update call function to return llm answer instead of default answer

agent.py

@@ -61,10 +61,50 @@ class BasicAgent:
         print("BasicAgent initialized.")
 
     def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        """
+        Process a GAIA benchmark question and return the answer
+
+        Args:
+            question: The question to answer
+            task_file_path: Optional path to a file associated with the question
+
+        Returns:
+            The answer to the question
+        """
+        try:
+            if self.verbose:
+                print(f"Processing question: {question}")
+
+            # Create a context with file information if available
+            context = question
+            if question.startswith(".") or ".rewsna eht sa" in question:
+                context = f""" This question appears to be in reversed text. Here's the reversed version: {question[::-1]} Now answer the question above. Remember to format your answer exactly as requested. """
+
+            # Add a prompt to ensure precise answers
+
+            full_prompt = f"""{context}. When answering, provide ONLY the precise answer requested. Do not include explanations, steps, reasoning, or additional text. Be direct and specific. GAIA benchmark requires exact matching answers. For example, if asked "What is the capital of France?", respond simply with "Paris"."""
+
+            # rules = "When answering, your 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, do not include brackets and apply the above rules depending of whether the element to be put in the list is a number or a string."
+
+            # full_prompt = f"""{context}. {rules}"""
+
+            # Run the agent with the question
+            answer = self.agent.run(full_prompt)
+
+            # Clean up the answer to ensure it's in the expected format
+            # Remove common prefixes that models often add
+            answer = self._clean_answer(answer)
+
+            if self.verbose:
+                print(f"Generated answer: {answer}")
+
+            return answer
+
+        except Exception as e:
+            error_msg = f"Error answering question: {e}"
+            if self.verbose:
+                print(error_msg)
+            return error_msg
 
     def answer_question(
         self, question: str, task_file_path: Optional[str] = None