From 89c8099e23ef5260ce6b3e46339064c559e9cc0f Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Wed, 08 Apr 2026 11:29:34 +0800
Subject: [PATCH] feat(ai): 添加智能体对话功能和相关实体映射
---
src/main/java/cc/mrbird/febs/ai/strategy/Impl/AliLlmStrategyServiceImpl.java | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++--
1 files changed, 174 insertions(+), 6 deletions(-)
diff --git a/src/main/java/cc/mrbird/febs/ai/strategy/Impl/AliLlmStrategyServiceImpl.java b/src/main/java/cc/mrbird/febs/ai/strategy/Impl/AliLlmStrategyServiceImpl.java
index c362634..f47744d 100644
--- a/src/main/java/cc/mrbird/febs/ai/strategy/Impl/AliLlmStrategyServiceImpl.java
+++ b/src/main/java/cc/mrbird/febs/ai/strategy/Impl/AliLlmStrategyServiceImpl.java
@@ -1,39 +1,70 @@
package cc.mrbird.febs.ai.strategy.Impl;
+import cc.mrbird.febs.ai.req.agent.AiRequestDto;
import cc.mrbird.febs.ai.strategy.LlmStrategyService;
+import cc.mrbird.febs.ai.strategy.enumerates.LlmStrategyContextEnum;
import cc.mrbird.febs.ai.strategy.param.LlmStrategyDto;
import cc.mrbird.febs.common.entity.FebsResponse;
import cc.mrbird.febs.common.exception.FebsException;
import cn.hutool.core.collection.CollUtil;
+import cn.hutool.core.util.ObjectUtil;
import cn.hutool.core.util.StrUtil;
+import cn.hutool.json.JSONUtil;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
+import com.alibaba.dashscope.app.*;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
+import com.alibaba.dashscope.utils.JsonUtils;
import io.reactivex.Flowable;
+import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
import reactor.core.publisher.Flux;
import javax.annotation.PostConstruct;
import java.util.ArrayList;
+import java.util.HashMap;
import java.util.List;
+@Slf4j
@Component("AliLlmStrategyService")
public class AliLlmStrategyServiceImpl implements LlmStrategyService {
private GenerationParam generationParam;
+ private static final String apiKey = "sk-a2323eba1e584066b3a536aefa804970";
+ private static final String model = "qwen-plus";
+
+
+ private ApplicationParam applicationParam;
+ private ApplicationParam applicationParamSummary;
+
+ private static final String appId = "a5d38240f6b94da6b7f1f7fbe563f50c";
+ private static final String SummaryAppId = "19da84392c534db5b2e3f10e698758ab";
+
@PostConstruct
public void init() {
this.generationParam = GenerationParam.builder()
// 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：.apiKey("sk-xxx")
- .apiKey("sk-babdcf8799144134915cee2683794b2f")
+ .apiKey(apiKey)
// 模型列表：https://help.aliyun.com/zh/model-studio/getting-started/models
- .model("qwen-plus")
+ .model(model)
.resultFormat(GenerationParam.ResultFormat.MESSAGE)
+ .build();
+
+ this.applicationParam = ApplicationParam.builder()
+ // 若没有配置环境变量，可用百炼API Key将下行替换为：.apiKey("sk-xxx")。但不建议在生产环境中直接将API Key硬编码到代码中，以减少API Key泄露风险。
+ .apiKey(apiKey)
+ .appId(appId)
+ .build();
+
+ this.applicationParamSummary = ApplicationParam.builder()
+ // 若没有配置环境变量，可用百炼API Key将下行替换为：.apiKey("sk-xxx")。但不建议在生产环境中直接将API Key硬编码到代码中，以减少API Key泄露风险。
+ .apiKey(apiKey)
+ .appId(SummaryAppId)
.build();
}
@@ -70,6 +101,7 @@
List<Message> messages = getMessages(dto);
Generation gen = new Generation();
generationParam.setMessages(messages);
+ generationParam.setEnableThinking( false);
FebsResponse febsResponse = new FebsResponse();
try {
GenerationResult result = gen.call(generationParam);
@@ -87,7 +119,7 @@
}
@Override
- public Flux<FebsResponse> llmInvokeStreaming(List<LlmStrategyDto> dto) {
+ public Flux<FebsResponse> llmInvokeStreamingWithThink(List<LlmStrategyDto> dto) {
if (CollUtil.isEmpty(dto)){
throw new FebsException("百炼大模型初始化异常");
}
@@ -97,7 +129,8 @@
Generation gen = new Generation();
generationParam.setMessages(messages);
generationParam.setResultFormat(GenerationParam.ResultFormat.MESSAGE);
- generationParam.setIncrementalOutput(true);
+ generationParam.setEnableThinking( true);
+ generationParam.setIncrementalOutput( true);
Flowable<GenerationResult> result;
try {
result = gen.streamCall(generationParam);
@@ -107,8 +140,143 @@
return Flux.from(result)
.map(message -> {
- String content = message.getOutput().getChoices().get(0).getMessage().getContent();
- return new FebsResponse().success().data(content);
+ HashMap<String, String> stringStringHashMap = new HashMap<>();
+ if (StrUtil.isNotEmpty(message.getOutput().getChoices().get(0).getMessage().getReasoningContent())){
+ stringStringHashMap.put(LlmStrategyContextEnum.THINK.name(),message.getOutput().getChoices().get(0).getMessage().getReasoningContent());
+
+ System.out.print(message.getOutput().getChoices().get(0).getMessage().getReasoningContent());
+ }
+ if (StrUtil.isNotEmpty(message.getOutput().getChoices().get(0).getMessage().getContent())){
+ stringStringHashMap.put(LlmStrategyContextEnum.CONTENT.name(),message.getOutput().getChoices().get(0).getMessage().getContent());
+ System.out.print(message.getOutput().getChoices().get(0).getMessage().getContent());
+ }
+ return new FebsResponse().success().data(stringStringHashMap);
+ })
+ .doOnComplete(() -> {
+ long endTime = System.currentTimeMillis();
+ System.out.println("百炼大模型输出：" + (endTime - startTime) + "毫秒");
+ })
+ .doOnError(error -> {
+ throw new FebsException(StrUtil.format("百炼大模型输出失败:{}",error));
+ });
+ }
+
+ @Override
+ public Flux<FebsResponse> llmInvokeStreamingNoThink(List<LlmStrategyDto> dto) {
+ if (CollUtil.isEmpty(dto)){
+ throw new FebsException("百炼大模型初始化异常");
+ }
+ List<Message> messages = getMessages(dto);
+
+ long startTime = System.currentTimeMillis();
+ Generation gen = new Generation();
+ generationParam.setMessages(messages);
+ generationParam.setResultFormat(GenerationParam.ResultFormat.MESSAGE);
+ generationParam.setIncrementalOutput( true);
+ generationParam.setEnableThinking( false);
+ Flowable<GenerationResult> result;
+ try {
+ result = gen.streamCall(generationParam);
+ } catch (NoApiKeyException | InputRequiredException e) {
+ throw new FebsException(StrUtil.format("百炼大模型输出失败:{}",e.getMessage()));
+ }
+
+ return Flux.from(result)
+ .map(message -> {
+ HashMap<String, String> stringStringHashMap = new HashMap<>();
+ if (StrUtil.isNotEmpty(message.getOutput().getChoices().get(0).getMessage().getContent())){
+ String content = message.getOutput().getChoices().get(0).getMessage().getContent();
+ System.out.print( content);
+ stringStringHashMap.put(LlmStrategyContextEnum.CONTENT.name(),content);
+ }
+ return new FebsResponse().success().data(stringStringHashMap);
+ })
+ .doOnComplete(() -> {
+ long endTime = System.currentTimeMillis();
+ System.out.println("百炼大模型输出：" + (endTime - startTime) + "毫秒");
+ })
+ .doOnError(error -> {
+ throw new FebsException(StrUtil.format("百炼大模型输出失败:{}",error));
+ });
+ }
+
+ @Override
+ public Flux<FebsResponse> llmInvokeStreamingNoThink(AiRequestDto dto) {
+ long startTime = System.currentTimeMillis();
+ if (ObjectUtil.isEmpty(dto)){
+ throw new FebsException("参数异常");
+ }
+ String talkId = dto.getTalkId();
+
+ String rolePrompt = dto.getRolePrompt();
+ List<Message> messages = dto.getMessages();
+ HashMap<String, Object> userPromptParams = new HashMap<>();
+ userPromptParams.put("role_prompt", rolePrompt);
+ if(CollUtil.isNotEmpty( messages)){
+ userPromptParams.put("message_list", messages);
+ }
+ HashMap<String, Object> bizParams = new HashMap<>();
+ bizParams.put("user_prompt_params", userPromptParams);
+
+ List<String> knowledgeIds = dto.getKnowledgeIds();
+ List<String> fileIds = dto.getFileIds();
+ String prompt = dto.getPrompt();
+
+ Application application = new Application();
+ applicationParam.setPrompt(prompt);
+ applicationParam.setBizParams(JsonUtils.toJsonObject( bizParams));
+ // 获取当前的系统时间
+ applicationParam.setEnableSystemTime( true);
+ // 增量输出
+ applicationParam.setIncrementalOutput( true);
+ // 思考过程
+ applicationParam.setEnableThinking( false);
+ // 多轮对话
+// applicationParam.setMessages(messages);
+ // 上下文seesionId
+// String sessionId = (String) redisCache.getCacheObject(talkId);
+// if (ObjectUtil.isNotEmpty(sessionId)){
+// applicationParam.setSessionId(talkId);
+// }
+
+ RagOptions ragOptions = null;
+ if (CollUtil.isEmpty(fileIds)){
+ ragOptions = RagOptions.builder()
+ .pipelineIds(knowledgeIds)
+ .build();
+ }else{
+ ragOptions = RagOptions.builder()
+ .pipelineIds(knowledgeIds)
+ .fileIds(fileIds)
+ .build();
+ }
+ applicationParam.setRagOptions(ragOptions);
+ Flowable<ApplicationResult> result;
+ try {
+ result = application.streamCall(applicationParam);
+ } catch (NoApiKeyException | InputRequiredException e) {
+
+ throw new FebsException(StrUtil.format("百炼大模型输出失败:{}",e.getMessage()));
+ }
+ return Flux.from(result)
+ .map(message -> {
+ HashMap<String, Object> stringStringHashMap = new HashMap<>();
+ if (!message.getOutput().getFinishReason().equals("stop")){
+ stringStringHashMap.put(LlmStrategyContextEnum.CONTENT.name(),message.getOutput().getText());
+ }
+ if (message.getOutput().getFinishReason().equals("stop")){
+ log.info("百炼大模型输出：{}",message.getOutput().getSessionId());
+ List<ApplicationUsage.ModelUsage> models = message.getUsage().getModels();
+ long outputTokens = models.stream().mapToLong(ApplicationUsage.ModelUsage::getOutputTokens).sum();
+ log.info("百炼大模型输出：{}",outputTokens);
+ long inputTokens = models.stream().mapToLong(ApplicationUsage.ModelUsage::getInputTokens).sum();
+ log.info("百炼大模型输出：{}",inputTokens);
+ stringStringHashMap.put("inputTokens:",inputTokens);
+ stringStringHashMap.put("outputTokens:",outputTokens);
+ stringStringHashMap.put(LlmStrategyContextEnum.CONTENT.name(),message.getOutput().getText());
+ }
+
+ return new FebsResponse().success().data(stringStringHashMap);
})
.doOnComplete(() -> {
long endTime = System.currentTimeMillis();
--
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