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QA: Agent Config Object — LangGraph (Python)

Prerequisites

  • Demo deployed and accessible at /demos/agent-config
  • Railway service showcase-langgraph-python healthy
  • OPENAI_API_KEY set on Railway

Test Steps

1. Initial state

  • Navigate to /demos/agent-config
  • Header "Agent Config Object" visible
  • agent-config-card is visible with the heading "Agent Config"
  • Tone dropdown (data-testid="agent-config-tone-select") shows "professional"
  • Expertise dropdown (data-testid="agent-config-expertise-select") shows "intermediate"
  • Response length dropdown (data-testid="agent-config-length-select") shows "concise"
  • <CopilotChat /> composer visible below the card

2. Default send

  • Type "Tell me about black holes" and send
  • Agent responds within 15 seconds
  • Response is brief (1-3 sentences), professional tone, no emoji (consistent with the default config)

3. Enthusiastic + detailed

  • Change Tone to "enthusiastic"
  • Change Response length to "detailed"
  • Verify both select values updated in the DOM
  • Send "Tell me about black holes" again
  • Response is noticeably longer (multiple paragraphs) and uses upbeat / energetic language
  • Compare to Step 2's response — the style difference is visible

4. Beginner expertise

  • Change Expertise to "beginner"
  • Send "What is quantum entanglement?"
  • Response defines jargon and uses analogies

5. Expert expertise

  • Change Expertise to "expert"
  • Send the same question
  • Response uses precise terminology, skips basics

6. Reactivity mid-thread

  • Without reloading the page, with previous replies visible, change Tone to "casual"
  • Send a follow-up
  • Reply reflects the casual tone; previous replies in the transcript remain unchanged

7. Error handling

  • Send an empty message; verify no-op or graceful empty-message handling
  • Verify no console errors during any of the above steps

Expected Results

  • Dropdown value changes appear in the DOM within 100ms of selection
  • Agent responses arrive within 15s per send
  • Visible style differences across tone / expertise / length changes (qualitative, but clear side-by-side)
  • Transcript preserves history when config changes mid-thread