Quick Start

# Install latest version
pip install zai-sdk

# Or specify version
pip install zai-sdk==0.2.3

import zai
print(zai.__version__)

from zai import ZaiClient

# Initialize client
client = ZaiClient(api_key="YOUR_API_KEY")

# Create chat completion request
response = client.chat.completions.create(
    model="glm-5.2",
    messages=[
        {
            "role": "system",
            "content": "You are a helpful AI assistant."
        },
        {
            "role": "user",
            "content": "Hello, please introduce yourself."
        }
    ]
)

# Get response
print(response.choices[0].message.content)

<dependency>
    <groupId>ai.z.openapi</groupId>
    <artifactId>zai-sdk</artifactId>
    <version>0.3.5</version>
</dependency>

implementation 'ai.z.openapi:zai-sdk:0.3.5'

import ai.z.openapi.ZaiClient;
import ai.z.openapi.service.model.*;
import java.util.Arrays;

public class QuickStart {
    public static void main(String[] args) {
        // Initialize client
        ZaiClient client = ZaiClient.builder().ofZAI()
            .apiKey("YOUR_API_KEY")
            .build();

        // Create chat completion request
        ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
            .model("glm-5.2")
            .messages(Arrays.asList(
                ChatMessage.builder()
                    .role(ChatMessageRole.USER.value())
                    .content("Hello, who are you?")
                    .build()
            ))
            .stream(false)
            .build();

        // Send request
        ChatCompletionResponse response = client.chat().createChatCompletion(request);

        // Get response
        System.out.println(response.getData().getChoices().get(0).getMessage().getContent());
    }
}

# Install or upgrade to latest version
pip install --upgrade 'openai>=1.0'

python -c "import openai; print(openai.__version__)"

from openai import OpenAI

client = OpenAI(
    api_key="your-Z.AI-api-key",
    base_url="https://api.z.ai/api/paas/v4/"
)

completion = client.chat.completions.create(
    model="glm-5.2",
    messages=[
        {"role": "system", "content": "You are a smart and creative novelist"},
        {"role": "user", "content": "Please write a short fairy tale story as a fairy tale master"}
    ]
)

print(completion.choices[0].message.content)

# Install or upgrade to latest version
npm install openai

# Or using yarn
yarn add openai

import OpenAI from "openai";

const client = new OpenAI({
    apiKey: "your-Z.AI-api-key",
    baseURL: "https://api.z.ai/api/paas/v4/"
});

async function main() {
    const completion = await client.chat.completions.create({
        model: "glm-5.2",
        messages: [
            { role: "system", content: "You are a helpful AI assistant." },
            { role: "user", content: "Hello, please introduce yourself." }
        ]
    });

    console.log(completion.choices[0].message.content);
}

main();

<dependency>
    <groupId>com.openai</groupId>
    <artifactId>openai-java</artifactId>
    <version>2.20.1</version>
</dependency>

implementation 'com.openai:openai-java:2.20.1'

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.ChatCompletion;
import com.openai.models.chat.completions.ChatCompletionCreateParams;

public class QuickStart {
    public static void main(String[] args) {
        // Initialize client
        OpenAIClient client = OpenAIOkHttpClient.builder()
            .apiKey("your-Z.AI-api-key")
            .baseUrl("https://api.z.ai/api/paas/v4/")
            .build();

        // Create chat completion request
        ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
            .addSystemMessage("You are a helpful AI assistant.")
            .addUserMessage("Hello, please introduce yourself.")
            .model("glm-5.2")
            .build();

        // Send request and get response
        ChatCompletion chatCompletion = client.chat().completions().create(params);
        Object response = chatCompletion.choices().get(0).message().content();

        System.out.println(response);
    }
}