Files
ss-tools/frontend
busya f87ebf5d4b feat(agent): Gradio-powered LangGraph agent chat with streaming, tool calls, file upload, conversation persistence
- Gradio 5.50.0 ChatInterface with type='messages' streaming
- LangGraph create_react_agent with InMemorySaver checkpointer
- 4 @tool functions: search_dashboards, get_health_summary, list_environments, get_task_status
- Structured ChatMessage metadata (7 discriminator types: stream_token, tool_start/end/error, confirm_required, confirm_resolved, error)
- HITL resume via second submit() with interrupt_before/Command
- Dual-identity RBAC: service JWT + user JWT for tool calls
- File upload (10 MB limit, pdfplumber/xlsx/JSON parser)
- Conversation persistence via POST /api/agent/conversations/save
- REST API: list, history, archive conversations; multi-tab gate; LLM config
- LLM provider selection via Admin -> LLM Settings (assistant_planner_provider)
- Svelte 5 AgentChatModel with stream event queue, dedup, stream_status watcher
- MarkdownRenderer using svelte-markdown with semantic Tailwind tokens
- ToolCallCard (3 states: executing/completed/failed)
- ConversationList with search, date grouping, infinite scroll
- ConnectionIndicator with Gradio health status
- /agent route with two-column layout
- Vite proxy /api/agent/gradio -> Gradio SSE
- Fixed: not_() SQLAlchemy operator, route collision with _admin_routes
- Fixed: conversation_id -> id normalization, .pyc cache staleness
- Fixed: event.data array parsing (Gradio returns [jsonStr, null])
- Requirements pinned: gradio==5.50.0, pydantic>=2.7,<=2.12.3
2026-06-10 10:27:19 +03:00
..
2026-06-02 16:36:00 +03:00
2026-01-22 23:18:48 +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.