After LLM returns scene IR, validate that critical fields (contentType,
responsePath, workflowArchetype) are present. If missing, send one
follow-up prompt to fill gaps. Merges repaired fields without overwriting
valid data from the first extraction.
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Identify and push js/ directory business logic files (mca.js, sgApi.js,
etc.) to the LLM prompt. Exclude third-party libraries. Capped at 4
fragments to stay within MAX_DEEP_PROMPT_CHARS budget.
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Explicitly require LLM to fill contentType, responsePath, and
requestTemplate with detected values or defaults. Reduces empty-field
rate from ~60% to target ~10%.
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When the LLM returns an empty modes array but has apiEndpoints,
automatically create a default mode with the first endpoint,
requestTemplate, responsePath, and normalizeRules. This ensures all
scenes compile through the multi-mode path.
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Add analyzeSceneDeep() function that extracts complete SceneInfo from
index.html content including API endpoints, static parameters, column
definitions, and business logic. Also adds http module import to support
non-HTTPS LLM endpoints.
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