diff --git a/client/src/service/response.ts b/client/src/service/response.ts
index 59d13f78e..576486f9d 100644
--- a/client/src/service/response.ts
+++ b/client/src/service/response.ts
@@ -52,7 +52,7 @@ export const jsonRes = <T = any>(
     } else if (openaiError[error?.response?.statusText]) {
       msg = openaiError[error.response.statusText];
     }
-    console.log(error?.response);
+    console.log(error);
   }
 
   res.status(code).json({
@@ -92,7 +92,7 @@ export const sseErrRes = (res: NextApiResponse, error: any) => {
   } else if (openaiError[error?.response?.statusText]) {
     msg = openaiError[error.response.statusText];
   }
-  console.log('sse error => ', error?.response);
+  console.log('sse error => ', error);
 
   sseResponse({
     res,
diff --git a/client/src/utils/plugin/google.ts b/client/src/utils/plugin/google.ts
deleted file mode 100644
index 513883c71..000000000
--- a/client/src/utils/plugin/google.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-import axios from 'axios';
-import { Obj2Query } from '../tools';
-
-export const getClientToken = (googleClientVerKey?: string) => {
-  if (!googleClientVerKey || typeof window.grecaptcha === 'undefined' || !window.grecaptcha?.ready)
-    return '';
-  return new Promise<string>((resolve, reject) => {
-    window.grecaptcha.ready(async () => {
-      try {
-        const token = await window.grecaptcha.execute(googleClientVerKey, {
-          action: 'submit'
-        });
-        resolve(token);
-      } catch (error) {
-        reject(error);
-      }
-    });
-  });
-};
-
-// service run
-export const authGoogleToken = async (data: {
-  secret: string;
-  response: string;
-  remoteip?: string;
-}) => {
-  const res = await axios.post<{
-    score?: number;
-    success: boolean;
-    'error-codes': string[];
-  }>(`https://www.recaptcha.net/recaptcha/api/siteverify?${Obj2Query(data)}`);
-
-  if (res.data.success) {
-    return Promise.resolve('');
-  }
-  return Promise.reject(res?.data?.['error-codes']?.[0] || '非法环境');
-};
diff --git a/docSite/docs/flow-modules/examples/imgs/google_search_1.png b/docSite/docs/flow-modules/examples/imgs/google_search_1.png
index 0401da342..76c448a35 100644
Binary files a/docSite/docs/flow-modules/examples/imgs/google_search_1.png and b/docSite/docs/flow-modules/examples/imgs/google_search_1.png differ
diff --git a/docSite/docs/flow-modules/examples/imgs/google_search_2.png b/docSite/docs/flow-modules/examples/imgs/google_search_2.png
index 7b7e3432a..25dde0073 100644
Binary files a/docSite/docs/flow-modules/examples/imgs/google_search_2.png and b/docSite/docs/flow-modules/examples/imgs/google_search_2.png differ
diff --git a/docSite/docs/flow-modules/examples/web_search_google.md b/docSite/docs/flow-modules/examples/web_search_google.md
index ec25aff4c..07054ea0c 100644
--- a/docSite/docs/flow-modules/examples/web_search_google.md
+++ b/docSite/docs/flow-modules/examples/web_search_google.md
@@ -15,16 +15,20 @@ As shown in the above images, with the help of the HTTP module, you can easily i
 
 ```ts
 import cloud from '@lafjs/cloud';
+
 const googleSearchKey = '';
 const googleCxId = '';
 const baseurl = 'https://www.googleapis.com/customsearch/v1';
+
 export default async function (ctx: FunctionContext) {
   const { searchKey } = ctx.body;
+
   if (!searchKey) {
     return {
       prompt: ''
     };
   }
+
   try {
     const { data } = await cloud.fetch.get(baseurl, {
       params: {
@@ -33,15 +37,12 @@ export default async function (ctx: FunctionContext) {
         key: googleSearchKey,
         c2coff: 1,
         start: 1,
-        num: 5,
+        end: 5,
         dateRestrict: 'm[1]'
       }
     });
     const result = data.items.map((item) => item.snippet).join('\n');
-    return {
-      prompt: `Here are the search results from Google: ${result}`,
-      searchKey: `\nSearch term: ${searchKey}`
-    };
+    return { prompt: `搜索词: ${searchKey};google 搜索结果: ${result}` };
   } catch (err) {
     console.log(err);
     return {
@@ -53,18 +54,395 @@ export default async function (ctx: FunctionContext) {
 
 ## Workflow
 
-Drag out a FastGPT workflow as shown in the image, where the request URL of the HTTP module is the interface address, and the input and output parameters are as follows:
-**Input**
+Copy the following configuration, click the Import button in the upper right corner of Advanced orchestration, import the configuration, and copy the interface address to [HTTP module] after import.
 
-```
-searchKey: Search Key Word
+```json
+[
+  {
+    "moduleId": "userChatInput",
+    "name": "用户问题(对话入口)",
+    "flowType": "questionInput",
+    "position": {
+      "x": 464.32198615344566,
+      "y": 1602.2698463081606
+    },
+    "inputs": [
+      {
+        "key": "userChatInput",
+        "type": "systemInput",
+        "label": "用户问题",
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "key": "userChatInput",
+        "label": "用户问题",
+        "type": "source",
+        "valueType": "string",
+        "targets": [
+          {
+            "moduleId": "6g2075",
+            "key": "content"
+          },
+          {
+            "moduleId": "aijmbb",
+            "key": "userChatInput"
+          }
+        ]
+      }
+    ]
+  },
+  {
+    "moduleId": "history",
+    "name": "聊天记录",
+    "flowType": "historyNode",
+    "position": {
+      "x": 452.5466249541586,
+      "y": 1276.3930310334215
+    },
+    "inputs": [
+      {
+        "key": "maxContext",
+        "type": "numberInput",
+        "label": "最长记录数",
+        "value": 6,
+        "min": 0,
+        "max": 50,
+        "connected": true
+      },
+      {
+        "key": "history",
+        "type": "hidden",
+        "label": "聊天记录",
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "key": "history",
+        "label": "聊天记录",
+        "valueType": "chat_history",
+        "type": "source",
+        "targets": [
+          {
+            "moduleId": "6g2075",
+            "key": "history"
+          },
+          {
+            "moduleId": "aijmbb",
+            "key": "history"
+          }
+        ]
+      }
+    ]
+  },
+  {
+    "moduleId": "6g2075",
+    "name": "文本内容提取",
+    "flowType": "contentExtract",
+    "showStatus": true,
+    "position": {
+      "x": 971.5119545668634,
+      "y": 1118.186021718385
+    },
+    "inputs": [
+      {
+        "key": "switch",
+        "type": "target",
+        "label": "触发器",
+        "valueType": "any",
+        "connected": false
+      },
+      {
+        "key": "description",
+        "type": "textarea",
+        "valueType": "string",
+        "label": "提取要求描述",
+        "description": "写一段提取要求，告诉 AI 需要提取哪些内容",
+        "required": true,
+        "placeholder": "例如: \n1. 你是一个实验室预约助手。根据用户问题，提取出姓名、实验室号和预约时间",
+        "value": "你是谷歌搜索机器人，可以生成搜索词。你需要自行判断是否需要生成搜索词，如果不需要则返回空字符串。",
+        "connected": true
+      },
+      {
+        "key": "history",
+        "type": "target",
+        "label": "聊天记录",
+        "valueType": "chat_history",
+        "connected": true
+      },
+      {
+        "key": "content",
+        "type": "target",
+        "label": "需要提取的文本",
+        "required": true,
+        "valueType": "string",
+        "connected": true
+      },
+      {
+        "key": "extractKeys",
+        "type": "custom",
+        "label": "目标字段",
+        "description": "由 '描述' 和 'key' 组成一个目标字段，可提取多个目标字段",
+        "value": [
+          {
+            "desc": "搜索词",
+            "key": "searchKey",
+            "required": false
+          }
+        ],
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "key": "success",
+        "label": "字段完全提取",
+        "valueType": "boolean",
+        "type": "source",
+        "targets": []
+      },
+      {
+        "key": "failed",
+        "label": "提取字段缺失",
+        "valueType": "boolean",
+        "type": "source",
+        "targets": [
+          {
+            "moduleId": "aijmbb",
+            "key": "switch"
+          }
+        ]
+      },
+      {
+        "key": "fields",
+        "label": "完整提取结果",
+        "description": "一个 JSON 字符串，例如：{\"name:\":\"YY\",\"Time\":\"2023/7/2 18:00\"}",
+        "valueType": "string",
+        "type": "source",
+        "targets": []
+      },
+      {
+        "key": "searchKey",
+        "label": "提取结果-搜索词",
+        "description": "无法提取时不会返回",
+        "valueType": "string",
+        "type": "source",
+        "targets": [
+          {
+            "moduleId": "5fk9ru",
+            "key": "searchKey"
+          }
+        ]
+      }
+    ]
+  },
+  {
+    "moduleId": "5fk9ru",
+    "name": "HTTP模块",
+    "flowType": "httpRequest",
+    "showStatus": true,
+    "position": {
+      "x": 1481.5339897373183,
+      "y": 1290.2958964143072
+    },
+    "inputs": [
+      {
+        "key": "url",
+        "value": "https://d8dns0.laf.dev/google_web_search",
+        "type": "input",
+        "label": "请求地址",
+        "description": "请求目标地址",
+        "placeholder": "https://api.fastgpt.run/getInventory",
+        "required": true,
+        "connected": true
+      },
+      {
+        "key": "switch",
+        "type": "target",
+        "label": "触发器",
+        "valueType": "any",
+        "connected": false
+      },
+      {
+        "valueType": "string",
+        "type": "target",
+        "label": "搜索词",
+        "edit": true,
+        "key": "searchKey",
+        "required": true,
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "label": "搜索词",
+        "valueType": "string",
+        "type": "source",
+        "edit": true,
+        "targets": [],
+        "key": "searchKey"
+      },
+      {
+        "label": "搜索结果",
+        "valueType": "string",
+        "type": "source",
+        "edit": true,
+        "targets": [
+          {
+            "moduleId": "aijmbb",
+            "key": "systemPrompt"
+          }
+        ],
+        "key": "prompt"
+      },
+      {
+        "key": "finish",
+        "label": "请求结束",
+        "valueType": "boolean",
+        "type": "source",
+        "targets": [
+          {
+            "moduleId": "aijmbb",
+            "key": "switch"
+          }
+        ]
+      }
+    ]
+  },
+  {
+    "moduleId": "aijmbb",
+    "name": "AI 对话",
+    "flowType": "chatNode",
+    "showStatus": true,
+    "position": {
+      "x": 2086.6387991825745,
+      "y": 1090.812798225035
+    },
+    "inputs": [
+      {
+        "key": "model",
+        "type": "custom",
+        "label": "对话模型",
+        "value": "gpt-3.5-turbo-16k",
+        "list": [],
+        "connected": true
+      },
+      {
+        "key": "temperature",
+        "type": "slider",
+        "label": "温度",
+        "value": 0,
+        "min": 0,
+        "max": 10,
+        "step": 1,
+        "markList": [
+          {
+            "label": "严谨",
+            "value": 0
+          },
+          {
+            "label": "发散",
+            "value": 10
+          }
+        ],
+        "connected": true
+      },
+      {
+        "key": "maxToken",
+        "type": "custom",
+        "label": "回复上限",
+        "value": 8000,
+        "min": 100,
+        "max": 4000,
+        "step": 50,
+        "markList": [
+          {
+            "label": "100",
+            "value": 100
+          },
+          {
+            "label": "4000",
+            "value": 4000
+          }
+        ],
+        "connected": true
+      },
+      {
+        "key": "systemPrompt",
+        "type": "textarea",
+        "label": "系统提示词",
+        "valueType": "string",
+        "description": "模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}",
+        "placeholder": "模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}",
+        "value": "",
+        "connected": true
+      },
+      {
+        "key": "limitPrompt",
+        "type": "textarea",
+        "valueType": "string",
+        "label": "限定词",
+        "description": "限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 \"Laf\" 无关内容，直接回复: \"我不知道\"。\n2. 你仅回答关于 \"xxx\" 的问题，其他问题回复: \"xxxx\"",
+        "placeholder": "限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 \"Laf\" 无关内容，直接回复: \"我不知道\"。\n2. 你仅回答关于 \"xxx\" 的问题，其他问题回复: \"xxxx\"",
+        "value": "上文是谷歌搜索的结果，你可以提供实时信息，根据搜索结果回答问题。当前时间是{{cTime}}。",
+        "connected": true
+      },
+      {
+        "key": "switch",
+        "type": "target",
+        "label": "触发器",
+        "valueType": "any",
+        "connected": true
+      },
+      {
+        "key": "quoteQA",
+        "type": "target",
+        "label": "引用内容",
+        "valueType": "kb_quote",
+        "connected": false
+      },
+      {
+        "key": "history",
+        "type": "target",
+        "label": "聊天记录",
+        "valueType": "chat_history",
+        "connected": true
+      },
+      {
+        "key": "userChatInput",
+        "type": "target",
+        "label": "用户问题",
+        "required": true,
+        "valueType": "string",
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "key": "answerText",
+        "label": "模型回复",
+        "description": "直接响应，无需配置",
+        "type": "hidden",
+        "targets": []
+      },
+      {
+        "key": "finish",
+        "label": "回复结束",
+        "description": "AI 回复完成后触发",
+        "valueType": "boolean",
+        "type": "source",
+        "targets": []
+      }
+    ]
+  }
+]
 ```
 
-**Output**
+**Process Description**
 
-```
-prompt: Search Result
-```
-
-- The HTTP module will send the searchKey to laf, and laf will perform a Google search based on the received input. It will then return the search results through the prompt parameter.
-- After receiving the response, the HTTP module connects to the prompt of the "AI Dialogue" to guide the model in providing an answer.
+1. The extraction module extracts the user's question into search keywords.
+2. The search keywords are passed to the HTTP module.
+3. The HTTP module calls the Google search API and returns the search results.
+4. The search results are passed to the prompt of the "AI Dialogue" to guide the model in generating an answer.
diff --git a/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/imgs/google_search_1.png b/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/imgs/google_search_1.png
index 0401da342..76c448a35 100644
Binary files a/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/imgs/google_search_1.png and b/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/imgs/google_search_1.png differ
diff --git a/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/imgs/google_search_2.png b/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/imgs/google_search_2.png
index 7b7e3432a..25dde0073 100644
Binary files a/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/imgs/google_search_2.png and b/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/imgs/google_search_2.png differ
diff --git a/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/web_search_google.md b/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/web_search_google.md
index 3db921802..d058b6eb2 100644
--- a/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/web_search_google.md
+++ b/docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/flow-modules/examples/web_search_google.md
@@ -38,12 +38,12 @@ export default async function (ctx: FunctionContext) {
         key: googleSearchKey,
         c2coff: 1,
         start: 1,
-        num: 5,
+        end: 5,
         dateRestrict: 'm[1]'
       }
     });
     const result = data.items.map((item) => item.snippet).join('\n');
-    return { prompt: `这是 google 搜索的结果: ${result}`, searchKey: `\n搜索词为: ${searchKey}` };
+    return { prompt: `搜索词: ${searchKey};google 搜索结果: ${result}` };
   } catch (err) {
     console.log(err);
     return {
@@ -55,19 +55,395 @@ export default async function (ctx: FunctionContext) {
 
 ## 编排
 
-按上图拖出一个 FastGPT 编排组合，其中 HTTP 模块的请求地址为接口地址，出入参如下：
+复制下面配置，点击高级编排右上角的导入按键，导入该配置，导入后将接口地址复制到 【HTTP 模块】。
 
-**入参**
-
-```
-searchKey: 搜索词
+```json
+[
+  {
+    "moduleId": "userChatInput",
+    "name": "用户问题(对话入口)",
+    "flowType": "questionInput",
+    "position": {
+      "x": 464.32198615344566,
+      "y": 1602.2698463081606
+    },
+    "inputs": [
+      {
+        "key": "userChatInput",
+        "type": "systemInput",
+        "label": "用户问题",
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "key": "userChatInput",
+        "label": "用户问题",
+        "type": "source",
+        "valueType": "string",
+        "targets": [
+          {
+            "moduleId": "6g2075",
+            "key": "content"
+          },
+          {
+            "moduleId": "aijmbb",
+            "key": "userChatInput"
+          }
+        ]
+      }
+    ]
+  },
+  {
+    "moduleId": "history",
+    "name": "聊天记录",
+    "flowType": "historyNode",
+    "position": {
+      "x": 452.5466249541586,
+      "y": 1276.3930310334215
+    },
+    "inputs": [
+      {
+        "key": "maxContext",
+        "type": "numberInput",
+        "label": "最长记录数",
+        "value": 6,
+        "min": 0,
+        "max": 50,
+        "connected": true
+      },
+      {
+        "key": "history",
+        "type": "hidden",
+        "label": "聊天记录",
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "key": "history",
+        "label": "聊天记录",
+        "valueType": "chat_history",
+        "type": "source",
+        "targets": [
+          {
+            "moduleId": "6g2075",
+            "key": "history"
+          },
+          {
+            "moduleId": "aijmbb",
+            "key": "history"
+          }
+        ]
+      }
+    ]
+  },
+  {
+    "moduleId": "6g2075",
+    "name": "文本内容提取",
+    "flowType": "contentExtract",
+    "showStatus": true,
+    "position": {
+      "x": 971.5119545668634,
+      "y": 1118.186021718385
+    },
+    "inputs": [
+      {
+        "key": "switch",
+        "type": "target",
+        "label": "触发器",
+        "valueType": "any",
+        "connected": false
+      },
+      {
+        "key": "description",
+        "type": "textarea",
+        "valueType": "string",
+        "label": "提取要求描述",
+        "description": "写一段提取要求，告诉 AI 需要提取哪些内容",
+        "required": true,
+        "placeholder": "例如: \n1. 你是一个实验室预约助手。根据用户问题，提取出姓名、实验室号和预约时间",
+        "value": "你是谷歌搜索机器人，可以生成搜索词。你需要自行判断是否需要生成搜索词，如果不需要则返回空字符串。",
+        "connected": true
+      },
+      {
+        "key": "history",
+        "type": "target",
+        "label": "聊天记录",
+        "valueType": "chat_history",
+        "connected": true
+      },
+      {
+        "key": "content",
+        "type": "target",
+        "label": "需要提取的文本",
+        "required": true,
+        "valueType": "string",
+        "connected": true
+      },
+      {
+        "key": "extractKeys",
+        "type": "custom",
+        "label": "目标字段",
+        "description": "由 '描述' 和 'key' 组成一个目标字段，可提取多个目标字段",
+        "value": [
+          {
+            "desc": "搜索词",
+            "key": "searchKey",
+            "required": false
+          }
+        ],
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "key": "success",
+        "label": "字段完全提取",
+        "valueType": "boolean",
+        "type": "source",
+        "targets": []
+      },
+      {
+        "key": "failed",
+        "label": "提取字段缺失",
+        "valueType": "boolean",
+        "type": "source",
+        "targets": [
+          {
+            "moduleId": "aijmbb",
+            "key": "switch"
+          }
+        ]
+      },
+      {
+        "key": "fields",
+        "label": "完整提取结果",
+        "description": "一个 JSON 字符串，例如：{\"name:\":\"YY\",\"Time\":\"2023/7/2 18:00\"}",
+        "valueType": "string",
+        "type": "source",
+        "targets": []
+      },
+      {
+        "key": "searchKey",
+        "label": "提取结果-搜索词",
+        "description": "无法提取时不会返回",
+        "valueType": "string",
+        "type": "source",
+        "targets": [
+          {
+            "moduleId": "5fk9ru",
+            "key": "searchKey"
+          }
+        ]
+      }
+    ]
+  },
+  {
+    "moduleId": "5fk9ru",
+    "name": "HTTP模块",
+    "flowType": "httpRequest",
+    "showStatus": true,
+    "position": {
+      "x": 1481.5339897373183,
+      "y": 1290.2958964143072
+    },
+    "inputs": [
+      {
+        "key": "url",
+        "value": "https://d8dns0.laf.dev/google_web_search",
+        "type": "input",
+        "label": "请求地址",
+        "description": "请求目标地址",
+        "placeholder": "https://api.fastgpt.run/getInventory",
+        "required": true,
+        "connected": true
+      },
+      {
+        "key": "switch",
+        "type": "target",
+        "label": "触发器",
+        "valueType": "any",
+        "connected": false
+      },
+      {
+        "valueType": "string",
+        "type": "target",
+        "label": "搜索词",
+        "edit": true,
+        "key": "searchKey",
+        "required": true,
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "label": "搜索词",
+        "valueType": "string",
+        "type": "source",
+        "edit": true,
+        "targets": [],
+        "key": "searchKey"
+      },
+      {
+        "label": "搜索结果",
+        "valueType": "string",
+        "type": "source",
+        "edit": true,
+        "targets": [
+          {
+            "moduleId": "aijmbb",
+            "key": "systemPrompt"
+          }
+        ],
+        "key": "prompt"
+      },
+      {
+        "key": "finish",
+        "label": "请求结束",
+        "valueType": "boolean",
+        "type": "source",
+        "targets": [
+          {
+            "moduleId": "aijmbb",
+            "key": "switch"
+          }
+        ]
+      }
+    ]
+  },
+  {
+    "moduleId": "aijmbb",
+    "name": "AI 对话",
+    "flowType": "chatNode",
+    "showStatus": true,
+    "position": {
+      "x": 2086.6387991825745,
+      "y": 1090.812798225035
+    },
+    "inputs": [
+      {
+        "key": "model",
+        "type": "custom",
+        "label": "对话模型",
+        "value": "gpt-3.5-turbo-16k",
+        "list": [],
+        "connected": true
+      },
+      {
+        "key": "temperature",
+        "type": "slider",
+        "label": "温度",
+        "value": 0,
+        "min": 0,
+        "max": 10,
+        "step": 1,
+        "markList": [
+          {
+            "label": "严谨",
+            "value": 0
+          },
+          {
+            "label": "发散",
+            "value": 10
+          }
+        ],
+        "connected": true
+      },
+      {
+        "key": "maxToken",
+        "type": "custom",
+        "label": "回复上限",
+        "value": 8000,
+        "min": 100,
+        "max": 4000,
+        "step": 50,
+        "markList": [
+          {
+            "label": "100",
+            "value": 100
+          },
+          {
+            "label": "4000",
+            "value": 4000
+          }
+        ],
+        "connected": true
+      },
+      {
+        "key": "systemPrompt",
+        "type": "textarea",
+        "label": "系统提示词",
+        "valueType": "string",
+        "description": "模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}",
+        "placeholder": "模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}",
+        "value": "",
+        "connected": true
+      },
+      {
+        "key": "limitPrompt",
+        "type": "textarea",
+        "valueType": "string",
+        "label": "限定词",
+        "description": "限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 \"Laf\" 无关内容，直接回复: \"我不知道\"。\n2. 你仅回答关于 \"xxx\" 的问题，其他问题回复: \"xxxx\"",
+        "placeholder": "限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 \"Laf\" 无关内容，直接回复: \"我不知道\"。\n2. 你仅回答关于 \"xxx\" 的问题，其他问题回复: \"xxxx\"",
+        "value": "上文是谷歌搜索的结果，你可以提供实时信息，根据搜索结果回答问题。当前时间是{{cTime}}。",
+        "connected": true
+      },
+      {
+        "key": "switch",
+        "type": "target",
+        "label": "触发器",
+        "valueType": "any",
+        "connected": true
+      },
+      {
+        "key": "quoteQA",
+        "type": "target",
+        "label": "引用内容",
+        "valueType": "kb_quote",
+        "connected": false
+      },
+      {
+        "key": "history",
+        "type": "target",
+        "label": "聊天记录",
+        "valueType": "chat_history",
+        "connected": true
+      },
+      {
+        "key": "userChatInput",
+        "type": "target",
+        "label": "用户问题",
+        "required": true,
+        "valueType": "string",
+        "connected": true
+      }
+    ],
+    "outputs": [
+      {
+        "key": "answerText",
+        "label": "模型回复",
+        "description": "直接响应，无需配置",
+        "type": "hidden",
+        "targets": []
+      },
+      {
+        "key": "finish",
+        "label": "回复结束",
+        "description": "AI 回复完成后触发",
+        "valueType": "boolean",
+        "type": "source",
+        "targets": []
+      }
+    ]
+  }
+]
 ```
 
-**出参**
+**流程说明**
 
-```
-prompt: 搜索结果
-```
-
-- HTTP 模块会将 searchKey 发送到 laf，laf 接收后去进行谷歌搜索，并将搜索的结果通过 prompt 参数返回。
-- 返回后，HTTP 模块连接到【AI 对话】的提示词，引导模型进行回答。
+1. 提取模块将用户的问题提取成搜索关键词
+2. 将搜索关键词传入 HTTP 模块
+3. HTTP 模块调用谷歌搜索接口，返回搜索内容
+4. 将搜索内容传入【AI 对话】的提示词，引导模型进行回答。