LiveKit
LiveKit Agents is a framework for building programmable, multimodal AI agents that orchestrate LLMs and other AI models to accomplish tasks.
About
LiveKit Agents is a framework for building programmable, multimodal AI agents that orchestrate LLMs and other AI models to accomplish tasks. This framework allows you to build agents using Python or Node.js. Unlike traditional HTTP servers, agents operate as stateful, long-running processes. They connect to the LiveKit network via WebRTC, enabling low-latency, realtime media and data exchange with frontend applications. The Agents framework overcomes several key limitations of traditional architectures: Multimodal: Agents can exchange voice, video, and text with users. Simpler frontend: Frontend applications use LiveKit’s SDKs to handle the complexities of WebRTC transport, media device management, and audio/video encoding and decoding. Low-latency: The LiveKit Cloud global mesh network connects each user to their nearest edge server, minimizing transport latency. Centralized business logic: Keeping business logic within the agent process allows it to support clients across platforms, including telephony integrations. Stateful: End-user interactions are inherently stateful. Rather than synchronizing client-side state through request/response cycles, agents provide a more intuitive way to manage these interactions.
Features & Capabilities
- —Build programmable, multimodal AI agents.
- —Orchestrate LLMs and other AI models.
- —Enable low-latency, real-time media and data exchange with frontend applications via WebRTC.
- —Simplify speech-to-text, text-to-speech, and LLM usage.
- —Provide prebuilt integrations with various providers and allow custom plugin creation.
- —Offer a worker service for agent orchestration and load balancing.