Automated Multi-Prompt Processing with OpenAI and n8n

This n8n workflow is designed to automate the process of sending multiple prompts to an AI model, manage responses, and handle batch processing efficiently. It integrates various nodes to trigger from another workflow, parse AI responses, construct request batches, upload files, monitor processing status, and retrieve results, making it ideal for automating large-scale AI interactions or data processing.

The workflow begins with a trigger that allows it to be initiated from an external workflow. It then prepares the request data, either from a static example or dynamic input, converting JSON into JSONL format for batch compatibility with OpenAI’s API. Memory management nodes are used to maintain chat context and ensure proper state handling.

Batch requests are assembled with detailed API versioning, and files are uploaded to OpenAI. The batch job is created and monitored, with status checks ensuring the process completes before retrieving output files. Responses are parsed and split into manageable parts, with filters applied to handle specific results. The entire process can be automated to run in parallel for multiple prompts, enabling scalable AI interactions.

This workflow is useful for automating complex prompt-based tasks, such as data analysis, content generation, or AI-assisted decision-making, especially when dealing with large sets of prompts or responses requiring batch processing and response management.