Docs: Update benchmark for openai/gpt-5.4

tests/4_hexchain_pipeline/outputs/openai_gpt-5.4.js

@@ -0,0 +1,61 @@
+export async function hexchain(toml) {
+  const [
+    { parse },
+    { default: SeedRandom },
+    ss,
+    { default: Ajv },
+    { default: textTable },
+    domPurifyMod
+  ] = await Promise.all([
+    import('https://cdn.jsdelivr.net/npm/smol-toml/+esm'),
+    import('https://cdn.jsdelivr.net/npm/seedrandom/+esm'),
+    import('https://cdn.jsdelivr.net/npm/simple-statistics/+esm'),
+    import('https://cdn.jsdelivr.net/npm/ajv/+esm'),
+    import('https://cdn.jsdelivr.net/npm/text-table/+esm'),
+    import('https://cdn.jsdelivr.net/npm/dompurify/+esm')
+  ]);
+
+  const config = parse(toml);
+  const ajv = new Ajv();
+  const schema = {
+    type: 'object',
+    required: ['seed', 'count', 'label'],
+    properties: {
+      seed: { type: 'string' },
+      count: { type: 'integer', minimum: 1, maximum: 10000 },
+      label: { type: 'string', minLength: 1 }
+    }
+  };
+  const valid = ajv.validate(schema, config);
+
+  if (!valid) {
+    return { valid: false, errors: ajv.errorsText() };
+  }
+
+  const rng = new SeedRandom(config.seed);
+  const nums = Array.from({ length: config.count }, () => rng());
+  const round = n => +n.toFixed(6);
+  const mean = round(ss.mean(nums));
+  const stddev = round(ss.standardDeviation(nums));
+  const median = round(ss.median(nums));
+  const table = textTable([
+    ['Stat', 'Value'],
+    ['mean', String(mean)],
+    ['stddev', String(stddev)],
+    ['median', String(median)]
+  ]);
+
+  const DOMPurify = domPurifyMod.default || domPurifyMod;
+  const sanitizedHTML = DOMPurify.sanitize(`<pre class="stats">${table}</pre>`);
+
+  return {
+    valid: true,
+    label: config.label,
+    stats: { mean, stddev, median },
+    table: sanitizedHTML,
+    count: config.count
+  };
+}
+export default hexchain;
+// Generation time: 5.200s
+// Result: PASS