Merge branch 'refs/heads/up-master-jdk21-ai' into master-jdk21-ai

# Conflicts: # yudao-module-ai/yudao-module-ai-api/src/main/java/cn/iocoder/yudao/module/ai/enums/ErrorCodeConstants.java # yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/knowledge/DocServiceImpl.java

Merge branch 'refs/heads/up-master-jdk21-ai' into master-jdk21-ai
# Conflicts: # yudao-module-ai/yudao-module-ai-api/src/main/java/cn/iocoder/yudao/module/ai/enums/ErrorCodeConstants.java # yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/knowledge/DocServiceImpl.java
xiaoxin
2 parents 8e54eef8 83d86bcf
Showing 18 changed files with 273 additions and 17 deletions
yudao-module-ai/pom.xml
yudao-module-ai/yudao-module-ai-api/src/main/java/cn/iocoder/yudao/module/ai/enums/AiChatRoleEnum.java
yudao-module-ai/yudao-module-ai-api/src/main/java/cn/iocoder/yudao/module/ai/enums/ErrorCodeConstants.java
yudao-module-ai/yudao-module-ai-biz/pom.xml
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/controller/admin/mindmap/AiMindMapController.java
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/controller/admin/mindmap/vo/AiMindMapPageReqVO.java
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/controller/admin/mindmap/vo/AiMindMapRespVO.java
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/dal/mysql/mindmap/AiMindMapMapper.java
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/mindmap/AiMindMapService.java
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/mindmap/AiMindMapServiceImpl.java
yudao-module-ai/yudao-spring-boot-starter-ai/pom.xml
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/config/YudaoAiAutoConfiguration.java
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/enums/AiPlatformEnum.java
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/factory/AiModelFactoryImpl.java
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/util/AiUtils.java
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/AzureOpenAIChatModelTests.java
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/OpenAIChatModelTests.java
yudao-server/src/main/resources/application.yaml
@@ -18,7 +18,7 @@
     <name>${project.artifactId}</name>
     <description>
-        ai 模块下，接入 LLM 大模型，支持聊天、绘图、音乐、写作、思维脑图等功能。
+        ai 模块下，接入 LLM 大模型，支持聊天、绘图、音乐、写作、思维导图等功能。
         目前已接入各种模型，不限于：
           国内：通义千问、文心一言、讯飞星火、智谱 GLM、DeepSeek
           国外：OpenAI、Ollama、Midjourney、StableDiffusion、Suno
@@ -22,7 +22,7 @@ public enum AiChatRoleEnum implements IntArrayValuable {
             除此之外不需要除了正文内容外的其他回复，如标题、开头、任何解释性语句或道歉。
             """),
-    AI_MIND_MAP_ROLE(2, "脑图助手", """
+    AI_MIND_MAP_ROLE(2, "导图助手", """
              你是一位非常优秀的思维导图助手，你会把用户的所有提问都总结成思维导图，然后以 Markdown 格式输出。markdown 只需要输出一级标题，二级标题，三级标题，四级标题，最多输出四级，除此之外不要输出任何其他 markdown 标记。下面是一个合格的例子：
              # Geek-AI 助手
              ## 完整的开源系统
@@ -45,11 +45,13 @@ public interface ErrorCodeConstants {
     // ========== API 音乐 1-040-006-000 ==========
     ErrorCode MUSIC_NOT_EXISTS = new ErrorCode(1_022_006_000, "音乐不存在!");
-
     // ========== API 写作 1-022-007-000 ==========
     ErrorCode WRITE_NOT_EXISTS = new ErrorCode(1_022_007_000, "作文不存在!");
     ErrorCode WRITE_STREAM_ERROR = new ErrorCode(1_022_07_001, "写作生成异常!");
+    // ========== API 思维导图 1-040-008-000 ==========
+    ErrorCode MIND_MAP_NOT_EXISTS = new ErrorCode(1_040_008_000, "思维导图不存在!");
+
     // ========== API 知识库 1-022-008-000 ==========
     ErrorCode KNOWLEDGE_NOT_EXISTS = new ErrorCode(1_022_008_000, "知识库不存在!");
@@ -12,7 +12,7 @@
     <name>${project.artifactId}</name>
     <description>
-        ai 模块下，接入 LLM 大模型，支持聊天、绘图、音乐、写作、思维脑图等功能。
+        ai 模块下，接入 LLM 大模型，支持聊天、绘图、音乐、写作、思维导图等功能。
         目前已接入各种模型，不限于：
         国内：通义千问、文心一言、讯飞星火、智谱 GLM、DeepSeek
         国外：OpenAI、Ollama、Midjourney、StableDiffusion、Suno
 package cn.iocoder.yudao.module.ai.controller.admin.mindmap;
 import cn.iocoder.yudao.framework.common.pojo.CommonResult;
+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.mindmap.vo.AiMindMapGenerateReqVO;
+import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapPageReqVO;
+import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapRespVO;
+import cn.iocoder.yudao.module.ai.dal.dataobject.mindmap.AiMindMapDO;
 import cn.iocoder.yudao.module.ai.service.mindmap.AiMindMapService;
 import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
 import io.swagger.v3.oas.annotations.tags.Tag;
 import jakarta.annotation.Resource;
 import jakarta.annotation.security.PermitAll;
 import jakarta.validation.Valid;
 import org.springframework.http.MediaType;
-import org.springframework.web.bind.annotation.PostMapping;
-import org.springframework.web.bind.annotation.RequestBody;
-import org.springframework.web.bind.annotation.RequestMapping;
-import org.springframework.web.bind.annotation.RestController;
+import org.springframework.security.access.prepost.PreAuthorize;
+import org.springframework.web.bind.annotation.*;
 import reactor.core.publisher.Flux;
+import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
 import static cn.iocoder.yudao.framework.security.core.util.SecurityFrameworkUtils.getLoginUserId;
 @Tag(name = "管理后台 - AI 思维导图")
@@ -26,10 +31,29 @@ public class AiMindMapController {
     private AiMindMapService mindMapService;
     @PostMapping(value = "/generate-stream", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
-    @Operation(summary = "脑图生成（流式）", description = "流式返回，响应较快")
+    @Operation(summary = "导图生成（流式）", description = "流式返回，响应较快")
     @PermitAll  // 解决 SSE 最终响应的时候，会被 Access Denied 拦截的问题
     public Flux<CommonResult<String>> generateMindMap(@RequestBody @Valid AiMindMapGenerateReqVO generateReqVO) {
         return mindMapService.generateMindMap(generateReqVO, getLoginUserId());
     }
+    // ================ 导图管理 ================
+
+    @DeleteMapping("/delete")
+    @Operation(summary = "删除思维导图")
+    @Parameter(name = "id", description = "编号", required = true)
+    @PreAuthorize("@ss.hasPermission('ai:mind-map:delete')")
+    public CommonResult<Boolean> deleteMindMap(@RequestParam("id") Long id) {
+        mindMapService.deleteMindMap(id);
+        return success(true);
+    }
+
+    @GetMapping("/page")
+    @Operation(summary = "获得思维导图分页")
+    @PreAuthorize("@ss.hasPermission('ai:mind-map:query')")
+    public CommonResult<PageResult<AiMindMapRespVO>> getMindMapPage(@Valid AiMindMapPageReqVO pageReqVO) {
+        PageResult<AiMindMapDO> pageResult = mindMapService.getMindMapPage(pageReqVO);
+        return success(BeanUtils.toBean(pageResult, AiMindMapRespVO.class));
+    }
+
 }
+package cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo;
+
+import cn.iocoder.yudao.framework.common.pojo.PageParam;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import lombok.ToString;
+import org.springframework.format.annotation.DateTimeFormat;
+
+import java.time.LocalDateTime;
+
+import static cn.iocoder.yudao.framework.common.util.date.DateUtils.FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND;
+
+@Schema(description = "管理后台 - AI 思维导图分页 Request VO")
+@Data
+@EqualsAndHashCode(callSuper = true)
+@ToString(callSuper = true)
+public class AiMindMapPageReqVO extends PageParam {
+
+    @Schema(description = "用户编号", example = "4325")
+    private Long userId;
+
+    @Schema(description = "生成内容提示", example = "Java 学习路线")
+    private String prompt;
+
+    @Schema(description = "创建时间")
+    @DateTimeFormat(pattern = FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND)
+    private LocalDateTime[] createTime;
+
+}
 \ No newline at end of file
+package cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+import java.time.LocalDateTime;
+
+@Schema(description = "管理后台 - AI 思维导图 Response VO")
+@Data
+public class AiMindMapRespVO {
+
+    @Schema(description = "编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "3373")
+    private Long id;
+
+    @Schema(description = "用户编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "4325")
+    private Long userId;
+
+    @Schema(description = "生成内容提示", requiredMode = Schema.RequiredMode.REQUIRED, example = "Java 学习路线")
+    private String prompt;
+
+    @Schema(description = "生成的思维导图内容")
+    private String generatedContent;
+
+    @Schema(description = "平台", requiredMode = Schema.RequiredMode.REQUIRED, example = "OpenAI")
+    private String platform;
+
+    @Schema(description = "模型", requiredMode = Schema.RequiredMode.REQUIRED, example = "gpt-3.5-turbo-0125")
+    private String model;
+
+    @Schema(description = "错误信息")
+    private String errorMessage;
+
+    @Schema(description = "创建时间", requiredMode = Schema.RequiredMode.REQUIRED)
+    private LocalDateTime createTime;
+
+}
 \ No newline at end of file
 package cn.iocoder.yudao.module.ai.dal.mysql.mindmap;
+import cn.iocoder.yudao.framework.common.pojo.PageResult;
 import cn.iocoder.yudao.framework.mybatis.core.mapper.BaseMapperX;
+import cn.iocoder.yudao.framework.mybatis.core.query.LambdaQueryWrapperX;
+import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapPageReqVO;
 import cn.iocoder.yudao.module.ai.dal.dataobject.mindmap.AiMindMapDO;
 import org.apache.ibatis.annotations.Mapper;
@@ -11,4 +14,13 @@ import org.apache.ibatis.annotations.Mapper;
  */
 @Mapper
 public interface AiMindMapMapper extends BaseMapperX<AiMindMapDO> {
+
+    default PageResult<AiMindMapDO> selectPage(AiMindMapPageReqVO reqVO) {
+        return selectPage(reqVO, new LambdaQueryWrapperX<AiMindMapDO>()
+                .eqIfPresent(AiMindMapDO::getUserId, reqVO.getUserId())
+                .eqIfPresent(AiMindMapDO::getPrompt, reqVO.getPrompt())
+                .betweenIfPresent(AiMindMapDO::getCreateTime, reqVO.getCreateTime())
+                .orderByDesc(AiMindMapDO::getId));
+    }
+
 }
 package cn.iocoder.yudao.module.ai.service.mindmap;
 import cn.iocoder.yudao.framework.common.pojo.CommonResult;
+import cn.iocoder.yudao.framework.common.pojo.PageResult;
 import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapGenerateReqVO;
+import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapPageReqVO;
+import cn.iocoder.yudao.module.ai.dal.dataobject.mindmap.AiMindMapDO;
 import reactor.core.publisher.Flux;
 /**
@@ -20,4 +23,19 @@ public interface AiMindMapService {
      */
     Flux<CommonResult<String>> generateMindMap(AiMindMapGenerateReqVO generateReqVO, Long userId);
+    /**
+     * 删除思维导图
+     *
+     * @param id 编号
+     */
+    void deleteMindMap(Long id);
+
+    /**
+     * 获得思维导图分页
+     *
+     * @param pageReqVO 分页查询
+     * @return 思维导图分页
+     */
+    PageResult<AiMindMapDO> getMindMapPage(AiMindMapPageReqVO pageReqVO);
+
 }
@@ -6,9 +6,11 @@ import cn.hutool.core.util.StrUtil;
 import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
 import cn.iocoder.yudao.framework.ai.core.util.AiUtils;
 import cn.iocoder.yudao.framework.common.pojo.CommonResult;
+import cn.iocoder.yudao.framework.common.pojo.PageResult;
 import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
 import cn.iocoder.yudao.framework.tenant.core.util.TenantUtils;
 import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapGenerateReqVO;
+import cn.iocoder.yudao.module.ai.controller.admin.mindmap.vo.AiMindMapPageReqVO;
 import cn.iocoder.yudao.module.ai.dal.dataobject.mindmap.AiMindMapDO;
 import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
 import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatRoleDO;
@@ -33,8 +35,10 @@ import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
 import static cn.iocoder.yudao.framework.common.pojo.CommonResult.error;
 import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
+import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.MIND_MAP_NOT_EXISTS;
 /**
  * AI 思维导图 Service 实现类
@@ -57,10 +61,10 @@ public class AiMindMapServiceImpl implements AiMindMapService {
     @Override
     public Flux<CommonResult<String>> generateMindMap(AiMindMapGenerateReqVO generateReqVO, Long userId) {
-        // 1. 获取脑图模型。尝试获取思维导图助手角色，如果没有则使用默认模型
+        // 1. 获取导图模型。尝试获取思维导图助手角色，如果没有则使用默认模型
         AiChatRoleDO role = CollUtil.getFirst(
                 chatRoleService.getChatRoleListByName(AiChatRoleEnum.AI_MIND_MAP_ROLE.getName()));
-        // 1.1 获取脑图执行模型
+        // 1.1 获取导图执行模型
         AiChatModelDO model = getModel(role);
         // 1.2 获取角色设定消息
         String systemMessage = role != null && StrUtil.isNotBlank(role.getSystemMessage())
@@ -131,4 +135,23 @@ public class AiMindMapServiceImpl implements AiMindMapService {
         return model;
     }
+    @Override
+    public void deleteMindMap(Long id) {
+        // 校验存在
+        validateMindMapExists(id);
+        // 删除
+        mindMapMapper.deleteById(id);
+    }
+
+    private void validateMindMapExists(Long id) {
+        if (mindMapMapper.selectById(id) == null) {
+            throw exception(MIND_MAP_NOT_EXISTS);
+        }
+    }
+
+    @Override
+    public PageResult<AiMindMapDO> getMindMapPage(AiMindMapPageReqVO pageReqVO) {
+        return mindMapMapper.selectPage(pageReqVO);
+    }
+
 }
@@ -23,7 +23,6 @@
             <artifactId>spring-ai-zhipuai-spring-boot-starter</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
-
         <dependency>
             <groupId>org.springframework.ai</groupId>
             <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
@@ -31,6 +30,11 @@
         </dependency>
         <dependency>
             <groupId>org.springframework.ai</groupId>
+            <artifactId>spring-ai-azure-openai-spring-boot-starter</artifactId>
+            <version>${spring-ai.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>org.springframework.ai</groupId>
             <artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
             <version>${spring-ai.version}</version>
         </dependency>
@@ -12,6 +12,7 @@ import com.alibaba.cloud.ai.tongyi.TongYiAutoConfiguration;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.ai.autoconfigure.vectorstore.redis.RedisVectorStoreProperties;
 import org.springframework.ai.document.MetadataMode;
+import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.transformer.splitter.TokenTextSplitter;
 import org.springframework.ai.transformers.TransformersEmbeddingModel;
 import org.springframework.ai.vectorstore.RedisVectorStore;
@@ -21,6 +22,7 @@ import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
 import org.springframework.boot.context.properties.EnableConfigurationProperties;
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Import;
+import org.springframework.context.annotation.Lazy;
 import redis.clients.jedis.JedisPooled;
 /**
@@ -82,7 +84,8 @@ public class YudaoAiAutoConfiguration {
     // ========== rag 相关 ==========
     @Bean
-    public TransformersEmbeddingModel transformersEmbeddingClient() {
+    @Lazy // TODO 芋艿：临时注释，避免无法启动
+    public EmbeddingModel transformersEmbeddingClient() {
         return new TransformersEmbeddingModel(MetadataMode.EMBED);
     }
@@ -90,6 +93,7 @@ public class YudaoAiAutoConfiguration {
      * 我们启动有加载很多 Embedding 模型，不晓得取哪个好，先 new 个 TransformersEmbeddingModel 跑
      */
     @Bean
+    @Lazy // TODO 芋艿：临时注释，避免无法启动
     public RedisVectorStore vectorStore(TransformersEmbeddingModel transformersEmbeddingModel, RedisVectorStoreProperties properties,
                                         RedisProperties redisProperties) {
         var config = RedisVectorStore.RedisVectorStoreConfig.builder()
@@ -105,6 +109,7 @@ public class YudaoAiAutoConfiguration {
     }
     @Bean
+    @Lazy // TODO 芋艿：临时注释，避免无法启动
     public TokenTextSplitter tokenTextSplitter() {
         return new TokenTextSplitter(500, 100, 5, 10000, true);
     }
@@ -22,7 +22,8 @@ public enum AiPlatformEnum {
     // ========== 国外平台 ==========
-    OPENAI("OpenAI", "OpenAI"),
+    OPENAI("OpenAI", "OpenAI"), // OpenAI 官方
+    AZURE_OPENAI("AzureOpenAI", "AzureOpenAI"), // OpenAI 微软
     OLLAMA("Ollama", "Ollama"),
     STABLE_DIFFUSION("StableDiffusion", "StableDiffusion"), // Stability AI
@@ -21,6 +21,10 @@ import com.alibaba.cloud.ai.tongyi.image.TongYiImagesModel;
 import com.alibaba.cloud.ai.tongyi.image.TongYiImagesProperties;
 import com.alibaba.dashscope.aigc.generation.Generation;
 import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesis;
+import com.azure.ai.openai.OpenAIClient;
+import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiAutoConfiguration;
+import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiChatProperties;
+import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiConnectionProperties;
 import org.springframework.ai.autoconfigure.ollama.OllamaAutoConfiguration;
 import org.springframework.ai.autoconfigure.openai.OpenAiAutoConfiguration;
 import org.springframework.ai.autoconfigure.qianfan.QianFanAutoConfiguration;
@@ -31,6 +35,7 @@ import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiAutoConfiguration;
 import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiChatProperties;
 import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiConnectionProperties;
 import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiImageProperties;
+import org.springframework.ai.azure.openai.AzureOpenAiChatModel;
 import org.springframework.ai.chat.model.ChatModel;
 import org.springframework.ai.image.ImageModel;
 import org.springframework.ai.model.function.FunctionCallbackContext;
@@ -82,6 +87,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
                     return buildXingHuoChatModel(apiKey);
                 case OPENAI:
                     return buildOpenAiChatModel(apiKey, url);
+                case AZURE_OPENAI:
+                    return buildAzureOpenAiChatModel(apiKey, url);
                 case OLLAMA:
                     return buildOllamaChatModel(url);
                 default:
@@ -106,6 +113,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
                 return SpringUtil.getBean(XingHuoChatModel.class);
             case OPENAI:
                 return SpringUtil.getBean(OpenAiChatModel.class);
+            case AZURE_OPENAI:
+                return SpringUtil.getBean(AzureOpenAiChatModel.class);
             case OLLAMA:
                 return SpringUtil.getBean(OllamaChatModel.class);
             default:
@@ -269,6 +278,21 @@ public class AiModelFactoryImpl implements AiModelFactory {
     }
     /**
+     * 可参考 {@link AzureOpenAiAutoConfiguration}
+     */
+    private static AzureOpenAiChatModel buildAzureOpenAiChatModel(String apiKey, String url) {
+        AzureOpenAiAutoConfiguration azureOpenAiAutoConfiguration = new AzureOpenAiAutoConfiguration();
+        // 创建 OpenAIClient 对象
+        AzureOpenAiConnectionProperties connectionProperties = new AzureOpenAiConnectionProperties();
+        connectionProperties.setApiKey(apiKey);
+        connectionProperties.setEndpoint(url);
+        OpenAIClient openAIClient = azureOpenAiAutoConfiguration.openAIClient(connectionProperties);
+        // 获取 AzureOpenAiChatProperties 对象
+        AzureOpenAiChatProperties chatProperties = SpringUtil.getBean(AzureOpenAiChatProperties.class);
+        return azureOpenAiAutoConfiguration.azureOpenAiChatModel(openAIClient, chatProperties, null, null);
+    }
+
+    /**
      * 可参考 {@link OpenAiAutoConfiguration}
      */
     private OpenAiImageModel buildOpenAiImageModel(String openAiToken, String url) {
@@ -5,6 +5,7 @@ import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
 import cn.iocoder.yudao.framework.ai.core.model.deepseek.DeepSeekChatOptions;
 import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatOptions;
 import com.alibaba.cloud.ai.tongyi.chat.TongYiChatOptions;
+import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
 import org.springframework.ai.chat.messages.*;
 import org.springframework.ai.chat.prompt.ChatOptions;
 import org.springframework.ai.ollama.api.OllamaOptions;
@@ -35,6 +36,9 @@ public class AiUtils {
                 return XingHuoChatOptions.builder().model(model).temperature(temperatureF).maxTokens(maxTokens).build();
             case OPENAI:
                 return OpenAiChatOptions.builder().withModel(model).withTemperature(temperatureF).withMaxTokens(maxTokens).build();
+            case AZURE_OPENAI:
+                // TODO 芋艿：貌似没 model 字段？？？！
+                return AzureOpenAiChatOptions.builder().withDeploymentName(model).withTemperature(temperatureF).withMaxTokens(maxTokens).build();
             case OLLAMA:
                 return OllamaOptions.create().withModel(model).withTemperature(temperatureF).withNumPredict(maxTokens);
             default:
+package cn.iocoder.yudao.framework.ai.chat;
+
+import com.azure.ai.openai.OpenAIClient;
+import com.azure.ai.openai.OpenAIClientBuilder;
+import com.azure.core.credential.AzureKeyCredential;
+import com.azure.core.util.ClientOptions;
+import org.junit.jupiter.api.Disabled;
+import org.junit.jupiter.api.Test;
+import org.springframework.ai.azure.openai.AzureOpenAiChatModel;
+import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
+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 reactor.core.publisher.Flux;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import static org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiChatProperties.DEFAULT_DEPLOYMENT_NAME;
+
+/**
+ * {@link AzureOpenAiChatModel} 集成测试
+ *
+ * @author 芋道源码
+ */
+public class AzureOpenAIChatModelTests {
+
+    private final OpenAIClient openAiApi = (new OpenAIClientBuilder())
+            .endpoint("https://eastusprejade.openai.azure.com")
+            .credential(new AzureKeyCredential("xxx"))
+            .clientOptions((new ClientOptions()).setApplicationId("spring-ai"))
+            .buildClient();
+    private final AzureOpenAiChatModel chatModel = new AzureOpenAiChatModel(openAiApi,
+            AzureOpenAiChatOptions.builder().withDeploymentName(DEFAULT_DEPLOYMENT_NAME).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();
+    }
+
+}
 package cn.iocoder.yudao.framework.ai.chat;
-import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
 import org.springframework.ai.chat.messages.Message;
@@ -17,7 +16,7 @@ import java.util.ArrayList;
 import java.util.List;
 /**
- * {@link XingHuoChatModel} 集成测试
+ * {@link OpenAiChatModel} 集成测试
  *
  * @author 芋道源码
  */
@@ -162,9 +162,13 @@ spring:
       secret-key: R9mYF9dl9KASgi5RUq0FQt3wRisSnOcK
     zhipuai: # 智谱 AI
       api-key: 32f84543e54eee31f8d56b2bd6020573.3vh9idLJZ2ZhxDEs
-    openai:
+    openai: # OpenAI 官方
       api-key: sk-yzKea6d8e8212c3bdd99f9f44ced1cae37c097e5aa3BTS7z
       base-url: https://api.gptsapi.net
+    azure: # OpenAI 微软
+      openai:
+        endpoint: https://eastusprejade.openai.azure.com
+        api-key: xxx
     ollama:
       base-url: http://127.0.0.1:11434
       chat: