Measure AI Model Carbon Footprint with Ecologits.ai

This workflow provides a straightforward method to measure the environmental impact of AI automations by calculating the carbon footprint in grams of CO₂ equivalent for each Large Language Model call. Based on the open Ecologits.ai methodology, it uses input data like model type, input/output tokens, and efficiency factors to compute emissions accurately. Benefits include making abstract environmental costs tangible, promoting efficient prompt engineering and model selection, and enabling track