## Summary This is the AgentAssertion downstream slice for feature-gated agent identity support, replacing the oversized AgentAssertion slice from PR #17807. It isolates task-scoped downstream AgentAssertion wiring on top of the merged PR3.1 work without re-carrying the earlier agent registration, task registration, or task-state history. This PR includes the task-scoped bug-fix call sites from the review: generic file upload auth, MCP OpenAI file upload auth, and ARC monitor auth. Broader user/control-plane calls move to PR4.1 and PR4.2. ## Stack - PR1: https://github.com/openai/codex/pull/17385 - add `features.use_agent_identity` - PR2: https://github.com/openai/codex/pull/17386 - register agent identities when enabled - PR3: https://github.com/openai/codex/pull/17387 - register agent tasks when enabled - PR3.1: https://github.com/openai/codex/pull/17978 - persist and prewarm registered tasks per thread - PR4: this PR - use task-scoped `AgentAssertion` downstream when enabled - PR4.1: https://github.com/openai/codex/pull/18094 - introduce AuthManager-owned background/control-plane `AgentAssertion` auth - PR4.2: https://github.com/openai/codex/pull/18260 - use background task auth for additional backend/control-plane calls ## What Changed - add AgentAssertion envelope generation in `codex-core` - route downstream HTTP and websocket auth through AgentAssertion when an agent task is present - extend the model-provider auth provider so non-bearer authorization schemes can be passed through cleanly - make generic file uploads attach the full authorization header value - make MCP OpenAI file uploads use the cached thread agent task assertion when present - make ARC monitor calls use the cached thread agent task assertion when present ## Why The original PR had drifted ancestry and showed a much larger diff than the semantic change actually required. Restacking it onto PR3.1 keeps the reviewable surface down to the downstream assertion slice. ## Validation - `just fmt` - `cargo check -p codex-core -p codex-login -p codex-analytics -p codex-app-server -p codex-cloud-requirements -p codex-cloud-tasks -p codex-models-manager -p codex-chatgpt -p codex-model-provider -p codex-mcp -p codex-core-skills` - `cargo test -p codex-model-provider bearer_auth_provider` - `cargo test -p codex-core agent_assertion` - `cargo test -p codex-app-server remote_control` - `cargo test -p codex-cloud-requirements fetch_cloud_requirements` - `cargo test -p codex-models-manager manager::tests` - `cargo test -p codex-chatgpt` - `cargo test -p codex-cloud-tasks` - `cargo test -p codex-login agent_identity` - `just fix -p codex-core -p codex-login -p codex-analytics -p codex-app-server -p codex-cloud-requirements -p codex-cloud-tasks -p codex-models-manager -p codex-chatgpt -p codex-model-provider -p codex-mcp -p codex-core-skills` - `just fix -p codex-app-server` - `git diff --check`
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
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You can also use Codex with an API key, but this requires additional setup.
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This repository is licensed under the Apache-2.0 License.
