Worked on the pydantic/pydantic-ai repository to enhance the stability and responsiveness of agent-based workflows by implementing graceful cancellation of Agent tool calls. Addressed a key reliability issue by ensuring that when Agent.run or Agent.run_stream_events coroutines are cancelled, associated tool calls are properly terminated, reducing the risk of orphaned tasks and excessive memory usage. This solution leveraged Python’s asyncio cancellation patterns and robust concurrency handling, laying the groundwork for more reliable long-running agent workloads in production environments. Collaborated through code review and co-authored commits, applying skills in API development, asynchronous programming, and unit testing to improve overall system resource management.