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LangServe

Deploy LangChain runnables and chains as production-ready REST APIs

★ 2,330 GitHub MIT langchainapideploymentpythonllm-servingfastapirest-api LLM & Chat

Overview

LangServe is an official LangChain tool that helps developers deploy LangChain runnables and chains as REST APIs. Built on FastAPI and pydantic, LangServe automatically generates API endpoints from any LangChain chain or runnable with minimal code. It features a built-in interactive playground UI for testing endpoints, automatic input/output schema generation, streaming support, and both Python and JavaScript client libraries for easy integration. Whether you are building a RAG pipeline, an agent workflow, or a simple LLM chain, LangServe turns it into a production-ready API endpoint instantly. Note: LangServe has been deprecated since Nov 2024 in favor of the LangGraph Platform, though it remains functional for existing deployments.

Requirements

Min vCPU
1
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
1024 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  langserve:
    image: langchain/langserve:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/langserve:/data

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Guides & articles

Getting Started with LangServe: Docker Quick Start Guide

Run LangServe with Docker in minutes. Step-by-step guide to deploying LangChain chains as REST APIs using Docker and Docker Compose.

Jun 27, 2026

LangServe: Deploy LangChain Chains as Production-Ready REST APIs

Deploy any LangChain runnable as a REST API with LangServe — automatic endpoints, streaming, validation, and a built-in playground.

Jun 27, 2026