From 6e9f991a769e3a1f650bd452e2b8252b1165742b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E7=8E=8B=E5=BE=B7=E5=AE=87?= <kvtodev@outlook.com>
Date: Mon, 21 Sep 2026 15:16:56 +0800
Subject: [PATCH] =?UTF-8?q?=E6=B8=85=E7=90=86=E7=8C=AB=E6=8F=92=E7=94=BB?=
 =?UTF-8?q?=E8=84=9A=E6=9C=AC=E7=9A=84=E5=8D=95=E6=A8=A1=E5=9E=8B=E8=AF=B7?=
 =?UTF-8?q?=E6=B1=82=E5=BE=AA=E7=8E=AF?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

移除单元素模型循环和无操作异常捕获

保留原有请求与错误语义
---
 .../generate-anthro-cat-illustrations.mjs     | 62 ++++++++-----------
 1 file changed, 27 insertions(+), 35 deletions(-)

diff --git a/.codex/skills/gpt-image-2-apimart/scripts/generate-anthro-cat-illustrations.mjs b/.codex/skills/gpt-image-2-apimart/scripts/generate-anthro-cat-illustrations.mjs
index 97bbae547..712366cf8 100644
--- a/.codex/skills/gpt-image-2-apimart/scripts/generate-anthro-cat-illustrations.mjs
+++ b/.codex/skills/gpt-image-2-apimart/scripts/generate-anthro-cat-illustrations.mjs
@@ -256,42 +256,34 @@ async function fetchJson(url, options, timeoutMs) {
 }
 
 async function requestImagePayload(env, entry) {
-  for (const model of [preferredImageModel]) {
-    const requestBody = {
-      model,
-      prompt: buildPrompt(entry),
-      n: 1,
-      size: '1024x1024',
-    };
-    try {
-      const payload = await fetchJson(
-        buildVectorEngineImagesGenerationUrl(env.baseUrl),
-        {
-          method: 'POST',
-          headers: {
-            Authorization: `Bearer ${env.apiKey}`,
-            Accept: 'application/json',
-            'Content-Type': 'application/json',
-          },
-          body: JSON.stringify(requestBody),
-        },
-        env.timeoutMs,
-      );
-      const base64Image = decodeStrictBase64Image(
-        extractBase64Images(payload)[0],
-      );
-      if (extractImageUrls(payload)[0] || base64Image) {
-        return payload;
-      }
-      const error = new Error(`VectorEngine returned no image for ${entry.id}`);
-      error.vectorEngineResponseParse = true;
-      error.vectorEngineBody = JSON.stringify(payload).slice(0, 600);
-      throw error;
-    } catch (error) {
-      throw error;
-    }
+  const model = preferredImageModel;
+  const requestBody = {
+    model,
+    prompt: buildPrompt(entry),
+    n: 1,
+    size: '1024x1024',
+  };
+  const payload = await fetchJson(
+    buildVectorEngineImagesGenerationUrl(env.baseUrl),
+    {
+      method: 'POST',
+      headers: {
+        Authorization: `Bearer ${env.apiKey}`,
+        Accept: 'application/json',
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify(requestBody),
+    },
+    env.timeoutMs,
+  );
+  const base64Image = decodeStrictBase64Image(extractBase64Images(payload)[0]);
+  if (extractImageUrls(payload)[0] || base64Image) {
+    return payload;
   }
-  throw new Error(`VectorEngine returned no image for ${entry.id}`);
+  const error = new Error(`VectorEngine returned no image for ${entry.id}`);
+  error.vectorEngineResponseParse = true;
+  error.vectorEngineBody = JSON.stringify(payload).slice(0, 600);
+  throw error;
 }
 
 async function downloadUrl(url, timeoutMs) {