Computer-Use

OpenAI Codex background computer use now lets you keep running long GUI tasks while your main workflow continues, but only when you respect platform limits, permission boundaries, and oversight patterns. In practice, it is strongest for repeatable desktop actions that tolerate brief interruption, like test data setup, document publishing, and batch UI checks, while your local session stays productive. What changed in Codex background computer use in April 2026? Background computer use is Codex’s shift from single-shot GUI automation to longer-running sessions that can operate in the background on macOS and remain supervised from mobile clients. In mid-April 2026, multiple sources cite a desktop release that enabled background computer use on macOS with more than 5 million weekly active users and 6x growth since the February desktop rollout; OpenAI also reported knowledge workers growing more than three times faster than pure developer usage, making this capability materially relevant outside coding. The practical change is that background control is now an operational mode, not just a demo mode. You are no longer running the same short command loops from a static screen; you are scheduling distributed desktop tasks with checkpoints, approvals, and continuation states, which changes how you design agent prompts, error handling, and exit criteria. The clear takeaway is that background control is a reliability decision first and an automation decision second: if you do not design for drift and recovery, the feature does not scale. ...

OpenAI Codex computer use is a macOS feature released in April 2026 that lets AI background agents see your screen, click interface elements, and type across any app — without you being present. Agents run in a sandboxed virtual workspace, execute tasks in parallel, and hand results back when done. What Is OpenAI Codex Computer Use? (April 2026 Update Explained) OpenAI Codex computer use is a macOS-only capability, launched on April 16, 2026, that gives background AI agents direct control over your desktop environment. Unlike traditional API-based automation, Codex perceives your screen visually, clicks buttons, fills forms, and navigates GUIs across any application — Finder, Notion, Slack, Excel, or a custom internal tool — without requiring that app to expose an API. The feature ships as part of the Codex desktop app alongside Atlas (an in-app browser), image generation via gpt-image-1.5, and Chronicle (a persistent memory system). As of April 21, 2026, Codex has more than 4 million weekly active developers, with 50% of users already deploying it for non-coding automation tasks. Computer use operates exclusively in a sandboxed virtual workspace, which means agents never touch your live desktop directly — they work in an isolated layer that mirrors your environment. The core value: a parallel fleet of agents can run reports, fill spreadsheets, and send Slack summaries while you stay focused on other work. ...

GPT-5.4 is OpenAI’s most capable general-purpose model as of 2026, combining a 1,050,000-token context window, native computer use at 75% OSWorld accuracy, and five tunable reasoning effort levels in a single Chat Completions API drop-in. Released March 5, 2026, it replaces gpt-5.2 for most production workloads with no endpoint change required. What Is GPT-5.4? Release Date, Model Variants, and What’s New GPT-5.4 is OpenAI’s flagship general-purpose language model released on March 5, 2026, and it represents the first mainline model to combine frontier reasoning, native computer control, and a 1-million-token context window in a single architecture. Unlike earlier specialized variants — o3 for reasoning or gpt-5.2 for general use — GPT-5.4 integrates GPT-5.3-codex coding capabilities directly, making it a unified backbone for agentic, analytical, and conversational workloads. On launch day, it scored 75.0% on the OSWorld-Verified computer use benchmark, surpassing the human expert baseline of 72.4% — a first for any general-purpose model. On knowledge work (GDPval), GPT-5.4 matches or outperforms industry professionals in 83% of comparisons across 44 occupations. There are two production variants: gpt-5.4 (the standard model, priced at $2.50/$15 per million input/output tokens) and gpt-5.4-pro (optimized for high-stakes enterprise tasks at $30/$180 per million input/output tokens). Both share the same API surface and context window; the pro variant allocates more compute budget per inference by default. ...

The OpenAI Computer Use API lets you build agents that see a screen, click, type, and navigate web browsers — all through a single API call. This guide walks you through every implementation option, from a 20-line quickstart to production-grade sandboxed agents. What Is the OpenAI Computer Use API? The OpenAI Computer Use API is a capability within the Responses API that lets the computer-use-preview model observe screenshots, interpret UI elements, and emit structured actions (click, type, scroll, keypress) to control a computer or browser. Unlike traditional automation libraries like Selenium or Playwright that require explicit CSS selectors or XPath queries, Computer Use reasons visually about any interface — it reads pixel-level screenshots and decides what to interact with next. OpenAI first released computer-use-preview in early 2026, following Anthropic’s lead with Claude’s computer use. As of April 2026, OpenAI’s API processes over 15 billion tokens per minute, and the computer use capability has become a foundation for autonomous QA testing, data extraction pipelines, and RPA replacement use cases. The model supports screenshots up to 10,240,000 pixels (using detail: "original"), with optimal resolutions of 1440×900 or 1600×900 for desktop environments. The core workflow is a loop: capture screenshot → send to model → receive action → execute action → repeat until task completes. ...