Simplify logs

app.py

@@ -91,7 +91,7 @@ async def interact_with_langchain_agent(user_prompt, messages, session_id, histo
         yield messages, historic_data_state, vin_data_state, dtc_data_state
         return
     
-    print("User prompt received:", user_prompt)
+    print("> ", user_prompt)
     messages.append(ChatMessage(role="user", content=user_prompt))
     yield messages, historic_data_state, vin_data_state, dtc_data_state
 
@@ -101,7 +101,7 @@ async def interact_with_langchain_agent(user_prompt, messages, session_id, histo
         messages.append(ChatMessage(role="assistant", content=error_msg))
         yield messages, historic_data_state, vin_data_state, dtc_data_state
         return
-    print("Agent is available, processing the request...")
+    # print("Agent is available, processing the request...")
 
     try:
         assistant_response = ""  # Collect assistant's full response
@@ -118,7 +118,7 @@ async def interact_with_langchain_agent(user_prompt, messages, session_id, histo
             stream_mode="messages"
         ):
             node = metadata.get("langgraph_node", "unknown")
-            print(f"Token from node {node}: {message_chunk}")
+            # print(f"Token from node {node}: {message_chunk}")
 
             # Only process chunks from the model node (AI responses)
             if node == "model":
@@ -450,7 +450,7 @@ def update_vin_dataframe(vin_data_state):
 def create_plot(data):
     
     if data is None or len(data) == 0:
-        print("No historic data to plot.")
+        # print("No historic data to plot.")
         return None
         
     print("Creating plot with data:", data)
@@ -481,7 +481,7 @@ def create_plot(data):
 
 def update_dtc(dtc_data):
     if dtc_data is None or len(dtc_data) == 0:
-        print("No DTC data to update.")
+        # print("No DTC data to update.")
         return []
 
     print("Updating DTC component with data:", dtc_data)