OpenClaw · Skill

Sarvam AI

This skill provides access to Sarvam AI's suite of Indian language models.

Communication
v1.0.1
VirusTotal: Benign

Install

Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.

Primary command

clawhub install iammhk/sarvam

ClawHub installer

npx clawhub@latest install iammhk/sarvam

OpenClaw CLI

openclaw skills install iammhk/sarvam

Direct OpenClaw install

openclaw install iammhk/sarvam

What this skill does

This skill provides access to Sarvam AI's suite of Indian language models.

Why it matters

Sarvam AI is purpose-built for Indian languages, covering TTS, STT, translation, and chat in a single API rather than stitching together multiple general-purpose services.

Typical use cases

  • Transcribing Hindi audio recordings to text
  • Generating spoken Bengali announcements from a script
  • Translating customer support messages between Indian languages and English
  • Building a chatbot that responds in regional Indian languages
  • Converting English documentation into spoken Hindi audio

Source instructions

Sarvam AI Skill

This skill provides access to Sarvam AI's suite of Indian language models.

Usage

Text to Speech (TTS)

Generate speech from text in various Indian languages.

python skills/sarvam/scripts/sarvam_cli.py tts "Namaste, kaise hain aap?" --lang hi-IN --speaker meera --output hello.wav

Parameters:

  • text: The text to speak.
  • --lang: Language code (e.g., hi-IN for Hindi, bn-IN for Bengali, etc.).
  • --speaker: Voice ID (e.g., meera, pavithra, arvind).
  • --output: Output file path (default: output.wav).

Speech to Text (STT)

Transcribe audio files.

python skills/sarvam/scripts/sarvam_cli.py stt path/to/audio.wav --model saaras:v3

Parameters:

  • file: Path to the audio file (wav, mp3).
  • --model: Model to use (default: saaras:v3).
  • --mode: STT Mode: transcribe (default), translate (to English), verbatim, translit, codemix.

Translation

Translate text between Indian languages and English.

python skills/sarvam/scripts/sarvam_cli.py translate "Hello, how are you?" --source en-IN --target hi-IN

Parameters:

  • text: Text to translate.
  • --source: Source language code.
  • --target: Target language code.

Chat

Interact with Sarvam's LLM (sarvam-2g).

python skills/sarvam/scripts/sarvam_cli.py chat "What is the capital of India?"

Parameters:

  • message: User message.
  • --model: Model to use (default: sarvam-2g).
  • --system: Optional system prompt.

Setup

  1. Environment Variable: Ensure your API key is set in .env (already done for this workspace):

    SARVAM_API_KEY="sk_..."
    
  2. Virtual Environment: The skill uses a local virtual environment at skills/sarvam/.venv. Dependencies (requests) are pre-installed here.

Usage

Use the virtual environment's Python to run commands:

Text to Speech (TTS)

skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py tts "Namaste, kaise hain aap?" --lang hi-IN --speaker meera --output hello.wav

Speech to Text (STT)

skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py stt path/to/audio.wav --model saaras:v3

Translation

skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py translate "Hello, how are you?" --source en-IN --target hi-IN

Chat

skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py chat "What is the capital of India?"

Related OpenClaw skills

Browse all →
Featured slot

Your product here

Reserve this slot to reach operators and coding-agent buyers.

Shown where builders are actively comparing tools and deployment options.

Advertise