Update README to include snippet about Agents (#4808)

* Add Agents snippet to README.

Added important information about LiveKit Agents SDK for building Voice AI, including a code example and links to relevant documentation.

* Add tags for snippet
This commit is contained in:
Shayne Parlo
2026-09-01 16:05:24 -04:00
committed by GitHub
parent 4645bca189
commit ee45c3f0b1
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@@ -23,6 +23,39 @@ LiveKit's server is written in Go, using the awesome [Pion WebRTC](https://githu
[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/livekit/livekit/buildtest.yaml?branch=master)](https://github.com/livekit/livekit/actions/workflows/buildtest.yaml)
[![License](https://img.shields.io/github/license/livekit/livekit)](https://github.com/livekit/livekit/blob/master/LICENSE)
<!--BEGIN_AGENTS_INFO-->
> [!IMPORTANT]
> If you're building Voice AI, [LiveKit Agents](https://github.com/livekit/agents) is the SDK for code-first realtime voice agents. STT, LLM, TTS, turn detection, [expressive speech](https://docs.livekit.io/agents/models/tts/expressive/), [keyterm accuracy](https://docs.livekit.io/agents/models/stt/keyterms/), tool usage, and telephony all come bundled in the framework. It's available in both [Python](https://github.com/livekit/agents) and [Node.js](https://github.com/livekit/agents-js).
>
>```python
># agent.py
>from livekit import agents
>from livekit.agents import Agent, AgentServer, AgentSession, STTContextOptions, TurnHandlingOptions, inference
>
>server = AgentServer()
>
>
>@server.rtc_session(agent_name="my-agent")
>async def my_agent(ctx: agents.JobContext):
> session = AgentSession(
> stt=inference.STT(model="deepgram/nova-3", language="multi"),
> llm=inference.LLM(model="google/gemma-4-31b-it"),
> tts=inference.TTS(model="inworld/inworld-tts-2", voice="Ashley"),
> turn_handling=TurnHandlingOptions(turn_detection=inference.TurnDetector()),
> stt_context_options=STTContextOptions(keyterms=["LiveKit", "Acme Corp"]),
> expressive=True,
> )
> await session.start(room=ctx.room, agent=Agent(instructions="You are a helpful voice AI assistant."))
> await session.generate_reply(instructions="Greet the user and offer your assistance.")
>
>
>if __name__ == "__main__":
> agents.cli.run_app(server)
>```
>
>Models come from [LiveKit Inference](https://docs.livekit.io/agents/models/) with no per-provider API keys, and LiveKit Cloud handles [deployment](https://docs.livekit.io/deploy/agents/) and [observability](https://docs.livekit.io/deploy/observability/). Visit the docs for more info at [docs.livekit.io/agents](https://docs.livekit.io/agents/).
<!--END_AGENTS_INFO-->
## Features
- Scalable, distributed WebRTC SFU (Selective Forwarding Unit)