Worked on expanding LiveKit’s LLM capabilities by integrating Cerebras within the livekit/agents-js and livekit/agents repositories. Developed plugins enabling streaming, tool calling, and optimized payload handling using msgpack and gzip, with comprehensive tests to ensure reliability. Improved voice interaction reliability by addressing deadlocks and refining chat context management, while aligning API behavior with the Python SDK for consistent error handling. Enhanced internal code quality through TypeScript typings, a generic UserData type, and utility helpers, supporting maintainability and scalability. Leveraged TypeScript, Node.js, and Python to deliver faster LLM workflows, more robust automated evaluations, and a cleaner, extensible codebase.