declarative-hashbrown.md

QA: Declarative UI — Hashbrown — LangGraph (Python)

Prerequisites

• Demo deployed at /demos/declarative-hashbrown
• Railway service showcase-langgraph-python-production healthy
• OPENAI_API_KEY set in the Railway environment
• @hashbrownai/core + @hashbrownai/react installed in the package
• byoc_hashbrown graph registered in langgraph.json

Test Steps

1. Page load

• Navigate to /demos/declarative-hashbrown
• Header "Declarative UI: Hashbrown" visible
• Short description mentioning @hashbrownai/react visible
• Chat composer visible at the bottom of the chat area
• 3 suggestion pills visible inside the composer with labels: "Sales dashboard", "Revenue by category", "Expense trend"
• No red console errors (amber hydration warnings tolerated)

2. Sales dashboard suggestion

• Click the "Sales dashboard" pill
• The prompt is dispatched automatically (useConfigureSuggestions sends the message on pill click)
• Within 45 seconds, at least one MetricCard (data-testid="metric-card") renders in the transcript
• Within 45 seconds, at least one chart (data-testid="bar-chart" or data-testid="pie-chart") renders
• Rendered content streams progressively — partial UI appears before the full response completes (optional visual check)

3. Revenue by category

• Click "Revenue by category"
• Within 45s, a pie chart (data-testid="pie-chart") renders
• Legend shows at least 4 segments with readable labels and values

4. Expense trend

• Click "Expense trend"
• Within 45s, a bar chart (data-testid="bar-chart") renders
• Chart has at least 3 bars with month-like labels

5. Free-form prompt

• Type "Show me revenue trends for the last six months" and press Enter
• Verify at least one catalog component renders (metric, chart, or deal)

6. Multi-turn

• After a first render completes, send a follow-up prompt (e.g. "Now break it down by region")
• A new render appears alongside prior renders in the transcript

7. Error handling

• Empty send is a no-op (button stays disabled)
• Console remains clean during successful flows

Expected Results

• Suggestion pills produce a hashbrown render within 45 seconds
• Streaming renders assemble progressively as JSON chunks arrive
• No uncaught errors; no useHashBrownKit must be used within HashBrownDashboard errors
• Multi-turn works without clearing prior renders