Update research_agent.py

research_agent.py

@@ -57,26 +57,13 @@ class ResearchAgent(BaseAgent):
         Based on these search results, provide a concise and accurate answer to the question.
         """
 
-        response = self.llm_call(system_prompt, user_prompt)
-        final_answer = self.extract_final_answer(response)
+        final_answer = self.llm_call(system_prompt, user_prompt)
 
         print(f"Final answer: {final_answer}")
 
         if final_answer.lower() == "unknown":
-            system_prompt = """
-            You are a strict answer engine.
-
-            You must provide only the exact answer requested by the user, in the correct type and minimal format, based purely on the provided information.
-
-            Finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER].
-    
-            YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. 
-            If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. 
-            If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. 
-            If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
-            """
-            final_answer = self.llm_call(system_prompt, question, temperature=0.0)
-
+            final_answer = self.ask_james(question)
+            
         return final_answer
 
     def try_structured_wikipedia_scrape(self, query: str) -> Optional[str]: