diff --git a/packages/jupyter-ai/jupyter_ai/chat_handlers/tools.py b/packages/jupyter-ai/jupyter_ai/chat_handlers/tools.py
index 38d048f37..fbf7f9fe6 100644
--- a/packages/jupyter-ai/jupyter_ai/chat_handlers/tools.py
+++ b/packages/jupyter-ai/jupyter_ai/chat_handlers/tools.py
@@ -7,18 +7,16 @@
 import numpy as np
 from jupyter_ai.models import HumanChatMessage
 from jupyter_ai_magics.providers import BaseProvider
+from jupyter_core.paths import jupyter_config_dir
 from langchain_core.prompts import PromptTemplate
 from langchain_core.runnables import ConfigurableFieldSpec
 from langchain_core.runnables.history import RunnableWithMessageHistory
 from langchain_core.tools import tool
 from langgraph.graph import MessagesState, StateGraph
 from langgraph.prebuilt import ToolNode
-from langchain_core.runnables import ConfigurableFieldSpec
-from langchain_core.runnables.history import RunnableWithMessageHistory
 
 from .base import BaseChatHandler, SlashCommandRoutingType
 
-from jupyter_core.paths import jupyter_config_dir
 TOOLS_DIR = os.path.join(jupyter_config_dir(), "jupyter-ai", "tools")
 
 PROMPT_TEMPLATE = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.
@@ -85,10 +83,7 @@ def __init__(self, *args, **kwargs):
         self.parser.add_argument("query", nargs=argparse.REMAINDER)
         self.tools_file_path = None
 
-    
-    def setup_llm(
-        self, provider: Type[BaseProvider], provider_params: Dict[str, str]
-    ):
+    def setup_llm(self, provider: Type[BaseProvider], provider_params: Dict[str, str]):
         """Sets up the LLM before creating the LLM Chain"""
         unified_parameters = {
             "verbose": True,
@@ -124,7 +119,6 @@ def create_llm_chain(
             )
         self.llm_chain = runnable
 
-    
     def get_tool_files(self) -> list:
         """
         Gets required tool files from TOOLS_DIR
@@ -179,7 +173,7 @@ def get_tools(file_paths: list) -> list:
                 for file_path in file_paths:
                     with open(file_path) as file:
                         exec(file.read())
-                    try: # For each tool file, collect tool list
+                    try:  # For each tool file, collect tool list
                         with open(file_path) as file:
                             content = file.read()
                             tree = ast.parse(content)
@@ -246,19 +240,13 @@ async def process_message(self, message: HumanChatMessage):
             return
 
         if args.list:
-            tool_files = os.listdir(
-                os.path.join(Path.home(), TOOLS_DIR)
-            )
+            tool_files = os.listdir(os.path.join(Path.home(), TOOLS_DIR))
             self.reply(f"The available tools files are: {tool_files}")
             return
         elif args.tools:
-            self.tools_file_path = os.path.join(
-                Path.home(), TOOLS_DIR, args.tools
-            )
+            self.tools_file_path = os.path.join(Path.home(), TOOLS_DIR, args.tools)
         else:
-            self.tools_file_path = os.path.join(
-                Path.home(), TOOLS_DIR
-            )
+            self.tools_file_path = os.path.join(Path.home(), TOOLS_DIR)
 
         query = " ".join(args.query)
         if not query: