OpenAI cost control before requests become spend

Route production AI traffic through Panicly to enforce usage policy before expensive requests reach upstream model providers.

Provider bills move faster than post-hoc dashboards.

A single loop, bot, retry storm, or power user can burn through shared API spend before finance or engineering notices.

Panicly gives OpenAI traffic a policy layer with request ceilings, token guards, model access, network controls, and Sentry Mode.

AreaWithout PaniclyWith Panicly

Application code handles limits inconsistently.

The gateway applies the same policy before forwarding.

Expensive models can appear in production by accident.

Only approved models can route for a project.

Teams redeploy or rotate keys during incidents.

Operators can hold risky traffic from the workspace.

Panicly can enforce request and policy limits before traffic routes upstream. Provider token charges remain billed by the provider.

Any team with public AI features, shared provider keys, agents, retrying workers, or usage-based customer behavior needs a control layer.