Worked on the pydantic/pydantic-ai repository to enhance reliability in Gemini streaming response handling, focusing on scenarios where responses included only executable_code or code_execution_result. Addressed a critical edge case by refining error handling and improving the robustness of streaming parsing and result aggregation. Leveraged Python for both the bug fix and the development of automated tests, ensuring that future regressions are caught early through reinforced CI checks. Emphasized API integration and comprehensive testing to reduce runtime errors in streaming workflows, ultimately strengthening the end-user experience for code execution features and contributing to the overall stability of the project.