使用Gemini AI、Typeform和Google表格报告分类支持工单
高级
这是一个Support, AI领域的自动化工作流,包含 17 个节点。主要使用 Code, EmailSend, GoogleSheets, TypeformTrigger, ChainLlm 等节点,结合人工智能技术实现智能自动化。 使用Gemini AI、Typeform和Google表格报告分类支持工单
前置要求
- •Google Sheets API 凭证
- •Google Gemini API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
"meta": {
"instanceId": "5aaf4236c70e34e423fbdb2c7b754d19253a933bb1476d548f75848a01e473cf",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "fc0f2155-ac48-4cd0-97d2-3eb81dac1757",
"name": "Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-840,
120
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"typeVersion": 1
},
{
"id": "992c9e1b-ec91-4470-887f-e43c899cfb8c",
"name": "### 替换 Airtable 连接",
"type": "n8n-nodes-base.stickyNote",
"position": [
1080,
-280
],
"parameters": {
"color": 4,
"width": 500,
"height": 1280,
"content": "======================================="
},
"typeVersion": 1
},
{
"id": "4c76ce3a-6c1d-493b-b648-12c0d56fd9d8",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-820,
-640
],
"parameters": {
"width": 580,
"content": "此工作流从Google Sheets检索支持工单数据,计算每个类别中的工单数量,并通过电子邮件发送摘要报告。"
},
"typeVersion": 1
},
{
"id": "ab24dd90-ae20-496d-a963-6c89a65d2340",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-960,
-180
],
"parameters": {
"width": 170,
"height": 80,
"content": "触发工作流开始摘要过程。"
},
"typeVersion": 1
},
{
"id": "968d3213-dafc-415f-8760-31e0fb55d94a",
"name": "表单触发器",
"type": "n8n-nodes-base.typeformTrigger",
"position": [
-940,
-380
],
"webhookId": "d02525cf-b9c1-492d-866c-e188bd781155",
"parameters": {
"formId": "lwldQPTN"
},
"typeVersion": 1.1
},
{
"id": "d57b9477-f789-4ee2-a664-eba7f787a750",
"name": "便签 2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-680,
-160
],
"parameters": {
"width": 190,
"height": 100,
"content": "使用Gemini模型将每个支持请求分类或标记到预定义的类别中。"
},
"typeVersion": 1
},
{
"id": "bb7ae6f3-5c32-47a3-a91b-97e4e4b4e0b1",
"name": "便签10",
"type": "n8n-nodes-base.stickyNote",
"position": [
-400,
-160
],
"parameters": {
"width": 170,
"height": 100,
"content": "解析Gemini的响应以仅从输出中提取相关的类别标签。"
},
"typeVersion": 1
},
{
"id": "b7eb9e53-916f-4c34-babf-c8b23641b8a2",
"name": "AI分类",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
-740,
-380
],
"parameters": {
"text": "=Classify the support request below:\nMessage: {{ $json['Your message'] }}\n\nReturn output with 'category' and 'sentiment' columns of JSON FILE:\n{\n \"category\": one of [\"Billing\", \"Bug Report\", \"Feature Request\", \"How-To\", \"Complaint\"],\n \"sentiment\": one of [\"Positive\", \"Neutral\", \"Negative\"]\n}\n ",
"promptType": "define"
},
"typeVersion": 1.5
},
{
"id": "eb3c3d0a-cdad-4792-a954-1de022d968dd",
"name": "提取类别",
"type": "n8n-nodes-base.code",
"position": [
-360,
-380
],
"parameters": {
"jsCode": "// Get the input string\nconst inputString = $json.text;\n\n// Remove code block markers using regex\nconst cleaned = inputString.replace(/```json|```/g, '').trim();\n\n// Parse the JSON\nconst data = JSON.parse(cleaned);\n\n// Extract the values\nconst category = data.category;\nconst sentiment = data.sentiment;\n\n// Return as output\nreturn [{ category, sentiment }];"
},
"typeVersion": 2
},
{
"id": "b3c418d7-9113-46eb-af0a-2372de5a3eec",
"name": "存储数据",
"type": "n8n-nodes-base.googleSheets",
"position": [
-120,
-380
],
"parameters": {
"columns": {
"value": {
"Name": "={{ $('Form Trigger').item.json['Enter your name'] }}",
"Email": "={{ $('Form Trigger').item.json['Enter your email'] }}",
"Message": "={{ $('Form Trigger').item.json['Your message'] }}",
"Category": "={{ $json.category }}",
"Sentiment": "={{ $json.sentiment }}",
"Timestamp": "={{$now}}"
},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email",
"type": "string",
"display": true,
"required": false,
"displayName": "Email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Message",
"type": "string",
"display": true,
"required": false,
"displayName": "Message",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Category",
"type": "string",
"display": true,
"required": false,
"displayName": "Category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Sentiment",
"type": "string",
"display": true,
"required": false,
"displayName": "Sentiment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Timestamp",
"type": "string",
"display": true,
"required": false,
"displayName": "Timestamp",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1SY1fCAbsvyTzIBbmwZpdktbUFN4jKNIpF4GJ9lFKvPM/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1SY1fCAbsvyTzIBbmwZpdktbUFN4jKNIpF4GJ9lFKvPM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1SY1fCAbsvyTzIBbmwZpdktbUFN4jKNIpF4GJ9lFKvPM/edit?usp=drivesdk",
"cachedResultName": "Support"
}
},
"typeVersion": 4.5
},
{
"id": "51ef2daa-2c2e-409c-a103-6f915d3ef0d0",
"name": "获取支持工单数据",
"type": "n8n-nodes-base.googleSheets",
"position": [
100,
-380
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1SY1fCAbsvyTzIBbmwZpdktbUFN4jKNIpF4GJ9lFKvPM/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1SY1fCAbsvyTzIBbmwZpdktbUFN4jKNIpF4GJ9lFKvPM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1SY1fCAbsvyTzIBbmwZpdktbUFN4jKNIpF4GJ9lFKvPM/edit?usp=drivesdk",
"cachedResultName": "Support"
}
},
"typeVersion": 4.5
},
{
"id": "b3258a29-9bfa-4361-83d3-804aac76e976",
"name": "递增计数器",
"type": "n8n-nodes-base.code",
"position": [
300,
-380
],
"parameters": {
"jsCode": "const items = $input.all();\nconst counts = {};\nitems.forEach(item => {\n const cat = item.json.Category;\n if (cat) {\n counts[cat] = (counts[cat] || 0) + 1;\n }\n});\nreturn [{ json: { summary: counts } }];"
},
"typeVersion": 2
},
{
"id": "5c8193a0-6fab-494a-bd40-b26188c319b0",
"name": "电子邮件工单摘要",
"type": "n8n-nodes-base.emailSend",
"position": [
500,
-380
],
"parameters": {
"text": "=Hello,\n\nHere is the updated count of categorized support tickets:\n\nBilling: {{$json.summary.Billing || 0}}\nBug Report: {{$json.summary['Bug Report'] || 0}}\nFeature Request: {{$json.summary['Feature Request'] || 0}}\nHow-To: {{$json.summary['How-To'] || 0}}\nComplaint: {{$json.summary.Complaint || 0}}\n\nBest regards,\nSupport Tracker",
"options": {},
"subject": "Support Ticket Summary",
"toEmail": "notify@example.com",
"fromEmail": "you@example.com"
},
"typeVersion": 1
},
{
"id": "3827fa87-5669-4217-88fe-978328f0ec4c",
"name": "便签6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-140,
-180
],
"parameters": {
"width": 170,
"height": 120,
"content": "将每个分类和数据工单追加到中央Google表格中,用于记录保存和后续聚合。"
},
"typeVersion": 1
},
{
"id": "c515d231-f260-4c5a-9895-19fe0c229762",
"name": "便签 5",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-180
],
"parameters": {
"width": 170,
"height": 120,
"content": "从Google表格获取所有分类条目以按类别计算工单数量。"
},
"typeVersion": 1
},
{
"id": "f6eb3bd4-c4fa-4b98-bc58-1930118e3b25",
"name": "便签 4",
"type": "n8n-nodes-base.stickyNote",
"position": [
300,
-180
],
"parameters": {
"width": 170,
"height": 100,
"content": "按类别分组工单并计算每组的总数,为报告准备数据。"
},
"typeVersion": 1
},
{
"id": "5ec81b1c-14d1-4540-9acb-ad8c97632246",
"name": "便签 3",
"type": "n8n-nodes-base.stickyNote",
"position": [
520,
-180
],
"parameters": {
"width": 170,
"height": 100,
"content": "发送包含今天运行中每个类别工单总数的电子邮件。"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Store Data": {
"main": [
[
{
"node": "Fetch Support Ticket Data",
"type": "main",
"index": 0
}
]
]
},
"Form Trigger": {
"main": [
[
{
"node": "AI Categorization",
"type": "main",
"index": 0
}
]
]
},
"Extract Category": {
"main": [
[
{
"node": "Store Data",
"type": "main",
"index": 0
}
]
]
},
"AI Categorization": {
"main": [
[
{
"node": "Extract Category",
"type": "main",
"index": 0
}
]
]
},
"Increment Counter": {
"main": [
[
{
"node": "Email Ticket Summary",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Categorization",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Fetch Support Ticket Data": {
"main": [
[
{
"node": "Increment Counter",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流?
复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景?
高级 - 客户支持, 人工智能
需要付费吗?
本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。
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工作流信息
难度等级
高级
节点数量17
分类2
节点类型7
作者
Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host
外部链接
在 n8n.io 查看 →
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