Agent API design patterns in Agentic Ai

Introduction

Agent API design patterns help organize how AI agents communicate and work together. They make building smart systems easier and clearer.

When building a chatbot that needs to handle different tasks like answering questions and booking appointments.

When creating a system where multiple AI agents share information to solve a problem.

When designing an AI assistant that needs to follow clear steps to complete a user's request.

When you want to make your AI code easier to maintain and expand later.

When you need your AI agents to work in a predictable and reliable way.

Syntax

Agentic_ai

class Agent:
    def __init__(self, name):
        self.name = name

    def receive(self, message):
        # Process incoming message
        pass

    def send(self, message, other_agent):
        # Send message to another agent
        other_agent.receive(message)

    def act(self):
        # Perform agent's action
        pass

This is a simple pattern showing how agents send and receive messages.

Each agent has clear methods for communication and action.

Examples

An agent that replies back with the same message it got.

Agentic_ai

class EchoAgent(Agent):
    def receive(self, message):
        print(f"{self.name} received: {message}")
        self.send(f"Echo: {message}", other_agent)

An agent that manages or coordinates other agents' work.

Agentic_ai

class CoordinatorAgent(Agent):
    def act(self):
        print(f"{self.name} is coordinating tasks.")

Sample Program

This program shows two agents: one coordinates, the other echoes messages. The echo agent replies back when it receives a message.

Agentic_ai

class Agent:
    def __init__(self, name):
        self.name = name

    def receive(self, message):
        pass

    def send(self, message, other_agent):
        other_agent.receive(message)

    def act(self):
        pass

class EchoAgent(Agent):
    def receive(self, message):
        print(f"{self.name} received: {message}")
        self.send(f"Echo: {message}", other_agent)

class CoordinatorAgent(Agent):
    def receive(self, message):
        print(f"{self.name} received: {message}")
    def act(self):
        print(f"{self.name} is coordinating tasks.")

# Create agents
coordinator = CoordinatorAgent("Coordinator")
echo = EchoAgent("Echo")

# Link agents
other_agent = coordinator

# Run
coordinator.act()
echo.receive("Hello")

Important Notes

Design your agents with clear roles to keep communication simple.

Use message passing to let agents work independently but still cooperate.

Keep agent methods small and focused for easier debugging.

Summary

Agent API design patterns organize how AI agents talk and act.

They help build clear, maintainable, and cooperative AI systems.

Simple message passing and role definition are key ideas.