What Is OpenAI Decisions API? A Practical Guide

OpenAI Decisions API is described as a limited-preview, decision-oriented interface introduced at DevDay 2026 for applications that need structured selections from a finite set of developer-defined options rather than free-form generated text. Reportedly powered by a specialized GPT-6 Luna version and able to process text or image context, it is intended for tasks such as content classification, ticket routing, agent next-step selection, tool-call confirmation, prioritization, and model routing. The approach reduces the need to parse and validate prose by framing requests as bounded questions with approved answers, although applications must still enforce permissions, policy, resource limits, and human-review requirements independently of model output. The guide distinguishes the API from JSON or structured-output modes, argues that it should serve as a narrow judgment layer alongside generative models and deterministic policy systems, and recommends offline evaluation, shadow deployment, calibration testing, and audit logging before automation. Because the contract, pricing, supported formats, score semantics, and availability may change during preview, developers are advised to consult official documentation, isolate the integration behind an adapter, and treat confidence scores as routing signals rather than proof of correctness.

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