vertex
library
Classes
AiAgentAnomalyDetectionScope
An Agent Anomaly Detection (AAD) scope defines the Cloud Logging and
Observability buckets that AAD monitors for anomalous agent behavior within
a location. Creating a scope provisions a dedicated tenant project for
detection. Only one scope may exist per location.
AiAgentAnomalyDetectionScopeArgs
The set of arguments for AiAgentAnomalyDetectionScope.
The set of arguments for AiAgentAnomalyDetectionScope.
AiAgentAnomalyDetectionScopeState
Input properties used for looking up and filtering AiAgentAnomalyDetectionScope resources.
AiCacheConfig
Config of GenAI caching features. This is a singleton resource.
AiCacheConfigArgs
The set of arguments for AiCacheConfig.
The set of arguments for AiCacheConfig.
AiCacheConfigState
Input properties used for looking up and filtering AiCacheConfig resources.
AiDataset
A collection of DataItems and Annotations on them.
AiDatasetArgs
The set of arguments for AiDataset.
The set of arguments for AiDataset.
AiDatasetEncryptionSpec
AiDatasetState
Input properties used for looking up and filtering AiDataset resources.
AiDeploymentResourcePool
'DeploymentResourcePool can be shared by multiple deployed models,
whose underlying specification consists of dedicated resources.'
AiDeploymentResourcePoolArgs
The set of arguments for AiDeploymentResourcePool.
The set of arguments for AiDeploymentResourcePool.
AiDeploymentResourcePoolDedicatedResources
AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpec
AiDeploymentResourcePoolDedicatedResourcesMachineSpec
AiDeploymentResourcePoolState
Input properties used for looking up and filtering AiDeploymentResourcePool resources.
AiEndpoint
Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.
AiEndpointArgs
The set of arguments for AiEndpoint.
The set of arguments for AiEndpoint.
AiEndpointDeployedModel
AiEndpointDeployedModelAutomaticResource
AiEndpointDeployedModelDedicatedResource
AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpec
AiEndpointDeployedModelDedicatedResourceMachineSpec
AiEndpointDeployedModelPrivateEndpoint
AiEndpointEncryptionSpec
AiEndpointIamBinding
AiEndpointIamBindingArgs
The set of arguments for AiEndpointIamBinding.
The set of arguments for AiEndpointIamBinding.
AiEndpointIamBindingCondition
AiEndpointIamBindingState
Input properties used for looking up and filtering AiEndpointIamBinding resources.
AiEndpointIamMember
AiEndpointIamMemberArgs
The set of arguments for AiEndpointIamMember.
The set of arguments for AiEndpointIamMember.
AiEndpointIamMemberCondition
AiEndpointIamMemberState
Input properties used for looking up and filtering AiEndpointIamMember resources.
AiEndpointIamPolicy
AiEndpointIamPolicyArgs
The set of arguments for AiEndpointIamPolicy.
The set of arguments for AiEndpointIamPolicy.
AiEndpointIamPolicyState
Input properties used for looking up and filtering AiEndpointIamPolicy resources.
AiEndpointPredictRequestResponseLoggingConfig
AiEndpointPredictRequestResponseLoggingConfigBigqueryDestination
AiEndpointPrivateServiceConnectConfig
AiEndpointPrivateServiceConnectConfigPscAutomationConfig
AiEndpointState
Input properties used for looking up and filtering AiEndpoint resources.
AiEndpointWithModelGardenDeployment
Create an Endpoint and deploy a Model Garden model to it.
AiEndpointWithModelGardenDeploymentArgs
The set of arguments for AiEndpointWithModelGardenDeployment.
The set of arguments for AiEndpointWithModelGardenDeployment.
AiEndpointWithModelGardenDeploymentDeployConfig
AiEndpointWithModelGardenDeploymentDeployConfigDedicatedResources
AiEndpointWithModelGardenDeploymentDeployConfigDedicatedResourcesAutoscalingMetricSpec
AiEndpointWithModelGardenDeploymentDeployConfigDedicatedResourcesMachineSpec
AiEndpointWithModelGardenDeploymentDeployConfigDedicatedResourcesMachineSpecReservationAffinity
AiEndpointWithModelGardenDeploymentEndpointConfig
AiEndpointWithModelGardenDeploymentEndpointConfigPrivateServiceConnectConfig
AiEndpointWithModelGardenDeploymentEndpointConfigPrivateServiceConnectConfigPscAutomationConfigs
AiEndpointWithModelGardenDeploymentModelConfig
AiEndpointWithModelGardenDeploymentModelConfigContainerSpec
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecEnv
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecGrpcPort
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecHealthProbe
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecHealthProbeExec
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecHealthProbeGrpc
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecHealthProbeHttpGet
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecHealthProbeTcpSocket
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecLivenessProbe
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecLivenessProbeExec
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecLivenessProbeGrpc
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecLivenessProbeHttpGet
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecLivenessProbeTcpSocket
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecPort
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecStartupProbe
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecStartupProbeExec
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecStartupProbeGrpc
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecStartupProbeHttpGet
AiEndpointWithModelGardenDeploymentModelConfigContainerSpecStartupProbeTcpSocket
AiEndpointWithModelGardenDeploymentState
Input properties used for looking up and filtering AiEndpointWithModelGardenDeployment resources.
AiEvaluationMetric
A reusable metric configuration for Vertex AI evaluation. EvaluationMetrics
define how model outputs are scored, supporting predefined metrics,
LLM-based metrics, pointwise and pairwise comparisons, and custom code
execution metrics.
AiEvaluationMetricArgs
The set of arguments for AiEvaluationMetric.
The set of arguments for AiEvaluationMetric.
AiEvaluationMetricEncryptionSpec
AiEvaluationMetricState
Input properties used for looking up and filtering AiEvaluationMetric resources.
AiFeatureGroup
Vertex AI Feature Group.
AiFeatureGroupArgs
The set of arguments for AiFeatureGroup.
The set of arguments for AiFeatureGroup.
AiFeatureGroupBigQuery
AiFeatureGroupBigQueryBigQuerySource
AiFeatureGroupFeature
Vertex AI Feature Group Feature is feature metadata information.
AiFeatureGroupFeatureArgs
The set of arguments for AiFeatureGroupFeature.
The set of arguments for AiFeatureGroupFeature.
AiFeatureGroupFeatureState
Input properties used for looking up and filtering AiFeatureGroupFeature resources.
AiFeatureGroupIamBinding
Three different resources help you manage your IAM policy for Vertex AI FeatureGroup. Each of these resources serves a different use case:
AiFeatureGroupIamBindingArgs
The set of arguments for AiFeatureGroupIamBinding.
The set of arguments for AiFeatureGroupIamBinding.
AiFeatureGroupIamBindingCondition
AiFeatureGroupIamBindingState
Input properties used for looking up and filtering AiFeatureGroupIamBinding resources.
AiFeatureGroupIamMember
Three different resources help you manage your IAM policy for Vertex AI FeatureGroup. Each of these resources serves a different use case:
AiFeatureGroupIamMemberArgs
The set of arguments for AiFeatureGroupIamMember.
The set of arguments for AiFeatureGroupIamMember.
AiFeatureGroupIamMemberCondition
AiFeatureGroupIamMemberState
Input properties used for looking up and filtering AiFeatureGroupIamMember resources.
AiFeatureGroupIamPolicy
Three different resources help you manage your IAM policy for Vertex AI FeatureGroup. Each of these resources serves a different use case:
AiFeatureGroupIamPolicyArgs
The set of arguments for AiFeatureGroupIamPolicy.
The set of arguments for AiFeatureGroupIamPolicy.
AiFeatureGroupIamPolicyState
Input properties used for looking up and filtering AiFeatureGroupIamPolicy resources.
AiFeatureGroupState
Input properties used for looking up and filtering AiFeatureGroup resources.
AiFeatureOnlineStore
Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container.
AiFeatureOnlineStoreArgs
The set of arguments for AiFeatureOnlineStore.
The set of arguments for AiFeatureOnlineStore.
AiFeatureOnlineStoreBigtable
AiFeatureOnlineStoreBigtableAutoScaling
AiFeatureOnlineStoreDedicatedServingEndpoint
AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig
AiFeatureOnlineStoreEmbeddingManagement
AiFeatureOnlineStoreEncryptionSpec
AiFeatureOnlineStoreFeatureview
FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.
AiFeatureOnlineStoreFeatureviewArgs
The set of arguments for AiFeatureOnlineStoreFeatureview.
The set of arguments for AiFeatureOnlineStoreFeatureview.
AiFeatureOnlineStoreFeatureviewBigQuerySource
AiFeatureOnlineStoreFeatureviewFeatureRegistrySource
AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroup
AiFeatureOnlineStoreFeatureviewIamBinding
Three different resources help you manage your IAM policy for Vertex AI FeatureOnlineStoreFeatureview. Each of these resources serves a different use case:
AiFeatureOnlineStoreFeatureviewIamBindingArgs
The set of arguments for AiFeatureOnlineStoreFeatureviewIamBinding.
The set of arguments for AiFeatureOnlineStoreFeatureviewIamBinding.
AiFeatureOnlineStoreFeatureviewIamBindingCondition
AiFeatureOnlineStoreFeatureviewIamBindingState
Input properties used for looking up and filtering AiFeatureOnlineStoreFeatureviewIamBinding resources.
AiFeatureOnlineStoreFeatureviewIamMember
Three different resources help you manage your IAM policy for Vertex AI FeatureOnlineStoreFeatureview. Each of these resources serves a different use case:
AiFeatureOnlineStoreFeatureviewIamMemberArgs
The set of arguments for AiFeatureOnlineStoreFeatureviewIamMember.
The set of arguments for AiFeatureOnlineStoreFeatureviewIamMember.
AiFeatureOnlineStoreFeatureviewIamMemberCondition
AiFeatureOnlineStoreFeatureviewIamMemberState
Input properties used for looking up and filtering AiFeatureOnlineStoreFeatureviewIamMember resources.
AiFeatureOnlineStoreFeatureviewIamPolicy
Three different resources help you manage your IAM policy for Vertex AI FeatureOnlineStoreFeatureview. Each of these resources serves a different use case:
AiFeatureOnlineStoreFeatureviewIamPolicyArgs
The set of arguments for AiFeatureOnlineStoreFeatureviewIamPolicy.
The set of arguments for AiFeatureOnlineStoreFeatureviewIamPolicy.
AiFeatureOnlineStoreFeatureviewIamPolicyState
Input properties used for looking up and filtering AiFeatureOnlineStoreFeatureviewIamPolicy resources.
AiFeatureOnlineStoreFeatureviewState
Input properties used for looking up and filtering AiFeatureOnlineStoreFeatureview resources.
AiFeatureOnlineStoreFeatureviewSyncConfig
AiFeatureOnlineStoreFeatureviewVectorSearchConfig
AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfig
AiFeatureOnlineStoreIamBinding
Three different resources help you manage your IAM policy for Vertex AI FeatureOnlineStore. Each of these resources serves a different use case:
AiFeatureOnlineStoreIamBindingArgs
The set of arguments for AiFeatureOnlineStoreIamBinding.
The set of arguments for AiFeatureOnlineStoreIamBinding.
AiFeatureOnlineStoreIamBindingCondition
AiFeatureOnlineStoreIamBindingState
Input properties used for looking up and filtering AiFeatureOnlineStoreIamBinding resources.
AiFeatureOnlineStoreIamMember
Three different resources help you manage your IAM policy for Vertex AI FeatureOnlineStore. Each of these resources serves a different use case:
AiFeatureOnlineStoreIamMemberArgs
The set of arguments for AiFeatureOnlineStoreIamMember.
The set of arguments for AiFeatureOnlineStoreIamMember.
AiFeatureOnlineStoreIamMemberCondition
AiFeatureOnlineStoreIamMemberState
Input properties used for looking up and filtering AiFeatureOnlineStoreIamMember resources.
AiFeatureOnlineStoreIamPolicy
Three different resources help you manage your IAM policy for Vertex AI FeatureOnlineStore. Each of these resources serves a different use case:
AiFeatureOnlineStoreIamPolicyArgs
The set of arguments for AiFeatureOnlineStoreIamPolicy.
The set of arguments for AiFeatureOnlineStoreIamPolicy.
AiFeatureOnlineStoreIamPolicyState
Input properties used for looking up and filtering AiFeatureOnlineStoreIamPolicy resources.
AiFeatureOnlineStoreState
Input properties used for looking up and filtering AiFeatureOnlineStore resources.
AiFeatureStore
A collection of DataItems and Annotations on them.
AiFeatureStoreArgs
The set of arguments for AiFeatureStore.
The set of arguments for AiFeatureStore.
AiFeatureStoreEncryptionSpec
AiFeatureStoreEntityType
An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.
AiFeatureStoreEntityTypeArgs
The set of arguments for AiFeatureStoreEntityType.
The set of arguments for AiFeatureStoreEntityType.
AiFeatureStoreEntityTypeFeature
Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple.
AiFeatureStoreEntityTypeFeatureArgs
The set of arguments for AiFeatureStoreEntityTypeFeature.
The set of arguments for AiFeatureStoreEntityTypeFeature.
AiFeatureStoreEntityTypeFeatureState
Input properties used for looking up and filtering AiFeatureStoreEntityTypeFeature resources.
AiFeatureStoreEntityTypeIamBinding
Three different resources help you manage your IAM policy for Vertex AI FeaturestoreEntitytype. Each of these resources serves a different use case:
AiFeatureStoreEntityTypeIamBindingArgs
The set of arguments for AiFeatureStoreEntityTypeIamBinding.
The set of arguments for AiFeatureStoreEntityTypeIamBinding.
AiFeatureStoreEntityTypeIamBindingCondition
AiFeatureStoreEntityTypeIamBindingState
Input properties used for looking up and filtering AiFeatureStoreEntityTypeIamBinding resources.
AiFeatureStoreEntityTypeIamMember
Three different resources help you manage your IAM policy for Vertex AI FeaturestoreEntitytype. Each of these resources serves a different use case:
AiFeatureStoreEntityTypeIamMemberArgs
The set of arguments for AiFeatureStoreEntityTypeIamMember.
The set of arguments for AiFeatureStoreEntityTypeIamMember.
AiFeatureStoreEntityTypeIamMemberCondition
AiFeatureStoreEntityTypeIamMemberState
Input properties used for looking up and filtering AiFeatureStoreEntityTypeIamMember resources.
AiFeatureStoreEntityTypeIamPolicy
Three different resources help you manage your IAM policy for Vertex AI FeaturestoreEntitytype. Each of these resources serves a different use case:
AiFeatureStoreEntityTypeIamPolicyArgs
The set of arguments for AiFeatureStoreEntityTypeIamPolicy.
The set of arguments for AiFeatureStoreEntityTypeIamPolicy.
AiFeatureStoreEntityTypeIamPolicyState
Input properties used for looking up and filtering AiFeatureStoreEntityTypeIamPolicy resources.
AiFeatureStoreEntityTypeMonitoringConfig
AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfig
AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysis
AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfig
AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis
AiFeatureStoreEntityTypeState
Input properties used for looking up and filtering AiFeatureStoreEntityType resources.
AiFeatureStoreIamBinding
Three different resources help you manage your IAM policy for Vertex AI Featurestore. Each of these resources serves a different use case:
AiFeatureStoreIamBindingArgs
The set of arguments for AiFeatureStoreIamBinding.
The set of arguments for AiFeatureStoreIamBinding.
AiFeatureStoreIamBindingCondition
AiFeatureStoreIamBindingState
Input properties used for looking up and filtering AiFeatureStoreIamBinding resources.
AiFeatureStoreIamMember
Three different resources help you manage your IAM policy for Vertex AI Featurestore. Each of these resources serves a different use case:
AiFeatureStoreIamMemberArgs
The set of arguments for AiFeatureStoreIamMember.
The set of arguments for AiFeatureStoreIamMember.
AiFeatureStoreIamMemberCondition
AiFeatureStoreIamMemberState
Input properties used for looking up and filtering AiFeatureStoreIamMember resources.
AiFeatureStoreIamPolicy
Three different resources help you manage your IAM policy for Vertex AI Featurestore. Each of these resources serves a different use case:
AiFeatureStoreIamPolicyArgs
The set of arguments for AiFeatureStoreIamPolicy.
The set of arguments for AiFeatureStoreIamPolicy.
AiFeatureStoreIamPolicyState
Input properties used for looking up and filtering AiFeatureStoreIamPolicy resources.
AiFeatureStoreOnlineServingConfig
AiFeatureStoreOnlineServingConfigScaling
AiFeatureStoreState
Input properties used for looking up and filtering AiFeatureStore resources.
AiIndex
A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
AiIndexArgs
The set of arguments for AiIndex.
The set of arguments for AiIndex.
AiIndexDeployedIndex
AiIndexEncryptionSpec
AiIndexEndpoint
An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes.
AiIndexEndpointArgs
The set of arguments for AiIndexEndpoint.
The set of arguments for AiIndexEndpoint.
AiIndexEndpointDeployedIndex
An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes.
AiIndexEndpointDeployedIndexArgs
The set of arguments for AiIndexEndpointDeployedIndex.
The set of arguments for AiIndexEndpointDeployedIndex.
AiIndexEndpointDeployedIndexAutomaticResources
AiIndexEndpointDeployedIndexDedicatedResources
AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec
AiIndexEndpointDeployedIndexDeployedIndexAuthConfig
AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProvider
AiIndexEndpointDeployedIndexPrivateEndpoint
AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpoint
AiIndexEndpointDeployedIndexState
Input properties used for looking up and filtering AiIndexEndpointDeployedIndex resources.
AiIndexEndpointEncryptionSpec
AiIndexEndpointPrivateServiceConnectConfig
AiIndexEndpointPrivateServiceConnectConfigPscAutomationConfig
AiIndexEndpointState
Input properties used for looking up and filtering AiIndexEndpoint resources.
AiIndexIndexStat
AiIndexMetadata
AiIndexMetadataConfig
AiIndexMetadataConfigAlgorithmConfig
AiIndexMetadataConfigAlgorithmConfigTreeAhConfig
AiIndexState
Input properties used for looking up and filtering AiIndex resources.
AiMetadataStore
Instance of a metadata store. Contains a set of metadata that can be queried.
AiMetadataStoreArgs
The set of arguments for AiMetadataStore.
The set of arguments for AiMetadataStore.
AiMetadataStoreEncryptionSpec
AiMetadataStoreState
AiMetadataStoreVertexState
Input properties used for looking up and filtering AiMetadataStore resources.
AiModelGardenEnableModel
Enables a Model Garden publisher model for a project so that it can be
deployed. This calls the synchronous
ModelGardenService.EnableModel method, which checks that the prerequisites
for the model are met (for example, a completed questionnaire and accepted
consents, or an active Private Offer) before enabling it.
AiModelGardenEnableModelArgs
The set of arguments for AiModelGardenEnableModel.
The set of arguments for AiModelGardenEnableModel.
AiModelGardenEnableModelState
Input properties used for looking up and filtering AiModelGardenEnableModel resources.
AiPersistentResource
Represents long-lasting resources that are dedicated to users to runs custom
workloads. A PersistentResource can have multiple node pools and each node
pool can have its own machine spec.
AiPersistentResourceArgs
The set of arguments for AiPersistentResource.
The set of arguments for AiPersistentResource.
AiPersistentResourceEncryptionSpec
AiPersistentResourceError
AiPersistentResourcePscInterfaceConfig
AiPersistentResourcePscInterfaceConfigDnsPeeringConfig
AiPersistentResourceResourcePool
AiPersistentResourceResourcePoolAutoscalingSpec
AiPersistentResourceResourcePoolDiskSpec
AiPersistentResourceResourcePoolMachineSpec
AiPersistentResourceResourceRuntime
AiPersistentResourceResourceRuntimeSpec
AiPersistentResourceResourceRuntimeSpecServiceAccountSpec
AiPersistentResourceState
Input properties used for looking up and filtering AiPersistentResource resources.
AiRagEngineConfig
Vertex AI RAG Engine lets you scale your RagManagedDb instance based on your usage and performance requirements using a choice of two tiers, and optionally, lets you delete your Vertex AI RAG Engine data using a third tier. The tier is a project-level setting that's available in the RagEngineConfig resource that impacts all RAG corpora using RagManagedDb. The following tiers are available in RagEngineConfig: Basic, Scaled and Unprovisioned.
AiRagEngineConfigArgs
The set of arguments for AiRagEngineConfig.
The set of arguments for AiRagEngineConfig.
AiRagEngineConfigRagManagedDbConfig
AiRagEngineConfigState
Input properties used for looking up and filtering AiRagEngineConfig resources.
AiReasoningEngine
ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.
AiReasoningEngineArgs
The set of arguments for AiReasoningEngine.
The set of arguments for AiReasoningEngine.
AiReasoningEngineContextSpec
AiReasoningEngineContextSpecExampleStoreConfig
AiReasoningEngineContextSpecExampleStoreConfigSimilaritySearchConfig
AiReasoningEngineContextSpecMemoryBankConfig
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfig
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigConsolidationConfig
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExample
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSource
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEvent
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContent
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContentPart
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContentPartCodeExecutionResult
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContentPartExecutableCode
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContentPartFileData
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContentPartFunctionCall
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContentPartFunctionResponse
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContentPartInlineData
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleConversationSourceEventContentPartVideoMetadata
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleGeneratedMemory
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigGenerateMemoriesExampleGeneratedMemoryTopic
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigMemoryTopic
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigMemoryTopicCustomMemoryTopic
AiReasoningEngineContextSpecMemoryBankConfigCustomizationConfigMemoryTopicManagedMemoryTopic
AiReasoningEngineContextSpecMemoryBankConfigGenerationConfig
AiReasoningEngineContextSpecMemoryBankConfigGenerationConfigGenerationTriggerConfig
AiReasoningEngineContextSpecMemoryBankConfigGenerationConfigGenerationTriggerConfigGenerationRule
AiReasoningEngineContextSpecMemoryBankConfigSimilaritySearchConfig
AiReasoningEngineContextSpecMemoryBankConfigStructuredMemoryConfig
AiReasoningEngineContextSpecMemoryBankConfigStructuredMemoryConfigSchemaConfig
AiReasoningEngineContextSpecMemoryBankConfigTtlConfig
AiReasoningEngineContextSpecMemoryBankConfigTtlConfigGranularTtlConfig
AiReasoningEngineEncryptionSpec
AiReasoningEngineIamBinding
Three different resources help you manage your IAM policy for Vertex AI ReasoningEngine. Each of these resources serves a different use case:
AiReasoningEngineIamBindingArgs
The set of arguments for AiReasoningEngineIamBinding.
The set of arguments for AiReasoningEngineIamBinding.
AiReasoningEngineIamBindingCondition
AiReasoningEngineIamBindingState
Input properties used for looking up and filtering AiReasoningEngineIamBinding resources.
AiReasoningEngineIamMember
Three different resources help you manage your IAM policy for Vertex AI ReasoningEngine. Each of these resources serves a different use case:
AiReasoningEngineIamMemberArgs
The set of arguments for AiReasoningEngineIamMember.
The set of arguments for AiReasoningEngineIamMember.
AiReasoningEngineIamMemberCondition
AiReasoningEngineIamMemberState
Input properties used for looking up and filtering AiReasoningEngineIamMember resources.
AiReasoningEngineIamPolicy
Three different resources help you manage your IAM policy for Vertex AI ReasoningEngine. Each of these resources serves a different use case:
AiReasoningEngineIamPolicyArgs
The set of arguments for AiReasoningEngineIamPolicy.
The set of arguments for AiReasoningEngineIamPolicy.
AiReasoningEngineIamPolicyState
Input properties used for looking up and filtering AiReasoningEngineIamPolicy resources.
AiReasoningEngineSpec
AiReasoningEngineSpecBuildSpec
AiReasoningEngineSpecContainerSpec
AiReasoningEngineSpecDeploymentSpec
AiReasoningEngineSpecDeploymentSpecAgentGatewayConfig
AiReasoningEngineSpecDeploymentSpecAgentGatewayConfigAgentToAnywhereConfig
AiReasoningEngineSpecDeploymentSpecAgentGatewayConfigClientToAgentConfig
AiReasoningEngineSpecDeploymentSpecEnv
AiReasoningEngineSpecDeploymentSpecKeepAliveProbe
AiReasoningEngineSpecDeploymentSpecKeepAliveProbeHttpGet
AiReasoningEngineSpecDeploymentSpecPscInterfaceConfig
AiReasoningEngineSpecDeploymentSpecPscInterfaceConfigDnsPeeringConfig
AiReasoningEngineSpecDeploymentSpecSecretEnv
AiReasoningEngineSpecDeploymentSpecSecretEnvSecretRef
AiReasoningEngineSpecPackageSpec
AiReasoningEngineSpecSourceCodeSpec
AiReasoningEngineSpecSourceCodeSpecAgentConfigSource
AiReasoningEngineSpecSourceCodeSpecAgentConfigSourceAdkConfig
AiReasoningEngineSpecSourceCodeSpecAgentConfigSourceInlineSource
AiReasoningEngineSpecSourceCodeSpecDeveloperConnectSource
AiReasoningEngineSpecSourceCodeSpecDeveloperConnectSourceConfig
AiReasoningEngineSpecSourceCodeSpecImageSpec
AiReasoningEngineSpecSourceCodeSpecInlineSource
AiReasoningEngineSpecSourceCodeSpecPythonSpec
AiReasoningEngineState
Input properties used for looking up and filtering AiReasoningEngine resources.
AiReasoningEngineTrafficConfig
AiReasoningEngineTrafficConfigTrafficSplitManual
AiReasoningEngineTrafficConfigTrafficSplitManualTarget
AiSchedule
> Warning: gcp.vertex.AiSchedule is deprecated and will be removed in a future major release. Use gcp.colab.Schedule instead.
AiScheduleArgs
The set of arguments for AiSchedule.
The set of arguments for AiSchedule.
AiScheduleCreateNotebookExecutionJobRequest
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJob
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobCustomEnvironmentSpec
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobCustomEnvironmentSpecMachineSpec
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobCustomEnvironmentSpecMachineSpecReservationAffinity
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobCustomEnvironmentSpecNetworkSpec
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobCustomEnvironmentSpecPersistentDiskSpec
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySource
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDirectNotebookSource
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobEncryptionSpec
AiScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSource
AiScheduleCreatePipelineJobRequest
AiScheduleCreatePipelineJobRequestPipelineJob
AiScheduleCreatePipelineJobRequestPipelineJobEncryptionSpec
AiScheduleCreatePipelineJobRequestPipelineJobPscInterfaceConfig
AiScheduleCreatePipelineJobRequestPipelineJobPscInterfaceConfigDnsPeeringConfig
AiScheduleCreatePipelineJobRequestPipelineJobRuntimeConfig
AiScheduleCreatePipelineJobRequestPipelineJobTemplateMetadata
AiScheduleLastScheduledRunResponse
AiScheduleState
Input properties used for looking up and filtering AiSchedule resources.
AiSemanticGovernancePolicyEngine
A SemanticGovernancePolicyEngine (SGPE) is the managed, runtime evaluation
infrastructure for Semantic Governance Policies (SGP): the natural-language
constraints that govern an AI agent's tool calls. It is a project-level,
regional singleton, so each project has at most one engine per region.
AiSemanticGovernancePolicyEngineArgs
The set of arguments for AiSemanticGovernancePolicyEngine.
The set of arguments for AiSemanticGovernancePolicyEngine.
AiSemanticGovernancePolicyEngineState
Input properties used for looking up and filtering AiSemanticGovernancePolicyEngine resources.
AiTensorboard
Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects.
AiTensorboardArgs
The set of arguments for AiTensorboard.
The set of arguments for AiTensorboard.
AiTensorboardEncryptionSpec
AiTensorboardExperiment
A TensorboardExperiment is a group of TensorboardRuns that are logically grouped together.
AiTensorboardExperimentArgs
The set of arguments for AiTensorboardExperiment.
The set of arguments for AiTensorboardExperiment.
AiTensorboardExperimentState
Input properties used for looking up and filtering AiTensorboardExperiment resources.
AiTensorboardRun
A TensorboardRun is a single execution of a training job.
AiTensorboardRunArgs
The set of arguments for AiTensorboardRun.
The set of arguments for AiTensorboardRun.
AiTensorboardRunState
Input properties used for looking up and filtering AiTensorboardRun resources.
AiTensorboardState
Input properties used for looking up and filtering AiTensorboard resources.
GetAiEndpointIamPolicyArgs
Arguments for getAiEndpointIamPolicy.
Arguments for getAiEndpointIamPolicy.
GetAiEndpointIamPolicyResult
Result data returned by getAiEndpointIamPolicy.
GetAiFeatureGroupIamPolicyArgs
Arguments for getAiFeatureGroupIamPolicy.
Arguments for getAiFeatureGroupIamPolicy.
GetAiFeatureGroupIamPolicyResult
Result data returned by getAiFeatureGroupIamPolicy.
GetAiFeatureOnlineStoreFeatureviewIamPolicyArgs
Arguments for getAiFeatureOnlineStoreFeatureviewIamPolicy.
Arguments for getAiFeatureOnlineStoreFeatureviewIamPolicy.
GetAiFeatureOnlineStoreFeatureviewIamPolicyResult
Result data returned by getAiFeatureOnlineStoreFeatureviewIamPolicy.
GetAiFeatureOnlineStoreIamPolicyArgs
Arguments for getAiFeatureOnlineStoreIamPolicy.
Arguments for getAiFeatureOnlineStoreIamPolicy.
GetAiFeatureOnlineStoreIamPolicyResult
Result data returned by getAiFeatureOnlineStoreIamPolicy.
GetAiFeaturestoreEntitytypeIamPolicyArgs
Arguments for getAiFeaturestoreEntitytypeIamPolicy.
Arguments for getAiFeaturestoreEntitytypeIamPolicy.
GetAiFeaturestoreEntitytypeIamPolicyResult
Result data returned by getAiFeaturestoreEntitytypeIamPolicy.
GetAiFeaturestoreIamPolicyArgs
Arguments for getAiFeaturestoreIamPolicy.
Arguments for getAiFeaturestoreIamPolicy.
GetAiFeaturestoreIamPolicyResult
Result data returned by getAiFeaturestoreIamPolicy.
GetAiIndexArgs
Arguments for getAiIndex.
Arguments for getAiIndex.
GetAiIndexDeployedIndex
GetAiIndexEncryptionSpec
GetAiIndexIndexStat
GetAiIndexMetadata
GetAiIndexMetadataConfig
GetAiIndexMetadataConfigAlgorithmConfig
GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfig
GetAiIndexResult
Result data returned by getAiIndex.
GetAiReasoningEngineIamPolicyArgs
Arguments for getAiReasoningEngineIamPolicy.
Arguments for getAiReasoningEngineIamPolicy.
GetAiReasoningEngineIamPolicyResult
Result data returned by getAiReasoningEngineIamPolicy.
GetAiReasoningEngineQueryArgs
Arguments for getAiReasoningEngineQuery.
Arguments for getAiReasoningEngineQuery.
GetAiReasoningEngineQueryResult
Result data returned by getAiReasoningEngineQuery.
Functions
getAiEndpointIamPolicy (GetAiEndpointIamPolicyArgs args , {InvokeOptions? options → Future <GetAiEndpointIamPolicyResult
Retrieves the current IAM policy data for endpoint
> Warning: This datasource is in beta, and should be used with the terraform-provider-google-beta provider.
See Provider Versions for more details on beta resources.
getAiEndpointIamPolicyOutput (GetAiEndpointIamPolicyArgs args , {InvokeOutputOptions? options → Output<GetAiEndpointIamPolicyResult
getAiFeatureGroupIamPolicy (GetAiFeatureGroupIamPolicyArgs args , {InvokeOptions? options → Future <GetAiFeatureGroupIamPolicyResult
Retrieves the current IAM policy data for featuregroup
> Warning: This datasource is in beta, and should be used with the terraform-provider-google-beta provider.
See Provider Versions for more details on beta resources.
getAiFeatureGroupIamPolicyOutput (GetAiFeatureGroupIamPolicyArgs args , {InvokeOutputOptions? options → Output<GetAiFeatureGroupIamPolicyResult
getAiFeatureOnlineStoreFeatureviewIamPolicy (GetAiFeatureOnlineStoreFeatureviewIamPolicyArgs args , {InvokeOptions? options → Future <GetAiFeatureOnlineStoreFeatureviewIamPolicyResult
Retrieves the current IAM policy data for featureonlinestorefeatureview
> Warning: This datasource is in beta, and should be used with the terraform-provider-google-beta provider.
See Provider Versions for more details on beta resources.
getAiFeatureOnlineStoreFeatureviewIamPolicyOutput (GetAiFeatureOnlineStoreFeatureviewIamPolicyArgs args , {InvokeOutputOptions? options → Output<GetAiFeatureOnlineStoreFeatureviewIamPolicyResult
getAiFeatureOnlineStoreIamPolicy (GetAiFeatureOnlineStoreIamPolicyArgs args , {InvokeOptions? options → Future <GetAiFeatureOnlineStoreIamPolicyResult
Retrieves the current IAM policy data for featureonlinestore
> Warning: This datasource is in beta, and should be used with the terraform-provider-google-beta provider.
See Provider Versions for more details on beta resources.
getAiFeatureOnlineStoreIamPolicyOutput (GetAiFeatureOnlineStoreIamPolicyArgs args , {InvokeOutputOptions? options → Output<GetAiFeatureOnlineStoreIamPolicyResult
getAiFeaturestoreEntitytypeIamPolicy (GetAiFeaturestoreEntitytypeIamPolicyArgs args , {InvokeOptions? options → Future <GetAiFeaturestoreEntitytypeIamPolicyResult
Retrieves the current IAM policy data for featurestoreentitytype
> Warning: This datasource is in beta, and should be used with the terraform-provider-google-beta provider.
See Provider Versions for more details on beta resources.
getAiFeaturestoreEntitytypeIamPolicyOutput (GetAiFeaturestoreEntitytypeIamPolicyArgs args , {InvokeOutputOptions? options → Output<GetAiFeaturestoreEntitytypeIamPolicyResult
getAiFeaturestoreIamPolicy (GetAiFeaturestoreIamPolicyArgs args , {InvokeOptions? options → Future <GetAiFeaturestoreIamPolicyResult
Retrieves the current IAM policy data for featurestore
> Warning: This datasource is in beta, and should be used with the terraform-provider-google-beta provider.
See Provider Versions for more details on beta resources.
getAiFeaturestoreIamPolicyOutput (GetAiFeaturestoreIamPolicyArgs args , {InvokeOutputOptions? options → Output<GetAiFeaturestoreIamPolicyResult
getAiIndex (GetAiIndexArgs args , {InvokeOptions? options → Future <GetAiIndexResult
A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
args Arguments passed to this invoke. Arguments for getAiIndex.
options Invoke options controlling this call.
getAiIndexOutput (GetAiIndexArgs args , {InvokeOutputOptions? options → Output<GetAiIndexResult
getAiReasoningEngineIamPolicy (GetAiReasoningEngineIamPolicyArgs args , {InvokeOptions? options → Future <GetAiReasoningEngineIamPolicyResult
Retrieves the current IAM policy data for reasoningengine
getAiReasoningEngineIamPolicyOutput (GetAiReasoningEngineIamPolicyArgs args , {InvokeOutputOptions? options → Output<GetAiReasoningEngineIamPolicyResult
getAiReasoningEngineQuery (GetAiReasoningEngineQueryArgs args , {InvokeOptions? options → Future <GetAiReasoningEngineQueryResult
Get the output of a query sent to a Vertex AI Reasoning Engine agent.
getAiReasoningEngineQueryOutput (GetAiReasoningEngineQueryArgs args , {InvokeOutputOptions? options → Output<GetAiReasoningEngineQueryResult
