## Summary Add flat profiling fields to `codex_turn_event` so analytics can explain where turn wall-clock time is spent without changing tool execution behavior. The profile reports: - time before the first sampling request - sampling time across all attempts and follow-ups - overhead between sampling requests - time blocked in the post-sampling tool drain - time after the final sampling request - sampling request and retry counts ## Implementation - Extend the existing turn timing state with constant-memory phase accounting and one RAII phase guard. - Observe sampling and the existing post-sampling drain only at turn orchestration boundaries. - Keep tool runtime, tool futures, response item handling, and turn lifecycle values unchanged. - Add the profiling fields directly to the existing analytics turn event without changing app-server protocol or rollout persistence. - Use the existing turn `status` to distinguish completed, failed, and interrupted profiles. Exact sampling/tool overlap is intentionally omitted because measuring tool completion accurately would require hooks in the tool execution path. ## Validation - Add app-server end-to-end coverage for a single-sampling turn with no blocking tool work. - Add app-server end-to-end coverage for `request_user_input` blocking followed by a second sampling request. - CI is running on the PR; tests were not executed locally per repository guidance.
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.
