From 574bc2e8dba9d1d11be124f2054ba2243fca125c Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Wed, 03 Sep 2025 13:43:21 +0800
Subject: [PATCH] feat(ai): 优化 prompt 构建逻辑并添加思考内容输出- 在 AliLlmStrategyServiceImpl 中添加了对思考内容的输出- 在 ApiMemberTalkStreamServiceImpl 中优化了 prompt 的构建逻辑 - 在 TestController 中调整了测试用例，使用枚举生成 prompt- 在 TestController 中添加了对思考内容的输出
---
src/main/java/cc/mrbird/febs/ai/strategy/Impl/AliLlmStrategyServiceImpl.java | 64 +++++++++++++++++++++++++++++--
1 files changed, 59 insertions(+), 5 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 3018bb6..ec12f19 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
@@ -1,11 +1,13 @@
package cc.mrbird.febs.ai.strategy.Impl;
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.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;
@@ -19,6 +21,7 @@
import javax.annotation.PostConstruct;
import java.util.ArrayList;
+import java.util.HashMap;
import java.util.List;
@Component("AliLlmStrategyService")
@@ -27,7 +30,8 @@
private GenerationParam generationParam;
private static final String apiKey = "sk-babdcf8799144134915cee2683794b2f";
- private static final String model = "qwen-plus";
+// private static final String model = "qwen-plus";
+ private static final String model = "qwen3-14b-ft-202509031002-7446";
@PostConstruct
public void init() {
@@ -73,6 +77,7 @@
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);
@@ -90,7 +95,7 @@
}
@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");
}
@@ -100,7 +105,8 @@
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);
@@ -110,8 +116,56 @@
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();
--
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