Introduction to Chainlit
Chainlit is an open-source Python framework for building production-ready conversational AI applications. It provides a ChatGPT-like UI out of the box, with built-in support for streaming, step visualization, file uploads, and LangChain/LlamaIndex integration.
What is Chainlit?
Chainlit gives Python developers a fast path from LLM prototype to polished chatbot. Unlike Gradio (which targets ML demos) or Streamlit (which targets data dashboards), Chainlit is purpose-built for conversational AI.
import chainlit as cl @cl.on_message async def main(message: cl.Message): response = await generate_response(message.content) await cl.Message(content=response).send()
Key Features
ChatGPT-like UI
Beautiful chat interface with message history, typing indicators, and markdown rendering out of the box.
Step Visualization
See intermediate steps, tool calls, and chain reasoning in real time with expandable step panels.
Framework Integration
Native integration with LangChain, LlamaIndex, and Haystack. Automatic step tracking for chains and agents.
Multi-Modal
File uploads, image display, audio playback, and rich message elements (tables, charts, code blocks).
Chainlit vs Alternatives
| Feature | Chainlit | Gradio | Streamlit |
|---|---|---|---|
| Primary Use | Chatbot UIs | ML model demos | Data dashboards |
| Chat Support | Native, full-featured | Basic gr.Chatbot | st.chat_message |
| LangChain | Deep integration | Manual | Manual |
| Step Tracking | Automatic | Not built-in | Not built-in |
| File Uploads | Built-in | Built-in | Built-in |
| Auth | Built-in (OAuth, custom) | Basic | Community |
| Theming | Full customization | Theme system | Limited |
What's Next?
In the next lesson, we will install Chainlit and build our first chatbot in under 5 minutes.
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