feat: Automated regeneration of aiplatform v1 client

api_names_out.yaml

@@ -7702,6 +7702,19 @@
 "/aiplatform:v1/GoogleCloudAiplatformV1DynamicRetrievalConfig": google_cloud_aiplatform_v1_dynamic_retrieval_config
 "/aiplatform:v1/GoogleCloudAiplatformV1DynamicRetrievalConfig/dynamicThreshold": dynamic_threshold
 "/aiplatform:v1/GoogleCloudAiplatformV1DynamicRetrievalConfig/mode": mode
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentRequest": google_cloud_aiplatform_v1_embed_content_request
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentRequest/autoTruncate": auto_truncate
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentRequest/content": content
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentRequest/outputDimensionality": output_dimensionality
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentRequest/taskType": task_type
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentRequest/title": title
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentResponse": google_cloud_aiplatform_v1_embed_content_response
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentResponse/embedding": embedding
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentResponse/truncated": truncated
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentResponse/usageMetadata": usage_metadata
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentResponseEmbedding": google_cloud_aiplatform_v1_embed_content_response_embedding
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentResponseEmbedding/values": values
+"/aiplatform:v1/GoogleCloudAiplatformV1EmbedContentResponseEmbedding/values/value": value
 "/aiplatform:v1/GoogleCloudAiplatformV1EncryptionSpec": google_cloud_aiplatform_v1_encryption_spec
 "/aiplatform:v1/GoogleCloudAiplatformV1EncryptionSpec/kmsKeyName": kms_key_name
 "/aiplatform:v1/GoogleCloudAiplatformV1Endpoint": google_cloud_aiplatform_v1_endpoint
@@ -10055,6 +10068,8 @@
 "/aiplatform:v1/GoogleCloudAiplatformV1PredictRequest": google_cloud_aiplatform_v1_predict_request
 "/aiplatform:v1/GoogleCloudAiplatformV1PredictRequest/instances": instances
 "/aiplatform:v1/GoogleCloudAiplatformV1PredictRequest/instances/instance": instance
+"/aiplatform:v1/GoogleCloudAiplatformV1PredictRequest/labels": labels
+"/aiplatform:v1/GoogleCloudAiplatformV1PredictRequest/labels/label": label
 "/aiplatform:v1/GoogleCloudAiplatformV1PredictRequest/parameters": parameters
 "/aiplatform:v1/GoogleCloudAiplatformV1PredictRequestResponseLoggingConfig": google_cloud_aiplatform_v1_predict_request_response_logging_config
 "/aiplatform:v1/GoogleCloudAiplatformV1PredictRequestResponseLoggingConfig/bigqueryDestination": bigquery_destination
@@ -12444,6 +12459,22 @@
 "/aiplatform:v1/GoogleCloudAiplatformV1UrlMetadata": google_cloud_aiplatform_v1_url_metadata
 "/aiplatform:v1/GoogleCloudAiplatformV1UrlMetadata/retrievedUrl": retrieved_url
 "/aiplatform:v1/GoogleCloudAiplatformV1UrlMetadata/urlRetrievalStatus": url_retrieval_status
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata": google_cloud_aiplatform_v1_usage_metadata
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/cacheTokensDetails": cache_tokens_details
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/cacheTokensDetails/cache_tokens_detail": cache_tokens_detail
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/cachedContentTokenCount": cached_content_token_count
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/candidatesTokenCount": candidates_token_count
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/candidatesTokensDetails": candidates_tokens_details
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/candidatesTokensDetails/candidates_tokens_detail": candidates_tokens_detail
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/promptTokenCount": prompt_token_count
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/promptTokensDetails": prompt_tokens_details
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/promptTokensDetails/prompt_tokens_detail": prompt_tokens_detail
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/thoughtsTokenCount": thoughts_token_count
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/toolUsePromptTokenCount": tool_use_prompt_token_count
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/toolUsePromptTokensDetails": tool_use_prompt_tokens_details
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/toolUsePromptTokensDetails/tool_use_prompt_tokens_detail": tool_use_prompt_tokens_detail
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/totalTokenCount": total_token_count
+"/aiplatform:v1/GoogleCloudAiplatformV1UsageMetadata/trafficType": traffic_type
 "/aiplatform:v1/GoogleCloudAiplatformV1UserActionReference": google_cloud_aiplatform_v1_user_action_reference
 "/aiplatform:v1/GoogleCloudAiplatformV1UserActionReference/dataLabelingJob": data_labeling_job
 "/aiplatform:v1/GoogleCloudAiplatformV1UserActionReference/method": method_prop
@@ -14007,6 +14038,8 @@
 "/aiplatform:v1/aiplatform.projects.locations.publishers.models.computeTokens/endpoint": endpoint
 "/aiplatform:v1/aiplatform.projects.locations.publishers.models.countTokens": count_project_location_publisher_model_tokens
 "/aiplatform:v1/aiplatform.projects.locations.publishers.models.countTokens/endpoint": endpoint
+"/aiplatform:v1/aiplatform.projects.locations.publishers.models.embedContent": embed_project_location_publisher_model_content
+"/aiplatform:v1/aiplatform.projects.locations.publishers.models.embedContent/model": model
 "/aiplatform:v1/aiplatform.projects.locations.publishers.models.fetchPredictOperation": fetch_project_location_publisher_model_predict_operation
 "/aiplatform:v1/aiplatform.projects.locations.publishers.models.fetchPredictOperation/endpoint": endpoint
 "/aiplatform:v1/aiplatform.projects.locations.publishers.models.generateContent": generate_project_location_publisher_model_content

generated/google-apis-aiplatform_v1/CHANGELOG.md

@@ -1,5 +1,9 @@
 # Release history for google-apis-aiplatform_v1
 
+### v0.70.0 (2025-10-26)
+
+* Regenerated from discovery document revision 20251010
+
 ### v0.69.0 (2025-10-19)
 
 * Regenerated from discovery document revision 20251003

generated/google-apis-aiplatform_v1/lib/google/apis/aiplatform_v1/classes.rb

@@ -7448,6 +7448,107 @@ def update!(**args)
         end
       end
 
+      # Request message for PredictionService.EmbedContent.
+      class GoogleCloudAiplatformV1EmbedContentRequest
+        include Google::Apis::Core::Hashable
+
+        # Optional. Whether to silently truncate the input content if it's longer than
+        # the maximum sequence length.
+        # Corresponds to the JSON property `autoTruncate`
+        # @return [Boolean]
+        attr_accessor :auto_truncate
+        alias_method :auto_truncate?, :auto_truncate
+
+        # The base structured datatype containing multi-part content of a message. A `
+        # Content` includes a `role` field designating the producer of the `Content` and
+        # a `parts` field containing multi-part data that contains the content of the
+        # message turn.
+        # Corresponds to the JSON property `content`
+        # @return [Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Content]
+        attr_accessor :content
+
+        # Optional. Optional reduced dimension for the output embedding. If set,
+        # excessive values in the output embedding are truncated from the end.
+        # Corresponds to the JSON property `outputDimensionality`
+        # @return [Fixnum]
+        attr_accessor :output_dimensionality
+
+        # Optional. The task type of the embedding.
+        # Corresponds to the JSON property `taskType`
+        # @return [String]
+        attr_accessor :task_type
+
+        # Optional. An optional title for the text.
+        # Corresponds to the JSON property `title`
+        # @return [String]
+        attr_accessor :title
+
+        def initialize(**args)
+           update!(**args)
+        end
+
+        # Update properties of this object
+        def update!(**args)
+          @auto_truncate = args[:auto_truncate] if args.key?(:auto_truncate)
+          @content = args[:content] if args.key?(:content)
+          @output_dimensionality = args[:output_dimensionality] if args.key?(:output_dimensionality)
+          @task_type = args[:task_type] if args.key?(:task_type)
+          @title = args[:title] if args.key?(:title)
+        end
+      end
+
+      # Response message for PredictionService.EmbedContent.
+      class GoogleCloudAiplatformV1EmbedContentResponse
+        include Google::Apis::Core::Hashable
+
+        # A list of floats representing an embedding.
+        # Corresponds to the JSON property `embedding`
+        # @return [Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EmbedContentResponseEmbedding]
+        attr_accessor :embedding
+
+        # Whether the input content was truncated before generating the embedding.
+        # Corresponds to the JSON property `truncated`
+        # @return [Boolean]
+        attr_accessor :truncated
+        alias_method :truncated?, :truncated
+
+        # Usage metadata about the content generation request and response. This message
+        # provides a detailed breakdown of token usage and other relevant metrics.
+        # Corresponds to the JSON property `usageMetadata`
+        # @return [Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UsageMetadata]
+        attr_accessor :usage_metadata
+
+        def initialize(**args)
+           update!(**args)
+        end
+
+        # Update properties of this object
+        def update!(**args)
+          @embedding = args[:embedding] if args.key?(:embedding)
+          @truncated = args[:truncated] if args.key?(:truncated)
+          @usage_metadata = args[:usage_metadata] if args.key?(:usage_metadata)
+        end
+      end
+
+      # A list of floats representing an embedding.
+      class GoogleCloudAiplatformV1EmbedContentResponseEmbedding
+        include Google::Apis::Core::Hashable
+
+        # Embedding vector values.
+        # Corresponds to the JSON property `values`
+        # @return [Array<Float>]
+        attr_accessor :values
+
+        def initialize(**args)
+           update!(**args)
+        end
+
+        # Update properties of this object
+        def update!(**args)
+          @values = args[:values] if args.key?(:values)
+        end
+      end
+
       # Represents a customer-managed encryption key spec that can be applied to a top-
       # level resource.
       class GoogleCloudAiplatformV1EncryptionSpec
@@ -24753,6 +24854,12 @@ class GoogleCloudAiplatformV1PredictRequest
         # @return [Array<Object>]
         attr_accessor :instances
 
+        # Optional. The user labels for Imagen billing usage only. Only Imagen supports
+        # labels. For other use cases, it will be ignored.
+        # Corresponds to the JSON property `labels`
+        # @return [Hash<String,String>]
+        attr_accessor :labels
+
         # The parameters that govern the prediction. The schema of the parameters may be
         # specified via Endpoint's DeployedModels' Model's PredictSchemata's
         # parameters_schema_uri.
@@ -24767,6 +24874,7 @@ def initialize(**args)
         # Update properties of this object
         def update!(**args)
           @instances = args[:instances] if args.key?(:instances)
+          @labels = args[:labels] if args.key?(:labels)
           @parameters = args[:parameters] if args.key?(:parameters)
         end
       end
@@ -42827,6 +42935,97 @@ def update!(**args)
         end
       end
 
+      # Usage metadata about the content generation request and response. This message
+      # provides a detailed breakdown of token usage and other relevant metrics.
+      class GoogleCloudAiplatformV1UsageMetadata
+        include Google::Apis::Core::Hashable
+
+        # Output only. A detailed breakdown of the token count for each modality in the
+        # cached content.
+        # Corresponds to the JSON property `cacheTokensDetails`
+        # @return [Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModalityTokenCount>]
+        attr_accessor :cache_tokens_details
+
+        # Output only. The number of tokens in the cached content that was used for this
+        # request.
+        # Corresponds to the JSON property `cachedContentTokenCount`
+        # @return [Fixnum]
+        attr_accessor :cached_content_token_count
+
+        # The total number of tokens in the generated candidates.
+        # Corresponds to the JSON property `candidatesTokenCount`
+        # @return [Fixnum]
+        attr_accessor :candidates_token_count
+
+        # Output only. A detailed breakdown of the token count for each modality in the
+        # generated candidates.
+        # Corresponds to the JSON property `candidatesTokensDetails`
+        # @return [Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModalityTokenCount>]
+        attr_accessor :candidates_tokens_details
+
+        # The total number of tokens in the prompt. This includes any text, images, or
+        # other media provided in the request. When `cached_content` is set, this also
+        # includes the number of tokens in the cached content.
+        # Corresponds to the JSON property `promptTokenCount`
+        # @return [Fixnum]
+        attr_accessor :prompt_token_count
+
+        # Output only. A detailed breakdown of the token count for each modality in the
+        # prompt.
+        # Corresponds to the JSON property `promptTokensDetails`
+        # @return [Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModalityTokenCount>]
+        attr_accessor :prompt_tokens_details
+
+        # Output only. The number of tokens that were part of the model's generated "
+        # thoughts" output, if applicable.
+        # Corresponds to the JSON property `thoughtsTokenCount`
+        # @return [Fixnum]
+        attr_accessor :thoughts_token_count
+
+        # Output only. The number of tokens in the results from tool executions, which
+        # are provided back to the model as input, if applicable.
+        # Corresponds to the JSON property `toolUsePromptTokenCount`
+        # @return [Fixnum]
+        attr_accessor :tool_use_prompt_token_count
+
+        # Output only. A detailed breakdown by modality of the token counts from the
+        # results of tool executions, which are provided back to the model as input.
+        # Corresponds to the JSON property `toolUsePromptTokensDetails`
+        # @return [Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModalityTokenCount>]
+        attr_accessor :tool_use_prompt_tokens_details
+
+        # The total number of tokens for the entire request. This is the sum of `
+        # prompt_token_count`, `candidates_token_count`, `tool_use_prompt_token_count`,
+        # and `thoughts_token_count`.
+        # Corresponds to the JSON property `totalTokenCount`
+        # @return [Fixnum]
+        attr_accessor :total_token_count
+
+        # Output only. The traffic type for this request.
+        # Corresponds to the JSON property `trafficType`
+        # @return [String]
+        attr_accessor :traffic_type
+
+        def initialize(**args)
+           update!(**args)
+        end
+
+        # Update properties of this object
+        def update!(**args)
+          @cache_tokens_details = args[:cache_tokens_details] if args.key?(:cache_tokens_details)
+          @cached_content_token_count = args[:cached_content_token_count] if args.key?(:cached_content_token_count)
+          @candidates_token_count = args[:candidates_token_count] if args.key?(:candidates_token_count)
+          @candidates_tokens_details = args[:candidates_tokens_details] if args.key?(:candidates_tokens_details)
+          @prompt_token_count = args[:prompt_token_count] if args.key?(:prompt_token_count)
+          @prompt_tokens_details = args[:prompt_tokens_details] if args.key?(:prompt_tokens_details)
+          @thoughts_token_count = args[:thoughts_token_count] if args.key?(:thoughts_token_count)
+          @tool_use_prompt_token_count = args[:tool_use_prompt_token_count] if args.key?(:tool_use_prompt_token_count)
+          @tool_use_prompt_tokens_details = args[:tool_use_prompt_tokens_details] if args.key?(:tool_use_prompt_tokens_details)
+          @total_token_count = args[:total_token_count] if args.key?(:total_token_count)
+          @traffic_type = args[:traffic_type] if args.key?(:traffic_type)
+        end
+      end
+
       # References an API call. It contains more information about long running
       # operation and Jobs that are triggered by the API call.
       class GoogleCloudAiplatformV1UserActionReference

generated/google-apis-aiplatform_v1/lib/google/apis/aiplatform_v1/gem_version.rb

@@ -16,13 +16,13 @@ module Google
   module Apis
     module AiplatformV1
       # Version of the google-apis-aiplatform_v1 gem
-      GEM_VERSION = "0.69.0"
+      GEM_VERSION = "0.70.0"
 
       # Version of the code generator used to generate this client
       GENERATOR_VERSION = "0.18.0"
 
       # Revision of the discovery document this client was generated from
-      REVISION = "20251003"
+      REVISION = "20251010"
     end
   end
 end