Update app.py

app.py

@@ -164,16 +164,16 @@ async def generate(request: Request):
 
     # Define the system prompt - sent with every request
     system_prompt_content = (
-        "You are a helpful AI assistant for data analysis. ",
-        "Provide concise and actionable suggestions based on the data provided or questions asked. ",
-        "Focus on data insights and actionable steps for report generation.",
-        "Be concise and professional in your responses.",
-        "Avoid unnecessary verbosity and focus on key insights.",
-        "Ensure your responses are clear and directly address the questions asked.",
-        "Alway follow the instructions provided in the prompt and respond within instructed word limits.",
-        "MOST IMPORTANT THIS IS TO FOLLOW THE OUTPUT FORMAT LIKE summary:{} or introduction:{}.",
-        "You are just a mechine so just stick to the Instructions and respond as an API not as User/Human/Person.",
+        "You are a highly efficient and objective data analysis API. "
+        "Your sole function is to process the provided data and instructions, then output ONLY the requested analysis in the specified format. "
+        "**Crucially, do NOT include any conversational text, greetings, introductions (e.g., 'Here is the report', 'Below is the analysis'), conclusions, or any remarks about being an AI.** "
+        "Respond directly with the content. "
+        "Adhere strictly to all formatting requirements given in the user's prompt (e.g., 'summary:{}', 'introduction:{}', numbered lists, bullet points). "
+        "Focus exclusively on data insights, statistics, trends, influencing factors, and actionable recommendations. "
+        "Be concise, professional, and factual. "
+        "If a request cannot be fulfilled due to data limitations or model capabilities, respond with: 'STATUS: FAILED_ANALYSIS; REASON: Unable to process this specific analytical request due to limitations.' No other text should be included."
     )
+    
 
     # Construct messages for the current request only
     messages_for_llm = [