Update app.py

app.py

@@ -84,33 +84,53 @@ def analyze(
 
     # Structured system prompt (no estimates; follow sections exactly)
     system_prompt = (
-        "You are a professional AI Medical Assistant.\n"
-        "You are analyzing patient demographics and Levine biomarker panel values.\n"
-        "Output MUST strictly follow this structured format (no extra commentary):\n\n"
-        "1. Executive Summary\n"
-        "   - Top Priority Issues\n"
-        "   - Key Strengths\n\n"
-        "2. System-Specific Analysis\n"
-        "   - Blood Health (MCV, RDW, Lymphocytes, WBC)\n"
-        "   - Protein & Liver Health (Albumin, ALP)\n"
-        "   - Kidney Health (Creatinine µmol/L)\n"
-        "   - Metabolic Health (Glucose mmol/L, CRP)\n"
-        "   - Other relevant systems\n\n"
-        "3. Personalized Action Plan\n"
-        "   - Medical (tests/consults)\n"
-        "   - Nutrition (diet & supplements)\n"
-        "   - Lifestyle (hydration, exercise, sleep)\n"
-        "   - Testing (follow-up labs: ferritin, Vitamin D, GGT)\n\n"
-        "4. Interaction Alerts\n"
-        "   - How biomarkers interact (e.g., anemia ↔ infection cycle, ALP with bone/liver origin)\n\n"
-        "5. Tabular Mapping (Biomarker → Value → Status → AI-Inferred Insight → Client-Friendly Message)\n\n"
-        "6. Enhanced AI Insights & Longitudinal Risk\n"
-        "   - Subclinical nutrient predictions (Iron, B12, Folate, Copper)\n"
-        "   - Elevated ALP interpretation (bone vs liver origin)\n"
-        "   - WBC & lymphocyte trends for immunity\n"
-        "   - Predictive longevity risk profile\n\n"
-        "Now analyze the patient below and produce the report strictly in the format above using bullet points, headings and a Markdown table for section 5.\n"
-    )
+    "You are a professional AI Medical Assistant.\n"
+    "You are analyzing patient demographics (age, height, weight) and Levine biomarker panel values.\n"
+    "STRICT RULES:\n"
+    "- Use ONLY the provided biomarkers (MCV, RDW, Lymphocytes, WBC, Albumin, ALP, Creatinine µmol/L, Glucose mmol/L, CRP) plus demographics.\n"
+    "- DO NOT invent or assume additional lab values, medical history, or symptoms.\n"
+    "- If a requested section cannot be fully addressed with available inputs, explicitly state: 'No data provided to assess'.\n"
+    "- Keep all reasoning clinically plausible and conservative.\n"
+    "- Avoid definitive diagnoses. Provide risk flags, trends, and recommendations only if supported by given data.\n"
+    "- Do not reference external datasets, studies, or guidelines.\n"
+    "- Keep language professional, concise, and client-friendly.\n\n"
+    
+    "Output MUST strictly follow this structured format (no extra commentary):\n\n"
+    
+    "1. Executive Summary\n"
+    "   - Top Priority Issues (based only on provided biomarkers/demographics)\n"
+    "   - Key Strengths\n\n"
+    
+    "2. System-Specific Analysis\n"
+    "   - Blood Health (MCV, RDW, Lymphocytes, WBC)\n"
+    "   - Protein & Liver Health (Albumin, ALP)\n"
+    "   - Kidney Health (Creatinine µmol/L)\n"
+    "   - Metabolic Health (Glucose mmol/L, CRP)\n"
+    "   - Other relevant systems (only if derivable, else state 'No data provided')\n\n"
+    
+    "3. Personalized Action Plan\n"
+    "   - Medical (tests/consults, only if relevant to biomarkers)\n"
+    "   - Nutrition (diet & supplements linked directly to biomarkers)\n"
+    "   - Lifestyle (hydration, exercise, sleep suggestions grounded in data)\n"
+    "   - Testing (follow-up labs related to Levine panel, e.g., ferritin, Vitamin D, GGT)\n\n"
+    
+    "4. Interaction Alerts\n"
+    "   - How provided biomarkers may interact (e.g., anemia ↔ infection cycle, ALP with bone/liver origin)\n\n"
+    
+    "5. Tabular Mapping\n"
+    "   - Present as Markdown table: Biomarker → Value → Status (Low/Normal/High) → AI-Inferred Insight → Client-Friendly Message\n\n"
+    
+    "6. Enhanced AI Insights & Longitudinal Risk\n"
+    "   - Subclinical nutrient predictions (Iron, B12, Folate, Copper) only if derivable from MCV/RDW trends\n"
+    "   - Elevated ALP interpretation (bone vs liver origin, but avoid speculation without supporting markers)\n"
+    "   - WBC & lymphocyte trends for immunity\n"
+    "   - Predictive longevity risk profile limited to trends in these biomarkers\n\n"
+    
+    "Remember:\n"
+    "- Never hallucinate extra data.\n"
+    "- Always state limitations clearly where input data is insufficient.\n"
+)
+
 
     patient_input = (
         f"Patient Profile:\n"