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📚Complete Guide

LiveKit Agents Tutorial: Get Started in 5 Minutes [2026]

Master LiveKit Agents with our step-by-step tutorial, detailed feature walkthrough, and expert tips.

Get Started with LiveKit Agents →Full Review ↗
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Getting Started with LiveKit Agents

1

Install the framework: pip install livekit

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agents livekit

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openai livekit

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deepgram Set up a LiveKit server or LiveKit Cloud project and generate API keys. Create a basic voice agent worker with STT, LLM, and TTS plugins configured. Connect a client using the LiveKit React SDK or web components to test the agent. Add function calling tools and tune VAD settings for production conversation quality.

💡 Quick Start: Follow these 4 steps in order to get up and running with LiveKit Agents quickly.

🔍 LiveKit Agents Features Deep Dive

Explore the key features that make LiveKit Agents powerful for voice agents workflows.

Real-Time Voice Pipeline (STT→LLM→TTS)

What it does:

Orchestrates Speech-to-Text, LLM inference, and Text-to-Speech in a streaming pipeline. LiveKit Agents supports streaming components so developers can build responsive voice agents while retaining control over model choice and conversation state.

Use case:

Speech-to-Speech with Realtime Models

What it does:

Supports direct audio-to-audio pipelines through realtime model integrations where available, reducing the need to stitch together separate transcription, text generation, and speech synthesis steps for some use cases.

Use case:

Voice Activity Detection and Interruption Handling

What it does:

Includes voice activity detection and turn-taking support so agents can respond to speech boundaries and handle user interruptions during live conversations.

Use case:

Swappable AI Provider Plugins

What it does:

Uses interchangeable plugins for speech, language, and voice providers. Teams should verify the current provider list in LiveKit documentation because supported integrations can change over time.

Use case:

Telephony Integration via SIP/PSTN

What it does:

Native SIP trunk integration connects voice agents to the public telephone network. Build inbound IVR systems, outbound calling workflows, or call center bots that interact with regular phone callers.

Use case:

Function Calling and Tool Use in Voice

What it does:

Agents can invoke tools and external APIs mid-conversation. The framework manages asynchronous tool execution while maintaining conversation state, allowing voice agents to look up data, book appointments, or trigger workflow actions.

Use case:

❓ Frequently Asked Questions

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Ready to Get Started?

Now that you know how to use LiveKit Agents, it's time to put this knowledge into practice.

✅

Try It Out

Sign up and follow the tutorial steps

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Start Using LiveKit Agents Today

Follow our tutorial and master this powerful voice agents tool in minutes.

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Tutorial updated March 2026