8
n8n 中文网amn8n.com

支持总监代理与客户支持团队

高级

这是一个Support Chatbot, AI Chatbot领域的自动化工作流，包含 18 个节点。主要使用 Agent, AgentTool, ToolThink, ChatTrigger, LmChatOpenAi 等节点。 基于 OpenAI O3 + GPT-4.1-mini 多代理团队的全面客户支持

前置要求
  • •OpenAI API Key

使用的节点 (18)

StickyNote
Agent
AgentTool
ToolThink
ChatTrigger
LmChatOpenAi

分类

客服机器人
AI 聊天机器人
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
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": "12e6f290a974a1eee154f8d915aade185e90e826260e6aeab8a087ba7386a1bc",
    "templateCredsSetupCompleted": true
  },
  "name": "Support Director Agent with Customer Support Team",
  "nodes": [
    {
      "id": "support-chat-trigger",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -2864,
        -576
      ],
      "webhookId": "support-webhook-id",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "support-director-agent",
      "name": "Support Director Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -2640,
        -816
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 2.1
    },
    {
      "id": "support-think",
      "name": "Think",
      "type": "@n8n/n8n-nodes-langchain.toolThink",
      "position": [
        -2512,
        -496
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "tier1-agent",
      "name": "Tier 1 Support Agent",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -2240,
        -96
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in first-line customer support, basic troubleshooting, account assistance, and general inquiries"
      },
      "typeVersion": 2.2
    },
    {
      "id": "technical-agent",
      "name": "Technical Support Specialist",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1280,
        -704
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in complex technical issues, API debugging, integration problems, and advanced troubleshooting"
      },
      "typeVersion": 2.2
    },
    {
      "id": "success-agent",
      "name": "Customer Success Advocate",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1840,
        -304
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in customer onboarding, feature adoption, account health monitoring, and retention strategies"
      },
      "typeVersion": 2.2
    },
    {
      "id": "knowledge-agent",
      "name": "Knowledge Base Manager",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1328,
        -80
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in creating help articles, FAQs, documentation, and knowledge management"
      },
      "typeVersion": 2.2
    },
    {
      "id": "escalation-agent",
      "name": "Escalation Handler",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1744,
        -1024
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in handling escalated complaints, priority issues, VIP customer problems, and crisis management"
      },
      "typeVersion": 2.2
    },
    {
      "id": "qa-agent",
      "name": "Quality Assurance Specialist",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1344,
        -1264
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in support quality monitoring, response evaluation, team performance analysis, and improvement recommendations"
      },
      "typeVersion": 2.2
    },
    {
      "id": "director-model",
      "name": "OpenAI Chat Model Director",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -2672,
        -496
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "o3",
          "cachedResultName": "o3"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "tier1-model",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -2208,
        368
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "technical-model",
      "name": "OpenAI Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1312,
        -496
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "success-model",
      "name": "OpenAI Chat Model3",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1824,
        -144
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "knowledge-model",
      "name": "OpenAI Chat Model4",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1328,
        96
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "escalation-model",
      "name": "OpenAI Chat Model5",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1776,
        -768
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "qa-model",
      "name": "OpenAI Chat Model6",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1312,
        -944
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "header-sticky",
      "name": "Sticky Note Header",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3808,
        -880
      ],
      "parameters": {
        "color": 5,
        "width": 580,
        "height": 320,
        "content": "=======================================\n  SUPPORT DIRECTOR WITH CUSTOMER SUPPORT TEAM\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n======================================="
      },
      "typeVersion": 1
    },
    {
      "id": "main-sticky",
      "name": "Sticky Note Main",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3808,
        -544
      ],
      "parameters": {
        "color": 5,
        "width": 740,
        "height": 2500,
        "content": "## 🧠 **SUPPORT DIRECTOR WITH CUSTOMER SUPPORT TEAM - AI WORKFLOW**\n\n**🔥 Powered by OpenAI O3 & GPT-4.1-mini Multi-Agent System**\n\n#CustomerSupport #ServiceExcellence #n8nWorkflows #OpenAI #SupportAutomation\n\n---\n\n### 📝 **Overview**\n\nThis multi-agent n8n automation simulates a complete customer support department. A strategic Support Director agent receives your chat input, analyzes support needs, and delegates to specialized agents for tier 1 support, technical assistance, customer success, knowledge management, escalations, and quality assurance—delivering comprehensive customer service solutions instantly.\n\n---\n\n### ⚙️ **How It Works**\n\n1. **Chat trigger** receives support requests (e.g., \"Customer can't connect to API\")\n2. **Support Director Agent** (O3) analyzes request and determines required support functions\n3. Delegates to specialist agents:\n   - Tier 1 Support Agent\n   - Technical Support Specialist\n   - Customer Success Advocate\n   - Knowledge Base Manager\n   - Escalation Handler\n   - Quality Assurance Specialist\n4. Each agent uses **GPT-4.1-mini** for fast, focused execution\n5. Results compiled and returned via chat or integrated with support systems\n\n---\n\n### 👥 **Meet Your AI Support Team**\n\n| Agent | Purpose | Model | Output |\n|-------|---------|-------|--------|\n| 🧠 **Support Director** | Strategic support oversight & delegation | O3 | Central command |\n| 🎯 **Tier 1 Support** | Basic troubleshooting, account help | GPT-4.1-mini | First-line solutions |\n| 🔧 **Technical Specialist** | Complex technical issues, API support | GPT-4.1-mini | Technical resolutions |\n| 🎓 **Customer Success** | Onboarding, adoption, retention | GPT-4.1-mini | Success strategies |\n| 📚 **Knowledge Manager** | Documentation, FAQs, help articles | GPT-4.1-mini | Knowledge content |\n| 🚨 **Escalation Handler** | Priority issues, VIP customers | GPT-4.1-mini | Crisis management |\n| ⭐ **QA Specialist** | Quality monitoring, performance analysis | GPT-4.1-mini | Quality insights |\n\n---\n\n### 💡 **Use Cases**\n\n- **Complete Support Cycle**: Inquiry → Triage → Resolution → Follow-up\n- **Technical Documentation**: API guides, troubleshooting manuals\n- **Customer Onboarding**: Welcome sequences, feature tours, training\n- **Escalation Management**: VIP support, complaint resolution\n- **Quality Monitoring**: Response evaluation, team performance\n- **Knowledge Base**: Self-service content, FAQ optimization\n\n---\n\n### 💸 **Cost Optimization**\n\n- **O3 for Director**: Strategic decisions only\n- **GPT-4.1-mini for specialists**: 90% cost reduction\n- **Parallel processing**: All agents work simultaneously\n- **Solution caching**: Reuse common support responses\n\n---\n\n### 🏷️ **Tags**\n\n#CustomerSupport #HelpDesk #TechnicalSupport #CustomerSuccess #SupportAutomation\n#QualityAssurance #KnowledgeManagement #EscalationManagement #ServiceExcellence\n#CustomerExperience #n8n #OpenAI #MultiAgentSystem #SupportTech #CX"
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "support-think": {
      "ai_tool": [
        [
          {
            "node": "support-director-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "escalation-agent": {
      "ai_tool": [
        [
          {
            "node": "support-director-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "tier1-model": {
      "ai_languageModel": [
        [
          {
            "node": "tier1-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "technical-model": {
      "ai_languageModel": [
        [
          {
            "node": "technical-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "success-model": {
      "ai_languageModel": [
        [
          {
            "node": "success-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "knowledge-model": {
      "ai_languageModel": [
        [
          {
            "node": "knowledge-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "escalation-model": {
      "ai_languageModel": [
        [
          {
            "node": "escalation-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "qa-model": {
      "ai_languageModel": [
        [
          {
            "node": "qa-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "tier1-agent": {
      "ai_tool": [
        [
          {
            "node": "support-director-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "knowledge-agent": {
      "ai_tool": [
        [
          {
            "node": "support-director-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "success-agent": {
      "ai_tool": [
        [
          {
            "node": "support-director-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "director-model": {
      "ai_languageModel": [
        [
          {
            "node": "support-director-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "support-chat-trigger": {
      "main": [
        [
          {
            "node": "support-director-agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "qa-agent": {
      "ai_tool": [
        [
          {
            "node": "support-director-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "technical-agent": {
      "ai_tool": [
        [
          {
            "node": "support-director-agent",
            "type": "ai_tool",
            "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 - 客服机器人, AI 聊天机器人

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18
分类2
节点类型6
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
Yaron Been

Yaron Been

@yaron-nofluff

Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host If you need any help with Automations, feel free to reach out via linkedin: https://www.linkedin.com/in/yaronbeen/ And check out my Youtube channel: https://www.youtube.com/@YaronBeen/videos

外部链接
在 n8n.io 查看 →

分享此工作流

分类

多模态 AI
1540
人工智能
1108
内容创作
695
AI 摘要总结
516
营销
419
AI 聊天机器人
251
工程
241
市场调研
203
杂项
193
其他
176
销售
162
IT 运维
156
文档提取
147
AI RAG 检索增强
146
构建模块
144
社交媒体
137
潜在客户开发
125
个人效率
117
开发运维
111
人力资源
101
客户支持
97
客户培育
87
客户关系管理
82
财务
81
产品
77
客服机器人
76
设计
70
工单管理
67
安全运维
57
发票处理
53
加密货币交易
49
文件管理
39
项目管理
35
内部知识库
32

分类: 34