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## Why Slow Codex turns are easier to debug when token usage is visible in the trace itself, without joining against separate analytics. This adds token usage to existing turn-handling spans for regular user turns only. [Example turn](https://openai.datadoghq.com/apm/trace/9d353efa2cb5de1f4c5b93dc33c3df04?colorBy=service&graphType=flamegraph&shouldShowLegend=true&sort=time&spanID=3555541504891512675&spanViewType=metadata&traceQuery=) <img width="1447" height="967" alt="Screenshot 2026-04-24 at 3 03 07 PM" src="https://github.com/user-attachments/assets/ab7bb187-e7fc-41f0-a366-6c44610b2b2c" /> ## What Changed Added response-level token fields on completed handle_responses spans: gen_ai.usage.input_tokens gen_ai.usage.cache_read.input_tokens gen_ai.usage.output_tokens codex.usage.reasoning_output_tokens codex.usage.total_tokens Added aggregate token fields on regular turn spans: codex.turn.token_usage.* Added an explicit regular-turn opt-in via SessionTask::records_turn_token_usage_on_span() so this is not coupled to span-name strings. ## Testing - `cargo test -p codex-otel` - `cargo test -p codex-core turn_and_completed_response_spans_record_token_usage` - `just fmt` - `just fix -p codex-core` - `just fix -p codex-otel` - Manual local Electron/app-server smoke test: regular user turn emits the new span fields Known status: `cargo test -p codex-core` was attempted and failed in unrelated existing areas: config approvals, request-permissions, git-info ordering, and subagent metadata persistence.
de2ccf9473
·
2026-04-28 11:41:32 -07:00
5,925 Commits
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.