&prometheus_model.Sample{Value: 2.5},
			},
			"histogram_quantile(0.900000, sum(rate(istio_request_duration_milliseconds_bucket{destination_workload=~\"details.*\", destination_workload_namespace=~\".*\",reporter=\"destination\"}[1m0s])) by (le))": prometheus_model.Vector{ // nolint: lll
				&prometheus_model.Sample{Value: 4.5},

	"PL":  arm.C_SCOND_PL,
	"VS":  arm.C_SCOND_VS,
	"VC":  arm.C_SCOND_VC,
	"HI":  arm.C_SCOND_HI,
	"LS":  arm.C_SCOND_LS,
	"GE":  arm.C_SCOND_GE,
	"LT":  arm.C_SCOND_LT,
	"GT":  arm.C_SCOND_GT,
	"LE":  arm.C_SCOND_LE,
	"AL":  arm.C_SCOND_NONE,
	"U":   arm.C_UBIT,
	"S":   arm.C_SBIT,
	"W":   arm.C_WBIT,
	"P":   arm.C_PBIT,
	"PW":  arm.C_WBIT | arm.C_PBIT,
	"WP":  arm.C_WBIT | arm.C_PBIT,
	"F":   arm.C_FBIT,

		"Total number of requests canceled by the client", "name", "type")

	apiRequestsTTFBSecondsDistributionMD = NewCounterMD(apiRequestsTTFBSecondsDistribution,
		"Distribution of time to first byte across API calls", "name", "type", "le")

	apiTrafficSentBytesMD = NewCounterMD(apiTrafficSentBytes,
		"Total number of bytes sent", "type")
	apiTrafficRecvBytesMD = NewCounterMD(apiTrafficRecvBytes,
		"Total number of bytes received", "type")
)

	latencyQuery := fmt.Sprintf(`histogram_quantile(%f, sum(rate(%s_bucket{%s=~"%s.*", %s=~"%s.*",reporter="destination"}[%s])) by (le))`,
		quantile, reqDur, destWorkloadLabel, workloadName, destWorkloadNamespaceLabel, workloadNamespace, duration)

	letency, err := vectorValue(promAPI, latencyQuery)
	if err != nil {
		return time.Duration(0), err
	}