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## Why Codex still models model-visible tools and executable behavior largely inside `codex-core`, which makes it harder to evolve the tool system toward a single reusable abstraction for built-ins, MCP-backed tools, dynamic tools, and later tools injected from outside core. This PR takes the next incremental step in that direction by moving the common execution-facing pieces out of core and separating them from core-only orchestration. The intent is to let shared tool abstractions improve in one place, while `codex-core` keeps the parts that are still inherently host-specific today, such as `ToolInvocation`, dispatch wiring, and hook integration. This PR is mostly moving things around. The only interesting piece is this abstraction: https://github.com/openai/codex/pull/22359/changes#diff-81af519002548ba51ed102bdaaf77e081d40a1e73a6e5f9b104bbbc96a6f1b3dR13 ## What changed - Added `codex_tools::ToolExecutor<Invocation>` as the shared execution trait for model-visible tools. - Moved the reusable execution support types from `codex-core` into `codex-tools`: - `FunctionCallError` - `ToolPayload` - `ToolOutput` - Refactored core tool implementations so that execution behavior lives on `ToolExecutor<ToolInvocation>`, while `ToolHandler` remains the core-local extension point for hook payloads, telemetry tags, diff consumers, and other orchestration concerns. - Kept the registry and dispatch flow behaviorally unchanged while making the shared/extracted boundary explicit across built-in, MCP, dynamic, extension-backed, shell, and multi-agent tool handlers. ## Verification - `cargo test -p codex-tools` - `just fix -p codex-tools` - `just fix -p codex-core` - `cargo test -p codex-core` progressed through the updated tool surfaces and then hit the existing unrelated multi-agent stack overflow in `tools::handlers::multi_agents::tests::tool_handlers_cascade_close_and_resume_and_keep_explicitly_closed_subtrees_closed`.
1824685a00
·
2026-05-13 11:31:27 +02:00
6,441 Commits
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.