feat：【AI 大模型】文心一言存在 springai 接入问题，无法使用 https://github.com/spring-ai-community/qianfan/issues/6

YunaiV
1 parent 750709d7
Showing 5 changed files with 59 additions and 67 deletions
yudao-module-ai/src/main/java/cn/iocoder/yudao/module/ai/framework/ai/core/AiModelFactoryImpl.java
yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/LlamaChatModelTests.java
yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/OllamaChatModelTests.java
yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/YiYanChatModelTests.java
yudao-module-ai/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/image/QianFanImageTests.java
@@ -357,7 +357,7 @@ public class AiModelFactoryImpl implements AiModelFactory {
      * 可参考 {@link QianFanChatAutoConfiguration} 的 qianFanChatModel 方法
      */
     private static QianFanChatModel buildYiYanChatModel(String key) {
-        // TODO @芋艿：未测试
+        // 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);
@@ -370,7 +370,7 @@ public class AiModelFactoryImpl implements AiModelFactory {
      * 可参考 {@link QianFanEmbeddingAutoConfiguration} 的 qianFanImageModel 方法
      */
     private QianFanImageModel buildQianFanImageModel(String key) {
-        // TODO @芋艿：未测试
+        // 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);
@@ -525,7 +525,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
      * 创建 SiliconFlowImageModel 对象
      */
     private SiliconFlowImageModel buildSiliconFlowImageModel(String apiToken, String url) {
-        // TODO @芋艿：未测试
         url = StrUtil.blankToDefault(url, SiliconFlowApiConstants.DEFAULT_BASE_URL);
         SiliconFlowImageApi openAiApi = new SiliconFlowImageApi(url, apiToken);
         return new SiliconFlowImageModel(openAiApi);
@@ -535,9 +534,11 @@ public class AiModelFactoryImpl implements AiModelFactory {
      * 可参考 {@link OllamaChatAutoConfiguration} 的 ollamaChatModel 方法
      */
     private static OllamaChatModel buildOllamaChatModel(String url) {
-        // TODO @芋艿：未测试
         OllamaApi ollamaApi = OllamaApi.builder().baseUrl(url).build();
-        return OllamaChatModel.builder().ollamaApi(ollamaApi).toolCallingManager(getToolCallingManager()).build();
+        return OllamaChatModel.builder()
+                .ollamaApi(ollamaApi)
+                .toolCallingManager(getToolCallingManager())
+                .build();
     }
     /**
@@ -596,7 +597,10 @@ public class AiModelFactoryImpl implements AiModelFactory {
     private OllamaEmbeddingModel buildOllamaEmbeddingModel(String url, String model) {
         OllamaApi ollamaApi = OllamaApi.builder().baseUrl(url).build();
         OllamaOptions ollamaOptions = OllamaOptions.builder().model(model).build();
-        return OllamaEmbeddingModel.builder().ollamaApi(ollamaApi).defaultOptions(ollamaOptions).build();
+        return OllamaEmbeddingModel.builder()
+                .ollamaApi(ollamaApi)
+                .defaultOptions(ollamaOptions)
+                .build();
     }
     /**
 package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
-import org.junit.jupiter.api.Disabled;
-import org.junit.jupiter.api.Test;
-import org.springframework.ai.chat.messages.Message;
-import org.springframework.ai.chat.messages.SystemMessage;
-import org.springframework.ai.chat.messages.UserMessage;
-import org.springframework.ai.chat.model.ChatResponse;
-import org.springframework.ai.chat.prompt.Prompt;
 import org.springframework.ai.ollama.OllamaChatModel;
-import org.springframework.ai.ollama.api.OllamaApi;
-import org.springframework.ai.ollama.api.OllamaModel;
-import org.springframework.ai.ollama.api.OllamaOptions;
-import reactor.core.publisher.Flux;
-
-import java.util.ArrayList;
-import java.util.List;
 /**
  * {@link OllamaChatModel} 集成测试
@@ -23,43 +9,43 @@ import java.util.List;
  */
 public class LlamaChatModelTests {
-    private final OllamaChatModel chatModel = OllamaChatModel.builder()
-            .ollamaApi(new OllamaApi("http://127.0.0.1:11434")) // Ollama 服务地址
-            .defaultOptions(OllamaOptions.builder()
-                    .model(OllamaModel.LLAMA3.getName()) // 模型
-                    .build())
-            .build();
-
-    @Test
-    @Disabled
-    public void testCall() {
-        // 准备参数
-        List<Message> messages = new ArrayList<>();
-        messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
-        messages.add(new UserMessage("1 + 1 = ？"));
-
-        // 调用
-        ChatResponse response = chatModel.call(new Prompt(messages));
-        // 打印结果
-        System.out.println(response);
-        System.out.println(response.getResult().getOutput());
-    }
-
-    @Test
-    @Disabled
-    public void testStream() {
-        // 准备参数
-        List<Message> messages = new ArrayList<>();
-        messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
-        messages.add(new UserMessage("1 + 1 = ？"));
-
-        // 调用
-        Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
-        // 打印结果
-        flux.doOnNext(response -> {
-//            System.out.println(response);
-            System.out.println(response.getResult().getOutput());
-        }).then().block();
-    }
+//    private final OllamaChatModel chatModel = OllamaChatModel.builder()
+//            .ollamaApi(new OllamaApi("http://127.0.0.1:11434")) // Ollama 服务地址
+//            .defaultOptions(OllamaOptions.builder()
+//                    .model(OllamaModel.LLAMA3.getName()) // 模型
+//                    .build())
+//            .build();
+//
+//    @Test
+//    @Disabled
+//    public void testCall() {
+//        // 准备参数
+//        List<Message> messages = new ArrayList<>();
+//        messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
+//        messages.add(new UserMessage("1 + 1 = ？"));
+//
+//        // 调用
+//        ChatResponse response = chatModel.call(new Prompt(messages));
+//        // 打印结果
+//        System.out.println(response);
+//        System.out.println(response.getResult().getOutput());
+//    }
+//
+//    @Test
+//    @Disabled
+//    public void testStream() {
+//        // 准备参数
+//        List<Message> messages = new ArrayList<>();
+//        messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
+//        messages.add(new UserMessage("1 + 1 = ？"));
+//
+//        // 调用
+//        Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
+//        // 打印结果
+//        flux.doOnNext(response -> {
+////            System.out.println(response);
+//            System.out.println(response.getResult().getOutput());
+//        }).then().block();
+//    }
 }
@@ -23,7 +23,9 @@ import java.util.List;
 public class OllamaChatModelTests {
     private final OllamaChatModel chatModel = OllamaChatModel.builder()
-            .ollamaApi(new OllamaApi("http://127.0.0.1:11434")) // Ollama 服务地址
+            .ollamaApi(OllamaApi.builder()
+                    .baseUrl("http://127.0.0.1:11434") // Ollama 服务地址
+                    .build())
             .defaultOptions(OllamaOptions.builder()
 //                    .model("qwen") // 模型（https://ollama.com/library/qwen）
                     .model("deepseek-r1") // 模型（https://ollama.com/library/deepseek-r1）
@@ -2,13 +2,13 @@ package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
+import org.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.qianfan.QianFanChatModel;
-import org.springframework.ai.qianfan.QianFanChatOptions;
-import org.springframework.ai.qianfan.api.QianFanApi;
 import reactor.core.publisher.Flux;
 import java.util.ArrayList;
@@ -23,9 +23,9 @@ import java.util.List;
 public class YiYanChatModelTests {
     private final QianFanChatModel chatModel = new QianFanChatModel(
-            new QianFanApi("qS8k8dYr2nXunagK4SSU8Xjj", "pHGbx51ql2f0hOyabQvSZezahVC3hh3e"), // 密钥
+            new QianFanApi("DGnyzREuaY7av7c38bOM9Ji2", "9aR8myflEOPDrEeLhoXv0FdqANOAyIZW"), // 密钥
             QianFanChatOptions.builder()
-                    .model(QianFanApi.ChatModel.ERNIE_4_0_8K_Preview.getValue())
+                    .model("ERNIE-4.5-8K-Preview")
                     .build()
     );
@@ -2,11 +2,11 @@ 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 org.springframework.ai.qianfan.QianFanImageModel;
-import org.springframework.ai.qianfan.QianFanImageOptions;
-import org.springframework.ai.qianfan.api.QianFanImageApi;
 import static cn.iocoder.yudao.module.ai.framework.ai.core.model.image.StabilityAiImageModelTests.viewImage;