System plugin (#2091 )

* System template (#2082) * feat: system plugin (#2024) * add plugin cost & change plugin avatar (#2030) * add plugin cost & change plugin avatar * add author * feat: duckduckgo plugin * duckduck search * perf: templates select system plugin * perf: system plugin avatar * feat: duckduck plugins * doc * perf: plugin classify * perf: icon avatar component * perf: system template avatar --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com> * feat: system plugin search * perf: plugin packages important * perf: source avatar * nextconfig * perf: i18n * perf: default model * perf: system plugin author --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
Update workflow to change baseurl for cn site (#2081 )
2024-07-19 14:15:01 +08:00 · 2024-07-18 12:15:03 +08:00 · 2024-07-18 10:44:13 +08:00 · 2024-07-18 10:13:47 +08:00 · 2024-07-17 19:06:37 +08:00 · 2024-07-17 15:27:51 +08:00
445 changed files with 9727 additions and 7010 deletions
--- a/.github/workflows/docs-deploy-kubeconfig.yml
+++ b/.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"
--- a/.npmrc
+++ b/.npmrc
@@ -1,2 +1,3 @@
 public-hoist-pattern[]=*tiktoken*
 public-hoist-pattern[]=*@zilliz/milvus2-sdk-node*
+registry=https://registry.npmjs.org/
--- a/.vscode/i18n-ally-custom-framework.yml
+++ b/.vscode/i18n-ally-custom-framework.yml
@@ -1,46 +0,0 @@
-# .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
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -7,11 +7,18 @@
    "i18n-ally.localesPaths": [
        "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.namespace": true,
+    "i18n-ally.pathMatcher": "{locale}/{namespaces}.json",
    "i18n-ally.extract.targetPickingStrategy": "most-similar-by-key"
 }
--- a/docSite/content/zh-cn/docs/development/docker.md
+++ b/docSite/content/zh-cn/docs/development/docker.md
@@ -11,7 +11,6 @@ weight: 707

 ![](/imgs/sealos-fastgpt.webp)

-
 {{% alert icon="🤖" context="success" %}}

 - MongoDB：用于存储除了向量外的各类数据
@@ -105,13 +104,11 @@ brew install orbstack
 {{< /tab >}}
 {{< /tabs >}}

-
 ## 开始部署

 ### 1. 下载 docker-compose.yml

-
-非 Linux 环境或无法访问外网环境，可手动创建一个目录，并下载配置文件和对应版本的`docker-compose.yml`
+非 Linux 环境或无法访问外网环境，可手动创建一个目录，并下载配置文件和对应版本的`docker-compose.yml`，在这个文件夹中依据下载的配置文件运行docker，若作为本地开发使用推荐`docker-compose-pgvector`版本，并且自行拉取并运行`sandbox`和`fastgpt`，并在docker配置文件中注释掉`sandbox`和`fastgpt`的部分

 - [config.json](https://github.com/labring/FastGPT/blob/main/projects/app/data/config.json)
 - [docker-compose.yml](https://github.com/labring/FastGPT/blob/main/files/docker) (注意，不同向量库版本的文件不一样)
@@ -271,7 +268,6 @@ rs.status()

 默认是写了OneAPi的连接地址和密钥，可以通过修改`docker-compose.yml`中，fastgpt容器的环境变量实现。

-
 `OPENAI_BASE_URL`（API 接口的地址，需要加/v1）
 `CHAT_API_KEY`（API 接口的凭证）。

@@ -315,8 +311,7 @@ docker-compose up -d
 1. `docker exec -it fastgpt sh` 进入 FastGPT 容器。
 2. 直接输入`env`命令查看所有环境变量。

-
-### 为什么无法连接`本地模型`镜像。
+### 为什么无法连接`本地模型`镜像

 `docker-compose.yml`中使用了桥接的模式建立了`fastgpt`网络，如想通过0.0.0.0或镜像名访问其它镜像，需将其它镜像也加入到网络中。

@@ -368,8 +363,8 @@ mongo连接失败，查看mongo的运行状态**对应日志**。

 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
+- 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

--- a/docSite/content/zh-cn/docs/development/intro.md
+++ b/docSite/content/zh-cn/docs/development/intro.md
@@ -7,8 +7,7 @@ toc: true
 weight: 705
 ---

-本文档介绍了如何设置开发环境以构建和测试 [FastGPT](https://fastgpt.in)。
-
+本文档介绍了如何设置开发环境以构建和测试 [FastGPT](https://fastgpt.in)，。

 ## 前置依赖项

@@ -16,13 +15,14 @@ weight: 705

 - [Git](http://git-scm.com/)
 - [Docker](https://www.docker.com/)（构建镜像）
- [Node.js v18.17 / v20.x](http://nodejs.org)
+- [Node.js v18.17 / v20.x](http://nodejs.org)（版本尽量一样，可以使用nvm管理node版本）
 - [pnpm](https://pnpm.io/) 版本 8.6.0 (目前官方的开发环境)
 - make命令: 根据不同平台，百度安装 (官方是GNU Make 4.3)

 ## 开始本地开发

 {{% alert context="success" %}}
+
 1. 用户默认的时区为 `Asia/Shanghai`,非 linux 环境时候，获取系统时间会异常，本地开发时候，可以将用户的时区调整成 UTC（+0）。
 2. 建议先服务器装好**数据库**，再进行本地开发。
 {{% /alert %}}
@@ -47,9 +47,10 @@ git clone git@github.com:<github_username>/FastGPT.git

 ### 3. 安装数据库

-第一次开发，需要先部署数据库，建议本地开发可以随便找一台 2C2G 的轻量小数据库实践。数据库部署教程：[Docker 快速部署](/docs/development/docker/)。部署完了，可以本地访问其数据库。
-
+第一次开发，需要先部署数据库，建议本地开发可以随便找一台 2C2G 的轻量小数据库实践，或者新建文件夹并配置相关文件用以运行docker。数据库部署教程：[Docker 快速部署](/docs/development/docker/)。部署完了，可以本地访问其数据库。
+{{% alert context="warning" %}}
 Mongo 数据库需要注意，需要注意在连接地址中增加 `directConnection=true` 参数，才能连接上副本集的数据库。
+{{% /alert %}}

 ### 4. 初始配置

@@ -57,7 +58,7 @@ Mongo 数据库需要注意，需要注意在连接地址中增加 `directConnec

 **1. 环境变量**

-复制`.env.template`文件，在同级目录下生成一个`.env.local` 文件，修改`.env.local` 里内容才是有效的变量。变量说明见 .env.template
+复制`.env.template`文件，在同级目录下生成一个`.env.local` 文件，修改`.env.local` 里内容才是有效的变量。变量说明见 .env.template，主要需要修改`API_KEY`和数据库的地址与端口以及数据库账号的用户名和密码，具体配置需要和docker配置文件相同，其中用户名和密码如需修改需要修改docker配置文件、数据库和`.env.local`文件，不能只改一处。

 **2. config 配置文件**

@@ -73,7 +74,7 @@ Mongo 数据库需要注意，需要注意在连接地址中增加 `directConnec

 ### 5. 运行

-可参考项目根目录下的 `dev.md`
+可参考项目根目录下的 `dev.md`，第一次编译运行可能会有点慢，需要点耐心哦

 ```bash
 # 给自动化脚本代码执行权限(非 linux 系统, 可以手动执行里面的 postinstall.sh 文件内容)
@@ -114,7 +115,6 @@ make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8

 如果遇到问题，比如合并冲突或不知道如何打开拉取请求，请查看 GitHub 的[拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)，了解如何解决合并冲突和其他问题。一旦您的 PR 被合并，您将自豪地被列为[贡献者表](https://github.com/labring/FastGPT/graphs/contributors)中的一员。

-
 ## QA

 ### 本地数据库无法连接
@@ -130,6 +130,7 @@ make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8
 FastGPT 在`pnpm i`后会执行`postinstall`脚本，用于自动生成`ChakraUI`的`Type`。如果没有权限，可以先执行`chmod -R +x ./scripts/`，再执行`pnpm i`。

 仍不可行的话，可以手动执行`./scripts/postinstall.sh`里的内容。
+*如果是Windows下的话，可以使用git bash给`postinstall`脚本添加执行权限并执行sh脚本*

 ### TypeError: Cannot read properties of null (reading 'useMemo' )

@@ -141,6 +142,9 @@ FastGPT 在`pnpm i`后会执行`postinstall`脚本，用于自动生成`ChakraUI
 4. `cd projects/app`
 5. `pnpm dev`

+### Error response from daemon: error while creating mount source path 'XXX': mkdir XXX: file exists
+
+这个错误可能是之前停止容器时有文件残留导致的，首先需要确认相关镜像都全部关闭，然后手动删除相关文件或者重启docker即可

 ## 加入社区

@@ -155,6 +159,7 @@ FastGPT 在`pnpm i`后会执行`postinstall`脚本，用于自动生成`ChakraUI
 FastGPT 使用了 nextjs 的 page route 作为框架。为了区分好前后端代码，在目录分配上会分成 global, service, web 3个自目录，分别对应着 `前后端共用`、`后端专用`、`前端专用`的代码。

 ### monorepo
+
 FastGPT 采用 pnpm workspace 方式构建 monorepo 项目，主要分为两个部分：

 - projects/app - FastGPT 主项目  
@@ -173,6 +178,7 @@ support - 支撑功能（用户体系，计费，鉴权等）
 common - 基础功能（日志管理，文件读写等）

 {{% details title="代码结构说明" closed="true" %}}
+
 ```
 .
 ├── .github                      // github 相关配置
@@ -200,4 +206,5 @@ common - 基础功能（日志管理，文件读写等）
 ├── README_ja.md
 ├── dev.md
 ```
+
 {{% /details %}}
--- a/docSite/content/zh-cn/docs/development/openapi/chat.md
+++ b/docSite/content/zh-cn/docs/development/openapi/chat.md
@@ -7,18 +7,22 @@ toc: true
 weight: 852
 ---

-## 发起对话
-
 {{% alert icon="🤖 " context="success" %}}
 该接口的 API Key 需使用`应用特定的 key`，否则会报错。  

 有些包调用时，`BaseUrl`需要添加`v1`路径，有些不需要，如果出现404情况，可补充`v1`重试。
 {{% /alert %}}

+## 发起对话(简易应用和工作流)

-**对话接口兼容`GPT`的接口！如果你的项目使用的是标准的`GPT`官方接口，可以直接通过修改`BaseUrl`和 `Authorization`来访问 FastGpt 应用。**
+对话接口兼容`GPT`的接口！如果你的项目使用的是标准的`GPT`官方接口，可以直接通过修改`BaseUrl`和 `Authorization`来访问 FastGpt 应用，不过需要注意下面几个规则：

-## 请求
+{{% alert icon="🤖 " context="success" %}}
+* 传入的`model`，`temperature`等参数字段均无效，这些字段由编排决定。
+* 不会返回实际消耗`Token`值，如果需要，可以设置`detail=true`，并手动计算 `responseData` 里的`tokens`值。
+{{% /alert %}}
+
+### 请求

 {{< tabs tabTotal="2" >}}
 {{< tab tabName="请求示例" >}}
@@ -67,7 +71,7 @@ curl --location --request POST 'https://api.fastgpt.in/api/v1/chat/completions'
 {{< /tab >}}
 {{< /tabs >}}

-## 响应
+### 响应

 {{< tabs tabTotal="5" >}}
 {{< tab tabName="detail=false,stream=false 响应" >}}
@@ -245,7 +249,7 @@ data: [{"moduleName":"知识库搜索","moduleType":"datasetSearchNode","running
 {{< /markdownify >}}
 {{< /tab >}}

-{{< tab tabName="detail=true,stream=true 时，event值" >}}
+{{< tab tabName="event值" >}}
 {{< markdownify >}}

 event取值：
@@ -265,6 +269,192 @@ event取值：
 {{< /tabs >}}


+
+## 请求插件
+
+插件的接口与对话接口一致，仅请求参数略有区别，有以下规定：
+
+* 调用插件类型的应用时，接口默认为`detail`模式。
+* 无需传入 `chatId`，因为插件只能运行一轮。
+* 无需传入`messages`。
+* 通过传递`variables`来代表插件的输入。
+* 通过获取`pluginData`来获取插件输出。
+
+### 请求示例
+
+```bash
+curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
+--header 'Authorization: Bearer test-xxxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "stream": false,
+    "chatId": "test",
+    "variables": {
+        "query":"你好" # 我的插件输入有一个参数，变量名叫 query
+    }
+}'
+```
+
+### 响应示例
+
+{{< tabs tabTotal="3" >}}
+
+{{< tab tabName="detail=true,stream=false 响应" >}}
+{{< markdownify >}}
+
+* 插件的输出可以通过查找`responseData`中, `moduleType=pluginOutput`的元素，其`pluginOutput`是插件的输出。
+* 流输出，仍可以通过`choices`进行获取。
+
+```json
+{
+    "responseData": [
+        {
+            "nodeId": "fdDgXQ6SYn8v",
+            "moduleName": "AI 对话",
+            "moduleType": "chatNode",
+            "totalPoints": 0.685,
+            "model": "FastAI-3.5",
+            "tokens": 685,
+            "query": "你好",
+            "maxToken": 2000,
+            "historyPreview": [
+                {
+                    "obj": "Human",
+                    "value": "你好"
+                },
+                {
+                    "obj": "AI",
+                    "value": "你好！有什么可以帮助你的吗？欢迎向我提问。"
+                }
+            ],
+            "contextTotalLen": 14,
+            "runningTime": 1.73
+        },
+        {
+            "nodeId": "pluginOutput",
+            "moduleName": "自定义插件输出",
+            "moduleType": "pluginOutput",
+            "totalPoints": 0,
+            "pluginOutput": {
+                "result": "你好！有什么可以帮助你的吗？欢迎向我提问。"
+            },
+            "runningTime": 0
+        }
+    ],
+    "newVariables": {
+        "query": "你好"
+    },
+    "id": "safsafsa",
+    "model": "",
+    "usage": {
+        "prompt_tokens": 1,
+        "completion_tokens": 1,
+        "total_tokens": 1
+    },
+    "choices": [
+        {
+            "message": {
+                "role": "assistant",
+                "content": "你好！有什么可以帮助你的吗？欢迎向我提问。"
+            },
+            "finish_reason": "stop",
+            "index": 0
+        }
+    ]
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+
+{{< tab tabName="detail=true,stream=true 响应" >}}
+{{< markdownify >}}
+
+* 插件的输出可以通过获取`event=flowResponses`中的字符串，并将其反序列化后得到一个数组。同样的，查找 `moduleType=pluginOutput`的元素，其`pluginOutput`是插件的输出。
+* 流输出，仍和对话接口一样获取。
+
+```bash
+event: flowNodeStatus
+data: {"status":"running","name":"AI 对话"}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":""},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"你"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"好"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"！"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"有"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"什"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"么"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"可以"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"帮"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"助"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"你"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"的"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"吗"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"？"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":""},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{},"index":0,"finish_reason":"stop"}]}
+
+event: answer
+data: [DONE]
+
+event: flowResponses
+data: [{"nodeId":"fdDgXQ6SYn8v","moduleName":"AI 对话","moduleType":"chatNode","totalPoints":0.033,"model":"FastAI-3.5","tokens":33,"query":"你好","maxToken":2000,"historyPreview":[{"obj":"Human","value":"你好"},{"obj":"AI","value":"你好！有什么可以帮助你的吗？"}],"contextTotalLen":2,"runningTime":1.42},{"nodeId":"pluginOutput","moduleName":"自定义插件输出","moduleType":"pluginOutput","totalPoints":0,"pluginOutput":{"result":"你好！有什么可以帮助你的吗？"},"runningTime":0}]
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="输出获取" >}}
+{{< markdownify >}}
+
+event取值：
+
+- answer: 返回给客户端的文本（最终会算作回答）
+- fastAnswer: 指定回复返回给客户端的文本（最终会算作回答）
+- toolCall: 执行工具
+- toolParams: 工具参数
+- toolResponse: 工具返回
+- flowNodeStatus: 运行到的节点状态
+- flowResponses: 节点完整响应
+- updateVariables: 更新变量
+- error: 报错
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
+
 ## 使用案例

 - [接入 NextWeb/ChatGPT web 等应用](/docs/use-cases/openapi)
--- a/docSite/content/zh-cn/docs/development/openapi/dataset.md
+++ b/docSite/content/zh-cn/docs/development/openapi/dataset.md
@@ -128,8 +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 >}}
@@ -139,7 +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 >}}
--- a/docSite/content/zh-cn/docs/development/upgrading/468.md
+++ b/docSite/content/zh-cn/docs/development/upgrading/468.md
@@ -77,7 +77,7 @@ docker-compose up -d

 商业版用户需要执行一个初始化，格式化团队信息。

-发起 1 个 HTTP 请求 ({{rootkey}} 替换成环境变量里的 `rootkey`，{{host}} 替换成自己域名)
+发起 1 个 HTTP 请求 ({{rootkey}} 替换成环境变量里的 `rootkey`，{{host}} 替换成商业版域名)

 ```bash
 curl --location --request POST 'https://{{host}}/api/init/v468' \
--- a/docSite/content/zh-cn/docs/development/upgrading/486.md
+++ b/docSite/content/zh-cn/docs/development/upgrading/486.md
@@ -1,5 +1,5 @@
 ---
-title: 'V4.8.6(进行中)'
+title: 'V4.8.6(需要初始化)'
 description: 'FastGPT V4.8.6 更新说明'
 icon: 'upgrade'
 draft: false
@@ -13,9 +13,9 @@ weight: 818

 ### 2. 修改镜像

- fastgpt 镜像 tag 修改成 v4.8.6-alpha
- fastgpt-sandbox 镜像 tag 修改成 v4.8.6-alpha
- 商业版镜像 tag 修改成 v4.8.6-alpha
+- 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

@@ -33,12 +33,19 @@ curl --location --request POST 'https://{{host}}/api/admin/initv486' \

 ## V4.8.6 更新说明

-1. 新增 - 知识库支持单个集合禁用功能
-2. 新增 - 文件夹权限继承
-3. 新增 - 网页抓取和数学计算器系统插件
-4. 新增 - 移动文本加工和自定义反馈到基础节点中
-5. 优化 - Read file 默认选中从节点，实现 MongoDB 读写分离，减轻主节点压力
-6. 优化 - 知识库导入接口，返回值对齐
-7. 修复 - 工作流中团队插件加载异常
-8. 修复 - 知识库集合目录导航失效
-9. 修复 - 通过 API 调用 chat 接口，传递 System 异常
+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
--- a/docSite/content/zh-cn/docs/development/upgrading/487.md
+++ b/docSite/content/zh-cn/docs/development/upgrading/487.md
@@ -0,0 +1,29 @@
+---
+title: 'V4.8.7'
+description: 'FastGPT V4.8.7 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 817
+---
+
+## 升级指南
+
+### 1. 做好数据库备份
+
+### 2. 修改镜像
+
+- fastgpt 镜像 tag 修改成 v4.8.7
+- 商业版镜像 tag 修改成 v4.8.7
+
+-------
+
+## V4.8.7 更新说明
+
+1. 新增 - 插件支持独立运行，发布和日志查看
+2. 新增 - 应用搜索
+3. 优化 - 对话框代码
+4. 优化 - 升级 Dockerfile node 和 pnpm 版本
+5. 优化 - local 域名部署，也可以正常使用 vision 模式
+6. 修复 - 简易模式无法变更全局变量
+7. 修复 - gpt4o 无法同时使用工具和图片
--- a/docSite/content/zh-cn/docs/development/upgrading/488.md
+++ b/docSite/content/zh-cn/docs/development/upgrading/488.md
@@ -0,0 +1,25 @@
+---
+title: 'V4.8.8(进行中)'
+description: 'FastGPT V4.8.8 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 816
+---
+
+## 升级指南
+
+### 1. 做好数据库备份
+
+### 2. 修改镜像
+
+- fastgpt 镜像 tag 修改成 v4.8.8-alpha
+- 商业版镜像 tag 修改成 v4.8.8-alpha
+
+-------
+
+## V4.8. 8 更新说明
+
+1. 新增 - 重构系统插件的结构。允许向开源社区 PR 系统插件，具体可见: [如何向 FastGPT 社区提交系统插件](https://fael3z0zfze.feishu.cn/wiki/ERZnw9R26iRRG0kXZRec6WL9nwh)。欢迎
+2. 新增 - DuckDuckGo 系统插件。
+3. 优化 - 节点图标。
--- a/docSite/content/zh-cn/docs/workflow/examples/feishu_webhook.md
+++ b/docSite/content/zh-cn/docs/workflow/examples/feishu_webhook.md
@@ -78,7 +78,7 @@ weight: 404
    },
    {
      "nodeId": "u6IAOEssxoZT",
-      "name": "工具调用(实验)",
+      "name": "工具调用",
      "intro": "通过AI模型自动选择一个或多个功能块进行调用，也可以对插件进行调用。",
      "avatar": "/imgs/workflow/tool.svg",
      "flowNodeType": "tools",
--- a/docSite/hugo.toml
+++ b/docSite/hugo.toml
@@ -5,6 +5,7 @@ enableEmoji = true
 enableGitInfo = false # N.B. .GitInfo does not currently function with git submodule content directories

 defaultContentLanguage = 'zh-cn'
+defaultContentLanguageInSubdir = false
 [languages]
  [languages.zh-cn]
    title = "FastGPT"
--- a/docSite/layouts/partials/docs/gitinfo.html
+++ b/docSite/layouts/partials/docs/gitinfo.html
@@ -15,7 +15,7 @@
 {{ end }}

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

--- a/files/docker/docker-compose-milvus.yml
+++ b/files/docker/docker-compose-milvus.yml
@@ -121,8 +121,8 @@ services:
    restart: always
  fastgpt:
    container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.5 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.5 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.7 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.7 # 阿里云
    ports:
      - 3000:3000
    networks:
--- a/files/docker/docker-compose-pgvector.yml
+++ b/files/docker/docker-compose-pgvector.yml
@@ -79,8 +79,8 @@ services:
    restart: always
  fastgpt:
    container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.5 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.5 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.7 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.7 # 阿里云
    ports:
      - 3000:3000
    networks:
--- a/files/docker/docker-compose-zilliz.yml
+++ b/files/docker/docker-compose-zilliz.yml
@@ -60,8 +60,8 @@ services:
    restart: always
  fastgpt:
    container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.5 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.5 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.7 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.7 # 阿里云
    ports:
      - 3000:3000
    networks:
--- a/package.json
+++ b/package.json
@@ -14,11 +14,11 @@
  "devDependencies": {
    "@chakra-ui/cli": "^2.4.1",
    "husky": "^8.0.3",
-    "i18next": "23.10.0",
    "lint-staged": "^13.3.0",
-    "next-i18next": "15.2.0",
+    "i18next": "23.11.5",
+    "next-i18next": "15.3.0",
+    "react-i18next": "14.1.2",
    "prettier": "3.2.4",
-    "react-i18next": "13.5.0",
    "zhlint": "^0.7.4"
  },
  "lint-staged": {
@@ -26,7 +26,7 @@
    "./docSite/**/**/*.md": "npm run format-doc"
  },
  "engines": {
-    "node": ">=18.0.0",
-    "pnpm": ">=8.6.0"
+    "node": ">=18.16.0",
+    "pnpm": ">=9.0.0"
  }
-}
+}
--- a/packages/global/common/file/image/type.d.ts
+++ b/packages/global/common/file/image/type.d.ts
@@ -9,6 +9,7 @@ export type MongoImageSchemaType = {
  type: `${MongoImageTypeEnum}`;

  metadata?: {
+    mime?: string; // image mime type.
    relatedId?: string; // This id is associated with a set of images
  };
 };
--- a/packages/global/common/system/types/index.d.ts
+++ b/packages/global/common/system/types/index.d.ts
@@ -32,9 +32,12 @@ export type FastGPTFeConfigsType = {
  show_promotion?: boolean;
  show_team_chat?: boolean;
  concatMd?: string;
+
  docUrl?: string;
  chatbotUrl?: string;
  openAPIDocUrl?: string;
+  systemPluginCourseUrl?: string;
+
  systemTitle?: string;
  systemDescription?: string;
  googleClientVerKey?: string;
@@ -70,9 +73,3 @@ export type SystemEnvType = {
  oneapiUrl?: string;
  chatApiKey?: string;
 };
-
-// declare global {
-//   var feConfigs: FastGPTFeConfigsType;
-//   var systemEnv: SystemEnvType;
-//   var systemInitd: boolean;
-// }
--- a/packages/global/core/ai/model.ts
+++ b/packages/global/core/ai/model.ts
@@ -2,8 +2,8 @@ import type { LLMModelItemType, VectorModelItemType } from './model.d';

 export const defaultQAModels: LLMModelItemType[] = [
  {
-    model: 'gpt-3.5-turbo',
-    name: 'gpt-3.5-turbo',
+    model: 'gpt-4o-mini',
+    name: 'gpt-4o-mini',
    maxContext: 16000,
    maxResponse: 16000,
    quoteMaxToken: 13000,
--- a/packages/global/core/app/plugin/utils.ts
+++ b/packages/global/core/app/plugin/utils.ts
@@ -0,0 +1,10 @@
+import { StoreNodeItemType } from '../../workflow/type/node';
+import { FlowNodeInputItemType } from '../../workflow/type/io';
+import { FlowNodeTypeEnum } from '../../workflow/node/constant';
+
+export const getPluginInputsFromStoreNodes = (nodes: StoreNodeItemType[]) => {
+  return nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput)?.inputs || [];
+};
+export const getPluginRunContent = (e: { pluginInputs: FlowNodeInputItemType[] }) => {
+  return JSON.stringify(e);
+};
--- a/packages/global/core/app/type.d.ts
+++ b/packages/global/core/app/type.d.ts
@@ -21,6 +21,7 @@ export type AppSchema = {
  name: string;
  avatar: string;
  intro: string;
+
  updateTime: Date;

  modules: StoreNodeItemType[];
--- a/packages/global/core/app/utils.ts
+++ b/packages/global/core/app/utils.ts
@@ -8,7 +8,7 @@ import { DatasetSearchModeEnum } from '../dataset/constants';

 export const getDefaultAppForm = (): AppSimpleEditFormType => ({
  aiSettings: {
-    model: 'gpt-3.5-turbo',
+    model: 'gpt-4o-mini',
    systemPrompt: '',
    temperature: 0,
    isResponseAnswerText: true,
--- a/packages/global/core/chat/adapt.ts
+++ b/packages/global/core/chat/adapt.ts
@@ -56,7 +56,10 @@ export const chats2GPTMessages = ({
              text: item.text?.content || ''
            };
          }
-          if (item.type === 'file' && item.file?.type === ChatFileTypeEnum.image) {
+          if (
+            item.type === ChatItemValueTypeEnum.file &&
+            item.file?.type === ChatFileTypeEnum.image
+          ) {
            return {
              type: 'image_url',
              image_url: {
@@ -64,7 +67,6 @@ export const chats2GPTMessages = ({
              }
            };
          }
-          return;
        })
        .filter(Boolean) as ChatCompletionContentPart[];

@@ -166,7 +168,7 @@ export const GPTMessages2Chats = (
            } else if (item.type === 'image_url') {
              value.push({
                //@ts-ignore
-                type: 'file',
+                type: ChatItemValueTypeEnum.file,
                file: {
                  type: ChatFileTypeEnum.image,
                  name: '',
@@ -175,7 +177,6 @@ export const GPTMessages2Chats = (
              });
            }
          });
-          // @ts-ignore
        }
      } else if (
        obj === ChatRoleEnum.AI &&
--- a/packages/global/core/chat/constants.ts
+++ b/packages/global/core/chat/constants.ts
@@ -56,7 +56,4 @@ export enum ChatStatusEnum {
  finish = 'finish'
 }

-export const IMG_BLOCK_KEY = 'img-block';
-export const FILE_BLOCK_KEY = 'file-block';
-
 export const MARKDOWN_QUOTE_SIGN = 'QUOTE SIGN';
--- a/packages/global/core/chat/type.d.ts
+++ b/packages/global/core/chat/type.d.ts
@@ -13,8 +13,8 @@ import { DispatchNodeResponseKeyEnum } from '../workflow/runtime/constants';
 import { AppChatConfigType, AppSchema, VariableItemType } from '../app/type';
 import type { AppSchema as AppType } from '@fastgpt/global/core/app/type.d';
 import { DatasetSearchModeEnum } from '../dataset/constants';
-import { ChatBoxInputType } from '../../../../projects/app/src/components/ChatBox/type';
 import { DispatchNodeResponseType } from '../workflow/runtime/type.d';
+import { ChatBoxInputType } from '../../../../projects/app/src/components/core/chat/ChatContainer/ChatBox/type';

 export type ChatSchema = {
  _id: string;
@@ -115,6 +115,7 @@ export type ChatSiteItemType = (UserChatItemType | SystemChatItemType | AIChatIt
  status: `${ChatStatusEnum}`;
  moduleName?: string;
  ttsBuffer?: Uint8Array;
+  responseData?: ChatHistoryItemResType[];
 } & ChatBoxInputType;

 /* --------- team chat --------- */
--- a/packages/global/core/chat/utils.ts
+++ b/packages/global/core/chat/utils.ts
@@ -65,11 +65,12 @@ export const filterPublicNodeResponseData = ({
 }: {
  flowResponses?: ChatHistoryItemResType[];
 }) => {
-  const filedList = ['quoteList', 'moduleType'];
+  const filedList = ['quoteList', 'moduleType', 'pluginOutput'];
  const filterModuleTypeList: any[] = [
    FlowNodeTypeEnum.pluginModule,
    FlowNodeTypeEnum.datasetSearchNode,
-    FlowNodeTypeEnum.tools
+    FlowNodeTypeEnum.tools,
+    FlowNodeTypeEnum.pluginOutput
  ];

  return flowResponses
@@ -89,14 +90,22 @@ export const filterPublicNodeResponseData = ({
    });
 };

-export const removeEmptyUserInput = (input: UserChatItemValueItemType[]) => {
-  return input.filter((item) => {
-    if (item.type === ChatItemValueTypeEnum.text && !item.text?.content?.trim()) {
-      return false;
-    }
-    if (item.type === ChatItemValueTypeEnum.file && !item.file?.url) {
-      return false;
-    }
-    return true;
-  });
+export const removeEmptyUserInput = (input?: UserChatItemValueItemType[]) => {
+  return (
+    input?.filter((item) => {
+      if (item.type === ChatItemValueTypeEnum.text && !item.text?.content?.trim()) {
+        return false;
+      }
+      if (item.type === ChatItemValueTypeEnum.file && !item.file?.url) {
+        return false;
+      }
+      return true;
+    }) || []
+  );
+};
+
+export const getPluginOutputsFromChatResponses = (responses: ChatHistoryItemResType[]) => {
+  const outputs =
+    responses.find((item) => item.moduleType === FlowNodeTypeEnum.pluginOutput)?.pluginOutput ?? {};
+  return outputs;
 };
--- a/packages/global/core/plugin/type.d.ts
+++ b/packages/global/core/plugin/type.d.ts
@@ -32,7 +32,7 @@ export type PluginItemSchema = {
 export type PluginTemplateType = PluginRuntimeType & {
  author?: string;
  id: string;
-  source: `${PluginSourceEnum}`;
+  source: PluginSourceEnum;
  templateType: FlowNodeTemplateType['templateType'];
  intro: string;
  version: string;
--- a/packages/global/core/workflow/constants.ts
+++ b/packages/global/core/workflow/constants.ts
@@ -4,6 +4,9 @@ export enum FlowNodeTemplateTypeEnum {
  function = 'function',
  tools = 'tools',

+  search = 'search',
+  multimodal = 'multimodal',
+
  other = 'other',
  teamApp = 'teamApp'
 }
--- a/packages/global/core/workflow/runtime/type.d.ts
+++ b/packages/global/core/workflow/runtime/type.d.ts
@@ -67,11 +67,12 @@ export type RuntimeNodeItemType = {
 };

 export type PluginRuntimeType = {
+  id: string;
  teamId?: string;
  name: string;
  avatar: string;
  showStatus?: boolean;
-  isTool?: boolean;
+  currentCost?: number;
  nodes: StoreNodeItemType[];
  edges: StoreEdgeItemType[];
 };
@@ -142,6 +143,9 @@ export type DispatchNodeResponseType = {

  // code
  codeLog?: string;
+
+  // plugin
+  pluginOutput?: Record<string, any>;
 };

 export type DispatchNodeResultType<T> = {
--- a/packages/global/core/workflow/runtime/utils.ts
+++ b/packages/global/core/workflow/runtime/utils.ts
@@ -123,6 +123,7 @@ export const checkNodeRunStatus = ({
    (item) => item.target === node.nodeId
  );

+  // Entry
  if (workflowEdges.length === 0) {
    return 'run';
  }
--- a/packages/global/core/workflow/template/output.ts
+++ b/packages/global/core/workflow/template/output.ts
@@ -8,5 +8,10 @@ export const Output_Template_AddOutput: FlowNodeOutputItemType = {
  key: NodeOutputKeyEnum.addOutputParam,
  type: FlowNodeOutputTypeEnum.dynamic,
  valueType: WorkflowIOValueTypeEnum.dynamic,
-  label: ''
+  label: '',
+  customFieldConfig: {
+    selectValueTypeList: Object.values(WorkflowIOValueTypeEnum),
+    showDescription: false,
+    showDefaultValue: false
+  }
 };
--- a/packages/global/core/workflow/template/system/aiChat.ts
+++ b/packages/global/core/workflow/template/system/aiChat.ts
@@ -26,7 +26,7 @@ export const AiChatModule: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.chatNode,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/AI.png',
+  avatar: 'core/workflow/template/aiChat',
  name: 'AI 对话',
  intro: 'AI 大模型对话',
  showStatus: true,
--- a/packages/global/core/workflow/template/system/assignedAnswer.ts
+++ b/packages/global/core/workflow/template/system/assignedAnswer.ts
@@ -13,7 +13,7 @@ export const AssignedAnswerModule: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.answerNode,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/reply.png',
+  avatar: 'core/workflow/template/reply',
  name: '指定回复',
  intro:
    '该模块可以直接回复一段指定的内容。常用于引导、提示。非字符串内容传入时，会转成字符串进行输出。',
--- a/packages/global/core/workflow/template/system/classifyQuestion/index.ts
+++ b/packages/global/core/workflow/template/system/classifyQuestion/index.ts
@@ -25,7 +25,7 @@ export const ClassifyQuestionModule: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.classifyQuestion,
  sourceHandle: getHandleConfig(false, false, false, false),
  targetHandle: getHandleConfig(true, false, true, true),
-  avatar: '/imgs/workflow/cq.png',
+  avatar: 'core/workflow/template/questionClassify',
  name: '问题分类',
  intro: `根据用户的历史记录和当前问题判断该次提问的类型。可以添加多组问题类型，下面是一个模板例子：\n类型1: 打招呼\n类型2: 关于商品“使用”问题\n类型3: 关于商品“购买”问题\n类型4: 其他问题`,
  showStatus: true,
--- a/packages/global/core/workflow/template/system/contextExtract/index.ts
+++ b/packages/global/core/workflow/template/system/contextExtract/index.ts
@@ -20,7 +20,7 @@ export const ContextExtractModule: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.contentExtract,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/extract.png',
+  avatar: 'core/workflow/template/extractJson',
  name: '文本内容提取',
  intro: '可从文本中提取指定的数据，例如：sql语句、搜索关键词、代码等',
  showStatus: true,
--- a/packages/global/core/workflow/template/system/customFeedback.ts
+++ b/packages/global/core/workflow/template/system/customFeedback.ts
@@ -13,7 +13,7 @@ export const CustomFeedbackNode: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.customFeedback,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/customFeedback.svg',
+  avatar: 'core/workflow/template/customFeedback',
  name: '自定义反馈',
  intro: '该模块被触发时，会给当前的对话记录增加一条反馈。可用于自动记录对话效果等。',
  version: '486',
--- a/packages/global/core/workflow/template/system/datasetConcat.ts
+++ b/packages/global/core/workflow/template/system/datasetConcat.ts
@@ -37,7 +37,7 @@ export const DatasetConcatModule: FlowNodeTemplateType = {
  templateType: FlowNodeTemplateTypeEnum.other,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/concat.svg',
+  avatar: 'core/workflow/template/datasetConcat',
  name: '知识库搜索引用合并',
  intro: '可以将多个知识库搜索结果进行合并输出。使用 RRF 的合并方式进行最终排序输出。',
  showStatus: false,
--- a/packages/global/core/workflow/template/system/datasetSearch.ts
+++ b/packages/global/core/workflow/template/system/datasetSearch.ts
@@ -23,7 +23,7 @@ export const DatasetSearchModule: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.datasetSearchNode,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/db.png',
+  avatar: 'core/workflow/template/datasetSearch',
  name: '知识库搜索',
  intro: Dataset_SEARCH_DESC,
  showStatus: true,
--- a/packages/global/core/workflow/template/system/http468.ts
+++ b/packages/global/core/workflow/template/system/http468.ts
@@ -20,7 +20,7 @@ export const HttpNode468: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.httpRequest468,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/http.png',
+  avatar: 'core/workflow/template/httpRequest',
  name: 'HTTP 请求',
  intro: '可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）',
  showStatus: true,
@@ -82,12 +82,7 @@ export const HttpNode468: FlowNodeTemplateType = {
  ],
  outputs: [
    {
-      ...Output_Template_AddOutput,
-      customFieldConfig: {
-        selectValueTypeList: Object.values(WorkflowIOValueTypeEnum),
-        showDescription: false,
-        showDefaultValue: true
-      }
+      ...Output_Template_AddOutput
    },
    {
      id: NodeOutputKeyEnum.error,
--- a/packages/global/core/workflow/template/system/ifElse/index.ts
+++ b/packages/global/core/workflow/template/system/ifElse/index.ts
@@ -18,7 +18,7 @@ export const IfElseNode: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.ifElseNode,
  sourceHandle: getHandleConfig(false, false, false, false),
  targetHandle: getHandleConfig(true, false, true, true),
-  avatar: '/imgs/workflow/ifElse.svg',
+  avatar: 'core/workflow/template/ifelse',
  name: '判断器',
  intro: '根据一定的条件，执行不同的分支。',
  showStatus: true,
--- a/packages/global/core/workflow/template/system/laf.ts
+++ b/packages/global/core/workflow/template/system/laf.ts
@@ -26,7 +26,7 @@ export const LafModule: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.lafModule,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/laf.png',
+  avatar: 'core/workflow/template/lafDispatch',
  name: 'Laf 函数调用（测试）',
  intro: '可以调用Laf账号下的云函数。',
  showStatus: true,
--- a/packages/global/core/workflow/template/system/pluginInput.ts
+++ b/packages/global/core/workflow/template/system/pluginInput.ts
@@ -11,7 +11,7 @@ export const PluginInputModule: FlowNodeTemplateType = {
  targetHandle: getHandleConfig(false, false, false, false),
  unique: true,
  forbidDelete: true,
-  avatar: '/imgs/workflow/input.png',
+  avatar: 'core/workflow/template/workflowStart',
  name: '插件输入',
  intro: '可以配置插件需要哪些输入，利用这些输入来运行插件',
  showStatus: false,
--- a/packages/global/core/workflow/template/system/pluginOutput.ts
+++ b/packages/global/core/workflow/template/system/pluginOutput.ts
@@ -11,7 +11,7 @@ export const PluginOutputModule: FlowNodeTemplateType = {
  targetHandle: getHandleConfig(false, false, false, true),
  unique: true,
  forbidDelete: true,
-  avatar: '/imgs/workflow/output.png',
+  avatar: 'core/workflow/template/pluginOutput',
  name: '自定义插件输出',
  intro: '自定义配置外部输出，使用插件时，仅暴露自定义配置的输出',
  showStatus: false,
--- a/packages/global/core/workflow/template/system/queryExtension.ts
+++ b/packages/global/core/workflow/template/system/queryExtension.ts
@@ -19,12 +19,12 @@ import { LLMModelTypeEnum } from '../../../ai/constants';
 import { getHandleConfig } from '../utils';

 export const AiQueryExtension: FlowNodeTemplateType = {
-  id: FlowNodeTypeEnum.chatNode,
+  id: FlowNodeTypeEnum.queryExtension,
  templateType: FlowNodeTemplateTypeEnum.other,
  flowNodeType: FlowNodeTypeEnum.queryExtension,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/cfr.svg',
+  avatar: 'core/workflow/template/queryExtension',
  name: '问题优化',
  intro:
    '使用问题优化功能，可以提高知识库连续对话时搜索的精度。使用该功能后，会先利用 AI 根据上下文构建一个或多个新的检索词，这些检索词更利于进行知识库搜索。该模块已内置在知识库搜索模块中，如果您仅进行一次知识库搜索，可直接使用知识库内置的补全功能。',
--- a/packages/global/core/workflow/template/system/runApp/index.ts
+++ b/packages/global/core/workflow/template/system/runApp/index.ts
@@ -19,7 +19,7 @@ export const RunAppModule: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.runApp,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/app.png',
+  avatar: 'core/workflow/template/runApp',
  name: '应用调用',
  intro: '可以选择一个其他应用进行调用',
  showStatus: true,
--- a/packages/global/core/workflow/template/system/sandbox/index.ts
+++ b/packages/global/core/workflow/template/system/sandbox/index.ts
@@ -21,7 +21,7 @@ export const CodeNode: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.code,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/code.svg',
+  avatar: 'core/workflow/template/codeRun',
  name: '代码运行',
  intro: '执行一段简单的脚本代码，通常用于进行复杂的数据处理。',
  showStatus: true,
@@ -36,6 +36,32 @@ export const CodeNode: FlowNodeTemplateType = {
        showDefaultValue: true
      }
    },
+    {
+      renderTypeList: [FlowNodeInputTypeEnum.reference],
+      valueType: WorkflowIOValueTypeEnum.string,
+      canEdit: true,
+      key: 'data1',
+      label: 'data1',
+      customInputConfig: {
+        selectValueTypeList: Object.values(WorkflowIOValueTypeEnum),
+        showDescription: false,
+        showDefaultValue: true
+      },
+      required: true
+    },
+    {
+      renderTypeList: [FlowNodeInputTypeEnum.reference],
+      valueType: WorkflowIOValueTypeEnum.string,
+      canEdit: true,
+      key: 'data2',
+      label: 'data2',
+      customInputConfig: {
+        selectValueTypeList: Object.values(WorkflowIOValueTypeEnum),
+        showDescription: false,
+        showDefaultValue: true
+      },
+      required: true
+    },
    {
      key: NodeInputKeyEnum.codeType,
      renderTypeList: [FlowNodeInputTypeEnum.hidden],
@@ -52,7 +78,7 @@ export const CodeNode: FlowNodeTemplateType = {
  outputs: [
    {
      ...Output_Template_AddOutput,
-      description: '将代码中 return 的对象作为输出，传递给后续的节点'
+      description: '将代码中 return 的对象作为输出，传递给后续的节点。变量名需要对应 return 的 key'
    },
    {
      id: NodeOutputKeyEnum.rawResponse,
--- a/packages/global/core/workflow/template/system/stopTool.ts
+++ b/packages/global/core/workflow/template/system/stopTool.ts
@@ -9,7 +9,7 @@ export const StopToolNode: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.stopTool,
  sourceHandle: getHandleConfig(false, false, false, false),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/toolStop.svg',
+  avatar: 'core/workflow/template/stopTool',
  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。',
--- a/packages/global/core/workflow/template/system/systemConfig.ts
+++ b/packages/global/core/workflow/template/system/systemConfig.ts
@@ -9,7 +9,7 @@ export const SystemConfigNode: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.systemConfig,
  sourceHandle: getHandleConfig(false, false, false, false),
  targetHandle: getHandleConfig(false, false, false, false),
-  avatar: '/imgs/workflow/userGuide.png',
+  avatar: 'core/workflow/template/systemConfig',
  name: '系统配置',
  intro: '可以配置应用的系统参数。',
  unique: true,
--- a/packages/global/core/workflow/template/system/textEditor.ts
+++ b/packages/global/core/workflow/template/system/textEditor.ts
@@ -19,7 +19,7 @@ export const TextEditorNode: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.textEditor,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/textEditor.svg',
+  avatar: 'core/workflow/template/textConcat',
  name: '文本拼接',
  intro: '可对固定或传入的文本进行加工后输出，非字符串类型数据最终会转成字符串类型。',
  version: '486',
--- a/packages/global/core/workflow/template/system/tools.ts
+++ b/packages/global/core/workflow/template/system/tools.ts
@@ -26,8 +26,8 @@ export const ToolModule: FlowNodeTemplateType = {
  templateType: FlowNodeTemplateTypeEnum.ai,
  sourceHandle: getHandleConfig(true, true, false, true),
  targetHandle: getHandleConfig(true, true, false, true),
-  avatar: '/imgs/workflow/tool.svg',
-  name: '工具调用(实验)',
+  avatar: 'core/workflow/template/toolCall',
+  name: '工具调用',
  intro: '通过AI模型自动选择一个或多个功能块进行调用，也可以对插件进行调用。',
  showStatus: true,
  version: '481',
--- a/packages/global/core/workflow/template/system/variableUpdate/index.tsx
+++ b/packages/global/core/workflow/template/system/variableUpdate/index.tsx
@@ -13,7 +13,7 @@ export const VariableUpdateNode: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.variableUpdate,
  sourceHandle: getHandleConfig(true, true, true, true),
  targetHandle: getHandleConfig(true, true, true, true),
-  avatar: '/imgs/workflow/variable.png',
+  avatar: 'core/workflow/template/variableUpdate',
  name: '变量更新',
  intro: '可以更新指定节点的输出值或更新全局变量',
  showStatus: false,
--- a/packages/global/core/workflow/template/system/workflowStart.ts
+++ b/packages/global/core/workflow/template/system/workflowStart.ts
@@ -14,7 +14,7 @@ export const WorkflowStart: FlowNodeTemplateType = {
  flowNodeType: FlowNodeTypeEnum.workflowStart,
  sourceHandle: getHandleConfig(false, true, false, false),
  targetHandle: getHandleConfig(false, false, false, false),
-  avatar: '/imgs/workflow/userChatInput.svg',
+  avatar: 'core/workflow/template/workflowStart',
  name: '流程开始',
  intro: '',
  forbidDelete: true,
--- a/packages/global/core/workflow/type/index.d.ts
+++ b/packages/global/core/workflow/type/index.d.ts
@@ -42,17 +42,29 @@ export type WorkflowTemplateType = {

  workflow: WorkflowTemplateBasicType;
 };
+
 // template market
 export type TemplateMarketItemType = WorkflowTemplateType & {
  tags?: { id: string; label: string }[];
 };
+
 // system plugin
 export type SystemPluginTemplateItemType = WorkflowTemplateType & {
  templateType: FlowNodeTemplateTypeEnum;
  isTool?: boolean;

+  // commercial plugin config
  originCost: number; // n points/one time
  currentCost: number;

+  isActive?: boolean;
+  inputConfig?: {
+    // Render config input form. Find the corresponding node and replace the variable directly
+    key: string;
+    label: string;
+    description: string;
+    value?: any;
+  }[];
+
  workflow: WorkflowTemplateBasicType;
 };
--- a/packages/global/core/workflow/type/node.d.ts
+++ b/packages/global/core/workflow/type/node.d.ts
@@ -70,7 +70,7 @@ export type FlowNodeTemplateType = FlowNodeCommonType & {
 export type NodeTemplateListItemType = {
  id: string; // 系统节点-系统节点的 id， 系统插件-插件的 id，团队应用的 id
  flowNodeType: FlowNodeTypeEnum; // render node card
-  parentId?: string;
+  parentId?: ParentIdType;
  isFolder?: boolean;
  templateType: FlowNodeTemplateTypeEnum;
  avatar?: string;
@@ -79,6 +79,7 @@ export type NodeTemplateListItemType = {
  isTool?: boolean;
  author?: string;
  unique?: boolean; // 唯一的
+  currentCost?: number; // 当前积分消耗
 };

 export type NodeTemplateListType = {
--- a/packages/global/core/workflow/utils.ts
+++ b/packages/global/core/workflow/utils.ts
@@ -22,6 +22,7 @@ import {
  defaultWhisperConfig
 } from '../app/constants';
 import { IfElseResultEnum } from './template/system/ifElse/constant';
+import { RuntimeNodeItemType } from './runtime/type';

 export const getHandleId = (nodeId: string, type: 'source' | 'target', key: string) => {
  return `${nodeId}-${type}-${key}`;
@@ -190,3 +191,38 @@ export const isReferenceValue = (value: any): boolean => {
 export const getElseIFLabel = (i: number) => {
  return i === 0 ? IfElseResultEnum.IF : `${IfElseResultEnum.ELSE_IF} ${i}`;
 };
+
+// add value to plugin input node when run plugin
+export const updatePluginInputByVariables = (
+  nodes: RuntimeNodeItemType[],
+  variables: Record<string, any>
+) => {
+  return nodes.map((node) =>
+    node.flowNodeType === FlowNodeTypeEnum.pluginInput
+      ? {
+          ...node,
+          inputs: node.inputs.map((input) => {
+            const parseValue = (() => {
+              try {
+                if (
+                  input.valueType === WorkflowIOValueTypeEnum.string ||
+                  input.valueType === WorkflowIOValueTypeEnum.number ||
+                  input.valueType === WorkflowIOValueTypeEnum.boolean
+                )
+                  return variables[input.key];
+
+                return JSON.parse(variables[input.key]);
+              } catch (e) {
+                return variables[input.key];
+              }
+            })();
+
+            return {
+              ...input,
+              value: parseValue ?? input.value
+            };
+          })
+        }
+      : node
+  );
+};
--- a/packages/global/package.json
+++ b/packages/global/package.json
@@ -10,13 +10,13 @@
    "js-yaml": "^4.1.0",
    "jschardet": "3.1.1",
    "nanoid": "^4.0.1",
-    "next": "14.2.3",
+    "next": "14.2.5",
    "openai": "4.28.0",
    "openapi-types": "^12.1.3",
    "timezones-list": "^3.0.2"
  },
  "devDependencies": {
    "@types/js-yaml": "^4.0.9",
-    "@types/node": "^20.14.2"
+    "@types/node": "20.14.0"
  }
 }
--- a/packages/plugins/package.json
+++ b/packages/plugins/package.json
@@ -2,11 +2,14 @@
  "name": "@fastgpt/plugins",
  "version": "1.0.0",
  "dependencies": {
+    "duck-duck-scrape": "^2.2.5",
+    "lodash": "^4.17.21",
    "expr-eval": "^2.0.2"
  },
  "devDependencies": {
    "@fastgpt/global": "workspace:*",
    "@fastgpt/service": "workspace:*",
-    "@types/node": "^20.14.2"
+    "@types/lodash": "^4.14.191",
+    "@types/node": "20.14.0"
  }
 }
--- a/packages/plugins/register.ts
+++ b/packages/plugins/register.ts
@@ -1,57 +1,126 @@
 import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
-import { FlowNodeTemplateTypeEnum } from '@fastgpt/global/core/workflow/constants';
-import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
 import { SystemPluginResponseType } from './type';
-import { NodeTemplateListItemType } from '@fastgpt/global/core/workflow/type/node';
-import { isProduction } from '../service/common/system/constants';
+import { FastGPTProUrl, isProduction } from '../service/common/system/constants';
+import { GET, POST } from '@fastgpt/service/common/api/plusRequest';
+import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
+import { cloneDeep } from 'lodash';

-let list = ['getTime', 'fetchUrl', 'mathExprVal'];
+let list = [
+  'getTime',
+  'fetchUrl',
+  'mathExprVal',
+  'duckduckgo',
+  'duckduckgo/search',
+  'duckduckgo/searchImg',
+  'duckduckgo/searchNews',
+  'duckduckgo/searchVideo'
+];

+/* Get plugins */
 export const getCommunityPlugins = () => {
-  if (isProduction && global.communitySystemPlugins) return global.communitySystemPlugins;
+  return list.map<SystemPluginTemplateItemType>((name) => {
+    const config = require(`./src/${name}/template.json`);

-  global.communitySystemPlugins = list.map((name) => ({
-    ...require(`./src/${name}/template.json`),
-    id: `${PluginSourceEnum.community}-${name}`
-  }));
+    const isFolder = list.find((item) => item.startsWith(`${name}/`));

-  return global.communitySystemPlugins;
+    const parentIdList = name.split('/').slice(0, -1);
+    const parentId =
+      parentIdList.length > 0 ? `${PluginSourceEnum.community}-${parentIdList.join('/')}` : null;
+
+    return {
+      ...config,
+      id: `${PluginSourceEnum.community}-${name}`,
+      isFolder,
+      parentId,
+      isActive: true
+    };
+  });
 };
+const getCommercialPlugins = () => {
+  return GET<SystemPluginTemplateItemType[]>('/core/app/plugin/getSystemPlugins');
+};
+export const getSystemPluginTemplates = async (refresh = false) => {
+  if (isProduction && global.systemPlugins && !refresh) return cloneDeep(global.systemPlugins);

-export const getCommunityPluginsTemplateList = () => {
-  return getCommunityPlugins().map<NodeTemplateListItemType>((plugin) => ({
-    id: plugin.id,
-    templateType: plugin.templateType ?? FlowNodeTemplateTypeEnum.other,
-    flowNodeType: FlowNodeTypeEnum.pluginModule,
-    avatar: plugin.avatar,
-    name: plugin.name,
-    intro: plugin.intro,
-    isTool: plugin.isTool
-  }));
+  try {
+    if (!global.systemPlugins) {
+      global.systemPlugins = [];
+    }
+
+    global.systemPlugins = FastGPTProUrl ? await getCommercialPlugins() : getCommunityPlugins();
+
+    return cloneDeep(global.systemPlugins);
+  } catch (error) {
+    //@ts-ignore
+    global.systemPlugins = undefined;
+    return Promise.reject(error);
+  }
 };

 export const getCommunityCb = async () => {
-  if (isProduction && global.communitySystemPluginCb) return global.communitySystemPluginCb;
-
  // Do not modify the following code
  const loadModule = async (name: string) => {
    const module = await import(`./src/${name}/index`);
    return module.default;
  };

-  const result = await Promise.all(
-    list.map(async (name) => ({
-      name,
-      cb: await loadModule(name)
-    }))
+  const result = (
+    await Promise.all(
+      list.map(async (name) => {
+        try {
+          return {
+            name,
+            cb: await loadModule(name)
+          };
+        } catch (error) {}
+      })
+    )
+  ).filter(Boolean) as {
+    name: string;
+    cb: any;
+  }[];
+
+  return result.reduce<Record<string, (e: any) => SystemPluginResponseType>>(
+    (acc, { name, cb }) => {
+      acc[name] = cb;
+      return acc;
+    },
+    {}
  );
-
-  global.communitySystemPluginCb = result.reduce<
-    Record<string, (e: any) => SystemPluginResponseType>
-  >((acc, { name, cb }) => {
-    acc[name] = cb;
-    return acc;
-  }, {});
-
-  return global.communitySystemPluginCb;
+};
+const getCommercialCb = async () => {
+  const plugins = await getSystemPluginTemplates();
+  const result = plugins.map((plugin) => {
+    const name = plugin.id.split('-')[1];
+
+    return {
+      name,
+      cb: (e: any) =>
+        POST<Record<string, any>>('/core/app/plugin/run', {
+          pluginName: name,
+          data: e
+        })
+    };
+  });
+
+  return result.reduce<Record<string, (e: any) => SystemPluginResponseType>>(
+    (acc, { name, cb }) => {
+      acc[name] = cb;
+      return acc;
+    },
+    {}
+  );
+};
+export const getSystemPluginCb = async () => {
+  if (isProduction && global.systemPluginCb) return global.systemPluginCb;
+
+  try {
+    global.systemPluginCb = {};
+    global.systemPluginCb = FastGPTProUrl ? await getCommercialCb() : await getCommunityCb();
+    return global.systemPluginCb;
+  } catch (error) {
+    //@ts-ignore
+    global.systemPluginCb = undefined;
+    return Promise.reject(error);
+  }
 };
--- a/packages/plugins/src/duckduckgo/search/index.ts
+++ b/packages/plugins/src/duckduckgo/search/index.ts
@@ -0,0 +1,47 @@
+import { search, SafeSearchType } from 'duck-duck-scrape';
+import { delay } from '@fastgpt/global/common/system/utils';
+import { addLog } from '@fastgpt/service/common/system/log';
+
+type Props = {
+  query: string;
+};
+
+// Response type same as HTTP outputs
+type Response = Promise<{
+  result: string;
+}>;
+
+const main = async (props: Props, retry = 3): Response => {
+  const { query } = props;
+  try {
+    const searchResults = await search(query, {
+      safeSearch: SafeSearchType.STRICT,
+      time: 'y'
+    });
+
+    const result = searchResults.results
+      .map((item) => ({
+        title: item.title,
+        link: item.url,
+        snippet: item.description
+      }))
+      .slice(0, 10);
+
+    return {
+      result: JSON.stringify(result)
+    };
+  } catch (error) {
+    if (retry <= 0) {
+      return {
+        result: 'Failed to fetch data'
+      };
+    }
+
+    addLog.warn('DuckDuckGo error', { error });
+
+    await delay(Math.random() * 2000);
+    return main(props, retry - 1);
+  }
+};
+
+export default main;
--- a/packages/plugins/src/duckduckgo/search/template.json
+++ b/packages/plugins/src/duckduckgo/search/template.json
@@ -0,0 +1,260 @@
+{
+  "author": "",
+  "version": "486",
+  "name": "DuckDuckGo 网络搜索",
+  "avatar": "core/workflow/template/duckduckgo",
+  "intro": "使用 DuckDuckGo 进行网络搜索",
+  "showStatus": true,
+  "weight": 10,
+
+  "isTool": true,
+  "templateType": "search",
+
+  "workflow": {
+    "nodes": [
+      {
+        "nodeId": "pluginInput",
+        "name": "自定义插件输入",
+        "intro": "可以配置插件需要哪些输入，利用这些输入来运行插件",
+        "avatar": "/imgs/workflow/input.png",
+        "flowNodeType": "pluginInput",
+        "showStatus": false,
+        "position": {
+          "x": 393.68844551739926,
+          "y": -58.80666875994541
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "query",
+            "label": "query",
+            "description": "检索词",
+            "required": true,
+            "toolDescription": "检索词"
+          }
+        ],
+        "outputs": [
+          {
+            "id": "query",
+            "valueType": "string",
+            "key": "query",
+            "label": "query",
+            "type": "hidden"
+          }
+        ]
+      },
+      {
+        "nodeId": "pluginOutput",
+        "name": "自定义插件输出",
+        "intro": "自定义配置外部输出，使用插件时，仅暴露自定义配置的输出",
+        "avatar": "/imgs/workflow/output.png",
+        "flowNodeType": "pluginOutput",
+        "showStatus": false,
+        "position": {
+          "x": 1795.6509902691012,
+          "y": -47.04550785550961
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "result",
+            "label": "result",
+            "description": " 检索结果",
+            "value": ["hjnVuJAOwyXV", "lEyy5QqyIBrK"]
+          }
+        ],
+        "outputs": []
+      },
+      {
+        "nodeId": "hjnVuJAOwyXV",
+        "name": "HTTP 请求",
+        "intro": "可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）",
+        "avatar": "/imgs/workflow/http.png",
+        "flowNodeType": "httpRequest468",
+        "showStatus": true,
+        "position": {
+          "x": 1054.6774638324207,
+          "y": -403.06127656499825
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "key": "system_addInputParam",
+            "renderTypeList": ["addInputParam"],
+            "valueType": "dynamic",
+            "label": "",
+            "required": false,
+            "description": "core.module.input.description.HTTP Dynamic Input",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            }
+          },
+          {
+            "key": "system_httpMethod",
+            "renderTypeList": ["custom"],
+            "valueType": "string",
+            "label": "",
+            "value": "POST",
+            "required": true
+          },
+          {
+            "key": "system_httpReqUrl",
+            "renderTypeList": ["hidden"],
+            "valueType": "string",
+            "label": "",
+            "description": "core.module.input.description.Http Request Url",
+            "placeholder": "https://api.ai.com/getInventory",
+            "required": false,
+            "value": "duckduckgo/search"
+          },
+          {
+            "key": "system_httpHeader",
+            "renderTypeList": ["custom"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "description": "core.module.input.description.Http Request Header",
+            "placeholder": "core.module.input.description.Http Request Header",
+            "required": false
+          },
+          {
+            "key": "system_httpParams",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "required": false
+          },
+          {
+            "key": "system_httpJsonBody",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": "{\n  \"query\": \"{{query}}\"\n}",
+            "label": "",
+            "required": false
+          },
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "query",
+            "label": "query",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            },
+            "required": true,
+            "value": ["pluginInput", "query"]
+          }
+        ],
+        "outputs": [
+          {
+            "id": "system_addOutputParam",
+            "key": "system_addOutputParam",
+            "type": "dynamic",
+            "valueType": "dynamic",
+            "label": "",
+            "customFieldConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": false
+            }
+          },
+          {
+            "id": "error",
+            "key": "error",
+            "label": "请求错误",
+            "description": "HTTP请求错误信息，成功时返回空",
+            "valueType": "object",
+            "type": "static"
+          },
+          {
+            "id": "httpRawResponse",
+            "key": "httpRawResponse",
+            "label": "原始响应",
+            "required": true,
+            "description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
+            "valueType": "any",
+            "type": "static"
+          },
+          {
+            "id": "lEyy5QqyIBrK",
+            "valueType": "string",
+            "type": "dynamic",
+            "key": "result",
+            "label": "result"
+          }
+        ]
+      }
+    ],
+    "edges": [
+      {
+        "source": "pluginInput",
+        "target": "hjnVuJAOwyXV",
+        "sourceHandle": "pluginInput-source-right",
+        "targetHandle": "hjnVuJAOwyXV-target-left"
+      },
+      {
+        "source": "hjnVuJAOwyXV",
+        "target": "pluginOutput",
+        "sourceHandle": "hjnVuJAOwyXV-source-right",
+        "targetHandle": "pluginOutput-target-left"
+      }
+    ]
+  }
+}
--- a/packages/plugins/src/duckduckgo/searchImg/index.ts
+++ b/packages/plugins/src/duckduckgo/searchImg/index.ts
@@ -0,0 +1,46 @@
+import { searchImages, SafeSearchType } from 'duck-duck-scrape';
+import { delay } from '@fastgpt/global/common/system/utils';
+import { addLog } from '@fastgpt/service/common/system/log';
+
+type Props = {
+  query: string;
+};
+
+// Response type same as HTTP outputs
+type Response = Promise<{
+  result: string;
+}>;
+
+const main = async (props: Props, retry = 3): Response => {
+  const { query } = props;
+
+  try {
+    const searchResults = await searchImages(query, {
+      safeSearch: SafeSearchType.STRICT
+    });
+
+    const result = searchResults.results
+      .map((item) => ({
+        title: item.title,
+        image: item.image
+      }))
+      .slice(0, 10);
+
+    return {
+      result: JSON.stringify(result)
+    };
+  } catch (error) {
+    if (retry <= 0) {
+      return {
+        result: 'Failed to fetch data'
+      };
+    }
+
+    addLog.warn('DuckDuckGo error', { error });
+
+    await delay(Math.random() * 2000);
+    return main(props, retry - 1);
+  }
+};
+
+export default main;
--- a/packages/plugins/src/duckduckgo/searchImg/template.json
+++ b/packages/plugins/src/duckduckgo/searchImg/template.json
@@ -0,0 +1,260 @@
+{
+  "author": "",
+  "version": "486",
+  "name": "DuckDuckGo 图片搜索",
+  "avatar": "core/workflow/template/duckduckgo",
+  "intro": "使用 DuckDuckGo 进行图片搜索",
+  "showStatus": true,
+  "weight": 10,
+
+  "isTool": true,
+  "templateType": "search",
+
+  "workflow": {
+    "nodes": [
+      {
+        "nodeId": "pluginInput",
+        "name": "自定义插件输入",
+        "intro": "可以配置插件需要哪些输入，利用这些输入来运行插件",
+        "avatar": "/imgs/workflow/input.png",
+        "flowNodeType": "pluginInput",
+        "showStatus": false,
+        "position": {
+          "x": 393.68844551739926,
+          "y": -58.80666875994541
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "query",
+            "label": "query",
+            "description": "检索词",
+            "required": true,
+            "toolDescription": "检索词"
+          }
+        ],
+        "outputs": [
+          {
+            "id": "query",
+            "valueType": "string",
+            "key": "query",
+            "label": "query",
+            "type": "hidden"
+          }
+        ]
+      },
+      {
+        "nodeId": "pluginOutput",
+        "name": "自定义插件输出",
+        "intro": "自定义配置外部输出，使用插件时，仅暴露自定义配置的输出",
+        "avatar": "/imgs/workflow/output.png",
+        "flowNodeType": "pluginOutput",
+        "showStatus": false,
+        "position": {
+          "x": 1795.6509902691012,
+          "y": -47.04550785550961
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "result",
+            "label": "result",
+            "description": " 检索结果",
+            "value": ["hjnVuJAOwyXV", "lEyy5QqyIBrK"]
+          }
+        ],
+        "outputs": []
+      },
+      {
+        "nodeId": "hjnVuJAOwyXV",
+        "name": "HTTP 请求",
+        "intro": "可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）",
+        "avatar": "/imgs/workflow/http.png",
+        "flowNodeType": "httpRequest468",
+        "showStatus": true,
+        "position": {
+          "x": 1054.6774638324207,
+          "y": -403.06127656499825
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "key": "system_addInputParam",
+            "renderTypeList": ["addInputParam"],
+            "valueType": "dynamic",
+            "label": "",
+            "required": false,
+            "description": "core.module.input.description.HTTP Dynamic Input",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            }
+          },
+          {
+            "key": "system_httpMethod",
+            "renderTypeList": ["custom"],
+            "valueType": "string",
+            "label": "",
+            "value": "POST",
+            "required": true
+          },
+          {
+            "key": "system_httpReqUrl",
+            "renderTypeList": ["hidden"],
+            "valueType": "string",
+            "label": "",
+            "description": "core.module.input.description.Http Request Url",
+            "placeholder": "https://api.ai.com/getInventory",
+            "required": false,
+            "value": "duckduckgo/searchImg"
+          },
+          {
+            "key": "system_httpHeader",
+            "renderTypeList": ["custom"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "description": "core.module.input.description.Http Request Header",
+            "placeholder": "core.module.input.description.Http Request Header",
+            "required": false
+          },
+          {
+            "key": "system_httpParams",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "required": false
+          },
+          {
+            "key": "system_httpJsonBody",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": "{\n  \"query\": \"{{query}}\"\n}",
+            "label": "",
+            "required": false
+          },
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "query",
+            "label": "query",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            },
+            "required": true,
+            "value": ["pluginInput", "query"]
+          }
+        ],
+        "outputs": [
+          {
+            "id": "system_addOutputParam",
+            "key": "system_addOutputParam",
+            "type": "dynamic",
+            "valueType": "dynamic",
+            "label": "",
+            "customFieldConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": false
+            }
+          },
+          {
+            "id": "error",
+            "key": "error",
+            "label": "请求错误",
+            "description": "HTTP请求错误信息，成功时返回空",
+            "valueType": "object",
+            "type": "static"
+          },
+          {
+            "id": "httpRawResponse",
+            "key": "httpRawResponse",
+            "label": "原始响应",
+            "required": true,
+            "description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
+            "valueType": "any",
+            "type": "static"
+          },
+          {
+            "id": "lEyy5QqyIBrK",
+            "valueType": "string",
+            "type": "dynamic",
+            "key": "result",
+            "label": "result"
+          }
+        ]
+      }
+    ],
+    "edges": [
+      {
+        "source": "pluginInput",
+        "target": "hjnVuJAOwyXV",
+        "sourceHandle": "pluginInput-source-right",
+        "targetHandle": "hjnVuJAOwyXV-target-left"
+      },
+      {
+        "source": "hjnVuJAOwyXV",
+        "target": "pluginOutput",
+        "sourceHandle": "hjnVuJAOwyXV-source-right",
+        "targetHandle": "pluginOutput-target-left"
+      }
+    ]
+  }
+}
--- a/packages/plugins/src/duckduckgo/searchNews/index.ts
+++ b/packages/plugins/src/duckduckgo/searchNews/index.ts
@@ -0,0 +1,47 @@
+import { searchNews, SafeSearchType } from 'duck-duck-scrape';
+import { delay } from '@fastgpt/global/common/system/utils';
+import { addLog } from '@fastgpt/service/common/system/log';
+
+type Props = {
+  query: string;
+};
+
+// Response type same as HTTP outputs
+type Response = Promise<{
+  result: string;
+}>;
+
+const main = async (props: Props, retry = 3): Response => {
+  const { query } = props;
+
+  try {
+    const searchResults = await searchNews(query, {
+      safeSearch: SafeSearchType.STRICT
+    });
+
+    const result = searchResults.results
+      .map((item) => ({
+        title: item.title,
+        excerpt: item.excerpt,
+        url: item.url
+      }))
+      .slice(0, 10);
+
+    return {
+      result: JSON.stringify(result)
+    };
+  } catch (error) {
+    if (retry <= 0) {
+      return {
+        result: 'Failed to fetch data'
+      };
+    }
+
+    addLog.warn('DuckDuckGo error', { error });
+
+    await delay(Math.random() * 2000);
+    return main(props, retry - 1);
+  }
+};
+
+export default main;
--- a/packages/plugins/src/duckduckgo/searchNews/template.json
+++ b/packages/plugins/src/duckduckgo/searchNews/template.json
@@ -0,0 +1,260 @@
+{
+  "author": "",
+  "version": "486",
+  "name": "DuckDuckGo 新闻检索",
+  "avatar": "core/workflow/template/duckduckgo",
+  "intro": "使用 DuckDuckGo 进行新闻检索",
+  "showStatus": true,
+  "weight": 10,
+
+  "isTool": true,
+  "templateType": "search",
+
+  "workflow": {
+    "nodes": [
+      {
+        "nodeId": "pluginInput",
+        "name": "自定义插件输入",
+        "intro": "可以配置插件需要哪些输入，利用这些输入来运行插件",
+        "avatar": "/imgs/workflow/input.png",
+        "flowNodeType": "pluginInput",
+        "showStatus": false,
+        "position": {
+          "x": 393.68844551739926,
+          "y": -58.80666875994541
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "query",
+            "label": "query",
+            "description": "检索词",
+            "required": true,
+            "toolDescription": "检索词"
+          }
+        ],
+        "outputs": [
+          {
+            "id": "query",
+            "valueType": "string",
+            "key": "query",
+            "label": "query",
+            "type": "hidden"
+          }
+        ]
+      },
+      {
+        "nodeId": "pluginOutput",
+        "name": "自定义插件输出",
+        "intro": "自定义配置外部输出，使用插件时，仅暴露自定义配置的输出",
+        "avatar": "/imgs/workflow/output.png",
+        "flowNodeType": "pluginOutput",
+        "showStatus": false,
+        "position": {
+          "x": 1795.6509902691012,
+          "y": -47.04550785550961
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "result",
+            "label": "result",
+            "description": " 检索结果",
+            "value": ["hjnVuJAOwyXV", "lEyy5QqyIBrK"]
+          }
+        ],
+        "outputs": []
+      },
+      {
+        "nodeId": "hjnVuJAOwyXV",
+        "name": "HTTP 请求",
+        "intro": "可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）",
+        "avatar": "/imgs/workflow/http.png",
+        "flowNodeType": "httpRequest468",
+        "showStatus": true,
+        "position": {
+          "x": 1054.6774638324207,
+          "y": -403.06127656499825
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "key": "system_addInputParam",
+            "renderTypeList": ["addInputParam"],
+            "valueType": "dynamic",
+            "label": "",
+            "required": false,
+            "description": "core.module.input.description.HTTP Dynamic Input",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            }
+          },
+          {
+            "key": "system_httpMethod",
+            "renderTypeList": ["custom"],
+            "valueType": "string",
+            "label": "",
+            "value": "POST",
+            "required": true
+          },
+          {
+            "key": "system_httpReqUrl",
+            "renderTypeList": ["hidden"],
+            "valueType": "string",
+            "label": "",
+            "description": "core.module.input.description.Http Request Url",
+            "placeholder": "https://api.ai.com/getInventory",
+            "required": false,
+            "value": "duckduckgo/searchNews"
+          },
+          {
+            "key": "system_httpHeader",
+            "renderTypeList": ["custom"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "description": "core.module.input.description.Http Request Header",
+            "placeholder": "core.module.input.description.Http Request Header",
+            "required": false
+          },
+          {
+            "key": "system_httpParams",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "required": false
+          },
+          {
+            "key": "system_httpJsonBody",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": "{\n  \"query\": \"{{query}}\"\n}",
+            "label": "",
+            "required": false
+          },
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "query",
+            "label": "query",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            },
+            "required": true,
+            "value": ["pluginInput", "query"]
+          }
+        ],
+        "outputs": [
+          {
+            "id": "system_addOutputParam",
+            "key": "system_addOutputParam",
+            "type": "dynamic",
+            "valueType": "dynamic",
+            "label": "",
+            "customFieldConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": false
+            }
+          },
+          {
+            "id": "error",
+            "key": "error",
+            "label": "请求错误",
+            "description": "HTTP请求错误信息，成功时返回空",
+            "valueType": "object",
+            "type": "static"
+          },
+          {
+            "id": "httpRawResponse",
+            "key": "httpRawResponse",
+            "label": "原始响应",
+            "required": true,
+            "description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
+            "valueType": "any",
+            "type": "static"
+          },
+          {
+            "id": "lEyy5QqyIBrK",
+            "valueType": "string",
+            "type": "dynamic",
+            "key": "result",
+            "label": "result"
+          }
+        ]
+      }
+    ],
+    "edges": [
+      {
+        "source": "pluginInput",
+        "target": "hjnVuJAOwyXV",
+        "sourceHandle": "pluginInput-source-right",
+        "targetHandle": "hjnVuJAOwyXV-target-left"
+      },
+      {
+        "source": "hjnVuJAOwyXV",
+        "target": "pluginOutput",
+        "sourceHandle": "hjnVuJAOwyXV-source-right",
+        "targetHandle": "pluginOutput-target-left"
+      }
+    ]
+  }
+}
--- a/packages/plugins/src/duckduckgo/searchVideo/index.ts
+++ b/packages/plugins/src/duckduckgo/searchVideo/index.ts
@@ -0,0 +1,47 @@
+import { searchVideos, SafeSearchType } from 'duck-duck-scrape';
+import { delay } from '@fastgpt/global/common/system/utils';
+import { addLog } from '@fastgpt/service/common/system/log';
+
+type Props = {
+  query: string;
+};
+
+// Response type same as HTTP outputs
+type Response = Promise<{
+  result: string;
+}>;
+
+const main = async (props: Props, retry = 3): Response => {
+  const { query } = props;
+
+  try {
+    const searchResults = await searchVideos(query, {
+      safeSearch: SafeSearchType.STRICT
+    });
+
+    const result = searchResults.results
+      .map((item) => ({
+        title: item.title,
+        description: item.description,
+        url: item.url
+      }))
+      .slice(0, 10);
+
+    return {
+      result: JSON.stringify(result)
+    };
+  } catch (error) {
+    if (retry <= 0) {
+      return {
+        result: 'Failed to fetch data'
+      };
+    }
+
+    addLog.warn('DuckDuckGo error', { error });
+
+    await delay(Math.random() * 2000);
+    return main(props, retry - 1);
+  }
+};
+
+export default main;
--- a/packages/plugins/src/duckduckgo/searchVideo/template.json
+++ b/packages/plugins/src/duckduckgo/searchVideo/template.json
@@ -0,0 +1,260 @@
+{
+  "author": "",
+  "version": "486",
+  "name": "DuckDuckGo 视频搜索",
+  "avatar": "core/workflow/template/duckduckgo",
+  "intro": "使用 DuckDuckGo 进行视频搜索",
+  "showStatus": true,
+  "weight": 10,
+
+  "isTool": true,
+  "templateType": "search",
+
+  "workflow": {
+    "nodes": [
+      {
+        "nodeId": "pluginInput",
+        "name": "自定义插件输入",
+        "intro": "可以配置插件需要哪些输入，利用这些输入来运行插件",
+        "avatar": "/imgs/workflow/input.png",
+        "flowNodeType": "pluginInput",
+        "showStatus": false,
+        "position": {
+          "x": 393.68844551739926,
+          "y": -58.80666875994541
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "query",
+            "label": "query",
+            "description": "检索词",
+            "required": true,
+            "toolDescription": "检索词"
+          }
+        ],
+        "outputs": [
+          {
+            "id": "query",
+            "valueType": "string",
+            "key": "query",
+            "label": "query",
+            "type": "hidden"
+          }
+        ]
+      },
+      {
+        "nodeId": "pluginOutput",
+        "name": "自定义插件输出",
+        "intro": "自定义配置外部输出，使用插件时，仅暴露自定义配置的输出",
+        "avatar": "/imgs/workflow/output.png",
+        "flowNodeType": "pluginOutput",
+        "showStatus": false,
+        "position": {
+          "x": 1795.6509902691012,
+          "y": -47.04550785550961
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "result",
+            "label": "result",
+            "description": " 检索结果",
+            "value": ["hjnVuJAOwyXV", "lEyy5QqyIBrK"]
+          }
+        ],
+        "outputs": []
+      },
+      {
+        "nodeId": "hjnVuJAOwyXV",
+        "name": "HTTP 请求",
+        "intro": "可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）",
+        "avatar": "/imgs/workflow/http.png",
+        "flowNodeType": "httpRequest468",
+        "showStatus": true,
+        "position": {
+          "x": 1054.6774638324207,
+          "y": -403.06127656499825
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "key": "system_addInputParam",
+            "renderTypeList": ["addInputParam"],
+            "valueType": "dynamic",
+            "label": "",
+            "required": false,
+            "description": "core.module.input.description.HTTP Dynamic Input",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            }
+          },
+          {
+            "key": "system_httpMethod",
+            "renderTypeList": ["custom"],
+            "valueType": "string",
+            "label": "",
+            "value": "POST",
+            "required": true
+          },
+          {
+            "key": "system_httpReqUrl",
+            "renderTypeList": ["hidden"],
+            "valueType": "string",
+            "label": "",
+            "description": "core.module.input.description.Http Request Url",
+            "placeholder": "https://api.ai.com/getInventory",
+            "required": false,
+            "value": "duckduckgo/searchVideo"
+          },
+          {
+            "key": "system_httpHeader",
+            "renderTypeList": ["custom"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "description": "core.module.input.description.Http Request Header",
+            "placeholder": "core.module.input.description.Http Request Header",
+            "required": false
+          },
+          {
+            "key": "system_httpParams",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "required": false
+          },
+          {
+            "key": "system_httpJsonBody",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": "{\n  \"query\": \"{{query}}\"\n}",
+            "label": "",
+            "required": false
+          },
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "query",
+            "label": "query",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            },
+            "required": true,
+            "value": ["pluginInput", "query"]
+          }
+        ],
+        "outputs": [
+          {
+            "id": "system_addOutputParam",
+            "key": "system_addOutputParam",
+            "type": "dynamic",
+            "valueType": "dynamic",
+            "label": "",
+            "customFieldConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": false
+            }
+          },
+          {
+            "id": "error",
+            "key": "error",
+            "label": "请求错误",
+            "description": "HTTP请求错误信息，成功时返回空",
+            "valueType": "object",
+            "type": "static"
+          },
+          {
+            "id": "httpRawResponse",
+            "key": "httpRawResponse",
+            "label": "原始响应",
+            "required": true,
+            "description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
+            "valueType": "any",
+            "type": "static"
+          },
+          {
+            "id": "lEyy5QqyIBrK",
+            "valueType": "string",
+            "type": "dynamic",
+            "key": "result",
+            "label": "result"
+          }
+        ]
+      }
+    ],
+    "edges": [
+      {
+        "source": "pluginInput",
+        "target": "hjnVuJAOwyXV",
+        "sourceHandle": "pluginInput-source-right",
+        "targetHandle": "hjnVuJAOwyXV-target-left"
+      },
+      {
+        "source": "hjnVuJAOwyXV",
+        "target": "pluginOutput",
+        "sourceHandle": "hjnVuJAOwyXV-source-right",
+        "targetHandle": "pluginOutput-target-left"
+      }
+    ]
+  }
+}
--- a/packages/plugins/src/duckduckgo/template.json
+++ b/packages/plugins/src/duckduckgo/template.json
@@ -0,0 +1,17 @@
+{
+  "author": "",
+  "version": "486",
+  "name": "DuckDuckGo服务",
+  "avatar": "core/workflow/template/duckduckgo",
+  "intro": "DuckDuckGo 服务，包含网络搜索、图片搜索、新闻搜索等。",
+  "showStatus": false,
+  "weight": 10,
+
+  "isTool": true,
+  "templateType": "tools",
+
+  "workflow": {
+    "nodes": [],
+    "edges": []
+  }
+}
--- a/packages/plugins/src/fetchUrl/index.ts
+++ b/packages/plugins/src/fetchUrl/index.ts
@@ -1,5 +1,4 @@
-import { SystemPluginResponseType } from '../../type';
-import { urlsFetch } from '../../../service/common/string/cheerio';
+import { urlsFetch } from '@fastgpt/service/common/string/cheerio';

 type Props = {
  url: string;
--- a/packages/plugins/src/fetchUrl/template.json
+++ b/packages/plugins/src/fetchUrl/template.json
@@ -1,8 +1,8 @@
 {
-  "author": "FastGPT",
+  "author": "",
  "version": "486",
  "name": "网页内容抓取",
-  "avatar": "/imgs/workflow/fetchUrl.svg",
+  "avatar": "core/workflow/template/fetchUrl",
  "intro": "可获取一个网页链接内容，并以 Markdown 格式输出，仅支持获取静态网站。",
  "showStatus": true,
  "weight": 10,
--- a/packages/plugins/src/getTime/template.json
+++ b/packages/plugins/src/getTime/template.json
@@ -1,9 +1,9 @@
 {
-  "author": "FastGPT Team",
+  "author": "",
  "version": "481",
  "templateType": "tools",
  "name": "获取当前时间",
-  "avatar": "/imgs/workflow/getCurrentTime.svg",
+  "avatar": "core/workflow/template/getTime",
  "intro": "获取用户当前时区的时间。",
  "showStatus": false,
  "isTool": true,
--- a/packages/plugins/src/mathExprVal/template.json
+++ b/packages/plugins/src/mathExprVal/template.json
@@ -1,8 +1,8 @@
 {
-  "author": "FastGPT",
+  "author": "",
  "version": "486",
  "name": "数学公式执行",
-  "avatar": "/imgs/workflow/mathExprEval.svg",
+  "avatar": "core/workflow/template/mathCall",
  "intro": "用于执行数学表达式的工具，通过 js 的 expr-eval 库运行表达式并返回结果。",
  "showStatus": false,
  "weight": 10,
--- a/packages/plugins/type.d.ts
+++ b/packages/plugins/type.d.ts
@@ -1,7 +1,9 @@
+import { PluginTemplateType } from '@fastgpt/global/core/plugin/type.d';
 import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
+
 export type SystemPluginResponseType = Promise<Record<string, any>>;

 declare global {
-  var communitySystemPlugins: SystemPluginTemplateItemType[];
-  var communitySystemPluginCb: Record<string, (e: any) => SystemPluginResponseType>;
+  var systemPlugins: SystemPluginTemplateItemType[];
+  var systemPluginCb: Record<string, (e: any) => SystemPluginResponseType>;
 }
--- a/packages/service/common/api/serverRequest.ts
+++ b/packages/service/common/api/serverRequest.ts
@@ -63,6 +63,7 @@ const instance = axios.create({
    'Cache-Control': 'no-cache'
  }
 });
+export const serverRequestBaseUrl = `http://${SERVICE_LOCAL_HOST}`;

 /* 请求拦截 */
 instance.interceptors.request.use(requestStart, (err) => Promise.reject(err));
@@ -79,7 +80,7 @@ export function request(url: string, data: any, config: ConfigType, method: Meth

  return instance
    .request({
-      baseURL: `http://${SERVICE_LOCAL_HOST}`,
+      baseURL: serverRequestBaseUrl,
      url,
      method,
      data: ['POST', 'PUT'].includes(method) ? data : null,
--- a/packages/service/common/file/image/controller.ts
+++ b/packages/service/common/file/image/controller.ts
@@ -8,6 +8,7 @@ export function getMongoImgUrl(id: string) {
 }

 export const maxImgSize = 1024 * 1024 * 12;
+const base64MimeRegex = /data:image\/([^\)]+);base64/;
 export async function uploadMongoImg({
  type,
  base64Img,
@@ -22,7 +23,8 @@ export async function uploadMongoImg({
    return Promise.reject('Image too large');
  }

-  const base64Data = base64Img.split(',')[1];
+  const [base64Mime, base64Data] = base64Img.split(',')
+  const mime = `image/${base64Mime.match(base64MimeRegex)?.[1] ?? 'jpeg'}`
  const binary = Buffer.from(base64Data, 'base64');

  const { _id } = await MongoImage.create({
@@ -30,7 +32,7 @@ export async function uploadMongoImg({
    teamId,
    binary,
    expiredTime,
-    metadata,
+    metadata: Object.assign({ mime }, metadata),
    shareId
  });

@@ -42,7 +44,7 @@ export async function readMongoImg({ id }: { id: string }) {
  if (!data) {
    return Promise.reject('Image not found');
  }
-  return data?.binary;
+  return data;
 }

 export async function delImgByRelatedId({
--- a/packages/service/common/mongo/index.ts
+++ b/packages/service/common/mongo/index.ts
@@ -1,6 +1,9 @@
 import { addLog } from '../../common/system/log';
 import mongoose, { Model } from 'mongoose';

+export default mongoose;
+export * from 'mongoose';
+
 export const connectionMongo = (() => {
  if (!global.mongodb) {
    global.mongodb = mongoose;
@@ -9,9 +12,6 @@ export const connectionMongo = (() => {
  return global.mongodb;
 })();

-export default mongoose;
-export * from 'mongoose';
-
 const addCommonMiddleware = (schema: mongoose.Schema) => {
  const operations = [
    /^find/,
@@ -47,7 +47,7 @@ const addCommonMiddleware = (schema: mongoose.Schema) => {

        if (duration > 1000) {
          addLog.warn(`Slow operation ${duration}ms`, warnLogData);
-        } else if (duration > 300) {
+        } else if (duration > 3000) {
          addLog.error(`Slow operation ${duration}ms`, warnLogData);
        }
      }
@@ -64,10 +64,13 @@ export const getMongoModel = <T>(name: string, schema: mongoose.Schema) => {
  addCommonMiddleware(schema);

  const model = connectionMongo.model<T>(name, schema);
-  try {
-    model.syncIndexes();
-  } catch (error) {
-    addLog.error('Create index error', error);
+
+  if (process.env.SYNC_INDEX !== '0') {
+    try {
+      model.syncIndexes({ background: true });
+    } catch (error) {
+      addLog.error('Create index error', error);
+    }
  }

  return model;
--- a/packages/service/common/mongo/init.ts
+++ b/packages/service/common/mongo/init.ts
@@ -7,19 +7,12 @@ const maxConnecting = Math.max(30, Number(process.env.DB_MAX_LINK || 20));
 /**
 * connect MongoDB and init data
 */
-export async function connectMongo({
-  beforeHook,
-  afterHook
-}: {
-  beforeHook?: () => any;
-  afterHook?: () => Promise<any>;
-}): Promise<Mongoose> {
+export async function connectMongo(): Promise<Mongoose> {
+  /* Connecting, connected will return */
  if (connectionMongo.connection.readyState !== 0) {
    return connectionMongo;
  }

-  beforeHook && beforeHook();
-
  console.log('mongo start connect');
  try {
    connectionMongo.set('strictQuery', true);
@@ -55,11 +48,5 @@ export async function connectMongo({
    addLog.error('mongo connect error', error);
  }

-  try {
-    afterHook && (await afterHook());
-  } catch (error) {
-    addLog.error('mongo connect after hook error', error);
-  }
-
  return connectionMongo;
 }
--- a/packages/service/common/system/log.ts
+++ b/packages/service/common/system/log.ts
@@ -1,8 +1,8 @@
 import dayjs from 'dayjs';
 import chalk from 'chalk';
 import { LogLevelEnum } from './log/constant';
-// import { MongoLog } from './log/schema';
-import connectionMongo from '../mongo/index';
+import { connectionMongo } from '../mongo/index';
+import { getMongoLog } from './log/schema';

 const logMap = {
  [LogLevelEnum.debug]: {
@@ -52,14 +52,14 @@ export const addLog = {
    level === LogLevelEnum.error && console.error(obj);

    // store
-    // if (level >= STORE_LOG_LEVEL && connectionMongo.connection.readyState === 1) {
-    //   // store log
-    //   MongoLog.create({
-    //     text: msg,
-    //     level,
-    //     metadata: obj
-    //   });
-    // }
+    if (level >= STORE_LOG_LEVEL && connectionMongo.connection.readyState === 1) {
+      // store log
+      getMongoLog().create({
+        text: msg,
+        level,
+        metadata: obj
+      });
+    }
  },
  debug(msg: string, obj?: Record<string, any>) {
    this.log(LogLevelEnum.debug, msg, obj);
--- a/packages/service/common/system/log/schema.ts
+++ b/packages/service/common/system/log/schema.ts
@@ -4,24 +4,26 @@ import { LogLevelEnum } from './constant';

 export const LogCollectionName = 'system_logs';

-const SystemLogSchema = new Schema({
-  text: {
-    type: String,
-    required: true
-  },
-  level: {
-    type: String,
-    required: true,
-    enum: Object.values(LogLevelEnum)
-  },
-  time: {
-    type: Date,
-    default: () => new Date()
-  },
-  metadata: Object
-});
+export const getMongoLog = () => {
+  const SystemLogSchema = new Schema({
+    text: {
+      type: String,
+      required: true
+    },
+    level: {
+      type: String,
+      required: true,
+      enum: Object.values(LogLevelEnum)
+    },
+    time: {
+      type: Date,
+      default: () => new Date()
+    },
+    metadata: Object
+  });

-SystemLogSchema.index({ time: 1 }, { expires: '15d' });
-SystemLogSchema.index({ level: 1 });
+  SystemLogSchema.index({ time: 1 }, { expires: '15d' });
+  SystemLogSchema.index({ level: 1 });

-export const MongoLog = getMongoModel<SystemLogType>(LogCollectionName, SystemLogSchema);
+  return getMongoModel<SystemLogType>(LogCollectionName, SystemLogSchema);
+};
--- a/packages/service/core/app/plugin/controller.ts
+++ b/packages/service/core/app/plugin/controller.ts
@@ -9,7 +9,7 @@ import { getNanoid } from '@fastgpt/global/common/string/tools';
 import { cloneDeep } from 'lodash';
 import { MongoApp } from '../schema';
 import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
-import { getCommunityPlugins } from '@fastgpt/plugins/register';
+import { getSystemPluginTemplates } from '../../../../plugins/register';

 /* 
  plugin id rule:
@@ -28,7 +28,7 @@ export async function splitCombinePluginId(id: string) {
    };
  }

-  const [source, pluginId] = id.split('-') as [`${PluginSourceEnum}`, string];
+  const [source, pluginId] = id.split('-') as [PluginSourceEnum, string];
  if (!source || !pluginId) return Promise.reject('pluginId not found');

  return { source, pluginId: id };
@@ -39,14 +39,6 @@ const getPluginTemplateById = async (
 ): Promise<SystemPluginTemplateItemType & { teamId?: string }> => {
  const { source, pluginId } = await splitCombinePluginId(id);

-  if (source === PluginSourceEnum.community) {
-    const item = [...global.communityPlugins, ...getCommunityPlugins()].find(
-      (plugin) => plugin.id === pluginId
-    );
-    if (!item) return Promise.reject('plugin not found');
-
-    return cloneDeep(item);
-  }
  if (source === PluginSourceEnum.personal) {
    const item = await MongoApp.findById(id).lean();
    if (!item) return Promise.reject('plugin not found');
@@ -68,8 +60,14 @@ const getPluginTemplateById = async (
      originCost: 0,
      currentCost: 0
    };
+  } else {
+    const item = [...global.communityPlugins, ...(await getSystemPluginTemplates())].find(
+      (plugin) => plugin.id === pluginId
+    );
+    if (!item) return Promise.reject('plugin not found');
+
+    return cloneDeep(item);
  }
-  return Promise.reject('plugin not found');
 };

 /* format plugin modules to plugin preview module */
@@ -98,10 +96,12 @@ export async function getPluginRuntimeById(id: string): Promise<PluginRuntimeTyp
  const plugin = await getPluginTemplateById(id);

  return {
+    id: plugin.id,
    teamId: plugin.teamId,
    name: plugin.name,
    avatar: plugin.avatar,
    showStatus: plugin.showStatus,
+    currentCost: plugin.currentCost,
    nodes: plugin.workflow.nodes,
    edges: plugin.workflow.edges
  };
--- a/packages/service/core/app/plugin/systemPluginSchema.ts
+++ b/packages/service/core/app/plugin/systemPluginSchema.ts
@@ -0,0 +1,35 @@
+import { connectionMongo, getMongoModel } from '../../../common/mongo/index';
+const { Schema } = connectionMongo;
+import type { SystemPluginConfigSchemaType } from './type';
+
+export const collectionName = 'app_system_plugins';
+
+const SystemPluginSchema = new Schema({
+  pluginId: {
+    type: String,
+    required: true
+  },
+  isActive: {
+    type: Boolean,
+    required: true
+  },
+  inputConfig: {
+    type: Array,
+    default: []
+  },
+  originCost: {
+    type: Number,
+    default: 0
+  },
+  currentCost: {
+    type: Number,
+    default: 0
+  }
+});
+
+SystemPluginSchema.index({ pluginId: 1 });
+
+export const MongoSystemPluginSchema = getMongoModel<SystemPluginConfigSchemaType>(
+  collectionName,
+  SystemPluginSchema
+);
--- a/packages/service/core/app/plugin/type.d.ts
+++ b/packages/service/core/app/plugin/type.d.ts
@@ -0,0 +1,10 @@
+import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
+
+export type SystemPluginConfigSchemaType = {
+  pluginId: string;
+
+  originCost: number; // n points/one time
+  currentCost: number;
+  isActive: boolean;
+  inputConfig: SystemPluginTemplateItemType['inputConfig'];
+};
--- a/packages/service/core/app/plugin/utils.ts
+++ b/packages/service/core/app/plugin/utils.ts
@@ -0,0 +1,21 @@
+import { PluginRuntimeType } from '@fastgpt/global/core/workflow/runtime/type';
+import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
+import { splitCombinePluginId } from './controller';
+import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
+
+/* 
+  1. Commercial plugin: n points per times
+  2. Other plugin: sum of children points
+*/
+export const computedPluginUsage = async (
+  plugin: PluginRuntimeType,
+  childrenUsage: ChatNodeUsageType[]
+) => {
+  const { source } = await splitCombinePluginId(plugin.id);
+
+  if (source === PluginSourceEnum.commercial) {
+    return plugin.currentCost ?? 0;
+  }
+
+  return childrenUsage.reduce((sum, item) => sum + (item.totalPoints || 0), 0);
+};
--- a/packages/service/core/app/schema.ts
+++ b/packages/service/core/app/schema.ts
@@ -58,6 +58,7 @@ const AppSchema = new Schema({
    type: String,
    default: ''
  },
+
  updateTime: {
    type: Date,
    default: () => new Date()
@@ -112,7 +113,7 @@ const AppSchema = new Schema({
  ...getPermissionSchema(AppDefaultPermissionVal)
 });

-AppSchema.index({ updateTime: -1 });
+AppSchema.index({ teamId: 1, updateTime: -1 });
 AppSchema.index({ teamId: 1, type: 1 });
 AppSchema.index({ scheduledTriggerConfig: 1, intervalNextTime: -1 });

--- a/packages/service/core/chat/utils.ts
+++ b/packages/service/core/chat/utils.ts
@@ -1,4 +1,3 @@
-import { IMG_BLOCK_KEY } from '@fastgpt/global/core/chat/constants';
 import { countGptMessagesTokens } from '../../common/string/tiktoken/index';
 import type {
  ChatCompletionContentPart,
@@ -7,6 +6,8 @@ import type {
 import axios from 'axios';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import { guessBase64ImageType } from '../../common/file/utils';
+import { serverRequestBaseUrl } from '../../common/api/serverRequest';
+import { cloneDeep } from 'lodash';

 /* slice chat context by tokens */
 const filterEmptyMessages = (messages: ChatCompletionMessageParam[]) => {
@@ -120,137 +121,64 @@ export const formatGPTMessagesInRequestBefore = (messages: ChatCompletionMessage
    .filter(Boolean) as ChatCompletionMessageParam[];
 };

-/**
-    string to vision model. Follow the markdown code block rule for interception:
-
-    @rule:
-    ```img-block
-        {src:""}
-        {src:""}
-    ```
-    ```file-block
-        {name:"",src:""},
-        {name:"",src:""}
-    ```
-    @example:
-        What’s in this image?
-        ```img-block
-            {src:"https://1.png"}
-        ```
-    @return 
-        [
-            { type: 'text', text: 'What’s in this image?' },
-            {
-              type: 'image_url',
-              image_url: {
-                url: 'https://1.png'
-              }
-            }
-        ]
- */
-export async function formatStr2ChatContent(str: string) {
-  const content: ChatCompletionContentPart[] = [];
-  let lastIndex = 0;
-  const regex = new RegExp(`\`\`\`(${IMG_BLOCK_KEY})\\n([\\s\\S]*?)\`\`\``, 'g');
-
-  const imgKey: 'image_url' = 'image_url';
-
-  let match;
-
-  while ((match = regex.exec(str)) !== null) {
-    // add previous text
-    if (match.index > lastIndex) {
-      const text = str.substring(lastIndex, match.index).trim();
-      if (text) {
-        content.push({ type: 'text', text });
-      }
-    }
-
-    const blockType = match[1].trim();
-
-    if (blockType === IMG_BLOCK_KEY) {
-      const blockContentLines = match[2].trim().split('\n');
-      const jsonLines = blockContentLines.map((item) => {
-        try {
-          return JSON.parse(item) as { src: string };
-        } catch (error) {
-          return { src: '' };
-        }
-      });
-
-      for (const item of jsonLines) {
-        if (!item.src) throw new Error("image block's content error");
-      }
-
-      content.push(
-        ...jsonLines.map((item) => ({
-          type: imgKey,
-          image_url: {
-            url: item.src
-          }
-        }))
-      );
-    }
-
-    lastIndex = regex.lastIndex;
-  }
-
-  // add remaining text
-  if (lastIndex < str.length) {
-    const remainingText = str.substring(lastIndex).trim();
-    if (remainingText) {
-      content.push({ type: 'text', text: remainingText });
-    }
-  }
-
-  // Continuous text type content, if type=text, merge them
-  for (let i = 0; i < content.length - 1; i++) {
-    const currentContent = content[i];
-    const nextContent = content[i + 1];
-    if (currentContent.type === 'text' && nextContent.type === 'text') {
-      currentContent.text += nextContent.text;
-      content.splice(i + 1, 1);
-      i--;
-    }
-  }
-
-  if (content.length === 1 && content[0].type === 'text') {
-    return content[0].text;
-  }
-
-  if (!content) return null;
-  // load img to base64
-  for await (const item of content) {
-    if (item.type === imgKey && item[imgKey]?.url) {
-      const response = await axios.get(item[imgKey].url, {
-        responseType: 'arraybuffer'
-      });
-      const base64 = Buffer.from(response.data).toString('base64');
-      item[imgKey].url = `data:${response.headers['content-type']};base64,${base64}`;
-    }
-  }
-
-  return content ? content : null;
-}
-
+/* Load user chat content.
+  Img: to base 64
+*/
 export const loadChatImgToBase64 = async (content: string | ChatCompletionContentPart[]) => {
  if (typeof content === 'string') {
    return content;
  }
+
  return Promise.all(
    content.map(async (item) => {
      if (item.type === 'text') return item;
-      // load image
-      const response = await axios.get(item.image_url.url, {
-        responseType: 'arraybuffer'
-      });
-      const base64 = Buffer.from(response.data).toString('base64');
-      let imageType = response.headers['content-type'];
-      if (imageType === undefined) {
-        imageType = guessBase64ImageType(base64);
+
+      if (!item.image_url.url) return item;
+
+      /* 
+        1. From db: Get it from db
+        2. From web: Not update
+      */
+      if (item.image_url.url.startsWith('/')) {
+        const response = await axios.get(item.image_url.url, {
+          baseURL: serverRequestBaseUrl,
+          responseType: 'arraybuffer'
+        });
+        const base64 = Buffer.from(response.data).toString('base64');
+        let imageType = response.headers['content-type'];
+        if (imageType === undefined) {
+          imageType = guessBase64ImageType(base64);
+        }
+        return {
+          ...item,
+          image_url: {
+            ...item.image_url,
+            url: `data:${imageType};base64,${base64}`
+          }
+        };
      }
-      item.image_url.url = `data:${imageType};base64,${base64}`;
+
      return item;
    })
  );
 };
+export const loadRequestMessages = async (messages: ChatCompletionMessageParam[]) => {
+  if (messages.length === 0) {
+    return Promise.reject('core.chat.error.Messages empty');
+  }
+
+  const loadMessages = await Promise.all(
+    messages.map(async (item) => {
+      if (item.role === ChatCompletionRequestMessageRoleEnum.User) {
+        return {
+          ...item,
+          content: await loadChatImgToBase64(item.content)
+        };
+      } else {
+        return item;
+      }
+    })
+  );
+
+  return loadMessages;
+};
--- a/packages/service/core/dataset/schema.ts
+++ b/packages/service/core/dataset/schema.ts
@@ -67,7 +67,7 @@ const DatasetSchema = new Schema({
  agentModel: {
    type: String,
    required: true,
-    default: 'gpt-3.5-turbo'
+    default: 'gpt-4o-mini'
  },
  intro: {
    type: String,
--- a/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
@@ -1,6 +1,6 @@
 import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { getAIApi } from '../../../../ai/config';
-import { filterGPTMessageByMaxTokens } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
  ChatCompletion,
  StreamChatType,
@@ -88,6 +88,7 @@ export const runToolWithFunctionCall = async (
    }
    return item;
  });
+  const requestMessages = await loadRequestMessages(formativeMessages);

  /* Run llm */
  const ai = getAIApi({
@@ -99,7 +100,7 @@ export const runToolWithFunctionCall = async (
      model: toolModel.model,
      temperature: 0,
      stream,
-      messages: formativeMessages,
+      messages: requestMessages,
      functions,
      function_call: 'auto'
    },
--- a/packages/service/core/workflow/dispatch/agent/runTool/index.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/index.ts
@@ -12,6 +12,7 @@ import { ChatItemType } from '@fastgpt/global/core/chat/type';
 import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import {
  GPTMessages2Chats,
+  chatValue2RuntimePrompt,
  chats2GPTMessages,
  getSystemPrompt,
  runtimePrompt2ChatsValue
@@ -29,10 +30,11 @@ type Response = DispatchNodeResultType<{

 export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<Response> => {
  const {
-    node: { nodeId, name, outputs },
+    node: { nodeId, name },
    runtimeNodes,
    runtimeEdges,
    histories,
+    query,
    params: { model, systemPrompt, userChatInput, history = 6 }
  } = props;

@@ -65,7 +67,7 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
      obj: ChatRoleEnum.Human,
      value: runtimePrompt2ChatsValue({
        text: userChatInput,
-        files: []
+        files: chatValue2RuntimePrompt(query).files
      })
    }
  ];
--- a/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
@@ -1,6 +1,6 @@
 import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { getAIApi } from '../../../../ai/config';
-import { filterGPTMessageByMaxTokens } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
  ChatCompletion,
  StreamChatType,
@@ -87,6 +87,8 @@ export const runToolWithPromptCall = async (
    messages,
    maxTokens: toolModel.maxContext - 500 // filter token. not response maxToken
  });
+  const requestMessages = await loadRequestMessages(filterMessages);
+
  // console.log(JSON.stringify(filterMessages, null, 2));
  /* Run llm */
  const ai = getAIApi({
@@ -98,7 +100,7 @@ export const runToolWithPromptCall = async (
      model: toolModel.model,
      temperature: 0,
      stream,
-      messages: filterMessages
+      messages: requestMessages
    },
    {
      headers: {
--- a/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
@@ -1,6 +1,6 @@
 import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { getAIApi } from '../../../../ai/config';
-import { filterGPTMessageByMaxTokens } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
  ChatCompletion,
  ChatCompletionMessageToolCall,
@@ -99,6 +99,8 @@ export const runToolWithToolChoice = async (
    }
    return item;
  });
+  const requestMessages = await loadRequestMessages(formativeMessages);
+
  // console.log(
  //   JSON.stringify(
  //     {
@@ -106,7 +108,7 @@ export const runToolWithToolChoice = async (
  //       model: toolModel.model,
  //       temperature: 0,
  //       stream,
-  //       messages: formativeMessages,
+  //       messages: requestMessages,
  //       tools,
  //       tool_choice: 'auto'
  //     },
@@ -124,7 +126,7 @@ export const runToolWithToolChoice = async (
      model: toolModel.model,
      temperature: 0,
      stream,
-      messages: formativeMessages,
+      messages: requestMessages,
      tools,
      tool_choice: 'auto'
    },
--- a/packages/service/core/workflow/dispatch/chat/oneapi.ts
+++ b/packages/service/core/workflow/dispatch/chat/oneapi.ts
@@ -2,7 +2,7 @@ import type { NextApiResponse } from 'next';
 import {
  filterGPTMessageByMaxTokens,
  formatGPTMessagesInRequestBefore,
-  loadChatImgToBase64
+  loadRequestMessages
 } from '../../../chat/utils';
 import type { ChatItemType, UserChatItemValueItemType } from '@fastgpt/global/core/chat/type.d';
 import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
@@ -151,22 +151,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
    ...formatGPTMessagesInRequestBefore(filterMessages)
  ] as ChatCompletionMessageParam[];

-  if (concatMessages.length === 0) {
-    return Promise.reject('core.chat.error.Messages empty');
-  }
-
-  const loadMessages = await Promise.all(
-    concatMessages.map(async (item) => {
-      if (item.role === ChatCompletionRequestMessageRoleEnum.User) {
-        return {
-          ...item,
-          content: await loadChatImgToBase64(item.content)
-        };
-      } else {
-        return item;
-      }
-    })
-  );
+  const requestMessages = await loadRequestMessages(concatMessages);

  const requestBody = {
    ...modelConstantsData?.defaultConfig,
@@ -174,72 +159,88 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
    temperature,
    max_tokens,
    stream,
-    messages: loadMessages
+    messages: requestMessages
  };
-  const response = await ai.chat.completions.create(requestBody, {
-    headers: {
-      Accept: 'application/json, text/plain, */*'
-    }
-  });
+  try {
+    const response = await ai.chat.completions.create(requestBody, {
+      headers: {
+        Accept: 'application/json, text/plain, */*'
+      }
+    });

-  const { answerText } = await (async () => {
-    if (res && stream) {
-      // sse response
-      const { answer } = await streamResponse({
-        res,
-        detail,
-        stream: response,
-        requestBody
-      });
+    const { answerText } = await (async () => {
+      if (res && stream) {
+        // sse response
+        const { answer } = await streamResponse({
+          res,
+          detail,
+          stream: response
+        });

-      return {
-        answerText: answer
-      };
-    } else {
-      const unStreamResponse = response as ChatCompletion;
-      const answer = unStreamResponse.choices?.[0]?.message?.content || '';
+        if (!answer) {
+          throw new Error('LLM model response empty');
+        }

-      return {
-        answerText: answer
-      };
-    }
-  })();
+        return {
+          answerText: answer
+        };
+      } else {
+        const unStreamResponse = response as ChatCompletion;
+        const answer = unStreamResponse.choices?.[0]?.message?.content || '';

-  const completeMessages = filterMessages.concat({
-    role: ChatCompletionRequestMessageRoleEnum.Assistant,
-    content: answerText
-  });
-  const chatCompleteMessages = GPTMessages2Chats(completeMessages);
+        return {
+          answerText: answer
+        };
+      }
+    })();

-  const tokens = await countMessagesTokens(chatCompleteMessages);
-  const { totalPoints, modelName } = formatModelChars2Points({
-    model,
-    tokens,
-    modelType: ModelTypeEnum.llm
-  });
+    const completeMessages = filterMessages.concat({
+      role: ChatCompletionRequestMessageRoleEnum.Assistant,
+      content: answerText
+    });
+    const chatCompleteMessages = GPTMessages2Chats(completeMessages);

-  return {
-    answerText,
-    [DispatchNodeResponseKeyEnum.nodeResponse]: {
-      totalPoints: user.openaiAccount?.key ? 0 : totalPoints,
-      model: modelName,
+    const tokens = await countMessagesTokens(chatCompleteMessages);
+    const { totalPoints, modelName } = formatModelChars2Points({
+      model,
      tokens,
-      query: `${userChatInput}`,
-      maxToken: max_tokens,
-      historyPreview: getHistoryPreview(chatCompleteMessages),
-      contextTotalLen: completeMessages.length
-    },
-    [DispatchNodeResponseKeyEnum.nodeDispatchUsages]: [
-      {
-        moduleName: name,
+      modelType: ModelTypeEnum.llm
+    });
+
+    return {
+      answerText,
+      [DispatchNodeResponseKeyEnum.nodeResponse]: {
        totalPoints: user.openaiAccount?.key ? 0 : totalPoints,
        model: modelName,
-        tokens
-      }
-    ],
-    [DispatchNodeResponseKeyEnum.toolResponses]: answerText,
-    history: chatCompleteMessages
-  };
+        tokens,
+        query: `${userChatInput}`,
+        maxToken: max_tokens,
+        historyPreview: getHistoryPreview(chatCompleteMessages),
+        contextTotalLen: completeMessages.length
+      },
+      [DispatchNodeResponseKeyEnum.nodeDispatchUsages]: [
+        {
+          moduleName: name,
+          totalPoints: user.openaiAccount?.key ? 0 : totalPoints,
+          model: modelName,
+          tokens
+        }
+      ],
+      [DispatchNodeResponseKeyEnum.toolResponses]: answerText,
+      history: chatCompleteMessages
+    };
+  } catch (error) {
+    addLog.warn(`LLM response error`, {
+      baseUrl: user.openaiAccount?.baseUrl,
+      requestBody
+    });
+
+    if (user.openaiAccount?.baseUrl) {
+      return Promise.reject(`您的 OpenAI key 出错了: ${JSON.stringify(requestBody)}`);
+    }
+
+    return Promise.reject(error);
+  }
 };

 async function filterQuote({
@@ -349,13 +350,11 @@ async function getMaxTokens({
 async function streamResponse({
  res,
  detail,
-  stream,
-  requestBody
+  stream
 }: {
  res: NextApiResponse;
  detail: boolean;
  stream: StreamChatType;
-  requestBody: Record<string, any>;
 }) {
  const write = responseWriteController({
    res,
@@ -379,10 +378,5 @@ async function streamResponse({
    });
  }

-  if (!answer) {
-    addLog.info(`LLM model response empty`, requestBody);
-    return Promise.reject('core.chat.Chat API is error or undefined');
-  }
-
  return { answer };
 }
--- a/packages/service/core/workflow/dispatch/plugin/run.ts
+++ b/packages/service/core/workflow/dispatch/plugin/run.ts
@@ -2,7 +2,7 @@ import type { ModuleDispatchProps } from '@fastgpt/global/core/workflow/runtime/
 import { dispatchWorkFlow } from '../index';
 import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
 import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
-import { getPluginRuntimeById, splitCombinePluginId } from '../../../app/plugin/controller';
+import { getPluginRuntimeById } from '../../../app/plugin/controller';
 import {
  getDefaultEntryNodeIds,
  initWorkflowEdgeStatus,
@@ -10,9 +10,9 @@ import {
 } from '@fastgpt/global/core/workflow/runtime/utils';
 import { DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/type';
 import { updateToolInputValue } from '../agent/runTool/utils';
-import { authAppByTmbId } from '../../../../support/permission/app/auth';
+import { authPluginByTmbId } from '../../../../support/permission/app/auth';
 import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
-import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
+import { computedPluginUsage } from '../../../app/plugin/utils';

 type RunPluginProps = ModuleDispatchProps<{
  [key: string]: any;
@@ -33,14 +33,12 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
  }

  // auth plugin
-  const { source } = await splitCombinePluginId(pluginId);
-  if (source === PluginSourceEnum.personal) {
-    await authAppByTmbId({
-      appId: pluginId,
-      tmbId: workflowApp.tmbId,
-      per: ReadPermissionVal
-    });
-  }
+  await authPluginByTmbId({
+    appId: pluginId,
+    tmbId: workflowApp.tmbId,
+    per: ReadPermissionVal
+  });
+
  const plugin = await getPluginRuntimeById(pluginId);

  // concat dynamic inputs
@@ -78,12 +76,15 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
    output.moduleLogo = plugin.avatar;
  }

+  const isError = !!output?.pluginOutput?.error;
+  const usagePoints = isError ? 0 : await computedPluginUsage(plugin, flowUsages);
+
  return {
    assistantResponses,
    // responseData, // debug
    [DispatchNodeResponseKeyEnum.nodeResponse]: {
      moduleLogo: plugin.avatar,
-      totalPoints: flowResponses.reduce((sum, item) => sum + (item.totalPoints || 0), 0),
+      totalPoints: usagePoints,
      pluginOutput: output?.pluginOutput,
      pluginDetail:
        mode === 'test' && plugin.teamId === teamId
@@ -96,8 +97,7 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
    [DispatchNodeResponseKeyEnum.nodeDispatchUsages]: [
      {
        moduleName: plugin.name,
-        totalPoints: flowUsages.reduce((sum, item) => sum + (item.totalPoints || 0), 0),
-        model: plugin.name,
+        totalPoints: usagePoints,
        tokens: 0
      }
    ],
--- a/packages/service/core/workflow/dispatch/tools/http468.ts
+++ b/packages/service/core/workflow/dispatch/tools/http468.ts
@@ -16,7 +16,7 @@ import { DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/ty
 import { getErrText } from '@fastgpt/global/common/error/utils';
 import { responseWrite } from '../../../../common/response';
 import { textAdaptGptResponse } from '@fastgpt/global/core/workflow/runtime/utils';
-import { getCommunityCb } from '@fastgpt/plugins/register';
+import { getSystemPluginCb } from '../../../../../plugins/register';

 type PropsArrType = {
  key: string;
@@ -121,9 +121,9 @@ export const dispatchHttp468Request = async (props: HttpRequestProps): Promise<H

  try {
    const { formatResponse, rawResponse } = await (async () => {
-      const communityPluginCb = await getCommunityCb();
-      if (communityPluginCb[httpReqUrl]) {
-        const pluginResult = await communityPluginCb[httpReqUrl](requestBody);
+      const systemPluginCb = await getSystemPluginCb();
+      if (systemPluginCb[httpReqUrl]) {
+        const pluginResult = await systemPluginCb[httpReqUrl](requestBody);
        return {
          formatResponse: pluginResult,
          rawResponse: pluginResult
--- a/packages/service/package.json
+++ b/packages/service/package.json
@@ -3,7 +3,6 @@
  "version": "1.0.0",
  "dependencies": {
    "@fastgpt/global": "workspace:*",
-    "@fastgpt/plugins": "workspace:*",
    "@node-rs/jieba": "1.10.0",
    "@xmldom/xmldom": "^0.8.10",
    "@zilliz/milvus2-sdk-node": "2.4.2",
@@ -25,7 +24,7 @@
    "mammoth": "^1.6.0",
    "mongoose": "^7.0.2",
    "multer": "1.4.5-lts.1",
-    "next": "14.2.3",
+    "next": "14.2.5",
    "nextjs-cors": "^2.2.0",
    "node-cron": "^3.0.3",
    "node-xlsx": "^0.23.0",
--- a/packages/service/support/permission/app/auth.ts
+++ b/packages/service/support/permission/app/auth.ts
@@ -12,6 +12,27 @@ import { AuthResponseType } from '../type/auth.d';
 import { PermissionValueType } from '@fastgpt/global/support/permission/type';
 import { AppFolderTypeList } from '@fastgpt/global/core/app/constants';
 import { ParentIdType } from '@fastgpt/global/common/parentFolder/type';
+import { splitCombinePluginId } from '../../../core/app/plugin/controller';
+import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
+
+export const authPluginByTmbId = async ({
+  tmbId,
+  appId,
+  per
+}: {
+  tmbId: string;
+  appId: string;
+  per: PermissionValueType;
+}) => {
+  const { source } = await splitCombinePluginId(appId);
+  if (source === PluginSourceEnum.personal) {
+    await authAppByTmbId({
+      appId,
+      tmbId,
+      per
+    });
+  }
+};

 export const authAppByTmbId = async ({
  tmbId,
--- a/packages/service/type.d.ts
+++ b/packages/service/type.d.ts
@@ -25,4 +25,7 @@ declare global {
    worker: Worker;
    callbackMap: Record<string, (e: number) => void>;
  }[];
+
+  var systemLoadedGlobalVariables: boolean;
+  var systemLoadedGlobalConfig: boolean;
 }
--- a/packages/web/components/common/Avatar/index.tsx
+++ b/packages/web/components/common/Avatar/index.tsx
@@ -2,9 +2,16 @@ import React from 'react';
 import { Image } from '@chakra-ui/react';
 import type { ImageProps } from '@chakra-ui/react';
 import { LOGO_ICON } from '@fastgpt/global/common/system/constants';
+import MyIcon from '../Icon';
+import { iconPaths } from '../Icon/constants';

 const Avatar = ({ w = '30px', src, ...props }: ImageProps) => {
-  return (
+  // @ts-ignore
+  const isIcon = !!iconPaths[src as any];
+
+  return isIcon ? (
+    <MyIcon name={src as any} w={w} borderRadius={props.borderRadius} />
+  ) : (
    <Image
      fallbackSrc={LOGO_ICON}
      fallbackStrategy={'onError'}
--- a/packages/web/components/common/DateRangePicker/index.tsx
+++ b/packages/web/components/common/DateRangePicker/index.tsx
@@ -103,7 +103,7 @@ const DateRangePicker = ({
                  mr={2}
                  onClick={() => setShowSelected(false)}
                >
-                  {t('common.Close')}
+                  {t('common:common.Close')}
                </Button>
                <Button
                  size={'sm'}
@@ -112,7 +112,7 @@ const DateRangePicker = ({
                    setShowSelected(false);
                  }}
                >
-                  {t('common.Confirm')}
+                  {t('common:common.Confirm')}
                </Button>
              </Flex>
            }
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Archer	cf7145ab54	System plugin (#2091 ) * System template (#2082) * feat: system plugin (#2024) * add plugin cost & change plugin avatar (#2030) * add plugin cost & change plugin avatar * add author * feat: duckduckgo plugin * duckduck search * perf: templates select system plugin * perf: system plugin avatar * feat: duckduck plugins * doc * perf: plugin classify * perf: icon avatar component * perf: system template avatar --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com> * feat: system plugin search * perf: plugin packages important * perf: source avatar * nextconfig * perf: i18n * perf: default model * perf: system plugin author --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>	2024-07-19 14:15:01 +08:00
Carson Yang	1eedb9caba	Update workflow to change baseurl for cn site (#2081 ) * Docs: fix gitinfo Signed-off-by: Carson Yang <yangchuansheng33@gmail.com> * Update workflow to change baseurl for cn site Signed-off-by: Carson Yang <yangchuansheng33@gmail.com> --------- Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2024-07-18 12:15:03 +08:00
heheer	6390d64417	fix: delete plugin output node check filter (#2080 )	2024-07-18 10:44:13 +08:00
Archer	3d80eb288b	lock (#2079 )	2024-07-18 10:13:47 +08:00
Archer	5cb196535f	4.8.7 fix (#2076 )	2024-07-17 19:06:37 +08:00
jingyang	982325d066	fix i18next.d.ts (#2064 ) * fix i18next.d.ts * feat: packages web i18n * delete file	2024-07-17 15:27:51 +08:00
Archer	36f8755d09	lock (#2063 ) * lock * perf: init data * perf: vision model url * fix: chat index	2024-07-17 00:16:57 +08:00
jingyang	fc96bb99cc	feat: optimize i18n implementation for better localization (#2062 ) * feat: optimize i18n implementation for better localization * delete i18n-ally-custom-framework.yml * update common key	2024-07-16 17:56:27 +08:00
papapatrick	1e4ffc2481	docs: 完善本地开发教程 (#2061 )	2024-07-16 17:38:11 +08:00
Archer	ee7496467b	4.8.7 test (#2058 ) * fix: query extension id;App page change type invalid * prettier	2024-07-16 16:55:12 +08:00
Archer	b5c98a4f63	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>	2024-07-15 22:50:48 +08:00
Zong	090c880860	feat(image): metadata support image mime type (#2026 )	2024-07-14 23:25:16 +08:00
Archer	dd2a9bdee5	Update 486.md	2024-07-11 14:43:34 +08:00
Archer	8d60ef505f	Update 486.md	2024-07-11 14:41:48 +08:00
Archer	b14514c105	4.8.6 sandbox (#2020 ) * fix: openapi doc * update doc	2024-07-11 14:36:27 +08:00
Archer	11ffaaf2c5	4.8.6 sandbox (#2017 ) * fix: openapi doc * update doc	2024-07-11 10:34:59 +08:00
Archer	e2ae571d15	4.8.6 fix (#1970 ) * fix: full text search match query * perf: mongo schema import, Avoid duplicate import * feat: mongo log store * doc * fix: sandbox outputs * perf: desc color * fix: node init * perf code * perf: chat header	2024-07-10 15:52:39 +08:00
Zong	f548e24e7d	fix(env): typo template (#1990 )	2024-07-08 15:05:23 +08:00