feat: support glm-4.6 (#57)
Co-authored-by: haiyang679 <2496085873@qq.com>
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Tomsun28
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10 changed files with 45 additions and 27 deletions
10
README.md
10
README.md
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@ -30,7 +30,7 @@ Add the following dependency to your `pom.xml`:
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<dependency>
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<groupId>ai.z.openapi</groupId>
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<artifactId>zai-sdk</artifactId>
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<version>0.0.5</version>
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<version>0.0.6</version>
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</dependency>
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```
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@ -39,7 +39,7 @@ Add the following dependency to your `build.gradle` (for Groovy DSL):
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```groovy
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dependencies {
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implementation 'ai.z.openapi:zai-sdk:0.0.5'
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implementation 'ai.z.openapi:zai-sdk:0.0.6'
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}
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```
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@ -124,7 +124,7 @@ ZaiClient client = ZaiClient.builder()
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// Create chat request
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ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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@ -152,7 +152,7 @@ if (response.isSuccess()) {
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```java
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// Create streaming request
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ChatCompletionCreateParams streamRequest = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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@ -281,7 +281,7 @@ public class AIController {
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@PostMapping("/chat")
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public ResponseEntity<String> chat(@RequestBody ChatRequest request) {
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ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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10
README_CN.md
10
README_CN.md
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@ -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
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<dependency>
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<groupId>ai.z.openapi</groupId>
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<artifactId>zai-sdk</artifactId>
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<version>0.0.5</version>
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<version>0.0.6</version>
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</dependency>
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```
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@ -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
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```groovy
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dependencies {
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implementation 'ai.z.openapi:zai-sdk:0.0.5'
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implementation 'ai.z.openapi:zai-sdk:0.0.6'
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}
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```
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@ -123,7 +123,7 @@ ZaiClient client = ZaiClient.builder()
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// 创建对话请求
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ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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@ -151,7 +151,7 @@ if (response.isSuccess()) {
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```java
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// 创建流式请求
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ChatCompletionCreateParams streamRequest = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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@ -282,7 +282,7 @@ public class AIController {
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@PostMapping("/chat")
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public ResponseEntity<String> chat(@RequestBody ChatRequest request) {
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ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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@ -35,6 +35,21 @@ public final class Constants {
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// Text Generation Models
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// =============================================================================
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/**
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* GLM-4.6 model code
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*/
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public static final String ModelGLM4_6 = "glm-4.6";
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/**
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* GLM-4.6-air model code
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*/
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public static final String ModelGLM4_6_AIR = "glm-4.6-air";
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/**
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* GLM-4.6-flash model code
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*/
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public static final String ModelGLM4_6_FLASH = "glm-4.6-flash";
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/**
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* GLM-4.5 model code
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*/
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@ -40,7 +40,7 @@ public class HttpRequestInterceptor implements Interceptor {
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.newBuilder()
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.header("Authorization", "Bearer " + accessToken)
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.header("x-source-channel", source_channel)
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.header("Zai-SDK-Ver", "0.0.5")
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.header("Zai-SDK-Ver", "0.0.6")
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.header("Accept-Language", "en-US,en");
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if (Objects.nonNull(config.getCustomHeaders())) {
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for (Map.Entry<String, String> entry : config.getCustomHeaders().entrySet()) {
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@ -42,21 +42,19 @@ public class ChatCompletionCreateParams extends CommonRequest implements ClientR
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private Boolean stream;
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/**
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* Sampling temperature, controls output randomness, must be positive Range:
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* (0.0,1.0], cannot equal 0, default value is 0.95 Higher values make output more
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* random and creative; lower values make output more stable or deterministic It's
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* recommended to adjust either top_p or temperature parameter based on your use case,
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* but not both simultaneously
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* Sampling temperature, controls output randomness, must be positive Range: [0.0,1.0]
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* default value is 0.95 Higher values make output more random and creative; lower
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* values make output more stable or deterministic It's recommended to adjust either
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* top_p or temperature parameter based on your use case, but not both simultaneously
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*/
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private Float temperature;
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/**
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* Another method for temperature sampling, called nucleus sampling Range: (0.0, 1.0)
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* open interval, cannot equal 0 or 1, default value is 0.7 Model considers results
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* with top_p probability mass tokens For example: 0.1 means the model decoder only
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* considers tokens from the top 10% probability candidate set It's recommended to
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* adjust either top_p or temperature parameter based on your use case, but not both
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* simultaneously
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* Another method for temperature sampling, called nucleus sampling Range: (0.0, 1.0]
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* Model considers results with top_p probability mass tokens For example: 0.1 means
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* the model decoder only considers tokens from the top 10% probability candidate set
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* It's recommended to adjust either top_p or temperature parameter based on your use
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* case, but not both simultaneously
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*/
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@JsonProperty("top_p")
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private Float topP;
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@ -118,6 +116,11 @@ public class ChatCompletionCreateParams extends CommonRequest implements ClientR
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*/
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private ChatThinking thinking;
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/**
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* Whether to stream tool calls
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*/
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private Boolean tool_stream;
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/**
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* Forced watermark switch
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*/
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2
pom.xml
2
pom.xml
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@ -45,7 +45,7 @@
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</scm>
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<properties>
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<revision>0.0.5.1</revision>
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<revision>0.0.6</revision>
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<java.version>8</java.version>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
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@ -30,7 +30,7 @@ public class ChatAsyncCompletionExample {
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// Create chat request
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ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4_5)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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@ -25,7 +25,7 @@ public class ChatCompletionExample {
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// Create chat request
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ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4_5)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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@ -18,7 +18,7 @@ public class ChatCompletionStreamExample {
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// Create chat request
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ChatCompletionCreateParams streamRequest = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4_5)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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@ -22,7 +22,7 @@ public class ChatCompletionWithCustomHeadersExample {
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// Create chat request
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ChatCompletionCreateParams request = ChatCompletionCreateParams.builder()
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.model(Constants.ModelChatGLM4_5)
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.model("glm-4.6")
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.messages(Arrays.asList(
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ChatMessage.builder()
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.role(ChatMessageRole.USER.value())
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