What is llms.txt
llms.txt is an open standard created by llmstxt.org so that websites and APIs can expose a structured text file that language models can consume efficiently. It works like a robots.txt, but for LLMs: instead of saying what not to index, it says what is worth reading.
The Timely.ai file contains:
- A description of all REST endpoints (method, path, parameters, examples)
- Webhook event types and payload structure
- Authentication and rate limiting rules
- Glossary of platform concepts (agents, channels, workspaces, etc.)
Where to find it
The file is available at the root of the documentation:How to download
Use cases
Cursor — @Docs
Cursor — @Docs
When you add
https://docs.timelyai.com.br as Docs in Cursor, the editor indexes the llms.txt automatically and makes it available via @Timely.ai. You don’t need to download the file manually.Claude Code — CLAUDE.md
Claude Code — CLAUDE.md
Add a reference to the file in your Then download the file once with
CLAUDE.md so that Claude Code loads the context every time it starts a session in the project:curl and commit it to the repository, or configure a pre-session script to fetch the latest version.MCP Sessions
MCP Sessions
In MCP servers that support context injection via local file, point to
timely-llms.txt as the source document. The server injects the content into the system prompt before each model call.Continue.dev — @docs
Continue.dev — @docs
Configure Continue.dev to index
https://docs.timelyai.com.br as a context provider. It will read the llms.txt and the linked pages to build the semantic search index.How the file is generated and updated
Thellms.txt is generated automatically by the documentation build pipeline. Every time an .mdx page is modified and deployed, the file is regenerated and published at the same URL.
To ensure you have the latest version in long-running projects, add a script to your workflow:
The file contains no sensitive information — only public documentation. It is safe to commit it to your repository.