During January 2026, Niming Xiaofeng developed inline data support for the Google GenAI Adapter in the BerriAI/litellm repository. This feature enabled the handling of Base64-encoded images alongside text within user messages, expanding the platform’s multimodal capabilities. Niming implemented robust backend logic in Python to process and transform inline data, ensuring seamless integration with existing API workflows. Comprehensive tests were added to verify correct data transformation for multimodal interactions, emphasizing reliability and maintainability. While no major bugs were addressed during this period, the work demonstrated proficiency in API development, backend engineering, and testing, contributing depth to the project’s data handling.