System optimize (#303)

client/next.config.js

@@ -17,10 +17,6 @@ const nextConfig = {
         }
       };
     }
-    config.experiments = {
-      asyncWebAssembly: true,
-      layers: true
-    };
     config.module = {
       ...config.module,
       rules: config.module.rules.concat([

client/package.json

@@ -12,7 +12,6 @@
     "@chakra-ui/icons": "^2.0.17",
     "@chakra-ui/react": "^2.7.0",
     "@chakra-ui/system": "^2.5.8",
-    "@dqbd/tiktoken": "^1.0.7",
     "@emotion/react": "^11.10.6",
     "@emotion/styled": "^11.10.6",
     "@mozilla/readability": "^0.4.4",
@@ -32,6 +31,7 @@
     "i18next": "^22.5.1",
     "immer": "^9.0.19",
     "js-cookie": "^3.0.5",
+    "js-tiktoken": "^1.0.7",
     "jschardet": "^3.0.0",
     "jsdom": "^22.1.0",
     "jsonwebtoken": "^9.0.0",

client/pnpm-lock.yaml

@@ -10,9 +10,6 @@ dependencies:
   '@chakra-ui/system':
     specifier: ^2.5.8
     version: registry.npmmirror.com/@chakra-ui/system@2.5.8(@emotion/react@11.10.6)(@emotion/styled@11.10.6)(react@18.2.0)
-  '@dqbd/tiktoken':
-    specifier: ^1.0.7
-    version: registry.npmmirror.com/@dqbd/tiktoken@1.0.7
   '@emotion/react':
     specifier: ^11.10.6
     version: registry.npmmirror.com/@emotion/react@11.10.6(@types/react@18.0.28)(react@18.2.0)
@@ -70,6 +67,9 @@ dependencies:
   js-cookie:
     specifier: ^3.0.5
     version: registry.npmmirror.com/js-cookie@3.0.5
+  js-tiktoken:
+    specifier: ^1.0.7
+    version: registry.npmmirror.com/js-tiktoken@1.0.7
   jschardet:
     specifier: ^3.0.0
     version: registry.npmmirror.com/jschardet@3.0.0
@@ -4214,12 +4214,6 @@ packages:
       kuler: registry.npmmirror.com/kuler@2.0.0
     dev: false
 
-  registry.npmmirror.com/@dqbd/tiktoken@1.0.7:
-    resolution: {integrity: sha512-bhR5k5W+8GLzysjk8zTMVygQZsgvf7W1F0IlL4ZQ5ugjo5rCyiwGM5d8DYriXspytfu98tv59niang3/T+FoDw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@dqbd/tiktoken/-/tiktoken-1.0.7.tgz}
-    name: '@dqbd/tiktoken'
-    version: 1.0.7
-    dev: false
-
   registry.npmmirror.com/@emotion/babel-plugin@11.11.0:
     resolution: {integrity: sha512-m4HEDZleaaCH+XgDDsPF15Ht6wTLsgDTeR3WYj9Q/k76JtWhrJjcP4+/XlG8LGT/Rol9qUfOIztXeA84ATpqPQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@emotion/babel-plugin/-/babel-plugin-11.11.0.tgz}
     name: '@emotion/babel-plugin'
@@ -8955,6 +8949,14 @@ packages:
     version: 4.4.1
     dev: true
 
+  registry.npmmirror.com/js-tiktoken@1.0.7:
+    resolution: {integrity: sha512-biba8u/clw7iesNEWLOLwrNGoBP2lA+hTaBLs/D45pJdUPFXyxD6nhcDVtADChghv4GgyAiMKYMiRx7x6h7Biw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/js-tiktoken/-/js-tiktoken-1.0.7.tgz}
+    name: js-tiktoken
+    version: 1.0.7
+    dependencies:
+      base64-js: registry.npmmirror.com/base64-js@1.5.1
+    dev: false
+
   registry.npmmirror.com/js-tokens@4.0.0:
     resolution: {integrity: sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/js-tokens/-/js-tokens-4.0.0.tgz}
     name: js-tokens

client/public/icon/fill/app.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683254592786" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1352" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M450.09164971 42.7357605a123.86965959 123.86965959 0 0 1 123.76374272 0L889.06369251 222.84722403a123.92261859 123.92261859 0 0 1 62.06722618 107.2407279v360.38180181c0 44.22025102-23.6194395 85.05116445-61.9613093 107.13480989l-0.10591688 0.10591687-315.20830008 180.11146353a123.86965959 123.86965959 0 0 1-123.76374272 0L134.93630749 797.7104805a123.92261859 123.92261859 0 0 1-62.06722618-107.24072676V330.08795193c0-44.22025102 23.67239737-85.05116445 61.9613093-107.13481102l0.10591688-0.10591688z m462.16781482 223.59029646a33.78744889 33.78744889 0 0 0-46.17971029-12.28634453l-353.81496263 204.57823687L158.44982898 254.09267029a33.78744889 33.78744889 0 0 0-33.89336463 58.46605597l353.6031289 204.47232v430.02207687c0 18.00585102 15.14609778 32.62236445 33.84040675 32.62236444a33.20490667 33.20490667 0 0 0 33.73449102-32.62236444V517.29583787l354.18567111-204.79006948a33.78744889 33.78744889 0 0 0 14.66947129-41.20162304z" p-id="1353"></path></svg>

client/src/components/ChatBox/index.tsx

@@ -26,8 +26,7 @@ import {
 import { Box, Card, Flex, Input, Textarea, Button, useTheme, BoxProps } from '@chakra-ui/react';
 import { feConfigs } from '@/store/static';
 import { event } from '@/utils/plugin/eventbus';
-
+import { adaptChat2GptMessages } from '@/utils/common/adapt/message';
-import { adaptChatItem_openAI } from '@/utils/plugin/openai';
 import { useMarkdown } from '@/hooks/useMarkdown';
 import { VariableItemType } from '@/types/app';
 import { VariableInputEnum } from '@/constants/app';
@@ -344,7 +343,7 @@ const ChatBox = (
         const abortSignal = new AbortController();
         controller.current = abortSignal;
 
-        const messages = adaptChatItem_openAI({ messages: newChatList, reserveId: true });
+        const messages = adaptChat2GptMessages({ messages: newChatList, reserveId: true });
 
         const { responseData } = await onStartChat({
           chatList: newChatList,

client/src/components/Icon/index.tsx

@@ -1,102 +1,109 @@
-import React from 'react';
+import React, { useEffect, useState } from 'react';
 import type { IconProps } from '@chakra-ui/react';
 import { Icon } from '@chakra-ui/react';
 
-const map = {
+const iconPaths = {
-  appFill: require('./icons/fill/app.svg').default,
+  appFill: () => import('./icons/fill/app.svg'),
-  appLight: require('./icons/light/app.svg').default,
+  appLight: () => import('./icons/light/app.svg'),
-  copy: require('./icons/copy.svg').default,
+  copy: () => import('./icons/copy.svg'),
-  chatSend: require('./icons/chatSend.svg').default,
+  chatSend: () => import('./icons/chatSend.svg'),
-  delete: require('./icons/delete.svg').default,
+  delete: () => import('./icons/delete.svg'),
-  stop: require('./icons/stop.svg').default,
+  stop: () => import('./icons/stop.svg'),
-  collectionLight: require('./icons/collectionLight.svg').default,
+  collectionLight: () => import('./icons/collectionLight.svg'),
-  collectionSolid: require('./icons/collectionSolid.svg').default,
+  collectionSolid: () => import('./icons/collectionSolid.svg'),
-  empty: require('./icons/empty.svg').default,
+  empty: () => import('./icons/empty.svg'),
-  back: require('./icons/back.svg').default,
+  back: () => import('./icons/back.svg'),
-  backFill: require('./icons/fill/back.svg').default,
+  backFill: () => import('./icons/fill/back.svg'),
-  more: require('./icons/more.svg').default,
+  more: () => import('./icons/more.svg'),
-  tabbarChat: require('./icons/phoneTabbar/chat.svg').default,
+  tabbarChat: () => import('./icons/phoneTabbar/chat.svg'),
-  tabbarModel: require('./icons/phoneTabbar/app.svg').default,
+  tabbarModel: () => import('./icons/phoneTabbar/app.svg'),
-  tabbarMore: require('./icons/phoneTabbar/more.svg').default,
+  tabbarMore: () => import('./icons/phoneTabbar/more.svg'),
-  tabbarMe: require('./icons/phoneTabbar/me.svg').default,
+  tabbarMe: () => import('./icons/phoneTabbar/me.svg'),
-  closeSolid: require('./icons/closeSolid.svg').default,
+  closeSolid: () => import('./icons/closeSolid.svg'),
-  wx: require('./icons/wx.svg').default,
+  wx: () => import('./icons/wx.svg'),
-  out: require('./icons/out.svg').default,
+  out: () => import('./icons/out.svg'),
-  git: require('./icons/git.svg').default,
+  git: () => import('./icons/git.svg'),
-  gitFill: require('./icons/fill/git.svg').default,
+  gitFill: () => import('./icons/fill/git.svg'),
-  googleFill: require('./icons/fill/google.svg').default,
+  googleFill: () => import('./icons/fill/google.svg'),
-  menu: require('./icons/menu.svg').default,
+  menu: () => import('./icons/menu.svg'),
-  edit: require('./icons/edit.svg').default,
+  edit: () => import('./icons/edit.svg'),
-  inform: require('./icons/inform.svg').default,
+  inform: () => import('./icons/inform.svg'),
-  export: require('./icons/export.svg').default,
+  export: () => import('./icons/export.svg'),
-  text: require('./icons/text.svg').default,
+  text: () => import('./icons/text.svg'),
-  history: require('./icons/history.svg').default,
+  history: () => import('./icons/history.svg'),
-  kbTest: require('./icons/kbTest.svg').default,
+  kbTest: () => import('./icons/kbTest.svg'),
-  date: require('./icons/date.svg').default,
+  date: () => import('./icons/date.svg'),
-  apikey: require('./icons/apikey.svg').default,
+  apikey: () => import('./icons/apikey.svg'),
-  save: require('./icons/save.svg').default,
+  save: () => import('./icons/save.svg'),
-  minus: require('./icons/minus.svg').default,
+  minus: () => import('./icons/minus.svg'),
-  chat: require('./icons/light/chat.svg').default,
+  chat: () => import('./icons/light/chat.svg'),
-  chatFill: require('./icons/fill/chat.svg').default,
+  chatFill: () => import('./icons/fill/chat.svg'),
-  clear: require('./icons/light/clear.svg').default,
+  clear: () => import('./icons/light/clear.svg'),
-  apiLight: require('./icons/light/appApi.svg').default,
+  apiLight: () => import('./icons/light/appApi.svg'),
-  overviewLight: require('./icons/light/overview.svg').default,
+  overviewLight: () => import('./icons/light/overview.svg'),
-  settingLight: require('./icons/light/setting.svg').default,
+  settingLight: () => import('./icons/light/setting.svg'),
-  shareLight: require('./icons/light/share.svg').default,
+  shareLight: () => import('./icons/light/share.svg'),
-  dbLight: require('./icons/light/db.svg').default,
+  dbLight: () => import('./icons/light/db.svg'),
-  dbFill: require('./icons/fill/db.svg').default,
+  dbFill: () => import('./icons/fill/db.svg'),
-  appStoreLight: require('./icons/light/appStore.svg').default,
+  appStoreLight: () => import('./icons/light/appStore.svg'),
-  appStoreFill: require('./icons/fill/appStore.svg').default,
+  appStoreFill: () => import('./icons/fill/appStore.svg'),
-  meLight: require('./icons/light/me.svg').default,
+  meLight: () => import('./icons/light/me.svg'),
-  meFill: require('./icons/fill/me.svg').default,
+  meFill: () => import('./icons/fill/me.svg'),
-  welcomeText: require('./icons/modules/welcomeText.svg').default,
+  welcomeText: () => import('./icons/modules/welcomeText.svg'),
-  variable: require('./icons/modules/variable.svg').default,
+  variable: () => import('./icons/modules/variable.svg'),
-  setTop: require('./icons/light/setTop.svg').default,
+  setTop: () => import('./icons/light/setTop.svg'),
-  fullScreenLight: require('./icons/light/fullScreen.svg').default,
+  fullScreenLight: () => import('./icons/light/fullScreen.svg'),
-  voice: require('./icons/voice.svg').default,
+  voice: () => import('./icons/voice.svg'),
-  html: require('./icons/file/html.svg').default,
+  html: () => import('./icons/file/html.svg'),
-  pdf: require('./icons/file/pdf.svg').default,
+  pdf: () => import('./icons/file/pdf.svg'),
-  markdown: require('./icons/file/markdown.svg').default,
+  markdown: () => import('./icons/file/markdown.svg'),
-  importLight: require('./icons/light/import.svg').default,
+  importLight: () => import('./icons/light/import.svg'),
-  manualImport: require('./icons/file/manualImport.svg').default,
+  manualImport: () => import('./icons/file/manualImport.svg'),
-  indexImport: require('./icons/file/indexImport.svg').default,
+  indexImport: () => import('./icons/file/indexImport.svg'),
-  csvImport: require('./icons/file/csv.svg').default,
+  csvImport: () => import('./icons/file/csv.svg'),
-  qaImport: require('./icons/file/qaImport.svg').default,
+  qaImport: () => import('./icons/file/qaImport.svg'),
-  uploadFile: require('./icons/file/uploadFile.svg').default,
+  uploadFile: () => import('./icons/file/uploadFile.svg'),
-  closeLight: require('./icons/light/close.svg').default,
+  closeLight: () => import('./icons/light/close.svg'),
-  customTitle: require('./icons/light/customTitle.svg').default,
+  customTitle: () => import('./icons/light/customTitle.svg'),
-  billRecordLight: require('./icons/light/billRecord.svg').default,
+  billRecordLight: () => import('./icons/light/billRecord.svg'),
-  informLight: require('./icons/light/inform.svg').default,
+  informLight: () => import('./icons/light/inform.svg'),
-  payRecordLight: require('./icons/light/payRecord.svg').default,
+  payRecordLight: () => import('./icons/light/payRecord.svg'),
-  loginoutLight: require('./icons/light/loginout.svg').default,
+  loginoutLight: () => import('./icons/light/loginout.svg'),
-  chatModelTag: require('./icons/light/chatModelTag.svg').default,
+  chatModelTag: () => import('./icons/light/chatModelTag.svg'),
-  language_en: require('./icons/language/en.svg').default,
+  language_en: () => import('./icons/language/en.svg'),
-  language_zh: require('./icons/language/zh.svg').default,
+  language_zh: () => import('./icons/language/zh.svg'),
-  outlink_share: require('./icons/outlink/share.svg').default,
+  outlink_share: () => import('./icons/outlink/share.svg'),
-  outlink_iframe: require('./icons/outlink/iframe.svg').default,
+  outlink_iframe: () => import('./icons/outlink/iframe.svg'),
-  addCircle: require('./icons/circle/add.svg').default,
+  addCircle: () => import('./icons/circle/add.svg'),
-  playFill: require('./icons/fill/play.svg').default,
+  playFill: () => import('./icons/fill/play.svg'),
-  courseLight: require('./icons/light/course.svg').default,
+  courseLight: () => import('./icons/light/course.svg'),
-  promotionLight: require('./icons/light/promotion.svg').default,
+  promotionLight: () => import('./icons/light/promotion.svg'),
-  logsLight: require('./icons/light/logs.svg').default,
+  logsLight: () => import('./icons/light/logs.svg'),
-  badLight: require('./icons/light/bad.svg').default,
+  badLight: () => import('./icons/light/bad.svg'),
-  markLight: require('./icons/light/mark.svg').default,
+  markLight: () => import('./icons/light/mark.svg'),
-  retryLight: require('./icons/light/retry.svg').default,
+  retryLight: () => import('./icons/light/retry.svg'),
-  rightArrowLight: require('./icons/light/rightArrow.svg').default,
+  rightArrowLight: () => import('./icons/light/rightArrow.svg'),
-  searchLight: require('./icons/light/search.svg').default,
+  searchLight: () => import('./icons/light/search.svg'),
-  plusFill: require('./icons/fill/plus.svg').default,
+  plusFill: () => import('./icons/fill/plus.svg'),
-  moveLight: require('./icons/light/move.svg').default
+  moveLight: () => import('./icons/light/move.svg')
 };
 
-export type IconName = keyof typeof map;
+export type IconName = keyof typeof iconPaths;
 
-const MyIcon = (
+const MyIcon = ({ name, w = 'auto', h = 'auto', ...props }: { name: IconName } & IconProps) => {
-  { name, w = 'auto', h = 'auto', ...props }: { name: IconName } & IconProps,
+  const [IconComponent, setIconComponent] = useState<any>(null);
-  ref: any
+
-) => {
+  useEffect(() => {
-  return map[name] ? (
+    iconPaths[name]()
+      .then((icon) => {
+        setIconComponent({ as: icon.default });
+      })
+      .catch((error) => console.log(error));
+  }, [name]);
+
+  return name ? (
     <Icon
-      as={map[name]}
+      {...IconComponent}
       w={w}
       h={h}
       boxSizing={'content-box'}
@@ -107,4 +114,4 @@ const MyIcon = (
   ) : null;
 };
 
-export default React.forwardRef(MyIcon);
+export default MyIcon;

client/src/components/Layout/navbar.tsx

@@ -156,6 +156,7 @@ const Navbar = ({ unread }: { unread: number }) => {
           <Link
             as={NextLink}
             {...itemStyles}
+            prefetch
             href={`/account?currentTab=inform`}
             mb={0}
             color={'#9096a5'}

client/src/components/MyImage/index.tsx

@@ -0,0 +1,40 @@
+import React, { useState } from 'react';
+import { Image, Skeleton, ImageProps } from '@chakra-ui/react';
+
+export const MyImage = (props: ImageProps) => {
+  const [isLoading, setIsLoading] = useState(true);
+  const [succeed, setSucceed] = useState(false);
+  return (
+    <Skeleton
+      minH="100px"
+      isLoaded={!isLoading}
+      fadeDuration={2}
+      display={'flex'}
+      justifyContent={'center'}
+      my={1}
+    >
+      <Image
+        display={'inline-block'}
+        borderRadius={'md'}
+        alt={''}
+        fallbackSrc={'/imgs/errImg.png'}
+        fallbackStrategy={'onError'}
+        cursor={succeed ? 'pointer' : 'default'}
+        objectFit={'contain'}
+        loading={'lazy'}
+        onLoad={() => {
+          setIsLoading(false);
+          setSucceed(true);
+        }}
+        onError={() => setIsLoading(false)}
+        onClick={() => {
+          if (!succeed) return;
+          window.open(props.src, '_blank');
+        }}
+        {...props}
+      />
+    </Skeleton>
+  );
+};
+
+export default React.memo(MyImage);

client/src/pages/api/core/dataset/file/list.ts

@@ -44,6 +44,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
         })
         .skip((pageNum - 1) * pageSize)
         .limit(pageSize)
+        .sort({ uploadDate: -1 })
         .toArray(),
       collection.countDocuments(mongoWhere)
     ]);

client/src/pages/api/openapi/kb/pushData.ts

@@ -7,9 +7,9 @@ import { withNextCors } from '@/service/utils/tools';
 import { PgDatasetTableName, TrainingModeEnum } from '@/constants/plugin';
 import { startQueue } from '@/service/utils/tools';
 import { PgClient } from '@/service/pg';
-import { modelToolMap } from '@/utils/plugin';
 import { getVectorModel } from '@/service/utils/data';
 import { DatasetItemType } from '@/types/plugin';
+import { countPromptTokens } from '@/utils/common/tiktoken';
 
 export type Props = {
   kbId: string;
@@ -102,9 +102,7 @@ export async function pushDataToKb({
     const text = item.q + item.a;
 
     // count q token
-    const token = modelToolMap.countTokens({
+    const token = countPromptTokens(item.q, 'system');
-      messages: [{ obj: 'System', value: item.q }]
-    });
 
     if (token > modeMaxToken[mode]) {
       return;

client/src/pages/api/openapi/text/gptMessagesSlice.ts

@@ -1,61 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import type { ChatItemType } from '@/types/chat';
-import { countOpenAIToken } from '@/utils/plugin/openai';
-
-type Props = {
-  messages: ChatItemType[];
-  model: string;
-  maxLen: number;
-};
-type Response = ChatItemType[];
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req });
-
-    const { messages, model, maxLen } = req.body as Props;
-
-    if (!Array.isArray(messages) || !model || !maxLen) {
-      throw new Error('params is error');
-    }
-
-    return jsonRes<Response>(res, {
-      data: gpt_chatItemTokenSlice({
-        messages,
-        maxToken: maxLen
-      })
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export function gpt_chatItemTokenSlice({
-  messages,
-  maxToken
-}: {
-  messages: ChatItemType[];
-  maxToken: number;
-}) {
-  let result: ChatItemType[] = [];
-
-  for (let i = 0; i < messages.length; i++) {
-    const msgs = [...result, messages[i]];
-
-    const tokens = countOpenAIToken({ messages: msgs });
-
-    if (tokens < maxToken) {
-      result = msgs;
-    } else {
-      break;
-    }
-  }
-
-  return result.length === 0 && messages[0] ? [messages[0]] : result;
-}

client/src/pages/api/openapi/v1/chat/completions.ts

@@ -79,6 +79,9 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
     if (!Array.isArray(messages)) {
       throw new Error('messages is not array');
     }
+    if (messages.length === 0) {
+      throw new Error('messages is empty');
+    }
 
     await connectToDatabase();
     let startTime = Date.now();
@@ -120,7 +123,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
     responseDetail = isOwner || responseDetail;
 
     const prompts = history.concat(gptMessage2ChatType(messages));
-    if (prompts[prompts.length - 1].obj === 'AI') {
+    if (prompts[prompts.length - 1]?.obj === 'AI') {
       prompts.pop();
     }
     // user question

client/src/pages/api/plugins/kb/data/insertData.ts

@@ -5,10 +5,10 @@ import { authKb, authUser } from '@/service/utils/auth';
 import { withNextCors } from '@/service/utils/tools';
 import { PgDatasetTableName } from '@/constants/plugin';
 import { insertKbItem, PgClient } from '@/service/pg';
-import { modelToolMap } from '@/utils/plugin';
 import { getVectorModel } from '@/service/utils/data';
 import { getVector } from '@/pages/api/openapi/plugin/vector';
 import { DatasetItemType } from '@/types/plugin';
+import { countPromptTokens } from '@/utils/common/tiktoken';
 
 export type Props = {
   kbId: string;
@@ -35,9 +35,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
     const a = data?.a?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
 
     // token check
-    const token = modelToolMap.countTokens({
+    const token = countPromptTokens(q, 'system');
-      messages: [{ obj: 'System', value: q }]
-    });
 
     if (token > getVectorModel(kb.vectorModel).maxToken) {
       throw new Error('Over Tokens');

client/src/pages/app/detail/components/OutLink.tsx

@@ -282,6 +282,7 @@ export function EditLinkModal({
   return (
     <MyModal
       isOpen={true}
+      showCloseBtn={false}
       onClose={() => {}}
       title={isEdit ? titleMap.current.edit[type] : titleMap.current.create[type]}
     >

client/src/pages/components/Ability.tsx

@@ -2,6 +2,7 @@ import { Box, Image, BoxProps, Grid, useTheme } from '@chakra-ui/react';
 import React from 'react';
 import { useTranslation } from 'next-i18next';
 import { feConfigs } from '@/store/static';
+import { MyImage } from '@/components/MyImage';
 
 const Ability = () => {
   const theme = useTheme();
@@ -48,13 +49,7 @@ const Ability = () => {
           <Box {...DescStyles} color={'rgba(255,255,255,0.9)'}>
             {t('home.AI Assistant Desc')}
           </Box>
-          <Image
+          <MyImage src="/imgs/home/ai_assiatant.png" alt={''} transform={'translateX(20px)'} />
-            src="/imgs/home/ai_assiatant.png"
-            alt={''}
-            w={'100%'}
-            borderRadius={'lg'}
-            transform={'translateX(20px)'}
-          />
         </Box>
         <Box
           {...CardStyles}
@@ -67,13 +62,7 @@ const Ability = () => {
           <Box {...DescStyles} color={'rgba(255,255,255,0.9)'}>
             {t('home.Dateset Desc')}
           </Box>
-          <Image
+          <MyImage src="/imgs/home/dataset_import.png" w={'90%'} mx={'auto'} borderRadius={'lg'} />
-            src="/imgs/home/dataset_import.png"
-            alt={''}
-            w={'90%'}
-            mx={'auto'}
-            borderRadius={'lg'}
-          />
         </Box>
       </Grid>
       <Grid
@@ -88,7 +77,7 @@ const Ability = () => {
           <Box {...DescStyles} fontSize={['sm', 'md']}>
             {t('home.Advanced Settings Desc')}
           </Box>
-          <Image src="/imgs/home/advanced_settings.png" alt={''} w={'100%'} />
+          <MyImage src="/imgs/home/advanced_settings.png" alt={''} w={'100%'} />
         </Box>
         <Box
           {...CardStyles}
@@ -97,7 +86,13 @@ const Ability = () => {
         >
           <Box {...TitleStyles}>{t('home.OpenAPI')}</Box>
           <Box {...DescStyles}>{t('home.OpenAPI Desc')}</Box>
-          <Image src="/imgs/home/openapi.png" alt={''} w={'90%'} mx={'auto'} borderRadius={'lg'} />
+          <MyImage
+            src="/imgs/home/openapi.png"
+            alt={''}
+            w={'90%'}
+            mx={'auto'}
+            borderRadius={'lg'}
+          />
         </Box>
       </Grid>
     </Box>

client/src/pages/components/Choice.tsx

@@ -87,7 +87,7 @@ const Choice = () => {
                 boxShadow={theme.shadows.base}
                 borderRadius={'14px'}
               >
-                <Image src={item.icon} w={'28px'} alt={''} />
+                <Image src={item.icon} w={'28px'} alt={''} loading={'lazy'} />
               </Flex>
               <Box ml={5}>
                 <Box fontSize={['lg', '2xl']} fontWeight={'bold'} color={'myGray.900'}>

client/src/pages/components/Hero.tsx

@@ -62,6 +62,7 @@ const Hero = () => {
           maxW={['120%', '1000px']}
           alt=""
           draggable={false}
+          loading={'lazy'}
         />
         <MyIcon
           name={'playFill'}

client/src/pages/index.tsx

@@ -1,4 +1,4 @@
-import React from 'react';
+import React, { useEffect } from 'react';
 import { Box } from '@chakra-ui/react';
 import { feConfigs } from '@/store/static';
 import { serviceSideProps } from '@/utils/i18n';
@@ -18,6 +18,11 @@ const Home = ({ homeUrl = '/' }: { homeUrl: string }) => {
     router.replace(homeUrl);
   }
 
+  useEffect(() => {
+    router.prefetch('/app/list');
+    router.prefetch('/login');
+  }, []);
+
   return homeUrl === '/' ? (
     <Box id="home" bg={'myWhite.600'} h={'100vh'} overflowY={'auto'} overflowX={'hidden'}>
       <Box position={'fixed'} zIndex={10} top={0} left={0} right={0}>

client/src/pages/kb/detail/components/Import/FileSelect.tsx

@@ -128,6 +128,7 @@ const FileSelect = ({
               text,
               maxLen: chunkLen
             });
+
             const fileItem: FileItemType = {
               id: filesId[0],
               filename: file.name,

client/src/pages/kb/detail/components/Import/QA.tsx

@@ -43,7 +43,7 @@ const QAImport = ({ kbId }: { kbId: string }) => {
   const price = useMemo(() => {
     const filesToken = files.reduce((sum, file) => sum + file.tokens, 0);
     const promptTokens = files.reduce((sum, file) => sum + file.chunks.length, 0) * 139;
-    const totalToken = (filesToken + promptTokens) * 1.8;
+    const totalToken = (filesToken + promptTokens) * 2;
 
     return formatPrice(totalToken * unitPrice);
   }, [files, unitPrice]);

client/src/pages/login/index.tsx

@@ -1,4 +1,4 @@
-import React, { useState, useCallback } from 'react';
+import React, { useState, useCallback, useEffect } from 'react';
 import styles from './index.module.scss';
 import { Box, Flex, Image, useDisclosure } from '@chakra-ui/react';
 import { PageTypeEnum } from '@/constants/user';
@@ -53,6 +53,10 @@ const Login = () => {
     return <Component setPageType={setPageType} loginSuccess={loginSuccess} />;
   }
 
+  useEffect(() => {
+    router.prefetch('/app/list');
+  }, []);
+
   return (
     <>
       {feConfigs.googleClientVerKey && (
@@ -90,6 +94,7 @@ const Login = () => {
               height={'100%'}
               maxH={'450px'}
               alt=""
+              loading={'lazy'}
             />
           )}
 

client/src/pages/login/provider.tsx

@@ -1,4 +1,4 @@
-import React, { useCallback } from 'react';
+import React, { useCallback, useEffect } from 'react';
 import { useRouter } from 'next/router';
 import { useGlobalStore } from '@/store/global';
 import { ResLogin } from '@/api/response/user';
@@ -88,6 +88,10 @@ const provider = ({ code, state }: { code: string; state: string }) => {
     return null;
   });
 
+  useEffect(() => {
+    router.prefetch('/app/list');
+  }, []);
+
   return <Loading />;
 };
 

client/src/service/common/tiktoken.ts

@@ -1,7 +1,8 @@
 import { ChatItemType } from '@/types/chat';
-import { modelToolMap } from '@/utils/plugin';
 import { ChatRoleEnum } from '@/constants/chat';
 import type { NextApiResponse } from 'next';
+import { countMessagesTokens, countPromptTokens } from '@/utils/common/tiktoken';
+import { adaptRole_Chat2Message } from '@/utils/common/adapt/message';
 
 export type ChatCompletionResponseType = {
   streamResponse: any;
@@ -11,39 +12,37 @@ export type ChatCompletionResponseType = {
 };
 export type StreamResponseType = {
   chatResponse: any;
-  prompts: ChatItemType[];
+  messages: ChatItemType[];
   res: NextApiResponse;
   model: string;
   [key: string]: any;
 };
 
 /* slice chat context by tokens */
-export const ChatContextFilter = ({
+export function ChatContextFilter({
-  model,
+  messages = [],
-  prompts = [],
   maxTokens
 }: {
-  model: string;
+  messages: ChatItemType[];
-  prompts: ChatItemType[];
   maxTokens: number;
-}) => {
+}) {
-  if (!Array.isArray(prompts)) {
+  if (!Array.isArray(messages)) {
     return [];
   }
-  const rawTextLen = prompts.reduce((sum, item) => sum + item.value.length, 0);
+  const rawTextLen = messages.reduce((sum, item) => sum + item.value.length, 0);
 
   // If the text length is less than half of the maximum token, no calculation is required
   if (rawTextLen < maxTokens * 0.5) {
-    return prompts;
+    return messages;
   }
 
   // filter startWith system prompt
-  const chatStartIndex = prompts.findIndex((item) => item.obj !== ChatRoleEnum.System);
+  const chatStartIndex = messages.findIndex((item) => item.obj !== ChatRoleEnum.System);
-  const systemPrompts: ChatItemType[] = prompts.slice(0, chatStartIndex);
+  const systemPrompts: ChatItemType[] = messages.slice(0, chatStartIndex);
-  const chatPrompts: ChatItemType[] = prompts.slice(chatStartIndex);
+  const chatPrompts: ChatItemType[] = messages.slice(chatStartIndex);
 
-  // reduce  token of systemPrompt
+  // reduce token of systemPrompt
-  maxTokens -= modelToolMap.countTokens({
+  maxTokens -= countMessagesTokens({
     messages: systemPrompts
   });
 
@@ -52,18 +51,18 @@ export const ChatContextFilter = ({
 
   // 从后往前截取对话内容
   for (let i = chatPrompts.length - 1; i >= 0; i--) {
-    chats.unshift(chatPrompts[i]);
+    const item = chatPrompts[i];
+    chats.unshift(item);
 
-    const tokens = modelToolMap.countTokens({
+    const tokens = countPromptTokens(item.value, adaptRole_Chat2Message(item.obj));
-      messages: chats
+    maxTokens -= tokens;
-    });
 
     /* 整体 tokens 超出范围, system必须保留 */
-    if (tokens >= maxTokens) {
+    if (maxTokens <= 0) {
       chats.shift();
       break;
     }
   }
 
   return [...systemPrompts, ...chats];
-};
+}

client/src/service/events/generateQA.ts

@@ -7,10 +7,10 @@ import { sendInform } from '@/pages/api/user/inform/send';
 import { authBalanceByUid } from '../utils/auth';
 import { axiosConfig, getAIChatApi } from '../lib/openai';
 import { ChatCompletionRequestMessage } from 'openai';
-import { modelToolMap } from '@/utils/plugin';
 import { gptMessage2ChatType } from '@/utils/adapt';
 import { addLog } from '../utils/tools';
 import { splitText2Chunks } from '@/utils/file';
+import { countMessagesTokens } from '@/utils/common/tiktoken';
 
 const reduceQueue = () => {
   global.qaQueueLen = global.qaQueueLen > 0 ? global.qaQueueLen - 1 : 0;
@@ -81,7 +81,7 @@ A2:
           }
         ];
 
-        const promptsToken = modelToolMap.countTokens({
+        const promptsToken = countMessagesTokens({
           messages: gptMessage2ChatType(messages)
         });
         const maxToken = modelTokenLimit - promptsToken;

client/src/service/moduleDispatch/agent/classifyQuestion.ts

@@ -1,5 +1,5 @@
-import { adaptChatItem_openAI } from '@/utils/plugin/openai';
+import { adaptChat2GptMessages } from '@/utils/common/adapt/message';
-import { ChatContextFilter } from '@/service/utils/chat/index';
+import { ChatContextFilter } from '@/service/common/tiktoken';
 import type { ChatHistoryItemResType, ChatItemType } from '@/types/chat';
 import { ChatModuleEnum, ChatRoleEnum, TaskResponseKeyEnum } from '@/constants/chat';
 import { getAIChatApi, axiosConfig } from '@/service/lib/openai';
@@ -50,11 +50,10 @@ export const dispatchClassifyQuestion = async (props: Record<string, any>): Prom
     }
   ];
   const filterMessages = ChatContextFilter({
-    model: agentModel,
+    messages,
-    prompts: messages,
     maxTokens
   });
-  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
+  const adaptMessages = adaptChat2GptMessages({ messages: filterMessages, reserveId: false });
 
   //   function body
   const agentFunction = {

client/src/service/moduleDispatch/agent/extract.ts

@@ -1,5 +1,5 @@
-import { adaptChatItem_openAI } from '@/utils/plugin/openai';
+import { adaptChat2GptMessages } from '@/utils/common/adapt/message';
-import { ChatContextFilter } from '@/service/utils/chat/index';
+import { ChatContextFilter } from '@/service/common/tiktoken';
 import type { ChatHistoryItemResType, ChatItemType } from '@/types/chat';
 import { ChatModuleEnum, ChatRoleEnum, TaskResponseKeyEnum } from '@/constants/chat';
 import { getAIChatApi, axiosConfig } from '@/service/lib/openai';
@@ -45,12 +45,10 @@ export async function dispatchContentExtract({
     }
   ];
   const filterMessages = ChatContextFilter({
-    // @ts-ignore
+    messages,
-    model: agentModel,
-    prompts: messages,
     maxTokens
   });
-  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
+  const adaptMessages = adaptChat2GptMessages({ messages: filterMessages, reserveId: false });
 
   const properties: Record<
     string,

client/src/service/moduleDispatch/chat/oneapi.ts

@@ -1,8 +1,6 @@
 import type { NextApiResponse } from 'next';
 import { sseResponse } from '@/service/utils/tools';
-import { adaptChatItem_openAI, countOpenAIToken } from '@/utils/plugin/openai';
+import { ChatContextFilter } from '@/service/common/tiktoken';
-import { modelToolMap } from '@/utils/plugin';
-import { ChatContextFilter } from '@/service/utils/chat/index';
 import type { ChatItemType, QuoteItemType } from '@/types/chat';
 import type { ChatHistoryItemResType } from '@/types/chat';
 import { ChatModuleEnum, ChatRoleEnum, sseResponseEventEnum } from '@/constants/chat';
@@ -17,6 +15,8 @@ import { UserModelSchema } from '@/types/mongoSchema';
 import { textCensor } from '@/api/service/plugins';
 import { ChatCompletionRequestMessageRoleEnum } from 'openai';
 import { AppModuleItemType } from '@/types/app';
+import { countMessagesTokens, sliceMessagesTB } from '@/utils/common/tiktoken';
+import { adaptChat2GptMessages } from '@/utils/common/adapt/message';
 
 export type ChatProps = {
   res: NextApiResponse;
@@ -142,7 +142,7 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis
         value: answer
       });
 
-      const totalTokens = countOpenAIToken({
+      const totalTokens = countMessagesTokens({
         messages: completeMessages
       });
 
@@ -154,8 +154,8 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis
         completeMessages
       };
     } else {
-      const answer = stream ? '' : response.data.choices?.[0].message?.content || '';
+      const answer = response.data.choices?.[0].message?.content || '';
-      const totalTokens = stream ? 0 : response.data.usage?.total_tokens || 0;
+      const totalTokens = response.data.usage?.total_tokens || 0;
 
       const completeMessages = filterMessages.concat({
         obj: ChatRoleEnum.AI,
@@ -194,8 +194,8 @@ function filterQuote({
   quoteQA: ChatProps['quoteQA'];
   model: ChatModelItemType;
 }) {
-  const sliceResult = modelToolMap.tokenSlice({
+  const sliceResult = sliceMessagesTB({
-    maxToken: model.quoteMaxToken,
+    maxTokens: model.quoteMaxToken,
     messages: quoteQA.map((item) => ({
       obj: ChatRoleEnum.System,
       value: item.a ? `${item.q}\n${item.a}` : item.q
@@ -274,12 +274,11 @@ function getChatMessages({
   ];
 
   const filterMessages = ChatContextFilter({
-    model: model.model,
+    messages,
-    prompts: messages,
     maxTokens: Math.ceil(model.contextMaxToken - 300) // filter token. not response maxToken
   });
 
-  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
+  const adaptMessages = adaptChat2GptMessages({ messages: filterMessages, reserveId: false });
 
   return {
     messages: adaptMessages,
@@ -298,7 +297,7 @@ function getMaxTokens({
   const tokensLimit = model.contextMaxToken;
   /* count response max token */
 
-  const promptsToken = modelToolMap.countTokens({
+  const promptsToken = countMessagesTokens({
     messages: filterMessages
   });
   maxToken = maxToken + promptsToken > tokensLimit ? tokensLimit - promptsToken : maxToken;

client/src/service/mongo.ts

@@ -8,6 +8,7 @@ import { initPg } from './pg';
 import { createHashPassword } from '@/utils/tools';
 import { createLogger, format, transports } from 'winston';
 import 'winston-mongodb';
+import { getTikTokenEnc } from '@/utils/common/tiktoken';
 
 /**
  * connect MongoDB and init data
@@ -38,6 +39,8 @@ export async function connectToDatabase(): Promise<void> {
 
   // init function
   getInitConfig();
+  // init tikToken
+  getTikTokenEnc();
 
   try {
     mongoose.set('strictQuery', true);

client/src/types/index.d.ts

@@ -1,7 +1,7 @@
 import type { Mongoose } from 'mongoose';
 import type { Agent } from 'http';
 import type { Pool } from 'pg';
-import type { Tiktoken } from '@dqbd/tiktoken';
+import type { Tiktoken } from 'js-tiktoken';
 import type { Logger } from 'winston';
 import { ChatModelItemType, QAModelItemType, VectorModelItemType } from './model';
 import { TrackEventName } from '@/constants/common';
@@ -49,7 +49,7 @@ declare global {
   var httpsAgent: Agent;
   var qaQueueLen: number;
   var vectorQueueLen: number;
-  var OpenAiEncMap: Tiktoken;
+  var TikToken: Tiktoken;
 
   var logger: Logger;
 

client/src/utils/common/adapt/message.ts

@@ -0,0 +1,37 @@
+import type { ChatItemType } from '@/types/chat';
+import { ChatRoleEnum } from '@/constants/chat';
+import { ChatCompletionRequestMessageRoleEnum } from 'openai';
+import type { MessageItemType } from '@/pages/api/openapi/v1/chat/completions';
+
+const chat2Message = {
+  [ChatRoleEnum.AI]: ChatCompletionRequestMessageRoleEnum.Assistant,
+  [ChatRoleEnum.Human]: ChatCompletionRequestMessageRoleEnum.User,
+  [ChatRoleEnum.System]: ChatCompletionRequestMessageRoleEnum.System
+};
+const message2Chat = {
+  [ChatCompletionRequestMessageRoleEnum.System]: ChatRoleEnum.System,
+  [ChatCompletionRequestMessageRoleEnum.User]: ChatRoleEnum.Human,
+  [ChatCompletionRequestMessageRoleEnum.Assistant]: ChatRoleEnum.AI,
+  [ChatCompletionRequestMessageRoleEnum.Function]: 'function'
+};
+
+export function adaptRole_Chat2Message(role: `${ChatRoleEnum}`) {
+  return chat2Message[role];
+}
+export function adaptRole_Message2Chat(role: `${ChatCompletionRequestMessageRoleEnum}`) {
+  return message2Chat[role];
+}
+
+export const adaptChat2GptMessages = ({
+  messages,
+  reserveId
+}: {
+  messages: ChatItemType[];
+  reserveId: boolean;
+}): MessageItemType[] => {
+  return messages.map((item) => ({
+    ...(reserveId && { dataId: item.dataId }),
+    role: chat2Message[item.obj] || ChatCompletionRequestMessageRoleEnum.System,
+    content: item.value || ''
+  }));
+};

client/src/utils/common/tiktoken/index.ts

@@ -0,0 +1,92 @@
+/* Only the token of gpt-3.5-turbo is used */
+import { ChatItemType } from '@/types/chat';
+import { Tiktoken } from 'js-tiktoken/lite';
+import { adaptChat2GptMessages } from '../adapt/message';
+import { ChatCompletionRequestMessageRoleEnum } from 'openai';
+import encodingJson from './cl100k_base.json';
+
+/* init tikToken obj */
+export function getTikTokenEnc() {
+  if (typeof window !== 'undefined' && window.TikToken) {
+    return window.TikToken;
+  }
+  if (typeof global !== 'undefined' && global.TikToken) {
+    return global.TikToken;
+  }
+
+  const enc = new Tiktoken(encodingJson);
+
+  if (typeof window !== 'undefined') {
+    window.TikToken = enc;
+  }
+  if (typeof global !== 'undefined') {
+    global.TikToken = enc;
+  }
+
+  return enc;
+}
+
+/* count one prompt tokens */
+export function countPromptTokens(prompt = '', role: `${ChatCompletionRequestMessageRoleEnum}`) {
+  const enc = getTikTokenEnc();
+  const text = `${role}\n${prompt}`;
+  try {
+    const encodeText = enc.encode(text);
+    return encodeText.length + 3; // 补充 role 估算值
+  } catch (error) {
+    return text.length;
+  }
+}
+
+/* count messages tokens */
+export function countMessagesTokens({ messages }: { messages: ChatItemType[] }) {
+  const adaptMessages = adaptChat2GptMessages({ messages, reserveId: true });
+
+  let totalTokens = 0;
+  for (let i = 0; i < adaptMessages.length; i++) {
+    const item = adaptMessages[i];
+    const tokens = countPromptTokens(item.content, item.role);
+    totalTokens += tokens;
+  }
+
+  return totalTokens;
+}
+
+export function sliceTextByTokens({ text, length }: { text: string; length: number }) {
+  const enc = getTikTokenEnc();
+
+  try {
+    const encodeText = enc.encode(text);
+    return enc.decode(encodeText.slice(0, length));
+  } catch (error) {
+    return text.slice(0, length);
+  }
+}
+
+/* slice messages from top to bottom by maxTokens */
+export function sliceMessagesTB({
+  messages,
+  maxTokens
+}: {
+  messages: ChatItemType[];
+  maxTokens: number;
+}) {
+  const adaptMessages = adaptChat2GptMessages({ messages, reserveId: true });
+  let reduceTokens = maxTokens;
+  let result: ChatItemType[] = [];
+
+  for (let i = 0; i < adaptMessages.length; i++) {
+    const item = adaptMessages[i];
+
+    const tokens = countPromptTokens(item.content, item.role);
+    reduceTokens -= tokens;
+
+    if (tokens > 0) {
+      result.push(messages[i]);
+    } else {
+      break;
+    }
+  }
+
+  return result.length === 0 && messages[0] ? [messages[0]] : result;
+}

client/src/utils/file.ts

@@ -1,8 +1,8 @@
 import mammoth from 'mammoth';
 import Papa from 'papaparse';
-import { getOpenAiEncMap } from './plugin/openai';
 import { getErrText } from './tools';
 import { uploadImg, postUploadFiles } from '@/api/support/file';
+import { countPromptTokens } from './common/tiktoken';
 
 /**
  * upload file to mongo gridfs
@@ -206,16 +206,7 @@ export const splitText2Chunks = ({ text, maxLen }: { text: string; maxLen: numbe
       chunks.push(chunk);
     }
 
-    const tokens = (() => {
+    const tokens = chunks.reduce((sum, chunk) => sum + countPromptTokens(chunk, 'system'), 0);
-      try {
-        const enc = getOpenAiEncMap();
-        const encodeText = enc.encode(chunks.join(''));
-        const tokens = encodeText.length;
-        return tokens;
-      } catch (error) {
-        return chunks.join('').length;
-      }
-    })();
 
     return {
       chunks,

client/src/utils/plugin/index.ts

@@ -1,8 +0,0 @@
-import { countOpenAIToken, openAiSliceTextByToken } from './openai';
-import { gpt_chatItemTokenSlice } from '@/pages/api/openapi/text/gptMessagesSlice';
-
-export const modelToolMap = {
-  countTokens: countOpenAIToken,
-  sliceText: openAiSliceTextByToken,
-  tokenSlice: gpt_chatItemTokenSlice
-};

client/src/utils/plugin/openai.ts

@@ -1,100 +0,0 @@
-import { encoding_for_model } from '@dqbd/tiktoken';
-import type { ChatItemType } from '@/types/chat';
-import { ChatRoleEnum } from '@/constants/chat';
-import { ChatCompletionRequestMessageRoleEnum } from 'openai';
-import axios from 'axios';
-import type { MessageItemType } from '@/pages/api/openapi/v1/chat/completions';
-
-export const getOpenAiEncMap = () => {
-  if (typeof window !== 'undefined' && window.OpenAiEncMap) {
-    return window.OpenAiEncMap;
-  }
-  if (typeof global !== 'undefined' && global.OpenAiEncMap) {
-    return global.OpenAiEncMap;
-  }
-  const enc = encoding_for_model('gpt-3.5-turbo', {
-    '<|im_start|>': 100264,
-    '<|im_end|>': 100265,
-    '<|im_sep|>': 100266
-  });
-
-  if (typeof window !== 'undefined') {
-    window.OpenAiEncMap = enc;
-  }
-  if (typeof global !== 'undefined') {
-    global.OpenAiEncMap = enc;
-  }
-
-  return enc;
-};
-
-export const adaptChatItem_openAI = ({
-  messages,
-  reserveId
-}: {
-  messages: ChatItemType[];
-  reserveId: boolean;
-}): MessageItemType[] => {
-  const map = {
-    [ChatRoleEnum.AI]: ChatCompletionRequestMessageRoleEnum.Assistant,
-    [ChatRoleEnum.Human]: ChatCompletionRequestMessageRoleEnum.User,
-    [ChatRoleEnum.System]: ChatCompletionRequestMessageRoleEnum.System
-  };
-  return messages.map((item) => ({
-    ...(reserveId && { dataId: item.dataId }),
-    role: map[item.obj] || ChatCompletionRequestMessageRoleEnum.System,
-    content: item.value || ''
-  }));
-};
-
-export function countOpenAIToken({ messages }: { messages: ChatItemType[] }) {
-  const adaptMessages = adaptChatItem_openAI({ messages, reserveId: true });
-  const token = adaptMessages.reduce((sum, item) => {
-    const text = `${item.role}\n${item.content}`;
-
-    /* use textLen as tokens if encode error */
-    const tokens = (() => {
-      try {
-        const enc = getOpenAiEncMap();
-        const encodeText = enc.encode(text);
-        return encodeText.length + 3; // 补充估算值
-      } catch (error) {
-        return text.length;
-      }
-    })();
-
-    return sum + tokens;
-  }, 0);
-
-  return token;
-}
-
-export const openAiSliceTextByToken = ({ text, length }: { text: string; length: number }) => {
-  const enc = getOpenAiEncMap();
-
-  try {
-    const encodeText = enc.encode(text);
-    const decoder = new TextDecoder();
-    return decoder.decode(enc.decode(encodeText.slice(0, length)));
-  } catch (error) {
-    return text.slice(0, length);
-  }
-};
-
-export const authOpenAiKey = async (key: string) => {
-  return axios
-    .get('https://ccdbwscohpmu.cloud.sealos.io/openai/v1/dashboard/billing/subscription', {
-      headers: {
-        Authorization: `Bearer ${key}`
-      }
-    })
-    .then((res) => {
-      if (!res.data.access_until) {
-        return Promise.resolve('OpenAI Key 可能无效');
-      }
-    })
-    .catch((err) => {
-      console.log(err);
-      return Promise.reject(err?.response?.data?.error?.message || 'OpenAI Key 可能无效');
-    });
-};