## Why Unsupported features must fail closed and Codex must not expose OpenAI-hosted fallback paths when the active provider cannot support them. In practice, Bedrock should not surface app connectors, MCP servers, tool search/suggestions, image generation, web search, or JS REPL until those paths are explicitly supported for that provider. This PR moves that decision into provider-owned capability metadata instead of scattering Bedrock-specific checks across callers. ## What changed - Adds `ProviderCapabilities` to `codex-model-provider`, with default support for existing providers and a Bedrock override that disables unsupported launch surfaces. - Adds `ToolCapabilityBounds` to `codex-tools` so provider capability limits can clamp otherwise-enabled tool config. - Applies capability bounds when building session and review-thread tool config. - Routes MCP/app connector configuration through `McpManager::mcp_config`, which filters configured MCP servers and app connectors based on the active provider. - Updates app-server MCP list/read paths to use the filtered MCP config. - Adds coverage for default provider capabilities, Bedrock disabled capabilities, and optional tool-surface clamping. ## Testing built locally and verified that bedrock responses api now return without errors calling unsupported tools.
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.
