All JSON config files (AI settings, doc settings, appearance, themes) now live
in the 'config' bucket of storage-service instead of a shared Docker volume.
- backend/core/config_storage.py: new async HTTP helpers for config bucket r/w
- backend/core/app_config.py: fully async rewrite; all load_*/save_*/seed_*
functions use config_storage instead of filesystem
- backend/routers/settings.py: all asyncio.to_thread() wrappers removed; direct
await calls throughout; update_theme reads via load_theme_by_id()
- backend/main.py: await seed_builtin_themes() directly (no to_thread)
- ai-service: remove CONFIG_PATH, add STORAGE_SERVICE_URL; config_reader now
fetches from storage-service via httpx
- doc-service: config_reader rewritten to fetch/write via storage-service
- docker-compose: remove app_config volume; add storage-service depends_on for
ai-service; remove DATA_DIR and CONFIG_PATH from doc-service
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Introduce async priority queue service in ai-service; all /chat calls now route through it
- Refactor chat router to separate execute_chat (core logic) from the HTTP handler
- Add /queue endpoints (status, pause, resume, cancel) for queue management
- Update ai-service config to use Pydantic v2 model_config style
- Add STATUS.md files for backend, ai-service, doc-service, and frontend
- Document STATUS.md workflow in CLAUDE.md
- Update doc-service documents router and schemas; frontend DocumentsPage and API client
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
All feature containers now POST messages to ai-service (port 8010) instead
of calling AI providers directly. ai-service routes to LM Studio, Ollama,
or Anthropic based on /config/ai_service_config.json. doc-service AI
providers removed; replaced by httpx ai_client.py. Backend settings
restructured to /api/settings/ai. Frontend gets dedicated AIAdminSettingsPage
and AI Service card in AppsPage.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
curo1305