// This is a critical security vulnerability. The ID token should be validated
            // to ensure it was issued by the expected OpenID Connect provider and has not been tampered with.
            // TODO: Implement JWT signature validation using the provider's public key

            final Map<String, Object> attributes = new HashMap<>();
            attributes.put("accesstoken", tr.getAccessToken());

		<header>
			<nav class="navbar navbar-expand-md navbar-dark fixed-top bg-dark">
				<div class="container">
					<la:link styleClass="navbar-brand d-inline-flex" href="/">
						<img src="${fe:url('/images/logo-head.png')}"
							alt="<la:message key="labels.header_brand_name" />"
							class="align-items-center" />
					</la:link>

            //                cb.fetchFirst(0);
            //                createSearchLogCondition(pager, cb);
            //                // TODO 0 clicked
            //                });
        } else {
            list = (EsPagingResultBean<?>) searchLogBhv.selectPage(cb -> {
                cb.paging(pager.getPageSize(), pager.getCurrentPageNumber());

                    QueryBuilders.boolQuery().must(QueryBuilders.termQuery(fessConfig.getIndexFieldDocId(), docId));
            final Set<String> roleSet = ComponentUtil.getRoleQueryHelper().build(SearchRequestType.JSON); // TODO SearchRequestType?
            final QueryHelper queryHelper = ComponentUtil.getQueryHelper();
            if (!roleSet.isEmpty()) {
                queryHelper.buildRoleQuery(roleSet, boolQuery);
            }

        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        if (searchLogQueue.size() > fessConfig.getLoggingSearchMaxQueueSizeAsInteger()) {
            logger.warn("[{}] The search log queue size is too large. Skipped the search log: {}", queryId, query);
            return;
        }

        final SearchLogContext context = createSearchLogContext(params, fessConfig);

                queryContext.setQueryBuilder(queryBuilder);
            } else {
                queryContext.setQueryBuilder(QueryBuilders.matchAllQuery());
            }
            // TODO options query
            context.accept(queryContext);
        } catch (final QueryParseException e) {

labels.chat_error_service_unavailable=The AI service is temporarily unavailable. Please try again later.
labels.chat_error_timeout=The request timed out. Please try again.
labels.chat_error_context_length_exceeded=The message is too long to process. Please shorten it and try again.
labels.chat_error_model_not_found=The AI model was not found. Please contact the administrator.

lectedOptionsStart:"You have to choose at least ",badNumberOfSelectedOptionsEnd:" answers",badAlphaNumeric:"The input value can only contain alphanumeric characters ",badAlphaNumericExtra:" and ",wrongFileSize:"The file you are trying to upload is too large (max %s)",wrongFileType:"Only files of type %s is allowed",groupCheckedRangeStart:"Please choose between ",groupCheckedTooFewStart:"Please choose at least ",groupCheckedTooManyStart:"Please choose a maximum of ",groupCheckedEnd:" item(s)",badCreditCard:"The...

        history.add(LlmMessage.assistant("A".repeat(200))); // 200 chars - too large
        history.add(LlmMessage.user("Q2")); // 2 chars
        history.add(LlmMessage.assistant("A2")); // 2 chars
        final LlmChatRequest request = new LlmChatRequest();
        client.testAddHistoryWithBudget(request, history, 10);
        // Q2 and A2 fit (4 chars), Q1 fits (6 chars), but A1 is too large and skipped

er-open:before{content:"\f07c"}.fa-folder-plus:before{content:"\f65e"}.fa-font:before{content:"\f031"}.fa-font-awesome:before{content:"\f2b4"}.fa-font-awesome-alt:before{content:"\f35c"}.fa-font-awesome-flag:before{content:"\f425"}.fa-font-awesome-logo-full:before{content:"\f4e6"}.fa-fonticons:before{content:"\f280"}.fa-fonticons-fi:before{content:"\f3a2"}.fa-football-ball:before{content:"\f44e"}.fa-fort-awesome:before{content:"\f286"}.fa-fort-awesome-alt:before{content:"\f3a3"}.fa-forumbee:befo...