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Docs update: Ultimate AI Connector for WebLLM v1.1.0 #13

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Description

@superdav42

Release

Ultimate AI Connector for WebLLM v1.1.0 — released 2026-04-09

Required doc updates

  • docs/addons/ultimate-ai-connector-webllm/index.mdx — Document the new floating chat widget: what it does (any logged-in user can prompt the browser-side LLM from the front end), the admin-bar status indicator, and how to enable/disable it.
  • docs/addons/ultimate-ai-connector-webllm/index.mdx — Document the new widget settings in the Connector panel: toggle for the chat widget, auto-prompt behaviour configuration.

Changelog entry

= 1.1.0 =
Released on 2026-04-09

* New: floating chat widget with admin-bar status indicator — any logged-in user can prompt the browser-side LLM directly from the front end.
* New: SharedWorker runtime — the MLC engine now runs in a SharedWorker so multiple tabs share one GPU session instead of fighting over it.
* New: apiFetch middleware interceptor — WordPress REST requests that match the AI Client SDK pattern are transparently routed to the local WebLLM broker, no loopback HTTP round-trip needed.
* New: widget settings UI in the Connector panel for toggling the chat widget and configuring auto-prompt behaviour.
* Fix: force IndexedDB cache backend so model weight downloads survive HuggingFace xet CDN redirects that break the default Cache API path.
* Fix: skip the context_window KV-cache override for embedding models (they have no decoder and the override caused a runtime error).
* Fix: advertise the cold-start candidate model in /webllm/v1/models before the worker tab has loaded, so SDK consumers see a model immediately.
* Fix: hook WebLLM into the wpai_preferred_text_models filter so the AI Experiments feature routes to the browser engine when a model is configured.
* Improved: cache-busting, content normalisation, and hardware-reference fixes surfaced during end-to-end testing.

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