Agent Quorum Manager

class QuorumManager {  constructor(nodeId, consensusProtocol) {    this.nodeId = nodeId;    this.protocol = consensusProtocol;    this.currentQuorum = new Map(); // nodeId -> QuorumNode    this.quorumHistory = [];    this.networkMonitor = new NetworkConditionMonitor();    this.membershipTracker = new MembershipTracker();    this.faultToleranceCalculator = new FaultToleranceCalculator();    this.adjustmentStrategies = new Map();        this.initializeStrategies();  }
  // Initialize quorum adjustment strategies  initializeStrategies() {    this.adjustmentStrategies.set('NETWORK_BASED', new NetworkBasedStrategy());    this.adjustmentStrategies.set('PERFORMANCE_BASED', new PerformanceBasedStrategy());    this.adjustmentStrategies.set('FAULT_TOLERANCE_BASED', new FaultToleranceStrategy());    this.adjustmentStrategies.set('HYBRID', new HybridStrategy());  }
  // Calculate optimal quorum size based on current conditions  async calculateOptimalQuorum(context = {}) {    const networkConditions = await this.networkMonitor.getCurrentConditions();    const membershipStatus = await this.membershipTracker.getMembershipStatus();    const performanceMetrics = context.performanceMetrics || await this.getPerformanceMetrics();        const analysisInput = {      networkConditions: networkConditions,      membershipStatus: membershipStatus,      performanceMetrics: performanceMetrics,      currentQuorum: this.currentQuorum,      protocol: this.protocol,      faultToleranceRequirements: context.faultToleranceRequirements || this.getDefaultFaultTolerance()    };        // Apply multiple strategies and select optimal result    const strategyResults = new Map();        for (const [strategyName, strategy] of this.adjustmentStrategies) {      try {        const result = await strategy.calculateQuorum(analysisInput);        strategyResults.set(strategyName, result);      } catch (error) {        console.warn(`Strategy ${strategyName} failed:`, error);      }    }        // Select best strategy result    const optimalResult = this.selectOptimalStrategy(strategyResults, analysisInput);        return {      recommendedQuorum: optimalResult.quorum,      strategy: optimalResult.strategy,      confidence: optimalResult.confidence,      reasoning: optimalResult.reasoning,      expectedImpact: optimalResult.expectedImpact    };  }
  // Apply quorum changes with validation and rollback capability  async adjustQuorum(newQuorumConfig, options = {}) {    const adjustmentId = `adjustment_${Date.now()}`;        try {      // Validate new quorum configuration      await this.validateQuorumConfiguration(newQuorumConfig);            // Create adjustment plan      const adjustmentPlan = await this.createAdjustmentPlan(        this.currentQuorum, newQuorumConfig      );            // Execute adjustment with monitoring      const adjustmentResult = await this.executeQuorumAdjustment(        adjustmentPlan, adjustmentId, options      );            // Verify adjustment success      await this.verifyQuorumAdjustment(adjustmentResult);            // Update current quorum      this.currentQuorum = newQuorumConfig.quorum;            // Record successful adjustment      this.recordQuorumChange(adjustmentId, adjustmentResult);            return {        success: true,        adjustmentId: adjustmentId,        previousQuorum: adjustmentPlan.previousQuorum,        newQuorum: this.currentQuorum,        impact: adjustmentResult.impact      };          } catch (error) {      console.error(`Quorum adjustment failed:`, error);            // Attempt rollback      await this.rollbackQuorumAdjustment(adjustmentId);            throw error;    }  }
  async executeQuorumAdjustment(adjustmentPlan, adjustmentId, options) {    const startTime = Date.now();        // Phase 1: Prepare nodes for quorum change    await this.prepareNodesForAdjustment(adjustmentPlan.affectedNodes);        // Phase 2: Execute membership changes    const membershipChanges = await this.executeMembershipChanges(      adjustmentPlan.membershipChanges    );        // Phase 3: Update voting weights if needed    if (adjustmentPlan.weightChanges.length > 0) {      await this.updateVotingWeights(adjustmentPlan.weightChanges);    }        // Phase 4: Reconfigure consensus protocol    await this.reconfigureConsensusProtocol(adjustmentPlan.protocolChanges);        // Phase 5: Verify new quorum is operational    const verificationResult = await this.verifyQuorumOperational(adjustmentPlan.newQuorum);        const endTime = Date.now();        return {      adjustmentId: adjustmentId,      duration: endTime - startTime,      membershipChanges: membershipChanges,      verificationResult: verificationResult,      impact: await this.measureAdjustmentImpact(startTime, endTime)    };  }}

class NetworkBasedStrategy {  constructor() {    this.networkAnalyzer = new NetworkAnalyzer();    this.connectivityMatrix = new ConnectivityMatrix();    this.partitionPredictor = new PartitionPredictor();  }
  async calculateQuorum(analysisInput) {    const { networkConditions, membershipStatus, currentQuorum } = analysisInput;        // Analyze network topology and connectivity    const topologyAnalysis = await this.analyzeNetworkTopology(membershipStatus.activeNodes);        // Predict potential network partitions    const partitionRisk = await this.assessPartitionRisk(networkConditions, topologyAnalysis);        // Calculate minimum quorum for fault tolerance    const minQuorum = this.calculateMinimumQuorum(      membershipStatus.activeNodes.length,      partitionRisk.maxPartitionSize    );        // Optimize for network conditions    const optimizedQuorum = await this.optimizeForNetworkConditions(      minQuorum,      networkConditions,      topologyAnalysis    );        return {      quorum: optimizedQuorum,      strategy: 'NETWORK_BASED',      confidence: this.calculateConfidence(networkConditions, topologyAnalysis),      reasoning: this.generateReasoning(optimizedQuorum, partitionRisk, networkConditions),      expectedImpact: {        availability: this.estimateAvailabilityImpact(optimizedQuorum),        performance: this.estimatePerformanceImpact(optimizedQuorum, networkConditions)      }    };  }
  async analyzeNetworkTopology(activeNodes) {    const topology = {      nodes: activeNodes.length,      edges: 0,      clusters: [],      diameter: 0,      connectivity: new Map()    };        // Build connectivity matrix    for (const node of activeNodes) {      const connections = await this.getNodeConnections(node);      topology.connectivity.set(node.id, connections);      topology.edges += connections.length;    }        // Identify network clusters    topology.clusters = await this.identifyNetworkClusters(topology.connectivity);        // Calculate network diameter    topology.diameter = await this.calculateNetworkDiameter(topology.connectivity);        return topology;  }
  async assessPartitionRisk(networkConditions, topologyAnalysis) {    const riskFactors = {      connectivityReliability: this.assessConnectivityReliability(networkConditions),      geographicDistribution: this.assessGeographicRisk(topologyAnalysis),      networkLatency: this.assessLatencyRisk(networkConditions),      historicalPartitions: await this.getHistoricalPartitionData()    };        // Calculate overall partition risk    const overallRisk = this.calculateOverallPartitionRisk(riskFactors);        // Estimate maximum partition size    const maxPartitionSize = this.estimateMaxPartitionSize(      topologyAnalysis,      riskFactors    );        return {      overallRisk: overallRisk,      maxPartitionSize: maxPartitionSize,      riskFactors: riskFactors,      mitigationStrategies: this.suggestMitigationStrategies(riskFactors)    };  }
  calculateMinimumQuorum(totalNodes, maxPartitionSize) {    // For Byzantine fault tolerance: need > 2/3 of total nodes    const byzantineMinimum = Math.floor(2 * totalNodes / 3) + 1;        // For network partition tolerance: need > 1/2 of largest connected component    const partitionMinimum = Math.floor((totalNodes - maxPartitionSize) / 2) + 1;        // Use the more restrictive requirement    return Math.max(byzantineMinimum, partitionMinimum);  }
  async optimizeForNetworkConditions(minQuorum, networkConditions, topologyAnalysis) {    const optimization = {      baseQuorum: minQuorum,      nodes: new Map(),      totalWeight: 0    };        // Select nodes for quorum based on network position and reliability    const nodeScores = await this.scoreNodesForQuorum(networkConditions, topologyAnalysis);        // Sort nodes by score (higher is better)    const sortedNodes = Array.from(nodeScores.entries())      .sort(([,scoreA], [,scoreB]) => scoreB - scoreA);        // Select top nodes for quorum    let selectedCount = 0;    for (const [nodeId, score] of sortedNodes) {      if (selectedCount < minQuorum) {        const weight = this.calculateNodeWeight(nodeId, score, networkConditions);        optimization.nodes.set(nodeId, {          weight: weight,          score: score,          role: selectedCount === 0 ? 'primary' : 'secondary'        });        optimization.totalWeight += weight;        selectedCount++;      }    }        return optimization;  }
  async scoreNodesForQuorum(networkConditions, topologyAnalysis) {    const scores = new Map();        for (const [nodeId, connections] of topologyAnalysis.connectivity) {      let score = 0;            // Connectivity score (more connections = higher score)      score += (connections.length / topologyAnalysis.nodes) * 30;            // Network position score (central nodes get higher scores)      const centrality = this.calculateCentrality(nodeId, topologyAnalysis);      score += centrality * 25;            // Reliability score based on network conditions      const reliability = await this.getNodeReliability(nodeId, networkConditions);      score += reliability * 25;            // Geographic diversity score      const geoScore = await this.getGeographicDiversityScore(nodeId, topologyAnalysis);      score += geoScore * 20;            scores.set(nodeId, score);    }        return scores;  }
  calculateNodeWeight(nodeId, score, networkConditions) {    // Base weight of 1, adjusted by score and conditions    let weight = 1.0;        // Adjust based on normalized score (0-1)    const normalizedScore = score / 100;    weight *= (0.5 + normalizedScore);        // Adjust based on network latency    const nodeLatency = networkConditions.nodeLatencies.get(nodeId) || 100;    const latencyFactor = Math.max(0.1, 1.0 - (nodeLatency / 1000)); // Lower latency = higher weight    weight *= latencyFactor;        // Ensure minimum weight    return Math.max(0.1, Math.min(2.0, weight));  }}

class PerformanceBasedStrategy {  constructor() {    this.performanceAnalyzer = new PerformanceAnalyzer();    this.throughputOptimizer = new ThroughputOptimizer();    this.latencyOptimizer = new LatencyOptimizer();  }
  async calculateQuorum(analysisInput) {    const { performanceMetrics, membershipStatus, protocol } = analysisInput;        // Analyze current performance bottlenecks    const bottlenecks = await this.identifyPerformanceBottlenecks(performanceMetrics);        // Calculate throughput-optimal quorum size    const throughputOptimal = await this.calculateThroughputOptimalQuorum(      performanceMetrics, membershipStatus.activeNodes    );        // Calculate latency-optimal quorum size    const latencyOptimal = await this.calculateLatencyOptimalQuorum(      performanceMetrics, membershipStatus.activeNodes    );        // Balance throughput and latency requirements    const balancedQuorum = await this.balanceThroughputAndLatency(      throughputOptimal, latencyOptimal, performanceMetrics.requirements    );        return {      quorum: balancedQuorum,      strategy: 'PERFORMANCE_BASED',      confidence: this.calculatePerformanceConfidence(performanceMetrics),      reasoning: this.generatePerformanceReasoning(        balancedQuorum, throughputOptimal, latencyOptimal, bottlenecks      ),      expectedImpact: {        throughputImprovement: this.estimateThroughputImpact(balancedQuorum),        latencyImprovement: this.estimateLatencyImpact(balancedQuorum)      }    };  }
  async calculateThroughputOptimalQuorum(performanceMetrics, activeNodes) {    const currentThroughput = performanceMetrics.throughput;    const targetThroughput = performanceMetrics.requirements.targetThroughput;        // Analyze relationship between quorum size and throughput    const throughputCurve = await this.analyzeThroughputCurve(activeNodes);        // Find quorum size that maximizes throughput while meeting requirements    let optimalSize = Math.ceil(activeNodes.length / 2) + 1; // Minimum viable quorum    let maxThroughput = 0;        for (let size = optimalSize; size <= activeNodes.length; size++) {      const projectedThroughput = this.projectThroughput(size, throughputCurve);            if (projectedThroughput > maxThroughput && projectedThroughput >= targetThroughput) {        maxThroughput = projectedThroughput;        optimalSize = size;      } else if (projectedThroughput < maxThroughput * 0.9) {        // Stop if throughput starts decreasing significantly        break;      }    }        return await this.selectOptimalNodes(activeNodes, optimalSize, 'THROUGHPUT');  }
  async calculateLatencyOptimalQuorum(performanceMetrics, activeNodes) {    const currentLatency = performanceMetrics.latency;    const targetLatency = performanceMetrics.requirements.maxLatency;        // Analyze relationship between quorum size and latency    const latencyCurve = await this.analyzeLatencyCurve(activeNodes);        // Find minimum quorum size that meets latency requirements    const minViableQuorum = Math.ceil(activeNodes.length / 2) + 1;        for (let size = minViableQuorum; size <= activeNodes.length; size++) {      const projectedLatency = this.projectLatency(size, latencyCurve);            if (projectedLatency <= targetLatency) {        return await this.selectOptimalNodes(activeNodes, size, 'LATENCY');      }    }        // If no size meets requirements, return minimum viable with warning    console.warn('No quorum size meets latency requirements');    return await this.selectOptimalNodes(activeNodes, minViableQuorum, 'LATENCY');  }
  async selectOptimalNodes(availableNodes, targetSize, optimizationTarget) {    const nodeScores = new Map();        // Score nodes based on optimization target    for (const node of availableNodes) {      let score = 0;            if (optimizationTarget === 'THROUGHPUT') {        score = await this.scoreThroughputCapability(node);      } else if (optimizationTarget === 'LATENCY') {        score = await this.scoreLatencyPerformance(node);      }            nodeScores.set(node.id, score);    }        // Select top-scoring nodes    const sortedNodes = availableNodes.sort((a, b) =>       nodeScores.get(b.id) - nodeScores.get(a.id)    );        const selectedNodes = new Map();        for (let i = 0; i < Math.min(targetSize, sortedNodes.length); i++) {      const node = sortedNodes[i];      selectedNodes.set(node.id, {        weight: this.calculatePerformanceWeight(node, nodeScores.get(node.id)),        score: nodeScores.get(node.id),        role: i === 0 ? 'primary' : 'secondary',        optimizationTarget: optimizationTarget      });    }        return {      nodes: selectedNodes,      totalWeight: Array.from(selectedNodes.values())        .reduce((sum, node) => sum + node.weight, 0),      optimizationTarget: optimizationTarget    };  }
  async scoreThroughputCapability(node) {    let score = 0;        // CPU capacity score    const cpuCapacity = await this.getNodeCPUCapacity(node);    score += (cpuCapacity / 100) * 30; // 30% weight for CPU        // Network bandwidth score    const bandwidth = await this.getNodeBandwidth(node);    score += (bandwidth / 1000) * 25; // 25% weight for bandwidth (Mbps)        // Memory capacity score    const memory = await this.getNodeMemory(node);    score += (memory / 8192) * 20; // 20% weight for memory (MB)        // Historical throughput performance    const historicalPerformance = await this.getHistoricalThroughput(node);    score += (historicalPerformance / 1000) * 25; // 25% weight for historical performance        return Math.min(100, score); // Normalize to 0-100  }
  async scoreLatencyPerformance(node) {    let score = 100; // Start with perfect score, subtract penalties        // Network latency penalty    const avgLatency = await this.getAverageNodeLatency(node);    score -= (avgLatency / 10); // Subtract 1 point per 10ms latency        // CPU load penalty    const cpuLoad = await this.getNodeCPULoad(node);    score -= (cpuLoad / 2); // Subtract 0.5 points per 1% CPU load        // Geographic distance penalty (for distributed networks)    const geoLatency = await this.getGeographicLatency(node);    score -= (geoLatency / 20); // Subtract 1 point per 20ms geo latency        // Consistency penalty (nodes with inconsistent performance)    const consistencyScore = await this.getPerformanceConsistency(node);    score *= consistencyScore; // Multiply by consistency factor (0-1)        return Math.max(0, score);  }}

class FaultToleranceStrategy {  constructor() {    this.faultAnalyzer = new FaultAnalyzer();    this.reliabilityCalculator = new ReliabilityCalculator();    this.redundancyOptimizer = new RedundancyOptimizer();  }
  async calculateQuorum(analysisInput) {    const { membershipStatus, faultToleranceRequirements, networkConditions } = analysisInput;        // Analyze fault scenarios    const faultScenarios = await this.analyzeFaultScenarios(      membershipStatus.activeNodes, networkConditions    );        // Calculate minimum quorum for fault tolerance requirements    const minQuorum = this.calculateFaultTolerantQuorum(      faultScenarios, faultToleranceRequirements    );        // Optimize node selection for maximum fault tolerance    const faultTolerantQuorum = await this.optimizeForFaultTolerance(      membershipStatus.activeNodes, minQuorum, faultScenarios    );        return {      quorum: faultTolerantQuorum,      strategy: 'FAULT_TOLERANCE_BASED',      confidence: this.calculateFaultConfidence(faultScenarios),      reasoning: this.generateFaultToleranceReasoning(        faultTolerantQuorum, faultScenarios, faultToleranceRequirements      ),      expectedImpact: {        availability: this.estimateAvailabilityImprovement(faultTolerantQuorum),        resilience: this.estimateResilienceImprovement(faultTolerantQuorum)      }    };  }
  async analyzeFaultScenarios(activeNodes, networkConditions) {    const scenarios = [];        // Single node failure scenarios    for (const node of activeNodes) {      const scenario = await this.analyzeSingleNodeFailure(node, activeNodes, networkConditions);      scenarios.push(scenario);    }        // Multiple node failure scenarios    const multiFailureScenarios = await this.analyzeMultipleNodeFailures(      activeNodes, networkConditions    );    scenarios.push(...multiFailureScenarios);        // Network partition scenarios    const partitionScenarios = await this.analyzeNetworkPartitionScenarios(      activeNodes, networkConditions    );    scenarios.push(...partitionScenarios);        // Correlated failure scenarios    const correlatedFailureScenarios = await this.analyzeCorrelatedFailures(      activeNodes, networkConditions    );    scenarios.push(...correlatedFailureScenarios);        return this.prioritizeScenariosByLikelihood(scenarios);  }
  calculateFaultTolerantQuorum(faultScenarios, requirements) {    let maxRequiredQuorum = 0;        for (const scenario of faultScenarios) {      if (scenario.likelihood >= requirements.minLikelihoodToConsider) {        const requiredQuorum = this.calculateQuorumForScenario(scenario, requirements);        maxRequiredQuorum = Math.max(maxRequiredQuorum, requiredQuorum);      }    }        return maxRequiredQuorum;  }
  calculateQuorumForScenario(scenario, requirements) {    const totalNodes = scenario.totalNodes;    const failedNodes = scenario.failedNodes;    const availableNodes = totalNodes - failedNodes;        // For Byzantine fault tolerance    if (requirements.byzantineFaultTolerance) {      const maxByzantineNodes = Math.floor((totalNodes - 1) / 3);      return Math.floor(2 * totalNodes / 3) + 1;    }        // For crash fault tolerance    return Math.floor(availableNodes / 2) + 1;  }
  async optimizeForFaultTolerance(activeNodes, minQuorum, faultScenarios) {    const optimizedQuorum = {      nodes: new Map(),      totalWeight: 0,      faultTolerance: {        singleNodeFailures: 0,        multipleNodeFailures: 0,        networkPartitions: 0      }    };        // Score nodes based on fault tolerance contribution    const nodeScores = await this.scoreFaultToleranceContribution(      activeNodes, faultScenarios    );        // Select nodes to maximize fault tolerance coverage    const selectedNodes = this.selectFaultTolerantNodes(      activeNodes, minQuorum, nodeScores, faultScenarios    );        for (const [nodeId, nodeData] of selectedNodes) {      optimizedQuorum.nodes.set(nodeId, {        weight: nodeData.weight,        score: nodeData.score,        role: nodeData.role,        faultToleranceContribution: nodeData.faultToleranceContribution      });      optimizedQuorum.totalWeight += nodeData.weight;    }        // Calculate fault tolerance metrics for selected quorum    optimizedQuorum.faultTolerance = await this.calculateFaultToleranceMetrics(      selectedNodes, faultScenarios    );        return optimizedQuorum;  }
  async scoreFaultToleranceContribution(activeNodes, faultScenarios) {    const scores = new Map();        for (const node of activeNodes) {      let score = 0;            // Independence score (nodes in different failure domains get higher scores)      const independenceScore = await this.calculateIndependenceScore(node, activeNodes);      score += independenceScore * 40;            // Reliability score (historical uptime and performance)      const reliabilityScore = await this.calculateReliabilityScore(node);      score += reliabilityScore * 30;            // Geographic diversity score      const diversityScore = await this.calculateDiversityScore(node, activeNodes);      score += diversityScore * 20;            // Recovery capability score      const recoveryScore = await this.calculateRecoveryScore(node);      score += recoveryScore * 10;            scores.set(node.id, score);    }        return scores;  }
  selectFaultTolerantNodes(activeNodes, minQuorum, nodeScores, faultScenarios) {    const selectedNodes = new Map();    const remainingNodes = [...activeNodes];        // Greedy selection to maximize fault tolerance coverage    while (selectedNodes.size < minQuorum && remainingNodes.length > 0) {      let bestNode = null;      let bestScore = -1;      let bestIndex = -1;            for (let i = 0; i < remainingNodes.length; i++) {        const node = remainingNodes[i];        const additionalCoverage = this.calculateAdditionalFaultCoverage(          node, selectedNodes, faultScenarios        );                const combinedScore = nodeScores.get(node.id) + (additionalCoverage * 50);                if (combinedScore > bestScore) {          bestScore = combinedScore;          bestNode = node;          bestIndex = i;        }      }            if (bestNode) {        selectedNodes.set(bestNode.id, {          weight: this.calculateFaultToleranceWeight(bestNode, nodeScores.get(bestNode.id)),          score: nodeScores.get(bestNode.id),          role: selectedNodes.size === 0 ? 'primary' : 'secondary',          faultToleranceContribution: this.calculateFaultToleranceContribution(bestNode)        });                remainingNodes.splice(bestIndex, 1);      } else {        break; // No more beneficial nodes      }    }        return selectedNodes;  }}

// Store quorum configuration and historyawait this.mcpTools.memory_usage({  action: 'store',  key: `quorum_config_${this.nodeId}`,  value: JSON.stringify({    currentQuorum: Array.from(this.currentQuorum.entries()),    strategy: this.activeStrategy,    networkConditions: this.lastNetworkAnalysis,    adjustmentHistory: this.quorumHistory.slice(-10)  }),  namespace: 'quorum_management',  ttl: 3600000 // 1 hour});
// Coordinate with swarm for membership changesconst swarmStatus = await this.mcpTools.swarm_status({  swarmId: this.swarmId});
await this.mcpTools.coordination_sync({  swarmId: this.swarmId});

// Track quorum adjustment performanceawait this.mcpTools.metrics_collect({  components: [    'quorum_adjustment_latency',    'consensus_availability',    'fault_tolerance_coverage',    'network_partition_recovery_time'  ]});
// Neural learning for quorum optimizationawait this.mcpTools.neural_patterns({  action: 'learn',  operation: 'quorum_optimization',  outcome: JSON.stringify({    adjustmentType: adjustment.strategy,    performanceImpact: measurementResults,    networkConditions: currentNetworkState,    faultToleranceImprovement: faultToleranceMetrics  })});

// Orchestrate complex quorum adjustmentsawait this.mcpTools.task_orchestrate({  task: 'quorum_adjustment',  strategy: 'sequential',  priority: 'high',  dependencies: [    'network_analysis',    'membership_validation',    'performance_assessment'  ]});