Sarvam AI

Sarvam AI is a speech-to-text plugin tuned for Indian languages. It transcribes the caller’s audio into text over Sarvam’s streaming WebSocket API, with optional speech-to-text translation.

Setup

Set your Sarvam AI API key in the worker environment. Generate a key from the Sarvam AI dashboard:

export SARVAMAI_API_KEY=<key>

The Python SDK requires scipy for audio resampling (pip install scipy).

Usage

Import the plugin and pass it to the pipeline’s stt slot.

from zeroruntime.plugins import SarvamAISTT

stt = SarvamAISTT(
    model="saaras:v3",
    language="en-IN",
)

# Pipeline(stt=stt, ...)

import { SarvamAISTT } from '@zeroruntime/js-sdk/plugins';

const stt = SarvamAISTT({
  model: 'saaras:v3',
  language: 'en-IN',
});

// Pipeline({ stt, ... })

Parameters

Constructor parameters for SarvamAISTT. The Python and Node JS SDKs share these field names.

Parameter	Type	Default	Description
`api_key`	`str`	`None`	Sarvam AI API key. Falls back to the `SARVAM_API_KEY` environment variable when unset.
`model`	`str`	`"saaras:v3"`	Sarvam speech-to-text model.
`language`	`str`	`"en-IN"`	Expected language (BCP-47 code) of the caller’s speech.
`input_sample_rate`	`int`	`48000`	Sample rate (Hz) of the incoming audio.
`output_sample_rate`	`int`	`16000`	Sample rate (Hz) the audio is resampled to before it is sent.
`mode`	`str`	`None`	Recognition mode (`"transcribe"`, `"translate"`, `"verbatim"`, `"translit"`, `"codemix"`). Applies only to the `saaras:v3` model.
`high_vad_sensitivity`	`bool`	`None`	Use higher voice-activity detection sensitivity.
`flush_signals`	`bool`	`None`	Emit flush signals to force transcript boundaries.
`translation`	`bool`	`False`	Translate the audio to the target language instead of transcribing verbatim.
`prompt`	`str`	`None`	Biasing prompt to guide recognition. Applies only when `translation` is enabled.

Import paths

SDK	Import	Constructor
Python	`from zeroruntime.plugins import SarvamAISTT`	`SarvamAISTT(...)`
Node JS	`import { SarvamAISTT } from '@zeroruntime/js-sdk/plugins'`	`SarvamAISTT({ ... })`

Transcribed text passes to the LLM once turn detection decides the caller has finished speaking.

Plugins

Inference Gateway

Speech-to-text

LLM

Text-to-speech

Realtime models

Avatars

Turn detection

Voice activity detection

Noise cancellation

Setup

Usage

Parameters

Import paths

​Setup

​Usage

​Parameters

​Import paths

Setup

Usage

Parameters

Import paths