# Import necessary libraries and modules
from langchain.agents import create_sql_agent
from langchain.agents.agent_toolkits import SQLDatabaseToolkit
from langchain.agents.agent_types import AgentType
from langchain.sql_database import SQLDatabase

# Create an instance of SQLDatabase using the 'customer.db' SQLite database
db = SQLDatabase.from_uri('sqlite:///customer.db')

# Create an SQL agent executor with specified parameters
agent_executor = create_sql_agent(
    llm=llm,
    toolkit=SQLDatabaseToolkit(db=db, llm=llm),
    agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    handle_parsing_errors=True,
    verbose=True,
    return_intermediate_steps=True
)

# Define user input
user_inquiry = "What is the number of transactions per year and month?"

# Run the agent to generate a response
agent_executor.run(user_inquiry)