$npx skillfedfor your agent

livekit-plugins-sarvam

Agent Framework plugin for services using Sarvam.ai's API.

Worth itPyPI Artificial IntelligenceReleased Aug 202691.8K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — livekit_plugins_sarvam-1.6.10-py3-none-any.whl
v1.6.10 · released 2026-08-13 · Python >=3.10.0 · 2 runtime deps: livekit-agents, numpy

Yes. The package is actively maintained, has low install friction, carries a permissive license, and fills a clear niche for developers needing Sarvam.ai integration with LiveKit Agents. No known vulnerabilities. Install if you are building real-time agents that require Indian-language voice support or Sarvam's LLM models.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a Sarvam.ai API key set as the SARVAM_API_KEY environment variable; Python 3.10 or later required.
  • Low friction install with a pure-Python wheel.
  • Actively maintained as of 2026-08-14 with recent release history; requires Python 3.10 or later and depends only on livekit-agents and numpy.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production deployments.

last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,004 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 91,821 downloads/mo, #13,499 on PyPI

Verify before relying

pip install livekit-plugins-sarvam

from livekit.plugins import sarvam

llm = sarvam.LLM(model="sarvam-30b")
  • Whether STT and TTS integrations require additional setup beyond the API key beyond what the description states.
  • Specific latency or throughput characteristics for real-time voice applications.
  • Whether tool-calling support is fully compatible with all LiveKit Agents workflows.
Same gist for agents: .md · .json

What it is and what it does

This package extends LiveKit Agents with Sarvam.ai's voice and language models, enabling speech-to-text conversion via Saarika models, text-to-speech synthesis via Bulbul models, and LLM chat completions with models like sarvam-30b and sarvam-105b. It is designed for developers building real-time conversational agents that need to support Indian languages and Indic scripts.

The plugin provides OpenAI-compatible interfaces for the LLM component, including tool-calling support, and integrates directly into the LiveKit Agents framework. It depends on livekit-agents and numpy, and requires only a Sarvam.ai API key to operate. The package is actively maintained and released frequently.

Use it for

  • Build multilingual voice agents that handle Indian-language speech input and output in real-time video/audio calls.
  • Add Sarvam's LLM models to LiveKit Agents for chat-based conversational AI with tool calling.
  • Convert user speech in Indian languages to text for processing by downstream agents or services.
  • Synthesize responses back to users in Indian languages using Sarvam's TTS models.
  • Deploy OpenAI-compatible LLM endpoints using Sarvam's 30B and 105B models within LiveKit workflows.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has low install friction, carries a permissive license, and fills a clear niche for developers needing Sarvam.ai integration with LiveKit Agents. No known vulnerabilities. Install if you are building real-time agents that require Indian-language voice support or Sarvam's LLM models.

Install

livekit-plugins-sarvam on PyPI

Before you install

Low friction install with a pure-Python wheel. Actively maintained as of 2026-08-14 with recent release history; requires Python 3.10 or later and depends only on livekit-agents and numpy.

Requires a Sarvam.ai API key set as the SARVAM_API_KEY environment variable; Python 3.10 or later required.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production deployments.

Quickstart

pip install livekit-plugins-sarvam

from livekit.plugins import sarvam

llm = sarvam.LLM(model="sarvam-30b")

Verify before relying

  • Whether STT and TTS integrations require additional setup beyond the API key beyond what the description states.
  • Specific latency or throughput characteristics for real-time voice applications.
  • Whether tool-calling support is fully compatible with all LiveKit Agents workflows.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
livekit-agentsnumpy
MaintenanceActively maintained 1 days since the last release
Last repo commit
First released
Downloads91,821 / month, #13,499 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Topic :: Multimedia :: Sound/AudioTopic :: Multimedia :: VideoTopic :: Scientific/Engineering :: Artificial Intelligence

Evidence: livekit_plugins_sarvam-1.6.10-py3-none-any.whl

Tags

Capabilities
sarvam.ai integration livekitindian language speech to textsarvam stt tts pluginlivekit agents sarvamindic language voice aisarvam llm chat completionsreal-time voice agents
Topics
voice-aiindic-languagesrealtime-agents
PyPI keywords
audioindian-languagesindiclivekitrealtimesarvamsttttsvideowebrtc

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “sarvam.ai integration livekit”

Give your agent the search over MCP, or paste the wish link into any chat.

More Artificial Intelligence packages

litellm With conditions
PyPI · Artificial Intelligence · released Aug 2026

LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.

Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.

MITcompiled wheel
682.8Mdownloads / mo
huggingface-hub Worth it
PyPI · Artificial Intelligence · released Aug 2026

Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.

Install it if you work with Hugging Face Hub models or datasets.

Apache-2.0pure Python · 3.10.0+
442.4Mdownloads / mo
langchain Worth it
PyPI · Python Modules · released Aug 2026

LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.

MITpure Python
315.4Mdownloads / mo
hf-xet With conditions
PyPI · Artificial Intelligence · released Aug 2026

hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.

Apache-2.0compiled wheel · 3.8+
258.4Mdownloads / mo
tokenizers Worth it
PyPI · Artificial Intelligence · released Apr 2026

Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.

Apache-2.0compiled wheel · 3.10+
222.9Mdownloads / mo
transformers Worth it
PyPI · Artificial Intelligence · released Aug 2026

Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.

Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.

permissive licensepure Python · 3.10.0+
186.6Mdownloads / mo

See also livekit-plugins-cartesia · livekit-plugins-deepgram · sarvamai · livekit-plugins-assemblyai · livekit-plugins-google · livekit-plugins-inworld · livekit-plugins-openai · hume · livekit-plugins-anam · livekit-plugins-soniox

Further reading