feat: support reasoning_content (#31)

Author: tomsun28

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

@@ -18,6 +18,9 @@ public class ChatMessage {
 
 	private Object content;
 
+	@JsonProperty("reasoning_content")
+	private String reasoningContent;
+
 	private Audio audio;
 
 	private String name;

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

@@ -14,9 +14,11 @@
 public class ChatThinking {
 
 	/**
-	 * Model thinking type Only support by GLM-4.5 and above models. This parameter is
-	 * used to control whether the model enable the chain of thought. value: enabled,
-	 * disabled
+	 * Model thinking type Only support by GLM-4.5 and above models.<br>
+	 * Value: enabled, disabled <br>
+	 * Control whether the model enable the chain of thought.<br>
+	 * When enabled, GLM-4.5 will automatically determine whether to think, while GLM-4.5V
+	 * will think compulsorily.
 	 */
 	private String type;
 

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

@@ -21,6 +21,9 @@ public class Choice {
 	@JsonProperty("index")
 	private Long index;
 
+	/**
+	 * Reasoning content, supports by GLM-4.5 series.
+	 */
 	@JsonProperty("message")
 	private ChatMessage message;
 

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

@@ -18,6 +18,9 @@ public class Delta {
 
 	private String content;
 
+	@JsonProperty("reasoning_content")
+	private String reasoningContent;
+
 	private Audio audio;
 
 	@JsonProperty("tool_calls")

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

@@ -25,24 +25,25 @@ public static void main(String[] args) {
 
         // Create chat request
         ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
-                .model(Constants.ModelChatGLM4_5)
-                .messages(Arrays.asList(
-                        ChatMessage.builder()
-                                .role(ChatMessageRole.USER.value())
-                                .content("Hello, how are you?")
-                                .build()
-                ))
-                .stream(false)
-                .temperature(0.7f)
-                .maxTokens(1024)
-                .build();
+            .model(Constants.ModelChatGLM4_5)
+            .messages(Arrays.asList(
+                ChatMessage.builder()
+                    .role(ChatMessageRole.USER.value())
+                    .content("Hello, how to learn english?")
+                    .build()
+            ))
+            .stream(false)
+            .thinking(ChatThinking.builder().type("enabled").build())
+            .temperature(0.7f)
+            .maxTokens(1024)
+            .build();
 
         try {
             // Execute request
             ChatCompletionResponse response = client.chat().createChatCompletion(request);
 
             if (response.isSuccess()) {
-                Object content = response.getData().getChoices().get(0).getMessage().getContent();
+                Object content = response.getData().getChoices().get(0).getMessage();
                 System.out.println("Response: " + content);
             } else {
                 System.err.println("Error: " + response.getMsg());

…penapi.samples/StreamingChatExample.java …samples/ChatCompletionStreamExample.javasamples/src/main/ai.z.openapi.samples/StreamingChatExample.java renamed to samples/src/main/ai.z.openapi.samples/ChatCompletionStreamExample.java samples/src/main/ai.z.openapi.samples/StreamingChatExample.java renamed to samples/src/main/ai.z.openapi.samples/ChatCompletionStreamExample.java

@@ -9,7 +9,7 @@
  * Streaming Chat Example
  * Demonstrates how to use ZaiClient for streaming chat conversations
  */
-public class StreamingChatExample {
+public class ChatCompletionStreamExample {
 
     public static void main(String[] args) {
         // Create client
@@ -25,6 +25,7 @@ public static void main(String[] args) {
                     .content("Tell me a story")
                     .build()
             ))
+            .thinking(ChatThinking.builder().type("enabled").build())
             .stream(true) // Enable streaming response
             .build();
 
@@ -39,11 +40,9 @@ public static void main(String[] args) {
                         // Process each streaming response chunk
                         if (data.getChoices() != null && !data.getChoices().isEmpty()) {
                             // Get content of current chunk
-                            String content = data.getChoices().get(0).getDelta().getContent();
-                            if (content != null) {
-                                // Print current chunk content
-                                System.out.print(content);
-                            }
+                            Delta delta = data.getChoices().get(0).getDelta();
+                            // Print current chunk
+                            System.out.print(delta + "\n");
                         }
                     },
                     error -> System.err.println("\nStream error: " + error.getMessage()),