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Michael Bolin
e39ddc61b1
## Summary Add the Windows gnullvm stack-reserve flags to the `*-unit-tests-bin` path in `codex_rust_crate()`. ## Why This is the narrow code fix behind the earlier review comment on [#16067](https://github.com/openai/codex/pull/16067). That comment was stale relative to the workflow-only PR it landed on, but it pointed at a real gap in `defs.bzl`. Today, `codex_rust_crate()` already appends `WINDOWS_GNULLVM_RUSTC_STACK_FLAGS` for: - `rust_binary()` targets - integration-test `rust_test()` targets But the unit-test binary path still omitted those flags. That meant the generated `*-unit-tests-bin` executables were not built the same way as the rest of the Windows gnullvm executables in the macro. ## What Changed - Added `WINDOWS_GNULLVM_RUSTC_STACK_FLAGS` to the `unit_test_binary` `rust_test()` rule in `defs.bzl` - Added a short comment explaining why unit-test binaries need the same stack-reserve treatment as binaries and integration tests on Windows gnullvm ## Testing - `bazel query '//codex-rs/core:*'` - `bazel query '//codex-rs/shell-command:*'` Those queries load packages that exercise `codex_rust_crate()`, including `*-unit-tests-bin` targets. The actual runtime effect is Windows-specific, so the real end-to-end confirmation still comes from Windows CI.
e39ddc61b1
·
2026-03-27 22:11:49 -07:00
4,926 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
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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.
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This repository is licensed under the Apache-2.0 License.