Automate LLM Testing with GPT-4 Judge & Google Sheets Tracking
## How it works - The workflow loads a list of test cases from a Google Sheet (previous results stored from an LLM). - For each test case, we execute a call to an LLM judge in parallel (using HTTP Request + Webhook nodes). - The judge uses the Input, Output, and Reference Answer fields from the spreadsheet to mark each LLM response as Pass/Fail. - The results are logged into a separate sheet in the same Sheets file. ## Set up steps: - Add your credentials for Google Sheets and OpenAI (or replace the OpenAI node with your favorite chat model). - Make a copy of the example Sheet to populate it with your own test data. - Run the workflow with the Execute Workflow button next to the Manual Trigger node.
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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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