Mistral Voxtral STT Plugin
Mistral Voxtral realtime speech-to-text integration for Vision Agents.
Features
- Real-time speech recognition via WebSocket streaming
- Low-latency transcription using Voxtral models
- Automatic language detection
- Partial transcript streaming for responsive UX
- Sentence-level final transcripts (triggered by
.,?,!)
Installation
uv add "vision-agents[mistral]"
# or directly
uv add vision-agents-plugins-mistral
Usage
from vision_agents.core import Agent, Runner, User
from vision_agents.core.agents import AgentLauncher
from vision_agents.plugins import deepgram, gemini, getstream, mistral
async def create_agent(**kwargs) -> Agent:
return Agent(
edge=getstream.Edge(),
agent_user=User(name="Assistant", id="agent"),
instructions="You're a helpful voice AI assistant. Keep replies short and conversational.",
stt=mistral.STT(),
tts=deepgram.TTS(),
llm=gemini.LLM(),
)
async def join_call(agent: Agent, call_type: str, call_id: str, **kwargs) -> None:
call = await agent.create_call(call_type, call_id)
async with agent.join(call):
await agent.run()
if __name__ == "__main__":
Runner(AgentLauncher(create_agent=create_agent, join_call=join_call)).cli()
Run with:
uv run plugins/mistral/example/mistral_stt_example.py run
Turn Detection
Mistral Voxtral STT does not include built-in turn detection (turn_detection=False). You'll need to pair it with an external turn detection plugin.
Configuration
| Parameter | Description | Default |
|---|---|---|
api_key |
Mistral API key | MISTRAL_API_KEY env var |
model |
Model identifier | voxtral-mini-transcribe-realtime-2602 |
sample_rate |
Audio sample rate (Hz): 8000, 16000, 22050, 44100, 48000 | 16000 |
client |
Pre-configured Mistral client | None |
Events
The plugin emits standard STT events:
STTTranscriptEvent: Final transcript (emitted at sentence boundaries or stream end)STTPartialTranscriptEvent: Partial word/delta as transcription streams
Dependencies
mistralai[realtime]>=1.12.0vision-agents
2 maintainers
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