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Charley Cunningham
e84ee33cc0
## Summary - add the guardian reviewer flow for `on-request` approvals in command, patch, sandbox-retry, and managed-network approval paths - keep guardian behind `features.guardian_approval` instead of exposing a public `approval_policy = guardian` mode - route ordinary `OnRequest` approvals to the guardian subagent when the feature is enabled, without changing the public approval-mode surface ## Public model - public approval modes stay unchanged - guardian is enabled via `features.guardian_approval` - when that feature is on, `approval_policy = on-request` keeps the same approval boundaries but sends those approval requests to the guardian reviewer instead of the user - `/experimental` only persists the feature flag; it does not rewrite `approval_policy` - CLI and app-server no longer expose a separate `guardian` approval mode in this PR ## Guardian reviewer - the reviewer runs as a normal subagent and reuses the existing subagent/thread machinery - it is locked to a read-only sandbox and `approval_policy = never` - it does not inherit user/project exec-policy rules - it prefers `gpt-5.4` when the current provider exposes it, otherwise falls back to the parent turn's active model - it fail-closes on timeout, startup failure, malformed output, or any other review error - it currently auto-approves only when `risk_score < 80` ## Review context and policy - guardian mirrors `OnRequest` approval semantics rather than introducing a separate approval policy - explicit `require_escalated` requests follow the same approval surface as `OnRequest`; the difference is only who reviews them - managed-network allowlist misses that enter the approval flow are also reviewed by guardian - the review prompt includes bounded recent transcript history plus recent tool call/result evidence - transcript entries and planned-action strings are truncated with explicit `<guardian_truncated ... />` markers so large payloads stay bounded - apply-patch reviews include the full patch content (without duplicating the structured `changes` payload) - the guardian request layout is snapshot-tested using the same model-visible Responses request formatter used elsewhere in core ## Guardian network behavior - the guardian subagent inherits the parent session's managed-network allowlist when one exists, so it can use the same approved network surface while reviewing - exact session-scoped network approvals are copied into the guardian session with protocol/port scope preserved - those copied approvals are now seeded before the guardian's first turn is submitted, so inherited approvals are available during any immediate review-time checks ## Out of scope / follow-ups - the sandbox-permission validation split was pulled into a separate PR and is not part of this diff - a future follow-up can enable `serde_json` preserve-order in `codex-core` and then simplify the guardian action rendering further --------- Co-authored-by: Codex <noreply@openai.com>
e84ee33cc0
·
2026-03-07 05:40:10 -08:00
4,328 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, 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.