# LiveKit Agents — Build Real-Time Voice AI Agents

> Framework for building real-time voice AI agents. STT, LLM, TTS pipeline with sub-second latency. Supports OpenAI, Anthropic, Deepgram, ElevenLabs. 9.9K+ stars.

## Install

Save as a script file and run:

## Quick Use

```bash
pip install livekit-agents livekit-plugins-openai livekit-plugins-silero
```

```python
from livekit.agents import AutoSubscribe, JobContext, WorkerOptions, cli
from livekit.agents.voice import AgentSession, Agent
from livekit.plugins import openai, silero

async def entrypoint(ctx: JobContext):
    await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY)
    session = AgentSession(
        stt=openai.STT(),
        llm=openai.LLM(),
        tts=openai.TTS(),
        vad=silero.VAD.load(),
    )
    await session.start(ctx.room)

cli.run_app(WorkerOptions(entrypoint_fnc=entrypoint))
```

---

## Intro

LiveKit Agents is a framework for building real-time, multimodal voice AI agents. It provides a pipeline architecture for Speech-to-Text, LLM processing, and Text-to-Speech with sub-second end-to-end latency. Built on LiveKit's WebRTC infrastructure for production-grade voice communication. Supports OpenAI Realtime API, Anthropic, Deepgram, ElevenLabs, and more. 9,900+ GitHub stars.

**Best for**: Developers building voice assistants, phone agents, video call AI, and conversational interfaces
**Works with**: OpenAI, Anthropic, Deepgram, ElevenLabs, Azure, Google, Cartesia, AssemblyAI

---

## Key Features

### Voice Pipeline
Modular STT → LLM → TTS pipeline with automatic voice activity detection (VAD):
- **STT**: OpenAI Whisper, Deepgram, Google, Azure, AssemblyAI
- **LLM**: OpenAI (including Realtime), Anthropic, Google, Ollama
- **TTS**: OpenAI, ElevenLabs, Cartesia, Azure, Google

### Sub-Second Latency
Optimized for real-time conversation with streaming at every stage. Turn detection and interruption handling built in.

### Multimodal
Beyond voice — supports video input, screen sharing, and data channels for rich agent interactions.

### Production Infrastructure
Built on LiveKit's WebRTC platform — handles scaling, room management, recording, and telephony (SIP/PSTN).

### Function Calling
Agents can use tools mid-conversation:
```python
@agent.tool
async def check_weather(city: str) -> str:
    return f"It's 72F and sunny in {city}"
```

---

### FAQ

**Q: What is LiveKit Agents?**
A: A framework for building real-time voice AI agents with STT/LLM/TTS pipelines and sub-second latency. Built on LiveKit's WebRTC infrastructure. 9.9K+ stars.

**Q: Can I build a phone agent with LiveKit Agents?**
A: Yes, LiveKit supports SIP/PSTN telephony integration, so you can build agents that answer phone calls.

---

## Source & Thanks

> Created by [LiveKit](https://github.com/livekit). Licensed under Apache 2.0.
> [livekit/agents](https://github.com/livekit/agents) — 9,900+ GitHub stars

---
Source: https://tokrepo.com/en/workflows/804ee888-b285-4369-891e-15f424f587ed
Author: Script Depot