Text-to-SQL Agent with Deep Agents

from deepagents import create_deep_agent
from langchain_core.tools import tool
from langchain_community.utilities import SQLDatabase
from langchain_community.agent_toolkits import SQLDatabaseToolkit

db = SQLDatabase.from_uri("sqlite:///sales.db", sample_rows_in_table_info=3)
toolkit = SQLDatabaseToolkit(db=db, llm=model)
sql_tools = toolkit.get_tools()

agent = create_deep_agent(
    model="anthropic:claude-sonnet-4-5-20250929",
    tools=[sql_tools],
    system_prompt="You are a SQL analyst. Convert natural language questions into SQL queries. Only use SELECT statements. Limit results to 10 rows.",
)

result = agent.invoke({
    "messages": [("user", "Show me top 5 customers by total spending this quarter")]
})
print(result["messages"][-1].content)