Automated Batch Processing with Anthropic API in n8n

This workflow automates the process of sending batched prompts to the Anthropic API using Claude models, managing chat history, and retrieving results efficiently. It allows users to submit multiple prompts simultaneously, check batch processing status, and parse the returned responses for further analysis or integration. The workflow is designed for use cases such as content generation, Q&A automation, or dynamic chatbot interactions where bulk processing of prompts is needed.

The process begins with setting up individual requests, optionally storing chat history, and constructing batch requests. These are then submitted via an HTTP request to the Anthropic API, with the workflow polling periodically for batch completion. Once the batch is finished, the results are retrieved, parsed, and filtered based on their associated request identifiers. Additionally, the workflow demonstrates how to manage chat memory, process single prompts, and handle complex conversation histories. It’s ideal for automating AI-driven content creation, customer support responses, or any scenario requiring high-volume prompt management.

Practical use cases include bulk content generation, intelligent chatbots with memory, and automated Q&A systems integrated into WordPress or other platforms.