Prompt Caching Is an Architectural Pattern, Not a Cost Optimization One question I ask...
Prompt Caching Is an Architectural Pattern, Not a Cost Optimization
One question I ask during almost every AI architecture review is surprisingly simple:
What part of this prompt actually changes between requests?
Most of the time, the answer is "almost nothing."
The system prompt is identical. Tool definitions are identical. Business rules don't change. Product catalogs remain the same. Even in RAG applications, much of the retrieved context is often reused across multiple agent steps.
A deep-dive explainer on Prompt Caching in Practice: The 5-Minute Cache and Workflow Design: methodology, historical context,…
Originally published at kalyna.pro If your app sends the same large system prompt, tool...
Prompt caching makes context order, provider cache controls, and cache-hit telemetry part of agentic AI architecture.
If you ship a chatbot, a RAG app, or an AI agent against a large language model, prompt caching is...
I was paying full price for input tokens I was sending over and over. A large system prompt, a fixed...
System-prompt caching alone cut repeat-call costs by half Tool definitions cache separately, perfect...
