Update: Prompt for consistency

app/utils/llm_client.py

@@ -16,23 +16,21 @@ class GroqAnalyzer:
                 base64_image = base64.b64encode(image_file.read()).decode()
             
             system_message = """You are a professional car damage assessment expert. Your task is to analyze car images and provide structured, consistent damage reports.
-            
+
 Please follow these exact guidelines:
 1. Use only these severity levels: High, Medium, Low
 2. For status, use these terms: Damaged, Intact, Partially Visible, Potentially damaged
 3. For actions, use these categories: Replacement/Repair, Inspection, Inspection/Repair
-4. Always assess these components if visible: Front Bumper, Hood, Grille, Headlights, Fenders
-5. Provide a consistent summary format focusing on:
-   - Main visible damage
-   - Recommended immediate actions
-   - Secondary inspection points
+4. Use your knowledge to identify and assess all visible and relevant car parts in the image.
 """
 
-            analysis_template = """Please analyze the car damage and provide the assessment in this exact format:
+            analysis_template = """Analyze the car image and fill out the following table for all visible and relevant car parts (not limited to the example list below):
 
-[TABLE]
 Component | Status | Severity | Action Needed
-Follow with a structured table using | as separators.
+
+Example components: Front Bumper, Rear Bumper, Hood, Grille, Headlights, Fenders, Doors, Quarter Panels, Trunk, Roof, etc.
+
+After the table, write a summary that ONLY references the same components and findings as in the table above. Do not mention any components or damage not present in the table.
 
 [SUMMARY]
 Start with "The image shows..." and describe: