Introducing the Decisions API

Summary
Romain Huet (Head of Developer Experience at OpenAI) and Charlie Guo (Developer Experience at OpenAI) introduce OpenAI’s Decisions API. The API is powered by GPT-6 Luna and designed to return structured categorical decisions from text and visual inputs with sub-second latency.

What is shown

• Text extraction & lead routing UI: Demonstrating unstructured order text extraction into form fields [00:48] and inbound sales lead qualification [01:03] classifying company type, size, requirements, and next steps in 81 ms across six decisions [01:14].
• Vision lane-driving simulation: A top-down 2D driving game where camera frames of the road and obstacles are processed in real time by the Decisions API to select lane 1, 2, or 3 to steer the car clear of roadblocks [01:31].
• Voice avatar facial expressions: A conversational web application pairing GPT-Live 1 for voice with the Decisions API, which dynamically selects facial expressions for an animated frog character corresponding to conversational sentiment [02:17].
• Robotics object tracking with "Lavender": A tabletop programmable robot (a preview unit of Hugging Face’s Microdot robot) running GPT-Live and the Decisions API. The camera feed evaluates video frames to control head orientation to track a green apple [03:39], follow "the fruit" when asked ambiguously [04:12], and choose to track an Xbox controller over an apple when asked "what's more fun to play with?" [04:31].
• Post-credits blooper: Romain asks the robot if it is excited about the Decisions API, and the robot shakes its head horizontally [05:27].

Claims & numbers

• The Decisions API runs on GPT-6 Luna (presenter says at [00:19]).
• Focusing the model on constrained multiple choices makes it nearly 10 times faster than full generative output while maintaining image understanding, broad language support, and safety protection (presenter says at [00:28]).
• In the inbound sales demo, the server-side Decisions API processes and returns six decisions in 81 ms / less than 100 ms (presenter and UI show at [01:13]).

Notable quotes

• "By focusing the model on just a few choices, we can make it nearly 10 times faster..." — Romain Huet [00:28]
• "On the server side, the Decisions API here responded in less than 100 milliseconds, very impressive." — Romain Huet [01:11]
• "GPT-Live 1 handles the voice, while the Decisions API is choosing which expression the character should use as I talk." — Charlie Guo [02:20]

Assessment
This is an official OpenAI launch video demonstrating real-time interactive developer demos across web apps, vision navigation, animated agents, and hardware robotics. The displayed latencies (such as the 81 ms server processing time and real-time vision-based camera tracking) are live functional proof-of-concepts designed to highlight low-latency classification rather than benchmark evaluations.

Described by gemini-3.8-flash on 2026-10-07 from the video's audio and frames.