diff --git a/surfsense_backend/app/agents/researcher/graph.py b/surfsense_backend/app/agents/researcher/graph.py
index a0add94..f7a2463 100644
--- a/surfsense_backend/app/agents/researcher/graph.py
+++ b/surfsense_backend/app/agents/researcher/graph.py
@@ -11,20 +11,6 @@ class GraphState(TypedDict):
     # Final output
     final_written_report: Optional[str]
 
-def route_based_on_research_mode(state: State) -> str:
-    """
-    Route to different workflows based on research_mode.
-    
-    Args:
-        state: The current state containing the configuration
-    
-    Returns:
-        "qna_workflow" for QNA mode, "report_workflow" for report modes
-    """
-    # The configuration should be available in the graph context
-    # We'll handle this by checking the research_mode during execution
-    return "route_research_mode"
-
 def build_graph():
     """
     Build and return the LangGraph workflow.
diff --git a/surfsense_backend/app/agents/researcher/nodes.py b/surfsense_backend/app/agents/researcher/nodes.py
index 91e252a..2d4584f 100644
--- a/surfsense_backend/app/agents/researcher/nodes.py
+++ b/surfsense_backend/app/agents/researcher/nodes.py
@@ -928,7 +928,7 @@ async def handle_qna_workflow(state: State, config: RunnableConfig, writer: Stre
         complete_content = ""
         
         # Call the QNA agent with streaming
-        async for chunk_type, chunk in qna_agent_graph.astream(qna_state, qna_config, stream_mode=["values"]):
+        async for _chunk_type, chunk in qna_agent_graph.astream(qna_state, qna_config, stream_mode=["values"]):
             if "final_answer" in chunk:
                 new_content = chunk["final_answer"]
                 if new_content and new_content != complete_content:
diff --git a/surfsense_backend/app/agents/researcher/qna_agent/nodes.py b/surfsense_backend/app/agents/researcher/qna_agent/nodes.py
index f1c2f87..58a3fed 100644
--- a/surfsense_backend/app/agents/researcher/qna_agent/nodes.py
+++ b/surfsense_backend/app/agents/researcher/qna_agent/nodes.py
@@ -95,7 +95,7 @@ async def answer_question(state: State, config: RunnableConfig) -> Dict[str, Any
     
     # Prepare documents for citation formatting
     formatted_documents = []
-    for i, doc in enumerate(documents):
+    for _i, doc in enumerate(documents):
         # Extract content and metadata
         content = doc.get("content", "")
         doc_info = doc.get("document", {})