Inter-agent communication
When agents need to collaborate without a fixed pipeline, they need a way to send messages to each other. The inter-agent communication pattern provides a hub where agents can send, receive, and process messages, enabling dynamic collaboration.
Communication hub architecture
Multi-agent coordination uses a fixed pipeline (A then B then C). Inter-agent communication is dynamic: any agent can message any other agent through a hub, enabling flexible collaboration without a predefined order.
class Message:
def __init__(self, sender, recipient, content, msg_type="request"):
self.sender = sender
self.recipient = recipient
self.content = content
self.msg_type = msg_type
class CommunicationHub:
def __init__(self):
self.agents = {}
self.message_history = []
def register_agent(self, agent):
self.agents[agent.name] = agent
def send_message(self, sender, recipient, content, msg_type="request"):
message = Message(sender, recipient, content, msg_type)
self.agents[recipient].receive_message(message)
self.message_history.append(message)
return message
def process_all_messages(self):
responses = []
for agent in self.agents.values():
agent_responses = agent.process_messages()
responses.extend(agent_responses)
# Deliver responses back
for response in responses:
self.agents[response.recipient].receive_message(response)A CommunicationHub that routes messages between named agents.
Quiz: Quiz
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Matching exercise: Match communication concepts
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Flashcards: Flashcards
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Your agents can now communicate dynamically through a message hub. Next, we will optimize resource usage by routing tasks to the right model based on complexity.