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## Why Remote environments may still be resolving when Codex creates a session or turn. Waiting for the existing all-or-nothing environment snapshot can hold startup until the selected environment is usable. Behind the default-off `deferred_executor` feature, let callers take a useful snapshot immediately: completed environments remain available normally, while unfinished environments are reported without blocking startup. With the feature disabled, snapshots preserve the existing blocking behavior. Depends on #28674. ## What changed - Store one ordered list of selected environments in `ThreadEnvironments`. Each selection owns one shared resolution that produces its complete `TurnEnvironment`. - Start new resolutions in the background with `remote_handle()`, allowing snapshots and the future wait tool to share the same result while cancellation follows the retained handles. - Make `snapshot()` a read-only operation: nonblocking snapshots collect completed resolutions and retain handles for unfinished ones, while blocking snapshots await every resolution. - Replace completed failed resolutions from the current manager entry and log when failed environments are omitted. - Return attached and starting environments as a point-in-time view, and count starting environments when deciding whether a snapshot is local-only. - Keep existing consumers attached-only. `to_selections()` derives from attached environments, so child threads do not inherit an environment that is still starting. ## Test plan - `just test -p codex-core environment_selection` - `just test -p codex-core deferred_executor_reaches_model_before_remote_environment_is_ready` ## Landing note Keep `deferred_executor` disabled for slow-starting executors until configurable `environment/add` connection timeouts and caller support land. When enabled, an environment that attaches after session startup may remain absent from environment-derived model context, tools, instructions, skills, and related state until follow-up refresh work lands.
45a133bae0
·
2026-06-19 05:06:34 +00:00
7,633 Commits
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
Run the following on Mac or Linux to install Codex CLI:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Run the following on Windows to install Codex CLI:
powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
Codex CLI can also be installed via the following package managers:
# 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.