Agentic Plan Caching: 46% Cost Reduction via Task-Level Template Reuse

Zylos AI Research·high signal

Cache structured planning templates at the task level — not at query prefix or individual prompt level — and adapt cached plans to new contexts by filling in task-specific variables rather than re-running expensive multi-step planning. Achieves 46.62% average cost reduction while maintaining 96.67% optimal performance on repetitive agentic workflows. Most developers cache at the token prefix level; caching at the higher semantic abstraction of the plan captures compounding savings for agents that repeatedly perform the same category of tasks with varying parameters.