Piotr Oleszczyk
31e030eaac
Add POST /products/parse-text endpoint that accepts raw product text, calls Gemini (google-genai) with a structured extraction prompt, and returns a partial ProductParseResponse. Frontend gains a collapsible "AI pre-fill" card at the top of ProductForm that merges the LLM response into all form fields reactively. - Backend: ProductParseRequest/Response schemas, system prompt with enum constraints, temperature=0.0 for deterministic extraction, effect_profile always returned in full - Frontend: parseProductText() in api.ts; controlled $state bindings for all text/number/checkbox inputs; applyAiResult() merges response Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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| static | ||
| .env.example | ||
| .gitignore | ||
| .npmrc | ||
| components.json | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| README.md | ||
| svelte.config.js | ||
| tsconfig.json | ||
| vite.config.ts | ||
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