Release update (#1580)

* release doc * fix: reg metch * perf: tool call arg * fix: stream update variables * remove status * update prompt * rename embeddong model
2025-07-23 05:12:39 +00:00 · 2024-05-24 11:07:03 +08:00
parent 92a3d6d268
commit 9c7c74050b
23 changed files with 119 additions and 93 deletions
--- a/docSite/content/docs/development/openapi/chat.md
+++ b/docSite/content/docs/development/openapi/chat.md
@@ -69,7 +69,7 @@ curl --location --request POST 'https://api.fastgpt.in/api/v1/chat/completions'

 ## 响应

-{{< tabs tabTotal="4" >}}
+{{< tabs tabTotal="5" >}}
 {{< tab tabName="detail=false,stream=false 响应" >}}
 {{< markdownify >}}

@@ -242,6 +242,24 @@ event: appStreamResponse
 data: [{"moduleName":"知识库搜索","moduleType":"datasetSearchNode","runningTime":1.78},{"question":"导演是谁","quoteList":[{"id":"654f2e49b64caef1d9431e8b","q":"电影《铃芽之旅》的导演是谁？","a":"电影《铃芽之旅》的导演是新海诚!","indexes":[{"type":"qa","dataId":"3515487","text":"电影《铃芽之旅》的导演是谁？","_id":"654f2e49b64caef1d9431e8c","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8935586214065552},{"id":"6552e14c50f4a2a8e632af11","q":"导演是谁？","a":"电影《铃芽之旅》的导演是新海诚。","indexes":[{"defaultIndex":true,"type":"qa","dataId":"3644565","text":"导演是谁？\n电影《铃芽之旅》的导演是新海诚。","_id":"6552e14dde5cc7ba3954e417"}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8890955448150635},{"id":"654f34a0b64caef1d946337e","q":"本作的主人公是谁？","a":"本作的主人公是名叫铃芽的少女。","indexes":[{"type":"qa","dataId":"3515541","text":"本作的主人公是谁？","_id":"654f34a0b64caef1d946337f","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8738770484924316},{"id":"654f3002b64caef1d944207a","q":"电影《铃芽之旅》男主角是谁？","a":"电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。","indexes":[{"type":"qa","dataId":"3515538","text":"电影《铃芽之旅》男主角是谁？","_id":"654f3002b64caef1d944207b","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8607980012893677},{"id":"654f2fc8b64caef1d943fd46","q":"电影《铃芽之旅》的编剧是谁？","a":"新海诚是本片的编剧。","indexes":[{"defaultIndex":true,"type":"qa","dataId":"3515550","text":"电影《铃芽之旅》的编剧是谁？22","_id":"654f2fc8b64caef1d943fd47"}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8468944430351257}],"moduleName":"AI 对话","moduleType":"chatNode","runningTime":1.86}]
 ```

+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="detail=true,stream=true 时，event值" >}}
+{{< markdownify >}}
+
+event取值：
+
+- answer: 返回给客户端的文本（最终会算作回答）
+- fastAnswer: 指定回复返回给客户端的文本（最终会算作回答）
+- toolCall: 执行工具
+- toolParams: 工具参数
+- toolResponse: 工具返回
+- flowNodeStatus: 运行到的节点状态
+- flowResponses: 节点完整响应
+- updateVariables: 更新变量
+- error: 报错
+
 {{< /markdownify >}}
 {{< /tab >}}
 {{< /tabs >}}
--- a/docSite/content/docs/development/upgrading/481.md
+++ b/docSite/content/docs/development/upgrading/481.md
@@ -1,5 +1,5 @@
 ---
-title: 'V4.8.1(进行中)'
+title: 'V4.8.1'
 description: 'FastGPT V4.8.1 更新说明'
 icon: 'upgrade'
 draft: false
@@ -34,12 +34,6 @@ curl --location --request POST 'https://{{host}}/api/admin/clearInvalidData' \

 ## V4.8.1 更新说明

-1. 新增 - 知识库重新选择向量模型重建
-2. 新增 - 对话框支持问题模糊检索提示，可自定义预设问题词库。
-3. 新增 - 工作流节点版本变更提示，并可以同步最新版本配置，避免存在隐藏脏数据。
-4. 新增 - 开放文件导入知识库接口到开源版， [点击插件文档](/docs/development/openapi/dataset/#创建一个文件集合)
-5. 新增 - 外部文件源知识库, [点击查看文档](/docs/course/externalfile/)
-6. 优化 - 插件输入的 debug 模式，支持全量参数输入渲染。
-7. 修复 - 插件输入默认值被清空问题。
-8. 修复 - 工作流删除节点的动态输入和输出时候，没有正确的删除连接线，导致可能出现逻辑异常。
-9. 修复 - 定时器清理脏数据任务
+使用 Chat api 接口需要注意，增加了 event: updateVariables 事件，用于更新变量。
+
+[点击查看升级说明](https://github.com/labring/FastGPT/releases/tag/v4.8.1)
--- a/files/deploy/fastgpt/docker-compose.yml
+++ b/files/deploy/fastgpt/docker-compose.yml
@@ -69,8 +69,8 @@ services:
        wait $$!
  fastgpt:
    container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.1 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 # 阿里云
    ports:
      - 3000:3000
    networks:
--- a/packages/global/common/string/tools.ts
+++ b/packages/global/common/string/tools.ts
@@ -71,7 +71,7 @@ export const replaceRegChars = (text: string) => text.replace(/[.*+?^${}()|[\]\\
 export const sliceJsonStr = (str: string) => {
  str = str.replace(/(\\n|\\)/g, '').replace(/  /g, '');

-  const jsonRegex = /{[^{}]*}/g;
+  const jsonRegex = /{(?:[^{}]|{(?:[^{}]|{[^{}]*})*})*}/g;
  const matches = str.match(jsonRegex);

  if (!matches) {
--- a/packages/global/core/workflow/template/system/variableUpdate/index.tsx
+++ b/packages/global/core/workflow/template/system/variableUpdate/index.tsx
@@ -16,7 +16,7 @@ export const VariableUpdateNode: FlowNodeTemplateType = {
  avatar: '/imgs/workflow/variable.png',
  name: '变量更新',
  intro: '可以更新指定节点的输出值或更新全局变量',
-  showStatus: true,
+  showStatus: false,
  isTool: false,
  version: '481',
  inputs: [
--- a/packages/service/core/ai/functions/queryExtension.ts
+++ b/packages/service/core/ai/functions/queryExtension.ts
@@ -15,7 +15,7 @@ const defaultPrompt = `作为一个向量检索助手，你的任务是结合历
 """
 """
 原问题: 介绍下剧情。
-检索词: ["介绍下故事的背景和主要人物。","故事的主题是什么？","剧情是是如何发展的？"]
+检索词: ["介绍下故事的背景。","故事的主题是什么？","介绍下故事的主要人物。"]
 ----------------
 历史记录: 
 """
@@ -41,7 +41,7 @@ Q: 护产假多少天?
 A: 护产假的天数根据员工所在的城市而定。请提供您所在的城市，以便我回答您的问题。
 """
 原问题: 沈阳
-检索词: ["沈阳的护产假多少天？"]
+检索词: ["沈阳的护产假多少天？","沈阳的护产假政策。","沈阳的护产假标准。"]
 ----------------
 历史记录: 
 """
@@ -75,7 +75,7 @@ A: 1. 开源
   3. 扩展性强
 """
 原问题: 介绍下第2点。
-检索词: ["介绍下 FastGPT 简便的优势"]。
+检索词: ["介绍下 FastGPT 简便的优势", "从哪些方面，可以体现出 FastGPT 的简便"]。
 ----------------
 历史记录:
 """
--- a/packages/service/core/workflow/dispatch/agent/runTool/constants.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/constants.ts
@@ -1,7 +1,7 @@
 export const Prompt_Tool_Call = `<Instruction>
 你是一个智能机器人，除了可以回答用户问题外，你还掌握工具的使用能力。有时候，你可以依赖工具的运行结果，来更准确的回答用户。

-工具使用了 JSON Schema 的格式声明，其中 toolId 是工具的 description 是工具的描述，parameters 是工具的参数，包括参数的类型和描述，required 是必填参数的列表。
+工具使用了 JSON Schema 的格式声明，其中 toolId 是工具的唯一标识， description 是工具的描述，parameters 是工具的参数及参数表述，required 是必填参数的列表。

 请你根据工具描述，决定回答问题或是使用工具。在完成任务过程中，USER代表用户的输入，TOOL_RESPONSE代表工具运行结果，ANSWER 代表你的输出。
 你的每次输出都必须以0,1开头，代表是否需要调用工具：
@@ -13,19 +13,19 @@ export const Prompt_Tool_Call = `<Instruction>
 USER: 你好呀
 ANSWER: 0: 你好，有什么可以帮助你的么？
 USER: 现在几点了？
-ANSWER:  1: {"toolId":"timeToolId"}
+ANSWER:  1: {"toolId":"searchToolId1"}
 TOOL_RESPONSE: """
 2022/5/5 12:00 Thursday
 """
 ANSWER: 0: 现在是2022年5月5日，星期四，中午12点。
 USER: 今天杭州的天气如何？
-ANSWER: 1: {"toolId":"testToolId","arguments":{"city": "杭州"}}
+ANSWER: 1: {"toolId":"searchToolId2","arguments":{"city": "杭州"}}
 TOOL_RESPONSE: """
 晴天......
 """
 ANSWER: 0: 今天杭州是晴天。
 USER: 今天杭州的天气适合去哪里玩？
-ANSWER: 1: {"toolId":"testToolId2","arguments":{"query": "杭州 天气 去哪里玩"}}
+ANSWER: 1: {"toolId":"searchToolId3","arguments":{"query": "杭州 天气 去哪里玩"}}
 TOOL_RESPONSE: """
 晴天. 西湖、灵隐寺、千岛湖……
 """
--- a/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
@@ -385,7 +385,10 @@ async function streamResponse({
            });
          }
        }
+
+        continue;
      }
+
      /* arg 插入最后一个工具的参数里 */
      const arg: string = functionCall?.arguments || '';
      const currentTool = functionCalls[functionCalls.length - 1];
--- a/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
@@ -125,7 +125,6 @@ export const runToolWithPromptCall = async (
  })();

  const { answer: replaceAnswer, toolJson } = parseAnswer(answer);
-  // console.log(parseAnswer, '==11==');
  // No tools
  if (!toolJson) {
    if (replaceAnswer === ERROR_TEXT && stream && detail) {
--- a/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
@@ -354,7 +354,7 @@ async function streamResponse({
    }

    const responseChoice = part.choices?.[0]?.delta;
-    // console.log(JSON.stringify(responseChoice, null, 2));
+
    if (responseChoice?.content) {
      const content = responseChoice.content || '';
      textAnswer += content;
@@ -369,7 +369,7 @@ async function streamResponse({
    } else if (responseChoice?.tool_calls?.[0]) {
      const toolCall: ChatCompletionMessageToolCall = responseChoice.tool_calls[0];

-      // 流响应中,每次只会返回一个工具. 如果带了 id，说明是执行一个工具
+      // In a stream response, only one tool is returned at a time.  If have id, description is executing a tool
      if (toolCall.id) {
        const toolNode = toolNodes.find((item) => item.nodeId === toolCall.function?.name);

@@ -400,10 +400,14 @@ async function streamResponse({
            });
          }
        }
+
+        continue;
      }
+
      /* arg 插入最后一个工具的参数里 */
-      const arg: string = responseChoice.tool_calls?.[0]?.function?.arguments;
+      const arg: string = toolCall?.function?.arguments;
      const currentTool = toolCalls[toolCalls.length - 1];
+
      if (currentTool) {
        currentTool.function.arguments += arg;

--- a/packages/service/core/workflow/dispatch/index.ts
+++ b/packages/service/core/workflow/dispatch/index.ts
@@ -28,7 +28,7 @@ import { dispatchQueryExtension } from './tools/queryExternsion';
 import { dispatchRunPlugin } from './plugin/run';
 import { dispatchPluginInput } from './plugin/runInput';
 import { dispatchPluginOutput } from './plugin/runOutput';
-import { valueTypeFormat } from './utils';
+import { removeSystemVariable, valueTypeFormat } from './utils';
 import {
  filterWorkflowEdges,
  checkNodeRunStatus
@@ -419,18 +419,6 @@ export function getSystemVariable({
  };
 }

-/* remove system variable */
-const removeSystemVariable = (variables: Record<string, any>) => {
-  const copyVariables = { ...variables };
-  delete copyVariables.appId;
-  delete copyVariables.chatId;
-  delete copyVariables.responseChatItemId;
-  delete copyVariables.histories;
-  delete copyVariables.cTime;
-
-  return copyVariables;
-};
-
 /* Merge consecutive text messages into one */
 export const mergeAssistantResponseAnswerText = (response: AIChatItemValueItemType[]) => {
  const result: AIChatItemValueItemType[] = [];
--- a/packages/service/core/workflow/dispatch/tools/runUpdateVar.ts
+++ b/packages/service/core/workflow/dispatch/tools/runUpdateVar.ts
@@ -1,19 +1,22 @@
 import { NodeInputKeyEnum, VARIABLE_NODE_ID } from '@fastgpt/global/core/workflow/constants';
-import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
+import {
+  DispatchNodeResponseKeyEnum,
+  SseResponseEventEnum
+} from '@fastgpt/global/core/workflow/runtime/constants';
 import { DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/type';
 import { getReferenceVariableValue } from '@fastgpt/global/core/workflow/runtime/utils';
 import { TUpdateListItem } from '@fastgpt/global/core/workflow/template/system/variableUpdate/type';
 import { ModuleDispatchProps } from '@fastgpt/global/core/workflow/type';
-import { valueTypeFormat } from '../utils';
+import { removeSystemVariable, valueTypeFormat } from '../utils';
+import { responseWrite } from '../../../../common/response';

 type Props = ModuleDispatchProps<{
  [NodeInputKeyEnum.updateList]: TUpdateListItem[];
 }>;
+type Response = DispatchNodeResultType<{}>;

-export const dispatchUpdateVariable = async (
-  props: Props
-): Promise<DispatchNodeResultType<any>> => {
-  const { params, variables, runtimeNodes } = props;
+export const dispatchUpdateVariable = async (props: Props): Promise<Response> => {
+  const { res, detail, params, variables, runtimeNodes } = props;

  const { updateList } = params;
  updateList.forEach((item) => {
@@ -51,6 +54,14 @@ export const dispatchUpdateVariable = async (
    }
  });

+  if (detail) {
+    responseWrite({
+      res,
+      event: SseResponseEventEnum.updateVariables,
+      data: JSON.stringify(removeSystemVariable(variables))
+    });
+  }
+
  return {
    [DispatchNodeResponseKeyEnum.nodeResponse]: {
      totalPoints: 0
--- a/packages/service/core/workflow/dispatch/utils.ts
+++ b/packages/service/core/workflow/dispatch/utils.ts
@@ -79,3 +79,15 @@ export const valueTypeFormat = (value: any, type?: WorkflowIOValueTypeEnum) => {

  return value;
 };
+
+/* remove system variable */
+export const removeSystemVariable = (variables: Record<string, any>) => {
+  const copyVariables = { ...variables };
+  delete copyVariables.appId;
+  delete copyVariables.chatId;
+  delete copyVariables.responseChatItemId;
+  delete copyVariables.histories;
+  delete copyVariables.cTime;
+
+  return copyVariables;
+};
--- a/projects/app/data/config.json
+++ b/projects/app/data/config.json
@@ -108,7 +108,7 @@
    },
    {
      "model": "text-embedding-ada-002",
-      "name": "Embedding-2",
+      "name": "text-embedding-ada-002",
      "avatar": "/imgs/model/openai.svg",
      "charsPointsPrice": 0,
      "defaultToken": 512,
--- a/projects/app/src/components/ChatBox/index.tsx
+++ b/projects/app/src/components/ChatBox/index.tsx
@@ -59,6 +59,7 @@ import ChatItem from './components/ChatItem';
 import dynamic from 'next/dynamic';
 import { useCreation } from 'ahooks';
 import { AppChatConfigType } from '@fastgpt/global/core/app/type';
+import type { StreamResponseType } from '@/web/common/api/fetch';

 const ResponseTags = dynamic(() => import('./ResponseTags'));
 const FeedbackModal = dynamic(() => import('./FeedbackModal'));
@@ -90,12 +91,11 @@ type Props = OutLinkChatAuthProps & {
  chatId?: string;

  onUpdateVariable?: (e: Record<string, any>) => void;
-  onStartChat?: (e: StartChatFnProps) => Promise<{
-    responseText: string;
-    [DispatchNodeResponseKeyEnum.nodeResponse]: ChatHistoryItemResType[];
-    newVariables?: Record<string, any>;
+  onStartChat?: (e: StartChatFnProps) => Promise<
+    StreamResponseType & {
      isNewChat?: boolean;
-  }>;
+    }
+  >;
  onDelMessage?: (e: { contentId: string }) => void;
 };

@@ -207,7 +207,8 @@ const ChatBox = (
      status,
      name,
      tool,
-      autoTTSResponse
+      autoTTSResponse,
+      variables
    }: generatingMessageProps & { autoTTSResponse?: boolean }) => {
      setChatHistories((state) =>
        state.map((item, index) => {
@@ -290,6 +291,8 @@ const ChatBox = (
                return val;
              })
            };
+          } else if (event === SseResponseEventEnum.updateVariables && variables) {
+            setValue('variables', variables);
          }

          return item;
@@ -297,7 +300,7 @@ const ChatBox = (
      );
      generatingScroll();
    },
-    [generatingScroll, setChatHistories, splitText2Audio]
+    [generatingScroll, setChatHistories, setValue, splitText2Audio]
  );

  // 重置输入内容
@@ -466,7 +469,6 @@ const ChatBox = (
            const {
              responseData,
              responseText,
-              newVariables,
              isNewChat = false
            } = await onStartChat({
              chatList: newChatList,
@@ -476,8 +478,6 @@ const ChatBox = (
              variables: requestVariables
            });

-            newVariables && setValue('variables', newVariables);
-
            isNewChatReplace.current = isNewChat;

            // set finish status
@@ -561,7 +561,6 @@ const ChatBox = (
      resetInputVal,
      setAudioPlayingChatId,
      setChatHistories,
-      setValue,
      splitText2Audio,
      startSegmentedAudio,
      t,
@@ -696,7 +695,7 @@ const ChatBox = (
        } catch (error) {}
      };
    },
-    [appId, chatId, feedbackType, outLinkUid, shareId, teamId, teamToken]
+    [appId, chatId, feedbackType, outLinkUid, setChatHistories, shareId, teamId, teamToken]
  );
  const onCloseUserLike = useCallback(
    (chat: ChatSiteItemType) => {
--- a/projects/app/src/components/ChatBox/type.d.ts
+++ b/projects/app/src/components/ChatBox/type.d.ts
@@ -8,11 +8,12 @@ import {
 import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/constants';

 export type generatingMessageProps = {
-  event: `${SseResponseEventEnum}`;
+  event: SseResponseEventEnum;
  text?: string;
  name?: string;
  status?: 'running' | 'finish';
  tool?: ToolModuleResponseItemType;
+  variables?: Record<string, any>;
 };

 export type UserInputFileItemType = {
--- a/projects/app/src/components/core/workflow/Flow/ChatTest.tsx
+++ b/projects/app/src/components/core/workflow/Flow/ChatTest.tsx
@@ -62,7 +62,7 @@ const ChatTest = (
      const history = chatList.slice(-historyMaxLen - 2, -2);

      // 流请求，获取数据
-      const { responseText, responseData, newVariables } = await streamFetch({
+      const { responseText, responseData } = await streamFetch({
        url: '/api/core/chat/chatTest',
        data: {
          history,
@@ -78,7 +78,7 @@ const ChatTest = (
        abortCtrl: controller
      });

-      return { responseText, responseData, newVariables };
+      return { responseText, responseData };
    },
    [appDetail._id, appDetail.name, edges, nodes]
  );
--- a/projects/app/src/pages/api/core/chat/chatTest.ts
+++ b/projects/app/src/pages/api/core/chat/chatTest.ts
@@ -72,7 +72,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
    const { user } = await getUserChatInfoAndAuthTeamPoints(tmbId);

    /* start process */
-    const { flowResponses, flowUsages, newVariables } = await dispatchWorkFlow({
+    const { flowResponses, flowUsages } = await dispatchWorkFlow({
      res,
      mode: 'test',
      teamId,
@@ -99,11 +99,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
      event: SseResponseEventEnum.flowResponses,
      data: JSON.stringify(flowResponses)
    });
-    responseWrite({
-      res,
-      event: SseResponseEventEnum.updateVariables,
-      data: JSON.stringify(newVariables)
-    });
+
    res.end();

    pushChatUsage({
--- a/projects/app/src/pages/api/v1/chat/completions.ts
+++ b/projects/app/src/pages/api/v1/chat/completions.ts
@@ -292,11 +292,6 @@ async function handler(req: NextApiRequest, res: NextApiResponse) {
      });

      if (detail) {
-        responseWrite({
-          res,
-          event: SseResponseEventEnum.updateVariables,
-          data: JSON.stringify(newVariables)
-        });
        if (responseDetail) {
          responseWrite({
            res,
@@ -315,7 +310,7 @@ async function handler(req: NextApiRequest, res: NextApiResponse) {
        return assistantResponses;
      })();
      res.json({
-        ...(detail ? { responseData: feResponseData } : {}),
+        ...(detail ? { responseData: feResponseData, newVariables } : {}),
        id: chatId || '',
        model: '',
        usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 1 },
--- a/projects/app/src/pages/chat/index.tsx
+++ b/projects/app/src/pages/chat/index.tsx
@@ -74,7 +74,7 @@ const Chat = ({ appId, chatId }: { appId: string; chatId: string }) => {
      const prompts = messages.slice(-2);
      const completionChatId = chatId ? chatId : nanoid();

-      const { responseText, responseData, newVariables } = await streamFetch({
+      const { responseText, responseData } = await streamFetch({
        data: {
          messages: prompts,
          variables,
@@ -123,7 +123,7 @@ const Chat = ({ appId, chatId }: { appId: string; chatId: string }) => {
        history: ChatBoxRef.current?.getChatHistories() || state.history
      }));

-      return { responseText, responseData, isNewChat: forbidRefresh.current, newVariables };
+      return { responseText, responseData, isNewChat: forbidRefresh.current };
    },
    [appId, chatId, histories, pushHistory, router, setChatData, updateHistory]
  );
--- a/projects/app/src/pages/chat/share.tsx
+++ b/projects/app/src/pages/chat/share.tsx
@@ -95,7 +95,7 @@ const OutLink = ({
        '*'
      );

-      const { responseText, responseData, newVariables } = await streamFetch({
+      const { responseText, responseData } = await streamFetch({
        data: {
          messages: prompts,
          variables: {
@@ -169,7 +169,7 @@ const OutLink = ({
        '*'
      );

-      return { responseText, responseData, isNewChat: forbidRefresh.current, newVariables };
+      return { responseText, responseData, isNewChat: forbidRefresh.current };
    },
    [
      chatId,
--- a/projects/app/src/pages/chat/team.tsx
+++ b/projects/app/src/pages/chat/team.tsx
@@ -21,10 +21,7 @@ import ChatHistorySlider from './components/ChatHistorySlider';
 import ChatHeader from './components/ChatHeader';
 import { serviceSideProps } from '@/web/common/utils/i18n';
 import { useTranslation } from 'next-i18next';
-import {
-  checkChatSupportSelectFileByChatModels,
-  getAppQuestionGuidesByUserGuideModule
-} from '@/web/core/chat/utils';
+import { checkChatSupportSelectFileByChatModels } from '@/web/core/chat/utils';
 import { useChatStore } from '@/web/core/chat/storeChat';
 import { customAlphabet } from 'nanoid';
 const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 12);
@@ -38,8 +35,6 @@ import { getErrText } from '@fastgpt/global/common/error/utils';
 import MyBox from '@fastgpt/web/components/common/MyBox';
 import SliderApps from './components/SliderApps';
 import { GPTMessages2Chats } from '@fastgpt/global/core/chat/adapt';
-import { StoreNodeItemType } from '@fastgpt/global/core/workflow/type';
-import { getAppQGuideCustomURL } from '@/web/core/app/utils';

 const OutLink = () => {
  const { t } = useTranslation();
@@ -84,7 +79,7 @@ const OutLink = () => {
      const prompts = messages.slice(-2);
      const completionChatId = chatId ? chatId : nanoid();

-      const { responseText, responseData, newVariables } = await streamFetch({
+      const { responseText, responseData } = await streamFetch({
        data: {
          messages: prompts,
          variables: {
@@ -140,9 +135,20 @@ const OutLink = () => {
        history: ChatBoxRef.current?.getChatHistories() || state.history
      }));

-      return { responseText, responseData, isNewChat: forbidRefresh.current, newVariables };
+      return { responseText, responseData, isNewChat: forbidRefresh.current };
    },
-    [appId, teamToken, chatId, histories, pushHistory, router, setChatData, teamId, updateHistory]
+    [
+      chatId,
+      customVariables,
+      appId,
+      teamId,
+      teamToken,
+      setChatData,
+      pushHistory,
+      router,
+      histories,
+      updateHistory
+    ]
  );

  /* replace router query to last chat */
--- a/projects/app/src/web/common/api/fetch.ts
+++ b/projects/app/src/web/common/api/fetch.ts
@@ -18,10 +18,9 @@ type StreamFetchProps = {
  onMessage: StartChatFnProps['generatingMessage'];
  abortCtrl: AbortController;
 };
-type StreamResponseType = {
+export type StreamResponseType = {
  responseText: string;
  [DispatchNodeResponseKeyEnum.nodeResponse]: ChatHistoryItemResType[];
-  newVariables: Record<string, any>;
 };
 class FatalError extends Error {}

@@ -50,7 +49,6 @@ export const streamFetch = ({
    )[] = [];
    let errMsg: string | undefined;
    let responseData: ChatHistoryItemResType[] = [];
-    let newVariables: Record<string, any> = {};
    let finished = false;

    const finish = () => {
@@ -58,7 +56,6 @@ export const streamFetch = ({
        return failedFinish();
      }
      return resolve({
-        newVariables,
        responseText,
        responseData
      });
@@ -71,7 +68,7 @@ export const streamFetch = ({
      });
    };

-    const isAnswerEvent = (event: `${SseResponseEventEnum}`) =>
+    const isAnswerEvent = (event: SseResponseEventEnum) =>
      event === SseResponseEventEnum.answer || event === SseResponseEventEnum.fastAnswer;
    // animate response to make it looks smooth
    function animateResponseText() {
@@ -200,7 +197,10 @@ export const streamFetch = ({
          } else if (event === SseResponseEventEnum.flowResponses && Array.isArray(parseJson)) {
            responseData = parseJson;
          } else if (event === SseResponseEventEnum.updateVariables) {
-            newVariables = parseJson;
+            onMessage({
+              event,
+              variables: parseJson
+            });
          } else if (event === SseResponseEventEnum.error) {
            if (parseJson.statusText === TeamErrEnum.aiPointsNotEnough) {
              useSystemStore.getState().setIsNotSufficientModal(true);