What should LLM cost monitoring show?
Useful monitoring should show project, provider, model, route, source, cost estimate, policy result, and reason for each request.
LLM cost monitoring
See which requests were allowed, blocked, or held, and why they affected your AI spend controls.
The problem
Cost monitoring without policy decisions can show that spend happened but not whether it should have happened.
Panicly's role
Panicly links request evidence to spend policy, so monitoring and enforcement live in the same operating surface.
Comparison
Monitoring views show usage after the fact.
Monitoring includes the enforcement decision.
Teams switch between logs, billing, and app code.
Request records carry operational context together.
Policy drift is hard to audit.
Rules, holds, and key changes are reviewable.
FAQ
Useful monitoring should show project, provider, model, route, source, cost estimate, policy result, and reason for each request.
Monitoring helps teams see spend. Prevention requires enforcement before traffic reaches the provider.