## Summary
Give guardian network-access reviews the command context that triggered
a managed-network approval. The prompt JSON now includes the originating
tool call id, tool name, command argv, cwd, sandbox permissions,
additional permissions, justification, and tty state when a single
active tool call can be attributed.
The implementation keeps the trigger shape canonical by serializing
`GuardianNetworkAccessTrigger` directly and lets each runtime build that
trigger from its `ToolCtx`. Non-guardian approval prompts avoid cloning
the full trigger payload.
## UX changes
Guardian network-access reviews now include a `trigger` object that
explains what command caused the network approval. Instead of seeing
only the requested host, the guardian reviewer can also see the
originating tool call, argv, working directory, sandbox mode,
justification, and tty state.
Example payload the guardian reviewer can see:
```json
{
"tool": "network_access",
"target": "https://api.github.com:443",
"host": "api.github.com",
"protocol": "https",
"port": 443,
"trigger": {
"callId": "call_abc123",
"toolName": "shell",
"command": ["gh", "api", "/repos/openai/codex/pulls/18197"],
"cwd": "/workspace/codex",
"sandboxPermissions": "require_escalated",
"justification": "Fetch PR metadata from GitHub.",
"tty": false
}
}
```
The network review itself remains scoped to the network decision:
`target_item_id` stays `null`. `trigger.callId` is attribution context
only, so clients can still distinguish network reviews from
item-targeted command reviews.
## Verification
- Added coverage for serializing network trigger context in guardian
approval JSON.
- Added regression coverage that network guardian reviews do not reuse
`trigger.callId` as `target_item_id`.
---------
Co-authored-by: Codex <noreply@openai.com>
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.
