"""
Core functionality for the be-llm101 package.

This module contains the main functions and classes for the package.
"""

import sys
from typing import Dict, Any


def hello_llm101(name: str = "World") -> str:
    """
    A dummy function that returns a greeting message.

    This is a placeholder function to demonstrate the package structure.

    Args:
        name (str): The name to greet. Defaults to "World".

    Returns:
        str: A greeting message.

    Example:
        >>> from be_llm101 import hello_llm101
        >>> hello_llm101("Alice")
        'Hello, Alice! Welcome to be-llm101 package!'
    """
    return f"Hello, {name}! Welcome to be-llm101 package!"


def get_package_info() -> Dict[str, Any]:
    """
    Get information about the be-llm101 package.

    Returns:
        Dict[str, Any]: A dictionary containing package information.

    Example:
        >>> from be_llm101 import get_package_info
        >>> info = get_package_info()
        >>> print(info['version'])
        0.1.0
    """
    from . import __version__, __author__, __email__

    return {
        "name": "be-llm101",
        "version": __version__,
        "author": __author__,
        "email": __email__,
        "python_version": sys.version,
        "description": "A Python package for LLM-related utilities and functions",
    }


class LLMUtility:
    """
    A dummy class for future LLM-related utilities.

    This is a placeholder class that can be extended with actual LLM functionality.
    """

    def __init__(self, model_name: str = "default"):
        """
        Initialize the LLM utility.

        Args:
            model_name (str): The name of the model to use.
        """
        self.model_name = model_name

    def process_text(self, text: str) -> str:
        """
        Process text using the LLM utility.

        This is a dummy implementation that just returns the input text.

        Args:
            text (str): The text to process.

        Returns:
            str: The processed text.
        """
        return f"Processed by {self.model_name}: {text}"

    def __repr__(self) -> str:
        return f"LLMUtility(model_name='{self.model_name}')"
