Copybara import of the project:

-- fb42326 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>: feat: add option EndpointUserId and ModelUserId fields feat: migrate dedicated endpoint to be enabled by default docs: A comment for field `dedicated_endpoint_enabled` in message `.google.cloud.aiplatform.v1beta1.DeployRequest` is changed PiperOrigin-RevId: 794762651 Source-Link: googleapis/googleapis@00f5023 Source-Link: googleapis/googleapis-gen@2946921 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMjk0NjkyMTZmZjQxYzYzZTgwODc2ZmIxODQzYzU2ZjRiZTRkMjE3YiJ9 -- 4f8c212 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>: 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md COPYBARA_INTEGRATE_REVIEW=#5704 from googleapis:owl-bot-copy 4f8c212 PiperOrigin-RevId: 796591450

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1beta1/types/model_garden_service.py

@@ -321,6 +321,16 @@ class ModelConfig(proto.Message):
  Optional. The specification of the container
  that is to be used when deploying. If not set,
  the default container spec will be used.
+ model_user_id (str):
+ Optional. The ID to use for the uploaded Model, which will
+ become the final component of the model resource name. When
+ not provided, Vertex AI will generate a value for this ID.
+ When Model Registry model is provided, this field will be
+ ignored.
+
+ This value may be up to 63 characters, and valid characters
+ are ``[a-z0-9_-]``. The first character cannot be a number
+ or hyphen.
  """
 
  accept_eula: bool = proto.Field(
@@ -344,6 +354,10 @@ class ModelConfig(proto.Message):
  number=5,
  message=gca_model.ModelContainerSpec,
  )
+ model_user_id: str = proto.Field(
+ proto.STRING,
+ number=6,
+ )
 
  class EndpointConfig(proto.Message):
  r"""The endpoint config to use for the deployment.
@@ -354,14 +368,46 @@ class EndpointConfig(proto.Message):
  the endpoint. If not set, a default name will be
  used.
  dedicated_endpoint_enabled (bool):
- Optional. If true, the endpoint will be exposed through a
+ Optional. Deprecated. Use dedicated_endpoint_disabled
+ instead. If true, the endpoint will be exposed through a
  dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your
  request to the dedicated DNS will be isolated from other
  users' traffic and will have better performance and
  reliability. Note: Once you enabled dedicated endpoint, you
  won't be able to send request to the shared DNS
  {region}-aiplatform.googleapis.com. The limitations will be
  removed soon.
+ dedicated_endpoint_disabled (bool):
+ Optional. By default, if dedicated endpoint is enabled, the
+ endpoint will be exposed through a dedicated DNS
+ [Endpoint.dedicated_endpoint_dns]. Your request to the
+ dedicated DNS will be isolated from other users' traffic and
+ will have better performance and reliability. Note: Once you
+ enabled dedicated endpoint, you won't be able to send
+ request to the shared DNS
+ {region}-aiplatform.googleapis.com. The limitations will be
+ removed soon.
+
+ If this field is set to true, the dedicated endpoint will be
+ disabled and the deployed model will be exposed through the
+ shared DNS {region}-aiplatform.googleapis.com.
+ endpoint_user_id (str):
+ Optional. Immutable. The ID to use for endpoint, which will
+ become the final component of the endpoint resource name. If
+ not provided, Vertex AI will generate a value for this ID.
+
+ If the first character is a letter, this value may be up to
+ 63 characters, and valid characters are ``[a-z0-9-]``. The
+ last character must be a letter or number.
+
+ If the first character is a number, this value may be up to
+ 9 characters, and valid characters are ``[0-9]`` with no
+ leading zeros.
+
+ When using HTTP/JSON, this field is populated based on a
+ query string argument, such as ``?endpoint_id=12345``. This
+ is the fallback for fields that are not included in either
+ the URI or the body.
  """
 
  endpoint_display_name: str = proto.Field(
@@ -372,6 +418,14 @@ class EndpointConfig(proto.Message):
  proto.BOOL,
  number=2,
  )
+ dedicated_endpoint_disabled: bool = proto.Field(
+ proto.BOOL,
+ number=4,
+ )
+ endpoint_user_id: str = proto.Field(
+ proto.STRING,
+ number=3,
+ )
 
  class DeployConfig(proto.Message):
  r"""The deploy config to use for the deployment.

samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1.json

@@ -8,7 +8,7 @@
  ],
  "language": "PYTHON",
  "name": "google-cloud-aiplatform",
- "version": "1.109.0"
+ "version": "0.1.0"
  },
  "snippets": [
  {

samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1beta1.json

@@ -8,7 +8,7 @@
  ],
  "language": "PYTHON",
  "name": "google-cloud-aiplatform",
- "version": "1.109.0"
+ "version": "0.1.0"
  },
  "snippets": [
  {