{
  "workflow": {
    "id": 5160,
    "name": "🤖 Build resilient AI workflows with automatic GPT and Gemini failover chain",
    "views": 1885,
    "recentViews": 0,
    "totalViews": 1885,
    "createdAt": "2025-06-23T16:33:43.301Z",
    "description": "*This workflow contains community nodes that are only compatible with the self-hosted version of n8n.*\n\n### How it works\n\nThis workflow demonstrates how to create a resilient AI Agent that automatically falls back to a different language model if the primary one fails. This is useful for handling API errors, rate limits, or model outages without interrupting your process.\n\n1.  **State Initialization:** The `Agent Variables` node initializes a `fail_count` to 0. This counter tracks how many models have been attempted.\n2.  **Dynamic Model Selection:** The `Fallback Models` (a LangChain Code node) acts as a router. It receives a list of all connected AI models and, based on the current `fail_count`, selects which one to use for this attempt (0 for the first model, 1 for the second, etc.).\n3.  **Agent Execution:** The `AI Agent` node attempts to run your prompt using the model selected by the router.\n4.  **The Fallback Loop:**\n    *   **On Success:** The workflow completes successfully.\n    *   **On Error:** If the `AI Agent` node fails, its \"On Error\" output is triggered. This path loops back to the `Agent Variables` node, which increments the `fail_count` by 1. The process then repeats, causing the `Fallback Models` router to select the *next* model in the list.\n5.  **Final Failure:** If all connected models are tried and fail, the workflow will stop with an error.\n\n### Set up steps\n\n**Setup time: ~3-5 minutes**\n\n1.  **Configure Credentials:** Ensure you have the necessary credentials (e.g., for OpenAI, Google AI) configured in your n8n instance.\n2.  **Define Your Model Chain:**\n    *   Add the AI model nodes you want to use to the canvas (e.g., OpenAI, Google Gemini, Anthropic).\n    *   Connect them to the **`Fallback Models`** node.\n    *   **Important:** The order in which you connect the models determines the fallback order. The model nodes first created/connected will be tried first.\n3.  **Set Your Prompt:** Open the **`AI Agent`** node and enter the prompt you want to execute.\n4.  **Test:** Run the workflow. To test the fallback logic, you can temporarily disable the `First Model` node or configure it with invalid credentials to force an error.",
    "workflow": {
      "meta": {
        "creator": "Lucas Peyrin",
        "instanceId": "e409ea34548a2afe2dffba31130cd1cf2e98ebe2afaeed2a63caf2a0582d1da0",
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          "id": "180a023e-a350-4315-a7f2-968d052f634d",
          "cid": "Ikx1Y2FzIFBleXJpbiI",
          "name": "AI Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "onError": "continueErrorOutput",
          "position": [
            288,
            -16
          ],
          "parameters": {
            "text": "Only output \"test\".",
            "options": {},
            "promptType": "define"
          },
          "typeVersion": 2
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          "id": "32f3f1ad-8e72-427b-9bcf-0686ae3c4c5c",
          "cid": "Ikx1Y2FzIFBleXJpbiI",
          "name": "Agent Variables",
          "type": "n8n-nodes-base.set",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "position": [
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            -16
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
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                  "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",
          "cid": "Ikx1Y2FzIFBleXJpbiI",
          "name": "Fallback Models",
          "type": "@n8n/n8n-nodes-langchain.code",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "position": [
            288,
            512
          ],
          "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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          "name": "First Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "position": [
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          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o",
              "cachedResultName": "gpt-4o"
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            "options": {}
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          "name": "Falback Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "position": [
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          "parameters": {
            "options": {},
            "modelName": "models/gemma-3-27b-it"
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          "cid": "Ikx1Y2FzIFBleXJpbiI",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "position": [
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            208
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          "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",
          "cid": "Ikx1Y2FzIFBleXJpbiI",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "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
        },
        {
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          "cid": "Ikx1Y2FzIFBleXJpbiI",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "position": [
            -176,
            -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",
          "cid": "Ikx1Y2FzIFBleXJpbiI",
          "name": "Manual Trigger",
          "type": "n8n-nodes-base.manualTrigger",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "position": [
            -320,
            -16
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
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          "cid": "Ikx1Y2FzIFBleXJpbiI",
          "name": "Sticky Note10",
          "type": "n8n-nodes-base.stickyNote",
          "notes": "© 2025 Lucas Peyrin",
          "creator": "Lucas Peyrin",
          "position": [
            704,
            -240
          ],
          "parameters": {
            "color": 4,
            "width": 540,
            "height": 800,
            "content": "## Was this helpful? Let me know!\n\nI really hope this template helped you understand how Langchain code works here in n8n. Your feedback is incredibly valuable and helps me create better resources for the n8n community.\n\n### **Share Your Thoughts & Ideas**\n\nWhether you have a suggestion, found a typo, or just want to say thanks, I'd love to hear from you!\nHere's a simple n8n form built for this purpose:\n\n#### ➡️ **[Click here to give feedback](https://api.ia2s.app/form/templates/feedback?template=Fallback%20Agent)**\n\n### **Ready to Build Something Great?**\n\nIf you're looking to take your n8n skills or business automation to the next level, I can help.\n\n**🎓 n8n Coaching:** Want to become an n8n pro? I offer one-on-one coaching sessions to help you master workflows, tackle specific problems, and build with confidence.\n#### ➡️ **[Book a Coaching Session](https://api.ia2s.app/form/templates/coaching?template=Fallback%20Agent)**\n\n**💼 n8n Consulting:** Have a complex project, an integration challenge, or need a custom workflow built for your business? Let's work together to create a powerful automation solution.\n#### ➡️ **[Inquire About Consulting Services](https://api.ia2s.app/form/templates/consulting?template=Fallback%20Agent)**\n\n---\n\nHappy Automating!\nLucas Peyrin"
          },
          "typeVersion": 1
        }
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      "pinData": {},
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            [
              {
                "node": "Agent Variables",
                "type": "main",
                "index": 0
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        },
        "First Model": {
          "ai_languageModel": [
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              {
                "node": "Fallback Models",
                "type": "ai_languageModel",
                "index": 0
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            ]
          ]
        },
        "Falback Model": {
          "ai_languageModel": [
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              {
                "node": "Fallback Models",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Manual Trigger": {
          "main": [
            [
              {
                "node": "Agent Variables",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Agent Variables": {
          "main": [
            [
              {
                "node": "AI Agent",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Fallback Models": {
          "ai_languageModel": [
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              {
                "node": "AI Agent",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        }
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    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
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    "status": "published",
    "user": {
      "name": "Lucas Peyrin",
      "username": "lucaspeyrin",
      "bio": "Innovative builder with a passion for crafting automation solutions that solve real-world challenges. From streamlining workflows to driving efficiency, my work empowers teams and individuals to achieve more with less effort. Experienced in developing scalable tools and strategies that deliver results with n8n, supabase and cline.\n\nGet your Free n8n PDF Audit:",
      "verified": true,
      "links": [
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