update doc

README.md

@@ -2,7 +2,7 @@
 
 [English](./README.md) | [中文](./README_zh_CN.md)
 
-Aliyun Dashscope Client for Spring AI
+Aliyun Dashscope Model for Spring AI
 
 [![build](https://github.com/JavaAIDev/spring-ai-dashscope-client/actions/workflows/build.yaml/badge.svg)](https://github.com/JavaAIDev/spring-ai-dashscope-client/actions/workflows/build.yaml)
 
@@ -28,15 +28,15 @@ Add [Maven dependency](https://central.sonatype.com/artifact/io.github.alexcheng
 Usage:
 
 ```java
-var client = DashscopeChatClient.createDefault();
-var response = client.call("hello");
+var model = DashscopeChatModel.createDefault();
+var response = model.call("hello");
 ```
 
 ## Features
 
-* `ChatClient`
-* `StreamingChatClient`
-* `EmbeddingClient`
+* `ChatModel`
+* `StreamingChatModel`
+* `EmbeddingModel`
 * Function calling
 * Multimodal input with images and audios
 
@@ -53,7 +53,7 @@ Add Spring Boot starter:
 </dependency>
 ```
 
-This will create a `ChatClient` bean and an `EmbeddingClient` bean.
+This will create a `ChatModel` bean and an `EmbeddingModel` bean.
 Default `ChatOptions` can be configured
 with the configuration key `spring.ai.dashscope.chat.options`.
 Default `EmbeddingOptions` can be configured with the configuration

README_zh_CN.md

@@ -2,7 +2,7 @@
 
 [English](./README.md) | [中文](./README_zh_CN.md)
 
-阿里云模型服务灵积（Dashscope）Spring AI 集成客户端
+阿里云模型服务灵积（Dashscope）Spring AI 集成模型
 
 [![build](https://github.com/JavaAIDev/spring-ai-dashscope-client/actions/workflows/build.yaml/badge.svg)](https://github.com/JavaAIDev/spring-ai-dashscope-client/actions/workflows/build.yaml)
 
@@ -27,15 +27,15 @@
 使用：
 
 ```java
-var client = DashscopeChatClient.createDefault();
-var response = client.call("hello");
+var model = DashscopeChatModel.createDefault();
+var response = model.call("hello");
 ```
 
 ## 功能
 
-* `ChatClient`
-* `StreamingChatClient`
-* `EmbeddingClient`
+* `ChatModel`
+* `StreamingChatModel`
+* `EmbeddingModel`
 * 方法调用
 * 多模态输入，图片和音频
 
@@ -52,7 +52,7 @@ var response = client.call("hello");
 </dependency>
 ```
 
-会自动创建一个 `ChatClient` 类型的 Bean 和一个 `EmbeddingClient` 类型的
+会自动创建一个 `ChatModel` 类型的 Bean 和一个 `EmbeddingModel` 类型的
 Bean。默认的 `ChatOptions`
 可以通过配置项 `spring.ai.dashscope.chat.options`
 来配置。默认的 `EmbeddingOptions`

client/src/test/java/io/github/alexcheng1982/springai/dashscope/DashscopeChatModelTest.java

@@ -21,21 +21,21 @@ class DashscopeChatModelTest {
 
   @Test
   void smokeTest() {
-    var client = DashscopeChatModel.createDefault();
-    var response = client.call("hello");
+    var model = DashscopeChatModel.createDefault();
+    var response = model.call("hello");
     assertNotNull(response);
   }
 
   @Test
   void streamSmokeTest() {
-    var client = DashscopeChatModel.createDefault();
-    var response = client.stream("如何做西红柿炖牛腩？");
+    var model = DashscopeChatModel.createDefault();
+    var response = model.stream("如何做西红柿炖牛腩？");
     response.toIterable().forEach(System.out::println);
   }
 
   @Test
   void multiModalImageSmokeTest() throws MalformedURLException {
-    var client = DashscopeChatModel.createDefault();
+    var model = DashscopeChatModel.createDefault();
     var prompt = new Prompt(new UserMessage("这是什么?",
         List.of(
             new Media(IMAGE_JPEG,
@@ -45,13 +45,13 @@ void multiModalImageSmokeTest() throws MalformedURLException {
         DashscopeChatOptions.builder()
             .withModel(DashscopeModelName.QWEN_VL_PLUS)
             .build());
-    var response = client.call(prompt);
+    var response = model.call(prompt);
     System.out.println(response.getResult().getOutput().getContent());
   }
 
   @Test
   void multiModalImageSmokeTest2() throws MalformedURLException {
-    var client = DashscopeChatModel.createDefault();
+    var model = DashscopeChatModel.createDefault();
     var prompt = new Prompt(new UserMessage("用图片中的这些食材，做一道菜",
         List.of(
             new Media(IMAGE_JPEG,
@@ -61,13 +61,13 @@ void multiModalImageSmokeTest2() throws MalformedURLException {
         DashscopeChatOptions.builder()
             .withModel(DashscopeModelName.QWEN_VL_PLUS)
             .build());
-    var response = client.call(prompt);
+    var response = model.call(prompt);
     System.out.println(response.getResult().getOutput().getContent());
   }
 
   @Test
   void multiModalAudioSmokeTest() throws MalformedURLException {
-    var client = DashscopeChatModel.createDefault();
+    var model = DashscopeChatModel.createDefault();
     var prompt = new Prompt(new UserMessage("这段音频在说什么?",
         List.of(
             new Media(new MimeType("audio", "wav"),
@@ -78,7 +78,7 @@ void multiModalAudioSmokeTest() throws MalformedURLException {
             .withModel(DashscopeModelName.QWEN_AUDIO_TURBO)
             .withMaxTokens(100)
             .build());
-    var response = client.call(prompt);
+    var response = model.call(prompt);
     System.out.println(response.getResult().getOutput().getContent());
   }
 }

client/src/test/java/io/github/alexcheng1982/springai/dashscope/DashscopeEmbeddingModelTest.java

@@ -10,8 +10,8 @@ public class DashscopeEmbeddingModelTest {
 
   @Test
   void smokeTest() {
-    var client = new DashscopeEmbeddingModel();
-    var result = client.embed("hello");
+    var model = new DashscopeEmbeddingModel();
+    var result = model.embed("hello");
     assertNotNull(result);
     assertFalse(result.isEmpty());
   }

client/src/test/java/io/github/alexcheng1982/springai/dashscope/FunctionExampleMain.java

@@ -84,8 +84,8 @@ String runFunction() {
             .withName("add")
             .withDescription("add two numbers")
             .build());
-    var client = new DashscopeChatModel(new DashscopeApi(), context);
-    var response = client.call(new Prompt("add 100 to 200", options));
+    var model = new DashscopeChatModel(new DashscopeApi(), context);
+    var response = model.call(new Prompt("add 100 to 200", options));
     return response.getResult().getOutput().getContent();
   }