diff --git a/docs/docs/expression_language/how_to/generators.ipynb b/docs/docs/expression_language/how_to/generators.ipynb
index 627be2248c251..c9635c8aacd86 100644
--- a/docs/docs/expression_language/how_to/generators.ipynb
+++ b/docs/docs/expression_language/how_to/generators.ipynb
@@ -176,7 +176,7 @@
     "\n",
     "\n",
     "async def asplit_into_list(\n",
-    "    input: AsyncIterator[str]\n",
+    "    input: AsyncIterator[str],\n",
     ") -> AsyncIterator[List[str]]:  # async def\n",
     "    buffer = \"\"\n",
     "    async for (\n",
diff --git a/templates/sql-research-assistant/sql_research_assistant/chain.py b/templates/sql-research-assistant/sql_research_assistant/chain.py
index 844942c0aa86f..43984719a3d89 100644
--- a/templates/sql-research-assistant/sql_research_assistant/chain.py
+++ b/templates/sql-research-assistant/sql_research_assistant/chain.py
@@ -17,6 +17,6 @@ class InputType(BaseModel):
 
 
 if __name__ == "__main__":
-    print(chain.invoke({
-        "question": "who is typically older: point guards or centers?"
-    }))
+    print(
+        chain.invoke({"question": "who is typically older: point guards or centers?"})
+    )
diff --git a/templates/sql-research-assistant/sql_research_assistant/search/sql.py b/templates/sql-research-assistant/sql_research_assistant/search/sql.py
index bf4ea53e2cac8..c67afa884e846 100644
--- a/templates/sql-research-assistant/sql_research_assistant/search/sql.py
+++ b/templates/sql-research-assistant/sql_research_assistant/search/sql.py
@@ -56,7 +56,6 @@ def run_query(query):
 )
 
 
-
 # Chain to answer
 template = """Based on the table schema below, question, sql query, and sql response, write a natural language response:
 {schema}
@@ -82,15 +81,13 @@ class InputType(BaseModel):
 
 
 sql_answer_chain = (
-    RunnablePassthrough.assign(query=sql_chain).with_types(
-        input_type=InputType
-    )
+    RunnablePassthrough.assign(query=sql_chain).with_types(input_type=InputType)
     | RunnablePassthrough.assign(
         schema=get_schema,
         response=lambda x: db.run(x["query"]),
-    ) | RunnablePassthrough.assign(
-        answer=prompt_response
-        | ChatOpenAI()
-        | StrOutputParser()
-    ) | (lambda x: f"Question: {x['question']}\n\nAnswer: {x['answer']}")
+    )
+    | RunnablePassthrough.assign(
+        answer=prompt_response | ChatOpenAI() | StrOutputParser()
+    )
+    | (lambda x: f"Question: {x['question']}\n\nAnswer: {x['answer']}")
 )
diff --git a/templates/sql-research-assistant/sql_research_assistant/search/web.py b/templates/sql-research-assistant/sql_research_assistant/search/web.py
index fb7bbe701c04b..afd69c26fba99 100644
--- a/templates/sql-research-assistant/sql_research_assistant/search/web.py
+++ b/templates/sql-research-assistant/sql_research_assistant/search/web.py
@@ -16,6 +16,7 @@
     RunnablePassthrough,
 )
 from langchain.utilities import DuckDuckGoSearchAPIWrapper
+
 from sql_research_assistant.search.sql import sql_answer_chain
 
 RESULTS_PER_QUESTION = 3
@@ -50,8 +51,6 @@ def web_search(query: str, num_results: int):
     return [r["link"] for r in results]
 
 
-
-
 SEARCH_PROMPT = ChatPromptTemplate.from_messages(
     [
         ("system", "{agent_prompt}"),