During February 2026, Canvinus focused on improving the stability of the Anthropic integration within the BerriAI/litellm repository. They addressed a recurring API error by refining the sanitization of tool_use IDs, replacing invalid characters with underscores in the convert_to_anthropic_tool_invoke function. This change reduced the likelihood of malformed requests and improved downstream reliability. Canvinus also developed targeted unit tests to verify the new sanitization logic, ensuring future maintainability and preventing regressions. Their work emphasized robust error handling and thorough testing, leveraging Python and API integration skills to enhance the reliability of the codebase without introducing new features during this period.