Semantic caching stores responses keyed by meaning, not exact text, so paraphrased agent queries hit the cache and skip a re-call to the model. Here's how to implement it, tune the similarity threshold, and design for the failure modes.
Prompt optimization is the cheapest lever in the AI agent stack — tighten the system prompt, gate few-shot examples, and manage context to cut token costs on every call. A technical guide for builders who want depth, not hand-holding.
The engineering playbook for cutting AI agent token costs: measure cost per completed task, set a token budget, route on evaluations, and treat the context window as a budget — not a feature.
