Google Native

Pulumi Official
Package maintained by Pulumi
v0.23.0 published on Thursday, Aug 11, 2022 by Pulumi

getConversationModel

Gets conversation model.

Using getConversationModel

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getConversationModel(args: GetConversationModelArgs, opts?: InvokeOptions): Promise<GetConversationModelResult>
function getConversationModelOutput(args: GetConversationModelOutputArgs, opts?: InvokeOptions): Output<GetConversationModelResult>
def get_conversation_model(conversation_model_id: Optional[str] = None,
                           location: Optional[str] = None,
                           project: Optional[str] = None,
                           opts: Optional[InvokeOptions] = None) -> GetConversationModelResult
def get_conversation_model_output(conversation_model_id: Optional[pulumi.Input[str]] = None,
                           location: Optional[pulumi.Input[str]] = None,
                           project: Optional[pulumi.Input[str]] = None,
                           opts: Optional[InvokeOptions] = None) -> Output[GetConversationModelResult]
func LookupConversationModel(ctx *Context, args *LookupConversationModelArgs, opts ...InvokeOption) (*LookupConversationModelResult, error)
func LookupConversationModelOutput(ctx *Context, args *LookupConversationModelOutputArgs, opts ...InvokeOption) LookupConversationModelResultOutput

> Note: This function is named LookupConversationModel in the Go SDK.

public static class GetConversationModel 
{
    public static Task<GetConversationModelResult> InvokeAsync(GetConversationModelArgs args, InvokeOptions? opts = null)
    public static Output<GetConversationModelResult> Invoke(GetConversationModelInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetConversationModelResult> getConversationModel(GetConversationModelArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
Fn::Invoke:
  Function: google-native:dialogflow/v2:getConversationModel
  Arguments:
    # Arguments dictionary

The following arguments are supported:

getConversationModel Result

The following output properties are available:

ArticleSuggestionModelMetadata Pulumi.GoogleNative.Dialogflow.V2.Outputs.GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse

Metadata for article suggestion models.

CreateTime string

Creation time of this model.

Datasets List<Pulumi.GoogleNative.Dialogflow.V2.Outputs.GoogleCloudDialogflowV2InputDatasetResponse>

Datasets used to create model.

DisplayName string

The display name of the model. At most 64 bytes long.

LanguageCode string

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

Name string

ConversationModel resource name. Format: projects//conversationModels/

SmartReplyModelMetadata Pulumi.GoogleNative.Dialogflow.V2.Outputs.GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

Metadata for smart reply models.

State string

State of the model. A model can only serve prediction requests after it gets deployed.

ArticleSuggestionModelMetadata GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse

Metadata for article suggestion models.

CreateTime string

Creation time of this model.

Datasets []GoogleCloudDialogflowV2InputDatasetResponse

Datasets used to create model.

DisplayName string

The display name of the model. At most 64 bytes long.

LanguageCode string

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

Name string

ConversationModel resource name. Format: projects//conversationModels/

SmartReplyModelMetadata GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

Metadata for smart reply models.

State string

State of the model. A model can only serve prediction requests after it gets deployed.

articleSuggestionModelMetadata GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse

Metadata for article suggestion models.

createTime String

Creation time of this model.

datasets List<GoogleCloudDialogflowV2InputDatasetResponse>

Datasets used to create model.

displayName String

The display name of the model. At most 64 bytes long.

languageCode String

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

name String

ConversationModel resource name. Format: projects//conversationModels/

smartReplyModelMetadata GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

Metadata for smart reply models.

state String

State of the model. A model can only serve prediction requests after it gets deployed.

articleSuggestionModelMetadata GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse

Metadata for article suggestion models.

createTime string

Creation time of this model.

datasets GoogleCloudDialogflowV2InputDatasetResponse[]

Datasets used to create model.

displayName string

The display name of the model. At most 64 bytes long.

languageCode string

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

name string

ConversationModel resource name. Format: projects//conversationModels/

smartReplyModelMetadata GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

Metadata for smart reply models.

state string

State of the model. A model can only serve prediction requests after it gets deployed.

article_suggestion_model_metadata GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse

Metadata for article suggestion models.

create_time str

Creation time of this model.

datasets Sequence[GoogleCloudDialogflowV2InputDatasetResponse]

Datasets used to create model.

display_name str

The display name of the model. At most 64 bytes long.

language_code str

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

name str

ConversationModel resource name. Format: projects//conversationModels/

smart_reply_model_metadata GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

Metadata for smart reply models.

state str

State of the model. A model can only serve prediction requests after it gets deployed.

articleSuggestionModelMetadata Property Map

Metadata for article suggestion models.

createTime String

Creation time of this model.

datasets List<Property Map>

Datasets used to create model.

displayName String

The display name of the model. At most 64 bytes long.

languageCode String

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

name String

ConversationModel resource name. Format: projects//conversationModels/

smartReplyModelMetadata Property Map

Metadata for smart reply models.

state String

State of the model. A model can only serve prediction requests after it gets deployed.

Supporting Types

GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse

TrainingModelType string

Optional. Type of the article suggestion model. If not provided, model_type is used.

TrainingModelType string

Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType String

Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType string

Optional. Type of the article suggestion model. If not provided, model_type is used.

training_model_type str

Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType String

Optional. Type of the article suggestion model. If not provided, model_type is used.

GoogleCloudDialogflowV2InputDatasetResponse

Dataset string

ConversationDataset resource name. Format: projects//locations//conversationDatasets/

Dataset string

ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset String

ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset string

ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset str

ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset String

ConversationDataset resource name. Format: projects//locations//conversationDatasets/

GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

TrainingModelType string

Optional. Type of the smart reply model. If not provided, model_type is used.

TrainingModelType string

Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType String

Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType string

Optional. Type of the smart reply model. If not provided, model_type is used.

training_model_type str

Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType String

Optional. Type of the smart reply model. If not provided, model_type is used.

Package Details

Repository
https://github.com/pulumi/pulumi-google-native
License
Apache-2.0