from sqlalchemy import ( Column, Float, Integer, MetaData, String, Table, create_engine, insert, inspect, text, ) engine = create_engine("sqlite:///:memory:") metadata_obj = MetaData() # create city SQL table table_name = "receipts" receipts = Table( table_name, metadata_obj, Column("receipt_id", Integer, primary_key=True), Column("customer_name", String(16), primary_key=True), Column("price", Float), Column("tip", Float), ) metadata_obj.create_all(engine) rows = [ {"receipt_id": 1, "customer_name": "Alan Payne", "price": 12.06, "tip": 1.20}, {"receipt_id": 2, "customer_name": "Alex Mason", "price": 23.86, "tip": 0.24}, {"receipt_id": 3, "customer_name": "Woodrow Wilson", "price": 53.43, "tip": 5.43}, {"receipt_id": 4, "customer_name": "Margaret James", "price": 21.11, "tip": 1.00}, ] for row in rows: stmt = insert(receipts).values(**row) with engine.begin() as connection: cursor = connection.execute(stmt) inspector = inspect(engine) columns_info = [(col["name"], col["type"]) for col in inspector.get_columns("receipts")] table_description = "Columns:\n" + "\n".join([f" - {name}: {col_type}" for name, col_type in columns_info]) print(table_description) from smolagents import tool @tool def sql_engine(query: str) -> str: """ Allows you to perform SQL queries on the table. Returns a string representation of the result. The table is named 'receipts'. Its description is as follows: Columns: - receipt_id: INTEGER - customer_name: VARCHAR(16) - price: FLOAT - tip: FLOAT Args: query: The query to perform. This should be correct SQL. """ output = "" with engine.connect() as con: rows = con.execute(text(query)) for row in rows: output += "\n" + str(row) return output from smolagents import CodeAgent, HfApiModel agent = CodeAgent( tools=[sql_engine], model=HfApiModel("meta-llama/Meta-Llama-3.1-8B-Instruct"), ) agent.run("Can you give me the name of the client who got the most expensive receipt?")