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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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.
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## 0.37.0 — 2026-07-17 12:30
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### Fixed
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- 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.
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## 0.36.0 — 2026-07-17 12:00
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### Added
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