Worked on the microsoft/RD-Agent repository to deliver a persistent caching toggle for the Pydantic-AI agent, enabling users to switch caching on or off with a single action. Integrated a Prefect-based caching layer and updated both initialization and query methods to utilize cached results, reducing latency for repeated queries and improving overall agent performance. Developed comprehensive unit tests to validate caching behavior and ensure regression safety. The implementation focused on Python and leveraged skills in AI agent development, caching strategies, and workflow orchestration with Prefect, resulting in a maintainable feature that streamlines repeated query handling without introducing new bugs.