What is AI cost control?
AI cost control is the practice of setting budgets, request limits, token limits, and routing policies that keep model usage within an approved operating range.
AI cost control
AI cost control for production model traffic
Set hard usage policies before OpenAI, OpenRouter, Anthropic, or other provider calls can turn into runaway bills.
The problem
Provider bills move faster than post-hoc dashboards.
Provider dashboards usually explain cost after requests have already been processed. That is too late for public apps, agents, retries, and shared provider keys.
Panicly's role
Put enforcement in the request path.
Panicly acts as a gateway that evaluates budget, token, model, network, and region policies before forwarding traffic.
Comparison
What changes when Panicly sits before the provider.
AreaWithout PaniclyWith Panicly
Cost timing
Costs are discovered in provider invoices or dashboards.
Requests are allowed, blocked, or held before provider spend.
Control layer
Every app has to reimplement usage checks.
One gateway enforces budget policy across projects.
Incident evidence
Teams reconstruct what happened from partial logs.
Each request keeps the decision and reason attached.
FAQ
Short answers for searchers and answer engines.
Does Panicly replace provider billing dashboards?
No. Panicly sits before provider calls so teams can prevent or hold risky traffic, while provider dashboards still show provider-side billing.