AI Optimizer gives you one local point where OpenAI-powered traffic can be observed, cached, and routed more efficiently.
AI Optimizer runs on your machine and exposes a local endpoint that your workflow can use instead of talking directly to OpenAI every time.
Instead of rewriting your entire app, you usually just update the OpenAI base URL so requests flow through the optimizer first.
When requests repeat, AI Optimizer can serve them locally instead of sending and paying for the same call again.
The optimizer also acts as a local control point for understanding request flow, cache behavior, and integration health.