This cleans up a bunch of metric plumbing that had started to drift. The main change is making `codex-otel` the canonical home for shared metric definitions and metric tag helpers. I moved the `turn/thread` metric names that were still duplicated into the OTEL metric registry, added a shared `metrics::tags` module for common tag keys and session tag construction, and updated `SessionTelemetry` to build its metadata tags through that shared path. On the codex-core side, TTFT/TTFM now use the shared metric-name constants instead of local string definitions. I also switched the obvious remaining turn/thread metric callsites over to the shared constants, and added a small helper so TTFT/TTFM can attach an optional sanitized client.name tag from TurnContext. This should make follow-on telemetry work less ad hoc: - one canonical place for metric names - one canonical place for common metric tag keys/builders - less duplication between `codex-core` and `codex-otel` |
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|---|---|---|
| .codex/skills | ||
| .devcontainer | ||
| .github | ||
| .vscode | ||
| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk/typescript | ||
| shell-tool-mcp | ||
| third_party | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc.toml | ||
| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
| defs.bzl | ||
| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
| MODULE.bazel.lock | ||
| NOTICE | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| rbe.bzl | ||
| README.md | ||
| SECURITY.md | ||
| workspace_root_test_launcher.bat.tpl | ||
| workspace_root_test_launcher.sh.tpl | ||
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.