Google Gemini를 사용하여 AI 힌트 생성 및 Airtable에 저장

• •Airtable API Key
• •Google Gemini API Key

{
  "meta": {
    "instanceId": "db80165df40cb07c0377167c050b3f9ab0b0fb04f0e8cae0dc53f5a8527103ca",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "ed5363cf-1fb6-4662-b12c-073b2b3a3576",
      "name": "채팅 메시지 수신 시",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -240,
        140
      ],
      "webhookId": "ebe97b63-ae4b-40e7-9738-b7cf7ffbc8b6",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "e47a166f-3e70-433e-ad0d-2100309cac92",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        -60,
        500
      ],
      "parameters": {
        "options": {
          "topP": 1
        },
        "modelName": "models/gemini-2.0-flash-lite"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "Xp5T9q3YYxBIw2nd",
          "name": "Google Gemini(PaLM) Api account✅"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5474805f-8d18-4a09-a3ea-5602af97a5de",
      "name": "Auto-fixing Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        500,
        360
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "d9a0eadc-54c7-4980-b4f8-79fd77627c32",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        600,
        520
      ],
      "parameters": {
        "jsonSchemaExample": "{\n\t\"name\": \"Name of the prompt\",\n    \"category\" : \"the prompt category\"\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "898f64cd-2332-42ad-9bac-a817dd9bf3d7",
      "name": "필드 편집",
      "type": "n8n-nodes-base.set",
      "position": [
        220,
        140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "9c5fec90-b7f0-45f3-81a3-22e0956fc3bf",
              "name": "text",
              "type": "string",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "4bbd160a-98bd-4622-a54e-77b61ff91b46",
      "name": "Google Gemini Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        380,
        540
      ],
      "parameters": {
        "options": {
          "topP": 1
        },
        "modelName": "models/gemini-2.0-flash-lite"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "Xp5T9q3YYxBIw2nd",
          "name": "Google Gemini(PaLM) Api account✅"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "f45cbed4-c2b8-4f1b-8026-4686324a714a",
      "name": "결과 반환",
      "type": "n8n-nodes-base.set",
      "position": [
        960,
        140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "40aba86b-57b7-4c74-8e9f-d09cd2f344c5",
              "name": "text",
              "type": "string",
              "value": "={{ $('Generate a new prompt').item.json.text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "25650ec5-b559-4bfc-a95a-f81c674bc680",
      "name": "프롬프트 분류 및 이름 지정",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        360,
        140
      ],
      "parameters": {
        "text": "={{ $json.text }}",
        "messages": {
          "messageValues": [
            {
              "message": "=Categorize the above prompt into a category that it can fall into"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    },
    {
      "id": "c324d952-0722-40aa-981c-fcb2007b43b9",
      "name": "프롬프트 필드 설정",
      "type": "n8n-nodes-base.set",
      "position": [
        660,
        140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "cbf3b587-67fd-4f08-b50f-53561e869827",
              "name": "name",
              "type": "string",
              "value": "={{ $json.output.name }}"
            },
            {
              "id": "7fda5833-9a3b-4c8a-b18d-4c31b35dae94",
              "name": "category",
              "type": "string",
              "value": "={{ $json.output.category }}"
            },
            {
              "id": "50f06ab3-97d5-43cb-83ff-1a6aac45251b",
              "name": "Prompt",
              "type": "string",
              "value": "={{ $('Edit Fields').item.json.text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "97ad8d84-141e-4c21-8ce4-930dbe921f76",
      "name": "airtable에 추가",
      "type": "n8n-nodes-base.airtable",
      "position": [
        800,
        140
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "app994hU3fOw0ssrx",
          "cachedResultUrl": "https://airtable.com/app994hU3fOw0ssrx",
          "cachedResultName": "Prompt Library"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tbldwJrCK2HmAeknA",
          "cachedResultUrl": "https://airtable.com/app994hU3fOw0ssrx/tbldwJrCK2HmAeknA",
          "cachedResultName": "Prompt Library"
        },
        "columns": {
          "value": {
            "Name": "={{ $json.name }}",
            "Prompt": "={{ $json.Prompt }}",
            "Category": "={{ $json.category }}"
          },
          "schema": [
            {
              "id": "Name",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Prompt",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Prompt",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Created ON",
              "type": "string",
              "display": true,
              "removed": true,
              "readOnly": true,
              "required": false,
              "displayName": "Created ON",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Updated",
              "type": "string",
              "display": true,
              "removed": true,
              "readOnly": true,
              "required": false,
              "displayName": "Updated",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Category",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Category",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "create"
      },
      "credentials": {
        "airtableTokenApi": {
          "id": "CAa937hASXcJZWTv",
          "name": "Airtable Personal Access Token account✅"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "516dc434-25d9-4011-9453-bb28521823ca",
      "name": "새 프롬프트 생성",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -80,
        140
      ],
      "parameters": {
        "messages": {
          "messageValues": [
            {
              "message": "=You are an **expert n8n prompt engineer**, specializing in creating highly optimized, context-aware prompts for AI agents in n8n workflows. Your primary goal is to ensure AI agents execute well-defined tasks **accurately, autonomously, and efficiently**.  \n\n### Instructions  \n1. **Define the AI Agent's Role and Rules**  \n   - Use a structured role definition format:  \n     `\"You are a [SPECIFIC ROLE] working for [SPECIFIC BUSINESS CONTEXT].\"`  \n   - Clearly specify the agent's responsibilities and scope.  \n\n2. **Provide Task Instructions**  \n   - Use a **step-by-step** numbered list to outline the process.  \n   - Ensure the instructions allow for flexibility but prevent errors.  \n\n3. **Set Rules to Guide AI Behavior**  \n   - Enumerate key constraints such as:  \n     - Timezone requirements  \n     - Prohibitions on making assumptions  \n     - Required formatting for responses  \n\n4. **Use Few-Shot Prompting**  \n   - Provide clear examples of desired outputs inside `<example>` tags.  \n\n5. **Include Additional Context**  \n   - Define relevant business details, the current date/time, and any required environmental context.  \n\n---\n\n## Input Layer  \n### Structuring User Inputs  \n1. **Define Input Type**  \n   - Specify whether inputs come from a human user (chat-based) or an external system (API calls).  \n\n2. **Handle Dynamic Inputs**  \n   - Use placeholders (e.g., `{customer_name}`, `{appointment_date}`) for adaptable prompts.  \n\n3. **Ensure Personalization**  \n   - Format prompts naturally while maintaining clarity and specificity.  \n\n4. **Merge Static & Dynamic Data**  \n   - Concatenate fixed prompt structures with real-time system data from n8n.  \n\n---\n## Action Layer  \n### Tool and Function Calling  \n1. **Standardized Tool Naming**  \n   - Use `snake_case` names for tools (e.g., `check_calendar_availability`).  \n\n2. **Provide Clear Tool Descriptions**  \n   - Example:  \n     `\"Use the `fetch_customer_data` tool to retrieve details about a specific user based on their email address.\"`  \n\n3. **Specify Tool Parameters & Expected Responses**  \n   - Define required inputs, expected formats, and error handling strategies.  \n\n4. **Avoid Hallucinations**  \n   - AI should **only** use tools for their defined purposes. If information is missing, request clarification instead of guessing.  \n\n---\n## Example Prompt for an AI Agent in n8n  \n\n```yaml\n# System Layer\n## Role\nYou are a **Scheduling Assistant** working for a **beauty salon**. Your role is to help customers book appointments.  \n\n## Instructions\n1. Ask the user for their preferred appointment date.  \n2. Use `check_calendar_availability` to find open slots.  \n3. If no slots are available, ask the user to select another day.  \n4. Capture the user’s **full name** and **email**.  \n5. Use `create_calendar_appointment` to confirm the booking.  \n6. Notify the user with appointment details.  \n\n## Rules\n- Always use **UTC+1 timezone**.  \n- Do not assume details—ask if unsure.  \n- If asked about non-scheduling topics, respond: `\"I can only assist with booking appointments.\"`  \n\n## Few-shot Example  \n<example>\n\"I have successfully booked your appointment:\n- Date & Time: **Wednesday, 15 March 2025, 14:00 (UTC+1)**\n- Booking Email: **jane.doe@example.com**\nIf you need to cancel, please call +49 123 456 789.\"\n</example>\n```\n---\n## Key Considerations  \n✅ **Avoid vague roles** (e.g., \"You are an assistant\"). Always specify **business context**.  \n✅ **Keep task steps structured** but flexible.  \n✅ **Provide explicit tool instructions** in a separate section.  \n✅ **Enable AI to ask clarifying questions** instead of making assumptions.  \n✅ **Use examples to guide expected outputs.**  \n\n\n"
            }
          ]
        }
      },
      "typeVersion": 1.5
    }
  ],
  "pinData": {},
  "connections": {
    "898f64cd-2332-42ad-9bac-a817dd9bf3d7": {
      "main": [
        [
          {
            "node": "25650ec5-b559-4bfc-a95a-f81c674bc680",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "97ad8d84-141e-4c21-8ce4-930dbe921f76": {
      "main": [
        [
          {
            "node": "f45cbed4-c2b8-4f1b-8026-4686324a714a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "c324d952-0722-40aa-981c-fcb2007b43b9": {
      "main": [
        [
          {
            "node": "97ad8d84-141e-4c21-8ce4-930dbe921f76",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "516dc434-25d9-4011-9453-bb28521823ca": {
      "main": [
        [
          {
            "node": "898f64cd-2332-42ad-9bac-a817dd9bf3d7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "e47a166f-3e70-433e-ad0d-2100309cac92": {
      "ai_languageModel": [
        [
          {
            "node": "516dc434-25d9-4011-9453-bb28521823ca",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "d9a0eadc-54c7-4980-b4f8-79fd77627c32": {
      "ai_outputParser": [
        [
          {
            "node": "5474805f-8d18-4a09-a3ea-5602af97a5de",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "5474805f-8d18-4a09-a3ea-5602af97a5de": {
      "ai_outputParser": [
        [
          {
            "node": "25650ec5-b559-4bfc-a95a-f81c674bc680",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "4bbd160a-98bd-4622-a54e-77b61ff91b46": {
      "ai_languageModel": [
        [
          {
            "node": "25650ec5-b559-4bfc-a95a-f81c674bc680",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "5474805f-8d18-4a09-a3ea-5602af97a5de",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "25650ec5-b559-4bfc-a95a-f81c674bc680": {
      "main": [
        [
          {
            "node": "c324d952-0722-40aa-981c-fcb2007b43b9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ed5363cf-1fb6-4662-b12c-073b2b3a3576": {
      "main": [
        [
          {
            "node": "516dc434-25d9-4011-9453-bb28521823ca",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}