Arnaud
d9d58fd01a
Provider factory (OpenAI/Anthropic/OpenRouter/Ollama). generateObject for all outputs. Features: recipe generation, photo-to-recipe vision, variations, drink/meal pairings, ingredient substitution, recipe adaptation, nutrition analysis, URL import, meal plan gen. User BYOK keys (AES-256-GCM). Per-use-case model preferences (text/vision/mealPlan). Site-level key override via admin settings.
50 lines
2.0 KiB
TypeScript
50 lines
2.0 KiB
TypeScript
import { generateObject } from "ai";
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import { z } from "zod";
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import { resolveModel, type AiConfig } from "../factory";
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const DrinksOutputSchema = z.object({
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drinks: z.array(z.object({
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name: z.string(),
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type: z.enum(["wine", "beer", "cocktail", "spirit", "non-alcoholic", "hot"]),
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alcoholic: z.boolean(),
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description: z.string(),
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examples: z.array(z.string()).min(1).max(3),
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whyItPairs: z.string(),
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servingTip: z.string().optional(),
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})),
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});
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export type DrinkSuggestion = z.infer<typeof DrinksOutputSchema>["drinks"][number];
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const LANG: Record<string, string> = { en: "English", fr: "French" };
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export async function suggestDrinks(
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recipe: {
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title: string;
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description?: string | null;
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difficulty?: string | null;
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dietaryTags?: Record<string, boolean> | null;
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ingredients: Array<{ rawName: string }>;
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},
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count = 4,
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config?: AiConfig,
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locale?: string
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): Promise<DrinkSuggestion[]> {
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const model = resolveModel(config);
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const lang = LANG[locale ?? "en"] ?? "English";
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const dietaryContext = recipe.dietaryTags
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? Object.entries(recipe.dietaryTags).filter(([, v]) => v).map(([k]) => k).join(", ")
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: "";
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const { object } = await generateObject({
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model,
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schema: DrinksOutputSchema,
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system:
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`You are a sommelier and beverage expert. For each suggestion, lead with a style or category (e.g. 'Dry white Burgundy', 'Session IPA', 'Sparkling water with citrus') rather than a specific product. Then provide 2–3 concrete examples to illustrate the style. Consider flavor profiles, acidity, tannins, sweetness, weight, and cultural pairing traditions. Include a mix of alcoholic and non-alcoholic options. Respond in ${lang}.`,
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prompt: `Suggest ${count} drinks to serve with this recipe.\n\nRecipe: ${recipe.title}\n${recipe.description ? `Description: ${recipe.description}` : ""}\n${dietaryContext ? `Dietary: ${dietaryContext}` : ""}\nKey ingredients: ${recipe.ingredients.slice(0, 8).map((i) => i.rawName).join(", ")}`,
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});
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return object.drinks;
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}
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