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## Why `PermissionProfile` should describe filesystem roots as absolute paths at the type level. Using `PathBuf` in `FileSystemPermissions` made the shared type too permissive and blurred together three different deserialization cases: - skill metadata in `agents/openai.yaml`, where relative paths should resolve against the skill directory - app-server API payloads, where callers should have to send absolute paths - local tool-call payloads for commands like `shell_command` and `exec_command`, where `additional_permissions.file_system` may legitimately be relative to the command `workdir` This change tightens the shared model without regressing the existing local command flow. ## What Changed - changed `protocol::models::FileSystemPermissions` and the app-server `AdditionalFileSystemPermissions` mirror to use `AbsolutePathBuf` - wrapped skill metadata deserialization in `AbsolutePathBufGuard`, so relative permission roots in `agents/openai.yaml` resolve against the containing skill directory - kept app-server/API deserialization strict, so relative `additionalPermissions.fileSystem.*` paths are rejected at the boundary - restored cwd/workdir-relative deserialization for local tool-call payloads by parsing `shell`, `shell_command`, and `exec_command` arguments under an `AbsolutePathBufGuard` rooted at the resolved command working directory - simplified runtime additional-permission normalization so it only canonicalizes and deduplicates absolute roots instead of trying to recover relative ones later - updated the app-server schema fixtures, `app-server/README.md`, and the affected transport/TUI tests to match the final behavior
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.