WIP crew events emitter

[lorenzejay]

No description provided.

[joaomdmoura]

Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment for crewAI Event Emitter Implementation

Summary

This PR introduces a robust event emitter system for crewAI, enhancing observability and monitoring of Crew, Agent, Task, and Flow execution with a structured event bus and various event types. The implementation adheres to modular design principles, ensuring a clean separation of concerns.

Key Code Improvements

1. Event Handler Registration:

   • Current:

   @event_bus.on(CrewKickoffStarted)
   def handler(source, event):
       print(f"Crew '{event.crew_name}' started")

   • Suggested Improvement:

   @event_bus.on(CrewKickoffStarted)
   def handler(source: Any, event: CrewKickoffStarted) -> None:
       try:
           print(f"Crew '{event.crew_name}' started", event.timestamp)
       except Exception as e:
           logger.error(f"Error handling CrewKickoffStarted: {e}")

   • Rationale: Adding type hints and proper error handling increases code clarity and robustness.

2. Context Manager for Agent Execution:

   • Current:

   emit(self, event=AgentExecutionStarted(agent=self, task=task))

   • Suggested Improvement:

   from contextlib import contextmanager
   
   @contextmanager
   def agent_execution_context(self, task):
       try:
           emit(self, AgentExecutionStarted(agent=self, task=task))
           yield
           emit(self, AgentExecutionCompleted(agent=self, task=task))
       except Exception as e:
           emit(self, AgentExecutionError(agent=self, task=task, error=str(e)))
           raise

   • Rationale: This pattern enhances error management, ensuring that all outcomes of the execution process are captured.

3. Global Instance Configuration:

   • Current:

   event_bus = EventBus()

   • Suggested Improvement:

   from typing import Final
   from pydantic import BaseSettings
   
   class EventBusConfig(BaseSettings):
       max_listeners: int = 100
       async_dispatch: bool = False
   
   EVENT_BUS: Final[EventBus] = EventBus(EventBusConfig())

   • Rationale: Configuring the event bus with settings improves flexibility and maintainability.

4. Event Data Validation:

   • Suggested Improvement:

   class BaseEvent(BaseModel):
       timestamp: datetime = Field(default_factory=datetime.now)
       type: str
   
       class Config:
           frozen = True
           arbitrary_types_allowed = True

   • Rationale: Implementing Pydantic for event validation adds a layer of reliability to event handling.

5. Testing Improvements:

   • Suggested Improvement:

   def test_concurrent_event_emission():
       events = []
       @event_bus.on(CrewKickoffStarted)
       def handler(source, event): events.append(event)
       
       with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
           futures = [executor.submit(emit_test_event) for _ in range(100)]
           concurrent.futures.wait(futures)
       
       assert len(events) == 100

   • Rationale: Expanding test scenarios validates the system's performance under load.

Historical Context

While this PR is robust in its current form, historical trends in related PRs suggest a consistent emphasis on error handling, event validation, and performance monitoring. The recent creation of files such as event_bus.py and structured event types (in agent_events.py, crew_events.py, and task_events.py) demonstrates an evolving architecture towards modular, accountable, and efficient event handling.

Implications for Related Files

• Changes to src/crewai/utilities/events/__init__.py and other event files tie into the new event architecture, necessitating careful review to ensure event emissions are correctly harnessed across the codebase.
• Maintain an eye towards future modifications that might enhance or impact this architectural change, keeping in mind the system's scalability.

Additional Recommendations

• Explore adding performance monitoring tools for event dispatching.
• Implement security measures like event sanitization and audit logging.
• Enhance documentation to assist developers in understanding the event system's components and usage.

Overall, this PR lays a strong foundation for a more observant and responsive crewAI system, with critical enhancements recommended to bolster its robustness and future scalability.