Michael Bolin 503186b31f feat: reserve loopback ephemeral listeners for managed proxy (#11269)
Codex may run many per-thread proxy instances, so hardcoded proxy ports
are brittle and conflict-prone. The previous "ephemeral" approach still
had a race: `build()` read `local_addr()` from temporary listeners and
dropped them before `run()` rebound the ports. That left a
[TOCTOU](https://en.wikipedia.org/wiki/Time-of-check_to_time-of-use)
window where the OS (or another process) could reuse the same port,
causing intermittent `EADDRINUSE` and partial proxy startup.

Change the managed proxy path to reserve real listener sockets up front
and keep them alive until startup:

- add `ReservedListeners` on `NetworkProxy` to hold HTTP/SOCKS/admin std
listeners allocated during `build()`
- in managed mode, bind `127.0.0.1:0` for each listener and carry those
bound sockets into `run()` instead of rebinding by address later
- add `run_*_with_std_listener` entry points for HTTP, SOCKS5, and admin
servers so `run()` can start services from already-reserved sockets
- keep static/configured ports only when `managed_by_codex(false)`,
including explicit `socks_addr` override support
- remove fallback synthetic port allocation and add tests for managed
ephemeral loopback binding and unmanaged configured-port behavior

This makes managed startup deterministic, avoids port collisions, and
preserves the intended distinction between Codex-managed ephemeral ports
and externally managed fixed ports.
503186b31f · 2026-02-10 06:11:02 +00:00
3,514 Commits
2026-01-08 07:50:58 -08:00
2025-04-16 12:56:08 -04:00
2026-02-06 14:41:53 +01:00
2025-04-16 12:56:08 -04:00
2025-07-31 00:06:55 +00:00
2026-01-31 20:33:06 +00:00

npm i -g @openai/codex
or brew install --cask codex

Codex CLI is a coding agent from OpenAI that runs locally on your computer.

Codex CLI splash


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
  • Linux
    • x86_64: codex-x86_64-unknown-linux-musl.tar.gz
    • arm64: codex-aarch64-unknown-linux-musl.tar.gz

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.

S
Description
No description provided
Readme Apache-2.0 156 MiB
Languages
Rust 96.1%
Python 2.9%
Shell 0.3%
Starlark 0.2%
TypeScript 0.2%
Other 0.1%