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feat：【ai 大模型】增加 anthropic 接入
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YunaiV
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@ -84,6 +84,11 @@
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<artifactId>spring-ai-starter-model-azure-openai</artifactId>
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<version>${spring-ai.version}</version>
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</dependency>
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<dependency>
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<groupId>org.springframework.ai</groupId>
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<artifactId>spring-ai-starter-model-anthropic</artifactId>
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<version>${spring-ai.version}</version>
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</dependency>
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<dependency>
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<groupId>org.springframework.ai</groupId>
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<artifactId>spring-ai-starter-model-deepseek</artifactId>
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@ -33,6 +33,7 @@ public enum AiPlatformEnum implements ArrayValuable<String> {
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OPENAI("OpenAI", "OpenAI"), // OpenAI 官方
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AZURE_OPENAI("AzureOpenAI", "AzureOpenAI"), // OpenAI 微软
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ANTHROPIC("Anthropic", "Anthropic"), // Anthropic Claude
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OLLAMA("Ollama", "Ollama"),
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STABLE_DIFFUSION("StableDiffusion", "StableDiffusion"), // Stability AI
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@ -67,6 +67,7 @@ import org.springframework.ai.minimax.MiniMaxChatOptions;
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import org.springframework.ai.minimax.MiniMaxEmbeddingModel;
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import org.springframework.ai.minimax.MiniMaxEmbeddingOptions;
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import org.springframework.ai.minimax.api.MiniMaxApi;
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import org.springframework.ai.model.anthropic.autoconfigure.AnthropicChatAutoConfiguration;
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import org.springframework.ai.model.azure.openai.autoconfigure.AzureOpenAiChatAutoConfiguration;
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import org.springframework.ai.model.azure.openai.autoconfigure.AzureOpenAiEmbeddingAutoConfiguration;
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import org.springframework.ai.model.azure.openai.autoconfigure.AzureOpenAiEmbeddingProperties;
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@ -93,6 +94,8 @@ import org.springframework.ai.openai.OpenAiImageModel;
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import org.springframework.ai.openai.api.OpenAiApi;
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import org.springframework.ai.openai.api.OpenAiImageApi;
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import org.springframework.ai.openai.api.common.OpenAiApiConstants;
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import org.springframework.ai.anthropic.AnthropicChatModel;
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import org.springframework.ai.anthropic.api.AnthropicApi;
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import org.springframework.ai.stabilityai.StabilityAiImageModel;
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import org.springframework.ai.stabilityai.api.StabilityAiApi;
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import org.springframework.ai.vectorstore.SimpleVectorStore;
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@ -168,6 +171,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
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return buildOpenAiChatModel(apiKey, url);
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case AZURE_OPENAI:
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return buildAzureOpenAiChatModel(apiKey, url);
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case ANTHROPIC:
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return buildAnthropicChatModel(apiKey, url);
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case OLLAMA:
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return buildOllamaChatModel(url);
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default:
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@ -206,6 +211,8 @@ public class AiModelFactoryImpl implements AiModelFactory {
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return SpringUtil.getBean(OpenAiChatModel.class);
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case AZURE_OPENAI:
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return SpringUtil.getBean(AzureOpenAiChatModel.class);
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case ANTHROPIC:
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return SpringUtil.getBean(AnthropicChatModel.class);
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case OLLAMA:
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return SpringUtil.getBean(OllamaChatModel.class);
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default:
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@ -512,6 +519,21 @@ public class AiModelFactoryImpl implements AiModelFactory {
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.build();
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}
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/**
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* 可参考 {@link AnthropicChatAutoConfiguration} 的 anthropicApi 方法
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*/
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private static AnthropicChatModel buildAnthropicChatModel(String apiKey, String url) {
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AnthropicApi.Builder builder = AnthropicApi.builder().apiKey(apiKey);
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if (StrUtil.isNotEmpty(url)) {
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builder.baseUrl(url);
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}
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AnthropicApi anthropicApi = builder.build();
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return AnthropicChatModel.builder()
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.anthropicApi(anthropicApi)
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.toolCallingManager(getToolCallingManager())
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.build();
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}
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/**
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* 可参考 {@link OpenAiImageAutoConfiguration} 的 openAiImageModel 方法
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*/
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@ -8,6 +8,7 @@ import cn.iocoder.yudao.module.ai.enums.model.AiPlatformEnum;
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import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatOptions;
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import org.springaicommunity.moonshot.MoonshotChatOptions;
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import org.springaicommunity.qianfan.QianFanChatOptions;
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import org.springframework.ai.anthropic.AnthropicChatOptions;
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import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
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import org.springframework.ai.chat.messages.*;
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import org.springframework.ai.chat.prompt.ChatOptions;
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@ -67,6 +68,9 @@ public class AiUtils {
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case AZURE_OPENAI:
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return AzureOpenAiChatOptions.builder().deploymentName(model).temperature(temperature).maxTokens(maxTokens)
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.toolNames(toolNames).toolContext(toolContext).build();
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case ANTHROPIC:
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return AnthropicChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens)
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.toolNames(toolNames).toolContext(toolContext).build();
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case OLLAMA:
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return OllamaOptions.builder().model(model).temperature(temperature).numPredict(maxTokens)
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.toolNames(toolNames).toolContext(toolContext).build();
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@ -0,0 +1,59 @@
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package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
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import org.junit.jupiter.api.Disabled;
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import org.junit.jupiter.api.Test;
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import org.springframework.ai.anthropic.AnthropicChatModel;
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import org.springframework.ai.anthropic.api.AnthropicApi;
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import org.springframework.ai.chat.messages.Message;
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import org.springframework.ai.chat.messages.SystemMessage;
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import org.springframework.ai.chat.messages.UserMessage;
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import org.springframework.ai.chat.model.ChatResponse;
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import org.springframework.ai.chat.prompt.Prompt;
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import reactor.core.publisher.Flux;
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import java.util.ArrayList;
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import java.util.List;
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/**
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* {@link AnthropicChatModel} 集成测试类
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*
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* @author 芋道源码
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*/
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public class AnthropicChatModelTest {
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private final AnthropicChatModel chatModel = AnthropicChatModel.builder()
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.anthropicApi(AnthropicApi.builder()
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.apiKey("sk-muubv7cXeLw0Etgs743f365cD5Ea44429946Fa7e672d8942")
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.baseUrl("https://aihubmix.com")
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.build())
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.build();
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@Test
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@Disabled
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public void testCall() {
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// 准备参数
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List<Message> messages = new ArrayList<>();
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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。"));
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messages.add(new UserMessage("1 + 1 = ？"));
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// 调用
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ChatResponse response = chatModel.call(new Prompt(messages));
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// 打印结果
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System.out.println(response);
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}
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@Test
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@Disabled
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public void testStream() {
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// 准备参数
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List<Message> messages = new ArrayList<>();
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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。"));
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messages.add(new UserMessage("1 + 1 = ？"));
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// 调用
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Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
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// 打印结果
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flux.doOnNext(System.out::println).then().block();
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}
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}
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@ -16,8 +16,11 @@ import org.springframework.ai.image.ImageResponse;
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*/
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public class TongYiImagesModelTest {
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private final DashScopeImageModel imageModel = new DashScopeImageModel(
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new DashScopeImageApi("sk-7d903764249848cfa912733146da12d1"));
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private final DashScopeImageModel imageModel = DashScopeImageModel.builder()
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.dashScopeApi(DashScopeImageApi.builder()
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.apiKey("sk-47aa124781be4bfb95244cc62f63f7d0")
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.build())
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.build();
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@Test
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@Disabled
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@ -175,7 +175,8 @@ spring:
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azure: # OpenAI 微软
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openai:
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endpoint: https://eastusprejade.openai.azure.com
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api-key: xxx
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anthropic: # Anthropic Claude
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api-key: sk-muubv7cXeLw0Etgs743f365cD5Ea44429946Fa7e672d8942
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ollama:
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base-url: http://127.0.0.1:11434
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chat:
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