Worked on backend development and API integration for the BerriAI/litellm repository, focusing on stabilizing the embedding integration with HuggingFace. Addressed a bug where custom headers, such as X-HF-Bill-To, were not properly forwarded in embedding calls, which could lead to misbilling or integration issues for enterprise users. Implemented a targeted patch in Python that added the headers parameter to the huggingface_embed.embedding() function, ensuring all extra headers are transmitted as intended. This change aligned HuggingFace embedding behavior with other providers and improved reliability for enterprise scenarios, demonstrating attention to compatibility and robust API handling within the Python backend.