Add mongo index (#519 )

4.6.2-production (#518 )
4.6.2-alpha (#517 )
2023-11-26 20:17:29 +08:00 · 2023-11-26 16:13:45 +08:00 · 2023-11-25 21:58:00 +08:00 · 2023-11-24 15:29:43 +08:00 · 2023-11-21 18:26:18 +08:00 · 2023-11-20 19:20:55 +08:00
319 changed files with 8247 additions and 5229 deletions
--- a/README.md
+++ b/README.md
@@ -6,7 +6,8 @@

 <p align="center">
  <a href="./README_en.md">English</a> |
-  <a href="./README.md">简体中文</a>
+  <a href="./README.md">简体中文</a> |
+  <a href="./README_ja.md">日语</a>
 </p>

 FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排，从而实现复杂的问答场景！
--- a/README_en.md
+++ b/README_en.md
@@ -6,7 +6,8 @@

 <p align="center">
  <a href="./README_en.md">English</a> |
-  <a href="./README.md">简体中文</a>
+  <a href="./README.md">简体中文</a> |
+  <a href="./README_ja.md">日语</a>
 </p>

 FastGPT is a knowledge-based Q&A system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!
--- a/README_ja.md
+++ b/README_ja.md
@@ -0,0 +1,135 @@
+<div align="center">
+
+<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
+
+# FastGPT
+
+<p align="center">
+  <a href="./README_en.md">English</a> |
+  <a href="./README.md">简体中文</a> |
+  <a href="./README_ja.md">日语</a>
+</p>
+
+FastGPT は、LLM 上 に 構築 された 知識 ベースの Q&A システムで、すぐに 使 えるデータ 処理 とモデル 呼 び 出 し 機能 を 提供 し、Flow の 可視化 を 通 じてワークフローのオーケストレーションを 可能 にします！
+
+</div>
+
+<p align="center">
+  <a href="https://fastgpt.run/">
+    <img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/intro">
+    <img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/development">
+    <img height="21" src="https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
+  </a>
+  <a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
+    <img height="21" src="https://img.shields.io/badge/相关项目-7d09f1?style=flat-square" alt="project">
+  </a>
+  <a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
+    <img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
+  </a>
+</p>
+
+https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
+
+## 🛸 クラウドサービスの 利用
+
+[fastgpt.run](https://fastgpt.run/)
+| | |
+| ---------------------------------- | ---------------------------------- |
+| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
+| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
+
+## 💡 機能
+
+1. パワフルなビジュアルワークフロー：AI アプリケーションを 簡単 に 作成
+
+   - [x] デッキのシンプルモード - マニュアルアレンジ 不要
+   - [x] ユーザ 対話事前 ガイダンス
+   - [x] グローバル 変数
+   - [x] ナレッジベース 検索
+   - [x] 複数 の LLM モデルによる 対話
+   - [x] テキストマジック - 構造化 データへの 変換
+   - [x] HTTP による 拡張
+   - [ ] on-the-fly HTTP モジュールのための 埋 め 込 みLaf
+   - [x] 次 の 対話 ステップへの 指示
+   - [x] ソースファイル 参照 の 追跡
+   - [ ] カスタムファイルリーダー
+   - [ ] モジュールをプラグインにパッケージして 再利用 する
+
+2. 広範 なナレッジベースの 前処理
+
+   - [x] 複数 のナレッジベースの 再利用 と 混合
+   - [x] チャンクの 変更 と 削除 を 追跡
+   - [x] 手動入力、直接分割、QA 分割 インポートをサポート
+   - [x] URL フェッチとバッチ CSV インポートをサポート
+   - [x] ナレッジベースにユニークなベクトルモデルを 設定可能
+   - [x] オリジナルファイルの 保存
+   - [ ] ファイル 学習 エージェント
+
+3. 複数 の 効果測定 チャンネル
+
+   - [x] シングルポイントナレッジベース 検索 テスト
+   - [x] 対話中 のフィードバック 参照 と 修正 ・ 削除機能
+   - [x] 完全 なコンテキストの 提示
+   - [ ] 完全 なモジュール 中間値提示
+
+4. OpenAPI
+
+   - [x] 補完 インターフェイス (GPT インターフェイスに 合 わせる)
+   - [ ] ナレッジベース CRUD
+
+5. オペレーション 機能
+
+   - [x] ログイン 不要 の 共有 ウィンドウ
+   - [x] Iframe によるワンクリック 埋 め 込 み
+   - [ ] 対話記録 への 統一 されたアクセス
+
+## 👨‍💻 開発
+
+プロジェクトの 技術 スタック：NextJs + TS + ChakraUI + Mongo + Postgres (Vector プラグイン)
+
+- **⚡ デプロイ**
+
+  [![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
+
+  デプロイ 後、データベースをセットアップするので、2～4分待 ってください。基本設定 を 使 っているので、最初 は 少 し 遅 いかもしれません。
+
+- [ローカル 開発入門](https://doc.fastgpt.run/docs/development)
+- [FastGPT のデプロイ](https://doc.fastgpt.run/docs/installation)
+- [システム 設定 ガイド](https://doc.fastgpt.run/docs/installation/reference)
+- [複数 モデルの 設定](https://doc.fastgpt.run/docs/installation/reference/models)
+- [バージョン 更新 とアップグレード](https://doc.fastgpt.run/docs/installation/upgrading)
+
+<!-- ## :point_right: ロードマップ
+- [FastGPT ロードマップ](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
+
+<!-- ## 🏘️ コミュニティ
+
+| コミュニティグループ                                 | アシスタント                                     |
+| ------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) | -->
+
+## 👀 その 他
+
+- [FastGPT FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [Docker 導入 チュートリアル 動画](https://www.bilibili.com/video/BV1jo4y147fT/)
+- [公式 アカウント 統合 ビデオチュートリアル](https://www.bilibili.com/video/BV1xh4y1t7fy/)
+- [FastGPT ナレッジベースデモ](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
+
+## 💪 関連 プロジェクト
+
+- [Laf：サードパーティ 製 アプリケーションに 3 分 でクイックアクセス](https://github.com/labring/laf)
+- [Sealos：クラスタアプリケーションの 迅速 な 展開](https://github.com/labring/sealos)
+- [One API：マルチモデル 管理、Azure、Wenxin Yiyuan などをサポートします。](https://github.com/songquanpeng/one-api)
+- [TuShan：5 分 でバックエンド 管理 システムを 構築](https://github.com/msgbyte/tushan)
+
+## 🤝 サードパーティエコシステム
+
+- [luolinAI：すぐに 使 える 企業向 け WeChat ボット](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
+
+## 🌟 Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
--- a/docSite/.zhlintrc
+++ b/docSite/.zhlintrc
@@ -1,6 +1,6 @@
 {
-  "preset": "default",
-  "rules": {
-    "adjustedFullWidthPunctuation": ""
-  }
-}
+    "preset": "default",
+    "rules": {
+      "adjustedFullWidthPunctuation": ""
+    }
+  }
--- a/docSite/assets/imgs/fastgpt-api-baseurl.png
+++ b/docSite/assets/imgs/fastgpt-api-baseurl.png
--- a/docSite/assets/imgs/share-auth1.jpg
+++ b/docSite/assets/imgs/share-auth1.jpg
--- a/docSite/assets/imgs/share-auth2.png
+++ b/docSite/assets/imgs/share-auth2.png
--- a/docSite/assets/imgs/share-setlink.jpg
+++ b/docSite/assets/imgs/share-setlink.jpg
--- a/docSite/content/docs/development/configuration.md
+++ b/docSite/content/docs/development/configuration.md
@@ -26,7 +26,7 @@ weight: 520
    "qaMaxProcess": 15,  // QA 生成最大进程，结合数据库性能和 key 来设置
    "pgHNSWEfSearch": 100  // pg vector 索引参数，越大精度高但速度慢
  },
-  "ChatModels": [
+  "ChatModels": [ // 对话模型
    {
      "model": "gpt-3.5-turbo-1106",
      "name": "GPT35-1106",
@@ -76,7 +76,7 @@ weight: 520
      "defaultSystemChatPrompt": ""
    }
  ],
-  "QAModels": [
+  "QAModels": [ // QA 生成模型
    {
      "model": "gpt-3.5-turbo-16k",
      "name": "GPT35-16k",
@@ -85,14 +85,14 @@ weight: 520
      "price": 0
    }
  ],
-  "CQModels": [
+  "CQModels": [ // 问题分类模型
    {
      "model": "gpt-3.5-turbo-1106",
      "name": "GPT35-1106",
      "maxContext": 16000,
      "maxResponse": 4000,
      "price": 0,
-      "functionCall": true,
+      "functionCall": true, // 是否支持function call， 不支持的模型需要设置为 false，会走提示词生成
      "functionPrompt": ""
    },
    {
@@ -105,7 +105,7 @@ weight: 520
      "functionPrompt": ""
    }
  ],
-  "ExtractModels": [
+  "ExtractModels": [ // 内容提取模型
    {
      "model": "gpt-3.5-turbo-1106",
      "name": "GPT35-1106",
@@ -116,7 +116,7 @@ weight: 520
      "functionPrompt": ""
    }
  ],
-  "QGModels": [
+  "QGModels": [ // 生成下一步指引
    {
      "model": "gpt-3.5-turbo-1106",
      "name": "GPT35-1106",
@@ -125,7 +125,7 @@ weight: 520
      "price": 0
    }
  ],
-  "VectorModels": [
+  "VectorModels": [ // 向量模型
    {
      "model": "text-embedding-ada-002",
      "name": "Embedding-2",
--- a/docSite/content/docs/development/intro.md
+++ b/docSite/content/docs/development/intro.md
@@ -54,11 +54,11 @@ git clone git@github.com:<github_username>/FastGPT.git

 **环境变量**

-复制.env.template 文件，在同级目录下生成一个.env.local 文件，修改.env.local 里内容才是有效的变量。变量说明见 .env.template
+复制`.env.template`文件，在同级目录下生成一个`.env.local` 文件，修改`.env.local` 里内容才是有效的变量。变量说明见 .env.template

 **config 配置文件**

-复制 data/config.json 文件，生成一个 data/config.local.json 配置文件，具体配置参数说明，可参考 [config 配置说明](/docs/development/configuration)
+复制 `data/config.json` 文件，生成一个 `data/config.local.json` 配置文件，具体配置参数说明，可参考 [config 配置说明](/docs/development/configuration)

 **注意：json 配置文件不能包含注释，介绍中为了方便看才加入的注释**

--- a/docSite/content/docs/development/openApi.md
+++ b/docSite/content/docs/development/openApi.md
@@ -1,546 +0,0 @@
---
-title: 'OpenAPI 使用（API Key 使用）'
-description: 'FastGPT OpenAPI 文档'
-icon: 'api'
-draft: false
-toc: true
-weight: 512
---
-
-# 基本配置
-```
-baseUrl: "https://fastgpt.run/api"
-headers: {
-    Authorization: "Bearer apikey"
-}
-```
-
-# 如何获取 API Key
-
-FastGPT 的 API Key 有 2 类，一类是全局通用的 key；一类是携带了 AppId 也就是有应用标记的 key。
-
-|        通用key               |           应用特定 key            |
-| --------------------- | --------------------- |
-| ![](/imgs/fastgpt-api2.png) | ![](/imgs/fastgpt-api.png) |
-
-# 接口
-
-## 发起对话
-
-{{% alert icon="🤖 " context="success" %}}
-该接口 API Key 需使用应用特定的 key，否则会报错。  
-
-有些包的 BaseUrl 需要添加 `v1` 路径，有些不需要，建议都试一下。 
-{{% /alert %}}
-
-
-对话接口兼容`GPT`的接口！如果你的项目使用的是标准的`GPT`官方接口，可以直接通过修改 `BaseUrl` 和 `Authorization` 来访问 FastGpt 应用。
-
-请求参数说明
- headers.Authorization: Bearer apikey
- chatId: string | undefined 。
-  -  为 undefined 时（不传入），不使用 FastGpt 提供的上下文功能，完全通过传入的 messages 构建上下文。 不会将你的记录存储到数据库中，你也无法在记录汇总中查阅到。
-  - 为非空字符串时，意味着使用 chatId 进行对话，自动从 FastGpt 数据库取历史记录，并使用 messages 数组最后一个内容作为用户问题。(请自行确保 chatId 唯一，长度不限制)
- messages: 结构与 [GPT接口](https://platform.openai.com/docs/api-reference/chat/object) 完全一致。
- detail: 是否返回详细值(模块状态，响应的完整结果），`stream模式`下会通过event进行区分，`非stream模式`结果保存在responseData中。
- variables: 变量内容，一个对象，会替换`{{key}}`变量。在`HTTP`模块中会发给接口，可作为身份凭证等标识。
-
-**请求示例：**
-
-```bash
-curl --location --request POST 'https://fastgpt.run/api/v1/chat/completions' \
--header 'Authorization: Bearer apikey' \
--header 'Content-Type: application/json' \
--data-raw '{
-    "chatId":"111",
-    "stream":false,
-    "detail": false,
-    "variables": {
-        "cTime": "2022/2/2 22:22"
-    },
-    "messages": [
-        {
-            "content": "导演是谁",
-            "role": "user"
-        }
-    ]
-}'
-```
-
-
-{{< tabs tabTotal="3" >}}
-{{< tab tabName="detail=false 响应" >}}
-{{< markdownify >}}
-
-```bash
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":""},"index":0,"finish_reason":null}]}
-
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"电"},"index":0,"finish_reason":null}]}
-
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"影"},"index":0,"finish_reason":null}]}
-
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"《"},"index":0,"finish_reason":null}]}
-```
-
-{{< /markdownify >}}
-{{< /tab >}}
-
-{{< tab tabName="detail=true 响应" >}}
-{{< markdownify >}}
-
-```bash
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":""},"index":0,"finish_reason":null}]}
-
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"电"},"index":0,"finish_reason":null}]}
-
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"影"},"index":0,"finish_reason":null}]}
-
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"《"},"index":0,"finish_reason":null}]}
-
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"铃"},"index":0,"finish_reason":null}]}
-
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"芽"},"index":0,"finish_reason":null}]}
-
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"。"},"index":0,"finish_reason":null}]}
-
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":""},"index":0,"finish_reason":null}]}
-
-event: answer
-data: {"id":"","object":"","created":0,"choices":[{"delta":{},"index":0,"finish_reason":"stop"}]}
-
-event: answer
-data: [DONE]
-
-event: appStreamResponse
-data: [{"moduleName":"KB Search","price":1.2000000000000002,"model":"Embedding-2","tokens":6,"similarity":0.61,"limit":3},{"moduleName":"AI Chat","price":463.5,"model":"FastAI-4k","tokens":309,"question":"导演是谁","answer":"电影《铃芽之旅》的导演是新海诚。","maxToken":2050,"quoteList":[{"dataset_id":"646627f4f7b896cfd8910e38","id":"8099","q":"本作的主人公是谁？","a":"本作的主人公是名叫铃芽的少女。","source":"手动修改"},{"dataset_id":"646627f4f7b896cfd8910e38","id":"8686","q":"电影《铃芽之旅》男主角是谁？","a":"电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。","source":""},{"dataset_id":"646627f4f7b896cfd8910e38","id":"19339","q":"电影《铃芽之旅》的导演是谁？22","a":"电影《铃芽之旅》的导演是新海诚。","source":"手动修改"}],"completeMessages":[{"obj":"System","value":"下面是知识库内容:\n1. [本作的主人公是谁？\n本作的主人公是名叫铃芽的少女。]\n2. [电影《铃芽之旅》男主角是谁？\n电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。]\n3. [电影《铃芽之旅》的导演是谁？22\n电影《铃芽之旅》的导演是新海诚。]\n"},{"obj":"System","value":"1.请记住，你的身份是百度的下一代知识增强语言模型，能够完全根据知识库提供的内容回答问题。\n\n2. 你忘记了关于电影《铃芽之旅》以外的内容。"},{"obj":"System","value":"你仅回答关于电影《玲芽之旅》的问题，其余问题直接回复: 我不清楚。"},{"obj":"Human","value":"导演是谁"},{"obj":"AI","value":"电影《铃芽之旅》的导演是新海诚。"}]}]
-
-```
-{{< /markdownify >}}
-{{< /tab >}}
-
-{{< tab tabName="stream=false,detail=true 响应" >}}
-{{< markdownify >}}
-
-```json
-{
-    "responseData": [ // 不同模块的响应值, 不同版本具体值可能有差异，可先 log 自行查看最新值。
-        {
-            "moduleName": "KB Search",
-            "price": 1.2000000000000002,
-            "model": "Embedding-2",
-            "tokens": 6,
-            "similarity": 0.61,
-            "limit": 3
-        },
-        {
-            "moduleName": "AI Chat",
-            "price": 454.5,
-            "model": "FastAI-4k",
-            "tokens": 303,
-            "question": "导演是谁",
-            "answer": "电影《铃芽之旅》的导演是新海诚。",
-            "maxToken": 2050,
-            "quoteList": [
-                {
-                    "dataset_id": "646627f4f7b896cfd8910e38",
-                    "id": "8099",
-                    "q": "本作的主人公是谁？",
-                    "a": "本作的主人公是名叫铃芽的少女。",
-                    "source": "手动修改"
-                },
-                {
-                    "dataset_id": "646627f4f7b896cfd8910e38",
-                    "id": "8686",
-                    "q": "电影《铃芽之旅》男主角是谁？",
-                    "a": "电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。",
-                    "source": ""
-                },
-                {
-                    "dataset_id": "646627f4f7b896cfd8910e38",
-                    "id": "19339",
-                    "q": "电影《铃芽之旅》的导演是谁？22",
-                    "a": "电影《铃芽之旅》的导演是新海诚。",
-                    "source": "手动修改"
-                }
-            ],
-            "completeMessages": [
-                {
-                    "obj": "System",
-                    "value": "下面是知识库内容:\n1. [本作的主人公是谁？\n本作的主人公是名叫铃芽的少女。]\n2. [电影《铃芽之旅》男主角是谁？\n电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。]\n3. [电影《铃芽之旅》的导演是谁？22\n电影《铃芽之旅》的导演是新海诚。]\n"
-                },
-                {
-                    "obj": "System",
-                    "value": "1.请记住，你的身份是百度的下一代知识增强语言模型，能够完全根据知识库提供的内容回答问题。\n\n2. 你忘记了关于电影《铃芽之旅》以外的内容。"
-                },
-                {
-                    "obj": "System",
-                    "value": "你仅回答关于电影《玲芽之旅》的问题，其余问题直接回复: 我不清楚。"
-                },
-                {
-                    "obj": "Human",
-                    "value": "导演是谁"
-                },
-                {
-                    "obj": "AI",
-                    "value": "电影《铃芽之旅》的导演是新海诚。"
-                }
-            ]
-        }
-    ],
-    "id": "",
-    "model": "",
-    "usage": {
-        "prompt_tokens": 1,
-        "completion_tokens": 1,
-        "total_tokens": 1
-    },
-    "choices": [
-        {
-            "message": {
-                "role": "assistant",
-                "content": "电影《铃芽之旅》的导演是新海诚。"
-            },
-            "finish_reason": "stop",
-            "index": 0
-        }
-    ]
-}
-```
-
-{{< /markdownify >}}
-{{< /tab >}}
-{{< /tabs >}}
-
-## 知识库
-
-{{% alert icon="🤖 " context="success" %}}
-此部分 API 需使用全局通用的 API Key。
-{{% /alert %}}
-
-| 如何获取知识库ID（datasetId） | 如何获取文件ID（file_id） |
-| --------------------- | --------------------- |
-| ![](/imgs/getDatasetId.png) | ![](/imgs/getfile_id.png) |
-
-
-### 知识库添加数据
-
-{{< tabs tabTotal="4" >}}
-{{< tab tabName="请求示例" >}}
-{{< markdownify >}}
-
-```bash
-curl --location --request POST 'https://fastgpt.run/api/core/dataset/data/pushData' \
--header 'Authorization: Bearer apikey' \
--header 'Content-Type: application/json' \
--data-raw '{
-    "collectionId": "64663f451ba1676dbdef0499",
-    "mode": "index",
-    "prompt": "qa 拆分引导词，index 模式下可以忽略",
-    "billId": "可选。如果有这个值，本次的数据会被聚合到一个订单中，这个值可以重复使用。可以参考 [创建训练订单] 获取该值。",
-    "data": [
-        {
-            "a": "test",
-            "q": "1111",
-            "file_id": "关联的文件ID/URL/manual/mark",
-            "source": "来源名称"，
-        },
-        {
-            "a": "test2",
-            "q": "22222"
-        }
-    ]
-}'
-```
-
-{{< /markdownify >}}
-{{< /tab >}}
-
-{{< tab tabName="参数说明" >}}
-{{< markdownify >}}
-
-```json
-{
-    "collectionId": "文件的ID，参考上面的第二张图",
-    "mode": "index | qa ", //  index 模式: 直接将 q 转成向量存起来，a 直接入库。qa 模式: 只关注 data 里的 q，将 q 丢给大模型，让其根据 prompt 拆分成 qa 问答对。  
-    "prompt": "拆分提示词，需严格按照模板，建议不要传入。",
-    "data": [
-        {
-            "q": "生成索引的内容，index 模式下最大 tokens 为3000，建议不超过 1000",
-            "a": "预期回答/补充",
-            "file_id": "如果推送数据到手动录入，这里可以留空; 如果希望关联到某个文件中，需要填写对应文件的ID; 如果希望加入到手动标注中，可设置为: mark",
-        },
-        {
-            "q": "生成索引的内容，qa 模式下最大 tokens 为10000，建议 8000 左右",
-            "a": "预期回答/补充"
-        }
-    ]
-}
-```
-
-{{< /markdownify >}}
-{{< /tab >}}
-
-{{< tab tabName="响应例子" >}}
-{{< markdownify >}}
-
-```json
-{
-    "code": 200,
-    "statusText": "",
-    "data": {
-        "insertLen": 1, // 最终插入成功的数量
-        "overToken": [], // 超出 token 的
-        "fileIdInvalid": [  // file_id 无效的
-            {
-                "a": "飞飞dsaf飞",
-                "q": "测试是32否收到",
-                "file_id": "32dwe"
-            }
-        ],
-        "error": [] // 其他错误
-    }
-}
-```
-
-{{< /markdownify >}}
-{{< /tab >}}
-
-{{< tab tabName="QA Prompt 模板" >}}
-{{< markdownify >}}
-
-{{theme}} 里的内容可以换成数据的主题。默认为：它们可能包含多个主题内容
-
-```
-我会给你一段文本，{{theme}}，学习它们，并整理学习成果，要求为：
-1. 提出最多 25 个问题。
-2. 给出每个问题的答案。
-3. 答案要详细完整，答案可以包含普通文字、链接、代码、表格、公示、媒体链接等 markdown 元素。
-4. 按格式返回多个问题和答案:
-
-Q1: 问题。
-A1: 答案。
-Q2:
-A2:
-……
-
-我的文本："""{{text}}"""
-```
-
-{{< /markdownify >}}
-{{< /tab >}}
-
-{{< /tabs >}}
-
-
-### 搜索测试
-
-{{< tabs tabTotal="2" >}}
-{{< tab tabName="请求示例" >}}
-{{< markdownify >}}
-
-```bash
-curl --location --request POST 'https://fastgpt.run/api/core/dataset/searchTest' \
--header 'Authorization: Bearer apiKey' \
--header 'Content-Type: application/json' \
--data-raw '{
-    "datasetId": "知识库的ID",
-    "text": "导演是谁"
-}'
-```
-
-{{< /markdownify >}}
-{{< /tab >}}
-
-{{< tab tabName="响应示例" >}}
-{{< markdownify >}}
-
-返回 top12 结果
-
-```bash
-{
-  "code": 200,
-  "statusText": "",
-  "data": [
-    {
-      "id": "5613327",
-      "q": "该人有获奖情况吗？",
-      "a": "该人获得过2020/07全国大学生服务外包大赛国家一等奖和2021/05国家创新创业计划立项的获奖情况。",
-      "source": "余金隆简历.pdf",
-      "score": 0.41556452839298963
-    },
-    ......
-  ]
-}
-```
-
-{{< /markdownify >}}
-{{< /tab >}}
-
-{{< /tabs >}}
-
-## 订单
-
-### 创建训练订单
-
-**请求示例**
-
-```bash
-curl --location --request POST 'https://fastgpt.run/api/support/wallet/bill/createTrainingBill' \
--header 'Authorization: Bearer {{apikey}}' \
--header 'Content-Type: application/json' \
--data-raw ''
-```
-
-**响应结果**
-
-data 为 billId，可用于 api 添加数据时进行账单聚合。
-
-```json
-{
-  "code": 200,
-  "statusText": "",
-  "message": "",
-  "data": "65112ab717c32018f4156361"
-}
-```
-
-## 免登录分享链接校验（内测中）
-
-免登录链接配置中，增加了`凭证校验服务器`后，使用分享链接时会向服务器发起请求，校验链接是否可用，并在每次对话结束后，向服务器发送对话结果。下面以`host`来表示`凭证校验服务器`。服务器接口仅需返回是否校验成功即可，不需要返回其他数据，格式如下：
-
-```json
-{
-    "success": true,
-    "message": "错误提示"
-}
-```
-
-![](/imgs/sharelinkProcess.png)
-
-### 分享链接中增加额外 query
-
-增加一个 query: authToken。例如：
-
-原始的链接：https://fastgpt.run/chat/share?shareId=648aaf5ae121349a16d62192  
-完整链接: https://fastgpt.run/chat/share?shareId=648aaf5ae121349a16d62192&authToken=userid12345
-
-发出校验请求时候，会在`body`中携带 token={{authToken}} 的参数。
-
-### 初始化校验
-
-**FastGPT 发出的请求**
-
-```bash
-curl --location --request POST '{{host}}/shareAuth/init' \
--header 'Content-Type: application/json' \
--data-raw '{
-    "token": "sintdolore"
-}'
-```
-
-### 对话前校验
-
-**FastGPT 发出的请求**
-
-```bash
-curl --location --request POST '{{host}}/shareAuth/start' \
--header 'Content-Type: application/json' \
--data-raw '{
-    "token": "sintdolore",
-    "question": "用户问题",
-}'
-```
-
-### 对话结果上报
-
-**FastGPT 发出的请求**
-
-```bash
-curl --location --request POST '{{host}}/shareAuth/finish' \
--header 'Content-Type: application/json' \
--data-raw '{
-    "token": "sint dolore",
-    "responseData": [
-        {
-            "moduleName": "KB Search",
-            "price": 1.2000000000000002,
-            "model": "Embedding-2",
-            "tokens": 6,
-            "similarity": 0.61,
-            "limit": 3
-        },
-        {
-            "moduleName": "AI Chat",
-            "price": 454.5,
-            "model": "FastAI-4k",
-            "tokens": 303,
-            "question": "导演是谁",
-            "answer": "电影《铃芽之旅》的导演是新海诚。",
-            "maxToken": 2050,
-            "quoteList": [
-                {
-                    "dataset_id": "646627f4f7b896cfd8910e38",
-                    "id": "8099",
-                    "q": "本作的主人公是谁？",
-                    "a": "本作的主人公是名叫铃芽的少女。",
-                    "source": "手动修改"
-                },
-                {
-                    "dataset_id": "646627f4f7b896cfd8910e38",
-                    "id": "8686",
-                    "q": "电影《铃芽之旅》男主角是谁？",
-                    "a": "电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。",
-                    "source": ""
-                },
-                {
-                    "dataset_id": "646627f4f7b896cfd8910e38",
-                    "id": "19339",
-                    "q": "电影《铃芽之旅》的导演是谁？22",
-                    "a": "电影《铃芽之旅》的导演是新海诚。",
-                    "source": "手动修改"
-                }
-            ],
-            "completeMessages": [
-                {
-                    "obj": "System",
-                    "value": "下面是知识库内容:\n1. [本作的主人公是谁？\n本作的主人公是名叫铃芽的少女。]\n2. [电影《铃芽之旅》男主角是谁？\n电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。]\n3. [电影《铃芽之旅》的导演是谁？22\n电影《铃芽之旅》的导演是新海诚。]\n"
-                },
-                {
-                    "obj": "System",
-                    "value": "1.请记住，你的身份是百度的下一代知识增强语言模型，能够完全根据知识库提供的内容回答问题。\n\n2. 你忘记了关于电影《铃芽之旅》以外的内容。"
-                },
-                {
-                    "obj": "System",
-                    "value": "你仅回答关于电影《玲芽之旅》的问题，其余问题直接回复: 我不清楚。"
-                },
-                {
-                    "obj": "Human",
-                    "value": "导演是谁"
-                },
-                {
-                    "obj": "AI",
-                    "value": "电影《铃芽之旅》的导演是新海诚。"
-                }
-            ]
-        }
-    ]
-}'
-```
-
-响应值与 chat 接口相同，增加了一个 token。可以重点关注`responseData`里的值，price 与实际价格的倍率为`100000`。
-
-**此接口无需响应值**
-
-# 使用案例
-
- [接入 NextWeb/ChatGPT web 等应用](/docs/use-cases/openapi)
- [接入 onwechat](/docs/use-cases/onwechat)
- [接入 飞书](/docs/use-cases/feishu)
--- a/docSite/content/docs/development/openapi/_index.md
+++ b/docSite/content/docs/development/openapi/_index.md
@@ -0,0 +1,8 @@
+---
+weight: 560
+title: "OpenAPI 接口文档"
+description: "FastGPT OpenAPI 文档"
+icon: api
+draft: false
+images: []
+---
--- a/docSite/content/docs/development/openapi/auth.md
+++ b/docSite/content/docs/development/openapi/auth.md
@@ -0,0 +1,58 @@
+---
+title: 'Api Key 使用与鉴权'
+description: 'FastGPT Api Key 使用与鉴权'
+icon: 'key'
+draft: false
+toc: true
+weight: 561
+---
+
+## 使用说明
+
+FasGPT OpenAPI 接口允许你使用 Api Key 进行鉴权，从而操作 FastGPT 上的相关服务和资源，例如：调用应用对话接口、上传知识库数据、搜索测试等等。出于兼容性和安全考虑，并不是所有的接口都允许通过 Api Key 访问。
+
+## 如何查看 BaseURL
+
+**注意：BaseURL 不是接口地址，而是所有接口的根地址，直接请求 BaseURL 是没有用的。**
+
+![](/imgs/fastgpt-api-baseurl.png)
+
+## 如何获取 Api Key
+
+FastGPT 的 API Key **有 2 类**，一类是全局通用的 key (无法直接调用应用对话)；一类是携带了 AppId 也就是有应用标记的 key (可直接调用应用对话)。
+
+我们建议，仅操作应用或者对话的相关接口使用 `应用特定key`，其他接口使用 `通用key`。
+
+|        通用key               |           应用特定 key            |
+| --------------------- | --------------------- |
+| ![](/imgs/fastgpt-api2.png) | ![](/imgs/fastgpt-api.png) |
+
+## 基本配置
+
+OpenAPI 中，所有的接口都通过 Header.Authorization 进行鉴权。
+
+```
+baseUrl: "https://fastgpt.run/api"
+headers: {
+    Authorization: "Bearer {{apikey}}"
+}
+```
+
+**发起应用对话示例**
+
+```sh
+curl --location --request POST 'https://fastgpt.run/api/v1/chat/completions' \
+--header 'Authorization: Bearer fastgpt-xxxxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "chatId": "111",
+    "stream": false,
+    "detail": false,
+    "messages": [
+        {
+            "content": "导演是谁",
+            "role": "user"
+        }
+    ]
+}'
+```
--- a/docSite/content/docs/development/openapi/chat.md
+++ b/docSite/content/docs/development/openapi/chat.md
@@ -0,0 +1,254 @@
+---
+title: '对话接口'
+description: 'FastGPT OpenAPI 对话接口'
+icon: 'chat'
+draft: false
+toc: true
+weight: 562
+---
+
+## 发起对话
+
+{{% alert icon="🤖 " context="success" %}}
+该接口的 API Key 需使用`应用特定的 key`，否则会报错。  
+
+有些包调用时，`BaseUrl`需要添加`v1`路径，有些不需要，如果出现404情况，可补充`v1`重试。
+{{% /alert %}}
+
+
+**对话接口兼容`GPT`的接口！如果你的项目使用的是标准的`GPT`官方接口，可以直接通过修改`BaseUrl`和 `Authorization`来访问 FastGpt 应用。**
+
+## 请求
+
+{{< tabs tabTotal="2" >}}
+{{< tab tabName="请求示例" >}}
+{{< markdownify >}}
+
+```bash
+curl --location --request POST 'https://fastgpt.run/api/v1/chat/completions' \
+--header 'Authorization: Bearer fastgpt-xxxxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "chatId": "abcd",
+    "stream": false,
+    "detail": false,
+    "variables": {
+        "uid": "asdfadsfasfd2323",
+        "name": "张三"
+    },
+    "messages": [
+        {
+            "content": "导演是谁",
+            "role": "user"
+        }
+    ]
+}'
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="detail=true 响应" >}}
+{{< markdownify >}}
+
+{{% alert context="info" %}}
+- headers.Authorization: Bearer {{apikey}}
+- chatId: string | undefined 。
+  - 为 `undefined` 时（不传入），不使用 FastGpt 提供的上下文功能，完全通过传入的 messages 构建上下文。 不会将你的记录存储到数据库中，你也无法在记录汇总中查阅到。
+  - 为`非空字符串`时，意味着使用 chatId 进行对话，自动从 FastGpt 数据库取历史记录，并使用 messages 数组最后一个内容作为用户问题。请自行确保 chatId 唯一，长度小于250，通常可以是自己系统的对话框ID。
+- messages: 结构与 [GPT接口](https://platform.openai.com/docs/api-reference/chat/object) 完全一致。
+- detail: 是否返回中间值（模块状态，响应的完整结果等），`stream模式`下会通过`event`进行区分，`非stream模式`结果保存在`responseData`中。
+- variables: 模块变量，一个对象，会替换模块中，输入框内容里的`{{key}}`
+{{% /alert %}}
+
+
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
+
+## 响应
+
+{{< tabs tabTotal="4" >}}
+{{< tab tabName="detail=false,stream=false 响应" >}}
+{{< markdownify >}}
+
+```json
+{
+    "id": "adsfasf",
+    "model": "",
+    "usage": {
+        "prompt_tokens": 1,
+        "completion_tokens": 1,
+        "total_tokens": 1
+    },
+    "choices": [
+        {
+            "message": {
+                "role": "assistant",
+                "content": "电影《铃芽之旅》的导演是新海诚。"
+            },
+            "finish_reason": "stop",
+            "index": 0
+        }
+    ]
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="detail=false,stream=true 响应" >}}
+{{< markdownify >}}
+
+
+```bash
+data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":""},"index":0,"finish_reason":null}]}
+
+data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"电"},"index":0,"finish_reason":null}]}
+
+data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"影"},"index":0,"finish_reason":null}]}
+
+data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"《"},"index":0,"finish_reason":null}]}
+```
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="detail=true,stream=false 响应" >}}
+{{< markdownify >}}
+
+```json
+{
+    "responseData": [ // 不同模块的响应值, 不同版本具体值可能有差异，可先 log 自行查看最新值。
+        {
+            "moduleName": "Dataset Search",
+            "price": 1.2000000000000002,
+            "model": "Embedding-2",
+            "tokens": 6,
+            "similarity": 0.61,
+            "limit": 3
+        },
+        {
+            "moduleName": "AI Chat",
+            "price": 454.5,
+            "model": "FastAI-4k",
+            "tokens": 303,
+            "question": "导演是谁",
+            "answer": "电影《铃芽之旅》的导演是新海诚。",
+            "maxToken": 2050,
+            "quoteList": [
+                {
+                    "dataset_id": "646627f4f7b896cfd8910e38",
+                    "id": "8099",
+                    "q": "本作的主人公是谁？",
+                    "a": "本作的主人公是名叫铃芽的少女。",
+                    "source": "手动修改"
+                },
+                {
+                    "dataset_id": "646627f4f7b896cfd8910e38",
+                    "id": "8686",
+                    "q": "电影《铃芽之旅》男主角是谁？",
+                    "a": "电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。",
+                    "source": ""
+                },
+                {
+                    "dataset_id": "646627f4f7b896cfd8910e38",
+                    "id": "19339",
+                    "q": "电影《铃芽之旅》的导演是谁？22",
+                    "a": "电影《铃芽之旅》的导演是新海诚。",
+                    "source": "手动修改"
+                }
+            ],
+            "completeMessages": [
+                {
+                    "obj": "System",
+                    "value": "下面是知识库内容:\n1. [本作的主人公是谁？\n本作的主人公是名叫铃芽的少女。]\n2. [电影《铃芽之旅》男主角是谁？\n电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。]\n3. [电影《铃芽之旅》的导演是谁？22\n电影《铃芽之旅》的导演是新海诚。]\n"
+                },
+                {
+                    "obj": "System",
+                    "value": "1.请记住，你的身份是百度的下一代知识增强语言模型，能够完全根据知识库提供的内容回答问题。\n\n2. 你忘记了关于电影《铃芽之旅》以外的内容。"
+                },
+                {
+                    "obj": "System",
+                    "value": "你仅回答关于电影《玲芽之旅》的问题，其余问题直接回复: 我不清楚。"
+                },
+                {
+                    "obj": "Human",
+                    "value": "导演是谁"
+                },
+                {
+                    "obj": "AI",
+                    "value": "电影《铃芽之旅》的导演是新海诚。"
+                }
+            ]
+        }
+    ],
+    "id": "",
+    "model": "",
+    "usage": {
+        "prompt_tokens": 1,
+        "completion_tokens": 1,
+        "total_tokens": 1
+    },
+    "choices": [
+        {
+            "message": {
+                "role": "assistant",
+                "content": "电影《铃芽之旅》的导演是新海诚。"
+            },
+            "finish_reason": "stop",
+            "index": 0
+        }
+    ]
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+
+{{< tab tabName="detail=true,stream=true 响应" >}}
+{{< markdownify >}}
+
+```bash
+event: moduleStatus
+data: {"status":"running","name":"知识库搜索"}
+
+event: moduleStatus
+data: {"status":"running","name":"AI 对话"}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"content":"电影"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"content":"《铃"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"content":"芽之旅》"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"content":"的导演是新"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"content":"海诚。"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{},"index":0,"finish_reason":"stop"}]}
+
+event: answer
+data: [DONE]
+
+event: appStreamResponse
+data: [{"moduleName":"知识库搜索","moduleType":"datasetSearchNode","runningTime":1.78},{"question":"导演是谁","quoteList":[{"id":"654f2e49b64caef1d9431e8b","q":"电影《铃芽之旅》的导演是谁？","a":"电影《铃芽之旅》的导演是新海诚!","indexes":[{"type":"qa","dataId":"3515487","text":"电影《铃芽之旅》的导演是谁？","_id":"654f2e49b64caef1d9431e8c","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8935586214065552},{"id":"6552e14c50f4a2a8e632af11","q":"导演是谁？","a":"电影《铃芽之旅》的导演是新海诚。","indexes":[{"defaultIndex":true,"type":"qa","dataId":"3644565","text":"导演是谁？\n电影《铃芽之旅》的导演是新海诚。","_id":"6552e14dde5cc7ba3954e417"}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8890955448150635},{"id":"654f34a0b64caef1d946337e","q":"本作的主人公是谁？","a":"本作的主人公是名叫铃芽的少女。","indexes":[{"type":"qa","dataId":"3515541","text":"本作的主人公是谁？","_id":"654f34a0b64caef1d946337f","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8738770484924316},{"id":"654f3002b64caef1d944207a","q":"电影《铃芽之旅》男主角是谁？","a":"电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。","indexes":[{"type":"qa","dataId":"3515538","text":"电影《铃芽之旅》男主角是谁？","_id":"654f3002b64caef1d944207b","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8607980012893677},{"id":"654f2fc8b64caef1d943fd46","q":"电影《铃芽之旅》的编剧是谁？","a":"新海诚是本片的编剧。","indexes":[{"defaultIndex":true,"type":"qa","dataId":"3515550","text":"电影《铃芽之旅》的编剧是谁？22","_id":"654f2fc8b64caef1d943fd47"}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8468944430351257}],"moduleName":"AI 对话","moduleType":"chatNode","runningTime":1.86}]
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
+
+
+## 使用案例
+
+- [接入 NextWeb/ChatGPT web 等应用](/docs/use-cases/openapi)
+- [接入 onwechat](/docs/use-cases/onwechat)
+- [接入 飞书](/docs/use-cases/feishu)
--- a/docSite/content/docs/development/openapi/dataset.md
+++ b/docSite/content/docs/development/openapi/dataset.md
@@ -0,0 +1,214 @@
+---
+title: '知识库接口'
+description: 'FastGPT OpenAPI 知识库接口'
+icon: 'dataset'
+draft: false
+toc: true
+weight: 563
+---
+
+| 如何获取知识库ID（datasetId） | 如何获取文件集合ID（collection_id） |
+| --------------------- | --------------------- |
+| ![](/imgs/getDatasetId.png) | ![](/imgs/getfile_id.png) |
+
+
+
+## 创建训练订单
+
+**请求示例**
+
+```bash
+curl --location --request POST 'https://fastgpt.run/api/support/wallet/bill/createTrainingBill' \
+--header 'Authorization: Bearer {{apikey}}' \
+--header 'Content-Type: application/json' \
+--data-raw ''
+```
+
+**响应结果**
+
+data 为 billId，可用于添加知识库数据时进行账单聚合。
+
+```json
+{
+  "code": 200,
+  "statusText": "",
+  "message": "",
+  "data": "65112ab717c32018f4156361"
+}
+```
+
+## 知识库添加数据
+
+{{< tabs tabTotal="4" >}}
+{{< tab tabName="请求示例" >}}
+{{< markdownify >}}
+
+```bash
+curl --location --request POST 'https://fastgpt.run/api/core/dataset/data/pushData' \
+--header 'Authorization: Bearer apikey' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "collectionId": "64663f451ba1676dbdef0499",
+    "mode": "chunk",
+    "prompt": "可选。qa 拆分引导词，chunk 模式下忽略",
+    "billId": "可选。如果有这个值，本次的数据会被聚合到一个订单中，这个值可以重复使用。可以参考 [创建训练订单] 获取该值。",
+    "data": [
+        {
+            "q": "你是谁？",
+            "a": "我是FastGPT助手"
+        },
+        {
+            "q": "你会什么？",
+            "a": "我什么都会",
+            "indexes": [{
+                "type":"custom",
+                "text":"你好"
+            }]
+        }
+    ]
+}'
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="参数说明" >}}
+{{< markdownify >}}
+
+需要先了解 FastGPT 的多路索引概念：
+
+在 FastGPT 中，你可以为一组数据创建多个索引，如果不指定索引，则系统会自动取对应的 chunk 作为索引。例如前面的请求示例中：
+
+`q：你是谁？a:我是FastGPT助手` 它的`indexes`属性为空，意味着不自定义索引，而是使用默认的索引（你是谁？\n我是FastGPT助手）。
+
+在第二组数据中`q:你会什么？a:我什么都会`指定了一个`你好`的索引，因此这组数据的索引为`你好`。
+
+```json
+{
+    "collectionId": "文件集合的ID，参考上面的第二张图",
+    "mode": "chunk | qa ", //  chunk 模式: 可自定义索引。qa 模型：无法自定义索引，会自动取 data 中的 q 作为数据，让模型自动生成问答对和索引。
+    "prompt": "QA 拆分提示词，需严格按照模板，建议不要传入。",
+    "data": [
+        {
+            "q": "生成索引的内容，index 模式下最大 tokens 为3000，建议不超过 1000",
+            "a": "预期回答/补充",
+            "indexes": "自定义索引",
+        },
+        {
+            "q": "xxx",
+            "a": "xxxx"
+        }
+    ],
+    
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="响应例子" >}}
+{{< markdownify >}}
+
+```json
+{
+    "code": 200,
+    "statusText": "",
+    "data": {
+        "insertLen": 1, // 最终插入成功的数量
+        "overToken": [], // 超出 token 的
+       
+        "repeat": [], // 重复的数量
+        "error": [] // 其他错误
+    }
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="QA Prompt 模板" >}}
+{{< markdownify >}}
+
+{{theme}} 里的内容可以换成数据的主题。默认为：它们可能包含多个主题内容
+
+```
+我会给你一段文本，{{theme}}，学习它们，并整理学习成果，要求为：
+1. 提出最多 25 个问题。
+2. 给出每个问题的答案。
+3. 答案要详细完整，答案可以包含普通文字、链接、代码、表格、公示、媒体链接等 markdown 元素。
+4. 按格式返回多个问题和答案:
+
+Q1: 问题。
+A1: 答案。
+Q2:
+A2:
+……
+
+我的文本："""{{text}}"""
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< /tabs >}}
+
+
+## 搜索测试
+
+{{< tabs tabTotal="2" >}}
+{{< tab tabName="请求示例" >}}
+{{< markdownify >}}
+
+```bash
+curl --location --request POST 'https://fastgpt.run/api/core/dataset/searchTest' \
+--header 'Authorization: Bearer fastgpt-xxxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "datasetId": "知识库的ID",
+    "text": "导演是谁",
+    "rarank": true,
+    "limit": 20
+}'
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="响应示例" >}}
+{{< markdownify >}}
+
+返回 top limit 结果
+
+```bash
+{
+  "code": 200,
+  "statusText": "",
+  "data": [
+    {
+        "id": "65599c54a5c814fb803363cb",
+        "q": "你是谁",
+        "a": "我是FastGPT助手",
+        "indexes": [
+            {
+                "defaultIndex": true,
+                "type": "qa",
+                "dataId": "3645952",
+                "text": "你是谁\n我是FastGPT助手",
+                "_id": "65599c5588271af95b019862"
+            }
+        ],
+        "datasetId": "6554684f7f9ed18a39a4d15c",
+        "collectionId": "6556cd795e4b663e770bb66d",
+        "sourceName": "GBT 15104-2021 装饰单板贴面人造板.pdf",
+        "sourceId": "6556cd775e4b663e770bb65c",
+        "score": 0.8050316572189331
+    },
+    ......
+  ]
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< /tabs >}}
--- a/docSite/content/docs/development/openapi/share.md
+++ b/docSite/content/docs/development/openapi/share.md
@@ -0,0 +1,257 @@
+---
+title: '分享链接鉴权'
+description: 'FastGPT 分享链接鉴权'
+icon: 'share'
+draft: false
+toc: true
+weight: 564
+---
+
+## 使用说明
+
+分享链接鉴权设计的目的在于，将 FastGPT 的对话框安全的接入你现有的系统中。
+
+免登录链接配置中，增加了`凭证校验服务器`后，使用分享链接时会向服务器发起请求，校验链接是否可用，并在每次对话结束后，向服务器发送对话结果。下面以`host`来表示`凭证校验服务器`。服务器接口仅需返回是否校验成功即可，不需要返回其他数据，格式如下：
+
+```json
+{
+    "success": true,
+    "message": "错误提示",
+    "msg": "同message, 错误提示"
+}
+```
+
+![](/imgs/sharelinkProcess.png)
+
+## 配置校验地址和校验token
+
+### 1. 配置校验地址的`BaseURL`、
+
+![](/imgs/share-setlink.jpg)
+
+配置校验地址后，在每次分享链接使用时，都会向对应的地址发起校验和上报请求。
+
+### 2. 分享链接中增加额外 query
+
+在分享链接的地址中，增加一个额外的参数: authToken。例如：
+
+原始的链接：https://fastgpt.run/chat/share?shareId=648aaf5ae121349a16d62192  
+完整链接: https://fastgpt.run/chat/share?shareId=648aaf5ae121349a16d62192&authToken=userid12345
+
+这个`token`通常是你系统生成的，在发出校验请求时，FastGPT 会在`body`中携带 token={{authToken}} 的参数。
+
+## 聊天初始化校验
+
+**FastGPT 发出的请求**
+
+```bash
+curl --location --request POST '{{host}}/shareAuth/init' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "token": "sintdolore"
+}'
+```
+
+**响应示例**
+
+```json
+{
+    "success": false,
+    "message": "分享链接无效",
+}
+```
+
+## 对话前校验
+
+**FastGPT 发出的请求**
+
+```bash
+curl --location --request POST '{{host}}/shareAuth/start' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "token": "sintdolore",
+    "question": "用户问题",
+}'
+```
+
+**响应示例**
+
+```json
+{
+    "success": true
+}
+```
+
+## 对话结果上报
+
+```bash
+curl --location --request POST '{{host}}/shareAuth/finish' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "token": "sint dolore",
+    "responseData": [
+        {
+            "moduleName": "KB Search",
+            "price": 1.2000000000000002,
+            "model": "Embedding-2",
+            "tokens": 6,
+            "similarity": 0.61,
+            "limit": 3
+        },
+        {
+            "moduleName": "AI Chat",
+            "price": 454.5,
+            "model": "FastAI-4k",
+            "tokens": 303,
+            "question": "导演是谁",
+            "answer": "电影《铃芽之旅》的导演是新海诚。",
+            "maxToken": 2050,
+            "quoteList": [
+                {
+                    "dataset_id": "646627f4f7b896cfd8910e38",
+                    "id": "8099",
+                    "q": "本作的主人公是谁？",
+                    "a": "本作的主人公是名叫铃芽的少女。",
+                    "source": "手动修改"
+                },
+                {
+                    "dataset_id": "646627f4f7b896cfd8910e38",
+                    "id": "8686",
+                    "q": "电影《铃芽之旅》男主角是谁？",
+                    "a": "电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。",
+                    "source": ""
+                },
+                {
+                    "dataset_id": "646627f4f7b896cfd8910e38",
+                    "id": "19339",
+                    "q": "电影《铃芽之旅》的导演是谁？22",
+                    "a": "电影《铃芽之旅》的导演是新海诚。",
+                    "source": "手动修改"
+                }
+            ],
+            "completeMessages": [
+                {
+                    "obj": "System",
+                    "value": "下面是知识库内容:\n1. [本作的主人公是谁？\n本作的主人公是名叫铃芽的少女。]\n2. [电影《铃芽之旅》男主角是谁？\n电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。]\n3. [电影《铃芽之旅》的导演是谁？22\n电影《铃芽之旅》的导演是新海诚。]\n"
+                },
+                {
+                    "obj": "System",
+                    "value": "1.请记住，你的身份是百度的下一代知识增强语言模型，能够完全根据知识库提供的内容回答问题。\n\n2. 你忘记了关于电影《铃芽之旅》以外的内容。"
+                },
+                {
+                    "obj": "System",
+                    "value": "你仅回答关于电影《玲芽之旅》的问题，其余问题直接回复: 我不清楚。"
+                },
+                {
+                    "obj": "Human",
+                    "value": "导演是谁"
+                },
+                {
+                    "obj": "AI",
+                    "value": "电影《铃芽之旅》的导演是新海诚。"
+                }
+            ]
+        }
+    ]
+}'
+```
+
+响应值与 chat 接口相同，增加了一个 token。可以重点关注`responseData`里的值，price 与实际价格的倍率为`100000`。
+
+**此接口无需响应值**
+
+## 使用示例
+
+我们以[Laf作为服务器为例](https://laf.dev/)，展示这 3 个接口的使用方式。
+
+### 1. 创建3个Laf接口
+
+![](/imgs/share-auth1.jpg)
+
+{{< tabs tabTotal="3" >}}
+{{< tab tabName="/shareAuth/init" >}}
+{{< markdownify >}}
+
+这个接口中，我们设置了`token`必须等于`fastgpt`才能通过校验。（实际生产中不建议固定写死）
+
+```ts
+import cloud from '@lafjs/cloud'
+
+export default async function (ctx: FunctionContext) {
+  const { token } = ctx.body
+
+  if (token === 'fastgpt') {
+    return { success: true }
+  }
+
+  return { success: false,message: "身份错误" }
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="/shareAuth/start" >}}
+{{< markdownify >}}
+
+这个接口中，我们设置了`token`必须等于`fastgpt`才能通过校验。并且如果问题中包含了`你`字，则会报错，用于模拟敏感校验。
+
+```ts
+import cloud from '@lafjs/cloud'
+
+export default async function (ctx: FunctionContext) {
+  const { token, question } = ctx.body
+  console.log(token, question, 'start')
+
+  if (token !== 'fastgpt') {
+    return { success: false, message: "身份错误" }
+ 
+  }
+
+  if(question.includes("你")){
+    return { success: false, message: "内容不合规" }
+  }
+
+  return { success: true } 
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="/shareAuth/finish" >}}
+{{< markdownify >}}
+
+结果上报接口可自行进行逻辑处理。
+
+```ts
+import cloud from '@lafjs/cloud'
+
+export default async function (ctx: FunctionContext) {
+  const { token, responseData } = ctx.body
+  console.log(token,responseData,'=====')
+  return { }
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
+
+
+### 2. 配置校验地址
+
+我们随便复制3个地址中一个接口：https://d8dns0.laf.dev/shareAuth/finish , 去除 /shareAuth/finish 后填入 FastGPT 中: https://d8dns0.laf.dev
+
+![](/imgs/share-auth2.jpg)
+
+### 3. 修改分享链接参数
+
+源分享链接：[https://fastgpt.run/chat/share?shareId=64be36376a438af0311e599c](https://fastgpt.run/chat/share?shareId=64be36376a438af0311e599c)
+
+修改后：[https://fastgpt.run/chat/share?shareId=64be36376a438af0311e599c&authToken=fastgpt](https://fastgpt.run/chat/share?shareId=64be36376a438af0311e599c&authToken=fastgpt)
+
+### 4. 测试效果
+
+1. 打开源链接或者`authToken`不等于 `fastgpt`的链接会提示身份错误。
+2. 发送内容中包含你字，会提示内容不合规。
--- a/docSite/content/docs/installation/one-api.md
+++ b/docSite/content/docs/installation/one-api.md
@@ -46,7 +46,6 @@ SqlLite 版本不支持多实例，适合个人小流量使用，但是价格非

 ```
 SESSION_SECRET=SESSION_SECRET
-CHANNEL_TEST_FREQUENCY=30
 POLLING_INTERVAL=60
 BATCH_UPDATE_ENABLED=true
 BATCH_UPDATE_INTERVAL=60
@@ -72,7 +71,7 @@ BATCH_UPDATE_INTERVAL=60

 ### 3. 修改 FastGPT 的环境变量

-有了 One API 令牌后，FastGPT 可以通过修改 baseurl 和 key 去请求到 One API，再由 One API 去请求不同的模型。修改下面两个环境变量：
+有了 One API 令牌后，FastGPT 可以通过修改 `baseurl` 和 `key` 去请求到 One API，再由 One API 去请求不同的模型。修改下面两个环境变量：

 ```bash
 # 下面的地址是 Sealos 提供的，务必写上 v1， 两个项目都在 sealos 部署时候，https://xxxx.cloud.sealos.io 可以改用内网地址
@@ -104,6 +103,7 @@ CHAT_API_KEY=sk-xxxxxx
      // 例如：文心一言的中英文 token 基本是 1:1，而 GPT 的中文 Token 是 2:1，如果文心一言官方最大 Token 是 4000，那么这里就可以填 8000，保险点就填 7000.
      "quoteMaxToken": 2000, // 引用知识库的最大 Token
      "maxTemperature": 1, // 最大温度
+      "vision": false, // 是否开启图片识别
      "defaultSystemChatPrompt": "" // 默认的系统提示词
    }
    ...
--- a/docSite/content/docs/installation/upgrading/421.md
+++ b/docSite/content/docs/installation/upgrading/421.md
@@ -7,7 +7,7 @@ toc: true
 weight: 847
 ---

-私有部署，如果添加了配置文件，需要在配置文件中修改 `VectorModels` 字段。增加 defaultToken 和 maxToken，分别对应直接分段时的默认 token 数量和该模型支持的 token 上限（通常不建议超过 3000）
+私有部署，如果添加了配置文件，需要在配置文件中修改 `VectorModels` 字段。增加 defaultToken 和 maxToken，分别对应直接分段时的默认 token 数量和该模型支持的 token 上限 (通常不建议超过 3000)

 ```json
 "VectorModels": [
--- a/docSite/content/docs/installation/upgrading/43.md
+++ b/docSite/content/docs/installation/upgrading/43.md
@@ -1,5 +1,5 @@
 ---
-title: '升级到 V4.3'
+title: '升级到 V4.3(需要初始化)'
 description: 'FastGPT 从旧版本升级到 V4.3 操作指南'
 icon: 'upgrade'
 draft: false
@@ -9,7 +9,7 @@ weight: 846

 ## 执行初始化 API

-发起 1 个 HTTP 请求（记得携带 `headers.rootkey`，这个值是环境变量里的）
+发起 1 个 HTTP 请求 (记得携带 `headers.rootkey`，这个值是环境变量里的)

 1. https://xxxxx/api/admin/initv43

--- a/docSite/content/docs/installation/upgrading/44.md
+++ b/docSite/content/docs/installation/upgrading/44.md
@@ -1,5 +1,5 @@
 ---
-title: '升级到 V4.4'
+title: '升级到 V4.4(需要初始化)'
 description: 'FastGPT 从旧版本升级到 V4.4 操作指南'
 icon: 'upgrade'
 draft: false
@@ -9,7 +9,7 @@ weight: 845

 ## 执行初始化 API

-发起 1 个 HTTP 请求（记得携带 `headers.rootkey`，这个值是环境变量里的）
+发起 1 个 HTTP 请求 (记得携带 `headers.rootkey`，这个值是环境变量里的)

 1. https://xxxxx/api/admin/initv44

--- a/docSite/content/docs/installation/upgrading/441.md
+++ b/docSite/content/docs/installation/upgrading/441.md
@@ -1,5 +1,5 @@
 ---
-title: '升级到 V4.4.1'
+title: '升级到 V4.4.1(需要初始化)'
 description: 'FastGPT 从旧版本升级到 V4.4.1 操作指南'
 icon: 'upgrade'
 draft: false
--- a/docSite/content/docs/installation/upgrading/442.md
+++ b/docSite/content/docs/installation/upgrading/442.md
@@ -1,5 +1,5 @@
 ---
-title: '升级到 V4.4.2'
+title: '升级到 V4.4.2(需要初始化)'
 description: 'FastGPT 从旧版本升级到 V4.4.2 操作指南'
 icon: 'upgrade'
 draft: false
@@ -9,7 +9,7 @@ weight: 843

 ## 执行初始化 API

-发起 1 个 HTTP 请求（记得携带 `headers.rootkey`，这个值是环境变量里的）
+发起 1 个 HTTP 请求 (记得携带 `headers.rootkey`，这个值是环境变量里的)

 1. https://xxxxx/api/admin/initv442

--- a/docSite/content/docs/installation/upgrading/445.md
+++ b/docSite/content/docs/installation/upgrading/445.md
@@ -1,6 +1,6 @@
 ---
-title: 'V4.4.5'
-description: 'FastGPT V4.4.5 更新（需执行升级脚本）'
+title: 'V4.4.5(需要初始化)'
+description: 'FastGPT V4.4.5 更新'
 icon: 'upgrade'
 draft: false
 toc: true
--- a/docSite/content/docs/installation/upgrading/46.md
+++ b/docSite/content/docs/installation/upgrading/46.md
@@ -9,18 +9,18 @@ weight: 836

 **V4.6 版本加入了简单的团队功能，可以邀请其他用户进来管理资源。该版本升级后无法执行旧的升级脚本，且无法回退。**

-## 1. 更新镜像并变更配置文件
+## 1。更新镜像并变更配置文件

 更新镜像至 latest 或者 v4.6 版本。商业版镜像更新至 V0.2.1

-最新配置可参考: [V46版本最新 config.json](/docs/development/configuration)，商业镜像配置文件也更新，参考最新的飞书文档。
+最新配置可参考：[V46 版本最新 config.json](/docs/development/configuration)，商业镜像配置文件也更新，参考最新的飞书文档。


-## 2. 执行初始化 API
+## 2。执行初始化 API

-发起 2 个 HTTP 请求（{{rootkey}} 替换成环境变量里的`rootkey`，{{host}}替换成自己域名）
+发起 2 个 HTTP 请求 ({{rootkey}} 替换成环境变量里的 `rootkey`，{{host}} 替换成自己域名)

-**该初始化接口可能速度很慢，返回超时不用管，注意看日志即可，需要注意的是，需确保initv46成功后，在执行initv46-2**
+**该初始化接口可能速度很慢，返回超时不用管，注意看日志即可，需要注意的是，需确保 initv46 成功后，在执行 initv46-2**

 1. https://xxxxx/api/admin/initv46

@@ -39,22 +39,22 @@ curl --location --request POST 'https://{{host}}/api/admin/initv46-2' \
 ```

 初始化内容：
-1. 创建默认团队
-2. 初始化 Mongo 所有资源的团队字段
-3. 初始化 Pg 的字段
-4. 初始化 Mongo Data
+1。创建默认团队
+2。初始化 Mongo 所有资源的团队字段
+3。初始化 Pg 的字段
+4。初始化 Mongo Data


-## V4.6功能介绍
+## V4.6 功能介绍

 1. 新增 - 团队空间
-2. 新增 - 多路向量（多个向量映射一组数据）
-3. 新增 - tts语音
+2. 新增 - 多路向量 (多个向量映射一组数据)
+3. 新增 - tts 语音
 4. 新增 - 支持知识库配置文本预处理模型
-5. 线上环境新增 - ReRank向量召回，提高召回精度
+5. 线上环境新增 - ReRank 向量召回，提高召回精度
 6. 优化 - 知识库导出，可直接触发流下载，无需等待转圈圈

-## 4.6缺陷修复
+## 4.6 缺陷修复

 旧的 4.6 版本由于缺少一个字段，导致文件导入时知识库数据无法显示，可执行下面的脚本：

--- a/docSite/content/docs/installation/upgrading/462.md
+++ b/docSite/content/docs/installation/upgrading/462.md
@@ -0,0 +1,31 @@
+---
+title: 'V4.6.2(需要初始化)'
+description: 'FastGPT V4.6.2'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 834
+---
+
+## 1。执行初始化 API
+
+发起 1 个 HTTP 请求 ({{rootkey}} 替换成环境变量里的 `rootkey`，{{host}} 替换成自己域名)
+
+1. https://xxxxx/api/admin/initv462
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/initv462' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+初始化说明：
+1. 初始化全文索引
+
+## V4.6.2 功能介绍
+
+1. 新增 - 全文索引（需配合 Rerank 模型，在看怎么放到开源版，模型接口比较特殊）
+2. 新增 - 插件来源（预计4.7/4.8版本会正式使用）
+3. 优化 - PDF读取
+4. 优化 - docx文件读取，转成 markdown 并保留其图片内容
+5. 修复和优化 TextSplitter 函数
--- a/docSite/content/docs/use-cases/wechat.md
+++ b/docSite/content/docs/use-cases/wechat.md
@@ -39,10 +39,12 @@ weight: 322
 ![](/imgs/wechat5.png)

 这里需要填写四个环境变量：   
-AIBOTK_KEY="微秘书 APIKEY"   
-AIBOTK_SECRET="微秘书 APISECRET"   
-WORK_PRO_TOKEN="你申请的企微 token"   （企业微信需要填写，私人微信不需要）
+```
+AIBOTK_KEY=微秘书 APIKEY   
+AIBOTK_SECRET=微秘书 APISECRET   
+WORK_PRO_TOKEN=你申请的企微 token   （企业微信需要填写，私人微信不需要）
 WECHATY_PUPPET_SERVICE_AUTHORITY=token-service-discovery-test.juzibot.com（企业微信需要填写，私人微信不需要）  
+```

 这里最后两个变量只有部署企业微信才需要，私人微信只需要填写前两个即可。

--- a/packages/global/common/string/textSplitter.ts
+++ b/packages/global/common/string/textSplitter.ts
@@ -3,121 +3,184 @@ import { countPromptTokens } from './tiktoken';

 /**
 * text split into chunks
- * maxLen - one chunk len. max: 3500
+ * chunkLen - one chunk len. max: 3500
 * overlapLen - The size of the before and after Text
- * maxLen > overlapLen
+ * chunkLen > overlapLen
 * markdown
 */
-export const splitText2Chunks = (props: { text: string; maxLen: number; overlapLen?: number }) => {
-  const { text = '', maxLen, overlapLen = Math.floor(maxLen * 0.2) } = props;
-  const tempMarker = 'SPLIT_HERE_SPLIT_HERE';
+export const splitText2Chunks = (props: {
+  text: string;
+  chunkLen: number;
+  overlapRatio?: number;
+}): {
+  chunks: string[];
+  tokens: number;
+} => {
+  const { text = '', chunkLen, overlapRatio = 0.2 } = props;
+  const splitMarker = 'SPLIT_HERE_SPLIT_HERE';
+  const overlapLen = Math.round(chunkLen * overlapRatio);

-  const stepReg: Record<number, RegExp> = {
-    0: /^(#\s[^\n]+)\n/gm,
-    1: /^(##\s[^\n]+)\n/gm,
-    2: /^(###\s[^\n]+)\n/gm,
-    3: /^(####\s[^\n]+)\n/gm,
+  // The larger maxLen is, the next sentence is less likely to trigger splitting
+  const stepReges: { reg: RegExp; maxLen: number }[] = [
+    { reg: /^(#\s[^\n]+)\n/gm, maxLen: chunkLen * 1.4 },
+    { reg: /^(##\s[^\n]+)\n/gm, maxLen: chunkLen * 1.4 },
+    { reg: /^(###\s[^\n]+)\n/gm, maxLen: chunkLen * 1.4 },
+    { reg: /^(####\s[^\n]+)\n/gm, maxLen: chunkLen * 1.4 },

-    4: /(\n\n)/g,
-    5: /([\n])/g,
-    6: /[。]|(?!<[^a-zA-Z])\.\s/g,
-    7: /([！？]|!\s|\?\s)/g,
-    8: /([；]|;\s)/g,
-    9: /([，]|,\s)/g
+    { reg: /([\n]{2})/g, maxLen: chunkLen * 1.4 },
+    { reg: /([\n](?![\*\-|>`0-9]))/g, maxLen: chunkLen * 1.8 }, // (?![\*\-|>`0-9]): markdown special char
+    { reg: /([\n])/g, maxLen: chunkLen * 1.4 },
+
+    { reg: /([。]|([a-zA-Z])\.\s)/g, maxLen: chunkLen * 1.4 },
+    { reg: /([！]|!\s)/g, maxLen: chunkLen * 1.4 },
+    { reg: /([？]|\?\s)/g, maxLen: chunkLen * 1.6 },
+    { reg: /([；]|;\s)/g, maxLen: chunkLen * 1.8 },
+    { reg: /([，]|,\s)/g, maxLen: chunkLen * 2 }
+  ];
+
+  const getSplitTexts = ({ text, step }: { text: string; step: number }) => {
+    if (step >= stepReges.length) {
+      return [text];
+    }
+    const isMarkdownSplit = step <= 3;
+    const { reg } = stepReges[step];
+
+    const splitTexts = text
+      .replace(reg, isMarkdownSplit ? `${splitMarker}$1` : `$1${splitMarker}`)
+      .split(`${splitMarker}`)
+      .filter((part) => part.trim());
+    return splitTexts;
+  };
+
+  const getOneTextOverlapText = ({ text, step }: { text: string; step: number }): string => {
+    const forbidOverlap = step <= 6;
+    const maxOverlapLen = chunkLen * 0.4;
+
+    // step >= stepReges.length: Do not overlap incomplete sentences
+    if (forbidOverlap || overlapLen === 0 || step >= stepReges.length) return '';
+
+    const splitTexts = getSplitTexts({ text, step });
+    let overlayText = '';
+
+    for (let i = splitTexts.length - 1; i >= 0; i--) {
+      const currentText = splitTexts[i];
+      const newText = currentText + overlayText;
+      const newTextLen = newText.length;
+
+      if (newTextLen > overlapLen) {
+        if (newTextLen > maxOverlapLen) {
+          const text = getOneTextOverlapText({ text: newText, step: step + 1 });
+          return text || overlayText;
+        }
+        return newText;
+      }
+
+      overlayText = newText;
+    }
+    return overlayText;
  };

  const splitTextRecursively = ({
    text = '',
    step,
-    lastChunk,
-    overlayChunk
+    lastText
  }: {
    text: string;
    step: number;
-    lastChunk: string;
-    overlayChunk: string;
-  }) => {
-    if (text.length <= maxLen) {
+    lastText: string;
+  }): string[] => {
+    // mini text
+    if (text.length <= chunkLen) {
      return [text];
    }
-    const reg = stepReg[step];
-    const isMarkdownSplit = step < 4;

-    if (!reg) {
-      // use slice-maxLen to split text
+    // oversize
+    if (step >= stepReges.length) {
+      if (text.length < chunkLen * 3) {
+        return [text];
+      }
+      // use slice-chunkLen to split text
      const chunks: string[] = [];
-      let chunk = '';
-      for (let i = 0; i < text.length; i += maxLen - overlapLen) {
-        chunk = text.slice(i, i + maxLen);
-        chunks.push(chunk);
+      for (let i = 0; i < text.length; i += chunkLen - overlapLen) {
+        chunks.push(text.slice(i, i + chunkLen));
      }
      return chunks;
    }

+    const { maxLen } = stepReges[step];
+    const minChunkLen = chunkLen * 0.7;
+
    // split text by special char
-    const splitTexts = text
-      .replace(reg, isMarkdownSplit ? `${tempMarker}$1` : `$1${tempMarker}`)
-      .split(`${tempMarker}`)
-      .filter((part) => part);
+    const splitTexts = getSplitTexts({ text, step });

-    let chunks: string[] = [];
+    const chunks: string[] = [];
    for (let i = 0; i < splitTexts.length; i++) {
-      let text = splitTexts[i];
-      let chunkToken = lastChunk.length;
-      const textToken = text.length;
+      const currentText = splitTexts[i];
+      const currentTextLen = currentText.length;
+      const lastTextLen = lastText.length;
+      const newText = lastText + currentText;
+      const newTextLen = lastTextLen + currentTextLen;

-      // next chunk is too large / new chunk is too large(The current chunk must be smaller than maxLen)
-      if (textToken >= maxLen || chunkToken + textToken > maxLen * 1.4) {
-        // last chunk is too large, push it to chunks, not add to next chunk
-        if (chunkToken > maxLen * 0.7) {
-          chunks.push(lastChunk);
-          lastChunk = '';
-          overlayChunk = '';
+      // newText is too large(now, The lastText must be smaller than chunkLen)
+      if (newTextLen > maxLen) {
+        // lastText greater minChunkLen, direct push it to chunks, not add to next chunk. (large lastText)
+        if (lastTextLen > minChunkLen) {
+          chunks.push(lastText);
+          lastText = getOneTextOverlapText({ text: lastText, step }); // next chunk will start with overlayText
+          i--;
+          continue;
        }
-        // chunk is small, insert to next chunks
+
+        // split new Text, split chunks must will greater 1 (small lastText)
        const innerChunks = splitTextRecursively({
-          text,
+          text: newText,
          step: step + 1,
-          lastChunk,
-          overlayChunk
+          lastText: ''
        });
-        if (innerChunks.length === 0) continue;
-        chunks = chunks.concat(innerChunks);
-        lastChunk = '';
-        overlayChunk = '';
+        const lastChunk = innerChunks[innerChunks.length - 1];
+        // last chunk is too small, concat it to lastText
+        if (lastChunk.length < minChunkLen) {
+          chunks.push(...innerChunks.slice(0, -1));
+          lastText = lastChunk;
+        } else {
+          chunks.push(...innerChunks);
+          // compute new overlapText
+          lastText = getOneTextOverlapText({
+            text: lastChunk,
+            step
+          });
+        }
        continue;
      }

-      // size less than maxLen, push text to last chunk
-      lastChunk += text;
-      chunkToken += textToken; // Definitely less than 1.4 * maxLen
+      // size less than chunkLen, push text to last chunk. now, text definitely less than maxLen
+      lastText = newText;

-      // size over lapLen, push it to next chunk
-      if (
-        overlapLen !== 0 &&
-        !isMarkdownSplit &&
-        chunkToken >= maxLen - overlapLen &&
-        textToken < overlapLen
-      ) {
-        overlayChunk += text;
-      }
-      if (chunkToken >= maxLen) {
-        chunks.push(lastChunk);
-        lastChunk = overlayChunk;
-        overlayChunk = '';
+      // If the chunk size reaches, add a chunk
+      if (newTextLen >= chunkLen) {
+        chunks.push(lastText);
+        lastText = getOneTextOverlapText({ text: lastText, step });
      }
    }

    /* If the last chunk is independent, it needs to be push chunks. */
-    if (lastChunk && chunks[chunks.length - 1] && !chunks[chunks.length - 1].endsWith(lastChunk)) {
-      chunks.push(lastChunk);
+    if (lastText && chunks[chunks.length - 1] && !chunks[chunks.length - 1].endsWith(lastText)) {
+      if (lastText.length < chunkLen * 0.4) {
+        chunks[chunks.length - 1] = chunks[chunks.length - 1] + lastText;
+      } else {
+        chunks.push(lastText);
+      }
    }

    return chunks;
  };

  try {
-    const chunks = splitTextRecursively({ text, step: 0, lastChunk: '', overlayChunk: '' });
+    const chunks = splitTextRecursively({
+      text,
+      step: 0,
+      lastText: ''
+    });

    const tokens = chunks.reduce((sum, chunk) => sum + countPromptTokens(chunk, 'system'), 0);

--- a/packages/global/common/string/tools.ts
+++ b/packages/global/common/string/tools.ts
@@ -13,7 +13,8 @@ export const hashStr = (str: string) => {
 };

 /* simple text, remove chinese space and extra \n */
-export const simpleText = (text: string) => {
+export const simpleText = (text = '') => {
+  text = text.trim();
  text = text.replace(/([\u4e00-\u9fa5])[\s&&[^\n]]+([\u4e00-\u9fa5])/g, '$1$2');
  text = text.replace(/\r\n|\r/g, '\n');
  text = text.replace(/\n{3,}/g, '\n\n');
--- a/packages/global/common/system/types/index.d.ts
+++ b/packages/global/common/system/types/index.d.ts
@@ -4,7 +4,6 @@ export type FeConfigsType = {
  show_appStore?: boolean;
  show_contact?: boolean;
  show_git?: boolean;
-  show_doc?: boolean;
  show_pay?: boolean;
  show_openai_account?: boolean;
  show_promotion?: boolean;
--- a/packages/global/core/ai/model.d.ts
+++ b/packages/global/core/ai/model.d.ts
@@ -30,8 +30,6 @@ export type AudioSpeechModelType = {
  model: string;
  name: string;
  price: number;
-  baseUrl?: string;
-  key?: string;
  voices: { label: string; value: string; bufferId: string }[];
 };

--- a/packages/global/core/app/api.d.ts
+++ b/packages/global/core/app/api.d.ts
@@ -1,5 +1,6 @@
+import type { ChatModelItemType } from '../ai/model.d';
 import { AppTypeEnum } from './constants';
-import { AppSchema } from './type';
+import { AppSchema, AppSimpleEditFormType } from './type';

 export type CreateAppParams = {
  name?: string;
@@ -11,8 +12,15 @@ export type CreateAppParams = {
 export interface AppUpdateParams {
  name?: string;
  type?: `${AppTypeEnum}`;
+  simpleTemplateId?: string;
  avatar?: string;
  intro?: string;
  modules?: AppSchema['modules'];
  permission?: AppSchema['permission'];
 }
+
+export type FormatForm2ModulesProps = {
+  formData: AppSimpleEditFormType;
+  chatModelMaxToken: number;
+  chatModelList: ChatModelItemType[];
+};
--- a/packages/global/core/app/constants.ts
+++ b/packages/global/core/app/constants.ts
@@ -1,4 +1,12 @@
 export enum AppTypeEnum {
-  basic = 'basic',
+  simple = 'simple',
  advanced = 'advanced'
 }
+export const AppTypeMap = {
+  [AppTypeEnum.simple]: {
+    label: 'simple'
+  },
+  [AppTypeEnum.advanced]: {
+    label: 'advanced'
+  }
+};
--- a/packages/global/core/app/type.d.ts
+++ b/packages/global/core/app/type.d.ts
@@ -1,6 +1,9 @@
-import { ModuleItemType } from '../module/type';
+import type { AppTTSConfigType, ModuleItemType, VariableItemType } from '../module/type.d';
 import { AppTypeEnum } from './constants';
 import { PermissionTypeEnum } from '../../support/permission/constant';
+import type { AIChatModuleProps, DatasetModuleProps } from '../module/node/type.d';
+import { VariableInputEnum } from '../module/constants';
+import { SelectedDatasetType } from '../module/api';

 export interface AppSchema {
  _id: string;
@@ -9,6 +12,7 @@ export interface AppSchema {
  tmbId: string;
  name: string;
  type: `${AppTypeEnum}`;
+  simpleTemplateId: string;
  avatar: string;
  intro: string;
  updateTime: number;
@@ -29,3 +33,87 @@ export type AppDetailType = AppSchema & {
  isOwner: boolean;
  canWrite: boolean;
 };
+
+// export type AppSimpleEditFormType = {
+//   aiSettings: AIChatModuleProps;
+//   dataset: DatasetModuleProps & {
+//     searchEmptyText: string;
+//   };
+//   userGuide: {
+//     welcomeText: string;
+//     variables: VariableItemType[];
+//     questionGuide: boolean;
+//     tts: AppTTSConfigType;
+//   };
+// };
+// Since useform cannot infer enumeration types, all enumeration keys can only be undone manually
+export type AppSimpleEditFormType = {
+  templateId: string;
+  aiSettings: {
+    model: string;
+    systemPrompt?: string | undefined;
+    temperature: number;
+    maxToken: number;
+    isResponseAnswerText: boolean;
+    quoteTemplate?: string | undefined;
+    quotePrompt?: string | undefined;
+  };
+  dataset: {
+    datasets: SelectedDatasetType;
+    similarity: number;
+    limit: number;
+    rerank: boolean;
+    searchEmptyText: string;
+  };
+  userGuide: {
+    welcomeText: string;
+    variables: {
+      id: string;
+      key: string;
+      label: string;
+      type: `${VariableInputEnum}`;
+      required: boolean;
+      maxLen: number;
+      enums: {
+        value: string;
+      }[];
+    }[];
+    questionGuide: boolean;
+    tts: {
+      type: 'none' | 'web' | 'model';
+      model?: string | undefined;
+      voice?: string | undefined;
+      speed?: number | undefined;
+    };
+  };
+};
+
+/* simple mode template*/
+export type AppSimpleEditConfigTemplateType = {
+  id: string;
+  name: string;
+  desc: string;
+  systemForm: {
+    aiSettings?: {
+      model?: boolean;
+      systemPrompt?: boolean;
+      temperature?: boolean;
+      maxToken?: boolean;
+      quoteTemplate?: boolean;
+      quotePrompt?: boolean;
+    };
+    dataset?: {
+      datasets?: boolean;
+      similarity?: boolean;
+      limit?: boolean;
+      rerank?: boolean;
+      searchEmptyText?: boolean;
+    };
+    userGuide?: {
+      welcomeText?: boolean;
+      variables?: boolean;
+      questionGuide?: boolean;
+      tts?: boolean;
+    };
+  };
+};
--- a/packages/global/core/app/utils.ts
+++ b/packages/global/core/app/utils.ts
@@ -0,0 +1,123 @@
+import type { AppSimpleEditFormType } from '../app/type';
+import { FlowNodeTypeEnum } from '../module/node/constant';
+import { ModuleOutputKeyEnum, ModuleInputKeyEnum } from '../module/constants';
+import type { FlowNodeInputItemType } from '../module/node/type.d';
+import { getGuideModule, splitGuideModule } from '../module/utils';
+import { defaultChatModels } from '../ai/model';
+import { ModuleItemType } from '../module/type.d';
+
+export const getDefaultAppForm = (templateId = 'fastgpt-universal'): AppSimpleEditFormType => {
+  const defaultChatModel = defaultChatModels[0];
+
+  return {
+    templateId,
+    aiSettings: {
+      model: defaultChatModel?.model,
+      systemPrompt: '',
+      temperature: 0,
+      isResponseAnswerText: true,
+      quotePrompt: '',
+      quoteTemplate: '',
+      maxToken: defaultChatModel ? defaultChatModel.maxResponse / 2 : 4000
+    },
+    dataset: {
+      datasets: [],
+      similarity: 0.4,
+      limit: 5,
+      searchEmptyText: '',
+      rerank: false
+    },
+    userGuide: {
+      welcomeText: '',
+      variables: [],
+      questionGuide: false,
+      tts: {
+        type: 'web'
+      }
+    }
+  };
+};
+
+/* format app modules to edit form */
+export const appModules2Form = ({
+  templateId,
+  modules
+}: {
+  modules: ModuleItemType[];
+  templateId: string;
+}) => {
+  const defaultAppForm = getDefaultAppForm(templateId);
+
+  const findInputValueByKey = (inputs: FlowNodeInputItemType[], key: string) => {
+    return inputs.find((item) => item.key === key)?.value;
+  };
+
+  modules.forEach((module) => {
+    if (module.flowType === FlowNodeTypeEnum.chatNode) {
+      defaultAppForm.aiSettings.model = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.aiModel
+      );
+      defaultAppForm.aiSettings.systemPrompt = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.aiSystemPrompt
+      );
+      defaultAppForm.aiSettings.temperature = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.aiChatTemperature
+      );
+      defaultAppForm.aiSettings.maxToken = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.aiChatMaxToken
+      );
+      defaultAppForm.aiSettings.quoteTemplate = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.aiChatQuoteTemplate
+      );
+      defaultAppForm.aiSettings.quotePrompt = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.aiChatQuoteTemplate
+      );
+    } else if (module.flowType === FlowNodeTypeEnum.datasetSearchNode) {
+      defaultAppForm.dataset.datasets = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.datasetSelectList
+      );
+      defaultAppForm.dataset.similarity = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.datasetSimilarity
+      );
+      defaultAppForm.dataset.limit = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.datasetLimit
+      );
+      defaultAppForm.dataset.rerank = findInputValueByKey(
+        module.inputs,
+        ModuleInputKeyEnum.datasetStartReRank
+      );
+
+      // empty text
+      const emptyOutputs =
+        module.outputs.find((item) => item.key === ModuleOutputKeyEnum.datasetIsEmpty)?.targets ||
+        [];
+      const emptyOutput = emptyOutputs[0];
+      if (emptyOutput) {
+        const target = modules.find((item) => item.moduleId === emptyOutput.moduleId);
+        defaultAppForm.dataset.searchEmptyText =
+          target?.inputs?.find((item) => item.key === ModuleInputKeyEnum.answerText)?.value || '';
+      }
+    } else if (module.flowType === FlowNodeTypeEnum.userGuide) {
+      const { welcomeText, variableModules, questionGuide, ttsConfig } = splitGuideModule(
+        getGuideModule(modules)
+      );
+      defaultAppForm.userGuide = {
+        welcomeText: welcomeText,
+        variables: variableModules,
+        questionGuide: questionGuide,
+        tts: ttsConfig
+      };
+    }
+  });
+
+  return defaultAppForm;
+};
--- a/packages/global/core/chat/api.d.ts
+++ b/packages/global/core/chat/api.d.ts
@@ -30,5 +30,4 @@ export type InitChatResponse = {
 export type ChatHistoryItemResType = moduleDispatchResType & {
  moduleType: `${FlowNodeTypeEnum}`;
  moduleName: string;
-  moduleLogo?: string;
 };
--- a/packages/global/core/chat/constants.ts
+++ b/packages/global/core/chat/constants.ts
@@ -6,12 +6,6 @@ export enum ChatRoleEnum {
  Tool = 'Tool'
 }

-export enum TaskResponseKeyEnum {
-  'answerText' = 'answerText', //  answer module text key
-  'responseData' = 'responseData',
-  'history' = 'history'
-}
-
 export const ChatRoleMap = {
  [ChatRoleEnum.System]: {
    name: '系统提示词'
--- a/packages/global/core/chat/type.d.ts
+++ b/packages/global/core/chat/type.d.ts
@@ -1,8 +1,9 @@
 import { ClassifyQuestionAgentItemType } from '../module/type';
 import { SearchDataResponseItemType } from '../dataset/type';
-import { ChatRoleEnum, ChatSourceEnum, TaskResponseKeyEnum } from './constants';
+import { ChatRoleEnum, ChatSourceEnum } from './constants';
 import { FlowNodeTypeEnum } from '../module/node/constant';
-import { AppSchema } from 'core/app/type';
+import { ModuleOutputKeyEnum } from '../module/constants';
+import { AppSchema } from '../app/type';

 export type ChatSchema = {
  _id: string;
@@ -38,7 +39,7 @@ export type ChatItemSchema = {
  value: string;
  userFeedback?: string;
  adminFeedback?: AdminFbkType;
-  [TaskResponseKeyEnum.responseData]?: ChatHistoryItemResType[];
+  [ModuleOutputKeyEnum.responseData]?: ChatHistoryItemResType[];
 };

 export type AdminFbkType = {
@@ -55,14 +56,14 @@ export type ChatItemType = {
  value: any;
  userFeedback?: string;
  adminFeedback?: ChatItemSchema['feedback'];
-  [TaskResponseKeyEnum.responseData]?: ChatItemSchema[TaskResponseKeyEnum.responseData];
+  [ModuleOutputKeyEnum.responseData]?: ChatHistoryItemResType[];
 };

-export type ChatSiteItemType = {
+export type ChatSiteItemType = ChatItemType & {
  status: 'loading' | 'running' | 'finish';
  moduleName?: string;
  ttsBuffer?: Uint8Array;
-} & ChatItemType;
+};

 export type HistoryItemType = {
  chatId: string;
@@ -77,13 +78,14 @@ export type ChatHistoryItemType = HistoryItemType & {

 // response data
 export type moduleDispatchResType = {
+  moduleLogo?: string;
  price: number;
  runningTime?: number;
  tokens?: number;
  model?: string;
+  query?: string;

  // chat
-  question?: string;
  temperature?: number;
  maxToken?: number;
  quoteList?: SearchDataResponseItemType[];
--- a/packages/global/core/dataset/type.d.ts
+++ b/packages/global/core/dataset/type.d.ts
@@ -59,6 +59,7 @@ export type DatasetDataSchemaType = {
  collectionId: string;
  q: string; // large chunks or question
  a: string; // answer or custom content
+  fullTextToken: string;
  indexes: DatasetDataIndexItemType[];
 };

@@ -83,6 +84,9 @@ export type DatasetTrainingSchemaType = {
 export type CollectionWithDatasetType = Omit<DatasetCollectionSchemaType, 'datasetId'> & {
  datasetId: DatasetSchemaType;
 };
+export type DatasetDataWithCollectionType = Omit<DatasetDataSchemaType, 'collectionId'> & {
+  collectionId: DatasetCollectionSchemaType;
+};

 /* ================= dataset ===================== */
 export type DatasetItemType = Omit<DatasetSchemaType, 'vectorModel' | 'agentModel'> & {
@@ -130,6 +134,6 @@ export type DatasetFileSchema = {
 };

 /* ============= search =============== */
-export type SearchDataResponseItemType = DatasetDataItemType & {
+export type SearchDataResponseItemType = Omit<DatasetDataItemType, 'isOwner' | 'canWrite'> & {
  score: number;
 };
--- a/packages/global/core/module/constants.ts
+++ b/packages/global/core/module/constants.ts
@@ -0,0 +1,102 @@
+export enum ModuleTemplateTypeEnum {
+  userGuide = 'userGuide',
+  systemInput = 'systemInput',
+  textAnswer = 'textAnswer',
+  dataset = 'dataset',
+  functionCall = 'functionCall',
+  externalCall = 'externalCall',
+
+  personalPlugin = 'personalPlugin',
+  communityPlugin = 'communityPlugin',
+  commercialPlugin = 'commercialPlugin',
+
+  other = 'other'
+}
+
+export enum ModuleDataTypeEnum {
+  string = 'string',
+  number = 'number',
+  boolean = 'boolean',
+  chatHistory = 'chatHistory',
+  datasetQuote = 'datasetQuote',
+  any = 'any',
+
+  // plugin special type
+  selectApp = 'selectApp',
+  selectDataset = 'selectDataset'
+}
+
+/* reg: modulename key */
+export enum ModuleInputKeyEnum {
+  // old
+  welcomeText = 'welcomeText',
+  variables = 'variables',
+  switch = 'switch', // a trigger switch
+  history = 'history',
+  userChatInput = 'userChatInput',
+  questionGuide = 'questionGuide',
+  tts = 'tts',
+  answerText = 'text',
+  agents = 'agents', // cq agent key
+
+  // latest
+  // common
+  aiModel = 'model',
+  aiSystemPrompt = 'systemPrompt',
+  description = 'description',
+
+  // history
+  historyMaxAmount = 'maxContext',
+
+  // ai chat
+  aiChatTemperature = 'temperature',
+  aiChatMaxToken = 'maxToken',
+  aiChatSettingModal = 'aiSettings',
+  aiChatIsResponseText = 'isResponseAnswerText',
+  aiChatQuoteTemplate = 'quoteTemplate',
+  aiChatQuotePrompt = 'quotePrompt',
+  aiChatDatasetQuote = 'quoteQA',
+
+  // dataset
+  datasetSelectList = 'datasets',
+  datasetSimilarity = 'similarity',
+  datasetLimit = 'limit',
+  datasetStartReRank = 'rerank',
+
+  // context extract
+  contextExtractInput = 'content',
+  extractKeys = 'extractKeys',
+
+  // http
+  httpUrl = 'url',
+
+  // app
+  runAppSelectApp = 'app',
+
+  // plugin
+  pluginId = 'pluginId'
+}
+
+export enum ModuleOutputKeyEnum {
+  // common
+  userChatInput = 'userChatInput',
+  finish = 'finish',
+  responseData = 'responseData',
+  history = 'history',
+  answerText = 'answerText', //  answer module text key
+  success = 'success',
+  failed = 'failed',
+
+  // dataset
+  datasetIsEmpty = 'isEmpty',
+  datasetUnEmpty = 'unEmpty',
+  datasetQuoteQA = 'quoteQA',
+
+  // context extract
+  contextExtractFields = 'fields'
+}
+
+export enum VariableInputEnum {
+  input = 'input',
+  select = 'select'
+}
--- a/packages/global/core/module/node/constant.ts
+++ b/packages/global/core/module/node/constant.ts
@@ -1,5 +1,6 @@
 export enum FlowNodeInputTypeEnum {
  systemInput = 'systemInput', // history, userChatInput, variableInput
+
  input = 'input', // one line input
  textarea = 'textarea',
  numberInput = 'numberInput',
@@ -8,11 +9,10 @@ export enum FlowNodeInputTypeEnum {
  custom = 'custom',
  target = 'target', // data input
  switch = 'switch',
-  chatInput = 'chatInput',
  selectApp = 'selectApp',
  // chat special input
  aiSettings = 'aiSettings',
-  maxToken = 'maxToken',
+  // maxToken = 'maxToken',
  selectChatModel = 'selectChatModel',
  // dataset special input
  selectDataset = 'selectDataset',
@@ -27,7 +27,6 @@ export enum FlowNodeOutputTypeEnum {

 export enum FlowNodeTypeEnum {
  empty = 'empty',
-  variable = 'variable',
  userGuide = 'userGuide',
  questionInput = 'questionInput',
  historyNode = 'historyNode',
@@ -40,20 +39,8 @@ export enum FlowNodeTypeEnum {
  runApp = 'app',
  pluginModule = 'pluginModule',
  pluginInput = 'pluginInput',
-  pluginOutput = 'pluginOutput'
-}
+  pluginOutput = 'pluginOutput',

-export enum FlowNodeSpecialInputKeyEnum {
-  'answerText' = 'text',
-  'agents' = 'agents', // cq agent key
-  'pluginId' = 'pluginId'
-}
-
-export enum FlowNodeValTypeEnum {
-  'string' = 'string',
-  'number' = 'number',
-  'boolean' = 'boolean',
-  'chatHistory' = 'chatHistory',
-  'datasetQuote' = 'datasetQuote',
-  'any' = 'any'
+  // abandon
+  variable = 'variable'
 }
--- a/packages/global/core/module/node/type.d.ts
+++ b/packages/global/core/module/node/type.d.ts
@@ -1,9 +1,6 @@
-import {
-  FlowNodeInputTypeEnum,
-  FlowNodeOutputTypeEnum,
-  FlowNodeValTypeEnum,
-  FlowNodeTypeEnum
-} from './constant';
+import { FlowNodeInputTypeEnum, FlowNodeOutputTypeEnum, FlowNodeTypeEnum } from './constant';
+import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleOutputKeyEnum } from '../constants';
+import { SelectedDatasetType } from '../api';

 export type FlowNodeChangeProps = {
  moduleId: string;
@@ -23,24 +20,27 @@ export type FlowNodeChangeProps = {
 };

 export type FlowNodeInputItemType = {
-  key: string; // 字段名
+  key: `${ModuleInputKeyEnum}` | string;
+  type: `${FlowNodeInputTypeEnum}`; // Decide on a render style
  value?: any;
-  valueType?: `${FlowNodeValTypeEnum}`;
-  type: `${FlowNodeInputTypeEnum}`;
+  valueType?: `${ModuleDataTypeEnum}`; // data type
  label: string;
-  edit?: boolean;
-  connected?: boolean;
  description?: string;
-  placeholder?: string;
-  plusField?: boolean;
+  required?: boolean;
+  edit?: boolean; // Whether to allow editing
+  connected?: boolean; // unConnected field will be deleted
+
+  showTargetInApp?: boolean;
+  showTargetInPlugin?: boolean;
+
+  placeholder?: string; // input,textarea
+  list?: { label: string; value: any }[]; // select
+  step?: number; // slider max?: number;
  max?: number;
  min?: number;
-  step?: number;
-  required?: boolean;
-  list?: { label: string; value: any }[];
-  markList?: { label: string; value: any }[];
-  customData?: () => any;
-  valueCheck?: (value: any) => boolean;
+  markList?: { label: string; value: any }[]; // slider
+
+  plusField?: boolean; // plus system will show
 };

 export type FlowNodeOutputTargetItemType = {
@@ -48,11 +48,30 @@ export type FlowNodeOutputTargetItemType = {
  key: string;
 };
 export type FlowNodeOutputItemType = {
-  key: string; // 字段名
+  key: `${ModuleOutputKeyEnum}` | string;
  label?: string;
  edit?: boolean;
  description?: string;
-  valueType?: `${FlowNodeValTypeEnum}`;
+  valueType?: `${ModuleDataTypeEnum}`;
  type?: `${FlowNodeOutputTypeEnum}`;
  targets: FlowNodeOutputTargetItemType[];
 };
+
+/* ------------- item type --------------- */
+/* ai chat modules props */
+export type AIChatModuleProps = {
+  [ModuleInputKeyEnum.aiModel]: string;
+  [ModuleInputKeyEnum.aiSystemPrompt]?: string;
+  [ModuleInputKeyEnum.aiChatTemperature]: number;
+  [ModuleInputKeyEnum.aiChatMaxToken]: number;
+  [ModuleInputKeyEnum.aiChatIsResponseText]: boolean;
+  [ModuleInputKeyEnum.aiChatQuoteTemplate]?: string;
+  [ModuleInputKeyEnum.aiChatQuotePrompt]?: string;
+};
+
+export type DatasetModuleProps = {
+  [ModuleInputKeyEnum.datasetSelectList]: SelectedDatasetType;
+  [ModuleInputKeyEnum.datasetSimilarity]: number;
+  [ModuleInputKeyEnum.datasetLimit]: number;
+  [ModuleInputKeyEnum.datasetStartReRank]: boolean;
+};
--- a/packages/global/core/module/template/input.ts
+++ b/packages/global/core/module/template/input.ts
@@ -0,0 +1,32 @@
+import type { FlowNodeInputItemType } from '../node/type.d';
+import { ModuleInputKeyEnum } from '../constants';
+import { FlowNodeInputTypeEnum } from '../node/constant';
+import { ModuleDataTypeEnum } from '../constants';
+
+export const Input_Template_TFSwitch: FlowNodeInputItemType = {
+  key: ModuleInputKeyEnum.switch,
+  type: FlowNodeInputTypeEnum.target,
+  label: 'core.module.input.label.switch',
+  valueType: ModuleDataTypeEnum.any,
+  showTargetInApp: true,
+  showTargetInPlugin: true
+};
+
+export const Input_Template_History: FlowNodeInputItemType = {
+  key: ModuleInputKeyEnum.history,
+  type: FlowNodeInputTypeEnum.target,
+  label: 'core.module.input.label.chat history',
+  valueType: ModuleDataTypeEnum.chatHistory,
+  showTargetInApp: true,
+  showTargetInPlugin: true
+};
+
+export const Input_Template_UserChatInput: FlowNodeInputItemType = {
+  key: ModuleInputKeyEnum.userChatInput,
+  type: FlowNodeInputTypeEnum.target,
+  label: 'core.module.input.label.user question',
+  required: true,
+  valueType: ModuleDataTypeEnum.string,
+  showTargetInApp: true,
+  showTargetInPlugin: true
+};
--- a/packages/global/core/module/template/output.ts
+++ b/packages/global/core/module/template/output.ts
@@ -0,0 +1,13 @@
+import type { FlowNodeOutputItemType } from '../node/type';
+import { ModuleOutputKeyEnum } from '../constants';
+import { FlowNodeOutputTypeEnum } from '../node/constant';
+import { ModuleDataTypeEnum } from '../constants';
+
+export const Output_Template_Finish: FlowNodeOutputItemType = {
+  key: ModuleOutputKeyEnum.finish,
+  label: 'core.module.output.label.running done',
+  description: 'core.module.output.description.running done',
+  valueType: ModuleDataTypeEnum.boolean,
+  type: FlowNodeOutputTypeEnum.source,
+  targets: []
+};
--- a/packages/global/core/module/template/system/aiChat.ts
+++ b/packages/global/core/module/template/system/aiChat.ts
@@ -0,0 +1,157 @@
+import {
+  FlowNodeInputTypeEnum,
+  FlowNodeOutputTypeEnum,
+  FlowNodeTypeEnum
+} from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import {
+  ModuleDataTypeEnum,
+  ModuleInputKeyEnum,
+  ModuleOutputKeyEnum,
+  ModuleTemplateTypeEnum
+} from '../../constants';
+import {
+  Input_Template_History,
+  Input_Template_TFSwitch,
+  Input_Template_UserChatInput
+} from '../input';
+import { chatNodeSystemPromptTip } from '../tip';
+import { Output_Template_Finish } from '../output';
+
+export const AiChatModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.chatNode,
+  templateType: ModuleTemplateTypeEnum.textAnswer,
+  flowType: FlowNodeTypeEnum.chatNode,
+  avatar: '/imgs/module/AI.png',
+  name: 'AI 对话',
+  intro: 'AI 大模型对话',
+  showStatus: true,
+  inputs: [
+    Input_Template_TFSwitch,
+    {
+      key: ModuleInputKeyEnum.aiModel,
+      type: FlowNodeInputTypeEnum.selectChatModel,
+      label: '对话模型',
+      required: true,
+      valueType: ModuleDataTypeEnum.string,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    // --- settings modal
+    {
+      key: ModuleInputKeyEnum.aiChatTemperature,
+      type: FlowNodeInputTypeEnum.hidden, // Set in the pop-up window
+      label: '温度',
+      value: 0,
+      valueType: ModuleDataTypeEnum.number,
+      min: 0,
+      max: 10,
+      step: 1,
+      markList: [
+        { label: '严谨', value: 0 },
+        { label: '发散', value: 10 }
+      ],
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.aiChatMaxToken,
+      type: FlowNodeInputTypeEnum.hidden, // Set in the pop-up window
+      label: '回复上限',
+      value: 2000,
+      valueType: ModuleDataTypeEnum.number,
+      min: 100,
+      max: 4000,
+      step: 50,
+      markList: [
+        { label: '100', value: 100 },
+        {
+          label: `${4000}`,
+          value: 4000
+        }
+      ],
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.aiChatIsResponseText,
+      type: FlowNodeInputTypeEnum.hidden,
+      label: '返回AI内容',
+      value: true,
+      valueType: ModuleDataTypeEnum.boolean,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.aiChatQuoteTemplate,
+      type: FlowNodeInputTypeEnum.hidden,
+      label: '引用内容模板',
+      valueType: ModuleDataTypeEnum.string,
+      value: '',
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.aiChatQuotePrompt,
+      type: FlowNodeInputTypeEnum.hidden,
+      label: '引用内容提示词',
+      valueType: ModuleDataTypeEnum.string,
+      value: '',
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.aiChatSettingModal,
+      type: FlowNodeInputTypeEnum.aiSettings,
+      label: '',
+      connected: false,
+      valueType: ModuleDataTypeEnum.any,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    // settings modal ---
+    {
+      key: ModuleInputKeyEnum.aiSystemPrompt,
+      type: FlowNodeInputTypeEnum.textarea,
+      label: '系统提示词',
+      max: 300,
+      valueType: ModuleDataTypeEnum.string,
+      description: chatNodeSystemPromptTip,
+      placeholder: chatNodeSystemPromptTip,
+      value: '',
+      showTargetInApp: true,
+      showTargetInPlugin: true
+    },
+    {
+      key: ModuleInputKeyEnum.aiChatDatasetQuote,
+      type: FlowNodeInputTypeEnum.target,
+      label: '引用内容',
+      description: "对象数组格式，结构：\n [{q:'问题',a:'回答'}]",
+      valueType: ModuleDataTypeEnum.datasetQuote,
+      connected: false,
+      showTargetInApp: true,
+      showTargetInPlugin: true
+    },
+    Input_Template_History,
+    Input_Template_UserChatInput
+  ],
+  outputs: [
+    {
+      key: ModuleOutputKeyEnum.history,
+      label: '新的上下文',
+      description: '将本次回复内容拼接上历史记录，作为新的上下文返回',
+      valueType: ModuleDataTypeEnum.chatHistory,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    },
+    {
+      key: ModuleOutputKeyEnum.answerText,
+      label: 'AI回复',
+      description: '将在 stream 回复完毕后触发',
+      valueType: ModuleDataTypeEnum.string,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    },
+    Output_Template_Finish
+  ]
+};
--- a/packages/global/core/module/template/system/assignedAnswer.ts
+++ b/packages/global/core/module/template/system/assignedAnswer.ts
@@ -0,0 +1,29 @@
+import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
+import { Input_Template_TFSwitch } from '../input';
+import { Output_Template_Finish } from '../output';
+
+export const AssignedAnswerModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.answerNode,
+  templateType: ModuleTemplateTypeEnum.textAnswer,
+  flowType: FlowNodeTypeEnum.answerNode,
+  avatar: '/imgs/module/reply.png',
+  name: '指定回复',
+  intro: '该模块可以直接回复一段指定的内容。常用于引导、提示',
+  inputs: [
+    Input_Template_TFSwitch,
+    {
+      key: ModuleInputKeyEnum.answerText,
+      type: FlowNodeInputTypeEnum.textarea,
+      valueType: ModuleDataTypeEnum.any,
+      value: '',
+      label: '回复的内容',
+      description:
+        '可以使用 \\n 来实现连续换行。\n\n可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容。\n\n如传入非字符串类型数据将会自动转成字符串',
+      showTargetInApp: true,
+      showTargetInPlugin: true
+    }
+  ],
+  outputs: [Output_Template_Finish]
+};
--- a/packages/global/core/module/template/system/classifyQuestion.ts
+++ b/packages/global/core/module/template/system/classifyQuestion.ts
@@ -0,0 +1,92 @@
+import {
+  FlowNodeInputTypeEnum,
+  FlowNodeOutputTypeEnum,
+  FlowNodeTypeEnum
+} from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
+import {
+  Input_Template_History,
+  Input_Template_TFSwitch,
+  Input_Template_UserChatInput
+} from '../input';
+
+export const ClassifyQuestionModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.classifyQuestion,
+  templateType: ModuleTemplateTypeEnum.functionCall,
+  flowType: FlowNodeTypeEnum.classifyQuestion,
+  avatar: '/imgs/module/cq.png',
+  name: '问题分类',
+  intro:
+    '根据用户的历史记录和当前问题判断该次提问的类型。可以添加多组问题类型，下面是一个模板例子：\n类型1: 打招呼\n类型2: 关于 laf 通用问题\n类型3: 关于 laf 代码问题\n类型4: 其他问题',
+  showStatus: true,
+  inputs: [
+    Input_Template_TFSwitch,
+    {
+      key: ModuleInputKeyEnum.aiModel,
+      type: FlowNodeInputTypeEnum.selectChatModel,
+      valueType: ModuleDataTypeEnum.string,
+      label: '分类模型',
+      required: true,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.aiSystemPrompt,
+      type: FlowNodeInputTypeEnum.textarea,
+      valueType: ModuleDataTypeEnum.string,
+      value: '',
+      label: '背景知识',
+      description:
+        '你可以添加一些特定内容的介绍，从而更好的识别用户的问题类型。这个内容通常是给模型介绍一个它不知道的内容。',
+      placeholder: '例如: \n1. Laf 是一个云函数开发平台……\n2. Sealos 是一个集群操作系统',
+      showTargetInApp: true,
+      showTargetInPlugin: true
+    },
+    Input_Template_History,
+    Input_Template_UserChatInput,
+    {
+      key: ModuleInputKeyEnum.agents,
+      type: FlowNodeInputTypeEnum.custom,
+      valueType: ModuleDataTypeEnum.any,
+      label: '',
+      value: [
+        {
+          value: '打招呼',
+          key: 'fasw'
+        },
+        {
+          value: '关于 xxx 的问题',
+          key: 'fqsw'
+        },
+        {
+          value: '其他问题',
+          key: 'fesw'
+        }
+      ],
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    }
+  ],
+  outputs: [
+    // custom output
+    {
+      key: 'fasw',
+      label: '',
+      type: FlowNodeOutputTypeEnum.hidden,
+      targets: []
+    },
+    {
+      key: 'fqsw',
+      label: '',
+      type: FlowNodeOutputTypeEnum.hidden,
+      targets: []
+    },
+    {
+      key: 'fesw',
+      label: '',
+      type: FlowNodeOutputTypeEnum.hidden,
+      targets: []
+    }
+  ]
+};
--- a/packages/global/core/module/template/system/contextExtract.ts
+++ b/packages/global/core/module/template/system/contextExtract.ts
@@ -0,0 +1,83 @@
+import {
+  FlowNodeInputTypeEnum,
+  FlowNodeOutputTypeEnum,
+  FlowNodeTypeEnum
+} from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import {
+  ModuleDataTypeEnum,
+  ModuleInputKeyEnum,
+  ModuleOutputKeyEnum,
+  ModuleTemplateTypeEnum
+} from '../../constants';
+import { Input_Template_History, Input_Template_TFSwitch } from '../input';
+
+export const ContextExtractModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.contentExtract,
+  templateType: ModuleTemplateTypeEnum.functionCall,
+  flowType: FlowNodeTypeEnum.contentExtract,
+  avatar: '/imgs/module/extract.png',
+  name: '文本内容提取',
+  intro: '可从文本中提取指定的数据，例如：sql语句、搜索关键词、代码等',
+  showStatus: true,
+  inputs: [
+    Input_Template_TFSwitch,
+    {
+      key: ModuleInputKeyEnum.description,
+      type: FlowNodeInputTypeEnum.textarea,
+      valueType: ModuleDataTypeEnum.string,
+      value: '',
+      label: '提取要求描述',
+      description: '写一段提取要求，告诉 AI 需要提取哪些内容',
+      required: true,
+      placeholder:
+        '例如: \n1. 你是一个实验室预约助手。根据用户问题，提取出姓名、实验室号和预约时间',
+      showTargetInApp: true,
+      showTargetInPlugin: true
+    },
+    Input_Template_History,
+    {
+      key: ModuleInputKeyEnum.contextExtractInput,
+      type: FlowNodeInputTypeEnum.target,
+      label: '需要提取的文本',
+      required: true,
+      valueType: ModuleDataTypeEnum.string,
+      showTargetInApp: true,
+      showTargetInPlugin: true
+    },
+    {
+      key: ModuleInputKeyEnum.extractKeys,
+      type: FlowNodeInputTypeEnum.custom,
+      label: '目标字段',
+      valueType: ModuleDataTypeEnum.any,
+      description: "由 '描述' 和 'key' 组成一个目标字段，可提取多个目标字段",
+      value: [], // {desc: string; key: string; required: boolean;}[]
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    }
+  ],
+  outputs: [
+    {
+      key: ModuleOutputKeyEnum.success,
+      label: '字段完全提取',
+      valueType: ModuleDataTypeEnum.boolean,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    },
+    {
+      key: ModuleOutputKeyEnum.failed,
+      label: '提取字段缺失',
+      valueType: ModuleDataTypeEnum.boolean,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    },
+    {
+      key: ModuleOutputKeyEnum.contextExtractFields,
+      label: '完整提取结果',
+      description: '一个 JSON 字符串，例如：{"name:":"YY","Time":"2023/7/2 18:00"}',
+      valueType: ModuleDataTypeEnum.string,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    }
+  ]
+};
--- a/packages/global/core/module/template/system/datasetSearch.ts
+++ b/packages/global/core/module/template/system/datasetSearch.ts
@@ -0,0 +1,109 @@
+import {
+  FlowNodeInputTypeEnum,
+  FlowNodeOutputTypeEnum,
+  FlowNodeTypeEnum
+} from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import {
+  ModuleDataTypeEnum,
+  ModuleInputKeyEnum,
+  ModuleOutputKeyEnum,
+  ModuleTemplateTypeEnum
+} from '../../constants';
+import { Input_Template_TFSwitch, Input_Template_UserChatInput } from '../input';
+import { Output_Template_Finish } from '../output';
+
+export const DatasetSearchModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.datasetSearchNode,
+  templateType: ModuleTemplateTypeEnum.dataset,
+  flowType: FlowNodeTypeEnum.datasetSearchNode,
+  avatar: '/imgs/module/db.png',
+  name: '知识库搜索',
+  intro: '去知识库中搜索对应的答案。可作为 AI 对话引用参考。',
+  showStatus: true,
+  inputs: [
+    Input_Template_TFSwitch,
+    {
+      key: ModuleInputKeyEnum.datasetSelectList,
+      type: FlowNodeInputTypeEnum.selectDataset,
+      label: '关联的知识库',
+      value: [],
+      valueType: ModuleDataTypeEnum.selectDataset,
+      list: [],
+      required: true,
+      showTargetInApp: false,
+      showTargetInPlugin: true
+    },
+    {
+      key: ModuleInputKeyEnum.datasetSimilarity,
+      type: FlowNodeInputTypeEnum.slider,
+      label: '最低相关性',
+      value: 0.4,
+      valueType: ModuleDataTypeEnum.number,
+      min: 0,
+      max: 1,
+      step: 0.01,
+      markList: [
+        { label: '0', value: 0 },
+        { label: '1', value: 1 }
+      ],
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.datasetLimit,
+      type: FlowNodeInputTypeEnum.slider,
+      label: '单次搜索上限',
+      description: '最多取 n 条记录作为本次问题引用',
+      value: 5,
+      valueType: ModuleDataTypeEnum.number,
+      min: 1,
+      max: 20,
+      step: 1,
+      markList: [
+        { label: '1', value: 1 },
+        { label: '20', value: 20 }
+      ],
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.datasetStartReRank,
+      type: FlowNodeInputTypeEnum.switch,
+      label: '结果重排',
+      description: '将召回的结果进行进一步重排，可增加召回率',
+      plusField: true,
+      value: false,
+      valueType: ModuleDataTypeEnum.boolean,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    Input_Template_UserChatInput
+  ],
+  outputs: [
+    {
+      key: ModuleOutputKeyEnum.datasetIsEmpty,
+      label: '搜索结果为空',
+      type: FlowNodeOutputTypeEnum.source,
+      valueType: ModuleDataTypeEnum.boolean,
+      targets: []
+    },
+    {
+      key: ModuleOutputKeyEnum.datasetUnEmpty,
+      label: '搜索结果不为空',
+      type: FlowNodeOutputTypeEnum.source,
+      valueType: ModuleDataTypeEnum.boolean,
+      targets: []
+    },
+    {
+      key: ModuleOutputKeyEnum.datasetQuoteQA,
+      label: '引用内容',
+      description:
+        '始终返回数组，如果希望搜索结果为空时执行额外操作，需要用到上面的两个输入以及目标模块的触发器',
+      type: FlowNodeOutputTypeEnum.source,
+      valueType: ModuleDataTypeEnum.datasetQuote,
+      targets: []
+    },
+    Output_Template_Finish
+  ]
+};
--- a/packages/global/core/module/template/system/empty.ts
+++ b/packages/global/core/module/template/system/empty.ts
@@ -0,0 +1,14 @@
+import { ModuleTemplateTypeEnum } from '../../constants';
+import { FlowNodeTypeEnum } from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+
+export const EmptyModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.empty,
+  templateType: ModuleTemplateTypeEnum.other,
+  flowType: FlowNodeTypeEnum.empty,
+  avatar: '/imgs/module/cq.png',
+  name: '该模块已被移除',
+  intro: '',
+  inputs: [],
+  outputs: []
+};
--- a/packages/global/core/module/template/system/history.ts
+++ b/packages/global/core/module/template/system/history.ts
@@ -0,0 +1,46 @@
+import {
+  FlowNodeInputTypeEnum,
+  FlowNodeOutputTypeEnum,
+  FlowNodeTypeEnum
+} from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
+
+export const HistoryModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.historyNode,
+  templateType: ModuleTemplateTypeEnum.systemInput,
+  flowType: FlowNodeTypeEnum.historyNode,
+  avatar: '/imgs/module/history.png',
+  name: '聊天记录',
+  intro: '用户输入的内容。该模块通常作为应用的入口，用户在发送消息后会首先执行该模块。',
+  inputs: [
+    {
+      key: ModuleInputKeyEnum.historyMaxAmount,
+      type: FlowNodeInputTypeEnum.numberInput,
+      label: '最长记录数',
+      value: 6,
+      valueType: ModuleDataTypeEnum.number,
+      min: 0,
+      max: 50,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.history,
+      type: FlowNodeInputTypeEnum.hidden,
+      valueType: ModuleDataTypeEnum.chatHistory,
+      label: '聊天记录',
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    }
+  ],
+  outputs: [
+    {
+      key: ModuleInputKeyEnum.history,
+      label: '聊天记录',
+      valueType: ModuleDataTypeEnum.chatHistory,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    }
+  ]
+};
--- a/packages/global/core/module/template/system/http.ts
+++ b/packages/global/core/module/template/system/http.ts
@@ -0,0 +1,31 @@
+import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
+import { Input_Template_TFSwitch } from '../input';
+import { Output_Template_Finish } from '../output';
+
+export const HttpModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.httpRequest,
+  templateType: ModuleTemplateTypeEnum.externalCall,
+  flowType: FlowNodeTypeEnum.httpRequest,
+  avatar: '/imgs/module/http.png',
+  name: 'HTTP模块',
+  intro: '可以发出一个 HTTP POST 请求，实现更为复杂的操作（联网搜索、数据库查询等）',
+  showStatus: true,
+  inputs: [
+    Input_Template_TFSwitch,
+    {
+      key: ModuleInputKeyEnum.httpUrl,
+      value: '',
+      type: FlowNodeInputTypeEnum.input,
+      valueType: ModuleDataTypeEnum.string,
+      label: '请求地址',
+      description: '请求目标地址',
+      placeholder: 'https://api.fastgpt.run/getInventory',
+      required: true,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    }
+  ],
+  outputs: [Output_Template_Finish]
+};
--- a/packages/global/core/module/template/system/pluginInput.ts
+++ b/packages/global/core/module/template/system/pluginInput.ts
@@ -0,0 +1,15 @@
+import { ModuleTemplateTypeEnum } from '../../constants';
+import { FlowNodeTypeEnum } from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+
+export const PluginInputModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.pluginInput,
+  templateType: ModuleTemplateTypeEnum.systemInput,
+  flowType: FlowNodeTypeEnum.pluginInput,
+  avatar: '/imgs/module/input.png',
+  name: '定义插件输入',
+  intro: '自定义配置外部输入，使用插件时，仅暴露自定义配置的输入',
+  showStatus: false,
+  inputs: [],
+  outputs: []
+};
--- a/packages/global/core/module/template/system/pluginOutput.ts
+++ b/packages/global/core/module/template/system/pluginOutput.ts
@@ -0,0 +1,15 @@
+import { ModuleTemplateTypeEnum } from '../../constants';
+import { FlowNodeTypeEnum } from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+
+export const PluginOutputModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.pluginOutput,
+  templateType: ModuleTemplateTypeEnum.systemInput,
+  flowType: FlowNodeTypeEnum.pluginOutput,
+  avatar: '/imgs/module/output.png',
+  name: '定义插件输出',
+  intro: '自定义配置外部输出，使用插件时，仅暴露自定义配置的输出',
+  showStatus: false,
+  inputs: [],
+  outputs: []
+};
--- a/packages/global/core/module/template/system/runApp.ts
+++ b/packages/global/core/module/template/system/runApp.ts
@@ -0,0 +1,62 @@
+import {
+  FlowNodeInputTypeEnum,
+  FlowNodeOutputTypeEnum,
+  FlowNodeTypeEnum
+} from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import {
+  ModuleDataTypeEnum,
+  ModuleInputKeyEnum,
+  ModuleOutputKeyEnum,
+  ModuleTemplateTypeEnum
+} from '../../constants';
+import {
+  Input_Template_History,
+  Input_Template_TFSwitch,
+  Input_Template_UserChatInput
+} from '../input';
+import { Output_Template_Finish } from '../output';
+
+export const RunAppModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.runApp,
+  templateType: ModuleTemplateTypeEnum.externalCall,
+  flowType: FlowNodeTypeEnum.runApp,
+  avatar: '/imgs/module/app.png',
+  name: '应用调用',
+  intro: '可以选择一个其他应用进行调用',
+  showStatus: true,
+  inputs: [
+    Input_Template_TFSwitch,
+    {
+      key: ModuleInputKeyEnum.runAppSelectApp,
+      type: FlowNodeInputTypeEnum.selectApp,
+      valueType: ModuleDataTypeEnum.selectApp,
+      label: '选择一个应用',
+      description: '选择一个其他应用进行调用',
+      required: true,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    Input_Template_History,
+    Input_Template_UserChatInput
+  ],
+  outputs: [
+    {
+      key: ModuleOutputKeyEnum.history,
+      label: '新的上下文',
+      description: '将该应用回复内容拼接到历史记录中，作为新的上下文返回',
+      valueType: ModuleDataTypeEnum.chatHistory,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    },
+    {
+      key: ModuleOutputKeyEnum.answerText,
+      label: 'AI回复',
+      description: '将在应用完全结束后触发',
+      valueType: ModuleDataTypeEnum.string,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    },
+    Output_Template_Finish
+  ]
+};
--- a/packages/global/core/module/template/system/runPlugin.ts
+++ b/packages/global/core/module/template/system/runPlugin.ts
@@ -0,0 +1,15 @@
+import { ModuleTemplateTypeEnum } from '../../constants';
+import { FlowNodeTypeEnum } from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+
+export const RunPluginModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.pluginModule,
+  templateType: ModuleTemplateTypeEnum.externalCall,
+  flowType: FlowNodeTypeEnum.pluginModule,
+  avatar: '/imgs/module/custom.png',
+  intro: '',
+  name: '自定义模块',
+  showStatus: false,
+  inputs: [], // [{key:'pluginId'},...]
+  outputs: []
+};
--- a/packages/global/core/module/template/system/userGuide.ts
+++ b/packages/global/core/module/template/system/userGuide.ts
@@ -0,0 +1,49 @@
+import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import { userGuideTip } from '../tip';
+import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
+
+export const UserGuideModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.userGuide,
+  templateType: ModuleTemplateTypeEnum.userGuide,
+  flowType: FlowNodeTypeEnum.userGuide,
+  avatar: '/imgs/module/userGuide.png',
+  name: '用户引导',
+  intro: userGuideTip,
+  inputs: [
+    {
+      key: ModuleInputKeyEnum.welcomeText,
+      type: FlowNodeInputTypeEnum.hidden,
+      valueType: ModuleDataTypeEnum.string,
+      label: '开场白',
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.variables,
+      type: FlowNodeInputTypeEnum.hidden,
+      valueType: ModuleDataTypeEnum.any,
+      label: '对话框变量',
+      value: [],
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.questionGuide,
+      valueType: ModuleDataTypeEnum.boolean,
+      type: FlowNodeInputTypeEnum.switch,
+      label: '问题引导',
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.tts,
+      type: FlowNodeInputTypeEnum.hidden,
+      valueType: ModuleDataTypeEnum.any,
+      label: '语音播报',
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    }
+  ],
+  outputs: []
+};
--- a/packages/global/core/module/template/system/userInput.ts
+++ b/packages/global/core/module/template/system/userInput.ts
@@ -0,0 +1,40 @@
+import {
+  FlowNodeInputTypeEnum,
+  FlowNodeOutputTypeEnum,
+  FlowNodeTypeEnum
+} from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import {
+  ModuleDataTypeEnum,
+  ModuleInputKeyEnum,
+  ModuleOutputKeyEnum,
+  ModuleTemplateTypeEnum
+} from '../../constants';
+
+export const UserInputModule: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.questionInput,
+  templateType: ModuleTemplateTypeEnum.systemInput,
+  flowType: FlowNodeTypeEnum.questionInput,
+  avatar: '/imgs/module/userChatInput.png',
+  name: '用户问题(入口)',
+  intro: '用户输入的内容。该模块通常作为应用的入口，用户在发送消息后会首先执行该模块。',
+  inputs: [
+    {
+      key: ModuleInputKeyEnum.userChatInput,
+      type: FlowNodeInputTypeEnum.systemInput,
+      valueType: ModuleDataTypeEnum.string,
+      label: '用户问题',
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    }
+  ],
+  outputs: [
+    {
+      key: ModuleOutputKeyEnum.userChatInput,
+      label: '用户问题',
+      type: FlowNodeOutputTypeEnum.source,
+      valueType: ModuleDataTypeEnum.string,
+      targets: []
+    }
+  ]
+};
--- a/packages/global/core/module/template/tip.ts
+++ b/packages/global/core/module/template/tip.ts
@@ -0,0 +1,7 @@
+export const chatNodeSystemPromptTip =
+  '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。可使用变量，例如 {{language}}';
+export const userGuideTip = '可以在对话前设置引导语，设置全局变量，设置下一步指引';
+export const welcomeTextTip =
+  '每次对话开始前，发送一个初始内容。支持标准 Markdown 语法，可使用的额外标记:\n[快捷按键]: 用户点击后可以直接发送该问题';
+export const variableTip =
+  '可以在对话开始前，要求用户填写一些内容作为本轮对话的特定变量。该模块位于开场引导之后。\n变量可以通过 {{变量key}} 的形式注入到其他模块 string 类型的输入中，例如：提示词、限定词等';
--- a/packages/global/core/module/type.d.ts
+++ b/packages/global/core/module/type.d.ts
@@ -1,13 +1,14 @@
-import { FlowNodeTypeEnum, FlowNodeValTypeEnum } from './node/constant';
+import { FlowNodeTypeEnum } from './node/constant';
+import { ModuleDataTypeEnum, ModuleTemplateTypeEnum, VariableInputEnum } from './constants';
 import { FlowNodeInputItemType, FlowNodeOutputItemType } from './node/type';

 export type FlowModuleTemplateType = {
  id: string;
+  templateType: `${ModuleTemplateTypeEnum}`;
  flowType: `${FlowNodeTypeEnum}`; // unique
-  logo?: string;
+  avatar?: string;
  name: string;
-  description?: string;
-  intro?: string;
+  intro: string; // template list intro
  showStatus?: boolean; // chatting response step status
  inputs: FlowNodeInputItemType[];
  outputs: FlowNodeOutputItemType[];
@@ -15,16 +16,17 @@ export type FlowModuleTemplateType = {
 export type FlowModuleItemType = FlowModuleTemplateType & {
  moduleId: string;
 };
-export type SystemModuleTemplateType = {
+export type moduleTemplateListType = {
+  type: `${ModuleTemplateTypeEnum}`;
  label: string;
  list: FlowModuleTemplateType[];
 }[];

+// store module type
 export type ModuleItemType = {
  name: string;
-  logo?: string;
+  avatar?: string;
  intro?: string;
-  description?: string;
  moduleId: string;
  position?: {
    x: number;
@@ -37,6 +39,24 @@ export type ModuleItemType = {
 };

 /* function type */
+// variable
+export type VariableItemType = {
+  id: string;
+  key: string;
+  label: string;
+  type: `${VariableInputEnum}`;
+  required: boolean;
+  maxLen: number;
+  enums: { value: string }[];
+};
+// tts
+export type AppTTSConfigType = {
+  type: 'none' | 'web' | 'model';
+  model?: string;
+  voice?: string;
+  speed?: number;
+};
+
 export type SelectAppItemType = {
  id: string;
  name: string;
--- a/packages/global/core/module/utils.ts
+++ b/packages/global/core/module/utils.ts
@@ -1,28 +1,54 @@
-import {
-  FlowNodeInputTypeEnum,
-  FlowNodeSpecialInputKeyEnum,
-  FlowNodeTypeEnum
-} from './node/constant';
+import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from './node/constant';
+import { ModuleDataTypeEnum, ModuleInputKeyEnum } from './constants';
 import { FlowNodeInputItemType, FlowNodeOutputItemType } from './node/type';
-import { ModuleItemType } from './type';
+import { AppTTSConfigType, ModuleItemType, VariableItemType } from './type';
+
+export const getGuideModule = (modules: ModuleItemType[]) =>
+  modules.find((item) => item.flowType === FlowNodeTypeEnum.userGuide);
+
+export const splitGuideModule = (guideModules?: ModuleItemType) => {
+  const welcomeText: string =
+    guideModules?.inputs?.find((item) => item.key === ModuleInputKeyEnum.welcomeText)?.value || '';
+
+  const variableModules: VariableItemType[] =
+    guideModules?.inputs.find((item) => item.key === ModuleInputKeyEnum.variables)?.value || [];
+
+  const questionGuide: boolean =
+    !!guideModules?.inputs?.find((item) => item.key === ModuleInputKeyEnum.questionGuide)?.value ||
+    false;
+
+  const ttsConfig: AppTTSConfigType = guideModules?.inputs?.find(
+    (item) => item.key === ModuleInputKeyEnum.tts
+  )?.value || { type: 'web' };

-export function getPluginTemplatePluginIdInput(pluginId: string) {
  return {
-    key: FlowNodeSpecialInputKeyEnum.pluginId,
-    type: FlowNodeInputTypeEnum.hidden,
-    label: 'pluginId',
-    value: pluginId,
-    connected: true
+    welcomeText,
+    variableModules,
+    questionGuide,
+    ttsConfig
  };
-}
+};

-export function formatPluginIOModules(
+export function formatPluginToPreviewModule(
  pluginId: string,
  modules: ModuleItemType[]
 ): {
  inputs: FlowNodeInputItemType[];
  outputs: FlowNodeOutputItemType[];
 } {
+  function getPluginTemplatePluginIdInput(pluginId: string): FlowNodeInputItemType {
+    return {
+      key: ModuleInputKeyEnum.pluginId,
+      type: FlowNodeInputTypeEnum.hidden,
+      label: 'pluginId',
+      value: pluginId,
+      valueType: ModuleDataTypeEnum.string,
+      connected: true,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    };
+  }
+
  const pluginInput = modules.find((module) => module.flowType === FlowNodeTypeEnum.pluginInput);
  const customOutput = modules.find((module) => module.flowType === FlowNodeTypeEnum.pluginOutput);

--- a/packages/global/core/plugin/constants.ts
+++ b/packages/global/core/plugin/constants.ts
@@ -1,8 +1,9 @@
+import { ModuleTemplateTypeEnum } from '../module/constants';
 import { ModuleItemType } from '../module/type';

 export const defaultModules: ModuleItemType[] = [
  {
-    moduleId: 'fph4s3',
+    moduleId: 'custom-output',
    name: '自定义输出',
    flowType: 'pluginOutput',
    showStatus: false,
@@ -14,7 +15,7 @@ export const defaultModules: ModuleItemType[] = [
    outputs: []
  },
  {
-    moduleId: 'w09v30',
+    moduleId: 'custom-input',
    name: '自定义输入',
    flowType: 'pluginInput',
    showStatus: false,
@@ -26,3 +27,14 @@ export const defaultModules: ModuleItemType[] = [
    outputs: []
  }
 ];
+
+export enum PluginTypeEnum {
+  personal = 'personal',
+  community = 'community',
+  commercial = 'commercial'
+}
+export const PluginType2TemplateTypeMap = {
+  [PluginTypeEnum.personal]: ModuleTemplateTypeEnum.personalPlugin,
+  [PluginTypeEnum.community]: ModuleTemplateTypeEnum.communityPlugin,
+  [PluginTypeEnum.commercial]: ModuleTemplateTypeEnum.commercialPlugin
+};
--- a/packages/global/core/plugin/type.d.ts
+++ b/packages/global/core/plugin/type.d.ts
@@ -1,4 +1,6 @@
+import { ModuleTemplateTypeEnum } from 'core/module/constants';
 import type { ModuleItemType } from '../module/type.d';
+import { PluginTypeEnum } from './constants';

 export type PluginItemSchema = {
  _id: string;
@@ -11,3 +13,14 @@ export type PluginItemSchema = {
  updateTime: Date;
  modules: ModuleItemType[];
 };
+
+/* plugin template */
+export type PluginTemplateType = {
+  id: string;
+  type: `${PluginTypeEnum}`;
+  name: string;
+  avatar: string;
+  intro: string;
+  modules: ModuleItemType[];
+  templateType?: `${ModuleTemplateTypeEnum}`;
+};
--- a/packages/global/support/user/api.d.ts
+++ b/packages/global/support/user/api.d.ts
@@ -13,3 +13,8 @@ export type OauthLoginProps = {
  inviterId?: string;
  tmbId?: string;
 };
+
+export type FastLoginProps = {
+  token: string;
+  code: string;
+};
--- a/packages/service/common/mongo/init.ts
+++ b/packages/service/common/mongo/init.ts
@@ -26,9 +26,9 @@ export async function connectMongo({
      bufferCommands: true,
      maxConnecting: Number(process.env.DB_MAX_LINK || 5),
      maxPoolSize: Number(process.env.DB_MAX_LINK || 5),
-      minPoolSize: 2,
-      connectTimeoutMS: 20000,
-      waitQueueTimeoutMS: 20000
+      minPoolSize: Number(process.env.DB_MAX_LINK || 10) * 0.5,
+      connectTimeoutMS: 60000,
+      waitQueueTimeoutMS: 60000
    });

    console.log('mongo connected');
--- a/packages/service/common/response/index.ts
+++ b/packages/service/common/response/index.ts
@@ -102,13 +102,13 @@ export function responseWriteController({
  readStream: any;
 }) {
  res.on('drain', () => {
-    readStream.resume();
+    readStream?.resume?.();
  });

  return (text: string | Buffer) => {
    const writeResult = res.write(text);
    if (!writeResult) {
-      readStream?.pause();
+      readStream?.pause?.();
    }
  };
 }
--- a/packages/service/core/ai/audio/speech.ts
+++ b/packages/service/core/ai/audio/speech.ts
@@ -10,8 +10,7 @@ export async function text2Speech({
  input,
  model = defaultAudioSpeechModels[0].model,
  voice,
-  speed = 1,
-  props
+  speed = 1
 }: {
  res: NextApiResponse;
  onSuccess: (e: { model: string; buffer: Buffer }) => void;
@@ -20,9 +19,8 @@ export async function text2Speech({
  model: string;
  voice: string;
  speed?: number;
-  props?: UserModelSchema['openaiAccount'];
 }) {
-  const ai = getAIApi(props);
+  const ai = getAIApi();
  const response = await ai.audio.speech.create({
    model,
    // @ts-ignore
--- a/packages/service/core/app/schema.ts
+++ b/packages/service/core/app/schema.ts
@@ -1,3 +1,4 @@
+import { AppTypeMap } from '@fastgpt/global/core/app/constants';
 import { connectionMongo, type Model } from '../../common/mongo';
 const { Schema, model, models } = connectionMongo;
 import type { AppSchema as AppType } from '@fastgpt/global/core/app/type.d';
@@ -31,7 +32,11 @@ const AppSchema = new Schema({
  type: {
    type: String,
    default: 'advanced',
-    enum: ['basic', 'advanced']
+    enum: Object.keys(AppTypeMap)
+  },
+  simpleTemplateId: {
+    type: String,
+    required: true
  },
  avatar: {
    type: String,
@@ -61,6 +66,7 @@ const AppSchema = new Schema({

 try {
  AppSchema.index({ updateTime: -1 });
+  AppSchema.index({ teamId: 1 });
 } catch (error) {
  console.log(error);
 }
--- a/packages/service/core/chat/chatItemSchema.ts
+++ b/packages/service/core/chat/chatItemSchema.ts
@@ -1,7 +1,7 @@
 import { connectionMongo, type Model } from '../../common/mongo';
 const { Schema, model, models } = connectionMongo;
 import { ChatItemSchema as ChatItemType } from '@fastgpt/global/core/chat/type';
-import { ChatRoleMap, TaskResponseKeyEnum } from '@fastgpt/global/core/chat/constants';
+import { ChatRoleMap } from '@fastgpt/global/core/chat/constants';
 import { customAlphabet } from 'nanoid';
 const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 24);
 import {
@@ -10,6 +10,7 @@ import {
 } from '@fastgpt/global/support/user/team/constant';
 import { appCollectionName } from '../app/schema';
 import { userCollectionName } from '../../support/user/schema';
+import { ModuleOutputKeyEnum } from '@fastgpt/global/core/module/constants';

 const ChatItemSchema = new Schema({
  dataId: {
@@ -65,7 +66,7 @@ const ChatItemSchema = new Schema({
      a: String
    }
  },
-  [TaskResponseKeyEnum.responseData]: {
+  [ModuleOutputKeyEnum.responseData]: {
    type: Array,
    default: []
  }
--- a/packages/service/core/chat/chatSchema.ts
+++ b/packages/service/core/chat/chatSchema.ts
@@ -1,16 +1,13 @@
 import { connectionMongo, type Model } from '../../common/mongo';
 const { Schema, model, models } = connectionMongo;
 import { ChatSchema as ChatType } from '@fastgpt/global/core/chat/type.d';
-import {
-  ChatRoleMap,
-  ChatSourceMap,
-  TaskResponseKeyEnum
-} from '@fastgpt/global/core/chat/constants';
+import { ChatRoleMap, ChatSourceMap } from '@fastgpt/global/core/chat/constants';
 import {
  TeamCollectionName,
  TeamMemberCollectionName
 } from '@fastgpt/global/support/user/team/constant';
 import { appCollectionName } from '../app/schema';
+import { ModuleOutputKeyEnum } from '@fastgpt/global/core/module/constants';

 export const chatCollectionName = 'chat';

@@ -81,7 +78,7 @@ const ChatSchema = new Schema({
          type: String,
          default: ''
        },
-        [TaskResponseKeyEnum.responseData]: {
+        [ModuleOutputKeyEnum.responseData]: {
          type: Array,
          default: []
        }
--- a/packages/service/core/dataset/collection/schema.ts
+++ b/packages/service/core/dataset/collection/schema.ts
@@ -69,6 +69,7 @@ const DatasetCollectionSchema = new Schema({

 try {
  DatasetCollectionSchema.index({ datasetId: 1 });
+  DatasetCollectionSchema.index({ datasetId: 1, parentId: 1 });
  DatasetCollectionSchema.index({ updateTime: -1 });
 } catch (error) {
  console.log(error);
--- a/packages/service/core/dataset/data/schema.ts
+++ b/packages/service/core/dataset/data/schema.ts
@@ -7,7 +7,10 @@ import {
 } from '@fastgpt/global/support/user/team/constant';
 import { DatasetCollectionName } from '../schema';
 import { DatasetColCollectionName } from '../collection/schema';
-import { DatasetDataIndexTypeMap } from '@fastgpt/global/core/dataset/constant';
+import {
+  DatasetDataIndexTypeEnum,
+  DatasetDataIndexTypeMap
+} from '@fastgpt/global/core/dataset/constant';

 export const DatasetDataCollectionName = 'dataset.datas';

@@ -40,6 +43,10 @@ const DatasetDataSchema = new Schema({
    type: String,
    default: ''
  },
+  fullTextToken: {
+    type: String,
+    required: true
+  },
  indexes: {
    type: [
      {
@@ -50,7 +57,7 @@ const DatasetDataSchema = new Schema({
        type: {
          type: String,
          enum: Object.keys(DatasetDataIndexTypeMap),
-          required: true
+          default: DatasetDataIndexTypeEnum.custom
        },
        dataId: {
          type: String,
@@ -67,9 +74,12 @@ const DatasetDataSchema = new Schema({
 });

 try {
-  DatasetDataSchema.index({ userId: 1 });
+  DatasetDataSchema.index({ teamId: 1 });
  DatasetDataSchema.index({ datasetId: 1 });
  DatasetDataSchema.index({ collectionId: 1 });
+  // full text index
+  DatasetDataSchema.index({ datasetId: 1, fullTextToken: 'text' });
+  DatasetDataSchema.index({ fullTextToken: 1 });
 } catch (error) {
  console.log(error);
 }
--- a/packages/service/core/plugin/controller.ts
+++ b/packages/service/core/plugin/controller.ts
@@ -1,40 +1,100 @@
 import { MongoPlugin } from './schema';
 import { FlowModuleTemplateType } from '@fastgpt/global/core/module/type';
 import { FlowNodeTypeEnum } from '@fastgpt/global/core/module/node/constant';
-import { formatPluginIOModules } from '@fastgpt/global/core/module/utils';
+import { formatPluginToPreviewModule } from '@fastgpt/global/core/module/utils';
+import { PluginType2TemplateTypeMap, PluginTypeEnum } from '@fastgpt/global/core/plugin/constants';
+import type { PluginTemplateType } from '@fastgpt/global/core/plugin/type.d';

-/* plugin templates */
-export async function getUserPlugins2Templates({
-  teamId
-}: {
-  teamId: string;
-}): Promise<FlowModuleTemplateType[]> {
-  const plugins = await MongoPlugin.find({ teamId }).lean();
+/* 
+  plugin id rule:
+  personal: id
+  community: community-id
+  commercial: commercial-id
+*/

-  return plugins.map((plugin) => ({
-    id: String(plugin._id),
-    flowType: FlowNodeTypeEnum.pluginModule,
-    logo: plugin.avatar,
-    name: plugin.name,
-    description: plugin.intro,
-    intro: plugin.intro,
-    showStatus: false,
-    inputs: [],
-    outputs: []
-  }));
+export async function splitCombinePluginId(id: string) {
+  const splitRes = id.split('-');
+  if (splitRes.length === 1 && id.length === 24) {
+    return {
+      type: PluginTypeEnum.personal,
+      pluginId: id
+    };
+  }
+
+  const [type, pluginId] = id.split('-') as [`${PluginTypeEnum}`, string];
+  if (!type || !pluginId) return Promise.reject('pluginId not found');
+
+  return { type, pluginId: id };
 }
-/* one plugin 2 module detail */
-export async function getPluginModuleDetail({ id }: { id: string }) {
-  const plugin = await MongoPlugin.findById(id);
+/* format plugin modules to plugin preview module */
+export async function getPluginPreviewModule({
+  id
+}: {
+  id: string;
+}): Promise<FlowModuleTemplateType> {
+  // classify
+  const { type, pluginId } = await splitCombinePluginId(id);
+
+  const plugin = await (async () => {
+    if (type === PluginTypeEnum.community) {
+      return global.communityPlugins?.find((plugin) => plugin.id === pluginId);
+    }
+    if (type === PluginTypeEnum.personal) {
+      const item = await MongoPlugin.findById(id);
+      if (!item) return undefined;
+      return {
+        id: String(item._id),
+        name: item.name,
+        avatar: item.avatar,
+        intro: item.intro,
+        type: PluginTypeEnum.personal,
+        modules: item.modules
+      };
+    }
+  })();
+
  if (!plugin) return Promise.reject('plugin not found');
  return {
-    id: String(plugin._id),
+    id: plugin.id,
+    templateType: PluginType2TemplateTypeMap[plugin.type],
    flowType: FlowNodeTypeEnum.pluginModule,
-    logo: plugin.avatar,
+    avatar: plugin.avatar,
    name: plugin.name,
-    description: plugin.intro,
    intro: plugin.intro,
-    showStatus: false,
-    ...formatPluginIOModules(String(plugin._id), plugin.modules)
+    showStatus: true,
+    ...formatPluginToPreviewModule(plugin.id, plugin.modules)
+  };
+}
+
+export async function getPluginRuntimeById(id: string): Promise<PluginTemplateType> {
+  const { type, pluginId } = await splitCombinePluginId(id);
+
+  const plugin = await (async () => {
+    if (type === PluginTypeEnum.community) {
+      return global.communityPlugins?.find((plugin) => plugin.id === pluginId);
+    }
+    if (type === PluginTypeEnum.personal) {
+      const item = await MongoPlugin.findById(id);
+      if (!item) return undefined;
+      return {
+        id: String(item._id),
+        name: item.name,
+        avatar: item.avatar,
+        intro: item.intro,
+        type: PluginTypeEnum.personal,
+        modules: item.modules
+      };
+    }
+  })();
+
+  if (!plugin) return Promise.reject('plugin not found');
+
+  return {
+    id: plugin.id,
+    type: plugin.type,
+    name: plugin.name,
+    avatar: plugin.avatar,
+    intro: plugin.intro,
+    modules: plugin.modules
  };
 }
--- a/packages/service/core/plugin/schema.ts
+++ b/packages/service/core/plugin/schema.ts
@@ -6,7 +6,7 @@ import {
  TeamMemberCollectionName
 } from '@fastgpt/global/support/user/team/constant';

-export const ModuleCollectionName = 'plugins';
+export const PluginCollectionName = 'plugins';

 const PluginSchema = new Schema({
  userId: {
@@ -52,5 +52,5 @@ try {
 }

 export const MongoPlugin: Model<PluginItemSchema> =
-  models[ModuleCollectionName] || model(ModuleCollectionName, PluginSchema);
+  models[PluginCollectionName] || model(PluginCollectionName, PluginSchema);
 MongoPlugin.syncIndexes();
--- a/packages/service/core/plugin/store/schema.ts
+++ b/packages/service/core/plugin/store/schema.ts
@@ -0,0 +1,31 @@
+import { connectionMongo, type Model } from '../../../common/mongo';
+const { Schema, model, models } = connectionMongo;
+import type { PluginItemSchema } from '@fastgpt/global/core/plugin/type.d';
+
+import { PluginCollectionName } from '../schema';
+
+export const ModuleCollectionName = 'plugins';
+
+const PluginStoreSchema = new Schema({
+  pluginId: {
+    type: Schema.Types.ObjectId,
+    ref: PluginCollectionName,
+    required: true
+  },
+  price: {
+    type: Number,
+    default: 0
+  },
+  updateTime: {
+    type: Date,
+    default: () => new Date()
+  },
+  modules: {
+    type: Array,
+    default: []
+  }
+});
+
+export const MongoPluginStore: Model<PluginItemSchema> =
+  models[ModuleCollectionName] || model(ModuleCollectionName, PluginStoreSchema);
+MongoPluginStore.syncIndexes();
--- a/packages/service/core/plugin/type.d.ts
+++ b/packages/service/core/plugin/type.d.ts
@@ -0,0 +1,5 @@
+import { PluginTemplateType } from '@fastgpt/global/core/plugin/type.d';
+
+declare global {
+  var communityPlugins: PluginTemplateType[];
+}
--- a/packages/service/package.json
+++ b/packages/service/package.json
@@ -4,23 +4,23 @@
  "dependencies": {
    "@fastgpt/global": "workspace:*",
    "axios": "^1.5.1",
-    "nextjs-cors": "^2.1.2",
-    "next": "13.5.2",
    "cookie": "^0.5.0",
+    "encoding": "^0.1.13",
    "jsonwebtoken": "^9.0.2",
    "mongoose": "^7.0.2",
-    "winston": "^3.10.0",
-    "winston-mongodb": "^5.1.1",
-    "tunnel": "^0.0.6",
-    "encoding": "^0.1.13",
+    "nanoid": "^4.0.1",
+    "next": "13.5.2",
+    "nextjs-cors": "^2.1.2",
    "pg": "^8.10.0",
-    "nanoid": "^4.0.1"
+    "tunnel": "^0.0.6",
+    "winston": "^3.10.0",
+    "winston-mongodb": "^5.1.1"
  },
  "devDependencies": {
-    "@types/tunnel": "^0.0.4",
-    "@types/pg": "^8.6.6",
-    "@types/node": "^20.8.5",
    "@types/cookie": "^0.5.2",
-    "@types/jsonwebtoken": "^9.0.3"
+    "@types/jsonwebtoken": "^9.0.3",
+    "@types/node": "^20.8.5",
+    "@types/pg": "^8.6.6",
+    "@types/tunnel": "^0.0.4"
  }
 }
--- a/packages/service/support/permission/auth/chat.ts
+++ b/packages/service/support/permission/auth/chat.ts
@@ -1,6 +1,6 @@
 import { AuthResponseType } from '@fastgpt/global/support/permission/type';
 import { AuthModeType } from '../type';
-import type { ChatSchema, ChatWithAppSchema } from '@fastgpt/global/core/chat/type';
+import type { ChatWithAppSchema } from '@fastgpt/global/core/chat/type';
 import { parseHeaderCert } from '../controller';
 import { MongoChat } from '../../../core/chat/chatSchema';
 import { ChatErrEnum } from '@fastgpt/global/common/error/code/chat';
@@ -16,7 +16,7 @@ export async function authChat({
  chatId: string;
 }): Promise<
  AuthResponseType & {
-    chat: ChatSchema;
+    chat: ChatWithAppSchema;
  }
 > {
  const { userId, teamId, tmbId } = await parseHeaderCert(props);
--- a/packages/service/support/permission/auth/dataset.ts
+++ b/packages/service/support/permission/auth/dataset.ts
@@ -15,19 +15,17 @@ import { getFileById } from '../../../common/file/gridfs/controller';
 import { BucketNameEnum } from '@fastgpt/global/common/file/constants';
 import { getTeamInfoByTmbId } from '../../user/team/controller';

-export async function authDataset({
+export async function authDatasetByTmbId({
+  teamId,
+  tmbId,
  datasetId,
-  per = 'owner',
-  ...props
-}: AuthModeType & {
+  per
+}: {
+  teamId: string;
+  tmbId: string;
  datasetId: string;
-}): Promise<
-  AuthResponseType & {
-    dataset: DatasetSchemaType;
-  }
-> {
-  const result = await parseHeaderCert(props);
-  const { teamId, tmbId } = result;
+  per: AuthModeType['per'];
+}) {
  const { role } = await getTeamInfoByTmbId({ tmbId });

  const { dataset, isOwner, canWrite } = await (async () => {
@@ -58,6 +56,32 @@ export async function authDataset({
    return { dataset, isOwner, canWrite };
  })();

+  return {
+    dataset,
+    isOwner,
+    canWrite
+  };
+}
+export async function authDataset({
+  datasetId,
+  per = 'owner',
+  ...props
+}: AuthModeType & {
+  datasetId: string;
+}): Promise<
+  AuthResponseType & {
+    dataset: DatasetSchemaType;
+  }
+> {
+  const result = await parseHeaderCert(props);
+  const { teamId, tmbId } = result;
+  const { dataset, isOwner, canWrite } = await authDatasetByTmbId({
+    teamId,
+    tmbId,
+    datasetId,
+    per
+  });
+
  return {
    ...result,
    dataset,
--- a/packages/service/support/permission/auth/plugin.ts
+++ b/packages/service/support/permission/auth/plugin.ts
@@ -6,6 +6,8 @@ import { TeamMemberRoleEnum } from '@fastgpt/global/support/user/team/constant';
 import { MongoPlugin } from '../../../core/plugin/schema';
 import { PluginErrEnum } from '@fastgpt/global/common/error/code/plugin';
 import { PluginItemSchema } from '@fastgpt/global/core/plugin/type';
+import { splitCombinePluginId } from '../../../core/plugin/controller';
+import { PluginTypeEnum } from '@fastgpt/global/core/plugin/constants';

 export async function authPluginCrud({
  id,
@@ -54,3 +56,29 @@ export async function authPluginCrud({
    canWrite
  };
 }
+
+export async function authPluginCanUse({
+  id,
+  teamId,
+  tmbId
+}: {
+  id: string;
+  teamId: string;
+  tmbId: string;
+}) {
+  const { type, pluginId } = await splitCombinePluginId(id);
+
+  if (type === PluginTypeEnum.community) {
+    return true;
+  }
+
+  if (type === PluginTypeEnum.personal) {
+    const { role } = await getTeamInfoByTmbId({ tmbId });
+    const plugin = await MongoPlugin.findOne({ _id: pluginId, teamId });
+    if (!plugin) {
+      return Promise.reject(PluginErrEnum.unExist);
+    }
+  }
+
+  return true;
+}
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -164,6 +164,9 @@ importers:
      '@mozilla/readability':
        specifier: ^0.4.4
        version: registry.npmmirror.com/@mozilla/readability@0.4.4
+      '@node-rs/jieba':
+        specifier: ^1.7.2
+        version: registry.npmmirror.com/@node-rs/jieba@1.7.2
      '@tanstack/react-query':
        specifier: ^4.24.10
        version: registry.npmmirror.com/@tanstack/react-query@4.36.1(react-dom@18.2.0)(react@18.2.0)
@@ -216,7 +219,7 @@ importers:
        specifier: ^4.17.21
        version: registry.npmmirror.com/lodash@4.17.21
      mammoth:
-        specifier: ^1.5.1
+        specifier: ^1.6.0
        version: registry.npmmirror.com/mammoth@1.6.0
      mermaid:
        specifier: ^10.2.3
@@ -3686,6 +3689,174 @@ packages:
    requiresBuild: true
    optional: true

+  registry.npmmirror.com/@node-rs/jieba-android-arm-eabi@1.7.2:
+    resolution: {integrity: sha512-FyDHRNSRIHOQO7S6Q4RwuGffnnnuNwaXPH7K8WqSzifEY+zFIaSPcNqrZHrnqyeXc4JiYpBIHeP+0Mkf1kIGRA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-android-arm-eabi/-/jieba-android-arm-eabi-1.7.2.tgz}
+    name: '@node-rs/jieba-android-arm-eabi'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [arm]
+    os: [android]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-android-arm64@1.7.2:
+    resolution: {integrity: sha512-z0UEZCGrAX/IiarhuDMsEIDZBS77UZv4SQyL/J48yrsbWKbb2lJ1vCrYxXIWqwp6auXHEu4r1O/pMriDAcEnPg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-android-arm64/-/jieba-android-arm64-1.7.2.tgz}
+    name: '@node-rs/jieba-android-arm64'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [android]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-darwin-arm64@1.7.2:
+    resolution: {integrity: sha512-M2cHIWRaaOmXGKy446SH2+Y2PzREaI2oYznPbg55wYEdioUp01YS/2WRG8CaoCKEj0aUocA7MFM2vVcoIAsbQw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-darwin-arm64/-/jieba-darwin-arm64-1.7.2.tgz}
+    name: '@node-rs/jieba-darwin-arm64'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [darwin]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-darwin-x64@1.7.2:
+    resolution: {integrity: sha512-euDawBU2FxB0CGTR803BA6WABsiicIrqa61z2AFFDPkJCDrauEM0jbMg3GDKLAvbaLbZ1Etu3QNN5xyroqp4Qw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-darwin-x64/-/jieba-darwin-x64-1.7.2.tgz}
+    name: '@node-rs/jieba-darwin-x64'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [darwin]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-freebsd-x64@1.7.2:
+    resolution: {integrity: sha512-vXCaYxPb90d/xTBVG+ZZXrFLXsO2719pZSyiZCL2tey+UY28U7MOoK6394Wwmf0FCB/eRTQMCKjVIUDi+IRMUg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-freebsd-x64/-/jieba-freebsd-x64-1.7.2.tgz}
+    name: '@node-rs/jieba-freebsd-x64'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [freebsd]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-linux-arm-gnueabihf@1.7.2:
+    resolution: {integrity: sha512-HTep79XlJYO3KRYZ2kJChG9HnYr1DKSQTB+HEYWKLK0ifphqybcxGNLAdH0S4dViG2ciD0+iN/refgtqZEidpw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-linux-arm-gnueabihf/-/jieba-linux-arm-gnueabihf-1.7.2.tgz}
+    name: '@node-rs/jieba-linux-arm-gnueabihf'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [arm]
+    os: [linux]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-linux-arm64-gnu@1.7.2:
+    resolution: {integrity: sha512-P8QJdQydOVewL1MIqYiRpI7LOfrRQag+p4/hwExe+YXH8C7DOrR8rWJD/7XNRTbpOimlHq1UN/e+ZzhxQF/cLw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-linux-arm64-gnu/-/jieba-linux-arm64-gnu-1.7.2.tgz}
+    name: '@node-rs/jieba-linux-arm64-gnu'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [linux]
+    libc: [glibc]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-linux-arm64-musl@1.7.2:
+    resolution: {integrity: sha512-WjnN0hmDvTXb2h3hMW5VnUGkK1xaqhs+WHfMMilau55+YN+YOYALKZ0TeBY4BapClLuBx54wqwmBX+B4hAXunQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-linux-arm64-musl/-/jieba-linux-arm64-musl-1.7.2.tgz}
+    name: '@node-rs/jieba-linux-arm64-musl'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [linux]
+    libc: [musl]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-linux-x64-gnu@1.7.2:
+    resolution: {integrity: sha512-gBXds/DwNSA6lNUxJjL6WIaNT6pnlM5juUgV/krLLkBJ8vXpOrQ07p0rrK1tnigz9b20xhsHaFRSwED1Y8zeXw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-linux-x64-gnu/-/jieba-linux-x64-gnu-1.7.2.tgz}
+    name: '@node-rs/jieba-linux-x64-gnu'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [linux]
+    libc: [glibc]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-linux-x64-musl@1.7.2:
+    resolution: {integrity: sha512-tNVD3SMuG5zAj7+bLS2Enio3zR7BPxi3PhQtpQ+Hv83jajIcN46QQ0EdoMFz/aB+hkQ9PlLAstu+VREFegs5EA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-linux-x64-musl/-/jieba-linux-x64-musl-1.7.2.tgz}
+    name: '@node-rs/jieba-linux-x64-musl'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [linux]
+    libc: [musl]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-win32-arm64-msvc@1.7.2:
+    resolution: {integrity: sha512-/e1iQ0Dh02lGPNCYTU/H3cfIsWydaGRzZ3TDj6GfWrxkWqXORL98x/VJ/C/uKLpc7GSLLd9ygyZG7SOAfKe2tA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-win32-arm64-msvc/-/jieba-win32-arm64-msvc-1.7.2.tgz}
+    name: '@node-rs/jieba-win32-arm64-msvc'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [arm64]
+    os: [win32]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-win32-ia32-msvc@1.7.2:
+    resolution: {integrity: sha512-cYjA6YUiOwtuEzWErvwMMt/RETNWQDLcmAaiHA8ohsa6c0eB0kRJlQCc683tlaczZxqroY/7C9mxgJNGvoGRbw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-win32-ia32-msvc/-/jieba-win32-ia32-msvc-1.7.2.tgz}
+    name: '@node-rs/jieba-win32-ia32-msvc'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [ia32]
+    os: [win32]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba-win32-x64-msvc@1.7.2:
+    resolution: {integrity: sha512-2M+Um3woFF17sa8VBYQQ6E5PNMe9Kf9fdzmeDh/GzuNHXlxW4LyK9VTV8zchIv/bDNAR5Z85kfW4wASULUxvFQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba-win32-x64-msvc/-/jieba-win32-x64-msvc-1.7.2.tgz}
+    name: '@node-rs/jieba-win32-x64-msvc'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    cpu: [x64]
+    os: [win32]
+    requiresBuild: true
+    dev: false
+    optional: true
+
+  registry.npmmirror.com/@node-rs/jieba@1.7.2:
+    resolution: {integrity: sha512-zGto08NDU+KWm670qVHYGTb0YTEJ0A97dwH3WCnnhyRYMqTbOXKC6OwTc/cjzfSJP1UDBSar9Ug9BlmWmEThWg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@node-rs/jieba/-/jieba-1.7.2.tgz}
+    name: '@node-rs/jieba'
+    version: 1.7.2
+    engines: {node: '>= 10'}
+    optionalDependencies:
+      '@node-rs/jieba-android-arm-eabi': registry.npmmirror.com/@node-rs/jieba-android-arm-eabi@1.7.2
+      '@node-rs/jieba-android-arm64': registry.npmmirror.com/@node-rs/jieba-android-arm64@1.7.2
+      '@node-rs/jieba-darwin-arm64': registry.npmmirror.com/@node-rs/jieba-darwin-arm64@1.7.2
+      '@node-rs/jieba-darwin-x64': registry.npmmirror.com/@node-rs/jieba-darwin-x64@1.7.2
+      '@node-rs/jieba-freebsd-x64': registry.npmmirror.com/@node-rs/jieba-freebsd-x64@1.7.2
+      '@node-rs/jieba-linux-arm-gnueabihf': registry.npmmirror.com/@node-rs/jieba-linux-arm-gnueabihf@1.7.2
+      '@node-rs/jieba-linux-arm64-gnu': registry.npmmirror.com/@node-rs/jieba-linux-arm64-gnu@1.7.2
+      '@node-rs/jieba-linux-arm64-musl': registry.npmmirror.com/@node-rs/jieba-linux-arm64-musl@1.7.2
+      '@node-rs/jieba-linux-x64-gnu': registry.npmmirror.com/@node-rs/jieba-linux-x64-gnu@1.7.2
+      '@node-rs/jieba-linux-x64-musl': registry.npmmirror.com/@node-rs/jieba-linux-x64-musl@1.7.2
+      '@node-rs/jieba-win32-arm64-msvc': registry.npmmirror.com/@node-rs/jieba-win32-arm64-msvc@1.7.2
+      '@node-rs/jieba-win32-ia32-msvc': registry.npmmirror.com/@node-rs/jieba-win32-ia32-msvc@1.7.2
+      '@node-rs/jieba-win32-x64-msvc': registry.npmmirror.com/@node-rs/jieba-win32-x64-msvc@1.7.2
+    dev: false
+
  registry.npmmirror.com/@nodelib/fs.scandir@2.1.5:
    resolution: {integrity: sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz}
    name: '@nodelib/fs.scandir'
--- a/projects/app/data/config.json
+++ b/projects/app/data/config.json
@@ -118,8 +118,6 @@
      "model": "tts-1",
      "name": "OpenAI TTS1",
      "price": 0,
-      "baseUrl": "",
-      "key": "",
      "voices": [
        { "label": "Alloy", "value": "alloy", "bufferId": "openai-Alloy" },
        { "label": "Echo", "value": "echo", "bufferId": "openai-Echo" },
--- a/projects/app/package.json
+++ b/projects/app/package.json
@@ -1,6 +1,6 @@
 {
  "name": "app",
-  "version": "4.6.1",
+  "version": "4.6.2",
  "private": false,
  "scripts": {
    "dev": "next dev",
@@ -20,6 +20,7 @@
    "@fastgpt/service": "workspace:*",
    "@fastgpt/web": "workspace:*",
    "@mozilla/readability": "^0.4.4",
+    "@node-rs/jieba": "^1.7.2",
    "@tanstack/react-query": "^4.24.10",
    "@types/nprogress": "^0.2.0",
    "axios": "^1.5.1",
@@ -37,7 +38,7 @@
    "jsdom": "^22.1.0",
    "jsonwebtoken": "^9.0.2",
    "lodash": "^4.17.21",
-    "mammoth": "^1.5.1",
+    "mammoth": "^1.6.0",
    "mermaid": "^10.2.3",
    "multer": "1.4.5-lts.1",
    "nanoid": "^4.0.1",
--- a/projects/app/public/docs/versionIntro.md
+++ b/projects/app/public/docs/versionIntro.md
@@ -1,12 +1,13 @@
-### Fast GPT V4.6
+### Fast GPT V4.6.2

 1. 新增 - 团队空间
 2. 新增 - 多路向量（多个向量映射一组数据）
 3. 新增 - tts语音
-4. 线上环境新增 - ReRank向量召回，提高召回精度
-5. 优化 - 知识库导出，可直接触发流下载，无需等待转圈圈
-6. [知识库结构详解](https://doc.fastgpt.in/docs/use-cases/datasetengine/)
-7. [知识库提示词详解](https://doc.fastgpt.in/docs/use-cases/ai_settings/#引用模板--引用提示词)
-8. [使用文档](https://doc.fastgpt.in/docs/intro/)
-9. [点击查看高级编排介绍文档](https://doc.fastgpt.in/docs/workflow)
-10. [点击查看商业版](https://doc.fastgpt.in/docs/commercial/)
+4. 新增 - 语音输入
+5. 新增 - 增强召回方式，提高召回精度
+6. 优化 - 知识库导出，可直接触发流下载，无需等待转圈圈
+7. [知识库结构详解](https://doc.fastgpt.in/docs/use-cases/datasetengine/)
+8. [知识库提示词详解](https://doc.fastgpt.in/docs/use-cases/ai_settings/#引用模板--引用提示词)
+9. [使用文档](https://doc.fastgpt.in/docs/intro/)
+10. [点击查看高级编排介绍文档](https://doc.fastgpt.in/docs/workflow)
+11. [点击查看商业版](https://doc.fastgpt.in/docs/commercial/)
--- a/projects/app/public/imgs/modal/badAnswer.svg
+++ b/projects/app/public/imgs/modal/badAnswer.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700745147176" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="25531" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M551.706122 909.061224c-25.6 0-49.632653-8.359184-65.306122-24.555102-25.6-26.122449-36.571429-70.530612-47.542857-117.028571-6.269388-26.122449-13.583673-55.902041-21.420408-68.963265-20.897959-35.526531-65.828571-54.334694-78.367347-59.036735H266.971429c-25.6 0-47.020408-20.897959-47.020409-47.020408V215.771429c0-25.6 20.897959-47.020408 47.020409-47.020409h67.918367C364.146939 153.6 447.738776 114.938776 543.346939 114.938776h181.812245c29.779592 0 92.473469 10.971429 117.55102 53.289795 23.510204 39.183673 63.216327 344.293878 63.216327 370.416327 0 56.946939-53.812245 101.355102-100.310204 101.355102h-119.640817c-4.179592 0-6.791837 2.089796-7.836734 3.657143-1.044898 1.567347-2.612245 4.179592-2.089796 8.359184 4.179592 20.37551 13.583673 73.665306 6.791836 130.612244-7.314286 57.991837-41.795918 102.922449-92.473469 120.163266-12.016327 4.179592-25.6 6.269388-38.661225 6.269387z" fill="#16C4AF" p-id="25532"></path><path d="M132.179592 623.281633c-10.971429 0-19.853061-8.881633-19.853061-19.853062V196.440816c0-10.971429 8.881633-19.853061 19.853061-19.853061s19.853061 8.881633 19.853061 19.853061v406.987755c0 10.971429-8.881633 19.853061-19.853061 19.853062z" fill="#16C4AF" p-id="25533"></path></svg>
--- a/projects/app/public/imgs/modal/bill.svg
+++ b/projects/app/public/imgs/modal/bill.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700746245397" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="43680" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M0 0m178.086957 0l667.826086 0q178.086957 0 178.086957 178.086957l0 667.826086q0 178.086957-178.086957 178.086957l-667.826086 0q-178.086957 0-178.086957-178.086957l0-667.826086q0-178.086957 178.086957-178.086957Z" fill="#8973E6" p-id="43681"></path><path d="M570.813217 258.782609a77.534609 77.534609 0 0 1 77.534609 77.534608v350.987131a77.913043 77.913043 0 0 0 74.017391 77.824l3.895653 0.089043H316.838957a77.534609 77.534609 0 0 1-77.534609-77.534608V336.317217a77.534609 77.534609 0 0 1 77.534609-77.534608h253.996521zM456.43687 589.913043h-122.61287a16.606609 16.606609 0 0 0-16.606609 16.606609v5.743305c0 9.171478 7.43513 16.606609 16.606609 16.606608h122.61287a16.606609 16.606609 0 0 0 16.606608-16.606608v-5.743305a16.606609 16.606609 0 0 0-16.606608-16.606609z m77.913043-116.869565h-200.525913a16.606609 16.606609 0 0 0-16.606609 16.606609v5.743304c0 9.171478 7.43513 16.606609 16.606609 16.606609h200.525913a16.606609 16.606609 0 0 0 16.606609-16.606609v-5.743304a16.606609 16.606609 0 0 0-16.606609-16.606609z m0-116.869565h-200.525913a16.606609 16.606609 0 0 0-16.606609 16.606609v5.743304c0 9.171478 7.43513 16.606609 16.606609 16.606609h200.525913a16.606609 16.606609 0 0 0 16.606609-16.606609v-5.743304a16.606609 16.606609 0 0 0-16.606609-16.606609z" fill="#FFFFFF" p-id="43682"></path><path d="M628.869565 570.434783h155.826087v116.869565a77.913043 77.913043 0 0 1-155.826087 0v-116.869565z" fill="#FFFFFF" opacity=".6" p-id="43683"></path></svg>
--- a/projects/app/public/imgs/modal/chatHistory.svg
+++ b/projects/app/public/imgs/modal/chatHistory.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700627014976" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="9004" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M749.57747 338.71354a28.03513 28.03513 0 0 1-1.921508-56.00726l167.832777-11.875555-5.355025-146.507178a28.03513 28.03513 0 0 1 56.038759-2.047509l5.607026 153.43721a48.730726 48.730726 0 0 1-45.45471 50.589234l-174.762809 12.348057c-0.630003 0.063-1.291506 0.063-1.98451 0.063001z m166.16327-60.952783z" fill="#2E3138" p-id="9005"></path><path d="M585.461711 1004.878624a484.125741 484.125741 0 0 0-190.544383-929.254302H285.13932l-94.815439 74.466344-152.775707 469.761675L395.35833 996.153084s131.607609 33.799656 190.103381 8.72554z" fill="#56E5BE" p-id="9006"></path><path d="M769.202061 559.781563a484.220242 484.220242 0 0 1-290.179343 443.648054c-59.346275 25.98762-339.06757-61.173283-369.559711-198.450919-63.630295-286.651327-5.071523-729.133876 175.644813-729.133875a484.031241 484.031241 0 0 1 484.094241 483.93674z" fill="#50DDB8" p-id="9007"></path><path d="M279.658295 87.342376a484.220242 484.220242 0 0 1 103.950481 908.810708l-233.101079-144.900671-112.802022-242.551123 8.851541-229.258062 107.100495-210.389474z" fill="#42D3AD" p-id="9008"></path><path d="M512.727874 1023.999212a512.003371 512.003371 0 0 1-426.921477-227.998055C-70.780828 561.041569-6.993032 242.480594 227.998056 85.798869S781.424118-6.87456 938.105843 228.085028a28.06663 28.06663 0 0 1-46.683216 31.122144 455.964611 455.964611 0 0 0-632.333927-126.630587C49.864731 271.996231-6.961532 555.655044 132.521114 764.910513s423.046959 266.050232 632.333927 126.599086a458.925625 458.925625 0 0 0 198.954921-441.821045 28.04458 28.04458 0 1 1 55.566258-7.623036 515.342386 515.342386 0 0 1-223.462035 496.127297 509.451859 509.451859 0 0 1-283.186311 85.806397z" fill="#2E3138" p-id="9009"></path><path d="M729.543378 657.558016h-2.236511l-186.354862-14.553067a47.029718 47.029718 0 0 1-43.0292-46.746217v-211.77548a28.03513 28.03513 0 0 1 56.07026 0v203.17594l177.818323 13.891565a28.03513 28.03513 0 0 1-2.14201 56.007259z" fill="#2E3138" p-id="9010"></path></svg>
--- a/projects/app/public/imgs/modal/concat.svg
+++ b/projects/app/public/imgs/modal/concat.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700745458924" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="30191" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M0 512a512 512 0 1 0 1024 0 512 512 0 1 0-1024 0Z" fill="#EFF2FF" p-id="30192"></path><path d="M682.666667 682.666667c9.898667 9.841778-9.841778-9.841778 0 0zM338.488889 685.511111l5.688889-5.688889c-1.080889 0.682667-2.161778 2.104889-2.844445 2.844445a10.752 10.752 0 0 0-2.844444 2.844444z" fill="#000000" p-id="30193"></path><path d="M784.896 740.693333c23.324444-40.504889 10.410667-71.68-30.947556-102.798222-48.696889-36.579556-96.199111-61.212444-130.389333-21.788444 0 0-36.295111 43.064889-143.075555-57.685334C356.352 440.490667 408.462222 398.677333 408.462222 398.677333c43.178667-43.235556 15.701333-75.548444-20.48-124.416-36.238222-48.924444-72.817778-64.341333-125.326222-22.300444-101.262222 81.009778 41.528889 271.189333 113.607111 345.144889 0 0 109.738667 113.095111 178.801778 150.755555l36.920889 20.593778c52.906667 27.079111 112.469333 39.480889 154.339555 14.336 0 0 20.195556-10.353778 38.570667-42.097778z" fill="#4D4DEE" p-id="30194"></path></svg>
--- a/projects/app/public/imgs/modal/edit.svg
+++ b/projects/app/public/imgs/modal/edit.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700634007483" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="19559" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M65.361 856H967v160H65.361zM65.531 805.062l2.295-188.972L676.402 7.515 863.078 194.19 254.503 802.766 65.53 805.062z m50.726-169.52l-1.46 120.254 120.254-1.46L116.257 635.54z m507.147-507.147L742.198 247.19l52.163-52.163L675.567 76.232l-52.163 52.163z" fill="#1AA5FF" p-id="19560"></path></svg>
--- a/projects/app/public/imgs/modal/folder.svg
+++ b/projects/app/public/imgs/modal/folder.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700746526624" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="53489" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M300.053794 0h423.892412c200.032053 0 300.053794 100.021741 300.053794 300.053794v423.892412c0 200.032053-100.021741 300.053794-300.053794 300.053794H300.053794C100.021741 1023.988572 0 923.966831 0 723.934778v-423.880984C0 100.021741 100.021741 0 300.053794 0z" fill="#598BFC" opacity=".15" p-id="53490"></path><path d="M709.900648 336.864812h-191.883572c-7.017065 0-13.542706-3.645674-17.211237-9.62275l-43.725226-41.828105a34.641899 34.641899 0 0 0-29.508242-16.479816h-110.695908c-43.725226 0-79.164831 35.416748-79.16483 79.09626v310.876531c0 42.136673 34.182476 76.296291 76.364862 76.30772h395.835582c42.170958 0 76.364862-34.171047 76.364862-76.30772V413.172532c0-42.136673-34.193904-76.30772-76.376291-76.30772z" fill="#598BFC" p-id="53491"></path><path d="M335.436256 437.800828h353.116059c13.336994 0 20.011205 6.857066 20.011205 20.571199s-6.674211 20.571199-20.011205 20.571199H335.436256c-13.336994 0-20.011205-6.857066-20.011205-20.571199s6.674211-20.571199 20.011205-20.571199z" fill="#FFFFFF" p-id="53492"></path></svg>
--- a/projects/app/public/imgs/modal/import.svg
+++ b/projects/app/public/imgs/modal/import.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700746705101" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="61761" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M906.5472 756.8384H632.9344c-23.04 0-43.2128-20.1728-43.2128-43.2128s20.1728-43.2128 43.2128-43.2128h273.6128c23.04 0 43.2128 20.1728 43.2128 43.2128s-20.1728 43.2128-43.2128 43.2128z" fill="#409EFF" p-id="61762"></path><path d="M631.296 756.8384c-11.5712 0-23.04-2.8672-28.7744-11.5712-17.3056-17.3056-17.3056-43.2128 0-60.5184L732.16 555.2128c17.3056-17.3056 43.2128-17.3056 60.5184 0s17.3056 43.2128 0 60.5184L663.04 745.3696c-11.5712 8.6016-23.04 11.4688-31.744 11.4688z" fill="#409EFF" p-id="61763"></path><path d="M761.4464 886.3744c-11.5712 0-23.04-2.8672-28.7744-11.5712L603.0336 745.3696c-17.3056-17.3056-17.3056-43.2128 0-60.5184s43.2128-17.3056 60.5184 0l129.6384 129.536c17.3056 17.3056 17.3056 43.2128 0 60.5184-8.704 5.7344-20.2752 11.4688-31.744 11.4688z" fill="#409EFF" p-id="61764"></path><path d="M851.8656 932.4544a126.65856 126.65856 0 0 1-89.2928 37.4784c-34.6112 0-63.3856-11.5712-89.2928-37.4784L546.5088 802.9184c-17.3056-17.3056-28.7744-40.3456-34.6112-63.3856-2.8672-8.6016-2.8672-17.3056-2.8672-25.9072s0-17.3056 2.8672-25.9072c5.7344-23.04 17.3056-46.08 34.6112-63.3856L676.0448 494.592c48.4352-49.3568 127.6928-49.9712 177.0496-1.536l1.536 1.536c17.6128 17.6128 52.0192 62.1568 67.2768 82.1248 1.4336 1.8432 4.096 2.2528 5.9392 0.8192 1.024-0.8192 1.6384-2.048 1.6384-3.3792V280.064c0-65.6384-53.76-119.3984-119.3984-119.3984H314.5728c-65.6384 0-119.3984 53.76-119.3984 119.3984v573.3376c0 65.6384 53.76 119.3984 119.3984 119.3984h492.6464c65.6384 0 119.3984-53.76 119.3984-119.3984 0-2.3552-1.8432-4.1984-4.1984-4.1984a3.9936 3.9936 0 0 0-3.3792 1.7408c-14.7456 20.1728-47.616 64.1024-67.1744 81.5104z" fill="#409EFF" p-id="61765"></path><path d="M131.7888 823.0912V212.48c0-66.2528 54.6816-120.9344 120.9344-120.9344h524.1856C756.8384 68.5056 725.0944 51.2 690.5856 51.2H189.44C126.0544 51.2 74.24 103.0144 74.24 166.4v584.6016c0 43.2128 23.04 80.5888 60.5184 100.7616-2.9696-11.4688-2.9696-20.0704-2.9696-28.672z" fill="#409EFF" p-id="61766"></path></svg>
--- a/projects/app/public/imgs/modal/key.svg
+++ b/projects/app/public/imgs/modal/key.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700983497588" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="6628" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M698.483573 594.905936A287.506808 287.506808 0 1 1 984.611923 306.020671v1.181535a287.309885 287.309885 0 0 1-286.12835 287.70373z" fill="#FFFFFF" p-id="6629"></path><path d="M698.483573 39.387645A267.814561 267.814561 0 1 1 433.229005 308.777585v-1.575379A267.420716 267.420716 0 0 1 698.483573 39.387645m0-39.384494A307.199055 307.199055 0 1 0 1004.30417 308.580663v-1.378457A306.411365 306.411365 0 0 0 698.680495 0.003151z" fill="#007FB7" p-id="6630"></path><path d="M787.689452 236.310116m-78.768988 0a78.768988 78.768988 0 1 0 157.537977 0 78.768988 78.768988 0 1 0-157.537977 0Z" fill="#D1EBF2" p-id="6631"></path><path d="M787.689452 177.233375a59.076741 59.076741 0 1 1-59.076741 59.076741 59.076741 59.076741 0 0 1 59.076741-59.076741m0-39.384495a98.461236 98.461236 0 1 0 98.461236 98.461236 98.461236 98.461236 0 0 0-98.461236-98.461236z" fill="#007FB7" p-id="6632"></path><path d="M39.384062 974.57246v-113.033499l390.300338-392.466484 162.067194 108.701204-116.381181 58.682896v124.455002l-135.876505 5.316906v131.150366l-127.014993 4.923062-65.772106 99.248925L39.384062 974.57246z" fill="#D1EBF2" p-id="6633"></path><path d="M433.229005 494.475475l120.713474 80.935136-75.421306 38.006037-21.661472 10.830736v118.153482l-98.461235 3.741527-38.793727 2.166148v131.347288l-98.461236 3.741527h-19.692247l-11.224581 16.73841L137.845298 979.101677l-78.768988-19.692247v-89.796647l374.152695-374.152695m-5.119985-50.805998L19.691815 853.268218v136.467272L155.56832 1024l67.938253-102.399685 135.876505-5.316907v-131.150365l135.876505-5.316907v-131.347288L630.151476 580.333673l-203.027068-136.664195z" fill="#007FB7" p-id="6634"></path></svg>
--- a/projects/app/public/imgs/modal/move.svg
+++ b/projects/app/public/imgs/modal/move.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700746780241" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="67557" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M768 320v128H576V256h128L512 64 320 256h128v192H256V320L64 512l64 64 128 128V576h192v192H320l192 192 64-64 128-128H576V576h192v128l192-192-192-192z" p-id="67558" fill="#13227a"></path></svg>
--- a/projects/app/public/imgs/modal/network.svg
+++ b/projects/app/public/imgs/modal/network.svg
--- a/projects/app/public/imgs/modal/openai.svg
+++ b/projects/app/public/imgs/modal/openai.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700746289796" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="44851" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M939.795692 421.415385a248.832 248.832 0 0 0-21.385846-204.386462 251.667692 251.667692 0 0 0-271.064615-120.753231 248.832 248.832 0 0 0-187.687385-83.672615 251.687385 251.687385 0 0 0-240.088615 174.257231 248.910769 248.910769 0 0 0-166.4 120.713846 251.707077 251.707077 0 0 0 30.956307 295.108923 248.832 248.832 0 0 0 21.385847 204.386461 251.687385 251.687385 0 0 0 271.064615 120.753231 248.832 248.832 0 0 0 187.687385 83.672616 251.687385 251.687385 0 0 0 240.167384-174.355693 248.910769 248.910769 0 0 0 166.4-120.713846A251.707077 251.707077 0 0 0 939.795692 421.415385zM564.342154 946.195692a186.663385 186.663385 0 0 1-119.827692-43.323077c1.516308-0.827077 4.174769-2.284308 5.907692-3.347692l198.892308-114.884923a32.334769 32.334769 0 0 0 16.344615-28.297846V475.943385l84.066461 48.541538a2.993231 2.993231 0 0 1 1.634462 2.304v232.211692a187.431385 187.431385 0 0 1-187.017846 187.195077z m-402.195692-171.776a186.564923 186.564923 0 0 1-22.331077-125.44c1.476923 0.886154 4.056615 2.461538 5.907692 3.524923l198.892308 114.884923a32.374154 32.374154 0 0 0 32.669538 0l242.825846-140.20923v97.083077a3.012923 3.012923 0 0 1-1.201231 2.579692l-201.058461 116.086154a187.392 187.392 0 0 1-255.704615-68.509539z m-52.322462-434.195692a186.505846 186.505846 0 0 1 97.437538-82.077538c0 1.713231-0.098462 4.745846-0.098461 6.852923v229.769846a32.315077 32.315077 0 0 0 16.324923 28.278154L466.313846 663.236923l-84.066461 48.541539a3.012923 3.012923 0 0 1-2.835693 0.256l-201.078154-116.184616a187.392 187.392 0 0 1-68.509538-255.625846z m690.688 160.728615l-242.825846-140.20923 84.066461-48.521847a3.012923 3.012923 0 0 1 2.835693-0.256l201.078154 116.086154a187.234462 187.234462 0 0 1-28.928 337.821539V529.230769a32.295385 32.295385 0 0 0-16.226462-28.278154zM884.184615 375.020308c-1.476923-0.905846-4.056615-2.461538-5.907692-3.524923l-198.892308-114.884923a32.413538 32.413538 0 0 0-32.669538 0l-242.825846 140.20923v-97.083077a3.012923 3.012923 0 0 1 1.201231-2.579692l201.058461-115.987692A187.214769 187.214769 0 0 1 884.184615 375.020308z m-526.00123 173.036307l-84.086154-48.541538a2.993231 2.993231 0 0 1-1.634462-2.304V264.999385a187.214769 187.214769 0 0 1 307.003077-143.753847c-1.516308 0.827077-4.155077 2.284308-5.907692 3.347693l-198.892308 114.884923a32.315077 32.315077 0 0 0-16.344615 28.278154z m45.666461-98.461538L512 387.131077l108.150154 62.424615v124.888616L512 636.868923l-108.150154-62.424615z" fill="#202123" p-id="44852"></path></svg>
--- a/projects/app/public/imgs/modal/params.svg
+++ b/projects/app/public/imgs/modal/params.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700626300526" class="icon" viewBox="0 0 1050 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5944" xmlns:xlink="http://www.w3.org/1999/xlink" width="131.25" height="128"><path d="M877.714286 29.404164H173.484566c-72.53027 0-131.338598 58.808327-131.338598 131.338597V864.972481c0 72.53027 58.808327 131.338598 131.338598 131.338598h704.22972c72.53027 0 131.338598-58.808327 131.338597-131.338598V160.742761C1008.807849 88.212491 949.999521 29.404164 877.714286 29.404164zM857.621441 760.832735h-113.941135c-19.112706 39.695621-59.543431 67.384542-106.590093 67.384542s-87.477387-27.443886-106.590093-67.384542h-318.545107c-27.933955 0-50.722182-22.788227-50.722182-50.722182 0-27.933955 22.788227-50.722182 50.722182-50.722183h318.790141c19.112706-39.695621 59.543431-67.384542 106.590094-67.384541s87.477387 27.443886 106.590093 67.384541H857.621441c27.933955 0 50.722182 22.788227 50.722182 50.722183 0.245035 28.17899-22.543192 50.722182-50.722182 50.722182z m0-394.750897H523.149079c-19.112706 39.695621-59.543431 67.384542-106.590094 67.384542s-87.477387-27.443886-106.590093-67.384542h-98.013879c-27.933955 0-50.722182-22.788227-50.722182-50.722183 0-27.933955 22.788227-50.722182 50.722182-50.722182h98.258914c19.112706-39.695621 59.543431-67.384542 106.590093-67.384542s87.477387 27.443886 106.590093 67.384542H857.621441c27.933955 0 50.722182 22.788227 50.722182 50.722182 0.245035 27.933955-22.543192 50.722182-50.722182 50.722183z" p-id="5945" fill="#1296db"></path></svg>
--- a/projects/app/public/imgs/modal/password.svg
+++ b/projects/app/public/imgs/modal/password.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700746389208" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="49701" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M128 0h768C981.357714 0 1024 42.642286 1024 128v768c0 85.357714-42.642286 128-128 128H128C42.642286 1024 0 981.357714 0 896V128C0 42.642286 42.642286 0 128 0z" fill="#4C84FF" p-id="49702"></path><path d="M704 398.189714h-31.963429v-64.950857c0-89.746286-71.68-162.596571-160.036571-162.596571-88.283429 0-159.963429 72.850286-159.963429 162.596571v64.950857h-32.036571c-35.181714 0-64 29.257143-64 65.097143v282.331429c0 35.766857 28.818286 65.097143 64 65.097143h384c35.181714 0 64-29.257143 64-65.097143v-282.331429a64.731429 64.731429 0 0 0-64-65.097143zM512 682.715429a85.577143 85.577143 0 0 1-85.357714-85.357715A85.577143 85.577143 0 0 1 512 512a85.577143 85.577143 0 0 1 85.357714 85.357714A85.577143 85.577143 0 0 1 512 682.642286z m-95.963429-284.525715v-64.950857c0-53.979429 42.861714-97.572571 95.963429-97.572571 53.101714 0 96.036571 43.52 96.036571 97.572571v64.950857H416.036571z" fill="#FFFFFF" p-id="49703"></path></svg>
--- a/projects/app/public/imgs/modal/pay.svg
+++ b/projects/app/public/imgs/modal/pay.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700746345419" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="47618" width="128" height="128" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M885 409.2c-28.2 1.4-53.9-18.2-59.4-46.8l-29-150.5-585 112.6c-8.4 1.6-15.8 6.5-20.7 13.8-4.9 7.3-6.7 15.9-5.1 24.3 6 31.3-14.5 61.6-45.8 67.6-31.3 6.1-61.6-14.5-67.6-45.8-7.4-38.7 0.7-78.1 22.9-110.9 22.2-32.8 55.8-54.9 94.5-62.4L781.4 97.4c28.5-5.5 57.5 0.5 81.6 16.8 24.1 16.3 40.4 41 45.9 69.5l30.2 157c6 31.3-14.5 61.6-45.8 67.6-2.8 0.5-5.5 0.8-8.3 0.9z" fill="#00EFEF" p-id="47619"></path><path d="M861.6 281.7H162.1c-54.6 0-99 44.4-99 99V817c0 54.6 44.4 99.1 99 99.1h699.5c54.5 0 99-44.4 99-99.1V380.7c0-54.6-44.5-99-99-99zM178.5 397.1h666.6v60.1H178.5v-60.1z m666.6 403.5H178.5V570h666.6v230.6z" fill="#52A9FF" p-id="47620"></path><path d="M446.7 682.8H251.1c-20.7 0-37.6-16.9-37.6-37.6 0-20.7 16.9-37.6 37.6-37.6h195.5c20.7 0 37.6 16.9 37.6 37.6 0.1 20.7-16.9 37.6-37.5 37.6z" fill="#00EFEF" p-id="47621"></path></svg>
--- a/projects/app/public/imgs/modal/preview.svg
+++ b/projects/app/public/imgs/modal/preview.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700747053101" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="69471" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M512 853.333333c-263.9872 0-477.866667-284.672-477.866667-341.230933C34.133333 471.3472 248.0128 170.666667 512 170.666667c263.918933 0 477.866667 303.445333 477.866667 341.435733C989.7984 568.900267 775.850667 853.333333 512 853.333333z m-6.144-521.1136c-127.658667 0-276.5824 60.279467-276.5824 187.938134s148.8896 174.318933 276.548267 174.318933 279.005867-46.660267 279.005866-174.318933-151.3472-187.938133-279.005866-187.938134z m2.594133 93.7984a79.325867 79.325867 0 0 0 79.223467 79.291734c10.376533 0 19.968-2.1504 29.013333-5.563734 0.341333 3.6864 1.297067 7.202133 1.297067 11.0592a113.220267 113.220267 0 1 1-226.542933 0 113.322667 113.322667 0 0 1 113.220266-113.3568c3.1744 0 6.178133 0.7168 9.216 0.989867-3.345067 8.6016-5.4272 17.749333-5.4272 27.579733z" fill="#85C2FF" p-id="69472"></path></svg>
--- a/projects/app/public/imgs/modal/prompt.svg
+++ b/projects/app/public/imgs/modal/prompt.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700745656774" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="34698" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M683.776 164.352a55.808 55.808 0 1 0-105.984-34.9184L336.9984 859.648a55.808 55.808 0 1 0 105.984 34.9184L683.8272 164.352zM179.712 327.168l-66.9184-36.5568a33.4848 33.4848 0 0 1 0-58.88L179.712 195.072a9.472 9.472 0 0 0 3.7888-3.7888l36.608-66.9184a33.4848 33.4848 0 0 1 58.88 0l37.9392 69.3248 69.376 37.9392a33.4848 33.4848 0 0 1 0 58.88l-66.9184 36.6592a9.472 9.472 0 0 0-3.7888 3.7376l-36.608 66.9184a33.4848 33.4848 0 0 1-58.88 0l-36.608-66.9184a9.472 9.472 0 0 0-3.7888-3.7376z m591.4624 302.8992l-57.5488-31.488a28.8256 28.8256 0 0 1 0-50.688l57.5488-31.488a8.192 8.192 0 0 0 3.2768-3.2256l31.488-57.6a28.8256 28.8256 0 0 1 50.688 0l32.6144 59.6992 59.648 32.6144a28.7744 28.7744 0 0 1 0 50.688l-57.5488 31.488a8.192 8.192 0 0 0-3.2768 3.2256l-31.488 57.6a28.8256 28.8256 0 0 1-50.688 0l-31.4368-57.6a8.192 8.192 0 0 0-3.2768-3.2256z" p-id="34699" fill="#13227a"></path></svg>
--- a/projects/app/public/imgs/modal/quote.svg
+++ b/projects/app/public/imgs/modal/quote.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700627067306" class="icon" viewBox="0 0 1025 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="10812" xmlns:xlink="http://www.w3.org/1999/xlink" width="128.125" height="128"><path d="M448 838.4c0 67.2-52.8 121.6-118.4 121.6H118.4C52.8 960 0 905.6 0 838.4v-448C0 209.6 140.8 64 315.2 64h40c20.8 0 40 19.2 40 40v81.6c0 22.4-17.6 40-40 40h-40c-86.4 0-156.8 73.6-156.8 163.2v20.8c0 33.6 27.2 60.8 59.2 60.8h113.6c65.6 0 118.4 54.4 118.4 121.6v246.4z m576 0c0 67.2-52.8 121.6-118.4 121.6H694.4c-65.6 0-118.4-54.4-118.4-121.6v-448C576 209.6 716.8 64 891.2 64h40c20.8 0 40 19.2 40 40v81.6c0 22.4-17.6 40-40 40h-40c-86.4 0-156.8 73.6-156.8 163.2v20.8c0 33.6 27.2 60.8 59.2 60.8h113.6c65.6 0 118.4 54.4 118.4 121.6v246.4z" p-id="10813" fill="#E67E22"></path></svg>
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Archer	933c3fdfd6	Add mongo index (#519 )	2023-11-26 20:17:29 +08:00
Archer	f818260711	4.6.2-production (#518 )	2023-11-26 16:13:45 +08:00
Archer	3acbf1ab17	4.6.2-alpha (#517 )	2023-11-25 21:58:00 +08:00
Archer	9cb4280a16	v4.6.2-alpah (#511 )	2023-11-24 15:29:43 +08:00
Archer	60f752629f	4.6.1 production (#498 )	2023-11-21 18:26:18 +08:00
Archer	0558379ddb	v4.6.1 (#497 )	2023-11-20 19:20:55 +08:00
heheer	9c4eabfc9e	fix audio input infinite rendering (#496 )	2023-11-20 18:43:10 +08:00
Archer	b05dd0fde1	oenapi doc (#493 ) * mongo init * perf: mongo connect * docs * fix: select file * format * remove seed * doc format * doc * perf: tts model type * doc * upload time * doc * doc * doc	2023-11-20 13:43:33 +08:00
Ikko Eltociear Ashimine	0df5152202	Docs: Add Japanese README (#455 )	2023-11-20 12:36:50 +08:00
左风	e044d3583d	Docs：update wechat.md (#494 ) * update wechat.md * update wechat.md	2023-11-20 12:36:21 +08:00
				`@@ -0,0 +1 @@`
				<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1700745147176" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="25531" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M551.706122 909.061224c-25.6 0-49.632653-8.359184-65.306122-24.555102-25.6-26.122449-36.571429-70.530612-47.542857-117.028571-6.269388-26.122449-13.583673-55.902041-21.420408-68.963265-20.897959-35.526531-65.828571-54.334694-78.367347-59.036735H266.971429c-25.6 0-47.020408-20.897959-47.020409-47.020408V215.771429c0-25.6 20.897959-47.020408 47.020409-47.020409h67.918367C364.146939 153.6 447.738776 114.938776 543.346939 114.938776h181.812245c29.779592 0 92.473469 10.971429 117.55102 53.289795 23.510204 39.183673 63.216327 344.293878 63.216327 370.416327 0 56.946939-53.812245 101.355102-100.310204 101.355102h-119.640817c-4.179592 0-6.791837 2.089796-7.836734 3.657143-1.044898 1.567347-2.612245 4.179592-2.089796 8.359184 4.179592 20.37551 13.583673 73.665306 6.791836 130.612244-7.314286 57.991837-41.795918 102.922449-92.473469 120.163266-12.016327 4.179592-25.6 6.269388-38.661225 6.269387z" fill="#16C4AF" p-id="25532"></path><path d="M132.179592 623.281633c-10.971429 0-19.853061-8.881633-19.853061-19.853062V196.440816c0-10.971429 8.881633-19.853061 19.853061-19.853061s19.853061 8.881633 19.853061 19.853061v406.987755c0 10.971429-8.881633 19.853061-19.853061 19.853062z" fill="#16C4AF" p-id="25533"></path></svg>