Block 1 - Call Files API
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
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...
n8n-nodes-base.httprequest, n8n-nodes-base.manualtrigger, n8n-nodes-base.if, n8n-nodes-base.code, n8n-nodes-base.extractfromfile, n8n-nodes-base.scheduletrigger, n8n-nodes-base.supabase, n8n-nodes-base.postgres
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Teng Wei Herr.
Original n8n.io sourceYou 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.
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!
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Process multiple requests in FIFO using OpenAI Batch API and Supabase/Postgres |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | Engineering, AI Summarization |
| Author | Teng Wei Herr |
| Published | 06 Feb 2026 |
Use the JSON export at /data/workflows/13238/13238.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Summarization use case.