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.
40 lines
1.3 KiB
TypeScript
40 lines
1.3 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { requireSession } from "@/lib/api-auth";
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import { applyRateLimit } from "@/lib/rate-limit";
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import { checkTierLimit, incrementUsage } from "@/lib/tiers";
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import { generateRecipe } from "@/lib/ai/features/generate-recipe";
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const Schema = z.object({
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prompt: z.string().min(3).max(500),
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language: z.string().max(10).default("en"),
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provider: z.enum(["openai", "anthropic", "openrouter", "ollama"]).optional(),
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model: z.string().optional(),
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});
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export async function POST(req: NextRequest) {
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const { session, response } = await requireSession();
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if (response) return response;
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const body = await req.json() as unknown;
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const parsed = Schema.safeParse(body);
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if (!parsed.success) {
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return NextResponse.json({ error: "Validation error", issues: parsed.error.issues }, { status: 400 });
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}
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const limited = await applyRateLimit(`rl:ai:${session!.user.id}`, 10, 60);
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if (limited) return limited;
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await checkTierLimit(session!.user.id, session!.user.tier as "free" | "pro", "aiCall");
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const recipe = await generateRecipe(parsed.data.prompt, {
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provider: parsed.data.provider,
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model: parsed.data.model,
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language: parsed.data.language,
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});
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await incrementUsage(session!.user.id, "aiCall");
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return NextResponse.json(recipe);
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}
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