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[app-builder] 修复猜你想问返回数据为空的bug #470

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Merged
loveTsong merged 2 commits into from
Oct 10, 2025
Merged

[app-builder] 修复猜你想问返回数据为空的bug #470

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79bf31a
[app-builder] 修复猜你想问返回数据为空的bug
ZJUPJM Oct 9, 2025
772a686
Merge branch 'main' into 1.2.x-bugfix-recommend-is-empty
ZJUPJM Oct 10, 2025
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43 changes: 21 additions & 22 deletions ...in/java/modelengine/jade/app/engine/base/service/impl/AppBuilderRecommendServiceImpl.java
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,9 @@
import modelengine.fel.core.chat.ChatMessage;
import modelengine.fel.core.chat.ChatModel;
import modelengine.fel.core.chat.ChatOption;
import modelengine.fel.core.chat.support.ChatMessages;
import modelengine.fel.core.model.http.SecureConfig;
import modelengine.fel.core.template.support.HumanMessageTemplate;
import modelengine.fel.core.util.Tip;
import modelengine.fel.engine.flows.AiFlows;
import modelengine.fel.engine.flows.AiProcessFlow;
Expand Down Expand Up @@ -56,7 +58,8 @@ public AppBuilderRecommendServiceImpl(ChatModel chatModelService, AippModelCente
}

@Override
public List<String> queryRecommends(AppBuilderRecommendDto recommendDto, OperationContext context, boolean isGuest) {
public List<String> queryRecommends(AppBuilderRecommendDto recommendDto, OperationContext context,
boolean isGuest) {
// 游客模式下，需要查询应用所属用户名下的模型信息
Map<String, Object> extensions = new HashMap<>();
if (isGuest && recommendDto.getAppOwner() != null) {
Expand All @@ -73,33 +76,29 @@ public List<String> queryRecommends(AppBuilderRecommendDto recommendDto, Operati
+ "inside <history></history> XML tags.\n<history>\n{{history}}\n</history>\n\n";

String recommendPrompt = "Please predict the three most likely questions that human would ask, "
+ "and keeping each question under 20 characters.\n"
+ "Do not include any explanations, "
+ "and keeping each question under 20 characters.\n" + "Do not include any explanations, "
+ "only provide output that strictly following the specified JSON format:\n"
+ "[\"question1\",\"question2\",\"question3\"]\n";
HumanMessageTemplate template = new HumanMessageTemplate(historyPrompt + recommendPrompt);

List<String> res;
try {
AiProcessFlow<Tip, String> flow = AiFlows.<Tip>create()
.prompt(Prompts.human(historyPrompt + recommendPrompt))
.generate(new ChatBlockModel(chatModelService)
.bind(ChatOption.custom()
.model(model)
.stream(false)
.temperature(0.3)
.baseUrl(modelAccessInfo.getBaseUrl())
.secureConfig(modelAccessInfo.isSystemModel()
? null
: SecureConfig.custom().ignoreTrust(true).build())
.apiKey(modelAccessInfo.getAccessKey())
.extensions(extensions)
.build()))
.map(ChatMessage::text)
.close();
ChatOption option = ChatOption.custom()
.model(model)
.stream(false)
.temperature(0.3)
.baseUrl(modelAccessInfo.getBaseUrl())
.secureConfig(modelAccessInfo.isSystemModel()
? null
: SecureConfig.custom().ignoreTrust(true).build())
.apiKey(modelAccessInfo.getAccessKey())
.build();

String chatHistory = "User: " + recommendDto.getQuestion() + '\n' + "Assistant: " + recommendDto.getAnswer()
+ '\n';
String response = flow.converse().offer(Tip.from("history", chatHistory)).await();
String chatHistory =
"User: " + recommendDto.getQuestion() + '\n' + "Assistant: " + recommendDto.getAnswer() + '\n';
String response =
chatModelService.generate(ChatMessages.from(template.render(Tip.from("history", chatHistory)
.freeze())), option).first().block().get().text();

res = JSONArray.parseArray(ContentProcessUtils.filterReasoningContent(response), String.class);
} catch (SerializationException | JSONException | IllegalStateException e) {
Expand Down