Developed a unified multi-provider large language model interface for the makeplane/plane repository, enabling seamless access to OpenAI, Anthropic, and Gemini through a single API surface. The work involved integrating the LiteLLM library, refactoring existing GPT integration endpoints, and updating environment variable handling to support a new abstraction layer. This approach reduced friction when switching providers and broadened model accessibility, while ensuring consistent configuration across different services. The implementation focused on backend development using Python and Django, emphasizing maintainability and extensibility. No bugs were reported or fixed during this period, reflecting a focused delivery of new feature functionality.