Mistral STT plugin guide | LiveKit Documentation

Overview

This plugin allows you to use Voxtral as an STT provider for your voice agents.

Installation

Install the LiveKit Mistral AI plugin from PyPI:

uv add "livekit-agents[mistralai]~=1.5"

Authentication

The Mistral AI integration requires a Mistral AI API key.

Set the MISTRAL_API_KEY in your .env file.

Usage

Use Mistral AI STT in your AgentSession or as a standalone transcription service. For example, you can use this STT in the Voice AI quickstart.

from livekit.plugins import mistralai

session = AgentSession(
    stt=mistralai.STT(
        model="voxtral-mini-latest"   
    ),
    # ... llm, tts, etc.
)

Parameters

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

modelstringDefault: voxtral-mini-latest

Name of the Voxtral STT model to use.

languagestring

The language code to use for better transcription accuracy if already known. Only used with batch models.

context_biaslist[str]

Words or phrases to guide the model toward good spelling or names or domain-specific vocabulary. Up to 100 items can be provided. Only used with batch models.

target_streaming_delay_msint

Target streaming delay in milliseconds for realtime mode. Only used with realtime models.

vadvad.VAD

Voice Activity Detector used to trigger audio flush for realtime models (which lack server-side endpointing). When not provided, Silero VAD is auto-loaded with default settings. Only used with realtime models.

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 STT plugin.

GitHub repo

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

Mistral AI platform docs

Mistral AI platform documentation.

Voice AI quickstart

Get started with LiveKit Agents and Mistral AI.