Bump dashscope-sdk-java from 2.13.0 to 2.14.4 (langchain4j#1189)

## Issue
<!-- Please paste the link to the issue this PR is addressing. For
example: langchain4j#1012 -->


## Change
<!-- Please describe the changes you made. -->


## General checklist
<!-- Please double-check the following points and mark them like this:
[X] -->
- [x] There are no breaking changes
- [x] I have added unit and integration tests for my change
- [x] I have manually run all the unit and integration tests in the
module I have added/changed, and they are all green
- [ ] I have manually run all the unit and integration tests in the
[core](https://github.com/langchain4j/langchain4j/tree/main/langchain4j-core)
and
[main](https://github.com/langchain4j/langchain4j/tree/main/langchain4j)
modules, and they are all green
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until the PR is reviewed and approved. -->
- [ ] I have added/updated the
[documentation](https://github.com/langchain4j/langchain4j/tree/main/docs/docs)
- [ ] I have added an example in the [examples
repo](https://github.com/langchain4j/langchain4j-examples) (only for
"big" features)


## Checklist for adding new model integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [ ] I have added my new module in the
[BOM](https://github.com/langchain4j/langchain4j/blob/main/langchain4j-bom/pom.xml)


## Checklist for adding new embedding store integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [ ] I have added a `{NameOfIntegration}EmbeddingStoreIT` that extends
from either `EmbeddingStoreIT` or `EmbeddingStoreWithFilteringIT`
- [ ] I have added my new module in the
[BOM](https://github.com/langchain4j/langchain4j/blob/main/langchain4j-bom/pom.xml)


## Checklist for changing existing embedding store integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [ ] I have manually verified that the
`{NameOfIntegration}EmbeddingStore` works correctly with the data
persisted using the latest released version of LangChain4j

langchain4j-dashscope/pom.xml

@@ -24,7 +24,7 @@
         <dependency>
             <groupId>com.alibaba</groupId>
             <artifactId>dashscope-sdk-java</artifactId>
-            <version>2.13.0</version>
+            <version>2.14.4</version>
         </dependency>
 
         <dependency>

langchain4j-dashscope/src/main/java/dev/langchain4j/model/dashscope/QwenChatModel.java

@@ -1,8 +1,8 @@
 package dev.langchain4j.model.dashscope;
 
 import com.alibaba.dashscope.aigc.generation.Generation;
+import com.alibaba.dashscope.aigc.generation.GenerationParam;
 import com.alibaba.dashscope.aigc.generation.GenerationResult;
-import com.alibaba.dashscope.aigc.generation.models.QwenParam;
 import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
 import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
 import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
@@ -24,6 +24,10 @@
 import static dev.langchain4j.model.dashscope.QwenHelper.*;
 import static dev.langchain4j.spi.ServiceHelper.loadFactories;
 
+/**
+ * Represents a Qwen language model with a chat completion interface.
+ * More details are available <a href="https://help.aliyun.com/zh/dashscope/developer-reference/api-details">here</a>.
+ */
 public class QwenChatModel implements ChatLanguageModel {
     private final String apiKey;
     private final String modelName;
@@ -85,7 +89,7 @@ public Response<AiMessage> generate(List<ChatMessage> messages) {
 
     private Response<AiMessage> generateByNonMultimodalModel(List<ChatMessage> messages) {
         try {
-            QwenParam.QwenParamBuilder<?, ?> builder = QwenParam.builder()
+            GenerationParam.GenerationParamBuilder<?, ?> builder = GenerationParam.builder()
                     .apiKey(apiKey)
                     .model(modelName)
                     .topP(topP)

langchain4j-dashscope/src/main/java/dev/langchain4j/model/dashscope/QwenEmbeddingModel.java

@@ -19,6 +19,10 @@
 import static dev.langchain4j.spi.ServiceHelper.loadFactories;
 import static java.util.Collections.singletonList;
 
+/**
+ * An implementation of an {@link EmbeddingModel} that uses
+ * <a href="https://help.aliyun.com/zh/dashscope/developer-reference/text-embedding-api-details">DashScope Embeddings API</a>.
+ */
 public class QwenEmbeddingModel implements EmbeddingModel {
 
     public static final String TYPE_KEY = "type";
@@ -43,14 +47,14 @@ public QwenEmbeddingModel(String apiKey, String modelName) {
     private boolean containsDocuments(List<TextSegment> textSegments) {
         return textSegments.stream()
                 .map(TextSegment::metadata)
-                .map(metadata -> metadata.get(TYPE_KEY))
+                .map(metadata -> metadata.getString(TYPE_KEY))
                 .anyMatch(TYPE_DOCUMENT::equalsIgnoreCase);
     }
 
     private boolean containsQueries(List<TextSegment> textSegments) {
         return textSegments.stream()
                 .map(TextSegment::metadata)
-                .map(metadata -> metadata.get(TYPE_KEY))
+                .map(metadata -> metadata.getString(TYPE_KEY))
                 .anyMatch(TYPE_QUERY::equalsIgnoreCase);
     }
 
@@ -123,7 +127,7 @@ public Response<List<Embedding>> embedAll(List<TextSegment> textSegments) {
                 Integer tokens = null;
                 for (TextSegment textSegment : textSegments) {
                     Response<List<Embedding>> result;
-                    if (TYPE_QUERY.equalsIgnoreCase(textSegment.metadata(TYPE_KEY))) {
+                    if (TYPE_QUERY.equalsIgnoreCase(textSegment.metadata().getString(TYPE_KEY))) {
                         result = embedTexts(singletonList(textSegment), QUERY);
                     } else {
                         result = embedTexts(singletonList(textSegment), DOCUMENT);

langchain4j-dashscope/src/main/java/dev/langchain4j/model/dashscope/QwenLanguageModel.java

@@ -1,8 +1,8 @@
 package dev.langchain4j.model.dashscope;
 
 import com.alibaba.dashscope.aigc.generation.Generation;
+import com.alibaba.dashscope.aigc.generation.GenerationParam;
 import com.alibaba.dashscope.aigc.generation.GenerationResult;
-import com.alibaba.dashscope.aigc.generation.models.QwenParam;
 import com.alibaba.dashscope.exception.InputRequiredException;
 import com.alibaba.dashscope.exception.NoApiKeyException;
 import com.alibaba.dashscope.protocol.Protocol;
@@ -20,6 +20,10 @@
 import static dev.langchain4j.model.dashscope.QwenModelName.QWEN_PLUS;
 import static dev.langchain4j.spi.ServiceHelper.loadFactories;
 
+/**
+ * Represents a Qwen language model with a text interface.
+ * More details are available <a href="https://help.aliyun.com/zh/dashscope/developer-reference/api-details">here</a>.
+ */
 public class QwenLanguageModel implements LanguageModel {
     private final String apiKey;
     private final String modelName;
@@ -71,7 +75,7 @@ public QwenLanguageModel(String baseUrl,
     @Override
     public Response<String> generate(String prompt) {
         try {
-            QwenParam.QwenParamBuilder<?, ?> builder = QwenParam.builder()
+            GenerationParam.GenerationParamBuilder<?, ?> builder = GenerationParam.builder()
                     .apiKey(apiKey)
                     .model(modelName)
                     .topP(topP)

langchain4j-dashscope/src/main/java/dev/langchain4j/model/dashscope/QwenStreamingChatModel.java

@@ -1,8 +1,8 @@
 package dev.langchain4j.model.dashscope;
 
 import com.alibaba.dashscope.aigc.generation.Generation;
+import com.alibaba.dashscope.aigc.generation.GenerationParam;
 import com.alibaba.dashscope.aigc.generation.GenerationResult;
-import com.alibaba.dashscope.aigc.generation.models.QwenParam;
 import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
 import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
 import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
@@ -26,6 +26,12 @@
 import static dev.langchain4j.model.dashscope.QwenHelper.toQwenMultiModalMessages;
 import static dev.langchain4j.spi.ServiceHelper.loadFactories;
 
+/**
+ * Represents a Qwen language model with a chat completion interface.
+ * The model's response is streamed token by token and should be handled with {@link StreamingResponseHandler}.
+ * <br>
+ * More details are available <a href="https://help.aliyun.com/zh/dashscope/developer-reference/api-details">here</a>
+ */
 public class QwenStreamingChatModel implements StreamingChatLanguageModel {
     private final String apiKey;
     private final String modelName;
@@ -91,7 +97,7 @@ public void generate(List<ChatMessage> messages, StreamingResponseHandler<AiMess
 
     private void generateByNonMultimodalModel(List<ChatMessage> messages, StreamingResponseHandler<AiMessage> handler) {
         try {
-            QwenParam.QwenParamBuilder<?, ?> builder = QwenParam.builder()
+            GenerationParam.GenerationParamBuilder<?, ?> builder = GenerationParam.builder()
                     .apiKey(apiKey)
                     .model(modelName)
                     .topP(topP)

langchain4j-dashscope/src/main/java/dev/langchain4j/model/dashscope/QwenStreamingLanguageModel.java

@@ -1,8 +1,8 @@
 package dev.langchain4j.model.dashscope;
 
 import com.alibaba.dashscope.aigc.generation.Generation;
+import com.alibaba.dashscope.aigc.generation.GenerationParam;
 import com.alibaba.dashscope.aigc.generation.GenerationResult;
-import com.alibaba.dashscope.aigc.generation.models.QwenParam;
 import com.alibaba.dashscope.common.ResultCallback;
 import com.alibaba.dashscope.exception.InputRequiredException;
 import com.alibaba.dashscope.exception.NoApiKeyException;
@@ -22,6 +22,12 @@
 import static dev.langchain4j.model.dashscope.QwenModelName.QWEN_PLUS;
 import static dev.langchain4j.spi.ServiceHelper.loadFactories;
 
+/**
+ * Represents a Qwen language model with a text interface.
+ * The model's response is streamed token by token and should be handled with {@link StreamingResponseHandler}.
+ * <br>
+ * More details are available <a href="https://help.aliyun.com/zh/dashscope/developer-reference/api-details">here</a>.
+ */
 public class QwenStreamingLanguageModel implements StreamingLanguageModel {
     private final String apiKey;
     private final String modelName;
@@ -73,7 +79,7 @@ public QwenStreamingLanguageModel(String baseUrl,
     @Override
     public void generate(String prompt, StreamingResponseHandler<String> handler) {
         try {
-            QwenParam.QwenParamBuilder<?, ?> builder = QwenParam.builder()
+            GenerationParam.GenerationParamBuilder<?, ?> builder = GenerationParam.builder()
                     .apiKey(apiKey)
                     .model(modelName)
                     .topP(topP)

langchain4j-dashscope/src/main/java/dev/langchain4j/model/dashscope/QwenTokenizer.java

@@ -1,6 +1,6 @@
 package dev.langchain4j.model.dashscope;
 
-import com.alibaba.dashscope.aigc.generation.models.QwenParam;
+import com.alibaba.dashscope.aigc.generation.GenerationParam;
 import com.alibaba.dashscope.exception.InputRequiredException;
 import com.alibaba.dashscope.exception.NoApiKeyException;
 import com.alibaba.dashscope.tokenizers.Tokenization;
@@ -36,7 +36,7 @@ public QwenTokenizer(String apiKey, String modelName) {
     public int estimateTokenCountInText(String text) {
         String prompt = isBlank(text) ? text + "_" : text;
         try {
-            QwenParam param = QwenParam.builder()
+            GenerationParam param = GenerationParam.builder()
                     .apiKey(apiKey)
                     .model(modelName)
                     .prompt(prompt)
@@ -58,7 +58,7 @@ public int estimateTokenCountInMessage(ChatMessage message) {
     @Override
     public int estimateTokenCountInMessages(Iterable<ChatMessage> messages) {
         try {
-            QwenParam param = QwenParam.builder()
+            GenerationParam param = GenerationParam.builder()
                     .apiKey(apiKey)
                     .model(modelName)
                     .messages(toQwenMessages(messages))