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https://github.com/pchuan98/codex.git
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Michael Bolin
2e942ce830
## Why Follow-up to #16345, the Bazel clippy rollout in #15955, and the cleanup pass in #16353. `cargo clippy` was enforcing the workspace deny-list from `codex-rs/Cargo.toml` because the member crates opt into `[lints] workspace = true`, but Bazel clippy was only using `rules_rust` plus `clippy.toml`. That left the Bazel lane vulnerable to drift: `clippy.toml` can tune lint behavior, but it cannot set allow/warn/deny/forbid levels. This PR now closes both sides of the follow-up. It keeps `.bazelrc` in sync with `[workspace.lints.clippy]`, and it fixes the real clippy violations that the newly-synced Windows Bazel lane surfaced once that deny-list started matching Cargo. ## What Changed - added `.github/scripts/verify_bazel_clippy_lints.py`, a Python check that parses `codex-rs/Cargo.toml` with `tomllib`, reads the Bazel `build:clippy` `clippy_flag` entries from `.bazelrc`, and reports missing, extra, or mismatched lint levels - ran that verifier from the lightweight `ci.yml` workflow so the sync check does not depend on a Rust toolchain being installed first - expanded the `.bazelrc` comment to explain the Cargo `workspace = true` linkage and why Bazel needs the deny-list duplicated explicitly - fixed the Windows-only `codex-windows-sandbox` violations that Bazel clippy reported after the sync, using the same style as #16353: inline `format!` args, method references instead of trivial closures, removed redundant clones, and replaced SID conversion `unwrap` and `expect` calls with proper errors - cleaned up the remaining cross-platform violations the Bazel lane exposed in `codex-backend-client` and `core_test_support` ## Testing Key new test introduced by this PR: `python3 .github/scripts/verify_bazel_clippy_lints.py`
2e942ce830
·
2026-03-31 17:09:48 -07:00
4,980 Commits
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, 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.