Abhishek B R 428edee0bf config: reject out-of-range values in generated numeric flags (#5022)
* config: reject out-of-range values in generated numeric flags

Generated flags for uint8, uint16, uint32, int32 and float32 config
fields were parsed at a wider type and then converted with
reflect.Value.Convert, which wraps silently. For example
LIVEKIT_TURN_RELAY_RANGE_START=70000 became 4464, and
LIVEKIT_LIMIT_MAX_METADATA_SIZE=4294967296 became 0, which turns the
limit off. The YAML config rejects the same values.

Use the cli flag type that matches each field's width so the parse
fails with the env var or flag name in the error.

* config: cover uint, int8 and int16 in generated numeric flags

Move the numeric cases into numericCLIFlag and add Int8Flag, Int16Flag and UintFlag, so every numeric kind gets a flag of its own width even though no config field uses these three yet. TestNumericCLIFlagWidths checks each kind directly with an in-range value and one that does not fit.

* config: return an error from numericCLIFlag for unsupported kinds

numericCLIFlag returned nil when no case matched, and GenerateCLIFlags appended it unchecked. It now returns (cli.Flag, error) and the caller returns the error like the default case does.
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The LiveKit icon, the name of the repository and some sample code in the background.

LiveKit: Realtime infrastructure for voice, video, and AI agents

LiveKit is an open source platform for building voice, video, and physical AI agents. This repository is the LiveKit server: a scalable, distributed WebRTC SFU that moves realtime audio, video, and data between people, devices, and AI models. The SDKs, agents frameworks, and companion services are linked in the table at the bottom of this page.

LiveKit's server is written in Go, using the awesome Pion WebRTC implementation.

GitHub stars Slack community Twitter Follow Ask DeepWiki GitHub release (latest SemVer) GitHub Workflow Status License

Important

If you're building Voice AI, LiveKit Agents is the SDK for code-first realtime voice agents. STT, LLM, TTS, turn detection, expressive speech, keyterm accuracy, tool usage, and telephony all come bundled in the framework. It's available in both Python and Node.js.

# 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 with no per-provider API keys, and LiveKit Cloud handles deployment and observability. Visit the docs for more info at docs.livekit.io/agents.

Used in production by

LiveKit carries billions of calls a year for companies including Salesforce, Nvidia, Oracle, SAP, Deutsche Telekom, Spotify, Tinder, Coursera, Headspace, Skydio, Retell, Decagon, Cresta, and HeyGen. Read how Assort Health, Playback, and Polymath Robotics use it, or see more customers.

Features

Documentation & Guides

https://docs.livekit.io

Working with a coding agent? Give it the LiveKit Docs MCP server, or start with the coding agents guide.

Live Demos

Install

Tip

We recommend installing LiveKit CLI along with the server. It lets you access server APIs, create tokens, generate test traffic, and scaffold and deploy agents.

The following will install LiveKit's media server:

MacOS

brew install livekit

Linux

curl -sSL https://get.livekit.io | bash

Windows

Download the latest release here

Getting Started

Starting LiveKit

Start LiveKit in development mode by running livekit-server --dev. It'll use a placeholder API key/secret pair.

API Key: devkey
API Secret: secret

To customize your setup for production, refer to our deployment docs

Creating access token

A user connecting to a LiveKit room requires an access token. Access tokens (JWT) encode the user's identity and the room permissions they've been granted. You can generate a token with our CLI:

lk token create \
    --api-key devkey --api-secret secret \
    --join --room my-first-room --identity user1 \
    --valid-for 24h

Test with example app

Head over to our example app and enter a generated token to connect to your LiveKit server.

Once connected, your video and audio are now being published to your new LiveKit instance!

Simulating a test publisher

lk room join \
    --url ws://localhost:7880 \
    --api-key devkey --api-secret secret \
    --identity bot-user1 \
    --publish-demo \
    my-first-room

This command publishes a looped demo video to a room. Due to how the video clip was encoded (keyframes every 3s), there's a slight delay before the browser has sufficient data to begin rendering frames. This is an artifact of the simulation.

Adding an agent

Agents join rooms as participants, the same way a browser or a phone does. Follow the Voice AI quickstart to build one. An agent connects to a self-hosted server the same way it connects to LiveKit Cloud; when running without Cloud, use model plugins in place of LiveKit Inference.

Deployment

Use LiveKit Cloud

LiveKit Cloud is the fastest and most reliable way to run LiveKit. It runs in 19+ regions with 99.99% uptime and adds agent hosting, model inference, telephony, and observability on top of the server. The Build plan is free, with no credit card required.

Sign up for LiveKit Cloud.

Self-host

Read our deployment docs for more information. Official Docker images and Helm charts are available.

Building from source

Pre-requisites:

  • Go 1.26+ is installed
  • GOPATH/bin is in your PATH

Then run

git clone https://github.com/livekit/livekit
cd livekit
./bootstrap.sh
mage

Contributing

We welcome your contributions toward improving LiveKit! Please join us on Slack or in the Developer Community to discuss your ideas and/or PRs.

License

LiveKit server is licensed under Apache License v2.0.


LiveKit Ecosystem
Agents SDKsPython · Node.js
LiveKit SDKsBrowser · Swift · Android · Flutter · React Native · Rust · Node.js · Python · Unity · Unity (WebGL) · ESP32 · C++
Starter AppsPython Agent · TypeScript Agent · React App · SwiftUI App · Android App · Flutter App · React Native App · Web Embed
UI ComponentsReact · Android Compose · SwiftUI · Flutter
Server APIsNode.js · Golang · Ruby · Java/Kotlin · Python · Rust · PHP (community) · .NET (community)
ResourcesDocs · Docs MCP Server · CLI · LiveKit Cloud
LiveKit Server OSSLiveKit server · Egress · Ingress · SIP
CommunityDeveloper Community · Slack · X · YouTube

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