LiveKit AgentsOtvoreni framework programiranja u stvarnom vremenu višeznačajnih glasovnog i video-umjetničkih agenta AI

How can I learn more?

This documentation site is organized into several main sections: Introduction: Start here to understand LiveKit's core concepts and get set up.Build Agents: Learn how to build AI agents using the LiveKit Agents framework.Agent Frontends: Build web, mobile, and hardware interfaces for agents.Telephony: Connect agents to phone networks and traditional communication systems.WebRTC Transport: Deep dive into WebRTC concepts and low-level transport details.Manage & Deploy: Deploy and manage LiveKit agents and infrastructure, and learn how to test, evaluate, and observe agent performance.Reference: API references, SDK documentation, and component libraries. Use the sidebar navigation to explore topics within each section. Each page includes code examples, guides, and links to related concepts. Start with Understanding LiveKit overview to learn core concepts, then follow the guides that match your use case.

Asked by Fumiko Sato · Nov 19, 2025

How does LiveKit work?

LiveKit's architecture consists of several key components that work together.

Asked by Yuki Kobayashi · Oct 31, 2025

What can I build?

LiveKit supports a wide range of applications: AI assistants: Multimodal AI assistants and avatars that interact through voice, video, and text.Video conferencing: Secure, private meetings for teams of any size.Interactive livestreaming: Broadcast to audiences with realtime engagement.Customer service: Flexible and observable web, mobile, and telephone support options.Healthcare: HIPAA-compliant telehealth with AI and humans in the loop.Robotics: Integrate realtime video and powerful AI models into real-world devices. LiveKit provides the realtime foundation (low latency, scalable performance, and flexible tools) needed to run production-ready AI experiences.

Asked by Ravi Chandrasekaran · Sep 20, 2025

Why use LiveKit?

LiveKit differentiates itself through several key advantages: Build faster with high-level abstractions: Use the LiveKit Agents framework to quickly build production-ready AI agents with built-in support for speech processing, turn-taking, multimodal events, and LLM integration. When you need custom behavior, access lower-level WebRTC primitives for complete control. Write once, deploy everywhere: Both human clients and AI agents use the same SDKs and APIs, so you can write agent logic once and deploy it across Web, iOS, Android, Flutter, Unity, and backend environments. Agents and clients interact seamlessly regardless of platform. Focus on building, not infrastructure: LiveKit handles the operational complexity of WebRTC so developers can focus on building agents. Choose between fully managed LiveKit Cloud or self-hosted deployment — both offer identical APIs and core capabilities. Connect to any system: Extend LiveKit with egress, ingress, telephony, and server APIs to build end-to-end workflows that span web, mobile, phone networks, and physical devices.

Asked by Chioma Nwosu · Sep 6, 2025

What is LiveKit?

LiveKit is an open source framework and cloud platform for building voice, video, and physical AI agents. It provides the tools you need to build agents that interact with users in realtime over audio, video, and data streams. Agents run on the LiveKit server, which supplies the low-latency infrastructure (including transport, routing, synchronization, and session management) built on a production-grade WebRTC stack. This architecture enables reliable and performant agent workloads.

Asked by Greta Nowak · Aug 9, 2025