How it works You provide a list of prompts and a system instruction, the workflow batches them into a single OpenAI Batch API request. The batch job is tracked in a Supabase openaibatches table. A cron job polls OpenAI every 5 minutes, and once the batch completes, the results are decoded and stored back in Supabase. Set up steps Create the openaibatches table in Supabase. Schema is in the yellow sticky note. Add your OpenAI and Supabase/Postgres credentials to the workflow. Replace the mock dat
Process multiple requests in FIFO using OpenAI Batch API and Supabase/Postgres is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects OpenAI. It's free to download. Follow the 5-step import below to go live in minutes.

How it works You provide a list of prompts and a system instruction, the workflow batches them into a single OpenAI Batch API request. The batch job is tracked in a Supabase openaibatches table. A cron job polls OpenAI every 5 minutes, and once the batch completes, the results are decoded and stored back in Supabase. Set up steps Create the openaibatches table in Supabase. Schema is in the yellow sticky note. Add your OpenAI and Supabase/Postgres credentials to the workflow. Replace the mock data with your actual prompts and you're ready to go!
Download the workflow JSON file after purchase.
Open n8n → click the menu → Import from File.
Select the downloaded JSON and import.
Set up credentials for each node that requires them.
Click Execute Workflow to test, then activate.
Setup guide included
Purchase to unlock the full step-by-step guide
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