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OpenAI Codex Installation & Configuration Guide ​ ​

OpenAI Codex is a powerful AI code generation tool that understands natural language and generates high-quality code. This guide will help you complete the installation and configuration of Codex.

What is OpenAI Codex? ​ ​

OpenAI Codex is an AI programming assistant developed by OpenAI, trained on GPT models and specifically designed for:

  • Code generation and completion
  • Code explanation and documentation generation
  • Programming Q&A
  • Multi-language programming support

System Requirements ​ ​

Basic Requirements ​ ​

  • Operating System : Windows 10/11, macOS 10.14+, Linux Ubuntu 18.04+
  • Python : 3.7 or higher
  • Network Connection : Stable internet connection required
  • API Access : OpenAI API account
  • 8GB+ memory
  • Stable network environment
  • Modern code editor (VS Code, PyCharm, etc.)

Installation Steps ​ ​

1. Install OpenAI Codex CLI ​ ​

bash

npm install -g @openai/codex

Method 2: Homebrew Install (macOS) ​ ​

bash

brew install codex

Method 3: Direct Binary Download ​ ​

Visit the GitHub Releases page and download the binary file for your system:

Supported Platforms:

  • macOS (Apple Silicon/arm64 and x86_64)
  • Linux (x86_64 and arm64)

Installation Steps:

  1. Download the binary file for your platform
  2. Extract to a directory in your system PATH
  3. Ensure the file has execute permissions

bash

# Example: Linux/macOS
chmod +x codex
sudo mv codex /usr/local/bin/

2. Verify Installation ​ ​

bash

# Check version
codex --version

# Launch CLI
codex

# Bypass approvals and sandbox mode (Advanced usage)
codex --dangerously-bypass-approvals-and-sandbox

Warning : The --dangerously-bypass-approvals-and-sandbox parameter bypasses security approvals and sandbox restrictions. Use with caution.

2. Environment Configuration ​ ​

powershell

$env:OPENAI_BASE_URL = "your_url"
$env:OPENAI_API_KEY = "your_key"

Method 2: Command Prompt (CMD) ​ ​

cmd

set OPENAI_BASE_URL=your_url
set OPENAI_API_KEY=your_key

Method 3: Permanent Setup (using setx command) ​ ​

cmd

setx OPENAI_BASE_URL "your_url"
setx OPENAI_API_KEY "your_key"

Permanent Setup (add to system environment variables) ​ ​

**macOS/Linux:**
```bash
# Temporary setting
export OPENAI_BASE_URL="your_url"
export OPENAI_API_KEY="your_key"

# Permanent setting (add to ~/.bashrc or ~/.zshrc)
echo 'export OPENAI_BASE_URL="your_url"' >> ~/.bashrc
echo 'export OPENAI_API_KEY="your_key"' >> ~/.bashrc

source ~/.bashrc

Codex Configuration File ​ ​

Add the following configuration to ~/.codex/config.toml file:

model_provider = "crs"
model = "gpt-5-codex"
model_reasoning_effort = "high"
disable_response_storage = true
preferred_auth_method = "apikey"
[model_providers.crs]
name = "crs"
base_url = "your_url"
wire_api = "responses"

Configure API key in ~/.codex/auth.json file:

json

{
"OPENAI_API_KEY": "your_api_key"
}

💡 You can use the same API key as Claude Code, in the format cr_xxxxxxxxxx.

4. Verify Installation ​ ​

Create test file test_codex.py:

python

import openai
import os

# Set API key
openai.api_key = os.getenv("OPENAI_API_KEY")

def test_codex():
    try:
        response = openai.Completion.create(
            engine="code-davinci-002",
            prompt="# Write a function to calculate Fibonacci sequence\ndef fibonacci(",
            max_tokens=150,
            temperature=0
        )

        print("Codex Response:")
        print(response.choices[0].text)
        print("\nInstallation successful!")

    except Exception as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    test_codex()

Run test:

bash

python test_codex.py

Editor Integration ​ ​

VS Code Integration ​ ​

  1. Install "OpenAI Codex" extension
  2. Configure API key
  3. Restart VS Code

PyCharm Integration ​ ​

  1. Install OpenAI plugin
  2. Configure API key in settings
  3. Enable code completion features

Advanced Configuration ​ ​

Proxy Settings ​ ​

If you need to access through a proxy:

python

import openai

openai.api_key = "your_api_key"
openai.proxy = "http://proxy.example.com:8080"

Custom Parameters ​ ​

python

# Configure generation parameters
response = openai.Completion.create(
    engine="code-davinci-002",
    prompt="your_prompt",
    max_tokens=200,        # Maximum generation length
    temperature=0.1,       # Creativity level
    top_p=1.0,            # Nucleus sampling
    frequency_penalty=0.0, # Frequency penalty
    presence_penalty=0.0   # Presence penalty
)

Common Issues ​ ​

Q: Invalid API Key ​ ​

A: Check if the key is copied correctly, ensure no extra spaces or characters.

Q: Connection Timeout ​ ​

A: Check network connection, consider using proxy or VPN.

Q: Quota Limitations ​ ​

A: Check your OpenAI account usage and billing settings.

Q: Poor Code Quality ​ ​

A: Try adjusting temperature and top_p parameters, optimize prompts.

Best Practices ​ ​

Prompt Optimization ​ ​

  • Use clear, specific descriptions
  • Provide context information
  • Include expected code style

Security Considerations ​ ​

  • Keep API keys secure
  • Don't hardcode keys in source code
  • Rotate API keys regularly

Performance Optimization ​ ​

  • Set appropriate max_tokens
  • Use suitable engine models
  • Cache frequently used results

Troubleshooting ​ ​

Installation Failures ​ ​

bash

# Upgrade pip
pip install --upgrade pip

# Clear cache
pip cache purge

# Reinstall
pip install --force-reinstall openai

Permission Issues ​ ​

bash

# macOS/Linux use sudo
sudo pip install openai

# Or use user installation
pip install --user openai

Next Steps ​ ​

After installation, you can:

  1. Explore different programming language support
  2. Try more complex code generation tasks
  3. Integrate into your development toolchain
  4. Learn advanced prompt engineering techniques

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