requirements update for llm compat

app.py

@@ -213,7 +213,8 @@ class BasicAgent:
         self.primary_llm = ChatGoogleGenerativeAI(
             model="gemini-2.5-flash-preview-05-20",
             max_tokens=8192,
-            temperature=0
+            temperature=0,
+            convert_system_message_to_human=True  # Enable system message conversion
         )
         
         # Initialize fallback LLM (if available)
@@ -302,8 +303,15 @@ class BasicAgent:
                 
                 # Try primary LLM first
                 try:
+                    # Convert system message to human message for Gemini
+                    if isinstance(self.sys_msg, SystemMessage):
+                        system_content = f"System Instructions: {self.sys_msg.content}"
+                        messages_with_system = [HumanMessage(content=system_content)] + messages
+                    else:
+                        messages_with_system = [self.sys_msg] + messages
+                    
                     response = self.primary_llm.invoke(
-                        [self.sys_msg] + messages,
+                        messages_with_system,
                         tools=[{"type": "function", "function": {
                             "name": "google_search",
                             "description": "Search for information on the web",
@@ -326,6 +334,7 @@ class BasicAgent:
                             logger.warning("Daily quota limit reached for primary LLM, trying fallback")
                             if hasattr(self, 'fallback_llm') and self.fallback_llm is not None:
                                 try:
+                                    # For OpenAI, we can use the system message directly
                                     response = self.fallback_llm.invoke(
                                         [self.sys_msg] + messages,
                                         tools=[{"type": "function", "function": {