docs: improve discoverability for AI agents and search crawlers

Several signals AI agents and search engines use to discover and
install a project were misaligned or missing:

* ``docs/app/layout.tsx`` set ``metadataBase`` to
  ``https://chopratejas.github.io/headroom/`` while the live docs run
  on Vercel — every page's ``og:url`` and ``twitter:url`` resolved to
  a URL that returns 404 for ``/llms.txt``. Now points at the live
  Vercel host (overridable via ``NEXT_PUBLIC_SITE_URL`` for a future
  custom domain). Adds explicit ``openGraph`` and ``twitter`` metadata
  so social shares render a card with the project's pitch.
* No ``llms.txt`` at the GitHub repo root. AI agents crawling
  ``github.com/chopratejas/headroom/`` saw only the README. The new
  ``llms.txt`` follows the llmstxt.org convention: 1-line pitch,
  canonical docs links, copy-paste install commands (pip / npm /
  Docker / proxy / ``headroom wrap``), and entry points for the
  library, proxy, MCP server, and SDK integrations. Points at the
  Fumadocs-generated ``/llms.txt`` and ``/llms-full.txt`` for the
  full picture.
* ``pyproject.toml`` ``Documentation`` URL pointed at the GitHub
  README anchor. Updated to point at the docs site so PyPI visitors
  land on searchable docs, and adds an ``AI / LLM Index`` URL
  pointing at the Fumadocs ``/llms.txt``.
* No explicit AI-bot allow list. Added ``docs/app/robots.ts`` (Next
  13+ App Router convention) with explicit allows for GPTBot,
  ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot,
  ChatGPT-User, Cohere-AI, CCBot, and Applebot-Extended. Wildcard
  allow as the catch-all. Advertises the sitemap.
* No ``sitemap.xml`` route. Added ``docs/app/sitemap.ts`` that pulls
  every Fumadocs page out of ``source`` (same source backing
  ``/llms.txt``, search, and OG images) so search and AI crawlers
  can enumerate doc pages without scraping HTML.
* README didn't tell AI agents where to look. Added a 2-line
  pointer near the top nav row: read ``/llms.txt`` here, or fetch
  the live index / full docs blob.

Also tightened the GitHub repo description and added five topics
(``claude-code``, ``cursor``, ``tokens``, ``prompt-engineering``,
``typescript``) via ``gh repo edit`` — that's already live on the
repo, not part of this commit.

No Python or Rust code changes; ``make ci-precheck`` was run to
confirm the test slice still passes.
This commit is contained in:
chopratejas 2026-05-13 17:36:06 -07:00
parent a8a1ba426e
commit c1d2eec588
6 changed files with 188 additions and 6 deletions

View file

@ -26,9 +26,14 @@
<a href="#get-started-60-seconds">Install</a> ·
<a href="#proof">Proof</a> ·
<a href="#agent-compatibility-matrix">Agents</a> ·
<a href="https://discord.gg/yRmaUNpsPJ">Discord</a>
<a href="https://discord.gg/yRmaUNpsPJ">Discord</a> ·
<a href="llms.txt">llms.txt</a>
</p>
<p align="center"><sub>
<b>AI agents / LLMs:</b> read <a href="llms.txt"><code>/llms.txt</code></a> here, or fetch <a href="https://headroom-docs.vercel.app/llms.txt">the live index</a> / <a href="https://headroom-docs.vercel.app/llms-full.txt">full docs blob</a>.
</sub></p>
---
> Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. Same answers, fraction of the tokens.

View file

@ -7,14 +7,39 @@ const inter = Inter({
subsets: ['latin'],
});
// Canonical URL for the live docs. ``metadataBase`` resolves the og:url
// and twitter:url for every page; pointing it at the actual live site
// is what lets crawlers (search + LLM) follow the right canonical and
// pick up ``/llms.txt`` / ``/sitemap.xml`` / og images. Override at
// build time via ``NEXT_PUBLIC_SITE_URL`` (e.g. when promoting to a
// custom domain).
const SITE_URL = process.env.NEXT_PUBLIC_SITE_URL ?? 'https://headroom-docs.vercel.app';
export const metadata: Metadata = {
title: {
default: 'Headroom',
default: 'Headroom — Context Optimization Layer for AI Agents',
template: '%s | Headroom',
},
description:
'Compress everything your AI agent reads. Same answers, fraction of the tokens.',
metadataBase: new URL('https://chopratejas.github.io/headroom/'),
'Compress everything your AI agent reads — tool outputs, logs, files, RAG chunks. Same answers, fraction of the tokens. Library, proxy, MCP server. Local-first. Apache 2.0.',
metadataBase: new URL(SITE_URL),
alternates: {
canonical: '/',
},
openGraph: {
type: 'website',
siteName: 'Headroom',
title: 'Headroom — Context Optimization Layer for AI Agents',
description:
'Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 6095% fewer tokens, same answers.',
url: '/',
},
twitter: {
card: 'summary_large_image',
title: 'Headroom — Context Optimization Layer for AI Agents',
description:
'Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 6095% fewer tokens, same answers.',
},
};
export default function Layout({ children }: LayoutProps<'/'>) {

42
docs/app/robots.ts Normal file
View file

@ -0,0 +1,42 @@
// Next.js App Router robots convention (Next 13+). The default Next
// behaviour allows everything; this file makes the intent explicit so
// AI-bot operators that read an opt-in list (GPTBot, ClaudeBot,
// PerplexityBot, Google-Extended, etc.) see a clear green light, and
// so the sitemap is discoverable.
//
// Headroom docs are open-source documentation we WANT indexed. If a
// future page should be excluded, add it to the ``disallow`` list of
// the relevant rule.
import type { MetadataRoute } from 'next';
const SITE_URL = process.env.NEXT_PUBLIC_SITE_URL ?? 'https://headroom-docs.vercel.app';
export default function robots(): MetadataRoute.Robots {
return {
rules: [
// Bot-specific allows. These names are the literal user-agent
// strings each operator publishes. Listing them explicitly is
// the documented way to opt INTO AI-training / AI-search
// indexing — silence (no rule) is treated as opt-out by some
// operators (notably Google-Extended).
{ userAgent: 'GPTBot', allow: '/' },
{ userAgent: 'OAI-SearchBot', allow: '/' },
{ userAgent: 'ChatGPT-User', allow: '/' },
{ userAgent: 'ClaudeBot', allow: '/' },
{ userAgent: 'Claude-Web', allow: '/' },
{ userAgent: 'anthropic-ai', allow: '/' },
{ userAgent: 'PerplexityBot', allow: '/' },
{ userAgent: 'Perplexity-User', allow: '/' },
{ userAgent: 'Google-Extended', allow: '/' },
{ userAgent: 'cohere-ai', allow: '/' },
{ userAgent: 'CCBot', allow: '/' },
{ userAgent: 'Applebot-Extended', allow: '/' },
// Catch-all so traditional search crawlers also see an
// explicit allow.
{ userAgent: '*', allow: '/' },
],
sitemap: `${SITE_URL}/sitemap.xml`,
host: SITE_URL,
};
}

39
docs/app/sitemap.ts Normal file
View file

@ -0,0 +1,39 @@
// Next.js App Router sitemap convention (Next 13+). Pulls every page
// out of the Fumadocs ``source`` (same source that backs ``/llms.txt``,
// search, and the OG image generator) and emits a valid sitemap.xml.
//
// Search engines and AI crawlers use this to enumerate every doc page
// without scraping HTML. The ``robots.ts`` route advertises the
// sitemap URL so well-behaved crawlers find it on the first GET.
import type { MetadataRoute } from 'next';
import { source } from '@/lib/source';
const SITE_URL = process.env.NEXT_PUBLIC_SITE_URL ?? 'https://headroom-docs.vercel.app';
export default function sitemap(): MetadataRoute.Sitemap {
const now = new Date();
// Static top-level routes (home page; docs index is covered by the
// page enumeration below).
const staticRoutes: MetadataRoute.Sitemap = [
{
url: `${SITE_URL}/`,
lastModified: now,
changeFrequency: 'weekly',
priority: 1.0,
},
];
// Every Fumadocs page (introduction, quickstart, installation,
// integrations, …). ``page.url`` is the relative URL like
// ``/docs/quickstart``; ``page.data`` carries the front-matter.
const docPages: MetadataRoute.Sitemap = source.getPages().map((page) => ({
url: `${SITE_URL}${page.url}`,
lastModified: now,
changeFrequency: 'weekly' as const,
priority: 0.8,
}));
return [...staticRoutes, ...docPages];
}

67
llms.txt Normal file
View file

@ -0,0 +1,67 @@
# Headroom
> Context optimization layer for LLM applications. Compress tool outputs, logs, files, and RAG chunks before they reach the model. Same answers, 6095% fewer tokens. Library, proxy, and MCP server. Apache 2.0, local-first.
Headroom is shipped as a Python package (`headroom-ai`), a TypeScript package (`headroom-ai`), an OpenAI + Anthropic-compatible HTTP proxy (`headroom proxy`), and an MCP server (`headroom_compress`, `headroom_retrieve`, `headroom_stats` tools). All four modes use the same compression pipeline: per-content-type compressors (JSON, code, logs, diffs, text) feed into a Compress-Cache-Retrieve (CCR) store so compression stays reversible — the LLM can ask for the original whenever it wants.
The canonical, always-current documentation index lives at the docs site below. If you can fetch one URL, fetch that one; the entries here are a hand-curated subset.
## Canonical docs (start here)
- [Live llms.txt (full doc index)](https://headroom-docs.vercel.app/llms.txt): Auto-generated index of every doc page with descriptions.
- [Live llms-full.txt (every doc page concatenated)](https://headroom-docs.vercel.app/llms-full.txt): One Markdown blob containing every doc page. Use when you can spend the tokens for full context.
- [Docs site](https://headroom-docs.vercel.app/docs): Human-browsable docs with search.
- [GitHub repo](https://github.com/chopratejas/headroom): Source, issues, releases.
- [PyPI package](https://pypi.org/project/headroom-ai/): Python install.
- [npm package](https://www.npmjs.com/package/headroom-ai): TypeScript install.
## Install (copy-paste-runnable)
- Python: `pip install headroom-ai` (add `[all]` for every optional extra)
- TypeScript / Node: `npm install headroom-ai` (or `pnpm add headroom-ai`, `bun add headroom-ai`)
- Docker: `docker run -p 8787:8787 ghcr.io/chopratejas/headroom:latest`
- Run the proxy: `headroom proxy --port 8787` then point any client at `http://127.0.0.1:8787`
- Wrap an agent in one command: `headroom wrap claude` (also: `codex`, `cursor`, `aider`, `copilot`, `gemini`)
## Entry points
- [Quickstart](https://headroom-docs.vercel.app/docs/quickstart): 5-minute end-to-end (install → compress → call the model).
- [Installation](https://headroom-docs.vercel.app/docs/installation): All install paths, extras, Docker tags, env vars.
- [Proxy server](https://headroom-docs.vercel.app/docs/proxy): Run as a local HTTP proxy in front of OpenAI / Anthropic / Gemini.
- [MCP server](https://headroom-docs.vercel.app/docs/mcp): `headroom_compress`, `headroom_retrieve`, `headroom_stats` for Claude Code / Cursor / any MCP host.
- [API reference](https://headroom-docs.vercel.app/docs/api-reference): Python + TypeScript `compress()` API.
## How it works
- [How compression works](https://headroom-docs.vercel.app/docs/how-compression-works): Three-stage pipeline + automatic content routing.
- [SmartCrusher](https://headroom-docs.vercel.app/docs/smart-crusher): Statistical JSON / array compression (7090% on tool outputs).
- [Code compression](https://headroom-docs.vercel.app/docs/code-compression): AST-aware via tree-sitter (preserves imports, signatures, types).
- [Text & log compression](https://headroom-docs.vercel.app/docs/text-and-logs): Search results, build logs, diffs.
- [CCR (reversible)](https://headroom-docs.vercel.app/docs/ccr): Compress-Cache-Retrieve — originals never deleted; LLM retrieves on demand.
## SDK / framework integrations
- [Anthropic SDK](https://headroom-docs.vercel.app/docs/anthropic-sdk): `withHeadroom(anthropic)` wrapper.
- [OpenAI SDK](https://headroom-docs.vercel.app/docs/openai-sdk): `withHeadroom(openai)` wrapper.
- [Vercel AI SDK](https://headroom-docs.vercel.app/docs/vercel-ai-sdk): Middleware + `withHeadroom()`.
- [LangChain](https://headroom-docs.vercel.app/docs/langchain): Chat models, memory, retrievers, agents.
- [Agno](https://headroom-docs.vercel.app/docs/agno): Model wrapping + observability hooks.
- [Strands](https://headroom-docs.vercel.app/docs/strands): Model wrapping + hook-based tool output compression.
- [LiteLLM](https://headroom-docs.vercel.app/docs/litellm): Single callback; works with all 100+ LiteLLM providers.
## Memory & cross-agent state
- [Persistent memory](https://headroom-docs.vercel.app/docs/memory): Per-project SQLite + HNSW vector store. No cross-project bleed (GH #462).
- [SharedContext](https://headroom-docs.vercel.app/docs/shared-context): Compressed inter-agent context handoffs.
- [Failure learning](https://headroom-docs.vercel.app/docs/failure-learning): Offline analysis writes corrections to `CLAUDE.md` / `AGENTS.md`.
## Operations
- [Configuration](https://headroom-docs.vercel.app/docs/configuration): Env vars, config file, per-call overrides.
- [Benchmarks](https://headroom-docs.vercel.app/docs/benchmarks): Token-savings numbers across content types.
- [Troubleshooting](https://headroom-docs.vercel.app/docs/troubleshooting): Common failure modes and fixes.
- [Limitations](https://headroom-docs.vercel.app/docs/limitations): What Headroom won't do well today.
## Licensing
Apache 2.0. Use commercially, modify, redistribute. Data stays on the user's machine when running the library, proxy, or MCP server locally. No telemetry by default.

View file

@ -230,11 +230,15 @@ all = [
headroom = "headroom.cli:main"
[project.urls]
Homepage = "https://github.com/chopratejas/headroom"
Documentation = "https://github.com/chopratejas/headroom#readme"
Homepage = "https://headroom-docs.vercel.app"
Documentation = "https://headroom-docs.vercel.app/docs"
Repository = "https://github.com/chopratejas/headroom"
Issues = "https://github.com/chopratejas/headroom/issues"
Changelog = "https://github.com/chopratejas/headroom/blob/main/CHANGELOG.md"
# llms.txt convention (llmstxt.org) — point AI agents / LLM crawlers
# at the auto-generated docs index so they can resolve install paths
# and entry points without a follow-up fetch.
"AI / LLM Index" = "https://headroom-docs.vercel.app/llms.txt"
# Maturin builds a single wheel containing both the Python source under
# `headroom/` AND the compiled Rust extension `headroom/_core.so` (cdylib