chore(notification bind): team member notification bind hint text (#2295)

adjusting

.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

@@ -0,0 +1,96 @@
+name: Build fastgpt-sandbox images and copy image to docker hub
+on:
+  workflow_dispatch:
+  push:
+    paths:
+      - 'projects/sandbox/**'
+    tags:
+      - 'v*'
+jobs:
+  build-fastgpt-sandbox-images:
+    runs-on: ubuntu-20.04
+    steps:
+      # install env
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+      - name: Install Dependencies
+        run: |
+          sudo apt update && sudo apt install -y nodejs npm
+      - name: Set up QEMU (optional)
+        uses: docker/setup-qemu-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v2
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
+
+      # 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: 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 "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" >> $GITHUB_ENV
+          else
+            echo "Git_Tag=ghcr.io/${{ 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:
+          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: ${{ env.Docker_Hub_Latest }}
+        run: |
+          docker buildx build \
+          -f projects/sandbox/Dockerfile \
+          --platform linux/amd64,linux/arm64 \
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/fastgpt-sandbox" \
+          --label "org.opencontainers.image.description=fastgpt-sandbox image" \
+          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${Git_Tag} \
+          -t ${Git_Latest} \
+          -t ${Ali_Tag} \
+          -t ${Ali_Latest} \
+          -t ${Docker_Hub_Tag} \
+          -t ${Docker_Hub_Latest} \
+          .

.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/docs-deploy-vercel.yml

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

.github/workflows/docs-preview.yml

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

.github/workflows/fastgpt-image.yml

@@ -11,6 +11,7 @@ jobs:
   build-fastgpt-images:
     runs-on: ubuntu-20.04
     steps:
+      # install env
       - name: Checkout
         uses: actions/checkout@v3
         with:
@@ -31,82 +32,61 @@ 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: ${{ secrets.GH_PAT }}
-      - name: Set DOCKER_REPO_TAGGED based on branch or tag
-        run: |
-          if [[ "${{ github.ref_name }}" == "main" ]]; then
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
-          else
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
-          fi
-      - name: Build and publish image for main branch or tag push event
-        env:
-          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
-        run: |
-          docker buildx build \
-          --build-arg name=app \
-          --platform linux/amd64,linux/arm64 \
-          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
-          --label "org.opencontainers.image.description=fastgpt image" \
-          --push \
-          --cache-from=type=local,src=/tmp/.buildx-cache \
-          --cache-to=type=local,dest=/tmp/.buildx-cache \
-          -t ${DOCKER_REPO_TAGGED} \
-          -f Dockerfile \
-          .
-  push-to-docker-hub:
-    needs: build-fastgpt-images
-    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}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
-      - name: Push image to Docker Hub
-        run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{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
+      - 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 "IMAGE_TAG=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" >> $GITHUB_ENV
           else
-            echo "IMAGE_TAG=${{ 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" >> $GITHUB_ENV
           fi
-      - name: Pull image from GitHub Container Registry
-        run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
-      - name: Tag image with Docker Hub repository name and version tag
-        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
-      - name: Push image to Docker Hub
-        run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+
+      - name: Build and publish image for main branch or tag push event
+        env:
+          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+        run: |
+          docker buildx build \
+          -f projects/app/Dockerfile \
+          --platform linux/amd64,linux/arm64 \
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
+          --label "org.opencontainers.image.description=fastgpt image" \
+          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${Git_Tag} \
+          -t ${Git_Latest} \
+          -t ${Ali_Tag} \
+          -t ${Ali_Latest} \
+          -t ${Docker_Hub_Tag} \
+          -t ${Docker_Hub_Latest} \
+          .

.github/workflows/helm-release.yaml

@@ -24,11 +24,6 @@ jobs:
           export APP_VERSION=${{ steps.vars.outputs.tag }}
           export HELM_VERSION=${{ steps.vars.outputs.tag }}
           export HELM_REPO=ghcr.io/${{ github.repository_owner }}
-          if [[ ! "$line" =~ ^v ]]
-          then
-            unset APP_VERSION
-            unset HELM_VERSION
-          fi
           helm dependency update files/helm/fastgpt
           helm package files/helm/fastgpt --version ${HELM_VERSION}-helm --app-version ${APP_VERSION} -d bin
           helm push bin/fastgpt-${HELM_VERSION}-helm.tgz oci://${HELM_REPO}

.github/workflows/preview-image.yml

@@ -4,12 +4,10 @@ on:
     paths:
       - 'projects/app/**'
       - 'packages/**'
-    branches:
-      - 'main'
   workflow_dispatch:
 
 jobs:
-  build-fastgpt-images:
+  preview-fastgpt-images:
     runs-on: ubuntu-20.04
     steps:
       - name: Checkout
@@ -44,15 +42,14 @@ jobs:
           DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
         run: |
           docker buildx build \
-          --build-arg name=app \
-          --label "org.opencontainers.image.source=  https://github.com/  ${{ github.repository_owner }}/FastGPT" \
-          --label "org.opencontainers.image.description=fastgpt-pr image" \
+          -f projects/app/Dockerfile \
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
+          --label "org.opencontainers.image.description=fastgpt-pr imae" \
           --label "org.opencontainers.image.licenses=Apache" \
           --push \
           --cache-from=type=local,src=/tmp/.buildx-cache \
           --cache-to=type=local,dest=/tmp/.buildx-cache \
           -t ${DOCKER_REPO_TAGGED} \
-          -f Dockerfile \
           .
 
   helm-check:

.npmrc

@@ -1 +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/nextapi.code-snippets

@@ -35,17 +35,19 @@
 		"scope": "typescriptreact",
 		"prefix": "context",
 		"body": [
-			"import { ReactNode } from 'react';",
+			"import React, { ReactNode } from 'react';",
 			"import { createContext } from 'use-context-selector';",
 			"",
 			"type ContextType = {$1};",
 			"",
 			"export const Context = createContext<ContextType>({});",
 			"",
-			"export const ContextProvider = ({ children }: { children: ReactNode }) => {",
+			"const ContextProvider = ({ children }: { children: ReactNode }) => {",
 			"  const contextValue: ContextType = {};",
 			"  return <Context.Provider value={contextValue}>{children}</Context.Provider>;",
 			"};",
+			"",
+			"export default ContextProvider"
 		],
 		"description": "FastGPT usecontext template"
 	}

.vscode/settings.json

@@ -1,16 +1,28 @@
 {
     "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",
+    "i18n-ally.translate.engines": ["deepl", "google"],
+    "[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.
 

Makefile

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

README.md

@@ -52,11 +52,10 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
 `1` 应用编排能力
    - [x] 提供简易模式，无需操作编排
    - [x] 工作流编排
-   - [x] 源文件引用追踪
-   - [x] 模块封装，实现多级复用
-   - [x] Tool 模块
-   - [ ] 嵌入 [Laf](https://github.com/labring/laf)，实现在线编写 HTTP 模块。初版已完成。
-   - [ ] 插件封装功能，支持低代码渲染
+   - [x] 工具调用
+   - [x] 插件 - 工作流封装能力
+   - [x] Code sandbox
+   - [ ] 循环调用
 
 `2` 知识库能力
    - [x] 多库复用，混用
@@ -66,15 +65,14 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
    - [x] 支持 txt，md，html，pdf，docx，pptx，csv，xlsx (有需要更多可 PR file loader)
    - [x] 支持 url 读取、CSV 批量导入
    - [x] 混合检索 & 重排
-   - [ ] 支持文件阅读器
-   - [ ] 更多的数据预处理方案
+   - [ ] 标签过滤
   
 `3` 应用调试能力
    - [x] 知识库单点搜索测试
    - [x] 对话时反馈引用并可修改与删除
    - [x] 完整上下文呈现
    - [x] 完整模块中间值呈现
-   - [ ] 高级编排 DeBug 模式
+   - [x] 高级编排 DeBug 模式
   
 `4` OpenAPI 接口
    - [x] completions 接口 (chat 模式对齐 GPT 接口)
@@ -89,6 +87,8 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
    
 `6` 其他
    - [x] 支持语音输入和输出 (可配置语音输入语音回答)
+   - [x] 模糊输入提示
+   - [ ] 模板市场
 
 <a href="#readme">
     <img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
@@ -106,7 +106,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
 
   由于需要部署数据库，部署完后需要等待 2~4 分钟才能正常访问。默认用了最低配置，首次访问时会有些慢。相关使用教程可查看：[Sealos 部署 FastGPT](https://doc.fastgpt.in/docs/development/sealos/)
 
-* [快开始本地开发](https://doc.fastgpt.in/docs/development/intro/)
+* [快速开始本地开发](https://doc.fastgpt.in/docs/development/intro/)
 * [部署 FastGPT](https://doc.fastgpt.in/docs/development/sealos)
 * [系统配置文件说明](https://doc.fastgpt.in/docs/development/configuration/)
 * [多模型配置](https://doc.fastgpt.in/docs/development/one-api/)
@@ -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/飞书20240806-114214.png)
 
 <a href="#readme">
     <img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">

README_en.md

@@ -10,28 +10,31 @@
   <a href="./README_ja.md">日语</a>
 </p>
 
-FastGPT is a knowledge-based Q&A system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!
+FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration. 
 
 </div>
 
 <p align="center">
   <a href="https://fastgpt.in/">
-    <img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
+    <img height="21" src="https://img.shields.io/badge/Try it Online-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
   </a>
   <a href="https://doc.fastgpt.in/docs/intro">
-    <img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
+    <img height="21" src="https://img.shields.io/badge/Documents-7d09f1?style=flat-square" alt="document">
   </a>
   <a href="https://doc.fastgpt.in/docs/development">
-    <img height="21" src="https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
-  </a>
-  <a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
-    <img height="21" src="https://img.shields.io/badge/相关项目-7d09f1?style=flat-square" alt="project">
+    <img height="21" src="https://img.shields.io/badge/Local Development-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
   </a>
   <a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
     <img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
   </a>
 </p>
 
+<div align="center">
+
+  [![discord](https://theme.zdassets.com/theme_assets/678183/cc59daa07820943e943c2fc283b9079d7003ff76.svg)](https://discord.gg/mp68xkZn2Q)
+  
+</div>
+
 https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
 
 ## 🛸 Use Cloud Services
@@ -117,11 +120,11 @@ Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
 - [Version Updates & Upgrades](https://doc.fastgpt.in/docs/installation/upgrading)
 
 
-## 🏘️ Community
+## 🏘️ Community & support
 
-| Community Group                                   | 
-| ------------------------------------------------- | 
-| ![](https://oss.laf.run/htr4n1-images/fastgpt-qr-code.jpg) | 
++ 🌐 Visit the [FastGPT website](https://fastgpt.in/) for full documentation and useful links.
++ 💬 Join our [Discord server](https://discord.gg/mp68xkZn2Q) is to chat with FastGPT developers and other FastGPT users. This is a good place to learn about FastGPT, ask questions, and share your experiences.
++ 🐞 Create [GitHub Issues](https://github.com/labring/FastGPT/issues/new/choose) for bug reports and feature requests.
 
 <a href="#readme">
     <img src="https://img.shields.io/badge/-Back_to_Top-7d09f1.svg" alt="#" align="right">

dev.md

@@ -1,17 +1,110 @@
-# 打包命令
+## Premise
+
+Since FastGPT is managed in the same way as monorepo, it is recommended to install 'make' first during development.
+
+monorepo Project Name:
+
+- app: main project
+-......
+
+## Dev
 
 ```sh
-# Build image, not proxy
-docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.4.7 --build-arg name=app .
+# Give automatic script code execution permission (on non-Linux systems, you can manually execute the postinstall.sh file content)
+chmod -R +x ./scripts/
+# Executing under the code root directory installs all dependencies within the root package, projects, and packages
+pnpm i
 
-# build image with proxy
-docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.4.7 --build-arg name=app --build-arg proxy=taobao .
+# Not make cmd
+cd projects/app
+pnpm dev
+
+# Make cmd
+make dev name=app
 ```
 
-# Pg 常用索引
+Note: If the Node version is >= 20, you need to pass the `--no-node-snapshot` parameter to Node when running `pnpm i`
 
-```sql
-CREATE INDEX IF NOT EXISTS modelData_dataset_id_index ON modeldata (dataset_id);
-CREATE INDEX IF NOT EXISTS modelData_collection_id_index ON modeldata (collection_id);
-CREATE INDEX IF NOT EXISTS modelData_teamId_index ON modeldata (team_id);
-```
+```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
+
+```sh
+# Docker cmd: Build image, not proxy
+docker build -f ./projects/app/Dockerfile -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 . --build-arg name=app
+# Make cmd: Build image, not proxy
+make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1
+
+# Docker cmd: Build image with proxy
+docker build -f ./projects/app/Dockerfile -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 . --build-arg name=app --build-arg proxy=taobao
+# Make cmd: Build image with proxy
+make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 proxy=taobao
+```

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

@@ -1,489 +0,0 @@
----
-title: '发送飞书webhook通知'
-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
----
-
-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。
-
-|                       |                       |
-| --------------------- | --------------------- |
-| ![](/imgs/feishuwebhook1.webp) | ![](/imgs/feishuwebhook2.webp) |
-
-## 1. 准备飞书机器人
-
-|                       |                       | |
-| --------------------- | --------------------- |--------------------- |
-| ![](/imgs/feishuwebhook3.png) | ![](/imgs/feishuwebhook4.webp) |![](/imgs/feishuwebhook5.png) |
-
-## 2. 导入编排代码
-
-复制下面配置，点击「高级编排」右上角的导入按键，导入该配置，导入后将飞书提供的接口地址复制到「HTTP 模块」。
-
-{{% 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
-    },
-    "inputs": [
-      {
-        "key": "welcomeText",
-        "type": "hidden",
-        "valueType": "string",
-        "label": "core.app.Welcome Text",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "value": "",
-        "connected": false
-      },
-      {
-        "key": "variables",
-        "type": "hidden",
-        "valueType": "any",
-        "label": "core.module.Variable",
-        "value": [],
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "connected": false
-      },
-      {
-        "key": "questionGuide",
-        "valueType": "boolean",
-        "type": "switch",
-        "label": "",
-        "showTargetInApp": false,
-        "showTargetInPlugin": false,
-        "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"
-        }
-      },
-      {
-        "type": "source",
-        "valueType": "string",
-        "key": "prompt",
-        "label": "prompt",
-        "description": "",
-        "required": false,
-        "edit": true,
-        "editField": {
-          "key": true,
-          "description": true,
-          "dataType": true,
-          "defaultValue": true
-        },
-        "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
-    },
-    "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
-      },
-      {
-        "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
-      }
-    ],
-    "outputs": [
-      {
-        "key": "finish",
-        "label": "",
-        "description": "",
-        "valueType": "boolean",
-        "type": "hidden",
-        "targets": []
-      }
-    ]
-  }
-]
-```
-
-{{% /details %}}
-
-
-## 3. 流程说明
-
-1. 为工具调用挂载一个HTTP模块，功能描述写上：调用飞书webhook，发送一个通知。
-2. HTTP模块的输入参数中，填写飞书机器人的地址，填写发送的通知内容。
-3. HTTP模块输出连接上一个工具终止模块，用于强制结束工具调用。不终止的话，会把调用结果返回给模型，模型会继续回答一次问题，浪费 Tokens
-4. HTTP模块输出再连上一个指定回复，直接回复一个发送成功，用于替代AI的回答。

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/course/chat_input_guide.md

@@ -4,7 +4,7 @@ description: "FastGPT 对话问题引导"
 icon: "code"
 draft: false
 toc: true
-weight: 350
+weight: 108
 ---
 
 ![](/imgs/questionGuide.png)
@@ -25,6 +25,8 @@ weight: 350
 curl --location --request GET 'http://localhost:3000/api/core/chat/inputGuide/query?appId=663c75302caf8315b1c00194&searchKey=你'
 ```
 
+其中 `appId` 为应用ID，`searchKey` 为搜索关键字，最多是50个字符。
+
 **响应**
 
 ```json
@@ -43,6 +45,8 @@ curl --location --request GET 'http://localhost:3000/api/core/chat/inputGuide/qu
 }
 ```
 
+data是一个数组，包含了搜索到的问题，最多只需要返回5个问题。
+
 
 **参数说明：**
 

docSite/content/zh-cn/docs/course/collection_tags.md

@@ -0,0 +1,50 @@
+---
+title: "知识库集合标签"
+description: "FastGPT 知识库集合标签使用说明"
+icon: "developer_guide"
+draft: false
+toc: true
+weight: 108
+---
+
+知识库集合标签是 FastGPT 商业版特有功能。它允许你对知识库中的数据集合添加标签进行分类，更高效地管理知识库数据。
+
+而进一步可以在问答中，搜索知识库时添加集合过滤，实现更精确的搜索。
+
+|                       |                       | |
+| --------------------- | --------------------- | --------------------- |
+| ![](/imgs/collection-tags-1.png) | ![](/imgs/collection-tags-2.png) | ![](/imgs/collection-tags-3.png) |
+
+## 标签基础操作说明
+
+在知识库详情页面，可以对标签进行管理，可执行的操作有
+
+- 创建标签
+- 修改标签名
+- 删除标签
+- 将一个标签赋给多个数据集合
+- 给一个数据集合添加多个标签
+
+也可以利用标签对数据集合进行筛选
+
+## 知识库搜索-集合过滤说明
+
+利用标签可以在知识库搜索时，通过填写「集合过滤」这一栏来实现更精确的搜索，具体的填写示例如下
+
+```json
+{
+  "tags": {
+    "$and": ["标签 1","标签 2"],
+    "$or": ["有 $and 标签时，and 生效，or 不生效"]
+  },
+  "createTime": {
+      "$gte": "YYYY-MM-DD HH:mm 格式即可，集合的创建时间大于该时间",
+      "$lte": "YYYY-MM-DD HH:mm 格式即可，集合的创建时间小于该时间,可和 $gte 共同使用"
+  }
+}
+```
+
+在填写时有两个注意的点，
+
+- 标签值可以为 `string` 类型的标签名，也可以为 `null`，而 `null` 代表着未设置标签的数据集合
+- 标签过滤有 `$and` 和 `$or` 两种条件类型，在同时设置了 `$and` 和 `$or` 的情况下，只有 `$and` 会生效

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

@@ -11,7 +11,7 @@ weight: 708
 
 **开发环境下**，你需要将示例配置文件 `config.json` 复制成 `config.local.json` 文件才会生效。
 
-这个配置文件中包含了系统参数和各个模型配置，`使用时务必去掉注释!!!!!!!!!!!!!!`
+这个配置文件中包含了系统参数和各个模型配置：
 
 ## 4.6.8+ 版本新配置文件
 
@@ -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
@@ -158,7 +161,7 @@ llm模型全部合并
 
 1. [部署 ReRank 模型](/docs/development/custom-models/bge-rerank/)
 1. 找到 FastGPT 的配置文件中的 `reRankModels`， 4.6.6 以前是 `ReRankModels`。
-2. 修改对应的值：（记得去掉注释）
+2. 修改对应的值：
 
 ```json
 {

docSite/content/zh-cn/docs/development/custom-models/xinference.md

@@ -124,53 +124,36 @@ curl --location --request POST 'https://<oneapi_url>/v1/chat/completions' \
 
 ## 将本地模型接入 FastGPT
 
-修改 FastGPT 的 `config.json` 配置文件，其中 chatModels（对话模型）用于聊天对话，cqModels（问题分类模型）用来对问题进行分类，extractModels（内容提取模型）则用来进行工具选择。我们分别在 chatModels、cqModels 和 extractModels 中加入 qwen-chat 模型：
+修改 FastGPT 的 `config.json` 配置文件的 llmModels 部分加入 qwen-chat 模型：
 
 ```json
-{
-  "chatModels": [
-      ...
-      {
-        "model": "qwen-chat",
-        "name": "Qwen",
-        "maxContext": 2048,
-        "maxResponse": 2048, 
-        "quoteMaxToken": 2000,
-        "maxTemperature": 1, 
-        "vision": false, 
-        "defaultSystemChatPrompt": "" 
-      }
-      ...
+...
+  "llmModels": [
+    {
+      "model": "qwen-chat", // 模型名(对应OneAPI中渠道的模型名)
+      "name": "Qwen", // 模型别名
+      "avatar": "/imgs/model/Qwen.svg", // 模型的logo
+      "maxContext": 125000, // 最大上下文
+      "maxResponse": 4000, // 最大回复
+      "quoteMaxToken": 120000, // 最大引用内容
+      "maxTemperature": 1.2, // 最大温度
+      "charsPointsPrice": 0, // n积分/1k token（商业版）
+      "censor": false, // 是否开启敏感校验（商业版）
+      "vision": true, // 是否支持图片输入
+      "datasetProcess": true, // 是否设置为知识库处理模型（QA），务必保证至少有一个为true，否则知识库会报错
+      "usedInClassify": true, // 是否用于问题分类（务必保证至少有一个为true）
+      "usedInExtractFields": true, // 是否用于内容提取（务必保证至少有一个为true）
+      "usedInToolCall": true, // 是否用于工具调用（务必保证至少有一个为true）
+      "usedInQueryExtension": true, // 是否用于问题优化（务必保证至少有一个为true）
+      "toolChoice": true, // 是否支持工具选择（分类，内容提取，工具调用会用到。目前只有gpt支持）
+      "functionCall": false, // 是否支持函数调用（分类，内容提取，工具调用会用到。会优先使用 toolChoice，如果为false，则使用 functionCall，如果仍为 false，则使用提示词模式）
+      "customCQPrompt": "", // 自定义文本分类提示词（不支持工具和函数调用的模型
+      "customExtractPrompt": "", // 自定义内容提取提示词
+      "defaultSystemChatPrompt": "", // 对话默认携带的系统提示词
+      "defaultConfig": {} // 请求API时，挟带一些默认配置（比如 GLM4 的 top_p）
+    }
   ],
-  "cqModels": [
-      ...
-      {
-        "model": "qwen-chat",
-        "name": "Qwen",
-        "maxContext": 2048,
-        "maxResponse": 2048,
-        "inputPrice": 0,
-        "outputPrice": 0,
-        "toolChoice": true,
-        "functionPrompt": ""
-      }
-      ...
-  ],    
-  "extractModels": [
-      ...
-      {
-        "model": "qwen-chat",
-        "name": "Qwen",
-        "maxContext": 2048,
-        "maxResponse": 2048,
-        "inputPrice": 0,
-        "outputPrice": 0,
-        "toolChoice": true,
-        "functionPrompt": ""
-      }
-      ...
-  ]
-}
+...
 ```
 
 然后重启 FastGPT 就可以在应用配置中选择 Qwen 模型进行对话：

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

@@ -7,34 +7,59 @@ toc: true
 weight: 707
 ---
 
+## 部署架构图
+
+![](/imgs/sealos-fastgpt.webp)
+
+{{% alert icon="🤖" context="success" %}}
+
+- MongoDB：用于存储除了向量外的各类数据
+- PostgreSQL/Milvus：存储向量数据
+- OneAPI: 聚合各类 AI API，支持多模型调用 （任何模型问题，先自行通过 OneAPI 测试校验）
+
+{{% /alert %}}
+
 ## 推荐配置
 
+### PgVector版本
+
+体验测试首选
+
 {{< table "table-hover table-striped-columns" >}}
 | 环境 | 最低配置（单节点） | 推荐配置 |
 | ---- | ---- | ---- |
 | 测试 | 2c2g  | 2c4g |
 | 100w 组向量 | 4c8g 50GB | 4c16g 50GB |
-| 500w 组向量 | 8c32g | 16c64g 200GB |
+| 500w 组向量 | 8c32g 200GB | 16c64g 200GB |
 {{< /table >}}
 
-## 部署架构图
+### Milvus版本
 
-![](/imgs/sealos-fastgpt.webp)
+对于千万级以上向量性能更优秀。
 
+[点击查看 Milvus 官方推荐配置](https://milvus.io/docs/prerequisite-docker.md)
 
-### 1. 准备好代理环境（国外服务器可忽略）
+{{< table "table-hover table-striped-columns" >}}
+| 环境 | 最低配置（单节点） | 推荐配置 |
+| ---- | ---- | ---- |
+| 测试 | 2c8g  | 4c16g |
+| 100w 组向量 | 未测试 |  |
+| 500w 组向量 |  |  |
+{{< /table >}}
 
-确保可以访问 OpenAI，具体方案可以参考：[代理方案](/docs/development/proxy/)。或直接在 Sealos 上 [部署 OneAPI](/docs/development/one-api)，既解决代理问题也能实现多 Key 轮询、接入其他大模型。
+### zilliz cloud版本
 
-### 2. 多模型支持
+亿级以上向量首选。
 
-FastGPT 使用了 one-api 项目来管理模型池，其可以兼容 OpenAI 、Azure 、国内主流模型和本地模型等。
+由于向量库使用了 Cloud，无需占用本地资源，无需太关注。
 
-可选择 [Sealos 快速部署 OneAPI](/docs/development/one-api)，更多部署方法可参考该项目的 [README](https://github.com/songquanpeng/one-api)，也可以直接通过以下按钮一键部署：
+## 前置工作
 
-<a href="https://template.cloud.sealos.io/deploy?templateName=one-api" rel="external" target="_blank"><img src="https://cdn.jsdelivr.net/gh/labring-actions/templates@main/Deploy-on-Sealos.svg" alt="Deploy on Sealos"/></a>
+### 1. 确保网络环境
 
-## 一、安装 Docker 和 docker-compose
+如果使用`OpenAI`等国外模型接口，请确保可以正常访问，否则会报错：`Connection error` 等。 方案可以参考：[代理方案](/docs/development/proxy/)
+
+### 2. 准备 Docker 环境
 
 {{< tabs tabTotal="3" >}}
 {{< tab tabName="Linux" >}}
@@ -79,22 +104,73 @@ brew install orbstack
 {{< /tab >}}
 {{< /tabs >}}
 
-## 二、创建目录并下载 docker-compose.yml
+## 开始部署
 
-依次执行下面命令，创建 FastGPT 文件并拉取`docker-compose.yml`和`config.json`，执行完后目录下会有 2 个文件。
+### 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，并下载下面2个链接的文件: [docker-compose.yml](https://github.com/labring/FastGPT/blob/main/files/deploy/fastgpt/docker-compose.yml),[config.json](https://github.com/labring/FastGPT/blob/main/projects/app/data/config.json)
+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
 
-**注意: `docker-compose.yml` 配置文件中 Mongo 为 5.x，部分服务器不支持，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）
+- [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 %}}
+
+**Linux 快速脚本**
 
 ```bash
 mkdir fastgpt
 cd fastgpt
-curl -O https://raw.githubusercontent.com/labring/FastGPT/main/files/deploy/fastgpt/docker-compose.yml
 curl -O https://raw.githubusercontent.com/labring/FastGPT/main/projects/app/data/config.json
+
+# pgvector 版本(测试推荐，简单快捷)
+curl -o docker-compose.yml https://raw.githubusercontent.com/labring/FastGPT/main/files/docker/docker-compose-pgvector.yml
+# milvus 版本
+# curl -o docker-compose.yml https://raw.githubusercontent.com/labring/FastGPT/main/files/docker/docker-compose-milvus.yml
+# zilliz 版本
+# curl -o docker-compose.yml https://raw.githubusercontent.com/labring/FastGPT/main/files/docker/docker-compose-zilliz.yml
 ```
 
-## 三、启动容器
+### 2. 修改 docker-compose.yml 环境变量
+
+{{< tabs tabTotal="3" >}}
+{{< tab tabName="PgVector版本" >}}
+{{< markdownify >}}
+
+```
+无需操作
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< tab tabName="Milvus版本" >}}
+{{< markdownify >}}
+
+```
+无需操作
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< tab tabName="Zilliz版本" >}}
+{{< markdownify >}}
+
+![zilliz_key](/imgs/zilliz_key.png)
+
+{{% alert icon="🤖" context="success" %}}
+
+修改`MILVUS_ADDRESS`和`MILVUS_TOKEN`链接参数，分别对应 `zilliz` 的 `Public Endpoint` 和 `Api key`，记得把自己ip加入白名单。
+
+{{% /alert %}}
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
+
+### 3. 启动容器
 
 在 docker-compose.yml 同级目录下执行。请确保`docker-compose`版本最好在2.17以上，否则可能无法执行自动化命令。
 
@@ -107,13 +183,13 @@ sleep 10
 docker restart oneapi
 ```
 
-## 四、打开 OneAPI 添加模型
+### 4. 打开 OneAPI 添加模型
 
 可以通过`ip:3001`访问OneAPI，默认账号为`root`密码为`123456`。
 
 在OneApi中添加合适的AI模型渠道。[点击查看相关教程](/docs/development/one-api/)
 
-## 五、访问 FastGPT
+### 5. 访问 FastGPT
 
 目前可以通过 `ip:3000` 直接访问(注意防火墙)。登录用户名为 `root`，密码为`docker-compose.yml`环境变量里设置的 `DEFAULT_ROOT_PSW`。
 
@@ -125,7 +201,9 @@ docker restart oneapi
 
 ### Mongo 副本集自动初始化失败
 
-最新的 docker-compose 示例优化 Mongo 副本集初始化，实现了全自动。目前在 unbuntu20,22 centos7, wsl2, mac, window 均通过测试。如果你的环境特殊，可以手动初始化副本集：
+最新的 docker-compose 示例优化 Mongo 副本集初始化，实现了全自动。目前在 unbuntu20,22 centos7, wsl2, mac, window 均通过测试。仍无法正常启动，大部分是因为 cpu 不支持 AVX 指令集，可以切换 Mongo4.x 版本。
+
+如果是由于，无法自动初始化副本集合，可以手动初始化副本集：
 
 1. 终端中执行下面命令，创建mongo密钥：
 
@@ -190,7 +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）。
 
@@ -234,8 +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。
 
@@ -266,13 +342,14 @@ PG 数据库没有连接上/初始化失败，可以查看日志。FastGPT 会
 
 ### Operation `auth_codes.findOne()` buffering timed out after 10000ms
 
-mongo连接失败，查看mongo的运行状态对应日志。
+mongo连接失败，查看mongo的运行状态**对应日志**。
 
 可能原因：
 
 1. mongo 服务有没有起来（有些 cpu 不支持 AVX，无法用 mongo5，需要换成 mongo4.x，可以docker hub找个最新的4.x，修改镜像版本，重新运行）
 2. 连接数据库的环境变量填写错误（账号密码，注意host和port，非容器网络连接，需要用公网ip并加上 directConnection=true）
 3. 副本集启动失败。导致容器一直重启。
+4. `Illegal instruction.... Waiting for MongoDB to start`: cpu 不支持 AVX，无法用 mongo5，需要换成 mongo4.x
 
 ### 首次部署，root用户提示未注册
 
@@ -280,4 +357,15 @@ 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。
+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
 
@@ -16,12 +15,14 @@ weight: 705
 
 - [Git](http://git-scm.com/)
 - [Docker](https://www.docker.com/)（构建镜像）
-- [Node.js v18.x (不推荐最新的，可能有兼容问题)](http://nodejs.org)
-- [pnpm](https://pnpm.io/) 版本 8.x.x 
+- [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 %}}
@@ -46,9 +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
 
@@ -56,7 +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**
 
@@ -72,26 +74,39 @@ 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`，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)
 chmod -R +x ./scripts/
 # 代码根目录下执行，会安装根 package、projects 和 packages 内所有依赖
+# 如果提示 isolate-vm 安装失败，可以参考：https://github.com/laverdet/isolated-vm?tab=readme-ov-file#requirements
 pnpm i
-# 切换到应用目录
-cd projects/app 
-# 开发模式运行
+
+# 非 Make 运行
+cd projects/app
 pnpm dev
+
+# Make 运行
+make dev name=app
 ```
 
 ### 6. 部署打包
 
 ```bash
-# 根目录下执行
-docker build -t dockername/fastgpt:tag --build-arg name=app .
-# 使用代理
-docker build -t dockername/fastgpt:tag --build-arg name=app --build-arg proxy=taobao .
+# Docker cmd: Build image, not proxy
+docker build -f ./projects/app/Dockerfile -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 . --build-arg name=app
+# Make cmd: Build image, not proxy
+make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1
+
+# Docker cmd: Build image with proxy
+docker build -f ./projects/app/Dockerfile -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 . --build-arg name=app --build-arg proxy=taobao
+# Make cmd: Build image with proxy
+make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 proxy=taobao
 ```
 
+如果不使用 `docker` 打包，需要手动把 `Dockerfile` 里 run 阶段的内容全部手动执行一遍（非常不推荐）。
+
 ## 提交代码至开源仓库
 
 1. 确保你的代码是 Fork [FastGPT](https://github.com/labring/FastGPT) 仓库
@@ -100,22 +115,22 @@ docker build -t dockername/fastgpt:tag --build-arg name=app --build-arg proxy=ta
 
 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
 
 1. 如果你是连接远程的数据库，先检查对应的端口是否开放。
 2. 如果是本地运行的数据库，可尝试`host`改成`localhost`或`127.0.0.1`
+3. 本地连接远程的 Mongo，需要增加 `directConnection=true` 参数，才能连接上副本集的数据库。
+4. mongo使用`mongocompass`客户端进行连接测试和可视化管理。
+5. pg使用`navicat`进行连接和管理。
 
 ### sh ./scripts/postinstall.sh 没权限
 
 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`。
 
-### 长时间运行后崩溃
-
-似乎是由于 tiktoken 库的开发环境问题，生产环境中未遇到，暂时可忽略。
+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' )
 
@@ -127,6 +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
 
@@ -141,6 +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  
@@ -159,6 +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
@@ -186,4 +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" >}}
@@ -67,9 +71,9 @@ curl --location --request POST 'https://api.fastgpt.in/api/v1/chat/completions'
 {{< /tab >}}
 {{< /tabs >}}
 
-## 响应
+### 响应
 
-{{< tabs tabTotal="4" >}}
+{{< tabs tabTotal="5" >}}
 {{< tab tabName="detail=false,stream=false 响应" >}}
 {{< markdownify >}}
 
@@ -211,10 +215,10 @@ data: {"id":"","object":"","created":0,"choices":[{"delta":{"content":"《"},"in
 {{< markdownify >}}
 
 ```bash
-event: moduleStatus
+event: flowNodeStatus
 data: {"status":"running","name":"知识库搜索"}
 
-event: moduleStatus
+event: flowNodeStatus
 data: {"status":"running","name":"AI 对话"}
 
 event: answer
@@ -238,15 +242,219 @@ data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{},"index"
 event: answer
 data: [DONE]
 
-event: appStreamResponse
+event: flowResponses
 data: [{"moduleName":"知识库搜索","moduleType":"datasetSearchNode","runningTime":1.78},{"question":"导演是谁","quoteList":[{"id":"654f2e49b64caef1d9431e8b","q":"电影《铃芽之旅》的导演是谁？","a":"电影《铃芽之旅》的导演是新海诚!","indexes":[{"type":"qa","dataId":"3515487","text":"电影《铃芽之旅》的导演是谁？","_id":"654f2e49b64caef1d9431e8c","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8935586214065552},{"id":"6552e14c50f4a2a8e632af11","q":"导演是谁？","a":"电影《铃芽之旅》的导演是新海诚。","indexes":[{"defaultIndex":true,"type":"qa","dataId":"3644565","text":"导演是谁？\n电影《铃芽之旅》的导演是新海诚。","_id":"6552e14dde5cc7ba3954e417"}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8890955448150635},{"id":"654f34a0b64caef1d946337e","q":"本作的主人公是谁？","a":"本作的主人公是名叫铃芽的少女。","indexes":[{"type":"qa","dataId":"3515541","text":"本作的主人公是谁？","_id":"654f34a0b64caef1d946337f","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8738770484924316},{"id":"654f3002b64caef1d944207a","q":"电影《铃芽之旅》男主角是谁？","a":"电影《铃芽之旅》男主角是宗像草太，由松村北斗配音。","indexes":[{"type":"qa","dataId":"3515538","text":"电影《铃芽之旅》男主角是谁？","_id":"654f3002b64caef1d944207b","defaultIndex":true}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8607980012893677},{"id":"654f2fc8b64caef1d943fd46","q":"电影《铃芽之旅》的编剧是谁？","a":"新海诚是本片的编剧。","indexes":[{"defaultIndex":true,"type":"qa","dataId":"3515550","text":"电影《铃芽之旅》的编剧是谁？22","_id":"654f2fc8b64caef1d943fd47"}],"datasetId":"646627f4f7b896cfd8910e38","collectionId":"653279b16cd42ab509e766e8","sourceName":"data (81).csv","sourceId":"64fd3b6423aa1307b65896f6","score":0.8468944430351257}],"moduleName":"AI 对话","moduleType":"chatNode","runningTime":1.86}]
 ```
 
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="event值" >}}
+{{< 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 >}}
 
 
+
+## 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 >}}
@@ -526,6 +531,8 @@ data 为集合的 ID。
 {{< tab tabName="请求示例" >}}
 {{< markdownify >}}
 
+使用代码上传时，请注意中文 filename 需要进行 encode 处理，否则容易乱码。
+
 ```bash
 curl --location --request POST 'http://localhost:3000/api/core/dataset/collection/create/localFile' \
 --header 'Authorization: Bearer {{authorization}}' \
@@ -1168,7 +1175,7 @@ curl --location --request PUT 'http://localhost:3000/api/core/dataset/data/updat
 --header 'Authorization: Bearer {{authorization}}' \
 --header 'Content-Type: application/json' \
 --data-raw '{
-    "id":"65abd4b29d1448617cba61db",
+    "dataId":"65abd4b29d1448617cba61db",
     "q":"测试111",
     "a":"sss",
     "indexes":[
@@ -1191,7 +1198,7 @@ curl --location --request PUT 'http://localhost:3000/api/core/dataset/data/updat
 {{< markdownify >}}
 
 {{% alert icon=" " context="success" %}}
-- id: 数据的id
+- dataId: 数据的id
 - q: 主要数据（选填）
 - a: 辅助数据（选填）
 - indexes: 自定义索引（选填），类型参考`为集合批量添加添加数据`。如果创建时候有自定义索引，