SQL agent.
Construct a SQL agent from an LLM and toolkit or database.
This agent can execute arbitrary SQL against your database.
By default, the agent is allowed to generate SQL strings and run them via the database connection. This is powerful, but it also means the agent can generate expensive or dangerous queries (e.g., long-running queries, large scans/joins, locking queries, or unintended writes depending on your database permissions).
create_sql_agent returns a langchain_classic AgentExecutor.
AgentExecutor is an agent abstraction that has long been considered legacy
and is not actively supported as the recommended foundation for new production
applications.
For production-grade agent development, prefer building with Deep Agents: https://github.com/langchain-ai/deepagents
If you use this in production, coordinate with your security/DB teams and apply server-side controls:
Client-side timeouts do not always guarantee that a running statement is cancelled on the database server.
