LLM documentation • tldraw Docs

The tldraw docs are optimized for use with large language models (LLMs). Whether you're using an AI coding assistant, building an agent that works with tldraw, or prompting a chat model, you can access our documentation in formats designed for LLM consumption.

llms.txt

We publish our documentation at tldraw.dev/llms.txt, following the llms.txt standard for providing LLM-friendly content. This file serves as an index to all SDK documentation, examples, and release notes.

The index includes links to several focused exports:

File	Contents
llms.txt	Index with links to all resources
llms-full.txt	All SDK docs, releases, and examples
llms-docs.txt	SDK feature documentation only
llms-releases.txt	Release notes only
llms-examples.txt	Examples with full source code

Using llms.txt with AI assistants

When working with an AI coding assistant, you can provide context by including the relevant llms.txt file in your prompt or conversation. For example:

Use llms-docs.txt when asking about SDK features, APIs, or implementation patterns
Use llms-examples.txt when looking for code examples or implementation references
Use llms-releases.txt when asking about recent changes or migration between versions
Use llms-full.txt when you need comprehensive context across all documentation

Many AI tools support fetching URLs directly, so you can reference these files by URL in your prompts.

Copy markdown button

Every documentation page on tldraw.dev includes a "Copy markdown" button in the header. Click it to copy the page content as clean markdown, ready to paste into any LLM conversation.

This is useful when you want to:

Ask an AI assistant about a specific feature
Include documentation context in a prompt
Reference our docs in your own documentation or notes

The copied markdown preserves headings, code blocks, links, and other formatting while removing site-specific elements that aren't relevant in a plain text context.

Building AI-powered apps

If you're building AI-powered applications with tldraw, see our AI integrations guide. It covers patterns for using the canvas with AI models, including:

Using the canvas to display AI-generated content
Building visual workflows with AI nodes
Creating AI agents that can read and manipulate the canvas