Using AI Agents with Printago Docs
These docs ship a few machine-readable artifacts so an AI agent (Claude, ChatGPT, a custom LangChain/OpenAI tool-use loop, etc.) can understand the product and navigate the documentation efficiently instead of crawling page-by-page.
What's Available
| File | URL | What it's for |
|---|---|---|
llms.txt | docs.printago.io/llms.txt | Single-fetch index of every doc page with a one-line description, following the llms.txt convention. Start here. |
docs_map.md | docs.printago.io/docs_map.md | Hierarchical map of every page with all its section headings. Fetch this when the agent needs to decide which pages to read. |
sitemap.xml | docs.printago.io/sitemap.xml | Standard sitemap listing every page URL. |
| OpenAPI spec | docs.printago.io/printago-api-swagger.json | OpenAPI 3.1 spec for the REST API. Feed this to an agent that needs to call Printago endpoints. |
| Developers site | developers.printago.io | Interactive API reference and guides. |
All of these are plain text or JSON, live at stable URLs, and are regenerated whenever the docs are rebuilt.
Pointing an AI Agent at the Docs
If you're using an AI coding agent to build on top of Printago, paste a few lines like this into your prompt so it knows where to look:
For Printago product documentation, fetch https://docs.printago.io/llms.txt first.
Follow up with https://docs.printago.io/docs_map.md or specific pages from
https://docs.printago.io/docs/* as needed.
For the Printago REST API, fetch the developer AI resources at
https://developers.printago.io/llms.txt, or the full OpenAPI spec at
https://docs.printago.io/printago-api-swagger.json.
Any agent with a web-fetch tool can use these files directly: give it the llms.txt URLs as a starting point and let it pull in whichever pages it needs.
If you reference the docs frequently, add the same lines to your project's agent instructions file instead so you don't have to repeat them. Most tools read an AGENTS.md file in your repo; Claude Code reads CLAUDE.md instead.
Feedback
If you're building something on top of Printago and want different discovery formats (e.g. llms-full.txt with the entire corpus inlined, per-section indexes, embeddings), let us know in Discord.