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src/test/java/org/example/service/ChatAndEmbeddingSmokeTest.java

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+package org.example.service;
+
+import org.junit.jupiter.api.DisplayName;
+import org.junit.jupiter.api.Test;
+import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.tool.ToolCallback;
+import org.springframework.ai.tool.ToolCallbackProvider;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.boot.test.context.SpringBootTest;
+import org.springframework.boot.test.context.TestConfiguration;
+import org.springframework.context.ApplicationContext;
+import org.springframework.context.annotation.Bean;
+
+import static org.junit.jupiter.api.Assertions.*;
+
+/**
+ * Chat + Embedding 解耦验证测试
+ * <p>
+ * 验证 ChatModel Bean 注入、ModelRoutingConfig 路由、ChatService 接口兼容。
+ * Chat: DeepSeek via OpenAI-compatible API
+ * Embedding: Ollama BGE-M3 (需要本地 ollama 运行)
+ */
+@SpringBootTest
+@DisplayName("Chat + Embedding 解耦验证")
+class ChatAndEmbeddingSmokeTest {
+
+    @Autowired
+    private ApplicationContext context;
+
+    @Autowired
+    private ChatModel chatModel;
+
+    @Autowired
+    private ChatService chatService;
+
+    /**
+     * 提供 mock ToolCallbackProvider（MCP 已禁用时需要）
+     */
+    @TestConfiguration
+    static class MockToolConfig {
+        @Bean
+        public ToolCallbackProvider toolCallbackProvider() {
+            return () -> new ToolCallback[0];
+        }
+    }
+
+    @Test
+    @DisplayName("Spring 容器启动成功")
+    void contextLoads() {
+        assertNotNull(context, "Spring 容器应为非空");
+        assertNotNull(chatModel, "ChatModel Bean 应注入成功");
+        assertNotNull(chatService, "ChatService Bean 应注入成功");
+    }
+
+    @Test
+    @DisplayName("ModelRoutingConfig @Primary ChatModel 生效")
+    void chatModelPrimaryBeanWorks() {
+        assertNotNull(chatModel, "@Primary ChatModel 应被自动注入");
+        System.out.println("✓ ChatModel 类型: " + chatModel.getClass().getName());
+
+        // 验证路由到 openAiChatModel (DeepSeek)
+        assertTrue(context.containsBean("openAiChatModel"), "openAiChatModel 应存在");
+        System.out.println("  Chat → openAiChatModel (DeepSeek) ✓");
+    }
+
+    @Test
+    @DisplayName("ChatService.createReactAgent 接受 ChatModel 接口")
+    void chatServiceAcceptsChatModelInterface() {
+        var agent = chatService.createReactAgent(chatModel, "测试系统提示词");
+        assertNotNull(agent, "ReactAgent 应创建成功");
+        assertEquals("intelligent_assistant", agent.name());
+        System.out.println("✓ ReactAgent 创建成功: " + agent.name());
+    }
+
+    @Test
+    @DisplayName("ChatModel 实现 ChatModel 接口（类型安全验证）")
+    void chatModelIsProperType() {
+        assertNotNull(chatModel, "注入的 Bean 应为 ChatModel 实例");
+        System.out.println("✓ ChatModel 接口实现: " + chatModel.getClass().getSimpleName());
+    }
+
+    @Test
+    @DisplayName("EmbeddingModel 状态")
+    void embeddingModelStatus() {
+        boolean hasEmbedding = context.containsBean("embeddingModel");
+        if (hasEmbedding) {
+            System.out.println("✓ EmbeddingModel 已配置");
+        } else {
+            System.out.println("⚠ EmbeddingModel 未找到 — 检查 Ollama 是否运行");
+        }
+    }
+}