sarvam-ai

Guide Sarvam API usage for Indian-language speech and chat workflows.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/abhishek207/sarvam-skill --skill sarvam-ai-abhishek207
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sarvam-ai
Source: https://github.com/abhishek207/sarvam-skill/tree/main/sarvam-ai
Command: npx skills add https://github.com/abhishek207/sarvam-skill --skill sarvam-ai-abhishek207

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sarvam AI accelerates the development of multilingual Indian-language applications by providing centralized guidance, best practices, and ready-to-use API patterns for speech-to-text, text-to-speech, translation, transliteration, language detection, chat completions, and real-time voice agents.

Core Features & Use Cases

  • End-to-end guidance for STT, TTS, translation, transliteration, language detection, chat, and live voice agent orchestration.
  • Practical flows and examples for building real-time voice agents with Bulbul v3 and Saaras v3 across Hindi and other Indian languages.
  • SDK setup, authentication, and model naming conventions across Python and JavaScript ecosystems to speed integration.

Quick Start

Set up a basic STT→LLM→TTS flow for Hindi using Saaras v3 for transcription, sarvam-105b for chat, and bulbul:v3 for TTS.

Frequently Asked Questions about sarvam-ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a real-time voice agent pipeline for Indian languages?▼

To build a real-time voice agent pipeline for Indian languages, orchestrate a STT, LLM, and TTS flow using Saaras v3 for transcription, sarvam-105b for chat, and Bulbul v3 for speech synthesis.

What is the best way to integrate multilingual text-to-speech and speech-to-text for Hindi?▼

The best way to integrate multilingual text-to-speech and speech-to-text for Hindi is using Sarvam APIs, applying best-practice patterns with Saaras v3 for STT and Bulbul v3 for TTS across Python and JavaScript SDKs.

Can I use Sarvam APIs for translation and transliteration across Indian languages?▼

Yes, you can use Sarvam APIs for translation and transliteration across Indian languages, leveraging structured API patterns to process diverse multilingual scenarios alongside language detection.

Do I need prior API authentication knowledge to use Sarvam AI for multilingual applications?▼

Yes, you need familiarity with Sarvam API endpoints, authentication, model naming conventions like saar as v3, and language-code conventions to effectively build multilingual Indian-language applications.

How do I set up SDK authentication for Sarvam AI in Python and JavaScript?▼

To set up SDK authentication for Sarvam AI, follow the provided SDK setup patterns covering authentication steps and model naming conventions across Python and JavaScript ecosystems to accelerate integration.