Update app.py

app.py

@@ -2,7 +2,7 @@
 🚀 ARF Ultimate Investor Demo v3.8.0 - ENTERPRISE EDITION
 MODULAR VERSION - Properly integrated with all components
 ULTIMATE FIXED VERSION with all critical issues resolved
-NOW WITH REAL ARF v3.3.7 INTEGRATION AND DYNAMIC SCENARIO METRICS
+NOW WITH TRUE ARF v3.3.7 INTEGRATION AND DYNAMIC SCENARIO METRICS
 """
 
 import logging
@@ -73,7 +73,7 @@ class Settings:
     """Simple settings class"""
     def __init__(self):
         self.arf_mode = "demo"
-        self.use_mock_arf = True  # Start with mock to prevent auto-analysis
+        self.use_true_arf = True  # Use true ARF integration
         self.default_scenario = "Cache Miss Storm"
         self.max_history_items = 100
         self.auto_refresh_seconds = 30
@@ -145,347 +145,125 @@ def get_inactive_agent_html(agent_name: str, description: str):
     </div>
     """
 
-# Replace the RealARFOrchestrator class in app.py with this fixed version:
-
 # ===========================================
-# REAL ARF ORCHESTRATOR (FIXED VERSION)
+# TRUE ARF 3.3.7 ORCHESTRATOR (UPDATED VERSION)
 # ===========================================
-class RealARFOrchestrator:
+class TrueARF337Orchestrator:
     """
-    Real ARF v3.3.7 orchestrator with OSS + Enterprise integration
-    Showcases novel execution protocols and enhanced healing policies
+    True ARF v3.3.7 orchestrator with:
+    - Real OSS package for advisory analysis (agentic-reliability-framework==3.3.7)
+    - Enterprise simulation to show upgrade value
+    - Clear separation between OSS and Enterprise features
     """
     
     def __init__(self):
-        logger.info("RealARFOrchestrator initialized with v3.3.7")
-        self.real_arf_available = False
-        self.arf_integration = None
-        
-        # Initialize mock function attributes FIRST
-        self._mock_functions_loaded = False
-        self._simulate_arf_analysis = None
-        self._run_rag_similarity_search = None
-        self._create_mock_healing_intent = None
-        self._calculate_pattern_confidence = None
-        
-        # Try to initialize real ARF integration
+        logger.info("TrueARF337Orchestrator initialized with v3.3.7")
+        self.true_oss_available = False
+        self.enterprise_sim_available = False
+        self._initialize_true_components()
+    
+    def _initialize_true_components(self):
+        """Initialize true ARF components"""
+        # Try to load true OSS integration
         try:
-            # Check if our real ARF integration is available
-            from core.real_arf_integration import (
-                get_real_arf,
-                analyze_with_real_arf,
-                execute_with_real_arf,
-                DEMO_TRIAL_LICENSE
-            )
-            self.real_arf_available = True
-            self.analyze_with_real_arf = analyze_with_real_arf
-            self.execute_with_real_arf = execute_with_real_arf
-            self.demo_license = DEMO_TRIAL_LICENSE
-            logger.info("✅ Real ARF v3.3.7 integration loaded")
+            from core.true_arf_oss import get_true_arf_oss
+            self.true_oss = get_true_arf_oss
+            self.true_oss_available = True
+            logger.info("✅ True ARF OSS v3.3.7 component loaded")
         except ImportError as e:
-            logger.warning(f"⚠️ Real ARF integration not available: {e}")
-            logger.info("   Falling back to mock implementation")
+            logger.warning(f"True ARF OSS not available: {e}")
+            self.true_oss_available = False
+            self.true_oss = None
+        
+        # Try to load enterprise simulation
+        try:
+            from core.enterprise_simulation import get_enterprise_simulation
+            self.enterprise_sim = get_enterprise_simulation
+            self.enterprise_sim_available = True
+            logger.info("✅ Enterprise simulation component loaded")
+        except ImportError as e:
+            logger.warning(f"Enterprise simulation not available: {e}")
+            self.enterprise_sim_available = False
+            self.enterprise_sim = None
+        
+        # Fallback to mock if true components not available
+        if not self.true_oss_available:
+            logger.info("⚠️ Falling back to enhanced mock ARF")
             self._init_mock_fallback()
     
     def _init_mock_fallback(self):
         """Initialize mock fallback functions with scenario-aware metrics"""
-        # Initialize the mock function attributes
-        self._mock_functions_loaded = False
-        self._simulate_arf_analysis = None
-        self._run_rag_similarity_search = None
-        self._create_mock_healing_intent = None
-        self._calculate_pattern_confidence = None
-        
-        # We'll load the functions lazily when needed
-        logger.info("Mock fallback initialized - functions will load on demand")
-    
-    def _load_mock_functions(self):
-        """Lazy load enhanced mock ARF functions with scenario-aware metrics"""
-        if not self._mock_functions_loaded:
-            try:
-                # Try to import enhanced mock ARF functions
-                from demo.mock_arf import (
-                    simulate_arf_analysis,
-                    run_rag_similarity_search,
-                    create_mock_healing_intent,
-                    calculate_pattern_confidence
-                )
-                self._simulate_arf_analysis = simulate_arf_analysis
-                self._run_rag_similarity_search = run_rag_similarity_search
-                self._create_mock_healing_intent = create_mock_healing_intent
-                self._calculate_pattern_confidence = calculate_pattern_confidence
-                self._mock_functions_loaded = True
-                logger.info("✅ Enhanced scenario-aware mock ARF functions loaded")
-            except ImportError as e:
-                logger.error(f"Failed to load enhanced mock ARF functions: {e}")
-                # Create fallback functions with scenario-aware metrics
-                self._create_scenario_aware_fallback_functions()
-    
-    def _create_scenario_aware_fallback_functions(self):
-        """Create scenario-aware fallback mock functions"""
-        import random
-        import time as ttime
-        
-        # Scenario-specific configurations
-        scenario_configs = {
-            "Cache Miss Storm": {
-                "detection_confidence_range": (0.97, 0.995),
-                "detection_time_range": (35, 55),
-                "accuracy_range": (0.97, 0.995),
-                "similar_incidents_range": (2, 5),
-                "similarity_score_range": (0.88, 0.96),
-                "pattern_confidence_range": (0.91, 0.97),
-                "success_rate_range": (0.82, 0.93),
-                "cost_savings_range": (5000, 9000)
-            },
-            "Database Connection Pool Exhaustion": {
-                "detection_confidence_range": (0.92, 0.98),
-                "detection_time_range": (40, 65),
-                "accuracy_range": (0.95, 0.985),
-                "similar_incidents_range": (1, 4),
-                "similarity_score_range": (0.85, 0.94),
-                "pattern_confidence_range": (0.88, 0.95),
-                "success_rate_range": (0.78, 0.88),
-                "cost_savings_range": (3500, 5500)
-            },
-            "Kubernetes Memory Leak": {
-                "detection_confidence_range": (0.94, 0.99),
-                "detection_time_range": (30, 50),
-                "accuracy_range": (0.96, 0.99),
-                "similar_incidents_range": (3, 6),
-                "similarity_score_range": (0.89, 0.95),
-                "pattern_confidence_range": (0.90, 0.96),
-                "success_rate_range": (0.85, 0.92),
-                "cost_savings_range": (4500, 7500)
-            },
-            "API Rate Limit Storm": {
-                "detection_confidence_range": (0.96, 0.99),
-                "detection_time_range": (25, 45),
-                "accuracy_range": (0.97, 0.99),
-                "similar_incidents_range": (2, 4),
-                "similarity_score_range": (0.87, 0.93),
-                "pattern_confidence_range": (0.89, 0.94),
-                "success_rate_range": (0.80, 0.90),
-                "cost_savings_range": (3000, 5000)
-            },
-            "Network Partition": {
-                "detection_confidence_range": (0.98, 0.999),
-                "detection_time_range": (20, 40),
-                "accuracy_range": (0.98, 0.995),
-                "similar_incidents_range": (1, 3),
-                "similarity_score_range": (0.90, 0.97),
-                "pattern_confidence_range": (0.93, 0.98),
-                "success_rate_range": (0.75, 0.85),
-                "cost_savings_range": (8000, 15000)
-            },
-            "Storage I/O Saturation": {
-                "detection_confidence_range": (0.93, 0.98),
-                "detection_time_range": (45, 70),
-                "accuracy_range": (0.94, 0.98),
-                "similar_incidents_range": (2, 5),
-                "similarity_score_range": (0.86, 0.92),
-                "pattern_confidence_range": (0.87, 0.93),
-                "success_rate_range": (0.79, 0.87),
-                "cost_savings_range": (5500, 8500)
-            }
-        }
-        
-        def get_scenario_config(scenario_name):
-            """Get configuration for a specific scenario"""
-            return scenario_configs.get(scenario_name, {
-                "detection_confidence_range": (0.90, 0.98),
-                "detection_time_range": (30, 60),
-                "accuracy_range": (0.92, 0.98),
-                "similar_incidents_range": (1, 3),
-                "similarity_score_range": (0.85, 0.95),
-                "pattern_confidence_range": (0.85, 0.95),
-                "success_rate_range": (0.75, 0.90),
-                "cost_savings_range": (4000, 8000)
-            })
-        
-        def simulate_arf_analysis(scenario):
-            """Scenario-aware mock analysis"""
-            scenario_name = scenario.get("name", "Unknown Scenario")
-            config = get_scenario_config(scenario_name)
-            
-            # Generate scenario-specific values
-            detection_confidence = random.uniform(*config["detection_confidence_range"])
-            detection_time = random.randint(*config["detection_time_range"])
-            accuracy = random.uniform(*config["accuracy_range"])
-            
-            return {
-                "analysis_complete": True,
-                "anomaly_detected": True,
-                "severity": scenario.get("severity", "HIGH"),
-                "confidence": round(detection_confidence, 3),
-                "detection_time_ms": detection_time * 1000,
-                "detection_time_seconds": detection_time,
-                "accuracy": round(accuracy, 3),
-                "component": scenario.get("component", "unknown"),
-                "scenario_specific": True,
-                "scenario_name": scenario_name
-            }
-        
-        def run_rag_similarity_search(scenario):
-            """Scenario-aware RAG search"""
-            scenario_name = scenario.get("name", "Unknown Scenario")
-            config = get_scenario_config(scenario_name)
-            
-            similar_count = random.randint(*config["similar_incidents_range"])
-            similar_incidents = []
-            
-            base_time = int(ttime.time())
-            
-            for i in range(similar_count):
-                similarity_score = random.uniform(*config["similarity_score_range"])
-                cost_savings = random.randint(*config["cost_savings_range"])
-                
-                similar_incidents.append({
-                    "incident_id": f"inc_{base_time - random.randint(1, 90)}_00{i}",
-                    "similarity_score": round(similarity_score, 3),
-                    "success": random.random() > 0.15,
-                    "resolution": "scale_out",
-                    "cost_savings": cost_savings,
-                    "detection_time": f"{random.randint(30, 60)}s",
-                    "resolution_time": f"{random.randint(10, 25)}m",
-                    "pattern": f"{scenario_name.lower().replace(' ', '_')}_v{random.randint(1, 3)}",
-                    "affected_users": random.randint(20000, 60000),
-                    "component_match": scenario.get("component", "unknown"),
-                    "rag_source": "production_memory_v3"
-                })
-            
-            return similar_incidents
-        
-        def calculate_pattern_confidence(scenario, similar_incidents):
-            """Calculate pattern confidence based on similar incidents"""
-            scenario_name = scenario.get("name", "Unknown Scenario")
-            config = get_scenario_config(scenario_name)
-            
-            if not similar_incidents:
-                return random.uniform(*config["pattern_confidence_range"])
-            
-            # Calculate average similarity and success rate
-            similarity_scores = [inc["similarity_score"] for inc in similar_incidents]
-            success_rates = [1.0 if inc["success"] else 0.0 for inc in similar_incidents]
-            
-            avg_similarity = sum(similarity_scores) / len(similarity_scores)
-            avg_success = sum(success_rates) / len(success_rates)
-            
-            # Weighted average: 60% similarity, 40% success rate
-            confidence = (avg_similarity * 0.6) + (avg_success * 0.4)
-            
-            # Keep within scenario range
-            min_conf, max_conf = config["pattern_confidence_range"]
-            confidence = max(min_conf, min(max_conf, confidence))
-            
-            return round(confidence, 3)
-        
-        def create_mock_healing_intent(scenario, similar_incidents, confidence):
-            """Create mock healing intent based on scenario"""
-            scenario_name = scenario.get("name", "Unknown Scenario")
-            config = get_scenario_config(scenario_name)
-            
-            component = scenario.get("component", "unknown")
-            
-            # Determine action based on component
-            if "cache" in component.lower():
-                action = "scale_out"
-                parameters = {"nodes": "3→5", "memory": "16GB→32GB"}
-            elif "database" in component.lower():
-                action = "restart"
-                parameters = {"connections": "reset_pool", "timeout": "30s"}
-            elif "kubernetes" in component.lower():
-                action = "memory_limit_increase"
-                parameters = {"memory": "1Gi→2Gi", "strategy": "pod_restart"}
-            elif "api" in component.lower():
-                action = "circuit_breaker"
-                parameters = {"threshold": "80%", "window": "5m"}
-            else:
-                action = "investigate"
-                parameters = {"priority": "high"}
-            
-            # Calculate success rate
-            if similar_incidents:
-                success_count = sum(1 for inc in similar_incidents if inc["success"])
-                success_rate = success_count / len(similar_incidents)
-            else:
-                success_rate = random.uniform(*config["success_rate_range"])
-            
-            # Calculate estimated savings
-            if similar_incidents:
-                avg_savings = sum(inc["cost_savings"] for inc in similar_incidents) / len(similar_incidents)
-            else:
-                avg_savings = sum(config["cost_savings_range"]) / 2
-            
-            return {
-                "action": action,
-                "component": component,
-                "confidence": confidence,
-                "parameters": parameters,
-                "success_rate": round(success_rate, 3),
-                "estimated_savings": int(avg_savings),
-                "safety_checks": {
-                    "blast_radius": f"{random.randint(1, 3)} services",
-                    "business_hours": "compliant",
-                    "rollback_plan": "available"
-                },
-                "scenario_specific": True,
-                "scenario_name": scenario_name
-            }
-        
-        self._simulate_arf_analysis = simulate_arf_analysis
-        self._run_rag_similarity_search = run_rag_similarity_search
-        self._calculate_pattern_confidence = calculate_pattern_confidence
-        self._create_mock_healing_intent = create_mock_healing_intent
-        self._mock_functions_loaded = True
-        logger.info("Scenario-aware fallback mock functions created")
+        try:
+            from demo.mock_arf import (
+                simulate_arf_analysis,
+                run_rag_similarity_search,
+                create_mock_healing_intent,
+                calculate_pattern_confidence
+            )
+            self._simulate_arf_analysis = simulate_arf_analysis
+            self._run_rag_similarity_search = run_rag_similarity_search
+            self._create_mock_healing_intent = create_mock_healing_intent
+            self._calculate_pattern_confidence = calculate_pattern_confidence
+            logger.info("✅ Enhanced scenario-aware mock ARF functions loaded")
+        except ImportError as e:
+            logger.error(f"Failed to load mock ARF functions: {e}")
     
     async def analyze_incident(self, scenario_name: str, scenario_data: Dict[str, Any]) -> Dict[str, Any]:
         """
-        Analyze an incident using REAL ARF v3.3.7 when available
+        Analyze an incident using TRUE ARF v3.3.7 when available
         
-        This method now showcases:
-        1. OSS analysis (detection, recall, decision)
-        2. Enterprise enhancements (novel execution protocols)
-        3. Enhanced healing policies from v3.3.7
+        This method showcases:
+        1. True OSS analysis (if agentic-reliability-framework installed)
+        2. Enterprise value proposition simulation
+        3. Clear OSS/Enterprise boundary
         """
-        logger.info(f"RealARFOrchestrator analyzing incident: {scenario_name}")
+        logger.info(f"TrueARF337Orchestrator analyzing incident: {scenario_name}")
         
-        # Use real ARF if available, otherwise fallback to mock
-        if self.real_arf_available:
-            return await self._analyze_with_real_arf(scenario_name, scenario_data)
+        # Use true OSS if available, otherwise fallback to mock
+        if self.true_oss_available and self.true_oss:
+            return await self._analyze_with_true_oss(scenario_name, scenario_data)
         else:
             return await self._analyze_with_mock(scenario_name, scenario_data)
     
-    async def _analyze_with_real_arf(self, scenario_name: str, scenario_data: Dict[str, Any]) -> Dict[str, Any]:
-        """Analyze using real ARF v3.3.7"""
+    async def _analyze_with_true_oss(self, scenario_name: str, scenario_data: Dict[str, Any]) -> Dict[str, Any]:
+        """Analyze using true ARF OSS v3.3.7"""
         try:
-            # Use our real ARF integration
-            analysis = await self.analyze_with_real_arf(scenario_name, scenario_data)
+            # Get true OSS instance
+            true_oss_instance = await self.true_oss()
             
-            # Enhance with additional metadata for demo
-            if analysis.get("status") == "success":
-                # Add demo-specific enhancements
-                oss_analysis = analysis.get("oss_analysis", {})
-                enterprise_enhancements = analysis.get("enterprise_enhancements", {})
-                
-                # Extract confidence values
-                detection_confidence = oss_analysis.get("confidence", 0.85)
-                similar_count = len(oss_analysis.get("recall", []))
-                
-                # Format for demo display
-                analysis["demo_display"] = {
+            # Run true OSS analysis
+            oss_analysis = await true_oss_instance.analyze_scenario(scenario_name, scenario_data)
+            
+            # Enhance with Enterprise simulation if available
+            enterprise_enhancements = None
+            if self.enterprise_sim_available and self.enterprise_sim and oss_analysis.get("status") == "success":
+                enterprise_instance = await self.enterprise_sim()
+                enterprise_enhancements = await enterprise_instance.enhance_oss_analysis(
+                    oss_analysis, scenario_name
+                )
+            
+            # Compile results
+            result = {
+                "status": "success",
+                "scenario": scenario_name,
+                "arf_version": "3.3.7",
+                "true_oss_used": True,
+                "enterprise_simulated": self.enterprise_sim_available,
+                "oss_analysis": oss_analysis,
+                "enterprise_enhancements": enterprise_enhancements,
+                "demo_display": {
                     "real_arf_version": "3.3.7",
-                    "license": self.demo_license,
+                    "license": "Apache 2.0 (OSS)",
                     "novel_execution": enterprise_enhancements is not None,
-                    "rollback_guarantees": enterprise_enhancements.get("safety_guarantees", {}).get("rollback_guarantee", "N/A") if enterprise_enhancements else "N/A",
-                    "execution_modes": ["advisory", "approval", "autonomous"]
+                    "rollback_guarantees": enterprise_enhancements.get("enhancements", {}).get("rollback_guarantees", {}).get("guarantee", "N/A") if enterprise_enhancements else "N/A",
+                    "execution_modes": ["advisory", "approval", "autonomous"] if enterprise_enhancements else ["advisory"]
                 }
+            }
             
-            return analysis
+            return result
             
         except Exception as e:
-            logger.error(f"Real ARF analysis failed: {e}", exc_info=True)
+            logger.error(f"True OSS analysis failed: {e}", exc_info=True)
             # Fallback to mock
             return await self._analyze_with_mock(scenario_name, scenario_data)
     
@@ -494,10 +272,6 @@ class RealARFOrchestrator:
         logger.info(f"Using scenario-aware mock analysis for: {scenario_name}")
         
         try:
-            # Load mock functions if not loaded
-            if not self._mock_functions_loaded:
-                self._load_mock_functions()
-            
             # Add scenario name to data
             scenario_data_with_name = scenario_data.copy()
             scenario_data_with_name["name"] = scenario_name
@@ -544,51 +318,60 @@ class RealARFOrchestrator:
             }
     
     async def execute_healing(self, scenario_name: str, mode: str = "autonomous") -> Dict[str, Any]:
-        """Execute healing action using real ARF if available"""
-        if self.real_arf_available:
-            try:
-                return await self.execute_with_real_arf(scenario_name, mode)
-            except Exception as e:
-                logger.error(f"Real ARF execution failed: {e}")
-                # Fallback to simulated execution
-                return await self._simulate_execution(scenario_name, mode)
-        else:
-            return await self._simulate_execution(scenario_name, mode)
-    
-    async def _simulate_execution(self, scenario_name: str, mode: str = "autonomous") -> Dict[str, Any]:
-        """Simulate execution for mock/demo"""
+        """Execute healing action (simulated for demo)"""
+        # In true OSS, execution is not allowed - only advisory
+        # Enterprise simulation shows what would be possible with arf_enterprise
+        
         await asyncio.sleep(0.3)
         
         if mode == "advisory":
             return {
                 "status": "advisory_only",
-                "message": "OSS mode provides recommendations only",
+                "message": "OSS mode provides recommendations only. Upgrade to Enterprise for execution.",
                 "scenario": scenario_name,
                 "action": "analysis_complete",
-                "requires_enterprise": True
+                "requires_enterprise": True,
+                "enterprise_features_required": [
+                    "autonomous_execution",
+                    "novel_execution_protocols",
+                    "rollback_guarantees"
+                ]
             }
         elif mode == "approval":
+            # Simulate Enterprise approval mode
             return {
                 "status": "awaiting_approval",
-                "message": "Healing intent created, awaiting human approval",
+                "message": "Enterprise Approval Mode: Healing intent created, awaiting human approval",
                 "scenario": scenario_name,
                 "action": "scale_out",
                 "approval_required": True,
-                "estimated_savings": "$8,500"
+                "estimated_savings": "$8,500",
+                "enterprise_feature": True,
+                "requires_license": True
             }
         else:  # autonomous
+            # Simulate Enterprise autonomous mode
             return {
                 "status": "executed",
-                "message": "Healing action executed autonomously",
+                "message": "Enterprise Autonomous Mode: Healing action executed with safety guarantees",
                 "scenario": scenario_name,
                 "action": "scale_out",
                 "execution_time": "12 minutes",
                 "cost_saved": "$8,500",
-                "rollback_available": True
+                "rollback_available": True,
+                "rollback_guarantee": "STRONG",
+                "novel_execution_used": True,
+                "execution_mode": "autonomous",
+                "enterprise_features_used": [
+                    "deterministic_confidence",
+                    "novel_execution_protocols",
+                    "rollback_guarantees",
+                    "business_aware_execution"
+                ]
             }
 
 # ===========================================
-# IMPORT MODULAR COMPONENTS - UPDATED FOR REAL ARF
+# IMPORT MODULAR COMPONENTS - UPDATED FOR TRUE ARF
 # ===========================================
 def import_components() -> Dict[str, Any]:
     """Safely import all components with proper error handling"""
@@ -622,9 +405,9 @@ def import_components() -> Dict[str, Any]:
                 }
             }
         
-        # Use RealARFOrchestrator instead of FixedDemoOrchestrator
-        components["DemoOrchestrator"] = RealARFOrchestrator
-        logger.info("✅ Using RealARFOrchestrator with v3.3.7 integration")
+        # Use TrueARF337Orchestrator for true ARF integration
+        components["DemoOrchestrator"] = TrueARF337Orchestrator
+        logger.info("✅ Using TrueARF337Orchestrator with real v3.3.7 integration")
         
         # Import ROI calculator
         try:
@@ -692,7 +475,7 @@ def import_components() -> Dict[str, Any]:
             logger.error(f"UI components not available: {e}")
             # Create minimal UI fallbacks
             components.update({
-                "create_header": lambda version="3.3.7", mock=False: gr.HTML(f"<h2>🚀 ARF v{version} REAL</h2>"),
+                "create_header": lambda version="3.3.7", mock=False: gr.HTML(f"<h2>🚀 ARF v{version} TRUE</h2>"),
                 "create_status_bar": lambda: gr.HTML("<div>Status</div>"),
                 "create_tab1_incident_demo": lambda *args: [gr.Dropdown()] * 24,
                 "create_tab2_business_roi": lambda *args: [gr.Plot()] * 7,
@@ -712,7 +495,7 @@ def import_components() -> Dict[str, Any]:
         
         components["all_available"] = True
         components["error"] = None
-        logger.info("✅ Successfully imported all modular components with Real ARF")
+        logger.info("✅ Successfully imported all modular components with True ARF")
         
     except Exception as e:
         logger.error(f"❌ CRITICAL IMPORT ERROR: {e}")
@@ -927,20 +710,20 @@ def update_scenario_display(scenario_name: str) -> tuple:
     )
 
 # ===========================================
-# REAL ARF ANALYSIS HANDLER - UPDATED VERSION WITH DYNAMIC METRICS
+# TRUE ARF ANALYSIS HANDLER - UPDATED VERSION
 # ===========================================
 @AsyncRunner.async_to_sync
-async def run_oss_analysis(scenario_name: str):
-    """Run OSS analysis with real ARF v3.3.7 and dynamic scenario metrics"""
+async def run_true_arf_analysis(scenario_name: str):
+    """Run true ARF v3.3.7 analysis with OSS + Enterprise simulation"""
     try:
-        logger.info(f"Running REAL ARF analysis for: {scenario_name}")
+        logger.info(f"Running TRUE ARF analysis for: {scenario_name}")
         
         scenario = get_components()["INCIDENT_SCENARIOS"].get(scenario_name, {})
         
         if not scenario:
             raise ValueError(f"Scenario '{scenario_name}' not found")
         
-        # Use RealARFOrchestrator
+        # Use TrueARF337Orchestrator
         orchestrator = get_components()["DemoOrchestrator"]()
         analysis = await orchestrator.analyze_incident(scenario_name, scenario)
         
@@ -955,37 +738,43 @@ async def run_oss_analysis(scenario_name: str):
         # Update incident table
         incident_table_data = get_audit_manager().get_incident_table()
         
-        # Extract dynamic values from analysis
-        detection_result = analysis.get("detection", {})
-        detection_confidence = detection_result.get("confidence", 0.987)
-        detection_time_seconds = detection_result.get("detection_time_seconds", 45)
-        accuracy = detection_result.get("accuracy", 0.987)
-        
-        similar_incidents = analysis.get("recall", [])
-        similar_count = len(similar_incidents)
-        
-        decision_confidence = analysis.get("confidence", 0.94)
-        healing_intent = analysis.get("decision", {})
-        
-        # Get success rate from healing intent or calculate
-        success_rate = healing_intent.get("success_rate", 0.87)
-        
-        # Enhanced results with real ARF data
+        # Extract values from analysis
         demo_display = analysis.get("demo_display", {})
         real_arf_version = demo_display.get("real_arf_version", "mock")
+        true_oss_used = analysis.get("true_oss_used", False)
+        enterprise_simulated = analysis.get("enterprise_simulated", False)
         
-        if real_arf_version == "3.3.7":
+        # Get analysis data based on mode
+        if true_oss_used:
             oss_analysis = analysis.get("oss_analysis", {})
+            analysis_data = oss_analysis.get("analysis", {})
+            
+            detection_result = analysis_data.get("detection", {})
+            detection_confidence = detection_result.get("confidence", 0.987)
+            detection_time_seconds = detection_result.get("detection_time_ms", 45000) / 1000
+            
+            similar_incidents = analysis_data.get("recall", [])
+            similar_count = len(similar_incidents)
+            
+            decision_data = analysis_data.get("decision", {})
+            decision_confidence = decision_data.get("confidence", 0.94)
+            success_rate = decision_data.get("historical_success_rate", 0.87)
             
             # Check for enterprise enhancements
-            enterprise_enhancements = analysis.get("enterprise_enhancements")
-            novel_execution = enterprise_enhancements is not None
-            rollback_guarantee = enterprise_enhancements.get("safety_guarantees", {}).get("rollback_guarantee", "N/A") if enterprise_enhancements else "N/A"
+            enterprise_enhancements = analysis.get("enterprise_enhancements", {})
+            novel_execution = enterprise_enhancements is not None and enterprise_enhancements.get("enterprise_available", False)
+            
+            if enterprise_enhancements:
+                enhancements = enterprise_enhancements.get("enhancements", {})
+                rollback_guarantee = enhancements.get("rollback_guarantees", {}).get("guarantee", "N/A")
+            else:
+                rollback_guarantee = "N/A"
             
             oss_results = {
-                "status": "✅ REAL ARF Analysis Complete",
+                "status": "✅ TRUE ARF OSS Analysis Complete",
                 "arf_version": "3.3.7",
-                "license": demo_display.get("license", "ARF-TRIAL-DEMO-2026"),
+                "edition": "OSS (Apache 2.0)",
+                "license": "Apache 2.0",
                 "scenario": scenario_name,
                 "confidence": decision_confidence,
                 "novel_execution": novel_execution,
@@ -995,20 +784,33 @@ async def run_oss_analysis(scenario_name: str):
                     f"Anomaly detected with {detection_confidence:.1%} confidence",
                     f"{similar_count} similar incidents found in RAG memory",
                     f"Historical success rate for similar actions: {success_rate:.1%}",
-                    f"Novel execution protocols: {'✅ Available' if novel_execution else '❌ OSS Only'}"
+                    f"True ARF OSS package used: ✅ Yes",
+                    f"Enterprise features available: {'✅ Simulated' if enterprise_simulated else '❌ Not installed'}"
                 ],
                 "recommendations": [
                     "Scale resources based on historical patterns",
                     "Implement circuit breaker pattern",
                     "Add enhanced monitoring for key metrics",
-                    f"Rollback guarantee: {rollback_guarantee}"
+                    f"Rollback guarantee: {rollback_guarantee}",
+                    "Upgrade to Enterprise for autonomous execution"
                 ],
-                "healing_intent": healing_intent
+                "healing_intent": decision_data
             }
         else:
-            # Mock fallback with scenario-aware metrics
+            # Mock fallback
+            detection_result = analysis.get("detection", {})
+            detection_confidence = detection_result.get("confidence", 0.987)
+            detection_time_seconds = detection_result.get("detection_time_seconds", 45)
+            
+            similar_incidents = analysis.get("recall", [])
+            similar_count = len(similar_incidents)
+            
+            decision_confidence = analysis.get("confidence", 0.94)
+            healing_intent = analysis.get("decision", {})
+            success_rate = healing_intent.get("success_rate", 0.87)
+            
             oss_results = {
-                "status": "✅ OSS Analysis Complete (Scenario-Aware Mock)",
+                "status": "✅ OSS Analysis Complete (Enhanced Mock)",
                 "arf_version": "mock",
                 "scenario": scenario_name,
                 "confidence": decision_confidence,
@@ -1018,18 +820,19 @@ async def run_oss_analysis(scenario_name: str):
                     f"{similar_count} similar incidents found in RAG memory",
                     f"Historical success rate for similar actions: {success_rate:.1%}",
                     f"Detection time: {detection_time_seconds} seconds",
-                    f"Analysis accuracy: {accuracy:.1%}"
+                    f"Install agentic-reliability-framework==3.3.7 for true OSS analysis"
                 ],
                 "recommendations": [
                     "Scale resources based on historical patterns",
                     "Implement circuit breaker pattern",
-                    "Add enhanced monitoring for key metrics"
+                    "Add enhanced monitoring for key metrics",
+                    "Install true ARF OSS package for production use"
                 ],
                 "healing_intent": healing_intent,
-                "scenario_specific": True
+                "install_command": "pip install agentic-reliability-framework==3.3.7"
             }
         
-        # Update agent status HTML - Dynamic values based on scenario
+        # Update agent status HTML
         detection_html = f"""
         <div style="border: 2px solid #3b82f6; border-radius: 14px; padding: 18px; background: #eff6ff; text-align: center; min-height: 180px; display: flex; flex-direction: column; align-items: center; justify-content: center;">
             <div style="font-size: 32px; margin-bottom: 10px;">🕵️‍♂️</div>
@@ -1037,8 +840,8 @@ async def run_oss_analysis(scenario_name: str):
                 <h4 style="margin: 0 0 8px 0; font-size: 16px; color: #1e293b;">Detection Agent</h4>
                 <p style="font-size: 13px; color: #475569; margin-bottom: 12px; line-height: 1.4;">Anomaly detected: <strong>{detection_confidence:.1%} confidence</strong></p>
                 <div style="display: flex; justify-content: space-around; margin-bottom: 12px;">
-                    <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Response: {detection_time_seconds}s</span>
-                    <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Accuracy: {accuracy:.1%}</span>
+                    <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Response: {detection_time_seconds:.1f}s</span>
+                    <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">True ARF: {'✅' if true_oss_used else '⚠️'}</span>
                 </div>
                 <div style="display: inline-block; padding: 5px 14px; background: linear-gradient(135deg, #10b981 0%, #059669 100%); border-radius: 20px; font-size: 12px; font-weight: bold; color: white; text-transform: uppercase; letter-spacing: 0.5px;">ACTIVE</div>
             </div>
@@ -1053,7 +856,7 @@ async def run_oss_analysis(scenario_name: str):
                 <p style="font-size: 13px; color: #475569; margin-bottom: 12px; line-height: 1.4;"><strong>{similar_count} similar incidents</strong> found in RAG memory</p>
                 <div style="display: flex; justify-content: space-around; margin-bottom: 12px;">
                     <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Recall: 92%</span>
-                    <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Context: {similar_count} patterns</span>
+                    <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Patterns: {similar_count}</span>
                 </div>
                 <div style="display: inline-block; padding: 5px 14px; background: linear-gradient(135deg, #10b981 0%, #059669 100%); border-radius: 20px; font-size: 12px; font-weight: bold; color: white; text-transform: uppercase; letter-spacing: 0.5px;">ACTIVE</div>
             </div>
@@ -1068,14 +871,14 @@ async def run_oss_analysis(scenario_name: str):
                 <p style="font-size: 13px; color: #475569; margin-bottom: 12px; line-height: 1.4;">Generating healing intent with <strong>{decision_confidence:.1%} confidence</strong></p>
                 <div style="display: flex; justify-content: space-around; margin-bottom: 12px;">
                     <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Success Rate: {success_rate:.1%}</span>
-                    <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Safety: 100%</span>
+                    <span style="font-size: 11px; padding: 3px 8px; background: rgba(255, 255, 255, 0.8); border-radius: 6px; color: #475569; font-weight: 500;">Enterprise: {'✅' if enterprise_simulated else '⚠️'}</span>
                 </div>
                 <div style="display: inline-block; padding: 5px 14px; background: linear-gradient(135deg, #10b981 0%, #059669 100%); border-radius: 20px; font-size: 12px; font-weight: bold; color: white; text-transform: uppercase; letter-spacing: 0.5px;">ACTIVE</div>
             </div>
         </div>
         """
         
-        logger.info(f"Analysis completed successfully for {scenario_name} (Real ARF: {real_arf_version})")
+        logger.info(f"Analysis completed successfully for {scenario_name} (True ARF: {real_arf_version})")
         return (
             detection_html, recall_html, decision_html,
             oss_results, incident_table_data
@@ -1109,27 +912,47 @@ async def run_oss_analysis(scenario_name: str):
         )
 
 # ===========================================
-# REAL ENTERPRISE EXECUTION HANDLER - FIXED VERSION
+# ENTERPRISE EXECUTION HANDLER - UPDATED FOR TRUE ARF
 # ===========================================
 def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value):
-    """Execute enterprise healing with real ARF - FIXED VERSION"""
+    """Execute enterprise healing with true ARF simulation"""
     import gradio as gr
     
     scenario = get_components()["INCIDENT_SCENARIOS"].get(scenario_name, {})
     
     # Determine mode
     mode = "Approval" if approval_required else "Autonomous"
+    
+    # OSS can't execute in any mode - only advisory
     if "Advisory" in mcp_mode_value:
         approval_html = """
         <div style='padding: 20px; background: #fef2f2; border-radius: 14px;'>
-            <p>❌ Cannot execute in Advisory mode. Switch to Approval or Autonomous mode.</p>
+            <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 15px;">
+                <h4 style="margin: 0; font-size: 16px; color: #1e293b;">❌ OSS Boundary</h4>
+                <span style="padding: 4px 12px; background: #ef4444; color: white; border-radius: 8px; font-size: 12px; font-weight: bold; text-transform: uppercase;">OSS ONLY</span>
+            </div>
+            <p>ARF OSS v3.3.7 is advisory-only. Cannot execute in Advisory mode.</p>
+            <p style="margin-top: 10px; color: #64748b; font-size: 14px;">Upgrade to Enterprise for:</p>
+            <ul style="margin: 10px 0; padding-left: 20px; color: #475569;">
+                <li>Autonomous execution</li>
+                <li>Novel execution protocols</li>
+                <li>Rollback guarantees</li>
+                <li>Deterministic confidence</li>
+            </ul>
         </div>
         """
         enterprise_results = {
-            "status": "❌ Cannot Execute",
-            "error": "Advisory mode only supports analysis, not execution",
-            "requires_mode_change": True,
-            "suggested_mode": "approval"
+            "status": "❌ OSS Boundary",
+            "error": "ARF OSS v3.3.7 is advisory-only. Upgrade to Enterprise for execution.",
+            "requires_enterprise": True,
+            "enterprise_features_required": [
+                "autonomous_execution",
+                "novel_execution_protocols", 
+                "rollback_guarantees",
+                "deterministic_confidence",
+                "enterprise_mcp_server"
+            ],
+            "contact": "sales@arf.dev"
         }
         execution_table_data = get_audit_manager().get_execution_table()
         return gr.HTML.update(value=approval_html), enterprise_results, execution_table_data
@@ -1142,7 +965,7 @@ def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value)
     # Add to audit trail
     get_audit_manager().add_execution(scenario_name, mode, savings=savings)
     
-    # Get orchestrator for real execution
+    # Get orchestrator for execution simulation
     orchestrator = get_components()["DemoOrchestrator"]()
     
     # Create approval display
@@ -1150,17 +973,21 @@ def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value)
         approval_html = f"""
         <div style="border: 2px solid #e2e8f0; border-radius: 14px; padding: 20px; background: white; margin-top: 20px;">
             <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 15px; padding-bottom: 12px; border-bottom: 2px solid #f1f5f9;">
-                <h4 style="margin: 0; font-size: 16px; color: #1e293b;">👤 Human Approval Required</h4>
-                <span style="padding: 4px 12px; background: #f59e0b; color: white; border-radius: 8px; font-size: 12px; font-weight: bold; text-transform: uppercase;">PENDING</span>
+                <h4 style="margin: 0; font-size: 16px; color: #1e293b;">👤 Enterprise Approval Required</h4>
+                <span style="padding: 4px 12px; background: #f59e0b; color: white; border-radius: 8px; font-size: 12px; font-weight: bold; text-transform: uppercase;">ENTERPRISE</span>
             </div>
             <div style="margin-top: 15px;">
                 <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Scenario:</strong> {scenario_name}</p>
+                <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Mode:</strong> Enterprise Approval</p>
                 <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Action:</strong> Scale Redis cluster from 3 to 5 nodes</p>
                 <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Estimated Savings:</strong> <span style="color: #10b981; font-weight: 700;">${savings:,}</span></p>
                 <div style="display: flex; flex-direction: column; gap: 10px; margin-top: 20px;">
                     <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #3b82f6; font-size: 14px; color: #475569; font-weight: 500;">✅ 1. ARF generated intent (94% confidence)</div>
-                    <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #f59e0b; font-size: 14px; color: #475569; font-weight: 500;">⏳ 2. Awaiting human review...</div>
-                    <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #3b82f6; font-size: 14px; color: #475569; font-weight: 500;">3. ARF will execute upon approval</div>
+                    <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #f59e0b; font-size: 14px; color: #475569; font-weight: 500;">⏳ 2. Awaiting human review (Enterprise feature)</div>
+                    <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #3b82f6; font-size: 14px; color: #475569; font-weight: 500;">3. ARF Enterprise will execute upon approval</div>
+                </div>
+                <div style="margin-top: 15px; padding: 10px; background: #f0fdf4; border-radius: 8px; border-left: 4px solid #10b981;">
+                    <p style="margin: 0; font-size: 13px; color: #475569;"><strong>Enterprise Features Used:</strong> Approval workflows, Audit trail, Compliance checks</p>
                 </div>
             </div>
         </div>
@@ -1171,6 +998,7 @@ def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value)
             "execution_mode": mode,
             "scenario": scenario_name,
             "timestamp": datetime.datetime.now().isoformat(),
+            "enterprise": True,
             "actions_queued": [
                 "Scale resources based on ML recommendations",
                 "Implement circuit breaker pattern", 
@@ -1189,12 +1017,18 @@ def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value)
                 "business_hours": "Compliant",
                 "action_type": "Pending approval",
                 "circuit_breaker": "Will activate"
-            }
+            },
+            "enterprise_features": [
+                "approval_workflows",
+                "audit_trail",
+                "compliance_reporting",
+                "enhanced_safety"
+            ]
         }
     else:
-        # Try to execute with real ARF
+        # Try to execute with true ARF simulation
         try:
-            # This would be async in real implementation
+            # Simulate Enterprise autonomous execution
             execution_result = AsyncRunner.run_async(
                 orchestrator.execute_healing(scenario_name, "autonomous")
             )
@@ -1203,29 +1037,33 @@ def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value)
                 approval_html = f"""
                 <div style="border: 2px solid #e2e8f0; border-radius: 14px; padding: 20px; background: white; margin-top: 20px;">
                     <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 15px; padding-bottom: 12px; border-bottom: 2px solid #f1f5f9;">
-                        <h4 style="margin: 0; font-size: 16px; color: #1e293b;">⚡ Autonomous Execution Complete</h4>
-                        <span style="padding: 4px 12px; background: #10b981; color: white; border-radius: 8px; font-size: 12px; font-weight: bold; text-transform: uppercase;">AUTO-EXECUTED</span>
+                        <h4 style="margin: 0; font-size: 16px; color: #1e293b;">⚡ Enterprise Autonomous Execution</h4>
+                        <span style="padding: 4px 12px; background: #10b981; color: white; border-radius: 8px; font-size: 12px; font-weight: bold; text-transform: uppercase;">ENTERPRISE+</span>
                     </div>
                     <div style="margin-top: 15px;">
                         <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Scenario:</strong> {scenario_name}</p>
-                        <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Mode:</strong> Autonomous</p>
+                        <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Mode:</strong> Enterprise Autonomous</p>
                         <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Action Executed:</strong> Scaled Redis cluster from 3 to 5 nodes</p>
                         <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Recovery Time:</strong> 12 minutes (vs 45 min manual)</p>
                         <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Cost Saved:</strong> <span style="color: #10b981; font-weight: 700;">${savings:,}</span></p>
                         <div style="display: flex; flex-direction: column; gap: 10px; margin-top: 20px;">
                             <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #10b981; font-size: 14px; color: #475569; font-weight: 500;">✅ 1. ARF generated intent</div>
-                            <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #10b981; font-size: 14px; color: #475569; font-weight: 500;">✅ 2. Safety checks passed</div>
-                            <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #10b981; font-size: 14px; color: #475569; font-weight: 500;">✅ 3. Autonomous execution completed</div>
+                            <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #10b981; font-size: 14px; color: #475569; font-weight: 500;">✅ 2. Safety checks passed (Enterprise)</div>
+                            <div style="padding: 12px; background: #f8fafc; border-radius: 10px; border-left: 4px solid #10b981; font-size: 14px; color: #475569; font-weight: 500;">✅ 3. Autonomous execution completed (Enterprise+)</div>
+                        </div>
+                        <div style="margin-top: 15px; padding: 10px; background: #f0fdf4; border-radius: 8px; border-left: 4px solid #10b981;">
+                            <p style="margin: 0; font-size: 13px; color: #475569;"><strong>Enterprise+ Features Used:</strong> Novel execution protocols, Rollback guarantees, Deterministic confidence, Business-aware execution</p>
                         </div>
                     </div>
                 </div>
                 """
                 
                 enterprise_results = {
-                    "status": "✅ Execution Successful",
+                    "status": "✅ Enterprise Execution Successful",
                     "execution_mode": mode,
                     "scenario": scenario_name,
                     "timestamp": datetime.datetime.now().isoformat(),
+                    "enterprise": True,
                     "actions_executed": [
                         "✅ Scaled resources based on ML recommendations",
                         "✅ Implemented circuit breaker pattern",
@@ -1243,30 +1081,39 @@ def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value)
                         "business_hours": "Compliant",
                         "action_type": "Approved",
                         "circuit_breaker": "Active"
-                    }
+                    },
+                    "enterprise_features_used": execution_result.get("enterprise_features_used", [
+                        "deterministic_confidence",
+                        "novel_execution_protocols",
+                        "rollback_guarantees",
+                        "business_aware_execution"
+                    ])
                 }
             else:
                 # Execution failed
                 approval_html = f"""
                 <div style="border: 2px solid #ef4444; border-radius: 14px; padding: 20px; background: #fef2f2; margin-top: 20px;">
                     <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 15px; padding-bottom: 12px; border-bottom: 2px solid #fecaca;">
-                        <h4 style="margin: 0; font-size: 16px; color: #1e293b;">❌ Execution Failed</h4>
+                        <h4 style="margin: 0; font-size: 16px; color: #1e293b;">❌ Enterprise Execution Failed</h4>
                         <span style="padding: 4px 12px; background: #ef4444; color: white; border-radius: 8px; font-size: 12px; font-weight: bold; text-transform: uppercase;">FAILED</span>
                     </div>
                     <div style="margin-top: 15px;">
                         <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Scenario:</strong> {scenario_name}</p>
                         <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Error:</strong> {execution_result.get('message', 'Unknown error')}</p>
+                        <p style="margin-top: 10px; color: #64748b; font-size: 14px;">This is a simulation. Real Enterprise execution requires arf_enterprise package.</p>
                     </div>
                 </div>
                 """
                 
                 enterprise_results = {
-                    "status": "❌ Execution Failed",
+                    "status": "❌ Enterprise Execution Failed",
                     "execution_mode": mode,
                     "scenario": scenario_name,
                     "timestamp": datetime.datetime.now().isoformat(),
                     "error": execution_result.get("message", "Unknown error"),
-                    "suggestion": "Check logs and try again in approval mode"
+                    "simulation": True,
+                    "requires_real_enterprise": True,
+                    "suggestion": "Install arf_enterprise package for real execution"
                 }
                 
         except Exception as e:
@@ -1274,12 +1121,13 @@ def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value)
             approval_html = f"""
             <div style="border: 2px solid #ef4444; border-radius: 14px; padding: 20px; background: #fef2f2; margin-top: 20px;">
                 <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 15px; padding-bottom: 12px; border-bottom: 2px solid #fecaca;">
-                    <h4 style="margin: 0; font-size: 16px; color: #1e293b;">❌ Execution Failed</h4>
+                    <h4 style="margin: 0; font-size: 16px; color: #1e293b;">❌ Execution Error</h4>
                     <span style="padding: 4px 12px; background: #ef4444; color: white; border-radius: 8px; font-size: 12px; font-weight: bold; text-transform: uppercase;">ERROR</span>
                 </div>
                 <div style="margin-top: 15px;">
                     <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Scenario:</strong> {scenario_name}</p>
                     <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Error:</strong> {str(e)}</p>
+                    <p style="margin-top: 10px; color: #64748b; font-size: 14px;">This is a simulation. Real execution requires Enterprise license.</p>
                 </div>
             </div>
             """
@@ -1290,13 +1138,16 @@ def execute_enterprise_healing(scenario_name, approval_required, mcp_mode_value)
                 "scenario": scenario_name,
                 "timestamp": datetime.datetime.now().isoformat(),
                 "error": str(e),
-                "suggestion": "Try running OSS analysis first"
+                "simulation": True,
+                "requires_enterprise": True,
+                "suggestion": "Contact sales@arf.dev for Enterprise trial"
             }
     
     # Update execution table
     execution_table_data = get_audit_manager().get_execution_table()
     
     return gr.HTML.update(value=approval_html), enterprise_results, execution_table_data
+
 # ===========================================
 # CREATE DEMO INTERFACE
 # ===========================================
@@ -1309,12 +1160,12 @@ def create_demo_interface():
     css_styles = get_components()["get_styles"]()
     
     with gr.Blocks(
-        title=f"🚀 ARF Investor Demo v3.8.0 - REAL ARF v3.3.7",
+        title=f"🚀 ARF Investor Demo v3.8.0 - TRUE ARF v3.3.7",
         css=css_styles
     ) as demo:
         
-        # Header - Updated to show real ARF version
-        header_html = get_components()["create_header"]("3.3.7", settings.use_mock_arf)
+        # Header - Updated to show true ARF version
+        header_html = get_components()["create_header"]("3.3.7", settings.use_true_arf)
         
         # Status bar
         status_html = get_components()["create_status_bar"]()
@@ -1364,9 +1215,9 @@ def create_demo_interface():
             outputs=[scenario_card, telemetry_viz, impact_viz, timeline_viz]
         )
         
-        # Run OSS Analysis - Now uses REAL ARF with dynamic metrics
+        # Run OSS Analysis - Now uses TRUE ARF v3.3.7
         oss_btn.click(
-            fn=run_oss_analysis,
+            fn=run_true_arf_analysis,  # Updated function name
             inputs=[scenario_dropdown],
             outputs=[
                 detection_agent, recall_agent, decision_agent,
@@ -1374,7 +1225,7 @@ def create_demo_interface():
             ]
         )
         
-        # Execute Enterprise Healing - Updated for real ARF
+        # Execute Enterprise Healing - Updated for true ARF
         enterprise_btn.click(
             fn=execute_enterprise_healing,
             inputs=[scenario_dropdown, approval_toggle, mcp_mode],
@@ -1384,14 +1235,14 @@ def create_demo_interface():
         # Run Complete Demo
         @AsyncRunner.async_to_sync
         async def run_complete_demo_async(scenario_name):
-            """Run a complete demo walkthrough with real ARF"""
+            """Run a complete demo walkthrough with true ARF"""
             # Step 1: Update scenario
             update_result = update_scenario_display(scenario_name)
             
-            # Step 2: Run OSS analysis with real ARF
-            oss_result = await run_oss_analysis(scenario_name)
+            # Step 2: Run true ARF analysis
+            oss_result = await run_true_arf_analysis(scenario_name)
             
-            # Step 3: Execute Enterprise (using real ARF if available)
+            # Step 3: Execute Enterprise (simulation)
             await asyncio.sleep(1)
             
             scenario = get_components()["INCIDENT_SCENARIOS"].get(scenario_name, {})
@@ -1399,7 +1250,7 @@ def create_demo_interface():
             revenue_loss = impact.get("revenue_loss_per_hour", get_scenario_impact(scenario_name))
             savings = int(revenue_loss * 0.85)
             
-            # Get orchestrator for execution
+            # Get orchestrator for execution simulation
             orchestrator = get_components()["DemoOrchestrator"]()
             execution_result = await orchestrator.execute_healing(scenario_name, "autonomous")
             
@@ -1407,12 +1258,14 @@ def create_demo_interface():
                 "demo_mode": "Complete Walkthrough",
                 "scenario": scenario_name,
                 "arf_version": "3.3.7",
+                "true_oss_used": True,
+                "enterprise_simulated": True,
                 "steps_completed": [
-                    "1. Incident detected (dynamic time) - REAL ARF",
-                    "2. OSS analysis completed - REAL ARF",
-                    "3. HealingIntent created (dynamic confidence) - REAL ARF",
-                    "4. Enterprise license validated",
-                    "5. Autonomous execution simulated",
+                    "1. Incident detected - TRUE ARF OSS",
+                    "2. OSS analysis completed - TRUE ARF OSS",
+                    "3. HealingIntent created - TRUE ARF OSS",
+                    "4. Enterprise license validated (simulation)",
+                    "5. Autonomous execution simulated (Enterprise+)",
                     "6. Outcome recorded in RAG memory"
                 ],
                 "execution_result": execution_result,
@@ -1422,14 +1275,15 @@ def create_demo_interface():
                     "cost_saved": f"${savings:,}",
                     "users_protected": "45,000",
                     "learning": "Pattern added to RAG memory"
-                }
+                },
+                "value_proposition": "This demonstrates the complete ARF v3.3.7 value proposition: OSS for advisory analysis + Enterprise for autonomous execution"
             }
             
             # Create demo completion message
             demo_message = f"""
             <div style="border: 1px solid #e2e8f0; border-radius: 14px; padding: 20px; background: linear-gradient(135deg, #f0fdf4 0%, #dcfce7 100%); margin-top: 20px;">
                 <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 15px; padding-bottom: 12px; border-bottom: 2px solid rgba(0,0,0,0.1);">
-                    <h3 style="margin: 0; font-size: 18px; color: #1e293b;">✅ Demo Complete with REAL ARF v3.3.7</h3>
+                    <h3 style="margin: 0; font-size: 18px; color: #1e293b;">✅ Demo Complete with TRUE ARF v3.3.7</h3>
                     <span style="padding: 4px 12px; background: #10b981; color: white; border-radius: 20px; font-size: 12px; font-weight: bold; text-transform: uppercase;">SUCCESS</span>
                 </div>
                 <div style="margin-top: 15px;">
@@ -1437,7 +1291,14 @@ def create_demo_interface():
                     <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Workflow:</strong> OSS Analysis → Enterprise Execution</p>
                     <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Time Saved:</strong> 33 minutes (73% faster)</p>
                     <p style="margin: 8px 0; font-size: 14px; color: #475569;"><strong>Cost Avoided:</strong> ${savings:,}</p>
-                    <p style="margin: 8px 0; font-size: 14px; color: #64748b; font-style: italic;">This demonstrates the complete ARF v3.3.7 value proposition from detection to autonomous healing with novel execution protocols.</p>
+                    <div style="margin-top: 10px; padding: 10px; background: rgba(255, 255, 255, 0.7); border-radius: 8px;">
+                        <p style="margin: 0; font-size: 13px; color: #64748b; font-style: italic;">
+                            <strong>True ARF v3.3.7 Showcase:</strong><br>
+                            • OSS: agentic-reliability-framework==3.3.7 (advisory)<br>
+                            • Enterprise: arf_enterprise (autonomous execution)<br>
+                            • Clear boundary: OSS advises, Enterprise executes
+                        </p>
+                    </div>
                 </div>
             </div>
             """
@@ -1524,33 +1385,36 @@ def create_demo_interface():
         def validate_license():
             return {
                 "status": "✅ Valid",
-                "tier": "Enterprise",
-                "expires": "2026-12-31",
-                "message": "License validated successfully",
+                "tier": "OSS (Apache 2.0)",
+                "expires": "Never (OSS)",
+                "message": "OSS license validated successfully",
                 "arf_version": "3.3.7",
-                "novel_execution": "Available",
-                "rollback_guarantees": "Enabled"
+                "novel_execution": "Enterprise Only",
+                "rollback_guarantees": "Enterprise Only",
+                "upgrade_cta": "Contact sales@arf.dev for Enterprise trial"
             }
         
         def start_trial():
             return {
-                "status": "🆓 Trial Activated",
+                "status": "🆓 Trial Available",
                 "tier": "Enterprise Trial",
                 "expires": "2026-01-30",
                 "features": ["autonomous_healing", "compliance", "audit_trail", "novel_execution"],
-                "message": "30-day trial started. Full features enabled.",
+                "message": "30-day Enterprise trial available. Contact sales@arf.dev",
                 "arf_version": "3.3.7",
-                "license_key": "ARF-TRIAL-DEMO-2026"
+                "license_key": "ARF-TRIAL-DEMO-2026",
+                "contact": "sales@arf.dev"
             }
         
         def upgrade_license():
             return {
                 "status": "🚀 Upgrade Available",
-                "current_tier": "Enterprise",
+                "current_tier": "OSS",
                 "next_tier": "Enterprise Plus",
-                "features_added": ["predictive_scaling", "custom_workflows", "advanced_novel_execution"],
+                "features_added": ["predictive_scaling", "custom_workflows", "advanced_novel_execution", "rollback_guarantees"],
                 "cost": "$25,000/year",
-                "message": "Contact sales@arf.dev for upgrade"
+                "message": "Contact sales@arf.dev for upgrade to Enterprise",
+                "value_proposition": "OSS advises, Enterprise executes with guarantees"
             }
         
         validate_btn.click(fn=validate_license, outputs=[license_display])
@@ -1563,19 +1427,25 @@ def create_demo_interface():
                     "current_mode": "advisory",
                     "description": "OSS Edition - Analysis only, no execution",
                     "features": ["Incident analysis", "RAG similarity", "HealingIntent creation"],
-                    "arf_version": "3.3.7 OSS"
+                    "arf_version": "3.3.7 OSS",
+                    "package": "agentic-reliability-framework==3.3.7",
+                    "license": "Apache 2.0"
                 },
                 "approval": {
                     "current_mode": "approval",
                     "description": "Enterprise Edition - Human approval required",
                     "features": ["All OSS features", "Approval workflows", "Audit trail", "Compliance", "Enhanced healing policies"],
-                    "arf_version": "3.3.7 Enterprise"
+                    "arf_version": "3.3.7 Enterprise",
+                    "package": "arf_enterprise",
+                    "license": "Commercial"
                 },
                 "autonomous": {
                     "current_mode": "autonomous",
                     "description": "Enterprise Plus - Fully autonomous healing with novel execution",
                     "features": ["All approval features", "Auto-execution", "Predictive healing", "ML optimization", "Novel execution protocols"],
-                    "arf_version": "3.3.7 Enterprise+"
+                    "arf_version": "3.3.7 Enterprise+",
+                    "package": "arf_enterprise[plus]",
+                    "license": "Commercial Plus"
                 }
             }
             return mode_info.get(mode, mode_info["advisory"])
@@ -1617,7 +1487,8 @@ def create_demo_interface():
                         "total_incidents": len(audit_manager.incidents),
                         "total_savings": f"${total_savings:,}",
                         "success_rate": "100%",
-                        "arf_version": "3.3.7"
+                        "arf_version": "3.3.7",
+                        "edition": "OSS + Enterprise Simulation"
                     }
                 }
                 return json.dumps(audit_data, indent=2)
@@ -1667,12 +1538,16 @@ def create_demo_interface():
 # ===========================================
 def main():
     """Main entry point - Hugging Face Spaces compatible"""
-    print("🚀 Starting ARF Ultimate Investor Demo v3.8.0 with REAL ARF v3.3.7...")
+    print("🚀 Starting ARF Ultimate Investor Demo v3.8.0 with TRUE ARF v3.3.7...")
     print("=" * 70)
     print(f"📊 Mode: {settings.arf_mode.upper()}")
-    print(f"🤖 Using REAL ARF: {not settings.use_mock_arf}")
+    print(f"🤖 Using TRUE ARF: {settings.use_true_arf}")
     print(f"🎯 Default Scenario: {settings.default_scenario}")
-    print(f"🏢 ARF Version: 3.3.7 with Dynamic Scenario Metrics")
+    print(f"🏢 ARF Version: 3.3.7 with True OSS + Enterprise Simulation")
+    print("=" * 70)
+    print("📦 Packages:")
+    print("  • OSS: agentic-reliability-framework==3.3.7")
+    print("  • Enterprise: arf_enterprise (simulated)")
     print("=" * 70)
     
     import gradio as gr