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## Why `rust-release.yml` can create unsigned macOS artifacts for external signing, but there was no signed resume path after those artifacts returned from a secure enclave. Release operators need a way to reuse the first run artifacts, ingest signed macOS binaries and DMGs, and continue the normal signed release path without rebuilding every platform or treating handoff assets as final release assets. ## How this is meant to be used First, start the release as an unsigned macOS build against the release tag: ```shell gh workflow run rust-release.yml \ --repo openai/codex \ --ref rust-vX.Y.Z \ -f release_mode=build_unsigned ``` That run builds the normal Linux/Windows artifacts and publishes unsigned macOS handoff artifacts. The unsigned macOS binaries are then copied to the secure enclave, signed and notarized there, packaged as a signed handoff archive, and uploaded back to the GitHub Release for the same tag. The signed handoff asset should contain either target directories such as `aarch64-apple-darwin/` and `x86_64-apple-darwin/`, or artifact directories such as `aarch64-apple-darwin-app-server/`. The promote workflow accepts either layout. The directories should contain the signed binaries and, for primary macOS bundles, the signed and stapled DMGs. For example, after signing, upload the handoff asset to the release: ```shell gh release upload rust-vX.Y.Z \ signed-macos-rust-vX.Y.Z.tar.zst \ --repo openai/codex \ --clobber ``` Then start the promotion run. `unsigned_run_id` is the workflow run id from the first `build_unsigned` run, and `signed_macos_asset` is the exact Release asset name uploaded by the secure enclave: ```shell gh workflow run rust-release.yml \ --repo openai/codex \ --ref rust-vX.Y.Z \ -f release_mode=promote_signed \ -f unsigned_run_id=1234567890 \ -f signed_macos_asset=signed-macos-rust-vX.Y.Z.tar.zst \ -f signed_macos_sha256=<sha256> ``` The `signed_macos_sha256` input is optional, but when provided the promotion run verifies the handoff archive before unpacking it. The promotion run also validates that `unsigned_run_id` points to a successful manual `rust-release` run for the same tag and commit before importing artifacts. ## What Changed - Add explicit manual `release_mode` values for `build_unsigned` and `promote_signed` while keeping `sign_macos` as a deprecated compatibility input. - Add promote inputs for `unsigned_run_id`, `signed_macos_asset`, and optional `signed_macos_sha256`. - Add a `stage-signed-macos` job that downloads the signed handoff asset from the GitHub Release, verifies signed binaries and stapled DMGs, repacks normal macOS release artifacts, and builds macOS Python runtime wheels. - Teach the release job to download Part 1 artifacts from the unsigned run, discard unsigned macOS staging artifacts, re-upload promoted Linux and Windows artifacts for npm staging, and then run the signed release tail. - Validate that `unsigned_run_id` points to a successful manual `rust-release` run for the same tag and commit before importing artifacts. - Limit unsigned macOS artifact upload to the unsigned build path so normal signed releases do not publish unsigned handoff binaries. - Clean up unsigned and signed handoff release assets after successful promotion. ## Verification - Parsed `.github/workflows/rust-release.yml` with Ruby YAML loading. No developers.openai.com documentation update is needed.
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.