app/(admin)/settings/_components/local-ai-sections/image-pipeline-sections.tsx

@@ -2377,10 +2377,8 @@ export function LocalAiImagePipelineSections({
             items={[
               {
                 label:
-                  extendConfig.provider === "fal"
+                  extendConfig.provider === "vip98k"
-                    ? "fal · FLUX 2 Pro 扩图"
+                    ? "VIP98K 服务商"
-                    : extendConfig.provider === "vip98k"
-                    ? `98K · ${extendConfig.modelId || "image-expansion"}`
                     : "阿里云服务商",
                 tone: "enabled",
               },
@@ -2393,13 +2391,9 @@ export function LocalAiImagePipelineSections({
         }
         title="图像拓展API配置"
       >
-        {extendConfig.provider === "fal" ? (
+        {extendConfig.provider === "vip98k" ? (
           <div className="rounded-lg border bg-muted/40 p-4 text-sm">
-            使用 FLUX 2 Pro Outpaint 扩展图片。密钥从已启用的 fal 官方服务商读取。
+            使用 VIP98K 的 image-expansion 模型。API Key 从“AI 模型设置”中的
-          </div>
-        ) : extendConfig.provider === "vip98k" ? (
-          <div className="rounded-lg border bg-muted/40 p-4 text-sm">
-            使用 98K 的 {extendConfig.modelId || "image-expansion"} 模型。API Key 从“AI 模型设置”中的
             VIP98K 服务商读取，仅在这里维护扩展比例。
           </div>
         ) : (

app/(admin)/settings/_lib/types.ts

@@ -274,9 +274,7 @@ export type EnhanceConfig = {
 };
 
 export type ExtendConfig = {
-  provider: "vip98k" | "dashscope" | "fal";
+  provider: "vip98k" | "dashscope";
-  modelId: string;
-  routeOptionId: string;
   xScale: string;
   yScale: string;
 };

app/(admin)/settings/admin-settings-client.tsx

@@ -2576,9 +2576,7 @@ export function AdminSettingsClient() {
 
   // 图像拓展API配置状态
   const [extendConfig, setExtendConfig] = useState({
-    provider: "dashscope" as "vip98k" | "dashscope" | "fal",
+    provider: "dashscope" as "vip98k" | "dashscope",
-    modelId: "",
-    routeOptionId: "",
     xScale: "1.5", // X轴放大倍数
     yScale: "1.5", // Y轴放大倍数
   });
@@ -2893,16 +2891,12 @@ export function AdminSettingsClient() {
   useEffect(() => {
     if (extendConfigData?.setting?.value) {
       const config = extendConfigData.setting.value as {
-        provider?: "vip98k" | "dashscope" | "fal";
+        provider?: "vip98k" | "dashscope";
-        modelId?: string;
-        routeOptionId?: string;
         xScale?: number;
         yScale?: number;
       };
       setExtendConfig({
-        provider: config.provider === "vip98k" || config.provider === "fal" ? config.provider : "dashscope",
+        provider: config.provider === "vip98k" ? "vip98k" : "dashscope",
-        modelId: config.modelId || "",
-        routeOptionId: config.routeOptionId || "",
         xScale: config.xScale ? String(config.xScale) : "1.5",
         yScale: config.yScale ? String(config.yScale) : "1.5",
       });
@@ -5511,8 +5505,6 @@ export function AdminSettingsClient() {
           key: "extend_api_config",
           value: {
             provider: extendConfig.provider,
-            modelId: extendConfig.modelId,
-            routeOptionId: extendConfig.routeOptionId,
             xScale,
             yScale,
           },

app/(chat)/api/chat/_lib/detail-replacement.ts

@@ -4,8 +4,7 @@ import { fetchImageBufferFromUrl } from "@/lib/ai/rmbg/service";
 import { getLanguageModelById } from "@/lib/ai/dynamic-provider";
 import {
   DETAIL_REPLACEMENT_IMAGE_MODEL_CONFIG_KEY,
-  findConfiguredDetailReplacementImageModel,
+  normalizeDetailReplacementImageModelConfig,
-  isDetailReplacementImageModel,
 } from "@/lib/ai/detail-replacement-image-model-config";
 import {
   compositeReplacementWithReferenceLocks,
@@ -30,6 +29,7 @@ import {
 } from "@/lib/db/queries";
 import { uploadFile } from "@/lib/storage/service";
 import { bufferToArrayBuffer } from "./persistence";
+import { isVideoProviderType } from "./video-models";
 import type { AgentPresetMessageImagePart } from "./agent-scene-workflow";
 import type { PostRequestBody } from "../schema";
 
@@ -2161,10 +2161,22 @@ export async function resolveDirectReplacementModelRef(params: {
   models?: Awaited<ReturnType<typeof getEnabledAiModelsWithProvider>>;
 }) {
   const models = params.models || (await getEnabledAiModelsWithProvider(false));
+  const imageModels = models.filter(
+    ({ model, provider }) =>
+      model.supportsImageGen &&
+      !model.isSubModel &&
+      !isVideoProviderType(provider?.type, model),
+  );
   const configuredModelSetting = await getSystemSetting({
     key: DETAIL_REPLACEMENT_IMAGE_MODEL_CONFIG_KEY,
   }).catch(() => null);
-  const configuredModel = findConfiguredDetailReplacementImageModel(models, configuredModelSetting?.value);
+  const configuredModelId = normalizeDetailReplacementImageModelConfig(
+    configuredModelSetting?.value,
+  ).modelId;
+  const configuredModel = imageModels.find(
+    ({ model }) =>
+      model.id === configuredModelId || model.modelId === configuredModelId,
+  );
   if (configuredModel) {
     return configuredModel.model.id;
   }
@@ -2178,7 +2190,6 @@ export async function resolveDirectReplacementModelRef(params: {
     return routedModel;
   }
 
-  const imageModels = models.filter(isDetailReplacementImageModel);
   const preferred =
     imageModels.find(({ model }) => model.isDefault) ||
     imageModels.find(({ provider }) => String(provider?.type || "").includes("image")) ||

app/(chat)/api/chat/_lib/image-generation-failure.ts

@@ -1,47 +0,0 @@
-import { saveMessages } from "@/lib/db/queries";
-import type { ImageGenerationStatusStreamPayload } from "@/lib/canvas/image-generation-status";
-import { formatRequestFailure, getRequestFailureDetails } from "@/lib/request-error";
-import { safeWriteStreamChunk, type StreamWriter, writeAssistantTextChunk, writeStructuredDataChunk } from "./stream";
-
-export async function reportImageGenerationFailure(params: {
-  writer: StreamWriter;
-  chatId: string;
-  userMessageId: string;
-  messageId: string;
-  error: unknown;
-  label: string;
-}) {
-  const failure = getRequestFailureDetails(params.error, "图片生成失败");
-  const status: ImageGenerationStatusStreamPayload = {
-    phase: "failed",
-    userMessageId: params.userMessageId,
-    requestId: params.messageId,
-    failure,
-  };
-  const text = formatRequestFailure(failure, params.messageId);
-  const parts = [
-    { type: "text", text },
-    { type: "data-imageGenerationStatus", data: status },
-  ];
-  writeStructuredDataChunk(params.writer, "data-imageGenerationStatus", status, `${params.label}:status`);
-  safeWriteStreamChunk(params.writer, {
-    type: "data-appendMessage",
-    data: JSON.stringify({ id: params.messageId, role: "assistant", parts }),
-  }, params.label);
-  writeAssistantTextChunk(params.writer, "<!-- IMAGE_GENERATION_END -->", `${params.label}:end`);
-  // History carries the same terminal state when the browser loses the stream.
-  await saveMessages({ messages: [{
-    id: params.messageId,
-    chatId: params.chatId,
-    role: "assistant",
-    parts,
-    attachments: [],
-    createdAt: new Date(),
-    videoStorageStatus: null,
-    temporaryVideoUrl: null,
-    permanentVideoUrl: null,
-    archivedAt: null,
-    videoMetadata: null,
-  }] });
-  return text;
-}

app/(chat)/api/chat/_lib/stream.ts

@@ -208,7 +208,6 @@ export function writeImageGenerationStatusChunk(
   writer: StreamWriter,
   params: {
     phase: "queued" | "processing" | "finalizing" | "failed" | "completed";
-    userMessageId?: string;
     providerType?: string | null;
     modelName?: string | null;
     imageCount?: number | null;
@@ -224,7 +223,6 @@ export function writeImageGenerationStatusChunk(
     "data-imageGenerationStatus",
     {
       phase: params.phase,
-      userMessageId: params.userMessageId,
       providerType: normalizeImageLoadingProviderType(params.providerType),
       modelName: String(params.modelName || "").trim() || undefined,
       imageCount:

app/(chat)/api/chat/route.ts

@@ -426,8 +426,6 @@ import {
   type VideoModeType,
 } from "./_lib/video-models";
 
-import { reportImageGenerationFailure } from "./_lib/image-generation-failure";
-
 const chatApiLogger = createLogger("chat.route");
 const createUIMessageStream: typeof createAiUIMessageStream = (options) =>
   createAiUIMessageStream({ ...options, execute: (writer) => trackRuntimeWork(() => options.execute(writer)) });
@@ -448,6 +446,16 @@ function assertGeneratedImageMarkdownHasImage(markdown: string, modelLabel: stri
   throw new Error(`${modelLabel} 未返回可用图片：${reason.slice(0, 160)}`);
 }
 
+function getPublicImageGenerationErrorText(error: unknown, requestId: string) {
+  const message = error instanceof Error ? error.message : String(error || "");
+  const publicMessage = getUserFacingImageGenerationErrorMessage(error);
+  if (!message || (publicMessage === message && INTERNAL_IMAGE_GENERATION_FAILURE_PATTERN.test(message))) {
+    return `图片生成失败，请稍后重试。若连续失败，请联系管理员。\n\n请求编号：${requestId}`;
+  }
+  return `${publicMessage}\n\n请求编号：${requestId}`;
+}
+
+
 const AGENT_REPLACEMENT_PARALLEL_WORKER_COUNT = Math.max(
   1,
   Math.min(8, Number(process.env.AGENT_REPLACEMENT_PARALLEL_WORKER_COUNT || 6) || 6),
@@ -5680,7 +5688,6 @@ export async function POST(request: Request) {
             writeImageGenerationStatusChunk(
               writer,
               {
-                userMessageId: message.id,
                 phase: "processing",
                 modelName: resolvedModelRef,
                 imageCount: replacementReferences.length,
@@ -6023,7 +6030,6 @@ export async function POST(request: Request) {
                           writeImageGenerationStatusChunk(
                             writer,
                             {
-                              userMessageId: message.id,
                               phase:
                                 queueStatus.status === "running"
                                   ? "processing"
@@ -6179,7 +6185,6 @@ export async function POST(request: Request) {
             writeImageGenerationStatusChunk(
               writer,
               {
-                userMessageId: message.id,
                 phase: successCount > 0 ? "completed" : "failed",
                 modelName: resolvedModelDisplayName,
                 imageCount: successCount,
@@ -6412,7 +6417,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   modelName:
                     selectedAgentPreset.defaultModel?.displayName ||
@@ -6964,7 +6968,6 @@ export async function POST(request: Request) {
                             writeImageGenerationStatusChunk(
                               writer,
                               {
-                                userMessageId: message.id,
                                 phase:
                                   queueStatus.status === "running"
                                     ? "processing"
@@ -7290,7 +7293,6 @@ export async function POST(request: Request) {
                         writeImageGenerationStatusChunk(
                           writer,
                           {
-                            userMessageId: message.id,
                             phase:
                               queueStatus.status === "running"
                                 ? "processing"
@@ -7519,7 +7521,6 @@ export async function POST(request: Request) {
                           writeImageGenerationStatusChunk(
                             writer,
                             {
-                              userMessageId: message.id,
                               phase:
                                 queueStatus.status === "running"
                                   ? "processing"
@@ -7838,7 +7839,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: successCount > 0 ? "completed" : "failed",
                   modelName:
                     selectedAgentPreset.defaultModel?.displayName ||
@@ -8048,7 +8048,6 @@ export async function POST(request: Request) {
             writeImageGenerationStatusChunk(
               writer,
               {
-                userMessageId: message.id,
                 phase: "processing",
                 providerType: requestedModelProviderType,
                 modelName: finalModelId,
@@ -8087,7 +8086,6 @@ export async function POST(request: Request) {
                   writeImageGenerationStatusChunk(
                     writer,
                     {
-                      userMessageId: message.id,
                       phase: "processing",
                       ...directImageStatusPayload,
                     },
@@ -8180,7 +8178,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: requestedModelProviderType,
                   modelName: directImageResult.model,
@@ -8201,16 +8198,42 @@ export async function POST(request: Request) {
             );
           } catch (directToolError) {
             chatApiLogger.error("[Chat API] Direct agent image generation failed:", directToolError);
-            const errorMessage = await reportImageGenerationFailure({
+            const errorMessage = getDirectAgentToolErrorMessage(
-              writer, chatId: id, userMessageId: message.id,
+              "generate_image",
-              messageId: assistantMessageId, error: directToolError,
+              directToolError,
-              label: "agent:generate_image:error",
+            );
+            await saveAssistantTextOnlyMessage({
+              chatId: id,
+              messageId: assistantMessageId,
+              text: errorMessage,
             });
+            writeAssistantTextChunk(
+              writer,
+              errorMessage,
+              "agent:generate_image:error",
+              assistantMessageId,
+            );
+            if (contextPayload?.source === "canvas") {
+              writeImageGenerationStatusChunk(
+                writer,
+                {
+                  phase: "failed",
+                  providerType: requestedModelProviderType,
+                  modelName: finalModelId,
+                },
+                "agent:generate_image:status-failed",
+              );
+            }
             writeAgentProgressChunk(
               writer,
               buildDirectAgentImageGenerateFailedProgress(errorMessage),
               "agent:generate_image:progress-failed",
             );
+            writeAssistantTextChunk(
+              writer,
+              "<!-- IMAGE_GENERATION_END -->",
+              "agent:generate_image:end-error",
+            );
           } finally {
             stopDirectImageKeepalive();
             if (stopDirectImageStatus) {
@@ -9172,7 +9195,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   providerType: (languageModel as any).provider,
                   modelName: currentModelConfig?.displayName || actualModelId,
@@ -9260,7 +9282,6 @@ export async function POST(request: Request) {
                     chatApiLogger.warn("[Chat API] Record Gemini fallback health failure failed:", healthError);
                   });
                   chatApiLogger.error(`[Chat API] ❌ Fallback model ${candidate.model.displayName} (${candidate.provider.type}) failed:`, fallbackError);
-                  if (!shouldFailoverAiModelError(fallbackError)) throw fallbackError;
                 }
               }
 
@@ -9335,7 +9356,6 @@ export async function POST(request: Request) {
                       chatApiLogger.warn("[Chat API] Record Gemini cross-provider health failure failed:", healthError);
                     });
                     chatApiLogger.error(`[Chat API] ❌ Gemini cross-provider fallback model ${candidate.model.displayName} (${candidate.provider.type}) failed:`, fallbackError);
-                    if (!shouldFailoverAiModelError(fallbackError)) throw fallbackError;
                   }
                 }
               }
@@ -9403,7 +9423,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: (languageModel as any).provider,
                   modelName: usedModelDisplayName,
@@ -9468,14 +9487,6 @@ export async function POST(request: Request) {
             }
           } catch (error) {
             chatApiLogger.error("[Chat API] Gemini generation error:", error);
-            let finalError = error;
-            if (!shouldFailoverAiModelError(error)) {
-              await reportImageGenerationFailure({
-                writer, chatId: id, userMessageId: message.id,
-                messageId: generateUUID(), error, label: "gemini:error",
-              });
-              return;
-            }
             chatApiLogger.info("[Chat API] Attempting failover to Volcano Vision...");
             
             // 故障转移：尝试使用火山引擎模型
@@ -9553,7 +9564,6 @@ export async function POST(request: Request) {
                       writeImageGenerationStatusChunk(
                         writer,
                         {
-                          userMessageId: message.id,
                           phase: "completed",
                           providerType: "volcano-vision",
                           modelName: volcanoModel.model.displayName || volcanoModel.model.modelId,
@@ -9619,14 +9629,47 @@ export async function POST(request: Request) {
               chatApiLogger.info("[Chat API] No Volcano Vision model available for failover");
             } catch (failoverError) {
               chatApiLogger.error("[Chat API] Failover to Volcano Vision also failed:", failoverError);
-              finalError = failoverError;
             }
             
             // 如果故障转移也失败，返回错误消息
-            await reportImageGenerationFailure({
+            const errorMessageId = generateUUID();
-              writer, chatId: id, userMessageId: message.id,
+            const errorText = getPublicImageGenerationErrorText(error, errorMessageId);
-              messageId: generateUUID(), error: finalError, label: "gemini:error",
+            writeAssistantTextChunk(
+              writer,
+              errorText,
+              "gemini:error",
+              errorMessageId,
+            );
+            
+            // 🆕 图片生成结束标记（失败）
+            writeAssistantTextChunk(
+              writer,
+              "<!-- IMAGE_GENERATION_END -->",
+              "gemini:image-end-failed",
+            );
+            
+            // 尝试保存错误消息
+            try {
+              await saveMessages({
+                messages: [
+                  {
+                    id: errorMessageId,
+                    chatId: id,
+                    role: "assistant",
+                    parts: [{ type: "text", text: errorText }],
+                    attachments: [],
+                    createdAt: new Date(),
+                    videoStorageStatus: null,
+                    temporaryVideoUrl: null,
+                    permanentVideoUrl: null,
+                    archivedAt: null,
+                    videoMetadata: null,
+                  },
+                ],
               });
+            } catch (saveError) {
+              chatApiLogger.error("[Chat API] Failed to save error message:", saveError);
+            }
           } finally {
             stopKeepalive?.();
           }
@@ -9824,7 +9867,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "queued",
                   providerType: "fal-image",
                   modelName: modelDisplayName,
@@ -9931,7 +9973,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   providerType: (languageModel as any).provider,
                   modelName: alibabaModelConfig?.displayName || actualModelId,
@@ -10029,7 +10070,6 @@ export async function POST(request: Request) {
                     chatApiLogger.warn("[Chat API] Record image fallback health failure failed:", healthError);
                   });
                   chatApiLogger.error(`[Chat API] ❌ Alibaba fallback model ${candidate.model.displayName} (${candidate.provider.type}) failed:`, fallbackError);
-                  if (!shouldFailoverAiModelError(fallbackError)) throw fallbackError;
                 }
               }
 
@@ -10164,7 +10204,6 @@ export async function POST(request: Request) {
                       chatApiLogger.warn("[Chat API] Record image cross-provider health failure failed:", healthError);
                     });
                     chatApiLogger.error(`[Chat API] ❌ Cross-provider failover failed: ${candidate.model.displayName} (${candidate.provider.type})`, crossError);
-                    if (!shouldFailoverAiModelError(crossError)) throw crossError;
                   }
                 }
               }
@@ -10232,7 +10271,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: (languageModel as any).provider,
                   modelName: usedModelDisplayName,
@@ -10297,10 +10335,43 @@ export async function POST(request: Request) {
             chatApiLogger.error("[Chat API] Alibaba generation error:", error);
             
             // 返回错误消息
-            await reportImageGenerationFailure({
+            const errorMessageId = generateUUID();
-              writer, chatId: id, userMessageId: message.id,
+            const errorText = getPublicImageGenerationErrorText(error, errorMessageId);
-              messageId: generateUUID(), error, label: "alibaba:error",
+            writeAssistantTextChunk(
+              writer,
+              errorText,
+              "alibaba:error",
+              errorMessageId,
+            );
+            
+            // 🆕 图片生成结束标记（失败）
+            writeAssistantTextChunk(
+              writer,
+              "<!-- IMAGE_GENERATION_END -->",
+              "alibaba:image-end-failed",
+            );
+            
+            try {
+              await saveMessages({
+                messages: [
+                  {
+                    id: errorMessageId,
+                    chatId: id,
+                    role: "assistant",
+                    parts: [{ type: "text", text: errorText }],
+                    attachments: [],
+                    createdAt: new Date(),
+                    videoStorageStatus: null,
+                    temporaryVideoUrl: null,
+                    permanentVideoUrl: null,
+                    archivedAt: null,
+                    videoMetadata: null,
+                  },
+                ],
               });
+            } catch (saveError) {
+              chatApiLogger.error("[Chat API] Failed to save error message:", saveError);
+            }
           } finally {
             stopKeepalive?.();
           }
@@ -10429,7 +10500,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   providerType: "volcano-vision",
                   modelName: volcanoModelConfig?.displayName || actualModelId,
@@ -10475,7 +10545,6 @@ export async function POST(request: Request) {
                     setImageFallbackModelCooldown(candidate.model.id, fallbackErrorMessage);
                   }
                   chatApiLogger.error(`[Chat API] ❌ Volcano fallback model ${candidate.model.displayName} (${candidate.provider.type}) failed:`, fallbackError);
-                  if (!shouldFailoverAiModelError(fallbackError)) throw fallbackError;
                 }
               }
               if (!fallbackSuccess) {
@@ -10642,7 +10711,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: "volcano-vision",
                   modelName: usedModelDisplayName,
@@ -10707,10 +10775,44 @@ export async function POST(request: Request) {
             }
           } catch (error) {
             chatApiLogger.error("[Chat API] Volcano Vision generation error:", error);
-            await reportImageGenerationFailure({
+            const errorMessageId = generateUUID();
-              writer, chatId: id, userMessageId: message.id,
+            const errorText = getPublicImageGenerationErrorText(error, errorMessageId);
-              messageId: generateUUID(), error, label: "volcano:error",
+            writeAssistantTextChunk(
+              writer,
+              errorText,
+              "volcano:error",
+              errorMessageId,
+            );
+            
+            // 🆕 图片生成结束标记（失败）
+            writeAssistantTextChunk(
+              writer,
+              "<!-- IMAGE_GENERATION_END -->",
+              "volcano:image-end-failed",
+            );
+            
+            // 尝试保存错误消息
+            try {
+              await saveMessages({
+                messages: [
+                  {
+                    id: errorMessageId,
+                    chatId: id,
+                    role: "assistant",
+                    parts: [{ type: "text", text: errorText }],
+                    attachments: [], // 必须提供 attachments 字段
+                    createdAt: new Date(),
+                    videoStorageStatus: null,
+                    temporaryVideoUrl: null,
+                    permanentVideoUrl: null,
+                    archivedAt: null,
+                    videoMetadata: null,
+                  },
+                ],
               });
+            } catch (saveError) {
+              chatApiLogger.error("[Chat API] Failed to save error message:", saveError);
+            }
           } finally {
             stopKeepalive?.();
           }
@@ -11283,7 +11385,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 dataStream as unknown as StreamWriter,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   providerType: currentModelConfig?.providerId ? resolvedProviderType || providerType : providerType,
                   modelName: currentModelConfig?.displayName || actualModelId,
@@ -11375,7 +11476,6 @@ export async function POST(request: Request) {
                     setImageFallbackModelCooldown(candidate.model.id, fallbackErrorMessage);
                   }
                   chatApiLogger.error(`[Chat API] ❌ OpenAI-compatible fallback model ${candidate.model.displayName} (${candidate.provider.type}) failed:`, fallbackError);
-                  if (!shouldFailoverAiModelError(fallbackError)) throw fallbackError;
                 }
               }
 
@@ -11547,7 +11647,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 dataStream as unknown as StreamWriter,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: resolvedProviderType || providerType,
                   modelName: usedModelDisplayName,
@@ -11607,10 +11706,54 @@ export async function POST(request: Request) {
           } catch (error) {
             chatApiLogger.error("[Chat API] OpenAI-compatible image model generation error:", error);
 
-            await reportImageGenerationFailure({
+            const errorMessageId = generateUUID();
-              writer: dataStream as unknown as StreamWriter,
+            const errorText = getPublicImageGenerationErrorText(error, errorMessageId);
-              chatId: id, userMessageId: message.id,
+
-              messageId: generateUUID(), error, label: "openai-compat:error",
+            dataStream.write({
+              type: "data-appendMessage",
+              data: JSON.stringify({
+                id: errorMessageId,
+                role: "assistant",
+                parts: [{ type: "text", text: errorText }],
+              }),
+            });
+	            dataStream.write({
+	              type: "data-appendMessage",
+	              data: JSON.stringify({
+	                id: generateUUID(),
+	                role: "assistant",
+	                parts: [{ type: "text", text: "<!-- IMAGE_GENERATION_END -->" }],
+	              }),
+	            });
+            if (contextPayload?.source === "canvas") {
+              writeImageGenerationStatusChunk(
+                dataStream as unknown as StreamWriter,
+                {
+                  phase: "failed",
+                  providerType: resolvedProviderType || providerType,
+                  modelName: currentModelConfig?.displayName || actualModelId,
+                  imageCount: effectiveImageParams?.imageCount || 1,
+                },
+                "openai-compat:image-status-failed",
+              );
+            }
+
+            await saveMessages({
+              messages: [
+                {
+                  id: errorMessageId,
+                  role: "assistant",
+                  parts: [{ type: "text", text: errorText }],
+                  createdAt: new Date(),
+                  attachments: [],
+                  chatId: id,
+                  videoStorageStatus: null,
+                  temporaryVideoUrl: null,
+                  permanentVideoUrl: null,
+                  archivedAt: null,
+                  videoMetadata: null,
+                },
+              ],
             });
             return;
           }

app/(chat)/api/models/route.ts

@@ -10,10 +10,6 @@ import {
 } from "@/lib/db/queries";
 import { getAiModelFrontendAvailability } from "@/lib/ai/model-frontend-availability";
 import { buildVideoToolCapability } from "@/lib/ai/video-tool-capability";
-import {
-  DETAIL_REPLACEMENT_IMAGE_MODEL_CONFIG_KEY,
-  findConfiguredDetailReplacementImageModel,
-} from "@/lib/ai/detail-replacement-image-model-config";
 import {
   isImageGenerationModelDescriptor,
   isVideoModelDescriptor,
@@ -161,17 +157,10 @@ export async function GET(request: Request) {
       : await getEnabledAiModelsWithProvider(false, true);
     const agentModelWithProvider = await getAgentAiModelWithProvider();
     const defaultModel = await getDefaultAiModel();
-    const [siteSettings, agentWorkflowUiConfigSetting, detailReplacementModelSetting] = await Promise.all([
+    const [siteSettings, agentWorkflowUiConfigSetting] = await Promise.all([
       getSiteSettings(),
       getSystemSetting({ key: AGENT_WORKFLOW_UI_CONFIG_KEY }).catch(() => null),
-      getSystemSetting({ key: DETAIL_REPLACEMENT_IMAGE_MODEL_CONFIG_KEY }).catch(() => null),
     ]);
-    const detailReplacementModel = findConfiguredDetailReplacementImageModel(
-      includeUnavailable ? modelsWithProvider.filter(({ model, provider }) =>
-        provider.isEnabled && model.isEnabled && getAiModelFrontendAvailability(model).selectable !== false
-      ) : modelsWithProvider,
-      detailReplacementModelSetting?.value,
-    );
     type ModelWithProvider = (typeof modelsWithProvider)[number];
     const serializeModel = ({ model, provider }: ModelWithProvider) => ({
       id: model.id,
@@ -320,7 +309,6 @@ export async function GET(request: Request) {
         : null,
       agentWorkflowDefaultModelId: agentWorkflowDefaultModel?.model.id || null,
       agentWorkflowConfiguredModels,
-      detailReplacementModel: detailReplacementModel ? serializeModel(detailReplacementModel) : null,
       agentModel: agentModelWithProvider
         ? {
             id: agentModelWithProvider.model.id,

app/api/agent-workflow/template-prompts/route.ts

@@ -1,20 +0,0 @@
-import { z } from "zod";
-import { auth } from "@/app/(auth)/auth";
-import { resolveAgentWorkflowComposerSelections } from "@/lib/agents/workflow-composer";
-import { AGENT_WORKFLOW_UI_CONFIG_KEY, normalizeAgentWorkflowUiConfig } from "@/lib/agents/workflow-ui-config";
-import { getSystemSetting } from "@/lib/db/queries";
-
-const selectionsSchema = z.record(z.string().max(160), z.string().max(8192))
-  .refine((selections) => Object.keys(selections).length <= 100);
-
-export async function POST(request: Request) {
-  const session = await auth();
-  if (!session?.user?.id) return Response.json({ error: "请先登录" }, { status: 401 });
-
-  const selections = selectionsSchema.safeParse(await request.json().catch(() => null));
-  if (!selections.success) return Response.json({ error: "风格模板选择无效" }, { status: 400 });
-
-  const setting = await getSystemSetting({ key: AGENT_WORKFLOW_UI_CONFIG_KEY });
-  const config = normalizeAgentWorkflowUiConfig(setting?.value);
-  return Response.json({ selections: resolveAgentWorkflowComposerSelections({ config, selections: selections.data }) });
-}

app/api/agents/detail-replacement/batches/route.ts

@@ -4,7 +4,6 @@ import { auth } from "@/app/(auth)/auth";
 import { db } from "@/lib/db";
 import { canvasImageTask, canvasProject, message } from "@/lib/db/schema";
 import { extractAgentProjectStateFromCanvasData, isAgentProjectRow } from "@/lib/agents/agent-project-compat";
-import { MAX_DETAIL_REPLACEMENT_REFERENCES } from "@/lib/agents/mode-workspace-state";
 import {
   createCanvasImageTask,
   enqueueCanvasImageTask,
@@ -147,14 +146,6 @@ export async function POST(request: Request) {
         .map((item) => [String(item.id), String(item.imageUrl)]),
     );
     const requested = Array.isArray(body.references) ? body.references : [];
-    if (requested.length === 0) {
-      return NextResponse.json({ error: "请先选择详情参考图" }, { status: 400 });
-    }
-    if (requested.length > MAX_DETAIL_REPLACEMENT_REFERENCES) {
-      return NextResponse.json({
-        error: `本次选中了 ${requested.length} 张详情参考图，一次最多替换 ${MAX_DETAIL_REPLACEMENT_REFERENCES} 张，请减少本次选择后重试`,
-      }, { status: 400 });
-    }
     const references: DetailReplacementBatchReference[] = requested.map((raw: unknown) => {
       const item = raw && typeof raw === "object" ? raw as Record<string, unknown> : {};
       return {
@@ -169,6 +160,7 @@ export async function POST(request: Request) {
       };
     });
     if (
+      references.length === 0 || references.length > 40 ||
       new Set(references.map((item) => item.id)).size !== references.length ||
       references.some((item) => !item.id || knownReferences.get(item.id) !== item.imageUrl)
     ) {
@@ -195,12 +187,6 @@ export async function POST(request: Request) {
     if (!model || model === "auto" || !models.some((entry) => entry.model.id === model)) {
       return NextResponse.json({ error: "详情替换模型不可用，请检查模型配置" }, { status: 400 });
     }
-    if (typeof body.expectedModelId === "string" && body.expectedModelId !== model) {
-      return NextResponse.json({
-        code: "DETAIL_REPLACEMENT_MODEL_CHANGED",
-        error: "详情替换模型已更新，请确认页面显示的模型后重新提交",
-      }, { status: 409 });
-    }
     const quota = await checkUserImageQuota(session.user.id);
     if (!quota.allowed) {
       return NextResponse.json({ error: "本月图片生成配额已用完" }, { status: 429 });

app/api/app-version/route.ts

@@ -1,8 +0,0 @@
-import { NextResponse } from "next/server";
-
-export const dynamic = "force-dynamic";
-export function GET() {
-  return NextResponse.json({ version: process.env.NEXT_PUBLIC_APP_RELEASE || "development" }, {
-    headers: { "Cache-Control": "no-store, max-age=0" },
-  });
-}

app/api/canvas/[id]/capabilities/route.ts

@@ -2,7 +2,6 @@ import { NextResponse } from "next/server";
 import { ZodError } from "zod";
 
 import { auth } from "@/app/(auth)/auth";
-import { RmbgServiceError } from "@/lib/ai/rmbg/service";
 import { canvasCapabilityClientCommandSchema } from "@/lib/canvas/capabilities/client-command";
 import { CanvasCapabilityRuntimeError } from "@/lib/canvas/capabilities/context";
 import { getCanvasCapabilityManifest } from "@/lib/canvas/capabilities/registry";
@@ -91,7 +90,7 @@ export async function POST(
     const failure = getRequestFailureDetails(error, "执行画布能力失败");
     return NextResponse.json(
       { success: false, error: formatRequestFailure(failure, requestId), failure, requestId },
-      { status: error instanceof RmbgServiceError ? error.status : 500 }
+      { status: 500 }
     );
   }
 }

app/api/canvas/agent-chat/route.ts

@@ -329,7 +329,6 @@ export async function POST(request: Request) {
                 withModel,
                 imageSize: snapshot.imagePreferences?.parameters?.imageSize,
                 imagePreferences: snapshot.imagePreferences,
-                priorCalls: snapshot.calls,
                 preferredModelId: snapshot.imagePreferences?.modelId || (preset?.type === "image" ? preset.defaultModelId || undefined : undefined),
                 operationSelectedNodeIds: selectedNodeIds,
                 objective: [snapshot.objective, ...snapshot.inputs.map((input) => input.text)].join(

app/api/canvas/box-cutout/route.ts

@@ -1,15 +1,100 @@
-import { NextResponse } from "next/server";
+import { NextRequest, NextResponse } from "next/server";
 
 import { auth } from "@/app/(auth)/auth";
-import { executeBoxCutoutPOST } from "@/lib/canvas/operations/box-cutout";
+import {
+  BoxCutoutServiceError,
+  executeBoxCutoutJob,
+} from "@/lib/ai/box-cutout/service";
+import { RmbgServiceError } from "@/lib/ai/rmbg/service";
+import { getPointsSystemConfig } from "@/lib/db/queries";
+import { prepareFeaturePointsCharge } from "@/lib/points/feature-charge";
+import { getImageToolCreditCost } from "@/lib/points/config";
 
 export const runtime = "nodejs";
 export const maxDuration = 60;
 
-export async function POST(request: Request) {
+type BoxCutoutRequest = {
+  imageUrl?: string;
+  cropRect?: {
+    x?: number;
+    y?: number;
+    width?: number;
+    height?: number;
+  };
+  paddingRatio?: number;
+  prompt?: string;
+  chatId?: string | null;
+  messageId?: string | null;
+  skipGallerySave?: boolean;
+  sourceNodeId?: string;
+};
+
+export async function POST(request: NextRequest) {
+  try {
     const session = await auth();
     if (!session?.user?.id) {
       return NextResponse.json({ success: false, error: "未授权，请先登录" }, { status: 401 });
     }
-  return executeBoxCutoutPOST(request, session.user.id);
+
+    const body = (await request.json()) as BoxCutoutRequest;
+    const rawImageUrl = String(body.imageUrl || "").trim();
+    if (!rawImageUrl) {
+      return NextResponse.json({ success: false, error: "缺少 imageUrl 参数" }, { status: 400 });
+    }
+
+    const resolvedImageUrl = new URL(rawImageUrl, request.url).toString();
+    const pointsConfig = await getPointsSystemConfig();
+    const pointsCharge = await prepareFeaturePointsCharge({
+      userId: session.user.id,
+      unitCost: getImageToolCreditCost(pointsConfig, "box-cutout"),
+      reason: "image_box_cutout",
+      modelId: "box-cutout",
+      note: "框选抠图消耗积分",
+      pointsConfig,
+    });
+    if (!pointsCharge.ok) {
+      return NextResponse.json(pointsCharge.payload, { status: pointsCharge.status });
+    }
+
+    const result = await executeBoxCutoutJob({
+      userId: session.user.id,
+      imageUrl: resolvedImageUrl,
+      cropRect: body.cropRect || {},
+      paddingRatio: body.paddingRatio,
+      prompt: body.prompt || "框选抠图",
+      chatId: body.chatId || null,
+      messageId: body.messageId || null,
+      skipGallerySave: body.skipGallerySave === true,
+      sourceNodeId: body.sourceNodeId,
+    });
+
+    if (pointsCharge.chargeable) {
+      try {
+        await pointsCharge.consume();
+      } catch (pointsError) {
+        console.error("[Points] Failed to consume box cutout points:", pointsError);
+      }
+    }
+
+    return NextResponse.json(result);
+  } catch (error) {
+    if (error instanceof BoxCutoutServiceError || error instanceof RmbgServiceError) {
+      return NextResponse.json(
+        {
+          success: false,
+          error: error.detail || error.message,
+        },
+        { status: error.status },
+      );
+    }
+
+    console.error("[BoxCutout] 处理失败:", error);
+    return NextResponse.json(
+      {
+        success: false,
+        error: error instanceof Error ? error.message : "框选抠图失败",
+      },
+      { status: 500 },
+    );
+  }
 }

app/api/canvas/download-zip-task/route.ts

@@ -10,13 +10,11 @@ import JSZip from "jszip";
 import { auth } from "@/app/(auth)/auth";
 import { fetchCanvasDownloadAsset } from "@/lib/canvas/photoshop-safe-download";
 import { publishCanvasZip } from "@/lib/storage/canvas-zip-delivery";
-import { trackRuntimeWork } from "@/lib/observability/active-work";
 export const runtime = "nodejs";
 export const maxDuration = 300;
 type DownloadFileItem = { url: string; name?: string };
 const MAX_DOWNLOAD_FILES = 200;
-const TASK_TTL_MS = 24 * 60 * 60_000;
+const TASK_TTL_MS = 60 * 60_000;
-const PREPARATION_TTL_MS = 6 * 60 * 60_000;
 const running = (globalThis as typeof globalThis & { __canvasZipRunning?: Set<string> });
 const active = running.__canvasZipRunning ??= new Set<string>();
 function sanitizeFolderName(value: string): string {
@@ -100,12 +98,8 @@ async function processTask(id: string, userId: string, requestOrigin: string, co
     task = await loadZipTask(id, userId);
     if (!task || task.status === "completed" || task.status === "failed") return;
     await assertZipDiskSpace();
-    const existingZip = task.zipFile && task.contentDisposition && await stat(task.zipFile.path).catch(() => null);
+    task.status = "running"; task.stage = "正在准备原图"; task.updatedAt = Date.now();
-    const reuseZip = existingZip && existingZip.size === task.zipFile!.bytes;
-    task.status = "running"; task.stage = reuseZip ? "正在准备加速下载" : "正在准备原图"; task.updatedAt = Date.now();
     await saveZipTask(task);
-    if (!reuseZip) {
-      delete task.zipFile; delete task.contentDisposition; delete task.cdnUrl;
     // Stage each image on disk, not all PNG buffers in the web process heap.
     // A restart resumes from these files using the current owner's session.
     let cursor = 0;
@@ -143,28 +137,24 @@ async function processTask(id: string, userId: string, requestOrigin: string, co
     task.stage = "正在生成完整 ZIP 文件"; await saveZipTask(task);
     task.zipFile = await writeDownloadZip(zip, task.id, percent => { task!.compressPercent = percent; });
     task.contentDisposition = buildContentDisposition(task.folderName);
-    }
     task.stage = "正在准备下载链接"; await saveZipTask(task);
-    const cdn = await publishCanvasZip({ id: task.id, ...task.zipFile!, disposition: task.contentDisposition!,
+    try {
-      onProgress: async bytes => {
+      const cdn = await publishCanvasZip({ id: task.id, ...task.zipFile, disposition: task.contentDisposition });
-        task!.stage = `正在传送至七牛 ${Math.round(bytes / task!.zipFile!.bytes * 100)}%`;
-        task!.updatedAt = Date.now(); await saveZipTask(task!);
-      } });
       if (cdn) {
         task.cdnObject = { storageConfigId: cdn.storageConfigId, key: cdn.key };
-      if (!cdn.url) throw new Error(cdn.error || `ZIP 已打包，但加速下载未就绪，请再次点击下载继续传送原 ZIP。下载编号：${task.id}`);
+        if (cdn.url) task.cdnUrl = cdn.url;
-      task.cdnUrl = cdn.url;
       }
+    } catch { console.warn("[CanvasDownloadZipTask] CDN delivery unavailable; complete local ZIP retained", { taskId: id }); }
     task.status = "completed"; task.stage = task.failedCount ? `已打包 ${task.successCount} 张，${task.failedCount} 张未能读取` : "打包完成";
     task.compressPercent = 100; task.updatedAt = Date.now(); task.expiresAt = Date.now() + TASK_TTL_MS;
     await saveZipTask(task);
     // The complete ZIP is enough for retries; release staged duplicate bytes.
     await Promise.all(task.files.filter(f => f.prepared).map(f => rm(join(zipTaskPath(id), f.prepared!), { force: true }).catch(() => undefined)));
     console.info("[CanvasDownloadZipTask] Complete", { taskId: id, count: task.successCount, failed: task.failedCount,
-      bytes: task.zipFile!.bytes, delivery: task.cdnUrl ? "cdn" : "local" });
+      bytes: task.zipFile.bytes, delivery: task.cdnUrl ? "cdn" : "local" });
   } catch (error) {
     if (task) {
-      task.status = "failed"; task.stage = task.zipFile ? "ZIP 已打包，加速下载未就绪" : "打包未完成";
+      task.status = "failed"; task.stage = "打包未完成";
       task.error = error instanceof Error ? error.message : "打包失败，请稍后重试";
       task.updatedAt = Date.now(); task.expiresAt = Date.now() + TASK_TTL_MS; await saveZipTask(task).catch(() => undefined);
     }
@@ -172,7 +162,7 @@ async function processTask(id: string, userId: string, requestOrigin: string, co
   } finally { await release?.().catch(() => undefined); active.delete(id); }
 }
 function schedule(task: ZipTask, request: NextRequest) {
-  const run = () => trackRuntimeWork(() => processTask(task.id, task.userId, getRequestOrigin(request), request.headers.get("cookie") || ""));
+  const run = () => processTask(task.id, task.userId, getRequestOrigin(request), request.headers.get("cookie") || "");
   after(run);
 }
 export async function POST(request: NextRequest) {
@@ -197,17 +187,14 @@ export async function POST(request: NextRequest) {
       const now = Date.now();
       task = { id, userId: session.user.id, folderName: sanitizeFolderName(String(body.folderName || "")), files,
         totalCount: files.length, processedCount: 0, successCount: 0, failedCount: 0, compressPercent: 0,
-        status: "pending", stage: "等待后台准备", createdAt: now, updatedAt: now, expiresAt: now + PREPARATION_TTL_MS };
+        status: "pending", stage: "等待后台准备", createdAt: now, updatedAt: now, expiresAt: now + 6 * TASK_TTL_MS };
       await saveZipTask(task);
-    } else if ((task.status === "failed" || task.status === "completed" && task.cdnObject && !task.cdnUrl) && body.retry === true) {
+    } else if (task.status === "failed" && body.retry === true) {
       task.status = "pending"; task.error = undefined;
       await assertZipTaskCapacity(session.user.id);
-      if (!task.zipFile) {
       for (const file of task.files) delete file.error;
       task.processedCount = task.successCount = task.files.filter(file => file.prepared).length;
-        task.failedCount = 0;
+      task.failedCount = 0; task.updatedAt = Date.now(); task.expiresAt = Date.now() + 6 * TASK_TTL_MS;
-      }
-      task.updatedAt = Date.now(); task.expiresAt = Date.now() + PREPARATION_TTL_MS;
       await saveZipTask(task);
     }
     if (task.status === "pending" || task.status === "running") schedule(task, request);

app/api/canvas/local-edit/route.ts

@@ -976,8 +976,7 @@ export async function POST(request: NextRequest) {
     const annotatedFilename = `canvas-local-edit-${Date.now()}-${Math.random().toString(36).slice(2, 8)}.png`;
     const annotatedUpload = await uploadFile(
       annotatedFilename,
-      toArrayBuffer(annotatedBuffer),
+      toArrayBuffer(annotatedBuffer)
-      { preferQiniuForm: true }
     );
     const prompt = buildLocalEditPrompt(regions);
     const manualRegionReferenceImageUrls = regions.flatMap((region) =>

app/api/canvas/text-detect/route.ts

@@ -1,11 +1,7 @@
 import { NextResponse } from "next/server";
 import { z } from "zod";
-import { and, eq, inArray } from "drizzle-orm";
 import { auth } from "@/app/(auth)/auth";
 import { callQwen3Vl } from "@/lib/ai/qwen3-vl";
-import { executeConfiguredVip98kTask, getVip98kRuntimeProviders } from "@/lib/ai/vip98k-runtime";
-import { db } from "@/lib/db";
-import { aiModel } from "@/lib/db/schema";
 import { createLogger } from "@/lib/observability/logger";
 import sharp from "sharp";
 
@@ -94,39 +90,6 @@ function fallbackItemsFromRaw(raw: string): OcrItem[] {
   }));
 }
 
-async function detectTextWithVip98k(imageUrl: string): Promise<OcrItem[] | null> {
-  const providers = await getVip98kRuntimeProviders();
-  if (!providers.length) return null;
-
-  const model = await db.query.aiModel.findFirst({
-    columns: { providerId: true },
-    where: and(
-      inArray(aiModel.providerId, providers.map(({ id }) => id)),
-      eq(aiModel.modelId, "ocr"),
-      eq(aiModel.isEnabled, true),
-    ),
-  });
-  if (!model) return null;
-
-  const result = await executeConfiguredVip98kTask({
-    modelId: "ocr",
-    kind: "image-tool",
-    imageUrls: [imageUrl],
-    preferredProviderId: model.providerId,
-  });
-  const textUrl = result.outputUrls[0];
-  if (!textUrl) throw new Error("98K 文字识别未返回文本文件");
-
-  const response = await fetch(textUrl, { signal: AbortSignal.timeout(15_000) });
-  const type = response.headers.get("content-type") || "";
-  if (!response.ok || !/^(?:text\/plain|application\/octet-stream)(?:;|$)/i.test(type)) {
-    await response.body?.cancel();
-    throw new Error(`无法读取 98K 文字识别结果（HTTP ${response.status}）`);
-  }
-  return (await response.text()).split(/\r\n?|\n/).map((line) => line.trim())
-    .filter(Boolean).slice(0, 50).map((text, index) => ({ id: String(index + 1), text }));
-}
-
 function shouldUseDataUrlFallback(error: unknown) {
   const message =
     error instanceof Error ? error.message.toLowerCase() : String(error || "").toLowerCase();
@@ -184,11 +147,6 @@ export async function POST(request: Request) {
       return NextResponse.json({ success: false, error: "仅支持 URL 图片，不允许 base64 传输" }, { status: 400 });
     }
 
-    const detected = await detectTextWithVip98k(imageUrl);
-    if (detected !== null) {
-      return NextResponse.json({ success: true, data: { items: detected, model: "ocr" } });
-    }
-
     logger.debug("model_selected", { model: "qwen3-vl" });
     const prompt = [
       "你是图片文字识别助手。",
@@ -233,9 +191,15 @@ export async function POST(request: Request) {
     }
 
     const parsedJson = parseJsonText(text || "");
-    const items = Array.isArray(parsedJson?.items)
+    let items: OcrItem[] = [];
-      ? sanitizeItems(parsedJson.items)
+
-      : fallbackItemsFromRaw(text);
+    if (parsedJson && Array.isArray(parsedJson.items)) {
+      items = sanitizeItems(parsedJson.items);
+    }
+
+    if (items.length === 0 && text) {
+      items = fallbackItemsFromRaw(text);
+    }
 
     return NextResponse.json({
       success: true,
@@ -249,7 +213,7 @@ export async function POST(request: Request) {
     return NextResponse.json(
       {
         success: false,
-        error: "图片文字识别暂不可用，请稍后重试",
+        error: error instanceof Error ? error.message : "文字识别失败",
       },
       { status: 500 },
     );

app/api/image-proxy/route.ts

@@ -133,13 +133,15 @@ function buildImageResponse(
     etag: string;
     vary?: string;
     cacheStatus?: "HIT" | "MISS";
+    cacheControl?: string;
+    attachment?: boolean;
   }
 ) {
   const headers: Record<string, string> = {
     "Content-Type": params.contentType,
     "Content-Length": String(body.length),
     ETag: params.etag,
-    "Cache-Control": "public, max-age=31536000, immutable, stale-while-revalidate=86400",
+    "Cache-Control": params.cacheControl || "public, max-age=31536000, immutable, stale-while-revalidate=86400",
   };
   if (params.vary) {
     headers.Vary = params.vary;
@@ -147,6 +149,11 @@ function buildImageResponse(
   if (params.cacheStatus) {
     headers["X-Image-Proxy-Cache"] = params.cacheStatus;
   }
+  if (params.attachment) {
+    headers["Content-Disposition"] = "attachment";
+    headers["X-Content-Type-Options"] = "nosniff";
+    headers["Content-Security-Policy"] = "default-src 'none'; sandbox";
+  }
   return new NextResponse(body, {
     status: 200,
     headers,
@@ -331,18 +338,7 @@ export async function GET(request: NextRequest) {
     );
   }
 
-  if (!original && !forceProxy && isBrowserImageRequest(request)) {
+  if (!original && isAlibabaModelImageUrl(target.toString())) {
-    const direct = buildImageProxyUrl(target.toString(), {
-      width: width || undefined, quality: directQuality || undefined,
-      format: ["webp", "avif", "jpeg", "png"].includes(requestedFormat || "") ? requestedFormat as OutputFormat : undefined,
-    });
-    if (process.env.NEXT_PUBLIC_CANVAS_CDN_ORIGIN && /^https:\/\//.test(direct) &&
-        new URL(direct).origin === new URL(process.env.NEXT_PUBLIC_CANVAS_CDN_ORIGIN).origin) {
-      return redirectToDirectImage(new URL(direct));
-    }
-  }
-
-  if (!original && (isAlibabaModelImageUrl(target.toString()) || (!forceProxy && isBrowserImageRequest(request)))) {
     try {
       const { getArchivedImageUrlMappings } = await import("@/lib/storage/image-archive-db");
       const mappings = await getArchivedImageUrlMappings([target.toString()]);
@@ -464,29 +460,20 @@ export async function GET(request: NextRequest) {
       if (original) return downloadFailure("Source is not an image");
       return NextResponse.json({ error: "Upstream is not an image" }, { status: 400 });
     }
-    if (original) {
-      if (upstreamResponse.status !== 200 || !upstreamResponse.body) {
-        await upstreamResponse.body?.cancel();
-        return downloadFailure("源图片传输中断，请重试");
-      }
-      const headers = new Headers({
-        "Content-Type": contentType,
-        "Content-Disposition": "attachment",
-        "Cache-Control": "private, no-store",
-        "X-Content-Type-Options": "nosniff",
-        "Content-Security-Policy": "default-src 'none'; sandbox",
-      });
-      const length = upstreamResponse.headers.get("content-length");
-      const encoding = upstreamResponse.headers.get("content-encoding");
-      if (length && (!encoding || encoding.toLowerCase() === "identity")) headers.set("Content-Length", length);
-      return new NextResponse(upstreamResponse.body, { headers });
-    }
     try {
       originalBuffer = Buffer.from(await upstreamResponse.arrayBuffer());
     } catch (error) {
       return upstreamFailure(error);
     }
   }
+  if (original) {
+    return buildImageResponse(originalBuffer, {
+      contentType,
+      etag: `"${crypto.createHash("sha256").update(originalBuffer).digest("hex")}"`,
+      cacheControl: "private, no-store",
+      attachment: true,
+    });
+  }
   const isSvg = contentType.toLowerCase().includes("image/svg");
   const isGif = contentType.toLowerCase().includes("image/gif");
 

app/api/scene-fusion/route.ts

@@ -6,7 +6,6 @@
  */
 
 import { NextResponse } from "next/server";
-import { preprocessProductImageWithRmbg } from "@/lib/scene-fusion/preprocess-product";
 import { z } from "zod";
 import { auth } from "@/app/(auth)/auth";
 import { db } from "@/lib/db";
@@ -70,6 +69,7 @@ const SCENE_FUSION_REQUEST_STAGGER_MS = 350;
 const SCENE_FUSION_AGENT_TIMEOUT_MS = 20000;
 const SCENE_FUSION_AGENT_MAX_WORKERS = 3;
 const SCENE_FUSION_PROCESS_MAX_WORKERS = 4;
+const SCENE_FUSION_PRE_RMBG_TIMEOUT_MS = 60_000;
 const SCENE_FUSION_ECHO_HASH_TIMEOUT_MS = 20_000;
 const SCENE_FUSION_ECHO_HASH_THRESHOLD = 8;
 const SCENE_FUSION_REVIEW_TIMEOUT_MS = 25_000;
@@ -236,6 +236,41 @@ function isSceneFusionReviewRejectError(message: string): boolean {
   );
 }
 
+function buildPreRmbgCandidateUrls(request: Request): string[] {
+  const urls: string[] = [];
+  const requestUrl = new URL(request.url);
+  const requestHost = requestUrl.hostname.toLowerCase();
+  const requestProtocol = requestUrl.protocol.replace(":", "");
+  if (!(requestProtocol === "https" && (requestHost === "localhost" || requestHost === "127.0.0.1"))) {
+    urls.push(new URL("/api/rmbg", request.url).toString());
+  }
+
+  const host = request.headers.get("host")?.trim();
+  const protoHint = request.headers
+    .get("x-forwarded-proto")
+    ?.split(",")[0]
+    ?.trim()
+    .toLowerCase();
+  const protocol = protoHint === "https" || protoHint === "http" ? protoHint : requestUrl.protocol.replace(":", "");
+
+  if (host) {
+    const normalizedHost = host.split(":")[0]?.toLowerCase() || "";
+    const isLocalHost = normalizedHost === "localhost" || normalizedHost === "127.0.0.1";
+    if (!(protocol === "https" && isLocalHost)) {
+      urls.push(`${protocol}://${host}/api/rmbg`);
+    }
+    if (isLocalHost) {
+      urls.push(`http://${host}/api/rmbg`);
+    }
+  }
+
+  const localPort = requestUrl.port || process.env.PORT || "3125";
+  urls.push(`http://127.0.0.1:${localPort}/api/rmbg`);
+  urls.push(`http://localhost:${localPort}/api/rmbg`);
+
+  return Array.from(new Set(urls));
+}
+
 function normalizeUrlForCompare(input: string): string {
   try {
     const parsed = new URL(input);
@@ -953,6 +988,102 @@ async function getSceneFusionConfig() {
   };
 }
 
+async function preprocessProductImageWithRmbg(
+  request: Request,
+  requestId: string,
+  productImageUrl: string,
+  preRmbgEnabled: boolean
+): Promise<{
+  productImageUrl: string;
+  usedPreRmbg: boolean;
+  provider?: string;
+  reason?: string;
+}> {
+  if (!preRmbgEnabled) {
+    return {
+      productImageUrl,
+      usedPreRmbg: false,
+      reason: "disabled_by_config",
+    };
+  }
+
+  const cookie = request.headers.get("cookie");
+  if (!cookie) {
+    return {
+      productImageUrl,
+      usedPreRmbg: false,
+      reason: "missing_cookie",
+    };
+  }
+
+  const candidateUrls = buildPreRmbgCandidateUrls(request);
+  let lastReason = "no_candidate_url";
+
+  logger.info("pre_rmbg_started", {
+    requestId,
+    candidateCount: candidateUrls.length,
+  });
+
+  for (const rmbgUrl of candidateUrls) {
+    const controller = new AbortController();
+    const timeoutId = setTimeout(() => controller.abort(), SCENE_FUSION_PRE_RMBG_TIMEOUT_MS);
+    try {
+      const response = await fetch(rmbgUrl, {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          cookie,
+        },
+        body: JSON.stringify({
+          imageUrl: productImageUrl,
+          prompt: "场景裂变预处理-抠图",
+          skipGallerySave: true,
+        }),
+        signal: controller.signal,
+      });
+
+      const payload = await response.json().catch(() => null) as Record<string, unknown> | null;
+
+      if (!response.ok) {
+        lastReason = `request_failed_${response.status}`;
+        logger.warn("pre_rmbg_candidate_failed", {
+          requestId,
+          status: response.status,
+          detail: payload?.detail || payload?.error || "unknown",
+        });
+        continue;
+      }
+
+      const cleanedUrl = String(payload?.original_url || payload?.thumbnail_url || "").trim();
+      if (!cleanedUrl || cleanedUrl === productImageUrl) {
+        lastReason = cleanedUrl ? "same_as_source" : "empty_result";
+        logger.warn("pre_rmbg_candidate_invalid", {
+          requestId,
+          reason: lastReason,
+        });
+        continue;
+      }
+
+      return {
+        productImageUrl: cleanedUrl,
+        usedPreRmbg: true,
+        provider: String(payload?.provider || "unknown"),
+      };
+    } catch (error) {
+      lastReason = error instanceof Error ? error.message : "exception";
+      logger.warn("pre_rmbg_candidate_exception", error, { requestId });
+    } finally {
+      clearTimeout(timeoutId);
+    }
+  }
+
+  return {
+    productImageUrl,
+    usedPreRmbg: false,
+    reason: lastReason,
+  };
+}
+
 /**
  * 创建缩略图
  */
@@ -2305,13 +2436,12 @@ export async function POST(request: Request) {
       productImageUrl = await uploadBase64ToS3(productImage, "scene-fusion-product");
     }
     const shouldForcePreRmbg = resolvedSceneMode === "random-bg";
-    const preprocessedProduct = await preprocessProductImageWithRmbg({
+    const preprocessedProduct = await preprocessProductImageWithRmbg(
       request,
       requestId,
-      userId: session.user.id,
       productImageUrl,
-      preRmbgEnabled: shouldForcePreRmbg ? true : config.preRmbgEnabled,
+      shouldForcePreRmbg ? true : config.preRmbgEnabled
-    });
+    );
     const fusionProductImageUrl = preprocessedProduct.productImageUrl;
     logger.info("pre_rmbg_resolved", {
       requestId,

app/api/site-settings/route.ts

@@ -10,8 +10,7 @@ import {
   systemSettingSnapshot,
   systemSettings,
 } from "@/lib/db/schema";
-import { and, eq, inArray, sql } from "drizzle-orm";
+import { and, eq, inArray } from "drizzle-orm";
-import { omitAgentWorkflowPrompts } from "@/lib/agents/workflow-loading";
 import { auth } from "@/app/(auth)/auth";
 import { isAgentWorkflowAdminType, isSiteAdminType } from "@/lib/middleware/admin";
 import {
@@ -554,8 +553,6 @@ function normalizeAgentCategoryTreeConfig(value: unknown): AgentCategoryTreeConf
 type PublicSiteSettingsScope =
   | "agent-brand-model"
   | "agent-canvas"
-  | "agent-canvas-base"
-  | "agent-workflow-templates"
   | "agent-entry"
   | "agent-presets"
   | "auth"
@@ -568,8 +565,6 @@ type PublicSiteSettingsScope =
 const PUBLIC_SITE_SETTINGS_SCOPES = new Set<string>([
   "agent-brand-model",
   "agent-canvas",
-  "agent-canvas-base",
-  "agent-workflow-templates",
   "agent-entry",
   "agent-presets",
   "auth",
@@ -687,7 +682,7 @@ function createScopedSiteSettingsResponse(
   return response;
 }
 
-async function readScopedSiteSettings(keys: string[], omitWorkflowSteps = false) {
+async function readScopedSiteSettings(keys: string[]) {
   const [settings, settingRows] = await Promise.all([
     db
       .select()
@@ -695,14 +690,8 @@ async function readScopedSiteSettings(keys: string[], omitWorkflowSteps = false)
       .limit(1)
       .then((rows) => rows[0]),
     keys.length > 0
-      ? (omitWorkflowSteps
+      ? db
-          ? db.select({
+          .select()
-              key: systemSettings.key,
-              value: sql<unknown>`case when ${systemSettings.key} = ${AGENT_WORKFLOW_UI_CONFIG_KEY}
-                and jsonb_typeof(${systemSettings.value}) = 'object'
-                then ${systemSettings.value} - 'steps' else ${systemSettings.value} end`,
-            })
-          : db.select())
           .from(systemSettings)
           .where(inArray(systemSettings.key, keys))
       : Promise.resolve([]),
@@ -790,17 +779,8 @@ async function getScopedPublicSiteSettings(
     });
   }
 
-  if (scope === "agent-workflow-templates") {
+  if (scope === "agent-canvas" || scope === "agent-entry") {
-    const [setting] = await db.select({ value: systemSettings.value })
+    const { settings, valueByKey } = await readScopedSiteSettings(AGENT_CANVAS_SETTING_KEYS);
-      .from(systemSettings).where(eq(systemSettings.key, AGENT_WORKFLOW_UI_CONFIG_KEY)).limit(1);
-    const config = normalizeAgentWorkflowUiConfig(setting?.value);
-    return createScopedSiteSettingsResponse(scope, {
-      steps: omitAgentWorkflowPrompts(config.steps),
-    }, "MISS", options.cacheKey || scope, { etag: options.etag });
-  }
-
-  if (scope === "agent-canvas" || scope === "agent-canvas-base" || scope === "agent-entry") {
-    const { settings, valueByKey } = await readScopedSiteSettings(AGENT_CANVAS_SETTING_KEYS, scope !== "agent-canvas");
     const canvasFeatureAvailability = await readCanvasFeatureAvailability(
       valueByKey
     );
@@ -851,8 +831,6 @@ async function getScopedPublicSiteSettings(
               pageFeatureSettings: rawUiConfig?.pageFeatureSettings,
               businessModeSettings: rawUiConfig?.businessModeSettings,
             }
-          : scope === "agent-canvas-base"
-            ? { ...rawUiConfig, steps: [] }
           : rawUiConfig
       ),
       agentWorkflowShowcaseConfig: normalizeAgentWorkflowShowcaseConfig(
@@ -1112,8 +1090,7 @@ export async function GET(request: NextRequest) {
       const cacheKey = brandName.trim()
         ? `${scopedScope}:${brandName.trim().toLowerCase()}`
         : scopedScope;
-      const etag = scopedScope === "agent-canvas" || scopedScope === "agent-entry" ||
+      const etag = scopedScope === "agent-canvas" || scopedScope === "agent-entry"
-        scopedScope === "agent-canvas-base" || scopedScope === "agent-workflow-templates"
         ? await getAgentCanvasSettingsEtag(scopedScope)
         : undefined;
       if (etag && request.headers.get("If-None-Match") === etag) {

app/api/watermark-remove/route.ts

@@ -6,7 +6,6 @@ import { eq } from "drizzle-orm";
 import { uploadFile } from "@/lib/storage/service";
 import {
   createMediaAssetRelation,
-  getDefaultStorageConfig,
   getPointsSystemConfig,
   getMediaAssetsByUserAndUrls,
   upsertMediaAsset,
@@ -22,27 +21,6 @@ export const maxDuration = 600;
 const WATERMARK_SYNC_WAIT_TIMEOUT_MS = 20_000;
 const WATERMARK_POLL_INTERVAL_MS = 1200;
 
-async function resolveStoredQiniuImageUrl(source: string): Promise<string | null> {
-  const config = await getDefaultStorageConfig().catch(() => null);
-  if (config?.type !== "qiniu-kodo" || !config.isEnabled || !config.publicUrl) return null;
-
-  try {
-    const base = new URL(config.publicUrl);
-    const url = new URL(source);
-    const prefix = base.pathname.replace(/\/$/, "") + "/";
-    if (base.protocol !== "https:" || url.origin !== base.origin ||
-        url.username || url.password || url.search || url.hash ||
-        !url.pathname.startsWith(prefix)) return null;
-
-    const objectKey = url.pathname.slice(prefix.length);
-    return /^uploads\/(?:direct\/[0-9a-f-]{36}\/)?[\w.-]+$/i.test(objectKey)
-      ? url.toString()
-      : null;
-  } catch {
-    return null;
-  }
-}
-
 // 获取去水印API配置
 async function getWatermarkRemoveConfig() {
   try {
@@ -153,16 +131,13 @@ async function persistWatermarkResult(params: {
   processing_time?: number;
 }> {
   try {
-    let resultUrl = await resolveStoredQiniuImageUrl(params.processedImageUrl);
-    if (!resultUrl) {
     const imageResponse = await fetch(params.processedImageUrl);
     if (!imageResponse.ok) {
       throw new Error("下载处理后的图片失败");
     }
     const imageBuffer = await imageResponse.arrayBuffer();
     const filename = `watermark-removed-${Date.now()}.png`;
-      resultUrl = (await uploadFile(filename, imageBuffer)).url;
+    const uploadResult = await uploadFile(filename, imageBuffer);
-    }
 
     let saved = false;
     let saveError: unknown = null;
@@ -175,8 +150,8 @@ async function persistWatermarkResult(params: {
       try {
         ([savedImage] = await db.insert(generatedImage).values({
           userId: params.userId,
-          thumbnailUrl: resultUrl,
+          thumbnailUrl: uploadResult.url,
-          originalUrl: resultUrl,
+          originalUrl: uploadResult.url,
           imageSize: "2K",
           prompt: "去水印处理",
           modelId: "watermark-remove",
@@ -209,9 +184,9 @@ async function persistWatermarkResult(params: {
           mediaType: "image",
           sourceType: "edited",
           status: "ready",
-          originalUrl: resultUrl,
+          originalUrl: uploadResult.url,
-          previewUrl: resultUrl,
+          previewUrl: uploadResult.url,
-          thumbnailUrl: resultUrl,
+          thumbnailUrl: uploadResult.url,
           displayName: "去水印处理",
           prompt: "去水印处理",
           modelId: "watermark-remove",
@@ -242,8 +217,8 @@ async function persistWatermarkResult(params: {
 
     return {
       success: true,
-      original_url: resultUrl,
+      original_url: uploadResult.url,
-      thumbnail_url: resultUrl,
+      thumbnail_url: uploadResult.url,
       processing_time:
         typeof params.startedAt === "number" ? (Date.now() - params.startedAt) / 1000 : undefined,
     };
@@ -387,7 +362,7 @@ export async function POST(request: NextRequest) {
     const body = await request.json();
     const { image_url } = body;
 
-    if (typeof image_url !== "string" || !image_url) {
+    if (!image_url) {
       return NextResponse.json(
         { error: "请提供图片URL" },
         { status: 400 }
@@ -438,11 +413,8 @@ export async function POST(request: NextRequest) {
         );
       }
     } 
-    // 七牛上的公开图片可以直接交给去水印服务读取。
+    // 如果是 HTTP/HTTPS URL，下载后重新上传确保公网可访问
     else if (image_url.startsWith("http://") || image_url.startsWith("https://")) {
-      const storedImageUrl = await resolveStoredQiniuImageUrl(image_url);
-      publicImageUrl = storedImageUrl || image_url;
-      if (!storedImageUrl) {
       try {
         console.log("[WatermarkRemove] 下载原图并上传到S3...");
         const imageResponse = await fetch(image_url);
@@ -451,11 +423,14 @@ export async function POST(request: NextRequest) {
         }
         const imageBuffer = await imageResponse.arrayBuffer();
         const filename = `watermark-input-${Date.now()}.jpg`;
-          publicImageUrl = (await uploadFile(filename, imageBuffer)).url;
+        const uploadResult = await uploadFile(filename, imageBuffer);
+        publicImageUrl = uploadResult.url;
         console.log("[WatermarkRemove] 图片已上传到S3:", publicImageUrl);
       } catch (downloadError) {
-          console.error("[WatermarkRemove] 下载/上传原图失败，使用原始URL:", downloadError);
+        console.error("[WatermarkRemove] 下载/上传原图失败:", downloadError);
-        }
+        // 如果下载失败，尝试使用原始URL
+        console.log("[WatermarkRemove] 尝试使用原始URL");
+        publicImageUrl = image_url;
       }
     } else {
       return NextResponse.json(

app/canvas/[id]/CanvasEditorLegacyPageClient.tsx

@@ -1,11 +1,7 @@
 "use client";
 
 import { createCanvasSaveQueue } from "@/lib/client/canvas-save-queue";
-import { readCanvasDraft, writeCanvasDraft, clearCanvasDraft } from "@/lib/client/canvas-draft";
+import { CanvasRemoteOperationContext } from "@/components/canvas/CanvasRemoteOperationContext";
-import { mergeCanvasSnapshots } from "@/lib/video-canvas/merge-snapshot";
-import { BEFORE_PAGE_REFRESH, type PageRefreshRequest } from "@/lib/client/page-refresh";
-import { CanvasRemoteOperationContext, type CanvasRemoteOperation, type CanvasRemoteOperationResult } from "@/components/canvas/CanvasRemoteOperationContext";
-import equal from "fast-deep-equal";
 import {
   AlertCircle,
   AlertTriangle,
@@ -172,7 +168,6 @@ import {
   type VideoCanvasSymbolMarkerId,
 } from "@/lib/canvas/video-canvas-markers";
 import {
-  isCanvasImageUploadPending,
   LOCAL_UPLOAD_PENDING_METADATA_KEY,
   LOCAL_UPLOAD_PREVIEW_METADATA_KEY,
 } from "@/lib/canvas/local-upload-state";
@@ -233,8 +228,7 @@ import {
   type WorkflowSceneRecord,
 } from "@/lib/video-workflow/runtime";
 import { agentProjectService } from "@/services/agent-projects";
-import { getWorkflowSelectionsRequest } from "@/lib/agents/workflow-loading";
+import { fetchCanvasSiteSettings } from "@/lib/client/canvas-site-settings";
-import { fetchCanvasSiteSettings, fetchWorkflowTemplatePrompts } from "@/lib/client/canvas-site-settings";
 import {
   canvasService,
   imageGenerationService,
@@ -274,17 +268,6 @@ import type {
 const CANVAS_SITE_SETTINGS_REFRESH_INTERVAL_MS = 15000;
 const CANVAS_SURFACE_BACKGROUND = "#f5f5f5";
 
-function WorkflowLoadState({ name, error, retrying, onRetry }: { name: string; error?: Error; retrying?: boolean; onRetry: () => void }) {
-  const failed = Boolean(error && !retrying);
-  const timedOut = error?.name === "AbortError" || error?.name === "TimeoutError";
-  return (
-    <div className="flex items-center gap-3 rounded-xl border border-white/10 px-4 py-3 text-sm text-white/65" role={failed ? "alert" : "status"}>
-      <span>{failed ? `${name}${timedOut ? "加载超时" : "加载失败"}` : `正在加载${name}…`}</span>
-      {failed && <Button type="button" size="sm" variant="outline" onClick={onRetry}>重试</Button>}
-    </div>
-  );
-}
-
 function CanvasLazyPanelLoader({
   label,
   className,
@@ -1946,12 +1929,6 @@ export default function CanvasEditorLegacyPage({
     () => !initialProjectForCurrentRoute
   );
   const [isSaving, setIsSaving] = useState(false);
-  const [canvasLoadError, setCanvasLoadError] = useState("");
-  const [canvasLoadAttempt, setCanvasLoadAttempt] = useState(0);
-  const canvasReadyRef = useRef(Boolean(initialProjectForCurrentRoute));
-  const savedCanvasSnapshotRef = useRef<{ id: string; snapshot: string } | null>(null);
-  const canvasSyncErrorRef = useRef("");
-  const [canvasSyncConflicts, setCanvasSyncConflicts] = useState<string[]>([]);
   const [isEditingTitle, setIsEditingTitle] = useState(false);
   const [isAddImageDialogOpen, setIsAddImageDialogOpen] = useState(false);
   const [editTitle, setEditTitle] = useState("");
@@ -2188,13 +2165,13 @@ export default function CanvasEditorLegacyPage({
   );
   const canvasSiteSettingsKey = requestedAgentMode
     ? hasActiveAgentProject
-      ? "/api/site-settings?scope=agent-canvas-base"
+      ? "/api/site-settings?scope=agent-canvas"
       : "/api/site-settings?scope=agent-entry"
     : "/api/site-settings?scope=canvas";
   const [hasResolvedCanvasSiteSettings, setHasResolvedCanvasSiteSettings] =
     useState(false);
 
-  const { data: siteSettingsData, error: siteSettingsError, isValidating: siteSettingsLoading, mutate: reloadSiteSettings } = useSWR<{
+  const { data: siteSettingsData } = useSWR<{
     siteName?: string;
     siteLogo?: string | null;
     siteLogoDark?: string | null;
@@ -2225,7 +2202,6 @@ export default function CanvasEditorLegacyPage({
       ? 0
       : CANVAS_SITE_SETTINGS_REFRESH_INTERVAL_MS,
     errorRetryCount: 1,
-    shouldRetryOnError: !requestedAgentMode || !hasActiveAgentProject,
     dedupingInterval: 30_000,
     revalidateOnFocus: true,
     revalidateOnReconnect: true,
@@ -2292,34 +2268,9 @@ export default function CanvasEditorLegacyPage({
     !requestedAgentMode ||
     !agentProjectId ||
     loadedAgentProjectId === agentProjectId;
-  const [workflowTemplateMarker, setWorkflowTemplateMarker] = useState<HTMLDivElement | null>(null);
-  const [workflowTemplatesRequested, setWorkflowTemplatesRequested] = useState(false);
-  const hasWorkflowBase = Boolean(siteSettingsData?.agentWorkflowUiConfig);
-  useEffect(() => {
-    if (!isAgentMode || !hasActiveAgentProject || !hasWorkflowBase || workflowTemplatesRequested) return;
-    const element = workflowTemplateMarker;
-    if (!element) return;
-    const observer = new IntersectionObserver(([entry]) => {
-      if (entry?.isIntersecting) setWorkflowTemplatesRequested(true);
-    });
-    observer.observe(element);
-    return () => observer.disconnect();
-  }, [hasActiveAgentProject, hasWorkflowBase, isAgentMode, workflowTemplateMarker, workflowTemplatesRequested]);
-  const { data: workflowTemplates, error: workflowTemplatesError, isValidating: workflowTemplatesLoading, mutate: reloadWorkflowTemplates } = useSWR<{
-    steps: AgentWorkflowUiConfig["steps"];
-  }>(
-    isAgentMode && hasActiveAgentProject && hasWorkflowBase && workflowTemplatesRequested
-      ? "/api/site-settings?scope=agent-workflow-templates"
-      : null,
-    fetchCanvasSiteSettings,
-    { shouldRetryOnError: false }
-  );
   const resolvedWorkflowUiConfig = useMemo(
-    () => {
+    () => siteSettingsData?.agentWorkflowUiConfig || defaultAgentWorkflowUiConfig,
-      const base = siteSettingsData?.agentWorkflowUiConfig || defaultAgentWorkflowUiConfig;
+    [siteSettingsData?.agentWorkflowUiConfig]
-      return requestedAgentMode ? { ...base, steps: workflowTemplates?.steps ?? [] } : base;
-    },
-    [requestedAgentMode, siteSettingsData?.agentWorkflowUiConfig, workflowTemplates?.steps]
   );
   const workflowPageFeatureSettings = useMemo(
     () => getAgentWorkflowPageFeatureSettings(resolvedWorkflowUiConfig),
@@ -2368,7 +2319,7 @@ export default function CanvasEditorLegacyPage({
   });
   const sanitizedWorkflowSelections = useMemo(
     () =>
-      requestedAgentMode && !workflowTemplates
+      requestedAgentMode && !siteSettingsData?.agentWorkflowUiConfig
         ? workflowSelections
         : sanitizeAgentWorkflowSelections({
             config: resolvedWorkflowUiConfig || defaultAgentWorkflowUiConfig,
@@ -2376,7 +2327,7 @@ export default function CanvasEditorLegacyPage({
           }),
     [
       requestedAgentMode,
-      workflowTemplates,
+      siteSettingsData?.agentWorkflowUiConfig,
       resolvedWorkflowUiConfig,
       workflowSelections,
     ]
@@ -2384,14 +2335,6 @@ export default function CanvasEditorLegacyPage({
   const deferredSanitizedWorkflowSelections = useDeferredValue(
     sanitizedWorkflowSelections
   );
-  const workflowSelectionRequest = isAgentMode && hasActiveAgentProject && hasLoadedCurrentAgentProject
-    ? getWorkflowSelectionsRequest(sanitizedWorkflowSelections)
-    : "";
-  const { data: workflowPromptData, error: workflowPromptError, isValidating: workflowPromptLoading, mutate: reloadWorkflowPrompts } = useSWR(
-    workflowSelectionRequest ? ["/api/agent-workflow/template-prompts", workflowSelectionRequest] as const : null,
-    fetchWorkflowTemplatePrompts,
-    { shouldRetryOnError: false }
-  );
   const resolvedBrandModelConfig = useMemo(
     () =>
       normalizeAgentWorkflowBrandModelConfig(
@@ -3422,32 +3365,6 @@ export default function CanvasEditorLegacyPage({
     return () => window.clearTimeout(timeoutId);
   }, []);
 
-  const loadPersistedCanvasState = useCallback((input: CanvasState | null | undefined) => {
-    const canvasData = input || { nodes: [], edges: [], selectedNodeIds: [], viewport: { x: 0, y: 0, zoom: 1 }, tool: "select" as const };
-    const base = JSON.stringify({ canvasData });
-    savedCanvasSnapshotRef.current = { id, snapshot: base };
-    externalCanvasConflictRef.current = false;
-    setCanvasSyncConflicts([]);
-    const draft = readCanvasDraft(id);
-    if (draft) {
-      const merged = mergeCanvasSnapshots(draft.base, draft.snapshot, base);
-      if (merged.conflicts.length) {
-        externalCanvasConflictRef.current = true;
-        savedCanvasSnapshotRef.current = { id, snapshot: draft.base };
-        setCanvasSyncConflicts(merged.conflicts);
-        canvasSyncErrorRef.current = "画布同步发生冲突，改动已保留。请在画布上方选择保留本页或云端的冲突内容，再继续操作。";
-        useCanvasStore.getState().loadCanvas(JSON.parse(merged.snapshot).canvasData);
-        toast.warning(canvasSyncErrorRef.current);
-        return;
-      }
-      useCanvasStore.getState().loadCanvas(JSON.parse(merged.snapshot).canvasData);
-      if (merged.snapshot !== base) writeCanvasDraft(id, { base, snapshot: merged.snapshot });
-      else clearCanvasDraft(id);
-      return;
-    }
-    useCanvasStore.getState().loadCanvas(canvasData);
-  }, [id]);
-
   const hydrateCanvasProject = useCallback(
     (project: CanvasInitialProject) => {
       externalCanvasConflictRef.current = false;
@@ -3457,9 +3374,9 @@ export default function CanvasEditorLegacyPage({
       useCanvasStore
         .getState()
         .setCanvasRevision(projectUpdatedAt, projectUpdatedAt);
-      loadPersistedCanvasState(project.canvasData);
 
       if (project.canvasData) {
+        useCanvasStore.getState().loadCanvas(project.canvasData);
         const persistedWorkflow = project.canvasData.workflowState;
         if (!requestedAgentMode && persistedWorkflow) {
           const nextAppearanceRecognitionEnabled =
@@ -3562,7 +3479,7 @@ export default function CanvasEditorLegacyPage({
 
       setWorkflowHydrationSource("empty");
     },
-    [id, requestedAgentMode, loadPersistedCanvasState]
+    [id, requestedAgentMode]
   );
 
   useLayoutEffect(() => {
@@ -3570,7 +3487,6 @@ export default function CanvasEditorLegacyPage({
     if (lastLoadedCanvasIdRef.current === id) return;
 
     hydrateCanvasProject(initialProjectForCurrentRoute);
-    canvasReadyRef.current = true;
     setIsLoading(false);
     lastLoadedCanvasIdRef.current = id;
   }, [hydrateCanvasProject, id, initialProjectForCurrentRoute]);
@@ -3578,7 +3494,6 @@ export default function CanvasEditorLegacyPage({
   // 加载画布数据
   useEffect(() => {
     console.log("[Canvas] Loading project:", id);
-    let cancelled = false;
 
     const loadProject = async () => {
       if (lastLoadedCanvasIdRef.current === id) {
@@ -3587,8 +3502,6 @@ export default function CanvasEditorLegacyPage({
       }
 
       setIsLoading(true);
-      canvasReadyRef.current = false;
-      setCanvasLoadError("");
       if (!requestedAgentMode) {
         setWorkflowHydrationSource("pending");
       }
@@ -3621,16 +3534,18 @@ export default function CanvasEditorLegacyPage({
         setLoadedAgentProjectId(null);
       }
 
+      // 🆕 先清空当前画布状态，确保切换时不会显示旧数据
+      useCanvasStore.getState().clearCanvas();
+
       const result = await canvasService.getProject(id);
-      if (cancelled) return;
 
       if (result.success && result.data) {
         useCanvasStore.getState().setProject(id, result.data.title);
         useCanvasStore
           .getState()
           .setCanvasRevision(String(result.data.updatedAt || ""), String(result.data.updatedAt || ""));
-        loadPersistedCanvasState(result.data.canvasData);
         if (result.data.canvasData) {
+          useCanvasStore.getState().loadCanvas(result.data.canvasData);
           const persistedWorkflow = result.data.canvasData.workflowState;
           if (!requestedAgentMode && persistedWorkflow) {
             const nextAppearanceRecognitionEnabled =
@@ -3747,15 +3662,8 @@ export default function CanvasEditorLegacyPage({
           return;
         }
 
-        if (result.status !== 404) {
+        // 画布不存在时，创建一个新画布
-          setCanvasLoadError(result.error || "画布暂时无法读取，请检查网络后重试加载。现有内容未被覆盖。");
-          setIsLoading(false);
-          return;
-        }
-
-        // Only an explicit missing project can create a new empty canvas.
         console.log("[Canvas] 画布不存在，创建新画布:", id);
-        useCanvasStore.getState().clearCanvas();
         useCanvasStore
           .getState()
           .setProject(
@@ -3782,20 +3690,15 @@ export default function CanvasEditorLegacyPage({
           }
         }
       }
-      if (cancelled) return;
-      canvasReadyRef.current = true;
       setIsLoading(false);
       lastLoadedCanvasIdRef.current = id;
     };
 
     loadProject();
-    return () => { cancelled = true; };
   }, [
     activeCanvasWorkspaceType,
     defaultCanvasTitle,
     id,
-    canvasLoadAttempt,
-    loadPersistedCanvasState,
     openLoginDialog,
     requestedAgentMode,
   ]);
@@ -5168,69 +5071,15 @@ export default function CanvasEditorLegacyPage({
   const canvasAutosaveTimer = useRef<ReturnType<typeof setTimeout> | null>(null);
   const canvasPersistenceScope = useRef(id);
   const canvasRemoteOperationActive = useRef(false);
-  const canvasLeaveApprovedRef = useRef(false);
-  const [canvasLeaveUrl, setCanvasLeaveUrl] = useState("");
-  const [isSavingBeforeLeave, setIsSavingBeforeLeave] = useState(false);
-  const [canvasLeaveError, setCanvasLeaveError] = useState("");
   canvasPersistenceScope.current = id;
-  const hasUnsavedCanvasChanges = useCallback(() => {
-    if (!canvasReadyRef.current || useCanvasStore.getState().projectId !== id || savedCanvasSnapshotRef.current?.id !== id) return false;
-    if (useCanvasStore.getState().nodes.some(isCanvasImageUploadPending)) return true;
-    const saved = JSON.parse(savedCanvasSnapshotRef.current.snapshot).canvasData as CanvasState;
-    const current = JSON.parse(JSON.stringify(buildPersistedCanvasData())) as CanvasState;
-    const content = (value: CanvasState) => [value.nodes.map(node => {
-      const { updatedAt: _updatedAt, ...nodeData } = node;
-      return { ...nodeData, connections: node.connections || [] };
-    }), value.edges || [], value.suppressedMediaKeys || [], normalizeStyleProPersistedState(value.styleProState)];
-    return !equal(content(saved), content(current));
-  }, [buildPersistedCanvasData, id]);
-  const requestCanvasLeave = useCallback((url: string) => {
-    if (hasUnsavedCanvasChanges()) {
-      setCanvasLeaveError("");
-      setCanvasLeaveUrl(url);
-      return;
-    }
-    canvasLeaveApprovedRef.current = true;
-    window.location.assign(url);
-  }, [hasUnsavedCanvasChanges]);
-  const applyCanvasRemoteSnapshot = useCallback((result: CanvasRemoteOperationResult) => {
-    if (result.projectId !== id || canvasPersistenceScope.current !== id || useCanvasStore.getState().projectId !== id) return false;
-    const remoteSnapshot = JSON.stringify({ canvasData: result.canvasData });
-    const merged = mergeCanvasSnapshots(
-      savedCanvasSnapshotRef.current?.id === id ? savedCanvasSnapshotRef.current.snapshot : remoteSnapshot,
-      JSON.stringify({ canvasData: buildPersistedCanvasData() }),
-      remoteSnapshot,
-    );
-    if (merged.changed) useCanvasStore.getState().loadCanvas(JSON.parse(merged.snapshot).canvasData);
-    useCanvasStore.getState().setCanvasRevision(result.updatedAt, result.updatedAt);
-    if (merged.conflicts.length) {
-      canvasSyncErrorRef.current = "画布同步发生冲突，改动已保留。请在画布上方选择保留本页或云端的冲突内容，再继续操作。";
-      if (!externalCanvasConflictRef.current) toast.warning(canvasSyncErrorRef.current);
-      externalCanvasConflictRef.current = true;
-      setCanvasSyncConflicts(merged.conflicts);
-      writeCanvasDraft(id, { base: savedCanvasSnapshotRef.current?.snapshot || remoteSnapshot, snapshot: merged.snapshot });
-      return false;
-    }
-    savedCanvasSnapshotRef.current = { id, snapshot: remoteSnapshot };
-    externalCanvasConflictRef.current = false;
-    setCanvasSyncConflicts([]);
-    canvasSyncErrorRef.current = "";
-    return true;
-  }, [buildPersistedCanvasData, id]);
   const persistCanvasStateNow = useCallback(
     async (reason: "autosave" | "delete" | "beforeunload") => {
-      if (canvasLeaveApprovedRef.current || canvasPersistenceScope.current !== id || !canvasReadyRef.current || useCanvasStore.getState().projectId !== id) return false;
+      if (canvasPersistenceScope.current !== id) return false;
-      if (externalCanvasConflictRef.current) return false;
       setIsSaving(true);
       try {
-        let canvasData = buildPersistedCanvasData();
+        const canvasData = buildPersistedCanvasData();
-        let snapshot = JSON.stringify({ canvasData });
-        if (savedCanvasSnapshotRef.current?.id === id && equal(JSON.parse(savedCanvasSnapshotRef.current.snapshot), JSON.parse(snapshot))) {
-          clearCanvasDraft(id);
-          return true;
-        }
         const { canvasRevision, canvasUpdatedAt } = useCanvasStore.getState();
-        let result = await canvasService.saveCanvasState(
+        const result = await canvasService.saveCanvasState(
           id,
           canvasData,
           activeCanvasWorkspaceType,
@@ -5240,53 +5089,23 @@ export default function CanvasEditorLegacyPage({
           }
         );
         if (canvasPersistenceScope.current !== id) return false;
-        if (result.status === 409 && savedCanvasSnapshotRef.current?.id === id) {
-          const remote = await canvasService.getProject(id);
-          if (canvasPersistenceScope.current !== id) return false;
-          if (remote.success && remote.data?.canvasData) {
-            const remoteSnapshot = JSON.stringify({ canvasData: remote.data.canvasData });
-            const merged = mergeCanvasSnapshots(
-              savedCanvasSnapshotRef.current.snapshot,
-              JSON.stringify({ canvasData: buildPersistedCanvasData() }),
-              remoteSnapshot,
-            );
-            if (!merged.conflicts.length) {
-              canvasData = JSON.parse(merged.snapshot).canvasData;
-              snapshot = merged.snapshot;
-              savedCanvasSnapshotRef.current = { id, snapshot: remoteSnapshot };
-              useCanvasStore.getState().loadCanvas(canvasData);
-              const revision = String(remote.data.updatedAt);
-              useCanvasStore.getState().setCanvasRevision(revision, revision);
-              result = await canvasService.saveCanvasState(id, canvasData, activeCanvasWorkspaceType, {
-                baseCanvasRevision: revision, baseCanvasUpdatedAt: revision,
-              });
-              if (canvasPersistenceScope.current !== id) return false;
-            } else {
-              externalCanvasConflictRef.current = true;
-              setCanvasSyncConflicts(merged.conflicts);
-            }
-          }
-        }
         if (!result.success) {
-          const retained = writeCanvasDraft(id, {
-            base: savedCanvasSnapshotRef.current?.id === id ? savedCanvasSnapshotRef.current.snapshot : JSON.stringify({ canvasData: { nodes: [], edges: [] } }),
-            snapshot: JSON.stringify({ canvasData: buildPersistedCanvasData() }),
-          });
-          canvasSyncErrorRef.current = result.status === 409
-            ? "画布同步发生冲突，改动已保留。请在画布上方选择保留本页或云端的冲突内容，再继续操作。"
-            : `画布自动同步失败${result.status ? `（HTTP ${result.status}）` : "（网络连接失败）"}。${retained ? "本地草稿已保留，系统会继续自动同步，也可稍后重试。" : "请保留当前页面，检查网络后重试同步，暂勿刷新。"}`;
           console.error(`[Canvas] ${reason} save failed:`, result.error);
-        } else {
+          if (result.status === 409) {
-          canvasSyncErrorRef.current = "";
+            externalCanvasConflictRef.current = true;
-          savedCanvasSnapshotRef.current = { id, snapshot };
+            console.warn("[Canvas] stale save revision handled without user prompt", {
-          clearCanvasDraft(id);
+              reason,
-          externalCanvasConflictRef.current = false;
+              canvasUpdatedAt: result.canvasUpdatedAt,
-          setCanvasSyncConflicts([]);
+            });
-          externalCanvasConflictNotifiedRef.current = false;
+            if (!externalCanvasConflictNotifiedRef.current) {
-          if (result.data?.canvasData && result.data?.updatedAt) {
+              externalCanvasConflictNotifiedRef.current = true;
-            return applyCanvasRemoteSnapshot({ projectId: id, canvasData: result.data.canvasData, updatedAt: String(result.data.updatedAt) });
+              toast.warning("画布已被外部操作更新，本地改动未覆盖远端；请刷新后继续编辑");
             }
-          if (result.data?.updatedAt) useCanvasStore
+          }
+        } else if (result.data?.updatedAt) {
+          externalCanvasConflictRef.current = false;
+          externalCanvasConflictNotifiedRef.current = false;
+          useCanvasStore
             .getState()
             .setCanvasRevision(String(result.data.updatedAt), String(result.data.updatedAt));
         }
@@ -5295,7 +5114,7 @@ export default function CanvasEditorLegacyPage({
         if (canvasPersistenceScope.current === id) setIsSaving(false);
       }
     },
-    [activeCanvasWorkspaceType, applyCanvasRemoteSnapshot, buildPersistedCanvasData, id]
+    [activeCanvasWorkspaceType, buildPersistedCanvasData, id]
   );
 
   const persistCanvasState = useCallback(
@@ -5304,139 +5123,35 @@ export default function CanvasEditorLegacyPage({
     [persistCanvasStateNow]
   );
 
-  const finishCanvasLeave = useCallback(async (save: boolean) => {
-    if (!canvasLeaveUrl || isSavingBeforeLeave) return;
-    setCanvasLeaveError("");
-    if (save && useCanvasStore.getState().nodes.some(isCanvasImageUploadPending)) {
-      setCanvasLeaveError("还有图片未上传成功。请等待上传完成；若上传失败，请重新上传或移除该图片后再保存并离开。");
-      return;
-    }
-    if (canvasAutosaveTimer.current) {
-      clearTimeout(canvasAutosaveTimer.current);
-      canvasAutosaveTimer.current = null;
-    }
-    if (save) {
-      setIsSavingBeforeLeave(true);
-      try {
-        if (!(await persistCanvasState("autosave"))) throw new Error(canvasSyncErrorRef.current || "画布暂时无法同步，请保留此页并稍后重试。");
-        if (hasUnsavedCanvasChanges() && !(await persistCanvasState("autosave"))) throw new Error(canvasSyncErrorRef.current);
-        if (hasUnsavedCanvasChanges()) throw new Error("还有改动正在同步，请稍后重试离开。");
-      } catch (error) {
-        setCanvasLeaveError(error instanceof Error ? error.message : "画布暂时无法同步，请保留此页并稍后重试。");
-        setIsSavingBeforeLeave(false);
-        return;
-      }
-    }
-    canvasLeaveApprovedRef.current = true;
-    clearCanvasDraft(id);
-    window.location.assign(canvasLeaveUrl);
-  }, [canvasLeaveUrl, hasUnsavedCanvasChanges, id, isSavingBeforeLeave, persistCanvasState]);
-
-  const resolveCanvasSyncConflict = useCallback((choice: "local" | "remote") => {
-    return canvasSaveQueue.current!.enqueue(async () => {
-      setIsSaving(true);
-      try {
-        const remote = await canvasService.getProject(id);
-        if (canvasPersistenceScope.current !== id || useCanvasStore.getState().projectId !== id) return;
-        if (!remote.success || !remote.data?.canvasData || savedCanvasSnapshotRef.current?.id !== id) {
-          throw new Error(remote.error || "画布暂时无法读取，改动已保留，请稍后重试同步。");
-        }
-        const remoteSnapshot = JSON.stringify({ canvasData: remote.data.canvasData });
-        const merged = mergeCanvasSnapshots(
-          savedCanvasSnapshotRef.current.snapshot,
-          JSON.stringify({ canvasData: buildPersistedCanvasData() }),
-          remoteSnapshot,
-          choice,
-        );
-        savedCanvasSnapshotRef.current = { id, snapshot: remoteSnapshot };
-        useCanvasStore.getState().loadCanvas(JSON.parse(merged.snapshot).canvasData);
-        const revision = String(remote.data.updatedAt);
-        useCanvasStore.getState().setCanvasRevision(revision, revision);
-        externalCanvasConflictRef.current = false;
-        canvasSyncErrorRef.current = "";
-        setCanvasSyncConflicts([]);
-        if (!(await persistCanvasStateNow("autosave"))) throw new Error(canvasSyncErrorRef.current);
-        toast.success("画布已合并同步，可以继续操作");
-      } catch (error) {
-        toast.error(error instanceof Error ? error.message : "画布同步失败，改动已保留，请稍后重试。");
-      } finally {
-        if (canvasPersistenceScope.current === id) setIsSaving(false);
-      }
-    });
-  }, [buildPersistedCanvasData, id, persistCanvasStateNow]);
-
   const runCanvasRemoteOperation = useCallback(
-    (operation: CanvasRemoteOperation) => {
+    (operation: () => Promise<void>) => {
       if (canvasAutosaveTimer.current) {
         clearTimeout(canvasAutosaveTimer.current);
         canvasAutosaveTimer.current = null;
       }
       return canvasSaveQueue.current!.enqueueOperation(
-        async () => {
+        () => persistCanvasStateNow("autosave"),
-          const saved = await persistCanvasStateNow("autosave");
-          if (!saved) throw new Error(canvasSyncErrorRef.current ? `${canvasSyncErrorRef.current} 本次处理未提交。` : "画布尚未完成加载，本次处理未提交，请等待加载完成后重试。");
-          return true;
-        },
         async () => {
           canvasRemoteOperationActive.current = true;
           try {
-            const result = await operation();
+            await operation();
-            if (result && result.projectId === id && canvasPersistenceScope.current === id) {
-              savedCanvasSnapshotRef.current = { id, snapshot: JSON.stringify({ canvasData: result.canvasData }) };
-              canvasSyncErrorRef.current = "";
-            }
           } finally {
             canvasRemoteOperationActive.current = false;
           }
         }
       );
     },
-    [persistCanvasStateNow, id]
+    [persistCanvasStateNow]
   );
 
-  const persistCanvasBeforeAgent = useCallback(async () => {
+  const persistCanvasBeforeAgent = useCallback(() => {
-    if (!canvasReadyRef.current || useCanvasStore.getState().projectId !== id || externalCanvasConflictRef.current)
-      throw new Error(canvasSyncErrorRef.current ? `${canvasSyncErrorRef.current} 本次任务未提交。` : "画布尚未完成同步，本次任务未提交，请保留当前页面并重试同步。");
-    if (savedCanvasSnapshotRef.current?.id === id) {
-      if (!hasUnsavedCanvasChanges()) return true;
-    }
     // Flush the pending local edit once instead of racing its scheduled autosave.
     if (canvasAutosaveTimer.current) {
       clearTimeout(canvasAutosaveTimer.current);
       canvasAutosaveTimer.current = null;
     }
-    if (!(await persistCanvasState("autosave"))) throw new Error(canvasSyncErrorRef.current ? `${canvasSyncErrorRef.current} 本次任务未提交。` : "画布尚未完成加载，本次任务未提交；请等待加载完成后再次发送。");
+    return persistCanvasState("autosave");
-    return true;
+  }, [persistCanvasState]);
-  }, [persistCanvasState, hasUnsavedCanvasChanges, id]);
-
-  const canvasRemoteOperationContext = useMemo(() => ({
-    run: runCanvasRemoteOperation,
-    applySnapshot: applyCanvasRemoteSnapshot,
-  }), [runCanvasRemoteOperation, applyCanvasRemoteSnapshot]);
-
-  useEffect(() => {
-    if (isVideoMode) return;
-    const beforeRefresh = (event: Event) => {
-      const request = (event as CustomEvent<PageRefreshRequest>).detail;
-      if (!isAgentMode && useCanvasStore.getState().nodes.some(isCanvasImageUploadPending)) {
-        request.block("还有图片未上传成功。请等待上传完成；若上传失败，请重新上传或移除该图片后再刷新。");
-        return;
-      }
-      if (useCanvasStore.getState().isGenerating) {
-        request.block("当前图片任务仍在处理中，请等待结果返回后再刷新。");
-        return;
-      }
-      request.save(async () => {
-        if (isAgentMode) {
-          if (agentProjectId && hasLoadedCurrentAgentProject && !(await persistAgentProject("switch"))) throw new Error("生图项目同步失败，请保留此页并重试刷新。");
-        } else if (canvasReadyRef.current && !(await persistCanvasState("autosave"))) {
-          throw new Error(canvasSyncErrorRef.current || "画布尚未完成同步，请保留此页并重试刷新。");
-        }
-      });
-    };
-    window.addEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-    return () => window.removeEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-  }, [isVideoMode, isAgentMode, agentProjectId, hasLoadedCurrentAgentProject, persistAgentProject, persistCanvasState]);
 
   // 自动保存逻辑
   useEffect(() => {
@@ -5457,32 +5172,7 @@ export default function CanvasEditorLegacyPage({
       clearTimeout(saveTimer);
       if (canvasAutosaveTimer.current === saveTimer) canvasAutosaveTimer.current = null;
     };
-  }, [isAgentMode, isAgentOperationRefreshActive, nodes, edges, isLoading, persistCanvasState]);
+  }, [isAgentMode, isAgentOperationRefreshActive, nodes, isLoading, persistCanvasState]);
-
-  useEffect(() => {
-    if (isLoading || isAgentMode) return;
-    const retrySync = () => {
-      if (canvasLeaveApprovedRef.current || externalCanvasConflictRef.current || canvasRemoteOperationActive.current || isAgentOperationRefreshActive() || !hasUnsavedCanvasChanges()) return;
-      void persistCanvasState("autosave").catch(error => console.error("[Canvas] background sync failed:", error));
-    };
-    const onVisibilityChange = () => {
-      if (!canvasLeaveApprovedRef.current && document.visibilityState === "hidden" && hasUnsavedCanvasChanges()) {
-        writeCanvasDraft(id, { base: savedCanvasSnapshotRef.current!.snapshot, snapshot: JSON.stringify({ canvasData: buildPersistedCanvasData() }) });
-      }
-    };
-    const retryTimer = window.setInterval(() => {
-      if (document.visibilityState === "visible" && navigator.onLine && canvasSyncErrorRef.current) retrySync();
-    }, 20_000);
-    window.addEventListener("online", retrySync);
-    window.addEventListener("focus", retrySync);
-    document.addEventListener("visibilitychange", onVisibilityChange);
-    return () => {
-      window.clearInterval(retryTimer);
-      window.removeEventListener("online", retrySync);
-      window.removeEventListener("focus", retrySync);
-      document.removeEventListener("visibilitychange", onVisibilityChange);
-    };
-  }, [buildPersistedCanvasData, hasUnsavedCanvasChanges, id, isAgentMode, isAgentOperationRefreshActive, isLoading, persistCanvasState]);
 
   useEffect(() => {
     if (isLoading || isAgentOperationRefreshActive()) return;
@@ -5506,7 +5196,6 @@ export default function CanvasEditorLegacyPage({
       }
 
       try {
-        const beforeRead = useCanvasStore.getState();
         const revisionResponse = await fetch(`/api/canvas/${id}/revision`, {
           cache: "no-store",
         });
@@ -5527,11 +5216,7 @@ export default function CanvasEditorLegacyPage({
         }
 
         const result = await canvasService.getProject(id);
-        const current = useCanvasStore.getState();
+        if (cancelled || canvasRemoteOperationActive.current || !result.success || !result.data) return;
-        if (
-          cancelled || canvasRemoteOperationActive.current || !result.success || !result.data ||
-          current.projectId !== id || current.nodes !== beforeRead.nodes || current.edges !== beforeRead.edges
-        ) return;
         useCanvasStore.getState().markAgentOperationRefresh();
         hydrateCanvasProject(result.data);
         lastLocalCanvasMutationAtRef.current = Date.now();
@@ -5585,25 +5270,14 @@ export default function CanvasEditorLegacyPage({
     }
   }, [isAgentMode, isAgentOperationRefreshActive, nodes, isLoading, persistCanvasState]);
 
-  // 浏览器离开确认只保护尚未同步的内容；真正离开时保留草稿并发送一次保存。
+  // 页面关闭/刷新前尝试做一次 keepalive 保存，降低“刚删就刷新”回滚概率
   useEffect(() => {
     if (isLoading || isAgentMode) return;
 
-    const retainDraft = () => {
+    const handleBeforeUnload = () => {
-      if (canvasLeaveApprovedRef.current || !hasUnsavedCanvasChanges()) return null;
-      const canvasData = buildPersistedCanvasData();
-      writeCanvasDraft(id, { base: savedCanvasSnapshotRef.current!.snapshot, snapshot: JSON.stringify({ canvasData }) });
-      return canvasData;
-    };
-    const handleBeforeUnload = (event: BeforeUnloadEvent) => {
-      if (!retainDraft()) return;
-      event.preventDefault();
-      event.returnValue = "true";
-    };
-    const handlePageHide = () => {
       try {
-        const canvasData = retainDraft();
+        if (isAgentOperationRefreshActive()) return;
-        if (!canvasData || isSaving || canvasRemoteOperationActive.current || isAgentOperationRefreshActive() || externalCanvasConflictRef.current) return;
+        const canvasData = buildPersistedCanvasData();
         const { canvasRevision, canvasUpdatedAt } = useCanvasStore.getState();
         void fetch(`/api/canvas/${id}`, {
           method: "PUT",
@@ -5622,20 +5296,18 @@ export default function CanvasEditorLegacyPage({
     };
 
     window.addEventListener("beforeunload", handleBeforeUnload);
-    window.addEventListener("pagehide", handlePageHide);
+    window.addEventListener("pagehide", handleBeforeUnload);
     return () => {
       window.removeEventListener("beforeunload", handleBeforeUnload);
-      window.removeEventListener("pagehide", handlePageHide);
+      window.removeEventListener("pagehide", handleBeforeUnload);
     };
   }, [
     activeCanvasWorkspaceType,
     buildPersistedCanvasData,
-    hasUnsavedCanvasChanges,
     id,
     isAgentOperationRefreshActive,
     isAgentMode,
     isLoading,
-    isSaving,
   ]);
 
   // 智能命名与缩略图逻辑
@@ -5719,12 +5391,21 @@ export default function CanvasEditorLegacyPage({
 
   // 保存画布 (手动触发保留作为备用，但UI上移除)
   const handleSave = useCallback(async () => {
-    if (await persistCanvasState("autosave")) {
+    setIsSaving(true);
+    const canvasData = buildPersistedCanvasData();
+    const result = await canvasService.saveCanvasState(
+      id,
+      canvasData,
+      activeCanvasWorkspaceType
+    );
+
+    if (result.success) {
       toast.success("保存成功");
     } else {
-      toast.error(canvasSyncErrorRef.current || "画布同步失败，请检查网络后重试");
+      toast.error(result.error || "保存失败");
     }
-  }, [persistCanvasState]);
+    setIsSaving(false);
+  }, [activeCanvasWorkspaceType, buildPersistedCanvasData, id]);
 
   // 更新标题
   const handleUpdateTitle = async () => {
@@ -9967,8 +9648,6 @@ export default function CanvasEditorLegacyPage({
         selectedBrandModel,
         appearanceRecognitionEnabled,
         selections: deferredSanitizedWorkflowSelections,
-        resolvedSelections: workflowPromptData?.selectionRequest === getWorkflowSelectionsRequest(deferredSanitizedWorkflowSelections)
-          ? workflowPromptData?.selections : undefined,
       });
 
       if (canceled) {
@@ -9991,7 +9670,6 @@ export default function CanvasEditorLegacyPage({
     selectedBrandModel,
     workflowInputs,
     workflowMaterials,
-    workflowPromptData,
   ]);
   useEffect(() => {
     workflowInputsRef.current = workflowInputs;
@@ -10113,23 +9791,15 @@ export default function CanvasEditorLegacyPage({
     [patchPersistedAgentWorkflowState]
   );
   const getLatestWorkflowContext = useCallback(() => {
-    const selections = workflowSelectionsRef.current;
     return buildAgentWorkflowComposerContext({
       config: resolvedWorkflowUiConfig || defaultAgentWorkflowUiConfig,
       inputs: workflowInputsRef.current,
       materials: workflowMaterialsRef.current,
       selectedBrandModel: selectedBrandModelRef.current,
       appearanceRecognitionEnabled: appearanceRecognitionEnabledRef.current,
-      selections,
+      selections: workflowSelectionsRef.current,
-      resolvedSelections: workflowPromptData?.selectionRequest === getWorkflowSelectionsRequest(selections)
-        ? workflowPromptData?.selections : undefined,
     });
-  }, [resolvedWorkflowUiConfig, workflowPromptData]);
+  }, [resolvedWorkflowUiConfig]);
-  const getWorkflowPromptStatus = useCallback(() => {
-    const currentRequest = getWorkflowSelectionsRequest(workflowSelectionsRef.current);
-    if (!currentRequest || currentRequest === workflowPromptData?.selectionRequest) return "ready";
-    return workflowPromptError && currentRequest === workflowSelectionRequest ? "error" : "loading";
-  }, [workflowPromptData, workflowPromptError, workflowSelectionRequest]);
   const effectiveSelectedAgentPresetId = null;
   const { data: selectedAgentPresetResponse } = useSWR<{
     success?: boolean;
@@ -10504,9 +10174,8 @@ export default function CanvasEditorLegacyPage({
       </div>
     ) : null;
 
-  const workflowStylePanel = useMemo(() => (
+  const workflowStylePanel = useMemo(
-    <div ref={setWorkflowTemplateMarker} className="space-y-3">
+    () => (
-      {workflowTemplates ? (
       <AgentWorkflowPanelDarkV2
         config={resolvedWorkflowUiConfig}
         embedded
@@ -10518,31 +10187,17 @@ export default function CanvasEditorLegacyPage({
         selections={sanitizedWorkflowSelections}
         showBrandStoreSection={false}
       />
-      ) : siteSettingsError && !siteSettingsData && !siteSettingsLoading ? (
+    ),
-        <p className="text-sm text-white/65">请先在上方重试加载品牌和类目。</p>
+    [
-      ) : !workflowTemplatesRequested ? (
+      handleWorkflowInputsChange,
-        <Button type="button" variant="outline" onClick={() => setWorkflowTemplatesRequested(true)}>加载风格模板</Button>
+      handleWorkflowMaterialsChange,
-      ) : (
+      handleWorkflowSelectionsChange,
-        <WorkflowLoadState name="风格模板" error={workflowTemplatesError} retrying={workflowTemplatesLoading} onRetry={() => void reloadWorkflowTemplates().catch(() => {})} />
+      resolvedWorkflowUiConfig,
-      )}
+      sanitizedWorkflowSelections,
-      {workflowPromptError && (
+      workflowInputs,
-        <WorkflowLoadState name="所选模板的提示词" error={workflowPromptError} retrying={workflowPromptLoading} onRetry={() => void reloadWorkflowPrompts().catch(() => {})} />
+      workflowMaterials,
-      )}
+    ]
-    </div>
+  );
-  ), [
-    handleWorkflowInputsChange, handleWorkflowMaterialsChange, handleWorkflowSelectionsChange,
-    reloadWorkflowPrompts, reloadWorkflowTemplates, resolvedWorkflowUiConfig, sanitizedWorkflowSelections,
-    siteSettingsData, siteSettingsError, siteSettingsLoading, workflowInputs, workflowMaterials, workflowPromptError,
-    workflowPromptLoading, workflowTemplates, workflowTemplatesError, workflowTemplatesLoading, workflowTemplatesRequested,
-  ]);
-
-  if (canvasLoadError && !isAgentMode) {
-    return <div role="alert" className="flex h-dvh flex-col items-center justify-center gap-4">
-      <p>{canvasLoadError}</p>
-      <Button onClick={() => setCanvasLoadAttempt(value => value + 1)}>重新加载画布</Button>
-      {loginDialogElement}
-    </div>;
-  }
 
   if (isAgentMode) {
     if (!hasActiveAgentProject) {
@@ -10577,20 +10232,17 @@ export default function CanvasEditorLegacyPage({
               theme="dark"
             />
           }
-          brandStorePanel={siteSettingsData?.agentWorkflowUiConfig ? (
+          brandStorePanel={
             <AgentWorkflowBrandStorePanel
               config={resolvedWorkflowUiConfig}
               inputs={workflowInputs}
               onInputsChange={handleWorkflowInputsChange}
               theme="dark"
             />
-          ) : (
+          }
-            <WorkflowLoadState name="品牌和类目" error={siteSettingsError} retrying={siteSettingsLoading} onRetry={() => void reloadSiteSettings().catch(() => {})} />
-          )}
           chatId={agentModeChatId}
           deletedResultCollections={agentProjectDeletedResultCollections}
           getLatestWorkflowContext={getLatestWorkflowContext}
-          getWorkflowPromptStatus={getWorkflowPromptStatus}
           materialSelectionPanel={
             isWorkflowMaterialStepEnabled ? (
               <AgentWorkflowMaterialSelectionPanel
@@ -10650,7 +10302,7 @@ export default function CanvasEditorLegacyPage({
   }
 
   return (
-    <CanvasRemoteOperationContext.Provider value={canvasRemoteOperationContext}>
+    <CanvasRemoteOperationContext.Provider value={runCanvasRemoteOperation}>
     <TooltipProvider>
       <div
         data-canvas-panel-open={isPanelOpen ? "true" : "false"}
@@ -10666,30 +10318,6 @@ export default function CanvasEditorLegacyPage({
         }
       >
         <CanvasAgentUiListener projectId={id} workspace="canvas" />
-        <Dialog open={Boolean(canvasLeaveUrl)} onOpenChange={open => { if (!open && !isSavingBeforeLeave) setCanvasLeaveUrl(""); }}>
-          <DialogContent onEscapeKeyDown={event => { if (isSavingBeforeLeave) event.preventDefault(); }} onPointerDownOutside={event => event.preventDefault()}>
-            <DialogHeader>
-              <DialogTitle>离开前保存画布？</DialogTitle>
-              <DialogDescription>平时会自动保存。当前还有改动尚未同步到云端，可以保存后离开，或放弃这些未同步的改动。</DialogDescription>
-            </DialogHeader>
-            {canvasLeaveError ? <p role="alert" className="text-sm text-destructive">{canvasLeaveError}</p> : null}
-            <DialogFooter className="gap-2">
-              <Button disabled={isSavingBeforeLeave} variant="ghost" onClick={() => setCanvasLeaveUrl("")}>继续编辑</Button>
-              <Button disabled={isSavingBeforeLeave} variant="outline" onClick={() => void finishCanvasLeave(false)}>不保存并离开</Button>
-              <Button disabled={isSavingBeforeLeave} onClick={() => void finishCanvasLeave(true)}>{isSavingBeforeLeave ? "正在保存…" : "保存并离开"}</Button>
-            </DialogFooter>
-          </DialogContent>
-        </Dialog>
-        {canvasSyncConflicts.length > 0 ? (
-          <div role="alert" className="absolute inset-x-3 top-28 z-[60] mx-auto flex max-w-2xl flex-wrap items-center gap-3 rounded-lg border bg-background p-4 text-sm shadow-md">
-            <div className="min-w-0 flex-1 basis-64">
-              <p className="font-medium">画布同步发生冲突</p>
-              <p className="mt-1 text-muted-foreground">本页和云端的同一内容有不同修改。请选择保留哪边的冲突内容，其余图片和修改会合并保留。</p>
-            </div>
-            <Button disabled={isSaving} onClick={() => void resolveCanvasSyncConflict("local")}>保留本页修改</Button>
-            <Button disabled={isSaving} variant="outline" onClick={() => void resolveCanvasSyncConflict("remote")}>保留云端修改</Button>
-          </div>
-        ) : null}
         {/* 1. Canvas Layer (Full Screen) - 使用 key 强制在 id 变化时重新挂载 */}
         <div
           className="absolute inset-0 z-0"
@@ -11399,12 +11027,14 @@ export default function CanvasEditorLegacyPage({
 
         {isVideoMode ? brandEntry : (
           <CanvasSurfaceHeader
+            isSaving={isSaving}
             onAddImage={handleAddImageNode}
-            onHome={() => requestCanvasLeave("/")}
+            onHome={goHome}
             onOpenFiles={() => {
               setIsPanelOpen(true);
               setPanelMode("fileList");
             }}
+            onSave={() => void handleSave()}
             projectTitle={projectTitle}
             rightInset={panelOcclusionRight}
           />
@@ -11509,7 +11139,6 @@ export default function CanvasEditorLegacyPage({
                   createUrl={createNewCanvasUrl}
                   currentId={id}
                   onClose={() => setPanelMode("chat")}
-                  onNavigate={requestCanvasLeave}
                   workspaceLabel={workspaceLabel}
                   workspaceType={activeCanvasWorkspaceType}
                 />

app/canvas/[id]/style-pro/page.tsx

@@ -48,13 +48,8 @@ export default function CanvasStyleProPage() {
       const canvasData = result.data.canvasData;
       const latestState = useCanvasStore.getState();
       setProject(result.data.id, result.data.title);
-      if (
+      if (latestState.nodes.length === 0 && latestState.edges.length === 0) {
-        latestState.projectId !== id ||
-        (latestState.nodes.length === 0 && latestState.edges.length === 0)
-      ) {
         loadCanvas(canvasData);
-        const revision = String(result.data.updatedAt || "");
-        useCanvasStore.getState().setCanvasRevision(revision, revision);
         return;
       }
 

app/layout.tsx

@@ -3,8 +3,6 @@ import { Toaster } from "sonner";
 import { ThemeProvider } from "@/components/theme-provider";
 import { FaviconUpdater } from "@/components/favicon-updater";
 import { ImageDeliveryOptimizer } from "@/components/image-delivery-optimizer";
-import { AppUpdateNotice } from "@/components/app-update-notice";
-import { PAGE_DOWNLOAD_ACTIVE_ATTRIBUTE } from "@/lib/client/page-refresh";
 import { getSiteSettings } from "@/lib/db/queries";
 
 import "./globals.css";
@@ -143,7 +141,7 @@ const CHUNK_ERROR_RECOVERY_SCRIPT = `\
       showManualRecoveryNotice();
       return;
     }
-    if (lastReloadAt || document.documentElement.hasAttribute('${PAGE_DOWNLOAD_ACTIVE_ATTRIBUTE}')) return;
+    if (lastReloadAt) return;
     var now = Date.now();
     // If storage is blocked, a reload cannot remember its attempt and must not run.
     if (!safeSetSessionStorage(RECOVERY_KEY, String(now))) return;
@@ -154,10 +152,6 @@ const CHUNK_ERROR_RECOVERY_SCRIPT = `\
         showManualRecoveryNotice();
         return;
       }
-      if (document.documentElement.hasAttribute('${PAGE_DOWNLOAD_ACTIVE_ATTRIBUTE}')) {
-        if (safeSetSessionStorage(RECOVERY_KEY, '0')) lastReloadAt = 0;
-        return;
-      }
       window.location.reload();
     }, 800);
   }
@@ -221,7 +215,6 @@ export default function RootLayout({
           enableSystem
         >
           <Toaster position="top-center" />
-          <AppUpdateNotice />
           <SessionProvider>{children}</SessionProvider>
         </ThemeProvider>
       </body>

components/agents/AgentGenerationWorkspaceDarkV2.tsx

@@ -2,7 +2,6 @@
 import { downloadOriginalImage, getCanvasImageDownloadErrorMessage } from "@/lib/client/canvas-image-download";
 
 import { useChat } from "@ai-sdk/react";
-import { BEFORE_PAGE_REFRESH, type PageRefreshRequest } from "@/lib/client/page-refresh";
 import { appendGenerationMessage, mergeGenerationHistory, parseAppendedGenerationMessage, recoverReplacementRun } from "@/lib/agents/replacement-run-recovery";
 import { getSceneRunResult } from "@/lib/agents/scene-run-recovery";
 import type { DetailReplacementBatchCard } from "@/lib/agents/detail-replacement-batch";
@@ -159,7 +158,6 @@ import type {
 } from "@/types/agent";
 import {
   createEmptyAgentModeWorkspaceState,
-  MAX_DETAIL_REPLACEMENT_REFERENCES,
 } from "@/lib/agents/mode-workspace-state";
 import {
   createEmptyAgentGenerationProjectWorkspaceState,
@@ -177,7 +175,6 @@ export interface AgentGenerationWorkspaceDarkV2Props {
   workflowFeatureSettings?: AgentWorkflowPageFeatureSettings | null;
   workflowPromptOptimizationEnabled?: boolean;
   getLatestWorkflowContext?: () => AgentWorkflowComposerContext | null;
-  getWorkflowPromptStatus?: () => "ready" | "loading" | "error";
   onBack?: () => void;
   brandStorePanel?: ReactNode;
   materialSelectionPanel?: ReactNode;
@@ -214,7 +211,6 @@ export interface AgentGenerationWorkspaceDarkV2Props {
 interface AgentWorkflowModelOption {
   id: string;
   displayName: string;
-  providerName?: string;
   providerType: string;
   supportsImageGen?: boolean;
   isMultimodal?: boolean;
@@ -2645,9 +2641,7 @@ function getStoredAgentPendingGenerations(): LocalGenerationPendingState[] {
           ? record.requestedCardIds
               .map((entry) => String(entry || "").trim())
               .filter(Boolean)
-              .slice(0, record.modeType === "detail_replacement"
+              .slice(0, MAX_AGENT_MODE_REFERENCE_COUNT)
-                ? MAX_DETAIL_REPLACEMENT_REFERENCES
-                : MAX_AGENT_MODE_REFERENCE_COUNT)
           : null,
       } satisfies LocalGenerationPendingState;
     });
@@ -3090,7 +3084,6 @@ export function AgentGenerationWorkspaceDarkV2({
   workflowFeatureSettings = null,
   workflowPromptOptimizationEnabled = true,
   getLatestWorkflowContext,
-  getWorkflowPromptStatus,
   onBack,
   brandStorePanel,
   materialSelectionPanel,
@@ -3388,13 +3381,12 @@ export function AgentGenerationWorkspaceDarkV2({
     }
   );
 
-  const { data: modelsData, error: modelsError, mutate: refreshModels } = useSWR<{
+  const { data: modelsData } = useSWR<{
     models: AgentWorkflowModelOption[];
     defaultModelId?: string | null;
     agentWorkflowConfiguredDefaultModelId?: string | null;
     agentWorkflowDefaultModelId?: string | null;
     agentWorkflowConfiguredModels?: AgentWorkflowModelOption[];
-    detailReplacementModel?: AgentWorkflowModelOption | null;
     agentModel?: any;
   }>("/api/models", fetcher);
 
@@ -3440,6 +3432,17 @@ export function AgentGenerationWorkspaceDarkV2({
   const activeBusinessModeDefaultModelId = !requiresPresetSelection
     ? String(activeBusinessMode?.defaultModelId || "").trim() || null
     : null;
+  const lockedWorkflowModelId =
+    activeBusinessModeDefaultModelId ||
+    selectedAgentPreset?.defaultModelId ||
+    modelsData?.agentWorkflowConfiguredDefaultModelId ||
+    modelsData?.agentWorkflowDefaultModelId ||
+    null;
+  const isWorkflowModelLocked = Boolean(lockedWorkflowModelId);
+  const effectiveDefaultModelId =
+    lockedWorkflowModelId ||
+    modelsData?.defaultModelId ||
+    null;
   const presetDrivenResultModeType: AgentGenerationResultModeType =
     selectedAgentPreset?.type === "image" && presetModeConfig.modeType === "detail_replacement"
       ? detailReplacementMethod === "ai_detail_generate"
@@ -3455,19 +3458,6 @@ export function AgentGenerationWorkspaceDarkV2({
   const currentResultModeType: AgentGenerationResultModeType = requiresPresetSelection
     ? presetDrivenResultModeType
     : businessModeResultModeType;
-  const detailReplacementModel = currentResultModeType === "detail_replacement"
-    ? modelsData?.detailReplacementModel
-    : null;
-  const isDetailReplacementModelLoading = currentResultModeType === "detail_replacement" && !modelsData;
-  const lockedWorkflowModelId =
-    detailReplacementModel?.id ||
-    activeBusinessModeDefaultModelId ||
-    selectedAgentPreset?.defaultModelId ||
-    modelsData?.agentWorkflowConfiguredDefaultModelId ||
-    modelsData?.agentWorkflowDefaultModelId ||
-    null;
-  const isWorkflowModelLocked = Boolean(lockedWorkflowModelId);
-  const effectiveDefaultModelId = lockedWorkflowModelId || modelsData?.defaultModelId || null;
   const isSceneGenerationPreset = currentResultModeType === "scene_generation";
   const isDetailReplacementPreset =
     currentResultModeType === "detail_replacement" ||
@@ -4119,15 +4109,12 @@ export function AgentGenerationWorkspaceDarkV2({
   );
   const executableModelOptions = useMemo(() => {
     const seen = new Set<string>();
-    const workflowModels = detailReplacementModel
+    return [...selectableModels, ...configuredWorkflowModels].filter((model) => {
-      ? [detailReplacementModel, ...configuredWorkflowModels]
-      : configuredWorkflowModels;
-    return [...selectableModels, ...workflowModels].filter((model) => {
       if (seen.has(model.id)) return false;
       seen.add(model.id);
       return true;
     });
-  }, [configuredWorkflowModels, detailReplacementModel, selectableModels]);
+  }, [configuredWorkflowModels, selectableModels]);
   const executableModelIdSet = useMemo(
     () => new Set(executableModelOptions.map((model) => model.id)),
     [executableModelOptions]
@@ -4146,9 +4133,8 @@ export function AgentGenerationWorkspaceDarkV2({
       selectableModels[0],
     [executableModelOptions, lockedWorkflowModel, selectableModels, selectedModelId]
   );
-  const lockedWorkflowModelLabel = detailReplacementModel?.providerName
+  const lockedWorkflowModelLabel =
-    ? `${detailReplacementModel.displayName} 「${detailReplacementModel.providerName}」`
+    lockedWorkflowModel?.displayName ||
-    : lockedWorkflowModel?.displayName ||
     selectedAgentPreset?.defaultModel?.displayName ||
     (lockedWorkflowModelId ? `配置模型不可用（${lockedWorkflowModelId}）` : "未配置");
   const [activeToolStep, setActiveToolStep] = useState<ToolStepKey>("settings");
@@ -4893,14 +4879,6 @@ export function AgentGenerationWorkspaceDarkV2({
     return recoverReplacementRun({ messages, ...pendingGeneration });
   }, [messages, pendingGeneration]);
   const transportIsGenerating = status === "streaming" || status === "submitted";
-  useEffect(() => {
-    const beforeRefresh = (event: Event) => {
-      if (transportIsGenerating || pendingGeneration)
-        (event as CustomEvent<PageRefreshRequest>).detail.block("当前生图任务仍在处理中，请等待结果返回后再刷新。原任务无需重新提交。");
-    };
-    window.addEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-    return () => window.removeEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-  }, [transportIsGenerating, pendingGeneration]);
   const pendingGenerationProgressCount = useMemo(() => {
     if (!pendingGeneration) {
       return 0;
@@ -6327,24 +6305,10 @@ export function AgentGenerationWorkspaceDarkV2({
       toast.error(`请先查询并选择${detailReferenceSourceLabel}参考图`);
       return;
     }
-    if (isDetailReplacementModelLoading) {
-      if (modelsError) {
-        toast.error("详情替换模型加载失败，正在重新读取");
-        void refreshModels().catch(() => {});
-      } else {
-        toast.info("正在读取详情替换模型，请稍候");
-      }
-      return;
-    }
     if (isSkuReplacementPreset && skuReplacementReferenceCards.length === 0) {
       toast.error(`请先查询并选择${skuReferenceSourceLabel}参考图`);
       return;
     }
-    const promptStatus = getWorkflowPromptStatus?.();
-    if (promptStatus === "loading" || promptStatus === "error") {
-      toast.error(promptStatus === "error" ? "请先在风格模板区重试加载提示词" : "正在加载所选模板的提示词，请稍候");
-      return;
-    }
     const resolvedWorkflowContext = getLatestWorkflowContext?.() ?? workflowContext;
     if (
       isDetailReplacementPreset &&
@@ -6403,10 +6367,6 @@ export function AgentGenerationWorkspaceDarkV2({
     }
     if (replacementModeType === "detail_replacement") {
       if (detailBatchSubmittingRef.current) return;
-      if (replacementExecutionCards.length > MAX_DETAIL_REPLACEMENT_REFERENCES) {
-        toast.error(`本次选中了 ${replacementExecutionCards.length} 张详情参考图，一次最多替换 ${MAX_DETAIL_REPLACEMENT_REFERENCES} 张，请减少本次选择后重试`);
-        return;
-      }
       if (!isValidChatUuid(projectId)) {
         toast.error("当前风格化项目尚未保存，请先保存项目后再执行详情替换");
         return;
@@ -6427,14 +6387,13 @@ export function AgentGenerationWorkspaceDarkV2({
           const saved = await onPersistProject?.();
           if (saved === false) throw new Error("项目尚未保存，请重试");
           const requestId = generateUUID();
-          const response = await fetch("/api/agents/detail-replacement/batches", {
+          const response = await fetchWithErrorHandlers("/api/agents/detail-replacement/batches", {
             method: "POST",
             headers: { "Content-Type": "application/json" },
             body: JSON.stringify({
               projectId,
               requestId,
               model: resolvedModelId,
-              expectedModelId: resolvedModelId === "auto" ? undefined : resolvedModelId,
               imageSize: imageParams.imageSize,
               replacementStrategy: detailReplacementStrategy,
               prompt: detailReplacementStrategy === "product_only"
@@ -6458,7 +6417,6 @@ export function AgentGenerationWorkspaceDarkV2({
           });
           const payload = await response.json().catch(() => ({}));
           if (!response.ok || !payload?.task?.id) {
-            if (payload?.code === "DETAIL_REPLACEMENT_MODEL_CHANGED") void refreshModels().catch(() => {});
             throw new Error(payload?.error || "详情替换任务提交失败");
           }
           setPendingGeneration({
@@ -6646,8 +6604,6 @@ export function AgentGenerationWorkspaceDarkV2({
     input,
     isDetailAiGenerationMethod,
     isDetailReplacementPreset,
-    isDetailReplacementModelLoading,
-    modelsError,
     isSelectedBusinessModeUnavailable,
     isSkuReplacementPreset,
     effectiveDefaultModelId,
@@ -6664,7 +6620,6 @@ export function AgentGenerationWorkspaceDarkV2({
     skuResultCards,
     userMessageCount,
     getLatestWorkflowContext,
-    getWorkflowPromptStatus,
     isSceneGenerationPreset,
     workflowContext,
     sceneMessageAttachments,
@@ -6675,7 +6630,6 @@ export function AgentGenerationWorkspaceDarkV2({
     onPersistProject,
     projectId,
     refreshDetailBatch,
-    refreshModels,
   ]);
   const handleStopGeneration = useCallback(() => {
     detailGenerationCancelRef.current = true;
@@ -7839,11 +7793,6 @@ export function AgentGenerationWorkspaceDarkV2({
       toast.error(detailGenerationValidationIssues[0] || "请先补齐 AI详情生成参数");
       return;
     }
-    const promptStatus = getWorkflowPromptStatus?.();
-    if (promptStatus === "loading" || promptStatus === "error") {
-      toast.error(promptStatus === "error" ? "请先在风格模板区重试加载提示词" : "正在加载所选模板的提示词，请稍候");
-      return;
-    }
 
     const productAttachments = detailGenerationProductSlotIndexes.map((index) =>
       detailGenerationSlots[index]
@@ -9448,11 +9397,9 @@ export function AgentGenerationWorkspaceDarkV2({
                         </Select>
                       ) : (
                         <div className="rounded-[24px] border border-white/10 bg-black/30 px-4 py-3 text-sm text-white/70">
-                          {isDetailReplacementModelLoading
+                          {isWorkflowModelLocked ? "后台已锁定生图模型：" : "当前生图模式使用默认模型："}
-                            ? modelsError ? "详情替换模型加载失败，点击批量替换可重试" : "正在读取详情替换模型"
-                            : isWorkflowModelLocked ? "后台已锁定生图模型：" : "当前生图模式使用默认模型："}
                           <span className="ml-2 font-medium text-white">
-                            {isDetailReplacementModelLoading ? null : isWorkflowModelLocked
+                            {isWorkflowModelLocked
                               ? lockedWorkflowModelLabel
                               : currentModel?.displayName || "自动选择"}
                           </span>

components/agents/AgentWorkflowBrandModelPicker.tsx

@@ -3,7 +3,6 @@
 import { useMemo } from "react";
 import useSWR from "swr";
 import { Check, ImageIcon, Loader2, UserRound } from "lucide-react";
-import { AgentPreviewImage } from "@/components/agents/AgentPreviewImage";
 import { Button } from "@/components/ui/button";
 import { cn, fetcher } from "@/lib/utils";
 import { normalizeAgentWorkflowBrandModelConfig } from "@/lib/agents/workflow-brand-model-config";
@@ -230,11 +229,12 @@ export function AgentWorkflowBrandModelPicker({
                       isDark ? "bg-white/[0.04]" : "bg-muted/40"
                     )}
                   >
-                    <AgentPreviewImage
+                    <img
                       src={image.imageUrl}
                       alt={image.displayName || `${normalizedBrand} 模特图`}
                       className="h-full w-full object-cover"
-                      previewWidth={360}
+                      loading="lazy"
+                      decoding="async"
                     />
                     <div className="absolute inset-x-0 top-0 flex items-center justify-between px-2 py-2">
                       <span className="rounded-full bg-black/60 px-2 py-1 text-[11px] text-white">

components/app-update-notice.tsx

@@ -1,77 +0,0 @@
-"use client";
-
-import { useEffect, useState, useSyncExternalStore } from "react";
-import { Button } from "@/components/ui/button";
-import { AlertDialog, AlertDialogContent, AlertDialogHeader, AlertDialogTitle, AlertDialogDescription, AlertDialogFooter } from "@/components/ui/alert-dialog";
-import { isPageDownloadActive, preparePageRefresh, subscribeToPageDownloadActivity } from "@/lib/client/page-refresh";
-
-export function AppUpdateNotice() {
-  const [availableVersion, setAvailableVersion] = useState("");
-  const [refreshing, setRefreshing] = useState(false);
-  const [error, setError] = useState("");
-  const downloading = useSyncExternalStore(subscribeToPageDownloadActivity, isPageDownloadActive, () => false);
-  useEffect(() => {
-    let disposed = false;
-    let controller: AbortController | undefined;
-    let checking = false;
-    const check = async () => {
-      if (disposed || checking || document.visibilityState !== "visible") return;
-      checking = true;
-      controller = new AbortController();
-      const current = controller;
-      const timeout = window.setTimeout(() => current.abort(), 8000);
-      try {
-        const response = await fetch("/api/app-version", { cache: "no-store", signal: current.signal });
-        if (!response.ok) return;
-        const data = await response.json();
-        if (!disposed && !current.signal.aborted && typeof data.version === "string" && data.version)
-          setAvailableVersion(data.version !== (process.env.NEXT_PUBLIC_APP_RELEASE || "development") ? data.version : "");
-      } catch {
-        // A failed version read leaves the current workspace available.
-      } finally {
-        window.clearTimeout(timeout);
-        checking = false;
-      }
-    };
-    void check();
-    const interval = window.setInterval(check, 60_000);
-    window.addEventListener("focus", check);
-    window.addEventListener("online", check);
-    document.addEventListener("visibilitychange", check);
-    return () => {
-      disposed = true;
-      controller?.abort();
-      clearInterval(interval);
-      window.removeEventListener("focus", check);
-      window.removeEventListener("online", check);
-      document.removeEventListener("visibilitychange", check);
-    };
-  }, []);
-
-  const refresh = async () => {
-    if (refreshing) return;
-    setRefreshing(true);
-    setError("");
-    try {
-      await preparePageRefresh();
-      window.location.reload();
-      setRefreshing(false);
-    } catch (cause) {
-      setError(cause instanceof Error ? cause.message : "当前内容同步失败，请保留此页并重试。");
-      setRefreshing(false);
-    }
-  };
-  return <AlertDialog open={Boolean(availableVersion) && !downloading}>
-    <AlertDialogContent className="z-[10001]" overlayClassName="z-[10000]" onEscapeKeyDown={event => event.preventDefault()}>
-      <AlertDialogHeader>
-        <AlertDialogTitle>平台已更新</AlertDialogTitle>
-        <AlertDialogDescription>需要刷新页面后继续使用。点击后会先同步当前画布并保留输入；正在处理的任务完成后再刷新。</AlertDialogDescription>
-      </AlertDialogHeader>
-      {error ? <p role="alert" className="text-sm text-destructive">{error}</p> : null}
-      <AlertDialogFooter>
-        {error ? <Button variant="outline" disabled={refreshing} onClick={() => { setAvailableVersion(""); setError(""); }}>返回处理</Button> : null}
-        <Button disabled={refreshing} onClick={() => void refresh()}>{refreshing ? "正在同步内容…" : "同步并刷新"}</Button>
-      </AlertDialogFooter>
-    </AlertDialogContent>
-  </AlertDialog>;
-}

components/canvas/CanvasChatPanel.tsx

@@ -2,13 +2,9 @@
 
 import { advancePastAtomicRanges, scanMarkdownImageStreaming } from "@/lib/canvas/markdown-image-streaming";
 import { useChat } from "@ai-sdk/react";
-import { useStickToBottom } from "use-stick-to-bottom";
 import { DefaultChatTransport } from "ai";
 import { shouldUseCanvasAgentRuntime } from "@/lib/ai/canvas-agent-runtime/routing";
 import { CanvasAgentProgressMessage } from "@/components/canvas/chat-panel/canvas-agent-progress";
-import { useCanvasRemoteOperation, useCanvasRemoteSnapshot } from "@/components/canvas/CanvasRemoteOperationContext";
-import { readCanvasComposerDraft, writeCanvasComposerDraft, clearCanvasComposerDraft } from "@/lib/client/canvas-draft";
-import { BEFORE_PAGE_REFRESH, type PageRefreshRequest } from "@/lib/client/page-refresh";
 import { canvasHistoryForChat } from "@/lib/client/canvas-history-response";
 import { useCanvasAgentRun } from "@/components/canvas/chat-panel/use-canvas-agent-run";
 import { canvasAgentProgress, type CanvasAgentProgress } from "@/lib/ai/canvas-agent-runtime/progress";
@@ -71,14 +67,13 @@ import { toast } from "sonner";
 import { useCanvasStore } from "@/store/canvas";
 import { cn } from "@/lib/utils";
 import { getGatewayErrorPageMessage } from "@/lib/request-error";
-import { findImageGenerationFailure } from "@/lib/canvas/image-generation-status";
 import { fetcher, fetchWithErrorHandlers, generateUUID } from "@/lib/utils";
 import {
   fetchUploadWithRetry,
   type UploadProgress,
 } from "@/lib/client/upload-with-retry";
 import {
-  downloadOriginalImage,
+  downloadCanvasImageAsPng,
   getCanvasImageDownloadErrorMessage,
   type CanvasImageDownloadProgress,
 } from "@/lib/client/canvas-image-download";
@@ -1462,7 +1457,7 @@ function normalizeComposerPreviewTail(text: string, fixedPrefix: string) {
 }
 
 // 获取图片尺寸（保留原图分辨率 + 画布显示尺寸）
-function getImageDimensions(source: string | File): Promise<{
+function getImageDimensions(url: string): Promise<{
   width: number;
   height: number;
   originalWidth: number;
@@ -1470,7 +1465,6 @@ function getImageDimensions(source: string | File): Promise<{
 }> {
   return new Promise((resolve) => {
     const img = new Image();
-    const objectUrl = typeof source === "string" ? null : URL.createObjectURL(source);
     let settled = false;
     const resolveOnce = (dimensions: {
       width: number;
@@ -1483,11 +1477,9 @@ function getImageDimensions(source: string | File): Promise<{
       window.clearTimeout(timeout);
       img.onload = null;
       img.onerror = null;
-      if (objectUrl) URL.revokeObjectURL(objectUrl);
       resolve(dimensions);
     };
     const timeout = window.setTimeout(() => {
-      img.removeAttribute("src");
       resolveOnce(DEFAULT_CANVAS_IMAGE_DIMENSIONS);
     }, CANVAS_IMAGE_DIMENSION_TIMEOUT_MS);
 
@@ -1520,7 +1512,7 @@ function getImageDimensions(source: string | File): Promise<{
       // 加载失败时使用默认尺寸
       resolveOnce(DEFAULT_CANVAS_IMAGE_DIMENSIONS);
     };
-    img.src = objectUrl ?? String(source);
+    img.src = url;
   });
 }
 
@@ -3250,8 +3242,6 @@ export function CanvasChatPanel({
   onRequireLogin,
   onBeforeAgentRequest,
 }: CanvasChatPanelProps) {
-  const runCanvasRemoteOperation = useCanvasRemoteOperation();
-  const applyCanvasRemoteSnapshot = useCanvasRemoteSnapshot();
   const isWorkspacePresentation = presentation === "workspace";
   const isVideoWorkspace = workspaceVariant === "video";
   const propCanvasToolbarConfig = useMemo(
@@ -3350,7 +3340,6 @@ export function CanvasChatPanel({
   const activeChatIdRef = useRef<string>(requestedChatSessionId || chatId);
   const activeMessagesRef = useRef<ChatMessage[]>([]);
   const inFlightChatIdRef = useRef<string | null>(null);
-  const imageGenerationUserMessageIdsRef = useRef<Record<string, string>>({});
   const inFlightRawChatIdRef = useRef<string | null>(null);
   const [chatSessions, setChatSessions] = useState<CanvasChatSession[]>([]);
   const [isSessionMenuOpen, setIsSessionMenuOpen] = useState(false);
@@ -3372,15 +3361,15 @@ export function CanvasChatPanel({
   const latestCanvasSkillTagsRef = useRef<CanvasSkillTag[]>([]);
   const pendingCanvasSkillTagOrderSaveRef = useRef<string[] | null>(null);
   const suppressSkillTagClickRef = useRef(false);
-  const { scrollRef: messagesScrollRef, contentRef: messagesContentRef, scrollToBottom: scrollMessagesToBottom, isAtBottom: isMessageListAtBottom } = useStickToBottom({ initial: false, resize: "instant" });
+  const [messageViewportKey, setMessageViewportKey] = useState(0);
-  const initialScrollChatRef = useRef<string | null>(null);
+  const messagesEndRef = useRef<HTMLDivElement>(null);
   const fileInputRef = useRef<HTMLInputElement>(null);
   const clawdFolderInputRef = useRef<HTMLInputElement | null>(null);
   const videoSlotInputRefs = useRef<Array<HTMLInputElement | null>>([]);
   const agentSlotInputRefs = useRef<Array<HTMLInputElement | null>>([]);
   const detailSlotInputRefs = useRef<Array<HTMLInputElement | null>>([]);
   const [clawdTableFiles, setClawdTableFiles] = useState<File[]>([]);
-  const textareaRef = useRef<HTMLTextAreaElement | null>(null);
+  const textareaRef = useRef<HTMLTextAreaElement>(null);
   const detailModeSwitchRef = useRef(false);
   const hiddenPromptRef = useRef<string | null>(null);
   const autoContextRef = useRef<string | null>(null);
@@ -3409,6 +3398,7 @@ export function CanvasChatPanel({
   const hasInitializedVideoWorkspaceRef = useRef(false);
   const sessionMenuRef = useRef<HTMLDivElement>(null);
   const clawdHistoryMenuRef = useRef<HTMLDivElement>(null);
+  const historyScrollTimerRef = useRef<ReturnType<typeof setTimeout> | null>(null);
   const forceHistoryHydrationRef = useRef<string | null>(null);
   const copiedUserMessageRef = useRef<CopiedUserMessagePayload | null>(null);
   const composerUserEditedAtRef = useRef(0);
@@ -3652,20 +3642,17 @@ export function CanvasChatPanel({
 
   const setStreamImageGenerationStateForChat = useCallback(
     (chatSessionId: string, next: ImageGenerationStatusStreamPayload | null) => {
-      const userMessageId = imageGenerationUserMessageIdsRef.current[chatSessionId];
-      if (next?.userMessageId && userMessageId && next.userMessageId !== userMessageId) return;
       setStreamImageGenerationStateByChatId((prev) => ({
         ...prev,
-        [chatSessionId]: next ? { ...next, userMessageId: next.userMessageId || userMessageId } : null,
+        [chatSessionId]: next,
       }));
     },
     []
   );
 
-  const clearStreamImageGenerationStateForChat = useCallback((chatSessionId: string, preserveFailure = false) => {
+  const clearStreamImageGenerationStateForChat = useCallback((chatSessionId: string) => {
     setStreamImageGenerationStateByChatId((prev) => {
       if (!(chatSessionId in prev)) return prev;
-      if (preserveFailure && prev[chatSessionId]?.phase === "failed") return prev;
       const next = { ...prev };
       delete next[chatSessionId];
       return next;
@@ -4467,15 +4454,17 @@ export function CanvasChatPanel({
     setDownloadProgress({
       phase: "preparing",
       message: "正在准备原图...",
+      percent: 5,
     });
 
     try {
-      await downloadOriginalImage({
+      await downloadCanvasImageAsPng({
         url: originalUrl,
+        candidates: [raw, buildImageProxyUrl(originalUrl, { delivery: "proxy" })],
         signal: controller.signal,
         onProgress: setDownloadProgress,
       });
-      toast.success("已开始下载");
+      toast.success("原图已开始下载");
     } catch (error) {
       if (controller.signal.aborted) {
         toast.message("已取消下载");
@@ -5036,15 +5025,6 @@ export function CanvasChatPanel({
     console.log('[CanvasChat] 已插入图片标签:', url.substring(0, 50));
   }, []);
 
-  const setComposerEditorRef = useCallback((editor: HTMLDivElement | null) => {
-    textareaRef.current = editor as unknown as HTMLTextAreaElement;
-    if (!editor) return;
-    const draft = readCanvasComposerDraft<PickedObjectAttachment>(activeChatId);
-    const text = activeChatIdRef.current === activeChatId ? inputRef.current || draft?.text : draft?.text;
-    if (text) editor.textContent = text;
-    draft?.attachments.forEach((attachment, index) => insertImageTagInEditor(attachment.url, attachment.name || "参考图片", index));
-  }, [activeChatId, insertImageTagInEditor]);
-
   const handleCopyUserMessage = useCallback(async (message: ChatMessage) => {
     const payload = getUserMessageCopyPayload(message);
     if (!payload.text && payload.attachments.length === 0) {
@@ -6109,7 +6089,7 @@ export function CanvasChatPanel({
   const activeComposerMode = unifiedImageAgent && (rawComposerMode === "image" || rawComposerMode === "video")
     ? "agent" : rawComposerMode;
   const isImageAgentComposer = unifiedImageAgent && activeComposerMode === "agent";
-  const [imageAgentEnabled, setImageAgentEnabled] = useState(true);
+  const [imageAgentEnabled, setImageAgentEnabled] = useState(false);
   const imageAgentEnabledRef = useRef(imageAgentEnabled);
   imageAgentEnabledRef.current = imageAgentEnabled;
   const isVideoToolbarDark = isVideoWorkspace || activeComposerMode === "video";
@@ -7807,6 +7787,7 @@ export function CanvasChatPanel({
           existingMessageImageKeys.add(messageImageKey);
         }
 
+        const dimensions = await getImageDimensions(url);
         if (useCanvasStore.getState().projectId !== canvasId || activeChatIdRef.current !== activeChatId) return;
         const compareSourceUrlRaw =
           sourceImageUrls[Math.min(index, Math.max(0, sourceImageUrls.length - 1))] ||
@@ -7839,7 +7820,7 @@ export function CanvasChatPanel({
         const placeholderNode = reservedPlaceholderNode
           ? currentNodes.find((node) => node.id === reservedPlaceholderNode.id) || null
           : null;
-        const size = placeholderNode?.size || anchorNode?.size || { width: 300, height: 300 };
+        const size = { width: dimensions.width, height: dimensions.height };
         const position = placeholderNode
           ? getCenteredReplacementPosition(placeholderNode, size)
           : getAnchoredGenerationPosition({
@@ -7857,6 +7838,8 @@ export function CanvasChatPanel({
           prompt: generationPrompt,
           originalSrc: canUseCompareSource ? compareSourceUrl : undefined,
           metadata: {
+            originalWidth: dimensions.originalWidth,
+            originalHeight: dimensions.originalHeight,
             generationPrompt,
             sourceMessageId: messageId || undefined,
             sourceImageKey,
@@ -7989,12 +7972,8 @@ export function CanvasChatPanel({
 
         const store = useCanvasStore.getState();
         store.markAgentOperationRefresh();
-        if (applyCanvasRemoteSnapshot) {
-          if (!applyCanvasRemoteSnapshot({ projectId: targetProjectId, canvasData: result.data.canvasData, updatedAt: String(result.data.updatedAt || "") })) return false;
-        } else {
         store.loadCanvas(result.data.canvasData);
         store.setCanvasRevision(String(result.data.updatedAt || ""), String(result.data.updatedAt || ""));
-        }
         if (createdNodeIds.length > 0) {
           const refreshedStore = useCanvasStore.getState();
           refreshedStore.selectNodes(createdNodeIds);
@@ -8022,7 +8001,7 @@ export function CanvasChatPanel({
         return false;
       }
     },
-    [applyCanvasRemoteSnapshot, applyCanvasViewOperation, canvasId, focusCanvasOnNode, mutate]
+    [applyCanvasViewOperation, canvasId, focusCanvasOnNode, mutate]
   );
   
   const {
@@ -8039,8 +8018,6 @@ export function CanvasChatPanel({
       api: "/api/chat",
       fetch: fetchWithErrorHandlers,
       async prepareSendMessagesRequest(request) {
-        const userMessageId = request.messages.findLast((item) => item.role === "user")?.id;
-        if (userMessageId) imageGenerationUserMessageIdsRef.current[request.id] = userMessageId;
         // 从 canvas-{uuid} 格式中提取纯 UUID，后端 schema 要求纯 UUID
         const rawId = request.id.startsWith('canvas-') 
           ? request.id.replace('canvas-', '') 
@@ -8153,27 +8130,20 @@ export function CanvasChatPanel({
           const payload: ImageGenerationStatusStreamPayload =
             typeof dataPart.data === "string" ? JSON.parse(dataPart.data) : dataPart.data;
           if (!payload || typeof payload !== "object") return;
-          const userMessageId = imageGenerationUserMessageIdsRef.current[eventChatId];
-          if (payload.userMessageId && userMessageId && payload.userMessageId !== userMessageId) return;
           if (payload.phase === "completed") {
             setStreamImageGenerationStateForChat(eventChatId, {
               phase: "finalizing",
-              userMessageId: payload.userMessageId,
               providerType: payload.providerType,
               modelName: getAgentSafeModelName(payload.modelName),
               imageCount: Number(payload.imageCount || 0) || undefined,
             });
             window.setTimeout(() => {
-              if (payload.userMessageId && imageGenerationUserMessageIdsRef.current[eventChatId] !== payload.userMessageId) return;
               clearStreamImageGenerationStateForChat(eventChatId);
             }, 30_000);
             return;
           }
           setStreamImageGenerationStateForChat(eventChatId, {
             phase: payload.phase || "processing",
-            userMessageId: payload.userMessageId,
-            requestId: payload.requestId,
-            failure: payload.failure,
             providerType: payload.providerType,
             modelName: getAgentSafeModelName(payload.modelName),
             imageCount: Number(payload.imageCount || 0) || undefined,
@@ -8441,11 +8411,6 @@ export function CanvasChatPanel({
               )
             : false;
           const normalizedParts = Array.isArray(messageData.parts) ? messageData.parts : [];
-          const failureStatus = findImageGenerationFailure(
-            [{ role: messageData.role, parts: normalizedParts }],
-            imageGenerationUserMessageIdsRef.current[eventChatId],
-          );
-          if (failureStatus) setStreamImageGenerationStateForChat(eventChatId, failureStatus);
           const normalizedAttachments = Array.isArray(messageData.attachments)
             ? messageData.attachments
             : [];
@@ -8514,7 +8479,7 @@ export function CanvasChatPanel({
             (hasImageGenEndMarker || incomingImageUrls.length > 0 || incomingVideoUrls.length > 0) &&
             !shouldDeferClearForActiveMedia
           ) {
-            clearStreamImageGenerationStateForChat(eventChatId, true);
+            clearStreamImageGenerationStateForChat(eventChatId);
           }
 
           if (!isEventForActiveChat) {
@@ -8840,6 +8805,12 @@ export function CanvasChatPanel({
         hasHydratedHistoryRef.current = true;
 
         setMessages(sortCanvasMessagesByCreatedAt(dbMessages));
+
+        if (dbMessages.length > 0) {
+          requestAnimationFrame(() => {
+            messagesEndRef.current?.scrollIntoView({ behavior: "auto", block: "end" });
+          });
+        }
       };
 
       const reloadMessagesOnce = async () => {
@@ -8952,7 +8923,7 @@ export function CanvasChatPanel({
     onRunChange: (run) => {
       // The live stream owns its message; polling only recovers disconnected replies.
       if (status === "submitted" || status === "streaming") return;
-      if (!run?.assistantMessageId || !run.assistantText || run.chatId !== toRawCanvasChatId(activeChatIdRef.current)) return;
+      if (!run?.assistantMessageId || !run.assistantText || run.chatId !== activeChatIdRef.current) return;
       // Recover the same assistant reply after a stream disconnect or refresh.
       setMessages(current => {
         const index = current.findIndex(message => message.id === run.assistantMessageId);
@@ -8967,33 +8938,6 @@ export function CanvasChatPanel({
   });
   const activeCanvasAgentRun = canvasAgentTask.run;
   const isCanvasAgentRunning = activeCanvasAgentRun?.status === "running";
-  useEffect(() => {
-    const beforeRefresh = (event: Event) => {
-      const request = (event as CustomEvent<PageRefreshRequest>).detail;
-      if (composerUploadProgress) {
-        request.block("素材仍在上传，请等待上传完成后再刷新。当前页面和输入已保留。");
-        return;
-      }
-      if (isCanvasAgentRunning || isClawdSubmitting || isDetailGenerating || status === "streaming" || status === "submitted" || Object.values(sendGuardRef.current).some(guard => guard.inFlight)) {
-        request.block("当前对话任务仍在处理中，请等待结果返回后再刷新。原任务会继续执行，无需重新提交。");
-        return;
-      }
-      request.save(async () => {
-        if ((input.trim() || attachments.length) && !writeCanvasComposerDraft(activeChatId, { text: input, attachments }))
-          throw new Error("浏览器无法保存当前输入，请保留此页并检查浏览器存储空间后重试。");
-      });
-    };
-    const beforeUnload = (event: BeforeUnloadEvent) => {
-      event.preventDefault();
-      event.returnValue = "true";
-    };
-    window.addEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-    if (composerUploadProgress) window.addEventListener("beforeunload", beforeUnload);
-    return () => {
-      window.removeEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-      window.removeEventListener("beforeunload", beforeUnload);
-    };
-  }, [activeChatId, input, attachments, composerUploadProgress, isCanvasAgentRunning, isClawdSubmitting, isDetailGenerating, status]);
 
   const restorePendingClawdRequestToComposer = useCallback(
     (snapshot: PendingClawdRequestRestoreSnapshot) => {
@@ -9137,7 +9081,6 @@ export function CanvasChatPanel({
       },
     } as ChatMessage;
 
-    void scrollMessagesToBottom({ animation: "instant" });
     sendMessage(launchUserMessage as any);
     setMessages((previousMessages) =>
       sortCanvasMessagesByCreatedAt([
@@ -9157,7 +9100,7 @@ export function CanvasChatPanel({
     if (editableDiv) {
       editableDiv.innerHTML = "";
     }
-  }, [activeChatId, rawChatId, selectedModelId, status, sendMessage, setMessages, clearSelection, launchAutoSendTick, activeComposerMode, scrollMessagesToBottom]);
+  }, [activeChatId, rawChatId, selectedModelId, status, sendMessage, setMessages, clearSelection, launchAutoSendTick, activeComposerMode]);
   
   // 当历史消息加载完成后，更新消息列表（支持同一会话的增量刷新）
   const loadedHistorySignatureRef = useRef<string>("");
@@ -9177,6 +9120,7 @@ export function CanvasChatPanel({
     hiddenPromptRef.current = null;
     autoContextRef.current = null;
     pendingLaunchRef.current = null;
+    setMessageViewportKey((prev) => prev + 1);
     setMessages([]);
     setInput("");
     setAttachments([]);
@@ -9191,20 +9135,11 @@ export function CanvasChatPanel({
   }, [activeChatId, setMessages]);
 
   useEffect(() => {
-    const draft = readCanvasComposerDraft<PickedObjectAttachment>(activeChatId);
+    if (historyScrollTimerRef.current) {
-    if (!draft || (input && input !== draft.text)) return;
+      clearTimeout(historyScrollTimerRef.current);
-    if (!input) setInput(draft.text);
+      historyScrollTimerRef.current = null;
-    setAttachments(draft.attachments);
+    }
-    const frame = requestAnimationFrame(() => {
-      const editor = textareaRef.current as HTMLDivElement | null;
-      if (!editor || getComposerPlainTextFromElement(editor).trim()) return;
-      editor.textContent = draft.text;
-      draft.attachments.forEach((attachment, index) => insertImageTagInEditor(attachment.url, attachment.name || "参考图片", index));
-    });
-    return () => cancelAnimationFrame(frame);
-  }, [activeChatId, activeComposerMode, input, insertImageTagInEditor]);
 
-  useEffect(() => {
     if (!historyData || !rawChatId) return;
     const historyMessages = historyData.messages || [];
     const isClawdHistory = isClawdMode || historyMessages.some(isClawdChatMessage);
@@ -9245,14 +9180,29 @@ export function CanvasChatPanel({
         missingPendingMessage ? [...historyMessages, pendingMessage] : historyMessages
       );
     });
+    setMessageViewportKey((prev) => prev + 1);
     console.log("[CanvasChat] 已同步历史消息:", historyMessages.length, signature);
 
-
+    if (historyMessages.length > 0) {
+      requestAnimationFrame(() => {
+        messagesEndRef.current?.scrollIntoView({ behavior: "auto", block: "end" });
+      });
+      historyScrollTimerRef.current = setTimeout(() => {
+        messagesEndRef.current?.scrollIntoView({ behavior: "auto", block: "end" });
+        historyScrollTimerRef.current = null;
+      }, 160);
+      return () => {
+        if (historyScrollTimerRef.current) {
+          clearTimeout(historyScrollTimerRef.current);
+          historyScrollTimerRef.current = null;
+        }
+      };
+    }
   }, [activeChatId, activeClawdRequestUi?.userMessageId, historyData, isClawdMode, isClawdSubmitting, rawChatId, setMessages, status]);
 
   useEffect(() => {
     const streamState = streamImageGenerationStateByChatId[activeChatId];
-    if (!rawChatId || !streamState || (streamState.phase === "failed" && streamState.failure?.outcome !== "unknown")) return;
+    if (!rawChatId || !streamState) return;
 
     let cancelled = false;
     const poll = async () => {
@@ -9276,13 +9226,6 @@ export function CanvasChatPanel({
     const streamState = streamImageGenerationStateByChatId[activeChatId];
     if (!streamState || messages.length === 0) return;
 
-    const failure = findImageGenerationFailure(messages, streamState.userMessageId || "");
-    if (failure && streamState.phase !== "failed") {
-      setStreamImageGenerationStateForChat(activeChatId, failure);
-      return;
-    }
-    if (streamState.phase === "failed" && streamState.failure?.outcome !== "unknown") return;
-
     const lastUserIndex = [...messages]
       .map((message) => message.role)
       .lastIndexOf("user");
@@ -9299,7 +9242,8 @@ export function CanvasChatPanel({
         .join("\n");
       return (
         extractAssistantImageUrls(textContent).length > 0 ||
-        extractVideoUrls(textContent).length > 0
+        extractVideoUrls(textContent).length > 0 ||
+        /失败|超时|重试|error|failed/i.test(textContent)
       );
     });
 
@@ -9320,7 +9264,6 @@ export function CanvasChatPanel({
     messages,
     streamImageGenerationStateByChatId,
     clearStreamImageGenerationStateForChat,
-    setStreamImageGenerationStateForChat,
   ]);
 
   useEffect(() => {
@@ -9581,6 +9524,7 @@ export function CanvasChatPanel({
             continue;
           }
 
+          const dimensions = await getImageDimensions(url);
           if (cancelled) return;
           const compareSourceUrlRaw =
             nearestUserImageUrls[Math.min(index, Math.max(0, nearestUserImageUrls.length - 1))] ||
@@ -9613,7 +9557,20 @@ export function CanvasChatPanel({
           const placeholderNode = reservedPlaceholderNode
             ? currentNodes.find((node) => node.id === reservedPlaceholderNode.id) || null
             : null;
-          const size = placeholderNode?.size || anchorNode?.size || { width: 300, height: 300 };
+          const size = placeholderNode
+            ? { width: dimensions.width, height: dimensions.height }
+            : anchorNode
+            ? {
+                width: Math.max(
+                  1,
+                  Math.round(Number(anchorNode.size?.width || dimensions.width))
+                ),
+                height: Math.max(
+                  1,
+                  Math.round(Number(anchorNode.size?.height || dimensions.height))
+                ),
+              }
+            : { width: dimensions.width, height: dimensions.height };
           const position = placeholderNode
             ? getCenteredReplacementPosition(placeholderNode, size)
             : getAnchoredGenerationPosition({
@@ -9632,6 +9589,8 @@ export function CanvasChatPanel({
             prompt: generationPrompt || "对话生成",
             originalSrc: canUseCompareSource ? compareSourceUrl : undefined,
             metadata: {
+              originalWidth: dimensions.originalWidth,
+              originalHeight: dimensions.originalHeight,
               generationPrompt: generationPrompt || undefined,
               sourceMessageId: message.id,
               sourceImageKey: imageEntry.sourceImageKey,
@@ -9811,13 +9770,11 @@ export function CanvasChatPanel({
     });
   }, [activeChatSessionMode, messages, nodes, updateNode]);
 
-  // Open each conversation at its latest message; later updates respect manual scrolling.
+  // 滚动到底部
   useEffect(() => {
     if (messages.length === 0 && !isClawdSubmitting) return;
-    if (initialScrollChatRef.current === activeChatId) return;
+    messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
-    initialScrollChatRef.current = activeChatId;
+  }, [isClawdSubmitting, messages]);
-    void scrollMessagesToBottom({ animation: "instant" });
-  }, [activeChatId, isClawdSubmitting, messages.length, scrollMessagesToBottom]);
 
   // 标记是否已经为当前画布设置过标题（避免重复调用）
   const hasSetCanvasTitle = useRef(false);
@@ -10358,7 +10315,7 @@ export function CanvasChatPanel({
           buildCanvasUploadedImageAttachment({ file, imageUrl, assetId })
         );
 
-        const dimensions = await getImageDimensions(file);
+        const dimensions = await getImageDimensions(imageUrl);
         const nodeIndex = nodes.length + slotIndex;
         const spacing = 20;
         const x = 100 + (nodeIndex % 3) * (dimensions.width + spacing);
@@ -10436,7 +10393,7 @@ export function CanvasChatPanel({
           buildCanvasUploadedImageAttachment({ file, imageUrl, assetId })
         );
 
-        const dimensions = await getImageDimensions(file);
+        const dimensions = await getImageDimensions(imageUrl);
         const nodeIndex = nodes.length + slotIndex;
         const spacing = 20;
         const x = 100 + (nodeIndex % 3) * (dimensions.width + spacing);
@@ -12586,7 +12543,6 @@ export function CanvasChatPanel({
     const supplement = typeof overrideInput === "string" ? overrideInput.trim() : input.trim();
     if (isCanvasAgentRunning && !isClawdMode && imageAgentEnabled) {
       if (supplement && await canvasAgentTask.control("steer", supplement)) {
-        void scrollMessagesToBottom({ animation: "instant" });
         setInput("");
         const editor = textareaRef.current as HTMLDivElement | null;
         if (editor) editor.innerHTML = "";
@@ -12884,7 +12840,6 @@ export function CanvasChatPanel({
         requestChatId,
         clawdRequestRestoreSnapshot
       );
-      void scrollMessagesToBottom({ animation: "instant" });
       startClawdRequestUi(requestChatId, userMessageId, nextProcessingHint);
       setMessages((previousMessages) =>
         sortCanvasMessagesByCreatedAt([
@@ -13373,26 +13328,6 @@ export function CanvasChatPanel({
     });
     inFlightChatIdRef.current = activeChatId;
     inFlightRawChatIdRef.current = rawChatId;
-    imageGenerationUserMessageIdsRef.current[activeChatId] = userMessageId;
-    if (shouldUseCanvasAgentRuntime({
-      composerMode: effectiveComposerMode,
-      agentPresetId: effectiveAgentEntryMode === "preset" ? selectedAgentPreset?.id : undefined,
-      workspaceVariant: isVideoWorkspace ? "video" : "canvas",
-      contextPayload: contextPayloadRef.current || undefined,
-    }) && onBeforeAgentRequest) {
-      try {
-        if (!(await onBeforeAgentRequest())) throw new Error("画布自动同步失败，本次任务未提交。输入内容已保留，请检查网络后再次发送。");
-      } catch (error) {
-        releaseSendGuard(activeChatId);
-        inFlightChatIdRef.current = null;
-        inFlightRawChatIdRef.current = null;
-        contextPayloadRef.current = null;
-        writeCanvasComposerDraft(activeChatId, { text: composerInput, attachments: effectiveAttachments });
-        toast.error(error instanceof Error ? error.message : "画布自动同步失败，本次任务未提交，输入内容已保留。");
-        return;
-      }
-    }
-    clearCanvasComposerDraft(activeChatId);
     clearStreamImageGenerationStateForChat(activeChatId);
     clearAgentProgressStateForChat(activeChatId);
     if (shouldShowOptimisticImageGeneration) {
@@ -13417,7 +13352,6 @@ export function CanvasChatPanel({
 
     // 使用与 multimodal-input 相同的格式发送消息
     try {
-      void scrollMessagesToBottom({ animation: "instant" });
       sendMessage(optimisticUserMessage as any);
       setMessages((previousMessages) =>
         sortCanvasMessagesByCreatedAt([
@@ -13456,9 +13390,6 @@ export function CanvasChatPanel({
     }
   }, [
     isCanvasAgentRunning,
-    scrollMessagesToBottom,
-    onBeforeAgentRequest,
-    isVideoWorkspace,
     canvasAgentTask.control,
     activeChatId,
     activeComposerMode,
@@ -13596,19 +13527,23 @@ export function CanvasChatPanel({
 
         console.log('[CanvasChat] 更新画布:', rawId);
 
-        if (!runCanvasRemoteOperation) return;
+        const updateResponse = await fetch(`/api/canvas/${rawId}`, {
-        await runCanvasRemoteOperation(async () => {
+          method: 'PUT',
-          if (useCanvasStore.getState().projectId !== rawId) return;
+          headers: { 'Content-Type': 'application/json' },
-          const result = await canvasService.updateProject(rawId, { title, thumbnail: firstImageUrl });
+          body: JSON.stringify({
-          if (!result.success) throw new Error(result.error || "画布名称同步失败");
+            title,
+            thumbnail: firstImageUrl,
+          }),
         });
+
+        console.log('[CanvasChat] 画布更新响应:', updateResponse.status);
       } else {
         console.error('[CanvasChat] auto-title API 请求失败:', response.status);
       }
     } catch (error) {
       console.error('[CanvasChat] 自动命名失败:', error);
     }
-  }, [chatId, runCanvasRemoteOperation]);
+  }, [chatId]);
 
   const addUploadedImageAttachmentToComposer = useCallback(
     (uploaded: ComposerUploadedImage) => {
@@ -13722,7 +13657,7 @@ export function CanvasChatPanel({
       };
       onUploaded?.(uploadedBase);
       clearComposerUploadProgress(250);
-      const dimensions = await getImageDimensions(file);
+      const dimensions = await getImageDimensions(imageUrl);
       const spacing = 20;
       const x = 100 + (nodeIndex % 3) * (dimensions.width + spacing);
       const y = 100 + Math.floor(nodeIndex / 3) * (dimensions.height + spacing);
@@ -14911,7 +14846,7 @@ export function CanvasChatPanel({
           firstImageUrl = imageUrl;
         }
 
-        const dimensions = await getImageDimensions(file);
+        const dimensions = await getImageDimensions(imageUrl);
         updateUploadedImageAttachmentDimensions(imageUrl, dimensions);
         
         // 获取图片原始尺寸后添加到画布
@@ -15162,7 +15097,7 @@ export function CanvasChatPanel({
       !hasGenerationEnd &&
       Boolean(currentModel || activeComposerMode === "agent"));
   const hasActiveTypewriter = Object.keys(activeTypingSections).length > 0;
-  const shouldRenderImageLoading = shouldShowImageLoading && streamImageGenerationState?.phase !== "failed" && !hasActiveTypewriter;
+  const shouldRenderImageLoading = shouldShowImageLoading && !hasActiveTypewriter;
   const loadingImageCount = streamImageGenerationState?.imageCount || imageParams.imageCount || 1;
   const loadingProviderType =
     streamImageGenerationState?.providerType ||
@@ -15225,9 +15160,9 @@ export function CanvasChatPanel({
       phase === "queued"
         ? "等待开始生成"
         : phase === "finalizing"
-          ? "正在保存生成结果"
+          ? "正在润饰细节"
           : phase === "failed"
-            ? streamState.failure?.message || "生成失败"
+            ? "生成失败"
             : "正在创建图片";
     const status = phase === "failed" ? "failed" : "generating";
     const currentNodes = useCanvasStore.getState().nodes;
@@ -15283,10 +15218,14 @@ export function CanvasChatPanel({
       canvasGenerationPlaceholder: true,
       chatId: activeChatId,
       detailProgressLabel: label,
-      generationProgress: undefined,
+      generationProgress:
-      generationFailure: streamState.failure,
+        phase === "queued"
-      generationRequestId: streamState.requestId,
+          ? 12
-      generationUserMessageId: streamState.userMessageId,
+          : phase === "finalizing"
+            ? 96
+            : phase === "failed"
+              ? 100
+              : undefined,
       modelName: streamState.modelName || currentModel?.displayName || undefined,
       providerType: streamState.providerType || currentModel?.providerType || undefined,
       placementMode: "anchored-generation",
@@ -15380,7 +15319,6 @@ export function CanvasChatPanel({
 
       if (
         message.role === "assistant" &&
-        !rawParts.some((part: any) => part.type === "data-imageGenerationStatus" && part.data?.failure) &&
         isInternalCanvasImageGenerationFailureText(cleanedParts)
       ) {
         return acc;
@@ -15690,7 +15628,7 @@ export function CanvasChatPanel({
         processedMessageIds.current.clear();
         hasHydratedHistoryRef.current = true;
         setMessages(sortCanvasMessagesByCreatedAt(fresh.messages));
-        void scrollMessagesToBottom({ animation: "instant" });
+        setMessageViewportKey((previous) => previous + 1);
       }).catch((error) => {
         console.error("[CanvasChat] Failed to reopen current conversation:", error);
         toast.error("聊天记录暂时读取失败，请重试");
@@ -15704,7 +15642,7 @@ export function CanvasChatPanel({
     replaceChatSessionQuery(sessionId);
     setIsSessionMenuOpen(false);
     toast.success("已切换聊天窗口");
-  }, [activeChatId, isClawdSubmitting, mutateHistoryData, releaseSendGuard, replaceChatSessionQuery, scrollMessagesToBottom, setMessages, status]);
+  }, [activeChatId, isClawdSubmitting, mutateHistoryData, releaseSendGuard, replaceChatSessionQuery, setMessages, status]);
 
   const switchToClawdHistorySession = useCallback(
     (historyItem: ClawdHistoryItem) => {
@@ -16121,17 +16059,11 @@ export function CanvasChatPanel({
       {isDetailEmptyState ? (
         <div className="flex-1 min-h-0" />
       ) : (
-      <div key={activeChatId} className="relative flex min-h-0 flex-1 flex-col">
       <div
-        ref={messagesScrollRef}
+        key={`${activeChatId}-${messageViewportKey}`}
-        data-testid="canvas-chat-messages"
-        role="region"
-        aria-label="对话消息"
-        // biome-ignore lint/a11y/noNoninteractiveTabindex: The scroll region needs PageUp/PageDown keyboard input.
-        tabIndex={0}
         className={cn(
-          "flex-1 min-h-0 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-inset focus-visible:ring-ring",
+          "flex-1 min-h-0 overflow-x-hidden",
-          isPlainCanvasEmptyState ? "overflow-hidden" : "overflow-auto",
+          isPlainCanvasEmptyState ? "overflow-hidden" : "overflow-y-auto",
           isWorkspacePresentation ? "p-5" : "p-3",
           isPlainCanvasEmptyState
             ? "pt-0"
@@ -16140,7 +16072,7 @@ export function CanvasChatPanel({
               : "pt-3"
         )}
       >
-        <div ref={messagesContentRef} className={cn(
+        <div className={cn(
           "space-y-5 overflow-x-hidden pr-1",
           isPlainCanvasEmptyState ? "h-full pb-0" : "pb-24"
         )}>
@@ -17343,22 +17275,9 @@ export function CanvasChatPanel({
             />
           ) : null}
 
+          <div ref={messagesEndRef} />
         </div>
       </div>
-      {!isMessageListAtBottom && renderableVisibleMessages.length > 0 ? (
-        <Button
-          type="button"
-          variant="outline"
-          size="icon"
-          aria-label="回到最新消息"
-          title="回到最新消息"
-          className="absolute bottom-3 left-1/2 z-10 -translate-x-1/2 rounded-full shadow-sm"
-          onClick={() => void scrollMessagesToBottom({ animation: "instant" })}
-        >
-          <ChevronDown className="h-4 w-4" />
-        </Button>
-      ) : null}
-      </div>
       )}
 
       {fullscreenPreview && createPortal(
@@ -18605,7 +18524,7 @@ export function CanvasChatPanel({
               )}
             >
               <div
-                ref={setComposerEditorRef}
+                ref={textareaRef as any}
                 contentEditable={!isSubmitting || (isCanvasAgentRunning && !canvasAgentTask.stopPending)}
                 role="textbox"
                 tabIndex={isSubmitting ? -1 : 0}
@@ -18639,7 +18558,6 @@ export function CanvasChatPanel({
                   setTagPreview(null);
                 }}
                 onInput={(e) => {
-                  clearCanvasComposerDraft(activeChatId);
                   // 从 contenteditable 中提取纯文本（排除附件标签文本）
                   const target = e.target as HTMLDivElement;
                   const clone = target.cloneNode(true) as HTMLDivElement;

components/canvas/CanvasFileListPanel.tsx

@@ -19,7 +19,6 @@ const PROJECT_LIST_PAGE_SIZE = 24;
 interface CanvasFileListPanelProps {
   currentId: string;
   onClose: () => void;
-  onNavigate?: (url: string) => void;
   workspaceType?: CanvasWorkspaceType;
   workspaceLabel?: string;
   createUrl?: string;
@@ -29,7 +28,6 @@ interface CanvasFileListPanelProps {
 export function CanvasFileListPanel({
   currentId,
   onClose,
-  onNavigate,
   workspaceType = "canvas",
   workspaceLabel = "画布",
   createUrl = "/canvas?new=1",
@@ -90,10 +88,6 @@ export function CanvasFileListPanel({
 
   // 创建新画布
   const handleCreateNew = async () => {
-    if (onNavigate) {
-      onNavigate(createUrl);
-      return;
-    }
     router.push(createUrl);
   };
 
@@ -106,10 +100,6 @@ export function CanvasFileListPanel({
     }
     const targetUrl = buildProjectUrl(id);
     onClose(); // 关闭文件列表面板
-    if (onNavigate) {
-      onNavigate(targetUrl);
-      return;
-    }
     // 强制整页跳转，避免仅更新 URL 不刷新
     setTimeout(() => {
       window.location.assign(targetUrl);

components/canvas/CanvasImageDownloadProgressDialog.tsx

@@ -28,7 +28,6 @@ export function CanvasImageDownloadProgressDialog({
       : null;
   const loadedLabel = formatBytes(progress.loadedBytes);
   const totalLabel = formatBytes(progress.totalBytes);
-  const converting = progress.phase === "converting";
 
   return createPortal(
     <div
@@ -42,12 +41,12 @@ export function CanvasImageDownloadProgressDialog({
               {progress.phase === "saving" ? (
                 <Download className="h-4 w-4" />
               ) : (
-                <Loader2 className="h-4 w-4 motion-safe:animate-spin" />
+                <Loader2 className="h-4 w-4 animate-spin" />
               )}
             </span>
             <div>
               <div className="text-[14px] font-semibold">下载原图</div>
-              <div className="mt-0.5 text-[12px] text-white/58" role="status">{progress.message}</div>
+              <div className="mt-0.5 text-[12px] text-white/58">{progress.message}</div>
             </div>
           </div>
           {onCancel ? (
@@ -64,19 +63,14 @@ export function CanvasImageDownloadProgressDialog({
 
         <div className="mt-4">
           <div className="mb-2 flex items-center justify-between text-[12px] text-white/55">
-            <span>{loadedLabel && totalLabel ? `${loadedLabel} / ${totalLabel}` : converting ? "格式转换中" : "正在处理文件"}</span>
+            <span>{loadedLabel && totalLabel ? `${loadedLabel} / ${totalLabel}` : "正在处理文件"}</span>
             <span>{percent !== null ? `${percent}%` : "..."}</span>
           </div>
-          <div
+          <div className="relative h-2 overflow-hidden rounded-full bg-white/10">
-            className="relative h-2 overflow-hidden rounded-full bg-white/10"
-            role="progressbar"
-            aria-label={converting ? "图片格式转换" : "图片下载"}
-            aria-valuenow={percent ?? undefined}
-          >
             <div
               className={cn(
                 "absolute inset-y-0 left-0 rounded-full bg-gradient-to-r from-cyan-300 via-sky-400 to-emerald-300",
-                percent === null && "w-1/3 motion-safe:animate-[download-indeterminate_1.15s_ease-in-out_infinite]"
+                percent === null && "w-1/3 animate-[download-indeterminate_1.15s_ease-in-out_infinite]"
               )}
               style={percent !== null ? { width: `${percent}%` } : undefined}
             />

components/canvas/CanvasRemoteOperationContext.tsx

@@ -1,26 +1,11 @@
 "use client";
 
 import { createContext, useContext } from "react";
-import type { CanvasState } from "@/types/canvas";
-
-export type CanvasRemoteOperationResult = {
-  projectId: string;
-  canvasData: CanvasState;
-  updatedAt: string;
-};
-export type CanvasRemoteOperation = (() => Promise<void>) | (() => Promise<CanvasRemoteOperationResult | undefined>);
 
 export const CanvasRemoteOperationContext = createContext<
-  {
+  ((operation: () => Promise<void>) => Promise<void>) | null
-    run: (operation: CanvasRemoteOperation) => Promise<void>;
-    applySnapshot: (result: CanvasRemoteOperationResult) => boolean;
-  } | null
 >(null);
 
 export function useCanvasRemoteOperation() {
-  return useContext(CanvasRemoteOperationContext)?.run || null;
+  return useContext(CanvasRemoteOperationContext);
-}
-
-export function useCanvasRemoteSnapshot() {
-  return useContext(CanvasRemoteOperationContext)?.applySnapshot || null;
 }

components/canvas/CanvasSurfaceHeader.tsx

@@ -2,10 +2,14 @@
 
 import { ReferenceIcon } from "@/components/lovart/reference-icon";
 
+import { Loader2, Save } from "lucide-react";
+
 type CanvasSurfaceHeaderProps = {
+  isSaving: boolean;
   onAddImage: () => void;
   onHome: () => void;
   onOpenFiles: () => void;
+  onSave: () => void;
   projectTitle: string;
   rightInset: number;
 };
@@ -14,9 +18,11 @@ const iconButtonClass =
   "inline-flex h-[28px] w-[28px] items-center justify-center rounded-[8px] p-0 text-[#858585] transition-colors hover:bg-black/5 focus-visible:outline-2 focus-visible:outline-offset-2 dark:hover:bg-white/10";
 
 export function CanvasSurfaceHeader({
+  isSaving,
   onAddImage,
   onHome,
   onOpenFiles,
+  onSave,
   projectTitle,
   rightInset,
 }: CanvasSurfaceHeaderProps) {
@@ -71,6 +77,19 @@ export function CanvasSurfaceHeader({
           <ReferenceIcon name="plus" size={16} />
         </button>
       </div>
+      <button
+        className="inline-flex h-7 shrink-0 items-center gap-1.5 rounded-[8px] border border-[#e5e5e5] px-3 text-[12px] text-[#333333] transition-colors hover:bg-black/5 disabled:opacity-50 dark:border-white/10 dark:text-white"
+        disabled={isSaving}
+        onClick={onSave}
+        type="button"
+      >
+        {isSaving ? (
+          <Loader2 className="h-3.5 w-3.5 animate-spin" />
+        ) : (
+          <Save className="h-3.5 w-3.5" />
+        )}
+        保存
+      </button>
     </div>
   );
 }

components/canvas/LiblibVideoCanvasReplica.tsx

@@ -1,5 +1,4 @@
 "use client";
-import { fetchUploadWithRetry } from "@/lib/client/upload-with-retry";
 import { useCanvasGroupRuns } from "@/hooks/use-canvas-group-runs";
 import { hasRecoverableCanvasTask } from "@/lib/video-canvas/task-recovery";
 import { GroupStoryboardPreview } from "./GroupStoryboardPreview";
@@ -15105,7 +15104,7 @@ function DirectorNodeComposer({
         if(file.size>20*1024*1024){setError("参考图需小于 20 MiB");return;}
         setBusy(true);setError("");try{
           const form=new FormData();form.append("file",file);form.append("purpose","director-studio");
-          const response=await fetchUploadWithRetry(form,{signal:AbortSignal.timeout(120000)});
+          const response=await fetch("/api/files/upload",{method:"POST",body:form,signal:AbortSignal.timeout(120000)});
           const result=await response.json();const url=result.url||result.data?.url;
           if(!response.ok||!url)throw new Error(result.error||"图片上传失败");
           onDraft({directorReferenceUrl:String(url)});

components/canvas/chat-panel/canvas-agent-stream.ts

@@ -152,7 +152,16 @@ export function shouldRetryCanvasViewOperationAfterRefresh(
   );
 }
 
-export type { ImageGenerationStatusStreamPayload } from "@/lib/canvas/image-generation-status";
+export type ImageGenerationStatusStreamPayload = {
+  phase?: "queued" | "processing" | "finalizing" | "failed" | "completed";
+  providerType?: string;
+  modelName?: string;
+  imageCount?: number;
+  queuePosition?: number;
+  sameModelRunningCount?: number;
+  concurrencyLimit?: number;
+  estimatedWaitMs?: number;
+};
 
 export type AgentTargetLockRefPreview = {
   url: string;

components/canvas/chat-panel/video-canvas-agent-panel.tsx

@@ -6,8 +6,6 @@ import { ArrowUp, MessageSquare, X } from "lucide-react";
 import { useCallback, useEffect, useRef, useState } from "react";
 import { toast } from "sonner";
 import { CanvasAgentRunPanel } from "./canvas-agent-run-panel";
-import { BEFORE_PAGE_REFRESH, type PageRefreshRequest } from "@/lib/client/page-refresh";
-import { readCanvasComposerDraft, writeCanvasComposerDraft, clearCanvasComposerDraft } from "@/lib/client/canvas-draft";
 import {
   videoAgentSettingsSchema,
   type VideoAgentSettings,
@@ -96,22 +94,6 @@ export function VideoCanvasAgentPanel(props: {
     };
   }, [props.projectId, setMessages]);
   const busy = backgroundRunning || preparing || status === "submitted" || status === "streaming";
-  useEffect(() => {
-    const draft = readCanvasComposerDraft(`video-agent-${props.projectId}`);
-    if (draft) setInput(draft.text);
-  }, [props.projectId]);
-  useEffect(() => {
-    const beforeRefresh = (event: Event) => {
-      const request = (event as CustomEvent<PageRefreshRequest>).detail;
-      if (busy) request.block("当前视频任务仍在处理中，请等待结果返回后再刷新。原任务无需重新提交。");
-      request.save(async () => {
-        if (input.trim() && !writeCanvasComposerDraft(`video-agent-${props.projectId}`, { text: input, attachments: [] }))
-          throw new Error("浏览器无法保存当前输入，请保留此页并检查浏览器存储空间后重试。");
-      });
-    };
-    window.addEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-    return () => window.removeEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-  }, [busy, input, props.projectId]);
   const submit = useCallback(
     async (resumeRunId?: string) => {
       if (busy || loading) return;
@@ -123,7 +105,6 @@ export function VideoCanvasAgentPanel(props: {
       try {
         await latest.current.props.beforeSend();
         if (!mounted.current) return;
-        clearCanvasComposerDraft(`video-agent-${props.projectId}`);
         resumeRef.current = resumeRunId;
         setInput("");
         await sendMessage({ text });
@@ -317,7 +298,7 @@ export function VideoCanvasAgentPanel(props: {
           <textarea
             aria-label="视频创作要求"
             value={input}
-            onChange={(event) => { clearCanvasComposerDraft(`video-agent-${props.projectId}`); setInput(event.target.value); }}
+            onChange={(event) => setInput(event.target.value)}
             maxLength={2000}
             rows={3}
             placeholder="例如：先分析选中素材，写分镜，再生成一条5秒商品展示视频"

components/canvas/director/DirectorReconstructionPanel.tsx

@@ -1,5 +1,4 @@
 "use client";
-import { fetchUploadWithRetry } from "@/lib/client/upload-with-retry";
 import { useState } from "react";
 import { toast } from "sonner";
 import { readDirectorScene, type DirectorScene } from "@/lib/video-canvas/director-scene";
@@ -65,7 +64,9 @@ export function DirectorReconstructionPanel({
             const form = new FormData();
             form.append("file", file);
             form.append("purpose", "director-studio");
-            const response = await fetchUploadWithRetry(form, {
+            const response = await fetch("/api/files/upload", {
+              method: "POST",
+              body: form,
               signal: AbortSignal.timeout(120000),
             });
             const data = await response.json();

components/canvas/director/DirectorStudioDialog.tsx

@@ -1,5 +1,4 @@
 "use client";
-import { fetchUploadWithRetry } from "@/lib/client/upload-with-retry";
 import {
   commitDirectorScene,
   resolveDirectorCamera,
@@ -44,13 +43,14 @@ async function upload(file: File) {
     "purpose",
     file.type.startsWith("video/") ? "canvas-video-process" : "director-studio",
   );
-  const response = /\.glb$/i.test(file.name)
+  const response = await fetch(
-    ? await fetch("/api/canvas/director/upload-model", {
+    /\.glb$/i.test(file.name) ? "/api/canvas/director/upload-model" : "/api/files/upload",
+    {
       method: "POST",
       body: form,
       signal: AbortSignal.timeout(120000),
-    })
+    },
-    : await fetchUploadWithRetry(form, { signal: AbortSignal.timeout(120000) });
+  );
   const result = await response.json();
   const url = result.url || result.data?.url;
   if (!response.ok || !url) throw new Error(result.error || "上传失败");

components/canvas/nodes/ImageNode.tsx

@@ -1,6 +1,4 @@
 "use client";
-import { CanvasPreviewImage } from "./image-node/canvas-preview-image";
-import { canvasImagePreviewWidth } from "@/lib/canvas/image-preview-width";
 import { isRetiredStorageUrl, RETIRED_STORAGE_MESSAGE } from "@/lib/storage/retired-storage";
 
 import {
@@ -178,7 +176,7 @@ import {
 } from "@/components/ui/tooltip";
 import { fetchUploadWithRetry } from "@/lib/client/upload-with-retry";
 import {
-  downloadOriginalImage,
+  downloadCanvasImageAsPng,
   getCanvasImageDownloadErrorMessage,
   type CanvasImageDownloadProgress,
 } from "@/lib/client/canvas-image-download";
@@ -2482,11 +2480,14 @@ export function ImageNode({
     [compareButtonVisualSize]
   );
   const shouldUseHighFidelityDisplayImage =
+    isSelected ||
+    isHovered ||
     isCompareMode ||
     boxCutoutMode ||
     localEditMode ||
     cropPanelOpen ||
     imageAdjustPanelOpen ||
+    fullscreenPreviewOpen ||
     isThisNodePicking;
   const displayImageWidth = useMemo(() => {
     const devicePixelRatio =
@@ -2501,13 +2502,13 @@ export function ImageNode({
     const densityMultiplier = shouldUseHighFidelityDisplayImage ? 1.35 : 1.05;
     const minWidth = shouldUseHighFidelityDisplayImage ? 960 : 640;
     const maxWidth = shouldUseHighFidelityDisplayImage ? 4096 : 2600;
-    return canvasImagePreviewWidth(Math.max(
+    return Math.max(
       minWidth,
       Math.min(
         maxWidth,
         Math.round((node.size.width || 320) * zoomMultiplier * devicePixelRatio * densityMultiplier)
       )
-    ), maxWidth);
+    );
   }, [node.size.width, shouldUseHighFidelityDisplayImage, viewportZoom]);
   const displayImageQuality = shouldUseHighFidelityDisplayImage ? 92 : 88;
   const displayImageSrc = useMemo(
@@ -2519,6 +2520,15 @@ export function ImageNode({
       }),
     [data.src, displayImageQuality, displayImageWidth]
   );
+  const fullscreenPreviewSrc = useMemo(() => {
+    const originalUrl = resolveOriginalImageUrl(data.src || "");
+    return buildImageProxyUrl(originalUrl || data.src || "", {
+      delivery: "proxy",
+      width: 4096,
+      quality: 92,
+      format: "webp",
+    });
+  }, [data.src]);
   const displayCompareSrc = useMemo(
     () =>
       buildImageProxyUrl(compareSource, {
@@ -4673,44 +4683,106 @@ export function ImageNode({
       return;
     }
 
-    if (!projectId || !runCanvasRemoteOperation) {
+    setIsCreatingDetachedResultNode(true);
-      toast.error("画布还在加载，请稍后再试");
-      return;
-    }
-
-    setIsCreatingDetachedResultNode(false);
     setIsProcessing(true);
     const actionName = "框选抠图";
-
+    const newNodeId = addNode({
-    try {
+      type: "image",
-      const command = createCanvasCapabilityClientCommand({
+      position: {
-        capabilityId: "image.box_cutout",
+        x: node.position.x + node.size.width + 20,
-        nodeIds: [node.id],
+        y: node.position.y,
-        projectId,
+      },
-        source: "toolbar",
+      size: { width: node.size.width, height: node.size.height },
-        args: {
+      data: {
-          ...boxCutoutSelection,
+        src: "",
+        status: "generating",
+        prompt: `${actionName}处理中...`,
+        title: `${displayTitle}-${actionName}`,
+        originalSrc: data.src,
+        metadata: {
+          cropRect: boxCutoutSelection,
           paddingRatio: BOX_CUTOUT_DEFAULT_PADDING_RATIO,
         },
+      },
+      connections: [node.id],
+    });
+
+    try {
+      const result = await imageGenerationService.boxCutout({
+        imageUrl: data.src,
+        cropRect: boxCutoutSelection,
+        paddingRatio: BOX_CUTOUT_DEFAULT_PADDING_RATIO,
+        sourceNodeId: node.id,
+      });
+
+      if (result.success && result.data?.url) {
+        updateNode(newNodeId, {
+          data: {
+            src: result.data.url,
+            status: "completed",
+            prompt: `${actionName}结果`,
+            title: `${displayTitle}-${actionName}`,
+            originalSrc: data.src,
+            metadata: {
+              cropRect: boxCutoutSelection,
+              cropRectApplied: result.data.cropRectApplied,
+              paddedCropRectApplied: result.data.paddedCropRectApplied,
+              paddingRatio: BOX_CUTOUT_DEFAULT_PADDING_RATIO,
+              editMode: "box-cutout",
+            },
+          },
         });
-      await runCanvasRemoteOperation(() => executeCanvasToolbarCapability(command));
         toast.success(`${actionName}完成`);
+      } else {
+        updateNode(newNodeId, {
+          data: {
+            src: "",
+            status: "failed",
+            prompt: `${actionName}失败`,
+            title: `${displayTitle}-${actionName}-失败`,
+            originalSrc: data.src,
+            metadata: {
+              cropRect: boxCutoutSelection,
+              paddingRatio: BOX_CUTOUT_DEFAULT_PADDING_RATIO,
+            },
+          },
+        });
+        toast.error(result.error || `${actionName}失败`);
+      }
     } catch (error) {
       console.error("框选抠图失败:", error);
-      toast.error(error instanceof Error ? error.message : `${actionName}失败`);
+      updateNode(newNodeId, {
+        data: {
+          src: "",
+          status: "failed",
+          prompt: `${actionName}失败`,
+          title: `${displayTitle}-${actionName}-失败`,
+          originalSrc: data.src,
+          metadata: {
+            cropRect: boxCutoutSelection,
+            paddingRatio: BOX_CUTOUT_DEFAULT_PADDING_RATIO,
+          },
+        },
+      });
+      toast.error(`${actionName}失败，请重试`);
     } finally {
       setIsCreatingDetachedResultNode(false);
       setIsProcessing(false);
       resetBoxCutoutState();
     }
   }, [
+    addNode,
     boxCutoutSelection,
     data.src,
+    displayTitle,
     isProcessing,
     node.id,
-    projectId,
+    node.position.x,
+    node.position.y,
+    node.size.height,
+    node.size.width,
     resetBoxCutoutState,
-    runCanvasRemoteOperation,
+    updateNode,
   ]);
 
   const animateAddToChat = useCallback(async (previewUrl?: string) => {
@@ -8223,6 +8295,7 @@ export function ImageNode({
     }
   };
 
+  // 下载图片 - 服务端统一转为 Photoshop 兼容 PNG，避免后缀和真实格式错配。
   const isDownloadingOriginalImage = Boolean(downloadProgress);
   const handleDownload = async () => {
     if (!data.src) return;
@@ -8236,16 +8309,24 @@ export function ImageNode({
     setDownloadProgress({
       phase: "preparing",
       message: "正在准备原图...",
+      percent: 5,
     });
 
     try {
-      await downloadOriginalImage({
+      await downloadCanvasImageAsPng({
-        url: resolveOriginalImageUrl(data.src) || data.src,
+        url: data.src,
         name: displayTitle,
+        candidates: [
+          displayImageSrc,
+          fullscreenPreviewSrc,
+          buildImageProxyUrl(resolveOriginalImageUrl(data.src) || data.src, {
+            delivery: "proxy",
+          }),
+        ],
         signal: controller.signal,
         onProgress: setDownloadProgress,
       });
-      toast.success("已开始下载");
+      toast.success("原图已开始下载");
     } catch (error) {
       if (controller.signal.aborted) {
         toast.message("已取消下载");
@@ -8380,13 +8461,12 @@ export function ImageNode({
                     }}
                   >
                     <div className="absolute inset-0 bg-slate-50 dark:bg-zinc-900" />
-                    <CanvasPreviewImage
+                    <img
-                      sourceKey={data.src}
                       alt={displayTitle}
                       className="absolute inset-0 h-full w-full object-cover"
                       decoding="async"
                       draggable={false}
-                      loading="eager"
+                      loading="lazy"
                       onError={(event) => {
                         if (event.currentTarget.src !== buildImageFallbackUrl(data.src)) {
                           event.currentTarget.src = buildImageFallbackUrl(data.src);
@@ -8410,13 +8490,12 @@ export function ImageNode({
                     }}
                   >
                     <div className="absolute inset-0 bg-slate-50 dark:bg-zinc-900" />
-                    <CanvasPreviewImage
+                    <img
-                      sourceKey={compareSource}
                       alt={`${displayTitle}-原图`}
                       className="absolute inset-0 h-full w-full object-cover"
                       decoding="async"
                       draggable={false}
-                      loading="eager"
+                      loading="lazy"
                       onError={(event) => {
                         if (event.currentTarget.src !== buildImageFallbackUrl(compareSource)) {
                           event.currentTarget.src = buildImageFallbackUrl(compareSource);
@@ -8461,8 +8540,7 @@ export function ImageNode({
               </div>
             ) : (
               <>
-                <CanvasPreviewImage
+                <img
-                  sourceKey={data.src}
                   alt={displayTitle}
                   className={cn(
                     "h-full w-full bg-slate-50 object-contain dark:bg-zinc-900",
@@ -8474,7 +8552,7 @@ export function ImageNode({
                   )}
                   decoding="async"
                   draggable={false}
-                  loading="eager"
+                  loading="lazy"
                   onClick={
                     isThisNodePicking && !boxCutoutMode
                       ? handlePickerClick
@@ -9404,8 +9482,6 @@ export function ImageNode({
         ) : (
           <ImageNodeEmptyState
             detailProgressLabel={detailProgressLabel}
-            failure={data.metadata?.generationFailure}
-            requestId={data.metadata?.generationRequestId}
             fileInputRef={fileInputRef}
             generationProgress={generationProgress}
             onImageUpload={handleImageUpload}

components/canvas/nodes/image-node/canvas-preview-image.tsx

@@ -1,32 +0,0 @@
-"use client";
-
-import { forwardRef, type ImgHTMLAttributes, useState } from "react";
-
-type Props = Omit<ImgHTMLAttributes<HTMLImageElement>, "src"> & { src: string; sourceKey: string };
-
-export const CanvasPreviewImage = forwardRef<HTMLImageElement, Props>(function CanvasPreviewImage(
-  { src, sourceKey, onLoad, style, ...props }, ref,
-) {
-  const [displayed, setDisplayed] = useState({ sourceKey, src });
-  const visibleSrc = displayed.sourceKey === sourceKey ? displayed.src : src;
-  const sources = visibleSrc === src ? [src] : [visibleSrc, src];
-  return <>{sources.map(candidate => {
-    const visible = candidate === visibleSrc;
-    return <img
-      {...props}
-      key={candidate}
-      ref={visible ? ref : undefined}
-      src={candidate}
-      alt={visible ? props.alt : ""}
-      aria-hidden={visible ? props["aria-hidden"] : true}
-      style={visible ? style : { ...style, position: "absolute", inset: 0, opacity: 0, pointerEvents: "none" }}
-      onLoad={event => {
-        const image = event.currentTarget;
-        onLoad?.(event);
-        void image.decode().then(() => {
-          if (image.isConnected && candidate === src) setDisplayed({ sourceKey, src: candidate });
-        }).catch(() => undefined);
-      }}
-    />;
-  })}</>;
-});

components/canvas/nodes/image-node/image-node-empty-state.tsx

@@ -3,14 +3,11 @@
 import { AlertCircle, ImagePlus, Loader2 } from "lucide-react";
 import type React from "react";
 import { GenerationDotPlaceholder } from "@/components/generation-dot-placeholder";
-import type { RequestFailureDetails } from "@/lib/request-error";
 
 interface ImageNodeEmptyStateProps {
   detailProgressLabel?: string;
   fileInputRef: React.Ref<HTMLInputElement>;
   generationProgress?: number | null;
-  failure?: RequestFailureDetails;
-  requestId?: string;
   onImageUpload: (event: React.ChangeEvent<HTMLInputElement>) => void;
   onSelectFile: (event: React.MouseEvent<HTMLButtonElement>) => void;
   status?: string;
@@ -55,8 +52,6 @@ export function ImageNodeEmptyState({
   detailProgressLabel,
   fileInputRef,
   generationProgress,
-  failure,
-  requestId,
   onImageUpload,
   onSelectFile,
   status,
@@ -94,7 +89,7 @@ export function ImageNodeEmptyState({
   if (status === "failed") {
     const failedTitle = detailProgressLabel || "生成失败";
     return (
-      <div role="alert" className="flex h-full w-full flex-col items-center justify-center overflow-auto bg-[#fff7f8] px-6 text-center dark:bg-red-950/40">
+      <div className="flex h-full w-full select-none flex-col items-center justify-center bg-[#fff7f8] px-6 text-center dark:bg-red-950/40">
         <span className="mb-3 flex h-12 w-12 items-center justify-center rounded-[18px] border border-[#f2d7dd] bg-white text-[#d24f63] shadow-[0_0_0_1px_rgba(242,215,221,0.22)]">
           <AlertCircle className="h-5 w-5" />
         </span>
@@ -102,9 +97,8 @@ export function ImageNodeEmptyState({
           {failedTitle}
         </span>
         <span className="mt-1 text-xs text-[#b77480]">
-          {failure?.recommendation || (failedTitle.includes("上传") ? "请重新选择文件" : "请查看对话中的错误原因和处理建议")}
+          {failedTitle.includes("上传") ? "请重新选择文件" : "请重新上传或再试一次"}
         </span>
-        {requestId ? <span className="mt-2 select-text break-all text-xs text-[#b77480]">请求编号：{requestId}</span> : null}
       </div>
     );
   }

components/generation-dot-placeholder.tsx

@@ -1,5 +1,6 @@
 "use client";
 
+import { useEffect, useMemo, useState } from "react";
 import { BloubAvatar } from "@/components/bloub-avatar";
 import type { StateId } from "@/lib/bloub-official/states";
 import { cn } from "@/lib/utils";
@@ -25,17 +26,193 @@ interface GenerationDotPlaceholderProps {
 const PHASE_TITLES: Record<GenerationPhase, string> = {
   idle: "正在创建图片",
   queued: "等待开始生成",
-  processing: "等待模型返回图片",
+  processing: "生成初稿中",
-  finalizing: "正在保存生成结果",
+  finalizing: "正在润饰细节",
   failed: "生成失败",
   completed: "生成完成",
 };
 
+const GENERATION_STATUS_TITLES = [
+  "正在理解画面关系",
+  "正在读取参考图片",
+  "正在分析主体轮廓",
+  "正在识别关键元素",
+  "正在整理构图线索",
+  "正在确认画面比例",
+  "正在匹配视觉风格",
+  "正在提取材质细节",
+  "正在梳理光影方向",
+  "正在构建初始画面",
+  "正在生成第一版构图",
+  "正在安排主体位置",
+  "正在校准画面重心",
+  "正在补全背景层次",
+  "正在保持主体一致",
+  "正在优化边缘结构",
+  "正在调整透视关系",
+  "正在细化空间层次",
+  "正在增强画面清晰度",
+  "正在统一色彩倾向",
+  "正在检查参考一致性",
+  "正在处理局部细节",
+  "正在补充纹理信息",
+  "正在修正不自然区域",
+  "正在平衡明暗对比",
+  "正在优化产品质感",
+  "正在调整阴影落点",
+  "正在整理背景干扰",
+  "正在增强真实感",
+  "正在重绘细小结构",
+  "正在合成高清结果",
+  "正在检查主体完整性",
+  "正在优化画面边缘",
+  "正在处理反光细节",
+  "正在提升材质表现",
+  "正在微调构图节奏",
+  "正在清理多余噪点",
+  "正在强化视觉焦点",
+  "正在校正颜色偏差",
+  "正在保留参考特征",
+  "正在生成高分辨率版本",
+  "正在压实画面层次",
+  "正在修饰局部瑕疵",
+  "正在检查文字与图形",
+  "正在稳定画面结构",
+  "正在优化细节密度",
+  "正在完善背景过渡",
+  "正在增强主体质感",
+  "正在统一整体光感",
+  "正在检查比例关系",
+  "正在修正边缘锯齿",
+  "正在提升清晰观感",
+  "正在处理最后细节",
+  "正在准备预览结果",
+  "正在同步生成进度",
+  "正在确认输出尺寸",
+  "正在整理结果文件",
+  "正在校验图片可用性",
+  "正在生成最终预览",
+  "正在完成高清渲染",
+  "正在保存生成结果",
+  "正在写入画布节点",
+  "正在同步到对话框",
+  "正在检查结果完整性",
+  "正在收尾生成任务",
+  "正在等待服务商返回",
+  "正在保持连接状态",
+  "正在确认生成结果",
+  "正在拉取图片地址",
+  "正在准备展示图片",
+  "正在完成最后处理",
+  "正在刷新画布内容",
+  "正在整理图片信息",
+  "正在完成本次生成",
+  "正在即将展示结果",
+];
+
+const LONG_WAIT_TITLE_THRESHOLD_MS = 5 * 60 * 1000;
+const LONG_WAIT_STATUS_TITLES = [
+  "服务繁忙，排队处理中",
+  "高峰期生成较慢，请耐心等候",
+  "仍在保持连接，等待模型返回",
+  "结果返回后会自动展示",
+];
+const STATUS_TITLE_DURATIONS_MS = GENERATION_STATUS_TITLES.map((_, index) => {
+  const rhythm = [3600, 5200, 4100, 6100, 3300, 4700, 5700, 3900, 6800, 4400];
+  return rhythm[index % rhythm.length];
+});
+const TYPEWRITER_START_DELAY_MS = 120;
+const TYPEWRITER_BASE_STEP_MS = 46;
+
 function clampProgress(value: number) {
   if (!Number.isFinite(value)) return 0;
   return Math.max(0, Math.min(100, Math.round(value)));
 }
 
+function estimateProgress(phase: GenerationPhase, elapsedMs: number) {
+  if (phase === "completed" || phase === "failed") return 100;
+  if (phase === "finalizing") return 96;
+  if (phase === "queued") {
+    return clampProgress(6 + Math.min(12, elapsedMs / 3500));
+  }
+  if (phase === "processing") {
+    const eased = 1 - Math.exp(-elapsedMs / 85_000);
+    return clampProgress(18 + eased * 78);
+  }
+  return clampProgress(Math.min(8, elapsedMs / 1000));
+}
+
+function getStatusTitleState(elapsedMs: number, initialTitle?: string) {
+  const titles = initialTitle
+    ? [
+        initialTitle,
+        ...GENERATION_STATUS_TITLES.filter((item) => item !== initialTitle),
+      ]
+    : GENERATION_STATUS_TITLES;
+  const durations = initialTitle
+    ? [4200, ...STATUS_TITLE_DURATIONS_MS]
+    : STATUS_TITLE_DURATIONS_MS;
+
+  let cursor = Math.max(0, elapsedMs);
+  for (let index = 0; index < titles.length; index += 1) {
+    const duration = durations[index] || 4600;
+    if (cursor < duration) {
+      return {
+        elapsedInTitle: cursor,
+        index,
+        title:
+          titles[index] ||
+          titles[titles.length - 1] ||
+          PHASE_TITLES.processing,
+      };
+    }
+    cursor -= duration;
+  }
+
+  return {
+    elapsedInTitle: durations[durations.length - 1] || 4600,
+    index: titles.length - 1,
+    title: titles[titles.length - 1] || PHASE_TITLES.processing,
+  };
+}
+
+function getLongWaitTitleState(elapsedMs: number, initialTitle?: string) {
+  const titles = initialTitle
+    ? [
+        initialTitle,
+        ...LONG_WAIT_STATUS_TITLES.filter((item) => item !== initialTitle),
+      ]
+    : LONG_WAIT_STATUS_TITLES;
+  const elapsedAfterThreshold = Math.max(
+    0,
+    elapsedMs - LONG_WAIT_TITLE_THRESHOLD_MS
+  );
+  const duration = 7600;
+  const index = Math.floor(elapsedAfterThreshold / duration) % titles.length;
+
+  return {
+    elapsedInTitle: elapsedAfterThreshold % duration,
+    index,
+    title: titles[index] || titles[0] || PHASE_TITLES.processing,
+  };
+}
+
+function getTypewriterText(text: string, elapsedInTitle: number, index: number) {
+  const chars = Array.from(text);
+  if (chars.length === 0) return "";
+  const step = TYPEWRITER_BASE_STEP_MS + (index % 5) * 8;
+  const visibleCount = Math.max(
+    1,
+    Math.min(
+      chars.length,
+      Math.floor(
+        Math.max(0, elapsedInTitle - TYPEWRITER_START_DELAY_MS) / step
+      ) + 1
+    )
+  );
+  return chars.slice(0, visibleCount).join("");
+}
+
 function getBloubState(phase: GenerationPhase): StateId {
   if (phase === "failed") return "alert";
   if (phase === "completed") return "wink";
@@ -51,10 +228,39 @@ export function GenerationDotPlaceholder({
   showProgress = true,
   title,
 }: GenerationDotPlaceholderProps) {
-  const resolvedProgress = typeof progress === "number" && Number.isFinite(progress)
+  const [elapsedMs, setElapsedMs] = useState(0);
-    ? clampProgress(progress) : null;
+
-  const resolvedTitle = title || PHASE_TITLES[phase];
+  useEffect(() => {
+    const startedAt = Date.now();
+    const timer = window.setInterval(() => {
+      setElapsedMs(Date.now() - startedAt);
+    }, 90);
+    return () => window.clearInterval(timer);
+  }, [phase]);
+
+  const resolvedProgress = clampProgress(
+    typeof progress === "number" ? progress : estimateProgress(phase, elapsedMs)
+  );
+  const isLongWaitTitle =
+    (phase === "processing" || phase === "finalizing") &&
+    elapsedMs >= LONG_WAIT_TITLE_THRESHOLD_MS;
+  const statusTitleState = isLongWaitTitle
+    ? getLongWaitTitleState(elapsedMs, title)
+    : getStatusTitleState(elapsedMs, title);
+  const rotatingTitle = getTypewriterText(
+    statusTitleState.title,
+    statusTitleState.elapsedInTitle,
+    statusTitleState.index
+  );
+  const resolvedTitle =
+    phase === "processing" || phase === "finalizing"
+      ? rotatingTitle
+      : title || PHASE_TITLES[phase];
   const playSequence = phase === "processing" || phase === "finalizing";
+  const progressStyle = useMemo(
+    () => ({ width: `${resolvedProgress}%` }),
+    [resolvedProgress]
+  );
 
   return (
     <div
@@ -75,6 +281,10 @@ export function GenerationDotPlaceholder({
           )}
         >
           {resolvedTitle}
+          <span
+            aria-hidden="true"
+            className="ml-1 inline-block h-[1em] w-[0.08em] translate-y-[0.15em] animate-[generationCursorBlink_1s_steps(1,end)_infinite] bg-current"
+          />
         </div>
 
         <div className="flex min-h-0 flex-1 items-center justify-center py-3">
@@ -87,13 +297,13 @@ export function GenerationDotPlaceholder({
           />
         </div>
 
-        {showProgress && phase !== "completed" ? (
+        {showProgress ? (
           <div className="space-y-2">
             <div className="flex items-center justify-between text-[12px] font-medium text-[#7d838b] dark:text-zinc-400">
-              <span>{phase === "failed" ? "已停止" : resolvedProgress === null ? "等待结果，返回后自动展示" : "生成进度"}</span>
+              <span>{phase === "failed" ? "已停止" : "生成进度"}</span>
-              {resolvedProgress !== null ? <span>{resolvedProgress}%</span> : null}
+              <span>{resolvedProgress}%</span>
             </div>
-            {resolvedProgress !== null ? <div role="progressbar" aria-valuenow={resolvedProgress} aria-valuemin={0} aria-valuemax={100} className="h-1.5 overflow-hidden rounded-full bg-white/80 shadow-[inset_0_0_0_1px_rgba(0,0,0,0.035)] dark:bg-white/10 dark:shadow-none">
+            <div className="h-1.5 overflow-hidden rounded-full bg-white/80 shadow-[inset_0_0_0_1px_rgba(0,0,0,0.035)] dark:bg-white/10 dark:shadow-none">
               <div
                 className={cn(
                   "h-full rounded-full transition-[width] duration-700 ease-out",
@@ -101,12 +311,25 @@ export function GenerationDotPlaceholder({
                     ? "bg-[#c7ccd3] dark:bg-zinc-600"
                     : "bg-[#0a0a0c] dark:bg-[#3ecf8e]"
                 )}
-                style={{ width: `${resolvedProgress}%` }}
+                style={progressStyle}
               />
-            </div> : null}
+            </div>
           </div>
         ) : null}
       </div>
+
+      <style jsx>{`
+        @keyframes generationCursorBlink {
+          0%,
+          48% {
+            opacity: 1;
+          }
+          49%,
+          100% {
+            opacity: 0;
+          }
+        }
+      `}</style>
     </div>
   );
 }

components/image-annotator.tsx

@@ -918,9 +918,9 @@ export function ImageAnnotator({
 
     setIsRemovingBg(true);
     try {
-      const input = /^https?:\/\//i.test(originalImageUrl)
+      // 使用原图URL获取原图数据，而不是canvas的预览图
-        ? { imageUrl: originalImageUrl }
+      const base64Data = await imageUrlToBase64(originalImageUrl);
-        : { image_base64: await imageUrlToBase64(originalImageUrl) };
+      logger.debug("rmbg_source_prepared", { base64Length: base64Data.length });
 
       // 调用抠图API
       const response = await fetch("/api/rmbg", {
@@ -929,7 +929,7 @@ export function ImageAnnotator({
           "Content-Type": "application/json",
         },
         body: JSON.stringify({
-          ...input,
+          image_base64: base64Data,
           prompt: "画图标注-抠图处理", // 可选：添加提示词
         }),
       });

components/image-generation-loading.tsx

@@ -41,11 +41,45 @@ const PHASE_HINT: Record<NonNullable<ImageGenerationLoadingProps["phase"]>, stri
   idle: "任务已创建，正在初始化生成参数。",
   queued: "任务已进入队列，请稍候。",
   processing: "模型正在生成图片，请稍候。",
-  finalizing: "图片已返回，正在保存并同步到对话。",
+  finalizing: "图片已生成完成，正在同步到对话。",
-  failed: "本次处理已停止，请查看对话中的原因和建议。",
+  failed: "生成失败，请重试。",
 };
 
+const LONG_PROCESSING_HINTS = [
+  "正在读取参考图与文字需求。",
+  "正在分析主体、场景和构图关系。",
+  "正在提取画面中的关键视觉特征。",
+  "正在确认图片比例和输出尺寸。",
+  "正在匹配当前模型的最佳生成参数。",
+  "正在把参考图信息提交给模型。",
+  "正在等待模型完成第一阶段推理。",
+  "正在生成初始画面结构。",
+  "正在保持主体特征和参考一致。",
+  "正在补全画面中的空间层次。",
+  "正在调整光影方向和明暗关系。",
+  "正在优化主体边缘与背景融合。",
+  "正在细化材质、纹理和局部细节。",
+  "正在减少画面噪点和不自然区域。",
+  "正在提升清晰度与整体质感。",
+  "正在检查生成结果的完整性。",
+  "正在处理高分辨率输出。",
+  "正在等待服务商返回最终图片。",
+  "正在保存图片并同步到对话。",
+  "正在准备把结果显示到画布。",
+];
 const LONG_WAIT_SECONDS = 5 * 60;
+const LONG_WAIT_HINT =
+  "服务繁忙，模型可能正在排队或自动尝试备用通道，请耐心等候，结果返回后会自动同步到画布。";
+
+function getLongProcessingHint(phase: NonNullable<ImageGenerationLoadingProps["phase"]>, elapsedSeconds: number) {
+  if (phase !== "processing" && phase !== "finalizing") return PHASE_HINT[phase];
+  if (elapsedSeconds >= LONG_WAIT_SECONDS) return LONG_WAIT_HINT;
+  const index = Math.min(
+    LONG_PROCESSING_HINTS.length - 1,
+    Math.floor(Math.max(0, elapsedSeconds) / 15)
+  );
+  return LONG_PROCESSING_HINTS[index];
+}
 
 function formatImageQueueWaitLabel(estimatedWaitMs?: number) {
   const numeric = Number(estimatedWaitMs || 0);
@@ -104,8 +138,16 @@ export const ImageGenerationLoading = memo(
     const isLongWait =
       resolvedElapsedSeconds >= LONG_WAIT_SECONDS &&
       (phase === "processing" || phase === "finalizing");
-    const elapsedLabel = resolvedElapsedSeconds > 0 ? `已等待 ${resolvedElapsedSeconds}s` : "";
+    const estimateRangeLabel = isLongWait
-    const phaseHint = PHASE_HINT[phase];
+      ? "单次最长约10分钟"
+      : providerType === "grsai-gpt-image"
+        ? "2～5分钟"
+        : "60～120秒";
+    const elapsedLabel =
+      resolvedElapsedSeconds > 0
+        ? `已等待 ${resolvedElapsedSeconds}s`
+        : `预计 ${estimateRangeLabel}`;
+    const phaseHint = getLongProcessingHint(phase, resolvedElapsedSeconds);
     const queueLine =
       phase === "queued" && Number.isFinite(queuePosition)
         ? Math.max(0, Number(queuePosition || 0)) > 0
@@ -147,12 +189,12 @@ export const ImageGenerationLoading = memo(
             }
             compact={count > 1}
             phase={phase}
-            title={isLongWait && phase === "processing" ? "模型尚未返回结果，请勿重复提交" : undefined}
+            title={isLongWait ? "服务繁忙，排队处理中" : undefined}
           />
 
           <div className="space-y-0.5 text-[#9aa3b2]">
             <div className="text-[13px] font-medium">
-              使用 {resolvedModelName} 生成图片
+              使用 {resolvedModelName} 生成图片，预计 {estimateRangeLabel}
             </div>
             {queueLine ? <div className="text-[13px]">{queueLine}</div> : null}
             {queueDetailLine ? <div className="text-[13px]">{queueDetailLine}</div> : null}

components/ui/alert-dialog.tsx

@@ -29,10 +29,10 @@ AlertDialogOverlay.displayName = AlertDialogPrimitive.Overlay.displayName
 
 const AlertDialogContent = React.forwardRef<
   React.ElementRef<typeof AlertDialogPrimitive.Content>,
-  React.ComponentPropsWithoutRef<typeof AlertDialogPrimitive.Content> & { overlayClassName?: string }
+  React.ComponentPropsWithoutRef<typeof AlertDialogPrimitive.Content>
->(({ className, overlayClassName, ...props }, ref) => (
+>(({ className, ...props }, ref) => (
   <AlertDialogPortal>
-    <AlertDialogOverlay className={overlayClassName} />
+    <AlertDialogOverlay />
     <AlertDialogPrimitive.Content
       ref={ref}
       className={cn(

docs/production-48.md

@@ -92,16 +92,8 @@ public 先从当前运行版本创建写入时复制副本，保留未纳入 Git
 
 原生产 checkout 的支线及未提交改动仍保留，不能据其 Git HEAD 判断已发布版本。
 实际发布证据是：运行 cwd、`.next/BUILD_ID`、该目录 `release.json` 和 `activation.json`。
-`next.config.ts` 将本流程的发布目录编号写入前后端版本标识；`/api/app-version` 返回该编号且不缓存，发布烟测会核对它与运行目录一致。网页每分钟及切回页面时检查更新，发现版本变化后提示同步并刷新；画布同步失败或当前任务仍在处理时保留页面。首次接入前已经打开的旧网页需先刷新一次，后续发布即可自动收到提示。
 维护电脑的 `.git/releases/<发布ID>/` 保留提交、构建日志、烟测、传输校验和及操作回执。
 服务器回滚配置可能含环境元数据，目录权限为 0700、文件为 0600，不放入公开目录或 Git。
 
 仓库历史全量 lint 仍有已记录的问题，不能声称全部质量门禁通过。
 每次 PR 须记录本次改动的验证、历史失败和未覆盖项目；当前流程不会自动触发生产发布。
-
-## ZIP 下载交付
-
-默认存储为七牛时，完整 ZIP 通过分片上传至七牛，确认下载地址可用后才提供下载。
-大文件使用三个并发分片，上传进度显示在原打包任务中。传送或链接检查失败会返回具体阶段、
-下载编号及重试建议，保留已生成的 ZIP；再次点击下载复用原文件，已上传的完整对象不重复上传。
-后台 ZIP 任务参与发布期间的工作等待。完成或失败的任务及文件保留 24 小时，待处理任务保留 6 小时。

hooks/use-video-canvas-persistence.ts

@@ -1,7 +1,6 @@
 "use client";
 
 import { useCallback, useEffect, useRef, useState } from "react";
-import { BEFORE_PAGE_REFRESH, type PageRefreshRequest } from "@/lib/client/page-refresh";
 import { mergeCanvasSnapshots, type CanvasConflictChoice } from "@/lib/video-canvas/merge-snapshot";
 import {
   CanvasRevisionConflict,
@@ -150,16 +149,6 @@ export function useVideoCanvasPersistence(
     return !queue.dirty && !queue.failed;
   }, [ready]);
 
-  useEffect(() => {
-    const beforeRefresh = (event: Event) => {
-      (event as CustomEvent<PageRefreshRequest>).detail.save(async () => {
-        if (!(await saveAndConfirm())) throw new Error("视频画布尚未同步完成，本地草稿已保留，请重试刷新。");
-      });
-    };
-    window.addEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-    return () => window.removeEventListener(BEFORE_PAGE_REFRESH, beforeRefresh);
-  }, [saveAndConfirm]);
-
   useEffect(() => {
     const onKeyDown = (event: KeyboardEvent) => {
       if ((event.metaKey || event.ctrlKey) && event.key.toLowerCase() === "s") {

lib/agents/mode-workspace-state.ts

@@ -14,8 +14,6 @@ import {
   sanitizeAgentDetailBrief,
 } from "@/lib/agents/detail-generation-config";
 
-export const MAX_DETAIL_REPLACEMENT_REFERENCES = 64;
-
 export function createEmptyAgentModeWorkspaceState(): AgentModeWorkspaceState {
   return {
     detailReplacement: {

lib/agents/workflow-composer.ts

@@ -407,32 +407,6 @@ function buildPromptSection(title: string, lines: string[]) {
   return `【${title}】\n${normalizedLines.join("\n")}`;
 }
 
-export function resolveAgentWorkflowComposerSelections(params: {
-  config?: AgentWorkflowUiConfig | null;
-  selections: Partial<Record<AgentWorkflowStepKey, string>>;
-}): AgentWorkflowComposerContext["selections"] {
-  const config = params.config || defaultAgentWorkflowUiConfig;
-  const steps = flattenVisibleAgentWorkflowSteps(
-    getEnabledAgentWorkflowStepTree(Array.isArray(config.steps) ? config.steps : []),
-    params.selections
-  )
-    .map(({ step }) => step)
-    .filter((step) => Array.isArray(step.options) && step.options.length > 0);
-  return steps.flatMap((step) => {
-    const selectedOptions = getAgentWorkflowSelectedOptionPath({
-      step,
-      selectionValue: params.selections[step.key],
-    });
-    return selectedOptions.map((option) => ({
-      stepKey: step.key,
-      stepTitle: step.title,
-      optionKey: option.key,
-      optionName: option.buttonName,
-      promptFragment: option.promptFragment || option.buttonName,
-    }));
-  });
-}
-
 export function buildAgentWorkflowComposerContext(params: {
   config?: AgentWorkflowUiConfig | null;
   inputs: AgentWorkflowInputsValue;
@@ -440,9 +414,30 @@ export function buildAgentWorkflowComposerContext(params: {
   selectedBrandModel?: AgentWorkflowSelectedBrandModel | null;
   appearanceRecognitionEnabled?: boolean;
   selections: Partial<Record<AgentWorkflowStepKey, string>>;
-  resolvedSelections?: AgentWorkflowComposerContext["selections"];
 }): AgentWorkflowComposerContext | null {
-  const selections = params.resolvedSelections ?? resolveAgentWorkflowComposerSelections(params);
+  const config = params.config || defaultAgentWorkflowUiConfig;
+  const steps = flattenVisibleAgentWorkflowSteps(
+    getEnabledAgentWorkflowStepTree(Array.isArray(config.steps) ? config.steps : []),
+    params.selections
+  )
+    .map(({ step }) => step)
+    .filter((step) => Array.isArray(step.options) && step.options.length > 0);
+  const selections = steps
+    .map((step) => {
+      const selectedOptions = getAgentWorkflowSelectedOptionPath({
+        step,
+        selectionValue: params.selections[step.key],
+      });
+      if (selectedOptions.length === 0) return [];
+      return selectedOptions.map((option) => ({
+        stepKey: step.key,
+        stepTitle: step.title,
+        optionKey: option.key,
+        optionName: option.buttonName,
+        promptFragment: option.promptFragment || option.buttonName,
+      }));
+    })
+    .flat() as AgentWorkflowComposerContext["selections"];
   const referenceImages = getSelectedWorkflowReferenceImages({
     inputs: params.inputs,
     materials: params.materials,

lib/agents/workflow-loading.ts

@@ -1,18 +0,0 @@
-import type { AgentWorkflowOptionUiConfig, AgentWorkflowStepUiConfig } from "@/types/agent";
-
-export function omitAgentWorkflowPrompts(steps: AgentWorkflowStepUiConfig[]): AgentWorkflowStepUiConfig[] {
-  const omitOptionPrompt = ({ promptFragment: _prompt, children, ...option }: AgentWorkflowOptionUiConfig): AgentWorkflowOptionUiConfig => ({
-    ...option,
-    ...(children?.length ? { children: children.map(omitOptionPrompt) } : {}),
-  });
-  return steps.map(({ options, children, ...step }) => ({
-    ...step,
-    options: options.map(omitOptionPrompt),
-    ...(children?.length ? { children: omitAgentWorkflowPrompts(children) } : {}),
-  }));
-}
-
-export function getWorkflowSelectionsRequest(selections: Record<string, string | undefined>) {
-  const entries = Object.entries(selections).filter(([, value]) => value?.trim());
-  return entries.length ? JSON.stringify(Object.fromEntries(entries.sort(([a], [b]) => a.localeCompare(b)))) : "";
-}

lib/ai/box-cutout/service.ts

@@ -4,9 +4,6 @@ import {
   executeRmbgJob,
   fetchImageBufferFromUrl,
 } from "@/lib/ai/rmbg/service";
-import { createLogger } from "@/lib/observability/logger";
-
-const logger = createLogger("box-cutout-service");
 
 export type NormalizedCropRect = {
   x: number;
@@ -16,7 +13,6 @@ export type NormalizedCropRect = {
 };
 
 export interface ExecuteBoxCutoutJobParams {
-  requestId?: string;
   userId: string;
   imageUrl: string;
   cropRect: Partial<NormalizedCropRect>;
@@ -147,7 +143,6 @@ function applyPadding(
 export async function executeBoxCutoutJob(
   params: ExecuteBoxCutoutJobParams,
 ): Promise<ExecuteBoxCutoutJobResult> {
-  const requestId = params.requestId || crypto.randomUUID();
   const imageUrl = String(params.imageUrl || "").trim();
   if (!imageUrl) {
     throw new BoxCutoutServiceError("缺少 imageUrl 参数", 400);
@@ -155,7 +150,7 @@ export async function executeBoxCutoutJob(
 
   const cropRect = sanitizeNormalizedCropRect(params.cropRect);
   if (!cropRect) {
-    throw new BoxCutoutServiceError("框选范围无效，请重新框选需要抠出的区域后提交。", 400);
+    throw new BoxCutoutServiceError("缺少有效的 cropRect 参数", 400);
   }
 
   const paddingRatio = normalizeBoxCutoutPaddingRatio(params.paddingRatio);
@@ -175,7 +170,7 @@ export async function executeBoxCutoutJob(
 
   const cropRectPixels = toPixelRect(cropRect, sourceWidth, sourceHeight);
   if (cropRectPixels.width < MIN_CROP_EDGE_PX || cropRectPixels.height < MIN_CROP_EDGE_PX) {
-    throw new BoxCutoutServiceError("框选区域过小，宽、高均须至少 24 像素，请扩大框选范围后重新提交。", 400);
+    throw new BoxCutoutServiceError("框选区域过小，请重新框选", 400);
   }
 
   const paddedCropRect = applyPadding(cropRect, paddingRatio);
@@ -189,18 +184,7 @@ export async function executeBoxCutoutJob(
     })
     .toBuffer();
 
-  logger.info("crop_prepared", {
-    requestId,
-    sourceNodeId: params.sourceNodeId,
-    sourceWidth,
-    sourceHeight,
-    cropRectPixels,
-    paddedCropRectPixels,
-    inputBytes: croppedBuffer.length,
-  });
-
   const result = await executeRmbgJob({
-    requestId,
     userId: params.userId,
     imageBuffer: croppedBuffer,
     imageBase64: croppedBuffer.toString("base64"),

lib/ai/canvas-agent-runtime/image-access-tools.ts

@@ -9,7 +9,6 @@ import {
   summarizeAgentCapabilities,
 } from "./capability-access";
 import type { CanvasAgentTool } from "./loop";
-import { AgentToolRejectedError } from "./protocol";
 import type { CanvasOperationPlan } from "@/types/canvas/agent-protocol";
 
 export function registerImageCanvasAccessTools(params: {
@@ -60,10 +59,10 @@ export function registerImageCanvasAccessTools(params: {
         (item) => item.workspace === "canvas" && item.id === input.featureId,
       );
       if (!feature?.authorized || !feature.id.startsWith("canvas.ui."))
-        throw new AgentToolRejectedError("请使用清单中的图片画布界面入口，媒体能力请使用对应专用工具；本次未打开面板或提交处理。");
+        throw new Error("请使用清单中的图片画布界面入口，媒体能力请使用对应专用工具");
       const { nodes } = await readOwnedCanvas(params.userId, params.projectId);
       if (input.nodeIds.some((nodeId) => !nodes.some((node) => node.id === nodeId)))
-        throw new AgentToolRejectedError("目标节点不属于当前画布，本次未打开面板或提交处理。");
+        throw new Error("目标节点不属于当前画布");
       params.emit("data-canvasAgentUiCommand", {
         projectId: params.projectId,
         requestId: `${params.runId}:${id}`,

lib/ai/canvas-agent-runtime/image-preferences.ts

@@ -13,18 +13,13 @@ export type AgentImageParameters = {
 };
 export type AgentImagePreferences = { modelId?: string; parameters?: AgentImageParameters };
 
-export function selectedAgentImageCount(preferences?: AgentImagePreferences) {
-  const count = preferences?.parameters?.imageCount ?? preferences?.parameters?.n;
-  return count === undefined ? undefined : Math.floor(count);
-}
-
 export function applyAgentImagePreferences<T extends Record<string, unknown>>(
   input: T,
   preferences?: AgentImagePreferences,
 ): T & AgentImageParameters & { modelId?: string } {
   const parameters = Object.fromEntries(Object.entries(preferences?.parameters || {})
     .filter(([, value]) => value !== undefined));
-  const count = selectedAgentImageCount(preferences);
+  const count = preferences?.parameters?.imageCount ?? preferences?.parameters?.n;
   return {
     ...input,
     ...parameters,

lib/ai/canvas-agent-runtime/results.ts

@@ -1,14 +1,5 @@
 import type { AgentCallRecord, AgentRunSnapshot } from "./protocol";
 
-export function countAgentGeneratedImages(calls: AgentCallRecord[]) {
-  return calls.reduce((count, call) => {
-    const output = call.output;
-    if (call.status !== "succeeded" || !output?.appliedImagePreferences ||
-      !Array.isArray(output.createdNodeIds)) return count;
-    return count + output.createdNodeIds.length;
-  }, 0);
-}
-
 // A spontaneous download command is not an unfinished image edit. Keep genuine
 // download requests and all editor panels waiting for their actual interaction.
 export function isAncillaryDownload(snapshot: AgentRunSnapshot, call: AgentCallRecord) {

lib/ai/canvas-agent-runtime/review.ts

@@ -5,8 +5,7 @@ import sharp from "sharp";
 import { z } from "zod";
 import { readCanvasImages, readOwnedCanvas, type RuntimeImageNode } from "./canvas";
 import type { AgentRunSnapshot } from "./protocol";
-import { countAgentGeneratedImages, finalResultNodeIds, originalSourceNodeIds, requiresCanvasInteraction } from "./results";
+import { finalResultNodeIds, originalSourceNodeIds, requiresCanvasInteraction } from "./results";
-import { selectedAgentImageCount } from "./image-preferences";
 import { isCompletedSimpleCutout } from "./cutout-completion";
 
 export async function inspectImageAlpha(source: Buffer) {
@@ -125,16 +124,14 @@ export async function verifyCanvasAgentResults(params: {
     (call) =>
       call.status !== "succeeded" ||
       requiresCanvasInteraction(snapshot, call) ||
-      (typeof call.output?.status === "string" && call.output.status !== "succeeded" &&
+      (typeof call.output?.status === "string" && call.output.status !== "succeeded"),
-        !(call.output.status === "partial" && call.output.appliedImagePreferences)),
   );
   if (incomplete.length) return { passed: false, issues: ["部分操作仍在等待交互或未完成"] };
   const plan = calls.filter((call) => call.name === "planCanvasTask").at(-1)?.output;
   if (!plan) return { passed: false, issues: ["缺少明确的任务验收计划"] };
   // Intermediate images consumed by later write tools do not count as final deliverables.
   const finalIds = finalResultNodeIds(snapshot);
-  const expectedCount = snapshot.requirements?.expectedImageCount ?? plan.expectedImageCount ??
+  const expectedCount = snapshot.requirements?.expectedImageCount ?? plan.expectedImageCount;
-    (countAgentGeneratedImages(calls) > 0 ? selectedAgentImageCount(snapshot.imagePreferences) : undefined);
   if (expectedCount && finalIds.length !== expectedCount) {
     return {
       passed: false,

lib/ai/canvas-agent-runtime/tools.ts

@@ -1,11 +1,5 @@
 import type { AgentVisionExecutor } from "../runtime/agent-vision-failover";
-import {
+import { resolveUserImageModel, applyAgentImagePreferences, agentProviderImageParameters, type AgentImagePreferences } from "./image-preferences";
-  agentProviderImageParameters,
-  applyAgentImagePreferences,
-  resolveUserImageModel,
-  selectedAgentImageCount,
-  type AgentImagePreferences,
-} from "./image-preferences";
 import { tool, type LanguageModel, type ToolSet } from "ai";
 import { z } from "zod";
 import { createCanvasCapabilityTools } from "@/lib/canvas/capabilities/ai-sdk-tools";
@@ -24,8 +18,6 @@ import {
   sortStyleProImageModelEntries,
 } from "@/lib/style-pro/model-options";
 import type { CanvasAgentLoopPorts, CanvasAgentTool } from "./loop";
-import { AgentToolRejectedError, type AgentCallRecord } from "./protocol";
-import { countAgentGeneratedImages } from "./results";
 import { readCanvasImages, readOwnedCanvas } from "./canvas";
 import { analyzeRuntimeImages } from "./review";
 import { isExplicitDestructiveIntent } from "./capability-access";
@@ -45,13 +37,11 @@ export async function buildCanvasRuntimeTools(params: {
   imageSize?: string;
   preferredModelId?: string;
   imagePreferences?: AgentImagePreferences;
-  priorCalls?: AgentCallRecord[];
   emit: (type: string, data: unknown) => void;
   objective?: string;
   operationSelectedNodeIds?: string[];
 }) {
   const { nodes } = await readOwnedCanvas(params.userId, params.projectId);
-  const selectedImageCount = selectedAgentImageCount(params.imagePreferences);
   const imageNodeIds = nodes.filter((node) => node.type === "image").map((node) => node.id);
   const defaults = params.selectedNodeIds.filter((id) => imageNodeIds.includes(id));
   const sdk = await createCanvasCapabilityTools({
@@ -138,8 +128,8 @@ export async function buildCanvasRuntimeTools(params: {
       visualCriteria: z.array(z.string().max(200)).max(10),
     }),
     async (input) => ({ ...input,
-      ...(input.expectedImageCount !== undefined && selectedImageCount !== undefined
+      ...(input.expectedImageCount !== undefined && params.imagePreferences?.parameters?.imageCount !== undefined
-        ? { expectedImageCount: selectedImageCount } : {}),
+        ? { expectedImageCount: params.imagePreferences.parameters.imageCount } : {}),
       ...(params.imagePreferences?.parameters?.aspectRatio && params.imagePreferences.parameters.aspectRatio !== "auto"
         ? { aspectRatio: params.imagePreferences.parameters.aspectRatio } : {}),
     }),
@@ -173,8 +163,6 @@ export async function buildCanvasRuntimeTools(params: {
       };
     },
   );
-  const inspectedImages = new Map<string, Buffer>();
-  let inspectedImageBytes = 0;
   register(
     "analyzeCanvasImages",
     "检查图片",
@@ -183,28 +171,10 @@ export async function buildCanvasRuntimeTools(params: {
       nodeIds: z.array(z.string().min(1).max(180)).min(1).max(4),
       question: z.string().min(1).max(2000),
     }),
-    async (input) => analyzeRuntimeImages({
+    async (input) => analyzeRuntimeImages({ ...params, ...input }),
-      ...params,
-      ...input,
-      reviewPorts: {
-        readImage: async (url) => {
-          const cached = inspectedImages.get(url);
-          if (cached) return cached;
-          const { fetchImageBufferFromUrl } = await import("@/lib/ai/rmbg/service");
-          const original = await fetchImageBufferFromUrl(url);
-          if (!inspectedImages.has(url) && inspectedImageBytes + original.length <= 32 * 1024 * 1024) {
-            inspectedImages.set(url, original);
-            inspectedImageBytes += original.length;
-          }
-          return original;
-        },
-      },
-    }),
   );
 
-  let submittedCount = 0;
+  let generatedCount = 0;
-  let occupiedImageSlots = countAgentGeneratedImages(params.priorCalls ?? []);
-  const countLimitMessage = "本次设定的生成张数已占满，请先查看正在生成或已经生成的结果。";
   register(
     "generateCanvasImages",
     "生成图片",
@@ -219,8 +189,9 @@ export async function buildCanvasRuntimeTools(params: {
     }),
     async (toolInput, callId) => {
       const input = applyAgentImagePreferences(toolInput, params.imagePreferences);
-      if (selectedImageCount !== undefined && occupiedImageSlots >= selectedImageCount)
+      // Bound per-task spend without introducing any global/model concurrency queue.
-        throw new AgentToolRejectedError(countLimitMessage);
+      if (generatedCount + input.imageCount > 24)
+        throw new Error("本次任务已达到 24 张生成预算，请检查结果后继续。");
       const sources = await readCanvasImages(
         params.userId,
         params.projectId,
@@ -243,17 +214,10 @@ export async function buildCanvasRuntimeTools(params: {
       if (!chosen) throw new Error("系统未配置可用的图片生成模型");
       const imageSize = input.imageSize || params.imageSize || "2K";
       const quota = await checkUserImageQuota(params.userId);
-      const points = await getPointsSystemConfig();
-      const user = await getUserById({ id: params.userId });
-      // Reserve the remaining slots before dispatch, including calls still in flight.
-      if (selectedImageCount !== undefined) {
-        input.imageCount = Math.min(input.imageCount, selectedImageCount - occupiedImageSlots);
-        if (input.imageCount < 1) throw new AgentToolRejectedError(countLimitMessage);
-      }
-      if (submittedCount + input.imageCount > 24)
-        throw new AgentToolRejectedError("本次任务已达到 24 张生成预算，请检查结果后继续。");
       if (!quota.allowed || (quota.remaining !== null && input.imageCount > quota.remaining))
         throw new Error("本月图片生成配额不足。");
+      const points = await getPointsSystemConfig();
+      const user = await getUserById({ id: params.userId });
       const cost =
         getModelGenerationCreditCost(
           { imageGenConfig: chosen.model.imageGenConfig as DiscountableImageGenConfigLike | null },
@@ -267,8 +231,7 @@ export async function buildCanvasRuntimeTools(params: {
         (user?.pointsBalance ?? 0) < cost
       )
         throw new Error("积分不足，请充值或联系管理员。");
-      submittedCount += input.imageCount;
+      generatedCount += input.imageCount;
-      occupiedImageSlots += input.imageCount;
       const result = await generateCanvasImage({
         prompt: input.prompt,
         model: chosen.model.id,
@@ -284,7 +247,6 @@ export async function buildCanvasRuntimeTools(params: {
           ? Math.max(0, user?.pointsBalance ?? 0) / input.imageCount : undefined,
         ownerKey: params.userId,
         referenceImages: sources.map((node) => node.data.src || node.data.url!),
-        referenceImageBuffers: inspectedImages,
         debugLabel: "canvas-agent-runtime",
         debugMeta: { runId: params.runId, callId },
       });
@@ -349,7 +311,6 @@ export async function buildCanvasRuntimeTools(params: {
         },
       );
       }
-      occupiedImageSlots += result.images.length - input.imageCount;
       return {
         status: result.images.length < input.imageCount ? "partial" : "succeeded",
         appliedImagePreferences: { modelId: result.modelRef, imageSize, aspectRatio: input.aspectRatio, imageCount: input.imageCount },

lib/ai/canvas-agent-runtime/video-image-functions.ts

@@ -72,7 +72,6 @@ export async function processVideoCanvasImage(
     const result = await executeRmbgJob({
       userId: params.userId,
       imageBuffer: await fetchImageBufferFromUrl(imageUrl),
-      inputImageUrl: imageUrl,
       sourceImageUrl: imageUrl,
       prompt: params.prompt,
     });

lib/ai/detail-replacement-image-model-config.ts

@@ -1,5 +1,3 @@
-import { isVideoModelDescriptor } from "@/lib/ai/model-classification";
-
 export const DETAIL_REPLACEMENT_IMAGE_MODEL_CONFIG_KEY =
   "detail_replacement_image_model_config";
 
@@ -22,28 +20,3 @@ export function normalizeDetailReplacementImageModelConfig(
     modelId: modelId || DEFAULT_DETAIL_REPLACEMENT_IMAGE_MODEL_ID,
   };
 }
-
-export function isDetailReplacementImageModel({
-  model,
-  provider,
-}: {
-  model: { modelId: string; supportsImageGen: boolean; isSubModel: boolean; capabilities?: unknown };
-  provider?: { type?: string | null } | null;
-}) {
-  return model.supportsImageGen && !model.isSubModel && !isVideoModelDescriptor({
-    providerType: provider?.type,
-    modelId: model.modelId,
-    capabilities: model.capabilities,
-    supportsImageGen: model.supportsImageGen,
-  });
-}
-
-export function findConfiguredDetailReplacementImageModel<
-  T extends Parameters<typeof isDetailReplacementImageModel>[0] & { model: { id: string } },
->(models: T[], setting: unknown): T | undefined {
-  const { modelId } = normalizeDetailReplacementImageModelConfig(setting);
-  return models.find((entry) =>
-    (entry.model.id === modelId || entry.model.modelId === modelId) &&
-    isDetailReplacementImageModel(entry)
-  );
-}

lib/ai/extend/config.ts

@@ -3,19 +3,6 @@ export type ExtendProviderCredential = {
   updatedAt?: Date | string | null;
 };
 
-export type ExtendProvider = "vip98k" | "dashscope" | "fal";
-
-export function resolveFalExtendApiKey(providers: Array<ExtendProviderCredential & { baseUrl?: string | null }>) {
-  for (const { apiKey, baseUrl } of providers) {
-    if (!apiKey || !baseUrl) continue;
-    const url = URL.canParse(baseUrl) ? new URL(baseUrl) : null;
-    if (url?.protocol === "https:" && ["queue.fal.run", "fal.run", "fal.ai", "api.fal.ai"].includes(url.hostname)) {
-      return apiKey.trim().replace(/^(?:Bearer|Key)\s+/i, "");
-    }
-  }
-  return null;
-}
-
 function getUpdatedAtTimestamp(value: Date | string | null | undefined): number {
   if (!value) return 0;
   const timestamp = value instanceof Date ? value.getTime() : Date.parse(value);

lib/ai/extend/fal-outpaint.ts

@@ -1,93 +0,0 @@
-import { createFalClient } from "@fal-ai/client";
-import sharp from "sharp";
-
-export const FAL_OUTPAINT_MODEL = "fal-ai/flux-2-pro/outpaint";
-
-export function getOutpaintGeometry(width: number, height: number, xScale: number, yScale: number) {
-  const targetWidth = Math.round(width * xScale);
-  const targetHeight = Math.round(height * yScale);
-  const ratio = Math.min(1, 2048 / Math.max(targetWidth, targetHeight));
-  const modelWidth = Math.max(1, Math.floor(targetWidth * ratio));
-  const modelHeight = Math.max(1, Math.floor(targetHeight * ratio));
-  const sourceWidth = Math.max(1, Math.round(width * modelWidth / targetWidth));
-  const sourceHeight = Math.max(1, Math.round(height * modelHeight / targetHeight));
-  const left = Math.floor((targetWidth - width) / 2);
-  const top = Math.floor((targetHeight - height) / 2);
-  const modelLeft = Math.round(left * modelWidth / targetWidth);
-  const modelTop = Math.round(top * modelHeight / targetHeight);
-  // Align the model canvas to its 16-pixel grid, then remove the extra border.
-  const extraWidth = (16 - modelWidth % 16) % 16;
-  const extraHeight = (16 - modelHeight % 16) % 16;
-  const cropLeft = Math.floor(extraWidth / 2);
-  const cropTop = Math.floor(extraHeight / 2);
-  return {
-    targetWidth, targetHeight, left, top, modelWidth, modelHeight, sourceWidth, sourceHeight,
-    paddedWidth: modelWidth + extraWidth,
-    paddedHeight: modelHeight + extraHeight,
-    cropLeft,
-    cropTop,
-    expandLeft: modelLeft + cropLeft,
-    expandRight: modelWidth - sourceWidth - modelLeft + extraWidth - cropLeft,
-    expandTop: modelTop + cropTop,
-    expandBottom: modelHeight - sourceHeight - modelTop + extraHeight - cropTop,
-  };
-}
-
-export async function composeOutpaint(source: Buffer, expanded: Buffer, geometry: ReturnType<typeof getOutpaintGeometry>) {
-  const { targetWidth, targetHeight, left, top, modelWidth, modelHeight, paddedWidth, paddedHeight, cropLeft, cropTop } = geometry;
-  const modelImage = sharp(expanded);
-  const info = await modelImage.metadata();
-  if (info.width !== paddedWidth || info.height !== paddedHeight) {
-    throw new Error("扩图服务返回的图片尺寸不正确");
-  }
-
-  // Copy the source rectangle, including transparent pixels, without blending or resizing it.
-  const { data: original, info: sourceInfo } = await sharp(source).toColourspace("srgb").ensureAlpha().raw().toBuffer({ resolveWithObject: true });
-  const result = await modelImage
-    .extract({ left: cropLeft, top: cropTop, width: modelWidth, height: modelHeight })
-    .resize(targetWidth, targetHeight, { fit: "fill" })
-    .toColourspace("srgb").ensureAlpha().raw().toBuffer();
-  const stride = sourceInfo.width * 4;
-  for (let row = 0; row < sourceInfo.height; row++) {
-    original.copy(result, ((top + row) * targetWidth + left) * 4, row * stride, (row + 1) * stride);
-  }
-  return sharp(result, { raw: { width: targetWidth, height: targetHeight, channels: 4 } }).png().toBuffer();
-}
-
-export async function expandWithFalOutpaint({ imageUrl, apiKey, xScale, yScale }: {
-  imageUrl: string;
-  apiKey: string;
-  xScale: number;
-  yScale: number;
-}) {
-  const response = await fetch(imageUrl, { signal: AbortSignal.timeout(45_000) });
-  if (!response.ok) throw new Error("无法读取待扩展的原图");
-  const { data: source, info } = await sharp(Buffer.from(await response.arrayBuffer()))
-    .rotate().png().toBuffer({ resolveWithObject: true });
-  const geometry = getOutpaintGeometry(info.width, info.height, xScale, yScale);
-  if (geometry.targetWidth * geometry.targetHeight > 64_000_000) {
-    throw new Error("扩图后的尺寸过大，请降低扩展倍数");
-  }
-  const fal = createFalClient({ credentials: apiKey });
-  const modelSource = geometry.sourceWidth === info.width && geometry.sourceHeight === info.height
-    ? source
-    : await sharp(source).resize(geometry.sourceWidth, geometry.sourceHeight, { fit: "fill" }).png().toBuffer();
-  const image = await fal.storage.upload(new Blob([new Uint8Array(modelSource)], { type: "image/png" }));
-  const { data } = await fal.subscribe(FAL_OUTPAINT_MODEL, {
-    input: {
-      image_url: image,
-      expand_left: geometry.expandLeft,
-      expand_right: geometry.expandRight,
-      expand_top: geometry.expandTop,
-      expand_bottom: geometry.expandBottom,
-      mode: "high",
-      output_format: "png",
-    },
-    timeout: 90_000,
-  });
-  const outputUrl = (data as { images?: Array<{ url?: string }> }).images?.[0]?.url;
-  if (!outputUrl) throw new Error("扩图服务未返回图片");
-  const output = await fetch(outputUrl, { signal: AbortSignal.timeout(25_000) });
-  if (!output.ok) throw new Error("无法读取扩图结果");
-  return composeOutpaint(source, Buffer.from(await output.arrayBuffer()), geometry);
-}

lib/ai/extend/service.ts

@@ -5,26 +5,21 @@ import {
   getSystemSetting,
   upsertMediaAsset,
 } from "@/lib/db/queries";
-import { type ExtendProvider, resolveAlibabaExtendApiKey, resolveFalExtendApiKey } from "@/lib/ai/extend/config";
+import { resolveAlibabaExtendApiKey } from "@/lib/ai/extend/config";
-import { expandWithFalOutpaint, FAL_OUTPAINT_MODEL } from "@/lib/ai/extend/fal-outpaint";
+import { executeConfiguredVip98kTask } from "@/lib/ai/vip98k-runtime";
-import { executeConfiguredVip98kTask, getVip98kRuntimeProvider } from "@/lib/ai/vip98k-runtime";
-import { expandWithVip98kOutpaint, VIP98K_OUTPAINT_MODEL } from "@/lib/ai/extend/vip98k-outpaint";
 import { db } from "@/lib/db";
 import { generatedImage } from "@/lib/db/schema";
 import { uploadFile } from "@/lib/storage/service";
-import { archiveTemporaryImage } from "@/lib/storage/image-archive";
-import { randomUUID } from "node:crypto";
 
 type ExtendConfig = {
-  provider?: ExtendProvider;
+  provider?: "vip98k" | "dashscope";
   apiKey?: string;
   xScale?: number;
   yScale?: number;
-  modelId?: string;
-  routeOptionId?: string;
 };
 
-const SOURCE_DOWNLOAD_TIMEOUT_MS = 120_000;
+const VIP98K_EXPANSION_FALLBACK_MODEL = "google/nano-banana-pro/edit";
+const VIP98K_SOURCE_DOWNLOAD_TIMEOUT_MS = 120_000;
 const DASHSCOPE_MIN_IMAGE_EDGE = 512;
 const DASHSCOPE_MAX_IMAGE_EDGE = 4096;
 const DASHSCOPE_MAX_IMAGE_BYTES = 10 * 1024 * 1024;
@@ -88,12 +83,12 @@ async function createThumbnail(buffer: Buffer): Promise<Buffer> {
   }
 }
 
-async function uploadBufferPairToS3(buffer: Buffer, originalExtension = "jpg"): Promise<{ thumbnail: string; original: string }> {
+async function uploadBufferPairToS3(buffer: Buffer): Promise<{ thumbnail: string; original: string }> {
   try {
     const timestamp = Date.now();
     const randomStr = Math.random().toString(36).slice(2, 8);
     const thumbnailFilename = `extend-thumb-${timestamp}-${randomStr}.jpg`;
-    const originalFilename = `extend-orig-${timestamp}-${randomStr}.${originalExtension}`;
+    const originalFilename = `extend-orig-${timestamp}-${randomStr}.jpg`;
     const thumbnailBuffer = await createThumbnail(buffer);
     const thumbnailArrayBuffer = thumbnailBuffer.buffer.slice(
       thumbnailBuffer.byteOffset,
@@ -147,7 +142,7 @@ async function normalizeDashscopeExpansionInput(imageUrl: string): Promise<strin
   const response = await fetch(imageUrl, {
     cache: "no-store",
     redirect: "follow",
-    signal: AbortSignal.timeout(SOURCE_DOWNLOAD_TIMEOUT_MS),
+    signal: AbortSignal.timeout(VIP98K_SOURCE_DOWNLOAD_TIMEOUT_MS),
   });
   if (!response.ok) {
     throw new ExtendServiceError(
@@ -242,6 +237,97 @@ async function normalizeDashscopeExpansionInput(imageUrl: string): Promise<strin
   return uploaded.url;
 }
 
+function isTemporaryVip98kExpansionError(error: unknown) {
+  const message = error instanceof Error ? error.message : String(error || "");
+  return /HTTP\s+(?:429|5\d\d)|temporar(?:y|ily)|timeout|timed out|unavailable/i.test(
+    message,
+  );
+}
+
+async function createVip98kExpansionCanvas(
+  imageUrl: string,
+  xScale: number,
+  yScale: number,
+) {
+  const response = await fetch(imageUrl, {
+    cache: "no-store",
+    redirect: "follow",
+    signal: AbortSignal.timeout(VIP98K_SOURCE_DOWNLOAD_TIMEOUT_MS),
+  });
+  if (!response.ok) {
+    throw new ExtendServiceError(
+      "下载待拓展图片失败",
+      502,
+      `${response.status} ${response.statusText}`,
+    );
+  }
+
+  const sourceBuffer = Buffer.from(await response.arrayBuffer());
+  const sharp = await import("sharp");
+  const image = sharp.default(sourceBuffer, { failOn: "none" });
+  const metadata = await image.metadata();
+  const width = Number(metadata.width || 0);
+  const height = Number(metadata.height || 0);
+  if (!width || !height) {
+    throw new ExtendServiceError("无法识别待拓展图片尺寸", 422);
+  }
+
+  const targetWidth = Math.max(width, Math.round(width * xScale));
+  const targetHeight = Math.max(height, Math.round(height * yScale));
+  const left = Math.floor((targetWidth - width) / 2);
+  const top = Math.floor((targetHeight - height) / 2);
+  const canvas = await image
+    .ensureAlpha()
+    .extend({
+      left,
+      right: targetWidth - width - left,
+      top,
+      bottom: targetHeight - height - top,
+      background: { r: 0, g: 0, b: 0, alpha: 0 },
+    })
+    .png()
+    .toBuffer();
+  const arrayBuffer = canvas.buffer.slice(
+    canvas.byteOffset,
+    canvas.byteOffset + canvas.byteLength,
+  ) as ArrayBuffer;
+  const uploaded = await uploadFile(
+    `extend-vip98k-canvas-${Date.now()}-${Math.random().toString(36).slice(2, 8)}.png`,
+    arrayBuffer,
+  );
+  return {
+    imageUrl: uploaded.url,
+    width,
+    height,
+    targetWidth,
+    targetHeight,
+  };
+}
+
+async function extendImageWithVip98kEditFallback(
+  imageUrl: string,
+  xScale: number,
+  yScale: number,
+) {
+  const canvas = await createVip98kExpansionCanvas(imageUrl, xScale, yScale);
+  const result = await executeConfiguredVip98kTask({
+    modelId: VIP98K_EXPANSION_FALLBACK_MODEL,
+    kind: "image",
+    prompt: [
+      "Outpaint only the transparent regions of this image.",
+      "Keep every original pixel, subject, scale, position, perspective, lighting and style unchanged.",
+      `Complete the ${canvas.targetWidth}x${canvas.targetHeight} canvas naturally from the centered ${canvas.width}x${canvas.height} source.`,
+      "Do not crop, zoom, move, replace or redraw the original content.",
+    ].join(" "),
+    imageUrls: [canvas.imageUrl],
+  });
+  const outputUrl = result.outputUrls[0];
+  if (!outputUrl) {
+    throw new ExtendServiceError("VIP98K 生成式扩图未返回图片", 502);
+  }
+  return outputUrl;
+}
+
 async function extendImage(
   imageUrl: string,
   config: ExtendConfig,
@@ -250,9 +336,11 @@ async function extendImage(
   requestId?: string | null,
 ): Promise<string> {
   if (config.provider === "vip98k") {
+    try {
       const result = await executeConfiguredVip98kTask({
         modelId: "image-expansion",
         kind: "image-tool",
+        prompt: `Expand the image canvas naturally to ${xScale}x width and ${yScale}x height. Preserve the original subject, perspective, lighting and style.`,
         imageUrls: [imageUrl],
         imageParams: { xScale, yScale },
       });
@@ -261,6 +349,14 @@ async function extendImage(
         throw new ExtendServiceError("VIP98K 图像拓展未返回图片", 502);
       }
       return outputUrl;
+    } catch (error) {
+      if (!isTemporaryVip98kExpansionError(error)) throw error;
+      console.warn(
+        "[Extend Service] VIP98K expansion tool is temporarily unavailable; using VIP98K generative outpainting fallback",
+        error instanceof Error ? error.message : String(error),
+      );
+      return extendImageWithVip98kEditFallback(imageUrl, xScale, yScale);
+    }
   }
 
   if (!config.apiKey) {
@@ -377,15 +473,6 @@ async function getValidatedExtendConfig(): Promise<ExtendConfig> {
   if (config.provider === "vip98k") {
     return config;
   }
-  if (config.provider === "fal") {
-    const [imageProviders, videoProviders] = await Promise.all([
-      getAiProvidersByType({ type: "fal-image", enabledOnly: true }),
-      getAiProvidersByType({ type: "fal-video", enabledOnly: true }),
-    ]);
-    const apiKey = resolveFalExtendApiKey([...imageProviders, ...videoProviders]);
-    if (!apiKey) throw new ExtendServiceError("扩图服务未配置可用的 fal 密钥", 503);
-    return { ...config, apiKey };
-  }
 
   const alibabaProviders = await getAiProvidersByType({
     type: "alibaba-image",
@@ -435,48 +522,36 @@ export async function executeExtendJob(
     throw new ExtendServiceError("无法获取输入图片URL", 400);
   }
 
+  const preparedInputImageUrl =
+    config.provider === "vip98k"
+      ? inputImageUrl
+      : await normalizeDashscopeExpansionInput(inputImageUrl);
   const startTime = Date.now();
-  let buffer!: Buffer;
+  const extendedImageUrl = await extendImage(
-  let uploadResult: { thumbnail: string; original: string } | undefined;
+    preparedInputImageUrl,
-  let archivedBytes: number | undefined;
+    config,
-  let downloadAsset: Awaited<ReturnType<typeof archiveTemporaryImage>>["downloadAsset"];
+    xScale,
-  let modelId: string;
+    yScale,
-  if (config.provider === "fal") {
+    requestId,
-    buffer = await expandWithFalOutpaint({ imageUrl: inputImageUrl, apiKey: config.apiKey!, xScale, yScale });
+  );
-    modelId = FAL_OUTPAINT_MODEL;
+  const imageResponse = await fetch(extendedImageUrl);
-  } else if (config.provider === "vip98k" && config.modelId === VIP98K_OUTPAINT_MODEL) {
-    if (!config.routeOptionId) throw new ExtendServiceError("98K 扩图线路未配置", 503);
-    const provider = await getVip98kRuntimeProvider();
-    buffer = await expandWithVip98kOutpaint({
-      imageUrl: inputImageUrl, baseUrl: provider.baseUrl, apiKey: provider.apiKey,
-      routeOptionId: config.routeOptionId, xScale, yScale,
-    });
-    modelId = VIP98K_OUTPAINT_MODEL;
-  } else {
-    const prepared = config.provider === "vip98k" ? inputImageUrl : await normalizeDashscopeExpansionInput(inputImageUrl);
-    const url = await extendImage(prepared, config, xScale, yScale, requestId);
-    if (config.provider === "vip98k" && !includeBase64) {
-      const archived = await archiveTemporaryImage(url, requestId || randomUUID());
-      uploadResult = { original: archived.url, thumbnail: archived.thumbnailUrl };
-      archivedBytes = archived.bytes;
-      downloadAsset = archived.downloadAsset;
-    } else {
-      const imageResponse = await fetch(url);
   if (!imageResponse.ok) {
-        throw new ExtendServiceError("下载拓展图片失败", 500, `${imageResponse.status} ${imageResponse.statusText}`);
+    throw new ExtendServiceError(
-      }
+      "下载拓展图片失败",
-      buffer = Buffer.from(await imageResponse.arrayBuffer());
+      500,
-    }
+      `${imageResponse.status} ${imageResponse.statusText}`,
-    modelId = config.provider === "vip98k" ? "image-expansion" : "extend-1.0";
+    );
   }
+
+  const buffer = Buffer.from(await imageResponse.arrayBuffer());
   const imageBase64Result = includeBase64 ? buffer.toString("base64") : undefined;
-  uploadResult ??= await uploadBufferPairToS3(buffer, config.provider === "fal" || config.provider === "vip98k" ? "png" : "jpg");
+  const uploadResult = await uploadBufferPairToS3(buffer);
   console.log("[Extend Service] Result uploaded:", {
     requestId,
     includeBase64,
     inputImageUrl: inputImageUrl.slice(0, 120),
-    modelId,
+    extendedImageUrl: extendedImageUrl.slice(0, 120),
-    outputBytes: archivedBytes ?? buffer.length,
+    outputBytes: buffer.length,
   });
   let mediaAssetId: string | null = null;
   let generatedImageId: string | null = null;
@@ -492,7 +567,7 @@ export async function executeExtendJob(
           thumbnailUrl: uploadResult.thumbnail,
           originalUrl: uploadResult.original,
           prompt,
-          modelId,
+          modelId: config.provider === "vip98k" ? "image-expansion" : "extend-1.0",
           imageSize: "2K",
         })
         .returning();
@@ -516,7 +591,7 @@ export async function executeExtendJob(
         thumbnailUrl: uploadResult.thumbnail,
         displayName: prompt.slice(0, 80),
         prompt,
-        modelId,
+        modelId: config.provider === "vip98k" ? "image-expansion" : "extend-1.0",
         sourceMessageId: messageId,
         sourceTable: "GeneratedImage",
         sourceRowId: generatedImageId,
@@ -525,7 +600,6 @@ export async function executeExtendJob(
           xScale,
           yScale,
           imageSize: "2K",
-          ...(downloadAsset ? { downloadAsset } : {}),
         },
       });
       mediaAssetId = media?.id || null;

lib/ai/extend/vip98k-outpaint.ts

@@ -1,85 +0,0 @@
-import sharp from "sharp";
-
-export const VIP98K_OUTPAINT_MODEL = "gpt-image-2.5-flare";
-
-const RATIOS = [[1, 1], [4, 3], [3, 4], [3, 2], [2, 3], [16, 9], [9, 16]];
-
-export function getVip98kOutpaintGeometry(width: number, height: number, xScale: number, yScale: number) {
-  const targetWidth = Math.round(width * xScale);
-  const targetHeight = Math.round(height * yScale);
-  if (targetWidth * targetHeight > 64_000_000) throw new Error("扩图后的尺寸过大，请降低扩展倍数");
-  const ratio = targetWidth / targetHeight;
-  const [a, b] = RATIOS.reduce((best, next) =>
-    Math.abs(Math.log(ratio / (next[0] / next[1]))) < Math.abs(Math.log(ratio / (best[0] / best[1]))) ? next : best);
-  const paddedWidth = Math.max(targetWidth, Math.ceil(targetHeight * a / b));
-  const paddedHeight = Math.max(targetHeight, Math.ceil(targetWidth * b / a));
-  const factor = Math.min(1, 2048 / Math.max(paddedWidth, paddedHeight));
-  const modelWidth = Math.max(1, Math.round(paddedWidth * factor));
-  const modelHeight = Math.max(1, Math.round(paddedHeight * factor));
-  const sourceWidth = Math.max(1, Math.round(width * factor));
-  const sourceHeight = Math.max(1, Math.round(height * factor));
-  return {
-    targetWidth, targetHeight, modelWidth, modelHeight, sourceWidth, sourceHeight,
-    left: Math.floor((modelWidth - sourceWidth) / 2),
-    top: Math.floor((modelHeight - sourceHeight) / 2),
-    aspectRatio: `${a}:${b}`,
-    resolution: Math.max(targetWidth, targetHeight) > 1536 ? "2K" : "1K",
-  };
-}
-
-export async function expandWithVip98kOutpaint(params: {
-  imageUrl: string;
-  baseUrl: string;
-  apiKey: string;
-  routeOptionId: string;
-  xScale: number;
-  yScale: number;
-}) {
-  const response = await fetch(params.imageUrl, { signal: AbortSignal.timeout(120_000) });
-  if (!response.ok) throw new Error("无法读取待扩展的原图");
-  const { data: source, info } = await sharp(Buffer.from(await response.arrayBuffer()))
-    .rotate().png().toBuffer({ resolveWithObject: true });
-  const g = getVip98kOutpaintGeometry(info.width, info.height, params.xScale, params.yScale);
-  const input = await sharp(source).resize(g.sourceWidth, g.sourceHeight).ensureAlpha().extend({
-    left: g.left, right: g.modelWidth - g.sourceWidth - g.left,
-    top: g.top, bottom: g.modelHeight - g.sourceHeight - g.top,
-    background: { r: 0, g: 0, b: 0, alpha: 0 },
-  }).png().toBuffer();
-  const body = new FormData();
-  const prompt = [
-    "Extend this product image outward on all four sides, continuing its background naturally.",
-    `The reference canvas is ${g.modelWidth}x${g.modelHeight}; the original image is centered at (${g.left},${g.top}) with size ${g.sourceWidth}x${g.sourceHeight}.`,
-    "Fill only the surrounding empty area as a continuation of the same scene.",
-    "Preserve the existing product identity, structure, colors, and all Chinese text and dimension numbers.",
-    "Keep approximately the same composition and the product centered.",
-    "Avoid adding new products or additional text. Return a complete seamless image.",
-  ].join(" ");
-  for (const [key, value] of Object.entries({
-    model: VIP98K_OUTPAINT_MODEL, prompt, n: "1", size: g.aspectRatio,
-    resolution: g.resolution, quality: "high", response_format: "url",
-  })) body.append(key, value);
-  body.append("image[]", new Blob([new Uint8Array(input)], { type: "image/png" }), "outpaint.png");
-  const base = params.baseUrl.replace(/\/$/, "").replace(/\/v1$/, "");
-  const generated = await fetch(`${base}/v1/images/edits`, {
-    method: "POST", body,
-    headers: { Authorization: `Bearer ${params.apiKey}`, "X-Relay-Route-Option": params.routeOptionId },
-    signal: AbortSignal.timeout(180_000),
-  });
-  const result = await generated.json();
-  if (!generated.ok) throw new Error(`98K 扩图失败：${result?.error?.message || `HTTP ${generated.status}`}`);
-  const image = result?.data?.[0];
-  let expanded: Buffer;
-  if (typeof image?.b64_json === "string") {
-    expanded = Buffer.from(image.b64_json, "base64");
-  } else if (typeof image?.url === "string") {
-    const outputUrl = new URL(image.url);
-    const headers = new Headers();
-    if (outputUrl.origin === new URL(base).origin) headers.set("Authorization", `Bearer ${params.apiKey}`);
-    const output = await fetch(outputUrl, { headers, signal: AbortSignal.timeout(60_000) });
-    if (!output.ok) throw new Error(`无法读取扩图结果（HTTP ${output.status}）`);
-    expanded = Buffer.from(await output.arrayBuffer());
-  } else {
-    throw new Error("98K 扩图未返回图片");
-  }
-  return sharp(expanded).resize(g.targetWidth, g.targetHeight, { fit: "cover", position: "centre" }).png().toBuffer();
-}

lib/ai/providers/alibaba-image.ts

@@ -12,7 +12,6 @@ import sharp from "sharp";
 import { constrainImageDimensions } from "@/lib/ai/image-size-constraints";
 import { isAlibabaImageTextToImageModelId } from "@/lib/ai/model-classification";
 import { buildReferenceImageOrderPrompt } from "@/lib/ai/providers/reference-image-order";
-import { ImageReferenceReadTimeoutError } from "@/lib/ai/runtime/image-generation-error";
 import { createDeferredUploadedImage } from "@/lib/storage/image-archive";
 import { uploadFile } from "@/lib/storage/service";
 import { normalizeLegacyAliyunStorageUrl } from "@/lib/storage/retired-storage";
@@ -166,7 +165,7 @@ async function fetchImageBufferWithRetry(
     }
   }
 
-  throw lastError ?? new Error("下载图片失败");
+  throw lastError instanceof Error ? lastError : new Error(String(lastError || "下载图片失败"));
 }
 
 function calculateAlibabaSizeByAspect(aspectValue: number, baseSize: number): string {
@@ -290,20 +289,12 @@ async function prepareAlibabaInputImageUrl(
   imageUrl: string,
   modelId: string,
   inputRole?: AlibabaImageInputRole,
-  original?: Buffer,
 ): Promise<string> {
   const normalizedUrl = String(imageUrl || "").trim();
   if (!/^https?:\/\//i.test(normalizedUrl)) return normalizedUrl;
 
   const maxInputBytes = getAlibabaMaxInputBytes(modelId);
-  const { buffer, contentType } = original
+  const { buffer, contentType } = await fetchImageBufferWithRetry(normalizedUrl);
-    ? { buffer: original, contentType: null }
-    : await fetchImageBufferWithRetry(normalizedUrl).catch((error) => {
-        if (["AbortError", "TimeoutError"].includes(error?.name)) {
-          throw new ImageReferenceReadTimeoutError();
-        }
-        throw error;
-      });
   let metadata: sharp.Metadata;
   try {
     metadata = await sharp(buffer, { failOn: "none" }).metadata();
@@ -570,7 +561,7 @@ async function sendAlibabaImageAsyncRequest(params: {
     url: params.requestURL,
   });
   const taskId = String(submitted.output?.task_id || "").trim();
-  if (!taskId) throw new Error("阿里图片异步任务未返回 task_id，结果尚未确认");
+  if (!taskId) throw new Error("阿里图片异步任务未返回 task_id");
 
   const taskURL = resolveAlibabaImageTaskEndpoint(params.requestURL, taskId);
   const startedAt = Date.now();
@@ -594,7 +585,7 @@ async function sendAlibabaImageAsyncRequest(params: {
         console.log("[Alibaba Image] Async task completed:", taskId);
         return task;
       }
-      if (["FAILED", "CANCELED"].includes(taskStatus)) {
+      if (["FAILED", "CANCELED", "UNKNOWN"].includes(taskStatus)) {
         const reason = task.output?.message || task.message || `阿里图片任务${taskStatus || "失败"}`;
         const code = task.output?.code || task.code;
         throw new AlibabaImageTerminalTaskError(
@@ -610,7 +601,7 @@ async function sendAlibabaImageAsyncRequest(params: {
         error.status < 500 &&
         ![408, 425, 429].includes(error.status)
       ) {
-        throw new Error(`阿里图片任务已提交，结果尚未确认（task_id: ${taskId}）`, { cause: error });
+        throw error;
       }
       lastPollError = error;
       console.warn("[Alibaba Image] Async task poll failed; retrying:", {
@@ -732,7 +723,6 @@ export function createAlibabaImage({ apiKey, baseURL }: AlibabaImageConfig) {
       doGenerate: async (options: {
         messages: Array<{ role: string; content: string | Array<{ type: string; text?: string; image?: string }> }>;
         imageParams?: AlibabaImageParams & { aspectRatio?: string; imageSize?: string; imageCount?: number };
-        referenceImageBuffers?: ReadonlyMap<string, Buffer>;
         modelDisplayName?: string; // 🆕 模型显示名称，用于错误提示
         overrideModelId?: string; // 🆕 备用模型 ID
       }) => {
@@ -808,7 +798,6 @@ export function createAlibabaImage({ apiKey, baseURL }: AlibabaImageConfig) {
                 imageUrl,
                 activeModelId,
                 options.imageParams?.inputImageRoleByUrl?.[imageUrl],
-                options.referenceImageBuffers?.get(imageUrl),
               ),
             ),
           );
@@ -949,9 +938,7 @@ export function createAlibabaImage({ apiKey, baseURL }: AlibabaImageConfig) {
           );
           
           // 处理响应
-          const images = await processResponse(response).catch((error) => {
+          const images = await processResponse(response);
-            throw new Error("阿里图片任务已提交，结果尚未确认。", { cause: error });
-          });
           const markdownText = formatImageResponse(images, params.size, imageSize);
           
           console.log(`[Alibaba Image] Generated ${images.length} images successfully`);

lib/ai/providers/vip98k.ts

@@ -99,7 +99,6 @@ const DEFAULT_POLL_INTERVAL_SECONDS = 8;
 const DEFAULT_MAX_POLL_SECONDS = 600;
 const REFERENCE_DOWNLOAD_ATTEMPTS = 3;
 const REFERENCE_DOWNLOAD_TIMEOUT_MS = 120_000;
-const REFERENCE_CDN_TIMEOUT_MS = 10_000;
 const REFERENCE_CACHE_LOOKUP_TIMEOUT_MS = 15_000;
 const MAX_REFERENCE_DOWNLOAD_BYTES = IMAGE_UPLOAD_MAX_BYTES;
 const REFERENCE_STAGING_CACHE_MS = 60_000;
@@ -683,26 +682,25 @@ async function findStagedReference(
   }
 }
 
-async function fetchReferenceImage(mediaUrl: string, preferCdn = false) {
+async function downloadReferenceImage(mediaUrl: string) {
+  let lastError: unknown;
+  for (let attempt = 1; attempt <= REFERENCE_DOWNLOAD_ATTEMPTS; attempt += 1) {
+    try {
       const response = await fetch(mediaUrl, {
-    cache: preferCdn ? "default" : "no-store",
+        cache: "no-store",
-    redirect: preferCdn ? "error" : "follow",
+        redirect: "follow",
         headers: { "User-Agent": "yedir-ai-vip98k-staging/1.0" },
-    signal: AbortSignal.timeout(preferCdn ? REFERENCE_CDN_TIMEOUT_MS : REFERENCE_DOWNLOAD_TIMEOUT_MS),
+        signal: AbortSignal.timeout(REFERENCE_DOWNLOAD_TIMEOUT_MS),
       });
-  if (!response.ok || (preferCdn && response.status !== 200)) {
+      if (!response.ok) {
-    await response.body?.cancel();
         throw new Error(`source returned HTTP ${response.status}`);
       }
 
-  const mimeType = response.headers.get("content-type") || "image/png";
-  if (preferCdn && !/^image\//i.test(mimeType) && !/^application\/octet-stream\b/i.test(mimeType)) {
-    await response.body?.cancel();
-    throw new Error("CDN response was not an image");
-  }
       const declaredLength = Number(response.headers.get("content-length"));
-  if (declaredLength > MAX_REFERENCE_DOWNLOAD_BYTES) {
+      if (
-    await response.body?.cancel();
+        Number.isFinite(declaredLength) &&
+        declaredLength > MAX_REFERENCE_DOWNLOAD_BYTES
+      ) {
         throw new Vip98kReferenceTooLargeError();
       }
 
@@ -710,17 +708,17 @@ async function fetchReferenceImage(mediaUrl: string, preferCdn = false) {
       if (buffer.byteLength > MAX_REFERENCE_DOWNLOAD_BYTES) {
         throw new Vip98kReferenceTooLargeError();
       }
-  if ((declaredLength > 0 && buffer.byteLength !== declaredLength) || (preferCdn && !buffer.byteLength)) {
+      if (
+        Number.isFinite(declaredLength) &&
+        declaredLength > 0 &&
+        buffer.byteLength !== declaredLength
+      ) {
         throw new Error("source image download was incomplete");
       }
-  return { buffer, mimeType };
+      return {
-}
+        buffer,
-
+        mimeType: response.headers.get("content-type") || "image/png",
-async function downloadReferenceImage(mediaUrl: string) {
+      };
-  let lastError: unknown;
-  for (let attempt = 1; attempt <= REFERENCE_DOWNLOAD_ATTEMPTS; attempt += 1) {
-    try {
-      return await fetchReferenceImage(mediaUrl);
     } catch (error) {
       lastError = error;
       if (error instanceof Vip98kReferenceTooLargeError) throw error;
@@ -740,22 +738,6 @@ async function downloadReferenceImage(mediaUrl: string) {
   );
 }
 
-async function downloadReferenceImageFromCdn(mediaUrl: string, stagingConfig: ReferenceStagingConfig) {
-  if (stagingConfig.storageConfig.provider !== "qiniu-kodo") return null;
-  const cdnUrl = process.env.NEXT_PUBLIC_CANVAS_CDN_ORIGIN || "";
-  if (!URL.canParse(cdnUrl) || !getStorageObjectKeyFromPublicUrl(mediaUrl, stagingConfig.sourcePublicUrl)) return null;
-  const source = new URL(mediaUrl);
-  if (source.origin !== new URL(cdnUrl).origin || source.search || source.username || source.password) return null;
-
-  try {
-    return await fetchReferenceImage(mediaUrl, true);
-  } catch (error) {
-    if (error instanceof Vip98kReferenceTooLargeError) throw error;
-    logger.warn("reference CDN download failed; trying source storage", { sourceHost: source.hostname });
-    return null;
-  }
-}
-
 async function downloadReferenceImageFromStorage(
   mediaUrl: string,
   stagingConfig: ReferenceStagingConfig,
@@ -870,10 +852,9 @@ async function stageReferenceImage(
   }
 
   const downloadStartedAt = Date.now();
-  const cdn = await downloadReferenceImageFromCdn(mediaUrl, stagingConfig);
-  const storage = cdn ? null : await downloadReferenceImageFromStorage(mediaUrl, stagingConfig);
   const downloaded =
-    cdn || storage || (await downloadReferenceImage(mediaUrl));
+    (await downloadReferenceImageFromStorage(mediaUrl, stagingConfig)) ||
+    (await downloadReferenceImage(mediaUrl));
   const downloadMs = Date.now() - downloadStartedAt;
   const normalizeStartedAt = Date.now();
   const normalized = await normalizeReferenceImage(
@@ -891,7 +872,6 @@ async function stageReferenceImage(
   cacheStagedReference(cacheKey, uploadedUrl, runtimeConfig);
   logger.info("reference image staged", {
     sourceHost: getUrlHost(mediaUrl),
-    sourceDelivery: cdn ? "cdn" : storage ? "storage" : "public-url",
     targetHost: getUrlHost(uploadedUrl),
     sourceBytes: downloaded.buffer.byteLength,
     stagedBytes: normalized.buffer.byteLength,
@@ -1666,16 +1646,6 @@ export function buildTaskBody(params: Vip98kTaskParams, invocation: Vip98kInvoca
   }
   if (params.modelId.toLowerCase() === "image-expansion") {
     bindVip98kExpansionParams(body, imageParams);
-    body.output_format = "png";
-  }
-  if (params.kind === "image-tool" && params.modelId.toLowerCase() === "ocr") {
-    // Old synced examples include generic image fields and both language aliases.
-    const metadata = toRecord(body.metadata);
-    const language = String(metadata?.language || body.language || "").trim();
-    body.metadata = { language: language || "English,ChinesePRC,Digits" };
-    body.output_format = "txt";
-    delete body.language;
-    delete body.size;
   }
   const imageBindingKeys = bindVip98kImages(body, params.imageUrls);
   if (params.imageUrls.length > 0 && !invocation && imageBindingKeys.length === 0) {

lib/ai/rmbg/service.ts

@@ -8,7 +8,6 @@ import { executeConfiguredVip98kTask } from "@/lib/ai/vip98k-runtime";
 import { db } from "@/lib/db";
 import { generatedImage } from "@/lib/db/schema";
 import { createLogger } from "@/lib/observability/logger";
-import { trackRuntimeWork } from "@/lib/observability/active-work";
 import { uploadFile } from "@/lib/storage/service";
 
 const logger = createLogger("rmbg-service");
@@ -37,8 +36,6 @@ export type ExecuteRmbgJobParams = {
   chatId?: string | null;
   messageId?: string | null;
   skipGallerySave?: boolean;
-  // 仅当 imageBuffer 与 URL 对应的输入文件一致时提供。
-  inputImageUrl?: string | null;
   sourceImageUrl?: string | null;
 };
 
@@ -65,11 +62,7 @@ export class RmbgServiceError extends Error {
 }
 
 const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
-// https://picwish.cn/background-removal-api-doc
 const AOS_MAX_RESOLUTION = 4096;
-const AOS_MAX_INPUT_BYTES = 50 * 1024 * 1024;
-// The shared AOS state -5 documents a separate limit for image_url downloads.
-const AOS_MAX_URL_INPUT_BYTES = 30 * 1024 * 1024;
 const AOS_CREATE_TIMEOUT_MS = 120_000;
 const AOS_POLL_TIMEOUT_MS = 60_000;
 const AOS_DOWNLOAD_TIMEOUT_MS = 60_000;
@@ -155,18 +148,6 @@ const withTimeout = async <T,>(
   }
 };
 
-async function readAosResult<T>(read: (signal: AbortSignal) => Promise<T>, timeoutMs: number): Promise<T> {
-  for (let attempt = 0; ; attempt++) {
-    try {
-      return await withTimeout(read, timeoutMs);
-    } catch (error) {
-      const name = error instanceof Error ? error.name : "";
-      if (attempt >= 2 || (name !== "TypeError" && name !== "AbortError")) throw error;
-      await sleep(1000 * (attempt + 1));
-    }
-  }
-}
-
 function getAosFriendlyErrorMessage(detail: string): string | null {
   const resolutionMatch = detail.match(/resolution excess,\s*width=(\d+),\s*height=(\d+)/i);
   if (resolutionMatch) {
@@ -183,43 +164,53 @@ function getAosFriendlyErrorMessage(detail: string): string | null {
 
 async function prepareImageForAos(
   imageBuffer: Buffer
-): Promise<{ buffer: Buffer; mimeType: string; filename: string }> {
+): Promise<{ buffer: Buffer; mimeType: string; filename: string; resized: boolean }> {
-  if (imageBuffer.length > AOS_MAX_INPUT_BYTES) {
-    throw new RmbgServiceError(
-      `抠图参考图文件大小超限（${(imageBuffer.length / 1024 / 1024).toFixed(2)} MB），当前 AOS 上游最大支持 50 MB。`,
-      400
-    );
-  }
-
-  let metadata: import("sharp").Metadata;
   try {
     const sharp = await import("sharp");
-    metadata = await sharp.default(imageBuffer, { limitInputPixels: false }).metadata();
+    const image = sharp.default(imageBuffer);
-  } catch (error) {
+    const metadata = await image.metadata();
-    // AOS also accepts BMP/RAW/RGB formats that Sharp cannot identify.
+    const width = metadata.width;
-    logger.warn("aos_image_metadata_unavailable", error);
+    const height = metadata.height;
-    return { buffer: imageBuffer, mimeType: "application/octet-stream", filename: "image" };
+    const format = (metadata.format || "png").toLowerCase();
-  }
 
-  const { width, height } = metadata;
-  if (width && height && (width > AOS_MAX_RESOLUTION || height > AOS_MAX_RESOLUTION)) {
-    throw new RmbgServiceError(
-      `抠图参考图分辨率超限（${width}×${height} 像素），当前 AOS 上游要求宽、高均不超过 ${AOS_MAX_RESOLUTION} 像素。`,
-      400
-    );
-  }
-
-  const format = metadata.format || "";
-  if (["gif", "svg", "heif", "avif", "jp2", "jxl"].includes(format)) {
-    const name = format === "heif" ? "HEIF/AVIF" : format.toUpperCase();
-    throw new RmbgServiceError(`抠图参考图格式不支持（${name}），当前 AOS 上游不支持此格式。`, 400);
-  }
     const ext = format === "jpeg" ? "jpg" : format;
+    const filenameExt =
+      ext === "jpg" || ext === "png" || ext === "webp" || ext === "tiff" ? ext : "png";
+    const mimeType =
+      ext === "jpg"
+        ? "image/jpeg"
+        : ext === "webp"
+          ? "image/webp"
+          : ext === "tiff"
+            ? "image/tiff"
+            : "image/png";
+
+    if (!width || !height || (width <= AOS_MAX_RESOLUTION && height <= AOS_MAX_RESOLUTION)) {
       return {
         buffer: imageBuffer,
-    mimeType: format ? `image/${format}` : "application/octet-stream",
+        mimeType,
-    filename: ext ? `image.${ext}` : "image",
+        filename: `image.${filenameExt}`,
+        resized: false,
       };
+    }
+
+    const resizedBuffer = await image
+      .resize(AOS_MAX_RESOLUTION, AOS_MAX_RESOLUTION, {
+        fit: "inside",
+        withoutEnlargement: true,
+      })
+      .toBuffer();
+
+    return {
+      buffer: resizedBuffer,
+      mimeType,
+      filename: `image.${filenameExt}`,
+      resized: true,
+    };
+  } catch (error) {
+    logger.warn("aos_image_preprocess_failed", error);
+    return { buffer: imageBuffer, mimeType: "image/png", filename: "image.png", resized: true };
+  }
 }
 
 async function processWithRMBG(
@@ -381,7 +372,7 @@ async function processWithAosSegmentation(
     foregroundType?: "" | "person" | "object" | "stamp";
     crop?: 0 | 1;
     format?: "png" | "jpg";
-    inputImageUrl?: string | null;
+    sourceImageUrl?: string | null;
     requestId?: string;
   }
 ): Promise<{ success: boolean; imageBuffer?: Buffer; processing_time?: number; error?: string }> {
@@ -391,14 +382,14 @@ async function processWithAosSegmentation(
   const headers = { "X-API-KEY": config.apiKey };
   let stage = "create";
   let providerTaskId: string | undefined;
-  const sourceImage = await prepareImageForAos(imageBuffer);
 
   try {
+    const normalizedImage = await prepareImageForAos(imageBuffer);
     const createForm = new FormData();
     let publicSourceUrl: string | null = null;
-    if (config.inputImageUrl && imageBuffer.length <= AOS_MAX_URL_INPUT_BYTES) {
+    if (!normalizedImage.resized && config.sourceImageUrl) {
       try {
-        const source = new URL(config.inputImageUrl);
+        const source = new URL(config.sourceImageUrl);
         const cdn = new URL(process.env.NEXT_PUBLIC_CANVAS_CDN_ORIGIN || "");
         if (["http:", "https:"].includes(source.protocol) && source.hostname === cdn.hostname) {
           publicSourceUrl = source.toString();
@@ -408,10 +399,10 @@ async function processWithAosSegmentation(
     if (publicSourceUrl) {
       createForm.append("image_url", publicSourceUrl);
     } else {
-      const imageBlob = new Blob([new Uint8Array(sourceImage.buffer)], {
+      const imageBlob = new Blob([new Uint8Array(normalizedImage.buffer)], {
-        type: sourceImage.mimeType,
+        type: normalizedImage.mimeType,
       });
-      createForm.append("image_file", imageBlob, sourceImage.filename);
+      createForm.append("image_file", imageBlob, normalizedImage.filename);
     }
     createForm.append("sync", "0");
     createForm.append("return_type", "1");
@@ -423,7 +414,7 @@ async function processWithAosSegmentation(
     }
 
     const createStartedAt = Date.now();
-    logger.info("aos_task_create_started", { requestId: config.requestId, sourceMode: publicSourceUrl ? "url" : "file", inputBytes: imageBuffer.length, uploadBytes: publicSourceUrl ? 0 : sourceImage.buffer.length });
+    logger.info("aos_task_create_started", { requestId: config.requestId, sourceMode: publicSourceUrl ? "url" : "file", inputBytes: imageBuffer.length, uploadBytes: publicSourceUrl ? 0 : normalizedImage.buffer.length });
 
     const createResponse = await withTimeout(
       (signal) =>
@@ -444,7 +435,7 @@ async function processWithAosSegmentation(
       });
       return {
         success: false,
-        error: `AOS任务创建失败（HTTP ${createResponse.status}）: ${createPayload?.message || createResponse.statusText}`,
+        error: `AOS任务创建失败: ${createPayload?.message || createResponse.statusText}`,
       };
     }
 
@@ -458,23 +449,17 @@ async function processWithAosSegmentation(
       await sleep(1000);
       stage = "poll";
 
-      const pollResponse = await readAosResult(
+      const pollResponse = await withTimeout(
-        async (signal) => {
+        (signal) =>
-          const response = await fetch(taskUrl, {
+          fetch(taskUrl, {
             method: "GET",
             headers,
             signal,
-          });
+          }),
-          const payload = await response.json().catch((error) => {
-            if (error instanceof Error && error.name !== "SyntaxError") throw error;
-            return null;
-          });
-          return { ok: response.ok, status: response.status, statusText: response.statusText, payload };
-        },
         AOS_POLL_TIMEOUT_MS
       );
 
-      const pollPayload = pollResponse.payload;
+      const pollPayload = await pollResponse.json().catch(() => null);
       if (!pollResponse.ok || !pollPayload?.data) {
         logger.warn("aos_task_poll_failed", {
           hasPayload: pollPayload != null,
@@ -482,7 +467,7 @@ async function processWithAosSegmentation(
         });
         return {
           success: false,
-          error: `AOS任务查询失败（HTTP ${pollResponse.status}，任务 ${taskId}）: ${pollPayload?.message || pollResponse.statusText}`,
+          error: `AOS任务查询失败: ${pollPayload?.message || pollResponse.statusText}`,
         };
       }
 
@@ -497,14 +482,12 @@ async function processWithAosSegmentation(
           taskId,
         });
         stage = "download";
-        const imageResponse = await readAosResult(
+        const imageResponse = await withTimeout(
-          async (signal) => {
+          (signal) =>
-            const response = await fetch(imageUrl, {
+            fetch(imageUrl, {
               method: "GET",
               signal,
-            });
+            }),
-            return { ok: response.ok, status: response.status, statusText: response.statusText, buffer: response.ok ? Buffer.from(await response.arrayBuffer()) : null };
-          },
           AOS_DOWNLOAD_TIMEOUT_MS
         );
 
@@ -515,11 +498,11 @@ async function processWithAosSegmentation(
           });
           return {
             success: false,
-            error: `AOS结果下载失败（HTTP ${imageResponse.status}，任务 ${taskId}）: ${imageResponse.statusText}`,
+            error: `AOS结果下载失败: ${imageResponse.status} ${imageResponse.statusText}`,
           };
         }
 
-        const resultBuffer = imageResponse.buffer!;
+        const resultBuffer = Buffer.from(await imageResponse.arrayBuffer());
         return {
           success: true,
           imageBuffer: resultBuffer,
@@ -535,13 +518,13 @@ async function processWithAosSegmentation(
         });
         return {
           success: false,
-          error: `AOS任务失败（状态 ${state}，任务 ${taskId}）: ${errMessage || stateDetail || pollPayload?.message || "未提供详情"}`,
+          error: `AOS任务失败: ${errMessage || stateDetail || pollPayload?.message || "状态异常"}`,
         };
       }
     }
 
-    logger.warn("aos_task_timeout", { requestId: config.requestId, taskId, maxPollCount });
+    logger.warn("aos_task_timeout", { maxPollCount });
-    return { success: false, error: `AOS查询任务超时，结果尚未确认（任务 ${taskId}）` };
+    return { success: false, error: "AOS任务超时（最多60秒）" };
   } catch (error) {
     if (error instanceof Error && error.name === "AbortError") {
       logger.warn("aos_request_timeout", { requestId: config.requestId, stage, taskId: providerTaskId, inputBytes: imageBuffer.length });
@@ -552,13 +535,8 @@ async function processWithAosSegmentation(
           : `AOS结果下载超时，任务已完成（任务 ${providerTaskId}）`;
       return { success: false, error: message };
     }
-    logger.warn("aos_provider_request_error", error, { requestId: config.requestId, stage, taskId: providerTaskId });
+    logger.warn("aos_provider_request_error", error);
-    const detail = error instanceof Error ? error.message : "未知错误";
+    return { success: false, error: error instanceof Error ? error.message : "未知错误" };
-    return { success: false, error: stage === "create"
-      ? `AOS创建任务连接失败，结果尚未确认：${detail}`
-      : stage === "poll"
-        ? `AOS查询任务连接失败，结果尚未确认（任务 ${providerTaskId}）：${detail}`
-        : `AOS结果下载连接失败，任务已完成（任务 ${providerTaskId}）：${detail}` };
   }
 }
 
@@ -655,15 +633,9 @@ export async function fetchImageBufferFromUrl(imageUrl: string): Promise<Buffer>
 
 export async function executeRmbgJob(
   params: ExecuteRmbgJobParams
-): Promise<ExecuteRmbgJobResult> {
-  return trackRuntimeWork(() => runRmbgJob(params));
-}
-
-async function runRmbgJob(
-  params: ExecuteRmbgJobParams
 ): Promise<ExecuteRmbgJobResult> {
   const {
-    requestId = crypto.randomUUID(),
+    requestId,
     userId,
     imageBuffer,
     imageBase64 = imageBuffer.toString("base64"),
@@ -672,13 +644,11 @@ async function runRmbgJob(
     chatId = null,
     messageId = null,
     skipGallerySave = false,
-    inputImageUrl = null,
     sourceImageUrl = null,
   } = params;
 
   const { provider, config } = await getValidatedRmbgConfig();
   logger.info("job_started", {
-    requestId,
     hasChatId: Boolean(chatId),
     hasMessageId: Boolean(messageId),
     hasSourceImageUrl: Boolean(sourceImageUrl),
@@ -722,7 +692,7 @@ async function runRmbgJob(
       foregroundType: foregroundType ?? config.aosForegroundType ?? "",
       crop: config.aosCrop === 1 ? 1 : 0,
       format: config.aosFormat === "jpg" ? "jpg" : "png",
-      inputImageUrl,
+      sourceImageUrl,
       requestId,
     });
 
@@ -860,7 +830,6 @@ async function runRmbgJob(
       }
 
       logger.info("job_completed", {
-        requestId,
         generatedImageId: savedImage.id,
         mediaAssetId,
         processingSeconds: Number(processingTime.toFixed(2)),
@@ -883,7 +852,6 @@ async function runRmbgJob(
   }
 
   logger.info("job_completed", {
-    requestId,
     processingSeconds: Number(processingTime.toFixed(2)),
     provider,
     savedToGallery: false,

lib/ai/runtime/agent-image-failover.ts

@@ -3,7 +3,6 @@ import { agentModelFault, type AgentModelFault } from "./agent-model-failover";
 export function agentImageFailurePolicy(error: unknown): { retry: boolean; pause: AgentModelFault | null } {
   const value = error as { message?: string; providerOutcomeUnknown?: boolean; status?: number; statusCode?: number } | null;
   const message = String(value?.message || "").toLowerCase();
-  if (value?.providerOutcomeUnknown || ["AbortError", "TimeoutError"].includes(String((error as { name?: string })?.name || ""))) return { retry: false, pause: null };
   // A submitted image job may still succeed. Retain its task and reconcile it;
   // never submit another paid job just because a poll/connection timed out.
   const unknown = value?.providerOutcomeUnknown || /request_outcome_unknown|may still be running|outcome.unknown|timed out|timeout|超时|fetch failed|econnreset|socket hang up/.test(message);

lib/ai/runtime/direct-agent-image-edit-executor.ts

@@ -516,7 +516,6 @@ export async function executeDirectAgentImageEditTool(
     const result = await executeRmbgJob({
       userId: params.userId,
       imageBuffer: sourceBuffer,
-      inputImageUrl: params.sourceImageUrl,
       prompt: params.requestTextContent || "抠图处理",
       chatId: params.chatId,
       messageId: params.messageId,

lib/ai/runtime/image-generation-error.ts

@@ -8,12 +8,6 @@ export class AgentImageGenerationError extends Error {
   constructor(message: string, readonly confirmedNoResult: boolean) { super(message); }
 }
 
-export class ImageReferenceReadTimeoutError extends AgentImageGenerationError {
-  constructor() {
-    super("提交生图前读取参考图超时，任务尚未提交，可以稍后重试。", true);
-  }
-}
-
 /** Preserve outcome evidence when replacing upstream diagnostics with safe UI text. */
 export function agentImageGenerationError(error: unknown, mode: "auto" | "pinned") {
   const rejected = error instanceof ImageSubmissionRejectedError;

lib/ai/runtime/model-health.ts

@@ -13,7 +13,7 @@ import {
   isMediaInputFailure,
   isNonProviderRequestStatus,
 } from "@/lib/ai/runtime/request-failure-classification";
-import { getRequestFailureDetails, isGatewayResponseTimeout, isProviderBalanceError, isRateLimitError } from "@/lib/request-error";
+import { isGatewayResponseTimeout, isProviderBalanceError, isRateLimitError } from "@/lib/request-error";
 
 export type AiModelHealthEventType =
   | "success"
@@ -344,12 +344,7 @@ export function classifyAiModelHealthFailure(error: unknown): {
 }
 
 export function shouldFailoverAiModelError(error: unknown) {
-  if (
+  if (error instanceof ProviderTaskUncertainError || isGatewayResponseTimeout(error)) return false;
-    error instanceof ProviderTaskUncertainError ||
-    isGatewayResponseTimeout(error) ||
-    getRequestFailureDetails(error).outcome === "unknown" ||
-    ["AbortError", "TimeoutError"].includes(String((error as { name?: string })?.name || ""))
-  ) return false;
   const classification = classifyAiModelHealthFailure(error);
   const normalized = getErrorMessage(error).toLowerCase();
   const imageProviderTaskFailed =

lib/ai/vip98k-models.ts

@@ -143,7 +143,6 @@ const IMAGE_TOOL_MODEL_IDS = new Set([
   "id-photo",
   "image-expansion",
   "image-upscaler",
-  "ocr",
   "photo-cleanup",
   "remove-background",
   "remove-object",
@@ -1042,7 +1041,6 @@ function createToolPreset(
   const inputModes = getInputModes(model);
   const outputModes = getOutputModes(model);
   const isImageTool = type === "image_tool";
-  const isOcr = modelId.toLowerCase() === "ocr";
   const toolOperation = IMAGE_TOOL_OPERATION_BY_MODEL_ID[modelId.toLowerCase()] || type;
 
   return {
@@ -1058,7 +1056,7 @@ function createToolPreset(
       kind: type.replace(/_/g, "-"),
       mediaType: isImageTool ? "image" : type === "audio" ? "audio" : "document",
       modelType: type,
-      outputType: isOcr ? "text" : outputModes[0] || (isImageTool ? "image" : "text"),
+      outputType: outputModes[0] || (isImageTool ? "image" : "text"),
       inputModes,
       outputModes,
       supportedModes: getCapabilities(model),

lib/ai/zcode-agent/task.ts

@@ -4,11 +4,9 @@ import { join } from "node:path";
 import type { NativeEvent, NativeResult } from "@/services/zcode-agent/runner.mjs";
 import { runNativeZcode } from "./native-runtime";
 import type { CanvasAgentTool } from "@/lib/ai/canvas-agent-runtime/loop";
-import { AgentToolRejectedError, publicAgentError, type AgentCallRecord, type AgentRunSnapshot, type CanvasAgentRunStatus } from "@/lib/ai/canvas-agent-runtime/protocol";
+import { AgentToolRejectedError, publicAgentError, type AgentRunSnapshot, type CanvasAgentRunStatus } from "@/lib/ai/canvas-agent-runtime/protocol";
-import { formatRequestFailure, getRequestFailureDetails } from "@/lib/request-error";
 import { isCompletedSimpleCutout } from "@/lib/ai/canvas-agent-runtime/cutout-completion";
-import { countAgentGeneratedImages, requiresCanvasInteraction } from "@/lib/ai/canvas-agent-runtime/results";
+import { requiresCanvasInteraction } from "@/lib/ai/canvas-agent-runtime/results";
-import { selectedAgentImageCount } from "@/lib/ai/canvas-agent-runtime/image-preferences";
 import { AgentImageGenerationError } from "@/lib/ai/runtime/image-generation-error";
 import { publicAssistantText } from "./assistant-output";
 
@@ -39,27 +37,6 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
     snapshot.message = message;
     await ports.checkpoint(structuredClone(snapshot), status); return status;
   }
-  function failureMessage(call: AgentCallRecord) {
-    if (call.confirmedNoResult) return `${call.error}\n\n请求编号：${ports.runId}`;
-    const details = getRequestFailureDetails(call.error || "任务结果尚未确认");
-    if (call.uncertain || call.status === "started") {
-      if (details.outcome !== "unknown") details.message += "结果尚未确认。";
-      details.outcome = "unknown";
-      details.recommendation = "请联系管理员按请求编号核对原任务结果；不要换模型、新建对话或重新提交，以免重复生成。";
-    }
-    if (!details.recommendation) details.recommendation = "请联系管理员并提供请求编号，核对该步骤的错误。";
-    return `${call.title || "创作工具"}：${formatRequestFailure(details, ports.runId)}`;
-  }
-  function imageCountReached() {
-    const count = snapshot.workspace === "video" ? undefined : selectedAgentImageCount(snapshot.imagePreferences);
-    return count !== undefined && countAgentGeneratedImages(snapshot.calls) >= count;
-  }
-  function reviewMessage(issues: string[]) {
-    const summary = `结果待核对：${issues.join("；")}`;
-    return imageCountReached()
-      ? `${summary}\n\n已保留本次生成的图片。如需再生成，请发送新指令。`
-      : summary;
-  }
   let modelError = "";
   let toolFailure = "";
   let nativeFailed = false;
@@ -67,11 +44,11 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
   const seenTextEvents = new Set<string>();
   let lastTextMessage = "";
   async function appendText(delta: string) {
-    const text = publicAssistantText(delta).slice(0, Math.max(0, 100_000 - (snapshot.assistantText?.length || 0)));
+    delta = publicAssistantText(delta).slice(0, Math.max(0, 100_000 - (snapshot.assistantText?.length || 0)));
-    if (!text) return;
+    if (!delta) return;
-    snapshot.assistantText = (snapshot.assistantText || "") + text;
+    snapshot.assistantText = (snapshot.assistantText || "") + delta;
     await ports.checkpoint(structuredClone(snapshot), "running");
-    ports.onAssistantText?.(text);
+    ports.onAssistantText?.(delta);
   }
   async function finishVerifiedCutout() {
     snapshot.nativeRuntime!.state = "stopped";
@@ -79,8 +56,8 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
     return save(verifiedCompletion, "completed");
   }
   try {
-    const unconfirmed = snapshot.calls.find(call => call.status === "started" || call.uncertain);
+    if (snapshot.calls.some(call => call.status === "started" || call.uncertain))
-    if (unconfirmed) return await save(failureMessage(unconfirmed), "needs_review");
+      return await save("存在结果未确认的工具调用，请先核对画布，避免重复生成。", "needs_review");
     snapshot.nativeRuntime = { ...snapshot.nativeRuntime, engine: "zcode", state: "starting" };
     const schemas = new Map(Object.entries(ports.definitions).map(([name, definition]) => [name, asSchema(definition.inputSchema!)]));
     const toolDescriptors = Object.entries(ports.tools).map(([name, entry]) => ({ name,
@@ -95,7 +72,6 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
       `可用业务工具：${tools.join("、")}。工具名称带 mcp__canvas__ 前缀。`,
       "原生文件、Bash、记忆及子任务能力仅作用于此任务的私有工作区，不能通过 shell 直接访问模型服务商或本站后台；业务操作使用 MCP。",
       "用户只要求生图或改图时，把结果写入画布并验收即可。除非用户明确要求下载或导出，不要主动调用 image_download，也不要为收尾打开交互面板。",
-      "用户设置的生成张数是本次任务的总数，包括验收未通过的已生成图片。达到张数后，保留结果并说明问题；如需再次生成，等待用户发送新指令。",
       "用户指定的生图模型被明确拒绝时，停止本轮收费操作，询问用户希望切换生图模型还是稍后重试。切换需用户确认并更新模型选择；结果未知的超时必须先核对原任务，不可直接换模型重发。不要为普通图片编辑调用 appearance.post 或其他无关业务接口。",
       "imagePreferences 是用户在输入框选择的生图模型和图片参数，与当前规划模型不同。生成和编辑图片优先用 generateCanvasImages；用户选定的模型不得被技能默认值、你选的其他模型或重试覆盖。自动选择生图模型时，图片工具内部会在明确失败后切换备用模型并补齐结果，不要自行重放付费操作；用户明确指定模型时禁止故障切换。比例、尺寸、数量、反向提示词等控件必须传入；不要通过其他生成接口绕过用户选择。分析、问答、排版等不需要出图的任务无需生成图片。",
       "转正面、换角度、旋转主体视角时，直接用 generateCanvasImages，referenceNodeIds 指向要编辑的真实图片，提示词描述目标视角并保留产品结构和未要求修改的细节。旧多视角功能、angleEditImage 和 image.multi_angle 已废弃，即使历史对话用过也不得再调用或打开旧面板。",
@@ -135,7 +111,6 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
           await save("正在准备处理任务");
         }),
         onEvent: async (event: NativeEvent | NativeResult) => {
-          if (attemptController.signal.aborted) return;
           if (event.type === "model.streaming" && event.payload?.kind === "text_delta" && typeof event.payload.delta === "string") {
             // Child sessions and reasoning/tool-argument deltas are private.
             if (snapshot.nativeRuntime?.sessionId && event.sessionId !== snapshot.nativeRuntime.sessionId) return;
@@ -180,11 +155,9 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
             if (!entry.readOnly && !snapshot.calls.some(call => call.name === "planCanvasTask" && call.status === "succeeded"))
               throw new Error("请先制定任务计划再执行画布修改");
             if (!entry.readOnly && snapshot.verification?.retryable && snapshot.verification.failedNodeIds?.length) {
-              const targets = [input.nodeId, ...(Array.isArray(input.nodeIds) ? input.nodeIds : [])]
+              const targets = [input.nodeId, ...(Array.isArray(input.nodeIds) ? input.nodeIds : []),
-                .filter((id): id is string => typeof id === "string");
+                ...(Array.isArray(input.referenceNodeIds) ? input.referenceNodeIds : [])].filter((id): id is string => typeof id === "string");
-              const references = Array.isArray(input.referenceNodeIds) ? input.referenceNodeIds : [];
+              if (!targets.length || targets.some(id => !snapshot.verification!.failedNodeIds!.includes(id)))
-              const failedIds = snapshot.verification.failedNodeIds;
-              if (targets.length ? targets.some(id => !failedIds.includes(id)) : !references.some(id => failedIds.includes(String(id))))
                 throw new Error("修复只能处理未通过验收的节点，禁止重复生成已通过的结果");
             }
             snapshot.calls.push({ id: callId, name, title: entry.title, input, status: "started" });
@@ -232,9 +205,8 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
               call.status = "failed"; call.error = publicAgentError(error); call.rejected = error instanceof AgentToolRejectedError;
               call.confirmedNoResult = error instanceof AgentImageGenerationError && error.confirmedNoResult;
               call.uncertain = !entry.readOnly && !call.rejected && !call.confirmedNoResult;
-              if (call.uncertain || call.confirmedNoResult) toolFailure = failureMessage(call);
+              if (call.confirmedNoResult) toolFailure = call.error;
-              await save(toolFailure || call.error);
+              await save(call.error);
-              if (call.uncertain || call.confirmedNoResult) attemptController.abort();
             });
             throw error;
           }
@@ -256,15 +228,15 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
       if (toolFailure) return await save(toolFailure, "needs_review");
       // A failed read is not an uncertain paid operation. Independently verify
       // actual outputs below instead of failing a task because an earlier read timed out.
-      const failedWrite = snapshot.calls.find(call => (call.status === "failed" && !call.rejected && !call.confirmedNoResult && !ports.tools[call.name]?.readOnly) || call.uncertain);
+      if (snapshot.calls.some(call => (call.status === "failed" && !call.rejected && !call.confirmedNoResult && !ports.tools[call.name]?.readOnly) || call.uncertain))
-      if (failedWrite) return await save(failureMessage(failedWrite), "needs_review");
+        return await save("部分工具结果待确认，已保留执行记录，请核对后继续。", "needs_review");
-      const unresolvedRead = snapshot.calls.find((call, index) => call.status === "failed" && !call.rejected && ports.tools[call.name]?.readOnly &&
+      const unresolvedRead = snapshot.calls.some((call, index) => call.status === "failed" && !call.rejected && ports.tools[call.name]?.readOnly &&
         !snapshot.calls.slice(index + 1).some(later => later.name === call.name && later.status === "succeeded" &&
           JSON.stringify(later.input) === JSON.stringify(call.input)));
       // Without a real result to independently inspect, a viewport/UI action
       // cannot turn a failed analysis into a completed task.
       if (unresolvedRead && !snapshot.resultNodeIds.length)
-        return await save(failureMessage(unresolvedRead), "needs_review");
+        return await save("图片或资料暂未读取成功，已保留记录，请稍后继续核对。", "needs_review");
       if (question || snapshot.calls.some(call => requiresCanvasInteraction(snapshot, call)))
         return await save(question || "请在已打开的工具面板中完成操作，然后继续任务。", "needs_review");
       const supplements = snapshot.inputs.filter(input => !startedInputs.has(input.id));
@@ -289,12 +261,12 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
       const verification = await ports.verify(reviewSnapshot); snapshot.verification = verification;
       snapshot.inputTokens = reviewSnapshot.inputTokens; snapshot.outputTokens = reviewSnapshot.outputTokens;
       if (verification.passed) return await save(result.response || "任务完成，结果已写入画布。", "completed");
-      if (verification.retryable && snapshot.repairs < 2 && !imageCountReached()) {
+      if (verification.retryable && snapshot.repairs < 2) {
         snapshot.repairs++;
         prompt = `验收需要定点修复：${JSON.stringify(verification)}。只处理失败结果，禁止整批重新生成；保留所有通过结果。`;
         continue;
       }
-      return await save(reviewMessage(verification.issues), "needs_review");
+      return await save(`结果待核对：${verification.issues.join("；")}`, "needs_review");
     }
   } catch (error) {
     if (snapshot.nativeRuntime) snapshot.nativeRuntime.state = "stopped";
@@ -318,7 +290,7 @@ export async function runZcodeCanvasTask(ports: Ports): Promise<CanvasAgentRunSt
         if (control.cancelled || ports.signal.aborted) return await save("已停止后续步骤，完成的结果保留在画布。", "cancelled");
         if (inputs !== JSON.stringify(snapshot.inputs)) return await save("已收到新的补充要求，图片已保留，请继续处理。", "needs_review");
         return await save(verification.passed ? "图片已完成并通过检查，结果已保留在画布。"
-          : `图片已返回画布，${reviewMessage(verification.issues)}`, verification.passed ? "completed" : "needs_review");
+          : `图片已返回画布，结果待核对：${verification.issues.join("；")}`, verification.passed ? "completed" : "needs_review");
       } catch { /* Keep the original interruption if independent inspection also fails. */ }
     }
     return await save(cancelled ? "已停止后续步骤，完成的结果保留在画布。" : toolFailure || modelError || publicAgentError(error), cancelled ? "cancelled" : "needs_review");

lib/canvas/capabilities/headless-executor.ts

@@ -1,16 +1,16 @@
-import { executeBoxCutoutJob } from "@/lib/ai/box-cutout/service";
+import {
+  executeBoxCutoutJob,
+} from "@/lib/ai/box-cutout/service";
 import { executeExtendJob } from "@/lib/ai/extend/service";
 import { executeLayerSplitJob } from "@/lib/ai/layer-split/service";
 import { executeResizeJob } from "@/lib/ai/resize/service";
 import {
   executeRmbgJob,
   fetchImageBufferFromUrl,
-  RmbgServiceError,
 } from "@/lib/ai/rmbg/service";
 import type { CanvasCapabilityClientCommand } from "@/lib/canvas/capabilities/client-command";
 import type { CanvasCapabilityTarget } from "@/lib/canvas/capabilities/context";
 import { resolveCanvasRuntimeEndpoint } from "@/lib/canvas/capabilities/internal-endpoint";
-import { executeBoxCutoutPOST } from "@/lib/canvas/operations/box-cutout";
 import { generateCanvasImage } from "@/lib/canvas/generate-image";
 import { requestLongTaskResult } from "@/lib/client/long-task";
 import {
@@ -131,7 +131,6 @@ async function executeForTarget(
       requestId: command.requestId,
       userId: params.userId,
       imageBuffer,
-      inputImageUrl: target.sourceImageUrl,
       sourceImageUrl: target.sourceImageUrl,
       prompt: prompt || "抠图处理",
       skipGallerySave: false,
@@ -187,7 +186,8 @@ async function executeForTarget(
   }
 
   if (command.capabilityId === "image.box_cutout") {
-    const job = {
+    const result = await executeBoxCutoutJob({
+      userId: params.userId,
       imageUrl: target.sourceImageUrl,
       sourceNodeId: target.nodeId,
       cropRect: {
@@ -198,30 +198,13 @@ async function executeForTarget(
       },
       paddingRatio: asFiniteNumber(command.args.paddingRatio),
       prompt: prompt || "框选抠图",
-    };
+    });
-    let result;
-    if (command.source === "toolbar") {
-      const response = await executeBoxCutoutPOST(new Request(params.requestUrl, {
-        method: "POST",
-        headers: { "Content-Type": "application/json", "X-Request-ID": command.requestId },
-        body: JSON.stringify(job),
-      }), params.userId);
-      result = await response.json();
-      if (!response.ok || !result.success) {
-        throw new RmbgServiceError(result.detail || result.message || result.error || "框选抠图未能完成", response.status);
-      }
-    } else {
-      result = await executeBoxCutoutJob({ ...job, requestId: command.requestId, userId: params.userId });
-    }
     return [{
       ...common,
       assetId: result.mediaAssetId || undefined,
       metadata: {
-        editMode: "box-cutout",
         cropRectApplied: result.cropRectApplied,
         paddedCropRectApplied: result.paddedCropRectApplied,
-        cropRectPixels: result.cropRectPixels,
-        paddedCropRectPixels: result.paddedCropRectPixels,
       },
       title: `${target.title}-框选抠图`,
       url: result.original_url,

lib/canvas/generate-image.ts

@@ -5,7 +5,7 @@ import sharp from "sharp";
 import { agentImageCircuitStore } from "@/lib/ai/runtime/agent-model-circuit-store";
 import { getModelGenerationCreditCost, type DiscountableImageGenConfigLike } from "@/lib/ai/image-model-pricing";
 import { agentImageFailurePolicy } from "@/lib/ai/runtime/agent-image-failover";
-import { agentImageGenerationError, ImageReferenceReadTimeoutError } from "@/lib/ai/runtime/image-generation-error";
+import { agentImageGenerationError } from "@/lib/ai/runtime/image-generation-error";
 import { getAiModelById, getEnabledAiModelsWithProvider } from "@/lib/db/queries";
 import { fetchImageBufferFromUrl } from "@/lib/ai/rmbg/service";
 import { createGeminiImage } from "@/lib/ai/providers/gemini-image";
@@ -44,7 +44,7 @@ import {
 } from "@/lib/ai/runtime/model-health";
 import { uploadFile } from "@/lib/storage/service";
 import { isImageModelBalanceBlocked, resolveConfiguredImageBalanceFallback } from "@/lib/ai/runtime/image-balance";
-import { getRequestFailureDetails, isProviderBalanceError } from "@/lib/request-error";
+import { isProviderBalanceError } from "@/lib/request-error";
 import { normalizeLegacyAliyunStorageUrl } from "@/lib/storage/retired-storage";
 
 export interface CanvasLocalEditCompositeRegion {
@@ -181,7 +181,6 @@ export interface CanvasGenerateImageRequest {
   providerImageParams?: Record<string, unknown>;
   referenceImage?: string;
   referenceImages?: string[];
-  referenceImageBuffers?: ReadonlyMap<string, Buffer>;
   billingFeature?: "multi-view" | "repaint";
   requiredReferenceImageCount?: number;
   ownerKey?: string;
@@ -3444,13 +3443,11 @@ async function applyLocalEditCompositeToImages(params: {
     const [originalUpload, thumbnailUpload] = await Promise.all([
       uploadFile(
         `canvas-local-edit-composited-${suffix}.png`,
-        bufferToArrayBuffer(mergedBuffer),
+        bufferToArrayBuffer(mergedBuffer)
-        { preferQiniuForm: true }
       ),
       uploadFile(
         `canvas-local-edit-composited-thumb-${suffix}.png`,
-        bufferToArrayBuffer(thumbnailBuffer),
+        bufferToArrayBuffer(thumbnailBuffer)
-        { preferQiniuForm: true }
       ),
     ]);
     mergedImages.push({
@@ -5124,11 +5121,8 @@ export async function generateCanvasImage(
     });
   }
 
-  const referenceImageBuffers = provider.type === "alibaba-image" ? request.referenceImageBuffers : undefined;
+  const { kept: reachableReferenceImages, dropped: unreachableReferenceImages } =
-  const referencesToCheck = normalizedReferenceImages.filter(url => !referenceImageBuffers?.has(url));
+    await filterReachableRemoteUrls(normalizedReferenceImages, { timeoutMs: 3000 });
-  const { kept, dropped: unreachableReferenceImages } =
-    await filterReachableRemoteUrls(referencesToCheck, { timeoutMs: 3000 });
-  const reachableReferenceImages = normalizedReferenceImages.filter(url => referenceImageBuffers?.has(url) || kept.includes(url));
   const effectiveReferenceImages = selectCanvasReferenceImages({
     requested: normalizedReferenceImages, reachable: reachableReferenceImages,
     requiredCount: request.requiredReferenceImageCount,
@@ -5239,7 +5233,6 @@ export async function generateCanvasImage(
     executeGenerateBatch = async (batchImageCount) => {
       const result = await modelInstance.doGenerate({
         messages,
-        referenceImageBuffers,
         imageParams: {
           ...imageParams,
           imageCount: batchImageCount,
@@ -5669,17 +5662,8 @@ export async function generateCanvasImage(
     await slot.release();
   }
 
-  if (caughtError instanceof ImageReferenceReadTimeoutError) {
-    if (!collectedImages.length) throw caughtError;
-    return { images: collectedImages, model: selectedModel.model.displayName, modelRef: selectedModel.model.id, prompt: resultPrompt };
-  }
-
   // An accepted or uncertain request must not start another paid model/variant.
-  if (caughtError && (
+  if (caughtError instanceof ProviderTaskUncertainError) throw caughtError;
-    caughtError instanceof ProviderTaskUncertainError ||
-    getRequestFailureDetails(caughtError).outcome === "unknown" ||
-    ["AbortError", "TimeoutError"].includes(String((caughtError as { name?: string })?.name || ""))
-  )) throw caughtError;
 
   const retryVariants = Array.isArray(request.retryVariants)
     ? request.retryVariants

lib/canvas/image-generation-status.ts

@@ -1,34 +0,0 @@
-import type { RequestFailureDetails } from "@/lib/request-error";
-
-export type ImageGenerationStatusStreamPayload = {
-  phase?: "queued" | "processing" | "finalizing" | "failed" | "completed";
-  userMessageId?: string;
-  requestId?: string;
-  failure?: RequestFailureDetails;
-  providerType?: string;
-  modelName?: string;
-  imageCount?: number;
-  queuePosition?: number;
-  sameModelRunningCount?: number;
-  concurrencyLimit?: number;
-  estimatedWaitMs?: number;
-};
-
-export function findImageGenerationFailure(
-  messages: { role: string; parts?: unknown[] }[],
-  userMessageId: string,
-): ImageGenerationStatusStreamPayload | null {
-  if (!userMessageId) return null;
-  for (const message of [...messages].reverse()) {
-    if (message.role !== "assistant") continue;
-    for (const part of message.parts || []) {
-      const candidate = part as { type?: string; data?: ImageGenerationStatusStreamPayload };
-      if (candidate.type !== "data-imageGenerationStatus") continue;
-      const status = candidate.data;
-      if (status?.phase === "failed" && status.failure && status.userMessageId === userMessageId) {
-        return status;
-      }
-    }
-  }
-  return null;
-}

lib/canvas/image-preview-width.ts

@@ -1,5 +0,0 @@
-const PREVIEW_WIDTHS = [640, 960, 1280, 1600, 2048, 2600, 3200, 4096];
-
-export function canvasImagePreviewWidth(width: number, maxWidth: number) {
-  return Math.min(maxWidth, PREVIEW_WIDTHS.find(value => value >= width) || 4096);
-}

lib/canvas/operations/box-cutout.ts

@@ -1,96 +0,0 @@
-import "server-only";
-import { NextResponse } from "next/server";
-
-import {
-  BoxCutoutServiceError,
-  executeBoxCutoutJob,
-} from "@/lib/ai/box-cutout/service";
-import { RmbgServiceError } from "@/lib/ai/rmbg/service";
-import { getPointsSystemConfig } from "@/lib/db/queries";
-import { prepareFeaturePointsCharge } from "@/lib/points/feature-charge";
-import { getImageToolCreditCost } from "@/lib/points/config";
-import { formatRequestFailure, getRequestFailureDetails } from "@/lib/request-error";
-
-type BoxCutoutRequest = {
-  imageUrl?: string;
-  cropRect?: {
-    x?: number;
-    y?: number;
-    width?: number;
-    height?: number;
-  };
-  paddingRatio?: number;
-  prompt?: string;
-  chatId?: string | null;
-  messageId?: string | null;
-  skipGallerySave?: boolean;
-  sourceNodeId?: string;
-};
-
-export async function executeBoxCutoutPOST(request: Request, userId: string) {
-  const requestId = request.headers.get("x-request-id") || crypto.randomUUID();
-  try {
-    if (!userId) {
-      return NextResponse.json({ success: false, error: "未授权，请先登录" }, { status: 401 });
-    }
-
-    const body = (await request.json()) as BoxCutoutRequest;
-    const rawImageUrl = String(body.imageUrl || "").trim();
-    if (!rawImageUrl) {
-      throw new BoxCutoutServiceError("缺少原图链接，请重新选择图片后提交。", 400);
-    }
-
-    const resolvedImageUrl = new URL(rawImageUrl, request.url).toString();
-    const pointsConfig = await getPointsSystemConfig();
-    const pointsCharge = await prepareFeaturePointsCharge({
-      userId,
-      unitCost: getImageToolCreditCost(pointsConfig, "box-cutout"),
-      reason: "image_box_cutout",
-      modelId: "box-cutout",
-      note: "框选抠图消耗积分",
-      pointsConfig,
-    });
-    if (!pointsCharge.ok) {
-      return NextResponse.json(pointsCharge.payload, { status: pointsCharge.status });
-    }
-
-    const result = await executeBoxCutoutJob({
-      requestId,
-      userId,
-      imageUrl: resolvedImageUrl,
-      cropRect: body.cropRect || {},
-      paddingRatio: body.paddingRatio,
-      prompt: body.prompt || "框选抠图",
-      chatId: body.chatId || null,
-      messageId: body.messageId || null,
-      skipGallerySave: body.skipGallerySave === true,
-      sourceNodeId: body.sourceNodeId,
-    });
-
-    if (pointsCharge.chargeable) {
-      try {
-        await pointsCharge.consume();
-      } catch (pointsError) {
-        console.error("[Points] Failed to consume box cutout points:", pointsError);
-      }
-    }
-
-    return NextResponse.json({ ...result, requestId });
-  } catch (error) {
-    const failure = getRequestFailureDetails(error, "框选抠图未能完成");
-    const payload = {
-      success: false,
-      error: formatRequestFailure(failure, requestId),
-      detail: error instanceof Error ? error.message : "框选抠图未能完成",
-      code: failure.code,
-      failure,
-      requestId,
-    };
-    if (error instanceof BoxCutoutServiceError || error instanceof RmbgServiceError) {
-      return NextResponse.json(payload, { status: error.status });
-    }
-
-    console.error("[BoxCutout] 处理失败:", error);
-    return NextResponse.json(payload, { status: 500 });
-  }
-}

lib/canvas/operations/rmbg.ts

@@ -9,11 +9,9 @@ import {
 import { getPointsSystemConfig } from "@/lib/db/queries";
 import { prepareFeaturePointsCharge } from "@/lib/points/feature-charge";
 import { getImageToolCreditCost } from "@/lib/points/config";
-import { formatRequestFailure, getRequestFailureDetails } from "@/lib/request-error";
 
 
 export async function executeRemoveBackgroundPOST(request: Request, trustedUserId: string) {
-  const requestId = request.headers.get("x-request-id") || crypto.randomUUID();
   try {
     const session = { user: { id: trustedUserId } };
     if (!session?.user?.id) {
@@ -29,7 +27,6 @@ export async function executeRemoveBackgroundPOST(request: Request, trustedUserI
     let messageId: string | null = null;
     let skipGallerySave = false;
     let sourceImageUrl: string | null = null;
-    let inputImageUrl: string | null = null;
 
     if (contentType.includes("application/json")) {
       const body = await request.json();
@@ -43,7 +40,6 @@ export async function executeRemoveBackgroundPOST(request: Request, trustedUserI
 
       if (imageUrl) {
         sourceImageUrl = String(imageUrl);
-        inputImageUrl = sourceImageUrl;
         imageBuffer = await fetchImageBufferFromUrl(sourceImageUrl);
       } else if (body.image_base64) {
         imageBase64 = String(body.image_base64);
@@ -98,7 +94,6 @@ export async function executeRemoveBackgroundPOST(request: Request, trustedUserI
     }
 
     const result = await executeRmbgJob({
-      requestId,
       userId: session.user.id,
       imageBuffer,
       imageBase64,
@@ -106,7 +101,6 @@ export async function executeRemoveBackgroundPOST(request: Request, trustedUserI
       chatId,
       messageId,
       skipGallerySave,
-      inputImageUrl,
       sourceImageUrl,
     });
 
@@ -120,29 +114,22 @@ export async function executeRemoveBackgroundPOST(request: Request, trustedUserI
 
     return NextResponse.json({
       success: true,
-      requestId,
       ...result,
     });
   } catch (error) {
     if (error instanceof RmbgServiceError) {
-      const failure = getRequestFailureDetails(error);
       return NextResponse.json(
         {
-          success: false,
+          error: error.message,
-          error: formatRequestFailure(failure, requestId),
           detail: error.detail || error.message,
-          code: failure.code,
-          failure,
-          requestId,
         },
         { status: error.status }
       );
     }
 
     console.error("[RMBG API] 处理错误:", error);
-    const failure = getRequestFailureDetails(error, "抠图请求未能完成");
     return NextResponse.json(
-      { success: false, error: formatRequestFailure(failure, requestId), detail: error instanceof Error ? error.message : "未知错误", code: failure.code, failure, requestId },
+      { error: "服务器内部错误", detail: error instanceof Error ? error.message : "未知错误" },
       { status: 500 }
     );
   }

lib/canvas/photoshop-safe-download.ts

@@ -217,13 +217,9 @@ export async function convertImageToPhotoshopPng(bytes: Buffer): Promise<Buffer>
     throw new Error("无法解析图片尺寸");
   }
   // RGB/RGBA, 8-bit, single-frame PNG is already compatible; preserve its exact bytes.
-  const rgb = (metadata.space === "srgb" && metadata.depth === "uchar")
+  if (metadata.format === "png" && metadata.space === "srgb" && metadata.depth === "uchar"
-    || (metadata.space === "rgb16" && metadata.depth === "ushort");
-  if (metadata.format === "png" && rgb
       && !metadata.isPalette && (metadata.pages || 1) === 1 && (!metadata.orientation || metadata.orientation === 1)) return bytes;
-  const output = image.rotate().toColorspace("srgb");
+  return image.rotate().toColorspace("srgb").png({ compressionLevel: 3, adaptiveFiltering: true }).toBuffer();
-  if (metadata.icc) output.withIccProfile("srgb");
-  return output.png({ compressionLevel: 3, adaptiveFiltering: true }).toBuffer();
 }
 
 function buildCanvasAssetFilename(params: {

lib/canvas/scale-adjust-product-lock.ts

@@ -40,6 +40,22 @@ function clamp(value: number, min: number, max: number) {
   return Math.min(max, Math.max(min, value));
 }
 
+async function executeScaleAdjustRmbgJob(
+  params: Parameters<typeof executeRmbgJob>[0]
+) {
+  let lastError: unknown;
+  for (let attempt = 1; attempt <= 3; attempt += 1) {
+    try {
+      return await executeRmbgJob(params);
+    } catch (error) {
+      lastError = error;
+      if (attempt === 3) break;
+      await new Promise((resolve) => setTimeout(resolve, attempt * 800));
+    }
+  }
+  throw lastError;
+}
+
 function rectToPixelBox(
   rect: CanvasScaleAdjustRect,
   sourceWidth: number,
@@ -204,7 +220,7 @@ async function buildPersonExclusionAlpha(params: {
   userId: string;
 }) {
   try {
-    const person = await executeRmbgJob({
+    const person = await executeScaleAdjustRmbgJob({
       foregroundType: "person",
       imageBuffer: params.sourceBuffer,
       prompt: "比例调整人物保护蒙版",
@@ -314,7 +330,7 @@ export async function buildScaleAdjustProductLockAssets(params: {
       .png({ compressionLevel: 6 })
       .toBuffer();
     semanticSourceCropBuffers.push(cropBuffer);
-    const subject = await executeRmbgJob({
+    const subject = await executeScaleAdjustRmbgJob({
       imageBuffer: cropBuffer,
       prompt: "比例调整完整产品蒙版",
       skipGallerySave: true,

lib/client/canvas-draft.ts

@@ -1,55 +0,0 @@
-export type CanvasDraft = { base: string; snapshot: string };
-const key = (projectId: string) => `canvas-unsynced:${projectId}`;
-
-export function readCanvasDraft(projectId: string): CanvasDraft | null {
-  try {
-    const value = JSON.parse(localStorage.getItem(key(projectId)) || "null");
-    return typeof value?.base === "string" && typeof value?.snapshot === "string" ? value : null;
-  } catch {
-    return null;
-  }
-}
-
-export function writeCanvasDraft(projectId: string, draft: CanvasDraft): boolean {
-  try {
-    localStorage.setItem(key(projectId), JSON.stringify(draft));
-    return true;
-  } catch {
-    return false;
-  }
-}
-
-export function clearCanvasDraft(projectId: string) {
-  try {
-    localStorage.removeItem(key(projectId));
-  } catch {
-    // Keep the current in-memory canvas when browser storage is unavailable.
-  }
-}
-
-const composerKey = (chatId: string) => `canvas-unsent-message:${chatId}`;
-export function writeCanvasComposerDraft(chatId: string, draft: { text: string; attachments: unknown[] }) {
-  try {
-    localStorage.setItem(composerKey(chatId), JSON.stringify(draft));
-    return true;
-  } catch {
-    return false;
-  }
-}
-
-export function readCanvasComposerDraft<T>(chatId: string): { text: string; attachments: T[] } | null {
-  try {
-    const value = JSON.parse(localStorage.getItem(composerKey(chatId)) || "null");
-    return typeof value?.text === "string" && Array.isArray(value?.attachments) ? value : null;
-  } catch {
-    return null;
-  }
-}
-
-export function clearCanvasComposerDraft(chatId: string) {
-  try {
-    localStorage.removeItem(composerKey(chatId));
-  } catch {
-    // Keep the current editor contents when browser storage is unavailable.
-  }
-}

lib/client/canvas-image-download.ts

@@ -1,9 +1,8 @@
 import { buildImageProxyUrl, getImageDownloadExtension } from "@/lib/image-delivery";
 import { inferOriginalImageUrl } from "@/lib/image-url";
 import { formatDownloadFailure, getDownloadFailure, type DownloadFailure } from "@/lib/canvas/download-error";
-import { withActivePageDownload } from "@/lib/client/page-refresh";
 
-export type CanvasImageDownloadPhase = "preparing" | "converting" | "downloading" | "saving";
+export type CanvasImageDownloadPhase = "preparing" | "downloading" | "saving";
 
 export type CanvasImageDownloadProgress = {
   phase: CanvasImageDownloadPhase;
@@ -190,15 +189,8 @@ function triggerCdnDownload(result: { downloadUrl: string; filename: string; byt
   return { filename: result.filename, bytes: result.bytes || 0 };
 }
 
-const PHOTOSHOP_DOWNLOAD_EXTENSIONS = new Set(["jpg", "png", "gif", "bmp", "tiff"]);
+/** Keep the source format and bytes for chat, gallery and reference downloads. */
-
+export async function downloadOriginalImage({ url, name, signal, onProgress }: DownloadCanvasImageParams): Promise<CanvasImageDownloadResult> {
-/** Preserve compatible originals and prepare a PNG for other stored images. */
-export function downloadOriginalImage(params: DownloadCanvasImageParams): Promise<CanvasImageDownloadResult> {
-  return withActivePageDownload(() => downloadOriginalImageFile(params));
-}
-
-async function downloadOriginalImageFile(params: DownloadCanvasImageParams): Promise<CanvasImageDownloadResult> {
-  const { url, name, signal, onProgress } = params;
   const source = String(url || "").trim();
   if (!source) throw new Error("图片地址无效");
   const proxy = buildImageProxyUrl(source, { delivery: "original" });
@@ -226,11 +218,6 @@ async function downloadOriginalImageFile(params: DownloadCanvasImageParams): Pro
     const metadata = await checkedFetch(target.pathname + target.search);
     const delivery = await metadata.json();
     if (delivery.delivery === "cdn") {
-      // The resolver names the attachment using the stored MIME type.
-      const extension = delivery.filename.split(".").pop();
-      if (!PHOTOSHOP_DOWNLOAD_EXTENSIONS.has(extension)) {
-        return downloadPngFile(params, "converting");
-      }
       const result = triggerCdnDownload(delivery, signal);
       onProgress?.({ phase: "downloading", message: "已开始下载，可在浏览器下载列表查看进度" });
       return result;
@@ -238,16 +225,9 @@ async function downloadOriginalImageFile(params: DownloadCanvasImageParams): Pro
     if (delivery.delivery !== "proxy") throw new Error("下载链接无效");
   }
   const response = await checkedFetch(proxy);
-  const contentType = response.headers.get("content-type") || "";
-  if (!contentType.toLowerCase().startsWith("image/")) throw new Error("Source is not an image");
-  const extension = getImageDownloadExtension(contentType);
-  // A local blob can still be downloaded while its upload is in progress.
-  if (/^https?:$/.test(target.protocol) && !PHOTOSHOP_DOWNLOAD_EXTENSIONS.has(extension)) {
-    void response.body?.cancel().catch(() => {});
-    return downloadPngFile(params, "converting");
-  }
   const blob = await readResponseBlobWithProgress(response, onProgress);
-  signal?.throwIfAborted();
+  if (!blob.type.toLowerCase().startsWith("image/")) throw new Error("Source is not an image");
+  const extension = getImageDownloadExtension(blob.type);
   const filename = extension ? `${filenameBase}.${extension}` : filenameBase;
   triggerBlobDownload(blob, filename);
   return { filename, bytes: blob.size };
@@ -272,15 +252,14 @@ function toDownloadCandidates(url: string, candidates: string[] = []) {
 
 async function readResponseBlobWithProgress(
   response: Response,
-  onProgress?: (progress: CanvasImageDownloadProgress) => void,
+  onProgress?: (progress: CanvasImageDownloadProgress) => void
-  message = "正在下载原图..."
 ) {
   const totalBytes = Number(response.headers.get("content-length") || 0);
   if (!response.body) {
     const blob = await response.blob();
     onProgress?.({
       phase: "downloading",
-      message,
+      message: "正在下载原图...",
       loadedBytes: blob.size,
       totalBytes: totalBytes || blob.size,
       percent: 100,
@@ -300,7 +279,7 @@ async function readResponseBlobWithProgress(
     loadedBytes += value.byteLength;
     onProgress?.({
       phase: "downloading",
-      message,
+      message: "正在下载原图...",
       loadedBytes,
       totalBytes: totalBytes || undefined,
       percent: totalBytes > 0 ? Math.min(99, Math.round((loadedBytes / totalBytes) * 100)) : undefined,
@@ -312,17 +291,13 @@ async function readResponseBlobWithProgress(
   });
 }
 
-export function downloadCanvasImageAsPng(params: DownloadCanvasImageParams): Promise<CanvasImageDownloadResult> {
+export async function downloadCanvasImageAsPng({
-  return withActivePageDownload(() => downloadPngFile(params, "preparing"));
-}
-
-async function downloadPngFile({
   candidates,
   name,
   onProgress,
   signal,
   url,
-}: DownloadCanvasImageParams, preparationPhase: "preparing" | "converting"): Promise<CanvasImageDownloadResult> {
+}: DownloadCanvasImageParams): Promise<CanvasImageDownloadResult> {
   const raw = String(url || "").trim();
   if (!raw) {
     throw new Error("图片地址无效");
@@ -335,9 +310,11 @@ async function downloadPngFile({
     "canvas-image"
   );
 
-  const isConverting = preparationPhase === "converting";
+  onProgress?.({
-  const conversionMessage = "正在转换为兼容 PNG，完成后自动下载";
+    phase: "preparing",
-  onProgress?.({ phase: preparationPhase, message: isConverting ? conversionMessage : "正在准备原图..." });
+    message: "正在准备原图...",
+    percent: 8,
+  });
 
   let response: Response | null = null;
   let errorPayload: DownloadErrorPayload | null = null;
@@ -376,10 +353,7 @@ async function downloadPngFile({
       if (Date.now() >= preparationDeadline || preparationPolls >= 60) {
         throw new CanvasImageDownloadError("原图仍在准备中", { code: "preparation_timeout", status: 202, requestId: preparing.requestId });
       }
-      onProgress?.({
+      onProgress?.({ phase: "preparing", message: preparing.message || "正在准备原图，完成后将自动下载" });
-        phase: preparationPhase,
-        message: isConverting ? conversionMessage : preparing.message || "正在准备原图，完成后将自动下载",
-      });
       const delaySeconds = Math.max(preparationPolls > 5 ? 5 : 1, Math.min(5, Number(preparing.retryAfter) || 3));
       await waitForRetry(delaySeconds * 1000, signal);
       continue;
@@ -410,6 +384,7 @@ async function downloadPngFile({
         retryAfterSeconds > 0
           ? `请求较多，${retryAfterSeconds} 秒后自动重试...`
           : "请求较多，正在自动重试...",
+      percent: 8,
     });
     await waitForRetry(retryAfterSeconds * 1000, signal);
   }
@@ -438,9 +413,7 @@ async function downloadPngFile({
   const filename =
     parseAttachmentFilename(response.headers.get("content-disposition")) ||
     `${filenameBase}.png`;
-  const downloadMessage = isConverting ? "正在下载 PNG..." : "正在下载原图...";
+  const blob = await readResponseBlobWithProgress(response, onProgress);
-  onProgress?.({ phase: "downloading", message: downloadMessage });
-  const blob = await readResponseBlobWithProgress(response, onProgress, downloadMessage);
 
   onProgress?.({
     phase: "saving",

lib/client/canvas-site-settings.ts

@@ -1,27 +1,11 @@
-import type { AgentWorkflowComposerContext } from "@/types/agent";
-
 const settingsCache = new Map<string, { etag: string; data: unknown }>();
 
-export async function fetchWorkflowTemplatePrompts([url, selectionRequest]: readonly [string, string]) {
-  const response = await fetch(url, {
-    method: "POST",
-    headers: { "Content-Type": "application/json" },
-    body: selectionRequest,
-    signal: AbortSignal.timeout(15_000),
-  });
-  if (!response.ok) throw new Error("风格模板提示词加载失败");
-  const data = await response.json() as { selections?: AgentWorkflowComposerContext["selections"] };
-  if (!Array.isArray(data.selections)) throw new Error("风格模板提示词返回异常");
-  return { selectionRequest, selections: data.selections };
-}
-
 export async function fetchCanvasSiteSettings(url: string) {
   const cached = settingsCache.get(url);
   const controller = new AbortController();
   const timeoutId = setTimeout(
     () => controller.abort(),
-    url === "/api/site-settings?scope=agent-canvas" ||
+    url === "/api/site-settings?scope=agent-canvas" ? 30_000 : 10_000
-      url === "/api/site-settings?scope=agent-workflow-templates" ? 30_000 : 10_000
   );
   try {
     const response = await fetch(url, {

lib/client/canvas-toolbar-capability.ts

@@ -63,5 +63,4 @@ export async function executeCanvasToolbarCapability(
   }
   current.loadCanvas(JSON.parse(merged.snapshot).canvasData);
   current.setCanvasRevision(String(result.data.updatedAt), String(result.data.updatedAt));
-  return { projectId, canvasData: result.data.canvasData, updatedAt: String(result.data.updatedAt) };
 }

lib/client/page-refresh.ts

@@ -1,50 +0,0 @@
-export const BEFORE_PAGE_REFRESH = "app:before-page-refresh";
-export const PAGE_DOWNLOAD_ACTIVE_ATTRIBUTE = "data-page-download-active";
-export type PageRefreshRequest = {
-  save: (action: () => Promise<void>) => void;
-  block: (message: string) => void;
-};
-
-const downloadListeners = new Set<() => void>();
-let activePageDownloads = 0;
-
-export function isPageDownloadActive() {
-  return activePageDownloads > 0;
-}
-
-export function subscribeToPageDownloadActivity(listener: () => void) {
-  downloadListeners.add(listener);
-  return () => { downloadListeners.delete(listener); };
-}
-
-function publishDownloadActivity() {
-  if (typeof document !== "undefined") {
-    document.documentElement?.toggleAttribute(PAGE_DOWNLOAD_ACTIVE_ATTRIBUTE, isPageDownloadActive());
-  }
-  for (const listener of downloadListeners) listener();
-}
-
-export async function withActivePageDownload<T>(download: () => Promise<T>): Promise<T> {
-  if (++activePageDownloads === 1) publishDownloadActivity();
-  try {
-    return await download();
-  } finally {
-    if (--activePageDownloads === 0) publishDownloadActivity();
-  }
-}
-
-function assertPageDownloadFinished() {
-  if (isPageDownloadActive()) throw new Error("文件正在下载，请等下载完成后再刷新。");
-}
-
-export async function preparePageRefresh() {
-  assertPageDownloadFinished();
-  const actions: Array<() => Promise<void>> = [];
-  let blocked = "";
-  window.dispatchEvent(new CustomEvent<PageRefreshRequest>(BEFORE_PAGE_REFRESH, {
-    detail: { save: action => actions.push(action), block: message => { blocked ||= message; } },
-  }));
-  if (blocked) throw new Error(blocked);
-  for (const action of actions) await action();
-  assertPageDownloadFinished();
-}

lib/image-delivery.ts

@@ -1,15 +1,6 @@
 import { normalizeLegacyAliyunStorageUrl } from "./storage/retired-storage";
 
 const IMAGE_PROXY_PATH = "/api/image-proxy";
-const CDN_PREVIEW_WIDTHS = [64, 160, 192, 240, 320, 360, 480, 520, 640, 720, 840, 960, 1280, 1600, 2048, 2560, 2600, 3200, 4096];
-
-function getConfiguredCdnUrl(): URL | undefined {
-  try {
-    return new URL(process.env.NEXT_PUBLIC_CANVAS_CDN_ORIGIN || "");
-  } catch {
-    return undefined;
-  }
-}
 
 /** Error fallbacks must keep unavailable legacy sources behind archive resolution. */
 export function buildImageFallbackUrl(value: string | null | undefined): string {
@@ -111,7 +102,10 @@ export function isAlibabaModelImageUrl(value: string): boolean {
 
 function isTrustedDirectStorageImageHost(hostname: string): boolean {
   const normalized = hostname.trim().toLowerCase();
+  let configuredCdnHost = "";
+  try { configuredCdnHost = new URL(process.env.NEXT_PUBLIC_CANVAS_CDN_ORIGIN || "").hostname; } catch { /* optional */ }
   return (
+    (configuredCdnHost !== "" && normalized === configuredCdnHost) ||
     normalized === "yybb.top" ||
     normalized.endsWith(".qiniucs.com") ||
     normalized.endsWith(".qiniudn.com") ||
@@ -133,36 +127,20 @@ function resolveTrustedDirectStorageDisplayUrl(
 ): string | null {
   try {
     const target = new URL(url);
-    const configuredCdn = getConfiguredCdnUrl();
-    const storageOrigin = process.env.NEXT_PUBLIC_CANVAS_STORAGE_ORIGIN;
-    if (configuredCdn?.protocol === "https:" && storageOrigin &&
-        target.origin === new URL(storageOrigin).origin &&
-        !target.searchParams.has("token") && !target.searchParams.has("X-Amz-Signature")) {
-      target.host = configuredCdn.host;
-      target.protocol = configuredCdn.protocol;
-    }
-    const isConfiguredCdn = target.origin === configuredCdn?.origin;
     if (
-      target.hostname !== configuredCdn?.hostname &&
       !isTrustedDirectStorageImageHost(target.hostname) &&
       !isFirstPartyQiniuAsset(target)
     ) {
       return null;
     }
 
-    const requestedWidth = normalizeWidth(options.width);
+    const width = normalizeWidth(options.width);
-    let width = requestedWidth;
+    const quality = normalizeQuality(options.quality);
-    let quality = normalizeQuality(options.quality);
     const format = options.format;
     if ((!width && !quality && !format) || target.search) {
       return target.toString();
     }
 
-    if (isConfiguredCdn && format === "webp" && requestedWidth) {
-      width = CDN_PREVIEW_WIDTHS.find((size) => size >= requestedWidth) ?? requestedWidth;
-      if (quality && quality >= 84 && quality <= 92) quality = 88;
-    }
-
     const operations = ["imageView2", "2"];
     if (width) operations.push("w", String(width));
     if (format) operations.push("format", format === "jpeg" ? "jpg" : format);
@@ -222,23 +200,6 @@ function resolveAliyunOssDisplayUrl(
 
 export function buildImageProxyUrl(url: string, options: ImageProxyOptions = {}): string {
   let source = String(url || "").trim();
-  if (options.delivery !== "original" && options.delivery !== "proxy") {
-    const base = typeof window === "undefined" ? "https://image-proxy.local" : window.location.origin;
-    try {
-      const saved = new URL(source, base);
-      if (saved.origin === base && saved.pathname === IMAGE_PROXY_PATH &&
-          !saved.searchParams.has("original") && saved.searchParams.get("proxy") !== "1") {
-        const nested = saved.searchParams.get("url") || "";
-        const format = options.format || saved.searchParams.get("f") as ImageProxyFormat | undefined;
-        const direct = resolveTrustedDirectStorageDisplayUrl(nested, {
-          width: options.width || Number(saved.searchParams.get("w")) || undefined,
-          quality: options.quality || Number(saved.searchParams.get("q")) || undefined,
-          format: ["webp", "avif", "jpeg", "png"].includes(format || "") ? format : undefined,
-        });
-        if (direct) return direct;
-      }
-    } catch { /* Keep non-storage proxies on their existing path. */ }
-  }
   // Some messages retain our preview URL instead of its source URL. Rebuild
   // that local proxy request without the preview's resize/format parameters.
   if (options.delivery === "original") {

lib/jobs/image-archive-job.ts

@@ -26,14 +26,14 @@ function getBatchSize() {
   return Math.max(1, Math.min(50, Math.round(parsed)));
 }
 
-export async function runImageArchiveJob({ preferredTaskId }: { preferredTaskId?: string } = {}) {
+export async function runImageArchiveJob() {
   return trackRuntimeWork(async () => {
   const batchSize = getBatchSize();
   console.log(`[ImageArchiveJob] Start image archive job (batchSize=${batchSize})`);
 
   await recoverStaleImageArchiveTasks();
   scheduleImageDownloadPreparation();
-  const storeTasks = await getImageArchiveTasksToStore({ limit: batchSize, preferredTaskId });
+  const storeTasks = await getImageArchiveTasksToStore({ limit: batchSize });
   let storeSucceeded = 0;
   let storeFailed = 0;
 
@@ -41,13 +41,12 @@ export async function runImageArchiveJob({ preferredTaskId }: { preferredTaskId?
     try {
       if (!(await markImageArchiveTaskArchiving(task.id))) return;
       const metadata = task.metadata as { inlineSource?: string } | null;
-      const archived = await archiveTemporaryImage(metadata?.inlineSource || task.sourceUrl, task.id);
+      const archived = await archiveTemporaryImage(metadata?.inlineSource || task.sourceUrl);
       await markImageArchiveTaskStored({
         id: task.id,
         targetUrl: archived.url,
-        downloadAsset: archived.downloadAsset,
       });
-      if (!archived.downloadAsset) scheduleImageDownloadPreparation(task.id);
+      scheduleImageDownloadPreparation(task.id);
       storeSucceeded += 1;
       console.log("[ImageArchiveJob] stored", {
         taskId: task.id,

lib/request-error.ts

@@ -228,78 +228,18 @@ export function getRequestFailureDetails(
   const status = getRequestErrorStatus(error);
   const detail = (code: string, message: string, recommendation: string, outcome: "failed" | "unknown" = "failed") =>
     ({ code, message, recommendation, outcome });
-  if (/抠图参考图文件大小超限/.test(text)) {
-    return detail("RMBG_INPUT_TOO_LARGE", getRequestErrorMessage(error) || "抠图参考图超过 AOS 的 50 MB 上限。", "请手动压缩至 50 MB 以内后重新提交。本次未提交上游抠图任务。");
-  }
-  if (/抠图参考图分辨率超限/.test(text)) {
-    return detail("RMBG_INPUT_RESOLUTION_EXCEEDED", getRequestErrorMessage(error) || "抠图参考图超过 AOS 的 4096 像素上限。", "请手动将宽、高均调整至 4096 像素以内，再重新提交。本次未提交上游抠图任务。");
-  }
-  if (/抠图参考图格式不支持/.test(text)) {
-    return detail("RMBG_INPUT_FORMAT_UNSUPPORTED", getRequestErrorMessage(error) || "AOS 不支持此参考图格式。", "请导出为 JPG、PNG 或 WebP 后重新提交。本次未提交上游抠图任务。");
-  }
-  const aosResolution = text.match(/(?:resolution excess,\s*width=(\d+),\s*height=(\d+)|图片分辨率超限（(\d+)x(\d+)）)/i);
-  if (aosResolution) {
-    return detail("RMBG_PROVIDER_RESOLUTION_EXCEEDED", `AOS 拒绝了参考图：分辨率为 ${aosResolution[1] || aosResolution[3]}×${aosResolution[2] || aosResolution[4]} 像素，宽、高均须不超过 4096 像素。`, "请手动调整尺寸后重新提交。");
-  }
-  if (/AOS.*invalid file|图片文件无法识别/i.test(text)) {
-    return detail("RMBG_PROVIDER_INVALID_FILE", "AOS 无法识别参考图，文件可能损坏或格式不受支持。", "请确认原图可以正常打开，并导出为 JPG、PNG 或 WebP 后重新提交。");
-  }
-  const aosState = text.match(/AOS任务失败（状态 (-\d+)，/);
-  if (aosState) {
-    const state = Number(aosState[1]);
-    if (state === -5) return detail("RMBG_PROVIDER_URL_TOO_LARGE", "AOS 拒绝读取参考图：链接取图大小超过上游的 30 MB 上限。", "请联系管理员核对文件提交方式；不要连续点击。上游文件上传接口允许最大 50 MB。");
-    if (state === -7) return detail("RMBG_PROVIDER_INVALID_FILE", "AOS 无法识别参考图，文件可能损坏或格式不受支持。", "请确认原图可以正常打开，并导出为 JPG、PNG 或 WebP 后重新提交。");
-    if (state === -3) return detail("RMBG_PROVIDER_SOURCE_DOWNLOAD_FAILED", "AOS 下载参考图失败，未能读取原图。", "请确认原图链接可打开；若原图正常，请联系管理员检查上游取图线路，并提供请求编号。");
-    if (state === -2) return detail("RMBG_PROVIDER_RESULT_STORAGE_FAILED", "AOS 已完成处理，但上游保存结果图片失败。", "请联系管理员核对原任务结果，避免立即重复抠图。", "unknown");
-    if (state === -8) return detail("RMBG_PROVIDER_PROCESSING_TIMEOUT", "AOS 抠图处理超时，上游已返回失败状态。", "请稍后重试；若持续发生，请联系管理员并提供请求编号。");
-    if (state === -11) return detail("RMBG_PROVIDER_EMPTY_RESULT", "AOS 抠图结果为空，未能得到有效主体。", "请检查图片中的主体是否清晰，尝试使用主体更明确的图片。");
-    if ([-17, -16, -14, -10].includes(state)) return detail("RMBG_PROVIDER_INPUT_REJECTED", `AOS 拒绝处理参考图，图片内容未通过上游检查（状态 ${state}）。`, "请更换符合上游要求的参考图；如认为判断有误，请联系管理员核对请求编号。");
-    if (state === -15) return detail("RMBG_PROVIDER_RESOURCE_UNAVAILABLE", "AOS 处理资源不足，未能完成本次抠图。", "请稍后再试；持续失败时联系管理员检查上游服务。");
-    return detail("RMBG_PROVIDER_TASK_FAILED", getRequestErrorMessage(error) || `AOS 抠图任务失败（状态 ${state}）。`, "请联系管理员并提供请求编号，核对上游任务详情。");
-  }
-  if (/AOS任务创建失败（HTTP 413）/.test(text)) {
-    return detail("RMBG_PROVIDER_FILE_TOO_LARGE", "AOS 拒绝了参考图：文件超过上游大小限制（文件上传最大 50 MB）。", "请手动压缩文件后重新提交；若文件已小于限制，请联系管理员核对上游返回。");
-  }
-  if (/AOS任务创建失败（HTTP (400|401|404)）/.test(text)) {
-    return detail("RMBG_PROVIDER_REQUEST_REJECTED", getRequestErrorMessage(error) || "AOS 拒绝了抠图请求。", "请联系管理员核对上游参数、服务权限及接口配置，并提供请求编号。");
-  }
-  if (/AOS任务创建失败（HTTP (200|5\d\d)）/.test(text)) {
-    return detail("RMBG_PROVIDER_CREATE_UNCONFIRMED", getRequestErrorMessage(error) || "AOS 未能确认抠图任务是否创建成功。", "请联系管理员核对原请求，避免连续提交造成重复处理。", "unknown");
-  }
-  const aosReadFailure = text.match(/AOS(任务查询|结果下载)失败（HTTP (\d+)/);
-  if (aosReadFailure) {
-    return aosReadFailure[1] === "任务查询"
-      ? detail("RMBG_PROVIDER_POLL_FAILED", `AOS 查询抠图任务失败（HTTP ${aosReadFailure[2]}），原任务结果尚未确认。`, "请联系管理员核对原任务，不要重复提交。", "unknown")
-      : detail("RMBG_PROVIDER_RESULT_DOWNLOAD_FAILED", `抠图已完成，但结果图片下载失败（HTTP ${aosReadFailure[2]}）。`, "请联系管理员按请求编号取回原任务结果，避免重复抠图。", "unknown");
-  }
   if (isGatewayResponseTimeout(error)) {
     return detail("RESULT_UNCONFIRMED", "模型服务响应超时（HTTP 524），生成结果尚未确认。", "请先查看历史记录，避免重复提交。", "unknown");
   }
   if (/AOS创建任务超时/.test(text)) {
     return detail("RMBG_CREATE_TIMEOUT", "抠图服务创建任务超时（120秒），结果尚未确认。", "请先查看原任务或联系管理员核对；不要连续点击，以免重复处理。", "unknown");
   }
-  if (/AOS创建任务连接失败/.test(text)) {
-    return detail("RMBG_CREATE_CONNECTION_FAILED", "抠图服务创建任务时连接中断，结果尚未确认。", "请先查看原任务或联系管理员核对；不要连续点击，以免重复处理。", "unknown");
-  }
-  if (/AOS查询任务连接失败/.test(text)) {
-    return detail("RMBG_POLL_CONNECTION_FAILED", "抠图服务查询任务时连接中断，原任务可能仍在处理。", "请保留当前页面并联系管理员核对原任务，避免重新提交。", "unknown");
-  }
   if (/AOS查询任务超时/.test(text)) {
     return detail("RMBG_POLL_TIMEOUT", "抠图服务查询任务超时，原任务可能仍在处理。", "请保留当前页面并联系管理员核对原任务，避免重新提交。", "unknown");
   }
-  if (/AOS结果下载连接失败/.test(text)) {
-    return detail("RMBG_RESULT_DOWNLOAD_CONNECTION_FAILED", "抠图已完成，但结果图片传输中断。", "请联系管理员按请求编号取回原任务结果，避免重复抠图。", "unknown");
-  }
   if (/AOS结果下载超时/.test(text)) {
     return detail("RMBG_RESULT_DOWNLOAD_TIMEOUT", "抠图已完成，但结果图片下载超时。", "请联系管理员按请求编号取回原任务结果，避免重复抠图。", "unknown");
   }
-  if (/提交生图前读取参考图超时/.test(text)) {
-    return detail("IMAGE_REFERENCE_READ_TIMEOUT", "提交生图前读取参考图超时，任务尚未提交。", "可以稍后重试。");
-  }
-  const errorName = isRecord(error) ? String(error.name || "") : "";
-  if (["AbortError", "TimeoutError"].includes(errorName) || /operation was aborted/i.test(text)) {
-    return detail("RESULT_UNCONFIRMED", errorName === "TimeoutError" ? "请求等待超时，任务结果尚未确认。" : "本次请求连接已中止，任务结果尚未确认。", "请先核对原任务或历史记录；持续没有结果时联系管理员，避免重复生成。", "unknown");
-  }
   if ((isRecord(error) && error.providerOutcomeUnknown === true) || /结果(?:尚)?未确认|结果暂未确认|request_outcome_unknown|任务执行中断|may still be running/i.test(text)) {
     return detail("RESULT_UNCONFIRMED", "任务结果尚未确认，可能仍在处理。", "请先查看原任务或历史记录；持续没有结果时联系管理员，避免重复生成。", "unknown");
   }

lib/scene-fusion/preprocess-product.ts

@@ -1,37 +0,0 @@
-import { executeRemoveBackgroundPOST } from "@/lib/canvas/operations/rmbg";
-import { createLogger } from "@/lib/observability/logger";
-
-const logger = createLogger("scene-fusion");
-
-export async function preprocessProductImageWithRmbg(params: {
-  request: Request;
-  requestId: string;
-  userId: string;
-  productImageUrl: string;
-  preRmbgEnabled: boolean;
-}): Promise<{ productImageUrl: string; usedPreRmbg: boolean; provider?: string; reason?: string }> {
-  const { request, requestId, userId, productImageUrl, preRmbgEnabled } = params;
-  if (!preRmbgEnabled) return { productImageUrl, usedPreRmbg: false, reason: "disabled_by_config" };
-
-  logger.info("pre_rmbg_started", { requestId });
-  try {
-    const response = await executeRemoveBackgroundPOST(new Request(new URL("/api/rmbg", request.url), {
-      method: "POST",
-      headers: { "Content-Type": "application/json", "X-Request-ID": `${requestId}:pre-rmbg` },
-      body: JSON.stringify({ imageUrl: productImageUrl, prompt: "场景裂变预处理-抠图", skipGallerySave: true }),
-    }), userId);
-    const payload = await response.json();
-    if (!response.ok) {
-      logger.warn("pre_rmbg_failed", { requestId, status: response.status, code: payload?.failure?.code });
-      return { productImageUrl, usedPreRmbg: false, reason: String(payload?.error || `request_failed_${response.status}`) };
-    }
-    const cleanedUrl = String(payload?.original_url || payload?.thumbnail_url || "").trim();
-    if (!cleanedUrl || cleanedUrl === productImageUrl) {
-      return { productImageUrl, usedPreRmbg: false, reason: cleanedUrl ? "same_as_source" : "empty_result" };
-    }
-    return { productImageUrl: cleanedUrl, usedPreRmbg: true, provider: String(payload?.provider || "unknown") };
-  } catch (error) {
-    logger.warn("pre_rmbg_failed", error, { requestId });
-    return { productImageUrl, usedPreRmbg: false, reason: error instanceof Error ? error.message : "exception" };
-  }
-}

lib/storage/canvas-cdn-download.ts

@@ -1,6 +1,6 @@
 import "server-only";
 import { getDefaultStorageConfig } from "@/lib/db/queries";
-import { ensureStoredImageDownloadTask, findImageArchiveDownloadTask } from "./image-archive-db";
+import { findImageArchiveDownloadTask } from "./image-archive-db";
 import { extractImageProxySourceUrl, inferOriginalImageUrl } from "@/lib/image-url";
 
 export async function resolveCanvasCdnDownload(urls: string[], filename: string) {
@@ -8,30 +8,17 @@ export async function resolveCanvasCdnDownload(urls: string[], filename: string)
     const source = extractImageProxySourceUrl(url) || url;
     return [source, inferOriginalImageUrl(source) || source];
   })));
-  let task = await findImageArchiveDownloadTask(sources, true);
+  const task = await findImageArchiveDownloadTask(sources, true);
+  const asset = (task?.metadata as { downloadAsset?: { status?: string; url?: string; contentType?: string; bytes?: number } } | null)?.downloadAsset;
+  if (!task) return { task, direct: null, canPrepareDirect: false };
   const config = await getDefaultStorageConfig();
   if (config?.type !== "qiniu-kodo" || !config.publicUrl || !config.isEnabled) return { task, direct: null, canPrepareDirect: false };
-  const base = new URL(config.publicUrl);
-  const origin = process.env.CANVAS_QINIU_ORIGIN_URL;
-  if (!task && base.protocol === "https:") {
-    for (const candidate of sources) {
-      const stored = new URL(candidate);
-      if (origin && stored.origin === new URL(origin).origin && !stored.search) {
-        stored.host = base.host;
-        stored.protocol = base.protocol;
-      }
-      if (stored.origin === base.origin && !stored.search && !stored.hash &&
-          stored.pathname.startsWith(base.pathname.replace(/\/$/, "") + "/uploads/")) {
-        task = await ensureStoredImageDownloadTask(stored.toString());
-        break;
-      }
-    }
-  }
-  const asset = (task?.metadata as { downloadAsset?: { status?: string; url?: string; contentType?: string; bytes?: number } } | null)?.downloadAsset;
   const ready = asset?.status === "ready" && asset.url && asset.contentType === "image/png";
-  const source = ready ? asset.url : task?.targetUrl;
+  const source = ready ? asset.url : task.targetUrl;
   if (!source) return { task, direct: null, canPrepareDirect: false };
   const url = new URL(source);
+  const base = new URL(config.publicUrl);
+  const origin = process.env.CANVAS_QINIU_ORIGIN_URL;
   if (origin && url.origin === new URL(origin).origin) url.host = base.host;
   if (base.protocol !== "https:" || url.origin !== base.origin
       || !(url.pathname.startsWith(base.pathname.replace(/\/$/, "") + "/"))) return { task, direct: null, canPrepareDirect: false };

lib/storage/canvas-zip-delivery.ts

@@ -1,72 +1,11 @@
 import "server-only";
 import { createReadStream } from "node:fs";
-import { open } from "node:fs/promises";
+import { PutObjectCommand } from "@aws-sdk/client-s3";
-import { AbortMultipartUploadCommand, CompleteMultipartUploadCommand, CreateMultipartUploadCommand, HeadObjectCommand, PutObjectCommand, UploadPartCommand, type S3Client } from "@aws-sdk/client-s3";
 import { getDefaultStorageConfig, getStorageConfigById } from "@/lib/db/queries";
 import { createS3Client, toDbS3UploadConfig, buildS3PublicUrl } from "./service";
 
-type ZipPublication = { id: string; path: string; bytes: number; disposition: string; onProgress?: (bytes: number) => Promise<void> };
+/** Only a completely written archive is uploaded. Local GET remains a fallback. */
-const PART_BYTES = 8 * 1024 ** 2;
+export async function publishCanvasZip(params: { id: string; path: string; bytes: number; disposition: string }) {
-
-async function uploadZip(client: S3Client, bucket: string, key: string, params: ZipPublication) {
-  const metadata = { Bucket: bucket, Key: key, ContentType: "application/zip", ContentDisposition: params.disposition, CacheControl: "public, max-age=1800" };
-  if (params.bytes <= 2 * PART_BYTES) {
-    const body = createReadStream(params.path);
-    try {
-      await client.send(new PutObjectCommand({ ...metadata, Body: body, ContentLength: params.bytes }), { abortSignal: AbortSignal.timeout(90_000) });
-      await params.onProgress?.(params.bytes);
-    } finally { body.destroy(); }
-    return;
-  }
-  const initiated = await client.send(new CreateMultipartUploadCommand(metadata), { abortSignal: AbortSignal.timeout(15_000) });
-  if (!initiated.UploadId) throw new Error("七牛未返回分片上传编号");
-  const upload = { Bucket: bucket, Key: key, UploadId: initiated.UploadId };
-  const handle = await open(params.path, "r").catch(async error => {
-    await client.send(new AbortMultipartUploadCommand(upload), { abortSignal: AbortSignal.timeout(10_000) }).catch(() => undefined);
-    throw error;
-  });
-  const parts: Array<{ PartNumber: number; ETag: string }> = [];
-  let cursor = 0;
-  let uploaded = 0;
-  let progress = Promise.resolve();
-  const controller = new AbortController();
-  try {
-    const workers = await Promise.allSettled(Array.from({ length: 3 }, async () => {
-      try {
-        while (!controller.signal.aborted) {
-          const index = cursor++;
-          const start = index * PART_BYTES;
-          if (start >= params.bytes) return;
-          const body = Buffer.allocUnsafe(Math.min(PART_BYTES, params.bytes - start));
-          let read = 0;
-          while (read < body.length) {
-            const result = await handle.read(body, read, body.length - read, start + read);
-            if (!result.bytesRead) throw new Error("完整 ZIP 文件读取中断，请重试下载");
-            read += result.bytesRead;
-          }
-          const part = await client.send(new UploadPartCommand({ ...upload, PartNumber: index + 1, Body: body, ContentLength: body.length }), {
-            abortSignal: AbortSignal.any([controller.signal, AbortSignal.timeout(180_000)]),
-          });
-          if (!part.ETag) throw new Error("七牛未确认上传分片");
-          parts.push({ PartNumber: index + 1, ETag: part.ETag });
-          uploaded += body.length;
-          const bytes = uploaded;
-          progress = progress.then(() => params.onProgress?.(bytes));
-          await progress;
-        }
-      } catch (error) { controller.abort(); throw error; }
-    }));
-    const failure = workers.find(worker => worker.status === "rejected");
-    if (failure?.status === "rejected") throw failure.reason;
-    await client.send(new CompleteMultipartUploadCommand({ ...upload, MultipartUpload: { Parts: parts.sort((a, b) => a.PartNumber - b.PartNumber) } }), { abortSignal: AbortSignal.timeout(30_000) });
-  } catch (error) {
-    await client.send(new AbortMultipartUploadCommand(upload), { abortSignal: AbortSignal.timeout(10_000) }).catch(() => undefined);
-    throw error;
-  } finally { await handle.close(); }
-}
-
-/** Publish the complete ZIP before offering the accelerated download. */
-export async function publishCanvasZip(params: ZipPublication) {
   const raw = await getDefaultStorageConfig();
   const config = toDbS3UploadConfig(raw);
   if (config?.provider !== "qiniu-kodo" || !config.publicUrl?.startsWith("https://")) return null;
@@ -74,37 +13,20 @@ export async function publishCanvasZip(params: ZipPublication) {
   const client = createS3Client(config);
   // Qiniu's S3 endpoint expects an ordinary known-length body, without AWS trailers.
   client.config.requestChecksumCalculation = async () => "WHEN_REQUIRED";
-  let phase: "check" | "upload" | "verify" = "check";
+  const body = createReadStream(params.path);
-  const startedAt = Date.now();
-  let uploadedBytes = 0;
   try {
-    const existing = await client.send(new HeadObjectCommand({ Bucket: config.bucket, Key: key }), { abortSignal: AbortSignal.timeout(15_000) }).catch(error => {
+    await client.send(new PutObjectCommand({ Bucket: config.bucket, Key: key, Body: body,
-      if (error.$metadata?.httpStatusCode === 404) return null;
+      ContentLength: params.bytes, ContentType: "application/zip", ContentDisposition: params.disposition,
-      throw error;
+      CacheControl: "public, max-age=1800" }), { abortSignal: AbortSignal.timeout(90_000) });
-    });
+    const url = buildS3PublicUrl(config, key);
-    if (existing?.ContentLength !== params.bytes) {
-      phase = "upload";
-      await uploadZip(client, config.bucket, key, { ...params, onProgress: async bytes => {
-        uploadedBytes = bytes;
-        await params.onProgress?.(bytes);
-      } });
-    }
-    phase = "verify";
-    const target = new URL(buildS3PublicUrl(config, key));
-    target.searchParams.set("v", String(params.bytes));
-    const url = target.toString();
     const response = await fetch(url, { method: "HEAD", redirect: "error", signal: AbortSignal.timeout(10_000) });
     const length = Number(response.headers.get("content-length"));
     if (!response.ok || length !== params.bytes) throw new Error("CDN object is not ready");
     return { url, storageConfigId: raw!.id, key };
   } catch (error) {
-    const kind = (error as Error).name;
+    console.warn("[CanvasDownloadZipTask] CDN upload/check failed; using complete local file", { taskId: params.id, kind: (error as Error).name });
-    const status = (error as { $metadata?: { httpStatusCode?: number } }).$metadata?.httpStatusCode;
+    return { url: null, storageConfigId: raw!.id, key };
-    console.warn("[CanvasDownloadZipTask] CDN publication failed", { taskId: params.id, phase, kind, status, bytes: params.bytes, uploadedBytes, elapsedMs: Date.now() - startedAt });
+  } finally { body.destroy(); client.destroy(); }
-    const reason = status === 401 || status === 403 ? `七牛拒绝访问（HTTP ${status}），请管理员检查存储权限` : phase === "check" ? "暂时无法确认七牛文件状态" : phase === "verify" ? "七牛下载链接尚未可用" : /AbortError|TimeoutError/.test(kind) ? "传送至七牛时超时" : "传送至七牛失败";
-    const advice = status === 401 || status === 403 ? "存储权限恢复后再次点击下载即可继续传送原 ZIP" : "请再次点击下载以继续传送原 ZIP";
-    return { url: null, storageConfigId: raw!.id, key, error: `ZIP 已打包完成，但${reason}。${advice}；不会重新生成图片。若持续失败，请联系管理员并提供下载编号：${params.id}` };
-  } finally { client.destroy(); }
 }
 
 export async function removeCanvasZipObject(object: { storageConfigId: string; key: string }) {

lib/storage/image-archive-db.ts

@@ -98,11 +98,8 @@ export async function enqueueImageArchiveTasks(params: {
   return tasks;
 }
 
-export async function getImageArchiveTasksToStore(params: { limit: number; preferredTaskId?: string }) {
+export async function getImageArchiveTasksToStore(params: { limit: number }) {
   const now = new Date();
-  const priority = params.preferredTaskId
-    ? [asc(sql`case when ${imageArchiveTask.id} = ${params.preferredTaskId} then 0 else 1 end`)]
-    : [];
   return await db
     .select()
     .from(imageArchiveTask)
@@ -113,7 +110,7 @@ export async function getImageArchiveTasksToStore(params: { limit: number; prefe
         lt(imageArchiveTask.attemptCount, MAX_IMAGE_ARCHIVE_ATTEMPTS),
       ),
     )
-    .orderBy(...priority, asc(imageArchiveTask.createdAt), asc(imageArchiveTask.id))
+    .orderBy(asc(imageArchiveTask.createdAt), asc(imageArchiveTask.id))
     .limit(Math.max(1, Math.min(50, params.limit)));
 }
 
@@ -141,7 +138,6 @@ export async function markImageArchiveTaskStored(params: {
   id: string;
   targetUrl: string;
   targetStorageConfigId?: string | null;
-  downloadAsset?: import("./qiniu-image-archive").ReadyImageDownload;
 }) {
   await db
     .update(imageArchiveTask)
@@ -149,7 +145,7 @@ export async function markImageArchiveTaskStored(params: {
       status: "stored",
       targetUrl: params.targetUrl,
       targetStorageConfigId: params.targetStorageConfigId || null,
-      metadata: sql`coalesce(${imageArchiveTask.metadata}, '{}'::jsonb) || jsonb_build_object('downloadAsset', ${JSON.stringify(params.downloadAsset ?? { status: "pending" })}::jsonb)`,
+      metadata: sql`coalesce(${imageArchiveTask.metadata}, '{}'::jsonb) || jsonb_build_object('downloadAsset', jsonb_build_object('status', 'pending'))`,
       archivedAt: new Date(),
       replaceAfterAt: new Date(),
       lastError: null,
@@ -353,17 +349,6 @@ export async function findImageArchiveDownloadTask(urls: string[], prepareOnDema
   }
   return task || null;
 }
-
-/** Reuse the download worker for stored uploads and synchronous tool results. */
-export async function ensureStoredImageDownloadTask(url: string) {
-  const now = new Date();
-  const [created] = await db.insert(imageArchiveTask).values({
-    sourceUrl: url, targetUrl: url, status: "completed", archiveAfterAt: now,
-    replaceAfterAt: now, archivedAt: now, replacedAt: now, updatedAt: now,
-    metadata: { downloadAsset: { status: "pending" } },
-  }).onConflictDoNothing({ target: imageArchiveTask.sourceUrl }).returning();
-  return created || await findImageArchiveDownloadTask([url], true);
-}
 export async function hasPendingImageDownloads() {
   const [task] = await db.select({ id: imageArchiveTask.id }).from(imageArchiveTask).where(
     sql`${imageArchiveTask.metadata}->'downloadAsset'->>'status' in ('pending', 'preparing', 'failed')`,

lib/storage/image-archive-worker.ts

@@ -6,7 +6,6 @@ type Worker = {
   running: boolean;
   scheduled: boolean;
   requested: boolean;
-  preferredTaskId?: string;
   retryTimer?: ReturnType<typeof setTimeout>;
 };
 function getWorker(): Worker {
@@ -14,9 +13,8 @@ function getWorker(): Worker {
   return (root[workerKey] ??= { running: false, scheduled: false, requested: false });
 }
 
-export function scheduleImageArchiveWorker(deliveryConfirmed = false, preferredTaskId?: string) {
+export function scheduleImageArchiveWorker(deliveryConfirmed = false) {
   const worker = getWorker();
-  worker.preferredTaskId ??= preferredTaskId;
   worker.requested = true;
   if (worker.running || (worker.scheduled && !deliveryConfirmed)) return;
   worker.scheduled = true;
@@ -33,9 +31,7 @@ export function scheduleImageArchiveWorker(deliveryConfirmed = false, preferredT
       const { runImageArchiveJob } = await import("@/lib/jobs/image-archive-job");
       do {
         worker.requested = false;
-        const nextTaskId = worker.preferredTaskId;
+        const result = await runImageArchiveJob();
-        worker.preferredTaskId = undefined;
-        const result = await runImageArchiveJob({ preferredTaskId: nextTaskId });
         retryNeeded = result.stats.pendingStore > 0 || result.stats.pendingReplace > 0 || result.pendingDownloads === true;
         // Stop when only backoff tasks remain; do not spin while storage is down.
         if (!worker.requested && result.store.total === 0 && result.replace.total === 0 && result.downloadTasks === 0) break;

lib/storage/image-archive.ts

@@ -12,7 +12,6 @@ import {
   imageArchiveSourceKey,
 } from "@/lib/storage/image-archive-db";
 import { uploadFile } from "@/lib/storage/service";
-import { archiveImageThroughQiniu } from "./qiniu-image-archive";
 
 const logger = createLogger("image-archive");
 
@@ -183,7 +182,7 @@ export async function downloadTemporaryImage(params: { sourceUrl: string; retrie
       });
       return { ...data, extension: getImageExtension(data.contentType, params.sourceUrl) };
     } catch (error) {
-      if (attempt >= retries || /\bHTTP (?:404|410)\b/.test(String(error))) throw error;
+      if (attempt >= retries) throw error;
       await new Promise((resolve) => setTimeout(resolve, 1000 * (attempt + 1)));
     }
   }
@@ -191,14 +190,7 @@ export async function downloadTemporaryImage(params: { sourceUrl: string; retrie
   throw new Error("Image download failed");
 }
 
-export async function archiveTemporaryImage(sourceUrl: string, archiveId?: string) {
+export async function archiveTemporaryImage(sourceUrl: string) {
-  if (archiveId) {
-    const direct = await archiveImageThroughQiniu(sourceUrl, archiveId).catch(error => {
-      logger.warn("cloud_archive_fallback", error, { archiveId });
-      return null;
-    });
-    if (direct) return direct;
-  }
   const downloaded = await downloadTemporaryImage({ sourceUrl });
   const objectSuffix = `${Date.now()}-${randomUUID()}`;
   const filename = `ai-generated-archive-${objectSuffix}.${downloaded.extension}`;
@@ -210,6 +202,5 @@ export async function archiveTemporaryImage(sourceUrl: string, archiveId?: strin
     pathname: uploaded.pathname,
     contentType: uploaded.contentType,
     bytes: downloaded.buffer.length,
-    downloadAsset: undefined,
   };
 }

lib/storage/image-download-preparation.ts

@@ -4,7 +4,6 @@ import { fetchImageBytes, cacheImageBytes } from "./image-byte-cache";
 import { normalizeCanvasDownloadAsset } from "@/lib/canvas/photoshop-safe-download";
 import { claimImageDownloadTask, saveImageDownloadAsset, getImageDownloadTasks, hasPendingImageDownloads } from "./image-archive-db";
 import { uploadFile } from "./service";
-import { getReadyQiniuImageDownload, prepareQiniuWebpDownload } from "./qiniu-image-archive";
 import { getDownloadFailure } from "@/lib/canvas/download-error";
 import { createLogger } from "@/lib/observability/logger";
 import { trackRuntimeWork } from "@/lib/observability/active-work";
@@ -16,16 +15,6 @@ export async function prepareImageArchiveDownload(id: string) {
   if (!task?.targetUrl) return;
   let phase: "read" | "convert" | "store" = "read";
   try {
-    const ready = await getReadyQiniuImageDownload(task.targetUrl).catch(() => undefined);
-    if (ready) {
-      await saveImageDownloadAsset(id, ready);
-      return;
-    }
-    const converted = await prepareQiniuWebpDownload(task.targetUrl, task.id).catch(() => undefined);
-    if (converted) {
-      await saveImageDownloadAsset(id, converted);
-      return;
-    }
     const source = await fetchImageBytes(task.targetUrl);
     phase = "convert";
     const asset = await normalizeCanvasDownloadAsset({

lib/storage/original-image-download.ts

@@ -4,7 +4,6 @@ import { findImageArchiveDownloadTask } from "./image-archive-db";
 import { inferOriginalImageUrl } from "@/lib/image-url";
 import { getImageDownloadExtension } from "@/lib/image-delivery";
 import { sanitizeCanvasDownloadFileName } from "@/lib/canvas/photoshop-safe-download";
-import { HeadObjectCommand } from "@aws-sdk/client-s3";
 
 /** Resolve the archived original without waiting for a separate PNG conversion. */
 export async function resolveOriginalCdnDownload(source: string, name: string, signal: AbortSignal) {
@@ -15,10 +14,6 @@ export async function resolveOriginalCdnDownload(source: string, name: string, s
   let target = new URL(source);
   if (target.origin !== base.origin && (!origin || target.origin !== new URL(origin).origin)) {
     const task = await findImageArchiveDownloadTask([...new Set([source, inferOriginalImageUrl(source)])]);
-    if (task?.status === "pending" && !task.targetUrl) {
-      const { scheduleImageArchiveWorker } = await import("./image-archive-worker");
-      scheduleImageArchiveWorker(false, task.id);
-    }
     target = new URL(task?.targetUrl || source);
   }
   if (origin && target.origin === new URL(origin).origin && !target.searchParams.has("token")) {
@@ -33,32 +28,8 @@ export async function resolveOriginalCdnDownload(source: string, name: string, s
   // Only metadata crosses the application server. The browser receives the file
   // from the CDN, including when cross-origin fetch is disabled by storage CORS.
   const response = await fetch(target, {
-    method: "HEAD", cache: "default",
+    method: "HEAD", cache: "no-store",
-    signal: AbortSignal.any([signal, AbortSignal.timeout(3_000)]),
+    signal: AbortSignal.any([signal, AbortSignal.timeout(10_000)]),
-  }).catch(async (error) => {
-    signal.throwIfAborted();
-    if (target.search) throw error;
-    const { createS3Client, toDbS3UploadConfig } = await import("./service");
-    const storage = toDbS3UploadConfig(config);
-    if (!storage) throw error;
-    const key = decodeURIComponent(target.pathname.slice(base.pathname.replace(/\/$/, "").length + 1));
-    if (!key) throw error;
-    const client = createS3Client(storage);
-    try {
-      const object = await client.send(new HeadObjectCommand({ Bucket: storage.bucket, Key: key }), {
-        abortSignal: AbortSignal.any([signal, AbortSignal.timeout(5_000)]),
-      });
-      return new Response(null, { headers: {
-        "content-type": object.ContentType || "",
-        "content-length": String(object.ContentLength ?? 0),
-      } });
-    } catch (storageError) {
-      const status = (storageError as { $metadata?: { httpStatusCode?: number } })?.$metadata?.httpStatusCode;
-      if (status === 403 || status === 404) throw new Error(`HTTP ${status}`);
-      throw error;
-    } finally {
-      client.destroy();
-    }
   });
   if (!response.ok) throw new Error(`HTTP ${response.status}`);
   const contentType = response.headers.get("content-type") || "";

lib/storage/qiniu-image-archive.ts

@@ -1,149 +0,0 @@
-import "server-only";
-
-import { GetObjectCommand } from "@aws-sdk/client-s3";
-import { createHmac } from "node:crypto";
-import {
-  buildS3PublicUrl,
-  createS3Client,
-  resolveS3UploadTarget,
-} from "@/lib/storage/service";
-
-const QINIU_EAST_CHINA_IO = "iovip-z0.qiniuio.com";
-const PNG_HEADER_LIMIT = 64 * 1024;
-const PNG_SIGNATURE = Buffer.from("89504e470d0a1a0a", "hex");
-
-export type ReadyImageDownload = {
-  status: "ready";
-  url: string;
-  contentType: "image/png";
-  bytes: number;
-  preparedAt: string;
-};
-
-function encodeQiniu(value: string | Buffer) {
-  return (typeof value === "string" ? Buffer.from(value) : value)
-    .toString("base64").replace(/\+/g, "-").replace(/\//g, "_");
-}
-
-function isDownloadReadyPng(prefix: Buffer) {
-  if (prefix.length < 41 || !prefix.subarray(0, 8).equals(PNG_SIGNATURE)
-    || prefix.readUInt32BE(8) !== 13 || prefix.toString("ascii", 12, 16) !== "IHDR"
-    || !prefix.readUInt32BE(16) || !prefix.readUInt32BE(20)
-    || (prefix[24] !== 8 && prefix[24] !== 16) || (prefix[25] !== 2 && prefix[25] !== 6)) return false;
-
-  // Animation and EXIF orientation need the existing full-image preparation.
-  // An embedded color profile is fine: the browser gets the exact stored bytes.
-  for (let offset = 33; offset + 8 <= prefix.length;) {
-    const type = prefix.toString("ascii", offset + 4, offset + 8);
-    if (type === "IDAT") return true;
-    if (type === "acTL" || type === "eXIf" || type === "IEND") return false;
-    offset += prefix.readUInt32BE(offset) + 12;
-  }
-  return false;
-}
-
-export async function getReadyQiniuImageDownload(url: string, target?: Awaited<ReturnType<typeof resolveS3UploadTarget>>) {
-  const config = (target ?? await resolveS3UploadTarget())?.config;
-  if (config?.provider !== "qiniu-kodo" || !config.publicUrl) return;
-  const base = buildS3PublicUrl(config, "");
-  if (!url.startsWith(base)) return;
-  const key = url.slice(base.length);
-  if (!/^uploads\/(?:[\w.-]+\/)*[\w.-]+$/.test(key)) return;
-
-  const client = createS3Client(config);
-  try {
-    const response = await client.send(new GetObjectCommand({
-      Bucket: config.bucket, Key: key, Range: `bytes=0-${PNG_HEADER_LIMIT - 1}`,
-    }), { abortSignal: AbortSignal.timeout(10_000) });
-    const range = response.ContentRange?.match(/^bytes 0-(\d+)\/(\d+)$/);
-    const length = response.ContentLength ?? 0;
-    const bytes = Number(range?.[2]);
-    if (response.$metadata.httpStatusCode !== 206 || response.ContentType !== "image/png"
-      || !range || !response.Body || length <= 0 || length > PNG_HEADER_LIMIT
-      || Number(range[1]) + 1 !== length || bytes < length) {
-      (response.Body as NodeJS.ReadableStream & { destroy?: () => void } | undefined)?.destroy?.();
-      return;
-    }
-    const prefix = Buffer.from(await response.Body.transformToByteArray());
-    if (prefix.length === length && isDownloadReadyPng(prefix)) {
-      return { status: "ready", url, contentType: "image/png", bytes, preparedAt: new Date().toISOString() } satisfies ReadyImageDownload;
-    }
-  } finally {
-    client.destroy();
-  }
-}
-
-export async function archiveImageThroughQiniu(sourceUrl: string, archiveId: string) {
-  let source: URL;
-  try { source = new URL(sourceUrl); } catch { return null; }
-  if (!/^https?:$/.test(source.protocol) || source.username || source.password) return null;
-  const target = await resolveS3UploadTarget();
-  const config = target?.config;
-  if (config?.provider !== "qiniu-kodo" || config.region !== "cn-east-1" || !config.publicUrl) {
-    return null;
-  }
-  // Files already in our bucket and inline previews need no remote copy.
-  const localOrigins = [config.publicUrl, config.endpoint, process.env.CANVAS_QINIU_ORIGIN_URL,
-    process.env.NEXT_PUBLIC_APP_URL, process.env.AUTH_URL, process.env.NEXTAUTH_URL];
-  if (localOrigins.some(value => value && new URL(value).origin === source.origin)
-      || source.hostname === "localhost" || source.hostname === "[::1]"
-      || /^(?:127\.|10\.|192\.168\.|169\.254\.|172\.(?:1[6-9]|2\d|3[01])\.)/.test(source.hostname)) return null;
-
-  // The archive task owns this object key, including retries after a timeout.
-  const pathname = `uploads/ai-generated-archive-${archiveId}`;
-  return fetchImageIntoQiniu(sourceUrl, pathname, target!);
-}
-
-/** Prepare uploaded WebP images inside Kodo, retaining their embedded colour profile. */
-export async function prepareQiniuWebpDownload(url: string, taskId: string) {
-  const target = await resolveS3UploadTarget();
-  const config = target?.config;
-  if (config?.provider !== "qiniu-kodo" || config.region !== "cn-east-1" || !config.publicUrl) return;
-  const base = buildS3PublicUrl(config, "");
-  if (!url.startsWith(base) || !/^uploads\/(?:[\w.-]+\/)*[\w.-]+\.webp$/i.test(url.slice(base.length))) return;
-  // No resizing or lossy re-encoding; apply orientation before removing EXIF.
-  const source = `${url}?imageMogr2/auto-orient/format/png/strip/meta-keep-list/${encodeQiniu("icc")}`;
-  const result = await fetchImageIntoQiniu(source, `uploads/canvas-download-${taskId}.png`, target!);
-  return result.downloadAsset;
-}
-
-async function fetchImageIntoQiniu(
-  sourceUrl: string,
-  pathname: string,
-  target: NonNullable<Awaited<ReturnType<typeof resolveS3UploadTarget>>>,
-) {
-  const config = target.config;
-  const path = `/fetch/${encodeQiniu(sourceUrl)}/to/${encodeQiniu(`${config.bucket}:${pathname}`)}`;
-  const contentType = "application/x-www-form-urlencoded";
-  const signingData = `POST ${path}\nHost: ${QINIU_EAST_CHINA_IO}\nContent-Type: ${contentType}\n\n`;
-  const signature = encodeQiniu(createHmac("sha1", config.secretAccessKey).update(signingData).digest());
-  const response = await fetch(`https://${QINIU_EAST_CHINA_IO}${path}`, {
-    method: "POST",
-    headers: {
-      Authorization: `Qiniu ${config.accessKeyId}:${signature}`,
-      "Content-Type": contentType,
-    },
-    body: "",
-    redirect: "error",
-    signal: AbortSignal.timeout(40_000),
-  });
-  if (!response.ok) {
-    await response.body?.cancel();
-    throw new Error(`Qiniu archive fetch returned HTTP ${response.status}`);
-  }
-  const result = await response.json() as { key?: string; fsize?: number; mimeType?: string };
-  if (result.key !== pathname || !result.fsize || !result.mimeType?.startsWith("image/")) {
-    throw new Error("Qiniu archive fetch did not return an image");
-  }
-  const url = buildS3PublicUrl(config, pathname);
-  return {
-    url,
-    thumbnailUrl: url,
-    pathname,
-    contentType: result.mimeType,
-    bytes: result.fsize,
-    downloadAsset: result.mimeType === "image/png"
-      ? await getReadyQiniuImageDownload(url, target).catch(() => undefined)
-      : undefined,
-  };
-}

lib/storage/service.ts

@@ -3,7 +3,6 @@ import { isRetiredStorageUrl, isLegacyAliyunStorageConfig, RETIRED_STORAGE_MESSA
 
 import { DeleteObjectCommand, PutObjectCommand, S3Client } from "@aws-sdk/client-s3";
 import { put } from "@vercel/blob";
-import { createHmac } from "node:crypto";
 import {
   getDefaultStorageConfig,
   getStorageConfigById,
@@ -240,48 +239,12 @@ export async function maybeEnqueueStorageMigrationTask(params: {
   await maybeEnqueueAliyunMigrationTask(params);
 }
 
-async function uploadQiniuForm(
-  config: S3UploadConfig,
-  key: string,
-  buffer: ArrayBuffer,
-  contentType: string
-) {
-  const encode = (value: Buffer) =>
-    value.toString("base64").replace(/\+/g, "-").replace(/\//g, "_");
-  const policy = encode(Buffer.from(JSON.stringify({
-    scope: `${config.bucket}:${key}`,
-    deadline: Math.floor(Date.now() / 1000) + 120,
-    insertOnly: 1,
-  })));
-  const signature = encode(createHmac("sha1", config.secretAccessKey).update(policy).digest());
-  const form = new FormData();
-  form.append("token", `${config.accessKeyId}:${signature}:${policy}`);
-  form.append("key", key);
-  form.append("file", new Blob([buffer], { type: contentType }), key.split("/").at(-1));
-
-  const startedAt = Date.now();
-  const response = await fetch("https://upload.qiniup.com/", {
-    method: "POST",
-    body: form,
-    redirect: "error",
-    signal: AbortSignal.timeout(45_000),
-  });
-  if (!response.ok) {
-    await response.body?.cancel();
-    throw new Error(`Qiniu form upload returned HTTP ${response.status}`);
-  }
-  const result = await response.json() as { key?: string };
-  if (result.key !== key) throw new Error("Qiniu form upload returned an unexpected key");
-  logger.info("qiniu_form_upload_completed", { bytes: buffer.byteLength, elapsedMs: Date.now() - startedAt });
-}
-
 // S3/MinIO 上传函数（使用 AWS SDK）
 async function uploadToS3(
   filename: string,
   buffer: ArrayBuffer,
   config: S3UploadConfig,
-  s3Client = createS3Client(config),
+  s3Client = createS3Client(config)
-  preferQiniuForm = false
 ) {
   const {
     endpoint,
@@ -297,14 +260,6 @@ async function uploadToS3(
   const contentType = getContentType(filename);
 
   try {
-    if (preferQiniuForm && config.provider === "qiniu-kodo" && config.region === "cn-east-1") {
-      try {
-        await uploadQiniuForm(config, key, buffer, contentType);
-        return { url: buildS3PublicUrl(config, key), pathname: key, contentType };
-      } catch (error) {
-        logger.warn("[Upload] Qiniu form upload failed, retrying the same object through S3", error);
-      }
-    }
     logger.debug(`[S3 Upload] Uploading to: ${normalizedEndpoint}/${bucket}/${key}`);
 
     // 上传文件
@@ -596,8 +551,7 @@ async function uploadWithAnyEnabledStorageConfig(
 // 上传文件到存储服务
 export async function uploadFile(
   filename: string,
-  buffer: ArrayBuffer,
+  buffer: ArrayBuffer
-  options?: { preferQiniuForm?: boolean }
 ): Promise<UploadedFileResult> {
   logger.debug(`[Upload] Starting upload for file: ${filename}`);
 
@@ -618,7 +572,7 @@ export async function uploadFile(
       logger.debug(`[Upload] Using database S3 config: ${selectedStorageConfig?.name}`);
       logger.debug(`[Upload] Endpoint: ${dbS3Config.endpoint}`);
       logger.debug(`[Upload] Bucket: ${dbS3Config.bucket}`);
-      const uploaded = await uploadToS3(filename, buffer, dbS3Config, undefined, options?.preferQiniuForm);
+      const uploaded = await uploadToS3(filename, buffer, dbS3Config);
       lastKnownGoodDbS3Config = dbS3Config;
       await maybeEnqueueAliyunMigrationTask({
         uploaded,

lib/video-canvas/merge-snapshot.ts

@@ -107,5 +107,5 @@ export function mergeCanvasSnapshots(
       (e: any) => ids.has(e.source) && ids.has(e.target),
     );
   }
-  return { snapshot: JSON.stringify(snapshot), conflicts, changed: !same(snapshot, local) };
+  return { snapshot: JSON.stringify(snapshot), conflicts };
 }

next.config.ts

@@ -1,8 +1,4 @@
 import type { NextConfig } from "next";
-import { basename, dirname } from "node:path";
-
-const appRelease = [basename(process.cwd()), basename(dirname(process.cwd()))]
-  .find(name => /^\d{8}T\d{6}Z-[a-f0-9]{12}$/.test(name)) || "development";
 
 function resolvePascalEditorFrameSource() {
   const rawUrl = (
@@ -49,10 +45,6 @@ function resolveDevMediaOrigins(isDev: boolean) {
 }
 
 const nextConfig: NextConfig = {
-  env: {
-    NEXT_PUBLIC_APP_RELEASE: appRelease,
-    NEXT_PUBLIC_CANVAS_STORAGE_ORIGIN: process.env.CANVAS_QINIU_ORIGIN_URL || "",
-  },
   distDir: process.env.NEXT_DIST_DIR?.trim() || ".next",
   poweredByHeader: false,
   allowedDevOrigins: ["127.0.0.1"],

playwright.canvas-agent.config.ts

@@ -2,7 +2,7 @@ import { defineConfig } from "@playwright/test";
 
 export default defineConfig({
   testDir: "./tests/routes",
-  testMatch: /(?:canvas-agent-runtime(?:-store|-review|-video|-image-preferences|-image-failover|-progress)?|canvas-agent-project-tools|agent-capability-access|zcode-agent-task)\.test\.tsx?/,
+  testMatch: /(?:canvas-agent-runtime(?:-store|-review|-video|-image-preferences|-image-failover|-progress)?|canvas-agent-project-tools|agent-capability-access)\.test\.tsx?/,
   fullyParallel: true,
   retries: 0,
   workers: 2,

playwright.helpers.config.ts

@@ -15,14 +15,12 @@ export default defineConfig({
     /routes\/runtime-active-work\.test\.ts/,
     /routes\/canvas-capability-task-recovery\.test\.ts/,
     /routes\/canvas-toolbar-capability\.test\.ts/,
-    /routes\/canvas-text-detect\.test\.ts/,
     /routes\/agent-project-recovery\.test\.ts/,
     /routes\/admin-media-loading\.test\.ts/,
     /routes\/video-canvas-production\.test\.ts/,
     /routes\/video-canvas-media-import\.test\.ts/,
     /routes\/video-canvas-toolbar-jobs\.test\.ts/,
     /routes\/image-provider-error-classification\.test\.ts/,
-    /routes\/image-generation-status\.test\.ts/,
     /routes\/canvas-agent-runtime-image-failover\.test\.ts/,
     /routes\/video-canvas-audio-remote\.test\.ts/,
     /routes\/video-canvas-groups-upscale\.test\.ts/,