perf: index

fix: ssr close
perf: docker-compose
2023-06-25 16:05:43 +08:00 · 2023-06-25 14:16:54 +08:00 · 2023-06-25 13:41:44 +08:00 · 2023-06-25 13:20:00 +08:00 · 2023-06-25 10:52:58 +08:00 · 2023-06-24 21:39:34 +08:00
99 changed files with 4165 additions and 3170 deletions
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # Fast GPT

-Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口，目前集成了 Gpt35, Gpt4 和 embedding. 可构建自己的知识库。
+Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口，目前集成了 Gpt35, Gpt4 和 embedding. 可构建自己的知识库。并且 OpenAPI Chat 接口兼容 OpenAI 接口，意味着你只需修改 BaseUrl 和 Authorization 即可在已有项目基础上接入 FastGpt！

 ## 🛸 在线体验

@@ -44,9 +44,10 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接

 ## Powered by

- [TuShan 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
- [Laf 3 分钟快速接入三方应用](https://github.com/labring/laf)
- [Sealos 快速部署集群应用](https://github.com/labring/sealos)
+- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
+- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
+- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
+- [One API: 令牌管理 & 二次分发，支持 Azure](https://github.com/songquanpeng/one-api)

 ## 🌟 Star History

--- a/admin/.gitignore
+++ b/admin/.gitignore
@@ -1 +1 @@
-node_modules/
+node_modules/
--- a/admin/README.md
+++ b/admin/README.md
@@ -2,13 +2,14 @@

 ## 项目原理

-使用 tushan 项目做前端，然后构造了一个与 mongodb 做沟通的 API 做后端，可以做到创建、修改和删除用户
+使用 [Tushan](https://tushan.msgbyte.com/) 项目做前端，然后构造了一个与 mongodb 做沟通的 API 做后端，可以做到创建、修改和删除用户

 ## 开发

-1. 复制 .env.template 文件，添加环境变量
-2. pnpm i
-3. pnpm dev
+1. `cp .env.template .env.local`: 复制 .env.template 文件，添加环境变量
+2. `pnpm i`
+3. `pnpm dev`
+4. 打开 `http://localhost:5173/` 访问前端页面

 ## 部署

@@ -25,7 +26,8 @@ MONGODB_NAME=fastgpt
 ADMIN_USER=username
 ADMIN_PASS=password
 ADMIN_SECRET=any
-VITE_PUBLIC_SERVER_URL=http://localhost:3001 # 和server.js一致
+PARENT_URL=http://localhost:3000
+PARENT_ROOT_KEY=rootkey
 ```

 ## sealos 部署
@@ -33,7 +35,7 @@ VITE_PUBLIC_SERVER_URL=http://localhost:3001 # 和server.js一致
 1. 进入 sealos 官网: https://cloud.sealos.io/
 2. 打开 App Launchpad(应用管理) 工具
 3. 新建应用
-   1. 镜像名: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest
+   1. 镜像名: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
   2. 容器端口: 3001
   3. 环境变量: 参考上面
   4. 打开外网访问开关
--- a/admin/index.html
+++ b/admin/index.html
@@ -4,7 +4,7 @@
    <meta charset="UTF-8" />
    <link rel="icon" type="image/svg+xml" href="/logo.svg" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Tushan</title>
+    <title>Fast GPT</title>
  </head>
  <body>
    <div id="root"></div>
--- a/admin/package.json
+++ b/admin/package.json
@@ -25,7 +25,7 @@
    "react-admin": "^4.11.0",
    "react-dom": "^18.2.0",
    "react-i18next": "^12.3.1",
-    "tushan": "^0.2.23"
+    "tushan": "^0.2.30"
  },
  "devDependencies": {
    "@types/jsonexport": "^3.0.2",
--- a/admin/pnpm-lock.yaml
+++ b/admin/pnpm-lock.yaml
--- a/admin/service/schema.js
+++ b/admin/service/schema.js
@@ -86,18 +86,6 @@ const modelSchema = new mongoose.Schema({
 });

 const SystemSchema = new mongoose.Schema({
-  openAIKeys: {
-    type: String,
-    default: ''
-  },
-  openAITrainingKeys: {
-    type: String,
-    default: ''
-  },
-  gpt4Key: {
-    type: String,
-    default: ''
-  },
  vectorMaxProcess: {
    type: Number,
    default: 10
--- a/admin/src/App.tsx
+++ b/admin/src/App.tsx
@@ -4,16 +4,19 @@ import {
  ListTable,
  Resource,
  Tushan,
-  fetchJSON
+  fetchJSON,
+  TushanContextProps,
+  HTTPClient
 } from 'tushan';
 import { authProvider } from './auth';
 import { userFields, payFields, kbFields, ModelFields, SystemFields } from './fields';
 import { Dashboard } from './Dashboard';
 import { IconUser, IconApps, IconBook, IconStamp } from 'tushan/icon';
+import { i18nZhTranslation } from 'tushan/client/i18n/resources/zh';

 const authStorageKey = 'tushan:auth';

-const httpClient: typeof fetchJSON = (url, options = {}) => {
+const httpClient: HTTPClient = (url, options = {}) => {
  try {
    if (!options.headers) {
      options.headers = new Headers({ Accept: 'application/json' });
@@ -29,11 +32,22 @@ const httpClient: typeof fetchJSON = (url, options = {}) => {

 const dataProvider = jsonServerProvider(import.meta.env.VITE_PUBLIC_SERVER_URL, httpClient);

+const i18n: TushanContextProps['i18n'] = {
+  languages: [
+    {
+      key: 'zh',
+      label: '简体中文',
+      translation: i18nZhTranslation
+    }
+  ]
+};
+
 function App() {
  return (
    <Tushan
      basename="/"
      header={'FastGpt-Admin'}
+      i18n={i18n}
      dataProvider={dataProvider}
      authProvider={authProvider}
      dashboard={<Dashboard />}
--- a/admin/src/fields.ts
+++ b/admin/src/fields.ts
@@ -45,9 +45,6 @@ export const ModelFields = [
 ];

 export const SystemFields = [
-  createTextField('openAIKeys', { label: 'openAIKeys，逗号隔开' }),
-  createTextField('openAITrainingKeys', { label: 'openAITrainingKeys' }),
-  createTextField('gpt4Key', { label: 'gpt4Key' }),
  createTextField('vectorMaxProcess', { label: '向量最大进程' }),
  createTextField('qaMaxProcess', { label: 'qa最大进程' }),
  createTextField('pgIvfflatProbe', { label: 'pg 探针数量' }),
--- a/client/.env.template
+++ b/client/.env.template
@@ -1,5 +1,7 @@
 # 运行端口，如果不是 3000 口运行，需要改成其他的。注意：不是改了这个变量就会变成其他端口，而是因为改成其他端口，才用这个变量。
 PORT=3000
+# database max link
+DB_MAX_LINK=5
 # 代理
 # AXIOS_PROXY_HOST=127.0.0.1
 # AXIOS_PROXY_PORT=7890
@@ -15,12 +17,12 @@ aliTemplateCode=xxxx
 TOKEN_KEY=dfdasfdas
 # root key, 最高权限
 ROOT_KEY=fdafasd
-# openai
-# OPENAI_BASE_URL=http://ai.openai.com/v1
-# OPENAI_BASE_URL_AUTH=可选安全凭证，会放到 header.auth 里
-OPENAIKEY=sk-xxx
-OPENAI_TRAINING_KEY=sk-xxx
-GPT4KEY=sk-xxx
+# 使用 oneapi 
+# ONEAPI_URL=https://xxxx.cloud.sealos.io/v1
+# ONEAPI_KEY=sk-xxxx
+# openai 的基本地址（国外的可以忽略，默认走 api.openai.com）。不用 oneapi 的话需要下面 2 个参数，用户的 key 也会走下面的参数
+OPENAI_BASE_URL=https://xxxx.cloud.sealos.io/openai/v1
+OPENAIKEY=sk-xxxx
 # db
 MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
 MONGODB_NAME=fastgpt
--- a/client/package.json
+++ b/client/package.json
@@ -26,32 +26,31 @@
    "crypto": "^1.0.1",
    "date-fns": "^2.30.0",
    "dayjs": "^1.11.7",
-    "eventsource-parser": "^0.1.0",
    "formidable": "^2.1.1",
    "framer-motion": "^9.0.6",
-    "graphemer": "^1.4.0",
    "hyperdown": "^2.4.29",
    "immer": "^9.0.19",
    "jsonwebtoken": "^9.0.0",
    "lodash": "^4.17.21",
    "mammoth": "^1.5.1",
-    "mermaid": "^8.13.5",
+    "mermaid": "^10.2.3",
    "mongoose": "^6.10.0",
    "nanoid": "^4.0.1",
    "next": "13.1.6",
    "nextjs-cors": "^2.1.2",
    "nodemailer": "^6.9.1",
    "nprogress": "^0.2.0",
-    "openai": "^3.2.1",
+    "openai": "^3.3.0",
    "papaparse": "^5.4.1",
    "pg": "^8.10.0",
    "react": "18.2.0",
    "react-day-picker": "^8.7.1",
    "react-dom": "18.2.0",
    "react-hook-form": "^7.43.1",
-    "react-markdown": "^8.0.5",
+    "react-markdown": "^8.0.7",
    "react-syntax-highlighter": "^15.5.0",
    "rehype-katex": "^6.0.2",
+    "remark-breaks": "^3.0.3",
    "remark-gfm": "^3.0.1",
    "remark-math": "^5.1.1",
    "request-ip": "^3.3.0",
--- a/client/pnpm-lock.yaml
+++ b/client/pnpm-lock.yaml
@@ -56,18 +56,12 @@ dependencies:
  dayjs:
    specifier: ^1.11.7
    version: registry.npmmirror.com/dayjs@1.11.7
-  eventsource-parser:
-    specifier: ^0.1.0
-    version: registry.npmmirror.com/eventsource-parser@0.1.0
  formidable:
    specifier: ^2.1.1
    version: registry.npmmirror.com/formidable@2.1.1
  framer-motion:
    specifier: ^9.0.6
    version: registry.npmmirror.com/framer-motion@9.0.6(react-dom@18.2.0)(react@18.2.0)
-  graphemer:
-    specifier: ^1.4.0
-    version: registry.npmmirror.com/graphemer@1.4.0
  hyperdown:
    specifier: ^2.4.29
    version: registry.npmmirror.com/hyperdown@2.4.29
@@ -84,8 +78,8 @@ dependencies:
    specifier: ^1.5.1
    version: registry.npmmirror.com/mammoth@1.5.1
  mermaid:
-    specifier: ^8.13.5
-    version: registry.npmmirror.com/mermaid@8.13.5
+    specifier: ^10.2.3
+    version: registry.npmmirror.com/mermaid@10.2.3
  mongoose:
    specifier: ^6.10.0
    version: registry.npmmirror.com/mongoose@6.10.0
@@ -105,8 +99,8 @@ dependencies:
    specifier: ^0.2.0
    version: registry.npmmirror.com/nprogress@0.2.0
  openai:
-    specifier: ^3.2.1
-    version: registry.npmmirror.com/openai@3.2.1
+    specifier: ^3.3.0
+    version: registry.npmmirror.com/openai@3.3.0
  papaparse:
    specifier: ^5.4.1
    version: registry.npmmirror.com/papaparse@5.4.1
@@ -126,14 +120,17 @@ dependencies:
    specifier: ^7.43.1
    version: registry.npmmirror.com/react-hook-form@7.43.1(react@18.2.0)
  react-markdown:
-    specifier: ^8.0.5
-    version: registry.npmmirror.com/react-markdown@8.0.5(@types/react@18.0.28)(react@18.2.0)
+    specifier: ^8.0.7
+    version: registry.npmmirror.com/react-markdown@8.0.7(@types/react@18.0.28)(react@18.2.0)
  react-syntax-highlighter:
    specifier: ^15.5.0
    version: registry.npmmirror.com/react-syntax-highlighter@15.5.0(react@18.2.0)
  rehype-katex:
    specifier: ^6.0.2
    version: registry.npmmirror.com/rehype-katex@6.0.2
+  remark-breaks:
+    specifier: ^3.0.3
+    version: registry.npmmirror.com/remark-breaks@3.0.3
  remark-gfm:
    specifier: ^3.0.1
    version: registry.npmmirror.com/remark-gfm@3.0.1
@@ -2923,11 +2920,10 @@ packages:
      '@babel/helper-validator-identifier': registry.npmmirror.com/@babel/helper-validator-identifier@7.22.5
      to-fast-properties: registry.npmmirror.com/to-fast-properties@2.0.0

-  registry.npmmirror.com/@braintree/sanitize-url@3.1.0:
-    resolution: {integrity: sha512-GcIY79elgB+azP74j8vqkiXz8xLFfIzbQJdlwOPisgbKT00tviJQuEghOXSMVxJ00HoYJbGswr4kcllUc4xCcg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@braintree/sanitize-url/-/sanitize-url-3.1.0.tgz}
+  registry.npmmirror.com/@braintree/sanitize-url@6.0.2:
+    resolution: {integrity: sha512-Tbsj02wXCbqGmzdnXNk0SOF19ChhRU70BsroIi4Pm6Ehp56in6vch94mfbdQ17DozxkL3BAVjbZ4Qc1a0HFRAg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@braintree/sanitize-url/-/sanitize-url-6.0.2.tgz}
    name: '@braintree/sanitize-url'
-    version: 3.1.0
-    deprecated: Potential XSS vulnerability patched in v6.0.0.
+    version: 6.0.2
    dev: false

  registry.npmmirror.com/@chakra-ui/accordion@2.2.0(@chakra-ui/system@2.5.8)(framer-motion@9.0.6)(react@18.2.0):
@@ -6109,12 +6105,6 @@ packages:
    version: 2.0.3
    dev: false

-  registry.npmmirror.com/commander@2.20.3:
-    resolution: {integrity: sha512-GpVkmM8vF2vQUkj2LvZmD35JxeJOLCwJ9cUkugyk2nuhbv3+mJvpLYYt+0+USMxE+oj+ey/lJEnhZw75x/OMcQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/commander/-/commander-2.20.3.tgz}
-    name: commander
-    version: 2.20.3
-    dev: false
-
  registry.npmmirror.com/commander@7.2.0:
    resolution: {integrity: sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/commander/-/commander-7.2.0.tgz}
    name: commander
@@ -6197,6 +6187,22 @@ packages:
      vary: registry.npmmirror.com/vary@1.1.2
    dev: false

+  registry.npmmirror.com/cose-base@1.0.3:
+    resolution: {integrity: sha512-s9whTXInMSgAp/NVXVNuVxVKzGH2qck3aQlVHxDCdAEPgtMKwc4Wq6/QKhgdEdgbLSi9rBTAcPoRa6JpiG4ksg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/cose-base/-/cose-base-1.0.3.tgz}
+    name: cose-base
+    version: 1.0.3
+    dependencies:
+      layout-base: registry.npmmirror.com/layout-base@1.0.2
+    dev: false
+
+  registry.npmmirror.com/cose-base@2.2.0:
+    resolution: {integrity: sha512-AzlgcsCbUMymkADOJtQm3wO9S3ltPfYOFD5033keQn9NJzIbtnZj+UdBJe7DYml/8TdbtHJW3j58SOnKhWY/5g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/cose-base/-/cose-base-2.2.0.tgz}
+    name: cose-base
+    version: 2.2.0
+    dependencies:
+      layout-base: registry.npmmirror.com/layout-base@2.0.1
+    dev: false
+
  registry.npmmirror.com/cosmiconfig@7.1.0:
    resolution: {integrity: sha512-AdmX6xUzdNASswsFtmwSt7Vj8po9IuqXm0UXz7QKPuEUmPB4XyjGfaAr2PSuELMwkRMVH1EpIkX5bTZGRB3eCA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/cosmiconfig/-/cosmiconfig-7.1.0.tgz}
    name: cosmiconfig
@@ -6278,10 +6284,38 @@ packages:
    name: csstype
    version: 3.1.2

-  registry.npmmirror.com/d3-array@1.2.4:
-    resolution: {integrity: sha512-KHW6M86R+FUPYGb3R5XiYjXPq7VzwxZ22buHhAEVG5ztoEcZZMLov530mmccaqA1GghZArjQV46fuc8kUqhhHw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-array/-/d3-array-1.2.4.tgz}
-    name: d3-array
-    version: 1.2.4
+  registry.npmmirror.com/cytoscape-cose-bilkent@4.1.0(cytoscape@3.25.0):
+    resolution: {integrity: sha512-wgQlVIUJF13Quxiv5e1gstZ08rnZj2XaLHGoFMYXz7SkNfCDOOteKBE6SYRfA9WxxI/iBc3ajfDoc6hb/MRAHQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/cytoscape-cose-bilkent/-/cytoscape-cose-bilkent-4.1.0.tgz}
+    id: registry.npmmirror.com/cytoscape-cose-bilkent/4.1.0
+    name: cytoscape-cose-bilkent
+    version: 4.1.0
+    peerDependencies:
+      cytoscape: ^3.2.0
+    dependencies:
+      cose-base: registry.npmmirror.com/cose-base@1.0.3
+      cytoscape: registry.npmmirror.com/cytoscape@3.25.0
+    dev: false
+
+  registry.npmmirror.com/cytoscape-fcose@2.2.0(cytoscape@3.25.0):
+    resolution: {integrity: sha512-ki1/VuRIHFCzxWNrsshHYPs6L7TvLu3DL+TyIGEsRcvVERmxokbf5Gdk7mFxZnTdiGtnA4cfSmjZJMviqSuZrQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/cytoscape-fcose/-/cytoscape-fcose-2.2.0.tgz}
+    id: registry.npmmirror.com/cytoscape-fcose/2.2.0
+    name: cytoscape-fcose
+    version: 2.2.0
+    peerDependencies:
+      cytoscape: ^3.2.0
+    dependencies:
+      cose-base: registry.npmmirror.com/cose-base@2.2.0
+      cytoscape: registry.npmmirror.com/cytoscape@3.25.0
+    dev: false
+
+  registry.npmmirror.com/cytoscape@3.25.0:
+    resolution: {integrity: sha512-7MW3Iz57mCUo6JQCho6CmPBCbTlJr7LzyEtIkutG255HLVd4XuBg2I9BkTZLI/e4HoaOB/BiAzXuQybQ95+r9Q==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/cytoscape/-/cytoscape-3.25.0.tgz}
+    name: cytoscape
+    version: 3.25.0
+    engines: {node: '>=0.10'}
+    dependencies:
+      heap: registry.npmmirror.com/heap@0.2.7
+      lodash: registry.npmmirror.com/lodash@4.17.21
    dev: false

  registry.npmmirror.com/d3-array@3.2.4:
@@ -6293,12 +6327,6 @@ packages:
      internmap: registry.npmmirror.com/internmap@2.0.3
    dev: false

-  registry.npmmirror.com/d3-axis@1.0.12:
-    resolution: {integrity: sha512-ejINPfPSNdGFKEOAtnBtdkpr24c4d4jsei6Lg98mxf424ivoDP2956/5HDpIAtmHo85lqT4pruy+zEgvRUBqaQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-axis/-/d3-axis-1.0.12.tgz}
-    name: d3-axis
-    version: 1.0.12
-    dev: false
-
  registry.npmmirror.com/d3-axis@3.0.0:
    resolution: {integrity: sha512-IH5tgjV4jE/GhHkRV0HiVYPDtvfjHQlQfJHs0usq7M30XcSBvOotpmH1IgkcXsO/5gEQZD43B//fc7SRT5S+xw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-axis/-/d3-axis-3.0.0.tgz}
    name: d3-axis
@@ -6306,18 +6334,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-brush@1.1.6:
-    resolution: {integrity: sha512-7RW+w7HfMCPyZLifTz/UnJmI5kdkXtpCbombUSs8xniAyo0vIbrDzDwUJB6eJOgl9u5DQOt2TQlYumxzD1SvYA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-brush/-/d3-brush-1.1.6.tgz}
-    name: d3-brush
-    version: 1.1.6
-    dependencies:
-      d3-dispatch: registry.npmmirror.com/d3-dispatch@1.0.6
-      d3-drag: registry.npmmirror.com/d3-drag@1.2.5
-      d3-interpolate: registry.npmmirror.com/d3-interpolate@1.4.0
-      d3-selection: registry.npmmirror.com/d3-selection@1.4.2
-      d3-transition: registry.npmmirror.com/d3-transition@1.3.2
-    dev: false
-
  registry.npmmirror.com/d3-brush@3.0.0:
    resolution: {integrity: sha512-ALnjWlVYkXsVIGlOsuWH1+3udkYFI48Ljihfnh8FZPF2QS9o+PzGLBslO0PjzVoHLZ2KCVgAM8NVkXPJB2aNnQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-brush/-/d3-brush-3.0.0.tgz}
    name: d3-brush
@@ -6331,15 +6347,6 @@ packages:
      d3-transition: registry.npmmirror.com/d3-transition@3.0.1(d3-selection@3.0.0)
    dev: false

-  registry.npmmirror.com/d3-chord@1.0.6:
-    resolution: {integrity: sha512-JXA2Dro1Fxw9rJe33Uv+Ckr5IrAa74TlfDEhE/jfLOaXegMQFQTAgAw9WnZL8+HxVBRXaRGCkrNU7pJeylRIuA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-chord/-/d3-chord-1.0.6.tgz}
-    name: d3-chord
-    version: 1.0.6
-    dependencies:
-      d3-array: registry.npmmirror.com/d3-array@1.2.4
-      d3-path: registry.npmmirror.com/d3-path@1.0.9
-    dev: false
-
  registry.npmmirror.com/d3-chord@3.0.1:
    resolution: {integrity: sha512-VE5S6TNa+j8msksl7HwjxMHDM2yNK3XCkusIlpX5kwauBfXuyLAtNg9jCp/iHH61tgI4sb6R/EIMWCqEIdjT/g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-chord/-/d3-chord-3.0.1.tgz}
    name: d3-chord
@@ -6349,18 +6356,6 @@ packages:
      d3-path: registry.npmmirror.com/d3-path@3.1.0
    dev: false

-  registry.npmmirror.com/d3-collection@1.0.7:
-    resolution: {integrity: sha512-ii0/r5f4sjKNTfh84Di+DpztYwqKhEyUlKoPrzUFfeSkWxjW49xU2QzO9qrPrNkpdI0XJkfzvmTu8V2Zylln6A==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-collection/-/d3-collection-1.0.7.tgz}
-    name: d3-collection
-    version: 1.0.7
-    dev: false
-
-  registry.npmmirror.com/d3-color@1.4.1:
-    resolution: {integrity: sha512-p2sTHSLCJI2QKunbGb7ocOh7DgTAn8IrLx21QRc/BSnodXM4sv6aLQlnfpvehFMLZEfBc6g9pH9SWQccFYfJ9Q==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-color/-/d3-color-1.4.1.tgz}
-    name: d3-color
-    version: 1.4.1
-    dev: false
-
  registry.npmmirror.com/d3-color@3.1.0:
    resolution: {integrity: sha512-zg/chbXyeBtMQ1LbD/WSoW2DpC3I0mpmPdW+ynRTj/x2DAWYrIY7qeZIHidozwV24m4iavr15lNwIwLxRmOxhA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-color/-/d3-color-3.1.0.tgz}
    name: d3-color
@@ -6368,14 +6363,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-contour@1.3.2:
-    resolution: {integrity: sha512-hoPp4K/rJCu0ladiH6zmJUEz6+u3lgR+GSm/QdM2BBvDraU39Vr7YdDCicJcxP1z8i9B/2dJLgDC1NcvlF8WCg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-contour/-/d3-contour-1.3.2.tgz}
-    name: d3-contour
-    version: 1.3.2
-    dependencies:
-      d3-array: registry.npmmirror.com/d3-array@1.2.4
-    dev: false
-
  registry.npmmirror.com/d3-contour@4.0.2:
    resolution: {integrity: sha512-4EzFTRIikzs47RGmdxbeUvLWtGedDUNkTcmzoeyg4sP/dvCexO47AaQL7VKy/gul85TOxw+IBgA8US2xwbToNA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-contour/-/d3-contour-4.0.2.tgz}
    name: d3-contour
@@ -6394,12 +6381,6 @@ packages:
      delaunator: registry.npmmirror.com/delaunator@5.0.0
    dev: false

-  registry.npmmirror.com/d3-dispatch@1.0.6:
-    resolution: {integrity: sha512-fVjoElzjhCEy+Hbn8KygnmMS7Or0a9sI2UzGwoB7cCtvI1XpVN9GpoYlnb3xt2YV66oXYb1fLJ8GMvP4hdU1RA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-dispatch/-/d3-dispatch-1.0.6.tgz}
-    name: d3-dispatch
-    version: 1.0.6
-    dev: false
-
  registry.npmmirror.com/d3-dispatch@3.0.1:
    resolution: {integrity: sha512-rzUyPU/S7rwUflMyLc1ETDeBj0NRuHKKAcvukozwhshr6g6c5d8zh4c2gQjY2bZ0dXeGLWc1PF174P2tVvKhfg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-dispatch/-/d3-dispatch-3.0.1.tgz}
    name: d3-dispatch
@@ -6407,15 +6388,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-drag@1.2.5:
-    resolution: {integrity: sha512-rD1ohlkKQwMZYkQlYVCrSFxsWPzI97+W+PaEIBNTMxRuxz9RF0Hi5nJWHGVJ3Om9d2fRTe1yOBINJyy/ahV95w==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-drag/-/d3-drag-1.2.5.tgz}
-    name: d3-drag
-    version: 1.2.5
-    dependencies:
-      d3-dispatch: registry.npmmirror.com/d3-dispatch@1.0.6
-      d3-selection: registry.npmmirror.com/d3-selection@1.4.2
-    dev: false
-
  registry.npmmirror.com/d3-drag@3.0.0:
    resolution: {integrity: sha512-pWbUJLdETVA8lQNJecMxoXfH6x+mO2UQo8rSmZ+QqxcbyA3hfeprFgIT//HW2nlHChWeIIMwS2Fq+gEARkhTkg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-drag/-/d3-drag-3.0.0.tgz}
    name: d3-drag
@@ -6426,17 +6398,6 @@ packages:
      d3-selection: registry.npmmirror.com/d3-selection@3.0.0
    dev: false

-  registry.npmmirror.com/d3-dsv@1.2.0:
-    resolution: {integrity: sha512-9yVlqvZcSOMhCYzniHE7EVUws7Fa1zgw+/EAV2BxJoG3ME19V6BQFBwI855XQDsxyOuG7NibqRMTtiF/Qup46g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-dsv/-/d3-dsv-1.2.0.tgz}
-    name: d3-dsv
-    version: 1.2.0
-    hasBin: true
-    dependencies:
-      commander: registry.npmmirror.com/commander@2.20.3
-      iconv-lite: registry.npmmirror.com/iconv-lite@0.4.24
-      rw: registry.npmmirror.com/rw@1.3.3
-    dev: false
-
  registry.npmmirror.com/d3-dsv@3.0.1:
    resolution: {integrity: sha512-UG6OvdI5afDIFP9w4G0mNq50dSOsXHJaRE8arAS5o9ApWnIElp8GZw1Dun8vP8OyHOZ/QJUKUJwxiiCCnUwm+Q==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-dsv/-/d3-dsv-3.0.1.tgz}
    name: d3-dsv
@@ -6449,12 +6410,6 @@ packages:
      rw: registry.npmmirror.com/rw@1.3.3
    dev: false

-  registry.npmmirror.com/d3-ease@1.0.7:
-    resolution: {integrity: sha512-lx14ZPYkhNx0s/2HX5sLFUI3mbasHjSSpwO/KaaNACweVwxUruKyWVcb293wMv1RqTPZyZ8kSZ2NogUZNcLOFQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-ease/-/d3-ease-1.0.7.tgz}
-    name: d3-ease
-    version: 1.0.7
-    dev: false
-
  registry.npmmirror.com/d3-ease@3.0.1:
    resolution: {integrity: sha512-wR/XK3D3XcLIZwpbvQwQ5fK+8Ykds1ip7A2Txe0yxncXSdq1L9skcG7blcedkOX+ZcgxGAmLX1FrRGbADwzi0w==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-ease/-/d3-ease-3.0.1.tgz}
    name: d3-ease
@@ -6462,14 +6417,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-fetch@1.2.0:
-    resolution: {integrity: sha512-yC78NBVcd2zFAyR/HnUiBS7Lf6inSCoWcSxFfw8FYL7ydiqe80SazNwoffcqOfs95XaLo7yebsmQqDKSsXUtvA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-fetch/-/d3-fetch-1.2.0.tgz}
-    name: d3-fetch
-    version: 1.2.0
-    dependencies:
-      d3-dsv: registry.npmmirror.com/d3-dsv@1.2.0
-    dev: false
-
  registry.npmmirror.com/d3-fetch@3.0.1:
    resolution: {integrity: sha512-kpkQIM20n3oLVBKGg6oHrUchHM3xODkTzjMoj7aWQFq5QEM+R6E4WkzT5+tojDY7yjez8KgCBRoj4aEr99Fdqw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-fetch/-/d3-fetch-3.0.1.tgz}
    name: d3-fetch
@@ -6479,17 +6426,6 @@ packages:
      d3-dsv: registry.npmmirror.com/d3-dsv@3.0.1
    dev: false

-  registry.npmmirror.com/d3-force@1.2.1:
-    resolution: {integrity: sha512-HHvehyaiUlVo5CxBJ0yF/xny4xoaxFxDnBXNvNcfW9adORGZfyNF1dj6DGLKyk4Yh3brP/1h3rnDzdIAwL08zg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-force/-/d3-force-1.2.1.tgz}
-    name: d3-force
-    version: 1.2.1
-    dependencies:
-      d3-collection: registry.npmmirror.com/d3-collection@1.0.7
-      d3-dispatch: registry.npmmirror.com/d3-dispatch@1.0.6
-      d3-quadtree: registry.npmmirror.com/d3-quadtree@1.0.7
-      d3-timer: registry.npmmirror.com/d3-timer@1.0.10
-    dev: false
-
  registry.npmmirror.com/d3-force@3.0.0:
    resolution: {integrity: sha512-zxV/SsA+U4yte8051P4ECydjD/S+qeYtnaIyAs9tgHCqfguma/aAQDjo85A9Z6EKhBirHRJHXIgJUlffT4wdLg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-force/-/d3-force-3.0.0.tgz}
    name: d3-force
@@ -6501,12 +6437,6 @@ packages:
      d3-timer: registry.npmmirror.com/d3-timer@3.0.1
    dev: false

-  registry.npmmirror.com/d3-format@1.4.5:
-    resolution: {integrity: sha512-J0piedu6Z8iB6TbIGfZgDzfXxUFN3qQRMofy2oPdXzQibYGqPB/9iMcxr/TGalU+2RsyDO+U4f33id8tbnSRMQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-format/-/d3-format-1.4.5.tgz}
-    name: d3-format
-    version: 1.4.5
-    dev: false
-
  registry.npmmirror.com/d3-format@3.1.0:
    resolution: {integrity: sha512-YyUI6AEuY/Wpt8KWLgZHsIU86atmikuoOmCfommt0LYHiQSPjvX2AcFc38PX0CBpr2RCyZhjex+NS/LPOv6YqA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-format/-/d3-format-3.1.0.tgz}
    name: d3-format
@@ -6514,14 +6444,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-geo@1.12.1:
-    resolution: {integrity: sha512-XG4d1c/UJSEX9NfU02KwBL6BYPj8YKHxgBEw5om2ZnTRSbIcego6dhHwcxuSR3clxh0EpE38os1DVPOmnYtTPg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-geo/-/d3-geo-1.12.1.tgz}
-    name: d3-geo
-    version: 1.12.1
-    dependencies:
-      d3-array: registry.npmmirror.com/d3-array@1.2.4
-    dev: false
-
  registry.npmmirror.com/d3-geo@3.1.0:
    resolution: {integrity: sha512-JEo5HxXDdDYXCaWdwLRt79y7giK8SbhZJbFWXqbRTolCHFI5jRqteLzCsq51NKbUoX0PjBVSohxrx+NoOUujYA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-geo/-/d3-geo-3.1.0.tgz}
    name: d3-geo
@@ -6531,12 +6453,6 @@ packages:
      d3-array: registry.npmmirror.com/d3-array@3.2.4
    dev: false

-  registry.npmmirror.com/d3-hierarchy@1.1.9:
-    resolution: {integrity: sha512-j8tPxlqh1srJHAtxfvOUwKNYJkQuBFdM1+JAUfq6xqH5eAqf93L7oG1NVqDa4CpFZNvnNKtCYEUC8KY9yEn9lQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-hierarchy/-/d3-hierarchy-1.1.9.tgz}
-    name: d3-hierarchy
-    version: 1.1.9
-    dev: false
-
  registry.npmmirror.com/d3-hierarchy@3.1.2:
    resolution: {integrity: sha512-FX/9frcub54beBdugHjDCdikxThEqjnR93Qt7PvQTOHxyiNCAlvMrHhclk3cD5VeAaq9fxmfRp+CnWw9rEMBuA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-hierarchy/-/d3-hierarchy-3.1.2.tgz}
    name: d3-hierarchy
@@ -6544,14 +6460,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-interpolate@1.4.0:
-    resolution: {integrity: sha512-V9znK0zc3jOPV4VD2zZn0sDhZU3WAE2bmlxdIwwQPPzPjvyLkd8B3JUVdS1IDUFDkWZ72c9qnv1GK2ZagTZ8EA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-interpolate/-/d3-interpolate-1.4.0.tgz}
-    name: d3-interpolate
-    version: 1.4.0
-    dependencies:
-      d3-color: registry.npmmirror.com/d3-color@1.4.1
-    dev: false
-
  registry.npmmirror.com/d3-interpolate@3.0.1:
    resolution: {integrity: sha512-3bYs1rOD33uo8aqJfKP3JWPAibgw8Zm2+L9vBKEHJ2Rg+viTR7o5Mmv5mZcieN+FRYaAOWX5SJATX6k1PWz72g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-interpolate/-/d3-interpolate-3.0.1.tgz}
    name: d3-interpolate
@@ -6561,12 +6469,6 @@ packages:
      d3-color: registry.npmmirror.com/d3-color@3.1.0
    dev: false

-  registry.npmmirror.com/d3-path@1.0.9:
-    resolution: {integrity: sha512-VLaYcn81dtHVTjEHd8B+pbe9yHWpXKZUC87PzoFmsFrJqgFwDe/qxfp5MlfsfM1V5E/iVt0MmEbWQ7FVIXh/bg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-path/-/d3-path-1.0.9.tgz}
-    name: d3-path
-    version: 1.0.9
-    dev: false
-
  registry.npmmirror.com/d3-path@3.1.0:
    resolution: {integrity: sha512-p3KP5HCf/bvjBSSKuXid6Zqijx7wIfNW+J/maPs+iwR35at5JCbLUT0LzF1cnjbCHWhqzQTIN2Jpe8pRebIEFQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-path/-/d3-path-3.1.0.tgz}
    name: d3-path
@@ -6574,12 +6476,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-polygon@1.0.6:
-    resolution: {integrity: sha512-k+RF7WvI08PC8reEoXa/w2nSg5AUMTi+peBD9cmFc+0ixHfbs4QmxxkarVal1IkVkgxVuk9JSHhJURHiyHKAuQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-polygon/-/d3-polygon-1.0.6.tgz}
-    name: d3-polygon
-    version: 1.0.6
-    dev: false
-
  registry.npmmirror.com/d3-polygon@3.0.1:
    resolution: {integrity: sha512-3vbA7vXYwfe1SYhED++fPUQlWSYTTGmFmQiany/gdbiWgU/iEyQzyymwL9SkJjFFuCS4902BSzewVGsHHmHtXg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-polygon/-/d3-polygon-3.0.1.tgz}
    name: d3-polygon
@@ -6587,12 +6483,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-quadtree@1.0.7:
-    resolution: {integrity: sha512-RKPAeXnkC59IDGD0Wu5mANy0Q2V28L+fNe65pOCXVdVuTJS3WPKaJlFHer32Rbh9gIo9qMuJXio8ra4+YmIymA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-quadtree/-/d3-quadtree-1.0.7.tgz}
-    name: d3-quadtree
-    version: 1.0.7
-    dev: false
-
  registry.npmmirror.com/d3-quadtree@3.0.1:
    resolution: {integrity: sha512-04xDrxQTDTCFwP5H6hRhsRcb9xxv2RzkcsygFzmkSIOJy3PeRJP7sNk3VRIbKXcog561P9oU0/rVH6vDROAgUw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-quadtree/-/d3-quadtree-3.0.1.tgz}
    name: d3-quadtree
@@ -6600,12 +6490,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-random@1.1.2:
-    resolution: {integrity: sha512-6AK5BNpIFqP+cx/sreKzNjWbwZQCSUatxq+pPRmFIQaWuoD+NrbVWw7YWpHiXpCQ/NanKdtGDuB+VQcZDaEmYQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-random/-/d3-random-1.1.2.tgz}
-    name: d3-random
-    version: 1.1.2
-    dev: false
-
  registry.npmmirror.com/d3-random@3.0.1:
    resolution: {integrity: sha512-FXMe9GfxTxqd5D6jFsQ+DJ8BJS4E/fT5mqqdjovykEB2oFbTMDVdg1MGFxfQW+FBOGoB++k8swBrgwSHT1cUXQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-random/-/d3-random-3.0.1.tgz}
    name: d3-random
@@ -6613,15 +6497,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-scale-chromatic@1.5.0:
-    resolution: {integrity: sha512-ACcL46DYImpRFMBcpk9HhtIyC7bTBR4fNOPxwVSl0LfulDAwyiHyPOTqcDG1+t5d4P9W7t/2NAuWu59aKko/cg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-scale-chromatic/-/d3-scale-chromatic-1.5.0.tgz}
-    name: d3-scale-chromatic
-    version: 1.5.0
-    dependencies:
-      d3-color: registry.npmmirror.com/d3-color@1.4.1
-      d3-interpolate: registry.npmmirror.com/d3-interpolate@1.4.0
-    dev: false
-
  registry.npmmirror.com/d3-scale-chromatic@3.0.0:
    resolution: {integrity: sha512-Lx9thtxAKrO2Pq6OO2Ua474opeziKr279P/TKZsMAhYyNDD3EnCffdbgeSYN5O7m2ByQsxtuP2CSDczNUIZ22g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-scale-chromatic/-/d3-scale-chromatic-3.0.0.tgz}
    name: d3-scale-chromatic
@@ -6632,19 +6507,6 @@ packages:
      d3-interpolate: registry.npmmirror.com/d3-interpolate@3.0.1
    dev: false

-  registry.npmmirror.com/d3-scale@2.2.2:
-    resolution: {integrity: sha512-LbeEvGgIb8UMcAa0EATLNX0lelKWGYDQiPdHj+gLblGVhGLyNbaCn3EvrJf0A3Y/uOOU5aD6MTh5ZFCdEwGiCw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-scale/-/d3-scale-2.2.2.tgz}
-    name: d3-scale
-    version: 2.2.2
-    dependencies:
-      d3-array: registry.npmmirror.com/d3-array@1.2.4
-      d3-collection: registry.npmmirror.com/d3-collection@1.0.7
-      d3-format: registry.npmmirror.com/d3-format@1.4.5
-      d3-interpolate: registry.npmmirror.com/d3-interpolate@1.4.0
-      d3-time: registry.npmmirror.com/d3-time@1.1.0
-      d3-time-format: registry.npmmirror.com/d3-time-format@2.3.0
-    dev: false
-
  registry.npmmirror.com/d3-scale@4.0.2:
    resolution: {integrity: sha512-GZW464g1SH7ag3Y7hXjf8RoUuAFIqklOAq3MRl4OaWabTFJY9PN/E1YklhXLh+OQ3fM9yS2nOkCoS+WLZ6kvxQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-scale/-/d3-scale-4.0.2.tgz}
    name: d3-scale
@@ -6658,12 +6520,6 @@ packages:
      d3-time-format: registry.npmmirror.com/d3-time-format@4.1.0
    dev: false

-  registry.npmmirror.com/d3-selection@1.4.2:
-    resolution: {integrity: sha512-SJ0BqYihzOjDnnlfyeHT0e30k0K1+5sR3d5fNueCNeuhZTnGw4M4o8mqJchSwgKMXCNFo+e2VTChiSJ0vYtXkg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-selection/-/d3-selection-1.4.2.tgz}
-    name: d3-selection
-    version: 1.4.2
-    dev: false
-
  registry.npmmirror.com/d3-selection@3.0.0:
    resolution: {integrity: sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-selection/-/d3-selection-3.0.0.tgz}
    name: d3-selection
@@ -6671,14 +6527,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-shape@1.3.7:
-    resolution: {integrity: sha512-EUkvKjqPFUAZyOlhY5gzCxCeI0Aep04LwIRpsZ/mLFelJiUfnK56jo5JMDSE7yyP2kLSb6LtF+S5chMk7uqPqw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-shape/-/d3-shape-1.3.7.tgz}
-    name: d3-shape
-    version: 1.3.7
-    dependencies:
-      d3-path: registry.npmmirror.com/d3-path@1.0.9
-    dev: false
-
  registry.npmmirror.com/d3-shape@3.2.0:
    resolution: {integrity: sha512-SaLBuwGm3MOViRq2ABk3eLoxwZELpH6zhl3FbAoJ7Vm1gofKx6El1Ib5z23NUEhF9AsGl7y+dzLe5Cw2AArGTA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-shape/-/d3-shape-3.2.0.tgz}
    name: d3-shape
@@ -6688,14 +6536,6 @@ packages:
      d3-path: registry.npmmirror.com/d3-path@3.1.0
    dev: false

-  registry.npmmirror.com/d3-time-format@2.3.0:
-    resolution: {integrity: sha512-guv6b2H37s2Uq/GefleCDtbe0XZAuy7Wa49VGkPVPMfLL9qObgBST3lEHJBMUp8S7NdLQAGIvr2KXk8Hc98iKQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-time-format/-/d3-time-format-2.3.0.tgz}
-    name: d3-time-format
-    version: 2.3.0
-    dependencies:
-      d3-time: registry.npmmirror.com/d3-time@1.1.0
-    dev: false
-
  registry.npmmirror.com/d3-time-format@4.1.0:
    resolution: {integrity: sha512-dJxPBlzC7NugB2PDLwo9Q8JiTR3M3e4/XANkreKSUxF8vvXKqm1Yfq4Q5dl8budlunRVlUUaDUgFt7eA8D6NLg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-time-format/-/d3-time-format-4.1.0.tgz}
    name: d3-time-format
@@ -6705,12 +6545,6 @@ packages:
      d3-time: registry.npmmirror.com/d3-time@3.1.0
    dev: false

-  registry.npmmirror.com/d3-time@1.1.0:
-    resolution: {integrity: sha512-Xh0isrZ5rPYYdqhAVk8VLnMEidhz5aP7htAADH6MfzgmmicPkTo8LhkLxci61/lCB7n7UmE3bN0leRt+qvkLxA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-time/-/d3-time-1.1.0.tgz}
-    name: d3-time
-    version: 1.1.0
-    dev: false
-
  registry.npmmirror.com/d3-time@3.1.0:
    resolution: {integrity: sha512-VqKjzBLejbSMT4IgbmVgDjpkYrNWUYJnbCGo874u7MMKIWsILRX+OpX/gTk8MqjpT1A/c6HY2dCA77ZN0lkQ2Q==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-time/-/d3-time-3.1.0.tgz}
    name: d3-time
@@ -6720,12 +6554,6 @@ packages:
      d3-array: registry.npmmirror.com/d3-array@3.2.4
    dev: false

-  registry.npmmirror.com/d3-timer@1.0.10:
-    resolution: {integrity: sha512-B1JDm0XDaQC+uvo4DT79H0XmBskgS3l6Ve+1SBCfxgmtIb1AVrPIoqd+nPSv+loMX8szQ0sVUhGngL7D5QPiXw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-timer/-/d3-timer-1.0.10.tgz}
-    name: d3-timer
-    version: 1.0.10
-    dev: false
-
  registry.npmmirror.com/d3-timer@3.0.1:
    resolution: {integrity: sha512-ndfJ/JxxMd3nw31uyKoY2naivF+r29V+Lc0svZxe1JvvIRmi8hUsrMvdOwgS1o6uBHmiz91geQ0ylPP0aj1VUA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-timer/-/d3-timer-3.0.1.tgz}
    name: d3-timer
@@ -6733,19 +6561,6 @@ packages:
    engines: {node: '>=12'}
    dev: false

-  registry.npmmirror.com/d3-transition@1.3.2:
-    resolution: {integrity: sha512-sc0gRU4PFqZ47lPVHloMn9tlPcv8jxgOQg+0zjhfZXMQuvppjG6YuwdMBE0TuqCZjeJkLecku/l9R0JPcRhaDA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-transition/-/d3-transition-1.3.2.tgz}
-    name: d3-transition
-    version: 1.3.2
-    dependencies:
-      d3-color: registry.npmmirror.com/d3-color@1.4.1
-      d3-dispatch: registry.npmmirror.com/d3-dispatch@1.0.6
-      d3-ease: registry.npmmirror.com/d3-ease@1.0.7
-      d3-interpolate: registry.npmmirror.com/d3-interpolate@1.4.0
-      d3-selection: registry.npmmirror.com/d3-selection@1.4.2
-      d3-timer: registry.npmmirror.com/d3-timer@1.0.10
-    dev: false
-
  registry.npmmirror.com/d3-transition@3.0.1(d3-selection@3.0.0):
    resolution: {integrity: sha512-ApKvfjsSR6tg06xrL434C0WydLr7JewBB3V+/39RMHsaXTOG0zmt/OAXeng5M5LBm0ojmxJrpomQVZ1aPvBL4w==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-transition/-/d3-transition-3.0.1.tgz}
    id: registry.npmmirror.com/d3-transition/3.0.1
@@ -6763,24 +6578,6 @@ packages:
      d3-timer: registry.npmmirror.com/d3-timer@3.0.1
    dev: false

-  registry.npmmirror.com/d3-voronoi@1.1.4:
-    resolution: {integrity: sha512-dArJ32hchFsrQ8uMiTBLq256MpnZjeuBtdHpaDlYuQyjU0CVzCJl/BVW+SkszaAeH95D/8gxqAhgx0ouAWAfRg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-voronoi/-/d3-voronoi-1.1.4.tgz}
-    name: d3-voronoi
-    version: 1.1.4
-    dev: false
-
-  registry.npmmirror.com/d3-zoom@1.8.3:
-    resolution: {integrity: sha512-VoLXTK4wvy1a0JpH2Il+F2CiOhVu7VRXWF5M/LroMIh3/zBAC3WAt7QoIvPibOavVo20hN6/37vwAsdBejLyKQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-zoom/-/d3-zoom-1.8.3.tgz}
-    name: d3-zoom
-    version: 1.8.3
-    dependencies:
-      d3-dispatch: registry.npmmirror.com/d3-dispatch@1.0.6
-      d3-drag: registry.npmmirror.com/d3-drag@1.2.5
-      d3-interpolate: registry.npmmirror.com/d3-interpolate@1.4.0
-      d3-selection: registry.npmmirror.com/d3-selection@1.4.2
-      d3-transition: registry.npmmirror.com/d3-transition@1.3.2
-    dev: false
-
  registry.npmmirror.com/d3-zoom@3.0.0:
    resolution: {integrity: sha512-b8AmV3kfQaqWAuacbPuNbL6vahnOJflOhexLzMMNLga62+/nh0JzvJ0aO/5a5MVgUFGS7Hu1P9P03o3fJkDCyw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3-zoom/-/d3-zoom-3.0.0.tgz}
    name: d3-zoom
@@ -6794,44 +6591,6 @@ packages:
      d3-transition: registry.npmmirror.com/d3-transition@3.0.1(d3-selection@3.0.0)
    dev: false

-  registry.npmmirror.com/d3@5.16.0:
-    resolution: {integrity: sha512-4PL5hHaHwX4m7Zr1UapXW23apo6pexCgdetdJ5kTmADpG/7T9Gkxw0M0tf/pjoB63ezCCm0u5UaFYy2aMt0Mcw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3/-/d3-5.16.0.tgz}
-    name: d3
-    version: 5.16.0
-    dependencies:
-      d3-array: registry.npmmirror.com/d3-array@1.2.4
-      d3-axis: registry.npmmirror.com/d3-axis@1.0.12
-      d3-brush: registry.npmmirror.com/d3-brush@1.1.6
-      d3-chord: registry.npmmirror.com/d3-chord@1.0.6
-      d3-collection: registry.npmmirror.com/d3-collection@1.0.7
-      d3-color: registry.npmmirror.com/d3-color@1.4.1
-      d3-contour: registry.npmmirror.com/d3-contour@1.3.2
-      d3-dispatch: registry.npmmirror.com/d3-dispatch@1.0.6
-      d3-drag: registry.npmmirror.com/d3-drag@1.2.5
-      d3-dsv: registry.npmmirror.com/d3-dsv@1.2.0
-      d3-ease: registry.npmmirror.com/d3-ease@1.0.7
-      d3-fetch: registry.npmmirror.com/d3-fetch@1.2.0
-      d3-force: registry.npmmirror.com/d3-force@1.2.1
-      d3-format: registry.npmmirror.com/d3-format@1.4.5
-      d3-geo: registry.npmmirror.com/d3-geo@1.12.1
-      d3-hierarchy: registry.npmmirror.com/d3-hierarchy@1.1.9
-      d3-interpolate: registry.npmmirror.com/d3-interpolate@1.4.0
-      d3-path: registry.npmmirror.com/d3-path@1.0.9
-      d3-polygon: registry.npmmirror.com/d3-polygon@1.0.6
-      d3-quadtree: registry.npmmirror.com/d3-quadtree@1.0.7
-      d3-random: registry.npmmirror.com/d3-random@1.1.2
-      d3-scale: registry.npmmirror.com/d3-scale@2.2.2
-      d3-scale-chromatic: registry.npmmirror.com/d3-scale-chromatic@1.5.0
-      d3-selection: registry.npmmirror.com/d3-selection@1.4.2
-      d3-shape: registry.npmmirror.com/d3-shape@1.3.7
-      d3-time: registry.npmmirror.com/d3-time@1.1.0
-      d3-time-format: registry.npmmirror.com/d3-time-format@2.3.0
-      d3-timer: registry.npmmirror.com/d3-timer@1.0.10
-      d3-transition: registry.npmmirror.com/d3-transition@1.3.2
-      d3-voronoi: registry.npmmirror.com/d3-voronoi@1.1.4
-      d3-zoom: registry.npmmirror.com/d3-zoom@1.8.3
-    dev: false
-
  registry.npmmirror.com/d3@7.8.5:
    resolution: {integrity: sha512-JgoahDG51ncUfJu6wX/1vWQEqOflgXyl4MaHqlcSruTez7yhaRKR9i8VjjcQGeS2en/jnFivXuaIMnseMMt0XA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/d3/-/d3-7.8.5.tgz}
    name: d3
@@ -6870,24 +6629,13 @@ packages:
      d3-zoom: registry.npmmirror.com/d3-zoom@3.0.0
    dev: false

-  registry.npmmirror.com/dagre-d3@0.6.4:
-    resolution: {integrity: sha512-e/6jXeCP7/ptlAM48clmX4xTZc5Ek6T6kagS7Oz2HrYSdqcLZFLqpAfh7ldbZRFfxCZVyh61NEPR08UQRVxJzQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/dagre-d3/-/dagre-d3-0.6.4.tgz}
-    name: dagre-d3
-    version: 0.6.4
+  registry.npmmirror.com/dagre-d3-es@7.0.10:
+    resolution: {integrity: sha512-qTCQmEhcynucuaZgY5/+ti3X/rnszKZhEQH/ZdWdtP1tA/y3VoHJzcVrO9pjjJCNpigfscAtoUB5ONcd2wNn0A==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/dagre-d3-es/-/dagre-d3-es-7.0.10.tgz}
+    name: dagre-d3-es
+    version: 7.0.10
    dependencies:
-      d3: registry.npmmirror.com/d3@5.16.0
-      dagre: registry.npmmirror.com/dagre@0.8.5
-      graphlib: registry.npmmirror.com/graphlib@2.1.8
-      lodash: registry.npmmirror.com/lodash@4.17.21
-    dev: false
-
-  registry.npmmirror.com/dagre@0.8.5:
-    resolution: {integrity: sha512-/aTqmnRta7x7MCCpExk7HQL2O4owCT2h8NT//9I1OQ9vt29Pa0BzSAkR5lwFUcQ7491yVi/3CXU9jQ5o0Mn2Sw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/dagre/-/dagre-0.8.5.tgz}
-    name: dagre
-    version: 0.8.5
-    dependencies:
-      graphlib: registry.npmmirror.com/graphlib@2.1.8
-      lodash: registry.npmmirror.com/lodash@4.17.21
+      d3: registry.npmmirror.com/d3@7.8.5
+      lodash-es: registry.npmmirror.com/lodash-es@4.17.21
    dev: false

  registry.npmmirror.com/damerau-levenshtein@1.0.8:
@@ -7185,10 +6933,10 @@ packages:
      domelementtype: registry.npmmirror.com/domelementtype@2.3.0
    dev: true

-  registry.npmmirror.com/dompurify@2.3.3:
-    resolution: {integrity: sha512-dqnqRkPMAjOZE0FogZ+ceJNM2dZ3V/yNOuFB7+39qpO93hHhfRpHw3heYQC7DPK9FqbQTfBKUJhiSfz4MvXYwg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/dompurify/-/dompurify-2.3.3.tgz}
+  registry.npmmirror.com/dompurify@3.0.3:
+    resolution: {integrity: sha512-axQ9zieHLnAnHh0sfAamKYiqXMJAVwu+LM/alQ7WDagoWessyWvMSFyW65CqF3owufNu8HBcE4cM2Vflu7YWcQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/dompurify/-/dompurify-3.0.3.tgz}
    name: dompurify
-    version: 2.3.3
+    version: 3.0.3
    dev: false

  registry.npmmirror.com/domutils@2.8.0:
@@ -7228,6 +6976,12 @@ packages:
    name: electron-to-chromium
    version: 1.4.425

+  registry.npmmirror.com/elkjs@0.8.2:
+    resolution: {integrity: sha512-L6uRgvZTH+4OF5NE/MBbzQx/WYpru1xCBE9respNj6qznEewGUIfhzmm7horWWxbNO2M0WckQypGctR8lH79xQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/elkjs/-/elkjs-0.8.2.tgz}
+    name: elkjs
+    version: 0.8.2
+    dev: false
+
  registry.npmmirror.com/emoji-regex@9.2.2:
    resolution: {integrity: sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/emoji-regex/-/emoji-regex-9.2.2.tgz}
    name: emoji-regex
@@ -7753,13 +7507,6 @@ packages:
    version: 2.0.3
    engines: {node: '>=0.10.0'}

-  registry.npmmirror.com/eventsource-parser@0.1.0:
-    resolution: {integrity: sha512-M9QjFtEIkwytUarnx113HGmgtk52LSn3jNAtnWKi3V+b9rqSfQeVdLsaD5AG/O4IrGQwmAAHBIsqbmURPTd2rA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/eventsource-parser/-/eventsource-parser-0.1.0.tgz}
-    name: eventsource-parser
-    version: 0.1.0
-    engines: {node: '>=14.18'}
-    dev: false
-
  registry.npmmirror.com/execa@5.1.1:
    resolution: {integrity: sha512-8uSpZZocAZRBAPIEINJj3Lo9HyGitllczc27Eh5YYojjMFMn8yHMDMaUHE2Jqfq05D/wucwI4JGURyXt1vchyg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/execa/-/execa-5.1.1.tgz}
    name: execa
@@ -8253,20 +8000,6 @@ packages:
    version: 1.0.4
    dev: true

-  registry.npmmirror.com/graphemer@1.4.0:
-    resolution: {integrity: sha512-EtKwoO6kxCL9WO5xipiHTZlSzBm7WLT627TqC/uVRd0HKmq8NXyebnNYxDoBi7wt8eTWrUrKXCOVaFq9x1kgag==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/graphemer/-/graphemer-1.4.0.tgz}
-    name: graphemer
-    version: 1.4.0
-    dev: false
-
-  registry.npmmirror.com/graphlib@2.1.8:
-    resolution: {integrity: sha512-jcLLfkpoVGmH7/InMC/1hIvOPSUh38oJtGhvrOFGzioE1DZ+0YW16RgmOJhHiuWTvGiJQ9Z1Ik43JvkRPRvE+A==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/graphlib/-/graphlib-2.1.8.tgz}
-    name: graphlib
-    version: 2.1.8
-    dependencies:
-      lodash: registry.npmmirror.com/lodash@4.17.21
-    dev: false
-
  registry.npmmirror.com/has-bigints@1.0.2:
    resolution: {integrity: sha512-tSvCKtBr9lkF0Ex0aQiP9N+OpV4zi2r/Nee5VkRDbaqv35RLYMzbwQfFSZZH0kR+Rd6302UJZ2p/bJCEoR3VoQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/has-bigints/-/has-bigints-1.0.2.tgz}
    name: has-bigints
@@ -8401,6 +8134,12 @@ packages:
      space-separated-tokens: registry.npmmirror.com/space-separated-tokens@2.0.2
    dev: false

+  registry.npmmirror.com/heap@0.2.7:
+    resolution: {integrity: sha512-2bsegYkkHO+h/9MGbn6KWcE45cHZgPANo5LXF7EvWdT0yT2EguSVO1nDgU5c8+ZOPwp2vMNa7YFsJhVcDR9Sdg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/heap/-/heap-0.2.7.tgz}
+    name: heap
+    version: 0.2.7
+    dev: false
+
  registry.npmmirror.com/hexoid@1.0.0:
    resolution: {integrity: sha512-QFLV0taWQOZtvIRIAdBChesmogZrtuXvVWsFHZTk2SU+anspqZ2vMnoLg7IE1+Uk16N19APic1BuF8bC8c2m5g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/hexoid/-/hexoid-1.0.0.tgz}
    name: hexoid
@@ -9122,10 +8861,10 @@ packages:
      commander: registry.npmmirror.com/commander@8.3.0
    dev: false

-  registry.npmmirror.com/khroma@1.4.1:
-    resolution: {integrity: sha512-+GmxKvmiRuCcUYDgR7g5Ngo0JEDeOsGdNONdU2zsiBQaK4z19Y2NvXqfEDE0ZiIrg45GTZyAnPLVsLZZACYm3Q==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/khroma/-/khroma-1.4.1.tgz}
+  registry.npmmirror.com/khroma@2.0.0:
+    resolution: {integrity: sha512-2J8rDNlQWbtiNYThZRvmMv5yt44ZakX+Tz5ZIp/mN1pt4snn+m030Va5Z4v8xA0cQFDXBwO/8i42xL4QPsVk3g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/khroma/-/khroma-2.0.0.tgz}
    name: khroma
-    version: 1.4.1
+    version: 2.0.0
    dev: false

  registry.npmmirror.com/kitx@2.1.0:
@@ -9157,6 +8896,18 @@ packages:
      language-subtag-registry: registry.npmmirror.com/language-subtag-registry@0.3.22
    dev: true

+  registry.npmmirror.com/layout-base@1.0.2:
+    resolution: {integrity: sha512-8h2oVEZNktL4BH2JCOI90iD1yXwL6iNW7KcCKT2QZgQJR2vbqDsldCTPRU9NifTCqHZci57XvQQ15YTu+sTYPg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/layout-base/-/layout-base-1.0.2.tgz}
+    name: layout-base
+    version: 1.0.2
+    dev: false
+
+  registry.npmmirror.com/layout-base@2.0.1:
+    resolution: {integrity: sha512-dp3s92+uNI1hWIpPGH3jK2kxE2lMjdXdr+DH8ynZHpd6PUlH6x6cbuXnoMmiNumznqaNO31xu9e79F0uuZ0JFg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/layout-base/-/layout-base-2.0.1.tgz}
+    name: layout-base
+    version: 2.0.1
+    dev: false
+
  registry.npmmirror.com/levn@0.3.0:
    resolution: {integrity: sha512-0OO4y2iOHix2W6ujICbKIaEQXvFQHue65vUG3pb5EUomzPI90z9hsA1VsO/dbIIpC53J8gxM9Q4Oho0jrCM/yA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/levn/-/levn-0.3.0.tgz}
    name: levn
@@ -9199,6 +8950,12 @@ packages:
      p-locate: registry.npmmirror.com/p-locate@5.0.0
    dev: true

+  registry.npmmirror.com/lodash-es@4.17.21:
+    resolution: {integrity: sha512-mKnC+QJ9pWVzv+C4/U3rRsHapFfHvQFoFB92e52xeyGMcX6/OlIl78je1u8vePzYZSkkogMPJ2yjxxsb89cxyw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/lodash-es/-/lodash-es-4.17.21.tgz}
+    name: lodash-es
+    version: 4.17.21
+    dev: false
+
  registry.npmmirror.com/lodash.debounce@4.0.8:
    resolution: {integrity: sha512-FT1yDzDYEoYWhnSGnpE/4Kj1fLZkDFyqRb7fNt6FdYOSxlUWAtp42Eh6Wb0rGIv/m9Bgo7x4GhQbm5Ys4SG5ow==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/lodash.debounce/-/lodash.debounce-4.0.8.tgz}
    name: lodash.debounce
@@ -9414,6 +9171,15 @@ packages:
      mdast-util-to-markdown: registry.npmmirror.com/mdast-util-to-markdown@1.5.0
    dev: false

+  registry.npmmirror.com/mdast-util-newline-to-break@1.0.0:
+    resolution: {integrity: sha512-491LcYv3gbGhhCrLoeALncQmega2xPh+m3gbsIhVsOX4sw85+ShLFPvPyibxc1Swx/6GtzxgVodq+cGa/47ULg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/mdast-util-newline-to-break/-/mdast-util-newline-to-break-1.0.0.tgz}
+    name: mdast-util-newline-to-break
+    version: 1.0.0
+    dependencies:
+      '@types/mdast': registry.npmmirror.com/@types/mdast@3.0.11
+      mdast-util-find-and-replace: registry.npmmirror.com/mdast-util-find-and-replace@2.2.2
+    dev: false
+
  registry.npmmirror.com/mdast-util-phrasing@3.0.1:
    resolution: {integrity: sha512-WmI1gTXUBJo4/ZmSk79Wcb2HcjPJBzM1nlI/OUWA8yk2X9ik3ffNbBGsU+09BFmXaL1IBb9fiuvq6/KMiNycSg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/mdast-util-phrasing/-/mdast-util-phrasing-3.0.1.tgz}
    name: mdast-util-phrasing
@@ -9487,20 +9253,30 @@ packages:
    engines: {node: '>= 8'}
    dev: true

-  registry.npmmirror.com/mermaid@8.13.5:
-    resolution: {integrity: sha512-xLINkCQqZZfqDaLpQVy9BOsws8jT6sLBE2ympDEg4G2uvUu1n61j/h3OFDaA2N4dpZyN7q2pAYkDQ4yywruivA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/mermaid/-/mermaid-8.13.5.tgz}
+  registry.npmmirror.com/mermaid@10.2.3:
+    resolution: {integrity: sha512-cMVE5s9PlQvOwfORkyVpr5beMsLdInrycAosdr+tpZ0WFjG4RJ/bUHST7aTgHNJbujHkdBRAm+N50P3puQOfPw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/mermaid/-/mermaid-10.2.3.tgz}
    name: mermaid
-    version: 8.13.5
+    version: 10.2.3
    dependencies:
-      '@braintree/sanitize-url': registry.npmmirror.com/@braintree/sanitize-url@3.1.0
+      '@braintree/sanitize-url': registry.npmmirror.com/@braintree/sanitize-url@6.0.2
+      cytoscape: registry.npmmirror.com/cytoscape@3.25.0
+      cytoscape-cose-bilkent: registry.npmmirror.com/cytoscape-cose-bilkent@4.1.0(cytoscape@3.25.0)
+      cytoscape-fcose: registry.npmmirror.com/cytoscape-fcose@2.2.0(cytoscape@3.25.0)
      d3: registry.npmmirror.com/d3@7.8.5
-      dagre: registry.npmmirror.com/dagre@0.8.5
-      dagre-d3: registry.npmmirror.com/dagre-d3@0.6.4
-      dompurify: registry.npmmirror.com/dompurify@2.3.3
-      graphlib: registry.npmmirror.com/graphlib@2.1.8
-      khroma: registry.npmmirror.com/khroma@1.4.1
-      moment-mini: registry.npmmirror.com/moment-mini@2.29.4
+      dagre-d3-es: registry.npmmirror.com/dagre-d3-es@7.0.10
+      dayjs: registry.npmmirror.com/dayjs@1.11.7
+      dompurify: registry.npmmirror.com/dompurify@3.0.3
+      elkjs: registry.npmmirror.com/elkjs@0.8.2
+      khroma: registry.npmmirror.com/khroma@2.0.0
+      lodash-es: registry.npmmirror.com/lodash-es@4.17.21
+      mdast-util-from-markdown: registry.npmmirror.com/mdast-util-from-markdown@1.3.1
+      non-layered-tidy-tree-layout: registry.npmmirror.com/non-layered-tidy-tree-layout@2.0.2
      stylis: registry.npmmirror.com/stylis@4.2.0
+      ts-dedent: registry.npmmirror.com/ts-dedent@2.2.0
+      uuid: registry.npmmirror.com/uuid@9.0.0
+      web-worker: registry.npmmirror.com/web-worker@1.2.0
+    transitivePeerDependencies:
+      - supports-color
    dev: false

  registry.npmmirror.com/micromark-core-commonmark@1.1.0:
@@ -9890,12 +9666,6 @@ packages:
      minimist: registry.npmmirror.com/minimist@1.2.8
    dev: false

-  registry.npmmirror.com/moment-mini@2.29.4:
-    resolution: {integrity: sha512-uhXpYwHFeiTbY9KSgPPRoo1nt8OxNVdMVoTBYHfSEKeRkIkwGpO+gERmhuhBtzfaeOyTkykSrm2+noJBgqt3Hg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/moment-mini/-/moment-mini-2.29.4.tgz}
-    name: moment-mini
-    version: 2.29.4
-    dev: false
-
  registry.npmmirror.com/mongodb-connection-string-url@2.6.0:
    resolution: {integrity: sha512-WvTZlI9ab0QYtTYnuMLgobULWhokRjtC7db9LtcVfJ+Hsnyr5eo6ZtNAt3Ly24XZScGMelOcGtm7lSn0332tPQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/mongodb-connection-string-url/-/mongodb-connection-string-url-2.6.0.tgz}
    name: mongodb-connection-string-url
@@ -10091,6 +9861,12 @@ packages:
    engines: {node: '>=6.0.0'}
    dev: false

+  registry.npmmirror.com/non-layered-tidy-tree-layout@2.0.2:
+    resolution: {integrity: sha512-gkXMxRzUH+PB0ax9dUN0yYF0S25BqeAYqhgMaLUFmpXLEk7Fcu8f4emJuOAY0V8kjDICxROIKsTAKsV/v355xw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/non-layered-tidy-tree-layout/-/non-layered-tidy-tree-layout-2.0.2.tgz}
+    name: non-layered-tidy-tree-layout
+    version: 2.0.2
+    dev: false
+
  registry.npmmirror.com/normalize-path@3.0.0:
    resolution: {integrity: sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/normalize-path/-/normalize-path-3.0.0.tgz}
    name: normalize-path
@@ -10249,10 +10025,10 @@ packages:
      is-wsl: registry.npmmirror.com/is-wsl@2.2.0
    dev: true

-  registry.npmmirror.com/openai@3.2.1:
-    resolution: {integrity: sha512-762C9BNlJPbjjlWZi4WYK9iM2tAVAv0uUp1UmI34vb0CN5T2mjB/qM6RYBmNKMh/dN9fC+bxqPwWJZUTWW052A==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/openai/-/openai-3.2.1.tgz}
+  registry.npmmirror.com/openai@3.3.0:
+    resolution: {integrity: sha512-uqxI/Au+aPRnsaQRe8CojU0eCR7I0mBiKjD3sNMzY6DaC1ZVrc85u98mtJW6voDug8fgGN+DIZmTDxTthxb7dQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/openai/-/openai-3.3.0.tgz}
    name: openai
-    version: 3.2.1
+    version: 3.3.0
    dependencies:
      axios: registry.npmmirror.com/axios@0.26.1
      form-data: registry.npmmirror.com/form-data@4.0.0
@@ -10808,11 +10584,11 @@ packages:
    version: 18.2.0
    dev: false

-  registry.npmmirror.com/react-markdown@8.0.5(@types/react@18.0.28)(react@18.2.0):
-    resolution: {integrity: sha512-jGJolWWmOWAvzf+xMdB9zwStViODyyFQhNB/bwCerbBKmrTmgmA599CGiOlP58OId1IMoIRsA8UdI1Lod4zb5A==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/react-markdown/-/react-markdown-8.0.5.tgz}
-    id: registry.npmmirror.com/react-markdown/8.0.5
+  registry.npmmirror.com/react-markdown@8.0.7(@types/react@18.0.28)(react@18.2.0):
+    resolution: {integrity: sha512-bvWbzG4MtOU62XqBx3Xx+zB2raaFFsq4mYiAzfjXJMEz2sixgeAfraA3tvzULF02ZdOMUOKTBFFaZJDDrq+BJQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/react-markdown/-/react-markdown-8.0.7.tgz}
+    id: registry.npmmirror.com/react-markdown/8.0.7
    name: react-markdown
-    version: 8.0.5
+    version: 8.0.7
    peerDependencies:
      '@types/react': '>=16'
      react: '>=16'
@@ -11069,6 +10845,16 @@ packages:
      unified: registry.npmmirror.com/unified@10.1.2
    dev: false

+  registry.npmmirror.com/remark-breaks@3.0.3:
+    resolution: {integrity: sha512-C7VkvcUp1TPUc2eAYzsPdaUh8Xj4FSbQnYA5A9f80diApLZscTDeG7efiWP65W8hV2sEy3JuGVU0i6qr5D8Hug==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/remark-breaks/-/remark-breaks-3.0.3.tgz}
+    name: remark-breaks
+    version: 3.0.3
+    dependencies:
+      '@types/mdast': registry.npmmirror.com/@types/mdast@3.0.11
+      mdast-util-newline-to-break: registry.npmmirror.com/mdast-util-newline-to-break@1.0.0
+      unified: registry.npmmirror.com/unified@10.1.2
+    dev: false
+
  registry.npmmirror.com/remark-gfm@3.0.1:
    resolution: {integrity: sha512-lEFDoi2PICJyNrACFOfDD3JlLkuSbOa5Wd8EPt06HUdptv8Gn0bxYTdbU/XXQ3swAPkEaGxxPN9cbnMHvVu1Ig==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/remark-gfm/-/remark-gfm-3.0.1.tgz}
    name: remark-gfm
@@ -11777,6 +11563,13 @@ packages:
    version: 2.1.0
    dev: false

+  registry.npmmirror.com/ts-dedent@2.2.0:
+    resolution: {integrity: sha512-q5W7tVM71e2xjHZTlgfTDoPF/SmqKG5hddq9SzR49CH2hayqRKJtQ4mtRlSxKaJlR/+9rEM+mnBHf7I2/BQcpQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/ts-dedent/-/ts-dedent-2.2.0.tgz}
+    name: ts-dedent
+    version: 2.2.0
+    engines: {node: '>=6.10'}
+    dev: false
+
  registry.npmmirror.com/tsconfig-paths@3.14.2:
    resolution: {integrity: sha512-o/9iXgCYc5L/JxCHPe3Hvh8Q/2xm5Z+p18PESBU6Ff33695QnCHBEjcytY2q19ua7Mbl/DavtBOLq+oG0RCL+g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/tsconfig-paths/-/tsconfig-paths-3.14.2.tgz}
    name: tsconfig-paths
@@ -12156,6 +11949,13 @@ packages:
    dev: false
    optional: true

+  registry.npmmirror.com/uuid@9.0.0:
+    resolution: {integrity: sha512-MXcSTerfPa4uqyzStbRoTgt5XIe3x5+42+q1sDuy3R5MDk66URdLMOZe5aPX/SQd+kuYAh0FdP/pO28IkQyTeg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/uuid/-/uuid-9.0.0.tgz}
+    name: uuid
+    version: 9.0.0
+    hasBin: true
+    dev: false
+
  registry.npmmirror.com/uvu@0.5.6:
    resolution: {integrity: sha512-+g8ENReyr8YsOc6fv/NVJs2vFdHBnBNdfE49rshrTzDWOlUx4Gq7KOS2GD8eqhy2j+Ejq29+SbKH8yjkAqXqoA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/uvu/-/uvu-0.5.6.tgz}
    name: uvu
@@ -12222,6 +12022,12 @@ packages:
    version: 2.0.1
    dev: false

+  registry.npmmirror.com/web-worker@1.2.0:
+    resolution: {integrity: sha512-PgF341avzqyx60neE9DD+XS26MMNMoUQRz9NOZwW32nPQrF6p77f1htcnjBSEV8BGMKZ16choqUG4hyI0Hx7mA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/web-worker/-/web-worker-1.2.0.tgz}
+    name: web-worker
+    version: 1.2.0
+    dev: false
+
  registry.npmmirror.com/webidl-conversions@7.0.0:
    resolution: {integrity: sha512-VwddBukDzu71offAQR975unBIGqfKZpM+8ZX6ySk8nYhVoo5CYaZyzt3YBvYtRtO+aoGlqxPg/B87NGVZ/fu6g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/webidl-conversions/-/webidl-conversions-7.0.0.tgz}
    name: webidl-conversions
--- a/client/public/docs/chatProblem.md
+++ b/client/public/docs/chatProblem.md
@@ -7,10 +7,10 @@
 | 计费项 | 价格: 元/ 1K tokens（包含上下文）|
 | --- | --- |
 | 知识库 - 索引 | 0.001 |
-| chatgpt - 对话 | 0.022 |
-| chatgpt16K - 对话 | 0.025 |
-| gpt4 - 对话 | 0.5 |
-| 文件拆分 | 0.025 |
+| chatgpt - 对话 | 0.015 |
+| chatgpt16K - 对话 | 0.015 |
+| gpt4 - 对话 | 0.1 |
+| 文件拆分 | 0.015 |

 **其他问题**
 | 交流群 | 小助手 |
--- a/client/public/docs/intro.md
+++ b/client/public/docs/intro.md
@@ -19,10 +19,10 @@ FastGpt 项目完全开源，可随意私有化部署，去除平台风险忧虑
 | 计费项 | 价格: 元/ 1K tokens（包含上下文）|
 | --- | --- |
 | 知识库 - 索引 | 0.001 |
-| chatgpt - 对话 | 0.022 |
-| chatgpt16K - 对话 | 0.025 |
-| gpt4 - 对话 | 0.5 |
-| 文件拆分 | 0.025 |
+| chatgpt - 对话 | 0.015 |
+| chatgpt16K - 对话 | 0.015 |
+| gpt4 - 对话 | 0.1 |
+| 文件拆分 | 0.015 |

 ### 交流群/问题反馈

--- a/client/public/docs/versionIntro.md
+++ b/client/public/docs/versionIntro.md
@@ -1,5 +1,7 @@
-### Fast GPT V3.8.4
+### Fast GPT V3.9

-1. 新增 - mermaid 导图兼容，可以在应用市场 'mermaid 导图' 进行体验。
-2. 优化 - 部分 UI 和账号页。
-2. 优化 - 知识库搜索速度
+1. 限时优惠活动，更低价的 tokens。
+2. 新增 - 直接分段训练，可调节段落大小。
+3. 优化 - tokens 计算性能。
+4. 优化 - key 池管理，结合 one-api 项目，实现更方便的 key 池管理，具体参考[docker 部署 FastGpt](https://github.com/c121914yu/FastGPT/blob/main/docs/deploy/docker.md)
+5. 新增 - V2 版 OpenAPI，可以在任意第三方套壳 ChatGpt 项目中直接使用 FastGpt 的应用，注意！是直接，不需要改任何代码。具体参考[API 文档中《在第三方应用中使用 FastGpt》](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh)
--- a/client/public/js/baidutongji.js
+++ b/client/public/js/baidutongji.js
@@ -0,0 +1,8 @@
+var _hmt = _hmt || [];
+
+(function () {
+  const hm = document.createElement('script');
+  hm.src = 'https://hm.baidu.com/hm.js?a5357e9dab086658bac0b6faf148882e';
+  const s = document.getElementsByTagName('script')[0];
+  s.parentNode.insertBefore(hm, s);
+})();
--- a/client/src/api/fetch.ts
+++ b/client/src/api/fetch.ts
@@ -1,67 +1,103 @@
-import { GUIDE_PROMPT_HEADER, NEW_CHATID_HEADER, QUOTE_LEN_HEADER } from '@/constants/chat';
+import { Props, ChatResponseType } from '@/pages/api/openapi/v1/chat/completions';
+import { sseResponseEventEnum } from '@/constants/chat';
+import { getErrText } from '@/utils/tools';
+import { parseStreamChunk } from '@/utils/adapt';

 interface StreamFetchProps {
-  url: string;
-  data: any;
+  data: Props;
  onMessage: (text: string) => void;
  abortSignal: AbortController;
 }
-export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
-  new Promise<{
-    responseText: string;
-    newChatId: string;
-    systemPrompt: string;
-    quoteLen: number;
-  }>(async (resolve, reject) => {
-    try {
-      const res = await fetch(url, {
-        method: 'POST',
-        headers: {
-          'Content-Type': 'application/json'
-        },
-        body: JSON.stringify(data),
-        signal: abortSignal.signal
-      });
-      const reader = res.body?.getReader();
-      if (!reader) return;
+export const streamFetch = ({ data, onMessage, abortSignal }: StreamFetchProps) =>
+  new Promise<ChatResponseType & { responseText: string; errMsg: string }>(
+    async (resolve, reject) => {
+      try {
+        const response = await window.fetch('/api/openapi/v1/chat/completions', {
+          method: 'POST',
+          headers: {
+            'Content-Type': 'application/json'
+          },
+          signal: abortSignal.signal,
+          body: JSON.stringify({
+            ...data,
+            stream: true
+          })
+        });

-      const decoder = new TextDecoder();
-
-      const newChatId = decodeURIComponent(res.headers.get(NEW_CHATID_HEADER) || '');
-      const systemPrompt = decodeURIComponent(res.headers.get(GUIDE_PROMPT_HEADER) || '').trim();
-      const quoteLen = res.headers.get(QUOTE_LEN_HEADER)
-        ? Number(res.headers.get(QUOTE_LEN_HEADER))
-        : 0;
-
-      let responseText = '';
-
-      const read = async () => {
-        try {
-          const { done, value } = await reader?.read();
-          if (done) {
-            if (res.status === 200) {
-              resolve({ responseText, newChatId, quoteLen, systemPrompt });
-            } else {
-              const parseError = JSON.parse(responseText);
-              reject(parseError?.message || '请求异常');
-            }
-
-            return;
-          }
-          const text = decoder.decode(value);
-          responseText += text;
-          onMessage(text);
-          read();
-        } catch (err: any) {
-          if (err?.message === 'The user aborted a request.') {
-            return resolve({ responseText, newChatId, quoteLen, systemPrompt });
-          }
-          reject(typeof err === 'string' ? err : err?.message || '请求异常');
+        if (response.status !== 200) {
+          const err = await response.json();
+          return reject(err);
        }
-      };
-      read();
-    } catch (err: any) {
-      console.log(err, '====');
-      reject(typeof err === 'string' ? err : err?.message || '请求异常');
+
+        if (!response?.body) {
+          throw new Error('Request Error');
+        }
+
+        const reader = response.body?.getReader();
+
+        // response data
+        let responseText = '';
+        let newChatId = '';
+        let quoteLen = 0;
+        let errMsg = '';
+
+        const read = async () => {
+          try {
+            const { done, value } = await reader.read();
+            if (done) {
+              if (response.status === 200) {
+                return resolve({
+                  responseText,
+                  newChatId,
+                  quoteLen,
+                  errMsg
+                });
+              } else {
+                return reject('响应过程出现异常~');
+              }
+            }
+            const chunkResponse = parseStreamChunk(value);
+
+            chunkResponse.forEach((item) => {
+              // parse json data
+              const data = (() => {
+                try {
+                  return JSON.parse(item.data);
+                } catch (error) {
+                  return item.data;
+                }
+              })();
+
+              if (item.event === sseResponseEventEnum.answer && data !== '[DONE]') {
+                const answer: string = data?.choices?.[0].delta.content || '';
+                onMessage(answer);
+                responseText += answer;
+              } else if (item.event === sseResponseEventEnum.chatResponse) {
+                const chatResponse = data as ChatResponseType;
+                newChatId = chatResponse.newChatId;
+                quoteLen = chatResponse.quoteLen || 0;
+              } else if (item.event === sseResponseEventEnum.error) {
+                errMsg = getErrText(data, '流响应错误');
+              }
+            });
+            read();
+          } catch (err: any) {
+            if (err?.message === 'The user aborted a request.') {
+              return resolve({
+                responseText,
+                newChatId,
+                quoteLen,
+                errMsg
+              });
+            }
+            reject(getErrText(err, '请求异常'));
+          }
+        };
+        read();
+      } catch (err: any) {
+        console.log(err);
+
+        reject(getErrText(err, '请求异常'));
+      }
    }
-  });
+  );
--- a/client/src/api/response/chat.d.ts
+++ b/client/src/api/response/chat.d.ts
@@ -4,6 +4,8 @@ import type { ChatItemType } from '@/types/chat';
 export interface InitChatResponse {
  chatId: string;
  modelId: string;
+  systemPrompt?: string;
+  limitPrompt?: string;
  model: {
    name: string;
    avatar: string;
--- a/client/src/components/Markdown/CodeLight.tsx
+++ b/client/src/components/Markdown/CodeLight.tsx
@@ -287,8 +287,7 @@ const CodeLight = ({
  children,
  className,
  inline,
-  match,
-  ...props
+  match
 }: {
  children: React.ReactNode & React.ReactNode[];
  className?: string;
@@ -315,18 +314,14 @@ const CodeLight = ({
            <Box ml={1}>复制</Box>
          </Flex>
        </Flex>
-        <SyntaxHighlighter style={codeLight as any} language={match?.[1]} PreTag="pre" {...props}>
+        <SyntaxHighlighter style={codeLight as any} language={match?.[1]} PreTag="pre">
          {String(children)}
        </SyntaxHighlighter>
      </Box>
    );
  }

-  return (
-    <code className={className} {...props}>
-      {children}
-    </code>
-  );
+  return <code className={className}>{children}</code>;
 };

 export default React.memo(CodeLight);
--- a/client/src/components/Markdown/Link.tsx
+++ b/client/src/components/Markdown/Link.tsx
@@ -0,0 +1,18 @@
+import React from 'react';
+import { Box } from '@chakra-ui/react';
+
+const regex = /((http|https|ftp):\/\/[^\s\u4e00-\u9fa5\u3000-\u303f\uff00-\uffef]+)/gi;
+
+const Link = (props: { href?: string; children?: React.ReactNode[] }) => {
+  const decText = decodeURIComponent(props.href || '');
+  const replaceText = decText.replace(regex, (match, p1) => {
+    const text = decText === props.children?.[0] ? p1 : props.children?.[0];
+    const isInternal = /^\/#/i.test(p1);
+    const target = isInternal ? '_self' : '_blank';
+    return `<a href="${p1}" target=${target}>${text}</a>`;
+  });
+
+  return <Box as={'span'} dangerouslySetInnerHTML={{ __html: replaceText }} />;
+};
+
+export default React.memo(Link);
--- a/client/src/components/Markdown/img/Image.tsx
+++ b/client/src/components/Markdown/img/Image.tsx
@@ -1,7 +1,7 @@
 import React, { useState } from 'react';
 import { Image, Skeleton } from '@chakra-ui/react';

-const MdImage = ({ src }: { src: string }) => {
+const MdImage = ({ src }: { src?: string }) => {
  const [isLoading, setIsLoading] = useState(true);
  const [succeed, setSucceed] = useState(false);
  return (
--- a/client/src/components/Markdown/img/Loading.tsx
+++ b/client/src/components/Markdown/img/Loading.tsx
--- a/client/src/components/Markdown/img/MermaidCodeBlock.tsx
+++ b/client/src/components/Markdown/img/MermaidCodeBlock.tsx
@@ -1,15 +1,16 @@
-import React, { useEffect, useRef, memo, useCallback, useState } from 'react';
+import React, { useEffect, useRef, memo, useCallback, useState, useMemo } from 'react';
 import { Box } from '@chakra-ui/react';
 // @ts-ignore
 import mermaid from 'mermaid';
-import MyIcon from '../Icon';
-
-import styles from './index.module.scss';
+import MyIcon from '../../Icon';

 const mermaidAPI = mermaid.mermaidAPI;
 mermaidAPI.initialize({
-  startOnLoad: false,
+  startOnLoad: true,
  theme: 'base',
+  flowchart: {
+    useMaxWidth: false
+  },
  themeVariables: {
    fontSize: '14px',
    primaryColor: '#d6e8ff',
@@ -21,52 +22,53 @@ mermaidAPI.initialize({
  }
 });

+const punctuationMap: Record<string, string> = {
+  '，': ',',
+  '；': ';',
+  '。': '.',
+  '：': ':',
+  '！': '!',
+  '？': '?',
+  '“': '"',
+  '”': '"',
+  '‘': "'",
+  '’': "'",
+  '【': '[',
+  '】': ']',
+  '（': '(',
+  '）': ')',
+  '《': '<',
+  '》': '>',
+  '、': ','
+};
+
 const MermaidBlock = ({ code }: { code: string }) => {
-  const dom = useRef<HTMLDivElement>(null);
+  const ref = useRef<HTMLDivElement>(null);
  const [svg, setSvg] = useState('');
-  const [errorSvgCode, setErrorSvgCode] = useState('');

  useEffect(() => {
    (async () => {
-      const punctuationMap: Record<string, string> = {
-        '，': ',',
-        '；': ';',
-        '。': '.',
-        '：': ':',
-        '！': '!',
-        '？': '?',
-        '“': '"',
-        '”': '"',
-        '‘': "'",
-        '’': "'",
-        '【': '[',
-        '】': ']',
-        '（': '(',
-        '）': ')',
-        '《': '<',
-        '》': '>',
-        '、': ','
-      };
-      const formatCode = code.replace(
-        /([，；。：！？“”‘’【】（）《》、])/g,
-        (match) => punctuationMap[match]
-      );
+      if (!code) return;
      try {
-        const svgCode = await mermaidAPI.render(`mermaid-${Date.now()}`, formatCode);
-        setSvg(svgCode);
-      } catch (error) {
-        setErrorSvgCode(formatCode);
-        console.log(error);
+        const formatCode = code.replace(
+          new RegExp(`[${Object.keys(punctuationMap).join('')}]`, 'g'),
+          (match) => punctuationMap[match]
+        );
+        const { svg } = await mermaid.render(`mermaid-${Date.now()}`, formatCode);
+        setSvg(svg);
+      } catch (e: any) {
+        console.log('[Mermaid] ', e?.message);
      }
    })();
  }, [code]);

  const onclickExport = useCallback(() => {
-    const svg = dom.current?.children[0];
+    const svg = ref.current?.children[0];
    if (!svg) return;

-    const w = svg.clientWidth * 4;
-    const h = svg.clientHeight * 4;
+    const rate = svg.clientHeight / svg.clientWidth;
+    const w = 3000;
+    const h = rate * w;

    const canvas = document.createElement('canvas');
    canvas.width = w;
@@ -78,7 +80,7 @@ const MermaidBlock = ({ code }: { code: string }) => {
    ctx.fillRect(0, 0, w, h);

    const img = new Image();
-    img.src = `data:image/svg+xml;charset=utf-8,${encodeURIComponent(dom.current.innerHTML)}`;
+    img.src = `data:image/svg+xml;charset=utf-8,${encodeURIComponent(ref.current.innerHTML)}`;

    img.onload = () => {
      ctx.drawImage(img, 0, 0, w, h);
@@ -97,17 +99,25 @@ const MermaidBlock = ({ code }: { code: string }) => {
  }, []);

  return (
-    <Box position={'relative'}>
+    <Box
+      position={'relative'}
+      _hover={{
+        '& > .export': {
+          display: 'block'
+        }
+      }}
+    >
      <Box
-        ref={dom}
-        as={'p'}
-        className={styles.mermaid}
+        overflowX={'auto'}
+        ref={ref}
        minW={'100px'}
        minH={'50px'}
        py={4}
        dangerouslySetInnerHTML={{ __html: svg }}
      />
      <MyIcon
+        className="export"
+        display={'none'}
        name={'export'}
        w={'20px'}
        position={'absolute'}
@@ -124,4 +134,4 @@ const MermaidBlock = ({ code }: { code: string }) => {
  );
 };

-export default memo(MermaidBlock);
+export default MermaidBlock;
--- a/client/src/components/Markdown/index.module.scss
+++ b/client/src/components/Markdown/index.module.scss
@@ -319,7 +319,6 @@
  border: medium none;
  margin: 0;
  padding: 0;
-  white-space: pre;
 }
 .markdown .highlight pre,
 .markdown pre {
@@ -345,10 +344,6 @@
    word-break: break-all;
  }

-  p {
-    white-space: pre-line;
-  }
-
  pre {
    display: block;
    width: 100%;
@@ -419,9 +414,4 @@

 .mermaid {
  overflow-x: auto;
-
-  svg {
-    height: auto !important;
-    width: auto;
-  }
 }
--- a/client/src/components/Markdown/index.tsx
+++ b/client/src/components/Markdown/index.tsx
@@ -1,65 +1,54 @@
-import React, { memo, useMemo } from 'react';
+import React from 'react';
 import ReactMarkdown from 'react-markdown';
-import { formatLinkText } from '@/utils/tools';
-import remarkGfm from 'remark-gfm';
-import remarkMath from 'remark-math';
-import rehypeKatex from 'rehype-katex';
+import RemarkGfm from 'remark-gfm';
+import RemarkMath from 'remark-math';
+import RehypeKatex from 'rehype-katex';
+import RemarkBreaks from 'remark-breaks';

 import 'katex/dist/katex.min.css';
 import styles from './index.module.scss';
-import CodeLight from './codeLight';
-import Loading from './Loading';
-import MermaidCodeBlock from './MermaidCodeBlock';
-import MdImage from './Image';

-const Markdown = ({
-  source,
-  isChatting = false,
-  formatLink
-}: {
-  source: string;
-  formatLink?: boolean;
-  isChatting?: boolean;
-}) => {
-  const formatSource = useMemo(() => {
-    return formatLink ? formatLinkText(source) : source;
-  }, [source, formatLink]);
+import Link from './Link';
+import CodeLight from './CodeLight';
+import MermaidCodeBlock from './img/MermaidCodeBlock';
+import MdImage from './img/Image';

+function Code({ inline, className, children }: any) {
+  const match = /language-(\w+)/.exec(className || '');
+
+  if (match?.[1] === 'mermaid') {
+    return <MermaidCodeBlock code={String(children)} />;
+  }
+
+  return (
+    <CodeLight className={className} inline={inline} match={match}>
+      {children}
+    </CodeLight>
+  );
+}
+
+function Image({ src }: { src?: string }) {
+  return <MdImage src={src} />;
+}
+
+const Markdown = ({ source, isChatting = false }: { source: string; isChatting?: boolean }) => {
  return (
    <ReactMarkdown
      className={`markdown ${styles.markdown}
-        ${isChatting ? (source === '' ? styles.waitingAnimation : styles.animation) : ''}
-      `}
-      remarkPlugins={[remarkGfm, remarkMath]}
-      rehypePlugins={[rehypeKatex]}
+      ${isChatting ? (source === '' ? styles.waitingAnimation : styles.animation) : ''}
+    `}
+      remarkPlugins={[RemarkGfm, RemarkMath, RemarkBreaks]}
+      rehypePlugins={[RehypeKatex]}
      components={{
+        a: Link,
+        img: Image,
        pre: 'div',
-        img({ src = '' }) {
-          return isChatting ? <Loading text="图片加载中..." /> : <MdImage src={src} />;
-        },
-        code({ node, inline, className, children, ...props }) {
-          const match = /language-(\w+)/.exec(className || '');
-
-          if (match?.[1] === 'mermaid') {
-            return isChatting ? (
-              <Loading text="导图加载中..." />
-            ) : (
-              <MermaidCodeBlock code={String(children)} />
-            );
-          }
-
-          return (
-            <CodeLight className={className} inline={inline} match={match} {...props}>
-              {children}
-            </CodeLight>
-          );
-        }
+        code: Code
      }}
-      linkTarget="_blank"
    >
-      {formatSource}
+      {source}
    </ReactMarkdown>
  );
 };

-export default memo(Markdown);
+export default Markdown;
--- a/client/src/components/ScrollData/index.tsx
+++ b/client/src/components/ScrollData/index.tsx
@@ -1,76 +0,0 @@
-import React, { useRef, useEffect, useMemo } from 'react';
-import type { BoxProps } from '@chakra-ui/react';
-import { Box } from '@chakra-ui/react';
-import { throttle } from 'lodash';
-import { useLoading } from '@/hooks/useLoading';
-
-interface Props extends BoxProps {
-  nextPage: () => void;
-  isLoadAll: boolean;
-  requesting: boolean;
-  children: React.ReactNode;
-  initRequesting?: boolean;
-}
-
-const ScrollData = ({
-  children,
-  nextPage,
-  isLoadAll,
-  requesting,
-  initRequesting,
-  ...props
-}: Props) => {
-  const { Loading } = useLoading({ defaultLoading: true });
-  const elementRef = useRef<HTMLDivElement>(null);
-  const loadText = useMemo(() => {
-    if (requesting) return '请求中……';
-    if (isLoadAll) return '已加载全部';
-    return '点击加载更多';
-  }, [isLoadAll, requesting]);
-
-  useEffect(() => {
-    if (!elementRef.current) return;
-
-    const scrolling = throttle((e: Event) => {
-      const element = e.target as HTMLDivElement;
-      if (!element) return;
-      // 当前滚动位置
-      const scrollTop = element.scrollTop;
-      // 可视高度
-      const clientHeight = element.clientHeight;
-      // 内容总高度
-      const scrollHeight = element.scrollHeight;
-      // 判断是否滚动到底部
-      if (scrollTop + clientHeight + 100 >= scrollHeight) {
-        nextPage();
-      }
-    }, 100);
-    elementRef.current.addEventListener('scroll', scrolling);
-    return () => {
-      // eslint-disable-next-line react-hooks/exhaustive-deps
-      elementRef.current?.removeEventListener('scroll', scrolling);
-    };
-  }, [elementRef, nextPage]);
-
-  return (
-    <Box {...props} ref={elementRef} overflowY={'auto'} position={'relative'}>
-      {children}
-      <Box
-        mt={2}
-        fontSize={'xs'}
-        color={'blackAlpha.500'}
-        textAlign={'center'}
-        cursor={loadText === '点击加载更多' ? 'pointer' : 'default'}
-        onClick={() => {
-          if (loadText !== '点击加载更多') return;
-          nextPage();
-        }}
-      >
-        {loadText}
-      </Box>
-      {initRequesting && <Loading fixed={false} />}
-    </Box>
-  );
-};
-
-export default ScrollData;
--- a/client/src/components/Select/index.tsx
+++ b/client/src/components/Select/index.tsx
@@ -1,4 +1,4 @@
-import React from 'react';
+import React, { useRef } from 'react';
 import { Menu, MenuButton, MenuList, MenuItem, Button, useDisclosure } from '@chakra-ui/react';
 import type { ButtonProps } from '@chakra-ui/react';
 import { ChevronDownIcon } from '@chakra-ui/icons';
@@ -13,6 +13,7 @@ interface Props extends ButtonProps {
 }

 const MySelect = ({ placeholder, value, width = 'auto', list, onchange, ...props }: Props) => {
+  const ref = useRef<HTMLDivElement>(null);
  const menuItemStyles = {
    borderRadius: 'sm',
    py: 2,
@@ -26,8 +27,9 @@ const MySelect = ({ placeholder, value, width = 'auto', list, onchange, ...props

  return (
    <Menu autoSelect={false} onOpen={onOpen} onClose={onClose}>
-      <MenuButton as={'span'}>
+      <MenuButton style={{ width: '100%', position: 'relative' }} as={'span'}>
        <Button
+          ref={ref}
          width={width}
          px={3}
          variant={'base'}
@@ -47,9 +49,15 @@ const MySelect = ({ placeholder, value, width = 'auto', list, onchange, ...props
        </Button>
      </MenuButton>
      <MenuList
-        minW={
-          Array.isArray(width) ? width.map((item) => `${item} !important`) : `${width} !important`
-        }
+        minW={(() => {
+          const w = ref.current?.clientWidth;
+          if (w) {
+            return `${w}px !important`;
+          }
+          return Array.isArray(width)
+            ? width.map((item) => `${item} !important`)
+            : `${width} !important`;
+        })()}
        p={'6px'}
        border={'1px solid #fff'}
        boxShadow={'0px 2px 4px rgba(161, 167, 179, 0.25), 0px 0px 1px rgba(121, 141, 159, 0.25);'}
@@ -78,4 +86,4 @@ const MySelect = ({ placeholder, value, width = 'auto', list, onchange, ...props
  );
 };

-export default MySelect;
+export default React.memo(MySelect);
--- a/client/src/constants/chat.ts
+++ b/client/src/constants/chat.ts
@@ -1,6 +1,8 @@
-export const NEW_CHATID_HEADER = 'response-new-chat-id';
-export const QUOTE_LEN_HEADER = 'response-quote-len';
-export const GUIDE_PROMPT_HEADER = 'response-guide-prompt';
+export enum sseResponseEventEnum {
+  error = 'error',
+  answer = 'answer',
+  chatResponse = 'chatResponse'
+}

 export enum ChatRoleEnum {
  System = 'System',
--- a/client/src/constants/model.ts
+++ b/client/src/constants/model.ts
@@ -12,11 +12,8 @@ export enum OpenAiChatEnum {
  'GPT4' = 'gpt-4',
  'GPT432k' = 'gpt-4-32k'
 }
-export enum ClaudeEnum {
-  'Claude' = 'Claude'
-}

-export type ChatModelType = `${OpenAiChatEnum}` | `${ClaudeEnum}`;
+export type ChatModelType = `${OpenAiChatEnum}`;

 export type ChatModelItemType = {
  chatModel: ChatModelType;
@@ -34,7 +31,7 @@ export const ChatModelMap = {
    contextMaxToken: 4000,
    systemMaxToken: 2400,
    maxTemperature: 1.2,
-    price: 2.2
+    price: 1.5
  },
  [OpenAiChatEnum.GPT3516k]: {
    chatModel: OpenAiChatEnum.GPT3516k,
@@ -42,7 +39,7 @@ export const ChatModelMap = {
    contextMaxToken: 16000,
    systemMaxToken: 8000,
    maxTemperature: 1.2,
-    price: 2.5
+    price: 1.5
  },
  [OpenAiChatEnum.GPT4]: {
    chatModel: OpenAiChatEnum.GPT4,
@@ -50,7 +47,7 @@ export const ChatModelMap = {
    contextMaxToken: 8000,
    systemMaxToken: 4000,
    maxTemperature: 1.2,
-    price: 50
+    price: 10
  },
  [OpenAiChatEnum.GPT432k]: {
    chatModel: OpenAiChatEnum.GPT432k,
@@ -59,14 +56,6 @@ export const ChatModelMap = {
    systemMaxToken: 8000,
    maxTemperature: 1.2,
    price: 90
-  },
-  [ClaudeEnum.Claude]: {
-    chatModel: ClaudeEnum.Claude,
-    name: 'Claude(免费体验)',
-    contextMaxToken: 9000,
-    systemMaxToken: 2700,
-    maxTemperature: 1,
-    price: 0
  }
 };

@@ -93,7 +82,9 @@ export const defaultModel: ModelSchema = {
    searchLimit: 5,
    searchEmptyText: '',
    systemPrompt: '',
+    limitPrompt: '',
    temperature: 0,
+    maxToken: 4000,
    chatModel: OpenAiChatEnum.GPT35
  },
  share: {
--- a/client/src/hooks/usePagination.tsx
+++ b/client/src/hooks/usePagination.tsx
@@ -1,21 +1,27 @@
-import { useState, useCallback, useMemo, useEffect } from 'react';
+import { useRef, useState, useCallback, useLayoutEffect, useMemo, useEffect } from 'react';
 import type { PagingData } from '../types/index';
 import { IconButton, Flex, Box, Input } from '@chakra-ui/react';
 import { ArrowBackIcon, ArrowForwardIcon } from '@chakra-ui/icons';
 import { useMutation } from '@tanstack/react-query';
 import { useToast } from './useToast';
+import { throttle } from 'lodash';
+
+const thresholdVal = 100;

 export const usePagination = <T = any,>({
  api,
  pageSize = 10,
  params = {},
-  defaultRequest = true
+  defaultRequest = true,
+  type = 'button'
 }: {
  api: (data: any) => any;
  pageSize?: number;
  params?: Record<string, any>;
  defaultRequest?: boolean;
+  type?: 'button' | 'scroll';
 }) => {
+  const elementRef = useRef<HTMLDivElement>(null);
  const { toast } = useToast();
  const [pageNum, setPageNum] = useState(1);
  const [total, setTotal] = useState(0);
@@ -108,6 +114,60 @@ export const usePagination = <T = any,>({
    );
  }, [isLoading, maxPage, mutate, pageNum]);

+  const ScrollData = useCallback(
+    ({ children, ...props }: { children: React.ReactNode }) => {
+      const loadText = useMemo(() => {
+        if (isLoading) return '请求中……';
+        if (total <= data.length) return '已加载全部';
+        return '点击加载更多';
+      }, []);
+
+      return (
+        <Box {...props} ref={elementRef} overflow={'overlay'}>
+          {children}
+          <Box
+            mt={2}
+            fontSize={'xs'}
+            color={'blackAlpha.500'}
+            textAlign={'center'}
+            cursor={loadText === '点击加载更多' ? 'pointer' : 'default'}
+            onClick={() => {
+              if (loadText !== '点击加载更多') return;
+              mutate(pageNum + 1);
+            }}
+          >
+            {loadText}
+          </Box>
+        </Box>
+      );
+    },
+    [data.length, isLoading, mutate, pageNum, total]
+  );
+
+  useLayoutEffect(() => {
+    if (!elementRef.current || type !== 'scroll') return;
+
+    const scrolling = throttle((e: Event) => {
+      const element = e.target as HTMLDivElement;
+      if (!element) return;
+      // 当前滚动位置
+      const scrollTop = element.scrollTop;
+      // 可视高度
+      const clientHeight = element.clientHeight;
+      // 内容总高度
+      const scrollHeight = element.scrollHeight;
+      // 判断是否滚动到底部
+      if (scrollTop + clientHeight + thresholdVal >= scrollHeight) {
+        mutate(pageNum + 1);
+      }
+    }, 100);
+    elementRef.current.addEventListener('scroll', scrolling);
+    return () => {
+      // eslint-disable-next-line react-hooks/exhaustive-deps
+      elementRef.current?.removeEventListener('scroll', scrolling);
+    };
+  }, [elementRef, mutate, pageNum, type]);
+
  useEffect(() => {
    defaultRequest && mutate(1);
  }, []);
@@ -119,6 +179,7 @@ export const usePagination = <T = any,>({
    data,
    isLoading,
    Pagination,
+    ScrollData,
    getData: mutate
  };
 };
--- a/client/src/hooks/useScreen.ts
+++ b/client/src/hooks/useScreen.ts
@@ -8,7 +8,7 @@ interface Props {
 export function useScreen(data?: Props) {
  const { defaultIsPc = false } = data || {};
  const [isPc] = useMediaQuery('(min-width: 900px)', {
-    ssr: true,
+    ssr: false,
    fallback: defaultIsPc
  });

--- a/client/src/pages/_app.tsx
+++ b/client/src/pages/_app.tsx
@@ -31,7 +31,7 @@ const queryClient = new QueryClient({
 function App({ Component, pageProps }: AppProps) {
  const {
    loadInitData,
-    initData: { googleVerKey }
+    initData: { googleVerKey, baiduTongji }
  } = useGlobalStore();

  useEffect(() => {
@@ -49,22 +49,19 @@ function App({ Component, pageProps }: AppProps) {
        />
        <link rel="icon" href="/favicon.ico" />
      </Head>
+      <Script src="/js/particles.js" strategy="lazyOnload"></Script>
      <Script src="/js/qrcode.min.js" strategy="afterInteractive"></Script>
      <Script src="/js/pdf.js" strategy="afterInteractive"></Script>
      <Script src="/js/html2pdf.bundle.min.js" strategy="afterInteractive"></Script>
+      {baiduTongji && <Script src="/js/baidutongji.js" strategy="afterInteractive"></Script>}
      {googleVerKey && (
        <>
          <Script
            src={`https://www.recaptcha.net/recaptcha/api.js?render=${googleVerKey}`}
            strategy="afterInteractive"
          ></Script>
-          <Script
-            src={`https://www.google.com/recaptcha/api.js?render=${googleVerKey}`}
-            strategy="afterInteractive"
-          ></Script>
        </>
      )}
-      <Script src="/js/particles.js"></Script>
      <QueryClientProvider client={queryClient}>
        <ChakraProvider theme={theme}>
          <ColorModeScript initialColorMode={theme.config.initialColorMode} />
--- a/client/src/pages/api/chat/chat.ts
+++ b/client/src/pages/api/chat/chat.ts
@@ -1,192 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { connectToDatabase } from '@/service/mongo';
-import { authChat } from '@/service/utils/auth';
-import { modelServiceToolMap } from '@/service/utils/chat';
-import { ChatItemType } from '@/types/chat';
-import { jsonRes } from '@/service/response';
-import { ChatModelMap } from '@/constants/model';
-import { pushChatBill } from '@/service/events/pushBill';
-import { resStreamResponse } from '@/service/utils/chat';
-import { appKbSearch } from '../openapi/kb/appKbSearch';
-import { ChatRoleEnum, QUOTE_LEN_HEADER, GUIDE_PROMPT_HEADER } from '@/constants/chat';
-import { BillTypeEnum } from '@/constants/user';
-import { sensitiveCheck } from '../openapi/text/sensitiveCheck';
-import { NEW_CHATID_HEADER } from '@/constants/chat';
-import { saveChat } from './saveChat';
-import { Types } from 'mongoose';
-
-/* 发送提示词 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  res.on('close', () => {
-    res.end();
-  });
-  res.on('error', () => {
-    console.log('error: ', 'request error');
-    res.end();
-  });
-
-  try {
-    const { chatId, prompt, modelId } = req.body as {
-      prompt: [ChatItemType, ChatItemType];
-      modelId: string;
-      chatId?: string;
-    };
-
-    if (!modelId || !prompt) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-    let startTime = Date.now();
-
-    const { model, showModelDetail, content, userOpenAiKey, systemAuthKey, userId } =
-      await authChat({
-        modelId,
-        chatId,
-        req
-      });
-
-    const modelConstantsData = ChatModelMap[model.chat.chatModel];
-
-    const {
-      rawSearch = [],
-      userSystemPrompt = [],
-      quotePrompt = []
-    } = await (async () => {
-      // 使用了知识库搜索
-      if (model.chat.relatedKbs?.length > 0) {
-        const { rawSearch, userSystemPrompt, quotePrompt } = await appKbSearch({
-          model,
-          userId,
-          fixedQuote: content[content.length - 1]?.quote || [],
-          prompt: prompt[0],
-          similarity: model.chat.searchSimilarity,
-          limit: model.chat.searchLimit
-        });
-
-        return {
-          rawSearch: rawSearch,
-          userSystemPrompt: userSystemPrompt ? [userSystemPrompt] : [],
-          quotePrompt: [quotePrompt]
-        };
-      }
-      if (model.chat.systemPrompt) {
-        return {
-          userSystemPrompt: [
-            {
-              obj: ChatRoleEnum.System,
-              value: model.chat.systemPrompt
-            }
-          ]
-        };
-      }
-      return {};
-    })();
-
-    // get conversationId. create a newId if it is null
-    const conversationId = chatId || String(new Types.ObjectId());
-    !chatId && res.setHeader(NEW_CHATID_HEADER, conversationId);
-    if (showModelDetail) {
-      userSystemPrompt[0] &&
-        res.setHeader(GUIDE_PROMPT_HEADER, encodeURIComponent(userSystemPrompt[0].value));
-      res.setHeader(QUOTE_LEN_HEADER, rawSearch.length);
-    }
-
-    // search result is empty
-    if (model.chat.relatedKbs?.length > 0 && !quotePrompt[0]?.value && model.chat.searchEmptyText) {
-      const response = model.chat.searchEmptyText;
-      await saveChat({
-        chatId,
-        newChatId: conversationId,
-        modelId,
-        prompts: [
-          prompt[0],
-          {
-            ...prompt[1],
-            quote: [],
-            value: response
-          }
-        ],
-        userId
-      });
-      return res.end(response);
-    }
-
-    // 读取对话内容
-    const prompts = [...quotePrompt, ...content, ...userSystemPrompt, prompt[0]];
-
-    // content check
-    await sensitiveCheck({
-      input: [...quotePrompt, ...userSystemPrompt, prompt[0]].map((item) => item.value).join('')
-    });
-
-    // 计算温度
-    const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed(
-      2
-    );
-
-    // 发出 chat 请求
-    const { streamResponse, responseMessages } = await modelServiceToolMap[
-      model.chat.chatModel
-    ].chatCompletion({
-      apiKey: userOpenAiKey || systemAuthKey,
-      temperature: +temperature,
-      messages: prompts,
-      stream: true,
-      res,
-      chatId: conversationId
-    });
-
-    console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
-
-    if (res.closed) return res.end();
-
-    try {
-      const { totalTokens, finishMessages, responseContent } = await resStreamResponse({
-        model: model.chat.chatModel,
-        res,
-        chatResponse: streamResponse,
-        prompts: responseMessages
-      });
-
-      // save chat
-      await saveChat({
-        chatId,
-        newChatId: conversationId,
-        modelId,
-        prompts: [
-          prompt[0],
-          {
-            ...prompt[1],
-            value: responseContent,
-            quote: showModelDetail ? rawSearch : [],
-            systemPrompt: showModelDetail ? userSystemPrompt[0]?.value : ''
-          }
-        ],
-        userId
-      });
-
-      res.end();
-
-      // 只有使用平台的 key 才计费
-      pushChatBill({
-        isPay: !userOpenAiKey,
-        chatModel: model.chat.chatModel,
-        userId,
-        chatId: conversationId,
-        textLen: finishMessages.map((item) => item.value).join('').length,
-        tokens: totalTokens,
-        type: BillTypeEnum.chat
-      });
-    } catch (error) {
-      res.end();
-      console.log('error，结束', error);
-    }
-  } catch (err: any) {
-    res.status(500);
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/chat/init.ts
+++ b/client/src/pages/api/chat/init.ts
@@ -20,31 +20,32 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)

    await connectToDatabase();

-    let model: ModelSchema;
-
    // 没有 modelId 时，直接获取用户的第一个id
-    if (!modelId) {
-      const myModel = await Model.findOne({ userId });
-      if (!myModel) {
-        const { _id } = await Model.create({
-          name: '应用1',
-          userId
-        });
-        model = (await Model.findById(_id)) as ModelSchema;
+    const model = await (async () => {
+      if (!modelId) {
+        const myModel = await Model.findOne({ userId });
+        if (!myModel) {
+          const { _id } = await Model.create({
+            name: '应用1',
+            userId
+          });
+          return (await Model.findById(_id)) as ModelSchema;
+        } else {
+          return myModel;
+        }
      } else {
-        model = myModel;
+        // 校验使用权限
+        const authRes = await authModel({
+          modelId,
+          userId,
+          authUser: false,
+          authOwner: false
+        });
+        return authRes.model;
      }
-      modelId = model._id;
-    } else {
-      // 校验使用权限
-      const authRes = await authModel({
-        modelId,
-        userId,
-        authUser: false,
-        authOwner: false
-      });
-      model = authRes.model;
-    }
+    })();
+
+    modelId = modelId || model._id;

    // 历史记录
    let history: ChatItemType[] = [];
@@ -86,6 +87,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
      ]);
    }

+    const isOwner = String(model.userId) === userId;
+
    jsonRes<InitChatResponse>(res, {
      data: {
        chatId: chatId || '',
@@ -94,9 +97,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
          name: model.name,
          avatar: model.avatar,
          intro: model.intro,
-          canUse: model.share.isShare || String(model.userId) === userId
+          canUse: model.share.isShare || isOwner
        },
        chatModel: model.chat.chatModel,
+        systemPrompt: isOwner ? model.chat.systemPrompt : '',
+        limitPrompt: isOwner ? model.chat.limitPrompt : '',
        history
      }
    });
--- a/client/src/pages/api/chat/saveChat.ts
+++ b/client/src/pages/api/chat/saveChat.ts
@@ -4,10 +4,9 @@ import { ChatItemType } from '@/types/chat';
 import { connectToDatabase, Chat, Model } from '@/service/mongo';
 import { authModel } from '@/service/utils/auth';
 import { authUser } from '@/service/utils/auth';
-import mongoose from 'mongoose';
+import { Types } from 'mongoose';

 type Props = {
-  newChatId?: string;
  chatId?: string;
  modelId: string;
  prompts: [ChatItemType, ChatItemType];
@@ -16,7 +15,7 @@ type Props = {
 /* 聊天内容存存储 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
  try {
-    const { chatId, modelId, prompts, newChatId } = req.body as Props;
+    const { chatId, modelId, prompts } = req.body as Props;

    if (!prompts) {
      throw new Error('缺少参数');
@@ -24,16 +23,15 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)

    const { userId } = await authUser({ req, authToken: true });

-    const nId = await saveChat({
+    const response = await saveChat({
      chatId,
      modelId,
      prompts,
-      newChatId,
      userId
    });

    jsonRes(res, {
-      data: nId
+      data: response
    });
  } catch (err) {
    jsonRes(res, {
@@ -44,25 +42,31 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
 }

 export async function saveChat({
-  chatId,
  newChatId,
+  chatId,
  modelId,
  prompts,
  userId
-}: Props & { userId: string }) {
+}: Props & { newChatId?: Types.ObjectId; userId: string }) {
  await connectToDatabase();
  const { model } = await authModel({ modelId, userId, authOwner: false });

  const content = prompts.map((item) => ({
-    _id: item._id ? new mongoose.Types.ObjectId(item._id) : undefined,
+    _id: item._id,
    obj: item.obj,
    value: item.value,
-    systemPrompt: item.systemPrompt,
+    systemPrompt: item.systemPrompt || '',
    quote: item.quote || []
  }));

-  const [id] = await Promise.all([
-    ...(chatId // update chat
+  if (String(model.userId) === userId) {
+    await Model.findByIdAndUpdate(modelId, {
+      updateTime: new Date()
+    });
+  }
+
+  const [response] = await Promise.all([
+    ...(chatId
      ? [
          Chat.findByIdAndUpdate(chatId, {
            $push: {
@@ -73,17 +77,21 @@ export async function saveChat({
            title: content[0].value.slice(0, 20),
            latestChat: content[1].value,
            updateTime: new Date()
-          }).then(() => '')
+          }).then(() => ({
+            newChatId: ''
+          }))
        ]
      : [
          Chat.create({
-            _id: newChatId ? new mongoose.Types.ObjectId(newChatId) : undefined,
+            _id: newChatId,
            userId,
            modelId,
            content,
            title: content[0].value.slice(0, 20),
            latestChat: content[1].value
-          }).then((res) => res._id)
+          }).then((res) => ({
+            newChatId: String(res._id)
+          }))
        ]),
    // update model
    ...(String(model.userId) === userId
@@ -96,6 +104,6 @@ export async function saveChat({
  ]);

  return {
-    id
+    ...response
  };
 }
--- a/client/src/pages/api/chat/shareChat/chat.ts
+++ b/client/src/pages/api/chat/shareChat/chat.ts
@@ -1,149 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { connectToDatabase } from '@/service/mongo';
-import { authShareChat } from '@/service/utils/auth';
-import { modelServiceToolMap } from '@/service/utils/chat';
-import { ChatItemSimpleType } from '@/types/chat';
-import { jsonRes } from '@/service/response';
-import { ChatModelMap } from '@/constants/model';
-import { pushChatBill, updateShareChatBill } from '@/service/events/pushBill';
-import { resStreamResponse } from '@/service/utils/chat';
-import { ChatRoleEnum } from '@/constants/chat';
-import { BillTypeEnum } from '@/constants/user';
-import { sensitiveCheck } from '../../openapi/text/sensitiveCheck';
-import { appKbSearch } from '../../openapi/kb/appKbSearch';
-
-/* 发送提示词 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  res.on('error', () => {
-    console.log('error: ', 'request error');
-    res.end();
-  });
-
-  try {
-    const { shareId, password, historyId, prompts } = req.body as {
-      prompts: ChatItemSimpleType[];
-      password: string;
-      shareId: string;
-      historyId: string;
-    };
-
-    if (!historyId || !prompts) {
-      throw new Error('分享链接无效');
-    }
-
-    await connectToDatabase();
-    let startTime = Date.now();
-
-    const { model, userOpenAiKey, systemAuthKey, userId } = await authShareChat({
-      shareId,
-      password
-    });
-
-    const modelConstantsData = ChatModelMap[model.chat.chatModel];
-    const prompt = prompts[prompts.length - 1];
-
-    const {
-      rawSearch = [],
-      userSystemPrompt = [],
-      quotePrompt = []
-    } = await (async () => {
-      // 使用了知识库搜索
-      if (model.chat.relatedKbs?.length > 0) {
-        const { rawSearch, userSystemPrompt, quotePrompt } = await appKbSearch({
-          model,
-          userId,
-          fixedQuote: [],
-          prompt: prompt,
-          similarity: model.chat.searchSimilarity,
-          limit: model.chat.searchLimit
-        });
-
-        return {
-          rawSearch: rawSearch,
-          userSystemPrompt: userSystemPrompt ? [userSystemPrompt] : [],
-          quotePrompt: [quotePrompt]
-        };
-      }
-      if (model.chat.systemPrompt) {
-        return {
-          userSystemPrompt: [
-            {
-              obj: ChatRoleEnum.System,
-              value: model.chat.systemPrompt
-            }
-          ]
-        };
-      }
-      return {};
-    })();
-
-    // search result is empty
-    if (model.chat.relatedKbs?.length > 0 && !quotePrompt[0]?.value && model.chat.searchEmptyText) {
-      const response = model.chat.searchEmptyText;
-      return res.end(response);
-    }
-
-    // 读取对话内容
-    const completePrompts = [...quotePrompt, ...prompts.slice(0, -1), ...userSystemPrompt, prompt];
-
-    // content check
-    await sensitiveCheck({
-      input: [...quotePrompt, ...userSystemPrompt, prompt].map((item) => item.value).join('')
-    });
-
-    // 计算温度
-    const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed(
-      2
-    );
-
-    // 发出请求
-    const { streamResponse, responseMessages } = await modelServiceToolMap[
-      model.chat.chatModel
-    ].chatCompletion({
-      apiKey: userOpenAiKey || systemAuthKey,
-      temperature: +temperature,
-      messages: completePrompts,
-      stream: true,
-      res,
-      chatId: historyId
-    });
-
-    console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
-
-    if (res.closed) return res.end();
-
-    try {
-      const { totalTokens, finishMessages } = await resStreamResponse({
-        model: model.chat.chatModel,
-        res,
-        chatResponse: streamResponse,
-        prompts: responseMessages
-      });
-
-      res.end();
-
-      /* bill */
-      pushChatBill({
-        isPay: !userOpenAiKey,
-        chatModel: model.chat.chatModel,
-        userId,
-        textLen: finishMessages.map((item) => item.value).join('').length,
-        tokens: totalTokens,
-        type: BillTypeEnum.chat
-      });
-      updateShareChatBill({
-        shareId,
-        tokens: totalTokens
-      });
-    } catch (error) {
-      res.end();
-      console.log('error，结束', error);
-    }
-  } catch (err: any) {
-    res.status(500);
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/model/create.ts
+++ b/client/src/pages/api/model/create.ts
@@ -24,8 +24,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    const authCount = await Model.countDocuments({
      userId
    });
-    if (authCount >= 30) {
-      throw new Error('上限 30 个应用');
+    if (authCount >= 50) {
+      throw new Error('上限 50 个应用');
    }

    // 创建模型
--- a/client/src/pages/api/model/list.ts
+++ b/client/src/pages/api/model/list.ts
@@ -18,14 +18,14 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
        {
          userId
        },
-        '_id avatar name chat.systemPrompt'
+        '_id avatar name intro'
      ).sort({
        updateTime: -1
      }),
      Collection.find({ userId })
        .populate({
          path: 'modelId',
-          select: '_id avatar name chat.systemPrompt',
+          select: '_id avatar name intro',
          match: { 'share.isShare': true }
        })
        .then((res) => res.filter((item) => item.modelId))
@@ -37,14 +37,14 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
          _id: item._id,
          name: item.name,
          avatar: item.avatar,
-          systemPrompt: item.chat.systemPrompt
+          intro: item.intro
        })),
        myCollectionModels: myCollections
          .map((item: any) => ({
            _id: item.modelId?._id,
            name: item.modelId?.name,
            avatar: item.modelId?.avatar,
-            systemPrompt: item.modelId?.chat.systemPrompt
+            intro: item.modelId?.intro
          }))
          .filter((item) => !myModels.find((model) => String(model._id) === String(item._id))) // 去重
      }
--- a/client/src/pages/api/openapi/chat/chat.ts
+++ b/client/src/pages/api/openapi/chat/chat.ts
@@ -2,15 +2,13 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase } from '@/service/mongo';
 import { authUser, authModel, getApiKey } from '@/service/utils/auth';
 import { modelServiceToolMap, resStreamResponse } from '@/service/utils/chat';
-import { ChatItemSimpleType } from '@/types/chat';
+import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { ChatModelMap } from '@/constants/model';
 import { pushChatBill } from '@/service/events/pushBill';
 import { ChatRoleEnum } from '@/constants/chat';
 import { withNextCors } from '@/service/utils/tools';
 import { BillTypeEnum } from '@/constants/user';
-import { NEW_CHATID_HEADER } from '@/constants/chat';
-import { Types } from 'mongoose';
 import { appKbSearch } from '../kb/appKbSearch';

 /* 发送提示词 */
@@ -31,7 +29,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
      isStream = true
    } = req.body as {
      chatId?: string;
-      prompts: ChatItemSimpleType[];
+      prompts: ChatItemType[];
      modelId: string;
      isStream: boolean;
    };
@@ -67,10 +65,14 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
    const modelConstantsData = ChatModelMap[model.chat.chatModel];
    const prompt = prompts[prompts.length - 1];

-    const { userSystemPrompt = [], quotePrompt = [] } = await (async () => {
+    const {
+      userSystemPrompt = [],
+      userLimitPrompt = [],
+      quotePrompt = []
+    } = await (async () => {
      // 使用了知识库搜索
      if (model.chat.relatedKbs?.length > 0) {
-        const { userSystemPrompt, quotePrompt } = await appKbSearch({
+        const { quotePrompt, userSystemPrompt, userLimitPrompt } = await appKbSearch({
          model,
          userId,
          fixedQuote: [],
@@ -80,21 +82,29 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
        });

        return {
-          userSystemPrompt: userSystemPrompt ? [userSystemPrompt] : [],
+          userSystemPrompt,
+          userLimitPrompt,
          quotePrompt: [quotePrompt]
        };
      }
-      if (model.chat.systemPrompt) {
-        return {
-          userSystemPrompt: [
-            {
-              obj: ChatRoleEnum.System,
-              value: model.chat.systemPrompt
-            }
-          ]
-        };
-      }
-      return {};
+      return {
+        userSystemPrompt: model.chat.systemPrompt
+          ? [
+              {
+                obj: ChatRoleEnum.System,
+                value: model.chat.systemPrompt
+              }
+            ]
+          : [],
+        userLimitPrompt: model.chat.limitPrompt
+          ? [
+              {
+                obj: ChatRoleEnum.Human,
+                value: model.chat.limitPrompt
+              }
+            ]
+          : []
+      };
    })();

    // search result is empty
@@ -104,17 +114,19 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
    }

    // 读取对话内容
-    const completePrompts = [...quotePrompt, ...prompts.slice(0, -1), ...userSystemPrompt, prompt];
+    const completePrompts = [
+      ...quotePrompt,
+      ...userSystemPrompt,
+      ...prompts.slice(0, -1),
+      ...userLimitPrompt,
+      prompt
+    ];

    // 计算温度
    const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed(
      2
    );

-    // get conversationId. create a newId if it is null
-    const conversationId = chatId || String(new Types.ObjectId());
-    !chatId && res?.setHeader(NEW_CHATID_HEADER, conversationId);
-
    // 发出请求
    const { streamResponse, responseMessages, responseText, totalTokens } =
      await modelServiceToolMap[model.chat.chatModel].chatCompletion({
@@ -122,8 +134,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
        temperature: +temperature,
        messages: completePrompts,
        stream: isStream,
-        res,
-        chatId: conversationId
+        res
      });

    console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
--- a/client/src/pages/api/openapi/kb/appKbSearch.ts
+++ b/client/src/pages/api/openapi/kb/appKbSearch.ts
@@ -3,7 +3,7 @@ import { jsonRes } from '@/service/response';
 import { authUser } from '@/service/utils/auth';
 import { PgClient } from '@/service/pg';
 import { withNextCors } from '@/service/utils/tools';
-import type { ChatItemSimpleType } from '@/types/chat';
+import type { ChatItemType } from '@/types/chat';
 import type { ModelSchema } from '@/types/mongoSchema';
 import { authModel } from '@/service/utils/auth';
 import { ChatModelMap } from '@/constants/model';
@@ -18,7 +18,7 @@ export type QuoteItemType = {
  source?: string;
 };
 type Props = {
-  prompts: ChatItemSimpleType[];
+  prompts: ChatItemType[];
  similarity: number;
  limit: number;
  appId: string;
@@ -28,7 +28,11 @@ type Response = {
  userSystemPrompt: {
    obj: ChatRoleEnum;
    value: string;
-  };
+  }[];
+  userLimitPrompt: {
+    obj: ChatRoleEnum;
+    value: string;
+  }[];
  quotePrompt: {
    obj: ChatRoleEnum;
    value: string;
@@ -79,15 +83,15 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
 export async function appKbSearch({
  model,
  userId,
-  fixedQuote,
+  fixedQuote = [],
  prompt,
  similarity = 0.8,
  limit = 5
 }: {
  model: ModelSchema;
  userId: string;
-  fixedQuote: QuoteItemType[];
-  prompt: ChatItemSimpleType;
+  fixedQuote?: QuoteItemType[];
+  prompt: ChatItemType;
  similarity: number;
  limit: number;
 }): Promise<Response> {
@@ -96,8 +100,7 @@ export async function appKbSearch({
  // get vector
  const promptVector = await openaiEmbedding({
    userId,
-    input: [prompt.value],
-    type: 'chat'
+    input: [prompt.value]
  });

  // search kb
@@ -120,7 +123,7 @@ export async function appKbSearch({
    ...searchRes.slice(0, 3),
    ...fixedQuote.slice(0, 2),
    ...searchRes.slice(3),
-    ...fixedQuote.slice(2, 4)
+    ...fixedQuote.slice(2, Math.floor(fixedQuote.length * 0.4))
  ].filter((item) => {
    if (idSet.has(item.id)) {
      return false;
@@ -131,17 +134,24 @@ export async function appKbSearch({

  // 计算固定提示词的 token 数量
  const userSystemPrompt = model.chat.systemPrompt // user system prompt
-    ? {
-        obj: ChatRoleEnum.Human,
-        value: model.chat.systemPrompt
-      }
-    : {
-        obj: ChatRoleEnum.Human,
-        value: `知识库是关于 ${model.name} 的内容，参考知识库回答问题。与 "${model.name}" 无关内容，直接回复: "我不知道"。`
-      };
+    ? [
+        {
+          obj: ChatRoleEnum.System,
+          value: model.chat.systemPrompt
+        }
+      ]
+    : [];
+  const userLimitPrompt = [
+    {
+      obj: ChatRoleEnum.Human,
+      value: model.chat.limitPrompt
+        ? model.chat.limitPrompt
+        : `知识库是关于 ${model.name} 的内容，参考知识库回答问题。与 "${model.name}" 无关内容，直接回复: "我不知道"。`
+    }
+  ];

  const fixedSystemTokens = modelToolMap[model.chat.chatModel].countTokens({
-    messages: [userSystemPrompt]
+    messages: [...userSystemPrompt, ...userLimitPrompt]
  });

  // filter part quote by maxToken
@@ -165,6 +175,7 @@ export async function appKbSearch({
  return {
    rawSearch,
    userSystemPrompt,
+    userLimitPrompt,
    quotePrompt: {
      obj: ChatRoleEnum.System,
      value: quoteText
--- a/client/src/pages/api/openapi/kb/pushData.ts
+++ b/client/src/pages/api/openapi/kb/pushData.ts
@@ -73,9 +73,6 @@ export async function pushDataToKb({
  const set = new Set();
  const filterData: DateItemType[] = [];

-  const time = Date.now();
-  console.log('push data', data.length);
-
  data.forEach((item) => {
    const text = item.q + item.a;

@@ -156,8 +153,6 @@ export async function pushDataToKb({

  insertData.length > 0 && startQueue();

-  console.log('push data finish', Date.now() - time);
-
  return {
    insertLen: insertData.length
  };
--- a/client/src/pages/api/openapi/kb/searchTest.ts
+++ b/client/src/pages/api/openapi/kb/searchTest.ts
@@ -29,8 +29,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex

    const vector = await openaiEmbedding({
      userId,
-      input: [text],
-      type: 'training'
+      input: [text]
    });

    const response: any = await PgClient.query(
--- a/client/src/pages/api/openapi/kb/updateData.ts
+++ b/client/src/pages/api/openapi/kb/updateData.ts
@@ -21,8 +21,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
      if (q) {
        return openaiEmbedding({
          userId,
-          input: [q],
-          type: 'chat'
+          input: [q]
        });
      }
      return [];
--- a/client/src/pages/api/openapi/plugin/openaiEmbedding.ts
+++ b/client/src/pages/api/openapi/plugin/openaiEmbedding.ts
@@ -1,31 +1,29 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { authUser, getApiKey } from '@/service/utils/auth';
+import { authUser, getApiKey, getSystemOpenAiKey } from '@/service/utils/auth';
 import { withNextCors } from '@/service/utils/tools';
 import { getOpenAIApi } from '@/service/utils/chat/openai';
 import { embeddingModel } from '@/constants/model';
 import { axiosConfig } from '@/service/utils/tools';
 import { pushGenerateVectorBill } from '@/service/events/pushBill';
-import { ApiKeyType } from '@/service/utils/auth';
 import { OpenAiChatEnum } from '@/constants/model';

 type Props = {
  input: string[];
-  type?: ApiKeyType;
 };
 type Response = number[][];

 export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
    const { userId } = await authUser({ req });
-    let { input, type } = req.query as Props;
+    let { input } = req.query as Props;

    if (!Array.isArray(input)) {
      throw new Error('缺少参数');
    }

    jsonRes<Response>(res, {
-      data: await openaiEmbedding({ userId, input, type, mustPay: true })
+      data: await openaiEmbedding({ userId, input, mustPay: true })
    });
  } catch (err) {
    console.log(err);
@@ -39,18 +37,17 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
 export async function openaiEmbedding({
  userId,
  input,
-  mustPay = false,
-  type = 'chat'
+  mustPay = false
 }: { userId: string; mustPay?: boolean } & Props) {
  const { userOpenAiKey, systemAuthKey } = await getApiKey({
-    model: OpenAiChatEnum.GPT35,
+    model: 'gpt-3.5-turbo',
    userId,
-    mustPay,
-    type
+    mustPay
  });
+  const apiKey = userOpenAiKey || systemAuthKey;

  // 获取 chatAPI
-  const chatAPI = getOpenAIApi();
+  const chatAPI = getOpenAIApi(apiKey);

  // 把输入的内容转成向量
  const result = await chatAPI
@@ -61,13 +58,19 @@ export async function openaiEmbedding({
      },
      {
        timeout: 60000,
-        ...axiosConfig(userOpenAiKey || systemAuthKey)
+        ...axiosConfig(apiKey)
      }
    )
-    .then((res) => ({
-      tokenLen: res.data.usage.total_tokens || 0,
-      vectors: res.data.data.map((item) => item.embedding)
-    }));
+    .then((res) => {
+      if (!res.data?.usage?.total_tokens) {
+        // @ts-ignore
+        return Promise.reject(res.data?.error?.message || 'Embedding Error');
+      }
+      return {
+        tokenLen: res.data.usage.total_tokens || 0,
+        vectors: res.data.data.map((item) => item.embedding)
+      };
+    });

  pushGenerateVectorBill({
    isPay: !userOpenAiKey,
--- a/client/src/pages/api/openapi/text/gptMessagesSlice.ts
+++ b/client/src/pages/api/openapi/text/gptMessagesSlice.ts
@@ -2,18 +2,18 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { authUser } from '@/service/utils/auth';
-import type { ChatItemSimpleType } from '@/types/chat';
+import type { ChatItemType } from '@/types/chat';
 import { countOpenAIToken } from '@/utils/plugin/openai';
 import { OpenAiChatEnum } from '@/constants/model';

 type ModelType = `${OpenAiChatEnum}`;

 type Props = {
-  messages: ChatItemSimpleType[];
+  messages: ChatItemType[];
  model: ModelType;
  maxLen: number;
 };
-type Response = ChatItemSimpleType[];
+type Response = ChatItemType[];

 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
  try {
@@ -45,11 +45,11 @@ export function gpt_chatItemTokenSlice({
  model,
  maxToken
 }: {
-  messages: ChatItemSimpleType[];
+  messages: ChatItemType[];
  model: ModelType;
  maxToken: number;
 }) {
-  let result: ChatItemSimpleType[] = [];
+  let result: ChatItemType[] = [];

  for (let i = 0; i < messages.length; i++) {
    const msgs = [...result, messages[i]];
--- a/client/src/pages/api/openapi/text/sensitiveCheck.ts
+++ b/client/src/pages/api/openapi/text/sensitiveCheck.ts
@@ -33,7 +33,7 @@ export async function sensitiveCheck({ input }: Props) {
  }

  const response = await axios({
-    ...axiosConfig(getSystemOpenAiKey('chat')),
+    ...axiosConfig(getSystemOpenAiKey()),
    method: 'POST',
    url: `/moderations`,
    data: {
--- a/client/src/pages/api/openapi/v1/chat/completions.ts
+++ b/client/src/pages/api/openapi/v1/chat/completions.ts
@@ -0,0 +1,335 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { connectToDatabase } from '@/service/mongo';
+import { authUser, authModel, getApiKey, authShareChat } from '@/service/utils/auth';
+import { modelServiceToolMap, V2_StreamResponse } from '@/service/utils/chat';
+import { jsonRes } from '@/service/response';
+import { ChatModelMap } from '@/constants/model';
+import { pushChatBill, updateShareChatBill } from '@/service/events/pushBill';
+import { ChatRoleEnum, sseResponseEventEnum } from '@/constants/chat';
+import { withNextCors } from '@/service/utils/tools';
+import { BillTypeEnum } from '@/constants/user';
+import { appKbSearch } from '../../../openapi/kb/appKbSearch';
+import type { CreateChatCompletionRequest } from 'openai';
+import { gptMessage2ChatType, textAdaptGptResponse } from '@/utils/adapt';
+import { getChatHistory } from './getHistory';
+import { saveChat } from '@/pages/api/chat/saveChat';
+import { sseResponse } from '@/service/utils/tools';
+import { type ChatCompletionRequestMessage } from 'openai';
+import { Types } from 'mongoose';
+import { sensitiveCheck } from '../../text/sensitiveCheck';
+
+export type MessageItemType = ChatCompletionRequestMessage & { _id?: string };
+type FastGptWebChatProps = {
+  chatId?: string; // undefined: nonuse history, '': new chat, 'xxxxx': use history
+  appId?: string;
+};
+type FastGptShareChatProps = {
+  password?: string;
+  shareId?: string;
+};
+export type Props = CreateChatCompletionRequest &
+  FastGptWebChatProps &
+  FastGptShareChatProps & {
+    messages: MessageItemType[];
+  };
+export type ChatResponseType = {
+  newChatId: string;
+  quoteLen?: number;
+};
+
+/* 发送提示词 */
+export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse) {
+  res.on('close', () => {
+    res.end();
+  });
+  res.on('error', () => {
+    console.log('error: ', 'request error');
+    res.end();
+  });
+
+  let { chatId, appId, shareId, password = '', stream = false, messages = [] } = req.body as Props;
+  let step = 0;
+
+  try {
+    if (!messages) {
+      throw new Error('Prams Error');
+    }
+    if (!Array.isArray(messages)) {
+      throw new Error('messages is not array');
+    }
+
+    await connectToDatabase();
+    let startTime = Date.now();
+
+    /* user auth */
+    const {
+      userId,
+      appId: authAppid,
+      authType
+    } = await (shareId
+      ? authShareChat({
+          shareId,
+          password
+        })
+      : authUser({ req }));
+
+    appId = appId ? appId : authAppid;
+    if (!appId) {
+      throw new Error('appId is empty');
+    }
+
+    // auth app permission
+    const { model, showModelDetail } = await authModel({
+      userId,
+      modelId: appId,
+      authOwner: false,
+      reserveDetail: true
+    });
+
+    const showAppDetail = !shareId && showModelDetail;
+
+    /* get api key */
+    const { systemAuthKey: apiKey, userOpenAiKey } = await getApiKey({
+      model: model.chat.chatModel,
+      userId,
+      mustPay: authType !== 'token'
+    });
+
+    // get history
+    const { history } = await getChatHistory({ chatId, userId });
+    const prompts = history.concat(gptMessage2ChatType(messages));
+    // adapt fastgpt web
+    if (prompts[prompts.length - 1].obj === 'AI') {
+      prompts.pop();
+    }
+    // user question
+    const prompt = prompts[prompts.length - 1];
+
+    const {
+      rawSearch = [],
+      userSystemPrompt = [],
+      userLimitPrompt = [],
+      quotePrompt = []
+    } = await (async () => {
+      // 使用了知识库搜索
+      if (model.chat.relatedKbs?.length > 0) {
+        const { rawSearch, quotePrompt, userSystemPrompt, userLimitPrompt } = await appKbSearch({
+          model,
+          userId,
+          fixedQuote: history[history.length - 1]?.quote,
+          prompt,
+          similarity: model.chat.searchSimilarity,
+          limit: model.chat.searchLimit
+        });
+
+        return {
+          rawSearch,
+          userSystemPrompt,
+          userLimitPrompt,
+          quotePrompt: [quotePrompt]
+        };
+      }
+      return {
+        userSystemPrompt: model.chat.systemPrompt
+          ? [
+              {
+                obj: ChatRoleEnum.System,
+                value: model.chat.systemPrompt
+              }
+            ]
+          : [],
+        userLimitPrompt: model.chat.limitPrompt
+          ? [
+              {
+                obj: ChatRoleEnum.Human,
+                value: model.chat.limitPrompt
+              }
+            ]
+          : []
+      };
+    })();
+
+    // search result is empty
+    if (model.chat.relatedKbs?.length > 0 && !quotePrompt[0]?.value && model.chat.searchEmptyText) {
+      const response = model.chat.searchEmptyText;
+      if (stream) {
+        sseResponse({
+          res,
+          event: sseResponseEventEnum.answer,
+          data: textAdaptGptResponse({
+            text: response,
+            model: model.chat.chatModel,
+            finish_reason: 'stop'
+          })
+        });
+        return res.end();
+      } else {
+        return res.json({
+          id: chatId || '',
+          model: model.chat.chatModel,
+          usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 },
+          choices: [
+            { message: [{ role: 'assistant', content: response }], finish_reason: 'stop', index: 0 }
+          ]
+        });
+      }
+    }
+
+    // api messages. [quote,context,systemPrompt,question]
+    const completePrompts = [
+      ...quotePrompt,
+      ...userSystemPrompt,
+      ...prompts.slice(0, -1),
+      ...userLimitPrompt,
+      prompt
+    ];
+    // chat temperature
+    const modelConstantsData = ChatModelMap[model.chat.chatModel];
+    // FastGpt temperature range: 1~10
+    const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed(
+      2
+    );
+
+    await sensitiveCheck({
+      input: `${userSystemPrompt[0]?.value}\n${userLimitPrompt[0]?.value}\n${prompt.value}`
+    });
+
+    // start model api. responseText and totalTokens: valid only if stream = false
+    const { streamResponse, responseMessages, responseText, totalTokens } =
+      await modelServiceToolMap[model.chat.chatModel].chatCompletion({
+        apiKey: userOpenAiKey || apiKey,
+        temperature: +temperature,
+        maxToken: model.chat.maxToken,
+        messages: completePrompts,
+        stream,
+        res
+      });
+
+    console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
+
+    if (res.closed) return res.end();
+
+    // create a chatId
+    const newChatId = chatId === '' ? new Types.ObjectId() : undefined;
+
+    // response answer
+    const {
+      textLen = 0,
+      answer = responseText,
+      tokens = totalTokens
+    } = await (async () => {
+      if (stream) {
+        // 创建响应流
+        res.setHeader('Content-Type', 'text/event-stream;charset-utf-8');
+        res.setHeader('Access-Control-Allow-Origin', '*');
+        res.setHeader('Transfer-Encoding', 'chunked');
+        res.setHeader('X-Accel-Buffering', 'no');
+        res.setHeader('Cache-Control', 'no-cache, no-transform');
+        step = 1;
+
+        try {
+          // response newChatId and quota
+          sseResponse({
+            res,
+            event: sseResponseEventEnum.chatResponse,
+            data: JSON.stringify({
+              newChatId,
+              quoteLen: rawSearch.length
+            })
+          });
+          // response answer
+          const { finishMessages, totalTokens, responseContent } = await V2_StreamResponse({
+            model: model.chat.chatModel,
+            res,
+            chatResponse: streamResponse,
+            prompts: responseMessages
+          });
+          return {
+            answer: responseContent,
+            textLen: finishMessages.map((item) => item.value).join('').length,
+            tokens: totalTokens
+          };
+        } catch (error) {
+          return Promise.reject(error);
+        }
+      } else {
+        return {
+          textLen: responseMessages.map((item) => item.value).join('').length
+        };
+      }
+    })();
+
+    // save chat history
+    if (typeof chatId === 'string') {
+      await saveChat({
+        newChatId,
+        chatId,
+        modelId: appId,
+        prompts: [
+          prompt,
+          {
+            _id: messages[messages.length - 1]._id,
+            obj: ChatRoleEnum.AI,
+            value: answer,
+            ...(showAppDetail
+              ? {
+                  quote: rawSearch,
+                  systemPrompt: `${userSystemPrompt[0]?.value}\n\n${userLimitPrompt[0]?.value}`
+                }
+              : {})
+          }
+        ],
+        userId
+      });
+    }
+
+    // close response
+    if (stream) {
+      res.end();
+    } else {
+      res.json({
+        ...(showAppDetail
+          ? {
+              rawSearch
+            }
+          : {}),
+        newChatId,
+        id: chatId || '',
+        model: model.chat.chatModel,
+        usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: tokens },
+        choices: [
+          { message: [{ role: 'assistant', content: answer }], finish_reason: 'stop', index: 0 }
+        ]
+      });
+    }
+
+    pushChatBill({
+      isPay: !userOpenAiKey,
+      chatModel: model.chat.chatModel,
+      userId,
+      textLen,
+      tokens,
+      type: authType === 'apikey' ? BillTypeEnum.openapiChat : BillTypeEnum.chat
+    });
+    shareId &&
+      updateShareChatBill({
+        shareId,
+        tokens
+      });
+  } catch (err: any) {
+    res.status(500);
+    if (step === 1) {
+      sseResponse({
+        res,
+        event: sseResponseEventEnum.error,
+        data: JSON.stringify(err)
+      });
+      res.end();
+    } else {
+      jsonRes(res, {
+        code: 500,
+        error: err
+      });
+    }
+  }
+});
--- a/client/src/pages/api/openapi/v1/chat/getHistory.ts
+++ b/client/src/pages/api/openapi/v1/chat/getHistory.ts
@@ -0,0 +1,66 @@
+// 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 { connectToDatabase, Chat } from '@/service/mongo';
+import { Types } from 'mongoose';
+import type { ChatItemType } from '@/types/chat';
+
+export type Props = {
+  chatId?: string;
+  limit?: number;
+};
+export type Response = { history: ChatItemType[] };
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    await connectToDatabase();
+    const { userId } = await authUser({ req });
+    const { chatId, limit } = req.body as Props;
+
+    jsonRes<Response>(res, {
+      data: await getChatHistory({
+        chatId,
+        userId,
+        limit
+      })
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
+
+export async function getChatHistory({
+  chatId,
+  userId,
+  limit = 50
+}: Props & { userId: string }): Promise<Response> {
+  if (!chatId) {
+    return { history: [] };
+  }
+
+  const history = await Chat.aggregate([
+    { $match: { _id: new Types.ObjectId(chatId), userId: new Types.ObjectId(userId) } },
+    {
+      $project: {
+        content: {
+          $slice: ['$content', -limit] // 返回 content 数组的最后50个元素
+        }
+      }
+    },
+    { $unwind: '$content' },
+    {
+      $project: {
+        _id: '$content._id',
+        obj: '$content.obj',
+        value: '$content.value',
+        quote: '$content.quote'
+      }
+    }
+  ]);
+
+  return { history };
+}
--- a/client/src/pages/api/system/getInitData.ts
+++ b/client/src/pages/api/system/getInitData.ts
@@ -5,13 +5,15 @@ import { jsonRes } from '@/service/response';
 export type InitDateResponse = {
  beianText: string;
  googleVerKey: string;
+  baiduTongji: boolean;
 };

 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
  jsonRes<InitDateResponse>(res, {
    data: {
      beianText: process.env.SAFE_BEIAN_TEXT || '',
-      googleVerKey: process.env.CLIENT_GOOGLE_VER_TOKEN || ''
+      googleVerKey: process.env.CLIENT_GOOGLE_VER_TOKEN || '',
+      baiduTongji: process.env.BAIDU_TONGJI === '1'
    }
  });
 }
--- a/client/src/pages/api/system/getModels.ts
+++ b/client/src/pages/api/system/getModels.ts
@@ -7,13 +7,9 @@ import { ChatModelMap, OpenAiChatEnum } from '@/constants/model';
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
  const chatModelList: ChatModelItemType[] = [];

-  if (global.systemEnv.openAIKeys) {
-    chatModelList.push(ChatModelMap[OpenAiChatEnum.GPT3516k]);
-    chatModelList.push(ChatModelMap[OpenAiChatEnum.GPT35]);
-  }
-  if (global.systemEnv.gpt4Key) {
-    chatModelList.push(ChatModelMap[OpenAiChatEnum.GPT4]);
-  }
+  chatModelList.push(ChatModelMap[OpenAiChatEnum.GPT3516k]);
+  chatModelList.push(ChatModelMap[OpenAiChatEnum.GPT35]);
+  chatModelList.push(ChatModelMap[OpenAiChatEnum.GPT4]);

  jsonRes(res, {
    data: chatModelList
--- a/client/src/pages/chat/components/ModelList.tsx
+++ b/client/src/pages/chat/components/ModelList.tsx
@@ -38,9 +38,6 @@ const ModelList = ({ models, modelId }: { models: ModelListItemType[]; modelId:
              <Box className="textEllipsis" color={'myGray.1000'}>
                {item.name}
              </Box>
-              <Box className="textEllipsis" color={'myGray.400'} fontSize={'sm'}>
-                {item.systemPrompt || '这个 应用 没有设置提示词~'}
-              </Box>
            </Box>
          </Flex>
        </Box>
--- a/client/src/pages/chat/index.tsx
+++ b/client/src/pages/chat/index.tsx
@@ -43,13 +43,13 @@ import { fileDownload } from '@/utils/file';
 import { htmlTemplate } from '@/constants/common';
 import { useUserStore } from '@/store/user';
 import Loading from '@/components/Loading';
-import Markdown from '@/components/Markdown';
 import SideBar from '@/components/SideBar';
 import Avatar from '@/components/Avatar';
 import Empty from './components/Empty';
 import QuoteModal from './components/QuoteModal';
 import { HUMAN_ICON } from '@/constants/chat';

+const Markdown = dynamic(async () => await import('@/components/Markdown'));
 const PhoneSliderBar = dynamic(() => import('./components/PhoneSliderBar'), {
  ssr: false
 });
@@ -59,6 +59,7 @@ const History = dynamic(() => import('./components/History'), {
 });

 import styles from './index.module.scss';
+import { adaptChatItem_openAI } from '@/utils/plugin/openai';

 const textareaMinH = '22px';

@@ -170,19 +171,15 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
      controller.current = abortSignal;
      isLeavePage.current = false;

-      const prompt: ChatItemType[] = prompts.map((item) => ({
-        _id: item._id,
-        obj: item.obj,
-        value: item.value
-      }));
+      const messages = adaptChatItem_openAI({ messages: prompts, reserveId: true });

      // 流请求，获取数据
-      const { newChatId, quoteLen, systemPrompt } = await streamFetch({
-        url: '/api/chat/chat',
+      const { newChatId, quoteLen, errMsg } = await streamFetch({
        data: {
-          prompt,
+          messages,
          chatId,
-          modelId
+          appId: modelId,
+          model: ''
        },
        onMessage: (text: string) => {
          setChatData((state) => ({
@@ -222,7 +219,9 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
            ...item,
            status: 'finish',
            quoteLen,
-            systemPrompt
+            systemPrompt: `${chatData.systemPrompt}${`${
+              chatData.limitPrompt ? `\n\n${chatData.limitPrompt}` : ''
+            }`}`
          };
        })
      }));
@@ -233,16 +232,26 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
        loadHistory({ pageNum: 1, init: true });
        loadMyModels(true);
      }, 100);
+
+      if (errMsg) {
+        toast({
+          status: 'warning',
+          title: errMsg
+        });
+      }
    },
    [
      chatId,
      modelId,
      setChatData,
-      loadHistory,
-      loadMyModels,
      generatingMessage,
      setForbidLoadChatData,
-      router
+      router,
+      chatData.systemPrompt,
+      chatData.limitPrompt,
+      loadHistory,
+      loadMyModels,
+      toast
    ]
  );

@@ -328,8 +337,8 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {

  // 删除一句话
  const delChatRecord = useCallback(
-    async (index: number, historyId: string) => {
-      if (!messageContextMenuData) return;
+    async (index: number, historyId?: string) => {
+      if (!messageContextMenuData || !historyId) return;
      setIsLoading(true);

      try {
@@ -738,7 +747,6 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
                          <Markdown
                            source={item.value}
                            isChatting={isChatting && index === chatData.history.length - 1}
-                            formatLink
                          />
                          <Flex>
                            {!!item.systemPrompt && (
@@ -752,7 +760,7 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
                                px={[2, 4]}
                                onClick={() => setShowSystemPrompt(item.systemPrompt || '')}
                              >
-                                提示词
+                                提示词 & 限定词
                              </Button>
                            )}
                            {!!item.quoteLen && (
--- a/client/src/pages/chat/share.tsx
+++ b/client/src/pages/chat/share.tsx
@@ -56,6 +56,7 @@ const ShareHistory = dynamic(() => import('./components/ShareHistory'), {
 });

 import styles from './index.module.scss';
+import { adaptChatItem_openAI } from '@/utils/plugin/openai';

 const textareaMinH = '22px';

@@ -170,19 +171,15 @@ const Chat = ({ shareId, historyId }: { shareId: string; historyId: string }) =>
      controller.current = abortSignal;
      isLeavePage.current = false;

-      const formatPrompts = prompts.map((item) => ({
-        obj: item.obj,
-        value: item.value
-      }));
+      const messages = adaptChatItem_openAI({ messages: prompts, reserveId: true });

      // 流请求，获取数据
      const { responseText } = await streamFetch({
-        url: '/api/chat/shareChat/chat',
        data: {
-          prompts: formatPrompts.slice(-shareChatData.maxContext - 1, -1),
+          messages: messages.slice(-shareChatData.maxContext - 1, -1),
          password,
          shareId,
-          historyId
+          model: ''
        },
        onMessage: (text: string) => {
          setShareChatData((state) => ({
@@ -226,7 +223,7 @@ const Chat = ({ shareId, historyId }: { shareId: string; historyId: string }) =>
      setShareChatHistory({
        historyId,
        shareId,
-        title: formatPrompts[formatPrompts.length - 2].value,
+        title: prompts[prompts.length - 2].value,
        latestChat: responseText,
        chats: responseHistory
      });
@@ -235,7 +232,7 @@ const Chat = ({ shareId, historyId }: { shareId: string; historyId: string }) =>
        {
          type: 'shareChatFinish',
          data: {
-            question: formatPrompts[formatPrompts.length - 2].value,
+            question: prompts[prompts.length - 2].value,
            answer: responseText
          }
        },
@@ -662,7 +659,6 @@ const Chat = ({ shareId, historyId }: { shareId: string; historyId: string }) =>
                        <Markdown
                          source={item.value}
                          isChatting={isChatting && index === shareChatData.history.length - 1}
-                          formatLink
                        />
                      </Card>
                    </Box>
--- a/client/src/pages/kb/components/SelectFileModal.tsx
+++ b/client/src/pages/kb/components/SelectFileModal.tsx
@@ -1,4 +1,4 @@
-import React, { useState, useCallback } from 'react';
+import React, { useState, useCallback, useRef } from 'react';
 import {
  Box,
  Flex,
@@ -24,24 +24,10 @@ import { TrainingModeEnum } from '@/constants/plugin';
 import { getErrText } from '@/utils/tools';
 import { ChatModelMap, OpenAiChatEnum, embeddingPrice } from '@/constants/model';
 import { formatPrice } from '@/utils/user';
+import MySlider from '@/components/Slider';

 const fileExtension = '.txt,.doc,.docx,.pdf,.md';

-const modeMap = {
-  [TrainingModeEnum.qa]: {
-    maxLen: 8000,
-    slideLen: 3000,
-    price: ChatModelMap[OpenAiChatEnum.GPT3516k].price,
-    isPrompt: true
-  },
-  [TrainingModeEnum.index]: {
-    maxLen: 1000,
-    slideLen: 500,
-    price: embeddingPrice,
-    isPrompt: false
-  }
-};
-
 const SelectFileModal = ({
  onClose,
  onSuccess,
@@ -51,6 +37,16 @@ const SelectFileModal = ({
  onSuccess: () => void;
  kbId: string;
 }) => {
+  const [modeMap, setModeMap] = useState({
+    [TrainingModeEnum.qa]: {
+      maxLen: 8000,
+      price: ChatModelMap[OpenAiChatEnum.GPT3516k].price
+    },
+    [TrainingModeEnum.index]: {
+      maxLen: 600,
+      price: embeddingPrice
+    }
+  });
  const [btnLoading, setBtnLoading] = useState(false);
  const { toast } = useToast();
  const [prompt, setPrompt] = useState('');
@@ -200,7 +196,7 @@ const SelectFileModal = ({
      });
    }
    setBtnLoading(false);
-  }, [files, mode, mutate, openConfirm, toast]);
+  }, [files, mode, modeMap, mutate, openConfirm, toast]);

  return (
    <Modal isOpen={true} onClose={onClose} isCentered>
@@ -244,19 +240,52 @@ const SelectFileModal = ({
            />
          </Flex>
          {/* 内容介绍 */}
-          {modeMap[mode].isPrompt && (
-            <Flex w={'100%'} px={5} alignItems={'center'} mt={4}>
-              <Box flex={'0 0 70px'} mr={2}>
-                下面是
-              </Box>
-              <Input
-                placeholder="提示词，例如: Laf的介绍/关于gpt4的论文/一段长文本"
-                value={prompt}
-                onChange={(e) => setPrompt(e.target.value)}
-                size={'sm'}
-              />
-            </Flex>
-          )}
+          <Flex w={'100%'} px={5} alignItems={'center'} mt={4}>
+            {mode === TrainingModeEnum.qa && (
+              <>
+                <Box flex={'0 0 70px'} mr={2}>
+                  下面是
+                </Box>
+                <Input
+                  placeholder="提示词，例如: Laf的介绍/关于gpt4的论文/一段长文本"
+                  value={prompt}
+                  onChange={(e) => setPrompt(e.target.value)}
+                  size={'sm'}
+                />
+              </>
+            )}
+            {/* chunk size */}
+            {mode === TrainingModeEnum.index && (
+              <Flex mt={5}>
+                <Box w={['70px']} flexShrink={0}>
+                  段落长度
+                </Box>
+                <Box flex={1} ml={'10px'}>
+                  <MySlider
+                    markList={[
+                      { label: '300', value: 300 },
+                      { label: '1000', value: 1000 }
+                    ]}
+                    width={['100%', '260px']}
+                    min={300}
+                    max={1000}
+                    step={50}
+                    activeVal={modeMap[TrainingModeEnum.index].maxLen}
+                    setVal={(val) => {
+                      setModeMap((state) => ({
+                        ...state,
+                        [TrainingModeEnum.index]: {
+                          maxLen: val,
+                          price: embeddingPrice
+                        }
+                      }));
+                    }}
+                  />
+                </Box>
+              </Flex>
+            )}
+          </Flex>
+
          {/* 文本内容 */}
          <Box flex={'1 0 0'} px={5} h={0} w={'100%'} overflowY={'auto'} mt={4}>
            {files.slice(0, 100).map((item, i) => (
--- a/client/src/pages/kb/components/Test.tsx
+++ b/client/src/pages/kb/components/Test.tsx
@@ -42,6 +42,12 @@ const Test = () => {
      pushKbTestItem(testItem);
      setInputText('');
      setKbTestItem(testItem);
+    },
+    onError(err) {
+      toast({
+        title: getErrText(err),
+        status: 'error'
+      });
    }
  });

--- a/client/src/pages/model/components/ModelList.tsx
+++ b/client/src/pages/model/components/ModelList.tsx
@@ -1,5 +1,5 @@
-import React, { useCallback, useMemo, useRef, useState } from 'react';
-import { Box, Flex, Input, IconButton, Tooltip, Tab, useTheme } from '@chakra-ui/react';
+import React, { useCallback, useMemo, useState } from 'react';
+import { Box, Flex, Input, IconButton, Tooltip, useTheme } from '@chakra-ui/react';
 import { AddIcon } from '@chakra-ui/icons';
 import { useRouter } from 'next/router';
 import MyIcon from '@/components/Icon';
@@ -12,10 +12,10 @@ import { MyModelsTypeEnum } from '@/constants/user';
 import dynamic from 'next/dynamic';

 const Avatar = dynamic(() => import('@/components/Avatar'), {
-  ssr: true
+  ssr: false
 });
 const Tabs = dynamic(() => import('@/components/Tabs'), {
-  ssr: true
+  ssr: false
 });

 const ModelList = ({ modelId }: { modelId: string }) => {
@@ -55,14 +55,12 @@ const ModelList = ({ modelId }: { modelId: string }) => {
  const currentModels = useMemo(() => {
    const map = {
      [MyModelsTypeEnum.my]: {
-        list: myModels.filter((item) =>
-          new RegExp(searchText, 'ig').test(item.name + item.systemPrompt)
-        ),
+        list: myModels.filter((item) => new RegExp(searchText, 'ig').test(item.name + item.intro)),
        emptyText: '还没有 AI 应用~\n快来创建一个吧'
      },
      [MyModelsTypeEnum.collection]: {
        list: myCollectionModels.filter((item) =>
-          new RegExp(searchText, 'ig').test(item.name + item.systemPrompt)
+          new RegExp(searchText, 'ig').test(item.name + item.intro)
        ),
        emptyText: '收藏的 AI 应用为空~\n快去市场找一个吧'
      }
--- a/client/src/pages/model/components/detail/components/API.tsx
+++ b/client/src/pages/model/components/detail/components/API.tsx
@@ -1,18 +1,17 @@
-import React, { useState } from 'react';
+import React, { useEffect, useState } from 'react';
 import { Box, Divider, Flex, useTheme, Button, Skeleton, useDisclosure } from '@chakra-ui/react';
 import { useCopyData } from '@/utils/tools';
 import dynamic from 'next/dynamic';
 import MyIcon from '@/components/Icon';

 const APIKeyModal = dynamic(() => import('@/components/APIKeyModal'), {
-  ssr: true
+  ssr: false
 });

-const baseUrl = 'https://fastgpt.run/api/openapi';
-
 const API = ({ modelId }: { modelId: string }) => {
  const theme = useTheme();
  const { copyData } = useCopyData();
+  const [baseUrl, setBaseUrl] = useState('https://fastgpt.run/api/openapi');
  const {
    isOpen: isOpenAPIModal,
    onOpen: onOpenAPIModal,
@@ -20,6 +19,10 @@ const API = ({ modelId }: { modelId: string }) => {
  } = useDisclosure();
  const [isLoaded, setIsLoaded] = useState(false);

+  useEffect(() => {
+    setBaseUrl(`${location.origin}/api/openapi`);
+  }, []);
+
  return (
    <Flex flexDirection={'column'} h={'100%'}>
      <Box display={['none', 'flex']} px={5} alignItems={'center'}>
--- a/client/src/pages/model/components/detail/components/Settings.tsx
+++ b/client/src/pages/model/components/detail/components/Settings.tsx
@@ -1,5 +1,15 @@
 import React, { useCallback, useState, useMemo } from 'react';
-import { Box, Flex, Button, FormControl, Input, Textarea, Divider } from '@chakra-ui/react';
+import {
+  Box,
+  Flex,
+  Button,
+  FormControl,
+  Input,
+  Textarea,
+  Divider,
+  Tooltip
+} from '@chakra-ui/react';
+import { QuestionOutlineIcon } from '@chakra-ui/icons';
 import { useQuery } from '@tanstack/react-query';
 import { useForm } from 'react-hook-form';
 import { useRouter } from 'next/router';
@@ -20,11 +30,17 @@ import Avatar from '@/components/Avatar';
 import MySelect from '@/components/Select';
 import MySlider from '@/components/Slider';

+const systemPromptTip =
+  '模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。';
+const limitPromptTip =
+  '限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。例如:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"';
+
 const Settings = ({ modelId }: { modelId: string }) => {
  const { toast } = useToast();
  const router = useRouter();
  const { Loading, setIsLoading } = useLoading();
-  const { userInfo, modelDetail, loadModelDetail, refreshModel, setLastModelId } = useUserStore();
+  const { userInfo, modelDetail, myModels, loadModelDetail, refreshModel, setLastModelId } =
+    useUserStore();
  const { File, onOpen: onOpenSelectFile } = useSelectFile({
    fileType: '.jpg,.png',
    multiple: false
@@ -36,11 +52,6 @@ const Settings = ({ modelId }: { modelId: string }) => {
  const [btnLoading, setBtnLoading] = useState(false);
  const [refresh, setRefresh] = useState(false);

-  const isOwner = useMemo(
-    () => modelDetail.userId === userInfo?._id,
-    [modelDetail.userId, userInfo?._id]
-  );
-
  const {
    register,
    setValue,
@@ -52,6 +63,20 @@ const Settings = ({ modelId }: { modelId: string }) => {
    defaultValues: modelDetail
  });

+  const isOwner = useMemo(
+    () => modelDetail.userId === userInfo?._id,
+    [modelDetail.userId, userInfo?._id]
+  );
+  const tokenLimit = useMemo(() => {
+    const max = ChatModelMap[getValues('chat.chatModel')]?.contextMaxToken || 4000;
+
+    if (max < getValues('chat.maxToken')) {
+      setValue('chat.maxToken', max);
+    }
+
+    return max;
+  }, [getValues, setValue, refresh]);
+
  // 提交保存模型修改
  const saveSubmitSuccess = useCallback(
    async (data: ModelSchema) => {
@@ -110,7 +135,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
        status: 'success'
      });
      refreshModel.removeModelDetail(modelDetail._id);
-      router.replace('/model');
+      router.replace(`/model?modelId=${myModels[1]?._id}`);
    } catch (err: any) {
      toast({
        title: err?.message || '删除失败',
@@ -118,7 +143,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
      });
    }
    setIsLoading(false);
-  }, [modelDetail, setIsLoading, toast, refreshModel, router]);
+  }, [modelDetail, setIsLoading, toast, refreshModel, router, myModels]);

  const onSelectFile = useCallback(
    async (e: File[]) => {
@@ -147,6 +172,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
    onSuccess(res) {
      res && reset(res);
      modelId && setLastModelId(modelId);
+      setRefresh(!refresh);
    },
    onError(err: any) {
      toast({
@@ -200,7 +226,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
          介绍
        </Box>
        <Textarea
-          rows={5}
+          rows={4}
          maxLength={500}
          placeholder={'给你的 AI 应用一个介绍'}
          {...register('intro')}
@@ -214,11 +240,14 @@ const Settings = ({ modelId }: { modelId: string }) => {
          对话模型
        </Box>
        <MySelect
-          width={['200px', '240px']}
+          width={['90%', '280px']}
          value={getValues('chat.chatModel')}
          list={chatModelList.map((item) => ({
            id: item.chatModel,
-            label: item.name
+            label: `${item.name} (${formatPrice(
+              ChatModelMap[item.chatModel]?.price,
+              1000
+            )} 元/1k tokens)`
          }))}
          onchange={(val: any) => {
            setValue('chat.chatModel', val);
@@ -226,15 +255,6 @@ const Settings = ({ modelId }: { modelId: string }) => {
          }}
        />
      </Flex>
-      <Flex alignItems={'center'} mt={5}>
-        <Box w={['60px', '100px', '140px']} flexShrink={0}>
-          价格
-        </Box>
-        <Box fontSize={['sm', 'md']}>
-          {formatPrice(ChatModelMap[getValues('chat.chatModel')]?.price, 1000)}
-          元/1K tokens(包括上下文和回答)
-        </Box>
-      </Flex>
      <Flex alignItems={'center'} my={10}>
        <Box w={['60px', '100px', '140px']} flexShrink={0}>
          温度
@@ -245,7 +265,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
              { label: '严谨', value: 0 },
              { label: '发散', value: 10 }
            ]}
-            width={['100%', '260px']}
+            width={['90%', '260px']}
            min={0}
            max={10}
            activeVal={getValues('chat.temperature')}
@@ -256,18 +276,54 @@ const Settings = ({ modelId }: { modelId: string }) => {
          />
        </Box>
      </Flex>
+      <Flex alignItems={'center'} mt={12} mb={10}>
+        <Box w={['60px', '100px', '140px']} flexShrink={0}>
+          回复上限
+        </Box>
+        <Box flex={1} ml={'10px'}>
+          <MySlider
+            markList={[
+              { label: '100', value: 100 },
+              { label: `${tokenLimit}`, value: tokenLimit }
+            ]}
+            width={['90%', '260px']}
+            min={100}
+            max={tokenLimit}
+            step={50}
+            activeVal={getValues('chat.maxToken')}
+            setVal={(val) => {
+              setValue('chat.maxToken', val);
+              setRefresh(!refresh);
+            }}
+          />
+        </Box>
+      </Flex>
      <Flex mt={10} alignItems={'flex-start'}>
        <Box w={['60px', '100px', '140px']} flexShrink={0}>
          提示词
+          <Tooltip label={systemPromptTip}>
+            <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
+          </Tooltip>
        </Box>
        <Textarea
          rows={8}
-          placeholder={
-            '模型默认的 prompt 词，通过调整该内容，可以引导模型聊天方向。\n\n如果使用了知识库搜索，没有填写该内容时，系统会自动补充提示词；如果填写了内容，则以填写的内容为准。'
-          }
+          placeholder={systemPromptTip}
          {...register('chat.systemPrompt')}
        ></Textarea>
      </Flex>
+      <Flex mt={5} alignItems={'flex-start'}>
+        <Box w={['60px', '100px', '140px']} flexShrink={0}>
+          限定词
+          <Tooltip label={limitPromptTip}>
+            <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
+          </Tooltip>
+        </Box>
+        <Textarea
+          rows={5}
+          placeholder={limitPromptTip}
+          {...register('chat.limitPrompt')}
+        ></Textarea>
+      </Flex>

      <Flex mt={5} alignItems={'center'}>
        <Box w={['60px', '100px', '140px']} flexShrink={0}></Box>
@@ -276,6 +332,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
          w={'120px'}
          size={['sm', 'md']}
          isLoading={btnLoading}
+          isDisabled={!isOwner}
          onClick={async () => {
            try {
              await saveUpdateModel();
@@ -289,7 +346,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
            }
          }}
        >
-          保存
+          {isOwner ? '保存' : '仅读，无法修改'}
        </Button>
        <Button
          mr={3}
@@ -309,17 +366,20 @@ const Settings = ({ modelId }: { modelId: string }) => {
        >
          对话
        </Button>
-        <Button
-          colorScheme={'gray'}
-          variant={'base'}
-          size={['sm', 'md']}
-          isLoading={btnLoading}
-          _hover={{ color: 'red.600' }}
-          onClick={openConfirm(handleDelModel)}
-        >
-          删除
-        </Button>
+        {isOwner && (
+          <Button
+            colorScheme={'gray'}
+            variant={'base'}
+            size={['sm', 'md']}
+            isLoading={btnLoading}
+            _hover={{ color: 'red.600' }}
+            onClick={openConfirm(handleDelModel)}
+          >
+            删除
+          </Button>
+        )}
      </Flex>
+
      <File onSelect={onSelectFile} />
      <ConfirmChild />
      <Loading loading={isLoading} fixed={false} />
--- a/client/src/pages/model/components/detail/index.tsx
+++ b/client/src/pages/model/components/detail/index.tsx
@@ -1,4 +1,4 @@
-import React, { useState, useEffect } from 'react';
+import React, { useState, useEffect, useMemo } from 'react';
 import { useRouter } from 'next/router';
 import { Box, Flex } from '@chakra-ui/react';
 import { useUserStore } from '@/store/user';
@@ -7,15 +7,16 @@ import dynamic from 'next/dynamic';
 import Tabs from '@/components/Tabs';

 import Settings from './components/Settings';
+import { defaultModel } from '@/constants/model';

 const Kb = dynamic(() => import('./components/Kb'), {
-  ssr: true
+  ssr: false
 });
 const Share = dynamic(() => import('./components/Share'), {
-  ssr: true
+  ssr: false
 });
 const API = dynamic(() => import('./components/API'), {
-  ssr: true
+  ssr: false
 });

 enum TabEnum {
@@ -28,9 +29,14 @@ enum TabEnum {
 const ModelDetail = ({ modelId }: { modelId: string }) => {
  const router = useRouter();
  const { isPc } = useGlobalStore();
-  const { modelDetail } = useUserStore();
+  const { modelDetail = defaultModel, userInfo } = useUserStore();
  const [currentTab, setCurrentTab] = useState<`${TabEnum}`>(TabEnum.settings);

+  const isOwner = useMemo(
+    () => modelDetail.userId === userInfo?._id,
+    [modelDetail.userId, userInfo?._id]
+  );
+
  useEffect(() => {
    window.onbeforeunload = (e) => {
      e.preventDefault();
@@ -67,7 +73,7 @@ const ModelDetail = ({ modelId }: { modelId: string }) => {
          w={['300px', '360px']}
          list={[
            { label: '配置', id: TabEnum.settings },
-            { label: '知识库', id: TabEnum.kb },
+            ...(isOwner ? [{ label: '知识库', id: TabEnum.kb }] : []),
            { label: '分享', id: TabEnum.share },
            { label: 'API', id: TabEnum.API },
            { label: '立即对话', id: 'startChat' }
--- a/client/src/pages/model/index.tsx
+++ b/client/src/pages/model/index.tsx
@@ -10,7 +10,7 @@ import SideBar from '@/components/SideBar';

 const ModelDetail = dynamic(() => import('./components/detail/index'), {
  loading: () => <Loading fixed={false} />,
-  ssr: true
+  ssr: false
 });

 const Model = ({ modelId }: { modelId: string }) => {
--- a/client/src/pages/number/components/PayModal.tsx
+++ b/client/src/pages/number/components/PayModal.tsx
@@ -114,10 +114,10 @@ const PayModal = ({ onClose }: { onClose: () => void }) => {
 | 计费项 | 价格: 元/ 1K tokens(包含上下文)|
 | --- | --- |
 | 知识库 - 索引 | 0.001 |
-| chatgpt - 对话 | 0.022 |
-| chatgpt16K - 对话 | 0.025 |
-| gpt4 - 对话 | 0.5 |
-| 文件拆分 | 0.025 |`}
+| chatgpt - 对话 | 0.015 |
+| chatgpt16K - 对话 | 0.015 |
+| gpt4 - 对话 | 0.1 |
+| 文件拆分 | 0.015 |`}
                />
              </>
            )}
--- a/client/src/pages/number/index.tsx
+++ b/client/src/pages/number/index.tsx
@@ -23,21 +23,21 @@ import Tabs from '@/components/Tabs';
 import BillTable from './components/BillTable';

 const PayRecordTable = dynamic(() => import('./components/PayRecordTable'), {
-  ssr: true
+  ssr: false
 });
 const PromotionTable = dynamic(() => import('./components/PromotionTable'), {
-  ssr: true
+  ssr: false
 });
 const InformTable = dynamic(() => import('./components/InformTable'), {
-  ssr: true
+  ssr: false
 });
 const PayModal = dynamic(() => import('./components/PayModal'), {
  loading: () => <Loading fixed={false} />,
-  ssr: true
+  ssr: false
 });
 const WxConcat = dynamic(() => import('@/components/WxConcat'), {
  loading: () => <Loading fixed={false} />,
-  ssr: true
+  ssr: false
 });

 enum TableEnum {
@@ -54,7 +54,6 @@ const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
    { label: '佣金', id: TableEnum.promotion, Component: <PromotionTable /> },
    { label: '通知', id: TableEnum.inform, Component: <InformTable /> }
  ]);
-  const [currentTab, setCurrentTab] = useState(tableType);

  const router = useRouter();
  const { copyData } = useCopyData();
@@ -84,7 +83,14 @@ const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
    async (data: UserUpdateParams) => {
      setLoading(true);
      try {
-        data.openaiKey && (await authOpenAiKey(data.openaiKey));
+        if (data.openaiKey) {
+          const text = await authOpenAiKey(data.openaiKey);
+          text &&
+            toast({
+              title: text,
+              status: 'warning'
+            });
+        }
        await putUserInfo({
          openaiKey: data.openaiKey,
          avatar: data.avatar
@@ -95,7 +101,7 @@ const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
        });
        reset(data);
        toast({
-          title: '更新成功',
+          title: '更新数据成功',
          status: 'success'
        });
      } catch (error) {
@@ -195,7 +201,7 @@ const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
            <Box flex={'0 0 85px'}>openaiKey:</Box>
            <Input
              {...register(`openaiKey`)}
-              maxW={'300px'}
+              maxW={'350px'}
              placeholder={'openai账号。回车或失去焦点保存'}
              size={'sm'}
              onBlur={handleSubmit(onclickSave)}
@@ -251,13 +257,13 @@ const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
          m={'auto'}
          w={'200px'}
          list={tableList.current}
-          activeId={currentTab}
+          activeId={tableType}
          size={'sm'}
-          onChange={(id: any) => setCurrentTab(id)}
+          onChange={(id: any) => router.replace(`/number?type=${id}`)}
        />
        <Box minH={'300px'}>
          {(() => {
-            const item = tableList.current.find((item) => item.id === currentTab);
+            const item = tableList.current.find((item) => item.id === tableType);

            return item ? item.Component : null;
          })()}
--- a/client/src/service/events/generateQA.ts
+++ b/client/src/service/events/generateQA.ts
@@ -23,34 +23,10 @@ export async function generateQA(): Promise<any> {
  let userId = '';

  try {
-    const match = {
-      mode: TrainingModeEnum.qa,
-      lockTime: { $lte: new Date(Date.now() - 4 * 60 * 1000) }
-    };
-    // random get task
-    const agree = await TrainingData.aggregate([
-      {
-        $match: match
-      },
-      { $sample: { size: 1 } },
-      {
-        $project: {
-          _id: 1
-        }
-      }
-    ]);
-
-    // no task
-    if (agree.length === 0) {
-      reduceQueue();
-      global.qaQueueLen <= 0 && console.log(`没有需要【QA】的数据, ${global.qaQueueLen}`);
-      return;
-    }
-
    const data = await TrainingData.findOneAndUpdate(
      {
-        _id: agree[0]._id,
-        ...match
+        mode: TrainingModeEnum.qa,
+        lockTime: { $lte: new Date(Date.now() - 4 * 60 * 1000) }
      },
      {
        lockTime: new Date()
@@ -67,7 +43,8 @@ export async function generateQA(): Promise<any> {
    // task preemption
    if (!data) {
      reduceQueue();
-      return generateQA();
+      global.qaQueueLen <= 0 && console.log(`没有需要【QA】的数据, ${global.qaQueueLen}`);
+      return;
    }

    trainingId = data._id;
@@ -78,7 +55,6 @@ export async function generateQA(): Promise<any> {
    const { systemAuthKey } = await getApiKey({
      model: OpenAiChatEnum.GPT35,
      userId,
-      type: 'training',
      mustPay: true
    });

@@ -177,7 +153,8 @@ A2:
      sendInform({
        type: 'system',
        title: 'QA 任务中止',
-        content: '由于账号余额不足，QA 任务中止，重新充值后将会继续。',
+        content:
+          '由于账号余额不足，索引生成任务中止，重新充值后将会继续。暂停的任务将在 7 天后被删除。',
        userId
      });
      console.log('余额不足，暂停向量生成任务');
--- a/client/src/service/events/generateVector.ts
+++ b/client/src/service/events/generateVector.ts
@@ -19,34 +19,10 @@ export async function generateVector(): Promise<any> {
  let userId = '';

  try {
-    const match = {
-      mode: TrainingModeEnum.index,
-      lockTime: { $lte: new Date(Date.now() - 2 * 60 * 1000) }
-    };
-    // random get task
-    const agree = await TrainingData.aggregate([
-      {
-        $match: match
-      },
-      { $sample: { size: 1 } },
-      {
-        $project: {
-          _id: 1
-        }
-      }
-    ]);
-
-    // no task
-    if (agree.length === 0) {
-      reduceQueue();
-      global.vectorQueueLen <= 0 && console.log(`没有需要【索引】的数据, ${global.vectorQueueLen}`);
-      return;
-    }
-
    const data = await TrainingData.findOneAndUpdate(
      {
-        _id: agree[0]._id,
-        ...match
+        mode: TrainingModeEnum.index,
+        lockTime: { $lte: new Date(Date.now() - 2 * 60 * 1000) }
      },
      {
        lockTime: new Date()
@@ -63,7 +39,8 @@ export async function generateVector(): Promise<any> {
    // task preemption
    if (!data) {
      reduceQueue();
-      return generateVector();
+      global.vectorQueueLen <= 0 && console.log(`没有需要【索引】的数据, ${global.vectorQueueLen}`);
+      return;
    }

    trainingId = data._id;
@@ -81,7 +58,6 @@ export async function generateVector(): Promise<any> {
    const vectors = await openaiEmbedding({
      input: dataItems.map((item) => item.q),
      userId,
-      type: 'training',
      mustPay: true
    });

@@ -128,7 +104,8 @@ export async function generateVector(): Promise<any> {
      sendInform({
        type: 'system',
        title: '索引生成任务中止',
-        content: '由于账号余额不足，索引生成任务中止，重新充值后将会继续。',
+        content:
+          '由于账号余额不足，索引生成任务中止，重新充值后将会继续。暂停的任务将在 7 天后被删除。',
        userId
      });
      console.log('余额不足，暂停向量生成任务');
--- a/client/src/service/models/chat.ts
+++ b/client/src/service/models/chat.ts
@@ -52,7 +52,7 @@ const ChatSchema = new Schema({
        },
        value: {
          type: String,
-          required: true
+          default: ''
        },
        quote: {
          type: [
--- a/client/src/service/models/model.ts
+++ b/client/src/service/models/model.ts
@@ -43,10 +43,18 @@ const ModelSchema = new Schema({
      default: ''
    },
    systemPrompt: {
-      // 系统提示词
      type: String,
      default: ''
    },
+    limitPrompt: {
+      type: String,
+      default: ''
+    },
+    maxToken: {
+      type: Number,
+      default: 4000,
+      min: 100
+    },
    temperature: {
      type: Number,
      min: 0,
--- a/client/src/service/models/system.ts
+++ b/client/src/service/models/system.ts
@@ -1,18 +1,6 @@
 import { Schema, model, models } from 'mongoose';

 const SystemSchema = new Schema({
-  openAIKeys: {
-    type: String,
-    default: ''
-  },
-  openAITrainingKeys: {
-    type: String,
-    default: ''
-  },
-  gpt4Key: {
-    type: String,
-    default: ''
-  },
  vectorMaxProcess: {
    type: Number,
    default: 10
--- a/client/src/service/models/trainingData.ts
+++ b/client/src/service/models/trainingData.ts
@@ -15,6 +15,10 @@ const TrainingDataSchema = new Schema({
    ref: 'kb',
    required: true
  },
+  expireAt: {
+    type: Date,
+    default: () => new Date()
+  },
  lockTime: {
    type: Date,
    default: () => new Date('2000/1/1')
@@ -44,5 +48,13 @@ const TrainingDataSchema = new Schema({
  }
 });

+try {
+  TrainingDataSchema.index({ lockTime: 1 });
+  TrainingDataSchema.index({ userId: 1 });
+  TrainingDataSchema.index({ expireAt: 1 }, { expireAfterSeconds: 7 * 24 * 60 });
+} catch (error) {
+  console.log(error);
+}
+
 export const TrainingData: MongoModel<TrainingDateType> =
  models['trainingData'] || model('trainingData', TrainingDataSchema);
--- a/client/src/service/mongo.ts
+++ b/client/src/service/mongo.ts
@@ -15,9 +15,6 @@ export async function connectToDatabase(): Promise<void> {
  global.qaQueueLen = 0;
  global.vectorQueueLen = 0;
  global.systemEnv = {
-    openAIKeys: process.env.OPENAIKEY || '',
-    openAITrainingKeys: process.env.OPENAI_TRAINING_KEY || '',
-    gpt4Key: process.env.GPT4KEY || '',
    vectorMaxProcess: 10,
    qaMaxProcess: 10,
    pgIvfflatProbe: 10,
@@ -39,9 +36,9 @@ export async function connectToDatabase(): Promise<void> {
    global.mongodb = await mongoose.connect(process.env.MONGODB_URI as string, {
      bufferCommands: true,
      dbName: process.env.MONGODB_NAME,
-      maxConnecting: 30,
-      maxPoolSize: 30,
-      minPoolSize: 10
+      maxConnecting: Number(process.env.DB_MAX_LINK || 5),
+      maxPoolSize: Number(process.env.DB_MAX_LINK || 5),
+      minPoolSize: 2
    });
    console.log('mongo connected');
  } catch (error) {
--- a/client/src/service/pg.ts
+++ b/client/src/service/pg.ts
@@ -12,7 +12,7 @@ export const connectPg = async () => {
    user: process.env.PG_USER,
    password: process.env.PG_PASSWORD,
    database: process.env.PG_DB_NAME,
-    max: global.systemEnv.vectorMaxProcess + 10,
+    max: Number(process.env.DB_MAX_LINK || 5),
    idleTimeoutMillis: 30000,
    connectionTimeoutMillis: 5000
  });
--- a/client/src/service/utils/auth.ts
+++ b/client/src/service/utils/auth.ts
@@ -3,15 +3,15 @@ import jwt from 'jsonwebtoken';
 import Cookie from 'cookie';
 import { Chat, Model, OpenApi, User, ShareChat, KB } from '../mongo';
 import type { ModelSchema } from '@/types/mongoSchema';
-import type { ChatItemSimpleType } from '@/types/chat';
+import type { ChatItemType } from '@/types/chat';
 import mongoose from 'mongoose';
-import { ClaudeEnum, defaultModel, embeddingModel, EmbeddingModelType } from '@/constants/model';
+import { defaultModel } from '@/constants/model';
 import { formatPrice } from '@/utils/user';
 import { ERROR_ENUM } from '../errorCode';
 import { ChatModelType, OpenAiChatEnum } from '@/constants/model';
 import { hashPassword } from '@/service/utils/tools';

-export type ApiKeyType = 'training' | 'chat';
+export type AuthType = 'token' | 'root' | 'apikey';

 export const parseCookie = (cookie?: string): Promise<string> => {
  return new Promise((resolve, reject) => {
@@ -39,13 +39,11 @@ export const parseCookie = (cookie?: string): Promise<string> => {
 export const authUser = async ({
  req,
  authToken = false,
-  authOpenApi = false,
  authRoot = false,
  authBalance = false
 }: {
  req: NextApiRequest;
  authToken?: boolean;
-  authOpenApi?: boolean;
  authRoot?: boolean;
  authBalance?: boolean;
 }) => {
@@ -71,6 +69,36 @@ export const authUser = async ({
      return Promise.reject(error);
    }
  };
+  const parseAuthorization = async (authorization?: string) => {
+    if (!authorization) {
+      return Promise.reject(ERROR_ENUM.unAuthorization);
+    }
+
+    // Bearer fastgpt-xxxx-appId
+    const auth = authorization.split(' ')[1];
+    if (!auth) {
+      return Promise.reject(ERROR_ENUM.unAuthorization);
+    }
+
+    const { apiKey, appId } = await (async () => {
+      const arr = auth.split('-');
+      if (arr.length !== 3) {
+        return Promise.reject(ERROR_ENUM.unAuthorization);
+      }
+      return {
+        apiKey: `${arr[0]}-${arr[1]}`,
+        appId: arr[2]
+      };
+    })();
+
+    // auth apiKey
+    const uid = await parseOpenApiKey(apiKey);
+
+    return {
+      uid,
+      appId
+    };
+  };
  const parseRootKey = async (rootKey?: string, userId = '') => {
    if (!rootKey || !process.env.ROOT_KEY || rootKey !== process.env.ROOT_KEY) {
      return Promise.reject(ERROR_ENUM.unAuthorization);
@@ -78,31 +106,43 @@ export const authUser = async ({
    return userId;
  };

-  const { cookie, apikey, rootkey, userid } = (req.headers || {}) as {
+  const { cookie, apikey, rootkey, userid, authorization } = (req.headers || {}) as {
    cookie?: string;
    apikey?: string;
    rootkey?: string;
    userid?: string;
+    authorization?: string;
  };

  let uid = '';
+  let appId = '';
+  let authType: AuthType = 'token';

  if (authToken) {
    uid = await parseCookie(cookie);
-  } else if (authOpenApi) {
-    uid = await parseOpenApiKey(apikey);
+    authType = 'token';
  } else if (authRoot) {
    uid = await parseRootKey(rootkey, userid);
+    authType = 'root';
  } else if (cookie) {
    uid = await parseCookie(cookie);
+    authType = 'token';
  } else if (apikey) {
    uid = await parseOpenApiKey(apikey);
+    authType = 'apikey';
+  } else if (authorization) {
+    const authResponse = await parseAuthorization(authorization);
+    uid = authResponse.uid;
+    appId = authResponse.appId;
+    authType = 'apikey';
  } else if (rootkey) {
    uid = await parseRootKey(rootkey, userid);
+    authType = 'root';
  } else {
    return Promise.reject(ERROR_ENUM.unAuthorization);
  }

+  // balance check
  if (authBalance) {
    const user = await User.findById(uid);
    if (!user) {
@@ -115,44 +155,28 @@ export const authUser = async ({
  }

  return {
-    userId: uid
+    userId: uid,
+    appId,
+    authType
  };
 };

 /* random get openai api key */
-export const getSystemOpenAiKey = (type: ApiKeyType) => {
-  const keys = (() => {
-    if (type === 'training') {
-      return global.systemEnv.openAITrainingKeys?.split(',') || [];
-    }
-    return global.systemEnv.openAIKeys?.split(',') || [];
-  })();
-
-  // 纯字符串类型
-  const i = Math.floor(Math.random() * keys.length);
-  return keys[i] || (global.systemEnv.openAIKeys as string);
-};
-export const getGpt4Key = () => {
-  const keys = global.systemEnv.gpt4Key?.split(',') || [];
-
-  // 纯字符串类型
-  const i = Math.floor(Math.random() * keys.length);
-  return keys[i] || (global.systemEnv.openAIKeys as string);
+export const getSystemOpenAiKey = () => {
+  return process.env.ONEAPI_KEY || process.env.OPENAIKEY || '';
 };

 /* 获取 api 请求的 key */
 export const getApiKey = async ({
  model,
  userId,
-  mustPay = false,
-  type = 'chat'
+  mustPay = false
 }: {
  model: ChatModelType;
  userId: string;
  mustPay?: boolean;
-  type?: ApiKeyType;
 }) => {
-  const user = await User.findById(userId);
+  const user = await User.findById(userId, 'openaiKey balance');
  if (!user) {
    return Promise.reject(ERROR_ENUM.unAuthorization);
  }
@@ -160,30 +184,29 @@ export const getApiKey = async ({
  const keyMap = {
    [OpenAiChatEnum.GPT35]: {
      userOpenAiKey: user.openaiKey || '',
-      systemAuthKey: getSystemOpenAiKey(type) as string
+      systemAuthKey: getSystemOpenAiKey()
    },
    [OpenAiChatEnum.GPT3516k]: {
      userOpenAiKey: user.openaiKey || '',
-      systemAuthKey: getSystemOpenAiKey(type) as string
+      systemAuthKey: getSystemOpenAiKey()
    },
    [OpenAiChatEnum.GPT4]: {
      userOpenAiKey: user.openaiKey || '',
-      systemAuthKey: getGpt4Key() as string
+      systemAuthKey: getSystemOpenAiKey()
    },
    [OpenAiChatEnum.GPT432k]: {
      userOpenAiKey: user.openaiKey || '',
-      systemAuthKey: getGpt4Key() as string
-    },
-    [ClaudeEnum.Claude]: {
-      userOpenAiKey: '',
-      systemAuthKey: process.env.CLAUDE_KEY as string
+      systemAuthKey: getSystemOpenAiKey()
    }
  };

+  if (!keyMap[model]) {
+    return Promise.reject('App  model is exists');
+  }
+
  // 有自己的key
-  if (!mustPay && keyMap[model]?.userOpenAiKey) {
+  if (!mustPay && keyMap[model].userOpenAiKey) {
    return {
-      user,
      userOpenAiKey: keyMap[model].userOpenAiKey,
      systemAuthKey: ''
    };
@@ -195,7 +218,6 @@ export const getApiKey = async ({
  }

  return {
-    user,
    userOpenAiKey: '',
    systemAuthKey: keyMap[model].systemAuthKey
  };
@@ -240,7 +262,7 @@ export const authModel = async ({

  return {
    model,
-    showModelDetail: model.share.isShareDetail || userId === String(model.userId)
+    showModelDetail: userId === String(model.userId)
  };
 };

@@ -277,7 +299,7 @@ export const authChat = async ({
  });

  // 聊天内容
-  let content: ChatItemSimpleType[] = [];
+  let content: ChatItemType[] = [];

  if (chatId) {
    // 获取 chat 数据
@@ -336,28 +358,9 @@ export const authShareChat = async ({
    });
  }

-  const modelId = String(shareChat.modelId);
-  const userId = String(shareChat.userId);
-
-  // 获取 model 数据
-  const { model, showModelDetail } = await authModel({
-    modelId,
-    userId,
-    authOwner: false,
-    reserveDetail: true
-  });
-
-  // 获取 user 的 apiKey
-  const { userOpenAiKey, systemAuthKey } = await getApiKey({
-    model: model.chat.chatModel,
-    userId
-  });
-
  return {
-    userOpenAiKey,
-    systemAuthKey,
-    userId,
-    model,
-    showModelDetail
+    userId: String(shareChat.userId),
+    appId: String(shareChat.modelId),
+    authType: 'token' as AuthType
  };
 };
--- a/client/src/service/utils/chat/index.ts
+++ b/client/src/service/utils/chat/index.ts
@@ -1,35 +1,38 @@
-import { ChatItemSimpleType } from '@/types/chat';
+import { ChatItemType } from '@/types/chat';
 import { modelToolMap } from '@/utils/plugin';
 import type { ChatModelType } from '@/constants/model';
-import { ChatRoleEnum } from '@/constants/chat';
-import { OpenAiChatEnum, ClaudeEnum } from '@/constants/model';
+import { ChatRoleEnum, sseResponseEventEnum } from '@/constants/chat';
+import { sseResponse } from '../tools';
+import { OpenAiChatEnum } from '@/constants/model';
 import { chatResponse, openAiStreamResponse } from './openai';
-import { claudChat, claudStreamResponse } from './claude';
 import type { NextApiResponse } from 'next';
+import { textAdaptGptResponse } from '@/utils/adapt';
+import { parseStreamChunk } from '@/utils/adapt';

 export type ChatCompletionType = {
  apiKey: string;
  temperature: number;
-  messages: ChatItemSimpleType[];
+  maxToken?: number;
+  messages: ChatItemType[];
  chatId?: string;
  [key: string]: any;
 };
 export type ChatCompletionResponseType = {
  streamResponse: any;
-  responseMessages: ChatItemSimpleType[];
+  responseMessages: ChatItemType[];
  responseText: string;
  totalTokens: number;
 };
 export type StreamResponseType = {
  chatResponse: any;
-  prompts: ChatItemSimpleType[];
+  prompts: ChatItemType[];
  res: NextApiResponse;
  [key: string]: any;
 };
 export type StreamResponseReturnType = {
  responseContent: string;
  totalTokens: number;
-  finishMessages: ChatItemSimpleType[];
+  finishMessages: ChatItemType[];
 };

 export const modelServiceToolMap: Record<
@@ -74,15 +77,11 @@ export const modelServiceToolMap: Record<
        model: OpenAiChatEnum.GPT432k,
        ...data
      })
-  },
-  [ClaudeEnum.Claude]: {
-    chatCompletion: claudChat,
-    streamResponse: claudStreamResponse
  }
 };

 /* delete invalid symbol */
-const simplifyStr = (str: string) =>
+const simplifyStr = (str = '') =>
  str
    .replace(/\n+/g, '\n') // 连续空行
    .replace(/[^\S\r\n]+/g, ' ') // 连续空白内容
@@ -95,11 +94,11 @@ export const ChatContextFilter = ({
  maxTokens
 }: {
  model: ChatModelType;
-  prompts: ChatItemSimpleType[];
+  prompts: ChatItemType[];
  maxTokens: number;
 }) => {
-  const systemPrompts: ChatItemSimpleType[] = [];
-  const chatPrompts: ChatItemSimpleType[] = [];
+  const systemPrompts: ChatItemType[] = [];
+  const chatPrompts: ChatItemType[] = [];

  let rawTextLen = 0;
  prompts.forEach((item) => {
@@ -107,6 +106,7 @@ export const ChatContextFilter = ({
    rawTextLen += val.length;

    const data = {
+      _id: item._id,
      obj: item.obj,
      value: val
    };
@@ -129,7 +129,7 @@ export const ChatContextFilter = ({
  });

  // 根据 tokens 截断内容
-  const chats: ChatItemSimpleType[] = [];
+  const chats: ChatItemType[] = [];

  // 从后往前截取对话内容
  for (let i = chatPrompts.length - 1; i >= 0; i--) {
@@ -174,3 +174,87 @@ export const resStreamResponse = async ({

  return { responseContent, totalTokens, finishMessages };
 };
+
+/* stream response */
+export const V2_StreamResponse = async ({
+  model,
+  res,
+  chatResponse,
+  prompts
+}: StreamResponseType & {
+  model: ChatModelType;
+}) => {
+  let responseContent = '';
+  let error: any = null;
+
+  const clientRes = async (data: string) => {
+    const { content = '' } = (() => {
+      try {
+        const json = JSON.parse(data);
+        const content: string = json?.choices?.[0].delta.content || '';
+        error = json.error;
+        responseContent += content;
+        return { content };
+      } catch (error) {
+        return {};
+      }
+    })();
+
+    if (res.closed || error) return;
+
+    if (data === '[DONE]') {
+      sseResponse({
+        res,
+        event: sseResponseEventEnum.answer,
+        data: textAdaptGptResponse({
+          text: null,
+          finish_reason: 'stop'
+        })
+      });
+      sseResponse({
+        res,
+        event: sseResponseEventEnum.answer,
+        data: '[DONE]'
+      });
+    } else {
+      sseResponse({
+        res,
+        event: sseResponseEventEnum.answer,
+        data: textAdaptGptResponse({
+          text: content
+        })
+      });
+    }
+  };
+
+  try {
+    for await (const chunk of chatResponse.data as any) {
+      if (res.closed) break;
+      const parse = parseStreamChunk(chunk);
+      parse.forEach((item) => clientRes(item.data));
+    }
+  } catch (error) {
+    console.log('pipe error', error);
+  }
+
+  if (error) {
+    console.log(error);
+    return Promise.reject(error);
+  }
+
+  // count tokens
+  const finishMessages = prompts.concat({
+    obj: ChatRoleEnum.AI,
+    value: responseContent
+  });
+
+  const totalTokens = modelToolMap[model].countTokens({
+    messages: finishMessages
+  });
+
+  return {
+    responseContent,
+    totalTokens,
+    finishMessages
+  };
+};
--- a/client/src/service/utils/chat/openai.ts
+++ b/client/src/service/utils/chat/openai.ts
@@ -1,45 +1,56 @@
 import { Configuration, OpenAIApi } from 'openai';
-import { createParser, ParsedEvent, ReconnectInterval } from 'eventsource-parser';
 import { axiosConfig } from '../tools';
 import { ChatModelMap, OpenAiChatEnum } from '@/constants/model';
 import { adaptChatItem_openAI } from '@/utils/plugin/openai';
 import { modelToolMap } from '@/utils/plugin';
 import { ChatCompletionType, ChatContextFilter, StreamResponseType } from './index';
 import { ChatRoleEnum } from '@/constants/chat';
+import { parseStreamChunk } from '@/utils/adapt';

-export const getOpenAIApi = () =>
-  new OpenAIApi(
+export const getOpenAIApi = (apiKey: string) => {
+  const openaiBaseUrl = process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1';
+  return new OpenAIApi(
    new Configuration({
-      basePath: process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1'
+      basePath: apiKey === process.env.ONEAPI_KEY ? process.env.ONEAPI_URL : openaiBaseUrl
    })
  );
+};

 /* 模型对话 */
 export const chatResponse = async ({
  model,
  apiKey,
  temperature,
+  maxToken = 4000,
  messages,
  stream
 }: ChatCompletionType & { model: `${OpenAiChatEnum}` }) => {
+  const modelTokenLimit = ChatModelMap[model]?.contextMaxToken || 4000;
  const filterMessages = ChatContextFilter({
    model,
    prompts: messages,
-    maxTokens: Math.ceil(ChatModelMap[model].contextMaxToken * 0.85)
+    maxTokens: Math.ceil(modelTokenLimit - 300) // filter token. not response maxToken
  });

-  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages });
-  const chatAPI = getOpenAIApi();
+  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
+  const chatAPI = getOpenAIApi(apiKey);
+
+  const promptsToken = modelToolMap[model].countTokens({
+    messages: filterMessages
+  });
+
+  maxToken = maxToken + promptsToken > modelTokenLimit ? modelTokenLimit - promptsToken : maxToken;

  const response = await chatAPI.createChatCompletion(
    {
      model,
-      temperature: Number(temperature) || 0,
+      temperature: Number(temperature || 0),
+      max_tokens: maxToken,
      messages: adaptMessages,
      frequency_penalty: 0.5, // 越大，重复内容越少
      presence_penalty: -0.5, // 越大，越容易出现新内容
-      stream,
-      stop: ['.!?。']
+      stream
+      // stop: ['.!?。']
    },
    {
      timeout: stream ? 60000 : 480000,
@@ -48,7 +59,7 @@ export const chatResponse = async ({
    }
  );

-  const responseText = stream ? '' : response.data.choices[0].message?.content || '';
+  const responseText = stream ? '' : response.data.choices?.[0].message?.content || '';
  const totalTokens = stream ? 0 : response.data.usage?.total_tokens || 0;

  return {
@@ -71,29 +82,29 @@ export const openAiStreamResponse = async ({
  try {
    let responseContent = '';

-    const onParse = async (event: ParsedEvent | ReconnectInterval) => {
-      if (event.type !== 'event') return;
-      const data = event.data;
-      if (data === '[DONE]') return;
-      try {
-        const json = JSON.parse(data);
-        const content: string = json?.choices?.[0].delta.content || '';
-        responseContent += content;
+    const clientRes = async (data: string) => {
+      const { content = '' } = (() => {
+        try {
+          const json = JSON.parse(data);
+          const content: string = json?.choices?.[0].delta.content || '';
+          responseContent += content;
+          return { content };
+        } catch (error) {
+          return {};
+        }
+      })();

-        !res.closed && content && res.write(content);
-      } catch (error) {
-        error;
-      }
+      if (data === '[DONE]') return;
+
+      !res.closed && content && res.write(content);
    };

    try {
-      const decoder = new TextDecoder();
-      const parser = createParser(onParse);
      for await (const chunk of chatResponse.data as any) {
-        if (res.closed) {
-          break;
-        }
-        parser.feed(decoder.decode(chunk, { stream: true }));
+        if (res.closed) break;
+
+        const parse = parseStreamChunk(chunk);
+        parse.forEach((item) => clientRes(item.data));
      }
    } catch (error) {
      console.log('pipe error', error);
--- a/client/src/service/utils/tools.ts
+++ b/client/src/service/utils/tools.ts
@@ -4,6 +4,7 @@ import crypto from 'crypto';
 import jwt from 'jsonwebtoken';
 import { generateQA } from '../events/generateQA';
 import { generateVector } from '../events/generateVector';
+import { sseResponseEventEnum } from '@/constants/chat';

 /* 密码加密 */
 export const hashPassword = (psw: string) => {
@@ -33,14 +34,18 @@ export const clearCookie = (res: NextApiResponse) => {
 };

 /* openai axios config */
-export const axiosConfig = (apikey: string) => ({
-  baseURL: process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1',
-  httpsAgent: global.httpsAgent,
-  headers: {
-    Authorization: `Bearer ${apikey}`,
-    auth: process.env.OPENAI_BASE_URL_AUTH || ''
-  }
-});
+export const axiosConfig = (apikey: string) => {
+  const openaiBaseUrl = process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1';
+
+  return {
+    baseURL: apikey === process.env.ONEAPI_KEY ? process.env.ONEAPI_URL : openaiBaseUrl, // 此处仅对非 npm 模块有效
+    httpsAgent: global.httpsAgent,
+    headers: {
+      Authorization: `Bearer ${apikey}`,
+      auth: process.env.OPENAI_BASE_URL_AUTH || ''
+    }
+  };
+};

 export function withNextCors(handler: NextApiHandler): NextApiHandler {
  return async function nextApiHandlerWrappedWithNextCors(
@@ -67,3 +72,16 @@ export const startQueue = () => {
    generateVector();
  }
 };
+
+export const sseResponse = ({
+  res,
+  event,
+  data
+}: {
+  res: NextApiResponse;
+  event?: `${sseResponseEventEnum}`;
+  data: string;
+}) => {
+  event && res.write(`event: ${event}\n`);
+  res.write(`data: ${data}\n\n`);
+};
--- a/client/src/store/chat.ts
+++ b/client/src/store/chat.ts
@@ -44,7 +44,7 @@ type State = {
  delShareChatHistory: (shareId?: string) => void;
 };

-const defaultChatData = {
+const defaultChatData: ChatType = {
  chatId: 'chatId',
  modelId: 'modelId',
  model: {
--- a/client/src/store/global.ts
+++ b/client/src/store/global.ts
@@ -19,7 +19,8 @@ export const useGlobalStore = create<State>()(
    immer((set, get) => ({
      initData: {
        beianText: '',
-        googleVerKey: ''
+        googleVerKey: '',
+        baiduTongji: false
      },
      async loadInitData() {
        try {
--- a/client/src/types/chat.d.ts
+++ b/client/src/types/chat.d.ts
@@ -4,16 +4,14 @@ import { QuoteItemType } from '@/pages/api/openapi/kb/appKbSearch';

 export type ExportChatType = 'md' | 'pdf' | 'html';

-export type ChatItemSimpleType = {
+export type ChatItemType = {
+  _id?: string;
  obj: `${ChatRoleEnum}`;
  value: string;
  quoteLen?: number;
  quote?: QuoteItemType[];
  systemPrompt?: string;
 };
-export type ChatItemType = {
-  _id: string;
-} & ChatItemSimpleType;

 export type ChatSiteItemType = {
  status: 'loading' | 'finish';
--- a/client/src/types/index.d.ts
+++ b/client/src/types/index.d.ts
@@ -23,9 +23,6 @@ declare global {
  var vectorQueueLen: number;
  var OpenAiEncMap: Record<string, Tiktoken>;
  var systemEnv: {
-    openAIKeys: string;
-    openAITrainingKeys: string;
-    gpt4Key: string;
    vectorMaxProcess: number;
    qaMaxProcess: number;
    pgIvfflatProbe: number;
--- a/client/src/types/model.d.ts
+++ b/client/src/types/model.d.ts
@@ -5,7 +5,7 @@ export type ModelListItemType = {
  _id: string;
  name: string;
  avatar: string;
-  systemPrompt: string;
+  intro: string;
 };

 export interface ModelUpdateParams {
--- a/client/src/types/mongoSchema.d.ts
+++ b/client/src/types/mongoSchema.d.ts
@@ -43,7 +43,9 @@ export interface ModelSchema {
    searchLimit: number;
    searchEmptyText: string;
    systemPrompt: string;
+    limitPrompt: string;
    temperature: number;
+    maxToken: number;
    chatModel: ChatModelType; // 聊天时用的模型，训练后就是训练的模型
  };
  share: {
@@ -68,6 +70,7 @@ export interface TrainingDataSchema {
  _id: string;
  userId: string;
  kbId: string;
+  expireAt: Date;
  lockTime: Date;
  mode: `${TrainingModeEnum}`;
  prompt: string;
--- a/client/src/utils/adapt.ts
+++ b/client/src/utils/adapt.ts
@@ -2,6 +2,10 @@ import { formatPrice } from './user';
 import dayjs from 'dayjs';
 import type { BillSchema } from '../types/mongoSchema';
 import type { UserBillType } from '@/types/user';
+import { ChatItemType } from '@/types/chat';
+import { ChatCompletionRequestMessageRoleEnum } from 'openai';
+import { ChatRoleEnum } from '@/constants/chat';
+import type { MessageItemType } from '@/pages/api/openapi/v1/chat/completions';

 export const adaptBill = (bill: BillSchema): UserBillType => {
  return {
@@ -14,3 +18,60 @@ export const adaptBill = (bill: BillSchema): UserBillType => {
    price: formatPrice(bill.price)
  };
 };
+
+export const gptMessage2ChatType = (messages: MessageItemType[]): ChatItemType[] => {
+  const roleMap: Record<`${ChatCompletionRequestMessageRoleEnum}`, `${ChatRoleEnum}`> = {
+    [ChatCompletionRequestMessageRoleEnum.Assistant]: ChatRoleEnum.AI,
+    [ChatCompletionRequestMessageRoleEnum.User]: ChatRoleEnum.Human,
+    [ChatCompletionRequestMessageRoleEnum.System]: ChatRoleEnum.System,
+    [ChatCompletionRequestMessageRoleEnum.Function]: ChatRoleEnum.Human
+  };
+
+  return messages.map((item) => ({
+    _id: item._id,
+    obj: roleMap[item.role],
+    value: item.content || ''
+  }));
+};
+
+export const textAdaptGptResponse = ({
+  text,
+  model,
+  finish_reason = null,
+  extraData = {}
+}: {
+  model?: string;
+  text: string | null;
+  finish_reason?: null | 'stop';
+  extraData?: Object;
+}) => {
+  return JSON.stringify({
+    ...extraData,
+    id: '',
+    object: '',
+    created: 0,
+    model,
+    choices: [{ delta: text === null ? {} : { content: text }, index: 0, finish_reason }]
+  });
+};
+
+const decoder = new TextDecoder();
+export const parseStreamChunk = (value: BufferSource) => {
+  const chunk = decoder.decode(value);
+  const chunkLines = chunk.split('\n\n').filter((item) => item);
+  const chunkResponse = chunkLines.map((item) => {
+    const splitEvent = item.split('\n');
+    if (splitEvent.length === 2) {
+      return {
+        event: splitEvent[0].replace('event: ', ''),
+        data: splitEvent[1].replace('data: ', '')
+      };
+    }
+    return {
+      event: '',
+      data: splitEvent[0].replace('data: ', '')
+    };
+  });
+
+  return chunkResponse;
+};
--- a/client/src/utils/file.ts
+++ b/client/src/utils/file.ts
@@ -148,15 +148,9 @@ export const fileDownload = ({
 * slideLen - The size of the before and after Text
 * maxLen > slideLen
 */
-export const splitText_token = ({
-  text,
-  maxLen,
-  slideLen
-}: {
-  text: string;
-  maxLen: number;
-  slideLen: number;
-}) => {
+export const splitText_token = ({ text, maxLen }: { text: string; maxLen: number }) => {
+  const slideLen = Math.floor(maxLen * 0.3);
+
  try {
    const enc = getOpenAiEncMap()[OpenAiChatEnum.GPT35];
    // filter empty text. encode sentence
--- a/client/src/utils/plugin/index.ts
+++ b/client/src/utils/plugin/index.ts
@@ -1,18 +1,15 @@
-import { ClaudeEnum, OpenAiChatEnum } from '@/constants/model';
+import { OpenAiChatEnum } from '@/constants/model';
 import type { ChatModelType } from '@/constants/model';
-import type { ChatItemSimpleType } from '@/types/chat';
+import type { ChatItemType } from '@/types/chat';
 import { countOpenAIToken, openAiSliceTextByToken } from './openai';
 import { gpt_chatItemTokenSlice } from '@/pages/api/openapi/text/gptMessagesSlice';

 export const modelToolMap: Record<
  ChatModelType,
  {
-    countTokens: (data: { messages: ChatItemSimpleType[] }) => number;
+    countTokens: (data: { messages: ChatItemType[] }) => number;
    sliceText: (data: { text: string; length: number }) => string;
-    tokenSlice: (data: {
-      messages: ChatItemSimpleType[];
-      maxToken: number;
-    }) => ChatItemSimpleType[];
+    tokenSlice: (data: { messages: ChatItemType[]; maxToken: number }) => ChatItemType[];
  }
 > = {
  [OpenAiChatEnum.GPT35]: {
@@ -34,10 +31,5 @@ export const modelToolMap: Record<
    countTokens: ({ messages }) => countOpenAIToken({ model: OpenAiChatEnum.GPT432k, messages }),
    sliceText: (data) => openAiSliceTextByToken({ model: OpenAiChatEnum.GPT432k, ...data }),
    tokenSlice: (data) => gpt_chatItemTokenSlice({ model: OpenAiChatEnum.GPT432k, ...data })
-  },
-  [ClaudeEnum.Claude]: {
-    countTokens: ({ messages }) => countOpenAIToken({ model: OpenAiChatEnum.GPT35, messages }),
-    sliceText: (data) => openAiSliceTextByToken({ model: OpenAiChatEnum.GPT35, ...data }),
-    tokenSlice: (data) => gpt_chatItemTokenSlice({ model: OpenAiChatEnum.GPT35, ...data })
  }
 };
--- a/client/src/utils/plugin/openai.ts
+++ b/client/src/utils/plugin/openai.ts
@@ -1,67 +1,20 @@
-import { encoding_for_model, type Tiktoken } from '@dqbd/tiktoken';
-import type { ChatItemSimpleType } from '@/types/chat';
+import { encoding_for_model } from '@dqbd/tiktoken';
+import type { ChatItemType } from '@/types/chat';
 import { ChatRoleEnum } from '@/constants/chat';
-import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
+import { ChatCompletionRequestMessageRoleEnum } from 'openai';
 import { OpenAiChatEnum } from '@/constants/model';
-import Graphemer from 'graphemer';
 import axios from 'axios';
 import dayjs from 'dayjs';
-
-const textDecoder = new TextDecoder();
-const graphemer = new Graphemer();
+import type { MessageItemType } from '@/pages/api/openapi/v1/chat/completions';

 export const getOpenAiEncMap = () => {
-  if (typeof window !== 'undefined') {
-    window.OpenAiEncMap = window.OpenAiEncMap || {
-      [OpenAiChatEnum.GPT35]: encoding_for_model('gpt-3.5-turbo', {
-        '<|im_start|>': 100264,
-        '<|im_end|>': 100265,
-        '<|im_sep|>': 100266
-      }),
-      [OpenAiChatEnum.GPT3516k]: encoding_for_model('gpt-3.5-turbo', {
-        '<|im_start|>': 100264,
-        '<|im_end|>': 100265,
-        '<|im_sep|>': 100266
-      }),
-      [OpenAiChatEnum.GPT4]: encoding_for_model('gpt-4', {
-        '<|im_start|>': 100264,
-        '<|im_end|>': 100265,
-        '<|im_sep|>': 100266
-      }),
-      [OpenAiChatEnum.GPT432k]: encoding_for_model('gpt-4-32k', {
-        '<|im_start|>': 100264,
-        '<|im_end|>': 100265,
-        '<|im_sep|>': 100266
-      })
-    };
+  if (typeof window !== 'undefined' && window.OpenAiEncMap) {
    return window.OpenAiEncMap;
  }
-  if (typeof global !== 'undefined') {
-    global.OpenAiEncMap = global.OpenAiEncMap || {
-      [OpenAiChatEnum.GPT35]: encoding_for_model('gpt-3.5-turbo', {
-        '<|im_start|>': 100264,
-        '<|im_end|>': 100265,
-        '<|im_sep|>': 100266
-      }),
-      [OpenAiChatEnum.GPT3516k]: encoding_for_model('gpt-3.5-turbo', {
-        '<|im_start|>': 100264,
-        '<|im_end|>': 100265,
-        '<|im_sep|>': 100266
-      }),
-      [OpenAiChatEnum.GPT4]: encoding_for_model('gpt-4', {
-        '<|im_start|>': 100264,
-        '<|im_end|>': 100265,
-        '<|im_sep|>': 100266
-      }),
-      [OpenAiChatEnum.GPT432k]: encoding_for_model('gpt-4-32k', {
-        '<|im_start|>': 100264,
-        '<|im_end|>': 100265,
-        '<|im_sep|>': 100266
-      })
-    };
+  if (typeof global !== 'undefined' && global.OpenAiEncMap) {
    return global.OpenAiEncMap;
  }
-  return {
+  const enc = {
    [OpenAiChatEnum.GPT35]: encoding_for_model('gpt-3.5-turbo', {
      '<|im_start|>': 100264,
      '<|im_end|>': 100265,
@@ -83,19 +36,31 @@ export const getOpenAiEncMap = () => {
      '<|im_sep|>': 100266
    })
  };
+
+  if (typeof window !== 'undefined') {
+    window.OpenAiEncMap = enc;
+  }
+  if (typeof global !== 'undefined') {
+    global.OpenAiEncMap = enc;
+  }
+
+  return enc;
 };

 export const adaptChatItem_openAI = ({
-  messages
+  messages,
+  reserveId
 }: {
-  messages: ChatItemSimpleType[];
-}): ChatCompletionRequestMessage[] => {
+  messages: ChatItemType[];
+  reserveId: boolean;
+}): MessageItemType[] => {
  const map = {
    [ChatRoleEnum.AI]: ChatCompletionRequestMessageRoleEnum.Assistant,
    [ChatRoleEnum.Human]: ChatCompletionRequestMessageRoleEnum.User,
    [ChatRoleEnum.System]: ChatCompletionRequestMessageRoleEnum.System
  };
  return messages.map((item) => ({
+    ...(reserveId && { _id: item._id }),
    role: map[item.obj] || ChatCompletionRequestMessageRoleEnum.System,
    content: item.value || ''
  }));
@@ -105,62 +70,21 @@ export function countOpenAIToken({
  messages,
  model
 }: {
-  messages: ChatItemSimpleType[];
+  messages: ChatItemType[];
  model: `${OpenAiChatEnum}`;
 }) {
-  function getChatGPTEncodingText(
-    messages: {
-      role: 'system' | 'user' | 'assistant';
-      content: string;
-      name?: string;
-    }[],
-    model: `${OpenAiChatEnum}`
-  ) {
-    const isGpt3 = model.startsWith('gpt-3.5-turbo');
+  const diffVal = model.startsWith('gpt-3.5-turbo') ? 3 : 2;

-    const msgSep = isGpt3 ? '\n' : '';
-    const roleSep = isGpt3 ? '\n' : '<|im_sep|>';
+  const adaptMessages = adaptChatItem_openAI({ messages, reserveId: true });
+  const token = adaptMessages.reduce((sum, item) => {
+    const text = `${item.role}\n${item.content}`;
+    const enc = getOpenAiEncMap()[model];
+    const encodeText = enc.encode(text);
+    const tokens = encodeText.length + diffVal;
+    return sum + tokens;
+  }, 0);

-    return [
-      messages
-        .map(({ name = '', role, content }) => {
-          return `<|im_start|>${name || role}${roleSep}${content}<|im_end|>`;
-        })
-        .join(msgSep),
-      `<|im_start|>assistant${roleSep}`
-    ].join(msgSep);
-  }
-  function text2TokensLen(encoder: Tiktoken, inputText: string) {
-    const encoding = encoder.encode(inputText, 'all');
-    const segments: { text: string; tokens: { id: number; idx: number }[] }[] = [];
-
-    let byteAcc: number[] = [];
-    let tokenAcc: { id: number; idx: number }[] = [];
-    let inputGraphemes = graphemer.splitGraphemes(inputText);
-
-    for (let idx = 0; idx < encoding.length; idx++) {
-      const token = encoding[idx]!;
-      byteAcc.push(...encoder.decode_single_token_bytes(token));
-      tokenAcc.push({ id: token, idx });
-
-      const segmentText = textDecoder.decode(new Uint8Array(byteAcc));
-      const graphemes = graphemer.splitGraphemes(segmentText);
-
-      if (graphemes.every((item, idx) => inputGraphemes[idx] === item)) {
-        segments.push({ text: segmentText, tokens: tokenAcc });
-
-        byteAcc = [];
-        tokenAcc = [];
-        inputGraphemes = inputGraphemes.slice(graphemes.length);
-      }
-    }
-
-    return segments.reduce((memo, i) => memo + i.tokens.length, 0) ?? 0;
-  }
-
-  const adaptMessages = adaptChatItem_openAI({ messages });
-
-  return text2TokensLen(getOpenAiEncMap()[model], getChatGPTEncodingText(adaptMessages, model));
+  return token;
 }

 export const openAiSliceTextByToken = ({
@@ -187,16 +111,11 @@ export const authOpenAiKey = async (key: string) => {
    })
    .then((res) => {
      if (!res.data.access_until) {
-        return Promise.reject('OpenAI Key 无效，请重试或更换 key');
-      }
-      const keyExpiredTime = dayjs(res.data.access_until * 1000);
-      const currentTime = dayjs();
-      if (keyExpiredTime.isBefore(currentTime)) {
-        return Promise.reject('OpenAI Key 已过期');
+        return Promise.resolve('OpenAI Key 可能无效');
      }
    })
    .catch((err) => {
      console.log(err);
-      return Promise.reject(err?.response?.data?.error || 'OpenAI 账号无效，请重试或更换 key');
+      return Promise.reject(err?.response?.data?.error?.message || 'OpenAI Key 可能无效');
    });
 };
--- a/client/src/utils/tools.ts
+++ b/client/src/utils/tools.ts
@@ -115,14 +115,8 @@ export const voiceBroadcast = ({ text }: { text: string }) => {
  };
 };

-export const formatLinkText = (text: string) => {
-  const httpReg =
-    /(http|https|ftp):\/\/[\w\-_]+(\.[\w\-_]+)+([\w\-\.,@?^=%&amp;:/~\+#]*[\w\-\@?^=%&amp;/~\+#])?/gi;
-  return text.replace(httpReg, ` $& `);
-};
-
 export const getErrText = (err: any, def = '') => {
-  const msg = typeof err === 'string' ? err : err?.message || def || '';
+  const msg: string = typeof err === 'string' ? err : err?.message || def || '';
  msg && console.log('error =>', msg);
  return msg;
 };
--- a/docs/deploy/docker.md
+++ b/docs/deploy/docker.md
@@ -10,6 +10,10 @@
 4. [cloudflare 方案](./proxy/cloudflare.md) - 需要有域名（每日免费 10w 次代理请求）
 5. [腾讯云函数代理方案](https://github.com/easychen/openai-api-proxy/blob/master/FUNC.md) - 仅需一台服务器

+## openai key 池管理方案
+
+推荐使用 [one-api](https://github.com/songquanpeng/one-api) 项目来管理 key 池，兼容 openai 和微软等多渠道。部署可以看该项目的 README.md，也可以看 [在 Sealos 1 分钟部署 one-api](./one-api/sealos.md)
+
 ### 1. 准备一些内容

 > 1. 服务器开通 80 端口。用代理的话，对应的代理端口也需要打开。
--- a/docs/deploy/fastgpt/docker-compose.yml
+++ b/docs/deploy/fastgpt/docker-compose.yml
@@ -1,12 +1,15 @@
+# 非 host 版本, 不使用本机代理
 version: '3.3'
 services:
  pg:
-    image: ankane/pgvector:v0.4.2 # dockerhub
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.4.2 # 阿里云
+    # image: ankane/pgvector:v0.4.2 # dockerhub
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.4.2 # 阿里云
    container_name: pg
    restart: always
-    ports:
+    ports: # 生产环境建议不要暴露
      - 8100:5432
+    networks:
+      - fastgpt
    environment:
      # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
      - POSTGRES_USER=fastgpt
@@ -14,33 +17,40 @@ services:
      - POSTGRES_DB=fastgpt
    volumes:
      # 刚创建的文件
-      - /root/fastgpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
-      - /root/fastgpt/pg/data:/var/lib/postgresql/data
-      - /etc/localtime:/etc/localtime:ro
-  mongodb:
-    image: mongo:5.0.18
-    # image : registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云
+      - ./pg/init.sql:/docker-entrypoint-initdb.d/init.sh
+      - ./pg/data:/var/lib/postgresql/data
+  mongo:
+    # image: mongo:5.0.18
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云
    container_name: mongo
    restart: always
-    ports:
+    ports: # 生产环境建议不要暴露
      - 27017:27017
+    networks:
+      - fastgpt
    environment:
      # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
      - MONGO_INITDB_ROOT_USERNAME=username
      - MONGO_INITDB_ROOT_PASSWORD=password
    volumes:
-      - /root/fastgpt/mongo/data:/data/db
-      - /root/fastgpt/mongo/logs:/var/log/mongodb
-      - /etc/localtime:/etc/localtime:ro
+      - ./mongo/data:/data/db
+      - ./mongo/logs:/var/log/mongodb
  fastgpt:
-    image: ghcr.io/c121914yu/fastgpt:latest # github
-    # image: c121914yu/fast-gpt:latest # docker hub
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest # 阿里云
-    network_mode: host
-    restart: always
    container_name: fastgpt
+    # image: c121914yu/fast-gpt:latest # docker hub
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest # 阿里云
+    # network_mode: host #
+    ports:
+      - 3000:3000
+    networks:
+      - fastgpt
+    depends_on:
+      - mongo
+      - pg
+    restart: always
    environment: # 可选的变量，不需要的话需要去掉
      - PORT=3000 # 运行的端口地址，如果不是 3000，需要修改成实际地址。
+      - DB_MAX_LINK=5 # database max link
      # proxy（可选）
      - AXIOS_PROXY_HOST=127.0.0.1
      - AXIOS_PROXY_PORT=7890
@@ -56,35 +66,191 @@ services:
      - CLIENT_GOOGLE_VER_TOKEN=xxx
      - SERVICE_GOOGLE_VER_TOKEN=xx
      # token加密凭证（随便填，作为登录凭证）
-      - TOKEN_KEY=xxxx
+      - TOKEN_KEY=any
      # root key, 最高权限，可以内部接口互相调用
-      - ROOT_KEY=xxx
+      - ROOT_KEY=root_key
      # 和上方mongo镜像的username,password对应
-      - MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
+      - MONGODB_URI=mongodb://username:password@mongo:27017/?authSource=admin
      - MONGODB_NAME=fastgpt
-      - PG_HOST=0.0.0.0
-      - PG_PORT=8100
+      - PG_HOST=pg
+      - PG_PORT=5432
      # 和上方PG镜像对应.
      - PG_USER=fastgpt
      - PG_PASSWORD=1234
      - PG_DB_NAME=fastgpt
-      # openai
-      # 对话用的key，多个key，逗号分开
-      - OPENAIKEY=sk-xxxxx,sk-xxx
-      # 训练用的key
-      - OPENAI_TRAINING_KEY=sk-xxx,sk-xxxx
-      - GPT4KEY=sk-xxx
+      # oneapi 配置 推荐使用 one-api 管理key
+      - ONEAPI_URL=https://kfcwurtbijvh.cloud.sealos.io/v1
+      - ONEAPI_KEY=sk-itJ9v8qthRiFDzfs62Ea21Aa9b004c8791937dCf4cC568Ff
+      # openai 相关配置：使用了 oneapi 后，下面只需要填下 OPENAI_BASE_URL （国外可全忽略）
+      - OPENAIKEY=sk-xxxxx
      - OPENAI_BASE_URL=https://api.openai.com/v1
-      - OPENAI_BASE_URL_AUTH=可选的安全凭证
-  nginx:
-    image: nginx:alpine3.17
+      - OPENAI_BASE_URL_AUTH=可选的安全凭证，会放到 header.auth 里
+  fastgpt-admin:
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest
+    container_name: fastgpt-admin
+    restart: always
+    ports:
+      - 3001:3001
+    networks:
+      - fastgpt
+    depends_on:
+      - mongo
+      - fastgpt
+    environment:
+      - MONGODB_URI=mongodb://username:password@mongo:27017/?authSource=admin
+      - MONGODB_NAME=fastgpt
+      - ADMIN_USER=username
+      - ADMIN_PASS=password
+      - ADMIN_SECRET=any
+      - PARENT_URL=http://fastgpt:3000
+      - PARENT_ROOT_KEY=root_key
+  keyadmin:
+    container_name: keyadmin
+    image: justsong/one-api
+    restart: always
+    ports:
+      - 3002:3000
+    environment:
+      - TZ=Asia/Shanghai
+    volumes:
+      - /keyadmin:/data
+  nginx: # 宝塔不需要额外装 nginx
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/nginx:alpine3.17
+    # image: nginx:alpine3.17
    container_name: nginx
    restart: always
    network_mode: host
    volumes:
      # 刚创建的文件
-      - /root/fastgpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
-      - /root/fastgpt/nginx/logs:/var/log/nginx
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+      - ./nginx/logs:/var/log/nginx
      # https证书，没有的话不填，对应的nginx.conf也要修改
-      - /root/fastgpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
-      - /root/fastgpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem
+      - ./nginx/ssl/docgpt.key:/ssl/docgpt.key
+      - ./nginx/ssl/docgpt.pem:/ssl/docgpt.pem
+networks:
+  fastgpt:
+# host 版本, 不推荐，推荐直接用上面的，用个 BASE_URL 中转
+# version: '3.3'
+# services:
+#   pg:
+#     # image: ankane/pgvector:v0.4.2 # dockerhub
+#     image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.4.2 # 阿里云
+#     container_name: pg
+#     restart: always
+#     ports: # 生产环境建议不要暴露
+#       - 8100:5432
+#     networks:
+#       - fastgpt
+#     environment:
+#       # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
+#       - POSTGRES_USER=fastgpt
+#       - POSTGRES_PASSWORD=1234
+#       - POSTGRES_DB=fastgpt
+#     volumes:
+#       # 刚创建的文件
+#       - ./pg/init.sql:/docker-entrypoint-initdb.d/init.sh
+#       - ./pg/data:/var/lib/postgresql/data
+#   mongo:
+#     # image: mongo:5.0.18
+#     image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云
+#     container_name: mongo
+#     restart: always
+#     ports: # 生产环境建议不要暴露
+#       - 27017:27017
+#     networks:
+#       - fastgpt
+#     environment:
+#       # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
+#       - MONGO_INITDB_ROOT_USERNAME=username
+#       - MONGO_INITDB_ROOT_PASSWORD=password
+#     volumes:
+#       - ./mongo/data:/data/db
+#       - ./mongo/logs:/var/log/mongodb
+#   fastgpt:
+#     # image: ghcr.io/c121914yu/fastgpt:latest # github
+#     # image: c121914yu/fast-gpt:latest # docker hub
+#     image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest # 阿里云
+#     network_mode: host
+#     restart: always
+#     container_name: fastgpt
+#     environment: # 可选的变量，不需要的话需要去掉
+#       - PORT=3000 # 运行的端口地址，如果不是 3000，需要修改成实际地址。
+#       - DB_MAX_LINK=15 # database max link
+#       # proxy（可选）
+#       - AXIOS_PROXY_HOST=127.0.0.1
+#       - AXIOS_PROXY_PORT=7890
+#       # 发送邮箱验证码配置。用的是QQ邮箱。参考 nodeMail 获取MAILE_CODE，自行百度。
+#       - MY_MAIL=54545@qq.com
+#       - MAILE_CODE=1234
+#       # 阿里短信服务（邮箱和短信至少二选一）
+#       - aliAccessKeyId=xxxx
+#       - aliAccessKeySecret=xxxx
+#       - aliSignName=xxxxx
+#       - aliTemplateCode=SMS_xxxx
+#       # google V3 安全校验（可选）
+#       - CLIENT_GOOGLE_VER_TOKEN=xxx
+#       - SERVICE_GOOGLE_VER_TOKEN=xx
+#       # token加密凭证（随便填，作为登录凭证）
+#       - TOKEN_KEY=xxxx
+#       # root key, 最高权限，可以内部接口互相调用
+#       - ROOT_KEY=xxx
+#       # 和上方mongo镜像的username,password对应
+#       - MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
+#       - MONGODB_NAME=fastgpt
+#       - PG_HOST=0.0.0.0
+#       - PG_PORT=8100
+#       # 和上方PG镜像对应.
+#       - PG_USER=fastgpt
+#       - PG_PASSWORD=1234
+#       - PG_DB_NAME=fastgpt
+#       # oneapi 配置 推荐使用 one-api 管理key
+#       - ONEAPI_URL=https://kfcwurtbijvh.cloud.sealos.io/v1
+#       - ONEAPI_KEY=sk-itJ9v8qthRiFDzfs62Ea21Aa9b004c8791937dCf4cC568Ff
+#       # openai 相关配置：使用了 oneapi 后，下面只需要填下 OPENAI_BASE_URL （国外可全忽略）
+#       - OPENAIKEY=sk-xxxxx
+#       - OPENAI_BASE_URL=https://api.openai.com/v1
+#       - OPENAI_BASE_URL_AUTH=可选的安全凭证，会放到 header.auth 里
+#   fastgpt-admin:
+#     image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest
+#     container_name: fastgpt-admin
+#     restart: always
+#     ports:
+#       - 3001:3001
+#     networks:
+#       - fastgpt
+#     depends_on:
+#       - mongo
+#       - fastgpt
+#     environment:
+#       - MONGODB_URI=mongodb://username:password@mongo:27017/?authSource=admin
+#       - MONGODB_NAME=fastgpt
+#       - ADMIN_USER=username
+#       - ADMIN_PASS=password
+#       - ADMIN_SECRET=any
+#       - PARENT_URL=http://fastgpt:3000
+#       - PARENT_ROOT_KEY=root_key
+#   key-admin:
+#     container_name: key-admin
+#     image: justsong/one-api
+#     restart: always
+#     ports:
+#       - 3002:3000
+#     environment:
+#       - TZ=Asia/Shanghai
+#     volumes:
+#       - /home/ubuntu/data/one-api:/data
+#   nginx: # 宝塔不需要额外装 nginx
+#     image: registry.cn-hangzhou.aliyuncs.com/fastgpt/nginx:alpine3.17
+#     # image: nginx:alpine3.17
+#     container_name: nginx
+#     restart: always
+#     network_mode: host
+#     volumes:
+#       # 刚创建的文件
+#       - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+#       - ./nginx/logs:/var/log/nginx
+#       # https证书，没有的话不填，对应的nginx.conf也要修改
+#       - ./nginx/ssl/docgpt.key:/ssl/docgpt.key
+#       - ./nginx/ssl/docgpt.pem:/ssl/docgpt.pem
+# networks:
+#   fastgpt:
--- a/docs/deploy/one-api/sealos.md
+++ b/docs/deploy/one-api/sealos.md
@@ -0,0 +1,36 @@
+# 在 Sealos 1 分钟部署 one-api
+
+## 1. 进入 Sealos 公有云
+
+https://cloud.sealos.io/
+
+## 2. 打开 AppLaunchpad(应用管理) 工具
+
+![step1](./sealosImg/step1.png)
+
+## 3. 点击创建新应用
+
+## 4. 填写对应参数
+
+镜像：ghcr.io/songquanpeng/one-api:latest
+
+![step2](./sealosImg/step2.png)
+打开外网访问开关后，Sealos 会自动分配一个可访问的地址，不需要自己配置。
+
+![step3](./sealosImg/step3.png)
+填写完参数后，点击右上角部署即可。
+
+## 5. 访问
+
+点击 Sealos 提供的外网访问地址，即可访问 one-api 项目。
+![step3](./sealosImg/step4.png)
+![step3](./sealosImg/step5.png)
+
+## 6. 替换 FastGpt 的环境变量
+
+```
+# 下面的地址是 Sealos 提供的，务必写上 v1
+OPENAI_BASE_URL=https://xxxx.cloud.sealos.io/v1
+# 下面的 key 由 one-api 提供
+OPENAIKEY=sk-xxxxxx
+```
--- a/docs/deploy/one-api/sealosImg/step1.png
+++ b/docs/deploy/one-api/sealosImg/step1.png
--- a/docs/deploy/one-api/sealosImg/step2.png
+++ b/docs/deploy/one-api/sealosImg/step2.png
--- a/docs/deploy/one-api/sealosImg/step3.png
+++ b/docs/deploy/one-api/sealosImg/step3.png
--- a/docs/deploy/one-api/sealosImg/step4.png
+++ b/docs/deploy/one-api/sealosImg/step4.png
--- a/docs/deploy/one-api/sealosImg/step5.png
+++ b/docs/deploy/one-api/sealosImg/step5.png
--- a/docs/dev/.env.template
+++ b/docs/dev/.env.template
@@ -1,31 +0,0 @@
-# 运行端口，如果不是 3000 口运行，需要改成其他的。注意：不是改了这个变量就会变成其他端口，而是因为改成其他端口，才用这个变量。
-PORT=3000
-# 代理
-# AXIOS_PROXY_HOST=127.0.0.1
-# AXIOS_PROXY_PORT=7890
-# email
-MY_MAIL=xxxx@qq.com
-MAILE_CODE=xxxx
-# ali ems
-aliAccessKeyId=xxxx
-aliAccessKeySecret=xxxx
-aliSignName=xxxx
-aliTemplateCode=xxxx
-# token
-TOKEN_KEY=dfdasfdas
-# root key, 最高权限
-ROOT_KEY=fdafasd
-# openai
-# OPENAI_BASE_URL=http://ai.openai.com/v1
-# OPENAI_BASE_URL_AUTH=可选安全凭证，会放到 header.auth 里
-OPENAIKEY=sk-xxx
-OPENAI_TRAINING_KEY=sk-xxx
-GPT4KEY=sk-xxx
-# db
-MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
-MONGODB_NAME=fastgpt
-PG_HOST=0.0.0.0
-PG_PORT=8100
-PG_USER=root
-PG_PASSWORD=psw
-PG_DB_NAME=dbname
--- a/docs/dev/README.md
+++ b/docs/dev/README.md
@@ -2,6 +2,9 @@

 第一次开发，请先[部署教程](../deploy/docker.md)，需要部署数据库.

+client: FastGpt 网页项目
+admin: 管理端
+
 ## 环境变量配置 (可能更新不及时，以 docker-compose 里的变量为准)

 复制.env.template 文件，生成一个.env.local 环境变量文件夹，修改.env.local 里内容。
--- a/docs/zh/examples/openAPI/chatgptnext.png
+++ b/docs/zh/examples/openAPI/chatgptnext.png
--- a/docs/zh/examples/openAPI/chatgptweb.png
+++ b/docs/zh/examples/openAPI/chatgptweb.png
--- a/docs/zh/examples/openAPI/img1.png
+++ b/docs/zh/examples/openAPI/img1.png
--- a/docs/zh/examples/openAPI/index.md
+++ b/docs/zh/examples/openAPI/index.md
@@ -0,0 +1,22 @@
+# 通过 OpenAPI 接入第三方应用
+
+## 1. 获取 API 秘钥
+
+注意复制，关掉了需要新建~
+
+![imgs](./img1.png)
+
+## 2. 组合秘钥
+
+利用刚复制的 API 秘钥加上 AppId 组合成一个新的秘钥，格式为: API 秘钥-AppId，例如：`fastgpt-z51pkjqm9nrk03a1rx2funoy-642adec15f04d67d4613efdb`
+
+## 3. 替换三方应用的变量
+
+OPENAI_API_BASE_URL: https://fastgpt.run/api/openapi (改成自己部署的域名)
+OPENAI_API_KEY = 组合秘钥
+
+**[chatgpt next](https://github.com/Yidadaa/ChatGPT-Next-Web) 示例**
+![imgs](./chatgptnext.png)
+
+**[chatgpt web](https://github.com/Chanzhaoyu/chatgpt-web) 示例**
+![imgs](./chatgptweb.png)
Author	SHA1	Message	Date
archer	f56a339ad1	perf: index	2023-06-25 16:05:43 +08:00
archer	68eca25df4	fix: ssr close	2023-06-25 14:16:54 +08:00
archer	9eed321471	perf: docker-compose	2023-06-25 13:41:44 +08:00
archer	426176db47	fix: apikey	2023-06-25 13:20:00 +08:00
archer	cfb31afbd9	fix: select ui;perf: max link and compose	2023-06-25 10:52:58 +08:00
archer	5be57da407	fix: v1 api	2023-06-24 21:39:34 +08:00
archer	057c3411b9	perf: fetch error	2023-06-24 21:21:53 +08:00
archer	83d755ad0e	feat: limit prompt	2023-06-24 18:55:46 +08:00
JustSong	ec9852fc63	docs: update README (#103 )	2023-06-24 00:38:08 +08:00
archer	4e6f8aefe8	docs	2023-06-23 23:40:07 +08:00
archer	11352b754a	fix: model	2023-06-23 23:21:59 +08:00
archer	965ad34283	docs	2023-06-23 23:16:49 +08:00
archer	986206b691	perf: sse response	2023-06-23 23:11:22 +08:00
archer	6787f19d78	feat: price	2023-06-23 18:05:53 +08:00
archer	64c35eaa3a	docs	2023-06-23 17:43:14 +08:00
archer	41ada6ecda	perf: keys	2023-06-23 17:12:52 +08:00
archer	ae1f7a888e	perf: token count;feat: chunk size	2023-06-23 15:08:30 +08:00
archer	9aace871ff	fix: ssr	2023-06-21 18:04:36 +08:00
moonrailgun	39739f9305	chore: fix admin build problem (#101 )	2023-06-21 15:40:51 +08:00
archer	ce757d918b	fix: ssr	2023-06-21 15:22:07 +08:00
archer	d592d4e99a	markdown	2023-06-21 15:22:06 +08:00
moonrailgun	11ce10cd80	feat: add zh translation and change title (#100 )	2023-06-21 15:21:24 +08:00
archer	6fb312ccfd	link text	2023-06-20 10:41:17 +08:00
archer	3166376173	fix: template	2023-06-20 10:40:49 +08:00
archer	a02a528737	perf: my models	2023-06-19 21:08:32 +08:00
archer	dd4ca27dc7	perf: deploy	2023-06-19 20:00:54 +08:00
archer	f2d37c30a5	feat: baidu statistic	2023-06-19 17:28:25 +08:00
archer	1d236f87ae	perf: markdown redraw	2023-06-19 16:50:14 +08:00
archer	3b515c3c2d	fix: choices empty	2023-06-19 11:30:26 +08:00
archer	e95f83ec8e	docs	2023-06-18 23:52:40 +08:00
archer	03793c66da	README	2023-06-18 23:25:16 +08:00
archer	84daf85393	fix: base url	2023-06-18 22:38:55 +08:00
archer	6c62d80a4c	fix: refresh page	2023-06-18 22:19:49 +08:00
archer	ff2043c0fb	feat: maxToken setting	2023-06-18 21:23:36 +08:00
archer	ee9afa310a	feat: openapi v2 chat	2023-06-18 21:06:07 +08:00
archer	2b93ae2d00	fix: time conf	2023-06-17 21:53:04 +08:00
archer	00c93a63cd	perf: queue link	2023-06-17 21:27:44 +08:00