The compartment OCID to create the endpoint in.
The OCID of the dedicated AI cluster on which the model will be deployed to.
Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags.
Example: {@code {\"Operations\": {\"CostCenter\": \"42\"}}}
An optional description of the endpoint.
A user-friendly name. Does not have to be unique, and it's changeable.
Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags.
Example: {@code {\"Department\": \"Finance\"}}
An OCID that uniquely identifies this endpoint resource.
A message describing the current state of the endpoint in more detail that can provide actionable information.
The current state of the endpoint.
The OCID of the model that's used to create this endpoint.
System tags for this resource. Each key is predefined and scoped to a namespace.
Example: {@code {\"orcl-cloud\": {\"free-tier-retained\": \"true\"}}}
The date and time that the endpoint was created in the format of an RFC3339 datetime string.
The date and time that the endpoint was updated in the format of an RFC3339 datetime string.
To host a custom model for inference, create an endpoint for that model on a dedicated AI cluster of type HOSTING.
To use any of the API operations, you must be authorized in an IAM policy. If you're not authorized, talk to an administrator who gives OCI resource access to users. See [Getting Started with Policies](https://docs.cloud.oracle.com/iaas/Content/Identity/policiesgs/get-started-with-policies.htm) and [Getting Access to Generative AI Resouces](https://docs.cloud.oracle.com/iaas/Content/generative-ai/iam-policies.htm).