OpenAI Announces Decisions API Powered by GPT-6 Luna
OpenAI has introduced the Decisions API, a new tool for real-time app decision-making, currently available in limited preview and powered by GPT-6 Luna.
The new Decisions API enables real-time, logic-based routing and classification for AI agents.
- OpenAI released the Decisions API, designed to provide real-time decision-making capabilities to applications.
- The API is powered by the new GPT-6 Luna model.
- Developers can use the tool to classify content, route incoming requests, or automate agent actions.
- The service is currently in a limited preview phase with a broader release expected soon.
Overview of the Decisions API
OpenAI has officially unveiled the Decisions API, a specialized interface designed to integrate real-time decision-making logic directly into software applications. Announced during the 2026 Developer Day events, this new addition to the OpenAI platform aims to streamline the way developers handle complex logical flows, request routing, and content classification by leveraging the capabilities of the newly introduced GPT-6 Luna model.
The Decisions API allows developers to define specific questions and provide a set of potential answers or outcomes. The underlying model then processes this data against incoming inputs—such as text or images—to provide a programmatic response that an application can immediately execute. This functionality is intended to reduce the overhead associated with custom prompt engineering or brittle hard-coded logic for basic routing tasks.
Capabilities and Functionality
At its core, the Decisions API acts as an intelligent bridge between raw user input and application logic. By submitting context, such as a customer support request, the API can analyze the intent and categorize it, allowing the host application to route the request to the appropriate internal team or system automatically. This enables a more dynamic interaction model where software can adapt to incoming data without requiring constant human oversight or manual rule updates.
The system is built on GPT-6 Luna, which appears to be a model optimized for low-latency, high-accuracy classification tasks. Because it is optimized for structured output, developers can reliably use the responses to trigger follow-up actions or automate multi-step processes within their agents. The API supports both text and image inputs, broadening the scope of what can be classified or acted upon.
Access and Deployment
The Decisions API is currently in a limited preview stage. According to communications from the OpenAI Developer team, access is being restricted to a selected cohort of API customers to facilitate rigorous testing and refinement. This phase allows the developers to monitor performance at scale and gather feedback on how the model handles diverse, real-world data inputs.
OpenAI has indicated that a broader release is planned for the coming days, suggesting a phased rollout strategy designed to ensure system stability. Organizations interested in incorporating the Decisions API into their workflows are encouraged to follow official developer channels for updates regarding general availability and full documentation of the API parameters.
Implications for Agentic Workflows
The introduction of this API marks a shift toward more formal, API-driven decision trees in agentic frameworks. Rather than relying solely on open-ended generation, developers now have a dedicated endpoint for classification, which is a fundamental requirement for building robust agents that must interact with internal business systems or CRM tools. By centralizing this decision logic within the Decisions API, companies may reduce the complexity of their application codebases while simultaneously improving the consistency of their automated responses.
The move also underscores the ongoing transition toward specialized, model-driven tasks within the developer ecosystem. As agents become more prevalent, the ability to clearly define choice parameters—as facilitated by the Decisions API—will likely become an essential component of the modern developer toolkit.
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