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

This commit is contained in:

Arnaud

2026-07-17 16:12:39 +02:00

parent 5763bd3318

commit f0340859fa

12 changed files with 157 additions and 59 deletions

									
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				{

				  "name": "epicure",

				  "version": "0.36.0",

				  "version": "0.37.0",

				  "private": true,

				  "scripts": {

				    "dev": "pnpm --filter web dev",