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## Summary - Use the session-loaded plugin app IDs as the source of connector suggestion candidates. - Remove the redundant plugin reload from `tool_suggest_connector_ids()`. - Add regression coverage for connectors declared by a loaded remote plugin, using the Databricks app case. ## Context Loaded remote plugins can declare app connector IDs in `.app.json`. The session-owned `PluginsManager` already loads those plugins and exposes their effective app IDs. The connector suggestion path was creating a separate `PluginsManager` and recomputing plugin app IDs. That new manager does not share the session manager’s remote installed plugin cache, so app IDs from loaded remote plugins were missing from connector suggestions. ## Fix Pass the already-loaded effective app IDs into connector suggestion generation and use them directly as the plugin-derived connector candidate set. Connector candidates are now built from: - App IDs declared by loaded plugins - Explicitly configured connector discoverables - Existing disabled-suggestion filtering This avoids a second plugin-manager lookup and keeps connector suggestions aligned with the plugins actually loaded for the turn. ## Behavior For example, when a plugin is loaded and its `.app.json` declares data apps, `list_available_plugins_to_install` can now return those data connectors. This does not create plugin suggestions from the plugin itself. Plugin suggestions still come from eligible uninstalled entries in the marketplace catalog and require existing matching/filtering rules. ## Validation - `just fmt` - Added regression coverage for a loaded-plugin connector ID appearing in discoverable tools - Attempted `just test -p codex-core`; the command exited unsuccessfully in the local test environment without useful failure detail captured in the run output
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.