Vakyam AI plugin for LiveKit Agents
Support for voice synthesis with Vakyam AI Raaga 1 — text-to-speech for Indian languages.
See https://docs.vakyam.ai/integrations/livekit for provider docs.
Installation
pip install livekit-plugins-vakyam
Or with the LiveKit Agents extra:
uv add "livekit-agents[vakyam]"
Pre-requisites
You'll need an API key from Vakyam. Set it as an environment variable:
export VAKYAM_API_KEY="vak_live_..."
Usage
from livekit.agents import AgentSession
from livekit.plugins import vakyam
session = AgentSession(
tts=vakyam.TTS(
model="raaga-v1",
voice="Archana",
language="ta-IN",
sample_rate=24000,
),
# ... stt, llm, vad
)
stream() uses the realtime WebSocket API and sentence-tokenizes LLM text so
each utterance is one complete sentence (Vakyam does not accept partial
tokens). synthesize() uses HTTP streaming (POST /v1/tts/stream) and
returns PCM audio.
WebSocket connections are pooled and reused between sequential agent turns.
Each active synthesis stream has exclusive ownership of its connection, so an
overlapping stream uses a separate connection. On interruption, the plugin
sends cancel, drains through Vakyam's cancellation acknowledgement, and
returns the healthy connection to the pool.
Metadata
Release files for livekit-plugins-vakyam 1.8.9
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| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| livekit_plugins_vakyam-1.8.9-py3-none-any.whl | Python 3 | none | any | Details for livekit_plugins_vakyam-1.8.9-py3-none-any.whl |
Total release size: 29.4 kB
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