feat: Automated regeneration of AIPlatform client (googleapis#13191)

Auto-created at 2025-03-19 13:22:36 +0000 using the toys pull request generator.

Author: yoshi-code-bot

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 "20250304"
+  @discovery_revision "20250307"
 
   def discovery_revision(), do: @discovery_revision
 end

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_import_rag_files_config.ex

@@ -23,6 +23,8 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ImportRagFilesCon
 
   *   `gcsSource` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GcsSource.t`, *default:* `nil`) - Google Cloud Storage location. Supports importing individual files as well as entire Google Cloud Storage directories. Sample formats: - `gs://bucket_name/my_directory/object_name/my_file.txt` - `gs://bucket_name/my_directory`
   *   `googleDriveSource` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GoogleDriveSource.t`, *default:* `nil`) - Google Drive location. Supports importing individual files as well as Google Drive folders.
+  *   `importResultBigquerySink` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BigQueryDestination.t`, *default:* `nil`) - The BigQuery destination to write import result to. It should be a bigquery table resource name (e.g. "bq://projectId.bqDatasetId.bqTableId"). The dataset must exist. If the table does not exist, it will be created with the expected schema. If the table exists, the schema will be validated and data will be added to this existing table.
+  *   `importResultGcsSink` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GcsDestination.t`, *default:* `nil`) - The Cloud Storage path to write import result to.
   *   `jiraSource` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1JiraSource.t`, *default:* `nil`) - Jira queries with their corresponding authentication.
   *   `maxEmbeddingRequestsPerMin` (*type:* `integer()`, *default:* `nil`) - Optional. The max number of queries per minute that this job is allowed to make to the embedding model specified on the corpus. This value is specific to this job and not shared across other import jobs. Consult the Quotas page on the project to set an appropriate value here. If unspecified, a default value of 1,000 QPM would be used.
   *   `partialFailureBigquerySink` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BigQueryDestination.t`, *default:* `nil`) - The BigQuery destination to write partial failures to. It should be a bigquery table resource name (e.g. "bq://projectId.bqDatasetId.bqTableId"). The dataset must exist. If the table does not exist, it will be created with the expected schema. If the table exists, the schema will be validated and data will be added to this existing table. Deprecated. Prefer to use `import_result_bq_sink`.
@@ -39,6 +41,10 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ImportRagFilesCon
           :gcsSource => GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GcsSource.t() | nil,
           :googleDriveSource =>
             GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GoogleDriveSource.t() | nil,
+          :importResultBigquerySink =>
+            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BigQueryDestination.t() | nil,
+          :importResultGcsSink =>
+            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GcsDestination.t() | nil,
           :jiraSource =>
             GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1JiraSource.t() | nil,
           :maxEmbeddingRequestsPerMin => integer() | nil,
@@ -63,6 +69,14 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ImportRagFilesCon
     as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GoogleDriveSource
   )
 
+  field(:importResultBigquerySink,
+    as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BigQueryDestination
+  )
+
+  field(:importResultGcsSink,
+    as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GcsDestination
+  )
+
   field(:jiraSource, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1JiraSource)
   field(:maxEmbeddingRequestsPerMin)
 

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_post_startup_script_config.ex

@@ -23,7 +23,7 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1PostStartupScript
 
   *   `postStartupScript` (*type:* `String.t`, *default:* `nil`) - Optional. Post startup script to run after runtime is started.
   *   `postStartupScriptBehavior` (*type:* `String.t`, *default:* `nil`) - Optional. Post startup script behavior that defines download and execution behavior.
-  *   `postStartupScriptUrl` (*type:* `String.t`, *default:* `nil`) - Optional. Post startup script url to download. Example: https://bucket/script.sh
+  *   `postStartupScriptUrl` (*type:* `String.t`, *default:* `nil`) - Optional. Post startup script url to download. Example: `gs://bucket/script.sh`
   """
 
   use GoogleApi.Gax.ModelBase

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_reasoning_engine_spec.ex

@@ -21,14 +21,16 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReasoningEngineSp
 
   ## Attributes
 
+  *   `agentFramework` (*type:* `String.t`, *default:* `nil`) - Optional. The OSS agent framework used to develop the agent. Currently supported values: "langchain", "langgraph", "ag2", "custom".
   *   `classMethods` (*type:* `list(map())`, *default:* `nil`) - Optional. Declarations for object class methods in OpenAPI specification format.
   *   `deploymentSpec` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReasoningEngineSpecDeploymentSpec.t`, *default:* `nil`) - Optional. The specification of a Reasoning Engine deployment.
-  *   `packageSpec` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReasoningEngineSpecPackageSpec.t`, *default:* `nil`) - Required. User provided package spec of the ReasoningEngine.
+  *   `packageSpec` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReasoningEngineSpecPackageSpec.t`, *default:* `nil`) - Required. User provided package spec of the ReasoningEngine. Ignored when users directly specify a deployment image through `deployment_spec.first_party_image_override`, but keeping the field_behavior to avoid introducing breaking changes.
   """
 
   use GoogleApi.Gax.ModelBase
 
   @type t :: %__MODULE__{
+          :agentFramework => String.t() | nil,
           :classMethods => list(map()) | nil,
           :deploymentSpec =>
             GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReasoningEngineSpecDeploymentSpec.t()
@@ -38,6 +40,7 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ReasoningEngineSp
             | nil
         }
 
+  field(:agentFramework)
   field(:classMethods, type: :list)
 
   field(:deploymentSpec,

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_vertex_ai_search.ex

@@ -22,15 +22,18 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1VertexAISearch do
   ## Attributes
 
   *   `datastore` (*type:* `String.t`, *default:* `nil`) - Optional. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
+  *   `engine` (*type:* `String.t`, *default:* `nil`) - Optional. Fully-qualified Vertex AI Search engine resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/engines/{engine}`
   """
 
   use GoogleApi.Gax.ModelBase
 
   @type t :: %__MODULE__{
-          :datastore => String.t() | nil
+          :datastore => String.t() | nil,
+          :engine => String.t() | nil
         }
 
   field(:datastore)
+  field(:engine)
 end
 
 defimpl Poison.Decoder, for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1VertexAISearch do