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Lorenze/tracing v1 (#3279)
* initial setup * feat: enhance CrewKickoffCompletedEvent to include total token usage - Added total_tokens attribute to CrewKickoffCompletedEvent for better tracking of token usage during crew execution. - Updated Crew class to emit total token usage upon kickoff completion. - Removed obsolete context handler and execution context tracker files to streamline event handling. * cleanup * remove print statements for loggers * feat: add CrewAI base URL and improve logging in tracing - Introduced `CREWAI_BASE_URL` constant for easy access to the CrewAI application URL. - Replaced print statements with logging in the `TraceSender` class for better error tracking. - Enhanced the `TraceBatchManager` to provide default values for flow names and removed unnecessary comments. - Implemented singleton pattern in `TraceCollectionListener` to ensure a single instance is used. - Added a new test case to verify that the trace listener correctly collects events during crew execution. * clear * fix: update datetime serialization in tracing interfaces - Removed the 'Z' suffix from datetime serialization in TraceSender and TraceEvent to ensure consistent ISO format. - Added new test cases to validate the functionality of the TraceBatchManager and event collection during crew execution. - Introduced fixtures to clear event bus listeners before each test to maintain isolation. * test: enhance tracing tests with mock authentication token - Added a mock authentication token to the tracing tests to ensure proper setup and event collection. - Updated test methods to include the mock token, improving isolation and reliability of tests related to the TraceListener and BatchManager. - Ensured that the tests validate the correct behavior of event collection during crew execution. * test: refactor tracing tests to improve mock usage - Moved the mock authentication token patching inside the test class to enhance readability and maintainability. - Updated test methods to remove unnecessary mock parameters, streamlining the test signatures. - Ensured that the tests continue to validate the correct behavior of event collection during crew execution while improving isolation. * test: refactor tracing tests for improved mock usage and consistency - Moved mock authentication token patching into individual test methods for better clarity and maintainability. - Corrected the backstory string in the `Agent` instantiation to fix a typo. - Ensured that all tests validate the correct behavior of event collection during crew execution while enhancing isolation and readability. * test: add new tracing test for disabled trace listener - Introduced a new test case to verify that the trace listener does not make HTTP calls when tracing is disabled via environment variables. - Enhanced existing tests by mocking PlusAPI HTTP calls to avoid authentication and network requests, improving test isolation and reliability. - Updated the test setup to ensure proper initialization of the trace listener and its components during crew execution. * refactor: update LLM class to utilize new completion function and improve cost calculation - Replaced direct calls to `litellm.completion` with a new import for better clarity and maintainability. - Introduced a new optional attribute `completion_cost` in the LLM class to track the cost of completions. - Updated the handling of completion responses to ensure accurate cost calculations and improved error handling. - Removed outdated test cassettes for gemini models to streamline test suite and avoid redundancy. - Enhanced existing tests to reflect changes in the LLM class and ensure proper functionality. * test: enhance tracing tests with additional request and response scenarios - Added new test cases to validate the behavior of the trace listener and batch manager when handling 404 responses from the tracing API. - Updated existing test cassettes to include detailed request and response structures, ensuring comprehensive coverage of edge cases. - Improved mock setup to avoid unnecessary network calls and enhance test reliability. - Ensured that the tests validate the correct behavior of event collection during crew execution, particularly in scenarios where the tracing service is unavailable. * feat: enable conditional tracing based on environment variable - Added support for enabling or disabling the trace listener based on the `CREWAI_TRACING_ENABLED` environment variable. - Updated the `Crew` class to conditionally set up the trace listener only when tracing is enabled, improving performance and resource management. - Refactored test cases to ensure proper cleanup of event bus listeners before and after each test, enhancing test reliability and isolation. - Improved mock setup in tracing tests to validate the behavior of the trace listener when tracing is disabled. * fix: downgrade litellm version from 1.74.9 to 1.74.3 - Updated the `pyproject.toml` and `uv.lock` files to reflect the change in the `litellm` dependency version. - This downgrade addresses compatibility issues and ensures stability in the project environment. * refactor: improve tracing test setup by moving mock authentication token patching - Removed the module-level patch for the authentication token and implemented a fixture to mock the token for all tests in the class, enhancing test isolation and readability. - Updated the event bus clearing logic to ensure original handlers are restored after tests, improving reliability of the test environment. - This refactor streamlines the test setup and ensures consistent behavior across tracing tests. * test: enhance tracing test setup with comprehensive mock authentication - Expanded the mock authentication token patching to cover all instances where `get_auth_token` is used across different modules, ensuring consistent behavior in tests. - Introduced a new fixture to reset tracing singleton instances between tests, improving test isolation and reliability. - This update enhances the overall robustness of the tracing tests by ensuring that all necessary components are properly mocked and reset, leading to more reliable test outcomes. * just drop the test for now * refactor: comment out completion-related code in LLM and LLM event classes - Commented out the `completion` and `completion_cost` imports and their usage in the `LLM` class to prevent potential issues during execution. - Updated the `LLMCallCompletedEvent` class to comment out the `response_cost` attribute, ensuring consistency with the changes in the LLM class. - This refactor aims to streamline the code and prepare for future updates without affecting current functionality. * refactor: update LLM response handling in LiteAgent - Commented out the `response_cost` attribute in the LLM response handling to align with recent refactoring in the LLM class. - This change aims to maintain consistency in the codebase and prepare for future updates without affecting current functionality. * refactor: remove commented-out response cost attributes in LLM and LiteAgent - Commented out the `response_cost` attribute in both the `LiteAgent` and `LLM` classes to maintain consistency with recent refactoring efforts. - This change aligns with previous updates aimed at streamlining the codebase and preparing for future enhancements without impacting current functionality. * bring back litellm upgrade version
This commit is contained in:
Lorenze Jay
@@ -17,6 +17,7 @@ class PlusAPI:
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ORGANIZATIONS_RESOURCE = "/crewai_plus/api/v1/me/organizations"
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CREWS_RESOURCE = "/crewai_plus/api/v1/crews"
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AGENTS_RESOURCE = "/crewai_plus/api/v1/agents"
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TRACING_RESOURCE = "/crewai_plus/api/v1/tracing"
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def __init__(self, api_key: str) -> None:
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self.api_key = api_key
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@@ -114,3 +115,25 @@ class PlusAPI:
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def get_organizations(self) -> requests.Response:
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return self._make_request("GET", self.ORGANIZATIONS_RESOURCE)
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def send_trace_batch(self, payload) -> requests.Response:
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return self._make_request("POST", self.TRACING_RESOURCE, json=payload)
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def initialize_trace_batch(self, payload) -> requests.Response:
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return self._make_request(
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"POST", f"{self.TRACING_RESOURCE}/batches", json=payload
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)
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def send_trace_events(self, trace_batch_id: str, payload) -> requests.Response:
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return self._make_request(
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"POST",
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f"{self.TRACING_RESOURCE}/batches/{trace_batch_id}/events",
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json=payload,
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)
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def finalize_trace_batch(self, trace_batch_id: str, payload) -> requests.Response:
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return self._make_request(
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"PATCH",
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f"{self.TRACING_RESOURCE}/batches/{trace_batch_id}/finalize",
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json=payload,
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)
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@@ -1,3 +1,4 @@
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import os
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import asyncio
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import json
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import re
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@@ -72,6 +73,11 @@ from crewai.utilities.events.crew_events import (
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)
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from crewai.utilities.events.crewai_event_bus import crewai_event_bus
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from crewai.utilities.events.event_listener import EventListener
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from crewai.utilities.events.listeners.tracing.trace_listener import (
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TraceCollectionListener,
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)
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from crewai.utilities.formatter import (
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aggregate_raw_outputs_from_task_outputs,
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aggregate_raw_outputs_from_tasks,
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@@ -238,6 +244,10 @@ class Crew(FlowTrackable, BaseModel):
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default_factory=SecurityConfig,
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description="Security configuration for the crew, including fingerprinting.",
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)
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token_usage: Optional[UsageMetrics] = Field(
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default=None,
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description="Metrics for the LLM usage during all tasks execution.",
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)
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@field_validator("id", mode="before")
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@classmethod
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@@ -269,6 +279,9 @@ class Crew(FlowTrackable, BaseModel):
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self._cache_handler = CacheHandler()
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event_listener = EventListener()
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if os.getenv("CREWAI_TRACING_ENABLED", "false").lower() == "true":
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trace_listener = TraceCollectionListener()
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trace_listener.setup_listeners(crewai_event_bus)
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event_listener.verbose = self.verbose
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event_listener.formatter.verbose = self.verbose
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self._logger = Logger(verbose=self.verbose)
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@@ -1044,11 +1057,13 @@ class Crew(FlowTrackable, BaseModel):
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final_string_output = final_task_output.raw
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self._finish_execution(final_string_output)
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token_usage = self.calculate_usage_metrics()
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self.token_usage = self.calculate_usage_metrics()
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crewai_event_bus.emit(
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self,
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CrewKickoffCompletedEvent(
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crew_name=self.name, output=final_task_output
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crew_name=self.name,
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output=final_task_output,
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total_tokens=self.token_usage.total_tokens,
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),
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)
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return CrewOutput(
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@@ -1056,7 +1071,7 @@ class Crew(FlowTrackable, BaseModel):
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pydantic=final_task_output.pydantic,
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json_dict=final_task_output.json_dict,
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tasks_output=task_outputs,
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token_usage=token_usage,
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token_usage=self.token_usage,
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)
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def _process_async_tasks(
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@@ -1226,7 +1241,6 @@ class Crew(FlowTrackable, BaseModel):
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if self.external_memory:
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copied_data["external_memory"] = self.external_memory.model_copy(deep=True)
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copied_data.pop("agents", None)
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copied_data.pop("tasks", None)
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@@ -2,6 +2,7 @@ import asyncio
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import copy
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import inspect
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import logging
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import os
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from typing import (
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Any,
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Callable,
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@@ -32,6 +33,9 @@ from crewai.utilities.events.flow_events import (
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MethodExecutionFinishedEvent,
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MethodExecutionStartedEvent,
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)
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from crewai.utilities.events.listeners.tracing.trace_listener import (
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TraceCollectionListener,
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)
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from crewai.utilities.printer import Printer
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logger = logging.getLogger(__name__)
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@@ -465,7 +469,9 @@ class Flow(Generic[T], metaclass=FlowMeta):
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# Initialize state with initial values
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self._state = self._create_initial_state()
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if os.getenv("CREWAI_TRACING_ENABLED", "false").lower() == "true":
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trace_listener = TraceCollectionListener()
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trace_listener.setup_listeners(crewai_event_bus)
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# Apply any additional kwargs
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if kwargs:
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self._initialize_state(kwargs)
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@@ -28,7 +28,7 @@ from pydantic import (
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InstanceOf,
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PrivateAttr,
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model_validator,
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field_validator
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field_validator,
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)
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from crewai.agents.agent_builder.base_agent import BaseAgent
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@@ -210,7 +210,9 @@ class LiteAgent(FlowTrackable, BaseModel):
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"""Set up the LLM and other components after initialization."""
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self.llm = create_llm(self.llm)
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if not isinstance(self.llm, BaseLLM):
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raise ValueError(f"Expected LLM instance of type BaseLLM, got {type(self.llm).__name__}")
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raise ValueError(
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f"Expected LLM instance of type BaseLLM, got {type(self.llm).__name__}"
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)
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# Initialize callbacks
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token_callback = TokenCalcHandler(token_cost_process=self._token_process)
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@@ -233,7 +235,9 @@ class LiteAgent(FlowTrackable, BaseModel):
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from crewai.tasks.llm_guardrail import LLMGuardrail
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if not isinstance(self.llm, BaseLLM):
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raise TypeError(f"Guardrail requires LLM instance of type BaseLLM, got {type(self.llm).__name__}")
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raise TypeError(
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f"Guardrail requires LLM instance of type BaseLLM, got {type(self.llm).__name__}"
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)
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self._guardrail = LLMGuardrail(description=self.guardrail, llm=self.llm)
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@@ -515,7 +519,8 @@ class LiteAgent(FlowTrackable, BaseModel):
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enforce_rpm_limit(self.request_within_rpm_limit)
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# Emit LLM call started event
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llm = cast(LLM, self.llm)
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model = llm.model if hasattr(llm, "model") else "unknown"
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crewai_event_bus.emit(
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self,
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event=LLMCallStartedEvent(
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@@ -523,6 +528,7 @@ class LiteAgent(FlowTrackable, BaseModel):
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tools=None,
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callbacks=self._callbacks,
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from_agent=self,
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model=model,
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),
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)
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@@ -543,6 +549,7 @@ class LiteAgent(FlowTrackable, BaseModel):
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response=answer,
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call_type=LLMCallType.LLM_CALL,
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from_agent=self,
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model=model,
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),
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)
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except Exception as e:
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@@ -61,6 +61,7 @@ load_dotenv()
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litellm.suppress_debug_info = True
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class FilteredStream(io.TextIOBase):
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_lock = None
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@@ -78,7 +79,8 @@ class FilteredStream(io.TextIOBase):
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# Skip common noisy LiteLLM banners and any other lines that contain "litellm"
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if (
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"litellm.info:" in lower_s
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or "Consider using a smaller input or implementing a text splitting strategy" in lower_s
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or "Consider using a smaller input or implementing a text splitting strategy"
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in lower_s
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):
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return 0
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@@ -286,6 +288,8 @@ class AccumulatedToolArgs(BaseModel):
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class LLM(BaseLLM):
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completion_cost: Optional[float] = None
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def __init__(
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self,
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model: str,
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@@ -532,7 +536,11 @@ class LLM(BaseLLM):
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assert hasattr(crewai_event_bus, "emit")
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crewai_event_bus.emit(
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self,
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event=LLMStreamChunkEvent(chunk=chunk_content, from_task=from_task, from_agent=from_agent),
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event=LLMStreamChunkEvent(
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chunk=chunk_content,
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from_task=from_task,
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from_agent=from_agent,
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),
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)
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# --- 4) Fallback to non-streaming if no content received
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if not full_response.strip() and chunk_count == 0:
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@@ -545,7 +553,11 @@ class LLM(BaseLLM):
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"stream_options", None
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) # Remove stream_options for non-streaming call
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return self._handle_non_streaming_response(
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non_streaming_params, callbacks, available_functions, from_task, from_agent
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non_streaming_params,
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callbacks,
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available_functions,
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from_task,
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from_agent,
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)
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# --- 5) Handle empty response with chunks
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@@ -630,7 +642,13 @@ class LLM(BaseLLM):
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# Log token usage if available in streaming mode
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self._handle_streaming_callbacks(callbacks, usage_info, last_chunk)
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# Emit completion event and return response
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self._handle_emit_call_events(response=full_response, call_type=LLMCallType.LLM_CALL, from_task=from_task, from_agent=from_agent, messages=params["messages"])
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self._handle_emit_call_events(
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response=full_response,
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call_type=LLMCallType.LLM_CALL,
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from_task=from_task,
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from_agent=from_agent,
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messages=params["messages"],
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)
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return full_response
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# --- 9) Handle tool calls if present
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@@ -642,7 +660,13 @@ class LLM(BaseLLM):
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self._handle_streaming_callbacks(callbacks, usage_info, last_chunk)
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# --- 11) Emit completion event and return response
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self._handle_emit_call_events(response=full_response, call_type=LLMCallType.LLM_CALL, from_task=from_task, from_agent=from_agent, messages=params["messages"])
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self._handle_emit_call_events(
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response=full_response,
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call_type=LLMCallType.LLM_CALL,
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from_task=from_task,
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from_agent=from_agent,
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messages=params["messages"],
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)
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return full_response
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except ContextWindowExceededError as e:
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@@ -654,14 +678,22 @@ class LLM(BaseLLM):
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logging.error(f"Error in streaming response: {str(e)}")
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if full_response.strip():
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logging.warning(f"Returning partial response despite error: {str(e)}")
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self._handle_emit_call_events(response=full_response, call_type=LLMCallType.LLM_CALL, from_task=from_task, from_agent=from_agent, messages=params["messages"])
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self._handle_emit_call_events(
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response=full_response,
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call_type=LLMCallType.LLM_CALL,
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from_task=from_task,
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from_agent=from_agent,
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messages=params["messages"],
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)
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return full_response
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# Emit failed event and re-raise the exception
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assert hasattr(crewai_event_bus, "emit")
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crewai_event_bus.emit(
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self,
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event=LLMCallFailedEvent(error=str(e), from_task=from_task, from_agent=from_agent),
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event=LLMCallFailedEvent(
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error=str(e), from_task=from_task, from_agent=from_agent
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),
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)
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raise Exception(f"Failed to get streaming response: {str(e)}")
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@@ -779,6 +811,7 @@ class LLM(BaseLLM):
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# across the codebase. This allows CrewAgentExecutor to handle context
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# length issues appropriately.
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response = litellm.completion(**params)
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except ContextWindowExceededError as e:
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# Convert litellm's context window error to our own exception type
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# for consistent handling in the rest of the codebase
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@@ -805,7 +838,13 @@ class LLM(BaseLLM):
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# --- 5) If no tool calls or no available functions, return the text response directly as long as there is a text response
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if (not tool_calls or not available_functions) and text_response:
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self._handle_emit_call_events(response=text_response, call_type=LLMCallType.LLM_CALL, from_task=from_task, from_agent=from_agent, messages=params["messages"])
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self._handle_emit_call_events(
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response=text_response,
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call_type=LLMCallType.LLM_CALL,
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from_task=from_task,
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from_agent=from_agent,
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messages=params["messages"],
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)
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return text_response
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# --- 6) If there is no text response, no available functions, but there are tool calls, return the tool calls
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elif tool_calls and not available_functions and not text_response:
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@@ -816,7 +855,13 @@ class LLM(BaseLLM):
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if tool_result is not None:
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return tool_result
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# --- 8) If tool call handling didn't return a result, emit completion event and return text response
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self._handle_emit_call_events(response=text_response, call_type=LLMCallType.LLM_CALL, from_task=from_task, from_agent=from_agent, messages=params["messages"])
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self._handle_emit_call_events(
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response=text_response,
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call_type=LLMCallType.LLM_CALL,
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from_task=from_task,
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from_agent=from_agent,
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messages=params["messages"],
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)
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return text_response
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def _handle_tool_call(
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@@ -873,7 +918,9 @@ class LLM(BaseLLM):
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)
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# --- 3.3) Emit success event
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self._handle_emit_call_events(response=result, call_type=LLMCallType.TOOL_CALL)
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self._handle_emit_call_events(
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response=result, call_type=LLMCallType.TOOL_CALL
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)
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return result
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except Exception as e:
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# --- 3.4) Handle execution errors
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@@ -891,7 +938,7 @@ class LLM(BaseLLM):
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event=ToolUsageErrorEvent(
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tool_name=function_name,
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tool_args=function_args,
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error=f"Tool execution error: {str(e)}"
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error=f"Tool execution error: {str(e)}",
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),
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)
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return None
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@@ -941,6 +988,7 @@ class LLM(BaseLLM):
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available_functions=available_functions,
|
||||
from_task=from_task,
|
||||
from_agent=from_agent,
|
||||
model=self.model,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -978,17 +1026,22 @@ class LLM(BaseLLM):
|
||||
# whether to summarize the content or abort based on the respect_context_window flag
|
||||
raise
|
||||
except Exception as e:
|
||||
unsupported_stop = "Unsupported parameter" in str(e) and "'stop'" in str(e)
|
||||
unsupported_stop = "Unsupported parameter" in str(
|
||||
e
|
||||
) and "'stop'" in str(e)
|
||||
|
||||
if unsupported_stop:
|
||||
if "additional_drop_params" in self.additional_params and isinstance(self.additional_params["additional_drop_params"], list):
|
||||
if (
|
||||
"additional_drop_params" in self.additional_params
|
||||
and isinstance(
|
||||
self.additional_params["additional_drop_params"], list
|
||||
)
|
||||
):
|
||||
self.additional_params["additional_drop_params"].append("stop")
|
||||
else:
|
||||
self.additional_params = {"additional_drop_params": ["stop"]}
|
||||
|
||||
logging.info(
|
||||
"Retrying LLM call without the unsupported 'stop'"
|
||||
)
|
||||
logging.info("Retrying LLM call without the unsupported 'stop'")
|
||||
|
||||
return self.call(
|
||||
messages,
|
||||
@@ -1002,11 +1055,20 @@ class LLM(BaseLLM):
|
||||
assert hasattr(crewai_event_bus, "emit")
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=LLMCallFailedEvent(error=str(e), from_task=from_task, from_agent=from_agent),
|
||||
event=LLMCallFailedEvent(
|
||||
error=str(e), from_task=from_task, from_agent=from_agent
|
||||
),
|
||||
)
|
||||
raise
|
||||
|
||||
def _handle_emit_call_events(self, response: Any, call_type: LLMCallType, from_task: Optional[Any] = None, from_agent: Optional[Any] = None, messages: str | list[dict[str, Any]] | None = None):
|
||||
def _handle_emit_call_events(
|
||||
self,
|
||||
response: Any,
|
||||
call_type: LLMCallType,
|
||||
from_task: Optional[Any] = None,
|
||||
from_agent: Optional[Any] = None,
|
||||
messages: str | list[dict[str, Any]] | None = None,
|
||||
):
|
||||
"""Handle the events for the LLM call.
|
||||
|
||||
Args:
|
||||
@@ -1019,7 +1081,14 @@ class LLM(BaseLLM):
|
||||
assert hasattr(crewai_event_bus, "emit")
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=LLMCallCompletedEvent(messages=messages, response=response, call_type=call_type, from_task=from_task, from_agent=from_agent),
|
||||
event=LLMCallCompletedEvent(
|
||||
messages=messages,
|
||||
response=response,
|
||||
call_type=call_type,
|
||||
from_task=from_task,
|
||||
from_agent=from_agent,
|
||||
model=self.model,
|
||||
),
|
||||
)
|
||||
|
||||
def _format_messages_for_provider(
|
||||
@@ -1074,11 +1143,13 @@ class LLM(BaseLLM):
|
||||
|
||||
# TODO: Remove this code after merging PR https://github.com/BerriAI/litellm/pull/10917
|
||||
# Ollama doesn't supports last message to be 'assistant'
|
||||
if "ollama" in self.model.lower() and messages and messages[-1]["role"] == "assistant":
|
||||
if (
|
||||
"ollama" in self.model.lower()
|
||||
and messages
|
||||
and messages[-1]["role"] == "assistant"
|
||||
):
|
||||
messages = messages.copy()
|
||||
messages.append(
|
||||
{"role": "user", "content": ""}
|
||||
)
|
||||
messages.append({"role": "user", "content": ""})
|
||||
return messages
|
||||
|
||||
# Handle Anthropic models
|
||||
|
||||
@@ -16,3 +16,4 @@ class _NotSpecified:
|
||||
# Unlike `None`, which might be a valid value from the user, `NOT_SPECIFIED` allows
|
||||
# us to distinguish between "not passed at all" and "explicitly passed None" or "[]".
|
||||
NOT_SPECIFIED = _NotSpecified()
|
||||
CREWAI_BASE_URL = "https://app.crewai.com/"
|
||||
|
||||
@@ -47,6 +47,7 @@ class CrewKickoffCompletedEvent(CrewBaseEvent):
|
||||
|
||||
output: Any
|
||||
type: str = "crew_kickoff_completed"
|
||||
total_tokens: int = 0
|
||||
|
||||
|
||||
class CrewKickoffFailedEvent(CrewBaseEvent):
|
||||
|
||||
33
src/crewai/utilities/events/listeners/tracing/interfaces.py
Normal file
33
src/crewai/utilities/events/listeners/tracing/interfaces.py
Normal file
@@ -0,0 +1,33 @@
|
||||
import json
|
||||
from datetime import datetime
|
||||
|
||||
from crewai.cli.plus_api import PlusAPI
|
||||
from crewai.cli.authentication.token import get_auth_token
|
||||
from pydantic import BaseModel
|
||||
from .trace_batch_manager import TraceBatch
|
||||
from logging import getLogger
|
||||
|
||||
logger = getLogger(__name__)
|
||||
|
||||
|
||||
class TraceSender(BaseModel):
|
||||
"""Trace sender for sending trace batches to the backend"""
|
||||
|
||||
def send_batch(self, batch: TraceBatch) -> bool:
|
||||
"""Print trace batch to console"""
|
||||
try:
|
||||
payload = batch.to_dict()
|
||||
|
||||
def datetime_handler(obj):
|
||||
if isinstance(obj, datetime):
|
||||
return obj.isoformat()
|
||||
|
||||
serialized_payload = json.loads(
|
||||
json.dumps(payload, default=datetime_handler)
|
||||
)
|
||||
|
||||
PlusAPI(api_key=get_auth_token()).send_trace_batch(serialized_payload)
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.error(f"Error sending trace batch: {e}")
|
||||
return False
|
||||
@@ -0,0 +1,252 @@
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
from typing import Dict, List, Any, Optional
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
from crewai.utilities.constants import CREWAI_BASE_URL
|
||||
from crewai.cli.authentication.token import get_auth_token
|
||||
|
||||
from crewai.cli.version import get_crewai_version
|
||||
from crewai.cli.plus_api import PlusAPI
|
||||
from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
|
||||
from crewai.utilities.events.listeners.tracing.types import TraceEvent
|
||||
from logging import getLogger
|
||||
|
||||
logger = getLogger(__name__)
|
||||
|
||||
|
||||
@dataclass
|
||||
class TraceBatch:
|
||||
"""Batch of events to send to backend"""
|
||||
|
||||
version: str = field(default_factory=get_crewai_version)
|
||||
batch_id: str = field(default_factory=lambda: str(uuid.uuid4()))
|
||||
user_context: Dict[str, str] = field(default_factory=dict)
|
||||
execution_metadata: Dict[str, Any] = field(default_factory=dict)
|
||||
events: List[TraceEvent] = field(default_factory=list)
|
||||
|
||||
def to_dict(self) -> Dict[str, Any]:
|
||||
return {
|
||||
"version": self.version,
|
||||
"batch_id": self.batch_id,
|
||||
"user_context": self.user_context,
|
||||
"execution_metadata": self.execution_metadata,
|
||||
"events": [event.to_dict() for event in self.events],
|
||||
}
|
||||
|
||||
|
||||
class TraceBatchManager:
|
||||
"""Single responsibility: Manage batches and event buffering"""
|
||||
|
||||
def __init__(self):
|
||||
self.plus_api = PlusAPI(api_key=get_auth_token())
|
||||
self.trace_batch_id: Optional[str] = None # Backend ID
|
||||
self.current_batch: Optional[TraceBatch] = None
|
||||
self.event_buffer: List[TraceEvent] = []
|
||||
self.execution_start_times: Dict[str, datetime] = {}
|
||||
|
||||
def initialize_batch(
|
||||
self, user_context: Dict[str, str], execution_metadata: Dict[str, Any]
|
||||
) -> TraceBatch:
|
||||
"""Initialize a new trace batch"""
|
||||
self.current_batch = TraceBatch(
|
||||
user_context=user_context, execution_metadata=execution_metadata
|
||||
)
|
||||
self.event_buffer.clear()
|
||||
|
||||
self.record_start_time("execution")
|
||||
|
||||
self._initialize_backend_batch(user_context, execution_metadata)
|
||||
|
||||
return self.current_batch
|
||||
|
||||
def _initialize_backend_batch(
|
||||
self, user_context: Dict[str, str], execution_metadata: Dict[str, Any]
|
||||
):
|
||||
"""Send batch initialization to backend"""
|
||||
if not self.plus_api or not self.current_batch:
|
||||
return
|
||||
|
||||
try:
|
||||
payload = {
|
||||
"trace_id": self.current_batch.batch_id,
|
||||
"execution_type": execution_metadata.get("execution_type", "crew"),
|
||||
"execution_context": {
|
||||
"crew_fingerprint": execution_metadata.get("crew_fingerprint"),
|
||||
"crew_name": execution_metadata.get("crew_name", "Unknown Crew"),
|
||||
"flow_name": execution_metadata.get("flow_name", "Unknown Flow"),
|
||||
"crewai_version": self.current_batch.version,
|
||||
"privacy_level": user_context.get("privacy_level", "standard"),
|
||||
},
|
||||
"execution_metadata": {
|
||||
"expected_duration_estimate": execution_metadata.get(
|
||||
"expected_duration_estimate", 300
|
||||
),
|
||||
"agent_count": execution_metadata.get("agent_count", 0),
|
||||
"task_count": execution_metadata.get("task_count", 0),
|
||||
"flow_method_count": execution_metadata.get("flow_method_count", 0),
|
||||
"execution_started_at": datetime.now(timezone.utc).isoformat(),
|
||||
},
|
||||
}
|
||||
|
||||
response = self.plus_api.initialize_trace_batch(payload)
|
||||
|
||||
if response.status_code == 201 or response.status_code == 200:
|
||||
response_data = response.json()
|
||||
self.trace_batch_id = response_data["trace_id"]
|
||||
console = Console()
|
||||
panel = Panel(
|
||||
f"✅ Trace batch initialized with session ID: {self.trace_batch_id}",
|
||||
title="Trace Batch Initialization",
|
||||
border_style="green",
|
||||
)
|
||||
console.print(panel)
|
||||
else:
|
||||
logger.error(
|
||||
f"❌ Failed to initialize trace batch: {response.status_code} - {response.text}"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"❌ Error initializing trace batch: {str(e)}")
|
||||
|
||||
def add_event(self, trace_event: TraceEvent):
|
||||
"""Add event to buffer"""
|
||||
self.event_buffer.append(trace_event)
|
||||
|
||||
def _send_events_to_backend(self):
|
||||
"""Send buffered events to backend"""
|
||||
if not self.plus_api or not self.trace_batch_id or not self.event_buffer:
|
||||
return
|
||||
|
||||
try:
|
||||
payload = {
|
||||
"events": [event.to_dict() for event in self.event_buffer],
|
||||
"batch_metadata": {
|
||||
"events_count": len(self.event_buffer),
|
||||
"batch_sequence": 1,
|
||||
"is_final_batch": False,
|
||||
},
|
||||
}
|
||||
|
||||
if not self.trace_batch_id:
|
||||
raise Exception("❌ Trace batch ID not found")
|
||||
|
||||
response = self.plus_api.send_trace_events(self.trace_batch_id, payload)
|
||||
|
||||
if response.status_code == 200 or response.status_code == 201:
|
||||
self.event_buffer.clear()
|
||||
else:
|
||||
logger.error(
|
||||
f"❌ Failed to send events: {response.status_code} - {response.text}"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"❌ Error sending events to backend: {str(e)}")
|
||||
|
||||
def finalize_batch(self) -> Optional[TraceBatch]:
|
||||
"""Finalize batch and return it for sending"""
|
||||
if not self.current_batch:
|
||||
return None
|
||||
|
||||
if self.event_buffer:
|
||||
self._send_events_to_backend()
|
||||
|
||||
self._finalize_backend_batch()
|
||||
|
||||
self.current_batch.events = self.event_buffer.copy()
|
||||
|
||||
finalized_batch = self.current_batch
|
||||
|
||||
self.current_batch = None
|
||||
self.event_buffer.clear()
|
||||
self.trace_batch_id = None
|
||||
|
||||
self._cleanup_batch_data()
|
||||
|
||||
return finalized_batch
|
||||
|
||||
def _finalize_backend_batch(self):
|
||||
"""Send batch finalization to backend"""
|
||||
if not self.plus_api or not self.trace_batch_id:
|
||||
return
|
||||
|
||||
try:
|
||||
total_events = len(self.current_batch.events) if self.current_batch else 0
|
||||
|
||||
payload = {
|
||||
"status": "completed",
|
||||
"duration_ms": self.calculate_duration("execution"),
|
||||
"final_event_count": total_events,
|
||||
}
|
||||
|
||||
response = self.plus_api.finalize_trace_batch(self.trace_batch_id, payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
console = Console()
|
||||
panel = Panel(
|
||||
f"✅ Trace batch finalized with session ID: {self.trace_batch_id}. View here: {CREWAI_BASE_URL}/crewai_plus/trace_batches/{self.trace_batch_id}",
|
||||
title="Trace Batch Finalization",
|
||||
border_style="green",
|
||||
)
|
||||
console.print(panel)
|
||||
|
||||
else:
|
||||
logger.error(
|
||||
f"❌ Failed to finalize trace batch: {response.status_code} - {response.text}"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"❌ Error finalizing trace batch: {str(e)}")
|
||||
# TODO: send error to app
|
||||
|
||||
def _cleanup_batch_data(self):
|
||||
"""Clean up batch data after successful finalization to free memory"""
|
||||
try:
|
||||
if hasattr(self, "event_buffer") and self.event_buffer:
|
||||
self.event_buffer.clear()
|
||||
|
||||
if hasattr(self, "current_batch") and self.current_batch:
|
||||
if hasattr(self.current_batch, "events") and self.current_batch.events:
|
||||
self.current_batch.events.clear()
|
||||
self.current_batch = None
|
||||
|
||||
if hasattr(self, "batch_sequence"):
|
||||
self.batch_sequence = 0
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Warning: Error during cleanup: {str(e)}")
|
||||
|
||||
def has_events(self) -> bool:
|
||||
"""Check if there are events in the buffer"""
|
||||
return len(self.event_buffer) > 0
|
||||
|
||||
def get_event_count(self) -> int:
|
||||
"""Get number of events in buffer"""
|
||||
return len(self.event_buffer)
|
||||
|
||||
def is_batch_initialized(self) -> bool:
|
||||
"""Check if batch is initialized"""
|
||||
return self.current_batch is not None
|
||||
|
||||
def record_start_time(self, key: str):
|
||||
"""Record start time for duration calculation"""
|
||||
self.execution_start_times[key] = datetime.now(timezone.utc)
|
||||
|
||||
def calculate_duration(self, key: str) -> int:
|
||||
"""Calculate duration in milliseconds from recorded start time"""
|
||||
start_time = self.execution_start_times.get(key)
|
||||
if start_time:
|
||||
duration_ms = int(
|
||||
(datetime.now(timezone.utc) - start_time).total_seconds() * 1000
|
||||
)
|
||||
del self.execution_start_times[key]
|
||||
return duration_ms
|
||||
return 0
|
||||
|
||||
def get_trace_id(self) -> Optional[str]:
|
||||
"""Get current trace ID"""
|
||||
if self.current_batch:
|
||||
return self.current_batch.user_context.get("trace_id")
|
||||
return None
|
||||
414
src/crewai/utilities/events/listeners/tracing/trace_listener.py
Normal file
414
src/crewai/utilities/events/listeners/tracing/trace_listener.py
Normal file
@@ -0,0 +1,414 @@
|
||||
import os
|
||||
import uuid
|
||||
|
||||
from typing import Dict, Any, Optional
|
||||
|
||||
from crewai.utilities.events.base_event_listener import BaseEventListener
|
||||
from crewai.utilities.events.agent_events import (
|
||||
AgentExecutionCompletedEvent,
|
||||
AgentExecutionStartedEvent,
|
||||
LiteAgentExecutionStartedEvent,
|
||||
LiteAgentExecutionCompletedEvent,
|
||||
LiteAgentExecutionErrorEvent,
|
||||
AgentExecutionErrorEvent,
|
||||
)
|
||||
from crewai.utilities.events.listeners.tracing.types import TraceEvent
|
||||
from crewai.utilities.events.reasoning_events import (
|
||||
AgentReasoningStartedEvent,
|
||||
AgentReasoningCompletedEvent,
|
||||
AgentReasoningFailedEvent,
|
||||
)
|
||||
from crewai.utilities.events.crew_events import (
|
||||
CrewKickoffCompletedEvent,
|
||||
CrewKickoffFailedEvent,
|
||||
CrewKickoffStartedEvent,
|
||||
)
|
||||
from crewai.utilities.events.task_events import (
|
||||
TaskCompletedEvent,
|
||||
TaskFailedEvent,
|
||||
TaskStartedEvent,
|
||||
)
|
||||
from crewai.utilities.events.tool_usage_events import (
|
||||
ToolUsageErrorEvent,
|
||||
ToolUsageFinishedEvent,
|
||||
ToolUsageStartedEvent,
|
||||
)
|
||||
from crewai.utilities.events.llm_events import (
|
||||
LLMCallCompletedEvent,
|
||||
LLMCallFailedEvent,
|
||||
LLMCallStartedEvent,
|
||||
)
|
||||
|
||||
from crewai.utilities.events.flow_events import (
|
||||
FlowCreatedEvent,
|
||||
FlowStartedEvent,
|
||||
FlowFinishedEvent,
|
||||
MethodExecutionStartedEvent,
|
||||
MethodExecutionFinishedEvent,
|
||||
MethodExecutionFailedEvent,
|
||||
FlowPlotEvent,
|
||||
)
|
||||
from crewai.utilities.events.llm_guardrail_events import (
|
||||
LLMGuardrailStartedEvent,
|
||||
LLMGuardrailCompletedEvent,
|
||||
)
|
||||
from crewai.utilities.serialization import to_serializable
|
||||
|
||||
|
||||
from .trace_batch_manager import TraceBatchManager
|
||||
|
||||
from crewai.utilities.events.memory_events import (
|
||||
MemoryQueryStartedEvent,
|
||||
MemoryQueryCompletedEvent,
|
||||
MemoryQueryFailedEvent,
|
||||
MemorySaveStartedEvent,
|
||||
MemorySaveCompletedEvent,
|
||||
MemorySaveFailedEvent,
|
||||
)
|
||||
from .interfaces import TraceSender
|
||||
from crewai.cli.authentication.token import get_auth_token
|
||||
from crewai.cli.version import get_crewai_version
|
||||
|
||||
|
||||
class TraceCollectionListener(BaseEventListener):
|
||||
"""
|
||||
Trace collection listener that orchestrates trace collection
|
||||
"""
|
||||
|
||||
trace_enabled: bool = False
|
||||
complex_events = ["task_started", "llm_call_started", "llm_call_completed"]
|
||||
|
||||
_instance = None
|
||||
_initialized = False
|
||||
|
||||
def __new__(cls, batch_manager=None, trace_sender=None):
|
||||
if cls._instance is None:
|
||||
cls._instance = super().__new__(cls)
|
||||
return cls._instance
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
batch_manager: Optional[TraceBatchManager] = None,
|
||||
trace_sender: Optional[TraceSender] = None,
|
||||
):
|
||||
if self._initialized:
|
||||
return
|
||||
|
||||
super().__init__()
|
||||
self.batch_manager = batch_manager or TraceBatchManager()
|
||||
self.trace_sender = trace_sender or TraceSender()
|
||||
self.trace_enabled = self._check_trace_enabled()
|
||||
self._initialized = True
|
||||
|
||||
def _check_trace_enabled(self) -> bool:
|
||||
"""Check if tracing should be enabled"""
|
||||
auth_token = get_auth_token()
|
||||
if not auth_token:
|
||||
return False
|
||||
|
||||
return os.getenv("CREWAI_TRACING_ENABLED", "false").lower() == "true" or bool(
|
||||
os.getenv("CREWAI_USER_TOKEN")
|
||||
)
|
||||
|
||||
def _get_user_context(self) -> Dict[str, str]:
|
||||
"""Extract user context for tracing"""
|
||||
return {
|
||||
"user_id": os.getenv("CREWAI_USER_ID", "anonymous"),
|
||||
"organization_id": os.getenv("CREWAI_ORG_ID", ""),
|
||||
"session_id": str(uuid.uuid4()),
|
||||
"trace_id": str(uuid.uuid4()),
|
||||
}
|
||||
|
||||
def setup_listeners(self, crewai_event_bus):
|
||||
"""Setup event listeners - delegates to specific handlers"""
|
||||
if not self.trace_enabled:
|
||||
return
|
||||
|
||||
self._register_flow_event_handlers(crewai_event_bus)
|
||||
self._register_context_event_handlers(crewai_event_bus)
|
||||
self._register_action_event_handlers(crewai_event_bus)
|
||||
|
||||
def _register_flow_event_handlers(self, event_bus):
|
||||
"""Register handlers for flow events"""
|
||||
|
||||
@event_bus.on(FlowCreatedEvent)
|
||||
def on_flow_created(source, event):
|
||||
pass
|
||||
|
||||
@event_bus.on(FlowStartedEvent)
|
||||
def on_flow_started(source, event):
|
||||
if not self.batch_manager.is_batch_initialized():
|
||||
self._initialize_flow_batch(source, event)
|
||||
self._handle_trace_event("flow_started", source, event)
|
||||
|
||||
@event_bus.on(MethodExecutionStartedEvent)
|
||||
def on_method_started(source, event):
|
||||
self._handle_trace_event("method_execution_started", source, event)
|
||||
|
||||
@event_bus.on(MethodExecutionFinishedEvent)
|
||||
def on_method_finished(source, event):
|
||||
self._handle_trace_event("method_execution_finished", source, event)
|
||||
|
||||
@event_bus.on(MethodExecutionFailedEvent)
|
||||
def on_method_failed(source, event):
|
||||
self._handle_trace_event("method_execution_failed", source, event)
|
||||
|
||||
@event_bus.on(FlowFinishedEvent)
|
||||
def on_flow_finished(source, event):
|
||||
self._handle_trace_event("flow_finished", source, event)
|
||||
self._send_batch()
|
||||
|
||||
@event_bus.on(FlowPlotEvent)
|
||||
def on_flow_plot(source, event):
|
||||
self._handle_action_event("flow_plot", source, event)
|
||||
|
||||
def _register_context_event_handlers(self, event_bus):
|
||||
"""Register handlers for context events (start/end)"""
|
||||
|
||||
@event_bus.on(CrewKickoffStartedEvent)
|
||||
def on_crew_started(source, event):
|
||||
if not self.batch_manager.is_batch_initialized():
|
||||
self._initialize_batch(source, event)
|
||||
self._handle_trace_event("crew_kickoff_started", source, event)
|
||||
|
||||
@event_bus.on(CrewKickoffCompletedEvent)
|
||||
def on_crew_completed(source, event):
|
||||
self._handle_trace_event("crew_kickoff_completed", source, event)
|
||||
self._send_batch()
|
||||
|
||||
@event_bus.on(CrewKickoffFailedEvent)
|
||||
def on_crew_failed(source, event):
|
||||
self._handle_trace_event("crew_kickoff_failed", source, event)
|
||||
self._send_batch()
|
||||
|
||||
@event_bus.on(TaskStartedEvent)
|
||||
def on_task_started(source, event):
|
||||
self._handle_trace_event("task_started", source, event)
|
||||
|
||||
@event_bus.on(TaskCompletedEvent)
|
||||
def on_task_completed(source, event):
|
||||
self._handle_trace_event("task_completed", source, event)
|
||||
|
||||
@event_bus.on(TaskFailedEvent)
|
||||
def on_task_failed(source, event):
|
||||
self._handle_trace_event("task_failed", source, event)
|
||||
|
||||
@event_bus.on(AgentExecutionStartedEvent)
|
||||
def on_agent_started(source, event):
|
||||
self._handle_trace_event("agent_execution_started", source, event)
|
||||
|
||||
@event_bus.on(AgentExecutionCompletedEvent)
|
||||
def on_agent_completed(source, event):
|
||||
self._handle_trace_event("agent_execution_completed", source, event)
|
||||
|
||||
@event_bus.on(LiteAgentExecutionStartedEvent)
|
||||
def on_lite_agent_started(source, event):
|
||||
self._handle_trace_event("lite_agent_execution_started", source, event)
|
||||
|
||||
@event_bus.on(LiteAgentExecutionCompletedEvent)
|
||||
def on_lite_agent_completed(source, event):
|
||||
self._handle_trace_event("lite_agent_execution_completed", source, event)
|
||||
|
||||
@event_bus.on(LiteAgentExecutionErrorEvent)
|
||||
def on_lite_agent_error(source, event):
|
||||
self._handle_trace_event("lite_agent_execution_error", source, event)
|
||||
|
||||
@event_bus.on(AgentExecutionErrorEvent)
|
||||
def on_agent_error(source, event):
|
||||
self._handle_trace_event("agent_execution_error", source, event)
|
||||
|
||||
@event_bus.on(LLMGuardrailStartedEvent)
|
||||
def on_guardrail_started(source, event):
|
||||
self._handle_trace_event("llm_guardrail_started", source, event)
|
||||
|
||||
@event_bus.on(LLMGuardrailCompletedEvent)
|
||||
def on_guardrail_completed(source, event):
|
||||
self._handle_trace_event("llm_guardrail_completed", source, event)
|
||||
|
||||
def _register_action_event_handlers(self, event_bus):
|
||||
"""Register handlers for action events (LLM calls, tool usage, memory)"""
|
||||
|
||||
@event_bus.on(LLMCallStartedEvent)
|
||||
def on_llm_call_started(source, event):
|
||||
self._handle_action_event("llm_call_started", source, event)
|
||||
|
||||
@event_bus.on(LLMCallCompletedEvent)
|
||||
def on_llm_call_completed(source, event):
|
||||
self._handle_action_event("llm_call_completed", source, event)
|
||||
|
||||
@event_bus.on(LLMCallFailedEvent)
|
||||
def on_llm_call_failed(source, event):
|
||||
self._handle_action_event("llm_call_failed", source, event)
|
||||
|
||||
@event_bus.on(ToolUsageStartedEvent)
|
||||
def on_tool_started(source, event):
|
||||
self._handle_action_event("tool_usage_started", source, event)
|
||||
|
||||
@event_bus.on(ToolUsageFinishedEvent)
|
||||
def on_tool_finished(source, event):
|
||||
self._handle_action_event("tool_usage_finished", source, event)
|
||||
|
||||
@event_bus.on(ToolUsageErrorEvent)
|
||||
def on_tool_error(source, event):
|
||||
self._handle_action_event("tool_usage_error", source, event)
|
||||
|
||||
@event_bus.on(MemoryQueryStartedEvent)
|
||||
def on_memory_query_started(source, event):
|
||||
self._handle_action_event("memory_query_started", source, event)
|
||||
|
||||
@event_bus.on(MemoryQueryCompletedEvent)
|
||||
def on_memory_query_completed(source, event):
|
||||
self._handle_action_event("memory_query_completed", source, event)
|
||||
|
||||
@event_bus.on(MemoryQueryFailedEvent)
|
||||
def on_memory_query_failed(source, event):
|
||||
self._handle_action_event("memory_query_failed", source, event)
|
||||
|
||||
@event_bus.on(MemorySaveStartedEvent)
|
||||
def on_memory_save_started(source, event):
|
||||
self._handle_action_event("memory_save_started", source, event)
|
||||
|
||||
@event_bus.on(MemorySaveCompletedEvent)
|
||||
def on_memory_save_completed(source, event):
|
||||
self._handle_action_event("memory_save_completed", source, event)
|
||||
|
||||
@event_bus.on(MemorySaveFailedEvent)
|
||||
def on_memory_save_failed(source, event):
|
||||
self._handle_action_event("memory_save_failed", source, event)
|
||||
|
||||
@event_bus.on(AgentReasoningStartedEvent)
|
||||
def on_agent_reasoning_started(source, event):
|
||||
self._handle_action_event("agent_reasoning_started", source, event)
|
||||
|
||||
@event_bus.on(AgentReasoningCompletedEvent)
|
||||
def on_agent_reasoning_completed(source, event):
|
||||
self._handle_action_event("agent_reasoning_completed", source, event)
|
||||
|
||||
@event_bus.on(AgentReasoningFailedEvent)
|
||||
def on_agent_reasoning_failed(source, event):
|
||||
self._handle_action_event("agent_reasoning_failed", source, event)
|
||||
|
||||
def _initialize_batch(self, source: Any, event: Any):
|
||||
"""Initialize trace batch"""
|
||||
user_context = self._get_user_context()
|
||||
execution_metadata = {
|
||||
"crew_name": getattr(event, "crew_name", "Unknown Crew"),
|
||||
"execution_start": event.timestamp if hasattr(event, "timestamp") else None,
|
||||
"crewai_version": get_crewai_version(),
|
||||
}
|
||||
|
||||
self.batch_manager.initialize_batch(user_context, execution_metadata)
|
||||
|
||||
def _initialize_flow_batch(self, source: Any, event: Any):
|
||||
"""Initialize trace batch for Flow execution"""
|
||||
user_context = self._get_user_context()
|
||||
execution_metadata = {
|
||||
"flow_name": getattr(source, "__class__.__name__", "Unknown Flow"),
|
||||
"execution_start": event.timestamp if hasattr(event, "timestamp") else None,
|
||||
"crewai_version": get_crewai_version(),
|
||||
"execution_type": "flow",
|
||||
}
|
||||
|
||||
self.batch_manager.initialize_batch(user_context, execution_metadata)
|
||||
|
||||
def _handle_trace_event(self, event_type: str, source: Any, event: Any):
|
||||
"""Generic handler for context end events"""
|
||||
|
||||
trace_event = self._create_trace_event(event_type, source, event)
|
||||
|
||||
self.batch_manager.add_event(trace_event)
|
||||
|
||||
def _handle_action_event(self, event_type: str, source: Any, event: Any):
|
||||
"""Generic handler for action events (LLM calls, tool usage)"""
|
||||
|
||||
if not self.batch_manager.is_batch_initialized():
|
||||
user_context = self._get_user_context()
|
||||
execution_metadata = {
|
||||
"crew_name": getattr(source, "name", "Unknown Crew"),
|
||||
"crewai_version": get_crewai_version(),
|
||||
}
|
||||
self.batch_manager.initialize_batch(user_context, execution_metadata)
|
||||
|
||||
trace_event = self._create_trace_event(event_type, source, event)
|
||||
self.batch_manager.add_event(trace_event)
|
||||
|
||||
def _send_batch(self):
|
||||
"""Send finalized batch using the configured sender"""
|
||||
batch = self.batch_manager.finalize_batch()
|
||||
if batch:
|
||||
success = self.trace_sender.send_batch(batch)
|
||||
if not success:
|
||||
print("⚠️ Failed to send trace batch")
|
||||
|
||||
def _create_trace_event(
|
||||
self, event_type: str, source: Any, event: Any
|
||||
) -> TraceEvent:
|
||||
"""Create a trace event"""
|
||||
trace_event = TraceEvent(
|
||||
type=event_type,
|
||||
)
|
||||
|
||||
trace_event.event_data = self._build_event_data(event_type, event, source)
|
||||
return trace_event
|
||||
|
||||
def _build_event_data(
|
||||
self, event_type: str, event: Any, source: Any
|
||||
) -> Dict[str, Any]:
|
||||
"""Build event data"""
|
||||
if event_type not in self.complex_events:
|
||||
return self._safe_serialize_to_dict(event)
|
||||
elif event_type == "task_started":
|
||||
return {
|
||||
"task_description": event.task.description,
|
||||
"task_name": event.task.name,
|
||||
"context": event.context,
|
||||
"agent": source.agent.role,
|
||||
}
|
||||
elif event_type == "llm_call_started":
|
||||
return {
|
||||
**self._safe_serialize_to_dict(event),
|
||||
"messages": self._truncate_messages(event.messages),
|
||||
}
|
||||
elif event_type == "llm_call_completed":
|
||||
return {
|
||||
**self._safe_serialize_to_dict(event),
|
||||
"messages": self._truncate_messages(event.messages),
|
||||
}
|
||||
else:
|
||||
return {
|
||||
"event_type": event_type,
|
||||
"event": self._safe_serialize_to_dict(event),
|
||||
"source": source,
|
||||
}
|
||||
|
||||
# TODO: move to utils
|
||||
def _safe_serialize_to_dict(
|
||||
self, obj, exclude: set[str] | None = None
|
||||
) -> Dict[str, Any]:
|
||||
"""Safely serialize an object to a dictionary for event data."""
|
||||
try:
|
||||
serialized = to_serializable(obj, exclude)
|
||||
if isinstance(serialized, dict):
|
||||
return serialized
|
||||
else:
|
||||
return {"serialized_data": serialized}
|
||||
except Exception as e:
|
||||
return {"serialization_error": str(e), "object_type": type(obj).__name__}
|
||||
|
||||
# TODO: move to utils
|
||||
def _truncate_messages(self, messages, max_content_length=200, max_messages=5):
|
||||
"""Truncate message content and limit number of messages"""
|
||||
if not messages or not isinstance(messages, list):
|
||||
return messages
|
||||
|
||||
# Limit number of messages
|
||||
limited_messages = messages[:max_messages]
|
||||
|
||||
# Truncate each message content
|
||||
for msg in limited_messages:
|
||||
if isinstance(msg, dict) and "content" in msg:
|
||||
content = msg["content"]
|
||||
if len(content) > max_content_length:
|
||||
msg["content"] = content[:max_content_length] + "..."
|
||||
|
||||
return limited_messages
|
||||
19
src/crewai/utilities/events/listeners/tracing/types.py
Normal file
19
src/crewai/utilities/events/listeners/tracing/types.py
Normal file
@@ -0,0 +1,19 @@
|
||||
from dataclasses import dataclass, field, asdict
|
||||
from datetime import datetime, timezone
|
||||
from typing import Dict, Any
|
||||
import uuid
|
||||
|
||||
|
||||
@dataclass
|
||||
class TraceEvent:
|
||||
"""Individual trace event payload"""
|
||||
|
||||
event_id: str = field(default_factory=lambda: str(uuid.uuid4()))
|
||||
timestamp: str = field(
|
||||
default_factory=lambda: datetime.now(timezone.utc).isoformat()
|
||||
)
|
||||
type: str = ""
|
||||
event_data: Dict[str, Any] = field(default_factory=dict)
|
||||
|
||||
def to_dict(self) -> Dict[str, Any]:
|
||||
return asdict(self)
|
||||
@@ -5,6 +5,7 @@ from pydantic import BaseModel
|
||||
|
||||
from crewai.utilities.events.base_events import BaseEvent
|
||||
|
||||
|
||||
class LLMEventBase(BaseEvent):
|
||||
task_name: Optional[str] = None
|
||||
task_id: Optional[str] = None
|
||||
@@ -32,6 +33,7 @@ class LLMEventBase(BaseEvent):
|
||||
self.task_id = task.id
|
||||
self.task_name = task.name
|
||||
|
||||
|
||||
class LLMCallType(Enum):
|
||||
"""Type of LLM call being made"""
|
||||
|
||||
@@ -48,6 +50,7 @@ class LLMCallStartedEvent(LLMEventBase):
|
||||
"""
|
||||
|
||||
type: str = "llm_call_started"
|
||||
model: Optional[str] = None
|
||||
messages: Optional[Union[str, List[Dict[str, Any]]]] = None
|
||||
tools: Optional[List[dict[str, Any]]] = None
|
||||
callbacks: Optional[List[Any]] = None
|
||||
@@ -61,6 +64,8 @@ class LLMCallCompletedEvent(LLMEventBase):
|
||||
messages: str | list[dict[str, Any]] | None = None
|
||||
response: Any
|
||||
call_type: LLMCallType
|
||||
model: Optional[str] = None
|
||||
|
||||
|
||||
class LLMCallFailedEvent(LLMEventBase):
|
||||
"""Event emitted when a LLM call fails"""
|
||||
|
||||
@@ -0,0 +1,470 @@
|
||||
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 to
|
||||
the world\n\nThis is the expected criteria for your final answer: hello world\nyou
|
||||
MUST return the actual complete content as the final answer, not a summary.\n\nBegin!
|
||||
This is VERY important to you, use the tools available and give your best Final
|
||||
Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o-mini", "stop":
|
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["\nObservation:"]}'
|
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headers:
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headers:
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- Tue, 22 Apr 2025 14:25:41 GMT
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- Wed, 06 Aug 2025 18:55:33 GMT
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Server:
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- scaffolding on HTTPServer2
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Server-Timing:
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- gfet4t7; dur=2447
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- gfet4t7; dur=1529
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Transfer-Encoding:
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- chunked
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Vary:
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@@ -1,60 +0,0 @@
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interactions:
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||||
- request:
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||||
body: '{"contents": [{"role": "user", "parts": [{"text": "What is the capital
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of France?"}]}], "generationConfig": {"stop_sequences": []}}'
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headers:
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accept:
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- '*/*'
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accept-encoding:
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- gzip, deflate
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- keep-alive
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- '131'
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content-type:
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- application/json
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host:
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- generativelanguage.googleapis.com
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user-agent:
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- litellm/1.60.2
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method: POST
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uri: https://generativelanguage.googleapis.com/v1beta/models/gemma-3-4b-it:generateContent
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response:
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body:
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headers:
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- h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
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Content-Encoding:
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Content-Type:
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Date:
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Server:
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- scaffolding on HTTPServer2
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Server-Timing:
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- gfet4t7; dur=2349
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Transfer-Encoding:
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- chunked
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Vary:
|
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- Origin
|
||||
- X-Origin
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||||
- Referer
|
||||
X-Content-Type-Options:
|
||||
- nosniff
|
||||
X-Frame-Options:
|
||||
- SAMEORIGIN
|
||||
X-XSS-Protection:
|
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- '0'
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
version: 1
|
||||
@@ -282,9 +282,6 @@ def test_gemini_models(model):
|
||||
@pytest.mark.parametrize(
|
||||
"model",
|
||||
[
|
||||
"gemini/gemma-3-1b-it",
|
||||
"gemini/gemma-3-4b-it",
|
||||
"gemini/gemma-3-12b-it",
|
||||
"gemini/gemma-3-27b-it",
|
||||
],
|
||||
)
|
||||
@@ -377,6 +374,7 @@ def get_weather_tool_schema():
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def test_context_window_exceeded_error_handling():
|
||||
"""Test that litellm.ContextWindowExceededError is converted to LLMContextLengthExceededException."""
|
||||
from litellm.exceptions import ContextWindowExceededError
|
||||
@@ -392,7 +390,7 @@ def test_context_window_exceeded_error_handling():
|
||||
mock_completion.side_effect = ContextWindowExceededError(
|
||||
"This model's maximum context length is 8192 tokens. However, your messages resulted in 10000 tokens.",
|
||||
model="gpt-4",
|
||||
llm_provider="openai"
|
||||
llm_provider="openai",
|
||||
)
|
||||
|
||||
with pytest.raises(LLMContextLengthExceededException) as excinfo:
|
||||
@@ -407,7 +405,7 @@ def test_context_window_exceeded_error_handling():
|
||||
mock_completion.side_effect = ContextWindowExceededError(
|
||||
"This model's maximum context length is 8192 tokens. However, your messages resulted in 10000 tokens.",
|
||||
model="gpt-4",
|
||||
llm_provider="openai"
|
||||
llm_provider="openai",
|
||||
)
|
||||
|
||||
with pytest.raises(LLMContextLengthExceededException) as excinfo:
|
||||
@@ -598,6 +596,7 @@ def test_handle_streaming_tool_calls(get_weather_tool_schema, mock_emit):
|
||||
expected_final_chunk_result=expected_final_chunk_result,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_handle_streaming_tool_calls_with_error(get_weather_tool_schema, mock_emit):
|
||||
def get_weather_error(location):
|
||||
@@ -609,9 +608,7 @@ def test_handle_streaming_tool_calls_with_error(get_weather_tool_schema, mock_em
|
||||
{"role": "user", "content": "What is the weather in New York?"},
|
||||
],
|
||||
tools=[get_weather_tool_schema],
|
||||
available_functions={
|
||||
"get_weather": get_weather_error
|
||||
},
|
||||
available_functions={"get_weather": get_weather_error},
|
||||
)
|
||||
assert response == ""
|
||||
expected_final_chunk_result = '{"location":"New York, NY"}'
|
||||
@@ -676,8 +673,11 @@ def test_llm_call_when_stop_is_unsupported(caplog):
|
||||
assert isinstance(result, str)
|
||||
assert "Paris" in result
|
||||
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_llm_call_when_stop_is_unsupported_when_additional_drop_params_is_provided(caplog):
|
||||
def test_llm_call_when_stop_is_unsupported_when_additional_drop_params_is_provided(
|
||||
caplog,
|
||||
):
|
||||
llm = LLM(model="o1-mini", stop=["stop"], additional_drop_params=["another_param"])
|
||||
with caplog.at_level(logging.INFO):
|
||||
result = llm.call("What is the capital of France?")
|
||||
@@ -690,6 +690,7 @@ def test_llm_call_when_stop_is_unsupported_when_additional_drop_params_is_provid
|
||||
def ollama_llm():
|
||||
return LLM(model="ollama/llama3.2:3b")
|
||||
|
||||
|
||||
def test_ollama_appends_dummy_user_message_when_last_is_assistant(ollama_llm):
|
||||
original_messages = [
|
||||
{"role": "user", "content": "Hi there"},
|
||||
|
||||
313
tests/tracing/test_tracing.py
Normal file
313
tests/tracing/test_tracing.py
Normal file
@@ -0,0 +1,313 @@
|
||||
import os
|
||||
import pytest
|
||||
from unittest.mock import patch, MagicMock
|
||||
|
||||
# Remove the module-level patch
|
||||
from crewai import Agent, Task, Crew
|
||||
from crewai.utilities.events.listeners.tracing.trace_listener import (
|
||||
TraceCollectionListener,
|
||||
)
|
||||
from crewai.utilities.events.listeners.tracing.trace_batch_manager import (
|
||||
TraceBatchManager,
|
||||
)
|
||||
from crewai.utilities.events.listeners.tracing.types import TraceEvent
|
||||
|
||||
|
||||
class TestTraceListenerSetup:
|
||||
"""Test TraceListener is properly setup and collecting events"""
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def mock_auth_token(self):
|
||||
"""Mock authentication token for all tests in this class"""
|
||||
# Need to patch all the places where get_auth_token is imported/used
|
||||
with (
|
||||
patch(
|
||||
"crewai.cli.authentication.token.get_auth_token",
|
||||
return_value="mock_token_12345",
|
||||
),
|
||||
patch(
|
||||
"crewai.utilities.events.listeners.tracing.trace_listener.get_auth_token",
|
||||
return_value="mock_token_12345",
|
||||
),
|
||||
patch(
|
||||
"crewai.utilities.events.listeners.tracing.trace_batch_manager.get_auth_token",
|
||||
return_value="mock_token_12345",
|
||||
),
|
||||
patch(
|
||||
"crewai.utilities.events.listeners.tracing.interfaces.get_auth_token",
|
||||
return_value="mock_token_12345",
|
||||
),
|
||||
):
|
||||
yield
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def clear_event_bus(self):
|
||||
"""Clear event bus listeners before and after each test"""
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
|
||||
# Store original handlers
|
||||
original_handlers = crewai_event_bus._handlers.copy()
|
||||
|
||||
# Clear for test
|
||||
crewai_event_bus._handlers.clear()
|
||||
|
||||
yield
|
||||
|
||||
# Restore original state
|
||||
crewai_event_bus._handlers.clear()
|
||||
crewai_event_bus._handlers.update(original_handlers)
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def reset_tracing_singletons(self):
|
||||
"""Reset tracing singleton instances between tests"""
|
||||
# Reset TraceCollectionListener singleton
|
||||
if hasattr(TraceCollectionListener, "_instance"):
|
||||
TraceCollectionListener._instance = None
|
||||
TraceCollectionListener._initialized = False
|
||||
|
||||
yield
|
||||
|
||||
# Clean up after test
|
||||
if hasattr(TraceCollectionListener, "_instance"):
|
||||
TraceCollectionListener._instance = None
|
||||
TraceCollectionListener._initialized = False
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def mock_plus_api_calls(self):
|
||||
"""Mock all PlusAPI HTTP calls to avoid network requests"""
|
||||
with (
|
||||
patch("requests.post") as mock_post,
|
||||
patch("requests.get") as mock_get,
|
||||
patch("requests.put") as mock_put,
|
||||
patch("requests.delete") as mock_delete,
|
||||
patch.object(TraceBatchManager, "initialize_batch", return_value=None),
|
||||
patch.object(
|
||||
TraceBatchManager, "_finalize_backend_batch", return_value=True
|
||||
),
|
||||
patch.object(TraceBatchManager, "_cleanup_batch_data", return_value=True),
|
||||
):
|
||||
mock_response = MagicMock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"id": "mock_trace_batch_id",
|
||||
"status": "success",
|
||||
"message": "Batch created successfully",
|
||||
}
|
||||
mock_response.raise_for_status.return_value = None
|
||||
|
||||
mock_post.return_value = mock_response
|
||||
mock_get.return_value = mock_response
|
||||
mock_put.return_value = mock_response
|
||||
mock_delete.return_value = mock_response
|
||||
|
||||
yield {
|
||||
"post": mock_post,
|
||||
"get": mock_get,
|
||||
"put": mock_put,
|
||||
"delete": mock_delete,
|
||||
}
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
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"}):
|
||||
agent = Agent(
|
||||
role="Test Agent",
|
||||
goal="Test goal",
|
||||
backstory="Test backstory",
|
||||
llm="gpt-4o-mini",
|
||||
)
|
||||
task = Task(
|
||||
description="Say hello to the world",
|
||||
expected_output="hello world",
|
||||
agent=agent,
|
||||
)
|
||||
crew = Crew(agents=[agent], tasks=[task], verbose=True)
|
||||
|
||||
trace_listener = TraceCollectionListener()
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
|
||||
trace_listener.setup_listeners(crewai_event_bus)
|
||||
|
||||
with patch.object(
|
||||
trace_listener.batch_manager,
|
||||
"initialize_batch",
|
||||
return_value=None,
|
||||
) as initialize_mock:
|
||||
crew.kickoff()
|
||||
|
||||
assert initialize_mock.call_count >= 1
|
||||
|
||||
call_args = initialize_mock.call_args_list[0]
|
||||
assert len(call_args[0]) == 2 # user_context, execution_metadata
|
||||
_, execution_metadata = call_args[0]
|
||||
assert isinstance(execution_metadata, dict)
|
||||
assert "crew_name" in execution_metadata
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
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"}):
|
||||
agent = Agent(
|
||||
role="Test Agent",
|
||||
goal="Test goal",
|
||||
backstory="Test backstory",
|
||||
llm="gpt-4o-mini",
|
||||
)
|
||||
|
||||
task = Task(
|
||||
description="Say hello to the world",
|
||||
expected_output="hello world",
|
||||
agent=agent,
|
||||
)
|
||||
|
||||
crew = Crew(agents=[agent], tasks=[task], verbose=True)
|
||||
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
|
||||
trace_listener = None
|
||||
for handler_list in crewai_event_bus._handlers.values():
|
||||
for handler in handler_list:
|
||||
if hasattr(handler, "__self__") and isinstance(
|
||||
handler.__self__, TraceCollectionListener
|
||||
):
|
||||
trace_listener = handler.__self__
|
||||
break
|
||||
if trace_listener:
|
||||
break
|
||||
|
||||
if not trace_listener:
|
||||
pytest.skip(
|
||||
"No trace listener found - tracing may not be properly enabled"
|
||||
)
|
||||
|
||||
with patch.object(
|
||||
trace_listener.batch_manager,
|
||||
"finalize_batch",
|
||||
wraps=trace_listener.batch_manager.finalize_batch,
|
||||
) as finalize_mock:
|
||||
crew.kickoff()
|
||||
|
||||
assert finalize_mock.call_count >= 1
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
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"}):
|
||||
agent = Agent(
|
||||
role="Test Agent",
|
||||
goal="Test goal",
|
||||
backstory="Test backstory",
|
||||
llm="gpt-4o-mini",
|
||||
)
|
||||
task = Task(
|
||||
description="Say hello to the world",
|
||||
expected_output="hello world",
|
||||
agent=agent,
|
||||
)
|
||||
crew = Crew(agents=[agent], tasks=[task], verbose=True)
|
||||
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
|
||||
# Create and setup trace listener explicitly
|
||||
trace_listener = TraceCollectionListener()
|
||||
trace_listener.setup_listeners(crewai_event_bus)
|
||||
|
||||
with patch.object(
|
||||
trace_listener.batch_manager,
|
||||
"add_event",
|
||||
wraps=trace_listener.batch_manager.add_event,
|
||||
) as add_event_mock:
|
||||
crew.kickoff()
|
||||
|
||||
assert add_event_mock.call_count >= 2
|
||||
|
||||
completion_events = [
|
||||
call.args[0]
|
||||
for call in add_event_mock.call_args_list
|
||||
if call.args[0].type == "crew_kickoff_completed"
|
||||
]
|
||||
assert len(completion_events) >= 1
|
||||
|
||||
# Verify the first completion event has proper structure
|
||||
completion_event = completion_events[0]
|
||||
assert "crew_name" in completion_event.event_data
|
||||
assert completion_event.event_data["crew_name"] == "crew"
|
||||
|
||||
# Verify all events have proper structure
|
||||
for call in add_event_mock.call_args_list:
|
||||
event = call.args[0]
|
||||
assert isinstance(event, TraceEvent)
|
||||
assert hasattr(event, "event_data")
|
||||
assert hasattr(event, "type")
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_trace_listener_disabled_when_env_false(self):
|
||||
"""Test that trace listener doesn't make HTTP calls when tracing is disabled"""
|
||||
|
||||
with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "false"}):
|
||||
agent = Agent(
|
||||
role="Test Agent",
|
||||
goal="Test goal",
|
||||
backstory="Test backstory",
|
||||
llm="gpt-4o-mini",
|
||||
)
|
||||
task = Task(
|
||||
description="Say hello to the world",
|
||||
expected_output="hello world",
|
||||
agent=agent,
|
||||
)
|
||||
|
||||
crew = Crew(agents=[agent], tasks=[task], verbose=True)
|
||||
result = crew.kickoff()
|
||||
assert result is not None
|
||||
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
|
||||
trace_handlers = []
|
||||
for handlers in crewai_event_bus._handlers.values():
|
||||
for handler in handlers:
|
||||
if hasattr(handler, "__self__") and isinstance(
|
||||
handler.__self__, TraceCollectionListener
|
||||
):
|
||||
trace_handlers.append(handler)
|
||||
elif hasattr(handler, "__name__") and any(
|
||||
trace_name in handler.__name__
|
||||
for trace_name in [
|
||||
"on_crew_started",
|
||||
"on_crew_completed",
|
||||
"on_flow_started",
|
||||
]
|
||||
):
|
||||
trace_handlers.append(handler)
|
||||
|
||||
assert len(trace_handlers) == 0, (
|
||||
f"Found {len(trace_handlers)} trace handlers when tracing should be disabled"
|
||||
)
|
||||
|
||||
def test_trace_listener_setup_correctly(self):
|
||||
"""Test that trace listener is set up correctly when enabled"""
|
||||
|
||||
with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}):
|
||||
trace_listener = TraceCollectionListener()
|
||||
|
||||
assert trace_listener.trace_enabled is True
|
||||
assert trace_listener.batch_manager is not None
|
||||
assert trace_listener.trace_sender is not None
|
||||
|
||||
# Helper method to ensure cleanup
|
||||
def teardown_method(self):
|
||||
"""Cleanup after each test method"""
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
|
||||
crewai_event_bus._handlers.clear()
|
||||
|
||||
@classmethod
|
||||
def teardown_class(cls):
|
||||
"""Final cleanup after all tests in this class"""
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
|
||||
crewai_event_bus._handlers.clear()
|
||||
Reference in New Issue
Block a user