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## Why The Python SDK previously protected the stdio transport with a single active turn-consumer guard. That avoided competing reads from stdout, but it also meant one `Codex`/`AsyncCodex` client could not stream multiple active turns at the same time. Notifications could also arrive before the caller received a `TurnHandle` and registered for streaming, so the SDK needed an explicit routing layer instead of letting individual API calls read directly from the shared transport. ## What Changed - Added a private `MessageRouter` that owns per-request response queues, per-turn notification queues, pending turn-notification replay, and global notification delivery behind a single stdout reader thread. - Generated typed notification routing metadata so turn IDs come from known payload shapes instead of router-side attribute guessing, with explicit fallback handling for unknown notification payloads. - Updated sync and async turn streaming so `TurnHandle.stream()`/`run()` and `stream_text()` consume only notifications for their own turn ID, while `AsyncAppServerClient` no longer serializes all transport calls behind one async lock. - Cleared pending turn-notification buffers when unregistered turns complete so never-consumed turn handles do not leave stale queues behind. - Removed the internal stream-until helper now that turn completion waiting can register directly with routed turn notifications. - Updated Python SDK docs and focused tests for concurrent transport calls, interleaved turn routing, buffered early notifications, unknown notification routing, async delegation, and routed turn completion behavior. ## Validation - `uv run --extra dev ruff format scripts/update_sdk_artifacts.py src/codex_app_server/_message_router.py src/codex_app_server/client.py src/codex_app_server/generated/notification_registry.py tests/test_client_rpc_methods.py tests/test_public_api_runtime_behavior.py tests/test_async_client_behavior.py` - `uv run --extra dev ruff check scripts/update_sdk_artifacts.py src/codex_app_server/_message_router.py src/codex_app_server/client.py src/codex_app_server/generated/notification_registry.py tests/test_client_rpc_methods.py tests/test_public_api_runtime_behavior.py tests/test_async_client_behavior.py` - `uv run --extra dev pytest tests/test_client_rpc_methods.py tests/test_public_api_runtime_behavior.py tests/test_async_client_behavior.py` - `git diff --check` --------- Co-authored-by: Codex <noreply@openai.com>
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.