lock (#2063)

* lock

* perf: init data

* perf: vision model url

* fix: chat index

docSite/content/zh-cn/docs/development/upgrading/487.md

@@ -24,4 +24,6 @@ weight: 817
 2. 新增 - 应用搜索
 3. 优化 - 对话框代码
 4. 优化 - 升级 Dockerfile node 和 pnpm 版本
-5. 修复 - 简易模式无法变更全局变量
+5. 优化 - local 域名部署，也可以正常使用 vision 模式
+6. 修复 - 简易模式无法变更全局变量
+7. 修复 - gpt4o 无法同时使用工具和图片

packages/global/common/system/types/index.d.ts

@@ -70,9 +70,3 @@ export type SystemEnvType = {
   oneapiUrl?: string;
   chatApiKey?: string;
 };
-
-// declare global {
-//   var feConfigs: FastGPTFeConfigsType;
-//   var systemEnv: SystemEnvType;
-//   var systemInitd: boolean;
-// }

packages/global/core/chat/constants.ts

@@ -56,7 +56,4 @@ export enum ChatStatusEnum {
   finish = 'finish'
 }
 
-export const IMG_BLOCK_KEY = 'img-block';
-export const FILE_BLOCK_KEY = 'file-block';
-
 export const MARKDOWN_QUOTE_SIGN = 'QUOTE SIGN';

packages/global/package.json

@@ -10,7 +10,7 @@
     "js-yaml": "^4.1.0",
     "jschardet": "3.1.1",
     "nanoid": "^4.0.1",
-    "next": "14.2.3",
+    "next": "14.2.5",
     "openai": "4.28.0",
     "openapi-types": "^12.1.3",
     "timezones-list": "^3.0.2"

packages/service/common/api/serverRequest.ts

@@ -63,6 +63,7 @@ const instance = axios.create({
     'Cache-Control': 'no-cache'
   }
 });
+export const serverRequestBaseUrl = `http://${SERVICE_LOCAL_HOST}`;
 
 /* 请求拦截 */
 instance.interceptors.request.use(requestStart, (err) => Promise.reject(err));
@@ -79,7 +80,7 @@ export function request(url: string, data: any, config: ConfigType, method: Meth
 
   return instance
     .request({
-      baseURL: `http://${SERVICE_LOCAL_HOST}`,
+      baseURL: serverRequestBaseUrl,
       url,
       method,
       data: ['POST', 'PUT'].includes(method) ? data : null,

packages/service/common/mongo/index.ts

@@ -64,10 +64,13 @@ export const getMongoModel = <T>(name: string, schema: mongoose.Schema) => {
   addCommonMiddleware(schema);
 
   const model = connectionMongo.model<T>(name, schema);
-  try {
-    model.syncIndexes();
-  } catch (error) {
-    addLog.error('Create index error', error);
+
+  if (process.env.SYNC_INDEX !== '0') {
+    try {
+      model.syncIndexes({ background: true });
+    } catch (error) {
+      addLog.error('Create index error', error);
+    }
   }
 
   return model;

packages/service/common/mongo/init.ts

@@ -1,3 +1,4 @@
+import { exit } from 'process';
 import { addLog } from '../system/log';
 import { connectionMongo } from './index';
 import type { Mongoose } from 'mongoose';
@@ -56,9 +57,13 @@ export async function connectMongo({
   }
 
   try {
-    afterHook && (await afterHook());
+    if (!global.systemInited) {
+      global.systemInited = true;
+      afterHook && (await afterHook());
+    }
   } catch (error) {
-    addLog.error('mongo connect after hook error', error);
+    addLog.error('Mongo connect after hook error', error);
+    exit(1);
   }
 
   return connectionMongo;

packages/service/core/chat/chatItemSchema.ts

@@ -89,7 +89,7 @@ try {
      get chat logs; 
      close custom feedback; 
   */
-  ChatItemSchema.index({ appId: 1, chatId: 1, dataId: 1 }, { background: true, unique: true });
+  ChatItemSchema.index({ appId: 1, chatId: 1, dataId: 1 }, { background: true });
   // admin charts
   ChatItemSchema.index({ time: -1, obj: 1 }, { background: true });
   // timer, clear history

packages/service/core/chat/chatSchema.ts

@@ -85,7 +85,7 @@ try {
   // get user history
   ChatSchema.index({ tmbId: 1, appId: 1, top: -1, updateTime: -1 }, { background: true });
   // delete by appid; clear history; init chat; update chat; auth chat; get chat;
-  ChatSchema.index({ appId: 1, chatId: 1 }, { background: true, unique: true });
+  ChatSchema.index({ appId: 1, chatId: 1 }, { background: true });
 
   // get chat logs;
   ChatSchema.index({ teamId: 1, appId: 1, updateTime: -1 }, { background: true });

packages/service/core/chat/utils.ts

@@ -1,4 +1,3 @@
-import { IMG_BLOCK_KEY } from '@fastgpt/global/core/chat/constants';
 import { countGptMessagesTokens } from '../../common/string/tiktoken/index';
 import type {
   ChatCompletionContentPart,
@@ -7,6 +6,8 @@ import type {
 import axios from 'axios';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import { guessBase64ImageType } from '../../common/file/utils';
+import { serverRequestBaseUrl } from '../../common/api/serverRequest';
+import { cloneDeep } from 'lodash';
 
 /* slice chat context by tokens */
 const filterEmptyMessages = (messages: ChatCompletionMessageParam[]) => {
@@ -120,137 +121,64 @@ export const formatGPTMessagesInRequestBefore = (messages: ChatCompletionMessage
     .filter(Boolean) as ChatCompletionMessageParam[];
 };
 
-/**
-    string to vision model. Follow the markdown code block rule for interception:
-
-    @rule:
-    ```img-block
-        {src:""}
-        {src:""}
-    ```
-    ```file-block
-        {name:"",src:""},
-        {name:"",src:""}
-    ```
-    @example:
-        What’s in this image?
-        ```img-block
-            {src:"https://1.png"}
-        ```
-    @return 
-        [
-            { type: 'text', text: 'What’s in this image?' },
-            {
-              type: 'image_url',
-              image_url: {
-                url: 'https://1.png'
-              }
-            }
-        ]
- */
-export async function formatStr2ChatContent(str: string) {
-  const content: ChatCompletionContentPart[] = [];
-  let lastIndex = 0;
-  const regex = new RegExp(`\`\`\`(${IMG_BLOCK_KEY})\\n([\\s\\S]*?)\`\`\``, 'g');
-
-  const imgKey: 'image_url' = 'image_url';
-
-  let match;
-
-  while ((match = regex.exec(str)) !== null) {
-    // add previous text
-    if (match.index > lastIndex) {
-      const text = str.substring(lastIndex, match.index).trim();
-      if (text) {
-        content.push({ type: 'text', text });
-      }
-    }
-
-    const blockType = match[1].trim();
-
-    if (blockType === IMG_BLOCK_KEY) {
-      const blockContentLines = match[2].trim().split('\n');
-      const jsonLines = blockContentLines.map((item) => {
-        try {
-          return JSON.parse(item) as { src: string };
-        } catch (error) {
-          return { src: '' };
-        }
-      });
-
-      for (const item of jsonLines) {
-        if (!item.src) throw new Error("image block's content error");
-      }
-
-      content.push(
-        ...jsonLines.map((item) => ({
-          type: imgKey,
-          image_url: {
-            url: item.src
-          }
-        }))
-      );
-    }
-
-    lastIndex = regex.lastIndex;
-  }
-
-  // add remaining text
-  if (lastIndex < str.length) {
-    const remainingText = str.substring(lastIndex).trim();
-    if (remainingText) {
-      content.push({ type: 'text', text: remainingText });
-    }
-  }
-
-  // Continuous text type content, if type=text, merge them
-  for (let i = 0; i < content.length - 1; i++) {
-    const currentContent = content[i];
-    const nextContent = content[i + 1];
-    if (currentContent.type === 'text' && nextContent.type === 'text') {
-      currentContent.text += nextContent.text;
-      content.splice(i + 1, 1);
-      i--;
-    }
-  }
-
-  if (content.length === 1 && content[0].type === 'text') {
-    return content[0].text;
-  }
-
-  if (!content) return null;
-  // load img to base64
-  for await (const item of content) {
-    if (item.type === imgKey && item[imgKey]?.url) {
-      const response = await axios.get(item[imgKey].url, {
-        responseType: 'arraybuffer'
-      });
-      const base64 = Buffer.from(response.data).toString('base64');
-      item[imgKey].url = `data:${response.headers['content-type']};base64,${base64}`;
-    }
-  }
-
-  return content ? content : null;
-}
-
+/* Load user chat content.
+  Img: to base 64
+*/
 export const loadChatImgToBase64 = async (content: string | ChatCompletionContentPart[]) => {
   if (typeof content === 'string') {
     return content;
   }
+
   return Promise.all(
     content.map(async (item) => {
       if (item.type === 'text') return item;
-      // load image
-      const response = await axios.get(item.image_url.url, {
-        responseType: 'arraybuffer'
-      });
-      const base64 = Buffer.from(response.data).toString('base64');
-      let imageType = response.headers['content-type'];
-      if (imageType === undefined) {
-        imageType = guessBase64ImageType(base64);
+
+      if (!item.image_url.url) return item;
+
+      /* 
+        1. From db: Get it from db
+        2. From web: Not update
+      */
+      if (item.image_url.url.startsWith('/')) {
+        const response = await axios.get(item.image_url.url, {
+          baseURL: serverRequestBaseUrl,
+          responseType: 'arraybuffer'
+        });
+        const base64 = Buffer.from(response.data).toString('base64');
+        let imageType = response.headers['content-type'];
+        if (imageType === undefined) {
+          imageType = guessBase64ImageType(base64);
+        }
+        return {
+          ...item,
+          image_url: {
+            ...item.image_url,
+            url: `data:${imageType};base64,${base64}`
+          }
+        };
       }
-      item.image_url.url = `data:${imageType};base64,${base64}`;
+
       return item;
     })
   );
 };
+export const loadRequestMessages = async (messages: ChatCompletionMessageParam[]) => {
+  if (messages.length === 0) {
+    return Promise.reject('core.chat.error.Messages empty');
+  }
+
+  const loadMessages = await Promise.all(
+    messages.map(async (item) => {
+      if (item.role === ChatCompletionRequestMessageRoleEnum.User) {
+        return {
+          ...item,
+          content: await loadChatImgToBase64(item.content)
+        };
+      } else {
+        return item;
+      }
+    })
+  );
+
+  return loadMessages;
+};

packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts

@@ -1,6 +1,6 @@
 import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { getAIApi } from '../../../../ai/config';
-import { filterGPTMessageByMaxTokens } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
   ChatCompletion,
   StreamChatType,
@@ -88,6 +88,7 @@ export const runToolWithFunctionCall = async (
     }
     return item;
   });
+  const requestMessages = await loadRequestMessages(formativeMessages);
 
   /* Run llm */
   const ai = getAIApi({
@@ -99,7 +100,7 @@ export const runToolWithFunctionCall = async (
       model: toolModel.model,
       temperature: 0,
       stream,
-      messages: formativeMessages,
+      messages: requestMessages,
       functions,
       function_call: 'auto'
     },

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

@@ -12,6 +12,7 @@ import { ChatItemType } from '@fastgpt/global/core/chat/type';
 import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import {
   GPTMessages2Chats,
+  chatValue2RuntimePrompt,
   chats2GPTMessages,
   getSystemPrompt,
   runtimePrompt2ChatsValue
@@ -29,10 +30,11 @@ type Response = DispatchNodeResultType<{
 
 export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<Response> => {
   const {
-    node: { nodeId, name, outputs },
+    node: { nodeId, name },
     runtimeNodes,
     runtimeEdges,
     histories,
+    query,
     params: { model, systemPrompt, userChatInput, history = 6 }
   } = props;
 
@@ -65,7 +67,7 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
       obj: ChatRoleEnum.Human,
       value: runtimePrompt2ChatsValue({
         text: userChatInput,
-        files: []
+        files: chatValue2RuntimePrompt(query).files
       })
     }
   ];

packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts

@@ -1,6 +1,6 @@
 import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { getAIApi } from '../../../../ai/config';
-import { filterGPTMessageByMaxTokens } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
   ChatCompletion,
   StreamChatType,
@@ -87,6 +87,8 @@ export const runToolWithPromptCall = async (
     messages,
     maxTokens: toolModel.maxContext - 500 // filter token. not response maxToken
   });
+  const requestMessages = await loadRequestMessages(filterMessages);
+
   // console.log(JSON.stringify(filterMessages, null, 2));
   /* Run llm */
   const ai = getAIApi({
@@ -98,7 +100,7 @@ export const runToolWithPromptCall = async (
       model: toolModel.model,
       temperature: 0,
       stream,
-      messages: filterMessages
+      messages: requestMessages
     },
     {
       headers: {

packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts

@@ -1,6 +1,6 @@
 import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { getAIApi } from '../../../../ai/config';
-import { filterGPTMessageByMaxTokens } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
   ChatCompletion,
   ChatCompletionMessageToolCall,
@@ -99,6 +99,8 @@ export const runToolWithToolChoice = async (
     }
     return item;
   });
+  const requestMessages = await loadRequestMessages(formativeMessages);
+
   // console.log(
   //   JSON.stringify(
   //     {
@@ -106,7 +108,7 @@ export const runToolWithToolChoice = async (
   //       model: toolModel.model,
   //       temperature: 0,
   //       stream,
-  //       messages: formativeMessages,
+  //       messages: requestMessages,
   //       tools,
   //       tool_choice: 'auto'
   //     },
@@ -124,7 +126,7 @@ export const runToolWithToolChoice = async (
       model: toolModel.model,
       temperature: 0,
       stream,
-      messages: formativeMessages,
+      messages: requestMessages,
       tools,
       tool_choice: 'auto'
     },

packages/service/core/workflow/dispatch/chat/oneapi.ts

@@ -2,7 +2,7 @@ import type { NextApiResponse } from 'next';
 import {
   filterGPTMessageByMaxTokens,
   formatGPTMessagesInRequestBefore,
-  loadChatImgToBase64
+  loadRequestMessages
 } from '../../../chat/utils';
 import type { ChatItemType, UserChatItemValueItemType } from '@fastgpt/global/core/chat/type.d';
 import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
@@ -151,22 +151,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
     ...formatGPTMessagesInRequestBefore(filterMessages)
   ] as ChatCompletionMessageParam[];
 
-  if (concatMessages.length === 0) {
-    return Promise.reject('core.chat.error.Messages empty');
-  }
-
-  const loadMessages = await Promise.all(
-    concatMessages.map(async (item) => {
-      if (item.role === ChatCompletionRequestMessageRoleEnum.User) {
-        return {
-          ...item,
-          content: await loadChatImgToBase64(item.content)
-        };
-      } else {
-        return item;
-      }
-    })
-  );
+  const requestMessages = await loadRequestMessages(concatMessages);
 
   const requestBody = {
     ...modelConstantsData?.defaultConfig,
@@ -174,7 +159,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
     temperature,
     max_tokens,
     stream,
-    messages: loadMessages
+    messages: requestMessages
   };
   const response = await ai.chat.completions.create(requestBody, {
     headers: {

packages/service/package.json

@@ -25,7 +25,7 @@
     "mammoth": "^1.6.0",
     "mongoose": "^7.0.2",
     "multer": "1.4.5-lts.1",
-    "next": "14.2.3",
+    "next": "14.2.5",
     "nextjs-cors": "^2.2.0",
     "node-cron": "^3.0.3",
     "node-xlsx": "^0.23.0",

packages/web/components/common/MyPopover/PopoverConfirm.tsx

@@ -1,5 +1,4 @@
 import React, { useMemo } from 'react';
-import MyPopover from './index';
 import { useTranslation } from 'next-i18next';
 import MyIcon from '../Icon';
 import { useRequest2 } from '../../../hooks/useRequest';

projects/app/package.json

@@ -41,7 +41,7 @@
     "lodash": "^4.17.21",
     "mermaid": "^10.2.3",
     "nanoid": "^4.0.1",
-    "next": "14.2.3",
+    "next": "14.2.5",
     "json5": "^2.2.3",
     "nextjs-node-loader": "^1.1.5",
     "nprogress": "^0.2.0",
@@ -71,7 +71,7 @@
     "@types/js-yaml": "^4.0.9",
     "@types/jsonwebtoken": "^9.0.3",
     "@types/lodash": "^4.14.191",
-    "@types/node": "20.14.0",
+    "@types/node": "^20.14.2",
     "@types/react": "18.3.1",
     "@types/react-dom": "18.3.0",
     "@types/react-syntax-highlighter": "^15.5.6",

projects/app/src/components/core/chat/ChatContainer/ChatBox/Input/ChatInput.tsx

@@ -86,7 +86,7 @@ const ChatInput = ({
           });
           updateFile(fileIndex, {
             ...file,
-            url: `${location.origin}${url}`
+            url
           });
         } catch (error) {
           removeFile(fileIndex);

projects/app/src/pages/api/common/system/getInitData.ts

@@ -6,16 +6,15 @@ import type { InitDateResponse } from '@/global/common/api/systemRes';
 import type { FastGPTConfigFileType } from '@fastgpt/global/common/system/types/index.d';
 import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
 import { getFastGPTConfigFromDB } from '@fastgpt/service/common/system/config/controller';
-import { connectToDatabase } from '@/service/mongo';
 import { PluginTemplateType } from '@fastgpt/global/core/plugin/type';
 import { readConfigData } from '@/service/common/system';
-import { exit } from 'process';
 import { FastGPTProUrl } from '@fastgpt/service/common/system/constants';
 import { initFastGPTConfig } from '@fastgpt/service/common/system/tools';
 import json5 from 'json5';
 import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
+import { connectToDatabase } from '@/service/mongo';
 
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+async function handler(req: NextApiRequest, res: NextApiResponse) {
   await getInitConfig();
 
   jsonRes<InitDateResponse>(res, {
@@ -37,6 +36,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
   });
 }
 
+export default handler;
+
 const defaultFeConfigs: FastGPTFeConfigsType = {
   show_emptyChat: true,
   show_git: true,
@@ -55,29 +56,18 @@ const defaultFeConfigs: FastGPTFeConfigsType = {
 };
 
 export async function getInitConfig() {
-  if (global.systemInitd) return;
-  global.systemInitd = true;
-
-  try {
+  // First request
+  if (!global.systemInited) {
     await connectToDatabase();
-
-    await Promise.all([
-      initSystemConfig(),
-      // getSimpleModeTemplates(),
-      getSystemVersion(),
-      getSystemPlugin(),
-
-      // abandon
-      getSystemPluginV1()
-    ]);
-  } catch (error) {
-    console.error('Load init config error', error);
-    global.systemInitd = false;
-
-    if (!global.feConfigs) {
-      exit(1);
-    }
   }
+  return Promise.all([
+    initSystemConfig(),
+    getSystemVersion(),
+    getSystemPlugin(),
+
+    // abandon
+    getSystemPluginV1()
+  ]);
 }
 
 export async function initSystemConfig() {

projects/app/src/pages/api/core/dataset/update.ts

@@ -33,8 +33,6 @@ async function handler(req: NextApiRequest) {
     await authDataset({ req, authToken: true, datasetId: id, per: WritePermissionVal });
   }
 
-  console.log('update dataset', req.body);
-
   await MongoDataset.findOneAndUpdate(
     {
       _id: id

projects/app/src/service/common/api/request.ts

@@ -1,114 +0,0 @@
-import { SERVICE_LOCAL_HOST } from '@fastgpt/service/common/system/tools';
-import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
-
-interface ConfigType {
-  headers?: { [key: string]: string };
-  hold?: boolean;
-  timeout?: number;
-}
-interface ResponseDataType {
-  code: number;
-  message: string;
-  data: any;
-}
-
-/**
- * 请求开始
- */
-function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
-  return config;
-}
-
-/**
- * 请求成功,检查请求头
- */
-function responseSuccess(response: AxiosResponse<ResponseDataType>) {
-  return response;
-}
-/**
- * 响应数据检查
- */
-function checkRes(data: ResponseDataType) {
-  if (data === undefined) {
-    console.log('error->', data, 'data is empty');
-    return Promise.reject('服务器异常');
-  } else if (data?.code && (data.code < 200 || data.code >= 400)) {
-    return Promise.reject(data);
-  }
-  return data.data;
-}
-
-/**
- * 响应错误
- */
-function responseError(err: any) {
-  if (!err) {
-    return Promise.reject({ message: '未知错误' });
-  }
-  if (typeof err === 'string') {
-    return Promise.reject({ message: err });
-  }
-
-  if (err?.response?.data) {
-    return Promise.reject(err?.response?.data);
-  }
-  return Promise.reject(err);
-}
-
-/* 创建请求实例 */
-const instance = axios.create({
-  timeout: 60000, // 超时时间
-  headers: {
-    'content-type': 'application/json',
-    'Cache-Control': 'no-cache'
-  }
-});
-
-/* 请求拦截 */
-instance.interceptors.request.use(requestStart, (err) => Promise.reject(err));
-/* 响应拦截 */
-instance.interceptors.response.use(responseSuccess, (err) => Promise.reject(err));
-
-export function request(url: string, data: any, config: ConfigType, method: Method): any {
-  /* 去空 */
-  for (const key in data) {
-    if (data[key] === null || data[key] === undefined) {
-      delete data[key];
-    }
-  }
-
-  return instance
-    .request({
-      baseURL: `http://${SERVICE_LOCAL_HOST}`,
-      url,
-      method,
-      data: ['POST', 'PUT'].includes(method) ? data : null,
-      params: !['POST', 'PUT'].includes(method) ? data : null,
-      ...config // custom config
-    })
-    .then((res) => checkRes(res.data))
-    .catch((err) => responseError(err));
-}
-
-/**
- * api请求方式
- * @param {String} url
- * @param {Any} params
- * @param {Object} config
- * @returns
- */
-export function GET<T = undefined>(url: string, params = {}, config: ConfigType = {}): Promise<T> {
-  return request(url, params, config, 'GET');
-}
-
-export function POST<T = undefined>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
-  return request(url, data, config, 'POST');
-}
-
-export function PUT<T = undefined>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
-  return request(url, data, config, 'PUT');
-}
-
-export function DELETE<T = undefined>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
-  return request(url, data, config, 'DELETE');
-}

projects/app/src/service/mongo.ts

@@ -22,10 +22,6 @@ export function connectToDatabase() {
       initGlobal();
     },
     afterHook: async () => {
-      if (global.systemInitd) return;
-
-      global.systemInitd = true;
-
       systemStartCb();
 
       //init system config；init vector database；init root user

projects/app/src/types/index.d.ts

@@ -20,8 +20,6 @@ export type PagingData<T> = {
 export type RequestPaging = { pageNum: number; pageSize: number; [key]: any };
 
 declare global {
-  var systemInitd: boolean;
-
   var qaQueueLen: number;
   var vectorQueueLen: number;
 

projects/sandbox/package.json

@@ -35,7 +35,7 @@
     "@nestjs/schematics": "^10.0.0",
     "@nestjs/testing": "^10.0.0",
     "@types/jest": "^29.5.2",
-    "@types/node": "20.14.0",
+    "@types/node": "^20.14.2",
     "@types/supertest": "^6.0.0",
     "@typescript-eslint/eslint-plugin": "^6.0.0",
     "@typescript-eslint/parser": "^6.0.0",