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feat: Add LLM call events for improved observability

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- Introduce new LLM call events: LLMCallStartedEvent, LLMCallCompletedEvent, and LLMCallFailedEvent
- Emit events for LLM calls and tool calls to provide better tracking and debugging
- Add event handling in the LLM class to track call lifecycle
- Update event bus to support new LLM-related events
- Add test cases to validate LLM event emissions
This commit is contained in:
Lorenze Jay
2025-02-24 11:26:18 -08:00
parent 8a7584798b
commit b9d2884bc8
6 changed files with 297 additions and 4 deletions
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37
src/crewai/llm.py
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@@ -21,6 +21,12 @@ from typing import (
from dotenv import load_dotenv
from pydantic import BaseModel
from crewai.utilities.events.llm_events import (
LLMCallCompletedEvent,
LLMCallFailedEvent,
LLMCallStartedEvent,
LLMCallType,
)
from crewai.utilities.events.tool_usage_events import ToolExecutionErrorEvent
with warnings.catch_warnings():
@@ -259,6 +265,15 @@ class LLM:
>>> print(response)
"The capital of France is Paris."
"""
crewai_event_bus.emit(
self,
event=LLMCallStartedEvent(
messages=messages,
tools=tools,
callbacks=callbacks,
available_functions=available_functions,
),
)
# Validate parameters before proceeding with the call.
self._validate_call_params()
@@ -333,12 +348,13 @@ class LLM:
# --- 4) If no tool calls, return the text response
if not tool_calls or not available_functions:
self._handle_emit_call_events(text_response, LLMCallType.LLM_CALL)
return text_response
# --- 5) Handle the tool call
tool_call = tool_calls[0]
function_name = tool_call.function.name
print("function_name", function_name)
if function_name in available_functions:
try:
function_args = json.loads(tool_call.function.arguments)
@@ -350,6 +366,7 @@ class LLM:
try:
# Call the actual tool function
result = fn(**function_args)
self._handle_emit_call_events(result, LLMCallType.TOOL_CALL)
return result
except Exception as e:
@@ -374,12 +391,30 @@ class LLM:
return text_response
except Exception as e:
crewai_event_bus.emit(
self,
event=LLMCallFailedEvent(error=str(e)),
)
if not LLMContextLengthExceededException(
str(e)
)._is_context_limit_error(str(e)):
logging.error(f"LiteLLM call failed: {str(e)}")
raise
def _handle_emit_call_events(self, response: str, call_type: LLMCallType):
"""Handle the events for the LLM call.
Args:
response (str): The response from the LLM call.
call_type (str): The type of call, either "tool_call" or "llm_call".
"""
crewai_event_bus.emit(
self,
event=LLMCallCompletedEvent(
response=response, call_type=LLMCallType(call_type)
),
)
def _format_messages_for_provider(
self, messages: List[Dict[str, str]]
) -> List[Dict[str, str]]:

1
src/crewai/utilities/events/__init__.py
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@@ -34,6 +34,7 @@ from .tool_usage_events import (
ToolUsageEvent,
ToolValidateInputErrorEvent,
)
from .llm_events import LLMCallCompletedEvent, LLMCallFailedEvent, LLMCallStartedEvent
# events
from .event_listener import EventListener

2
src/crewai/utilities/events/task_events.py
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@@ -1,4 +1,4 @@
from typing import Any, Optional
from typing import Optional
from crewai.tasks.task_output import TaskOutput
from crewai.utilities.events.base_events import CrewEvent

103
tests/utilities/cassettes/test_llm_emits_call_failed_event.yaml Normal file
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@@ -0,0 +1,103 @@
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50
tests/utilities/test_events.py
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@@ -1,6 +1,5 @@
import json
from datetime import datetime
from unittest.mock import MagicMock, patch
from unittest.mock import patch
import pytest
from pydantic import Field
@@ -9,6 +8,7 @@ from crewai.agent import Agent
from crewai.agents.crew_agent_executor import CrewAgentExecutor
from crewai.crew import Crew
from crewai.flow.flow import Flow, listen, start
from crewai.llm import LLM
from crewai.task import Task
from crewai.tools.base_tool import BaseTool
from crewai.tools.tool_usage import ToolUsage
@@ -31,6 +31,12 @@ from crewai.utilities.events.flow_events import (
MethodExecutionFailedEvent,
MethodExecutionStartedEvent,
)
from crewai.utilities.events.llm_events import (
LLMCallCompletedEvent,
LLMCallFailedEvent,
LLMCallStartedEvent,
LLMCallType,
)
from crewai.utilities.events.task_events import (
TaskCompletedEvent,
TaskFailedEvent,
@@ -495,3 +501,43 @@ def test_flow_emits_method_execution_failed_event():
assert received_events[0].flow_name == "TestFlow"
assert received_events[0].type == "method_execution_failed"
assert received_events[0].error == error
@pytest.mark.vcr(filter_headers=["authorization"])
def test_llm_emits_call_started_event():
received_events = []
@crewai_event_bus.on(LLMCallStartedEvent)
def handle_llm_call_started(source, event):
received_events.append(event)
@crewai_event_bus.on(LLMCallCompletedEvent)
def handle_llm_call_completed(source, event):
received_events.append(event)
llm = LLM(model="gpt-4o-mini")
llm.call("Hello, how are you?")
assert len(received_events) == 2
assert received_events[0].type == "llm_call_started"
assert received_events[1].type == "llm_call_completed"
@pytest.mark.vcr(filter_headers=["authorization"])
def test_llm_emits_call_failed_event():
received_events = []
@crewai_event_bus.on(LLMCallFailedEvent)
def handle_llm_call_failed(source, event):
received_events.append(event)
error_message = "Simulated LLM call failure"
with patch.object(LLM, "_call_llm", side_effect=Exception(error_message)):
llm = LLM(model="gpt-4o-mini")
with pytest.raises(Exception) as exc_info:
llm.call("Hello, how are you?")
assert str(exc_info.value) == error_message
assert len(received_events) == 1
assert received_events[0].type == "llm_call_failed"
assert received_events[0].error == error_message