vertex_ai library

Vertex AI — Feature Store (legacy featurestore / entity type / feature) plus feature groups (BigQuery-backed), managed datasets, experiment Tensorboards (with experiments and runs), pipeline schedules, GenAI cache config, online prediction endpoints, shared deployment resource pools, and Vector Search indexes / index endpoints (plus deployed indexes). Nested config blocks (e.g. encryption_spec) are passed as structured maps.

Classes

AppConstant<T>: A value the Stack hands to application code as a static const in the generated AppExports file — known when synth runs, so the app compiles against it.
AppExports: Where synth writes the Dart file application code imports: the Stack's constants, as the static const members of <name>Constants, and a typed reader of its Terraform outputs, <name>Outputs.
AttributeRef<T>: Public for sealed pattern matching, but constructor is private — only TfRef.attribute() may construct instances.
DartDefineOutput: An output whose value is the client build's --dart-define file, registered with Stack.addDartDefineOutput.
Data: Base of every user-instantiable Terraform data block.
DataGoogleVertexAiIndex: Factory wrapper for google_vertex_ai_index.
DataGoogleVertexAiReasoningEngineIamPolicy: Factory wrapper for google_vertex_ai_reasoning_engine_iam_policy.
DataGoogleVertexAiReasoningEngineQuery: Factory wrapper for google_vertex_ai_reasoning_engine_query.
DataRef<T>: Public for sealed pattern matching, but constructor is private — only TfRef.data() may construct instances.
EnvironmentConstant: The AppConstant.fromEnvironment choice.
GcsBackend: terraform { backend "gcs" { ... } } configuration.
GoogleVertexAiCacheConfig: Factory wrapper for google_vertex_ai_cache_config.
GoogleVertexAiDataset: Factory wrapper for google_vertex_ai_dataset.
GoogleVertexAiDeploymentResourcePool: Factory wrapper for google_vertex_ai_deployment_resource_pool.
GoogleVertexAiEndpoint: Factory wrapper for google_vertex_ai_endpoint.
GoogleVertexAiEndpointWithModelGardenDeployment: Factory wrapper for google_vertex_ai_endpoint_with_model_garden_deployment.
GoogleVertexAiEvaluationMetric: Factory wrapper for google_vertex_ai_evaluation_metric.
GoogleVertexAiFeatureGroup: Factory wrapper for google_vertex_ai_feature_group.
GoogleVertexAiFeatureGroupFeature: Factory wrapper for google_vertex_ai_feature_group_feature.
GoogleVertexAiFeatureOnlineStore: Factory wrapper for google_vertex_ai_feature_online_store.
GoogleVertexAiFeatureOnlineStoreFeatureview: Factory wrapper for google_vertex_ai_feature_online_store_featureview.
GoogleVertexAiFeaturestore: Factory wrapper for google_vertex_ai_featurestore.
GoogleVertexAiFeaturestoreEntitytype: Factory wrapper for google_vertex_ai_featurestore_entitytype.
GoogleVertexAiFeaturestoreEntitytypeFeature: Factory wrapper for google_vertex_ai_featurestore_entitytype_feature.
GoogleVertexAiIndex: Factory wrapper for google_vertex_ai_index.
GoogleVertexAiIndexEndpoint: Factory wrapper for google_vertex_ai_index_endpoint.
GoogleVertexAiIndexEndpointDeployedIndex: Factory wrapper for google_vertex_ai_index_endpoint_deployed_index.
GoogleVertexAiPersistentResource: Factory wrapper for google_vertex_ai_persistent_resource.
GoogleVertexAiRagCorpus: Factory wrapper for google_vertex_ai_rag_corpus.
GoogleVertexAiRagEngineConfig: Factory wrapper for google_vertex_ai_rag_engine_config.
GoogleVertexAiReasoningEngine: Factory wrapper for google_vertex_ai_reasoning_engine.
GoogleVertexAiReasoningEngineIamBinding: Factory wrapper for google_vertex_ai_reasoning_engine_iam_binding.
GoogleVertexAiReasoningEngineIamMember: Factory wrapper for google_vertex_ai_reasoning_engine_iam_member.
GoogleVertexAiReasoningEngineIamPolicy: Factory wrapper for google_vertex_ai_reasoning_engine_iam_policy.
GoogleVertexAiSemanticGovernancePolicyEngine: Factory wrapper for google_vertex_ai_semantic_governance_policy_engine.
GoogleVertexAiTensorboard: Factory wrapper for google_vertex_ai_tensorboard.
GoogleVertexAiTensorboardExperiment: Factory wrapper for google_vertex_ai_tensorboard_experiment.
GoogleVertexAiTensorboardRun: Factory wrapper for google_vertex_ai_tensorboard_run.
IgnoreAllChanges: IgnoreChanges.all.
IgnoreAttributes: IgnoreChanges.of.
IgnoreChanges: What ignore_changes covers: every attribute, or the listed ones.
InvalidDartDefineOutput: An output of Stack.addDartDefineOutput that cannot carry what it names: an output that is not registered, is sensitive or has no environment value, two outputs read from one variable, or no output at all.
InvalidLifecycle: A lifecycle block Terraform rejects: a data source (or one of its attributes) in replaceTriggeredBy, all inside IgnoreChanges.of, or a condition with an empty error message.
InvalidMoveTarget: A moved block whose to names no resource of the Stack.
InvalidTimeout: A negative timeouts duration.
LifecycleCondition: A precondition or postcondition block: Terraform fails the plan (LifecycleCondition.pre) or the apply (LifecycleCondition.post) with errorMessage when condition is false.
LifecycleOptions: lifecycle { ... } block on a resource.
LocalBackend: terraform { backend "local" { ... } } configuration.
MissingProvider: A block needs a provider configuration the Stack does not register: the provider its type implies (google for google_pubsub_topic), the one its provider meta-argument names, or one a module call passes on.
ModuleCall: A module "<localName>" { ... } call as a Dart value.
NoProviders: The Stack registers no provider, but declares resources or data sources.
ProviderConflict: Two provider registrations Terraform rejects together: two defaults of one name, a repeated alias, an alias that is not an identifier, or configurations of one name with different source / version constraints.
RefConstant<T>: The AppConstant.ref choice.
ReplaceTrigger: What lifecycle.replaceTriggeredBy lists: a resource of the Stack or an attribute getter of one. Resource and TfRef implement it; synth reports a data source or a data-source attribute as an InvalidLifecycle.
Resource: Base of every user-instantiable Terraform resource.
ResourceRef: Public for sealed pattern matching, but constructor is private — only TfRef.resource() may construct instances.
S3Backend: terraform { backend "s3" { ... } } configuration.
Sensitive<T>: What an argument Terraform marks sensitive takes: a variable, an expression or an attribute getter — a value Terraform resolves, never a Dart literal that would be written into main.tf.json.
SensitiveLiteral: A sensitive field is set to a literal, which would write the secret in plain text into main.tf.json.
Stack: User-extended IaC composition root.
StackBackend: Lightweight backend hook. Core ships GcsBackend, S3Backend, and LocalBackend; anything else implements this interface in the caller. The Stack only stores the value and exposes a discriminator for synth's terraform { backend ... } emitter.
StackProvider: Coordination interface between Stack (in this package) and concrete providers (e.g. GoogleProvider in terradart_google). Concrete providers implement every getter using their baked-in constants from Stage 2 codegen.
SynthIssue: One reason a Stack cannot be synthesized.
SynthResult: Bundle returned by StackSynth.synth.
TfAddressed: Anything that exposes a Terraform address, e.g. google_pubsub_topic.orders.
TfArg<T>: A Terraform argument: a Dart-side literal, a reference to another block's attribute (TfRef), a variable or a raw expression.
TfArgExpression<T>: A raw Terraform expression — the tf.json template string, verbatim.
TfArgLiteral<T>
TfArgVariable<T>
TfCollectionType: list(...), set(...) or map(...).
TfMoved: One moved { from = ... to = ... } block: the state object at from now belongs to the resource at to, so a rename does not become a destroy-and-create.
TfObjectType: object({ ... }).
TfOptionalType: optional(<type>[, <default>]).
TfOutput<T>: An output "<name>" { value = ... } block, registered with Stack.addOutput.
TfPrimitiveType: string, number, bool or any.
TfRef<T>: A Terraform-side reference: an attribute of a resource (AttributeRef) or a data source (DataRef), or a whole resource (ResourceRef).
TfTimeouts: timeouts { ... } on a resource or data source: how long Terraform waits for each operation before giving up.
TfTupleType: tuple([...]).
TfType: A Terraform type constraint: string, list(number), object({ name = string }).
TfVariable: One variable "<name>" { ... } declaration.
UndeclaredVariable: A TfArg.variable or var.<name> in an expression names a variable the Stack does not declare.
UnregisteredReference: A block references another block that was never registered on the Stack: built, but not passed to add(...) / addModule(...).
UnresolvableConstant: An AppConstant.ref whose value is not known at synth: the attribute is not set to a literal, is sensitive, does not match the constant's type, or belongs to a block that is not registered.
ValueConstant<T>: The AppConstant.value choice.
VertexAiDatasetEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_dataset (derived from provider schema).
VertexAiDeploymentResourcePoolAutoscalingMetricSpecs: Typed helper for the dedicated_resources.autoscaling_metric_specs block of google_vertex_ai_deployment_resource_pool (derived from provider schema).
VertexAiDeploymentResourcePoolDedicatedResources: Typed helper for the dedicated_resources block of google_vertex_ai_deployment_resource_pool (derived from provider schema).
VertexAiDeploymentResourcePoolMachineSpec: Typed helper for the dedicated_resources.machine_spec block of google_vertex_ai_deployment_resource_pool (derived from provider schema).
VertexAiEndpointBigqueryDestination: Typed helper for the predict_request_response_logging_config.bigquery_destination block of google_vertex_ai_endpoint (derived from provider schema).
VertexAiEndpointEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_endpoint (derived from provider schema).
VertexAiEndpointPredictRequestResponseLoggingConfig: Typed helper for the predict_request_response_logging_config block of google_vertex_ai_endpoint (derived from provider schema).
VertexAiEndpointPrivateServiceConnectConfig: Typed helper for the private_service_connect_config block of google_vertex_ai_endpoint (derived from provider schema).
VertexAiEndpointPscAutomationConfigs: Typed helper for the private_service_connect_config.psc_automation_configs block of google_vertex_ai_endpoint (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentAutoscalingMetricSpecs: Typed helper for the deploy_config.dedicated_resources.autoscaling_metric_specs block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentContainerSpec: Typed helper for the model_config.container_spec block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentDedicatedResources: Typed helper for the deploy_config.dedicated_resources block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentDeployConfig: Typed helper for the deploy_config block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentEndpointConfig: Typed helper for the endpoint_config block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentEnv: Typed helper for the model_config.container_spec.env block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentExec: Typed helper for the model_config.container_spec.health_probe.exec block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema). Shared by every block of this shape in the resource.
VertexAiEndpointWithModelGardenDeploymentGrpc: Typed helper for the model_config.container_spec.health_probe.grpc block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema). Shared by every block of this shape in the resource.
VertexAiEndpointWithModelGardenDeploymentGrpcPorts: Typed helper for the model_config.container_spec.grpc_ports block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentHealthProbe: Typed helper for the model_config.container_spec.health_probe block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentHttpGet: Typed helper for the model_config.container_spec.health_probe.http_get block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema). Shared by every block of this shape in the resource.
VertexAiEndpointWithModelGardenDeploymentHttpHeaders: Typed helper for the model_config.container_spec.health_probe.http_get.http_headers block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema). Shared by every block of this shape in the resource.
VertexAiEndpointWithModelGardenDeploymentHuggingFaceModel: Hugging Face model id (e.g. google/gemma-2-2b-it).
VertexAiEndpointWithModelGardenDeploymentLivenessProbe: Typed helper for the model_config.container_spec.liveness_probe block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentMachineSpec: Typed helper for the deploy_config.dedicated_resources.machine_spec block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentModel: Model identity for GoogleVertexAiEndpointWithModelGardenDeployment. Sealed so the MM exactly_one_of (publisher_model_name / hugging_face_model_id) is exhaustive at the type level.
VertexAiEndpointWithModelGardenDeploymentModelConfig: Typed helper for the model_config block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentPorts: Typed helper for the model_config.container_spec.ports block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentPrivateServiceConnectConfig: Typed helper for the endpoint_config.private_service_connect_config block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentPscAutomationConfigs: Typed helper for the endpoint_config.private_service_connect_config.psc_automation_configs block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentPublisherModel: Model Garden publisher model path (publishers/{publisher}/models/{model}@{version}).
VertexAiEndpointWithModelGardenDeploymentReservationAffinity: Typed helper for the deploy_config.dedicated_resources.machine_spec.reservation_affinity block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentStartupProbe: Typed helper for the model_config.container_spec.startup_probe block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema).
VertexAiEndpointWithModelGardenDeploymentTcpSocket: Typed helper for the model_config.container_spec.health_probe.tcp_socket block of google_vertex_ai_endpoint_with_model_garden_deployment (derived from provider schema). Shared by every block of this shape in the resource.
VertexAiEvaluationMetricEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_evaluation_metric (derived from provider schema).
VertexAiFeatureGroupBigQuery: Typed helper for the big_query block of google_vertex_ai_feature_group (derived from provider schema).
VertexAiFeatureGroupBigQuerySource: Typed helper for the big_query.big_query_source block of google_vertex_ai_feature_group (derived from provider schema).
VertexAiFeatureOnlineStoreBigtable: bigtable storage — Cloud Bigtable instance with required autoscaling.
VertexAiFeatureOnlineStoreBigtableAutoScaling: Autoscaling config under VertexAiFeatureOnlineStoreBigtable (auto_scaling list max 1).
VertexAiFeatureOnlineStoreDedicatedServingEndpoint: Typed helper for the dedicated_serving_endpoint block of google_vertex_ai_feature_online_store (derived from provider schema).
VertexAiFeatureOnlineStoreEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_feature_online_store (derived from provider schema).
VertexAiFeatureOnlineStoreFeatureviewBigQuerySource: Typed helper for the big_query_source block of google_vertex_ai_feature_online_store_featureview (derived from provider schema).
VertexAiFeatureOnlineStoreFeatureviewBigQuerySourceChoice: The VertexAiFeatureOnlineStoreFeatureviewSource.bigQuerySource choice: sets big_query_source.
VertexAiFeatureOnlineStoreFeatureviewFeatureGroups: Typed helper for the feature_registry_source.feature_groups block of google_vertex_ai_feature_online_store_featureview (derived from provider schema).
VertexAiFeatureOnlineStoreFeatureviewFeatureRegistrySource: Typed helper for the feature_registry_source block of google_vertex_ai_feature_online_store_featureview (derived from provider schema).
VertexAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceChoice: The VertexAiFeatureOnlineStoreFeatureviewSource.featureRegistrySource choice: sets feature_registry_source.
VertexAiFeatureOnlineStoreFeatureviewSource: Exactly one of big_query_source, feature_registry_source on google_vertex_ai_feature_online_store_featureview: the provider rejects none and more than one, so each variant sets one of them.
VertexAiFeatureOnlineStoreFeatureviewSyncConfig: At most one of cron, continuous on the sync_config block of google_vertex_ai_feature_online_store_featureview: the provider rejects more than one, so each variant sets one of them and a null choice sets none.
VertexAiFeatureOnlineStoreFeatureviewSyncConfigContinuous: The VertexAiFeatureOnlineStoreFeatureviewSyncConfig.continuous choice: sets continuous.
VertexAiFeatureOnlineStoreFeatureviewSyncConfigCron: The VertexAiFeatureOnlineStoreFeatureviewSyncConfig.cron choice: sets cron.
VertexAiFeatureOnlineStoreOptimized: optimized storage — empty object (allow_empty_object in MM).
VertexAiFeatureOnlineStorePrivateServiceConnectConfig: Typed helper for the dedicated_serving_endpoint.private_service_connect_config block of google_vertex_ai_feature_online_store (derived from provider schema).
VertexAiFeatureOnlineStoreStorage: Online serving storage for GoogleVertexAiFeatureOnlineStore. Sealed so the MM exactly_one_of (bigtable / optimized) is exhaustive at the type level.
VertexAiFeaturestoreEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_featurestore (derived from provider schema).
VertexAiFeaturestoreEntitytypeCategoricalThresholdConfig: Typed helper for the monitoring_config.categorical_threshold_config block of google_vertex_ai_featurestore_entitytype (derived from provider schema).
VertexAiFeaturestoreEntitytypeImportFeaturesAnalysis: Typed helper for the monitoring_config.import_features_analysis block of google_vertex_ai_featurestore_entitytype (derived from provider schema).
VertexAiFeaturestoreEntitytypeMonitoringConfig: Typed helper for the monitoring_config block of google_vertex_ai_featurestore_entitytype (derived from provider schema).
VertexAiFeaturestoreEntitytypeNumericalThresholdConfig: Typed helper for the monitoring_config.numerical_threshold_config block of google_vertex_ai_featurestore_entitytype (derived from provider schema).
VertexAiFeaturestoreEntitytypeSnapshotAnalysis: Typed helper for the monitoring_config.snapshot_analysis block of google_vertex_ai_featurestore_entitytype (derived from provider schema).
VertexAiFeaturestoreOnlineServingConfig: Exactly one of fixed_node_count, scaling on the online_serving_config block of google_vertex_ai_featurestore: the provider rejects none and more than one, so each variant sets one of them.
VertexAiFeaturestoreOnlineServingConfigFixedNodeCount: The VertexAiFeaturestoreOnlineServingConfig.fixedNodeCount choice: sets fixed_node_count.
VertexAiFeaturestoreOnlineServingConfigScaling: The VertexAiFeaturestoreOnlineServingConfig.scaling choice: sets scaling.
VertexAiFeaturestoreScaling: Typed helper for the online_serving_config.scaling block of google_vertex_ai_featurestore (derived from provider schema).
VertexAiIndexAlgorithmConfig: Exactly one of tree_ah_config, brute_force_config on the metadata.config.algorithm_config block of google_vertex_ai_index: the provider rejects none and more than one, so each variant sets one of them.
VertexAiIndexAlgorithmConfigBruteForceConfig: The VertexAiIndexAlgorithmConfig.bruteForceConfig choice: sets brute_force_config.
VertexAiIndexAlgorithmConfigTreeAhConfig: The VertexAiIndexAlgorithmConfig.treeAhConfig choice: sets tree_ah_config.
VertexAiIndexBruteForceConfig: Typed helper for the metadata.config.algorithm_config.brute_force_config block of google_vertex_ai_index (derived from provider schema).
VertexAiIndexConfig: Typed helper for the metadata.config block of google_vertex_ai_index (derived from provider schema).
VertexAiIndexEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_index (derived from provider schema).
VertexAiIndexEndpointConnectivity: At most one of network, private_service_connect_config on google_vertex_ai_index_endpoint: the provider rejects more than one, so each variant sets one of them and a null choice sets none.
VertexAiIndexEndpointConnectivityNetwork: The VertexAiIndexEndpointConnectivity.network choice: sets network.
VertexAiIndexEndpointConnectivityPrivateServiceConnectConfig: The VertexAiIndexEndpointConnectivity.privateServiceConnectConfig choice: sets private_service_connect_config.
VertexAiIndexEndpointDeployedIndexAuthConfig: Typed helper for the deployed_index_auth_config block of google_vertex_ai_index_endpoint_deployed_index (derived from provider schema).
VertexAiIndexEndpointDeployedIndexAuthProvider: Typed helper for the deployed_index_auth_config.auth_provider block of google_vertex_ai_index_endpoint_deployed_index (derived from provider schema).
VertexAiIndexEndpointDeployedIndexAutomaticResources: Typed helper for the automatic_resources block of google_vertex_ai_index_endpoint_deployed_index (derived from provider schema).
VertexAiIndexEndpointDeployedIndexDedicatedResources: Typed helper for the dedicated_resources block of google_vertex_ai_index_endpoint_deployed_index (derived from provider schema).
VertexAiIndexEndpointDeployedIndexMachineSpec: Typed helper for the dedicated_resources.machine_spec block of google_vertex_ai_index_endpoint_deployed_index (derived from provider schema).
VertexAiIndexEndpointEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_index_endpoint (derived from provider schema).
VertexAiIndexEndpointPrivateServiceConnectConfig: Typed helper for the private_service_connect_config block of google_vertex_ai_index_endpoint (derived from provider schema).
VertexAiIndexEndpointPscAutomationConfigs: Typed helper for the private_service_connect_config.psc_automation_configs block of google_vertex_ai_index_endpoint (derived from provider schema).
VertexAiIndexMetadata: Typed helper for the metadata block of google_vertex_ai_index (derived from provider schema).
VertexAiIndexTreeAhConfig: Typed helper for the metadata.config.algorithm_config.tree_ah_config block of google_vertex_ai_index (derived from provider schema).
VertexAiPersistentResourceAutoscalingSpec: Typed helper for the resource_pools.autoscaling_spec block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiPersistentResourceDiskSpec: Typed helper for the resource_pools.disk_spec block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiPersistentResourceDnsPeeringConfigs: Typed helper for the psc_interface_config.dns_peering_configs block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiPersistentResourceEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiPersistentResourceMachineSpec: Typed helper for the resource_pools.machine_spec block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiPersistentResourcePools: Typed helper for the resource_pools block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiPersistentResourcePscInterfaceConfig: Typed helper for the psc_interface_config block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiPersistentResourceRuntimeSpec: Typed helper for the resource_runtime_spec block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiPersistentResourceServiceAccountSpec: Typed helper for the resource_runtime_spec.service_account_spec block of google_vertex_ai_persistent_resource (derived from provider schema).
VertexAiRagCorpusAnn: Typed helper for the vector_db_config.rag_managed_db.ann block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusApiAuth: Typed helper for the vector_db_config.api_auth block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusApiKeyConfig: Exactly one of api_key_secret_version, api_key_string on the vector_db_config.api_auth.api_key_config block of google_vertex_ai_rag_corpus: the provider rejects none and more than one, so each variant sets one of them.
VertexAiRagCorpusApiKeyConfigApiKeySecretVersion: The VertexAiRagCorpusApiKeyConfig.apiKeySecretVersion choice: sets api_key_secret_version.
VertexAiRagCorpusApiKeyConfigApiKeyString: The VertexAiRagCorpusApiKeyConfig.apiKeyString choice: sets api_key_string.
VertexAiRagCorpusBackend: At most one of vector_db_config, vertex_ai_search_config on google_vertex_ai_rag_corpus: the provider rejects more than one, so each variant sets one of them and a null choice sets none.
VertexAiRagCorpusBackendVectorDbConfig: The VertexAiRagCorpusBackend.vectorDbConfig choice: sets vector_db_config.
VertexAiRagCorpusBackendVertexAiSearchConfig: The VertexAiRagCorpusBackend.vertexAiSearchConfig choice: sets vertex_ai_search_config.
VertexAiRagCorpusEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusKnn: Typed helper for the vector_db_config.rag_managed_db.knn block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusPinecone: Typed helper for the vector_db_config.pinecone block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusRagEmbeddingModelConfig: Typed helper for the vector_db_config.rag_embedding_model_config block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusRagManagedDb: Exactly one of knn, ann on the vector_db_config.rag_managed_db block of google_vertex_ai_rag_corpus: the provider rejects none and more than one, so each variant sets one of them.
VertexAiRagCorpusRagManagedDbAnn: The VertexAiRagCorpusRagManagedDb.ann choice: sets ann.
VertexAiRagCorpusRagManagedDbKnn: The VertexAiRagCorpusRagManagedDb.knn choice: sets knn.
VertexAiRagCorpusVectorDbConfig: Typed helper for the vector_db_config block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusVectorDbConfigBackend: At most one of rag_managed_db, pinecone, vertex_vector_search on the vector_db_config block of google_vertex_ai_rag_corpus: the provider rejects more than one, so each variant sets one of them and a null choice sets none.
VertexAiRagCorpusVectorDbConfigBackendPinecone: The VertexAiRagCorpusVectorDbConfigBackend.pinecone choice: sets pinecone.
VertexAiRagCorpusVectorDbConfigBackendRagManagedDb: The VertexAiRagCorpusVectorDbConfigBackend.ragManagedDb choice: sets rag_managed_db.
VertexAiRagCorpusVectorDbConfigBackendVertexVectorSearch: The VertexAiRagCorpusVectorDbConfigBackend.vertexVectorSearch choice: sets vertex_vector_search.
VertexAiRagCorpusVertexAiSearchConfig: Typed helper for the vertex_ai_search_config block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusVertexPredictionEndpoint: Typed helper for the vector_db_config.rag_embedding_model_config.vertex_prediction_endpoint block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagCorpusVertexVectorSearch: Typed helper for the vector_db_config.vertex_vector_search block of google_vertex_ai_rag_corpus (derived from provider schema).
VertexAiRagEngineConfigBasic: Typed helper for the rag_managed_db_config.basic block of google_vertex_ai_rag_engine_config (derived from provider schema).
VertexAiRagEngineConfigRagManagedDbConfig: Exactly one of scaled, basic, unprovisioned on the rag_managed_db_config block of google_vertex_ai_rag_engine_config: the provider rejects none and more than one, so each variant sets one of them.
VertexAiRagEngineConfigRagManagedDbConfigBasic: The VertexAiRagEngineConfigRagManagedDbConfig.basic choice: sets basic.
VertexAiRagEngineConfigRagManagedDbConfigScaled: The VertexAiRagEngineConfigRagManagedDbConfig.scaled choice: sets scaled.
VertexAiRagEngineConfigRagManagedDbConfigUnprovisioned: The VertexAiRagEngineConfigRagManagedDbConfig.unprovisioned choice: sets unprovisioned.
VertexAiRagEngineConfigScaled: Typed helper for the rag_managed_db_config.scaled block of google_vertex_ai_rag_engine_config (derived from provider schema).
VertexAiRagEngineConfigUnprovisioned: Typed helper for the rag_managed_db_config.unprovisioned block of google_vertex_ai_rag_engine_config (derived from provider schema).
VertexAiReasoningEngineAdkConfig: Typed helper for the spec.source_code_spec.agent_config_source.adk_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineAgentConfigSource: Typed helper for the spec.source_code_spec.agent_config_source block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineAgentConfigSourceInlineSource: Typed helper for the spec.source_code_spec.agent_config_source.inline_source block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineAgentGatewayConfig: Typed helper for the spec.deployment_spec.agent_gateway_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineAgentToAnywhereConfig: Typed helper for the spec.deployment_spec.agent_gateway_config.agent_to_anywhere_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineAudioTranscription: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.audio_transcription block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineBuildSpec: Typed helper for the spec.build_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineClientToAgentConfig: Typed helper for the spec.deployment_spec.agent_gateway_config.client_to_agent_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineCodeExecutionResult: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.code_execution_result block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineConfig: Typed helper for the spec.source_code_spec.developer_connect_source.config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineConsolidationConfig: Typed helper for the context_spec.memory_bank_config.customization_configs.consolidation_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineContainerSpec: Typed helper for the spec.container_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineContent: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineContextSpec: Typed helper for the context_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineConversationSource: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineCustomizationConfigs: Typed helper for the context_spec.memory_bank_config.customization_configs block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineCustomMemoryTopic: Typed helper for the context_spec.memory_bank_config.customization_configs.memory_topics.custom_memory_topic block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineDeployment: At most one of container_spec, source_code_spec on the spec block of google_vertex_ai_reasoning_engine: the provider rejects more than one, so each variant sets one of them and a null choice sets none.
VertexAiReasoningEngineDeploymentContainerSpec: The VertexAiReasoningEngineDeployment.containerSpec choice: sets container_spec.
VertexAiReasoningEngineDeploymentSourceCodeSpec: The VertexAiReasoningEngineDeployment.sourceCodeSpec choice: sets source_code_spec.
VertexAiReasoningEngineDeploymentSpec: Typed helper for the spec.deployment_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineDeveloperConnectSource: Typed helper for the spec.source_code_spec.developer_connect_source block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineDnsPeeringConfigs: Typed helper for the spec.deployment_spec.psc_interface_config.dns_peering_configs block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineEnv: Typed helper for the spec.deployment_spec.env block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineEvents: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineExecutableCode: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.executable_code block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineFileData: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.file_data block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineFunctionCall: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.function_call block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineFunctionResponse: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.function_response block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineGeneratedMemories: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.generated_memories block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineGenerateMemoriesExamples: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineGenerationConfig: Typed helper for the context_spec.memory_bank_config.generation_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineGenerationRule: Typed helper for the context_spec.memory_bank_config.generation_config.generation_trigger_config.generation_rule block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineGenerationTriggerConfig: Typed helper for the context_spec.memory_bank_config.generation_config.generation_trigger_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineGranularTtlConfig: Typed helper for the context_spec.memory_bank_config.ttl_config.granular_ttl_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineIamBindingCondition: Typed helper for the condition block of google_vertex_ai_reasoning_engine_iam_binding (derived from provider schema).
VertexAiReasoningEngineIamMemberCondition: Typed helper for the condition block of google_vertex_ai_reasoning_engine_iam_member (derived from provider schema).
VertexAiReasoningEngineImageSpec: Typed helper for the spec.source_code_spec.image_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineInlineData: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.inline_data block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineInlineSource: Typed helper for the spec.source_code_spec.inline_source block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineManagedMemoryTopic: Typed helper for the context_spec.memory_bank_config.customization_configs.memory_topics.managed_memory_topic block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineMemoryBankConfig: Typed helper for the context_spec.memory_bank_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineMemoryTopics: Exactly one of managed_memory_topic, custom_memory_topic on the context_spec.memory_bank_config.customization_configs.memory_topics block of google_vertex_ai_reasoning_engine: the provider rejects none and more than one, so each variant sets one of them.
VertexAiReasoningEngineMemoryTopicsCustomMemoryTopic: The VertexAiReasoningEngineMemoryTopics.customMemoryTopic choice: sets custom_memory_topic.
VertexAiReasoningEngineMemoryTopicsManagedMemoryTopic: The VertexAiReasoningEngineMemoryTopics.managedMemoryTopic choice: sets managed_memory_topic.
VertexAiReasoningEnginePackageSpec: Typed helper for the spec.package_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineParts: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEnginePolicy: Exactly one of default_ttl, granular_ttl_config on the context_spec.memory_bank_config.ttl_config block of google_vertex_ai_reasoning_engine: the provider rejects none and more than one, so each variant sets one of them.
VertexAiReasoningEnginePolicyDefaultTtl: The VertexAiReasoningEnginePolicy.defaultTtl choice: sets default_ttl.
VertexAiReasoningEnginePolicyGranularTtlConfig: The VertexAiReasoningEnginePolicy.granularTtlConfig choice: sets granular_ttl_config.
VertexAiReasoningEnginePscInterfaceConfig: Typed helper for the spec.deployment_spec.psc_interface_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEnginePythonSpec: Typed helper for the spec.source_code_spec.python_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineRuntime: At most one of image_spec, python_spec on the spec.source_code_spec block of google_vertex_ai_reasoning_engine: the provider rejects more than one, so each variant sets one of them and a null choice sets none.
VertexAiReasoningEngineRuntimeImageSpec: The VertexAiReasoningEngineRuntime.imageSpec choice: sets image_spec.
VertexAiReasoningEngineRuntimePythonSpec: The VertexAiReasoningEngineRuntime.pythonSpec choice: sets python_spec.
VertexAiReasoningEngineSchemaConfigs: Typed helper for the context_spec.memory_bank_config.structured_memory_configs.schema_configs block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineSecretEnv: Typed helper for the spec.deployment_spec.secret_env block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineSecretRef: Typed helper for the spec.deployment_spec.secret_env.secret_ref block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineSimilaritySearchConfig: Typed helper for the context_spec.memory_bank_config.similarity_search_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineSourceCodeSpec: Typed helper for the spec.source_code_spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineSpec: Typed helper for the spec block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineStructuredMemoryConfigs: Typed helper for the context_spec.memory_bank_config.structured_memory_configs block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineTopics: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.generated_memories.topics block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineTtlConfig: Typed helper for the context_spec.memory_bank_config.ttl_config block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineVideoMetadata: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.video_metadata block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiReasoningEngineWords: Typed helper for the context_spec.memory_bank_config.customization_configs.generate_memories_examples.conversation_source.events.content.parts.audio_transcription.words block of google_vertex_ai_reasoning_engine (derived from provider schema).
VertexAiSemanticGovernancePolicyEngineGatewayConfigs: Typed helper for the gateway_configs block of google_vertex_ai_semantic_governance_policy_engine (derived from provider schema).
VertexAiTensorboardEncryptionSpec: Typed helper for the encryption_spec block of google_vertex_ai_tensorboard (derived from provider schema).

Enums

ResourceKind: Whether a Stack entry is a resource block or a data block in Terraform JSON.

Extension Types

OutputEnvironment: The environment Stack.outputEnvironment returns: each variable and its value, in registration order.
RefTo: A reference to a resource of type R, for an argument that names another resource (network, vpc_id, role_arn, ...).
VertexAiReasoningEngineIdentityType: identity_type — derived from the provider schema description.
VertexAiReasoningEngineLanguage: language — derived from the provider schema description.
VertexAiReasoningEngineOutcome: outcome — derived from the provider schema description.
VertexAiReasoningEngineTopicsManagedMemoryTopic: managed_memory_topic — derived from the provider schema description.

Extensions

RefToList on TfArg<List<RefTo<R>>>: A list-valued reference argument (security_group_ids, subnet_ids): a literal list of RefTos, or one value that is the whole list (TfArg.variable('subnet_ids'), TfArg.expression(...)).
TerraformDurationExt on Duration: Converts a Dart Duration into a Terraform duration string ("604800s").

Constants

terradartManifestVariable → const String: The environment variable the terradart command sets to the file runStack and runEnvironments describe what they wrote in.

Functions

runEnvironments<E extends Enum>(List<String> args, List<E> environments, Stack build(E env), {String dir(E env)?, String? workspace(E env)?, List<String> backendConfig(E env)?, E? defaultEnv}) → Future<void>: The entry point of a project with one Stack per environment. The environments are the members of an enum of the project's own — any names, each carrying its values — so the Stack takes a typed env and derives everything per environment from it, its backend included:
runStack(List<String> args, Stack build(), {String out = 'tf-out'}) → Future<void>: The entry point of a project with one Stack: writes it to out.

Exceptions / Errors

DuplicateModuleError: A ModuleCall registered twice under one name.
DuplicateResourceError: Thrown by Stack.add when an entry with the same (kind, terraformType, localName) triple is registered twice.
SynthException: Thrown by Stack.synth() and Stack.writeTo() when the Stack has one or more SynthIssues. Nothing is written.

vertex_ai library

Classes

Enums

Extension Types

Extensions

Constants

Functions

Exceptions / Errors

terradart_google package

vertex_ai library