Update app.py

app.py

@@ -418,34 +418,38 @@ class SlpMultiAgent:
                     lambda: manager_agent.run(f"""
                     Question: {short_question}
                     
-                    CRITICAL: Read the question CAREFULLY and answer EXACTLY what is asked.
+                    CRITICAL INSTRUCTIONS:
+                    1. Use tools DIRECTLY, not in code execution
+                    2. For factual questions: Use google_search() tool immediately
+                    3. For math: Use math_calculator() tool directly
+                    4. DO NOT write complex code - use tools instead
+                    5. DO NOT call ResearchAgent() or SolverAgent() in code
                     
-                    STEP-BY-STEP APPROACH:
-                    1. ANALYZE: What type of question is this?
-                       - Factual/Historical: Use google_search
-                       - Math/Calculation: Use math_calculator
-                       - List/Categorization: Use google_search for verification
-                       - File analysis: Use file_processor
+                    Available tools:
+                    - google_search(query): Search the web
+                    - math_calculator(expression): Calculate math
+                    - file_processor(action, data): Handle files
+                    - knowledge_base(topic): Get knowledge
                     
-                    2. SEARCH: Use the appropriate tool with SPECIFIC queries
-                       - For Olympics: "1928 Summer Olympics countries athletes least"
-                       - For vegetables: "botanical vegetables vs fruits classification"
-                       - For specific people: "[person name] [context] [year]"
+                    SIMPLE APPROACH:
+                    - Call the appropriate tool
+                    - Get the result
+                    - Provide final_answer()
                     
-                    3. EXTRACT: Get the EXACT answer from results
-                       - Look for specific numbers, names, codes
-                       - Pay attention to format requirements (IOC codes, last names only, etc.)
+                    Example for factual question:
+                    1. Call google_search("your query")
+                    2. Extract answer from results
+                    3. Call final_answer("the answer")
                     
-                    4. VERIFY: Double-check your answer matches the question format
+                    NO complex code execution. Use tools directly.
                     
-                    5. ANSWER: Use final_answer("exact answer here")
-                    
-                    EXAMPLES:
-                    - Country question → Search → Find IOC code → final_answer("IOC")
-                    - Vegetable list → Search botanical classification → List vegetables → final_answer("item1, item2, item3")
-                    - Person question → Search specific details → Extract names → final_answer("Name1, Name2")
-                    
-                    REMEMBER: Answer format matters! Follow instructions exactly.
+                    Take your time and think every step out, be confident and precise.
+
+                    Google should be able to answer all these questions and you have access to it.
+
+                    They are simple yet tricky questions, so be careful and double check your answers. Make sure to use google_search for any factual question.
+
+                    always provide a final_answer in the format final_answer("your answer here") when you have the answer.
                     """)
                 )
                 break  # Success, exit retry loop
@@ -469,20 +473,12 @@ class SlpMultiAgent:
         
         # Extract clean answer from result
         if result and isinstance(result, str):
-            # Look for final_answer pattern with multiple formats
+            # Look for final_answer pattern
             import re
-            patterns = [
-                r'final_answer\(["\']([^"\']*)["\'\)]',
-                r'final_answer\(([^)]+)\)',
-                r'Final answer: ([^\n]+)',
-                r'Answer: ([^\n]+)'
-            ]
-            
-            for pattern in patterns:
-                match = re.search(pattern, result, re.IGNORECASE)
-                if match:
-                    clean_answer = match.group(1).strip('"\'')
-                    return clean_answer
+            final_answer_match = re.search(r'final_answer\(["\']([^"\']*)["\'\)]', result)  # Fixed regex
+            if final_answer_match:
+                clean_answer = final_answer_match.group(1)
+                return clean_answer
             
             # If no final_answer found, try to extract the last meaningful line
             lines = result.strip().split('\n')