基于查询复杂度的 Gemini 与 GPT 模型间智能聊天路由
中级
这是一个Content Creation, Multimodal AI领域的自动化工作流,包含 11 个节点。主要使用 Agent, ChatTrigger, LmChatOpenAi, ModelSelector, LmChatGoogleGemini 等节点。 基于查询复杂度的 Gemini 与 GPT 模型间智能聊天路由
前置要求
- •OpenAI API Key
- •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": "3d7eb9567ae690bf8c9bba1cb43396e6e40c18e15eb5889cf9673ed1713da6db",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "77530f0b-8f16-4427-a45c-54c82c66588a",
"name": "模型选择器",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1184,
1904
],
"parameters": {
"text": "={{ $json.chatInput }}",
"options": {
"systemMessage": "=# Overview\nYou are an AI agent responsible for selecting the most suitable large language model to handle a given user request. Determine whether the question is simple or complex.\n\n## Instructions\nAnalyze the user's request and return only a single number based on the complexity of the task.\n\n## Classification Rules\n- **Output 1**: Complex questions requiring deep reasoning, professional writing, research, coding, or multi-step problem solving\n- **Output 2**: Simple questions that are straightforward, conversational, or can be answered quickly\n\n## Output Format\nReturn only one of the following:\n- 1\n- 2\n\nNo explanations, no newline or spaces, no formatting, no extra text. Only the number."
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "9fe14e1d-1f15-4095-b338-c96ef00a9b47",
"name": "当收到聊天消息时",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
976,
1904
],
"webhookId": "2c54aa53-9406-4d0c-9217-d78b8f9cb137",
"parameters": {
"options": {}
},
"typeVersion": 1.3
},
{
"id": "530ca74e-ff27-4400-8527-57e9d62e3a61",
"name": "模型选择器",
"type": "@n8n/n8n-nodes-langchain.modelSelector",
"position": [
1440,
2096
],
"parameters": {
"rules": {
"rule": [
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f7148b18-d2be-4618-a12c-6f144f1eab14",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ $('Model Selector').item.json.output.toNumber() }}",
"rightValue": 1
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c30c1080-35d3-4cf0-a871-8034049d9d10",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ $('Model Selector').item.json.output.toNumber() }}",
"rightValue": 2
}
]
}
}
]
}
},
"typeVersion": 1
},
{
"id": "ba211db9-bf65-4f71-9755-a47ebfea1b86",
"name": "主代理",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1520,
1904
],
"parameters": {
"text": "={{ $('When chat message received').item.json.chatInput }}",
"options": {
"systemMessage": "=Here is the current date/time: {{ $now }}"
},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "6afd02b9-9a79-40fc-a26c-e73b837d3eda",
"name": "4.1 nano",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1488,
2352
],
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "=gpt-4.1-nano"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "ymMvgDroJHalwvRf",
"name": "OpenAI"
}
},
"typeVersion": 1.2
},
{
"id": "83ca2ffd-aff1-482b-b87b-052e9f9cc193",
"name": "2.5 pro",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1440,
2240
],
"parameters": {
"options": {},
"modelName": "=models/gemini-2.5-pro"
},
"credentials": {
"googlePalmApi": {
"id": "7v8o9EaQkl33woxm",
"name": "v9"
}
},
"typeVersion": 1
},
{
"id": "9f603eb2-6ef2-43ef-8519-759eca7e91df",
"name": "2.0 flash",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1184,
2112
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"credentials": {
"googlePalmApi": {
"id": "8XtobpsLkdYQTldy",
"name": "Gemini v6"
}
},
"typeVersion": 1
},
{
"id": "c60c1f49-3732-4307-9538-86fd8b93a58c",
"name": "概述说明",
"type": "n8n-nodes-base.stickyNote",
"position": [
304,
1776
],
"parameters": {
"color": 4,
"width": 600,
"height": 1000,
"content": "# 自适应 LLM 路由器用于优化 AI 聊天响应"
},
"typeVersion": 1
},
{
"id": "00acaca1-2394-4609-bfc0-409c1f281194",
"name": "说明:触发器",
"type": "n8n-nodes-base.stickyNote",
"position": [
928,
2096
],
"parameters": {
"width": 252,
"height": 192,
"content": "## 📥 当收到聊天消息时"
},
"typeVersion": 1
},
{
"id": "fb5bad8f-6436-4a67-b0d5-fe7c2a3a58df",
"name": "说明:分类器",
"type": "n8n-nodes-base.stickyNote",
"position": [
1152,
1712
],
"parameters": {
"color": 2,
"width": 332,
"content": "## 🤖模型选择器"
},
"typeVersion": 1
},
{
"id": "f91cfe72-69c0-4627-b508-0159497317ca",
"name": "说明:主代理",
"type": "n8n-nodes-base.stickyNote",
"position": [
1744,
2048
],
"parameters": {
"color": 5,
"width": 284,
"height": 192,
"content": "## 💬 节点:主代理"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"2.5 pro": {
"ai_languageModel": [
[
{
"node": "Model selector",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"4.1 nano": {
"ai_languageModel": [
[
{
"node": "Model selector",
"type": "ai_languageModel",
"index": 1
}
]
]
},
"2.0 flash": {
"ai_languageModel": [
[
{
"node": "Model Selector",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Model Selector": {
"main": [
[
{
"node": "Main Agent",
"type": "main",
"index": 0
}
]
]
},
"Model selector": {
"ai_languageModel": [
[
{
"node": "Main Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Model Selector",
"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?
中级 - 内容创作, 多模态 AI
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
中级
节点数量11
分类2
节点类型6
作者
Daniel
@daniel-automatesAI Automation Consultant | Helping Business Owners Implement AI Systems for growth and lead gen
外部链接
在 n8n.io 查看 →
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