Agent-to-agent communication standards in Agentic Ai

Introduction

Agent-to-agent communication standards help different AI agents talk to each other clearly and work together smoothly.

When multiple AI agents need to share information to solve a problem together.

When building a system where different AI tools must cooperate without confusion.

When you want to make sure AI agents understand each other's messages correctly.

When creating AI assistants that pass tasks between each other.

When developing smart systems that combine skills from different AI agents.

Syntax

Agentic_ai

message = {
    'sender': 'AgentA',
    'receiver': 'AgentB',
    'type': 'request',
    'content': 'Please analyze this data',
    'timestamp': '2024-06-01T12:00:00Z'
}

The message is usually a structured object like a dictionary or JSON.

Common fields include sender, receiver, message type, content, and timestamp.

Examples

This message is a response from Agent1 to Agent2 with a result value.

Agentic_ai

message = {
    'sender': 'Agent1',
    'receiver': 'Agent2',
    'type': 'response',
    'content': {'result': 42},
    'timestamp': '2024-06-01T12:05:00Z'
}

This message notifies that a task is done.

Agentic_ai

message = {
    'sender': 'AgentX',
    'receiver': 'AgentY',
    'type': 'notification',
    'content': 'Task completed',
    'timestamp': '2024-06-01T12:10:00Z'
}

Sample Program

This code shows how two agents create and send messages using a standard format with sender, receiver, type, content, and timestamp.

Agentic_ai

import datetime

def create_message(sender, receiver, msg_type, content):
    return {
        'sender': sender,
        'receiver': receiver,
        'type': msg_type,
        'content': content,
        'timestamp': datetime.datetime.utcnow().isoformat() + 'Z'
    }

# Agent A sends a request to Agent B
message1 = create_message('AgentA', 'AgentB', 'request', 'Please classify this text')
print('Message sent by AgentA:')
print(message1)

# Agent B replies with a response
message2 = create_message('AgentB', 'AgentA', 'response', {'classification': 'positive'})
print('\nMessage sent by AgentB:')
print(message2)

Important Notes

Always include a timestamp to know when the message was sent.

Use clear message types like 'request', 'response', or 'notification' to avoid confusion.

Keep the message content simple and structured for easy understanding.

Summary

Agent-to-agent communication standards make AI agents understand each other.

Messages usually have sender, receiver, type, content, and timestamp.

Clear communication helps agents work together better.