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/service/impl/ApiMemberTalkStreamServiceImpl.java | 27 ++++++++++++++++++++++-----
1 files changed, 22 insertions(+), 5 deletions(-)
diff --git a/src/main/java/cc/mrbird/febs/ai/service/impl/ApiMemberTalkStreamServiceImpl.java b/src/main/java/cc/mrbird/febs/ai/service/impl/ApiMemberTalkStreamServiceImpl.java
index 3b1b327..492bdf5 100644
--- a/src/main/java/cc/mrbird/febs/ai/service/impl/ApiMemberTalkStreamServiceImpl.java
+++ b/src/main/java/cc/mrbird/febs/ai/service/impl/ApiMemberTalkStreamServiceImpl.java
@@ -119,6 +119,20 @@
}
@Override
+ public FebsResponse saveMemberAnswer(ApiMemberTalkMemberAnswerSavaDto dto) {
+ String memberUuid = LoginUserUtil.getLoginUser().getMemberUuid();
+ String memberTalkId = dto.getMemberTalkId();
+ String content = dto.getContent();
+
+ AiMemberTalk aiMemberTalk = this.getById(memberTalkId);
+ if (ObjectUtil.isNull(aiMemberTalk)){
+ throw new FebsException("对话不存在");
+ }
+ aiMemberTalkItemService.add(memberUuid,aiMemberTalk.getId(),2,content,new Date());
+ return new FebsResponse().success();
+ }
+
+ @Override
public Flux<FebsResponse> answer(AiTalkAnswerStreamDto dto) {
String memberUuid = LoginUserUtil.getLoginUser().getMemberUuid();
@@ -151,13 +165,15 @@
memberTalkItemQuery.orderByDesc(AiMemberTalkItem::getCreatedTime);
memberTalkItemQuery.last("limit 1");
AiMemberTalkItem aiMemberTalkItem = aiMemberTalkItemService.getByQuery(memberTalkItemQuery);
- aiMemberTalkItemService.add(memberUuid,aiMemberTalk.getId(),2,reqContext,new Date());
+ String question = aiMemberTalkItem.getContext();
- String prompt = this.buildPrompt(aiProductRole.getPromptHead(), aiProductRole.getPromptTemplate(), type);
+ String prompt = this.buildPrompt(question,reqContext,aiProductRole.getPromptHead(), aiProductRole.getPromptTemplate(), type);
List<LlmStrategyDto> llmStrategyDtoList = new ArrayList<>();
LlmStrategyDto llmStrategyDto = this.buildLlmStrategyDtoList(prompt, 1);
+ llmStrategyDtoList.add(llmStrategyDto);
+ llmStrategyDto = this.buildLlmStrategyDtoList(question, 3);
llmStrategyDtoList.add(llmStrategyDto);
llmStrategyDto = this.buildLlmStrategyDtoList(reqContext, 2);
llmStrategyDtoList.add(llmStrategyDto);
@@ -166,10 +182,11 @@
return llmStrategyFactory.getCalculationStrategyMap().get(modelName).llmInvokeStreamingNoThink(llmStrategyDtoList);
}
- private String buildPrompt(String promptHead, String promptTemplate,Integer type){
+ private String buildPrompt(String question,String answer,String promptHead, String promptTemplate,Integer type){
AiPromptJsonReq aiPromptJsonReq = new AiPromptJsonReq();
- aiPromptJsonReq.setTask(promptHead);
- aiPromptJsonReq.setRule(promptTemplate);
+ aiPromptJsonReq.setQuestion( question);
+ aiPromptJsonReq.setTask( promptHead);
+ aiPromptJsonReq.setRule( promptTemplate);
String contentByCode = AiTalkOutputEnum.HIGH_LIGHT.getContentByType(type);
aiPromptJsonReq.setOutputFormat(contentByCode);
--
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