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## Why The prior `turn_start_shell_zsh_fork_subcommand_decline_marks_parent_declined_v2` assertion was brittle under Bazel: command approval payloads in the test could include environment-dependent wrapper/command formatting differences, which makes exact command-string matching flaky even when behavior is correct. (This regression was knowingly introduced in https://github.com/openai/codex/pull/12800, but it was urgent to land that PR.) ## What changed - Hardened `turn_start_shell_zsh_fork_subcommand_decline_marks_parent_declined_v2` in [`turn_start_zsh_fork.rs`](https://github.com/openai/codex/blob/main/codex-rs/app-server/tests/suite/v2/turn_start_zsh_fork.rs): - Replaced strict `approval_command.starts_with("/bin/rm")` checks with intent-based subcommand matching. - Subcommand approvals are now recognized by file-target semantics (`first.txt` or `second.txt`) plus `rm` intent. - Parent approval recognition is now more tolerant of command-format differences while still requiring a definitive parent command context. - Uses a defensive loop that waits for all target subcommand decisions and the parent approval request. - Preserved the existing regression and unit test fixes from earlier commits in `unix_escalation.rs` and `skill_approval.rs`. ## Verification - Ran the zsh fork subcommand decline regression under this change: - `turn_start_shell_zsh_fork_subcommand_decline_marks_parent_declined_v2` - Confirmed the test is now robust against approval-command-string variation instead of hardcoding one expected command shape.
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, Team, 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.