feat: Automated regeneration of AIPlatform client (googleapis#12951)

Auto-created at 2025-02-11 13:15:19 +0000 using the toys pull request generator.

Author: yoshi-code-bot

clients/ai_platform/lib/google_api/ai_platform/v1/api/projects.ex

@@ -6131,7 +6131,7 @@ defmodule GoogleApi.AIPlatform.V1.Api.Projects do
       *   `:quotaUser` (*type:* `String.t`) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
       *   `:uploadType` (*type:* `String.t`) - Legacy upload protocol for media (e.g. "media", "multipart").
       *   `:upload_protocol` (*type:* `String.t`) - Upload protocol for media (e.g. "raw", "multipart").
-      *   `:updateMask` (*type:* `String.t`) - Field mask is used to specify the fields to be overwritten in the FeatureGroup resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: * `labels` * `description` * `big_query` * `big_query.entity_id_columns`
+      *   `:updateMask` (*type:* `String.t`) - Field mask is used to specify the fields to be overwritten in the FeatureGroup resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: * `labels` * `description` * `big_query` * `big_query.entity_id_columns` * `service_agent_type`
       *   `:body` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1FeatureGroup.t`) - 
   *   `opts` (*type:* `keyword()`) - Call options
 

clients/ai_platform/lib/google_api/ai_platform/v1/metadata.ex

@@ -20,7 +20,7 @@ defmodule GoogleApi.AIPlatform.V1 do
   API client metadata for GoogleApi.AIPlatform.V1.
   """
 
-  @discovery_revision "20250131"
+  @discovery_revision "20250205"
 
   def discovery_revision(), do: @discovery_revision
 end

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_autorater_config.ex

@@ -0,0 +1,52 @@
+# Copyright 2019 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# NOTE: This file is auto generated by the elixir code generator program.
+# Do not edit this file manually.
+
+defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig do
+  @moduledoc """
+  The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+
+  ## Attributes
+
+  *   `autoraterModel` (*type:* `String.t`, *default:* `nil`) - Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+  *   `flipEnabled` (*type:* `boolean()`, *default:* `nil`) - Optional. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+  *   `samplingCount` (*type:* `integer()`, *default:* `nil`) - Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+  """
+
+  use GoogleApi.Gax.ModelBase
+
+  @type t :: %__MODULE__{
+          :autoraterModel => String.t() | nil,
+          :flipEnabled => boolean() | nil,
+          :samplingCount => integer() | nil
+        }
+
+  field(:autoraterModel)
+  field(:flipEnabled)
+  field(:samplingCount)
+end
+
+defimpl Poison.Decoder, for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig do
+  def decode(value, options) do
+    GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig.decode(value, options)
+  end
+end
+
+defimpl Poison.Encoder, for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig do
+  def encode(value, options) do
+    GoogleApi.Gax.ModelBase.encode(value, options)
+  end
+end

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_evaluate_instances_request.ex

@@ -21,6 +21,7 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluateInstances
 
   ## Attributes
 
+  *   `autoraterConfig` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig.t`, *default:* `nil`) - Optional. Autorater config used for evaluation.
   *   `bleuInput` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BleuInput.t`, *default:* `nil`) - Instances and metric spec for bleu metric.
   *   `coherenceInput` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CoherenceInput.t`, *default:* `nil`) - Input for coherence metric.
   *   `cometInput` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CometInput.t`, *default:* `nil`) - Translation metrics. Input for Comet metric.
@@ -57,6 +58,8 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluateInstances
   use GoogleApi.Gax.ModelBase
 
   @type t :: %__MODULE__{
+          :autoraterConfig =>
+            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig.t() | nil,
           :bleuInput => GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BleuInput.t() | nil,
           :coherenceInput =>
             GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CoherenceInput.t() | nil,
@@ -136,6 +139,8 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluateInstances
             | nil
         }
 
+  field(:autoraterConfig, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig)
+
   field(:bleuInput, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BleuInput)
   field(:coherenceInput, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CoherenceInput)
   field(:cometInput, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CometInput)

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_machine_spec.ex

@@ -24,6 +24,7 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1MachineSpec do
   *   `acceleratorCount` (*type:* `integer()`, *default:* `nil`) - The number of accelerators to attach to the machine.
   *   `acceleratorType` (*type:* `String.t`, *default:* `nil`) - Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
   *   `machineType` (*type:* `String.t`, *default:* `nil`) - Immutable. The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For DeployedModel this field is optional, and the default value is `n1-standard-2`. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
+  *   `multihostGpuNodeCount` (*type:* `integer()`, *default:* `nil`) - Optional. Immutable. The number of nodes per replica for multihost GPU deployments.
   *   `reservationAffinity` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReservationAffinity.t`, *default:* `nil`) - Optional. Immutable. Configuration controlling how this resource pool consumes reservation.
   *   `tpuTopology` (*type:* `String.t`, *default:* `nil`) - Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
   """
@@ -34,6 +35,7 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1MachineSpec do
           :acceleratorCount => integer() | nil,
           :acceleratorType => String.t() | nil,
           :machineType => String.t() | nil,
+          :multihostGpuNodeCount => integer() | nil,
           :reservationAffinity =>
             GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReservationAffinity.t() | nil,
           :tpuTopology => String.t() | nil
@@ -42,6 +44,7 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1MachineSpec do
   field(:acceleratorCount)
   field(:acceleratorType)
   field(:machineType)
+  field(:multihostGpuNodeCount)
 
   field(:reservationAffinity,
     as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReservationAffinity

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_model_export_format.ex

@@ -22,7 +22,7 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelExportFormat
   ## Attributes
 
   *   `exportableContents` (*type:* `list(String.t)`, *default:* `nil`) - Output only. The content of this Model that may be exported.
-  *   `id` (*type:* `String.t`, *default:* `nil`) - Output only. The ID of the export format. The possible format IDs are: * `tflite` Used for Android mobile devices. * `edgetpu-tflite` Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices. * `tf-saved-model` A tensorflow model in SavedModel format. * `tf-js` A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used in the browser and in Node.js using JavaScript. * `core-ml` Used for iOS mobile devices. * `custom-trained` A Model that was uploaded or trained by custom code.
+  *   `id` (*type:* `String.t`, *default:* `nil`) - Output only. The ID of the export format. The possible format IDs are: * `tflite` Used for Android mobile devices. * `edgetpu-tflite` Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices. * `tf-saved-model` A tensorflow model in SavedModel format. * `tf-js` A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used in the browser and in Node.js using JavaScript. * `core-ml` Used for iOS mobile devices. * `custom-trained` A Model that was uploaded or trained by custom code. * `genie` A tuned Model Garden model.
   """
 
   use GoogleApi.Gax.ModelBase

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_pairwise_metric_spec.ex

@@ -21,16 +21,25 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1PairwiseMetricSpe
 
   ## Attributes
 
+  *   `baselineResponseFieldName` (*type:* `String.t`, *default:* `nil`) - Optional. The field name of the baseline response.
+  *   `candidateResponseFieldName` (*type:* `String.t`, *default:* `nil`) - Optional. The field name of the candidate response.
   *   `metricPromptTemplate` (*type:* `String.t`, *default:* `nil`) - Required. Metric prompt template for pairwise metric.
+  *   `systemInstruction` (*type:* `String.t`, *default:* `nil`) - Optional. System instructions for pairwise metric.
   """
 
   use GoogleApi.Gax.ModelBase
 
   @type t :: %__MODULE__{
-          :metricPromptTemplate => String.t() | nil
+          :baselineResponseFieldName => String.t() | nil,
+          :candidateResponseFieldName => String.t() | nil,
+          :metricPromptTemplate => String.t() | nil,
+          :systemInstruction => String.t() | nil
         }
 
+  field(:baselineResponseFieldName)
+  field(:candidateResponseFieldName)
   field(:metricPromptTemplate)
+  field(:systemInstruction)
 end
 
 defimpl Poison.Decoder,

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_pointwise_metric_spec.ex

@@ -22,15 +22,18 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1PointwiseMetricSp
   ## Attributes
 
   *   `metricPromptTemplate` (*type:* `String.t`, *default:* `nil`) - Required. Metric prompt template for pointwise metric.
+  *   `systemInstruction` (*type:* `String.t`, *default:* `nil`) - Optional. System instructions for pointwise metric.
   """
 
   use GoogleApi.Gax.ModelBase
 
   @type t :: %__MODULE__{
-          :metricPromptTemplate => String.t() | nil
+          :metricPromptTemplate => String.t() | nil,
+          :systemInstruction => String.t() | nil
         }
 
   field(:metricPromptTemplate)
+  field(:systemInstruction)
 end
 
 defimpl Poison.Decoder,

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_probe.ex

@@ -22,9 +22,12 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1Probe do
   ## Attributes
 
   *   `exec` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeExecAction.t`, *default:* `nil`) - ExecAction probes the health of a container by executing a command.
+  *   `failureThreshold` (*type:* `integer()`, *default:* `nil`) - Number of consecutive failures before the probe is considered failed. Defaults to 3. Minimum value is 1. Maps to Kubernetes probe argument 'failureThreshold'.
   *   `grpc` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeGrpcAction.t`, *default:* `nil`) - GrpcAction probes the health of a container by sending a gRPC request.
   *   `httpGet` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeHttpGetAction.t`, *default:* `nil`) - HttpGetAction probes the health of a container by sending an HTTP GET request.
+  *   `initialDelaySeconds` (*type:* `integer()`, *default:* `nil`) - Number of seconds to wait before starting the probe. Defaults to 0. Minimum value is 0. Maps to Kubernetes probe argument 'initialDelaySeconds'.
   *   `periodSeconds` (*type:* `integer()`, *default:* `nil`) - 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'.
+  *   `successThreshold` (*type:* `integer()`, *default:* `nil`) - Number of consecutive successes before the probe is considered successful. Defaults to 1. Minimum value is 1. Maps to Kubernetes probe argument 'successThreshold'.
   *   `tcpSocket` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeTcpSocketAction.t`, *default:* `nil`) - TcpSocketAction probes the health of a container by opening a TCP socket connection.
   *   `timeoutSeconds` (*type:* `integer()`, *default:* `nil`) - 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'.
   """
@@ -33,19 +36,25 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1Probe do
 
   @type t :: %__MODULE__{
           :exec => GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeExecAction.t() | nil,
+          :failureThreshold => integer() | nil,
           :grpc => GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeGrpcAction.t() | nil,
           :httpGet =>
             GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeHttpGetAction.t() | nil,
+          :initialDelaySeconds => integer() | nil,
           :periodSeconds => integer() | nil,
+          :successThreshold => integer() | nil,
           :tcpSocket =>
             GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeTcpSocketAction.t() | nil,
           :timeoutSeconds => integer() | nil
         }
 
   field(:exec, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeExecAction)
+  field(:failureThreshold)
   field(:grpc, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeGrpcAction)
   field(:httpGet, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeHttpGetAction)
+  field(:initialDelaySeconds)
   field(:periodSeconds)
+  field(:successThreshold)
   field(:tcpSocket, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ProbeTcpSocketAction)
   field(:timeoutSeconds)
 end