Meta plugin for LiveKit Agents
Support for Meta Muse Voice Transcribe using its realtime streaming speech-to-text interface.
Installation
pip install livekit-plugins-meta
Pre-requisites
Set a Meta Model API key in your environment using either variable:
MODEL_API_KEY=<your_model_api_key>
# Or: META_API_KEY=<your_model_api_key>
You can also pass the key directly with api_key=. The resolution order is api_key, MODEL_API_KEY, then META_API_KEY.
Usage
from livekit.agents import AgentSession
from livekit.plugins import meta
session = AgentSession(
stt=meta.STT(
keywords=["LiveKit", "Muse"],
language_bias=["English"],
),
# ... llm, tts, etc.
)
The plugin supports streaming recognition with server-side endpointing, cumulative interim transcripts, and mono PCM16 audio at 24 kHz. Connected streams must keep sending real-time PCM, including silence. keywords and language_bias are static hints applied during the initial handshake and cannot be changed on an active stream. Omit language_bias for automatic language detection.
Supported language names are: Arabic, Bengali, Dutch, English, French, German, Hebrew, Hindi, Indonesian, Italian, Japanese, Kannada, Korean, Malay, Mandarin Chinese, Marathi, Polish, Portuguese, Spanish, Tagalog, Tamil, Telugu, Thai, Turkish, and Vietnamese. The per-stream language= argument also accepts corresponding language codes and locales, such as en-US, pt-BR, and zh-CN, and maps them to the documented names.
Muse realtime sessions have a maximum duration of 60 minutes. This plugin reports the provider close and does not rotate an active LiveKit speech stream automatically; start a new stream to continue. Batch recognition, diarization, detected-language metadata, and active-stream keyterm updates are not supported.
1 maintainer
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