DESKTOP-I1T6TF3\Q
53 lines
1.6 KiB
TypeScript
53 lines
1.6 KiB
TypeScript
import { visionDecide } from "@infiplot/engine";
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import type { VisionRequest } from "@infiplot/types";
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import { NextResponse } from "next/server";
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import { loadEngineConfig } from "@/lib/config";
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export const runtime = "nodejs";
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export const maxDuration = 60;
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// Browser annotator resizes to 768 wide → typically 200-800 KB base64.
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// 3 MB caps abusive direct-API payloads (which would inflate upstream
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// vision LLM costs) while leaving ~4x headroom for legitimate inputs.
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const MAX_ANNOTATED_BYTES = 3 * 1024 * 1024;
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export async function POST(req: Request) {
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let body: VisionRequest;
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try {
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body = (await req.json()) as VisionRequest;
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} catch {
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return NextResponse.json({ error: "Invalid JSON" }, { status: 400 });
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}
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if (!body.session) {
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return NextResponse.json(
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{ error: "session is required" },
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{ status: 400 },
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);
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}
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if (
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typeof body.annotatedImageBase64 !== "string" ||
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body.annotatedImageBase64.length === 0
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) {
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return NextResponse.json(
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{ error: "annotatedImageBase64 must be a non-empty string" },
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{ status: 400 },
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);
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}
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if (body.annotatedImageBase64.length > MAX_ANNOTATED_BYTES) {
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return NextResponse.json(
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{ error: `annotatedImageBase64 exceeds ${MAX_ANNOTATED_BYTES} bytes` },
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{ status: 413 },
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);
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}
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try {
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const config = loadEngineConfig(req.headers);
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const result = await visionDecide(config, body);
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return NextResponse.json(result);
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} catch (err) {
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const message = err instanceof Error ? err.message : "Unknown error";
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return NextResponse.json({ error: message }, { status: 500 });
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}
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}
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