Worked on the agno-agi/agno repository to enhance the stability and reliability of AWS Bedrock integration by addressing issues in Pydantic schema extraction. Focused on backend development using Python, the work involved replacing selective field extraction with a comprehensive copy of parameter information, ensuring that nested properties and arrays were fully preserved. Every parameter was guaranteed to include a description field, defaulting to an empty string when necessary. This approach prevented failures in downstream LLM tool calls caused by incomplete parameter extraction, improving the robustness of API integration and supporting more reliable tooling for future development and maintenance efforts.