livekit-plugins-sarvam

What it is and what it does

This package extends LiveKit Agents with Sarvam.ai's voice and language models, enabling speech-to-text conversion via Saarika models, text-to-speech synthesis via Bulbul models, and LLM chat completions with models like sarvam-30b and sarvam-105b. It is designed for developers building real-time conversational agents that need to support Indian languages and Indic scripts.

The plugin provides OpenAI-compatible interfaces for the LLM component, including tool-calling support, and integrates directly into the LiveKit Agents framework. It depends on livekit-agents and numpy, and requires only a Sarvam.ai API key to operate. The package is actively maintained and released frequently.

Use it for:

• Build multilingual voice agents that handle Indian-language speech input and output in real-time video/audio calls.
• Add Sarvam's LLM models to LiveKit Agents for chat-based conversational AI with tool calling.
• Convert user speech in Indian languages to text for processing by downstream agents or services.
• Synthesize responses back to users in Indian languages using Sarvam's TTS models.
• Deploy OpenAI-compatible LLM endpoints using Sarvam's 30B and 105B models within LiveKit workflows.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Integrates Sarvam.ai's Indian-language voice AI services (speech-to-text, text-to-speech, and LLM chat) into LiveKit Agents for real-time conversational applications.

Yes. The package is actively maintained, has low install friction, carries a permissive license, and fills a clear niche for developers needing Sarvam.ai integration with LiveKit Agents. No known vulnerabilities. Install if you are building real-time agents that require Indian-language voice support or Sarvam's LLM models.

Install

livekit-plugins-sarvam on PyPI

pip install livekit-plugins-sarvam

uv add livekit-plugins-sarvam

poetry add livekit-plugins-sarvam

Installing livekit-plugins-sarvam

Before you install

Low friction install with a pure-Python wheel. Actively maintained as of 2026-08-14 with recent release history; requires Python 3.10 or later and depends only on livekit-agents and numpy.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production deployments.

Quickstart

pip install livekit-plugins-sarvam

from livekit.plugins import sarvam

llm = sarvam.LLM(model="sarvam-30b")

Requires a Sarvam.ai API key set as the SARVAM_API_KEY environment variable; Python 3.10 or later required.

Verify before relying

• Whether STT and TTS integrations require additional setup beyond the API key beyond what the description states.
• Specific latency or throughput characteristics for real-time voice applications.
• Whether tool-calling support is fully compatible with all LiveKit Agents workflows.

Package facts

Evidence: livekit_plugins_sarvam-1.6.10-py3-none-any.whl

Keywords: audio, indian-languages, indic, livekit, realtime, sarvam, stt, tts, video, webrtc

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Further reading