@clduab11/gemini-flow/src/agentspace/AgentSpaceInitializer.ts

Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

/**
 * AgentSpace Initializer
 *
 * Main initialization and orchestration for the complete 66-agent
 * spatial computing architecture integration with existing systems
 */

import { Logger } from "../utils/logger.js";
import { DistributedMemoryManager } from "../protocols/a2a/memory/distributed-memory-manager.js";
import {
  AgentSpaceManager,
  AgentSpaceManagerConfig,
} from "./core/AgentSpaceManager.js";
import { ResourceAllocator } from "./utils/ResourceAllocator.js";
import { PerformanceMonitor } from "./utils/PerformanceMonitor.js";
import { AGENT_DEFINITIONS } from "../agents/agent-definitions.js";
import {
  AgentSpaceConfiguration,
  Vector3D,
  AgentDefinitionExtension,
  MCPIntegration,
} from "./types/AgentSpaceTypes.js";

export interface AgentSpaceInitConfig {
  agentSpaceId: string;
  maxAgents: number;
  spatialDimensions: Vector3D;
  securityLevel: "basic" | "standard" | "high" | "maximum";
  mcpIntegration: MCPIntegration;
  autoDeployAgents?: boolean;
  initialAgentTypes?: string[];
  spatialArrangement?: "clustered" | "distributed" | "layered";
}

export interface InitializationResult {
  agentSpaceManager: AgentSpaceManager;
  resourceAllocator: ResourceAllocator;
  performanceMonitor: PerformanceMonitor;
  deployedAgents: string[];
  spatialZones: string[];
  systemHealth: number;
}

export interface AgentSpaceSystem {
  manager: AgentSpaceManager;
  resourceAllocator: ResourceAllocator;
  performanceMonitor: PerformanceMonitor;
  isInitialized: boolean;
  startTime: Date;
}

/**
 * Initialize complete AgentSpace system
 */
export async function initializeAgentSpace(
  config: AgentSpaceInitConfig,
  baseMemoryManager: DistributedMemoryManager,
): Promise<InitializationResult> {
  const logger = new Logger("AgentSpaceInitializer");

  logger.info("Initializing AgentSpace system", {
    agentSpaceId: config.agentSpaceId,
    maxAgents: config.maxAgents,
    spatialDimensions: config.spatialDimensions,
  });

  try {
    // Create system configuration
    const agentSpaceConfig = createAgentSpaceConfiguration(config);
    const managerConfig = createManagerConfiguration(config, agentSpaceConfig);

    // Initialize core components
    logger.info("Initializing core components");

    const resourceAllocator = new ResourceAllocator();
    const performanceMonitor = new PerformanceMonitor({
      metricsCollectionInterval: 5000, // 5 seconds
      trendAnalysisWindow: 300000, // 5 minutes
      bottleneckDetectionThreshold: 0.8,
      alertingEnabled: true,
      historicalDataRetention: 1000,
    });

    const agentSpaceManager = new AgentSpaceManager(
      managerConfig,
      baseMemoryManager,
    );

    // Set up component integrations
    setupComponentIntegrations(
      agentSpaceManager,
      resourceAllocator,
      performanceMonitor,
    );

    let deployedAgents: string[] = [];
    let spatialZones: string[] = [];

    // Auto-deploy agents if requested
    if (config.autoDeployAgents) {
      logger.info("Auto-deploying agents");
      const result = await autoDeployAgents(
        agentSpaceManager,
        config.initialAgentTypes || [],
        config.spatialArrangement || "distributed",
      );
      deployedAgents = result.deployedAgents;
      spatialZones = result.spatialZones;
    }

    // Verify system health
    const systemHealth = await verifySystemHealth(
      agentSpaceManager,
      resourceAllocator,
      performanceMonitor,
    );

    logger.info("AgentSpace system initialized successfully", {
      deployedAgents: deployedAgents.length,
      spatialZones: spatialZones.length,
      systemHealth,
    });

    return {
      agentSpaceManager,
      resourceAllocator,
      performanceMonitor,
      deployedAgents,
      spatialZones,
      systemHealth,
    };
  } catch (error) {
    logger.error("Failed to initialize AgentSpace system", {
      error: error.message,
    });
    throw error;
  }
}

/**
 * Deploy a complete 66-agent swarm with optimal spatial arrangement
 */
export async function deployFullAgentSwarm(
  agentSpaceManager: AgentSpaceManager,
  topology: "hierarchical" | "mesh" | "ring" | "star" = "mesh",
): Promise<{ deployedAgents: string[]; collaborationZones: string[] }> {
  const logger = new Logger("AgentSpaceInitializer");

  logger.info("Deploying full 66-agent swarm", { topology });

  try {
    // Group agents by category for strategic deployment
    const agentGroups = groupAgentsByCategory();

    // Deploy core agents first (coordinators, essential services)
    const coreAgents = await deployCoreAgents(
      agentSpaceManager,
      agentGroups.core,
    );

    // Deploy specialized agents in layers
    const specializedAgents = await deploySpecializedAgents(
      agentSpaceManager,
      agentGroups.specialized,
      topology,
    );

    // Deploy supporting agents
    const supportAgents = await deploySupportingAgents(
      agentSpaceManager,
      agentGroups.support,
    );

    // Create collaboration zones based on agent relationships
    const collaborationZones = await createCollaborationZones(
      agentSpaceManager,
      [...coreAgents, ...specializedAgents, ...supportAgents],
      topology,
    );

    const allDeployedAgents = [
      ...coreAgents,
      ...specializedAgents,
      ...supportAgents,
    ];

    logger.info("Full agent swarm deployed successfully", {
      totalAgents: allDeployedAgents.length,
      collaborationZones: collaborationZones.length,
      topology,
    });

    return {
      deployedAgents: allDeployedAgents,
      collaborationZones,
    };
  } catch (error) {
    logger.error("Failed to deploy full agent swarm", {
      error: error.message,
    });
    throw error;
  }
}

/**
 * Integrate with MCP tools and existing infrastructure
 */
export async function integrateMCPTools(
  agentSpaceManager: AgentSpaceManager,
  mcpIntegration: MCPIntegration,
): Promise<void> {
  const logger = new Logger("AgentSpaceInitializer");

  logger.info("Integrating with MCP tools", mcpIntegration);

  try {
    // Integration would connect with:
    // - Mem0 MCP for persistent memory
    // - GitHub MCP for repository operations
    // - Other MCP tools for external capabilities

    logger.debug(
      "MCP integration placeholder - would connect to actual MCP servers",
    );

    // Example integration points:
    // await connectMem0MCP(mcpIntegration.memoryProvider);
    // await connectGitHubMCP(mcpIntegration.toolRegistry);
    // await setupAuthProvider(mcpIntegration.authProvider);
    // await connectEventBus(mcpIntegration.eventBus);

    logger.info("MCP tools integration completed");
  } catch (error) {
    logger.error("Failed to integrate MCP tools", {
      error: error.message,
    });
    throw error;
  }
}

/**
 * Private helper functions
 */

function createAgentSpaceConfiguration(
  config: AgentSpaceInitConfig,
): AgentSpaceConfiguration {
  return {
    maxWorkspaces: config.maxAgents * 2, // Extra capacity
    defaultResourceLimits: {
      maxMemoryMB: 512,
      maxCPUPercentage: 25,
      maxNetworkBandwidthMbps: 100,
      maxStorageMB: 1024,
      maxConcurrentConnections: 50,
      maxToolAccess: 10,
      timeoutMs: 30000,
    },
    spatialDimensions: config.spatialDimensions,
    consensusQuorum: Math.ceil(config.maxAgents * 0.67), // 67% for Byzantine fault tolerance
    memoryShardingEnabled: config.maxAgents > 10,
    securityLevel: config.securityLevel,
    monitoringEnabled: true,
    analyticsEnabled: true,
  };
}

function createManagerConfiguration(
  config: AgentSpaceInitConfig,
  agentSpaceConfig: AgentSpaceConfiguration,
): AgentSpaceManagerConfig {
  return {
    agentSpaceId: config.agentSpaceId,
    configuration: agentSpaceConfig,
    virtualizationConfig: {
      maxWorkspaces: agentSpaceConfig.maxWorkspaces,
      defaultResourceLimits: agentSpaceConfig.defaultResourceLimits,
      isolationLevel:
        config.securityLevel === "maximum" ? "secure_enclave" : "container",
      monitoringInterval: 10000, // 10 seconds
      cleanupInterval: 60000, // 1 minute
      securityEnabled: config.securityLevel !== "basic",
    },
    spatialConfig: {
      dimensions: config.spatialDimensions,
      spatialResolution: 1.0,
      maxTrackingDistance:
        Math.max(
          config.spatialDimensions.x,
          config.spatialDimensions.y,
          config.spatialDimensions.z,
        ) * 0.3,
      collisionDetectionEnabled: true,
      pathPlanningEnabled: true,
      spatialIndexingEnabled: config.maxAgents > 20,
    },
    memoryConfig: {
      spatialIndexingEnabled: true,
      knowledgeGraphEnabled: true,
      mem0Integration: config.mcpIntegration.memoryProvider !== "",
      compressionEnabled: config.maxAgents > 50,
      spatialRadius: 20,
      maxMemoryNodes: config.maxAgents * 1000,
      persistenceLevel: "persistent",
      analyticsEnabled: true,
    },
    consensusConfig: {
      spatialTolerance: 5.0,
      resourceContention: true,
      movementCoordination: true,
      zoneManagement: true,
      consensusTimeout: 30000,
      quorumThreshold: 0.67,
      byzantineTolerance: Math.floor(config.maxAgents / 3),
    },
    mcpIntegration: config.mcpIntegration,
  };
}

function setupComponentIntegrations(
  agentSpaceManager: AgentSpaceManager,
  resourceAllocator: ResourceAllocator,
  performanceMonitor: PerformanceMonitor,
): void {
  const logger = new Logger("AgentSpaceInitializer");

  // AgentSpaceManager -> PerformanceMonitor
  agentSpaceManager.on("agent_deployed", (event) => {
    performanceMonitor.recordOperation(
      "agent_deployment",
      1000,
      true,
      "agentspace",
    );
  });

  agentSpaceManager.on("consensus_started", (event) => {
    performanceMonitor.recordOperation(
      "consensus_initiation",
      500,
      true,
      "consensus",
    );
  });

  agentSpaceManager.on("workspace_created", (event) => {
    performanceMonitor.recordOperation(
      "workspace_creation",
      800,
      true,
      "virtualization",
    );
  });

  // PerformanceMonitor -> AgentSpaceManager (performance alerts)
  performanceMonitor.on("performance_alert", async (alert) => {
    if (alert.severity === "critical") {
      logger.warn("Critical performance alert received", alert);
      // Trigger system optimization
      await agentSpaceManager.optimizeSystem();
    }
  });

  // ResourceAllocator integration (would be more extensive in production)
  logger.debug("Component integrations setup completed");
}

async function autoDeployAgents(
  agentSpaceManager: AgentSpaceManager,
  agentTypes: string[],
  spatialArrangement: string,
): Promise<{ deployedAgents: string[]; spatialZones: string[] }> {
  const logger = new Logger("AgentSpaceInitializer");

  // Default agent types if none specified
  const defaultAgentTypes = [
    "hierarchical-coordinator",
    "coder",
    "researcher",
    "reviewer",
    "tester",
    "performance-monitor",
    "security-auditor",
    "memory-manager",
  ];

  const typesToDeploy = agentTypes.length > 0 ? agentTypes : defaultAgentTypes;
  const deployedAgents: string[] = [];

  for (const agentType of typesToDeploy) {
    const agentDefinition = AGENT_DEFINITIONS[agentType];
    if (!agentDefinition) {
      logger.warn("Unknown agent type requested", { agentType });
      continue;
    }

    try {
      const enhancedDefinition: AgentDefinitionExtension = {
        ...agentDefinition,
        spatialCapabilities: [
          {
            type: "navigation",
            level: "intermediate",
            constraints: {},
          },
        ],
        collaborationPreferences: {
          preferredDistance: 15,
          maxCollaborators: 5,
          communicationStyle: "mesh",
          trustThreshold: 0.7,
        },
        securityClearance: {
          level: agentDefinition.type.includes("security")
            ? "secret"
            : "confidential",
        },
      };

      const deploymentPlan =
        await agentSpaceManager.deployAgent(enhancedDefinition);
      deployedAgents.push(deploymentPlan.agentId);

      logger.debug("Agent deployed", {
        agentId: deploymentPlan.agentId,
        agentType: agentDefinition.type,
      });
    } catch (error) {
      logger.error("Failed to deploy agent", {
        agentType,
        error: error.message,
      });
    }
  }

  // Create collaboration zones
  const spatialZones: string[] = [];
  if (deployedAgents.length > 1) {
    try {
      const result = await agentSpaceManager.createCollaborativeWorkspace(
        deployedAgents,
        "Main Collaboration Zone",
      );
      spatialZones.push(result.zone.id);
    } catch (error) {
      logger.error("Failed to create collaboration zone", {
        error: error.message,
      });
    }
  }

  return { deployedAgents, spatialZones };
}

function groupAgentsByCategory(): {
  core: string[];
  specialized: string[];
  support: string[];
} {
  const allAgentTypes = Object.keys(AGENT_DEFINITIONS);

  const coreAgentTypes = [
    "hierarchical-coordinator",
    "mesh-coordinator",
    "adaptive-coordinator",
    "byzantine-fault-tolerant",
    "raft-consensus",
  ];

  const specializedAgentTypes = [
    "coder",
    "researcher",
    "reviewer",
    "tester",
    "backend-dev",
    "frontend-dev",
    "ml-developer",
    "security-auditor",
    "performance-monitor",
  ];

  const supportAgentTypes = allAgentTypes.filter(
    (type) =>
      !coreAgentTypes.includes(type) && !specializedAgentTypes.includes(type),
  );

  return {
    core: coreAgentTypes,
    specialized: specializedAgentTypes,
    support: supportAgentTypes,
  };
}

async function deployCoreAgents(
  agentSpaceManager: AgentSpaceManager,
  coreAgentTypes: string[],
): Promise<string[]> {
  const logger = new Logger("AgentSpaceInitializer");
  const deployedAgents: string[] = [];

  logger.info("Deploying core agents", { count: coreAgentTypes.length });

  for (const agentType of coreAgentTypes) {
    const definition = AGENT_DEFINITIONS[agentType];
    if (!definition) continue;

    try {
      const enhancedDefinition: AgentDefinitionExtension = {
        ...definition,
        spatialCapabilities: [
          {
            type: "spatial_reasoning",
            level: "expert",
            constraints: { coordinationRadius: 50 },
          },
        ],
        securityClearance: {
          level: "top_secret",
        },
      };

      const plan = await agentSpaceManager.deployAgent(
        enhancedDefinition,
        { x: 0, y: 0, z: deployedAgents.length * 10 }, // Central positions
      );

      deployedAgents.push(plan.agentId);
    } catch (error) {
      logger.error("Failed to deploy core agent", {
        agentType,
        error: error.message,
      });
    }
  }

  return deployedAgents;
}

async function deploySpecializedAgents(
  agentSpaceManager: AgentSpaceManager,
  specializedAgentTypes: string[],
  topology: string,
): Promise<string[]> {
  const logger = new Logger("AgentSpaceInitializer");
  const deployedAgents: string[] = [];

  logger.info("Deploying specialized agents", {
    count: specializedAgentTypes.length,
    topology,
  });

  // Deploy in batches for better resource management
  const batchSize = 5;
  for (let i = 0; i < specializedAgentTypes.length; i += batchSize) {
    const batch = specializedAgentTypes.slice(i, i + batchSize);
    const batchPromises = batch.map(async (agentType, index) => {
      const definition = AGENT_DEFINITIONS[agentType];
      if (!definition) return null;

      const enhancedDefinition: AgentDefinitionExtension = {
        ...definition,
        spatialCapabilities: [
          {
            type: "navigation",
            level: "advanced",
          },
        ],
      };

      // Calculate position based on topology
      const position = calculateSpecializedAgentPosition(
        i + index,
        specializedAgentTypes.length,
        topology,
      );

      const plan = await agentSpaceManager.deployAgent(
        enhancedDefinition,
        position,
      );
      return plan.agentId;
    });

    const batchResults = await Promise.allSettled(batchPromises);

    batchResults.forEach((result) => {
      if (result.status === "fulfilled" && result.value) {
        deployedAgents.push(result.value);
      }
    });

    // Small delay between batches
    await new Promise((resolve) => setTimeout(resolve, 1000));
  }

  return deployedAgents;
}

async function deploySupportingAgents(
  agentSpaceManager: AgentSpaceManager,
  supportAgentTypes: string[],
): Promise<string[]> {
  const logger = new Logger("AgentSpaceInitializer");
  const deployedAgents: string[] = [];

  logger.info("Deploying supporting agents", {
    count: supportAgentTypes.length,
  });

  // Deploy support agents with lower priority and resources
  for (const agentType of supportAgentTypes.slice(0, 20)) {
    // Limit to 20 support agents
    const definition = AGENT_DEFINITIONS[agentType];
    if (!definition) continue;

    try {
      const enhancedDefinition: AgentDefinitionExtension = {
        ...definition,
        resourceRequirements: [
          {
            resourceType: "memory",
            amount: 50, // Lower resource requirements
            duration: 0,
            sharable: true,
          },
        ],
      };

      const position = {
        x: (Math.random() - 0.5) * 100,
        y: (Math.random() - 0.5) * 100,
        z: (Math.random() - 0.5) * 100,
      };

      const plan = await agentSpaceManager.deployAgent(
        enhancedDefinition,
        position,
      );
      deployedAgents.push(plan.agentId);
    } catch (error) {
      logger.warn("Failed to deploy support agent", {
        agentType,
        error: error.message,
      });
    }
  }

  return deployedAgents;
}

async function createCollaborationZones(
  agentSpaceManager: AgentSpaceManager,
  deployedAgents: string[],
  topology: string,
): Promise<string[]> {
  const logger = new Logger("AgentSpaceInitializer");
  const collaborationZones: string[] = [];

  // Create zones for different types of collaboration
  const zoneConfigs = [
    {
      name: "Core Coordination Zone",
      participants: deployedAgents.slice(0, 10),
    },
    { name: "Development Zone", participants: deployedAgents.slice(10, 30) },
    { name: "Analysis Zone", participants: deployedAgents.slice(30, 50) },
  ];

  for (const config of zoneConfigs) {
    if (config.participants.length > 1) {
      try {
        const result = await agentSpaceManager.createCollaborativeWorkspace(
          config.participants,
          config.name,
        );
        collaborationZones.push(result.zone.id);

        logger.debug("Collaboration zone created", {
          zoneId: result.zone.id,
          participants: config.participants.length,
        });
      } catch (error) {
        logger.error("Failed to create collaboration zone", {
          zoneName: config.name,
          error: error.message,
        });
      }
    }
  }

  return collaborationZones;
}

function calculateSpecializedAgentPosition(
  index: number,
  total: number,
  topology: string,
): Vector3D {
  switch (topology) {
    case "ring":
      const angle = (2 * Math.PI * index) / total;
      const radius = 30;
      return {
        x: radius * Math.cos(angle),
        y: radius * Math.sin(angle),
        z: 0,
      };

    case "hierarchical":
      const level = Math.floor(index / 5);
      const posInLevel = index % 5;
      return {
        x: (posInLevel - 2) * 20,
        y: level * 25,
        z: 0,
      };

    case "star":
      if (index === 0) {
        return { x: 0, y: 0, z: 0 };
      }
      const starAngle = (2 * Math.PI * (index - 1)) / (total - 1);
      const starRadius = 25;
      return {
        x: starRadius * Math.cos(starAngle),
        y: starRadius * Math.sin(starAngle),
        z: 0,
      };

    case "mesh":
    default:
      return {
        x: (Math.random() - 0.5) * 80,
        y: (Math.random() - 0.5) * 80,
        z: (Math.random() - 0.5) * 40,
      };
  }
}

async function verifySystemHealth(
  agentSpaceManager: AgentSpaceManager,
  resourceAllocator: ResourceAllocator,
  performanceMonitor: PerformanceMonitor,
): Promise<number> {
  const logger = new Logger("AgentSpaceInitializer");

  try {
    // Give components time to initialize
    await new Promise((resolve) => setTimeout(resolve, 2000));

    // Collect health metrics
    const agentSpaceHealth = await agentSpaceManager.getSystemHealth();
    const resourceMetrics = resourceAllocator.getMetrics();
    const performanceMetrics = performanceMonitor.getCurrentMetrics();

    // Calculate overall health score
    const healthScore =
      (agentSpaceHealth.overallHealth.overall +
        resourceMetrics.satisfactionScore +
        performanceMetrics.performanceScore) /
      3;

    logger.info("System health verification completed", {
      agentSpaceHealth: agentSpaceHealth.overallHealth.overall,
      resourceSatisfaction: resourceMetrics.satisfactionScore,
      performanceScore: performanceMetrics.performanceScore,
      overallHealth: healthScore,
    });

    return healthScore;
  } catch (error) {
    logger.error("System health verification failed", {
      error: error.message,
    });
    return 0.5; // Default moderate health
  }
}

/**
 * Global system instance (singleton pattern)
 */
let globalAgentSpaceSystem: AgentSpaceSystem | null = null;

export function getGlobalAgentSpaceSystem(): AgentSpaceSystem | null {
  return globalAgentSpaceSystem;
}

export function setGlobalAgentSpaceSystem(system: AgentSpaceSystem): void {
  globalAgentSpaceSystem = system;
}

/**
 * Shutdown the entire AgentSpace system
 */
export async function shutdownAgentSpace(
  system?: AgentSpaceSystem,
): Promise<void> {
  const logger = new Logger("AgentSpaceInitializer");

  logger.info("Shutting down AgentSpace system");

  const targetSystem = system || globalAgentSpaceSystem;

  if (!targetSystem) {
    logger.warn("No AgentSpace system found to shutdown");
    return;
  }

  try {
    await Promise.all([
      targetSystem.performanceMonitor.shutdown(),
      targetSystem.resourceAllocator.shutdown(),
      targetSystem.manager.shutdown(),
    ]);

    if (targetSystem === globalAgentSpaceSystem) {
      globalAgentSpaceSystem = null;
    }

    logger.info("AgentSpace system shutdown completed successfully");
  } catch (error) {
    logger.error("Error during AgentSpace system shutdown", {
      error: error.message,
    });
    throw error;
  }
}