return "Flow result" + + flow = SimpleFlow() + streaming = flow.kickoff() + + for _ in streaming: + pass + + assert streaming.is_completed is True + streaming.get_full_text() + assert len(streaming.chunks) >= 0 + + result = streaming.result + assert result is not None + + @pytest.mark.vcr(filter_headers=["authorization"]) + @pytest.mark.asyncio + async def test_async_flow_streaming_from_docs(self) -> None: + """Test async flow streaming example from documentation.""" + + class AsyncResearchFlow(Flow): + stream = True + + @start() + def research(self) -> str: + researcher = Agent( + role="Researcher", + goal="Research topics", + backstory="Expert researcher", + allow_delegation=False, + ) + + task = Task( + description="Research AI", + expected_output="Research findings", + agent=researcher, + ) + + crew = Crew(agents=[researcher], tasks=[task], stream=True, verbose=False) + streaming = crew.kickoff() + for _ in streaming: + pass + return streaming.result.raw + + flow = AsyncResearchFlow() + + streaming = await flow.kickoff_async() + + assert isinstance(streaming, FlowStreamingOutput) + + chunks = [] + async for chunk in streaming: + chunks.append(chunk.content) + + result = streaming.result + assert result is not None From 9c84475691612cf69db2013fba8b62765360a41d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Moura?= Date: Mon, 24 Nov 2025 13:15:24 -0800 Subject: [PATCH 11/19] Update AMP to AOP (#3941) Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com> --- README.md | 28 +++++++++---------- docs/en/api-reference/introduction.mdx | 12 ++++---- docs/en/concepts/agents.mdx | 2 +- docs/en/concepts/cli.mdx | 24 ++++++++-------- docs/en/concepts/event-listener.mdx | 2 +- docs/en/concepts/tasks.mdx | 2 +- docs/en/concepts/tools.mdx | 2 +- docs/en/enterprise/features/rbac.mdx | 8 +++--- .../features/tools-and-integrations.mdx | 8 +++--- docs/en/enterprise/features/traces.mdx | 6 ++-- .../enterprise/features/webhook-streaming.mdx | 2 +- .../enterprise/guides/automation-triggers.mdx | 4 +-- .../enterprise/guides/azure-openai-setup.mdx | 6 ++-- docs/en/enterprise/guides/build-crew.mdx | 2 +- .../guides/capture_telemetry_logs.mdx | 4 +-- docs/en/enterprise/guides/deploy-crew.mdx | 16 +++++------ .../enterprise/guides/enable-crew-studio.mdx | 12 ++++---- docs/en/enterprise/guides/gmail-trigger.mdx | 2 +- .../guides/google-calendar-trigger.mdx | 2 +- .../guides/google-drive-trigger.mdx | 2 +- docs/en/enterprise/guides/hubspot-trigger.mdx | 14 +++++----- docs/en/enterprise/guides/kickoff-crew.mdx | 8 +++--- .../guides/microsoft-teams-trigger.mdx | 2 +- .../en/enterprise/guides/onedrive-trigger.mdx | 2 +- docs/en/enterprise/guides/outlook-trigger.mdx | 2 +- .../guides/react-component-export.mdx | 4 +-- .../enterprise/guides/salesforce-trigger.mdx | 6 ++-- docs/en/enterprise/guides/team-management.mdx | 10 +++---- docs/en/enterprise/guides/tool-repository.mdx | 14 ++++------ docs/en/enterprise/guides/update-crew.mdx | 8 +++--- .../enterprise/guides/webhook-automation.mdx | 8 +++--- docs/en/enterprise/guides/zapier-trigger.mdx | 20 ++++++------- docs/en/enterprise/integrations/asana.mdx | 4 +-- docs/en/enterprise/integrations/box.mdx | 4 +-- docs/en/enterprise/integrations/clickup.mdx | 4 +-- docs/en/enterprise/integrations/github.mdx | 4 +-- docs/en/enterprise/integrations/gmail.mdx | 4 +-- .../integrations/google_calendar.mdx | 4 +-- .../integrations/google_contacts.mdx | 4 +-- .../enterprise/integrations/google_docs.mdx | 4 +-- .../enterprise/integrations/google_drive.mdx | 4 +-- .../enterprise/integrations/google_sheets.mdx | 4 +-- .../enterprise/integrations/google_slides.mdx | 4 +-- docs/en/enterprise/integrations/hubspot.mdx | 4 +-- docs/en/enterprise/integrations/jira.mdx | 4 +-- docs/en/enterprise/integrations/linear.mdx | 4 +-- .../integrations/microsoft_excel.mdx | 4 +-- .../integrations/microsoft_onedrive.mdx | 4 +-- .../integrations/microsoft_outlook.mdx | 4 +-- .../integrations/microsoft_sharepoint.mdx | 4 +-- .../integrations/microsoft_teams.mdx | 4 +-- .../integrations/microsoft_word.mdx | 4 +-- docs/en/enterprise/integrations/notion.mdx | 4 +-- .../en/enterprise/integrations/salesforce.mdx | 4 +-- docs/en/enterprise/integrations/shopify.mdx | 4 +-- docs/en/enterprise/integrations/slack.mdx | 4 +-- docs/en/enterprise/integrations/stripe.mdx | 4 +-- docs/en/enterprise/integrations/zendesk.mdx | 4 +-- docs/en/enterprise/introduction.mdx | 8 +++--- .../resources/frequently-asked-questions.mdx | 2 +- docs/en/installation.mdx | 2 +- docs/en/learn/llm-selection-guide.mdx | 4 +-- docs/en/mcp/dsl-integration.mdx | 6 ++-- docs/en/mcp/overview.mdx | 6 ++-- docs/en/observability/tracing.mdx | 20 ++++++------- docs/en/quickstart.mdx | 14 +++++----- docs/enterprise-api.base.yaml | 12 ++++---- docs/enterprise-api.en.yaml | 12 ++++---- docs/enterprise-api.ko.yaml | 2 +- docs/enterprise-api.pt-BR.yaml | 12 ++++---- docs/ko/api-reference/introduction.mdx | 8 +++--- docs/ko/concepts/agents.mdx | 2 +- docs/ko/concepts/cli.mdx | 22 +++++++-------- docs/ko/concepts/event-listener.mdx | 2 +- docs/ko/enterprise/features/rbac.mdx | 6 ++-- .../features/tools-and-integrations.mdx | 4 +-- docs/ko/enterprise/features/traces.mdx | 4 +-- .../enterprise/features/webhook-streaming.mdx | 2 +- .../enterprise/guides/automation-triggers.mdx | 4 +-- .../enterprise/guides/azure-openai-setup.mdx | 6 ++-- docs/ko/enterprise/guides/build-crew.mdx | 2 +- docs/ko/enterprise/guides/deploy-crew.mdx | 14 +++++----- .../enterprise/guides/enable-crew-studio.mdx | 12 ++++---- docs/ko/enterprise/guides/gmail-trigger.mdx | 2 +- .../guides/google-calendar-trigger.mdx | 2 +- .../guides/google-drive-trigger.mdx | 2 +- docs/ko/enterprise/guides/hubspot-trigger.mdx | 14 +++++----- docs/ko/enterprise/guides/kickoff-crew.mdx | 8 +++--- .../guides/microsoft-teams-trigger.mdx | 2 +- .../ko/enterprise/guides/onedrive-trigger.mdx | 2 +- docs/ko/enterprise/guides/outlook-trigger.mdx | 2 +- .../guides/react-component-export.mdx | 4 +-- .../enterprise/guides/salesforce-trigger.mdx | 6 ++-- docs/ko/enterprise/guides/team-management.mdx | 10 +++---- docs/ko/enterprise/guides/tool-repository.mdx | 8 +++--- docs/ko/enterprise/guides/update-crew.mdx | 8 +++--- .../enterprise/guides/webhook-automation.mdx | 8 +++--- docs/ko/enterprise/guides/zapier-trigger.mdx | 20 ++++++------- docs/ko/enterprise/integrations/asana.mdx | 4 +-- docs/ko/enterprise/integrations/box.mdx | 4 +-- docs/ko/enterprise/integrations/clickup.mdx | 4 +-- docs/ko/enterprise/integrations/github.mdx | 4 +-- docs/ko/enterprise/integrations/gmail.mdx | 4 +-- .../integrations/google_calendar.mdx | 4 +-- .../integrations/google_contacts.mdx | 4 +-- .../enterprise/integrations/google_docs.mdx | 4 +-- .../enterprise/integrations/google_drive.mdx | 4 +-- .../enterprise/integrations/google_sheets.mdx | 4 +-- .../enterprise/integrations/google_slides.mdx | 4 +-- docs/ko/enterprise/integrations/hubspot.mdx | 4 +-- docs/ko/enterprise/integrations/jira.mdx | 4 +-- docs/ko/enterprise/integrations/linear.mdx | 4 +-- .../integrations/microsoft_excel.mdx | 4 +-- .../integrations/microsoft_onedrive.mdx | 4 +-- .../integrations/microsoft_outlook.mdx | 4 +-- .../integrations/microsoft_sharepoint.mdx | 4 +-- .../integrations/microsoft_teams.mdx | 4 +-- .../integrations/microsoft_word.mdx | 4 +-- docs/ko/enterprise/integrations/notion.mdx | 4 +-- .../ko/enterprise/integrations/salesforce.mdx | 4 +-- docs/ko/enterprise/integrations/shopify.mdx | 4 +-- docs/ko/enterprise/integrations/slack.mdx | 4 +-- docs/ko/enterprise/integrations/stripe.mdx | 4 +-- docs/ko/enterprise/integrations/zendesk.mdx | 4 +-- docs/ko/enterprise/introduction.mdx | 6 ++-- .../resources/frequently-asked-questions.mdx | 2 +- docs/ko/installation.mdx | 2 +- docs/ko/learn/llm-selection-guide.mdx | 4 +-- docs/ko/mcp/dsl-integration.mdx | 6 ++-- docs/ko/mcp/overview.mdx | 2 +- docs/ko/quickstart.mdx | 14 +++++----- docs/pt-BR/api-reference/introduction.mdx | 12 ++++---- docs/pt-BR/concepts/agents.mdx | 2 +- docs/pt-BR/concepts/cli.mdx | 22 +++++++-------- docs/pt-BR/concepts/event-listener.mdx | 2 +- docs/pt-BR/concepts/tasks.mdx | 2 +- docs/pt-BR/concepts/tools.mdx | 2 +- docs/pt-BR/enterprise/features/rbac.mdx | 8 +++--- .../features/tools-and-integrations.mdx | 4 +-- docs/pt-BR/enterprise/features/traces.mdx | 6 ++-- .../enterprise/features/webhook-streaming.mdx | 2 +- .../enterprise/guides/automation-triggers.mdx | 4 +-- .../enterprise/guides/azure-openai-setup.mdx | 4 +-- docs/pt-BR/enterprise/guides/build-crew.mdx | 2 +- docs/pt-BR/enterprise/guides/deploy-crew.mdx | 16 +++++------ .../enterprise/guides/enable-crew-studio.mdx | 12 ++++---- .../pt-BR/enterprise/guides/gmail-trigger.mdx | 2 +- .../guides/google-calendar-trigger.mdx | 2 +- .../guides/google-drive-trigger.mdx | 2 +- .../enterprise/guides/hubspot-trigger.mdx | 14 +++++----- docs/pt-BR/enterprise/guides/kickoff-crew.mdx | 8 +++--- .../guides/microsoft-teams-trigger.mdx | 2 +- .../enterprise/guides/onedrive-trigger.mdx | 2 +- .../enterprise/guides/outlook-trigger.mdx | 2 +- .../guides/react-component-export.mdx | 4 +-- .../enterprise/guides/salesforce-trigger.mdx | 6 ++-- .../enterprise/guides/team-management.mdx | 10 +++---- .../enterprise/guides/tool-repository.mdx | 8 +++--- docs/pt-BR/enterprise/guides/update-crew.mdx | 8 +++--- .../enterprise/guides/webhook-automation.mdx | 8 +++--- .../enterprise/guides/zapier-trigger.mdx | 20 ++++++------- docs/pt-BR/enterprise/integrations/asana.mdx | 4 +-- docs/pt-BR/enterprise/integrations/box.mdx | 4 +-- .../pt-BR/enterprise/integrations/clickup.mdx | 4 +-- docs/pt-BR/enterprise/integrations/github.mdx | 4 +-- docs/pt-BR/enterprise/integrations/gmail.mdx | 4 +-- .../integrations/google_calendar.mdx | 4 +-- .../integrations/google_contacts.mdx | 4 +-- .../enterprise/integrations/google_docs.mdx | 4 +-- .../enterprise/integrations/google_drive.mdx | 4 +-- .../enterprise/integrations/google_sheets.mdx | 4 +-- .../enterprise/integrations/google_slides.mdx | 4 +-- .../pt-BR/enterprise/integrations/hubspot.mdx | 4 +-- docs/pt-BR/enterprise/integrations/jira.mdx | 4 +-- docs/pt-BR/enterprise/integrations/linear.mdx | 4 +-- .../integrations/microsoft_excel.mdx | 4 +-- .../integrations/microsoft_onedrive.mdx | 4 +-- .../integrations/microsoft_outlook.mdx | 4 +-- .../integrations/microsoft_sharepoint.mdx | 4 +-- .../integrations/microsoft_teams.mdx | 4 +-- .../integrations/microsoft_word.mdx | 4 +-- docs/pt-BR/enterprise/integrations/notion.mdx | 4 +-- .../enterprise/integrations/salesforce.mdx | 4 +-- .../pt-BR/enterprise/integrations/shopify.mdx | 4 +-- docs/pt-BR/enterprise/integrations/slack.mdx | 4 +-- docs/pt-BR/enterprise/integrations/stripe.mdx | 4 +-- .../pt-BR/enterprise/integrations/zendesk.mdx | 4 +-- docs/pt-BR/enterprise/introduction.mdx | 8 +++--- .../resources/frequently-asked-questions.mdx | 2 +- docs/pt-BR/installation.mdx | 2 +- docs/pt-BR/learn/llm-selection-guide.mdx | 4 +-- docs/pt-BR/mcp/dsl-integration.mdx | 6 ++-- docs/pt-BR/mcp/overview.mdx | 2 +- docs/pt-BR/quickstart.mdx | 14 +++++----- .../generate_crewai_automation_tool/README.md | 4 +-- .../generate_crewai_automation_tool.py | 6 ++-- lib/crewai-tools/tool.specs.json | 12 ++++---- lib/crewai/README.md | 28 +++++++++---------- lib/crewai/src/crewai/agent/core.py | 4 +-- .../crewai/agents/agent_builder/base_agent.py | 2 +- .../src/crewai/cli/authentication/main.py | 4 +-- lib/crewai/src/crewai/cli/cli.py | 4 +-- lib/crewai/src/crewai/cli/config.py | 2 +- lib/crewai/src/crewai/cli/enterprise/main.py | 2 +- .../cli/authentication/test_auth_main.py | 4 +-- 205 files changed, 592 insertions(+), 594 deletions(-) diff --git a/README.md b/README.md index a448e6355..5da3e45b8 100644 --- a/README.md +++ b/README.md @@ -62,9 +62,9 @@ With over 100,000 developers certified through our community courses at [learn.crewai.com](https://learn.crewai.com), CrewAI is rapidly becoming the standard for enterprise-ready AI automation. -# CrewAI AMP Suite +# CrewAI AOP Suite -CrewAI AMP Suite is a comprehensive bundle tailored for organizations that require secure, scalable, and easy-to-manage agent-driven automation. +CrewAI AOP Suite is a comprehensive bundle tailored for organizations that require secure, scalable, and easy-to-manage agent-driven automation. You can try one part of the suite the [Crew Control Plane for free](https://app.crewai.com) @@ -76,9 +76,9 @@ You can try one part of the suite the [Crew Control Plane for free](https://app. - **Advanced Security**: Built-in robust security and compliance measures ensuring safe deployment and management. - **Actionable Insights**: Real-time analytics and reporting to optimize performance and decision-making. - **24/7 Support**: Dedicated enterprise support to ensure uninterrupted operation and quick resolution of issues. -- **On-premise and Cloud Deployment Options**: Deploy CrewAI AMP on-premise or in the cloud, depending on your security and compliance requirements. +- **On-premise and Cloud Deployment Options**: Deploy CrewAI AOP on-premise or in the cloud, depending on your security and compliance requirements. -CrewAI AMP is designed for enterprises seeking a powerful, reliable solution to transform complex business processes into efficient, +CrewAI AOP is designed for enterprises seeking a powerful, reliable solution to transform complex business processes into efficient, intelligent automations. ## Table of contents @@ -674,9 +674,9 @@ CrewAI is released under the [MIT License](https://github.com/crewAIInc/crewAI/b ### Enterprise Features -- [What additional features does CrewAI AMP offer?](#q-what-additional-features-does-crewai-amp-offer) -- [Is CrewAI AMP available for cloud and on-premise deployments?](#q-is-crewai-amp-available-for-cloud-and-on-premise-deployments) -- [Can I try CrewAI AMP for free?](#q-can-i-try-crewai-amp-for-free) +- [What additional features does CrewAI AOP offer?](#q-what-additional-features-does-crewai-amp-offer) +- [Is CrewAI AOP available for cloud and on-premise deployments?](#q-is-crewai-amp-available-for-cloud-and-on-premise-deployments) +- [Can I try CrewAI AOP for free?](#q-can-i-try-crewai-amp-for-free) ### Q: What exactly is CrewAI? @@ -732,17 +732,17 @@ A: Check out practical examples in the [CrewAI-examples repository](https://gith A: 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. -### Q: What additional features does CrewAI AMP offer? +### Q: What additional features does CrewAI AOP offer? -A: 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. +A: CrewAI AOP provides advanced features such as a unified control plane, real-time observability, secure integrations, advanced security, actionable insights, and dedicated 24/7 enterprise support. -### Q: Is CrewAI AMP available for cloud and on-premise deployments? +### Q: Is CrewAI AOP available for cloud and on-premise deployments? -A: Yes, CrewAI AMP supports both cloud-based and on-premise deployment options, allowing enterprises to meet their specific security and compliance requirements. +A: Yes, CrewAI AOP supports both cloud-based and on-premise deployment options, allowing enterprises to meet their specific security and compliance requirements. -### Q: Can I try CrewAI AMP for free? +### Q: Can I try CrewAI AOP for free? -A: Yes, you can explore part of the CrewAI AMP Suite by accessing the [Crew Control Plane](https://app.crewai.com) for free. +A: Yes, you can explore part of the CrewAI AOP Suite by accessing the [Crew Control Plane](https://app.crewai.com) for free. ### Q: Does CrewAI support fine-tuning or training custom models? @@ -762,7 +762,7 @@ A: CrewAI is highly scalable, supporting simple automations and large-scale ente ### Q: Does CrewAI offer debugging and monitoring tools? -A: Yes, CrewAI AMP includes advanced debugging, tracing, and real-time observability features, simplifying the management and troubleshooting of your automations. +A: Yes, CrewAI AOP includes advanced debugging, tracing, and real-time observability features, simplifying the management and troubleshooting of your automations. ### Q: What programming languages does CrewAI support? diff --git a/docs/en/api-reference/introduction.mdx b/docs/en/api-reference/introduction.mdx index 3e952574a..22eb705be 100644 --- a/docs/en/api-reference/introduction.mdx +++ b/docs/en/api-reference/introduction.mdx @@ -1,19 +1,19 @@ --- title: "Introduction" -description: "Complete reference for the CrewAI AMP REST API" +description: "Complete reference for the CrewAI AOP REST API" icon: "code" mode: "wide" --- -# CrewAI AMP API +# CrewAI AOP API -Welcome to the CrewAI AMP API reference. This API allows you to programmatically interact with your deployed crews, enabling integration with your applications, workflows, and services. +Welcome to the CrewAI AOP API reference. This API allows you to programmatically interact with your deployed crews, enabling integration with your applications, workflows, and services. ## Quick Start - Navigate to your crew's detail page in the CrewAI AMP dashboard and copy your Bearer Token from the Status tab. + Navigate to your crew's detail page in the CrewAI AOP dashboard and copy your Bearer Token from the Status tab. @@ -46,7 +46,7 @@ curl -H "Authorization: Bearer YOUR_CREW_TOKEN" \ | **User Bearer Token** | User-scoped access | Limited permissions, suitable for user-specific operations | -You can find both token types in the Status tab of your crew's detail page in the CrewAI AMP dashboard. +You can find both token types in the Status tab of your crew's detail page in the CrewAI AOP dashboard. ## Base URL @@ -82,7 +82,7 @@ The API uses standard HTTP status codes: ## Interactive Testing -**Why no "Send" button?** Since each CrewAI AMP user has their own unique crew URL, we use **reference mode** instead of an interactive playground to avoid confusion. This shows you exactly what the requests should look like without non-functional send buttons. +**Why no "Send" button?** Since each CrewAI AOP user has their own unique crew URL, we use **reference mode** instead of an interactive playground to avoid confusion. This shows you exactly what the requests should look like without non-functional send buttons. Each endpoint page shows you: diff --git a/docs/en/concepts/agents.mdx b/docs/en/concepts/agents.mdx index 2f26a5699..e032e3f5f 100644 --- a/docs/en/concepts/agents.mdx +++ b/docs/en/concepts/agents.mdx @@ -20,7 +20,7 @@ Think of an agent as a specialized team member with specific skills, expertise, -CrewAI AMP includes a Visual Agent Builder that simplifies agent creation and configuration without writing code. Design your agents visually and test them in real-time. +CrewAI AOP includes a Visual Agent Builder that simplifies agent creation and configuration without writing code. Design your agents visually and test them in real-time. ![Visual Agent Builder Screenshot](/images/enterprise/crew-studio-interface.png) diff --git a/docs/en/concepts/cli.mdx b/docs/en/concepts/cli.mdx index dfde91a30..7493faca5 100644 --- a/docs/en/concepts/cli.mdx +++ b/docs/en/concepts/cli.mdx @@ -5,7 +5,7 @@ icon: terminal mode: "wide" --- -Since release 0.140.0, CrewAI AMP started a process of migrating their login provider. As such, the authentication flow via CLI was updated. Users that use Google to login, or that created their account after July 3rd, 2025 will be unable to log in with older versions of the `crewai` library. +Since release 0.140.0, CrewAI AOP started a process of migrating their login provider. As such, the authentication flow via CLI was updated. Users that use Google to login, or that created their account after July 3rd, 2025 will be unable to log in with older versions of the `crewai` library. ## Overview @@ -186,9 +186,9 @@ def crew(self) -> Crew: ### 10. Deploy -Deploy the crew or flow to [CrewAI AMP](https://app.crewai.com). +Deploy the crew or flow to [CrewAI AOP](https://app.crewai.com). -- **Authentication**: You need to be authenticated to deploy to CrewAI AMP. +- **Authentication**: You need to be authenticated to deploy to CrewAI AOP. You can login or create an account with: ```shell Terminal crewai login @@ -203,7 +203,7 @@ Deploy the crew or flow to [CrewAI AMP](https://app.crewai.com). ### 11. Organization Management -Manage your CrewAI AMP organizations. +Manage your CrewAI AOP organizations. ```shell Terminal crewai org [COMMAND] [OPTIONS] @@ -227,17 +227,17 @@ crewai org switch ``` -You must be authenticated to CrewAI AMP to use these organization management commands. +You must be authenticated to CrewAI AOP to use these organization management commands. - **Create a deployment** (continued): - Links the deployment to the corresponding remote GitHub repository (it usually detects this automatically). -- **Deploy the Crew**: Once you are authenticated, you can deploy your crew or flow to CrewAI AMP. +- **Deploy the Crew**: Once you are authenticated, you can deploy your crew or flow to CrewAI AOP. ```shell Terminal crewai deploy push ``` - - Initiates the deployment process on the CrewAI AMP platform. + - Initiates the deployment process on the CrewAI AOP platform. - Upon successful initiation, it will output the Deployment created successfully! message along with the Deployment Name and a unique Deployment ID (UUID). - **Deployment Status**: You can check the status of your deployment with: @@ -262,7 +262,7 @@ You must be authenticated to CrewAI AMP to use these organization management com ```shell Terminal crewai deploy remove ``` - This deletes the deployment from the CrewAI AMP platform. + This deletes the deployment from the CrewAI AOP platform. - **Help Command**: You can get help with the CLI with: ```shell Terminal @@ -270,7 +270,7 @@ You must be authenticated to CrewAI AMP to use these organization management com ``` This shows the help message for the CrewAI Deploy CLI. -Watch this video tutorial for a step-by-step demonstration of deploying your crew to [CrewAI AMP](http://app.crewai.com) using the CLI. +Watch this video tutorial for a step-by-step demonstration of deploying your crew to [CrewAI AOP](http://app.crewai.com) using the CLI.