82090803d9
Previous to this change, large `EscalateRequest` payloads exceeded the
kernel send buffer, causing our single `sendmsg(2)` call (with attached
FDs) to be split and retried without proper control handling; this led
to `EINVAL`/broken pipe in the
`handle_escalate_session_respects_run_in_sandbox_decision()` test when
using an `env` with large contents.
**Before:** `AsyncSocket::send_with_fds()` called `send_json_message()`,
which called `send_message_bytes()`, which made one `socket.sendmsg()`
call followed by additional `socket.send()` calls, as necessary:
2e4a402521/codex-rs/exec-server/src/posix/socket.rs (L198-L209)
**After:** `AsyncSocket::send_with_fds()` now calls
`send_stream_frame()`, which calls `send_stream_chunk()` one or more
times. Each call to `send_stream_chunk()` calls `socket.sendmsg()`.
In the previous implementation, the subsequent `socket.send()` writes
had no control information associated with them, whereas in the new
`send_stream_chunk()` implementation, a fresh `MsgHdr` (using
`with_control()`, as appropriate) is created for `socket.sendmsg()` each
time.
Additionally, with this PR, stream sending attaches `SCM_RIGHTS` only on
the first chunk, and omits control data when there are no FDs, allowing
oversized payloads to deliver correctly while preserving FD limits and
error checks.
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. If you use npm:
npm install -g @openai/codex
Alternatively, if you use Homebrew:
brew install --cask codex
Then simply run codex to get started:
codex
If you're running into upgrade issues with Homebrew, see the FAQ entry on brew upgrade codex.
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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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.
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Model Context Protocol (MCP)
Codex can access MCP servers. To configure them, refer to the config docs.
Configuration
Codex CLI supports a rich set of configuration options, with preferences stored in ~/.codex/config.toml. For full configuration options, see Configuration.
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See the Execpolicy quickstart to set up rules that govern what commands Codex can execute.
Docs & FAQ
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License
This repository is licensed under the Apache-2.0 License.