This project provides a framework for deploying LangChain applications as production-ready APIs using Jina and FastAPI. It targets developers looking to easily scale their LLM-powered applications, offering both cloud deployment on Jina AI Cloud and self-hosting options.

How It Works

The core of the project utilizes decorators (@serving, @slackbot, @job) to wrap LangChain applications, abstracting away infrastructure management. It leverages FastAPI for API creation and Jina's serverless, autoscaling architecture for cloud deployments, enabling real-time streaming via WebSockets and secure API access with authorization.

Quick Start & Requirements

• Install via pip: pip install langchain-serve
• Deployment to Jina AI Cloud: lc-serve deploy <app-name>
• Further details and examples available in the official documentation.

Highlighted Details

• One-click deployment of pre-built LangChain apps like AutoGPT, BabyAGI, and Pandas-AI.
• Support for building and distributing Slack bots with a dedicated decorator.
• Features include secure API authorization, streaming LLM interactions, persistent storage, and asynchronous job execution.
• Ability to export applications as Docker Compose or Kubernetes YAML for self-hosting.

Maintenance & Community

This repository is no longer maintained. The project was developed by Jina AI. Community engagement is encouraged via Discord.

Licensing & Compatibility

The project does not explicitly state a license in the provided README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project is marked as no longer maintained, indicating a lack of ongoing development and potential for unaddressed issues or outdated dependencies.