Worked on stabilizing generator-driven workflows in the pydantic/pydantic-ai repository by addressing a critical bug related to generator termination. Focused on backend development using Python, the work involved refining asynchronous programming patterns to ensure that nested generators in GraphRun could terminate cleanly without causing recursion errors. Exception handling was improved by refactoring error management to use BaseExceptionGroup, which provided clearer grouping and enhanced compatibility with modern Python standards. This targeted fix reduced runtime crashes during generator termination, resulting in more reliable production behavior and a smoother developer experience when working with asynchronous and generator-based backend systems.