Chainlit - Build AI applications

Chainlit

3.5 | 318 | 0
Type:
Open Source Projects
Last Updated:
2025/08/22
Description:
Chainlit: Build reliable conversational AI. Evaluate your AI system. Observability and Analytics platform for LLM apps.
Share:
conversational AI
python framework
AI development
LLM
open-source

Overview of Chainlit

Chainlit: The Open-Source Framework for Building Conversational AI Apps

What is Chainlit?

Chainlit is an open-source Python framework designed to help developers build reliable and user-friendly conversational AI applications. It simplifies the process of creating chat applications with custom Python logic, allowing you to focus on the core functionality of your AI system.

How to use Chainlit?

  1. Installation:

    $ pip install chainlit
    
  2. Run your app:

    $ chainlit run app.py
    

Why is Chainlit important?

Chainlit streamlines the development process, offering features like:

  • Easy Deployment: Deploy your application as a standalone web app, embedded copilot, FastAPI server, custom React component, or even a Slack/Discord/Teams bot.
  • Authentication: Supports various authentication methods, including simple auth and OAuth with providers like GitHub, Google, Azure, Okta, and Amazon.
  • Customization: Allows you to customize the application frontend and create custom chat components to match your brand and specific requirements.
  • Integrations: Provides integrations with popular frameworks and LLM providers such as OpenAI, Mistral, LangGraph, LlamaIndex, and HuggingFace.

Where can I use Chainlit?

Chainlit is suitable for a wide range of applications, including:

  • AI-powered chatbots
  • Virtual assistants
  • Customer support tools
  • Internal knowledge bases
  • Educational applications

Best way to build conversational AI apps?

Chainlit simplifies conversational AI app development and provides flexibility to implement a range of integrations, custom components, and deployment options. It's an ideal framework for developers who want to create reliable and engaging AI applications quickly.

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