## Why Standalone image-generation extensions emitted turn items through the low-level event path, bypassing host-owned finalization such as image persistence and contributor processing. At the same time, the generated-image save-path hint must remain visible to the model through the extension tool's `FunctionCallOutput`, rather than the legacy built-in developer-message path. ## What changed - Extended `ExtensionTurnItem` to support image-generation items while keeping the extension-facing emitter API limited to `emit_started` and `emit_completed`. - Routed extension completion through core `finalize_turn_item`, so standalone image-generation items receive host-owned processing and persisted `saved_path` values before publication. - Kept legacy built-in image generation on its existing developer-message hint path, while standalone image generation returns its deterministic saved-path hint in `FunctionCallOutput`. - Shared the image artifact path and output-hint formatting used by core and the image-generation extension. - Passed thread identity through extension tool calls so standalone image generation can construct the same intended artifact path as core. - Added an app-server integration test covering real standalone image generation, saved artifact publication, model-visible output hint wiring, and absence of the legacy developer-message hint. ## Validation - `just fmt` - `just test -p codex-image-generation-extension` - `just test -p codex-web-search-extension` - `just test -p codex-goal-extension` - `just test -p codex-memories-extension` - Targeted `codex-core` tests for image save history, extension completion finalization, and contributor execution - `just test -p codex-app-server standalone_image_generation_returns_saved_path_hint_to_model` - `just fix -p codex-core` - `just fix -p codex-image-generation-extension` - `just bazel-lock-update` - `just bazel-lock-check`
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
Run the following on Mac or Linux to install Codex CLI:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Run the following on Windows to install Codex CLI:
powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
Codex CLI can also be installed via the following package managers:
# 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.
