同步 GPT Image 2.5 契约与工具文档

更新 OpenAPI 与外部编辑器模型说明

补充历史模型兼容解析与参数回退告警约定

将现役 ImageGen 工具脚本切换到 GPT Image 2.5

.codex/skills/genarrative-external-editor-api/references/api-operations.md

@@ -102,7 +102,7 @@ Use OpenAPI as the final authority; these common values are a routing aid:
 
 - Image `kind`: `spec`, `character`, `quick-edit`, `ui-design`, `publication-material`; ordinary image generation may omit it.
 - External v1 currently has no structured game-scene generation operation. Do not send `kind: "scene"` or `assetKind: "scene"` through generic image generation; the server rejects both before queueing.
-- Image `model`: `gpt-image-2`, `gemini-3.1-flash-image-preview`, `nanobanana2`, `nano-banana`.
+- Image `model`: `gpt-image-2.5`, `gemini-3.1-flash-image-preview`, `nanobanana2`, `nano-banana`. Persisted `gpt-image-2` / `gpt-image-2-c` are legacy values resolved only when submitting a new task.
 - Image `aspectRatio`: `1:1`, `2:3`, `3:2`, `9:16`, `16:9`.
 - Image `imageSize`: `0.5K`, `1K`, `2K`.
 - Video `model`: `seedance2.0`, `seedance2.0-fast`, `kling3.0`, `kling3.0-omni`, `veo3.1`, `veo3.1-fast`.

.codex/skills/gpt-image-2-apimart/SKILL.md

@@ -1,11 +1,11 @@
 ---
 name: gpt-image-2-apimart
-description: Generate or inspect project image assets through this repository's VectorEngine gpt-image-2 workflow with gpt-image-2-c fallback. Use when Codex needs to create puzzle template sample images, reproduce the server-rs image request body, dry-run image prompts, batch-generate local project thumbnails, or debug VECTOR_ENGINE_BASE_URL / VECTOR_ENGINE_API_KEY image-generation configuration without exposing secrets. The directory name is historical.
+description: Generate or inspect project image assets through this repository's image workflow using the GPT Image 2.5 business model. Use when Codex needs to create puzzle template sample images, reproduce the server-rs image request body, dry-run image prompts, batch-generate local project thumbnails, or debug VECTOR_ENGINE_BASE_URL / VECTOR_ENGINE_API_KEY image-generation configuration without exposing secrets. The directory name is historical.
 ---
 
-# gpt-image-2 VectorEngine
+# GPT Image 2.5 project image workflow
 
-Use this skill for project-local image asset generation that must match the repository's `server-rs` VectorEngine image path. Keep the product/price model identifier and primary provider request as `gpt-image-2`, then fall back once to `gpt-image-2-c` for eligible provider failures. The folder still contains `apimart` in its name for compatibility with existing local plugin references.
+Use this skill for project-local image asset generation that must match the repository's image request contract. Use the business model identifier `gpt-image-2.5`; provider concrete model routing is owned by `server-rs`, and this client must not perform a cross-model fallback. The folder still contains `apimart` in its name for compatibility with existing local plugin references.
 
 ## Workflow
 
@@ -40,7 +40,7 @@ Default body:
 
 ```json
 {
-  "model": "gpt-image-2",
+  "model": "gpt-image-2.5",
   "prompt": "<prompt>",
   "n": 1,
   "size": "1024x1024"
@@ -58,14 +58,14 @@ Content-Type: multipart/form-data
 Multipart fields:
 
 ```text
-model=gpt-image-2
+model=gpt-image-2.5
 prompt=<prompt>
 n=1
 size=1024x1024
 image=@reference.png
 ```
 
-In this repository, calls with no reference images use `POST /v1/images/generations`; calls with any reference image use `POST /v1/images/edits` and pass references as one or more `image` form parts. Both paths prefer `gpt-image-2`; on an eligible upstream/model failure they retry with `gpt-image-2-c`. Do not fall back for authentication, local validation, request-budget exhaustion, uncertain send/connection failure, content-safety rejection, or a generated image URL download failure. Match3D container UI generation embeds `public/match3d-background-references/pot-fused-reference.png` into the edit request as an `image` part.
+In this repository, calls with no reference images use `POST /v1/images/generations`; calls with any reference image use `POST /v1/images/edits` and pass references as one or more `image` form parts. Both paths send the business model `gpt-image-2.5`; provider routing and retry policy remain server-owned. Match3D container UI generation embeds `public/match3d-background-references/pot-fused-reference.png` into the edit request as an `image` part.
 
 Accept image output from `data[].url`, `data[].b64_json`, or direct nested `url` fields. VectorEngine image generation currently returns synchronously; do not poll APIMart task endpoints.
 

.codex/skills/gpt-image-2-apimart/scripts/generate-anthro-cat-illustrations.mjs

@@ -9,8 +9,7 @@ const skillRoot = path.resolve(__dirname, '..');
 const repoRoot = path.resolve(skillRoot, '..', '..', '..');
 const defaultOutDir = path.join(repoRoot, 'public', 'anthro-cat-illustrations');
 const defaultTimeoutMs = 1000000;
-const preferredImageModel = 'gpt-image-2';
-const fallbackImageModel = 'gpt-image-2-c';
+const preferredImageModel = 'gpt-image-2.5';
 
 const prompts = [
   {
@@ -256,41 +255,8 @@ async function fetchJson(url, options, timeoutMs) {
   }
 }
 
-function shouldFallbackImageModel(error) {
-  const raw =
-    `${error?.message || ''}\n${error?.vectorEngineBody || ''}`.toLowerCase();
-  if (error?.vectorEngineResponseParse) {
-    return !containsContentRejection(raw);
-  }
-  const status = Number(error?.vectorEngineStatus || 0);
-  if (status === 408 || status >= 500) {
-    return true;
-  }
-  if (status === 429) {
-    return !containsContentRejection(raw);
-  }
-  const mentionsImageModel =
-    raw.includes('model') ||
-    raw.includes('模型') ||
-    raw.includes(preferredImageModel) ||
-    raw.includes(fallbackImageModel);
-  return (
-    [400, 404, 422].includes(status) &&
-    mentionsImageModel &&
-    /(not found|not supported|unsupported|unavailable|does not exist|invalid model|unknown model|不存在|不支持|不可用|未开通)/u.test(
-      raw,
-    )
-  );
-}
-
-function containsContentRejection(raw) {
-  return /(invalid_prompt|safety|content[_ ]policy|moderation|prompt rejected|content rejected|prompt refusal|content refusal|rejected by safety|rejected by moderation|敏感|违规|安全策略|内容审核|提示词拒绝|内容拒绝)/u.test(
-    raw,
-  );
-}
-
 async function requestImagePayload(env, entry) {
-  for (const model of [preferredImageModel, fallbackImageModel]) {
+  for (const model of [preferredImageModel]) {
     const requestBody = {
       model,
       prompt: buildPrompt(entry),
@@ -322,12 +288,7 @@ async function requestImagePayload(env, entry) {
       error.vectorEngineBody = JSON.stringify(payload).slice(0, 600);
       throw error;
     } catch (error) {
-      if (model !== preferredImageModel || !shouldFallbackImageModel(error)) {
-        throw error;
-      }
-      console.warn(
-        `VectorEngine ${preferredImageModel} failed, retrying with ${fallbackImageModel}: ${error.message}`,
-      );
+      throw error;
     }
   }
   throw new Error(`VectorEngine returned no image for ${entry.id}`);
@@ -408,7 +369,7 @@ if (dryRun) {
         requests: selectedPrompts.map((entry) => ({
           id: entry.id,
           title: entry.title,
-          fallbackModel: fallbackImageModel,
+          fallbackModel: null,
           body: {
             model: preferredImageModel,
             prompt: buildPrompt(entry),

.codex/skills/gpt-image-2-apimart/scripts/generate-template-samples.mjs

@@ -18,8 +18,7 @@ const defaultOutDir = path.join(
   'puzzle-creation-templates',
 );
 const defaultTimeoutMs = 1000000;
-const preferredImageModel = 'gpt-image-2';
-const fallbackImageModel = 'gpt-image-2-c';
+const preferredImageModel = 'gpt-image-2.5';
 
 const args = new Map();
 for (let index = 2; index < process.argv.length; index += 1) {
@@ -226,41 +225,8 @@ async function fetchJson(url, options, timeoutMs) {
   }
 }
 
-function shouldFallbackImageModel(error) {
-  const raw =
-    `${error?.message || ''}\n${error?.vectorEngineBody || ''}`.toLowerCase();
-  if (error?.vectorEngineResponseParse) {
-    return !containsContentRejection(raw);
-  }
-  const status = Number(error?.vectorEngineStatus || 0);
-  if (status === 408 || status >= 500) {
-    return true;
-  }
-  if (status === 429) {
-    return !containsContentRejection(raw);
-  }
-  const mentionsImageModel =
-    raw.includes('model') ||
-    raw.includes('模型') ||
-    raw.includes(preferredImageModel) ||
-    raw.includes(fallbackImageModel);
-  return (
-    [400, 404, 422].includes(status) &&
-    mentionsImageModel &&
-    /(not found|not supported|unsupported|unavailable|does not exist|invalid model|unknown model|不存在|不支持|不可用|未开通)/u.test(
-      raw,
-    )
-  );
-}
-
-function containsContentRejection(raw) {
-  return /(invalid_prompt|safety|content[_ ]policy|moderation|prompt rejected|content rejected|prompt refusal|content refusal|rejected by safety|rejected by moderation|敏感|违规|安全策略|内容审核|提示词拒绝|内容拒绝)/u.test(
-    raw,
-  );
-}
-
 async function requestImagePayload(env, template) {
-  for (const model of [preferredImageModel, fallbackImageModel]) {
+  for (const model of [preferredImageModel]) {
     const requestBody = {
       model,
       prompt: buildPrompt(template),
@@ -294,12 +260,7 @@ async function requestImagePayload(env, template) {
       error.vectorEngineBody = JSON.stringify(payload).slice(0, 600);
       throw error;
     } catch (error) {
-      if (model !== preferredImageModel || !shouldFallbackImageModel(error)) {
-        throw error;
-      }
-      console.warn(
-        `VectorEngine ${preferredImageModel} failed, retrying with ${fallbackImageModel}: ${error.message}`,
-      );
+      throw error;
     }
   }
   throw new Error(`VectorEngine returned no image for ${template.id}`);
@@ -384,7 +345,7 @@ if (dryRun) {
         requests: selectedTemplates.map((template) => ({
           id: template.id,
           title: template.title,
-          fallbackModel: fallbackImageModel,
+          fallbackModel: null,
           body: {
             model: preferredImageModel,
             prompt: buildPrompt(template),