In November 2025, Wcyat enhanced the BerriAI/litellm repository by developing a schema transformation feature focused on API integration and backend development using Python. They introduced a cleanup function that removes non-string enum fields from schemas, ensuring compatibility with Gemini and Vertex APIs, which require string-only enums. To support this, Wcyat implemented automated tests that validate the cleanup logic and address failure scenarios in the cached content API. Additionally, they resolved an enum handling error in CreateCachedContentRequest, improving caching reliability. This work deepened test coverage and maintainability, addressing cross-API compatibility and reducing runtime errors in schema transformations.