Parallel Batch Processing of Prompts with Azure OpenAI in n8n

Overview

This workflow automates the parallel processing of multiple prompts using Azure OpenAI's Batch API within the n8n platform. It is designed to efficiently handle large volumes of prompt requests, leveraging batch processing for speed and scalability.

Key Features

• Triggers via manual or workflow execution
• Constructs and sends batch requests to Azure OpenAI
• Parses and processes batch responses
• Includes conditional logic to handle processing status and errors
• Utilizes memory storage for tracking and managing prompt data

Benefits

By automating prompt processing in parallel, this workflow significantly reduces manual effort and turnaround time. It ensures high throughput and reliability, making it ideal for businesses needing to process large datasets or multiple AI queries simultaneously.

Use Cases

• Bulk content generation or summarization
• Automated customer support response drafting
• Large-scale data enrichment or analysis

Integrations & Automation

The workflow integrates n8n's automation capabilities with Azure OpenAI's Batch API, using code and set nodes for data manipulation, and conditional nodes for robust error handling. This results in streamlined operations, improved productivity, and scalable AI-powered solutions.