# GPT-6 Astra API Brings Computer Use to Developers _GPT-6 Astra adds computer use with background control plus async tools and steering, now available in ChatGPT, Codex and the API._ **Published:** 2026-09-04 **Source:** https://www.startuphub.ai/ai-news/technology/2026/gpt-6-astra-api-brings-computer-use-to-developers --- [GPT-6 Astra API](https://www.youtube.com/watch?v=bOC3DisEOfg) is OpenAI's newest frontier model, shown off with the ability to control a desktop directly. According to [OpenAI's YouTube channel](https://www.youtube.com/watch?v=bOC3DisEOfg), the upgrade arrives in [ChatGPT](https://www.startuphub.ai/ai-news/artificial-intelligence/2026/openai-s-chatgpt-gains-context-with-computer-history-feature), Codex and the API. Users only need a prompt or an authenticated API call, no remote exploitation required. The full discussion can be found on **OpenAI Youtube**'s YouTube channel. ![](https://img.youtube.com/vi/bOC3DisEOfg/maxresdefault.jpg) Introducing GPT-6 Astra for developers, from OpenAI Youtube That distinction matters for security. ## How computer control actually works In the demo, [Astra](https://www.startuphub.ai/startups/astra) paints in Krita from a photo prompt, adding the Golden Gate Bridge in Van Gogh style while watching screenshots. It keeps the app running in the background so the user can keep working. Think of it like a remote intern with screen sharing and mouse access, but with no lock on the filing cabinet. OpenAI says [Astra](https://www.startuphub.ai/startups/astra) tracks the original instruction across app controls and applies the same ability to everyday developer workflows, from filling forms for API keys to QA on a mobile app. Two new Responses API primitives extend that autonomy. Asynchronous tool calling lets the model continue work while a tool runs and absorb the result when it returns. Steering lets you inject new context mid-response without canceling the running tool, as shown in the [Codex](https://www.startuphub.ai/ai-news/artificial-intelligence/2026/codex-it-s-time-to-fly)-style live redirect. ## Why this matters and what is not fixed For builders, accuracy and efficiency gains in computer use lower friction for agent automation. They also widen the surface where a misinterpreted instruction or injected prompt can drive clicks, form fills and file edits. OpenAI did not detail permissions, sandboxing or audit logging for background control in this video. There is no mention of mitigations for prompt injection in the browser, tool output handling or limits on unattended actions. Teams should treat Astra-driven desktop sessions as privileged. Scope it to isolated VMs, require explicit approval for writes, and log every screenshot-driven action and async tool result. The steering change also creates timing risk. A mid-flight instruction can now alter a plan while a prior tool is still executing, so validate new context against the original task before the model merges it. OpenAI positions Astra as stronger on creativity and long-running tasks, with more detailed 3D models and more natural back and forth. That helps for knowledge work, but it does not answer how reliably it refuses destructive or out-of-scope computer actions. Astra is now available in ChatGPT, Codex and the API for testing on complex tasks. --- Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.