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- from hello_agents.protocols import ANPDiscovery, register_service
- # 创建服务发现中心
- discovery = ANPDiscovery()
- # 注册Agent服务
- register_service(
- discovery=discovery,
- service_id="nlp_agent_1",
- service_name="NLP处理专家A",
- service_type="nlp",
- capabilities=["text_analysis", "sentiment_analysis", "ner"],
- endpoint="http://localhost:8001",
- metadata={"load": 0.3, "price": 0.01, "version": "1.0.0"}
- )
- register_service(
- discovery=discovery,
- service_id="nlp_agent_2",
- service_name="NLP处理专家B",
- service_type="nlp",
- capabilities=["text_analysis", "translation"],
- endpoint="http://localhost:8002",
- metadata={"load": 0.7, "price": 0.02, "version": "1.1.0"}
- )
- print("✅ 服务注册完成")
- from hello_agents.protocols import discover_service
- # 按类型查找
- nlp_services = discover_service(discovery, service_type="nlp")
- print(f"找到 {len(nlp_services)} 个NLP服务")
- # 选择负载最低的服务
- best_service = min(nlp_services, key=lambda s: s.metadata.get("load", 1.0))
- print(f"最佳服务:{best_service.service_name} (负载: {best_service.metadata['load']})")
- from hello_agents.protocols import ANPNetwork
- # 创建网络
- network = ANPNetwork(network_id="ai_cluster")
- # 添加节点
- for service in discovery.list_all_services():
- network.add_node(service.service_id, service.endpoint)
- # 建立连接(根据能力匹配)
- network.connect_nodes("nlp_agent_1", "nlp_agent_2")
- stats = network.get_network_stats()
- print(f"✅ 网络构建完成,共 {stats['total_nodes']} 个节点")
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