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【代码新增】AI：适配腾讯混元大模型、知识引擎（deepseek）

This commit is contained in:
YunaiV 2025-02-23 21:14:53 +08:00
parent 46726fe67c
commit a1d5602c40
12 changed files with 282 additions and 46 deletions
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85
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/config/YudaoAiAutoConfiguration.java
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@ -5,6 +5,7 @@ import cn.iocoder.yudao.framework.ai.core.factory.AiModelFactory;
import cn.iocoder.yudao.framework.ai.core.factory.AiModelFactoryImpl;
import cn.iocoder.yudao.framework.ai.core.model.deepseek.DeepSeekChatModel;
import cn.iocoder.yudao.framework.ai.core.model.doubao.DouBaoChatModel;
import cn.iocoder.yudao.framework.ai.core.model.hunyuan.HunYuanChatModel;
import cn.iocoder.yudao.framework.ai.core.model.midjourney.api.MidjourneyApi;
import cn.iocoder.yudao.framework.ai.core.model.suno.api.SunoApi;
import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatModel;
@ -64,32 +65,6 @@ public class YudaoAiAutoConfiguration {
return new DeepSeekChatModel(openAiChatModel);
}
@Bean
@ConditionalOnProperty(value = "yudao.ai.xinghuo.enable", havingValue = "true")
public XingHuoChatModel xingHuoChatClient(YudaoAiProperties yudaoAiProperties) {
YudaoAiProperties.XingHuoProperties properties = yudaoAiProperties.getXinghuo();
return buildXingHuoChatClient(properties);
}
public XingHuoChatModel buildXingHuoChatClient(YudaoAiProperties.XingHuoProperties properties) {
if (StrUtil.isEmpty(properties.getModel())) {
properties.setModel(XingHuoChatModel.MODEL_DEFAULT);
}
OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(XingHuoChatModel.BASE_URL)
.apiKey(properties.getAppKey() + ":" + properties.getSecretKey())
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model(properties.getModel())
.temperature(properties.getTemperature())
.maxTokens(properties.getMaxTokens())
.topP(properties.getTopP())
.build())
.build();
return new XingHuoChatModel(openAiChatModel);
}
@Bean
@ConditionalOnProperty(value = "yudao.ai.doubao.enable", havingValue = "true")
public DouBaoChatModel douBaoChatClient(YudaoAiProperties yudaoAiProperties) {
@ -116,6 +91,64 @@ public class YudaoAiAutoConfiguration {
return new DouBaoChatModel(openAiChatModel);
}
@Bean
@ConditionalOnProperty(value = "yudao.ai.hunyuan.enable", havingValue = "true")
public HunYuanChatModel hunYuanChatClient(YudaoAiProperties yudaoAiProperties) {
YudaoAiProperties.HunYuanProperties properties = yudaoAiProperties.getHunyuan();
return buildHunYuanChatClient(properties);
}
public HunYuanChatModel buildHunYuanChatClient(YudaoAiProperties.HunYuanProperties properties) {
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);
}
// 创建 OpenAiChatModel、HunYuanChatModel 对象
OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(properties.getBaseUrl())
.apiKey(properties.getApiKey())
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model(properties.getModel())
.temperature(properties.getTemperature())
.maxTokens(properties.getMaxTokens())
.topP(properties.getTopP())
.build())
.build();
return new HunYuanChatModel(openAiChatModel);
}
@Bean
@ConditionalOnProperty(value = "yudao.ai.xinghuo.enable", havingValue = "true")
public XingHuoChatModel xingHuoChatClient(YudaoAiProperties yudaoAiProperties) {
YudaoAiProperties.XingHuoProperties properties = yudaoAiProperties.getXinghuo();
return buildXingHuoChatClient(properties);
}
public XingHuoChatModel buildXingHuoChatClient(YudaoAiProperties.XingHuoProperties properties) {
if (StrUtil.isEmpty(properties.getModel())) {
properties.setModel(XingHuoChatModel.MODEL_DEFAULT);
}
OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(XingHuoChatModel.BASE_URL)
.apiKey(properties.getAppKey() + ":" + properties.getSecretKey())
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model(properties.getModel())
.temperature(properties.getTemperature())
.maxTokens(properties.getMaxTokens())
.topP(properties.getTopP())
.build())
.build();
return new XingHuoChatModel(openAiChatModel);
}
@Bean
@ConditionalOnProperty(value = "yudao.ai.midjourney.enable", havingValue = "true")
public MidjourneyApi midjourneyApi(YudaoAiProperties yudaoAiProperties) {

50
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/config/YudaoAiProperties.java
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@ -25,6 +25,12 @@ public class YudaoAiProperties {
@SuppressWarnings("SpellCheckingInspection")
private DouBaoProperties doubao;
/**
* 腾讯混元
*/
@SuppressWarnings("SpellCheckingInspection")
private HunYuanProperties hunyuan;
/**
* 讯飞星火
*/
@ -42,21 +48,6 @@ public class YudaoAiProperties {
@SuppressWarnings("SpellCheckingInspection")
private SunoProperties suno;
@Data
public static class XingHuoProperties {
private String enable;
private String appId;
private String appKey;
private String secretKey;
private String model;
private Double temperature;
private Integer maxTokens;
private Double topP;
}
@Data
public static class DeepSeekProperties {
@ -83,6 +74,35 @@ public class YudaoAiProperties {
}
@Data
public static class HunYuanProperties {
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 XingHuoProperties {
private String enable;
private String appId;
private String appKey;
private String secretKey;
private String model;
private Double temperature;
private Integer maxTokens;
private Double topP;
}
@Data
public static class MidjourneyProperties {

1
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/enums/AiPlatformEnum.java
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@ -20,6 +20,7 @@ public enum AiPlatformEnum {
ZHI_PU("ZhiPu", "智谱"), // 智谱 AI
XING_HUO("XingHuo", "星火"), // 讯飞
DOU_BAO("DouBao", "豆包"), // 字节
HUN_YUAN("HunYuan", "混元"), // 腾讯
// ========== 国外平台 ==========

16
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/factory/AiModelFactoryImpl.java
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@ -11,6 +11,7 @@ import cn.iocoder.yudao.framework.ai.config.YudaoAiProperties;
import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
import cn.iocoder.yudao.framework.ai.core.model.deepseek.DeepSeekChatModel;
import cn.iocoder.yudao.framework.ai.core.model.doubao.DouBaoChatModel;
import cn.iocoder.yudao.framework.ai.core.model.hunyuan.HunYuanChatModel;
import cn.iocoder.yudao.framework.ai.core.model.midjourney.api.MidjourneyApi;
import cn.iocoder.yudao.framework.ai.core.model.suno.api.SunoApi;
import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatModel;
@ -77,6 +78,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
return buildDeepSeekChatModel(apiKey);
case DOU_BAO:
return buildDouBaoChatModel(apiKey);
case HUN_YUAN:
return buildHunYuanChatModel(apiKey, url);
case ZHI_PU:
return buildZhiPuChatModel(apiKey, url);
case XING_HUO:
@ -105,6 +108,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
return SpringUtil.getBean(DeepSeekChatModel.class);
case DOU_BAO:
return SpringUtil.getBean(DouBaoChatModel.class);
case HUN_YUAN:
return SpringUtil.getBean(HunYuanChatModel.class);
case ZHI_PU:
return SpringUtil.getBean(ZhiPuAiChatModel.class);
case XING_HUO:
@ -272,10 +277,19 @@ public class AiModelFactoryImpl implements AiModelFactory {
*/
private ChatModel buildDouBaoChatModel(String apiKey) {
YudaoAiProperties.DouBaoProperties properties = new YudaoAiProperties.DouBaoProperties()
.setApiKey(apiKey);
.setApiKey(apiKey);
return new YudaoAiAutoConfiguration().buildDouBaoChatClient(properties);
}
/**
* 可参考 {@link YudaoAiAutoConfiguration#hunYuanChatClient(YudaoAiProperties)}
*/
private ChatModel buildHunYuanChatModel(String apiKey, String url) {
YudaoAiProperties.HunYuanProperties properties = new YudaoAiProperties.HunYuanProperties()
.setBaseUrl(url).setApiKey(apiKey);
return new YudaoAiAutoConfiguration().buildHunYuanChatClient(properties);
}
/**
* 可参考 {@link ZhiPuAiAutoConfiguration} 的 zhiPuAiChatModel 方法
*/

52
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/model/hunyuan/HunYuanChatModel.java Normal file
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@ -0,0 +1,52 @@
package cn.iocoder.yudao.framework.ai.core.model.hunyuan;
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.openai.OpenAiChatModel;
import reactor.core.publisher.Flux;
/**
* 腾云混元 {@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
*
* @author fansili
*/
@Slf4j
@RequiredArgsConstructor
public class HunYuanChatModel implements ChatModel {
public static final String BASE_URL = "https://api.hunyuan.cloud.tencent.com";
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";
/**
* 兼容 OpenAI 接口，进行复用
*/
private final OpenAiChatModel openAiChatModel;
@Override
public ChatResponse call(Prompt prompt) {
return openAiChatModel.call(prompt);
}
@Override
public Flux<ChatResponse> stream(Prompt prompt) {
return openAiChatModel.stream(prompt);
}
@Override
public ChatOptions getDefaultOptions() {
return openAiChatModel.getDefaultOptions();
}
}

1
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/util/AiUtils.java
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@ -31,6 +31,7 @@ public class AiUtils {
case OPENAI:
case DEEP_SEEK: // 复用 OpenAI 客户端
case DOU_BAO: // 复用 OpenAI 客户端
case HUN_YUAN: // 复用 OpenAI 客户端
case XING_HUO: // 复用 OpenAI 客户端
return OpenAiChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens).build();
case AZURE_OPENAI:

2
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/DeepSeekChatModelTests.java
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@ -23,7 +23,7 @@ import java.util.List;
*/
public class DeepSeekChatModelTests {
private static final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
private final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(DeepSeekChatModel.BASE_URL)
.apiKey("sk-e52047409b144d97b791a6a46a2d") // apiKey

2
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/DouBaoChatModelTests.java
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@ -24,7 +24,7 @@ import java.util.List;
*/
public class DouBaoChatModelTests {
private static final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
private final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(DouBaoChatModel.BASE_URL)
.apiKey("5c1b5747-26d2-4ebd-a4e0-dd0e8d8b4272") // apiKey

111
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/HunYuanChatModelTests.java Normal file
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@ -0,0 +1,111 @@
package cn.iocoder.yudao.framework.ai.chat;
import cn.iocoder.yudao.framework.ai.core.model.deepseek.DeepSeekChatModel;
import cn.iocoder.yudao.framework.ai.core.model.hunyuan.HunYuanChatModel;
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;
/**
* {@link DeepSeekChatModel} 集成测试
*
* @author 芋道源码
*/
public class HunYuanChatModelTests {
private final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(HunYuanChatModel.BASE_URL)
.apiKey("sk-bcd") // apiKey
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model(HunYuanChatModel.MODEL_DEFAULT) // 模型
.temperature(0.7)
.build())
.build();
private final HunYuanChatModel chatModel = new HunYuanChatModel(openAiChatModel);
@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);
}
@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(System.out::println).then().block();
}
private final OpenAiChatModel deepSeekOpenAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(HunYuanChatModel.DEEP_SEEK_BASE_URL)
.apiKey("sk-abc") // apiKey
.build())
.defaultOptions(OpenAiChatOptions.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_deekseek() {
// 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();
}
}

2
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/OpenAIChatModelTests.java
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@ -22,7 +22,7 @@ import java.util.List;
*/
public class OpenAIChatModelTests {
private static final OpenAiChatModel chatModel = OpenAiChatModel.builder()
private final OpenAiChatModel chatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl("https://api.holdai.top")
.apiKey("sk-aN6nWn3fILjrgLFT0fC4Aa60B72e4253826c77B29dC94f17") // apiKey

2
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/XingHuoChatModelTests.java
View File

@ -23,7 +23,7 @@ import java.util.List;
*/
public class XingHuoChatModelTests {
private static final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
private final OpenAiChatModel openAiChatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl(XingHuoChatModel.BASE_URL)
.apiKey("75b161ed2aef4719b275d6e7f2a4d4cd:YWYxYWI2MTA4ODI2NGZlYTQyNjAzZTcz") // appKey:secretKey

4
yudao-server/src/main/resources/application.yaml
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@ -188,6 +188,10 @@ yudao:
enable: true
api-key: 5c1b5747-26d2-4ebd-a4e0-dd0e8d8b4272
model: doubao-1-5-lite-32k-250115
hunyuan: # 腾讯混元
enable: true
api-key: sk-abc
model: hunyuan-turbo
xinghuo: # 讯飞星火
enable: true
appKey: 75b161ed2aef4719b275d6e7f2a4d4cd