OpenAI Codex CLI — Official Coding Agent
OpenAI official coding agent CLI. Supports Agent Skills, custom prompts, and IDE integration. Open-source alternative to Cursor.
What it is
OpenAI Codex CLI is OpenAI's official open-source coding agent that runs in the terminal. It connects to GPT models to generate code, edit files, run commands, and scaffold projects. The CLI supports custom prompts, agent skills for specialized tasks, and integration with code editors.
Codex CLI targets developers who prefer terminal-based workflows over GUI-based AI coding tools. It provides the same code generation capabilities as cloud-based solutions but runs locally in your terminal with direct file system access.
How it saves time or tokens
Codex CLI operates directly on your codebase. It reads project files, understands context, and makes targeted edits without you needing to copy-paste code into a chat interface. The agent maintains conversation context across multiple interactions, so you can iteratively refine code without re-explaining the project structure.
Custom agent skills let you define reusable workflows for common tasks like generating tests, refactoring modules, or creating documentation. Once configured, these skills execute with a single command.
How to use
- Install Codex CLI:
npm install -g @openai/codex
- Set your API key:
export OPENAI_API_KEY=your-key-here
- Start Codex in your project directory:
codex
- Or run without installing:
npx @openai/codex
Example
# Generate a REST API handler
codex 'Create a POST /api/users endpoint that validates
email and password, hashes the password with bcrypt,
and saves to the users table'
# Run with a specific model
codex --model gpt-4o 'Refactor this file to use async/await
instead of callbacks'
# Use in non-interactive mode for CI/CD
codex --quiet --approve 'Add JSDoc comments to all
exported functions in src/utils/'
Codex reads the surrounding code, generates the changes, and presents a diff for review before applying.
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Common pitfalls
- Codex CLI requires an OpenAI API key with access to GPT-4 or newer models. The agent consumes tokens for every interaction, and complex tasks can use significant token budgets. Monitor your API usage.
- The CLI operates on files in the current directory. Running it in the wrong directory can result in edits to unintended files. Always verify your working directory before starting a session.
- Agent skills are defined in configuration files. Poorly written skill prompts produce inconsistent results. Test skills on small files before applying them to entire projects.
Frequently Asked Questions
Both are terminal-based AI coding agents. Codex CLI uses OpenAI's GPT models, while Claude Code uses Anthropic's Claude models. Claude Code has deeper integration with its model's capabilities like extended context. Codex CLI is open-source and supports custom agent skills.
Codex CLI is designed to work with OpenAI's API. It does not natively support local models. However, you can point it at OpenAI-compatible API endpoints served by tools like Ollama or vLLM by setting a custom base URL.
Yes. Codex CLI supports non-interactive mode with the --quiet and --approve flags. This lets you run code generation and refactoring tasks as part of automated workflows. Set the OPENAI_API_KEY environment variable in your CI environment.
Codex CLI supports any programming language that GPT models can handle, which includes all major languages. The quality of output depends on the model's training data for each language. Python, JavaScript, TypeScript, Go, and Rust produce the best results.
The CLI tool itself is open-source and free. However, it requires an OpenAI API key, and API usage is billed by OpenAI based on token consumption. Costs vary by model and usage volume.
Citations (3)
- Codex CLI GitHub— OpenAI official open-source coding agent CLI
- OpenAI Codex Documentation— Supports agent skills and custom prompts
- OpenAI API Documentation— GPT model API integration
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Source & Thanks
Created by OpenAI. Licensed under Apache 2.0. codex — ⭐ 68,200+ Docs: developers.openai.com/codex