requirements update for llm compat

app.py

@@ -329,19 +329,30 @@ class BasicAgent:
                     }
                     
                     logger.info("Attempting to use primary LLM (Gemini)")
-                    response = self.primary_llm.invoke(
-                        messages_with_system,
-                        tools=[genai_tool]
-                    )
-                    logger.info("Successfully used primary LLM")
+                    try:
+                        response = self.primary_llm.invoke(
+                            messages_with_system,
+                            tools=[genai_tool]
+                        )
+                        if not response or not hasattr(response, 'content'):
+                            raise ValueError("Invalid response format from Gemini")
+                        logger.info("Successfully used primary LLM")
+                    except Exception as e:
+                        if "list index out of range" in str(e):
+                            # Try without tools if tool configuration fails
+                            response = self.primary_llm.invoke(messages_with_system)
+                            if not response or not hasattr(response, 'content'):
+                                raise ValueError("Invalid response format from Gemini")
+                            logger.info("Successfully used primary LLM without tools")
+                        else:
+                            raise
                     
                 except Exception as e:
                     error_str = str(e)
                     logger.error(f"Primary LLM error: {error_str}")
                     
                     # Check if we should try fallback
-                    if (hasattr(self, 'fallback_llm') and self.fallback_llm is not None and 
-                        ("429" in error_str or "object" in error_str or "string" in error_str)):
+                    if hasattr(self, 'fallback_llm') and self.fallback_llm is not None:
                         try:
                             logger.info("Attempting to use fallback LLM (OpenAI)")
                             # For OpenAI, we can use the system message directly
@@ -365,6 +376,8 @@ class BasicAgent:
                                     }
                                 }]
                             )
+                            if not response or not hasattr(response, 'content'):
+                                raise ValueError("Invalid response format from fallback LLM")
                             logger.info("Successfully used fallback LLM")
                         except Exception as fallback_error:
                             logger.error(f"Fallback LLM error: {str(fallback_error)}")