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【功能新增】AI：集成 Azure 的 OpenAI 模型

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YunaiV
2024-08-10 14:34:57 +08:00
parent b453856864
commit 83bd96d672
7 changed files with 47 additions and 6 deletions
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7
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/config/YudaoAiAutoConfiguration.java
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@@ -12,6 +12,7 @@ import com.alibaba.cloud.ai.tongyi.TongYiAutoConfiguration;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.autoconfigure.vectorstore.redis.RedisVectorStoreProperties;
import org.springframework.ai.document.MetadataMode;
import org.springframework.ai.embedding.EmbeddingModel;
import org.springframework.ai.transformer.splitter.TokenTextSplitter;
import org.springframework.ai.transformers.TransformersEmbeddingModel;
import org.springframework.ai.vectorstore.RedisVectorStore;
@@ -21,6 +22,7 @@ import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Import;
import org.springframework.context.annotation.Lazy;
import redis.clients.jedis.JedisPooled;
/**
@@ -82,7 +84,8 @@ public class YudaoAiAutoConfiguration {
// ========== rag 相关 ==========
@Bean
public TransformersEmbeddingModel transformersEmbeddingClient() {
@Lazy // TODO 芋艿：临时注释，避免无法启动
public EmbeddingModel transformersEmbeddingClient() {
return new TransformersEmbeddingModel(MetadataMode.EMBED);
}
@@ -90,6 +93,7 @@ public class YudaoAiAutoConfiguration {
* 我们启动有加载很多 Embedding 模型，不晓得取哪个好，先 new 个 TransformersEmbeddingModel 跑
*/
@Bean
@Lazy // TODO 芋艿：临时注释，避免无法启动
public RedisVectorStore vectorStore(TransformersEmbeddingModel transformersEmbeddingModel, RedisVectorStoreProperties properties,
RedisProperties redisProperties) {
var config = RedisVectorStore.RedisVectorStoreConfig.builder()
@@ -105,6 +109,7 @@ public class YudaoAiAutoConfiguration {
}
@Bean
@Lazy // TODO 芋艿：临时注释，避免无法启动
public TokenTextSplitter tokenTextSplitter() {
return new TokenTextSplitter(500, 100, 5, 10000, true);
}

3
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/enums/AiPlatformEnum.java
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@@ -22,7 +22,8 @@ public enum AiPlatformEnum {
// ========== 国外平台 ==========
OPENAI("OpenAI", "OpenAI"),
OPENAI("OpenAI", "OpenAI"), // OpenAI 官方
AZURE_OPENAI("AzureOpenAI", "AzureOpenAI"), // OpenAI 微软
OLLAMA("Ollama", "Ollama"),
STABLE_DIFFUSION("StableDiffusion", "StableDiffusion"), // Stability AI

24
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/factory/AiModelFactoryImpl.java
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@@ -21,6 +21,10 @@ import com.alibaba.cloud.ai.tongyi.image.TongYiImagesModel;
import com.alibaba.cloud.ai.tongyi.image.TongYiImagesProperties;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesis;
import com.azure.ai.openai.OpenAIClient;
import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiAutoConfiguration;
import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiChatProperties;
import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiConnectionProperties;
import org.springframework.ai.autoconfigure.ollama.OllamaAutoConfiguration;
import org.springframework.ai.autoconfigure.openai.OpenAiAutoConfiguration;
import org.springframework.ai.autoconfigure.qianfan.QianFanAutoConfiguration;
@@ -31,6 +35,7 @@ import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiAutoConfiguration;
import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiChatProperties;
import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiConnectionProperties;
import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiImageProperties;
import org.springframework.ai.azure.openai.AzureOpenAiChatModel;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.image.ImageModel;
import org.springframework.ai.model.function.FunctionCallbackContext;
@@ -82,6 +87,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
return buildXingHuoChatModel(apiKey);
case OPENAI:
return buildOpenAiChatModel(apiKey, url);
case AZURE_OPENAI:
return buildAzureOpenAiChatModel(apiKey, url);
case OLLAMA:
return buildOllamaChatModel(url);
default:
@@ -106,6 +113,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
return SpringUtil.getBean(XingHuoChatModel.class);
case OPENAI:
return SpringUtil.getBean(OpenAiChatModel.class);
case AZURE_OPENAI:
return SpringUtil.getBean(AzureOpenAiChatModel.class);
case OLLAMA:
return SpringUtil.getBean(OllamaChatModel.class);
default:
@@ -268,6 +277,21 @@ public class AiModelFactoryImpl implements AiModelFactory {
return new OpenAiChatModel(openAiApi);
}
/**
* 可参考 {@link AzureOpenAiAutoConfiguration}
*/
private static AzureOpenAiChatModel buildAzureOpenAiChatModel(String apiKey, String url) {
AzureOpenAiAutoConfiguration azureOpenAiAutoConfiguration = new AzureOpenAiAutoConfiguration();
// 创建 OpenAIClient 对象
AzureOpenAiConnectionProperties connectionProperties = new AzureOpenAiConnectionProperties();
connectionProperties.setApiKey(apiKey);
connectionProperties.setEndpoint(url);
OpenAIClient openAIClient = azureOpenAiAutoConfiguration.openAIClient(connectionProperties);
// 获取 AzureOpenAiChatProperties 对象
AzureOpenAiChatProperties chatProperties = SpringUtil.getBean(AzureOpenAiChatProperties.class);
return azureOpenAiAutoConfiguration.azureOpenAiChatModel(openAIClient, chatProperties, null, null);
}
/**
* 可参考 {@link OpenAiAutoConfiguration}
*/

4
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/util/AiUtils.java
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@@ -5,6 +5,7 @@ import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
import cn.iocoder.yudao.framework.ai.core.model.deepseek.DeepSeekChatOptions;
import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatOptions;
import com.alibaba.cloud.ai.tongyi.chat.TongYiChatOptions;
import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
import org.springframework.ai.chat.messages.*;
import org.springframework.ai.chat.prompt.ChatOptions;
import org.springframework.ai.ollama.api.OllamaOptions;
@@ -35,6 +36,9 @@ public class AiUtils {
return XingHuoChatOptions.builder().model(model).temperature(temperatureF).maxTokens(maxTokens).build();
case OPENAI:
return OpenAiChatOptions.builder().withModel(model).withTemperature(temperatureF).withMaxTokens(maxTokens).build();
case AZURE_OPENAI:
// TODO 芋艿：貌似没 model 字段？？？！
return AzureOpenAiChatOptions.builder().withDeploymentName(model).withTemperature(temperatureF).withMaxTokens(maxTokens).build();
case OLLAMA:
return OllamaOptions.create().withModel(model).withTemperature(temperatureF).withNumPredict(maxTokens);
default: