Arnaud
42 lines
1.4 KiB
TypeScript
42 lines
1.4 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 { checkAndIncrementTierLimit } from "@/lib/tiers";
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import { importFromUrl } from "@/lib/ai/features/import-url";
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import { validateWebhookUrl } from "@/lib/validate-webhook-url";
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const Schema = z.object({
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url: z.string().url(),
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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 ssrfError = await validateWebhookUrl(parsed.data.url);
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if (ssrfError) {
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return NextResponse.json({ error: ssrfError }, { 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 checkAndIncrementTierLimit(session!.user.id, session!.user.tier as "free" | "pro", "aiCall");
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const recipe = await importFromUrl(parsed.data.url, {
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provider: parsed.data.provider,
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model: parsed.data.model,
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});
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return NextResponse.json(recipe);
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}
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