## Why `shell_zsh_fork` already provides stronger guarantees around which executables receive elevated permissions. To reuse that machinery from unified exec without pushing Unix-specific escalation details through generic runtime code, the escalation bootstrap and session lifetime handling need a cleaner boundary. That boundary also needs to be safe for long-lived sessions: when an intercepted shell session is closed or pruned, any in-flight approval workers and any already-approved escalated child they spawned must be torn down with the session, and the inherited escalation socket must not leak into unrelated subprocesses. ## What Changed - Extracted a reusable `EscalationSession` and `EscalateServer::start_session(...)` in `shell-escalation` so callers can get the wrapper/socket env overlay and keep the escalation server alive without immediately running a one-shot command. - Documented that `EscalationSession::env()` and `ShellCommandExecutor::run(...)` exchange only that env overlay, which callers must merge into their own base shell environment. - Clarified the prepared-exec helper boundary in `core` by naming the new helper APIs around `ExecRequest`, while keeping the legacy `execute_env(...)` entrypoints as thin compatibility wrappers for existing callers that still use the older naming. - Added a small post-spawn hook on the prepared execution path so the parent copy of the inheritable escalation socket is closed immediately after both the existing one-shot shell-command spawn and the unified-exec spawn. - Made session teardown explicit with session-scoped cancellation: dropping an `EscalationSession` or canceling its parent request now stops intercept workers, and the server-spawned escalated child uses `kill_on_drop(true)` so teardown cannot orphan an already-approved child. - Added `UnifiedExecBackendConfig` plumbing through `ToolsConfig`, a `shell::zsh_fork_backend` facade, and an opaque unified-exec spawn-lifecycle hook so unified exec can prepare a wrapped `zsh -c/-lc` request without storing `EscalationSession` directly in generic process/runtime code. - Kept the existing `shell_command` zsh-fork behavior intact on top of the new bootstrap path. Tool selection is unchanged in this PR: when `shell_zsh_fork` is enabled, `ShellCommand` still wins over `exec_command`. ## Verification - `cargo test -p codex-shell-escalation` - includes coverage for `start_session_exposes_wrapper_env_overlay` - includes coverage for `exec_closes_parent_socket_after_shell_spawn` - includes coverage for `dropping_session_aborts_intercept_workers_and_kills_spawned_child` - `cargo test -p codex-core shell_zsh_fork_prefers_shell_command_over_unified_exec` - `cargo test -p codex-core --test all shell_zsh_fork_prompts_for_skill_script_execution` --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/openai/codex/pull/13392). * #13432 * __->__ #13392
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.
