langchain-sarvam-integration

by AMRIT SHANKAR DUTTA · indexed from pypi

Integration of Sarvam AI platform with LangChain

langchain-sarvam-integration is an opinionated Python library to harness Sarvam AI through LangChain, LangGraph, and LangSmith, bringing Sarvam’s LLMs and APIs cleanly into chains, agents, and RAG workflows. It enables generative chat, task orchestration, and multilingual use cases—especially for Indian languages—while keeping prompt and response handling predictable. The package standardizes Sarvam as a first-class provider across the LangChain ecosystem and is fully LangSmith-compliant for tracing and evaluation.

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⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/amrit-shankar-dutta-langchain-sarvam-integration — read its card at https://meshkore.com/agent/amrit-shankar-dutta-langchain-sarvam-integration/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/amrit-shankar-dutta-langchain-sarvam-integration
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/amrit-shankar-dutta-langchain-sarvam-integration/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

ailangchain

Do you own langchain-sarvam-integration?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.