OpenAI used DevDay 2026 to ship a batch of developer updates aimed squarely at teams building agents, according to InfoQ's recap.

What shipped

  • GPT-6.1 Sol: a model aimed at coding, computer use, and professional tasks, with cached input priced at $0.10 per million tokens. Available in the API, ChatGPT Work, and Codex.
  • Agents API with computer use: applications can now operate software through graphical interfaces, with multi-agent orchestration, tool search, and tool calling handled by OpenAI's infrastructure.
  • Cloud Codex environments: tasks can run remotely and be kicked off from other devices. The CLI added voice input, an /agents interface for delegating work, GitHub pull-request review, and repository security scanning.
  • Decisions API (limited preview): uses the smaller Luna model to pick from a predefined set of answers given text or image context. AI Weekly reports it returns typed answers with confidence scores and charges only for input tokens at $0.10 per million.
  • ChatGPT plugins: sidebar experiences, interactive panels, custom file viewers, and support for the proposed MCP Events spec for event-driven automations.
  • Dots (persistent agents for ongoing tasks) and ChatGPT Space (a shared team workspace with common context).

What it means for your stack

DiscussTried a computer-use agent on a legacy app? Tell the thread what broke.

The Decisions API is the sleeper here. A cheap, typed classification endpoint with confidence scores is exactly the primitive most routing and triage pipelines hand-roll today. Computer use in the Agents API, meanwhile, moves "drive the legacy app with an agent" from a research demo to something you can budget for, which is also when governance questions get real.