LLM Cost Optimization: 8 Engineering Techniques to Reduce API Spend by 92%
This article systematically explains why LLM applications, especially Agent workflows, incur high token-based costs and details eight engineering techniques—including prompt caching, semantic caching, token reduction, model routing, distillation, quantization, and observability—to slash API expenses by up to 92% with concrete examples and implementation guidance.
