livekit-plugins-anam

What it is and what it does

Livekit-plugins-anam is a plugin for the LiveKit Agents framework, a Python library for building real-time, programmable voice agents that run on servers. The base framework lets you create conversational, multi-modal agents that can see, hear, and understand by combining speech-to-text, language models, text-to-speech, and other AI services. This anam plugin extends that framework with additional capabilities, though the exact nature of those capabilities is not detailed in the available documentation.

The framework itself handles job scheduling, WebRTC client integration, telephony support, and data exchange with clients. You install it as a lightweight Python package with minimal dependencies and use it by defining agent classes, setting up an AgentServer, and implementing entrypoint functions that handle incoming sessions. The plugin integrates into this ecosystem as one of the available provider or processing options.

Use it for:

• Build a voice agent that answers customer support calls using anam's speech processing alongside other LiveKit providers.
• Create a multi-agent system where agents hand off conversations to each other, using anam for specialized voice handling.
• Deploy a real-time conversational AI that receives phone calls via LiveKit's telephony stack with anam-enhanced audio processing.
• Test and validate voice agent behavior using LiveKit's built-in test framework with anam as part of the agent pipeline.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Anam plugin for the LiveKit Agents framework that extends voice agent capabilities with additional speech processing or model integration features.

Yes, if you are already building with LiveKit Agents and need the specific capabilities anam provides. The plugin is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive Apache-2.0 license. However, verify that anam's functionality aligns with your use case before committing, as its exact role in the agent pipeline is not clearly documented in the available excerpt.

Install

livekit-plugins-anam on PyPI

pip install livekit-plugins-anam

uv add livekit-plugins-anam

poetry add livekit-plugins-anam

Installing livekit-plugins-anam

Before you install

Low friction installation as a pure Python wheel with a single runtime dependency on livekit-agents. Actively maintained with a recent release and no known vulnerabilities.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.

Quickstart

pip install livekit-plugins-anam

from livekit.agents import Agent, AgentSession, AgentServer
from livekit.plugins import anam

server = AgentServer()

@server.rtc_session()
async def entrypoint(ctx):
    session = AgentSession()
    agent = Agent(instructions="You are a helpful assistant")
    await session.start(agent=agent, room=ctx.room)

Requires Python 3.10 or later; also requires LiveKit server credentials (LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET) to run agents.

Verify before relying

• What specific speech processing or model capabilities does the anam plugin add beyond the base livekit-agents framework.
• Whether anam is a speech-to-text, text-to-speech, language model, or voice activity detection provider.
• Performance characteristics or latency impact of using this plugin in production voice agent deployments.

Package facts

Evidence: livekit_plugins_anam-1.6.10-py3-none-any.whl

Keywords: ai, audio, livekit, realtime, video, voice, webrtc

Tags

More Artificial Intelligence packages