FrontierAI.Engineer
MLOps, LLMOps & Observability

Cost Monitoring

Cost monitoring tracks LLM API spend in real time and over time, alerting teams when daily or monthly budgets are approached or exceeded. Effective cost monitoring breaks down spend by model, feature, user cohort, and query type so engineers can identify outliers — such as a single expensive agent workflow or an unexpectedly verbose prompt — and act on them. Cost dashboards are essential for estimating unit economics and making informed decisions about model selection and caching investments.