## Summary Some background. We're looking to instrument GA turns end to end. Right now a big gap is grouping mcp tool calls with their codex sessions. We send session id and turn id headers to the responses call but not the mcp/wham calls. Ideally we could pass the args as headers like with responses, but given the setup of the rmcp client, we can't send as headers without either changing the rmcp package upstream to allow per request headers or introducing a mutex which break concurrency. An earlier attempt made the assumption that we had 1 client per thread, which allowed us to set headers at the start of a turn. @pakrym mentioned that this assumption might break in the near future. So the solution now is to package the turn metadata/session id into the _meta field in the post body and pull out in codex-backend. - send turn metadata to MCP servers via `tools/call` `_meta` instead of assuming per-thread request headers on shared clients - preserve the existing `_codex_apps` metadata while adding `x-codex-turn-metadata` for all MCP tool calls - extend tests to cover both custom MCP servers and the codex apps search flow --------- Co-authored-by: Codex <noreply@openai.com> |
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| codex-cli | ||
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| docs | ||
| patches | ||
| scripts | ||
| sdk | ||
| shell-tool-mcp | ||
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| tools/argument-comment-lint | ||
| .bazelignore | ||
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| .markdownlint-cli2.yaml | ||
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| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
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| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
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| 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.