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feat: design tools prototype validation — GPT Image API works
Prototype script sends 3 design briefs to OpenAI Responses API with image_generation tool. Results: dashboard (47s, 2.1MB), landing page (42s, 1.3MB), settings page (37s, 1.3MB) all produce real, implementable UI mockups with accurate text rendering and clean layouts. Key finding: Codex OAuth tokens lack image generation scopes. Direct API key (sk-proj-*) required, stored in ~/.gstack/openai.json. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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/**
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* Commit 0: Prototype validation
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* Sends 3 design briefs to GPT Image API via Responses API.
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* Validates: text rendering quality, layout accuracy, visual coherence.
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*
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* Run: OPENAI_API_KEY=$(cat ~/.gstack/openai.json | python3 -c "import sys,json;print(json.load(sys.stdin)['api_key'])") bun run design/prototype.ts
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*/
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import fs from "fs";
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import path from "path";
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const API_KEY = process.env.OPENAI_API_KEY
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|| JSON.parse(fs.readFileSync(path.join(process.env.HOME!, ".gstack/openai.json"), "utf-8")).api_key;
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if (!API_KEY) {
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console.error("No API key found. Set OPENAI_API_KEY or save to ~/.gstack/openai.json");
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process.exit(1);
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}
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const OUTPUT_DIR = "/tmp/gstack-prototype-" + Date.now();
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fs.mkdirSync(OUTPUT_DIR, { recursive: true });
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const briefs = [
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{
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name: "dashboard",
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prompt: `Generate a pixel-perfect UI mockup of a web dashboard for a coding assessment platform. Dark theme (#1a1a1a background), cream accent (#f5e6c8). Show: a header with "Builder Profile" title, a circular score badge showing "87/100", a card with a narrative assessment paragraph (use realistic lorem text about coding skills), and 3 score cards in a row (Code Quality: 92, Problem Solving: 85, Communication: 84). Modern, clean typography. 1536x1024 pixels.`
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},
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{
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name: "landing-page",
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prompt: `Generate a pixel-perfect UI mockup of a SaaS landing page for a developer tool called "Stackflow". White background, one accent color (deep blue #1e40af). Hero section with: large headline "Ship code faster with AI review", subheadline "Automated code review that catches bugs before your users do", a primary CTA button "Start free trial", and a secondary link "See how it works". Below the fold: 3 feature cards with icons. Modern, minimal, NOT generic AI-looking. 1536x1024 pixels.`
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},
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{
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name: "mobile-app",
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prompt: `Generate a pixel-perfect UI mockup of a mobile app screen (iPhone 15 Pro frame, 390x844 viewport shown on a light gray background). The app is a task manager. Show: a top nav bar with "Today" title and a profile avatar, 4 task items with checkboxes (2 checked, 2 unchecked) with realistic task names, a floating action button (+) in the bottom right, and a bottom tab bar with 4 icons (Home, Calendar, Search, Settings). Use iOS-native styling with SF Pro font. Clean, minimal.`
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}
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];
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async function generateMockup(brief: { name: string; prompt: string }) {
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console.log(`\n${"=".repeat(60)}`);
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console.log(`Generating: ${brief.name}`);
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console.log(`${"=".repeat(60)}`);
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const startTime = Date.now();
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const controller = new AbortController();
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const timeout = setTimeout(() => controller.abort(), 120_000); // 2 min timeout
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const response = await fetch("https://api.openai.com/v1/responses", {
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method: "POST",
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headers: {
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"Authorization": `Bearer ${API_KEY}`,
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"Content-Type": "application/json",
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},
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body: JSON.stringify({
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model: "gpt-4o",
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input: brief.prompt,
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tools: [{
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type: "image_generation",
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size: "1536x1024",
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quality: "high"
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}],
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}),
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signal: controller.signal,
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});
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clearTimeout(timeout);
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if (!response.ok) {
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const error = await response.text();
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console.error(`FAILED (${response.status}): ${error}`);
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return null;
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}
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const data = await response.json() as any;
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const elapsed = ((Date.now() - startTime) / 1000).toFixed(1);
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// Find the image generation result in output
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const imageItem = data.output?.find((item: any) =>
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item.type === "image_generation_call"
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);
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if (!imageItem?.result) {
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console.error("No image data in response. Output types:",
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data.output?.map((o: any) => o.type));
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console.error("Full response:", JSON.stringify(data, null, 2).slice(0, 500));
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return null;
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}
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const outputPath = path.join(OUTPUT_DIR, `${brief.name}.png`);
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const imageBuffer = Buffer.from(imageItem.result, "base64");
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fs.writeFileSync(outputPath, imageBuffer);
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console.log(`OK (${elapsed}s) → ${outputPath}`);
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console.log(` Size: ${(imageBuffer.length / 1024).toFixed(0)} KB`);
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console.log(` Usage: ${JSON.stringify(data.usage || {})}`);
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return outputPath;
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}
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async function main() {
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console.log("Design Tools Prototype Validation");
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console.log(`Output: ${OUTPUT_DIR}`);
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console.log(`Briefs: ${briefs.length}`);
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console.log();
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const results: { name: string; path: string | null; }[] = [];
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for (const brief of briefs) {
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try {
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const resultPath = await generateMockup(brief);
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results.push({ name: brief.name, path: resultPath });
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} catch (err) {
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console.error(`ERROR generating ${brief.name}:`, err);
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results.push({ name: brief.name, path: null });
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}
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}
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console.log(`\n${"=".repeat(60)}`);
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console.log("RESULTS");
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console.log(`${"=".repeat(60)}`);
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const succeeded = results.filter(r => r.path);
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const failed = results.filter(r => !r.path);
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console.log(`${succeeded.length}/${results.length} generated successfully`);
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if (failed.length > 0) {
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console.log(`Failed: ${failed.map(f => f.name).join(", ")}`);
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}
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if (succeeded.length > 0) {
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console.log(`\nGenerated mockups:`);
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for (const r of succeeded) {
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console.log(` ${r.path}`);
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}
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console.log(`\nOpen in Finder: open ${OUTPUT_DIR}`);
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}
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if (succeeded.length === 0) {
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console.log("\nPROTOTYPE FAILED: No mockups generated. Re-evaluate approach.");
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process.exit(1);
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}
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}
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main().catch(console.error);
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