Swayambhu focused on enhancing the networking layer of the BerriAI/litellm repository, addressing stability and reliability concerns in API integrations. By implementing robust response handling and standardizing error reporting and formatting, Swayambhu reduced the risk of crashes caused by non-array API responses from PublicModelHub. The work involved refactoring TypeScript networking code and expanding regression test coverage to detect incompatible API changes early. These targeted improvements increased error visibility and laid the foundation for smoother downstream feature development. Swayambhu’s contributions demonstrated depth in front end development and TypeScript, emphasizing maintainability and resilience in complex API-driven environments.