The core pattern
Install AI Optimizer, start the local proxy, then route compatible requests through localhost first. The rest of the workflow can often stay mostly familiar.
← Back to homeLocal proxy setup
How to add a local proxy to an OpenAI-compatible workflow.
Many tools do not need a rebuild. They just need one local endpoint change so repeated requests can pass through a local control layer first.
Quick answer
For many OpenAI-compatible tools, adding a local proxy is as simple as pointing the base URL to http://localhost:3000/v1 instead of the upstream provider endpoint.
Why teams like this approach
It is easier to adopt than a full rebuild and gives you one place to add caching, visibility, and provider-specific controls.
Example
A common config change
OPENAI_BASE_URL=http://localhost:3000/v1
A current branded setup view: choose the provider, confirm the proxy is running, and route the workflow through localhost.
Where this fits best
Scripts, local tools, automations, cron jobs, and repeat-heavy developer workflows are all strong fits for this kind of low-friction routing change.
What to watch for
Highly custom tools may use a different variable or client config pattern, but the underlying idea is still to route requests through the local proxy path.
Add the local layer without rebuilding the whole workflow.
AI Optimizer gives OpenAI-compatible tools a practical localhost path for caching, visibility, and repeat-request control.