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## Why `ToolRouter::tool_supports_parallel()` was still consulting configured specs when a handler lookup missed, even though parallel schedulability is really a property of the executable handler. Keeping that metadata on `ConfiguredToolSpec` duplicated state between the model-visible spec layer and the runtime handler layer. This change makes handlers the sole source of truth for parallel tool support and removes the extra spec wrapper that only existed to carry duplicated metadata. ## What changed - removed `ConfiguredToolSpec` and store plain `ToolSpec` values in the registry/router builder path - changed `ToolRouter::tool_supports_parallel()` to consult only the handler registry and fall back to `false` - simplified spec collection and test helpers to operate directly on `ToolSpec` - updated router/spec tests to cover handler-owned parallel behavior and the no-handler fallback ## Validation - `cargo test -p codex-tools` - `cargo test -p codex-core mcp_parallel_support_uses_handler_data` - `cargo test -p codex-core deferred_responses_api_tool_serializes_with_defer_loading` - `cargo test -p codex-core tools_without_handlers_do_not_support_parallel` - `cargo test -p codex-core request_plugin_install_can_be_registered_without_search_tool` ## Docs No documentation updates needed.
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.