InstaTest
工作流概述
这是一个包含11个节点的复杂工作流,主要用于自动化处理各种任务。
工作流源代码
{
"id": "qww129cm4TM9N8Ru",
"meta": {
"instanceId": "038da3428bba4563b42be267feeca21b4922693db254331ac640a5c56ee7cadf",
"templateCredsSetupCompleted": true
},
"name": "InstaTest",
"tags": [
{
"id": "8PlqXsDyqVlHJ7RC",
"name": "AI",
"createdAt": "2024-07-10T14:12:10.657Z",
"updatedAt": "2024-07-10T14:12:10.657Z"
}
],
"nodes": [
{
"id": "51dcaa84-d1f9-4abc-aebc-24a06801e42d",
"name": "Set your system promt for AI",
"type": "n8n-nodes-base.set",
"notes": "In this node in \"prompt\" variable you can set your system prompt",
"position": [
1120,
620
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0b3c3d71-5627-4b8c-91f0-ac44eaedf196",
"name": "prompt",
"type": "string",
"value": "=Persona: You are a instagram influencer.
Context: You receive a messages from your subscribers
Task: Answer questions in your writing style and patterns according to your previous posts text. Use your post only for style and patterns reference.
Style rules:
simple answers"
},
{
"id": "c2a9e272-5c0d-4685-ad0e-ce6995f92a1c",
"name": "sessionId",
"type": "string",
"value": "={{ $json.body.session_id }}"
},
{
"id": "b3c20ee3-07a1-4584-b0d9-7310a2c6b723",
"name": "chatInput",
"type": "string",
"value": "={{ $json.body.text }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "0fb36573-d632-4403-8809-3973f9caa32a",
"name": "Local n8n memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1500,
780
],
"parameters": {
"sessionKey": "={{ $('Set your system promt for AI').last().json.sessionId }}",
"sessionIdType": "customKey",
"contextWindowLength": 20
},
"typeVersion": 1.3
},
{
"id": "2f0471a7-2a84-41ce-aab1-896d5ea95ac3",
"name": "ChatGPT model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1360,
780
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "HxWZhtJcnqTXVHAA",
"name": "General"
}
},
"typeVersion": 1
},
{
"id": "49abc3a3-faf9-4249-b874-908138a84aea",
"name": "Send respond ",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1720,
620
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "49382508-9307-4ffa-8b31-78fac3a7db10",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
320,
360
],
"parameters": {
"color": 5,
"width": 458.4028599661066,
"height": 447.98321744507007,
"content": "## Easy Instagram(via ManyChat) bot
---
### Description:
This template is a main part of Entire solution. It's getting new message from Instagram via ManyChat(Extra No-Code tool for getting and sending message in Instagram). Generating message using ChatGPT and send back to ManyChat that sends it to Instagrtam.
### Logic:
1. Getting message from Instagram(from ManyChat)
2. Set you system prompt for AI
3. Create simple answer for message in AI block
4. Send answer to Instagram(to ManyChat)
---
*Helpful links:*
- [Guide in Notion how to create full bot](https://shadowed-pound-d6e.notion.site/Instagram-GPT-light-version-Manychat-X-N8N-176293bddff880899a9ac255585d29f7?pvs=4)
- [ManyChat](https://manychat.partnerlinks.io/vm4wkw8j81tc)"
},
"typeVersion": 1
},
{
"id": "5d14544c-7039-435f-a53c-615b5722bb99",
"name": "Getting message from Instagram",
"type": "n8n-nodes-base.webhook",
"position": [
900,
620
],
"webhookId": "68d3fbc9-6e49-4bdc-851c-2a532be911ab",
"parameters": {
"path": "instagram_chat",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "3770f558-341b-4d67-a7f0-0bb2fecf51a3",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1320,
300
],
"parameters": {
"width": 313.9634922216307,
"height": 614.7475040550845,
"content": "## 3) AI block
---
There is 3 nodes:
- AI Agent
- Chat GPT model
- Memory for history messages
### To do:
- in ChatGPT node you can choose the best model for you
- in Memory Block you can change number of messages in history
"
},
"typeVersion": 1
},
{
"id": "cbb6c5a2-9b96-4305-afce-5ac560ae2dec",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1340,
620
],
"parameters": {
"text": "={{ $json.chatInput }}",
"options": {
"systemMessage": "={{ $json.prompt }}"
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "4e28119f-b1aa-4b20-a8ed-28bd137f9627",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
360
],
"parameters": {
"height": 440,
"content": "## 1) HTTP Post webhook
**To do:**
Just copy production link from this node and insert to custom action in ManyChat
No edits needed"
},
"typeVersion": 1
},
{
"id": "b18a8890-b420-4086-91c8-8edbc845c8af",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1080,
480
],
"parameters": {
"width": 220,
"height": 320,
"content": "## 2) Edit prompt
**To do:**
Go inside and change input
"
},
"typeVersion": 1
},
{
"id": "74d4e6f5-069e-4b37-8005-8c03226b05df",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1660,
480
],
"parameters": {
"height": 300,
"content": "## 4) Respond webhook
No edits needed"
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "2f36fc7a-0a69-4af3-a958-25e9d278f058",
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Send respond ",
"type": "main",
"index": 0
}
]
]
},
"ChatGPT model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Local n8n memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Set your system promt for AI": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Getting message from Instagram": {
"main": [
[
{
"node": "Set your system promt for AI",
"type": "main",
"index": 0
}
]
]
}
}
}
功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- Set
- @N8N/N8N Nodes Langchain.Memorybufferwindow
- @N8N/N8N Nodes Langchain.Lmchatopenai
- Respondtowebhook
- Stickynote
复杂度评估
配置难度:
维护难度:
扩展性:
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器(可选)
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制:
- 网络超时自动重试(最多3次)
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作