mirror of
https://github.com/pchuan98/codex.git
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Michael Bolin
536952eeee
## Why The `codex-tui` Cargo test suite was catching stale snapshot expectations, but the matching Bazel unit-test target was still green. The TUI unit target is wrapped by `workspace_root_test` so tests run from the repository root and Insta can resolve Cargo-like snapshot paths. After native Bazel sharding was enabled for that wrapped target, rules_rust also inserted its own sharding wrapper around the Rust test binary. Those two wrappers did not compose: rules_rust's sharding wrapper expects to run from its own runfiles cwd, while `workspace_root_test` deliberately changes cwd to the repo root before invoking the test. In that configuration, the inner wrapper could fail to enumerate the Rust tests and exit successfully with empty shards, so snapshot regressions were not being exercised by Bazel. ## What Changed - Stop enabling rules_rust's inner `experimental_enable_sharding` for unit-test binaries created by `codex_rust_crate`. - Keep the configured `shard_count` on the outer `workspace_root_test` target. - Add libtest sharding directly to `workspace_root_test_launcher.sh.tpl` and `workspace_root_test_launcher.bat.tpl` after the launcher has resolved the actual test binary and established the intended repository-root cwd. - Partition tests by a stable FNV-1a hash of each libtest test name, matching the stable-shard behavior we wanted without depending on the inner rules_rust wrapper. - Preserve ad-hoc local test filters by running the resolved test binary directly when explicit test args are supplied. - On Windows, run selected libtest names from the shard list in bounded PowerShell batches instead of concatenating every selected test into one `cmd.exe` command line. This PR is stacked on top of #18912, which contains only the snapshot expectation updates exposed once the Bazel target actually runs the TUI unit tests. It is also the reason #18916 becomes visible: once this wrapper fix makes Bazel execute the affected `codex-core` test, that test needs its own executable-path setup fixed. ## Verification - `cargo test -p codex-tui` - `bazel test //codex-rs/tui:tui-unit-tests --test_output=errors` - `bazel test //codex-rs/tui:all --test_output=errors` - `bash -n workspace_root_test_launcher.sh.tpl` - Exercised the Windows PowerShell batching fragment locally with a fake test binary and shard-list file.
536952eeee
·
2026-04-21 18:35:47 -07:00
5,652 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.