chainlit-hl-custom 2.6.2

Build Conversational AI. (Custom fork of Chainlit)

Welcome to Chainlit 👋

⚠️ NOTICE: This is a custom fork of Chainlit

This is a fork of the original Chainlit project maintained by hlinmzn. The original Chainlit is developed by The Chainlit team and is available at https://chainlit.io/

This fork maintains full compatibility with the original Chainlit API.

Build python production-ready conversational AI applications in minutes, not weeks ⚡️

⚠️ Notice: Chainlit is now community-maintained.

As of May 1st 2025, the original Chainlit team has stepped back from active development. The project is maintained by @Chainlit/chainlit-maintainers under a formal Maintainer Agreement.

Maintainers are responsible for code review, releases, and security.
Chainlit SAS provides no warranties on future updates.

Want to help maintain? Apply here →

Website • Documentation • Chainlit Help • Cookbook

https://github.com/user-attachments/assets/b3738aba-55c0-42fa-ac00-6efd1ee0d148

Installation

Open a terminal and run:

pip install chainlit-hl-custom
chainlit hello

If this opens the hello app in your browser, you're all set!

Note: This fork maintains full API compatibility with the original Chainlit. You can still use import chainlit as cl in your code.

Development version

The latest in-development version can be installed straight from GitHub with:

pip install git+https://github.com/rpidhe/chainlit-pypi.git#subdirectory=backend/

(Requires Node and pnpm installed on the system.)

� Quickstart

🐍 Pure Python

Create a new file demo.py with the following code:

import chainlit as cl


@cl.step(type="tool")
async def tool():
    # Fake tool
    await cl.sleep(2)
    return "Response from the tool!"


@cl.on_message  # this function will be called every time a user inputs a message in the UI
async def main(message: cl.Message):
    """
    This function is called every time a user inputs a message in the UI.
    It sends back an intermediate response from the tool, followed by the final answer.

    Args:
        message: The user's message.

    Returns:
        None.
    """


    # Call the tool
    tool_res = await tool()

    await cl.Message(content=tool_res).send()

Now run it!

chainlit run demo.py -w

📚 More Examples - Cookbook

You can find various examples of Chainlit apps here that leverage tools and services such as OpenAI, Anthropiс, LangChain, LlamaIndex, ChromaDB, Pinecone and more.

Tell us what you would like to see added in Chainlit using the Github issues or on Discord.

💁 Contributing

As an open-source initiative in a rapidly evolving domain, we welcome contributions, be it through the addition of new features or the improvement of documentation.

For detailed information on how to contribute, see here.

📃 License

Chainlit is open-source and licensed under the Apache 2.0 license.