DeepSeek Chat

spring.ai.deepseek.api-key=<your-deepseek-api-key>

# 在 application.yml 中
spring:
  ai:
    deepseek:
      api-key: ${DEEPSEEK_API_KEY}

# 在你的环境或 .env 文件中
export DEEPSEEK_API_KEY=<your-deepseek-api-key>

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

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-starter-model-deepseek</artifactId>
</dependency>

dependencies {
    implementation 'org.springframework.ai:spring-ai-starter-model-deepseek'
}

ChatResponse response = chatModel.call(
    new Prompt(
        "Generate the names of 5 famous pirates. Please provide the JSON response without any code block markers such as ```json```.",
        DeepSeekChatOptions.builder()
            .withModel(DeepSeekApi.ChatModel.DEEPSEEK_CHAT.getValue())
            .withTemperature(0.8f)
        .build()
    ));

spring.ai.deepseek.api-key=YOUR_API_KEY
spring.ai.deepseek.chat.options.model=deepseek-chat
spring.ai.deepseek.chat.options.temperature=0.8

@RestController
public class ChatController {

    private final DeepSeekChatModel chatModel;

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

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

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

@RestController
public class CodeGenerateController {

    private final DeepSeekChatModel chatModel;

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

    @GetMapping("/ai/generatePythonCode")
    public String generate(@RequestParam(value = "message", defaultValue = "Please write quick sort code") String message) {
		UserMessage userMessage = new UserMessage(message);
		Message assistantMessage = DeepSeekAssistantMessage.prefixAssistantMessage("```python\\n");
		Prompt prompt = new Prompt(List.of(userMessage, assistantMessage), ChatOptions.builder().stopSequences(List.of("```")).build());
		ChatResponse response = chatModel.call(prompt);
		return response.getResult().getOutput().getText();
    }
}

public void deepSeekReasonerExample() {
    DeepSeekChatOptions promptOptions = DeepSeekChatOptions.builder()
            .model(DeepSeekApi.ChatModel.DEEPSEEK_REASONER.getValue())
            .build();
    Prompt prompt = new Prompt("9.11 and 9.8, which is greater?", promptOptions);
    ChatResponse response = chatModel.call(prompt);

    // 获取 deepseek-reasoner 生成的 CoT 内容，仅在使用 deepseek-reasoner 模型时可用
    DeepSeekAssistantMessage deepSeekAssistantMessage = (DeepSeekAssistantMessage) response.getResult().getOutput();
    String reasoningContent = deepSeekAssistantMessage.getReasoningContent();
    String text = deepSeekAssistantMessage.getText();
}

public String deepSeekReasonerMultiRoundExample() {
    List<Message> messages = new ArrayList<>();
    messages.add(new UserMessage("9.11 and 9.8, which is greater?"));
    DeepSeekChatOptions promptOptions = DeepSeekChatOptions.builder()
            .model(DeepSeekApi.ChatModel.DEEPSEEK_REASONER.getValue())
            .build();

    Prompt prompt = new Prompt(messages, promptOptions);
    ChatResponse response = chatModel.call(prompt);

    DeepSeekAssistantMessage deepSeekAssistantMessage = (DeepSeekAssistantMessage) response.getResult().getOutput();
    String reasoningContent = deepSeekAssistantMessage.getReasoningContent();
    String text = deepSeekAssistantMessage.getText();

    messages.add(new AssistantMessage(Objects.requireNonNull(text)));
    messages.add(new UserMessage("How many Rs are there in the word 'strawberry'?"));
    Prompt prompt2 = new Prompt(messages, promptOptions);
    ChatResponse response2 = chatModel.call(prompt2);

    DeepSeekAssistantMessage deepSeekAssistantMessage2 = (DeepSeekAssistantMessage) response2.getResult().getOutput();
    String reasoningContent2 = deepSeekAssistantMessage2.getReasoningContent();
    return deepSeekAssistantMessage2.getText();
}

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

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

var deepSeekApi = new DeepSeekApi(System.getenv("DEEPSEEK_API_KEY"));

var chatModel = new DeepSeekChatModel(deepSeekApi, DeepSeekChatOptions.builder()
                .withModel(DeepSeekApi.ChatModel.DEEPSEEK_CHAT.getValue())
                .withTemperature(0.4f)
                .withMaxTokens(200)
                .build());

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

// 或者使用流式响应
Flux<ChatResponse> streamResponse = chatModel.stream(
    new Prompt("Generate the names of 5 famous pirates."));