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Copy file name to clipboardExpand all lines: docs/dyn/aiplatform_v1.projects.locations.deploymentResourcePools.html
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"serviceAccount": "A String", # The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
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"sharedResources": "A String", # The resource name of the shared DeploymentResourcePool to deploy on. Format: `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
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"speculativeDecodingSpec": { # Configuration for Speculative Decoding. # Optional. Spec for configuring speculative decoding.
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"draftModelSpeculation": { # Draft model speculation works by using the smaller model to generate candidate tokens for speculative decoding. # draft model speculation.
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"draftModel": "A String", # Required. The resource name of the draft model.
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},
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"ngramSpeculation": { # N-Gram speculation works by trying to find matching tokens in the previous prompt sequence and use those as speculation for generating new tokens. # N-Gram speculation.
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"ngramSize": 42, # The number of last N input tokens used as ngram to search/match against the previous prompt sequence. This is equal to the N in N-Gram. The default value is 3 if not specified.
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},
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"speculativeTokenCount": 42, # The number of speculative tokens to generate at each step.
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},
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"status": { # Runtime status of the deployed model. # Output only. Runtime status of the deployed model.
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"availableReplicaCount": 42, # Output only. The number of available replicas of the deployed model.
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"lastUpdateTime": "A String", # Output only. The time at which the status was last updated.
Copy file name to clipboardExpand all lines: docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html
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},
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"satisfiesPzi": True or False, # Output only. Reserved for future use.
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"satisfiesPzs": True or False, # Output only. Reserved for future use.
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"serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
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"serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
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"syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
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"continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store.
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"cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
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},
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"satisfiesPzi": True or False, # Output only. Reserved for future use.
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"satisfiesPzs": True or False, # Output only. Reserved for future use.
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"serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
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"serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
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"syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
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"continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store.
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"cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
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},
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"satisfiesPzi": True or False, # Output only. Reserved for future use.
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"satisfiesPzs": True or False, # Output only. Reserved for future use.
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"serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
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"serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
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"syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
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"continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store.
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"cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
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},
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"satisfiesPzi": True or False, # Output only. Reserved for future use.
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"satisfiesPzs": True or False, # Output only. Reserved for future use.
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"serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
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"serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
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"syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
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"continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store.
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"cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
Copy file name to clipboardExpand all lines: docs/dyn/aiplatform_v1.projects.locations.html
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{ # 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.
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"parts": [ # Required. Ordered `Parts` that constitute a single message. Parts may have different IANA MIME types.
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{ # A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
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"codeExecutionResult": { # Result of executing the [ExecutableCode]. Always follows a `part` containing the [ExecutableCode]. # Optional. Result of executing the [ExecutableCode].
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"outcome": "A String", # Required. Outcome of the code execution.
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"output": "A String", # Optional. Contains stdout when code execution is successful, stderr or other description otherwise.
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},
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"executableCode": { # Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [FunctionDeclaration] tool and [FunctionCallingConfig] mode is set to [Mode.CODE]. # Optional. Code generated by the model that is meant to be executed.
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"code": "A String", # Required. The code to be executed.
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"language": "A String", # Required. Programming language of the `code`.
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},
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"fileData": { # URI based data. # Optional. URI based data.
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"displayName": "A String", # Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
"data": "A String", # Required. Raw bytes.
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"displayName": "A String", # Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
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"mimeType": "A String", # Required. The IANA standard MIME type of the source data.
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},
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"text": "A String", # Optional. Text part (can be code).
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{ # 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.
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"parts": [ # Required. Ordered `Parts` that constitute a single message. Parts may have different IANA MIME types.
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{ # A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
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"codeExecutionResult": { # Result of executing the [ExecutableCode]. Always follows a `part` containing the [ExecutableCode]. # Optional. Result of executing the [ExecutableCode].
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"outcome": "A String", # Required. Outcome of the code execution.
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"output": "A String", # Optional. Contains stdout when code execution is successful, stderr or other description otherwise.
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},
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"executableCode": { # Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [FunctionDeclaration] tool and [FunctionCallingConfig] mode is set to [Mode.CODE]. # Optional. Code generated by the model that is meant to be executed.
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"code": "A String", # Required. The code to be executed.
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"language": "A String", # Required. Programming language of the `code`.
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},
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"fileData": { # URI based data. # Optional. URI based data.
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"displayName": "A String", # Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
"data": "A String", # Required. Raw bytes.
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"displayName": "A String", # Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
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"mimeType": "A String", # Required. The IANA standard MIME type of the source data.
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},
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"text": "A String", # Optional. Text part (can be code).
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"content": { # 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. # Optional. Input content to corroborate, only text format is supported for now.
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"parts": [ # Required. Ordered `Parts` that constitute a single message. Parts may have different IANA MIME types.
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{ # A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
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"codeExecutionResult": { # Result of executing the [ExecutableCode]. Always follows a `part` containing the [ExecutableCode]. # Optional. Result of executing the [ExecutableCode].
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"outcome": "A String", # Required. Outcome of the code execution.
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"output": "A String", # Optional. Contains stdout when code execution is successful, stderr or other description otherwise.
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},
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"executableCode": { # Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [FunctionDeclaration] tool and [FunctionCallingConfig] mode is set to [Mode.CODE]. # Optional. Code generated by the model that is meant to be executed.
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"code": "A String", # Required. The code to be executed.
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"language": "A String", # Required. Programming language of the `code`.
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},
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"fileData": { # URI based data. # Optional. URI based data.
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"displayName": "A String", # Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
"data": "A String", # Required. Raw bytes.
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"displayName": "A String", # Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
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"mimeType": "A String", # Required. The IANA standard MIME type of the source data.
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},
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"text": "A String", # Optional. Text part (can be code).
<pre>Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it. Only non-empty Indexes can be deployed.
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<pre>Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.
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Args:
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indexEndpoint: string, Required. The name of the IndexEndpoint resource into which to deploy an Index. Format: `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}` (required)
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