modify

app.py

@@ -371,25 +371,25 @@ class SlpMultiAgent:
             )
             print("Using OpenAI model (Gemini not available)")
         
-        # Create comprehensive agents with multiple tools
+        # Simplified research agent
         research_agent = CodeAgent(
-            tools=[GoogleSearchTool(), WikipediaSearchTool(), WebScrapeTool(), KnowledgeBaseTool()],
+            tools=[GoogleSearchTool(), KnowledgeBaseTool()],
             model=model if not isinstance(model, GeminiModel) else OpenAIServerModel(model_id="gpt-3.5-turbo", temperature=0.0, max_tokens=400),
-            additional_authorized_imports=["re", "datetime", "math", "json", "requests", "pandas", "numpy", "time", "os", "tempfile", "uuid"],
-            max_steps=3,
+            additional_authorized_imports=["re", "json"],
+            max_steps=2,
             name="ResearchAgent",
             verbosity_level=0,
-            description="Research agent with Google Search, Wikipedia, web scraping, and knowledge lookup."
+            description="Simple research with Google Search."
         )
         
         solver_agent = CodeAgent(
-            tools=[MathTool(), CodeExecutorTool(), FileProcessorTool(), GoogleSearchTool()],
+            tools=[MathTool(), GoogleSearchTool()],
             model=model if not isinstance(model, GeminiModel) else OpenAIServerModel(model_id="gpt-3.5-turbo", temperature=0.0, max_tokens=400),
-            additional_authorized_imports=["math", "re", "collections", "itertools", "pandas", "numpy", "json", "time", "os", "tempfile", "uuid", "requests"],
-            max_steps=3,
+            additional_authorized_imports=["math", "re"],
+            max_steps=2,
             name="SolverAgent",
             verbosity_level=0,
-            description="Problem solving with math, code execution, file processing, and search capabilities."
+            description="Simple problem solving with math and search."
         )
 
         manager_agent = CodeAgent(
@@ -405,7 +405,7 @@ class SlpMultiAgent:
             additional_authorized_imports=["re", "math", "json", "pandas", "numpy", "requests", "time", "os", "tempfile", "uuid"],
             planning_interval=1,
             verbosity_level=0,
-            max_steps=4,
+            max_steps=2,
             final_answer_checks=[check_reasoning]
         )
         
@@ -421,31 +421,35 @@ class SlpMultiAgent:
                     lambda: manager_agent.run(f"""
                     Question: {short_question}
                     
-                    IMPORTANT: Use ONLY the available tool functions, do NOT try to call functions directly in code.
+                    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
                     
-                    Available tools (call these as functions):
-                    - google_search(query="your search"): Web search (PRIMARY for factual questions)
-                    - math_calculator(expression="your math"): Mathematical calculations  
-                    - file_processor(action="download/save/analyze_csv/analyze_excel", data="url/content/path"): File operations
-                    - knowledge_base(topic="your topic"): Structured knowledge lookup
+                    Available tools:
+                    - google_search(query): Search the web
+                    - math_calculator(expression): Calculate math
+                    - file_processor(action, data): Handle files
+                    - knowledge_base(topic): Get knowledge
                     
-                    Managed agents (delegate to these):
-                    - ResearchAgent: For complex research tasks
-                    - SolverAgent: For complex problem solving
+                    SIMPLE APPROACH:
+                    - Call the appropriate tool
+                    - Get the result
+                    - Provide final_answer()
                     
-                    Strategy:
-                    1. For factual questions: Call google_search() directly
-                    2. For calculations: Call math_calculator() directly
-                    3. For complex tasks: Delegate to appropriate agent
+                    Example for factual question:
+                    1. Call google_search("your query")
+                    2. Extract answer from results
+                    3. Call final_answer("the answer")
                     
-                    DO NOT write code that calls undefined functions like wikipedia_search().
+                    NO complex code execution. Use tools directly.
                     
-                    IMPORTANT: Always end with exactly this format:
+                    ALWAYS end with:
                     <code>
-                    final_answer("your direct answer")
+                    final_answer("your answer here")
                     </code>
-                    
-                    Be concise and direct.
                     """)
                 )
                 break  # Success, exit retry loop