Wagtail CLI
🚧 This is a prototype. Feedback very welcome! See CMS with AI, not AI CMS: Wagtail 8.0's new API and Prototyping a new CLI for Wagtail for context.
Speed up and automate Wagtail operations with the command line. Key features:
- v3 write API client. 50+ CMS admin operations available from the terminal. To help manage local development and live sites. Manage pages, images, documents, snippets, sites, locales, redirects, and more.
- Read and search Wagtail docs as Markdown.
- Scaffold new Django/Wagtail projects.
Installation
Install wagtail-cli from PyPI with your preferred package manager, then use the wt CLI. Example with uv:
# Permanent install:
uv tool install wagtail-cli
# One-off usage:
uvx --from wagtail-cli wt
Quick start
export WAGTAIL_CLI_BASE_URL="https://cms.example.com/api/v3/"
export WAGTAIL_CLI_TOKEN="your-api-token"
wt api whoami # verify authentication
wt api pages list # browse pages
wt api schema list # discover page types
Reading the Wagtail docs needs no configuration at all:
wt docs releases/8.0 # release notes, as Markdown
wt docs api # index of v3 API operations
wt docs search picture # search the docs
Create and publish a blog page from a Markdown file:
wt api pages create blog.BlogPage --parent /blog/ \
--title "Hello world" --field body:@post.md --publish
Rich-text fields accept Markdown via a .md file reference: the value is sent
to the API as {"format": "db_markdown", "content": …}.
Command surface
wt api— the whole v3 API as commands:pages,images,documents,snippets,sites,locales,redirects,schema, pluswt api initandwt api whoami.wt docs— docs.wagtail.org as Markdown: release notes, the v3 API reference, and search.wt start— scaffold a new Django/Wagtail project (mirrorswagtail start/django-admin startproject, with a custom base page model as the default).- Delegation — any other
wt <command>is forwarded to./manage.py(if present) ordjango-admin(whenDJANGO_SETTINGS_MODULEis set), sowtalso fronts Django commands likewt runserverandwt makemigrations. wt --version/wt --help— enhanced with detected Wagtail/Django versions and./manage.py --helpwhen available.
Documentation
- Getting started — end-to-end walkthrough against the demo site.
- Command reference — every command and flag.
- Configuration — config cascade, dotfiles, environment variables.
- Agent skills — the machine-readable skill published for AI agents.
Contributing
See the development guide for details.
Metadata
Release files for wagtail-cli 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| wagtail_cli-0.3.0.tar.gz | 35.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wagtail_cli-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 86.8 kB
Release files / wagtail_cli-0.3.0.tar.gz
| Download URL | wagtail_cli-0.3.0.tar.gz |
|---|---|
| Size | 35.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / wagtail_cli-0.3.0-py3-none-any.whl
| Download URL | wagtail_cli-0.3.0-py3-none-any.whl |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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