A crowded keynote with a quiet contender
OpenAI's DevDay 2026 was packed. The company introduced GPT-6.1 Sol, added computer use to its Agents API, launched cloud-based Codex environments, and expanded ChatGPT's plugin system 3. Most recaps lead with the agent tooling, and that makes sense: it is the most visible part of the release. The more revealing announcement, though, may be a narrower one. The new Decisions API is OpenAI's direct response to Jev, a rival model that has recently drawn a lot of attention online 1.
What the Decisions API actually does
The idea is easy to state. A developer gives the API some context and a fixed list of possible answers, and the model chooses one 1. Every's reviewers describe Jev as a "smart if-then statement," and the Decisions API fills the same role 1. OpenAI's developer forum says the service runs on a model called Luna. It can classify inputs, route requests, or pick an action from predefined options, and OpenAI pitches it as a way to make real-time decisions by narrowing the model's attention to user-defined questions with finite answers 2. For now it is in limited preview 2.
In early hands-on testing, Every found one clear advantage over Jev: the Decisions API is multimodal and accepts image input 1. It was faster and more accurate than Jev on a few initial tests, but it fell behind on Every's broader evaluation suite 1. The reviewers concluded that price could decide how much it changes the market 1.
Why a "boring" API matters
Constrained classification has none of the flash of an agent clicking through a desktop interface. Commercially, it may count for more. A large share of production AI work is routing a support ticket, flagging content, or deciding which workflow to trigger. Those tasks happen at high volume and are sensitive to latency, and buyers in that segment care mostly about cost per call and speed.
That is probably why OpenAI's infrastructure numbers matter here. The company reported 45% lower time to first token across its API and tool calls and workflows that run more than 30% faster 2. Those are general platform claims, not figures specific to the Decisions API. Still, they point to the kind of performance a real-time decision product depends on. OpenAI is not just copying Jev's format. It looks like it is trying to fold that format into a platform rivals would find hard to match on breadth.
The agent stack is still the main event
The Decisions API is the most interesting story in this release, but it was not the largest one. The Agents API now supports computer use, so applications can operate software through graphical interfaces. It also picks up Codex's multi-agent features, tool search, tool calling, and context compaction, with OpenAI running the execution infrastructure 3. Codex can now run in the cloud, which lets developers start remote tasks from other devices. The CLI gained voice input and an /agents interface for delegating and monitoring parallel work 3. New code-review workflows analyze GitHub pull requests and GitLab merge requests, and Codex Security Cloud scans repositories, investigates findings, removes duplicates, and prepares fixes 3.
ChatGPT plugins can now build sidebars, interactive panels, and custom file viewers, and they can respond to events through a proposed MCP Events specification 3. OpenAI also announced Amazon Bedrock Managed Agents, which runs OpenAI-powered agents inside AWS. On the privacy side, it introduced zero-data-retention options and a Private Inference preview planned for the fall 2. On pricing, it added a Pro 500 tier with 25 times the Plus usage allowance and reopened Pro 200 subscriptions, though new subscribers get different allowances from grandfathered users 2.
Execution is the open question
The recaps differ mostly in emphasis. InfoQ's account is an orderly inventory focused on agents and Codex 3. The community thread is a list of specs and plan changes 2. Every's review is the only one with an opinion, and it is mixed. The reviewers praise OpenAI's ambition but say a vision this broad needs flawless execution. They describe a feature called Dots as central to how they now use ChatGPT, and also as buggy and sometimes frustrating 1. They liked a document tool called Space as a replacement for an editor they had previously used 1. They also warn that shipping so much at once could erode the simplicity and coherence that made Codex strong 1.
That warning applies to the Decisions API as well. An if-then model only works if it is cheap, fast, and predictable. If OpenAI prices it aggressively and it performs reliably at scale, it could take Jev's niche and keep developers inside a single ecosystem. If it shows the same rough edges Every found elsewhere in the release, Jev's simpler offering may hold its ground. Overall, the Decisions API is the more strategic launch of the day, and the agent tooling is the more visible one.
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