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Basic Information

This repository is the Node.js distribution of the LiveKit Agents framework and provides libraries and examples for building realtime, programmable server-side participants. It is designed to help developers create conversational, multi-modal voice agents that can listen, speak, and integrate other modalities. The framework introduces core concepts such as Agents (the application code that defines workflows), Workers (container processes that manage job queuing and instantiate agents for rooms), and Plugins (provider-specific components for STT, TTS, VAD, LLMs, and other tasks). The README includes a minimal voice assistant example and explains runtime behavior such as job acceptance, worker lifecycle, and SIGTERM shutdown handling. The SDK is marked beta and notes that a more mature Python implementation exists for production use. Installation uses pnpm and various provider plugin packages can be added as needed.

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App Details

Features
A plugin-based architecture with ready plugins for STT, TTS, LLMs, VAD, and endpointing that let agents compose provider features. An in-house, CPU-optimized phrase endpointing model shipped as a plugin to improve end-of-turn detection and conversational flow. Worker orchestration that connects to a LiveKit server over authenticated WebSockets, manages job queuing, and can run multiple agent instances concurrently. CLI commands to start or run a worker in dev mode and a connect command to join specific rooms. A developer-friendly playground web frontend for building and testing agents and an examples directory including a multimodal voice assistant example. Package installation via pnpm and an explicit list of available plugins are documented.
Use Cases
This framework helps developers build and operate realtime conversational agents by providing orchestration primitives, reusable provider integrations, and developer tooling. It simplifies connecting agents to a LiveKit server so workers receive and accept jobs, spawn agents into rooms, and manage multiple active sessions. Plugins let teams plug in STT, TTS, LLMs, and VAD without wiring low-level media or API logic. The CPU-optimized phrase endpointing plugin reduces interruptions and improves turn-taking for voice agents. The CLI and dev mode provide accessible runtime controls and debugging output. The playground frontend accelerates testing and UI prototyping. Production considerations such as SIGTERM behavior and a recommendation to consider the Python implementation for broader integrations are documented. The project is Apache-2.0 licensed.

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