latest change for adding reasoning agents

app.py

@@ -90,14 +90,17 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             
         try:
             print(f"Processing question {i+1}/{len(questions_data)}: {task_id}")
+            print("Question text:", question_text)
             submitted_answer = agent(question_text)
+            print("Submitted answer:", submitted_answer)
+            print("="*15)
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
             
             # Add delay between questions to avoid rate limiting (5 seconds)
             if i < len(questions_data) - 1:
                 print(f"Waiting 5 seconds before next question...")
-                time.sleep(5)
+                # time.sleep(5)
                 
         except Exception as e:
             print(f"Error running agent on task {task_id}: {e}")

reasoning_agent.py

@@ -227,7 +227,8 @@ def generate_response(state: AgentState) -> AgentState:
 
     # Create prompt for response generation
     response_prompt = ChatPromptTemplate.from_messages([
-        SystemMessage(content="""Generate a helpful response to the user based on your reasoning and tool outputs. Give exact, to the point and concise one word or number as an answer. No explanation is needed at all. Make sure that if numerical number is asked, you return only a number and nothing else. If you don't know the answer, make a guess from your training data, but don't return None."""),
+        SystemMessage(content="""Generate a helpful response to the user based on your reasoning and tool outputs. Give exact, to the point and concise one word or number as an answer.
+                      No explanation is needed at all. Make sure that if numerical number is asked, you return only a number and nothing else. If you don't know the answer, make a guess from your training data, but don't return None. Return answer in only the language in which the question was asked."""),
         ("user",
          "User request: {user_request}\n\nReasoning: {reasoning}\n\nTool outputs: {tool_outputs}")
     ])