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## Why Tool registration used to bind a tool name to a handler externally, which left ownership split between the registry plan and the handler implementation. Some built-in handlers also multiplexed multiple in-core tools by switching on the invoked tool name internally. This moves the registry identity onto the handler itself and makes built-in multi-tool areas use separate concrete handlers, so each registered handler instance owns exactly one tool name and one dispatch path. ## What Changed - Added `ToolHandler::tool_name()` and changed `ToolRegistryBuilder::register_handler` to derive the registry key from the handler. - Split built-in multiplexed handlers into concrete per-tool handlers for unified exec, shell/local shell/container exec, MCP resources, goal tools, and agent job tools. - Kept name-carrying handler instances only where the runtime target is inherently external or dynamic, such as MCP tools, dynamic tools, and unavailable placeholders. - Updated `ToolHandlerKind` and registry-plan construction so plan entries map directly to concrete handler registrations. ## Verification - `cargo test -p codex-tools tool_registry_plan` - `cargo test -p codex-core --lib tools::registry_tests` - `just fix -p codex-tools` - `just fix -p codex-core`
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.