feat: support glm-4.6

README.md

@@ -30,7 +30,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
     <groupId>ai.z.openapi</groupId>
     <artifactId>zai-sdk</artifactId>
-    <version>0.0.5</version>
+    <version>0.0.6</version>
 </dependency>
 ```
 
@@ -39,7 +39,7 @@ Add the following dependency to your `build.gradle` (for Groovy DSL):
 
 ```groovy
 dependencies {
-    implementation 'ai.z.openapi:zai-sdk:0.0.5'
+    implementation 'ai.z.openapi:zai-sdk:0.0.6'
 }
 ```
 
@@ -124,7 +124,7 @@ ZaiClient client = ZaiClient.builder()
 
 // Create chat request
 ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
-    .model(Constants.ModelChatGLM4)
+    .model("glm-4.6")
     .messages(Arrays.asList(
         ChatMessage.builder()
             .role(ChatMessageRole.USER.value())
@@ -152,7 +152,7 @@ if (response.isSuccess()) {
 ```java
 // Create streaming request
 ChatCompletionCreateParams streamRequest = ChatCompletionCreateParams.builder()
-    .model(Constants.ModelChatGLM4)
+    .model("glm-4.6")
     .messages(Arrays.asList(
         ChatMessage.builder()
             .role(ChatMessageRole.USER.value())
@@ -281,7 +281,7 @@ public class AIController {
     @PostMapping("/chat")
     public ResponseEntity<String> chat(@RequestBody ChatRequest request) {
         ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
-            .model(Constants.ModelChatGLM4)
+            .model("glm-4.6")
             .messages(Arrays.asList(
                 ChatMessage.builder()
                     .role(ChatMessageRole.USER.value())

README_CN.md

@@ -30,7 +30,7 @@ Z.ai AI 平台官方 Java SDK，提供统一接口访问强大的AI能力，包
 <dependency>
     <groupId>ai.z.openapi</groupId>
     <artifactId>zai-sdk</artifactId>
-    <version>0.0.5</version>
+    <version>0.0.6</version>
 </dependency>
 ```
 
@@ -39,7 +39,7 @@ Z.ai AI 平台官方 Java SDK，提供统一接口访问强大的AI能力，包
 
 ```groovy
 dependencies {
-    implementation 'ai.z.openapi:zai-sdk:0.0.5'
+    implementation 'ai.z.openapi:zai-sdk:0.0.6'
 }
 ```
 
@@ -123,7 +123,7 @@ ZaiClient client = ZaiClient.builder()
 
 // 创建对话请求
 ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
-    .model(Constants.ModelChatGLM4)
+    .model("glm-4.6")
     .messages(Arrays.asList(
         ChatMessage.builder()
             .role(ChatMessageRole.USER.value())
@@ -151,7 +151,7 @@ if (response.isSuccess()) {
 ```java
 // 创建流式请求
 ChatCompletionCreateParams streamRequest = ChatCompletionCreateParams.builder()
-    .model(Constants.ModelChatGLM4)
+    .model("glm-4.6")
     .messages(Arrays.asList(
         ChatMessage.builder()
             .role(ChatMessageRole.USER.value())
@@ -282,7 +282,7 @@ public class AIController {
     @PostMapping("/chat")
     public ResponseEntity<String> chat(@RequestBody ChatRequest request) {
         ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
-            .model(Constants.ModelChatGLM4)
+            .model("glm-4.6")
             .messages(Arrays.asList(
                 ChatMessage.builder()
                     .role(ChatMessageRole.USER.value())

core/src/main/java/ai/z/openapi/core/Constants.java

@@ -35,6 +35,21 @@ private Constants() {
 	// Text Generation Models
 	// =============================================================================
 
+	/**
+	 * GLM-4.6 model code
+	 */
+	public static final String ModelGLM4_6 = "glm-4.6";
+
+	/**
+	 * GLM-4.6-air model code
+	 */
+	public static final String ModelGLM4_6_AIR = "glm-4.6-air";
+
+	/**
+	 * GLM-4.6-flash model code
+	 */
+	public static final String ModelGLM4_6_FLASH = "glm-4.6-flash";
+
 	/**
 	 * GLM-4.5 model code
 	 */

core/src/main/java/ai/z/openapi/core/token/HttpRequestInterceptor.java

@@ -40,7 +40,7 @@ public Response intercept(Chain chain) throws IOException {
 			.newBuilder()
 			.header("Authorization", "Bearer " + accessToken)
 			.header("x-source-channel", source_channel)
-			.header("Zai-SDK-Ver", "0.0.5")
+			.header("Zai-SDK-Ver", "0.0.6")
 			.header("Accept-Language", "en-US,en");
 		if (Objects.nonNull(config.getCustomHeaders())) {
 			for (Map.Entry<String, String> entry : config.getCustomHeaders().entrySet()) {

core/src/main/java/ai/z/openapi/service/model/ChatCompletionCreateParams.java

@@ -42,21 +42,19 @@ public class ChatCompletionCreateParams extends CommonRequest implements ClientR
 	private Boolean stream;
 
 	/**
-	 * Sampling temperature, controls output randomness, must be positive Range:
-	 * (0.0,1.0], cannot equal 0, default value is 0.95 Higher values make output more
-	 * random and creative; lower values make output more stable or deterministic It's
-	 * recommended to adjust either top_p or temperature parameter based on your use case,
-	 * but not both simultaneously
+	 * Sampling temperature, controls output randomness, must be positive Range: [0.0,1.0]
+	 * default value is 0.95 Higher values make output more random and creative; lower
+	 * values make output more stable or deterministic It's recommended to adjust either
+	 * top_p or temperature parameter based on your use case, but not both simultaneously
 	 */
 	private Float temperature;
 
 	/**
-	 * Another method for temperature sampling, called nucleus sampling Range: (0.0, 1.0)
-	 * open interval, cannot equal 0 or 1, default value is 0.7 Model considers results
-	 * with top_p probability mass tokens For example: 0.1 means the model decoder only
-	 * considers tokens from the top 10% probability candidate set It's recommended to
-	 * adjust either top_p or temperature parameter based on your use case, but not both
-	 * simultaneously
+	 * Another method for temperature sampling, called nucleus sampling Range: (0.0, 1.0]
+	 * Model considers results with top_p probability mass tokens For example: 0.1 means
+	 * the model decoder only considers tokens from the top 10% probability candidate set
+	 * It's recommended to adjust either top_p or temperature parameter based on your use
+	 * case, but not both simultaneously
 	 */
 	@JsonProperty("top_p")
 	private Float topP;
@@ -118,6 +116,11 @@ public class ChatCompletionCreateParams extends CommonRequest implements ClientR
 	 */
 	private ChatThinking thinking;
 
+	/**
+	 * Whether to stream tool calls
+	 */
+	private Boolean tool_stream;
+
 	/**
 	 * Forced watermark switch
 	 */

pom.xml

@@ -45,7 +45,7 @@
     </scm>
 
     <properties>
-        <revision>0.0.5.1</revision>
+        <revision>0.0.6</revision>
         <java.version>8</java.version>
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
         <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>

samples/src/main/ai.z.openapi.samples/ChatAsyncCompletionExample.java

@@ -30,7 +30,7 @@ public static void main(String[] args) {
 
         // Create chat request
         ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
-            .model(Constants.ModelChatGLM4_5)
+            .model("glm-4.6")
             .messages(Arrays.asList(
                 ChatMessage.builder()
                     .role(ChatMessageRole.USER.value())

samples/src/main/ai.z.openapi.samples/ChatCompletionExample.java

@@ -25,7 +25,7 @@ public static void main(String[] args) {
 
         // Create chat request
         ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
-            .model(Constants.ModelChatGLM4_5)
+            .model("glm-4.6")
             .messages(Arrays.asList(
                 ChatMessage.builder()
                     .role(ChatMessageRole.USER.value())

samples/src/main/ai.z.openapi.samples/ChatCompletionStreamExample.java

@@ -18,7 +18,7 @@ public static void main(String[] args) {
 
         // Create chat request
         ChatCompletionCreateParams streamRequest = ChatCompletionCreateParams.builder()
-            .model(Constants.ModelChatGLM4_5)
+            .model("glm-4.6")
             .messages(Arrays.asList(
                 ChatMessage.builder()
                     .role(ChatMessageRole.USER.value())

samples/src/main/ai.z.openapi.samples/ChatCompletionWithCustomHeadersExample.java

@@ -22,7 +22,7 @@ public static void main(String[] args) {
 
         // Create chat request
         ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
-                .model(Constants.ModelChatGLM4_5)
+                .model("glm-4.6")
                 .messages(Arrays.asList(
                         ChatMessage.builder()
                                 .role(ChatMessageRole.USER.value())