OpenAI announces Codex, a cloud-based coding agent powered by codex-1 (o3 optimized for software engineering) that can perform coding tasks, run tests, and generate pull requests with verifiable evidence of actions.
Codex is a cloud-based coding agent. Codex is powered by codex-1, a version of OpenAI o3 optimized for software engineering. codex-1 was trained using reinforcement learning on real-world coding tasks in a variety of environments to generate code that closely mirrors human style and PR preferences, adheres precisely to instructions, and iteratively runs tests until passing results are achieved.
# Addendum to o3 and o4-mini system card: Codex
Source: [https://openai.com/index/o3-o4-mini-codex-system-card-addendum/](https://openai.com/index/o3-o4-mini-codex-system-card-addendum/)
Codex is a cloud\-based coding agent\. Codex is powered by codex\-1, a version of OpenAI o3 optimized for software engineering\. codex\-1 was trained using reinforcement learning on real\-world coding tasks in a variety of environments to generate code that closely mirrors human style and PR preferences, adheres precisely to instructions, and iteratively runs tests until passing results are achieved\.
Users can ask Codex to perform coding tasks or to answer questions about a codebase\. Each agent runs in its own cloud container with no internet access\. The container is preloaded with the user’s code and a development environment defined by the user, including any dependencies, configuration, or tooling they specify\. After setup, internet access is disabled and the model trajectory begins\. Within that environment, Codex can read and edit files, as well as execute commands including tests, linters, and type checkers\.
Codex is trained to provide verifiable evidence of its actions through citations of terminal logs and files, allowing the user to validate the model’s work\. Once a task is complete, users can inspect the results, request refinements, or export the generated diff—either by converting it into a GitHub pull request or copying it for local testing and development\.
Read the full OpenAI o3 and o4\-mini System Card[here](https://openai.com/index/o3-o4-mini-system-card/)\.
OpenAI launches Codex, a cloud-based AI software engineering agent powered by codex-1 (optimized o3), capable of writing features, fixing bugs, and proposing pull requests with parallel task execution. Available to ChatGPT Pro, Business, Enterprise users today, with Plus and Edu support coming soon.
OpenAI announced an upgrade to Operator, replacing the GPT-4o-based Computer Using Agent model with an o3-based version that maintains safety guardrails while improving coding capabilities for web automation tasks.
OpenAI releases a major update to Codex, enabling it to operate computers via cursor control, generate images, manage long-term tasks with memory, and deeply integrate with developer workflows like SSH and PR reviews.
OpenAI announces updates to Codex including a new skills system for reusable task bundles, a more compact model GPT-5-Codex-Mini with higher rate limits, and integrations via the Responses API.
OpenAI released system cards for o3 and o4-mini models, which feature advanced reasoning capabilities combined with tool integration (web browsing, Python, image analysis, etc.) and are evaluated under OpenAI's Preparedness Framework v2 for safety in biological, cybersecurity, and AI self-improvement domains.