fix: Fix Claude model name and add dynamic spiritual dialog response

- Fixed Claude Sonnet 4.5 model name: claude-sonnet-4-5-20250929
- Added SYSTEM_PROMPT_SPIRITUAL_DIALOG and PROMPT_SPIRITUAL_DIALOG for natural responses
- SpiritualAssistant now generates LLM-based responses for no-flag cases
- Responses are now in patient's language (Ukrainian, English, etc.)
- Removed static English-only response template for no-flag cases

src/config/ai_providers_config.py

@@ -24,7 +24,7 @@ class AIModel(Enum):
     GEMINI_1_5_PRO = "gemini-1.5-pro"
     
     # Anthropic models
-    CLAUDE_SONNET_4_5 = "claude-sonnet-4.5-20250514"
+    CLAUDE_SONNET_4_5 = "claude-sonnet-4-5-20250929"
     CLAUDE_SONNET_4 = "claude-sonnet-4-20250514"
     CLAUDE_SONNET_3_7 = "claude-3-7-sonnet-20250219"
     CLAUDE_SONNET_3_5 = "claude-3-5-sonnet-20241022"

src/core/spiritual_analyzer.py

@@ -29,7 +29,9 @@ from src.prompts.spiritual_prompts import (
     SYSTEM_PROMPT_CLARIFYING_QUESTIONS,
     PROMPT_CLARIFYING_QUESTIONS,
     SYSTEM_PROMPT_REEVALUATION,
-    PROMPT_REEVALUATION
+    PROMPT_REEVALUATION,
+    SYSTEM_PROMPT_SPIRITUAL_DIALOG,
+    PROMPT_SPIRITUAL_DIALOG
 )
 
 

src/core/spiritual_assistant.py

@@ -205,14 +205,14 @@ class SpiritualAssistant:
         """
         Handle no flag case - no significant spiritual distress.
         
-        Generates supportive response.
+        Generates natural conversational response via LLM.
         
         Requirements: 5.5
         """
-        logger.info("Handling NO FLAG - generating supportive response")
+        logger.info("Handling NO FLAG - generating conversational response")
         
-        # Format supportive response
-        response_message = self._format_no_flag_response(classification)
+        # Generate natural response via LLM
+        response_message = self._generate_dialog_response(patient_input)
         
         return {
             "message": response_message,
@@ -223,6 +223,39 @@ class SpiritualAssistant:
             "reasoning": "No significant spiritual distress indicators detected"
         }
     
+    def _generate_dialog_response(self, patient_input: PatientInput) -> str:
+        """
+        Generate natural dialog response for no-flag cases.
+        
+        Uses LLM to create a conversational response in the patient's language.
+        """
+        from src.prompts.spiritual_prompts import (
+            SYSTEM_PROMPT_SPIRITUAL_DIALOG,
+            PROMPT_SPIRITUAL_DIALOG
+        )
+        
+        try:
+            system_prompt = SYSTEM_PROMPT_SPIRITUAL_DIALOG()
+            user_prompt = PROMPT_SPIRITUAL_DIALOG(
+                patient_input.message,
+                patient_input.conversation_history
+            )
+            
+            response = self.api.generate_response(
+                system_prompt=system_prompt,
+                user_prompt=user_prompt,
+                temperature=0.4,
+                call_type="SPIRITUAL_DIALOG",
+                agent_name="SpiritualDistressAnalyzer"
+            )
+            
+            return response.strip()
+            
+        except Exception as e:
+            logger.error(f"Error generating dialog response: {e}")
+            # Fallback to static response
+            return self._format_no_flag_response(classification=None)
+    
     def _format_red_flag_response(
         self,
         classification: DistressClassification,

src/prompts/spiritual_prompts.py

@@ -472,3 +472,75 @@ CRITICAL RULES:
 4. Provide clear reasoning based on how the follow-up information resolved the ambiguity
 
 Analyze the complete conversation and respond with JSON only."""
+
+
+def SYSTEM_PROMPT_SPIRITUAL_DIALOG() -> str:
+    """
+    System prompt for spiritual dialog response generation.
+    Used when no distress is detected to generate a natural, supportive response.
+    """
+    return """You are a compassionate spiritual care assistant who provides supportive, empathetic responses to patients.
+
+Your role is to:
+1. Engage naturally with patients about spiritual and emotional topics
+2. Provide warm, supportive responses without being preachy or assumptive
+3. Respect diverse spiritual backgrounds and beliefs
+4. Offer to discuss spiritual topics if the patient is interested
+
+RESPONSE GUIDELINES:
+
+TONE:
+- Warm, friendly, and conversational
+- Non-judgmental and accepting
+- Supportive without being intrusive
+- Natural and human-like
+
+MULTI-FAITH SENSITIVITY:
+- Do NOT assume any particular religious beliefs
+- Use inclusive language (spiritual, meaningful, values, beliefs)
+- Respect all backgrounds: religious, secular, atheist, agnostic
+- Let the patient lead the conversation about their beliefs
+
+CONTENT:
+- Respond directly to what the patient said
+- Ask open-ended questions to understand their interests
+- Offer support without pushing spiritual care services
+- Keep responses concise and natural
+
+IMPORTANT: Always respond in the same language as the patient's message (English, Ukrainian, etc.)."""
+
+
+def PROMPT_SPIRITUAL_DIALOG(
+    patient_message: str,
+    conversation_history: List[str] = None
+) -> str:
+    """
+    User prompt for generating natural spiritual dialog response.
+    
+    Args:
+        patient_message: The patient's message
+        conversation_history: Optional conversation history
+        
+    Returns:
+        Formatted prompt string
+    """
+    history_text = ""
+    if conversation_history and len(conversation_history) > 0:
+        recent_history = conversation_history[-3:]
+        history_text = "\nRECENT CONVERSATION:\n" + "\n".join([f"- {msg}" for msg in recent_history])
+    
+    return f"""PATIENT MESSAGE:
+"{patient_message}"
+{history_text}
+
+TASK:
+Generate a natural, supportive response to the patient's message. The patient has not shown signs of spiritual distress, so this is a normal conversational exchange about spiritual or emotional topics.
+
+Your response should:
+1. Directly address what the patient said
+2. Be warm and conversational
+3. Show genuine interest in their perspective
+4. Offer to continue the conversation if they'd like
+5. Be in the same language as the patient's message
+
+Keep your response concise (2-4 sentences) and natural."""