Mistral AI LLM plugin guide

Overview

This plugin allows you to use Mistral AI as an LLM provider for your voice agents.

Quick reference

This section includes a basic usage example and some reference material. For links to more detailed documentation, see Additional resources.

Installation

Install the LiveKit Mistral AI plugin from PyPI:

uv add "livekit-agents[mistralai]~=1.2"

Authentication

The Mistral AI integration requires a Mistral AI API key.

Set the MISTRAL_API_KEY in your .env file.

Usage

Use Mistral AI within an AgentSession or as a standalone LLM service. For example, you can use this LLM in the Voice AI quickstart.

from livekit.plugins import mistralai

session = AgentSession(
    llm=mistralai.LLM(
        model="mistral-medium-latest"
    ),
    # ... tts, stt, vad, turn_detection, etc.
)

Parameters

This section describes some of the available parameters. See the plugin reference for a complete list of all available parameters.

modelstring | ChatModelsOptionalDefault: ministral-8b-2410

Which Mistral AI model to use. You can pass a string or a typed enum from ChatModels.

temperaturefloatOptional

Controls the randomness of the model's output. Higher values, for example 0.8, make the output more random, while lower values, for example 0.2, make it more focused and deterministic.

Additional resources

The following resources provide more information about using Mistral AI with LiveKit Agents.

Python package

The livekit-plugins-mistralai package on PyPI.

Plugin reference

Reference for the Mistral AI LLM plugin.

GitHub repo

View the source or contribute to the LiveKit Mistral AI LLM plugin.

Mistral AI STT docs

Mistral AI STT documentation.

Mistral AI docs

Mistral AI platform documentation.

Voice AI quickstart

Get started with LiveKit Agents and Mistral AI.