GLM-5.2 is a flagship model built for the era of long-horizon tasks. With truly usable 1M-token context, it has been tested to handle project-scale engineering context, delivering more stable long-task execution, more reliable adherence to engineering standards, and higher success rates in development scenarios. A single task can complete the full development workflow—from requirements to deployable products across multiple platforms.
Capability
Usage
Introducing GLM-5.2
Resources
- API Documentation: Learn how to call the API.
Quick Start
The following is a full sample code to help you onboard GLM-5.2 with ease.
cURL
Official Python SDK
Official Java SDK
OpenAI Python SDK
Basic Call
curl -X POST "https://api.z.ai/api/paas/v4/chat/completions" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer your-api-key" \
-d '{
"model": "glm-5.2",
"messages": [
{
"role": "system",
"content": "You are a senior full-stack software engineer, proficient in frontend development, backend architecture design, and modern web technology stacks."
},
{
"role": "user",
"content": "Design and build a personal blog website for me, including a homepage, article list page, and article detail page, using React + Node.js technology stack."
}
],
"thinking": {
"type": "enabled"
},
"reasoning_effort": "max",
"max_tokens": 4096,
"temperature": 1.0
}'
Streaming Call
curl -X POST "https://api.z.ai/api/paas/v4/chat/completions" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer your-api-key" \
-d '{
"model": "glm-5.2",
"messages": [
{
"role": "system",
"content": "You are a senior full-stack software engineer, proficient in frontend development, backend architecture design, and modern web technology stacks."
},
{
"role": "user",
"content": "Design and build a personal blog website for me, including a homepage, article list page, and article detail page, using React + Node.js technology stack."
}
],
"thinking": {
"type": "enabled"
},
"reasoning_effort": "max",
"stream": true,
"max_tokens": 4096,
"temperature": 1.0
}'
Install SDK
# Install latest version
pip install zai-sdk
# Or specify version
pip install zai-sdk==0.2.3
Verify Installation
import zai
print(zai.__version__)
Basic Call
from zai import ZaiClient
client = ZaiClient(api_key="your-api-key") # Your API Key
response = client.chat.completions.create(
model="glm-5.2",
messages=[
{
"role": "system",
"content": "You are a senior full-stack software engineer, proficient in frontend development, backend architecture design, and modern web technology stacks.",
},
{
"role": "user",
"content": "Design and build a personal blog website for me, including a homepage, article list page, and article detail page, using React + Node.js technology stack.",
},
],
thinking={
"type": "enabled",
},
reasoning_effort="max",
max_tokens=4096,
temperature=1.0,
)
# Get complete response
print(response.choices[0].message)
Streaming Call
from zai import ZaiClient
client = ZaiClient(api_key="your-api-key") # Your API Key
response = client.chat.completions.create(
model="glm-5.2",
messages=[
{
"role": "system",
"content": "You are a senior full-stack software engineer, proficient in frontend development, backend architecture design, and modern web technology stacks.",
},
{
"role": "user",
"content": "Design and build a personal blog website for me, including a homepage, article list page, and article detail page, using React + Node.js technology stack.",
},
],
thinking={
"type": "enabled", # Optional: "disabled" or "enabled", default is "enabled"
},
reasoning_effort="max",
stream=True,
max_tokens=4096,
temperature=0.6,
)
# Stream response
for chunk in response:
if chunk.choices[0].delta.reasoning_content:
print(chunk.choices[0].delta.reasoning_content, end="", flush=True)
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)
Install SDKMaven
<dependency>
<groupId>ai.z.openapi</groupId>
<artifactId>zai-sdk</artifactId>
<version>0.3.5</version>
</dependency>
Gradle (Groovy)
implementation 'ai.z.openapi:zai-sdk:0.3.5'
Basic Call
import ai.z.openapi.ZaiClient;
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 java.util.Arrays;
public class BasicChat {
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.SYSTEM.value())
.content(
"You are a senior full-stack software engineer, proficient in frontend development, backend architecture design, and modern web technology stacks.")
.build(),
ChatMessage.builder()
.role(ChatMessageRole.USER.value())
.content(
"Design and build a personal blog website for me, including a homepage, article list page, and article detail page, using React + Node.js technology stack.")
.build()))
.thinking(ChatThinking.builder().type("enabled").build())
.reasoningEffort("max")
.maxTokens(4096)
.temperature(1.0f)
.build();
// Send request
ChatCompletionResponse response = client.chat().createChatCompletion(request);
// Get response
if (response.isSuccess()) {
Object reply = response.getData().getChoices().get(0).getMessage();
System.out.println("AI Response: " + reply);
} else {
System.err.println("Error: " + response.getMsg());
}
}
}
Streaming Call
import ai.z.openapi.ZaiClient;
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.Delta;
import java.util.Arrays;
public class StreamingChat {
public static void main(String[] args) {
// Initialize client
ZaiClient client = ZaiClient.builder().ofZAI().apiKey("your-api-key").build();
// Create streaming chat completion request
ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
.model("glm-5.2")
.messages(
Arrays.asList(
ChatMessage.builder()
.role(ChatMessageRole.SYSTEM.value())
.content(
"You are a senior full-stack software engineer, proficient in frontend development, backend architecture design, and modern web technology stacks.")
.build(),
ChatMessage.builder()
.role(ChatMessageRole.USER.value())
.content(
"Design and build a personal blog website for me, including a homepage, article list page, and article detail page, using React + Node.js technology stack.")
.build()))
.thinking(ChatThinking.builder().type("enabled").build())
.reasoningEffort("max")
.stream(true) // Enable streaming output
.maxTokens(4096)
.temperature(1.0f)
.build();
ChatCompletionResponse response = client.chat().createChatCompletion(request);
if (response.isSuccess()) {
response.getFlowable()
.subscribe(
// Process streaming message data
data -> {
if (data.getChoices() != null && !data.getChoices().isEmpty()) {
Delta delta = data.getChoices().get(0).getDelta();
System.out.print(delta + "\n");
}
},
// Process streaming response error
error -> System.err.println("\nStream error: " + error.getMessage()),
// Process streaming response completion event
() -> System.out.println("\nStreaming response completed"));
} else {
System.err.println("Error: " + response.getMsg());
}
}
}
Install SDK
# Install or upgrade to latest version
pip install --upgrade 'openai>=1.0'
Verify Installation
python -c "import openai; print(openai.__version__)"
Usage Example
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 senior full-stack software engineer, proficient in frontend development, backend architecture design, and modern web technology stacks."},
{
"role": "user",
"content": "Design and build a personal blog website for me, including a homepage, article list page, and article detail page, using React + Node.js technology stack.",
},
],
)
print(completion.choices[0].message.content)