Interface ConversationModelOrBuilder (4.82.0)

public interface ConversationModelOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getArticleSuggestionModelMetadata()

public abstract ArticleSuggestionModelMetadata getArticleSuggestionModelMetadata()

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Returns
Type	Description
`ArticleSuggestionModelMetadata`	The articleSuggestionModelMetadata.

getArticleSuggestionModelMetadataOrBuilder()

public abstract ArticleSuggestionModelMetadataOrBuilder getArticleSuggestionModelMetadataOrBuilder()

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Returns
Type	Description
`ArticleSuggestionModelMetadataOrBuilder`

getCreateTime()

public abstract Timestamp getCreateTime()

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`Timestamp`	The createTime.

getCreateTimeOrBuilder()

public abstract TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`TimestampOrBuilder`

getDatasets(int index)

public abstract InputDataset getDatasets(int index)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`InputDataset`

getDatasetsCount()

public abstract int getDatasetsCount()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`int`

getDatasetsList()

public abstract List<InputDataset> getDatasetsList()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`List<InputDataset>`

getDatasetsOrBuilder(int index)

public abstract InputDatasetOrBuilder getDatasetsOrBuilder(int index)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`InputDatasetOrBuilder`

getDatasetsOrBuilderList()

public abstract List<? extends InputDatasetOrBuilder> getDatasetsOrBuilderList()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`List<? extends com.google.cloud.dialogflow.v2.InputDatasetOrBuilder>`

getDisplayName()

public abstract String getDisplayName()

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

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`String`	The displayName.

getDisplayNameBytes()

public abstract ByteString getDisplayNameBytes()

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

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`ByteString`	The bytes for displayName.

getLanguageCode()

public abstract String getLanguageCode()

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".

string language_code = 19;

Returns
Type	Description
`String`	The languageCode.

getLanguageCodeBytes()

public abstract ByteString getLanguageCodeBytes()

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".

string language_code = 19;

Returns
Type	Description
`ByteString`	The bytes for languageCode.

getModelMetadataCase()

public abstract ConversationModel.ModelMetadataCase getModelMetadataCase()

Returns
Type	Description
`ConversationModel.ModelMetadataCase`

getName()

public abstract String getName()

ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>

string name = 1;

Returns
Type	Description
`String`	The name.

getNameBytes()

public abstract ByteString getNameBytes()

ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>

string name = 1;

Returns
Type	Description
`ByteString`	The bytes for name.

getSatisfiesPzi()

public abstract boolean getSatisfiesPzi()

Output only. A read only boolean field reflecting Zone Isolation status of the model.

optional bool satisfies_pzi = 26 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`boolean`	The satisfiesPzi.

getSatisfiesPzs()

public abstract boolean getSatisfiesPzs()

Output only. A read only boolean field reflecting Zone Separation status of the model.

optional bool satisfies_pzs = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`boolean`	The satisfiesPzs.

getSmartReplyModelMetadata()

public abstract SmartReplyModelMetadata getSmartReplyModelMetadata()

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Returns
Type	Description
`SmartReplyModelMetadata`	The smartReplyModelMetadata.

getSmartReplyModelMetadataOrBuilder()

public abstract SmartReplyModelMetadataOrBuilder getSmartReplyModelMetadataOrBuilder()

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Returns
Type	Description
`SmartReplyModelMetadataOrBuilder`

getState()

public abstract ConversationModel.State getState()

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

.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`ConversationModel.State`	The state.

getStateValue()

public abstract int getStateValue()

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

.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`int`	The enum numeric value on the wire for state.

hasArticleSuggestionModelMetadata()

public abstract boolean hasArticleSuggestionModelMetadata()

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Returns
Type	Description
`boolean`	Whether the articleSuggestionModelMetadata field is set.

hasCreateTime()

public abstract boolean hasCreateTime()

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`boolean`	Whether the createTime field is set.

hasSatisfiesPzi()

public abstract boolean hasSatisfiesPzi()

Output only. A read only boolean field reflecting Zone Isolation status of the model.

optional bool satisfies_pzi = 26 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`boolean`	Whether the satisfiesPzi field is set.

hasSatisfiesPzs()

public abstract boolean hasSatisfiesPzs()

Output only. A read only boolean field reflecting Zone Separation status of the model.

optional bool satisfies_pzs = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`boolean`	Whether the satisfiesPzs field is set.

hasSmartReplyModelMetadata()

public abstract boolean hasSmartReplyModelMetadata()

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Returns
Type	Description
`boolean`	Whether the smartReplyModelMetadata field is set.

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Last updated 2025-10-11 UTC.