Introduction
OpenAI made its Decisions API generally available on October 22. Built on GPT-6 Luna, it accepts a focused question and returns a constrained answer rather than a long written response. Inputs can include text, images and structured data.
What changed
The release adds a native connection to GPT-Live, caching for repeated context and processing residency in the US and EU. Supported outputs include a choice from supplied options, a probability, or a score. OpenAI says developers can submit up to 400 questions in one request.
Where this could help a business
Consider an inquiry form with an open message field. A customer might describe a broken checkout without selecting “website support.” A classifier could suggest the right queue from the message, while the application keeps the original text available to the team.
That is an illustrative use case, not a feature araNET has shipped with this API. We would first ask whether the form can collect the missing detail directly. A clear service selector may solve the problem with less cost and fewer mistakes.
If a model is useful, include an “unclear—review” route. Test ordinary requests, messages covering several services and requests outside the business’s scope. A wrong assignment should remain easy to spot and correct.
Availability and limits
The API uses a dedicated endpoint. OpenAI lists input-token billing and no output-token charge; cached input has a separate rate. Check current pricing and account access before estimating a project. The announcement’s speed comparisons describe provider results, not a measured improvement for araNET.
Our take: a selected category should not automatically authorize a refund, send a quote or change a customer’s account. Keep the routing suggestion separate from permission to act. Measure incorrect routing and review effort alongside response time before deciding whether the integration earns its place.
