Openrouter Key Aggregator - Complete Workflow

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "name": "OpenRouter Key Aggregator - Complete Workflow",
  "nodes": [
    {
      "parameters": {
        "chatInput": "What is the capital of France?"
      },
      "id": "e79c9d4f-d4f7-4fbb-8f40-cfbed31cff65",
      "name": "Manual Input",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        2060,
        1280
      ]
    },
    {
      "parameters": {
        "functionCode": "// Input from previous node or manual input\nconst chatInput = items[0].json.chatInput || \"What is the capital of France?\";\n\n// Format message properly for AI Agent\nreturn [{\n  json: {\n    model: \"deepseek/deepseek-chat-v3-0324:free\",\n    messages: [\n      {\n        role: \"user\",\n        content: chatInput\n      }\n    ]\n  }\n}];"
      },
      "id": "f79c9d4f-d4f7-4fbb-8f40-cfbed31cff65",
      "name": "Format Input",
      "type": "n8n-nodes-base.function",
      "typeVersion": 1,
      "position": [
        2260,
        1280
      ]
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "value": "deepseek/deepseek-chat-v3-0324:free",
          "mode": "list",
          "cachedResultName": "deepseek/deepseek-chat-v3-0324:free"
        },
        "options": {}
      },
      "id": "0414f7d4-f79f-4fbb-8f40-cfbed31cff65",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "position": [
        2460,
        1280
      ],
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "functionCode": "// Input from the OpenAI Chat Model node\nconst input = items[0].json;\n\n// Create a properly formatted response that n8n can process\nlet formattedResponse = {\n  id: input.id || `chatcmpl-${Date.now()}`,\n  object: input.object || 'chat.completion',\n  created: input.created || Math.floor(Date.now() / 1000),\n  model: input.model || 'unknown',\n  choices: []\n};\n\n// Handle the case where choices might be missing or malformed\nif (!input.choices || !Array.isArray(input.choices) || input.choices.length === 0) {\n  // Create a default choice with a message and content\n  formattedResponse.choices = [\n    {\n      index: 0,\n      message: {\n        role: 'assistant',\n        content: 'No response generated.'\n      },\n      finish_reason: 'stop'\n    }\n  ];\n} else {\n  // Process each choice to ensure it has a message with content\n  formattedResponse.choices = input.choices.map((choice, index) => {\n    // Create a new choice object with all required fields\n    const formattedChoice = {\n      index: choice.index || index,\n      finish_reason: choice.finish_reason || 'stop'\n    };\n    \n    // Ensure message exists and has content\n    if (!choice.message) {\n      formattedChoice.message = {\n        role: 'assistant',\n        content: 'No message content available.'\n      };\n    } else {\n      formattedChoice.message = {\n        role: choice.message.role || 'assistant',\n        content: choice.message.content || 'No content available.'\n      };\n    }\n    \n    return formattedChoice;\n  });\n}\n\n// Add usage information if available\nformattedResponse.usage = input.usage || {\n  prompt_tokens: 0,\n  completion_tokens: 0,\n  total_tokens: 0\n};\n\n// Return the formatted response\nreturn [{\n  json: formattedResponse\n}];"
      },
      "id": "a79c9d4f-d4f7-4fbb-8f40-cfbed31cff65",
      "name": "Format Response",
      "type": "n8n-nodes-base.function",
      "typeVersion": 1,
      "position": [
        2660,
        1280
      ]
    },
    {
      "parameters": {},
      "id": "b79c9d4f-d4f7-4fbb-8f40-cfbed31cff65",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        2860,
        1280
      ]
    }
  ],
  "connections": {
    "Manual Input": {
      "main": [
        [
          {
            "node": "Format Input",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Format Input": {
      "main": [
        [
          {
            "node": "OpenAI Chat Model",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "main": [
        [
          {
            "node": "Format Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Format Response": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "staticData": null,
  "tags": [
    {
      "name": "OpenRouter",
      "color": "#ff9900"
    },
    {
      "name": "AI",
      "color": "#00ccff"
    }
  ],
  "triggerCount": 0,
  "updatedAt": "2025-04-09T10:00:00.000Z",
  "versionId": "1"
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• openAiApi

About this workflow

OpenRouter Key Aggregator - Complete Workflow. Uses lmChatOpenAi, agent. Event-driven trigger; 5 nodes.

Source: https://github.com/jaswantjat/openrouter-key-aggregator/blob/0ebd36fa41ad6cc34413f21119d606ec5f776cd3/examples/n8n-complete-workflow.json — original creator credit. Request a take-down →

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