Files
TREK/server
Maurice c92c6bc07c feat(extract): drive local parsing through a layered extraction router
The single-shot prompt was unreliable on multi-leg flights and longer
documents, and slow on a CPU host. For the local provider, run a small
router instead:

- deterministic vendor templates first, with no model call at all
- exactly one grammar-enforced call per document via Ollama's native
  `format` (flights as a flat array of legs, everything else as one flat
  reservation, the type picked from keywords or a union schema)
- booking-wide fields (booking reference, total price, the overnight
  arrival day) filled deterministically from the text afterwards, and
  dates coerced to ISO so a natural-language date can't slip through

Recommend qwen2.5 in the AI-parsing settings instead of NuExtract.
2026-06-25 23:56:20 +02:00
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