Developed and delivered native Ollama language model integration for the SmythOS/sre repository, enabling local LLM interaction with text completion and tool usage. The work involved building a native Ollama connector and establishing SDK integration patterns, along with providing usage examples to streamline onboarding for client applications. Utilizing Node.js and TypeScript, the implementation focused on enhancing privacy, reducing latency, and minimizing cloud dependency by supporting offline AI workflows. This foundational backend and SDK integration laid the groundwork for broader local language model support, allowing developers to interact with local LLMs efficiently while potentially reducing operational costs and improving data privacy.