Beginner

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.

Chainlit in 5 Lines
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

FeatureChainlitGradioStreamlit
Primary UseChatbot UIsML model demosData dashboards
Chat SupportNative, full-featuredBasic gr.Chatbotst.chat_message
LangChainDeep integrationManualManual
Step TrackingAutomaticNot built-inNot built-in
File UploadsBuilt-inBuilt-inBuilt-in
AuthBuilt-in (OAuth, custom)BasicCommunity
ThemingFull customizationTheme systemLimited
When to choose Chainlit: Use Chainlit when building conversational AI apps, especially with LangChain or LlamaIndex. Choose Gradio for ML model demos, and Streamlit for data dashboards.

What's Next?

In the next lesson, we will install Chainlit and build our first chatbot in under 5 minutes.

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