fix: incrementalOutput not working

spring-ai-alibaba-core/src/main/java/com/alibaba/cloud/ai/autoconfigure/dashscope/DashScopeAutoConfiguration.java

@@ -112,6 +112,10 @@ public DashScopeChatModel dashscopeChatModel(DashScopeConnectionProperties commo
 				retryTemplate);
 	}
 
+	@Bean
+	@ConditionalOnMissingBean
+	@ConditionalOnProperty(prefix = DashScopeEmbeddingProperties.CONFIG_PREFIX, name = "enabled", havingValue = "true",
+			matchIfMissing = true)
 	public DashScopeApi dashscopeChatApi(DashScopeConnectionProperties commonProperties,
 			DashScopeChatProperties chatProperties, RestClient.Builder restClientBuilder,
 			WebClient.Builder webClientBuilder, ResponseErrorHandler responseErrorHandler) {

spring-ai-alibaba-core/src/main/java/com/alibaba/cloud/ai/autoconfigure/dashscope/DashScopeChatProperties.java

@@ -40,7 +40,7 @@ public class DashScopeChatProperties extends DashScopeParentProperties {
 	/**
 	 * Default DashScope Chat model.
 	 */
-	public static final String DEFAULT_DEPLOYMENT_NAME = Generation.Models.QWEN_TURBO;
+	public static final String DEFAULT_DEPLOYMENT_NAME = Generation.Models.QWEN_PLUS;
 
 	/**
 	 * Default temperature speed.
@@ -56,7 +56,6 @@ public class DashScopeChatProperties extends DashScopeParentProperties {
 	private DashScopeChatOptions options = DashScopeChatOptions.builder()
 		.withModel(DEFAULT_DEPLOYMENT_NAME)
 		.withTemperature(DEFAULT_TEMPERATURE)
-		.withEnableSearch(true)
 		.build();
 
 	public DashScopeChatProperties() {

spring-ai-alibaba-core/src/main/java/com/alibaba/cloud/ai/dashscope/api/DashScopeAiStreamFunctionCallingHelper.java

@@ -38,6 +38,14 @@
  * @author Ken
  */
 public class DashScopeAiStreamFunctionCallingHelper {
+	private Boolean incrementalOutput = false;
+
+	public DashScopeAiStreamFunctionCallingHelper() {
+	}
+
+	public DashScopeAiStreamFunctionCallingHelper(Boolean incrementalOutput) {
+		this.incrementalOutput = incrementalOutput;
+	}
 
 	/**
 	 * Merge the previous and current ChatCompletionChunk into a single one.
@@ -46,7 +54,6 @@ public class DashScopeAiStreamFunctionCallingHelper {
 	 * @return the merged ChatCompletionChunk
 	 */
 	public ChatCompletionChunk merge(ChatCompletionChunk previous, ChatCompletionChunk current) {
-
 		if (previous == null) {
 			return current;
 		}
@@ -57,9 +64,18 @@ public ChatCompletionChunk merge(ChatCompletionChunk previous, ChatCompletionChu
 		Choice previousChoice0 = previous.output() == null ? null : previous.output().choices().get(0);
 		Choice currentChoice0 = current.output() == null ? null : current.output().choices().get(0);
 
+		//compatibility of incremental_output false for streaming function call
+		if (!incrementalOutput && isStreamingToolFunctionCall(current)) {
+			if (!isStreamingToolFunctionCallFinish(current)) {
+				return new ChatCompletionChunk(id, new ChatCompletionOutput(null, List.of(new Choice(null, null))), usage);
+			} else {
+				return new ChatCompletionChunk(id, new ChatCompletionOutput(null, List.of(currentChoice0)), usage);
+			}
+		}
+
 		Choice choice = merge(previousChoice0, currentChoice0);
 		List<Choice> chunkChoices = choice == null ? List.of() : List.of(choice);
-		return new ChatCompletionChunk(id, new ChatCompletionOutput(null, chunkChoices), usage);
+        return new ChatCompletionChunk(id, new ChatCompletionOutput(null, chunkChoices), usage);
 	}
 
 	private Choice merge(Choice previous, Choice current) {

spring-ai-alibaba-core/src/main/java/com/alibaba/cloud/ai/dashscope/api/DashScopeApi.java

@@ -1237,8 +1237,6 @@ public ResponseEntity<ChatCompletion> chatCompletionEntity(ChatCompletionRequest
 			.toEntity(ChatCompletion.class);
 	}
 
-	private final DashScopeAiStreamFunctionCallingHelper chunkMerger = new DashScopeAiStreamFunctionCallingHelper();
-
 	/**
 	 * Creates a streaming chat response for the given chat conversation.
 	 * @param chatRequest The chat completion request. Must have the stream property set
@@ -1251,6 +1249,8 @@ public Flux<ChatCompletionChunk> chatCompletionStream(ChatCompletionRequest chat
 		Assert.isTrue(chatRequest.stream(), "Request must set the stream property to true.");
 
 		AtomicBoolean isInsideTool = new AtomicBoolean(false);
+		boolean incrementalOutput = chatRequest.parameters() != null && chatRequest.parameters().incrementalOutput != null && chatRequest.parameters().incrementalOutput;
+		DashScopeAiStreamFunctionCallingHelper chunkMerger = new DashScopeAiStreamFunctionCallingHelper(incrementalOutput);
 
 		return this.webClient.post()
 			.uri("/api/v1/services/aigc/text-generation/generation")
@@ -1262,21 +1262,21 @@ public Flux<ChatCompletionChunk> chatCompletionStream(ChatCompletionRequest chat
 			.filter(SSE_DONE_PREDICATE.negate())
 			.map(content -> ModelOptionsUtils.jsonToObject(content, ChatCompletionChunk.class))
 			.map(chunk -> {
-				if (this.chunkMerger.isStreamingToolFunctionCall(chunk)) {
+				if (chunkMerger.isStreamingToolFunctionCall(chunk)) {
 					isInsideTool.set(true);
 				}
 				return chunk;
 			})
 			.windowUntil(chunk -> {
-				if (isInsideTool.get() && this.chunkMerger.isStreamingToolFunctionCallFinish(chunk)) {
+				if (isInsideTool.get() && chunkMerger.isStreamingToolFunctionCallFinish(chunk)) {
 					isInsideTool.set(false);
 					return true;
 				}
 				return !isInsideTool.get();
 			})
 			.concatMapIterable(window -> {
 				Mono<ChatCompletionChunk> monoChunk = window.reduce(new ChatCompletionChunk(null, null, null),
-						this.chunkMerger::merge);
+						chunkMerger::merge);
 				return List.of(monoChunk);
 			})
 			.flatMap(mono -> mono);

spring-ai-alibaba-core/src/main/java/com/alibaba/cloud/ai/dashscope/chat/DashScopeChatModel.java

@@ -248,9 +248,7 @@ ChatCompletionRequest createRequest(Prompt prompt, boolean stream) {
 		options = ModelOptionsUtils.merge(options, this.defaultOptions, DashScopeChatOptions.class);
 
 		if (!CollectionUtils.isEmpty(enabledToolsToUse)) {
-			options = ModelOptionsUtils.merge(
-					DashScopeChatOptions.builder().withTools(this.getFunctionTools(enabledToolsToUse)).build(), options,
-					DashScopeChatOptions.class);
+			options.setTools(this.getFunctionTools(enabledToolsToUse));
 		}
 
 		List<ChatCompletionMessage> chatCompletionMessages = prompt.getInstructions().stream().map(message -> {
@@ -338,7 +336,7 @@ private ChatCompletionRequestParameter toDashScopeRequestParameter(DashScopeChat
 			return new ChatCompletionRequestParameter();
 		}
 
-		Boolean incrementalOutput = stream || options.getIncrementalOutput();
+		Boolean incrementalOutput = options.getIncrementalOutput();
 		return new ChatCompletionRequestParameter("message", options.getSeed(), options.getMaxTokens(),
 				options.getTopP(), options.getTopK(), options.getRepetitionPenalty(), options.getPresencePenalty(),
 				options.getTemperature(), options.getStop(), options.getEnableSearch(), incrementalOutput,

spring-ai-alibaba-core/src/main/java/com/alibaba/cloud/ai/dashscope/chat/DashScopeChatOptions.java

@@ -74,7 +74,7 @@ public class DashScopeChatOptions implements FunctionCallingOptions, ChatOptions
   /**
    * 控制在流式输出模式下是否开启增量输出，即后续输出内容是否包含已输出的内容。设置为True时，将开启增量输出模式，后面输出不会包含已经输出的内容，您需要自行拼接整体输出；设置为False则会包含已输出的内容。
    */
-  private @JsonProperty("incremental_output") Boolean incrementalOutput = false;
+  private @JsonProperty("incremental_output") Boolean incrementalOutput = true;
 
   /** 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。默认为1.1。 */
   private @JsonProperty("repetition_penalty") Float repetitionPenalty;
@@ -341,6 +341,7 @@ public static DashScopeChatOptions fromOptions(DashScopeChatOptions fromOptions)
         .withStop(fromOptions.getStop())
         .withStream(fromOptions.getStream())
         .withEnableSearch(fromOptions.enableSearch)
+        .withIncrementalOutput(fromOptions.getIncrementalOutput())
         .withFunctionCallbacks(fromOptions.getFunctionCallbacks())
         .withFunctions(fromOptions.getFunctions())
         .withRepetitionPenalty(fromOptions.getRepetitionPenalty())

spring-ai-alibaba-core/src/test/java/com/alibaba/cloud/ai/dashscope/chat/client/DashScopeChatClientIT.java

@@ -21,6 +21,7 @@
 import com.alibaba.cloud.ai.dashscope.api.DashScopeApi;
 import com.alibaba.cloud.ai.dashscope.api.DashScopeApi.ChatCompletionFinishReason;
 import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatModel;
+import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatOptions;
 import com.alibaba.cloud.ai.dashscope.tool.DashScopeFunctionTestConfiguration;
 import com.alibaba.cloud.ai.dashscope.chat.tool.MockOrderService;
 import com.alibaba.cloud.ai.dashscope.chat.tool.MockWeatherService;
@@ -75,7 +76,7 @@ public class DashScopeChatClientIT {
 	private DashScopeChatModel dashscopeChatModel;
 
 	@Autowired
-	private DashScopeApi dashscopeApi;
+	private DashScopeApi dashscopeChatApi;
 
 	@Value("classpath:/prompts/rag/system-qa.st")
 	private Resource systemResource;
@@ -85,7 +86,7 @@ public class DashScopeChatClientIT {
 
 	@Test
 	void callTest() throws IOException {
-		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeApi,
+		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeChatApi,
 				DashScopeDocumentRetrieverOptions.builder().withIndexName("spring-ai知识库").build());
 
 		ChatClient chatClient = ChatClient.builder(dashscopeChatModel)
@@ -102,14 +103,20 @@ void callTest() throws IOException {
 
 	@Test
 	void streamTest() throws InterruptedException, IOException {
-		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeApi,
+		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeChatApi,
 				DashScopeDocumentRetrieverOptions.builder().withIndexName("spring-ai知识库").build());
 		ChatClient chatClient = ChatClient.builder(dashscopeChatModel)
 			.defaultAdvisors(
 					new DocumentRetrievalAdvisor(retriever, systemResource.getContentAsString(StandardCharsets.UTF_8)))
 			.build();
 
-		Flux<ChatResponse> response = chatClient.prompt().user("如何快速开始百炼?").stream().chatResponse();
+		Flux<ChatResponse> response = chatClient.prompt()
+				.user("如何快速开始百炼?")
+				.options(DashScopeChatOptions.builder()
+						.withIncrementalOutput(true)
+						.build())
+				.stream()
+				.chatResponse();
 
 		CountDownLatch cdl = new CountDownLatch(1);
 		response.subscribe(data -> {
@@ -159,7 +166,7 @@ void callWithFunctionBeanTest() {
 
 	@Test
 	void callWithFunctionAndRagTest() throws IOException {
-		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeApi,
+		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeChatApi,
 				DashScopeDocumentRetrieverOptions.builder().withIndexName("spring-ai知识库").build());
 
 		ChatClient chatClient = ChatClient.builder(dashscopeChatModel)
@@ -178,7 +185,7 @@ void callWithFunctionAndRagTest() throws IOException {
 
 	@Test
 	void streamCallWithFunctionAndRagTest() throws InterruptedException, IOException {
-		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeApi,
+		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeChatApi,
 				DashScopeDocumentRetrieverOptions.builder().withIndexName("spring-ai知识库").build());
 
 		ChatClient chatClient = ChatClient.builder(dashscopeChatModel)
@@ -187,7 +194,13 @@ void streamCallWithFunctionAndRagTest() throws InterruptedException, IOException
 			.defaultFunctions("weatherFunction")
 			.build();
 
-		Flux<ChatResponse> response = chatClient.prompt().user("上海今天的天气如何?").stream().chatResponse();
+		Flux<ChatResponse> response = chatClient.prompt()
+				.user("上海今天的天气如何?")
+				.options(DashScopeChatOptions.builder()
+						.withIncrementalOutput(true)
+						.build())
+				.stream()
+				.chatResponse();
 
 		CountDownLatch cdl = new CountDownLatch(1);
 		response.subscribe(data -> {
@@ -206,7 +219,7 @@ void streamCallWithFunctionAndRagTest() throws InterruptedException, IOException
 
 	@Test
 	void callWithReferencedRagTest() throws IOException {
-		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeApi,
+		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeChatApi,
 				DashScopeDocumentRetrieverOptions.builder().withIndexName("spring-ai知识库").build());
 
 		ChatClient chatClient = ChatClient.builder(dashscopeChatModel)
@@ -232,7 +245,7 @@ void callWithReferencedRagTest() throws IOException {
 
 	@Test
 	void streamCallWithReferencedRagTest() throws IOException, InterruptedException {
-		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeApi,
+		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeChatApi,
 				DashScopeDocumentRetrieverOptions.builder().withIndexName("spring-ai知识库").build());
 
 		ChatClient chatClient = ChatClient.builder(dashscopeChatModel)
@@ -272,7 +285,7 @@ void streamCallWithReferencedRagTest() throws IOException, InterruptedException
 
 	@Test
 	void callWithMemory() throws IOException {
-		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeApi,
+		DocumentRetriever retriever = new DashScopeDocumentRetriever(dashscopeChatApi,
 				DashScopeDocumentRetrieverOptions.builder().withIndexName("spring-ai知识库").build());
 
 		ChatClient chatClient = ChatClient.builder(dashscopeChatModel)
@@ -309,24 +322,24 @@ void callWithMemory() throws IOException {
 	@Test
 	void reader() {
 		String filePath = "/Users/nuocheng.lxm/Desktop/新能源产业有哪些-36氪.pdf";
-		DashScopeDocumentCloudReader reader = new DashScopeDocumentCloudReader(filePath, dashscopeApi, null);
+		DashScopeDocumentCloudReader reader = new DashScopeDocumentCloudReader(filePath, dashscopeChatApi, null);
 		List<Document> documentList = reader.get();
-		DashScopeDocumentTransformer transformer = new DashScopeDocumentTransformer(dashscopeApi);
+		DashScopeDocumentTransformer transformer = new DashScopeDocumentTransformer(dashscopeChatApi);
 		List<Document> transformerList = transformer.apply(documentList);
 		System.out.println(transformerList.size());
 	}
 
 	@Test
 	void embed() {
-		DashScopeEmbeddingModel embeddingModel = new DashScopeEmbeddingModel(dashscopeApi);
+		DashScopeEmbeddingModel embeddingModel = new DashScopeEmbeddingModel(dashscopeChatApi);
 		Document document = new Document("你好阿里云");
 		float[] vectorList = embeddingModel.embed(document);
 		System.out.println(vectorList.length);
 	}
 
 	@Test
 	void vectorStore() {
-		DashScopeCloudStore cloudStore = new DashScopeCloudStore(dashscopeApi, new DashScopeStoreOptions("诺成SpringAI"));
+		DashScopeCloudStore cloudStore = new DashScopeCloudStore(dashscopeChatApi, new DashScopeStoreOptions("诺成SpringAI"));
 		List<Document> documentList = Arrays.asList(
 				new Document("file_f0b6b18b14994ed8a0b45648ce5d0da5_10001", "abc", new HashMap<>()),
 				new Document("file_d3083d64026d4864b4558d18f9ca2a6d_10001", "abc", new HashMap<>()),

spring-ai-alibaba-examples/playground-flight-booking/frontend/generated/vaadin.ts

@@ -60,4 +60,4 @@ import { Outlet } from 'react-router-dom';
 (window as any).Vaadin ??= {};
 (window as any).Vaadin.copilot ??= {};
 (window as any).Vaadin.copilot._ref ??= {};
-(window as any).Vaadin.copilot._ref.Outlet = Outlet;
+(window as any).Vaadin.copilot._ref.Outlet = Outlet;