This PR cleans up the monolithic README by breaking it into a set navigable pages under docs/ (install, getting started, configuration, authentication, sandboxing and approvals, platform details, FAQ, ZDR, contributing, license). The top‑level README is now more concise and intuitive, (with corrected screenshots). It also consolidates overlapping content from codex-rs/README.md into the top‑level docs and updates links accordingly. The codex-rs README remains in place for now as a pointer and for continuity. Finally, added an extensive config reference table at the bottom of docs/config.md. --------- Co-authored-by: easong-openai <easong@openai.com>
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Advanced
Non-interactive / CI mode
Run Codex head-less in pipelines. Example GitHub Action step:
- name: Update changelog via Codex
run: |
npm install -g @openai/codex
export OPENAI_API_KEY="${{ secrets.OPENAI_KEY }}"
codex exec --full-auto "update CHANGELOG for next release"
Tracing / verbose logging
Because Codex is written in Rust, it honors the RUST_LOG environment variable to configure its logging behavior.
The TUI defaults to RUST_LOG=codex_core=info,codex_tui=info and log messages are written to ~/.codex/log/codex-tui.log, so you can leave the following running in a separate terminal to monitor log messages as they are written:
tail -F ~/.codex/log/codex-tui.log
By comparison, the non-interactive mode (codex exec) defaults to RUST_LOG=error, but messages are printed inline, so there is no need to monitor a separate file.
See the Rust documentation on RUST_LOG for more information on the configuration options.
Model Context Protocol (MCP)
The Codex CLI can be configured to leverage MCP servers by defining an mcp_servers section in ~/.codex/config.toml. It is intended to mirror how tools such as Claude and Cursor define mcpServers in their respective JSON config files, though the Codex format is slightly different since it uses TOML rather than JSON, e.g.:
# IMPORTANT: the top-level key is `mcp_servers` rather than `mcpServers`.
[mcp_servers.server-name]
command = "npx"
args = ["-y", "mcp-server"]
env = { "API_KEY" = "value" }
Tip
It is somewhat experimental, but the Codex CLI can also be run as an MCP server via
codex mcp. If you launch it with an MCP client such asnpx @modelcontextprotocol/inspector codex mcpand send it atools/listrequest, you will see that there is only one tool,codex, that accepts a grab-bag of inputs, including a catch-allconfigmap for anything you might want to override. Feel free to play around with it and provide feedback via GitHub issues.