feat:带记忆体的简单聊天AI智能体

This commit is contained in:
Ttt
2026-03-13 21:25:23 +08:00
parent 06d5b6ca63
commit d00e3ce11e
9 changed files with 108 additions and 41 deletions

View File

@@ -14,8 +14,8 @@ public class ChatController {
private final BaseAgent baseAgent; private final BaseAgent baseAgent;
@GetMapping("/chat") @GetMapping("/chat")
public String chatDemo(@RequestParam("question") String question) { public String chatDemo(@RequestParam("question") String question, @RequestParam("id") Long id) {
baseAgent.chat(ModelTypeEnum.OPEN_AI, question); baseAgent.chat(ModelTypeEnum.OPEN_AI, id, question);
return "321"; return "321";
} }

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@@ -3,5 +3,5 @@ package com.xiang.xservice.ai.agent;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum; import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
public interface BaseAgent { public interface BaseAgent {
void chat(ModelTypeEnum modelType, String message); void chat(ModelTypeEnum modelType, Long memoryId, String message);
} }

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@@ -3,15 +3,20 @@ package com.xiang.xservice.ai.agent;
import com.google.common.collect.Lists; import com.google.common.collect.Lists;
import com.xiang.xservice.ai.config.OpenAIBaseConfig; import com.xiang.xservice.ai.config.OpenAIBaseConfig;
import com.xiang.xservice.ai.config.OpenAIConfig; 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.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum; import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum; import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
import com.xiang.xservice.ai.core.handler.MyStreamingHandler; import com.xiang.xservice.ai.core.handler.MyStreamingHandler;
import com.xiang.xservice.ai.core.route.TaskRouter; import com.xiang.xservice.ai.core.route.TaskRouter;
import com.xiang.xservice.ai.core.storage.MemoryPersistentStore;
import dev.langchain4j.data.message.SystemMessage; import dev.langchain4j.data.message.SystemMessage;
import dev.langchain4j.data.message.UserMessage; 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.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel; import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.service.AiServices;
import lombok.RequiredArgsConstructor; import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service; import org.springframework.stereotype.Service;
@@ -21,11 +26,19 @@ public class SimpleChatAgent implements BaseAgent {
private final TaskRouter router; private final TaskRouter router;
private final OpenAIBaseConfig openAIBaseConfig; private final OpenAIBaseConfig openAIBaseConfig;
private final MyStreamingHandler streamingHandler;
@Override @Override
public void chat(ModelTypeEnum modelType, String message) { public void chat(ModelTypeEnum modelType, Long id, String message) {
MemoryPersistentStore store = new MemoryPersistentStore();
ChatMemoryProvider chatMemoryProvider = memoryId -> MessageWindowChatMemory.builder()
.id(memoryId)
.maxMessages(10)
.chatMemoryStore(store)
.build();
OpenAIConfig openAIConfig = openAIBaseConfig.getConfigs().get("bai-lian"); OpenAIConfig openAIConfig = openAIBaseConfig.getConfigs().get("bai-lian");
ModelConfig modelConfig = ModelConfig.builder() ModelConfig modelConfig = ModelConfig.builder()
.baseUrl(openAIConfig.getBaseUrl()) .baseUrl(openAIConfig.getBaseUrl())
@@ -35,8 +48,20 @@ public class SimpleChatAgent implements BaseAgent {
.temperature(openAIConfig.getTemperature()) .temperature(openAIConfig.getTemperature())
.build(); .build();
StreamingChatModel chat = router.route(ModelStrategyEnum.CHAT, modelType.getModelType(), modelConfig); 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); 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"); 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");
chat.chat(Lists.newArrayList(systemMessage, userMessage), streamingHandler); 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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@@ -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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@@ -3,6 +3,9 @@ package com.xiang.xservice.ai.core.provider;
import com.xiang.xservice.ai.core.entity.ModelConfig; import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum; import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum; 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.chat.StreamingChatModel;
import dev.langchain4j.model.openai.OpenAiStreamingChatModel; import dev.langchain4j.model.openai.OpenAiStreamingChatModel;
import org.springframework.stereotype.Component; import org.springframework.stereotype.Component;

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@@ -0,0 +1,23 @@
package com.xiang.xservice.ai.core.storage;
import dev.langchain4j.data.message.ChatMessage;
import dev.langchain4j.store.memory.chat.ChatMemoryStore;
import java.util.List;
public class DbPersistentStore implements ChatMemoryStore {
@Override
public List<ChatMessage> getMessages(Object memoryId) {
return List.of();
}
@Override
public void updateMessages(Object memoryId, List<ChatMessage> list) {
}
@Override
public void deleteMessages(Object memoryId) {
}
}

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@@ -0,0 +1,39 @@
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;
public class MemoryPersistentStore implements ChatMemoryStore {
private 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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@@ -1,16 +0,0 @@
package com.xiang.xservice.ai.service;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelStrategyEnum;
import com.xiang.xservice.ai.core.route.TaskRouter;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.service.AiServices;
import lombok.RequiredArgsConstructor;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
@Service
@RequiredArgsConstructor
public class AgentService {
}

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@@ -1,19 +0,0 @@
package com.xiang.xservice.ai.service;
import com.xiang.xservice.ai.core.entity.ModelConfig;
import com.xiang.xservice.ai.core.enums.ModelTypeEnum;
import com.xiang.xservice.ai.core.route.ModelRouter;
import dev.langchain4j.model.chat.ChatModel;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
@Service
@RequiredArgsConstructor
public class AiService {
// private final ModelRouter modelRouter;
//
// private ChatModel createChat(ModelTypeEnum modelType, ModelConfig modelConfig) {
// return modelRouter.create(modelType.getModelType(), modelConfig);
// }
}