Copybara import of the project:

-- 33e0691 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>: feat: add invoke_route_prefix to ModelContainerSpec in aiplatform v1 models.proto PiperOrigin-RevId: 775862178 Source-Link: googleapis/googleapis@4667a43 Source-Link: googleapis/googleapis-gen@5034818 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNTAzNDgxODUyYjBhZmVhNGJiNmUyZWQyZmVlMjI1YWIwYTNjMWQwNiJ9 -- ff62279 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=#5484 from googleapis:owl-bot-copy ff62279 PiperOrigin-RevId: 775961596

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1/types/model.py

@@ -1060,6 +1060,17 @@ class ModelContainerSpec(proto.Message):
  available to your container code as the
  ```AIP_DEPLOYED_MODEL_ID`` environment
  variable <https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables>`__.)
+ invoke_route_prefix (str):
+ Immutable. Invoke route prefix for the custom container.
+ "/*" is the only supported value right now. By setting this
+ field, any non-root route on this model will be accessible
+ with invoke http call eg: "/invoke/foo/bar", however the
+ [PredictionService.Invoke] RPC is not supported yet.
+
+ Only one of ``predict_route`` or ``invoke_route_prefix`` can
+ be set, and we default to using ``predict_route`` if this
+ field is not set. If this field is set, the Model can only
+ be deployed to dedicated endpoint.
  grpc_ports (MutableSequence[google.cloud.aiplatform_v1.types.Port]):
  Immutable. List of ports to expose from the container.
  Vertex AI sends gRPC prediction requests that it receives to
@@ -1120,6 +1131,10 @@ class ModelContainerSpec(proto.Message):
  proto.STRING,
  number=7,
  )
+ invoke_route_prefix: str = proto.Field(
+ proto.STRING,
+ number=15,
+ )
  grpc_ports: MutableSequence["Port"] = proto.RepeatedField(
  proto.MESSAGE,
  number=9,

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

@@ -8,7 +8,7 @@
  ],
  "language": "PYTHON",
  "name": "google-cloud-aiplatform",
- "version": "1.99.0"
+ "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": "1.99.0"
+ "version": "0.1.0"
  },
  "snippets": [
  {

tests/unit/gapic/aiplatform_v1/test_job_service.py

@@ -28029,6 +28029,7 @@ def test_create_batch_prediction_job_rest_call_success(request_type):
  "ports": [{"container_port": 1511}],
  "predict_route": "predict_route_value",
  "health_route": "health_route_value",
+ "invoke_route_prefix": "invoke_route_prefix_value",
  "grpc_ports": {},
  "deployment_timeout": {"seconds": 751, "nanos": 543},
  "shared_memory_size_mb": 2231,
@@ -35846,6 +35847,7 @@ async def test_create_batch_prediction_job_rest_asyncio_call_success(request_typ
  "ports": [{"container_port": 1511}],
  "predict_route": "predict_route_value",
  "health_route": "health_route_value",
+ "invoke_route_prefix": "invoke_route_prefix_value",
  "grpc_ports": {},
  "deployment_timeout": {"seconds": 751, "nanos": 543},
  "shared_memory_size_mb": 2231,

tests/unit/gapic/aiplatform_v1/test_model_service.py

@@ -14886,6 +14886,7 @@ def test_update_model_rest_call_success(request_type):
  "ports": [{"container_port": 1511}],
  "predict_route": "predict_route_value",
  "health_route": "health_route_value",
+ "invoke_route_prefix": "invoke_route_prefix_value",
  "grpc_ports": {},
  "deployment_timeout": {"seconds": 751, "nanos": 543},
  "shared_memory_size_mb": 2231,
@@ -18870,6 +18871,7 @@ async def test_update_model_rest_asyncio_call_success(request_type):
  "ports": [{"container_port": 1511}],
  "predict_route": "predict_route_value",
  "health_route": "health_route_value",
+ "invoke_route_prefix": "invoke_route_prefix_value",
  "grpc_ports": {},
  "deployment_timeout": {"seconds": 751, "nanos": 543},
  "shared_memory_size_mb": 2231,

tests/unit/gapic/aiplatform_v1/test_pipeline_service.py

@@ -9122,6 +9122,7 @@ def test_create_training_pipeline_rest_call_success(request_type):
  "ports": [{"container_port": 1511}],
  "predict_route": "predict_route_value",
  "health_route": "health_route_value",
+ "invoke_route_prefix": "invoke_route_prefix_value",
  "grpc_ports": {},
  "deployment_timeout": {"seconds": 751, "nanos": 543},
  "shared_memory_size_mb": 2231,
@@ -12070,6 +12071,7 @@ async def test_create_training_pipeline_rest_asyncio_call_success(request_type):
  "ports": [{"container_port": 1511}],
  "predict_route": "predict_route_value",
  "health_route": "health_route_value",
+ "invoke_route_prefix": "invoke_route_prefix_value",
  "grpc_ports": {},
  "deployment_timeout": {"seconds": 751, "nanos": 543},
  "shared_memory_size_mb": 2231,