requirements update for llm compat

app.py

@@ -320,7 +320,7 @@ class BasicAgent:
                 if "429" in error_str:
                     if "GenerateRequestsPerDayPerProjectPerModel-FreeTier" in error_str:
                         logger.warning("Daily quota limit reached for primary LLM, trying fallback")
-                        if self.fallback_llm:
+                        if hasattr(self, 'fallback_llm') and self.fallback_llm is not None:
                             try:
                                 response = self.fallback_llm.invoke(
                                     [self.sys_msg] + messages,
@@ -398,7 +398,7 @@ class BasicAgent:
             if "429" in error_str:
                 if "GenerateRequestsPerDayPerProjectPerModel-FreeTier" in error_str:
                     logger.warning("Daily quota limit reached, trying fallback")
-                    if self.fallback_llm:
+                    if hasattr(self, 'fallback_llm') and self.fallback_llm is not None:
                         try:
                             response = self.fallback_llm.invoke(
                                 [self.sys_msg] + messages,
@@ -426,7 +426,8 @@ class BasicAgent:
                 else:
                     logger.warning("Rate limit hit, waiting before retry...")
                     time.sleep(60)  # Wait for 60 seconds before retry
-            raise
+                    raise  # Re-raise to trigger retry
+            raise  # Re-raise other exceptions to trigger retry
     
     def call_tools(self, state: AgentState) -> AgentState:
         """Call the tools based on the model's response."""