人类本位3聊天

export SPRING_AI_ANTHROPIC_API_KEY=<INSERT KEY HERE>

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-anthropic-spring-boot-starter</artifactId>
</dependency>

dependencies {
    implementation 'org.springframework.ai:spring-ai-anthropic-spring-boot-starter'
}

ChatResponse response = chatClient.call(
    new Prompt(
        "Generate the names of 5 famous pirates.",
        AnthropicChatOptions.builder()
            .withModel("claude-2.1")
            .withTemperature(0.4)
        .build()
    ));

byte[] imageData = new ClassPathResource("/multimodal.test.png").getContentAsByteArray();

var userMessage = new UserMessage("Explain what do you see on this picture?",
        List.of(new Media(MimeTypeUtils.IMAGE_PNG, imageData)));

ChatResponse response = chatClient.call(new Prompt(List.of(userMessage)));

logger.info(response.getResult().getOutput().getContent());

图片展示了一个装有几个水果的金属线制果篮的特写视图。篮子看起来由细金属线制成，形状为圆形，带有一个抬高的手柄。

在篮子里，有几只黄色的香蕉和一对红苹果或可能是番茄。果实的鲜艳颜色与金属色调的丝网篮子形成了漂亮的对比。

照片中浅景深的应用使得前景的水果成为焦点，而向上延伸的篮子手柄略显模糊，背景中创造了一个令人愉悦的散景效果。

构图和光线赋予了这张图片一个干净、极简的美感，突显了展示在这个优雅的金属网篮中果实的自然美和新鲜感。

spring.ai.anthropic.api-key=YOUR_API_KEY
spring.ai.anthropic.chat.options.model=claude-3-opus-20240229
spring.ai.anthropic.chat.options.temperature=0.7
spring.ai.anthropic.chat.options.max-tokens=450

@RestController
public class ChatController {

private final AnthropicChatClient chatClient;

@Autowired
    public ChatController(AnthropicChatClient chatClient) {
        this.chatClient = chatClient;
    }

@GetMapping("/ai/generate")
public Map generate(@RequestParam(value = "message", defaultValue = "Tell me a joke") String message) {
    return Map.of("generation", chatClient.call(message));
}

@GetMapping("/ai/generateStream")
public Flux<ChatResponse> generateStream(@RequestParam(value = "message", defaultValue = "Tell me a joke") String message) {
    Prompt prompt = new Prompt(new UserMessage(message));
    return chatClient.stream(prompt);
}
}

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-anthropic</artifactId>
</dependency>

dependencies {
    implementation 'org.springframework.ai:spring-ai-anthropic'
}

var anthropicApi = new AnthropicApi(System.getenv("ANTHROPIC_API_KEY"));

var chatClient = new AnthropicChatClient(anthropicApi,
        AnthropicChatOptions.builder()
            .withModel("claude-3-opus-20240229")
            .withTemperature(0.4)
            .withMaxTokens(200)
        .build());

ChatResponse response = chatClient.call(
    new Prompt("Generate the names of 5 famous pirates."));

// 或使用流式响应
Flux<ChatResponse> response = chatClient.stream(
    new Prompt("生成5个著名海盗的名字。"));

AnthropicApi anthropicApi =
    new AnthropicApi(System.getenv("ANTHROPIC_API_KEY"));

RequestMessage chatCompletionMessage = new RequestMessage(
        List.of(new MediaContent("Tell me a Joke?")), Role.USER);

// Sync request
ResponseEntity<ChatCompletion> response = anthropicApi
    .chatCompletionEntity(new ChatCompletionRequest(AnthropicApi.ChatModel.CLAUDE_3_OPUS.getValue(),
            List.of(chatCompletionMessage), null, 100, 0.8f, false));

// Streaming request
Flux<StreamResponse> response = anthropicApi
    .chatCompletionStream(new ChatCompletionRequest(AnthropicApi.ChatModel.CLAUDE_3_OPUS.getValue(),
            List.of(chatCompletionMessage), null, 100, 0.8f, true));