Make your Wagtail site AI-ready. llms.txt, Markdown page variants and structured data in one install.
Project description
wagtail-machine-readable
Make your Wagtail site AI-ready. llms.txt, Markdown page variants and structured data in one install.
LLMs, answer engines and AI crawlers are becoming the front door to your
content — and they read llms.txt, not your carefully
tuned templates. wagtail-machine-readable turns your existing Wagtail page
tree into spec-compliant machine-readable outputs automatically: live pages
only, privacy restrictions respected, every Site in a multi-site install
served on its own hostname. Install it, add two lines, and /llms.txt works.
What you get
/llms.txt— a spec-compliant index of your site: H1 site name, blockquote description, H2 sections derived from your top-level pages, with- [name](url): descriptionlink lists./llms-full.txt— the same page set with page content rendered to Markdown..mdpage variants — every visible page served as Markdown on its own URL (/about/team.md,/index.mdfor the site root).- StreamField→Markdown extraction — headings, links, images (alt text
- URL), embeds and tables survive extraction instead of being stripped.
- JSON-LD structured data — schema.org
WebPage/Article,OrganizationandBreadcrumbListper page via a template tag, with a per-page-type builder mapping. - AI crawler robots.txt — opt-in allow/deny controls for known AI user agents (GPTBot, ClaudeBot, PerplexityBot, …) managed from settings.
- Static export — a management command that writes every output to disk for static hosting and CDN workflows.
- Wagtail-native visibility rules — only
livepages, view-restricted (private) subtrees excluded, drafts excluded, multi-site aware, plus per-model and per-page opt-outs.
Quickstart (60 seconds)
pip install wagtail-machine-readable
# settings.py
INSTALLED_APPS = [
# …
"wagtail_machine_readable",
]
# urls.py — before Wagtail's catch-all page serving include
urlpatterns = [
# …
path("", include("wagtail_machine_readable.urls")),
path("", include(wagtail_urls)),
]
That's it. Zero configuration produces a valid llms.txt:
# Acme
> Acme makes modular widgets.
## Pages
- [Contact](https://example.com/contact/): Get in touch.
## About
- [About](https://example.com/about/): Who we are.
- [Team](https://example.com/about/team/): The people.
## Blog
- [Blog](https://example.com/blog/): News and articles.
- [First post](https://example.com/blog/first-post/): Our first post.
- [Second post](https://example.com/blog/second-post/)
Sections come from the children of each Site's root page; descriptions come
from search_description by default. Every Wagtail Site gets its own
document on its own hostname.
Markdown page variants
Every visible page is also served as Markdown by appending .md to its
slug path — /about/team/ becomes /about/team.md, and the site root is
/index.md. Responses use text/markdown and the same visibility rules as
llms.txt, so drafts and private pages 404. Set MARKDOWN_ENABLED to
False to turn the variants off.
Bodies are produced by MarkdownContentExtractor, which maps rich text
and StreamField blocks to Markdown — headings (demoted below the page
title), [text](url) links with rich-text page references expanded,
 images, embeds and URL blocks as autolinks, and
TableBlock values as Markdown tables.
Structured data (JSON-LD)
Add the template tag to your page template:
{% load machine_readable %}
{% structured_data page %}
This renders a <script type="application/ld+json"> element containing a
schema.org @graph: the page node (WebPage by default), a
BreadcrumbList from the page's ancestors and an Organization derived
from the Wagtail Site. Map page types to other builders — Article ships
ready to use — or your own StructuredDataBuilder subclasses:
WAGTAIL_MACHINE_READABLE = {
"STRUCTURED_DATA_BUILDERS": {
"blog.BlogPage": "wagtail_machine_readable.structured_data.ArticleBuilder",
},
}
Mappings match base classes too, so "wagtailcore.Page" changes the
default for every page type.
AI crawler robots.txt
Opt in to serving /robots.txt with explicit rules for known AI user
agents:
WAGTAIL_MACHINE_READABLE = {
"ROBOTS_TXT_ENABLED": True,
"ROBOTS_AI_DEFAULT": "allow", # baseline for known AI agents
"ROBOTS_AI_DENY": ["Bytespider"], # per-agent overrides
"ROBOTS_EXTRA": "Sitemap: https://example.com/sitemap.xml",
}
The built-in list covers GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot,
Claude-User, Claude-SearchBot, PerplexityBot, Google-Extended, CCBot,
Meta-ExternalAgent and friends; the allow/deny lists also accept agents
not on the list. Other crawlers get User-agent: * / Allow: /. If your
project already serves robots.txt, keep its URL pattern above the package
include.
Static generation
python manage.py generate_machine_readable --output ./static-export
python manage.py generate_machine_readable --site example.com
Single-site projects write llms.txt, llms-full.txt, the .md page
tree (index.md, about/team.md, …) and — when enabled — robots.txt
into the output directory; multi-site projects get one subdirectory per
hostname.
Caching
Responses carry Cache-Control: public, max-age=3600 by default
(CACHE_MAX_AGE). For sites where generation itself is expensive, opt in
to caching the generated documents server-side:
WAGTAIL_MACHINE_READABLE = {
"GENERATION_CACHE_TIMEOUT": 86400,
}
Rendered documents are stored in Django's default cache and invalidated when a page is published or unpublished, so a long timeout is safe.
Settings
All configuration lives in a single dict. Every key has a working default — configure only what you want to change:
WAGTAIL_MACHINE_READABLE = {
"SITE_DESCRIPTION": "Acme makes modular widgets.",
"MAX_PAGES_PER_SECTION": 25,
"EXCLUDE_PAGE_MODELS": ["blog.BlogTagIndexPage"],
}
| Key | Default | Purpose |
|---|---|---|
SITE_DESCRIPTION |
None |
Blockquote description. A string, or a {hostname: description} dict for multi-site. Falls back to the root page's description chain. |
SECTION_STRATEGY |
TopLevelSectionStrategy path |
Dotted path to the class deriving H2 sections from the page tree. |
MAX_PAGES_PER_SECTION |
50 |
Cap entries per section (None = unlimited). |
RESPECT_SHOW_IN_MENUS |
False |
Only include pages with show_in_menus=True. |
EXCLUDE_PAGE_MODELS |
[] |
Page models to exclude, as "app_label.ModelName" strings (exact type). |
EXCLUDE_PAGE_IDS |
[] |
Specific page ids to exclude. |
DESCRIPTION_FIELDS |
["machine_readable_description", "search_description"] |
Per-page description fallback chain; first non-empty field wins. |
FULL_TEXT_ENABLED |
True |
Serve/write llms-full.txt. |
FULL_TEXT_MAX_PAGES |
None |
Cap the number of pages in llms-full.txt (None = unlimited). |
MARKDOWN_ENABLED |
True |
Serve/write .md page variants. |
EXTRACTOR |
MarkdownContentExtractor path |
Dotted path to the ContentExtractor used for page bodies. |
CACHE_MAX_AGE |
3600 |
Cache-Control: public, max-age=N on responses (0 = no header). |
GENERATION_CACHE_TIMEOUT |
None |
Opt-in server-side caching of generated documents, in seconds. |
STRUCTURED_DATA_BUILDERS |
{} |
Map "app_label.ModelName" to StructuredDataBuilder dotted paths. |
ROBOTS_TXT_ENABLED |
False |
Serve/write robots.txt from this package. |
ROBOTS_AI_DEFAULT |
"allow" |
Baseline policy ("allow"/"deny") for known AI user agents. |
ROBOTS_AI_ALLOW |
[] |
Agents to explicitly allow, overriding the baseline. |
ROBOTS_AI_DENY |
[] |
Agents to explicitly deny, overriding the baseline. |
ROBOTS_EXTRA |
"" |
Raw text appended to robots.txt (e.g. a Sitemap: line). |
Misconfigured keys are caught by Django system checks at startup.
Customisation
Exclude a page type — no mixin or migration needed:
class InternalToolPage(Page):
exclude_from_machine_readable = True
Per-page editor controls — adopt the optional mixin for a dedicated
AI-consumer description and a per-page exclusion flag, surfaced in the
page editor by MachineReadablePanel:
from wagtail_machine_readable.models import MachineReadableMixin
from wagtail_machine_readable.panels import MachineReadablePanel
class ArticlePage(MachineReadableMixin, Page):
promote_panels = Page.promote_panels + [MachineReadablePanel()]
The mixin adds fields to your page model, so run
python manage.py makemigrations && python manage.py migrate after
adopting it (and after upgrading from a version with fewer mixin
fields). Until the migration is applied, any query against the page
model — including the pages themselves — fails with a missing-column
error.
Custom sections — subclass SectionStrategy and point
SECTION_STRATEGY at it:
from wagtail_machine_readable.generators import SectionStrategy
class NavigationSections(SectionStrategy):
def build_sections(self, site):
...
Custom content extraction — subclass ContentExtractor (or
MarkdownContentExtractor, whose block handling and convert_html hook
are overridable) and point EXTRACTOR at it. Set EXTRACTOR to
"wagtail_machine_readable.extractors.DefaultContentExtractor" for the
plain-text behaviour of v0.1.
Custom structured data — subclass StructuredDataBuilder (or
WebPageBuilder/ArticleBuilder) and map page types to it via
STRUCTURED_DATA_BUILDERS.
How it behaves
- Visibility: a page appears only if it is live, has no view restriction on itself or an ancestor, and is not excluded by settings, the class attribute or the per-page flag. The private/draft rules match what anonymous visitors can already see — nothing non-public leaks.
- Multi-site:
Site.find_for_request()scopes every request, so each hostname serves its own tree with absolute URLs. - Caching: responses carry
Cache-Control: public, max-age=3600by default. The views arecache_page-compatible (cache keys include the host), so wrapping them or enabling Django's cache middleware works per site out of the box. Server-side generation caching is opt-in viaGENERATION_CACHE_TIMEOUT, invalidated on publish/unpublish. - Output safety: titles and descriptions are collapsed to single lines
and escaped, so page content cannot inject sections or links into the
document structure. JSON-LD payloads escape
<,>and&, so page content cannot break out of the script element.
How is this different from django-llms-txt?
django-llms-txt is Django-generic: you describe your content to it.
wagtail-machine-readable is Wagtail-native: it already understands the
page tree (sections for free), live/privacy rules, multi-site scoping,
search_description, and StreamField content. Point it at a Wagtail
project and it produces the right documents with zero configuration.
Roadmap
v0.2 (Markdown page variants) and v0.3 (structured data and crawler controls) have shipped. See ROADMAP.md for what's next.
Compatibility
Python 3.11–3.13 · Django 4.2/5.2 · Wagtail 6.3–7.x. The full matrix is tested in CI.
Contributing
git clone https://github.com/brett-allard-amp/wagtail-machine-readable.git
cd wagtail-machine-readable
python -m venv .venv && source .venv/bin/activate
pip install -e . --group dev
pre-commit install
pytest
Run the full matrix with tox. Bug reports, spec-compliance issues and
extractor improvements are all welcome — please include a failing test
where possible.
License
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