Codex CLI Config Generator
Generate a working OpenAI Codex CLI setup: config.toml with model, reasoning effort, approval policy, sandbox mode, and MCP servers, plus an AGENTS.md project context file.
Generate a working Codex CLI config.toml
OpenAI’s Codex CLI is configured with a TOML file at ~/.codex/config.toml plus an AGENTS.md instructions file. This tool builds both from a short form, with copy and download for each — no TOML syntax to memorize.
Install Codex CLI
npm install -g @openai/codexOr via Homebrew: brew install --cask codex.
What the config controls
- model — the Codex model, e.g.
gpt-5.2-codexor the cheapergpt-5.1-codex-mini. - model_reasoning_effort — minimal, low, medium, high, or xhigh (xhigh on codex-max / 5.2 only).
- approval_policy — untrusted, on-failure, on-request, or never; controls when Codex asks before acting.
- sandbox_mode — read-only, workspace-write, or danger-full-access.
- [mcp_servers.*] — Model Context Protocol servers (Filesystem, GitHub, Context7, Playwright, Postgres) configured in the same file.
AGENTS.md
Codex reads AGENTS.md from your project root (and ~/.codex/AGENTS.md globally). The optional in-browser AI writes a tailored one from a plain-English description of your project — it runs entirely in your browser via WebGPU and never uploads your description.
FAQ
Where does config.toml go?
Global config lives at ~/.codex/config.toml; a project can override it at <project>/.codex/config.toml.
Does it send my data anywhere?
No — the config is generated locally in your browser, and the optional AGENTS.md writer also runs locally.
Generate a working Codex CLI config.toml
OpenAI’s Codex CLI is configured with a TOML file at ~/.codex/config.toml plus an AGENTS.md instructions file. This tool builds both from a short form, with copy and download for each — no TOML syntax to memorize.
Install Codex CLI
npm install -g @openai/codexOr via Homebrew: brew install --cask codex.
What the config controls
- model — the Codex model, e.g.
gpt-5.2-codexor the cheapergpt-5.1-codex-mini. - model_reasoning_effort — minimal, low, medium, high, or xhigh (xhigh on codex-max / 5.2 only).
- approval_policy — untrusted, on-failure, on-request, or never; controls when Codex asks before acting.
- sandbox_mode — read-only, workspace-write, or danger-full-access.
- [mcp_servers.*] — Model Context Protocol servers (Filesystem, GitHub, Context7, Playwright, Postgres) configured in the same file.
AGENTS.md
Codex reads AGENTS.md from your project root (and ~/.codex/AGENTS.md globally). The optional in-browser AI writes a tailored one from a plain-English description of your project — it runs entirely in your browser via WebGPU and never uploads your description.
FAQ
Where does config.toml go?
Global config lives at ~/.codex/config.toml; a project can override it at <project>/.codex/config.toml.
Does it send my data anywhere?
No — the config is generated locally in your browser, and the optional AGENTS.md writer also runs locally.
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ℹ️ Disclaimer
This tool is provided for informational and educational purposes only. All processing happens entirely in your browser - no data is sent to or stored on our servers. While we strive for accuracy, we make no warranties about the completeness or reliability of results. Use at your own discretion.