This workflow follows the Agent → Agenttool recipe pattern — see all workflows that pair these two integrations.
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": "Token Tracker",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-32,
0
],
"id": "719a9dcd-f08d-4edc-bdc7-146f8b7f7a26",
"name": "When clicking \u2018Execute workflow\u2019"
},
{
"parameters": {
"model": "openai/gpt-4.1-nano",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
128,
272
],
"id": "c53b7da0-ebe9-4d15-b34e-e5f215ebf38b",
"name": "OpenRouter Chat Model1",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"typeVersion": 1,
"position": [
320,
272
],
"id": "57e02a9f-d06b-4be9-8c6c-6f42d033fb82",
"name": "Calculator"
},
{
"parameters": {
"promptType": "define",
"text": "\u0421\u043a\u0430\u0436\u0438, \u043a\u0430\u043a\u0430\u044f \u0441\u0435\u0433\u043e\u0434\u043d\u044f \u0434\u0430\u0442\u0430? \u0418 \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0431\u0443\u0434\u0435\u0442 5000 \u0443\u043c\u043d\u043e\u0436\u0438\u0442\u044c \u043d\u0430 278 \u0438 \u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u044c 651",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3,
"position": [
240,
0
],
"id": "f7e6f095-cae7-4170-9914-82d6b34f2035",
"name": "AI Agent"
},
{
"parameters": {
"workflowInputs": {
"values": [
{
"name": "Execution_ID"
}
]
}
},
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.1,
"position": [
-864,
224
],
"id": "c1860081-d19c-4e17-9337-35f05196fef7",
"name": "When Executed by Another Workflow"
},
{
"parameters": {},
"type": "CUSTOM.tokenCostOpenRouter",
"typeVersion": 1,
"position": [
-496,
224
],
"id": "b59fd5c2-5f51-426f-9879-f637e2decc19",
"name": "Token Cost (OpenRouter)",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
768,
80
],
"id": "d095fffc-4b60-4fb0-b080-f47a596b7248",
"name": "Next Logic Workflow"
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "S8p05KpvQT7Myhiw",
"mode": "list",
"cachedResultUrl": "/workflow/S8p05KpvQT7Myhiw",
"cachedResultName": "[1] Token Tracker"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {
"Execution_ID": "={{ $json.execution_id }}"
},
"matchingColumns": [
"Execution_ID"
],
"schema": [
{
"id": "Execution_ID",
"displayName": "Execution_ID",
"required": false,
"defaultMatch": false,
"display": true,
"canBeUsedToMatch": true,
"type": "string",
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"options": {
"waitForSubWorkflow": false
}
},
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
784,
-144
],
"id": "6017cb8c-8256-419e-911c-7fc823511a15",
"name": "Call '[1] Token Tracker'"
},
{
"parameters": {
"content": "## \u0418\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u044f Token Cost \u0441 AI \u0430\u0433\u0435\u043d\u0442\u043e\u043c\n\u0410 \u0442\u0430\u043a\u0436\u0435 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430:\n- \u2705 Basic LLM\n- \u2705 Guardrails\n- \u2705 AI Agent Tools",
"height": 896,
"width": 1136
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-96,
-272
],
"typeVersion": 1,
"id": "3b63a4b3-cab1-4f14-8522-bd9653a8a6f3",
"name": "Sticky Note"
},
{
"parameters": {
"content": "## \u041f\u043e\u0434\u0441\u0447\u0435\u0442 \u0442\u043e\u043a\u0435\u043d\u043e\u0432\n- \u0438 \u0438\u0445 \u0441\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c, \u0435\u0441\u043b\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d OpenRouter",
"height": 352,
"width": 768,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-928,
96
],
"typeVersion": 1,
"id": "e9a93e4b-0aea-47c4-89dc-d3a77f10983e",
"name": "Sticky Note1"
},
{
"parameters": {
"text": "\u0422\u044b \u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u0443\u0435\u0448\u044c \u043a\u0430\u043a\u0430\u044f \u0441\u0435\u0433\u043e\u0434\u043d\u044f \u0434\u0430\u0442\u0430",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agentTool",
"typeVersion": 2.2,
"position": [
464,
336
],
"id": "c8137199-279e-44c2-b90c-0ccab0bb18aa",
"name": "AI Agent Tool"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
432,
496
],
"id": "fcefdf21-13b0-4679-ab9b-7b728ca068c7",
"name": "OpenRouter Chat Model",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.dateTimeTool",
"typeVersion": 2,
"position": [
672,
496
],
"id": "f6cd9205-bd41-4f07-a7c2-ab9fa4471c22",
"name": "Date & Time"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-320,
224
],
"id": "b5493e20-5aff-4e31-ad05-6dac0c80787f",
"name": "Save DB"
},
{
"parameters": {
"operation": "fetch",
"executionId": "={{ $json.Execution_ID }}"
},
"type": "CUSTOM.tokenUsage",
"typeVersion": 1,
"position": [
-672,
224
],
"id": "f8550a64-bb9e-4c71-8457-f4a3b8661083",
"name": "Token Usage (Get)",
"credentials": {
"n8nApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "CUSTOM.tokenUsage",
"typeVersion": 1,
"position": [
608,
-144
],
"id": "496d505f-2165-4ab3-ba41-f7492476208b",
"name": "Token Usage (Save)",
"credentials": {
"n8nApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenRouter Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Calculator": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Next Logic Workflow",
"type": "main",
"index": 0
},
{
"node": "Token Usage (Save)",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Token Usage (Get)",
"type": "main",
"index": 0
}
]
]
},
"AI Agent Tool": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenRouter Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent Tool",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Date & Time": {
"ai_tool": [
[
{
"node": "AI Agent Tool",
"type": "ai_tool",
"index": 0
}
]
]
},
"Token Cost (OpenRouter)": {
"main": [
[
{
"node": "Save DB",
"type": "main",
"index": 0
}
]
]
},
"Token Usage (Get)": {
"main": [
[
{
"node": "Token Cost (OpenRouter)",
"type": "main",
"index": 0
}
]
]
},
"Token Usage (Save)": {
"main": [
[
{
"node": "Call '[1] Token Tracker'",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "3ffc7e42-5710-4b4c-a85a-8fe3645ed032",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "S8p05KpvQT7Myhiw",
"tags": []
}
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.
n8nApiopenRouterApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Token Tracker. Uses lmChatOpenRouter, toolCalculator, agent, executeWorkflowTrigger. Event-driven trigger; 16 nodes.
Source: https://gist.github.com/Vlad-Loop/569c6ed1656f0bed616236fa5abda318 — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Who is this for? Agencies, consultants, and service providers who conduct discovery calls and need to quickly turn conversations into professional proposals.
Tool Think, Tool Calculator, Agent Tool +18
The AI-Powered Shopify SEO Content Automation is an enterprise-grade workflow that transforms product content creation for e-commerce stores. This sophisticated multi-agent system integrates GPT-4o, C
Perplexity Tool, Memory Buffer Window, Agent +15
AI-powered Telegram bot for effortless expense tracking. Send receipts, voice messages, or text - the bot automatically extracts and categorizes your expenses. 📸 Receipt & Invoice OCR - Send photos of
Telegram Trigger, Mcp Client Tool, Tool Calculator +7
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
Output Parser Structured, Telegram, N8N Nodes Tesseractjs +14
Chat agent core (example). Uses agent, memoryBufferWindow, @tavily/n8n-nodes-tavily, toolCalculator. Event-driven trigger; 11 nodes.
Agent, Memory Buffer Window, @Tavily/N8N Nodes Tavily +5