Fix workflow (#5592)

* fix: fileselector default

* fix: workflow run process

document/content/docs/upgrading/4-12/4123.mdx

@@ -14,5 +14,7 @@ description: 'FastGPT V4.12.3 更新说明'
 ## 🐛 修复
 
 1. 单团队模式下，如果用户离开，则无法重新进入团队。
+2. 工作流文件上传默认打开，但输入侧未添加文件输出。
+3. 连续用户选择，分支无法正常运行。
 
 ## 🔨 工具更新

document/data/doc-last-modified.json

@@ -105,7 +105,7 @@
   "document/content/docs/upgrading/4-12/4120.mdx": "2025-08-12T22:45:19+08:00",
   "document/content/docs/upgrading/4-12/4121.mdx": "2025-08-15T22:53:06+08:00",
   "document/content/docs/upgrading/4-12/4122.mdx": "2025-08-27T00:31:33+08:00",
-  "document/content/docs/upgrading/4-12/4123.mdx": "2025-08-29T01:24:19+08:00",
+  "document/content/docs/upgrading/4-12/4123.mdx": "2025-09-04T13:48:03+08:00",
   "document/content/docs/upgrading/4-8/40.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/41.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/42.mdx": "2025-08-02T19:38:37+08:00",

packages/global/core/app/constants.ts

@@ -45,7 +45,7 @@ export const defaultChatInputGuideConfig = {
 };
 
 export const defaultAppSelectFileConfig: AppFileSelectConfigType = {
-  canSelectFile: true,
+  canSelectFile: false,
   canSelectImg: false,
   maxFiles: 10
 };

packages/global/core/workflow/template/system/interactive/type.d.ts

@@ -8,6 +8,7 @@ type InteractiveBasicType = {
   entryNodeIds: string[];
   memoryEdges: RuntimeEdgeItemType[];
   nodeOutputs: NodeOutputItemType[];
+  skipNodeQueue?: { id: string; skippedNodeIdList: string[] }[]; // 需要记录目前在 queue 里的节点
   toolParams?: {
     entryNodeIds: string[]; // 记录工具中，交互节点的 Id，而不是起始工作流的入口
     memoryMessages: ChatCompletionMessageParam[]; // 这轮工具中，产生的新的 messages

packages/service/core/workflow/dispatch/index.ts

@@ -42,7 +42,7 @@ import type { RuntimeEdgeItemType } from '@fastgpt/global/core/workflow/type/edg
 import type { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
 import { addLog } from '../../../common/system/log';
 import { surrenderProcess } from '../../../common/system/tools';
-import type { DispatchFlowResponse } from './type';
+import type { DispatchFlowResponse, WorkflowDebugResponse } from './type';
 import { removeSystemVariable, rewriteRuntimeWorkFlow } from './utils';
 import { getHandleId } from '@fastgpt/global/core/workflow/utils';
 import { callbackMap } from './constants';
@@ -50,6 +50,7 @@ import { callbackMap } from './constants';
 type Props = Omit<ChatDispatchProps, 'workflowDispatchDeep'> & {
   runtimeNodes: RuntimeNodeItemType[];
   runtimeEdges: RuntimeEdgeItemType[];
+  defaultSkipNodeQueue?: WorkflowDebugResponse['skipNodeQueue'];
 };
 type NodeResponseType = DispatchNodeResultType<{
   [key: string]: any;
@@ -100,6 +101,7 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
   // Init some props
   return runWorkflow({
     ...data,
+    defaultSkipNodeQueue: data.lastInteractive?.skipNodeQueue || data.defaultSkipNodeQueue,
     variables: defaultVariables,
     workflowDispatchDeep: 0
   }).finally(() => {
@@ -112,12 +114,14 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
 type RunWorkflowProps = ChatDispatchProps & {
   runtimeNodes: RuntimeNodeItemType[];
   runtimeEdges: RuntimeEdgeItemType[];
+  defaultSkipNodeQueue?: WorkflowDebugResponse['skipNodeQueue'];
 };
 export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowResponse> => {
   let {
     res,
     runtimeNodes = [],
     runtimeEdges = [],
+    defaultSkipNodeQueue,
     histories = [],
     variables = {},
     externalProvider,
@@ -135,9 +139,10 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
       flowResponses: [],
       flowUsages: [],
       debugResponse: {
-        finishedNodes: [],
+        memoryEdges: [],
-        finishedEdges: [],
+        entryNodeIds: [],
-        nextStepRunNodes: []
+        nodeResponses: {},
+        skipNodeQueue: []
       },
       [DispatchNodeResponseKeyEnum.runTimes]: 1,
       [DispatchNodeResponseKeyEnum.assistantResponses]: [],
@@ -151,6 +156,8 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
 
   await rewriteRuntimeWorkFlow({ nodes: runtimeNodes, edges: runtimeEdges, lang: data.lang });
 
+  const isDebugMode = data.mode === 'debug';
+
   /* 
     工作流队列控制
     特点：
@@ -176,7 +183,6 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
     chatAssistantResponse: AIChatItemValueItemType[] = []; // The value will be returned to the user
     chatNodeUsages: ChatNodeUsageType[] = [];
     toolRunResponse: ToolRunResponseItemType; // Run with tool mode. Result will response to tool node.
-    debugNextStepRunNodes: RuntimeNodeItemType[] = []; // 记录 Debug 模式下，下一个阶段需要执行的节点。
     // 记录交互节点，交互节点需要在工作流完全结束后再进行计算
     nodeInteractiveResponse:
       | {
@@ -186,22 +192,38 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
       | undefined;
     system_memories: Record<string, any> = {}; // Workflow node memories
 
+    // Debug
+    debugNextStepRunNodes: RuntimeNodeItemType[] = []; // 记录 Debug 模式下，下一个阶段需要执行的节点。
+    debugNodeResponses: WorkflowDebugResponse['nodeResponses'] = {};
+
     // Queue variables
     private activeRunQueue = new Set<string>();
-    private skipNodeQueue: { node: RuntimeNodeItemType; skippedNodeIdList: Set<string> }[] = [];
+    private skipNodeQueue = new Map<
+      string,
+      { node: RuntimeNodeItemType; skippedNodeIdList: Set<string> }
+    >();
     private runningNodeCount = 0;
     private maxConcurrency: number;
     private resolve: (e: WorkflowQueue) => void;
 
     constructor({
       maxConcurrency = 10,
+      defaultSkipNodeQueue,
       resolve
     }: {
       maxConcurrency?: number;
+      defaultSkipNodeQueue?: WorkflowDebugResponse['skipNodeQueue'];
       resolve: (e: WorkflowQueue) => void;
     }) {
       this.maxConcurrency = maxConcurrency;
       this.resolve = resolve;
+
+      // Init skip node queue
+      defaultSkipNodeQueue?.forEach(({ id, skippedNodeIdList }) => {
+        const node = this.runtimeNodesMap.get(id);
+        if (!node) return;
+        this.addSkipNode(node, new Set(skippedNodeIdList));
+      });
     }
 
     // Add active node to queue (if already in the queue, it will not be added again)
@@ -217,7 +239,18 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
     private processActiveNode() {
       // Finish
       if (this.activeRunQueue.size === 0 && this.runningNodeCount === 0) {
-        if (this.skipNodeQueue.length > 0 && !this.nodeInteractiveResponse) {
+        if (isDebugMode) {
+          // 没有下一个激活节点，说明debug 进入了一个“即将结束”状态。可以开始处理 skip 节点
+          if (this.debugNextStepRunNodes.length === 0 && this.skipNodeQueue.size > 0) {
+            this.processSkipNodes();
+          } else {
+            this.resolve(this);
+          }
+          return;
+        }
+
+        // 如果没有交互响应，则开始处理 skip（交互响应的 skip 需要留给后续处理）
+        if (this.skipNodeQueue.size > 0 && !this.nodeInteractiveResponse) {
           this.processSkipNodes();
         } else {
           this.resolve(this);
@@ -251,11 +284,19 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
     }
 
     private addSkipNode(node: RuntimeNodeItemType, skippedNodeIdList: Set<string>) {
-      this.skipNodeQueue.push({ node, skippedNodeIdList });
+      // 保证一个node 只在queue里记录一次
+      const skipNodeSkippedNodeIdList =
+        this.skipNodeQueue.get(node.nodeId)?.skippedNodeIdList || new Set<string>();
+
+      const concatSkippedNodeIdList = new Set([...skippedNodeIdList, ...skipNodeSkippedNodeIdList]);
+
+      this.skipNodeQueue.set(node.nodeId, { node, skippedNodeIdList: concatSkippedNodeIdList });
     }
     private processSkipNodes() {
-      const skipItem = this.skipNodeQueue.shift();
+      // 取一个 node，并且从队列里删除
+      const skipItem = this.skipNodeQueue.values().next().value;
       if (skipItem) {
+        this.skipNodeQueue.delete(skipItem.node.nodeId);
         this.checkNodeCanRun(skipItem.node, skipItem.skippedNodeIdList).finally(() => {
           this.processActiveNode();
         });
@@ -351,7 +392,7 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
         runtimeNodes,
         runtimeEdges,
         params,
-        mode: data.mode === 'debug' ? 'test' : data.mode
+        mode: isDebugMode ? 'test' : data.mode
       };
 
       // run module
@@ -620,18 +661,6 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
         const nextStepActiveNodes = Array.from(nextStepActiveNodesMap.values());
         const nextStepSkipNodes = Array.from(nextStepSkipNodesMap.values());
 
-        if (data.mode === 'debug') {
-          this.debugNextStepRunNodes = this.debugNextStepRunNodes.concat(
-            data.lastInteractive
-              ? nextStepActiveNodes
-              : [...nextStepActiveNodes, ...nextStepSkipNodes]
-          );
-          return {
-            nextStepActiveNodes: [],
-            nextStepSkipNodes: []
-          };
-        }
-
         return {
           nextStepActiveNodes,
           nextStepSkipNodes
@@ -690,8 +719,31 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
           return this.nodeRunWithSkip(node);
         }
       })();
+
       if (!nodeRunResult) return;
 
+      // Store debug data
+      if (isDebugMode) {
+        if (status === 'run') {
+          this.debugNodeResponses[node.nodeId] = {
+            nodeId: node.nodeId,
+            type: 'run',
+            interactiveResponse: nodeRunResult.result[DispatchNodeResponseKeyEnum.interactive],
+            response: nodeRunResult.result[DispatchNodeResponseKeyEnum.nodeResponse]
+          };
+        } else if (status === 'skip') {
+          this.debugNodeResponses[node.nodeId] = {
+            nodeId: node.nodeId,
+            type: 'skip',
+            response: nodeRunResult.result[DispatchNodeResponseKeyEnum.nodeResponse]
+          };
+        }
+      }
+      // 如果一个节点 active 运行了，则需要把它从 skip queue 里删除
+      if (status === 'run') {
+        this.skipNodeQueue.delete(node.nodeId);
+      }
+
       /*
         特殊情况：
         通过 skipEdges 可以判断是运行了分支节点。
@@ -704,22 +756,6 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
         skippedNodeIdList.add(node.nodeId);
       }
 
-      // In the current version, only one interactive node is allowed at the same time
-      const interactiveResponse = nodeRunResult.result?.[DispatchNodeResponseKeyEnum.interactive];
-      if (interactiveResponse) {
-        pushStore(nodeRunResult.result);
-
-        if (data.mode === 'debug') {
-          this.debugNextStepRunNodes = this.debugNextStepRunNodes.concat([nodeRunResult.node]);
-        }
-
-        this.nodeInteractiveResponse = {
-          entryNodeIds: [nodeRunResult.node.nodeId],
-          interactiveResponse
-        };
-        return;
-      }
-
       // Update the node output at the end of the run and get the next nodes
       const { nextStepActiveNodes, nextStepSkipNodes } = nodeOutput(
         nodeRunResult.node,
@@ -730,10 +766,26 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
         this.addSkipNode(node, skippedNodeIdList);
       });
 
-      // Run next nodes
+      // In the current version, only one interactive node is allowed at the same time
-      nextStepActiveNodes.forEach((node) => {
+      const interactiveResponse = nodeRunResult.result[DispatchNodeResponseKeyEnum.interactive];
-        this.addActiveNode(node.nodeId);
+      if (interactiveResponse) {
-      });
+        if (isDebugMode) {
+          this.debugNextStepRunNodes = this.debugNextStepRunNodes.concat([nodeRunResult.node]);
+        }
+
+        this.nodeInteractiveResponse = {
+          entryNodeIds: [nodeRunResult.node.nodeId],
+          interactiveResponse
+        };
+        return;
+      } else if (isDebugMode) {
+        // Debug 模式下一步时候，会自己增加 activeNode
+        this.debugNextStepRunNodes = this.debugNextStepRunNodes.concat(nextStepActiveNodes);
+      } else {
+        nextStepActiveNodes.forEach((node) => {
+          this.addActiveNode(node.nodeId);
+        });
+      }
     }
 
     /* Have interactive result, computed edges and node outputs */
@@ -760,6 +812,10 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
 
       const interactiveResult: WorkflowInteractiveResponseType = {
         ...interactiveResponse,
+        skipNodeQueue: Array.from(this.skipNodeQueue.values()).map((item) => ({
+          id: item.node.nodeId,
+          skippedNodeIdList: Array.from(item.skippedNodeIdList)
+        })),
         entryNodeIds,
         memoryEdges: runtimeEdges.map((edge) => ({
           ...edge,
@@ -781,6 +837,22 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
         interactive: interactiveResult
       };
     }
+    getDebugResponse(): WorkflowDebugResponse {
+      const entryNodeIds = this.debugNextStepRunNodes.map((item) => item.nodeId);
+
+      return {
+        memoryEdges: runtimeEdges.map((edge) => ({
+          ...edge,
+          status: entryNodeIds.includes(edge.target) ? 'active' : edge.status
+        })),
+        entryNodeIds,
+        nodeResponses: this.debugNodeResponses,
+        skipNodeQueue: Array.from(this.skipNodeQueue.values()).map((item) => ({
+          id: item.node.nodeId,
+          skippedNodeIdList: Array.from(item.skippedNodeIdList)
+        }))
+      };
+    }
   }
 
   // Start process width initInput
@@ -799,7 +871,8 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
 
   const workflowQueue = await new Promise<WorkflowQueue>((resolve) => {
     const workflowQueue = new WorkflowQueue({
-      resolve
+      resolve,
+      defaultSkipNodeQueue
     });
 
     entryNodes.forEach((node) => {
@@ -833,11 +906,7 @@ export const runWorkflow = async (data: RunWorkflowProps): Promise<DispatchFlowR
   return {
     flowResponses: workflowQueue.chatResponses,
     flowUsages: workflowQueue.chatNodeUsages,
-    debugResponse: {
+    debugResponse: workflowQueue.getDebugResponse(),
-      finishedNodes: runtimeNodes,
-      finishedEdges: runtimeEdges,
-      nextStepRunNodes: workflowQueue.debugNextStepRunNodes
-    },
     workflowInteractiveResponse: interactiveResult,
     [DispatchNodeResponseKeyEnum.runTimes]: workflowQueue.workflowRunTimes,
     [DispatchNodeResponseKeyEnum.assistantResponses]: mergeAssistantResponseAnswerText(

packages/service/core/workflow/dispatch/type.d.ts

@@ -13,14 +13,24 @@ import type { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workf
 import type { RuntimeEdgeItemType } from '@fastgpt/global/core/workflow/type/edge';
 import type { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
 
+export type WorkflowDebugResponse = {
+  memoryEdges: RuntimeEdgeItemType[];
+  entryNodeIds: string[]; // Next step entry nodes
+  nodeResponses: Record<
+    string,
+    {
+      nodeId: string;
+      type: 'skip' | 'run';
+      response?: ChatHistoryItemResType;
+      interactiveResponse?: InteractiveNodeResponseType;
+    }
+  >;
+  skipNodeQueue?: { id: string; skippedNodeIdList: string[] }[]; // Cache
+};
 export type DispatchFlowResponse = {
   flowResponses: ChatHistoryItemResType[];
   flowUsages: ChatNodeUsageType[];
-  debugResponse: {
+  debugResponse: WorkflowDebugResponse;
-    finishedNodes: RuntimeNodeItemType[];
-    finishedEdges: RuntimeEdgeItemType[];
-    nextStepRunNodes: RuntimeNodeItemType[];
-  };
   workflowInteractiveResponse?: WorkflowInteractiveResponseType;
   [DispatchNodeResponseKeyEnum.toolResponses]: ToolRunResponseItemType;
   [DispatchNodeResponseKeyEnum.assistantResponses]: AIChatItemValueItemType[];

projects/app/src/components/core/app/FileSelect.tsx

@@ -17,7 +17,6 @@ import { useTranslation } from 'next-i18next';
 import type { AppFileSelectConfigType } from '@fastgpt/global/core/app/type.d';
 import MyModal from '@fastgpt/web/components/common/MyModal';
 import MySlider from '@/components/Slider';
-import { defaultAppSelectFileConfig } from '@fastgpt/global/core/app/constants';
 import ChatFunctionTip from './Tip';
 import FormLabel from '@fastgpt/web/components/common/MyBox/FormLabel';
 import { useMount } from 'ahooks';
@@ -25,6 +24,7 @@ import { useSystemStore } from '@/web/common/system/useSystemStore';
 import QuestionTip from '@fastgpt/web/components/common/MyTooltip/QuestionTip';
 import MyTag from '@fastgpt/web/components/common/Tag/index';
 import MyDivider from '@fastgpt/web/components/common/MyDivider';
+import { defaultAppSelectFileConfig } from '@fastgpt/global/core/app/constants';
 
 const FileSelect = ({
   forbidVision = false,

projects/app/src/global/core/workflow/api.d.ts

@@ -5,21 +5,18 @@ import type { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workf
 import { StoreNodeItemType } from '@fastgpt/global/core/workflow/type';
 import type { RuntimeEdgeItemType } from '@fastgpt/global/core/workflow/type/edge';
 import { StoreEdgeItemType } from '@fastgpt/global/core/workflow/type/edge';
+import type { WorkflowDebugResponse } from '@fastgpt/service/core/workflow/dispatch/type';
 
 export type PostWorkflowDebugProps = {
   nodes: RuntimeNodeItemType[];
   edges: RuntimeEdgeItemType[];
+  skipNodeQueue?: WorkflowDebugResponse['skipNodeQueue'];
   variables: Record<string, any>;
   appId: string;
   query?: UserChatItemValueItemType[];
   history?: ChatItemType[];
 };
 
-export type PostWorkflowDebugResponse = {
+export type PostWorkflowDebugResponse = WorkflowDebugResponse & {
-  finishedNodes: RuntimeNodeItemType[];
-  finishedEdges: RuntimeEdgeItemType[];
-  nextStepRunNodes: RuntimeNodeItemType[];
-  flowResponses: ChatHistoryItemResType[];
-  workflowInteractiveResponse?: WorkflowInteractiveResponseType;
   newVariables: Record<string, any>;
 };

projects/app/src/pageComponents/app/detail/SimpleApp/EditForm.tsx

@@ -31,7 +31,6 @@ import FormLabel from '@fastgpt/web/components/common/MyBox/FormLabel';
 import VariableTip from '@/components/common/Textarea/MyTextarea/VariableTip';
 import { getWebLLMModel } from '@/web/common/system/utils';
 import ToolSelect from './components/ToolSelect';
-import { useSystemStore } from '@/web/common/system/useSystemStore';
 import OptimizerPopover from '@/components/common/PromptEditor/OptimizerPopover';
 
 const DatasetSelectModal = dynamic(() => import('@/components/core/app/DatasetSelectModal'));
@@ -148,7 +147,7 @@ const EditForm = ({
     },
     [appForm.aiSettings.systemPrompt, setAppForm]
   );
-
+  console.log(appForm.chatConfig.fileSelectConfig);
   return (
     <>
       <Box>

projects/app/src/pageComponents/app/detail/SimpleApp/index.tsx

@@ -11,6 +11,7 @@ import { type SimpleAppSnapshotType, useSimpleAppSnapshots } from './useSnapshot
 import { useDebounceEffect, useMount } from 'ahooks';
 import { v1Workflow2V2 } from '@/web/core/workflow/adapt';
 import { getAppConfigByDiff } from '@/web/core/app/diff';
+import { defaultAppSelectFileConfig } from '@fastgpt/global/core/app/constants';
 
 const Edit = dynamic(() => import('./Edit'));
 const Logs = dynamic(() => import('../Logs/index'));
@@ -79,7 +80,13 @@ const SimpleEdit = () => {
     if (past.length === 0) {
       const appForm = appWorkflow2Form({
         nodes: appDetail.modules,
-        chatConfig: appDetail.chatConfig
+        chatConfig: {
+          ...appDetail.chatConfig,
+          fileSelectConfig: appDetail.chatConfig.fileSelectConfig || {
+            ...defaultAppSelectFileConfig,
+            canSelectFile: true
+          }
+        }
       });
       saveSnapshot({
         appForm,

projects/app/src/pageComponents/app/detail/WorkflowComponents/Flow/nodes/render/RenderDebug/NodeDebugResponse.tsx

@@ -127,11 +127,9 @@ const NodeDebugResponse = ({ nodeId, debugResult }: NodeDebugResponseProps) => {
         }
       ];
 
-      const lastInteractive = getLastInteractiveValue(mockHistory);
       onNextNodeDebug({
         ...workflowDebugData,
-        // Rewrite runtimeEdges
+        runtimeEdges: workflowDebugData.runtimeEdges,
-        runtimeEdges: storeEdges2RuntimeEdges(workflowDebugData.runtimeEdges, lastInteractive),
         query: updatedQuery,
         history: mockHistory
       });
@@ -189,7 +187,7 @@ const NodeDebugResponse = ({ nodeId, debugResult }: NodeDebugResponseProps) => {
             <Box fontWeight={'bold'} flex={'1'}>
               {t('common:core.workflow.debug.Run result')}
             </Box>
-            {workflowDebugData?.nextRunNodes.length !== 0 && (
+            {workflowDebugData?.entryNodeIds.length !== 0 && (
               <PopoverConfirm
                 Trigger={
                   <Button
@@ -209,8 +207,8 @@ const NodeDebugResponse = ({ nodeId, debugResult }: NodeDebugResponseProps) => {
               <>
                 {(debugResult.status === 'success' || debugResult.status === 'skipped') &&
                   !debugResult.isExpired &&
-                  workflowDebugData?.nextRunNodes &&
+                  workflowDebugData?.entryNodeIds &&
-                  workflowDebugData.nextRunNodes.length > 0 && (
+                  workflowDebugData.entryNodeIds.length > 0 && (
                     <Button
                       ml={2}
                       size={'sm'}
@@ -221,8 +219,8 @@ const NodeDebugResponse = ({ nodeId, debugResult }: NodeDebugResponseProps) => {
                       {t('common:next_step')}
                     </Button>
                   )}
-                {workflowDebugData?.nextRunNodes &&
+                {workflowDebugData?.entryNodeIds &&
-                  workflowDebugData?.nextRunNodes.length === 0 && (
+                  workflowDebugData?.entryNodeIds.length === 0 && (
                     <Button ml={2} size={'sm'} variant={'primary'} onClick={onStopNodeDebug}>
                       {t('common:core.workflow.debug.Done')}
                     </Button>

projects/app/src/pageComponents/app/detail/WorkflowComponents/context/index.tsx

@@ -54,12 +54,12 @@ import { cloneDeep } from 'lodash';
 import { type AppVersionSchemaType } from '@fastgpt/global/core/app/version';
 import WorkflowInitContextProvider, { WorkflowNodeEdgeContext } from './workflowInitContext';
 import WorkflowEventContextProvider from './workflowEventContext';
-import { getAppConfigByDiff } from '@/web/core/app/diff';
 import WorkflowStatusContextProvider from './workflowStatusContext';
 import { type ChatItemType, type UserChatItemValueItemType } from '@fastgpt/global/core/chat/type';
 import { type WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
 import { FlowNodeOutputTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
 import { useChatStore } from '@/web/core/chat/context/useChatStore';
+import type { WorkflowDebugResponse } from '@fastgpt/service/core/workflow/dispatch/type';
 
 /* 
   Context
@@ -266,7 +266,9 @@ type WorkflowContextType = {
 export type DebugDataType = {
   runtimeNodes: RuntimeNodeItemType[];
   runtimeEdges: RuntimeEdgeItemType[];
-  nextRunNodes: RuntimeNodeItemType[];
+  entryNodeIds: string[];
+  skipNodeQueue?: WorkflowDebugResponse['skipNodeQueue'];
+
   variables: Record<string, any>;
   history?: ChatItemType[];
   query?: UserChatItemValueItemType[];
@@ -686,112 +688,67 @@ const WorkflowContextProvider = ({
         }))
       );
 
-      // 2. Set isEntry field and get entryNodes
+      // 2. Set isEntry field and get entryNodes, and set running status
       const runtimeNodes = debugData.runtimeNodes.map((item) => ({
         ...item,
-        isEntry: debugData.nextRunNodes.some((node) => node.nodeId === item.nodeId)
+        isEntry: debugData.entryNodeIds.some((id) => id === item.nodeId)
       }));
-      const entryNodes = runtimeNodes.filter((item) => item.isEntry);
+      const entryNodes = runtimeNodes.filter((item) => {
-
+        if (item.isEntry) {
-      const runtimeNodeStatus: Record<string, string> = entryNodes
-        .map((node) => {
-          const status = checkNodeRunStatus({
-            node,
-            nodesMap: new Map(runtimeNodes.map((item) => [item.nodeId, item])),
-            runtimeEdges: debugData?.runtimeEdges || []
-          });
-
-          return {
-            nodeId: node.nodeId,
-            status
-          };
-        })
-        .reduce(
-          (acc, cur) => ({
-            ...acc,
-            [cur.nodeId]: cur.status
-          }),
-          {}
-        );
-
-      // 3. Set entry node status to running
-      entryNodes.forEach((node) => {
-        if (runtimeNodeStatus[node.nodeId] !== 'wait') {
           onChangeNode({
-            nodeId: node.nodeId,
+            nodeId: item.nodeId,
             type: 'attr',
             key: 'debugResult',
             value: defaultRunningStatus
           });
+          return true;
         }
       });
 
       try {
-        // 4. Run one step
+        // 3. Run one step
-        const {
+        const { memoryEdges, entryNodeIds, skipNodeQueue, nodeResponses, newVariables } =
-          finishedEdges,
+          await postWorkflowDebug({
-          finishedNodes,
+            nodes: runtimeNodes,
-          nextStepRunNodes,
+            edges: debugData.runtimeEdges,
-          flowResponses,
+            skipNodeQueue: debugData.skipNodeQueue,
-          newVariables,
+            variables: {
-          workflowInteractiveResponse
+              appId,
-        } = await postWorkflowDebug({
+              cTime: formatTime2YMDHMW(),
-          nodes: runtimeNodes,
+              ...debugData.variables
-          edges: debugData.runtimeEdges,
+            },
-          variables: {
+            query: debugData.query, // 添加 query 参数
-            appId,
+            history: debugData.history,
-            cTime: formatTime2YMDHMW(),
+            appId
-            ...debugData.variables
+          });
-          },
-          query: debugData.query, // 添加 query 参数
-          history: debugData.history,
-          appId
-        });
 
-        // 5. Store debug result
+        // 4. Store debug result
         setWorkflowDebugData({
-          runtimeNodes: finishedNodes,
+          runtimeNodes: debugData.runtimeNodes,
-          // edges need to save status
+          runtimeEdges: memoryEdges,
-          runtimeEdges: finishedEdges,
+          entryNodeIds,
-          nextRunNodes: nextStepRunNodes,
+          skipNodeQueue,
-          variables: newVariables,
+          variables: newVariables
-          workflowInteractiveResponse: workflowInteractiveResponse
         });
 
-        // 6. selected entry node and Update entry node debug result
+        // 5. selected entry node and Update entry node debug result
         setNodes((state) =>
           state.map((node) => {
             const isEntryNode = entryNodes.some((item) => item.nodeId === node.data.nodeId);
 
-            if (!isEntryNode || runtimeNodeStatus[node.data.nodeId] === 'wait') return node;
+            const result = nodeResponses[node.data.nodeId];
-
+            if (!result) return node;
-            const result = flowResponses.find((item) => item.nodeId === node.data.nodeId);
-
-            if (runtimeNodeStatus[node.data.nodeId] === 'skip') {
-              return {
-                ...node,
-                selected: isEntryNode,
-                data: {
-                  ...node.data,
-                  debugResult: {
-                    status: 'skipped',
-                    showResult: true,
-                    isExpired: false
-                  }
-                }
-              };
-            }
             return {
               ...node,
-              selected: isEntryNode,
+              selected: result.type === 'run' && isEntryNode,
               data: {
                 ...node.data,
                 debugResult: {
-                  status: 'success',
+                  status: result.type === 'run' ? 'success' : 'skipped',
-                  response: result,
+                  response: result.response,
                   showResult: true,
                   isExpired: false,
-                  workflowInteractiveResponse: workflowInteractiveResponse
+                  workflowInteractiveResponse: result.interactiveResponse
                 }
               }
             };
@@ -799,13 +756,9 @@ const WorkflowContextProvider = ({
         );
 
         // Check for an empty response(Skip node)
-        if (
+        // if (!workflowInteractiveResponse && flowResponses.length === 0 && entryNodeIds.length > 0) {
-          !workflowInteractiveResponse &&
+        //   onNextNodeDebug(debugData);
-          flowResponses.length === 0 &&
+        // }
-          nextStepRunNodes.length > 0
-        ) {
-          onNextNodeDebug(debugData);
-        }
       } catch (error) {
         entryNodes.forEach((node) => {
           onChangeNode({
@@ -856,7 +809,10 @@ const WorkflowContextProvider = ({
       const data: DebugDataType = {
         runtimeNodes,
         runtimeEdges,
-        nextRunNodes: runtimeNodes.filter((node) => node.nodeId === entryNodeId),
+        entryNodeIds: runtimeNodes
+          .filter((node) => node.nodeId === entryNodeId)
+          .map((node) => node.nodeId),
+        skipNodeQueue: [],
         variables,
         query,
         history

projects/app/src/pages/api/core/workflow/debug.ts

@@ -21,6 +21,7 @@ async function handler(
   const {
     nodes = [],
     edges = [],
+    skipNodeQueue,
     variables = {},
     appId,
     query = [],
@@ -47,34 +48,34 @@ async function handler(
 
   // auth balance
   const { timezone, externalProvider } = await getUserChatInfoAndAuthTeamPoints(tmbId);
-  const lastInteractive = getLastInteractiveValue(history);
+  const interactive = getLastInteractiveValue(history);
 
   /* start process */
-  const { flowUsages, flowResponses, debugResponse, newVariables, workflowInteractiveResponse } =
+  const { flowUsages, debugResponse, newVariables } = await dispatchWorkFlow({
-    await dispatchWorkFlow({
+    res,
-      res,
+    lang: getLocale(req),
-      lang: getLocale(req),
+    requestOrigin: req.headers.origin,
-      requestOrigin: req.headers.origin,
+    mode: 'debug',
-      mode: 'debug',
+    timezone,
-      timezone,
+    externalProvider,
-      externalProvider,
+    uid: tmbId,
-      uid: tmbId,
+    runningAppInfo: {
-      runningAppInfo: {
+      id: app._id,
-        id: app._id,
+      teamId: app.teamId,
-        teamId: app.teamId,
+      tmbId: app.tmbId
-        tmbId: app.tmbId
+    },
-      },
+    runningUserInfo: await getRunningUserInfoByTmbId(tmbId),
-      runningUserInfo: await getRunningUserInfoByTmbId(tmbId),
+    runtimeNodes: nodes,
-      runtimeNodes: nodes,
+    runtimeEdges: edges,
-      runtimeEdges: edges,
+    defaultSkipNodeQueue: skipNodeQueue,
-      lastInteractive,
+    lastInteractive: interactive,
-      variables,
+    variables,
-      query: query,
+    query: query,
-      chatConfig: defaultApp.chatConfig,
+    chatConfig: defaultApp.chatConfig,
-      histories: history,
+    histories: history,
-      stream: false,
+    stream: false,
-      maxRunTimes: WORKFLOW_MAX_RUN_TIMES
+    maxRunTimes: WORKFLOW_MAX_RUN_TIMES
-    });
+  });
 
   createChatUsage({
     appName: `${app.name}-Debug`,
@@ -86,10 +87,8 @@ async function handler(
   });
 
   return {
-    ...debugResponse,
+    ...debugResponse!,
-    newVariables,
+    newVariables
-    flowResponses,
-    workflowInteractiveResponse
   };
 }