Chainlit
NormalDescription
Python framework for building production-grade conversational AI interfaces with multimodal support, file uploads, intermediate step visualization, and agent workflow display.
Key Features
- Build production-grade conversational AI UIs in minutes with pure Python
- Native multimodal support for text, images, file uploads, and audio
- Intermediate step visualization for transparent agent workflow display
- First-class integration with LangChain, LlamaIndex, OpenAI, and Anthropic
- Built-in user authentication, data persistence, and conversation history
- Open-source under Apache 2.0, community-maintained since 2025
Use Cases
💡 RAG chatbots with visible retrieval and reasoning steps
💡 Customer support AI agents with file upload and escalation
💡 Internal tools for querying databases via natural language
💡 Prototyping LLM-powered products before production deployment
💡 Educational platforms requiring transparent AI decision-making
Categories
Quick Start
pip install chainlit && chainlit hello — opens a hello app in your browser. For a custom app, create demo.py with @cl.on_message handler and run: chainlit run demo.py -w