Files
ss-tools/frontend
busya 5e5f958eaa feat(llm): auto-detect max images per request for LLM providers
Add binary-search probe endpoint POST /providers/{id}/probe-max-images
that discovers the per-request image limit by sending incrementally
more 1x1 JPEGs via the provider's own API. Result is cached in the
new max_images column on the provider config.

- LLMProviderConfig: add max_images: int | None
- LLMProvider (SQLAlchemy): add max_images column
- Migration ed28d34edde7: clean ADD COLUMN
- LLMProviderService: create/update/set_max_images
- POST /providers/{id}/probe-max-images: binary search + error parsing
- ProviderConfig.svelte: 'Detect' button in edit modal + HelpTooltip
- i18n (en/ru): 11 new keys for probe UI
2026-05-31 22:31:36 +03:00
..
2026-05-31 17:17:30 +03:00
2026-01-22 23:18:48 +03:00
fix
2026-05-26 18:15:37 +03:00
fix
2026-02-15 11:11:30 +03:00
2026-02-19 18:24:36 +03:00

Superset Tools Frontend (SvelteKit)

This is the frontend for the Superset Tools application, built with SvelteKit in SPA mode.

Development

  1. Install dependencies:

    npm install
    
  2. Run development server:

    npm run dev
    

    The frontend will be available at http://localhost:5173. It is configured to proxy API requests to http://localhost:8000.

Production Build

  1. Build the static SPA:

    npm run build
    

    This generates a static SPA in the build/ directory.

  2. Serve with Backend: The Python backend is configured to serve the files from frontend/build/. Ensure the backend is running:

    cd ../backend
    python src/app.py
    

Architecture

  • Routing: File-based routing in src/routes/.
  • Layouts: Shared UI in src/routes/+layout.svelte.
  • Data Loading: load functions in +page.ts for efficient data fetching.
  • API Client: Centralized API logic in src/lib/api.js.
  • Styling: Tailwind CSS.