Triton inference server metrics is not supported about seldon-core HOT 3 OPEN

apiVersion: machinelearning.seldon.io/v1
kind: SeldonDeployment
metadata:
  name: multi
  namespace: seldon-triton
spec:
  predictors:
  - annotations:
      seldon.io/no-engine: "false"
#      prometheus.io/scrape: 'true'
#      prometheus.io/path: '/metrics'
#      prometheus.io/port: '6000'
#      seldon.io/engine-metrics-prometheus-path: "/metrics"
#      seldon.io/engine-metrics-prometheus-port: "6000"
    componentSpecs:
    - spec:
        containers:
          - name: multi
            image: nvcr.io/nvidia/tritonserver:23.10-py3
            args:
              - /opt/tritonserver/bin/tritonserver
              - '--grpc-port=9500'
              - '--http-port=9000'
              - '--metrics-port=6000'
              - '--model-repository=/mnt/models'
            ports:
            - name: grpc
              containerPort: 9500
              protocol: TCP
            - name: http
              containerPort: 9000
              protocol: TCP
            - name: triton-metrics
              containerPort: 6000
              protocol: TCP
            resources:
              limits:
                nvidia.com/gpu: 1
            securityContext:
              capabilities:
                add: [ "SYS_ADMIN" ] # for DCGM
    graph:
      logger:
        mode: all
      modelUri: gs://seldon-models/triton/multi
      name: multi
    name: default
    replicas: 1
  protocol: v2