z-ai-sdk-java/samples/src/main/ai.z.openapi.samples/GLM45VExample.java

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2.2 KiB
Java

package ai.z.openapi.samples;
import ai.z.openapi.ZhipuAiClient;
import ai.z.openapi.core.Constants;
import ai.z.openapi.service.model.ChatCompletionCreateParams;
import ai.z.openapi.service.model.ChatCompletionResponse;
import ai.z.openapi.service.model.ChatMessage;
import ai.z.openapi.service.model.ChatMessageRole;
import ai.z.openapi.service.model.ChatThinking;
import ai.z.openapi.service.model.ImageUrl;
import ai.z.openapi.service.model.MessageContent;
import java.io.IOException;
import java.util.Arrays;
/**
* Streaming Chat Example
* Demonstrates how to use ZaiClient for streaming chat conversations
*/
public class GLM45VExample {
public static void main(String[] args) throws IOException {
// Create client
// for Z.ai use the `ZaiClient`, for Zhipu AI use the ZhipuAiClient
ZhipuAiClient client = ZhipuAiClient.builder().build();
// Create chat request
ChatCompletionCreateParams streamRequest = ChatCompletionCreateParams.builder()
.model(Constants.ModelChatGLM4_5V)
.messages(Arrays.asList(
ChatMessage.builder()
.role(ChatMessageRole.USER.value())
.content(Arrays.asList(
MessageContent.builder()
.type("image_url")
.imageUrl(ImageUrl.builder()
.url("https://cdn.bigmodel.cn/static/logo/register.png")
.build())
.build(),
MessageContent.builder()
.type("text")
.text("What are the pic talk about?")
.build()
))
.build()
))
.thinking(ChatThinking.builder().type("enabled").build())
.build();
ChatCompletionResponse response = client.chat().createChatCompletion(streamRequest);
if (response.isSuccess()) {
Object content = response.getData().getChoices().get(0).getMessage();
System.out.println("Response: " + content);
} else {
System.err.println("Error: " + response.getMsg());
}
client.chat();
}
}