class_docstr: Actor definition for replicas of Ray Serve deployments.
  
  This class defines the interface that the controller and deployment handles
  (i.e., from proxies and other replicas) use to interact with a replica.
  
  All interaction with the user-provided callable is done via the
  `UserCallableWrapper` class.
class_docstr_tok: ["Actor","definition","for","replicas","of","Ray","Serve","deployments",".","This","class","defines","the","interface","that","the","controller","and","deployment","handles","(","i.e.",",","from","proxies","and","other","replicas",")","use","to","interact","with","a","replica",".","All","interaction","with","the","user-provided","callable","is","done","via","the","`","UserCallableWrapper","`","class","."]
code: def _set_internal_replica_context(
      self, *, servable_object: Callable = None
  ):
      ray.serve.context._set_internal_replica_context(
          app_name=self._deployment_id.app,
          deployment=self._deployment_id.name,
          replica_tag=self._replica_tag,
          servable_object=servable_object,
      )
  
imports: import asyncio
  import inspect
  import logging
  import os
  import pickle
  import time
  import traceback
  from contextlib import contextmanager
  from importlib import import_module
  from typing import Any, AsyncGenerator, Callable, Dict, Optional, Tuple, Union
  import starlette.responses
  import ray
  from ray import cloudpickle
  from ray._private.utils import get_or_create_event_loop
  from ray.actor import ActorClass
  from ray.remote_function import RemoteFunction
  from ray.serve import metrics
  from ray.serve._private.autoscaling_metrics import InMemoryMetricsStore
  from ray.serve._private.common import DeploymentID, ReplicaName, ReplicaTag, ServeComponentType, StreamingHTTPRequest, gRPCRequest
  from ray.serve._private.config import DeploymentConfig
  from ray.serve._private.constants import DEFAULT_LATENCY_BUCKET_MS, GRPC_CONTEXT_ARG_NAME, HEALTH_CHECK_METHOD, RAY_SERVE_GAUGE_METRIC_SET_PERIOD_S, RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_PERIOD_S, RECONFIGURE_METHOD, REPLICA_CONTROL_PLANE_CONCURRENCY_GROUP, SERVE_CONTROLLER_NAME, SERVE_LOGGER_NAME, SERVE_NAMESPACE
  from ray.serve._private.http_util import ASGIAppReplicaWrapper, ASGIArgs, ASGIReceiveProxy, MessageQueue, Response
  from ray.serve._private.logging_utils import access_log_msg, configure_component_cpu_profiler, configure_component_logger, configure_component_memory_profiler, get_component_logger_file_path
  from ray.serve._private.router import RequestMetadata
  from ray.serve._private.utils import MetricsPusher, merge_dict, parse_import_path, wrap_to_ray_error
  from ray.serve._private.version import DeploymentVersion
  from ray.serve.config import AutoscalingConfig
  from ray.serve.deployment import Deployment
  from ray.serve.exceptions import RayServeException
  from ray.serve.schema import LoggingConfig
label_desc: Use image node_id 1 for calling the ReplicaActor obj's underlying member method code with example usage: obj._set_internal_replica_context() without return types