---
title: "Chainlit llms.txt · AI Docs Browser · mdream"
canonical_url: "https://mdream.dev/llms-txt/chainlit"
last_updated: "2026-10-09T06:57:14.289Z"
meta:
  description: "Browse Chainlit's llms.txt file interactively. 2 sections, 123 links, ~2.3k tokens. Explore sections, expand links inline, and copy documentation context for AI coding assistants."
  "og:description": "Explore Chainlit's llms.txt interactively. Expand docs inline, estimate tokens, copy for AI context."
  "og:title": "Chainlit llms.txt — Browse & Explore"
---

[llms.txt Tools](https://mdream.dev/llms-txt)

# **Chainlit llms.txt **

Browse Chainlit documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.

docs.chainlit.io/llms.txt

[Raw llms.txt](https://docs.chainlit.io/llms.txt)

[Open original](https://docs.chainlit.io/llms.txt)

## What is Chainlit's llms.txt?

Chainlit publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [~~llms.txt specification~~](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Chainlit offers and where to find details.

**Pass**

Spec

**2**

Sections

**123**

Links

**9.0 KB**

Size

**\~2.3k**

Tokens

Sections: Docs · Optional

## Add Chainlit Docs to Your AI Assistant

Select your tool to see how to add Chainlit's llms.txt as a documentation source.

1. **1**

   Open any chat or composer panel
2. **2**

   Type @Docs and select "Add new doc"
3. **3**

   Paste the URL: https://docs.chainlit.io/llms.txt
4. **4**

   Wait for the green dot (indexing complete)
5. **5**

   Reference @Docs in chat when asking about Chainlit

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

## Frequently Asked Questions

Chainlit publishes its llms.txt at https://docs.chainlit.io/llms.txt. This file provides a structured, markdown-formatted index of Chainlit's documentation that AI systems can consume to understand the project's APIs, guides, and references.

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Chainlit's documentation so it can provide better code suggestions and answers about Chainlit.

Chainlit's llms.txt contains 2 sections and 123 documentation links in 9.0 KB (\~2.3k tokens). Key sections include Docs, Optional.

The concise llms.txt index is approximately 2.3k tokens (9.0 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

Build Conversational AI in minutes ⚡️. Chainlit's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Chainlit.

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.

## Browse More llms.txt Files

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[View all 99 projects ](https://mdream.dev/llms-txt)

## Related Tools

[<h3>**llms.txt Generator **</h3>Generate an llms.txt for your own project.](https://mdream.dev/tools/llms-txt/generator) [<h3>**llms.txt Validator **</h3>Validate your llms.txt against the official spec.](https://mdream.dev/tools/llms-txt/validator)