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/(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-failover.ts

@@ -5,7 +5,7 @@ import { modelLacksReferenceImageInputSupport } from "@/lib/ai/reference-image-c
 import type { ChatMessage } from "@/lib/types";
 import { convertMessagesWithImages } from "./image-media";
 import { isProviderBalanceError } from "@/lib/request-error";
-import { isImageModelBalanceBlocked } from "@/lib/ai/runtime/image-balance";
+import { isImageFallbackModelBalanceCoolingDown } from "@/lib/ai/runtime/image-fallback-balance-cooldown";
 
 const chatApiLogger = createLogger("chat.imageFailover");
 
@@ -326,7 +326,7 @@ export function buildImageFallbackCandidates(
     if (!sameProvider && !IMAGE_FAILOVER_PROVIDER_ALLOWLIST.has(providerType)) {
       return false;
     }
-    if (isImageFallbackModelCoolingDown(item.model.id) || isImageModelBalanceBlocked(item.model)) {
+    if (isImageFallbackModelCoolingDown(item.model.id) || isImageFallbackModelBalanceCoolingDown(item.model)) {
       const cooldown = imageFailoverModelCooldown.get(item.model.id);
       chatApiLogger.info(`[Chat API] ⏭ Skip configured image fallback on cooldown: ${item.model.displayName} (${providerType}) - ${cooldown?.reason || "provider balance cooldown"}`);
       return false;
@@ -488,7 +488,7 @@ export function getImageCrossProviderCandidates(
       }
       if (m.model.id === options.currentModelId) return false;
       if (options.currentProviderId && m.provider.id === options.currentProviderId) return false;
-      if (isImageFallbackModelCoolingDown(m.model.id) || isImageModelBalanceBlocked(m.model)) {
+      if (isImageFallbackModelCoolingDown(m.model.id) || isImageFallbackModelBalanceCoolingDown(m.model)) {
         const cooldown = imageFailoverModelCooldown.get(m.model.id);
         chatApiLogger.info(`[Chat API] ⏭ Skip image failover model on cooldown: ${m.model.displayName} (${m.provider.type}) - ${cooldown?.reason || "provider balance cooldown"}`);
         return false;

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

@@ -1,11 +1,10 @@
 import { isExplicitDestructiveIntent } from "@/lib/ai/canvas-agent-runtime/capability-access";
 import { inferVideoTaskRequirements } from "@/lib/ai/canvas-agent-runtime/video-protocol";
 import { createLogger } from "@/lib/observability/logger";
-import { trackRuntimeWork } from "@/lib/observability/active-work";
 import { geolocation } from "@vercel/functions";
 import {
   convertToModelMessages,
-  createUIMessageStream as createAiUIMessageStream,
+  createUIMessageStream,
   generateText,
   smoothStream,
   stepCountIs,
@@ -337,7 +336,6 @@ import {
 } from "./_lib/image-media";
 import {
   buildImageFallbackCandidates,
-  countChatMessageImageInputs,
   generateImageWithFailoverCandidate,
   getImageCrossProviderCandidates,
   IMAGE_FAILOVER_PROVIDER_ALLOWLIST,
@@ -346,8 +344,6 @@ import {
   setImageFallbackModelCooldown,
   shouldCooldownImageFallbackModel,
 } from "./_lib/image-failover";
-import { isImageModelBalanceBlocked, resolveConfiguredImageBalanceFallback } from "@/lib/ai/runtime/image-balance";
-import { isProviderBalanceError } from "@/lib/request-error";
 import {
   buildAgentSceneWorkflowPrompt,
   buildAgentSlotPrompt,
@@ -426,11 +422,7 @@ 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)) });
 
 const INTERNAL_IMAGE_GENERATION_FAILURE_PATTERN =
   /生成图片失败|图片生成失败|未找到图片数据|未解析到图片|模型未返回生成图片|图片数据不可用|未返回可用图片/i;
@@ -448,6 +440,16 @@ 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) {
+  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";
+  }
+  return publicMessage;
+}
+
+
 const AGENT_REPLACEMENT_PARALLEL_WORKER_COUNT = Math.max(
   1,
   Math.min(8, Number(process.env.AGENT_REPLACEMENT_PARALLEL_WORKER_COUNT || 6) || 6),
@@ -5680,7 +5682,6 @@ export async function POST(request: Request) {
             writeImageGenerationStatusChunk(
               writer,
               {
-                userMessageId: message.id,
                 phase: "processing",
                 modelName: resolvedModelRef,
                 imageCount: replacementReferences.length,
@@ -6023,7 +6024,6 @@ export async function POST(request: Request) {
                           writeImageGenerationStatusChunk(
                             writer,
                             {
-                              userMessageId: message.id,
                               phase:
                                 queueStatus.status === "running"
                                   ? "processing"
@@ -6179,7 +6179,6 @@ export async function POST(request: Request) {
             writeImageGenerationStatusChunk(
               writer,
               {
-                userMessageId: message.id,
                 phase: successCount > 0 ? "completed" : "failed",
                 modelName: resolvedModelDisplayName,
                 imageCount: successCount,
@@ -6412,7 +6411,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   modelName:
                     selectedAgentPreset.defaultModel?.displayName ||
@@ -6964,7 +6962,6 @@ export async function POST(request: Request) {
                             writeImageGenerationStatusChunk(
                               writer,
                               {
-                                userMessageId: message.id,
                                 phase:
                                   queueStatus.status === "running"
                                     ? "processing"
@@ -7290,7 +7287,6 @@ export async function POST(request: Request) {
                         writeImageGenerationStatusChunk(
                           writer,
                           {
-                            userMessageId: message.id,
                             phase:
                               queueStatus.status === "running"
                                 ? "processing"
@@ -7519,7 +7515,6 @@ export async function POST(request: Request) {
                           writeImageGenerationStatusChunk(
                             writer,
                             {
-                              userMessageId: message.id,
                               phase:
                                 queueStatus.status === "running"
                                   ? "processing"
@@ -7838,7 +7833,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: successCount > 0 ? "completed" : "failed",
                   modelName:
                     selectedAgentPreset.defaultModel?.displayName ||
@@ -8048,7 +8042,6 @@ export async function POST(request: Request) {
             writeImageGenerationStatusChunk(
               writer,
               {
-                userMessageId: message.id,
                 phase: "processing",
                 providerType: requestedModelProviderType,
                 modelName: finalModelId,
@@ -8087,7 +8080,6 @@ export async function POST(request: Request) {
                   writeImageGenerationStatusChunk(
                     writer,
                     {
-                      userMessageId: message.id,
                       phase: "processing",
                       ...directImageStatusPayload,
                     },
@@ -8180,7 +8172,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: requestedModelProviderType,
                   modelName: directImageResult.model,
@@ -8201,16 +8192,42 @@ 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) {
@@ -8752,19 +8769,6 @@ export async function POST(request: Request) {
       }
     }
 
-    if (/^[0-9a-f-]{36}$/i.test(finalModelId)) {
-      const requested = await getAiModelById({ id: finalModelId });
-      if (requested?.supportsImageGen && isImageModelBalanceBlocked(requested)) {
-        const replacement = resolveConfiguredImageBalanceFallback(requested, await getEnabledAiModelsWithProvider(), {
-          imageSize: effectiveImageGenerationParams.imageSize,
-          aspectRatio: effectiveImageGenerationParams.aspectRatio,
-          referenceImageCount: countChatMessageImageInputs(uiMessagesForModel.filter(item => item.role === "user").slice(-1)),
-        });
-        if (!replacement) return new ChatSDKError("bad_request:api", "当前生图线路余额不足，已暂停新请求；请切换可用模型，已有任务和图片会保留。").toResponse();
-        finalModelId = replacement.model.id;
-      }
-    }
-
     // 检查是否是 UUID 格式（数据库中的模型 ID）
     const isUUID =
       /^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(
@@ -9172,7 +9176,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   providerType: (languageModel as any).provider,
                   modelName: currentModelConfig?.displayName || actualModelId,
@@ -9260,7 +9263,6 @@ 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 +9337,6 @@ 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 +9404,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: (languageModel as any).provider,
                   modelName: usedModelDisplayName,
@@ -9468,14 +9468,6 @@ 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 +9545,6 @@ 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 +9610,46 @@ 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,
+            writeAssistantTextChunk(
-              messageId: generateUUID(), error: finalError, label: "gemini:error",
+              writer,
+              "图片生成失败，请稍后重试",
+              "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: "图片生成失败，请稍后重试" }],
+                    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 +9847,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "queued",
                   providerType: "fal-image",
                   modelName: modelDisplayName,
@@ -9931,7 +9953,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   providerType: (languageModel as any).provider,
                   modelName: alibabaModelConfig?.displayName || actualModelId,
@@ -9981,10 +10002,7 @@ export async function POST(request: Request) {
 	              
 	              let fallbackSuccess = false;
               const triedFallbackModelIds = new Set<string>();
-              const balanceBlockedProviders = new Set<string>();
-              if (isProviderBalanceError(primaryError) && currentModelEntry?.provider.id) balanceBlockedProviders.add(currentModelEntry.provider.id);
               for (const candidate of fallbackCandidates) {
-                if (balanceBlockedProviders.has(candidate.provider.id)) continue;
                 try {
                   triedFallbackModelIds.add(String(candidate.model.id || ""));
                   chatApiLogger.info(`[Chat API] 🔄 Alibaba fallback model: ${candidate.model.displayName} (${candidate.provider.type})`);
@@ -10007,7 +10025,6 @@ export async function POST(request: Request) {
                   chatApiLogger.info(`[Chat API] ✅ Alibaba fallback model ${fallbackResult.displayName} succeeded!`);
                   break;
                 } catch (fallbackError) {
-                  if (isProviderBalanceError(fallbackError)) balanceBlockedProviders.add(candidate.provider.id);
                   const fallbackErrorMessage = normalizeFailoverErrorMessage(fallbackError);
                   if (shouldCooldownImageFallbackModel(fallbackErrorMessage)) {
                     setImageFallbackModelCooldown(candidate.model.id, fallbackErrorMessage);
@@ -10029,7 +10046,6 @@ 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;
                 }
               }
 
@@ -10057,10 +10073,9 @@ export async function POST(request: Request) {
                   currentModelKey: actualModelId,
                   currentProviderId: alibabaModelConfig?.providerId,
                   providerPriority,
-                }).filter((candidate) => !triedFallbackModelIds.has(String(candidate.model.id || "")) && !balanceBlockedProviders.has(candidate.provider.id));
+                }).filter((candidate) => !triedFallbackModelIds.has(String(candidate.model.id || "")));
 
                 for (const candidate of crossProviderCandidates) {
-                  if (balanceBlockedProviders.has(candidate.provider.id)) continue;
                   try {
                     triedFallbackModelIds.add(String(candidate.model.id || ""));
                     chatApiLogger.info(`[Chat API] 🔁 Cross-provider failover attempt: ${candidate.model.displayName} (${candidate.provider.type})`);
@@ -10142,7 +10157,6 @@ export async function POST(request: Request) {
                     chatApiLogger.info(`[Chat API] ✅ Cross-provider failover succeeded: ${candidate.model.displayName} (${candidate.provider.type})`);
                     break;
                   } catch (crossError) {
-                    if (isProviderBalanceError(crossError)) balanceBlockedProviders.add(candidate.provider.id);
                     const crossErrorMessage = normalizeFailoverErrorMessage(crossError);
                     if (shouldCooldownImageFallbackModel(crossErrorMessage)) {
                       setImageFallbackModelCooldown(candidate.model.id, crossErrorMessage);
@@ -10164,7 +10178,6 @@ 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 +10245,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: (languageModel as any).provider,
                   modelName: usedModelDisplayName,
@@ -10297,10 +10309,43 @@ 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);
-              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 +10474,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "processing",
                   providerType: "volcano-vision",
                   modelName: volcanoModelConfig?.displayName || actualModelId,
@@ -10475,7 +10519,6 @@ 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 +10685,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 writer,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: "volcano-vision",
                   modelName: usedModelDisplayName,
@@ -10707,10 +10749,43 @@ 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,
+            writeAssistantTextChunk(
-              messageId: generateUUID(), error, label: "volcano:error",
+              writer,
+              "图片生成失败，请稍后重试",
+              "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: "图片生成失败，请稍后重试" }],
+                    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 +11358,6 @@ 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 +11449,6 @@ 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 +11620,6 @@ export async function POST(request: Request) {
               writeImageGenerationStatusChunk(
                 dataStream as unknown as StreamWriter,
                 {
-                  userMessageId: message.id,
                   phase: "completed",
                   providerType: resolvedProviderType || providerType,
                   modelName: usedModelDisplayName,
@@ -11607,10 +11679,54 @@ 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);
-              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/(chat)/featured/page.tsx

@@ -8,8 +8,6 @@ import { ArrowLeft, Download, ChevronLeft, ChevronRight, ChevronsLeft, ChevronsR
 import { Input } from "@/components/ui/input";
 import Image from "next/image";
 import { formatBeijingTime } from "@/lib/utils";
-import { toast } from "sonner";
-import { downloadOriginalImage, getCanvasImageDownloadErrorMessage } from "@/lib/client/canvas-image-download";
 
 type FeaturedImage = {
   id: string;
@@ -76,11 +74,18 @@ export default function FeaturedPage() {
 
   const handleDownload = async (url: string, prompt: string) => {
     try {
-      await downloadOriginalImage({ url, name: "featured-image" });
+      const response = await fetch(url);
-      toast.success("原图已开始下载");
+      const blob = await response.blob();
+      const blobUrl = window.URL.createObjectURL(blob);
+      const link = document.createElement("a");
+      link.href = blobUrl;
+      link.download = `featured-${Date.now()}.png`;
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      window.URL.revokeObjectURL(blobUrl);
     } catch (error) {
       console.error("Download failed:", error);
-      toast.error(getCanvasImageDownloadErrorMessage(error));
     }
   };
 

app/(chat)/gallery/page.tsx

@@ -1,5 +1,4 @@
 "use client";
-import { isRetiredStorageUrl, RETIRED_STORAGE_MESSAGE } from "@/lib/storage/retired-storage";
 
 import { useState, useEffect } from "react";
 import { useRouter } from "next/navigation";
@@ -13,7 +12,6 @@ import { requestLongTaskResult } from "@/lib/client/long-task";
 import { buildImageProxyUrl, getImageDownloadExtension } from "@/lib/image-delivery";
 import { inferOriginalImageUrl } from "@/lib/image-url";
 import { formatBeijingTime } from "@/lib/utils";
-import { downloadOriginalImage, getCanvasImageDownloadErrorMessage } from "@/lib/client/canvas-image-download";
 
 type GalleryImage = {
   id: string;
@@ -60,7 +58,7 @@ function buildGalleryDownloadFilename(url: string, alt: string, contentType: str
     }
   }
 
-  return `${safeBase}.${getImageDownloadExtension(contentType) || extension}`;
+  return `${safeBase}-${Date.now()}.${getImageDownloadExtension(contentType) || extension}`;
 }
 
 export default function GalleryPage() {
@@ -120,11 +118,25 @@ export default function GalleryPage() {
       const parsed = new URL(originalUrl, window.location.origin);
       const source = parsed.pathname === "/api/image-proxy" ? originalUrl : inferOriginalImageUrl(originalUrl);
 
-      await downloadOriginalImage({ url: source, name: buildGalleryDownloadFilename(originalUrl, alt, "") });
+      const response = await fetch(
+        buildImageProxyUrl(source, { delivery: "original" })
+      );
+      if (!response.ok) {
+        throw new Error(`download failed: ${response.status}`);
+      }
+      const blob = await response.blob();
+      const blobUrl = window.URL.createObjectURL(blob);
+      const link = document.createElement("a");
+      link.href = blobUrl;
+      link.download = buildGalleryDownloadFilename(originalUrl, alt, blob.type);
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      window.setTimeout(() => window.URL.revokeObjectURL(blobUrl), 1000);
       toast.success("图片已开始下载");
     } catch (error) {
       console.error("Download failed:", error);
-      toast.error(getCanvasImageDownloadErrorMessage(error));
+      toast.error(error instanceof Error && error.message.includes("无法确认原图") ? error.message : "原图下载失败，请重试");
     }
   };
 
@@ -304,12 +316,7 @@ export default function GalleryPage() {
         <>
           <div className="flex-1 overflow-y-auto">
             <div className="flex flex-wrap justify-center gap-6 px-4">
-              {images.map((img) => isRetiredStorageUrl(img.url) ? (
+              {images.map((img) => (
-                <div key={img.id} className="flex h-[270px] w-[200px] shrink-0 flex-col justify-center rounded-lg border bg-muted p-4 text-center text-sm text-muted-foreground">
-                  <p>{RETIRED_STORAGE_MESSAGE}</p>
-                  <p className="mt-3 line-clamp-3 text-xs">{img.alt}</p>
-                </div>
-              ) : (
                 <div
                   key={img.id}
                   className="group relative cursor-pointer rounded-lg border bg-muted overflow-hidden transition-all hover:shadow-lg hover:scale-105"
@@ -318,7 +325,7 @@ export default function GalleryPage() {
                 >
                   <div className="relative w-full h-full">
                     <Image
-                      src={isRetiredStorageUrl(img.thumbnailUrl) ? img.url : img.thumbnailUrl || img.url}
+                      src={img.thumbnailUrl || img.url}
                       alt={img.alt}
                       width={200}
                       height={270}

app/api/admin/ai-model-health/route.ts

@@ -1,10 +1,8 @@
 import { z } from "zod";
 import { requireAdmin } from "@/lib/middleware/admin";
 import { ChatSDKError } from "@/lib/errors";
-import { db } from "@/lib/db";
-import { aiModelHealthEvent } from "@/lib/db/schema";
-import { and, desc, eq, sql } from "drizzle-orm";
 import {
+  listAiModelHealthEvents,
   restoreAiModelHealth,
 } from "@/lib/ai/runtime/model-health";
 
@@ -17,30 +15,14 @@ export async function GET(request: Request) {
     await requireAdmin();
 
     const { searchParams } = new URL(request.url);
-    const modelId = searchParams.get("modelId");
+    const modelId = searchParams.get("modelId") || undefined;
-    const providerId = searchParams.get("providerId");
+    const limit = Number(searchParams.get("limit") || 80);
-    const rawLimit = Number(searchParams.get("limit") || 20);
+    const events = await listAiModelHealthEvents({
-    const limit = Number.isFinite(rawLimit) ? Math.max(1, Math.min(200, Math.floor(rawLimit))) : 20;
+      modelId,
-    const rawPage = Number(searchParams.get("page") || 1);
+      limit: Number.isFinite(limit) ? limit : 80,
-    const page = Number.isFinite(rawPage) ? Math.max(1, Math.floor(rawPage)) : 1;
+    });
-    const filters = [];
+
-    if (modelId) filters.push(eq(aiModelHealthEvent.modelId, modelId));
+    return Response.json({ events });
-    if (providerId) filters.push(eq(aiModelHealthEvent.providerId, providerId));
-    if (searchParams.get("eventType")) filters.push(eq(aiModelHealthEvent.eventType, searchParams.get("eventType")!));
-    const start = searchParams.get("startDate");
-    const end = searchParams.get("endDate");
-    if (start && /^\d{4}-\d{2}-\d{2}$/.test(start)) filters.push(sql`${aiModelHealthEvent.createdAt}>=${start}::date`);
-    if (end && /^\d{4}-\d{2}-\d{2}$/.test(end)) filters.push(sql`${aiModelHealthEvent.createdAt}<${end}::date+interval '1 day'`);
-    const events = await db.select({
-      id: aiModelHealthEvent.id, modelId: aiModelHealthEvent.modelId, modelDisplayName: aiModelHealthEvent.modelDisplayName,
-      modelRuntimeId: aiModelHealthEvent.modelRuntimeId, providerName: aiModelHealthEvent.providerName,
-      providerId: aiModelHealthEvent.providerId, eventType: aiModelHealthEvent.eventType,
-      errorMessage: aiModelHealthEvent.errorMessage, elapsedMs: aiModelHealthEvent.elapsedMs,
-      consecutiveFailures: aiModelHealthEvent.consecutiveFailures, autoDisabled: aiModelHealthEvent.autoDisabled,
-      counted: aiModelHealthEvent.counted, createdAt: aiModelHealthEvent.createdAt,
-    }).from(aiModelHealthEvent).where(and(...filters)).orderBy(desc(aiModelHealthEvent.createdAt), desc(aiModelHealthEvent.id))
-      .limit(limit + 1).offset((page - 1) * limit);
-    return Response.json({ events: events.slice(0, limit), hasMore: events.length > limit, page });
   } catch (error) {
     if (error instanceof ChatSDKError) {
       return error.toResponse();

app/api/admin/ai-models/route.ts

@@ -1,10 +1,9 @@
 import { z } from "zod";
-import { db } from "@/lib/db";
-import { aiModel, aiProvider } from "@/lib/db/schema";
-import { eq } from "drizzle-orm";
 import { requireAdmin } from "@/lib/middleware/admin";
 import {
+  getAllAiModels,
   getAiModelById,
+  getAiModelsByProviderId,
   createAiModel,
   updateAiModel,
   deleteAiModel,
@@ -155,14 +154,8 @@ export async function GET(request: Request) {
     const id = searchParams.get("id");
     const providerId = searchParams.get("providerId");
 
-    if (searchParams.get("view") === "options") {
-      const models = await db.select({ id: aiModel.id, modelId: aiModel.modelId, displayName: aiModel.displayName,
-        providerName: aiProvider.name }).from(aiModel).leftJoin(aiProvider, eq(aiModel.providerId, aiProvider.id));
-      return Response.json({ models: sortModelsForDisplay(models) });
-    }
-
     if (id) {
-      const model = await db.query.aiModel.findFirst({ where: eq(aiModel.id, id) });
+      const model = await getAiModelById({ id });
       if (!model) {
         return new ChatSDKError("bad_request:api", "Model not found").toResponse();
       }
@@ -170,19 +163,12 @@ export async function GET(request: Request) {
     }
 
     if (providerId) {
-      const models = await db.select().from(aiModel).where(eq(aiModel.providerId, providerId));
+      const models = await getAiModelsByProviderId({ providerId });
       return Response.json({ models: sortModelsForDisplay(models.map(normalizeModel)) });
     }
 
-    const models = await db.select().from(aiModel);
+    const models = await getAllAiModels();
-    const normalized = models.map(normalizeModel);
+    return Response.json({ models: sortModelsForDisplay(models.map(normalizeModel)) });
-    const output = searchParams.get("view") === "summary" ? normalized.map(model => {
-      const { capabilities, defaultParams, imageGenConfig, description, ...summary } = model;
-      const fields = ["kind", "mediaType", "modelType", "outputType", "supportedModes"];
-      return { ...summary, healthLastError: summary.healthLastError?.slice(0, 1200),
-        capabilities: Object.fromEntries(fields.filter(key => capabilities?.[key] !== undefined).map(key => [key, capabilities[key]])) };
-    }) : normalized;
-    return Response.json({ models: sortModelsForDisplay(output) });
   } catch (error) {
     if (error instanceof ChatSDKError) {
       return error.toResponse();

app/api/admin/images/route.ts

@@ -1,31 +1,237 @@
 import { NextRequest, NextResponse } from "next/server";
 import { db } from "@/lib/db";
-import { generatedImage, user } from "@/lib/db/schema";
+import { chat, generatedImage, message, user } from "@/lib/db/schema";
-import { eq } from "drizzle-orm";
+import { eq, desc, sql, and, gte, lte, like, or, isNotNull } from "drizzle-orm";
 import { auth } from "@/app/(auth)/auth";
-import { requireAdmin } from "@/lib/middleware/admin";
+
-import { ChatSDKError } from "@/lib/errors";
+function extractVideoUrlFromParts(parts: unknown): string | null {
-import { mediaRecordsQuery, parseMediaQuery } from "@/lib/admin/media-records";
+  const text = Array.isArray(parts)
-import { resolveArchivedImageUrls } from "@/lib/storage/image-archive-db";
+    ? parts
+        .map((part) => (part && typeof part === "object" && "text" in part ? String((part as any).text || "") : ""))
+        .join("\n")
+    : typeof parts === "string"
+      ? parts
+      : "";
+
+  if (!text) return null;
+
+  const htmlMatch = text.match(/<video[^>]+src="([^"]+)"/i);
+  if (htmlMatch?.[1]) return htmlMatch[1];
+
+  const markdownMatch = text.match(/\[[^\]]*]\((https?:\/\/[^)\s]+\.mp4(?:\?[^)\s]*)?)\)/i);
+  if (markdownMatch?.[1]) return markdownMatch[1];
+
+  const plainMatch = text.match(/(https?:\/\/[^\s"'<>]+\.mp4(?:\?[^\s"'<>]+)?)/i);
+  return plainMatch?.[1] || null;
+}
 
 export async function GET(request: NextRequest) {
   try {
-    const session = await requireAdmin();
+    const session = await auth();
-    const operator = await db.query.user.findFirst({ where: eq(user.id, session.user.id) });
+    
-    if (operator?.role !== "admin") return NextResponse.json({ error: "Forbidden" }, { status: 403 });
+    if (!session?.user?.id) {
-    const query = parseMediaQuery(request.nextUrl.searchParams);
+      return NextResponse.json({ error: "Unauthorized" }, { status: 401 });
-    if (query.startDate && query.endDate && query.startDate > query.endDate) {
-      return NextResponse.json({ error: "开始日期不能晚于结束日期" }, { status: 400 });
     }
-    const [result] = await db.execute(mediaRecordsQuery(query));
+
-    const images = await resolveArchivedImageUrls(result.records);
+    // 检查是否为管理员
-    const total = Number(result.total);
+    const currentUser = await db.query.user.findFirst({
-    return NextResponse.json({ images, pagination: { page: query.page, pageSize: query.pageSize, total,
+      where: eq(user.id, session.user.id),
-      totalPages: Math.ceil(total / query.pageSize), totalImages: Number(result.totalImages), totalVideos: Number(result.totalVideos) } });
+    });
+
+    if (currentUser?.role !== "admin") {
+      return NextResponse.json({ error: "Forbidden" }, { status: 403 });
+    }
+
+    // 获取查询参数
+    const searchParams = request.nextUrl.searchParams;
+    const page = Number.parseInt(searchParams.get("page") || "1");
+    const pageSize = Number.parseInt(searchParams.get("pageSize") || "200");
+    const offset = (page - 1) * pageSize;
+    const search = searchParams.get("search") || "";
+    const startDate = searchParams.get("startDate");
+    const endDate = searchParams.get("endDate");
+
+    // 构建查询条件
+    const imageConditions = [];
+    const videoConditions = [
+      eq(message.role, "assistant"),
+      or(
+        isNotNull(message.temporaryVideoUrl),
+        isNotNull(message.permanentVideoUrl),
+        sql`${message.parts}::text ILIKE '%<video%'`,
+        sql`${message.parts}::text ILIKE '%.mp4%'`
+      ),
+    ];
+    if (search) {
+      // 搜索用户名或邮箱
+      const matchingUsers = await db
+        .select({ id: user.id })
+        .from(user)
+        .where(or(
+          like(user.name, `%${search}%`),
+          like(user.email, `%${search}%`)
+        ));
+      
+      if (matchingUsers.length > 0) {
+        const matchedUserIds = matchingUsers.map((u) => u.id);
+        imageConditions.push(
+          sql`${generatedImage.userId} IN (${sql.join(matchedUserIds.map((id) => sql`${id}`), sql`, `)})`
+        );
+        videoConditions.push(
+          sql`${chat.userId} IN (${sql.join(matchedUserIds.map((id) => sql`${id}`), sql`, `)})`
+        );
+      } else {
+        // 没有匹配的用户，返回空结果
+        return NextResponse.json({
+          images: [],
+          pagination: { page, pageSize, total: 0, totalPages: 0 }
+        });
+      }
+    }
+
+    if (startDate) {
+      const start = new Date(startDate);
+      imageConditions.push(gte(generatedImage.createdAt, start));
+      videoConditions.push(gte(message.createdAt, start));
+    }
+
+    if (endDate) {
+      const end = new Date(endDate);
+      end.setHours(23, 59, 59, 999);
+      imageConditions.push(lte(generatedImage.createdAt, end));
+      videoConditions.push(lte(message.createdAt, end));
+    }
+
+    const imageWhereClause = imageConditions.length > 0 ? and(...imageConditions) : undefined;
+    const videoWhereClause = videoConditions.length > 0 ? and(...videoConditions) : undefined;
+
+    // 查询图片总数
+    const imageCountResult = await db
+      .select({ count: sql<number>`count(*)::int` })
+      .from(generatedImage)
+      .where(imageWhereClause);
+
+    // 查询视频总数
+    const videoCountResult = await db
+      .select({ count: sql<number>`count(*)::int` })
+      .from(message)
+      .innerJoin(chat, eq(message.chatId, chat.id))
+      .where(videoWhereClause);
+
+    const totalImages = imageCountResult[0]?.count || 0;
+    const totalVideos = videoCountResult[0]?.count || 0;
+    const total = totalImages + totalVideos;
+    const totalPages = Math.ceil(total / pageSize);
+
+    const fetchLimit = Math.max(page * pageSize, pageSize);
+
+    // 查询图片列表（包含用户信息）
+    const imageRows = await db
+      .select({
+        id: generatedImage.id,
+        userId: generatedImage.userId,
+        userName: user.name,
+        userEmail: user.email,
+        userDepartment: user.department,
+        thumbnailUrl: generatedImage.thumbnailUrl,
+        originalUrl: generatedImage.originalUrl,
+        imageSize: generatedImage.imageSize,
+        prompt: generatedImage.prompt,
+        modelId: generatedImage.modelId,
+        isFeatured: generatedImage.isFeatured,
+        featuredCategory: generatedImage.featuredCategory,
+        featuredAt: generatedImage.featuredAt,
+        createdAt: generatedImage.createdAt,
+        chatId: generatedImage.chatId,
+        recordType: sql<"image">`'image'`,
+        videoUrl: sql<string | null>`null`,
+      })
+      .from(generatedImage)
+      .leftJoin(user, eq(generatedImage.userId, user.id))
+      .where(imageWhereClause)
+      .orderBy(desc(generatedImage.createdAt))
+      .limit(fetchLimit);
+
+    // 查询视频列表（来自消息表）
+    const videoRows = await db
+      .select({
+        id: message.id,
+        userId: chat.userId,
+        userName: user.name,
+        userEmail: user.email,
+        userDepartment: user.department,
+        temporaryVideoUrl: message.temporaryVideoUrl,
+        permanentVideoUrl: message.permanentVideoUrl,
+        parts: message.parts,
+        videoMetadata: message.videoMetadata,
+        createdAt: message.createdAt,
+        chatId: message.chatId,
+      })
+      .from(message)
+      .innerJoin(chat, eq(message.chatId, chat.id))
+      .leftJoin(user, eq(chat.userId, user.id))
+      .where(videoWhereClause)
+      .orderBy(desc(message.createdAt))
+      .limit(fetchLimit);
+
+    const normalizedVideos = videoRows
+      .map((item) => {
+        const metadata = (item.videoMetadata as Record<string, any> | null) || {};
+        const videoUrl =
+          item.permanentVideoUrl ||
+          item.temporaryVideoUrl ||
+          extractVideoUrlFromParts(item.parts);
+
+        if (!videoUrl) return null;
+
+        const resolution =
+          typeof metadata.resolution === "string" && metadata.resolution.trim()
+            ? metadata.resolution.trim()
+            : null;
+        const prompt =
+          typeof metadata.prompt === "string" && metadata.prompt.trim()
+            ? metadata.prompt.trim()
+            : null;
+        const modelId =
+          typeof metadata.model === "string" && metadata.model.trim()
+            ? metadata.model.trim()
+            : null;
+
+        return {
+          id: `video-${item.id}`,
+          sourceMessageId: item.id,
+          userId: item.userId,
+          userName: item.userName,
+          userEmail: item.userEmail,
+          userDepartment: item.userDepartment,
+          thumbnailUrl: videoUrl,
+          originalUrl: videoUrl,
+          videoUrl,
+          imageSize: resolution,
+          prompt,
+          modelId,
+          isFeatured: false,
+          featuredCategory: null,
+          featuredAt: null,
+          createdAt: item.createdAt,
+          chatId: item.chatId,
+          recordType: "video" as const,
+        };
+      })
+      .filter((item): item is NonNullable<typeof item> => Boolean(item));
+
+    const merged = [...imageRows, ...normalizedVideos].sort(
+      (a, b) => new Date(b.createdAt).getTime() - new Date(a.createdAt).getTime()
+    );
+    const images = merged.slice(offset, offset + pageSize);
+
+    return NextResponse.json({
+      images,
+      pagination: { page, pageSize, total, totalPages, totalImages, totalVideos }
+    });
   } catch (error) {
-    if (error instanceof ChatSDKError) return error.toResponse();
+    console.error("[Admin Images API] Error:", error);
-    console.error("[Admin Images API] GET failed", error);
+    return NextResponse.json({ error: "Failed to fetch images" }, { status: 500 });
-    return NextResponse.json({ error: "记录加载失败，请重试" }, { status: 500 });
   }
 }
 

app/api/admin/media-tasks/route.ts

@@ -1,31 +0,0 @@
-import { NextRequest, NextResponse } from "next/server";
-import { db } from "@/lib/db";
-import { sql } from "drizzle-orm";
-import { requireAdmin } from "@/lib/middleware/admin";
-import { ChatSDKError } from "@/lib/errors";
-import { parseMediaQuery } from "@/lib/admin/media-records";
-
-export async function GET(request: NextRequest) {
-  try {
-    await requireAdmin();
-    const q = parseMediaQuery(request.nextUrl.searchParams);
-    const status = request.nextUrl.searchParams.get("status") || "all";
-    const filters = [sql`true`];
-    if (q.search)
-      filters.push(sql`(u.name ilike ${`%${q.search}%`} or u.email ilike ${`%${q.search}%`})`);
-    if (["pending", "running", "failed", "succeeded"].includes(status))
-      filters.push(sql`t.status=${status}`);
-    if (q.startDate) filters.push(sql`t."createdAt">=${q.startDate}::date - interval '8 hours'`);
-    if (q.endDate) filters.push(sql`t."createdAt"<${q.endDate}::date+interval '16 hours'`);
-    const [result] = await db.execute(sql`with filtered as not materialized (
-      select t.id,u.name as "userName",t.status,t."createdAt"+interval '8 hours' as "createdAt",t.error,coalesce(t.request->>'modelId',t.request->>'model') as model,
-        extract(epoch from (t."completedAt"-t."startedAt"))*1000 as "elapsedMs"
-      from "CanvasImageTask" t left join "User" u on u.id=t."userId" where ${sql.join(filters, sql` and `)}
-    ) select (select count(*)::int from filtered) as total,
-      coalesce((select jsonb_agg(p) from (select * from filtered order by "createdAt" desc,id desc limit ${q.pageSize} offset ${(q.page - 1) * q.pageSize}) p),'[]'::jsonb) as tasks`);
-    return NextResponse.json(result);
-  } catch (error) {
-    if (error instanceof ChatSDKError) return error.toResponse();
-    return NextResponse.json({ error: "任务记录加载失败，请重试" }, { status: 500 });
-  }
-}

app/api/admin/vip98k-models/route.ts

@@ -106,22 +106,6 @@ export async function POST(request: Request) {
         ? catalogPresets.filter((preset) => existingModelIds.has(preset.modelId))
         : catalogPresets;
 
-    if (body?.dryRun === true) {
-      const catalogIds = new Set(catalogPresets.map(preset => preset.modelId));
-      const fields = ["displayName", "description", "supportsVision", "supportsImageGen", "isHidden", "sortOrder", "capabilities", "defaultParams", "imageGenConfig"] as const;
-      const added = presets.filter(preset => !existingModelIds.has(preset.modelId)).map(preset => ({ modelId: preset.modelId, displayName: preset.displayName }));
-      const updated = presets.flatMap(preset => {
-        const existing = existingModels.find(model => model.modelId === preset.modelId);
-        if (!existing) return [];
-        const changedFields: string[] = fields.filter(field => preset[field] !== undefined && JSON.stringify(existing[field]) !== JSON.stringify(preset[field]));
-        if (existing.avatarUrl) changedFields.push("avatarUrl");
-        if (requestedModelIds !== null && !existing.isEnabled) changedFields.push("isEnabled");
-        return changedFields.length ? [{ modelId: preset.modelId, displayName: existing.displayName, changedFields }] : [];
-      });
-      const disabled = requestedModelIds === null ? existingModels.filter(model => !catalogIds.has(model.modelId) && (model.isEnabled || !model.isHidden)).map(model => ({ modelId: model.modelId, displayName: model.displayName })) : [];
-      return NextResponse.json({ preview: { added, updated, disabled }, total: catalogPresets.length });
-    }
-
     const addedModels: AiModel[] = [];
     const updatedModels: AiModel[] = [];
     const disabledModels: AiModel[] = [];

app/api/agent-projects/route.ts

@@ -1,6 +1,5 @@
 import { NextRequest, NextResponse } from "next/server";
-import { and, desc, eq } from "drizzle-orm";
+import { desc, eq } from "drizzle-orm";
-import { z } from "zod";
 import { auth } from "@/app/(auth)/auth";
 import { db } from "@/lib/db";
 import { canvasProject } from "@/lib/db/schema";
@@ -57,20 +56,14 @@ export async function POST(request: NextRequest) {
     }
 
     const body = await request.json().catch(() => ({}));
-    const requestedId = body.id === undefined ? undefined : z.string().uuid().safeParse(body.id);
-    if (requestedId && !requestedId.success) {
-      return NextResponse.json({ success: false, error: "项目编号无效" }, { status: 400 });
-    }
-    const id = requestedId?.data;
     const title = String(body.title || "").trim() || "未命名生图项目";
     const description = String(body.description || "").trim() || null;
     const thumbnail = String(body.thumbnail || "").trim() || null;
     const projectState = normalizeAgentGenerationProjectPersistedState(body.projectState);
 
-    const [insertedProject] = await db
+    const [project] = await db
       .insert(canvasProject)
       .values({
-        id,
         userId: session.user.id,
         title,
         description,
@@ -85,22 +78,8 @@ export async function POST(request: NextRequest) {
           agentProjectState: projectState,
         } as any,
       })
-      .onConflictDoNothing({ target: canvasProject.id })
       .returning();
 
-    const project = insertedProject || (id ? (await db
-      .select()
-      .from(canvasProject)
-      .where(and(
-        eq(canvasProject.id, id),
-        eq(canvasProject.userId, session.user.id),
-        eq(canvasProject.workspaceType, "agent")
-      ))
-      .limit(1))[0] : undefined);
-    if (!project) {
-      return NextResponse.json({ success: false, error: "项目编号不可用，请重试" }, { status: 409 });
-    }
-
     return NextResponse.json({ success: true, data: mapAgentProjectRow(project) });
   } catch (error) {
     console.error("[AgentProjects API] 创建项目失败:", error);

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/3d/model-proxy/route.ts

@@ -1,5 +1,4 @@
 import { NextResponse } from "next/server";
-import { isRetiredStorageUrl, normalizeLegacyAliyunStorageUrl, RETIRED_STORAGE_MESSAGE } from "@/lib/storage/retired-storage";
 import { auth } from "@/app/(auth)/auth";
 import { buildThreeAssetUrl } from "@/lib/canvas/three-asset-url";
 
@@ -13,6 +12,7 @@ const ALLOWED_MODEL_HOST_DOMAINS = [
   "tripo3d.ai",
   "tripo3d.com",
   "worldlabs.ai",
+  "s3.1080p.hk",
   "img.yydd.ai",
   "scqny.jiansun.vip",
   "blob.vercel-storage.com",
@@ -25,6 +25,7 @@ const ALLOWED_MODEL_HOST_DOMAINS = [
 
 const ALLOWED_HTTP_MODEL_HOST_DOMAINS = [
   "bbyy.ai",
+  "s3.1080p.hk",
   "img.yydd.ai",
 ];
 
@@ -164,9 +165,6 @@ async function handleRequest(request: Request, method: "GET" | "HEAD") {
 
     const { searchParams } = new URL(request.url);
     const rawUrl = String(searchParams.get("url") || "").trim();
-    if (isRetiredStorageUrl(rawUrl)) {
-      return NextResponse.json({ success: false, error: RETIRED_STORAGE_MESSAGE, code: "storage_retired" }, { status: 410 });
-    }
     if (!rawUrl) {
       return NextResponse.json({ success: false, error: "缺少 url 参数" }, { status: 400 });
     }
@@ -182,18 +180,6 @@ async function handleRequest(request: Request, method: "GET" | "HEAD") {
       return NextResponse.json({ success: false, error: "仅支持 http/https 模型地址" }, { status: 400 });
     }
 
-    if (normalizeLegacyAliyunStorageUrl(targetUrl.toString())) {
-      try {
-        const { resolveLegacyAliyunStorageUrl } = await import("@/lib/storage/image-archive-db");
-        targetUrl = new URL(await resolveLegacyAliyunStorageUrl(targetUrl.toString()));
-      } catch (error) {
-        if (error instanceof Error && error.message.includes("HTTP 410")) {
-          return NextResponse.json({ success: false, error: RETIRED_STORAGE_MESSAGE, code: "storage_retired" }, { status: 410 });
-        }
-        throw error;
-      }
-    }
-
     if (!isAllowedModelHost(targetUrl.hostname)) {
       return NextResponse.json({ success: false, error: "不允许的模型地址域名" }, { status: 403 });
     }

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

@@ -2,14 +2,12 @@ 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";
 import { executeCanvasCapabilityRuntime } from "@/lib/canvas/capabilities/runtime";
 import { getCanvasCapabilityTask } from "@/lib/canvas/capabilities/task-store";
 import { CanvasAgentMutationError } from "@/lib/canvas/agent-mutations";
-import { formatRequestFailure, getRequestFailureDetails } from "@/lib/request-error";
 
 export const dynamic = "force-dynamic";
 export const maxDuration = 600;
@@ -41,8 +39,7 @@ export async function GET(
       { status: 404 }
     );
   }
-  const failure = task.status === "failed" ? getRequestFailureDetails(task.error) : undefined;
+  return NextResponse.json({ success: true, task });
-  return NextResponse.json({ success: true, task: { ...task, failure, error: failure ? formatRequestFailure(failure, task.id) : task.error } });
 }
 
 export async function POST(
@@ -54,11 +51,9 @@ export async function POST(
     return NextResponse.json({ success: false, error: "未登录" }, { status: 401 });
   }
 
-  let requestId: string | undefined;
   try {
     const { id } = await params;
     const command = canvasCapabilityClientCommandSchema.parse(await request.json());
-    requestId = command.requestId;
     const result = await executeCanvasCapabilityRuntime({
       command,
       projectId: id,
@@ -72,9 +67,8 @@ export async function POST(
       error instanceof CanvasCapabilityRuntimeError ||
       error instanceof CanvasAgentMutationError
     ) {
-      const failure = getRequestFailureDetails(error);
       return NextResponse.json(
-        { success: false, error: formatRequestFailure(failure, requestId), code: error.code, failure, requestId },
+        { success: false, error: error.message, code: error.code },
         { status: error.status }
       );
     }
@@ -88,10 +82,10 @@ export async function POST(
         { status: 400 }
       );
     }
-    const failure = getRequestFailureDetails(error, "执行画布能力失败");
+    const message = error instanceof Error ? error.message : "执行画布能力失败";
     return NextResponse.json(
-      { success: false, error: formatRequestFailure(failure, requestId), failure, requestId },
+      { success: false, error: message },
-      { status: error instanceof RmbgServiceError ? error.status : 500 }
+      { status: 500 }
     );
   }
 }

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

@@ -207,11 +207,7 @@ export async function PUT(
           ),
         )
         .returning();
-      return NextResponse.json({
+      return NextResponse.json({ success: true, data: saved });
-        success: true,
-        data: saved,
-        previousCanvasRevision: existingProject?.updatedAt.toISOString() ?? null,
-      });
     });
   } catch (error) {
     console.error("更新/创建画布失败:", error);

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-image/route.ts

@@ -1,9 +1,5 @@
 import { resolveCanvasCdnDownload } from "@/lib/storage/canvas-cdn-download";
-import { isRetiredStorageUrl, RETIRED_STORAGE_MESSAGE } from "@/lib/storage/retired-storage";
+import { prepareImageArchiveDownload } from "@/lib/storage/image-download-preparation";
-import { scheduleImageDownloadPreparation } from "@/lib/storage/image-download-preparation";
-import { randomUUID } from "node:crypto";
-import { formatDownloadFailure, getDownloadFailure, type DownloadFailure } from "@/lib/canvas/download-error";
-import { createLogger } from "@/lib/observability/logger";
 import { after, NextRequest, NextResponse } from "next/server";
 import { auth } from "@/app/(auth)/auth";
 import { getDownloadPreparationQueue, type DownloadPreparationInput } from "@/lib/canvas/download-preparation";
@@ -16,22 +12,6 @@ import {
 
 export const runtime = "nodejs";
 export const maxDuration = 120;
-const logger = createLogger("canvas.download");
-
-function failed(failure: DownloadFailure, requestId: string) {
-  logger.warn("request_failed", { requestId, code: failure.code, status: failure.status });
-  return NextResponse.json({ success: false, error: formatDownloadFailure(failure, requestId), failure, requestId }, {
-    status: failure.status,
-    headers: { "Cache-Control": "no-store", ...(failure.status === 429 ? { "Retry-After": "3" } : {}) },
-  });
-}
-
-function preparing(requestId: string) {
-  return NextResponse.json({ delivery: "preparing", retryAfter: 2, requestId,
-    message: "正在准备原图，完成后将自动开始下载" }, {
-    status: 202, headers: { "Retry-After": "2", "Cache-Control": "no-store" },
-  });
-}
 
 async function prepareDownload(input: DownloadPreparationInput, signal: AbortSignal) {
   // A proxy candidate for the same original must not repeat the same slow
@@ -40,25 +20,22 @@ async function prepareDownload(input: DownloadPreparationInput, signal: AbortSig
     const source = extractImageProxySourceUrl(url) || url;
     return inferOriginalImageUrl(source) || source;
   }))];
-  let lastError: unknown;
+  for (let attempt = 0; attempt < 3; attempt++) {
-  for (let attempt = 0; attempt < 2; attempt++) {
     signal.throwIfAborted();
     for (const url of sources) {
       signal.throwIfAborted();
       const result = await fetchCanvasDownloadAsset({
         file: { url, name: "original" }, index: 0,
         requestOrigin: input.requestOrigin, cookie: input.cookie,
-        includeSequencePrefix: false, timeoutMs: 60_000, retryCount: 1, signal,
+        includeSequencePrefix: false, timeoutMs: 12_000, retryCount: 1, signal,
       });
       if (result.ok) return { buffer: result.bytes, contentType: result.contentType };
-      lastError = result.error;
     }
     // Each pass resolves the latest archive URL inside fetchCanvasDownloadAsset.
     // No AI/model request is involved and a completed source fetch is shared.
-    if (attempt < 1 && getDownloadFailure(lastError).retryable) await new Promise(resolve => setTimeout(resolve, 1_000));
+    if (attempt < 2) await new Promise(resolve => setTimeout(resolve, 1_000));
-    else break;
   }
-  throw new Error(String(lastError || "Original image sources unavailable"));
+  throw new Error("Original image sources unavailable");
 }
 
 function getRequestOrigin(request: NextRequest): string {
@@ -98,43 +75,27 @@ function resolveDownloadUrls(body: Record<string, unknown>, origin: string): str
 }
 
 export async function POST(request: NextRequest) {
-  const requestId = randomUUID();
   try {
     const session = await auth();
     if (!session?.user?.id) {
-      return failed(getDownloadFailure("未登录"), requestId);
+      return NextResponse.json({ success: false, error: "未登录" }, { status: 401 });
     }
 
     const body = (await request.json().catch(() => ({}))) as Record<string, unknown>;
     const requestOrigin = getRequestOrigin(request);
-    const candidates = resolveDownloadUrls(body, requestOrigin);
+    const urls = resolveDownloadUrls(body, requestOrigin);
-    if (candidates.length && candidates.every(isRetiredStorageUrl)) {
-      return failed(getDownloadFailure(RETIRED_STORAGE_MESSAGE), requestId);
-    }
-    const urls = candidates.filter(url => !isRetiredStorageUrl(url));
     const requestedUrls = [...urls];
     if (urls.length === 0) {
-      return failed(getDownloadFailure("图片地址无效"), requestId);
+      return NextResponse.json({ success: false, error: "图片地址无效" }, { status: 400 });
     }
 
     const name = sanitizeCanvasDownloadFileName(String(body.name || ""), "canvas-image");
     if (body.preferDirect === true) {
-      const { task, direct, canPrepareDirect } = await resolveCanvasCdnDownload(urls, `${name}.png`).catch((error) => {
+      const { task, direct } = await resolveCanvasCdnDownload(urls, `${name}.png`).catch(() => ({ task: null, direct: null }));
-        logger.warn("cdn_lookup_failed", error, { requestId });
-        return { task: null, direct: null, canPrepareDirect: false };
-      });
       if (direct) return NextResponse.json(direct, { headers: { "Cache-Control": "no-store" } });
-      if (task && canPrepareDirect && body.preparation === "async") {
-        const asset = (task.metadata as { downloadAsset?: { status?: string; failure?: DownloadFailure; retryAt?: string } } | null)?.downloadAsset;
-        if (asset?.status === "abandoned" || (asset?.status === "failed" && Date.parse(asset.retryAt || "") > Date.now())) {
-          return failed(asset.failure || getDownloadFailure(null), task.id);
-        }
-        scheduleImageDownloadPreparation(task.id);
-        return preparing(task.id);
-      }
       if (task?.targetUrl) {
         if (!urls.includes(task.targetUrl)) urls.unshift(task.targetUrl);
-        scheduleImageDownloadPreparation(task.id);
+        after(() => prepareImageArchiveDownload(task.id));
       }
     }
     const cookie = request.headers.get("cookie") || "";
@@ -143,10 +104,13 @@ export async function POST(request: NextRequest) {
         userId: session.user.id, urls: requestedUrls, requestOrigin, cookie,
       });
       if (result.status === "preparing") {
-        return preparing(result.requestId);
+        return NextResponse.json({ delivery: "preparing", retryAfter: 3,
+          message: "正在准备原图，完成后将自动下载" }, {
+          status: 202, headers: { "Retry-After": "3", "Cache-Control": "no-store" },
+        });
       }
       if (result.status === "failed") {
-        return failed(result.failure, result.requestId);
+        return NextResponse.json({ success: false, error: result.error }, { status: 502 });
       }
       return new NextResponse(new Uint8Array(result.asset.buffer), { headers: {
         "Content-Type": result.asset.contentType,
@@ -167,14 +131,17 @@ export async function POST(request: NextRequest) {
         includeSequencePrefix: false,
       });
       if (result.ok) break;
-      failures.push(result.error);
+      failures.push(`${url}: ${result.error}`);
     }
 
     if (!result?.ok) {
       if (failures.length > 0) {
-        logger.warn("all_sources_failed", { requestId, failures });
+        console.warn("[CanvasDownloadImage] All candidates failed:", failures);
       }
-      return failed(getDownloadFailure(result?.error), requestId);
+      return NextResponse.json(
+        { success: false, error: result?.error || "图片源文件暂时不可访问" },
+        { status: 502 }
+      );
     }
 
     return new NextResponse(result.bytes, {
@@ -187,7 +154,7 @@ export async function POST(request: NextRequest) {
       },
     });
   } catch (error) {
-    logger.error("download_failed", error, { requestId });
+    console.error("[CanvasDownloadImage] Failed:", error);
-    return failed(getDownloadFailure(error), requestId);
+    return NextResponse.json({ success: false, error: "图片下载失败" }, { 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/generate/image/route.ts

@@ -2,7 +2,6 @@ import { executeCanvasImageResponse } from "@/lib/canvas/generate-image-response
 import { NextResponse } from "next/server";
 import { auth } from "@/app/(auth)/auth";
 import { getCanvasImageTaskForUser } from "@/lib/canvas/image-task-queue";
-import { formatRequestFailure, getRequestFailureDetails } from "@/lib/request-error";
 
 export const maxDuration = 1200;
 
@@ -24,15 +23,13 @@ export async function GET(request: Request) {
       return NextResponse.json({ success: false, error: "任务不存在" }, { status: 404 });
     }
 
-    const failure = task.status === "failed" ? getRequestFailureDetails(task.error) : undefined;
     return NextResponse.json({
       success: true,
       task: {
         id: task.id,
         status: task.status,
         attempts: task.attempts,
-        error: failure ? formatRequestFailure(failure, task.id) : null,
+        error: task.error || null,
-        failure,
         result: task.result || null,
         createdAt: task.createdAt,
         startedAt: task.startedAt,

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/featured/route.ts

@@ -1,8 +1,7 @@
 import { NextRequest } from "next/server";
 import { db } from "@/lib/db";
 import { generatedImage, user, aiModel } from "@/lib/db/schema";
-import { and, eq, desc, sql } from "drizzle-orm";
+import { eq, desc, sql } from "drizzle-orm";
-import { isRetiredStorageUrl, RETIRED_STORAGE_URL_PATTERN } from "@/lib/storage/retired-storage";
 import { cachedPublicJson } from "@/lib/public-api/performance";
 
 const FEATURED_TIMEOUT_MS = 1800;
@@ -58,17 +57,13 @@ export async function GET(request: NextRequest) {
           userName: user.name,
           userEmail: user.email,
           userDepartment: user.department,
-          modelName: sql<string | null>`(select ${aiModel.displayName} from ${aiModel}
+          modelName: aiModel.displayName,
-            where ${aiModel.modelId} = ${generatedImage.modelId}
-            order by ${aiModel.isEnabled} desc, ${aiModel.createdAt} desc, ${aiModel.id} asc limit 1)`,
           totalCount: sql<number>`count(*) over()::int`,
         })
         .from(generatedImage)
         .leftJoin(user, eq(generatedImage.userId, user.id))
-        .where(and(
+        .leftJoin(aiModel, eq(generatedImage.modelId, aiModel.modelId))
-          eq(generatedImage.isFeatured, true),
+        .where(eq(generatedImage.isFeatured, true))
-          sql`${generatedImage.originalUrl} !~* ${RETIRED_STORAGE_URL_PATTERN}`,
-        ))
         .orderBy(desc(generatedImage.featuredAt))
         .limit(pageSize)
         .offset(offset);
@@ -79,7 +74,7 @@ export async function GET(request: NextRequest) {
       return {
         images: featuredImages.map((img) => ({
           id: img.id,
-          thumbnailUrl: isRetiredStorageUrl(img.thumbnailUrl) ? img.originalUrl : img.thumbnailUrl,
+          thumbnailUrl: img.thumbnailUrl,
           originalUrl: img.originalUrl,
           imageSize: img.imageSize,
           prompt: img.prompt,

app/api/image-proxy/route.ts

@@ -1,12 +1,7 @@
 import crypto from "node:crypto";
-import { isRetiredStorageUrl, normalizeLegacyAliyunStorageUrl, RETIRED_STORAGE_MESSAGE } from "@/lib/storage/retired-storage";
 import { NextRequest, NextResponse } from "next/server";
-import { formatDownloadFailure, getDownloadFailure } from "@/lib/canvas/download-error";
-import { createLogger } from "@/lib/observability/logger";
-import { buildImageProxyUrl, isAlibabaModelImageUrl } from "@/lib/image-delivery";
 
 export const runtime = "nodejs";
-const logger = createLogger("image.download");
 
 const DEFAULT_QUALITY = 82;
 const MAX_WIDTH = 4096;
@@ -14,7 +9,6 @@ const MIN_WIDTH = 64;
 const MIN_QUALITY = 40;
 const MAX_QUALITY = 100;
 const FETCH_TIMEOUT_MS = 15000;
-const SMALL_PREVIEW_FETCH_TIMEOUT_MS = 45000;
 const DEFAULT_MEMORY_CACHE_MAX_BYTES = 64 * 1024 * 1024;
 const DEFAULT_MEMORY_CACHE_MAX_ITEMS = 256;
 
@@ -133,13 +127,15 @@ 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 +143,11 @@ 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,
@@ -236,7 +237,6 @@ function resolveDirectImageTarget(
   requestedQuality: number | null,
   requestedFormat: string | null
 ): URL | null {
-  if (isAlibabaModelImageUrl(target.toString())) return null;
   if (!isBrowserImageRequest(request)) {
     return null;
   }
@@ -265,19 +265,7 @@ function redirectToDirectImage(target: URL): NextResponse {
 
 export async function GET(request: NextRequest) {
   const { searchParams } = request.nextUrl;
-  const requestId = crypto.randomUUID();
-  const downloadFailure = (error: unknown) => {
-    const failure = getDownloadFailure(error);
-    logger.warn("original_download_failed", error, { requestId, code: failure.code, status: failure.status });
-    return NextResponse.json({ error: formatDownloadFailure(failure, requestId), failure, requestId }, {
-      status: failure.status, headers: { "Cache-Control": "no-store" },
-    });
-  };
   const rawUrl = (searchParams.get("url") || "").trim();
-  if (isRetiredStorageUrl(rawUrl)) {
-    if (searchParams.get("original") === "1") return downloadFailure(RETIRED_STORAGE_MESSAGE);
-    return NextResponse.json({ error: RETIRED_STORAGE_MESSAGE, code: "storage_retired" }, { status: 410 });
-  }
   if (!rawUrl) {
     return NextResponse.json({ error: "Missing url parameter" }, { status: 400 });
   }
@@ -293,24 +281,6 @@ export async function GET(request: NextRequest) {
     return NextResponse.json({ error: "Only http/https is supported" }, { status: 400 });
   }
 
-  if (normalizeLegacyAliyunStorageUrl(target.toString())) {
-    try {
-      if (searchParams.get("original") === "1") {
-        const { buildImageProxyUrl } = await import("@/lib/image-delivery");
-        buildImageProxyUrl(target.toString(), { delivery: "original" });
-      }
-      const { resolveLegacyAliyunStorageUrl } = await import("@/lib/storage/image-archive-db");
-      target = new URL(await resolveLegacyAliyunStorageUrl(target.toString()));
-    } catch (error) {
-      if (searchParams.get("original") === "1") return downloadFailure(error);
-      const failure = getDownloadFailure(error);
-      return NextResponse.json({ error: formatDownloadFailure(failure, requestId), failure, requestId,
-        code: failure.code === "STORAGE_RETIRED" ? "storage_retired" : failure.code }, {
-        status: failure.status, headers: { "Cache-Control": "no-store" },
-      });
-    }
-  }
-
   if (isBlockedHost(target.hostname)) {
     return NextResponse.json({ error: "Blocked target host" }, { status: 403 });
   }
@@ -331,48 +301,6 @@ export async function GET(request: NextRequest) {
     );
   }
 
-  if (!original && !forceProxy && isBrowserImageRequest(request)) {
-    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()]);
-      const archived = mappings[target.toString()];
-      if (archived) {
-        const preview = buildImageProxyUrl(archived, {
-          width: width || undefined,
-          quality,
-          format: ["webp", "avif", "jpeg", "png"].includes(requestedFormat || "") ? requestedFormat as OutputFormat : undefined,
-        });
-        if (/^https?:\/\//i.test(preview)) return redirectToDirectImage(new URL(preview));
-        target = new URL(archived);
-      }
-    } catch (error) {
-      logger.warn("preview_archive_lookup_failed", error, { requestId });
-    }
-  }
-
-  if (original && searchParams.get("download") === "resolve") {
-    try {
-      const { buildImageProxyUrl } = await import("@/lib/image-delivery");
-      buildImageProxyUrl(target.toString(), { delivery: "original" });
-      const { resolveOriginalCdnDownload } = await import("@/lib/storage/original-image-download");
-      const direct = await resolveOriginalCdnDownload(target.toString(), searchParams.get("name") || "", request.signal);
-      return NextResponse.json(direct || { delivery: "proxy" }, { headers: { "Cache-Control": "no-store" } });
-    } catch (error) {
-      return downloadFailure(error);
-    }
-  }
-
   if (!forceProxy && !original) {
     const directImageTarget = resolveDirectImageTarget(
       request,
@@ -411,81 +339,39 @@ export async function GET(request: NextRequest) {
     });
   }
 
-  const fetchSignal = AbortSignal.any([
-    request.signal,
-    AbortSignal.timeout(original ? 60_000 : isAlibabaModelImageUrl(target.toString()) || width && width <= 256 ? SMALL_PREVIEW_FETCH_TIMEOUT_MS : FETCH_TIMEOUT_MS),
-  ]);
-  const upstreamFailure = (error: unknown) => {
-    if (request.signal.aborted) return new NextResponse(null, { status: 499 });
-    if (original) return downloadFailure(error);
-    const timedOut = (error instanceof Error && error.name === "TimeoutError") || fetchSignal.reason?.name === "TimeoutError";
-    return NextResponse.json(
-      { error: timedOut ? "读取源图片超时，请重试" : "源图片传输中断，请重试" },
-      { status: timedOut ? 504 : 502 },
-    );
-  };
-  let contentType: string;
-  let originalBuffer: Buffer;
-  if (!original && isAlibabaModelImageUrl(target.toString())) {
-    try {
-      const { fetchImageBytes } = await import("@/lib/storage/image-byte-cache");
-      const data = await fetchImageBytes(target.toString(), { timeoutMs: SMALL_PREVIEW_FETCH_TIMEOUT_MS });
-      originalBuffer = data.buffer;
-      contentType = data.contentType;
-      if (request.signal.aborted) return new NextResponse(null, { status: 499 });
-      if (!contentType.toLowerCase().startsWith("image/")) {
-        return NextResponse.json({ error: "Upstream is not an image" }, { status: 400 });
-      }
-    } catch (error) {
-      return upstreamFailure(error);
-    }
-  } else {
   let upstreamResponse: Response;
   try {
     upstreamResponse = await fetch(target.toString(), {
-        signal: fetchSignal,
+      signal: AbortSignal.timeout(FETCH_TIMEOUT_MS),
       headers: {
         Accept: original ? "*/*" : "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
       },
     });
   } catch (error) {
-      return upstreamFailure(error);
+    console.error("[ImageProxy] Upstream fetch failed:", error);
+    return NextResponse.json({ error: "Failed to fetch upstream image" }, { status: 502 });
   }
 
   if (!upstreamResponse.ok) {
-      if (original) return downloadFailure(`HTTP ${upstreamResponse.status}`);
     return NextResponse.json(
       { error: `Upstream responded with ${upstreamResponse.status}` },
       { status: 502 }
     );
   }
-    contentType = upstreamResponse.headers.get("content-type") || "application/octet-stream";
+
+  const contentType = upstreamResponse.headers.get("content-type") || "application/octet-stream";
   if (!contentType.toLowerCase().startsWith("image/")) {
-      if (original) return downloadFailure("Source is not an image");
     return NextResponse.json({ error: "Upstream is not an image" }, { status: 400 });
   }
+
+  const originalBuffer = Buffer.from(await upstreamResponse.arrayBuffer());
   if (original) {
-      if (upstreamResponse.status !== 200 || !upstreamResponse.body) {
+    return buildImageResponse(originalBuffer, {
-        await upstreamResponse.body?.cancel();
+      contentType,
-        return downloadFailure("源图片传输中断，请重试");
+      etag: `"${crypto.createHash("sha256").update(originalBuffer).digest("hex")}"`,
-      }
+      cacheControl: "private, no-store",
-      const headers = new Headers({
+      attachment: true,
-        "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);
-    }
   }
   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

@@ -1,5 +1,4 @@
 import { NextRequest, NextResponse } from "next/server";
-import { resolveSiteBranding } from "@/lib/site-branding";
 import { createHash } from "node:crypto";
 import { z } from "zod";
 import { db } from "@/lib/db";
@@ -10,8 +9,7 @@ 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 {
@@ -154,7 +152,7 @@ import {
 } from "@/lib/ai-wash/config";
 import { STYLE_PRO_CONFIG_KEY, normalizeStyleProConfig } from "@/lib/style-pro/config";
 import { withTimeout } from "@/lib/public-api/performance";
-import type { AgentCategoryTreeConfig, AgentWorkflowUiConfig } from "@/types/agent";
+import type { AgentCategoryTreeConfig } from "@/types/agent";
 
 // Historically stored as "home_surprise_categories" but used for the featured gallery categories.
 const HOME_SURPRISE_CATEGORIES_KEY = "home_surprise_categories";
@@ -554,9 +552,6 @@ function normalizeAgentCategoryTreeConfig(value: unknown): AgentCategoryTreeConf
 type PublicSiteSettingsScope =
   | "agent-brand-model"
   | "agent-canvas"
-  | "agent-canvas-base"
-  | "agent-workflow-templates"
-  | "agent-entry"
   | "agent-presets"
   | "auth"
   | "branding"
@@ -568,9 +563,6 @@ 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",
   "branding",
@@ -614,60 +606,22 @@ const HOME_SITE_SETTINGS_FALLBACK: Record<string, unknown> = {
   lovartHomeSidebarConfig: normalizeLovartHomeSidebarConfig(undefined),
 };
 
-const AGENT_CANVAS_SETTING_KEYS = [
-  REALTIME_CANVAS_CONFIG_KEY,
-  REALTIME_CANVAS_MODE_ICON_CONFIG_KEY,
-  CANVAS_TOOLBAR_CONFIG_SETTING_KEY,
-  LAYER_SPLIT_CONFIG_KEY,
-  ANGLE_EDIT_CONFIG_KEY,
-  CANVAS_AGENT_MODE_ENABLED_KEY,
-  ...CANVAS_AGENT_FEATURE_SETTING_KEYS,
-  VIDEO_CANVAS_ENABLED_KEY,
-  VIDEO_CANVAS_SIDEBAR_ENABLED_KEY,
-  ENHANCE_PRO_KREA_SETTING_KEY,
-  AI_WASH_CONFIG_KEY,
-  STYLE_PRO_CONFIG_KEY,
-  AGENT_WORKFLOW_UI_CONFIG_KEY,
-  AGENT_WORKFLOW_SHOWCASE_CONFIG_KEY,
-];
-
-async function getAgentCanvasSettingsEtag(scope: string) {
-  const [settings, rows, providers] = await Promise.all([
-    db.select({ id: siteSettings.id, updatedAt: siteSettings.updatedAt })
-      .from(siteSettings).limit(1),
-    db.select({ key: systemSettings.key, updatedAt: systemSettings.updatedAt })
-      .from(systemSettings)
-      .where(inArray(systemSettings.key, AGENT_CANVAS_SETTING_KEYS)),
-    db.select({ id: aiProvider.id, updatedAt: aiProvider.updatedAt, enabled: aiProvider.isEnabled })
-      .from(aiProvider)
-      .where(inArray(aiProvider.type, ["tripo-3d", "worldlabs-3d"])),
-  ]);
-  const versions = [
-    ...settings.map((row) => `${row.id}:${row.updatedAt.getTime()}`),
-    ...rows.map((row) => `${row.key}:${row.updatedAt.getTime()}`),
-    ...providers.map((row) => `${row.id}:${row.updatedAt.getTime()}:${row.enabled}`),
-  ].sort();
-  return `W/"${scope}/${versions.join(",")}"`;
-}
-
 function createScopedSiteSettingsResponse(
   scope: PublicSiteSettingsScope,
   data: Record<string, unknown>,
   cacheStatus: "HIT" | "MISS" | "STALE" | "FALLBACK" = "MISS",
   cacheKey: string = scope,
-  options: { fallback?: boolean; startedAt?: number; etag?: string } = {}
+  options: { fallback?: boolean; startedAt?: number } = {}
 ) {
   if (cacheStatus === "MISS") {
     setScopedSiteSettingsCache(
       cacheKey,
       data,
-      PUBLIC_SITE_SETTINGS_CACHE_TTL_MS,
+      PUBLIC_SITE_SETTINGS_CACHE_TTL_MS
-      options.etag
     );
   }
 
   const response = NextResponse.json(data);
-  if (options.etag) response.headers.set("ETag", options.etag);
   // Lightweight public settings change rarely; keep them browser-local briefly
   // so page opens do not repeatedly wait on the large full settings endpoint.
   response.headers.set(
@@ -687,7 +641,7 @@ 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 +649,8 @@ 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([]),
@@ -715,12 +663,12 @@ async function readScopedSiteSettings(keys: string[], omitWorkflowSteps = false)
 }
 
 function createBrandingSettings(settings: Record<string, unknown> | undefined) {
-  return resolveSiteBranding({
+  return {
     siteName: String(settings?.siteName || "𝗕𝘂𝗬𝗶"),
-    siteLogo: String(settings?.siteLogo || ""),
+    siteLogo: settings?.siteLogo || null,
-    siteLogoDark: String(settings?.siteLogoDark || ""),
+    siteLogoDark: settings?.siteLogoDark || null,
-    favicon: String(settings?.favicon || ""),
+    favicon: settings?.favicon || null,
-  });
+  };
 }
 
 async function getScopedPublicSiteSettings(
@@ -728,7 +676,6 @@ async function getScopedPublicSiteSettings(
   options: {
     brandName?: string;
     cacheKey?: string;
-    etag?: string;
   } = {}
 ) {
   if (scope === "auth") {
@@ -790,17 +737,23 @@ async function getScopedPublicSiteSettings(
     });
   }
 
-  if (scope === "agent-workflow-templates") {
+  if (scope === "agent-canvas") {
-    const [setting] = await db.select({ value: systemSettings.value })
+    const { settings, valueByKey } = await readScopedSiteSettings([
-      .from(systemSettings).where(eq(systemSettings.key, AGENT_WORKFLOW_UI_CONFIG_KEY)).limit(1);
+      REALTIME_CANVAS_CONFIG_KEY,
-    const config = normalizeAgentWorkflowUiConfig(setting?.value);
+      REALTIME_CANVAS_MODE_ICON_CONFIG_KEY,
-    return createScopedSiteSettingsResponse(scope, {
+      CANVAS_TOOLBAR_CONFIG_SETTING_KEY,
-      steps: omitAgentWorkflowPrompts(config.steps),
+      LAYER_SPLIT_CONFIG_KEY,
-    }, "MISS", options.cacheKey || scope, { etag: options.etag });
+      ANGLE_EDIT_CONFIG_KEY,
-  }
+      CANVAS_AGENT_MODE_ENABLED_KEY,
-
+      ...CANVAS_AGENT_FEATURE_SETTING_KEYS,
-  if (scope === "agent-canvas" || scope === "agent-canvas-base" || scope === "agent-entry") {
+      VIDEO_CANVAS_ENABLED_KEY,
-    const { settings, valueByKey } = await readScopedSiteSettings(AGENT_CANVAS_SETTING_KEYS, scope !== "agent-canvas");
+      VIDEO_CANVAS_SIDEBAR_ENABLED_KEY,
+      ENHANCE_PRO_KREA_SETTING_KEY,
+      AI_WASH_CONFIG_KEY,
+      STYLE_PRO_CONFIG_KEY,
+      AGENT_WORKFLOW_UI_CONFIG_KEY,
+      AGENT_WORKFLOW_SHOWCASE_CONFIG_KEY,
+    ]);
     const canvasFeatureAvailability = await readCanvasFeatureAvailability(
       valueByKey
     );
@@ -808,8 +761,6 @@ async function getScopedPublicSiteSettings(
     const videoCanvasSidebarEnabled = normalizeVideoCanvasSidebarEnabled(
       valueByKey.get(VIDEO_CANVAS_SIDEBAR_ENABLED_KEY)
     );
-    const rawUiConfig = valueByKey.get(AGENT_WORKFLOW_UI_CONFIG_KEY) as
-      Partial<AgentWorkflowUiConfig> | undefined;
     return createScopedSiteSettingsResponse(scope, {
       ...createBrandingSettings(typedSettings),
       agentEnabled: typedSettings?.agentEnabled ?? true,
@@ -845,20 +796,12 @@ async function getScopedPublicSiteSettings(
       tripo3dEnabled: canvasFeatureAvailability.tripo3dEnabled,
       worldlabs3dEnabled: canvasFeatureAvailability.worldlabs3dEnabled,
       agentWorkflowUiConfig: normalizeAgentWorkflowUiConfig(
-        scope === "agent-entry"
+        valueByKey.get(AGENT_WORKFLOW_UI_CONFIG_KEY)
-          ? {
-              steps: [],
-              pageFeatureSettings: rawUiConfig?.pageFeatureSettings,
-              businessModeSettings: rawUiConfig?.businessModeSettings,
-            }
-          : scope === "agent-canvas-base"
-            ? { ...rawUiConfig, steps: [] }
-            : rawUiConfig
       ),
       agentWorkflowShowcaseConfig: normalizeAgentWorkflowShowcaseConfig(
         valueByKey.get(AGENT_WORKFLOW_SHOWCASE_CONFIG_KEY)
       ),
-    }, "MISS", options.cacheKey || scope, { etag: options.etag });
+    });
   }
 
   if (scope === "branding") {
@@ -1112,24 +1055,13 @@ export async function GET(request: NextRequest) {
       const cacheKey = brandName.trim()
         ? `${scopedScope}:${brandName.trim().toLowerCase()}`
         : scopedScope;
-      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) {
-        return new NextResponse(null, {
-          status: 304,
-          headers: { ETag: etag, "Cache-Control": "private, no-cache" },
-        });
-      }
       const cached = getScopedSiteSettingsCache(cacheKey);
-      if (cached && cached.expiresAt > Date.now() && (!etag || cached.etag === etag)) {
+      if (cached && cached.expiresAt > Date.now()) {
         return createScopedSiteSettingsResponse(
           scopedScope,
           cached.data,
           "HIT",
-          cacheKey,
+          cacheKey
-          { etag }
         );
       }
       if (cached && scopedScope !== "home") {
@@ -1140,7 +1072,6 @@ export async function GET(request: NextRequest) {
         const responsePromise = getScopedPublicSiteSettings(scopedScope, {
           brandName,
           cacheKey,
-          etag,
         });
         return scopedScope === "home"
           ? await withTimeout(responsePromise, 1600, "site-settings:home")
@@ -1610,7 +1541,7 @@ export async function GET(request: NextRequest) {
     };
     
     const response = NextResponse.json({
-        ...resolveSiteBranding(baseSettings),
+        ...baseSettings,
         lovartPromoText:
           baseSettings.lovartPromoText ||
           "现在升级，立享 Kling 3.0 与 Nano Banana Pro，最高 5 折优惠",

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]/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/admin/admin-surface.tsx

@@ -1,30 +0,0 @@
-"use client";
-import { useEffect, useRef, type ReactNode } from "react";
-
-export function AdminSurface({ children }: { children: ReactNode }) {
-  const ref = useRef<HTMLDivElement>(null);
-  useEffect(() => {
-    if (window.matchMedia("(prefers-reduced-motion: reduce)").matches) return;
-    let context: { revert: () => void } | undefined;
-    let disposed = false;
-    import("gsap").then(({ gsap }) => {
-      if (disposed) return;
-      context = gsap.context(() => {
-        gsap.fromTo(
-          ref.current,
-          { y: 6, opacity: 0.85 },
-          { y: 0, opacity: 1, duration: 0.25, ease: "power3.out", clearProps: "transform,opacity" },
-        );
-      }, ref);
-    });
-    return () => {
-      disposed = true;
-      context?.revert();
-    };
-  }, []);
-  return (
-    <div ref={ref} className="space-y-6">
-      {children}
-    </div>
-  );
-}

components/admin/media-records-panel.tsx

@@ -1,603 +0,0 @@
-"use client";
-import { useEffect, useState } from "react";
-import useSWR from "swr";
-import {
-  RefreshCw,
-  Search,
-  ChevronLeft,
-  ChevronRight,
-  ExternalLink,
-  Download,
-  Star,
-} from "lucide-react";
-import { Button } from "@/components/ui/button";
-import { Input } from "@/components/ui/input";
-import { Dialog, DialogContent, DialogHeader, DialogTitle } from "@/components/ui/dialog";
-import { toast } from "sonner";
-import { MediaThumbnail } from "./media-thumbnail";
-import { AdminSurface } from "./admin-surface";
-import { formatRecordTime } from "@/lib/admin/record-time";
-import { buildImageProxyUrl } from "@/lib/image-delivery";
-
-export type MediaRecord = {
-  id: string;
-  recordType: "image" | "video";
-  userName: string | null;
-  userEmail: string | null;
-  userDepartment: string | null;
-  createdAt: string;
-  modelId: string | null;
-  chatId: string | null;
-  thumbnailUrl: string;
-  originalUrl: string;
-  videoUrl?: string | null;
-  prompt: string | null;
-  imageSize: string | null;
-  isFeatured: boolean;
-  featuredCategory: string | null;
-  featuredAt?: string | null;
-};
-type MediaResponse = {
-  images: MediaRecord[];
-  pagination: {
-    total: number;
-    totalPages: number;
-    totalImages: number;
-    totalVideos: number;
-    page: number;
-  };
-};
-export async function adminFetcher(url: string) {
-  const response = await fetch(url);
-  const data = await response.json();
-  if (!response.ok) throw new Error(data.error || data.message || "加载失败，请重试");
-  return data;
-}
-const selectClass =
-  "h-10 rounded-md border bg-background px-3 text-sm focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring";
-function recentDate() {
-  const d = new Date();
-  d.setDate(d.getDate() - 6);
-  return new Intl.DateTimeFormat("en-CA", { timeZone: "Asia/Shanghai" }).format(d);
-}
-
-export function MediaRecordsPanel({ categories }: { categories: string[] }) {
-  const [view, setView] = useState("assets");
-  const [search, setSearch] = useState("");
-  const [filters, setFilters] = useState({
-    search: "",
-    type: "all",
-    startDate: recentDate(),
-    endDate: "",
-    model: "",
-    featured: "false",
-    status: "all",
-  });
-  const [page, setPage] = useState(1);
-  const [selected, setSelected] = useState<MediaRecord | null>(null);
-  const [saving, setSaving] = useState(false);
-  const [originalFailed, setOriginalFailed] = useState(false);
-  const update = (changes: Partial<typeof filters>) => {
-    setFilters((f) => ({ ...f, ...changes }));
-    setPage(1);
-  };
-  useEffect(() => {
-    const timer = setTimeout(() => {
-      setFilters((f) => (f.search === search ? f : { ...f, search }));
-      setPage(1);
-    }, 350);
-    return () => clearTimeout(timer);
-  }, [search]);
-  const { data: options } = useSWR<{
-    models: Array<{ id: string; modelId: string; displayName: string; providerName: string }>;
-  }>("/api/admin/ai-models?view=options", adminFetcher, { revalidateOnFocus: false });
-  const modelNames = new Map<string, string>();
-  for (const model of options?.models || [])
-    if (!modelNames.has(model.modelId)) modelNames.set(model.modelId, model.displayName);
-  const recordModelNames = new Map(modelNames);
-  for (const model of options?.models || []) recordModelNames.set(model.id, model.displayName);
-  const openDetails = (item: MediaRecord) => {
-    setSelected(item);
-    setOriginalFailed(false);
-  };
-  const query = new URLSearchParams({ ...filters, page: String(page), pageSize: "40" });
-  const { data, error, isLoading, isValidating, mutate } = useSWR<MediaResponse>(
-    view === "assets" ? `/api/admin/images?${query}` : null,
-    adminFetcher,
-    { keepPreviousData: true, revalidateOnFocus: false },
-  );
-  const tasks = useSWR<{
-    tasks: Array<{
-      id: string;
-      userName: string;
-      status: string;
-      createdAt: string;
-      error: string | null;
-      model: string | null;
-      elapsedMs: number | null;
-    }>;
-    total: number;
-  }>(view === "tasks" ? `/api/admin/media-tasks?${query}` : null, adminFetcher, {
-    keepPreviousData: true,
-    revalidateOnFocus: false,
-  });
-  const busy = view === "assets" ? isValidating : tasks.isValidating;
-  const failure = view === "assets" ? error : tasks.error;
-  const loading = view === "assets" ? isLoading : tasks.isLoading;
-  const total = view === "assets" ? data?.pagination.total : tasks.data?.total;
-  const pages = Math.max(1, Math.ceil((total || 0) / 40));
-  async function save(changes: Partial<MediaRecord>) {
-    if (!selected || saving) return;
-    setSaving(true);
-    try {
-      const response = await fetch("/api/admin/images", {
-        method: "PATCH",
-        headers: { "Content-Type": "application/json" },
-        body: JSON.stringify({ imageId: selected.id, ...changes }),
-      });
-      if (!response.ok) throw new Error("保存失败，请重试");
-      setSelected({ ...selected, ...changes });
-      toast.success("已保存");
-      await mutate();
-    } catch (e) {
-      toast.error(e instanceof Error ? e.message : "保存失败");
-    } finally {
-      setSaving(false);
-    }
-  }
-  return (
-    <AdminSurface>
-      <div className="flex flex-wrap items-start justify-between gap-4">
-        <div>
-          <h2 className="text-2xl font-semibold tracking-tight">生成记录</h2>
-          <p className="mt-2 text-sm text-muted-foreground">
-            查看图片与视频产物，追踪画布任务。时间统一按北京时间展示。
-          </p>
-        </div>
-        <Button
-          variant="outline"
-          disabled={busy}
-          onClick={() => (view === "assets" ? mutate() : tasks.mutate())}
-        >
-          <RefreshCw className={`mr-2 size-4 ${busy ? "motion-safe:animate-spin" : ""}`} />
-          刷新
-        </Button>
-      </div>
-      <div className="flex gap-2" role="tablist" aria-label="记录视图">
-        {[
-          ["assets", "产物记录"],
-          ["tasks", "画布任务"],
-        ].map(([key, label]) => (
-          <Button
-            key={key}
-            role="tab"
-            aria-selected={view === key}
-            variant={view === key ? "default" : "ghost"}
-            onClick={() => {
-              setView(key);
-              setPage(1);
-            }}
-          >
-            {label}
-          </Button>
-        ))}
-      </div>
-      <div className="flex flex-wrap items-end gap-3 rounded-xl border bg-background p-4">
-        <label className="min-w-48 flex-1 text-xs font-medium">
-          用户
-          <div className="relative mt-2">
-            <Search className="absolute left-3 top-3 size-4 text-muted-foreground" />
-            <Input
-              className="h-10 pl-9"
-              placeholder="搜索姓名或邮箱"
-              value={search}
-              onChange={(e) => setSearch(e.target.value)}
-            />
-          </div>
-        </label>
-        {view === "assets" ? (
-          <label className="text-xs font-medium">
-            类型
-            <select
-              aria-label="产物类型"
-              className={`${selectClass} mt-2 block`}
-              value={filters.type}
-              onChange={(e) => update({ type: e.target.value })}
-            >
-              <option value="all">图片与视频</option>
-              <option value="image">只看图片</option>
-              <option value="video">只看视频</option>
-            </select>
-          </label>
-        ) : (
-          <label className="text-xs font-medium">
-            任务状态
-            <select
-              aria-label="任务状态"
-              className={`${selectClass} mt-2 block`}
-              value={filters.status}
-              onChange={(e) => update({ status: e.target.value })}
-            >
-              <option value="all">全部状态</option>
-              <option value="failed">失败</option>
-              <option value="running">运行中</option>
-              <option value="pending">排队中</option>
-              <option value="succeeded">成功</option>
-            </select>
-          </label>
-        )}
-        <label className="text-xs font-medium">
-          开始日期
-          <Input
-            aria-label="开始日期"
-            className="mt-2 h-10 w-40"
-            type="date"
-            value={filters.startDate}
-            onChange={(e) => update({ startDate: e.target.value })}
-          />
-        </label>
-        <label className="text-xs font-medium">
-          结束日期
-          <Input
-            aria-label="结束日期"
-            className="mt-2 h-10 w-40"
-            type="date"
-            value={filters.endDate}
-            onChange={(e) => update({ endDate: e.target.value })}
-          />
-        </label>
-        <Button
-          variant="ghost"
-          onClick={() => {
-            setSearch("");
-            update({
-              search: "",
-              startDate: "",
-              endDate: "",
-              model: "",
-              featured: "false",
-              type: "all",
-              status: "all",
-            });
-          }}
-        >
-          全部时间 / 重置
-        </Button>
-        {view === "assets" && (
-          <div className="flex w-full flex-wrap items-center gap-3">
-            <select
-              aria-label="记录模型"
-              className={`${selectClass} max-w-full sm:max-w-96`}
-              value={filters.model}
-              onChange={(e) => update({ model: e.target.value })}
-            >
-              <option value="">全部模型</option>
-              {Array.from(modelNames, ([id, name]) => (
-                <option key={id} value={id}>
-                  {name} · {id}
-                </option>
-              ))}
-            </select>
-            <label className="flex items-center gap-2 text-sm">
-              <input
-                type="checkbox"
-                checked={filters.featured === "true"}
-                onChange={(e) => update({ featured: String(e.target.checked) })}
-              />
-              只看精选
-            </label>
-          </div>
-        )}
-      </div>
-      <div
-        aria-live="polite"
-        className="flex items-center justify-between text-sm text-muted-foreground"
-      >
-        <span>
-          {total === undefined ? "正在读取记录…" : `共 ${total.toLocaleString()} 条记录`}
-          {view === "assets" && data
-            ? ` · 图片 ${data.pagination.totalImages.toLocaleString()} · 视频 ${data.pagination.totalVideos.toLocaleString()}`
-            : ""}
-        </span>
-        {busy && !loading && <span>正在更新…</span>}
-      </div>
-      <div className="flex items-center justify-between gap-3 text-sm text-muted-foreground">
-        <span>
-          第 {page} / {pages} 页 · 每页 40 条
-        </span>
-        <div className="flex gap-2">
-          <Button
-            variant="outline"
-            size="sm"
-            disabled={busy || page === 1}
-            onClick={() => setPage((p) => p - 1)}
-          >
-            上一页
-          </Button>
-          <Button
-            variant="outline"
-            size="sm"
-            disabled={busy || page >= pages}
-            onClick={() => setPage((p) => p + 1)}
-          >
-            下一页
-          </Button>
-        </div>
-      </div>
-      {failure ? (
-        <div role="alert" className="rounded-xl border border-destructive/30 p-6 text-sm">
-          <p>{failure.message}</p>
-          <Button
-            className="mt-3"
-            variant="outline"
-            onClick={() => (view === "assets" ? mutate() : tasks.mutate())}
-          >
-            重试加载
-          </Button>
-        </div>
-      ) : loading ? (
-        <div role="status" className="space-y-3 rounded-xl border p-6">
-          {[0, 1, 2, 3].map((x) => (
-            <div key={x} className="h-16 rounded-lg bg-muted motion-safe:animate-pulse" />
-          ))}
-          <span className="sr-only">正在加载记录</span>
-        </div>
-      ) : total === 0 ? (
-        <div className="rounded-xl border border-dashed p-12 text-center text-sm text-muted-foreground">
-          没有符合条件的记录，请调整筛选条件。
-        </div>
-      ) : (
-        <div className="overflow-x-auto rounded-xl border bg-background" aria-busy={busy}>
-          {view === "assets" ? (
-            <table className="w-full min-w-[720px] text-left text-sm">
-              <thead className="bg-muted/50 text-xs text-muted-foreground">
-                <tr>
-                  {["产物", "用户", "生成时间", "模型 / 尺寸", "精选", ""].map((v, i) => (
-                    <th key={i} className="px-4 py-3 font-medium">
-                      {v}
-                    </th>
-                  ))}
-                </tr>
-              </thead>
-              <tbody className="divide-y">
-                {data?.images.map((item) => (
-                  <tr key={item.id} className="hover:bg-muted/30">
-                    <td className="p-4">
-                      <div>
-                        <MediaThumbnail
-                          url={item.thumbnailUrl}
-                          video={item.recordType === "video"}
-                          onOpen={() => openDetails(item)}
-                        />
-                      </div>
-                    </td>
-                    <td className="px-4 py-3">
-                      <div className="font-medium">{item.userName || item.userEmail}</div>
-                      <div className="mt-1 text-xs text-muted-foreground">
-                        {item.userDepartment || "未设置部门"}
-                      </div>
-                    </td>
-                    <td className="whitespace-nowrap px-4 py-3 tabular-nums">
-                      {formatRecordTime(item.createdAt)}
-                    </td>
-                    <td className="max-w-64 px-4 py-3">
-                      <div className="truncate" title={item.modelId || ""}>
-                        {recordModelNames.get(item.modelId || "") || item.modelId || "未记录模型"}
-                      </div>
-                      <div className="mt-1 text-xs text-muted-foreground">
-                        {item.recordType === "video" ? "视频" : "图片"} ·{" "}
-                        {item.imageSize || "未知尺寸"}
-                      </div>
-                    </td>
-                    <td className="px-4 py-3">
-                      {item.isFeatured ? (
-                        <span className="inline-flex items-center gap-1 text-amber-700 dark:text-amber-300">
-                          <Star className="size-3" />
-                          {item.featuredCategory || "精选"}
-                        </span>
-                      ) : (
-                        "—"
-                      )}
-                    </td>
-                    <td className="px-4 py-3">
-                      <Button variant="ghost" size="sm" onClick={() => openDetails(item)}>
-                        详情
-                      </Button>
-                    </td>
-                  </tr>
-                ))}
-              </tbody>
-            </table>
-          ) : (
-            <table className="w-full min-w-[720px] text-left text-sm">
-              <thead className="bg-muted/50">
-                <tr>
-                  {["用户 / 时间", "状态", "模型", "耗时", "失败原因 / 任务编号"].map((x) => (
-                    <th key={x} className="px-4 py-3 font-medium">
-                      {x}
-                    </th>
-                  ))}
-                </tr>
-              </thead>
-              <tbody className="divide-y">
-                {tasks.data?.tasks.map((task) => (
-                  <tr key={task.id}>
-                    <td className="px-4 py-4">
-                      {task.userName}
-                      <div className="mt-1 text-xs text-muted-foreground">
-                        {formatRecordTime(task.createdAt)}
-                      </div>
-                    </td>
-                    <td className="px-4 py-4">
-                      {{ failed: "失败", running: "运行中", succeeded: "成功", pending: "排队中" }[
-                        task.status
-                      ] || task.status}
-                    </td>
-                    <td className="max-w-48 break-words px-4 py-4">{task.model || "自动选择"}</td>
-                    <td className="px-4 py-4 tabular-nums">
-                      {task.elapsedMs === null ? "—" : `${Math.round(task.elapsedMs / 1000)} 秒`}
-                    </td>
-                    <td className="max-w-xl break-words px-4 py-4">
-                      <p className={task.error ? "text-destructive" : "text-muted-foreground"}>
-                        {task.error || "—"}
-                      </p>
-                      <code className="mt-2 block text-xs text-muted-foreground">{task.id}</code>
-                    </td>
-                  </tr>
-                ))}
-              </tbody>
-            </table>
-          )}
-        </div>
-      )}
-      <div className="flex flex-wrap items-center justify-between gap-3">
-        <span className="text-sm text-muted-foreground">
-          每页 40 条 · 第 {page} / {pages} 页
-        </span>
-        <div className="flex items-center gap-2">
-          <Button variant="outline" disabled={busy || page === 1} onClick={() => setPage(1)}>
-            首页
-          </Button>
-          <Button
-            aria-label="上一页"
-            variant="outline"
-            disabled={busy || page === 1}
-            onClick={() => setPage((p) => p - 1)}
-          >
-            <ChevronLeft className="size-4" />
-          </Button>
-          <Button
-            aria-label="下一页"
-            variant="outline"
-            disabled={busy || page >= pages}
-            onClick={() => setPage((p) => p + 1)}
-          >
-            <ChevronRight className="size-4" />
-          </Button>
-          <Button variant="outline" disabled={busy || page >= pages} onClick={() => setPage(pages)}>
-            末页
-          </Button>
-        </div>
-      </div>
-      <Dialog
-        open={!!selected}
-        onOpenChange={(open) => {
-          if (!open) setSelected(null);
-        }}
-      >
-        <DialogContent className="max-h-[90vh] max-w-4xl overflow-y-auto bg-background">
-          <DialogHeader>
-            <DialogTitle>{selected?.recordType === "video" ? "视频详情" : "图片详情"}</DialogTitle>
-          </DialogHeader>
-          {selected && (
-            <div className="space-y-6">
-              <div className="flex min-h-40 justify-center rounded-xl bg-muted">
-                {selected.recordType === "video" ? (
-                  <video
-                    src={selected.videoUrl || selected.originalUrl}
-                    controls
-                    preload="none"
-                    className="max-h-[45vh] w-full"
-                  />
-                ) : originalFailed ? (
-                  <div role="alert" className="p-8 text-sm">
-                    原图无法加载，源文件可能已过期或存储不可达。
-                    <Button
-                      className="ml-3"
-                      variant="outline"
-                      onClick={() => setOriginalFailed(false)}
-                    >
-                      重试
-                    </Button>
-                  </div>
-                ) : (
-                  <img
-                    src={selected.originalUrl}
-                    alt="生成原图"
-                    className="max-h-[45vh] object-contain"
-                    onError={() => setOriginalFailed(true)}
-                  />
-                )}
-              </div>
-              <dl className="grid gap-4 text-sm sm:grid-cols-2">
-                {[
-                  ["用户", selected.userName || selected.userEmail],
-                  ["部门", selected.userDepartment],
-                  ["生成时间", formatRecordTime(selected.createdAt)],
-                  ["尺寸", selected.imageSize],
-                  ["模型", recordModelNames.get(selected.modelId || "") || selected.modelId],
-                  ["精选时间", selected.featuredAt ? formatRecordTime(selected.featuredAt) : "—"],
-                ].map(([k, v]) => (
-                  <div key={k}>
-                    <dt className="text-xs text-muted-foreground">{k}</dt>
-                    <dd className="mt-1 break-words">{v || "未记录"}</dd>
-                  </div>
-                ))}
-              </dl>
-              <div>
-                <h3 className="text-sm font-medium">提示词</h3>
-                <p className="mt-2 whitespace-pre-wrap break-words text-sm text-muted-foreground">
-                  {selected.prompt || "未记录提示词"}
-                </p>
-              </div>
-              <div className="flex flex-wrap gap-3">
-                <Button variant="outline" asChild>
-                  <a href={selected.originalUrl} target="_blank" rel="noreferrer">
-                    <ExternalLink className="mr-2 size-4" />
-                    打开原文件
-                  </a>
-                </Button>
-                {selected.recordType === "image" && (
-                  <Button variant="outline" asChild>
-                    <a
-                      href={buildImageProxyUrl(selected.originalUrl, { delivery: "original" })}
-                      download
-                    >
-                      <Download className="mr-2 size-4" />
-                      下载原图
-                    </a>
-                  </Button>
-                )}
-              </div>
-              {selected.recordType === "image" && (
-                <div className="flex flex-wrap items-center gap-3 rounded-xl border p-4">
-                  <select
-                    aria-label="精选分类"
-                    className={selectClass}
-                    value={selected.featuredCategory || ""}
-                    onChange={(e) =>
-                      setSelected({ ...selected, featuredCategory: e.target.value || null })
-                    }
-                  >
-                    <option value="">未分类</option>
-                    {[...new Set([...categories, selected.featuredCategory].filter(Boolean))].map(
-                      (c) => (
-                        <option key={c} value={c!}>
-                          {c}
-                        </option>
-                      ),
-                    )}
-                  </select>
-                  <Button
-                    variant="outline"
-                    disabled={saving}
-                    onClick={() => save({ featuredCategory: selected.featuredCategory })}
-                  >
-                    保存分类
-                  </Button>
-                  <Button
-                    disabled={saving}
-                    onClick={() => save({ isFeatured: !selected.isFeatured })}
-                  >
-                    <Star className="mr-2 size-4" />
-                    {selected.isFeatured ? "取消精选" : "设为精选"}
-                  </Button>
-                </div>
-              )}
-            </div>
-          )}
-        </DialogContent>
-      </Dialog>
-    </AdminSurface>
-  );
-}

components/admin/media-thumbnail.tsx

@@ -1,150 +0,0 @@
-"use client";
-
-import { useEffect, useRef, useState } from "react";
-import { ImageOff, Video, RotateCw } from "lucide-react";
-import { buildImageProxyUrl } from "@/lib/image-delivery";
-import { isRetiredStorageUrl } from "@/lib/storage/retired-storage";
-
-import { queuePreview } from "@/lib/admin/preview-queue";
-
-export function MediaThumbnail({
-  url,
-  video = false,
-  onOpen,
-}: {
-  url: string;
-  video?: boolean;
-  onOpen?: () => void;
-}) {
-  const container = useRef<HTMLDivElement>(null);
-  const [state, setState] = useState<"waiting" | "loading" | "ready" | "error">("waiting");
-  const [attempt, setAttempt] = useState(0);
-  const [source, setSource] = useState("");
-  const [failure, setFailure] = useState("");
-  const retired = isRetiredStorageUrl(url);
-  useEffect(() => {
-    setState("waiting");
-    setSource("");
-    setFailure("");
-    if (video || retired || !url || !container.current) return;
-    let dispose: (() => void) | undefined;
-    let abort = () => {};
-    let objectUrl = "";
-    let alive = true;
-    const observer = new IntersectionObserver(
-      ([entry]) => {
-        if (!entry.isIntersecting || dispose) return;
-        observer.disconnect();
-        dispose = queuePreview((release) => {
-          const controller = new AbortController();
-          const timeout = setTimeout(() => controller.abort(), 48000);
-          setState("loading");
-          // Fetch is abortable, so leaving a page also stops in-flight previews.
-          const parsed = new URL(url, window.location.origin);
-          const target =
-            parsed.hostname === "scqnycdn.jiansun.vip" && !parsed.search
-              ? `${url}?imageView2/2/w/192/q/72/format/webp`
-              : buildImageProxyUrl(url, {
-                  width: 192,
-                  quality: 72,
-                  format: "webp",
-                  delivery: "proxy",
-                });
-          fetch(target, { signal: controller.signal })
-            .then(async (response) => {
-              if (!response.ok) {
-                const detail = await response.json().catch(() => null);
-                throw new Error(`${detail?.error || "预览请求失败"}（HTTP ${response.status}）`);
-              }
-              const blob = await response.blob();
-              if (!blob.type.startsWith("image/")) throw new Error("Not an image");
-              if (alive) {
-                objectUrl = URL.createObjectURL(blob);
-                setSource(objectUrl);
-                setState("ready");
-              }
-            })
-            .catch((error) => {
-              if (alive) {
-                setFailure(
-                  error.name === "AbortError" ? "预览加载超时" : error.message || "预览加载失败",
-                );
-                setState("error");
-              }
-            })
-            .finally(() => {
-              clearTimeout(timeout);
-              release();
-            });
-          abort = () => {
-            controller.abort();
-            clearTimeout(timeout);
-          };
-        });
-      },
-      { rootMargin: "80px" },
-    );
-    observer.observe(container.current);
-    return () => {
-      alive = false;
-      observer.disconnect();
-      abort();
-      dispose?.();
-      if (objectUrl) URL.revokeObjectURL(objectUrl);
-    };
-  }, [url, video, retired, attempt]);
-  return (
-    <div
-      ref={container}
-      className="relative flex h-16 w-20 shrink-0 items-center justify-center overflow-hidden rounded-lg bg-muted"
-      data-preview-state={state}
-    >
-      {video ? (
-        <button
-          type="button"
-          aria-label="查看视频详情"
-          className="flex h-full w-full items-center justify-center"
-          onClick={onOpen}
-        >
-          <Video className="size-5 text-muted-foreground" aria-label="视频，点击查看后播放" />
-        </button>
-      ) : retired ? (
-        <span className="text-center text-xs text-muted-foreground">
-          旧存储
-          <br />
-          已停用
-        </span>
-      ) : source && state === "ready" ? (
-        <button type="button" aria-label="查看图片详情" className="h-full w-full" onClick={onOpen}>
-          <img
-            src={source}
-            alt="生成结果预览"
-            className="h-full w-full object-contain"
-            onError={() => {
-              setFailure("图片内容无法解码");
-              setState("error");
-            }}
-          />
-        </button>
-      ) : state === "error" ? (
-        <button
-          type="button"
-          className="flex h-full w-full flex-col items-center justify-center gap-1 text-xs text-muted-foreground hover:text-foreground"
-          title={`${failure}，点击重试`}
-          onClick={(e) => {
-            e.stopPropagation();
-            setAttempt((x) => x + 1);
-          }}
-        >
-          <ImageOff className="size-4" />
-          加载失败
-        </button>
-      ) : (
-        <RotateCw
-          className={`size-4 text-muted-foreground ${state === "loading" ? "motion-safe:animate-spin" : ""}`}
-          aria-label={state === "loading" ? "正在加载预览" : "等待进入可见区域"}
-        />
-      )}
-    </div>
-  );
-}

components/admin/model-health-panel.tsx

@@ -1,191 +0,0 @@
-"use client";
-import { useState } from "react";
-import useSWR from "swr";
-import { Button } from "@/components/ui/button";
-import { Input } from "@/components/ui/input";
-import { adminFetcher } from "./media-records-panel";
-import { formatRecordTime } from "@/lib/admin/record-time";
-type Event = {
-  id: string;
-  modelDisplayName: string;
-  modelRuntimeId: string;
-  providerName: string;
-  eventType: string;
-  createdAt: string;
-  errorMessage: string;
-  elapsedMs: number | null;
-  consecutiveFailures: number;
-  autoDisabled: boolean;
-};
-export function ModelHealthPanel({
-  providers,
-  models,
-  initialModelId = "",
-}: {
-  initialModelId?: string;
-  providers: Array<{ id: string; name: string }>;
-  models: Array<{ id: string; displayName: string; providerId: string }>;
-}) {
-  const [filters, setFilters] = useState({
-    providerId: "",
-    modelId: initialModelId,
-    eventType: "",
-    startDate: "",
-    endDate: "",
-  });
-  const [page, setPage] = useState(1);
-  const query = new URLSearchParams({ ...filters, page: String(page), limit: "20" });
-  const { data, error, isLoading, isValidating, mutate } = useSWR<{
-    events: Event[];
-    hasMore: boolean;
-  }>(`/api/admin/ai-model-health?${query}`, adminFetcher, {
-    keepPreviousData: true,
-    revalidateOnFocus: false,
-  });
-  const update = (change: Partial<typeof filters>) => {
-    setFilters((f) => ({ ...f, ...change }));
-    setPage(1);
-  };
-  return (
-    <div className="space-y-4">
-      <div>
-        <h3 className="text-lg font-semibold">运行健康</h3>
-        <p className="mt-2 text-sm text-muted-foreground">
-          按上游和模型追踪故障，查看完整原因与发生时间。
-        </p>
-      </div>
-      <div className="flex flex-wrap gap-3">
-        {[
-          ["providerId", "全部上游", providers.map((p) => [p.id, p.name])],
-          [
-            "modelId",
-            "全部模型",
-            models
-              .filter((m) => !filters.providerId || m.providerId === filters.providerId)
-              .map((m) => [m.id, m.displayName]),
-          ],
-          [
-            "eventType",
-            "全部错误",
-            [
-              ["quota", "额度 / 余额"],
-              ["timeout", "超时"],
-              ["unavailable", "不可用"],
-              ["invalid_model", "模型不可用"],
-              ["download_error", "结果下载失败"],
-              ["error", "其他错误"],
-              ["success", "成功"],
-            ],
-          ],
-        ].map(([key, label, options]) => (
-          <select
-            key={key as string}
-            aria-label={label as string}
-            className="h-10 max-w-64 rounded-md border bg-background px-3 text-sm"
-            value={filters[key as keyof typeof filters]}
-            onChange={(e) =>
-              update({
-                [key as string]: e.target.value,
-                ...(key === "providerId" ? { modelId: "" } : {}),
-              })
-            }
-          >
-            <option value="">{label as string}</option>
-            {(options as string[][]).map(([value, text]) => (
-              <option key={value} value={value}>
-                {text}
-              </option>
-            ))}
-          </select>
-        ))}
-        <Input
-          aria-label="故障开始日期"
-          className="h-10 w-40"
-          type="date"
-          value={filters.startDate}
-          onChange={(e) => update({ startDate: e.target.value })}
-        />
-        <Input
-          aria-label="故障结束日期"
-          className="h-10 w-40"
-          type="date"
-          value={filters.endDate}
-          onChange={(e) => update({ endDate: e.target.value })}
-        />
-        <Button variant="outline" disabled={isValidating} onClick={() => mutate()}>
-          刷新日志
-        </Button>
-      </div>
-      {error ? (
-        <p role="alert" className="p-6 text-sm text-destructive">
-          日志加载失败，请点击刷新重试。
-        </p>
-      ) : isLoading ? (
-        <p role="status" className="p-6 text-sm">
-          正在加载故障日志…
-        </p>
-      ) : (
-        <div className="divide-y rounded-xl border">
-          {data?.events.map((event) => (
-            <div key={event.id} className="p-4">
-              <div className="flex flex-wrap items-center gap-3 text-sm">
-                <strong className="font-semibold">
-                  {event.modelDisplayName || event.modelRuntimeId || "已删除模型"}
-                </strong>
-                <span className="text-muted-foreground">{event.providerName || "未知上游"}</span>
-                <span className="rounded bg-muted px-2 py-1 text-xs">
-                  {{
-                    quota: "额度 / 余额",
-                    timeout: "超时",
-                    unavailable: "不可用",
-                    error: "服务错误",
-                    invalid_model: "模型不可用",
-                    download_error: "结果下载失败",
-                    success: "成功",
-                  }[event.eventType] || event.eventType}
-                </span>
-                <time className="ml-auto text-xs tabular-nums text-muted-foreground">
-                  {formatRecordTime(event.createdAt)}
-                </time>
-              </div>
-              <p className="mt-3 whitespace-pre-wrap break-words text-sm">
-                {event.errorMessage || "未记录详细原因"}
-              </p>
-              <div className="mt-2 flex gap-4 text-xs text-muted-foreground">
-                <span>连续失败 {event.consecutiveFailures} 次</span>
-                {event.elapsedMs !== null && (
-                  <span>耗时 {Math.round(event.elapsedMs / 1000)} 秒</span>
-                )}
-                {event.autoDisabled && <span>已自动停用</span>}
-              </div>
-            </div>
-          ))}
-          {!data?.events.length && (
-            <p className="p-12 text-center text-sm text-muted-foreground">该范围内没有故障记录。</p>
-          )}
-        </div>
-      )}
-      <div className="flex items-center justify-between">
-        <span className="text-sm text-muted-foreground">
-          第 {page} 页{isValidating && " · 正在更新…"}
-        </span>
-        <div className="flex gap-2">
-          <Button
-            variant="outline"
-            disabled={page === 1 || isValidating}
-            onClick={() => setPage((p) => p - 1)}
-          >
-            上一页
-          </Button>
-          <Button
-            variant="outline"
-            disabled={!data?.hasMore || isValidating}
-            onClick={() => setPage((p) => p + 1)}
-          >
-            下一页
-          </Button>
-        </div>
-      </div>
-    </div>
-  );
-}

components/admin/model-management-list.tsx

@@ -1,326 +0,0 @@
-"use client";
-import { useMemo, useState } from "react";
-import { Search, RefreshCw, ChevronLeft, ChevronRight } from "lucide-react";
-import { Button } from "@/components/ui/button";
-import { Input } from "@/components/ui/input";
-import type { AiModel } from "@/lib/db/schema";
-import {
-  is3DModelDescriptor,
-  isVideoModelDescriptor,
-  isImageGenerationModelDescriptor,
-} from "@/lib/ai/model-classification";
-
-type Model = AiModel & { isAgentModel?: boolean; isMultimodal?: boolean };
-type Provider = { id: string; name: string; type: string; isEnabled: boolean };
-const selectClass = "h-10 rounded-md border bg-background px-3 text-sm";
-export function ModelManagementList({
-  models,
-  providers,
-  error,
-  loading,
-  onEdit,
-  onDelete,
-  onRestore,
-  onRefresh,
-  onHealth,
-}: {
-  models: Model[];
-  providers: Provider[];
-  error?: Error;
-  loading: boolean;
-  onEdit: (model: Model) => Promise<void>;
-  onDelete: (id: string) => void;
-  onRestore: (model: Model) => void;
-  onRefresh: () => void;
-  onHealth?: (id: string) => void;
-}) {
-  const [search, setSearch] = useState("");
-  const [provider, setProvider] = useState("");
-  const [status, setStatus] = useState("enabled");
-  const [kind, setKind] = useState("");
-  const [page, setPage] = useState(1);
-  const [opening, setOpening] = useState<string | null>(null);
-  const rows = useMemo(
-    () =>
-      models
-        .map((model) => {
-          const upstream = providers.find((p) => p.id === model.providerId);
-          const descriptor = { ...model, providerType: upstream?.type };
-          const type = is3DModelDescriptor(descriptor)
-            ? "3d"
-            : isVideoModelDescriptor(descriptor)
-              ? "video"
-              : isImageGenerationModelDescriptor(descriptor)
-                ? "image"
-                : "chat";
-          return { model, upstream, type };
-        })
-        .filter(({ model, upstream, type }) => {
-          const text =
-            `${model.displayName} ${model.modelId} ${upstream?.name || ""}`.toLowerCase();
-          return (
-            text.includes(search.trim().toLowerCase()) &&
-            (!provider || model.providerId === provider) &&
-            (!kind || kind === type) &&
-            (status === "all" ||
-              (status === "enabled" && model.isEnabled) ||
-              (status === "disabled" && !model.isEnabled) ||
-              (status === "unhealthy" && model.healthStatus !== "healthy") ||
-              (status === "visible" && !model.isHidden))
-          );
-        }),
-    [models, providers, search, provider, status, kind],
-  );
-  const pages = Math.max(1, Math.ceil(rows.length / 25));
-  const currentPage = Math.min(page, pages);
-  const change = (fn: () => void) => {
-    fn();
-    setPage(1);
-  };
-  return (
-    <div className="space-y-4">
-      <div className="flex flex-wrap gap-3">
-        <div className="relative min-w-56 flex-1">
-          <Search className="absolute left-3 top-3 size-4 text-muted-foreground" />
-          <Input
-            className="h-10 pl-9"
-            aria-label="搜索模型"
-            placeholder="搜索模型名称、ID 或上游"
-            value={search}
-            onChange={(e) => change(() => setSearch(e.target.value))}
-          />
-        </div>
-        <select
-          aria-label="模型上游"
-          className={selectClass}
-          value={provider}
-          onChange={(e) => change(() => setProvider(e.target.value))}
-        >
-          <option value="">全部上游</option>
-          {providers.map((p) => (
-            <option key={p.id} value={p.id}>
-              {p.name}
-            </option>
-          ))}
-        </select>
-        <select
-          aria-label="模型类型"
-          className={selectClass}
-          value={kind}
-          onChange={(e) => change(() => setKind(e.target.value))}
-        >
-          <option value="">全部类型</option>
-          <option value="image">生图</option>
-          <option value="video">视频</option>
-          <option value="chat">对话</option>
-          <option value="3d">3D / CAD</option>
-        </select>
-        <select
-          aria-label="模型状态"
-          className={selectClass}
-          value={status}
-          onChange={(e) => change(() => setStatus(e.target.value))}
-        >
-          <option value="enabled">已启用</option>
-          <option value="all">全部模型</option>
-          <option value="disabled">已停用</option>
-          <option value="unhealthy">运行异常</option>
-          <option value="visible">前台可见</option>
-        </select>
-        <Button variant="outline" onClick={onRefresh} aria-label="刷新模型">
-          <RefreshCw className="size-4" />
-        </Button>
-      </div>
-      <p className="text-sm text-muted-foreground">
-        {loading
-          ? "正在加载模型…"
-          : `筛选结果 ${rows.length} 个 · 已启用 ${models.filter((m) => m.isEnabled).length} 个 · 全部 ${models.length} 个`}
-      </p>
-      <div className="flex items-center justify-end gap-2 text-sm text-muted-foreground">
-        <span>
-          第 {currentPage} / {pages} 页
-        </span>
-        <Button
-          variant="outline"
-          size="sm"
-          disabled={currentPage === 1}
-          onClick={() => setPage(currentPage - 1)}
-        >
-          上一页
-        </Button>
-        <Button
-          variant="outline"
-          size="sm"
-          disabled={currentPage === pages}
-          onClick={() => setPage(currentPage + 1)}
-        >
-          下一页
-        </Button>
-      </div>
-      {error ? (
-        <div role="alert" className="rounded-xl border p-6 text-sm">
-          模型加载失败。
-          <Button variant="outline" onClick={onRefresh}>
-            重试
-          </Button>
-        </div>
-      ) : loading ? (
-        <div role="status" className="h-48 rounded-xl bg-muted motion-safe:animate-pulse" />
-      ) : (
-        <div className="overflow-x-auto rounded-xl border">
-          <table className="w-full min-w-[850px] text-left text-sm">
-            <thead className="bg-muted/50 text-xs text-muted-foreground">
-              <tr>
-                {["模型", "上游 / 类型", "启用", "前台展示", "运行健康", "操作"].map((x) => (
-                  <th key={x} className="px-4 py-3 font-medium">
-                    {x}
-                  </th>
-                ))}
-              </tr>
-            </thead>
-            <tbody className="divide-y">
-              {rows
-                .slice((currentPage - 1) * 25, currentPage * 25)
-                .map(({ model, upstream, type }) => (
-                  <tr key={model.id} className="hover:bg-muted/30">
-                    <td className="max-w-64 px-4 py-4">
-                      <div className="font-medium">{model.displayName}</div>
-                      <div
-                        className="mt-1 truncate text-xs text-muted-foreground"
-                        title={model.modelId}
-                      >
-                        {model.modelId}
-                      </div>
-                      <div className="mt-2 flex flex-wrap gap-2 text-xs text-muted-foreground">
-                        {model.isDefault && <span>默认模型</span>}
-                        {model.isDefaultTextEditModel && <span>文字编辑默认</span>}
-                        {model.isAgentModel && <span>Agent</span>}
-                        {model.isMultimodal && <span>多模态</span>}
-                        {model.isSubModel && <span>子模型</span>}
-                      </div>
-                    </td>
-                    <td className="px-4 py-4">
-                      {upstream?.name || "未知上游"}
-                      <div className="mt-1 text-xs text-muted-foreground">
-                        {{ image: "生图", video: "视频", chat: "对话", "3d": "3D / CAD" }[type]}
-                        {upstream && !upstream.isEnabled ? " · 上游已停用" : ""}
-                      </div>
-                    </td>
-                    <td className="whitespace-nowrap px-4 py-4">
-                      <span
-                        className={`rounded-md px-2 py-1 text-xs ${model.isEnabled ? "bg-emerald-100 text-emerald-800 dark:bg-emerald-950 dark:text-emerald-200" : "bg-muted text-muted-foreground"}`}
-                      >
-                        {model.isEnabled ? "已启用" : "已停用"}
-                      </span>
-                    </td>
-                    <td className="px-4 py-4">
-                      {model.isHidden || model.isSubModel ? "隐藏" : "可见"}
-                    </td>
-                    <td className="max-w-72 px-4 py-4">
-                      <span
-                        className={
-                          model.healthStatus !== "healthy"
-                            ? "text-amber-700 dark:text-amber-300"
-                            : "text-muted-foreground"
-                        }
-                      >
-                        {model.healthStatus === "auto_disabled"
-                          ? "自动停用"
-                          : model.healthStatus === "degraded"
-                            ? "观察中"
-                            : "正常"}
-                      </span>
-                      {model.healthConsecutiveFailures > 0 && (
-                        <span className="ml-2 text-xs text-muted-foreground">
-                          连续失败 {model.healthConsecutiveFailures} 次
-                        </span>
-                      )}
-                      {model.healthLastError && (
-                        <details className="mt-2 text-xs">
-                          <summary className="cursor-pointer text-muted-foreground">
-                            查看最近原因
-                          </summary>
-                          <p className="mt-2 whitespace-pre-wrap break-words">
-                            {model.healthLastError}
-                          </p>
-                        </details>
-                      )}
-                      <button
-                        type="button"
-                        className="mt-2 block text-xs underline underline-offset-4"
-                        onClick={() => onHealth?.(model.id)}
-                      >
-                        故障记录
-                      </button>
-                      <div className="mt-2 text-xs text-muted-foreground">
-                        {model.excludeFromHealthBan && "不自动封禁 "}
-                        {model.excludeFromFailover && "不参与迁移"}
-                      </div>
-                    </td>
-                    <td className="px-4 py-4">
-                      <div className="flex gap-1">
-                        <Button
-                          variant="outline"
-                          size="sm"
-                          disabled={opening !== null}
-                          onClick={async () => {
-                            setOpening(model.id);
-                            try {
-                              await onEdit(model);
-                            } finally {
-                              setOpening(null);
-                            }
-                          }}
-                        >
-                          {opening === model.id ? "加载中…" : "编辑"}
-                        </Button>
-                        {model.healthStatus === "auto_disabled" && (
-                          <Button variant="outline" size="sm" onClick={() => onRestore(model)}>
-                            恢复
-                          </Button>
-                        )}
-                        <Button
-                          variant="ghost"
-                          size="sm"
-                          className="text-destructive"
-                          onClick={() => onDelete(model.id)}
-                        >
-                          删除
-                        </Button>
-                      </div>
-                    </td>
-                  </tr>
-                ))}
-            </tbody>
-          </table>
-          {rows.length === 0 && (
-            <p className="p-12 text-center text-sm text-muted-foreground">没有符合条件的模型。</p>
-          )}
-        </div>
-      )}
-      <div className="flex items-center justify-between text-sm text-muted-foreground">
-        <span>
-          每页 25 个 · 第 {currentPage} / {pages} 页
-        </span>
-        <div className="flex gap-2">
-          <Button
-            aria-label="上一页模型"
-            variant="outline"
-            disabled={currentPage === 1}
-            onClick={() => setPage(currentPage - 1)}
-          >
-            <ChevronLeft className="size-4" />
-          </Button>
-          <Button
-            aria-label="下一页模型"
-            variant="outline"
-            disabled={currentPage === pages}
-            onClick={() => setPage(currentPage + 1)}
-          >
-            <ChevronRight className="size-4" />
-          </Button>
-        </div>
-      </div>
-    </div>
-  );
-}

components/agents/AgentGenerationWorkspace.tsx

@@ -1,5 +1,4 @@
 "use client";
-import { downloadOriginalImage, getCanvasImageDownloadErrorMessage } from "@/lib/client/canvas-image-download";
 
 import { useChat } from "@ai-sdk/react";
 import { DefaultChatTransport } from "ai";
@@ -576,11 +575,31 @@ export function AgentGenerationWorkspace({
       toast.error("图片地址无效");
       return;
     }
+
+    const filename = buildDownloadFilename(raw);
     try {
-      await downloadOriginalImage({ url: raw, name: buildDownloadFilename(raw) });
+      const response = await fetch(raw);
-      toast.success("原图已开始下载");
+      if (!response.ok) {
-    } catch (error) {
+        throw new Error(`download failed: ${response.status}`);
-      toast.error(getCanvasImageDownloadErrorMessage(error));
+      }
+      const blob = await response.blob();
+      const blobUrl = window.URL.createObjectURL(blob);
+      const link = document.createElement("a");
+      link.href = blobUrl;
+      link.download = filename;
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      window.URL.revokeObjectURL(blobUrl);
+    } catch {
+      const link = document.createElement("a");
+      link.href = raw;
+      link.target = "_blank";
+      link.rel = "noopener noreferrer";
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      toast.message("已打开原图，可右键另存为");
     }
   }, []);
 

components/agents/AgentGenerationWorkspaceDarkV2.tsx

@@ -1,10 +1,7 @@
 "use client";
-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";
 import { DefaultChatTransport } from "ai";
 import {
@@ -159,7 +156,6 @@ import type {
 } from "@/types/agent";
 import {
   createEmptyAgentModeWorkspaceState,
-  MAX_DETAIL_REPLACEMENT_REFERENCES,
 } from "@/lib/agents/mode-workspace-state";
 import {
   createEmptyAgentGenerationProjectWorkspaceState,
@@ -177,7 +173,6 @@ export interface AgentGenerationWorkspaceDarkV2Props {
   workflowFeatureSettings?: AgentWorkflowPageFeatureSettings | null;
   workflowPromptOptimizationEnabled?: boolean;
   getLatestWorkflowContext?: () => AgentWorkflowComposerContext | null;
-  getWorkflowPromptStatus?: () => "ready" | "loading" | "error";
   onBack?: () => void;
   brandStorePanel?: ReactNode;
   materialSelectionPanel?: ReactNode;
@@ -214,7 +209,6 @@ export interface AgentGenerationWorkspaceDarkV2Props {
 interface AgentWorkflowModelOption {
   id: string;
   displayName: string;
-  providerName?: string;
   providerType: string;
   supportsImageGen?: boolean;
   isMultimodal?: boolean;
@@ -2645,9 +2639,7 @@ 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 +3082,6 @@ export function AgentGenerationWorkspaceDarkV2({
   workflowFeatureSettings = null,
   workflowPromptOptimizationEnabled = true,
   getLatestWorkflowContext,
-  getWorkflowPromptStatus,
   onBack,
   brandStorePanel,
   materialSelectionPanel,
@@ -3388,13 +3379,12 @@ 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 +3430,17 @@ 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 +3456,6 @@ 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 +4107,12 @@ 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 +4131,8 @@ 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");
@@ -4185,7 +4169,6 @@ export function AgentGenerationWorkspaceDarkV2({
           ? "agent-anchor-materials"
           : "agent-anchor-generate";
 
-  const [finishedSceneRequestId, setFinishedSceneRequestId] = useState<string | null>(null);
   const {
     messages,
     setMessages,
@@ -4206,11 +4189,7 @@ export function AgentGenerationWorkspaceDarkV2({
         void refreshHistory();
       }
     },
-    onFinish({ messages: finishedMessages }) {
+    onFinish() { void refreshHistory(); },
-      const lastUser = finishedMessages.filter((message) => message.role === "user").at(-1);
-      setFinishedSceneRequestId(lastUser?.id || null);
-      void refreshHistory();
-    },
     experimental_throttle: 100,
     generateId: generateUUID,
     transport: new DefaultChatTransport({
@@ -4893,14 +4872,6 @@ 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;
@@ -5511,17 +5482,6 @@ export function AgentGenerationWorkspaceDarkV2({
     setActiveResultModeType(currentResultModeType);
   }, [currentResultModeType]);
 
-  useEffect(() => {
-    if (!pendingGeneration?.requestMessageId || pendingGeneration.modeType !== "scene_generation" || transportIsGenerating) return;
-    const result = getSceneRunResult(messages, pendingGeneration.requestMessageId);
-    const persisted = getSceneRunResult(historyMessages, pendingGeneration.requestMessageId);
-    if (!result || (finishedSceneRequestId !== pendingGeneration.requestMessageId && !persisted?.count)) return;
-    setPendingGeneration(null);
-    if (result.count < pendingGeneration.expectedCount) {
-      toast.warning(`本次生成已结束，收到 ${result.count}/${pendingGeneration.expectedCount} 张图片。缺少的图片未继续生成，可调整张数后重新提交。`);
-    }
-  }, [pendingGeneration, transportIsGenerating, finishedSceneRequestId, messages, historyMessages]);
-
   useEffect(() => {
     if (!pendingGeneration || pendingGeneration.backendTaskId || !replacementRunRecovery.done) return;
     // The backend has settled every requested card; an open SSE connection is no longer work.
@@ -6327,24 +6287,10 @@ 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 +6349,6 @@ 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 +6369,13 @@ 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 +6399,6 @@ 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 +6586,6 @@ export function AgentGenerationWorkspaceDarkV2({
     input,
     isDetailAiGenerationMethod,
     isDetailReplacementPreset,
-    isDetailReplacementModelLoading,
-    modelsError,
     isSelectedBusinessModeUnavailable,
     isSkuReplacementPreset,
     effectiveDefaultModelId,
@@ -6664,7 +6602,6 @@ export function AgentGenerationWorkspaceDarkV2({
     skuResultCards,
     userMessageCount,
     getLatestWorkflowContext,
-    getWorkflowPromptStatus,
     isSceneGenerationPreset,
     workflowContext,
     sceneMessageAttachments,
@@ -6675,7 +6612,6 @@ export function AgentGenerationWorkspaceDarkV2({
     onPersistProject,
     projectId,
     refreshDetailBatch,
-    refreshModels,
   ]);
   const handleStopGeneration = useCallback(() => {
     detailGenerationCancelRef.current = true;
@@ -6840,11 +6776,31 @@ export function AgentGenerationWorkspaceDarkV2({
       toast.error("图片地址无效");
       return;
     }
+
+    const filename = buildDownloadFilename(raw);
     try {
-      await downloadOriginalImage({ url: raw, name: buildDownloadFilename(raw) });
+      const response = await fetch(raw);
-      toast.success("原图已开始下载");
+      if (!response.ok) {
-    } catch (error) {
+        throw new Error(`download failed: ${response.status}`);
-      toast.error(getCanvasImageDownloadErrorMessage(error));
+      }
+      const blob = await response.blob();
+      const blobUrl = window.URL.createObjectURL(blob);
+      const link = document.createElement("a");
+      link.href = blobUrl;
+      link.download = filename;
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      window.URL.revokeObjectURL(blobUrl);
+    } catch {
+      const link = document.createElement("a");
+      link.href = raw;
+      link.target = "_blank";
+      link.rel = "noopener noreferrer";
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      toast.message("已打开原图，可右键另存为");
     }
   }, []);
   const uploadBase64ResultToStorage = useCallback(async (base64Url: string) => {
@@ -7839,11 +7795,6 @@ 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 +9399,9 @@ 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/AgentGenerationWorkspaceNew.tsx

@@ -1,5 +1,4 @@
 "use client";
-import { downloadOriginalImage, getCanvasImageDownloadErrorMessage } from "@/lib/client/canvas-image-download";
 
 import { useChat } from "@ai-sdk/react";
 import { DefaultChatTransport } from "ai";
@@ -726,11 +725,30 @@ export function AgentGenerationWorkspaceNew({
       toast.error("图片地址无效");
       return;
     }
+    const filename = buildDownloadFilename(raw);
     try {
-      await downloadOriginalImage({ url: raw, name: buildDownloadFilename(raw) });
+      const response = await fetch(raw);
-      toast.success("原图已开始下载");
+      if (!response.ok) {
-    } catch (error) {
+        throw new Error(`download failed: ${response.status}`);
-      toast.error(getCanvasImageDownloadErrorMessage(error));
+      }
+      const blob = await response.blob();
+      const blobUrl = window.URL.createObjectURL(blob);
+      const link = document.createElement("a");
+      link.href = blobUrl;
+      link.download = filename;
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      window.URL.revokeObjectURL(blobUrl);
+    } catch {
+      const link = document.createElement("a");
+      link.href = raw;
+      link.target = "_blank";
+      link.rel = "noopener noreferrer";
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      toast.message("已打开原图，可右键另存为");
     }
   }, []);
 

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/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 +0,0 @@
-"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<
-  {
-    run: (operation: CanvasRemoteOperation) => Promise<void>;
-    applySnapshot: (result: CanvasRemoteOperationResult) => boolean;
-  } | null
->(null);
-
-export function useCanvasRemoteOperation() {
-  return useContext(CanvasRemoteOperationContext)?.run || null;
-}
-
-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/canvas-chat-media.ts

@@ -448,7 +448,7 @@ function extractChatMediaUrls(text: string, kind: ChatMediaKind): string[] {
     }
   }
 
-  const markdownLinkPattern = /(?<!!)\[([^\]]*)]\((https?:\/\/[^)\s]+)\)/gi;
+  const markdownLinkPattern = /\[([^\]]*)]\((https?:\/\/[^)\s]+)\)/gi;
   while ((match = markdownLinkPattern.exec(text)) !== null) {
     const label = String(match[1] || "");
     const hintedKind = /音频|语音|声音|audio|mp3/i.test(label)
@@ -491,7 +491,7 @@ export function stripMediaMarkup(text: string): string {
     .replace(/<audio[\s\S]*?<\/audio>/gi, "")
     .replace(/<audio\b[^>]*\/?\s*>/gi, "")
     .replace(/<a[\s\S]*?<\/a>/gi, "")
-    .replace(/(?<!!)\[([^\]]*)]\((https?:\/\/[^)\s]+)\)/gi, (match, label, url) => {
+    .replace(/\[([^\]]*)]\((https?:\/\/[^)\s]+)\)/gi, (match, label, url) => {
       const hintedMedia = /音频|语音|声音|audio|mp3|视频|影片|播放|video/i.test(
         String(label || "")
       );

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

@@ -1,7 +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 {
   Box,
@@ -62,7 +59,6 @@ import { DetailUiDomRenderer } from "@/components/canvas/DetailUiDomRenderer";
 import { ReferenceImageToolbar } from "@/components/canvas/ReferenceImageToolbar";
 import { CanvasToolbarIcon } from "@/components/canvas/CanvasToolbarIcon";
 import { CanvasImageDownloadProgressDialog } from "@/components/canvas/CanvasImageDownloadProgressDialog";
-import { ProgressiveImagePreview, type LoadedImagePreview } from "@/components/progressive-image-preview";
 import {
   areImageAdjustmentsEqual,
   buildImageAdjustmentFilterStyle,
@@ -178,7 +174,7 @@ 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";
@@ -189,7 +185,7 @@ import {
   normalizeDetailUiSubjectAnalysis,
 } from "@/lib/detail-ui-subject-analysis";
 import type { DetailUiScreenOverlaySnapshot } from "@/lib/detail-ui-surface-adapter";
-import { buildImageFallbackUrl, buildImageProxyUrl } from "@/lib/image-delivery";
+import { buildImageProxyUrl } from "@/lib/image-delivery";
 import {
   DEFAULT_PUBLIC_THREED_MODEL_ALIAS_CONFIG,
   getDefaultThreeDModelAliasId,
@@ -235,8 +231,6 @@ import {
 import { normalizeOptionalHexColor } from "@/lib/canvas/text-edit-colors";
 import { isCanvasImageUploadPending } from "@/lib/canvas/local-upload-state";
 import { createCanvasCapabilityClientCommand } from "@/lib/canvas/capabilities/client-command";
-import { executeCanvasToolbarCapability } from "@/lib/client/canvas-toolbar-capability";
-import { useCanvasRemoteOperation } from "@/components/canvas/CanvasRemoteOperationContext";
 import { getCanvasCapabilityByClientAction } from "@/lib/canvas/capabilities/registry";
 import type { CanvasCapabilityClientAction } from "@/lib/canvas/capabilities/types";
 import { cn, fetcher } from "@/lib/utils";
@@ -1714,7 +1708,6 @@ export function ImageNode({
   const [isUploading, setIsUploading] = useState(false);
   const [annotatorOpen, setAnnotatorOpen] = useState(false);
   const [fullscreenPreviewOpen, setFullscreenPreviewOpen] = useState(false);
-  const [fullscreenPreviewImage, setFullscreenPreviewImage] = useState<LoadedImagePreview | null>(null);
   const [downloadProgress, setDownloadProgress] =
     useState<CanvasImageDownloadProgress | null>(null);
   const downloadAbortControllerRef = useRef<AbortController | null>(null);
@@ -2084,7 +2077,7 @@ export function ImageNode({
   const selectNode = useCanvasStore((state) => state.selectNode);
   const projectId = useCanvasStore((state) => state.projectId);
   const getCanvasState = useCanvasStore((state) => state.getCanvasState);
-  const runCanvasRemoteOperation = useCanvasRemoteOperation();
+  const loadCanvas = useCanvasStore((state) => state.loadCanvas);
   const addPendingChatAttachment = useCanvasStore(
     (state) => state.addPendingChatAttachment
   );
@@ -2482,11 +2475,14 @@ export function ImageNode({
     [compareButtonVisualSize]
   );
   const shouldUseHighFidelityDisplayImage =
+    isSelected ||
+    isHovered ||
     isCompareMode ||
     boxCutoutMode ||
     localEditMode ||
     cropPanelOpen ||
     imageAdjustPanelOpen ||
+    fullscreenPreviewOpen ||
     isThisNodePicking;
   const displayImageWidth = useMemo(() => {
     const devicePixelRatio =
@@ -2501,13 +2497,13 @@ 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 +2515,15 @@ 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 +4678,106 @@ 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) => {
@@ -6640,7 +6707,7 @@ export function ImageNode({
   const executeSharedToolbarCapability = async (
     action: "rmbg" | "watermark" | "enhance" | "extend" | "layer-split"
   ) => {
-    if (!projectId || !runCanvasRemoteOperation) {
+    if (!projectId) {
       toast.error("画布还在加载，请稍后再试");
       return;
     }
@@ -6659,7 +6726,21 @@ export function ImageNode({
         projectId,
         source: "toolbar",
       });
-      await runCanvasRemoteOperation(() => executeCanvasToolbarCapability(command));
+      const response = await fetch(`/api/canvas/${projectId}/capabilities`, {
+        method: "POST",
+        headers: { "Content-Type": "application/json" },
+        body: JSON.stringify(command),
+      });
+      const payload = await response.json().catch(() => ({}));
+      if (!response.ok || payload?.success !== true) {
+        throw new Error(payload?.error || `${capability.title}失败`);
+      }
+
+      const projectResult = await canvasService.getProject(projectId);
+      if (!projectResult.success || !projectResult.data?.canvasData) {
+        throw new Error(projectResult.error || "结果已生成，但画布同步失败");
+      }
+      loadCanvas(projectResult.data.canvasData);
       toast.success(`${capability.title}完成`);
     } catch (error) {
       const message =
@@ -8223,6 +8304,7 @@ 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 +8318,24 @@ 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");
@@ -8349,11 +8439,7 @@ export function ImageNode({
         {/* 图片内容 - 使用 object-contain 保持原始比例 */}
         {data.src ? (
           <div className="relative h-full w-full">
-            {isRetiredStorageUrl(data.src) ? (
+            {!shouldRequestDisplayImage ? (
-              <div role="status" className="flex h-full w-full items-center justify-center bg-muted p-4 text-center text-sm text-muted-foreground">
-                {RETIRED_STORAGE_MESSAGE}
-              </div>
-            ) : !shouldRequestDisplayImage ? (
               <ImageNodeDeferredLoadState />
             ) : isCompareMode && hasCompareSource ? (
               <div
@@ -8380,16 +8466,15 @@ 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)) {
+                        if (event.currentTarget.src !== data.src) {
-                          event.currentTarget.src = buildImageFallbackUrl(data.src);
+                          event.currentTarget.src = data.src;
                         }
                       }}
                       onLoad={handleDisplayImageLoad}
@@ -8410,16 +8495,15 @@ 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)) {
+                        if (event.currentTarget.src !== compareSource) {
-                          event.currentTarget.src = buildImageFallbackUrl(compareSource);
+                          event.currentTarget.src = compareSource;
                         }
                       }}
                       src={displayCompareSrc}
@@ -8461,8 +8545,7 @@ 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 +8557,7 @@ export function ImageNode({
                   )}
                   decoding="async"
                   draggable={false}
-                  loading="eager"
+                  loading="lazy"
                   onClick={
                     isThisNodePicking && !boxCutoutMode
                       ? handlePickerClick
@@ -8483,17 +8566,12 @@ export function ImageNode({
                   onDoubleClick={(e) => {
                     if (!isThisNodePicking && !boxCutoutMode && !localEditMode) {
                       e.stopPropagation();
-                      setFullscreenPreviewImage({
-                        src: e.currentTarget.currentSrc || e.currentTarget.src,
-                        width: e.currentTarget.naturalWidth,
-                        height: e.currentTarget.naturalHeight,
-                      });
                       setFullscreenPreviewOpen(true);
                     }
                   }}
                   onError={(event) => {
-                    if (event.currentTarget.src !== buildImageFallbackUrl(data.src)) {
+                    if (event.currentTarget.src !== data.src) {
-                      event.currentTarget.src = buildImageFallbackUrl(data.src);
+                      event.currentTarget.src = data.src;
                     }
                   }}
                   onLoad={handleDisplayImageLoad}
@@ -9404,8 +9482,6 @@ export function ImageNode({
         ) : (
           <ImageNodeEmptyState
             detailProgressLabel={detailProgressLabel}
-            failure={data.metadata?.generationFailure}
-            requestId={data.metadata?.generationRequestId}
             fileInputRef={fileInputRef}
             generationProgress={generationProgress}
             onImageUpload={handleImageUpload}
@@ -11895,7 +11971,6 @@ export function ImageNode({
       {/* 双击放大预览弹窗 */}
       {fullscreenPreviewOpen &&
         data.src &&
-        fullscreenPreviewImage &&
         createPortal(
           <div
             className="fixed inset-0 z-[9999] flex cursor-zoom-out items-center justify-center bg-black/90"
@@ -11903,7 +11978,7 @@ export function ImageNode({
           >
             {/* 关闭按钮 */}
             <button
-              className="absolute top-4 right-4 z-10 rounded-full bg-slate-950 p-2 transition-colors hover:bg-black"
+              className="absolute top-4 right-4 rounded-full bg-slate-950 p-2 transition-colors hover:bg-black"
               onClick={() => setFullscreenPreviewOpen(false)}
             >
               <svg
@@ -11921,7 +11996,7 @@ export function ImageNode({
               </svg>
             </button>
             <button
-              className="absolute top-4 right-16 z-10 inline-flex items-center gap-1.5 rounded-full bg-slate-950 px-3 py-2 text-sm text-white transition-colors hover:bg-black disabled:cursor-not-allowed disabled:opacity-60"
+              className="absolute top-4 right-16 inline-flex items-center gap-1.5 rounded-full bg-slate-950 px-3 py-2 text-sm text-white transition-colors hover:bg-black disabled:cursor-not-allowed disabled:opacity-60"
               disabled={isDownloadingOriginalImage}
               onClick={(event) => {
                 event.preventDefault();
@@ -11940,11 +12015,13 @@ export function ImageNode({
             </button>
 
             {/* 图片 */}
-            <ProgressiveImagePreview
+            <img
               alt={data.prompt || "图片预览"}
               className="max-h-[95vh] max-w-[95vw] object-contain"
-              src={resolveOriginalImageUrl(data.src) || data.src}
+              decoding="async"
-              preview={fullscreenPreviewImage}
+              draggable={false}
+              onClick={(e) => e.stopPropagation()}
+              src={fullscreenPreviewSrc}
               style={activeImageAdjustmentsStyle}
             />
 

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/elements/response.tsx

@@ -15,10 +15,8 @@ import {
   splitOpenClawChartBlocks,
 } from "@/components/elements/openclaw-chart-card";
 import { ResponsePdfDownloadButton } from "@/components/elements/response-pdf-download";
-import { buildImageFallbackUrl, buildImageProxyUrl } from "@/lib/image-delivery";
+import { buildImageProxyUrl } from "@/lib/image-delivery";
 import { splitMarkdownImages } from "@/lib/canvas/markdown-image-segments";
-import { stableStreamingMarkdown } from "@/lib/canvas/markdown-image-streaming";
-import { getGatewayErrorPageMessage } from "@/lib/request-error";
 import {
   Collapsible,
   CollapsibleContent,
@@ -29,7 +27,6 @@ import { cn } from "@/lib/utils";
 
 type ResponseProps = ComponentProps<typeof Streamdown> & {
   collapsibleImageAnalysis?: boolean;
-  isMarkdownStreaming?: boolean;
   enablePdfDownload?: boolean;
   pdfFileName?: string;
   pdfSiteLogo?: string | null;
@@ -442,8 +439,8 @@ function MarkdownTableImagePreview({
           loading="lazy"
           decoding="async"
           onError={(event) => {
-            if (event.currentTarget.src !== buildImageFallbackUrl(src)) {
+            if (event.currentTarget.src !== src) {
-              event.currentTarget.src = buildImageFallbackUrl(src);
+              event.currentTarget.src = src;
             }
           }}
         />
@@ -473,8 +470,8 @@ function MarkdownTableImagePreview({
             decoding="async"
             onClick={(event) => event.stopPropagation()}
             onError={(event) => {
-              if (event.currentTarget.src !== buildImageFallbackUrl(originalSrc)) {
+              if (event.currentTarget.src !== originalSrc) {
-                event.currentTarget.src = buildImageFallbackUrl(originalSrc);
+                event.currentTarget.src = originalSrc;
               }
             }}
           />
@@ -764,7 +761,6 @@ function ResponseReportTableDownloadButton({
 export const Response = ({
   className,
   collapsibleImageAnalysis = false,
-  isMarkdownStreaming = false,
   enablePdfDownload = false,
   pdfFileName,
   pdfSiteLogo,
@@ -1029,10 +1025,7 @@ export const Response = ({
 
   const rawText =
     typeof props.children === "string"
-      ? normalizeMarkdownContent(stableStreamingMarkdown(
+      ? normalizeMarkdownContent(props.children)
-          getGatewayErrorPageMessage(props.children) || props.children,
-          isMarkdownStreaming
-        ))
       : null;
   const shouldShowPdfDownload =
     Boolean(enablePdfDownload && rawText && hasDownloadableReportContent(rawText));
@@ -1062,7 +1055,7 @@ export const Response = ({
     );
   };
 
-  if (rawText !== null) {
+  if (rawText) {
     const analysisSection = collapsibleImageAnalysis
       ? extractImageAnalysisSection(rawText)
       : null;

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/home/lovart/home-image.tsx

@@ -1,68 +0,0 @@
-"use client";
-
-import { useState, type ReactNode } from "react";
-import { isRetiredStorageUrl } from "@/lib/storage/retired-storage";
-
-type HomeImageProps = {
-  sources: Array<string | null | undefined>;
-  alt: string;
-  className?: string;
-  imageClassName?: string;
-  fallback?: ReactNode;
-  loading?: "lazy" | "eager";
-  onUnavailable?: () => void;
-};
-
-function imageCandidates(source: string) {
-  // These two domains are documented aliases for the same gongxiangpan store.
-  // Do not rewrite other buckets, providers, signed URLs or user-supplied hosts.
-  try {
-    const url = new URL(source);
-    if (url.origin === "https://s3.yydd.ai" &&
-      url.pathname.startsWith("/gongxiangpan/") && !url.search && !url.hash) {
-      return [`https://s3.jiansun.vip${url.pathname}`, source];
-    }
-  } catch { /* Relative site assets need no host rewrite. */ }
-  return [source];
-}
-
-/** Keep failed image elements out of view, trying each distinct source once. */
-export function HomeImage(props: HomeImageProps) {
-  const sources = [...new Set(props.sources
-    .filter((url): url is string => Boolean(url?.trim()) && !isRetiredStorageUrl(url))
-    .flatMap(imageCandidates))];
-  return <HomeImageAttempt key={JSON.stringify(sources)} {...props} sources={sources} />;
-}
-
-function HomeImageAttempt({
-  sources, alt, className, imageClassName, fallback, loading = "lazy", onUnavailable,
-}: Omit<HomeImageProps, "sources"> & { sources: string[] }) {
-  const [index, setIndex] = useState(0);
-  const [loaded, setLoaded] = useState(false);
-  const source = sources[index];
-  return (
-    <span className={`relative block overflow-hidden ${className || ""}`}>
-      {!loaded && (
-        <span className={fallback ? "block" : "block aspect-[4/5] rounded-[12px] bg-[#e8e8e8] dark:bg-[#1b1c20]"}>
-          {fallback}
-        </span>
-      )}
-      {source ? (
-        <img
-          key={source}
-          src={source}
-          alt={alt}
-          loading={loading}
-          decoding="async"
-          className={`${imageClassName || ""} ${loaded ? "" : "absolute inset-0 opacity-0"}`}
-          onLoad={() => setLoaded(true)}
-          onError={() => {
-            setLoaded(false);
-            setIndex(index + 1);
-            if (index + 1 >= sources.length) onUnavailable?.();
-          }}
-        />
-      ) : null}
-    </span>
-  );
-}

components/home/lovart/lovart-featured-gallery.tsx

@@ -1,7 +1,6 @@
 import { ReferenceIcon } from "@/components/lovart/reference-icon";
 import { Gem, Heart, Loader2, PlayCircle } from "lucide-react";
-import { useState, type Ref } from "react";
+import type { Ref } from "react";
-import { HomeImage } from "./home-image";
 import type { FeaturedImage } from "./types";
 
 type LovartFeaturedGalleryProps = {
@@ -31,10 +30,6 @@ function getFeaturedPreviewUrl(item: FeaturedImage) {
   return `${source}?imageView2/2/w/900/q/78`;
 }
 
-function imageIdentity(item: FeaturedImage) {
-  return JSON.stringify([item.id, item.thumbnailUrl, item.originalUrl]);
-}
-
 export function LovartFeaturedGallery({
   onOpenProjects,
   onOpenMaterials,
@@ -47,13 +42,6 @@ export function LovartFeaturedGallery({
   isLoadingMoreFeatured,
   setActiveCategory,
 }: LovartFeaturedGalleryProps) {
-  const [unavailable, setUnavailable] = useState<Set<string>>(() => new Set());
-  const [retryVersion, setRetryVersion] = useState(0);
-  const uniqueItems = [...new Map(featuredItems.map((item) => [item.id, item])).values()];
-  const visibleItems = uniqueItems.filter((item) =>
-    Boolean(item.thumbnailUrl || item.originalUrl),
-  );
-  const unavailableCount = uniqueItems.filter(item => unavailable.has(imageIdentity(item))).length;
   return (
     <section
       ref={featuredSectionRef}
@@ -100,48 +88,44 @@ export function LovartFeaturedGallery({
         ))}
       </div>
 
-      {unavailableCount > 0 && (
+      {featuredItems.length === 0 ? (
-        <div role="status" className="mt-4 flex items-center gap-3 text-xs text-black/50 dark:text-white/50">
-          <span>{unavailableCount} 张灵感图片加载失败，请重试。</span>
-          <button
-            type="button"
-            className="shrink-0 underline underline-offset-4 hover:text-black dark:hover:text-white"
-            onClick={() => {
-              setUnavailable(new Set());
-              setRetryVersion((version) => version + 1);
-            }}
-          >
-            重试加载
-          </button>
-        </div>
-      )}
-      {visibleItems.length === 0 ? (
         <div className="mt-[22px] rounded-[10px] border border-dashed border-black/15 bg-[#f7f7f7] p-10 text-center text-[14px] text-black/35 dark:border-white/12 dark:bg-[#141416] dark:text-white/35">
           {isLoadingFeatured
             ? "灵感内容加载中..."
-            : unavailableCount > 0 ? "图片暂时无法加载，请稍后重试。" : "当前没有可展示的灵感数据。"}
+            : "当前没有可展示的灵感数据。"}
         </div>
       ) : (
         <div className="mt-6 columns-1 gap-4 sm:columns-2 lg:columns-4">
-          {visibleItems.map((item) => (
+          {featuredItems.map((item, index) => (
             <button
-              key={`${imageIdentity(item)}:${retryVersion}`}
+              key={item.id}
               type="button"
-              disabled={unavailable.has(imageIdentity(item))}
               onClick={() =>
                 window.open(item.originalUrl || item.thumbnailUrl, "_blank")
               }
               className="group mb-[24px] block w-full cursor-pointer break-inside-avoid text-left"
             >
-              {unavailable.has(imageIdentity(item)) ? (
+              <img
-                <div className="flex aspect-[4/5] items-center justify-center rounded-[12px] bg-muted p-4 text-sm text-muted-foreground">图片加载失败</div>
+                src={getFeaturedPreviewUrl(item)}
-              ) : <HomeImage
-                sources={[getFeaturedPreviewUrl(item), item.thumbnailUrl, item.originalUrl]}
                 alt={item.prompt || "灵感图"}
                 loading="lazy"
-                onUnavailable={() => setUnavailable((previous) => new Set(previous).add(imageIdentity(item)))}
+                decoding="async"
-                imageClassName="block h-auto w-full rounded-[12px] bg-[#e8e8e8] object-cover transition-transform duration-150 ease-out will-change-transform group-hover:scale-[1.008] dark:bg-[#1b1c20]"
+                onError={(event) => {
-              />}
+                  const image = event.currentTarget;
+                  const fallbackUrl = item.originalUrl || item.thumbnailUrl;
+
+                  if (
+                    !fallbackUrl ||
+                    image.dataset.fallbackApplied === "true"
+                  ) {
+                    return;
+                  }
+
+                  image.dataset.fallbackApplied = "true";
+                  image.src = fallbackUrl;
+                }}
+                className="block h-auto w-full rounded-[12px] bg-[#e8e8e8] object-cover transition-transform duration-150 ease-out will-change-transform group-hover:scale-[1.008] dark:bg-[#1b1c20]"
+              />
               <div className="mt-[8px] flex h-[22px] items-center justify-between text-[11px] font-normal leading-none text-[#b8b8b8] dark:text-white/45">
                 <div className="flex min-w-0 items-center gap-[6px] pr-2">
                   <span className="flex h-[16px] w-[16px] shrink-0 items-center justify-center overflow-hidden rounded-full bg-[#d8d8d8] text-[8px] font-medium text-white">
@@ -154,11 +138,11 @@ export function LovartFeaturedGallery({
                 <div className="inline-flex shrink-0 items-center gap-[7px] text-[11px] leading-none">
                   <span className="inline-flex items-center gap-[4px]">
                     <PlayCircle className="h-[11px] w-[11px]" strokeWidth={2} />
-                    {(1200 + featuredItems.indexOf(item) * 37).toLocaleString()}
+                    {(1200 + index * 37).toLocaleString()}
                   </span>
                   <span className="inline-flex items-center gap-[4px]">
                     <Heart className="h-[11px] w-[11px]" strokeWidth={2} />
-                    {(20 + (featuredItems.indexOf(item) % 9) * 11).toLocaleString()}
+                    {(20 + (index % 9) * 11).toLocaleString()}
                   </span>
                   <Gem className="h-[11px] w-[11px]" strokeWidth={2} />
                 </div>

components/home/lovart/lovart-sidebar.tsx

@@ -13,7 +13,6 @@ import {
 } from "@/components/ui/tooltip";
 import type { LovartHomeSidebarItemKey } from "@/lib/home/lovart-sidebar-config";
 import type { NavLink, TutorialVideo } from "./types";
-import { HomeImage } from "./home-image";
 
 type SidebarItem = {
   iconUrl?: string | null;
@@ -184,18 +183,17 @@ export function LovartSidebar({
                 onClick={onHome}
                 title={siteName}
               >
-                  <HomeImage
+                {siteLogo ? (
-                    sources={[siteLogo]}
+                  <img
+                    src={siteLogo}
                     alt={siteName}
-                    loading="eager"
                     className="h-7 w-7 rounded-full object-cover"
-                    imageClassName="h-7 w-7 rounded-full object-cover"
+                  />
-                    fallback={
+                ) : (
-                      <span aria-hidden="true" className="flex h-7 w-7 items-center justify-center rounded-full bg-black text-[12px] font-semibold text-white dark:bg-white dark:text-black">
+                  <span className="flex h-7 w-7 items-center justify-center rounded-full bg-black text-[12px] font-semibold text-white dark:bg-white dark:text-black">
                     {siteName.slice(0, 1).toUpperCase()}
                   </span>
-                    }
+                )}
-                  />
               </button>
             </TooltipTrigger>
             <TooltipContent side="right">{siteName}</TooltipContent>

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/image-preview.tsx

@@ -1,12 +1,10 @@
 "use client";
-import { isRetiredStorageUrl, normalizeLegacyAliyunStorageUrl, RETIRED_STORAGE_MESSAGE } from "@/lib/storage/retired-storage";
 
 import dynamic from "next/dynamic";
 import React, { useState, useEffect } from "react";
 import { X, Download, Edit, Target, Paintbrush, Sparkles, Scissors, Expand, Maximize2, Move3D, Droplet } from "lucide-react";
 import { toast } from "sonner";
-import { buildImageProxyUrl } from "@/lib/image-delivery";
+import { buildImageProxyUrl, getImageDownloadExtension } from "@/lib/image-delivery";
-import { downloadOriginalImage, getCanvasImageDownloadErrorMessage } from "@/lib/client/canvas-image-download";
 
 const ImageAnnotator = dynamic(
   () => import("./image-annotator").then((module) => module.ImageAnnotator),
@@ -24,6 +22,25 @@ const AngleEditDialog = dynamic(
   }
 );
 
+function triggerBrowserDownload(
+  url: string,
+  filename?: string,
+  options?: { openInNewTab?: boolean }
+) {
+  const link = document.createElement("a");
+  link.href = url;
+  if (filename) {
+    link.download = filename;
+  }
+  if (options?.openInNewTab) {
+    link.target = "_blank";
+  }
+  link.rel = "noopener noreferrer";
+  document.body.appendChild(link);
+  link.click();
+  document.body.removeChild(link);
+}
+
 export function ImagePreview({ 
   src, 
   alt,
@@ -220,12 +237,24 @@ export function ImagePreview({
       toast.error("下载失败，请重试");
       return;
     }
+    const filenameBase = `generated-image-${Date.now()}`;
     try {
-      await downloadOriginalImage({ url: safeOriginalUrl });
+      const response = await fetch(
-      toast.success("原图已开始下载");
+        buildImageProxyUrl(safeOriginalUrl, { delivery: "original" })
+      );
+      if (!response.ok) {
+        throw new Error(`下载失败（${response.status}）`);
+      }
+      const blob = await response.blob();
+      const extension = getImageDownloadExtension(blob.type);
+      const filename = extension ? `${filenameBase}.${extension}` : filenameBase;
+      const url = window.URL.createObjectURL(blob);
+      triggerBrowserDownload(url, filename);
+      window.URL.revokeObjectURL(url);
+      toast.success("下载成功");
     } catch (error) {
       console.error("下载失败:", error);
-      toast.error(getCanvasImageDownloadErrorMessage(error));
+      toast.error(error instanceof Error && error.message.includes("无法确认原图") ? error.message : "原图下载失败，请重试");
     }
   };
 
@@ -277,10 +306,6 @@ export function ImagePreview({
     }
   };
 
-  if (isRetiredStorageUrl(src) || isRetiredStorageUrl(original)) {
-    return <div role="status" className="my-2 rounded-lg border bg-muted p-4 text-sm text-muted-foreground">{RETIRED_STORAGE_MESSAGE}</div>;
-  }
-
   return (
     <>
       {/* 缩略图（显示压缩后的缩略图）*/}
@@ -307,18 +332,9 @@ export function ImagePreview({
           }}
           loading="lazy"
           decoding="async"
-          onLoad={(event) => {
-            event.currentTarget.style.aspectRatio = "";
-            event.currentTarget.parentElement?.style.removeProperty("width");
-            event.currentTarget.alt = "Generated Image";
-          }}
           onError={(event) => {
-            if (!normalizeLegacyAliyunStorageUrl(thumbnail || original) && event.currentTarget.src !== (thumbnail || original)) {
+            if (event.currentTarget.src !== (thumbnail || original)) {
               event.currentTarget.src = thumbnail || original;
-            } else if (!compactGrid) {
-              event.currentTarget.style.aspectRatio = "1";
-              event.currentTarget.parentElement?.style.setProperty("width", "100%");
-              event.currentTarget.alt = "预览暂不可用，可尝试下载原图";
             }
           }}
           onClick={() => setIsOpen(true)}
@@ -610,7 +626,7 @@ export function ImagePreview({
             onClick={(e: React.MouseEvent) => e.stopPropagation()}
           >
             <img
-              src={normalizeLegacyAliyunStorageUrl(original) ? buildImageProxyUrl(original) : original}
+              src={original}
               alt="Generated Image - Original"
               className={`max-h-[90vh] max-w-full rounded-lg object-contain ${
                 isAnnotationMode ? "cursor-crosshair" : ""

components/message.tsx

@@ -7,7 +7,6 @@ import type { Vote } from "@/lib/db/schema";
 import type { ChatMessage } from "@/lib/types";
 import { cn, sanitizeText } from "@/lib/utils";
 import { extractImageUrlsFromText } from "@/lib/image-url";
-import { getGatewayErrorPageMessage } from "@/lib/request-error";
 import { useDataStream } from "./data-stream-provider";
 import { DocumentToolResult } from "./document";
 import { DocumentPreview } from "./document-preview";
@@ -522,7 +521,7 @@ const PurePreviewMessage = ({
                 const displayModelName = extractedModelName || inferredFallbackModelName;
                 const filteredText =
                   message.role === "assistant"
-                    ? getGatewayErrorPageMessage(contentWithoutBadge) || appendImageDoneSummary(contentWithoutBadge)
+                    ? appendImageDoneSummary(contentWithoutBadge)
                     : contentWithoutBadge;
                 const useAssistantTypewriter =
                   message.role === "assistant" &&

components/preview-attachment.tsx

@@ -9,7 +9,6 @@ import { Button } from "./ui/button";
 import { X, Download, Target, Paintbrush } from "lucide-react";
 import { toast } from "sonner";
 import { ImageAnnotator } from "./image-annotator";
-import { downloadOriginalImage, getCanvasImageDownloadErrorMessage } from "@/lib/client/canvas-image-download";
 
 export const PreviewAttachment = ({
   attachment,
@@ -74,11 +73,18 @@ export const PreviewAttachment = ({
   // 下载图片函数
   const handleDownload = async () => {
     try {
-      await downloadOriginalImage({ url, name: name ?? "image" });
+      const response = await fetch(url);
-      toast.success("原图已开始下载");
+      const blob = await response.blob();
+      const downloadUrl = window.URL.createObjectURL(blob);
+      const link = document.createElement("a");
+      link.href = downloadUrl;
+      link.download = name ?? `image-${Date.now()}.jpg`;
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      window.URL.revokeObjectURL(downloadUrl);
     } catch (error) {
       console.error("下载失败:", error);
-      toast.error(getCanvasImageDownloadErrorMessage(error));
     }
   };
 

components/progressive-image-preview.tsx

@@ -1,74 +0,0 @@
-"use client";
-
-import { useEffect, useState, type CSSProperties, type MouseEventHandler } from "react";
-import { buildImageProxyUrl, getFullscreenPreviewSize } from "@/lib/image-delivery";
-
-export type LoadedImagePreview = { src: string; width: number; height: number };
-
-/** Keep the already displayed image visible while its larger preview loads. */
-export function ProgressiveImagePreview({
-  src,
-  preview,
-  alt,
-  className,
-  style,
-  onClick,
-}: {
-  src: string;
-  preview: LoadedImagePreview;
-  alt: string;
-  className?: string;
-  style?: CSSProperties;
-  onClick?: MouseEventHandler<HTMLImageElement>;
-}) {
-  const size = getFullscreenPreviewSize({
-    imageWidth: preview.width,
-    imageHeight: preview.height,
-    viewportWidth: typeof window === "undefined" ? 1280 : window.innerWidth,
-    viewportHeight: typeof window === "undefined" ? 900 : window.innerHeight,
-    pixelRatio: typeof window === "undefined" ? 1 : window.devicePixelRatio,
-  });
-  const fullSrc = buildImageProxyUrl(src, {
-    delivery: "proxy",
-    width: size.requestWidth,
-    quality: 86,
-    format: "webp",
-  });
-  const [loadedSrc, setLoadedSrc] = useState("");
-  const [failedSrc, setFailedSrc] = useState("");
-  const ready = fullSrc === preview.src || loadedSrc === fullSrc;
-  const failed = failedSrc === fullSrc;
-
-  useEffect(() => {
-    if (fullSrc === preview.src) return;
-    const image = new Image();
-    image.decoding = "async";
-    image.onload = () => setLoadedSrc(fullSrc);
-    image.onerror = () => setFailedSrc(fullSrc);
-    image.src = fullSrc;
-    return () => {
-      image.onload = null;
-      image.onerror = null;
-      image.removeAttribute("src");
-    };
-  }, [fullSrc, preview.src]);
-
-  return (
-    <div className="relative flex items-center justify-center" onClick={(event) => event.stopPropagation()}>
-      <img
-        alt={alt}
-        className={className}
-        decoding="async"
-        draggable={false}
-        onClick={onClick}
-        src={ready ? fullSrc : preview.src}
-        style={{ width: size.displayWidth, ...style }}
-      />
-      {!ready && (
-        <div role="status" className="pointer-events-none absolute bottom-4 max-w-full rounded-lg bg-black/80 px-3 py-2 text-center text-sm text-white">
-          {failed ? "高清预览加载失败，已保留当前预览；可关闭后重试或下载原图" : "正在加载高清预览…"}
-        </div>
-      )}
-    </div>
-  );
-}

components/scene-fusion-view.tsx

@@ -1,5 +1,4 @@
 "use client";
-import { downloadOriginalImage, getCanvasImageDownloadErrorMessage } from "@/lib/client/canvas-image-download";
 
 import {
   ArrowLeft,
@@ -2074,9 +2073,18 @@ export function SceneFusionView({
 
   const downloadImage = async (url: string, filename: string) => {
     try {
-      await downloadOriginalImage({ url, name: filename });
+      const response = await fetch(url);
-    } catch (error) {
+      const blob = await response.blob();
-      toast.error(getCanvasImageDownloadErrorMessage(error));
+      const blobUrl = URL.createObjectURL(blob);
+      const link = document.createElement("a");
+      link.href = blobUrl;
+      link.download = filename;
+      document.body.appendChild(link);
+      link.click();
+      document.body.removeChild(link);
+      setTimeout(() => URL.revokeObjectURL(blobUrl), 100);
+    } catch {
+      window.open(url, "_blank");
     }
   };
 

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。

docs/retired-storage.md

@@ -1,33 +0,0 @@
-# 旧存储停用与七牛上传核查
-
-## s3.1080p.hk
-
-该存储已永久停用，文件不可恢复。它与 2026 年 10 月 14 日迁入七牛的阿里云 OSS 资源不是同一套存储。
-
-- 首页精选只展示原文件仍在有效存储上的记录，统计和分页按同一条件计算。
-- 历史生成记录、聊天、画布节点保留。旧图片显示永久失效说明，不再发起下载、归档或上传到旧桶。
-- 单图下载和代理返回 HTTP 410 / `storage_retired`；批量下载将对应文件记为失败，不重试旧源。
-- 其他存储的临时加载失败仍展示错误卡片和重试入口。
-- 黑色 Logo 为 `public/brand/logo-black.png`；白色版使用 SVG 色彩滤镜保留同一 PNG 的透明度和轮廓。两者随应用发布，不依赖对象存储。
-
-一次性配置整理：在生产运行目录执行 `node scripts/storage/retire-1080p-storage.cjs` 预览，增加 `--apply` 停用旧配置、取消失效图片的精选标记并更新 Logo。执行前将原字段保存至 `/var/lib/ai-chatbot/retired-storage-20261103/`。该操作不删除图片记录或对象文件。
-
-2026-11-03 核查：旧源生成记录 67,267 条；精选 65 条中 59 条来自旧源；旧源图片归档任务为 0。默认上传存储为七牛 `gongxiangpan-sc`。
-
-## 2026-10-14 上传峰值
-
-统计时区 UTC+8，GB 按十进制计算。数据来自七牛只读上传统计、对象清单和生产机迁移记录。
-
-| 范围 | 对象数 | 字节数 | GB |
-| --- | ---: | ---: | ---: |
-| 七牛当天上传流量 | — | 825,113,404,030 | 825.11 |
-| 当天写入且仍存在的 `legacy-oss/demo-sparkai/` | 409,821 | 812,788,883,061 | 812.79 |
-| 当天写入且仍存在的 `legacy-s3/gongxiangpan/` | 539 | 865,360,590 | 0.87 |
-| 当天写入且仍存在的其他目录 | 3,382 | 9,735,597,543 | 9.74 |
-| 上传流量与当天现存对象大小差额 | — | 1,723,562,836 | 1.72 |
-
-813.65 GB 位于本项目历史迁移目录。主要写入发生在 19:00–21:00。源分别为 `demo-sparkai.oss-cn-shanghai.aliyuncs.com` 和 `s3.jiansun.vip/gongxiangpan`，符合仓库迁移脚本的目标路径。
-
-生产机 `/var/lib/ai-chatbot/aliyun-qiniu-20261014/verified.jsonl` 有 349,784 个去重后的目标对象、629,920,510,316 字节（629.92 GB）的逐对象验证记录。当前迁移目录比该回执多 60,576 个对象、183.73 GB；目录归属能够确认，现有回执没有覆盖这些对象。
-
-桶由多个业务共用。其他目录中 `uploads/` 为 7.97 GB，其余包含 `dabi/`、`exports/`、`accio-ghost/` 和 `shared-drive/`，不能全部归为画布新生成资源。上传统计包含传输量，对象清单反映现存对象，不足以单独解释最后 1.72 GB 的差额。本次未删除或改动七牛对象。

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/admin/media-records.ts

@@ -1,83 +0,0 @@
-import { sql, type SQL } from "drizzle-orm";
-
-export function parseMediaQuery(params: URLSearchParams) {
-  const integer = (key: string, fallback: number, max: number) => {
-    const value = Number(params.get(key));
-    return Number.isInteger(value) && value > 0 ? Math.min(value, max) : fallback;
-  };
-  const date = (key: string) => {
-    const value = params.get(key) || "";
-    return /^\d{4}-\d{2}-\d{2}$/.test(value) && Number.isFinite(Date.parse(value)) ? value : "";
-  };
-  return {
-    page: integer("page", 1, 100000),
-    pageSize: integer("pageSize", 40, 100),
-    search: (params.get("search") || "").trim().slice(0, 128),
-    type: ["image", "video"].includes(params.get("type") || "") ? params.get("type")! : "all",
-    model: params.get("model") || "",
-    featured: params.get("featured") === "true",
-    startDate: date("startDate"),
-    endDate: date("endDate"),
-  };
-}
-
-export function mediaRecordsQuery(params: ReturnType<typeof parseMediaQuery>) {
-  const conditions: SQL[] = [sql`true`];
-  if (params.search)
-    conditions.push(
-      sql`exists (select 1 from "User" u where u.id=m."userId" and (u.name ilike ${`%${params.search}%`} or u.email ilike ${`%${params.search}%`}))`,
-    );
-  if (params.startDate) conditions.push(sql`m."createdAt" >= ${params.startDate}::date`);
-  if (params.endDate)
-    conditions.push(sql`m."createdAt" < ${params.endDate}::date + interval '1 day'`);
-  if (params.model) conditions.push(sql`(m."modelId" = ${params.model} or m."modelId" in (select id::text from "AiModel" where "modelId"=${params.model}))`);
-  const where = sql.join(conditions, sql` and `);
-  const videoFilters: SQL[] = [sql`true`];
-  if (params.startDate)
-    videoFilters.push(sql`v."createdAt">=${params.startDate}::date - interval '8 hours'`);
-  if (params.endDate)
-    videoFilters.push(sql`v."createdAt"<${params.endDate}::date+interval '16 hours'`);
-  if (params.model) videoFilters.push(sql`(v."video_metadata"->>'model'=${params.model} or v."video_metadata"->>'model' in (select id::text from "AiModel" where "modelId"=${params.model}))`);
-  if (params.search)
-    videoFilters.push(
-      sql`exists (select 1 from "User" u where u.id=c."userId" and (u.name ilike ${`%${params.search}%`} or u.email ilike ${`%${params.search}%`}))`,
-    );
-  return sql`
-    with video_candidates as materialized (
-      select v.id, v."chatId", v."createdAt" + interval '8 hours' as "createdAt", v."video_metadata", c."userId",
-        coalesce(nullif(v."permanent_video_url", ''), nullif(v."temporary_video_url", ''),
-          (regexp_match(t.body, '<video[^>]+src="([^"]+)"', 'i'))[1],
-          (regexp_match(t.body, '(https?://[^[:space:]"<>]+\\.mp4[^[:space:]"<>)]*)', 'i'))[1]) as url
-      from "Message_v2" v join "Chat" c on c.id=v."chatId"
-      cross join lateral (select case when jsonb_typeof(v.parts::jsonb)='array'
-        then (select string_agg(p->>'text', E'\\n') from jsonb_array_elements(v.parts::jsonb) p)
-        else v.parts::jsonb #>> '{}' end as body) t
-      where ${params.type !== "image" && !params.featured} and v.role='assistant'
-        and ${sql.join(videoFilters, sql` and `)}
-        and (v."permanent_video_url" is not null or v."temporary_video_url" is not null or v.parts::text ilike '%<video%' or v.parts::text ilike '%.mp4%')
-    ), media as not materialized (
-      select g.id, 'image'::text as kind, g."createdAt", g."userId", g."modelId", null::text as url
-      from "GeneratedImage" g where ${params.type !== "video"} and (${!params.featured} or g."isFeatured")
-      union all
-      select id, 'video', "createdAt", "userId", "video_metadata"->>'model', url
-      from video_candidates where url is not null
-    ), filtered as not materialized (select * from media m where ${where}),
-    totals as (select count(*)::int as total, count(*) filter(where kind='image')::int as images, count(*) filter(where kind='video')::int as videos from filtered),
-    page_rows as (
-      select * from filtered order by "createdAt" desc, kind, id desc
-      limit ${params.pageSize} offset ${(params.page - 1) * params.pageSize}
-    )
-    select t.total, t.images as "totalImages", t.videos as "totalVideos",
-      coalesce((select jsonb_agg(jsonb_build_object(
-        'id', case when p.kind='video' then 'video-'||p.id::text else p.id::text end,
-        'recordType',p.kind,'userId',p."userId",'userName',u.name,'userEmail',u.email,'userDepartment',u.department,
-        'createdAt',p."createdAt",'modelId',p."modelId",'chatId',coalesce(g."chatId",v."chatId"),
-        'thumbnailUrl',coalesce(p.url,g."thumbnailUrl"),'originalUrl',coalesce(p.url,g."originalUrl"),'videoUrl',p.url,
-        'prompt',coalesce(g.prompt,v."video_metadata"->>'prompt'),'imageSize',coalesce(g."imageSize",v."video_metadata"->>'resolution'),
-        'isFeatured',coalesce(g."isFeatured",false),'featuredCategory',g."featuredCategory",'featuredAt',g."featuredAt" + interval '8 hours'
-      ) order by p."createdAt" desc,p.kind,p.id desc)
-      from page_rows p left join "User" u on u.id=p."userId"
-      left join "GeneratedImage" g on p.kind='image' and g.id=p.id
-      left join "Message_v2" v on p.kind='video' and v.id=p.id),'[]'::jsonb) as records
-    from totals t`;
-}

lib/admin/preview-queue.ts

@@ -1,31 +0,0 @@
-// One queue for the records screen: visible previews get four network slots.
-const waiting: Array<() => void> = [];
-let active = 0;
-function pump() {
-  while (active < 4 && waiting.length) waiting.shift()?.();
-}
-export function queuePreview(start: (release: () => void) => void) {
-  let released = false;
-  let started = false;
-  const release = () => {
-    if (released) return;
-    released = true;
-    if (started) active--;
-    else {
-      const index = waiting.indexOf(run);
-      if (index >= 0) waiting.splice(index, 1);
-    }
-    pump();
-  };
-  const run = () => {
-    started = true;
-    active++;
-    start(release);
-  };
-  waiting.push(run);
-  pump();
-  // Active fetches release their slot in finally, after abort has settled.
-  return () => {
-    if (!started) release();
-  };
-}

lib/admin/record-time.ts

@@ -1,7 +0,0 @@
-export function formatRecordTime(value: string) {
-  // The admin API normalizes each storage convention to Beijing wall-clock time.
-  return value
-    .replace("T", " ")
-    .replace(/(?:\.\d+)?Z$/, "")
-    .slice(0, 16);
-}

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/scene-run-recovery.ts

@@ -1,15 +0,0 @@
-import { extractImageUrlsFromText } from "@/lib/image-url";
-import { messageText } from "./replacement-run-recovery";
-
-type Message = { id: string; role: string; parts?: unknown[] };
-
-export function getSceneRunResult(messages: Message[], requestMessageId: string) {
-  const index = messages.findIndex((message) => message.id === requestMessageId && message.role === "user");
-  if (index < 0) return null;
-  const replies = messages.slice(index + 1);
-  // A later user turn belongs to another run.
-  if (replies.some((message) => message.role === "user")) return null;
-  const urls = new Set(replies.filter((message) => message.role === "assistant")
-    .flatMap((message) => extractImageUrlsFromText(messageText(message))));
-  return { count: urls.size };
-}

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/dynamic-provider.ts

@@ -1,5 +1,4 @@
 import "server-only";
-import { isImageModelBalanceBlocked } from "@/lib/ai/runtime/image-balance";
 
 import { createOpenAI } from "@ai-sdk/openai";
 import {
@@ -419,7 +418,7 @@ export async function getDynamicModel(
 ): Promise<LanguageModel | null> {
   try {
     const model = await getAiModelById({ id: modelId });
-    if (!model || !model.isEnabled || (model.supportsImageGen && isImageModelBalanceBlocked(model))) {
+    if (!model || !model.isEnabled) {
       logger.warn("model unavailable", { modelId });
       return null;
     }

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

@@ -5,17 +5,15 @@
  * - qwen-image-edit-plus 系列：支持 1-6 张输出，自定义分辨率，提示词优化
  * - qwen-image-edit：仅支持 1 张输出
  * 
- * API 文档：https://help.aliyun.com/en/model-studio/qwen-image-generation-and-editing-api-reference
+ * API 文档：https://help.aliyun.com/zh/model-studio/developer-reference/qwen-vl-plus
  */
 
 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";
 import {
   isAlibabaQwenImage3ModelId,
   resolveAlibabaImageAsyncEndpoint,
@@ -48,8 +46,6 @@ interface AlibabaImageResponse {
   output?: {
     task_id?: string;
     task_status?: string;
-    code?: string;
-    message?: string;
     choices?: Array<{
       finish_reason: string;
       message: {
@@ -126,21 +122,11 @@ async function fetchImageBufferWithRetry(
   timeoutMs = ALIBABA_IMAGE_FETCH_TIMEOUT_MS,
   attempts = 2
 ): Promise<{ buffer: Buffer; contentType: string | null }> {
-  if (imageUrl.startsWith("data:image/")) {
-    const match = imageUrl.match(/^data:(image\/[a-z0-9.+-]+);base64,(.+)$/i);
-    if (!match) throw new Error("输入图片数据格式无效");
-    return { buffer: Buffer.from(match[2], "base64"), contentType: match[1] };
-  }
-  let sourceUrl = imageUrl;
-  if (normalizeLegacyAliyunStorageUrl(sourceUrl)) {
-    const { resolveLegacyAliyunStorageUrl } = await import("@/lib/storage/image-archive-db");
-    sourceUrl = await resolveLegacyAliyunStorageUrl(sourceUrl);
-  }
   let lastError: unknown = null;
   for (let attempt = 1; attempt <= attempts; attempt += 1) {
     const ctx = createAbortSignal(timeoutMs);
     try {
-      const response = await fetch(sourceUrl, {
+      const response = await fetch(imageUrl, {
         cache: "no-store",
         redirect: "follow",
         signal: ctx.signal,
@@ -166,7 +152,7 @@ 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 {
@@ -182,7 +168,7 @@ function calculateAlibabaSizeByAspect(aspectValue: number, baseSize: number): st
 }
 
 async function inferAspectRatioFromImageUrl(imageUrl: string): Promise<number | null> {
-  if (!/^(?:https?:\/\/|data:image\/)/i.test(imageUrl)) return null;
+  if (!/^https?:\/\//i.test(imageUrl)) return null;
 
   try {
     const { buffer } = await fetchImageBufferWithRetry(imageUrl);
@@ -200,7 +186,7 @@ async function inferAspectRatioFromImageUrl(imageUrl: string): Promise<number |
 async function inferImageDimensionsFromImageUrl(
   imageUrl: string,
 ): Promise<{ width: number; height: number; aspectRatio: number } | null> {
-  if (!/^(?:https?:\/\/|data:image\/)/i.test(imageUrl)) return null;
+  if (!/^https?:\/\//i.test(imageUrl)) return null;
 
   try {
     const { buffer } = await fetchImageBufferWithRetry(imageUrl);
@@ -290,20 +276,12 @@ 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();
@@ -324,14 +302,6 @@ async function prepareAlibabaInputImageUrl(
     maxSide: ALIBABA_MAX_INPUT_SIDE,
     modelId,
   });
-  if (isAlibabaQwenImage3ModelId(modelId)) {
-    if (prepared.buffer.length > maxInputBytes) {
-      throw new Error("输入图片超过模型大小限制，请先压缩图片后重试");
-    }
-    const format = prepared.transformed ? prepared.extension : metadata.format;
-    const mime = format === "jpg" || format === "jpeg" ? "image/jpeg" : `image/${format}`;
-    return `data:${mime};base64,${prepared.buffer.toString("base64")}`;
-  }
   if (!prepared.transformed) {
     return normalizedUrl;
   }
@@ -570,7 +540,7 @@ 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();
@@ -594,11 +564,9 @@ 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${taskStatus || "失败"}`;
-        const code = task.output?.code || task.code;
         throw new AlibabaImageTerminalTaskError(
-          `${reason}${code ? `（${code}）` : ""}（task_id: ${taskId}）`,
+          task.message || `阿里图片任务${taskStatus || "失败"}（task_id: ${taskId}）`,
         );
       }
       lastPollError = null;
@@ -610,7 +578,7 @@ 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 +700,6 @@ 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
       }) => {
@@ -802,16 +769,16 @@ export function createAlibabaImage({ apiKey, baseURL }: AlibabaImageConfig) {
           }
           
           const selectedImageUrls = selectAlibabaInputImageUrls(imageUrls, 3);
-          const preparedImageUrls = await Promise.all(
+          const preparedImageUrls: string[] = [];
-            selectedImageUrls.map((imageUrl) =>
+          for (const imageUrl of selectedImageUrls) {
-              prepareAlibabaInputImageUrl(
+            preparedImageUrls.push(
+              await prepareAlibabaInputImageUrl(
                 imageUrl,
                 activeModelId,
                 options.imageParams?.inputImageRoleByUrl?.[imageUrl],
-                options.referenceImageBuffers?.get(imageUrl),
-              ),
               ),
             );
+          }
 
           // qwen-image-3.0 同时支持文生图与图生图；旧编辑模型仍必须上传参考图。
           if (
@@ -949,9 +916,7 @@ 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

@@ -48,7 +48,6 @@ import {
   VIP98K_REFERENCE_STAGING_KEY_PREFIX,
 } from "@/lib/ai/vip98k-reference-staging";
 import { createLogger } from "@/lib/observability/logger";
-import { getUserFacingImageGenerationErrorMessage } from "@/lib/request-error";
 import { createDeferredUploadedImage } from "@/lib/storage/image-archive";
 import {
   IMAGE_UPLOAD_MAX_BYTES,
@@ -99,7 +98,6 @@ 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 +681,25 @@ 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 +707,17 @@ 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 +737,6 @@ 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 +851,9 @@ 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 +871,6 @@ 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,
@@ -1044,77 +1023,6 @@ function getConfiguredPollSeconds(config: Vip98kModelRuntimeConfig, key: string,
   return Math.min(Math.max(value, 1), 3600);
 }
 
-function isSynchronousImagePath(path: string) {
-  return /^\/v1\/images\/(?:generations|edits)\/?$/.test(path);
-}
-
-async function recoverImageSubmission(params: {
-  apiKey: string;
-  baseURL: string;
-  modelId: string;
-  path: string;
-  idempotencyKey: string;
-  pollIntervalMs: number;
-  maxPollMs: number;
-}) {
-  if (!isSynchronousImagePath(params.path)) return null;
-  const startedAt = Date.now();
-  const deadline = startedAt + params.maxPollMs;
-  logger.info("recovering original image request", { modelId: params.modelId });
-
-  while (Date.now() < deadline) {
-    try {
-      const lookup = await fetch(`${params.baseURL}/api/external/requests/by-idempotency-key`, {
-        cache: "no-store",
-        headers: {
-          Authorization: `Bearer ${params.apiKey}`,
-          "Idempotency-Key": params.idempotencyKey,
-        },
-        signal: AbortSignal.timeout(Math.min(60_000, deadline - Date.now())),
-      });
-      if ([401, 403, 404, 410].includes(lookup.status)) return null;
-      if (lookup.ok) {
-        const state = toRecord(await parseJsonResponse(lookup));
-        if (!state || !["processing", "succeeded"].includes(String(state.status))) return null;
-        if (state.status === "succeeded") {
-          if (state.result_available !== true || !state.request_id) return null;
-          const result = await fetch(
-            `${params.baseURL}/api/external/requests/${encodeURIComponent(String(state.request_id))}/result`,
-            {
-              cache: "no-store",
-              headers: { Authorization: `Bearer ${params.apiKey}` },
-              signal: AbortSignal.timeout(Math.max(1, Math.min(60_000, deadline - Date.now()))),
-            },
-          );
-          if ([401, 403, 404, 410].includes(result.status)) return null;
-          if (result.ok) {
-            const payload = await parseJsonResponse(result);
-            const outputs = collectOutputUrls(payload);
-            if (!outputs.length) {
-              throw new ProviderTaskUncertainError("原生图请求已完成，但未取回图片结果，请勿重复生成");
-            }
-            logger.info("original image request recovered", {
-              modelId: params.modelId,
-              providerRequestId: state.request_id,
-              outputCount: outputs.length,
-              durationMs: Date.now() - startedAt,
-            });
-            return { payload, taskId: extractTaskId(payload), resultPath: extractResultPath(payload), outputs };
-          }
-        }
-      }
-    } catch (error) {
-      if (error instanceof ProviderTaskUncertainError) throw error;
-    }
-    await delay(Math.max(0, Math.min(params.pollIntervalMs, deadline - Date.now())));
-  }
-  logger.warn("original image request recovery timed out", {
-    modelId: params.modelId,
-    durationMs: Date.now() - startedAt,
-  });
-  return null;
-}
-
 async function submitTask(params: {
   apiKey: string;
   baseURL?: string | null;
@@ -1127,8 +1035,6 @@ async function submitTask(params: {
   submissionTimeoutMs: number;
   maxSubmissionAttempts: number;
   submissionRetryBaseDelayMs: number;
-  pollIntervalMs: number;
-  maxPollMs: number;
 }) {
   const baseURL = normalizeVip98kBaseUrl(params.baseURL);
   const path = String(params.path || "/api/external/task/generate").trim();
@@ -1192,9 +1098,7 @@ async function submitTask(params: {
         signal: AbortSignal.timeout(params.submissionTimeoutMs),
       });
     } catch (error) {
-      const recovered = await recoverImageSubmission({ ...params, baseURL, path, idempotencyKey });
+      if (attempt >= maxAttempts) {
-      if (recovered) return recovered;
-      if (isSynchronousImagePath(path) || attempt >= maxAttempts) {
         logger.error("provider submission transport failed", {
           modelId: params.modelId,
           path,
@@ -1240,14 +1144,6 @@ async function submitTask(params: {
       };
     }
 
-    if ([502, 504, 524].includes(response.status)) {
-      const recovered = await recoverImageSubmission({ ...params, baseURL, path, idempotencyKey });
-      if (recovered) return recovered;
-      if (isSynchronousImagePath(path)) {
-        throw new ProviderTaskUncertainError(`供应商提交结果未确认，可能仍在处理，请勿重复生成：${getUserFacingImageGenerationErrorMessage({ message: extractErrorMessage(payload), status: response.status })} (HTTP ${response.status})`);
-      }
-    }
-
     const errorMessage = extractErrorMessage(payload);
     const stagedMediaRetryDelayMs = getVip98kStagedMediaRetryDelay({
       status: response.status,
@@ -1292,9 +1188,9 @@ async function submitTask(params: {
       continue;
     }
     if ((response.status === 409 && /idempotency\s+key.*(?:still\s+in\s+progress|processing)/i.test(errorMessage))
-      || [502, 504, 524].includes(response.status)
+      || [502, 504].includes(response.status)
       || /pending\s+safe\s+reconciliation|request\s+outcome\s+(?:is\s+)?unknown|final\s+outcome\s+could\s+not\s+be\s+confirmed/i.test(errorMessage))
-      throw new ProviderTaskUncertainError(`供应商提交结果未确认，可能仍在处理，请勿重复生成：${getUserFacingImageGenerationErrorMessage({ message: errorMessage, status: response.status })} (HTTP ${response.status})`);
+      throw new ProviderTaskUncertainError(`供应商提交结果未确认，可能仍在处理，请勿重复生成：${errorMessage} (HTTP ${response.status})`);
     throw new Error(`${errorMessage} (HTTP ${response.status})`);
   }
 
@@ -1365,7 +1261,6 @@ export async function submitVip98kExternalTask(params: {
   const configuredInvocations = getVip98kInvocations(taskParams.modelConfig);
   const invocation = selectVip98kTaskInvocation({
     modelId: taskParams.modelId,
-    kind: taskParams.kind,
     configuredInvocation: configuredInvocations[0] || null,
     configuredInvocations,
     imageCount: imageUrls.length,
@@ -1414,12 +1309,6 @@ export async function submitVip98kExternalTask(params: {
     ),
     maxSubmissionAttempts: params.durable ? 1 : runtimeConfig.maxSubmissionAttempts,
     submissionRetryBaseDelayMs: runtimeConfig.submissionRetryBaseDelayMs,
-    pollIntervalMs: getConfiguredPollSeconds(
-      taskParams.modelConfig, "pollIntervalSeconds", DEFAULT_POLL_INTERVAL_SECONDS,
-    ) * 1000,
-    maxPollMs: getConfiguredPollSeconds(
-      taskParams.modelConfig, "maxPollSeconds", DEFAULT_MAX_POLL_SECONDS,
-    ) * 1000,
   });
   const resultPath = submitted.resultPath || invocation?.resultPath || "";
   return {
@@ -1549,7 +1438,7 @@ function normalizeDuration(value: unknown) {
   return Math.round(numeric);
 }
 
-export function buildTaskBody(params: Vip98kTaskParams, invocation: Vip98kInvocation | null) {
+function buildTaskBody(params: Vip98kTaskParams, invocation: Vip98kInvocation | null) {
   const videoParams = params.videoParams || {};
   const imageParams = params.imageParams || {};
   const promptTitle = params.prompt.split(/\s+/).slice(0, 8).join(" ").slice(0, 80);
@@ -1559,9 +1448,6 @@ export function buildTaskBody(params: Vip98kTaskParams, invocation: Vip98kInvoca
     body.displayName = promptTitle || params.modelId;
   }
   if ("prompt" in body || !invocation) body.prompt = params.prompt;
-  if (params.kind === "image" && invocationSupportsBodyField(invocation, "n")) {
-    body.n = imageParams.imageCount ?? imageParams.n ?? 1;
-  }
 
   const aspectRatio =
     normalizeRatio(videoParams.ratio) ||
@@ -1666,16 +1552,6 @@ 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) {
@@ -1821,7 +1697,7 @@ async function runTask(params: Vip98kTaskParams) {
     }
     const imageSize = String(params.imageParams?.imageSize || "2K").trim() || "2K";
     const archiveStartedAt = Date.now();
-    const archived = await Promise.all(outputUrls.map(archiveOutputImage));
+    const archived = await Promise.all(outputUrls.slice(0, 1).map(archiveOutputImage));
     logger.info("result archive completed", {
       modelId: params.modelId,
       outputCount: archived.length,