Inter-Agent Communication

Inter-Agent Communication defines the language and transport layer for agents to talk to each other. In a distributed system, Agent A (Booking) might run on a different server than Agent B (Payment). They need a standard way to find each other (Discovery), send requests (Messaging), and understand the data format (Protocol).

When to Use

• Microservices Architecture: Breaking a monolithic agent into smaller, deployable services.

• Ecosystem Integration: Allowing your agent to talk to agents built by other teams or companies.

• Asynchronous Tasks: "Fire and forget" tasks where Agent A sends a job to Agent B and checks back later.

• Load Balancing: Distributing tasks across a pool of identical agents.

Use Cases

• Agent Marketplace: An agent searches a registry to find a "Translation Agent" and hires it for a task.

• Supply Chain: A "Retail Agent" sends a restock order to a "Warehouse Agent", which confirms availability.

• Delegation: A "Personal Assistant Agent" delegates a math problem to a specialized "Wolfram Alpha Agent".

Implementation Pattern

Conceptual A2A (Agent-to-Agent) Interaction

class AgentA: def run(self): # Step 1: Discovery # Find an agent that supports the 'payment' skill payment_agent_url = directory.lookup(skill="process_payment")

    # Step 2: Messaging (HTTP/RPC)
    # Send a structured request
    payload = {
        "task": "pay_invoice",
        "amount": 100,
        "currency": "USD"
    }
    
    response = http.post(f"{payment_agent_url}/inbox", json=payload)
    
    # Step 3: Handle Response
    if response.status == "CONFIRMED":
        print("Payment successful")