Unverified50% confidenceFactExact time
The Decisions API does not train a new model; instead, based on the existing Luna weights, it compresses first-token latency through structured output, parallel inference, and inference stack optimization.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/23/2026
First Seen
Valid until: 1/21/2027
Sources
OpenAI's New Agent Stack: Computer Use, Decisions API, and Ultra-Fast Workflows
bilibiliCG骇客10/23/2026
Related Entities
Related Claims
UnverifiedThe Decisions API is a classification decision tool with no output tokens that makes fast, intelligent selections from preset options, corresponding to the classifier paradigm in machine learning rather than a generative model.80% similarUnverifiedIn agent architectures, the Decisions API plays the role of the fast system in a fast-slow layered system, used to offload high-frequency, low-complexity decisions so that heavy reasoning models are only invoked at complex nodes77% similarUnverifiedv0.5.21 adds a Decisions API (/v1/decisions) that can turn large models into low-latency classifiers and scorers.77% similarUnverifiedKey considerations in model selection include API pricing, response latency, context window size, tool-calling capabilities, and performance in code generation and complex reasoning.76% similarUnverifiedThe engineering optimization level of the inference stack often determines the actual inference bills of small and medium teams more than the number of model parameters.73% similar
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