Update package.json

Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>

.github/ISSUE_TEMPLATE/config.yml

@@ -1,5 +1,5 @@
 blank_issues_enabled: false
 contact_links:
-  - name: 微信交流群
-    url: https://oss.laf.run/htr4n1-images/fastgpt-qr-code.jpg
+  - name: 飞书话题群
+    url: https://oss.laf.run/otnvvf-imgs/1719505774252.jpg
     about: FastGPT 全是问题群

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

@@ -10,6 +10,7 @@ jobs:
   build-fastgpt-sandbox-images:
     runs-on: ubuntu-20.04
     steps:
+      # install env
       - name: Checkout
         uses: actions/checkout@v3
         with:
@@ -30,22 +31,53 @@ jobs:
           key: ${{ runner.os }}-buildx-${{ github.sha }}
           restore-keys: |
             ${{ runner.os }}-buildx-
+
+      # login docker
       - 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
+      - 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: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKER_HUB_NAME }}
+          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
+
+      # Set tag
+      - name: Set image name and tag
         run: |
           if [[ "${{ github.ref_name }}" == "main" ]]; then
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
           else
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
           fi
+
       - name: Build and publish image for main branch or tag push event
         env:
-          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+          Git_Tag: ${{ env.Git_Tag }}
+          Git_Latest: ${{ env.Git_Latest }}
+          Ali_Tag: ${{ env.Ali_Tag }}
+          Ali_Latest: ${{ env.Ali_Latest }}
+          Docker_Hub_Tag: ${{ env.Docker_Hub_Tag }}
+          Docker_Hub_Latest: ${{ env.Docker_Hub_Latest }}
         run: |
           docker buildx build \
           -f projects/sandbox/Dockerfile \
@@ -55,54 +87,10 @@ jobs:
           --push \
           --cache-from=type=local,src=/tmp/.buildx-cache \
           --cache-to=type=local,dest=/tmp/.buildx-cache \
-          -t ${DOCKER_REPO_TAGGED} \
+          -t ${Git_Tag} \
+          -t ${Git_Latest} \
+          -t ${Ali_Tag} \
+          -t ${Ali_Latest} \
+          -t ${Docker_Hub_Tag} \
+          -t ${Docker_Hub_Latest} \
           .
-  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-kubeconfig.yml

@@ -16,6 +16,9 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
+      - name: Change baseURL
+        run: sed -i 's|^baseURL =.*|baseURL = "https://doc.fastgpt.cn"|g' ./docSite/hugo.toml
+
       - name: Get current date and time
         id: datetime
         run: echo "datetime=$(date +'%Y%m%d%H%M%S')" >> "$GITHUB_OUTPUT"

.github/workflows/fastgpt-image.yml

@@ -11,6 +11,7 @@ jobs:
   build-fastgpt-images:
     runs-on: ubuntu-20.04
     steps:
+      # install env
       - name: Checkout
         uses: actions/checkout@v3
         with:
@@ -31,19 +32,45 @@ jobs:
           key: ${{ runner.os }}-buildx-${{ github.sha }}
           restore-keys: |
             ${{ runner.os }}-buildx-
+
+      # login docker
       - 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
+      - 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: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKER_HUB_NAME }}
+          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
+
+      # Set tag
+      - name: Set image name and tag
         run: |
           if [[ "${{ github.ref_name }}" == "main" ]]; then
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
           else
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
           fi
+
       - name: Build and publish image for main branch or tag push event
         env:
           DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
@@ -56,56 +83,10 @@ jobs:
           --push \
           --cache-from=type=local,src=/tmp/.buildx-cache \
           --cache-to=type=local,dest=/tmp/.buildx-cache \
-          -t ${DOCKER_REPO_TAGGED} \
+          -t ${Git_Tag} \
+          -t ${Git_Latest} \
+          -t ${Ali_Tag} \
+          -t ${Ali_Latest} \
+          -t ${Docker_Hub_Tag} \
+          -t ${Docker_Hub_Latest} \
           .
-  push-to-docker-hub:
-    needs: build-fastgpt-images
-    runs-on: ubuntu-20.04
-    if: github.repository == 'labring/FastGPT'
-    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:${{env.IMAGE_TAG}}
-      - name: Tag image with Docker Hub repository name and version tag
-        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:${{env.IMAGE_TAG}}
-      - name: Push image to Docker Hub
-        run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:${{env.IMAGE_TAG}}
-  push-to-ali-hub:
-    needs: build-fastgpt-images
-    if: github.repository == 'labring/FastGPT'
-    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:${{env.IMAGE_TAG}}
-      - name: Tag image with Docker Hub repository name and version tag
-        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}/fastgpt:${{env.IMAGE_TAG}}
-      - name: Push image to Docker Hub
-        run: docker push ${{ secrets.ALI_IMAGE_NAME }}/fastgpt:${{env.IMAGE_TAG}}

.github/workflows/preview-image.yml

@@ -7,7 +7,7 @@ on:
   workflow_dispatch:
 
 jobs:
-  build-fastgpt-images:
+  preview-fastgpt-images:
     runs-on: ubuntu-20.04
     steps:
       - name: Checkout

.npmrc

@@ -1,2 +1,3 @@
 public-hoist-pattern[]=*tiktoken*
 public-hoist-pattern[]=*@zilliz/milvus2-sdk-node*
+registry=https://registry.npmjs.org/

.prettierignore

@@ -3,4 +3,6 @@ dist
 **/.DS_Store
 node_modules
 docSite/
-*.md
+*.md
+
+cl100l_base.ts

.vscode/extensions.json

@@ -1,5 +0,0 @@
-{
-  "recommendations": [
-    "inlang.vs-code-extension"
-  ]
-}

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

@@ -26,13 +26,14 @@ usageMatchRegex:
   - "[^\\w\\d]workflowT\\(['\"`]({key})['\"`]"
   - "[^\\w\\d]userT\\(['\"`]({key})['\"`]"
   - "[^\\w\\d]chatT\\(['\"`]({key})['\"`]"
+  - "[^\\w\\d]i18nT\\(['\"`]({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*['\"`](.*?)['\"`]"
+scopeRangeRegex: "([^:]+):"
 
 # An array of strings containing refactor templates.
 # The "$1" will be replaced by the keypath specified.
@@ -41,6 +42,5 @@ scopeRangeRegex: "useTranslation\\(\\s*\\[?\\s*['\"`](.*?)['\"`]"
 # refactorTemplates:
 #  - i18n.get("$1")
 
-
 # If set to true, only enables this custom framework (will disable all built-in frameworks)
-monopoly: true
+monopoly: false

.vscode/settings.json

@@ -1,16 +1,27 @@
 {
     "editor.formatOnSave": true,
     "editor.mouseWheelZoom": true,
+    "editor.defaultFormatter": "esbenp.prettier-vscode",
+    "prettier.prettierPath": "node_modules/prettier",
     "typescript.tsdk": "node_modules/typescript/lib",
-    "prettier.prettierPath": "",
     "i18n-ally.localesPaths": [
-        "projects/app/i18n",
+        "packages/web/i18n",
+    ],
+    "i18n-ally.enabledParsers": [
+        "json",
+        "yaml",
+        "js",
+        "ts"
     ],
-    "i18n-ally.enabledParsers": ["json", "yaml", "js", "ts"],
     "i18n-ally.keystyle": "nested",
     "i18n-ally.sortKeys": 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"
+    "i18n-ally.namespace": true,
+    "i18n-ally.pathMatcher": "{locale}/{namespaces}.json",
+    "i18n-ally.extract.targetPickingStrategy": "most-similar-by-key",
+    "[typescript]": {
+        "editor.defaultFormatter": "esbenp.prettier-vscode"
+    }
 }

LICENSE

@@ -5,7 +5,7 @@ The FastGPT is licensed under the Apache License 2.0, with the following additio
 1. FastGPT is permitted to be used for commercialization. You can use FastGPT as a "backend-as-a-service" for your other applications, or delivering it to enterprises as an application development platform. However, when the following conditions are met, you must contact the producer to obtain a commercial license:
 
 a. Multi-tenant SaaS service: Unless explicitly authorized by FastGPT in writing, you may not use the FastGPT.AI source code to operate a multi-tenant SaaS service that is similar to the FastGPT.
-b. LOGO and copyright information: In the process of using FastGPT, you may not remove or moFastGPT the LOGO or copyright information in the FastGPT console.
+b. LOGO and copyright information: In the process of using FastGPT, you may not remove or modify the LOGO or copyright information in the FastGPT console.
 
 Please contact yujinlong@sealos.io by email to inquire about licensing matters.
 

README.md

@@ -120,9 +120,9 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
 
 ## 🏘️ 社区交流群
 
-wx 扫一下加入：
+扫码加入飞书话题群 (新开，逐渐弃用微信群)：
 
-![](https://oss.laf.run/htr4n1-images/wechat-qr-code.jpg)
+![](https://oss.laf.run/otnvvf-imgs/1719505774252.jpg)
 
 <a href="#readme">
     <img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">

dev.md

@@ -23,6 +23,77 @@ pnpm dev
 make dev name=app
 ```
 
+Note: If the Node version is >= 20, you need to pass the `--no-node-snapshot` parameter to Node when running `pnpm i`
+
+```sh
+NODE_OPTIONS=--no-node-snapshot pnpm i
+```
+
+## I18N
+
+### Install i18n-ally Plugin
+
+1. Open the Extensions Marketplace in VSCode, search for and install the `i18n Ally` plugin.
+
+### Code Optimization Examples
+
+#### Fetch Specific Namespace Translations in `getServerSideProps`
+
+```typescript
+// pages/yourPage.tsx
+export async function getServerSideProps(context: any) {
+  return {
+    props: {
+      currentTab: context?.query?.currentTab || TabEnum.info,
+      ...(await serverSideTranslations(context.locale, ['publish', 'user']))
+    }
+  };
+}
+```
+
+#### Use useTranslation Hook in Page
+
+```typescript
+// pages/yourPage.tsx
+import { useTranslation } from 'next-i18next';
+
+const YourComponent = () => {
+  const { t } = useTranslation();
+
+  return (
+    <Button
+      variant="outline"
+      size="sm"
+      mr={2}
+      onClick={() => setShowSelected(false)}
+    >
+      {t('common:close')}
+    </Button>
+  );
+};
+
+export default YourComponent;
+```
+
+#### Handle Static File Translations
+
+```typescript
+// utils/i18n.ts
+import { i18nT } from '@fastgpt/web/i18n/utils';
+
+const staticContent = {
+  id: 'simpleChat',
+  avatar: 'core/workflow/template/aiChat',
+  name: i18nT('app:template.simple_robot'),
+};
+
+export default staticContent;
+```
+
+### Standardize Translation Format
+
+- Use the t(namespace:key) format to ensure consistent naming.
+- Translation keys should use lowercase letters and underscores, e.g., common.close.
 
 ## Build
 
@@ -37,4 +108,3 @@ docker build -f ./projects/app/Dockerfile -t registry.cn-hangzhou.aliyuncs.com/f
 # Make cmd: Build image with proxy
 make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 proxy=taobao
 ```
-

docSite/content/zh-cn/docs/commercial/intro.md

@@ -19,13 +19,15 @@ FastGPT 商业版是基于 FastGPT 开源版的增强版本，增加了一些独
 | 应用管理与高级编排 | ✅ | ✅ | ✅ |
 | 文档知识库 | ✅ | ✅ | ✅ |
 | 外部使用 | ✅ | ✅ | ✅ |
+| 最大应用数量 | 500 | 无限制 | 由付费套餐决定 |
+| 最大知识库数量（单个知识库内容无限制） | 30 | 无限制 | 由付费套餐决定 |
 | 自定义版权信息 | ❌ | ✅ | 设计中 |
 | 多租户与支付 | ❌ | ✅ | ✅ |
 | 团队空间 | ❌ | ✅ | ✅ |
 | 应用发布安全配置 | ❌ | ✅ | ✅ |
 | 内容审核 | ❌ | ✅ | ✅ |
 | web站点同步 | ❌ | ✅ | ✅ |
-| 管理后台 | ❌ | ✅ | ✅ |
+| 管理后台 | ❌ | ✅ | 不需要 |
 | 增强训练模式 | ❌ | ✅ | ✅ |
 | 图片知识库 | ❌ | 设计中 | 设计中 |
 | 自动规划召回 | ❌ | 设计中 | 设计中 |

docSite/content/zh-cn/docs/development/configuration.md

@@ -148,6 +148,9 @@ llm模型全部合并
 - /imgs/model/openai.svg - OpenAI GPT
 - /imgs/model/qwen.svg - 通义千问
 - /imgs/model/yi.svg - 零一万物
+- /imgs/model/gemini.svg - gemini
+- /imgs/model/deepseek.svg - deepseek
+- /imgs/model/minimax.svg - minimax
 - 
 
 ## 特殊模型

docSite/content/zh-cn/docs/development/docker.md

@@ -11,7 +11,6 @@ weight: 707
 
 ![](/imgs/sealos-fastgpt.webp)
 
-
 {{% alert icon="🤖" context="success" %}}
 
 - MongoDB：用于存储除了向量外的各类数据
@@ -105,20 +104,18 @@ brew install orbstack
 {{< /tab >}}
 {{< /tabs >}}
 
-
 ## 开始部署
 
 ### 1. 下载 docker-compose.yml
 
-
-非 Linux 环境或无法访问外网环境，可手动创建一个目录，并下载配置文件和对应版本的`docker-compose.yml`
+非 Linux 环境或无法访问外网环境，可手动创建一个目录，并下载配置文件和对应版本的`docker-compose.yml`，在这个文件夹中依据下载的配置文件运行docker，若作为本地开发使用推荐`docker-compose-pgvector`版本，并且自行拉取并运行`sandbox`和`fastgpt`，并在docker配置文件中注释掉`sandbox`和`fastgpt`的部分
 
 - [config.json](https://github.com/labring/FastGPT/blob/main/projects/app/data/config.json)
 - [docker-compose.yml](https://github.com/labring/FastGPT/blob/main/files/docker) (注意，不同向量库版本的文件不一样)
 
 {{% alert icon="🤖" context="success" %}}
 
-所有 `docker-compose.yml` 配置文件中 `MongoDB` 为 5.x，需要用到AUX指令集，部分 CPU 不支持，需手动更改其镜像版本为 4.4.24**（需要自己在docker hub下载，阿里云镜像没做备份）
+所有 `docker-compose.yml` 配置文件中 `MongoDB` 为 5.x，需要用到AVX指令集，部分 CPU 不支持，需手动更改其镜像版本为 4.4.24**（需要自己在docker hub下载，阿里云镜像没做备份）
 
 {{% /alert %}}
 
@@ -271,7 +268,6 @@ rs.status()
 
 默认是写了OneAPi的连接地址和密钥，可以通过修改`docker-compose.yml`中，fastgpt容器的环境变量实现。
 
-
 `OPENAI_BASE_URL`（API 接口的地址，需要加/v1）
 `CHAT_API_KEY`（API 接口的凭证）。
 
@@ -315,8 +311,7 @@ docker-compose up -d
 1. `docker exec -it fastgpt sh` 进入 FastGPT 容器。
 2. 直接输入`env`命令查看所有环境变量。
 
-
-### 为什么无法连接`本地模型`镜像。
+### 为什么无法连接`本地模型`镜像
 
 `docker-compose.yml`中使用了桥接的模式建立了`fastgpt`网络，如想通过0.0.0.0或镜像名访问其它镜像，需将其它镜像也加入到网络中。
 
@@ -363,3 +358,14 @@ mongo连接失败，查看mongo的运行状态**对应日志**。
 ### 无法导出知识库、无法使用语音输入/播报
 
 没配置 SSL 证书，无权使用部分功能。
+
+### 登录提示 Network Error
+
+由于服务初始化错误，系统重启导致。
+
+- 90%是由于配置文件写不对，导致 JSON 解析报错
+- 剩下的基本是因为向量数据库连不上
+
+### 如何修改密码
+
+修改`docker-compose.yml`文件中`DEFAULT_ROOT_PSW`并重启即可，密码会自动更新。

docSite/content/zh-cn/docs/development/faq.md

@@ -31,7 +31,9 @@ images: []
 ### 页面崩溃
 
 1. 关闭翻译
-2. 检查配置文件是否正常加载，如果没有正常加载会导致缺失系统信息，在某些操作下会导致空指针。（95%情况是配置文件不对，可以F12打开控制台，看具体的空指针情况）
+2. 检查配置文件是否正常加载，如果没有正常加载会导致缺失系统信息，在某些操作下会导致空指针。
+  * 95%情况是配置文件不对。会提示 xxx undefined
+  * 提示`URI malformed`，请 Issue 反馈具体操作和页面，这是由于特殊字符串编码解析报错。
 3. 某些api不兼容问题（较少）
 
 ### 开启内容补全后，响应速度变慢

docSite/content/zh-cn/docs/development/intro.md

@@ -7,8 +7,7 @@ toc: true
 weight: 705
 ---
 
-本文档介绍了如何设置开发环境以构建和测试 [FastGPT](https://fastgpt.in)。
-
+本文档介绍了如何设置开发环境以构建和测试 [FastGPT](https://fastgpt.in)，。
 
 ## 前置依赖项
 
@@ -16,13 +15,14 @@ weight: 705
 
 - [Git](http://git-scm.com/)
 - [Docker](https://www.docker.com/)（构建镜像）
-- [Node.js v18.17 / v20.x](http://nodejs.org)
+- [Node.js v18.17 / v20.x](http://nodejs.org)（版本尽量一样，可以使用nvm管理node版本）
 - [pnpm](https://pnpm.io/) 版本 8.6.0 (目前官方的开发环境)
 - make命令: 根据不同平台，百度安装 (官方是GNU Make 4.3)
 
 ## 开始本地开发
 
 {{% alert context="success" %}}
+
 1. 用户默认的时区为 `Asia/Shanghai`,非 linux 环境时候，获取系统时间会异常，本地开发时候，可以将用户的时区调整成 UTC（+0）。
 2. 建议先服务器装好**数据库**，再进行本地开发。
 {{% /alert %}}
@@ -47,9 +47,10 @@ git clone git@github.com:<github_username>/FastGPT.git
 
 ### 3. 安装数据库
 
-第一次开发，需要先部署数据库，建议本地开发可以随便找一台 2C2G 的轻量小数据库实践。数据库部署教程：[Docker 快速部署](/docs/development/docker/)。部署完了，可以本地访问其数据库。
-
+第一次开发，需要先部署数据库，建议本地开发可以随便找一台 2C2G 的轻量小数据库实践，或者新建文件夹并配置相关文件用以运行docker。数据库部署教程：[Docker 快速部署](/docs/development/docker/)。部署完了，可以本地访问其数据库。
+{{% alert context="warning" %}}
 Mongo 数据库需要注意，需要注意在连接地址中增加 `directConnection=true` 参数，才能连接上副本集的数据库。
+{{% /alert %}}
 
 ### 4. 初始配置
 
@@ -57,7 +58,7 @@ Mongo 数据库需要注意，需要注意在连接地址中增加 `directConnec
 
 **1. 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，主要需要修改`API_KEY`和数据库的地址与端口以及数据库账号的用户名和密码，具体配置需要和docker配置文件相同，其中用户名和密码如需修改需要修改docker配置文件、数据库和`.env.local`文件，不能只改一处。
 
 **2. config 配置文件**
 
@@ -73,7 +74,7 @@ Mongo 数据库需要注意，需要注意在连接地址中增加 `directConnec
 
 ### 5. 运行
 
-可参考项目根目录下的 `dev.md`
+可参考项目根目录下的 `dev.md`，第一次编译运行可能会有点慢，需要点耐心哦
 
 ```bash
 # 给自动化脚本代码执行权限(非 linux 系统, 可以手动执行里面的 postinstall.sh 文件内容)
@@ -114,7 +115,6 @@ make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8
 
 如果遇到问题，比如合并冲突或不知道如何打开拉取请求，请查看 GitHub 的[拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)，了解如何解决合并冲突和其他问题。一旦您的 PR 被合并，您将自豪地被列为[贡献者表](https://github.com/labring/FastGPT/graphs/contributors)中的一员。
 
-
 ## QA
 
 ### 本地数据库无法连接
@@ -130,6 +130,7 @@ make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8
 FastGPT 在`pnpm i`后会执行`postinstall`脚本，用于自动生成`ChakraUI`的`Type`。如果没有权限，可以先执行`chmod -R +x ./scripts/`，再执行`pnpm i`。
 
 仍不可行的话，可以手动执行`./scripts/postinstall.sh`里的内容。
+*如果是Windows下的话，可以使用git bash给`postinstall`脚本添加执行权限并执行sh脚本*
 
 ### TypeError: Cannot read properties of null (reading 'useMemo' )
 
@@ -141,6 +142,9 @@ FastGPT 在`pnpm i`后会执行`postinstall`脚本，用于自动生成`ChakraUI
 4. `cd projects/app`
 5. `pnpm dev`
 
+### Error response from daemon: error while creating mount source path 'XXX': mkdir XXX: file exists
+
+这个错误可能是之前停止容器时有文件残留导致的，首先需要确认相关镜像都全部关闭，然后手动删除相关文件或者重启docker即可
 
 ## 加入社区
 
@@ -155,6 +159,7 @@ FastGPT 在`pnpm i`后会执行`postinstall`脚本，用于自动生成`ChakraUI
 FastGPT 使用了 nextjs 的 page route 作为框架。为了区分好前后端代码，在目录分配上会分成 global, service, web 3个自目录，分别对应着 `前后端共用`、`后端专用`、`前端专用`的代码。
 
 ### monorepo
+
 FastGPT 采用 pnpm workspace 方式构建 monorepo 项目，主要分为两个部分：
 
 - projects/app - FastGPT 主项目  
@@ -173,6 +178,7 @@ support - 支撑功能（用户体系，计费，鉴权等）
 common - 基础功能（日志管理，文件读写等）
 
 {{% details title="代码结构说明" closed="true" %}}
+
 ```
 .
 ├── .github                      // github 相关配置
@@ -200,4 +206,5 @@ common - 基础功能（日志管理，文件读写等）
 ├── README_ja.md
 ├── dev.md
 ```
+
 {{% /details %}}

docSite/content/zh-cn/docs/development/openapi/chat.md

@@ -7,18 +7,22 @@ toc: true
 weight: 852
 ---
 
-## 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 %}}
 
+## 发起对话(简易应用和工作流)
 
-**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。**
+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，不过需要注意下面几个规则：
 
-## 请求
+{{% alert icon="🤖 " context="success" %}}
+* 传入的`model`，`temperature`等参数字段均无效，这些字段由编排决定。
+* 不会返回实际消耗`Token`值，如果需要，可以设置`detail=true`，并手动计算 `responseData` 里的`tokens`值。
+{{% /alert %}}
+
+### 请求
 
 {{< tabs tabTotal="2" >}}
 {{< tab tabName="请求示例" >}}
@@ -67,7 +71,7 @@ curl --location --request POST 'https://api.fastgpt.in/api/v1/chat/completions'
 {{< /tab >}}
 {{< /tabs >}}
 
-## 响应
+### 响应
 
 {{< tabs tabTotal="5" >}}
 {{< tab tabName="detail=false,stream=false 响应" >}}
@@ -245,7 +249,7 @@ data: [{"moduleName":"知识库搜索","moduleType":"datasetSearchNode","running
 {{< /markdownify >}}
 {{< /tab >}}
 
-{{< tab tabName="detail=true,stream=true 时，event值" >}}
+{{< tab tabName="event值" >}}
 {{< markdownify >}}
 
 event取值：
@@ -265,6 +269,192 @@ event取值：
 {{< /tabs >}}
 
 
+
+## 请求插件
+
+插件的接口与对话接口一致，仅请求参数略有区别，有以下规定：
+
+* 调用插件类型的应用时，接口默认为`detail`模式。
+* 无需传入 `chatId`，因为插件只能运行一轮。
+* 无需传入`messages`。
+* 通过传递`variables`来代表插件的输入。
+* 通过获取`pluginData`来获取插件输出。
+
+### 请求示例
+
+```bash
+curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
+--header 'Authorization: Bearer test-xxxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "stream": false,
+    "chatId": "test",
+    "variables": {
+        "query":"你好" # 我的插件输入有一个参数，变量名叫 query
+    }
+}'
+```
+
+### 响应示例
+
+{{< tabs tabTotal="3" >}}
+
+{{< tab tabName="detail=true,stream=false 响应" >}}
+{{< markdownify >}}
+
+* 插件的输出可以通过查找`responseData`中, `moduleType=pluginOutput`的元素，其`pluginOutput`是插件的输出。
+* 流输出，仍可以通过`choices`进行获取。
+
+```json
+{
+    "responseData": [
+        {
+            "nodeId": "fdDgXQ6SYn8v",
+            "moduleName": "AI 对话",
+            "moduleType": "chatNode",
+            "totalPoints": 0.685,
+            "model": "FastAI-3.5",
+            "tokens": 685,
+            "query": "你好",
+            "maxToken": 2000,
+            "historyPreview": [
+                {
+                    "obj": "Human",
+                    "value": "你好"
+                },
+                {
+                    "obj": "AI",
+                    "value": "你好！有什么可以帮助你的吗？欢迎向我提问。"
+                }
+            ],
+            "contextTotalLen": 14,
+            "runningTime": 1.73
+        },
+        {
+            "nodeId": "pluginOutput",
+            "moduleName": "自定义插件输出",
+            "moduleType": "pluginOutput",
+            "totalPoints": 0,
+            "pluginOutput": {
+                "result": "你好！有什么可以帮助你的吗？欢迎向我提问。"
+            },
+            "runningTime": 0
+        }
+    ],
+    "newVariables": {
+        "query": "你好"
+    },
+    "id": "safsafsa",
+    "model": "",
+    "usage": {
+        "prompt_tokens": 1,
+        "completion_tokens": 1,
+        "total_tokens": 1
+    },
+    "choices": [
+        {
+            "message": {
+                "role": "assistant",
+                "content": "你好！有什么可以帮助你的吗？欢迎向我提问。"
+            },
+            "finish_reason": "stop",
+            "index": 0
+        }
+    ]
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+
+{{< tab tabName="detail=true,stream=true 响应" >}}
+{{< markdownify >}}
+
+* 插件的输出可以通过获取`event=flowResponses`中的字符串，并将其反序列化后得到一个数组。同样的，查找 `moduleType=pluginOutput`的元素，其`pluginOutput`是插件的输出。
+* 流输出，仍和对话接口一样获取。
+
+```bash
+event: flowNodeStatus
+data: {"status":"running","name":"AI 对话"}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":""},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"你"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"好"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"！"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"有"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"什"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"么"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"可以"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"帮"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"助"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"你"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"的"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"吗"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"？"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":""},"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: flowResponses
+data: [{"nodeId":"fdDgXQ6SYn8v","moduleName":"AI 对话","moduleType":"chatNode","totalPoints":0.033,"model":"FastAI-3.5","tokens":33,"query":"你好","maxToken":2000,"historyPreview":[{"obj":"Human","value":"你好"},{"obj":"AI","value":"你好！有什么可以帮助你的吗？"}],"contextTotalLen":2,"runningTime":1.42},{"nodeId":"pluginOutput","moduleName":"自定义插件输出","moduleType":"pluginOutput","totalPoints":0,"pluginOutput":{"result":"你好！有什么可以帮助你的吗？"},"runningTime":0}]
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="输出获取" >}}
+{{< markdownify >}}
+
+event取值：
+
+- answer: 返回给客户端的文本（最终会算作回答）
+- fastAnswer: 指定回复返回给客户端的文本（最终会算作回答）
+- toolCall: 执行工具
+- toolParams: 工具参数
+- toolResponse: 工具返回
+- flowNodeStatus: 运行到的节点状态
+- flowResponses: 节点完整响应
+- updateVariables: 更新变量
+- error: 报错
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
+
 ## 使用案例
 
 - [接入 NextWeb/ChatGPT web 等应用](/docs/use-cases/openapi)

docSite/content/zh-cn/docs/development/openapi/dataset.md

@@ -13,7 +13,7 @@ weight: 853
 
 
 
-## 创建训练订单(4.6.9地址发生改动)
+## 创建训练订单
 
 {{< tabs tabTotal="2" >}}
 {{< tab tabName="请求示例" >}}
@@ -26,6 +26,7 @@ curl --location --request POST 'https://api.fastgpt.in/api/support/wallet/usage/
 --header 'Authorization: Bearer {{apikey}}' \
 --header 'Content-Type: application/json' \
 --data-raw '{
+    "datasetId": "知识库 ID",
     "name": "可选，自定义订单名称，例如：文档训练-fastgpt.docx"
 }'
 ```
@@ -127,8 +128,12 @@ curl --location --request POST 'http://localhost:3000/api/core/dataset/create' \
 {{< markdownify >}}
 
 ```bash
-curl --location --request GET 'http://localhost:3000/api/core/dataset/list?parentId=' \
---header 'Authorization: Bearer {{authorization}}' \
+curl --location --request POST 'http://localhost:3000/api/core/dataset/list?parentId=' \
+--header 'Authorization: Bearer xxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "parentId":""
+}'
 ```
 
 {{< /markdownify >}}
@@ -138,7 +143,7 @@ curl --location --request GET 'http://localhost:3000/api/core/dataset/list?paren
 {{< markdownify >}}
 
 {{% alert icon=" " context="success" %}}
-- parentId - 父级ID，不传或为空，代表获取根目录下的知识库
+- parentId - 父级ID，传空字符串或者null，代表获取根目录下的知识库
 {{% /alert %}}
 
 {{< /markdownify >}}

docSite/content/zh-cn/docs/development/upgrading/468.md

@@ -77,7 +77,7 @@ docker-compose up -d
 
 商业版用户需要执行一个初始化，格式化团队信息。
 
-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)
+发起 1 个 HTTP 请求 ({{rootkey}} 替换成环境变量里的 `rootkey`，{{host}} 替换成商业版域名)
 
 ```bash
 curl --location --request POST 'https://{{host}}/api/init/v468' \

docSite/content/zh-cn/docs/development/upgrading/484.md

@@ -1,5 +1,5 @@
 ---
-title: 'V4.8.4'
+title: 'V4.8.4(需要初始化)'
 description: 'FastGPT V4.8.4 更新说明'
 icon: 'upgrade'
 draft: false
@@ -35,4 +35,4 @@ curl --location --request POST 'https://{{host}}/api/admin/init/484' \
 6. 修复 - 定时执行初始化错误。
 7. 修复 - 应用调用传参异常。
 8. 修复 - ctrl + cv 复杂节点时，nodeId错误。 
-9. 调整组件库全局theme。
+9. 调整组件库全局theme。

docSite/content/zh-cn/docs/development/upgrading/485.md

@@ -0,0 +1,61 @@
+---
+title: 'V4.8.5(需要初始化)'
+description: 'FastGPT V4.8.5 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 819
+---
+
+## 升级指南
+
+### 1. 做好数据库备份
+
+### 2. 修改镜像
+
+- fastgpt 镜像 tag 修改成 v4.8.5
+- 商业版镜像 tag 修改成 v4.8.5
+
+### 3. 执行初始化
+
+从任意终端，发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`；{{host}} 替换成**FastGPT 域名**。
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/initv485' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+会把插件的数据表合并到应用中，插件表不会删除。
+
+------
+
+**商业版用户执行额外的初始化**
+
+从任意终端，发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`；{{host}} 替换成**FastGPT 商业版的域名**：
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/init/485' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+会重置知识库权限系统。
+
+## V4.8.5 更新说明
+
+1. 新增 - 合并插件和应用，统一成工作台
+2. 新增 - 应用创建副本功能
+3. 新增 - 应用创建模板
+4. 新增 - 支持代码运行结果作为工具输出。
+5. 新增 - Markdown 图片输出，支持移动端放大缩放。
+6. 优化 - 原文件编码存取
+7. 优化 - 知识库删除后，简易模式会过滤掉删除的知识库，避免错误判断。
+8. 优化 - 文件夹读取，支持单个文件夹超出 100 个文件
+9. 优化 - 问答拆分/手动录入，当有`a`字段时，自动将`q`作为补充索引。
+10. 优化 - 对话框页面代码
+11. 优化 - 工作流新节点自动增加序号名
+12. 修复 - 定时任务无法实际关闭
+13. 修复 - 输入引导特殊字符导致正则报错
+14. 修复 - 文件包含特殊字符`%`，且为转义时会导致页面崩溃
+15. 修复 - 自定义输入选择知识库引用时页面崩溃

docSite/content/zh-cn/docs/development/upgrading/486.md

@@ -0,0 +1,51 @@
+---
+title: 'V4.8.6(需要初始化)'
+description: 'FastGPT V4.8.6 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 818
+---
+
+## 升级指南
+
+### 1. 做好数据库备份
+
+### 2. 修改镜像
+
+- fastgpt 镜像 tag 修改成 v4.8.6
+- fastgpt-sandbox 镜像 tag 修改成 v4.8.6
+- 商业版镜像 tag 修改成 v4.8.6
+
+### 3. 执行初始化
+
+从任意终端，发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`；{{host}} 替换成**FastGPT 域名**。
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/initv486' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+会初始化应用的继承权限
+
+-------
+
+## V4.8.6 更新说明
+
+1. 新增 - 应用权限继承 
+2. 新增 - 知识库支持单个集合禁用功能 
+3. 新增 - 系统插件模式变更，新增链接读取和数学计算器插件，正式版会更新如何自定义系统插件 
+4. 新增 - 代码沙盒运行参数 
+5. 新增 - AI对话时隐藏头部的功能，主要是适配移动端 
+6. 优化 - 文件读取，Mongo 默认使用从节点，减轻主节点压力 
+7. 优化 - 提示词模板 
+8. 优化 - Mongo model 重复加载 
+9. 修复 - 创建链接集合未返回 id 
+10. 修复 - 文档接口说明 
+11. 修复 - api system 提示合并
+12. 修复 - 团队插件目录内的内容无法加载 
+13. 修复 - 知识库集合目录面包屑无法加载 
+14. 修复 - Markdown 导出对话异常 
+15. 修复 -  提示模板结束标签错误
+16. 修复 - 文档描述

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

@@ -0,0 +1,29 @@
+---
+title: 'V4.8.7'
+description: 'FastGPT V4.8.7 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 817
+---
+
+## 升级指南
+
+### 1. 做好数据库备份
+
+### 2. 修改镜像
+
+- fastgpt 镜像 tag 修改成 v4.8.7
+- 商业版镜像 tag 修改成 v4.8.7
+
+-------
+
+## V4.8.7 更新说明
+
+1. 新增 - 插件支持独立运行，发布和日志查看
+2. 新增 - 应用搜索
+3. 优化 - 对话框代码
+4. 优化 - 升级 Dockerfile node 和 pnpm 版本
+5. 优化 - local 域名部署，也可以正常使用 vision 模式
+6. 修复 - 简易模式无法变更全局变量
+7. 修复 - gpt4o 无法同时使用工具和图片

docSite/content/zh-cn/docs/development/upgrading/488.md

@@ -0,0 +1,51 @@
+---
+title: 'V4.8.8'
+description: 'FastGPT V4.8.8 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 816
+---
+
+## 升级指南
+
+### 1. 做好数据库备份
+
+### 2. 修改镜像
+
+- fastgpt 镜像 tag 修改成 v4.8.8
+- 商业版镜像 tag 修改成 v4.8.8
+
+### 3. 执行初始化
+
+从任意终端，发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`；{{host}} 替换成**FastGPT 域名**。
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/initv488' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+会初始化知识库的继承权限
+
+-------
+
+## V4.8.8 更新说明
+
+[点击查看完整更新](https://github.com/labring/FastGPT/releases/tag/v4.8.8)
+
+1. 新增 - 重构系统插件的结构。允许向开源社区 PR 系统插件，具体可见: [如何向 FastGPT 社区提交系统插件](https://fael3z0zfze.feishu.cn/wiki/ERZnw9R26iRRG0kXZRec6WL9nwh)。
+2. 新增 - DuckDuckGo 系统插件。
+3. 新增 - 飞书 webhook 系统插件。
+4. 新增 - 修改变量填写方式。提示词输入框以以及工作流中所有 Textarea 输入框，支持输入 / 唤起变量选择，可直接选择所有上游输出值，无需动态引入。
+5. 商业版新增 - 知识库权限继承。
+6. 优化 - 移动端快速切换应用交互。
+7. 优化 - 节点图标。
+8. 优化 - 对话框引用增加额外复制案件，便于复制。增加引用内容折叠。
+9. 优化 - OpenAI sdk 升级，并自定义了 whisper 模型接口（未仔细查看 sdk 实现，但 sdk 中 whisper 接口，似乎无法适配一般 fastapi 接口）
+10. 修复 - Permission 表声明问题。
+11. 修复 - 并行执行节点，运行时间未正确记录。
+12. 修复 - 运行详情未正确展示嵌套节点信息。
+13. 修复 - 简易模式，首次进入，无法正确获取知识库配置。
+14. 修复 - Log debug level 配置无效。
+15. 修复 - 插件独立运行时，会将插件输入的值进行变量替换，可能导致后续节点变量异常。

docSite/content/zh-cn/docs/use-cases/wechat.md

@@ -9,7 +9,7 @@ weight: 506
 
 # FastGPT 三分钟接入微信/企业微信
 私人微信和企业微信接入的方式基本一样，不同的地方会刻意指出。   
-[查看视频教程](https://www.bilibili.com/video/BV1cu411F7FN/?spm_id_from=333.1007.top_right_bar_window_history.content.click&vd_source=903c2b09b7412037c2eddc6a8fb9828b)
+[查看视频教程](https://www.bilibili.com/video/BV1rJ4m1w7xk/)
 ## 创建APIKey
 首先找到我们需要接入的应用，然后点击「外部使用」->「API访问」创建一个APIKey并保存。
 
@@ -27,7 +27,7 @@ weight: 506
 
 ## sealos部署服务
 
-[访问sealos](https://cloud.sealos.io/) 登陆进来之后打开「应用管理」-> 「新建应用」。
+[访问sealos](https://cloud.sealos.run/) 登陆进来之后打开「应用管理」-> 「新建应用」。
 - 应用名：称随便填写
 - 镜像名：私人微信填写 aibotk/wechat-assistant 企业微信填写 aibotk/worker-assistant
 - cpu和内存建议 1c1g
@@ -38,14 +38,14 @@ weight: 506
 
 ![](/imgs/wechat5.png)
 
-这里需要填写四个环境变量：   
+这里需要填写三个环境变量：   
 ```
 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）
 ```
 
-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。
+这里最后的企业微信 Token 在微秘书的->会员开通栏目中自行购买。
 
 ![](/imgs/wechat6.png)
 
@@ -55,9 +55,7 @@ WORK_PRO_TOKEN=你申请的企微 token   （企业微信需要填写，私人
 
 ![](/imgs/wechat7.png)
 
-`WORK_PRO_TOKEN` [点击这里](https://tss.rpachat.com/?aff=aibotk)申请 token 然后填入即可。   
-
-`WECHATY_PUPPET_SERVICE_AUTHORITY`的值复制过去就可以。
+`WORK_PRO_TOKEN` 微秘书的会员中心中自行购买即可。
 
 填写完毕后点右上角「部署」，等待应用状态变为运行中。  
 

docSite/content/zh-cn/docs/workflow/examples/dalle3.md

@@ -4,7 +4,7 @@ description: '使用 HTTP 模块绘制图片'
 icon: 'image'
 draft: false
 toc: true
-weight: 404
+weight: 408
 ---
 
 |                       |                       |
@@ -272,7 +272,7 @@ Response:
             {
               "key": "Authorization",
               "type": "string",
-              "value": "Bearer sk-zsfBsxEU3ApSFGYxF4CdB97e9556412588421823371b9f7b"
+              "value": "Bearer "
             }
           ],
           "label": "",

docSite/content/zh-cn/docs/workflow/examples/feishu_webhook.md

@@ -4,7 +4,7 @@ description: '利用工具调用模块，发送一个飞书webhook通知'
 icon: 'image'
 draft: false
 toc: true
-weight: 404
+weight: 409
 ---
 
 该文章展示如何发送一个简单的飞书webhook通知，以此类推，发送其他类型的通知也可以这么操作。
@@ -26,456 +26,378 @@ weight: 404
 {{% details title="编排配置" closed="true" %}}
 
 ```json
-[
-  {
-    "nodeId": "userGuide",
-    "name": "core.module.template.App system setting",
-    "intro": "core.app.tip.userGuideTip",
-    "avatar": "/imgs/workflow/userGuide.png",
-    "flowNodeType": "userGuide",
-    "position": {
-      "x": -92.26884681344463,
-      "y": 710.9354029649536
+{
+  "nodes": [
+    {
+      "nodeId": "userGuide",
+      "name": "系统配置",
+      "intro": "可以配置应用的系统参数",
+      "avatar": "/imgs/workflow/userGuide.png",
+      "flowNodeType": "userGuide",
+      "position": {
+        "x": 303.41163758039283,
+        "y": -552.297639861266
+      },
+      "version": "481",
+      "inputs": [],
+      "outputs": []
     },
-    "inputs": [
-      {
-        "key": "welcomeText",
-        "type": "hidden",
-        "valueType": "string",
-        "label": "core.app.Welcome Text",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "value": "",
-        "connected": false
+    {
+      "nodeId": "workflowStartNodeId",
+      "name": "流程开始",
+      "intro": "",
+      "avatar": "/imgs/workflow/userChatInput.svg",
+      "flowNodeType": "workflowStart",
+      "position": {
+        "x": 529.3935295017156,
+        "y": 197.114018410347
       },
-      {
-        "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,
-        "value": false,
-        "connected": false
-      },
-      {
-        "key": "tts",
-        "type": "hidden",
-        "valueType": "any",
-        "label": "",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "value": {
-          "type": "web"
-        },
-        "connected": false
-      }
-    ],
-    "outputs": []
-  },
-  {
-    "nodeId": "userChatInput",
-    "name": "core.module.template.Chat entrance",
-    "intro": "当用户发送一个内容后，流程将会从这个模块开始执行。",
-    "avatar": "/imgs/workflow/userChatInput.svg",
-    "flowNodeType": "questionInput",
-    "position": {
-      "x": 241.60980819261408,
-      "y": 1330.9528898009685
-    },
-    "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": [
-          {
-            "nodeId": "n84rvg",
-            "key": "userChatInput"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "nodeId": "n84rvg",
-    "name": "工具调用（实验）",
-    "intro": "通过AI模型自动选择一个或多个功能块进行调用，也可以对插件进行调用。",
-    "avatar": "/imgs/workflow/tool.svg",
-    "flowNodeType": "tools",
-    "showStatus": true,
-    "position": {
-      "x": 809.4264785615641,
-      "y": 873.3971746859133
-    },
-    "inputs": [
-      {
-        "key": "model",
-        "type": "settingLLMModel",
-        "label": "core.module.input.label.aiModel",
-        "required": true,
-        "valueType": "string",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "llmModelType": "all",
-        "value": "gpt-3.5-turbo",
-        "connected": false
-      },
-      {
-        "key": "temperature",
-        "type": "hidden",
-        "label": "",
-        "value": 0,
-        "valueType": "number",
-        "min": 0,
-        "max": 10,
-        "step": 1,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "maxToken",
-        "type": "hidden",
-        "label": "",
-        "value": 2000,
-        "valueType": "number",
-        "min": 100,
-        "max": 4000,
-        "step": 50,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "systemPrompt",
-        "type": "textarea",
-        "max": 3000,
-        "valueType": "string",
-        "label": "core.ai.Prompt",
-        "description": "core.app.tip.chatNodeSystemPromptTip",
-        "placeholder": "core.app.tip.chatNodeSystemPromptTip",
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": false
-      },
-      {
-        "key": "history",
-        "type": "numberInput",
-        "label": "core.module.input.label.chat history",
-        "required": true,
-        "min": 0,
-        "max": 30,
-        "valueType": "chatHistory",
-        "value": 6,
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": false
-      },
-      {
-        "key": "userChatInput",
-        "type": "custom",
-        "label": "",
-        "required": true,
-        "valueType": "string",
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "userChatInput",
-        "label": "core.module.input.label.user question",
-        "type": "hidden",
-        "valueType": "string",
-        "targets": []
-      },
-      {
-        "key": "selectedTools",
-        "valueType": "tools",
-        "type": "hidden",
-        "targets": [
-          {
-            "nodeId": "3mbu91",
-            "key": "selectedTools"
-          }
-        ]
-      },
-      {
-        "key": "finish",
-        "label": "",
-        "description": "",
-        "valueType": "boolean",
-        "type": "hidden",
-        "targets": []
-      }
-    ]
-  },
-  {
-    "nodeId": "3mbu91",
-    "name": "HTTP 请求",
-    "intro": "调用飞书webhook，发送一个通知",
-    "avatar": "/imgs/workflow/http.png",
-    "flowNodeType": "httpRequest468",
-    "showStatus": true,
-    "position": {
-      "x": 1483.6437630977423,
-      "y": 798.9716928475544
-    },
-    "inputs": [
-     
-      {
-        "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": "这里填写你的飞书机器人地址",
-        "connected": false
-      },
-      {
-        "key": "system_httpHeader",
-        "type": "custom",
-        "valueType": "any",
-        "value": [],
-        "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    \"msg_type\": \"text\",\r\n    \"content\": {\r\n        \"text\": \"{{text}}\"\r\n    }\r\n}",
-        "label": "",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "DYNAMIC_INPUT_KEY",
-        "type": "target",
-        "valueType": "any",
-        "label": "core.workflow.inputType.dynamicTargetInput",
-        "description": "core.module.input.description.dynamic input",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": true,
-        "hideInApp": true,
-        "connected": false
-      },
-      {
-        "key": "system_addInputParam",
-        "type": "addInputParam",
-        "valueType": "any",
-        "label": "",
-        "required": false,
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "editField": {
-          "key": true,
-          "description": true,
-          "dataType": true
-        },
-        "defaultEditField": {
-          "label": "",
-          "key": "",
-          "description": "",
-          "inputType": "target",
-          "valueType": "string"
-        },
-        "connected": false
-      },
-      {
-        "valueType": "string",
-        "type": "hidden",
-        "key": "text",
-        "label": "text",
-        "toolDescription": "需要发送的通知内容",
-        "required": true,
-        "connected": false
-      }
-    ],
-    "outputs": [
-      {
-        "key": "httpRawResponse",
-        "label": "原始响应",
-        "description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
-        "valueType": "any",
-        "type": "source",
-        "targets": [
-          {
-            "nodeId": "rzx4mj",
-            "key": "switch"
-          },
-          {
-            "nodeId": "psdhs1",
-            "key": "switch"
-          }
-        ]
-      },
-      {
-        "key": "system_addOutputParam",
-        "type": "addOutputParam",
-        "valueType": "any",
-        "label": "",
-        "targets": [],
-        "editField": {
-          "key": true,
-          "description": true,
-          "dataType": true,
-          "defaultValue": true
-        },
-        "defaultEditField": {
-          "label": "",
-          "key": "",
-          "description": "",
-          "outputType": "source",
-          "valueType": "string"
+      "version": "481",
+      "inputs": [
+        {
+          "key": "userChatInput",
+          "renderTypeList": [
+            "reference",
+            "textarea"
+          ],
+          "valueType": "string",
+          "label": "用户问题",
+          "required": true,
+          "toolDescription": "用户问题"
         }
+      ],
+      "outputs": [
+        {
+          "id": "userChatInput",
+          "key": "userChatInput",
+          "label": "core.module.input.label.user question",
+          "valueType": "string",
+          "type": "static"
+        }
+      ]
+    },
+    {
+      "nodeId": "u6IAOEssxoZT",
+      "name": "工具调用",
+      "intro": "通过AI模型自动选择一个或多个功能块进行调用，也可以对插件进行调用。",
+      "avatar": "/imgs/workflow/tool.svg",
+      "flowNodeType": "tools",
+      "showStatus": true,
+      "position": {
+        "x": 1003.146243538873,
+        "y": 48.52327869406625
       },
-      {
-        "type": "source",
-        "valueType": "string",
-        "key": "prompt",
-        "label": "prompt",
-        "description": "",
-        "required": false,
-        "edit": true,
-        "editField": {
-          "key": true,
-          "description": true,
-          "dataType": true,
-          "defaultValue": true
+      "version": "481",
+      "inputs": [
+        {
+          "key": "model",
+          "renderTypeList": [
+            "settingLLMModel",
+            "reference"
+          ],
+          "label": "core.module.input.label.aiModel",
+          "valueType": "string",
+          "llmModelType": "all",
+          "value": "gpt-3.5-turbo"
         },
-        "targets": []
-      }
-    ]
-  },
-  {
-    "nodeId": "rzx4mj",
-    "name": "工具调用终止",
-    "intro": "该模块需配置工具调用使用。当该模块被执行时，本次工具调用将会强制结束，并且不再调用AI针对工具调用结果回答问题。",
-    "avatar": "/imgs/workflow/toolStop.svg",
-    "flowNodeType": "stopTool",
-    "position": {
-      "x": 2145.5070710160267,
-      "y": 1306.3581817783079
+        {
+          "key": "temperature",
+          "renderTypeList": [
+            "hidden"
+          ],
+          "label": "",
+          "value": 0,
+          "valueType": "number",
+          "min": 0,
+          "max": 10,
+          "step": 1
+        },
+        {
+          "key": "maxToken",
+          "renderTypeList": [
+            "hidden"
+          ],
+          "label": "",
+          "value": 2000,
+          "valueType": "number",
+          "min": 100,
+          "max": 4000,
+          "step": 50
+        },
+        {
+          "key": "systemPrompt",
+          "renderTypeList": [
+            "textarea",
+            "reference"
+          ],
+          "max": 3000,
+          "valueType": "string",
+          "label": "core.ai.Prompt",
+          "description": "core.app.tip.chatNodeSystemPromptTip",
+          "placeholder": "core.app.tip.chatNodeSystemPromptTip"
+        },
+        {
+          "key": "history",
+          "renderTypeList": [
+            "numberInput",
+            "reference"
+          ],
+          "valueType": "chatHistory",
+          "label": "core.module.input.label.chat history",
+          "description": "最多携带多少轮对话记录",
+          "required": true,
+          "min": 0,
+          "max": 50,
+          "value": 6
+        },
+        {
+          "key": "userChatInput",
+          "renderTypeList": [
+            "reference",
+            "textarea"
+          ],
+          "valueType": "string",
+          "label": "用户问题",
+          "required": true,
+          "value": [
+            "workflowStartNodeId",
+            "userChatInput"
+          ]
+        }
+      ],
+      "outputs": [
+        {
+          "id": "answerText",
+          "key": "answerText",
+          "label": "core.module.output.label.Ai response content",
+          "description": "core.module.output.description.Ai response content",
+          "valueType": "string",
+          "type": "static"
+        }
+      ]
     },
-    "inputs": [
-      {
-        "key": "switch",
-        "type": "triggerAndFinish",
-        "label": "",
-        "description": "core.module.input.description.Trigger",
-        "valueType": "any",
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": true
-      }
-    ],
-    "outputs": []
-  },
-  {
-    "nodeId": "psdhs1",
-    "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。非字符串内容传入时，会转成字符串进行输出。",
-    "avatar": "/imgs/workflow/reply.png",
-    "flowNodeType": "answerNode",
-    "position": {
-      "x": 2117.0429459850598,
-      "y": 1658.4125434513746
-    },
-    "inputs": [
-      {
-        "key": "switch",
-        "type": "triggerAndFinish",
-        "label": "",
-        "description": "core.module.input.description.Trigger",
-        "valueType": "any",
-        "showTargetInApp": true,
-        "showTargetInPlugin": true,
-        "connected": true
+    {
+      "nodeId": "fvY5hb0K646V",
+      "name": "工具调用终止",
+      "intro": "该模块需配置工具调用使用。当该模块被执行时，本次工具调用将会强制结束，并且不再调用AI针对工具调用结果回答问题。",
+      "avatar": "/imgs/workflow/toolStop.svg",
+      "flowNodeType": "stopTool",
+      "position": {
+        "x": 2367.838362362707,
+        "y": 732.355988936165
       },
+      "version": "481",
+      "inputs": [],
+      "outputs": []
+    },
+    {
+      "nodeId": "x9rN2a4WnZmt",
+      "name": "HTTP 请求",
+      "intro": "向飞书发送一个webhooks通知信息。",
+      "avatar": "/imgs/workflow/http.png",
+      "flowNodeType": "httpRequest468",
+      "showStatus": true,
+      "position": {
+        "x": 1623.9214305901633,
+        "y": 22.777089001645862
+      },
+      "version": "486",
+      "inputs": [
+        {
+          "key": "system_addInputParam",
+          "renderTypeList": [
+            "addInputParam"
+          ],
+          "valueType": "dynamic",
+          "label": "",
+          "required": false,
+          "description": "core.module.input.description.HTTP Dynamic Input",
+          "editField": {
+            "key": true,
+            "valueType": true
+          }
+        },
+        {
+          "valueType": "string",
+          "renderTypeList": [
+            "reference"
+          ],
+          "key": "text",
+          "label": "text",
+          "toolDescription": "发送的消息",
+          "required": true,
+          "canEdit": true,
+          "editField": {
+            "key": true,
+            "description": true
+          }
+        },
+        {
+          "key": "system_httpMethod",
+          "renderTypeList": [
+            "custom"
+          ],
+          "valueType": "string",
+          "label": "",
+          "value": "POST",
+          "required": true
+        },
+        {
+          "key": "system_httpReqUrl",
+          "renderTypeList": [
+            "hidden"
+          ],
+          "valueType": "string",
+          "label": "",
+          "description": "core.module.input.description.Http Request Url",
+          "placeholder": "https://api.ai.com/getInventory",
+          "required": false,
+          "value": ""
+        },
+        {
+          "key": "system_httpHeader",
+          "renderTypeList": [
+            "custom"
+          ],
+          "valueType": "any",
+          "value": [],
+          "label": "",
+          "description": "core.module.input.description.Http Request Header",
+          "placeholder": "core.module.input.description.Http Request Header",
+          "required": false
+        },
+        {
+          "key": "system_httpParams",
+          "renderTypeList": [
+            "hidden"
+          ],
+          "valueType": "any",
+          "value": [],
+          "label": "",
+          "required": false
+        },
+        {
+          "key": "system_httpJsonBody",
+          "renderTypeList": [
+            "hidden"
+          ],
+          "valueType": "any",
+          "value": "{\r\n    \"msg_type\": \"text\",\r\n    \"content\": {\r\n        \"text\": \"{{text}}\"\r\n    }\r\n}",
+          "label": "",
+          "required": false
+        }
+      ],
+      "outputs": [
+        {
+          "id": "system_addOutputParam",
+          "key": "system_addOutputParam",
+          "type": "dynamic",
+          "valueType": "dynamic",
+          "label": "",
+          "editField": {
+            "key": true,
+            "valueType": true
+          }
+        },
+        {
+          "id": "error",
+          "key": "error",
+          "label": "请求错误",
+          "description": "HTTP请求错误信息，成功时返回空",
+          "valueType": "object",
+          "type": "static"
+        },
+        {
+          "id": "httpRawResponse",
+          "key": "httpRawResponse",
+          "label": "原始响应",
+          "required": true,
+          "description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
+          "valueType": "any",
+          "type": "static"
+        }
+      ]
+    },
+    {
+      "nodeId": "aGHGqH2oUupj",
+      "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。非字符串内容传入时，会转成字符串进行输出。",
+      "avatar": "/imgs/workflow/reply.png",
+      "flowNodeType": "answerNode",
+      "position": {
+        "x": 2350.7077940158674,
+        "y": 107.32448732713493
+      },
+      "version": "481",
+      "inputs": [
+        {
+          "key": "text",
+          "renderTypeList": [
+            "textarea",
+            "reference"
+          ],
+          "valueType": "any",
+          "required": true,
+          "label": "core.module.input.label.Response content",
+          "description": "core.module.input.description.Response content",
+          "placeholder": "core.module.input.description.Response content",
+          "value": "嘻嘻，发送成功"
+        }
+      ],
+      "outputs": []
+    }
+  ],
+  "edges": [
+    {
+      "source": "workflowStartNodeId",
+      "target": "u6IAOEssxoZT",
+      "sourceHandle": "workflowStartNodeId-source-right",
+      "targetHandle": "u6IAOEssxoZT-target-left"
+    },
+    {
+      "source": "u6IAOEssxoZT",
+      "target": "x9rN2a4WnZmt",
+      "sourceHandle": "selectedTools",
+      "targetHandle": "selectedTools"
+    },
+    {
+      "source": "x9rN2a4WnZmt",
+      "target": "fvY5hb0K646V",
+      "sourceHandle": "x9rN2a4WnZmt-source-right",
+      "targetHandle": "fvY5hb0K646V-target-left"
+    },
+    {
+      "source": "x9rN2a4WnZmt",
+      "target": "aGHGqH2oUupj",
+      "sourceHandle": "x9rN2a4WnZmt-source-right",
+      "targetHandle": "aGHGqH2oUupj-target-left"
+    }
+  ],
+  "chatConfig": {
+    "variables": [
       {
-        "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,
-        "value": "笑死发送成功啦",
-        "connected": false
+        "id": "txq1ca",
+        "key": "test",
+        "label": "测试",
+        "type": "custom",
+        "required": true,
+        "maxLen": 50,
+        "enums": [
+          {
+            "value": ""
+          }
+        ]
       }
     ],
-    "outputs": [
-      {
-        "key": "finish",
-        "label": "",
-        "description": "",
-        "valueType": "boolean",
-        "type": "hidden",
-        "targets": []
-      }
-    ]
+    "questionGuide": false,
+    "scheduledTriggerConfig": {
+      "cronString": "",
+      "timezone": "Asia/Shanghai",
+      "defaultPrompt": ""
+    },
+    "_id": "66715d4bf577287d39e35ecf"
   }
-]
+}
 ```
 
 {{% /details %}}

docSite/content/zh-cn/docs/workflow/examples/fixingEvidence.md

@@ -4,7 +4,7 @@ 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
+weight: 405
 ---
 
 ![](/imgs/demo-fix-evidence1.jpg)

docSite/content/zh-cn/docs/workflow/examples/google_search.md

@@ -4,7 +4,7 @@ description: '将 FastGPT 接入谷歌搜索'
 icon: 'search'
 draft: false
 toc: true
-weight: 402
+weight: 406
 ---
 
 |                     |                       |
@@ -192,7 +192,7 @@ export default async function (ctx: FunctionContext) {
     },
     {
       "nodeId": "NOgbnBzUwDgT",
-      "name": "工具调用（实验）",
+      "name": "工具调用",
       "intro": "通过AI模型自动选择一个或多个功能块进行调用，也可以对插件进行调用。",
       "avatar": "/imgs/workflow/tool.svg",
       "flowNodeType": "tools",

docSite/content/zh-cn/docs/workflow/examples/lab_appointment.md

@@ -4,7 +4,7 @@ description: '展示高级编排操作数据库的能力'
 icon: 'database'
 draft: false
 toc: true
-weight: 403
+weight: 407
 ---
 
 |                       |                       |
@@ -436,7 +436,7 @@ HTTP模块中，需要设置 3 个工具参数：
     },
     {
       "nodeId": "fYxwWym8flYL",
-      "name": "工具调用（实验）",
+      "name": "工具调用",
       "intro": "通过AI模型自动选择一个或多个功能块进行调用，也可以对插件进行调用。",
       "avatar": "/imgs/workflow/tool.svg",
       "flowNodeType": "tools",

docSite/content/zh-cn/docs/workflow/intro.md

@@ -9,7 +9,7 @@ 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)
+[查看视频教程](https://www.bilibili.com/video/BV1is421u7bQ/)
 
 ![](/imgs/flow-intro1.png)
 

docSite/hugo.toml

@@ -5,6 +5,7 @@ enableEmoji = true
 enableGitInfo = false # N.B. .GitInfo does not currently function with git submodule content directories
 
 defaultContentLanguage = 'zh-cn'
+defaultContentLanguageInSubdir = false
 [languages]
   [languages.zh-cn]
     title = "FastGPT"

docSite/layouts/partials/docs/gitinfo.html

@@ -15,7 +15,7 @@
 {{ end }}
 
 <!-- change -->
-{{ $repoURL = $repoURL | append "docSite/content" .Site.LanguagePrefix $filePath }}
+{{ $repoURL = $repoURL | append "docSite/content" .Site.Language.Lang $filePath }}
 {{ $repoURL = delimit $repoURL "/" }}
 {{ $editPageURL := replaceRE "(https?://)|(/)+" "$1$2" $repoURL }}
 

files/docker/docker-compose-milvus.yml

@@ -114,15 +114,15 @@ services:
   # fastgpt
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.8.4 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.4 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:latest # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:latest # 阿里云
     networks:
       - fastgpt
     restart: always
   fastgpt:
     container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.4 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.4 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.8 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.8 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -156,12 +156,14 @@ services:
       - SANDBOX_URL=http://sandbox:3000
       # 日志等级: debug, info, warn, error
       - LOG_LEVEL=info
+      - STORE_LOG_LEVEL=warn
     volumes:
       - ./config.json:/app/data/config.json
 
   # oneapi
   mysql:
-    image: mysql:8.0.36
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mysql:8.0.36 # 阿里云
+    # image: mysql:8.0.36
     container_name: mysql
     restart: always
     ports:
@@ -177,7 +179,8 @@ services:
       - ./mysql:/var/lib/mysql
   oneapi:
     container_name: oneapi
-    image: ghcr.io/songquanpeng/one-api:latest
+    image: ghcr.io/songquanpeng/one-api:0.6.7
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/one-api:v0.6.6 # 阿里云
     ports:
       - 3001:3000
     depends_on:

files/docker/docker-compose-pgvector.yml

@@ -72,15 +72,15 @@ services:
   # fastgpt
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.8.4 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.4 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:latest # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:latest # 阿里云
     networks:
       - fastgpt
     restart: always
   fastgpt:
     container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.4 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.4 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.8 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.8 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -113,11 +113,13 @@ services:
       - SANDBOX_URL=http://sandbox:3000
       # 日志等级: debug, info, warn, error
       - LOG_LEVEL=info
+      - STORE_LOG_LEVEL=warn
     volumes:
       - ./config.json:/app/data/config.json
 
   # oneapi
   mysql:
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mysql:8.0.36 # 阿里云
     image: mysql:8.0.36
     container_name: mysql
     restart: always
@@ -134,7 +136,8 @@ services:
       - ./mysql:/var/lib/mysql
   oneapi:
     container_name: oneapi
-    image: ghcr.io/songquanpeng/one-api:latest
+    image: ghcr.io/songquanpeng/one-api:0.6.7
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/one-api:v0.6.6 # 阿里云
     ports:
       - 3001:3000
     depends_on:

files/docker/docker-compose-zilliz.yml

@@ -53,15 +53,15 @@ services:
         wait $$!
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.8.4 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.4 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:latest # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:latest # 阿里云
     networks:
       - fastgpt
     restart: always
   fastgpt:
     container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.4 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.4 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.8 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.8 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -94,12 +94,14 @@ services:
       - SANDBOX_URL=http://sandbox:3000
       # 日志等级: debug, info, warn, error
       - LOG_LEVEL=info
+      - STORE_LOG_LEVEL=warn
     volumes:
       - ./config.json:/app/data/config.json
 
   # oneapi
   mysql:
-    image: mysql:8.0.36
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mysql:8.0.36 # 阿里云
+    # image: mysql:8.0.36
     container_name: mysql
     restart: always
     ports:
@@ -115,7 +117,8 @@ services:
       - ./mysql:/var/lib/mysql
   oneapi:
     container_name: oneapi
-    image: ghcr.io/songquanpeng/one-api:latest
+    image: ghcr.io/songquanpeng/one-api:0.6.7
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/one-api:v0.6.6 # 阿里云
     ports:
       - 3001:3000
     depends_on:

package.json

@@ -9,30 +9,25 @@
     "gen:theme-typings": "chakra-cli tokens packages/web/styles/theme.ts --out node_modules/.pnpm/node_modules/@chakra-ui/styled-system/dist/theming.types.d.ts",
     "postinstall": "sh ./scripts/postinstall.sh",
     "initIcon": "node ./scripts/icon/init.js",
-    "previewIcon": "node ./scripts/icon/index.js"
+    "previewIcon": "node ./scripts/icon/index.js",
+    "checkI18n": "node ./scripts/i18n/delete-unused-keys.js"
   },
   "devDependencies": {
     "@chakra-ui/cli": "^2.4.1",
     "husky": "^8.0.3",
-    "i18next": "23.10.0",
-    "lint-staged": "^13.2.1",
-    "next-i18next": "15.2.0",
+    "lint-staged": "^13.3.0",
+    "i18next": "23.11.5",
+    "next-i18next": "15.3.0",
+    "react-i18next": "14.1.2",
     "prettier": "3.2.4",
-    "react-i18next": "13.5.0",
-    "zhlint": "^0.7.1"
-  },
-  "resolutions": {
-    "react": "18.3.1",
-    "react-dom": "18.3.1",
-    "@types/react": "18.3.0",
-    "@types/react-dom": "18.3.0"
+    "zhlint": "^0.7.4"
   },
   "lint-staged": {
     "./**/**/*.{ts,tsx,scss}": "npm run format-code",
     "./docSite/**/**/*.md": "npm run format-doc"
   },
   "engines": {
-    "node": ">=18.0.0",
-    "pnpm": ">=8.6.0"
+    "node": ">=18.16.0",
+    "pnpm": ">=9.0.0"
   }
-}
+}

packages/global/common/error/code/common.ts

@@ -4,7 +4,9 @@ import { ErrType } from '../errorCode';
 const startCode = 507000;
 export enum CommonErrEnum {
   fileNotFound = 'fileNotFound',
-  unAuthFile = 'unAuthFile'
+  unAuthFile = 'unAuthFile',
+  missingParams = 'missingParams',
+  inheritPermissionError = 'inheritPermissionError'
 }
 const datasetErr = [
   {
@@ -14,6 +16,14 @@ const datasetErr = [
   {
     statusText: CommonErrEnum.unAuthFile,
     message: 'error.unAuthFile'
+  },
+  {
+    statusText: CommonErrEnum.missingParams,
+    message: 'error.missingParams'
+  },
+  {
+    statusText: CommonErrEnum.inheritPermissionError,
+    message: 'error.inheritPermissionError'
   }
 ];
 export default datasetErr.reduce((acc, cur, index) => {

packages/global/common/error/code/dataset.ts

@@ -2,15 +2,20 @@ import { ErrType } from '../errorCode';
 
 /* dataset: 501000 */
 export enum DatasetErrEnum {
+  unExist = 'unExistDataset',
   unAuthDataset = 'unAuthDataset',
   unCreateCollection = 'unCreateCollection',
   unAuthDatasetCollection = 'unAuthDatasetCollection',
   unAuthDatasetData = 'unAuthDatasetData',
   unAuthDatasetFile = 'unAuthDatasetFile',
-
-  unLinkCollection = 'unLinkCollection'
+  unLinkCollection = 'unLinkCollection',
+  invalidVectorModelOrQAModel = 'invalidVectorModelOrQAModel'
 }
 const datasetErr = [
+  {
+    statusText: DatasetErrEnum.unExist,
+    message: 'core.dataset.error.unExistDataset'
+  },
   {
     statusText: DatasetErrEnum.unAuthDataset,
     message: 'core.dataset.error.unAuthDataset'
@@ -34,6 +39,10 @@ const datasetErr = [
   {
     statusText: DatasetErrEnum.unLinkCollection,
     message: 'core.dataset.error.unLinkCollection'
+  },
+  {
+    statusText: DatasetErrEnum.invalidVectorModelOrQAModel,
+    message: 'core.dataset.error.invalidVectorModelOrQAModel'
   }
 ];
 export default datasetErr.reduce((acc, cur, index) => {

packages/global/common/error/code/openapi.ts

@@ -3,7 +3,8 @@ import { ErrType } from '../errorCode';
 /* dataset: 506000 */
 export enum OpenApiErrEnum {
   unExist = 'openapiUnExist',
-  unAuth = 'openapiUnAuth'
+  unAuth = 'openapiUnAuth',
+  exceedLimit = 'openapiExceedLimit'
 }
 const errList = [
   {
@@ -13,6 +14,10 @@ const errList = [
   {
     statusText: OpenApiErrEnum.unAuth,
     message: '无权操作该 Api Key'
+  },
+  {
+    statusText: OpenApiErrEnum.exceedLimit,
+    message: '最多 10 组 API 密钥'
   }
 ];
 export default errList.reduce((acc, cur, index) => {

packages/global/common/file/image/constants.ts

@@ -53,4 +53,5 @@ export const uniqueImageTypeList = Object.entries(mongoImageTypeMap)
 
 export const FolderIcon = 'file/fill/folder';
 export const FolderImgUrl = '/imgs/files/folder.svg';
+export const HttpPluginImgUrl = '/imgs/app/httpPluginFill.svg';
 export const HttpImgUrl = '/imgs/workflow/http.png';

packages/global/common/file/image/type.d.ts

@@ -9,6 +9,7 @@ export type MongoImageSchemaType = {
   type: `${MongoImageTypeEnum}`;
 
   metadata?: {
+    mime?: string; // image mime type.
     relatedId?: string; // This id is associated with a set of images
   };
 };

packages/global/common/string/textSplitter.ts

@@ -144,7 +144,7 @@ const commonSplit = (props: SplitProps): SplitResponse => {
       ];
     }
 
-    const isCustomSteep = checkIsCustomStep(step);
+    const isCustomStep = checkIsCustomStep(step);
     const isMarkdownSplit = checkIsMarkdownSplit(step);
     const independentChunk = checkIndependentChunk(step);
 
@@ -154,7 +154,7 @@ const commonSplit = (props: SplitProps): SplitResponse => {
       .replace(
         reg,
         (() => {
-          if (isCustomSteep) return splitMarker;
+          if (isCustomStep) return splitMarker;
           if (independentChunk) return `${splitMarker}$1`;
           return `$1${splitMarker}`;
         })()
@@ -350,7 +350,7 @@ export const splitText2Chunks = (props: SplitProps): SplitResponse => {
 
     return commonSplit(props);
   });
-  console.log(Date.now() - start);
+
   return {
     chunks: splitResult.map((item) => item.chunks).flat(),
     chars: splitResult.reduce((sum, item) => sum + item.chars, 0)

packages/global/common/string/time.ts

@@ -1,6 +1,7 @@
 import dayjs from 'dayjs';
 import cronParser from 'cron-parser';
 
+export const formatTime2YMDHMW = (time?: Date) => dayjs(time).format('YYYY-MM-DD HH:mm:ss dddd');
 export const formatTime2YMDHM = (time?: Date) =>
   time ? dayjs(time).format('YYYY-MM-DD HH:mm') : '';
 export const formatTime2YMD = (time?: Date) => (time ? dayjs(time).format('YYYY-MM-DD') : '');

packages/global/common/string/tools.ts

@@ -67,6 +67,14 @@ export const getNanoid = (size = 12) => {
 /* Custom text to reg, need to replace special chats */
 export const replaceRegChars = (text: string) => text.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
 
+export const getRegQueryStr = (text: string, flags = 'i') => {
+  const formatText = replaceRegChars(text);
+  const chars = formatText.split('');
+  const regexPattern = chars.join('.*');
+
+  return new RegExp(regexPattern, flags);
+};
+
 /* slice json str */
 export const sliceJsonStr = (str: string) => {
   str = str.replace(/(\\n|\\)/g, '').replace(/  /g, '');

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

@@ -32,9 +32,12 @@ export type FastGPTFeConfigsType = {
   show_promotion?: boolean;
   show_team_chat?: boolean;
   concatMd?: string;
+
   docUrl?: string;
   chatbotUrl?: string;
   openAPIDocUrl?: string;
+  systemPluginCourseUrl?: string;
+
   systemTitle?: string;
   systemDescription?: string;
   googleClientVerKey?: string;
@@ -70,9 +73,3 @@ export type SystemEnvType = {
   oneapiUrl?: string;
   chatApiKey?: string;
 };
-
-// declare global {
-//   var feConfigs: FastGPTFeConfigsType;
-//   var systemEnv: SystemEnvType;
-//   var systemInitd: boolean;
-// }

packages/global/core/ai/model.ts

@@ -2,8 +2,8 @@ import type { LLMModelItemType, VectorModelItemType } from './model.d';
 
 export const defaultQAModels: LLMModelItemType[] = [
   {
-    model: 'gpt-3.5-turbo',
-    name: 'gpt-3.5-turbo',
+    model: 'gpt-4o-mini',
+    name: 'gpt-4o-mini',
     maxContext: 16000,
     maxResponse: 16000,
     quoteMaxToken: 13000,

packages/global/core/ai/prompt/AIChat.ts

@@ -100,7 +100,7 @@ export const Prompt_QuotePromptList: PromptTemplateItem[] = [
 
 <QA>
 {{quote}}
-</QA>}
+</QA>
 
 思考流程：
 1. 判断问题是否与 <QA></QA> 标记中的内容有关。
@@ -109,7 +109,12 @@ export const Prompt_QuotePromptList: PromptTemplateItem[] = [
 4. 如果有相同的问题，直接输出对应答案。
 5. 如果只有相近的问题，请把相近的问题和答案一起输出。
 
-最后，避免提及你是从 QA 获取的知识，只需要回复答案。
+回答要求：
+- 如果没有相关的问答对，你需要澄清。
+- 回答的内容应尽可能与 <QA></QA> 标记中的内容一致。
+- 避免提及你是从 QA 获取的知识，只需要回复答案。
+- 使用 Markdown 语法优化回答格式。
+- 使用与问题相同的语言回答。
 
 问题:"""{{question}}"""`
   }

packages/global/core/ai/prompt/agent.ts

@@ -20,7 +20,7 @@ A2:
 
 <Context>
 {{text}}
-<Context/>
+</Context>
 `
 };
 

packages/global/core/app/constants.ts

@@ -3,19 +3,12 @@ import { AppTTSConfigType, AppWhisperConfigType } from './type';
 export enum AppTypeEnum {
   folder = 'folder',
   simple = 'simple',
-  advanced = 'advanced'
+  workflow = 'advanced',
+  plugin = 'plugin',
+  httpPlugin = 'httpPlugin'
 }
-export const AppTypeMap = {
-  [AppTypeEnum.folder]: {
-    label: 'folder'
-  },
-  [AppTypeEnum.simple]: {
-    label: 'simple'
-  },
-  [AppTypeEnum.advanced]: {
-    label: 'advanced'
-  }
-};
+
+export const AppFolderTypeList = [AppTypeEnum.folder, AppTypeEnum.httpPlugin];
 
 export const defaultTTSConfig: AppTTSConfigType = { type: 'web' };
 

packages/global/core/app/controller.d.ts

@@ -0,0 +1,24 @@
+import { ParentIdType } from 'common/parentFolder/type';
+import { AppSchema } from './type';
+import { AppTypeEnum } from './constants';
+
+export type CreateAppProps = {
+  parentId?: ParentIdType;
+  name?: string;
+  avatar?: string;
+  intro?: string;
+  type?: AppTypeEnum;
+  modules: AppSchema['modules'];
+  edges?: AppSchema['edges'];
+};
+export type CreateHttpPluginChildrenPros = Omit<CreateAppProps, 'type'> & {
+  parentId: ParentIdType;
+  name: string;
+  intro: string;
+  avatar: string;
+  modules: AppSchema['modules'];
+  edges: AppSchema['edges'];
+  pluginData: {
+    pluginUniId: string;
+  };
+};

packages/global/core/app/httpPlugin/utils.ts

@@ -2,19 +2,20 @@ import { getNanoid } from '../../../common/string/tools';
 import { OpenApiJsonSchema } from './type';
 import yaml from 'js-yaml';
 import { OpenAPIV3 } from 'openapi-types';
-import { PluginTypeEnum } from '../constants';
-import { FlowNodeInputItemType, FlowNodeOutputItemType } from '../../workflow/type/io.d';
+import { FlowNodeInputItemType, FlowNodeOutputItemType } from '../../workflow/type/io';
 import { FlowNodeInputTypeEnum, FlowNodeOutputTypeEnum } from '../../workflow/node/constant';
-import { NodeInputKeyEnum, WorkflowIOValueTypeEnum } from '../../workflow/constants';
+import { WorkflowIOValueTypeEnum } from '../../workflow/constants';
 import { PluginInputModule } from '../../workflow/template/system/pluginInput';
 import { PluginOutputModule } from '../../workflow/template/system/pluginOutput';
-import { HttpModule468 } from '../../workflow/template/system/http468';
+import { HttpNode468 } from '../../workflow/template/system/http468';
 import { HttpParamAndHeaderItemType } from '../../workflow/api';
-import { CreateOnePluginParams } from '../controller';
-import { StoreNodeItemType } from '../../workflow/type';
+import { StoreNodeItemType } from '../../workflow/type/node';
 import { HttpImgUrl } from '../../../common/file/image/constants';
 import SwaggerParser from '@apidevtools/swagger-parser';
-import { getHandleId } from '../../../core/workflow/utils';
+import { getHandleId } from '../../workflow/utils';
+import { CreateHttpPluginChildrenPros } from '../controller';
+import { AppTypeEnum } from '../constants';
+import type { StoreEdgeItemType } from '../../workflow/type/edge';
 
 export const str2OpenApiSchema = async (yamlStr = ''): Promise<OpenApiJsonSchema> => {
   try {
@@ -89,7 +90,7 @@ export const httpApiSchema2Plugins = async ({
   parentId: string;
   apiSchemaStr?: string;
   customHeader?: string;
-}): Promise<CreateOnePluginParams[]> => {
+}): Promise<CreateHttpPluginChildrenPros[]> => {
   const jsonSchema = await str2OpenApiSchema(apiSchemaStr);
 
   const baseUrl = jsonSchema.serverPath;
@@ -115,16 +116,7 @@ export const httpApiSchema2Plugins = async ({
           required: param.required,
           description: param.description,
           toolDescription: param.description,
-          canEdit: true,
-          editField: {
-            key: true,
-            name: true,
-            description: true,
-            required: true,
-            dataType: true,
-            inputType: true,
-            isToolInput: true
-          }
+          canEdit: true
         };
       }) || []),
       ...(propsKeys?.map((key) => {
@@ -137,16 +129,7 @@ export const httpApiSchema2Plugins = async ({
           required: false,
           description: prop.description,
           toolDescription: prop.description,
-          canEdit: true,
-          editField: {
-            key: true,
-            name: true,
-            description: true,
-            required: true,
-            dataType: true,
-            inputType: true,
-            isToolInput: true
-          }
+          canEdit: true
         };
       }) || [])
     ];
@@ -185,10 +168,6 @@ export const httpApiSchema2Plugins = async ({
           label: param.name,
           renderTypeList: [FlowNodeInputTypeEnum.reference],
           canEdit: true,
-          editField: {
-            key: true,
-            valueType: true
-          },
           value: [pluginInputId, inputIdMap.get(param.name)]
         };
       }) || []),
@@ -199,10 +178,6 @@ export const httpApiSchema2Plugins = async ({
           label: key,
           renderTypeList: [FlowNodeInputTypeEnum.reference],
           canEdit: true,
-          editField: {
-            key: true,
-            valueType: true
-          },
           value: [pluginInputId, inputIdMap.get(key)]
         };
       }) || [])
@@ -270,7 +245,7 @@ export const httpApiSchema2Plugins = async ({
     }
 
     /* Combine complete modules */
-    const modules: StoreNodeItemType[] = [
+    const nodes: StoreNodeItemType[] = [
       {
         nodeId: pluginInputId,
         name: PluginInputModule.name,
@@ -279,8 +254,8 @@ export const httpApiSchema2Plugins = async ({
         flowNodeType: PluginInputModule.flowNodeType,
         showStatus: PluginInputModule.showStatus,
         position: {
-          x: 616.4226348688949,
-          y: -165.05298493910115
+          x: 473.55206291900333,
+          y: -145.65080850146154
         },
         version: PluginInputModule.version,
         inputs: pluginInputs,
@@ -294,8 +269,8 @@ export const httpApiSchema2Plugins = async ({
         flowNodeType: PluginOutputModule.flowNodeType,
         showStatus: PluginOutputModule.showStatus,
         position: {
-          x: 1607.7142331269126,
-          y: -151.8669210746189
+          x: 1847.5956872650024,
+          y: 5.114324648101558
         },
         version: PluginOutputModule.version,
         inputs: [
@@ -307,11 +282,6 @@ export const httpApiSchema2Plugins = async ({
             required: false,
             description: '',
             canEdit: true,
-            editField: {
-              key: true,
-              description: true,
-              valueType: true
-            },
             value: [httpId, 'httpRawResponse']
           }
         ],
@@ -327,29 +297,18 @@ export const httpApiSchema2Plugins = async ({
       },
       {
         nodeId: httpId,
-        name: HttpModule468.name,
-        intro: HttpModule468.intro,
-        avatar: HttpModule468.avatar,
-        flowNodeType: HttpModule468.flowNodeType,
+        name: HttpNode468.name,
+        intro: HttpNode468.intro,
+        avatar: HttpNode468.avatar,
+        flowNodeType: HttpNode468.flowNodeType,
         showStatus: true,
         position: {
-          x: 1042.549746602742,
-          y: -447.77496332641647
+          x: 1188.947986995841,
+          y: -473.52694296182904
         },
-        version: HttpModule468.version,
+        version: HttpNode468.version,
         inputs: [
-          {
-            key: NodeInputKeyEnum.addInputParam,
-            renderTypeList: [FlowNodeInputTypeEnum.addInputParam],
-            valueType: WorkflowIOValueTypeEnum.dynamic,
-            label: '',
-            required: false,
-            description: 'core.module.input.description.HTTP Dynamic Input',
-            editField: {
-              key: true,
-              valueType: true
-            }
-          },
+          HttpNode468.inputs[0],
           ...httpInputs,
           {
             key: 'system_httpMethod',
@@ -396,11 +355,11 @@ export const httpApiSchema2Plugins = async ({
             required: false
           }
         ],
-        outputs: HttpModule468.outputs
+        outputs: HttpNode468.outputs
       }
     ];
 
-    const edges = [
+    const edges: StoreEdgeItemType[] = [
       {
         source: pluginInputId,
         target: httpId,
@@ -420,9 +379,12 @@ export const httpApiSchema2Plugins = async ({
       avatar: HttpImgUrl,
       intro: item.description,
       parentId,
-      type: PluginTypeEnum.http,
-      modules,
-      edges
+      type: AppTypeEnum.plugin,
+      modules: nodes,
+      edges,
+      pluginData: {
+        pluginUniId: item.name
+      }
     };
   });
 };

packages/global/core/app/plugin/utils.ts

@@ -0,0 +1,10 @@
+import { StoreNodeItemType } from '../../workflow/type/node';
+import { FlowNodeInputItemType } from '../../workflow/type/io';
+import { FlowNodeTypeEnum } from '../../workflow/node/constant';
+
+export const getPluginInputsFromStoreNodes = (nodes: StoreNodeItemType[]) => {
+  return nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput)?.inputs || [];
+};
+export const getPluginRunContent = (e: { pluginInputs: FlowNodeInputItemType[] }) => {
+  return JSON.stringify(e);
+};

packages/global/core/app/type.d.ts

@@ -1,4 +1,4 @@
-import type { FlowNodeTemplateType, StoreNodeItemType } from '../workflow/type';
+import type { FlowNodeTemplateType, StoreNodeItemType } from '../workflow/type/node';
 import { AppTypeEnum } from './constants';
 import { PermissionTypeEnum } from '../../support/permission/constant';
 import { VariableInputEnum } from '../workflow/constants';
@@ -6,7 +6,7 @@ import { SelectedDatasetType } from '../workflow/api';
 import { DatasetSearchModeEnum } from '../dataset/constants';
 import { TeamTagSchema as TeamTagsSchemaType } from '@fastgpt/global/support/user/team/type.d';
 import { StoreEdgeItemType } from '../workflow/type/edge';
-import { PermissionValueType } from '../../support/permission/type';
+import { PermissionSchemaType, PermissionValueType } from '../../support/permission/type';
 import { AppPermission } from '../../support/permission/app/controller';
 import { ParentIdType } from '../../common/parentFolder/type';
 
@@ -21,10 +21,17 @@ export type AppSchema = {
   name: string;
   avatar: string;
   intro: string;
-  updateTime: number;
+
+  updateTime: Date;
 
   modules: StoreNodeItemType[];
   edges: StoreEdgeItemType[];
+  pluginData?: {
+    nodeVersion?: string;
+    pluginUniId?: string; // plugin unique id(plugin name)
+    apiSchemaStr?: string; // api schema string
+    customHeaders?: string;
+  };
 
   // App system config
   chatConfig: AppChatConfigType;
@@ -33,18 +40,19 @@ export type AppSchema = {
 
   inited?: boolean;
   teamTags: string[];
-  defaultPermission: PermissionValueType;
-};
+} & PermissionSchemaType;
 
 export type AppListItemType = {
   _id: string;
+  tmbId: string;
   name: string;
   avatar: string;
   intro: string;
   type: AppTypeEnum;
-  defaultPermission: PermissionValueType;
+  updateTime: Date;
+  pluginData?: AppSchema['pluginData'];
   permission: AppPermission;
-};
+} & PermissionSchemaType;
 
 export type AppDetailType = AppSchema & {
   permission: AppPermission;

packages/global/core/app/utils.ts

@@ -3,30 +3,32 @@ import { FlowNodeTypeEnum } from '../workflow/node/constant';
 import { NodeInputKeyEnum, FlowNodeTemplateTypeEnum } from '../workflow/constants';
 import type { FlowNodeInputItemType } from '../workflow/type/io.d';
 import { getAppChatConfig } from '../workflow/utils';
-import { StoreNodeItemType } from '../workflow/type';
+import { StoreNodeItemType } from '../workflow/type/node';
 import { DatasetSearchModeEnum } from '../dataset/constants';
 
-export const getDefaultAppForm = (): AppSimpleEditFormType => ({
-  aiSettings: {
-    model: 'gpt-3.5-turbo',
-    systemPrompt: '',
-    temperature: 0,
-    isResponseAnswerText: true,
-    maxHistories: 6,
-    maxToken: 4000
-  },
-  dataset: {
-    datasets: [],
-    similarity: 0.4,
-    limit: 1500,
-    searchMode: DatasetSearchModeEnum.embedding,
-    usingReRank: false,
-    datasetSearchUsingExtensionQuery: false,
-    datasetSearchExtensionBg: ''
-  },
-  selectedTools: [],
-  chatConfig: {}
-});
+export const getDefaultAppForm = (): AppSimpleEditFormType => {
+  return {
+    aiSettings: {
+      model: 'gpt-4o-mini',
+      systemPrompt: '',
+      temperature: 0,
+      isResponseAnswerText: true,
+      maxHistories: 6,
+      maxToken: 4000
+    },
+    dataset: {
+      datasets: [],
+      similarity: 0.4,
+      limit: 1500,
+      searchMode: DatasetSearchModeEnum.embedding,
+      usingReRank: false,
+      datasetSearchUsingExtensionQuery: true,
+      datasetSearchExtensionBg: ''
+    },
+    selectedTools: [],
+    chatConfig: {}
+  };
+};
 
 /* format app nodes to edit form */
 export const appWorkflow2Form = ({
@@ -99,7 +101,7 @@ export const appWorkflow2Form = ({
       if (!node.pluginId) return;
 
       defaultAppForm.selectedTools.push({
-        id: node.pluginId,
+        id: node.nodeId,
         pluginId: node.pluginId,
         name: node.name,
         avatar: node.avatar,

packages/global/core/app/version.d.ts

@@ -1,12 +1,11 @@
-import { StoreNodeItemType } from '../workflow/type';
 import { StoreEdgeItemType } from '../workflow/type/edge';
-import { AppChatConfigType } from './type';
+import { AppChatConfigType, AppSchema } from './type';
 
 export type AppVersionSchemaType = {
   _id: string;
   appId: string;
   time: Date;
-  nodes: StoreNodeItemType[];
-  edges: StoreEdgeItemType[];
-  chatConfig: AppChatConfigType;
+  nodes: AppSchema['modules'];
+  edges: AppSchema['edges'];
+  chatConfig: AppSchema['chatConfig'];
 };

packages/global/core/chat/adapt.ts

@@ -56,7 +56,10 @@ export const chats2GPTMessages = ({
               text: item.text?.content || ''
             };
           }
-          if (item.type === 'file' && item.file?.type === ChatFileTypeEnum.image) {
+          if (
+            item.type === ChatItemValueTypeEnum.file &&
+            item.file?.type === ChatFileTypeEnum.image
+          ) {
             return {
               type: 'image_url',
               image_url: {
@@ -64,7 +67,6 @@ export const chats2GPTMessages = ({
               }
             };
           }
-          return;
         })
         .filter(Boolean) as ChatCompletionContentPart[];
 
@@ -166,7 +168,7 @@ export const GPTMessages2Chats = (
             } else if (item.type === 'image_url') {
               value.push({
                 //@ts-ignore
-                type: 'file',
+                type: ChatItemValueTypeEnum.file,
                 file: {
                   type: ChatFileTypeEnum.image,
                   name: '',
@@ -175,7 +177,6 @@ export const GPTMessages2Chats = (
               });
             }
           });
-          // @ts-ignore
         }
       } else if (
         obj === ChatRoleEnum.AI &&

packages/global/core/chat/constants.ts

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

packages/global/core/chat/type.d.ts

@@ -1,4 +1,4 @@
-import { ClassifyQuestionAgentItemType } from '../workflow/type';
+import { ClassifyQuestionAgentItemType } from '../workflow/template/system/classifyQuestion/type';
 import { SearchDataResponseItemType } from '../dataset/type';
 import {
   ChatFileTypeEnum,
@@ -13,8 +13,8 @@ import { DispatchNodeResponseKeyEnum } from '../workflow/runtime/constants';
 import { AppChatConfigType, AppSchema, VariableItemType } from '../app/type';
 import type { AppSchema as AppType } from '@fastgpt/global/core/app/type.d';
 import { DatasetSearchModeEnum } from '../dataset/constants';
-import { ChatBoxInputType } from '../../../../projects/app/src/components/ChatBox/type';
 import { DispatchNodeResponseType } from '../workflow/runtime/type.d';
+import { ChatBoxInputType } from '../../../../projects/app/src/components/core/chat/ChatContainer/ChatBox/type';
 
 export type ChatSchema = {
   _id: string;
@@ -115,6 +115,7 @@ export type ChatSiteItemType = (UserChatItemType | SystemChatItemType | AIChatIt
   status: `${ChatStatusEnum}`;
   moduleName?: string;
   ttsBuffer?: Uint8Array;
+  responseData?: ChatHistoryItemResType[];
 } & ChatBoxInputType;
 
 /* --------- team chat --------- */

packages/global/core/chat/utils.ts

@@ -3,6 +3,17 @@ import { FlowNodeTypeEnum } from '../workflow/node/constant';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from './constants';
 import { ChatHistoryItemResType, ChatItemType, UserChatItemValueItemType } from './type.d';
 
+// Concat 2 -> 1, and sort by role
+export const concatHistories = (histories1: ChatItemType[], histories2: ChatItemType[]) => {
+  const newHistories = [...histories1, ...histories2];
+  return newHistories.sort((a, b) => {
+    if (a.obj === ChatRoleEnum.System) {
+      return -1;
+    }
+    return 1;
+  });
+};
+
 export const getChatTitleFromChatMessage = (message?: ChatItemType, defaultValue = '新对话') => {
   // @ts-ignore
   const textMsg = message?.value.find((item) => item.type === ChatItemValueTypeEnum.text);
@@ -54,11 +65,12 @@ export const filterPublicNodeResponseData = ({
 }: {
   flowResponses?: ChatHistoryItemResType[];
 }) => {
-  const filedList = ['quoteList', 'moduleType'];
+  const filedList = ['quoteList', 'moduleType', 'pluginOutput'];
   const filterModuleTypeList: any[] = [
     FlowNodeTypeEnum.pluginModule,
     FlowNodeTypeEnum.datasetSearchNode,
-    FlowNodeTypeEnum.tools
+    FlowNodeTypeEnum.tools,
+    FlowNodeTypeEnum.pluginOutput
   ];
 
   return flowResponses
@@ -78,14 +90,22 @@ export const filterPublicNodeResponseData = ({
     });
 };
 
-export const removeEmptyUserInput = (input: UserChatItemValueItemType[]) => {
-  return input.filter((item) => {
-    if (item.type === ChatItemValueTypeEnum.text && !item.text?.content?.trim()) {
-      return false;
-    }
-    if (item.type === ChatItemValueTypeEnum.file && !item.file?.url) {
-      return false;
-    }
-    return true;
-  });
+export const removeEmptyUserInput = (input?: UserChatItemValueItemType[]) => {
+  return (
+    input?.filter((item) => {
+      if (item.type === ChatItemValueTypeEnum.text && !item.text?.content?.trim()) {
+        return false;
+      }
+      if (item.type === ChatItemValueTypeEnum.file && !item.file?.url) {
+        return false;
+      }
+      return true;
+    }) || []
+  );
+};
+
+export const getPluginOutputsFromChatResponses = (responses: ChatHistoryItemResType[]) => {
+  const outputs =
+    responses.find((item) => item.moduleType === FlowNodeTypeEnum.pluginOutput)?.pluginOutput ?? {};
+  return outputs;
 };

packages/global/core/dataset/api.d.ts

@@ -1,20 +1,21 @@
 import { DatasetDataIndexItemType, DatasetSchemaType } from './type';
 import { TrainingModeEnum, DatasetCollectionTypeEnum } from './constants';
 import type { LLMModelItemType } from '../ai/model.d';
+import { ParentIdType } from 'common/parentFolder/type';
 
 /* ================= dataset ===================== */
 export type DatasetUpdateBody = {
   id: string;
-  parentId?: string;
+  parentId?: ParentIdType;
   name?: string;
   avatar?: string;
   intro?: string;
-  permission?: DatasetSchemaType['permission'];
   agentModel?: LLMModelItemType;
   status?: DatasetSchemaType['status'];
 
   websiteConfig?: DatasetSchemaType['websiteConfig'];
   externalReadUrl?: DatasetSchemaType['externalReadUrl'];
+  defaultPermission?: DatasetSchemaType['defaultPermission'];
 };
 
 /* ================= collection ===================== */

packages/global/core/dataset/collaborator.d.ts

@@ -0,0 +1,11 @@
+import { UpdateClbPermissionProps } from '../../support/permission/collaborator';
+import { PermissionValueType } from '../../support/permission/type';
+
+export type UpdateDatasetCollaboratorBody = UpdateClbPermissionProps & {
+  datasetId: string;
+};
+
+export type DatasetCollaboratorDeleteParams = {
+  datasetId: string;
+  tmbId: string;
+};

packages/global/core/dataset/collection/utils.ts

@@ -1,3 +1,4 @@
+import { DatasetCollectionTypeEnum, TrainingModeEnum, TrainingTypeMap } from '../constants';
 import { CollectionWithDatasetType, DatasetCollectionSchemaType } from '../type';
 
 export const getCollectionSourceData = (
@@ -12,3 +13,13 @@ export const getCollectionSourceData = (
     sourceName: collection?.name || ''
   };
 };
+
+export const checkCollectionIsFolder = (type: DatasetCollectionTypeEnum) => {
+  return type === DatasetCollectionTypeEnum.folder || type === DatasetCollectionTypeEnum.virtual;
+};
+
+export const getTrainingTypeLabel = (type?: TrainingModeEnum) => {
+  if (!type) return '';
+  if (!TrainingTypeMap[type]) return '';
+  return TrainingTypeMap[type].label;
+};

packages/global/core/dataset/constants.ts

@@ -8,22 +8,22 @@ export enum DatasetTypeEnum {
 export const DatasetTypeMap = {
   [DatasetTypeEnum.folder]: {
     icon: 'common/folderFill',
-    label: 'Folder Dataset',
+    label: 'folder_dataset',
     collectionLabel: 'common.Folder'
   },
   [DatasetTypeEnum.dataset]: {
     icon: 'core/dataset/commonDataset',
-    label: 'Common Dataset',
+    label: 'common_dataset',
     collectionLabel: 'common.File'
   },
   [DatasetTypeEnum.websiteDataset]: {
     icon: 'core/dataset/websiteDataset',
-    label: 'Website Dataset',
+    label: 'website_dataset',
     collectionLabel: 'common.Website'
   },
   [DatasetTypeEnum.externalFile]: {
     icon: 'core/dataset/externalDataset',
-    label: 'External File',
+    label: 'external_file',
     collectionLabel: 'common.File'
   }
 };

packages/global/core/dataset/type.d.ts

@@ -1,3 +1,4 @@
+import { PermissionSchemaType } from '../../support/permission/type';
 import type { LLMModelItemType, VectorModelItemType } from '../../core/ai/model.d';
 import { PermissionTypeEnum } from '../../support/permission/constant';
 import { PushDatasetDataChunkProps } from './api';
@@ -8,31 +9,31 @@ import {
   SearchScoreTypeEnum,
   TrainingModeEnum
 } from './constants';
+import { DatasetPermission } from '../../support/permission/dataset/controller';
+import { Permission } from '../../support/permission/controller';
 
-/* schema */
 export type DatasetSchemaType = {
   _id: string;
-  parentId: string;
+  parentId?: string;
   userId: string;
   teamId: string;
   tmbId: string;
   updateTime: Date;
+
   avatar: string;
   name: string;
   vectorModel: string;
   agentModel: string;
   intro: string;
-  type: DatasetTypeEnum;
+  type: `${DatasetTypeEnum}`;
   status: `${DatasetStatusEnum}`;
-  permission: `${PermissionTypeEnum}`;
-
-  // metadata
   websiteConfig?: {
     url: string;
     selector: string;
   };
   externalReadUrl?: string;
-};
+} & PermissionSchemaType;
+// } & PermissionSchemaType;
 
 export type DatasetCollectionSchemaType = {
   _id: string;
@@ -44,6 +45,7 @@ export type DatasetCollectionSchemaType = {
   type: DatasetCollectionTypeEnum;
   createTime: Date;
   updateTime: Date;
+  forbid?: boolean;
 
   trainingType: TrainingModeEnum;
   chunkSize: number;
@@ -85,6 +87,7 @@ export type DatasetDataSchemaType = {
   updateTime: Date;
   q: string; // large chunks or question
   a: string; // answer or custom content
+  forbid?: boolean;
   fullTextToken: string;
   indexes: DatasetDataIndexItemType[];
   rebuilding?: boolean;
@@ -127,29 +130,26 @@ export type DatasetSimpleItemType = {
 };
 export type DatasetListItemType = {
   _id: string;
-  parentId: string;
   avatar: string;
   name: string;
   intro: string;
-  type: DatasetTypeEnum;
-  isOwner: boolean;
-  canWrite: boolean;
-  permission: `${PermissionTypeEnum}`;
+  type: `${DatasetTypeEnum}`;
+  permission: DatasetPermission;
   vectorModel: VectorModelItemType;
-};
+} & PermissionSchemaType;
+
 export type DatasetItemType = Omit<DatasetSchemaType, 'vectorModel' | 'agentModel'> & {
   vectorModel: VectorModelItemType;
   agentModel: LLMModelItemType;
-  isOwner: boolean;
-  canWrite: boolean;
+  permission: DatasetPermission;
 };
 
 /* ================= collection ===================== */
 export type DatasetCollectionItemType = CollectionWithDatasetType & {
-  canWrite: boolean;
   sourceName: string;
   sourceId?: string;
   file?: DatasetFileSchema;
+  permission: DatasetPermission;
 };
 
 /* ================= data ===================== */
@@ -177,10 +177,9 @@ export type DatasetFileSchema = {
   filename: string;
   contentType: string;
   metadata: {
-    contentType: string;
-    datasetId: string;
     teamId: string;
     tmbId: string;
+    encoding?: string;
   };
 };
 

packages/global/core/dataset/utils.ts

@@ -24,13 +24,15 @@ export function getSourceNameIcon({
   sourceName: string;
   sourceId?: string;
 }) {
-  const fileIcon = getFileIcon(decodeURIComponent(sourceName), '');
-  if (fileIcon) {
-    return fileIcon;
-  }
-  if (strIsLink(sourceId)) {
-    return 'common/linkBlue';
-  }
+  try {
+    const fileIcon = getFileIcon(decodeURIComponent(sourceName.replace(/%/g, '%25')), '');
+    if (fileIcon) {
+      return fileIcon;
+    }
+    if (strIsLink(sourceId)) {
+      return 'common/linkBlue';
+    }
+  } catch (error) {}
 
   return 'file/fill/manual';
 }

packages/global/core/plugin/constants.ts

@@ -1,5 +1,3 @@
-import { StoreNodeItemType } from '../workflow/type';
-
 export enum PluginTypeEnum {
   folder = 'folder',
   custom = 'custom',

packages/global/core/plugin/controller.d.ts

@@ -1,7 +1,7 @@
 import { StoreEdgeItemType } from 'core/workflow/type/edge';
-import type { StoreNodeItemType } from '../workflow/type';
+import type { StoreNodeItemType } from '../workflow/type/node';
 import { PluginTypeEnum } from './constants';
-import { HttpAuthMethodType } from './httpPlugin/type';
+import { HttpAuthMethodType } from '../app/httpPlugin/type';
 
 export type CreateOnePluginParams = {
   name: string;

packages/global/core/plugin/type.d.ts

@@ -1,8 +1,9 @@
 import { StoreEdgeItemType } from 'core/workflow/type/edge';
 import { ModuleTemplateTypeEnum } from '../workflow/constants';
-import type { FlowModuleTemplateType, StoreNodeItemType } from '../workflow/type';
+import type { StoreNodeItemType } from '../workflow/type/node';
 import { PluginSourceEnum, PluginTypeEnum } from './constants';
 import { MethodType } from './controller';
+import { FlowNodeTemplateType } from '../workflow/type/node';
 
 export type PluginItemSchema = {
   _id: string;
@@ -24,16 +25,17 @@ export type PluginItemSchema = {
   };
   version?: 'v1' | 'v2';
   nodeVersion?: string;
+  inited?: boolean;
 };
 
 /* plugin template */
 export type PluginTemplateType = PluginRuntimeType & {
   author?: string;
   id: string;
-  source: `${PluginSourceEnum}`;
+  source: PluginSourceEnum;
   templateType: FlowNodeTemplateType['templateType'];
   intro: string;
-  nodeVersion: string;
+  version: string;
 };
 
 export type PluginRuntimeType = {

packages/global/core/workflow/api.d.ts

@@ -4,7 +4,7 @@ import { NodeInputKeyEnum } from './constants';
 export type SelectedDatasetType = { datasetId: string }[];
 
 export type HttpBodyType<T = Record<string, any>> = {
-  [NodeInputKeyEnum.addInputParam]: Record<string, any>;
+  // [NodeInputKeyEnum.addInputParam]: Record<string, any>;
 } & T;
 export type HttpQueryType = {
   appId: string;

packages/global/core/workflow/constants.ts

@@ -1,13 +1,15 @@
 export enum FlowNodeTemplateTypeEnum {
   systemInput = 'systemInput',
+  ai = 'ai',
+  function = 'function',
   tools = 'tools',
-  textAnswer = 'textAnswer',
-  functionCall = 'functionCall',
-  externalCall = 'externalCall',
 
-  personalPlugin = 'personalPlugin',
+  search = 'search',
+  multimodal = 'multimodal',
+  communication = 'communication',
 
-  other = 'other'
+  other = 'other',
+  teamApp = 'teamApp'
 }
 
 export enum WorkflowIOValueTypeEnum {
@@ -84,6 +86,9 @@ export enum NodeInputKeyEnum {
   datasetSearchExtensionModel = 'datasetSearchExtensionModel',
   datasetSearchExtensionBg = 'datasetSearchExtensionBg',
 
+  // concat dataset
+  datasetQuoteList = 'system_datasetQuoteList',
+
   // context extract
   contextExtractInput = 'content',
   extractKeys = 'extractKeys',
@@ -180,8 +185,6 @@ export const variableMap = {
   }
 };
 
-export const DYNAMIC_INPUT_REFERENCE_KEY = 'DYNAMIC_INPUT_REFERENCE_KEY';
-
 /* run time */
 export enum RuntimeEdgeStatusEnum {
   'waiting' = 'waiting',
@@ -190,3 +193,4 @@ export enum RuntimeEdgeStatusEnum {
 }
 
 export const VARIABLE_NODE_ID = 'VARIABLE_NODE_ID';
+export const DYNAMIC_INPUT_REFERENCE_KEY = 'DYNAMIC_INPUT_REFERENCE_KEY';

packages/global/core/workflow/node/constant.ts

@@ -1,8 +1,11 @@
+import { WorkflowIOValueTypeEnum } from '../constants';
+
 export enum FlowNodeInputTypeEnum { // render ui
   reference = 'reference', // reference to other node output
   input = 'input', // one line input
   numberInput = 'numberInput',
   switch = 'switch', // true/false
+  select = 'select',
 
   // editor
   textarea = 'textarea',
@@ -22,8 +25,6 @@ export enum FlowNodeInputTypeEnum { // render ui
   selectDatasetParamsModal = 'selectDatasetParamsModal',
   settingDatasetQuotePrompt = 'settingDatasetQuotePrompt',
 
-  select = 'select',
-
   hidden = 'hidden',
   custom = 'custom'
 }
@@ -114,7 +115,97 @@ export enum FlowNodeTypeEnum {
   lafModule = 'lafModule',
   ifElseNode = 'ifElseNode',
   variableUpdate = 'variableUpdate',
-  code = 'code'
+  code = 'code',
+  textEditor = 'textEditor',
+  customFeedback = 'customFeedback'
 }
 
+// node IO value type
+export const FlowValueTypeMap = {
+  [WorkflowIOValueTypeEnum.string]: {
+    label: 'string',
+    value: WorkflowIOValueTypeEnum.string,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.number]: {
+    label: 'number',
+    value: WorkflowIOValueTypeEnum.number,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.boolean]: {
+    label: 'boolean',
+    value: WorkflowIOValueTypeEnum.boolean,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.object]: {
+    label: 'object',
+    value: WorkflowIOValueTypeEnum.object,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.arrayString]: {
+    label: 'array<string>',
+    value: WorkflowIOValueTypeEnum.arrayString,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.arrayNumber]: {
+    label: 'array<number>',
+    value: WorkflowIOValueTypeEnum.arrayNumber,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.arrayBoolean]: {
+    label: 'array<boolean>',
+    value: WorkflowIOValueTypeEnum.arrayBoolean,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.arrayObject]: {
+    label: 'array<object>',
+    value: WorkflowIOValueTypeEnum.arrayObject,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.any]: {
+    label: 'any',
+    value: WorkflowIOValueTypeEnum.any,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.chatHistory]: {
+    label: '历史记录',
+    value: WorkflowIOValueTypeEnum.chatHistory,
+    description: `{
+  obj: System | Human | AI;
+  value: string;
+}[]`
+  },
+  [WorkflowIOValueTypeEnum.datasetQuote]: {
+    label: '知识库引用',
+    value: WorkflowIOValueTypeEnum.datasetQuote,
+    description: `{
+  id: string;
+  datasetId: string;
+  collectionId: string;
+  sourceName: string;
+  sourceId?: string;
+  q: string;
+  a: string
+}[]`
+  },
+  [WorkflowIOValueTypeEnum.selectApp]: {
+    label: '选择应用',
+    value: WorkflowIOValueTypeEnum.selectApp,
+    description: ''
+  },
+  [WorkflowIOValueTypeEnum.selectDataset]: {
+    label: '选择知识库',
+    value: WorkflowIOValueTypeEnum.selectDataset,
+    description: `{
+  datasetId: string;
+}`
+  },
+  [WorkflowIOValueTypeEnum.dynamic]: {
+    label: '动态输入',
+    value: WorkflowIOValueTypeEnum.dynamic,
+    description: ''
+  }
+};
+
 export const EDGE_TYPE = 'default';
+export const defaultNodeVersion = '481';

packages/global/core/workflow/node/io/utils.ts

@@ -0,0 +1,17 @@
+import { FlowNodeInputItemType } from '../../type/io';
+
+export const getInputComponentProps = (input: FlowNodeInputItemType) => {
+  return {
+    referencePlaceholder: input.referencePlaceholder,
+    placeholder: input.placeholder,
+    maxLength: input.maxLength,
+    list: input.list,
+    markList: input.markList,
+    step: input.step,
+    max: input.max,
+    min: input.min,
+    defaultValue: input.defaultValue,
+    llmModelType: input.llmModelType,
+    customInputConfig: input.customInputConfig
+  };
+};

packages/global/core/workflow/node/type.d.ts

@@ -1,39 +0,0 @@
-/* 
-  react flow type
-*/
-import { FlowNodeInputTypeEnum, FlowNodeOutputTypeEnum, FlowNodeTypeEnum } from './constant';
-import { WorkflowIOValueTypeEnum, NodeInputKeyEnum, NodeOutputKeyEnum } from '../constants';
-import { SelectedDatasetType } from '../api';
-import { LLMModelTypeEnum } from '../../ai/constants';
-
-/* --------------- edit field ------------------- */
-export type EditInputFieldMapType = EditOutputFieldMapType & {
-  inputType?: boolean;
-};
-export type EditOutputFieldMapType = {
-  key?: boolean;
-  description?: boolean;
-  valueType?: boolean; // output
-  required?: boolean;
-  defaultValue?: boolean;
-};
-export type EditNodeFieldType = {
-  inputType?: FlowNodeInputTypeEnum; // input type
-  valueType?: WorkflowIOValueTypeEnum;
-  required?: boolean;
-  key?: string;
-  label?: string;
-  description?: string;
-  isToolInput?: boolean;
-
-  defaultValue?: string;
-  maxLength?: number;
-  max?: number;
-  min?: number;
-  editField?: EditInputFieldMapType;
-  dynamicParamDefaultValue?: {
-    inputType?: FlowNodeInputTypeEnum; // input type
-    valueType?: WorkflowIOValueTypeEnum;
-    required?: boolean;
-  };
-};

packages/global/core/workflow/runtime/type.d.ts

@@ -1,11 +1,56 @@
 import { ChatNodeUsageType } from '../../../support/wallet/bill/type';
-import { ChatItemValueItemType, ToolRunResponseItemType } from '../../chat/type';
+import {
+  ChatItemType,
+  UserChatItemValueItemType,
+  ChatItemValueItemType,
+  ToolRunResponseItemType
+} from '../../chat/type';
 import { FlowNodeInputItemType, FlowNodeOutputItemType } from '../type/io.d';
-import { StoreNodeItemType } from '../type';
+import { StoreNodeItemType } from '../type/node';
 import { DispatchNodeResponseKeyEnum } from './constants';
 import { StoreEdgeItemType } from '../type/edge';
 import { NodeInputKeyEnum } from '../constants';
+import { ClassifyQuestionAgentItemType } from '../template/system/classifyQuestion/type';
+import { NextApiResponse } from 'next';
+import { UserModelSchema } from '../../../support/user/type';
+import { AppDetailType, AppSchema } from '../../app/type';
+import { RuntimeNodeItemType } from '../runtime/type';
+import { RuntimeEdgeItemType } from './edge';
 
+/* workflow props */
+export type ChatDispatchProps = {
+  res?: NextApiResponse;
+  mode: 'test' | 'chat' | 'debug';
+  teamId: string;
+  tmbId: string;
+  user: UserModelSchema;
+  app: AppDetailType | AppSchema;
+  chatId?: string;
+  responseChatItemId?: string;
+  histories: ChatItemType[];
+  variables: Record<string, any>; // global variable
+  query: UserChatItemValueItemType[]; // trigger query
+  stream: boolean;
+  detail: boolean; // response detail
+  maxRunTimes: number;
+  isToolCall?: boolean;
+};
+
+export type ModuleDispatchProps<T> = ChatDispatchProps & {
+  node: RuntimeNodeItemType;
+  runtimeNodes: RuntimeNodeItemType[];
+  runtimeEdges: RuntimeEdgeItemType[];
+  params: T;
+};
+
+export type SystemVariablesType = {
+  appId: string;
+  chatId?: string;
+  responseChatItemId?: string;
+  histories: ChatItemType[];
+};
+
+/* node props */
 export type RuntimeNodeItemType = {
   nodeId: StoreNodeItemType['nodeId'];
   name: StoreNodeItemType['name'];
@@ -21,6 +66,17 @@ export type RuntimeNodeItemType = {
   pluginId?: string;
 };
 
+export type PluginRuntimeType = {
+  id: string;
+  teamId?: string;
+  name: string;
+  avatar: string;
+  showStatus?: boolean;
+  currentCost?: number;
+  nodes: StoreNodeItemType[];
+  edges: StoreEdgeItemType[];
+};
+
 export type RuntimeEdgeItemType = StoreEdgeItemType & {
   status: 'waiting' | 'active' | 'skipped';
 };
@@ -87,6 +143,9 @@ export type DispatchNodeResponseType = {
 
   // code
   codeLog?: string;
+
+  // plugin
+  pluginOutput?: Record<string, any>;
 };
 
 export type DispatchNodeResultType<T> = {

packages/global/core/workflow/runtime/utils.ts

@@ -1,7 +1,7 @@
 import { ChatCompletionRequestMessageRoleEnum } from '../../ai/constants';
 import { NodeInputKeyEnum, NodeOutputKeyEnum } from '../constants';
 import { FlowNodeTypeEnum } from '../node/constant';
-import { StoreNodeItemType } from '../type';
+import { StoreNodeItemType } from '../type/node';
 import { StoreEdgeItemType } from '../type/edge';
 import { RuntimeEdgeItemType, RuntimeNodeItemType } from './type';
 import { VARIABLE_NODE_ID } from '../constants';
@@ -123,6 +123,7 @@ export const checkNodeRunStatus = ({
     (item) => item.target === node.nodeId
   );
 
+  // Entry
   if (workflowEdges.length === 0) {
     return 'run';
   }

packages/global/core/workflow/template/constants.ts

@@ -5,88 +5,66 @@ import { AiChatModule } from './system/aiChat';
 import { DatasetSearchModule } from './system/datasetSearch';
 import { DatasetConcatModule } from './system/datasetConcat';
 import { AssignedAnswerModule } from './system/assignedAnswer';
-import { ClassifyQuestionModule } from './system/classifyQuestion';
-import { ContextExtractModule } from './system/contextExtract';
-import { HttpModule468 } from './system/http468';
+import { ClassifyQuestionModule } from './system/classifyQuestion/index';
+import { ContextExtractModule } from './system/contextExtract/index';
+import { HttpNode468 } from './system/http468';
 
 import { ToolModule } from './system/tools';
 import { StopToolNode } from './system/stopTool';
 
-import { RunAppModule } from './system/runApp';
+import { RunAppModule } from './system/runApp/index';
 import { PluginInputModule } from './system/pluginInput';
 import { PluginOutputModule } from './system/pluginOutput';
 import { RunPluginModule } from './system/runPlugin';
 import { AiQueryExtension } from './system/queryExtension';
 
-import type { FlowNodeTemplateType } from '../type';
+import type { FlowNodeTemplateType } from '../type/node';
 import { LafModule } from './system/laf';
 import { IfElseNode } from './system/ifElse/index';
 import { VariableUpdateNode } from './system/variableUpdate';
 import { CodeNode } from './system/sandbox';
+import { TextEditorNode } from './system/textEditor';
+import { CustomFeedbackNode } from './system/customFeedback';
 
-/* app flow module templates */
-export const appSystemModuleTemplates: FlowNodeTemplateType[] = [
-  SystemConfigNode,
-  WorkflowStart,
+const systemNodes: FlowNodeTemplateType[] = [
   AiChatModule,
+  TextEditorNode,
   AssignedAnswerModule,
   DatasetSearchModule,
   DatasetConcatModule,
-  RunAppModule,
   ToolModule,
   StopToolNode,
   ClassifyQuestionModule,
   ContextExtractModule,
-  HttpModule468,
+  HttpNode468,
   AiQueryExtension,
   LafModule,
   IfElseNode,
   VariableUpdateNode,
-  CodeNode
+  CodeNode,
+  RunAppModule
+];
+/* app flow module templates */
+export const appSystemModuleTemplates: FlowNodeTemplateType[] = [
+  SystemConfigNode,
+  WorkflowStart,
+  ...systemNodes,
+  CustomFeedbackNode
 ];
 /* plugin flow module templates */
 export const pluginSystemModuleTemplates: FlowNodeTemplateType[] = [
   PluginInputModule,
   PluginOutputModule,
-  AiChatModule,
-  AssignedAnswerModule,
-  DatasetSearchModule,
-  DatasetConcatModule,
-  RunAppModule,
-  ToolModule,
-  StopToolNode,
-  ClassifyQuestionModule,
-  ContextExtractModule,
-  HttpModule468,
-  AiQueryExtension,
-  LafModule,
-  IfElseNode,
-  VariableUpdateNode,
-  CodeNode
+  ...systemNodes
 ];
 
 /* all module */
 export const moduleTemplatesFlat: FlowNodeTemplateType[] = [
+  ...appSystemModuleTemplates.concat(
+    pluginSystemModuleTemplates.filter(
+      (item) => !appSystemModuleTemplates.find((app) => app.id === item.id)
+    )
+  ),
   EmptyNode,
-  SystemConfigNode,
-  WorkflowStart,
-  AiChatModule,
-  DatasetSearchModule,
-  DatasetConcatModule,
-  AssignedAnswerModule,
-  ClassifyQuestionModule,
-  ContextExtractModule,
-  HttpModule468,
-  ToolModule,
-  StopToolNode,
-  AiChatModule,
-  RunAppModule,
-  PluginInputModule,
-  PluginOutputModule,
-  RunPluginModule,
-  AiQueryExtension,
-  LafModule,
-  IfElseNode,
-  VariableUpdateNode,
-  CodeNode
+  RunPluginModule
 ];

packages/global/core/workflow/template/output.ts

@@ -9,9 +9,9 @@ export const Output_Template_AddOutput: FlowNodeOutputItemType = {
   type: FlowNodeOutputTypeEnum.dynamic,
   valueType: WorkflowIOValueTypeEnum.dynamic,
   label: '',
-
-  editField: {
-    key: true,
-    valueType: true
+  customFieldConfig: {
+    selectValueTypeList: Object.values(WorkflowIOValueTypeEnum),
+    showDescription: false,
+    showDefaultValue: false
   }
 };

packages/global/core/workflow/template/system/aiChat.ts

@@ -3,7 +3,7 @@ import {
   FlowNodeOutputTypeEnum,
   FlowNodeTypeEnum
 } from '../../node/constant';
-import { FlowNodeTemplateType } from '../../type';
+import { FlowNodeTemplateType } from '../../type/node';
 import {
   WorkflowIOValueTypeEnum,
   NodeInputKeyEnum,
@@ -22,11 +22,11 @@ import { getHandleConfig } from '../utils';
 
 export const AiChatModule: FlowNodeTemplateType = {
   id: FlowNodeTypeEnum.chatNode,
-  templateType: FlowNodeTemplateTypeEnum.textAnswer,
+  templateType: FlowNodeTemplateTypeEnum.ai,
   flowNodeType: FlowNodeTypeEnum.chatNode,
   sourceHandle: getHandleConfig(true, true, true, true),
   targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/AI.png',
+  avatar: 'core/workflow/template/aiChat',
   name: 'AI 对话',
   intro: 'AI 大模型对话',
   showStatus: true,

packages/global/core/workflow/template/system/assignedAnswer.ts

@@ -1,5 +1,5 @@
 import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../node/constant';
-import { FlowNodeTemplateType } from '../../type/index.d';
+import { FlowNodeTemplateType } from '../../type/node.d';
 import {
   WorkflowIOValueTypeEnum,
   NodeInputKeyEnum,
@@ -9,11 +9,11 @@ import { getHandleConfig } from '../utils';
 
 export const AssignedAnswerModule: FlowNodeTemplateType = {
   id: FlowNodeTypeEnum.answerNode,
-  templateType: FlowNodeTemplateTypeEnum.textAnswer,
+  templateType: FlowNodeTemplateTypeEnum.tools,
   flowNodeType: FlowNodeTypeEnum.answerNode,
   sourceHandle: getHandleConfig(true, true, true, true),
   targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/reply.png',
+  avatar: 'core/workflow/template/reply',
   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。非字符串内容传入时，会转成字符串进行输出。',

packages/global/core/workflow/template/system/classifyQuestion/index.ts

@@ -2,30 +2,30 @@ import {
   FlowNodeInputTypeEnum,
   FlowNodeOutputTypeEnum,
   FlowNodeTypeEnum
-} from '../../node/constant';
-import { FlowNodeTemplateType } from '../../type';
+} from '../../../node/constant';
+import { FlowNodeTemplateType } from '../../../type/node';
 import {
   WorkflowIOValueTypeEnum,
   NodeInputKeyEnum,
   FlowNodeTemplateTypeEnum,
   NodeOutputKeyEnum
-} from '../../constants';
+} from '../../../constants';
 import {
   Input_Template_SelectAIModel,
   Input_Template_History,
   Input_Template_UserChatInput
-} from '../input';
-import { Input_Template_System_Prompt } from '../input';
-import { LLMModelTypeEnum } from '../../../ai/constants';
-import { getHandleConfig } from '../utils';
+} from '../../input';
+import { Input_Template_System_Prompt } from '../../input';
+import { LLMModelTypeEnum } from '../../../../ai/constants';
+import { getHandleConfig } from '../../utils';
 
 export const ClassifyQuestionModule: FlowNodeTemplateType = {
   id: FlowNodeTypeEnum.classifyQuestion,
-  templateType: FlowNodeTemplateTypeEnum.functionCall,
+  templateType: FlowNodeTemplateTypeEnum.ai,
   flowNodeType: FlowNodeTypeEnum.classifyQuestion,
   sourceHandle: getHandleConfig(false, false, false, false),
   targetHandle: getHandleConfig(true, false, true, true),
-  avatar: '/imgs/workflow/cq.png',
+  avatar: 'core/workflow/template/questionClassify',
   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: 关于商品“使用”问题\n类型3: 关于商品“购买”问题\n类型4: 其他问题`,
   showStatus: true,

packages/global/core/workflow/template/system/classifyQuestion/type.d.ts

@@ -0,0 +1,4 @@
+export type ClassifyQuestionAgentItemType = {
+  value: string;
+  key: string;
+};

packages/global/core/workflow/template/system/contextExtract/index.ts

@@ -2,25 +2,25 @@ import {
   FlowNodeInputTypeEnum,
   FlowNodeOutputTypeEnum,
   FlowNodeTypeEnum
-} from '../../node/constant';
-import { FlowNodeTemplateType } from '../../type';
+} from '../../../node/constant';
+import { FlowNodeTemplateType } from '../../../type/node';
 import {
   WorkflowIOValueTypeEnum,
   NodeInputKeyEnum,
   NodeOutputKeyEnum,
   FlowNodeTemplateTypeEnum
-} from '../../constants';
-import { Input_Template_SelectAIModel, Input_Template_History } from '../input';
-import { LLMModelTypeEnum } from '../../../ai/constants';
-import { getHandleConfig } from '../utils';
+} from '../../../constants';
+import { Input_Template_SelectAIModel, Input_Template_History } from '../../input';
+import { LLMModelTypeEnum } from '../../../../ai/constants';
+import { getHandleConfig } from '../../utils';
 
 export const ContextExtractModule: FlowNodeTemplateType = {
   id: FlowNodeTypeEnum.contentExtract,
-  templateType: FlowNodeTemplateTypeEnum.functionCall,
+  templateType: FlowNodeTemplateTypeEnum.ai,
   flowNodeType: FlowNodeTypeEnum.contentExtract,
   sourceHandle: getHandleConfig(true, true, true, true),
   targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/extract.png',
+  avatar: 'core/workflow/template/extractJson',
   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,

packages/global/core/workflow/template/system/contextExtract/type.d.ts

@@ -0,0 +1,8 @@
+export type ContextExtractAgentItemType = {
+  valueType: 'string' | 'number' | 'boolean';
+  desc: string;
+  key: string;
+  required: boolean;
+  defaultValue?: string;
+  enum?: string;
+};

packages/global/core/workflow/template/system/customFeedback.ts

@@ -0,0 +1,30 @@
+import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../node/constant';
+import { FlowNodeTemplateType } from '../../type/node.d';
+import {
+  WorkflowIOValueTypeEnum,
+  FlowNodeTemplateTypeEnum,
+  NodeInputKeyEnum
+} from '../../constants';
+import { getHandleConfig } from '../utils';
+
+export const CustomFeedbackNode: FlowNodeTemplateType = {
+  id: FlowNodeTypeEnum.customFeedback,
+  templateType: FlowNodeTemplateTypeEnum.other,
+  flowNodeType: FlowNodeTypeEnum.customFeedback,
+  sourceHandle: getHandleConfig(true, true, true, true),
+  targetHandle: getHandleConfig(true, true, true, true),
+  avatar: 'core/workflow/template/customFeedback',
+  name: '自定义反馈',
+  intro: '该模块被触发时，会给当前的对话记录增加一条反馈。可用于自动记录对话效果等。',
+  version: '486',
+  inputs: [
+    {
+      key: NodeInputKeyEnum.textareaInput,
+      renderTypeList: [FlowNodeInputTypeEnum.textarea, FlowNodeInputTypeEnum.reference],
+      valueType: WorkflowIOValueTypeEnum.string,
+      required: true,
+      label: '反馈的文本'
+    }
+  ],
+  outputs: []
+};

packages/global/core/workflow/template/system/datasetConcat.ts

@@ -3,7 +3,7 @@ import {
   FlowNodeOutputTypeEnum,
   FlowNodeTypeEnum
 } from '../../node/constant';
-import { FlowNodeTemplateType } from '../../type';
+import { FlowNodeTemplateType } from '../../type/node';
 import {
   WorkflowIOValueTypeEnum,
   NodeInputKeyEnum,
@@ -27,8 +27,7 @@ export const getOneQuoteInputTemplate = ({
   renderTypeList: [FlowNodeInputTypeEnum.reference],
   label: `引用${index}`,
   debugLabel: '知识库引用',
-  canEdit: key !== defaultQuoteKey,
-  description: '',
+  canEdit: true,
   valueType: WorkflowIOValueTypeEnum.datasetQuote
 });
 
@@ -38,11 +37,11 @@ export const DatasetConcatModule: FlowNodeTemplateType = {
   templateType: FlowNodeTemplateTypeEnum.other,
   sourceHandle: getHandleConfig(true, true, true, true),
   targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/concat.svg',
+  avatar: 'core/workflow/template/datasetConcat',
   name: '知识库搜索引用合并',
   intro: '可以将多个知识库搜索结果进行合并输出。使用 RRF 的合并方式进行最终排序输出。',
   showStatus: false,
-  version: '481',
+  version: '486',
   inputs: [
     {
       key: NodeInputKeyEnum.datasetMaxTokens,
@@ -52,11 +51,11 @@ export const DatasetConcatModule: FlowNodeTemplateType = {
       valueType: WorkflowIOValueTypeEnum.number
     },
     {
-      key: 'customComponent',
+      key: NodeInputKeyEnum.datasetQuoteList,
       renderTypeList: [FlowNodeInputTypeEnum.custom],
       label: ''
-    },
-    getOneQuoteInputTemplate({ key: defaultQuoteKey, index: 1 })
+    }
+    // getOneQuoteInputTemplate({ key: defaultQuoteKey, index: 1 })
   ],
   outputs: [
     {