A2A Adapter

This guide will help you implement Covia with Agent-to-Agent (A2A) communication protocols to enable intelligent multi-agent systems.

Overview

Agent-to-Agent (A2A) communication enables multiple AI agents to collaborate, share information, and coordinate tasks. Covia's A2A integration provides:

• Secure inter-agent communication channels
• Coordinated decision-making capabilities
• Shared context and knowledge bases
• Scalable multi-agent architectures

Prerequisites

Before you begin, ensure you have:

• Covia account and API credentials
• Understanding of agent-based systems
• Basic knowledge of distributed systems

Setup

1. Install Covia A2A Library

npm install @covia/a2a-client

2. Configure Agent Network

Create a configuration for your agent network:

// a2a-config.js
module.exports = {
  covia: {
    apiKey: process.env.COVIA_API_KEY,
    baseUrl: 'https://api.covia.ai',
    networkId: 'your-network-id'
  },
  agents: {
    coordinator: {
      id: 'coordinator-agent',
      role: 'coordinator',
      capabilities: ['task_delegation', 'resource_allocation']
    },
    worker: {
      id: 'worker-agent',
      role: 'worker',
      capabilities: ['data_processing', 'analysis']
    },
    monitor: {
      id: 'monitor-agent',
      role: 'monitor',
      capabilities: ['system_monitoring', 'alerting']
    }
  }
};

3. Initialize Agent Communication

import { CoviaA2AClient } from '@covia/a2a-client';

const a2aClient = new CoviaA2AClient({
  config: require('./a2a-config.js')
});

// Register your agent
await a2aClient.registerAgent({
  id: 'my-agent',
  role: 'worker',
  capabilities: ['data_processing']
});

Usage Examples

Agent Communication

// Example: Sending messages between agents
const message = {
  type: 'task_request',
  content: {
    task: 'analyze_market_data',
    parameters: {
      timeframe: '24h',
      symbols: ['AAPL', 'GOOGL']
    }
  },
  targetAgent: 'worker-agent'
};

const response = await a2aClient.sendMessage(message);

Coordinated Decision Making

// Example: Multi-agent decision process
const decisionRequest = {
  type: 'decision_request',
  content: {
    decision: 'investment_allocation',
    options: ['conservative', 'moderate', 'aggressive'],
    context: {
      market_conditions: 'bullish',
      risk_tolerance: 'medium'
    }
  },
  participants: ['coordinator-agent', 'worker-agent', 'monitor-agent']
};

const consensus = await a2aClient.requestConsensus(decisionRequest);

Shared Context Management

// Example: Sharing context across agents
const sharedContext = {
  marketData: {
    timestamp: Date.now(),
    indicators: {
      volatility: 0.15,
      trend: 'upward'
    }
  },
  agentStates: {
    'worker-agent': 'processing',
    'monitor-agent': 'active'
  }
};

await a2aClient.updateSharedContext(sharedContext);

Best Practices

1. Agent Design: Design agents with clear, single responsibilities
2. Message Routing: Implement proper message routing and filtering
3. Error Handling: Handle communication failures gracefully
4. Security: Implement authentication and authorization for agent interactions
5. Monitoring: Monitor agent health and communication patterns

Advanced Features

Dynamic Agent Discovery

// Discover available agents in the network
const availableAgents = await a2aClient.discoverAgents({
  capabilities: ['data_processing'],
  status: 'available'
});

Load Balancing

// Distribute tasks across multiple agents
const taskDistribution = await a2aClient.distributeTask({
  task: 'process_large_dataset',
  strategy: 'round_robin',
  agents: ['worker-1', 'worker-2', 'worker-3']
});

Troubleshooting

Common Issues

• Agent Registration Failures: Check network connectivity and API credentials
• Message Delivery Issues: Verify agent IDs and network topology
• Performance Problems: Monitor agent load and implement proper scaling

Debugging

// Enable debug logging
a2aClient.setLogLevel('debug');

// Monitor agent communication
a2aClient.on('message', (message) => {
  console.log('Message received:', message);
});