Package google.cloud.dialogflow.v2

Index

• Agents (interface)
• AnswerRecords (interface)
• Contexts (interface)
• ConversationDatasets (interface)
• ConversationModels (interface)
• ConversationProfiles (interface)
• Conversations (interface)
• Documents (interface)
• EncryptionSpecService (interface)
• EntityTypes (interface)
• Environments (interface)
• Fulfillments (interface)
• Generators (interface)
• Intents (interface)
• KnowledgeBases (interface)
• Participants (interface)
• SessionEntityTypes (interface)
• Sessions (interface)
• Versions (interface)
• Agent (message)
• Agent.ApiVersion (enum)
• Agent.MatchMode (enum)
• Agent.Tier (enum)
• AgentAssistantFeedback (message)
• AgentAssistantFeedback.AnswerRelevance (enum)
• AgentAssistantFeedback.DocumentCorrectness (enum)
• AgentAssistantFeedback.DocumentEfficiency (enum)
• AgentAssistantFeedback.KnowledgeAssistFeedback (message)
• AgentAssistantFeedback.KnowledgeSearchFeedback (message)
• AgentAssistantFeedback.SummarizationFeedback (message)
• AgentAssistantRecord (message)
• AnalyzeContentRequest (message)
• AnalyzeContentResponse (message)
• AnnotatedMessagePart (message)
• AnswerFeedback (message)
• AnswerFeedback.CorrectnessLevel (enum)
• AnswerRecord (message)
• ArticleAnswer (message)
• ArticleSuggestionModelMetadata (message)
• AssistQueryParameters (message)
• AudioEncoding (enum)
• AutomatedAgentConfig (message)
• AutomatedAgentReply (message)
• AutomatedAgentReply.AutomatedAgentReplyType (enum)
• BatchCreateEntitiesRequest (message)
• BatchDeleteEntitiesRequest (message)
• BatchDeleteEntityTypesRequest (message)
• BatchDeleteIntentsRequest (message)
• BatchUpdateEntitiesRequest (message)
• BatchUpdateEntityTypesRequest (message)
• BatchUpdateEntityTypesResponse (message)
• BatchUpdateIntentsRequest (message)
• BatchUpdateIntentsResponse (message)
• ClearSuggestionFeatureConfigOperationMetadata (message)
• ClearSuggestionFeatureConfigRequest (message)
• CloudConversationDebuggingInfo (message)
• CompleteConversationRequest (message)
• Context (message)
• Conversation (message)
• Conversation.ConversationStage (enum)
• Conversation.LifecycleState (enum)
• ConversationContext (message)
• ConversationDataset (message)
• ConversationEvent (message)
• ConversationEvent.Type (enum)
• ConversationInfo (message)
• ConversationModel (message)
• ConversationModel.ModelType (enum)
• ConversationModel.State (enum)
• ConversationModelEvaluation (message)
• ConversationPhoneNumber (message)
• ConversationProfile (message)
• CreateContextRequest (message)
• CreateConversationDatasetOperationMetadata (message)
• CreateConversationDatasetRequest (message)
• CreateConversationModelEvaluationOperationMetadata (message)
• CreateConversationModelEvaluationOperationMetadata.State (enum)
• CreateConversationModelEvaluationRequest (message)
• CreateConversationModelOperationMetadata (message)
• CreateConversationModelOperationMetadata.State (enum)
• CreateConversationModelRequest (message)
• CreateConversationProfileRequest (message)
• CreateConversationRequest (message)
• CreateDocumentRequest (message)
• CreateEntityTypeRequest (message)
• CreateEnvironmentRequest (message)
• CreateGeneratorRequest (message)
• CreateIntentRequest (message)
• CreateKnowledgeBaseRequest (message)
• CreateParticipantRequest (message)
• CreateSessionEntityTypeRequest (message)
• CreateVersionRequest (message)
• DeleteAgentRequest (message)
• DeleteAllContextsRequest (message)
• DeleteContextRequest (message)
• DeleteConversationDatasetOperationMetadata (message)
• DeleteConversationDatasetRequest (message)
• DeleteConversationModelOperationMetadata (message)
• DeleteConversationModelRequest (message)
• DeleteConversationProfileRequest (message)
• DeleteDocumentRequest (message)
• DeleteEntityTypeRequest (message)
• DeleteEnvironmentRequest (message)
• DeleteGeneratorRequest (message)
• DeleteIntentRequest (message)
• DeleteKnowledgeBaseRequest (message)
• DeleteSessionEntityTypeRequest (message)
• DeleteVersionRequest (message)
• DeployConversationModelOperationMetadata (message)
• DeployConversationModelRequest (message)
• DetectIntentRequest (message)
• DetectIntentResponse (message)
• DialogflowAssistAnswer (message)
• Document (message)
• Document.KnowledgeType (enum)
• Document.ReloadStatus (message)
• Document.State (enum)
• DtmfParameters (message)
• EncryptionSpec (message)
• EntityType (message)
• EntityType.AutoExpansionMode (enum)
• EntityType.Entity (message)
• EntityType.Kind (enum)
• EntityTypeBatch (message)
• Environment (message)
• Environment.State (enum)
• EnvironmentHistory (message)
• EnvironmentHistory.Entry (message)
• EvaluationConfig (message)
• EvaluationConfig.SmartComposeConfig (message)
• EvaluationConfig.SmartReplyConfig (message)
• EventInput (message)
• ExportAgentRequest (message)
• ExportAgentResponse (message)
• ExportDocumentRequest (message)
• ExportOperationMetadata (message)
• FaqAnswer (message)
• FewShotExample (message)
• Fulfillment (message)
• Fulfillment.Feature (message)
• Fulfillment.Feature.Type (enum)
• Fulfillment.GenericWebService (message)
• GcsDestination (message)
• GcsSources (message)
• GenerateStatelessSuggestionRequest (message)
• GenerateStatelessSuggestionResponse (message)
• GenerateStatelessSummaryRequest (message)
• GenerateStatelessSummaryRequest.MinimalConversation (message)
• GenerateStatelessSummaryResponse (message)
• GenerateStatelessSummaryResponse.Summary (message)
• Generator (message)
• GeneratorSuggestion (message)
• GetAgentRequest (message)
• GetContextRequest (message)
• GetConversationDatasetRequest (message)
• GetConversationModelEvaluationRequest (message)
• GetConversationModelRequest (message)
• GetConversationProfileRequest (message)
• GetConversationRequest (message)
• GetDocumentRequest (message)
• GetEncryptionSpecRequest (message)
• GetEntityTypeRequest (message)
• GetEnvironmentHistoryRequest (message)
• GetEnvironmentRequest (message)
• GetFulfillmentRequest (message)
• GetGeneratorRequest (message)
• GetIntentRequest (message)
• GetKnowledgeBaseRequest (message)
• GetParticipantRequest (message)
• GetSessionEntityTypeRequest (message)
• GetValidationResultRequest (message)
• GetVersionRequest (message)
• HumanAgentAssistantConfig (message)
• HumanAgentAssistantConfig.ConversationModelConfig (message)
• HumanAgentAssistantConfig.ConversationProcessConfig (message)
• HumanAgentAssistantConfig.MessageAnalysisConfig (message)
• HumanAgentAssistantConfig.SuggestionConfig (message)
• HumanAgentAssistantConfig.SuggestionFeatureConfig (message)
• HumanAgentAssistantConfig.SuggestionQueryConfig (message)
• HumanAgentAssistantConfig.SuggestionQueryConfig.ContextFilterSettings (message)
• HumanAgentAssistantConfig.SuggestionQueryConfig.DialogflowQuerySource (message)
• HumanAgentAssistantConfig.SuggestionQueryConfig.DialogflowQuerySource.HumanAgentSideConfig (message)
• HumanAgentAssistantConfig.SuggestionQueryConfig.DocumentQuerySource (message)
• HumanAgentAssistantConfig.SuggestionQueryConfig.KnowledgeBaseQuerySource (message)
• HumanAgentAssistantConfig.SuggestionQueryConfig.Sections (message)
• HumanAgentAssistantConfig.SuggestionQueryConfig.Sections.SectionType (enum)
• HumanAgentAssistantConfig.SuggestionTriggerSettings (message)
• HumanAgentAssistantEvent (message)
• HumanAgentHandoffConfig (message)
• HumanAgentHandoffConfig.LivePersonConfig (message)
• HumanAgentHandoffConfig.SalesforceLiveAgentConfig (message)
• ImportAgentRequest (message)
• ImportConversationDataOperationMetadata (message)
• ImportConversationDataOperationResponse (message)
• ImportConversationDataRequest (message)
• ImportDocumentTemplate (message)
• ImportDocumentsRequest (message)
• ImportDocumentsResponse (message)
• InferenceParameter (message)
• InitializeEncryptionSpecMetadata (message)
• InitializeEncryptionSpecRequest (message)
• InitializeEncryptionSpecResponse (message)
• InputAudioConfig (message)
• InputConfig (message)
• InputDataset (message)
• InputTextConfig (message)
• Intent (message)
• Intent.FollowupIntentInfo (message)
• Intent.Message (message)
• Intent.Message.BasicCard (message)
• Intent.Message.BasicCard.Button (message)
• Intent.Message.BasicCard.Button.OpenUriAction (message)
• Intent.Message.BrowseCarouselCard (message)
• Intent.Message.BrowseCarouselCard.BrowseCarouselCardItem (message)
• Intent.Message.BrowseCarouselCard.BrowseCarouselCardItem.OpenUrlAction (message)
• Intent.Message.BrowseCarouselCard.BrowseCarouselCardItem.OpenUrlAction.UrlTypeHint (enum)
• Intent.Message.BrowseCarouselCard.ImageDisplayOptions (enum)
• Intent.Message.Card (message)
• Intent.Message.Card.Button (message)
• Intent.Message.CarouselSelect (message)
• Intent.Message.CarouselSelect.Item (message)
• Intent.Message.ColumnProperties (message)
• Intent.Message.ColumnProperties.HorizontalAlignment (enum)
• Intent.Message.Image (message)
• Intent.Message.LinkOutSuggestion (message)
• Intent.Message.ListSelect (message)
• Intent.Message.ListSelect.Item (message)
• Intent.Message.MediaContent (message)
• Intent.Message.MediaContent.ResponseMediaObject (message)
• Intent.Message.MediaContent.ResponseMediaType (enum)
• Intent.Message.Platform (enum)
• Intent.Message.QuickReplies (message)
• Intent.Message.SelectItemInfo (message)
• Intent.Message.SimpleResponse (message)
• Intent.Message.SimpleResponses (message)
• Intent.Message.Suggestion (message)
• Intent.Message.Suggestions (message)
• Intent.Message.TableCard (message)
• Intent.Message.TableCardCell (message)
• Intent.Message.TableCardRow (message)
• Intent.Message.Text (message)
• Intent.Parameter (message)
• Intent.TrainingPhrase (message)
• Intent.TrainingPhrase.Part (message)
• Intent.TrainingPhrase.Type (enum)
• Intent.WebhookState (enum)
• IntentBatch (message)
• IntentSuggestion (message)
• IntentView (enum)
• KnowledgeAssistAnswer (message)
• KnowledgeAssistAnswer.KnowledgeAnswer (message)
• KnowledgeAssistAnswer.KnowledgeAnswer.FaqSource (message)
• KnowledgeAssistAnswer.KnowledgeAnswer.GenerativeSource (message)
• KnowledgeAssistAnswer.KnowledgeAnswer.GenerativeSource.Snippet (message)
• KnowledgeAssistAnswer.SuggestedQuery (message)
• KnowledgeBase (message)
• KnowledgeOperationMetadata (message)
• KnowledgeOperationMetadata.State (enum)
• ListAnswerRecordsRequest (message)
• ListAnswerRecordsResponse (message)
• ListContextsRequest (message)
• ListContextsResponse (message)
• ListConversationDatasetsRequest (message)
• ListConversationDatasetsResponse (message)
• ListConversationModelEvaluationsRequest (message)
• ListConversationModelEvaluationsResponse (message)
• ListConversationModelsRequest (message)
• ListConversationModelsResponse (message)
• ListConversationProfilesRequest (message)
• ListConversationProfilesResponse (message)
• ListConversationsRequest (message)
• ListConversationsResponse (message)
• ListDocumentsRequest (message)
• ListDocumentsResponse (message)
• ListEntityTypesRequest (message)
• ListEntityTypesResponse (message)
• ListEnvironmentsRequest (message)
• ListEnvironmentsResponse (message)
• ListGeneratorsRequest (message)
• ListGeneratorsResponse (message)
• ListIntentsRequest (message)
• ListIntentsResponse (message)
• ListKnowledgeBasesRequest (message)
• ListKnowledgeBasesResponse (message)
• ListMessagesRequest (message)
• ListMessagesResponse (message)
• ListParticipantsRequest (message)
• ListParticipantsResponse (message)
• ListSessionEntityTypesRequest (message)
• ListSessionEntityTypesResponse (message)
• ListVersionsRequest (message)
• ListVersionsResponse (message)
• LoggingConfig (message)
• Message (message)
• MessageAnnotation (message)
• MessageEntry (message)
• MessageEntry.Role (enum)
• NotificationConfig (message)
• NotificationConfig.MessageFormat (enum)
• OriginalDetectIntentRequest (message)
• OutputAudio (message)
• OutputAudioConfig (message)
• OutputAudioEncoding (enum)
• Participant (message)
• Participant.Role (enum)
• QueryInput (message)
• QueryParameters (message)
• QueryResult (message)
• ReloadDocumentRequest (message)
• RestoreAgentRequest (message)
• SearchAgentsRequest (message)
• SearchAgentsResponse (message)
• SearchKnowledgeAnswer (message)
• SearchKnowledgeAnswer.AnswerSource (message)
• SearchKnowledgeAnswer.AnswerType (enum)
• SearchKnowledgeRequest (message)
• SearchKnowledgeRequest.QuerySource (enum)
• SearchKnowledgeRequest.SearchConfig (message)
• SearchKnowledgeRequest.SearchConfig.BoostSpecs (message)
• SearchKnowledgeRequest.SearchConfig.BoostSpecs.BoostSpec (message)
• SearchKnowledgeRequest.SearchConfig.BoostSpecs.BoostSpec.ConditionBoostSpec (message)
• SearchKnowledgeRequest.SearchConfig.BoostSpecs.BoostSpec.ConditionBoostSpec.BoostControlSpec (message)
• SearchKnowledgeRequest.SearchConfig.BoostSpecs.BoostSpec.ConditionBoostSpec.BoostControlSpec.AttributeType (enum)
• SearchKnowledgeRequest.SearchConfig.BoostSpecs.BoostSpec.ConditionBoostSpec.BoostControlSpec.ControlPoint (message)
• SearchKnowledgeRequest.SearchConfig.BoostSpecs.BoostSpec.ConditionBoostSpec.BoostControlSpec.InterpolationType (enum)
• SearchKnowledgeRequest.SearchConfig.FilterSpecs (message)
• SearchKnowledgeResponse (message)
• Sentiment (message)
• SentimentAnalysisRequestConfig (message)
• SentimentAnalysisResult (message)
• SessionEntityType (message)
• SessionEntityType.EntityOverrideMode (enum)
• SetAgentRequest (message)
• SetSuggestionFeatureConfigOperationMetadata (message)
• SetSuggestionFeatureConfigRequest (message)
• SmartReplyAnswer (message)
• SmartReplyMetrics (message)
• SmartReplyMetrics.TopNMetrics (message)
• SmartReplyModelMetadata (message)
• SpeechContext (message)
• SpeechModelVariant (enum)
• SpeechToTextConfig (message)
• SpeechWordInfo (message)
• SsmlVoiceGender (enum)
• StreamingAnalyzeContentRequest (message)
• StreamingAnalyzeContentResponse (message)
• StreamingDetectIntentRequest (message)
• StreamingDetectIntentResponse (message)
• StreamingRecognitionResult (message)
• StreamingRecognitionResult.MessageType (enum)
• SuggestArticlesRequest (message)
• SuggestArticlesResponse (message)
• SuggestConversationSummaryRequest (message)
• SuggestConversationSummaryResponse (message)
• SuggestConversationSummaryResponse.Summary (message)
• SuggestFaqAnswersRequest (message)
• SuggestFaqAnswersResponse (message)
• SuggestKnowledgeAssistRequest (message)
• SuggestKnowledgeAssistResponse (message)
• SuggestSmartRepliesRequest (message)
• SuggestSmartRepliesResponse (message)
• SuggestionFeature (message)
• SuggestionFeature.Type (enum)
• SuggestionInput (message)
• SuggestionResult (message)
• SummarizationContext (message)
• SummarizationSection (message)
• SummarizationSection.Type (enum)
• SummarizationSectionList (message)
• SummarySuggestion (message)
• SummarySuggestion.SummarySection (message)
• SynthesizeSpeechConfig (message)
• TelephonyDtmf (enum)
• TelephonyDtmfEvents (message)
• TextInput (message)
• TextToSpeechSettings (message)
• TrainAgentRequest (message)
• TriggerEvent (enum)
• UndeployConversationModelOperationMetadata (message)
• UndeployConversationModelRequest (message)
• UpdateAnswerRecordRequest (message)
• UpdateContextRequest (message)
• UpdateConversationProfileRequest (message)
• UpdateDocumentRequest (message)
• UpdateEntityTypeRequest (message)
• UpdateEnvironmentRequest (message)
• UpdateFulfillmentRequest (message)
• UpdateGeneratorRequest (message)
• UpdateIntentRequest (message)
• UpdateKnowledgeBaseRequest (message)
• UpdateParticipantRequest (message)
• UpdateSessionEntityTypeRequest (message)
• UpdateVersionRequest (message)
• ValidationError (message)
• ValidationError.Severity (enum)
• ValidationResult (message)
• Version (message)
• Version.VersionStatus (enum)
• VoiceSelectionParams (message)
• WebhookRequest (message)
• WebhookResponse (message)

Agents

Service for managing Agents.

DeleteAgent
rpc DeleteAgent(DeleteAgentRequest) returns (Empty) Deletes the specified agent. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ExportAgent

rpc ExportAgent(ExportAgentRequest) returns (Operation) Exports the specified agent to a ZIP file. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: ExportAgentResponse Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetAgent
rpc GetAgent(GetAgentRequest) returns (Agent) Retrieves the specified agent. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetValidationResult

rpc GetValidationResult(GetValidationResultRequest) returns (ValidationResult) Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ImportAgent

rpc ImportAgent(ImportAgentRequest) returns (Operation) Imports the specified agent from a ZIP file. Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from ImportAgentRequest. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: An Empty message The operation only tracks when importing is complete, not when it is done training. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

RestoreAgent

rpc RestoreAgent(RestoreAgentRequest) returns (Operation) Restores the specified agent from a ZIP file. Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: An Empty message The operation only tracks when restoring is complete, not when it is done training. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SearchAgents

rpc SearchAgents(SearchAgentsRequest) returns (SearchAgentsResponse) Returns the list of agents. Since there is at most one conversational agent per project, this method is useful primarily for listing all agents across projects the caller has access to. One can achieve that with a wildcard project collection id "-". Refer to List Sub-Collections. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SetAgent
rpc SetAgent(SetAgentRequest) returns (Agent) Creates/updates the specified agent. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

TrainAgent

rpc TrainAgent(TrainAgentRequest) returns (Operation) Trains the specified agent. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: An Empty message Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

AnswerRecords

Service for managing AnswerRecords.

ListAnswerRecords
rpc ListAnswerRecords(ListAnswerRecordsRequest) returns (ListAnswerRecordsResponse) Returns the list of all answer records in the specified project in reverse chronological order. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateAnswerRecord
rpc UpdateAnswerRecord(UpdateAnswerRecordRequest) returns (AnswerRecord) Updates the specified answer record. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Contexts

Service for managing Contexts.

CreateContext
rpc CreateContext(CreateContextRequest) returns (Context) Creates a context. If the specified context already exists, overrides the context. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteAllContexts
rpc DeleteAllContexts(DeleteAllContextsRequest) returns (Empty) Deletes all active contexts in the specified session. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteContext
rpc DeleteContext(DeleteContextRequest) returns (Empty) Deletes the specified context. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetContext
rpc GetContext(GetContextRequest) returns (Context) Retrieves the specified context. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListContexts
rpc ListContexts(ListContextsRequest) returns (ListContextsResponse) Returns the list of all contexts in the specified session. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateContext
rpc UpdateContext(UpdateContextRequest) returns (Context) Updates the specified context. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ConversationDatasets

Conversation datasets.

Conversation datasets contain raw conversation files and their customizable metadata that can be used for model training.

CreateConversationDataset

rpc CreateConversationDataset(CreateConversationDatasetRequest) returns (Operation) Creates a new conversation dataset. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: CreateConversationDatasetOperationMetadata response: ConversationDataset Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteConversationDataset

rpc DeleteConversationDataset(DeleteConversationDatasetRequest) returns (Operation) Deletes the specified conversation dataset. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: DeleteConversationDatasetOperationMetadata response: An Empty message Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetConversationDataset
rpc GetConversationDataset(GetConversationDatasetRequest) returns (ConversationDataset) Retrieves the specified conversation dataset. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ImportConversationData

rpc ImportConversationData(ImportConversationDataRequest) returns (Operation) Import data into the specified conversation dataset. Note that it is not allowed to import data to a conversation dataset that already has data in it. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: ImportConversationDataOperationMetadata response: ImportConversationDataOperationResponse Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListConversationDatasets
rpc ListConversationDatasets(ListConversationDatasetsRequest) returns (ListConversationDatasetsResponse) Returns the list of all conversation datasets in the specified project and location. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ConversationModels

Manages a collection of models for human agent assistant.

CreateConversationModel

rpc CreateConversationModel(CreateConversationModelRequest) returns (Operation) Creates a model. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: CreateConversationModelOperationMetadata response: ConversationModel Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

CreateConversationModelEvaluation
rpc CreateConversationModelEvaluation(CreateConversationModelEvaluationRequest) returns (Operation) Creates evaluation of a conversation model. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteConversationModel

rpc DeleteConversationModel(DeleteConversationModelRequest) returns (Operation) Deletes a model. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: DeleteConversationModelOperationMetadata response: An Empty message Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeployConversationModel

rpc DeployConversationModel(DeployConversationModelRequest) returns (Operation) Deploys a model. If a model is already deployed, deploying it has no effect. A model can only serve prediction requests after it gets deployed. For article suggestion, custom model will not be used unless it is deployed. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: DeployConversationModelOperationMetadata response: An Empty message Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetConversationModel
rpc GetConversationModel(GetConversationModelRequest) returns (ConversationModel) Gets conversation model. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetConversationModelEvaluation
rpc GetConversationModelEvaluation(GetConversationModelEvaluationRequest) returns (ConversationModelEvaluation) Gets an evaluation of conversation model. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListConversationModelEvaluations
rpc ListConversationModelEvaluations(ListConversationModelEvaluationsRequest) returns (ListConversationModelEvaluationsResponse) Lists evaluations of a conversation model. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListConversationModels
rpc ListConversationModels(ListConversationModelsRequest) returns (ListConversationModelsResponse) Lists conversation models. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UndeployConversationModel

rpc UndeployConversationModel(UndeployConversationModelRequest) returns (Operation) Undeploys a model. If the model is not deployed this method has no effect. If the model is currently being used: - For article suggestion, article suggestion will fallback to the default model if model is undeployed. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: UndeployConversationModelOperationMetadata response: An Empty message Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ConversationProfiles

Service for managing ConversationProfiles.

ClearSuggestionFeatureConfig

rpc ClearSuggestionFeatureConfig(ClearSuggestionFeatureConfigRequest) returns (Operation) Clears a suggestion feature from a conversation profile for the given participant role. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: ClearSuggestionFeatureConfigOperationMetadata response: ConversationProfile Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

CreateConversationProfile

rpc CreateConversationProfile(CreateConversationProfileRequest) returns (ConversationProfile) Creates a conversation profile in the specified project. ConversationProfile.create_time and ConversationProfile.update_time aren't populated in the response. You can retrieve them via GetConversationProfile API. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteConversationProfile
rpc DeleteConversationProfile(DeleteConversationProfileRequest) returns (Empty) Deletes the specified conversation profile. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetConversationProfile
rpc GetConversationProfile(GetConversationProfileRequest) returns (ConversationProfile) Retrieves the specified conversation profile. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListConversationProfiles
rpc ListConversationProfiles(ListConversationProfilesRequest) returns (ListConversationProfilesResponse) Returns the list of all conversation profiles in the specified project. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SetSuggestionFeatureConfig

rpc SetSuggestionFeatureConfig(SetSuggestionFeatureConfigRequest) returns (Operation) Adds or updates a suggestion feature in a conversation profile. If the conversation profile contains the type of suggestion feature for the participant role, it will update it. Otherwise it will insert the suggestion feature. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: SetSuggestionFeatureConfigOperationMetadata response: ConversationProfile If a long running operation to add or update suggestion feature config for the same conversation profile, participant role and suggestion feature type exists, please cancel the existing long running operation before sending such request, otherwise the request will be rejected. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateConversationProfile

rpc UpdateConversationProfile(UpdateConversationProfileRequest) returns (ConversationProfile) Updates the specified conversation profile. ConversationProfile.create_time and ConversationProfile.update_time aren't populated in the response. You can retrieve them via GetConversationProfile API. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Conversations

Service for managing Conversations.

CompleteConversation
rpc CompleteConversation(CompleteConversationRequest) returns (Conversation) Completes the specified conversation. Finished conversations are purged from the database after 30 days. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

CreateConversation

rpc CreateConversation(CreateConversationRequest) returns (Conversation) Creates a new conversation. Conversations are auto-completed after 24 hours. Conversation Lifecycle: There are two stages during a conversation: Automated Agent Stage and Assist Stage. For Automated Agent Stage, there will be a dialogflow agent responding to user queries. For Assist Stage, there's no dialogflow agent responding to user queries. But we will provide suggestions which are generated from conversation. If Conversation.conversation_profile is configured for a dialogflow agent, conversation will start from Automated Agent Stage, otherwise, it will start from Assist Stage. And during Automated Agent Stage, once an Intent with Intent.live_agent_handoff is triggered, conversation will transfer to Assist Stage. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GenerateStatelessSuggestion

rpc GenerateStatelessSuggestion(GenerateStatelessSuggestionRequest) returns (GenerateStatelessSuggestionResponse) Generates and returns a suggestion for a conversation that does not have a resource created for it. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GenerateStatelessSummary

rpc GenerateStatelessSummary(GenerateStatelessSummaryRequest) returns (GenerateStatelessSummaryResponse) Generates and returns a summary for a conversation that does not have a resource created for it. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetConversation
rpc GetConversation(GetConversationRequest) returns (Conversation) Retrieves the specific conversation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListConversations
rpc ListConversations(ListConversationsRequest) returns (ListConversationsResponse) Returns the list of all conversations in the specified project. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListMessages

rpc ListMessages(ListMessagesRequest) returns (ListMessagesResponse) Lists messages that belong to a given conversation. messages are ordered by create_time in descending order. To fetch updates without duplication, send request with filter create_time_epoch_microseconds > [first item's create_time of previous request] and empty page_token. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SearchKnowledge
rpc SearchKnowledge(SearchKnowledgeRequest) returns (SearchKnowledgeResponse) Get answers for the given query based on knowledge documents. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SuggestConversationSummary

rpc SuggestConversationSummary(SuggestConversationSummaryRequest) returns (SuggestConversationSummaryResponse) Suggests summary for a conversation based on specific historical messages. The range of the messages to be used for summary can be specified in the request. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Documents

Service for managing knowledge Documents.

CreateDocument

rpc CreateDocument(CreateDocumentRequest) returns (Operation) Creates a new document. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: KnowledgeOperationMetadata response: Document Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteDocument

rpc DeleteDocument(DeleteDocumentRequest) returns (Operation) Deletes the specified document. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: KnowledgeOperationMetadata response: An Empty message Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ExportDocument

rpc ExportDocument(ExportDocumentRequest) returns (Operation) Exports a smart messaging candidate document into the specified destination. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: KnowledgeOperationMetadata response: Document Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetDocument
rpc GetDocument(GetDocumentRequest) returns (Document) Retrieves the specified document. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ImportDocuments

rpc ImportDocuments(ImportDocumentsRequest) returns (Operation) Creates documents by importing data from external sources. Dialogflow supports up to 350 documents in each request. If you try to import more, Dialogflow will return an error. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: KnowledgeOperationMetadata response: ImportDocumentsResponse Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListDocuments
rpc ListDocuments(ListDocumentsRequest) returns (ListDocumentsResponse) Returns the list of all documents of the knowledge base. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ReloadDocument

rpc ReloadDocument(ReloadDocumentRequest) returns (Operation) Reloads the specified document from its specified source, content_uri or content. The previously loaded content of the document will be deleted. Note: Even when the content of the document has not changed, there still may be side effects because of internal implementation changes. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: KnowledgeOperationMetadata response: Document Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateDocument

rpc UpdateDocument(UpdateDocumentRequest) returns (Operation) Updates the specified document. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: KnowledgeOperationMetadata response: Document Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

EncryptionSpecService

Manages encryption spec settings for Dialogflow and Agent Assist.

GetEncryptionSpec
rpc GetEncryptionSpec(GetEncryptionSpecRequest) returns (EncryptionSpec) Gets location-level encryption key specification. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

InitializeEncryptionSpec

rpc InitializeEncryptionSpec(InitializeEncryptionSpecRequest) returns (Operation) Initializes a location-level encryption key specification. An error will be thrown if the location has resources already created before the initialization. Once the encryption specification is initialized at a location, it is immutable and all newly created resources under the location will be encrypted with the existing specification. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

EntityTypes

Service for managing EntityTypes.

BatchCreateEntities

rpc BatchCreateEntities(BatchCreateEntitiesRequest) returns (Operation) Creates multiple new entities in the specified entity type. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: An Empty message Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

BatchDeleteEntities

rpc BatchDeleteEntities(BatchDeleteEntitiesRequest) returns (Operation) Deletes entities in the specified entity type. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: An Empty message Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

BatchDeleteEntityTypes

rpc BatchDeleteEntityTypes(BatchDeleteEntityTypesRequest) returns (Operation) Deletes entity types in the specified agent. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: An Empty message Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

BatchUpdateEntities

rpc BatchUpdateEntities(BatchUpdateEntitiesRequest) returns (Operation) Updates or creates multiple entities in the specified entity type. This method does not affect entities in the entity type that aren't explicitly specified in the request. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: An Empty message Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

BatchUpdateEntityTypes

rpc BatchUpdateEntityTypes(BatchUpdateEntityTypesRequest) returns (Operation) Updates/Creates multiple entity types in the specified agent. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: BatchUpdateEntityTypesResponse Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

CreateEntityType

rpc CreateEntityType(CreateEntityTypeRequest) returns (EntityType) Creates an entity type in the specified agent. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteEntityType

rpc DeleteEntityType(DeleteEntityTypeRequest) returns (Empty) Deletes the specified entity type. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetEntityType
rpc GetEntityType(GetEntityTypeRequest) returns (EntityType) Retrieves the specified entity type. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListEntityTypes
rpc ListEntityTypes(ListEntityTypesRequest) returns (ListEntityTypesResponse) Returns the list of all entity types in the specified agent. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateEntityType

rpc UpdateEntityType(UpdateEntityTypeRequest) returns (EntityType) Updates the specified entity type. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Environments

Service for managing Environments.

CreateEnvironment
rpc CreateEnvironment(CreateEnvironmentRequest) returns (Environment) Creates an agent environment. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteEnvironment
rpc DeleteEnvironment(DeleteEnvironmentRequest) returns (Empty) Deletes the specified agent environment. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetEnvironment
rpc GetEnvironment(GetEnvironmentRequest) returns (Environment) Retrieves the specified agent environment. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetEnvironmentHistory
rpc GetEnvironmentHistory(GetEnvironmentHistoryRequest) returns (EnvironmentHistory) Gets the history of the specified environment. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListEnvironments
rpc ListEnvironments(ListEnvironmentsRequest) returns (ListEnvironmentsResponse) Returns the list of all non-default environments of the specified agent. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateEnvironment

rpc UpdateEnvironment(UpdateEnvironmentRequest) returns (Environment) Updates the specified agent environment. This method allows you to deploy new agent versions into the environment. When an environment is pointed to a new agent version by setting environment.agent_version, the environment is temporarily set to the LOADING state. During that time, the environment continues serving the previous version of the agent. After the new agent version is done loading, the environment is set back to the RUNNING state. You can use "-" as Environment ID in environment name to update an agent version in the default environment. WARNING: this will negate all recent changes to the draft agent and can't be undone. You may want to save the draft agent to a version before calling this method. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Fulfillments

Service for managing Fulfillments.

GetFulfillment
rpc GetFulfillment(GetFulfillmentRequest) returns (Fulfillment) Retrieves the fulfillment. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateFulfillment
rpc UpdateFulfillment(UpdateFulfillmentRequest) returns (Fulfillment) Updates the fulfillment. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Generators

Generator Service for LLM powered Agent Assist. This service manages the configurations of user owned Generators, such as description, context and instruction, input/output format, etc. The generator resources will be used inside a conversation and will be triggered by TriggerEvent to query LLM for answers.

CreateGenerator
rpc CreateGenerator(CreateGeneratorRequest) returns (Generator) Creates a generator. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteGenerator
rpc DeleteGenerator(DeleteGeneratorRequest) returns (Empty) Deletes a generator. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetGenerator
rpc GetGenerator(GetGeneratorRequest) returns (Generator) Retrieves a generator. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListGenerators
rpc ListGenerators(ListGeneratorsRequest) returns (ListGeneratorsResponse) Lists generators. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateGenerator
rpc UpdateGenerator(UpdateGeneratorRequest) returns (Generator) Updates a generator. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Intents

Service for managing Intents.

BatchDeleteIntents

rpc BatchDeleteIntents(BatchDeleteIntentsRequest) returns (Operation) Deletes intents in the specified agent. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: An Empty message Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

BatchUpdateIntents

rpc BatchUpdateIntents(BatchUpdateIntentsRequest) returns (Operation) Updates/Creates multiple intents in the specified agent. This method is a long-running operation. The returned Operation type has the following method-specific fields: metadata: An empty Struct message response: BatchUpdateIntentsResponse Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

CreateIntent

rpc CreateIntent(CreateIntentRequest) returns (Intent) Creates an intent in the specified agent. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteIntent

rpc DeleteIntent(DeleteIntentRequest) returns (Empty) Deletes the specified intent and its direct or indirect followup intents. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetIntent
rpc GetIntent(GetIntentRequest) returns (Intent) Retrieves the specified intent. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListIntents
rpc ListIntents(ListIntentsRequest) returns (ListIntentsResponse) Returns the list of all intents in the specified agent. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateIntent
rpc UpdateIntent(UpdateIntentRequest) returns (Intent) Updates the specified intent. Note: You should always train an agent prior to sending it queries. See the training documentation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

KnowledgeBases

Service for managing KnowledgeBases.

CreateKnowledgeBase
rpc CreateKnowledgeBase(CreateKnowledgeBaseRequest) returns (KnowledgeBase) Creates a knowledge base. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteKnowledgeBase
rpc DeleteKnowledgeBase(DeleteKnowledgeBaseRequest) returns (Empty) Deletes the specified knowledge base. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetKnowledgeBase
rpc GetKnowledgeBase(GetKnowledgeBaseRequest) returns (KnowledgeBase) Retrieves the specified knowledge base. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListKnowledgeBases
rpc ListKnowledgeBases(ListKnowledgeBasesRequest) returns (ListKnowledgeBasesResponse) Returns the list of all knowledge bases of the specified agent. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateKnowledgeBase
rpc UpdateKnowledgeBase(UpdateKnowledgeBaseRequest) returns (KnowledgeBase) Updates the specified knowledge base. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Participants

Service for managing Participants.

AnalyzeContent

rpc AnalyzeContent(AnalyzeContentRequest) returns (AnalyzeContentResponse) Adds a text (chat, for example), or audio (phone recording, for example) message from a participant into the conversation. Note: Always use agent versions for production traffic sent to virtual agents. See Versions and environments. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

CreateParticipant
rpc CreateParticipant(CreateParticipantRequest) returns (Participant) Creates a new participant in a conversation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetParticipant
rpc GetParticipant(GetParticipantRequest) returns (Participant) Retrieves a conversation participant. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListParticipants
rpc ListParticipants(ListParticipantsRequest) returns (ListParticipantsResponse) Returns the list of all participants in the specified conversation. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

StreamingAnalyzeContent

rpc StreamingAnalyzeContent(StreamingAnalyzeContentRequest) returns (StreamingAnalyzeContentResponse) Adds a text (chat, for example), or audio (phone recording, for example) message from a participant into the conversation. Note: This method is only available through the gRPC API (not REST). The top-level message sent to the client by the server is StreamingAnalyzeContentResponse. Multiple response messages can be returned in order. The first one or more messages contain the recognition_result field. Each result represents a more complete transcript of what the user said. The next message contains the reply_text field and potentially the reply_audio field. The message can also contain the automated_agent_reply field. Note: Always use agent versions for production traffic sent to virtual agents. See Versions and environments. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SuggestArticles
rpc SuggestArticles(SuggestArticlesRequest) returns (SuggestArticlesResponse) Gets suggested articles for a participant based on specific historical messages. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SuggestFaqAnswers
rpc SuggestFaqAnswers(SuggestFaqAnswersRequest) returns (SuggestFaqAnswersResponse) Gets suggested faq answers for a participant based on specific historical messages. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SuggestKnowledgeAssist
rpc SuggestKnowledgeAssist(SuggestKnowledgeAssistRequest) returns (SuggestKnowledgeAssistResponse) Gets knowledge assist suggestions based on historical messages. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SuggestSmartReplies
rpc SuggestSmartReplies(SuggestSmartRepliesRequest) returns (SuggestSmartRepliesResponse) Gets smart replies for a participant based on specific historical messages. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateParticipant
rpc UpdateParticipant(UpdateParticipantRequest) returns (Participant) Updates the specified participant. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

SessionEntityTypes

Service for managing SessionEntityTypes.

CreateSessionEntityType

rpc CreateSessionEntityType(CreateSessionEntityTypeRequest) returns (SessionEntityType) Creates a session entity type. If the specified session entity type already exists, overrides the session entity type. This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteSessionEntityType

rpc DeleteSessionEntityType(DeleteSessionEntityTypeRequest) returns (Empty) Deletes the specified session entity type. This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetSessionEntityType

rpc GetSessionEntityType(GetSessionEntityTypeRequest) returns (SessionEntityType) Retrieves the specified session entity type. This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListSessionEntityTypes

rpc ListSessionEntityTypes(ListSessionEntityTypesRequest) returns (ListSessionEntityTypesResponse) Returns the list of all session entity types in the specified session. This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateSessionEntityType

rpc UpdateSessionEntityType(UpdateSessionEntityTypeRequest) returns (SessionEntityType) Updates the specified session entity type. This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Sessions

A service used for session interactions.

For more information, see the API interactions guide.

DetectIntent

rpc DetectIntent(DetectIntentRequest) returns (DetectIntentResponse) Processes a natural language query and returns structured, actionable data as a result. This method is not idempotent, because it may cause contexts and session entity types to be updated, which in turn might affect results of future queries. If you might use Agent Assist or other CCAI products now or in the future, consider using AnalyzeContent instead of DetectIntent. AnalyzeContent has additional functionality for Agent Assist and other CCAI products. Note: Always use agent versions for production traffic. See Versions and environments. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

StreamingDetectIntent

rpc StreamingDetectIntent(StreamingDetectIntentRequest) returns (StreamingDetectIntentResponse) Processes a natural language query in audio format in a streaming fashion and returns structured, actionable data as a result. This method is only available via the gRPC API (not REST). If you might use Agent Assist or other CCAI products now or in the future, consider using StreamingAnalyzeContent instead of StreamingDetectIntent. StreamingAnalyzeContent has additional functionality for Agent Assist and other CCAI products. Note: Always use agent versions for production traffic. See Versions and environments. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Versions

Service for managing Versions.

CreateVersion
rpc CreateVersion(CreateVersionRequest) returns (Version) Creates an agent version. The new version points to the agent instance in the "default" environment. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

DeleteVersion
rpc DeleteVersion(DeleteVersionRequest) returns (Empty) Delete the specified agent version. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

GetVersion
rpc GetVersion(GetVersionRequest) returns (Version) Retrieves the specified agent version. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

ListVersions
rpc ListVersions(ListVersionsRequest) returns (ListVersionsResponse) Returns the list of all versions of the specified agent. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

UpdateVersion

rpc UpdateVersion(UpdateVersionRequest) returns (Version) Updates the specified agent version. Note that this method does not allow you to update the state of the agent the given version points to. It allows you to update only mutable properties of the version resource. Authorization scopes Requires one of the following OAuth scopes: https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/dialogflow For more information, see the Authentication Overview.

Agent

A Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system.

For more information about agents, see the Agent guide.

Fields
parent	string Required. The project of this agent. Format: projects/<Project ID>.
display_name	string Required. The name of this agent.
default_language_code	string Required. The default language of the agent as a language tag. See Language Support for a list of the currently supported language codes. This field cannot be set by the Update method.
supported_language_codes[]	string Optional. The list of all languages supported by this agent (except for the default_language_code).
time_zone	string Required. The time zone of this agent from the time zone database, e.g., America/New_York, Europe/Paris.
description	string Optional. The description of this agent. The maximum length is 500 characters. If exceeded, the request is rejected.
avatar_uri	string Optional. The URI of the agent's avatar. Avatars are used throughout the Dialogflow console and in the self-hosted Web Demo integration.
enable_logging	bool Optional. Determines whether this agent should log conversation queries.
match_mode (deprecated)	MatchMode This item is deprecated! Optional. Determines how intents are detected from user queries.
classification_threshold	float Optional. To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a fallback intent will be triggered or, if there are no fallback intents defined, no intent will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used.
api_version	ApiVersion Optional. API version displayed in Dialogflow console. If not specified, V2 API is assumed. Clients are free to query different service endpoints for different API versions. However, bots connectors and webhook calls will follow the specified API version.
tier	Tier Optional. The agent tier. If not specified, TIER_STANDARD is assumed.

ApiVersion

API version for the agent.

Enums
API_VERSION_UNSPECIFIED	Not specified.
API_VERSION_V1	Legacy V1 API.
API_VERSION_V2	V2 API.
API_VERSION_V2_BETA_1	V2beta1 API.

MatchMode

Match mode determines how intents are detected from user queries.

Enums
MATCH_MODE_UNSPECIFIED	Not specified.
MATCH_MODE_HYBRID	Best for agents with a small number of examples in intents and/or wide use of templates syntax and composite entities.
MATCH_MODE_ML_ONLY	Can be used for agents with a large number of examples in intents, especially the ones using @sys.any or very large custom entities.

Tier

Represents the agent tier.

Enums
TIER_UNSPECIFIED	Not specified. This value should never be used.
TIER_STANDARD	Trial Edition, previously known as Standard Edition.
TIER_ENTERPRISE	Essentials Edition, previously known as Enterprise Essential Edition.
TIER_ENTERPRISE_PLUS	Essentials Edition (same as TIER_ENTERPRISE), previously known as Enterprise Plus Edition. This item is deprecated!

AgentAssistantFeedback

Detail feedback of Agent Assist result.

Fields
answer_relevance	AnswerRelevance Optional. Whether or not the suggested answer is relevant. For example: Query: "Can I change my mailing address?" Suggested document says: "Items must be returned/exchanged within 60 days of the purchase date." answer_relevance: AnswerRelevance.IRRELEVANT
document_correctness	DocumentCorrectness Optional. Whether or not the information in the document is correct. For example: Query: "Can I return the package in 2 days once received?" Suggested document says: "Items must be returned/exchanged within 60 days of the purchase date." Ground truth: "No return or exchange is allowed."
document_efficiency	DocumentEfficiency Optional. Whether or not the suggested document is efficient. For example, if the document is poorly written, hard to understand, hard to use or too long to find useful information, document_efficiency is DocumentEfficiency.INEFFICIENT.
summarization_feedback	SummarizationFeedback Optional. Feedback for conversation summarization.
knowledge_search_feedback	KnowledgeSearchFeedback Optional. Feedback for knowledge search.
knowledge_assist_feedback	KnowledgeAssistFeedback Optional. Feedback for knowledge assist.

AnswerRelevance

Relevance of an answer.

Enums
ANSWER_RELEVANCE_UNSPECIFIED	Answer relevance unspecified.
IRRELEVANT	Answer is irrelevant to query.
RELEVANT	Answer is relevant to query.

DocumentCorrectness

Correctness of document.

Enums
DOCUMENT_CORRECTNESS_UNSPECIFIED	Document correctness unspecified.
INCORRECT	Information in document is incorrect.
CORRECT	Information in document is correct.

DocumentEfficiency

Efficiency of document.

Enums
DOCUMENT_EFFICIENCY_UNSPECIFIED	Document efficiency unspecified.
INEFFICIENT	Document is inefficient.
EFFICIENT	Document is efficient.

KnowledgeAssistFeedback

Feedback for knowledge assist.

Fields
answer_copied	bool Whether the suggested answer was copied by the human agent. If the value is set to be true, AnswerFeedback.clicked will be updated to be true.
clicked_uris[]	string The URIs clicked by the human agent. The value is appended for each UpdateAnswerRecordRequest. If the value is not empty, AnswerFeedback.clicked will be updated to be true.

KnowledgeSearchFeedback

Feedback for knowledge search.

Fields
answer_copied	bool Whether the answer was copied by the human agent or not. If the value is set to be true, AnswerFeedback.clicked will be updated to be true.
clicked_uris[]	string The URIs clicked by the human agent. The value is appended for each UpdateAnswerRecordRequest. If the value is not empty, AnswerFeedback.clicked will be updated to be true.

SummarizationFeedback

Feedback for conversation summarization.

Fields
start_time	Timestamp Timestamp when composing of the summary starts.
submit_time	Timestamp Timestamp when the summary was submitted.
summary_text	string Text of actual submitted summary.
text_sections	map<string, string> Optional. Actual text sections of submitted summary.

AgentAssistantRecord

Represents a record of a human agent assist answer.

Fields
Union field answer. Output only. The agent assist answer. answer can be only one of the following:
article_suggestion_answer	ArticleAnswer Output only. The article suggestion answer.
faq_answer	FaqAnswer Output only. The FAQ answer.
dialogflow_assist_answer	DialogflowAssistAnswer Output only. Dialogflow assist answer.

AnalyzeContentRequest

The request message for Participants.AnalyzeContent.

Fields
participant	string Required. The name of the participant this text comes from. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>. Authorization requires the following IAM permission on the specified resource participant: dialogflow.participants.analyzeContent
reply_audio_config	OutputAudioConfig Speech synthesis configuration. The speech synthesis settings for a virtual agent that may be configured for the associated conversation profile are not used when calling AnalyzeContent. If this configuration is not supplied, speech synthesis is disabled.
query_params	QueryParameters Parameters for a Dialogflow virtual-agent query.
assist_query_params	AssistQueryParameters Parameters for a human assist query.
cx_parameters	Struct Additional parameters to be put into Dialogflow CX session parameters. To remove a parameter from the session, clients should explicitly set the parameter value to null. Note: this field should only be used if you are connecting to a Dialogflow CX agent.
request_id	string A unique identifier for this request. Restricted to 36 ASCII characters. A random UUID is recommended. This request is only idempotent if a request_id is provided.
Union field input. Required. The input content. input can be only one of the following:
text_input	TextInput The natural language text to be processed.
event_input	EventInput An input event to send to Dialogflow.
suggestion_input	SuggestionInput An input representing the selection of a suggestion.

AnalyzeContentResponse

The response message for Participants.AnalyzeContent.

Fields
reply_text	string The output text content. This field is set if the automated agent responded with text to show to the user.
reply_audio	OutputAudio The audio data bytes encoded as specified in the request. This field is set if: reply_audio_config was specified in the request, or The automated agent responded with audio to play to the user. In such case, reply_audio.config contains settings used to synthesize the speech. In some scenarios, multiple output audio fields may be present in the response structure. In these cases, only the top-most-level audio output has content.
automated_agent_reply	AutomatedAgentReply Only set if a Dialogflow automated agent has responded. Note that in [AutomatedAgentReply.DetectIntentResponse][], [Sessions.DetectIntentResponse.output_audio][] and [Sessions.DetectIntentResponse.output_audio_config][] are always empty, use reply_audio instead.
message	Message Message analyzed by CCAI.
human_agent_suggestion_results[]	SuggestionResult The suggestions for most recent human agent. The order is the same as HumanAgentAssistantConfig.SuggestionConfig.feature_configs of HumanAgentAssistantConfig.human_agent_suggestion_config. Note that any failure of Agent Assist features will not lead to the overall failure of an AnalyzeContent API call. Instead, the features will fail silently with the error field set in the corresponding SuggestionResult.
end_user_suggestion_results[]	SuggestionResult The suggestions for end user. The order is the same as HumanAgentAssistantConfig.SuggestionConfig.feature_configs of HumanAgentAssistantConfig.end_user_suggestion_config. Same as human_agent_suggestion_results, any failure of Agent Assist features will not lead to the overall failure of an AnalyzeContent API call. Instead, the features will fail silently with the error field set in the corresponding SuggestionResult.
dtmf_parameters	DtmfParameters Indicates the parameters of DTMF.

AnnotatedMessagePart

Represents a part of a message possibly annotated with an entity. The part can be an entity or purely a part of the message between two entities or message start/end.

Fields
text	string A part of a message possibly annotated with an entity.
entity_type	string The Dialogflow system entity type of this message part. If this is empty, Dialogflow could not annotate the phrase part with a system entity.
formatted_value	Value The Dialogflow system entity formatted value of this message part. For example for a system entity of type @sys.unit-currency, this may contain: { "amount": 5, "currency": "USD" }

AnswerFeedback

Represents feedback the customer has about the quality & correctness of a certain answer in a conversation.

Fields
correctness_level	CorrectnessLevel The correctness level of the specific answer.
clicked	bool Indicates whether the answer/item was clicked by the human agent or not. Default to false. For knowledge search and knowledge assist, the answer record is considered to be clicked if the answer was copied or any URI was clicked.
click_time	Timestamp Time when the answer/item was clicked.
displayed	bool Indicates whether the answer/item was displayed to the human agent in the agent desktop UI. Default to false.
display_time	Timestamp Time when the answer/item was displayed.
Union field detail_feedback. Normally, detail feedback is provided when answer is not fully correct. detail_feedback can be only one of the following:
agent_assistant_detail_feedback	AgentAssistantFeedback Detail feedback of agent assist suggestions.

CorrectnessLevel

The correctness level of an answer.

Enums
CORRECTNESS_LEVEL_UNSPECIFIED	Correctness level unspecified.
NOT_CORRECT	Answer is totally wrong.
PARTIALLY_CORRECT	Answer is partially correct.
FULLY_CORRECT	Answer is fully correct.

AnswerRecord

Answer records are records to manage answer history and feedbacks for Dialogflow.

Currently, answer record includes:

• human agent assistant article suggestion
• human agent assistant faq article

It doesn't include:

• DetectIntent intent matching
• DetectIntent knowledge

Answer records are not related to the conversation history in the Dialogflow Console. A Record is generated even when the end-user disables conversation history in the console. Records are created when there's a human agent assistant suggestion generated.

A typical workflow for customers provide feedback to an answer is:

1. For human agent assistant, customers get suggestion via ListSuggestions API. Together with the answers, AnswerRecord.name are returned to the customers.
2. The customer uses the AnswerRecord.name to call the AnswerRecords.UpdateAnswerRecord method to send feedback about a specific answer that they believe is wrong.

Fields
name	string The unique identifier of this answer record. Format: projects/<Project ID>/locations/<Location ID>/answerRecords/<Answer Record ID>.
answer_feedback	AnswerFeedback Required. The AnswerFeedback for this record. You can set this with AnswerRecords.UpdateAnswerRecord in order to give us feedback about this answer.
Union field record. The record for this answer. record can be only one of the following:
agent_assistant_record	AgentAssistantRecord Output only. The record for human agent assistant.

ArticleAnswer

Represents article answer.

Fields
title	string The article title.
uri	string The article URI.
snippets[]	string Article snippets.
confidence	float Article match confidence. The system's confidence score that this article is a good match for this conversation, as a value from 0.0 (completely uncertain) to 1.0 (completely certain).
metadata	map<string, string> A map that contains metadata about the answer and the document from which it originates.
answer_record	string The name of answer record, in the format of "projects//locations//answerRecords/"

ArticleSuggestionModelMetadata

Metadata for article suggestion models.

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

AssistQueryParameters

Represents the parameters of human assist query.

Fields

documents_metadata_filters

map<string, string> Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }

AudioEncoding

Audio encoding of the audio content sent in the conversational query request. Refer to the Cloud Speech API documentation for more details.

Enums
AUDIO_ENCODING_UNSPECIFIED	Not specified.
AUDIO_ENCODING_LINEAR_16	Uncompressed 16-bit signed little-endian samples (Linear PCM).
AUDIO_ENCODING_FLAC	FLAC (Free Lossless Audio Codec) is the recommended encoding because it is lossless (therefore recognition is not compromised) and requires only about half the bandwidth of LINEAR16. FLAC stream encoding supports 16-bit and 24-bit samples, however, not all fields in STREAMINFO are supported.
AUDIO_ENCODING_MULAW	8-bit samples that compand 14-bit audio samples using G.711 PCMU/mu-law.
AUDIO_ENCODING_AMR	Adaptive Multi-Rate Narrowband codec. sample_rate_hertz must be 8000.
AUDIO_ENCODING_AMR_WB	Adaptive Multi-Rate Wideband codec. sample_rate_hertz must be 16000.
AUDIO_ENCODING_OGG_OPUS	Opus encoded audio frames in Ogg container (OggOpus). sample_rate_hertz must be 16000.
AUDIO_ENCODING_SPEEX_WITH_HEADER_BYTE	Although the use of lossy encodings is not recommended, if a very low bitrate encoding is required, OGG_OPUS is highly preferred over Speex encoding. The Speex encoding supported by Dialogflow API has a header byte in each block, as in MIME type audio/x-speex-with-header-byte. It is a variant of the RTP Speex encoding defined in RFC 5574. The stream is a sequence of blocks, one block per RTP packet. Each block starts with a byte containing the length of the block, in bytes, followed by one or more frames of Speex data, padded to an integral number of bytes (octets) as specified in RFC 5574. In other words, each RTP header is replaced with a single byte containing the block length. Only Speex wideband is supported. sample_rate_hertz must be 16000.
AUDIO_ENCODING_ALAW	8-bit samples that compand 13-bit audio samples using G.711 PCMU/a-law.

AutomatedAgentConfig

Defines the Automated Agent to connect to a conversation.

Fields
agent	string Required. ID of the Dialogflow agent environment to use. This project needs to either be the same project as the conversation or you need to grant service-<Conversation Project Number>@gcp-sa-dialogflow.iam.gserviceaccount.com the Dialogflow API Service Agent role in this project. For ES agents, use format: projects/<Project ID>/locations/<Location ID>/agent/environments/<Environment ID or '-'>. If environment is not specified, the default draft environment is used. Refer to DetectIntentRequest for more details. For CX agents, use format projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/environments/<Environment ID or '-'>. If environment is not specified, the default draft environment is used.
session_ttl	Duration Optional. Configure lifetime of the Dialogflow session. By default, a Dialogflow CX session remains active and its data is stored for 30 minutes after the last request is sent for the session. This value should be no longer than 1 day.

AutomatedAgentReply

Represents a response from an automated agent.

Fields
detect_intent_response	DetectIntentResponse Response of the Dialogflow Sessions.DetectIntent call.
automated_agent_reply_type	AutomatedAgentReplyType AutomatedAgentReply type.
allow_cancellation	bool Indicates whether the partial automated agent reply is interruptible when a later reply message arrives. e.g. if the agent specified some music as partial response, it can be cancelled.
cx_current_page	string The unique identifier of the current Dialogflow CX conversation page. Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>/pages/<Page ID>.

AutomatedAgentReplyType

Represents different automated agent reply types.

Enums
AUTOMATED_AGENT_REPLY_TYPE_UNSPECIFIED	Not specified. This should never happen.
PARTIAL	Partial reply. e.g. Aggregated responses in a Fulfillment that enables return_partial_response can be returned as partial reply. WARNING: partial reply is not eligible for barge-in.
FINAL	Final reply.

BatchCreateEntitiesRequest

The request message for EntityTypes.BatchCreateEntities.

Fields
parent	string Required. The name of the entity type to create entities in. Format: projects/<Project ID>/agent/entityTypes/<Entity Type ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.entityTypes.batchCreateEntities
entities[]	Entity Required. The entities to create.
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.

BatchDeleteEntitiesRequest

The request message for EntityTypes.BatchDeleteEntities.

Fields
parent	string Required. The name of the entity type to delete entries for. Format: projects/<Project ID>/agent/entityTypes/<Entity Type ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.entityTypes.batchDeleteEntities
entity_values[]	string Required. The reference values of the entities to delete. Note that these are not fully-qualified names, i.e. they don't start with projects/<Project ID>.
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.

BatchDeleteEntityTypesRequest

The request message for EntityTypes.BatchDeleteEntityTypes.

Fields
parent	string Required. The name of the agent to delete all entities types for. Format: projects/<Project ID>/agent. Authorization requires the following IAM permission on the specified resource parent: dialogflow.entityTypes.batchDelete
entity_type_names[]	string Required. The names entity types to delete. All names must point to the same agent as parent.

BatchDeleteIntentsRequest

The request message for Intents.BatchDeleteIntents.

Fields
parent	string Required. The name of the agent to delete all entities types for. Format: projects/<Project ID>/agent. Authorization requires the following IAM permission on the specified resource parent: dialogflow.intents.batchDelete
intents[]	Intent Required. The collection of intents to delete. Only intent name must be filled in.

BatchUpdateEntitiesRequest

The request message for EntityTypes.BatchUpdateEntities.

Fields
parent	string Required. The name of the entity type to update or create entities in. Format: projects/<Project ID>/agent/entityTypes/<Entity Type ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.entityTypes.batchUpdateEntities
entities[]	Entity Required. The entities to update or create.
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
update_mask	FieldMask Optional. The mask to control which fields get updated.

BatchUpdateEntityTypesRequest

The request message for EntityTypes.BatchUpdateEntityTypes.

Fields
parent	string Required. The name of the agent to update or create entity types in. Format: projects/<Project ID>/agent. Authorization requires the following IAM permission on the specified resource parent: dialogflow.entityTypes.batchUpdate
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
update_mask	FieldMask Optional. The mask to control which fields get updated.
Union field entity_type_batch. The source of the entity type batch. For each entity type in the batch: If name is specified, we update an existing entity type. If name is not specified, we create a new entity type. entity_type_batch can be only one of the following:
entity_type_batch_uri	string The URI to a Google Cloud Storage file containing entity types to update or create. The file format can either be a serialized proto (of EntityBatch type) or a JSON object. Note: The URI must start with "gs://".
entity_type_batch_inline	EntityTypeBatch The collection of entity types to update or create.

BatchUpdateEntityTypesResponse

The response message for EntityTypes.BatchUpdateEntityTypes.

Fields
entity_types[]	EntityType The collection of updated or created entity types.

BatchUpdateIntentsRequest

Fields
parent	string Required. The name of the agent to update or create intents in. Format: projects/<Project ID>/agent. Authorization requires the following IAM permission on the specified resource parent: dialogflow.intents.batchUpdate
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
update_mask	FieldMask Optional. The mask to control which fields get updated.
intent_view	IntentView Optional. The resource view to apply to the returned intent.
Union field intent_batch. The source of the intent batch. intent_batch can be only one of the following:
intent_batch_uri	string The URI to a Google Cloud Storage file containing intents to update or create. The file format can either be a serialized proto (of IntentBatch type) or JSON object. Note: The URI must start with "gs://".
intent_batch_inline	IntentBatch The collection of intents to update or create.

BatchUpdateIntentsResponse

The response message for Intents.BatchUpdateIntents.

Fields
intents[]	Intent The collection of updated or created intents.

ClearSuggestionFeatureConfigOperationMetadata

Metadata for a ConversationProfiles.ClearSuggestionFeatureConfig operation.

Fields
conversation_profile	string The resource name of the conversation profile. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>
participant_role	Role Required. The participant role to remove the suggestion feature config. Only HUMAN_AGENT or END_USER can be used.
suggestion_feature_type	Type Required. The type of the suggestion feature to remove.
create_time	Timestamp Timestamp whe the request was created. The time is measured on server side.

ClearSuggestionFeatureConfigRequest

The request message for ConversationProfiles.ClearSuggestionFeatureConfig.

Fields
conversation_profile	string Required. The Conversation Profile to add or update the suggestion feature config. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>.
participant_role	Role Required. The participant role to remove the suggestion feature config. Only HUMAN_AGENT or END_USER can be used.
suggestion_feature_type	Type Required. The type of the suggestion feature to remove.

CloudConversationDebuggingInfo

Cloud conversation info for easier debugging. It will get populated in StreamingDetectIntentResponse or StreamingAnalyzeContentResponse when the flag enable_debugging_info is set to true in corresponding requests.

Fields
audio_data_chunks	int32 Number of input audio data chunks in streaming requests.
result_end_time_offset	Duration Time offset of the end of speech utterance relative to the beginning of the first audio chunk.
first_audio_duration	Duration Duration of first audio chunk.
single_utterance	bool Whether client used single utterance mode.
speech_partial_results_end_times[]	Duration Time offsets of the speech partial results relative to the beginning of the stream.
speech_final_results_end_times[]	Duration Time offsets of the speech final results (is_final=true) relative to the beginning of the stream.
partial_responses	int32 Total number of partial responses.
speaker_id_passive_latency_ms_offset	int32 Time offset of Speaker ID stream close time relative to the Speech stream close time in milliseconds. Only meaningful for conversations involving passive verification.
bargein_event_triggered	bool Whether a barge-in event is triggered in this request.
speech_single_utterance	bool Whether speech uses single utterance mode.
dtmf_partial_results_times[]	Duration Time offsets of the DTMF partial results relative to the beginning of the stream.
dtmf_final_results_times[]	Duration Time offsets of the DTMF final results relative to the beginning of the stream.
single_utterance_end_time_offset	Duration Time offset of the end-of-single-utterance signal relative to the beginning of the stream.
no_speech_timeout	Duration No speech timeout settings for the stream.
endpointing_timeout	Duration Speech endpointing timeout settings for the stream.
is_input_text	bool Whether the streaming terminates with an injected text query.
client_half_close_time_offset	Duration Client half close time in terms of input audio duration.
client_half_close_streaming_time_offset	Duration Client half close time in terms of API streaming duration.

CompleteConversationRequest

The request message for Conversations.CompleteConversation.

Fields
name	string Required. Resource identifier of the conversation to close. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.conversations.complete

Context

Dialogflow contexts are similar to natural language context. If a person says to you "they are orange", you need context in order to understand what "they" is referring to. Similarly, for Dialogflow to handle an end-user expression like that, it needs to be provided with context in order to correctly match an intent.

Using contexts, you can control the flow of a conversation. You can configure contexts for an intent by setting input and output contexts, which are identified by string names. When an intent is matched, any configured output contexts for that intent become active. While any contexts are active, Dialogflow is more likely to match intents that are configured with input contexts that correspond to the currently active contexts.

For more information about context, see the Contexts guide.

Fields
name	string Required. The unique identifier of the context. Format: projects/<Project ID>/agent/sessions/<Session ID>/contexts/<Context ID>, or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>/contexts/<Context ID>. The Context ID is always converted to lowercase, may only contain characters in a-zA-Z0-9_-% and may be at most 250 bytes long. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. The following context names are reserved for internal use by Dialogflow. You should not use these contexts or create contexts with these names: __system_counters__ *_id_dialog_context *_dialog_params_size
lifespan_count	int32 Optional. The number of conversational query requests after which the context expires. The default is 0. If set to 0, the context expires immediately. Contexts expire automatically after 20 minutes if there are no matching queries.
parameters	Struct Optional. The collection of parameters associated with this context. Depending on your protocol or client library language, this is a map, associative array, symbol table, dictionary, or JSON object composed of a collection of (MapKey, MapValue) pairs: MapKey type: string MapKey value: parameter name MapValue type: If parameter's entity type is a composite entity then use map, otherwise, depending on the parameter value type, it could be one of string, number, boolean, null, list or map. MapValue value: If parameter's entity type is a composite entity then use map from composite entity property names to property values, otherwise, use parameter value.

Conversation

Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

Fields
name	string Output only. Identifier. The unique identifier of this conversation. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.
lifecycle_state	LifecycleState Output only. The current state of the Conversation.
conversation_profile	string Required. The Conversation Profile to be used to configure this Conversation. This field cannot be updated. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>.
phone_number	ConversationPhoneNumber Output only. It will not be empty if the conversation is to be connected over telephony.
start_time	Timestamp Output only. The time the conversation was started.
end_time	Timestamp Output only. The time the conversation was finished.
conversation_stage	ConversationStage Optional. The stage of a conversation. It indicates whether the virtual agent or a human agent is handling the conversation. If the conversation is created with the conversation profile that has Dialogflow config set, defaults to ConversationStage.VIRTUAL_AGENT_STAGE; Otherwise, defaults to ConversationStage.HUMAN_ASSIST_STAGE. If the conversation is created with the conversation profile that has Dialogflow config set but explicitly sets conversation_stage to ConversationStage.HUMAN_ASSIST_STAGE, it skips ConversationStage.VIRTUAL_AGENT_STAGE stage and directly goes to ConversationStage.HUMAN_ASSIST_STAGE.

ConversationStage

Enumeration of the different conversation stages a conversation can be in. Reference: https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages

Enums
CONVERSATION_STAGE_UNSPECIFIED	Unknown. Should never be used after a conversation is successfully created.
VIRTUAL_AGENT_STAGE	The conversation should return virtual agent responses into the conversation.
HUMAN_ASSIST_STAGE	The conversation should not provide responses, just listen and provide suggestions.

LifecycleState

Enumeration of the completion status of the conversation.

Enums
LIFECYCLE_STATE_UNSPECIFIED	Unknown.
IN_PROGRESS	Conversation is currently open for media analysis.
COMPLETED	Conversation has been completed.

ConversationContext

Context of the conversation, including transcripts.

Fields
message_entries[]	MessageEntry Optional. List of message transcripts in the conversation.

ConversationDataset

Represents a conversation dataset that a user imports raw data into. The data inside ConversationDataset can not be changed after ImportConversationData finishes (and calling ImportConversationData on a dataset that already has data is not allowed).

Fields
name	string Output only. ConversationDataset resource name. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset ID>
display_name	string Required. The display name of the dataset. Maximum of 64 bytes.
description	string Optional. The description of the dataset. Maximum of 10000 bytes.
create_time	Timestamp Output only. Creation time of this dataset.
input_config	InputConfig Output only. Input configurations set during conversation data import.
conversation_info	ConversationInfo Output only. Metadata set during conversation data import.
conversation_count	int64 Output only. The number of conversations this conversation dataset contains.
satisfies_pzi	bool Output only. A read only boolean field reflecting Zone Isolation status of the dataset.
satisfies_pzs	bool Output only. A read only boolean field reflecting Zone Separation status of the dataset.

ConversationEvent

Represents a notification sent to Pub/Sub subscribers for conversation lifecycle events.

Fields
conversation	string The unique identifier of the conversation this notification refers to. Format: projects/<Project ID>/conversations/<Conversation ID>.
type	Type The type of the event that this notification refers to.
error_status	Status More detailed information about an error. Only set for type UNRECOVERABLE_ERROR_IN_PHONE_CALL.
Union field payload. Payload of conversation event. payload can be only one of the following:
new_message_payload	Message Payload of NEW_MESSAGE event.

Type

Enumeration of the types of events available.

Enums
TYPE_UNSPECIFIED	Type not set.
CONVERSATION_STARTED	A new conversation has been opened. This is fired when a telephone call is answered, or a conversation is created via the API.
CONVERSATION_FINISHED	An existing conversation has closed. This is fired when a telephone call is terminated, or a conversation is closed via the API.
HUMAN_INTERVENTION_NEEDED	An existing conversation has received notification from Dialogflow that human intervention is required.
NEW_MESSAGE	An existing conversation has received a new message, either from API or telephony. It is configured in ConversationProfile.new_message_event_notification_config
UNRECOVERABLE_ERROR	Unrecoverable error during a telephone call. In general non-recoverable errors only occur if something was misconfigured in the ConversationProfile corresponding to the call. After a non-recoverable error, Dialogflow may stop responding. We don't fire this event: in an API call because we can directly return the error, or, when we can recover from an error.

ConversationInfo

Represents metadata of a conversation.

Fields
language_code	string Optional. The language code of the conversation data within this dataset. See https://cloud.google.com/apis/design/standard_fields for more information. Supports all UTF-8 languages.

ConversationModel

Represents a conversation model.

Fields
name	string ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>
display_name	string Required. The display name of the model. At most 64 bytes long.
create_time	Timestamp Output only. Creation time of this model.
datasets[]	InputDataset Required. Datasets used to create model.
state	State Output only. State of the model. A model can only serve prediction requests after it gets deployed.
language_code	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".
Union field model_metadata. Required. The model metadata that is specific to the problem type. Must match the metadata type of the dataset used to train the model. model_metadata can be only one of the following:
article_suggestion_model_metadata	ArticleSuggestionModelMetadata Metadata for article suggestion models.
smart_reply_model_metadata	SmartReplyModelMetadata Metadata for smart reply models.
satisfies_pzs	bool Output only. A read only boolean field reflecting Zone Separation status of the model.
satisfies_pzi	bool Output only. A read only boolean field reflecting Zone Isolation status of the model.

ModelType

Model type.

Enums
MODEL_TYPE_UNSPECIFIED	ModelType unspecified.
SMART_REPLY_DUAL_ENCODER_MODEL	ModelType smart reply dual encoder model.
SMART_REPLY_BERT_MODEL	ModelType smart reply bert model.

State

State of the model.

Enums
STATE_UNSPECIFIED	Should not be used, an un-set enum has this value by default.
CREATING	Model being created.
UNDEPLOYED	Model is not deployed but ready to deploy.
DEPLOYING	Model is deploying.
DEPLOYED	Model is deployed and ready to use.
UNDEPLOYING	Model is undeploying.
DELETING	Model is deleting.
FAILED	Model is in error state. Not ready to deploy and use.
PENDING	Model is being created but the training has not started, The model may remain in this state until there is enough capacity to start training.

ConversationModelEvaluation

Represents evaluation result of a conversation model.

Fields
name	string The resource name of the evaluation. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID>
display_name	string Optional. The display name of the model evaluation. At most 64 bytes long.
evaluation_config	EvaluationConfig Optional. The configuration of the evaluation task.
create_time	Timestamp Output only. Creation time of this model.
raw_human_eval_template_csv	string Output only. Human eval template in csv format. It tooks real-world conversations provided through input dataset, generates example suggestions for customer to verify quality of the model. For Smart Reply, the generated csv file contains columns of Context, (Suggestions,Q1,Q2)*3, Actual reply. Context contains at most 10 latest messages in the conversation prior to the current suggestion. Q1: "Would you send it as the next message of agent?" Evaluated based on whether the suggest is appropriate to be sent by agent in current context. Q2: "Does the suggestion move the conversation closer to resolution?" Evaluated based on whether the suggestion provide solutions, or answers customer's question or collect information from customer to resolve the customer's issue. Actual reply column contains the actual agent reply sent in the context.
Union field metrics. Metrics details. metrics can be only one of the following:
smart_reply_metrics	SmartReplyMetrics Output only. Only available when model is for smart reply.

ConversationPhoneNumber

Represents a phone number for telephony integration. It allows for connecting a particular conversation over telephony.

Fields
phone_number	string Output only. The phone number to connect to this conversation.

ConversationProfile

Defines the services to connect to incoming Dialogflow conversations.

Fields
name	string The unique identifier of this conversation profile. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>.
display_name	string Required. Human readable name for this profile. Max length 1024 bytes.
create_time	Timestamp Output only. Create time of the conversation profile.
update_time	Timestamp Output only. Update time of the conversation profile.
automated_agent_config	AutomatedAgentConfig Configuration for an automated agent to use with this profile.
human_agent_assistant_config	HumanAgentAssistantConfig Configuration for agent assistance to use with this profile.
human_agent_handoff_config	HumanAgentHandoffConfig Configuration for connecting to a live agent. Currently, this feature is not general available, please contact Google to get access.
notification_config	NotificationConfig Configuration for publishing conversation lifecycle events.
logging_config	LoggingConfig Configuration for logging conversation lifecycle events.
new_message_event_notification_config	NotificationConfig Configuration for publishing new message events. Event will be sent in format of ConversationEvent
stt_config	SpeechToTextConfig Settings for speech transcription.
language_code	string Language code for the conversation profile. If not specified, the language is en-US. Language at ConversationProfile should be set for all non en-US languages. This should be a BCP-47 language tag. Example: "en-US".
time_zone	string The time zone of this conversational profile from the time zone database, e.g., America/New_York, Europe/Paris. Defaults to America/New_York.
security_settings	string Name of the CX SecuritySettings reference for the agent. Format: projects/<Project ID>/locations/<Location ID>/securitySettings/<Security Settings ID>.
tts_config	SynthesizeSpeechConfig Configuration for Text-to-Speech synthesization. Used by Phone Gateway to specify synthesization options. If agent defines synthesization options as well, agent settings overrides the option here.

CreateContextRequest

The request message for Contexts.CreateContext.

Fields
parent	string Required. The session to create a context for. Format: projects/<Project ID>/agent/sessions/<Session ID> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource parent: dialogflow.contexts.create
context	Context Required. The context to create.

CreateConversationDatasetOperationMetadata

Metadata for [CreateConversationDataset][].

Fields
conversation_dataset	string The resource name of the conversation dataset that will be created. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset Id>

CreateConversationDatasetRequest

The request message for ConversationDatasets.CreateConversationDataset.

Fields
parent	string Required. The project to create conversation dataset for. Format: projects/<Project ID>/locations/<Location ID> Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversationDatasets.create
conversation_dataset	ConversationDataset Required. The conversation dataset to create.

CreateConversationModelEvaluationOperationMetadata

Metadata for a ConversationModels.CreateConversationModelEvaluation operation.

Fields
conversation_model_evaluation	string The resource name of the conversation model. Format: projects/<Project ID>/locations/<Location ID>/conversationModels/<Conversation Model Id>/evaluations/<Evaluation Id>
conversation_model	string The resource name of the conversation model. Format: projects/<Project ID>/locations/<Location ID>/conversationModels/<Conversation Model Id>
state	State State of CreateConversationModel operation.
create_time	Timestamp Timestamp when the request to create conversation model was submitted. The time is measured on server side.

State

State of CreateConversationModel operation.

Enums
STATE_UNSPECIFIED	Operation status not specified.
INITIALIZING	The operation is being prepared.
RUNNING	The operation is running.
CANCELLED	The operation is cancelled.
SUCCEEDED	The operation has succeeded.
FAILED	The operation has failed.

CreateConversationModelEvaluationRequest

The request message for ConversationModels.CreateConversationModelEvaluation

Fields
parent	string Required. The conversation model resource name. Format: projects/<Project ID>/locations/<Location ID>/conversationModels/<Conversation Model ID> Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversationModelEvaluations.create
conversation_model_evaluation	ConversationModelEvaluation Required. The conversation model evaluation to be created.

CreateConversationModelOperationMetadata

Metadata for a ConversationModels.CreateConversationModel operation.

Fields
conversation_model	string The resource name of the conversation model. Format: projects/<Project ID>/conversationModels/<Conversation Model Id>
state	State State of CreateConversationModel operation.
create_time	Timestamp Timestamp when the request to create conversation model is submitted. The time is measured on server side.

State

State of CreateConversationModel operation.

Enums
STATE_UNSPECIFIED	Invalid.
PENDING	Request is submitted, but training has not started yet. The model may remain in this state until there is enough capacity to start training.
SUCCEEDED	The training has succeeded.
FAILED	The training has succeeded.
CANCELLED	The training has been cancelled.
CANCELLING	The training is in cancelling state.
TRAINING	Custom model is training.

CreateConversationModelRequest

The request message for ConversationModels.CreateConversationModel

Fields
parent	string The project to create conversation model for. Format: projects/<Project ID> Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversationModels.create
conversation_model	ConversationModel Required. The conversation model to create.

CreateConversationProfileRequest

The request message for ConversationProfiles.CreateConversationProfile.

Fields
parent	string Required. The project to create a conversation profile for. Format: projects/<Project ID>/locations/<Location ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversationProfiles.create
conversation_profile	ConversationProfile Required. The conversation profile to create.

CreateConversationRequest

The request message for Conversations.CreateConversation.

Fields
parent	string Required. Resource identifier of the project creating the conversation. Format: projects/<Project ID>/locations/<Location ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversations.create
conversation	Conversation Required. The conversation to create.
conversation_id	string Optional. Identifier of the conversation. Generally it's auto generated by Google. Only set it if you cannot wait for the response to return a auto-generated one to you. The conversation ID must be compliant with the regression formula [a-zA-Z][a-zA-Z0-9_-]* with the characters length in range of [3,64]. If the field is provided, the caller is responsible for 1. the uniqueness of the ID, otherwise the request will be rejected. 2. the consistency for whether to use custom ID or not under a project to better ensure uniqueness.

CreateDocumentRequest

Request message for Documents.CreateDocument.

Fields
parent	string Required. The knowledge base to create a document for. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.documents.create
document	Document Required. The document to create.

CreateEntityTypeRequest

The request message for EntityTypes.CreateEntityType.

Fields
parent	string Required. The agent to create a entity type for. Format: projects/<Project ID>/agent. Authorization requires the following IAM permission on the specified resource parent: dialogflow.entityTypes.create
entity_type	EntityType Required. The entity type to create.
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.

CreateEnvironmentRequest

The request message for Environments.CreateEnvironment.

Fields
parent	string Required. The agent to create an environment for. Supported formats: projects/<Project ID>/agent projects/<Project ID>/locations/<Location ID>/agent Authorization requires the following IAM permission on the specified resource parent: dialogflow.environments.create
environment	Environment Required. The environment to create.
environment_id	string Required. The unique id of the new environment.

CreateGeneratorRequest

Request message of CreateGenerator.

Fields
parent	string Required. The project/location to create generator for. Format: projects/<Project ID>/locations/<Location ID>
generator	Generator Required. The generator to create.
generator_id	string Optional. The ID to use for the generator, which will become the final component of the generator's resource name. The generator ID must be compliant with the regression formula [a-zA-Z][a-zA-Z0-9_-]* with the characters length in range of [3,64]. If the field is not provided, an Id will be auto-generated. If the field is provided, the caller is responsible for 1. the uniqueness of the ID, otherwise the request will be rejected. 2. the consistency for whether to use custom ID or not under a project to better ensure uniqueness.

CreateIntentRequest

The request message for Intents.CreateIntent.

Fields
parent	string Required. The agent to create a intent for. Format: projects/<Project ID>/agent. Authorization requires the following IAM permission on the specified resource parent: dialogflow.intents.create
intent	Intent Required. The intent to create.
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
intent_view	IntentView Optional. The resource view to apply to the returned intent.

CreateKnowledgeBaseRequest

Request message for KnowledgeBases.CreateKnowledgeBase.

Fields
parent	string Required. The project to create a knowledge base for. Format: projects/<Project ID>/locations/<Location ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.knowledgeBases.create
knowledge_base	KnowledgeBase Required. The knowledge base to create.

CreateParticipantRequest

The request message for Participants.CreateParticipant.

Fields
parent	string Required. Resource identifier of the conversation adding the participant. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.participants.create
participant	Participant Required. The participant to create.

CreateSessionEntityTypeRequest

The request message for SessionEntityTypes.CreateSessionEntityType.

Fields
parent	string Required. The session to create a session entity type for. Format: projects/<Project ID>/agent/sessions/<Session ID> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/ sessions/<Session ID>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource parent: dialogflow.sessionEntityTypes.create
session_entity_type	SessionEntityType Required. The session entity type to create.

CreateVersionRequest

The request message for Versions.CreateVersion.

Fields
parent	string Required. The agent to create a version for. Supported formats: projects/<Project ID>/agent projects/<Project ID>/locations/<Location ID>/agent Authorization requires the following IAM permission on the specified resource parent: dialogflow.versions.create
version	Version Required. The version to create.

DeleteAgentRequest

The request message for Agents.DeleteAgent.

Fields
parent	string Required. The project that the agent to delete is associated with. Format: projects/<Project ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.agents.delete

DeleteAllContextsRequest

The request message for Contexts.DeleteAllContexts.

Fields

parent

string Required. The name of the session to delete all contexts from. Format: projects/<Project ID>/agent/sessions/<Session ID> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>. If Environment ID is not specified we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource parent: dialogflow.contexts.deleteAll

DeleteContextRequest

The request message for Contexts.DeleteContext.

Fields

name

string Required. The name of the context to delete. Format: projects/<Project ID>/agent/sessions/<Session ID>/contexts/<Context ID> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>/contexts/<Context ID>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource name: dialogflow.contexts.delete

DeleteConversationDatasetOperationMetadata

This type has no fields.

Metadata for [DeleteConversationDataset][].

DeleteConversationDatasetRequest

The request message for ConversationDatasets.DeleteConversationDataset.

Fields
name	string Required. The conversation dataset to delete. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationDatasets.delete

DeleteConversationModelOperationMetadata

Metadata for a ConversationModels.DeleteConversationModel operation.

Fields
conversation_model	string The resource name of the conversation model. Format: projects/<Project ID>/conversationModels/<Conversation Model Id>
create_time	Timestamp Timestamp when delete conversation model request was created. The time is measured on server side.

DeleteConversationModelRequest

The request message for ConversationModels.DeleteConversationModel

Fields
name	string Required. The conversation model to delete. Format: projects/<Project ID>/conversationModels/<Conversation Model ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationModels.delete

DeleteConversationProfileRequest

The request message for ConversationProfiles.DeleteConversationProfile.

This operation fails if the conversation profile is still referenced from a phone number.

Fields
name	string Required. The name of the conversation profile to delete. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationProfiles.delete

DeleteDocumentRequest

Request message for Documents.DeleteDocument.

Fields
name	string Required. The name of the document to delete. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.documents.delete

DeleteEntityTypeRequest

The request message for EntityTypes.DeleteEntityType.

Fields
name	string Required. The name of the entity type to delete. Format: projects/<Project ID>/agent/entityTypes/<EntityType ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.entityTypes.delete

DeleteEnvironmentRequest

The request message for Environments.DeleteEnvironment.

Fields
name	string Required. The name of the environment to delete. / Format: projects/<Project ID>/agent/environments/<Environment ID> projects/<Project ID>/locations/<Location ID>/agent/environments/<Environment ID> The environment ID for the default environment is -. Authorization requires the following IAM permission on the specified resource name: dialogflow.environments.delete

DeleteGeneratorRequest

Request of DeleteGenerator.

Fields
name	string Required. The generator resource name to delete. Format: projects/<Project ID>/locations/<Location ID>/generators/<Generator ID>

DeleteIntentRequest

The request message for Intents.DeleteIntent.

Fields
name	string Required. The name of the intent to delete. If this intent has direct or indirect followup intents, we also delete them. Format: projects/<Project ID>/agent/intents/<Intent ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.intents.delete

DeleteKnowledgeBaseRequest

Request message for KnowledgeBases.DeleteKnowledgeBase.

Fields
name	string Required. The name of the knowledge base to delete. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.knowledgeBases.delete
force	bool Optional. Force deletes the knowledge base. When set to true, any documents in the knowledge base are also deleted.

DeleteSessionEntityTypeRequest

The request message for SessionEntityTypes.DeleteSessionEntityType.

Fields

name

string Required. The name of the entity type to delete. Format: projects/<Project ID>/agent/sessions/<Session ID>/entityTypes/<Entity Type Display Name> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>/entityTypes/<Entity Type Display Name>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource name: dialogflow.sessionEntityTypes.delete

DeleteVersionRequest

The request message for Versions.DeleteVersion.

Fields
name	string Required. The name of the version to delete. Supported formats: projects/<Project ID>/agent/versions/<Version ID> projects/<Project ID>/locations/<Location ID>/agent/versions/<Version ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.versions.delete

DeployConversationModelOperationMetadata

Metadata for a ConversationModels.DeployConversationModel operation.

Fields
conversation_model	string The resource name of the conversation model. Format: projects/<Project ID>/conversationModels/<Conversation Model Id>
create_time	Timestamp Timestamp when request to deploy conversation model was submitted. The time is measured on server side.

DeployConversationModelRequest

The request message for ConversationModels.DeployConversationModel

Fields
name	string Required. The conversation model to deploy. Format: projects/<Project ID>/conversationModels/<Conversation Model ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationModels.deploy

DetectIntentRequest

The request to detect user's intent.

Fields
session	string Required. The name of the session this query is sent to. Format: projects/<Project ID>/agent/sessions/<Session ID>, or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>. If Environment ID is not specified, we assume default 'draft' environment (Environment ID might be referred to as environment name at some places). If User ID is not specified, we are using "-". It's up to the API caller to choose an appropriate Session ID and User Id. They can be a random number or some type of user and session identifiers (preferably hashed). The length of the Session ID and User ID must not exceed 36 characters. For more information, see the API interactions guide. Note: Always use agent versions for production traffic. See Versions and environments. Authorization requires the following IAM permission on the specified resource session: dialogflow.sessions.detectIntent
query_params	QueryParameters The parameters of this query.
query_input	QueryInput Required. The input specification. It can be set to: an audio config which instructs the speech recognizer how to process the speech audio, a conversational query in the form of text, or an event that specifies which intent to trigger.
output_audio_config	OutputAudioConfig Instructs the speech synthesizer how to generate the output audio. If this field is not set and agent-level speech synthesizer is not configured, no output audio is generated.
output_audio_config_mask	FieldMask Mask for output_audio_config indicating which settings in this request-level config should override speech synthesizer settings defined at agent-level. If unspecified or empty, output_audio_config replaces the agent-level config in its entirety.
input_audio	bytes The natural language speech audio to be processed. This field should be populated iff query_input is set to an input audio config. A single request can contain up to 1 minute of speech audio data.

DetectIntentResponse

The message returned from the [DetectIntent][] method.

Fields
response_id	string The unique identifier of the response. It can be used to locate a response in the training example set or for reporting issues.
query_result	QueryResult The selected results of the conversational query or event processing. See alternative_query_results for additional potential results.
webhook_status	Status Specifies the status of the webhook request.
output_audio	bytes The audio data bytes encoded as specified in the request. Note: The output audio is generated based on the values of default platform text responses found in the query_result.fulfillment_messages field. If multiple default text responses exist, they will be concatenated when generating audio. If no default platform text responses exist, the generated audio content will be empty. In some scenarios, multiple output audio fields may be present in the response structure. In these cases, only the top-most-level audio output has content.
output_audio_config	OutputAudioConfig The config used by the speech synthesizer to generate the output audio.

DialogflowAssistAnswer

Represents a Dialogflow assist answer.

Fields
answer_record	string The name of answer record, in the format of "projects//locations//answerRecords/"
Union field result. Result from DetectIntent for one matched intent. result can be only one of the following:
query_result	QueryResult Result from v2 agent.
intent_suggestion	IntentSuggestion An intent suggestion generated from conversation.

Document

A knowledge document to be used by a KnowledgeBase.

For more information, see the knowledge base guide.

Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.

Fields
name	string Optional. The document resource name. The name must be empty when creating a document. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>.
display_name	string Required. The display name of the document. The name must be 1024 bytes or less; otherwise, the creation request fails.
mime_type	string Required. The MIME type of this document.
knowledge_types[]	KnowledgeType Required. The knowledge type of document content.
enable_auto_reload	bool Optional. If true, we try to automatically reload the document every day (at a time picked by the system). If false or unspecified, we don't try to automatically reload the document. Currently you can only enable automatic reload for documents sourced from a public url, see source field for the source types. Reload status can be tracked in latest_reload_status. If a reload fails, we will keep the document unchanged. If a reload fails with internal errors, the system will try to reload the document on the next day. If a reload fails with non-retriable errors (e.g. PERMISSION_DENIED), the system will not try to reload the document anymore. You need to manually reload the document successfully by calling ReloadDocument and clear the errors.
latest_reload_status	ReloadStatus Output only. The time and status of the latest reload. This reload may have been triggered automatically or manually and may not have succeeded.
metadata	map<string, string> Optional. Metadata for the document. The metadata supports arbitrary key-value pairs. Suggested use cases include storing a document's title, an external URL distinct from the document's content_uri, etc. The max size of a key or a value of the metadata is 1024 bytes.
state	State Output only. The current state of the document.
Union field source. Required. The source of this document. source can be only one of the following:
content_uri	string The URI where the file content is located. For documents stored in Google Cloud Storage, these URIs must have the form gs://<bucket-name>/<object-name>. NOTE: External URLs must correspond to public webpages, i.e., they must be indexed by Google Search. In particular, URLs for showing documents in Google Cloud Storage (i.e. the URL in your browser) are not supported. Instead use the gs:// format URI described above.
raw_content	bytes The raw content of the document. This field is only permitted for EXTRACTIVE_QA and FAQ knowledge types.

KnowledgeType

The knowledge type of document content.

Enums
KNOWLEDGE_TYPE_UNSPECIFIED	The type is unspecified or arbitrary.
FAQ	The document content contains question and answer pairs as either HTML or CSV. Typical FAQ HTML formats are parsed accurately, but unusual formats may fail to be parsed. CSV must have questions in the first column and answers in the second, with no header. Because of this explicit format, they are always parsed accurately.
EXTRACTIVE_QA	Documents for which unstructured text is extracted and used for question answering.
ARTICLE_SUGGESTION	The entire document content as a whole can be used for query results. Only for Contact Center Solutions on Dialogflow.
AGENT_FACING_SMART_REPLY	The document contains agent-facing Smart Reply entries.

ReloadStatus

The status of a reload attempt.

Fields
time	Timestamp The time of a reload attempt. This reload may have been triggered automatically or manually and may not have succeeded.
status	Status The status of a reload attempt or the initial load.

State

Possible states of the document

Enums
STATE_UNSPECIFIED	The document state is unspecified.
CREATING	The document creation is in progress.
ACTIVE	The document is active and ready to use.
UPDATING	The document updation is in progress.
RELOADING	The document is reloading.
DELETING	The document deletion is in progress.

DtmfParameters

The message in the response that indicates the parameters of DTMF.

Fields
accepts_dtmf_input	bool Indicates whether DTMF input can be handled in the next request.

EncryptionSpec

A customer-managed encryption key specification that can be applied to all created resources (e.g. Conversation).

Fields
name	string Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec
kms_key	string Required. The name of customer-managed encryption key that is used to secure a resource and its sub-resources. If empty, the resource is secured by the default Google encryption key. Only the key in the same location as this resource is allowed to be used for encryption. Format: projects/{project}/locations/{location}/keyRings/{keyRing}/cryptoKeys/{key}

EntityType

Each intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted.

Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent.

For more information, see the Entity guide.

Fields
name	string The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: projects/<Project ID>/agent/entityTypes/<Entity Type ID>.
display_name	string Required. The name of the entity type.
kind	Kind Required. Indicates the kind of entity type.
auto_expansion_mode	AutoExpansionMode Optional. Indicates whether the entity type can be automatically expanded.
entities[]	Entity Optional. The collection of entity entries associated with the entity type.
enable_fuzzy_extraction	bool Optional. Enables fuzzy entity extraction during classification.

AutoExpansionMode

Represents different entity type expansion modes. Automated expansion allows an agent to recognize values that have not been explicitly listed in the entity (for example, new kinds of shopping list items).

Enums
AUTO_EXPANSION_MODE_UNSPECIFIED	Auto expansion disabled for the entity.
AUTO_EXPANSION_MODE_DEFAULT	Allows an agent to recognize values that have not been explicitly listed in the entity.

Entity

An entity entry for an associated entity type.

Fields
value	string Required. The primary value associated with this entity entry. For example, if the entity type is vegetable, the value could be scallions. For KIND_MAP entity types: A reference value to be used in place of synonyms. For KIND_LIST entity types: A string that can contain references to other entity types (with or without aliases).
synonyms[]	string Required. A collection of value synonyms. For example, if the entity type is vegetable, and value is scallions, a synonym could be green onions. For KIND_LIST entity types: This collection must contain exactly one synonym equal to value.

Kind

Represents kinds of entities.

Enums
KIND_UNSPECIFIED	Not specified. This value should be never used.
KIND_MAP	Map entity types allow mapping of a group of synonyms to a reference value.
KIND_LIST	List entity types contain a set of entries that do not map to reference values. However, list entity types can contain references to other entity types (with or without aliases).
KIND_REGEXP	Regexp entity types allow to specify regular expressions in entries values.

EntityTypeBatch

This message is a wrapper around a collection of entity types.

Fields
entity_types[]	EntityType A collection of entity types.

Environment

You can create multiple versions of your agent and publish them to separate environments.

When you edit an agent, you are editing the draft agent. At any point, you can save the draft agent as an agent version, which is an immutable snapshot of your agent.

When you save the draft agent, it is published to the default environment. When you create agent versions, you can publish them to custom environments. You can create a variety of custom environments for:

• testing
• development
• production
• etc.

For more information, see the versions and environments guide.

Fields
name	string Output only. The unique identifier of this agent environment. Supported formats: projects/<Project ID>/agent/environments/<Environment ID> projects/<Project ID>/locations/<Location ID>/agent/environments/<Environment ID> The environment ID for the default environment is -.
description	string Optional. The developer-provided description for this environment. The maximum length is 500 characters. If exceeded, the request is rejected.
agent_version	string Optional. The agent version loaded into this environment. Supported formats: projects/<Project ID>/agent/versions/<Version ID> projects/<Project ID>/locations/<Location ID>/agent/versions/<Version ID>
state	State Output only. The state of this environment. This field is read-only, i.e., it cannot be set by create and update methods.
update_time	Timestamp Output only. The last update time of this environment. This field is read-only, i.e., it cannot be set by create and update methods.
text_to_speech_settings	TextToSpeechSettings Optional. Text to speech settings for this environment.
fulfillment	Fulfillment Optional. The fulfillment settings to use for this environment.

State

Represents an environment state. When an environment is pointed to a new agent version, the environment is temporarily set to the LOADING state. During that time, the environment keeps on serving the previous version of the agent. After the new agent version is done loading, the environment is set back to the RUNNING state.

Enums
STATE_UNSPECIFIED	Not specified. This value is not used.
STOPPED	Stopped.
LOADING	Loading.
RUNNING	Running.

EnvironmentHistory

The response message for Environments.GetEnvironmentHistory.

Fields
parent	string Output only. The name of the environment this history is for. Supported formats: projects/<Project ID>/agent/environments/<Environment ID> projects/<Project ID>/locations/<Location ID>/agent/environments/<Environment ID> The environment ID for the default environment is -.
entries[]	Entry Output only. The list of agent environments. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Output only. Token to retrieve the next page of results, or empty if there are no more results in the list.

Entry

Represents an environment history entry.

Fields
agent_version	string The agent version loaded into this environment history entry.
description	string The developer-provided description for this environment history entry.
create_time	Timestamp The creation time of this environment history entry.

EvaluationConfig

The configuration for model evaluation.

Fields
datasets[]	InputDataset Required. Datasets used for evaluation.
Union field model_specific_config. Specific configurations for different models in order to do evaluation. model_specific_config can be only one of the following:
smart_reply_config	SmartReplyConfig Configuration for smart reply model evalution.
smart_compose_config	SmartComposeConfig Configuration for smart compose model evalution.

SmartComposeConfig

Smart compose specific configuration for evaluation job.

Fields
allowlist_document	string The allowlist document resource name. Format: projects/<Project ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>. Only used for smart compose model.
max_result_count	int32 Required. The model to be evaluated can return multiple results with confidence score on each query. These results will be sorted by the descending order of the scores and we only keep the first max_result_count results as the final results to evaluate.

SmartReplyConfig

Smart reply specific configuration for evaluation job.

Fields
allowlist_document	string The allowlist document resource name. Format: projects/<Project ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>. Only used for smart reply model.
max_result_count	int32 Required. The model to be evaluated can return multiple results with confidence score on each query. These results will be sorted by the descending order of the scores and we only keep the first max_result_count results as the final results to evaluate.

EventInput

Events allow for matching intents by event name instead of the natural language input. For instance, input <event: { name: "welcome_event", parameters: { name: "Sam" } }> can trigger a personalized welcome response. The parameter name may be used by the agent in the response: "Hello #welcome_event.name! What can I do for you today?".

Fields
name	string Required. The unique identifier of the event.
parameters	Struct The collection of parameters associated with the event. Depending on your protocol or client library language, this is a map, associative array, symbol table, dictionary, or JSON object composed of a collection of (MapKey, MapValue) pairs: MapKey type: string MapKey value: parameter name MapValue type: If parameter's entity type is a composite entity then use map, otherwise, depending on the parameter value type, it could be one of string, number, boolean, null, list or map. MapValue value: If parameter's entity type is a composite entity then use map from composite entity property names to property values, otherwise, use parameter value.
language_code	string Required. The language of this query. See Language Support for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language. This field is ignored when used in the context of a WebhookResponse.followup_event_input field, because the language was already defined in the originating detect intent request.

ExportAgentRequest

The request message for Agents.ExportAgent.

Fields
parent	string Required. The project that the agent to export is associated with. Format: projects/<Project ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.agents.export
agent_uri	string Required. The Google Cloud Storage URI to export the agent to. The format of this URI must be gs://<bucket-name>/<object-name>. If left unspecified, the serialized agent is returned inline. Dialogflow performs a write operation for the Cloud Storage object on the caller's behalf, so your request authentication must have write permissions for the object. For more information, see Dialogflow access control.

ExportAgentResponse

The response message for Agents.ExportAgent.

Fields
Union field agent. The exported agent. agent can be only one of the following:
agent_uri	string The URI to a file containing the exported agent. This field is populated only if agent_uri is specified in ExportAgentRequest.
agent_content	bytes Zip compressed raw byte content for agent.

ExportDocumentRequest

Request message for Documents.ExportDocument.

Fields
name	string Required. The name of the document to export. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.documents.get
export_full_content	bool When enabled, export the full content of the document including empirical probability.
smart_messaging_partial_update	bool When enabled, export the smart messaging allowlist document for partial update.
Union field destination. Required. The destination for the export. destination can be only one of the following:
gcs_destination	GcsDestination Cloud Storage file path to export the document.

ExportOperationMetadata

Metadata related to the Export Data Operations (e.g. ExportDocument).

Fields
exported_gcs_destination	GcsDestination Cloud Storage file path of the exported data.

FaqAnswer

Represents answer from "frequently asked questions".

Fields
answer	string The piece of text from the source knowledge base document.
confidence	float The system's confidence score that this Knowledge answer is a good match for this conversational query, range from 0.0 (completely uncertain) to 1.0 (completely certain).
question	string The corresponding FAQ question.
source	string Indicates which Knowledge Document this answer was extracted from. Format: projects/<Project ID>/locations/<Location ID>/agent/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>.
metadata	map<string, string> A map that contains metadata about the answer and the document from which it originates.
answer_record	string The name of answer record, in the format of "projects//locations//answerRecords/"

FewShotExample

Providing examples in the generator (i.e. building a few-shot generator) helps convey the desired format of the LLM response.

Fields
conversation_context	ConversationContext Optional. Conversation transcripts.
extra_info	map<string, string> Optional. Key is the placeholder field name in input, value is the value of the placeholder. E.g. instruction contains "@price", and ingested data has <"price", "10">
output	GeneratorSuggestion Required. Example output of the model.
Union field instruction_list. Instruction list of this few_shot example. instruction_list can be only one of the following:
summarization_section_list	SummarizationSectionList Summarization sections.

Fulfillment

By default, your agent responds to a matched intent with a static response. As an alternative, you can provide a more dynamic response by using fulfillment. When you enable fulfillment for an intent, Dialogflow responds to that intent by calling a service that you define. For example, if an end-user wants to schedule a haircut on Friday, your service can check your database and respond to the end-user with availability information for Friday.

For more information, see the fulfillment guide.

Fields
name	string Required. The unique identifier of the fulfillment. Supported formats: projects/<Project ID>/agent/fulfillment projects/<Project ID>/locations/<Location ID>/agent/fulfillment This field is not used for Fulfillment in an Environment.
display_name	string Optional. The human-readable name of the fulfillment, unique within the agent. This field is not used for Fulfillment in an Environment.
enabled	bool Optional. Whether fulfillment is enabled.
features[]	Feature Optional. The field defines whether the fulfillment is enabled for certain features.
Union field fulfillment. Required. The fulfillment configuration. fulfillment can be only one of the following:
generic_web_service	GenericWebService Configuration for a generic web service.

Feature

Whether fulfillment is enabled for the specific feature.

Fields
type	Type The type of the feature that enabled for fulfillment.

Type

The type of the feature.

Enums
TYPE_UNSPECIFIED	Feature type not specified.
SMALLTALK	Fulfillment is enabled for SmallTalk.

GenericWebService

Represents configuration for a generic web service. Dialogflow supports two mechanisms for authentications:

• Basic authentication with username and password.
• Authentication with additional authentication headers.

More information could be found at: https://cloud.google.com/dialogflow/docs/fulfillment-configure.

Fields
uri	string Required. The fulfillment URI for receiving POST requests. It must use https protocol.
username	string Optional. The user name for HTTP Basic authentication.
password	string Optional. The password for HTTP Basic authentication.
request_headers	map<string, string> Optional. The HTTP request headers to send together with fulfillment requests.
is_cloud_function (deprecated)	bool This item is deprecated! Optional. Indicates if generic web service is created through Cloud Functions integration. Defaults to false. is_cloud_function is deprecated. Cloud functions can be configured by its uri as a regular web service now.

GcsDestination

Google Cloud Storage location for the output.

Fields
uri	string The Google Cloud Storage URIs for the output. A URI is of the form: gs://bucket/object-prefix-or-name Whether a prefix or name is used depends on the use case. The requesting user must have "write-permission" to the bucket.

GcsSources

Google Cloud Storage location for the inputs.

Fields
uris[]	string Required. Google Cloud Storage URIs for the inputs. A URI is of the form: gs://bucket/object-prefix-or-name Whether a prefix or name is used depends on the use case.

GenerateStatelessSuggestionRequest

The request message for Conversations.GenerateStatelessSuggestion.

Fields
parent	string Required. The parent resource to charge for the Suggestion's generation. Format: projects/<Project ID>/locations/<Location ID>.
conversation_context	ConversationContext Optional. Context of the conversation, including transcripts.
trigger_events[]	TriggerEvent Optional. A list of trigger events. Generator will be triggered only if it's trigger event is included here.
Union field generator_resource. Generator. generator_resource can be only one of the following:
generator	Generator Uncreated generator. It should be a complete generator that includes all information about the generator.
generator_name	string The resource name of the existing created generator. Format: projects/<Project ID>/locations/<Location ID>/generators/<Generator ID>

GenerateStatelessSuggestionResponse

The response message for Conversations.GenerateStatelessSuggestion.

Fields
generator_suggestion	GeneratorSuggestion Required. Generated suggestion for a conversation.

GenerateStatelessSummaryRequest

The request message for Conversations.GenerateStatelessSummary.

Fields
stateless_conversation	MinimalConversation Required. The conversation to suggest a summary for.
conversation_profile	ConversationProfile Required. A ConversationProfile containing information required for Summary generation. Required fields: {language_code, security_settings} Optional fields: {agent_assistant_config}
latest_message	string Optional. The name of the latest conversation message used as context for generating a Summary. If empty, the latest message of the conversation will be used. The format is specific to the user and the names of the messages provided.
max_context_size	int32 Optional. Max number of messages prior to and including [latest_message] to use as context when compiling the suggestion. By default 500 and at most 1000.

MinimalConversation

The minimum amount of information required to generate a Summary without having a Conversation resource created.

Fields
messages[]	Message Required. The messages that the Summary will be generated from. It is expected that this message content is already redacted and does not contain any PII. Required fields: {content, language_code, participant, participant_role} Optional fields: {send_time} If send_time is not provided, then the messages must be provided in chronological order.
parent	string Required. The parent resource to charge for the Summary's generation. Format: projects/<Project ID>/locations/<Location ID>.

GenerateStatelessSummaryResponse

The response message for Conversations.GenerateStatelessSummary.

Fields
summary	Summary Generated summary.
latest_message	string The name of the latest conversation message used as context for compiling suggestion. The format is specific to the user and the names of the messages provided.
context_size	int32 Number of messages prior to and including latest_message used to compile the suggestion. It may be smaller than the GenerateStatelessSummaryRequest.max_context_size field in the request if there weren't that many messages in the conversation.

Summary

Generated summary for a conversation.

Fields
text	string The summary content that is concatenated into one string.
text_sections	map<string, string> The summary content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.
baseline_model_version	string The baseline model version used to generate this summary. It is empty if a baseline model was not used to generate this summary.

Generator

LLM generator.

Fields
name	string Output only. Identifier. The resource name of the generator. Format: projects/<Project ID>/locations/<Location ID>/generators/<Generator ID>
description	string Optional. Human readable description of the generator.
inference_parameter	InferenceParameter Optional. Inference parameters for this generator.
trigger_event	TriggerEvent Optional. The trigger event of the generator. It defines when the generator is triggered in a conversation.
create_time	Timestamp Output only. Creation time of this generator.
update_time	Timestamp Output only. Update time of this generator.
Union field context. Required. Input context of the generator. context can be only one of the following:
summarization_context	SummarizationContext Input of prebuilt Summarization feature.

GeneratorSuggestion

Suggestion generated using a Generator.

Fields
Union field suggestion. The suggestion could be one of the many types suggestion can be only one of the following:
summary_suggestion	SummarySuggestion Optional. Suggested summary.

GetAgentRequest

The request message for Agents.GetAgent.

Fields
parent	string Required. The project that the agent to fetch is associated with. Format: projects/<Project ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.agents.get

GetContextRequest

The request message for Contexts.GetContext.

Fields

name

string Required. The name of the context. Format: projects/<Project ID>/agent/sessions/<Session ID>/contexts/<Context ID> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>/contexts/<Context ID>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource name: dialogflow.contexts.get

GetConversationDatasetRequest

The request message for ConversationDatasets.GetConversationDataset.

Fields
name	string Required. The conversation dataset to retrieve. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationDatasets.get

GetConversationModelEvaluationRequest

The request message for ConversationModels.GetConversationModelEvaluation

Fields
name	string Required. The conversation model evaluation resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationModelEvaluations.get

GetConversationModelRequest

The request message for ConversationModels.GetConversationModel

Fields
name	string Required. The conversation model to retrieve. Format: projects/<Project ID>/conversationModels/<Conversation Model ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationModels.get

GetConversationProfileRequest

The request message for ConversationProfiles.GetConversationProfile.

Fields
name	string Required. The resource name of the conversation profile. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationProfiles.get

GetConversationRequest

The request message for Conversations.GetConversation.

Fields
name	string Required. The name of the conversation. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.conversations.get

GetDocumentRequest

Request message for Documents.GetDocument.

Fields
name	string Required. The name of the document to retrieve. Format projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.documents.get

GetEncryptionSpecRequest

The request to get location-level encryption specification.

Fields
name	string Required. The name of the encryption spec resource to get.

GetEntityTypeRequest

The request message for EntityTypes.GetEntityType.

Fields
name	string Required. The name of the entity type. Format: projects/<Project ID>/agent/entityTypes/<EntityType ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.entityTypes.get
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.

GetEnvironmentHistoryRequest

The request message for Environments.GetEnvironmentHistory.

Fields
parent	string Required. The name of the environment to retrieve history for. Supported formats: projects/<Project ID>/agent/environments/<Environment ID> projects/<Project ID>/locations/<Location ID>/agent/environments/<Environment ID> The environment ID for the default environment is -. Authorization requires the following IAM permission on the specified resource parent: dialogflow.environments.getHistory
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

GetEnvironmentRequest

The request message for Environments.GetEnvironment.

Fields
name	string Required. The name of the environment. Supported formats: projects/<Project ID>/agent/environments/<Environment ID> projects/<Project ID>/locations/<Location ID>/agent/environments/<Environment ID> The environment ID for the default environment is -. Authorization requires the following IAM permission on the specified resource name: dialogflow.environments.get

GetFulfillmentRequest

The request message for Fulfillments.GetFulfillment.

Fields
name	string Required. The name of the fulfillment. Format: projects/<Project ID>/agent/fulfillment. Authorization requires the following IAM permission on the specified resource name: dialogflow.fulfillments.get

GetGeneratorRequest

Request message of GetGenerator.

Fields
name	string Required. The generator resource name to retrieve. Format: projects/<Project ID>/locations/<Location ID>/generators/<Generator ID>

GetIntentRequest

The request message for Intents.GetIntent.

Fields
name	string Required. The name of the intent. Format: projects/<Project ID>/agent/intents/<Intent ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.intents.get
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
intent_view	IntentView Optional. The resource view to apply to the returned intent.

GetKnowledgeBaseRequest

Request message for KnowledgeBases.GetKnowledgeBase.

Fields
name	string Required. The name of the knowledge base to retrieve. Format projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.knowledgeBases.get

GetParticipantRequest

The request message for Participants.GetParticipant.

Fields
name	string Required. The name of the participant. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>. Authorization requires the following IAM permission on the specified resource name: dialogflow.participants.get

GetSessionEntityTypeRequest

The request message for SessionEntityTypes.GetSessionEntityType.

Fields

name

string Required. The name of the session entity type. Format: projects/<Project ID>/agent/sessions/<Session ID>/entityTypes/<Entity Type Display Name> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>/entityTypes/<Entity Type Display Name>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource name: dialogflow.sessionEntityTypes.get

GetValidationResultRequest

The request message for Agents.GetValidationResult.

Fields
parent	string Required. The project that the agent is associated with. Format: projects/<Project ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.agents.get
language_code	string Optional. The language for which you want a validation result. If not specified, the agent's default language is used. Many languages are supported. Note: languages must be enabled in the agent before they can be used.

GetVersionRequest

The request message for Versions.GetVersion.

Fields
name	string Required. The name of the version. Supported formats: projects/<Project ID>/agent/versions/<Version ID> projects/<Project ID>/locations/<Location ID>/agent/versions/<Version ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.versions.get

HumanAgentAssistantConfig

Defines the Human Agent Assist to connect to a conversation.

Fields
notification_config	NotificationConfig Pub/Sub topic on which to publish new agent assistant events.
human_agent_suggestion_config	SuggestionConfig Configuration for agent assistance of human agent participant.
end_user_suggestion_config	SuggestionConfig Configuration for agent assistance of end user participant. Currently, this feature is not general available, please contact Google to get access.
message_analysis_config	MessageAnalysisConfig Configuration for message analysis.

ConversationModelConfig

Custom conversation models used in agent assist feature.

Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION.

Fields
model	string Conversation model resource name. Format: projects/<Project ID>/conversationModels/<Model ID>.
baseline_model_version	string Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0

ConversationProcessConfig

Config to process conversation.

Fields
recent_sentences_count	int32 Number of recent non-small-talk sentences to use as context for article and FAQ suggestion

MessageAnalysisConfig

Configuration for analyses to run on each conversation message.

Fields
enable_entity_extraction	bool Enable entity extraction in conversation messages on agent assist stage. If unspecified, defaults to false. Currently, this feature is not general available, please contact Google to get access.
enable_sentiment_analysis	bool Enable sentiment analysis in conversation messages on agent assist stage. If unspecified, defaults to false. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user's attitude as positive, negative, or neutral: https://cloud.google.com/natural-language/docs/basics#sentiment_analysis For Participants.StreamingAnalyzeContent method, result will be in StreamingAnalyzeContentResponse.message.SentimentAnalysisResult. For Participants.AnalyzeContent method, result will be in AnalyzeContentResponse.message.SentimentAnalysisResult For Conversations.ListMessages method, result will be in ListMessagesResponse.messages.SentimentAnalysisResult If Pub/Sub notification is configured, result will be in ConversationEvent.new_message_payload.SentimentAnalysisResult.

SuggestionConfig

Detail human agent assistant config.

Fields
feature_configs[]	SuggestionFeatureConfig Configuration of different suggestion features. One feature can have only one config.
group_suggestion_responses	bool If group_suggestion_responses is false, and there are multiple feature_configs in event based suggestion or StreamingAnalyzeContent, we will try to deliver suggestions to customers as soon as we get new suggestion. Different type of suggestions based on the same context will be in separate Pub/Sub event or StreamingAnalyzeContentResponse. If group_suggestion_responses set to true. All the suggestions to the same participant based on the same context will be grouped into a single Pub/Sub event or StreamingAnalyzeContentResponse.
generators[]	string Optional. List of various generator resource names used in the conversation profile.
disable_high_latency_features_sync_delivery	bool Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST

SuggestionFeatureConfig

Config for suggestion features.

Fields
suggestion_feature	SuggestionFeature The suggestion feature.
enable_event_based_suggestion	bool Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
disable_agent_query_logging	bool Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
enable_query_suggestion_when_no_answer	bool Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
enable_conversation_augmented_query	bool Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
enable_query_suggestion_only	bool Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
suggestion_trigger_settings	SuggestionTriggerSettings Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
query_config	SuggestionQueryConfig Configs of query.
conversation_model_config	ConversationModelConfig Configs of custom conversation model.
conversation_process_config	ConversationProcessConfig Configs for processing conversation.

SuggestionQueryConfig

Config for suggestion query.

Fields
max_results	int32 Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
confidence_threshold	float Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
context_filter_settings	ContextFilterSettings Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
sections	Sections Optional. The customized sections chosen to return when requesting a summary of a conversation.
context_size	int32 Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
Union field query_source. Source of query. query_source can be only one of the following:
knowledge_base_query_source	KnowledgeBaseQuerySource Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
document_query_source	DocumentQuerySource Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
dialogflow_query_source	DialogflowQuerySource Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.

ContextFilterSettings

Settings that determine how to filter recent conversation context when generating suggestions.

Fields
drop_handoff_messages	bool If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
drop_virtual_agent_messages	bool If set to true, all messages from virtual agent are dropped.
drop_ivr_messages	bool If set to true, all messages from ivr stage are dropped.

DialogflowQuerySource

Dialogflow source setting.

Supported feature: DIALOGFLOW_ASSIST.

Fields
agent	string Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: projects/<Project ID>/locations/<Location ID>/agent. When multiple agents are allowed in the same Dialogflow project.
human_agent_side_config	HumanAgentSideConfig Optional. The Dialogflow assist configuration for human agent.

HumanAgentSideConfig

The configuration used for human agent side Dialogflow assist suggestion.

Fields
agent	string Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: projects/<Project ID>/locations/<Location ID>/agent.

DocumentQuerySource

Document source settings.

Supported features: SMART_REPLY, SMART_COMPOSE.

Fields
documents[]	string Required. Knowledge documents to query from. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<KnowledgeBase ID>/documents/<Document ID>. Currently, at most 5 documents are supported.

KnowledgeBaseQuerySource

Knowledge base source settings.

Supported features: ARTICLE_SUGGESTION, FAQ.

Fields
knowledge_bases[]	string Required. Knowledge bases to query. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>. Currently, at most 5 knowledge bases are supported.

Sections

Custom sections to return when requesting a summary of a conversation. This is only supported when baseline_model_version == '2.0'.

Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE.

Fields
section_types[]	SectionType The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.

SectionType

Selectable sections to return when requesting a summary of a conversation.

Enums
SECTION_TYPE_UNSPECIFIED	Undefined section type, does not return anything.
SITUATION	What the customer needs help with or has question about. Section name: "situation".
ACTION	What the agent does to help the customer. Section name: "action".
RESOLUTION	Result of the customer service. A single word describing the result of the conversation. Section name: "resolution".
REASON_FOR_CANCELLATION	Reason for cancellation if the customer requests for a cancellation. "N/A" otherwise. Section name: "reason_for_cancellation".
CUSTOMER_SATISFACTION	"Unsatisfied" or "Satisfied" depending on the customer's feelings at the end of the conversation. Section name: "customer_satisfaction".
ENTITIES	Key entities extracted from the conversation, such as ticket number, order number, dollar amount, etc. Section names are prefixed by "entities/".

SuggestionTriggerSettings

Settings of suggestion trigger.

Fields
no_smalltalk	bool Do not trigger if last utterance is small talk.
only_end_user	bool Only trigger suggestion if participant role of last utterance is END_USER.

HumanAgentAssistantEvent

Represents a notification sent to Cloud Pub/Sub subscribers for human agent assistant events in a specific conversation.

Fields
conversation	string The conversation this notification refers to. Format: projects/<Project ID>/conversations/<Conversation ID>.
participant	string The participant that the suggestion is compiled for. Format: projects/<Project ID>/conversations/<Conversation ID>/participants/<Participant ID>. It will not be set in legacy workflow.
suggestion_results[]	SuggestionResult The suggestion results payload that this notification refers to.

HumanAgentHandoffConfig

Defines the hand off to a live agent, typically on which external agent service provider to connect to a conversation.

Currently, this feature is not general available, please contact Google to get access.

Fields
Union field agent_service. Required. Specifies which agent service to connect for human agent handoff. agent_service can be only one of the following:
live_person_config	LivePersonConfig Uses LivePerson.
salesforce_live_agent_config	SalesforceLiveAgentConfig Uses Salesforce Live Agent.

LivePersonConfig

Configuration specific to LivePerson.

Fields
account_number	string Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.

SalesforceLiveAgentConfig

Configuration specific to Salesforce Live Agent.

Fields
organization_id	string Required. The organization ID of the Salesforce account.
deployment_id	string Required. Live Agent deployment ID.
button_id	string Required. Live Agent chat button ID.
endpoint_domain	string Required. Domain of the Live Agent endpoint for this agent. You can find the endpoint URL in the Live Agent settings page. For example if URL has the form https://d.la4-c2-phx.salesforceliveagent.com/..., you should fill in d.la4-c2-phx.salesforceliveagent.com.

ImportAgentRequest

The request message for Agents.ImportAgent.

Fields
parent	string Required. The project that the agent to import is associated with. Format: projects/<Project ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.agents.import
Union field agent. Required. The agent to import. agent can be only one of the following:
agent_uri	string The URI to a Google Cloud Storage file containing the agent to import. Note: The URI must start with "gs://". Dialogflow performs a read operation for the Cloud Storage object on the caller's behalf, so your request authentication must have read permissions for the object. For more information, see Dialogflow access control.
agent_content	bytes Zip compressed raw byte content for agent.

ImportConversationDataOperationMetadata

Metadata for a ConversationDatasets.ImportConversationData operation.

Fields
conversation_dataset	string The resource name of the imported conversation dataset. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset Id>
partial_failures[]	Status Partial failures are failures that don't fail the whole long running operation, e.g. single files that couldn't be read.
create_time	Timestamp Timestamp when import conversation data request was created. The time is measured on server side.

ImportConversationDataOperationResponse

Response used for ConversationDatasets.ImportConversationData long running operation.

Fields
conversation_dataset	string The resource name of the imported conversation dataset. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset Id>
import_count	int32 Number of conversations imported successfully.

ImportConversationDataRequest

The request message for ConversationDatasets.ImportConversationData.

Fields
name	string Required. Dataset resource name. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationDatasets.import
input_config	InputConfig Required. Configuration describing where to import data from.

ImportDocumentTemplate

The template used for importing documents.

Fields
mime_type	string Required. The MIME type of the document.
knowledge_types[]	KnowledgeType Required. The knowledge type of document content.
metadata	map<string, string> Metadata for the document. The metadata supports arbitrary key-value pairs. Suggested use cases include storing a document's title, an external URL distinct from the document's content_uri, etc. The max size of a key or a value of the metadata is 1024 bytes.

ImportDocumentsRequest

Request message for Documents.ImportDocuments.

Fields
parent	string Required. The knowledge base to import documents into. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.documents.create
document_template	ImportDocumentTemplate Required. Document template used for importing all the documents.
import_gcs_custom_metadata	bool Whether to import custom metadata from Google Cloud Storage. Only valid when the document source is Google Cloud Storage URI.
Union field source. Required. The source to use for importing documents. If the source captures multiple objects, then multiple documents will be created, one corresponding to each object, and all of these documents will be created using the same document template. Dialogflow supports up to 350 documents in each request. If you try to import more, Dialogflow will return an error. source can be only one of the following:
gcs_source	GcsSources Optional. The Google Cloud Storage location for the documents. The path can include a wildcard. These URIs may have the forms gs://<bucket-name>/<object-name>. gs://<bucket-name>/<object-path>/*.<extension>.

ImportDocumentsResponse

Response message for Documents.ImportDocuments.

Fields
warnings[]	Status Includes details about skipped documents or any other warnings.

InferenceParameter

The parameters of inference.

Fields
max_output_tokens	int32 Optional. Maximum number of the output tokens for the generator.
temperature	double Optional. Controls the randomness of LLM predictions. Low temperature = less random. High temperature = more random. If unset (or 0), uses a default value of 0.
top_k	int32 Optional. Top-k changes how the model selects tokens for output. A top-k of 1 means the selected token is the most probable among all tokens in the model's vocabulary (also called greedy decoding), while a top-k of 3 means that the next token is selected from among the 3 most probable tokens (using temperature). For each token selection step, the top K tokens with the highest probabilities are sampled. Then tokens are further filtered based on topP with the final token selected using temperature sampling. Specify a lower value for less random responses and a higher value for more random responses. Acceptable value is [1, 40], default to 40.
top_p	double Optional. Top-p changes how the model selects tokens for output. Tokens are selected from most K (see topK parameter) probable to least until the sum of their probabilities equals the top-p value. For example, if tokens A, B, and C have a probability of 0.3, 0.2, and 0.1 and the top-p value is 0.5, then the model will select either A or B as the next token (using temperature) and doesn't consider C. The default top-p value is 0.95. Specify a lower value for less random responses and a higher value for more random responses. Acceptable value is [0.0, 1.0], default to 0.95.

InitializeEncryptionSpecMetadata

Metadata for initializing a location-level encryption specification.

Fields
request	InitializeEncryptionSpecRequest Output only. The original request for initialization.

InitializeEncryptionSpecRequest

The request to initialize a location-level encryption specification.

Fields
encryption_spec	EncryptionSpec Required. The encryption spec used for CMEK encryption. It is required that the kms key is in the same region as the endpoint. The same key will be used for all provisioned resources, if encryption is available. If the kms_key_name is left empty, no encryption will be enforced.

InitializeEncryptionSpecResponse

This type has no fields.

The response to initialize a location-level encryption specification.

InputAudioConfig

Instructs the speech recognizer how to process the audio content.

Fields
audio_encoding	AudioEncoding Required. Audio encoding of the audio content to process.
sample_rate_hertz	int32 Required. Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details.
language_code	string Required. The language of the supplied audio. Dialogflow does not do translations. See Language Support for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
enable_word_info	bool If true, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
phrase_hints[] (deprecated)	string This item is deprecated! A list of strings containing words and phrases that the speech recognizer should recognize with higher likelihood. See the Cloud Speech documentation for more details. This field is deprecated. Please use speech_contexts instead. If you specify both phrase_hints and speech_contexts, Dialogflow will treat the phrase_hints as a single additional SpeechContext.
speech_contexts[]	SpeechContext Context information to assist speech recognition. See the Cloud Speech documentation for more details.
model	string Optional. Which Speech model to select for the given request. For more information, see Speech models.
model_variant	SpeechModelVariant Which variant of the Speech model to use.
single_utterance	bool If false (default), recognition does not cease until the client closes the stream. If true, the recognizer will detect a single spoken utterance in input audio. Recognition ceases when it detects the audio's voice has stopped or paused. In this case, once a detected intent is received, the client should close the stream and start a new request with a new stream as needed. Note: This setting is relevant only for streaming methods. Note: When specified, InputAudioConfig.single_utterance takes precedence over StreamingDetectIntentRequest.single_utterance.
disable_no_speech_recognized_event	bool Only used in Participants.AnalyzeContent and Participants.StreamingAnalyzeContent. If false and recognition doesn't return any result, trigger NO_SPEECH_RECOGNIZED event to Dialogflow agent.
enable_automatic_punctuation	bool Enable automatic punctuation option at the speech backend.
phrase_sets[]	string A collection of phrase set resources to use for speech adaptation.
opt_out_conformer_model_migration	bool If true, the request will opt out for STT conformer model migration. This field will be deprecated once force migration takes place in June 2024. Please refer to Dialogflow ES Speech model migration.

InputConfig

Represents the configuration of importing a set of conversation files in Google Cloud Storage.

Fields
Union field source. Required. Where the data is from. source can be only one of the following:
gcs_source	GcsSources The Cloud Storage URI has the form gs:////agent*.json. Wildcards are allowed and will be expanded into all matched JSON files, which will be read as one conversation per file.

InputDataset

InputDataset used to create model or do evaluation. NextID:5

Fields
dataset	string Required. ConversationDataset resource name. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset ID>

InputTextConfig

Defines the language used in the input text.

Fields
language_code	string Required. The language of this conversational query. See Language Support for a list of the currently supported language codes.

Intent

An intent categorizes an end-user's intention for one conversation turn. For each agent, you define many intents, where your combined intents can handle a complete conversation. When an end-user writes or says something, referred to as an end-user expression or end-user input, Dialogflow matches the end-user input to the best intent in your agent. Matching an intent is also known as intent classification.

For more information, see the intent guide.

Fields
name	string Optional. The unique identifier of this intent. Required for Intents.UpdateIntent and Intents.BatchUpdateIntents methods. Format: projects/<Project ID>/agent/intents/<Intent ID>.
display_name	string Required. The name of this intent.
webhook_state	WebhookState Optional. Indicates whether webhooks are enabled for the intent.
priority	int32 Optional. The priority of this intent. Higher numbers represent higher priorities. If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the Normal priority in the console. If the supplied value is negative, the intent is ignored in runtime detect intent requests.
is_fallback	bool Optional. Indicates whether this is a fallback intent.
ml_disabled	bool Optional. Indicates whether Machine Learning is disabled for the intent. Note: If ml_disabled setting is set to true, then this intent is not taken into account during inference in ML ONLY match mode. Also, auto-markup in the UI is turned off.
live_agent_handoff	bool Optional. Indicates that a live agent should be brought in to handle the interaction with the user. In most cases, when you set this flag to true, you would also want to set end_interaction to true as well. Default is false.
end_interaction	bool Optional. Indicates that this intent ends an interaction. Some integrations (e.g., Actions on Google or Dialogflow phone gateway) use this information to close interaction with an end user. Default is false.
input_context_names[]	string Optional. The list of context names required for this intent to be triggered. Format: projects/<Project ID>/agent/sessions/-/contexts/<Context ID>.
events[]	string Optional. The collection of event names that trigger the intent. If the collection of input contexts is not empty, all of the contexts must be present in the active user session for an event to trigger this intent. Event names are limited to 150 characters.
training_phrases[]	TrainingPhrase Optional. The collection of examples that the agent is trained on.
action	string Optional. The name of the action associated with the intent. Note: The action name must not contain whitespaces.
output_contexts[]	Context Optional. The collection of contexts that are activated when the intent is matched. Context messages in this collection should not set the parameters field. Setting the lifespan_count to 0 will reset the context when the intent is matched. Format: projects/<Project ID>/agent/sessions/-/contexts/<Context ID>.
reset_contexts	bool Optional. Indicates whether to delete all contexts in the current session when this intent is matched.
parameters[]	Parameter Optional. The collection of parameters associated with the intent.
messages[]	Message Optional. The collection of rich messages corresponding to the Response field in the Dialogflow console.
default_response_platforms[]	Platform Optional. The list of platforms for which the first responses will be copied from the messages in PLATFORM_UNSPECIFIED (i.e. default platform).
root_followup_intent_name	string Output only. Read-only. The unique identifier of the root intent in the chain of followup intents. It identifies the correct followup intents chain for this intent. We populate this field only in the output. Format: projects/<Project ID>/agent/intents/<Intent ID>.
parent_followup_intent_name	string Read-only after creation. The unique identifier of the parent intent in the chain of followup intents. You can set this field when creating an intent, for example with CreateIntent or BatchUpdateIntents, in order to make this intent a followup intent. It identifies the parent followup intent. Format: projects/<Project ID>/agent/intents/<Intent ID>.
followup_intent_info[]	FollowupIntentInfo Output only. Read-only. Information about all followup intents that have this intent as a direct or indirect parent. We populate this field only in the output.

FollowupIntentInfo

Represents a single followup intent in the chain.

Fields
followup_intent_name	string The unique identifier of the followup intent. Format: projects/<Project ID>/agent/intents/<Intent ID>.
parent_followup_intent_name	string The unique identifier of the followup intent's parent. Format: projects/<Project ID>/agent/intents/<Intent ID>.

Message

A rich response message. Corresponds to the intent Response field in the Dialogflow console. For more information, see Rich response messages.

Fields
platform	Platform Optional. The platform that this message is intended for.
Union field message. Required. The rich response message. message can be only one of the following:
text	Text The text response.
image	Image The image response.
quick_replies	QuickReplies The quick replies response.
card	Card The card response.
payload	Struct A custom platform-specific response.
simple_responses	SimpleResponses The voice and text-only responses for Actions on Google.
basic_card	BasicCard The basic card response for Actions on Google.
suggestions	Suggestions The suggestion chips for Actions on Google.
link_out_suggestion	LinkOutSuggestion The link out suggestion chip for Actions on Google.
list_select	ListSelect The list card response for Actions on Google.
carousel_select	CarouselSelect The carousel card response for Actions on Google.
browse_carousel_card	BrowseCarouselCard Browse carousel card for Actions on Google.
table_card	TableCard Table card for Actions on Google.
media_content	MediaContent The media content card for Actions on Google.

BasicCard

The basic card message. Useful for displaying information.

Fields
title	string Optional. The title of the card.
subtitle	string Optional. The subtitle of the card.
formatted_text	string Required, unless image is present. The body text of the card.
image	Image Optional. The image for the card.
buttons[]	Button Optional. The collection of card buttons.

Button

The button object that appears at the bottom of a card.

Fields
title	string Required. The title of the button.
open_uri_action	OpenUriAction Required. Action to take when a user taps on the button.

OpenUriAction

Opens the given URI.

Fields
uri	string Required. The HTTP or HTTPS scheme URI.

BrowseCarouselCard

Browse Carousel Card for Actions on Google. https://developers.google.com/actions/assistant/responses#browsing_carousel

Fields
items[]	BrowseCarouselCardItem Required. List of items in the Browse Carousel Card. Minimum of two items, maximum of ten.
image_display_options	ImageDisplayOptions Optional. Settings for displaying the image. Applies to every image in items.

BrowseCarouselCardItem

Browsing carousel tile

Fields
open_uri_action	OpenUrlAction Required. Action to present to the user.
title	string Required. Title of the carousel item. Maximum of two lines of text.
description	string Optional. Description of the carousel item. Maximum of four lines of text.
image	Image Optional. Hero image for the carousel item.
footer	string Optional. Text that appears at the bottom of the Browse Carousel Card. Maximum of one line of text.

OpenUrlAction

Actions on Google action to open a given url.

Fields
url	string Required. URL
url_type_hint	UrlTypeHint Optional. Specifies the type of viewer that is used when opening the URL. Defaults to opening via web browser.

UrlTypeHint

Type of the URI.

Enums
URL_TYPE_HINT_UNSPECIFIED	Unspecified
AMP_ACTION	Url would be an amp action
AMP_CONTENT	URL that points directly to AMP content, or to a canonical URL which refers to AMP content via .

ImageDisplayOptions

Image display options for Actions on Google. This should be used for when the image's aspect ratio does not match the image container's aspect ratio.

Enums
IMAGE_DISPLAY_OPTIONS_UNSPECIFIED	Fill the gaps between the image and the image container with gray bars.
GRAY	Fill the gaps between the image and the image container with gray bars.
WHITE	Fill the gaps between the image and the image container with white bars.
CROPPED	Image is scaled such that the image width and height match or exceed the container dimensions. This may crop the top and bottom of the image if the scaled image height is greater than the container height, or crop the left and right of the image if the scaled image width is greater than the container width. This is similar to "Zoom Mode" on a widescreen TV when playing a 4:3 video.
BLURRED_BACKGROUND	Pad the gaps between image and image frame with a blurred copy of the same image.

Card

The card response message.

Fields
title	string Optional. The title of the card.
subtitle	string Optional. The subtitle of the card.
image_uri	string Optional. The public URI to an image file for the card.
buttons[]	Button Optional. The collection of card buttons.

Button

Contains information about a button.

Fields
text	string Optional. The text to show on the button.
postback	string Optional. The text to send back to the Dialogflow API or a URI to open.

CarouselSelect

The card for presenting a carousel of options to select from.

Fields
items[]	Item Required. Carousel items.

Item

An item in the carousel.

Fields
info	SelectItemInfo Required. Additional info about the option item.
title	string Required. Title of the carousel item.
description	string Optional. The body text of the card.
image	Image Optional. The image to display.

ColumnProperties

Column properties for TableCard.

Fields
header	string Required. Column heading.
horizontal_alignment	HorizontalAlignment Optional. Defines text alignment for all cells in this column.

HorizontalAlignment

Text alignments within a cell.

Enums
HORIZONTAL_ALIGNMENT_UNSPECIFIED	Text is aligned to the leading edge of the column.
LEADING	Text is aligned to the leading edge of the column.
CENTER	Text is centered in the column.
TRAILING	Text is aligned to the trailing edge of the column.

Image

The image response message.

Fields
image_uri	string Optional. The public URI to an image file.
accessibility_text	string Optional. A text description of the image to be used for accessibility, e.g., screen readers.

LinkOutSuggestion

The suggestion chip message that allows the user to jump out to the app or website associated with this agent.

Fields
destination_name	string Required. The name of the app or site this chip is linking to.
uri	string Required. The URI of the app or site to open when the user taps the suggestion chip.

ListSelect

The card for presenting a list of options to select from.

Fields
title	string Optional. The overall title of the list.
items[]	Item Required. List items.
subtitle	string Optional. Subtitle of the list.

Item

An item in the list.

Fields
info	SelectItemInfo Required. Additional information about this option.
title	string Required. The title of the list item.
description	string Optional. The main text describing the item.
image	Image Optional. The image to display.

MediaContent

The media content card for Actions on Google.

Fields
media_type	ResponseMediaType Optional. What type of media is the content (ie "audio").
media_objects[]	ResponseMediaObject Required. List of media objects.

ResponseMediaObject

Response media object for media content card.

Fields
name	string Required. Name of media card.
description	string Optional. Description of media card.
content_url	string Required. Url where the media is stored.
Union field image. Image to show with the media card. image can be only one of the following:
large_image	Image Optional. Image to display above media content.
icon	Image Optional. Icon to display above media content.

ResponseMediaType

Format of response media type.

Enums
RESPONSE_MEDIA_TYPE_UNSPECIFIED	Unspecified.
AUDIO	Response media type is audio.

Platform

The rich response message integration platform. See Integrations.

Enums
PLATFORM_UNSPECIFIED	Default platform.
FACEBOOK	Facebook.
SLACK	Slack.
TELEGRAM	Telegram.
KIK	Kik.
SKYPE	Skype.
LINE	Line.
VIBER	Viber.
ACTIONS_ON_GOOGLE	Google Assistant See Dialogflow webhook format
GOOGLE_HANGOUTS	Google Hangouts.

QuickReplies

The quick replies response message.

Fields
title	string Optional. The title of the collection of quick replies.
quick_replies[]	string Optional. The collection of quick replies.

SelectItemInfo

Additional info about the select item for when it is triggered in a dialog.

Fields
key	string Required. A unique key that will be sent back to the agent if this response is given.
synonyms[]	string Optional. A list of synonyms that can also be used to trigger this item in dialog.

SimpleResponse

The simple response message containing speech or text.

Fields
text_to_speech	string One of text_to_speech or ssml must be provided. The plain text of the speech output. Mutually exclusive with ssml.
ssml	string One of text_to_speech or ssml must be provided. Structured spoken response to the user in the SSML format. Mutually exclusive with text_to_speech.
display_text	string Optional. The text to display.

SimpleResponses

The collection of simple response candidates. This message in QueryResult.fulfillment_messages and WebhookResponse.fulfillment_messages should contain only one SimpleResponse.

Fields
simple_responses[]	SimpleResponse Required. The list of simple responses.

Suggestion

The suggestion chip message that the user can tap to quickly post a reply to the conversation.

Fields
title	string Required. The text shown the in the suggestion chip.

Suggestions

The collection of suggestions.

Fields
suggestions[]	Suggestion Required. The list of suggested replies.

TableCard

Table card for Actions on Google.

Fields
title	string Required. Title of the card.
subtitle	string Optional. Subtitle to the title.
image	Image Optional. Image which should be displayed on the card.
column_properties[]	ColumnProperties Optional. Display properties for the columns in this table.
rows[]	TableCardRow Optional. Rows in this table of data.
buttons[]	Button Optional. List of buttons for the card.

TableCardCell

Cell of TableCardRow.

Fields
text	string Required. Text in this cell.

TableCardRow

Row of TableCard.

Fields
cells[]	TableCardCell Optional. List of cells that make up this row.
divider_after	bool Optional. Whether to add a visual divider after this row.

Text

The text response message.

Fields
text[]	string Optional. The collection of the agent's responses.

Parameter

Represents intent parameters.

Fields
name	string The unique identifier of this parameter.
display_name	string Required. The name of the parameter.
value	string Optional. The definition of the parameter value. It can be: a constant string, a parameter value defined as $parameter_name, an original parameter value defined as $parameter_name.original, a parameter value from some context defined as #context_name.parameter_name.
default_value	string Optional. The default value to use when the value yields an empty result. Default values can be extracted from contexts by using the following syntax: #context_name.parameter_name.
entity_type_display_name	string Optional. The name of the entity type, prefixed with @, that describes values of the parameter. If the parameter is required, this must be provided.
mandatory	bool Optional. Indicates whether the parameter is required. That is, whether the intent cannot be completed without collecting the parameter value.
prompts[]	string Optional. The collection of prompts that the agent can present to the user in order to collect a value for the parameter.
is_list	bool Optional. Indicates whether the parameter represents a list of values.

TrainingPhrase

Represents an example that the agent is trained on.

Fields
name	string Output only. The unique identifier of this training phrase.
type	Type Required. The type of the training phrase.
parts[]	Part Required. The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: Part.text is set to a part of the phrase that has no parameters. Part.text is set to a part of the phrase that you want to annotate, and the entity_type, alias, and user_defined fields are all set.
times_added_count	int32 Optional. Indicates how many times this example was added to the intent. Each time a developer adds an existing sample by editing an intent or training, this counter is increased.

Part

Represents a part of a training phrase.

Fields
text	string Required. The text for this part.
entity_type	string Optional. The entity type name prefixed with @. This field is required for annotated parts of the training phrase.
alias	string Optional. The parameter name for the value extracted from the annotated part of the example. This field is required for annotated parts of the training phrase.
user_defined	bool Optional. Indicates whether the text was manually annotated. This field is set to true when the Dialogflow Console is used to manually annotate the part. When creating an annotated part with the API, you must set this to true.

Type

Represents different types of training phrases.

Enums
TYPE_UNSPECIFIED	Not specified. This value should never be used.
EXAMPLE	Examples do not contain @-prefixed entity type names, but example parts can be annotated with entity types.
TEMPLATE	Templates are not annotated with entity types, but they can contain @-prefixed entity type names as substrings. Template mode has been deprecated. Example mode is the only supported way to create new training phrases. If you have existing training phrases that you've created in template mode, those will continue to work. This item is deprecated!

WebhookState

Represents the different states that webhooks can be in.

Enums
WEBHOOK_STATE_UNSPECIFIED	Webhook is disabled in the agent and in the intent.
WEBHOOK_STATE_ENABLED	Webhook is enabled in the agent and in the intent.
WEBHOOK_STATE_ENABLED_FOR_SLOT_FILLING	Webhook is enabled in the agent and in the intent. Also, each slot filling prompt is forwarded to the webhook.

IntentBatch

This message is a wrapper around a collection of intents.

Fields
intents[]	Intent A collection of intents.

IntentSuggestion

Represents an intent suggestion.

Fields
display_name	string The display name of the intent.
description	string Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
Union field intent. The name of the intent. intent can be only one of the following:
intent_v2	string The unique identifier of this intent. Format: projects/<Project ID>/locations/<Location ID>/agent/intents/<Intent ID>.

IntentView

Represents the options for views of an intent. An intent can be a sizable object. Therefore, we provide a resource view that does not return training phrases in the response by default.

Enums
INTENT_VIEW_UNSPECIFIED	Training phrases field is not populated in the response.
INTENT_VIEW_FULL	All fields are populated.

KnowledgeAssistAnswer

Represents a Knowledge Assist answer.

Fields
suggested_query	SuggestedQuery The query suggested based on the context. Suggestion is made only if it is different from the previous suggestion.
suggested_query_answer	KnowledgeAnswer The answer generated for the suggested query. Whether or not an answer is generated depends on how confident we are about the generated query.
answer_record	string The name of the answer record. Format: projects/<Project ID>/locations/<location ID>/answer Records/<Answer Record ID>.

KnowledgeAnswer

Represents an answer from Knowledge. Currently supports FAQ and Generative answers.

Fields
answer_text	string The piece of text from the source that answers this suggested query.
Union field source. Source of result. source can be only one of the following:
faq_source	FaqSource Populated if the prediction came from FAQ.
generative_source	GenerativeSource Populated if the prediction was Generative.

FaqSource

Details about source of FAQ answer.

Fields
question	string The corresponding FAQ question.

GenerativeSource

Details about source of Generative answer.

Fields
snippets[]	Snippet All snippets used for this Generative Prediction, with their source URI and data.

Snippet

Snippet Source for a Generative Prediction.

Fields
uri	string URI the data is sourced from.
text	string Text taken from that URI.
title	string Title of the document.
metadata	Struct Metadata of the document.

SuggestedQuery

Represents a suggested query.

Fields
query_text	string Suggested query text.

KnowledgeBase

A knowledge base represents a collection of knowledge documents that you provide to Dialogflow. Your knowledge documents contain information that may be useful during conversations with end-users. Some Dialogflow features use knowledge bases when looking for a response to an end-user input.

For more information, see the knowledge base guide.

Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.

Fields
name	string The knowledge base resource name. The name must be empty when creating a knowledge base. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>.
display_name	string Required. The display name of the knowledge base. The name must be 1024 bytes or less; otherwise, the creation request fails.
language_code	string Language which represents the KnowledgeBase. When the KnowledgeBase is created/updated, expect this to be present for non en-us languages. When unspecified, the default language code en-us applies.

KnowledgeOperationMetadata

Metadata in google::longrunning::Operation for Knowledge operations.

Fields
state	State Output only. The current state of this operation.
knowledge_base	string The name of the knowledge base interacted with during the operation.
Union field operation_metadata. Additional metadata for the Knowledge operation. operation_metadata can be only one of the following:
export_operation_metadata	ExportOperationMetadata Metadata for the Export Data Operation such as the destination of export.

State

States of the operation.

Enums
STATE_UNSPECIFIED	State unspecified.
PENDING	The operation has been created.
RUNNING	The operation is currently running.
DONE	The operation is done, either cancelled or completed.

ListAnswerRecordsRequest

Request message for AnswerRecords.ListAnswerRecords.

Fields
parent	string Required. The project to list all answer records for in reverse chronological order. Format: projects/<Project ID>/locations/<Location ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.answerrecords.list
filter (deprecated)	string This item is deprecated! Optional. Filters to restrict results to specific answer records. Marked deprecated as it hasn't been, and isn't currently, supported. For more information about filtering, see API Filtering.
page_size	int32 Optional. The maximum number of records to return in a single page. The server may return fewer records than this. If unspecified, we use 10. The maximum is 100.
page_token	string Optional. The ListAnswerRecordsResponse.next_page_token value returned from a previous list request used to continue listing on the next page.

ListAnswerRecordsResponse

Response message for AnswerRecords.ListAnswerRecords.

Fields
answer_records[]	AnswerRecord The list of answer records.
next_page_token	string A token to retrieve next page of results. Or empty if there are no more results. Pass this value in the ListAnswerRecordsRequest.page_token field in the subsequent call to ListAnswerRecords method to retrieve the next page of results.

ListContextsRequest

The request message for Contexts.ListContexts.

Fields
parent	string Required. The session to list all contexts from. Format: projects/<Project ID>/agent/sessions/<Session ID> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource parent: dialogflow.contexts.list
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListContextsResponse

The response message for Contexts.ListContexts.

Fields
contexts[]	Context The list of contexts. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListConversationDatasetsRequest

The request message for ConversationDatasets.ListConversationDatasets.

Fields
parent	string Required. The project and location name to list all conversation datasets for. Format: projects/<Project ID>/locations/<Location ID> Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversationDatasets.list
page_size	int32 Optional. Maximum number of conversation datasets to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListConversationDatasetsResponse

The response message for ConversationDatasets.ListConversationDatasets.

Fields
conversation_datasets[]	ConversationDataset The list of datasets to return.
next_page_token	string The token to use to retrieve the next page of results, or empty if there are no more results in the list.

ListConversationModelEvaluationsRequest

The request message for ConversationModels.ListConversationModelEvaluations

Fields
parent	string Required. The conversation model resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID> Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversationModelEvaluations.list
page_size	int32 Optional. Maximum number of evaluations to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListConversationModelEvaluationsResponse

The response message for ConversationModels.ListConversationModelEvaluations

Fields
conversation_model_evaluations[]	ConversationModelEvaluation The list of evaluations to return.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListConversationModelsRequest

The request message for ConversationModels.ListConversationModels

Fields
parent	string Required. The project to list all conversation models for. Format: projects/<Project ID> Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversationModels.list
page_size	int32 Optional. Maximum number of conversation models to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListConversationModelsResponse

The response message for ConversationModels.ListConversationModels

Fields
conversation_models[]	ConversationModel The list of models to return.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListConversationProfilesRequest

The request message for ConversationProfiles.ListConversationProfiles.

Fields
parent	string Required. The project to list all conversation profiles from. Format: projects/<Project ID>/locations/<Location ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversationProfiles.list
page_size	int32 The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string The next_page_token value returned from a previous list request.

ListConversationProfilesResponse

The response message for ConversationProfiles.ListConversationProfiles.

Fields
conversation_profiles[]	ConversationProfile The list of project conversation profiles. There is a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListConversationsRequest

The request message for Conversations.ListConversations.

Fields
parent	string Required. The project from which to list all conversation. Format: projects/<Project ID>/locations/<Location ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.conversations.list
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.
filter	string Optional. A filter expression that filters conversations listed in the response. Only lifecycle_state can be filtered on in this way. For example, the following expression only returns COMPLETED conversations: lifecycle_state = "COMPLETED" For more information about filtering, see API Filtering.

ListConversationsResponse

The response message for Conversations.ListConversations.

Fields
conversations[]	Conversation The list of conversations. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListDocumentsRequest

Request message for Documents.ListDocuments.

Fields
parent	string Required. The knowledge base to list all documents for. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.documents.list
page_size	int32 The maximum number of items to return in a single page. By default 10 and at most 100.
page_token	string The next_page_token value returned from a previous list request.
filter	string The filter expression used to filter documents returned by the list method. The expression has the following syntax: [AND ] ... The following fields and operators are supported: knowledge_types with has(:) operator display_name with has(:) operator state with equals(=) operator Examples: "knowledge_types:FAQ" matches documents with FAQ knowledge type. "display_name:customer" matches documents whose display name contains "customer". "state=ACTIVE" matches documents with ACTIVE state. "knowledge_types:FAQ AND state=ACTIVE" matches all active FAQ documents. For more information about filtering, see API Filtering.

ListDocumentsResponse

Response message for Documents.ListDocuments.

Fields
documents[]	Document The list of documents.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListEntityTypesRequest

The request message for EntityTypes.ListEntityTypes.

Fields
parent	string Required. The agent to list all entity types from. Format: projects/<Project ID>/agent. Authorization requires the following IAM permission on the specified resource parent: dialogflow.entityTypes.list
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListEntityTypesResponse

The response message for EntityTypes.ListEntityTypes.

Fields
entity_types[]	EntityType The list of agent entity types. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListEnvironmentsRequest

The request message for Environments.ListEnvironments.

Fields
parent	string Required. The agent to list all environments from. Format: projects/<Project ID>/agent projects/<Project ID>/locations/<Location ID>/agent Authorization requires the following IAM permission on the specified resource parent: dialogflow.environments.list
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListEnvironmentsResponse

The response message for Environments.ListEnvironments.

Fields
environments[]	Environment The list of agent environments. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListGeneratorsRequest

Request message of ListGenerators.

Fields
parent	string Required. The project/location to list generators for. Format: projects/<Project ID>/locations/<Location ID>
page_size	int32 Optional. Maximum number of conversation models to return in a single page. Default to 10.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListGeneratorsResponse

Response of ListGenerators.

Fields
generators[]	Generator List of generators retrieved.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListIntentsRequest

The request message for Intents.ListIntents.

Fields
parent	string Required. The agent to list all intents from. Format: projects/<Project ID>/agent or projects/<Project ID>/locations/<Location ID>/agent. Alternatively, you can specify the environment to list intents for. Format: projects/<Project ID>/agent/environments/<Environment ID> or projects/<Project ID>/locations/<Location ID>/agent/environments/<Environment ID>. Note: training phrases of the intents will not be returned for non-draft environment. Authorization requires the following IAM permission on the specified resource parent: dialogflow.intents.list
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
intent_view	IntentView Optional. The resource view to apply to the returned intent.
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListIntentsResponse

The response message for Intents.ListIntents.

Fields
intents[]	Intent The list of agent intents. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListKnowledgeBasesRequest

Request message for KnowledgeBases.ListKnowledgeBases.

Fields
parent	string Required. The project to list of knowledge bases for. Format: projects/<Project ID>/locations/<Location ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.knowledgeBases.list
page_size	int32 The maximum number of items to return in a single page. By default 10 and at most 100.
page_token	string The next_page_token value returned from a previous list request.
filter	string The filter expression used to filter knowledge bases returned by the list method. The expression has the following syntax: [AND ] ... The following fields and operators are supported: display_name with has(:) operator language_code with equals(=) operator Examples: 'language_code=en-us' matches knowledge bases with en-us language code. 'display_name:articles' matches knowledge bases whose display name contains "articles". 'display_name:"Best Articles"' matches knowledge bases whose display name contains "Best Articles". 'language_code=en-gb AND display_name=articles' matches all knowledge bases whose display name contains "articles" and whose language code is "en-gb". Note: An empty filter string (i.e. "") is a no-op and will result in no filtering. For more information about filtering, see API Filtering.

ListKnowledgeBasesResponse

Response message for KnowledgeBases.ListKnowledgeBases.

Fields
knowledge_bases[]	KnowledgeBase The list of knowledge bases.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListMessagesRequest

The request message for Conversations.ListMessages.

Fields
parent	string Required. The name of the conversation to list messages for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID> Authorization requires the following IAM permission on the specified resource parent: dialogflow.messages.list
filter	string Optional. Filter on message fields. Currently predicates on create_time and create_time_epoch_microseconds are supported. create_time only support milliseconds accuracy. E.g., create_time_epoch_microseconds > 1551790877964485 or create_time > 2017-01-15T01:30:15.01Z. For more information about filtering, see API Filtering.
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListMessagesResponse

The response message for Conversations.ListMessages.

Fields
messages[]	Message The list of messages. There will be a maximum number of items returned based on the page_size field in the request. messages is sorted by create_time in descending order.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListParticipantsRequest

The request message for Participants.ListParticipants.

Fields
parent	string Required. The conversation to list all participants from. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.participants.list
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListParticipantsResponse

The response message for Participants.ListParticipants.

Fields
participants[]	Participant The list of participants. There is a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results or empty if there are no more results in the list.

ListSessionEntityTypesRequest

The request message for SessionEntityTypes.ListSessionEntityTypes.

Fields
parent	string Required. The session to list all session entity types from. Format: projects/<Project ID>/agent/sessions/<Session ID> or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/ sessions/<Session ID>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. Authorization requires the following IAM permission on the specified resource parent: dialogflow.sessionEntityTypes.list
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListSessionEntityTypesResponse

The response message for SessionEntityTypes.ListSessionEntityTypes.

Fields
session_entity_types[]	SessionEntityType The list of session entity types. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

ListVersionsRequest

The request message for Versions.ListVersions.

Fields
parent	string Required. The agent to list all versions from. Supported formats: projects/<Project ID>/agent projects/<Project ID>/locations/<Location ID>/agent Authorization requires the following IAM permission on the specified resource parent: dialogflow.versions.list
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string Optional. The next_page_token value returned from a previous list request.

ListVersionsResponse

The response message for Versions.ListVersions.

Fields
versions[]	Version The list of agent versions. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

LoggingConfig

Defines logging behavior for conversation lifecycle events.

Fields
enable_stackdriver_logging	bool Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.

Message

Represents a message posted into a conversation.

Fields
name	string Optional. The unique identifier of the message. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
content	string Required. The message content.
language_code	string Optional. The message language. This should be a BCP-47 language tag. Example: "en-US".
participant	string Output only. The participant that sends this message.
participant_role	Role Output only. The role of the participant.
create_time	Timestamp Output only. The time when the message was created in Contact Center AI.
send_time	Timestamp Optional. The time when the message was sent.
message_annotation	MessageAnnotation Output only. The annotation for the message.
sentiment_analysis	SentimentAnalysisResult Output only. The sentiment analysis result for the message.

MessageAnnotation

Represents the result of annotation for the message.

Fields
parts[]	AnnotatedMessagePart The collection of annotated message parts ordered by their position in the message. You can recover the annotated message by concatenating [AnnotatedMessagePart.text].
contain_entities	bool Indicates whether the text message contains entities.

MessageEntry

Represents a message entry of a conversation.

Fields
role	Role Optional. Participant role of the message.
text	string Optional. Transcript content of the message.
language_code	string Optional. The language of the text. See Language Support for a list of the currently supported language codes.
create_time	Timestamp Optional. Create time of the message entry.

Role

Enumeration of the roles a participant can play in a conversation.

Enums
ROLE_UNSPECIFIED	Participant role not set.
HUMAN_AGENT	Participant is a human agent.
AUTOMATED_AGENT	Participant is an automated agent, such as a Dialogflow agent.
END_USER	Participant is an end user that has called or chatted with Dialogflow services.

NotificationConfig

Defines notification behavior.

Fields
topic	string Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic is in the same project as the conversation or you grant service-<Conversation Project Number>@gcp-sa-dialogflow.iam.gserviceaccount.com the Dialogflow Service Agent role in the topic project. For chat integration to receive notification, make sure API caller has been granted the Dialogflow Service Agent role for the topic. Format: projects/<Project ID>/locations/<Location ID>/topics/<Topic ID>.
message_format	MessageFormat Format of message.

MessageFormat

Format of cloud pub/sub message.

Enums
MESSAGE_FORMAT_UNSPECIFIED	If it is unspecified, PROTO will be used.
PROTO	Pub/Sub message will be serialized proto.
JSON	Pub/Sub message will be json.

OriginalDetectIntentRequest

Represents the contents of the original request that was passed to the [Streaming]DetectIntent call.

Fields
source	string The source of this request, e.g., google, facebook, slack. It is set by Dialogflow-owned servers.
version	string Optional. The version of the protocol used for this request. This field is AoG-specific.
payload	Struct Optional. This field is set to the value of the QueryParameters.payload field passed in the request. Some integrations that query a Dialogflow agent may provide additional information in the payload. In particular, for the Dialogflow Phone Gateway integration, this field has the form: { "telephony": { "caller_id": "[phone]" } } Note: The caller ID field (caller_id) will be redacted for Trial Edition agents and populated with the caller ID in E.164 format for Essentials Edition agents.

OutputAudio

Represents the natural language speech audio to be played to the end user.

Fields
config	OutputAudioConfig Instructs the speech synthesizer how to generate the speech audio.
audio	bytes The natural language speech audio.

OutputAudioConfig

Instructs the speech synthesizer on how to generate the output audio content. If this audio config is supplied in a request, it overrides all existing text-to-speech settings applied to the agent.

Fields
audio_encoding	OutputAudioEncoding Required. Audio encoding of the synthesized audio content.
sample_rate_hertz	int32 The synthesis sample rate (in hertz) for this audio. If not provided, then the synthesizer will use the default sample rate based on the audio encoding. If this is different from the voice's natural sample rate, then the synthesizer will honor this request by converting to the desired sample rate (which might result in worse audio quality).
synthesize_speech_config	SynthesizeSpeechConfig Configuration of how speech should be synthesized.

OutputAudioEncoding

Audio encoding of the output audio format in Text-To-Speech.

Enums
OUTPUT_AUDIO_ENCODING_UNSPECIFIED	Not specified.
OUTPUT_AUDIO_ENCODING_LINEAR_16	Uncompressed 16-bit signed little-endian samples (Linear PCM). Audio content returned as LINEAR16 also contains a WAV header.
OUTPUT_AUDIO_ENCODING_MP3	MP3 audio at 32kbps.
OUTPUT_AUDIO_ENCODING_MP3_64_KBPS	MP3 audio at 64kbps.
OUTPUT_AUDIO_ENCODING_OGG_OPUS	Opus encoded audio wrapped in an ogg container. The result will be a file which can be played natively on Android, and in browsers (at least Chrome and Firefox). The quality of the encoding is considerably higher than MP3 while using approximately the same bitrate.
OUTPUT_AUDIO_ENCODING_MULAW	8-bit samples that compand 14-bit audio samples using G.711 PCMU/mu-law.
OUTPUT_AUDIO_ENCODING_ALAW	8-bit samples that compand 13-bit audio samples using G.711 PCMU/a-law.

Participant

Represents a conversation participant (human agent, virtual agent, end-user).

Fields
name	string Optional. The unique identifier of this participant. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>.
role	Role Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.
sip_recording_media_label	string Optional. Label applied to streams representing this participant in SIPREC XML metadata and SDP. This is used to assign transcriptions from that media stream to this participant. This field can be updated.
obfuscated_external_user_id	string Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow returns an error if you try to add a user id for a non-END_USER participant. Dialogflow uses this user id for billing and measurement purposes. For example, Dialogflow determines whether a user in one conversation returned in a later conversation. Note: Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. The length of the user id must be <= 256 characters.
documents_metadata_filters	map<string, string> Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" }

Role

Enumeration of the roles a participant can play in a conversation.

Enums
ROLE_UNSPECIFIED	Participant role not set.
HUMAN_AGENT	Participant is a human agent.
AUTOMATED_AGENT	Participant is an automated agent, such as a Dialogflow agent.
END_USER	Participant is an end user that has called or chatted with Dialogflow services.

QueryInput

Represents the query input. It can contain either:

1. An audio config which instructs the speech recognizer how to process the speech audio.

2. A conversational query in the form of text.

3. An event that specifies which intent to trigger.

Fields
Union field input. Required. The input specification. input can be only one of the following:
audio_config	InputAudioConfig Instructs the speech recognizer how to process the speech audio.
text	TextInput The natural language text to be processed. Text length must not exceed 256 character for virtual agent interactions.
event	EventInput The event to be processed.

QueryParameters

Represents the parameters of the conversational query.

Fields
time_zone	string The time zone of this conversational query from the time zone database, e.g., America/New_York, Europe/Paris. If not provided, the time zone specified in agent settings is used.
geo_location	LatLng The geo location of this conversational query.
contexts[]	Context The collection of contexts to be activated before this query is executed.
reset_contexts	bool Specifies whether to delete all contexts in the current session before the new ones are activated.
session_entity_types[]	SessionEntityType Additional session entity types to replace or extend developer entity types with. The entity synonyms apply to all languages and persist for the session of this query.
payload	Struct This field can be used to pass custom data to your webhook. Arbitrary JSON objects are supported. If supplied, the value is used to populate the WebhookRequest.original_detect_intent_request.payload field sent to your webhook.
sentiment_analysis_request_config	SentimentAnalysisRequestConfig Configures the type of sentiment analysis to perform. If not provided, sentiment analysis is not performed.
webhook_headers	map<string, string> This field can be used to pass HTTP headers for a webhook call. These headers will be sent to webhook along with the headers that have been configured through the Dialogflow web console. The headers defined within this field will overwrite the headers configured through the Dialogflow console if there is a conflict. Header names are case-insensitive. Google's specified headers are not allowed. Including: "Host", "Content-Length", "Connection", "From", "User-Agent", "Accept-Encoding", "If-Modified-Since", "If-None-Match", "X-Forwarded-For", etc.
platform	string The platform of the virtual agent response messages. If not empty, only emits messages from this platform in the response. Valid values are the enum names of platform.

QueryResult

Represents the result of conversational query or event processing.

Fields
query_text	string The original conversational query text: If natural language text was provided as input, query_text contains a copy of the input. If natural language speech audio was provided as input, query_text contains the speech recognition result. If speech recognizer produced multiple alternatives, a particular one is picked. If automatic spell correction is enabled, query_text will contain the corrected user input.
language_code	string The language that was triggered during intent detection. See Language Support for a list of the currently supported language codes.
speech_recognition_confidence	float The Speech recognition confidence between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. The default of 0.0 is a sentinel value indicating that confidence was not set. This field is not guaranteed to be accurate or set. In particular this field isn't set for [StreamingDetectIntent][] since the streaming endpoint has separate confidence estimates per portion of the audio in StreamingRecognitionResult.
action	string The action name from the matched intent.
parameters	Struct The collection of extracted parameters. Depending on your protocol or client library language, this is a map, associative array, symbol table, dictionary, or JSON object composed of a collection of (MapKey, MapValue) pairs: MapKey type: string MapKey value: parameter name MapValue type: If parameter's entity type is a composite entity then use map, otherwise, depending on the parameter value type, it could be one of string, number, boolean, null, list or map. MapValue value: If parameter's entity type is a composite entity then use map from composite entity property names to property values, otherwise, use parameter value.
all_required_params_present	bool This field is set to: false if the matched intent has required parameters and not all of the required parameter values have been collected. true if all required parameter values have been collected, or if the matched intent doesn't contain any required parameters.
cancels_slot_filling	bool Indicates whether the conversational query triggers a cancellation for slot filling. For more information, see the cancel slot filling documentation.
fulfillment_text	string The text to be pronounced to the user or shown on the screen. Note: This is a legacy field, fulfillment_messages should be preferred.
fulfillment_messages[]	Message The collection of rich messages to present to the user.
webhook_source	string If the query was fulfilled by a webhook call, this field is set to the value of the source field returned in the webhook response.
webhook_payload	Struct If the query was fulfilled by a webhook call, this field is set to the value of the payload field returned in the webhook response.
output_contexts[]	Context The collection of output contexts. If applicable, output_contexts.parameters contains entries with name <parameter name>.original containing the original parameter values before the query.
intent	Intent The intent that matched the conversational query. Some, not all fields are filled in this message, including but not limited to: name, display_name, end_interaction and is_fallback.
intent_detection_confidence	float The intent detection confidence. Values range from 0.0 (completely uncertain) to 1.0 (completely certain). This value is for informational purpose only and is only used to help match the best intent within the classification threshold. This value may change for the same end-user expression at any time due to a model retraining or change in implementation. If there are multiple knowledge_answers messages, this value is set to the greatest knowledgeAnswers.match_confidence value in the list.
diagnostic_info	Struct Free-form diagnostic information for the associated detect intent request. The fields of this data can change without notice, so you should not write code that depends on its structure. The data may contain: webhook call latency webhook errors
sentiment_analysis_result	SentimentAnalysisResult The sentiment analysis result, which depends on the sentiment_analysis_request_config specified in the request.

ReloadDocumentRequest

Request message for Documents.ReloadDocument.

Fields
name	string Required. The name of the document to reload. Format: projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>
import_gcs_custom_metadata	bool Optional. Whether to import custom metadata from Google Cloud Storage. Only valid when the document source is Google Cloud Storage URI.
smart_messaging_partial_update	bool Optional. When enabled, the reload request is to apply partial update to the smart messaging allowlist.
Union field source. The source for document reloading. If provided, the service will load the contents from the source and update document in the knowledge base. Reloading from a new document source is allowed for smart messaging documents only. If you want to update the source for other document types, please delete the existing document and create a new one instead. source can be only one of the following:
content_uri	string Optional. The path of gcs source file for reloading document content. For now, only gcs uri is supported. For documents stored in Google Cloud Storage, these URIs must have the form gs://<bucket-name>/<object-name>.

RestoreAgentRequest

The request message for Agents.RestoreAgent.

Fields
parent	string Required. The project that the agent to restore is associated with. Format: projects/<Project ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.agents.restore
Union field agent. Required. The agent to restore. agent can be only one of the following:
agent_uri	string The URI to a Google Cloud Storage file containing the agent to restore. Note: The URI must start with "gs://". Dialogflow performs a read operation for the Cloud Storage object on the caller's behalf, so your request authentication must have read permissions for the object. For more information, see Dialogflow access control.
agent_content	bytes Zip compressed raw byte content for agent.

SearchAgentsRequest

The request message for Agents.SearchAgents.

Fields
parent	string Required. The project to list agents from. Format: projects/<Project ID or '-'>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.agents.search
page_size	int32 Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
page_token	string The next_page_token value returned from a previous list request.

SearchAgentsResponse

The response message for Agents.SearchAgents.

Fields
agents[]	Agent The list of agents. There will be a maximum number of items returned based on the page_size field in the request.
next_page_token	string Token to retrieve the next page of results, or empty if there are no more results in the list.

SearchKnowledgeAnswer

Represents a SearchKnowledge answer.

Fields
answer	string The piece of text from the knowledge base documents that answers the search query
answer_type	AnswerType The type of the answer.
answer_sources[]	AnswerSource All sources used to generate the answer.
answer_record	string The name of the answer record. Format: projects/<Project ID>/locations/<location ID>/answer Records/<Answer Record ID>

AnswerSource

The sources of the answers.

Fields
title	string The title of the article.
uri	string The URI of the article.
snippet	string The relevant snippet of the article.
metadata	Struct Metadata associated with the article.

AnswerType

The type of the answer.

Enums
ANSWER_TYPE_UNSPECIFIED	The answer has a unspecified type.
FAQ	The answer is from FAQ documents.
GENERATIVE	The answer is from generative model.
INTENT	The answer is from intent matching.

SearchKnowledgeRequest

The request message for Conversations.SearchKnowledge.

Fields
parent	string Required. The parent resource contains the conversation profile Format: 'projects/' or projects/<Project ID>/locations/<Location ID>.
query	TextInput Required. The natural language text query for knowledge search.
conversation_profile	string Required. The conversation profile used to configure the search. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>.
session_id	string Required. The ID of the search session. The session_id can be combined with Dialogflow V3 Agent ID retrieved from conversation profile or on its own to identify a search session. The search history of the same session will impact the search result. It's up to the API caller to choose an appropriate Session ID. It can be a random number or some type of session identifiers (preferably hashed). The length must not exceed 36 characters.
conversation	string Optional. The conversation (between human agent and end user) where the search request is triggered. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.
latest_message	string Optional. The name of the latest conversation message when the request is triggered. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
query_source	QuerySource Optional. The source of the query in the request.
end_user_metadata	Struct Optional. Information about the end-user to improve the relevance and accuracy of generative answers. This will be interpreted and used by a language model, so, for good results, the data should be self-descriptive, and in a simple structure. Example: { "subscription plan": "Business Premium Plus", "devices owned": [ {"model": "Google Pixel 7"}, {"model": "Google Pixel Tablet"} ] }
search_config	SearchConfig Optional. Configuration specific to search queries with data stores.
exact_search	bool Optional. Whether to search the query exactly without query rewrite.

QuerySource

The source of the query. We use QuerySource to distinguish queries directly entered by agents and suggested queries from Participants.SuggestKnowledgeAssist. If SUGGESTED_QUERY source is specified, we will treat it as a continuation of a SuggestKnowledgeAssist call.

Enums
QUERY_SOURCE_UNSPECIFIED	Unknown query source.
AGENT_QUERY	The query is from agents.
SUGGESTED_QUERY	The query is a suggested query from Participants.SuggestKnowledgeAssist.

SearchConfig

Configuration specific to search queries with data stores.

Fields
boost_specs[]	BoostSpecs Optional. Boost specifications for data stores.
filter_specs[]	FilterSpecs Optional. Filter specification for data store queries.

BoostSpecs

Boost specifications for data stores.

Fields
data_stores[]	string Optional. Data Stores where the boosting configuration is applied. The full names of the referenced data stores. Formats: projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store} projects/{project}/locations/{location}/dataStores/{data_store}
spec[]	BoostSpec Optional. A list of boosting specifications.

BoostSpec

Boost specification to boost certain documents. A copy of google.cloud.discoveryengine.v1main.BoostSpec, field documentation is available at https://cloud.google.com/generative-ai-app-builder/docs/reference/rest/v1alpha/BoostSpec

Fields
condition_boost_specs[]	ConditionBoostSpec Optional. Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.

ConditionBoostSpec

Boost applies to documents which match a condition.

Fields
condition	string Optional. An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. Examples: To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": (id: ANY("doc_1", "doc_2")) AND (color: ANY("Red","Blue"))
boost	float Optional. Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
boost_control_spec	BoostControlSpec Optional. Complex specification for custom ranking based on customer defined attribute value.

BoostControlSpec

Specification for custom ranking based on customer specified attribute value. It provides more controls for customized ranking than the simple (condition, boost) combination above.

Fields
field_name	string Optional. The name of the field whose value will be used to determine the boost amount.
attribute_type	AttributeType Optional. The attribute type to be used to determine the boost amount. The attribute value can be derived from the field value of the specified field_name. In the case of numerical it is straightforward i.e. attribute_value = numerical_field_value. In the case of freshness however, attribute_value = (time.now() - datetime_field_value).
interpolation_type	InterpolationType Optional. The interpolation type to be applied to connect the control points listed below.
control_points[]	ControlPoint Optional. The control points used to define the curve. The monotonic function (defined through the interpolation_type above) passes through the control points listed here.

AttributeType

The attribute(or function) for which the custom ranking is to be applied.

Enums
ATTRIBUTE_TYPE_UNSPECIFIED	Unspecified AttributeType.
NUMERICAL	The value of the numerical field will be used to dynamically update the boost amount. In this case, the attribute_value (the x value) of the control point will be the actual value of the numerical field for which the boost_amount is specified.
FRESHNESS	For the freshness use case the attribute value will be the duration between the current time and the date in the datetime field specified. The value must be formatted as an XSD dayTimeDuration value (a restricted subset of an ISO 8601 duration value). The pattern for this is: [nD][T[nH][nM][nS]]. E.g. 5D, 3DT12H30M, T24H.

ControlPoint

The control points used to define the curve. The curve defined through these control points can only be monotonically increasing or decreasing(constant values are acceptable).

Fields
attribute_value	string Optional. Can be one of: 1. The numerical field value. 2. The duration spec for freshness: The value must be formatted as an XSD dayTimeDuration value (a restricted subset of an ISO 8601 duration value). The pattern for this is: [nD][T[nH][nM][nS]].
boost_amount	float Optional. The value between -1 to 1 by which to boost the score if the attribute_value evaluates to the value specified above.

InterpolationType

The interpolation type to be applied. Default will be linear (Piecewise Linear).

Enums
INTERPOLATION_TYPE_UNSPECIFIED	Interpolation type is unspecified. In this case, it defaults to Linear.
LINEAR	Piecewise linear interpolation will be applied.

FilterSpecs

Filter specification for data store queries.

Fields
data_stores[]	string Optional. The data store where the filter configuration is applied. Full resource name of data store, such as projects/{project}/locations/{location}/collections/{collectionId}/ dataStores/{dataStoreId}.
filter	string Optional. The filter expression to be applied. Expression syntax is documented at https://cloud.google.com/generative-ai-app-builder/docs/filter-search-metadata#filter-expression-syntax

SearchKnowledgeResponse

The response message for Conversations.SearchKnowledge.

Fields
answers[]	SearchKnowledgeAnswer Most relevant snippets extracted from articles in the given knowledge base, ordered by confidence.
rewritten_query	string The rewritten query used to search knowledge.

Sentiment

The sentiment, such as positive/negative feeling or association, for a unit of analysis, such as the query text. See: https://cloud.google.com/natural-language/docs/basics#interpreting_sentiment_analysis_values for how to interpret the result.

Fields
score	float Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment).
magnitude	float A non-negative number in the [0, +inf) range, which represents the absolute magnitude of sentiment, regardless of score (positive or negative).

SentimentAnalysisRequestConfig

Configures the types of sentiment analysis to perform.

Fields
analyze_query_text_sentiment	bool Instructs the service to perform sentiment analysis on query_text. If not provided, sentiment analysis is not performed on query_text.

SentimentAnalysisResult

The result of sentiment analysis. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user's attitude as positive, negative, or neutral. For [DetectIntent][], it needs to be configured in DetectIntentRequest.query_params. For [StreamingDetectIntent][], it needs to be configured in StreamingDetectIntentRequest.query_params. And for Participants.AnalyzeContent and Participants.StreamingAnalyzeContent, it needs to be configured in ConversationProfile.human_agent_assistant_config

Fields
query_text_sentiment	Sentiment The sentiment analysis result for query_text.

SessionEntityType

A session represents a conversation between a Dialogflow agent and an end-user. You can create special entities, called session entities, during a session. Session entities can extend or replace custom entity types and only exist during the session that they were created for. All session data, including session entities, is stored by Dialogflow for 20 minutes.

For more information, see the session entity guide.

Fields
name	string Required. The unique identifier of this session entity type. Format: projects/<Project ID>/agent/sessions/<Session ID>/entityTypes/<Entity Type Display Name>, or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>/entityTypes/<Entity Type Display Name>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we assume default '-' user. <Entity Type Display Name> must be the display name of an existing entity type in the same agent that will be overridden or supplemented.
entity_override_mode	EntityOverrideMode Required. Indicates whether the additional data should override or supplement the custom entity type definition.
entities[]	Entity Required. The collection of entities associated with this session entity type.

EntityOverrideMode

The types of modifications for a session entity type.

Enums
ENTITY_OVERRIDE_MODE_UNSPECIFIED	Not specified. This value should be never used.
ENTITY_OVERRIDE_MODE_OVERRIDE	The collection of session entities overrides the collection of entities in the corresponding custom entity type.
ENTITY_OVERRIDE_MODE_SUPPLEMENT	The collection of session entities extends the collection of entities in the corresponding custom entity type. Note: Even in this override mode calls to ListSessionEntityTypes, GetSessionEntityType, CreateSessionEntityType and UpdateSessionEntityType only return the additional entities added in this session entity type. If you want to get the supplemented list, please call EntityTypes.GetEntityType on the custom entity type and merge.

SetAgentRequest

The request message for Agents.SetAgent.

Fields
agent	Agent Required. The agent to update. Authorization requires the following IAM permission on the specified resource agent: dialogflow.agents.create
update_mask	FieldMask Optional. The mask to control which fields get updated.

SetSuggestionFeatureConfigOperationMetadata

Metadata for a ConversationProfiles.SetSuggestionFeatureConfig operation.

Fields
conversation_profile	string The resource name of the conversation profile. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>
participant_role	Role Required. The participant role to add or update the suggestion feature config. Only HUMAN_AGENT or END_USER can be used.
suggestion_feature_type	Type Required. The type of the suggestion feature to add or update.
create_time	Timestamp Timestamp whe the request was created. The time is measured on server side.

SetSuggestionFeatureConfigRequest

The request message for ConversationProfiles.SetSuggestionFeatureConfig.

Fields
conversation_profile	string Required. The Conversation Profile to add or update the suggestion feature config. Format: projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>.
participant_role	Role Required. The participant role to add or update the suggestion feature config. Only HUMAN_AGENT or END_USER can be used.
suggestion_feature_config	SuggestionFeatureConfig Required. The suggestion feature config to add or update.

SmartReplyAnswer

Represents a smart reply answer.

Fields
reply	string The content of the reply.
confidence	float Smart reply confidence. The system's confidence score that this reply is a good match for this conversation, as a value from 0.0 (completely uncertain) to 1.0 (completely certain).
answer_record	string The name of answer record, in the format of "projects//locations//answerRecords/"

SmartReplyMetrics

The evaluation metrics for smart reply model.

Fields
allowlist_coverage	float Percentage of target participant messages in the evaluation dataset for which similar messages have appeared at least once in the allowlist. Should be [0, 1].
top_n_metrics[]	TopNMetrics Metrics of top n smart replies, sorted by [TopNMetric.n][].
conversation_count	int64 Total number of conversations used to generate this metric.

TopNMetrics

Evaluation metrics when retrieving n smart replies with the model.

Fields
n	int32 Number of retrieved smart replies. For example, when n is 3, this evaluation contains metrics for when Dialogflow retrieves 3 smart replies with the model.
recall	float Defined as number of queries whose top n smart replies have at least one similar (token match similarity above the defined threshold) reply as the real reply divided by number of queries with at least one smart reply. Value ranges from 0.0 to 1.0 inclusive.

SmartReplyModelMetadata

Metadata for smart reply models.

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

SpeechContext

Hints for the speech recognizer to help with recognition in a specific conversation state.

Fields
phrases[]	string Optional. A list of strings containing words and phrases that the speech recognizer should recognize with higher likelihood. This list can be used to: improve accuracy for words and phrases you expect the user to say, e.g. typical commands for your Dialogflow agent add additional words to the speech recognizer vocabulary ... See the Cloud Speech documentation for usage limits.
boost	float Optional. Boost for this context compared to other contexts: If the boost is positive, Dialogflow will increase the probability that the phrases in this context are recognized over similar sounding phrases. If the boost is unspecified or non-positive, Dialogflow will not apply any boost. Dialogflow recommends that you use boosts in the range (0, 20] and that you find a value that fits your use case with binary search.

SpeechModelVariant

Variant of the specified Speech model to use.

See the Cloud Speech documentation for which models have different variants. For example, the "phone_call" model has both a standard and an enhanced variant. When you use an enhanced model, you will generally receive higher quality results than for a standard model.

Enums
SPEECH_MODEL_VARIANT_UNSPECIFIED	No model variant specified. In this case Dialogflow defaults to USE_BEST_AVAILABLE.
USE_BEST_AVAILABLE	Use the best available variant of the [Speech model][model] that the caller is eligible for. Please see the Dialogflow docs for how to make your project eligible for enhanced models.
USE_STANDARD	Use standard model variant even if an enhanced model is available. See the Cloud Speech documentation for details about enhanced models.
USE_ENHANCED	Use an enhanced model variant: If an enhanced variant does not exist for the given model and request language, Dialogflow falls back to the standard variant. The Cloud Speech documentation describes which models have enhanced variants. If the API caller isn't eligible for enhanced models, Dialogflow returns an error. Please see the Dialogflow docs for how to make your project eligible.

SpeechToTextConfig

Configures speech transcription for ConversationProfile.

Fields
speech_model_variant	SpeechModelVariant The speech model used in speech to text. SPEECH_MODEL_VARIANT_UNSPECIFIED, USE_BEST_AVAILABLE will be treated as USE_ENHANCED. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
model	string Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to Cloud Speech API documentation for more details. If you specify a model, the following models typically have the best performance: phone_call (best for Agent Assist and telephony) latest_short (best for Dialogflow non-telephony) command_and_search Leave this field unspecified to use Agent Speech settings for model selection.
phrase_sets[]	string List of names of Cloud Speech phrase sets that are used for transcription.
audio_encoding	AudioEncoding Audio encoding of the audio content to process.
sample_rate_hertz	int32 Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details.
language_code	string The language of the supplied audio. Dialogflow does not do translations. See Language Support for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
enable_word_info	bool If true, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
use_timeout_based_endpointing	bool Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.

SpeechWordInfo

Information for a word recognized by the speech recognizer.

Fields
word	string The word this info is for.
start_offset	Duration Time offset relative to the beginning of the audio that corresponds to the start of the spoken word. This is an experimental feature and the accuracy of the time offset can vary.
end_offset	Duration Time offset relative to the beginning of the audio that corresponds to the end of the spoken word. This is an experimental feature and the accuracy of the time offset can vary.
confidence	float The Speech confidence between 0.0 and 1.0 for this word. A higher number indicates an estimated greater likelihood that the recognized word is correct. The default of 0.0 is a sentinel value indicating that confidence was not set. This field is not guaranteed to be fully stable over time for the same audio input. Users should also not rely on it to always be provided.

SsmlVoiceGender

Gender of the voice as described in SSML voice element.

Enums
SSML_VOICE_GENDER_UNSPECIFIED	An unspecified gender, which means that the client doesn't care which gender the selected voice will have.
SSML_VOICE_GENDER_MALE	A male voice.
SSML_VOICE_GENDER_FEMALE	A female voice.
SSML_VOICE_GENDER_NEUTRAL	A gender-neutral voice.

StreamingAnalyzeContentRequest

The top-level message sent by the client to the Participants.StreamingAnalyzeContent method.

Multiple request messages should be sent in order:

1. The first message must contain participant, [config][google.cloud.dialogflow.v2.StreamingAnalyzeContentRequest.config] and optionally query_params. If you want to receive an audio response, it should also contain reply_audio_config. The message must not contain [input][google.cloud.dialogflow.v2.StreamingAnalyzeContentRequest.input].

2. If [config][google.cloud.dialogflow.v2.StreamingAnalyzeContentRequest.config] in the first message was set to audio_config, all subsequent messages must contain input_audio to continue with Speech recognition. However, note that:

* Dialogflow will bill you for the audio so far.
* Dialogflow discards all Speech recognition results in favor of the
  text input.

1. If [StreamingAnalyzeContentRequest.config][google.cloud.dialogflow.v2.StreamingAnalyzeContentRequest.config] in the first message was set to StreamingAnalyzeContentRequest.text_config, then the second message must contain only input_text. Moreover, you must not send more than two messages.

After you sent all input, you must half-close or abort the request stream.

Fields
participant	string Required. The name of the participant this text comes from. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>. Authorization requires the following IAM permission on the specified resource participant: dialogflow.participants.analyzeContent
reply_audio_config	OutputAudioConfig Speech synthesis configuration. The speech synthesis settings for a virtual agent that may be configured for the associated conversation profile are not used when calling StreamingAnalyzeContent. If this configuration is not supplied, speech synthesis is disabled.
query_params	QueryParameters Parameters for a Dialogflow virtual-agent query.
assist_query_params	AssistQueryParameters Parameters for a human assist query.
cx_parameters	Struct Additional parameters to be put into Dialogflow CX session parameters. To remove a parameter from the session, clients should explicitly set the parameter value to null. Note: this field should only be used if you are connecting to a Dialogflow CX agent.
enable_extended_streaming	bool Optional. Enable full bidirectional streaming. You can keep streaming the audio until timeout, and there's no need to half close the stream to get the response. Restrictions: Timeout: 3 mins. Audio Encoding: only supports AudioEncoding.AUDIO_ENCODING_LINEAR_16 and AudioEncoding.AUDIO_ENCODING_MULAW Lifecycle: conversation should be in Assist Stage, go to Conversations.CreateConversation for more information. InvalidArgument Error will be returned if the one of restriction checks failed. You can find more details in https://cloud.google.com/agent-assist/docs/extended-streaming
enable_partial_automated_agent_reply	bool Enable partial virtual agent responses. If this flag is not enabled, response stream still contains only one final response even if some Fulfillments in Dialogflow virtual agent have been configured to return partial responses.
enable_debugging_info	bool If true, StreamingAnalyzeContentResponse.debugging_info will get populated.
Union field config. The input config. config can be only one of the following:
audio_config	InputAudioConfig Instructs the speech recognizer how to process the speech audio.
text_config	InputTextConfig The natural language text to be processed.
Union field input. The input. input can be only one of the following:
input_audio	bytes The input audio content to be recognized. Must be sent if audio_config is set in the first message. The complete audio over all streaming messages must not exceed 1 minute.
input_text	string The UTF-8 encoded natural language text to be processed. Must be sent if text_config is set in the first message. Text length must not exceed 256 bytes for virtual agent interactions. The input_text field can be only sent once, and would cancel the speech recognition if any ongoing.
input_dtmf	TelephonyDtmfEvents The DTMF digits used to invoke intent and fill in parameter value. This input is ignored if the previous response indicated that DTMF input is not accepted.

StreamingAnalyzeContentResponse

The top-level message returned from the StreamingAnalyzeContent method.

Multiple response messages can be returned in order:

1. If the input was set to streaming audio, the first one or more messages contain recognition_result. Each recognition_result represents a more complete transcript of what the user said. The last recognition_result has is_final set to true.

2. In virtual agent stage: if enable_partial_automated_agent_reply is true, the following N (currently 1 <= N <= 4) messages contain automated_agent_reply and optionally reply_audio returned by the virtual agent. The first (N-1) automated_agent_replys will have automated_agent_reply_type set to PARTIAL. The last automated_agent_reply has automated_agent_reply_type set to FINAL. If enable_partial_automated_agent_reply is not enabled, response stream only contains the final reply.

In human assist stage: the following N (N >= 1) messages contain
`human_agent_suggestion_results`, `end_user_suggestion_results` or
`message`.

Fields
recognition_result	StreamingRecognitionResult The result of speech recognition.
reply_text	string The output text content. This field is set if an automated agent responded with a text for the user.
reply_audio	OutputAudio The audio data bytes encoded as specified in the request. This field is set if: The reply_audio_config field is specified in the request. The automated agent, which this output comes from, responded with audio. In such case, the reply_audio.config field contains settings used to synthesize the speech. In some scenarios, multiple output audio fields may be present in the response structure. In these cases, only the top-most-level audio output has content.
automated_agent_reply	AutomatedAgentReply Note that in [AutomatedAgentReply.DetectIntentResponse][], [Sessions.DetectIntentResponse.output_audio][] and [Sessions.DetectIntentResponse.output_audio_config][] are always empty, use reply_audio instead.
message	Message Message analyzed by CCAI.
human_agent_suggestion_results[]	SuggestionResult The suggestions for most recent human agent. The order is the same as HumanAgentAssistantConfig.SuggestionConfig.feature_configs of HumanAgentAssistantConfig.human_agent_suggestion_config.
end_user_suggestion_results[]	SuggestionResult The suggestions for end user. The order is the same as HumanAgentAssistantConfig.SuggestionConfig.feature_configs of HumanAgentAssistantConfig.end_user_suggestion_config.
dtmf_parameters	DtmfParameters Indicates the parameters of DTMF.
debugging_info	CloudConversationDebuggingInfo Debugging info that would get populated when StreamingAnalyzeContentRequest.enable_debugging_info is set to true.

StreamingDetectIntentRequest

The top-level message sent by the client to the [StreamingDetectIntent][] method.

Multiple request messages should be sent in order:

1. The first message must contain session, query_input plus optionally query_params. If the client wants to receive an audio response, it should also contain output_audio_config. The message must not contain input_audio.
2. If query_input was set to query_input.audio_config, all subsequent messages must contain input_audio to continue with Speech recognition. If you decide to rather detect an intent from text input after you already started Speech recognition, please send a message with query_input.text.

However, note that:

* Dialogflow will bill you for the audio duration so far.
* Dialogflow discards all Speech recognition results in favor of the
  input text.
* Dialogflow will use the language code from the first message.

After you sent all input, you must half-close or abort the request stream.

Fields
session	string Required. The name of the session the query is sent to. Format of the session name: projects/<Project ID>/agent/sessions/<Session ID>, or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>. If Environment ID is not specified, we assume default 'draft' environment. If User ID is not specified, we are using "-". It's up to the API caller to choose an appropriate Session ID and User Id. They can be a random number or some type of user and session identifiers (preferably hashed). The length of the Session ID and User ID must not exceed 36 characters. For more information, see the API interactions guide. Note: Always use agent versions for production traffic. See Versions and environments. Authorization requires the following IAM permission on the specified resource session: dialogflow.sessions.streamingDetectIntent
query_params	QueryParameters The parameters of this query.
query_input	QueryInput Required. The input specification. It can be set to: an audio config which instructs the speech recognizer how to process the speech audio, a conversational query in the form of text, or an event that specifies which intent to trigger.
single_utterance (deprecated)	bool This item is deprecated! Please use InputAudioConfig.single_utterance instead. If false (default), recognition does not cease until the client closes the stream. If true, the recognizer will detect a single spoken utterance in input audio. Recognition ceases when it detects the audio's voice has stopped or paused. In this case, once a detected intent is received, the client should close the stream and start a new request with a new stream as needed. This setting is ignored when query_input is a piece of text or an event.
output_audio_config	OutputAudioConfig Instructs the speech synthesizer how to generate the output audio. If this field is not set and agent-level speech synthesizer is not configured, no output audio is generated.
output_audio_config_mask	FieldMask Mask for output_audio_config indicating which settings in this request-level config should override speech synthesizer settings defined at agent-level. If unspecified or empty, output_audio_config replaces the agent-level config in its entirety.
input_audio	bytes The input audio content to be recognized. Must be sent if query_input was set to a streaming input audio config. The complete audio over all streaming messages must not exceed 1 minute.
enable_debugging_info	bool if true, StreamingDetectIntentResponse.debugging_info will get populated.

StreamingDetectIntentResponse

The top-level message returned from the [StreamingDetectIntent][] method.

Multiple response messages can be returned in order:

1. If the StreamingDetectIntentRequest.input_audio field was set, the recognition_result field is populated for one or more messages. See the StreamingRecognitionResult message for details about the result message sequence.

2. The next message contains response_id, query_result and optionally webhook_status if a WebHook was called.

Fields
response_id	string The unique identifier of the response. It can be used to locate a response in the training example set or for reporting issues.
recognition_result	StreamingRecognitionResult The result of speech recognition.
query_result	QueryResult The result of the conversational query or event processing.
webhook_status	Status Specifies the status of the webhook request.
output_audio	bytes The audio data bytes encoded as specified in the request. Note: The output audio is generated based on the values of default platform text responses found in the query_result.fulfillment_messages field. If multiple default text responses exist, they will be concatenated when generating audio. If no default platform text responses exist, the generated audio content will be empty. In some scenarios, multiple output audio fields may be present in the response structure. In these cases, only the top-most-level audio output has content.
output_audio_config	OutputAudioConfig The config used by the speech synthesizer to generate the output audio.
debugging_info	CloudConversationDebuggingInfo Debugging info that would get populated when StreamingDetectIntentRequest.enable_debugging_info is set to true.

StreamingRecognitionResult

Contains a speech recognition result corresponding to a portion of the audio that is currently being processed or an indication that this is the end of the single requested utterance.

While end-user audio is being processed, Dialogflow sends a series of results. Each result may contain a transcript value. A transcript represents a portion of the utterance. While the recognizer is processing audio, transcript values may be interim values or finalized values. Once a transcript is finalized, the is_final value is set to true and processing continues for the next transcript.

If StreamingDetectIntentRequest.query_input.audio_config.single_utterance was true, and the recognizer has completed processing audio, the message_type value is set to `END_OF_SINGLE_UTTERANCE and the following (last) result contains the last finalized transcript.

The complete end-user utterance is determined by concatenating the finalized transcript values received for the series of results.

In the following example, single utterance is enabled. In the case where single utterance is not enabled, result 7 would not occur.

Num | transcript              | message_type            | is_final
--- | ----------------------- | ----------------------- | --------
1   | "tube"                  | TRANSCRIPT              | false
2   | "to be a"               | TRANSCRIPT              | false
3   | "to be"                 | TRANSCRIPT              | false
4   | "to be or not to be"    | TRANSCRIPT              | true
5   | "that's"                | TRANSCRIPT              | false
6   | "that is                | TRANSCRIPT              | false
7   | unset                   | END_OF_SINGLE_UTTERANCE | unset
8   | " that is the question" | TRANSCRIPT              | true

Concatenating the finalized transcripts with is_final set to true, the complete utterance becomes "to be or not to be that is the question".

Fields
message_type	MessageType Type of the result message.
transcript	string Transcript text representing the words that the user spoke. Populated if and only if message_type = TRANSCRIPT.
is_final	bool If false, the StreamingRecognitionResult represents an interim result that may change. If true, the recognizer will not return any further hypotheses about this piece of the audio. May only be populated for message_type = TRANSCRIPT.
confidence	float The Speech confidence between 0.0 and 1.0 for the current portion of audio. A higher number indicates an estimated greater likelihood that the recognized words are correct. The default of 0.0 is a sentinel value indicating that confidence was not set. This field is typically only provided if is_final is true and you should not rely on it being accurate or even set.
speech_word_info[]	SpeechWordInfo Word-specific information for the words recognized by Speech in transcript. Populated if and only if message_type = TRANSCRIPT and [InputAudioConfig.enable_word_info] is set.
speech_end_offset	Duration Time offset of the end of this Speech recognition result relative to the beginning of the audio. Only populated for message_type = TRANSCRIPT.
language_code	string Detected language code for the transcript.

MessageType

Type of the response message.

Enums
MESSAGE_TYPE_UNSPECIFIED	Not specified. Should never be used.
TRANSCRIPT	Message contains a (possibly partial) transcript.
END_OF_SINGLE_UTTERANCE	This event indicates that the server has detected the end of the user's speech utterance and expects no additional inputs. Therefore, the server will not process additional audio (although it may subsequently return additional results). The client should stop sending additional audio data, half-close the gRPC connection, and wait for any additional results until the server closes the gRPC connection. This message is only sent if single_utterance was set to true, and is not used otherwise.

SuggestArticlesRequest

The request message for Participants.SuggestArticles.

Fields
parent	string Required. The name of the participant to fetch suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.suggestions.list
latest_message	string Optional. The name of the latest conversation message to compile suggestion for. If empty, it will be the latest message of the conversation. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Optional. Max number of messages prior to and including latest_message to use as context when compiling the suggestion. By default 20 and at most 50.
assist_query_params	AssistQueryParameters Parameters for a human assist query.

SuggestArticlesResponse

The response message for Participants.SuggestArticles.

Fields
article_answers[]	ArticleAnswer Articles ordered by score in descending order.
latest_message	string The name of the latest conversation message used to compile suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Number of messages prior to and including latest_message to compile the suggestion. It may be smaller than the SuggestArticlesRequest.context_size field in the request if there aren't that many messages in the conversation.

SuggestConversationSummaryRequest

The request message for Conversations.SuggestConversationSummary.

Fields
conversation	string Required. The conversation to fetch suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.
latest_message	string Optional. The name of the latest conversation message used as context for compiling suggestion. If empty, the latest message of the conversation will be used. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Optional. Max number of messages prior to and including [latest_message] to use as context when compiling the suggestion. By default 500 and at most 1000.
assist_query_params	AssistQueryParameters Optional. Parameters for a human assist query. Only used for POC/demo purpose.

SuggestConversationSummaryResponse

The response message for Conversations.SuggestConversationSummary.

Fields
summary	Summary Generated summary.
latest_message	string The name of the latest conversation message used as context for compiling suggestion. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Number of messages prior to and including latest_message used to compile the suggestion. It may be smaller than the SuggestConversationSummaryRequest.context_size field in the request if there weren't that many messages in the conversation.

Summary

Generated summary for a conversation.

Fields
text	string The summary content that is concatenated into one string.
text_sections	map<string, string> The summary content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.
answer_record	string The name of the answer record. Format: "projects//answerRecords/"
baseline_model_version	string The baseline model version used to generate this summary. It is empty if a baseline model was not used to generate this summary.

SuggestFaqAnswersRequest

The request message for Participants.SuggestFaqAnswers.

Fields
parent	string Required. The name of the participant to fetch suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.suggestions.list
latest_message	string Optional. The name of the latest conversation message to compile suggestion for. If empty, it will be the latest message of the conversation. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Optional. Max number of messages prior to and including [latest_message] to use as context when compiling the suggestion. By default 20 and at most 50.
assist_query_params	AssistQueryParameters Parameters for a human assist query.

SuggestFaqAnswersResponse

The request message for Participants.SuggestFaqAnswers.

Fields
faq_answers[]	FaqAnswer Answers extracted from FAQ documents.
latest_message	string The name of the latest conversation message used to compile suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Number of messages prior to and including latest_message to compile the suggestion. It may be smaller than the SuggestFaqAnswersRequest.context_size field in the request if there aren't that many messages in the conversation.

SuggestKnowledgeAssistRequest

The request message for Participants.SuggestKnowledgeAssist.

Fields
parent	string Required. The name of the participant to fetch suggestions for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.suggestions.list
latest_message	string Optional. The name of the latest conversation message to compile suggestions for. If empty, it will be the latest message of the conversation. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Optional. Max number of messages prior to and including latest_message to use as context when compiling the suggestion. The context size is by default 100 and at most 100.
previous_suggested_query	string Optional. The previously suggested query for the given conversation. This helps identify whether the next suggestion we generate is resonably different from the previous one. This is useful to avoid similar suggestions within the conversation.

SuggestKnowledgeAssistResponse

The response message for Participants.SuggestKnowledgeAssist.

Fields
knowledge_assist_answer	KnowledgeAssistAnswer Output only. Knowledge Assist suggestion.
latest_message	string The name of the latest conversation message used to compile suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Number of messages prior to and including latest_message to compile the suggestion. It may be smaller than the SuggestKnowledgeAssistRequest.context_size field in the request if there are fewer messages in the conversation.

SuggestSmartRepliesRequest

The request message for Participants.SuggestSmartReplies.

Fields
parent	string Required. The name of the participant to fetch suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.suggestions.list
current_text_input	TextInput The current natural language text segment to compile suggestion for. This provides a way for user to get follow up smart reply suggestion after a smart reply selection, without sending a text message.
latest_message	string The name of the latest conversation message to compile suggestion for. If empty, it will be the latest message of the conversation. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Max number of messages prior to and including [latest_message] to use as context when compiling the suggestion. By default 20 and at most 50.

SuggestSmartRepliesResponse

The response message for Participants.SuggestSmartReplies.

Fields
smart_reply_answers[]	SmartReplyAnswer Output only. Multiple reply options provided by smart reply service. The order is based on the rank of the model prediction. The maximum number of the returned replies is set in SmartReplyConfig.
latest_message	string The name of the latest conversation message used to compile suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/messages/<Message ID>.
context_size	int32 Number of messages prior to and including latest_message to compile the suggestion. It may be smaller than the SuggestSmartRepliesRequest.context_size field in the request if there aren't that many messages in the conversation.

SuggestionFeature

The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple Feature objects can be specified in the features list.

Fields
type	Type Type of Human Agent Assistant API feature to request.

Type

Defines the type of Human Agent Assistant feature.

Enums
TYPE_UNSPECIFIED	Unspecified feature type.
ARTICLE_SUGGESTION	Run article suggestion model for chat.
FAQ	Run FAQ model for chat.
SMART_REPLY	Run smart reply model for chat.
KNOWLEDGE_SEARCH	Run knowledge search with text input from agent or text generated query.
KNOWLEDGE_ASSIST	Run knowledge assist with automatic query generation.

SuggestionInput

Represents the selection of a suggestion.

Fields
answer_record	string Required. The ID of a suggestion selected by the human agent. The suggestion(s) were generated in a previous call to request Dialogflow assist. The format is: projects/<Project ID>/locations/<Location ID>/answerRecords/<Answer Record ID> where is an alphanumeric string.

SuggestionResult

One response of different type of suggestion response which is used in the response of Participants.AnalyzeContent and Participants.AnalyzeContent, as well as HumanAgentAssistantEvent.

Fields
Union field suggestion_response. Different type of suggestion response. suggestion_response can be only one of the following:
error	Status Error status if the request failed.
suggest_articles_response	SuggestArticlesResponse SuggestArticlesResponse if request is for ARTICLE_SUGGESTION.
suggest_knowledge_assist_response	SuggestKnowledgeAssistResponse SuggestKnowledgeAssistResponse if request is for KNOWLEDGE_ASSIST.
suggest_faq_answers_response	SuggestFaqAnswersResponse SuggestFaqAnswersResponse if request is for FAQ_ANSWER.
suggest_smart_replies_response	SuggestSmartRepliesResponse SuggestSmartRepliesResponse if request is for SMART_REPLY.

SummarizationContext

Summarization context that customer can configure.

Fields
summarization_sections[]	SummarizationSection Optional. List of sections. Note it contains both predefined section sand customer defined sections.
few_shot_examples[]	FewShotExample Optional. List of few shot examples.
version	string Optional. Version of the feature. If not set, default to latest version. Current candidates are ["1.0"].
output_language_code	string Optional. The target language of the generated summary. The language code for conversation will be used if this field is empty. Supported 2.0 and later versions.

SummarizationSection

Represents the section of summarization.

Fields
key	string Optional. Name of the section, for example, "situation".
definition	string Optional. Definition of the section, for example, "what the customer needs help with or has question about."
type	Type Optional. Type of the summarization section.

Type

Type enum of the summarization sections.

Enums
TYPE_UNSPECIFIED	Undefined section type, does not return anything.
SITUATION	What the customer needs help with or has question about. Section name: "situation".
ACTION	What the agent does to help the customer. Section name: "action".
RESOLUTION	Result of the customer service. A single word describing the result of the conversation. Section name: "resolution".
REASON_FOR_CANCELLATION	Reason for cancellation if the customer requests for a cancellation. "N/A" otherwise. Section name: "reason_for_cancellation".
CUSTOMER_SATISFACTION	"Unsatisfied" or "Satisfied" depending on the customer's feelings at the end of the conversation. Section name: "customer_satisfaction".
ENTITIES	Key entities extracted from the conversation, such as ticket number, order number, dollar amount, etc. Section names are prefixed by "entities/".
CUSTOMER_DEFINED	Customer defined sections.

SummarizationSectionList

List of summarization sections.

Fields
summarization_sections[]	SummarizationSection Optional. Summarization sections.

SummarySuggestion

Suggested summary of the conversation.

Fields
summary_sections[]	SummarySection Required. All the parts of generated summary.

SummarySection

A component of the generated summary.

Fields
section	string Required. Name of the section.
summary	string Required. Summary text for the section.

SynthesizeSpeechConfig

Configuration of how speech should be synthesized.

Fields
speaking_rate	double Optional. Speaking rate/speed, in the range [0.25, 4.0]. 1.0 is the normal native speed supported by the specific voice. 2.0 is twice as fast, and 0.5 is half as fast. If unset(0.0), defaults to the native 1.0 speed. Any other values < 0.25 or > 4.0 will return an error.
pitch	double Optional. Speaking pitch, in the range [-20.0, 20.0]. 20 means increase 20 semitones from the original pitch. -20 means decrease 20 semitones from the original pitch.
volume_gain_db	double Optional. Volume gain (in dB) of the normal native volume supported by the specific voice, in the range [-96.0, 16.0]. If unset, or set to a value of 0.0 (dB), will play at normal native signal amplitude. A value of -6.0 (dB) will play at approximately half the amplitude of the normal native signal amplitude. A value of +6.0 (dB) will play at approximately twice the amplitude of the normal native signal amplitude. We strongly recommend not to exceed +10 (dB) as there's usually no effective increase in loudness for any value greater than that.
effects_profile_id[]	string Optional. An identifier which selects 'audio effects' profiles that are applied on (post synthesized) text to speech. Effects are applied on top of each other in the order they are given.
voice	VoiceSelectionParams Optional. The desired voice of the synthesized audio.

TelephonyDtmf

DTMF digit in Telephony Gateway.

Enums
TELEPHONY_DTMF_UNSPECIFIED	Not specified. This value may be used to indicate an absent digit.
DTMF_ONE	Number: '1'.
DTMF_TWO	Number: '2'.
DTMF_THREE	Number: '3'.
DTMF_FOUR	Number: '4'.
DTMF_FIVE	Number: '5'.
DTMF_SIX	Number: '6'.
DTMF_SEVEN	Number: '7'.
DTMF_EIGHT	Number: '8'.
DTMF_NINE	Number: '9'.
DTMF_ZERO	Number: '0'.
DTMF_A	Letter: 'A'.
DTMF_B	Letter: 'B'.
DTMF_C	Letter: 'C'.
DTMF_D	Letter: 'D'.
DTMF_STAR	Asterisk/star: '*'.
DTMF_POUND	Pound/diamond/hash/square/gate/octothorpe: '#'.

TelephonyDtmfEvents

A wrapper of repeated TelephonyDtmf digits.

Fields
dtmf_events[]	TelephonyDtmf A sequence of TelephonyDtmf digits.

TextInput

Auxiliary proto messages.

Represents the natural language text to be processed.

Fields
text	string Required. The UTF-8 encoded natural language text to be processed. Text length must not exceed 256 characters for virtual agent interactions.
language_code	string Required. The language of this conversational query. See Language Support for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.

TextToSpeechSettings

Instructs the speech synthesizer on how to generate the output audio content.

Fields
enable_text_to_speech	bool Optional. Indicates whether text to speech is enabled. Even when this field is false, other settings in this proto are still retained.
output_audio_encoding	OutputAudioEncoding Required. Audio encoding of the synthesized audio content.
sample_rate_hertz	int32 Optional. The synthesis sample rate (in hertz) for this audio. If not provided, then the synthesizer will use the default sample rate based on the audio encoding. If this is different from the voice's natural sample rate, then the synthesizer will honor this request by converting to the desired sample rate (which might result in worse audio quality).
synthesize_speech_configs	map<string, SynthesizeSpeechConfig> Optional. Configuration of how speech should be synthesized, mapping from language (https://cloud.google.com/dialogflow/docs/reference/language) to SynthesizeSpeechConfig.

TrainAgentRequest

The request message for Agents.TrainAgent.

Fields
parent	string Required. The project that the agent to train is associated with. Format: projects/<Project ID>. Authorization requires the following IAM permission on the specified resource parent: dialogflow.agents.train

TriggerEvent

The event that triggers the generator and LLM execution.

Enums
TRIGGER_EVENT_UNSPECIFIED	Default value for TriggerEvent.
END_OF_UTTERANCE	Triggers when each chat message or voice utterance ends.
MANUAL_CALL	Triggers on the conversation manually by API calls, such as Conversations.GenerateStatelessSuggestion and Conversations.GenerateSuggestions.

UndeployConversationModelOperationMetadata

Metadata for a ConversationModels.UndeployConversationModel operation.

Fields
conversation_model	string The resource name of the conversation model. Format: projects/<Project ID>/conversationModels/<Conversation Model Id>
create_time	Timestamp Timestamp when the request to undeploy conversation model was submitted. The time is measured on server side.

UndeployConversationModelRequest

The request message for ConversationModels.UndeployConversationModel

Fields
name	string Required. The conversation model to undeploy. Format: projects/<Project ID>/conversationModels/<Conversation Model ID> Authorization requires the following IAM permission on the specified resource name: dialogflow.conversationModels.undeploy

UpdateAnswerRecordRequest

Request message for AnswerRecords.UpdateAnswerRecord.

Fields
answer_record	AnswerRecord Required. Answer record to update. Authorization requires the following IAM permission on the specified resource answerRecord: dialogflow.answerrecords.update
update_mask	FieldMask Required. The mask to control which fields get updated.

UpdateContextRequest

The request message for Contexts.UpdateContext.

Fields
context	Context Required. The context to update. Authorization requires the following IAM permission on the specified resource context: dialogflow.contexts.update
update_mask	FieldMask Optional. The mask to control which fields get updated.

UpdateConversationProfileRequest

The request message for ConversationProfiles.UpdateConversationProfile.

Fields
conversation_profile	ConversationProfile Required. The conversation profile to update. Authorization requires the following IAM permission on the specified resource conversationProfile: dialogflow.conversationProfiles.update
update_mask	FieldMask Required. The mask to control which fields to update.

UpdateDocumentRequest

Request message for Documents.UpdateDocument.

Fields
document	Document Required. The document to update.
update_mask	FieldMask Optional. Not specified means update all. Currently, only display_name can be updated, an InvalidArgument will be returned for attempting to update other fields.

UpdateEntityTypeRequest

The request message for EntityTypes.UpdateEntityType.

Fields
entity_type	EntityType Required. The entity type to update. Authorization requires the following IAM permission on the specified resource entityType: dialogflow.entityTypes.update
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
update_mask	FieldMask Optional. The mask to control which fields get updated.

UpdateEnvironmentRequest

The request message for Environments.UpdateEnvironment.

Fields
environment	Environment Required. The environment to update. Authorization requires the following IAM permission on the specified resource environment: dialogflow.environments.update
update_mask	FieldMask Required. The mask to control which fields get updated.
allow_load_to_draft_and_discard_changes	bool Optional. This field is used to prevent accidental overwrite of the default environment, which is an operation that cannot be undone. To confirm that the caller desires this overwrite, this field must be explicitly set to true when updating the default environment (environment ID = -).

UpdateFulfillmentRequest

The request message for Fulfillments.UpdateFulfillment.

Fields
fulfillment	Fulfillment Required. The fulfillment to update. Authorization requires the following IAM permission on the specified resource fulfillment: dialogflow.fulfillments.update
update_mask	FieldMask Required. The mask to control which fields get updated. If the mask is not present, all fields will be updated.

UpdateGeneratorRequest

Request of UpdateGenerator.

Fields
generator	Generator Required. The generator to update. The name field of generator is to identify the generator to update.
update_mask	FieldMask Optional. The list of fields to update.

UpdateIntentRequest

The request message for Intents.UpdateIntent.

Fields
intent	Intent Required. The intent to update. Authorization requires the following IAM permission on the specified resource intent: dialogflow.intents.update
language_code	string Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data.
update_mask	FieldMask Optional. The mask to control which fields get updated.
intent_view	IntentView Optional. The resource view to apply to the returned intent.

UpdateKnowledgeBaseRequest

Request message for KnowledgeBases.UpdateKnowledgeBase.

Fields
knowledge_base	KnowledgeBase Required. The knowledge base to update.
update_mask	FieldMask Optional. Not specified means update all. Currently, only display_name can be updated, an InvalidArgument will be returned for attempting to update other fields.

UpdateParticipantRequest

The request message for Participants.UpdateParticipant.

Fields
participant	Participant Required. The participant to update. Authorization requires the following IAM permission on the specified resource participant: dialogflow.participants.create
update_mask	FieldMask Required. The mask to specify which fields to update.

UpdateSessionEntityTypeRequest

The request message for SessionEntityTypes.UpdateSessionEntityType.

Fields
session_entity_type	SessionEntityType Required. The session entity type to update. Authorization requires the following IAM permission on the specified resource sessionEntityType: dialogflow.sessionEntityTypes.update
update_mask	FieldMask Optional. The mask to control which fields get updated.

UpdateVersionRequest

The request message for Versions.UpdateVersion.

Fields
version	Version Required. The version to update. Supported formats: projects/<Project ID>/agent/versions/<Version ID> projects/<Project ID>/locations/<Location ID>/agent/versions/<Version ID> Authorization requires the following IAM permission on the specified resource version: dialogflow.versions.update
update_mask	FieldMask Required. The mask to control which fields get updated.

ValidationError

Represents a single validation error.

Fields
severity	Severity The severity of the error.
entries[]	string The names of the entries that the error is associated with. Format: projects/<Project ID>/agent, if the error is associated with the entire agent. projects/<Project ID>/agent/intents/<Intent ID>, if the error is associated with certain intents. projects/<Project ID>/agent/intents/<Intent Id>/trainingPhrases/<Training Phrase ID>, if the error is associated with certain intent training phrases. projects/<Project ID>/agent/intents/<Intent Id>/parameters/<Parameter ID>, if the error is associated with certain intent parameters. projects/<Project ID>/agent/entities/<Entity ID>, if the error is associated with certain entities.
error_message	string The detailed error message.

Severity

Represents a level of severity.

Enums
SEVERITY_UNSPECIFIED	Not specified. This value should never be used.
INFO	The agent doesn't follow Dialogflow best practices.
WARNING	The agent may not behave as expected.
ERROR	The agent may experience partial failures.
CRITICAL	The agent may completely fail.

ValidationResult

Represents the output of agent validation.

Fields
validation_errors[]	ValidationError Contains all validation errors.

Version

You can create multiple versions of your agent and publish them to separate environments.

When you edit an agent, you are editing the draft agent. At any point, you can save the draft agent as an agent version, which is an immutable snapshot of your agent.

When you save the draft agent, it is published to the default environment. When you create agent versions, you can publish them to custom environments. You can create a variety of custom environments for:

• testing
• development
• production
• etc.

For more information, see the versions and environments guide.

Fields
name	string Output only. The unique identifier of this agent version. Supported formats: projects/<Project ID>/agent/versions/<Version ID> projects/<Project ID>/locations/<Location ID>/agent/versions/<Version ID>
description	string Optional. The developer-provided description of this version.
version_number	int32 Output only. The sequential number of this version. This field is read-only which means it cannot be set by create and update methods.
create_time	Timestamp Output only. The creation time of this version. This field is read-only, i.e., it cannot be set by create and update methods.
status	VersionStatus Output only. The status of this version. This field is read-only and cannot be set by create and update methods.

VersionStatus

The status of a version.

Enums
VERSION_STATUS_UNSPECIFIED	Not specified. This value is not used.
IN_PROGRESS	Version is not ready to serve (e.g. training is in progress).
READY	Version is ready to serve.
FAILED	Version training failed.

VoiceSelectionParams

Description of which voice to use for speech synthesis.

Fields
name	string Optional. The name of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and ssml_gender.
ssml_gender	SsmlVoiceGender Optional. The preferred gender of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and name. Note that this is only a preference, not requirement. If a voice of the appropriate gender is not available, the synthesizer should substitute a voice with a different gender rather than failing the request.

WebhookRequest

The request message for a webhook call.

Fields
session	string The unique identifier of detectIntent request session. Can be used to identify end-user inside webhook implementation. Format: projects/<Project ID>/agent/sessions/<Session ID>, or projects/<Project ID>/agent/environments/<Environment ID>/users/<User ID>/sessions/<Session ID>.
response_id	string The unique identifier of the response. Contains the same value as [Streaming]DetectIntentResponse.response_id.
query_result	QueryResult The result of the conversational query or event processing. Contains the same value as [Streaming]DetectIntentResponse.query_result.
original_detect_intent_request	OriginalDetectIntentRequest Optional. The contents of the original request that was passed to [Streaming]DetectIntent call.

WebhookResponse

The response message for a webhook call.

This response is validated by the Dialogflow server. If validation fails, an error will be returned in the QueryResult.diagnostic_info field. Setting JSON fields to an empty value with the wrong type is a common error. To avoid this error:

• Use "" for empty strings
• Use {} or null for empty objects
• Use [] or null for empty arrays

For more information, see the Protocol Buffers Language Guide.

Fields
fulfillment_text	string Optional. The text response message intended for the end-user. It is recommended to use fulfillment_messages.text.text[0] instead. When provided, Dialogflow uses this field to populate QueryResult.fulfillment_text sent to the integration or API caller.
fulfillment_messages[]	Message Optional. The rich response messages intended for the end-user. When provided, Dialogflow uses this field to populate QueryResult.fulfillment_messages sent to the integration or API caller.
source	string Optional. A custom field used to identify the webhook source. Arbitrary strings are supported. When provided, Dialogflow uses this field to populate QueryResult.webhook_source sent to the integration or API caller.
payload	Struct Optional. This field can be used to pass custom data from your webhook to the integration or API caller. Arbitrary JSON objects are supported. When provided, Dialogflow uses this field to populate QueryResult.webhook_payload sent to the integration or API caller. This field is also used by the Google Assistant integration for rich response messages. See the format definition at Google Assistant Dialogflow webhook format
output_contexts[]	Context Optional. The collection of output contexts that will overwrite currently active contexts for the session and reset their lifespans. When provided, Dialogflow uses this field to populate QueryResult.output_contexts sent to the integration or API caller.
followup_event_input	EventInput Optional. Invokes the supplied events. When this field is set, Dialogflow ignores the fulfillment_text, fulfillment_messages, and payload fields.
session_entity_types[]	SessionEntityType Optional. Additional session entity types to replace or extend developer entity types with. The entity synonyms apply to all languages and persist for the session. Setting this data from a webhook overwrites the session entity types that have been set using detectIntent, streamingDetectIntent or SessionEntityType management methods.