## Why Device-key providers should only own platform key material. The account/client binding used to authorize a signing payload is app-server state, and keeping that state in provider-specific metadata makes the same check harder to audit and harder to share across platform implementations. Persisting the binding in the shared state database gives the device-key crate a platform-neutral source of truth before it asks a provider to sign. It also lets app-server move potentially blocking key operations off the main message processor path, which matters once providers may wait for OS authentication prompts. ## What changed - Add a `device_key_bindings` state migration plus `StateRuntime` helpers keyed by `key_id`. - Add an async `DeviceKeyBindingStore` abstraction to `codex-device-key` and use it from `DeviceKeyStore::create` and `DeviceKeyStore::sign`. - Keep provider calls behind async store methods and run the synchronous provider work through `spawn_blocking`. - Wire app-server device-key RPC handling to the SQLite-backed binding store and spawn response/error delivery tasks for device-key requests. - Run the turn-start tracing test on the existing larger current-thread test harness after the larger async surface made the default test stack too small locally. ## Validation - `cargo test -p codex-device-key` - `cargo test -p codex-state device_key` - `cargo test -p codex-state` - `cargo test -p codex-app-server device_key` - `cargo test -p codex-app-server message_processor::tracing_tests::turn_start_jsonrpc_span_parents_core_turn_spans` - `cargo test -p codex-app-server` - `just fix -p codex-device-key` - `just fix -p codex-state` - `just fix -p codex-app-server` - `just bazel-lock-update` - `just bazel-lock-check` - `git diff --check`
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.
