From 0fbab090c86f7d713e53999fc677ccd1bd6a7d4a Mon Sep 17 00:00:00 2001 From: Yoshi Automation Date: Tue, 17 Dec 2024 07:10:17 +0000 Subject: [PATCH] feat(aiplatform): update the api #### aiplatform:v1 The following keys were deleted: - schemas.GoogleCloudAiplatformV1GenerationConfig.properties.tokenResolution.type (Total Keys: 1) The following keys were added: - resources.projects.resources.locations.resources.reasoningEngines.methods.streamQuery (Total Keys: 12) - schemas.GoogleCloudAiplatformV1GenerationConfig.properties.mediaResolution.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1ModelContainerSpec.properties.livenessProbe.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1Probe.properties.grpc.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1Probe.properties.httpGet.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1Probe.properties.tcpSocket.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1ProbeGrpcAction (Total Keys: 5) - schemas.GoogleCloudAiplatformV1ProbeHttpGetAction (Total Keys: 9) - schemas.GoogleCloudAiplatformV1ProbeHttpHeader (Total Keys: 4) - schemas.GoogleCloudAiplatformV1ProbeTcpSocketAction (Total Keys: 5) - schemas.GoogleCloudAiplatformV1StreamQueryReasoningEngineRequest (Total Keys: 5) The following keys were changed: - endpoints (Total Keys: 1) #### aiplatform:v1beta1 The following keys were deleted: - schemas.GoogleCloudAiplatformV1beta1GenerationConfig.properties.tokenResolution.type (Total Keys: 1) The following keys were added: - resources.projects.resources.locations.resources.featureGroups.methods.getIamPolicy (Total Keys: 14) - resources.projects.resources.locations.resources.featureGroups.methods.setIamPolicy (Total Keys: 12) - resources.projects.resources.locations.resources.featureGroups.methods.testIamPermissions (Total Keys: 14) - schemas.GoogleCloudAiplatformV1beta1AuthConfigApiKeyConfig.properties.apiKeyString.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1GenerationConfig.properties.mediaResolution.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1ModelContainerSpec.properties.livenessProbe.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1Probe.properties.grpc.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1Probe.properties.httpGet.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1Probe.properties.tcpSocket.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1ProbeGrpcAction (Total Keys: 5) - schemas.GoogleCloudAiplatformV1beta1ProbeHttpGetAction (Total Keys: 9) - schemas.GoogleCloudAiplatformV1beta1ProbeHttpHeader (Total Keys: 4) - schemas.GoogleCloudAiplatformV1beta1ProbeTcpSocketAction (Total Keys: 5) The following keys were changed: - endpoints (Total Keys: 1) --- docs/dyn/aiplatform_v1.datasets.html | 12 +- docs/dyn/aiplatform_v1.endpoints.html | 6 +- ...rojects.locations.batchPredictionJobs.html | 276 ++++++++++ ...atform_v1.projects.locations.datasets.html | 12 +- ...tform_v1.projects.locations.endpoints.html | 6 +- ...platform_v1.projects.locations.models.html | 483 ++++++++++++++++++ ....projects.locations.publishers.models.html | 6 +- ...1.projects.locations.reasoningEngines.html | 38 ++ ....projects.locations.trainingPipelines.html | 276 ++++++++++ docs/dyn/aiplatform_v1.publishers.models.html | 144 +++++- docs/dyn/aiplatform_v1beta1.datasets.html | 12 +- docs/dyn/aiplatform_v1beta1.endpoints.html | 6 +- ...rojects.locations.batchPredictionJobs.html | 276 ++++++++++ ...m_v1beta1.projects.locations.datasets.html | 12 +- ..._v1beta1.projects.locations.endpoints.html | 6 +- ...v1beta1.projects.locations.extensions.html | 18 +- ...eta1.projects.locations.featureGroups.html | 124 +++++ ...orm_v1beta1.projects.locations.models.html | 483 ++++++++++++++++++ ....projects.locations.publishers.models.html | 6 +- ....projects.locations.trainingPipelines.html | 276 ++++++++++ .../aiplatform_v1beta1.publishers.models.html | 282 +++++++++- .../documents/aiplatform.v1.json | 186 ++++++- .../documents/aiplatform.v1beta1.json | 235 ++++++++- 23 files changed, 3086 insertions(+), 95 deletions(-) diff --git a/docs/dyn/aiplatform_v1.datasets.html b/docs/dyn/aiplatform_v1.datasets.html index 6b045493d42..1e653899819 100644 --- a/docs/dyn/aiplatform_v1.datasets.html +++ b/docs/dyn/aiplatform_v1.datasets.html @@ -130,7 +130,7 @@

Method Details

"metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`. "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/. "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets. - "name": "A String", # Output only. Identifier. The resource name of the Dataset. + "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` "satisfiesPzi": True or False, # Output only. Reserved for future use. "satisfiesPzs": True or False, # Output only. Reserved for future use. "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec. @@ -246,7 +246,7 @@

Method Details

"metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`. "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/. "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets. - "name": "A String", # Output only. Identifier. The resource name of the Dataset. + "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` "satisfiesPzi": True or False, # Output only. Reserved for future use. "satisfiesPzs": True or False, # Output only. Reserved for future use. "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec. @@ -304,7 +304,7 @@

Method Details

"metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`. "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/. "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets. - "name": "A String", # Output only. Identifier. The resource name of the Dataset. + "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` "satisfiesPzi": True or False, # Output only. Reserved for future use. "satisfiesPzs": True or False, # Output only. Reserved for future use. "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec. @@ -347,7 +347,7 @@

Method Details

Updates a Dataset.
 
 Args:
-  name: string, Output only. Identifier. The resource name of the Dataset. (required)
+  name: string, Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -367,7 +367,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -412,7 +412,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
diff --git a/docs/dyn/aiplatform_v1.endpoints.html b/docs/dyn/aiplatform_v1.endpoints.html
index 4a966e18293..229c117f5d1 100644
--- a/docs/dyn/aiplatform_v1.endpoints.html
+++ b/docs/dyn/aiplatform_v1.endpoints.html
@@ -218,6 +218,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -278,7 +279,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -497,6 +497,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -557,7 +558,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -936,6 +936,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -996,7 +997,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.batchPredictionJobs.html b/docs/dyn/aiplatform_v1.projects.locations.batchPredictionJobs.html
index 21208d3a5b5..6b776e7fb83 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.batchPredictionJobs.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.batchPredictionJobs.html
@@ -374,11 +374,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -392,7 +441,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -653,11 +722,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -671,7 +789,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -974,11 +1112,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -992,7 +1179,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -1266,11 +1473,60 @@ 
Method Details

                 "A String",
               ],
             },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
             "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
             "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
           },
           "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
           "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+          "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+            "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+              "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+                "A String",
+              ],
+            },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
+            "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
+            "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+          },
           "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
             { # Represents a network port in a container.
               "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1284,7 +1540,27 @@ 
Method Details

                 "A String",
               ],
             },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
             "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
             "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
           },
         },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.datasets.html b/docs/dyn/aiplatform_v1.projects.locations.datasets.html
index 146b93bed2e..30a05d5d8dc 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.datasets.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.datasets.html
@@ -163,7 +163,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -338,7 +338,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -453,7 +453,7 @@ 
Method Details

       "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
       "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
       "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-      "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+      "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
       "satisfiesPzi": True or False, # Output only. Reserved for future use.
       "satisfiesPzs": True or False, # Output only. Reserved for future use.
       "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -496,7 +496,7 @@ 
Method Details

   
Updates a Dataset.
 
 Args:
-  name: string, Output only. Identifier. The resource name of the Dataset. (required)
+  name: string, Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -516,7 +516,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -561,7 +561,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
diff --git a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
index 92908b2d8e2..39ceb9c4b78 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
@@ -285,6 +285,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -345,7 +346,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -1460,6 +1460,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -1520,7 +1521,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -3329,6 +3329,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -3389,7 +3390,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.models.html b/docs/dyn/aiplatform_v1.projects.locations.models.html
index 5e52d14041f..596fe983e4e 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.models.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.models.html
@@ -357,11 +357,60 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
     "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
     "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+    "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+      "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+        "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+          "A String",
+        ],
+      },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
+      "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
+      "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+    },
     "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
       { # Represents a network port in a container.
         "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -375,7 +424,27 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
   },
@@ -650,11 +719,60 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
         "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
         "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+        "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+          "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+            "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+              "A String",
+            ],
+          },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
+          "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
+          "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+        },
         "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
           { # Represents a network port in a container.
             "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -668,7 +786,27 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
       },
@@ -911,11 +1049,60 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
         "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
         "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+        "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+          "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+            "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+              "A String",
+            ],
+          },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
+          "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
+          "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+        },
         "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
           { # Represents a network port in a container.
             "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -929,7 +1116,27 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
       },
@@ -1202,11 +1409,60 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
     "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
     "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+    "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+      "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+        "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+          "A String",
+        ],
+      },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
+      "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
+      "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+    },
     "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
       { # Represents a network port in a container.
         "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1220,7 +1476,27 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
   },
@@ -1448,11 +1724,60 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
     "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
     "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+    "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+      "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+        "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+          "A String",
+        ],
+      },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
+      "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
+      "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+    },
     "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
       { # Represents a network port in a container.
         "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1466,7 +1791,27 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
   },
@@ -1693,11 +2038,60 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
     "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
     "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+    "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+      "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+        "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+          "A String",
+        ],
+      },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
+      "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
+      "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+    },
     "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
       { # Represents a network port in a container.
         "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1711,7 +2105,27 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
   },
@@ -2077,11 +2491,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -2095,7 +2558,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html b/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html
index b8c6815eeb9..bd898df98a5 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html
@@ -236,6 +236,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -296,7 +297,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -557,6 +557,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -617,7 +618,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -1305,6 +1305,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -1365,7 +1366,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.reasoningEngines.html b/docs/dyn/aiplatform_v1.projects.locations.reasoningEngines.html
index 32f2f8fe9bc..571b9d46046 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.reasoningEngines.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.reasoningEngines.html
@@ -103,6 +103,9 @@ 
Instance Methods

 

   query(name, body=None, x__xgafv=None)

 
Queries using a reasoning engine.

+

+  streamQuery(name, body=None, x__xgafv=None)

+
Streams queries using a reasoning engine.

 
Method Details

 

     close()
@@ -390,4 +393,39 @@ 
Method Details

 }

 
 
+

+    streamQuery(name, body=None, x__xgafv=None)
+  
Streams queries using a reasoning engine.
+
+Args:
+  name: string, Required. The name of the ReasoningEngine resource to use. Format: `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}` (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for ReasoningEngineExecutionService.StreamQuery.
+  "classMethod": "A String", # Optional. Class method to be used for the stream query. It is optional and defaults to "stream_query" if unspecified.
+  "input": { # Optional. Input content provided by users in JSON object format. Examples include text query, function calling parameters, media bytes, etc.
+    "a_key": "", # Properties of the object.
+  },
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
 
\ No newline at end of file
diff --git a/docs/dyn/aiplatform_v1.projects.locations.trainingPipelines.html b/docs/dyn/aiplatform_v1.projects.locations.trainingPipelines.html
index f080259be20..deb1d1fa34a 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.trainingPipelines.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.trainingPipelines.html
@@ -232,11 +232,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -250,7 +299,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -543,11 +612,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -561,7 +679,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -896,11 +1034,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -914,7 +1101,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -1221,11 +1428,60 @@ 
Method Details

                 "A String",
               ],
             },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
             "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
             "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
           },
           "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
           "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+          "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+            "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+              "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+                "A String",
+              ],
+            },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
+            "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
+            "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+          },
           "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
             { # Represents a network port in a container.
               "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1239,7 +1495,27 @@ 
Method Details

                 "A String",
               ],
             },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
             "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
             "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
           },
         },
diff --git a/docs/dyn/aiplatform_v1.publishers.models.html b/docs/dyn/aiplatform_v1.publishers.models.html
index 307c16ae28d..a11c86a8976 100644
--- a/docs/dyn/aiplatform_v1.publishers.models.html
+++ b/docs/dyn/aiplatform_v1.publishers.models.html
@@ -221,6 +221,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -281,7 +282,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -500,6 +500,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -560,7 +561,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -970,11 +970,60 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
         "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
         "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+        "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+          "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+            "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+              "A String",
+            ],
+          },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
+          "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
+          "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+        },
         "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
           { # Represents a network port in a container.
             "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -988,7 +1037,27 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
       },
@@ -1070,11 +1139,60 @@ 
Method Details

                   "A String",
                 ],
               },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
               "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
               "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
             },
             "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
             "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+            "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+              "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+                "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+                  "A String",
+                ],
+              },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
+              "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
+              "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+            },
             "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
               { # Represents a network port in a container.
                 "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1088,7 +1206,27 @@ 
Method Details

                   "A String",
                 ],
               },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
               "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
               "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
             },
           },
@@ -1334,6 +1472,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -1394,7 +1533,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
diff --git a/docs/dyn/aiplatform_v1beta1.datasets.html b/docs/dyn/aiplatform_v1beta1.datasets.html
index 82935e1b4d9..4810196b241 100644
--- a/docs/dyn/aiplatform_v1beta1.datasets.html
+++ b/docs/dyn/aiplatform_v1beta1.datasets.html
@@ -130,7 +130,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -246,7 +246,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -304,7 +304,7 @@ 
Method Details

       "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
       "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
       "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-      "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+      "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
       "satisfiesPzi": True or False, # Output only. Reserved for future use.
       "satisfiesPzs": True or False, # Output only. Reserved for future use.
       "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -347,7 +347,7 @@ 
Method Details

   
Updates a Dataset.
 
 Args:
-  name: string, Output only. Identifier. The resource name of the Dataset. (required)
+  name: string, Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -367,7 +367,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -412,7 +412,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
diff --git a/docs/dyn/aiplatform_v1beta1.endpoints.html b/docs/dyn/aiplatform_v1beta1.endpoints.html
index b26863b5947..b90c2c10a42 100644
--- a/docs/dyn/aiplatform_v1beta1.endpoints.html
+++ b/docs/dyn/aiplatform_v1beta1.endpoints.html
@@ -234,6 +234,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -294,7 +295,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -545,6 +545,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -605,7 +606,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -1027,6 +1027,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -1087,7 +1088,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.batchPredictionJobs.html b/docs/dyn/aiplatform_v1beta1.projects.locations.batchPredictionJobs.html
index 0cfbe96e430..01b01a2b7c7 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.batchPredictionJobs.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.batchPredictionJobs.html
@@ -504,11 +504,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -522,7 +571,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -913,11 +982,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -931,7 +1049,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -1364,11 +1502,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1382,7 +1569,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -1786,11 +1993,60 @@ 
Method Details

                 "A String",
               ],
             },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
             "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
             "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
           },
           "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
           "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+          "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+            "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+              "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+                "A String",
+              ],
+            },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
+            "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
+            "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+          },
           "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
             { # Represents a network port in a container.
               "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1804,7 +2060,27 @@ 
Method Details

                 "A String",
               ],
             },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
             "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
             "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
           },
         },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.html b/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.html
index 6c162c1b69a..3f0eb629c9d 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.html
@@ -163,7 +163,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -330,7 +330,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -445,7 +445,7 @@ 
Method Details

       "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
       "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
       "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-      "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+      "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
       "satisfiesPzi": True or False, # Output only. Reserved for future use.
       "satisfiesPzs": True or False, # Output only. Reserved for future use.
       "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -488,7 +488,7 @@ 
Method Details

   
Updates a Dataset.
 
 Args:
-  name: string, Output only. Identifier. The resource name of the Dataset. (required)
+  name: string, Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -508,7 +508,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -553,7 +553,7 @@ 
Method Details

   "metadataArtifact": "A String", # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   "metadataSchemaUri": "A String", # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   "modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  "name": "A String", # Output only. Identifier. The resource name of the Dataset.
+  "name": "A String", # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   "satisfiesPzi": True or False, # Output only. Reserved for future use.
   "satisfiesPzs": True or False, # Output only. Reserved for future use.
   "savedQueries": [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html
index fb3b36a84ce..2d2539a726e 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html
@@ -310,6 +310,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -370,7 +371,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -1656,6 +1656,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -1716,7 +1717,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -3689,6 +3689,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -3749,7 +3750,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.extensions.html b/docs/dyn/aiplatform_v1beta1.projects.locations.extensions.html
index 6f3cfb3fe90..1ffb3490876 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.extensions.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.extensions.html
@@ -163,7 +163,8 @@ 
Method Details

   },
   "runtimeAuthConfig": { # Auth configuration to run the extension. # Optional. Auth config provided at runtime to override the default value in Extension.manifest.auth_config. The AuthConfig.auth_type should match the value in Extension.manifest.auth_config.
     "apiKeyConfig": { # Config for authentication with API key. # Config for API key auth.
-      "apiKeySecret": "A String", # Required. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+      "apiKeySecret": "A String", # Optional. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If both `api_key_secret` and `api_key_string` are specified, this field takes precedence over `api_key_string`. - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+      "apiKeyString": "A String", # Optional. The API key to be used in the request directly.
       "httpElementLocation": "A String", # Required. The location of the API key.
       "name": "A String", # Required. The parameter name of the API key. E.g. If the API request is "https://example.com/act?api_key=", "api_key" would be the parameter name.
     },
@@ -301,7 +302,8 @@ 
Method Details

     },
     "authConfig": { # Auth configuration to run the extension. # Required. Immutable. Type of auth supported by this extension.
       "apiKeyConfig": { # Config for authentication with API key. # Config for API key auth.
-        "apiKeySecret": "A String", # Required. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+        "apiKeySecret": "A String", # Optional. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If both `api_key_secret` and `api_key_string` are specified, this field takes precedence over `api_key_string`. - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+        "apiKeyString": "A String", # Optional. The API key to be used in the request directly.
         "httpElementLocation": "A String", # Required. The location of the API key.
         "name": "A String", # Required. The parameter name of the API key. E.g. If the API request is "https://example.com/act?api_key=", "api_key" would be the parameter name.
       },
@@ -463,7 +465,8 @@ 
Method Details

     },
     "authConfig": { # Auth configuration to run the extension. # Required. Immutable. Type of auth supported by this extension.
       "apiKeyConfig": { # Config for authentication with API key. # Config for API key auth.
-        "apiKeySecret": "A String", # Required. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+        "apiKeySecret": "A String", # Optional. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If both `api_key_secret` and `api_key_string` are specified, this field takes precedence over `api_key_string`. - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+        "apiKeyString": "A String", # Optional. The API key to be used in the request directly.
         "httpElementLocation": "A String", # Required. The location of the API key.
         "name": "A String", # Required. The parameter name of the API key. E.g. If the API request is "https://example.com/act?api_key=", "api_key" would be the parameter name.
       },
@@ -664,7 +667,8 @@ 
Method Details

         },
         "authConfig": { # Auth configuration to run the extension. # Required. Immutable. Type of auth supported by this extension.
           "apiKeyConfig": { # Config for authentication with API key. # Config for API key auth.
-            "apiKeySecret": "A String", # Required. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+            "apiKeySecret": "A String", # Optional. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If both `api_key_secret` and `api_key_string` are specified, this field takes precedence over `api_key_string`. - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+            "apiKeyString": "A String", # Optional. The API key to be used in the request directly.
             "httpElementLocation": "A String", # Required. The location of the API key.
             "name": "A String", # Required. The parameter name of the API key. E.g. If the API request is "https://example.com/act?api_key=", "api_key" would be the parameter name.
           },
@@ -843,7 +847,8 @@ 
Method Details

     },
     "authConfig": { # Auth configuration to run the extension. # Required. Immutable. Type of auth supported by this extension.
       "apiKeyConfig": { # Config for authentication with API key. # Config for API key auth.
-        "apiKeySecret": "A String", # Required. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+        "apiKeySecret": "A String", # Optional. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If both `api_key_secret` and `api_key_string` are specified, this field takes precedence over `api_key_string`. - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+        "apiKeyString": "A String", # Optional. The API key to be used in the request directly.
         "httpElementLocation": "A String", # Required. The location of the API key.
         "name": "A String", # Required. The parameter name of the API key. E.g. If the API request is "https://example.com/act?api_key=", "api_key" would be the parameter name.
       },
@@ -1004,7 +1009,8 @@ 
Method Details

     },
     "authConfig": { # Auth configuration to run the extension. # Required. Immutable. Type of auth supported by this extension.
       "apiKeyConfig": { # Config for authentication with API key. # Config for API key auth.
-        "apiKeySecret": "A String", # Required. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+        "apiKeySecret": "A String", # Optional. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If both `api_key_secret` and `api_key_string` are specified, this field takes precedence over `api_key_string`. - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.
+        "apiKeyString": "A String", # Optional. The API key to be used in the request directly.
         "httpElementLocation": "A String", # Required. The location of the API key.
         "name": "A String", # Required. The parameter name of the API key. E.g. If the API request is "https://example.com/act?api_key=", "api_key" would be the parameter name.
       },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.featureGroups.html b/docs/dyn/aiplatform_v1beta1.projects.locations.featureGroups.html
index 095ea1e8394..90668ad7f7b 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.featureGroups.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.featureGroups.html
@@ -101,6 +101,9 @@ 
Instance Methods

 

   get(name, x__xgafv=None)

 
Gets details of a single FeatureGroup.

+

+  getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None)

+
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

 

   list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)

 
Lists FeatureGroups in a given project and location.

@@ -110,6 +113,12 @@ 
Instance Methods

 

   patch(name, body=None, updateMask=None, x__xgafv=None)

 
Updates the parameters of a single FeatureGroup.

+

+  setIamPolicy(resource, body=None, x__xgafv=None)

+
Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.

+

+  testIamPermissions(resource, permissions=None, x__xgafv=None)

+
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

 
Method Details

 

     close()
@@ -258,6 +267,41 @@ 
Method Details

 }

 
 
+

+    getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None)
+  
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  options_requestedPolicyVersion: integer, Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
+  "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+    { # Associates `members`, or principals, with a `role`.
+      "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+        "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+        "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+        "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+        "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+      },
+      "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+        "A String",
+      ],
+      "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+    },
+  ],
+  "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+  "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+}

+

+
 

     list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)
   
Lists FeatureGroups in a given project and location.
@@ -387,4 +431,84 @@ 
Method Details

 }

 

 
+

+    setIamPolicy(resource, body=None, x__xgafv=None)
+  
Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for `SetIamPolicy` method.
+  "policy": { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/). # REQUIRED: The complete policy to be applied to the `resource`. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.
+    "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+      { # Associates `members`, or principals, with a `role`.
+        "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+          "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+          "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+          "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+          "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+        },
+        "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+          "A String",
+        ],
+        "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+      },
+    ],
+    "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+    "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+  },
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
+  "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+    { # Associates `members`, or principals, with a `role`.
+      "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+        "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+        "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+        "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+        "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+      },
+      "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+        "A String",
+      ],
+      "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+    },
+  ],
+  "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+  "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+}

+

+
+

+    testIamPermissions(resource, permissions=None, x__xgafv=None)
+  
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  permissions: string, The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions). (repeated)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for `TestIamPermissions` method.
+  "permissions": [ # A subset of `TestPermissionsRequest.permissions` that the caller is allowed.
+    "A String",
+  ],
+}

+

+
 
\ No newline at end of file
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.models.html b/docs/dyn/aiplatform_v1beta1.projects.locations.models.html
index bd53558978d..5ca1abf0997 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.models.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.models.html
@@ -357,11 +357,60 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
     "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
     "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+    "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+      "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+        "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+          "A String",
+        ],
+      },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
+      "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
+      "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+    },
     "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
       { # Represents a network port in a container.
         "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -375,7 +424,27 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
   },
@@ -645,11 +714,60 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
         "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
         "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+        "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+          "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+            "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+              "A String",
+            ],
+          },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
+          "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
+          "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+        },
         "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
           { # Represents a network port in a container.
             "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -663,7 +781,27 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
       },
@@ -902,11 +1040,60 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
         "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
         "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+        "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+          "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+            "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+              "A String",
+            ],
+          },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
+          "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
+          "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+        },
         "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
           { # Represents a network port in a container.
             "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -920,7 +1107,27 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
       },
@@ -1189,11 +1396,60 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
     "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
     "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+    "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+      "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+        "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+          "A String",
+        ],
+      },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
+      "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
+      "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+    },
     "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
       { # Represents a network port in a container.
         "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1207,7 +1463,27 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
   },
@@ -1431,11 +1707,60 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
     "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
     "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+    "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+      "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+        "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+          "A String",
+        ],
+      },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
+      "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
+      "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+    },
     "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
       { # Represents a network port in a container.
         "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1449,7 +1774,27 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
   },
@@ -1672,11 +2017,60 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
     "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
     "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+    "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+      "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+        "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+          "A String",
+        ],
+      },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
+      "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
+      "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+    },
     "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
       { # Represents a network port in a container.
         "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1690,7 +2084,27 @@ 
Method Details

           "A String",
         ],
       },
+      "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+        "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+        "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+      },
+      "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+        "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+        "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+          { # HttpHeader describes a custom header to be used in HTTP probes
+            "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+            "value": "A String", # The header field value
+          },
+        ],
+        "path": "A String", # Path to access on the HTTP server.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+      },
       "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+      "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+        "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+        "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+      },
       "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
     },
   },
@@ -2057,11 +2471,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -2075,7 +2538,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html b/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html
index 341b6c94c74..7950982f9c7 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html
@@ -255,6 +255,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -315,7 +316,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -608,6 +608,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -668,7 +669,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -1434,6 +1434,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -1494,7 +1495,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.trainingPipelines.html b/docs/dyn/aiplatform_v1beta1.projects.locations.trainingPipelines.html
index c3626b9756d..be70aa5a5ee 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.trainingPipelines.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.trainingPipelines.html
@@ -232,11 +232,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -250,7 +299,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -539,11 +608,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -557,7 +675,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -888,11 +1026,60 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
       "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
       "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+      "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+        "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+          "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+            "A String",
+          ],
+        },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
+        "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
+        "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+      },
       "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         { # Represents a network port in a container.
           "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -906,7 +1093,27 @@ 
Method Details

             "A String",
           ],
         },
+        "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+          "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+          "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+        },
+        "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+          "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+          "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+            { # HttpHeader describes a custom header to be used in HTTP probes
+              "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+              "value": "A String", # The header field value
+            },
+          ],
+          "path": "A String", # Path to access on the HTTP server.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+        },
         "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+        "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+          "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+          "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+        },
         "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
       },
     },
@@ -1209,11 +1416,60 @@ 
Method Details

                 "A String",
               ],
             },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
             "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
             "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
           },
           "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
           "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+          "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+            "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+              "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+                "A String",
+              ],
+            },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
+            "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
+            "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+          },
           "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
             { # Represents a network port in a container.
               "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1227,7 +1483,27 @@ 
Method Details

                 "A String",
               ],
             },
+            "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+              "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+              "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+            },
+            "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+              "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+              "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                { # HttpHeader describes a custom header to be used in HTTP probes
+                  "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                  "value": "A String", # The header field value
+                },
+              ],
+              "path": "A String", # Path to access on the HTTP server.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+            },
             "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+            "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+              "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+              "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            },
             "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
           },
         },
diff --git a/docs/dyn/aiplatform_v1beta1.publishers.models.html b/docs/dyn/aiplatform_v1beta1.publishers.models.html
index 5c1e6fe5f88..e03e3a9f453 100644
--- a/docs/dyn/aiplatform_v1beta1.publishers.models.html
+++ b/docs/dyn/aiplatform_v1beta1.publishers.models.html
@@ -243,6 +243,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -303,7 +304,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -554,6 +554,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -614,7 +615,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -1068,11 +1068,60 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
         "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
         "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+        "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+          "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+            "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+              "A String",
+            ],
+          },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
+          "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
+          "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+        },
         "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
           { # Represents a network port in a container.
             "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1086,7 +1135,27 @@ 
Method Details

               "A String",
             ],
           },
+          "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+            "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+            "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+          },
+          "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+            "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+            "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+              { # HttpHeader describes a custom header to be used in HTTP probes
+                "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                "value": "A String", # The header field value
+              },
+            ],
+            "path": "A String", # Path to access on the HTTP server.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+            "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+          },
           "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+          "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+            "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+            "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+          },
           "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
         },
       },
@@ -1168,11 +1237,60 @@ 
Method Details

                   "A String",
                 ],
               },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
               "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
               "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
             },
             "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
             "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+            "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+              "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+                "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+                  "A String",
+                ],
+              },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
+              "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
+              "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+            },
             "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
               { # Represents a network port in a container.
                 "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1186,7 +1304,27 @@ 
Method Details

                   "A String",
                 ],
               },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
               "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
               "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
             },
           },
@@ -1478,11 +1616,60 @@ 
Method Details

                   "A String",
                 ],
               },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
               "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
               "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
             },
             "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
             "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+            "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+              "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+                "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+                  "A String",
+                ],
+              },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
+              "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
+              "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+            },
             "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
               { # Represents a network port in a container.
                 "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1496,7 +1683,27 @@ 
Method Details

                   "A String",
                 ],
               },
+              "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+              },
+              "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                  { # HttpHeader describes a custom header to be used in HTTP probes
+                    "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                    "value": "A String", # The header field value
+                  },
+                ],
+                "path": "A String", # Path to access on the HTTP server.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+              },
               "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+              "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+              },
               "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
             },
           },
@@ -1578,11 +1785,60 @@ 
Method Details

                       "A String",
                     ],
                   },
+                  "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                    "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                    "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+                  },
+                  "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                    "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                    "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                      { # HttpHeader describes a custom header to be used in HTTP probes
+                        "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                        "value": "A String", # The header field value
+                      },
+                    ],
+                    "path": "A String", # Path to access on the HTTP server.
+                    "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                    "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+                  },
                   "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+                  "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                    "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                    "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                  },
                   "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
                 },
                 "healthRoute": "A String", # Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s ports field. If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: /v1/endpoints/ENDPOINT/deployedModels/ DEPLOYED_MODEL:predict The placeholders in this value are replaced as follows: * ENDPOINT: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * DEPLOYED_MODEL: DeployedModel.id of the `DeployedModel`. (Vertex AI makes this value 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).)
                 "imageUri": "A String", # Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
+                "livenessProbe": { # Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic. # Immutable. Specification for Kubernetes liveness probe.
+                  "exec": { # ExecAction specifies a command to execute. # ExecAction probes the health of a container by executing a command.
+                    "command": [ # Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
+                      "A String",
+                    ],
+                  },
+                  "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                    "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                    "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+                  },
+                  "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                    "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                    "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                      { # HttpHeader describes a custom header to be used in HTTP probes
+                        "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                        "value": "A String", # The header field value
+                      },
+                    ],
+                    "path": "A String", # Path to access on the HTTP server.
+                    "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                    "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+                  },
+                  "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+                  "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                    "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                    "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                  },
+                  "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
+                },
                 "ports": [ # Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { "containerPort": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
                   { # Represents a network port in a container.
                     "containerPort": 42, # The number of the port to expose on the pod's IP address. Must be a valid port number, between 1 and 65535 inclusive.
@@ -1596,7 +1852,27 @@ 
Method Details

                       "A String",
                     ],
                   },
+                  "grpc": { # GrpcAction checks the health of a container using a gRPC service. # GrpcAction probes the health of a container by sending a gRPC request.
+                    "port": 42, # Port number of the gRPC service. Number must be in the range 1 to 65535.
+                    "service": "A String", # Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.
+                  },
+                  "httpGet": { # HttpGetAction describes an action based on HTTP Get requests. # HttpGetAction probes the health of a container by sending an HTTP GET request.
+                    "host": "A String", # Host name to connect to, defaults to the model serving container's IP. You probably want to set "Host" in httpHeaders instead.
+                    "httpHeaders": [ # Custom headers to set in the request. HTTP allows repeated headers.
+                      { # HttpHeader describes a custom header to be used in HTTP probes
+                        "name": "A String", # The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.
+                        "value": "A String", # The header field value
+                      },
+                    ],
+                    "path": "A String", # Path to access on the HTTP server.
+                    "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                    "scheme": "A String", # Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
+                  },
                   "periodSeconds": 42, # How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.
+                  "tcpSocket": { # TcpSocketAction probes the health of a container by opening a TCP socket connection. # TcpSocketAction probes the health of a container by opening a TCP socket connection.
+                    "host": "A String", # Optional: Host name to connect to, defaults to the model serving container's IP.
+                    "port": 42, # Number of the port to access on the container. Number must be in the range 1 to 65535.
+                  },
                   "timeoutSeconds": 42, # Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.
                 },
               },
@@ -1866,6 +2142,7 @@ 
Method Details

     "frequencyPenalty": 3.14, # Optional. Frequency penalties.
     "logprobs": 42, # Optional. Logit probabilities.
     "maxOutputTokens": 42, # Optional. The maximum number of output tokens to generate per message.
+    "mediaResolution": "A String", # Optional. If specified, the media resolution specified will be used.
     "presencePenalty": 3.14, # Optional. Positive penalties.
     "responseLogprobs": True or False, # Optional. If true, export the logprobs results in response.
     "responseMimeType": "A String", # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -1926,7 +2203,6 @@ 
Method Details

       "A String",
     ],
     "temperature": 3.14, # Optional. Controls the randomness of predictions.
-    "tokenResolution": "A String", # Optional. If specified, the token resolution specified will be used.
     "topK": 3.14, # Optional. If specified, top-k sampling will be used.
     "topP": 3.14, # Optional. If specified, nucleus sampling will be used.
   },
diff --git a/googleapiclient/discovery_cache/documents/aiplatform.v1.json b/googleapiclient/discovery_cache/documents/aiplatform.v1.json
index b34cfd8f008..f696e7098ca 100644
--- a/googleapiclient/discovery_cache/documents/aiplatform.v1.json
+++ b/googleapiclient/discovery_cache/documents/aiplatform.v1.json
@@ -186,6 +186,11 @@
 },
 {
 "description": "Locational Endpoint",
+"endpointUrl": "https://us-east7-aiplatform.googleapis.com/",
+"location": "us-east7"
+},
+{
+"description": "Locational Endpoint",
 "endpointUrl": "https://us-south1-aiplatform.googleapis.com/",
 "location": "us-south1"
 },
@@ -445,7 +450,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Output only. Identifier. The resource name of the Dataset.",
+"description": "Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`",
 "location": "path",
 "pattern": "^datasets/[^/]+$",
 "required": true,
@@ -2211,7 +2216,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Output only. Identifier. The resource name of the Dataset.",
+"description": "Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$",
 "required": true,
@@ -15346,6 +15351,34 @@
 "scopes": [
 "https://www.googleapis.com/auth/cloud-platform"
 ]
+},
+"streamQuery": {
+"description": "Streams queries using a reasoning engine.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/reasoningEngines/{reasoningEnginesId}:streamQuery",
+"httpMethod": "POST",
+"id": "aiplatform.projects.locations.reasoningEngines.streamQuery",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. The name of the ReasoningEngine resource to use. Format: `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/reasoningEngines/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}:streamQuery",
+"request": {
+"$ref": "GoogleCloudAiplatformV1StreamQueryReasoningEngineRequest"
+},
+"response": {
+"$ref": "GoogleApiHttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
 }
 },
 "resources": {
@@ -19294,7 +19327,7 @@
 }
 }
 },
-"revision": "20241203",
+"revision": "20241210",
 "rootUrl": "https://aiplatform.googleapis.com/",
 "schemas": {
 "CloudAiLargeModelsVisionGenerateVideoResponse": {
@@ -22655,7 +22688,7 @@
 "type": "string"
 },
 "name": {
-"description": "Output only. Identifier. The resource name of the Dataset.",
+"description": "Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`",
 "readOnly": true,
 "type": "string"
 },
@@ -26859,6 +26892,22 @@
 "format": "int32",
 "type": "integer"
 },
+"mediaResolution": {
+"description": "Optional. If specified, the media resolution specified will be used.",
+"enum": [
+"MEDIA_RESOLUTION_UNSPECIFIED",
+"MEDIA_RESOLUTION_LOW",
+"MEDIA_RESOLUTION_MEDIUM",
+"MEDIA_RESOLUTION_HIGH"
+],
+"enumDescriptions": [
+"Media resolution has not been set.",
+"Media resolution set to low (64 tokens).",
+"Media resolution set to medium (256 tokens).",
+"Media resolution set to high (zoomed reframing with 256 tokens)."
+],
+"type": "string"
+},
 "presencePenalty": {
 "description": "Optional. Positive penalties.",
 "format": "float",
@@ -26920,22 +26969,6 @@
 "format": "float",
 "type": "number"
 },
-"tokenResolution": {
-"description": "Optional. If specified, the token resolution specified will be used.",
-"enum": [
-"TOKEN_RESOLUTION_UNSPECIFIED",
-"TOKEN_RESOLUTION_LOW",
-"TOKEN_RESOLUTION_MEDIUM",
-"TOKEN_RESOLUTION_HIGH"
-],
-"enumDescriptions": [
-"Token resolution has not been set.",
-"Token resolution set to low (64 tokens).",
-"Token resolution set to medium (256 tokens).",
-"Token resolution set to high (P&S with 256 tokens)."
-],
-"type": "string"
-},
 "topK": {
 "description": "Optional. If specified, top-k sampling will be used.",
 "format": "float",
@@ -30070,6 +30103,10 @@ false
 "description": "Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.",
 "type": "string"
 },
+"livenessProbe": {
+"$ref": "GoogleCloudAiplatformV1Probe",
+"description": "Immutable. Specification for Kubernetes liveness probe."
+},
 "ports": {
 "description": "Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { \"containerPort\": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).",
 "items": {
@@ -33436,11 +33473,23 @@ false
 "$ref": "GoogleCloudAiplatformV1ProbeExecAction",
 "description": "ExecAction probes the health of a container by executing a command."
 },
+"grpc": {
+"$ref": "GoogleCloudAiplatformV1ProbeGrpcAction",
+"description": "GrpcAction probes the health of a container by sending a gRPC request."
+},
+"httpGet": {
+"$ref": "GoogleCloudAiplatformV1ProbeHttpGetAction",
+"description": "HttpGetAction probes the health of a container by sending an HTTP GET request."
+},
 "periodSeconds": {
 "description": "How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.",
 "format": "int32",
 "type": "integer"
 },
+"tcpSocket": {
+"$ref": "GoogleCloudAiplatformV1ProbeTcpSocketAction",
+"description": "TcpSocketAction probes the health of a container by opening a TCP socket connection."
+},
 "timeoutSeconds": {
 "description": "Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.",
 "format": "int32",
@@ -33463,6 +33512,84 @@ false
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1ProbeGrpcAction": {
+"description": "GrpcAction checks the health of a container using a gRPC service.",
+"id": "GoogleCloudAiplatformV1ProbeGrpcAction",
+"properties": {
+"port": {
+"description": "Port number of the gRPC service. Number must be in the range 1 to 65535.",
+"format": "int32",
+"type": "integer"
+},
+"service": {
+"description": "Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudAiplatformV1ProbeHttpGetAction": {
+"description": "HttpGetAction describes an action based on HTTP Get requests.",
+"id": "GoogleCloudAiplatformV1ProbeHttpGetAction",
+"properties": {
+"host": {
+"description": "Host name to connect to, defaults to the model serving container's IP. You probably want to set \"Host\" in httpHeaders instead.",
+"type": "string"
+},
+"httpHeaders": {
+"description": "Custom headers to set in the request. HTTP allows repeated headers.",
+"items": {
+"$ref": "GoogleCloudAiplatformV1ProbeHttpHeader"
+},
+"type": "array"
+},
+"path": {
+"description": "Path to access on the HTTP server.",
+"type": "string"
+},
+"port": {
+"description": "Number of the port to access on the container. Number must be in the range 1 to 65535.",
+"format": "int32",
+"type": "integer"
+},
+"scheme": {
+"description": "Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are \"HTTP\" or \"HTTPS\".",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudAiplatformV1ProbeHttpHeader": {
+"description": "HttpHeader describes a custom header to be used in HTTP probes",
+"id": "GoogleCloudAiplatformV1ProbeHttpHeader",
+"properties": {
+"name": {
+"description": "The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.",
+"type": "string"
+},
+"value": {
+"description": "The header field value",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudAiplatformV1ProbeTcpSocketAction": {
+"description": "TcpSocketAction probes the health of a container by opening a TCP socket connection.",
+"id": "GoogleCloudAiplatformV1ProbeTcpSocketAction",
+"properties": {
+"host": {
+"description": "Optional: Host name to connect to, defaults to the model serving container's IP.",
+"type": "string"
+},
+"port": {
+"description": "Number of the port to access on the container. Number must be in the range 1 to 65535.",
+"format": "int32",
+"type": "integer"
+}
+},
+"type": "object"
+},
 "GoogleCloudAiplatformV1PscAutomatedEndpoints": {
 "description": "PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.",
 "id": "GoogleCloudAiplatformV1PscAutomatedEndpoints",
@@ -40750,6 +40877,25 @@ false
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1StreamQueryReasoningEngineRequest": {
+"description": "Request message for ReasoningEngineExecutionService.StreamQuery.",
+"id": "GoogleCloudAiplatformV1StreamQueryReasoningEngineRequest",
+"properties": {
+"classMethod": {
+"description": "Optional. Class method to be used for the stream query. It is optional and defaults to \"stream_query\" if unspecified.",
+"type": "string"
+},
+"input": {
+"additionalProperties": {
+"description": "Properties of the object.",
+"type": "any"
+},
+"description": "Optional. Input content provided by users in JSON object format. Examples include text query, function calling parameters, media bytes, etc.",
+"type": "object"
+}
+},
+"type": "object"
+},
 "GoogleCloudAiplatformV1StreamRawPredictRequest": {
 "description": "Request message for PredictionService.StreamRawPredict.",
 "id": "GoogleCloudAiplatformV1StreamRawPredictRequest",
diff --git a/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json b/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json
index 1edbe657ea1..e8cf39d5fbf 100644
--- a/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json
@@ -186,6 +186,11 @@
 },
 {
 "description": "Locational Endpoint",
+"endpointUrl": "https://us-east7-aiplatform.googleapis.com/",
+"location": "us-east7"
+},
+{
+"description": "Locational Endpoint",
 "endpointUrl": "https://us-south1-aiplatform.googleapis.com/",
 "location": "us-south1"
 },
@@ -445,7 +450,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Output only. Identifier. The resource name of the Dataset.",
+"description": "Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`",
 "location": "path",
 "pattern": "^datasets/[^/]+$",
 "required": true,
@@ -2550,7 +2555,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Output only. Identifier. The resource name of the Dataset.",
+"description": "Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$",
 "required": true,
@@ -6195,6 +6200,37 @@
 "https://www.googleapis.com/auth/cloud-platform"
 ]
 },
+"getIamPolicy": {
+"description": "Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.",
+"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureGroups/{featureGroupsId}:getIamPolicy",
+"httpMethod": "POST",
+"id": "aiplatform.projects.locations.featureGroups.getIamPolicy",
+"parameterOrder": [
+"resource"
+],
+"parameters": {
+"options.requestedPolicyVersion": {
+"description": "Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"resource": {
+"description": "REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/featureGroups/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta1/{+resource}:getIamPolicy",
+"response": {
+"$ref": "GoogleIamV1Policy"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
 "list": {
 "description": "Lists FeatureGroups in a given project and location.",
 "flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureGroups",
@@ -6274,6 +6310,65 @@
 "scopes": [
 "https://www.googleapis.com/auth/cloud-platform"
 ]
+},
+"setIamPolicy": {
+"description": "Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.",
+"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureGroups/{featureGroupsId}:setIamPolicy",
+"httpMethod": "POST",
+"id": "aiplatform.projects.locations.featureGroups.setIamPolicy",
+"parameterOrder": [
+"resource"
+],
+"parameters": {
+"resource": {
+"description": "REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/featureGroups/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta1/{+resource}:setIamPolicy",
+"request": {
+"$ref": "GoogleIamV1SetIamPolicyRequest"
+},
+"response": {
+"$ref": "GoogleIamV1Policy"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"testIamPermissions": {
+"description": "Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may \"fail open\" without warning.",
+"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureGroups/{featureGroupsId}:testIamPermissions",
+"httpMethod": "POST",
+"id": "aiplatform.projects.locations.featureGroups.testIamPermissions",
+"parameterOrder": [
+"resource"
+],
+"parameters": {
+"permissions": {
+"description": "The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).",
+"location": "query",
+"repeated": true,
+"type": "string"
+},
+"resource": {
+"description": "REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/featureGroups/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta1/{+resource}:testIamPermissions",
+"response": {
+"$ref": "GoogleIamV1TestIamPermissionsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
 }
 },
 "resources": {
@@ -21869,7 +21964,7 @@
 }
 }
 },
-"revision": "20241203",
+"revision": "20241210",
 "rootUrl": "https://aiplatform.googleapis.com/",
 "schemas": {
 "CloudAiLargeModelsVisionGenerateVideoResponse": {
@@ -22782,7 +22877,11 @@
 "id": "GoogleCloudAiplatformV1beta1AuthConfigApiKeyConfig",
 "properties": {
 "apiKeySecret": {
-"description": "Required. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.",
+"description": "Optional. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If both `api_key_secret` and `api_key_string` are specified, this field takes precedence over `api_key_string`. - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource.",
+"type": "string"
+},
+"apiKeyString": {
+"description": "Optional. The API key to be used in the request directly.",
 "type": "string"
 },
 "httpElementLocation": {
@@ -25517,7 +25616,7 @@
 "type": "string"
 },
 "name": {
-"description": "Output only. Identifier. The resource name of the Dataset.",
+"description": "Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`",
 "readOnly": true,
 "type": "string"
 },
@@ -30611,6 +30710,22 @@
 "format": "int32",
 "type": "integer"
 },
+"mediaResolution": {
+"description": "Optional. If specified, the media resolution specified will be used.",
+"enum": [
+"MEDIA_RESOLUTION_UNSPECIFIED",
+"MEDIA_RESOLUTION_LOW",
+"MEDIA_RESOLUTION_MEDIUM",
+"MEDIA_RESOLUTION_HIGH"
+],
+"enumDescriptions": [
+"Media resolution has not been set.",
+"Media resolution set to low (64 tokens).",
+"Media resolution set to medium (256 tokens).",
+"Media resolution set to high (zoomed reframing with 256 tokens)."
+],
+"type": "string"
+},
 "presencePenalty": {
 "description": "Optional. Positive penalties.",
 "format": "float",
@@ -30672,22 +30787,6 @@
 "format": "float",
 "type": "number"
 },
-"tokenResolution": {
-"description": "Optional. If specified, the token resolution specified will be used.",
-"enum": [
-"TOKEN_RESOLUTION_UNSPECIFIED",
-"TOKEN_RESOLUTION_LOW",
-"TOKEN_RESOLUTION_MEDIUM",
-"TOKEN_RESOLUTION_HIGH"
-],
-"enumDescriptions": [
-"Token resolution has not been set.",
-"Token resolution set to low (64 tokens).",
-"Token resolution set to medium (256 tokens).",
-"Token resolution set to high (P&S with 256 tokens)."
-],
-"type": "string"
-},
 "topK": {
 "description": "Optional. If specified, top-k sampling will be used.",
 "format": "float",
@@ -34002,6 +34101,10 @@ false
 "description": "Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.",
 "type": "string"
 },
+"livenessProbe": {
+"$ref": "GoogleCloudAiplatformV1beta1Probe",
+"description": "Immutable. Specification for Kubernetes liveness probe."
+},
 "ports": {
 "description": "Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends [liveness and health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) to this port. If you do not specify this field, it defaults to following value: ```json [ { \"containerPort\": 8080 } ] ``` Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).",
 "items": {
@@ -38332,11 +38435,23 @@ false
 "$ref": "GoogleCloudAiplatformV1beta1ProbeExecAction",
 "description": "ExecAction probes the health of a container by executing a command."
 },
+"grpc": {
+"$ref": "GoogleCloudAiplatformV1beta1ProbeGrpcAction",
+"description": "GrpcAction probes the health of a container by sending a gRPC request."
+},
+"httpGet": {
+"$ref": "GoogleCloudAiplatformV1beta1ProbeHttpGetAction",
+"description": "HttpGetAction probes the health of a container by sending an HTTP GET request."
+},
 "periodSeconds": {
 "description": "How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.",
 "format": "int32",
 "type": "integer"
 },
+"tcpSocket": {
+"$ref": "GoogleCloudAiplatformV1beta1ProbeTcpSocketAction",
+"description": "TcpSocketAction probes the health of a container by opening a TCP socket connection."
+},
 "timeoutSeconds": {
 "description": "Number of seconds after which the probe times out. Defaults to 1 second. Minimum value is 1. Must be greater or equal to period_seconds. Maps to Kubernetes probe argument 'timeoutSeconds'.",
 "format": "int32",
@@ -38359,6 +38474,84 @@ false
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1beta1ProbeGrpcAction": {
+"description": "GrpcAction checks the health of a container using a gRPC service.",
+"id": "GoogleCloudAiplatformV1beta1ProbeGrpcAction",
+"properties": {
+"port": {
+"description": "Port number of the gRPC service. Number must be in the range 1 to 65535.",
+"format": "int32",
+"type": "integer"
+},
+"service": {
+"description": "Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md). If this is not specified, the default behavior is defined by gRPC.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudAiplatformV1beta1ProbeHttpGetAction": {
+"description": "HttpGetAction describes an action based on HTTP Get requests.",
+"id": "GoogleCloudAiplatformV1beta1ProbeHttpGetAction",
+"properties": {
+"host": {
+"description": "Host name to connect to, defaults to the model serving container's IP. You probably want to set \"Host\" in httpHeaders instead.",
+"type": "string"
+},
+"httpHeaders": {
+"description": "Custom headers to set in the request. HTTP allows repeated headers.",
+"items": {
+"$ref": "GoogleCloudAiplatformV1beta1ProbeHttpHeader"
+},
+"type": "array"
+},
+"path": {
+"description": "Path to access on the HTTP server.",
+"type": "string"
+},
+"port": {
+"description": "Number of the port to access on the container. Number must be in the range 1 to 65535.",
+"format": "int32",
+"type": "integer"
+},
+"scheme": {
+"description": "Scheme to use for connecting to the host. Defaults to HTTP. Acceptable values are \"HTTP\" or \"HTTPS\".",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudAiplatformV1beta1ProbeHttpHeader": {
+"description": "HttpHeader describes a custom header to be used in HTTP probes",
+"id": "GoogleCloudAiplatformV1beta1ProbeHttpHeader",
+"properties": {
+"name": {
+"description": "The header field name. This will be canonicalized upon output, so case-variant names will be understood as the same header.",
+"type": "string"
+},
+"value": {
+"description": "The header field value",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudAiplatformV1beta1ProbeTcpSocketAction": {
+"description": "TcpSocketAction probes the health of a container by opening a TCP socket connection.",
+"id": "GoogleCloudAiplatformV1beta1ProbeTcpSocketAction",
+"properties": {
+"host": {
+"description": "Optional: Host name to connect to, defaults to the model serving container's IP.",
+"type": "string"
+},
+"port": {
+"description": "Number of the port to access on the container. Number must be in the range 1 to 65535.",
+"format": "int32",
+"type": "integer"
+}
+},
+"type": "object"
+},
 "GoogleCloudAiplatformV1beta1PscAutomatedEndpoints": {
 "description": "PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.",
 "id": "GoogleCloudAiplatformV1beta1PscAutomatedEndpoints",