Worked on the jeejeelee/vllm repository to enhance API reliability, security, and developer experience by improving error handling and validation processes. Focused on refining Pydantic validation error reporting, removing internal markers and sensitive details from API responses to prevent information leakage and streamline integration for API consumers. Addressed a critical input validation issue by enforcing stricter type checks on logit_bias keys, raising clear exceptions for invalid input. Utilized Python, FastAPI, and Pydantic to implement these changes, while also updating unit tests to ensure sensitive information was not exposed, resulting in a more robust and compliant backend API service.