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

@@ -2377,9 +2377,7 @@ export function LocalAiImagePipelineSections({
             items={[
               {
                 label:
-                  extendConfig.provider === "fal"
-                    ? "Bria 扩图服务"
-                    : extendConfig.provider === "vip98k"
+                  extendConfig.provider === "vip98k"
                     ? "VIP98K 服务商"
                     : "阿里云服务商",
                 tone: "enabled",
@@ -2393,11 +2391,7 @@ export function LocalAiImagePipelineSections({
         }
         title="图像拓展API配置"
       >
-        {extendConfig.provider === "fal" ? (
-          <div className="rounded-lg border bg-muted/40 p-4 text-sm">
-            使用 Bria 生成新增区域并保留原图主体和文字。密钥从已启用的 fal 官方服务商读取。
-          </div>
-        ) : extendConfig.provider === "vip98k" ? (
+        {extendConfig.provider === "vip98k" ? (
           <div className="rounded-lg border bg-muted/40 p-4 text-sm">
             使用 VIP98K 的 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。

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

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

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

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

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,
-  isDetailReplacementImageModel,
+  normalizeDetailReplacementImageModelConfig,
 } 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/models/route.ts

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

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

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

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

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

app/api/site-settings/route.ts

@@ -10,8 +10,7 @@ import {
   systemSettingSnapshot,
   systemSettings,
 } from "@/lib/db/schema";
-import { and, eq, inArray, sql } from "drizzle-orm";
-import { omitAgentWorkflowPrompts } from "@/lib/agents/workflow-loading";
+import { and, eq, inArray } from "drizzle-orm";
 import { auth } from "@/app/(auth)/auth";
 import { isAgentWorkflowAdminType, isSiteAdminType } from "@/lib/middleware/admin";
 import {
@@ -554,8 +553,6 @@ function normalizeAgentCategoryTreeConfig(value: unknown): AgentCategoryTreeConf
 type PublicSiteSettingsScope =
   | "agent-brand-model"
   | "agent-canvas"
-  | "agent-canvas-base"
-  | "agent-workflow-templates"
   | "agent-entry"
   | "agent-presets"
   | "auth"
@@ -568,8 +565,6 @@ type PublicSiteSettingsScope =
 const PUBLIC_SITE_SETTINGS_SCOPES = new Set<string>([
   "agent-brand-model",
   "agent-canvas",
-  "agent-canvas-base",
-  "agent-workflow-templates",
   "agent-entry",
   "agent-presets",
   "auth",
@@ -687,7 +682,7 @@ function createScopedSiteSettingsResponse(
   return response;
 }
 
-async function readScopedSiteSettings(keys: string[], omitWorkflowSteps = false) {
+async function readScopedSiteSettings(keys: string[]) {
   const [settings, settingRows] = await Promise.all([
     db
       .select()
@@ -695,14 +690,8 @@ async function readScopedSiteSettings(keys: string[], omitWorkflowSteps = false)
       .limit(1)
       .then((rows) => rows[0]),
     keys.length > 0
-      ? (omitWorkflowSteps
-          ? db.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())
+      ? db
+          .select()
           .from(systemSettings)
           .where(inArray(systemSettings.key, keys))
       : Promise.resolve([]),
@@ -790,17 +779,8 @@ async function getScopedPublicSiteSettings(
     });
   }
 
-  if (scope === "agent-workflow-templates") {
-    const [setting] = await db.select({ value: systemSettings.value })
-      .from(systemSettings).where(eq(systemSettings.key, AGENT_WORKFLOW_UI_CONFIG_KEY)).limit(1);
-    const config = normalizeAgentWorkflowUiConfig(setting?.value);
-    return createScopedSiteSettingsResponse(scope, {
-      steps: omitAgentWorkflowPrompts(config.steps),
-    }, "MISS", options.cacheKey || scope, { etag: options.etag });
-  }
-
-  if (scope === "agent-canvas" || scope === "agent-canvas-base" || scope === "agent-entry") {
-    const { settings, valueByKey } = await readScopedSiteSettings(AGENT_CANVAS_SETTING_KEYS, scope !== "agent-canvas");
+  if (scope === "agent-canvas" || scope === "agent-entry") {
+    const { settings, valueByKey } = await readScopedSiteSettings(AGENT_CANVAS_SETTING_KEYS);
     const canvasFeatureAvailability = await readCanvasFeatureAvailability(
       valueByKey
     );
@@ -851,9 +831,7 @@ async function getScopedPublicSiteSettings(
               pageFeatureSettings: rawUiConfig?.pageFeatureSettings,
               businessModeSettings: rawUiConfig?.businessModeSettings,
             }
-          : scope === "agent-canvas-base"
-            ? { ...rawUiConfig, steps: [] }
-            : rawUiConfig
+          : rawUiConfig
       ),
       agentWorkflowShowcaseConfig: normalizeAgentWorkflowShowcaseConfig(
         valueByKey.get(AGENT_WORKFLOW_SHOWCASE_CONFIG_KEY)
@@ -1112,8 +1090,7 @@ export async function GET(request: NextRequest) {
       const cacheKey = brandName.trim()
         ? `${scopedScope}:${brandName.trim().toLowerCase()}`
         : scopedScope;
-      const etag = scopedScope === "agent-canvas" || scopedScope === "agent-entry" ||
-        scopedScope === "agent-canvas-base" || scopedScope === "agent-workflow-templates"
+      const etag = scopedScope === "agent-canvas" || scopedScope === "agent-entry"
         ? await getAgentCanvasSettingsEtag(scopedScope)
         : undefined;
       if (etag && request.headers.get("If-None-Match") === etag) {

app/canvas/[id]/CanvasEditorLegacyPageClient.tsx

@@ -233,8 +233,7 @@ import {
   type WorkflowSceneRecord,
 } from "@/lib/video-workflow/runtime";
 import { agentProjectService } from "@/services/agent-projects";
-import { getWorkflowSelectionsRequest } from "@/lib/agents/workflow-loading";
-import { fetchCanvasSiteSettings, fetchWorkflowTemplatePrompts } from "@/lib/client/canvas-site-settings";
+import { fetchCanvasSiteSettings } from "@/lib/client/canvas-site-settings";
 import {
   canvasService,
   imageGenerationService,
@@ -274,17 +273,6 @@ import type {
 const CANVAS_SITE_SETTINGS_REFRESH_INTERVAL_MS = 15000;
 const CANVAS_SURFACE_BACKGROUND = "#f5f5f5";
 
-function WorkflowLoadState({ name, error, retrying, onRetry }: { name: string; error?: Error; retrying?: boolean; onRetry: () => void }) {
-  const failed = Boolean(error && !retrying);
-  const timedOut = error?.name === "AbortError" || error?.name === "TimeoutError";
-  return (
-    <div className="flex items-center gap-3 rounded-xl border border-white/10 px-4 py-3 text-sm text-white/65" role={failed ? "alert" : "status"}>
-      <span>{failed ? `${name}${timedOut ? "加载超时" : "加载失败"}` : `正在加载${name}…`}</span>
-      {failed && <Button type="button" size="sm" variant="outline" onClick={onRetry}>重试</Button>}
-    </div>
-  );
-}
-
 function CanvasLazyPanelLoader({
   label,
   className,
@@ -2188,13 +2176,13 @@ export default function CanvasEditorLegacyPage({
   );
   const canvasSiteSettingsKey = requestedAgentMode
     ? hasActiveAgentProject
-      ? "/api/site-settings?scope=agent-canvas-base"
+      ? "/api/site-settings?scope=agent-canvas"
       : "/api/site-settings?scope=agent-entry"
     : "/api/site-settings?scope=canvas";
   const [hasResolvedCanvasSiteSettings, setHasResolvedCanvasSiteSettings] =
     useState(false);
 
-  const { data: siteSettingsData, error: siteSettingsError, isValidating: siteSettingsLoading, mutate: reloadSiteSettings } = useSWR<{
+  const { data: siteSettingsData } = useSWR<{
     siteName?: string;
     siteLogo?: string | null;
     siteLogoDark?: string | null;
@@ -2225,7 +2213,6 @@ export default function CanvasEditorLegacyPage({
       ? 0
       : CANVAS_SITE_SETTINGS_REFRESH_INTERVAL_MS,
     errorRetryCount: 1,
-    shouldRetryOnError: !requestedAgentMode || !hasActiveAgentProject,
     dedupingInterval: 30_000,
     revalidateOnFocus: true,
     revalidateOnReconnect: true,
@@ -2292,34 +2279,9 @@ export default function CanvasEditorLegacyPage({
     !requestedAgentMode ||
     !agentProjectId ||
     loadedAgentProjectId === agentProjectId;
-  const [workflowTemplateMarker, setWorkflowTemplateMarker] = useState<HTMLDivElement | null>(null);
-  const [workflowTemplatesRequested, setWorkflowTemplatesRequested] = useState(false);
-  const hasWorkflowBase = Boolean(siteSettingsData?.agentWorkflowUiConfig);
-  useEffect(() => {
-    if (!isAgentMode || !hasActiveAgentProject || !hasWorkflowBase || workflowTemplatesRequested) return;
-    const element = workflowTemplateMarker;
-    if (!element) return;
-    const observer = new IntersectionObserver(([entry]) => {
-      if (entry?.isIntersecting) setWorkflowTemplatesRequested(true);
-    });
-    observer.observe(element);
-    return () => observer.disconnect();
-  }, [hasActiveAgentProject, hasWorkflowBase, isAgentMode, workflowTemplateMarker, workflowTemplatesRequested]);
-  const { data: workflowTemplates, error: workflowTemplatesError, isValidating: workflowTemplatesLoading, mutate: reloadWorkflowTemplates } = useSWR<{
-    steps: AgentWorkflowUiConfig["steps"];
-  }>(
-    isAgentMode && hasActiveAgentProject && hasWorkflowBase && workflowTemplatesRequested
-      ? "/api/site-settings?scope=agent-workflow-templates"
-      : null,
-    fetchCanvasSiteSettings,
-    { shouldRetryOnError: false }
-  );
   const resolvedWorkflowUiConfig = useMemo(
-    () => {
-      const base = siteSettingsData?.agentWorkflowUiConfig || defaultAgentWorkflowUiConfig;
-      return requestedAgentMode ? { ...base, steps: workflowTemplates?.steps ?? [] } : base;
-    },
-    [requestedAgentMode, siteSettingsData?.agentWorkflowUiConfig, workflowTemplates?.steps]
+    () => siteSettingsData?.agentWorkflowUiConfig || defaultAgentWorkflowUiConfig,
+    [siteSettingsData?.agentWorkflowUiConfig]
   );
   const workflowPageFeatureSettings = useMemo(
     () => getAgentWorkflowPageFeatureSettings(resolvedWorkflowUiConfig),
@@ -2368,7 +2330,7 @@ export default function CanvasEditorLegacyPage({
   });
   const sanitizedWorkflowSelections = useMemo(
     () =>
-      requestedAgentMode && !workflowTemplates
+      requestedAgentMode && !siteSettingsData?.agentWorkflowUiConfig
         ? workflowSelections
         : sanitizeAgentWorkflowSelections({
             config: resolvedWorkflowUiConfig || defaultAgentWorkflowUiConfig,
@@ -2376,7 +2338,7 @@ export default function CanvasEditorLegacyPage({
           }),
     [
       requestedAgentMode,
-      workflowTemplates,
+      siteSettingsData?.agentWorkflowUiConfig,
       resolvedWorkflowUiConfig,
       workflowSelections,
     ]
@@ -2384,14 +2346,6 @@ export default function CanvasEditorLegacyPage({
   const deferredSanitizedWorkflowSelections = useDeferredValue(
     sanitizedWorkflowSelections
   );
-  const workflowSelectionRequest = isAgentMode && hasActiveAgentProject && hasLoadedCurrentAgentProject
-    ? getWorkflowSelectionsRequest(sanitizedWorkflowSelections)
-    : "";
-  const { data: workflowPromptData, error: workflowPromptError, isValidating: workflowPromptLoading, mutate: reloadWorkflowPrompts } = useSWR(
-    workflowSelectionRequest ? ["/api/agent-workflow/template-prompts", workflowSelectionRequest] as const : null,
-    fetchWorkflowTemplatePrompts,
-    { shouldRetryOnError: false }
-  );
   const resolvedBrandModelConfig = useMemo(
     () =>
       normalizeAgentWorkflowBrandModelConfig(
@@ -9967,8 +9921,6 @@ export default function CanvasEditorLegacyPage({
         selectedBrandModel,
         appearanceRecognitionEnabled,
         selections: deferredSanitizedWorkflowSelections,
-        resolvedSelections: workflowPromptData?.selectionRequest === getWorkflowSelectionsRequest(deferredSanitizedWorkflowSelections)
-          ? workflowPromptData?.selections : undefined,
       });
 
       if (canceled) {
@@ -9991,7 +9943,6 @@ export default function CanvasEditorLegacyPage({
     selectedBrandModel,
     workflowInputs,
     workflowMaterials,
-    workflowPromptData,
   ]);
   useEffect(() => {
     workflowInputsRef.current = workflowInputs;
@@ -10113,23 +10064,15 @@ export default function CanvasEditorLegacyPage({
     [patchPersistedAgentWorkflowState]
   );
   const getLatestWorkflowContext = useCallback(() => {
-    const selections = workflowSelectionsRef.current;
     return buildAgentWorkflowComposerContext({
       config: resolvedWorkflowUiConfig || defaultAgentWorkflowUiConfig,
       inputs: workflowInputsRef.current,
       materials: workflowMaterialsRef.current,
       selectedBrandModel: selectedBrandModelRef.current,
       appearanceRecognitionEnabled: appearanceRecognitionEnabledRef.current,
-      selections,
-      resolvedSelections: workflowPromptData?.selectionRequest === getWorkflowSelectionsRequest(selections)
-        ? workflowPromptData?.selections : undefined,
+      selections: workflowSelectionsRef.current,
     });
-  }, [resolvedWorkflowUiConfig, workflowPromptData]);
-  const getWorkflowPromptStatus = useCallback(() => {
-    const currentRequest = getWorkflowSelectionsRequest(workflowSelectionsRef.current);
-    if (!currentRequest || currentRequest === workflowPromptData?.selectionRequest) return "ready";
-    return workflowPromptError && currentRequest === workflowSelectionRequest ? "error" : "loading";
-  }, [workflowPromptData, workflowPromptError, workflowSelectionRequest]);
+  }, [resolvedWorkflowUiConfig]);
   const effectiveSelectedAgentPresetId = null;
   const { data: selectedAgentPresetResponse } = useSWR<{
     success?: boolean;
@@ -10504,37 +10447,30 @@ export default function CanvasEditorLegacyPage({
       </div>
     ) : null;
 
-  const workflowStylePanel = useMemo(() => (
-    <div ref={setWorkflowTemplateMarker} className="space-y-3">
-      {workflowTemplates ? (
-        <AgentWorkflowPanelDarkV2
-          config={resolvedWorkflowUiConfig}
-          embedded
-          inputs={workflowInputs}
-          materials={workflowMaterials}
-          onInputsChange={handleWorkflowInputsChange}
-          onMaterialsChange={handleWorkflowMaterialsChange}
-          onSelectionsChange={handleWorkflowSelectionsChange}
-          selections={sanitizedWorkflowSelections}
-          showBrandStoreSection={false}
-        />
-      ) : siteSettingsError && !siteSettingsData && !siteSettingsLoading ? (
-        <p className="text-sm text-white/65">请先在上方重试加载品牌和类目。</p>
-      ) : !workflowTemplatesRequested ? (
-        <Button type="button" variant="outline" onClick={() => setWorkflowTemplatesRequested(true)}>加载风格模板</Button>
-      ) : (
-        <WorkflowLoadState name="风格模板" error={workflowTemplatesError} retrying={workflowTemplatesLoading} onRetry={() => void reloadWorkflowTemplates().catch(() => {})} />
-      )}
-      {workflowPromptError && (
-        <WorkflowLoadState name="所选模板的提示词" error={workflowPromptError} retrying={workflowPromptLoading} onRetry={() => void reloadWorkflowPrompts().catch(() => {})} />
-      )}
-    </div>
-  ), [
-    handleWorkflowInputsChange, handleWorkflowMaterialsChange, handleWorkflowSelectionsChange,
-    reloadWorkflowPrompts, reloadWorkflowTemplates, resolvedWorkflowUiConfig, sanitizedWorkflowSelections,
-    siteSettingsData, siteSettingsError, siteSettingsLoading, workflowInputs, workflowMaterials, workflowPromptError,
-    workflowPromptLoading, workflowTemplates, workflowTemplatesError, workflowTemplatesLoading, workflowTemplatesRequested,
-  ]);
+  const workflowStylePanel = useMemo(
+    () => (
+      <AgentWorkflowPanelDarkV2
+        config={resolvedWorkflowUiConfig}
+        embedded
+        inputs={workflowInputs}
+        materials={workflowMaterials}
+        onInputsChange={handleWorkflowInputsChange}
+        onMaterialsChange={handleWorkflowMaterialsChange}
+        onSelectionsChange={handleWorkflowSelectionsChange}
+        selections={sanitizedWorkflowSelections}
+        showBrandStoreSection={false}
+      />
+    ),
+    [
+      handleWorkflowInputsChange,
+      handleWorkflowMaterialsChange,
+      handleWorkflowSelectionsChange,
+      resolvedWorkflowUiConfig,
+      sanitizedWorkflowSelections,
+      workflowInputs,
+      workflowMaterials,
+    ]
+  );
 
   if (canvasLoadError && !isAgentMode) {
     return <div role="alert" className="flex h-dvh flex-col items-center justify-center gap-4">
@@ -10577,20 +10513,17 @@ export default function CanvasEditorLegacyPage({
               theme="dark"
             />
           }
-          brandStorePanel={siteSettingsData?.agentWorkflowUiConfig ? (
+          brandStorePanel={
             <AgentWorkflowBrandStorePanel
               config={resolvedWorkflowUiConfig}
               inputs={workflowInputs}
               onInputsChange={handleWorkflowInputsChange}
               theme="dark"
             />
-          ) : (
-            <WorkflowLoadState name="品牌和类目" error={siteSettingsError} retrying={siteSettingsLoading} onRetry={() => void reloadSiteSettings().catch(() => {})} />
-          )}
+          }
           chatId={agentModeChatId}
           deletedResultCollections={agentProjectDeletedResultCollections}
           getLatestWorkflowContext={getLatestWorkflowContext}
-          getWorkflowPromptStatus={getWorkflowPromptStatus}
           materialSelectionPanel={
             isWorkflowMaterialStepEnabled ? (
               <AgentWorkflowMaterialSelectionPanel

components/agents/AgentGenerationWorkspaceDarkV2.tsx

@@ -159,7 +159,6 @@ import type {
 } from "@/types/agent";
 import {
   createEmptyAgentModeWorkspaceState,
-  MAX_DETAIL_REPLACEMENT_REFERENCES,
 } from "@/lib/agents/mode-workspace-state";
 import {
   createEmptyAgentGenerationProjectWorkspaceState,
@@ -177,7 +176,6 @@ export interface AgentGenerationWorkspaceDarkV2Props {
   workflowFeatureSettings?: AgentWorkflowPageFeatureSettings | null;
   workflowPromptOptimizationEnabled?: boolean;
   getLatestWorkflowContext?: () => AgentWorkflowComposerContext | null;
-  getWorkflowPromptStatus?: () => "ready" | "loading" | "error";
   onBack?: () => void;
   brandStorePanel?: ReactNode;
   materialSelectionPanel?: ReactNode;
@@ -214,7 +212,6 @@ export interface AgentGenerationWorkspaceDarkV2Props {
 interface AgentWorkflowModelOption {
   id: string;
   displayName: string;
-  providerName?: string;
   providerType: string;
   supportsImageGen?: boolean;
   isMultimodal?: boolean;
@@ -2645,9 +2642,7 @@ function getStoredAgentPendingGenerations(): LocalGenerationPendingState[] {
           ? record.requestedCardIds
               .map((entry) => String(entry || "").trim())
               .filter(Boolean)
-              .slice(0, record.modeType === "detail_replacement"
-                ? MAX_DETAIL_REPLACEMENT_REFERENCES
-                : MAX_AGENT_MODE_REFERENCE_COUNT)
+              .slice(0, MAX_AGENT_MODE_REFERENCE_COUNT)
           : null,
       } satisfies LocalGenerationPendingState;
     });
@@ -3090,7 +3085,6 @@ export function AgentGenerationWorkspaceDarkV2({
   workflowFeatureSettings = null,
   workflowPromptOptimizationEnabled = true,
   getLatestWorkflowContext,
-  getWorkflowPromptStatus,
   onBack,
   brandStorePanel,
   materialSelectionPanel,
@@ -3388,13 +3382,12 @@ 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 +3433,17 @@ 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 +3459,6 @@ 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 +4110,12 @@ export function AgentGenerationWorkspaceDarkV2({
   );
   const executableModelOptions = useMemo(() => {
     const seen = new Set<string>();
-    const workflowModels = detailReplacementModel
-      ? [detailReplacementModel, ...configuredWorkflowModels]
-      : configuredWorkflowModels;
-    return [...selectableModels, ...workflowModels].filter((model) => {
+    return [...selectableModels, ...configuredWorkflowModels].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 +4134,8 @@ export function AgentGenerationWorkspaceDarkV2({
       selectableModels[0],
     [executableModelOptions, lockedWorkflowModel, selectableModels, selectedModelId]
   );
-  const lockedWorkflowModelLabel = detailReplacementModel?.providerName
-    ? `${detailReplacementModel.displayName} 「${detailReplacementModel.providerName}」`
-    : lockedWorkflowModel?.displayName ||
+  const lockedWorkflowModelLabel =
+    lockedWorkflowModel?.displayName ||
     selectedAgentPreset?.defaultModel?.displayName ||
     (lockedWorkflowModelId ? `配置模型不可用（${lockedWorkflowModelId}）` : "未配置");
   const [activeToolStep, setActiveToolStep] = useState<ToolStepKey>("settings");
@@ -6327,24 +6314,10 @@ export function AgentGenerationWorkspaceDarkV2({
       toast.error(`请先查询并选择${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 +6376,6 @@ 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 +6396,13 @@ 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 +6426,6 @@ 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 +6613,6 @@ export function AgentGenerationWorkspaceDarkV2({
     input,
     isDetailAiGenerationMethod,
     isDetailReplacementPreset,
-    isDetailReplacementModelLoading,
-    modelsError,
     isSelectedBusinessModeUnavailable,
     isSkuReplacementPreset,
     effectiveDefaultModelId,
@@ -6664,7 +6629,6 @@ export function AgentGenerationWorkspaceDarkV2({
     skuResultCards,
     userMessageCount,
     getLatestWorkflowContext,
-    getWorkflowPromptStatus,
     isSceneGenerationPreset,
     workflowContext,
     sceneMessageAttachments,
@@ -6675,7 +6639,6 @@ export function AgentGenerationWorkspaceDarkV2({
     onPersistProject,
     projectId,
     refreshDetailBatch,
-    refreshModels,
   ]);
   const handleStopGeneration = useCallback(() => {
     detailGenerationCancelRef.current = true;
@@ -7839,11 +7802,6 @@ 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 +9406,9 @@ 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
-                            ? 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："}
+                          {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>

lib/agents/mode-workspace-state.ts

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

lib/agents/workflow-composer.ts

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

lib/agents/workflow-loading.ts

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

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

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

lib/ai/extend/config.ts

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

lib/ai/extend/fal-outpaint.ts

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

lib/ai/extend/service.ts

@@ -5,15 +5,14 @@ import {
   getSystemSetting,
   upsertMediaAsset,
 } from "@/lib/db/queries";
-import { type ExtendProvider, resolveAlibabaExtendApiKey, resolveFalExtendApiKey } from "@/lib/ai/extend/config";
-import { expandWithFalOutpaint, FAL_OUTPAINT_MODEL } from "@/lib/ai/extend/fal-outpaint";
+import { resolveAlibabaExtendApiKey } from "@/lib/ai/extend/config";
 import { executeConfiguredVip98kTask } from "@/lib/ai/vip98k-runtime";
 import { db } from "@/lib/db";
 import { generatedImage } from "@/lib/db/schema";
 import { uploadFile } from "@/lib/storage/service";
 
 type ExtendConfig = {
-  provider?: ExtendProvider;
+  provider?: "vip98k" | "dashscope";
   apiKey?: string;
   xScale?: number;
   yScale?: number;
@@ -84,12 +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,
@@ -474,15 +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",
@@ -532,29 +522,35 @@ 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;
-  let modelId: string;
-  if (config.provider === "fal") {
-    buffer = await expandWithFalOutpaint({ imageUrl: inputImageUrl, apiKey: config.apiKey!, xScale, yScale });
-    modelId = FAL_OUTPAINT_MODEL;
-  } else {
-    const prepared = config.provider === "vip98k" ? inputImageUrl : await normalizeDashscopeExpansionInput(inputImageUrl);
-    const url = await extendImage(prepared, config, xScale, yScale, requestId);
-    const imageResponse = await fetch(url);
-    if (!imageResponse.ok) {
-      throw new ExtendServiceError("下载拓展图片失败", 500, `${imageResponse.status} ${imageResponse.statusText}`);
-    }
-    buffer = Buffer.from(await imageResponse.arrayBuffer());
-    modelId = config.provider === "vip98k" ? "image-expansion" : "extend-1.0";
+  const extendedImageUrl = await extendImage(
+    preparedInputImageUrl,
+    config,
+    xScale,
+    yScale,
+    requestId,
+  );
+  const imageResponse = await fetch(extendedImageUrl);
+  if (!imageResponse.ok) {
+    throw new ExtendServiceError(
+      "下载拓展图片失败",
+      500,
+      `${imageResponse.status} ${imageResponse.statusText}`,
+    );
   }
+
+  const buffer = Buffer.from(await imageResponse.arrayBuffer());
   const imageBase64Result = includeBase64 ? buffer.toString("base64") : undefined;
-  const uploadResult = await uploadBufferPairToS3(buffer, config.provider === "fal" ? "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: buffer.length,
   });
   let mediaAssetId: string | null = null;
@@ -571,7 +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();
@@ -595,7 +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,

lib/ai/vip98k-models.ts

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

lib/client/canvas-site-settings.ts

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

tests/routes/agent-project-recovery.test.ts

@@ -72,85 +72,6 @@ function projectRoute() {
   return { route: load("app/api/agent-projects/route.ts"), projects, setUser: (value: string | null) => { userId = value; } };
 }
 
-test("a saved full detail set is queued, while overflow and changed references have distinct errors", async () => {
-  const references = Array.from({ length: 65 }, (_, index) => ({
-    id: `detail-${index + 1}`,
-    imageUrl: `https://example.test/detail-${index + 1}.webp`,
-  }));
-  const project = {
-    id, userId: owner, title: "全套详情", workspaceType: "agent",
-    canvasData: { agentProjectState: { workflowState: {
-      agentModeState: { detailReplacement: { references } },
-    } } },
-  };
-  const canvasProject = { id: "id", userId: "userId" };
-  const created: Array<{ id: string; request: { references: typeof references }; status: string }> = [];
-  const queued: string[] = [];
-  const db = {
-    select: () => ({ from: (table: unknown) => ({
-      where: () => ({
-        limit: async () => table === canvasProject ? [project] : [],
-        orderBy: () => ({ limit: async () => [] }),
-      }),
-    }) }),
-    insert: () => ({ values: () => ({ onConflictDoNothing: async () => {} }) }),
-  };
-  const route = loadRuntime({
-    "@/app/(auth)/auth": { auth: async () => ({ user: { id: owner } }) },
-    "@/lib/db": { db },
-    "@/lib/db/schema": { canvasProject, canvasImageTask: { request: "request" }, message: { id: "id" } },
-    "drizzle-orm": { eq: () => null, and: () => null, inArray: () => null, desc: () => null, sql: () => null },
-    "@/lib/canvas/image-task-queue": {
-      createCanvasImageTask: async ({ taskId, request }: { taskId: string; request: { references: typeof references } }) => {
-        const task = { id: taskId, request, status: "pending" };
-        created.push(task);
-        return task;
-      },
-      getCanvasImageTaskForUser: async ({ taskId }: { taskId: string }) => created.find((task) => task.id === taskId),
-      enqueueCanvasImageTask: async (taskId: string) => { queued.push(taskId); },
-    },
-    "@/lib/db/queries": {
-      getEnabledAiModelsWithProvider: async () => [{ model: { id: "fixture-model" } }],
-      checkUserImageQuota: async () => ({ allowed: true, limit: null }),
-      getPointsSystemConfig: async () => ({ enabled: false }),
-      getChatById: async () => ({ userId: owner }),
-    },
-    "@/app/(chat)/api/chat/_lib/detail-replacement": { resolveDirectReplacementModelRef: async () => "fixture-model" },
-    "@/app/(chat)/api/chat/_lib/agent-scene-workflow": {
-      buildAgentSlotPrompt: ({ workflowPrompt }: { workflowPrompt: string }) => workflowPrompt,
-      normalizeAgentSupplementPrompt: () => "",
-    },
-  })("app/api/agents/detail-replacement/batches/route.ts");
-  const post = (items: typeof references, replacementStrategy = "product_only", expectedModelId = "fixture-model") => route.POST(
-    new Request("http://localhost/api/agents/detail-replacement/batches", {
-      method: "POST",
-      body: JSON.stringify({
-        projectId: id, requestId: randomUUID(), references: items, replacementStrategy, expectedModelId,
-        prompt: "沿用品牌场景", productImageUrls: ["https://example.test/product.webp"],
-      }),
-    }),
-  );
-
-  for (const [count, strategy] of [[48, "product_only"], [64, "scene_replace"]] as const) {
-    const expectedIds = references.slice(0, count).map((ref) => ref.id);
-    const response = await post(references.slice(0, count), strategy);
-    expect(response.status).toBe(200);
-    expect((await response.json()).task.requestedCardIds).toEqual(expectedIds);
-    expect(created.at(-1)?.request.references.map((ref) => ref.id)).toEqual(expectedIds);
-  }
-  const overflow = await post(references);
-  expect(overflow.status).toBe(400);
-  expect((await overflow.json()).error).toContain("一次最多替换 64 张");
-  const changed = await post([{ ...references[0], imageUrl: "https://example.test/changed.webp" }]);
-  expect(changed.status).toBe(400);
-  expect((await changed.json()).error).toContain("尚未保存或已发生变化");
-  const changedModel = await post(references.slice(0, 48), "scene_replace", "outdated-model");
-  expect(changedModel.status).toBe(409);
-  expect((await changedModel.json()).code).toBe("DETAIL_REPLACEMENT_MODEL_CHANGED");
-  expect(queued).toEqual(created.map((task) => task.id));
-  expect(queued).toHaveLength(2);
-});
-
 test("duplicate POSTs return one project without overwriting saved state", async () => {
   const { route, projects } = projectRoute();
   const post = (title: string) => route.POST(new Request("http://localhost/api/agent-projects", { method: "POST", body: JSON.stringify({ id, title }) }));
@@ -293,11 +214,6 @@ test("entry config stays small and unchanged config returns 304 before loading v
   const entryData = await entry.json();
   expect(entryData.agentWorkflowUiConfig.steps).toEqual([]);
   expect(JSON.stringify(entryData).length).toBeLessThan(20_000);
-  const base = await (await route.GET(request("agent-canvas-base"))).json();
-  expect(base.agentWorkflowUiConfig.steps).toEqual([]);
-  const templates = await (await route.GET(request("agent-workflow-templates"))).json();
-  expect(templates.steps[0].options[0]).toMatchObject({ key: "test", buttonName: "风格一" });
-  expect(JSON.stringify(templates)).not.toContain("生成提示词");
   const full = await route.GET(request("agent-canvas"));
   expect((await full.json()).agentWorkflowUiConfig.steps[0].options[0].promptFragment).toBe("生成提示词".repeat(3000).slice(0, 20_000));
   const etag = full.headers.get("ETag");
@@ -311,25 +227,3 @@ test("entry config stays small and unchanged config returns 304 before loading v
   expect(changed.status).toBe(200);
   expect(changed.headers.get("ETag")).not.toBe(etag);
 });
-
-test("selected template prompts preserve the full path without downloading unrelated prompts", async () => {
-  const option = (key: string, promptFragment: string, children: unknown[] = []) => ({
-    key, buttonName: key, enabled: true, sortOrder: 0, promptFragment, children, previewImageUrl: "https://example.com/style.webp",
-  });
-  const value = { steps: [{ key: "style", title: "风格", enabled: true, sortOrder: 0, options: [
-    option("selected", "完整风格提示词", [option("leaf", "选中的子模板提示词")]),
-    option("unrelated", "不应下载的其他提示词"),
-  ] }] };
-  const load = loadRuntime({
-    "@/app/(auth)/auth": { auth: async () => ({ user: { id: owner } }) },
-    "@/lib/db/queries": { getSystemSetting: async () => ({ value }) },
-  });
-  const { serializeAgentWorkflowSelectionPath } = load("lib/agents/workflow-ui-config.ts");
-  const { POST } = load("app/api/agent-workflow/template-prompts/route.ts");
-  const result = await POST(new Request("http://localhost/api/agent-workflow/template-prompts", {
-    method: "POST", body: JSON.stringify({ style: serializeAgentWorkflowSelectionPath(["selected", "leaf"]) }),
-  }));
-  expect(result.status).toBe(200);
-  const { selections } = await result.json();
-  expect(selections.map((s: { promptFragment: string }) => s.promptFragment)).toEqual(["完整风格提示词", "选中的子模板提示词"]);
-});

tests/routes/extend-provider-config.test.ts

@@ -1,7 +1,5 @@
 import { expect, test } from "@playwright/test";
-import sharp from "sharp";
-import { resolveAlibabaExtendApiKey, resolveFalExtendApiKey } from "@/lib/ai/extend/config";
-import { composeOutpaint, getOutpaintGeometry } from "@/lib/ai/extend/fal-outpaint";
+import { resolveAlibabaExtendApiKey } from "@/lib/ai/extend/config";
 
 test.describe("image extension provider configuration", () => {
   test("uses the most recently updated Alibaba image provider key", () => {
@@ -25,34 +23,4 @@ test.describe("image extension provider configuration", () => {
     ).toBe("legacy-key");
     expect(resolveAlibabaExtendApiKey([], "")).toBeNull();
   });
-
-  test("uses an official fal provider key, not a key configured for a relay", () => {
-    expect(resolveFalExtendApiKey([
-      { baseUrl: "https://relay.example.test", apiKey: "relay-key" },
-      { baseUrl: "https://queue.fal.run", apiKey: "Key official-key" },
-    ])).toBe("official-key");
-  });
-});
-
-test("outpainting restores every original pixel in place and keeps the generated border", async () => {
-  const geometry = getOutpaintGeometry(13, 9, 1.5, 1.5);
-  const { paddedWidth, paddedHeight, left, top } = geometry;
-  const pixel = Buffer.from([42, 93, 190, 255, 30, 80, 20, 75]);
-  const raw = Buffer.concat(Array.from({ length: 59 }, () => pixel)).subarray(0, 13 * 9 * 4);
-  const source = await sharp(raw, { raw: { width: 13, height: 9, channels: 4 } }).png().toBuffer();
-  const expanded = await sharp({ create: { width: paddedWidth, height: paddedHeight, channels: 3, background: "#d8bc9e" } }).png().toBuffer();
-  const composed = await composeOutpaint(source, expanded, geometry);
-  const area = await sharp(composed).extract({ left, top, width: 13, height: 9 }).raw().toBuffer();
-  expect(area.equals(raw)).toBe(true);
-  expect([...await sharp(composed).extract({ left: 0, top: 0, width: 1, height: 1 }).raw().toBuffer()]).toEqual([216, 188, 158, 255]);
-  await expect(composeOutpaint(source, source, geometry)).rejects.toThrow("尺寸不正确");
-});
-
-test("a 4K source keeps its target output size while the model works within its limit", () => {
-  const g = getOutpaintGeometry(4096, 4096, 1.5, 1.5);
-  expect([g.targetWidth, g.targetHeight, g.left, g.top]).toEqual([6144, 6144, 1024, 1024]);
-  expect([g.paddedWidth, g.paddedHeight]).toEqual([2048, 2048]);
-  expect(g.expandLeft + g.sourceWidth + g.expandRight).toBe(g.paddedWidth);
-  expect(g.expandTop + g.sourceHeight + g.expandBottom).toBe(g.paddedHeight);
-  expect(Math.abs(g.expandLeft - g.expandRight)).toBeLessThanOrEqual(1);
 });

tests/routes/model-classification.test.ts

@@ -30,12 +30,6 @@ const atlasHunyuan3D = {
   tags: ["TEXT-TO-3D", "NEW"],
 };
 
-test("syncing the provider catalog keeps OCR out of image generation", () => {
-  const [ocr] = buildVip98kModelPresets([{ id: "ocr", type: "image", capabilities: ["media.tasks"] }]);
-  expect(ocr).toMatchObject({ modelId: "ocr", isHidden: true, supportsImageGen: false, capabilities: { outputType: "text" } });
-  expect(isImageGenerationModelDescriptor({ ...ocr, providerType: "vip98k" })).toBe(false);
-});
-
 test.describe("AI model media classification", () => {
   test("classifies Qwen Image 3.0 as Alibaba text-to-image and image editing", () => {
     expect(isAlibabaImageTextToImageModelId("qwen-image-3.0")).toBe(true);