AI Agent Knowledge Library

Cost & Performance

Latency, token usage, caching, model routing, throughput, and cost optimization for production agent systems.

5 Published resources

Explore: Security & Safety Reliability Evaluation Observability Deployment

Editor’s pick

Start with this guide

Explainer Intermediate

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

Knowledge library

5 published articles

Explainer Intermediate

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

Explainer Intermediate

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

Explainer Intermediate

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

Explainer Beginner

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