Update agents.py

agents.py

@@ -461,7 +461,57 @@ Assessment:
             logger.error(f"Agent 4 error: {e}")
             return False, False
 
-
+    def process(
+            self,
+            user_input: str,
+            tool_used: bool = False,
+            conversation_history: Optional[List[Dict]] = None
+        ) -> Tuple[str, str]:
+            """
+            Unified process method - runs all 4 routing agents sequentially.
+            
+            Returns:
+                Tuple[str, str]: (response_prompts, thinking_prompts)
+            """
+            if conversation_history is None:
+                conversation_history = []
+            
+            response_prompts = []
+            thinking_prompts = []
+            
+            # Agent 1: Practice Questions
+            if self.agent_1_practice_question(user_input, conversation_history):
+                response_prompts.append("STRUCTURE_PRACTICE_QUESTIONS")
+            
+            # Agent 2: Discovery Mode
+            is_vague, low_understanding = self.agent_2_discovery_mode(user_input, conversation_history)
+            if is_vague:
+                response_prompts.append("VAUGE_INPUT")
+            if low_understanding:
+                response_prompts.append("USER_UNDERSTANDING")
+            
+            # Agent 3: Follow-up Assessment
+            if self.agent_3_followup_assessment(user_input, conversation_history):
+                response_prompts.append("PRACTICE_QUESTION_FOLLOWUP")
+            
+            # Agent 4: Teaching Mode
+            needs_teaching, needs_practice = self.agent_4_teaching_mode(user_input, conversation_history)
+            if needs_teaching:
+                response_prompts.append("GUIDING_TEACHING")
+            
+            # Always add base formatting
+            response_prompts.extend(["GENERAL_FORMATTING", "LATEX_FORMATTING"])
+            
+            # Tool enhancement if used
+            if tool_used:
+                response_prompts.append("TOOL_USE_ENHANCEMENT")
+            
+            # Return as newline-separated strings
+            response_prompts_str = "\n".join(response_prompts)
+            thinking_prompts_str = ""  # Thinking prompts decided elsewhere
+            
+            return response_prompts_str, thinking_prompts_str
+        
 # ============================================================================
 # THINKING AGENTS (Preprocessing Layer)
 # ============================================================================