자동 GPT와 Gemini 재해당전선을 사용하여 유연한 AI 워크플로우를 구축

• •OpenAI API Key
• •Google Gemini API Key

{
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  "nodes": [
    {
      "id": "180a023e-a350-4315-a7f2-968d052f634d",
      "name": "AI 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "onError": "continueErrorOutput",
      "position": [
        280,
        -20
      ],
      "parameters": {
        "text": "Only output \"test\".",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "32f3f1ad-8e72-427b-9bcf-0686ae3c4c5c",
      "name": "에이전트 Variables",
      "type": "n8n-nodes-base.set",
      "position": [
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      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "38ce3db6-ce1d-4091-9645-39e674ad1782",
              "name": "models",
              "type": "array",
              "value": "[\"gemini-2.5-flash\"]"
            },
            {
              "id": "151da1bf-a82a-40a9-bca2-a85ab48f1c5b",
              "name": "fail_count",
              "type": "number",
              "value": "={{ $('Agent Variables')?.isExecuted ? $('Agent Variables').last()?.json?.fail_count + 1 : 0 }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "2d7804a4-3744-4866-89b2-705bbec66acc",
      "name": "Fallback Models",
      "type": "@n8n/n8n-nodes-langchain.code",
      "position": [
        280,
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      ],
      "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.fail_count;\n\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];"
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              "type": "ai_languageModel"
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    {
      "id": "e3d0d416-2571-4e86-b701-27aee1e5856e",
      "name": "First Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        300,
        700
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
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      "id": "75ce0d64-dcbd-47bf-a15b-802fa979333a",
      "name": "Fallback Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
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        700
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemma-3-27b-it"
      },
      "typeVersion": 1
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    {
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      "name": "메모",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        200,
        200
      ],
      "parameters": {
        "color": 6,
        "width": 420,
        "height": 640,
        "content": "### ⚙️ CONFIGURE YOUR FALLBACK CHAIN HERE ⚙️\n\nThis node selects which AI model to use based on the number of previous failures.\n\n**To set up your models:**\n1.  Add your desired AI model nodes to the canvas (OpenAI, Gemini, Anthropic, etc.).\n2.  Connect them to **THIS** node's `ai_languageModel` input.\n\n\n**IMPORTANT:** The **order** you connect them in is the order they will be tried."
      },
      "typeVersion": 1
    },
    {
      "id": "93797015-159e-4e43-bf72-47f0533e92f1",
      "name": "메모1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        240,
        -240
      ],
      "parameters": {
        "color": 7,
        "width": 340,
        "height": 320,
        "content": "#### 📝 DEFINE YOUR PROMPT HERE\n\nEnter the prompt or task for the AI agent in this node.\n\nIt will dynamically use the models provided one-by-one from the `Fallback Models` node. If it fails, it will automatically retry with the next model in your chain."
      },
      "typeVersion": 1
    },
    {
      "id": "4cedd679-70d3-41a2-9bf5-addf8e146c9a",
      "name": "메모2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -180,
        -240
      ],
      "parameters": {
        "color": 7,
        "width": 400,
        "height": 320,
        "content": "#### 🔁 Loop Controller\n\nThis node manages the retry loop.\n\nIt initializes and increments a `fail_count` variable each time the `AI Agent` fails, which tells the `Fallback Models` node to try the next model in the list.\n\nNo configuration is needed here."
      },
      "typeVersion": 1
    },
    {
      "id": "4b5e9318-16fd-4e69-add6-0edbca278d91",
      "name": "수동 트리거",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -320,
        -20
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "AI Agent": {
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          {
            "node": "Agent Variables",
            "type": "main",
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    "e3d0d416-2571-4e86-b701-27aee1e5856e": {
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            "node": "2d7804a4-3744-4866-89b2-705bbec66acc",
            "type": "ai_languageModel",
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    "75ce0d64-dcbd-47bf-a15b-802fa979333a": {
      "ai_languageModel": [
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            "node": "2d7804a4-3744-4866-89b2-705bbec66acc",
            "type": "ai_languageModel",
            "index": 0
          }
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      ]
    },
    "Manual Trigger": {
      "main": [
        [
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    "Agent Variables": {
      "main": [
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    "2d7804a4-3744-4866-89b2-705bbec66acc": {
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            "type": "ai_languageModel",
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}