智谱 AI 聊天

spring.ai.zhipuai.api-key=<你的智谱AI API密钥>

# 在 application.yml 中
spring:
  ai:
    zhipuai:
      api-key: ${ZHIPUAI_API_KEY}

# 在你的环境或 .env 文件中
export ZHIPUAI_API_KEY=<你的智谱AI API密钥>

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

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

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

ChatResponse response = chatModel.call(
    new Prompt(
        "生成 5 个著名海盗的名字。",
        ZhiPuAiChatOptions.builder()
            .model(ZhiPuAiApi.ChatModel.GLM_3_Turbo.getValue())
            .temperature(0.5)
        .build()
    ));

spring.ai.zhipuai.api-key=你的API密钥
spring.ai.zhipuai.chat.options.model=glm-4-air
spring.ai.zhipuai.chat.options.temperature=0.7

@RestController
public class ChatController {

    private final ZhiPuAiChatModel chatModel;

    @Autowired
    public ChatController(ZhiPuAiChatModel 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) {
        var prompt = new Prompt(new UserMessage(message));
        return this.chatModel.stream(prompt);
    }
}

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

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

var zhiPuAiApi = new ZhiPuAiApi(System.getenv("ZHIPU_AI_API_KEY"));

var chatModel = new ZhiPuAiChatModel(this.zhiPuAiApi, ZhiPuAiChatOptions.builder()
                .model(ZhiPuAiApi.ChatModel.GLM_3_Turbo.getValue())
                .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> streamResponse = this.chatModel.stream(
    new Prompt("生成 5 个著名海盗的名字。"));

ZhiPuAiApi zhiPuAiApi =
    new ZhiPuAiApi(System.getenv("ZHIPU_AI_API_KEY"));

ChatCompletionMessage chatCompletionMessage =
    new ChatCompletionMessage("你好世界", Role.USER);

// 同步请求
ResponseEntity<ChatCompletion> response = this.zhiPuAiApi.chatCompletionEntity(
    new ChatCompletionRequest(List.of(this.chatCompletionMessage), ZhiPuAiApi.ChatModel.GLM_3_Turbo.getValue(), 0.7, false));

// 流式请求
Flux<ChatCompletionChunk> streamResponse = this.zhiPuAiApi.chatCompletionStream(
        new ChatCompletionRequest(List.of(this.chatCompletionMessage), ZhiPuAiApi.ChatModel.GLM_3_Turbo.getValue(), 0.7, true));