OpenAI Decisions API: low-latency deterministic choices via the Luna model
Among 20+ DevDay updates: a Decisions API (limited preview) powered by the Luna model for low-latency, deterministic choices, plus major Codex upgrades (cloud tasks, workspaces) and a new $500/mo ChatGPT Pro tier with Astra Ultrafast.
Why it matters
OpenAI is productizing the System-1/System-2 split the Jev/laya ecosystem pioneered - a dedicated fast-decision endpoint next to the reasoning models, which validates the category.
What you could build with it
When the Decisions API opens up, benchmark it against the Jev/laya self-hosted classifiers for radar triage latency and cost.
Built with OpenAI Decisions API
- AlphaSignal: OpenAI's Decisions API gives developers a constrained GPT-6 Luna routerarticle · Breakdown of the endpoint's fixed answer-set interface: one call, one allowed choice — classification/routing/agent-control without prompt constraints and output validation.
- Decisions API vs Jev: feature-by-feature comparisonarticle · Compares OpenAI's constrained Luna decision endpoint with TypeSafe's Jev decision model on speed (150ms claimed), confidence calibration, pricing and choice cardinality.
- agentic-customer-service-platform: measured semantic decision routing on gpt-5.6-lunagithub · Measured experiment (84 attempts per arm) comparing direct-tool vs semantic-decision architectures on Luna for customer-service routing: 94.05% vs 82.14% routing accuracy.
First spotted on newsletter: source.
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