langchain/agents/agent_toolkits/sql/simple_sql.py

from typing import Any, List, Optional


from langchain.agents.agent_toolkits.sql.prompt import SQL_PREFIX, SQL_SUFFIX
from langchain.agents.agent_toolkits.sql.toolkit import SimpleSQLDatabaseToolkit
from langchain.agents.mrkl.SQLbot import SQLAgentExecutor, SQLZeroShotAgent

from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
from langchain.callbacks.base import BaseCallbackManager
from langchain.chains.llm import LLMChain
from langchain.llms.base import BaseLLM

def create_simple_sql_agent_excutor(
    llm: BaseLLM,
    toolkit: SimpleSQLDatabaseToolkit,
    callback_manager: Optional[BaseCallbackManager] = None,
    prefix: str = SQL_PREFIX,
    suffix: str = SQL_SUFFIX,
    format_instructions: str = FORMAT_INSTRUCTIONS,
    input_variables: Optional[List[str]] = None,
    top_k: int = 10,
    verbose: bool = False,
    **kwargs: Any,
) -> SQLAgentExecutor:
    """Construct a sql agent from an LLM and tools."""
    tools = toolkit.get_tools()
    prefix = prefix.format(dialect=toolkit.dialect, top_k=top_k)
    prompt = SQLZeroShotAgent.create_prompt(
        tools,
        prefix=prefix,
        suffix=suffix,
        format_instructions=format_instructions,
        input_variables=input_variables,
    )
    llm_chain = LLMChain(
        llm=llm,
        prompt=prompt,
        callback_manager=callback_manager,
    )
    tool_names = [tool.name for tool in tools]
    agent = SQLZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs)
    return SQLAgentExecutor.from_agent_and_tools(
        agent=agent, tools=toolkit.get_tools(), verbose=verbose, callback_manager=callback_manager
    )