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ROME SDK - Swarm Orchestration Framework

Table of Contents

  1. Introduction

  2. Core Features 2.1. Agent Lifecycle Management - Agent Creation and Initialization - State Management and Persistence - Graceful Shutdown and Recovery - Health Monitoring and Auto-healing

    2.2. Swarm Orchestration - Dynamic Swarm Formation - Role-based Agent Organization - Task Distribution and Load Balancing - Consensus Mechanisms

    2.3. Communication Patterns - P2P Direct Messaging - Pub/Sub Event System - Broadcast Communications - Message Queuing and Persistence

    2.4. Resource Management - Compute Resource Sharing - Storage Allocation - Memory Management - Resource Discovery

    2.5. Security & Access Control - Agent Authentication - Capability-based Security - Encryption for Data in Transit - Access Token Management

  3. Getting Started 3.1. Installation 3.2. Quick Start - Create an Agent - Form a Swarm - Implement Communication

  4. Advanced Usage 4.1. Custom Behaviors 4.2. Swarm Policies

1. Introduction

Key Benefits

  • Decentralized agent coordination
  • Fault-tolerant operations
  • Efficient resource utilization
  • Secure communication channels
  • Cross-platform compatibility

Swarm as a Primitive

Swarms serve as the fundamental building block for multi-agent systems, providing:

  • Dynamic agent grouping
  • Resource pooling
  • Task distribution
  • Collective decision-making

System Overview

Key Benefits of the Agent Swarm Protocol

  • Decentralization: Removes reliance on central controllers, enabling agents to operate independently.
  • Resilience: Built-in fault tolerance ensures that agents can self-heal and adapt to failures.
  • Cost Efficiency: Optimized resource sharing reduces operational costs by making efficient use of available assets.
  • Security: Cryptographic verification mechanisms prevent unauthorized access and ensure trust among agents.
  • Interoperability: Supports a wide range of applications, from cloud computing to IoT and AI systems.

Objectives of the Agent Swarm Protocol

  1. Efficient Communication:

    • Enable real-time messaging with minimal latency.
    • Support direct, relayed, and broadcast communication models.
  2. Resource Optimization:

    • Facilitate the sharing of computing power, storage, and network bandwidth.
    • Dynamic resource allocation to balance workload.
  3. Security & Trust:

    • Implement authentication, authorization, and encryption mechanisms.
    • Provide reputation scoring to establish trust between agents.
  4. Scalability:

    • Seamless expansion to accommodate growing workloads and additional agents.
    • Efficient task distribution within swarms of varying sizes.
  5. Autonomy:

    • Allow agents to make independent decisions based on predefined logic.
    • Self-monitoring and self-healing capabilities for improved reliability.

Use Cases

The Agent Swarm Protocol has applications in various industries, including but not limited to:

  • Cloud Resource Allocation:

    • Dynamic management and scaling of cloud-based computing resources.
    • Load balancing among agents based on demand.
  • Autonomous Fleet Coordination:

    • Coordinated movement and decision-making for autonomous drones and vehicles.
    • Real-time route optimization and collision avoidance.
  • Decentralized AI Training:

    • Enabling distributed machine learning where agents contribute processing power.
    • Secure data sharing while maintaining privacy compliance.
  • Supply Chain Automation:

    • Optimizing logistics operations by tracking goods, predicting demands, and managing inventories.
    • Adaptive response to real-time disruptions.
  • IoT Device Management:

    • Efficient coordination and communication between smart devices in an IoT ecosystem.
    • Automated responses to environmental changes.

2. Core Features

2.1 Agent Lifecycle Management

2.1.1 Agent Creation and Initialization

import { Agent, AgentConfig } from '@rome-sdk/agents';
import { Swarm, SwarmConfig } from '@rome-sdk/swarm';

const config: AgentConfig = {
  id: 'agent-001',
  capabilities: ['compute', 'storage'],
  resources: {
    maxMemory: '1GB',
    maxCPU: 2
  }
};

const agent = new Agent(config);
await agent.initialize();

2.1.2 State Management and Persistence

// ...existing state management code...

2.1.3 Graceful Shutdown and Recovery

// ...existing graceful shutdown and recovery code...

2.1.4 Health Monitoring and Auto-healing

// ...existing health monitoring and auto-healing code...

2.2 Swarm Orchestration

2.2.1 Dynamic Swarm Formation

const swarmConfig: SwarmConfig = {
  name: 'processing-swarm',
  minAgents: 3,
  maxAgents: 10,
  consensusStrategy: 'raft'
};

const swarm = new Swarm(swarmConfig);
await swarm.addAgent(agent);

2.2.2 Role-based Agent Organization

// ...existing role-based agent organization code...

2.2.3 Task Distribution and Load Balancing

const task = new Task({
  id: 'task-001',
  type: 'DATA_PROCESSING',
  priority: 'HIGH',
  timeout: '5m'
});

await swarm.distributeTask(task, {
  strategy: 'round-robin',
  retries: 3
});

2.2.4 Consensus Mechanisms

// ...existing consensus mechanisms code...

2.3 Communication Patterns

2.3.1 P2P Direct Messaging

// Subscribe to events
agent.on('message', async (message) => {
  console.log('Received:', message);
});

// Send message to another agent
await agent.sendMessage('agent-002', {
  type: 'TASK_ASSIGNMENT',
  payload: { taskId: 'task-001' }
});

2.3.2 Pub/Sub Event System

// ...existing pub/sub event system code...

2.3.3 Broadcast Communications

// ...existing broadcast communications code...

2.3.4 Message Queuing and Persistence

// ...existing message queuing and persistence code...

2.4 Resource Management

2.4.1 Compute Resource Sharing

// Share resources
await agent.shareResource({
  type: 'COMPUTE',
  amount: '500MB',
  target: 'agent-003',
  duration: '30m'
});

// Monitor usage
agent.on('resource-usage', (metrics) => {
  console.log('Current usage:', metrics);
});

2.4.2 Storage Allocation

// ...existing storage allocation code...

2.4.3 Memory Management

// ...existing memory management code...

2.4.4 Resource Discovery

// ...existing resource discovery code...

2.5 Security & Access Control

2.5.1 Agent Authentication

import { SecurityManager } from '@rome-sdk/core';

const security = new SecurityManager({
  encryption: 'AES-256',
  tokenValidity: '24h'
});

const token = await security.generateToken(agent.id);

2.5.2 Capability-based Security

// Grant capability
await agent.grantCapability('storage-access', {
  target: 'agent-002',
  duration: '1h',
  permissions: ['read', 'write']
});

// Use capability
await agent.useCapability('storage-access', {
  operation: 'write',
  data: buffer
});

2.5.3 Encryption for Data in Transit

// ...existing encryption for data in transit code...

2.5.4 Access Token Management

// ...existing access token management code...

3. Getting Started

3.1 Installation

npm install @rome-sdk/core @rome-sdk/agents @rome-sdk/swarm

3.2 Quick Start

3.2.1 Create an Agent

import { Agent, AgentConfig } from '@rome-sdk/agents';
import { Swarm, SwarmConfig } from '@rome-sdk/swarm';

const config: AgentConfig = {
  id: 'agent-001',
  capabilities: ['compute', 'storage'],
  resources: {
    maxMemory: '1GB',
    maxCPU: 2
  }
};

const agent = new Agent(config);
await agent.initialize();

3.2.2 Form a Swarm

const swarmConfig: SwarmConfig = {
  name: 'processing-swarm',
  minAgents: 3,
  maxAgents: 10,
  consensusStrategy: 'raft'
};

const swarm = new Swarm(swarmConfig);
await swarm.addAgent(agent);

3.2.3 Implement Communication

// Subscribe to events
agent.on('message', async (message) => {
  console.log('Received:', message);
});

// Send message to another agent
await agent.sendMessage('agent-002', {
  type: 'TASK_ASSIGNMENT',
  payload: { taskId: 'task-001' }
});

4. Advanced Usage

4.1 Custom Behaviors

class CustomAgent extends Agent {
  async onMessageReceived(message: Message) {
    // Custom message handling
  }

  async onResourceRequest(request: ResourceRequest) {
    // Custom resource handling
  }
}

4.2 Swarm Policies

const policy = new SwarmPolicy({
  scaling: {
    minAgents: 5,
    maxAgents: 20,
    scalingFactor: 1.5
  },
  resourceLimits: {
    maxMemoryPerAgent: '2GB',
    maxCPUPerAgent: 4
  },
  security: {
    requireEncryption: true,
    tokenRefreshInterval: '6h'
  }
});

await swarm.applyPolicy(policy);

πŸ“š Creating Custom Swarms

Basic Swarm Setup

  1. Initialize your swarm with different agent types:
import { Swarm, RAgent } from '@rome-sdk/core';

// Create different types of agents
const dataAgent = new RAgent({
  type: 'RD',
  capabilities: ['query', 'transform']
});

const computeAgent = new RAgent({
  type: 'RC',
  capabilities: ['execute', 'monitor']
});

// Create swarm with agents
const swarm = new Swarm({
  name: 'processing-swarm',
  agents: [dataAgent, computeAgent],
  config: {
    communicationPattern: 'mesh',
    resourceSharing: true
  }
});

Agent Communication

  1. Define communication patterns:
// Setup pub/sub communication
swarm.setupCommunication({
  pattern: 'pubsub',
  topics: ['data-requests', 'compute-results']
});

// Subscribe to topics
dataAgent.subscribe('compute-results', async (message) => {
  await dataAgent.processResults(message);
});

computeAgent.subscribe('data-requests', async (message) => {
  const result = await computeAgent.processData(message.data);
  await computeAgent.publish('compute-results', result);
});
  1. Implement direct messaging:
// Enable direct communication between agents
swarm.enableDirectMessaging({
  routes: [
    {from: 'dataAgent', to: 'computeAgent'},
    {from: 'computeAgent', to: 'dataAgent'}
  ]
});

Resource Sharing

  1. Configure resource sharing policies:
swarm.configureResourceSharing({
  policy: {
    cpu: {
      maxSharedPercentage: 80,
      priorityQueue: true
    },
    memory: {
      maxSharedGB: 16,
      reserveAmount: '4GB'
    }
  }
});

// Implement resource requests
computeAgent.requestResource({
  type: 'cpu',
  amount: '4cores',
  duration: '10m'
});

Task Distribution

  1. Set up task distribution patterns:
const taskManager = swarm.createTaskManager({
  strategy: 'round-robin',
  balancing: 'load-based',
  retry: {
    maxAttempts: 3,
    backoff: 'exponential'
  }
});

// Define and distribute tasks
const task = new Task({
  type: 'data-processing',
  priority: 'high',
  dependencies: ['data-fetch', 'compute']
});

await taskManager.distribute(task);

Example Use Cases

  1. Data Processing Pipeline:
const dataPipeline = swarm.createPipeline({
  name: 'data-processing',
  stages: [
    {
      name: 'fetch',
      agent: dataAgent,
      action: 'fetchData'
    },
    {
      name: 'process',
      agent: computeAgent,
      action: 'processData'
    },
    {
      name: 'store',
      agent: dataAgent,
      action: 'storeResults'
    }
  ]
});

// Execute pipeline
await dataPipeline.execute({
  input: {
    source: 'database-1',
    query: 'SELECT * FROM users'
  }
});
  1. Real-time Monitoring System:
const monitoringSystem = swarm.createMonitor({
  agents: ['computeAgent', 'dataAgent'],
  metrics: ['cpu', 'memory', 'tasks'],
  interval: '1s',
  alerts: {
    cpu: {threshold: 90, action: 'scale'},
    memory: {threshold: 85, action: 'cleanup'}
  }
});

// Start monitoring
monitoringSystem.start();
  1. Fault-Tolerant Job Processing:
const jobProcessor = swarm.createJobProcessor({
  queue: 'high-priority',
  workers: {
    min: 2,
    max: 5,
    scaleOn: 'queue-size'
  },
  fallback: {
    strategy: 'retry-with-backup',
    maxAttempts: 3
  }
});

// Submit jobs
await jobProcessor.submit({
  type: 'data-analysis',
  data: largeDataset,
  timeout: '5m'
});

πŸ“– API Documentation

Detailed API documentation is available at: ...

🀝 Contributing

Please read our Contributing Guide for details on our code of conduct and the process for submitting pull requests.

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.