Sarvam + LangChain

Agent Framework

Official LangChain integration for Sarvam AI. Use ChatSarvam as a drop-in BaseChatModel for chains, agents, tool calling, and structured output, exactly like ChatOpenAI or ChatAnthropic.

Sarvam APIs Supported

sarvam-105b

LLM

Multilingual large language model with native proficiency across Indian languages for text generation and reasoning.

How it works

Install langchain-sarvam

pip install langchain-sarvam python-dotenv

Add your API key

Set SARVAM_API_KEY in a .env file with a key from dashboard.sarvam.ai

Create a ChatSarvam instance

Use ChatSarvam in chains, agents, or tool-calling loops like any other BaseChatModel

Quick start

Install

Bash

pip install langchain-sarvam python-dotenv

Code

Python

from langchain_sarvam import ChatSarvam

llm = ChatSarvam(model="sarvam-105b")

response = llm.invoke("Translate this to malayalam: 'Keep cooking, guys'")
print(response.content)  # പാചകം തുടരൂ, സുഹൃത്തുക്കളേ

Use cases