| Class and Description |
|---|
| AcceleratorType
Represents a hardware accelerator type.
|
| ApiAuth
The generic reusable api auth config.
|
| ApiAuth.ApiKeyConfig
The API secret.
|
| ApiAuth.ApiKeyConfig.Builder
The API secret.
|
| ApiAuth.ApiKeyConfigOrBuilder |
| ApiAuth.AuthConfigCase |
| ApiAuth.Builder
The generic reusable api auth config.
|
| ApiAuthOrBuilder |
| Attribution
Attribution that explains a particular prediction output.
|
| Attribution.Builder
Attribution that explains a particular prediction output.
|
| AttributionOrBuilder |
| AutomaticResources
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
|
| AutomaticResources.Builder
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
|
| AutomaticResourcesOrBuilder |
| AutoscalingMetricSpec
The metric specification that defines the target resource utilization
(CPU utilization, accelerator's duty cycle, and so on) for calculating the
desired replica count.
|
| AutoscalingMetricSpec.Builder
The metric specification that defines the target resource utilization
(CPU utilization, accelerator's duty cycle, and so on) for calculating the
desired replica count.
|
| AutoscalingMetricSpecOrBuilder |
| AvroSource
The storage details for Avro input content.
|
| AvroSource.Builder
The storage details for Avro input content.
|
| AvroSourceOrBuilder |
| BatchDedicatedResources
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
| BatchDedicatedResources.Builder
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
| BatchDedicatedResourcesOrBuilder |
| BigQueryDestination
The BigQuery location for the output content.
|
| BigQueryDestination.Builder
The BigQuery location for the output content.
|
| BigQueryDestinationOrBuilder |
| BigQuerySource
The BigQuery location for the input content.
|
| BigQuerySource.Builder
The BigQuery location for the input content.
|
| BigQuerySourceOrBuilder |
| Blob
Content blob.
|
| Blob.Builder
Content blob.
|
| BlobOrBuilder |
| BlurBaselineConfig
Config for blur baseline.
|
| BlurBaselineConfig.Builder
Config for blur baseline.
|
| BlurBaselineConfigOrBuilder |
| BoolArray
A list of boolean values.
|
| BoolArray.Builder
A list of boolean values.
|
| BoolArrayOrBuilder |
| CachedContent
A resource used in LLM queries for users to explicitly specify what to cache
and how to cache.
|
| CachedContent.Builder
A resource used in LLM queries for users to explicitly specify what to cache
and how to cache.
|
| CachedContent.ExpirationCase |
| CachedContent.UsageMetadata
Metadata on the usage of the cached content.
|
| CachedContent.UsageMetadata.Builder
Metadata on the usage of the cached content.
|
| CachedContent.UsageMetadataOrBuilder |
| CachedContentName |
| CachedContentName.Builder
Builder for projects/{project}/locations/{location}/cachedContents/{cached_content}.
|
| CachedContentOrBuilder |
| Candidate
A response candidate generated from the model.
|
| Candidate.Builder
A response candidate generated from the model.
|
| Candidate.FinishReason
The reason why the model stopped generating tokens.
|
| CandidateOrBuilder |
| Citation
Source attributions for content.
|
| Citation.Builder
Source attributions for content.
|
| CitationMetadata
A collection of source attributions for a piece of content.
|
| CitationMetadata.Builder
A collection of source attributions for a piece of content.
|
| CitationMetadataOrBuilder |
| CitationOrBuilder |
| ClientConnectionConfig
Configurations (e.g. inference timeout) that are applied on your endpoints.
|
| ClientConnectionConfig.Builder
Configurations (e.g. inference timeout) that are applied on your endpoints.
|
| ClientConnectionConfigOrBuilder |
| CodeExecutionResult
Result of executing the [ExecutableCode].
|
| CodeExecutionResult.Builder
Result of executing the [ExecutableCode].
|
| CodeExecutionResult.Outcome
Enumeration of possible outcomes of the code execution.
|
| CodeExecutionResultOrBuilder |
| ComputeTokensRequest
Request message for ComputeTokens RPC call.
|
| ComputeTokensRequest.Builder
Request message for ComputeTokens RPC call.
|
| ComputeTokensRequestOrBuilder |
| ComputeTokensResponse
Response message for ComputeTokens RPC call.
|
| ComputeTokensResponse.Builder
Response message for ComputeTokens RPC call.
|
| ComputeTokensResponseOrBuilder |
| ContainerRegistryDestination
The Container Registry location for the container image.
|
| ContainerRegistryDestination.Builder
The Container Registry location for the container image.
|
| ContainerRegistryDestinationOrBuilder |
| Content
The base structured datatype containing multi-part content of a message.
|
| Content.Builder
The base structured datatype containing multi-part content of a message.
|
| ContentOrBuilder |
| CountTokensRequest
Request message for [PredictionService.CountTokens][].
|
| CountTokensRequest.Builder
Request message for [PredictionService.CountTokens][].
|
| CountTokensRequestOrBuilder |
| CountTokensResponse
Response message for [PredictionService.CountTokens][].
|
| CountTokensResponse.Builder
Response message for [PredictionService.CountTokens][].
|
| CountTokensResponseOrBuilder |
| CreateEndpointOperationMetadata
Runtime operation information for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointOperationMetadata.Builder
Runtime operation information for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointOperationMetadataOrBuilder |
| CreateEndpointRequest
Request message for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointRequest.Builder
Request message for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointRequestOrBuilder |
| CsvDestination
The storage details for CSV output content.
|
| CsvDestination.Builder
The storage details for CSV output content.
|
| CsvDestinationOrBuilder |
| CsvSource
The storage details for CSV input content.
|
| CsvSource.Builder
The storage details for CSV input content.
|
| CsvSourceOrBuilder |
| DedicatedResources
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
| DedicatedResources.Builder
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
| DedicatedResourcesOrBuilder |
| DeleteEndpointRequest
Request message for
[EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
|
| DeleteEndpointRequest.Builder
Request message for
[EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
|
| DeleteEndpointRequestOrBuilder |
| DeleteOperationMetadata
Details of operations that perform deletes of any entities.
|
| DeleteOperationMetadata.Builder
Details of operations that perform deletes of any entities.
|
| DeleteOperationMetadataOrBuilder |
| DeployedModel
A deployment of a Model.
|
| DeployedModel.Builder
A deployment of a Model.
|
| DeployedModel.PredictionResourcesCase |
| DeployedModel.Status
Runtime status of the deployed model.
|
| DeployedModel.Status.Builder
Runtime status of the deployed model.
|
| DeployedModel.StatusOrBuilder |
| DeployedModelOrBuilder |
| DeployModelOperationMetadata
Runtime operation information for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelOperationMetadata.Builder
Runtime operation information for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelOperationMetadataOrBuilder |
| DeployModelRequest
Request message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelRequest.Builder
Request message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelRequestOrBuilder |
| DeployModelResponse
Response message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelResponse.Builder
Response message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelResponseOrBuilder |
| DirectPredictRequest
Request message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictRequest.Builder
Request message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictRequestOrBuilder |
| DirectPredictResponse
Response message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictResponse.Builder
Response message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictResponseOrBuilder |
| DirectRawPredictRequest
Request message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictRequest.Builder
Request message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictRequestOrBuilder |
| DirectRawPredictResponse
Response message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictResponse.Builder
Response message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictResponseOrBuilder |
| DirectUploadSource
The input content is encapsulated and uploaded in the request.
|
| DirectUploadSource.Builder
The input content is encapsulated and uploaded in the request.
|
| DirectUploadSourceOrBuilder |
| DiskSpec
Represents the spec of disk options.
|
| DiskSpec.Builder
Represents the spec of disk options.
|
| DiskSpecOrBuilder |
| DoubleArray
A list of double values.
|
| DoubleArray.Builder
A list of double values.
|
| DoubleArrayOrBuilder |
| DynamicRetrievalConfig
Describes the options to customize dynamic retrieval.
|
| DynamicRetrievalConfig.Builder
Describes the options to customize dynamic retrieval.
|
| DynamicRetrievalConfig.Mode
The mode of the predictor to be used in dynamic retrieval.
|
| DynamicRetrievalConfigOrBuilder |
| EncryptionSpec
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
| EncryptionSpec.Builder
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
| EncryptionSpecOrBuilder |
| Endpoint
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
| Endpoint.Builder
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
| EndpointName |
| EndpointName.Builder
Builder for projects/{project}/locations/{location}/endpoints/{endpoint}.
|
| EndpointName.ProjectLocationPublisherModelBuilder
Builder for projects/{project}/locations/{location}/publishers/{publisher}/models/{model}.
|
| EndpointOrBuilder |
| EnterpriseWebSearch
Tool to search public web data, powered by Vertex AI Search and Sec4
compliance.
|
| EnterpriseWebSearch.Builder
Tool to search public web data, powered by Vertex AI Search and Sec4
compliance.
|
| EnterpriseWebSearchOrBuilder |
| Examples
Example-based explainability that returns the nearest neighbors from the
provided dataset.
|
| Examples.Builder
Example-based explainability that returns the nearest neighbors from the
provided dataset.
|
| Examples.ConfigCase |
| Examples.ExampleGcsSource
The Cloud Storage input instances.
|
| Examples.ExampleGcsSource.Builder
The Cloud Storage input instances.
|
| Examples.ExampleGcsSource.DataFormat
The format of the input example instances.
|
| Examples.ExampleGcsSourceOrBuilder |
| Examples.SourceCase |
| ExamplesOrBuilder |
| ExamplesOverride
Overrides for example-based explanations.
|
| ExamplesOverride.Builder
Overrides for example-based explanations.
|
| ExamplesOverride.DataFormat
Data format enum.
|
| ExamplesOverrideOrBuilder |
| ExamplesRestrictionsNamespace
Restrictions namespace for example-based explanations overrides.
|
| ExamplesRestrictionsNamespace.Builder
Restrictions namespace for example-based explanations overrides.
|
| ExamplesRestrictionsNamespaceOrBuilder |
| ExecutableCode
Code generated by the model that is meant to be executed, and the result
returned to the model.
|
| ExecutableCode.Builder
Code generated by the model that is meant to be executed, and the result
returned to the model.
|
| ExecutableCode.Language
Supported programming languages for the generated code.
|
| ExecutableCodeOrBuilder |
| ExplainRequest
Request message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainRequest.Builder
Request message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainRequestOrBuilder |
| ExplainResponse
Response message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainResponse.Builder
Response message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainResponseOrBuilder |
| Explanation
Explanation of a prediction (provided in
[PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
produced by the Model on a given
[instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
|
| Explanation.Builder
Explanation of a prediction (provided in
[PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
produced by the Model on a given
[instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
|
| ExplanationMetadata
Metadata describing the Model's input and output for explanation.
|
| ExplanationMetadata.Builder
Metadata describing the Model's input and output for explanation.
|
| ExplanationMetadata.InputMetadata
Metadata of the input of a feature.
|
| ExplanationMetadata.InputMetadata.Builder
Metadata of the input of a feature.
|
| ExplanationMetadata.InputMetadata.Encoding
Defines how a feature is encoded.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomain
Domain details of the input feature value.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder
Domain details of the input feature value.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomainOrBuilder |
| ExplanationMetadata.InputMetadata.Visualization
Visualization configurations for image explanation.
|
| ExplanationMetadata.InputMetadata.Visualization.Builder
Visualization configurations for image explanation.
|
| ExplanationMetadata.InputMetadata.Visualization.ColorMap
The color scheme used for highlighting areas.
|
| ExplanationMetadata.InputMetadata.Visualization.OverlayType
How the original image is displayed in the visualization.
|
| ExplanationMetadata.InputMetadata.Visualization.Polarity
Whether to only highlight pixels with positive contributions, negative
or both.
|
| ExplanationMetadata.InputMetadata.Visualization.Type
Type of the image visualization.
|
| ExplanationMetadata.InputMetadata.VisualizationOrBuilder |
| ExplanationMetadata.InputMetadataOrBuilder |
| ExplanationMetadata.OutputMetadata
Metadata of the prediction output to be explained.
|
| ExplanationMetadata.OutputMetadata.Builder
Metadata of the prediction output to be explained.
|
| ExplanationMetadata.OutputMetadata.DisplayNameMappingCase |
| ExplanationMetadata.OutputMetadataOrBuilder |
| ExplanationMetadataOrBuilder |
| ExplanationMetadataOverride
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
entries that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationMetadataOverride.Builder
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
entries that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationMetadataOverride.InputMetadataOverride
The [input
metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
entries to be overridden.
|
| ExplanationMetadataOverride.InputMetadataOverride.Builder
The [input
metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
entries to be overridden.
|
| ExplanationMetadataOverride.InputMetadataOverrideOrBuilder |
| ExplanationMetadataOverrideOrBuilder |
| ExplanationOrBuilder |
| ExplanationParameters
Parameters to configure explaining for Model's predictions.
|
| ExplanationParameters.Builder
Parameters to configure explaining for Model's predictions.
|
| ExplanationParameters.MethodCase |
| ExplanationParametersOrBuilder |
| ExplanationSpec
Specification of Model explanation.
|
| ExplanationSpec.Builder
Specification of Model explanation.
|
| ExplanationSpecOrBuilder |
| ExplanationSpecOverride
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationSpecOverride.Builder
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationSpecOverrideOrBuilder |
| FasterDeploymentConfig
Configuration for faster model deployment.
|
| FasterDeploymentConfig.Builder
Configuration for faster model deployment.
|
| FasterDeploymentConfigOrBuilder |
| FeatureNoiseSigma
Noise sigma by features.
|
| FeatureNoiseSigma.Builder
Noise sigma by features.
|
| FeatureNoiseSigma.NoiseSigmaForFeature
Noise sigma for a single feature.
|
| FeatureNoiseSigma.NoiseSigmaForFeature.Builder
Noise sigma for a single feature.
|
| FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilder |
| FeatureNoiseSigmaOrBuilder |
| FileData
URI based data.
|
| FileData.Builder
URI based data.
|
| FileDataOrBuilder |
| FunctionCall
A predicted [FunctionCall] returned from the model that contains a string
representing the [FunctionDeclaration.name] and a structured JSON object
containing the parameters and their values.
|
| FunctionCall.Builder
A predicted [FunctionCall] returned from the model that contains a string
representing the [FunctionDeclaration.name] and a structured JSON object
containing the parameters and their values.
|
| FunctionCallingConfig
Function calling config.
|
| FunctionCallingConfig.Builder
Function calling config.
|
| FunctionCallingConfig.Mode
Function calling mode.
|
| FunctionCallingConfigOrBuilder |
| FunctionCallOrBuilder |
| FunctionDeclaration
Structured representation of a function declaration as defined by the
[OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3).
|
| FunctionDeclaration.Builder
Structured representation of a function declaration as defined by the
[OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3).
|
| FunctionDeclarationOrBuilder |
| FunctionResponse
The result output from a [FunctionCall] that contains a string representing
the [FunctionDeclaration.name] and a structured JSON object containing any
output from the function is used as context to the model.
|
| FunctionResponse.Builder
The result output from a [FunctionCall] that contains a string representing
the [FunctionDeclaration.name] and a structured JSON object containing any
output from the function is used as context to the model.
|
| FunctionResponseOrBuilder |
| GcsDestination
The Google Cloud Storage location where the output is to be written to.
|
| GcsDestination.Builder
The Google Cloud Storage location where the output is to be written to.
|
| GcsDestinationOrBuilder |
| GcsSource
The Google Cloud Storage location for the input content.
|
| GcsSource.Builder
The Google Cloud Storage location for the input content.
|
| GcsSourceOrBuilder |
| GenerateContentRequest
Request message for [PredictionService.GenerateContent].
|
| GenerateContentRequest.Builder
Request message for [PredictionService.GenerateContent].
|
| GenerateContentRequestOrBuilder |
| GenerateContentResponse
Response message for [PredictionService.GenerateContent].
|
| GenerateContentResponse.Builder
Response message for [PredictionService.GenerateContent].
|
| GenerateContentResponse.PromptFeedback
Content filter results for a prompt sent in the request.
|
| GenerateContentResponse.PromptFeedback.BlockedReason
Blocked reason enumeration.
|
| GenerateContentResponse.PromptFeedback.Builder
Content filter results for a prompt sent in the request.
|
| GenerateContentResponse.PromptFeedbackOrBuilder |
| GenerateContentResponse.UsageMetadata
Usage metadata about response(s).
|
| GenerateContentResponse.UsageMetadata.Builder
Usage metadata about response(s).
|
| GenerateContentResponse.UsageMetadataOrBuilder |
| GenerateContentResponseOrBuilder |
| GenerationConfig
Generation config.
|
| GenerationConfig.Builder
Generation config.
|
| GenerationConfig.RoutingConfig
The configuration for routing the request to a specific model.
|
| GenerationConfig.RoutingConfig.AutoRoutingMode
When automated routing is specified, the routing will be determined by
the pretrained routing model and customer provided model routing
preference.
|
| GenerationConfig.RoutingConfig.AutoRoutingMode.Builder
When automated routing is specified, the routing will be determined by
the pretrained routing model and customer provided model routing
preference.
|
| GenerationConfig.RoutingConfig.AutoRoutingMode.ModelRoutingPreference
The model routing preference.
|
| GenerationConfig.RoutingConfig.AutoRoutingModeOrBuilder |
| GenerationConfig.RoutingConfig.Builder
The configuration for routing the request to a specific model.
|
| GenerationConfig.RoutingConfig.ManualRoutingMode
When manual routing is set, the specified model will be used directly.
|
| GenerationConfig.RoutingConfig.ManualRoutingMode.Builder
When manual routing is set, the specified model will be used directly.
|
| GenerationConfig.RoutingConfig.ManualRoutingModeOrBuilder |
| GenerationConfig.RoutingConfig.RoutingConfigCase |
| GenerationConfig.RoutingConfigOrBuilder |
| GenerationConfigOrBuilder |
| GenericOperationMetadata
Generic Metadata shared by all operations.
|
| GenericOperationMetadata.Builder
Generic Metadata shared by all operations.
|
| GenericOperationMetadataOrBuilder |
| GetEndpointRequest
Request message for
[EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
Protobuf type
google.cloud.vertexai.v1.GetEndpointRequest |
| GetEndpointRequest.Builder
Request message for
[EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
Protobuf type
google.cloud.vertexai.v1.GetEndpointRequest |
| GetEndpointRequestOrBuilder |
| GoogleDriveSource
The Google Drive location for the input content.
|
| GoogleDriveSource.Builder
The Google Drive location for the input content.
|
| GoogleDriveSource.ResourceId
The type and ID of the Google Drive resource.
|
| GoogleDriveSource.ResourceId.Builder
The type and ID of the Google Drive resource.
|
| GoogleDriveSource.ResourceId.ResourceType
The type of the Google Drive resource.
|
| GoogleDriveSource.ResourceIdOrBuilder |
| GoogleDriveSourceOrBuilder |
| GoogleSearchRetrieval
Tool to retrieve public web data for grounding, powered by Google.
|
| GoogleSearchRetrieval.Builder
Tool to retrieve public web data for grounding, powered by Google.
|
| GoogleSearchRetrievalOrBuilder |
| GroundingChunk
Grounding chunk.
|
| GroundingChunk.Builder
Grounding chunk.
|
| GroundingChunk.ChunkTypeCase |
| GroundingChunk.RetrievedContext
Chunk from context retrieved by the retrieval tools.
|
| GroundingChunk.RetrievedContext.Builder
Chunk from context retrieved by the retrieval tools.
|
| GroundingChunk.RetrievedContextOrBuilder |
| GroundingChunk.Web
Chunk from the web.
|
| GroundingChunk.Web.Builder
Chunk from the web.
|
| GroundingChunk.WebOrBuilder |
| GroundingChunkOrBuilder |
| GroundingMetadata
Metadata returned to client when grounding is enabled.
|
| GroundingMetadata.Builder
Metadata returned to client when grounding is enabled.
|
| GroundingMetadataOrBuilder |
| GroundingSupport
Grounding support.
|
| GroundingSupport.Builder
Grounding support.
|
| GroundingSupportOrBuilder |
| HarmCategory
Harm categories that will block the content.
|
| Int64Array
A list of int64 values.
|
| Int64Array.Builder
A list of int64 values.
|
| Int64ArrayOrBuilder |
| IntegratedGradientsAttribution
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure.
|
| IntegratedGradientsAttribution.Builder
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure.
|
| IntegratedGradientsAttributionOrBuilder |
| JiraSource
The Jira source for the ImportRagFilesRequest.
|
| JiraSource.Builder
The Jira source for the ImportRagFilesRequest.
|
| JiraSource.JiraQueries
JiraQueries contains the Jira queries and corresponding authentication.
|
| JiraSource.JiraQueries.Builder
JiraQueries contains the Jira queries and corresponding authentication.
|
| JiraSource.JiraQueriesOrBuilder |
| JiraSourceOrBuilder |
| ListEndpointsRequest
Request message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsRequest.Builder
Request message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsRequestOrBuilder |
| ListEndpointsResponse
Response message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsResponse.Builder
Response message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsResponseOrBuilder |
| LocationName |
| LocationName.Builder
Builder for projects/{project}/locations/{location}.
|
| LogprobsResult
Logprobs Result
Protobuf type
google.cloud.vertexai.v1.LogprobsResult |
| LogprobsResult.Builder
Logprobs Result
Protobuf type
google.cloud.vertexai.v1.LogprobsResult |
| LogprobsResult.Candidate
Candidate for the logprobs token and score.
|
| LogprobsResult.Candidate.Builder
Candidate for the logprobs token and score.
|
| LogprobsResult.CandidateOrBuilder |
| LogprobsResult.TopCandidates
Candidates with top log probabilities at each decoding step.
|
| LogprobsResult.TopCandidates.Builder
Candidates with top log probabilities at each decoding step.
|
| LogprobsResult.TopCandidatesOrBuilder |
| LogprobsResultOrBuilder |
| MachineSpec
Specification of a single machine.
|
| MachineSpec.Builder
Specification of a single machine.
|
| MachineSpecOrBuilder |
| Modality
Content Part modality
Protobuf enum
google.cloud.vertexai.v1.Modality |
| ModalityTokenCount
Represents token counting info for a single modality.
|
| ModalityTokenCount.Builder
Represents token counting info for a single modality.
|
| ModalityTokenCountOrBuilder |
| ModelExplanation
Aggregated explanation metrics for a Model over a set of instances.
|
| ModelExplanation.Builder
Aggregated explanation metrics for a Model over a set of instances.
|
| ModelExplanationOrBuilder |
| MutateDeployedModelOperationMetadata
Runtime operation information for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelOperationMetadata.Builder
Runtime operation information for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelOperationMetadataOrBuilder |
| MutateDeployedModelRequest
Request message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelRequest.Builder
Request message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelRequestOrBuilder |
| MutateDeployedModelResponse
Response message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelResponse.Builder
Response message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelResponseOrBuilder |
| Neighbor
Neighbors for example-based explanations.
|
| Neighbor.Builder
Neighbors for example-based explanations.
|
| NeighborOrBuilder |
| NfsMount
Represents a mount configuration for Network File System (NFS) to mount.
|
| NfsMount.Builder
Represents a mount configuration for Network File System (NFS) to mount.
|
| NfsMountOrBuilder |
| Part
A datatype containing media that is part of a multi-part `Content` message.
|
| Part.Builder
A datatype containing media that is part of a multi-part `Content` message.
|
| Part.DataCase |
| Part.MetadataCase |
| PartOrBuilder |
| PersistentDiskSpec
Represents the spec of [persistent
disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.
|
| PersistentDiskSpec.Builder
Represents the spec of [persistent
disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.
|
| PersistentDiskSpecOrBuilder |
| PredictRequest
Request message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictRequest.Builder
Request message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictRequestOrBuilder |
| PredictRequestResponseLoggingConfig
Configuration for logging request-response to a BigQuery table.
|
| PredictRequestResponseLoggingConfig.Builder
Configuration for logging request-response to a BigQuery table.
|
| PredictRequestResponseLoggingConfigOrBuilder |
| PredictResponse
Response message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictResponse.Builder
Response message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictResponseOrBuilder |
| Presets
Preset configuration for example-based explanations
Protobuf type
google.cloud.vertexai.v1.Presets |
| Presets.Builder
Preset configuration for example-based explanations
Protobuf type
google.cloud.vertexai.v1.Presets |
| Presets.Modality
Preset option controlling parameters for different modalities
Protobuf enum
google.cloud.vertexai.v1.Presets.Modality |
| Presets.Query
Preset option controlling parameters for query speed-precision trade-off
Protobuf enum
google.cloud.vertexai.v1.Presets.Query |
| PresetsOrBuilder |
| PrivateEndpoints
PrivateEndpoints proto is used to provide paths for users to send
requests privately.
|
| PrivateEndpoints.Builder
PrivateEndpoints proto is used to provide paths for users to send
requests privately.
|
| PrivateEndpointsOrBuilder |
| PrivateServiceConnectConfig
Represents configuration for private service connect.
|
| PrivateServiceConnectConfig.Builder
Represents configuration for private service connect.
|
| PrivateServiceConnectConfigOrBuilder |
| PscAutomatedEndpoints
PscAutomatedEndpoints defines the output of the forwarding rule
automatically created by each PscAutomationConfig.
|
| PscAutomatedEndpoints.Builder
PscAutomatedEndpoints defines the output of the forwarding rule
automatically created by each PscAutomationConfig.
|
| PscAutomatedEndpointsOrBuilder |
| PSCAutomationConfig
PSC config that is used to automatically create forwarding rule via
ServiceConnectionMap.
|
| PSCAutomationConfig.Builder
PSC config that is used to automatically create forwarding rule via
ServiceConnectionMap.
|
| PSCAutomationConfigOrBuilder |
| RagRetrievalConfig
Specifies the context retrieval config.
|
| RagRetrievalConfig.Builder
Specifies the context retrieval config.
|
| RagRetrievalConfig.Filter
Config for filters.
|
| RagRetrievalConfig.Filter.Builder
Config for filters.
|
| RagRetrievalConfig.Filter.VectorDbThresholdCase |
| RagRetrievalConfig.FilterOrBuilder |
| RagRetrievalConfig.Ranking
Config for ranking and reranking.
|
| RagRetrievalConfig.Ranking.Builder
Config for ranking and reranking.
|
| RagRetrievalConfig.Ranking.LlmRanker
Config for LlmRanker.
|
| RagRetrievalConfig.Ranking.LlmRanker.Builder
Config for LlmRanker.
|
| RagRetrievalConfig.Ranking.LlmRankerOrBuilder |
| RagRetrievalConfig.Ranking.RankingConfigCase |
| RagRetrievalConfig.Ranking.RankService
Config for Rank Service.
|
| RagRetrievalConfig.Ranking.RankService.Builder
Config for Rank Service.
|
| RagRetrievalConfig.Ranking.RankServiceOrBuilder |
| RagRetrievalConfig.RankingOrBuilder |
| RagRetrievalConfigOrBuilder |
| RawPredictRequest
Request message for
[PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
|
| RawPredictRequest.Builder
Request message for
[PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
|
| RawPredictRequestOrBuilder |
| ReservationAffinity
A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a
DeployedModel) to draw its Compute Engine resources from a Shared
Reservation, or exclusively from on-demand capacity.
|
| ReservationAffinity.Builder
A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a
DeployedModel) to draw its Compute Engine resources from a Shared
Reservation, or exclusively from on-demand capacity.
|
| ReservationAffinity.Type
Identifies a type of reservation affinity.
|
| ReservationAffinityOrBuilder |
| ResourcesConsumed
Statistics information about resource consumption.
|
| ResourcesConsumed.Builder
Statistics information about resource consumption.
|
| ResourcesConsumedOrBuilder |
| Retrieval
Defines a retrieval tool that model can call to access external knowledge.
|
| Retrieval.Builder
Defines a retrieval tool that model can call to access external knowledge.
|
| Retrieval.SourceCase |
| RetrievalConfig
Retrieval config.
|
| RetrievalConfig.Builder
Retrieval config.
|
| RetrievalConfigOrBuilder |
| RetrievalMetadata
Metadata related to retrieval in the grounding flow.
|
| RetrievalMetadata.Builder
Metadata related to retrieval in the grounding flow.
|
| RetrievalMetadataOrBuilder |
| RetrievalOrBuilder |
| SafetyRating
Safety rating corresponding to the generated content.
|
| SafetyRating.Builder
Safety rating corresponding to the generated content.
|
| SafetyRating.HarmProbability
Harm probability levels in the content.
|
| SafetyRating.HarmSeverity
Harm severity levels.
|
| SafetyRatingOrBuilder |
| SafetySetting
Safety settings.
|
| SafetySetting.Builder
Safety settings.
|
| SafetySetting.HarmBlockMethod
Probability vs severity.
|
| SafetySetting.HarmBlockThreshold
Probability based thresholds levels for blocking.
|
| SafetySettingOrBuilder |
| SampledShapleyAttribution
An attribution method that approximates Shapley values for features that
contribute to the label being predicted.
|
| SampledShapleyAttribution.Builder
An attribution method that approximates Shapley values for features that
contribute to the label being predicted.
|
| SampledShapleyAttributionOrBuilder |
| Schema
Schema is used to define the format of input/output data.
|
| Schema.Builder
Schema is used to define the format of input/output data.
|
| SchemaOrBuilder |
| SearchEntryPoint
Google search entry point.
|
| SearchEntryPoint.Builder
Google search entry point.
|
| SearchEntryPointOrBuilder |
| Segment
Segment of the content.
|
| Segment.Builder
Segment of the content.
|
| SegmentOrBuilder |
| SharePointSources
The SharePointSources to pass to ImportRagFiles.
|
| SharePointSources.Builder
The SharePointSources to pass to ImportRagFiles.
|
| SharePointSources.SharePointSource
An individual SharePointSource.
|
| SharePointSources.SharePointSource.Builder
An individual SharePointSource.
|
| SharePointSources.SharePointSource.DriveSourceCase |
| SharePointSources.SharePointSource.FolderSourceCase |
| SharePointSources.SharePointSourceOrBuilder |
| SharePointSourcesOrBuilder |
| ShieldedVmConfig
A set of Shielded Instance options.
|
| ShieldedVmConfig.Builder
A set of Shielded Instance options.
|
| ShieldedVmConfigOrBuilder |
| SlackSource
The Slack source for the ImportRagFilesRequest.
|
| SlackSource.Builder
The Slack source for the ImportRagFilesRequest.
|
| SlackSource.SlackChannels
SlackChannels contains the Slack channels and corresponding access token.
|
| SlackSource.SlackChannels.Builder
SlackChannels contains the Slack channels and corresponding access token.
|
| SlackSource.SlackChannels.SlackChannel
SlackChannel contains the Slack channel ID and the time range to import.
|
| SlackSource.SlackChannels.SlackChannel.Builder
SlackChannel contains the Slack channel ID and the time range to import.
|
| SlackSource.SlackChannels.SlackChannelOrBuilder |
| SlackSource.SlackChannelsOrBuilder |
| SlackSourceOrBuilder |
| SmoothGradConfig
Config for SmoothGrad approximation of gradients.
|
| SmoothGradConfig.Builder
Config for SmoothGrad approximation of gradients.
|
| SmoothGradConfig.GradientNoiseSigmaCase |
| SmoothGradConfigOrBuilder |
| SpeculativeDecodingSpec
Configuration for Speculative Decoding.
|
| SpeculativeDecodingSpec.Builder
Configuration for Speculative Decoding.
|
| SpeculativeDecodingSpec.DraftModelSpeculation
Draft model speculation works by using the smaller model to generate
candidate tokens for speculative decoding.
|
| SpeculativeDecodingSpec.DraftModelSpeculation.Builder
Draft model speculation works by using the smaller model to generate
candidate tokens for speculative decoding.
|
| SpeculativeDecodingSpec.DraftModelSpeculationOrBuilder |
| SpeculativeDecodingSpec.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.
|
| SpeculativeDecodingSpec.NgramSpeculation.Builder
N-Gram speculation works by trying to find matching tokens in the
previous prompt sequence and use those as speculation for generating
new tokens.
|
| SpeculativeDecodingSpec.NgramSpeculationOrBuilder |
| SpeculativeDecodingSpec.SpeculationCase |
| SpeculativeDecodingSpecOrBuilder |
| StreamDirectPredictRequest
Request message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictRequest.Builder
Request message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictRequestOrBuilder |
| StreamDirectPredictResponse
Response message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictResponse.Builder
Response message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictResponseOrBuilder |
| StreamDirectRawPredictRequest
Request message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictRequest.Builder
Request message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictRequestOrBuilder |
| StreamDirectRawPredictResponse
Response message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictResponse.Builder
Response message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictResponseOrBuilder |
| StreamingPredictRequest
Request message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictRequest.Builder
Request message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictRequestOrBuilder |
| StreamingPredictResponse
Response message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictResponse.Builder
Response message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictResponseOrBuilder |
| StreamingRawPredictRequest
Request message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictRequest.Builder
Request message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictRequestOrBuilder |
| StreamingRawPredictResponse
Response message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictResponse.Builder
Response message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictResponseOrBuilder |
| StreamRawPredictRequest
Request message for
[PredictionService.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict].
|
| StreamRawPredictRequest.Builder
Request message for
[PredictionService.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict].
|
| StreamRawPredictRequestOrBuilder |
| StringArray
A list of string values.
|
| StringArray.Builder
A list of string values.
|
| StringArrayOrBuilder |
| Tensor
A tensor value type.
|
| Tensor.Builder
A tensor value type.
|
| Tensor.DataType
Data type of the tensor.
|
| TensorOrBuilder |
| TFRecordDestination
The storage details for TFRecord output content.
|
| TFRecordDestination.Builder
The storage details for TFRecord output content.
|
| TFRecordDestinationOrBuilder |
| TokensInfo
Tokens info with a list of tokens and the corresponding list of token ids.
|
| TokensInfo.Builder
Tokens info with a list of tokens and the corresponding list of token ids.
|
| TokensInfoOrBuilder |
| Tool
Tool details that the model may use to generate response.
|
| Tool.Builder
Tool details that the model may use to generate response.
|
| Tool.CodeExecution
Tool that executes code generated by the model, and automatically returns
the result to the model.
|
| Tool.CodeExecution.Builder
Tool that executes code generated by the model, and automatically returns
the result to the model.
|
| Tool.CodeExecutionOrBuilder |
| Tool.GoogleSearch
GoogleSearch tool type.
|
| Tool.GoogleSearch.Builder
GoogleSearch tool type.
|
| Tool.GoogleSearchOrBuilder |
| ToolConfig
Tool config.
|
| ToolConfig.Builder
Tool config.
|
| ToolConfigOrBuilder |
| ToolOrBuilder |
| Type
Type contains the list of OpenAPI data types as defined by
https://swagger.io/docs/specification/data-models/data-types/
Protobuf enum
google.cloud.vertexai.v1.Type |
| UndeployModelOperationMetadata
Runtime operation information for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelOperationMetadata.Builder
Runtime operation information for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelOperationMetadataOrBuilder |
| UndeployModelRequest
Request message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelRequest.Builder
Request message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelRequestOrBuilder |
| UndeployModelResponse
Response message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelResponse.Builder
Response message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelResponseOrBuilder |
| UpdateEndpointLongRunningRequest
Request message for
[EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
|
| UpdateEndpointLongRunningRequest.Builder
Request message for
[EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
|
| UpdateEndpointLongRunningRequestOrBuilder |
| UpdateEndpointOperationMetadata
Runtime operation information for
[EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
|
| UpdateEndpointOperationMetadata.Builder
Runtime operation information for
[EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
|
| UpdateEndpointOperationMetadataOrBuilder |
| UpdateEndpointRequest
Request message for
[EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
|
| UpdateEndpointRequest.Builder
Request message for
[EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
|
| UpdateEndpointRequestOrBuilder |
| VertexAISearch
Retrieve from Vertex AI Search datastore for grounding.
|
| VertexAISearch.Builder
Retrieve from Vertex AI Search datastore for grounding.
|
| VertexAISearchOrBuilder |
| VertexRagStore
Retrieve from Vertex RAG Store for grounding.
|
| VertexRagStore.Builder
Retrieve from Vertex RAG Store for grounding.
|
| VertexRagStore.RagResource
The definition of the Rag resource.
|
| VertexRagStore.RagResource.Builder
The definition of the Rag resource.
|
| VertexRagStore.RagResourceOrBuilder |
| VertexRagStoreOrBuilder |
| VideoMetadata
Metadata describes the input video content.
|
| VideoMetadata.Builder
Metadata describes the input video content.
|
| VideoMetadataOrBuilder |
| XraiAttribution
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure.
|
| XraiAttribution.Builder
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure.
|
| XraiAttributionOrBuilder |
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