Files
ReadMeABook/documentation/phase3
kikootwo 50fb5a68af Add custom AI provider support and improve qBittorrent auth
Introduces support for custom OpenAI-compatible AI providers with configurable base URLs, including UI, backend validation, and connection testing. Enhances qBittorrent integration to support HTTP Basic Auth for reverse proxies, adds detailed debug logging, and updates documentation for both features. Also improves login page description logic and AI prompt generation for recommendations.
2026-01-28 11:41:58 -05:00
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2026-01-28 11:41:24 -05:00

Phase 3: Automation Engine

Status: In Development

Multi-stage pipeline transforming requests into downloaded, organized media in Plex.

Pipeline

Request → search_indexers → rank_results → download_torrent
→ monitor_download → process_audiobook → update_plex

Job Types

  1. search_indexers - Search Prowlarr for torrents
  2. rank_results - Apply ranking algorithm, select best
  3. download_torrent - Add to qBittorrent
  4. monitor_download - Poll progress (10s intervals)
  5. process_audiobook - Organize files to media directory
  6. update_plex - Trigger scan, fuzzy match

Integration Points

Indexers: Prowlarr (primary), Jackett (fallback) Download Clients: qBittorrent (primary), Transmission (fallback) Media Server: Plex (scan + match)

Job Queue (Bull)

  • Redis-backed for persistence
  • Retry: 3 attempts, exponential backoff (2s, 4s, 8s)
  • Priorities: High (10), Medium (5), Low (1)
  • Concurrency: 3 concurrent per type
  • Jobs survive app restarts

Config Keys

Prowlarr: indexer.type=prowlarr, indexer.prowlarr_url, indexer.prowlarr_api_key qBittorrent: download_client.type=qbittorrent, download_client.qbittorrent_url/username/password Paths: paths.download_dir, paths.media_dir