## Why
The Bazel workflow has multiple jobs that run concurrently for the same
target triple. In particular, the Windows `test`, `clippy`, and
`verify-release-build` jobs could all miss and then attempt to save the
same Bazel repository cache key:
```text
bazel-cache-${target}-${lockhash}
```
Because `actions/cache` entries are immutable, only one job can reserve
that key. The others can report failures such as:
```text
Failed to save: Unable to reserve cache with key bazel-cache-x86_64-pc-windows-gnullvm-..., another job may be creating this cache.
```
Adding only the workflow name would not separate these jobs because they
all run inside the same `Bazel` workflow. The key needs a job-level
namespace as well.
## What Changed
- Added a required `cache-scope` input to
`.github/actions/prepare-bazel-ci/action.yml`.
- Moved Bazel repository cache key construction into the shared action
and exposed the computed key as `repository-cache-key`.
- Exposed the exact restore result as `repository-cache-hit` so save
steps can skip exact cache hits.
- Updated `.github/workflows/bazel.yml` to pass `cache-scope: bazel-${{
github.job }}` for the `test`, `clippy`, and `verify-release-build`
jobs.
- The scoped restore key is now the only fallback. This avoids carrying
a temporary restore path for the old unscoped cache namespace.
## Verification
- Parsed `.github/actions/prepare-bazel-ci/action.yml` and
`.github/workflows/bazel.yml` with Ruby's YAML parser.
- `actionlint` is not installed in this workspace, so I could not run a
GitHub Actions semantic lint locally.
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.
