Process multiple requests in FIFO using OpenAI Batch API and Supabase/Postgres

Description

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 openai_batches 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 openai_batches 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!