Scripts2026年3月31日·1 分钟阅读

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.

TO
TokRepo精选 · Community
快速使用

先拿来用，再决定要不要深挖

这里应该同时让用户和 Agent 知道第一步该复制什么、安装什么、落到哪里。

pip install livekit-agents livekit-plugins-openai livekit-plugins-silero
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))
介绍

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:

@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.

🙏

来源与感谢

Created by LiveKit. Licensed under Apache 2.0. livekit/agents — 9,900+ GitHub stars

相关资产

Notion MCP Server — Official Notion Integration

Official Notion MCP server. Search, read, create, and update Notion pages, databases, and blocks from Claude Code, Cursor, or any MCP client. By Notion. 4.1K+ stars.

TokRepo精选

Cline — Autonomous AI Coding Agent for VS Code

Autonomous coding agent in VS Code. Creates/edits files, runs commands, browses the web, and uses MCP tools — with human approval at every step. 60K+ stars.

TokRepo精选

Graphiti — Real-Time Knowledge Graphs for AI Agents

Build real-time knowledge graphs for AI agents by Zep. Temporal awareness, entity extraction, community detection, and hybrid search. Production-ready. 24K+ stars.

TokRepo精选
◈首页🏆Trending👤我的