feat: implement medical API call and enhance soft medical triage functionality

src/core/ai_client.py

@@ -442,6 +442,29 @@ class AIClientManager:
             call_type="spiritual_analysis",
             agent_name="SpiritualDistressAnalyzer"
         )
+    
+    def call_medical_api(self, system_prompt: str, user_prompt: str,
+                        temperature: float = 0.3) -> str:
+        """
+        Call AI API for medical assistance.
+        
+        Uses the soft medical triage agent configuration.
+        
+        Args:
+            system_prompt: System prompt for the AI
+            user_prompt: User prompt/message for medical guidance
+            temperature: Temperature for response generation
+            
+        Returns:
+            AI response as string
+        """
+        return self.generate_response(
+            system_prompt=system_prompt,
+            user_prompt=user_prompt,
+            temperature=temperature,
+            call_type="medical_assistance",
+            agent_name="SoftMedicalTriage"
+        )
 
 # Factory function for easy client creation
 def create_ai_client(agent_name: str) -> UniversalAIClient:

src/core/core_classes.py

@@ -85,7 +85,52 @@ class SoftMedicalTriage:
     
     def conduct_triage(self, message: str, background: ClinicalBackground, history: List) -> str:
         """Conduct soft medical triage."""
-        return "Thank you for sharing. How can I help you today?"
+        try:
+            # Build conversation context
+            context = ""
+            if history:
+                recent_history = history[-6:]  # Last 3 exchanges
+                context = "Recent conversation:\n"
+                for msg in recent_history:
+                    context += f"{msg.role}: {msg.message}\n"
+                context += "\n"
+            
+            # Build patient context
+            patient_context = f"""Patient: {background.patient_name}, {background.age} years old
+Medical conditions: {', '.join(background.conditions)}
+Primary goal: {background.primary_goal}
+Exercise preferences: {', '.join(background.exercise_preferences)}
+Exercise limitations: {', '.join(background.exercise_limitations)}"""
+            
+            # Create prompt for medical assistant
+            prompt = f"""{context}Patient context:
+{patient_context}
+
+Current message: "{message}"
+
+Provide helpful medical guidance and support."""
+            
+            # Get system prompt for medical assistant
+            from src.config.prompts import SYSTEM_PROMPT_SOFT_MEDICAL_TRIAGE
+            
+            # Call AI
+            response = self.api.call_medical_api(
+                system_prompt=SYSTEM_PROMPT_SOFT_MEDICAL_TRIAGE,
+                user_prompt=prompt
+            )
+            
+            return response
+            
+        except Exception as e:
+            # Fallback response
+            import logging
+            logging.error(f"Medical triage error: {e}")
+            
+            # Detect language for fallback
+            if any(ord(c) >= 0x0400 and ord(c) <= 0x04FF for c in message):
+                return "Дякую, що звернулися. Як я можу вам допомогти з вашим здоров'ям сьогодні?"
+            else:
+                return "Thank you for reaching out. How can I help you with your health today?"
 
 
 import os