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QA: Agent Config Object — Langroid

showcase/integrations/langroid/qa/agent-config.md

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QA: Agent Config Object — Langroid

Prerequisites

  • Demo is deployed and accessible
  • Agent backend reachable at /api/copilotkit-agent-config
  • Langroid agent server running (see /api/health)

Test Steps

1. Config UI

  • Navigate to /demos/agent-config
  • Verify data-testid="agent-config-card" is visible
  • Verify Tone / Expertise / Response length selects are rendered

2. Forwarded properties reach the agent

  • Change Tone to "enthusiastic"
  • Send "Hello" and verify a response is produced; tone should read as noticeably upbeat/warm
  • Change Expertise to "expert" and Response length to "detailed"
  • Send "Explain how LLM tool calling works" — verify the response uses domain terminology freely and is multiple sentences (not 1 to 2)
  • Change Response length to "concise" and Expertise to "beginner"
  • Send the same question — response should be 1 to 2 sentences, avoid jargon, and define any technical term the first time it appears

3. Network inspection (optional, deeper verification)

  • Open DevTools Network panel
  • Send a message and inspect the POST to /api/copilotkit-agent-config
  • In the request body, verify forwardedProps.config.configurable.properties contains tone, expertise, and responseLength with the selected values
  • The flat keys forwardedProps.tone / .expertise / .responseLength should NOT be present — the route repacks them under config.configurable.properties

Expected Results

  • Selecting different config values visibly changes the assistant's voice, depth of explanation, and response length.
  • The /api/copilotkit-agent-config request body shows the repacked shape (flat provider keys land under forwardedProps.config.configurable.properties).
  • The Langroid backend receives the properties (via AG-UI forwarded_props) and appends style directives to its system prompt for that run only; other demos remain unaffected.