Calculate AI Model Carbon Footprint Using Ecologits.ai
This workflow estimates the carbon footprint of AI model outputs by calculating the grams of CO₂ equivalent per token, using the Ecologits.ai methodology. It helps developers and organizations track and reduce the environmental impact of their AI applications.
This workflow integrates a conversion factor node to set the grams of CO₂ equivalent per token. It uses an AI node to generate output and estimates the token count by dividing the character length of the output by 4. The estimated token count is then multiplied by the conversion factor to calculate the carbon footprint of the AI call. This setup is ideal for environmentally-conscious developers and organizations aiming to monitor and reduce their AI-related carbon emissions.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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