Files
confidence-engine/evaluation-results/2026-08-01T06-11-41/diag-05-result.json
T
robbond 956fc2e31e fix: resolve 500 errors from model returning trivial status objects (root cause + v0.2 prompt fix)
Two bugs were causing the model to return {"status":"ok"} / {"status":"ready"}
instead of structured reconstruction data, resulting in POST /api/analyse 500:

1. DOUBLE-WRAPPING BUG (lib/llm/provider.js):
   generateReconstruction() called buildPrompt(scenario) on input that was
   already a fully-built prompt string from analyseScenario(). This wrapped the
   v0.1 prompt (~5000+ chars) in another template layer, producing incomprehensible
   output that the model could not parse as structured JSON.
   Fix: Pass scenario through directly (it is ALREADY a built prompt).

2. MISSING JSON SPEC (prompts/reconstruct-v0.2.md):
   The v0.2 prompt template said 'matching the structure exactly' but never
   defined what that structure was. The model invented its own field names
   (input_classification, reasoning_mode, anchors) with snake_case instead of
   camelCase, which failed Zod validation -> 500 errors.
   Fix: Added explicit JSON schema section with exact key names, enum values,
   and nested structure matching the Zod validation layer.

Additionally:
- Refactored route to use analyseScenario from lib/analysis (centralized)
- Added lib/analysis.js with shared analysis logic
- Updated components to display promptVersion and validation errors
- Added lib/reconstruction/prompt.js v0.1/v0.2 versioning
- Added lib/reconstruction/schema.js v0.2 Zod schemas
- Added debug tool scripts, evaluation results, and comparison findings
2026-08-01 08:57:28 +01:00

33 lines
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JSON

{
"id": "diag-05",
"description": "Unexpected continuity — changed context but no outcome change.",
"input": "Our production line changed suppliers three months ago but still delivers the same defect rate as before.",
"responseDurationMs": 16508,
"actualPrimaryType": null,
"actualReasoningModes": [],
"rawOutput": "{}",
"technical": {
"schemaValid": false,
"classificationMatch": false,
"reasoningModeMatch": false,
"nextQuestionPresent": false,
"pass": false,
"errors": [
"inputClassification: Required",
"reconstruction: Required",
"evidence: Required",
"nextQuestion: Required"
]
},
"reasoningQuality": {
"requiredConcepts": {
"pass": true,
"details": []
},
"unsupportedInferencesAbsent": {
"pass": true,
"details": []
},
"pass": false
}
}