Measure AI Model Carbon Footprint with Ecologits.ai

Estimates carbon footprint (gCO₂e) of LLM calls using Ecologits.ai methodology. Simple n8n snippet for sustainable AI workflows.

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
Platform
n8n
Category
HR & Operations
Price
$9.99
Creator
Kaito Mensah

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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