Point an agent at llms.txt

Point an agent at this site's auto-generated llms.txt, llms-full.txt, and per-page llms.mdx instead of scraping rendered HTML — it reads clean Markdown with no markup and no token waste, whether it grabs the whole corpus at once or pulls just the page it needs.

Example

Fetch the index to discover structure, then pull a single page as Markdown:

# The curated index of every docs page, one line per page.
curl https://stitchapi.dev/llms.txt

# The clean Markdown form of one page — just this feature, into context.
curl https://stitchapi.dev/llms.mdx/docs/agents/run-stitch-tool/content.md

# When the agent needs everything at once, the whole docs concatenated.
curl https://stitchapi.dev/llms-full.txt

Each page already stands on its own — restating its premise rather than leaning on neighbors — so the Markdown the agent pulls reads correctly in isolation. The stitch it documents is the same one-source-of-truth definition the runtime uses.

Default: load the whole corpus

The simplest workflow is also the cheapest correct one: fetch /llms-full.txt once and drop the entire docs into context. The whole corpus fits inside a modern large-context model — Claude's 200k window, for instance — so there is nothing to gain from retrieval: no search index to build, no vector store to host, no embeddings to keep in sync. The agent reads exactly the Markdown a human does, generated from the same source, so it never drifts.

Reach for the frugal path — the per-page llms.mdx above, or a dedicated docs-search tool — only when one of two things becomes true: the corpus outgrows the model's context window, or loading it on every turn costs more than a targeted lookup is worth. Until then, llms-full.txt wholesale is the default.

Options

The site emits three machine-readable outputs automatically; you never hand-author them.

/llms.txt opens with a curated StitchAPI header — the one-line premise, the signals an agent needs, and a runnable quickstart — and then the curated index, one line per page, title plus description, so an agent grasps what StitchAPI is before it maps the docs structure or pulls anything.

A page's llms.mdx variant is the same page as clean Markdown, with rendered chrome stripped. Because guides are fine-grained — one page per feature — an agent pulls exactly one feature's page into context (say, just run_stitch) rather than the whole manual. That fine-grained, self-contained-pages design is what makes each llms.mdx a focused, extractable unit.

/llms-full.txt is every page concatenated, for when an agent genuinely needs the entire corpus in one fetch.

See also