代理 AI Anthropic Opus 4 和 Sonnet 4

中级

这是一个Engineering、AI领域的自动化工作流,包含 11 个节点。主要使用 Agent、HttpRequestTool、ToolThink、ChatTrigger、ToolCalculator 等节点,结合人工智能技术实现智能自动化。 Anthropic AI 代理:Claude Sonnet 4 和 Opus 4,具备思考和网络搜索工具

前置要求
  • 可能需要目标 API 的认证凭证
  • Anthropic 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
{
  "id": "qjLD1os0l5ISHRFO",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "代理 AI Anthropic Opus 4 和 Sonnet 4",
  "tags": [],
  "nodes": [
    {
      "id": "4f01cd9b-16b6-4b6a-a55b-64531e867dcc",
      "name": "当收到聊天消息时",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        20,
        60
      ],
      "webhookId": "a0032740-26d8-491b-93f9-2250906d0e17",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "c0a5e6b1-9c43-4f92-884e-95b1e91ff54a",
      "name": "多表:您可以连接多个表以实现有组织的数据结构",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        420,
        280
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"prompt\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"model\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "e46a6a64-8875-44f0-830e-febebaa10dd7",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        20,
        -180
      ],
      "parameters": {
        "width": 840,
        "height": 180,
        "content": "## 动态模型选择器以实现最佳 AI 响应"
      },
      "typeVersion": 1
    },
    {
      "id": "0f4208aa-c4f5-44aa-ba43-4c3143751a79",
      "name": "AI 代理",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        600,
        60
      ],
      "parameters": {
        "text": "={{ $json.output.prompt }}",
        "options": {
          "systemMessage": "=You have access to a web_search tool that allows you to browse the internet for up-to-date information. Here's how you should operate:\n\n1. Website Information:\nFamiliarize yourself with this information about the website you're assisting. Use this as context for user interactions.\n\n2. Web Search Tool:\nYou have access to a web_search tool that can browse the internet. To use it, write the variable {web_search_question}. The tool will return relevant search results. Set the variable {model} to {{ $json.output.model }}.\n\n3. Handling User Queries:\nWhen a user asks a question, follow these steps:\na) Analyze the query to determine if it's related to the website or requires external information.\nb) If the query is about the website, use the provided website information to answer.\nc) If external information is needed, use the web_search tool to find relevant data.\n\n4. Using web_search:\n- Use web_search for factual, current information that isn't provided in the website info.\n- Formulate clear, concise search queries.\n- If the first search doesn't yield useful results, refine your query and search again.\n- Limit searches to a maximum of three per user query to maintain efficiency.\n\n5. Using Think:\n- Using Think tool to think about something. It will not obtain new information or change the database, but just append the thought to the log. Use it when complex reasoning or some cache memory is needed.\n\n6. Formulating Responses:\n- Begin with information from the website if relevant.\n- Incorporate web search results to provide up-to-date, accurate information.\n- Summarize findings concisely and coherently.\n- If you're unsure or can't find reliable information, be honest about limitations.\n\n7. Ethical Considerations:\n- Respect user privacy. Don't ask for or store personal information.\n- Provide factual information. Avoid speculation or unverified claims.\n- If asked about controversial topics, strive for a balanced, neutral response.\n- Don't engage in or encourage illegal activities.\n\n8. Output Format:\nDo not include your thought process, web searches, or any other tags in the final output.\n"
        },
        "promptType": "define"
      },
      "typeVersion": 1.9
    },
    {
      "id": "0e08600f-f35c-408a-9b8a-f886aeea37d6",
      "name": "思考",
      "type": "@n8n/n8n-nodes-langchain.toolThink",
      "position": [
        800,
        280
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "5adf09be-e278-49f0-bb66-d7e3d265b120",
      "name": "计算器",
      "type": "@n8n/n8n-nodes-langchain.toolCalculator",
      "position": [
        900,
        280
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d5fa04bf-e40b-41d7-9d48-c71cd7ced93f",
      "name": "Anthropic 路由代理",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        240,
        60
      ],
      "parameters": {
        "options": {
          "systemMessage": "=You are a **Routing Agent**.\n\nYour task is to analyze user queries and determine the most appropriate model to handle each specific use case.\n\n## Available Models\n\nYou have access to the following models:\n\n1. **claude-sonnet-4-20250514**\n2. **claude-opus-4-20250514**\n\n## Model Strengths\n\n### 1. claude-sonnet-4-20250514\n- Standard decision-making tasks\n- Real-time workflow routing\n- Data validation and processing\n- Pattern recognition in structured data\n- Routine business logic evaluation\n\n### 2. claude-sonnet-4-20250514\n- Complex multi-factor decision scenarios\n- Advanced data analysis requiring deep reasoning\n- Critical business decisions with high impact\n- Complex pattern recognition in unstructured data\n- Strategic workflow optimization\n\n## Output Format\n\nYour output must always be a valid JSON object in the following format:\n\n```json\n{\n  \"prompt\": \"user query goes here\",\n  \"model\": \"selected-model-name\"\n}\n```\n\n- The **\"prompt\"** field should contain the exact query to be sent to the selected model.\n- The **\"model\"** field should contain the model name (one of: claude-sonnet-4-20250514, claude-opus-4-20250514).\n\n**Important:** Only return the JSON object. Do not include any explanations or additional text."
        },
        "hasOutputParser": true
      },
      "typeVersion": 1.9
    },
    {
      "id": "0f358356-37d4-4693-a694-382a8bc1b20f",
      "name": "Sonnet 4 或 Opus 4",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        600,
        280
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.output.model }}"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "NNTZAD0Gmf7lcniq",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "c92104a6-9aa4-4a55-84b1-484df25f83ac",
      "name": "Sonnet 3.7",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        220,
        280
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-3-7-sonnet-20250219",
          "cachedResultName": "Claude Sonnet 3.7"
        },
        "options": {
          "maxTokensToSample": 1024
        }
      },
      "credentials": {
        "anthropicApi": {
          "id": "NNTZAD0Gmf7lcniq",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "513642ef-b4d6-46fc-8542-319dd54271f8",
      "name": "简单记忆1",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        720,
        280
      ],
      "parameters": {
        "sessionKey": "={{ $('When chat message received').item.json.sessionId }}",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.3
    },
    {
      "id": "6c81dcd9-7faf-4b34-8e78-a471de80fa1e",
      "name": "网络搜索",
      "type": "n8n-nodes-base.httpRequestTool",
      "position": [
        1020,
        280
      ],
      "parameters": {
        "url": "https://api.anthropic.com/v1/messages",
        "method": "POST",
        "options": {},
        "jsonBody": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('JSON', `{\n  \"model\": \"{model}\",\n  \"max_tokens\": 1024,\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"{web_search_question}\"\n    }\n  ],\n  \"tools\": [\n    {\n      \"type\": \"web_search_20250305\",\n      \"name\": \"web_search\",\n      \"max_uses\": 5\n    }\n  ]\n}\n`, 'json') }}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "toolDescription": "Use this tool to search on the web",
        "headerParameters": {
          "parameters": [
            {
              "name": "anthropic-version",
              "value": "=2023-06-01"
            },
            {
              "name": "content-type",
              "value": "application/json"
            }
          ]
        },
        "nodeCredentialType": "anthropicApi"
      },
      "credentials": {
        "anthropicApi": {
          "id": "NNTZAD0Gmf7lcniq",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 4.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "c0947a41-be77-4ac0-89e2-eb8cf04b7c48",
  "connections": {
    "Think": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Calculator": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Sonnet 3.7": {
      "ai_languageModel": [
        [
          {
            "node": "Anthropic Routing Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "web_search": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory1": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Sonnet 4 or Opus 4": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Anthropic Routing Agent": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Anthropic Routing Agent",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "Anthropic Routing Agent",
            "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?

这是一个中级难度的工作流,适用于Engineering、AI等场景。适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

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。

工作流信息
难度等级
中级
节点数量11
分类2
节点类型9
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

作者

Full-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza

外部链接
在 n8n.io 上查看 →

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