final final attempt

app.py

@@ -128,11 +128,7 @@ class SlpMultiAgent:
         )
 
         manager_agent = CodeAgent(
-            model=OpenAIServerModel(
-                model_id="gpt-3.5-turbo",
-                temperature=0.0,
-                max_tokens=500
-            ),
+            model=model,
             tools=[KnowledgeBaseTool(), WikipediaSearchTool(), DuckDuckGoSearchTool()],  # Pass all retrieval tools
             managed_agents=[research_agent, solver_agent],  # Only 2 agents
             name="ManagerAgent",
@@ -140,8 +136,11 @@ class SlpMultiAgent:
                 "Efficient manager for quick problem solving. "
                 "Uses Wikipedia and DuckDuckGo for factual questions. "
                 "IMPORTANT: Only output a single code block in this format: "
-                "<code>\nfinal_answer(\"your direct, simple answer\")\n</code> "
-                "Do not include any other code, comments, or explanations."
+                "<code>\\nfinal_answer(\"your direct, simple answer\")\\n</code> "
+                "Do not use variables or function calls as the answer. "
+                "Do not include any other code, comments, or explanations. "
+                "For example, output: <code>\\nfinal_answer(\"5\")\\n</code> "
+                "NOT: <code>\\nfinal_answer(total_sales_usd)\\n</code>"
             ),
             additional_authorized_imports=["re", "math"],
             planning_interval=1,  # Faster planning
@@ -200,17 +199,17 @@ class SlpMultiAgent:
             final_answer_match = re.search(r'final_answer\(["\']([^"\']*)["\']\)', result)
             if final_answer_match:
                 clean_answer = final_answer_match.group(1).strip()
+                # If the answer looks like a variable name, return "Not available"
+                if re.match(r'^[a-zA-Z_][a-zA-Z0-9_]*$', clean_answer):
+                    return "Not available"
                 # Post-process: remove code blocks, explanations, and keep only the direct answer
                 clean_answer = clean_answer.strip('`').strip()
-                # Remove common prefixes
                 for prefix in ["The answer is", "Based on", "According to", "Answer:"]:
                     if clean_answer.lower().startswith(prefix.lower()):
                         clean_answer = clean_answer[len(prefix):].strip(' :,.')
-                # If answer is a list, keep it comma separated and clean
                 if '\n' in clean_answer and ',' not in clean_answer:
                     items = [x.strip() for x in clean_answer.split('\n') if x.strip()]
                     clean_answer = ', '.join(items)
-                # If answer is a code block, extract the value
                 code_match = re.search(r'([A-Za-z0-9 ,.+-]+)', clean_answer)
                 if code_match:
                     clean_answer = code_match.group(1).strip()
@@ -220,7 +219,6 @@ class SlpMultiAgent:
             for line in reversed(lines):
                 line = line.strip('`').strip()
                 if line and not line.startswith('#') and not line.startswith('###') and len(line) < 200:
-                    # Remove common prefixes
                     for prefix in ["The answer is", "Based on", "According to", "Answer:"]:
                         if line.lower().startswith(prefix.lower()):
                             line = line[len(prefix):].strip(' :,.')