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Dylan Hurd
32aad7bd13
## Why Recent `main` CI had repeated Windows timeouts in the legacy sandbox process tests: - `codex-windows-sandbox session::tests::legacy_capture_powershell_emits_output` failed in runs [24909500958](https://github.com/openai/codex/actions/runs/24909500958), [24908076251](https://github.com/openai/codex/actions/runs/24908076251), [24906197645](https://github.com/openai/codex/actions/runs/24906197645), [24905411571](https://github.com/openai/codex/actions/runs/24905411571), [24903336028](https://github.com/openai/codex/actions/runs/24903336028), and [24898949647](https://github.com/openai/codex/actions/runs/24898949647). - `legacy_tty_powershell_emits_output_and_accepts_input` failed in the same set of runs. - `legacy_non_tty_cmd_emits_output` failed in runs [24909500958](https://github.com/openai/codex/actions/runs/24909500958), [24908076251](https://github.com/openai/codex/actions/runs/24908076251), [24906197645](https://github.com/openai/codex/actions/runs/24906197645), and [24903336028](https://github.com/openai/codex/actions/runs/24903336028). - `legacy_non_tty_powershell_emits_output` failed in runs [24908076251](https://github.com/openai/codex/actions/runs/24908076251), [24906197645](https://github.com/openai/codex/actions/runs/24906197645), and [24903336028](https://github.com/openai/codex/actions/runs/24903336028). These failures were 30s timeouts on Windows x64 and/or arm64 rather than assertion failures. ## Root Cause The active legacy Windows sandbox process tests all exercise host-level resources: sandbox setup, ACL/user state, private desktop process launch, stdio capture, and PowerShell/cmd child cleanup. Running several of these tests concurrently can leave them competing for the same Windows sandbox setup path and process/session resources, which makes command startup or output collection hang under CI load. ## What Changed - Added a shared in-process mutex for the active legacy Windows sandbox process tests. - Held that guard across each legacy cmd/PowerShell process test so those host-resource-heavy cases run one at a time. - Kept the skipped legacy cmd TTY tests unchanged. ## Why This Should Be Reliable The tests still use unique homes and run the real legacy sandbox process path, but they no longer overlap the fragile host-level setup and process/session lifecycle. Serializing just this small group removes the concurrency race without reducing the behavioral coverage of each test. ## Verification - `cargo test -p codex-windows-sandbox` - GitHub Windows CI is the primary validation signal for the affected tests; on this PR, Windows clippy, Windows release, and Windows local Bazel passed after the serialization fix.
32aad7bd13
·
2026-04-24 16:18:30 -07:00
5,794 Commits
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.