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## Why A thread can select skill roots that live in an executor environment. `skills/list` needs a passive snapshot of the roots that are usable now: it must not start an executor, wait for recovery, or reconnect a failed environment. The initial implementation checked the immutable first startup result. After a successful connection later entered recovery or failed, that result still looked successful. A read-only catalog request could then wait for recovery or trigger a new connection while reading the filesystem. ## What - inspect readiness from the current exec-server connection state - return roots only while their environment can serve a request immediately - omit environments that have not started, are connecting, or are recovering - return warnings for missing environments and terminal connection failures - add a fail-fast filesystem view that never starts, waits for, or reconnects an environment - expose the passive selected-root snapshot through `CodexThread` ## Behavior - Local and currently connected environments are ready. - Starting and recovering environments are omitted without a warning so callers can retry later. - Missing and terminally failed environments are omitted with a warning. - A disconnect between readiness inspection and filesystem access fails promptly instead of crossing into the normal recovery path. - Normal model-turn and execution paths keep their existing reconnect behavior. ## Design The recovery policy is private to the exec-server client. Callers choose the explicit fail-fast filesystem method; the existing client and filesystem APIs remain reconnecting. This keeps the passive contract at the transport boundary instead of plumbing timeout or retry flags through the skills stack. ## Coverage - a lazy stdio environment stays unstarted during passive inspection - missing and terminally failed environments surface warnings - a real websocket disconnect proves current readiness drops, a previously acquired fail-fast filesystem handle returns promptly, and readiness returns after recovery ## Scope This PR only provides passive readiness and fail-fast filesystem primitives. It does not add app-server API fields or notifications. ## Stack - #31582 uses these primitives for experimental thread-scoped `skills/list`. - #30228 adds targeted invalidation notifications.
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
Run the following on Mac or Linux to install Codex CLI:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Run the following on Windows to install Codex CLI:
powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
Codex CLI can also be installed via the following package managers:
# 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.