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 →
{
"id": "VhN3CX6QPBkX77pZ",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Use any LLM-Model via OpenRouter",
"tags": [
{
"id": "uumvgGHY5e6zEL7V",
"name": "Published Template",
"createdAt": "2025-02-10T11:18:10.923Z",
"updatedAt": "2025-02-10T11:18:10.923Z"
}
],
"nodes": [
{
"id": "b72721d2-bce7-458d-8ff1-cc9f6d099aaf",
"name": "Settings",
"type": "n8n-nodes-base.set",
"position": [
-420,
-640
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3d7f9677-c753-4126-b33a-d78ef701771f",
"name": "model",
"type": "string",
"value": "deepseek/deepseek-r1-distill-llama-8b"
},
{
"id": "301f86ec-260f-4d69-abd9-bde982e3e0aa",
"name": "prompt",
"type": "string",
"value": "={{ $json.chatInput }}"
},
{
"id": "a9f65181-902d-48f5-95ce-1352d391a056",
"name": "sessionId",
"type": "string",
"value": "={{ $json.sessionId }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a4593d64-e67a-490e-9cb4-936cc46273a0",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-460,
-740
],
"parameters": {
"width": 180,
"height": 400,
"content": "## Settings\nSpecify the model"
},
"typeVersion": 1
},
{
"id": "3ea3b09a-0ab7-4e0f-bb4f-3d807d072d4e",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-740
],
"parameters": {
"color": 3,
"width": 380,
"height": 400,
"content": "## Run LLM\nUsing OpenRouter to make model fully configurable"
},
"typeVersion": 1
},
{
"id": "19d47fcb-af37-4daa-84fd-3f43ffcb90ff",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-660,
-640
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "f5a793f2-1e2f-4349-a075-9b9171297277",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-180,
-640
],
"parameters": {
"text": "={{ $json.prompt }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "dbbd9746-ca25-4163-91c5-a9e33bff62a4",
"name": "Chat Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-80,
-460
],
"parameters": {
"sessionKey": "={{ $json.sessionId }}",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "ef368cea-1b38-455b-b46a-5d0ef7a3ceb3",
"name": "LLM Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-200,
-460
],
"parameters": {
"model": "={{ $json.model }}",
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.1
},
{
"id": "32601e76-0979-4690-8dcf-149ddbf61983",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-460,
-320
],
"parameters": {
"width": 600,
"height": 240,
"content": "## Model examples\n\n* openai/o3-mini\n* google/gemini-2.0-flash-001\n* deepseek/deepseek-r1-distill-llama-8b\n* mistralai/mistral-small-24b-instruct-2501:free\n* qwen/qwen-turbo\n\nFor more see https://openrouter.ai/models"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "6d0caf5d-d6e6-4059-9211-744b0f4bc204",
"connections": {
"Settings": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"LLM Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Chat Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Settings",
"type": "main",
"index": 0
}
]
]
}
}
}
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
Use any LLM-Model via OpenRouter. Uses stickyNote, chatTrigger, agent, memoryBufferWindow. Chat trigger; 8 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →