## Why The BuildBuddy runs for PR #19086 and the later `main` build had the same source tree, but their Windows Bazel action and test cache keys did not line up. Comparing the downloaded execution logs showed the full GitHub-hosted Windows runner `PATH` had changed from `apache-maven-3.9.14` to `apache-maven-3.9.15`. This repo is not using Maven; the Maven entry was just ambient hosted-runner state. The problem was that Windows Bazel CI was still forwarding the whole runner `PATH` into Bazel via `--action_env=PATH`, `--host_action_env=PATH`, and `--test_env=PATH`, which made otherwise reusable cache entries sensitive to unrelated runner image churn. After discussion with the Bazel and BuildBuddy folks, the better shape for this change was to stop asking Bazel to inherit the ambient Windows `PATH` and instead compute one explicit cache-stable `PATH` in the Windows setup action that already prepares the CI toolchain environment. ## What - remove Windows `PATH` passthrough from `.bazelrc` - export `CODEX_BAZEL_WINDOWS_PATH` from `.github/actions/setup-bazel-ci/action.yml` - move the PATH derivation logic into `.github/scripts/compute-bazel-windows-path.ps1` so the allow-list is easier to review and document - keep only the Windows tool locations these Bazel jobs actually need: MSVC and SDK paths, Git, PowerShell, Node, DotSlash, and the standard Windows system directories - update `.github/scripts/run-bazel-ci.sh` to require that explicit value and forward it to Bazel action, host action, and test environments - log the derived `CODEX_BAZEL_WINDOWS_PATH` in the setup step to simplify cache-key debugging ## Verification - `bash -n .github/scripts/run-bazel-ci.sh` - `ruby -e 'require "yaml"; YAML.load_file(ARGV[0])' .github/actions/setup-bazel-ci/action.yml` - PowerShell parse check for `.github/scripts/compute-bazel-windows-path.ps1` - simulated a representative Windows `PATH` in PowerShell; the allow-list retained MSVC, Git, PowerShell, Node, Windows, and DotSlash entries while dropping Maven
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.
