fix: extend image task waits and scale adjust health

components/agents/AgentGenerationWorkspaceDarkV2.tsx

@@ -770,7 +770,7 @@ type DirectDetailReviewResult = {
 };
 
 const AGENT_IMAGE_TASK_POLL_INTERVAL_MS = 1600;
-const AGENT_IMAGE_TASK_TIMEOUT_MS = 8 * 60 * 1000;
+const AGENT_IMAGE_TASK_TIMEOUT_MS = 20 * 60 * 1000;
 const AGENT_DETAIL_IMAGE_PARALLEL_WORKER_COUNT = 4;
 
 function sleep(ms: number) {

components/canvas/CanvasChatPanel.tsx

@@ -435,7 +435,7 @@ const CANVAS_AGENT_SECTION_TITLES = new Set([
   "输出设置",
 ]);
 const CANVAS_IMAGE_TASK_POLL_INTERVAL_MS = 1600;
-const CANVAS_IMAGE_TASK_TIMEOUT_MS = 4 * 60 * 1000;
+const CANVAS_IMAGE_TASK_TIMEOUT_MS = 20 * 60 * 1000;
 const CANVAS_GENERATION_NODE_GAP = 56;
 const CANVAS_GENERATION_STACK_GAP = 28;
 const CANVAS_GENERATION_COLLISION_GAP = 32;

components/canvas/nodes/image-node/image-node-local-edit.ts

@@ -37,7 +37,7 @@ export const LOCAL_EDIT_MAX_REGIONS = 8;
 export const LOCAL_EDIT_MAX_REFERENCE_IMAGES_PER_REGION = 3;
 export const LOCAL_EDIT_MIN_EDGE_PX = 24;
 export const LOCAL_EDIT_POLL_INTERVAL_MS = 2500;
-export const LOCAL_EDIT_MAX_POLL_ATTEMPTS = 192;
+export const LOCAL_EDIT_MAX_POLL_ATTEMPTS = 480;
 export const LOCAL_EDIT_COLORS = [
   "#ef4444",
   "#2563eb",

lib/ai/providers/gemini-image.ts

@@ -640,8 +640,8 @@ function formatImageResponse(
 const GRSAI_NANO_BANANA_SUBMIT_TIMEOUT_MS = 30000;
 const GRSAI_NANO_BANANA_POLL_TIMEOUT_MS = 30000;
 const GRSAI_NANO_BANANA_POLL_INTERVAL_MS = 5000;
-const GRSAI_GPT_IMAGE_TIMEOUT_MS = 540000;
-const GRSAI_GPT_IMAGE_4K_TIMEOUT_MS = 570000;
+const GRSAI_GPT_IMAGE_TIMEOUT_MS = 12 * 60 * 1000;
+const GRSAI_GPT_IMAGE_4K_TIMEOUT_MS = 14 * 60 * 1000;
 
 function isRecord(value: unknown): value is Record<string, any> {
   return Boolean(value && typeof value === "object" && !Array.isArray(value));

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

@@ -122,7 +122,7 @@ async function executeDirectAgentEnhanceJob(params: {
       messageId: params.messageId,
       sourceImageUrl: params.imageUrl,
     },
-    timeoutMs: 8 * 60 * 1000,
+    timeoutMs: 20 * 60 * 1000,
     headers: cookieHeader
       ? {
           cookie: cookieHeader,

lib/canvas/generate-image.ts

@@ -1539,29 +1539,41 @@ export async function generateCanvasImage(
     await slot.release();
   }
 
-  await recordAiModelHealthFailure({
-    model: selectedModel.model,
-    provider,
-    error: caughtError,
-    context: debugLabel,
-    elapsedMs: Date.now() - startedAt,
-    metadata: {
-      aspectRatio,
-      imageSize,
-      imageCount,
-      requestedReferenceImageCount: normalizedReferenceImages.length,
-      reachableReferenceImageCount: reachableReferenceImages.length,
-      effectiveReferenceImageCount: effectiveReferenceImages.length,
-      droppedReferenceImageCount: unreachableReferenceImages.length,
-      ...debugMeta,
-    },
-  }).catch((healthError) => {
-    console.warn("[Canvas Generate Image] Record model health failure failed:", {
+  const scaleAdjustRejected =
+    caughtError instanceof ScaleAdjustOutputRejectedError;
+
+  if (scaleAdjustRejected) {
+    console.info("[Canvas Generate Image] Skip model health failure for scale adjust rejection:", {
+      debugLabel,
       selectedModelRef: selectedModel.model.id,
       selectedModelId: selectedModel.model.modelId,
-      error: healthError instanceof Error ? healthError.message : String(healthError),
+      error: caughtError instanceof Error ? caughtError.message : String(caughtError),
     });
-  });
+  } else {
+    await recordAiModelHealthFailure({
+      model: selectedModel.model,
+      provider,
+      error: caughtError,
+      context: debugLabel,
+      elapsedMs: Date.now() - startedAt,
+      metadata: {
+        aspectRatio,
+        imageSize,
+        imageCount,
+        requestedReferenceImageCount: normalizedReferenceImages.length,
+        reachableReferenceImageCount: reachableReferenceImages.length,
+        effectiveReferenceImageCount: effectiveReferenceImages.length,
+        droppedReferenceImageCount: unreachableReferenceImages.length,
+        ...debugMeta,
+      },
+    }).catch((healthError) => {
+      console.warn("[Canvas Generate Image] Record model health failure failed:", {
+        selectedModelRef: selectedModel.model.id,
+        selectedModelId: selectedModel.model.modelId,
+        error: healthError instanceof Error ? healthError.message : String(healthError),
+      });
+    });
+  }
 
   const failedModelRefs = Array.from(
     new Set([
@@ -1573,8 +1585,6 @@ export async function generateCanvasImage(
     ].filter(Boolean))
   );
   const allowFailover = request.allowFailover !== false;
-  const scaleAdjustRejected =
-    caughtError instanceof ScaleAdjustOutputRejectedError;
   const shouldFailover =
     shouldFailoverAiModelError(caughtError) ||
     scaleAdjustRejected ||

lib/client/long-task.ts

@@ -119,7 +119,7 @@ export async function requestLongTaskResult(params: {
     pollingParams.set(key, String(value));
   }
 
-  const timeoutMs = Math.max(10_000, params.timeoutMs ?? 8 * 60 * 1000);
+  const timeoutMs = Math.max(10_000, params.timeoutMs ?? 20 * 60 * 1000);
   const maxPollFailures = Math.max(1, params.maxPollFailures ?? 4);
   const startedAt = Date.now();
   let pollAfterMs = Math.max(800, Number(result?.pollAfterMs || 1500));