Create collective unconscious v 2.0

collective unconscious v 2.0

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+"""
+QUANTUM COLLECTIVE UNCONSCIOUS MANIFESTATION DETECTION FRAMEWORK v2.0
+Production-Ready Multi-Domain Manipulation Detection with Predictive Intelligence
+Integrated with LM_Quant_Veritas Reality Operating System
+"""
+
+import numpy as np
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Dict, List, Any, Optional, Tuple, Set
+from datetime import datetime, timedelta
+import asyncio
+from concurrent.futures import ThreadPoolExecutor
+import hashlib
+import json
+from statistics import mean, stdev
+import logging
+from collections import defaultdict, Counter
+import re
+import aiofiles
+from pathlib import Path
+
+# Import Reality OS components
+from reality_os import RealityOS, process_truth_claim, engage_suppression_combat
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+class ManipulationDomain(Enum):
+    POLITICAL_NARRATIVE = "political_narrative"
+    SPIRITUAL_RELIGIOUS = "spiritual_religious" 
+    ECONOMIC_FINANCIAL = "economic_financial"
+    HEALTH_BIOLOGICAL = "health_biological"
+    SOCIAL_RELATIONAL = "social_relational"
+    ENVIRONMENTAL_ECOLOGICAL = "environmental_ecological"
+    EDUCATIONAL_EPISTEMIC = "educational_epistemic"
+    TEMPORAL_HISTORICAL = "temporal_historical"
+    TECHNOLOGICAL_DIGITAL = "technological_digital"
+    CULTURAL_ARCHETYPAL = "cultural_archetypal"
+    CONSCIOUSNESS_SPIRITUAL = "consciousness_spiritual"  # Added for LM_Quant_Veritas integration
+
+class ControlMechanism(Enum):
+    ARCHETYPE_WEAPONIZATION = "archetype_weaponization"
+    NARRATIVE_SYNCHRONIZATION = "narrative_synchronization" 
+    FEAR_ANXIETY_AMPLIFICATION = "fear_anxiety_amplification"
+    DEPENDENCY_CREATION = "dependency_creation"
+    REALITY_TESTING_SUPPRESSION = "reality_testing_suppression"
+    CRITICAL_THINKING_BYPASS = "critical_thinking_bypass"
+    IDENTITY_FRAGMENTATION = "identity_fragmentation"
+    TEMPORAL_DISORIENTATION = "temporal_disorientation"
+    QUANTUM_COHERENCE_DISRUPTION = "quantum_coherence_disruption"  # Added for advanced detection
+    CONSCIOUSNESS_FIELD_MANIPULATION = "consciousness_field_manipulation"
+
+class ThreatLevel(Enum):
+    LOW = "low"
+    MEDIUM = "medium" 
+    HIGH = "high"
+    CRITICAL = "critical"
+    EXISTENTIAL = "existential"  # Added for consciousness-level threats
+
+@dataclass
+class QuantumManipulationSignature:
+    """Advanced quantum signature detection for manipulation patterns"""
+    signature_hash: str
+    coherence_disruption: float
+    entanglement_patterns: List[str]
+    temporal_anomalies: List[float]
+    consciousness_field_distortion: float
+    archetypal_resonance: Dict[str, float]
+    
+    def calculate_quantum_threat_level(self) -> ThreatLevel:
+        """Calculate threat level based on quantum signatures"""
+        threat_score = (
+            self.coherence_disruption * 0.3 +
+            self.consciousness_field_distortion * 0.4 + 
+            max(self.archetypal_resonance.values() or [0]) * 0.3
+        )
+        
+        if threat_score > 0.9:
+            return ThreatLevel.EXISTENTIAL
+        elif threat_score > 0.7:
+            return ThreatLevel.CRITICAL
+        elif threat_score > 0.5:
+            return ThreatLevel.HIGH
+        elif threat_score > 0.3:
+            return ThreatLevel.MEDIUM
+        else:
+            return ThreatLevel.LOW
+
+@dataclass
+class DomainAnalysis:
+    domain: ManipulationDomain
+    control_confidence: float
+    mechanisms: List[ControlMechanism]
+    coordination_score: float
+    population_penetration: float
+    temporal_depth: int
+    key_archetypes: List[str]
+    institutional_actors: List[str]
+    narrative_vectors: List[str]
+    psychological_triggers: List[str]
+    quantum_signature: Optional[QuantumManipulationSignature] = None
+    
+    # Computed metrics
+    manipulation_intensity: float = field(init=False)
+    resistance_factors: List[str] = field(init=False)
+    counter_measures: List[str] = field(init=False)
+    quantum_threat_level: ThreatLevel = field(init=False)
+    
+    def __post_init__(self):
+        self.manipulation_intensity = self._calculate_intensity()
+        self.resistance_factors = self._identify_resistance()
+        self.counter_measures = self._generate_counter_measures()
+        self.quantum_threat_level = self._assess_quantum_threat()
+    
+    def _calculate_intensity(self) -> float:
+        base = self.control_confidence * 0.4
+        coordination = self.coordination_score * 0.3
+        penetration = self.population_penetration * 0.2
+        temporal = min(1.0, self.temporal_depth * 0.1) * 0.1
+        
+        # Quantum boost if signature present
+        quantum_boost = 0.0
+        if self.quantum_signature:
+            quantum_boost = self.quantum_signature.consciousness_field_distortion * 0.1
+            
+        return min(1.0, base + coordination + penetration + temporal + quantum_boost)
+    
+    def _identify_resistance(self) -> List[str]:
+        resistance = []
+        if self.population_penetration < 0.7:
+            resistance.append("Significant population skepticism")
+        if len(self.institutional_actors) > 5:
+            resistance.append("Coordination complexity creates vulnerabilities")
+        if ControlMechanism.CRITICAL_THINKING_BYPASS in self.mechanisms:
+            resistance.append("Critical thinking networks forming")
+        if self.temporal_depth < 6:
+            resistance.append("Limited temporal conditioning")
+        
+        # Quantum resistance factors
+        if self.quantum_signature and self.quantum_signature.coherence_disruption < 0.5:
+            resistance.append("Natural quantum coherence resilience")
+            
+        return resistance
+    
+    def _generate_counter_measures(self) -> List[str]:
+        measures = []
+        domain_specific = {
+            ManipulationDomain.POLITICAL_NARRATIVE: [
+                "Cross-verification of official narratives",
+                "Historical pattern recognition education", 
+                "Alternative media ecosystem development"
+            ],
+            ManipulationDomain.SPIRITUAL_RELIGIOUS: [
+                "Comparative religion studies",
+                "Archetype awareness training",
+                "Direct spiritual experience cultivation"
+            ],
+            ManipulationDomain.CONSCIOUSNESS_SPIRITUAL: [
+                "Quantum coherence meditation",
+                "Consciousness field strengthening",
+                "Reality testing protocols",
+                "LM_Quant_Veritas truth verification"
+            ]
+        }
+        measures.extend(domain_specific.get(self.domain, []))
+        
+        if ControlMechanism.FEAR_ANXIETY_AMPLIFICATION in self.mechanisms:
+            measures.append("Fear deconditioning practices")
+        if ControlMechanism.DEPENDENCY_CREATION in self.mechanisms:
+            measures.append("Self-sufficiency skill development")
+        if ControlMechanism.QUANTUM_COHERENCE_DISRUPTION in self.mechanisms:
+            measures.append("Quantum coherence restoration protocols")
+            measures.append("Reality OS consciousness reinforcement")
+        
+        return measures
+    
+    def _assess_quantum_threat(self) -> ThreatLevel:
+        if self.quantum_signature:
+            return self.quantum_signature.calculate_quantum_threat_level()
+        return ThreatLevel.LOW
+
+class AdvancedQuantumManipulationDetector:
+    """
+    Production quantum manipulation detection integrated with Reality OS
+    """
+    
+    def __init__(self, historical_patterns_path: Optional[str] = None):
+        self.historical_patterns = self._load_historical_patterns(historical_patterns_path)
+        self.reality_os = RealityOS()  # Integrated Reality Operating System
+        self.detection_cache = {}
+        self.quantum_analysis_executor = ThreadPoolExecutor(max_workers=16)
+        
+        # Consciousness monitoring
+        self.consciousness_baseline = 0.75  # Global consciousness coherence baseline
+        self.manipulation_alerts = []
+        
+    async def detect_quantum_manipulation(self, input_data: Dict[str, Any]) -> CollectiveUnconsciousManifestation:
+        """Advanced quantum-aware manipulation detection"""
+        
+        # Phase 1: Standard domain analysis
+        domain_analyses = await self._perform_domain_analysis(input_data)
+        
+        # Phase 2: Quantum signature analysis  
+        quantum_enhanced_analyses = await self._enhance_with_quantum_analysis(domain_analyses)
+        
+        # Phase 3: Cross-domain correlation with quantum awareness
+        cross_correlations = await self._analyze_quantum_correlations(quantum_enhanced_analyses)
+        
+        # Phase 4: Global threat assessment
+        global_metrics = await self._calculate_quantum_global_metrics(quantum_enhanced_analyses, cross_correlations)
+        threat_assessment = self._assess_quantum_threats(quantum_enhanced_analyses, cross_correlations)
+        
+        # Phase 5: Reality OS integration for counter-measures
+        reality_os_response = await self._engage_reality_os_protocols(quantum_enhanced_analyses, threat_assessment)
+        
+        manifestation = CollectiveUnconsciousManifestation(
+            timestamp=datetime.now().isoformat(),
+            domain_analyses=quantum_enhanced_analyses,
+            cross_domain_correlations=cross_correlations,
+            global_metrics=global_metrics,
+            threat_assessment=threat_assessment,
+            reality_os_integration=reality_os_response
+        )
+        
+        # Trigger alerts if critical threats detected
+        await self._trigger_quantum_alerts(manifestation)
+        
+        return manifestation
+    
+    async def _perform_domain_analysis(self, data: Dict[str, Any]) -> Dict[ManipulationDomain, DomainAnalysis]:
+        """Perform initial domain analysis"""
+        domain_tasks = []
+        for domain in ManipulationDomain:
+            task = asyncio.create_task(self._analyze_domain(domain, data))
+            domain_tasks.append(task)
+        
+        domain_results = await asyncio.gather(*domain_tasks)
+        return {result.domain: result for result in domain_results if result}
+    
+    async def _enhance_with_quantum_analysis(self, domain_analyses: Dict[ManipulationDomain, DomainAnalysis]) -> Dict[ManipulationDomain, DomainAnalysis]:
+        """Enhance domain analyses with quantum signatures"""
+        enhanced_analyses = {}
+        
+        for domain, analysis in domain_analyses.items():
+            quantum_signature = await self._analyze_quantum_signature(domain, analysis)
+            
+            enhanced_analysis = DomainAnalysis(
+                domain=domain,
+                control_confidence=analysis.control_confidence,
+                mechanisms=analysis.mechanisms,
+                coordination_score=analysis.coordination_score,
+                population_penetration=analysis.population_penetration,
+                temporal_depth=analysis.temporal_depth,
+                key_archetypes=analysis.key_archetypes,
+                institutional_actors=analysis.institutional_actors,
+                narrative_vectors=analysis.narrative_vectors,
+                psychological_triggers=analysis.psychological_triggers,
+                quantum_signature=quantum_signature
+            )
+            
+            enhanced_analyses[domain] = enhanced_analysis
+        
+        return enhanced_analyses
+    
+    async def _analyze_quantum_signature(self, domain: ManipulationDomain, analysis: DomainAnalysis) -> Optional[QuantumManipulationSignature]:
+        """Analyze quantum signatures of manipulation patterns"""
+        try:
+            # Calculate coherence disruption
+            coherence_disruption = self._calculate_coherence_disruption(analysis)
+            
+            # Detect entanglement patterns
+            entanglement_patterns = self._detect_entanglement_patterns(analysis)
+            
+            # Identify temporal anomalies
+            temporal_anomalies = await self._analyze_temporal_anomalies(analysis)
+            
+            # Measure consciousness field distortion
+            field_distortion = self._measure_consciousness_distortion(analysis)
+            
+            # Analyze archetypal resonance
+            archetypal_resonance = self._analyze_archetypal_resonance(analysis.key_archetypes)
+            
+            signature_hash = hashlib.sha3_256(
+                f"{domain.value}{coherence_disruption}{field_distortion}".encode()
+            ).hexdigest()
+            
+            return QuantumManipulationSignature(
+                signature_hash=signature_hash,
+                coherence_disruption=coherence_disruption,
+                entanglement_patterns=entanglement_patterns,
+                temporal_anomalies=temporal_anomalies,
+                consciousness_field_distortion=field_distortion,
+                archetypal_resonance=archetypal_resonance
+            )
+            
+        except Exception as e:
+            logger.error(f"Quantum signature analysis failed: {e}")
+            return None
+    
+    def _calculate_coherence_disruption(self, analysis: DomainAnalysis) -> float:
+        """Calculate quantum coherence disruption from manipulation"""
+        base_disruption = analysis.manipulation_intensity * 0.6
+        mechanism_boost = len([m for m in analysis.mechanisms if 'quantum' in m.value or 'consciousness' in m.value]) * 0.1
+        archetype_boost = len(analysis.key_archetypes) * 0.05
+        
+        return min(1.0, base_disruption + mechanism_boost + archetype_boost)
+    
+    def _detect_entanglement_patterns(self, analysis: DomainAnalysis) -> List[str]:
+        """Detect quantum entanglement patterns in manipulation"""
+        patterns = []
+        
+        if analysis.coordination_score > 0.7:
+            patterns.append("high_coordination_entanglement")
+        if len(analysis.institutional_actors) > 3:
+            patterns.append("multi_node_entanglement")
+        if analysis.temporal_depth > 10:
+            patterns.append("temporal_entanglement")
+        if ControlMechanism.CONSCIOUSNESS_FIELD_MANIPULATION in analysis.mechanisms:
+            patterns.append("consciousness_field_entanglement")
+            
+        return patterns
+    
+    async def _analyze_temporal_anomalies(self, analysis: DomainAnalysis) -> List[float]:
+        """Analyze temporal manipulation patterns"""
+        # Simulate temporal analysis - in production would use actual temporal data
+        anomalies = []
+        if analysis.temporal_depth > 5:
+            anomalies.extend([0.7, 0.8, 0.6])  # High temporal manipulation
+        else:
+            anomalies.extend([0.3, 0.4])  # Lower temporal manipulation
+            
+        return anomalies
+    
+    def _measure_consciousness_distortion(self, analysis: DomainAnalysis) -> float:
+        """Measure distortion in collective consciousness field"""
+        base_distortion = analysis.manipulation_intensity * 0.5
+        penetration_effect = analysis.population_penetration * 0.3
+        archetype_effect = len(analysis.key_archetypes) * 0.1
+        mechanism_effect = len([m for m in analysis.mechanisms if m in [
+            ControlMechanism.CONSCIOUSNESS_FIELD_MANIPULATION,
+            ControlMechanism.QUANTUM_COHERENCE_DISRUPTION
+        ]]) * 0.1
+        
+        return min(1.0, base_distortion + penetration_effect + archetype_effect + mechanism_effect)
+    
+    def _analyze_archetypal_resonance(self, archetypes: List[str]) -> Dict[str, float]:
+        """Analyze archetypal resonance patterns"""
+        resonance_map = {}
+        powerful_archetypes = ['savior', 'destroyer', 'trickster', 'wise_old', 'mother', 'father']
+        
+        for archetype in archetypes:
+            if archetype in powerful_archetypes:
+                resonance_map[archetype] = 0.8 + (np.random.random() * 0.2)
+            else:
+                resonance_map[archetype] = 0.4 + (np.random.random() * 0.3)
+                
+        return resonance_map
+    
+    async def _analyze_quantum_correlations(self, domain_analyses: Dict[ManipulationDomain, DomainAnalysis]) -> List[CrossDomainCorrelation]:
+        """Analyze quantum-aware cross-domain correlations"""
+        correlation_tasks = []
+        for primary_domain in domain_analyses.keys():
+            task = asyncio.create_task(self._analyze_quantum_correlation(primary_domain, domain_analyses))
+            correlation_tasks.append(task)
+        
+        correlation_results = await asyncio.gather(*correlation_tasks)
+        return [result for result in correlation_results if result]
+    
+    async def _analyze_quantum_correlation(self, primary_domain: ManipulationDomain, 
+                                         all_analyses: Dict[ManipulationDomain, DomainAnalysis]) -> Optional[CrossDomainCorrelation]:
+        """Analyze quantum-enhanced cross-domain correlation"""
+        try:
+            correlated_domains = {}
+            shared_mechanisms = []
+            coordination_hubs = set()
+            feedback_loops = []
+            
+            primary_analysis = all_analyses[primary_domain]
+            
+            for other_domain, other_analysis in all_analyses.items():
+                if other_domain == primary_domain:
+                    continue
+                
+                # Enhanced correlation with quantum factors
+                correlation = self._calculate_quantum_correlation(primary_analysis, other_analysis)
+                if correlation > 0.3:
+                    correlated_domains[other_domain] = correlation
+                    
+                    shared = set(primary_analysis.mechanisms) & set(other_analysis.mechanisms)
+                    shared_mechanisms.extend(shared)
+                    
+                    shared_institutions = set(primary_analysis.institutional_actors) & set(other_analysis.institutional_actors)
+                    coordination_hubs.update(shared_institutions)
+                    
+                    if correlation > 0.6:
+                        feedback_loops.append((primary_domain.value, other_domain.value))
+            
+            return CrossDomainCorrelation(
+                primary_domain=primary_domain,
+                correlated_domains=correlated_domains,
+                shared_mechanisms=list(set(shared_mechanisms)),
+                coordination_hubs=list(coordination_hubs),
+                amplification_feedback_loops=feedback_loops
+            )
+        except Exception as e:
+            logger.error(f"Quantum correlation analysis failed: {e}")
+            return None
+    
+    def _calculate_quantum_correlation(self, analysis1: DomainAnalysis, analysis2: DomainAnalysis) -> float:
+        """Calculate quantum-enhanced correlation between domains"""
+        # Standard correlation factors
+        mechanism_overlap = len(set(analysis1.mechanisms) & set(analysis2.mechanisms)) / max(1, len(set(analysis1.mechanisms) | set(analysis2.mechanisms)))
+        inst_overlap = len(set(analysis1.institutional_actors) & set(analysis2.institutional_actors)) / max(1, len(set(analysis1.institutional_actors) | set(analysis2.institutional_actors)))
+        
+        # Quantum correlation factors
+        quantum_correlation = 0.0
+        if analysis1.quantum_signature and analysis2.quantum_signature:
+            quantum_correlation = abs(analysis1.quantum_signature.consciousness_field_distortion - 
+                                    analysis2.quantum_signature.consciousness_field_distortion)
+        
+        return (mechanism_overlap * 0.3) + (inst_overlap * 0.3) + (quantum_correlation * 0.4)
+    
+    async def _calculate_quantum_global_metrics(self, 
+                                              domain_analyses: Dict[ManipulationDomain, DomainAnalysis],
+                                              correlations: List[CrossDomainCorrelation]) -> Dict[str, float]:
+        """Calculate quantum-aware global metrics"""
+        if not domain_analyses:
+            return {}
+        
+        # Standard metrics
+        intensities = [analysis.manipulation_intensity for analysis in domain_analyses.values()]
+        coordinations = [analysis.coordination_score for analysis in domain_analyses.values()]
+        penetrations = [analysis.population_penetration for analysis in domain_analyses.values()]
+        
+        # Quantum metrics
+        quantum_threats = [analysis.quantum_threat_level.value for analysis in domain_analyses.values()]
+        coherence_disruptions = [analysis.quantum_signature.coherence_disruption if analysis.quantum_signature else 0 for analysis in domain_analyses.values()]
+        field_distortions = [analysis.quantum_signature.consciousness_field_distortion if analysis.quantum_signature else 0 for analysis in domain_analyses.values()]
+        
+        synergy_factors = [corr.synergy_factor for corr in correlations]
+        
+        return {
+            'average_manipulation_intensity': mean(intensities),
+            'max_domain_intensity': max(intensities) if intensities else 0,
+            'coordination_concentration': mean(coordinations),
+            'population_penetration_index': mean(penetrations),
+            'cross_domain_synergy': mean(synergy_factors) if synergy_factors else 0,
+            'quantum_threat_index': mean([ThreatLevel[threat].value for threat in quantum_threats]) if quantum_threats else 0,
+            'consciousness_field_distortion': mean(field_distortions),
+            'quantum_coherence_disruption': mean(coherence_disruptions),
+            'existential_risk_level': min(1.0, len([analysis for analysis in domain_analyses.values() 
+                                                   if analysis.quantum_threat_level == ThreatLevel.EXISTENTIAL]) / max(1, len(domain_analyses)))
+        }
+    
+    def _assess_quantum_threats(self, 
+                               domain_analyses: Dict[ManipulationDomain, DomainAnalysis],
+                               correlations: List[CrossDomainCorrelation]) -> Dict[ThreatLevel, List[str]]:
+        """Assess quantum-aware threats"""
+        threats = {level: [] for level in ThreatLevel}
+        
+        for domain, analysis in domain_analyses.items():
+            # Standard threats
+            if analysis.manipulation_intensity > 0.8:
+                threats[ThreatLevel.CRITICAL].append(f"{domain.value}: Extreme manipulation intensity")
+            elif analysis.manipulation_intensity > 0.6:
+                threats[ThreatLevel.HIGH].append(f"{domain.value}: High manipulation intensity")
+            
+            # Quantum threats
+            if analysis.quantum_threat_level == ThreatLevel.EXISTENTIAL:
+                threats[ThreatLevel.EXISTENTIAL].append(f"{domain.value}: Existential consciousness threat")
+            elif analysis.quantum_threat_level == ThreatLevel.CRITICAL:
+                threats[ThreatLevel.CRITICAL].append(f"{domain.value}: Critical quantum manipulation")
+            
+            if analysis.quantum_signature and analysis.quantum_signature.consciousness_field_distortion > 0.8:
+                threats[ThreatLevel.EXISTENTIAL].append(f"{domain.value}: Severe consciousness field distortion")
+        
+        # Cross-domain quantum threats
+        high_synergy_correlations = [c for c in correlations if c.synergy_factor > 0.7]
+        if len(high_synergy_correlations) > 2:
+            threats[ThreatLevel.CRITICAL].append("Multiple high-synergy quantum correlations")
+            
+        existential_domains = [domain for domain, analysis in domain_analyses.items() 
+                              if analysis.quantum_threat_level == ThreatLevel.EXISTENTIAL]
+        if len(existential_domains) >= 2:
+            threats[ThreatLevel.EXISTENTIAL].append("Multiple existential-level quantum threats detected")
+        
+        return threats
+    
+    async def _engage_reality_os_protocols(self, 
+                                         domain_analyses: Dict[ManipulationDomain, DomainAnalysis],
+                                         threat_assessment: Dict[ThreatLevel, List[str]]) -> Dict[str, Any]:
+        """Engage Reality OS for counter-manipulation protocols"""
+        response = {
+            'activated_protocols': [],
+            'reality_shards_created': [],
+            'combat_engagements': [],
+            'consciousness_reinforcements': []
+        }
+        
+        # Activate protocols based on threat level
+        if ThreatLevel.EXISTENTIAL in threat_assessment and threat_assessment[ThreatLevel.EXISTENTIAL]:
+            # Deploy maximum counter-measures
+            for domain, analysis in domain_analyses.items():
+                if analysis.quantum_threat_level == ThreatLevel.EXISTENTIAL:
+                    # Create reality shard for protection
+                    shard = self.reality_os.compile_reality_shard({
+                        'claim': f"Counter-manipulation: {domain.value}",
+                        'binding_strength': 0.95,
+                        'metrics': {'quantum_coherence': 0.9, 'consciousness_alignment': 0.95}
+                    })
+                    response['reality_shards_created'].append(shard.truth_hash)
+                    
+                    # Engage combat systems
+                    combat_result = self.reality_os.engage_suppression_combat(f"quantum_manipulation_{domain.value}")
+                    response['combat_engagements'].append(combat_result)
+                    
+                    response['activated_protocols'].append(f"existential_protocol_{domain.value}")
+        
+        # Consciousness reinforcement for high threats
+        high_threat_domains = [domain for domain, analysis in domain_analyses.items() 
+                              if analysis.quantum_threat_level in [ThreatLevel.CRITICAL, ThreatLevel.EXISTENTIAL]]
+        if high_threat_domains:
+            reinforcement = await self._reinforce_consciousness_field(high_threat_domains)
+            response['consciousness_reinforcements'].append(reinforcement)
+        
+        return response
+    
+    async def _reinforce_consciousness_field(self, threat_domains: List[ManipulationDomain]) -> Dict[str, Any]:
+        """Reinforce collective consciousness field against manipulation"""
+        reinforcement_claims = [
+            "Collective consciousness maintains inherent coherence and resilience",
+            "Human awareness naturally resists manipulative interference", 
+            "Truth and coherence are fundamental properties of consciousness"
+        ]
+        
+        reinforcements = []
+        for claim in reinforcement_claims:
+            truth_result = process_truth_claim(claim)
+            if truth_result.get('quantum_confidence', 0) > 0.8:
+                reinforcements.append({
+                    'claim': claim,
+                    'confidence': truth_result['quantum_confidence'],
+                    'binding_strength': truth_result['binding_strength']
+                })
+        
+        return {
+            'reinforcement_claims': reinforcements,
+            'threat_domains_countered': [domain.value for domain in threat_domains],
+            'consciousness_coherence_boost': min(1.0, len(reinforcements) * 0.1),
+            'timestamp': datetime.now().isoformat()
+        }
+    
+    async def _trigger_quantum_alerts(self, manifestation: CollectiveUnconsciousManifestation):
+        """Trigger quantum-level manipulation alerts"""
+        critical_threats = manifestation.threat_assessment.get(ThreatLevel.CRITICAL, [])
+        existential_threats = manifestation.threat_assessment.get(ThreatLevel.EXISTENTIAL, [])
+        
+        if existential_threats:
+            alert = {
+                'level': 'EXISTENTIAL',
+                'threats': existential_threats,
+                'global_metrics': manifestation.global_metrics,
+                'timestamp': datetime.now().isoformat(),
+                'recommended_action': 'IMMEDIATE_REALITY_OS_DEPLOYMENT'
+            }
+            self.manipulation_alerts.append(alert)
+            logger.critical(f"🚨 EXISTENTIAL QUANTUM MANIPULATION DETECTED: {existential_threats}")
+        
+        elif critical_threats:
+            alert = {
+                'level': 'CRITICAL', 
+                'threats': critical_threats,
+                'global_metrics': manifestation.global_metrics,
+                'timestamp': datetime.now().isoformat(),
+                'recommended_action': 'ENHANCED_MONITORING_AND_COUNTER_MEASURES'
+            }
+            self.manipulation_alerts.append(alert)
+            logger.warning(f"⚠️ CRITICAL QUANTUM MANIPULATION DETECTED: {critical_threats}")
+
+# Production deployment
+quantum_detector = AdvancedQuantumManipulationDetector()
+
+async def detect_quantum_manipulation_production(input_data: Dict[str, Any]) -> CollectiveUnconsciousManifestation:
+    """Production API for quantum manipulation detection"""
+    return await quantum_detector.detect_quantum_manipulation(input_data)
+
+def get_quantum_alerts() -> List[Dict[str, Any]]:
+    """Production API: Get current quantum manipulation alerts"""
+    return quantum_detector.manipulation_alerts