Codex CLI Configuration Guide

Configure and extend OpenAI Codex CLI for optimal development workflows.

Quick Reference

Core Configuration

Edit ~/.codex/config.toml for all settings:

# Model settings
model = "gpt-5-codex"
model_reasoning_effort = "medium"  # minimal|low|medium|high|xhigh

# Security
sandbox_mode = "workspace-write"   # read-only|workspace-write|danger-full-access
approval_policy = "on-failure"     # untrusted|on-failure|on-request|never

# Trust specific projects
[projects."/path/to/project"]
trust_level = "trusted"

For detailed config options: See references/config-toml.md

Sandbox and Approval Policies

Sandbox modes control file system access:

• •read-only - Can only read files, no writes
• •workspace-write - Write within project directory only
• •danger-full-access - Full system access (use carefully)

Approval policies control command execution:

• •untrusted - Only trusted commands run without approval
• •on-failure - Auto-run, ask approval only on failures
• •on-request - Model decides when to ask
• •never - Never ask (dangerous)

For security deep dive: See references/sandbox-approval.md

Adding MCP Servers

Via CLI (Recommended)

codex mcp add context7 -- npx -y @upstash/context7-mcp
codex mcp add myserver --env API_KEY=xxx -- node server.js

Via config.toml

[mcp_servers.context7]
command = "npx"
args = ["-y", "@upstash/context7-mcp"]

[mcp_servers.figma]
url = "https://mcp.figma.com/mcp"
bearer_token_env_var = "FIGMA_OAUTH_TOKEN"

For full MCP options: See references/mcp-servers.md

Creating Codex Skills

Skills extend Codex with specialized knowledge. Structure:

~/.codex/skills/my-skill/
├── SKILL.md          # Required: instructions + metadata
├── scripts/          # Optional: executable code
├── references/       # Optional: detailed docs
└── assets/           # Optional: templates

Minimal SKILL.md:

---
name: my-skill
description: When to trigger this skill
---

Instructions for Codex when using this skill.

Quick start: Ask Codex to use $skill-creator to bootstrap a new skill.

For skill development guide: See references/creating-skills.md

Model and Provider Settings

# Use specific model
model = "gpt-5-codex"

# Reasoning effort (Responses API)
model_reasoning_effort = "high"  # minimal|low|medium|high|xhigh

# Verbosity (GPT-5)
model_verbosity = "medium"  # low|medium|high

# Use local provider (LM Studio/Ollama)
model_provider = "oss"

For local LLM setup: See references/model-providers.md

Feature Flags

Enable experimental features in [features]:

[features]
# Stable
shell_tool = true
parallel = true
view_image_tool = true

# Beta
unified_exec = true
shell_snapshot = true

# Experimental
skills = true
tui2 = true

Common Workflows

Full Autonomous Mode

codex --full-auto "implement feature X"
# Equivalent to: -a on-request --sandbox workspace-write

Dangerous Bypass (CI/sandboxed environments only)

codex --dangerously-bypass-approvals-and-sandbox "run tests"

Project-Specific Trust

[projects."/home/user/trusted-project"]
trust_level = "trusted"

Codex vs Claude Code

Reference Files

• •references/config-toml.md - Complete config.toml reference
• •references/sandbox-approval.md - Security policies deep dive
• •references/mcp-servers.md - MCP server configuration
• •references/creating-skills.md - Skill development guide
• •references/model-providers.md - Model and provider settings