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LangServe is an open-source deployment framework designed to expose LangChain applications as production-ready REST APIs. The tool simplifies the process of turning language-model pipelines, chains, and agents into web services that can be accessed by external applications. Instead of manually writing API endpoints, developers can use LangServe to automatically generate a server that exposes LangChain workflows through HTTP interfaces. The framework is built on top of FastAPI and uses Pydantic for request validation and structured data handling. It also includes client libraries that allow developers to interact with deployed chains from Python or JavaScript applications. LangServe is commonly used to deploy AI applications such as chatbots, document analysis pipelines, and agent-based systems that require scalable access through APIs.
Features
- Framework for deploying LangChain chains and agents as REST APIs
- Integration with FastAPI for building scalable web services
- Automatic request validation using Pydantic data models
- Client libraries for interacting with deployed services
- Support for streaming responses and batch requests
- Deployment infrastructure for production AI applications
Project Samples
