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  5. dialogflow/v2
  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>
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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]
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func LookupConversationModel(ctx *Context, args *LookupConversationModelArgs, opts ...InvokeOption) (*LookupConversationModelResult, error)
func LookupConversationModelOutput(ctx *Context, args *LookupConversationModelOutputArgs, opts ...InvokeOption) LookupConversationModelResultOutput
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> 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)
}
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public static CompletableFuture<GetConversationModelResult> getConversationModel(GetConversationModelArgs args, InvokeOptions options)
public static Output<GetConversationModelResult> getConversationModel(GetConversationModelArgs args, InvokeOptions options)
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fn::invoke:
  function: google-native:dialogflow/v2:getConversationModel
  arguments:
    # arguments dictionary
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The following arguments are supported:

ConversationModelId This property is required. string
Location This property is required. string
Project string
ConversationModelId This property is required. string
Location This property is required. string
Project string
conversationModelId This property is required. String
location This property is required. String
project String
conversationModelId This property is required. string
location This property is required. string
project string
conversation_model_id This property is required. str
location This property is required. str
project str
conversationModelId This property is required. String
location This property is required. String
project String

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 This property is required. string
Optional. Type of the article suggestion model. If not provided, model_type is used.
TrainingModelType This property is required. string
Optional. Type of the article suggestion model. If not provided, model_type is used.
trainingModelType This property is required. String
Optional. Type of the article suggestion model. If not provided, model_type is used.
trainingModelType This property is required. string
Optional. Type of the article suggestion model. If not provided, model_type is used.
training_model_type This property is required. str
Optional. Type of the article suggestion model. If not provided, model_type is used.
trainingModelType This property is required. String
Optional. Type of the article suggestion model. If not provided, model_type is used.

GoogleCloudDialogflowV2InputDatasetResponse

Dataset This property is required. string
ConversationDataset resource name. Format: projects//locations//conversationDatasets/
Dataset This property is required. string
ConversationDataset resource name. Format: projects//locations//conversationDatasets/
dataset This property is required. String
ConversationDataset resource name. Format: projects//locations//conversationDatasets/
dataset This property is required. string
ConversationDataset resource name. Format: projects//locations//conversationDatasets/
dataset This property is required. str
ConversationDataset resource name. Format: projects//locations//conversationDatasets/
dataset This property is required. String
ConversationDataset resource name. Format: projects//locations//conversationDatasets/

GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

TrainingModelType This property is required. string
Optional. Type of the smart reply model. If not provided, model_type is used.
TrainingModelType This property is required. string
Optional. Type of the smart reply model. If not provided, model_type is used.
trainingModelType This property is required. String
Optional. Type of the smart reply model. If not provided, model_type is used.
trainingModelType This property is required. string
Optional. Type of the smart reply model. If not provided, model_type is used.
training_model_type This property is required. str
Optional. Type of the smart reply model. If not provided, model_type is used.
trainingModelType This property is required. 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 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