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## Why Bazel clippy now catches lints that `cargo clippy` can still miss when a crate under `codex-rs` forgets to opt into workspace lints. The concrete example here was `codex-rs/app-server/tests/common/Cargo.toml`: Bazel flagged a clippy violation in `models_cache.rs`, but Cargo did not because that crate inherited workspace package metadata without declaring `[lints] workspace = true`. We already mirror the workspace clippy deny list into Bazel after [#15955](https://github.com/openai/codex/pull/15955), so we also need a repo-side check that keeps every `codex-rs` manifest opted into the same workspace settings. ## What changed - add `.github/scripts/verify_cargo_workspace_manifests.py`, which parses every `codex-rs/**/Cargo.toml` with `tomllib` and verifies: - `version.workspace = true` - `edition.workspace = true` - `license.workspace = true` - `[lints] workspace = true` - top-level crate names follow the `codex-*` / `codex-utils-*` conventions, with explicit exceptions for `windows-sandbox-rs` and `utils/path-utils` - run that script in `.github/workflows/ci.yml` - update the current outlier manifests so the check is enforceable immediately - fix the newly exposed clippy violations in the affected crates (`app-server/tests/common`, `file-search`, `feedback`, `shell-escalation`, and `debug-client`) --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/openai/codex/pull/16353). * #16351 * __->__ #16353
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.