Handle empty responses in AI recommendation generation

Refined prompt logic to address scenarios with no clinic data by removing redundant conditions and ensuring appropriate responses are generated. This improves clarity and consistency in AI feedback for edge cases.

trauma/api/message/ai/openai_request.py

@@ -56,11 +56,9 @@ async def generate_final_response(
     if empty_field_instructions:
         prompt = (TraumaPrompts.generate_not_fully_recommendations
                   .replace("{instructions}", empty_field_instructions))
-    elif json.loads(final_entities)['klinieken']:
+    else:
         prompt = (TraumaPrompts.generate_recommendation_decision
                   .replace("{final_entities}", final_entities))
-    else:
-        prompt = TraumaPrompts.generate_empty_recommendations
     messages = [
         {
             "role": "system",