FastHTML llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/fasthtml/llms-txt) # FastHTML llms.txt Browse FastHTML documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools. fastht.ml/llms.txt [Raw llms.txt](https://fastht.ml/docs/llms.txt) [Raw llms-full.txt](https://fastht.ml/llms-full.txt) Copy Markdown [](https://fastht.ml/llms.txt) llms.txt Docs FastHTML concise guide HTMX reference Starlette quick guide API API List MonsterUI API List Examples Websockets application Todo list application Optional Surreal Starlette full documentation JS App Walkthrough FastHTML by Example Using Jupyter to write FastHTML FT Components FAQ MiniDataAPI Spec OAuth Routes WebSockets Custom Components Handling Handlers Live Reloading ## What is FastHTML's llms.txt? FastHTML 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 FastHTML offers and where to find details. Pass Spec 4 Sections 21 Links 4.7 KB Size ~1.2k Tokens Sections: Docs · API · Examples · Optional ## Add FastHTML Docs to Your AI Assistant Select your tool to see how to add FastHTML's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://fastht.ml/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about FastHTML Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 2 notes ## Frequently Asked Questions Where is FastHTML's llms.txt file? FastHTML publishes its llms.txt at https://fastht.ml/llms.txt. This file provides a structured, markdown-formatted index of FastHTML's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use FastHTML's llms.txt with AI coding assistants? 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 FastHTML's documentation so it can provide better code suggestions and answers about FastHTML. What does FastHTML's llms.txt contain? FastHTML's llms.txt contains 4 sections and 21 documentation links in 4.7 KB (~1.2k tokens). Key sections include Docs, API, Examples, Optional. How many tokens does FastHTML's llms.txt use? The concise llms.txt index is approximately 1.2k tokens (4.7 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. What is FastHTML? FastHTML is a python library which brings together Starlette, Uvicorn, HTMX, and fastcore's `FT` "FastTags" into a library for creating server-rendered hypermedia applications. The `FastHTML` class itself inherits from `Starlette`, and adds decorator-based routing with many additions, Beforeware, automatic `FT` to HTML rendering, and much more.. FastHTML'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 FastHTML. Can I generate an llms.txt for my own project? 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. 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llms.txt Validator

Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/fasthtml/tools/llms-txt/validator) © 2026 [Harlan Wilton](https://github.com/harlan-zw) · [MIT](https://github.com/harlan-zw/mdream/blob/main/license) [GitHub](https://github.com/harlan-zw/mdream) [Discord](https://discord.com/invite/275MBUBvgP)