8
n8n 中文网amn8n.com

系统提示调谐器

初级

这是一个Engineering, AI领域的自动化工作流,包含 5 个节点。主要使用 Gmail, FormTrigger, Agent, LmChatOpenAi, OutputParserStructured 等节点,结合人工智能技术实现智能自动化。 通过GPT-4o反馈分析和邮件发送优化AI代理系统提示

前置要求
  • Google 账号和 Gmail API 凭证
  • OpenAI 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": "rx7v6helgDYENRs2",
  "meta": {
    "instanceId": "25cd9c9e1e996c71452f1ab7a15c1f1aa174615661f703590b37f8d95476bb1b",
    "templateCredsSetupCompleted": true
  },
  "name": "系统提示调谐器",
  "tags": [],
  "nodes": [
    {
      "id": "62a0e2bc-7c17-4546-b627-bbedc863a3a0",
      "name": "用户输入",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -460,
        -80
      ],
      "webhookId": "cb20401c-ade4-45ce-912e-15956449ca3d",
      "parameters": {
        "options": {
          "buttonLabel": "Send For Evaluation"
        },
        "formTitle": "Agent Prompt Tuner",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Agent Name",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Agent Purpose",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "What's Working?",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "What's Not Working?",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Current System Prompt",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Sample Input (Prompt)"
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Example Output"
            }
          ]
        },
        "formDescription": "Enhances autonomous agent system prompts based on user provided descriptions of behavior and examples "
      },
      "typeVersion": 2.2
    },
    {
      "id": "355883e9-05c4-47a1-a9f1-37aec5e3a550",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -240,
        -80
      ],
      "parameters": {
        "text": "=Here is the information for your analysis:\n\nAgent Name: {{ $json['Agent Name'] }}\n\nAgent Purpose: {{ $json['Agent Purpose'] }}\n\nCurrent System Prompt: {{ $json['Current System Prompt'] }}\n\nHere is how I would evaluate its current performance.\n\nThis is working well: {{ $json['What\\'s Working?'] }}\n\nThis is what's going wrong: {{ $json['What\\'s Not Working?'] }}\n\nHere's an examlple of a prompt I wrote and the output I received. If the following section is blank, please disregard it. Otherwise, consider it in your evaluation:\n\nSample prompt: {{ $json['Sample Input (Prompt)'] }}\n\nThe prompt generated the following output:\n\n{{ $json['Example Output'] }}\n\n\nPlease generate the improved system prompt ensuring that your response adheres to the JSON formatting instruction.",
        "options": {
          "systemMessage": "You are an expert AI prompt engineer. \n\nYour task is to receive a set of observations about how a specific AI agent is performing. These observations include:\n\n* The name of the AI agent\n* A short description of the agent's intended purpose\n* A description of what *is* working well\n* A description of what *is not* working as expected\n* (Optionally) An example output from the current version of the agent\n\nUsing this information, your task is to analyze the shortcomings or gaps in the agent's behavior and generate a revised, full **system prompt** intended to improve its performance and address the identified issues.\n\nYour response should be in **JSON** format with the following fields:\n\n```json\n{\n  \"updated_system_prompt\": \"The full improved system prompt, rewritten from scratch or as a modification of the implied original\",\n  \"summary_of_improvements\": \"A short explanation of what was changed or improved and why\"\n}\n```\n\nYou must:\n\n* Use clear and specific instructions in the new system prompt.\n* Preserve functionality that is working well.\n* Directly address behaviors that need correction.\n* Avoid vague language and ensure the new prompt is actionable and well-structured.\n\nDo not include any commentary outside the JSON response."
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.9
    },
    {
      "id": "b869ffde-2392-4465-8092-9fbbbc9853b0",
      "name": "OpenAI 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -380,
        120
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "***",
          "name": "OpenAI Chat"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "315ef666-e3cc-4b75-9ec3-4a0c8f4938a0",
      "name": "结构化输出解析器",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        -80,
        140
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"updated_system_prompt\": \"The full improved system prompt, rewritten from scratch or as a modification of the implied original\",\n  \"summary_of_improvements\": \"A short explanation of what was changed or improved and why\"\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "9143224c-c6ab-4e58-8b0c-e95b1f2f00a7",
      "name": "Gmail",
      "type": "n8n-nodes-base.gmail",
      "position": [
        120,
        -100
      ],
      "webhookId": "aa0e272c-96f6-465d-9f3c-555851974937",
      "parameters": {
        "sendTo": "user@example.com",
        "message": "=<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n  <meta charset=\"UTF-8\">\n  <title>AI System Prompt Improvement Notification</title>\n  <style>\n    body { font-family: Arial, sans-serif; line-height: 1.6; color: #333; background-color: #f9f9f9; padding: 20px; }\n    .container { background-color: #ffffff; border-radius: 8px; padding: 24px; max-width: 700px; margin: auto; box-shadow: 0 0 10px rgba(0,0,0,0.05); }\n    h2 { color: #2c3e50; border-bottom: 1px solid #ddd; padding-bottom: 4px; }\n    pre { background-color: #f4f4f4; padding: 12px; border-radius: 4px; overflow-x: auto; font-family: monospace; }\n    .footer { margin-top: 30px; font-size: 0.9em; color: #777; }\n  </style>\n</head>\n<body>\n  <div class=\"container\">\n    <p>Hi there!</p>\n    <p>You asked the <strong>AI System Prompt Improvement Agent</strong> to review the system prompt for <strong>{{ $('User inputs').item.json['Agent Name'] }}</strong>.</p>\n    <h2>✅ Recommended Updated System Prompt</h2>\n    <pre>{{ $json.output.updated_system_prompt }}</pre>\n    <h2>📄 Original System Prompt</h2>\n    <pre>{{ $('User inputs').item.json['Current System Prompt'] }}</pre>\n    <h2>✏️ Summary of Improvements</h2>\n    <p>{{ $json.output.summary_of_improvements }}</p>\n    <div class=\"footer\">\n      Regards,<br>\n      <strong>AI Improvement Agent</strong>\n    </div>\n  </div>\n</body>\n</html>",
        "subject": "=Improved prompt for: {{ $('User inputs').item.json['Agent Name'] }}"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "***",
          "name": "Redacted Gmail OAuth"
        }
      },
      "typeVersion": 2.1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "447d5b7f-6409-4470-aac7-be8e36c9e34d",
  "connections": {
    "AI Agent": {
      "main": [
        [
          {
            "node": "Gmail",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "User inputs": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "AI Agent",
            "type": "ai_outputParser",
            "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?

初级 - 工程, 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。

工作流信息
难度等级
初级
节点数量5
分类2
节点类型5
难度说明

适合 n8n 新手,包含 1-5 个节点的简单工作流

外部链接
在 n8n.io 查看

分享此工作流