# guardian-core/llm/llm_wrapper.py
#
# Placeholder for a wrapper around a large language model.
# This module would handle model initialization, inference,
# and data formatting.

import logging


class LLM:
    """
    A class to wrap LLM functionality.
    """

    def __init__(self, model_name: str):
        logging.info(f"Initializing LLM wrapper for model: {model_name}")
        self.model_name = model_name
        self.is_ready = True

    def generate_text(self, prompt: str) -> str:
        """
        Simulates text generation from the LLM.
        """
        if not self.is_ready:
            return "Error: Model not ready."
        logging.info(f"Generating text for prompt: '{prompt}'")
        return f"Generated text from {self.model_name} for prompt: '{prompt}'"
