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livekit-voice

LiveKit real-time voice and video infrastructure — create rooms, generate JWT access tokens, manage participants, and record sessions. Open source WebRTC for voice AI agents and real-time communication. Use for building voice agents, video rooms, or real-time audio.

Stars
15
Source
dvcrn/openclaw-skills-marketplace
Updated
2026-05-29
Slug
dvcrn--openclaw-skills-marketplace--livekit-voice
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/dvcrn/openclaw-skills-marketplace/HEAD/plugins/aiwithabidi--livekit-voice/skills/livekit-voice/SKILL.md -o .claude/skills/livekit-voice.md

Drops the SKILL.md into .claude/skills/livekit-voice.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

🎧 LiveKit Voice

LiveKit real-time voice/video infrastructure for OpenClaw agents. Create rooms, generate tokens, manage participants, and integrate with voice AI platforms.

What is LiveKit?

LiveKit is an open-source WebRTC infrastructure platform for building real-time audio/video applications. It powers voice AI agents, video conferencing, live streaming, and more.

Self-hosted vs Cloud:

  • LiveKit Cloud — Managed service, no infrastructure to maintain
  • Self-hosted — Deploy on your own servers via Docker/Kubernetes

Requirements

Variable Required Description
LIVEKIT_API_KEY ✅ LiveKit API key
LIVEKIT_API_SECRET ✅ LiveKit API secret
LIVEKIT_URL ✅ LiveKit server URL (e.g. wss://your-project.livekit.cloud)

Quick Start

# Create a room
python3 {baseDir}/scripts/livekit_api.py create-room my-room

# Create room with options
python3 {baseDir}/scripts/livekit_api.py create-room my-room --max-participants 10 --empty-timeout 300

# Generate access token for a participant
python3 {baseDir}/scripts/livekit_api.py token my-room --identity user123 --name "John"

# Generate token with specific grants
python3 {baseDir}/scripts/livekit_api.py token my-room --identity agent --can-publish --can-subscribe

# List active rooms
python3 {baseDir}/scripts/livekit_api.py list-rooms

# List participants in a room
python3 {baseDir}/scripts/livekit_api.py participants my-room

# Delete a room
python3 {baseDir}/scripts/livekit_api.py delete-room my-room

# Start recording (Egress)
python3 {baseDir}/scripts/livekit_api.py record my-room --output s3://bucket/recording.mp4

Commands

create-room <name>

Create a new LiveKit room.

  • --max-participants N — limit participants
  • --empty-timeout N — seconds before empty room auto-closes (default 300)

token <room>

Generate a JWT access token for a participant.

  • --identity ID — participant identity (required)
  • --name NAME — display name
  • --can-publish — allow publishing audio/video
  • --can-subscribe — allow subscribing to others
  • --ttl N — token TTL in seconds (default 3600)

list-rooms

List all active rooms with participant counts.

participants <room>

List participants in a room with their connection state and tracks.

delete-room <name>

Delete/close a room and disconnect all participants.

record <room>

Start an Egress recording of a room.

  • --output URL — output destination (S3, GCS, or local path)

Voice AI Integration

LiveKit is the backbone for many voice AI platforms:

  • Vapi — Uses LiveKit for real-time voice AI agent calls
  • ElevenLabs — Stream TTS audio into LiveKit rooms
  • OpenAI Realtime — Connect GPT-4o voice to LiveKit participants

Agent Pattern

  1. Create a LiveKit room
  2. Generate tokens for both human and AI agent
  3. AI agent joins, subscribes to human audio
  4. Process audio → STT → LLM → TTS → publish back
  5. Result: real-time voice conversation with AI

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

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