## Summary This PR fixes a race in `js_repl` tool-call draining that could leave an exec waiting indefinitely for in-flight tool calls to finish. The fix is in: - `/Users/fjord/code/codex-jsrepl-seq/codex-rs/core/src/tools/js_repl/mod.rs` ## Problem `js_repl` tracks in-flight tool calls per exec and waits for them to drain on completion/timeout/cancel paths. The previous wait logic used a check-then-wait pattern with `Notify` that could miss a wakeup: 1. Observe `in_flight > 0` 2. Drop lock 3. Register wait (`notified().await`) If `notify_waiters()` happened between (2) and (3), the waiter could sleep until another notification that never comes. ## What changed - Updated all exec-tool-call wait loops to create an owned notification future while holding the lock: - use `Arc<Notify>::notified_owned()` instead of cloning notify and awaiting later. - Applied this consistently to: - `wait_for_exec_tool_calls` - `wait_for_all_exec_tool_calls` - `wait_for_exec_tool_calls_map` This preserves existing behavior while eliminating the lost-wakeup window. ## Test coverage Added a regression test: - `wait_for_exec_tool_calls_map_drains_inflight_calls_without_hanging` The test repeatedly races waiter/finisher tasks and asserts bounded completion to catch hangs. ## Impact - No API changes. - No user-facing behavior changes intended. - Improves reliability of exec lifecycle boundaries when tool calls are still in flight. #### [git stack](https://github.com/magus/git-stack-cli) - ✅ `1` https://github.com/openai/codex/pull/11796 - 👉 `2` https://github.com/openai/codex/pull/11800 - ⏳ `3` https://github.com/openai/codex/pull/10673 - ⏳ `4` https://github.com/openai/codex/pull/10670
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 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.
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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.
