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## Summary - replace the one-shot lazy remote exec-server cache with a lock-protected current client - when the cached websocket client is already disconnected, create one fresh websocket client/session on the next `get()` - keep existing disconnect failure behavior for old process sessions and HTTP body streams; do not add session resume or request retry ## Why The prior PR direction was trying to grow into session restore: resume the old `session_id`, preserve existing process handles, and add reconnect retry policy. That is more machinery than we want for this slice. For now, the useful minimum is simpler: later fresh remote operations should not be stuck behind a dead cached websocket client, but anything already attached to the dead connection should fail loudly through the existing disconnect path. The server already has detached-session cleanup via its existing TTL, so this PR does not need to add client-side session preservation. ## What Changed - `LazyRemoteExecServerClient::get()` now keeps the current concrete client in a small mutex-protected cache plus one async connect lock. - If that cached client is still connected, `get()` returns it. - If that cached websocket client has observed the transport close, `get()` creates a brand-new websocket client with a brand-new exec-server session and replaces the cache. - If that cached client is stdio-backed, behavior stays one-shot: the dead client is returned and later work surfaces the existing disconnect error. - No `resume_session_id`, backoff, request replay, or existing `RemoteExecProcess` rebinding is added here. - Added focused websocket coverage that proves two concurrent `get()` calls after disconnect share one fresh replacement client/session.
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.