Compare commits

3 Commits

Author SHA1 Message Date
Ttt
fa93d4ffe0 feat:数据库持久化 2026-03-13 22:56:19 +08:00
Ttt
d00e3ce11e feat:带记忆体的简单聊天AI智能体 2026-03-13 21:25:23 +08:00
xiang
06d5b6ca63 feat:langchain4j接入 2026-03-12 23:58:02 +08:00
31 changed files with 842 additions and 131 deletions

91
pom.xml
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@@ -29,13 +29,14 @@
<encoding>UTF-8</encoding>
<guava.version>16.0.1</guava.version>
<mybatis-spring-boot.version>2.3.1</mybatis-spring-boot.version>
<mybatis-plus-spring-boot.version>3.5.14</mybatis-plus-spring-boot.version>
<mybatis-plus-spring-boot.version>3.5.5</mybatis-plus-spring-boot.version>
<mysql.version>8.0.33</mysql.version>
<lombok.version>1.18.30</lombok.version>
<spring-data-redis.version>3.23.6</spring-data-redis.version>
<rocketmq.version>2.2.3</rocketmq.version>
<spring.authorization.server.version>0.4.0</spring.authorization.server.version>
<springai.alibaba.version>1.0.0.2</springai.alibaba.version>
<langchain.version>1.12.2</langchain.version>
</properties>
<repositories>
@@ -91,70 +92,66 @@
<type>pom</type>
<scope>import</scope>
</dependency>
<!-- Spring AI -->
<!-- <dependency>-->
<!-- <groupId>org.springframework.ai</groupId>-->
<!-- <artifactId>spring-ai-bom</artifactId>-->
<!-- <version>${spring.ai.version}</version>-->
<!-- <type>pom</type>-->
<!-- <scope>import</scope>-->
<!-- </dependency>-->
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-bom</artifactId>
<type>pom</type>
<scope>import</scope>
<version>${springai.alibaba.version}</version>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<!-- Source: https://mvnrepository.com/artifact/dev.langchain4j/langchain4j-open-ai -->
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
<version>${springai.alibaba.version}</version>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-open-ai</artifactId>
<version>${langchain.version}</version>
<scope>compile</scope>
</dependency>
<!-- Source: https://mvnrepository.com/artifact/dev.langchain4j/langchain4j -->
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-graph-core</artifactId>
<version>${springai.alibaba.version}</version>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j</artifactId>
<version>${langchain.version}</version>
<scope>compile</scope>
</dependency>
<!-- Source: https://mvnrepository.com/artifact/dev.langchain4j/langchain4j-ollama -->
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-starter-memory-jdbc</artifactId>
<version>${springai.alibaba.version}</version>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-ollama</artifactId>
<version>${langchain.version}</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus-spring-boot3-starter</artifactId>
<version>${mybatis-plus-spring-boot.version}</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>${mysql.version}</version>
</dependency>
<!-- <dependency>-->
<!-- <groupId>org.springframework.ai</groupId>-->
<!-- <artifactId>spring-ai-pdf-document-reader</artifactId>-->
<!-- <version>${spring.ai.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>org.springframework.ai</groupId>-->
<!-- <artifactId>spring-ai-pgvector-store</artifactId>-->
<!-- <version>${spring.ai.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>org.springframework.ai</groupId>-->
<!-- <artifactId>spring-ai-pgvector-store-spring-boot-starter</artifactId>-->
<!-- <version>${spring.ai.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>org.springframework.ai</groupId>-->
<!-- <artifactId>spring-ai-tika-document-reader</artifactId>-->
<!-- <version>${spring.ai.version}</version>-->
<!-- </dependency>-->
<!-- collections -->
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>32.1.3-jre</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-collections4</artifactId>
<version>4.2</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>3.15.0</version>
</dependency>
<!-- JSON -->
<dependency>
<groupId>com.alibaba.fastjson2</groupId>
<artifactId>fastjson2</artifactId>
<version>2.0.51</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>

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@@ -3,7 +3,10 @@ package com.xiang;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.EnableAutoConfiguration;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.context.properties.ConfigurationPropertiesScan;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.ConfigurableApplicationContext;
import org.springframework.core.env.Environment;

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@@ -1,40 +1,22 @@
package com.xiang.xsa.xservice.ai.server;
import com.xiang.xservice.ai.agent.BaseAgent;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
import lombok.RequiredArgsConstructor;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.SimpleLoggerAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;
@RestController
@RequiredArgsConstructor
public class ChatController {
private final ChatClient chatClient;
private final ChatMemory chatMemory;
private final BaseAgent baseAgent;
@PostMapping("/chat")
public String chatDemo(@RequestParam("question") String question) {
return chatClient.prompt(question).call().content();
@GetMapping("/chat")
public String chatDemo(@RequestParam("question") String question, @RequestParam("id") Long id) {
baseAgent.chat(ModelTypeEnum.OPEN_AI, id, question);
return "321";
}
@PostMapping(value = "/chatWithFlux")
public Flux<String> chatWithFlux(@RequestParam("question") String question) {
return chatClient.prompt(question).stream().content();
}
@PostMapping("/chatWithConversionId")
public String chatWithConversionId(@RequestParam("sessionId") String sessionId, @RequestParam("question") String question) {
return chatClient.prompt()
.user(question)
.advisors(
MessageChatMemoryAdvisor.builder(chatMemory).conversationId(sessionId).build(), new SimpleLoggerAdvisor()
)
.call().content();
}
}

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@@ -1,16 +1,15 @@
spring:
datasource:
url: jdbc:mysql://rm-bp15t34gqx62jm069ro.mysql.rds.aliyuncs.com:3306/xservice-ai-center?useUnicode=true&characterEncoding=utf-8&serverTimezone=Asia/Shanghai&allowMultiQueries=true
url: jdbc:mysql://120.27.153.87:3306/xe-service-ai?useUnicode=true&characterEncoding=utf-8&serverTimezone=Asia/Shanghai&allowMultiQueries=true
username: root
password: xb#UWqnhH24&XpX
password: sdkljfikdfn@123
driver-class-name: com.mysql.cj.jdbc.Driver
ai:
dashscope:
api-key: sk-07353fd191074c9c930b134230ba88ea
chat:
options:
model: qwen-plus
http:
connect-timeout: 30s
read-timeout: 60s
ai:
openai:
configs:
bai-lian:
apiKey: sk-70cb426d7d1e4b54b4ffe71022e7d815
modelName: qwen3.5-plus
baseUrl: https://dashscope.aliyuncs.com/compatible-mode/v1

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@@ -5,6 +5,11 @@ spring:
profiles:
active: local
cloud:
nacos:
config:
import-check:
enabled: false
server:
port: 38020
@@ -14,4 +19,9 @@ server:
charset: UTF-8
enabled: true
force: true
mybatis:
mapper-locations:
- classpath*:mapper/*/*.xml
configuration:
map-underscore-to-camel-case: true

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@@ -0,0 +1,7 @@
package com.xiang.xservice.ai.agent;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
public interface BaseAgent {
void chat(ModelTypeEnum modelType, Long memoryId, String message);
}

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@@ -0,0 +1,70 @@
package com.xiang.xservice.ai.agent;
import com.google.common.collect.Lists;
import com.xiang.xservice.ai.config.OpenAIBaseConfig;
import com.xiang.xservice.ai.config.OpenAIConfig;
import com.xiang.xservice.ai.core.assistant.Assistant;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
import com.xiang.xservice.ai.core.handler.MyStreamingHandler;
import com.xiang.xservice.ai.core.route.TaskRouter;
import com.xiang.xservice.ai.core.storage.DbPersistentStore;
import com.xiang.xservice.ai.core.storage.MemoryPersistentStore;
import com.xiang.xservice.ai.repository.manage.IAiSimpleChatMessageManage;
import dev.langchain4j.data.message.SystemMessage;
import dev.langchain4j.data.message.UserMessage;
import dev.langchain4j.memory.chat.ChatMemoryProvider;
import dev.langchain4j.memory.chat.MessageWindowChatMemory;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.service.AiServices;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
@Service
@RequiredArgsConstructor
public class SimpleChatAgent implements BaseAgent {
private final TaskRouter router;
private final OpenAIBaseConfig openAIBaseConfig;
private final IAiSimpleChatMessageManage aiSimpleChatMessageManage;
@Override
public void chat(ModelTypeEnum modelType, Long id, String message) {
DbPersistentStore store = new DbPersistentStore(aiSimpleChatMessageManage);
ChatMemoryProvider chatMemoryProvider = memoryId -> MessageWindowChatMemory.builder()
.id(memoryId)
.maxMessages(10)
.chatMemoryStore(store)
.build();
OpenAIConfig openAIConfig = openAIBaseConfig.getConfigs().get("bai-lian");
ModelConfig modelConfig = ModelConfig.builder()
.baseUrl(openAIConfig.getBaseUrl())
.apiKey(openAIConfig.getApiKey())
.maxRetries(openAIConfig.getMaxRetries())
.modelName(openAIConfig.getModelName())
.temperature(openAIConfig.getTemperature())
.build();
StreamingChatModel chat = router.route(ModelStrategyEnum.CHAT, modelType.getModelType(), modelConfig);
if (chat == null) {
throw new RuntimeException("chat model route failed");
}
Assistant assistant = AiServices.builder(Assistant.class)
.streamingChatModel(chat)
.chatMemoryProvider(chatMemoryProvider)
.build();
UserMessage userMessage = new UserMessage(message);
SystemMessage systemMessage = new SystemMessage("你是一个能够与人聊天的AI智能助手名字叫龙虾");
assistant.chat(id, Lists.newArrayList(systemMessage, userMessage))
.onPartialResponse(System.out::print)
.onCompleteResponse(res -> System.out.println("\n完成"))
.onToolExecuted(error -> System.out.println("\n错误"))
.ignoreErrors()
.start();
}
}

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@@ -1,46 +0,0 @@
package com.xiang.xservice.ai.config;
import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatOptions;
import com.alibaba.cloud.ai.memory.jdbc.MysqlChatMemoryRepository;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.SimpleLoggerAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.MessageWindowChatMemory;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.jdbc.core.JdbcTemplate;
/**
* 初始化llm客户端
*/
@Configuration
public class LlmClientConfig {
private static final String DEFAULT_PROMPT = "你是一个友好的AI助手可以根据用户提出的问题进行解答";
@Bean
public ChatClient initChatCLient(ChatClient.Builder charClientBuilder, ChatMemory chatMemory) {
return charClientBuilder
.defaultSystem(DEFAULT_PROMPT)
.defaultAdvisors(
new SimpleLoggerAdvisor(),
MessageChatMemoryAdvisor.builder(chatMemory).build()
)
.defaultOptions(
DashScopeChatOptions.builder().withTemperature(1.2).build()
).build();
}
@Bean
public ChatMemory initChatMemory(JdbcTemplate jdbcTemplate) {
return MessageWindowChatMemory.builder()
.chatMemoryRepository(MysqlChatMemoryRepository.mysqlBuilder()
.jdbcTemplate(jdbcTemplate)
.build())
.maxMessages(100)
.build();
}
}

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@@ -0,0 +1,18 @@
package com.xiang.xservice.ai.config;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Configuration;
import java.util.Map;
@Data
@NoArgsConstructor
@AllArgsConstructor
@Configuration
@ConfigurationProperties(prefix = "ai.openai")
public class OpenAIBaseConfig {
private Map<String, OpenAIConfig> configs;
}

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@@ -0,0 +1,40 @@
package com.xiang.xservice.ai.config;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.springframework.boot.context.properties.ConfigurationProperties;
@Data
@AllArgsConstructor
@NoArgsConstructor
public class OpenAIConfig {
/**
* url
*/
private String baseUrl;
/**
* api-key
*/
private String apiKey;
/**
* 模型名称
*/
private String modelName;
/**
* 最大重试次数
*/
private Integer maxRetries;
/**
* 限制token数量
*/
private Integer maxToken;
/**
* 温度
*/
private Double temperature;
}

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@@ -0,0 +1,12 @@
package com.xiang.xservice.ai.core.assistant;
import dev.langchain4j.data.message.ChatMessage;
import dev.langchain4j.service.MemoryId;
import dev.langchain4j.service.TokenStream;
import dev.langchain4j.service.UserMessage;
import java.util.List;
public interface Assistant {
TokenStream chat(@MemoryId Object memoryId, @UserMessage List<ChatMessage> messages);
}

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@@ -0,0 +1,42 @@
package com.xiang.xservice.ai.core.entity;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@AllArgsConstructor
@NoArgsConstructor
@Builder
public class ModelConfig {
/**
* url
*/
private String baseUrl;
/**
* api-key
*/
private String apiKey;
/**
* 模型名称
*/
private String modelName;
/**
* 最大重试次数
*/
private Integer maxRetries;
/**
* 限制token数量
*/
private Integer maxTokens;
/**
* 温度
*/
private Double temperature;
}

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@@ -0,0 +1,17 @@
package com.xiang.xservice.ai.core.enums;
import lombok.AllArgsConstructor;
import lombok.Getter;
@Getter
@AllArgsConstructor
public enum ModelStrategyEnum {
CHAT("CHAT_MODEL", "聊天模型"),
REASON("REASON_MODEL", "逻辑推理模型"),
CODE("CODE_MODEL", "代码模型"),
;
private final String name;
private final String desc;
}

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@@ -0,0 +1,16 @@
package com.xiang.xservice.ai.core.enums;
import lombok.AllArgsConstructor;
import lombok.Getter;
@Getter
@AllArgsConstructor
public enum ModelTypeEnum {
OPEN_AI("open_ai", "云端部署的支持Open-AI的模型"),
OLLAMA("ollama", "本地部署的Ollama模型"),
;
private final String modelType;
private final String description;
}

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@@ -0,0 +1,29 @@
package com.xiang.xservice.ai.core.handler;
import dev.langchain4j.model.StreamingResponseHandler;
import dev.langchain4j.model.chat.response.ChatResponse;
import dev.langchain4j.model.chat.response.StreamingChatResponseHandler;
import org.springframework.stereotype.Component;
@Component
public class MyStreamingHandler implements StreamingChatResponseHandler{
private StringBuilder builder = new StringBuilder();
@Override
public void onPartialResponse(String partialResponse) {
// 每生成一个 token 或 chunk 的回调
builder.append(partialResponse);
System.out.print(partialResponse); // 实时打印
}
@Override
public void onCompleteResponse(ChatResponse completeResponse) {
// 完整响应生成完成
System.out.println("\n生成完成");
System.out.println("最终输出: " + completeResponse.aiMessage().text());
}
@Override
public void onError(Throwable error) {
error.printStackTrace();
}
}

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@@ -0,0 +1,28 @@
package com.xiang.xservice.ai.core.provider;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
public interface BaseProvider {
/**
* providerName
* @return
*/
String providerName();
/**
* 创建model
* @param config model配置文件
* @return ChatModel
*/
StreamingChatModel build(ModelConfig config);
/**
* 用于标记这个 Provider 是否适合某个 TaskType
* @param taskType ModelStrategyEnum
* @return true 支持 false不支持
*/
boolean support(ModelStrategyEnum taskType);
}

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@@ -0,0 +1,34 @@
package com.xiang.xservice.ai.core.provider;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.model.ollama.OllamaChatModel;
import dev.langchain4j.model.ollama.OllamaStreamingChatModel;
import org.springframework.stereotype.Component;
@Component
public class OllamaLlmProvider implements BaseProvider{
@Override
public String providerName() {
return ModelTypeEnum.OLLAMA.getModelType();
}
@Override
public StreamingChatModel build(ModelConfig config) {
return OllamaStreamingChatModel.builder()
.baseUrl(config.getBaseUrl())
.modelName(config.getModelName())
.temperature(config.getTemperature())
.build();
}
@Override
public boolean support(ModelStrategyEnum taskType) {
return true;
}
}

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@@ -0,0 +1,40 @@
package com.xiang.xservice.ai.core.provider;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
import com.xiang.xservice.ai.core.storage.MemoryPersistentStore;
import dev.langchain4j.memory.chat.ChatMemoryProvider;
import dev.langchain4j.memory.chat.MessageWindowChatMemory;
import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.model.openai.OpenAiStreamingChatModel;
import org.springframework.stereotype.Component;
@Component
public class OpenAILlmProvider implements BaseProvider {
@Override
public String providerName() {
return ModelTypeEnum.OPEN_AI.getModelType();
}
@Override
public StreamingChatModel build(ModelConfig config) {
return OpenAiStreamingChatModel.builder()
.baseUrl(config.getBaseUrl())
.apiKey(config.getApiKey())
.modelName(config.getModelName())
.temperature(config.getTemperature())
.maxTokens(config.getMaxTokens())
.build();
}
@Override
public boolean support(ModelStrategyEnum taskType) {
return true;
}
}

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@@ -0,0 +1,49 @@
package com.xiang.xservice.ai.core.route;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.provider.BaseProvider;
import com.xiang.xservice.ai.core.strategy.BaseStrategy;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Component;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
@Component
public class ModelRouter {
private final Map<String, BaseProvider> providerMap;
public ModelRouter(List<BaseProvider> providers) {
this.providerMap = providers.stream()
.collect(Collectors.toMap(
BaseProvider::providerName,
p -> p
));
}
/**
* 根据 providerName 选择 Provider并用 config 构建模型
*/
public StreamingChatModel route(String providerName, ModelConfig config) {
BaseProvider provider = providerMap.get(providerName);
if (provider == null) {
throw new RuntimeException("Provider " + providerName + " not found");
}
return provider.build(config);
}
/**
* 获取某个 TaskType 支持的所有 Provider 名称
*/
public List<String> getProvidersForTask(ModelStrategyEnum taskType) {
return providerMap.values().stream()
.filter(p -> p.support(taskType))
.map(BaseProvider::providerName)
.collect(Collectors.toList());
}
}

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@@ -0,0 +1,41 @@
package com.xiang.xservice.ai.core.route;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.provider.BaseProvider;
import dev.langchain4j.model.chat.StreamingChatModel;
import org.springframework.stereotype.Component;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
@Component
public class TaskRouter {
private final Map<ModelStrategyEnum, List<String>> taskDefaultProviderMap;
private final ModelRouter providerRouter;
public TaskRouter(ModelRouter providerRouter, List<BaseProvider> providers) {
this.providerRouter = providerRouter;
taskDefaultProviderMap = new HashMap<>();
for (ModelStrategyEnum taskType : ModelStrategyEnum.values()) {
// 默认使用第一个可用的 Provider
List<String> supported = providerRouter.getProvidersForTask(taskType);
taskDefaultProviderMap.put(taskType, supported);
}
}
/**
* 第一层路由 + 第二层 ProviderRouter
*/
public StreamingChatModel route(ModelStrategyEnum taskType, String providerName, ModelConfig config) {
// 如果没有传 providerName使用默认 Provider
if (providerName == null || providerName.isEmpty()) {
providerName = taskDefaultProviderMap.get(taskType).get(0);
}
// 第二层路由
return providerRouter.route(providerName, config);
}
}

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@@ -0,0 +1,97 @@
package com.xiang.xservice.ai.core.storage;
import com.alibaba.fastjson2.JSON;
import com.google.common.collect.Lists;
import com.xiang.xservice.ai.pojo.entity.AiSimpleChatMessageDO;
import com.xiang.xservice.ai.repository.manage.IAiSimpleChatMessageManage;
import dev.langchain4j.data.message.*;
import dev.langchain4j.store.memory.chat.ChatMemoryStore;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.CollectionUtils;
import org.springframework.stereotype.Component;
import java.time.LocalDateTime;
import java.util.List;
/**
* 数据库持久化
*/
@RequiredArgsConstructor
public class DbPersistentStore implements ChatMemoryStore {
private final IAiSimpleChatMessageManage aiSimpleChatMessageManage;
@Override
public List<ChatMessage> getMessages(Object memoryId) {
List<AiSimpleChatMessageDO> msg = aiSimpleChatMessageManage.getMsgByMemoryId((Long) memoryId);
if (CollectionUtils.isEmpty(msg)) {
return Lists.newArrayList();
}
List<ChatMessage> result = Lists.newArrayList();
for (AiSimpleChatMessageDO chatMessageDO : msg) {
String role = chatMessageDO.getRole();
switch (role) {
case "SYSTEM":
result.add(SystemMessage.from(chatMessageDO.getMessage()));
break;
case "USER":
result.add(UserMessage.from(chatMessageDO.getMessage()));
break;
case "AI":
result.add(AiMessage.from(chatMessageDO.getMessage()));
break;
default:
break;
}
}
return result;
}
@Override
public void updateMessages(Object memoryId, List<ChatMessage> list) {
List<AiSimpleChatMessageDO> result = Lists.newArrayList();
for (ChatMessage chatMessage : list) {
StringBuilder str = new StringBuilder();
String type = "";
if (chatMessage instanceof SystemMessage systemMessage) {
str = new StringBuilder(systemMessage.text());
type = "SYSTEM";
}
if (chatMessage instanceof UserMessage userMessage) {
for (Content content : userMessage.contents()) {
if (content instanceof TextContent textContent) {
str.append(textContent.text());
type = "USER";
}
}
}
if (chatMessage instanceof AiMessage aiMessage) {
str = new StringBuilder(aiMessage.text());
type = "AI";
}
AiSimpleChatMessageDO message = AiSimpleChatMessageDO.builder()
.userId(1L)
.memoryId((Long) memoryId)
.message(str.toString())
.createTime(LocalDateTime.now())
.delFlag(0)
.role(type)
.build();
result.add(message);
}
aiSimpleChatMessageManage.saveBatch(result);
}
@Override
public void deleteMessages(Object memoryId) {
aiSimpleChatMessageManage.deleteByMemoryId((Long) memoryId);
}
}

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package com.xiang.xservice.ai.core.storage;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import dev.langchain4j.data.message.ChatMessage;
import dev.langchain4j.store.memory.chat.ChatMemoryStore;
import java.util.List;
import java.util.Map;
/**
* 内存持久化
*/
public class MemoryPersistentStore implements ChatMemoryStore {
private final static Map<Long, List<ChatMessage>> MAP = Maps.newHashMap();
@Override
public List<ChatMessage> getMessages(Object memoryId) {
Long id = (Long) memoryId;
if (MAP.containsKey(id)) {
return MAP.get(id);
}
return Lists.newArrayList();
}
@Override
public void updateMessages(Object memoryId, List<ChatMessage> list) {
Long id = (Long) memoryId;
if (MAP.containsKey(id)) {
MAP.get(id).addAll(list);
} else {
MAP.put(id, list);
}
}
@Override
public void deleteMessages(Object memoryId) {
MAP.remove((Long) memoryId);
}
}

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package com.xiang.xservice.ai.core.strategy;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
public interface BaseStrategy {
String modelType();
StreamingChatModel createProvider(String provider, ModelConfig config);
}

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package com.xiang.xservice.ai.core.strategy;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.provider.BaseProvider;
import com.xiang.xservice.ai.core.route.TaskRouter;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Component;
@Component
@RequiredArgsConstructor
public class ChatStrategy implements BaseStrategy {
private final TaskRouter taskRouter;
@Override
public String modelType() {
return ModelStrategyEnum.CHAT.getName();
}
@Override
public StreamingChatModel createProvider(String provider, ModelConfig config) {
return taskRouter.route(ModelStrategyEnum.CHAT, provider, config);
}
}

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package com.xiang.xservice.ai.core.strategy;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import org.springframework.stereotype.Component;
@Component
public class CodeStrategy implements BaseStrategy {
@Override
public String modelType() {
return ModelStrategyEnum.CODE.getName();
}
@Override
public StreamingChatModel createProvider(String provider, ModelConfig config) {
return null;
}
}

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package com.xiang.xservice.ai.core.strategy;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import org.springframework.stereotype.Component;
@Component
public class ReasonStrategy implements BaseStrategy {
@Override
public String modelType() {
return ModelStrategyEnum.REASON.getName();
}
@Override
public StreamingChatModel createProvider(String provider, ModelConfig config) {
return null;
}
}

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package com.xiang.xservice.ai.pojo.entity;
import com.baomidou.mybatisplus.annotation.TableName;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.time.LocalDateTime;
@Data
@AllArgsConstructor
@NoArgsConstructor
@TableName("ai_simple_chat_message")
@Builder
public class AiSimpleChatMessageDO {
private Long id;
private Long userId;
private Long memoryId;
private String role;
private String message;
private LocalDateTime createTime;
private Integer delFlag;
}

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package com.xiang.xservice.ai.repository.manage;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.xiang.xservice.ai.pojo.entity.AiSimpleChatMessageDO;
import com.xiang.xservice.ai.repository.mapper.IAiSimpleChatMessageMapper;
import org.springframework.stereotype.Service;
import java.util.List;
@Service
public class AiSimpleChatMessageManageImpl extends ServiceImpl<IAiSimpleChatMessageMapper, AiSimpleChatMessageDO> implements IAiSimpleChatMessageManage {
@Override
public List<AiSimpleChatMessageDO> getMsgByMemoryId(Long memoryId) {
LambdaQueryWrapper<AiSimpleChatMessageDO> lambdaQueryWrapper = Wrappers.lambdaQuery();
lambdaQueryWrapper.eq(AiSimpleChatMessageDO::getMemoryId, memoryId);
lambdaQueryWrapper.eq(AiSimpleChatMessageDO::getDelFlag, 0);
return baseMapper.selectList(lambdaQueryWrapper);
}
@Override
public boolean deleteByMemoryId(Long memoryId) {
return baseMapper.deleteByMemoryId(memoryId) > 0;
}
}

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package com.xiang.xservice.ai.repository.manage;
import com.baomidou.mybatisplus.extension.service.IService;
import com.xiang.xservice.ai.pojo.entity.AiSimpleChatMessageDO;
import java.util.List;
public interface IAiSimpleChatMessageManage extends IService<AiSimpleChatMessageDO> {
List<AiSimpleChatMessageDO> getMsgByMemoryId(Long memoryId);
boolean deleteByMemoryId(Long memoryId);
}

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package com.xiang.xservice.ai.repository.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.xiang.xservice.ai.pojo.entity.AiSimpleChatMessageDO;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Param;
import org.springframework.stereotype.Repository;
@Mapper
@Repository
public interface IAiSimpleChatMessageMapper extends BaseMapper<AiSimpleChatMessageDO> {
int deleteByMemoryId(@Param("id") Long memoryId);
}

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.xiang.dao.AiSimpleChatMessageMapper">
<resultMap id="BaseResultMap" type="com.xiang.xservice.ai.pojo.entity.AiSimpleChatMessageDO">
<result column="id" property="id"/>
<result column="memory_id" property="memoryId"/>
<result column="role" property="role"/>
<result column="message" property="message"/>
<result column="create_time" property="createTime"/>
<result column="user_id" property="userId"/>
<result column="del_flag" property="delFlag"/>
</resultMap>
<sql id="Base_Column_List">
id,
memory_id,
role,
message,
create_time,
user_id,
del_flag
</sql>
<update id="deleteByMemoryId">
update ai_simple_chat_message set del_flag = 1 where memory_id = #{id}
</update>
</mapper>