Developed Gemini 2.5 Flash model compatibility for the microsoft/autogen repository, enabling the platform to recognize and utilize Gemini models for advanced AI tasks such as vision processing, function calling, and structured output generation. This work involved updating the ModelFamily enum and modifying the _model_info.py module to support seamless integration of the new model family. Leveraging Python and skills in API integration and model management, the developer reduced friction in model compatibility, broadening the range of use cases supported by Autogen workflows. The contribution focused on full stack development, ensuring robust support for Gemini models without introducing new bugs.