livekit-plugins-xai

What it is and what it does

This package is a plugin that connects xAI's Grok language model to LiveKit's Agent Framework, enabling developers to build voice agents powered by Grok. It acts as a bridge between the LiveKit agent runtime (which handles speech-to-text, text-to-speech, session management, and WebRTC communication) and xAI's Grok LLM API, allowing you to swap Grok in as the conversational intelligence layer of a voice agent.

The plugin is designed to work within the broader LiveKit ecosystem, which supports building multi-modal, real-time conversational agents that can see, hear, and respond. By using this xAI plugin, you specify Grok as your LLM choice when creating an AgentSession, and the framework handles the rest—routing user input to Grok, receiving responses, and feeding them back to the agent's text-to-speech pipeline. It follows the same integration pattern as other LiveKit model provider plugins.

Use it for:

• Build a customer support voice agent powered by Grok that can handle real-time phone or video calls through LiveKit's telephony and WebRTC stack.
• Create a multi-agent handoff system where Grok serves as the primary conversational model, routing users between specialized agents based on intent.
• Deploy a voice assistant that uses Grok's reasoning capabilities to answer complex questions or perform tool-based tasks during live conversations.
• Integrate Grok into an existing LiveKit agent application to compare its performance or cost against other LLM providers without rewriting session logic.
• Build a testing or evaluation framework that uses Grok to validate agent behavior in automated voice interaction scenarios.

Worth the install?

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

Integrates xAI's Grok LLM with LiveKit's Agent Framework to enable voice agents that can understand and respond in real-time conversations.

Yes, if you want to use Grok as the LLM in a LiveKit voice agent. The plugin is actively maintained, has no known vulnerabilities, installs with minimal friction, and is licensed permissively. Install it only if you have xAI API access and are already building with LiveKit Agents; it is a provider-specific plugin, not a standalone tool.

Install

livekit-plugins-xai on PyPI

pip install livekit-plugins-xai

uv add livekit-plugins-xai

poetry add livekit-plugins-xai

Installing livekit-plugins-xai

Before you install

Installs cleanly with a single runtime dependency on livekit-agents. Actively maintained with a recent release (1 day old) and strong upstream project health (13003 stars, last commit 2026-08-14).

License in practice

Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions.

Quickstart

pip install livekit-plugins-xai

from livekit.plugins import xai
from livekit.agents import AgentSession

# Use xAI's Grok as the LLM in an agent session
session = AgentSession(
    llm=xai.LLM(model="grok-3"),  # or another available Grok model
    # ... configure STT, TTS, VAD as needed
)

Requires livekit-agents to be installed and configured; you will need xAI API credentials (typically via environment variables or direct configuration).

Verify before relying

• Which Grok model versions are supported by this plugin version (1.6.10)
• Whether xAI API credentials are required and how they are passed to the LLM
• Latency and performance characteristics of Grok responses in real-time agent scenarios
• Whether this plugin supports streaming or only request-response mode

Package facts

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

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

Tags

More Artificial Intelligence packages

Further reading