@ui-tars-test/cli

CLI for GUI Agent - A powerful automation tool for desktop, web, and mobile applications.

Installation

Global Installation

npm install -g @ui-tars-test/cli

Use via npx (without installation)

npx @ui-tars-test/cli run [options]

Local Installation

npm install @ui-tars-test/cli

Usage

Basic Usage

gui-agent run

This will start an interactive prompt where you can:

1. Configure your VLM model settings (provider, base URL, API key, model name)
2. Select the target operator (computer, browser, or android)
3. Enter your automation instruction

Available Commands

gui-agent run

Run GUI Agent automation with optional parameters.

gui-agent reset

Reset stored configuration (API keys, model settings, etc.).

gui-agent reset                    # Reset default configuration file
gui-agent reset -c custom.json     # Reset specific configuration file

Command Line Options

gui-agent run [options]

Options:

• -p, --presets <url> - Load model configuration from a remote YAML preset file
• -t, --target <target> - Specify the target operator:
  • computer - Desktop automation (default)
  • browser - Web browser automation
  • android - Android mobile automation
• -q, --query <query> - Provide the automation instruction directly via command line
• -c, --config <path> - Path to a custom configuration file (default: ~/.gui-agent-cli.json)

Examples

Computer Automation

gui-agent run -t computer -q "Open Chrome browser and navigate to github.com"

Android Mobile Automation

Make sure your Android device is connected via USB debugging:

gui-agent run -t android -q "Open WhatsApp and send a message to John"

Browser Automation

gui-agent run -t browser -q "Search for 'GUI Agent automation' on Google"

Using Remote Presets

gui-agent run -p "https://example.com/config.yaml" -q "Automate the login process"

Configuration

Model Configuration

The CLI requires VLM (Vision Language Model) configuration. You can provide this via:

1. Interactive setup - When you first run the CLI, it will prompt for:

   • Model provider (volcengine, anthropic, openai, lm-studio, deepseek, ollama)
   • Model base URL
   • API key
   • Model name

2. Configuration file - Settings are saved to ~/.gui-agent-cli.json:

   {
     "provider": "openai",
     "baseURL": "https://api.openai.com/v1",
     "apiKey": "your-api-key",
     "model": "gpt-4-vision-preview",
     "useResponsesApi": false
   }

3. Remote presets - Load configuration from a YAML file:

   vlmBaseUrl: "https://api.openai.com/v1"
   vlmApiKey: "your-api-key"
   vlmModelName: "gpt-4-vision-preview"
   useResponsesApi: false

Supported Providers

• volcengine - VolcEngine (ByteDance) models
• anthropic - Anthropic Claude models
• openai - OpenAI models (default)
• lm-studio - LM Studio local models
• deepseek - DeepSeek models
• ollama - Ollama local models

Operators

Computer Automation (nut-js)

Using Remote Presets

gui-agent start -p "https://example.com/config.yaml" -q "Automate the login process"

Configuration

Model Configuration

The CLI requires VLM (Vision Language Model) configuration. You can provide this via:

1. Interactive setup - When you first run the CLI, it will prompt for:

   • Model provider (volcengine, anthropic, openai, lm-studio, deepseek, ollama)
   • Model base URL
   • API key
   • Model name

2. Configuration file - Settings are saved to ~/.gui-agent-cli.json:

   {
     "provider": "openai",
     "baseURL": "https://api.openai.com/v1",
     "apiKey": "your-api-key",
     "model": "gpt-4-vision-preview",
     "useResponsesApi": false
   }

3. Remote presets - Load configuration from a YAML file:

   vlmBaseUrl: "https://api.openai.com/v1"
   vlmApiKey: "your-api-key"
   vlmModelName: "gpt-4-vision-preview"
   useResponsesApi: false

Supported Providers

• volcengine - VolcEngine (ByteDance) models
• anthropic - Anthropic Claude models
• openai - OpenAI models (default)
• lm-studio - LM Studio local models
• deepseek - DeepSeek models
• ollama - Ollama local models

Operators

Desktop Automation (nut-js)

• Automates desktop applications
• Uses computer vision to identify UI elements
• Supports mouse and keyboard actions
• Works with Windows, macOS, and Linux

Android Automation (adb)

• Controls Android devices via ADB
• Requires USB debugging enabled
• Can automate mobile apps and system UI
• Supports touch gestures and device interactions

Configuration Management

Reset Configuration

To clear all stored configuration and start fresh:

gui-agent reset

This will remove the configuration file (~/.gui-agent-cli.json) and the CLI will prompt you to configure settings again on the next run.

Custom Configuration File

You can specify a custom configuration file location:

gui-agent run -c /path/to/custom-config.json

To reset a specific configuration file:

gui-agent reset -c /path/to/custom-config.json

Development

Building the CLI

npm run build

Development Mode

npm run dev

Running Tests

npm test

License

Apache-2.0

Contributing

Contributions are welcome! Please read our contributing guidelines and submit pull requests to our repository.