Module google_dialogflow2_beta1::api

Structs

Dialogflow	Central instance to access all Dialogflow related resource activities
GoogleCloudDialogflowV2beta1Agent	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.
GoogleCloudDialogflowV2beta1AgentAssistantFeedback	Detail feedback of Agent Assistant result.
GoogleCloudDialogflowV2beta1AgentAssistantFeedbackSummarizationFeedback	Feedback for conversation summarization.
GoogleCloudDialogflowV2beta1AgentAssistantRecord	Represents a record of a human agent assistant answer.
GoogleCloudDialogflowV2beta1AnalyzeContentRequest	The request message for Participants.AnalyzeContent.
GoogleCloudDialogflowV2beta1AnalyzeContentResponse	The response message for Participants.AnalyzeContent.
GoogleCloudDialogflowV2beta1AnnotatedMessagePart	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.
GoogleCloudDialogflowV2beta1AnswerFeedback	Represents feedback the customer has about the quality & correctness of a certain answer in a conversation.
GoogleCloudDialogflowV2beta1AnswerRecord	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 UpdateAnswerRecord method to send feedback about a specific answer that they believe is wrong.
GoogleCloudDialogflowV2beta1ArticleAnswer	Represents article answer.
GoogleCloudDialogflowV2beta1AutomatedAgentConfig	Defines the Automated Agent to connect to a conversation.
GoogleCloudDialogflowV2beta1AutomatedAgentReply	Represents a response from an automated agent.
GoogleCloudDialogflowV2beta1BatchCreateEntitiesRequest	The request message for EntityTypes.BatchCreateEntities.
GoogleCloudDialogflowV2beta1BatchCreateMessagesRequest	The request message for Conversations.BatchCreateMessagesRequest.
GoogleCloudDialogflowV2beta1BatchCreateMessagesResponse	The request message for Conversations.BatchCreateMessagesResponse.
GoogleCloudDialogflowV2beta1BatchDeleteEntitiesRequest	The request message for EntityTypes.BatchDeleteEntities.
GoogleCloudDialogflowV2beta1BatchDeleteEntityTypesRequest	The request message for EntityTypes.BatchDeleteEntityTypes.
GoogleCloudDialogflowV2beta1BatchDeleteIntentsRequest	The request message for Intents.BatchDeleteIntents.
GoogleCloudDialogflowV2beta1BatchUpdateEntitiesRequest	The request message for EntityTypes.BatchUpdateEntities.
GoogleCloudDialogflowV2beta1BatchUpdateEntityTypesRequest	The request message for EntityTypes.BatchUpdateEntityTypes.
GoogleCloudDialogflowV2beta1BatchUpdateIntentsRequest	The request message for Intents.BatchUpdateIntents.
GoogleCloudDialogflowV2beta1CompileSuggestionRequest	The request message for Participants.CompileSuggestion.
GoogleCloudDialogflowV2beta1CompileSuggestionResponse	The response message for Participants.CompileSuggestion.
GoogleCloudDialogflowV2beta1CompleteConversationRequest	The request message for Conversations.CompleteConversation.
GoogleCloudDialogflowV2beta1Context	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.
GoogleCloudDialogflowV2beta1Conversation	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.
GoogleCloudDialogflowV2beta1ConversationPhoneNumber	Represents a phone number for telephony integration. It allows for connecting a particular conversation over telephony.
GoogleCloudDialogflowV2beta1ConversationProfile	Defines the services to connect to incoming Dialogflow conversations.
GoogleCloudDialogflowV2beta1CreateMessageRequest	The request message to create one Message. Currently it is only used in BatchCreateMessagesRequest.
GoogleCloudDialogflowV2beta1DetectIntentRequest	The request to detect user’s intent.
GoogleCloudDialogflowV2beta1DetectIntentResponse	The message returned from the DetectIntent method.
GoogleCloudDialogflowV2beta1Document	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.
GoogleCloudDialogflowV2beta1DocumentReloadStatus	The status of a reload attempt.
GoogleCloudDialogflowV2beta1DtmfParameters	The message in the response that indicates the parameters of DTMF.
GoogleCloudDialogflowV2beta1EntityType	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.
GoogleCloudDialogflowV2beta1EntityTypeBatch	This message is a wrapper around a collection of entity types.
GoogleCloudDialogflowV2beta1EntityTypeEntity	An entity entry for an associated entity type.
GoogleCloudDialogflowV2beta1Environment	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.
GoogleCloudDialogflowV2beta1EventInput	Events allow for matching intents by event name instead of the natural language input. For instance, input `` 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?".
GoogleCloudDialogflowV2beta1ExportAgentRequest	The request message for Agents.ExportAgent.
GoogleCloudDialogflowV2beta1FaqAnswer	Represents answer from “frequently asked questions”.
GoogleCloudDialogflowV2beta1Fulfillment	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.
GoogleCloudDialogflowV2beta1FulfillmentFeature	Whether fulfillment is enabled for the specific feature.
GoogleCloudDialogflowV2beta1FulfillmentGenericWebService	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.
GoogleCloudDialogflowV2beta1GcsSource	Google Cloud Storage location for single input.
GoogleCloudDialogflowV2beta1GcsSources	Google Cloud Storage locations for the inputs.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfig	Defines the Human Agent Assistant to connect to a conversation.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigConversationModelConfig	Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigMessageAnalysisConfig	Configuration for analyses to run on each conversation message.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigSuggestionConfig	Detail human agent assistant config.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigSuggestionFeatureConfig	Config for suggestion features.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigSuggestionQueryConfig	Config for suggestion query.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigSuggestionQueryConfigContextFilterSettings	Settings that determine how to filter recent conversation context when generating suggestions.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigSuggestionQueryConfigDialogflowQuerySource	Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigSuggestionQueryConfigDocumentQuerySource	Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigSuggestionQueryConfigKnowledgeBaseQuerySource	Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ.
GoogleCloudDialogflowV2beta1HumanAgentAssistantConfigSuggestionTriggerSettings	Settings of suggestion trigger.
GoogleCloudDialogflowV2beta1HumanAgentHandoffConfig	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.
GoogleCloudDialogflowV2beta1HumanAgentHandoffConfigLivePersonConfig	Configuration specific to LivePerson (https://www.liveperson.com).
GoogleCloudDialogflowV2beta1HumanAgentHandoffConfigSalesforceLiveAgentConfig	Configuration specific to Salesforce Live Agent.
GoogleCloudDialogflowV2beta1ImportAgentRequest	The request message for Agents.ImportAgent.
GoogleCloudDialogflowV2beta1ImportDocumentTemplate	The template used for importing documents.
GoogleCloudDialogflowV2beta1ImportDocumentsRequest	Request message for Documents.ImportDocuments.
GoogleCloudDialogflowV2beta1InputAudioConfig	Instructs the speech recognizer on how to process the audio content.
GoogleCloudDialogflowV2beta1Intent	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.
GoogleCloudDialogflowV2beta1IntentBatch	This message is a wrapper around a collection of intents.
GoogleCloudDialogflowV2beta1IntentFollowupIntentInfo	Represents a single followup intent in the chain.
GoogleCloudDialogflowV2beta1IntentMessage	Corresponds to the Response field in the Dialogflow console.
GoogleCloudDialogflowV2beta1IntentMessageBasicCard	The basic card message. Useful for displaying information.
GoogleCloudDialogflowV2beta1IntentMessageBasicCardButton	The button object that appears at the bottom of a card.
GoogleCloudDialogflowV2beta1IntentMessageBasicCardButtonOpenUriAction	Opens the given URI.
GoogleCloudDialogflowV2beta1IntentMessageBrowseCarouselCard	Browse Carousel Card for Actions on Google. https://developers.google.com/actions/assistant/responses#browsing_carousel
GoogleCloudDialogflowV2beta1IntentMessageBrowseCarouselCardBrowseCarouselCardItem	Browsing carousel tile
GoogleCloudDialogflowV2beta1IntentMessageBrowseCarouselCardBrowseCarouselCardItemOpenUrlAction	Actions on Google action to open a given url.
GoogleCloudDialogflowV2beta1IntentMessageCard	The card response message.
GoogleCloudDialogflowV2beta1IntentMessageCardButton	Optional. Contains information about a button.
GoogleCloudDialogflowV2beta1IntentMessageCarouselSelect	The card for presenting a carousel of options to select from.
GoogleCloudDialogflowV2beta1IntentMessageCarouselSelectItem	An item in the carousel.
GoogleCloudDialogflowV2beta1IntentMessageColumnProperties	Column properties for TableCard.
GoogleCloudDialogflowV2beta1IntentMessageImage	The image response message.
GoogleCloudDialogflowV2beta1IntentMessageLinkOutSuggestion	The suggestion chip message that allows the user to jump out to the app or website associated with this agent.
GoogleCloudDialogflowV2beta1IntentMessageListSelect	The card for presenting a list of options to select from.
GoogleCloudDialogflowV2beta1IntentMessageListSelectItem	An item in the list.
GoogleCloudDialogflowV2beta1IntentMessageMediaContent	The media content card for Actions on Google.
GoogleCloudDialogflowV2beta1IntentMessageMediaContentResponseMediaObject	Response media object for media content card.
GoogleCloudDialogflowV2beta1IntentMessageQuickReplies	The quick replies response message.
GoogleCloudDialogflowV2beta1IntentMessageRbmCardContent	Rich Business Messaging (RBM) Card content
GoogleCloudDialogflowV2beta1IntentMessageRbmCardContentRbmMedia	Rich Business Messaging (RBM) Media displayed in Cards The following media-types are currently supported: Image Types * image/jpeg * image/jpg’ * image/gif * image/png Video Types * video/h263 * video/m4v * video/mp4 * video/mpeg * video/mpeg4 * video/webm
GoogleCloudDialogflowV2beta1IntentMessageRbmCarouselCard	Carousel Rich Business Messaging (RBM) rich card. Rich cards allow you to respond to users with more vivid content, e.g. with media and suggestions. If you want to show a single card with more control over the layout, please use RbmStandaloneCard instead.
GoogleCloudDialogflowV2beta1IntentMessageRbmStandaloneCard	Standalone Rich Business Messaging (RBM) rich card. Rich cards allow you to respond to users with more vivid content, e.g. with media and suggestions. You can group multiple rich cards into one using RbmCarouselCard but carousel cards will give you less control over the card layout.
GoogleCloudDialogflowV2beta1IntentMessageRbmSuggestedAction	Rich Business Messaging (RBM) suggested client-side action that the user can choose from the card.
GoogleCloudDialogflowV2beta1IntentMessageRbmSuggestedActionRbmSuggestedActionDial	Opens the user’s default dialer app with the specified phone number but does not dial automatically.
GoogleCloudDialogflowV2beta1IntentMessageRbmSuggestedActionRbmSuggestedActionOpenUri	Opens the user’s default web browser app to the specified uri If the user has an app installed that is registered as the default handler for the URL, then this app will be opened instead, and its icon will be used in the suggested action UI.
GoogleCloudDialogflowV2beta1IntentMessageRbmSuggestedActionRbmSuggestedActionShareLocation	Opens the device’s location chooser so the user can pick a location to send back to the agent.
GoogleCloudDialogflowV2beta1IntentMessageRbmSuggestedReply	Rich Business Messaging (RBM) suggested reply that the user can click instead of typing in their own response.
GoogleCloudDialogflowV2beta1IntentMessageRbmSuggestion	Rich Business Messaging (RBM) suggestion. Suggestions allow user to easily select/click a predefined response or perform an action (like opening a web uri).
GoogleCloudDialogflowV2beta1IntentMessageRbmText	Rich Business Messaging (RBM) text response with suggestions.
GoogleCloudDialogflowV2beta1IntentMessageSelectItemInfo	Additional info about the select item for when it is triggered in a dialog.
GoogleCloudDialogflowV2beta1IntentMessageSimpleResponse	The simple response message containing speech or text.
GoogleCloudDialogflowV2beta1IntentMessageSimpleResponses	The collection of simple response candidates. This message in QueryResult.fulfillment_messages and WebhookResponse.fulfillment_messages should contain only one SimpleResponse.
GoogleCloudDialogflowV2beta1IntentMessageSuggestion	The suggestion chip message that the user can tap to quickly post a reply to the conversation.
GoogleCloudDialogflowV2beta1IntentMessageSuggestions	The collection of suggestions.
GoogleCloudDialogflowV2beta1IntentMessageTableCard	Table card for Actions on Google.
GoogleCloudDialogflowV2beta1IntentMessageTableCardCell	Cell of TableCardRow.
GoogleCloudDialogflowV2beta1IntentMessageTableCardRow	Row of TableCard.
GoogleCloudDialogflowV2beta1IntentMessageTelephonyPlayAudio	Plays audio from a file in Telephony Gateway.
GoogleCloudDialogflowV2beta1IntentMessageTelephonySynthesizeSpeech	Synthesizes speech and plays back the synthesized audio to the caller in Telephony Gateway. Telephony Gateway takes the synthesizer settings from DetectIntentResponse.output_audio_config which can either be set at request-level or can come from the agent-level synthesizer config.
GoogleCloudDialogflowV2beta1IntentMessageTelephonyTransferCall	Transfers the call in Telephony Gateway.
GoogleCloudDialogflowV2beta1IntentMessageText	The text response message.
GoogleCloudDialogflowV2beta1IntentParameter	Represents intent parameters.
GoogleCloudDialogflowV2beta1IntentTrainingPhrase	Represents an example that the agent is trained on.
GoogleCloudDialogflowV2beta1IntentTrainingPhrasePart	Represents a part of a training phrase.
GoogleCloudDialogflowV2beta1KnowledgeAnswers	Represents the result of querying a Knowledge base.
GoogleCloudDialogflowV2beta1KnowledgeAnswersAnswer	An answer from Knowledge Connector.
GoogleCloudDialogflowV2beta1KnowledgeBase	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.
GoogleCloudDialogflowV2beta1ListAnswerRecordsResponse	Response message for AnswerRecords.ListAnswerRecords.
GoogleCloudDialogflowV2beta1ListContextsResponse	The response message for Contexts.ListContexts.
GoogleCloudDialogflowV2beta1ListConversationProfilesResponse	The response message for ConversationProfiles.ListConversationProfiles.
GoogleCloudDialogflowV2beta1ListConversationsResponse	The response message for Conversations.ListConversations.
GoogleCloudDialogflowV2beta1ListDocumentsResponse	Response message for Documents.ListDocuments.
GoogleCloudDialogflowV2beta1ListEntityTypesResponse	The response message for EntityTypes.ListEntityTypes.
GoogleCloudDialogflowV2beta1ListEnvironmentsResponse	The response message for Environments.ListEnvironments.
GoogleCloudDialogflowV2beta1ListIntentsResponse	The response message for Intents.ListIntents.
GoogleCloudDialogflowV2beta1ListKnowledgeBasesResponse	Response message for KnowledgeBases.ListKnowledgeBases.
GoogleCloudDialogflowV2beta1ListMessagesResponse	The response message for Conversations.ListMessages.
GoogleCloudDialogflowV2beta1ListParticipantsResponse	The response message for Participants.ListParticipants.
GoogleCloudDialogflowV2beta1ListSessionEntityTypesResponse	The response message for SessionEntityTypes.ListSessionEntityTypes.
GoogleCloudDialogflowV2beta1ListSuggestionsResponse	The response message for Participants.ListSuggestions.
GoogleCloudDialogflowV2beta1LoggingConfig	Defines logging behavior for conversation lifecycle events.
GoogleCloudDialogflowV2beta1Message	Represents a message posted into a conversation.
GoogleCloudDialogflowV2beta1MessageAnnotation	Represents the result of annotation for the message.
GoogleCloudDialogflowV2beta1NotificationConfig	Defines notification behavior.
GoogleCloudDialogflowV2beta1OutputAudio	Represents the natural language speech audio to be played to the end user.
GoogleCloudDialogflowV2beta1OutputAudioConfig	Instructs the speech synthesizer 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.
GoogleCloudDialogflowV2beta1Participant	Represents a conversation participant (human agent, virtual agent, end-user).
GoogleCloudDialogflowV2beta1QueryInput	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.
GoogleCloudDialogflowV2beta1QueryParameters	Represents the parameters of the conversational query.
GoogleCloudDialogflowV2beta1QueryResult	Represents the result of conversational query or event processing.
GoogleCloudDialogflowV2beta1ReloadDocumentRequest	Request message for Documents.ReloadDocument.
GoogleCloudDialogflowV2beta1ResponseMessage	Response messages from an automated agent.
GoogleCloudDialogflowV2beta1ResponseMessageEndInteraction	Indicates that interaction with the Dialogflow agent has ended.
GoogleCloudDialogflowV2beta1ResponseMessageLiveAgentHandoff	Indicates that the conversation should be handed off to a human agent. Dialogflow only uses this to determine which conversations were handed off to a human agent for measurement purposes. What else to do with this signal is up to you and your handoff procedures. You may set this, for example: * In the entry fulfillment of a CX Page if entering the page indicates something went extremely wrong in the conversation. * In a webhook response when you determine that the customer issue can only be handled by a human.
GoogleCloudDialogflowV2beta1ResponseMessageText	The text response message.
GoogleCloudDialogflowV2beta1RestoreAgentRequest	The request message for Agents.RestoreAgent.
GoogleCloudDialogflowV2beta1SearchAgentsResponse	The response message for Agents.SearchAgents.
GoogleCloudDialogflowV2beta1Sentiment	The sentiment, such as positive/negative feeling or association, for a unit of analysis, such as the query text.
GoogleCloudDialogflowV2beta1SentimentAnalysisRequestConfig	Configures the types of sentiment analysis to perform.
GoogleCloudDialogflowV2beta1SentimentAnalysisResult	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 Participants.DetectIntent, it needs to be configured in DetectIntentRequest.query_params. For Participants.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
GoogleCloudDialogflowV2beta1SessionEntityType	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.
GoogleCloudDialogflowV2beta1SmartReplyAnswer	Represents a smart reply answer.
GoogleCloudDialogflowV2beta1SpeechContext	Hints for the speech recognizer to help with recognition in a specific conversation state.
GoogleCloudDialogflowV2beta1SpeechToTextConfig	Configures speech transcription for ConversationProfile.
GoogleCloudDialogflowV2beta1SubAgent	Contains basic configuration for a sub-agent.
GoogleCloudDialogflowV2beta1SuggestArticlesRequest	The request message for Participants.SuggestArticles.
GoogleCloudDialogflowV2beta1SuggestArticlesResponse	The response message for Participants.SuggestArticles.
GoogleCloudDialogflowV2beta1SuggestFaqAnswersRequest	The request message for Participants.SuggestFaqAnswers.
GoogleCloudDialogflowV2beta1SuggestFaqAnswersResponse	The request message for Participants.SuggestFaqAnswers.
GoogleCloudDialogflowV2beta1SuggestSmartRepliesRequest	The request message for Participants.SuggestSmartReplies.
GoogleCloudDialogflowV2beta1SuggestSmartRepliesResponse	The response message for Participants.SuggestSmartReplies.
GoogleCloudDialogflowV2beta1Suggestion	Represents a suggestion for a human agent.
GoogleCloudDialogflowV2beta1SuggestionArticle	Represents suggested article.
GoogleCloudDialogflowV2beta1SuggestionFaqAnswer	Represents suggested answer from “frequently asked questions”.
GoogleCloudDialogflowV2beta1SuggestionFeature	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.
GoogleCloudDialogflowV2beta1SuggestionResult	One response of different type of suggestion response which is used in the response of Participants.AnalyzeContent and Participants.AnalyzeContent, as well as HumanAgentAssistantEvent.
GoogleCloudDialogflowV2beta1SynthesizeSpeechConfig	Configuration of how speech should be synthesized.
GoogleCloudDialogflowV2beta1TelephonyDtmfEvents	A wrapper of repeated TelephonyDtmf digits.
GoogleCloudDialogflowV2beta1TextInput	Represents the natural language text to be processed.
GoogleCloudDialogflowV2beta1TrainAgentRequest	The request message for Agents.TrainAgent.
GoogleCloudDialogflowV2beta1ValidationError	Represents a single validation error.
GoogleCloudDialogflowV2beta1ValidationResult	Represents the output of agent validation.
GoogleCloudDialogflowV2beta1VoiceSelectionParams	Description of which voice to use for speech synthesis.
GoogleLongrunningListOperationsResponse	The response message for Operations.ListOperations.
GoogleLongrunningOperation	This resource represents a long-running operation that is the result of a network API call.
GoogleProtobufEmpty	A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.
GoogleRpcStatus	The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.
GoogleTypeLatLng	An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this must conform to the WGS84 standard. Values must be within normalized ranges.
ProjectAgentEntityTypeBatchDeleteCall	Deletes entity types in the specified agent. Operation
ProjectAgentEntityTypeBatchUpdateCall	Updates/Creates multiple entity types in the specified agent. Operation
ProjectAgentEntityTypeCreateCall	Creates an entity type in the specified agent.
ProjectAgentEntityTypeDeleteCall	Deletes the specified entity type.
ProjectAgentEntityTypeEntityBatchCreateCall	Creates multiple new entities in the specified entity type. Operation
ProjectAgentEntityTypeEntityBatchDeleteCall	Deletes entities in the specified entity type. Operation
ProjectAgentEntityTypeEntityBatchUpdateCall	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. Operation
ProjectAgentEntityTypeGetCall	Retrieves the specified entity type.
ProjectAgentEntityTypeListCall	Returns the list of all entity types in the specified agent.
ProjectAgentEntityTypePatchCall	Updates the specified entity type.
ProjectAgentEnvironmentIntentListCall	Returns the list of all intents in the specified agent.
ProjectAgentEnvironmentListCall	Returns the list of all non-draft environments of the specified agent.
ProjectAgentEnvironmentUserSessionContextCreateCall	Creates a context. If the specified context already exists, overrides the context.
ProjectAgentEnvironmentUserSessionContextDeleteCall	Deletes the specified context.
ProjectAgentEnvironmentUserSessionContextGetCall	Retrieves the specified context.
ProjectAgentEnvironmentUserSessionContextListCall	Returns the list of all contexts in the specified session.
ProjectAgentEnvironmentUserSessionContextPatchCall	Updates the specified context.
ProjectAgentEnvironmentUserSessionDeleteContextCall	Deletes all active contexts in the specified session.
ProjectAgentEnvironmentUserSessionDetectIntentCall	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. Note: Always use agent versions for production traffic. See Versions and environments.
ProjectAgentEnvironmentUserSessionEntityTypeCreateCall	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.
ProjectAgentEnvironmentUserSessionEntityTypeDeleteCall	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.
ProjectAgentEnvironmentUserSessionEntityTypeGetCall	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.
ProjectAgentEnvironmentUserSessionEntityTypeListCall	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.
ProjectAgentEnvironmentUserSessionEntityTypePatchCall	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.
ProjectAgentExportCall	Exports the specified agent to a ZIP file. Operation
ProjectAgentGetFulfillmentCall	Retrieves the fulfillment.
ProjectAgentGetValidationResultCall	Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed.
ProjectAgentImportCall	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. Operation An operation which tracks when importing is complete. It only tracks when the draft agent is updated not when it is done training.
ProjectAgentIntentBatchDeleteCall	Deletes intents in the specified agent. Operation
ProjectAgentIntentBatchUpdateCall	Updates/Creates multiple intents in the specified agent. Operation
ProjectAgentIntentCreateCall	Creates an intent in the specified agent.
ProjectAgentIntentDeleteCall	Deletes the specified intent and its direct or indirect followup intents.
ProjectAgentIntentGetCall	Retrieves the specified intent.
ProjectAgentIntentListCall	Returns the list of all intents in the specified agent.
ProjectAgentIntentPatchCall	Updates the specified intent.
ProjectAgentKnowledgeBaseCreateCall	Creates a knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectAgentKnowledgeBaseDeleteCall	Deletes the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectAgentKnowledgeBaseDocumentCreateCall	Creates a new document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectAgentKnowledgeBaseDocumentDeleteCall	Deletes the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectAgentKnowledgeBaseDocumentGetCall	Retrieves the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectAgentKnowledgeBaseDocumentListCall	Returns the list of all documents of the knowledge base. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectAgentKnowledgeBaseDocumentPatchCall	Updates the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectAgentKnowledgeBaseDocumentReloadCall	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. Note: If the document source is Google Cloud Storage URI, its metadata will be replaced with the custom metadata from Google Cloud Storage if the import_gcs_custom_metadata field is set to true in the request. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectAgentKnowledgeBaseGetCall	Retrieves the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectAgentKnowledgeBaseListCall	Returns the list of all knowledge bases of the specified agent. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectAgentKnowledgeBasePatchCall	Updates the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectAgentRestoreCall	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. Operation An operation which tracks when restoring is complete. It only tracks when the draft agent is updated not when it is done training.
ProjectAgentSearchCall	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.
ProjectAgentSessionContextCreateCall	Creates a context. If the specified context already exists, overrides the context.
ProjectAgentSessionContextDeleteCall	Deletes the specified context.
ProjectAgentSessionContextGetCall	Retrieves the specified context.
ProjectAgentSessionContextListCall	Returns the list of all contexts in the specified session.
ProjectAgentSessionContextPatchCall	Updates the specified context.
ProjectAgentSessionDeleteContextCall	Deletes all active contexts in the specified session.
ProjectAgentSessionDetectIntentCall	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. Note: Always use agent versions for production traffic. See Versions and environments.
ProjectAgentSessionEntityTypeCreateCall	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.
ProjectAgentSessionEntityTypeDeleteCall	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.
ProjectAgentSessionEntityTypeGetCall	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.
ProjectAgentSessionEntityTypeListCall	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.
ProjectAgentSessionEntityTypePatchCall	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.
ProjectAgentTrainCall	Trains the specified agent. Operation
ProjectAgentUpdateFulfillmentCall	Updates the fulfillment.
ProjectAnswerRecordGetCall	Deprecated. Retrieves a specific answer record.
ProjectAnswerRecordListCall	Returns the list of all answer records in the specified project in reverse chronological order.
ProjectAnswerRecordPatchCall	Updates the specified answer record.
ProjectConversationCompleteCall	Completes the specified conversation. Finished conversations are purged from the database after 30 days.
ProjectConversationCreateCall	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.
ProjectConversationGetCall	Retrieves the specific conversation.
ProjectConversationListCall	Returns the list of all conversations in the specified project.
ProjectConversationMessageBatchCreateCall	Batch ingests messages to conversation. Customers can use this RPC to ingest historical messages to conversation.
ProjectConversationMessageListCall	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.
ProjectConversationParticipantAnalyzeContentCall	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.
ProjectConversationParticipantCreateCall	Creates a new participant in a conversation.
ProjectConversationParticipantGetCall	Retrieves a conversation participant.
ProjectConversationParticipantListCall	Returns the list of all participants in the specified conversation.
ProjectConversationParticipantPatchCall	Updates the specified participant.
ProjectConversationParticipantSuggestionCompileCall	Deprecated. use SuggestArticles and SuggestFaqAnswers instead. Gets suggestions for a participant based on specific historical messages. Note that ListSuggestions will only list the auto-generated suggestions, while CompileSuggestion will try to compile suggestion based on the provided conversation context in the real time.
ProjectConversationParticipantSuggestionListCall	Deprecated: Use inline suggestion, event based suggestion or Suggestion* API instead. See HumanAgentAssistantConfig.name for more details. Removal Date: 2020-09-01. Retrieves suggestions for live agents. This method should be used by human agent client software to fetch auto generated suggestions in real-time, while the conversation with an end user is in progress. The functionality is implemented in terms of the list pagination design pattern. The client app should use the next_page_token field to fetch the next batch of suggestions. suggestions are sorted by create_time in descending order. To fetch latest suggestion, just set page_size to 1. To fetch new suggestions without duplication, send request with filter create_time_epoch_microseconds > [first item's create_time of previous request] and empty page_token.
ProjectConversationParticipantSuggestionSuggestArticleCall	Gets suggested articles for a participant based on specific historical messages. Note that ListSuggestions will only list the auto-generated suggestions, while CompileSuggestion will try to compile suggestion based on the provided conversation context in the real time.
ProjectConversationParticipantSuggestionSuggestFaqAnswerCall	Gets suggested faq answers for a participant based on specific historical messages.
ProjectConversationParticipantSuggestionSuggestSmartReplyCall	Gets smart replies for a participant based on specific historical messages.
ProjectConversationProfileCreateCall	Creates a conversation profile in the specified project. ConversationProfile.CreateTime and ConversationProfile.UpdateTime aren’t populated in the response. You can retrieve them via GetConversationProfile API.
ProjectConversationProfileDeleteCall	Deletes the specified conversation profile.
ProjectConversationProfileGetCall	Retrieves the specified conversation profile.
ProjectConversationProfileListCall	Returns the list of all conversation profiles in the specified project.
ProjectConversationProfilePatchCall	Updates the specified conversation profile. ConversationProfile.CreateTime and ConversationProfile.UpdateTime aren’t populated in the response. You can retrieve them via GetConversationProfile API.
ProjectDeleteAgentCall	Deletes the specified agent.
ProjectGetAgentCall	Retrieves the specified agent.
ProjectKnowledgeBaseCreateCall	Creates a knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectKnowledgeBaseDeleteCall	Deletes the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectKnowledgeBaseDocumentCreateCall	Creates a new document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectKnowledgeBaseDocumentDeleteCall	Deletes the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectKnowledgeBaseDocumentGetCall	Retrieves the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectKnowledgeBaseDocumentImportCall	Create documents by importing data from external sources.
ProjectKnowledgeBaseDocumentListCall	Returns the list of all documents of the knowledge base. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectKnowledgeBaseDocumentPatchCall	Updates the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectKnowledgeBaseDocumentReloadCall	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. Note: If the document source is Google Cloud Storage URI, its metadata will be replaced with the custom metadata from Google Cloud Storage if the import_gcs_custom_metadata field is set to true in the request. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectKnowledgeBaseGetCall	Retrieves the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectKnowledgeBaseListCall	Returns the list of all knowledge bases of the specified agent. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectKnowledgeBasePatchCall	Updates the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectLocationAgentEntityTypeBatchDeleteCall	Deletes entity types in the specified agent. Operation
ProjectLocationAgentEntityTypeBatchUpdateCall	Updates/Creates multiple entity types in the specified agent. Operation
ProjectLocationAgentEntityTypeCreateCall	Creates an entity type in the specified agent.
ProjectLocationAgentEntityTypeDeleteCall	Deletes the specified entity type.
ProjectLocationAgentEntityTypeEntityBatchCreateCall	Creates multiple new entities in the specified entity type. Operation
ProjectLocationAgentEntityTypeEntityBatchDeleteCall	Deletes entities in the specified entity type. Operation
ProjectLocationAgentEntityTypeEntityBatchUpdateCall	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. Operation
ProjectLocationAgentEntityTypeGetCall	Retrieves the specified entity type.
ProjectLocationAgentEntityTypeListCall	Returns the list of all entity types in the specified agent.
ProjectLocationAgentEntityTypePatchCall	Updates the specified entity type.
ProjectLocationAgentEnvironmentListCall	Returns the list of all non-draft environments of the specified agent.
ProjectLocationAgentEnvironmentUserSessionContextCreateCall	Creates a context. If the specified context already exists, overrides the context.
ProjectLocationAgentEnvironmentUserSessionContextDeleteCall	Deletes the specified context.
ProjectLocationAgentEnvironmentUserSessionContextGetCall	Retrieves the specified context.
ProjectLocationAgentEnvironmentUserSessionContextListCall	Returns the list of all contexts in the specified session.
ProjectLocationAgentEnvironmentUserSessionContextPatchCall	Updates the specified context.
ProjectLocationAgentEnvironmentUserSessionDeleteContextCall	Deletes all active contexts in the specified session.
ProjectLocationAgentEnvironmentUserSessionDetectIntentCall	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. Note: Always use agent versions for production traffic. See Versions and environments.
ProjectLocationAgentEnvironmentUserSessionEntityTypeCreateCall	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.
ProjectLocationAgentEnvironmentUserSessionEntityTypeDeleteCall	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.
ProjectLocationAgentEnvironmentUserSessionEntityTypeGetCall	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.
ProjectLocationAgentEnvironmentUserSessionEntityTypeListCall	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.
ProjectLocationAgentEnvironmentUserSessionEntityTypePatchCall	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.
ProjectLocationAgentExportCall	Exports the specified agent to a ZIP file. Operation
ProjectLocationAgentGetFulfillmentCall	Retrieves the fulfillment.
ProjectLocationAgentGetValidationResultCall	Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed.
ProjectLocationAgentImportCall	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. Operation An operation which tracks when importing is complete. It only tracks when the draft agent is updated not when it is done training.
ProjectLocationAgentIntentBatchDeleteCall	Deletes intents in the specified agent. Operation
ProjectLocationAgentIntentBatchUpdateCall	Updates/Creates multiple intents in the specified agent. Operation
ProjectLocationAgentIntentCreateCall	Creates an intent in the specified agent.
ProjectLocationAgentIntentDeleteCall	Deletes the specified intent and its direct or indirect followup intents.
ProjectLocationAgentIntentGetCall	Retrieves the specified intent.
ProjectLocationAgentIntentListCall	Returns the list of all intents in the specified agent.
ProjectLocationAgentIntentPatchCall	Updates the specified intent.
ProjectLocationAgentRestoreCall	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. Operation An operation which tracks when restoring is complete. It only tracks when the draft agent is updated not when it is done training.
ProjectLocationAgentSearchCall	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.
ProjectLocationAgentSessionContextCreateCall	Creates a context. If the specified context already exists, overrides the context.
ProjectLocationAgentSessionContextDeleteCall	Deletes the specified context.
ProjectLocationAgentSessionContextGetCall	Retrieves the specified context.
ProjectLocationAgentSessionContextListCall	Returns the list of all contexts in the specified session.
ProjectLocationAgentSessionContextPatchCall	Updates the specified context.
ProjectLocationAgentSessionDeleteContextCall	Deletes all active contexts in the specified session.
ProjectLocationAgentSessionDetectIntentCall	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. Note: Always use agent versions for production traffic. See Versions and environments.
ProjectLocationAgentSessionEntityTypeCreateCall	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.
ProjectLocationAgentSessionEntityTypeDeleteCall	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.
ProjectLocationAgentSessionEntityTypeGetCall	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.
ProjectLocationAgentSessionEntityTypeListCall	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.
ProjectLocationAgentSessionEntityTypePatchCall	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.
ProjectLocationAgentTrainCall	Trains the specified agent. Operation
ProjectLocationAgentUpdateFulfillmentCall	Updates the fulfillment.
ProjectLocationAnswerRecordGetCall	Deprecated. Retrieves a specific answer record.
ProjectLocationAnswerRecordListCall	Returns the list of all answer records in the specified project in reverse chronological order.
ProjectLocationAnswerRecordPatchCall	Updates the specified answer record.
ProjectLocationConversationCompleteCall	Completes the specified conversation. Finished conversations are purged from the database after 30 days.
ProjectLocationConversationCreateCall	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.
ProjectLocationConversationGetCall	Retrieves the specific conversation.
ProjectLocationConversationListCall	Returns the list of all conversations in the specified project.
ProjectLocationConversationMessageBatchCreateCall	Batch ingests messages to conversation. Customers can use this RPC to ingest historical messages to conversation.
ProjectLocationConversationMessageListCall	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.
ProjectLocationConversationParticipantAnalyzeContentCall	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.
ProjectLocationConversationParticipantCreateCall	Creates a new participant in a conversation.
ProjectLocationConversationParticipantGetCall	Retrieves a conversation participant.
ProjectLocationConversationParticipantListCall	Returns the list of all participants in the specified conversation.
ProjectLocationConversationParticipantPatchCall	Updates the specified participant.
ProjectLocationConversationParticipantSuggestionSuggestArticleCall	Gets suggested articles for a participant based on specific historical messages. Note that ListSuggestions will only list the auto-generated suggestions, while CompileSuggestion will try to compile suggestion based on the provided conversation context in the real time.
ProjectLocationConversationParticipantSuggestionSuggestFaqAnswerCall	Gets suggested faq answers for a participant based on specific historical messages.
ProjectLocationConversationParticipantSuggestionSuggestSmartReplyCall	Gets smart replies for a participant based on specific historical messages.
ProjectLocationConversationProfileCreateCall	Creates a conversation profile in the specified project. ConversationProfile.CreateTime and ConversationProfile.UpdateTime aren’t populated in the response. You can retrieve them via GetConversationProfile API.
ProjectLocationConversationProfileDeleteCall	Deletes the specified conversation profile.
ProjectLocationConversationProfileGetCall	Retrieves the specified conversation profile.
ProjectLocationConversationProfileListCall	Returns the list of all conversation profiles in the specified project.
ProjectLocationConversationProfilePatchCall	Updates the specified conversation profile. ConversationProfile.CreateTime and ConversationProfile.UpdateTime aren’t populated in the response. You can retrieve them via GetConversationProfile API.
ProjectLocationDeleteAgentCall	Deletes the specified agent.
ProjectLocationGetAgentCall	Retrieves the specified agent.
ProjectLocationKnowledgeBaseCreateCall	Creates a knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectLocationKnowledgeBaseDeleteCall	Deletes the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectLocationKnowledgeBaseDocumentCreateCall	Creates a new document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectLocationKnowledgeBaseDocumentDeleteCall	Deletes the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectLocationKnowledgeBaseDocumentGetCall	Retrieves the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectLocationKnowledgeBaseDocumentImportCall	Create documents by importing data from external sources.
ProjectLocationKnowledgeBaseDocumentListCall	Returns the list of all documents of the knowledge base. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectLocationKnowledgeBaseDocumentPatchCall	Updates the specified document. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectLocationKnowledgeBaseDocumentReloadCall	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. Note: If the document source is Google Cloud Storage URI, its metadata will be replaced with the custom metadata from Google Cloud Storage if the import_gcs_custom_metadata field is set to true in the request. Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.
ProjectLocationKnowledgeBaseGetCall	Retrieves the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectLocationKnowledgeBaseListCall	Returns the list of all knowledge bases of the specified agent. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectLocationKnowledgeBasePatchCall	Updates the specified knowledge base. Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases.
ProjectLocationOperationCancelCall	Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED.
ProjectLocationOperationGetCall	Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
ProjectLocationOperationListCall	Lists operations that match the specified filter in the request. If the server doesn’t support this method, it returns UNIMPLEMENTED. NOTE: the name binding allows API services to override the binding to use different resource name schemes, such as users/*/operations. To override the binding, API services can add a binding such as "/v1/{name=users/*}/operations" to their service configuration. For backwards compatibility, the default name includes the operations collection id, however overriding users must ensure the name binding is the parent resource, without the operations collection id.
ProjectLocationSetAgentCall	Creates/updates the specified agent.
ProjectMethods	A builder providing access to all methods supported on project resources. It is not used directly, but through the Dialogflow hub.
ProjectOperationCancelCall	Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED.
ProjectOperationGetCall	Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
ProjectOperationListCall	Lists operations that match the specified filter in the request. If the server doesn’t support this method, it returns UNIMPLEMENTED. NOTE: the name binding allows API services to override the binding to use different resource name schemes, such as users/*/operations. To override the binding, API services can add a binding such as "/v1/{name=users/*}/operations" to their service configuration. For backwards compatibility, the default name includes the operations collection id, however overriding users must ensure the name binding is the parent resource, without the operations collection id.
ProjectSetAgentCall	Creates/updates the specified agent.

Enums

Scope

Identifies the an OAuth2 authorization scope. A scope is needed when requesting an authorization token.