[Improvement][headless] Implement Generational ZGC (#2236)

Great, thanks!

assembly/bin/supersonic-daemon.sh

@@ -61,7 +61,7 @@ function runJavaService {
   fi
   export PATH=$JAVA_HOME/bin:$PATH
   command="-Dfile.encoding=UTF-8 -Duser.language=Zh -Duser.region=CN -Duser.timezone=GMT+08
-  -Dapp_name=${local_app_name} -Xms1024m -Xmx2048m $main_class"
+  -Dapp_name=${local_app_name} -Xms1024m -Xmx2048m -XX:+UseZGC -XX:+ZGenerational $main_class"
 
   mkdir -p $javaRunDir/logs
   java -Dspring.profiles.active="$profile" $command >/dev/null 2>$javaRunDir/logs/error.log &

common/pom.xml

@@ -21,7 +21,10 @@
             <groupId>org.springframework.boot</groupId>
             <artifactId>spring-boot-starter-validation</artifactId>
         </dependency>
-
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-autoconfigure-processor</artifactId>
+        </dependency>
 
         <dependency>
             <groupId>org.slf4j</groupId>
@@ -33,7 +36,7 @@
         <dependency>
             <groupId>org.apache.httpcomponents.client5</groupId>
             <artifactId>httpclient5</artifactId>
-            <version>${httpclient5.version}</version> <!-- 请确认使用最新稳定版本 -->
+            <version>${httpclient5.version}</version>
         </dependency>
 <!--        <dependency>-->
 <!--            <groupId>org.apache.httpcomponents</groupId>-->
@@ -182,10 +185,6 @@
             <groupId>dev.langchain4j</groupId>
             <artifactId>langchain4j-pgvector</artifactId>
         </dependency>
-        <dependency>
-            <groupId>dev.langchain4j</groupId>
-            <artifactId>langchain4j-azure-open-ai</artifactId>
-        </dependency>
         <dependency>
             <groupId>dev.langchain4j</groupId>
             <artifactId>langchain4j-embeddings-bge-small-zh</artifactId>
@@ -198,34 +197,6 @@
             <groupId>dev.langchain4j</groupId>
             <artifactId>langchain4j-embeddings-all-minilm-l6-v2-q</artifactId>
         </dependency>
-        <dependency>
-            <groupId>dev.langchain4j</groupId>
-            <artifactId>langchain4j-qianfan</artifactId>
-        </dependency>
-        <dependency>
-            <groupId>dev.langchain4j</groupId>
-            <artifactId>langchain4j-zhipu-ai</artifactId>
-        </dependency>
-        <dependency>
-            <groupId>dev.langchain4j</groupId>
-            <artifactId>langchain4j-dashscope</artifactId>
-            <exclusions>
-                <exclusion>
-                    <groupId>org.slf4j</groupId>
-                    <artifactId>slf4j-simple</artifactId>
-                </exclusion>
-            </exclusions>
-        </dependency>
-        <dependency>
-            <groupId>dev.langchain4j</groupId>
-            <artifactId>langchain4j-chatglm</artifactId>
-            <exclusions>
-                <exclusion>
-                    <groupId>org.slf4j</groupId>
-                    <artifactId>slf4j-simple</artifactId>
-                </exclusion>
-            </exclusions>
-        </dependency>
         <dependency>
             <groupId>dev.langchain4j</groupId>
             <artifactId>langchain4j-ollama</artifactId>
@@ -237,11 +208,6 @@
             <version>${hanlp.version}</version>
         </dependency>
 
-        <dependency>
-            <groupId>org.springframework.boot</groupId>
-            <artifactId>spring-boot-autoconfigure-processor</artifactId>
-        </dependency>
-
         <dependency>
             <groupId>com.google.code.gson</groupId>
             <artifactId>gson</artifactId>

common/src/main/java/com/tencent/supersonic/common/config/EmbeddingModelParameterConfig.java

@@ -4,14 +4,10 @@ import com.google.common.collect.ImmutableMap;
 import com.google.common.collect.Lists;
 import com.tencent.supersonic.common.pojo.EmbeddingModelConfig;
 import com.tencent.supersonic.common.pojo.Parameter;
-import dev.langchain4j.provider.AzureModelFactory;
-import dev.langchain4j.provider.DashscopeModelFactory;
 import dev.langchain4j.provider.EmbeddingModelConstant;
 import dev.langchain4j.provider.InMemoryModelFactory;
 import dev.langchain4j.provider.OllamaModelFactory;
 import dev.langchain4j.provider.OpenAiModelFactory;
-import dev.langchain4j.provider.QianfanModelFactory;
-import dev.langchain4j.provider.ZhipuModelFactory;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.stereotype.Service;
 
@@ -70,52 +66,31 @@ public class EmbeddingModelParameterConfig extends ParameterConfig {
 
     private static ArrayList<String> getCandidateValues() {
         return Lists.newArrayList(InMemoryModelFactory.PROVIDER, OpenAiModelFactory.PROVIDER,
-                OllamaModelFactory.PROVIDER, DashscopeModelFactory.PROVIDER,
-                QianfanModelFactory.PROVIDER, ZhipuModelFactory.PROVIDER,
-                AzureModelFactory.PROVIDER);
+                OllamaModelFactory.PROVIDER);
     }
 
     private static List<Parameter.Dependency> getBaseUrlDependency() {
         return getDependency(EMBEDDING_MODEL_PROVIDER.getName(),
-                Lists.newArrayList(OpenAiModelFactory.PROVIDER, OllamaModelFactory.PROVIDER,
-                        AzureModelFactory.PROVIDER, DashscopeModelFactory.PROVIDER,
-                        QianfanModelFactory.PROVIDER, ZhipuModelFactory.PROVIDER),
+                Lists.newArrayList(OpenAiModelFactory.PROVIDER, OllamaModelFactory.PROVIDER),
                 ImmutableMap.of(OpenAiModelFactory.PROVIDER, OpenAiModelFactory.DEFAULT_BASE_URL,
-                        OllamaModelFactory.PROVIDER, OllamaModelFactory.DEFAULT_BASE_URL,
-                        AzureModelFactory.PROVIDER, AzureModelFactory.DEFAULT_BASE_URL,
-                        DashscopeModelFactory.PROVIDER, DashscopeModelFactory.DEFAULT_BASE_URL,
-                        QianfanModelFactory.PROVIDER, QianfanModelFactory.DEFAULT_BASE_URL,
-                        ZhipuModelFactory.PROVIDER, ZhipuModelFactory.DEFAULT_BASE_URL));
+                        OllamaModelFactory.PROVIDER, OllamaModelFactory.DEFAULT_BASE_URL));
     }
 
     private static List<Parameter.Dependency> getApiKeyDependency() {
         return getDependency(EMBEDDING_MODEL_PROVIDER.getName(),
-                Lists.newArrayList(OpenAiModelFactory.PROVIDER, AzureModelFactory.PROVIDER,
-                        DashscopeModelFactory.PROVIDER, QianfanModelFactory.PROVIDER,
-                        ZhipuModelFactory.PROVIDER),
-                ImmutableMap.of(OpenAiModelFactory.PROVIDER, DEMO, AzureModelFactory.PROVIDER, DEMO,
-                        DashscopeModelFactory.PROVIDER, DEMO, QianfanModelFactory.PROVIDER, DEMO,
-                        ZhipuModelFactory.PROVIDER, DEMO));
+                Lists.newArrayList(OpenAiModelFactory.PROVIDER),
+                ImmutableMap.of(OpenAiModelFactory.PROVIDER, DEMO));
     }
 
     private static List<Parameter.Dependency> getModelNameDependency() {
         return getDependency(EMBEDDING_MODEL_PROVIDER.getName(),
                 Lists.newArrayList(InMemoryModelFactory.PROVIDER, OpenAiModelFactory.PROVIDER,
-                        OllamaModelFactory.PROVIDER, AzureModelFactory.PROVIDER,
-                        DashscopeModelFactory.PROVIDER, QianfanModelFactory.PROVIDER,
-                        ZhipuModelFactory.PROVIDER),
+                        OllamaModelFactory.PROVIDER),
                 ImmutableMap.of(InMemoryModelFactory.PROVIDER, EmbeddingModelConstant.BGE_SMALL_ZH,
                         OpenAiModelFactory.PROVIDER,
                         OpenAiModelFactory.DEFAULT_EMBEDDING_MODEL_NAME,
                         OllamaModelFactory.PROVIDER,
-                        OllamaModelFactory.DEFAULT_EMBEDDING_MODEL_NAME, AzureModelFactory.PROVIDER,
-                        AzureModelFactory.DEFAULT_EMBEDDING_MODEL_NAME,
-                        DashscopeModelFactory.PROVIDER,
-                        DashscopeModelFactory.DEFAULT_EMBEDDING_MODEL_NAME,
-                        QianfanModelFactory.PROVIDER,
-                        QianfanModelFactory.DEFAULT_EMBEDDING_MODEL_NAME,
-                        ZhipuModelFactory.PROVIDER,
-                        ZhipuModelFactory.DEFAULT_EMBEDDING_MODEL_NAME));
+                        OllamaModelFactory.DEFAULT_EMBEDDING_MODEL_NAME));
     }
 
     private static List<Parameter.Dependency> getModelPathDependency() {
@@ -126,7 +101,7 @@ public class EmbeddingModelParameterConfig extends ParameterConfig {
 
     private static List<Parameter.Dependency> getSecretKeyDependency() {
         return getDependency(EMBEDDING_MODEL_PROVIDER.getName(),
-                Lists.newArrayList(QianfanModelFactory.PROVIDER),
-                ImmutableMap.of(QianfanModelFactory.PROVIDER, DEMO));
+                Lists.newArrayList(OpenAiModelFactory.PROVIDER),
+                ImmutableMap.of(OpenAiModelFactory.PROVIDER, DEMO));
     }
 }

common/src/main/java/com/tencent/supersonic/common/pojo/ChatModelParameters.java

@@ -85,20 +85,20 @@ public class ChatModelParameters {
 
     private static List<Parameter.Dependency> getEndpointDependency() {
         return getDependency(CHAT_MODEL_PROVIDER.getName(),
-                Lists.newArrayList(QianfanModelFactory.PROVIDER), ImmutableMap
-                        .of(QianfanModelFactory.PROVIDER, QianfanModelFactory.DEFAULT_ENDPOINT));
+                Lists.newArrayList(OpenAiModelFactory.PROVIDER), ImmutableMap
+                        .of(OpenAiModelFactory.PROVIDER, OpenAiModelFactory.DEFAULT_MODEL_NAME));
     }
 
     private static List<Parameter.Dependency> getEnableSearchDependency() {
         return getDependency(CHAT_MODEL_PROVIDER.getName(),
-                Lists.newArrayList(DashscopeModelFactory.PROVIDER),
-                ImmutableMap.of(DashscopeModelFactory.PROVIDER, "false"));
+                Lists.newArrayList(OpenAiModelFactory.PROVIDER),
+                ImmutableMap.of(OpenAiModelFactory.PROVIDER, "false"));
     }
 
     private static List<Parameter.Dependency> getSecretKeyDependency() {
         return getDependency(CHAT_MODEL_PROVIDER.getName(),
-                Lists.newArrayList(QianfanModelFactory.PROVIDER), ImmutableMap.of(
-                        QianfanModelFactory.PROVIDER, ModelProvider.DEMO_CHAT_MODEL.getApiKey()));
+                Lists.newArrayList(OpenAiModelFactory.PROVIDER), ImmutableMap.of(
+                        OpenAiModelFactory.PROVIDER, ModelProvider.DEMO_CHAT_MODEL.getApiKey()));
     }
 
     private static List<Parameter.Dependency> getDependency(String dependencyParameterName,

common/src/main/java/dev/langchain4j/dashscope/spring/ChatModelProperties.java

@@ -1,23 +0,0 @@
-package dev.langchain4j.dashscope.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-
-import java.util.List;
-
-@Getter
-@Setter
-class ChatModelProperties {
-
-    String baseUrl;
-    String apiKey;
-    String modelName;
-    Double topP;
-    Integer topK;
-    Boolean enableSearch;
-    Integer seed;
-    Float repetitionPenalty;
-    Float temperature;
-    List<String> stops;
-    Integer maxTokens;
-}

common/src/main/java/dev/langchain4j/dashscope/spring/DashscopeAutoConfig.java

@@ -1,84 +0,0 @@
-package dev.langchain4j.dashscope.spring;
-
-import dev.langchain4j.model.dashscope.QwenChatModel;
-import dev.langchain4j.model.dashscope.QwenEmbeddingModel;
-import dev.langchain4j.model.dashscope.QwenLanguageModel;
-import dev.langchain4j.model.dashscope.QwenStreamingChatModel;
-import dev.langchain4j.model.dashscope.QwenStreamingLanguageModel;
-import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
-import org.springframework.boot.context.properties.EnableConfigurationProperties;
-import org.springframework.context.annotation.Bean;
-import org.springframework.context.annotation.Configuration;
-
-import static dev.langchain4j.dashscope.spring.Properties.PREFIX;
-
-@Configuration
-@EnableConfigurationProperties(Properties.class)
-public class DashscopeAutoConfig {
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".chat-model.api-key")
-    QwenChatModel qwenChatModel(Properties properties) {
-        ChatModelProperties chatModelProperties = properties.getChatModel();
-        return QwenChatModel.builder().baseUrl(chatModelProperties.getBaseUrl())
-                .apiKey(chatModelProperties.getApiKey())
-                .modelName(chatModelProperties.getModelName()).topP(chatModelProperties.getTopP())
-                .topK(chatModelProperties.getTopK())
-                .enableSearch(chatModelProperties.getEnableSearch())
-                .seed(chatModelProperties.getSeed())
-                .repetitionPenalty(chatModelProperties.getRepetitionPenalty())
-                .temperature(chatModelProperties.getTemperature())
-                .stops(chatModelProperties.getStops()).maxTokens(chatModelProperties.getMaxTokens())
-                .build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".streaming-chat-model.api-key")
-    QwenStreamingChatModel qwenStreamingChatModel(Properties properties) {
-        ChatModelProperties chatModelProperties = properties.getStreamingChatModel();
-        return QwenStreamingChatModel.builder().baseUrl(chatModelProperties.getBaseUrl())
-                .apiKey(chatModelProperties.getApiKey())
-                .modelName(chatModelProperties.getModelName()).topP(chatModelProperties.getTopP())
-                .topK(chatModelProperties.getTopK())
-                .enableSearch(chatModelProperties.getEnableSearch())
-                .seed(chatModelProperties.getSeed())
-                .repetitionPenalty(chatModelProperties.getRepetitionPenalty())
-                .temperature(chatModelProperties.getTemperature())
-                .stops(chatModelProperties.getStops()).maxTokens(chatModelProperties.getMaxTokens())
-                .build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".language-model.api-key")
-    QwenLanguageModel qwenLanguageModel(Properties properties) {
-        ChatModelProperties languageModel = properties.getLanguageModel();
-        return QwenLanguageModel.builder().baseUrl(languageModel.getBaseUrl())
-                .apiKey(languageModel.getApiKey()).modelName(languageModel.getModelName())
-                .topP(languageModel.getTopP()).topK(languageModel.getTopK())
-                .enableSearch(languageModel.getEnableSearch()).seed(languageModel.getSeed())
-                .repetitionPenalty(languageModel.getRepetitionPenalty())
-                .temperature(languageModel.getTemperature()).stops(languageModel.getStops())
-                .maxTokens(languageModel.getMaxTokens()).build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".streaming-language-model.api-key")
-    QwenStreamingLanguageModel qwenStreamingLanguageModel(Properties properties) {
-        ChatModelProperties languageModel = properties.getStreamingLanguageModel();
-        return QwenStreamingLanguageModel.builder().baseUrl(languageModel.getBaseUrl())
-                .apiKey(languageModel.getApiKey()).modelName(languageModel.getModelName())
-                .topP(languageModel.getTopP()).topK(languageModel.getTopK())
-                .enableSearch(languageModel.getEnableSearch()).seed(languageModel.getSeed())
-                .repetitionPenalty(languageModel.getRepetitionPenalty())
-                .temperature(languageModel.getTemperature()).stops(languageModel.getStops())
-                .maxTokens(languageModel.getMaxTokens()).build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".embedding-model.api-key")
-    QwenEmbeddingModel qwenEmbeddingModel(Properties properties) {
-        EmbeddingModelProperties embeddingModelProperties = properties.getEmbeddingModel();
-        return QwenEmbeddingModel.builder().apiKey(embeddingModelProperties.getApiKey())
-                .modelName(embeddingModelProperties.getModelName()).build();
-    }
-}

common/src/main/java/dev/langchain4j/dashscope/spring/EmbeddingModelProperties.java

@@ -1,12 +0,0 @@
-package dev.langchain4j.dashscope.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-
-@Getter
-@Setter
-class EmbeddingModelProperties {
-
-    private String apiKey;
-    private String modelName;
-}

common/src/main/java/dev/langchain4j/dashscope/spring/Properties.java

@@ -1,29 +0,0 @@
-package dev.langchain4j.dashscope.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-import org.springframework.boot.context.properties.ConfigurationProperties;
-import org.springframework.boot.context.properties.NestedConfigurationProperty;
-
-@Getter
-@Setter
-@ConfigurationProperties(prefix = Properties.PREFIX)
-public class Properties {
-
-    static final String PREFIX = "langchain4j.dashscope";
-
-    @NestedConfigurationProperty
-    ChatModelProperties chatModel;
-
-    @NestedConfigurationProperty
-    ChatModelProperties streamingChatModel;
-
-    @NestedConfigurationProperty
-    ChatModelProperties languageModel;
-
-    @NestedConfigurationProperty
-    ChatModelProperties streamingLanguageModel;
-
-    @NestedConfigurationProperty
-    EmbeddingModelProperties embeddingModel;
-}

common/src/main/java/dev/langchain4j/model/dify/DifyAiChatModel.java

@@ -9,6 +9,7 @@ import dev.langchain4j.data.message.ChatMessage;
 import dev.langchain4j.model.chat.ChatLanguageModel;
 import dev.langchain4j.model.output.Response;
 import lombok.Builder;
+import lombok.Setter;
 
 import java.util.List;
 
@@ -32,6 +33,7 @@ public class DifyAiChatModel implements ChatLanguageModel {
     private final Double temperature;
     private final Long timeOut;
 
+    @Setter
     private String userName;
 
     @Builder
@@ -54,7 +56,7 @@ public class DifyAiChatModel implements ChatLanguageModel {
     @Override
     public String generate(String message) {
         DifyResult difyResult = this.difyClient.generate(message, this.getUserName());
-        return difyResult.getAnswer().toString();
+        return difyResult.getAnswer();
     }
 
     @Override
@@ -67,7 +69,7 @@ public class DifyAiChatModel implements ChatLanguageModel {
             List<ToolSpecification> toolSpecifications) {
         ensureNotEmpty(messages, "messages");
         DifyResult difyResult =
-                this.difyClient.generate(messages.get(0).text(), this.getUserName());
+                this.difyClient.generate(messages.get(0).toString(), this.getUserName());
         System.out.println(difyResult.toString());
 
         if (!isNullOrEmpty(toolSpecifications)) {
@@ -84,12 +86,8 @@ public class DifyAiChatModel implements ChatLanguageModel {
                 toolSpecification != null ? singletonList(toolSpecification) : null);
     }
 
-    public void setUserName(String userName) {
-        this.userName = userName;
-    }
-
     public String getUserName() {
-        return null == userName ? "zhaodongsheng" : userName;
+        return null == userName ? "admin" : userName;
     }
 
 }

common/src/main/java/dev/langchain4j/model/openai/OpenAiChatModel.java

@@ -52,7 +52,7 @@ import static dev.langchain4j.model.openai.InternalOpenAiHelper.toOpenAiMessages
 import static dev.langchain4j.model.openai.InternalOpenAiHelper.toOpenAiResponseFormat;
 import static dev.langchain4j.model.openai.InternalOpenAiHelper.toTools;
 import static dev.langchain4j.model.openai.InternalOpenAiHelper.tokenUsageFrom;
-import static dev.langchain4j.model.openai.OpenAiModelName.GPT_3_5_TURBO;
+import static dev.langchain4j.model.openai.OpenAiChatModelName.GPT_3_5_TURBO;
 import static dev.langchain4j.spi.ServiceHelper.loadFactories;
 import static java.time.Duration.ofSeconds;
 import static java.util.Collections.emptyList;
@@ -66,7 +66,6 @@ import static java.util.Collections.singletonList;
 @Slf4j
 public class OpenAiChatModel implements ChatLanguageModel, TokenCountEstimator {
 
-    public static final String ZHIPU = "bigmodel";
     private final OpenAiClient client;
     private final String baseUrl;
     private final String modelName;
@@ -111,7 +110,7 @@ public class OpenAiChatModel implements ChatLanguageModel, TokenCountEstimator {
                 .connectTimeout(timeout).readTimeout(timeout).writeTimeout(timeout).proxy(proxy)
                 .logRequests(logRequests).logResponses(logResponses).userAgent(DEFAULT_USER_AGENT)
                 .customHeaders(customHeaders).build();
-        this.modelName = getOrDefault(modelName, GPT_3_5_TURBO);
+        this.modelName = getOrDefault(modelName, GPT_3_5_TURBO.name());
         this.apiVersion = apiVersion;
         this.temperature = getOrDefault(temperature, 0.7);
         this.topP = topP;
@@ -130,7 +129,7 @@ public class OpenAiChatModel implements ChatLanguageModel, TokenCountEstimator {
         this.strictTools = getOrDefault(strictTools, false);
         this.parallelToolCalls = parallelToolCalls;
         this.maxRetries = getOrDefault(maxRetries, 3);
-        this.tokenizer = getOrDefault(tokenizer, OpenAiTokenizer::new);
+        this.tokenizer = getOrDefault(tokenizer, () -> new OpenAiTokenizer(this.modelName));
         this.listeners = listeners == null ? emptyList() : new ArrayList<>(listeners);
     }
 
@@ -192,9 +191,7 @@ public class OpenAiChatModel implements ChatLanguageModel, TokenCountEstimator {
                 .responseFormat(responseFormat).seed(seed).user(user)
                 .parallelToolCalls(parallelToolCalls);
 
-        if (!(baseUrl.contains(ZHIPU))) {
-            requestBuilder.temperature(temperature);
-        }
+        requestBuilder.temperature(temperature);
 
         if (toolSpecifications != null && !toolSpecifications.isEmpty()) {
             requestBuilder.tools(toTools(toolSpecifications, strictTools));

common/src/main/java/dev/langchain4j/model/zhipu/ChatCompletionModel.java

@@ -1,16 +0,0 @@
-package dev.langchain4j.model.zhipu;
-
-public enum ChatCompletionModel {
-    GLM_4("glm-4"), GLM_3_TURBO("glm-3-turbo"), CHATGLM_TURBO("chatglm_turbo");
-
-    private final String value;
-
-    ChatCompletionModel(String value) {
-        this.value = value;
-    }
-
-    @Override
-    public String toString() {
-        return this.value;
-    }
-}

common/src/main/java/dev/langchain4j/model/zhipu/ZhipuAiChatModel.java

@@ -1,100 +0,0 @@
-package dev.langchain4j.model.zhipu;
-
-import dev.langchain4j.agent.tool.ToolSpecification;
-import dev.langchain4j.data.message.AiMessage;
-import dev.langchain4j.data.message.ChatMessage;
-import dev.langchain4j.model.chat.ChatLanguageModel;
-import dev.langchain4j.model.output.Response;
-import dev.langchain4j.model.zhipu.chat.ChatCompletionRequest;
-import dev.langchain4j.model.zhipu.chat.ChatCompletionResponse;
-import dev.langchain4j.model.zhipu.spi.ZhipuAiChatModelBuilderFactory;
-import lombok.Builder;
-
-import java.util.List;
-
-import static dev.langchain4j.internal.RetryUtils.withRetry;
-import static dev.langchain4j.internal.Utils.getOrDefault;
-import static dev.langchain4j.internal.Utils.isNullOrEmpty;
-import static dev.langchain4j.internal.ValidationUtils.ensureNotEmpty;
-import static dev.langchain4j.model.zhipu.DefaultZhipuAiHelper.aiMessageFrom;
-import static dev.langchain4j.model.zhipu.DefaultZhipuAiHelper.finishReasonFrom;
-import static dev.langchain4j.model.zhipu.DefaultZhipuAiHelper.toTools;
-import static dev.langchain4j.model.zhipu.DefaultZhipuAiHelper.toZhipuAiMessages;
-import static dev.langchain4j.model.zhipu.DefaultZhipuAiHelper.tokenUsageFrom;
-import static dev.langchain4j.model.zhipu.chat.ToolChoiceMode.AUTO;
-import static dev.langchain4j.spi.ServiceHelper.loadFactories;
-import static java.util.Collections.singletonList;
-
-/**
- * Represents an ZhipuAi language model with a chat completion interface, such as glm-3-turbo and
- * glm-4. You can find description of parameters
- * <a href="https://open.bigmodel.cn/dev/api">here</a>.
- */
-public class ZhipuAiChatModel implements ChatLanguageModel {
-
-    private final String baseUrl;
-    private final Double temperature;
-    private final Double topP;
-    private final String model;
-    private final Integer maxRetries;
-    private final Integer maxToken;
-    private final ZhipuAiClient client;
-
-    @Builder
-    public ZhipuAiChatModel(String baseUrl, String apiKey, Double temperature, Double topP,
-            String model, Integer maxRetries, Integer maxToken, Boolean logRequests,
-            Boolean logResponses) {
-        this.baseUrl = getOrDefault(baseUrl, "https://open.bigmodel.cn/");
-        this.temperature = getOrDefault(temperature, 0.7);
-        this.topP = topP;
-        this.model = getOrDefault(model, ChatCompletionModel.GLM_4.toString());
-        this.maxRetries = getOrDefault(maxRetries, 3);
-        this.maxToken = getOrDefault(maxToken, 512);
-        this.client = ZhipuAiClient.builder().baseUrl(this.baseUrl).apiKey(apiKey)
-                .logRequests(getOrDefault(logRequests, false))
-                .logResponses(getOrDefault(logResponses, false)).build();
-    }
-
-    public static ZhipuAiChatModelBuilder builder() {
-        for (ZhipuAiChatModelBuilderFactory factories : loadFactories(
-                ZhipuAiChatModelBuilderFactory.class)) {
-            return factories.get();
-        }
-        return new ZhipuAiChatModelBuilder();
-    }
-
-    @Override
-    public Response<AiMessage> generate(List<ChatMessage> messages) {
-        return generate(messages, (ToolSpecification) null);
-    }
-
-    @Override
-    public Response<AiMessage> generate(List<ChatMessage> messages,
-            List<ToolSpecification> toolSpecifications) {
-        ensureNotEmpty(messages, "messages");
-
-        ChatCompletionRequest.Builder requestBuilder =
-                ChatCompletionRequest.builder().model(this.model).maxTokens(maxToken).stream(false)
-                        .topP(topP).toolChoice(AUTO).messages(toZhipuAiMessages(messages));
-
-        if (!isNullOrEmpty(toolSpecifications)) {
-            requestBuilder.tools(toTools(toolSpecifications));
-        }
-
-        ChatCompletionResponse response =
-                withRetry(() -> client.chatCompletion(requestBuilder.build()), maxRetries);
-        return Response.from(aiMessageFrom(response), tokenUsageFrom(response.getUsage()),
-                finishReasonFrom(response.getChoices().get(0).getFinishReason()));
-    }
-
-    @Override
-    public Response<AiMessage> generate(List<ChatMessage> messages,
-            ToolSpecification toolSpecification) {
-        return generate(messages,
-                toolSpecification != null ? singletonList(toolSpecification) : null);
-    }
-
-    public static class ZhipuAiChatModelBuilder {
-        public ZhipuAiChatModelBuilder() {}
-    }
-}

common/src/main/java/dev/langchain4j/provider/AzureModelFactory.java

@@ -1,51 +0,0 @@
-package dev.langchain4j.provider;
-
-import com.tencent.supersonic.common.pojo.ChatModelConfig;
-import com.tencent.supersonic.common.pojo.EmbeddingModelConfig;
-import dev.langchain4j.model.azure.AzureOpenAiChatModel;
-import dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel;
-import dev.langchain4j.model.chat.ChatLanguageModel;
-import dev.langchain4j.model.embedding.EmbeddingModel;
-import org.springframework.beans.factory.InitializingBean;
-import org.springframework.stereotype.Service;
-
-import java.time.Duration;
-
-@Service
-public class AzureModelFactory implements ModelFactory, InitializingBean {
-    public static final String PROVIDER = "AZURE";
-    public static final String DEFAULT_BASE_URL = "https://your-resource-name.openai.azure.com/";
-    public static final String DEFAULT_MODEL_NAME = "gpt-35-turbo";
-    public static final String DEFAULT_EMBEDDING_MODEL_NAME = "text-embedding-ada-002";
-
-    @Override
-    public ChatLanguageModel createChatModel(ChatModelConfig modelConfig) {
-        AzureOpenAiChatModel.Builder builder = AzureOpenAiChatModel.builder()
-                .endpoint(modelConfig.getBaseUrl()).apiKey(modelConfig.getApiKey())
-                .deploymentName(modelConfig.getModelName())
-                .temperature(modelConfig.getTemperature()).maxRetries(modelConfig.getMaxRetries())
-                .topP(modelConfig.getTopP())
-                .timeout(Duration.ofSeconds(
-                        modelConfig.getTimeOut() == null ? 0L : modelConfig.getTimeOut()))
-                .logRequestsAndResponses(
-                        modelConfig.getLogRequests() != null && modelConfig.getLogResponses());
-        return builder.build();
-    }
-
-    @Override
-    public EmbeddingModel createEmbeddingModel(EmbeddingModelConfig embeddingModelConfig) {
-        AzureOpenAiEmbeddingModel.Builder builder =
-                AzureOpenAiEmbeddingModel.builder().endpoint(embeddingModelConfig.getBaseUrl())
-                        .apiKey(embeddingModelConfig.getApiKey())
-                        .deploymentName(embeddingModelConfig.getModelName())
-                        .maxRetries(embeddingModelConfig.getMaxRetries())
-                        .logRequestsAndResponses(embeddingModelConfig.getLogRequests() != null
-                                && embeddingModelConfig.getLogResponses());
-        return builder.build();
-    }
-
-    @Override
-    public void afterPropertiesSet() {
-        ModelProvider.add(PROVIDER, this);
-    }
-}

common/src/main/java/dev/langchain4j/provider/DashscopeModelFactory.java

@@ -1,39 +0,0 @@
-package dev.langchain4j.provider;
-
-import com.tencent.supersonic.common.pojo.ChatModelConfig;
-import com.tencent.supersonic.common.pojo.EmbeddingModelConfig;
-import dev.langchain4j.model.chat.ChatLanguageModel;
-import dev.langchain4j.model.dashscope.QwenChatModel;
-import dev.langchain4j.model.dashscope.QwenEmbeddingModel;
-import dev.langchain4j.model.dashscope.QwenModelName;
-import dev.langchain4j.model.embedding.EmbeddingModel;
-import org.springframework.beans.factory.InitializingBean;
-import org.springframework.stereotype.Service;
-
-@Service
-public class DashscopeModelFactory implements ModelFactory, InitializingBean {
-    public static final String PROVIDER = "DASHSCOPE";
-    public static final String DEFAULT_BASE_URL = "https://dashscope.aliyuncs.com/api/v1";
-    public static final String DEFAULT_MODEL_NAME = QwenModelName.QWEN_PLUS;
-    public static final String DEFAULT_EMBEDDING_MODEL_NAME = "text-embedding-v2";
-
-    @Override
-    public ChatLanguageModel createChatModel(ChatModelConfig modelConfig) {
-        return QwenChatModel.builder().baseUrl(modelConfig.getBaseUrl())
-                .apiKey(modelConfig.getApiKey()).modelName(modelConfig.getModelName())
-                .temperature(modelConfig.getTemperature() == null ? 0L
-                        : modelConfig.getTemperature().floatValue())
-                .topP(modelConfig.getTopP()).enableSearch(modelConfig.getEnableSearch()).build();
-    }
-
-    @Override
-    public EmbeddingModel createEmbeddingModel(EmbeddingModelConfig embeddingModelConfig) {
-        return QwenEmbeddingModel.builder().apiKey(embeddingModelConfig.getApiKey())
-                .modelName(embeddingModelConfig.getModelName()).build();
-    }
-
-    @Override
-    public void afterPropertiesSet() {
-        ModelProvider.add(PROVIDER, this);
-    }
-}

common/src/main/java/dev/langchain4j/provider/DifyModelFactory.java

@@ -6,7 +6,7 @@ import com.tencent.supersonic.common.util.AESEncryptionUtil;
 import dev.langchain4j.model.chat.ChatLanguageModel;
 import dev.langchain4j.model.dify.DifyAiChatModel;
 import dev.langchain4j.model.embedding.EmbeddingModel;
-import dev.langchain4j.model.zhipu.ZhipuAiEmbeddingModel;
+import dev.langchain4j.model.openai.OpenAiEmbeddingModel;
 import org.springframework.beans.factory.InitializingBean;
 import org.springframework.stereotype.Service;
 
@@ -27,8 +27,9 @@ public class DifyModelFactory implements ModelFactory, InitializingBean {
 
     @Override
     public EmbeddingModel createEmbeddingModel(EmbeddingModelConfig embeddingModelConfig) {
-        return ZhipuAiEmbeddingModel.builder().baseUrl(embeddingModelConfig.getBaseUrl())
-                .apiKey(embeddingModelConfig.getApiKey()).model(embeddingModelConfig.getModelName())
+        return OpenAiEmbeddingModel.builder().baseUrl(embeddingModelConfig.getBaseUrl())
+                .apiKey(embeddingModelConfig.getApiKey())
+                .modelName(embeddingModelConfig.getModelName())
                 .maxRetries(embeddingModelConfig.getMaxRetries())
                 .logRequests(embeddingModelConfig.getLogRequests())
                 .logResponses(embeddingModelConfig.getLogResponses()).build();

common/src/main/java/dev/langchain4j/provider/QianfanModelFactory.java

@@ -1,47 +0,0 @@
-package dev.langchain4j.provider;
-
-import com.tencent.supersonic.common.pojo.ChatModelConfig;
-import com.tencent.supersonic.common.pojo.EmbeddingModelConfig;
-import dev.langchain4j.model.chat.ChatLanguageModel;
-import dev.langchain4j.model.embedding.EmbeddingModel;
-import dev.langchain4j.model.qianfan.QianfanChatModel;
-import dev.langchain4j.model.qianfan.QianfanEmbeddingModel;
-import org.springframework.beans.factory.InitializingBean;
-import org.springframework.stereotype.Service;
-
-@Service
-public class QianfanModelFactory implements ModelFactory, InitializingBean {
-
-    public static final String PROVIDER = "QIANFAN";
-    public static final String DEFAULT_BASE_URL = "https://aip.baidubce.com";
-    public static final String DEFAULT_MODEL_NAME = "Llama-2-70b-chat";
-
-    public static final String DEFAULT_EMBEDDING_MODEL_NAME = "Embedding-V1";
-    public static final String DEFAULT_ENDPOINT = "llama_2_70b";
-
-    @Override
-    public ChatLanguageModel createChatModel(ChatModelConfig modelConfig) {
-        return QianfanChatModel.builder().baseUrl(modelConfig.getBaseUrl())
-                .apiKey(modelConfig.getApiKey()).secretKey(modelConfig.getSecretKey())
-                .endpoint(modelConfig.getEndpoint()).modelName(modelConfig.getModelName())
-                .temperature(modelConfig.getTemperature()).topP(modelConfig.getTopP())
-                .maxRetries(modelConfig.getMaxRetries()).logRequests(modelConfig.getLogRequests())
-                .logResponses(modelConfig.getLogResponses()).build();
-    }
-
-    @Override
-    public EmbeddingModel createEmbeddingModel(EmbeddingModelConfig embeddingModelConfig) {
-        return QianfanEmbeddingModel.builder().baseUrl(embeddingModelConfig.getBaseUrl())
-                .apiKey(embeddingModelConfig.getApiKey())
-                .secretKey(embeddingModelConfig.getSecretKey())
-                .modelName(embeddingModelConfig.getModelName())
-                .maxRetries(embeddingModelConfig.getMaxRetries())
-                .logRequests(embeddingModelConfig.getLogRequests())
-                .logResponses(embeddingModelConfig.getLogResponses()).build();
-    }
-
-    @Override
-    public void afterPropertiesSet() {
-        ModelProvider.add(PROVIDER, this);
-    }
-}

common/src/main/java/dev/langchain4j/provider/ZhipuModelFactory.java

@@ -1,45 +0,0 @@
-package dev.langchain4j.provider;
-
-import com.tencent.supersonic.common.pojo.ChatModelConfig;
-import com.tencent.supersonic.common.pojo.EmbeddingModelConfig;
-import dev.langchain4j.model.chat.ChatLanguageModel;
-import dev.langchain4j.model.embedding.EmbeddingModel;
-import dev.langchain4j.model.zhipu.ChatCompletionModel;
-import dev.langchain4j.model.zhipu.ZhipuAiChatModel;
-import dev.langchain4j.model.zhipu.ZhipuAiEmbeddingModel;
-import org.springframework.beans.factory.InitializingBean;
-import org.springframework.stereotype.Service;
-
-import static java.time.Duration.ofSeconds;
-
-@Service
-public class ZhipuModelFactory implements ModelFactory, InitializingBean {
-    public static final String PROVIDER = "ZHIPU";
-    public static final String DEFAULT_BASE_URL = "https://open.bigmodel.cn/";
-    public static final String DEFAULT_MODEL_NAME = ChatCompletionModel.GLM_4.toString();
-    public static final String DEFAULT_EMBEDDING_MODEL_NAME = "embedding-2";
-
-    @Override
-    public ChatLanguageModel createChatModel(ChatModelConfig modelConfig) {
-        return ZhipuAiChatModel.builder().baseUrl(modelConfig.getBaseUrl())
-                .apiKey(modelConfig.getApiKey()).model(modelConfig.getModelName())
-                .temperature(modelConfig.getTemperature()).topP(modelConfig.getTopP())
-                .maxRetries(modelConfig.getMaxRetries()).logRequests(modelConfig.getLogRequests())
-                .logResponses(modelConfig.getLogResponses()).build();
-    }
-
-    @Override
-    public EmbeddingModel createEmbeddingModel(EmbeddingModelConfig embeddingModelConfig) {
-        return ZhipuAiEmbeddingModel.builder().baseUrl(embeddingModelConfig.getBaseUrl())
-                .apiKey(embeddingModelConfig.getApiKey()).model(embeddingModelConfig.getModelName())
-                .maxRetries(embeddingModelConfig.getMaxRetries()).callTimeout(ofSeconds(60))
-                .connectTimeout(ofSeconds(60)).writeTimeout(ofSeconds(60))
-                .readTimeout(ofSeconds(60)).logRequests(embeddingModelConfig.getLogRequests())
-                .logResponses(embeddingModelConfig.getLogResponses()).build();
-    }
-
-    @Override
-    public void afterPropertiesSet() {
-        ModelProvider.add(PROVIDER, this);
-    }
-}

common/src/main/java/dev/langchain4j/qianfan/spring/ChatModelProperties.java

@@ -1,21 +0,0 @@
-package dev.langchain4j.qianfan.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-
-@Getter
-@Setter
-class ChatModelProperties {
-    private String baseUrl;
-    private String apiKey;
-    private String secretKey;
-    private Double temperature;
-    private Integer maxRetries;
-    private Double topP;
-    private String modelName;
-    private String endpoint;
-    private String responseFormat;
-    private Double penaltyScore;
-    private Boolean logRequests;
-    private Boolean logResponses;
-}

common/src/main/java/dev/langchain4j/qianfan/spring/EmbeddingModelProperties.java

@@ -1,18 +0,0 @@
-package dev.langchain4j.qianfan.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-
-@Getter
-@Setter
-class EmbeddingModelProperties {
-    private String baseUrl;
-    private String apiKey;
-    private String secretKey;
-    private Integer maxRetries;
-    private String modelName;
-    private String endpoint;
-    private String user;
-    private Boolean logRequests;
-    private Boolean logResponses;
-}

common/src/main/java/dev/langchain4j/qianfan/spring/LanguageModelProperties.java

@@ -1,21 +0,0 @@
-package dev.langchain4j.qianfan.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-
-@Getter
-@Setter
-class LanguageModelProperties {
-    private String baseUrl;
-    private String apiKey;
-    private String secretKey;
-    private Double temperature;
-    private Integer maxRetries;
-    private Integer topK;
-    private Double topP;
-    private String modelName;
-    private String endpoint;
-    private Double penaltyScore;
-    private Boolean logRequests;
-    private Boolean logResponses;
-}

common/src/main/java/dev/langchain4j/qianfan/spring/Properties.java

@@ -1,29 +0,0 @@
-package dev.langchain4j.qianfan.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-import org.springframework.boot.context.properties.ConfigurationProperties;
-import org.springframework.boot.context.properties.NestedConfigurationProperty;
-
-@Getter
-@Setter
-@ConfigurationProperties(prefix = Properties.PREFIX)
-public class Properties {
-
-    static final String PREFIX = "langchain4j.qianfan";
-
-    @NestedConfigurationProperty
-    ChatModelProperties chatModel;
-
-    @NestedConfigurationProperty
-    ChatModelProperties streamingChatModel;
-
-    @NestedConfigurationProperty
-    LanguageModelProperties languageModel;
-
-    @NestedConfigurationProperty
-    LanguageModelProperties streamingLanguageModel;
-
-    @NestedConfigurationProperty
-    EmbeddingModelProperties embeddingModel;
-}

common/src/main/java/dev/langchain4j/qianfan/spring/QianfanAutoConfig.java

@@ -1,102 +0,0 @@
-package dev.langchain4j.qianfan.spring;
-
-import dev.langchain4j.model.qianfan.QianfanChatModel;
-import dev.langchain4j.model.qianfan.QianfanEmbeddingModel;
-import dev.langchain4j.model.qianfan.QianfanLanguageModel;
-import dev.langchain4j.model.qianfan.QianfanStreamingChatModel;
-import dev.langchain4j.model.qianfan.QianfanStreamingLanguageModel;
-import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
-import org.springframework.boot.context.properties.EnableConfigurationProperties;
-import org.springframework.context.annotation.Bean;
-import org.springframework.context.annotation.Configuration;
-
-import static dev.langchain4j.qianfan.spring.Properties.PREFIX;
-
-@Configuration
-@EnableConfigurationProperties(Properties.class)
-public class QianfanAutoConfig {
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".chat-model.api-key")
-    QianfanChatModel qianfanChatModel(Properties properties) {
-        ChatModelProperties chatModelProperties = properties.getChatModel();
-        return QianfanChatModel.builder().baseUrl(chatModelProperties.getBaseUrl())
-                .apiKey(chatModelProperties.getApiKey())
-                .secretKey(chatModelProperties.getSecretKey())
-                .endpoint(chatModelProperties.getEndpoint())
-                .penaltyScore(chatModelProperties.getPenaltyScore())
-                .modelName(chatModelProperties.getModelName())
-                .temperature(chatModelProperties.getTemperature())
-                .topP(chatModelProperties.getTopP())
-                .responseFormat(chatModelProperties.getResponseFormat())
-                .maxRetries(chatModelProperties.getMaxRetries())
-                .logRequests(chatModelProperties.getLogRequests())
-                .logResponses(chatModelProperties.getLogResponses()).build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".streaming-chat-model.api-key")
-    QianfanStreamingChatModel qianfanStreamingChatModel(Properties properties) {
-        ChatModelProperties chatModelProperties = properties.getStreamingChatModel();
-        return QianfanStreamingChatModel.builder().endpoint(chatModelProperties.getEndpoint())
-                .penaltyScore(chatModelProperties.getPenaltyScore())
-                .temperature(chatModelProperties.getTemperature())
-                .topP(chatModelProperties.getTopP()).baseUrl(chatModelProperties.getBaseUrl())
-                .apiKey(chatModelProperties.getApiKey())
-                .secretKey(chatModelProperties.getSecretKey())
-                .modelName(chatModelProperties.getModelName())
-                .responseFormat(chatModelProperties.getResponseFormat())
-                .logRequests(chatModelProperties.getLogRequests())
-                .logResponses(chatModelProperties.getLogResponses()).build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".language-model.api-key")
-    QianfanLanguageModel qianfanLanguageModel(Properties properties) {
-        LanguageModelProperties languageModelProperties = properties.getLanguageModel();
-        return QianfanLanguageModel.builder().endpoint(languageModelProperties.getEndpoint())
-                .penaltyScore(languageModelProperties.getPenaltyScore())
-                .topK(languageModelProperties.getTopK()).topP(languageModelProperties.getTopP())
-                .baseUrl(languageModelProperties.getBaseUrl())
-                .apiKey(languageModelProperties.getApiKey())
-                .secretKey(languageModelProperties.getSecretKey())
-                .modelName(languageModelProperties.getModelName())
-                .temperature(languageModelProperties.getTemperature())
-                .maxRetries(languageModelProperties.getMaxRetries())
-                .logRequests(languageModelProperties.getLogRequests())
-                .logResponses(languageModelProperties.getLogResponses()).build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".streaming-language-model.api-key")
-    QianfanStreamingLanguageModel qianfanStreamingLanguageModel(Properties properties) {
-        LanguageModelProperties languageModelProperties = properties.getStreamingLanguageModel();
-        return QianfanStreamingLanguageModel.builder()
-                .endpoint(languageModelProperties.getEndpoint())
-                .penaltyScore(languageModelProperties.getPenaltyScore())
-                .topK(languageModelProperties.getTopK()).topP(languageModelProperties.getTopP())
-                .baseUrl(languageModelProperties.getBaseUrl())
-                .apiKey(languageModelProperties.getApiKey())
-                .secretKey(languageModelProperties.getSecretKey())
-                .modelName(languageModelProperties.getModelName())
-                .temperature(languageModelProperties.getTemperature())
-                .maxRetries(languageModelProperties.getMaxRetries())
-                .logRequests(languageModelProperties.getLogRequests())
-                .logResponses(languageModelProperties.getLogResponses()).build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".embedding-model.api-key")
-    QianfanEmbeddingModel qianfanEmbeddingModel(Properties properties) {
-        EmbeddingModelProperties embeddingModelProperties = properties.getEmbeddingModel();
-        return QianfanEmbeddingModel.builder().baseUrl(embeddingModelProperties.getBaseUrl())
-                .endpoint(embeddingModelProperties.getEndpoint())
-                .apiKey(embeddingModelProperties.getApiKey())
-                .secretKey(embeddingModelProperties.getSecretKey())
-                .modelName(embeddingModelProperties.getModelName())
-                .user(embeddingModelProperties.getUser())
-                .maxRetries(embeddingModelProperties.getMaxRetries())
-                .logRequests(embeddingModelProperties.getLogRequests())
-                .logResponses(embeddingModelProperties.getLogResponses()).build();
-    }
-}

common/src/main/java/dev/langchain4j/zhipu/spring/ChatModelProperties.java

@@ -1,19 +0,0 @@
-package dev.langchain4j.zhipu.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-
-@Getter
-@Setter
-class ChatModelProperties {
-
-    String baseUrl;
-    String apiKey;
-    Double temperature;
-    Double topP;
-    String modelName;
-    Integer maxRetries;
-    Integer maxToken;
-    Boolean logRequests;
-    Boolean logResponses;
-}

common/src/main/java/dev/langchain4j/zhipu/spring/EmbeddingModelProperties.java

@@ -1,16 +0,0 @@
-package dev.langchain4j.zhipu.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-
-@Getter
-@Setter
-class EmbeddingModelProperties {
-
-    String baseUrl;
-    String apiKey;
-    String model;
-    Integer maxRetries;
-    Boolean logRequests;
-    Boolean logResponses;
-}

common/src/main/java/dev/langchain4j/zhipu/spring/Properties.java

@@ -1,23 +0,0 @@
-package dev.langchain4j.zhipu.spring;
-
-import lombok.Getter;
-import lombok.Setter;
-import org.springframework.boot.context.properties.ConfigurationProperties;
-import org.springframework.boot.context.properties.NestedConfigurationProperty;
-
-@Getter
-@Setter
-@ConfigurationProperties(prefix = Properties.PREFIX)
-public class Properties {
-
-    static final String PREFIX = "langchain4j.zhipu";
-
-    @NestedConfigurationProperty
-    ChatModelProperties chatModel;
-
-    @NestedConfigurationProperty
-    ChatModelProperties streamingChatModel;
-
-    @NestedConfigurationProperty
-    EmbeddingModelProperties embeddingModel;
-}

common/src/main/java/dev/langchain4j/zhipu/spring/ZhipuAutoConfig.java

@@ -1,53 +0,0 @@
-package dev.langchain4j.zhipu.spring;
-
-import dev.langchain4j.model.zhipu.ZhipuAiChatModel;
-import dev.langchain4j.model.zhipu.ZhipuAiEmbeddingModel;
-import dev.langchain4j.model.zhipu.ZhipuAiStreamingChatModel;
-import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
-import org.springframework.boot.context.properties.EnableConfigurationProperties;
-import org.springframework.context.annotation.Bean;
-import org.springframework.context.annotation.Configuration;
-
-import static dev.langchain4j.zhipu.spring.Properties.PREFIX;
-
-@Configuration
-@EnableConfigurationProperties(Properties.class)
-public class ZhipuAutoConfig {
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".chat-model.api-key")
-    ZhipuAiChatModel zhipuAiChatModel(Properties properties) {
-        ChatModelProperties chatModelProperties = properties.getChatModel();
-        return ZhipuAiChatModel.builder().baseUrl(chatModelProperties.getBaseUrl())
-                .apiKey(chatModelProperties.getApiKey()).model(chatModelProperties.getModelName())
-                .temperature(chatModelProperties.getTemperature())
-                .topP(chatModelProperties.getTopP()).maxRetries(chatModelProperties.getMaxRetries())
-                .maxToken(chatModelProperties.getMaxToken())
-                .logRequests(chatModelProperties.getLogRequests())
-                .logResponses(chatModelProperties.getLogResponses()).build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".streaming-chat-model.api-key")
-    ZhipuAiStreamingChatModel zhipuStreamingChatModel(Properties properties) {
-        ChatModelProperties chatModelProperties = properties.getStreamingChatModel();
-        return ZhipuAiStreamingChatModel.builder().baseUrl(chatModelProperties.getBaseUrl())
-                .apiKey(chatModelProperties.getApiKey()).model(chatModelProperties.getModelName())
-                .temperature(chatModelProperties.getTemperature())
-                .topP(chatModelProperties.getTopP()).maxToken(chatModelProperties.getMaxToken())
-                .logRequests(chatModelProperties.getLogRequests())
-                .logResponses(chatModelProperties.getLogResponses()).build();
-    }
-
-    @Bean
-    @ConditionalOnProperty(PREFIX + ".embedding-model.api-key")
-    ZhipuAiEmbeddingModel zhipuEmbeddingModel(Properties properties) {
-        EmbeddingModelProperties embeddingModelProperties = properties.getEmbeddingModel();
-        return ZhipuAiEmbeddingModel.builder().baseUrl(embeddingModelProperties.getBaseUrl())
-                .apiKey(embeddingModelProperties.getApiKey())
-                .model(embeddingModelProperties.getModel())
-                .maxRetries(embeddingModelProperties.getMaxRetries())
-                .logRequests(embeddingModelProperties.getLogRequests())
-                .logResponses(embeddingModelProperties.getLogResponses()).build();
-    }
-}

launchers/standalone/src/test/java/com/tencent/supersonic/provider/ModelProviderTest.java

@@ -8,20 +8,15 @@ import dev.langchain4j.data.embedding.Embedding;
 import dev.langchain4j.model.chat.ChatLanguageModel;
 import dev.langchain4j.model.embedding.EmbeddingModel;
 import dev.langchain4j.model.output.Response;
-import dev.langchain4j.provider.AzureModelFactory;
-import dev.langchain4j.provider.DashscopeModelFactory;
 import dev.langchain4j.provider.EmbeddingModelConstant;
 import dev.langchain4j.provider.InMemoryModelFactory;
 import dev.langchain4j.provider.ModelProvider;
 import dev.langchain4j.provider.OpenAiModelFactory;
-import dev.langchain4j.provider.QianfanModelFactory;
-import dev.langchain4j.provider.ZhipuModelFactory;
 import org.junit.jupiter.api.Disabled;
 import org.junit.jupiter.api.Test;
 import org.junit.jupiter.api.TestInstance;
 
 import static org.junit.Assert.assertNotNull;
-import static org.junit.jupiter.api.Assertions.assertThrows;
 
 @TestInstance(TestInstance.Lifecycle.PER_CLASS)
 @Disabled
@@ -40,65 +35,6 @@ public class ModelProviderTest extends BaseApplication {
         assertNotNull(response);
     }
 
-    @Test
-    public void test_qianfan_chat_model() {
-        ChatModelConfig modelConfig = new ChatModelConfig();
-        modelConfig.setProvider(QianfanModelFactory.PROVIDER);
-        modelConfig.setModelName(QianfanModelFactory.DEFAULT_MODEL_NAME);
-        modelConfig.setBaseUrl(QianfanModelFactory.DEFAULT_BASE_URL);
-        modelConfig.setSecretKey(ParameterConfig.DEMO);
-        modelConfig.setApiKey(ParameterConfig.DEMO);
-        modelConfig.setEndpoint(QianfanModelFactory.DEFAULT_ENDPOINT);
-
-        ChatLanguageModel chatModel = ModelProvider.getChatModel(modelConfig);
-        assertThrows(RuntimeException.class, () -> {
-            chatModel.generate("hi");
-        });
-    }
-
-    @Test
-    public void test_zhipu_chat_model() {
-        ChatModelConfig modelConfig = new ChatModelConfig();
-        modelConfig.setProvider(ZhipuModelFactory.PROVIDER);
-        modelConfig.setModelName(ZhipuModelFactory.DEFAULT_MODEL_NAME);
-        modelConfig.setBaseUrl(ZhipuModelFactory.DEFAULT_BASE_URL);
-        modelConfig.setApiKey("e2724491714b3b2a0274e987905f1001.5JyHgf4vbZVJ7gC5");
-
-        ChatLanguageModel chatModel = ModelProvider.getChatModel(modelConfig);
-        assertThrows(RuntimeException.class, () -> {
-            chatModel.generate("hi");
-        });
-    }
-
-    @Test
-    public void test_dashscope_chat_model() {
-        ChatModelConfig modelConfig = new ChatModelConfig();
-        modelConfig.setProvider(DashscopeModelFactory.PROVIDER);
-        modelConfig.setModelName(DashscopeModelFactory.DEFAULT_MODEL_NAME);
-        modelConfig.setBaseUrl(DashscopeModelFactory.DEFAULT_BASE_URL);
-        modelConfig.setEnableSearch(true);
-        modelConfig.setApiKey(ParameterConfig.DEMO);
-
-        ChatLanguageModel chatModel = ModelProvider.getChatModel(modelConfig);
-        assertThrows(RuntimeException.class, () -> {
-            chatModel.generate("hi");
-        });
-    }
-
-    @Test
-    public void test_azure_chat_model() {
-        ChatModelConfig modelConfig = new ChatModelConfig();
-        modelConfig.setProvider(AzureModelFactory.PROVIDER);
-        modelConfig.setModelName(AzureModelFactory.DEFAULT_MODEL_NAME);
-        modelConfig.setBaseUrl(AzureModelFactory.DEFAULT_BASE_URL);
-        modelConfig.setApiKey(ParameterConfig.DEMO);
-
-        ChatLanguageModel chatModel = ModelProvider.getChatModel(modelConfig);
-        assertThrows(RuntimeException.class, () -> {
-            chatModel.generate("hi");
-        });
-    }
-
     @Test
     public void test_in_memory_embedding_model() {
         EmbeddingModelConfig modelConfig = new EmbeddingModelConfig();
@@ -122,61 +58,4 @@ public class ModelProviderTest extends BaseApplication {
         Response<Embedding> embed = embeddingModel.embed("hi");
         assertNotNull(embed);
     }
-
-    @Test
-    public void test_azure_embedding_model() {
-        EmbeddingModelConfig modelConfig = new EmbeddingModelConfig();
-        modelConfig.setProvider(AzureModelFactory.PROVIDER);
-        modelConfig.setModelName(AzureModelFactory.DEFAULT_EMBEDDING_MODEL_NAME);
-        modelConfig.setBaseUrl(AzureModelFactory.DEFAULT_BASE_URL);
-        modelConfig.setApiKey(ParameterConfig.DEMO);
-
-        EmbeddingModel embeddingModel = ModelProvider.getEmbeddingModel(modelConfig);
-        assertThrows(RuntimeException.class, () -> {
-            embeddingModel.embed("hi");
-        });
-    }
-
-    @Test
-    public void test_dashscope_embedding_model() {
-        EmbeddingModelConfig modelConfig = new EmbeddingModelConfig();
-        modelConfig.setProvider(DashscopeModelFactory.PROVIDER);
-        modelConfig.setModelName(DashscopeModelFactory.DEFAULT_EMBEDDING_MODEL_NAME);
-        modelConfig.setBaseUrl(DashscopeModelFactory.DEFAULT_BASE_URL);
-        modelConfig.setApiKey(ParameterConfig.DEMO);
-
-        EmbeddingModel embeddingModel = ModelProvider.getEmbeddingModel(modelConfig);
-        assertThrows(RuntimeException.class, () -> {
-            embeddingModel.embed("hi");
-        });
-    }
-
-    @Test
-    public void test_qianfan_embedding_model() {
-        EmbeddingModelConfig modelConfig = new EmbeddingModelConfig();
-        modelConfig.setProvider(QianfanModelFactory.PROVIDER);
-        modelConfig.setModelName(QianfanModelFactory.DEFAULT_EMBEDDING_MODEL_NAME);
-        modelConfig.setBaseUrl(QianfanModelFactory.DEFAULT_BASE_URL);
-        modelConfig.setApiKey(ParameterConfig.DEMO);
-        modelConfig.setSecretKey(ParameterConfig.DEMO);
-
-        EmbeddingModel embeddingModel = ModelProvider.getEmbeddingModel(modelConfig);
-        assertThrows(RuntimeException.class, () -> {
-            embeddingModel.embed("hi");
-        });
-    }
-
-    @Test
-    public void test_zhipu_embedding_model() {
-        EmbeddingModelConfig modelConfig = new EmbeddingModelConfig();
-        modelConfig.setProvider(ZhipuModelFactory.PROVIDER);
-        modelConfig.setModelName(ZhipuModelFactory.DEFAULT_EMBEDDING_MODEL_NAME);
-        modelConfig.setBaseUrl(ZhipuModelFactory.DEFAULT_BASE_URL);
-        modelConfig.setApiKey("e2724491714b3b2a0274e987905f1001.5JyHgf4vbZVJ7gC5");
-
-        EmbeddingModel embeddingModel = ModelProvider.getEmbeddingModel(modelConfig);
-        assertThrows(RuntimeException.class, () -> {
-            embeddingModel.embed("hi");
-        });
-    }
 }

pom.xml

@@ -146,31 +146,11 @@
                 <artifactId>langchain4j-embeddings-bge-small-zh</artifactId>
                 <version>${langchain4j.embedding.version}</version>
             </dependency>
-            <dependency>
-                <groupId>dev.langchain4j</groupId>
-                <artifactId>langchain4j-azure-open-ai</artifactId>
-                <version>${langchain4j.version}</version>
-            </dependency>
             <dependency>
                 <groupId>dev.langchain4j</groupId>
                 <artifactId>langchain4j-embeddings-all-minilm-l6-v2-q</artifactId>
                 <version>${langchain4j.embedding.version}</version>
             </dependency>
-            <dependency>
-                <groupId>dev.langchain4j</groupId>
-                <artifactId>langchain4j-qianfan</artifactId>
-                <version>${langchain4j.version}</version>
-            </dependency>
-            <dependency>
-                <groupId>dev.langchain4j</groupId>
-                <artifactId>langchain4j-zhipu-ai</artifactId>
-                <version>${langchain4j.version}</version>
-            </dependency>
-            <dependency>
-                <groupId>dev.langchain4j</groupId>
-                <artifactId>langchain4j-dashscope</artifactId>
-                <version>${langchain4j.version}</version>
-            </dependency>
             <dependency>
                 <groupId>dev.langchain4j</groupId>
                 <artifactId>langchain4j-milvus</artifactId>
@@ -186,11 +166,6 @@
                 <artifactId>langchain4j-pgvector</artifactId>
                 <version>${langchain4j.version}</version>
             </dependency>
-            <dependency>
-                <groupId>dev.langchain4j</groupId>
-                <artifactId>langchain4j-chatglm</artifactId>
-                <version>${langchain4j.version}</version>
-            </dependency>
             <dependency>
                 <groupId>dev.langchain4j</groupId>
                 <artifactId>langchain4j-ollama</artifactId>

webapp/packages/chat-sdk/src/common/constants.ts

@@ -81,6 +81,7 @@ export enum MsgContentTypeEnum {
   METRIC_TREND = 'METRIC_TREND',
   METRIC_BAR = 'METRIC_BAR',
   MARKDOWN = 'MARKDOWN',
+  METRIC_PIE = 'METRIC_PIE',
 }
 
 export enum ChatContextTypeQueryTypeEnum {

webapp/packages/chat-sdk/src/components/ChatItem/ExecuteItem.tsx

@@ -8,6 +8,7 @@ import Loading from './Loading';
 import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
 import { solarizedlight } from 'react-syntax-highlighter/dist/esm/styles/prism';
 import React, { ReactNode, useState } from 'react';
+import ReactMarkdown from 'react-markdown';
 
 type Props = {
   queryId?: number;
@@ -122,9 +123,11 @@ const ExecuteItem: React.FC<Props> = ({
               )}
             </div>
             <div>
-              {[MsgContentTypeEnum.METRIC_TREND, MsgContentTypeEnum.METRIC_BAR].includes(
-                msgContentType as MsgContentTypeEnum
-              ) && (
+              {[
+                MsgContentTypeEnum.METRIC_TREND,
+                MsgContentTypeEnum.METRIC_BAR,
+                MsgContentTypeEnum.METRIC_PIE,
+              ].includes(msgContentType as MsgContentTypeEnum) && (
                 <Switch
                   checkedChildren="表格"
                   unCheckedChildren="表格"
@@ -151,7 +154,7 @@ const ExecuteItem: React.FC<Props> = ({
           {data.textSummary && (
             <p className={`${prefixCls}-step-title`}>
               <span style={{ marginRight: 5 }}>总结:</span>
-              {data.textSummary}
+              <ReactMarkdown>{data.textSummary}</ReactMarkdown>
             </p>
           )}
 

webapp/packages/chat-sdk/src/components/ChatMsg/Bar/index.tsx

@@ -23,7 +23,7 @@ import { useExportByEcharts } from '../../../hooks';
 
 type Props = {
   data: MsgDataType;
-  question: string;
+  question?: string;
   triggerResize?: boolean;
   loading: boolean;
   metricField: ColumnType;
@@ -32,7 +32,7 @@ type Props = {
 
 const BarChart: React.FC<Props> = ({
   data,
-  question,
+  question="",
   triggerResize,
   loading,
   metricField,

webapp/packages/chat-sdk/src/components/ChatMsg/Pie/PieChart.tsx

@@ -0,0 +1,123 @@
+import { PREFIX_CLS, THEME_COLOR_LIST } from '../../../common/constants';
+import { MsgDataType } from '../../../common/type';
+import { formatByDecimalPlaces, getFormattedValue } from '../../../utils/utils';
+import type { ECharts } from 'echarts';
+import * as echarts from 'echarts';
+import { useEffect, useRef } from 'react';
+import { ColumnType } from '../../../common/type';
+
+type Props = {
+  data: MsgDataType;
+  metricField: ColumnType;
+  categoryField: ColumnType;
+  triggerResize?: boolean;
+};
+
+const PieChart: React.FC<Props> = ({
+  data,
+  metricField,
+  categoryField,
+  triggerResize,
+}) => {
+  const chartRef = useRef<any>();
+  const instanceRef = useRef<ECharts>();
+
+  const { queryResults } = data;
+  const categoryColumnName = categoryField?.bizName || '';
+  const metricColumnName = metricField?.bizName || '';
+
+  const renderChart = () => {
+    let instanceObj: any;
+    if (!instanceRef.current) {
+      instanceObj = echarts.init(chartRef.current);
+      instanceRef.current = instanceObj;
+    } else {
+      instanceObj = instanceRef.current;
+    }
+
+    const data = queryResults || [];
+    const seriesData = data.map((item, index) => {
+      const value = item[metricColumnName];
+      const name = item[categoryColumnName] !== undefined ? item[categoryColumnName] : '未知';
+      return {
+        name,
+        value,
+        itemStyle: {
+          color: THEME_COLOR_LIST[index % THEME_COLOR_LIST.length],
+        },
+      };
+    });
+
+    instanceObj.setOption({
+      tooltip: {
+        trigger: 'item',
+        formatter: function (params: any) {
+          const value = params.value;
+          return `${params.name}: ${
+            metricField.dataFormatType === 'percent'
+              ? `${formatByDecimalPlaces(
+                  metricField.dataFormat?.needMultiply100 ? +value * 100 : value,
+                  metricField.dataFormat?.decimalPlaces || 2
+                )}%`
+              : getFormattedValue(value)
+          }`;
+        },
+      },
+      legend: {
+        orient: 'vertical',
+        left: 'left',
+        type: 'scroll',
+        data: seriesData.map(item => item.name),
+        selectedMode: true,
+        textStyle: {
+          color: '#666',
+        },
+      },
+      series: [
+        {
+          name: '占比',
+          type: 'pie',
+          radius: ['40%', '70%'],
+          avoidLabelOverlap: false,
+          itemStyle: {
+            borderRadius: 10,
+            borderColor: '#fff',
+            borderWidth: 2,
+          },
+          label: {
+            show: false,
+            position: 'center',
+          },
+          emphasis: {
+            label: {
+              show: true,
+              fontSize: '14',
+              fontWeight: 'bold',
+            },
+          },
+          labelLine: {
+            show: false,
+          },
+          data: seriesData,
+        },
+      ],
+    });
+    instanceObj.resize();
+  };
+
+  useEffect(() => {
+    if (queryResults && queryResults.length > 0) {
+      renderChart();
+    }
+  }, [queryResults, metricField, categoryField]);
+
+  useEffect(() => {
+    if (triggerResize && instanceRef.current) {
+      instanceRef.current.resize();
+    }
+  }, [triggerResize]);
+
+  return <div className={`${PREFIX_CLS}-pie-chart`} ref={chartRef} />;
+};
+
+export default PieChart;

webapp/packages/chat-sdk/src/components/ChatMsg/Pie/index.tsx

@@ -0,0 +1,88 @@
+import { PREFIX_CLS } from '../../../common/constants';
+import { MsgDataType } from '../../../common/type';
+import { useRef, useState } from 'react';
+import NoPermissionChart from '../NoPermissionChart';
+import { ColumnType } from '../../../common/type';
+import { Spin, Select } from 'antd';
+import PieChart from './PieChart';
+import Bar from '../Bar';
+
+type Props = {
+  data: MsgDataType;
+  question: string;
+  triggerResize?: boolean;
+  loading: boolean;
+  metricField: ColumnType;
+  categoryField: ColumnType;
+  onApplyAuth?: (model: string) => void;
+};
+
+const metricChartSelectOptions = [
+  {
+    value: 'pie',
+    label: '饼图',
+  },
+  {
+    value: 'bar',
+    label: '柱状图',
+  },
+];
+
+const Pie: React.FC<Props> = ({
+  data,
+  question,
+  triggerResize,
+  loading,
+  metricField,
+  categoryField,
+  onApplyAuth,
+}) => {
+  const [chartType, setChartType] = useState('pie');
+  const { entityInfo } = data;
+
+  if (metricField && !metricField?.authorized) {
+    return (
+      <NoPermissionChart
+        model={entityInfo?.dataSetInfo?.name || ''}
+        chartType="pieChart"
+        onApplyAuth={onApplyAuth}
+      />
+    );
+  }
+
+  const prefixCls = `${PREFIX_CLS}-pie`;
+
+  return (
+    <div className={prefixCls}>
+      <div className={`${prefixCls}-metric-fields ${prefixCls}-metric-field-single`}>
+        {question}
+      </div>
+      <div className={`${prefixCls}-select-options`}>
+        <Select
+          defaultValue="pie"
+          bordered={false}
+          options={metricChartSelectOptions}
+          onChange={(value: string) => setChartType(value)}
+        />
+      </div>
+      {chartType === 'pie' ? (
+        <PieChart
+          data={data}
+          metricField={metricField}
+          categoryField={categoryField}
+          triggerResize={triggerResize}
+        />
+      ) : (
+        <Bar
+          data={data}
+          triggerResize={triggerResize}
+          loading={loading}
+          metricField={metricField}
+          onApplyAuth={onApplyAuth}
+        />
+      )}
+    </div>
+  );
+};
+
+export default Pie;

webapp/packages/chat-sdk/src/components/ChatMsg/Pie/style.less

@@ -0,0 +1,43 @@
+@import '../../../styles/index.less';
+
+@pie-prefix-cls: ~'@{prefix-cls}-pie';
+
+.@{pie-prefix-cls} {
+  &-select-options {
+    display: flex;
+    justify-content: flex-end;
+  }
+
+  &-chart {
+    width: 100%;
+    height: 400px;
+    min-height: 400px;
+  }
+
+  &-metric-fields {
+    display: flex;
+    align-items: baseline;
+    flex-wrap: wrap;
+    column-gap: 8px;
+    row-gap: 12px;
+  }
+
+  &-metric-field-single {
+    padding-left: 0;
+    font-weight: 500;
+    cursor: default;
+    font-size: 15px;
+    color: var(--text-color);
+
+    &:hover {
+      color: var(--text-color);
+    }
+  }
+
+  &-indicator-name {
+    font-size: 14px;
+    color: var(--text-color);
+    font-weight: 500;
+    margin-top: 2px;
+  }
+}

webapp/packages/chat-sdk/src/components/ChatMsg/index.tsx

@@ -12,6 +12,7 @@ import Text from './Text';
 import DrillDownDimensions from '../DrillDownDimensions';
 import MetricOptions from '../MetricOptions';
 import { isMobile } from '../../utils/utils';
+import Pie from './Pie';
 
 type Props = {
   queryId?: number;
@@ -120,6 +121,16 @@ const ChatMsg: React.FC<Props> = ({
       return MsgContentTypeEnum.METRIC_TREND;
     }
 
+    const isMetricPie =
+      metricFields.length > 0 &&
+      metricFields?.length === 1 &&
+      (isMobile ? dataSource?.length <= 5 : dataSource?.length <= 10) &&
+      dataSource.every(item => item[metricFields[0].bizName] > 0);
+
+    if (isMetricPie) {
+      return MsgContentTypeEnum.METRIC_PIE;
+    }
+
     const isMetricBar =
       categoryField?.length > 0 &&
       metricFields?.length === 1 &&
@@ -148,7 +159,7 @@ const ChatMsg: React.FC<Props> = ({
         [queryColumns.length > 5 ? 'width' : 'minWidth']: queryColumns.length * 150,
       };
     }
-    if (type === MsgContentTypeEnum.METRIC_TREND) {
+    if (type === MsgContentTypeEnum.METRIC_TREND || type === MsgContentTypeEnum.METRIC_PIE) {
       return { width: 'calc(100vw - 410px)' };
     }
   };
@@ -213,6 +224,21 @@ const ChatMsg: React.FC<Props> = ({
             metricField={metricFields[0]}
           />
         );
+      case MsgContentTypeEnum.METRIC_PIE:
+        const categoryField = columns.find(item => item.showType === 'CATEGORY');
+        if (!categoryField) {
+          return null;
+        }
+        return (
+          <Pie
+            data={{ ...data, queryColumns: columns, queryResults: dataSource }}
+            question={question}
+            triggerResize={triggerResize}
+            loading={loading}
+            metricField={metricFields[0]}
+            categoryField={categoryField}
+          />
+        );
       case MsgContentTypeEnum.MARKDOWN:
         return (
           <div style={{ maxHeight: 800 }}>

webapp/packages/chat-sdk/src/styles/index.less

@@ -16,6 +16,8 @@
 
 @import "../components/ChatMsg/MetricTrend/style.less";
 
+@import "../components/ChatMsg/Pie/style.less";
+
 @import "../components/ChatMsg/ApplyAuth/style.less";
 
 @import "../components/ChatMsg/NoPermissionChart/style.less";