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Paul BakausandClaude Fable 5
5612cdf45b
Paul's design, three pieces: serve-question.mjs: the world decision presented as a themed page instead of a text prompt. The script serves an impeccable-styled option board (assigned direction leading with THE ROLL badge, dealt challengers as alternates carrying their QUALITY BAR cards, re-roll and steer built in), prints the URL, opens the browser, and blocks until the user chooses; the answer lands on stdout as ANSWER JSON, so the shell call itself is the wait and no harness machinery is needed. Local images are served by the ephemeral server; nothing leaves the machine. generate-image.mjs + context.mjs IMAGE_GEN_AVAILABLE: when an OpenAI key is in the environment, context reports that image generation works even without a harness-native tool (gpt-image-2, billed to the user's key, stated before first use; Google skipped by decision). Harness-native tools always win when present. new-work.md: visualize-before-build is now the default whenever any image generation exists, not a codex.md special case; the attended presentation prefers the visual decision page and falls back to the structured question tool. Evals keep the unattended path untouched. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
55 lines
2.1 KiB
JavaScript
55 lines
2.1 KiB
JavaScript
#!/usr/bin/env node
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/**
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* API image generation fallback: renders a mock or world board with the
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* user's own OpenAI key when the harness has no native image generation.
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*
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* context.mjs reports availability (it checks OPENAI_API_KEY); harness-native
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* generation always wins when present. This uses gpt-image-2 and spends the
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* user's API credit (roughly $0.05-0.25 per image at default quality), so the
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* skill states that before the first call in a session.
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*
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* node generate-image.mjs --prompt "..." --out mock.png [--size 1536x1024] [--quality medium]
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* node generate-image.mjs --prompt-file prompt.txt --out mock.png
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*/
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import fs from 'node:fs';
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function arg(name, fallback = null) {
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const i = process.argv.indexOf(`--${name}`);
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if (i === -1) return fallback;
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const v = process.argv[i + 1];
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return v && !v.startsWith('--') ? v : fallback;
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}
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const key = process.env.OPENAI_API_KEY;
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if (!key) {
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console.error('generate-image: OPENAI_API_KEY is not set; use the harness-native image tool instead.');
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process.exit(1);
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}
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const promptFile = arg('prompt-file');
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const prompt = promptFile ? fs.readFileSync(promptFile, 'utf8') : arg('prompt');
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const out = arg('out');
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if (!prompt || !out) {
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console.error('generate-image: --prompt (or --prompt-file) and --out are required.');
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process.exit(1);
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}
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const size = arg('size', '1536x1024');
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const quality = arg('quality', 'medium');
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const response = await fetch('https://api.openai.com/v1/images/generations', {
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method: 'POST',
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headers: { Authorization: `Bearer ${key}`, 'content-type': 'application/json' },
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body: JSON.stringify({ model: 'gpt-image-2', prompt, size, quality, n: 1 }),
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});
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if (!response.ok) {
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console.error(`generate-image: API error ${response.status}: ${(await response.text()).slice(0, 300)}`);
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process.exit(1);
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}
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const json = await response.json();
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const b64 = json?.data?.[0]?.b64_json;
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if (!b64) {
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console.error('generate-image: no image in response');
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process.exit(1);
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}
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fs.writeFileSync(out, Buffer.from(b64, 'base64'));
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console.log(`IMAGE: ${out} (${size}, ${quality}, gpt-image-2, billed to your OpenAI key)`);
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