Function generateMockup

design/prototype.ts:37–97

(brief: { name: string; prompt: string })

];

async function generateMockup(brief: { name: string; prompt: string }) {
  console.log(`\n${"=".repeat(60)}`);
  console.log(`Generating: ${brief.name}`);
  console.log(`${"=".repeat(60)}`);

  const startTime = Date.now();

  const controller = new AbortController();
  const timeout = setTimeout(() => controller.abort(), 120_000); // 2 min timeout

  const response = await fetch("https://api.openai.com/v1/responses", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      model: "gpt-4o",
      input: brief.prompt,
      tools: [{
        type: "image_generation",
        size: "1536x1024",
        quality: "high"
      }],
    }),
    signal: controller.signal,
  });
  clearTimeout(timeout);

  if (!response.ok) {
    const error = await response.text();
    console.error(`FAILED (${response.status}): ${error}`);
    return null;
  }

  const data = await response.json() as any;
  const elapsed = ((Date.now() - startTime) / 1000).toFixed(1);

  // Find the image generation result in output
  const imageItem = data.output?.find((item: any) =>
    item.type === "image_generation_call"
  );

  if (!imageItem?.result) {
    console.error("No image data in response. Output types:",
      data.output?.map((o: any) => o.type));
    console.error("Full response:", JSON.stringify(data, null, 2).slice(0, 500));
    return null;
  }

  const safeName = brief.name.replace(/[^a-zA-Z0-9_-]/g, "_");
  const outputPath = OUTPUT_DIR + "/" + safeName + ".png";
  const imageBuffer = Buffer.from(imageItem.result, "base64");
  fs.writeFileSync(outputPath, imageBuffer);

  console.log(`OK (${elapsed}s) → ${outputPath}`);
  console.log(`   Size: ${(imageBuffer.length / 1024).toFixed(0)} KB`);
  console.log(`   Usage: ${JSON.stringify(data.usage || {})}`);