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Add extensible notification providers + UI/API

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Introduce a provider-based notification system and wire it through the API and admin UI. Added INotificationProvider + notification service implementation and providers (apprise, discord, ntfy, pushover), plus a GET /api/admin/notifications/providers endpoint to expose provider metadata. Refactored code to use provider type strings (removed enum coupling), updated masking/encryption calls, and simplified the test notification endpoint to accept backendId or type+config and call sendToBackend directly.

UI: NotificationsTab now fetches provider metadata and renders provider cards and dynamic config forms (fields driven by provider metadata). Added config field rendering, improved backend cards, and edit/delete actions.

APIs: New providers route, updated admin notification CRUD routes to validate provider types dynamically, updated test route schema. Added download-client categories POST API to fetch categories from clients and wired postImportCategory handling in download-client routes.

Other notable changes: BookDate now fetches Claude models dynamically from Anthropic's Models API; added paginated model fetch helper. Added ALLOW_WEAK_PASSWORD flag exposure to auth providers and password change logic. Doc updates and various tests added/updated. File-organization doc clarifies EPERM fix using stream-based copy.
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kikootwo
2026-02-10 15:06:20 -05:00
parent 4a38dd3da8
commit af0eaceb98
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documentation/features/bookdate.md
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Personalized audiobook discovery using OpenAI/Claude APIs. Admin configures AI provider globally. Users swipe through recommendations based on their individual Plex library + swipe history. Right swipe creates request, left rejects, up dismisses.
## Key Details
- **AI Providers:** OpenAI (GPT-4o+), Claude (Sonnet 4.5, Opus 4, Haiku)
- **AI Providers:** OpenAI (GPT-4+), Claude (dynamically fetched from Anthropic Models API)
- **Configuration:** Global admin-managed (provider, model, API key), per-user preferences (library scope, custom prompt)
- **Personalization:** Each user receives recommendations based on their own library, ratings, swipe history, and custom preferences
- **Library Scopes (per-user):**