831ee51c86
## What changed - TypeScript schema fixture generation now goes through in-memory tree helpers rather than a heavier on-disk generation path. - The comparison logic normalizes generated banner and path differences that are not semantically relevant to the exported schema. - TypeScript and JSON fixture coverage are split into separate tests, and the expensive schema-export tests are serialized in `nextest`. ## Why this fixes the flake - The original fixture coverage mixed several heavy codegen paths into one monolithic test and then compared generated output that included incidental banner/path differences. - On Windows CI, that combination created both runtime pressure and output variance unrelated to the schema shapes we actually care about. - Splitting the coverage isolates failures by format, in-memory generation reduces filesystem churn, normalization strips generator noise, and serializing the heavy tests removes parallel resource contention. ## Scope - Production helper change plus test changes.
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.
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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.
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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.