abstractassistant 0.1.1

A sleek (macOS) system tray application providing instant access to LLMs

AbstractAssistant 🤖

Philosophy : your AI assistant, always here and available in one click

A sleek macOS system tray application providing instant access to Large Language Models with a modern Qt-based interface. Built with Python and powered by AbstractCore and AbstractVoice.

📦 Installation & Links

• 📋 GitHub Repository: https://github.com/lpalbou/abstractassistant
• 🐍 PyPI Package: https://pypi.org/project/abstractassistant/
• 📚 Documentation: See docs/ folder for detailed guides

✨ Features

• 🎯 System Tray Integration: Quick access from macOS menu bar - always at your fingertips
• 💬 Modern Qt Interface: Clean, iPhone Messages-style chat bubble with dark theme
• 🔊 Voice Support: Text-to-Speech integration with AbstractVoice for conversational AI
• 🔄 Multi-Provider Support: Seamlessly switch between LMStudio, Ollama, OpenAI, Anthropic, MLX, HuggingFace via AbstractCore
• 📊 Real-time Status: Live token counting, provider/model selection, and animated status indicators
• 💾 Session Management: Save, load, and view conversation history with markdown rendering
• ⚙️ Smart Controls: Provider/model dropdowns, TTS toggle, and session buttons
• 🎨 Professional Design: Rounded corners, smooth animations, and native macOS feel

🚀 Quick Start

1. Installation

# Install from PyPI (recommended)
pip install abstractassistant

For detailed installation instructions including prerequisites and voice setup, see 📖 Installation Guide.

2. First Launch

# Launch the assistant
assistant

3. Start Using

1. Find the Icon: Look for AbstractAssistant in your macOS menu bar (top-right)
2. Click to Open: Click the icon to open the chat bubble
3. Start Chatting: Type your message and send!

For a complete walkthrough of all features, see 🎯 Getting Started Guide.

📋 Prerequisites

• macOS: 10.14+ (Mojave or later)
• Python: 3.9+
• Models: Local (LMStudio/Ollama) or API keys (OpenAI/Anthropic)

See ⚙️ Installation Guide for detailed setup instructions.

🎮 Usage Overview

AbstractAssistant provides a clean, intuitive interface for AI conversations:

🖱️ Main Interface

• Chat Bubble: Modern iPhone Messages-style interface
• Provider/Model Selection: Easy switching between AI providers
• Voice Support: Optional text-to-speech for responses
• Session Management: Save, load, and view conversation history

🎙️ Voice Features

• Text-to-Speech: Powered by AbstractVoice
• High-Quality Speech: Natural-sounding voice synthesis
• Simple Controls: One-click enable/disable

🔧 System Integration

• System Tray: Always accessible from macOS menu bar
• Native Feel: Designed for macOS with smooth animations
• Lightweight: Minimal resource usage when idle

👉 For detailed usage instructions, see 🎯 Getting Started Guide

⚙️ Configuration

Create a config.toml file to customize settings:

[ui]
theme = "dark"
always_on_top = true

[llm]
default_provider = "lmstudio"
default_model = "qwen/qwen3-next-80b"
max_tokens = 128000
temperature = 0.7

[system_tray]
icon_size = 64

API Keys Setup

Set your API keys as environment variables:

# For OpenAI
export OPENAI_API_KEY="your_openai_key_here"

# For Anthropic
export ANTHROPIC_API_KEY="your_anthropic_key_here"

# For local models (LMStudio, Ollama), no API key needed

🏗️ Architecture

AbstractAssistant is built on a modern, modular architecture:

• AbstractCore: Universal LLM provider interface
• AbstractVoice: High-quality text-to-speech engine
• Qt Interface: Cross-platform GUI (PyQt5/PySide2/PyQt6 support)
• System Integration: Native macOS system tray with pystray
• Session Management: Persistent conversation history and settings

👉 For technical details, see 🏗️ Architecture Guide

🔧 Development

Running from Source

# Clone the repository
git clone https://github.com/lpalbou/abstractassistant.git
cd abstractassistant

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install in development mode
pip install -e .

# Run with debug mode
assistant --debug

Project Structure

abstractassistant/
├── pyproject.toml          # Package configuration
├── requirements.txt        # Dependencies
├── config.toml            # Default configuration
├── abstractassistant/     # Main package
│   ├── cli.py            # CLI entry point
│   ├── app.py            # Main application
│   ├── config.py         # Configuration management
│   ├── core/             # Business logic
│   │   ├── llm_manager.py    # LLM provider management
│   │   └── tts_manager.py    # Voice/TTS integration
│   ├── ui/               # User interface
│   │   ├── qt_bubble.py      # Main Qt chat interface
│   │   └── toast_window.py   # Notification system
│   └── utils/            # Utilities
│       ├── icon_generator.py # Dynamic icon creation
│       └── markdown_renderer.py # Markdown processing
└── docs/                 # Documentation
    ├── ARCHITECTURE.md   # Technical documentation
    ├── INSTALLATION.md   # Installation guide
    └── USAGE.md         # Usage guide

🌟 Why AbstractAssistant?

• 🎯 Focused: Designed specifically for quick AI interactions
• 🎨 Beautiful: Modern Qt interface with native macOS feel
• ⚡ Fast: Instant access without opening heavy applications
• 🔄 Flexible: Support for multiple AI providers in one interface
• 🛡️ Robust: Built with error handling and graceful fallbacks
• 📱 Unobtrusive: Lives quietly in your menu bar until needed
• 🔊 Conversational: Optional voice mode for natural AI interactions

📚 Documentation

Guide	Description
📖 Installation Guide	Complete setup instructions, prerequisites, and troubleshooting
🎯 Getting Started Guide	Step-by-step usage guide with all features explained
🏗️ Architecture Guide	Technical documentation and development information

📋 Requirements

• macOS: 10.14+ (Mojave or later)
• Python: 3.9+
• Qt Framework: PyQt5, PySide2, or PyQt6 (automatically detected)
• Dependencies: AbstractCore and AbstractVoice (automatically installed)

🤝 Contributing

Contributions welcome! Please read the architecture documentation and follow the established patterns:

• Clean Code: Follow PEP 8 and use type hints
• Modular Design: Keep components focused and reusable
• Modern UI/UX: Maintain the sleek, native feel
• Error Handling: Always include graceful fallbacks
• Documentation: Update docs for any new features

📄 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

AbstractAssistant is built on excellent open-source projects:

Core Dependencies

• AbstractCore: Universal LLM interface - enables seamless multi-provider support
• AbstractVoice: High-quality text-to-speech engine with natural voice synthesis

Framework & UI

• PyQt5/PySide2/PyQt6: Cross-platform GUI framework for the modern interface
• pystray: Cross-platform system tray integration
• Pillow: Image processing for dynamic icon generation

Part of the AbstractX Ecosystem

AbstractAssistant integrates seamlessly with other AbstractX projects:

• 🧠 AbstractCore: Universal LLM provider interface
• 🗣️ AbstractVoice: Advanced text-to-speech capabilities

See ACKNOWLEDGMENTS.md for complete attribution.

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Built with ❤️ for macOS users who want AI at their fingertips