diff --git a/langchain/agents/agent_toolkits/sql/base.py b/langchain/agents/agent_toolkits/sql/base.py
index b259f5af..6a24a430 100644
--- a/langchain/agents/agent_toolkits/sql/base.py
+++ b/langchain/agents/agent_toolkits/sql/base.py
@@ -44,7 +44,7 @@ def create_sql_agent(
     agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs)
     return AgentExecutor.from_agent_and_tools(
         agent=agent,
-        tools=toolkit.get_tools(),
+        tools=tools,
         verbose=verbose,
         max_iterations=max_iterations,
         early_stopping_method=early_stopping_method,
diff --git a/langchain/agents/agent_toolkits/sql/toolkit.py b/langchain/agents/agent_toolkits/sql/toolkit.py
index 2b662d6b..1e32cb64 100644
--- a/langchain/agents/agent_toolkits/sql/toolkit.py
+++ b/langchain/agents/agent_toolkits/sql/toolkit.py
@@ -4,6 +4,8 @@ from typing import List
 from pydantic import Field
 
 from langchain.agents.agent_toolkits.base import BaseToolkit
+from langchain.llms.base import BaseLLM
+from langchain.llms.openai import OpenAI
 from langchain.sql_database import SQLDatabase
 from langchain.tools import BaseTool
 from langchain.tools.sql_database.tool import (
@@ -18,6 +20,7 @@ class SQLDatabaseToolkit(BaseToolkit):
     """Toolkit for interacting with SQL databases."""
 
     db: SQLDatabase = Field(exclude=True)
+    llm: BaseLLM = Field(default_factory=lambda: OpenAI(temperature=0))
 
     @property
     def dialect(self) -> str:
@@ -35,5 +38,5 @@ class SQLDatabaseToolkit(BaseToolkit):
             QuerySQLDataBaseTool(db=self.db),
             InfoSQLDatabaseTool(db=self.db),
             ListSQLDatabaseTool(db=self.db),
-            QueryCheckerTool(db=self.db),
+            QueryCheckerTool(db=self.db, llm=self.llm),
         ]
diff --git a/langchain/tools/sql_database/tool.py b/langchain/tools/sql_database/tool.py
index d4b72cd4..a9ac6981 100644
--- a/langchain/tools/sql_database/tool.py
+++ b/langchain/tools/sql_database/tool.py
@@ -3,9 +3,9 @@
 from pydantic import BaseModel, Extra, Field, validator
 
 from langchain.chains.llm import LLMChain
-from langchain.llms.openai import OpenAI
 from langchain.prompts import PromptTemplate
 from langchain.sql_database import SQLDatabase
+from langchain.llms.base import BaseLLM
 from langchain.tools.base import BaseTool
 from langchain.tools.sql_database.prompt import QUERY_CHECKER
 
@@ -80,11 +80,12 @@ class QueryCheckerTool(BaseSQLDatabaseTool, BaseTool):
     Adapted from https://www.patterns.app/blog/2023/01/18/crunchbot-sql-analyst-gpt/"""
 
     template: str = QUERY_CHECKER
+    llm: BaseLLM
     llm_chain: LLMChain = Field(
         default_factory=lambda: LLMChain(
-            llm=OpenAI(temperature=0),
+            llm=QueryCheckerTool.llm,
             prompt=PromptTemplate(
-                template=QUERY_CHECKER, input_variables=["query", "dialect"]
+                template=QueryCheckerTool.template, input_variables=["query", "dialect"]
             ),
         )
     )