OpenAI Decisions API launches finite-choice inference
OpenAI’s Decisions API focuses Luna on user-defined questions with finite answers, returning choices for classification, request routing, and selecting an agent’s next action. It enters limited preview with text and image inputs, with broader availability planned soon.
The API’s real appeal is control: developers get model-powered judgment without handing an agent unlimited freedom.
- –Finite outputs are easier to validate, log, evaluate, and integrate than free-form responses
- –High-volume routing and triage could benefit from lower-latency, narrower inference
- –Developers still need deterministic policy checks and human escalation for consequential decisions
- –The limited preview leaves reliability, calibration, pricing, and latency benchmarks unanswered
- –OpenAI is formalizing a new layer between traditional classifiers and open-ended agents
DISCOVERED
1h ago
2026-09-29
PUBLISHED
1h ago
2026-09-29
RELEVANCE
AUTHOR
OpenAI