Update app.py

app.py

@@ -1752,6 +1752,20 @@ def create_enhanced_ui():
                         label="Predictive Forecasts",
                         value={}
                     )
+
+                                with gr.Accordion("🤖 Claude AI Synthesis", open=True):
+                    gr.Markdown("""
+                    **Claude Opus 4.5 Executive Summary:**
+                    - 📋 Incident synthesis from all agents
+                    - 🎯 Root cause identification
+                    - 💡 Recommended recovery actions
+                    - ⏰ Impact and recovery time estimates
+                    """)
+                    
+                    claude_output = gr.Markdown(
+                        value="*Claude AI synthesis will appear here after incident analysis*",
+                        label="AI Executive Summary"
+                    )
                 
                 gr.Markdown("### 📈 Recent Events (Last 15)")
                 events_table = gr.Dataframe(
@@ -1784,7 +1798,7 @@ def create_enhanced_ui():
                     )
             
             gr.Markdown("\n\n".join(policy_info))
-        
+            
         # FIXED: Native async handler (no event loop creation needed)
         async def submit_event_enhanced_async(
             component, latency, error_rate, throughput, cpu_util, memory_util
@@ -1801,7 +1815,7 @@ def create_enhanced_ui():
                 allowed, rate_msg = rate_limiter.is_allowed()
                 if not allowed:
                     logger.warning(f"Rate limit exceeded")
-                    return rate_msg, {}, {}, gr.Dataframe(value=[])
+                    return rate_msg, {}, {}, "*Rate limit exceeded*", gr.Dataframe(value=[])
                 
                 # Type conversion
                 try:
@@ -1813,7 +1827,7 @@ def create_enhanced_ui():
                 except (ValueError, TypeError) as e:
                     error_msg = f"❌ Invalid input types: {str(e)}"
                     logger.warning(error_msg)
-                    return error_msg, {}, {}, gr.Dataframe(value=[])
+                    return error_msg, {}, {}, "*Invalid input type*", gr.Dataframe(value=[])
                 
                 # Input validation
                 is_valid, error_msg = validate_inputs(
@@ -1821,7 +1835,7 @@ def create_enhanced_ui():
                 )
                 if not is_valid:
                     logger.warning(f"Invalid input: {error_msg}")
-                    return error_msg, {}, {}, gr.Dataframe(value=[])
+                    return error_msg, {}, {}, "*Validation failed*", gr.Dataframe(value=[])
                 
                 # FIXED: Direct async call - no event loop creation needed
                 result = await enhanced_engine.process_event_enhanced(
@@ -1830,7 +1844,7 @@ def create_enhanced_ui():
                 
                 # Handle errors
                 if 'error' in result:
-                    return f"❌ {result['error']}", {}, {}, gr.Dataframe(value=[])
+                    return f"❌ {result['error']}", {}, {}, "*Error occurred*", gr.Dataframe(value=[])
                 
                 # Build table data (THREAD-SAFE)
                 table_data = []
@@ -1865,7 +1879,7 @@ def create_enhanced_ui():
                 if result.get("business_impact"):
                     impact = result["business_impact"]
                     output_msg += (
-                        f"💰 **Business Impact**: ${impact['revenue_loss_estimate']:.2f} | "
+                        f"💰 **Business Impact**: \${impact['revenue_loss_estimate']:.2f} | "
                         f"👥 {impact['affected_users_estimate']} users | "
                         f"🚨 {impact['severity_level']}\n"
                     )
@@ -1877,10 +1891,26 @@ def create_enhanced_ui():
                 agent_insights_data = result.get("multi_agent_analysis", {})
                 predictive_insights_data = agent_insights_data.get('predictive_insights', {})
                 
+                # Extract Claude synthesis for display
+                claude_synthesis = result.get('claude_synthesis', {})
+                claude_text = claude_synthesis.get('summary', '*No Claude synthesis available*')
+                
+                # Format Claude output beautifully
+                claude_display = f"""
+### 🤖 Claude Opus 4.5 Executive Analysis
+
+{claude_text}
+
+---
+*Generated: {claude_synthesis.get('timestamp', 'N/A')}*  
+*Model: {claude_synthesis.get('source', 'claude-opus-4')}*
+"""
+                
                 return (
                     output_msg,
                     agent_insights_data,
                     predictive_insights_data,
+                    claude_display,
                     gr.Dataframe(
                         headers=["Timestamp", "Component", "Latency", "Error Rate", "Throughput", "Severity", "Analysis"],
                         value=table_data,
@@ -1891,13 +1921,13 @@ def create_enhanced_ui():
             except Exception as e:
                 error_msg = f"❌ Error processing event: {str(e)}"
                 logger.error(error_msg, exc_info=True)
-                return error_msg, {}, {}, gr.Dataframe(value=[])
+                return error_msg, {}, {}, "*Processing error*", gr.Dataframe(value=[])
         
         # FIXED: Use async handler directly
         submit_btn.click(
-            fn=submit_event_enhanced_async,  # Native async support
+            fn=submit_event_enhanced_async,
             inputs=[component, latency, error_rate, throughput, cpu_util, memory_util],
-            outputs=[output_text, agent_insights, predictive_insights, events_table]
+            outputs=[output_text, agent_insights, predictive_insights, claude_output, events_table]
         )
     
     return demo