feat：【AI 大模型】依赖 spring ai 升级到 1.0.0

yudao-module-ai/pom.xml

@@ -19,7 +19,8 @@
           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>
+        <alibaba-ai.version>1.0.0.2</alibaba-ai.version>
         <tinyflow.version>1.0.2</tinyflow.version>
     </properties>
 
@@ -75,65 +76,66 @@
         <!-- Spring AI Model 模型接入 -->
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
+            <artifactId>spring-ai-starter-model-openai</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-azure-openai-spring-boot-starter</artifactId>
+            <artifactId>spring-ai-starter-model-azure-openai</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
+            <artifactId>spring-ai-starter-model-ollama</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-stability-ai-spring-boot-starter</artifactId>
+            <artifactId>spring-ai-starter-model-stability-ai</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
         <dependency>
             <!-- 通义千问 -->
             <groupId>com.alibaba.cloud.ai</groupId>
-            <artifactId>spring-ai-alibaba-starter</artifactId>
+            <artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
-            <version>${spring-ai.version}.1</version>
+            <version>${alibaba-ai.version}</version>
         </dependency>
         <dependency>
             <!-- 文心一言 -->
-            <groupId>org.springframework.ai</groupId>
+            <groupId>org.springaicommunity</groupId>
-            <artifactId>spring-ai-qianfan-spring-boot-starter</artifactId>
+            <artifactId>qianfan-spring-boot-starter</artifactId>
-            <version>${spring-ai.version}</version>
+            <version>1.0.0</version>
         </dependency>
         <dependency>
             <!-- 智谱 GLM -->
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-zhipuai-spring-boot-starter</artifactId>
+            <artifactId>spring-ai-starter-model-zhipuai</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-minimax-spring-boot-starter</artifactId>
+            <artifactId>spring-ai-starter-model-minimax</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
         <dependency>
-            <groupId>org.springframework.ai</groupId>
+            <!-- 月之暗灭 -->
-            <artifactId>spring-ai-moonshot-spring-boot-starter</artifactId>
+            <groupId>org.springaicommunity</groupId>
-            <version>${spring-ai.version}</version>
+            <artifactId>moonshot-spring-boot-starter</artifactId>
+            <version>1.0.0</version>
         </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>
+            <artifactId>spring-ai-starter-vector-store-qdrant</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
 
         <dependency>
             <!-- Redis：https://redis.io/docs/latest/develop/get-started/vector-database/ -->
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-redis-store</artifactId>
+            <artifactId>spring-ai-starter-vector-store-redis</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
         <dependency>
@@ -144,7 +146,7 @@
         <dependency>
             <!-- Milvus：https://milvus.io/ -->
             <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-milvus-store</artifactId>
+            <artifactId>spring-ai-starter-vector-store-milvus</artifactId>
             <version>${spring-ai.version}</version>
             <exclusions>
                 <!-- 解决和 logback 的日志冲突 -->

yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/config/AiAutoConfiguration.java

@@ -14,10 +14,6 @@ import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlo
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.suno.api.SunoApi;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.xinghuo.XingHuoChatModel;
 import lombok.extern.slf4j.Slf4j;
-import org.springframework.ai.autoconfigure.vectorstore.milvus.MilvusServiceClientProperties;
-import org.springframework.ai.autoconfigure.vectorstore.milvus.MilvusVectorStoreProperties;
-import org.springframework.ai.autoconfigure.vectorstore.qdrant.QdrantVectorStoreProperties;
-import org.springframework.ai.autoconfigure.vectorstore.redis.RedisVectorStoreProperties;
 import org.springframework.ai.embedding.BatchingStrategy;
 import org.springframework.ai.embedding.TokenCountBatchingStrategy;
 import org.springframework.ai.model.tool.ToolCallingManager;
@@ -26,6 +22,10 @@ import org.springframework.ai.openai.OpenAiChatOptions;
 import org.springframework.ai.openai.api.OpenAiApi;
 import org.springframework.ai.tokenizer.JTokkitTokenCountEstimator;
 import org.springframework.ai.tokenizer.TokenCountEstimator;
+import org.springframework.ai.vectorstore.milvus.autoconfigure.MilvusServiceClientProperties;
+import org.springframework.ai.vectorstore.milvus.autoconfigure.MilvusVectorStoreProperties;
+import org.springframework.ai.vectorstore.qdrant.autoconfigure.QdrantVectorStoreProperties;
+import org.springframework.ai.vectorstore.redis.autoconfigure.RedisVectorStoreProperties;
 import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
 import org.springframework.boot.context.properties.EnableConfigurationProperties;
 import org.springframework.context.annotation.Bean;

yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/siliconflow/SiliconFlowImageModel.java

@@ -89,7 +89,7 @@ public class SiliconFlowImageModel implements ImageModel {
 		var observationContext = ImageModelObservationContext.builder()
 			.imagePrompt(imagePrompt)
 			.provider(SiliconFlowApiConstants.PROVIDER_NAME)
-			.requestOptions(imagePrompt.getOptions())
+            .imagePrompt(imagePrompt)
 			.build();
 
 		return ImageModelObservationDocumentation.IMAGE_MODEL_OPERATION

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

@@ -9,9 +9,6 @@ import cn.hutool.core.util.ObjUtil;
 import cn.hutool.core.util.StrUtil;
 import cn.hutool.extra.spring.SpringUtil;
 import cn.hutool.http.HttpUtil;
-import cn.iocoder.yudao.module.ai.enums.model.AiPlatformEnum;
-import cn.iocoder.yudao.module.ai.framework.ai.core.model.midjourney.api.MidjourneyApi;
-import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlowImageOptions;
 import cn.iocoder.yudao.framework.common.pojo.PageResult;
 import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
 import cn.iocoder.yudao.module.ai.controller.admin.image.vo.AiImageDrawReqVO;
@@ -24,17 +21,20 @@ import cn.iocoder.yudao.module.ai.dal.dataobject.image.AiImageDO;
 import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiModelDO;
 import cn.iocoder.yudao.module.ai.dal.mysql.image.AiImageMapper;
 import cn.iocoder.yudao.module.ai.enums.image.AiImageStatusEnum;
+import cn.iocoder.yudao.module.ai.enums.model.AiPlatformEnum;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.midjourney.api.MidjourneyApi;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlowImageOptions;
 import cn.iocoder.yudao.module.ai.service.model.AiModelService;
 import cn.iocoder.yudao.module.infra.api.file.FileApi;
 import com.alibaba.cloud.ai.dashscope.image.DashScopeImageOptions;
 import jakarta.annotation.Resource;
 import lombok.extern.slf4j.Slf4j;
+import org.springaicommunity.qianfan.QianFanImageOptions;
 import org.springframework.ai.image.ImageModel;
 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;
@@ -140,10 +140,10 @@ public class AiImageServiceImpl implements AiImageService {
     private static ImageOptions buildImageOptions(AiImageDrawReqVO draw, AiModelDO model) {
         if (ObjUtil.equal(model.getPlatform(), AiPlatformEnum.OPENAI.getPlatform())) {
             // https://platform.openai.com/docs/api-reference/images/create
-            return OpenAiImageOptions.builder().withModel(model.getModel())
+            return OpenAiImageOptions.builder().model(model.getModel())
-                    .withHeight(draw.getHeight()).withWidth(draw.getWidth())
+                    .height(draw.getHeight()).width(draw.getWidth())
-                    .withStyle(MapUtil.getStr(draw.getOptions(), "style")) // 风格
+                    .style(MapUtil.getStr(draw.getOptions(), "style")) // 风格
-                    .withResponseFormat("b64_json")
+                    .responseFormat("b64_json")
                     .build();
         } else if (ObjUtil.equal(model.getPlatform(), AiPlatformEnum.SILICON_FLOW.getPlatform())) {
             // https://docs.siliconflow.cn/cn/api-reference/images/images-generations

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

@@ -2,18 +2,18 @@ package cn.iocoder.yudao.module.ai.util;
 
 import cn.hutool.core.util.ObjUtil;
 import cn.hutool.core.util.StrUtil;
-import cn.iocoder.yudao.module.ai.enums.model.AiPlatformEnum;
 import cn.iocoder.yudao.framework.security.core.util.SecurityFrameworkUtils;
 import cn.iocoder.yudao.framework.tenant.core.context.TenantContextHolder;
+import cn.iocoder.yudao.module.ai.enums.model.AiPlatformEnum;
 import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatOptions;
+import org.springaicommunity.moonshot.MoonshotChatOptions;
+import org.springaicommunity.qianfan.QianFanChatOptions;
 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;
@@ -43,18 +43,18 @@ public class AiUtils {
         switch (platform) {
             case TONG_YI:
                 return DashScopeChatOptions.builder().withModel(model).withTemperature(temperature).withMaxToken(maxTokens)
-                        .withFunctions(toolNames).withToolContext(toolContext).build();
+                        .withToolNames(toolNames).withToolContext(toolContext).build();
             case YI_YAN:
                 return QianFanChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens).build();
             case ZHI_PU:
                 return ZhiPuAiChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
-                        .functions(toolNames).toolContext(toolContext).build();
+                        .toolNames(toolNames).toolContext(toolContext).build();
             case MINI_MAX:
                 return MiniMaxChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
-                        .functions(toolNames).toolContext(toolContext).build();
+                        .toolNames(toolNames).toolContext(toolContext).build();
             case MOONSHOT:
                 return MoonshotChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
-                        .functions(toolNames).toolContext(toolContext).build();
+                        .toolNames(toolNames).toolContext(toolContext).build();
             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/OpenAIChatModelTests.java

@@ -25,10 +25,10 @@ public class OpenAIChatModelTests {
     private final OpenAiChatModel chatModel = OpenAiChatModel.builder()
             .openAiApi(OpenAiApi.builder()
                     .baseUrl("https://api.holdai.top")
-                    .apiKey("sk-aN6nWn3fILjrgLFT0fC4Aa60B72e4253826c77B29dC94f17") // apiKey
+                    .apiKey("sk-PytRecQlmjEteoa2RRN6cGnwslo72UUPLQVNEMS6K9yjbmpD") // apiKey
                     .build())
             .defaultOptions(OpenAiChatOptions.builder()
-                    .model(OpenAiApi.ChatModel.GPT_4_O) // 模型
+                    .model(OpenAiApi.ChatModel.GPT_4_1_NANO) // 模型
                     .temperature(0.7)
                     .build())
             .build();

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

@@ -22,14 +22,17 @@ import java.util.List;
  */
 public class TongYiChatModelTests {
 
-    private final DashScopeChatModel chatModel = new DashScopeChatModel(
+    private final DashScopeChatModel chatModel = DashScopeChatModel.builder()
-            new DashScopeApi("sk-7d903764249848cfa912733146da12d1"),
+            .dashScopeApi(DashScopeApi.builder()
-            DashScopeChatOptions.builder()
+                    .apiKey("sk-47aa124781be4bfb95244cc62f63f7d0")
+                    .build())
+            .defaultOptions( DashScopeChatOptions.builder()
                     .withModel("qwen1.5-72b-chat") // 模型
 //                    .withModel("deepseek-r1") // 模型（deepseek-r1）
 //                    .withModel("deepseek-v3") // 模型（deepseek-v3）
 //                    .withModel("deepseek-r1-distill-qwen-1.5b") // 模型（deepseek-r1-distill-qwen-1.5b）
-                    .build());
+                    .build())
+            .build();
 
     @Test
     @Disabled

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

@@ -18,7 +18,7 @@ public class OpenAiImageModelTests {
 
     private final OpenAiImageModel imageModel = new OpenAiImageModel(OpenAiImageApi.builder()
             .baseUrl("https://api.holdai.top") // apiKey
-            .apiKey("sk-aN6nWn3fILjrgLFT0fC4Aa60B72e4253826c77B29dC94f17")
+            .apiKey("sk-PytRecQlmjEteoa2RRN6cGnwslo72UUPLQVNEMS6K9yjbmpD")
             .build());
 
     @Test
@@ -26,8 +26,8 @@ public class OpenAiImageModelTests {
     public void testCall() {
         // 准备参数
         ImageOptions options = OpenAiImageOptions.builder()
-                .withModel(OpenAiImageApi.ImageModel.DALL_E_2.getValue()) // 这个模型比较便宜
+                .model(OpenAiImageApi.ImageModel.DALL_E_2.getValue()) // 这个模型比较便宜
-                .withHeight(256).withWidth(256)
+                .height(256).width(256)
                 .build();
         ImagePrompt prompt = new ImagePrompt("中国长城!", options);
 

yudao-server/src/main/resources/application-dev.yaml

@@ -6,8 +6,8 @@ server:
 spring:
   autoconfigure:
     exclude:
-      - org.springframework.ai.autoconfigure.vectorstore.qdrant.QdrantVectorStoreAutoConfiguration # 禁用 AI 模块的 Qdrant，手动创建
+      - org.springframework.ai.vectorstore.qdrant.autoconfigure.QdrantVectorStoreAutoConfiguration # 禁用 AI 模块的 Qdrant，手动创建
-      - org.springframework.ai.autoconfigure.vectorstore.milvus.MilvusVectorStoreAutoConfiguration # 禁用 AI 模块的 Milvus，手动创建
+      - org.springframework.ai.vectorstore.milvus.autoconfigure.MilvusVectorStoreAutoConfiguration # 禁用 AI 模块的 Milvus，手动创建
   # 数据源配置项
   datasource:
     druid: # Druid 【监控】相关的全局配置

yudao-server/src/main/resources/application-local.yaml

@@ -10,8 +10,8 @@ spring:
       - de.codecentric.boot.admin.server.config.AdminServerAutoConfiguration # 禁用 Spring Boot Admin 的 Server 的自动配置
       - de.codecentric.boot.admin.server.ui.config.AdminServerUiAutoConfiguration # 禁用 Spring Boot Admin 的 Server UI 的自动配置
       - de.codecentric.boot.admin.client.config.SpringBootAdminClientAutoConfiguration # 禁用 Spring Boot Admin 的 Client 的自动配置
-      - org.springframework.ai.autoconfigure.vectorstore.qdrant.QdrantVectorStoreAutoConfiguration # 禁用 AI 模块的 Qdrant，手动创建
+      - org.springframework.ai.vectorstore.qdrant.autoconfigure.QdrantVectorStoreAutoConfiguration # 禁用 AI 模块的 Qdrant，手动创建
-      - org.springframework.ai.autoconfigure.vectorstore.milvus.MilvusVectorStoreAutoConfiguration # 禁用 AI 模块的 Milvus，手动创建
+      - org.springframework.ai.vectorstore.milvus.autoconfigure.MilvusVectorStoreAutoConfiguration # 禁用 AI 模块的 Milvus，手动创建
   # 数据源配置项
   datasource:
     druid: # Druid 【监控】相关的全局配置