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>")
]
)
Metadata
Release files for livekit-plugins-mistralai 1.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| livekit_plugins_mistralai-1.8.0.tar.gz | 12.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| livekit_plugins_mistralai-1.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.7 kB
Release files / livekit_plugins_mistralai-1.8.0.tar.gz
| Download URL | livekit_plugins_mistralai-1.8.0.tar.gz |
|---|---|
| Size | 12.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c705f3d81f0eb4208e34a6f8ee7ba401caa34cd739576694924a920706c875b6
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| Size | 15.0 kB |
| Tags | Python 3 |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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