feat: split photo-import into vision recognition + text generation

The photo-import flow used one vision-capable model to both read the
photo and structure the full recipe (quantities, steps, timing) in a
single call. Split it into two: a vision model recognizes what's in
the picture, then a text model reconstructs the recipe from that
description — same pattern the pantry photo-scan already uses for
recognition, and lets structuring use whichever model is actually
configured for text generation. Still counts as one AI-quota unit.

v0.37.0
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Arnaud
2026-07-17 16:12:39 +02:00
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All notable changes to Epicure are documented here. This file is mirrored in-app at `/changelog` (and in the admin dashboard) via `apps/web/lib/changelog.ts` — update both together.
## 0.37.0 — 2026-07-17 12:30
### Fixed
- Generating a recipe from a photo now uses two separate AI steps — a vision model recognizes what's in the picture, then a text model writes the recipe from that — instead of one model doing both, so each step can use the model actually suited to it.
## 0.36.0 — 2026-07-17 12:00
### Added