## Summary - add an explicit `mcp.tools.call` span around MCP tool execution in core - keep MCP span validation local to `mcp_tool_call_tests` instead of broadening the integration test suite - inline the turn/session correlation fields directly in the span initializer ## Included Changes - `codex-rs/core/src/mcp_tool_call.rs`: wrap the existing MCP tool call in `mcp.tools.call` and inline `conversation.id`, `session.id`, and `turn.id` in the span initializer - `codex-rs/core/src/mcp_tool_call_tests.rs`: assert the MCP span records the expected correlation and server fields ## Testing - `cargo test -p codex-core` - `just fmt` ## Notes - `cargo test -p codex-core` still hits existing unrelated failures in guardian-config tests and the sandboxed JS REPL `mktemp` test - metric work moved to stacked PR #15792 - transport-level RMCP spans and trace propagation remain in stacked PR #15792 - full workspace `cargo test` was not run --------- Co-authored-by: Codex <noreply@openai.com>
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.
