FastHTML llms.txt

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.

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.

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.

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.

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.

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.