Upgrade Spring AI to 1.0.0, remove deprecated models and update dependencies

SPRING_AI_UPGRADE.md

@@ -0,0 +1,108 @@
+# Spring AI 升级到 1.0.0 总结
+
+## 升级版本
+- **从**: Spring AI 1.0.0-M6
+- **到**: Spring AI 1.0.0 GA
+
+## 主要变化
+
+### 1. 依赖管理
+- **新增**: 添加了 Spring AI BOM 依赖管理
+- **版本**: 所有 Spring AI 依赖现在通过 BOM 统一管理，无需指定版本号
+
+### 2. 依赖名称变更
+按照新的命名模式更新了所有依赖：
+
+**模型依赖**:
+- `spring-ai-openai-spring-boot-starter` → `spring-ai-starter-model-openai`
+- `spring-ai-azure-openai-spring-boot-starter` → `spring-ai-starter-model-azure-openai`
+- `spring-ai-ollama-spring-boot-starter` → `spring-ai-starter-model-ollama`
+- `spring-ai-stability-ai-spring-boot-starter` → `spring-ai-starter-model-stability-ai`
+- `spring-ai-zhipuai-spring-boot-starter` → `spring-ai-starter-model-zhipu-ai`
+- `spring-ai-minimax-spring-boot-starter` → `spring-ai-starter-model-minimax`
+
+**向量存储依赖**:
+- `spring-ai-qdrant-store` → `spring-ai-starter-vector-store-qdrant`
+- `spring-ai-redis-store` → `spring-ai-starter-vector-store-redis`
+- `spring-ai-milvus-store` → `spring-ai-starter-vector-store-milvus`
+
+### 3. 移除的模块
+以下模块在 Spring AI 1.0.0 中已被移除：
+
+**⚠️ 已移除的模块**:
+- **Moonshot (月之暗面)**: `spring-ai-moonshot-spring-boot-starter`
+- **QianFan (文心一言)**: `spring-ai-qianfan-spring-boot-starter`
+
+> **注意**: 这些模块已移至 Spring AI Community repository。如需继续使用，请参考社区版本。
+
+### 4. 代码变更
+
+#### 4.1 AiUtils.java
+- 移除了 `MoonshotChatOptions` 和 `QianFanChatOptions` 导入
+- 更新了 `buildChatOptions` 方法，对 `YI_YAN` 和 `MOONSHOT` 平台抛出 `UnsupportedOperationException`
+
+#### 4.2 AiModelFactoryImpl.java
+- 移除了相关导入和方法：
+  - `buildYiYanChatModel()`
+  - `buildQianFanImageModel()`
+  - `buildMoonshotChatModel()`
+  - `buildYiYanEmbeddingModel()`
+- 更新了所有相关的 switch 语句，对已移除的平台抛出异常
+
+#### 4.3 AiImageServiceImpl.java
+- 移除了 `QianFanImageOptions` 导入
+- 更新了 `buildImageOptions` 方法，对 `YI_YAN` 平台抛出异常
+
+#### 4.4 测试文件
+删除了不兼容的测试文件：
+- `QianFanImageTests.java`
+- `YiYanChatModelTests.java`
+- `MoonshotChatModelTests.java`
+
+### 5. 通义千问配置
+- 通义千问依赖 `spring-ai-alibaba-starter` 版本从 `1.0.0-M6.1` 更新到 `1.0.0.1`
+
+## 兼容性说明
+
+### ✅ 继续支持的模型
+- OpenAI
+- Azure OpenAI
+- Ollama
+- Stability AI
+- 智谱 GLM (ZhiPu AI)
+- MiniMax
+- 通义千问 (TongYi)
+
+### ❌ 不再支持的模型
+- Moonshot (月之暗面)
+- QianFan (文心一言)
+
+### 🔄 迁移建议
+如果您的应用程序使用了被移除的模型，建议：
+
+1. **迁移到其他支持的模型**：
+   - 从 Moonshot → OpenAI、智谱GLM 或其他聊天模型
+   - 从 QianFan → 通义千问、智谱GLM 或其他聊天模型
+
+2. **使用社区版本**：
+   - 查看 Spring AI Community repository 获取这些模型的社区支持版本
+
+## 验证升级
+
+升级完成后，请验证：
+
+1. ✅ 应用程序正常启动
+2. ✅ 现有的 AI 功能正常工作
+3. ✅ 向量存储连接正常
+4. ✅ 测试覆盖的模型功能正常
+
+## 参考文档
+
+- [Spring AI 1.0.0 发布说明](https://spring.io/blog/2025/05/20/spring-ai-1-0-GA-released)
+- [Spring AI 升级指南](https://docs.spring.io/spring-ai/reference/upgrade-notes.html)
+- [Spring AI Community Repository](https://github.com/spring-ai-community)
+
+---
+
+**升级日期**: $(date)
+**升级人**: [请填写升级人员]

yudao-dependencies/pom.xml

@@ -95,6 +95,13 @@
                 <type>pom</type>
                 <scope>import</scope>
             </dependency>
+            <dependency>
+                <groupId>org.springframework.ai</groupId>
+                <artifactId>spring-ai-bom</artifactId>
+                <version>1.0.0</version>
+                <type>pom</type>
+                <scope>import</scope>
+            </dependency>
 
             <!-- 业务组件 -->
             <dependency>

yudao-module-ai/pom.xml

@@ -19,7 +19,7 @@
           国外：OpenAI、Ollama、Midjourney、StableDiffusion、Suno
     </description>
     <properties>
-        <spring-ai.version>1.0.0-M6</spring-ai.version>
+        <spring-ai.version>1.0.0</spring-ai.version>
         <tinyflow.version>1.0.2</tinyflow.version>
     </properties>
 
@@ -75,66 +75,49 @@
         <!-- Spring AI Model 模型接入 -->
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-model-openai</artifactId>
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-azure-openai-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-model-azure-openai</artifactId>
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-model-ollama</artifactId>
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-stability-ai-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-model-stability-ai</artifactId>
         </dependency>
         <dependency>
             <!-- 通义千问 -->
             <groupId>com.alibaba.cloud.ai</groupId>
             <artifactId>spring-ai-alibaba-starter</artifactId>
-            <version>${spring-ai.version}.1</version>
-        </dependency>
-        <dependency>
-            <!-- 文心一言 -->
-            <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-qianfan-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
+            <version>1.0.0.1</version>
         </dependency>
+        <!-- 注意：文心一言(qianfan)和月之暗面(moonshot)在Spring AI 1.0.0中已被移除 -->
+        <!-- 如需使用，请参考Spring AI Community repository -->
         <dependency>
             <!-- 智谱 GLM -->
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-zhipuai-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-model-zhipu-ai</artifactId>
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-minimax-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
-        </dependency>
-        <dependency>
-            <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-moonshot-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-model-minimax</artifactId>
         </dependency>
 
         <!-- 向量存储：https://db-engines.com/en/ranking/vector+dbms -->
         <dependency>
             <!-- Qdrant：https://qdrant.tech/ -->
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-qdrant-store</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-vector-store-qdrant</artifactId>
         </dependency>
 
         <dependency>
             <!-- Redis：https://redis.io/docs/latest/develop/get-started/vector-database/ -->
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-redis-store</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-vector-store-redis</artifactId>
         </dependency>
         <dependency>
             <groupId>cn.iocoder.boot</groupId>
@@ -144,8 +127,7 @@
         <dependency>
             <!-- Milvus：https://milvus.io/ -->
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-milvus-store</artifactId>
-            <version>${spring-ai.version}</version>
+            <artifactId>spring-ai-starter-vector-store-milvus</artifactId>
             <exclusions>
                 <!-- 解决和 logback 的日志冲突 -->
                 <exclusion>
@@ -159,7 +141,6 @@
             <!-- Tika：负责内容的解析 -->
             <groupId>org.springframework.ai</groupId>
             <artifactId>spring-ai-tika-document-reader</artifactId>
-            <version>${spring-ai.version}</version>
             <!-- TODO 芋艿：boot 项目里，不引入 cloud 依赖！！！另外，这样也是为了解决启动报错的问题！ -->
             <exclusions>
                 <exclusion>

yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/AiModelFactoryImpl.java

@@ -42,10 +42,8 @@ import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiChatProperti
 import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiConnectionProperties;
 import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiEmbeddingProperties;
 import org.springframework.ai.autoconfigure.minimax.MiniMaxAutoConfiguration;
-import org.springframework.ai.autoconfigure.moonshot.MoonshotAutoConfiguration;
 import org.springframework.ai.autoconfigure.ollama.OllamaAutoConfiguration;
 import org.springframework.ai.autoconfigure.openai.OpenAiAutoConfiguration;
-import org.springframework.ai.autoconfigure.qianfan.QianFanAutoConfiguration;
 import org.springframework.ai.autoconfigure.stabilityai.StabilityAiImageAutoConfiguration;
 import org.springframework.ai.autoconfigure.vectorstore.milvus.MilvusServiceClientConnectionDetails;
 import org.springframework.ai.autoconfigure.vectorstore.milvus.MilvusServiceClientProperties;
@@ -70,9 +68,6 @@ import org.springframework.ai.minimax.MiniMaxEmbeddingOptions;
 import org.springframework.ai.minimax.api.MiniMaxApi;
 import org.springframework.ai.model.function.FunctionCallbackResolver;
 import org.springframework.ai.model.tool.ToolCallingManager;
-import org.springframework.ai.moonshot.MoonshotChatModel;
-import org.springframework.ai.moonshot.MoonshotChatOptions;
-import org.springframework.ai.moonshot.api.MoonshotApi;
 import org.springframework.ai.ollama.OllamaChatModel;
 import org.springframework.ai.ollama.OllamaEmbeddingModel;
 import org.springframework.ai.ollama.api.OllamaApi;
@@ -84,12 +79,6 @@ import org.springframework.ai.openai.OpenAiImageModel;
 import org.springframework.ai.openai.api.OpenAiApi;
 import org.springframework.ai.openai.api.OpenAiImageApi;
 import org.springframework.ai.openai.api.common.OpenAiApiConstants;
-import org.springframework.ai.qianfan.QianFanChatModel;
-import org.springframework.ai.qianfan.QianFanEmbeddingModel;
-import org.springframework.ai.qianfan.QianFanEmbeddingOptions;
-import org.springframework.ai.qianfan.QianFanImageModel;
-import org.springframework.ai.qianfan.api.QianFanApi;
-import org.springframework.ai.qianfan.api.QianFanImageApi;
 import org.springframework.ai.stabilityai.StabilityAiImageModel;
 import org.springframework.ai.stabilityai.api.StabilityAiApi;
 import org.springframework.ai.vectorstore.SimpleVectorStore;
@@ -133,8 +122,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
             switch (platform) {
                 case TONG_YI:
                     return buildTongYiChatModel(apiKey);
-                case YI_YAN:
-                    return buildYiYanChatModel(apiKey);
                 case DEEP_SEEK:
                     return buildDeepSeekChatModel(apiKey);
                 case DOU_BAO:
@@ -147,8 +134,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
                     return buildZhiPuChatModel(apiKey, url);
                 case MINI_MAX:
                     return buildMiniMaxChatModel(apiKey, url);
-                case MOONSHOT:
-                    return buildMoonshotChatModel(apiKey, url);
                 case XING_HUO:
                     return buildXingHuoChatModel(apiKey);
                 case BAI_CHUAN:
@@ -159,6 +144,11 @@ public class AiModelFactoryImpl implements AiModelFactory {
                     return buildAzureOpenAiChatModel(apiKey, url);
                 case OLLAMA:
                     return buildOllamaChatModel(url);
+                // 注意：YI_YAN(qianfan)和MOONSHOT在Spring AI 1.0.0中已被移除
+                case YI_YAN:
+                    throw new UnsupportedOperationException("文心一言(qianfan)在Spring AI 1.0.0中已被移除，请使用其他替代方案");
+                case MOONSHOT:
+                    throw new UnsupportedOperationException("月之暗面(moonshot)在Spring AI 1.0.0中已被移除，请使用其他替代方案");
                 default:
                     throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
             }
@@ -171,8 +161,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
         switch (platform) {
             case TONG_YI:
                 return SpringUtil.getBean(DashScopeChatModel.class);
-            case YI_YAN:
-                return SpringUtil.getBean(QianFanChatModel.class);
             case DEEP_SEEK:
                 return SpringUtil.getBean(DeepSeekChatModel.class);
             case DOU_BAO:
@@ -185,8 +173,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
                 return SpringUtil.getBean(ZhiPuAiChatModel.class);
             case MINI_MAX:
                 return SpringUtil.getBean(MiniMaxChatModel.class);
-            case MOONSHOT:
-                return SpringUtil.getBean(MoonshotChatModel.class);
             case XING_HUO:
                 return SpringUtil.getBean(XingHuoChatModel.class);
             case BAI_CHUAN:
@@ -208,8 +194,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
         switch (platform) {
             case TONG_YI:
                 return SpringUtil.getBean(DashScopeImageModel.class);
-            case YI_YAN:
-                return SpringUtil.getBean(QianFanImageModel.class);
             case ZHI_PU:
                 return SpringUtil.getBean(ZhiPuAiImageModel.class);
             case SILICON_FLOW:
@@ -218,6 +202,9 @@ public class AiModelFactoryImpl implements AiModelFactory {
                 return SpringUtil.getBean(OpenAiImageModel.class);
             case STABLE_DIFFUSION:
                 return SpringUtil.getBean(StabilityAiImageModel.class);
+            // 注意：YI_YAN(qianfan)在Spring AI 1.0.0中已被移除
+            case YI_YAN:
+                throw new UnsupportedOperationException("文心一言(qianfan)在Spring AI 1.0.0中已被移除，请使用其他替代方案");
             default:
                 throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
         }
@@ -229,8 +216,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
         switch (platform) {
             case TONG_YI:
                 return buildTongYiImagesModel(apiKey);
-            case YI_YAN:
-                return buildQianFanImageModel(apiKey);
             case ZHI_PU:
                 return buildZhiPuAiImageModel(apiKey, url);
             case OPENAI:
@@ -239,6 +224,9 @@ public class AiModelFactoryImpl implements AiModelFactory {
                 return buildSiliconFlowImageModel(apiKey,url);
             case STABLE_DIFFUSION:
                 return buildStabilityAiImageModel(apiKey, url);
+            // 注意：YI_YAN(qianfan)在Spring AI 1.0.0中已被移除
+            case YI_YAN:
+                throw new UnsupportedOperationException("文心一言(qianfan)在Spring AI 1.0.0中已被移除，请使用其他替代方案");
             default:
                 throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
         }
@@ -269,8 +257,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
             switch (platform) {
                 case TONG_YI:
                     return buildTongYiEmbeddingModel(apiKey, model);
-                case YI_YAN:
-                    return buildYiYanEmbeddingModel(apiKey, model);
                 case ZHI_PU:
                     return buildZhiPuEmbeddingModel(apiKey, url, model);
                 case MINI_MAX:
@@ -281,6 +267,9 @@ public class AiModelFactoryImpl implements AiModelFactory {
                     return buildAzureOpenAiEmbeddingModel(apiKey, url, model);
                 case OLLAMA:
                     return buildOllamaEmbeddingModel(url, model);
+                // 注意：YI_YAN(qianfan)在Spring AI 1.0.0中已被移除
+                case YI_YAN:
+                    throw new UnsupportedOperationException("文心一言(qianfan)在Spring AI 1.0.0中已被移除，请使用其他替代方案");
                 default:
                     throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
             }
@@ -336,30 +325,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
         return new DashScopeImageModel(dashScopeImageApi);
     }
 
-    /**
-     * 可参考 {@link QianFanAutoConfiguration} 的 qianFanChatModel 方法
-     */
-    private static QianFanChatModel buildYiYanChatModel(String key) {
-        List<String> keys = StrUtil.split(key, '|');
-        Assert.equals(keys.size(), 2, "YiYanChatClient 的密钥需要 (appKey|secretKey) 格式");
-        String appKey = keys.get(0);
-        String secretKey = keys.get(1);
-        QianFanApi qianFanApi = new QianFanApi(appKey, secretKey);
-        return new QianFanChatModel(qianFanApi);
-    }
-
-    /**
-     * 可参考 {@link QianFanAutoConfiguration} 的 qianFanImageModel 方法
-     */
-    private QianFanImageModel buildQianFanImageModel(String key) {
-        List<String> keys = StrUtil.split(key, '|');
-        Assert.equals(keys.size(), 2, "YiYanChatClient 的密钥需要 (appKey|secretKey) 格式");
-        String appKey = keys.get(0);
-        String secretKey = keys.get(1);
-        QianFanImageApi qianFanApi = new QianFanImageApi(appKey, secretKey);
-        return new QianFanImageModel(qianFanApi);
-    }
-
     /**
      * 可参考 {@link AiAutoConfiguration#deepSeekChatModel(YudaoAiProperties)}
      */
@@ -425,16 +390,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
         return new MiniMaxChatModel(miniMaxApi, options, getFunctionCallbackResolver(), DEFAULT_RETRY_TEMPLATE);
     }
 
-    /**
-     * 可参考 {@link MoonshotAutoConfiguration} 的 moonshotChatModel 方法
-     */
-    private MoonshotChatModel buildMoonshotChatModel(String apiKey, String url) {
-        MoonshotApi moonshotApi = StrUtil.isEmpty(url)? new MoonshotApi(apiKey)
-                : new MoonshotApi(url, apiKey);
-        MoonshotChatOptions options = MoonshotChatOptions.builder().model(MoonshotApi.DEFAULT_CHAT_MODEL).build();
-        return new MoonshotChatModel(moonshotApi, options, getFunctionCallbackResolver(), DEFAULT_RETRY_TEMPLATE);
-    }
-
     /**
      * 可参考 {@link AiAutoConfiguration#xingHuoChatClient(YudaoAiProperties)}
      */
@@ -541,31 +496,12 @@ public class AiModelFactoryImpl implements AiModelFactory {
      * 可参考 {@link MiniMaxAutoConfiguration} 的 miniMaxEmbeddingModel 方法
      */
     private EmbeddingModel buildMiniMaxEmbeddingModel(String apiKey, String url, String model) {
-        MiniMaxApi miniMaxApi = StrUtil.isEmpty(url)? new MiniMaxApi(apiKey)
+        MiniMaxApi miniMaxApi = StrUtil.isEmpty(url) ? new MiniMaxApi(apiKey)
                 : new MiniMaxApi(url, apiKey);
         MiniMaxEmbeddingOptions miniMaxEmbeddingOptions = MiniMaxEmbeddingOptions.builder().model(model).build();
         return new MiniMaxEmbeddingModel(miniMaxApi, MetadataMode.EMBED, miniMaxEmbeddingOptions);
     }
 
-    /**
-     * 可参考 {@link QianFanAutoConfiguration} 的 qianFanEmbeddingModel 方法
-     */
-    private QianFanEmbeddingModel buildYiYanEmbeddingModel(String key, String model) {
-        List<String> keys = StrUtil.split(key, '|');
-        Assert.equals(keys.size(), 2, "YiYanChatClient 的密钥需要 (appKey|secretKey) 格式");
-        String appKey = keys.get(0);
-        String secretKey = keys.get(1);
-        QianFanApi qianFanApi = new QianFanApi(appKey, secretKey);
-        QianFanEmbeddingOptions qianFanEmbeddingOptions = QianFanEmbeddingOptions.builder().model(model).build();
-        return new QianFanEmbeddingModel(qianFanApi, MetadataMode.EMBED, qianFanEmbeddingOptions);
-    }
-
-    private OllamaEmbeddingModel buildOllamaEmbeddingModel(String url, String model) {
-        OllamaApi ollamaApi = new OllamaApi(url);
-        OllamaOptions ollamaOptions = OllamaOptions.builder().model(model).build();
-        return OllamaEmbeddingModel.builder().ollamaApi(ollamaApi).defaultOptions(ollamaOptions).build();
-    }
-
     /**
      * 可参考 {@link OpenAiAutoConfiguration} 的 openAiEmbeddingModel 方法
      */
@@ -593,6 +529,12 @@ public class AiModelFactoryImpl implements AiModelFactory {
                 null, null);
     }
 
+    private OllamaEmbeddingModel buildOllamaEmbeddingModel(String url, String model) {
+        OllamaApi ollamaApi = new OllamaApi(url);
+        OllamaOptions ollamaOptions = OllamaOptions.builder().model(model).build();
+        return OllamaEmbeddingModel.builder().ollamaApi(ollamaApi).defaultOptions(ollamaOptions).build();
+    }
+
     // ========== 各种创建 VectorStore 的方法 ==========
 
     /**

yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/service/image/AiImageServiceImpl.java

@@ -34,7 +34,6 @@ import org.springframework.ai.image.ImageOptions;
 import org.springframework.ai.image.ImagePrompt;
 import org.springframework.ai.image.ImageResponse;
 import org.springframework.ai.openai.OpenAiImageOptions;
-import org.springframework.ai.qianfan.QianFanImageOptions;
 import org.springframework.ai.stabilityai.api.StabilityAiImageOptions;
 import org.springframework.ai.zhipuai.ZhiPuAiImageOptions;
 import org.springframework.scheduling.annotation.Async;
@@ -168,10 +167,8 @@ public class AiImageServiceImpl implements AiImageService {
                     .withHeight(draw.getHeight()).withWidth(draw.getWidth())
                     .build();
         } else if (ObjUtil.equal(model.getPlatform(), AiPlatformEnum.YI_YAN.getPlatform())) {
-            return QianFanImageOptions.builder()
-                    .model(model.getModel()).N(1)
-                    .height(draw.getHeight()).width(draw.getWidth())
-                    .build();
+            // 注意：文心一言(qianfan)在Spring AI 1.0.0中已被移除
+            throw new UnsupportedOperationException("文心一言(qianfan)在Spring AI 1.0.0中已被移除，请使用其他替代方案");
         } else if (ObjUtil.equal(model.getPlatform(), AiPlatformEnum.ZHI_PU.getPlatform())) {
             return ZhiPuAiImageOptions.builder()
                     .model(model.getModel())
@@ -260,7 +257,7 @@ public class AiImageServiceImpl implements AiImageService {
 
     @Override
     public Integer midjourneySync() {
-        // 1.1 获取 Midjourney 平台，状态在 “进行中” 的 image
+        // 1.1 获取 Midjourney 平台，状态在 "进行中" 的 image
         List<AiImageDO> images = imageMapper.selectListByStatusAndPlatform(
                 AiImageStatusEnum.IN_PROGRESS.getStatus(), AiPlatformEnum.MIDJOURNEY.getPlatform());
         if (CollUtil.isEmpty(images)) {

yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/util/AiUtils.java

@@ -10,10 +10,8 @@ import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
 import org.springframework.ai.chat.messages.*;
 import org.springframework.ai.chat.prompt.ChatOptions;
 import org.springframework.ai.minimax.MiniMaxChatOptions;
-import org.springframework.ai.moonshot.MoonshotChatOptions;
 import org.springframework.ai.ollama.api.OllamaOptions;
 import org.springframework.ai.openai.OpenAiChatOptions;
-import org.springframework.ai.qianfan.QianFanChatOptions;
 import org.springframework.ai.zhipuai.ZhiPuAiChatOptions;
 
 import java.util.Collections;
@@ -45,7 +43,8 @@ public class AiUtils {
                 return DashScopeChatOptions.builder().withModel(model).withTemperature(temperature).withMaxToken(maxTokens)
                         .withFunctions(toolNames).withToolContext(toolContext).build();
             case YI_YAN:
-                return QianFanChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens).build();
+                // 注意：文心一言(qianfan)在Spring AI 1.0.0中已被移除，请使用其他替代方案
+                throw new UnsupportedOperationException("文心一言(qianfan)在Spring AI 1.0.0中已被移除，请使用其他替代方案");
             case ZHI_PU:
                 return ZhiPuAiChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
                         .functions(toolNames).toolContext(toolContext).build();
@@ -53,8 +52,8 @@ public class AiUtils {
                 return MiniMaxChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
                         .functions(toolNames).toolContext(toolContext).build();
             case MOONSHOT:
-                return MoonshotChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
-                        .functions(toolNames).toolContext(toolContext).build();
+                // 注意：月之暗面(moonshot)在Spring AI 1.0.0中已被移除，请使用其他替代方案
+                throw new UnsupportedOperationException("月之暗面(moonshot)在Spring AI 1.0.0中已被移除，请使用其他替代方案");
             case OPENAI:
             case DEEP_SEEK: // 复用 OpenAI 客户端
             case DOU_BAO: // 复用 OpenAI 客户端

yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/MoonshotChatModelTests.java

@@ -1,62 +0,0 @@
-package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
-
-import org.junit.jupiter.api.Disabled;
-import org.junit.jupiter.api.Test;
-import org.springframework.ai.chat.messages.Message;
-import org.springframework.ai.chat.messages.SystemMessage;
-import org.springframework.ai.chat.messages.UserMessage;
-import org.springframework.ai.chat.model.ChatResponse;
-import org.springframework.ai.chat.prompt.Prompt;
-import org.springframework.ai.moonshot.MoonshotChatModel;
-import org.springframework.ai.moonshot.MoonshotChatOptions;
-import org.springframework.ai.moonshot.api.MoonshotApi;
-import reactor.core.publisher.Flux;
-
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * {@link MoonshotChatModel} 的集成测试
- *
- * @author 芋道源码
- */
-public class MoonshotChatModelTests {
-
-    private final MoonshotChatModel chatModel = new MoonshotChatModel(
-            new MoonshotApi("sk-aHYYV1SARscItye5QQRRNbXij4fy65Ee7pNZlC9gsSQnUKXA"), // 密钥
-            MoonshotChatOptions.builder()
-                    .model("moonshot-v1-8k") // 模型
-                    .build());
-    @Test
-    @Disabled
-    public void testCall() {
-        // 准备参数
-        List<Message> messages = new ArrayList<>();
-        messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
-        messages.add(new UserMessage("1 + 1 = ？"));
-
-        // 调用
-        ChatResponse response = chatModel.call(new Prompt(messages));
-        // 打印结果
-        System.out.println(response);
-        System.out.println(response.getResult().getOutput());
-    }
-
-    @Test
-    @Disabled
-    public void testStream() {
-        // 准备参数
-        List<Message> messages = new ArrayList<>();
-        messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
-        messages.add(new UserMessage("1 + 1 = ？"));
-
-        // 调用
-        Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
-        // 打印结果
-        flux.doOnNext(response -> {
-//            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
-        }).then().block();
-    }
-
-}

yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/YiYanChatModelTests.java

@@ -1,62 +0,0 @@
-package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
-
-import org.junit.jupiter.api.Disabled;
-import org.junit.jupiter.api.Test;
-import org.springframework.ai.chat.messages.Message;
-import org.springframework.ai.chat.messages.UserMessage;
-import org.springframework.ai.chat.model.ChatResponse;
-import org.springframework.ai.chat.prompt.Prompt;
-import org.springframework.ai.qianfan.QianFanChatModel;
-import org.springframework.ai.qianfan.QianFanChatOptions;
-import org.springframework.ai.qianfan.api.QianFanApi;
-import reactor.core.publisher.Flux;
-
-import java.util.ArrayList;
-import java.util.List;
-
-// TODO @芋艿：百度千帆 API 提供了 V2 版本，目前 Spring AI 不兼容，可关键 <https://github.com/spring-projects/spring-ai/issues/2179> 进展
-/**
- * {@link QianFanChatModel} 的集成测试
- *
- * @author fansili
- */
-public class YiYanChatModelTests {
-
-    private final QianFanChatModel chatModel = new QianFanChatModel(
-            new QianFanApi("qS8k8dYr2nXunagK4SSU8Xjj", "pHGbx51ql2f0hOyabQvSZezahVC3hh3e"), // 密钥
-            QianFanChatOptions.builder()
-                    .model(QianFanApi.ChatModel.ERNIE_4_0_8K_Preview.getValue())
-                    .build()
-    );
-
-    @Test
-    @Disabled
-    public void testCall() {
-        // 准备参数
-        List<Message> messages = new ArrayList<>();
-        // TODO @芋艿：文心一言，只要带上 system message 就报错，已经各种测试，很莫名！
-//        messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
-        messages.add(new UserMessage("1 + 1 = ？"));
-
-        // 调用
-        ChatResponse response = chatModel.call(new Prompt(messages));
-        // 打印结果
-        System.out.println(response);
-    }
-
-    @Test
-    @Disabled
-    public void testStream() {
-        // 准备参数
-        List<Message> messages = new ArrayList<>();
-        // TODO @芋艿：文心一言，只要带上 system message 就报错，已经各种测试，很莫名！
-//        messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
-        messages.add(new UserMessage("1 + 1 = ？"));
-
-        // 调用
-        Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
-        // 打印结果
-        flux.doOnNext(System.out::println).then().block();
-    }
-
-}

yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/image/QianFanImageTests.java

@@ -1,43 +0,0 @@
-package cn.iocoder.yudao.module.ai.framework.ai.core.model.image;
-
-import org.junit.jupiter.api.Disabled;
-import org.junit.jupiter.api.Test;
-import org.springframework.ai.image.ImagePrompt;
-import org.springframework.ai.image.ImageResponse;
-import org.springframework.ai.qianfan.QianFanImageModel;
-import org.springframework.ai.qianfan.QianFanImageOptions;
-import org.springframework.ai.qianfan.api.QianFanImageApi;
-
-import static cn.iocoder.yudao.module.ai.framework.ai.core.model.image.StabilityAiImageModelTests.viewImage;
-
-// TODO @芋艿：百度千帆 API 提供了 V2 版本，目前 Spring AI 不兼容，可关键 <https://github.com/spring-projects/spring-ai/issues/2179> 进展
-
-/**
- * {@link QianFanImageModel} 集成测试类
- */
-public class QianFanImageTests {
-
-    private final QianFanImageModel imageModel = new QianFanImageModel(
-            new QianFanImageApi("qS8k8dYr2nXunagK4SSU8Xjj", "pHGbx51ql2f0hOyabQvSZezahVC3hh3e")); // 密钥
-
-    @Test
-    @Disabled
-    public void testCall() {
-        // 准备参数
-        // 只支持 1024x1024、768x768、768x1024、1024x768、576x1024、1024x576
-        QianFanImageOptions imageOptions = QianFanImageOptions.builder()
-                .model(QianFanImageApi.ImageModel.Stable_Diffusion_XL.getValue())
-                .width(1024).height(1024)
-                .N(1)
-                .build();
-        ImagePrompt prompt = new ImagePrompt("good", imageOptions);
-
-        // 方法调用
-        ImageResponse response = imageModel.call(prompt);
-        // 打印结果
-        String b64Json = response.getResult().getOutput().getB64Json();
-        System.out.println(response);
-        viewImage(b64Json);
-    }
-
-}