llms.txt Generator & Validator

Create and validate llms.txt files to help LLMs understand your project documentation.

What is llms.txt?

It's a proposed standard file (like robots.txt) that provides a clean, markdown-formatted index of your project's documentation specifically for LLMs.

By placing this file at the root of your site (e.g., example.com/llms.txt), you help AI coding assistants understand your library or framework better.

View DevToolVault's llms.txt →

Format Specification

1. Header: Project name (H1)

2. Blockquote: Brief summary

3. Section: ## Documentation

4. List: Links to key docs

Free llms.txt Generator - Make Your Docs AI-Friendly

Welcome to DevToolVault's free llms.txt generator and validator, the essential tool for making your project documentation AI-accessible. Create a standardized index file that helps AI coding assistants like GitHub Copilot, Cursor, and Claude understand your library—improving AI-generated code suggestions for your users.

What is the llms.txt Standard?

llms.txt is an emerging web standard—similar to robots.txt for search engines—that provides a structured, Markdown-formatted index of your project documentation specifically for Large Language Models. By placing this file at your site's root, you give AI tools a curated map of your documentation, enabling better code completion and assistance for developers using your library.

Why Your Project Needs llms.txt

AI coding assistants increasingly reference documentation to provide accurate suggestions. Without guidance, LLMs may reference outdated information or miss key API changes. llms.txt points AI tools to your canonical, up-to-date documentation—improving the developer experience for everyone using your project with AI assistance.

llms.txt File Structure

# Project Name

> Brief description of what the project does

## Documentation

- [Getting Started](https://docs.example.com/start): Quick setup guide
- [API Reference](https://docs.example.com/api): Complete API docs
- [Examples](https://docs.example.com/examples): Code samples
- [FAQ](https://docs.example.com/faq): Common questions

How to Use This Tool

Use the Generator tab to create your llms.txt: enter your project name and summary, add documentation links with titles and optional descriptions, then click "Generate File". Use the Validator tab to check existing llms.txt files for format compliance. Copy the generated content and save it as llms.txt at your website root.

Best Practices for llms.txt

Keep your llms.txt focused and current: include only your most important, actively-maintained documentation. Link to getting started guides, API references, tutorials, and examples. Avoid linking to generated API docs that may be too verbose—prefer human-written guides. Update when major features or documentation changes occur.

Frequently Asked Questions

What is llms.txt and why should I use it?

llms.txt is a proposed web standard (like robots.txt) that provides a structured index of your project documentation specifically for LLMs. It helps AI coding assistants like GitHub Copilot, Cursor, and ChatGPT better understand your library or framework.

Where should I place my llms.txt file?

Place llms.txt at your website's root (e.g., example.com/llms.txt) or your repository root. LLMs and coding assistants check this location when users reference your project, similar to how search engines check robots.txt.

What is the correct format for llms.txt?

llms.txt uses Markdown with specific conventions: H1 header for project name, blockquote for summary, H2 sections for categories (## Documentation), and bulleted links in format "- [Title](url): Description". Our tool generates this format automatically.

How does llms.txt differ from README.md?

While README.md is designed for human readers with context, llms.txt is optimized for LLM consumption—concise, link-focused, and structured for efficient parsing. It serves as a curated index pointing to your detailed documentation.

Which AI tools support llms.txt?

The llms.txt standard is gaining adoption across AI coding assistants. Tools like Cursor, GitHub Copilot, and AI-powered documentation readers are beginning to look for this file to better understand project context.

Can I include multiple documentation sections?

Yes! You can have multiple H2 sections like ## Getting Started, ## API Reference, ## Examples, ## Tutorials. Each section can contain relevant links. Keep it focused on the most important documentation.

How often should I update my llms.txt?

Update llms.txt when you add new major documentation, deprecate features, or reorganize your docs structure. It doesn't need to be comprehensive—focus on the most important, up-to-date resources.

Is my content secure when generating llms.txt?

Yes! Our generator works entirely in your browser. Your project information, documentation links, and descriptions never leave your device—no server uploads, no logs, no tracking.

Live Example: View our production llms.txt file at /llms.txt to see this standard in action.

Related AI Tools: Try our AI Token Counter, Robots.txt Generator, and Meta Tag Generator for more SEO and AI documentation tools.