Sarvam STT integration guide

Overview

Sarvam provides advanced speech recognition technology optimized for Indian languages. With LiveKit's Sarvam integration and the Agents framework, you can build AI agents that provide high-accuracy transcriptions for Indian languages and accents.

Quick reference

This section provides a quick reference for the Sarvam STT plugin. For more information, see Additional resources.

Installation

Install the plugin from PyPI:

pip install "livekit-agents[sarvam]~=1.0"

Authentication

The Sarvam plugin requires a Sarvam API key.

Set SARVAM_API_KEY in your .env file.

Usage

Use Sarvam STT in an AgentSession or as a standalone transcription service. For example, you can use this STT in the Voice AI quickstart.

from livekit.plugins import sarvam

session = AgentSession(
   stt=sarvam.STT(
      language="hi-IN",
      model="saarika:v2.5",
   ),
   # ... llm, tts, etc.
)

Parameters

This section describes some of the available parameters. See the plugin reference for a complete list of all available parameters.

languagestringOptional

BCP-47 language code for supported Indian languages. See documentation for a complete list of supported languages.

modelstringOptionalDefault: saarika:v2.5

The Sarvam STT model to use. See documentation for a complete list of supported models.

Additional resources

The following resources provide more information about using Sarvam with LiveKit Agents.

Python package

The livekit-plugins-sarvam package on PyPI.

Plugin reference

Reference for the Sarvam STT plugin.

GitHub repo

View the source or contribute to the LiveKit Sarvam STT plugin.

Sarvam docs

Sarvam's full docs site.

Voice AI quickstart

Get started with LiveKit Agents and Sarvam.

Sarvam TTS

Guide to the Sarvam TTS integration with LiveKit Agents.