vision-agents-plugins-sarvam 0.5.3

Sarvam AI STT, TTS, and LLM integration for Vision Agents

Sarvam AI Plugin

This plugin provides STT, TTS, and LLM capabilities using Sarvam AI, a suite of AI models built for Indian languages.

Features

• STT: WebSocket streaming speech-to-text (Saarika / Saaras) with Voice Activity Detection for turn events.
• TTS: WebSocket streaming text-to-speech (Bulbul) with configurable speaker, pace, and language.
• LLM: OpenAI-compatible chat completions (Sarvam-30B / Sarvam-105B / Sarvam-M) via the existing ChatCompletionsLLM from the OpenAI plugin.

Installation

uv add vision-agents-plugins-sarvam

Usage

from vision_agents.core import Agent, User
from vision_agents.plugins import getstream, sarvam, smart_turn

agent = Agent(
    edge=getstream.Edge(),
    agent_user=User(name="Sarvam AI"),
    instructions="Reply in Hindi or English, whichever the user speaks",
    llm=sarvam.LLM(model="sarvam-30b"),
    stt=sarvam.STT(language="hi-IN"),
    tts=sarvam.TTS(speaker="shubh"),
    turn_detection=smart_turn.TurnDetection(),
)

All three services read the same SARVAM_API_KEY environment variable and send it via the api-subscription-key header.

References

• Sarvam API docs