Shlok Mestry focused on improving the stability of Gemini Chat streaming within the agentscope-ai/agentscope repository by addressing a crash caused by missing usage metadata in streaming responses. Using Python, Shlok implemented robust error handling and defensive backend development patterns to safely extract usage data, ensuring that ChatUsage objects are only created when token counts are present. This approach reduced the risk of runtime failures and improved the maintainability of the streaming logic. The solution was validated through targeted tests and code reviews, demonstrating careful attention to edge cases in API integration and enhancing the reliability of the Gemini chat model’s backend.