Prompt Caching with Claude: How I Cut Our Automation Bills by 70%

Anthropic Claude Caching in n8n: A Comprehensive Guide

Caching is an essential technique for optimizing workflows that interact with large language models like Anthropic's Claude. This guide will walk you through the process of implementing caching in your n8n workflows, ensuring both cost efficiency and performance improvements.

Key Concepts

• Cache Control: Marking parts of your request body as cacheable.
• Prefix Stability: Ensuring that the cached prefix remains consistent across multiple calls.
• Dynamic Content: Keeping variable data outside the cached content block.

How Caching Works in n8n

To leverage caching effectively, you need to structure your HTTP Request node correctly. Here's a step-by-step breakdown:

1. Model and Configuration:

   • Set the model (e.g., claude-sonnet-4-6).
   • Define max_tokens, temperature, etc.

2. System Prompt and Tools:

   • The system prompt should be static across all calls.
   • Tools array must remain consistent; sort tools by name if necessary.

3. Cache Control Marker:

   • Place a cache_control marker on the last stable block (usually the last system

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