Tutorials¶

This guide provides step-by-step tutorials for common tasks and use cases in the AIDDDMAP platform.

Basic Tutorials¶

1. Setting Up Your First Agent¶

Prerequisites¶

requirements:
  platform:
    - AIDDDMAP account
    - API key
    - Development environment
  knowledge:
    - Basic TypeScript
    - REST APIs
    - Docker basics

Step-by-Step Guide¶

// 1. Initialize agent configuration
interface AgentConfig {
  name: string;
  type: "processing" | "analysis" | "monitoring";
  capabilities: string[];
  resources: {
    cpu: string;
    memory: string;
    storage: string;
  };
}

// 2. Create agent instance
const agent: AgentConfig = {
  name: "data-processor",
  type: "processing",
  capabilities: ["csv", "json", "xml"],
  resources: {
    cpu: "1",
    memory: "512Mi",
    storage: "1Gi",
  },
};

// 3. Deploy agent
async function deployAgent(config: AgentConfig): Promise<string> {
  const response = await fetch("https://api.aidddmap.com/v1/agents", {
    method: "POST",
    headers: {
      Authorization: `Bearer ${API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify(config),
  });

  return response.json();
}

2. Processing Your First Dataset¶

Data Preparation¶

interface Dataset {
  name: string;
  type: string;
  schema: Record<string, string>;
  encryption: {
    enabled: boolean;
    type: string;
  };
}

// Example dataset configuration
const dataset: Dataset = {
  name: "customer-data",
  type: "structured",
  schema: {
    id: "string",
    name: "string",
    email: "string",
    age: "number",
  },
  encryption: {
    enabled: true,
    type: "FHE",
  },
};

Processing Steps¶

// 1. Upload dataset
async function uploadDataset(data: Buffer, config: Dataset): Promise<string> {
  const form = new FormData();
  form.append("data", data);
  form.append("config", JSON.stringify(config));

  const response = await fetch("https://api.aidddmap.com/v1/datasets", {
    method: "POST",
    headers: {
      Authorization: `Bearer ${API_KEY}`,
    },
    body: form,
  });

  return response.json();
}

// 2. Process dataset
async function processDataset(
  datasetId: string,
  agentId: string,
): Promise<void> {
  await fetch(`https://api.aidddmap.com/v1/agents/${agentId}/process`, {
    method: "POST",
    headers: {
      Authorization: `Bearer ${API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({ datasetId }),
  });
}

Intermediate Tutorials¶

1. Implementing Custom Agents¶

Agent Development¶

// Custom agent implementation
class CustomAgent implements Agent {
  private config: AgentConfig;

  constructor(config: AgentConfig) {
    this.config = config;
  }

  async initialize(): Promise<void> {
    // Initialize agent resources
    await this.setupResources();
    await this.loadModels();
  }

  async process(data: any): Promise<any> {
    // Implement custom processing logic
    const result = await this.customLogic(data);
    return this.formatOutput(result);
  }

  async cleanup(): Promise<void> {
    // Cleanup resources
    await this.releaseResources();
  }
}

Deployment Configuration¶

agent_deployment:
  name: custom-agent
  version: 1.0.0

  container:
    image: aidddmap/custom-agent
    tag: latest

  resources:
    requests:
      cpu: 500m
      memory: 512Mi
    limits:
      cpu: 1000m
      memory: 1Gi

  scaling:
    min_replicas: 1
    max_replicas: 5
    target_cpu_utilization: 80

2. Advanced Data Processing¶

Encryption Integration¶

interface EncryptionConfig {
  scheme: "CKKS" | "BFV";
  parameters: {
    poly_modulus_degree: number;
    coeff_modulus_bits: number[];
    scale: number;
  };
  keys: {
    public: string;
    private?: string;
    relinearization: string;
  };
}

// Example encryption setup
async function setupEncryption(): Promise<EncryptionConfig> {
  const config: EncryptionConfig = {
    scheme: "CKKS",
    parameters: {
      poly_modulus_degree: 8192,
      coeff_modulus_bits: [60, 40, 40, 60],
      scale: Math.pow(2, 40),
    },
    keys: await generateKeys(),
  };

  return config;
}

Pipeline Configuration¶

processing_pipeline:
  stages:
    - name: data_validation
      type: validation
      config:
        schema_check: true
        data_quality: true

    - name: preprocessing
      type: transform
      config:
        operations:
          - normalize
          - handle_missing
          - encode_categorical

    - name: encryption
      type: security
      config:
        scheme: CKKS
        key_rotation: true

    - name: processing
      type: compute
      config:
        operations:
          - aggregate
          - analyze
          - predict

Advanced Tutorials¶

1. Building Secure Data Pipelines¶

Security Configuration¶

interface SecurityConfig {
  encryption: {
    in_transit: boolean;
    at_rest: boolean;
    in_use: boolean;
  };
  authentication: {
    type: string;
    config: Record<string, any>;
  };
  authorization: {
    type: string;
    policies: Record<string, any>;
  };
}

// Example security implementation
class SecurePipeline {
  private config: SecurityConfig;

  constructor(config: SecurityConfig) {
    this.config = config;
  }

  async process(data: any): Promise<any> {
    // 1. Authenticate
    await this.authenticate();

    // 2. Authorize
    await this.checkPermissions();

    // 3. Encrypt
    const encryptedData = await this.encrypt(data);

    // 4. Process
    const result = await this.processSecurely(encryptedData);

    // 5. Decrypt
    return this.decrypt(result);
  }
}

Monitoring Setup¶

security_monitoring:
  metrics:
    - encryption_status
    - access_attempts
    - authorization_failures
    - data_integrity

  alerts:
    - name: unauthorized_access
      condition: access_attempts > 3
      severity: high

    - name: encryption_failure
      condition: encryption_status != "active"
      severity: critical

2. Implementing Multi-Agent Systems¶

Agent Communication¶

interface Message {
  type: string;
  sender: string;
  receiver: string;
  payload: any;
  metadata: {
    timestamp: Date;
    priority: number;
    encrypted: boolean;
  };
}

// Example agent communication
class AgentNetwork {
  private agents: Map<string, Agent>;

  async sendMessage(message: Message): Promise<void> {
    // 1. Validate message
    this.validateMessage(message);

    // 2. Encrypt if needed
    const secureMessage = await this.secureMessage(message);

    // 3. Route message
    await this.routeMessage(secureMessage);

    // 4. Confirm delivery
    await this.confirmDelivery(message.id);
  }
}

Coordination Configuration¶

agent_coordination:
  topology:
    type: mesh
    connections:
      - from: agent1
        to: [agent2, agent3]
      - from: agent2
        to: [agent1, agent3]
      - from: agent3
        to: [agent1, agent2]

  protocols:
    - type: consensus
      algorithm: raft
      config:
        election_timeout: 1s
        heartbeat_interval: 100ms

    - type: discovery
      method: multicast
      interval: 5s

Best Practices¶

1. Development¶

Follow security guidelines
Implement proper error handling
Use type checking
Write comprehensive tests

2. Deployment¶

Use container orchestration
Implement monitoring
Configure proper resource limits
Enable auto-scaling

3. Security¶

Enable encryption
Implement access control
Monitor security events
Regular security updates

4. Performance¶

Optimize resource usage
Implement caching
Use connection pooling
Monitor performance metrics

Next Steps¶

Try the Basic Tutorials
Explore Intermediate Tutorials
Attempt Advanced Tutorials
Review Best Practices
Check API Documentation

Support¶

Need help with tutorials?

Join our Discord
Check Documentation
Contact Support
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