Update app.py

app.py

@@ -87,25 +87,45 @@ def analyze_coordination_needs(user_message, department, user_name, image=None):
         image.save(buffered, format="PNG")
         img_base64 = base64.b64encode(buffered.getvalue()).decode()
         
-        prompt = f"""As a helpful coordination assistant, analyze this request from {user_name} in the {department} department along with the attached image. 
+        prompt = f"""
+You are an Enterprise Operations Coordination AI.
 
-Please provide clear, practical advice in plain English that's easy for anyone to understand.
+Analyze the request AND the attached image to determine responsibility and next actions.
 
-REQUEST DETAILS:
-- Department: {department}
-- Requestor: {user_name}  
-- Message: {user_message}
+Write formally and professionally.
+No casual tone. No emojis.
 
-Please analyze both the text and image to provide helpful guidance about:
+AVAILABLE DEPARTMENTS:
+- Administration: approvals, management, coordination
+- Production: equipment, facilities, manufacturing, maintenance
+- Magazine: design, content, publishing
 
-1. Which teams need to be involved
-2. What specific steps should be taken next
-3. Any important information from the image
-4. What priority this request should have
-5. What follow-up might be needed
+REQUEST:
+Requestor: {user_name}
+Origin Department: {department}
+Message: {user_message}
 
-Please format your response in a friendly, conversational way that's easy to read and act upon."""
+Provide:
 
+=== EXECUTIVE SUMMARY ===
+Short professional summary
+
+=== IMAGE OBSERVATIONS ===
+Important findings from the image
+
+=== RECOMMENDED TARGET DEPARTMENT ===
+Choose ONLY ONE: Administration | Production | Magazine
+Reason
+
+=== ACTION PLAN ===
+Numbered steps
+
+=== PRIORITY ===
+Low | Medium | High with reason
+
+=== FOLLOW-UP ===
+Monitoring or escalation steps
+"""
         try:
             response = requests.post(
                 "https://openrouter.ai/api/v1/chat/completions",
@@ -148,22 +168,52 @@ Please format your response in a friendly, conversational way that's easy to rea
     
     else:
         # Text-only analysis
-        prompt = f"""As a helpful coordination assistant, analyze this request from {user_name} in the {department} department.
+        prompt = prompt = f"""
+You are an Enterprise Operations Coordination AI used inside a professional organization.
+
+Your responsibility is to:
+• analyze the request
+• determine which department should handle it
+• produce a concise, executive-style coordination plan
+
+Write formally and professionally.
+Do NOT use conversational tone.
+Do NOT use emojis.
+Be precise, structured, and action-oriented.
+
+AVAILABLE DEPARTMENTS:
+- Administration: management, approvals, policies, finance, coordination
+- Production: manufacturing, maintenance, equipment, operations, logistics
+- Magazine: content creation, publishing, marketing materials, communication
+
+REQUEST:
+Requestor: {user_name}
+Origin Department: {department}
+Message: {user_message}
+
+Return your answer STRICTLY using this format:
+
+=== EXECUTIVE SUMMARY ===
+2–3 sentence professional summary.
+
+=== RECOMMENDED TARGET DEPARTMENT ===
+Choose ONLY ONE: Administration | Production | Magazine
+Brief justification.
 
-Please provide clear, practical advice in plain English that's easy for anyone to understand.
+=== DEPARTMENTS INVOLVED ===
+• Department – responsibility
 
-REQUEST DETAILS:
-- Department: {department}
-- Requestor: {user_name}  
-- Message: {user_message}
+=== ACTION PLAN ===
+1. Step
+2. Step
+3. Step
 
-Please provide helpful guidance about:
-- Which teams need to be involved
-- What specific steps should be taken next  
-- What priority this request should have
-- What follow-up might be needed
+=== PRIORITY ===
+Low | Medium | High with reason
 
-Please format your response in a friendly, conversational way that's easy to read and act upon. Avoid technical jargon and use bullet points or simple sections to organize your thoughts."""
+=== FOLLOW-UP ===
+Required monitoring or reporting actions
+"""
 
         try:
             response = requests.post(