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  6. getConversationModel

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.dialogflow/v2.getConversationModel

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    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
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native