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Wagtail AI 2.0.1
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@tomusher tomusher released this 19 Jan 14:35
· 35 commits to main since this release
v2.0.1
c8539f7

Our first major version increase for Wagtail AI is out! For this release we've focused on improving the developer experience, making the user interface more resilient, and adding support for loads more LLMs.

Added

  • New setting for specifying AI backends, with a new default backend using llm (Tomasz Knapik)
  • Support for many different LLMs such as GPT-4, local models, Mistral and Claude using llm plugins (Tomasz Knapik)
  • Customisable text splitting backends (Tomasz Knapik)
  • More complete documentation (Tomasz Knapik)
  • Custom prompts can now be managed through Wagtail admin (Ben Morse)

Changed

  • Removed Langchain dependency. Text splitting is now customisable and defaults to a vendorised version of Langchain's text splitter. (Tomasz Knapik)
  • Various developer experience improvements. (Tomasz Knapik, Dan Braghis)
  • Minimum supported versions increased to Wagtail 5.2, Django 4.2 and Python 3.11 (Dan Braghis)
  • Improved how prompts are passed to the admin (Ian Meigh)

Upgrade Considerations

Prompts managed in Wagtail admin

The WAGTAIL_AI_PROMPTS setting is no longer used. Prompts are now managed through the Wagtail admin under Settings -> Prompts.

Any custom prompts should be migrated to this new model, the WAGTAIL_AI_PROMPTS setting can then be removed.

See the installation documentation for the new configuration options, and the backend customisation documentation for further customisation options.

New Contributors/Thanks

  • @tm-kn - AI backends/text splitting restructure
  • @zerolab - support with developer tooling
  • @Morsey187 - frontend refinements and admin prompt management
  • @ianmeigh - improvements to admin integration

2.0.1

Changed

  • Made llm a required dependency to simplify the installation process
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