Mistral AI Plugin for LiveKit Agents

Support for Mistral AI STT, TTS, and LLM services.

Installation

pip install livekit-plugins-mistralai

For streaming STT (Voxtral Realtime), also install silero plugin.

pip install livekit-plugins-silero

Pre-requisites

You'll need an API key from Mistral AI. It can be set as an environment variable:

export MISTRAL_API_KEY=your_api_key_here

Usage

Speech-to-Text (STT)

Offline transcription

from livekit.plugins import mistralai

stt = mistralai.STT()

# With context biasing
stt = mistralai.STT(
    model="voxtral-mini-latest",
    context_bias=["LiveKit", "Voxtral", "Mistral"]
)

Realtime streaming transcription

Voxtral Realtime streams interim transcripts over a WebSocket connection. Since this model has no server-side endpointing, the plugin runs an internal Silero VAD to detect when the user stops speaking and flush the audio — producing final transcripts and driving the end-of-turn pipeline.

from livekit.plugins import mistralai
from livekit.plugins.silero import VAD

# Using Silero VAD with default settings (550ms silence threshold)
stt = mistralai.STT(model="voxtral-mini-transcribe-realtime-2602")

# Using custom VAD settings (e.g. shorter silence threshold for faster responses)
stt = mistralai.STT(
    model="voxtral-mini-transcribe-realtime-2602",
    vad=VAD.load(min_silence_duration=0.3),
)

Text-to-Speech (TTS)

from livekit.plugins import mistralai

# Using a built-in voice
tts = mistralai.TTS(voice="en_paul_neutral")

# Using zero-shot voice cloning
import base64
ref_audio_b64 = base64.b64encode(open("sample.mp3", "rb").read()).decode()
tts = mistralai.TTS(ref_audio=ref_audio_b64)

LLM

from livekit.plugins import mistralai

llm = mistralai.LLM()

# With all available options
llm = mistralai.LLM(
    model="mistral-large-latest",
    temperature=0.7,
    top_p=0.9,
    max_completion_tokens=150,
    presence_penalty=0.1,
    frequency_penalty=0.1,
    random_seed=42,
    tool_choice="auto",
)

# With provider tools
agent = Agent(
    llm=llm,
    tools=[
        mistralai.tools.WebSearch(),
        mistralai.tools.CodeInterpreter(),
        mistralai.tools.DocumentLibrary(library_ids=["<your-library-id>"]),
        mistralai.tools.Connector(connector_id="<your_connector_id>")
    ]
)

Project links

Data verified by PyPI on Aug 13, 2026
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Key dates

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  • Released:
Latest release

Owner

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Credits

Author: LiveKit

GitHub Statistics

Data verified by PyPI on Aug 13, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.10.0

Tags

ai audio livekit mistral realtime video voice

Classifiers

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