Chainlit Framework
Build Conversational AI apps
Description
Chainlit Framework is an open-source tool designed to empower developers in building AI applications, with a particular focus on conversational AI. It enables the creation of chat applications powered by custom Python logic, facilitating rapid development and iteration.
The framework offers robust features including versatile deployment options for web apps, copilots, and bots, along with built-in authentication supporting various OAuth providers. Developers can extensively customize the frontend and chat components, and integrate with popular LLM providers and frameworks like OpenAI, Mistral, LangGraph, and LlamaIndex to enhance their applications.
Key Features
- Python-Based Development: Build chat applications with your own Python logic.
- Versatile Deployments: Deploy applications as standalone web apps, embedded copilots, FastAPI servers, custom React components, or Slack/Discord/Teams bots.
- Comprehensive Authentication: Supports simple authentication methods and OAuth providers like Github, Google, Azure, and Okta.
- Frontend Customization: Allows full customization of the application frontend and creation of custom chat components.
- Broad Integrations: Integrates with popular LLM providers (OpenAI, Mistral) and frameworks (LangGraph, LlamaIndex, HuggingFace).
Use Cases
- Developing custom chatbots and conversational agents.
- Building interactive AI-powered web applications.
- Creating embedded AI copilots for existing platforms.
- Deploying AI applications as Slack, Discord, or Teams bots.
- Rapidly prototyping and iterating on LLM-based applications.
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