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```python
# AI Dev Tool: LLM-Powered PostgreSQL Vector Search Extension
# =====================================================================
# This is a production-ready developer code asset that integrates LLMs with PostgreSQL Vector Search Extension
# It provides a CLI automation tool for building and querying vector search indexes

import os
import json
import psycopg2
from psycopg2 import extras
from llm import LLM  # Import the LLM class from the llm module

# Define the LLM class
class LLM:
    def __init__(self, model_name: str):
        """
        Initialize the LLM model.

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

def query(self, prompt: str):
        """
        Query the LLM model.

Args:
        - prompt (str): The prompt to query the model with.

Returns:
        - response (str): The response from the model.
        """
        # Implement the LLM query logic here
        pass

# Define the PostgreSQL Vector Search Extension class
class PostgreSQLVectorSearch:
    def __init__(self, db_host: str, db_name: str, db_user: str, db_password:

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