## Why
Installing `zstd` via Chocolatey in
`.github/workflows/rust-release-windows.yml` has been taking about a
minute on Windows release runs. This adds avoidable latency to each
release job.
Using DotSlash removes that package-manager install step and pins the
exact binary we use for compression.
## What Changed
- Added `.github/workflows/zstd`, a DotSlash wrapper that fetches
`zstd-v1.5.7-win64.zip` with pinned size and digest.
- Updated `.github/workflows/rust-release-windows.yml` to:
- install DotSlash via `facebook/install-dotslash@v2`
- replace `zstd -T0 -19 ...` with
`${GITHUB_WORKSPACE}/.github/workflows/zstd -T0 -19 ...`
- `windows-aarch64` uses the same win64 upstream zstd artifact because
upstream releases currently publish `win32` and `win64` binaries.
## Verification
- Verified the workflow now resolves the DotSlash file from
`${GITHUB_WORKSPACE}` while the job runs with `working-directory:
codex-rs`.
- Ran VS Code diagnostics on changed files:
- `.github/workflows/rust-release-windows.yml`
- `.github/workflows/zstd`
|
||
|---|---|---|
| .codex/skills/test-tui | ||
| .devcontainer | ||
| .github | ||
| .vscode | ||
| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk/typescript | ||
| shell-tool-mcp | ||
| third_party | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc.toml | ||
| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
| defs.bzl | ||
| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
| MODULE.bazel.lock | ||
| NOTICE | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| rbe.bzl | ||
| README.md | ||
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 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.