Summary
Adding lifecycle hooks or callbacks to a PydanticAI Agent requires overriding the run methods or leveraging event handlers. While direct hooks are not explicitly documented, inheritance and method overriding are the recommended approaches.
Root Cause
- Lack of built-in lifecycle hooks: PydanticAI does not provide native lifecycle hooks for
before_runorafter_run. - Reliance on method overriding: Developers must inherit from the Agent class and override methods like
runorrun_syncto inject custom logic.
Why This Happens in Real Systems
- Flexibility vs. simplicity: Frameworks often prioritize simplicity over exhaustive features, leaving advanced customization to developers.
- Event-driven architecture: PydanticAI relies on event handlers (e.g.,
event_stream_handler) for post-run actions, but pre-run hooks require manual intervention.
Real-World Impact
- Increased boilerplate code: Developers must write additional code to override methods, reducing readability.
- Potential for errors: Overriding methods incorrectly can lead to unexpected behavior or bugs.
- Limited reusability: Custom logic is tightly coupled to the overridden methods, making it harder to reuse across agents.
Example or Code
from pydanticai import Agent
class CustomAgent(Agent):
def run(self, *args, **kwargs):
# Pre-run hook: Check credits
self.check_credits()
return super().run(*args, **kwargs)
def check_credits(self):
# Custom logic to check credits
pass
How Senior Engineers Fix It
- Encapsulate logic in mixins: Create reusable mixins with pre/post-run hooks to avoid duplicating code.
- Use decorators: Implement decorators to wrap
runmethods and inject custom logic dynamically. - Leverage event handlers: For post-run actions, utilize
event_stream_handlerto keep the code clean and modular.
Why Juniors Miss It
- Overlooking inheritance: Juniors may not realize they can inherit from the Agent class to customize behavior.
- Misunderstanding event handlers: They might confuse
event_stream_handleras a solution for pre-run hooks, which it is not. - Fear of overriding core methods: Juniors may hesitate to override methods like
run, fearing they might break functionality.