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Abhinav
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## Why Customers need finer-grained control over allowed sandbox modes based on the host Codex is running on. For example, they may want stricter sandbox limits on devboxes while keeping a different default elsewhere. Our current cloud requirements can target user/account groups, but they cannot vary sandbox requirements by host. That makes remote development environments awkward because the same top-level `allowed_sandbox_modes` has to apply everywhere. ## What Adds a new `remote_sandbox_config` section to `requirements.toml`: ```toml allowed_sandbox_modes = ["read-only"] [[remote_sandbox_config]] hostname_patterns = ["*.org"] allowed_sandbox_modes = ["read-only", "workspace-write"] [[remote_sandbox_config]] hostname_patterns = ["*.sh", "runner-*.ci"] allowed_sandbox_modes = ["read-only", "danger-full-access"] ``` During requirements resolution, Codex resolves the local host name once, preferring the machine FQDN when available and falling back to the cleaned kernel hostname. This host classification is best effort rather than authenticated device proof. Each requirements source applies its first matching `remote_sandbox_config` entry before it is merged with other sources. The shared merge helper keeps that `apply_remote_sandbox_config` step paired with requirements merging so new requirements sources do not have to remember the extra call. That preserves source precedence: a lower-precedence requirements file with a matching `remote_sandbox_config` cannot override a higher-precedence source that already set `allowed_sandbox_modes`. This also wires the hostname-aware resolution through app-server, CLI/TUI config loading, config API reads, and config layer metadata so they all evaluate remote sandbox requirements consistently. ## Verification - `cargo test -p codex-config remote_sandbox_config` - `cargo test -p codex-config host_name` - `cargo test -p codex-core load_config_layers_applies_matching_remote_sandbox_config` - `cargo test -p codex-core system_remote_sandbox_config_keeps_cloud_sandbox_modes` - `cargo test -p codex-config` - `cargo test -p codex-core` unit tests passed; `tests/all.rs` integration matrix was intentionally stopped after the relevant focused tests passed - `just fix -p codex-config` - `just fix -p codex-core` - `cargo check -p codex-app-server`
ab26554a3a
·
2026-04-21 05:05:02 +00:00
5,608 Commits
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.