Agent Orchestration: Architectures, Implementation, and Best Practices

1class CentralOrchestrator:
2    def __init__(self):
3        self.agents = []
4
5    def add_agent(self, agent):
6        self.agents.append(agent)
7
8    def orchestrate(self, task):
9        for agent in self.agents:
10            agent.execute(task)
11

1# Conceptual illustration using message queues
2class Agent:
3    def __init__(self, message_queue):
4        self.message_queue = message_queue
5
6    def execute(self, task):
7        # Simulate sending a message to other agents
8        message = {"task": task, "sender": self}
9        self.message_queue.send(message)
10
11    def receive_message(self, message):
12        # Process the message and take action
13        print(f"Agent received message: {message}")
14

1# Sample agent implementation using Python and a chosen framework (Conceptual)
2class MyAgent:
3    def __init__(self, agent_id):
4        self.agent_id = agent_id
5
6    def perform_task(self, task_data):
7        print(f"Agent {self.agent_id} performing task: {task_data}")
8        # Add your agent's logic here
9        return "Task completed by agent " + self.agent_id
10
11    def communicate(self, message):
12        print(f"Agent {self.agent_id} received message: {message}")
13