Gemini CLI - Unbound Security

Gemini CLI is a powerful command-line interface tool that provides direct access to Google’s Gemini AI models from your terminal. It offers intelligent code generation, natural language processing, and development assistance capabilities. By integrating Gemini CLI with Unbound Security AI Gateway, you can leverage these AI capabilities while maintaining enterprise-grade security, cost control, and compliance.

Prerequisites

Before setting up the integration, ensure you have:

Unbound CLI: Installed and logged in — see the CLI guide
Node.js: Version 20 or higher
Gemini CLI: Install with npm install -g @google/gemini-cli

Setup with Unbound CLI

unbound setup gemini-cli

This sets the GEMINI_API_KEY and GOOGLE_GEMINI_BASE_URL environment variables to route Gemini CLI through Unbound. To remove the Unbound configuration:

unbound setup gemini-cli --clear

Restart your terminal after setup. When Gemini CLI prompts for authentication, select “Use Gemini API Key” and press Enter — the key is already configured.

Usage

Basic Usage

Once configured, you can start using Gemini CLI in your terminal:

gemini

This launches the interactive Gemini interface where you can:

Generate code for various programming languages
Ask questions about development topics
Get assistance with debugging
Process and analyze text content

Example Commands

# Start interactive mode
gemini

# Generate code for a specific task
gemini "Create a Python function to sort a list"

# Ask development questions
gemini "How do I implement authentication in a web app?"

# Get help with debugging
gemini "Help me debug this JavaScript error"

Advanced Usage

# Generate code with specific parameters
gemini --model="gemini-pro" "Write a REST API in Node.js"

# Process files
gemini --input="code.py" "Explain this code"

# Generate documentation
gemini "Generate documentation for this function"

Model Selection

You can specify different Gemini models:

# Use specific model
gemini --model="gemini-pro" "Your prompt here"

# List available models
gemini --list-models

Troubleshooting

Common Issues

Gemini CLI not found after installation:

# Check if npm global bin is in your PATH
npm config get prefix
# Add to PATH if needed
export PATH="$(npm config get prefix)/bin:$PATH"

API key not recognized:

# Verify your environment variables
echo $GEMINI_API_KEY
echo $GOOGLE_GEMINI_BASE_URL
# Once the setup is complete, open gemini-cli in a new terminal

Connection issues:

Ensure your Unbound API key is valid
Check that the base URL is correct
Verify your internet connection
Confirm the Unbound service is running

Model not found:

# Check available models
gemini --list-models
# Use a different model if needed
gemini --model="gemini-pro-vision" "Your prompt"

Security Benefits

Using Gemini CLI with Unbound Security AI Gateway provides:

Request Monitoring: All AI requests are logged and monitored
Cost Control: Set spending limits and track usage across all models
Compliance: Ensure AI interactions meet your organization’s standards
Guardrails: Apply security policies to AI responses
Audit Trail: Complete visibility into AI usage patterns
Model Routing: Intelligent routing to optimize performance and costs
Rate Limiting: Prevent abuse and manage resource usage

Best Practices

Development Workflow

Start with simple prompts to test the integration
Use specific, clear instructions for better results
Iterate on prompts to improve output quality
Monitor usage through Unbound dashboard
Set appropriate guardrails for your use case

Security Considerations

Keep your API keys secure and never commit them to version control
Use environment variables for configuration
Regularly rotate your API keys
Monitor usage patterns for anomalies
Set up appropriate guardrails for your organization’s needs

Unbound CLI

Install the CLI to set up and manage tools

Tool Policies

Configure security guardrails for AI tools

​Prerequisites

​Setup with Unbound CLI

​Usage

​Basic Usage

​Example Commands

​Advanced Usage

​Model Selection

​Troubleshooting

​Common Issues

​Security Benefits

​Best Practices

​Development Workflow

​Security Considerations