Cutting AI Context Costs at Scale: Tool Overhead, Caching, Compaction

Explores techniques to reduce token waste: tool-definition overhead, context editing, prompt caching, and middleware that cuts costs before requests hit the model. Focus on practical strategies for large-scale AI deployments.