Plugin runtime (#2050)

* feat: plugin run (#1950)

* feat: plugin run

* fix

* ui

* fix

* change user input type

* fix

* fix

* temp

* split out plugin chat

* perf: chatbox

* perf: chatbox

* fix: plugin runtime (#2032)

* fix: plugin runtime

* fix

* fix build

* fix build

* perf: chat send prompt

* perf: chat log ux

* perf: chatbox context and share page plugin runtime

* perf: plugin run time config

* fix: ts

* feat: doc

* perf: isPc check

* perf: variable input render

* feat: app search

* fix: response box height

* fix: phone ui

* perf: lock

* perf: plugin route

* fix: chat (#2049)

---------

Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.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

@@ -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-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/preview-image.yml

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

.npmrc

@@ -0,0 +1,3 @@
+public-hoist-pattern[]=*tiktoken*
+public-hoist-pattern[]=*@zilliz/milvus2-sdk-node*
+registry=https://registry.npmjs.org/

.vscode/extensions.json

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

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

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

.vscode/nextapi.code-snippets

@@ -10,14 +10,19 @@
 		"scope": "javascript,typescript",
 		"prefix": "nextapi",
 		"body": [
-			"import type { NextApiRequest, NextApiResponse } from 'next';",
-			"import { NextAPI } from '@/service/middle/entry';",
+			"import type { ApiRequestProps, ApiResponseType } from '@fastgpt/service/type/next';",
+			"import { NextAPI } from '@/service/middleware/entry';",
 			"",
-			"type Props = {};",
+			"export type ${TM_FILENAME_BASE}Query = {};",
 			"",
-			"type Response = {};",
+			"export type ${TM_FILENAME_BASE}Body = {};",
 			"",
-			"async function handler(req: NextApiRequest, res: NextApiResponse<any>): Promise<Response> {",
+			"export type ${TM_FILENAME_BASE}Response = {};",
+			"",
+			"async function handler(",
+			"  req: ApiRequestProps<${TM_FILENAME_BASE}Body, ${TM_FILENAME_BASE}Query>,",
+			"  res: ApiResponseType<any>",
+			"): Promise<${TM_FILENAME_BASE}Response> {",
 			"    $1",
 			"    return {}",
 			"}",
@@ -25,5 +30,25 @@
 			"export default NextAPI(handler);"
 		],
 		"description": "FastGPT Next API template"
+	},
+	"use context template": {
+		"scope": "typescriptreact",
+		"prefix": "context",
+		"body": [
+			"import React, { ReactNode } from 'react';",
+			"import { createContext } from 'use-context-selector';",
+			"",
+			"type ContextType = {$1};",
+			"",
+			"export const Context = createContext<ContextType>({});",
+			"",
+			"const ContextProvider = ({ children }: { children: ReactNode }) => {",
+			"  const contextValue: ContextType = {};",
+			"  return <Context.Provider value={contextValue}>{children}</Context.Provider>;",
+			"};",
+			"",
+			"export default ContextProvider"
+		],
+		"description": "FastGPT usecontext template"
 	}
 }

.vscode/settings.json

@@ -1,15 +1,17 @@
 {
     "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.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.displayLanguage": "zh", // 显示语言
+    "i18n-ally.extract.targetPickingStrategy": "most-similar-by-key"
 }

Dockerfile

@@ -1,82 +0,0 @@
-# --------- install dependence -----------
-FROM node:18.17-alpine AS mainDeps
-WORKDIR /app
-
-ARG name
-ARG proxy
-
-RUN [ -z "$proxy" ] || sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories
-RUN apk add --no-cache libc6-compat && npm install -g pnpm@8.6.0
-# if proxy exists, set proxy
-RUN [ -z "$proxy" ] || pnpm config set registry https://registry.npmmirror.com
-
-# copy packages and one project
-COPY pnpm-lock.yaml pnpm-workspace.yaml ./
-COPY ./packages ./packages
-COPY ./projects/$name/package.json ./projects/$name/package.json
-
-RUN [ -f pnpm-lock.yaml ] || (echo "Lockfile not found." && exit 1)
-
-RUN pnpm i
-
-# --------- builder -----------
-FROM node:18.17-alpine AS builder
-WORKDIR /app
-
-ARG name
-ARG proxy
-
-# copy common node_modules and one project node_modules
-COPY package.json pnpm-workspace.yaml ./
-COPY --from=mainDeps /app/node_modules ./node_modules
-COPY --from=mainDeps /app/packages ./packages
-COPY ./projects/$name ./projects/$name
-COPY --from=mainDeps /app/projects/$name/node_modules ./projects/$name/node_modules
-
-RUN [ -z "$proxy" ] || sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories
-
-RUN apk add --no-cache libc6-compat && npm install -g pnpm@8.6.0
-RUN pnpm --filter=$name build
-
-# --------- runner -----------
-FROM node:18.17-alpine AS runner
-WORKDIR /app
-
-ARG name
-ARG proxy
-
-# create user and use it
-RUN addgroup --system --gid 1001 nodejs
-RUN adduser --system --uid 1001 nextjs
-
-RUN [ -z "$proxy" ] || sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories
-RUN apk add --no-cache curl ca-certificates \
-  && update-ca-certificates
-
-# copy running files
-COPY --from=builder /app/projects/$name/public /app/projects/$name/public
-COPY --from=builder /app/projects/$name/next.config.js /app/projects/$name/next.config.js
-COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/standalone /app/
-COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/static /app/projects/$name/.next/static
-# copy server chunks
-COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/server/chunks /app/projects/$name/.next/server/chunks
-# copy worker
-COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/server/worker /app/projects/$name/.next/server/worker
-# copy package.json to version file
-COPY --from=builder /app/projects/$name/package.json ./package.json 
-# copy config
-COPY ./projects/$name/data /app/data
-
-RUN chown -R nextjs:nodejs /app/data
-
-ENV NODE_ENV production
-ENV NEXT_TELEMETRY_DISABLED 1
-ENV PORT=3000
-
-EXPOSE 3000
-
-USER nextjs
-
-ENV serverPath=./projects/$name/server.js
-
-ENTRYPOINT ["sh","-c","node ${serverPath}"]

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">
@@ -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">

README_en.md

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

dev.md

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

docSite/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

@@ -0,0 +1,54 @@
+---
+title: "对话问题引导"
+description: "FastGPT 对话问题引导"
+icon: "code"
+draft: false
+toc: true
+weight: 350
+---
+
+![](/imgs/questionGuide.png)
+
+## 什么是自定义问题引导
+
+你可以为你的应用提前预设一些问题，用户在输入时，会根据输入的内容，动态搜索这些问题作为提示，从而引导用户更快的进行提问。
+
+你可以直接在 FastGPT 中配置词库，或者提供自定义词库接口。
+
+## 自定义词库接口
+
+需要保证这个接口可以被用户浏览器访问。
+
+**请求：**
+
+```bash
+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
+{
+  "code": 200,
+  "statusText": "",
+  "message": "",
+  "data": [
+    "是你",
+    "你是谁呀",
+    "你好好呀",
+    "你好呀",
+    "你是谁！",
+    "你好"
+  ]
+}
+```
+
+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：**
+
+- appId - 应用ID
+- searchKey - 搜索关键字

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

@@ -0,0 +1,26 @@
+---
+title: '外部文件知识库'
+description: 'FastGPT 外部文件知识库功能介绍和使用方式'
+icon: 'language'
+draft: false
+toc: true
+weight: 107
+---
+
+外部文件库是 FastGPT 商业版特有功能。它允许接入你现在的文件系统，无需将文件再导入一份到 FastGPT 中。
+
+并且，阅读权限可以通过你的文件系统进行控制。
+
+|                       |                       | |
+| --------------------- | --------------------- | --------------------- |
+| ![](/imgs/external_file0.png) | ![](/imgs/external_file1.png) | ![](/imgs/external_file2.png) | 
+
+
+## 导入参数说明
+
+- 外部预览地址：用于跳转你的文件阅读地址，会携带“文件阅读ID”进行访问。
+- 文件访问URL：文件可访问的地址。
+- 文件阅读ID：通常情况下，文件访问URL是临时的。如果希望永久可以访问，你需要使用该文件阅读ID，并配合上“外部预览地址”，跳转至新的阅读地址进行原文件访问。
+- 文件名：默认会自动解析文件访问URL上的文件名。如果你手动填写，将会以手动填写的值为准。
+
+[点击查看API导入文档](/docs/development/openapi/dataset/#创建一个外部文件库集合商业版)

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/docker.md

@@ -7,34 +7,60 @@ 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 +105,75 @@ brew install orbstack
 {{< /tab >}}
 {{< /tabs >}}
 
-## 二、创建目录并下载 docker-compose.yml
 
-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。
+## 开始部署
 
-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)
+### 1. 下载 docker-compose.yml
 
-**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）
+
+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`
+
+- [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 +186,13 @@ 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 +204,9 @@ 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：
 
@@ -257,15 +338,23 @@ PG 数据库没有连接上/初始化失败，可以查看日志。FastGPT 会
 2. 非 docker 部署的，需要手动安装 pg vector 插件
 3. 查看 fastgpt 日志，有没有相关报错
 
+### Illegal instruction
+
+可能原因：
+
+1. arm架构。需要使用 Mongo 官方镜像： mongo:5.0.18
+2. cpu 不支持 AVX，无法用 mongo5，需要换成 mongo4.x。把 mongo 的 image 换成: mongo:4.4.29
+
 ### 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
 
@@ -273,4 +362,15 @@ 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
@@ -118,4 +120,5 @@ OneAPI 的 API Key 配置错误，需要修改`OPENAI_API_KEY`环境变量，并
 ### bad_response_status_code bad response status code 503
 
 1. 模型服务不可用
-2. ....
+2. 模型接口参数异常（温度、max token等可能不适配）
+3. ....

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

@@ -16,8 +16,9 @@ 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)
+- [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
 
@@ -72,26 +73,39 @@ 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`
+
 ```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
@@ -101,21 +115,21 @@ 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。
 
 ### TypeError: Cannot read properties of null (reading 'useMemo' )
 
@@ -133,3 +147,57 @@ FastGPT 在`pnpm i`后会执行`postinstall`脚本，用于自动生成`ChakraUI
 遇到困难了吗？有任何问题吗? 加入微信群与开发者和用户保持沟通。
 
 <img width="400px" src="https://oss.laf.run/htr4n1-images/fastgpt-qr-code.jpg" class="medium-zoom-image" />
+
+## 代码结构说明
+
+### nextjs
+
+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  
+- packages/ - 子模块  
+  - global - 共用代码，通常是放一些前后端都能执行的函数、类型声明、常量。  
+  - service - 服务端代码  
+  - web - 前端代码  
+  - plugin - 工作流自定义插件的代码  
+
+### 领域驱动模式（DDD）
+
+FastGPT 在代码模块划分时，按DDD的思想进行划分，主要分为以下几个领域：
+
+core - 核心功能（知识库，工作流，应用，对话）
+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
+├── .husky                       // 格式化配置
+├── docSite                      // 文档
+├── files                        // 一些外部文件，例如 docker-compose, helm
+├── packages                     // 子包
+│   ├── global                   // 前后端通用子包
+│   ├── plugins                  // 工作流插件（需要自定义包时候使用到）
+│   ├── service                  // 后端子包
+│   └── web                      // 前端子包
+├── projects
+│   └── app                      // FastGPT 主项目
+├── python                       // 存放一些模型代码，和 FastGPT 本身无关
+└── scripts                      // 一些自动化脚本
+    ├── icon                     // icon预览脚本，可以在顶层 pnpm initIcon(把svg写入到代码中), pnpm previewIcon（预览icon）
+    └── postinstall.sh           // chakraUI自定义theme初始化 ts 类型
+├── package.json                 // 顶层monorepo
+├── pnpm-lock.yaml
+├── pnpm-workspace.yaml          // monorepo 声明
+├── Dockerfile
+├── LICENSE
+├── README.md
+├── README_en.md
+├── README_ja.md
+├── dev.md
+```
+{{% /details %}}

docSite/content/zh-cn/docs/development/migration/ docker_mongo.md

@@ -1,10 +1,9 @@
 ---
-weight: 762
 title: "Docker Mongo迁移(dump模式)"
 description: "FastGPT Docker Mongo迁移"
 icon: database
 draft: false
-images: []
+weight: 762
 ---
 
 ## 作者

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 >}}
@@ -295,6 +300,24 @@ curl --location --request DELETE 'http://localhost:3000/api/core/dataset/delete?
 
 ## 集合
 
+### 通用创建参数说明
+
+**入参**
+
+| 参数 | 说明 | 必填 |
+| --- | --- | --- |
+| datasetId | 知识库ID | ✅ |
+| parentId： | 父级ID，不填则默认为根目录 |  |
+| trainingType | 训练模式。chunk: 按文本长度进行分割;qa: QA拆分;auto: 增强训练 | ✅ |
+| chunkSize | 预估块大小 |  |
+| chunkSplitter | 自定义最高优先分割符号 |  |
+| qaPrompt | qa拆分提示词 |  |
+
+**出参**
+
+- collectionId - 新建的集合ID  
+- insertLen：插入的块数量
+
 ### 创建一个空的集合
 
 {{< tabs tabTotal="3" >}}
@@ -500,7 +523,7 @@ data 为集合的 ID。
 {{< /tab >}}
 {{< /tabs >}}
 
-### 创建一个文件集合(商业版)
+### 创建一个文件集合
 
 传入一个文件，创建一个集合，会读取文件内容进行分割。目前支持：pdf, docx, md, txt, html, csv。
 
@@ -509,7 +532,7 @@ data 为集合的 ID。
 {{< markdownify >}}
 
 ```bash
-curl --location --request POST 'http://localhost:3000/api/proApi/core/dataset/collection/create/file' \
+curl --location --request POST 'http://localhost:3000/api/core/dataset/collection/create/localFile' \
 --header 'Authorization: Bearer {{authorization}}' \
 --form 'file=@"C:\\Users\\user\\Desktop\\fastgpt测试文件\\index.html"' \
 --form 'data="{\"datasetId\":\"6593e137231a2be9c5603ba7\",\"parentId\":null,\"trainingType\":\"chunk\",\"chunkSize\":512,\"chunkSplitter\":\"\",\"qaPrompt\":\"\",\"metadata\":{}}"'
@@ -565,6 +588,68 @@ data 为集合的 ID。
 {{< /tab >}}
 {{< /tabs >}}
 
+### 创建一个外部文件库集合（商业版）
+
+{{< tabs tabTotal="3" >}}
+{{< tab tabName="请求示例" >}}
+{{< markdownify >}}
+
+```bash
+curl --location --request POST 'http://localhost:3000/api/proApi/core/dataset/collection/create/externalFileUrl' \
+--header 'Authorization: Bearer {{authorization}}' \
+--header 'User-Agent: Apifox/1.0.0 (https://apifox.com)' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "externalFileUrl":"https://image.xxxxx.com/fastgpt-dev/%E6%91%82.pdf",
+    "externalFileId":"1111",
+    "filename":"自定义文件名",
+    "datasetId":"6642d105a5e9d2b00255b27b",
+    "parentId": null,
+
+    "trainingType": "chunk",
+    "chunkSize":512,
+    "chunkSplitter":"",
+    "qaPrompt":""
+}'
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="参数说明" >}}
+{{< markdownify >}}
+
+| 参数 | 说明 | 必填 |
+| --- | --- | --- |
+| externalFileUrl | 文件访问链接（可以是临时链接） | ✅ |
+| externalFileId | 外部文件ID |  |
+| filename | 自定义文件名 |  |
+
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="响应示例" >}}
+{{< markdownify >}}
+
+data 为集合的 ID。
+
+```json
+{
+  "code": 200,
+  "statusText": "",
+  "message": "",
+  "data": {
+    "collectionId": "6646fcedfabd823cdc6de746",
+    "insertLen": 3
+  }
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
+
 ### 获取集合列表
 
 {{< tabs tabTotal="3" >}}

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

@@ -247,7 +247,7 @@ curl --location --request POST '{{host}}/shareAuth/finish' \
 
 ```ts
 type ResponseType = {
-    moduleType: `${FlowNodeTypeEnum}`; // 模块类型
+    moduleType: FlowNodeTypeEnum; // 模块类型
     moduleName: string; // 模块名
     moduleLogo?: string; // logo
     runningTime?: number; // 运行时间

docSite/content/zh-cn/docs/development/upgrading/48.md

@@ -1,5 +1,5 @@
 ---
-title: 'V4.8(开发中)'
+title: 'V4.8'
 description: 'FastGPT V4.8 更新说明'
 icon: 'upgrade'
 draft: false

docSite/content/zh-cn/docs/development/upgrading/481.md

@@ -0,0 +1,39 @@
+---
+title: 'V4.8.1(需要初始化)'
+description: 'FastGPT V4.8.1 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 823
+---
+
+## 初始化脚本
+
+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的域名。
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/initv481' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+由于之前集合名不规范，该初始化会重置表名。请在初始化前，确保 dataset.trainings 表没有数据。
+最好更新该版本时，暂停所有进行中业务，再进行初始化，避免数据冲突。
+
+## 执行脏数据清理
+
+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的域名。
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/clearInvalidData' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+初始化完后，可以执行这个命令。之前定时清理的定时器有些问题，部分数据没被清理，可以手动执行清理。
+
+## V4.8.1 更新说明
+
+使用 Chat api 接口需要注意，增加了 event: updateVariables 事件，用于更新变量。
+
+[点击查看升级说明](https://github.com/labring/FastGPT/releases/tag/v4.8.1)

docSite/content/zh-cn/docs/development/upgrading/482.md

@@ -0,0 +1,34 @@
+---
+title: 'V4.8.2'
+description: 'FastGPT V4.8.2 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 822
+---
+
+## Sealos 升级说明
+
+1. 在应用管理中新建一个应用，镜像为：registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.1
+2. 无需外网访问地址
+3. 部署完后，复制应用的内网地址
+4. 点击变更`FastGPT - 修改环境变量，增加下面的环境变量即可
+
+```
+SANDBOX_URL=内网地址
+```
+
+## Docker 部署
+
+可以拉取最新 [docker-compose.yml](https://github.com/labring/FastGPT/blob/main/files/docker/docker-compose.yml) 文件参考
+
+1. 新增一个容器 `sandbox`
+2. fastgpt 和 fastgpt-pro(商业版) 容器新增环境变量: `SANDBOX_URL`
+3. sandbox 简易不要开启外网访问，未做凭证校验。
+
+## V4.8.2 更新说明
+
+1. 新增 - js代码运行节点（更完整的type提醒，后续继续完善）
+2. 新增 - 内容提取节点支持数据类型选择
+3. 修复 - 新增的站点同步无法使用
+4. 修复 - 定时任务无法输入内容

docSite/content/zh-cn/docs/development/upgrading/483.md

@@ -0,0 +1,22 @@
+---
+title: 'V4.8.3'
+description: 'FastGPT V4.8.3 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 821
+---
+
+## 升级指南
+
+- fastgpt 镜像 tag 修改成 v4.8.3
+- fastgpt-sandbox 镜像 tag 修改成 v4.8.3
+- 商业版镜像 tag 修改成 v4.8.3
+
+## V4.8.3 更新说明
+
+1. 新增 - 支持 Milvus 数据库， 可参考最新的 [docker-compose-milvus.yml](https://github.com/labring/FastGPT/blob/main/files/docker/docker-compose-milvus.yml).
+2. 新增 - 给 chat 接口 empty answer 增加 log，便于排查模型问题。
+3. 新增 - ifelse判断器，字符串支持正则。
+4. 新增 - 代码运行支持 console.log 输出调试。
+5. 修复 - 变量更新在 Debug 模式下出错。

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

@@ -0,0 +1,38 @@
+---
+title: 'V4.8.4(需要初始化)'
+description: 'FastGPT V4.8.4 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 820
+---
+
+## 升级指南
+
+### 1. 修改镜像
+
+- fastgpt 镜像 tag 修改成 v4.8.4
+- fastgpt-sandbox 镜像 tag 修改成 v4.8.4 (选择性，无变更)
+- 商业版镜像 tag 修改成 v4.8.4 
+
+### 2. 商业版用户执行初始化
+
+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 商业版的域名**。
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/init/484' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+## V4.8.4 更新说明
+
+1. 新增 - 应用使用新权限系统。
+2. 新增 - 应用支持文件夹。
+3. 优化 - 文本分割增加连续换行、制表符清除，避免大文本性能问题。
+4. 重要修复 - 修复系统插件运行池数据污染问题，由于从内存获取，会导致全局污染。
+5. 修复 - Debug 模式下，相同 source 和 target 内容，导致连线显示异常。
+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。

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