Glossary
Cost Optimization
The practice of minimizing agent operational expenses while maintaining acceptable performance, through efficient resource use and architectural choices.
What is Cost Optimization?
Cost optimization addresses compute costs (inference, embeddings), API expenses (external service calls), storage (logs, vectors), and human oversight. Strategies include model selection (smaller models for simple tasks), caching, batching, prompt engineering to reduce tokens, and architectural patterns like cascade models. Optimization balances cost against latency, accuracy, and capability.
Continuous monitoring identifies cost drivers and optimization opportunities. As agents scale, small per-operation savings compound into significant budget impact, making optimization essential for sustainable operation.
Example
A customer service agent reduces costs by using a small model for initial intent classification (fast, cheap), only invoking large models for complex queries, implementing response caching for FAQs, and batching similarity searches.
How Signet addresses this
Signet can track cost efficiency metrics, enabling consumers to identify agents that deliver value economically. Cost per successful transaction provides insight into operational efficiency.
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