feat(ai): 优化大模型兼容接入

YunaiV
1 parent 0cb951f3
Showing 33 changed files with 1169 additions and 557 deletions
yudao-module-ai/pom.xml
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/enums/ErrorCodeConstants.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/enums/model/AiPlatformEnum.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/config/AiAutoConfiguration.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/config/YudaoAiProperties.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/AiModelFactoryImpl.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/baichuan/BaiChuanChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/doubao/DouBaoChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/grok/GrokChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/hunyuan/HunYuanChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/minimax/MiniMaxChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/moonshot/MoonshotChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/stepfun/StepFunChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/xinghuo/XingHuoChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/yiyan/YiYanChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/zhipu/ZhiPuChatModel.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/service/image/AiImageServiceImpl.java
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/util/AiUtils.java
yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/BaiChuanChatModelTests.java
yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/DeepSeekChatModelTests.java
@@ -19,12 +19,24 @@
           国外：OpenAI、Ollama、Midjourney、StableDiffusion、Suno
     </description>
     <properties>
-        <spring-ai.version>1.1.5</spring-ai.version>
+        <spring-ai.version>1.1.8</spring-ai.version>
         <!-- https://mvnrepository.com/artifact/com.alibaba.cloud.ai/spring-ai-alibaba -->
         <alibaba-ai.version>1.1.2.2</alibaba-ai.version>
         <tinyflow.version>1.2.6</tinyflow.version>
     </properties>
+    <dependencyManagement>
+        <dependencies>
+            <dependency>
+                <groupId>org.springframework.ai</groupId>
+                <artifactId>spring-ai-bom</artifactId>
+                <version>${spring-ai.version}</version>
+                <type>pom</type>
+                <scope>import</scope>
+            </dependency>
+        </dependencies>
+    </dependencyManagement>
+
     <dependencies>
         <dependency>
             <groupId>cn.iocoder.boot</groupId>
@@ -112,37 +124,11 @@
             <version>${spring-ai.version}</version>
         </dependency>
         <dependency>
-            <!-- 智谱 GLM -->
-            <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-starter-model-zhipuai</artifactId>
-            <version>${spring-ai.version}</version>
-        </dependency>
-        <dependency>
-            <groupId>org.springframework.ai</groupId>
-            <artifactId>spring-ai-starter-model-minimax</artifactId>
-            <version>${spring-ai.version}</version>
-        </dependency>
-
-        <dependency>
             <!-- 通义千问 -->
             <groupId>com.alibaba.cloud.ai</groupId>
             <artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
             <version>${alibaba-ai.version}</version>
         </dependency>
-
-        <dependency>
-            <!-- 文心一言 -->
-            <groupId>org.springaicommunity</groupId>
-            <artifactId>qianfan-spring-boot-starter</artifactId>
-            <version>1.0.0</version>
-        </dependency>
-        <dependency>
-            <!-- 月之暗面 -->
-            <groupId>org.springaicommunity</groupId>
-            <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/ -->
@@ -260,4 +246,4 @@
         </dependency>
     </dependencies>
-</project>
 \ No newline at end of file
+</project>
@@ -12,6 +12,7 @@ public interface ErrorCodeConstants {
     // ========== API 密钥 1-040-000-000 ==========
     ErrorCode API_KEY_NOT_EXISTS = new ErrorCode(1_040_000_000, "API 密钥不存在");
     ErrorCode API_KEY_DISABLE = new ErrorCode(1_040_000_001, "API 密钥已禁用！");
+    ErrorCode API_CONFIG_PLACEHOLDER_NOT_RESOLVED = new ErrorCode(1_040_000_002, "AI 配置({})无法解析，请检查环境变量或配置项");
     // ========== API 模型 1-040-001-000 ==========
     ErrorCode MODEL_NOT_EXISTS = new ErrorCode(1_040_001_000, "模型不存在!");
@@ -28,6 +28,7 @@ public enum AiPlatformEnum implements ArrayValuable&lt;String&gt; {
     MINI_MAX("MiniMax", "MiniMax"), // 稀宇科技
     MOONSHOT("Moonshot", "月之暗面"), // KIMI
     BAI_CHUAN("BaiChuan", "百川智能"), // 百川智能
+    STEP_FUN("StepFun", "阶跃星辰"), // 阶跃星辰
     // ========== 国外平台 ==========
@@ -40,7 +41,7 @@ public enum AiPlatformEnum implements ArrayValuable&lt;String&gt; {
     STABLE_DIFFUSION("StableDiffusion", "StableDiffusion"), // Stability AI
     MIDJOURNEY("Midjourney", "Midjourney"), // Midjourney
     SUNO("Suno", "Suno"), // Suno AI
-    GROK("Grok","Grok"), // Grok
+    GROK("Grok", "Grok"), // Grok
     ;
@@ -10,10 +10,15 @@ import cn.iocoder.yudao.module.ai.framework.ai.core.model.gemini.GeminiChatModel
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.grok.GrokChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.hunyuan.HunYuanChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.midjourney.api.MidjourneyApi;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.minimax.MiniMaxChatModel;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.moonshot.MoonshotChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlowApiConstants;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlowChatModel;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.stepfun.StepFunChatModel;
 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 cn.iocoder.yudao.module.ai.framework.ai.core.model.yiyan.YiYanChatModel;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.zhipu.ZhiPuChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.webserch.AiWebSearchClient;
 import cn.iocoder.yudao.module.ai.framework.ai.core.webserch.bocha.AiBoChaWebSearchClient;
 import cn.iocoder.yudao.module.ai.tool.method.PersonService;
@@ -44,7 +49,6 @@ import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;
 import java.util.List;
-import java.util.Optional;
 /**
  * 芋道 AI 自动配置
@@ -113,13 +117,13 @@ public class AiAutoConfiguration {
         if (StrUtil.isEmpty(properties.getModel())) {
             properties.setModel(DouBaoChatModel.MODEL_DEFAULT);
         }
-        OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
-                .openAiApi(OpenAiApi.builder()
+        DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
+                .deepSeekApi(DeepSeekApi.builder()
                         .baseUrl(DouBaoChatModel.BASE_URL)
                         .completionsPath(DouBaoChatModel.COMPLETE_PATH)
                         .apiKey(properties.getApiKey())
                         .build())
-                .defaultOptions(OpenAiChatOptions.builder()
+                .defaultOptions(DeepSeekChatOptions.builder()
                         .model(properties.getModel())
                         .temperature(properties.getTemperature())
                         .maxTokens(properties.getMaxTokens())
@@ -168,11 +172,8 @@ public class AiAutoConfiguration {
         if (StrUtil.isEmpty(properties.getModel())) {
             properties.setModel(HunYuanChatModel.MODEL_DEFAULT);
         }
-        // 特殊：由于混元大模型不提供 deepseek，而是通过知识引擎，所以需要区分下 URL
         if (StrUtil.isEmpty(properties.getBaseUrl())) {
-            properties.setBaseUrl(
-                    StrUtil.startWithIgnoreCase(properties.getModel(), "deepseek") ? HunYuanChatModel.DEEP_SEEK_BASE_URL
-                            : HunYuanChatModel.BASE_URL);
+            properties.setBaseUrl(HunYuanChatModel.BASE_URL);
         }
         // 创建 DeepSeekChatModel、HunYuanChatModel 对象
         DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
@@ -203,25 +204,15 @@ public class AiAutoConfiguration {
         if (StrUtil.isEmpty(properties.getModel())) {
             properties.setModel(XingHuoChatModel.MODEL_DEFAULT);
         }
-        OpenAiApi.Builder builder = OpenAiApi.builder()
-                .baseUrl(XingHuoChatModel.BASE_URL_V1)
-                .apiKey(properties.getAppKey() + ":" + properties.getSecretKey());
-        if ("x1".equals(properties.getModel())) {
-            builder.baseUrl(XingHuoChatModel.BASE_URL_V2)
-                    .completionsPath(XingHuoChatModel.BASE_COMPLETIONS_PATH_V2);
-        }
-        OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
-                .openAiApi(builder.build())
-                .defaultOptions(OpenAiChatOptions.builder()
+        return XingHuoChatModel.builder()
+                .apiKey(properties.getApiKey())
+                .options(DeepSeekChatOptions.builder()
                         .model(properties.getModel())
                         .temperature(properties.getTemperature())
                         .maxTokens(properties.getMaxTokens())
                         .topP(properties.getTopP())
                         .build())
-                // TODO @芋艿：星火的 function call 有 bug，会报 ToolResponseMessage must have an id 错误！！！
-                .toolCallingManager(getToolCallingManager())
                 .build();
-        return new XingHuoChatModel(openAiChatModel);
     }
     @Bean
@@ -235,12 +226,13 @@ public class AiAutoConfiguration {
         if (StrUtil.isEmpty(properties.getModel())) {
             properties.setModel(BaiChuanChatModel.MODEL_DEFAULT);
         }
-        OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
-                .openAiApi(OpenAiApi.builder()
+        DeepSeekChatModel deepSeekChatModel = DeepSeekChatModel.builder()
+                .deepSeekApi(DeepSeekApi.builder()
                         .baseUrl(BaiChuanChatModel.BASE_URL)
                         .apiKey(properties.getApiKey())
+                        .completionsPath(BaiChuanChatModel.COMPLETE_PATH)
                         .build())
-                .defaultOptions(OpenAiChatOptions.builder()
+                .defaultOptions(DeepSeekChatOptions.builder()
                         .model(properties.getModel())
                         .temperature(properties.getTemperature())
                         .maxTokens(properties.getMaxTokens())
@@ -248,7 +240,123 @@ public class AiAutoConfiguration {
                         .build())
                 .toolCallingManager(getToolCallingManager())
                 .build();
-        return new BaiChuanChatModel(openAiChatModel);
+        return new BaiChuanChatModel(deepSeekChatModel);
+    }
+
+    @Bean
+    @ConditionalOnProperty(value = "yudao.ai.yiyan.enable", havingValue = "true")
+    public YiYanChatModel yiYanChatClient(YudaoAiProperties yudaoAiProperties) {
+        YudaoAiProperties.YiYan properties = yudaoAiProperties.getYiyan();
+        return buildYiYanChatClient(properties);
+    }
+
+    public YiYanChatModel buildYiYanChatClient(YudaoAiProperties.YiYan properties) {
+        if (StrUtil.isEmpty(properties.getModel())) {
+            properties.setModel(YiYanChatModel.MODEL_DEFAULT);
+        }
+        return new YiYanChatModel(buildDeepSeekCompatibleChatModel(
+                StrUtil.blankToDefault(properties.getBaseUrl(), YiYanChatModel.BASE_URL),
+                null, properties.getApiKey(), properties.getModel(), properties.getTemperature(),
+                properties.getMaxTokens(), properties.getTopP()));
+    }
+
+    @Bean
+    @ConditionalOnProperty(value = "yudao.ai.zhipu.enable", havingValue = "true")
+    public ZhiPuChatModel zhiPuChatClient(YudaoAiProperties yudaoAiProperties) {
+        YudaoAiProperties.ZhiPu properties = yudaoAiProperties.getZhipu();
+        return buildZhiPuChatClient(properties);
+    }
+
+    public ZhiPuChatModel buildZhiPuChatClient(YudaoAiProperties.ZhiPu properties) {
+        if (StrUtil.isEmpty(properties.getModel())) {
+            properties.setModel(ZhiPuChatModel.MODEL_DEFAULT);
+        }
+        DeepSeekChatModel deepSeekChatModel = DeepSeekChatModel.builder()
+                .deepSeekApi(DeepSeekApi.builder()
+                        .baseUrl(StrUtil.blankToDefault(properties.getBaseUrl(), ZhiPuChatModel.BASE_URL))
+                        .apiKey(properties.getApiKey())
+                        .build())
+                .defaultOptions(DeepSeekChatOptions.builder()
+                        .model(properties.getModel())
+                        .temperature(properties.getTemperature())
+                        .maxTokens(properties.getMaxTokens())
+                        .topP(properties.getTopP())
+                        .build())
+                .build();
+        return new ZhiPuChatModel(deepSeekChatModel);
+    }
+
+    @Bean
+    @ConditionalOnProperty(value = "yudao.ai.minimax.enable", havingValue = "true")
+    public MiniMaxChatModel miniMaxChatClient(YudaoAiProperties yudaoAiProperties) {
+        YudaoAiProperties.MiniMax properties = yudaoAiProperties.getMinimax();
+        return buildMiniMaxChatClient(properties);
+    }
+
+    public MiniMaxChatModel buildMiniMaxChatClient(YudaoAiProperties.MiniMax properties) {
+        if (StrUtil.isEmpty(properties.getModel())) {
+            properties.setModel(MiniMaxChatModel.MODEL_DEFAULT);
+        }
+        return new MiniMaxChatModel(buildDeepSeekCompatibleChatModel(
+                StrUtil.blankToDefault(properties.getBaseUrl(), MiniMaxChatModel.BASE_URL),
+                null, properties.getApiKey(), properties.getModel(), properties.getTemperature(),
+                properties.getMaxTokens(), properties.getTopP()));
+    }
+
+    @Bean
+    @ConditionalOnProperty(value = "yudao.ai.moonshot.enable", havingValue = "true")
+    public MoonshotChatModel moonshotChatClient(YudaoAiProperties yudaoAiProperties) {
+        YudaoAiProperties.Moonshot properties = yudaoAiProperties.getMoonshot();
+        return buildMoonshotChatClient(properties);
+    }
+
+    public MoonshotChatModel buildMoonshotChatClient(YudaoAiProperties.Moonshot properties) {
+        if (StrUtil.isEmpty(properties.getModel())) {
+            properties.setModel(MoonshotChatModel.MODEL_DEFAULT);
+        }
+        return new MoonshotChatModel(buildDeepSeekCompatibleChatModel(
+                StrUtil.blankToDefault(properties.getBaseUrl(), MoonshotChatModel.BASE_URL),
+                MoonshotChatModel.COMPLETE_PATH, properties.getApiKey(), properties.getModel(),
+                properties.getTemperature(), properties.getMaxTokens(), properties.getTopP()));
+    }
+
+    @Bean
+    @ConditionalOnProperty(value = "yudao.ai.stepfun.enable", havingValue = "true")
+    public StepFunChatModel stepFunChatClient(YudaoAiProperties yudaoAiProperties) {
+        YudaoAiProperties.StepFun properties = yudaoAiProperties.getStepfun();
+        return buildStepFunChatClient(properties);
+    }
+
+    public StepFunChatModel buildStepFunChatClient(YudaoAiProperties.StepFun properties) {
+        if (StrUtil.isEmpty(properties.getModel())) {
+            properties.setModel(StepFunChatModel.MODEL_DEFAULT);
+        }
+        return new StepFunChatModel(buildDeepSeekCompatibleChatModel(
+                StrUtil.blankToDefault(properties.getBaseUrl(), StepFunChatModel.BASE_URL),
+                StepFunChatModel.COMPLETE_PATH, properties.getApiKey(), properties.getModel(),
+                properties.getTemperature(), properties.getMaxTokens(), properties.getTopP()));
+    }
+
+    private static DeepSeekChatModel buildDeepSeekCompatibleChatModel(String baseUrl, String completionsPath,
+                                                                     String apiKey, String model,
+                                                                     Double temperature, Integer maxTokens,
+                                                                     Double topP) {
+        DeepSeekApi.Builder apiBuilder = DeepSeekApi.builder()
+                .baseUrl(baseUrl)
+                .apiKey(apiKey);
+        if (StrUtil.isNotEmpty(completionsPath)) {
+            apiBuilder.completionsPath(completionsPath);
+        }
+        return DeepSeekChatModel.builder()
+                .deepSeekApi(apiBuilder.build())
+                .defaultOptions(DeepSeekChatOptions.builder()
+                        .model(model)
+                        .temperature(temperature)
+                        .maxTokens(maxTokens)
+                        .topP(topP)
+                        .build())
+                .toolCallingManager(getToolCallingManager())
+                .build();
     }
     @Bean
@@ -264,14 +372,20 @@ public class AiAutoConfiguration {
         return new SunoApi(yudaoAiProperties.getSuno().getBaseUrl());
     }
-    public ChatModel buildGrokChatClient(YudaoAiProperties.Grok properties) {
+    @Bean
+    @ConditionalOnProperty(value = "yudao.ai.grok.enable", havingValue = "true")
+    public GrokChatModel grokChatClient(YudaoAiProperties yudaoAiProperties) {
+        YudaoAiProperties.Grok properties = yudaoAiProperties.getGrok();
+        return buildGrokChatClient(properties);
+    }
+
+    public GrokChatModel buildGrokChatClient(YudaoAiProperties.Grok properties) {
         if (StrUtil.isEmpty(properties.getModel())) {
             properties.setModel(GrokChatModel.MODEL_DEFAULT);
         }
         OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
                 .openAiApi(OpenAiApi.builder()
-                        .baseUrl(Optional.ofNullable(properties.getBaseUrl())
-                                .orElse(GrokChatModel.BASE_URL))
+                        .baseUrl(StrUtil.blankToDefault(properties.getBaseUrl(), GrokChatModel.BASE_URL))
                         .completionsPath(GrokChatModel.COMPLETE_PATH)
                         .apiKey(properties.getApiKey())
                         .build())
@@ -283,7 +397,7 @@ public class AiAutoConfiguration {
                         .build())
                 .toolCallingManager(getToolCallingManager())
                 .build();
-        return new DouBaoChatModel(openAiChatModel);
+        return new GrokChatModel(openAiChatModel);
     }
     // ========== RAG 相关 ==========
@@ -320,4 +434,4 @@ public class AiAutoConfiguration {
         return List.of(ToolCallbacks.from(personService));
     }
-}
 \ No newline at end of file
+}
@@ -44,6 +44,36 @@ public class YudaoAiProperties {
     private BaiChuan baichuan;
     /**
+     * 文心一言
+     */
+    private YiYan yiyan;
+
+    /**
+     * 智谱
+     */
+    private ZhiPu zhipu;
+
+    /**
+     * MiniMax
+     */
+    private MiniMax minimax;
+
+    /**
+     * 月之暗面
+     */
+    private Moonshot moonshot;
+
+    /**
+     * 阶跃星辰
+     */
+    private StepFun stepfun;
+
+    /**
+     * Grok
+     */
+    private Grok grok;
+
+    /**
      * Midjourney 绘图
      */
     private Midjourney midjourney;
@@ -116,9 +146,7 @@ public class YudaoAiProperties {
     public static class XingHuo {
         private String enable;
-        private String appId;
-        private String appKey;
-        private String secretKey;
+        private String apiKey;
         private String model;
         private Double temperature;
@@ -141,6 +169,76 @@ public class YudaoAiProperties {
     }
     @Data
+    public static class YiYan {
+
+        private String enable;
+        private String baseUrl;
+        private String apiKey;
+
+        private String model;
+        private Double temperature;
+        private Integer maxTokens;
+        private Double topP;
+
+    }
+
+    @Data
+    public static class ZhiPu {
+
+        private String enable;
+        private String baseUrl;
+        private String apiKey;
+
+        private String model;
+        private Double temperature;
+        private Integer maxTokens;
+        private Double topP;
+
+    }
+
+    @Data
+    public static class MiniMax {
+
+        private String enable;
+        private String baseUrl;
+        private String apiKey;
+
+        private String model;
+        private Double temperature;
+        private Integer maxTokens;
+        private Double topP;
+
+    }
+
+    @Data
+    public static class Moonshot {
+
+        private String enable;
+        private String baseUrl;
+        private String apiKey;
+
+        private String model;
+        private Double temperature;
+        private Integer maxTokens;
+        private Double topP;
+
+    }
+
+    @Data
+    public static class StepFun {
+
+        private String enable;
+        private String apiKey;
+        private String baseUrl;
+
+        private String model;
+        private Double temperature;
+        private Integer maxTokens;
+        private Double topP;
+
+    }
+
+    @Data
     public static class Midjourney {
         private String enable;
 package cn.iocoder.yudao.module.ai.framework.ai.core.model;
 import cn.hutool.core.io.FileUtil;
-import cn.hutool.core.lang.Assert;
 import cn.hutool.core.lang.Singleton;
 import cn.hutool.core.lang.func.Func0;
 import cn.hutool.core.util.ArrayUtil;
@@ -15,14 +14,21 @@ import cn.iocoder.yudao.module.ai.framework.ai.config.YudaoAiProperties;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.baichuan.BaiChuanChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.doubao.DouBaoChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.gemini.GeminiChatModel;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.grok.GrokChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.hunyuan.HunYuanChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.midjourney.api.MidjourneyApi;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.minimax.MiniMaxChatModel;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.moonshot.MoonshotChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlowApiConstants;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlowChatModel;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlowImageApi;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.siliconflow.SiliconFlowImageModel;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.stepfun.StepFunChatModel;
 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 cn.iocoder.yudao.module.ai.framework.ai.core.model.yiyan.YiYanChatModel;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.zhipu.ZhiPuChatModel;
+import cn.iocoder.yudao.module.ai.util.AiUtils;
 import com.alibaba.cloud.ai.autoconfigure.dashscope.DashScopeChatAutoConfiguration;
 import com.alibaba.cloud.ai.autoconfigure.dashscope.DashScopeEmbeddingAutoConfiguration;
 import com.alibaba.cloud.ai.autoconfigure.dashscope.DashScopeImageAutoConfiguration;
@@ -40,18 +46,6 @@ import io.milvus.client.MilvusServiceClient;
 import io.qdrant.client.QdrantClient;
 import io.qdrant.client.QdrantGrpcClient;
 import lombok.SneakyThrows;
-import org.springaicommunity.moonshot.MoonshotChatModel;
-import org.springaicommunity.moonshot.MoonshotChatOptions;
-import org.springaicommunity.moonshot.api.MoonshotApi;
-import org.springaicommunity.moonshot.autoconfigure.MoonshotChatAutoConfiguration;
-import org.springaicommunity.qianfan.QianFanChatModel;
-import org.springaicommunity.qianfan.QianFanEmbeddingModel;
-import org.springaicommunity.qianfan.QianFanEmbeddingOptions;
-import org.springaicommunity.qianfan.QianFanImageModel;
-import org.springaicommunity.qianfan.api.QianFanApi;
-import org.springaicommunity.qianfan.api.QianFanImageApi;
-import org.springaicommunity.qianfan.autoconfigure.QianFanChatAutoConfiguration;
-import org.springaicommunity.qianfan.autoconfigure.QianFanEmbeddingAutoConfiguration;
 import org.springframework.ai.azure.openai.AzureOpenAiChatModel;
 import org.springframework.ai.azure.openai.AzureOpenAiEmbeddingModel;
 import org.springframework.ai.chat.model.ChatModel;
@@ -63,27 +57,17 @@ import org.springframework.ai.embedding.BatchingStrategy;
 import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.embedding.observation.EmbeddingModelObservationConvention;
 import org.springframework.ai.image.ImageModel;
-import org.springframework.ai.minimax.MiniMaxChatModel;
-import org.springframework.ai.minimax.MiniMaxChatOptions;
-import org.springframework.ai.minimax.MiniMaxEmbeddingModel;
-import org.springframework.ai.minimax.MiniMaxEmbeddingOptions;
-import org.springframework.ai.minimax.api.MiniMaxApi;
 import org.springframework.ai.model.anthropic.autoconfigure.AnthropicChatAutoConfiguration;
 import org.springframework.ai.model.azure.openai.autoconfigure.AzureOpenAiChatAutoConfiguration;
 import org.springframework.ai.model.azure.openai.autoconfigure.AzureOpenAiEmbeddingAutoConfiguration;
 import org.springframework.ai.model.azure.openai.autoconfigure.AzureOpenAiEmbeddingProperties;
 import org.springframework.ai.model.deepseek.autoconfigure.DeepSeekChatAutoConfiguration;
-import org.springframework.ai.model.minimax.autoconfigure.MiniMaxChatAutoConfiguration;
-import org.springframework.ai.model.minimax.autoconfigure.MiniMaxEmbeddingAutoConfiguration;
 import org.springframework.ai.model.ollama.autoconfigure.OllamaChatAutoConfiguration;
 import org.springframework.ai.model.openai.autoconfigure.OpenAiChatAutoConfiguration;
 import org.springframework.ai.model.openai.autoconfigure.OpenAiEmbeddingAutoConfiguration;
 import org.springframework.ai.model.openai.autoconfigure.OpenAiImageAutoConfiguration;
 import org.springframework.ai.model.stabilityai.autoconfigure.StabilityAiImageAutoConfiguration;
 import org.springframework.ai.model.tool.ToolCallingManager;
-import org.springframework.ai.model.zhipuai.autoconfigure.ZhiPuAiChatAutoConfiguration;
-import org.springframework.ai.model.zhipuai.autoconfigure.ZhiPuAiEmbeddingAutoConfiguration;
-import org.springframework.ai.model.zhipuai.autoconfigure.ZhiPuAiImageAutoConfiguration;
 import org.springframework.ai.ollama.OllamaChatModel;
 import org.springframework.ai.ollama.OllamaEmbeddingModel;
 import org.springframework.ai.ollama.api.OllamaApi;
@@ -114,13 +98,9 @@ import org.springframework.ai.vectorstore.qdrant.autoconfigure.QdrantVectorStore
 import org.springframework.ai.vectorstore.redis.RedisVectorStore;
 import org.springframework.ai.vectorstore.redis.autoconfigure.RedisVectorStoreAutoConfiguration;
 import org.springframework.ai.vectorstore.redis.autoconfigure.RedisVectorStoreProperties;
-import org.springframework.ai.zhipuai.*;
-import org.springframework.ai.zhipuai.api.ZhiPuAiApi;
-import org.springframework.ai.zhipuai.api.ZhiPuAiImageApi;
 import org.springframework.beans.BeansException;
 import org.springframework.beans.factory.ObjectProvider;
 import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
-import org.springframework.web.client.RestClient;
 import redis.clients.jedis.JedisPooled;
 import java.io.File;
@@ -131,7 +111,6 @@ import java.util.Timer;
 import java.util.TimerTask;
 import static cn.iocoder.yudao.framework.common.util.collection.CollectionUtils.convertList;
-import static org.springframework.ai.retry.RetryUtils.DEFAULT_RETRY_TEMPLATE;
 /**
  * AI Model 模型工厂的实现类
@@ -141,7 +120,9 @@ import static org.springframework.ai.retry.RetryUtils.DEFAULT_RETRY_TEMPLATE;
 public class AiModelFactoryImpl implements AiModelFactory {
     @Override
-    public ChatModel getOrCreateChatModel(AiPlatformEnum platform, String apiKey, String url) {
+    public ChatModel getOrCreateChatModel(AiPlatformEnum platform, String rawApiKey, String rawUrl) {
+        final String apiKey = resolveSpringPlaceholders(rawApiKey);
+        final String url = resolveSpringPlaceholders(rawUrl);
         String cacheKey = buildClientCacheKey(ChatModel.class, platform, apiKey, url);
         return Singleton.get(cacheKey, (Func0<ChatModel>) () -> {
             // noinspection EnhancedSwitchMigration
@@ -164,6 +145,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
                     return buildMiniMaxChatModel(apiKey, url);
                 case MOONSHOT:
                     return buildMoonshotChatModel(apiKey, url);
+                case STEP_FUN:
+                    return buildStepFunChatModel(apiKey, url);
                 case XING_HUO:
                     return buildXingHuoChatModel(apiKey);
                 case BAI_CHUAN:
@@ -179,7 +162,7 @@ public class AiModelFactoryImpl implements AiModelFactory {
                 case OLLAMA:
                     return buildOllamaChatModel(url);
                 case GROK:
-                    return buildGrokChatModel(apiKey,url);
+                    return buildGrokChatModel(apiKey, url);
                 default:
                     throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
             }
@@ -193,7 +176,7 @@ public class AiModelFactoryImpl implements AiModelFactory {
             case TONG_YI:
                 return SpringUtil.getBean(DashScopeChatModel.class);
             case YI_YAN:
-                return SpringUtil.getBean(QianFanChatModel.class);
+                return SpringUtil.getBean(YiYanChatModel.class);
             case DEEP_SEEK:
                 return SpringUtil.getBean(DeepSeekChatModel.class);
             case DOU_BAO:
@@ -203,11 +186,13 @@ public class AiModelFactoryImpl implements AiModelFactory {
             case SILICON_FLOW:
                 return SpringUtil.getBean(SiliconFlowChatModel.class);
             case ZHI_PU:
-                return SpringUtil.getBean(ZhiPuAiChatModel.class);
+                return SpringUtil.getBean(ZhiPuChatModel.class);
             case MINI_MAX:
                 return SpringUtil.getBean(MiniMaxChatModel.class);
             case MOONSHOT:
                 return SpringUtil.getBean(MoonshotChatModel.class);
+            case STEP_FUN:
+                return SpringUtil.getBean(StepFunChatModel.class);
             case XING_HUO:
                 return SpringUtil.getBean(XingHuoChatModel.class);
             case BAI_CHUAN:
@@ -222,6 +207,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
                 return SpringUtil.getBean(GeminiChatModel.class);
             case OLLAMA:
                 return SpringUtil.getBean(OllamaChatModel.class);
+            case GROK:
+                return SpringUtil.getBean(GrokChatModel.class);
             default:
                 throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
         }
@@ -233,10 +220,6 @@ 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:
                 return SpringUtil.getBean(SiliconFlowImageModel.class);
             case OPENAI:
@@ -249,19 +232,17 @@ public class AiModelFactoryImpl implements AiModelFactory {
     }
     @Override
-    public ImageModel getOrCreateImageModel(AiPlatformEnum platform, String apiKey, String url) {
+    public ImageModel getOrCreateImageModel(AiPlatformEnum platform, String rawApiKey, String rawUrl) {
+        String apiKey = resolveSpringPlaceholders(rawApiKey);
+        String url = resolveSpringPlaceholders(rawUrl);
         // noinspection EnhancedSwitchMigration
         switch (platform) {
             case TONG_YI:
                 return buildTongYiImagesModel(apiKey);
-            case YI_YAN:
-                return buildQianFanImageModel(apiKey);
-            case ZHI_PU:
-                return buildZhiPuAiImageModel(apiKey, url);
             case OPENAI:
                 return buildOpenAiImageModel(apiKey, url);
             case SILICON_FLOW:
-                return buildSiliconFlowImageModel(apiKey,url);
+                return buildSiliconFlowImageModel(apiKey, url);
             case STABLE_DIFFUSION:
                 return buildStabilityAiImageModel(apiKey, url);
             default:
@@ -270,9 +251,11 @@ public class AiModelFactoryImpl implements AiModelFactory {
     }
     @Override
-    public MidjourneyApi getOrCreateMidjourneyApi(String apiKey, String url) {
-        String cacheKey = buildClientCacheKey(MidjourneyApi.class, AiPlatformEnum.MIDJOURNEY.getPlatform(), apiKey,
-                url);
+    public MidjourneyApi getOrCreateMidjourneyApi(String rawApiKey, String rawUrl) {
+        final String apiKey = resolveSpringPlaceholders(rawApiKey);
+        final String url = resolveSpringPlaceholders(rawUrl);
+        String cacheKey = buildClientCacheKey(MidjourneyApi.class, AiPlatformEnum.MIDJOURNEY.getPlatform(),
+                apiKey, url);
         return Singleton.get(cacheKey, (Func0<MidjourneyApi>) () -> {
             YudaoAiProperties.Midjourney properties = SpringUtil.getBean(YudaoAiProperties.class)
                     .getMidjourney();
@@ -281,25 +264,23 @@ public class AiModelFactoryImpl implements AiModelFactory {
     }
     @Override
-    public SunoApi getOrCreateSunoApi(String apiKey, String url) {
+    public SunoApi getOrCreateSunoApi(String rawApiKey, String rawUrl) {
+        final String apiKey = resolveSpringPlaceholders(rawApiKey);
+        final String url = resolveSpringPlaceholders(rawUrl);
         String cacheKey = buildClientCacheKey(SunoApi.class, AiPlatformEnum.SUNO.getPlatform(), apiKey, url);
         return Singleton.get(cacheKey, (Func0<SunoApi>) () -> new SunoApi(url));
     }
     @Override
     @SuppressWarnings("EnhancedSwitchMigration")
-    public EmbeddingModel getOrCreateEmbeddingModel(AiPlatformEnum platform, String apiKey, String url, String model) {
+    public EmbeddingModel getOrCreateEmbeddingModel(AiPlatformEnum platform, String rawApiKey, String rawUrl, String model) {
+        final String apiKey = resolveSpringPlaceholders(rawApiKey);
+        final String url = resolveSpringPlaceholders(rawUrl);
         String cacheKey = buildClientCacheKey(EmbeddingModel.class, platform, apiKey, url, model);
         return Singleton.get(cacheKey, (Func0<EmbeddingModel>) () -> {
             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:
-                    return buildMiniMaxEmbeddingModel(apiKey, url, model);
                 case OPENAI:
                     return buildOpenAiEmbeddingModel(apiKey, url, model);
                 case AZURE_OPENAI:
@@ -341,6 +322,11 @@ public class AiModelFactoryImpl implements AiModelFactory {
         return StrUtil.format("{}#{}", clazz.getName(), ArrayUtil.join(params, "_"));
     }
+    private static String resolveSpringPlaceholders(String value) {
+        // yml 配置的占位符由 Spring 自动解析；DB 里保存的 ${xxx} 需要在这里手动解析。
+        return AiUtils.resolveSpringPlaceholders(value);
+    }
+
     // ========== 各种创建 spring-ai 客户端的方法 ==========
     /**
@@ -367,30 +353,10 @@ public class AiModelFactoryImpl implements AiModelFactory {
                 .build();
     }
-    /**
-     * 可参考 {@link QianFanChatAutoConfiguration} 的 qianFanChatModel 方法
-     */
-    private static QianFanChatModel buildYiYanChatModel(String key) {
-        // TODO spring ai qianfan 有 bug，无法使用 https://github.com/spring-ai-community/qianfan/issues/6
-        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 QianFanEmbeddingAutoConfiguration} 的 qianFanImageModel 方法
-     */
-    private QianFanImageModel buildQianFanImageModel(String key) {
-        // TODO spring ai qianfan 有 bug，无法使用 https://github.com/spring-ai-community/qianfan/issues/6
-        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);
+    private ChatModel buildYiYanChatModel(String apiKey) {
+        YudaoAiProperties.YiYan properties = new YudaoAiProperties.YiYan()
+                .setApiKey(apiKey);
+        return new AiAutoConfiguration().buildYiYanChatClient(properties);
     }
     /**
@@ -435,62 +401,47 @@ public class AiModelFactoryImpl implements AiModelFactory {
     }
     /**
-     * 可参考 {@link ZhiPuAiChatAutoConfiguration} 的 zhiPuAiChatModel 方法
+     * 可参考 {@link AiAutoConfiguration#zhiPuChatClient(YudaoAiProperties)}
      */
-    private ZhiPuAiChatModel buildZhiPuChatModel(String apiKey, String url) {
-        ZhiPuAiApi.Builder zhiPuAiApiBuilder = ZhiPuAiApi.builder().apiKey(apiKey);
-        if (StrUtil.isNotEmpty(url)) {
-            zhiPuAiApiBuilder.baseUrl(url);
-        }
-        ZhiPuAiChatOptions options = ZhiPuAiChatOptions.builder().model(ZhiPuAiApi.DEFAULT_CHAT_MODEL).temperature(0.7).build();
-        return new ZhiPuAiChatModel(zhiPuAiApiBuilder.build(), options, getToolCallingManager(), DEFAULT_RETRY_TEMPLATE,
-                getObservationRegistry().getIfAvailable());
+    private ZhiPuChatModel buildZhiPuChatModel(String apiKey, String url) {
+        YudaoAiProperties.ZhiPu properties = new YudaoAiProperties.ZhiPu()
+                .setBaseUrl(url).setApiKey(apiKey);
+        return new AiAutoConfiguration().buildZhiPuChatClient(properties);
     }
     /**
-     * 可参考 {@link ZhiPuAiImageAutoConfiguration} 的 zhiPuAiImageModel 方法
+     * 可参考 {@link AiAutoConfiguration#miniMaxChatClient(YudaoAiProperties)}
      */
-    private ZhiPuAiImageModel buildZhiPuAiImageModel(String apiKey, String url) {
-        ZhiPuAiImageApi zhiPuAiApi = StrUtil.isEmpty(url) ? new ZhiPuAiImageApi(apiKey)
-                : new ZhiPuAiImageApi(url, apiKey, RestClient.builder());
-        return new ZhiPuAiImageModel(zhiPuAiApi);
+    private MiniMaxChatModel buildMiniMaxChatModel(String apiKey, String url) {
+        YudaoAiProperties.MiniMax properties = new YudaoAiProperties.MiniMax()
+                .setBaseUrl(url).setApiKey(apiKey);
+        return new AiAutoConfiguration().buildMiniMaxChatClient(properties);
     }
     /**
-     * 可参考 {@link MiniMaxChatAutoConfiguration} 的 miniMaxChatModel 方法
+     * 可参考 {@link AiAutoConfiguration#moonshotChatClient(YudaoAiProperties)}
      */
-    private MiniMaxChatModel buildMiniMaxChatModel(String apiKey, String url) {
-        MiniMaxApi miniMaxApi = StrUtil.isEmpty(url) ? new MiniMaxApi(apiKey)
-                : new MiniMaxApi(url, apiKey);
-        MiniMaxChatOptions options = MiniMaxChatOptions.builder().model(MiniMaxApi.DEFAULT_CHAT_MODEL).temperature(0.7).build();
-        return new MiniMaxChatModel(miniMaxApi, options, getToolCallingManager(), DEFAULT_RETRY_TEMPLATE);
+    private MoonshotChatModel buildMoonshotChatModel(String apiKey, String url) {
+        YudaoAiProperties.Moonshot properties = new YudaoAiProperties.Moonshot()
+                .setBaseUrl(url).setApiKey(apiKey);
+        return new AiAutoConfiguration().buildMoonshotChatClient(properties);
     }
     /**
-     * 可参考 {@link MoonshotChatAutoConfiguration} 的 moonshotChatModel 方法
+     * 可参考 {@link AiAutoConfiguration#stepFunChatClient(YudaoAiProperties)}
      */
-    private MoonshotChatModel buildMoonshotChatModel(String apiKey, String url) {
-        MoonshotApi.Builder moonshotApiBuilder = MoonshotApi.builder()
-                .apiKey(apiKey);
-        if (StrUtil.isNotEmpty(url)) {
-            moonshotApiBuilder.baseUrl(url);
-        }
-        MoonshotChatOptions options = MoonshotChatOptions.builder().model(MoonshotApi.DEFAULT_CHAT_MODEL).build();
-        return MoonshotChatModel.builder()
-                .moonshotApi(moonshotApiBuilder.build())
-                .defaultOptions(options)
-                .toolCallingManager(getToolCallingManager())
-                .build();
+    private StepFunChatModel buildStepFunChatModel(String apiKey, String url) {
+        YudaoAiProperties.StepFun properties = new YudaoAiProperties.StepFun()
+                .setBaseUrl(url).setApiKey(apiKey);
+        return new AiAutoConfiguration().buildStepFunChatClient(properties);
     }
     /**
      * 可参考 {@link AiAutoConfiguration#xingHuoChatClient(YudaoAiProperties)}
      */
-    private static XingHuoChatModel buildXingHuoChatModel(String key) {
-        List<String> keys = StrUtil.split(key, '|');
-        Assert.equals(keys.size(), 2, "XingHuoChatClient 的密钥需要 (appKey|secretKey) 格式");
+    private static XingHuoChatModel buildXingHuoChatModel(String apiKey) {
         YudaoAiProperties.XingHuo properties = new YudaoAiProperties.XingHuo()
-                .setAppKey(keys.get(0)).setSecretKey(keys.get(1));
+                .setApiKey(apiKey).setModel(XingHuoChatModel.MODEL_DEFAULT);
         return new AiAutoConfiguration().buildXingHuoChatClient(properties);
     }
@@ -590,7 +541,7 @@ public class AiModelFactoryImpl implements AiModelFactory {
         return new StabilityAiImageModel(stabilityAiApi);
     }
-    private ChatModel buildGrokChatModel(String apiKey,String url) {
+    private GrokChatModel buildGrokChatModel(String apiKey, String url) {
         YudaoAiProperties.Grok properties = new YudaoAiProperties.Grok()
                 .setBaseUrl(url)
                 .setApiKey(apiKey);
@@ -608,41 +559,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
         return new DashScopeEmbeddingModel(dashScopeApi, MetadataMode.EMBED, dashScopeEmbeddingOptions);
     }
-    /**
-     * 可参考 {@link ZhiPuAiEmbeddingAutoConfiguration} 的 zhiPuAiEmbeddingModel 方法
-     */
-    private ZhiPuAiEmbeddingModel buildZhiPuEmbeddingModel(String apiKey, String url, String model) {
-        ZhiPuAiApi.Builder zhiPuAiApiBuilder = ZhiPuAiApi.builder().apiKey(apiKey);
-        if (StrUtil.isNotEmpty(url)) {
-            zhiPuAiApiBuilder.baseUrl(url);
-        }
-        ZhiPuAiEmbeddingOptions zhiPuAiEmbeddingOptions = ZhiPuAiEmbeddingOptions.builder().model(model).build();
-        return new ZhiPuAiEmbeddingModel(zhiPuAiApiBuilder.build(), MetadataMode.EMBED, zhiPuAiEmbeddingOptions);
-    }
-
-    /**
-     * 可参考 {@link MiniMaxEmbeddingAutoConfiguration} 的 miniMaxEmbeddingModel 方法
-     */
-    private EmbeddingModel buildMiniMaxEmbeddingModel(String apiKey, String url, String model) {
-        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 QianFanEmbeddingAutoConfiguration} 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 = OllamaApi.builder().baseUrl(url).build();
         OllamaEmbeddingOptions ollamaOptions = OllamaEmbeddingOptions.builder().model(model).build();
@@ -6,7 +6,7 @@ import org.springframework.ai.chat.model.ChatModel;
 import org.springframework.ai.chat.model.ChatResponse;
 import org.springframework.ai.chat.prompt.ChatOptions;
 import org.springframework.ai.chat.prompt.Prompt;
-import org.springframework.ai.openai.OpenAiChatModel;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
 import reactor.core.publisher.Flux;
 /**
@@ -20,26 +20,28 @@ public class BaiChuanChatModel implements ChatModel {
     public static final String BASE_URL = "https://api.baichuan-ai.com";
-    public static final String MODEL_DEFAULT = "Baichuan4-Turbo";
+    public static final String COMPLETE_PATH = "/v1/chat/completions";
+
+    public static final String MODEL_DEFAULT = "Baichuan-M3";
     /**
-     * 兼容 OpenAI 接口，进行复用
+     * 兼容 OpenAI 接口，复用 DeepSeek 客户端
      */
-    private final OpenAiChatModel openAiChatModel;
+    private final DeepSeekChatModel deepSeekChatModel;
     @Override
     public ChatResponse call(Prompt prompt) {
-        return openAiChatModel.call(prompt);
+        return deepSeekChatModel.call(prompt);
     }
     @Override
     public Flux<ChatResponse> stream(Prompt prompt) {
-        return openAiChatModel.stream(prompt);
+        return deepSeekChatModel.stream(prompt);
     }
     @Override
     public ChatOptions getDefaultOptions() {
-        return openAiChatModel.getDefaultOptions();
+        return deepSeekChatModel.getDefaultOptions();
     }
 }
@@ -20,7 +20,7 @@ public class DouBaoChatModel implements ChatModel {
     public static final String BASE_URL = "https://ark.cn-beijing.volces.com/api";
     public static final String COMPLETE_PATH = "/v3/chat/completions";
-    public static final String MODEL_DEFAULT = "doubao-1-5-lite-32k-250115";
+    public static final String MODEL_DEFAULT = "doubao-seed-2-1-turbo-260628";
     /**
      * 兼容 OpenAI 接口，进行复用
@@ -19,7 +19,7 @@ public class GrokChatModel implements ChatModel {
     public static final String BASE_URL = "https://api.x.ai";
     public static final String COMPLETE_PATH = "/v1/chat/completions";
-    public static final String MODEL_DEFAULT = "grok-4-fast-reasoning";
+    public static final String MODEL_DEFAULT = "grok-4.3";
     /**
      * 兼容 OpenAI 接口，进行复用
@@ -9,10 +9,9 @@ import org.springframework.ai.chat.prompt.Prompt;
 import reactor.core.publisher.Flux;
 /**
- * 腾云混元 {@link ChatModel} 实现类
+ * 腾讯混元 {@link ChatModel} 实现类
  *
- * 1. 混元大模型：基于 <a href="https://cloud.tencent.com/document/product/1729/111007">知识引擎原子能力</a> 实现
- * 2. 知识引擎原子能力：基于 <a href="https://cloud.tencent.com/document/product/1772/115969">知识引擎原子能力</a> 实现
+ * 基于 <a href="https://cloud.tencent.com/document/product/1823/132252">TokenHub OpenAI 兼容接口</a> 实现
  *
  * @author fansili
  */
@@ -20,14 +19,10 @@ import reactor.core.publisher.Flux;
 @RequiredArgsConstructor
 public class HunYuanChatModel implements ChatModel {
-    public static final String BASE_URL = "https://api.hunyuan.cloud.tencent.com";
+    public static final String BASE_URL = "https://tokenhub.tencentmaas.com";
     public static final String COMPLETE_PATH = "/v1/chat/completions";
-    public static final String MODEL_DEFAULT = "hunyuan-turbo";
-
-    public static final String DEEP_SEEK_BASE_URL = "https://api.lkeap.cloud.tencent.com";
-
-    public static final String DEEP_SEEK_MODEL_DEFAULT = "deepseek-v3";
+    public static final String MODEL_DEFAULT = "hy3-preview";
     /**
      * 兼容 OpenAI 接口，进行复用
+package cn.iocoder.yudao.module.ai.framework.ai.core.model.minimax;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.chat.model.ChatResponse;
+import org.springframework.ai.chat.prompt.ChatOptions;
+import org.springframework.ai.chat.prompt.Prompt;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import reactor.core.publisher.Flux;
+
+/**
+ * MiniMax {@link ChatModel} 实现类
+ *
+ * @author 芋道源码
+ */
+@Slf4j
+@RequiredArgsConstructor
+public class MiniMaxChatModel implements ChatModel {
+
+    public static final String BASE_URL = "https://api.minimaxi.com/v1";
+
+    public static final String MODEL_DEFAULT = "MiniMax-M3";
+
+    /**
+     * 兼容 OpenAI 接口，复用 DeepSeek 客户端
+     */
+    private final DeepSeekChatModel deepSeekChatModel;
+
+    @Override
+    public ChatResponse call(Prompt prompt) {
+        return deepSeekChatModel.call(prompt);
+    }
+
+    @Override
+    public Flux<ChatResponse> stream(Prompt prompt) {
+        return deepSeekChatModel.stream(prompt);
+    }
+
+    @Override
+    public ChatOptions getDefaultOptions() {
+        return deepSeekChatModel.getDefaultOptions();
+    }
+
+}
+package cn.iocoder.yudao.module.ai.framework.ai.core.model.moonshot;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.chat.model.ChatResponse;
+import org.springframework.ai.chat.prompt.ChatOptions;
+import org.springframework.ai.chat.prompt.Prompt;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import reactor.core.publisher.Flux;
+
+/**
+ * 月之暗面 {@link ChatModel} 实现类
+ *
+ * @author 芋道源码
+ */
+@Slf4j
+@RequiredArgsConstructor
+public class MoonshotChatModel implements ChatModel {
+
+    public static final String BASE_URL = "https://api.moonshot.cn";
+
+    public static final String COMPLETE_PATH = "/v1/chat/completions";
+
+    public static final String MODEL_DEFAULT = "kimi-k2.6";
+
+    /**
+     * 兼容 OpenAI 接口，复用 DeepSeek 客户端
+     */
+    private final DeepSeekChatModel deepSeekChatModel;
+
+    @Override
+    public ChatResponse call(Prompt prompt) {
+        return deepSeekChatModel.call(prompt);
+    }
+
+    @Override
+    public Flux<ChatResponse> stream(Prompt prompt) {
+        return deepSeekChatModel.stream(prompt);
+    }
+
+    @Override
+    public ChatOptions getDefaultOptions() {
+        return deepSeekChatModel.getDefaultOptions();
+    }
+
+}
+package cn.iocoder.yudao.module.ai.framework.ai.core.model.stepfun;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.chat.model.ChatResponse;
+import org.springframework.ai.chat.prompt.ChatOptions;
+import org.springframework.ai.chat.prompt.Prompt;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import reactor.core.publisher.Flux;
+
+/**
+ * 阶跃星辰 {@link ChatModel} 实现类
+ *
+ * @author 芋道源码
+ */
+@Slf4j
+@RequiredArgsConstructor
+public class StepFunChatModel implements ChatModel {
+
+    public static final String BASE_URL = "https://api.stepfun.com";
+
+    public static final String COMPLETE_PATH = "/v1/chat/completions";
+
+    public static final String MODEL_DEFAULT = "step-3.7-flash";
+
+    /**
+     * 兼容 OpenAI 接口，复用 DeepSeek 客户端
+     */
+    private final DeepSeekChatModel deepSeekChatModel;
+
+    @Override
+    public ChatResponse call(Prompt prompt) {
+        return deepSeekChatModel.call(prompt);
+    }
+
+    @Override
+    public Flux<ChatResponse> stream(Prompt prompt) {
+        return deepSeekChatModel.stream(prompt);
+    }
+
+    @Override
+    public ChatOptions getDefaultOptions() {
+        return deepSeekChatModel.getDefaultOptions();
+    }
+
+}
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.xinghuo;
-import lombok.RequiredArgsConstructor;
+import cn.hutool.core.util.StrUtil;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.ai.chat.model.ChatModel;
 import org.springframework.ai.chat.model.ChatResponse;
 import org.springframework.ai.chat.prompt.ChatOptions;
 import org.springframework.ai.chat.prompt.Prompt;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import org.springframework.ai.deepseek.DeepSeekChatOptions;
+import org.springframework.ai.deepseek.api.DeepSeekApi;
 import reactor.core.publisher.Flux;
 /**
@@ -14,37 +17,140 @@ import reactor.core.publisher.Flux;
  * @author fansili
  */
 @Slf4j
-@RequiredArgsConstructor
 public class XingHuoChatModel implements ChatModel {
-    public static final String BASE_URL_V1 = "https://spark-api-open.xf-yun.com";
-
-    public static final String BASE_URL_V2 = "https://spark-api-open.xf-yun.com";
-    public static final String BASE_COMPLETIONS_PATH_V2 = "/v2/chat/completions";
+    /**
+     * 星火 X2
+     *
+     * @see <a href="https://spark-api-open.xf-yun.com/x2/chat/completions">接口地址</a>
+     */
+    public static final String MODEL_X2 = "x2";
     /**
-     * 已知模型名列表：x1、4.0Ultra、generalv3.5、max-32k、generalv3、pro-128k、lite
+     * 星火 X2 Flash
+     *
+     * @see <a href="https://spark-api-open.xf-yun.com/agent/v1/chat/completions">接口地址</a>
      */
-    public static final String MODEL_DEFAULT = "4.0Ultra";
+    public static final String MODEL_X2_FLASH = "x2-flash";
+
+    private static final String BASE_URL_X2 = "https://spark-api-open.xf-yun.com/x2";
+
+    private static final String BASE_URL_X2_FLASH = "https://spark-api-open.xf-yun.com/agent/v1";
+
+    public static final String MODEL_DEFAULT = MODEL_X2_FLASH;
+
+    private static String getBaseUrl(String model) {
+        if (MODEL_X2_FLASH.equals(model)) {
+            return BASE_URL_X2_FLASH;
+        }
+        return BASE_URL_X2;
+    }
+
+    private final String apiKey;
+
+    private final DeepSeekChatOptions options;
     /**
-     * v1 兼容 OpenAI 接口，进行复用
+     * 兼容 OpenAI 接口，进行复用
      */
-    private final ChatModel openAiChatModelV1;
+    private final ChatModel chatModelX2;
+
+    private final ChatModel chatModelX2Flash;
+
+    private XingHuoChatModel(String apiKey, DeepSeekChatOptions options) {
+        this.apiKey = apiKey;
+        this.options = options;
+        this.chatModelX2 = buildChatModel(MODEL_X2);
+        this.chatModelX2Flash = buildChatModel(MODEL_X2_FLASH);
+    }
+
+    public static Builder builder() {
+        return new Builder();
+    }
     @Override
     public ChatResponse call(Prompt prompt) {
-        return openAiChatModelV1.call(prompt);
+        return getChatModel(prompt).call(buildApiPrompt(prompt));
     }
     @Override
     public Flux<ChatResponse> stream(Prompt prompt) {
-        return openAiChatModelV1.stream(prompt);
+        return getChatModel(prompt).stream(buildApiPrompt(prompt));
     }
     @Override
     public ChatOptions getDefaultOptions() {
-        return openAiChatModelV1.getDefaultOptions();
+        return options;
+    }
+
+    private ChatModel getChatModel(Prompt prompt) {
+        String model = options.getModel();
+        ChatOptions options = prompt.getOptions();
+        if (options != null && isBusinessModel(options.getModel())) {
+            model = options.getModel();
+        }
+        return getChatModel(model);
+    }
+
+    private ChatModel getChatModel(String model) {
+        if (MODEL_X2_FLASH.equals(model)) {
+            return chatModelX2Flash;
+        }
+        return chatModelX2;
+    }
+
+    private ChatModel buildChatModel(String model) {
+        return DeepSeekChatModel.builder()
+                .deepSeekApi(DeepSeekApi.builder()
+                        .baseUrl(getBaseUrl(model))
+                        .apiKey(apiKey)
+                        .build())
+                .defaultOptions(new DeepSeekChatOptions.Builder(options).model("spark-x").build())
+                .build();
+    }
+
+    private static Prompt buildApiPrompt(Prompt prompt) {
+        ChatOptions options = prompt.getOptions();
+        if (options == null) {
+            return prompt;
+        }
+        if (!(options instanceof DeepSeekChatOptions)) {
+            return prompt;
+        }
+        return Prompt.builder()
+                .messages(prompt.getInstructions())
+                .chatOptions(new DeepSeekChatOptions.Builder((DeepSeekChatOptions) options).model("spark-x").build())
+                .build();
+    }
+
+    private static boolean isBusinessModel(String model) {
+        return MODEL_X2.equals(model) || MODEL_X2_FLASH.equals(model);
+    }
+
+    public static final class Builder {
+
+        private String apiKey;
+
+        private DeepSeekChatOptions options;
+
+        public Builder apiKey(String apiKey) {
+            this.apiKey = apiKey;
+            return this;
+        }
+
+        public Builder options(DeepSeekChatOptions options) {
+            this.options = options;
+            return this;
+        }
+
+        public XingHuoChatModel build() {
+            DeepSeekChatOptions options = this.options != null ? this.options : DeepSeekChatOptions.builder().build();
+            if (StrUtil.isEmpty(options.getModel())) {
+                options = new DeepSeekChatOptions.Builder(options).model(MODEL_DEFAULT).build();
+            }
+            return new XingHuoChatModel(apiKey, options);
+        }
+
     }
 }
+package cn.iocoder.yudao.module.ai.framework.ai.core.model.yiyan;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.chat.model.ChatResponse;
+import org.springframework.ai.chat.prompt.ChatOptions;
+import org.springframework.ai.chat.prompt.Prompt;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import reactor.core.publisher.Flux;
+
+/**
+ * 文心一言 {@link ChatModel} 实现类
+ *
+ * @author 芋道源码
+ */
+@Slf4j
+@RequiredArgsConstructor
+public class YiYanChatModel implements ChatModel {
+
+    public static final String BASE_URL = "https://qianfan.baidubce.com/v2";
+
+    public static final String MODEL_DEFAULT = "ernie-5.1";
+
+    /**
+     * 兼容 OpenAI 接口，复用 DeepSeek 客户端
+     */
+    private final DeepSeekChatModel deepSeekChatModel;
+
+    @Override
+    public ChatResponse call(Prompt prompt) {
+        return deepSeekChatModel.call(prompt);
+    }
+
+    @Override
+    public Flux<ChatResponse> stream(Prompt prompt) {
+        return deepSeekChatModel.stream(prompt);
+    }
+
+    @Override
+    public ChatOptions getDefaultOptions() {
+        return deepSeekChatModel.getDefaultOptions();
+    }
+
+}
+package cn.iocoder.yudao.module.ai.framework.ai.core.model.zhipu;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.chat.model.ChatResponse;
+import org.springframework.ai.chat.prompt.ChatOptions;
+import org.springframework.ai.chat.prompt.Prompt;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import reactor.core.publisher.Flux;
+
+/**
+ * 智谱 {@link ChatModel} 实现类
+ *
+ * @author 芋道源码
+ */
+@Slf4j
+@RequiredArgsConstructor
+public class ZhiPuChatModel implements ChatModel {
+
+    public static final String BASE_URL = "https://open.bigmodel.cn/api/paas/v4";
+
+    public static final String MODEL_DEFAULT = "glm-5.2";
+
+    /**
+     * 兼容 OpenAI 接口，复用 DeepSeek 客户端
+     */
+    private final DeepSeekChatModel deepSeekChatModel;
+
+    @Override
+    public ChatResponse call(Prompt prompt) {
+        return deepSeekChatModel.call(prompt);
+    }
+
+    @Override
+    public Flux<ChatResponse> stream(Prompt prompt) {
+        return deepSeekChatModel.stream(prompt);
+    }
+
+    @Override
+    public ChatOptions getDefaultOptions() {
+        return deepSeekChatModel.getDefaultOptions();
+    }
+
+}
@@ -29,14 +29,12 @@ 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.stabilityai.api.StabilityAiImageOptions;
-import org.springframework.ai.zhipuai.ZhiPuAiImageOptions;
 import org.springframework.scheduling.annotation.Async;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
@@ -168,15 +166,6 @@ public class AiImageServiceImpl implements AiImageService {
                     .model(model.getModel()).n(1)
                     .height(draw.getHeight()).width(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();
-        } else if (ObjUtil.equal(model.getPlatform(), AiPlatformEnum.ZHI_PU.getPlatform())) {
-            return ZhiPuAiImageOptions.builder()
-                    .model(model.getModel())
-                    .build();
         }
         throw new IllegalArgumentException("不支持的 AI 平台：" + model.getPlatform());
     }
@@ -8,8 +8,7 @@ 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 cn.hutool.extra.spring.SpringUtil;
 import org.springframework.ai.anthropic.AnthropicChatOptions;
 import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
 import org.springframework.ai.chat.messages.*;
@@ -17,14 +16,16 @@ import org.springframework.ai.chat.model.ChatResponse;
 import org.springframework.ai.chat.prompt.ChatOptions;
 import org.springframework.ai.deepseek.DeepSeekAssistantMessage;
 import org.springframework.ai.deepseek.DeepSeekChatOptions;
-import org.springframework.ai.minimax.MiniMaxChatOptions;
 import org.springframework.ai.ollama.api.OllamaChatOptions;
 import org.springframework.ai.openai.OpenAiChatOptions;
 import org.springframework.ai.tool.ToolCallback;
-import org.springframework.ai.zhipuai.ZhiPuAiChatOptions;
+import org.springframework.core.env.Environment;
 import java.util.*;
+import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
+import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.API_CONFIG_PLACEHOLDER_NOT_RESOLVED;
+
 /**
  * Spring AI 工具类
  *
@@ -36,13 +37,42 @@ public class AiUtils {
     public static final String TOOL_CONTEXT_TENANT_ID = "TENANT_ID";
     /**
+     * 解析 DB 等动态配置里的 Spring 占位符，例如 ${OPENAI_API_KEY}
+     *
+     * @param value 待解析的配置值
+     * @return 解析后的配置值
+     */
+    public static String resolveSpringPlaceholders(String value) {
+        if (StrUtil.isBlank(value) || !StrUtil.contains(value, "${")) {
+            return value;
+        }
+        try {
+            return SpringUtil.getBean(Environment.class).resolveRequiredPlaceholders(value);
+        } catch (IllegalArgumentException ex) {
+            throw exception(API_CONFIG_PLACEHOLDER_NOT_RESOLVED, value);
+        }
+    }
+
+    /**
+     * 校验 API Key，避免集成测试使用默认占位值发起调用。
+     *
+     * @param apiKey API Key
+     */
+    public static void validateApiKey(String apiKey) {
+        if (StrUtil.isBlank(apiKey) || "sk-xxxx".equals(apiKey)) {
+            throw new IllegalStateException("apiKey 不能为空");
+        }
+    }
+
+    /**
      * 通义千问支持多模态的模型
      *
      * @see <a href="https://bailian.console.aliyun.com/cn-beijing/?tab=model#/model-market/all?providers=qwen&capabilities=VU">模型广场</a>
      * @see <a href="https://help.aliyun.com/zh/model-studio/error-code#error-url">必须开启 withMultiModel 参数</a>
      */
     public static final Set<String> TONG_YI_MULTI_MODELS = SetUtils.asSet(
-            // qwen3.5 / 3.6 系列（统一多模态主干）
+            // qwen3.5 / 3.6 / 3.7 系列（统一多模态主干）
+            "qwen3.7-max", "qwen3.7-plus", "qwen3.7-flash",
             "qwen3.6-plus", "qwen3.6-flash",
             "qwen3.5-plus", "qwen3.5-flash",
             // qwen-vl 视觉理解
@@ -72,27 +102,21 @@ public class AiUtils {
                         .enableThinking(true) // TODO 芋艿：默认都开启 thinking 模式，后续可以让用户配置
                         .multiModel(TONG_YI_MULTI_MODELS.contains(model)) // 是否多模态模型
                         .toolCallbacks(toolCallbacks).toolContext(toolContext).build();
-            case YI_YAN:
-                return QianFanChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens).build();
             case DEEP_SEEK:
             case DOU_BAO: // 复用 DeepSeek 客户端
             case HUN_YUAN: // 复用 DeepSeek 客户端
             case SILICON_FLOW: // 复用 DeepSeek 客户端
+            case YI_YAN: // 复用 DeepSeek 客户端
+            case ZHI_PU: // 复用 DeepSeek 客户端
             case XING_HUO: // 复用 DeepSeek 客户端
+            case MINI_MAX: // 复用 DeepSeek 客户端
+            case MOONSHOT: // 复用 DeepSeek 客户端
+            case BAI_CHUAN: // 复用 DeepSeek 客户端
+            case STEP_FUN: // 复用 DeepSeek 客户端
                 return DeepSeekChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
                         .toolCallbacks(toolCallbacks).toolContext(toolContext).build();
-            case ZHI_PU:
-                return ZhiPuAiChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
-                        .toolCallbacks(toolCallbacks).toolContext(toolContext).build();
-            case MINI_MAX:
-                return MiniMaxChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
-                        .toolCallbacks(toolCallbacks).toolContext(toolContext).build();
-            case MOONSHOT:
-                return MoonshotChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
-                        .toolCallbacks(toolCallbacks).toolContext(toolContext).build();
             case OPENAI:
             case GEMINI: // 复用 OpenAI 客户端
-            case BAI_CHUAN: // 复用 OpenAI 客户端
             case GROK: // 复用 OpenAI 客户端
                 return OpenAiChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
                         .toolCallbacks(toolCallbacks).toolContext(toolContext).build();
@@ -159,4 +183,4 @@ public class AiUtils {
         return MapUtil.getStr(output.getMetadata(), "reasoningContent");
     }
-}
 \ No newline at end of file
+}
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.baichuan.BaiChuanChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
@@ -8,13 +9,16 @@ 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.openai.OpenAiChatModel;
-import org.springframework.ai.openai.OpenAiChatOptions;
-import org.springframework.ai.openai.api.OpenAiApi;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import org.springframework.ai.deepseek.DeepSeekChatOptions;
+import org.springframework.ai.deepseek.api.DeepSeekApi;
 import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
 /**
  * {@link BaiChuanChatModel} 集成测试
@@ -23,22 +27,27 @@ import java.util.List;
  */
 public class BaiChuanChatModelTests {
-    private final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
-            .openAiApi(OpenAiApi.builder()
+    private static final String API_KEY = SystemUtil.get("BAICHUAN_API_KEY",
+            "sk-xxxx"); // 按需改成你的百川 API Key
+    private static final String MODEL = SystemUtil.get("BAICHUAN_MODEL",
+            BaiChuanChatModel.MODEL_DEFAULT);
+
+    private final BaiChuanChatModel chatModel = new BaiChuanChatModel(DeepSeekChatModel.builder()
+            .deepSeekApi(DeepSeekApi.builder()
                     .baseUrl(BaiChuanChatModel.BASE_URL)
-                    .apiKey("sk-61b6766a94c70786ed02673f5e16af3c") // apiKey
+                    .completionsPath(BaiChuanChatModel.COMPLETE_PATH)
+                    .apiKey(API_KEY)
                     .build())
-            .defaultOptions(OpenAiChatOptions.builder()
-                    .model("Baichuan4-Turbo") // 模型（https://platform.baichuan-ai.com/docs/api）
+            .defaultOptions(DeepSeekChatOptions.builder()
+                    .model(MODEL)
                     .temperature(0.7)
                     .build())
-            .build();
-
-    private final BaiChuanChatModel chatModel = new BaiChuanChatModel(openAiChatModel);
+            .build());
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -48,11 +57,13 @@ public class BaiChuanChatModelTests {
         ChatResponse response = chatModel.call(new Prompt(messages));
         // 打印结果
         System.out.println(response);
+        System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
     }
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -61,7 +72,10 @@ public class BaiChuanChatModelTests {
         // 调用
         Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
         // 打印结果
-        flux.doOnNext(System.out::println).then().block();
+        flux.doOnNext(response -> {
+//            System.out.println(response);
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
+        }).then().block();
     }
 }
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
 import org.springframework.ai.chat.messages.Message;
@@ -14,6 +15,9 @@ import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
 /**
  * {@link DeepSeekChatModel} 集成测试
@@ -22,12 +26,17 @@ import java.util.List;
  */
 public class DeepSeekChatModelTests {
+    private static final String API_KEY = SystemUtil.get("DEEPSEEK_API_KEY",
+            "sk-xxxx");
+    private static final String MODEL = SystemUtil.get("DEEPSEEK_MODEL",
+            "deepseek-v4-flash");
+
     private final DeepSeekChatModel chatModel = DeepSeekChatModel.builder()
             .deepSeekApi(DeepSeekApi.builder()
-                    .apiKey("sk-eaf4172a057344dd9bc64b1f806b6axx") // apiKey
+                    .apiKey(API_KEY) // apiKey
                     .build())
             .defaultOptions(DeepSeekChatOptions.builder()
-                    .model("deepseek-chat") // 模型
+                    .model(MODEL) // 模型
                     .temperature(0.7)
                     .build())
             .build();
@@ -35,6 +44,7 @@ public class DeepSeekChatModelTests {
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -43,12 +53,13 @@ public class DeepSeekChatModelTests {
         // 调用
         ChatResponse response = chatModel.call(new Prompt(messages));
         // 打印结果
-        System.out.println(response);
+        System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
     }
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -63,11 +74,12 @@ public class DeepSeekChatModelTests {
     @Test
     @Disabled
     public void testStream_thinking() {
+        validateApiKey(API_KEY);
         // 准备参数
         List<Message> messages = new ArrayList<>();
         messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
         DeepSeekChatOptions options = DeepSeekChatOptions.builder()
-                .model("deepseek-reasoner")
+                .model(MODEL)
                 .build();
         // 调用
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.doubao.DouBaoChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
@@ -15,6 +16,9 @@ import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
 /**
  * {@link DouBaoChatModel} 集成测试
@@ -23,19 +27,19 @@ import java.util.List;
  */
 public class DouBaoChatModelTests {
-    /**
-     * 相比 OpenAIChatModel 来说，DeepSeekChatModel 可以兼容豆包的 thinking 能力！
-     */
+    private static final String API_KEY = SystemUtil.get("DOUBAO_API_KEY",
+            "sk-xxxx"); // 按需改成你的豆包 API Key
+    private static final String MODEL = SystemUtil.get("DOUBAO_MODEL",
+            DouBaoChatModel.MODEL_DEFAULT);
+
     private final DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
             .deepSeekApi(DeepSeekApi.builder()
                     .baseUrl(DouBaoChatModel.BASE_URL)
                     .completionsPath(DouBaoChatModel.COMPLETE_PATH)
-                    .apiKey("5c1b5747-26d2-4ebd-a4e0-dd0e8d8b4272") // apiKey
+                    .apiKey(API_KEY)
                     .build())
             .defaultOptions(DeepSeekChatOptions.builder()
-                    .model("doubao-1-5-lite-32k-250115") // 模型（doubao）
-//                    .model("doubao-seed-1-6-thinking-250715") // 模型（doubao）
-//                    .model("deepseek-r1-250120") // 模型（deepseek）
+                    .model(MODEL)
                     .temperature(0.7)
                     .build())
             .build();
@@ -45,6 +49,7 @@ public class DouBaoChatModelTests {
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -54,11 +59,13 @@ public class DouBaoChatModelTests {
         ChatResponse response = chatModel.call(new Prompt(messages));
         // 打印结果
         System.out.println(response);
+        System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
     }
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -67,25 +74,26 @@ public class DouBaoChatModelTests {
         // 调用
         Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
         // 打印结果
-        flux.doOnNext(System.out::println).then().block();
+        flux.doOnNext(response -> {
+//            System.out.println(response);
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
+        }).then().block();
     }
     @Test
     @Disabled
     public void testStream_thinking() {
+        validateApiKey(API_KEY);
         // 准备参数
         List<Message> messages = new ArrayList<>();
         messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
-        DeepSeekChatOptions options = DeepSeekChatOptions.builder()
-                .model("doubao-seed-1-6-thinking-250715")
-                .build();
         // 调用
-        Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
+        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());
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
         }).then().block();
     }
+package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+
+import cn.hutool.system.SystemUtil;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.grok.GrokChatModel;
+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.openai.OpenAiChatModel;
+import org.springframework.ai.openai.OpenAiChatOptions;
+import org.springframework.ai.openai.api.OpenAiApi;
+import reactor.core.publisher.Flux;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
+
+/**
+ * {@link GrokChatModel} 集成测试
+ *
+ * @author 芋道源码
+ */
+public class GrokChatModelTests {
+
+    private static final String API_KEY = SystemUtil.get("GROK_API_KEY",
+            "sk-xxxx");
+    private static final String MODEL = SystemUtil.get("GROK_MODEL",
+            GrokChatModel.MODEL_DEFAULT);
+
+    private final GrokChatModel chatModel = new GrokChatModel(OpenAiChatModel.builder()
+            .openAiApi(OpenAiApi.builder()
+                    .baseUrl(GrokChatModel.BASE_URL)
+                    .completionsPath(GrokChatModel.COMPLETE_PATH)
+                    .apiKey(API_KEY)
+                    .build())
+            .defaultOptions(OpenAiChatOptions.builder()
+                    .model(MODEL)
+                    .temperature(0.7)
+                    .build())
+            .build());
+
+    @Test
+    @Disabled
+    public void testCall() {
+        validateApiKey(API_KEY);
+        // 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(Objects.requireNonNull(response.getResult()).getOutput());
+    }
+
+    @Test
+    @Disabled
+    public void testStream() {
+        validateApiKey(API_KEY);
+        // 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(Objects.requireNonNull(response.getResult()).getOutput());
+        }).then().block();
+    }
+
+}
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.hunyuan.HunYuanChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
@@ -15,6 +16,9 @@ import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
 /**
  * {@link HunYuanChatModel} 集成测试
@@ -23,14 +27,19 @@ import java.util.List;
  */
 public class HunYuanChatModelTests {
+    private static final String API_KEY = SystemUtil.get("HUNYUAN_API_KEY",
+            "sk-xxxx");
+    private static final String MODEL = SystemUtil.get("HUNYUAN_MODEL",
+            HunYuanChatModel.MODEL_DEFAULT);
+
     private final DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
             .deepSeekApi(DeepSeekApi.builder()
                     .baseUrl(HunYuanChatModel.BASE_URL)
                     .completionsPath(HunYuanChatModel.COMPLETE_PATH)
-                    .apiKey("sk-abc") // apiKey
+                    .apiKey(API_KEY) // apiKey
                     .build())
             .defaultOptions(DeepSeekChatOptions.builder()
-                    .model(HunYuanChatModel.MODEL_DEFAULT) // 模型
+                    .model(MODEL) // 模型
                     .temperature(0.7)
                     .build())
             .build();
@@ -40,6 +49,7 @@ public class HunYuanChatModelTests {
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -48,12 +58,13 @@ public class HunYuanChatModelTests {
         // 调用
         ChatResponse response = chatModel.call(new Prompt(messages));
         // 打印结果
-        System.out.println(response);
+        System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
     }
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -68,12 +79,12 @@ public class HunYuanChatModelTests {
     @Test
     @Disabled
     public void testStream_thinking() {
+        validateApiKey(API_KEY);
         // 准备参数
         List<Message> messages = new ArrayList<>();
         messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
         DeepSeekChatOptions options = DeepSeekChatOptions.builder()
-                .model("hunyuan-a13b")
-//                .model("hunyuan-turbos-latest")
+                .model(MODEL)
                 .build();
         // 调用
@@ -85,66 +96,4 @@ public class HunYuanChatModelTests {
         }).then().block();
     }
-    private final DeepSeekChatModel deepSeekOpenAiChatModel = DeepSeekChatModel.builder()
-            .deepSeekApi(DeepSeekApi.builder()
-                    .baseUrl(HunYuanChatModel.DEEP_SEEK_BASE_URL)
-                    .completionsPath(HunYuanChatModel.COMPLETE_PATH)
-                    .apiKey("sk-abc") // apiKey
-                    .build())
-            .defaultOptions(DeepSeekChatOptions.builder()
-//                    .model(HunYuanChatModel.DEEP_SEEK_MODEL_DEFAULT) // 模型（"deepseek-v3"）
-                    .model("deepseek-r1") // 模型（"deepseek-r1"）
-                    .temperature(0.7)
-                    .build())
-            .build();
-
-    private final HunYuanChatModel deepSeekChatModel = new HunYuanChatModel(deepSeekOpenAiChatModel);
-
-    @Test
-    @Disabled
-    public void testCall_deepseek() {
-        // 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 = deepSeekChatModel.call(new Prompt(messages));
-        // 打印结果
-        System.out.println(response);
-    }
-
-    @Test
-    @Disabled
-    public void testStream_deepseek() {
-        // 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 = deepSeekChatModel.stream(new Prompt(messages));
-        // 打印结果
-        flux.doOnNext(System.out::println).then().block();
-    }
-
-    @Test
-    @Disabled
-    public void testStream_deepseek_thinking() {
-        // 准备参数
-        List<Message> messages = new ArrayList<>();
-        messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
-        DeepSeekChatOptions options = DeepSeekChatOptions.builder()
-                .model("deepseek-r1")
-                .build();
-
-        // 调用
-        Flux<ChatResponse> flux = deepSeekChatModel.stream(new Prompt(messages, options));
-        // 打印结果
-        flux.doOnNext(response -> {
-//            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
-        }).then().block();
-    }
-
 }
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.minimax.MiniMaxChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
 import org.springframework.ai.chat.messages.Message;
@@ -7,13 +9,16 @@ 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.minimax.MiniMaxChatModel;
-import org.springframework.ai.minimax.MiniMaxChatOptions;
-import org.springframework.ai.minimax.api.MiniMaxApi;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import org.springframework.ai.deepseek.DeepSeekChatOptions;
+import org.springframework.ai.deepseek.api.DeepSeekApi;
 import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
 /**
  * {@link MiniMaxChatModel} 的集成测试
@@ -22,14 +27,24 @@ import java.util.List;
  */
 public class MiniMaxChatModelTests {
-    private final MiniMaxChatModel chatModel = new MiniMaxChatModel(
-            new MiniMaxApi("eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJHcm91cE5hbWUiOiLnjovmlofmlowiLCJVc2VyTmFtZSI6IueOi-aWh-aWjCIsIkFjY291bnQiOiIiLCJTdWJqZWN0SUQiOiIxODk3Mjg3MjQ5NDU2ODA4MzQ2IiwiUGhvbmUiOiIxNTYwMTY5MTM5OSIsIkdyb3VwSUQiOiIxODk3Mjg3MjQ5NDQ4NDE5NzM4IiwiUGFnZU5hbWUiOiIiLCJNYWlsIjoiIiwiQ3JlYXRlVGltZSI6IjIwMjUtMDMtMTEgMTI6NTI6MDIiLCJUb2tlblR5cGUiOjEsImlzcyI6Im1pbmltYXgifQ.aAuB7gWW_oA4IYhh-CF7c9MfWWxKN49B_HK-DYjXaDwwffhiG-H1571z1WQhp9QytWG-DqgLejneeSxkiq1wQIe3FsEP2wz4BmGBct31LehbJu8ehLxg_vg75Uod1nFAHbm5mZz6JSVLNIlSo87Xr3UtSzJhAXlapEkcqlA4YOzOpKrZ8l5_OJPTORTCmHWZYgJcRS-faNiH62ZnUEHUozesTFhubJHo5GfJCw_edlnmfSUocERV1BjWvenhZ9My-aYXNktcW9WaSj9l6gayV7A0Ium_PL55T9ln1PcI8gayiVUKJGJDoqNyF1AF9_aF9NOKtTnQzwNqnZdlTYH6hw"), // 密钥
-            MiniMaxChatOptions.builder()
-                    .model(MiniMaxApi.ChatModel.ABAB_6_5_G_Chat.getValue()) // 模型
-                    .build());
+    private static final String API_KEY = SystemUtil.get("MINIMAX_API_KEY",
+            "sk-xxxx"); // 按需改成你的 MiniMax API Key
+    private static final String MODEL = SystemUtil.get("MINIMAX_MODEL",
+            MiniMaxChatModel.MODEL_DEFAULT);
+
+    private final MiniMaxChatModel chatModel = new MiniMaxChatModel(DeepSeekChatModel.builder()
+            .deepSeekApi(DeepSeekApi.builder()
+                    .baseUrl(MiniMaxChatModel.BASE_URL)
+                    .apiKey(API_KEY)
+                    .build())
+            .defaultOptions(DeepSeekChatOptions.builder()
+                    .model(MODEL)
+                    .build())
+            .build());
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -39,12 +54,13 @@ public class MiniMaxChatModelTests {
         ChatResponse response = chatModel.call(new Prompt(messages));
         // 打印结果
         System.out.println(response);
-        System.out.println(response.getResult().getOutput());
+        System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
     }
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -55,19 +71,19 @@ public class MiniMaxChatModelTests {
         // 打印结果
         flux.doOnNext(response -> {
 //            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
         }).then().block();
     }
-    // TODO @芋艿：暂时没解析 reasoning_content 结果，需要等官方修复
     @Test
     @Disabled
     public void testStream_thinking() {
+        validateApiKey(API_KEY);
         // 准备参数
         List<Message> messages = new ArrayList<>();
         messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
-        MiniMaxChatOptions options = MiniMaxChatOptions.builder()
-                .model("MiniMax-M1")
+        DeepSeekChatOptions options = DeepSeekChatOptions.builder()
+                .model(MODEL)
                 .build();
         // 调用
@@ -75,7 +91,7 @@ public class MiniMaxChatModelTests {
         // 打印结果
         flux.doOnNext(response -> {
 //            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
         }).then().block();
     }
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.moonshot.MoonshotChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
-import org.springaicommunity.moonshot.MoonshotChatModel;
-import org.springaicommunity.moonshot.MoonshotChatOptions;
-import org.springaicommunity.moonshot.api.MoonshotApi;
 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.deepseek.DeepSeekChatModel;
+import org.springframework.ai.deepseek.DeepSeekChatOptions;
+import org.springframework.ai.deepseek.api.DeepSeekApi;
 import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
 /**
  * {@link MoonshotChatModel} 的集成测试
@@ -22,18 +27,27 @@ import java.util.List;
  */
 public class MoonshotChatModelTests {
-    private final MoonshotChatModel chatModel = MoonshotChatModel.builder()
-            .moonshotApi(MoonshotApi.builder()
-                    .apiKey("sk-aHYYV1SARscItye5QQRRNbXij4fy65Ee7pNZlC9gsSQnUKXA") // 密钥
+    private static final String API_KEY = SystemUtil.get("MOONSHOT_API_KEY",
+            "sk-xxxx"); // 按需改成你的 Moonshot API Key
+    private static final String MODEL = SystemUtil.get("MOONSHOT_MODEL",
+            MoonshotChatModel.MODEL_DEFAULT);
+
+    private final MoonshotChatModel chatModel = new MoonshotChatModel(DeepSeekChatModel.builder()
+            .deepSeekApi(DeepSeekApi.builder()
+                    .baseUrl(MoonshotChatModel.BASE_URL)
+                    .completionsPath(MoonshotChatModel.COMPLETE_PATH)
+                    .apiKey(API_KEY)
                     .build())
-            .defaultOptions(MoonshotChatOptions.builder()
-                    .model("kimi-k2-0711-preview") // 模型
+            .defaultOptions(DeepSeekChatOptions.builder()
+                    .model(MODEL)
+                    .temperature(1D)
                     .build())
-            .build();
+            .build());
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -43,12 +57,13 @@ public class MoonshotChatModelTests {
         ChatResponse response = chatModel.call(new Prompt(messages));
         // 打印结果
         System.out.println(response);
-        System.out.println(response.getResult().getOutput());
+        System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
     }
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -59,20 +74,19 @@ public class MoonshotChatModelTests {
         // 打印结果
         flux.doOnNext(response -> {
 //            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
         }).then().block();
     }
-    // TODO @芋艿：暂时没解析 reasoning_content 结果，需要等官方修复
     @Test
     @Disabled
     public void testStream_thinking() {
+        validateApiKey(API_KEY);
         // 准备参数
         List<Message> messages = new ArrayList<>();
         messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
-        MoonshotChatOptions options = MoonshotChatOptions.builder()
-//                .model("kimi-k2-0711-preview")
-                .model("kimi-thinking-preview")
+        DeepSeekChatOptions options = DeepSeekChatOptions.builder()
+                .model(MODEL)
                 .build();
         // 调用
@@ -80,7 +94,7 @@ public class MoonshotChatModelTests {
         // 打印结果
         flux.doOnNext(response -> {
 //            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
         }).then().block();
     }
+package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+
+import cn.hutool.system.SystemUtil;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.stepfun.StepFunChatModel;
+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.deepseek.DeepSeekChatModel;
+import org.springframework.ai.deepseek.DeepSeekChatOptions;
+import org.springframework.ai.deepseek.api.DeepSeekApi;
+import reactor.core.publisher.Flux;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
+
+/**
+ * {@link StepFunChatModel} 集成测试
+ *
+ * @author 芋道源码
+ */
+public class StepFunChatModelTests {
+
+    private static final String API_KEY = SystemUtil.get("STEPFUN_API_KEY",
+            "sk-xxxx");
+    private static final String MODEL = SystemUtil.get("STEPFUN_MODEL",
+            StepFunChatModel.MODEL_DEFAULT);
+
+    private final StepFunChatModel chatModel = new StepFunChatModel(DeepSeekChatModel.builder()
+            .deepSeekApi(DeepSeekApi.builder()
+                    .baseUrl(StepFunChatModel.BASE_URL)
+                    .completionsPath(StepFunChatModel.COMPLETE_PATH)
+                    .apiKey(API_KEY)
+                    .build())
+            .defaultOptions(DeepSeekChatOptions.builder()
+                    .model(MODEL)
+                    .temperature(0.7)
+                    .build())
+            .build());
+
+    @Test
+    @Disabled
+    public void testCall() {
+        validateApiKey(API_KEY);
+        // 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(Objects.requireNonNull(response.getResult()).getOutput());
+    }
+
+    @Test
+    @Disabled
+    public void testStream() {
+        validateApiKey(API_KEY);
+        // 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(Objects.requireNonNull(response.getResult()).getOutput());
+            System.out.println(response.getResult() != null ? response.getResult().getOutput() : null);
+        }).then().block();
+    }
+
+}
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
 import cn.iocoder.yudao.module.ai.framework.ai.core.model.xinghuo.XingHuoChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
@@ -8,13 +9,14 @@ 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.deepseek.DeepSeekChatModel;
 import org.springframework.ai.deepseek.DeepSeekChatOptions;
-import org.springframework.ai.deepseek.api.DeepSeekApi;
 import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
 /**
  * {@link XingHuoChatModel} 集成测试
@@ -23,24 +25,23 @@ import java.util.List;
  */
 public class XingHuoChatModelTests {
-    private final DeepSeekChatModel openAiChatModel = DeepSeekChatModel.builder()
-        .deepSeekApi(DeepSeekApi.builder()
-                .baseUrl(XingHuoChatModel.BASE_URL_V2)
-                .completionsPath(XingHuoChatModel.BASE_COMPLETIONS_PATH_V2)
-                .apiKey("75b161ed2aef4719b275d6e7f2a4d4cd:YWYxYWI2MTA4ODI2NGZlYTQyNjAzZTcz") // appKey:secretKey
-                .build())
-        .defaultOptions(DeepSeekChatOptions.builder()
-//                .model("generalv3.5") // 模型
-                .model("x1") // 模型
-                .temperature(0.7)
-                .build())
-        .build();
+    private static final String API_KEY = SystemUtil.get("XINGHUO_API_KEY",
+            "sk-xxxx"); // 按需改成你的讯飞星火 API Key
+    private static final String MODEL = SystemUtil.get("XINGHUO_MODEL",
+            XingHuoChatModel.MODEL_DEFAULT);
-    private final XingHuoChatModel chatModel = new XingHuoChatModel(openAiChatModel);
+    private final XingHuoChatModel chatModel = XingHuoChatModel.builder()
+            .apiKey(API_KEY)
+            .options(DeepSeekChatOptions.builder()
+                    .model(MODEL)
+                    .temperature(0.7)
+                    .build())
+            .build();
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -55,6 +56,7 @@ public class XingHuoChatModelTests {
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -69,11 +71,12 @@ public class XingHuoChatModelTests {
     @Test
     @Disabled
     public void testStream_thinking() {
+        validateApiKey(API_KEY);
         // 准备参数
         List<Message> messages = new ArrayList<>();
         messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
         DeepSeekChatOptions options = DeepSeekChatOptions.builder()
-                .model("x1")
+                .model(MODEL)
                 .build();
         // 调用
@@ -81,7 +84,7 @@ public class XingHuoChatModelTests {
         // 打印结果
         flux.doOnNext(response -> {
 //            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
         }).then().block();
     }
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.yiyan.YiYanChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
-import org.springaicommunity.qianfan.QianFanChatModel;
-import org.springaicommunity.qianfan.QianFanChatOptions;
-import org.springaicommunity.qianfan.api.QianFanApi;
 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.deepseek.DeepSeekChatModel;
+import org.springframework.ai.deepseek.DeepSeekChatOptions;
+import org.springframework.ai.deepseek.api.DeepSeekApi;
 import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
-// 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
+ * {@link YiYanChatModel} 的集成测试
  *
  * @author fansili
  */
 public class YiYanChatModelTests {
-    private final QianFanChatModel chatModel = new QianFanChatModel(
-            new QianFanApi("DGnyzREuaY7av7c38bOM9Ji2", "9aR8myflEOPDrEeLhoXv0FdqANOAyIZW"), // 密钥
-            QianFanChatOptions.builder()
-                    .model("ERNIE-4.5-8K-Preview")
-                    .build()
-    );
+    private static final String API_KEY = SystemUtil.get("YIYAN_API_KEY",
+            "sk-xxxx"); // 按需改成你的文心一言 API Key
+    private static final String MODEL = SystemUtil.get("YIYAN_MODEL",
+            YiYanChatModel.MODEL_DEFAULT);
+
+    private final YiYanChatModel chatModel = new YiYanChatModel(DeepSeekChatModel.builder()
+            .deepSeekApi(DeepSeekApi.builder()
+                    .baseUrl(YiYanChatModel.BASE_URL)
+                    .apiKey(API_KEY)
+                    .build())
+            .defaultOptions(DeepSeekChatOptions.builder()
+                    .model(MODEL)
+                    .build())
+            .build());
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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);
+        System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
     }
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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();
+        flux.doOnNext(response -> {
+//            System.out.println(response);
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
+        }).then().block();
     }
 }
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
+import cn.hutool.system.SystemUtil;
+import cn.iocoder.yudao.module.ai.framework.ai.core.model.zhipu.ZhiPuChatModel;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
 import org.springframework.ai.chat.messages.Message;
@@ -7,31 +9,43 @@ 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.zhipuai.ZhiPuAiChatModel;
-import org.springframework.ai.zhipuai.ZhiPuAiChatOptions;
-import org.springframework.ai.zhipuai.api.ZhiPuAiApi;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import org.springframework.ai.deepseek.DeepSeekChatOptions;
+import org.springframework.ai.deepseek.api.DeepSeekApi;
 import reactor.core.publisher.Flux;
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
+
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
 /**
- * {@link ZhiPuAiChatModel} 的集成测试
+ * {@link ZhiPuChatModel} 的集成测试
  *
  * @author 芋道源码
  */
 public class ZhiPuAiChatModelTests {
-    private final ZhiPuAiChatModel chatModel = new ZhiPuAiChatModel(
-            ZhiPuAiApi.builder().apiKey("2f35fb6ca4ea41fab898729b7fac086c.6ESSfPcCkxaKEUlR").build(), // 密钥
-            ZhiPuAiChatOptions.builder()
-                    .model(ZhiPuAiApi.ChatModel.GLM_4.getName()) // 模型
+    private static final String API_KEY = SystemUtil.get("ZHIPU_API_KEY",
+            "sk-xxxx"); // 按需改成你的智谱 API Key
+    private static final String MODEL = SystemUtil.get("ZHIPU_MODEL",
+            ZhiPuChatModel.MODEL_DEFAULT);
+
+    private final ZhiPuChatModel chatModel = new ZhiPuChatModel(DeepSeekChatModel.builder()
+            .deepSeekApi(DeepSeekApi.builder()
+                    .baseUrl(ZhiPuChatModel.BASE_URL)
+                    .apiKey(API_KEY)
+                    .build())
+            .defaultOptions(DeepSeekChatOptions.builder()
+                    .model(MODEL)
                     .build()
-    );
+            ).build());
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -41,12 +55,13 @@ public class ZhiPuAiChatModelTests {
         ChatResponse response = chatModel.call(new Prompt(messages));
         // 打印结果
         System.out.println(response);
-        System.out.println(response.getResult().getOutput());
+        System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
     }
     @Test
     @Disabled
     public void testStream() {
+        validateApiKey(API_KEY);
         // 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。"));
@@ -57,19 +72,19 @@ public class ZhiPuAiChatModelTests {
         // 打印结果
         flux.doOnNext(response -> {
 //            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
         }).then().block();
     }
-    // TODO @芋艿：暂时没解析 reasoning_content 结果，需要等官方修复
     @Test
     @Disabled
     public void testStream_thinking() {
+        validateApiKey(API_KEY);
         // 准备参数
         List<Message> messages = new ArrayList<>();
         messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
-        ZhiPuAiChatOptions options = ZhiPuAiChatOptions.builder()
-                .model("GLM-4.5")
+        DeepSeekChatOptions options = DeepSeekChatOptions.builder()
+                .model(MODEL)
                 .build();
         // 调用
@@ -77,7 +92,7 @@ public class ZhiPuAiChatModelTests {
         // 打印结果
         flux.doOnNext(response -> {
 //            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
+            System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
         }).then().block();
     }
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.image;
+import cn.hutool.system.SystemUtil;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
 import org.springframework.ai.image.ImageOptions;
@@ -9,6 +10,8 @@ import org.springframework.ai.openai.OpenAiImageModel;
 import org.springframework.ai.openai.OpenAiImageOptions;
 import org.springframework.ai.openai.api.OpenAiImageApi;
+import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
+
 /**
  * {@link OpenAiImageModel} 集成测试类
  *
@@ -16,17 +19,20 @@ import org.springframework.ai.openai.api.OpenAiImageApi;
  */
 public class OpenAiImageModelTests {
+    private static final String API_KEY = SystemUtil.get("OPENAI_API_KEY", "sk-xxxx");
+
     private final OpenAiImageModel imageModel = new OpenAiImageModel(OpenAiImageApi.builder()
             .baseUrl("https://api.holdai.top") // apiKey
-            .apiKey("sk-PytRecQlmjEteoa2RRN6cGnwslo72UUPLQVNEMS6K9yjbmpD")
+            .apiKey(API_KEY)
             .build());
     @Test
     @Disabled
     public void testCall() {
+        validateApiKey(API_KEY);
         // 准备参数
         ImageOptions options = OpenAiImageOptions.builder()
-                .model(OpenAiImageApi.ImageModel.DALL_E_2.getValue()) // 这个模型比较便宜
+                .model("gpt-image-1")
                 .height(256).width(256)
                 .build();
         ImagePrompt prompt = new ImagePrompt("中国长城!", options);
-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.springaicommunity.qianfan.QianFanImageModel;
-import org.springaicommunity.qianfan.QianFanImageOptions;
-import org.springaicommunity.qianfan.api.QianFanImageApi;
-import org.springframework.ai.image.ImagePrompt;
-import org.springframework.ai.image.ImageResponse;
-
-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);
-    }
-
-}
-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.zhipuai.ZhiPuAiImageModel;
-import org.springframework.ai.zhipuai.ZhiPuAiImageOptions;
-import org.springframework.ai.zhipuai.api.ZhiPuAiImageApi;
-
-/**
- * {@link ZhiPuAiImageModel} 集成测试
- */
-public class ZhiPuAiImageModelTests {
-
-    private final ZhiPuAiImageModel imageModel = new ZhiPuAiImageModel(
-            new ZhiPuAiImageApi("78d3228c1d9e5e342a3e1ab349e2dd7b.VXLoq5vrwK2ofboy") // 密钥
-    );
-
-    @Test
-    @Disabled
-    public void testCall() {
-        // 准备参数
-        ZhiPuAiImageOptions imageOptions = ZhiPuAiImageOptions.builder()
-                .model(ZhiPuAiImageApi.ImageModel.CogView_3.getValue())
-                .build();
-        ImagePrompt prompt = new ImagePrompt("万里长城", imageOptions);
-
-        // 方法调用
-        ImageResponse response = imageModel.call(prompt);
-        // 打印结果
-        System.out.println(response);
-    }
-
-}
@@ -164,36 +164,28 @@ spring:
         client:
           host: 127.0.0.1
           port: 19530
-    qianfan: # 文心一言
-      api-key: x0cuLZ7XsaTCU08vuJWO87Lg
-      secret-key: R9mYF9dl9KASgi5RUq0FQt3wRisSnOcK
-    zhipuai: # 智谱 AI
-      api-key: 32f84543e54eee31f8d56b2bd6020573.3vh9idLJZ2ZhxDEs
     openai: # OpenAI 官方
-      api-key: sk-aN6nWn3fILjrgLFT0fC4Aa60B72e4253826c77B29dC94f17
-      base-url: https://api.gptsapi.net
+      base-url: ${OPENAI_BASE_URL:https://api.openai.com}
+      api-key: ${OPENAI_API_KEY:sk-xxxx}
     azure: # OpenAI 微软
       openai:
         endpoint: https://eastusprejade.openai.azure.com
     anthropic: # Anthropic Claude
-      api-key: sk-muubv7cXeLw0Etgs743f365cD5Ea44429946Fa7e672d8942
+      base-url: ${ANTHROPIC_BASE_URL:https://api.anthropic.com}
+      api-key: ${ANTHROPIC_API_KEY:sk-xxxx}
     ollama:
       base-url: http://127.0.0.1:11434
       chat:
         model: llama3
     stabilityai:
-      api-key: sk-e53UqbboF8QJCscYvzJscJxJXoFcFg4iJjl1oqgE7baJETmx
+      api-key: ${STABILITYAI_API_KEY:sk-xxxx}
     dashscope: # 通义千问
-      api-key: sk-47aa124781be4bfb95244cc62f6xxxx
-    minimax: # Minimax：https://www.minimaxi.com/
-      api-key: xxxx
-    moonshot: # 月之暗面（KIMI）
-      api-key: sk-abc
+      api-key: ${DASHSCOPE_API_KEY:sk-xxxx}
     deepseek: # DeepSeek
-      api-key: sk-e94db327cc7d457d99a8de8810fc6b12
+      api-key: ${DEEPSEEK_API_KEY:sk-xxxx}
       chat:
         options:
-          model: deepseek-chat
+          model: deepseek-v4-flash
     model:
       rerank: false # 是否开启“通义千问”的 Rerank 模型，填写 dashscope 开启
     mcp:
@@ -218,34 +210,57 @@ yudao:
   ai:
     gemini: # 谷歌 Gemini
       enable: true
-      api-key: AIzaSyAVoBxgoFvvte820vEQMma2LKBnC98bqMQ
+      api-key: ${GEMINI_API_KEY:sk-xxxx}
       model: gemini-2.5-flash
     doubao: # 字节豆包
       enable: true
-      api-key: 5c1b5747-26d2-4ebd-a4e0-dd0e8d8b4272
-      model: doubao-1-5-lite-32k-250115
+      api-key: ${DOUBAO_API_KEY:sk-xxxx}
+      model: doubao-seed-2-1-turbo-260628
     hunyuan: # 腾讯混元
       enable: true
-      api-key: sk-abc
-      model: hunyuan-turbo
+      api-key: ${HUNYUAN_API_KEY:sk-xxxx}
+      model: hy3-preview
     siliconflow: # 硅基流动
       enable: true
-      api-key: sk-epsakfenqnyzoxhmbucsxlhkdqlcbnimslqoivkshalvdozz
-      model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+      api-key: ${SILICONFLOW_API_KEY:sk-xxxx}
+      model: deepseek-ai/DeepSeek-V4-Pro
     xinghuo: # 讯飞星火
       enable: true
-      appKey: 75b161ed2aef4719b275d6e7f2a4d4cd
-      secretKey: YWYxYWI2MTA4ODI2NGZlYTQyNjAzZTcz
-      model: x1
+      api-key: ${XINGHUO_API_KEY:sk-xxxx}
+      model: x2-flash
     baichuan: # 百川智能
       enable: true
-      api-key: sk-abc
-      model: Baichuan4-Turbo
+      api-key: ${BAICHUAN_API_KEY:sk-xxxx}
+      model: Baichuan-M3
+    yiyan: # 文心一言
+      enable: false
+      api-key: ${YIYAN_API_KEY:sk-xxxx}
+      model: ernie-5.1
+    zhipu: # 智谱 AI（GLM）
+      enable: false
+      api-key: ${ZHIPU_API_KEY:sk-xxxx}
+      model: glm-5.2
+    minimax: # MiniMax
+      enable: false
+      api-key: ${MINIMAX_API_KEY:sk-xxxx}
+      model: MiniMax-M3
+    moonshot: # 月之暗面（KIMI）
+      enable: false
+      api-key: ${MOONSHOT_API_KEY:sk-xxxx}
+      model: kimi-k2.6
+    stepfun: # 阶跃星辰
+      enable: false
+      api-key: ${STEPFUN_API_KEY:sk-xxxx}
+      model: step-3.7-flash
+    grok: # Grok
+      enable: false
+      api-key: ${GROK_API_KEY:sk-xxxx}
+      model: grok-4.3
     midjourney:
       enable: true
   #    base-url: https://api.holdai.top/mj-relax/mj
       base-url: https://api.holdai.top/mj
-      api-key: sk-dZEPiVaNcT3FHhef51996bAa0bC74806BeAb620dA5Da10Bf
+      api-key: ${MIDJOURNEY_API_KEY:sk-xxxx}
       notify-url: http://java.nat300.top/admin-api/ai/image/midjourney/notify
     suno:
       enable: true
@@ -253,7 +268,7 @@ yudao:
       base-url: http://127.0.0.1:3001
     web-search:
       enable: true
-      api-key: sk-40500e52840f4d24b956d0b1d80d9abe
+      api-key: ${WEB_SEARCH_API_KEY:sk-xxxx}
 --- #################### 芋道相关配置 ####################
@@ -351,4 +366,4 @@ yudao:
     message-bus:
       type: redis # 消息总线的类型
-debug: false
 \ No newline at end of file
+debug: false