Caching Strategies for AI Agent Systems
Reuse expensive results only when identity, freshness, authorization, and side-effect semantics make reuse safe.
5 articles — updated daily

Reuse expensive results only when identity, freshness, authorization, and side-effect semantics make reuse safe.

Choose models by task requirements, policy, quality, latency, and cost instead of sending every step to one default.

Build focused model context that preserves decision-relevant information while removing repeated and irrelevant tokens.

Control the cost of successful agent outcomes, not merely the price of one model call.

Why multi-step agents feel slow, where elapsed time accumulates, and how to improve speed without breaking the task.