b742d774c8
Real test revealed gpt-4o-mini was still:
- Hallucinating suite names ("Aluba" doesn't exist — we only have
Alexa, Stilo, Hidromassagem)
- Extracting cadastral data as memory ("Rodrigo has a CPF", "Name is X")
despite the per-type NÃO examples
Added two sections at the top of the prompt:
1. Business canonical data — explicit whitelist of suite names (Alexa,
Stilo, Hidromassagem) and stay types. Anything else = discard, NO auto-
normalization. LLM must not guess.
2. Cadastral data absolute rule — explicit list of fields that are
profile data, not memory: name, CPF/RG/passport, email/phone/address,
birth date. Plus 5 concrete ❌ examples of what was being wrongly
extracted in the wild.
Existing 9 specs still pass (stub at call_llm; prompt change is
semantic, not structural).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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| captain | ||
| cloudflare | ||
| companies | ||
| contacts | ||
| enterprise | ||
| internal | ||
| llm | ||
| messages | ||
| sla | ||
| twilio | ||
| voice | ||
| page_crawler_service.rb | ||