Developed OpenAI integration for SingleStoreDB Inference APIs within the singlestore-labs/singlestoredb-python repository, focusing on scalable access to external language models. The work involved implementing Python wrappers for ChatOpenAI and OpenAIEmbeddings, refactoring existing embedding logic to leverage the new abstraction, and introducing an InferenceAPIManager to centralize and streamline API connections. This approach improved code consistency, maintainability, and testability while enabling enterprise-grade model access through managed infrastructure. Emphasizing API integration, cloud services, and LLM integration, the feature reduced data movement and laid the groundwork for lower latency and scalable external model usage within the SingleStoreDB environment.