durusai-cli 2.4.1

DurusAI CLI - Advanced AI assistant with memory, file operations, and project management like Claude Code

DurusAI Native CLI

🤖 Native CLI client for DurusAI - AI-powered development assistant

Features

• 🔐 Secure authentication with JWT tokens and keyring storage
• 💬 Interactive chat mode with AI models (Claude, GPT-4, Gemini)
• 🚀 Single command queries for quick AI assistance
• 📊 Usage statistics and token tracking
• 🔧 Multiple AI models support
• 🎨 Rich terminal UI with markdown rendering
• ⚙️ Configurable profiles for different environments
• 🌐 Cross-platform (Linux, macOS, Windows)

Installation

From PyPI (Recommended)

pip install durusai

From source

git clone https://github.com/durusai/cli.git
cd cli/durusai_native_cli
pip install -e .

Development installation

pip install -e ".[dev]"

Quick Start

1. Login to DurusAI

durusai login

2. Ask a question

durusai query "Explain Python decorators"

3. Start interactive chat

durusai chat

Usage

Authentication

# Login with username/password
durusai login

# Login with specific profile
durusai login --profile work

# Check current user
durusai whoami

# Logout
durusai logout

Queries

# Single query
durusai query "How to implement binary search in Python?"

# Query with specific model
durusai query "Explain async/await" --model gpt-4

# Query with custom parameters  
durusai query "Write a FastAPI endpoint" --max-tokens 2000 --temperature 0.7

Interactive Mode

# Start interactive chat
durusai chat

# Chat with specific model
durusai chat --model claude-3-sonnet

Interactive commands:

• /help - Show help
• /model <name> - Switch AI model
• /clear - Clear conversation history
• /history - Show conversation history
• /stats - Show session statistics
• /quit - Exit chat mode

Models and Statistics

# List available models
durusai models

# Show usage statistics
durusai stats

# Check API health
durusai health

Configuration

# Show all settings
durusai config --list

# Set API endpoint
durusai config api_endpoint "https://api.durusai.com"

# Set default model
durusai config settings.default_model "claude-3-sonnet"

# Enable streaming responses
durusai config settings.stream_responses true

Configuration

DurusAI CLI stores configuration in ~/.durusai/:

~/.durusai/
├── config.json         # Main configuration
├── profiles/           # User profiles  
│   ├── default.json
│   └── work.json
├── cache/             # Response cache
├── history/           # Command history
└── logs/             # Application logs

Configuration Options

{
  "api_endpoint": "https://api.durusai.com",
  "default_profile": "default",
  "settings": {
    "timeout": 30,
    "retry_count": 3,
    "stream_responses": true,
    "cache_ttl": 3600,
    "auto_update": true,
    "show_token_usage": true,
    "default_model": "claude-3-sonnet-20240229",
    "max_history_size": 1000
  },
  "display": {
    "use_colors": true,
    "show_timestamps": false,
    "markdown_rendering": true,
    "pager_enabled": true
  }
}

API Models

DurusAI supports multiple AI providers:

Model	Provider	Context Length	Status
claude-3-sonnet-20240229	Anthropic	200K	✅
claude-3-haiku-20240307	Anthropic	200K	✅
gpt-4	OpenAI	8K	✅
gpt-4-turbo	OpenAI	128K	✅
gemini-pro	Google	32K	✅

Examples

Code Generation

durusai query "Create a REST API endpoint for user registration with FastAPI"

Code Explanation

durusai query "Explain this Python code" < my_script.py

Interactive Debugging

durusai chat
# Then in chat:
# User: I'm getting a TypeError in my Python code
# AI: I'd be happy to help! Please share the error and the relevant code...

Batch Processing

# Process multiple files
for file in *.py; do
  durusai query "Review this code for bugs: $(cat $file)" > "${file%.py}_review.md"
done

Environment Variables

• DURUSAI_API_ENDPOINT - API endpoint URL
• DURUSAI_API_TOKEN - API authentication token
• DURUSAI_CONFIG_DIR - Configuration directory (default: ~/.durusai)
• DURUSAI_PROFILE - Default profile name

Security

• Tokens are stored securely using system keyring (macOS Keychain, Windows Credential Manager, Linux Secret Service)
• Fallback encryption using Fernet for systems without keyring
• No plaintext passwords stored locally
• JWT tokens with automatic refresh
• TLS/SSL for all API communications

Development

Setup

git clone https://github.com/durusai/cli.git
cd cli/durusai_native_cli
pip install -e ".[dev]"

Testing

pytest

Code formatting

black durusai/
flake8 durusai/
mypy durusai/

Building

python -m build

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Run the test suite
6. Create a pull request

License

MIT License - see LICENSE file.

Support

• 📧 Email: [e-mail]
• 💬 GitHub Issues: durusai/cli/issues
• 📖 Documentation: docs.durusai.com

Changelog

See CHANGELOG.md for release history.

---

Made with ❤️ by the DurusAI team