last try is a lie

app.py

@@ -82,7 +82,25 @@ class GeminiModelAdapter:
         self.model = model
     def generate(self, *args, **kwargs):
         kwargs.pop('stop_sequences', None)  # Remove unsupported argument for Gemini
-        return self.model.generate_content(*args, **kwargs)
+        result = self.model.generate_content(*args, **kwargs)
+        # Always return a string, not a ChatMessage or Gemini object
+        if hasattr(result, "text"):
+            print(f"[DEBUG] Gemini raw text output: {result.text}")
+            return result.text
+        elif isinstance(result, str):
+            print(f"[DEBUG] Gemini raw string output: {result}")
+            return result
+        elif hasattr(result, "candidates") and result.candidates:
+            # For some Gemini APIs, the text is in candidates[0].content.parts[0].text
+            try:
+                text = result.candidates[0].content.parts[0].text
+                print(f"[DEBUG] Gemini raw candidate output: {text}")
+                return text
+            except Exception:
+                pass
+        # Fallback: convert to string
+        print(f"[DEBUG] Gemini unknown response type: {type(result)}; value: {result}")
+        return str(result)
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
@@ -106,6 +124,14 @@ class SlpMultiAgent:
         # Patch: wrap Gemini model for smolagents compatibility
         model = GeminiModelAdapter(genai.GenerativeModel('gemini-2.0-flash-exp'))
         
+        # Custom system prompt to force direct answer in code block
+        system_prompt = (
+            "You are a world expert at answering questions directly and concisely. "
+            "IMPORTANT: Only output a single code block in this format:\n"
+            "<code>\nfinal_answer(\"your direct, simple answer\")\n</code>\n"
+            "Do not include any other text, explanations, plans, or comments."
+        )
+        
         # Create only essential agents with reduced complexity
         research_agent = CodeAgent(
             tools=[KnowledgeBaseTool(), WikipediaSearchTool(), DuckDuckGoSearchTool()],
@@ -114,7 +140,8 @@ class SlpMultiAgent:
             max_steps=3,  # Allow more reasoning steps
             name="ResearchAgent",
             verbosity_level=0,
-            description="Quick factual research and knowledge lookup."
+            description="Quick factual research and knowledge lookup.",
+            system_prompt=system_prompt
         )
         
         solver_agent = CodeAgent(
@@ -124,7 +151,8 @@ class SlpMultiAgent:
             max_steps=2,  # Reduced steps
             name="SolverAgent",
             verbosity_level=0,
-            description="Problem solving, calculations, and logical reasoning."
+            description="Problem solving, calculations, and logical reasoning.",
+            system_prompt=system_prompt
         )
 
         manager_agent = CodeAgent(
@@ -146,7 +174,8 @@ class SlpMultiAgent:
             planning_interval=1,  # Faster planning
             verbosity_level=0,  # Reduce verbosity
             max_steps=3,  # Further reduced steps to avoid timeouts
-            final_answer_checks=[check_reasoning]
+            final_answer_checks=[check_reasoning],
+            system_prompt=system_prompt
         )
         
         # Create a task for the agent run with retry mechanism for rate limits
@@ -160,19 +189,9 @@ class SlpMultiAgent:
                     None,
                     lambda: manager_agent.run(f"""
                     Question: {short_question}
-                    
-                    You have knowledge_base() tool and two agents:
-                    - ResearchAgent: For factual questions
-                    - SolverAgent: For calculations and logic
-                    
-                    IMPORTANT: Always end with exactly this format:
-                    <code>
-                    final_answer("your direct answer")
-                    </code>
-                    
-                    Be concise and direct.
-                    """)
+                    \nIMPORTANT: Only output a single code block in this format:\n<code>\nfinal_answer(\"your direct answer\")\n</code>\nBe concise and direct.\n""")
                 )
+                print(f"[DEBUG] Raw agent output: {result}")
                 break  # Success, exit retry loop
             except Exception as e:
                 print(f"Attempt {attempt+1}/{max_retries} failed: {e}")
@@ -191,7 +210,6 @@ class SlpMultiAgent:
         if result is None:
             return "I apologize, but I'm currently experiencing technical difficulties. Please try again later."
         
-        
         # Extract clean answer from result
         if result and isinstance(result, str):
             import re