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시스템 트리거 조정기

초급

이것은Engineering, AI분야의자동화 워크플로우로, 5개의 노드를 포함합니다.주로 Gmail, FormTrigger, Agent, LmChatOpenAi, OutputParserStructured 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. GPT-4o 피드백 분석 및 이메일 발송을 통해 AI 대리자 시스템 튜닝

사전 요구사항
  • Google 계정 및 Gmail API 인증 정보
  • OpenAI API Key
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
  "id": "rx7v6helgDYENRs2",
  "meta": {
    "instanceId": "25cd9c9e1e996c71452f1ab7a15c1f1aa174615661f703590b37f8d95476bb1b",
    "templateCredsSetupCompleted": true
  },
  "name": "System Prompt Tuner",
  "tags": [],
  "nodes": [
    {
      "id": "62a0e2bc-7c17-4546-b627-bbedc863a3a0",
      "name": "사용자 입력",
      "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 에이전트",
      "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 채팅 모델",
      "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": "구조화된 출력 파서",
      "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": {
    "355883e9-05c4-47a1-a9f1-37aec5e3a550": {
      "main": [
        [
          {
            "node": "9143224c-c6ab-4e58-8b0c-e95b1f2f00a7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "62a0e2bc-7c17-4546-b627-bbedc863a3a0": {
      "main": [
        [
          {
            "node": "355883e9-05c4-47a1-a9f1-37aec5e3a550",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "b869ffde-2392-4465-8092-9fbbbc9853b0": {
      "ai_languageModel": [
        [
          {
            "node": "355883e9-05c4-47a1-a9f1-37aec5e3a550",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "315ef666-e3cc-4b75-9ec3-4a0c8f4938a0": {
      "ai_outputParser": [
        [
          {
            "node": "355883e9-05c4-47a1-a9f1-37aec5e3a550",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    }
  }
}
자주 묻는 질문

이 워크플로우를 어떻게 사용하나요?

위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.

이 워크플로우는 어떤 시나리오에 적합한가요?

초급 - 엔지니어링, 인공지능

유료인가요?

이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.

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