Caching static system prompts reduces latency and costs for repetitive AI agent loops. Developers use this technique to store long context windows, avoiding redundant processing of identical instructions. It accelerates response times for complex, multi-step tasks. Practitioners should implement this to lower token spend and improve the perceived speed of autonomous systems.