magicsoft-ai 0.1.4

A module for AI assistant functionalities (version 1)

Magic Assistant Library

A Python library for building conversational AI assistants with support for dynamic tools, token counting, and time monitoring.

Overview

Magic Assistant Library provides a framework for creating AI assistants using LangChain with support for multiple LLM providers including Google's Gemini and DeepSeek. The library handles conversation management, tool integration, token counting, and session monitoring.

Features

• Support for multiple LLM providers (Gemini, DeepSeek)
• Dynamic tool integration and management
• Token counting and usage tracking
• Conversation history management
• Idle time monitoring
• Session management with customizable duration
• Async support for modern applications

Requirements

• Python >=3.10
• Dependencies:
  • langchain>=0.3.23
  • langchain-community>=0.3.21
  • langchain-google-genai>=2.0.1
  • langchain-deepseek>=0.1.2
  • loguru>=0.7.0

Installation

pip install magicai

Quick Start

from MagicAI import AIAgent

# Configure the assistant
config = {
    "agent_name": "MyAssistant",
    "avatar": "default",
    "do_not_talk_about": ["restricted topics"],
    "agent_task_prompt": "Your task description here",
    "initial_prompt": "Initial conversation prompt",
    "session_id": "unique_session_id",
    "task_variables": {},
    "llm": "gemini-2.0-flash",  # or "deepseek-*"
    "llm_api": "your_api_key"
}

# Create assistant instance
assistant = AIAgent(config)

# Start conversation
await assistant.start()

Tool Integration

The library supports custom tool integration through the ToolManager class:

tools_dict = [{
    "name": "tool_name",
    "api_url": "https://api.example.com/endpoint",
    "schema": {"type": "object", "properties": {}},
    "description": "Tool description"
}]

assistant = AIAgent(config, tools_dict=tools_dict)

Callbacks

The library supports various callbacks for monitoring and control:

• Tool call notifications
• Idle time monitoring
• Session end handling
• Agent response tracking

Contributing

Contributions are welcome! Please feel free to submit pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

• Sreedev Melethil
• Email: [e-mail]

Version

Current version: 0.1.0 (Alpha)

PIP token : pypi-AgEIcHlwaS5vcmcCJDYyMTk3YThiLTQ4YzEtNGMwMS05ZDVhLTBhMTZhODUzODg4ZQACFFsxLFsibWFnaWNzb2Z0LWFpIl1dAAIsWzIsWyIxZDYxZDgyOC01MTg5LTRiOWItYTY4ZS0wMzY4MGYyOWY5OWIiXV0AAAYgeEZiJcHqa3iSVwYLirX_yw8Sj74773MjMz_L7_ZxIyQ