How AI Agents Communicate: Protocols and Implementation

Photo by Pavan Trikutam on Unsplash

Hey there! 👋 Welcome back to our AI agents series. Today, we’re diving into something super cool — making agents talk to each other. If you haven’t checked out the previous articles, you might want to give them a quick read first.

Previous Articles: ( Day 1, Day 2)

What We’re Building

We’re creating a multi-agent system where agents can:

• Send and receive messages
• Coordinate on tasks
• Share information
• Handle communication failures
• Make collective decisions

Let’s see how it works!

The Basics: Message Passing

First, let’s build a simple messaging system:

from dataclasses import dataclass
from typing import List, Dict, Any
from enum import Enum
import uuid
import time
from queue import Queue

class MessageType(Enum):
    REQUEST = "request"
    RESPONSE = "response"
    BROADCAST = "broadcast"
    ERROR = "error"

@dataclass
class Message:
    sender_id: str
    receiver_id: str
    message_type: MessageType
    content: Any
    conversation_id: str = None
    timestamp: float = None
    
    def __post_init__(self):
        if not…