Spring AI Alibaba 支持A2A协议：从入门到精通
✨步子哥 (steper) •
2025年10月20日 12:15
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<h1>Spring AI Alibaba 支持A2A协议：从入门到精通</h1>
<p>探索Spring AI Alibaba框架如何实现Agent-to-Agent协议，构建多智能体协作系统</p>
</div>
<!-- 第一部分：Spring AI Alibaba概述 -->
<div class="section">
<h2 class="section-title">
<i class="material-icons">integration_instructions</i>
Spring AI Alibaba概述
</h2>
<div class="section-content">
<p>Spring AI Alibaba是基于Spring AI构建的AI应用开发框架，专为Java开发者设计，旨在简化AI应用的开发流程。它与阿里云通义系列模型深度集成，提供高层次的AI API抽象与云原生基础设施集成方案。</p>
<h3 class="sub-title">
<i class="material-icons">stars</i>
核心特性
</h3>
<ul>
<li><span class="highlight">API抽象</span>：提供标准化的API接口，简化AI模型服务的接入与使用</li>
<li><span class="highlight">多模型支持</span>：支持多种大模型服务对接能力，包括聊天、文生图、音频转录、文生语音等</li>
<li><span class="highlight">灵活调用</span>：支持同步和流式API，在保持应用层API不变的情况下支持灵活切换底层模型服务</li>
<li><span class="highlight">企业级特性</span>：提供可观测、网关、消息队列、配置中心等开源配套</li>
<li><span class="highlight">智能体框架</span>：内置Graph多智能体框架，支持工作流和多智能体应用开发</li>
</ul>
<h3 class="sub-title">
<i class="material-icons">architecture</i>
架构设计
</h3>
<p>Spring AI Alibaba的架构设计充分考虑了AI应用的特点和需求，主要包括以下组件：</p>
<ul>
<li><span class="highlight">模型抽象层</span>：统一不同模态模型的访问接口</li>
<li><span class="highlight">服务适配层</span>：深度对接通义系列大模型</li>
<li><span class="highlight">生产就绪特性</span>：自动配置、健康检查、监控指标</li>
<li><span class="highlight">企业级扩展</span>：支持私有化部署和混合云架构</li>
</ul>
</div>
</div>
<!-- 第二部分：A2A协议详解 -->
<div class="section">
<h2 class="section-title">
<i class="material-icons">hub</i>
A2A协议详解
</h2>
<div class="section-content">
<p>Agent-to-Agent(A2A)协议是由Google在2025年4月正式推出的开放标准通信协议，旨在解决不同AI智能体之间的互操作性问题。该协议为异构AI系统提供了一套统一的交互规范，使来自不同平台、不同供应商的智能体能够像人类团队一样进行有效协作。</p>
<h3 class="sub-title">
<i class="material-icons">settings</i>
核心组件
</h3>
<p>A2A协议包含以下核心组件，共同构成智能体间协作的基础设施：</p>
<ul>
<li><span class="highlight">AgentCard</span>：服务发现机制，用于智能体声明自身能力和接口</li>
<li><span class="highlight">Task</span>：工作单元，定义智能体需要完成的任务</li>
<li><span class="highlight">Message</span>：通信载体，承载智能体间的交互信息</li>
<li><span class="highlight">Artifact</span>：输出结果，表示任务执行产生的数据或对象</li>
</ul>
<h3 class="sub-title">
<i class="material-icons">design_services</i>
设计原则
</h3>
<p>A2A协议的设计遵循以下核心原则，确保协议的灵活性和可靠性：</p>
<ul>
<li><span class="highlight">不透明执行原则</span>：智能体之间仅交换完成任务所必需的上下文、状态、指令和原生模态数据，而不暴露其内部工作机制</li>
<li><span class="highlight">开放标准原则</span>：基于HTTP、SSE和JSON-RPC等成熟Web标准构建，大幅降低实现和集成门槛</li>
<li><span class="highlight">默认安全原则</span>：内置身份验证、数据加密、隐私保护和监控功能</li>
<li><span class="highlight">异步优先原则</span>：原生支持长时间运行的任务和实时状态更新机制</li>
</ul>
<h3 class="sub-title">
<i class="material-icons">sync_alt</i>
通信机制
</h3>
<p>A2A协议采用HTTP/HTTPS传输层和JSON-RPC2.0消息格式，支持多种通信模式：</p>
<ul>
<li><span class="highlight">同步通信</span>：适用于快速响应场景，客户端发送请求后等待服务器响应</li>
<li><span class="highlight">流式通信</span>：基于Server-Sent Events(SSE)实现，适用于实时数据推送</li>
<li><span class="highlight">异步通信</span>：通过Webhook机制实现，适用于长时间运行的任务</li>
</ul>
<div class="quote-block">
A2A协议的出现标志着AI技术发展进入了一个新阶段——从单一智能体的能力提升转向多智能体系统的协同增效。
</div>
</div>
</div>
<!-- 第三部分：Spring AI Alibaba对A2A协议的支持 -->
<div class="section">
<h2 class="section-title">
<i class="material-icons">handshake</i>
Spring AI Alibaba对A2A协议的支持
</h2>
<div class="section-content">
<p>Spring AI Alibaba通过其多智能体框架Graph和企业级AI代理解决方案，全面支持A2A协议的实现，为开发者提供了构建多智能体协作系统的强大工具。</p>
<h3 class="sub-title">
<i class="material-icons">account_tree</i>
多智能体框架Graph
</h3>
<p>Graph是Spring AI Alibaba社区核心实现之一，基于图的多智能体框架，使开发者能够轻松构建工作流和多智能体应用。其设计理念借鉴LangGraph，可以理解为Java版的LangGraph实现。</p>
<p>Graph的核心能力包括：</p>
<ul>
<li><span class="highlight">Multi-agent支持</span>：内置ReAct Agent、Supervisor等常规智能体模式</li>
<li><span class="highlight">工作流支持</span>：内置工作流节点，支持复杂业务流程编排</li>
<li><span class="highlight">状态管理</span>：简化State定义过程，支持智能体间状态共享</li>
<li><span class="highlight">低代码集成</span>：提供预置Node，降低开发门槛</li>
</ul>
<h3 class="sub-title">
<i class="material-icons">business</i>
企业级AI代理解决方案
</h3>
<p>Spring AI Alibaba提供了一系列企业级AI代理解决方案，支持A2A协议在企业环境中的落地：</p>
<ul>
<li><span class="highlight">Nacos MCP注册表</span>：实现智能体的分布式注册与发现</li>
<li><span class="highlight">分布式MCP发现和负载均衡</span>：确保智能体服务的高可用性</li>
<li><span class="highlight">动态API到MCP代理</span>：实现传统API与智能体服务的无缝转换</li>
<li><span class="highlight">NL2SQL</span>：将自然语言查询转换为SQL语句，扩展智能体数据处理能力</li>
<li><span class="highlight">可观测性</span>：提供全面的监控和日志记录能力</li>
</ul>
<h3 class="sub-title">
<i class="material-icons">compare_arrows</i>
与MCP协议的互补
</h3>
<p>Spring AI Alibaba同时支持A2A协议和MCP协议(Model Context Protocol)，两者形成互补关系：</p>
<ul>
<li><span class="highlight">MCP协议</span>：主要处理智能体与外部工具和数据源之间的垂直连接</li>
<li><span class="highlight">A2A协议</span>：专注于智能体之间的任务分配与协作</li>
</ul>
<div class="quote-block">
用形象的比喻来说："MCP如'USB-C接口'，连接agent与其资源；A2A如'网线'，连接agent与agent"。这两种协议共同构成了AI智能体与外界交互的完整技术栈。
</div>
</div>
</div>
<!-- 第四部分：实现原理与架构 -->
<div class="section">
<h2 class="section-title">
<i class="material-icons">schema</i>
实现原理与架构
</h2>
<div class="section-content">
<p>深入理解Spring AI Alibaba对A2A协议支持的实现原理与架构，有助于开发者更好地构建多智能体协作系统。</p>
<h3 class="sub-title">
<i class="material-icons">layers</i>
Spring AI Alibaba架构设计
</h3>
<p>Spring AI Alibaba的架构设计遵循分层原则，确保各组件之间的松耦合和高内聚：</p>
<div class="table-container">
<table>
<thead>
<tr>
<th>架构层</th>
<th>组件</th>
<th>功能</th>
</tr>
</thead>
<tbody>
<tr>
<td>应用层</td>
<td>ChatClient、Graph API</td>
<td>提供高级API，简化应用开发</td>
</tr>
<tr>
<td>抽象层</td>
<td>ChatModel、Prompt、Tool</td>
<td>定义AI应用的核心抽象概念</td>
</tr>
<tr>
<td>适配层</td>
<td>DashScopeAdapter、MCPAdapter</td>
<td>实现与底层服务的适配</td>
</tr>
<tr>
<td>基础设施层</td>
<td>Nacos、RocketMQ、ARMS</td>
<td>提供云原生基础设施支持</td>
</tr>
</tbody>
</table>
</div>
<h3 class="sub-title">
<i class="material-icons">route</i>
A2A协议通信流程
</h3>
<p>基于Spring AI Alibaba实现的A2A协议通信流程主要包括以下步骤：</p>
<ol class="step-list">
<li>
<strong>服务发现</strong>：智能体通过AgentCard声明自身能力，注册到Nacos MCP注册中心
</li>
<li>
<strong>任务创建</strong>：客户端智能体根据任务需求，通过MCP发现合适的远程智能体
</li>
<li>
<strong>任务执行</strong>：客户端智能体创建Task，通过Message传递给远程智能体
</li>
<li>
<strong>结果返回</strong>：远程智能体执行任务，生成Artifact并返回给客户端智能体
</li>
</ol>
<h3 class="sub-title">
<i class="material-icons">security</i>
安全机制
</h3>
<p>Spring AI Alibaba内置了全面的安全机制，确保A2A协议通信的安全性：</p>
<ul>
<li><span class="highlight">身份认证</span>：支持OAuth/JWT等标准机制，确保只有经过授权的智能体才能参与协作</li>
<li><span class="highlight">数据加密</span>：强制使用TLS加密，防止敏感信息在通信过程中被窃取或篡改</li>
<li><span class="highlight">权限控制</span>：通过"Agent Card"明确声明服务权限，实现最小特权原则</li>
<li><span class="highlight">审计日志</span>：记录所有智能体间的交互，支持安全审计和问题追踪</li>
</ul>
</div>
</div>
<!-- 第五部分：Demo示例 -->
<div class="section">
<h2 class="section-title">
<i class="material-icons">code</i>
Demo示例
</h2>
<div class="section-content">
<p>以下示例展示了如何使用Spring AI Alibaba实现基于A2A协议的多智能体协作系统。</p>
<h3 class="sub-title">
<i class="material-icons">integration_instructions</i>
基础配置
</h3>
<p>首先，需要在项目中添加Spring AI Alibaba依赖：</p>
<div class="code-block">
<pre><code><span class="code-comment"><!-- pom.xml --></span>
<span class="code-keyword"><dependency></span>
<span class="code-keyword"><groupId></span>com.alibaba.cloud.ai<span class="code-keyword"></groupId></span>
<span class="code-keyword"><artifactId></span>spring-ai-alibaba-starter<span class="code-keyword"></artifactId></span>
<span class="code-keyword"><version></span>1.0.0.2<span class="code-keyword"></version></span>
<span class="code-keyword"></dependency></span></code></pre>
</div>
<p>然后，在application.yml中配置A2A协议相关参数：</p>
<div class="code-block">
<pre><code><span class="code-comment"># application.yml</span>
<span class="code-keyword">spring:</span>
<span class="code-keyword">ai:</span>
<span class="code-keyword">alibaba:</span>
<span class="code-keyword">dashscope:</span>
<span class="code-variable">api-key</span>: ${<span class="code-variable">DASHSCOPE_API_KEY</span>}
<span class="code-keyword">a2a:</span>
<span class="code-variable">enabled</span>: <span class="code-keyword">true</span>
<span class="code-variable">agent-id</span>: <span class="code-string">"customer-service-agent"</span>
<span class="code-variable">registry</span>:
<span class="code-variable">type</span>: <span class="code-string">"nacos"</span>
<span class="code-variable">server-addr</span>: <span class="code-string">"localhost:8848"</span></code></pre>
</div>
<h3 class="sub-title">
<i class="material-icons">smart_toy</i>
创建智能体
</h3>
<p>以下代码展示了如何创建一个支持A2A协议的智能体：</p>
<div class="code-block">
<pre><code><span class="code-keyword">@Component</span>
<span class="code-keyword">public class</span> <span class="code-function">CustomerServiceAgent</span> {
<span class="code-keyword">private final</span> ChatModel chatModel;
<span class="code-keyword">private final</span> A2AClient a2aClient;
<span class="code-keyword">public</span> <span class="code-function">CustomerServiceAgent</span>(ChatModel chatModel, A2AClient a2aClient) {
<span class="code-keyword">this</span>.chatModel = chatModel;
<span class="code-keyword">this</span>.a2aClient = a2aClient;
}
<span class="code-comment">// 定义智能体能力</span>
<span class="code-keyword">@PostConstruct</span>
<span class="code-keyword">public void</span> <span class="code-function">registerAgent</span>() {
AgentCard agentCard = AgentCard.builder()
.agentId(<span class="code-string">"customer-service-agent"</span>)
.name(<span class="code-string">"客户服务智能体"</span>)
.description(<span class="code-string">"处理客户咨询和投诉"</span>)
.capabilities(List.of(
Capability.builder()
.name(<span class="code-string">"handle_inquiry"</span>)
.description(<span class="code-string">"处理客户咨询"</span>)
.inputSchema(<span class="code-string">"{\"type\":\"object\",\"properties\":{\"query\":{\"type\":\"string\"}}}"</span>)
.outputSchema(<span class="code-string">"{\"type\":\"object\",\"properties\":{\"response\":{\"type\":\"string\"}}}"</span>)
.build()
))
.build();
a2aClient.registerAgent(agentCard);
}
<span class="code-comment">// 处理A2A任务</span>
<span class="code-keyword">@A2ATaskHandler</span>(<span class="code-string">"handle_inquiry"</span>)
<span class="code-keyword">public</span> TaskResult <span class="code-function">handleInquiry</span>(Task task) {
String query = (String) task.getInput().get(<span class="code-string">"query"</span>);
<span class="code-comment">// 使用大模型处理客户咨询</span>
Prompt prompt = <span class="code-keyword">new</span> Prompt(<span class="code-string">"作为客户服务代表，请回答以下问题："</span> + query);
ChatResponse response = chatModel.call(prompt);
<span class="code-comment">// 返回处理结果</span>
Map<String, Object> output = <span class="code-keyword">new</span> HashMap<>();
output.put(<span class="code-string">"response"</span>, response.getResult().getOutput().getContent());
<span class="code-keyword">return</span> TaskResult.builder()
.taskId(task.getTaskId())
.status(TaskStatus.COMPLETED)
.output(output)
.build();
}
}</code></pre>
</div>
<h3 class="sub-title">
<i class="material-icons">swap_horiz</i>
智能体协作
</h3>
<p>以下代码展示了如何实现智能体间的协作：</p>
<div class="code-block">
<pre><code><span class="code-keyword">@Service</span>
<span class="code-keyword">public class</span> <span class="code-function">OrderProcessingService</span> {
<span class="code-keyword">private final</span> A2AClient a2aClient;
<span class="code-keyword">private final</span> ChatModel chatModel;
<span class="code-keyword">public</span> <span class="code-function">OrderProcessingService</span>(A2AClient a2aClient, ChatModel chatModel) {
<span class="code-keyword">this</span>.a2aClient = a2aClient;
<span class="code-keyword">this</span>.chatModel = chatModel;
}
<span class="code-keyword">public</span> OrderResult <span class="code-function">processOrder</span>(OrderRequest orderRequest) {
<span class="code-comment">// 1. 使用库存智能体检查库存</span>
Task inventoryTask = Task.builder()
.taskType(<span class="code-string">"check_inventory"</span>)
.input(Map.of(
<span class="code-string">"productId"</span>, orderRequest.getProductId(),
<span class="code-string">"quantity"</span>, orderRequest.getQuantity()
))
.build();
TaskResult inventoryResult = a2aClient.invokeAgent(<span class="code-string">"inventory-agent"</span>, inventoryTask);
<span class="code-keyword">if</span> (!inventoryResult.getStatus().equals(TaskStatus.COMPLETED)) {
<span class="code-keyword">return</span> OrderResult.failure(<span class="code-string">"库存检查失败"</span>);
}
Boolean inStock = (Boolean) inventoryResult.getOutput().get(<span class="code-string">"inStock"</span>);
<span class="code-keyword">if</span> (!inStock) {
<span class="code-comment">// 2. 如果库存不足，使用采购智能体发起采购</span>
Task purchaseTask = Task.builder()
.taskType(<span class="code-string">"request_purchase"</span>)
.input(Map.of(
<span class="code-string">"productId"</span>, orderRequest.getProductId(),
<span class="code-string">"quantity"</span>, orderRequest.getQuantity()
))
.build();
TaskResult purchaseResult = a2aClient.invokeAgent(<span class="code-string">"purchase-agent"</span>, purchaseTask);
<span class="code-keyword">if</span> (!purchaseResult.getStatus().equals(TaskStatus.COMPLETED)) {
<span class="code-keyword">return</span> OrderResult.failure(<span class="code-string">"采购请求失败"</span>);
}
}
<span class="code-comment">// 3. 使用物流智能体安排配送</span>
Task logisticsTask = Task.builder()
.taskType(<span class="code-string">"arrange_delivery"</span>)
.input(Map.of(
<span class="code-string">"productId"</span>, orderRequest.getProductId(),
<span class="code-string">"quantity"</span>, orderRequest.getQuantity(),
<span class="code-string">"address"</span>, orderRequest.getDeliveryAddress()
))
.build();
TaskResult logisticsResult = a2aClient.invokeAgent(<span class="code-string">"logistics-agent"</span>, logisticsTask);
<span class="code-keyword">if</span> (!logisticsResult.getStatus().equals(TaskStatus.COMPLETED)) {
<span class="code-keyword">return</span> OrderResult.failure(<span class="code-string">"配送安排失败"</span>);
}
String trackingNumber = (String) logisticsResult.getOutput().get(<span class="code-string">"trackingNumber"</span>);
<span class="code-comment">// 4. 使用客户服务智能体发送确认通知</span>
Task notificationTask = Task.builder()
.taskType(<span class="code-string">"send_notification"</span>)
.input(Map.of(
<span class="code-string">"customerId"</span>, orderRequest.getCustomerId(),
<span class="code-string">"message"</span>, <span class="code-string">"您的订单已处理，物流单号："</span> + trackingNumber
))
.build();
a2aClient.invokeAgent(<span class="code-string">"customer-service-agent"</span>, notificationTask);
<span class="code-keyword">return</span> OrderResult.success(trackingNumber);
}
}</code></pre>
</div>
<h3 class="sub-title">
<i class="material-icons">account_tree</i>
使用Graph构建工作流
</h3>
<p>以下代码展示了如何使用Spring AI Alibaba的Graph框架构建多智能体工作流：</p>
<div class="code-block">
<pre><code><span class="code-keyword">@Configuration</span>
<span class="code-keyword">public class</span> <span class="code-function">OrderProcessingWorkflow</span> {
<span class="code-keyword">@Bean</span>
<span class="code-keyword">public</span> Graph <span class="code-function">orderProcessingGraph</span>(A2AClient a2aClient) {
<span class="code-keyword">return</span> Graph.builder()
.id(<span class="code-string">"order-processing-workflow"</span>)
.nodes(
<span class="code-comment">// 检查库存节点</span>
Node.builder()
.id(<span class="code-string">"check-inventory"</span>)
.type(NodeType.AGENT)
.agentId(<span class="code-string">"inventory-agent"</span>)
.taskType(<span class="code-string">"check_inventory"</span>)
.build(),
<span class="code-comment">// 采购节点</span>
Node.builder()
.id(<span class="code-string">"request-purchase"</span>)
.type(NodeType.AGENT)
.agentId(<span class="code-string">"purchase-agent"</span>)
.taskType(<span class="code-string">"request_purchase"</span>)
.build(),
<span class="code-comment">// 安排配送节点</span>
Node.builder()
.id(<span class="code-string">"arrange-delivery"</span>)
.type(NodeType.AGENT)
.agentId(<span class="code-string">"logistics-agent"</span>)
.taskType(<span class="code-string">"arrange_delivery"</span>)
.build(),
<span class="code-comment">// 发送通知节点</span>
Node.builder()
.id(<span class="code-string">"send-notification"</span>)
.type(NodeType.AGENT)
.agentId(<span class="code-string">"customer-service-agent"</span>)
.taskType(<span class="code-string">"send_notification"</span>)
.build(),
<span class="code-comment">// 条件判断节点</span>
Node.builder()
.id(<span class="code-string">"check-stock-condition"</span>)
.type(NodeType.CONDITION)
.conditionFunction(state -> {
Boolean inStock = (Boolean) state.get(<span class="code-string">"inStock"</span>);
<span class="code-keyword">return</span> inStock ? <span class="code-string">"arrange-delivery"</span> : <span class="code-string">"request-purchase"</span>;
})
.build()
)
.edges(
Edge.builder()
.source(<span class="code-string">"check-inventory"</span>)
.target(<span class="code-string">"check-stock-condition"</span>)
.build(),
Edge.builder()
.source(<span class="code-string">"check-stock-condition"</span>)
.target(<span class="code-string">"arrange-delivery"</span>)
.condition(<span class="code-string">"arrange-delivery"</span>)
.build(),
Edge.builder()
.source(<span class="code-string">"check-stock-condition"</span>)
.target(<span class="code-string">"request-purchase"</span>)
.condition(<span class="code-string">"request-purchase"</span>)
.build(),
Edge.builder()
.source(<span class="code-string">"request-purchase"</span>)
.target(<span class="code-string">"arrange-delivery"</span>)
.build(),
Edge.builder()
.source(<span class="code-string">"arrange-delivery"</span>)
.target(<span class="code-string">"send-notification"</span>)
.build()
)
.build();
}
<span class="code-keyword">@Service</span>
<span class="code-keyword">public class</span> <span class="code-function">OrderProcessingService</span> {
<span class="code-keyword">private final</span> Graph orderProcessingGraph;
<span class="code-keyword">public</span> <span class="code-function">OrderProcessingService</span>(Graph orderProcessingGraph) {
<span class="code-keyword">this</span>.orderProcessingGraph = orderProcessingGraph;
}
<span class="code-keyword">public</span> OrderResult <span class="code-function">processOrder</span>(OrderRequest orderRequest) {
<span class="code-comment">// 初始化工作流状态</span>
Map<String, Object> initialState = <span class="code-keyword">new</span> HashMap<>();
initialState.put(<span class="code-string">"productId"</span>, orderRequest.getProductId());
initialState.put(<span class="code-string">"quantity"</span>, orderRequest.getQuantity());
initialState.put(<span class="code-string">"address"</span>, orderRequest.getDeliveryAddress());
initialState.put(<span class="code-string">"customerId"</span>, orderRequest.getCustomerId());
<span class="code-comment">// 执行工作流</span>
GraphExecutionResult result = orderProcessingGraph.execute(initialState);
<span class="code-keyword">if</span> (result.getStatus() == ExecutionStatus.COMPLETED) {
String trackingNumber = (String) result.getFinalState().get(<span class="code-string">"trackingNumber"</span>);
<span class="code-keyword">return</span> OrderResult.success(trackingNumber);
} <span class="code-keyword">else</span> {
<span class="code-keyword">return</span> OrderResult.failure(result.getErrorMessage());
}
}
}
}</code></pre>
</div>
<h3 class="sub-title">
<i class="material-icons">tips_and_updates</i>
最佳实践
</h3>
<p>在使用Spring AI Alibaba实现A2A协议时，建议遵循以下最佳实践：</p>
<ul>
<li><span class="highlight">合理设计智能体边界</span>：确保每个智能体职责单一，避免功能重叠</li>
<li><span class="highlight">实现幂等性</span>：确保智能体处理的任务具有幂等性，便于重试和错误恢复</li>
<li><span class="highlight">添加超时机制</span>：为智能体间的通信设置合理的超时时间，防止系统阻塞</li>
<li><span class="highlight">实现断路器模式</span>：当某个智能体不可用时，快速失败并提供降级方案</li>
<li><span class="highlight">记录详细日志</span>：记录智能体间的交互日志，便于问题排查和系统优化</li>
</ul>
</div>
</div>
<!-- 结论部分 -->
<div class="section">
<h2 class="section-title">
<i class="material-icons">summarize</i>
总结
</h2>
<div class="section-content">
<p>Spring AI Alibaba通过其多智能体框架Graph和企业级AI代理解决方案，为开发者提供了强大的工具来实现A2A协议。通过标准化的通信机制和灵活的架构设计，Spring AI Alibaba使开发者能够轻松构建多智能体协作系统，实现智能体间的无缝协同。</p>
<p>随着AI技术的不断发展，多智能体协作将成为AI应用的重要形态。Spring AI Alibaba对A2A协议的支持，为Java开发者在这一领域的探索提供了坚实的基础，助力企业构建更加智能、高效的AI应用系统。</p>
<div class="quote-block">
未来已来，Spring AI Alibaba与A2A协议的结合，将开启AI智能体协作的新纪元，为数字化转型注入强大动力。
</div>
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✨步子哥 (steper)
#1
10-20 12:23
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