Update router.py

router.py

@@ -33,7 +33,7 @@ class RouterAgent(BaseAgent):
         self.agents[agent_type] = agent
         self.agent_descriptions[agent_type] = description
         
-    def __call__(self, question: str, **kwargs) -> str:
+    def __call__(self, question: str, file_name: str = None, **kwargs) -> str:
         """
         Process the question using pure LLM reasoning to select the appropriate agent.
         
@@ -55,12 +55,13 @@ class RouterAgent(BaseAgent):
                
         # Delegate to the selected specialized agent
         if agent_type in self.agents:
-            return self.agents[agent_type](question, **kwargs)
+            return self.agents[agent_type](question, file_name, **kwargs)
         
         # Fallback to research agent if available
         if "research_question" in self.agents:
             print(f"Agent '{agent_type}' not found. Falling back to research_question agent.")
             return self.agents["research_question"](question, **kwargs)
+
             
         # Ultimate fallback
         return f"No appropriate agent found for question type: {agent_type}"
@@ -118,7 +119,7 @@ class RouterAgent(BaseAgent):
         Consider the question's content, type, and any contextual clues provided.
         
         Return ONLY the agent type identifier as a single word, with no additional explanation or text.
-        For example: "research_question" or "audio_processing"
+        For example: "research_question" or "audio_transcript"
         """
         
         user_prompt = f"""