What It Is
Providers charge per token for input and output, so long prompts, verbose answers, and repeated calls add up quickly at scale. For applications with thousands or millions of daily requests, small inefficiencies become large bills.
Key Points
- Prompt design: shorter, restructured prompts.
- Caching: reuse repeated context.
- Retrieval: send only the most relevant documents.
- Model routing: use smaller models for simple tasks and larger ones for complex reasoning.
Why It Matters
The aim is not the cheapest model everywhere but matching capability to each task and measuring quality impact. Tracking usage by feature and customer helps teams find waste before it grows. Regular review keeps spending aligned with value.
How ClearLeaff Applies It
It is part of our LLMOps service. With prompt caching, model selection across Haiku, Sonnet, and Opus, and detailed cost monitoring, we keep AI platforms financially sustainable.