## Summary Improve `js_repl` behavior when the Node kernel hits a process-level failure (for example, an uncaught exception or unhandled Promise rejection). Instead of only surfacing a generic `js_repl kernel exited unexpectedly` after stdout EOF, `js_repl` now returns a clearer exec error for the active request, then resets the kernel cleanly. ## Why Some sandbox-denied operations can trigger Node errors that become process-level failures (for example, an unhandled EventEmitter `'error'` event). In that case: - the kernel process exits, - the host sees stdout EOF, - the user gets a generic kernel-exit error, - and the next request can briefly race with stale kernel state. This change improves that failure mode without monkeypatching Node APIs. ## Changes ### Kernel-side (`js_repl` Node process) - Add process-level handlers for: - `uncaughtException` - `unhandledRejection` - When one of these fires: - best-effort emit a normal `exec_result` error for the active exec - include actionable guidance to catch/handle async errors (including Promise rejections and EventEmitter `'error'` events) - exit intentionally so the host can reset/restart the kernel ### Host-side (`JsReplManager`) - Clear dead kernel state as soon as the stdout reader observes unexpected kernel exit/EOF. - This lets the next `js_repl` exec start a fresh kernel instead of hitting a stale broken-pipe path. ### Tests - Add regression coverage for: - uncaught async exception -> exec error + kernel recovery on next exec - Update forced-kernel-exit test to validate recovery behavior (next exec restarts cleanly) ## Impact - Better user-facing error for kernel crashes caused by uncaught/unhandled async failures. - Cleaner recovery behavior after kernel exit. ## Validation - `cargo test -p codex-core --lib tools::js_repl::tests::js_repl_uncaught_exception_returns_exec_error_and_recovers -- --exact` - `cargo test -p codex-core --lib tools::js_repl::tests::js_repl_forced_kernel_exit_recovers_on_next_exec -- --exact` - `just fmt` |
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| .codex/skills | ||
| .devcontainer | ||
| .github | ||
| .vscode | ||
| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk/typescript | ||
| shell-tool-mcp | ||
| third_party | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc.toml | ||
| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
| defs.bzl | ||
| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
| MODULE.bazel.lock | ||
| NOTICE | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| rbe.bzl | ||
| README.md | ||
| SECURITY.md | ||
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, Team, 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.