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动态切换LLM模板

高级

这是一个Engineering, Building Blocks, AI领域的自动化工作流，包含 22 个节点。主要使用 If, Set, Code, ChainLlm, ChatTrigger 等节点，结合人工智能技术实现智能自动化。 使用LangChain代码在AI代理之间动态切换LLM

前置要求
  • •OpenAI API Key

使用的节点 (22)

If
Set
NoOp
StickyNote
Code
ChainLlm
ChatTrigger
LmChatOpenAi
SentimentAnalysis

分类

工程
构建模块
人工智能
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
{
  "id": "dQC8kExvbCrovWf0",
  "meta": {
    "instanceId": "fb8bc2e315f7f03c97140b30aa454a27bc7883a19000fa1da6e6b571bf56ad6d",
    "templateCredsSetupCompleted": true
  },
  "name": "动态切换 LLM 模板",
  "tags": [],
  "nodes": [
    {
      "id": "962c4b29-c244-4d68-93e1-cacd41b436fc",
      "name": "当收到聊天消息时",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        220,
        80
      ],
      "webhookId": "713a7f98-0e3d-4eb7-aafa-599ca627c8b4",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "6fc4f336-09e3-4e79-94e9-e5eff04e4089",
      "name": "切换模型",
      "type": "@n8n/n8n-nodes-langchain.code",
      "position": [
        540,
        320
      ],
      "parameters": {
        "code": {
          "supplyData": {
            "code": "let llms = await this.getInputConnectionData('ai_languageModel', 0);\nllms.reverse(); // reverse array, so the order matches the UI elements\n\nconst llm_index = $input.item.json.llm_index;\nif (!Number.isInteger(llm_index)) {\n  console.log(\"'llm_index' is udefined or not a valid integer\");\n  throw new Error(\"'llm_index' is udefined or not a valid integer\");\n}\n\nif(typeof llms[llm_index] === 'undefined') {\n  console.log(`No LLM found with index ${llm_index}`);\n  throw new Error(`No LLM found with index ${llm_index}`);\n}\n\nreturn llms[llm_index];"
          }
        },
        "inputs": {
          "input": [
            {
              "type": "ai_languageModel",
              "required": true
            }
          ]
        },
        "outputs": {
          "output": [
            {
              "type": "ai_languageModel"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "68511483-355b-45c1-915f-e7517c42b809",
      "name": "设置 LLM 索引",
      "type": "n8n-nodes-base.set",
      "position": [
        440,
        80
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "24b4d30e-484a-4cc1-a691-0653ed764296",
              "name": "llm_index",
              "type": "number",
              "value": "={{ $json.llm_index || 0 }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "adc2f24c-0ad6-4057-bb3b-b46563c72ee8",
      "name": "增加 LLM 索引",
      "type": "n8n-nodes-base.set",
      "position": [
        1420,
        -200
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "24b4d30e-484a-4cc1-a691-0653ed764296",
              "name": "llm_index",
              "type": "number",
              "value": "={{ $('Set LLM index').item.json.llm_index + 1 }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "eace2dd7-9550-47ba-a4c3-4f065f80757b",
      "name": "无操作，不执行任何操作",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1640,
        540
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "c1735d1c-5dc4-4bd5-9dde-3bb04b8811c3",
      "name": "检查预期错误",
      "type": "n8n-nodes-base.if",
      "position": [
        1040,
        160
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "3253e1f2-172e-4af4-a492-3b9c6e9e4797",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.error }}",
              "rightValue": "Error in sub-node Switch Model"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "4a259078-aa74-4725-9e91-d2775bbd577f",
      "name": "循环完成但无结果",
      "type": "n8n-nodes-base.set",
      "position": [
        1260,
        60
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "b352627d-d692-47f8-8f8c-885b68073843",
              "name": "output",
              "type": "string",
              "value": "The loop finished without a satisfying result"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "3b527ed3-a700-403d-8e3c-d0d55a83c9ea",
      "name": "意外错误",
      "type": "n8n-nodes-base.set",
      "position": [
        1260,
        260
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "b352627d-d692-47f8-8f8c-885b68073843",
              "name": "output",
              "type": "string",
              "value": "An unexpected error happened"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "2a48a244-25ab-4330-9e89-3f8a52b7fd0a",
      "name": "返回结果",
      "type": "n8n-nodes-base.set",
      "position": [
        1420,
        -460
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "b352627d-d692-47f8-8f8c-885b68073843",
              "name": "output",
              "type": "string",
              "value": "={{ $json.text || $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "79da2795-800a-423d-ad5b-ec3b0498a5e6",
      "name": "OpenAI 4o-mini",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        460,
        580
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "X7Jf0zECd3IkQdSw",
          "name": "OpenAi (octionicsolutions)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "c5884632-4f21-4e1e-a86d-77e3b18119b9",
      "name": "OpenAI 4o",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        640,
        580
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "X7Jf0zECd3IkQdSw",
          "name": "OpenAi (octionicsolutions)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "0693ac6a-fd1e-4a1f-b7be-bd4a1021b6c1",
      "name": "OpenAI o1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        820,
        580
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "o1",
          "cachedResultName": "o1"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "X7Jf0zECd3IkQdSw",
          "name": "OpenAi (octionicsolutions)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "f9fa467a-804d-4abf-84e3-06a88f9142b4",
      "name": "OpenAI 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1100,
        -100
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "X7Jf0zECd3IkQdSw",
          "name": "OpenAi (octionicsolutions)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "7c6bf364-1844-484f-8a1c-1ff87286c686",
      "name": "验证响应",
      "type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
      "position": [
        1040,
        -300
      ],
      "parameters": {
        "options": {
          "categories": "pass, fail",
          "systemPromptTemplate": "You are a highly intelligent and accurate sentiment analyzer. Analyze the sentiment of the provided text. Categorize it into one of the following: {categories}. Use the provided formatting instructions. Only output the JSON.\n\n> Evaluate the following customer support response. Give a short JSON answer with a field “quality”: “pass” or “fail”. Only return “pass” if the response:\n\n1. Acknowledges both the broken keyboard and the late delivery  \n2. Uses a polite and empathetic tone  \n3. Offers a clear resolution or next step (like refund, replacement, or contact support)"
        },
        "inputText": "={{ $json.text }}"
      },
      "typeVersion": 1
    },
    {
      "id": "a7be0179-e246-4f75-8863-d03eefe9d8ac",
      "name": "生成响应",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "onError": "continueErrorOutput",
      "position": [
        660,
        80
      ],
      "parameters": {
        "text": "={{ $('When chat message received').item.json.chatInput }}",
        "messages": {
          "messageValues": [
            {
              "message": "=You’re an AI assistant replying to a customer who is upset about a faulty product and late delivery. The customer uses sarcasm and is vague. Write a short, polite response, offering help."
            }
          ]
        },
        "promptType": "define"
      },
      "retryOnFail": false,
      "typeVersion": 1.6
    },
    {
      "id": "273f4025-2aeb-4a67-859a-690a3a086f82",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        380,
        -160
      ],
      "parameters": {
        "width": 480,
        "height": 140,
        "content": "### 客户投诉 - 示例"
      },
      "typeVersion": 1
    },
    {
      "id": "a7806fab-fdc2-4feb-be53-fcea81ede105",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        380,
        0
      ],
      "parameters": {
        "color": 7,
        "width": 220,
        "height": 240,
        "content": "根据索引定义要使用的 LLM 节点。"
      },
      "typeVersion": 1
    },
    {
      "id": "0117d8d8-672e-458a-a9dd-30b50e05f343",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        480,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 200,
        "content": "根据前一个节点提供的索引动态连接 LLM。"
      },
      "typeVersion": 1
    },
    {
      "id": "66066bad-4fd3-4e68-88bb-0b95fd9a6e49",
      "name": "便签3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        980,
        60
      ],
      "parameters": {
        "color": 7,
        "width": 220,
        "height": 260,
        "content": "检查 LangChain 代码节点是否遇到错误。_当前仅支持主节点的错误输出_"
      },
      "typeVersion": 1
    },
    {
      "id": "b9101226-0035-4de3-8720-f783d13e0cca",
      "name": "便签说明4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        600,
        0
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 240,
        "content": "根据客户投诉生成礼貌的回复。"
      },
      "typeVersion": 1
    },
    {
      "id": "ee7d70ee-2eb7-494f-ad74-2cb6108ba0ed",
      "name": "便签说明5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        980,
        -360
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 220,
        "content": "根据特定标准分析生成的回复。"
      },
      "typeVersion": 1
    },
    {
      "id": "03bde6f5-27b1-4568-96fb-5ece77d7b2e5",
      "name": "便签 6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1360,
        -280
      ],
      "parameters": {
        "color": 7,
        "width": 220,
        "height": 240,
        "content": "增加索引以便在下次运行时选择下一个可用的 LLM"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "52381ffc-bdf4-4243-bc35-462dedb929bd",
  "connections": {
    "OpenAI 4o": {
      "ai_languageModel": [
        [
          {
            "node": "Switch Model",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI o1": {
      "ai_languageModel": [
        [
          {
            "node": "Switch Model",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Switch Model": {
      "ai_outputParser": [
        []
      ],
      "ai_languageModel": [
        [
          {
            "node": "Generate response",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Set LLM index": {
      "main": [
        [
          {
            "node": "Generate response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI 4o-mini": {
      "ai_languageModel": [
        [
          {
            "node": "Switch Model",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Generate response": {
      "main": [
        [
          {
            "node": "Validate response",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Check for expected error",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Validate response",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Validate response": {
      "main": [
        [
          {
            "node": "Return result",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Increase LLM index",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Increase LLM index": {
      "main": [
        [
          {
            "node": "No Operation, do nothing",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check for expected error": {
      "main": [
        [
          {
            "node": "Loop finished without results",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Unexpected error",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "No Operation, do nothing": {
      "main": [
        [
          {
            "node": "Set LLM index",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "Set LLM index",
            "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 - 工程, 构建模块, 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22
分类3
节点类型9
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
Mario

Workflow Optimization Expert | Software Architect. Use my link to book an initial consultation for custom built workflows using n8n.

外部链接
在 n8n.io 查看 →

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