Automated AI Model Token Usage & Cost Tracking with JinaAI and Google Sheets

Overview

This workflow automates the tracking of AI model token usage and associated costs using JinaAI, seamlessly integrating data into Google Sheets for ongoing analysis and reporting.

Key Features

• Automated Data Collection: Initiates on manual trigger or via sub-workflow execution, gathering execution and usage data from n8n and JinaAI.
• Cost Calculation: Fetches real-time AI pricing and computes token usage costs for each AI model run.
• Data Enrichment: Processes and summarizes usage and cost data before logging.
• Google Sheets Integration: Automatically records detailed usage and cost summaries in a Google Sheet for easy access and further analysis.

Benefits

• Accurate Cost Tracking: Ensures transparent monitoring of AI model expenses, supporting budget management.
• Time Savings: Eliminates manual data entry and calculation, reducing errors and freeing up resources.
• Scalable Reporting: Enables scalable, real-time reporting for multiple AI models and workflows.

Use Cases

• AI Operations: Monitor and optimize AI model usage and costs across projects.
• Finance & Analytics: Support financial planning and usage analytics for AI-driven initiatives.
• Team Collaboration: Share up-to-date usage and cost data with stakeholders via Google Sheets.

Integrations

• JinaAI: For AI model usage and pricing data.
• Google Sheets: For automated data logging and reporting.
• n8n: Orchestrates workflow automation and data processing.