wagtail-ai

Wagtail AI

Get help with your content using AI superpowers.

License: MIT PyPI version ai CI

Wagtail AI integrates Wagtail with AI's APIs (think ChatGPT) to help you write and correct your content.

Right now, it can:

  • Give you suggestions for titles and meta descriptions based on your page content
  • Suggest titles and descriptions for your images
  • Generate relevant alt text for your images based on both the image and surrounding page content
  • Provide qualitative feedback on your content with actionable improvement suggestions
  • Suggest related pages based on semantic similarity using vector embeddings
  • Work with multiple LLM providers including local models, OpenAI, Mistral, Claude and many others
  • Let you add your own custom prompts
  • Correct your spelling/grammar
  • Finish what you've started - write some text and tell Wagtail AI to finish it off for you

Demos

Page title and meta description suggestions

https://github.com/user-attachments/assets/4fcd543f-50fd-4687-b6ba-0715338bb92a

Image title, description, and contextual alt text suggestions

https://github.com/user-attachments/assets/7f9d86f4-f4b0-41c1-bc13-f9c37368570c

Content feedback

https://github.com/user-attachments/assets/45d1de20-8143-4572-ba5e-1cf4b350e121

Rich-text integration

https://user-images.githubusercontent.com/27112/223072938-8cb5ccff-4835-489a-8be4-cca85001885e.mp4

Requirements & Costs

Wagtail AI supports many different LLMs, with OpenAI models available by default. To use these, you'll need an OpenAI account and an API key. There'll also be some cost involved.

For the OpenAI API used here (gpt-3.5-turbo), the cost is

  • $0.0005 per 1000 tokens for input tokens (prompt)
  • $0.0015 per 1000 tokens for output tokens (answer)

Here is an estimated cost breakdown for the correction prompt on a 1000-word paragraph.

We assume that:

  • Prompt is 30 words and the existing paragraph is 1000 words (Input)
  • Each word is 1.3 tokens (Tokens multiplier)
  • We get back 1000 words back (Output)

Then:

  • Input tokens : (35 + 1000) x 1.3 = 1345.5 tokens.
  • Output tokens : 1000 x 1.3 = 1300
  • Input tokens cost : 1345.5 / 1000 * $0.0005 = $0.00067275
  • Output tokens cost : 1300 / 1000 * $0.0015 = $0.00195
  • Total cost : $0.00262275

Links

Supported Versions

  • Wagtail 7.1+
  • Django 4.2+
  • Python 3.11+

Project links

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Owner

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2 maintainers

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Avatar for dan.braghis from gravatar.com dan.braghis Avatar for tomusher from gravatar.com tomusher

Credits

Author: Tom Usher

GitHub Statistics

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License

MIT License

Requires

Python >=3.11

Provides Extra

docs testing

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