fix: simple bot dataset load error (#1764)

* feat: docker-compose version

* feat: chat slider support folder

* lazy behavior

* pref: code sandbox size

.github/ISSUE_TEMPLATE/bugs.md

@@ -21,7 +21,7 @@ assignees: ''
 - [ ] 公有云版本
 - [ ] 私有部署版本, 具体版本号: 
 
-**问题描述**
+**问题描述, 日志截图**
 
 **复现步骤**
 

.github/workflows/build-sandbox-image.yml

@@ -0,0 +1,108 @@
+name: Build fastgpt-sandbox images and copy image to docker hub
+on:
+  workflow_dispatch:
+  push:
+    paths:
+      - 'projects/sandbox/**'
+    tags:
+      - 'v*'
+jobs:
+  build-fastgpt-sandbox-images:
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+      - name: Install Dependencies
+        run: |
+          sudo apt update && sudo apt install -y nodejs npm
+      - name: Set up QEMU (optional)
+        uses: docker/setup-qemu-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v2
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GH_PAT }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+          else
+            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:${{ github.ref_name }}" >> $GITHUB_ENV
+          fi
+      - name: Build and publish image for main branch or tag push event
+        env:
+          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+        run: |
+          docker buildx build \
+          -f projects/sandbox/Dockerfile \
+          --platform linux/amd64,linux/arm64 \
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/fastgpt-sandbox" \
+          --label "org.opencontainers.image.description=fastgpt-sandbox image" \
+          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${DOCKER_REPO_TAGGED} \
+          .
+  push-to-ali-hub:
+    needs: build-fastgpt-sandbox-images
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - name: Login to Ali Hub
+        uses: docker/login-action@v2
+        with:
+          registry: registry.cn-hangzhou.aliyuncs.com
+          username: ${{ secrets.ALI_HUB_USERNAME }}
+          password: ${{ secrets.ALI_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "IMAGE_TAG=latest" >> $GITHUB_ENV
+          else
+            echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
+          fi
+      - name: Pull image from GitHub Container Registry
+        run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:${{env.IMAGE_TAG}}
+      - name: Tag image with Docker Hub repository name and version tag
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:${{env.IMAGE_TAG}}
+      - name: Push image to Docker Hub
+        run: docker push ${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:${{env.IMAGE_TAG}}
+  push-to-docker-hub:
+    needs: build-fastgpt-sandbox-images
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKER_HUB_NAME }}
+          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "IMAGE_TAG=latest" >> $GITHUB_ENV
+          else
+            echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
+          fi
+      - name: Pull image from GitHub Container Registry
+        run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:${{env.IMAGE_TAG}}
+      - name: Tag image with Docker Hub repository name and version tag
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:${{env.IMAGE_TAG}}
+      - name: Push image to Docker Hub
+        run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:${{env.IMAGE_TAG}}

.github/workflows/docs-deploy-vercel.yml

@@ -47,7 +47,7 @@ jobs:
 
       - name: Add cdn for images
         run: |
-          sed -i "s#\](/imgs/#\](https://cdn.jsdelivr.net/gh/yangchuansheng/fastgpt-imgs@main/imgs/#g" $(grep -rl "\](/imgs/" docSite/content/docs)
+          sed -i "s#\](/imgs/#\](https://cdn.jsdelivr.net/gh/yangchuansheng/fastgpt-imgs@main/imgs/#g" $(grep -rl "\](/imgs/" docSite/content/zh-cn/docs)
 
       # Step 3 - Install Hugo (specific version)
       - name: Install Hugo

.github/workflows/docs-preview.yml

@@ -47,7 +47,7 @@ jobs:
 
       - name: Add cdn for images
         run: |
-          sed -i "s#\](/imgs/#\](https://cdn.jsdelivr.net/gh/yangchuansheng/fastgpt-imgs@main/imgs/#g" $(grep -rl "\](/imgs/" docSite/content/docs)
+          sed -i "s#\](/imgs/#\](https://cdn.jsdelivr.net/gh/yangchuansheng/fastgpt-imgs@main/imgs/#g" $(grep -rl "\](/imgs/" docSite/content/zh-cn/docs)
 
       # Step 3 - Install Hugo (specific version)
       - name: Install Hugo

.github/workflows/fastgpt-image.yml

@@ -6,7 +6,7 @@ on:
       - 'projects/app/**'
       - 'packages/**'
     tags:
-      - 'v*.*.*'
+      - 'v*'
 jobs:
   build-fastgpt-images:
     runs-on: ubuntu-20.04
@@ -49,7 +49,7 @@ jobs:
           DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
         run: |
           docker buildx build \
-          --build-arg name=app \
+          -f projects/app/Dockerfile \
           --platform linux/amd64,linux/arm64 \
           --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
           --label "org.opencontainers.image.description=fastgpt image" \
@@ -57,7 +57,6 @@ jobs:
           --cache-from=type=local,src=/tmp/.buildx-cache \
           --cache-to=type=local,dest=/tmp/.buildx-cache \
           -t ${DOCKER_REPO_TAGGED} \
-          -f Dockerfile \
           .
   push-to-docker-hub:
     needs: build-fastgpt-images
@@ -81,9 +80,9 @@ jobs:
       - name: Pull image from GitHub Container Registry
         run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
       - name: Tag image with Docker Hub repository name and version tag
-        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:${{env.IMAGE_TAG}}
       - name: Push image to Docker Hub
-        run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+        run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:${{env.IMAGE_TAG}}
   push-to-ali-hub:
     needs: build-fastgpt-images
     if: github.repository == 'labring/FastGPT'
@@ -107,6 +106,6 @@ jobs:
       - name: Pull image from GitHub Container Registry
         run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
       - name: Tag image with Docker Hub repository name and version tag
-        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}/fastgpt:${{env.IMAGE_TAG}}
       - name: Push image to Docker Hub
-        run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+        run: docker push ${{ secrets.ALI_IMAGE_NAME }}/fastgpt:${{env.IMAGE_TAG}}

.github/workflows/preview-image.yml

@@ -4,8 +4,6 @@ on:
     paths:
       - 'projects/app/**'
       - 'packages/**'
-    branches:
-      - 'main'
   workflow_dispatch:
 
 jobs:
@@ -44,15 +42,14 @@ jobs:
           DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
         run: |
           docker buildx build \
-          --build-arg name=app \
-          --label "org.opencontainers.image.source=  https://github.com/  ${{ github.repository_owner }}/FastGPT" \
-          --label "org.opencontainers.image.description=fastgpt-pr image" \
+          -f projects/app/Dockerfile \
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
+          --label "org.opencontainers.image.description=fastgpt-pr imae" \
           --label "org.opencontainers.image.licenses=Apache" \
           --push \
           --cache-from=type=local,src=/tmp/.buildx-cache \
           --cache-to=type=local,dest=/tmp/.buildx-cache \
           -t ${DOCKER_REPO_TAGGED} \
-          -f Dockerfile \
           .
 
   helm-check:

.npmrc

@@ -0,0 +1,2 @@
+public-hoist-pattern[]=*tiktoken*
+public-hoist-pattern[]=*@zilliz/milvus2-sdk-node*

.vscode/i18n-ally-custom-framework.yml

@@ -0,0 +1,46 @@
+# .vscode/i18n-ally-custom-framework.yml
+
+# An array of strings which contain Language Ids defined by VS Code
+# You can check available language ids here: https://code.visualstudio.com/docs/languages/identifiers
+languageIds:
+  - javascript
+  - typescript
+  - javascriptreact
+  - typescriptreact
+
+# An array of RegExes to find the key usage. **The key should be captured in the first match group**.
+# You should unescape RegEx strings in order to fit in the YAML file
+# To help with this, you can use https://www.freeformatter.com/json-escape.html
+usageMatchRegex:
+  # The following example shows how to detect `t("your.i18n.keys")`
+  # the `{key}` will be placed by a proper keypath matching regex,
+  # you can ignore it and use your own matching rules as well
+  - "[^\\w\\d]t\\(['\"`]({key})['\"`]"
+  - "[^\\w\\d]commonT\\(['\"`]({key})['\"`]"
+  # 支持 appT("your.i18n.keys")
+  - "[^\\w\\d]appT\\(['\"`]({key})['\"`]"
+  # 支持 datasetT("your.i18n.keys")
+  - "[^\\w\\d]datasetT\\(['\"`]({key})['\"`]"
+  - "[^\\w\\d]fileT\\(['\"`]({key})['\"`]"
+  - "[^\\w\\d]publishT\\(['\"`]({key})['\"`]"
+  - "[^\\w\\d]workflowT\\(['\"`]({key})['\"`]"
+  - "[^\\w\\d]userT\\(['\"`]({key})['\"`]"
+  - "[^\\w\\d]chatT\\(['\"`]({key})['\"`]"
+
+# A RegEx to set a custom scope range. This scope will be used as a prefix when detecting keys
+# and works like how the i18next framework identifies the namespace scope from the
+# useTranslation() hook.
+# You should unescape RegEx strings in order to fit in the YAML file
+# To help with this, you can use https://www.freeformatter.com/json-escape.html
+scopeRangeRegex: "useTranslation\\(\\s*\\[?\\s*['\"`](.*?)['\"`]"
+
+# An array of strings containing refactor templates.
+# The "$1" will be replaced by the keypath specified.
+# Optional: uncomment the following two lines to use
+
+# refactorTemplates:
+#  - i18n.get("$1")
+
+
+# If set to true, only enables this custom framework (will disable all built-in frameworks)
+monopoly: true

.vscode/nextapi.code-snippets

@@ -0,0 +1,54 @@
+{
+	// Place your FastGPT 工作区 snippets here. Each snippet is defined under a snippet name and has a scope, prefix, body and 
+	// description. Add comma separated ids of the languages where the snippet is applicable in the scope field. If scope 
+	// is left empty or omitted, the snippet gets applied to all languages. The prefix is what is 
+	// used to trigger the snippet and the body will be expanded and inserted. Possible variables are: 
+	// $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders. 
+	// Placeholders with the same ids are connected.
+	// Example:
+	"Next api template": {
+		"scope": "javascript,typescript",
+		"prefix": "nextapi",
+		"body": [
+			"import type { ApiRequestProps, ApiResponseType } from '@fastgpt/service/type/next';",
+			"import { NextAPI } from '@/service/middleware/entry';",
+			"",
+			"export type ${TM_FILENAME_BASE}Query = {};",
+			"",
+			"export type ${TM_FILENAME_BASE}Body = {};",
+			"",
+			"export type ${TM_FILENAME_BASE}Response = {};",
+			"",
+			"async function handler(",
+			"  req: ApiRequestProps<${TM_FILENAME_BASE}Body, ${TM_FILENAME_BASE}Query>,",
+			"  res: ApiResponseType<any>",
+			"): Promise<${TM_FILENAME_BASE}Response> {",
+			"    $1",
+			"    return {}",
+			"}",
+			"",
+			"export default NextAPI(handler);"
+		],
+		"description": "FastGPT Next API template"
+	},
+	"use context template": {
+		"scope": "typescriptreact",
+		"prefix": "context",
+		"body": [
+			"import React, { ReactNode } from 'react';",
+			"import { createContext } from 'use-context-selector';",
+			"",
+			"type ContextType = {$1};",
+			"",
+			"export const Context = createContext<ContextType>({});",
+			"",
+			"const ContextProvider = ({ children }: { children: ReactNode }) => {",
+			"  const contextValue: ContextType = {};",
+			"  return <Context.Provider value={contextValue}>{children}</Context.Provider>;",
+			"};",
+			"",
+			"export default ContextProvider"
+		],
+		"description": "FastGPT usecontext template"
+	}
+}

.vscode/settings.json

@@ -4,12 +4,13 @@
     "typescript.tsdk": "node_modules/typescript/lib",
     "prettier.prettierPath": "",
     "i18n-ally.localesPaths": [
-        "projects/app/public/locales",
+        "projects/app/i18n",
     ],
-    "i18n-ally.enabledParsers": ["json"],
+    "i18n-ally.enabledParsers": ["json", "yaml", "js", "ts"],
     "i18n-ally.keystyle": "nested",
     "i18n-ally.sortKeys": true,
-    "i18n-ally.keepFulfilled": true,
+    "i18n-ally.keepFulfilled": false,
     "i18n-ally.sourceLanguage": "zh", // 根据此语言文件翻译其他语言文件的变量和内容
     "i18n-ally.displayLanguage": "zh", // 显示语言
+    "i18n-ally.extract.targetPickingStrategy": "most-similar-by-key"
 }

Makefile

@@ -0,0 +1,25 @@
+# 定义默认变量
+proxy=null
+image=null
+
+# 定义目标
+.PHONY: build
+
+# 检查 target 是否定义
+ifndef name
+$(error name is not defined)
+endif
+
+filePath=./projects/$(name)/Dockerfile
+
+dev:
+	pnpm --prefix ./projects/$(name) dev
+
+build:
+ifeq ($(proxy), taobao)
+	docker build -f $(filePath) -t $(image) . --build-arg proxy=taobao 
+else ifeq ($(proxy), clash)
+	docker build -f $(filePath) -t $(image) . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
+else
+	docker build -f $(filePath) -t $(image) .
+endif

README.md

@@ -52,11 +52,10 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
 `1` 应用编排能力
    - [x] 提供简易模式，无需操作编排
    - [x] 工作流编排
-   - [x] 源文件引用追踪
-   - [x] 模块封装，实现多级复用
-   - [x] Tool 模块
-   - [ ] 嵌入 [Laf](https://github.com/labring/laf)，实现在线编写 HTTP 模块。初版已完成。
-   - [ ] 插件封装功能，支持低代码渲染
+   - [x] 工具调用
+   - [x] 插件 - 工作流封装能力
+   - [x] Code sandbox
+   - [ ] 循环调用
 
 `2` 知识库能力
    - [x] 多库复用，混用
@@ -66,15 +65,14 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
    - [x] 支持 txt，md，html，pdf，docx，pptx，csv，xlsx (有需要更多可 PR file loader)
    - [x] 支持 url 读取、CSV 批量导入
    - [x] 混合检索 & 重排
-   - [ ] 支持文件阅读器
-   - [ ] 更多的数据预处理方案
+   - [ ] 标签过滤
   
 `3` 应用调试能力
    - [x] 知识库单点搜索测试
    - [x] 对话时反馈引用并可修改与删除
    - [x] 完整上下文呈现
    - [x] 完整模块中间值呈现
-   - [ ] 高级编排 DeBug 模式
+   - [x] 高级编排 DeBug 模式
   
 `4` OpenAPI 接口
    - [x] completions 接口 (chat 模式对齐 GPT 接口)
@@ -89,6 +87,8 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
    
 `6` 其他
    - [x] 支持语音输入和输出 (可配置语音输入语音回答)
+   - [x] 模糊输入提示
+   - [ ] 模板市场
 
 <a href="#readme">
     <img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
@@ -122,7 +122,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
 
 wx 扫一下加入：
 
-![](https://oss.laf.run/cofxat-test/fastgpt-qr-code2.jpg)
+![](https://oss.laf.run/htr4n1-images/wechat-qr-code.jpg)
 
 <a href="#readme">
     <img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">

README_en.md

@@ -10,28 +10,31 @@
   <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!
+FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration. 
 
 </div>
 
 <p align="center">
   <a href="https://fastgpt.in/">
-    <img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
+    <img height="21" src="https://img.shields.io/badge/Try it Online-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
   </a>
   <a href="https://doc.fastgpt.in/docs/intro">
-    <img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
+    <img height="21" src="https://img.shields.io/badge/Documents-7d09f1?style=flat-square" alt="document">
   </a>
   <a href="https://doc.fastgpt.in/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">
+    <img height="21" src="https://img.shields.io/badge/Local Development-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
   </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>
 
+<div align="center">
+
+  [![discord](https://theme.zdassets.com/theme_assets/678183/cc59daa07820943e943c2fc283b9079d7003ff76.svg)](https://discord.gg/mp68xkZn2Q)
+  
+</div>
+
 https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
 
 ## 🛸 Use Cloud Services
@@ -117,11 +120,11 @@ Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
 - [Version Updates & Upgrades](https://doc.fastgpt.in/docs/installation/upgrading)
 
 
-## 🏘️ Community
+## 🏘️ Community & support
 
-| Community Group                                   | 
-| ------------------------------------------------- | 
-| ![](https://oss.laf.run/htr4n1-images/fastgpt-qr-code.jpg) | 
++ 🌐 Visit the [FastGPT website](https://fastgpt.in/) for full documentation and useful links.
++ 💬 Join our [Discord server](https://discord.gg/mp68xkZn2Q) is to chat with FastGPT developers and other FastGPT users. This is a good place to learn about FastGPT, ask questions, and share your experiences.
++ 🐞 Create [GitHub Issues](https://github.com/labring/FastGPT/issues/new/choose) for bug reports and feature requests.
 
 <a href="#readme">
     <img src="https://img.shields.io/badge/-Back_to_Top-7d09f1.svg" alt="#" align="right">

dev.md

@@ -1,17 +1,40 @@
-# 打包命令
+## Premise
+
+Since FastGPT is managed in the same way as monorepo, it is recommended to install 'make' first during development.
+
+monorepo Project Name:
+
+- app: main project
+-......
+
+## Dev
 
 ```sh
-# Build image, not proxy
-docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.4.7 --build-arg name=app .
+# Give automatic script code execution permission (on non-Linux systems, you can manually execute the postinstall.sh file content)
+chmod -R +x ./scripts/
+# Executing under the code root directory installs all dependencies within the root package, projects, and packages
+pnpm i
 
-# build image with proxy
-docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.4.7 --build-arg name=app --build-arg proxy=taobao .
+# Not make cmd
+cd projects/app
+pnpm dev
+
+# Make cmd
+make dev name=app
 ```
 
-# Pg 常用索引
 
-```sql
-CREATE INDEX IF NOT EXISTS modelData_dataset_id_index ON modeldata (dataset_id);
-CREATE INDEX IF NOT EXISTS modelData_collection_id_index ON modeldata (collection_id);
-CREATE INDEX IF NOT EXISTS modelData_teamId_index ON modeldata (team_id);
-```
+## Build
+
+```sh
+# Docker cmd: Build image, not proxy
+docker build -f ./projects/app/Dockerfile -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 . --build-arg name=app
+# Make cmd: Build image, not proxy
+make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1
+
+# Docker cmd: Build image with proxy
+docker build -f ./projects/app/Dockerfile -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 . --build-arg name=app --build-arg proxy=taobao
+# Make cmd: Build image with proxy
+make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 proxy=taobao
+```
+

docSite/assets/docs/scss/custom/pages/_custom.scss

@@ -1,3 +1,16 @@
+:root {
+    --code-bg: rgba(0, 0, 0, 0.03);
+	--code-color: rgba(14, 116, 144, 0.95);
+	--inline-code-border: 0.5px solid var(--gray-400);
+
+}
+
+[data-dark-mode] {
+    --code-bg: hsla(0, 2%, 14%, 1);
+	--code-color: #f3f4f6ed;
+	--inline-code-border: 0.5px solid var(--gray-600);
+}
+
 #content {
 	font-family: JetBrains Mono, LXGW WenKai Screen, -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Helvetica Neue", "Ubuntu";
 }
@@ -62,11 +75,33 @@ div.code-toolbar {
     z-index: 1;
 }
 
+.docs-content .main-content pre code {
+	padding: 0 2.5rem 1.25rem .9rem;
+  }
+
+.docs-content .main-content code {
+	font-size: .875em;
+	padding: 1px 2px;
+	background: var(--code-bg);
+	border: var(--inline-code-border);
+	padding-top: 3px;
+	padding-bottom: 3px;
+	padding-left: 5px;
+	padding-right: 5px;
+	border-radius: .25rem;
+	color: var(--code-color);
+}
+
 li p {
     margin-top: 1rem !important;
     margin-bottom: 1rem;
 }
 
+.docs-content .main-content ul > li {
+    margin-top: .3rem !important;
+    margin-bottom: .3rem;
+}
+
 footer {
 	height: 118px !important;
 }

docSite/assets/docs/scss/custom/plugins/prism/themes/_lotusdocs.scss

@@ -0,0 +1,178 @@
+ /**
+ * Lotus Docs theme
+ *
+ * Adapted from a theme based on:
+ * https://github.com/chriskempson/tomorrow-theme
+ *
+ * @author Colin Wilson <github.com/colinwilson>
+ * @version 1.0
+ */
+
+ :root {
+    --prism-code-bg: #faf9f8;
+    --prism-code-scrollbar-thumb-color: var(--gray-400);
+    --prism-color: #333;
+    --prism-bg: #f0f0f0;
+    --prism-highlight-bg: var(--blue-200);
+    --prism-copy-bg: var(--gray-500);
+    --prism-copy-hover-bg: var(--gray-700);
+    --prism-copy-success-bg: var(--emerald-500);
+    --prism-token-punctuation: #666;
+    --prism-token-deleted: #2b6cb0;
+    --prism-token-function-name: #3182bd;
+    --prism-token-function: #c53030;
+    --prism-token-number: var(--cardinal-600);
+    --prism-token-symbol: #333;
+    --prism-token-builtin: #1a202c;
+    --prism-token-regex: #2f855a;
+    --prism-token-variable: var(--yellow-700);
+    --prism-token-url: #4fd1c5;
+    --prism-token-inserted: #38a169;
+}
+
+[data-dark-mode] {
+    --prism-code-bg: var(--gray-900);
+    --prism-code-scrollbar-thumb-color: var(--gray-600);
+    --prism-color: #f5fbff;
+    --prism-bg: #32325d;
+    --prism-highlight-bg: var(--blue-400);
+    --prism-copy-bg: var(--gray-400);
+    --prism-copy-hover-bg: var(--white);
+    --prism-copy-success-bg: var(--emerald-200);
+    --prism-token-punctuation: #ccc;
+    --prism-token-deleted: #7fd3ed;
+    --prism-token-function-name: #6196cc;
+    --prism-token-function: #fda3f3;
+    --prism-token-number: var(--cardinal-200);
+    --prism-token-symbol: #ffffff;
+    --prism-token-builtin: #a4cdfe;
+    --prism-token-regex: #7ec699;
+    --prism-token-variable: var(--yellow-100);
+    --prism-token-url: #67cdcc;
+    --prism-token-inserted: green;
+}
+
+ code[class*="language-"],
+ pre[class*="language-"] {
+     color: var(--prism-color) !important;
+     background: var(--prism-code-bg) !important;
+ }
+
+/* Code blocks */
+pre[class*="language-"] {
+    // padding: 1em;
+    // margin: .5em 0;
+    overflow: auto;
+    border-radius: 0 0 4px 4px;
+}
+
+:not(pre) > code[class*="language-"],
+pre[class*="language-"] {
+    background: var(--prism-bg);
+}
+
+/* Inline code */
+:not(pre) > code[class*="language-"] {
+    padding: .1em;
+    border-radius: .3em;
+    white-space: normal;
+}
+
+.line-highlight:before,
+.line-highlight[data-end]:after {
+    background-color: var(--prism-highlight-bg);
+}
+
+[data-copy-state="copy"] span:empty::before {
+    background-color: var(--prism-copy-bg);
+}
+
+[data-copy-state="copy"] span:empty:hover::before {
+    background-color: var(--prism-copy-hover-bg);
+}
+
+[data-copy-state="copy-success"] span:empty::before {
+    background-color: var(--prism-copy-success-bg);
+}
+
+.token.comment,
+.token.block-comment,
+.token.prolog,
+.token.doctype,
+.token.cdata {
+    color: #999;
+}
+
+.token.punctuation {
+    color: var(--prism-token-punctuation);
+}
+
+.token.tag,
+.token.attr-name,
+.token.namespace,
+.token.deleted {
+    color: var(--prism-token-deleted);
+}
+
+.token.function-name {
+    color: var(--prism-token-function-name);
+}
+
+.token.boolean,
+.token.function {
+    color: var(--prism-token-function);
+}
+
+.token.number {
+    color: var(--prism-token-number);
+}
+
+.token.property,
+.token.class-name,
+.token.constant,
+.token.symbol {
+    color: var(--prism-token-symbol);
+    font-weight: 700;
+}
+
+.token.selector,
+.token.important,
+.token.atrule,
+.token.keyword,
+.token.builtin {
+    color: var(--prism-token-builtin);
+    font-weight: 700;
+}
+
+.token.string,
+.token.char,
+.token.attr-value,
+.token.regex {
+    color: var(--prism-token-regex);
+}
+
+.token.variable {
+    color: var(--prism-token-variable);
+}
+
+.token.operator,
+.token.entity,
+.token.url {
+    color: var(--prism-token-url);
+}
+
+.token.important,
+.token.bold {
+    font-weight: bold;
+}
+.token.italic {
+    font-style: italic;
+}
+
+.token.entity {
+    cursor: help;
+}
+
+.token.inserted {
+    color: var(--prism-token-inserted);
+}

docSite/content/docs/pricing.md

@@ -1,10 +0,0 @@
----
-title: '线上版定价'
-description: 'FastGPT 线上版定价'
-icon: 'currency_yen'
-draft: false
-toc: true
-weight: 1200
----
-
-线上版价格请查看：https://cloud.fastgpt.in/price

docSite/content/docs/workflow/examples/dalle3.md

@@ -1,517 +0,0 @@
----
-title: 'Dalle3 绘图'
-description: '使用 HTTP 模块绘制图片'
-icon: 'image'
-draft: false
-toc: true
-weight: 404
----
-
-|                       |                       |
-| --------------------- | --------------------- |
-| ![](/imgs/demo-dalle1.png) | ![](/imgs/demo-dalle2.webp) |
-
-## OpenAI Dalle3 接口
-
-先来看下官方接口的参数和响应值：
-
-Body
-
-```json
-{
-    "model": "dall-e-3",
-    "prompt": "A cute baby sea otter",
-    "n": 1,
-    "size": "1024x1024"
-}
-```
-
-Response 
-
-```json
-{
-  "created": 1589478378,
-  "data": [
-    {
-      "url": "https://..."
-    },
-    {
-      "url": "https://..."
-    }
-  ]
-}
-```
-
-## 编排思路
-
-1. 通过 AI 来优化图片绘制的提示词（这部省略了，自己找提示词即可）
-2. 通过`HTTP 模块`调用 Dalle3 接口，获取图片的 URL。
-3. 通过`文本加工`来构建`Markdown`的图片格式。
-4. 通过`指定回复`来直接输出图片链接。
-
-### 1. 构建 HTTP 模块
-
-请求参数直接复制 Dalle3 接口的即可，并求改 prompt 为变量。需要增加一个`Headers.Authorization`。
-
-Body:
-
-```json
-{
-    "model": "dall-e-3",
-    "prompt": "{{prompt}}",
-    "n": 1,
-    "size": "1024x1024"
-}
-```
-
-Headers:
-
-`Authorization: Bearer sk-xxx`
-
-Response:
-
-响应值需要根据Dalle3接口的返回值进行获取，我们只绘制了1张图片，所以只需要取第一张图片的URL即可。给 HTTP 模块增加一个`key`为`data[0].url`的输出值。
-
-### 2. 文本加工 - 构建图片链接
-
-在`Markdown`语法中`![图片描述](图片链接)`表示插入图片，图片链接由`HTTP模块`输出。
-
-因此可以增加一个输入来接收`HTTP模块`的图片链接输出，并在`文本内容`中通过变量来引用图片链接，从而得到一个完整的`Markdown`图片格式。
-
-### 3. 指定回复
-
-指定回复可以直接输出传入的内容到客户端，因此可以直接输出加工好的`Markdown`图片格式即可。
-
-## 编排代码
-
-```json
-[
-  {
-    "moduleId": "userGuide",
-    "name": "core.module.template.App system setting",
-    "flowType": "userGuide",
-    "position": {
-      "x": 454.98510354678695,
-      "y": 721.4016845336229
-    },
-    "inputs": [
-      {
-        "key": "welcomeText",
-        "type": "hidden",
-        "valueType": "string",
-        "label": "core.app.Welcome Text",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "variables",
-        "type": "hidden",
-        "valueType": "any",
-        "label": "core.module.Variable",
-        "value": [],
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "questionGuide",
-        "valueType": "boolean",
-        "type": "switch",
-        "label": "",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "tts",
-        "type": "hidden",
-        "valueType": "any",
-        "label": "",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      }
-    ],
-    "outputs": []
-  },
-  {
-    "moduleId": "userChatInput",
-    "name": "core.module.template.Chat entrance",
-    "flowType": "questionInput",
-    "position": {
-      "x": 597.8136543694757,
-      "y": 1709.9244174501202
-    },
-    "inputs": [
-      {
-        "key": "userChatInput",
-        "type": "systemInput",
-        "valueType": "string",
-        "label": "core.module.input.label.user question",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      }
-    ],
-    "outputs": [
-      {
-        "key": "userChatInput",
-        "label": "core.module.input.label.user question",
-        "type": "source",
-        "valueType": "string",
-        "targets": [
-          {
-            "moduleId": "mqgfub",
-            "key": "prompt"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "mqgfub",
-    "name": "Dalle3绘图",
-    "flowType": "httpRequest468",
-    "showStatus": true,
-    "position": {
-      "x": 1071.8956245626034,
-      "y": 1236.690825267034
-    },
-    "inputs": [
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "core.module.input.label.switch",
-        "description": "core.module.input.description.Trigger",
-        "valueType": "any",
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": false
-      },
-      {
-        "key": "system_httpMethod",
-        "type": "custom",
-        "valueType": "string",
-        "label": "",
-        "value": "POST",
-        "required": true,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "system_httpReqUrl",
-        "type": "hidden",
-        "valueType": "string",
-        "label": "",
-        "description": "core.module.input.description.Http Request Url",
-        "placeholder": "https://api.ai.com/getInventory",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "value": "https://api.openai.com/v1/images/generations",
-        "connected": false
-      },
-      {
-        "key": "system_httpHeader",
-        "type": "custom",
-        "valueType": "any",
-        "value": [
-          {
-            "key": "Authorization",
-            "type": "string",
-            "value": "sk-xxx"
-          }
-        ],
-        "label": "",
-        "description": "core.module.input.description.Http Request Header",
-        "placeholder": "core.module.input.description.Http Request Header",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "system_httpParams",
-        "type": "hidden",
-        "valueType": "any",
-        "value": [],
-        "label": "",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "system_httpJsonBody",
-        "type": "hidden",
-        "valueType": "any",
-        "value": "{\r\n    \"model\": \"dall-e-3\",\r\n    \"prompt\": \"{{prompt}}\",\r\n    \"n\": 1,\r\n    \"size\": \"1024x1024\"\r\n  }",
-        "label": "",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "DYNAMIC_INPUT_KEY",
-        "type": "target",
-        "valueType": "any",
-        "label": "core.module.inputType.dynamicTargetInput",
-        "description": "core.module.input.description.dynamic input",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": true,
-        "hideInApp": true,
-        "connected": false
-      },
-      {
-        "key": "prompt",
-        "valueType": "string",
-        "label": "prompt",
-        "type": "target",
-        "required": true,
-        "description": "",
-        "edit": true,
-        "editField": {
-          "key": true,
-          "name": true,
-          "description": true,
-          "required": true,
-          "dataType": true
-        },
-        "connected": true
-      },
-      {
-        "key": "system_addInputParam",
-        "type": "addInputParam",
-        "valueType": "any",
-        "label": "",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "editField": {
-          "key": true,
-          "name": true,
-          "description": true,
-          "required": true,
-          "dataType": true
-        },
-        "defaultEditField": {
-          "label": "",
-          "key": "",
-          "description": "",
-          "inputType": "target",
-          "valueType": "string",
-          "required": true
-        },
-        "connected": false
-      }
-    ],
-    "outputs": [
-      {
-        "key": "finish",
-        "label": "core.module.output.label.running done",
-        "description": "core.module.output.description.running done",
-        "valueType": "boolean",
-        "type": "source",
-        "targets": []
-      },
-      {
-        "key": "system_addOutputParam",
-        "type": "addOutputParam",
-        "valueType": "any",
-        "label": "",
-        "targets": [],
-        "editField": {
-          "key": true,
-          "name": true,
-          "description": true,
-          "dataType": true
-        },
-        "defaultEditField": {
-          "label": "",
-          "key": "",
-          "description": "",
-          "outputType": "source",
-          "valueType": "string"
-        }
-      },
-      {
-        "type": "source",
-        "valueType": "string",
-        "key": "data[0].url",
-        "label": "url",
-        "description": "",
-        "edit": true,
-        "editField": {
-          "key": true,
-          "name": true,
-          "description": true,
-          "dataType": true
-        },
-        "targets": [
-          {
-            "moduleId": "nl6mr9",
-            "key": "url"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "xy76o2",
-    "name": "core.module.template.Assigned reply",
-    "flowType": "answerNode",
-    "position": {
-      "x": 2204.027057268489,
-      "y": 1256.786345213533
-    },
-    "inputs": [
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "core.module.input.label.switch",
-        "description": "core.module.input.description.Trigger",
-        "valueType": "any",
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": false
-      },
-      {
-        "key": "text",
-        "type": "textarea",
-        "valueType": "any",
-        "label": "core.module.input.label.Response content",
-        "description": "core.module.input.description.Response content",
-        "placeholder": "core.module.input.description.Response content",
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "finish",
-        "label": "core.module.output.label.running done",
-        "description": "core.module.output.description.running done",
-        "valueType": "boolean",
-        "type": "source",
-        "targets": []
-      }
-    ]
-  },
-  {
-    "moduleId": "nl6mr9",
-    "name": "core.module.template.textEditor",
-    "flowType": "pluginModule",
-    "showStatus": false,
-    "position": {
-      "x": 1690.1826860670342,
-      "y": 1262.3858719789062
-    },
-    "inputs": [
-      {
-        "key": "pluginId",
-        "type": "hidden",
-        "label": "",
-        "value": "community-textEditor",
-        "valueType": "string",
-        "connected": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false
-      },
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "core.module.input.label.switch",
-        "description": "core.module.input.description.Trigger",
-        "valueType": "any",
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": false
-      },
-      {
-        "key": "textarea",
-        "valueType": "string",
-        "label": "文本内容",
-        "type": "textarea",
-        "required": true,
-        "description": "可以通过 {{key}} 的方式引用传入的变量。变量仅支持字符串或数字。",
-        "edit": false,
-        "editField": {
-          "key": true,
-          "name": true,
-          "description": true,
-          "required": true,
-          "dataType": true,
-          "inputType": true
-        },
-        "connected": false,
-        "placeholder": "可以通过 {{key}} 的方式引用传入的变量。变量仅支持字符串或数字。",
-        "value": "![]({{url}})"
-      },
-      {
-        "key": "url",
-        "valueType": "string",
-        "label": "url",
-        "type": "target",
-        "required": true,
-        "description": "",
-        "edit": true,
-        "editField": {
-          "key": true,
-          "name": true,
-          "description": true,
-          "required": true,
-          "dataType": true,
-          "inputType": false
-        },
-        "connected": true
-      },
-      {
-        "key": "DYNAMIC_INPUT_KEY",
-        "valueType": "any",
-        "label": "需要加工的输入",
-        "type": "addInputParam",
-        "required": false,
-        "description": "可动态的添加字符串类型变量，在文本编辑中通过 {{key}} 使用变量。非字符串类型，会自动转成字符串类型。",
-        "edit": false,
-        "editField": {
-          "key": true,
-          "name": true,
-          "description": true,
-          "required": true,
-          "dataType": true,
-          "inputType": false
-        },
-        "defaultEditField": {
-          "label": "",
-          "key": "",
-          "description": "",
-          "inputType": "target",
-          "valueType": "string",
-          "required": true
-        },
-        "connected": false
-      }
-    ],
-    "outputs": [
-      {
-        "key": "text",
-        "valueType": "string",
-        "label": "core.module.output.label.text",
-        "type": "source",
-        "edit": false,
-        "targets": [
-          {
-            "moduleId": "xy76o2",
-            "key": "text"
-          }
-        ]
-      }
-    ]
-  }
-]
-```

docSite/content/docs/workflow/examples/fixingEvidence.md

@@ -1,339 +0,0 @@
----
-title: '固定开头和结尾内容'
-description: '利用指定回复，创建固定的开头和结尾'
-icon: 'healing'
-draft: false
-toc: true
-weight: 401
----
-
-![](/imgs/demo-fix-evidence1.png)
-
-![](/imgs/demo-fix-evidence2.png)
-
-
-如上图，可以通过指定回复编排一个固定的开头和结尾内容。
-
-## 模块编排
-
-复制下面配置，点击「高级编排」右上角的导入按键，导入该配置。
-
-{{% details title="编排配置" closed="true" %}}
-
-```json
-[
-  {
-    "moduleId": "userChatInput",
-    "name": "用户问题(对话入口)",
-    "flowType": "questionInput",
-    "position": {
-      "x": 59.03170043915989,
-      "y": 1604.8595605938747
-    },
-    "inputs": [
-      {
-        "key": "userChatInput",
-        "type": "systemInput",
-        "label": "用户问题",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "userChatInput",
-        "label": "用户问题",
-        "type": "source",
-        "valueType": "string",
-        "targets": [
-          {
-            "moduleId": "chatModule",
-            "key": "userChatInput"
-          },
-          {
-            "moduleId": "ymqh0t",
-            "key": "switch"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "history",
-    "name": "聊天记录",
-    "flowType": "historyNode",
-    "position": {
-      "x": 38.19233923987295,
-      "y": 1184.4581738905642
-    },
-    "inputs": [
-      {
-        "key": "maxContext",
-        "type": "numberInput",
-        "label": "最长记录数",
-        "value": 6,
-        "min": 0,
-        "max": 50,
-        "connected": true
-      },
-      {
-        "key": "history",
-        "type": "hidden",
-        "label": "聊天记录",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "history",
-        "label": "聊天记录",
-        "valueType": "chatHistory",
-        "type": "source",
-        "targets": [
-          {
-            "moduleId": "chatModule",
-            "key": "history"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "chatModule",
-    "name": "AI 对话",
-    "flowType": "chatNode",
-    "showStatus": true,
-    "position": {
-      "x": 943.1225685246793,
-      "y": 891.3094521573212
-    },
-    "inputs": [
-      {
-        "key": "model",
-        "type": "custom",
-        "label": "对话模型",
-        "value": "gpt-3.5-turbo",
-        "list": [
-          {
-            "label": "FastGPT-4k",
-            "value": "gpt-3.5-turbo"
-          },
-          {
-            "label": "FastGPT-16k",
-            "value": "gpt-3.5-turbo-16k"
-          },
-          {
-            "label": "文心一言",
-            "value": "ERNIE-Bot"
-          },
-          {
-            "label": "FastGPT-Plus",
-            "value": "gpt-4"
-          },
-          {
-            "label": "glm2(演示娱乐)",
-            "value": "glm2-6b"
-          }
-        ],
-        "connected": true
-      },
-      {
-        "key": "temperature",
-        "type": "slider",
-        "label": "温度",
-        "value": 0,
-        "min": 0,
-        "max": 10,
-        "step": 1,
-        "markList": [
-          {
-            "label": "严谨",
-            "value": 0
-          },
-          {
-            "label": "发散",
-            "value": 10
-          }
-        ],
-        "connected": true
-      },
-      {
-        "key": "maxToken",
-        "type": "custom",
-        "label": "回复上限",
-        "value": 2000,
-        "min": 100,
-        "max": 4000,
-        "step": 50,
-        "markList": [
-          {
-            "label": "100",
-            "value": 100
-          },
-          {
-            "label": "4000",
-            "value": 4000
-          }
-        ],
-        "connected": true
-      },
-      {
-        "key": "systemPrompt",
-        "type": "textarea",
-        "label": "系统提示词",
-        "max": 300,
-        "valueType": "string",
-        "description": "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}}",
-        "placeholder": "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}}",
-        "value": "",
-        "connected": true
-      },
-      {
-        "key": "limitPrompt",
-        "type": "textarea",
-        "valueType": "string",
-        "label": "限定词",
-        "max": 500,
-        "description": "限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。不建议内容太长，会影响上下文，可使用变量，例如 {{language}}。可在文档中找到对应的限定例子",
-        "placeholder": "限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。不建议内容太长，会影响上下文，可使用变量，例如 {{language}}。可在文档中找到对应的限定例子",
-        "value": "",
-        "connected": true
-      },
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "触发器",
-        "valueType": "any",
-        "connected": true
-      },
-      {
-        "key": "quoteQA",
-        "type": "target",
-        "label": "引用内容",
-        "description": "对象数组格式，结构：\n [{q:'问题',a:'回答'}]",
-        "valueType": "datasetQuote",
-        "connected": false
-      },
-      {
-        "key": "history",
-        "type": "target",
-        "label": "聊天记录",
-        "valueType": "chatHistory",
-        "connected": true
-      },
-      {
-        "key": "userChatInput",
-        "type": "target",
-        "label": "用户问题",
-        "required": true,
-        "valueType": "string",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "answerText",
-        "label": "AI回复",
-        "description": "将在 stream 回复完毕后触发",
-        "valueType": "string",
-        "type": "source",
-        "targets": []
-      },
-      {
-        "key": "finish",
-        "label": "回复结束",
-        "description": "AI 回复完成后触发",
-        "valueType": "boolean",
-        "type": "source",
-        "targets": [
-          {
-            "moduleId": "ojeopv",
-            "key": "switch"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "ymqh0t",
-    "name": "指定回复",
-    "flowType": "answerNode",
-    "position": {
-      "x": 435.27459673941917,
-      "y": 1081.9477378716076
-    },
-    "inputs": [
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "触发器",
-        "valueType": "any",
-        "connected": true
-      },
-      {
-        "key": "text",
-        "type": "textarea",
-        "valueType": "string",
-        "value": "这是AI作答：\n\n---\n\n",
-        "label": "回复的内容",
-        "description": "可以使用 \\n 来实现换行。也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",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "finish",
-        "label": "回复结束",
-        "description": "回复完成后触发",
-        "valueType": "boolean",
-        "type": "source",
-        "targets": [
-          {
-            "moduleId": "chatModule",
-            "key": "switch"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "ojeopv",
-    "name": "指定回复",
-    "flowType": "answerNode",
-    "position": {
-      "x": 1573.4540253108476,
-      "y": 1551.9808807287498
-    },
-    "inputs": [
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "触发器",
-        "valueType": "any",
-        "connected": true
-      },
-      {
-        "key": "text",
-        "type": "textarea",
-        "valueType": "string",
-        "value": "\\n\n---\n\n这是固定的结尾",
-        "label": "回复的内容",
-        "description": "可以使用 \\n 来实现换行。也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",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "finish",
-        "label": "回复结束",
-        "description": "回复完成后触发",
-        "valueType": "boolean",
-        "type": "source",
-        "targets": []
-      }
-    ]
-  }
-]
-```
-
-{{% /details %}}
-

docSite/content/docs/workflow/intro.md

@@ -1,104 +0,0 @@
----
-title: "高级编排介绍"
-description: "快速了解 FastGPT 高级编排"
-icon: "circle"
-draft: false
-toc: true
-weight: 301
----
-
-FastGPT 从 V4 版本开始采用新的交互方式来构建 AI 应用。使用了 Flow 节点编排（工作流）的方式来实现复杂工作流，提高可玩性和扩展性。但同时也提高了上手的门槛，有一定开发背景的用户使用起来会比较容易。
-
-[查看视频教程](https://www.bilibili.com/video/BV1aB4y1Z7Hy/?spm_id_from=333.999.list.card_archive.click&vd_source=903c2b09b7412037c2eddc6a8fb9828b)
-
-![](/imgs/flow-intro1.png)
-
-## 什么是节点？
-
-在程序中，节点可以理解为一个个 Function 或者接口。可以理解为它就是一个**步骤**。将多个节点一个个拼接起来，即可一步步的去实现最终的 AI 输出。
-
-如下图，这是一个最简单的 AI 对话。它由用户输入的问题、聊天记录以及 AI 对话节点组成。
-
-![](/imgs/flow-intro2.png)
-
-执行流程如下：
-
-1. 用户输入问题后，会向服务器发送一个请求，并携带问题。从而得到【用户问题】节点的输出。
-2. 根据设置的【最长记录数】来获取数据库中的记录数，从而得到【聊天记录】节点的输出。
-   经过上面两个流程，就得到了左侧两个蓝色点的结果。结果会被注入到右侧的【AI】对话节点。
-3. 【AI 对话】节点根据传入的聊天记录和用户问题，调用对话接口，从而实现回答。（这里的对话结果输出隐藏了起来，默认只要触发了对话节点，就会往客户端输出内容）
-
-### 节点分类
-
-从功能上，节点可以分为 2 类：
-
-1. **系统节点**：用户引导（配置一些对话框信息）、用户问题（流程入口）。
-2. **功能节点**：知识库搜索、AI 对话等剩余节点。（这些节点都有输入和输出，可以自由组合）。
-
-### 节点的组成
-
-每个节点会包含 3 个核心部分：固定参数、外部输入（左边有个圆圈）和输出（右边有个圆圈）。
-
-   ![](/imgs/flow-intro3.png)
-   
-   - 对话模型、温度、回复上限、系统提示词和限定词为固定参数，同时系统提示词和限定词也可以作为外部输入，意味着如果你有输入流向了系统提示词，那么原本填写的内容就会被**覆盖**。
-   - 触发器、引用内容、聊天记录和用户问题则为外部输入，需要从其他节点的输出流入。
-   - 回复结束则为该节点的输出。
-
-## 重点 - 工作流是如何运行的
-
-与单出入口的工作流不同，FastGPT的工作流可以指定**不同的入口**，并且没有**固定的出口**，而是以节点运行结束作为出口，如果在一个轮调用中，所有节点都不再允许，则工作流结束。
-
-不过为了方便阅读，大部分时候，我们仍是设置一个模块作为入口，在工作流中，它被叫做`对话入口`。下面我们来看下，工作流是如何运行的，以及每个节点何时被触发执行。
-
-记住3个**节点可执行**的原则：
-
-1. 仅关心**已连接的**外部输入，即左边的圆圈被连接了参数。
-2. 当**已连接的**内容都被赋值的时候触发。（这个地方经常会遇到，连接了很多根输入线，但是只要有一个输入没有值，这个节点也不会执行）
-3. 可以多个输出连接到一个输入，后续的值会覆盖前面的值。
-
-![](/imgs/workflow_process.png)
-
-### 示例 1：
-
-聊天记录节点会自动执行，因此聊天记录输入会自动赋值。当用户发送问题时，【用户问题】节点会输出值，此时【AI 对话】节点的用户问题输入也会被赋值。两个连接的输入都被赋值后，会执行 【AI 对话】节点。
-
-![](/imgs/flow-intro1.png)
-
-### 例子 2：
-
-下图是一个知识库搜索例子。
-
-1. 历史记录会流入【AI 对话】节点。
-2. 用户的问题会流入【知识库搜索】和【AI 对话】节点，由于【AI 对话】节点的触发器和引用内容还是空，此时不会执行。
-3. 【知识库搜索】节点仅一个外部输入，并且被赋值，开始执行。
-4. 【知识库搜索】结果为空时，“搜索结果不为空”的值为空，不会输出，因此【AI 对话】节点会因为触发器没有赋值而无法执行。而“搜索结果为空”会有输出，流向指定回复的触发器，因此【指定回复】节点进行输出。
-5. 【知识库搜索】结果不为空时，“搜索结果不为空”和“引用内容”都有输出，会流向【AI 对话】，此时【AI 对话】的 4 个外部输入都被赋值，开始执行。
-
-![](/imgs/flow-intro4.png)
-
-## 如何连接节点
-
-1. 为了方便识别不同输入输出的类型，FastGPT 给每个节点的输入输出连接点赋予不同的颜色，你可以把相同颜色的连接点连接起来。其中，灰色代表任意类型，可以随意连接。
-2. 位于左侧的连接点为输入，右侧的为输出，连接只能将一个输入和输出连接起来，不能连接“输入和输入”或者“输出和输出”。
-3. 可以点击连接线中间的 x 来删除连接线。
-4. 可以左键点击选中连接线
-
-## 如何阅读？
-
-1. 建议从左往右阅读。
-2. 从 **用户问题** 节点开始。用户问题节点，代表的是用户发送了一段文本，触发任务开始。
-3. 关注【AI 对话】和【指定回复】节点，这两个节点是输出答案的地方。
-
-## FAQ
-
-### 想合并多个输出结果怎么实现？
-
-1. 文本加工，可以对字符串进行合并。
-2. 知识库搜索合并，可以合并多个知识库搜索结果
-3. 其他结果，无法直接合并，可以考虑传入到`HTTP`节点中进行合并，使用`[Laf](https://laf.run/)`可以快速实现一个无服务器HTTP接口。
-
-### 节点为什么有2个用户问题
-
-左侧的`用户问题`是指该节点所需的输入。右侧的`用户问题`是为了方便后续的连线，输出的值和传入的用户问题一样。
-

docSite/content/docs/workflow/modules/reply.md

@@ -1,32 +0,0 @@
----
-title: "指定回复"
-description: "FastGPT 指定回复模块介绍"
-icon: "reply"
-draft: false
-toc: true
-weight: 359
----
-
-## 特点
-
-- 可重复添加（防止复杂编排时线太乱，重复添加可以更美观）
-- 可手动输入
-- 可外部输入
-- 会输出结果给客户端
-
-制定回复模块通常用户特殊状态回复，当然你也可以像图 2 一样，实现一些比较骚的操作~ 触发逻辑非常简单：
-
-1. 一种是写好回复内容，通过触发器触发。
-2. 一种是不写回复内容，直接由外部输入触发，并回复输入的内容。
-
-{{< figure
-    src="/imgs/specialreply.png"
-    alt=""
-    caption="图 1"
-    >}}
-
-{{< figure
-    src="/imgs/specialreply2.png"
-    alt=""
-    caption="图 2"
-    >}}

docSite/content/docs/workflow/modules/tfswitch.md

@@ -1,62 +0,0 @@
----
-title: "判断器"
-description: "FastGPT 判断器模块介绍"
-icon: "input"
-draft: false
-toc: true
-weight: 362
----
-
-## 特点
-
-- 可重复添加
-- 有外部输入
-- 触发执行
-
-![](/imgs/judgement1.png)
-
-## 功能
-
-对任意输入内容进行 True False 输出，默认情况下，当传入的内容为 false, undefined, null,0,none 时，会输出 false。
-
-也可以增加自定义规则来补充输出 false 的内容，每行代表一个匹配规则，支持正则表达式。
-
-**例子1**
-
-不填写任何自定义 False 规则。
-
-| 输入 | 输出 |
-| --- | --- |
-| 123 | true |
-| 这是一段文本 | true |
-| false | false |
-| 0 | false |
-| null | false |
-
-**例子2**
-
-自定义 False 规则: 
-
-```
-123
-你好
-aa
-/dd/
-```
-
-| 输入 | 输出 | 说明 |
-| --- | --- | --- |
-| 123 | false | 命中自定义 false 规则 |
-| 这是一段文本 | true | 未命中 |
-| false | false | 命中自定义 内置 规则 |
-| 0 | false | 命中自定义 内置 规则 |
-| null | false | 命中自定义 内置 规则 |
-| aa | false | 命中自定义 false 规则 |
-| aaa | true | 未命中 |
-| bb | false | 命中自定义 false 规则 |
-| bbb | false | 命中自定义 false 规则（正则匹配通过） |
-
-## 作用
-
-适用场景有：让大模型做判断后输出固定内容，根据大模型回复内容判断是否触发后续模块。
-

docSite/content/docs/workflow/modules/trigger.md

@@ -1,24 +0,0 @@
----
-title: "触发器"
-description: "FastGPT 触发器模块介绍"
-icon: "work_history"
-draft: false
-toc: true
-weight: 360
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-
-细心的同学可以发现，在每个功能模块里都会有一个叫【触发器】的外部输入，并且是 any 类型。
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-它的**核心作用**就是控制模块的执行时机，以下图两个知识库搜索中的【AI 对话】模块为例子：
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-| 图 1                         | 图 2                         |
-| ---------------------------- | ---------------------------- |
-| ![](/imgs/trigger1.png) | ![](/imgs/trigger2.png) |
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-【知识库搜索】模块中，由于**引用内容**始终会有输出，会导致【AI 对话】模块的**引用内容**输入无论有没有搜到内容都会被赋值。如果此时不连接触发器（图 2），在搜索结束后必定会执行【AI 对话】模块。
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-有时候，你可能希望空搜索时候进行额外处理，例如：回复固定内容、调用其他提示词的 GPT、发送一个 HTTP 请求…… 此时就需要用到触发器，需要将 **搜索结果不为空** 和 **触发器** 连接起来。
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-当搜索结果为空时，【知识库搜索】模块不会输出 **搜索结果不为空** 的结果，因此 【AI 对话】 模块的触发器始终为空，便不会执行。
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-总之，记住模块执行的逻辑就可以灵活的使用触发器：**外部输入字段（有连接的才有效）全部被赋值时才会被执行**。