ray.serve.schema.ServeInstanceDetails#

class ray.serve.schema.ServeInstanceDetails(*, controller_info: ServeActorDetails, proxy_location: ProxyLocation | None = None, http_options: HTTPOptionsSchema | None = None, grpc_options: gRPCOptionsSchema | None = None, proxies: Dict[str, ProxyDetails], deploy_mode: ServeDeployMode = ServeDeployMode.MULTI_APP, applications: Dict[str, ApplicationDetails], target_capacity: ConstrainedFloatValue | None = None)[source]#

Bases: BaseModel

Serve metadata with system-level info and details on all applications deployed to the Ray cluster.

This is the response JSON schema for v2 REST API GET /api/serve/applications.

Methods

`__init__`	Create a new model by parsing and validating input data from keyword arguments.
`construct`	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
`copy`	Duplicate a model, optionally choose which fields to include, exclude and change.
`dict`	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
`get_empty_schema_dict`	Empty Serve instance details dictionary.
`json`	Generate a JSON representation of the model, `include` and `exclude` arguments as per `dict()`.
`update_forward_refs`	Try to update ForwardRefs on fields based on this Model, globalns and localns.

Attributes

`controller_info`
`proxy_location`
`http_options`
`grpc_options`
`proxies`
`deploy_mode`
`applications`
`target_capacity`