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https://github.com/pchuan98/codex.git
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Michael Bolin
30de54da36
## Why Bazel CI was not actually exercising some sharded Rust integration-test targets on macOS. The `rules_rust` sharding wrapper expects a symlink runfiles tree, but this repo runs Bazel with `--noenable_runfiles`. In that configuration the wrapper could fail to find the generated test binary, produce an empty test list, and exit successfully. That made targets such as `//codex-rs/core:core-all-test` look green even when Cargo CI could still catch failures in the same Rust tests. The coverage gap appears to have been introduced by [#18082](https://github.com/openai/codex/pull/18082), which enabled rules_rust native sharding on `//codex-rs/core:core-all-test` and the other large Rust test labels. The manifest-runfiles setup itself predates that change in [#10098](https://github.com/openai/codex/pull/10098), but #18082 is where the affected integration tests started running through the incompatible rules_rust sharding wrapper. [#18913](https://github.com/openai/codex/pull/18913) fixed the same class of issue for wrapped unit-test shards, but integration-test shards were still going through the rules_rust wrapper until this PR. We still do not have the V8/code-mode pieces stable under the Bazel CI cross-compile setup, so this keeps those tests out of Bazel while restoring coverage for the rest of the sharded Rust integration suites. Cargo CI remains responsible for V8/code-mode coverage for now. This change did uncover a real failing core test on `main`: `approved_folder_write_request_permissions_unblocks_later_apply_patch`. That fix is split into [#21060](https://github.com/openai/codex/pull/21060), which enables the `apply_patch` tool in the test, teaches the aggregate core test binary to dispatch the sandboxed filesystem helper, canonicalizes the macOS temp patch target, and isolates the core test harness from managed local/enterprise config. Keeping that fix separate lets this PR stay focused on restoring Bazel coverage while documenting the first failure it exposed. ## What changed - Build sharded Rust integration tests as manual `*-bin` binaries and run them through the existing manifest-aware `workspace_root_test` launcher. - Keep Bazel sharding on the launcher target so Rust test cases are still distributed by stable test-name hashing. - Configure Bazel CI to skip Rust tests whose names contain `suite::code_mode::`. - Exclude the standalone `codex-rs/code-mode` and `codex-rs/v8-poc` unit-test targets from `bazel.yml`. ## Verification - `bazel query --output=build //codex-rs/core:core-all-test` now shows `workspace_root_test` wrapping `//codex-rs/core:core-all-test-bin`. - `bazel test --test_output=all --nocache_test_results --test_sharding_strategy=disabled //codex-rs/core:core-all-test --test_filter=suite::request_permissions_tool::approved_folder_write_request_permissions_unblocks_later_apply_patch` runs the actual Rust test body and passes. - `bazel test --test_output=errors --nocache_test_results --test_env=CODEX_BAZEL_TEST_SKIP_FILTERS=suite::code_mode:: //codex-rs/core:core-all-test` runs the sharded target with code-mode skipped and passes overall locally, with one flaky attempt retried by the existing `flaky = True` setting.
30de54da36
·
2026-05-04 13:33:14 -07:00
6,141 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, 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.