Anthropic Claude 3 聊天

spring.ai.anthropic.api-key=<你的-anthropic-api-密钥>

// 从安全来源或环境变量中检索 API 密钥
String apiKey = System.getenv("ANTHROPIC_API_KEY");

ChatResponse response = chatModel.call(
    new Prompt(
        "生成 5 个著名海盗的名字。",
        AnthropicChatOptions.builder()
            .model("claude-3-7-sonnet-latest")
            .temperature(0.4)
        .build()
    ));

var imageData = new ClassPathResource("/multimodal.test.png");

var userMessage = new UserMessage("解释一下你在这张图片上看到了什么？",
        List.of(new Media(MimeTypeUtils.IMAGE_PNG, this.imageData)));

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

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

图片显示了一个装满水果的金属丝水果篮的特写视图。
...

var pdfData = new ClassPathResource("/spring-ai-reference-overview.pdf");

var userMessage = new UserMessage(
        "你是一位非常专业的文档摘要专家。请总结给定的文档。",
        List.of(new Media(new MimeType("application", "pdf"), pdfData)));

var response = this.chatModel.call(new Prompt(List.of(userMessage)));

spring.ai.anthropic.api-key=你的API密钥
spring.ai.anthropic.chat.options.model=claude-3-5-sonnet-latest
spring.ai.anthropic.chat.options.temperature=0.7
spring.ai.anthropic.chat.options.max-tokens=450

@RestController
public class ChatController {

    private final AnthropicChatModel chatModel;

    @Autowired
    public ChatController(AnthropicChatModel chatModel) {
        this.chatModel = chatModel;
    }

    @GetMapping("/ai/generate")
    public Map generate(@RequestParam(value = "message", defaultValue = "给我讲个笑话") String message) {
        return Map.of("generation", this.chatModel.call(message));
    }

    @GetMapping("/ai/generateStream")
	public Flux<ChatResponse> generateStream(@RequestParam(value = "message", defaultValue = "给我讲个笑话") String message) {
        Prompt prompt = new Prompt(new UserMessage(message));
        return this.chatModel.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 chatModel = new AnthropicChatModel(this.anthropicApi,
        AnthropicChatOptions.builder()
            .model("claude-3-opus-20240229")
            .temperature(0.4)
            .maxTokens(200)
        .build());

ChatResponse response = this.chatModel.call(
    new Prompt("生成 5 个著名海盗的名字。"));

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

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

AnthropicMessage chatCompletionMessage = new AnthropicMessage(
        List.of(new ContentBlock("给我讲个笑话？")), Role.USER);

// 同步请求
ResponseEntity<ChatCompletionResponse> response = this.anthropicApi
    .chatCompletionEntity(new ChatCompletionRequest(AnthropicApi.ChatModel.CLAUDE_3_OPUS.getValue(),
            List.of(this.chatCompletionMessage), null, 100, 0.8, false));

// 流式请求
Flux<StreamResponse> response = this.anthropicApi
    .chatCompletionStream(new ChatCompletionRequest(AnthropicApi.ChatModel.CLAUDE_3_OPUS.getValue(),
            List.of(this.chatCompletionMessage), null, 100, 0.8, true));