## Why Extensions that need to track runtime progress currently have no typed host signal for tool execution. The goal extension in particular needs to observe tool attempts without inspecting tool payloads, owning tool implementations, or staying coupled to core-only runtime plumbing. This adds a narrow lifecycle contributor API for host-owned tool execution: extensions can observe when an accepted tool call starts and how it finishes, while policy hooks and tool handlers continue to own payload rewriting, blocking, and execution. Relevant code: - [`ToolLifecycleContributor`](3ad2850ffc/codex-rs/ext/extension-api/src/contributors.rs (L119)) defines the extension-facing observer contract. - [`tool_lifecycle.rs`](3ad2850ffc/codex-rs/ext/extension-api/src/contributors/tool_lifecycle.rs) defines the typed start/finish inputs, source, and outcome enums. - [`notify_tool_start` / `notify_tool_finish`](3ad2850ffc/codex-rs/core/src/tools/lifecycle.rs) bridges core tool dispatch into the extension registry. ## What Changed - Added `ToolLifecycleContributor` to `codex-extension-api`, including: - `ToolStartInput` - `ToolFinishInput` - `ToolCallSource` - `ToolCallOutcome` - Added registration and lookup support on `ExtensionRegistryBuilder` / `ExtensionRegistry`. - Wired core tool dispatch to notify lifecycle contributors for: - accepted tool starts - completed tool calls, including the tool output success marker - pre-tool-use blocks - failures before or after the handler runs - cancellation/abort in the parallel tool path - Registered the goal extension as a lifecycle contributor and added the outcome filter it will use for goal progress accounting. ## Test Coverage - Added `dispatch_notifies_tool_lifecycle_contributors` to cover lifecycle notification ordering and outcomes for successful and handler-failed tool calls.
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.
