Arnaud
f0340859fa
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
24 lines
632 B
JSON
24 lines
632 B
JSON
{
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"name": "epicure",
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"version": "0.37.0",
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"private": true,
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"scripts": {
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"dev": "pnpm --filter web dev",
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"build": "pnpm --filter web build",
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"lint": "pnpm -r lint",
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"typecheck": "pnpm -r typecheck",
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"db:generate": "pnpm --filter @epicure/db generate",
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"db:migrate": "pnpm --filter @epicure/db migrate",
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"db:seed": "pnpm --filter @epicure/db seed",
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"db:backfill-usernames": "pnpm --filter @epicure/db backfill-usernames",
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"db:studio": "pnpm --filter @epicure/db studio"
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},
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"devDependencies": {
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"typescript": "^5.8.3"
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},
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"engines": {
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"node": ">=22",
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"pnpm": ">=11"
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}
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}
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