Use these docs with your agent

Live

You probably ask your coding assistant before you open a docs site. These docs are published in the llms.txt convention so an assistant can read them directly and write correct, governed code — the base URL with no /v1, the client_id / client_secret header pair, the typed refusal taxonomy — instead of guessing.

What’s published

Three machine-readable artifacts are generated from these pages on every docs build, so they never drift from what you see here:

Artifact	What it is	URL
`llms.txt`	A curated index — one link per page, grouped by section. Best when your tool ingests a doc index and fetches pages on demand.	`/llms.txt`
`llms-full.txt`	Every page inlined into one file. Best for pasting straight into an assistant — no fetching required.	`/llms-full.txt`
Per-page `.md`	The raw markdown for any page, served next to its HTML. Append `.md` to any page URL.	e.g. `/quickstart.md`

The site is served under a project sub-path today (/donkey-development-kit), so the files live at https://donkey-development-kit.github.io/donkey-development-kit/llms.txt rather than a bare domain-root /llms.txt. Use the full URLs above.

Point your assistant at them

Claude Code

Ask Claude Code to read the full docs, then build:


Read https://donkey-development-kit.github.io/donkey-development-kit/llms-full.txt,
then write a governed LangGraph model call using the donkey-kit SDK.

Cursor

In Cursor, add the docs as a source (Settings → Features → Docs → Add) with the index URL, then @Docs it in chat:


https://donkey-development-kit.github.io/donkey-development-kit/llms.txt

Paste it in

For any assistant, paste the contents of llms-full.txt into the conversation, then ask your question. Because every page is inlined, the assistant has the full context without following links:


<paste the contents of
 https://donkey-development-kit.github.io/donkey-development-kit/llms-full.txt>

Now write a governed OpenAI Agents SDK setup that handles a TokenBudgetExceeded
refusal.

Fetch the index

If your tool follows a doc index, give it llms.txt. Each entry links to the page’s .md, so the tool fetches only the pages it needs:


https://donkey-development-kit.github.io/donkey-development-kit/llms.txt

These docs cover both live capabilities and ones on the Roadmap. Roadmap pages show the planned API, which is not callable yet. When you ask an assistant to write code, tell it to use only capabilities marked Live, and review generated code before running it against a real gateway.