Regional API processing must be assessed across the whole application. OpenAI’s November 10 release note describes supported GPT-6 Luna inference in India, Japan, and Australia and identifies approved active Zero Data Retention and a Storage & Processing regional project as requirements.
Start with a data-flow inventory
List every system that receives prompts, outputs, files, metadata, or application logs. An API project setting cannot establish the residency of a separate database, analytics product, support tool, or third-party integration.
Review the supported scope
Use OpenAI’s data controls documentation to check the exact model, endpoint, modalities, retention terms, and exceptions. Do not assume the capability covers an unsupported tool or feature simply because another request works.
Trace the application, not just the endpoint
For supported GPT-6 Luna requests, OpenAI’s November 10 release note describes selected-country processing with approved active Zero Data Retention and a Storage & Processing regional project. This article focuses on implementation checks; the regional capability does not guarantee compliance for an entire application.
| Check | What to verify |
|---|---|
| Draw the data flow | List the client, application server, API project, file handling, external tools, logging, and monitoring. |
| Check the project | Record eligibility, the chosen region, supported endpoint and model, and retention configuration from current documentation. |
| Test without sensitive data | Use a synthetic example and inspect your own request logs and routing before introducing real confidential material. |
A successful API response establishes that the request ran; it does not prove that every connected service met a residency requirement. Keep configuration evidence and review third-party destinations independently. This is a design checklist, not a deployment tested by TechOneApp.