Package Classes (2.30.2)

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Summary of entries of Classes for dialogflow.

Classes

AgentsAsyncClient

Service for managing Agents.

AgentsClient

Service for managing Agents.

SearchAgentsAsyncPager

A pager for iterating through search_agents requests.

This class thinly wraps an initial SearchAgentsResponse object, and provides an __aiter__ method to iterate through its agents field.

If there are more pages, the __aiter__ method will make additional SearchAgents requests and continue to iterate through the agents field on the corresponding responses.

All the usual SearchAgentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SearchAgentsPager

A pager for iterating through search_agents requests.

This class thinly wraps an initial SearchAgentsResponse object, and provides an __iter__ method to iterate through its agents field.

If there are more pages, the __iter__ method will make additional SearchAgents requests and continue to iterate through the agents field on the corresponding responses.

All the usual SearchAgentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

AnswerRecordsAsyncClient

Service for managing AnswerRecords.

AnswerRecordsClient

Service for managing AnswerRecords.

ListAnswerRecordsAsyncPager

A pager for iterating through list_answer_records requests.

This class thinly wraps an initial ListAnswerRecordsResponse object, and provides an __aiter__ method to iterate through its answer_records field.

If there are more pages, the __aiter__ method will make additional ListAnswerRecords requests and continue to iterate through the answer_records field on the corresponding responses.

All the usual ListAnswerRecordsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListAnswerRecordsPager

A pager for iterating through list_answer_records requests.

This class thinly wraps an initial ListAnswerRecordsResponse object, and provides an __iter__ method to iterate through its answer_records field.

If there are more pages, the __iter__ method will make additional ListAnswerRecords requests and continue to iterate through the answer_records field on the corresponding responses.

All the usual ListAnswerRecordsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ContextsAsyncClient

Service for managing Contexts.

ContextsClient

Service for managing Contexts.

ListContextsAsyncPager

A pager for iterating through list_contexts requests.

This class thinly wraps an initial ListContextsResponse object, and provides an __aiter__ method to iterate through its contexts field.

If there are more pages, the __aiter__ method will make additional ListContexts requests and continue to iterate through the contexts field on the corresponding responses.

All the usual ListContextsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListContextsPager

A pager for iterating through list_contexts requests.

This class thinly wraps an initial ListContextsResponse object, and provides an __iter__ method to iterate through its contexts field.

If there are more pages, the __iter__ method will make additional ListContexts requests and continue to iterate through the contexts field on the corresponding responses.

All the usual ListContextsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ConversationDatasetsAsyncClient

Conversation datasets.

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

ConversationDatasetsClient

Conversation datasets.

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

ListConversationDatasetsAsyncPager

A pager for iterating through list_conversation_datasets requests.

This class thinly wraps an initial ListConversationDatasetsResponse object, and provides an __aiter__ method to iterate through its conversation_datasets field.

If there are more pages, the __aiter__ method will make additional ListConversationDatasets requests and continue to iterate through the conversation_datasets field on the corresponding responses.

All the usual ListConversationDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListConversationDatasetsPager

A pager for iterating through list_conversation_datasets requests.

This class thinly wraps an initial ListConversationDatasetsResponse object, and provides an __iter__ method to iterate through its conversation_datasets field.

If there are more pages, the __iter__ method will make additional ListConversationDatasets requests and continue to iterate through the conversation_datasets field on the corresponding responses.

All the usual ListConversationDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ConversationModelsAsyncClient

Manages a collection of models for human agent assistant.

ConversationModelsClient

Manages a collection of models for human agent assistant.

ListConversationModelEvaluationsAsyncPager

A pager for iterating through list_conversation_model_evaluations requests.

This class thinly wraps an initial ListConversationModelEvaluationsResponse object, and provides an __aiter__ method to iterate through its conversation_model_evaluations field.

If there are more pages, the __aiter__ method will make additional ListConversationModelEvaluations requests and continue to iterate through the conversation_model_evaluations field on the corresponding responses.

All the usual ListConversationModelEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListConversationModelEvaluationsPager

A pager for iterating through list_conversation_model_evaluations requests.

This class thinly wraps an initial ListConversationModelEvaluationsResponse object, and provides an __iter__ method to iterate through its conversation_model_evaluations field.

If there are more pages, the __iter__ method will make additional ListConversationModelEvaluations requests and continue to iterate through the conversation_model_evaluations field on the corresponding responses.

All the usual ListConversationModelEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListConversationModelsAsyncPager

A pager for iterating through list_conversation_models requests.

This class thinly wraps an initial ListConversationModelsResponse object, and provides an __aiter__ method to iterate through its conversation_models field.

If there are more pages, the __aiter__ method will make additional ListConversationModels requests and continue to iterate through the conversation_models field on the corresponding responses.

All the usual ListConversationModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListConversationModelsPager

A pager for iterating through list_conversation_models requests.

This class thinly wraps an initial ListConversationModelsResponse object, and provides an __iter__ method to iterate through its conversation_models field.

If there are more pages, the __iter__ method will make additional ListConversationModels requests and continue to iterate through the conversation_models field on the corresponding responses.

All the usual ListConversationModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ConversationProfilesAsyncClient

Service for managing ConversationProfiles.

ConversationProfilesClient

Service for managing ConversationProfiles.

ListConversationProfilesAsyncPager

A pager for iterating through list_conversation_profiles requests.

This class thinly wraps an initial ListConversationProfilesResponse object, and provides an __aiter__ method to iterate through its conversation_profiles field.

If there are more pages, the __aiter__ method will make additional ListConversationProfiles requests and continue to iterate through the conversation_profiles field on the corresponding responses.

All the usual ListConversationProfilesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListConversationProfilesPager

A pager for iterating through list_conversation_profiles requests.

This class thinly wraps an initial ListConversationProfilesResponse object, and provides an __iter__ method to iterate through its conversation_profiles field.

If there are more pages, the __iter__ method will make additional ListConversationProfiles requests and continue to iterate through the conversation_profiles field on the corresponding responses.

All the usual ListConversationProfilesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ConversationsAsyncClient

Service for managing Conversations.

ConversationsClient

Service for managing Conversations.

ListConversationsAsyncPager

A pager for iterating through list_conversations requests.

This class thinly wraps an initial ListConversationsResponse object, and provides an __aiter__ method to iterate through its conversations field.

If there are more pages, the __aiter__ method will make additional ListConversations requests and continue to iterate through the conversations field on the corresponding responses.

All the usual ListConversationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListConversationsPager

A pager for iterating through list_conversations requests.

This class thinly wraps an initial ListConversationsResponse object, and provides an __iter__ method to iterate through its conversations field.

If there are more pages, the __iter__ method will make additional ListConversations requests and continue to iterate through the conversations field on the corresponding responses.

All the usual ListConversationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListMessagesAsyncPager

A pager for iterating through list_messages requests.

This class thinly wraps an initial ListMessagesResponse object, and provides an __aiter__ method to iterate through its messages field.

If there are more pages, the __aiter__ method will make additional ListMessages requests and continue to iterate through the messages field on the corresponding responses.

All the usual ListMessagesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListMessagesPager

A pager for iterating through list_messages requests.

This class thinly wraps an initial ListMessagesResponse object, and provides an __iter__ method to iterate through its messages field.

If there are more pages, the __iter__ method will make additional ListMessages requests and continue to iterate through the messages field on the corresponding responses.

All the usual ListMessagesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

DocumentsAsyncClient

Service for managing knowledge Documents.

DocumentsClient

Service for managing knowledge Documents.

ListDocumentsAsyncPager

A pager for iterating through list_documents requests.

This class thinly wraps an initial ListDocumentsResponse object, and provides an __aiter__ method to iterate through its documents field.

If there are more pages, the __aiter__ method will make additional ListDocuments requests and continue to iterate through the documents field on the corresponding responses.

All the usual ListDocumentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDocumentsPager

A pager for iterating through list_documents requests.

This class thinly wraps an initial ListDocumentsResponse object, and provides an __iter__ method to iterate through its documents field.

If there are more pages, the __iter__ method will make additional ListDocuments requests and continue to iterate through the documents field on the corresponding responses.

All the usual ListDocumentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

EntityTypesAsyncClient

Service for managing EntityTypes.

EntityTypesClient

Service for managing EntityTypes.

ListEntityTypesAsyncPager

A pager for iterating through list_entity_types requests.

This class thinly wraps an initial ListEntityTypesResponse object, and provides an __aiter__ method to iterate through its entity_types field.

If there are more pages, the __aiter__ method will make additional ListEntityTypes requests and continue to iterate through the entity_types field on the corresponding responses.

All the usual ListEntityTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListEntityTypesPager

A pager for iterating through list_entity_types requests.

This class thinly wraps an initial ListEntityTypesResponse object, and provides an __iter__ method to iterate through its entity_types field.

If there are more pages, the __iter__ method will make additional ListEntityTypes requests and continue to iterate through the entity_types field on the corresponding responses.

All the usual ListEntityTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

EnvironmentsAsyncClient

Service for managing Environments.

EnvironmentsClient

Service for managing Environments.

GetEnvironmentHistoryAsyncPager

A pager for iterating through get_environment_history requests.

This class thinly wraps an initial EnvironmentHistory object, and provides an __aiter__ method to iterate through its entries field.

If there are more pages, the __aiter__ method will make additional GetEnvironmentHistory requests and continue to iterate through the entries field on the corresponding responses.

All the usual EnvironmentHistory attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

GetEnvironmentHistoryPager

A pager for iterating through get_environment_history requests.

This class thinly wraps an initial EnvironmentHistory object, and provides an __iter__ method to iterate through its entries field.

If there are more pages, the __iter__ method will make additional GetEnvironmentHistory requests and continue to iterate through the entries field on the corresponding responses.

All the usual EnvironmentHistory attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListEnvironmentsAsyncPager

A pager for iterating through list_environments requests.

This class thinly wraps an initial ListEnvironmentsResponse object, and provides an __aiter__ method to iterate through its environments field.

If there are more pages, the __aiter__ method will make additional ListEnvironments requests and continue to iterate through the environments field on the corresponding responses.

All the usual ListEnvironmentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListEnvironmentsPager

A pager for iterating through list_environments requests.

This class thinly wraps an initial ListEnvironmentsResponse object, and provides an __iter__ method to iterate through its environments field.

If there are more pages, the __iter__ method will make additional ListEnvironments requests and continue to iterate through the environments field on the corresponding responses.

All the usual ListEnvironmentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

FulfillmentsAsyncClient

Service for managing Fulfillments.

FulfillmentsClient

Service for managing Fulfillments.

IntentsAsyncClient

Service for managing Intents.

IntentsClient

Service for managing Intents.

ListIntentsAsyncPager

A pager for iterating through list_intents requests.

This class thinly wraps an initial ListIntentsResponse object, and provides an __aiter__ method to iterate through its intents field.

If there are more pages, the __aiter__ method will make additional ListIntents requests and continue to iterate through the intents field on the corresponding responses.

All the usual ListIntentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListIntentsPager

A pager for iterating through list_intents requests.

This class thinly wraps an initial ListIntentsResponse object, and provides an __iter__ method to iterate through its intents field.

If there are more pages, the __iter__ method will make additional ListIntents requests and continue to iterate through the intents field on the corresponding responses.

All the usual ListIntentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

KnowledgeBasesAsyncClient

Service for managing KnowledgeBases.

KnowledgeBasesClient

Service for managing KnowledgeBases.

ListKnowledgeBasesAsyncPager

A pager for iterating through list_knowledge_bases requests.

This class thinly wraps an initial ListKnowledgeBasesResponse object, and provides an __aiter__ method to iterate through its knowledge_bases field.

If there are more pages, the __aiter__ method will make additional ListKnowledgeBases requests and continue to iterate through the knowledge_bases field on the corresponding responses.

All the usual ListKnowledgeBasesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListKnowledgeBasesPager

A pager for iterating through list_knowledge_bases requests.

This class thinly wraps an initial ListKnowledgeBasesResponse object, and provides an __iter__ method to iterate through its knowledge_bases field.

If there are more pages, the __iter__ method will make additional ListKnowledgeBases requests and continue to iterate through the knowledge_bases field on the corresponding responses.

All the usual ListKnowledgeBasesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ParticipantsAsyncClient

Service for managing Participants.

ParticipantsClient

Service for managing Participants.

ListParticipantsAsyncPager

A pager for iterating through list_participants requests.

This class thinly wraps an initial ListParticipantsResponse object, and provides an __aiter__ method to iterate through its participants field.

If there are more pages, the __aiter__ method will make additional ListParticipants requests and continue to iterate through the participants field on the corresponding responses.

All the usual ListParticipantsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListParticipantsPager

A pager for iterating through list_participants requests.

This class thinly wraps an initial ListParticipantsResponse object, and provides an __iter__ method to iterate through its participants field.

If there are more pages, the __iter__ method will make additional ListParticipants requests and continue to iterate through the participants field on the corresponding responses.

All the usual ListParticipantsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SessionEntityTypesAsyncClient

Service for managing SessionEntityTypes.

SessionEntityTypesClient

Service for managing SessionEntityTypes.

ListSessionEntityTypesAsyncPager

A pager for iterating through list_session_entity_types requests.

This class thinly wraps an initial ListSessionEntityTypesResponse object, and provides an __aiter__ method to iterate through its session_entity_types field.

If there are more pages, the __aiter__ method will make additional ListSessionEntityTypes requests and continue to iterate through the session_entity_types field on the corresponding responses.

All the usual ListSessionEntityTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListSessionEntityTypesPager

A pager for iterating through list_session_entity_types requests.

This class thinly wraps an initial ListSessionEntityTypesResponse object, and provides an __iter__ method to iterate through its session_entity_types field.

If there are more pages, the __iter__ method will make additional ListSessionEntityTypes requests and continue to iterate through the session_entity_types field on the corresponding responses.

All the usual ListSessionEntityTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SessionsAsyncClient

A service used for session interactions.

For more information, see the API interactions guide <https://cloud.google.com/dialogflow/docs/api-overview>__.

SessionsClient

A service used for session interactions.

For more information, see the API interactions guide <https://cloud.google.com/dialogflow/docs/api-overview>__.

VersionsAsyncClient

Service for managing Versions.

VersionsClient

Service for managing Versions.

ListVersionsAsyncPager

A pager for iterating through list_versions requests.

This class thinly wraps an initial ListVersionsResponse object, and provides an __aiter__ method to iterate through its versions field.

If there are more pages, the __aiter__ method will make additional ListVersions requests and continue to iterate through the versions field on the corresponding responses.

All the usual ListVersionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListVersionsPager

A pager for iterating through list_versions requests.

This class thinly wraps an initial ListVersionsResponse object, and provides an __iter__ method to iterate through its versions field.

If there are more pages, the __iter__ method will make additional ListVersions requests and continue to iterate through the versions field on the corresponding responses.

All the usual ListVersionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

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 <https://cloud.google.com/dialogflow/docs/agents-overview>__.

ApiVersion

API version for the agent.

MatchMode

Match mode determines how intents are detected from user queries.

Tier

Represents the agent tier.

AgentAssistantFeedback

Detail feedback of Agent Assist result.

AnswerRelevance

Relevance of an answer.

DocumentCorrectness

Correctness of document.

DocumentEfficiency

Efficiency of document.

KnowledgeSearchFeedback

Feedback for knowledge search.

SummarizationFeedback

Feedback for conversation summarization.

TextSectionsEntry

The abstract base class for a message.

AgentAssistantRecord

Represents a record of a human agent assist answer.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

AnalyzeContentRequest

The request message for Participants.AnalyzeContent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

AnalyzeContentResponse

The response message for Participants.AnalyzeContent.

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.

AnswerFeedback

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

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

CorrectnessLevel

The correctness level of an answer.

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 [UpdateAnswerRecord][] method to send feedback about a specific answer that they believe is wrong.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ArticleAnswer

Represents article answer.

MetadataEntry

The abstract base class for a message.

ArticleSuggestionModelMetadata

Metadata for article suggestion models.

AssistQueryParameters

Represents the parameters of human assist query.

DocumentsMetadataFiltersEntry

The abstract base class for a message.

AudioEncoding

Audio encoding of the audio content sent in the conversational query request. Refer to the Cloud Speech API documentation <https://cloud.google.com/speech-to-text/docs/basics>__ for more details.

AutomatedAgentConfig

Defines the Automated Agent to connect to a conversation.

AutomatedAgentReply

Represents a response from an automated agent.

AutomatedAgentReplyType

Represents different automated agent reply types.

BatchCreateEntitiesRequest

The request message for EntityTypes.BatchCreateEntities.

BatchDeleteEntitiesRequest

The request message for EntityTypes.BatchDeleteEntities.

BatchDeleteEntityTypesRequest

The request message for EntityTypes.BatchDeleteEntityTypes.

BatchDeleteIntentsRequest

The request message for Intents.BatchDeleteIntents.

BatchUpdateEntitiesRequest

The request message for EntityTypes.BatchUpdateEntities.

BatchUpdateEntityTypesRequest

The request message for EntityTypes.BatchUpdateEntityTypes.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

BatchUpdateEntityTypesResponse

The response message for EntityTypes.BatchUpdateEntityTypes.

BatchUpdateIntentsRequest

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

BatchUpdateIntentsResponse

The response message for Intents.BatchUpdateIntents.

ClearSuggestionFeatureConfigOperationMetadata

Metadata for a [ConversationProfile.ClearSuggestionFeatureConfig][] operation.

ClearSuggestionFeatureConfigRequest

The request message for [ConversationProfiles.ClearFeature][].

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.

CompleteConversationRequest

The request message for Conversations.CompleteConversation.

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 <https://cloud.google.com/dialogflow/docs/contexts-overview>__.

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.

ConversationStage

Enumeration of the different conversation stages a conversation can be in. Reference:

https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages

LifecycleState

Enumeration of the completion status of 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).

ConversationEvent

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

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Type

Enumeration of the types of events available.

    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.

ConversationModel

Represents a conversation model.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ModelType

Model type.

State

State of the model.

ConversationModelEvaluation

Represents evaluation result of a conversation model.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ConversationPhoneNumber

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

ConversationProfile

Defines the services to connect to incoming Dialogflow conversations.

CreateContextRequest

The request message for Contexts.CreateContext.

CreateConversationDatasetOperationMetadata

Metadata for ConversationDatasets][CreateConversationDataset].

CreateConversationDatasetRequest

The request message for ConversationDatasets.CreateConversationDataset.

CreateConversationModelEvaluationOperationMetadata

Metadata for a ConversationModels.CreateConversationModelEvaluation operation.

State

State of CreateConversationModel operation.

CreateConversationModelEvaluationRequest

The request message for ConversationModels.CreateConversationModelEvaluation

CreateConversationModelOperationMetadata

Metadata for a ConversationModels.CreateConversationModel operation.

State

State of CreateConversationModel operation.

CreateConversationModelRequest

The request message for ConversationModels.CreateConversationModel

CreateConversationProfileRequest

The request message for ConversationProfiles.CreateConversationProfile.

CreateConversationRequest

The request message for Conversations.CreateConversation.

CreateDocumentRequest

Request message for Documents.CreateDocument.

CreateEntityTypeRequest

The request message for EntityTypes.CreateEntityType.

CreateEnvironmentRequest

The request message for Environments.CreateEnvironment.

CreateIntentRequest

The request message for Intents.CreateIntent.

CreateKnowledgeBaseRequest

Request message for KnowledgeBases.CreateKnowledgeBase.

CreateParticipantRequest

The request message for Participants.CreateParticipant.

CreateSessionEntityTypeRequest

The request message for SessionEntityTypes.CreateSessionEntityType.

CreateVersionRequest

The request message for Versions.CreateVersion.

DeleteAgentRequest

The request message for Agents.DeleteAgent.

DeleteAllContextsRequest

The request message for Contexts.DeleteAllContexts.

DeleteContextRequest

The request message for Contexts.DeleteContext.

DeleteConversationDatasetOperationMetadata

Metadata for ConversationDatasets][DeleteConversationDataset].

DeleteConversationDatasetRequest

The request message for ConversationDatasets.DeleteConversationDataset.

DeleteConversationModelOperationMetadata

Metadata for a ConversationModels.DeleteConversationModel operation.

DeleteConversationModelRequest

The request message for ConversationModels.DeleteConversationModel

DeleteConversationProfileRequest

The request message for ConversationProfiles.DeleteConversationProfile.

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

DeleteDocumentRequest

Request message for Documents.DeleteDocument.

DeleteEntityTypeRequest

The request message for EntityTypes.DeleteEntityType.

DeleteEnvironmentRequest

The request message for Environments.DeleteEnvironment.

DeleteIntentRequest

The request message for Intents.DeleteIntent.

DeleteKnowledgeBaseRequest

Request message for KnowledgeBases.DeleteKnowledgeBase.

DeleteSessionEntityTypeRequest

The request message for SessionEntityTypes.DeleteSessionEntityType.

DeleteVersionRequest

The request message for Versions.DeleteVersion.

DeployConversationModelOperationMetadata

Metadata for a ConversationModels.DeployConversationModel operation.

DeployConversationModelRequest

The request message for ConversationModels.DeployConversationModel

DetectIntentRequest

The request to detect user's intent.

DetectIntentResponse

The message returned from the DetectIntent method.

DialogflowAssistAnswer

Represents a Dialogflow assist answer.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Document

A knowledge document to be used by a KnowledgeBase.

For more information, see the knowledge base guide <https://cloud.google.com/dialogflow/docs/how/knowledge-bases>__.

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

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

KnowledgeType

The knowledge type of document content.

    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 (2):
    Documents for which unstructured text is
    extracted and used for question answering.
ARTICLE_SUGGESTION (3):
    The entire document content as a whole can be
    used for query results. Only for Contact Center
    Solutions on Dialogflow.
AGENT_FACING_SMART_REPLY (4):
    The document contains agent-facing Smart
    Reply entries.

MetadataEntry

The abstract base class for a message.

ReloadStatus

The status of a reload attempt.

State

Possible states of the document

DtmfParameters

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

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 <https://cloud.google.com/dialogflow/docs/entities-overview>__.

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).

Entity

An entity entry for an associated entity type.

Kind

Represents kinds of entities.

EntityTypeBatch

This message is a wrapper around 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 <https://cloud.google.com/dialogflow/docs/agents-versions>__.

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.

EnvironmentHistory

The response message for Environments.GetEnvironmentHistory.

Entry

Represents an environment history entry.

EvaluationConfig

The configuration for model evaluation.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

SmartComposeConfig

Smart compose specific configuration for evaluation job.

SmartReplyConfig

Smart reply specific configuration for evaluation job.

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?".

ExportAgentRequest

The request message for Agents.ExportAgent.

ExportAgentResponse

The response message for Agents.ExportAgent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ExportDocumentRequest

Request message for Documents.ExportDocument.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ExportOperationMetadata

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

FaqAnswer

Represents answer from "frequently asked questions".

MetadataEntry

The abstract base class for a message.

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 <https://cloud.google.com/dialogflow/docs/fulfillment-overview>__.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Feature

Whether fulfillment is enabled for the specific feature.

Type

The type of the feature.

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.

RequestHeadersEntry

The abstract base class for a message.

GcsDestination

Google Cloud Storage location for the output.

GcsSources

Google Cloud Storage location for the inputs.

GenerateStatelessSummaryRequest

The request message for Conversations.GenerateStatelessSummary.

MinimalConversation

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

GenerateStatelessSummaryResponse

The response message for Conversations.GenerateStatelessSummary.

Summary

Generated summary for a conversation.

TextSectionsEntry

The abstract base class for a message.

GetAgentRequest

The request message for Agents.GetAgent.

GetContextRequest

The request message for Contexts.GetContext.

GetConversationDatasetRequest

The request message for ConversationDatasets.GetConversationDataset.

GetConversationModelEvaluationRequest

The request message for ConversationModels.GetConversationModelEvaluation

GetConversationModelRequest

The request message for ConversationModels.GetConversationModel

GetConversationProfileRequest

The request message for ConversationProfiles.GetConversationProfile.

GetConversationRequest

The request message for Conversations.GetConversation.

GetDocumentRequest

Request message for Documents.GetDocument.

GetEntityTypeRequest

The request message for EntityTypes.GetEntityType.

GetEnvironmentHistoryRequest

The request message for Environments.GetEnvironmentHistory.

GetEnvironmentRequest

The request message for Environments.GetEnvironment.

GetFulfillmentRequest

The request message for Fulfillments.GetFulfillment.

GetIntentRequest

The request message for Intents.GetIntent.

GetKnowledgeBaseRequest

Request message for KnowledgeBases.GetKnowledgeBase.

GetParticipantRequest

The request message for Participants.GetParticipant.

GetSessionEntityTypeRequest

The request message for SessionEntityTypes.GetSessionEntityType.

GetValidationResultRequest

The request message for Agents.GetValidationResult.

GetVersionRequest

The request message for Versions.GetVersion.

HumanAgentAssistantConfig

Defines the Human Agent Assist to connect to a conversation.

ConversationModelConfig

Custom conversation models used in agent assist feature.

Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION.

ConversationProcessConfig

Config to process conversation.

MessageAnalysisConfig

Configuration for analyses to run on each conversation message.

SuggestionConfig

Detail human agent assistant config.

SuggestionFeatureConfig

Config for suggestion features.

SuggestionQueryConfig

Config for suggestion query.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ContextFilterSettings

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

DialogflowQuerySource

Dialogflow source setting.

Supported feature: DIALOGFLOW_ASSIST.

HumanAgentSideConfig

The configuration used for human agent side Dialogflow assist suggestion.

DocumentQuerySource

Document source settings.

Supported features: SMART_REPLY, SMART_COMPOSE.

KnowledgeBaseQuerySource

Knowledge base source settings.

Supported features: ARTICLE_SUGGESTION, FAQ.

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.

SectionType

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

SuggestionTriggerSettings

Settings of suggestion trigger.

HumanAgentAssistantEvent

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

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

LivePersonConfig

Configuration specific to LivePerson (https://www.liveperson.com).

SalesforceLiveAgentConfig

Configuration specific to Salesforce Live Agent.

ImportAgentRequest

The request message for Agents.ImportAgent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ImportConversationDataOperationMetadata

Metadata for a ConversationDatasets.ImportConversationData operation.

ImportConversationDataOperationResponse

Response used for ConversationDatasets.ImportConversationData long running operation.

ImportConversationDataRequest

The request message for ConversationDatasets.ImportConversationData.

ImportDocumentTemplate

The template used for importing documents.

MetadataEntry

The abstract base class for a message.

ImportDocumentsRequest

Request message for Documents.ImportDocuments.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ImportDocumentsResponse

Response message for Documents.ImportDocuments.

InputAudioConfig

Instructs the speech recognizer how to process the audio content.

InputConfig

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

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

InputDataset

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

InputTextConfig

Defines the language used in the input text.

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 <https://cloud.google.com/dialogflow/docs/intents-overview>__.

FollowupIntentInfo

Represents a single followup intent in the chain.

Message

A rich response message. Corresponds to the intent Response field in the Dialogflow console. For more information, see Rich response messages <https://cloud.google.com/dialogflow/docs/intents-rich-messages>__.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

BasicCard

The basic card message. Useful for displaying information.

Button

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

OpenUriAction

Opens the given URI.

BrowseCarouselCard

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

BrowseCarouselCardItem

Browsing carousel tile

OpenUrlAction

Actions on Google action to open a given url.

UrlTypeHint

Type of the URI.

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.

Card

The card response message.

Button

Contains information about a button.

CarouselSelect

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

Item

An item in the carousel.

ColumnProperties

Column properties for TableCard.

HorizontalAlignment

Text alignments within a cell.

Image

The image response message.

LinkOutSuggestion

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

ListSelect

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

Item

An item in the list.

MediaContent

The media content card for Actions on Google.

ResponseMediaObject

Response media object for media content card.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ResponseMediaType

Format of response media type.

Platform

The rich response message integration platform. See Integrations <https://cloud.google.com/dialogflow/docs/integrations>__.

QuickReplies

The quick replies response message.

SelectItemInfo

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

SimpleResponse

The simple response message containing speech or text.

SimpleResponses

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

Suggestion

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

Suggestions

The collection of suggestions.

TableCard

Table card for Actions on Google.

TableCardCell

Cell of TableCardRow.

TableCardRow

Row of TableCard.

Text

The text response message.

Parameter

Represents intent parameters.

TrainingPhrase

Represents an example that the agent is trained on.

Part

Represents a part of a training phrase.

Type

Represents different types of training phrases.

WebhookState

Represents the different states that webhooks can be in.

IntentBatch

This message is a wrapper around a collection of intents.

IntentSuggestion

Represents an intent suggestion.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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.

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 <https://cloud.google.com/dialogflow/docs/how/knowledge-bases>__.

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

KnowledgeOperationMetadata

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

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

State

States of the operation.

ListAnswerRecordsRequest

Request message for AnswerRecords.ListAnswerRecords.

ListAnswerRecordsResponse

Response message for AnswerRecords.ListAnswerRecords.

ListContextsRequest

The request message for Contexts.ListContexts.

ListContextsResponse

The response message for Contexts.ListContexts.

ListConversationDatasetsRequest

The request message for ConversationDatasets.ListConversationDatasets.

ListConversationDatasetsResponse

The response message for ConversationDatasets.ListConversationDatasets.

ListConversationModelEvaluationsRequest

The request message for ConversationModels.ListConversationModelEvaluations

ListConversationModelEvaluationsResponse

The response message for ConversationModels.ListConversationModelEvaluations

ListConversationModelsRequest

The request message for ConversationModels.ListConversationModels

ListConversationModelsResponse

The response message for ConversationModels.ListConversationModels

ListConversationProfilesRequest

The request message for ConversationProfiles.ListConversationProfiles.

ListConversationProfilesResponse

The response message for ConversationProfiles.ListConversationProfiles.

ListConversationsRequest

The request message for Conversations.ListConversations.

ListConversationsResponse

The response message for Conversations.ListConversations.

ListDocumentsRequest

Request message for Documents.ListDocuments.

ListDocumentsResponse

Response message for Documents.ListDocuments.

ListEntityTypesRequest

The request message for EntityTypes.ListEntityTypes.

ListEntityTypesResponse

The response message for EntityTypes.ListEntityTypes.

ListEnvironmentsRequest

The request message for Environments.ListEnvironments.

ListEnvironmentsResponse

The response message for Environments.ListEnvironments.

ListIntentsRequest

The request message for Intents.ListIntents.

ListIntentsResponse

The response message for Intents.ListIntents.

ListKnowledgeBasesRequest

Request message for KnowledgeBases.ListKnowledgeBases.

ListKnowledgeBasesResponse

Response message for KnowledgeBases.ListKnowledgeBases.

ListMessagesRequest

The request message for Conversations.ListMessages.

ListMessagesResponse

The response message for Conversations.ListMessages.

ListParticipantsRequest

The request message for Participants.ListParticipants.

ListParticipantsResponse

The response message for Participants.ListParticipants.

ListSessionEntityTypesRequest

The request message for SessionEntityTypes.ListSessionEntityTypes.

ListSessionEntityTypesResponse

The response message for SessionEntityTypes.ListSessionEntityTypes.

ListVersionsRequest

The request message for Versions.ListVersions.

ListVersionsResponse

The response message for Versions.ListVersions.

LoggingConfig

Defines logging behavior for conversation lifecycle events.

Message

Represents a message posted into a conversation.

MessageAnnotation

Represents the result of annotation for the message.

NotificationConfig

Defines notification behavior.

MessageFormat

Format of cloud pub/sub message.

OriginalDetectIntentRequest

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

OutputAudio

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

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.

OutputAudioEncoding

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

Participant

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

DocumentsMetadataFiltersEntry

The abstract base class for a message.

Role

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

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

QueryParameters

Represents the parameters of the conversational query.

WebhookHeadersEntry

The abstract base class for a message.

QueryResult

Represents the result of conversational query or event processing.

ReloadDocumentRequest

Request message for Documents.ReloadDocument.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

RestoreAgentRequest

The request message for Agents.RestoreAgent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

SearchAgentsRequest

The request message for Agents.SearchAgents.

SearchAgentsResponse

The response message for Agents.SearchAgents.

SearchKnowledgeAnswer

Represents a SearchKnowledge answer.

AnswerSource

The sources of the answers.

AnswerType

The type of the answer.

SearchKnowledgeRequest

The request message for Conversations.SearchKnowledge.

SearchKnowledgeResponse

The response message for Conversations.SearchKnowledge.

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.

SentimentAnalysisRequestConfig

Configures the types of sentiment analysis to perform.

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 [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

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 <https://cloud.google.com/dialogflow/docs/entities-session>__.

EntityOverrideMode

The types of modifications for a session 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
    <xref uid="google.cloud.dialogflow.v2.EntityTypes.GetEntityType">EntityTypes.GetEntityType</xref>
    on the custom entity type and merge.

SetAgentRequest

The request message for Agents.SetAgent.

SetSuggestionFeatureConfigOperationMetadata

Metadata for a [ConversationProfile.SetSuggestionFeatureConfig][] operation.

SetSuggestionFeatureConfigRequest

The request message for [ConversationProfiles.SetSuggestionFeature][].

SmartReplyAnswer

Represents a smart reply answer.

SmartReplyMetrics

The evaluation metrics for smart reply model.

TopNMetrics

Evaluation metrics when retrieving n smart replies with the model.

SmartReplyModelMetadata

Metadata for smart reply models.

SpeechContext

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

SpeechModelVariant

Variant of the specified [Speech model][google.cloud.dialogflow.v2.InputAudioConfig.model] to use.

See the Cloud Speech documentation <https://cloud.google.com/speech-to-text/docs/enhanced-models>__ 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.

    Please see the `Dialogflow
    docs <https://cloud.google.com/dialogflow/docs/data-logging>`__
    for how to make your project eligible for enhanced models.
USE_STANDARD (2):
    Use standard model variant even if an enhanced model is
    available. See the `Cloud Speech
    documentation <https://cloud.google.com/speech-to-text/docs/enhanced-models>`__
    for details about enhanced models.
USE_ENHANCED (3):
    Use an enhanced model variant:

    -  If an enhanced variant does not exist for the given
       <xref uid="google.cloud.dialogflow.v2.InputAudioConfig.model">model</xref>
       and request language, Dialogflow falls back to the
       standard variant.

       The `Cloud Speech
       documentation <https://cloud.google.com/speech-to-text/docs/enhanced-models>`__
       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 <https://cloud.google.com/dialogflow/docs/data-logging>`__
       for how to make your project eligible.

SpeechToTextConfig

Configures speech transcription for ConversationProfile.

SpeechWordInfo

Information for a word recognized by the speech recognizer.

SsmlVoiceGender

Gender of the voice as described in SSML voice element <https://www.w3.org/TR/speech-synthesis11/#edef_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 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.

2. If 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.

3. If 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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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_reply\ s 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.

StreamingDetectIntentRequest

The top-level message sent by the client to the Sessions.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.

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.

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".

MessageType

Type of the response message.

SuggestArticlesRequest

The request message for Participants.SuggestArticles.

SuggestArticlesResponse

The response message for Participants.SuggestArticles.

SuggestConversationSummaryRequest

The request message for Conversations.SuggestConversationSummary.

SuggestConversationSummaryResponse

The response message for Conversations.SuggestConversationSummary.

Summary

Generated summary for a conversation.

TextSectionsEntry

The abstract base class for a message.

SuggestFaqAnswersRequest

The request message for Participants.SuggestFaqAnswers.

SuggestFaqAnswersResponse

The request message for Participants.SuggestFaqAnswers.

SuggestSmartRepliesRequest

The request message for Participants.SuggestSmartReplies.

SuggestSmartRepliesResponse

The response message for Participants.SuggestSmartReplies.

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.

Type

Defines the type of Human Agent Assistant feature.

SuggestionInput

Represents the selection of a suggestion.

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

SynthesizeSpeechConfig

Configuration of how speech should be synthesized.

TelephonyDtmf

DTMF <https://en.wikipedia.org/wiki/Dual-tone_multi-frequency_signaling>__ digit in Telephony Gateway.

TelephonyDtmfEvents

A wrapper of repeated TelephonyDtmf digits.

TextInput

Auxiliary proto messages.

Represents the natural language text to be processed.

TextToSpeechSettings

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

SynthesizeSpeechConfigsEntry

The abstract base class for a message.

TrainAgentRequest

The request message for Agents.TrainAgent.

UndeployConversationModelOperationMetadata

Metadata for a ConversationModels.UndeployConversationModel operation.

UndeployConversationModelRequest

The request message for ConversationModels.UndeployConversationModel

UpdateAnswerRecordRequest

Request message for AnswerRecords.UpdateAnswerRecord.

UpdateContextRequest

The request message for Contexts.UpdateContext.

UpdateConversationProfileRequest

The request message for ConversationProfiles.UpdateConversationProfile.

UpdateDocumentRequest

Request message for Documents.UpdateDocument.

UpdateEntityTypeRequest

The request message for EntityTypes.UpdateEntityType.

UpdateEnvironmentRequest

The request message for Environments.UpdateEnvironment.

UpdateFulfillmentRequest

The request message for Fulfillments.UpdateFulfillment.

UpdateIntentRequest

The request message for Intents.UpdateIntent.

UpdateKnowledgeBaseRequest

Request message for KnowledgeBases.UpdateKnowledgeBase.

UpdateParticipantRequest

The request message for Participants.UpdateParticipant.

UpdateSessionEntityTypeRequest

The request message for SessionEntityTypes.UpdateSessionEntityType.

UpdateVersionRequest

The request message for Versions.UpdateVersion.

ValidationError

Represents a single validation error.

Severity

Represents a level of severity.

ValidationResult

Represents the output of agent validation.

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 <https://cloud.google.com/dialogflow/docs/agents-versions>__.

VersionStatus

The status of a version.

VoiceSelectionParams

Description of which voice to use for speech synthesis.

WebhookRequest

The request message for a webhook 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 <https://developers.google.com/protocol-buffers/docs/proto3#json>__.

AgentsAsyncClient

Service for managing Agents.

AgentsClient

Service for managing Agents.

SearchAgentsAsyncPager

A pager for iterating through search_agents requests.

This class thinly wraps an initial SearchAgentsResponse object, and provides an __aiter__ method to iterate through its agents field.

If there are more pages, the __aiter__ method will make additional SearchAgents requests and continue to iterate through the agents field on the corresponding responses.

All the usual SearchAgentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SearchAgentsPager

A pager for iterating through search_agents requests.

This class thinly wraps an initial SearchAgentsResponse object, and provides an __iter__ method to iterate through its agents field.

If there are more pages, the __iter__ method will make additional SearchAgents requests and continue to iterate through the agents field on the corresponding responses.

All the usual SearchAgentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

AnswerRecordsAsyncClient

Service for managing AnswerRecords.

AnswerRecordsClient

Service for managing AnswerRecords.

ListAnswerRecordsAsyncPager

A pager for iterating through list_answer_records requests.

This class thinly wraps an initial ListAnswerRecordsResponse object, and provides an __aiter__ method to iterate through its answer_records field.

If there are more pages, the __aiter__ method will make additional ListAnswerRecords requests and continue to iterate through the answer_records field on the corresponding responses.

All the usual ListAnswerRecordsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListAnswerRecordsPager

A pager for iterating through list_answer_records requests.

This class thinly wraps an initial ListAnswerRecordsResponse object, and provides an __iter__ method to iterate through its answer_records field.

If there are more pages, the __iter__ method will make additional ListAnswerRecords requests and continue to iterate through the answer_records field on the corresponding responses.

All the usual ListAnswerRecordsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ContextsAsyncClient

Service for managing Contexts.

ContextsClient

Service for managing Contexts.

ListContextsAsyncPager

A pager for iterating through list_contexts requests.

This class thinly wraps an initial ListContextsResponse object, and provides an __aiter__ method to iterate through its contexts field.

If there are more pages, the __aiter__ method will make additional ListContexts requests and continue to iterate through the contexts field on the corresponding responses.

All the usual ListContextsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListContextsPager

A pager for iterating through list_contexts requests.

This class thinly wraps an initial ListContextsResponse object, and provides an __iter__ method to iterate through its contexts field.

If there are more pages, the __iter__ method will make additional ListContexts requests and continue to iterate through the contexts field on the corresponding responses.

All the usual ListContextsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ConversationProfilesAsyncClient

Service for managing ConversationProfiles.

ConversationProfilesClient

Service for managing ConversationProfiles.

ListConversationProfilesAsyncPager

A pager for iterating through list_conversation_profiles requests.

This class thinly wraps an initial ListConversationProfilesResponse object, and provides an __aiter__ method to iterate through its conversation_profiles field.

If there are more pages, the __aiter__ method will make additional ListConversationProfiles requests and continue to iterate through the conversation_profiles field on the corresponding responses.

All the usual ListConversationProfilesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListConversationProfilesPager

A pager for iterating through list_conversation_profiles requests.

This class thinly wraps an initial ListConversationProfilesResponse object, and provides an __iter__ method to iterate through its conversation_profiles field.

If there are more pages, the __iter__ method will make additional ListConversationProfiles requests and continue to iterate through the conversation_profiles field on the corresponding responses.

All the usual ListConversationProfilesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ConversationsAsyncClient

Service for managing Conversations.

ConversationsClient

Service for managing Conversations.

ListConversationsAsyncPager

A pager for iterating through list_conversations requests.

This class thinly wraps an initial ListConversationsResponse object, and provides an __aiter__ method to iterate through its conversations field.

If there are more pages, the __aiter__ method will make additional ListConversations requests and continue to iterate through the conversations field on the corresponding responses.

All the usual ListConversationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListConversationsPager

A pager for iterating through list_conversations requests.

This class thinly wraps an initial ListConversationsResponse object, and provides an __iter__ method to iterate through its conversations field.

If there are more pages, the __iter__ method will make additional ListConversations requests and continue to iterate through the conversations field on the corresponding responses.

All the usual ListConversationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListMessagesAsyncPager

A pager for iterating through list_messages requests.

This class thinly wraps an initial ListMessagesResponse object, and provides an __aiter__ method to iterate through its messages field.

If there are more pages, the __aiter__ method will make additional ListMessages requests and continue to iterate through the messages field on the corresponding responses.

All the usual ListMessagesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListMessagesPager

A pager for iterating through list_messages requests.

This class thinly wraps an initial ListMessagesResponse object, and provides an __iter__ method to iterate through its messages field.

If there are more pages, the __iter__ method will make additional ListMessages requests and continue to iterate through the messages field on the corresponding responses.

All the usual ListMessagesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

DocumentsAsyncClient

Service for managing knowledge Documents.

DocumentsClient

Service for managing knowledge Documents.

ListDocumentsAsyncPager

A pager for iterating through list_documents requests.

This class thinly wraps an initial ListDocumentsResponse object, and provides an __aiter__ method to iterate through its documents field.

If there are more pages, the __aiter__ method will make additional ListDocuments requests and continue to iterate through the documents field on the corresponding responses.

All the usual ListDocumentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDocumentsPager

A pager for iterating through list_documents requests.

This class thinly wraps an initial ListDocumentsResponse object, and provides an __iter__ method to iterate through its documents field.

If there are more pages, the __iter__ method will make additional ListDocuments requests and continue to iterate through the documents field on the corresponding responses.

All the usual ListDocumentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

EntityTypesAsyncClient

Service for managing EntityTypes.

EntityTypesClient

Service for managing EntityTypes.

ListEntityTypesAsyncPager

A pager for iterating through list_entity_types requests.

This class thinly wraps an initial ListEntityTypesResponse object, and provides an __aiter__ method to iterate through its entity_types field.

If there are more pages, the __aiter__ method will make additional ListEntityTypes requests and continue to iterate through the entity_types field on the corresponding responses.

All the usual ListEntityTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListEntityTypesPager

A pager for iterating through list_entity_types requests.

This class thinly wraps an initial ListEntityTypesResponse object, and provides an __iter__ method to iterate through its entity_types field.

If there are more pages, the __iter__ method will make additional ListEntityTypes requests and continue to iterate through the entity_types field on the corresponding responses.

All the usual ListEntityTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

EnvironmentsAsyncClient

Service for managing Environments.

EnvironmentsClient

Service for managing Environments.

GetEnvironmentHistoryAsyncPager

A pager for iterating through get_environment_history requests.

This class thinly wraps an initial EnvironmentHistory object, and provides an __aiter__ method to iterate through its entries field.

If there are more pages, the __aiter__ method will make additional GetEnvironmentHistory requests and continue to iterate through the entries field on the corresponding responses.

All the usual EnvironmentHistory attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

GetEnvironmentHistoryPager

A pager for iterating through get_environment_history requests.

This class thinly wraps an initial EnvironmentHistory object, and provides an __iter__ method to iterate through its entries field.

If there are more pages, the __iter__ method will make additional GetEnvironmentHistory requests and continue to iterate through the entries field on the corresponding responses.

All the usual EnvironmentHistory attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListEnvironmentsAsyncPager

A pager for iterating through list_environments requests.

This class thinly wraps an initial ListEnvironmentsResponse object, and provides an __aiter__ method to iterate through its environments field.

If there are more pages, the __aiter__ method will make additional ListEnvironments requests and continue to iterate through the environments field on the corresponding responses.

All the usual ListEnvironmentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListEnvironmentsPager

A pager for iterating through list_environments requests.

This class thinly wraps an initial ListEnvironmentsResponse object, and provides an __iter__ method to iterate through its environments field.

If there are more pages, the __iter__ method will make additional ListEnvironments requests and continue to iterate through the environments field on the corresponding responses.

All the usual ListEnvironmentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

FulfillmentsAsyncClient

Service for managing Fulfillments.

FulfillmentsClient

Service for managing Fulfillments.

IntentsAsyncClient

Service for managing Intents.

IntentsClient

Service for managing Intents.

ListIntentsAsyncPager

A pager for iterating through list_intents requests.

This class thinly wraps an initial ListIntentsResponse object, and provides an __aiter__ method to iterate through its intents field.

If there are more pages, the __aiter__ method will make additional ListIntents requests and continue to iterate through the intents field on the corresponding responses.

All the usual ListIntentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListIntentsPager

A pager for iterating through list_intents requests.

This class thinly wraps an initial ListIntentsResponse object, and provides an __iter__ method to iterate through its intents field.

If there are more pages, the __iter__ method will make additional ListIntents requests and continue to iterate through the intents field on the corresponding responses.

All the usual ListIntentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

KnowledgeBasesAsyncClient

Service for managing KnowledgeBases.

KnowledgeBasesClient

Service for managing KnowledgeBases.

ListKnowledgeBasesAsyncPager

A pager for iterating through list_knowledge_bases requests.

This class thinly wraps an initial ListKnowledgeBasesResponse object, and provides an __aiter__ method to iterate through its knowledge_bases field.

If there are more pages, the __aiter__ method will make additional ListKnowledgeBases requests and continue to iterate through the knowledge_bases field on the corresponding responses.

All the usual ListKnowledgeBasesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListKnowledgeBasesPager

A pager for iterating through list_knowledge_bases requests.

This class thinly wraps an initial ListKnowledgeBasesResponse object, and provides an __iter__ method to iterate through its knowledge_bases field.

If there are more pages, the __iter__ method will make additional ListKnowledgeBases requests and continue to iterate through the knowledge_bases field on the corresponding responses.

All the usual ListKnowledgeBasesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ParticipantsAsyncClient

Service for managing Participants.

ParticipantsClient

Service for managing Participants.

ListParticipantsAsyncPager

A pager for iterating through list_participants requests.

This class thinly wraps an initial ListParticipantsResponse object, and provides an __aiter__ method to iterate through its participants field.

If there are more pages, the __aiter__ method will make additional ListParticipants requests and continue to iterate through the participants field on the corresponding responses.

All the usual ListParticipantsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListParticipantsPager

A pager for iterating through list_participants requests.

This class thinly wraps an initial ListParticipantsResponse object, and provides an __iter__ method to iterate through its participants field.

If there are more pages, the __iter__ method will make additional ListParticipants requests and continue to iterate through the participants field on the corresponding responses.

All the usual ListParticipantsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListSuggestionsAsyncPager

A pager for iterating through list_suggestions requests.

This class thinly wraps an initial ListSuggestionsResponse object, and provides an __aiter__ method to iterate through its suggestions field.

If there are more pages, the __aiter__ method will make additional ListSuggestions requests and continue to iterate through the suggestions field on the corresponding responses.

All the usual ListSuggestionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListSuggestionsPager

A pager for iterating through list_suggestions requests.

This class thinly wraps an initial ListSuggestionsResponse object, and provides an __iter__ method to iterate through its suggestions field.

If there are more pages, the __iter__ method will make additional ListSuggestions requests and continue to iterate through the suggestions field on the corresponding responses.

All the usual ListSuggestionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SessionEntityTypesAsyncClient

Service for managing SessionEntityTypes.

SessionEntityTypesClient

Service for managing SessionEntityTypes.

ListSessionEntityTypesAsyncPager

A pager for iterating through list_session_entity_types requests.

This class thinly wraps an initial ListSessionEntityTypesResponse object, and provides an __aiter__ method to iterate through its session_entity_types field.

If there are more pages, the __aiter__ method will make additional ListSessionEntityTypes requests and continue to iterate through the session_entity_types field on the corresponding responses.

All the usual ListSessionEntityTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListSessionEntityTypesPager

A pager for iterating through list_session_entity_types requests.

This class thinly wraps an initial ListSessionEntityTypesResponse object, and provides an __iter__ method to iterate through its session_entity_types field.

If there are more pages, the __iter__ method will make additional ListSessionEntityTypes requests and continue to iterate through the session_entity_types field on the corresponding responses.

All the usual ListSessionEntityTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SessionsAsyncClient

A service used for session interactions.

For more information, see the API interactions guide <https://cloud.google.com/dialogflow/docs/api-overview>__.

SessionsClient

A service used for session interactions.

For more information, see the API interactions guide <https://cloud.google.com/dialogflow/docs/api-overview>__.

VersionsAsyncClient

Service for managing Versions.

VersionsClient

Service for managing Versions.

ListVersionsAsyncPager

A pager for iterating through list_versions requests.

This class thinly wraps an initial ListVersionsResponse object, and provides an __aiter__ method to iterate through its versions field.

If there are more pages, the __aiter__ method will make additional ListVersions requests and continue to iterate through the versions field on the corresponding responses.

All the usual ListVersionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListVersionsPager

A pager for iterating through list_versions requests.

This class thinly wraps an initial ListVersionsResponse object, and provides an __iter__ method to iterate through its versions field.

If there are more pages, the __iter__ method will make additional ListVersions requests and continue to iterate through the versions field on the corresponding responses.

All the usual ListVersionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

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 <https://cloud.google.com/dialogflow/docs/agents-overview>__.

ApiVersion

API version for the agent.

MatchMode

Match mode determines how intents are detected from user queries.

Tier

Represents the agent tier.

AgentAssistantFeedback

Detail feedback of Agent Assistant result.

AnswerRelevance

Relevance of an answer.

DocumentCorrectness

Correctness of document.

DocumentEfficiency

Efficiency of document.

KnowledgeSearchFeedback

Feedback for knowledge search.

SummarizationFeedback

Feedback for conversation summarization.

TextSectionsEntry

The abstract base class for a message.

AgentAssistantRecord

Represents a record of a human agent assistant answer.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

AnalyzeContentRequest

The request message for Participants.AnalyzeContent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

AnalyzeContentResponse

The response message for Participants.AnalyzeContent.

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.

AnswerFeedback

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

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

CorrectnessLevel

The correctness level of an answer.

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 [UpdateAnswerRecord][] method to send feedback about a specific answer that they believe is wrong.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ArticleAnswer

Represents article answer.

MetadataEntry

The abstract base class for a message.

AssistQueryParameters

Represents the parameters of human assist query.

DocumentsMetadataFiltersEntry

The abstract base class for a message.

AudioEncoding

Audio encoding of the audio content sent in the conversational query request. Refer to the Cloud Speech API documentation <https://cloud.google.com/speech-to-text/docs/basics>__ for more details.

AudioInput

Represents the natural language speech audio to be processed.

AutomatedAgentConfig

Defines the Automated Agent to connect to a conversation.

AutomatedAgentReply

Represents a response from an automated agent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

AutomatedAgentReplyType

Represents different automated agent reply types.

BargeInConfig

Configuration of the barge-in behavior. Barge-in instructs the API to return a detected utterance at a proper time while the client is playing back the response audio from a previous request. When the client sees the utterance, it should stop the playback and immediately get ready for receiving the responses for the current request.

The barge-in handling requires the client to start streaming audio input as soon as it starts playing back the audio from the previous response. The playback is modeled into two phases:

• No barge-in phase: which goes first and during which speech detection should not be carried out.

• Barge-in phase: which follows the no barge-in phase and during which the API starts speech detection and may inform the client that an utterance has been detected. Note that no-speech event is not expected in this phase.

The client provides this configuration in terms of the durations of those two phases. The durations are measured in terms of the audio length from the start of the input audio.

The flow goes like below:

::

--> Time

without speech detection | utterance only | utterance or no-speech event | | +-------------+ | +------------+ | +---------------+ ----------+ no barge-in +-|-+ barge-in +-|-+ normal period +----------- +-------------+ | +------------+ | +---------------+

No-speech event is a response with END_OF_UTTERANCE without any transcript following up.

BatchCreateEntitiesRequest

The request message for EntityTypes.BatchCreateEntities.

BatchCreateMessagesRequest

The request message for [Conversations.BatchCreateMessagesRequest][].

BatchCreateMessagesResponse

The request message for [Conversations.BatchCreateMessagesResponse][].

BatchDeleteEntitiesRequest

The request message for EntityTypes.BatchDeleteEntities.

BatchDeleteEntityTypesRequest

The request message for EntityTypes.BatchDeleteEntityTypes.

BatchDeleteIntentsRequest

The request message for Intents.BatchDeleteIntents.

BatchUpdateEntitiesRequest

The request message for EntityTypes.BatchUpdateEntities.

BatchUpdateEntityTypesRequest

The request message for EntityTypes.BatchUpdateEntityTypes.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

BatchUpdateEntityTypesResponse

The response message for EntityTypes.BatchUpdateEntityTypes.

BatchUpdateIntentsRequest

The request message for Intents.BatchUpdateIntents.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

BatchUpdateIntentsResponse

The response message for Intents.BatchUpdateIntents.

ClearSuggestionFeatureConfigOperationMetadata

Metadata for a [ConversationProfile.ClearSuggestionFeatureConfig][] operation.

ClearSuggestionFeatureConfigRequest

The request message for [ConversationProfiles.ClearFeature][].

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.

CompileSuggestionRequest

The request message for Participants.CompileSuggestion.

CompileSuggestionResponse

The response message for Participants.CompileSuggestion.

CompleteConversationRequest

The request message for Conversations.CompleteConversation.

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 <https://cloud.google.com/dialogflow/docs/contexts-overview>__.

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.

ConversationStage

Enumeration of the different conversation stages a conversation can be in. Reference:

https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages

LifecycleState

Enumeration of the completion status of the conversation.

ConversationEvent

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

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Type

Enumeration of the types of events available.

    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.

ConversationPhoneNumber

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

ConversationProfile

Defines the services to connect to incoming Dialogflow conversations.

CreateContextRequest

The request message for Contexts.CreateContext.

CreateConversationProfileRequest

The request message for ConversationProfiles.CreateConversationProfile.

CreateConversationRequest

The request message for Conversations.CreateConversation.

CreateDocumentRequest

Request message for Documents.CreateDocument.

CreateEntityTypeRequest

The request message for EntityTypes.CreateEntityType.

CreateEnvironmentRequest

The request message for Environments.CreateEnvironment.

CreateIntentRequest

The request message for Intents.CreateIntent.

CreateKnowledgeBaseRequest

Request message for KnowledgeBases.CreateKnowledgeBase.

CreateMessageRequest

The request message to create one Message. Currently it is only used in BatchCreateMessagesRequest.

CreateParticipantRequest

The request message for Participants.CreateParticipant.

CreateSessionEntityTypeRequest

The request message for SessionEntityTypes.CreateSessionEntityType.

CreateVersionRequest

The request message for Versions.CreateVersion.

DeleteAgentRequest

The request message for Agents.DeleteAgent.

DeleteAllContextsRequest

The request message for Contexts.DeleteAllContexts.

DeleteContextRequest

The request message for Contexts.DeleteContext.

DeleteConversationProfileRequest

The request message for ConversationProfiles.DeleteConversationProfile.

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

DeleteDocumentRequest

Request message for Documents.DeleteDocument.

DeleteEntityTypeRequest

The request message for EntityTypes.DeleteEntityType.

DeleteEnvironmentRequest

The request message for Environments.DeleteEnvironment.

DeleteIntentRequest

The request message for Intents.DeleteIntent.

DeleteKnowledgeBaseRequest

Request message for KnowledgeBases.DeleteKnowledgeBase.

DeleteSessionEntityTypeRequest

The request message for SessionEntityTypes.DeleteSessionEntityType.

DeleteVersionRequest

The request message for Versions.DeleteVersion.

DetectIntentRequest

The request to detect user's intent.

DetectIntentResponse

The message returned from the DetectIntent method.

DialogflowAssistAnswer

Represents a Dialogflow assist answer.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Document

A knowledge document to be used by a KnowledgeBase.

For more information, see the knowledge base guide <https://cloud.google.com/dialogflow/docs/how/knowledge-bases>__.

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

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

KnowledgeType

The knowledge type of document content.

    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 (2):
    Documents for which unstructured text is
    extracted and used for question answering.
ARTICLE_SUGGESTION (3):
    The entire document content as a whole can be
    used for query results. Only for Contact Center
    Solutions on Dialogflow.
AGENT_FACING_SMART_REPLY (4):
    The document contains agent-facing Smart
    Reply entries.
SMART_REPLY (4):
    The legacy enum for agent-facing smart reply
    feature.

MetadataEntry

The abstract base class for a message.

ReloadStatus

The status of a reload attempt.

State

Possible states of the document

DtmfParameters

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

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 <https://cloud.google.com/dialogflow/docs/entities-overview>__.

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).

Entity

An entity entry for an associated entity type.

Kind

Represents kinds of entities.

EntityTypeBatch

This message is a wrapper around 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 <https://cloud.google.com/dialogflow/docs/agents-versions>__.

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.

EnvironmentHistory

The response message for Environments.GetEnvironmentHistory.

Entry

Represents an environment history entry.

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?".

ExportAgentRequest

The request message for Agents.ExportAgent.

ExportAgentResponse

The response message for Agents.ExportAgent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ExportOperationMetadata

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

FaqAnswer

Represents answer from "frequently asked questions".

MetadataEntry

The abstract base class for a message.

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 <https://cloud.google.com/dialogflow/docs/fulfillment-overview>__.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Feature

Whether fulfillment is enabled for the specific feature.

Type

The type of the feature.

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.

RequestHeadersEntry

The abstract base class for a message.

GcsDestination

Google Cloud Storage location for the output.

GcsSource

Google Cloud Storage location for single input.

GcsSources

Google Cloud Storage locations for the inputs.

GenerateStatelessSummaryRequest

The request message for Conversations.GenerateStatelessSummary.

MinimalConversation

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

GenerateStatelessSummaryResponse

The response message for Conversations.GenerateStatelessSummary.

Summary

Generated summary for a conversation.

TextSectionsEntry

The abstract base class for a message.

GetAgentRequest

The request message for Agents.GetAgent.

GetAnswerRecordRequest

Request message for AnswerRecords.GetAnswerRecord.

GetContextRequest

The request message for Contexts.GetContext.

GetConversationProfileRequest

The request message for ConversationProfiles.GetConversationProfile.

GetConversationRequest

The request message for Conversations.GetConversation.

GetDocumentRequest

Request message for Documents.GetDocument.

GetEntityTypeRequest

The request message for EntityTypes.GetEntityType.

GetEnvironmentHistoryRequest

The request message for Environments.GetEnvironmentHistory.

GetEnvironmentRequest

The request message for Environments.GetEnvironment.

GetFulfillmentRequest

The request message for Fulfillments.GetFulfillment.

GetIntentRequest

The request message for Intents.GetIntent.

GetKnowledgeBaseRequest

Request message for KnowledgeBases.GetKnowledgeBase.

GetParticipantRequest

The request message for Participants.GetParticipant.

GetSessionEntityTypeRequest

The request message for SessionEntityTypes.GetSessionEntityType.

GetValidationResultRequest

The request message for Agents.GetValidationResult.

GetVersionRequest

The request message for Versions.GetVersion.

HumanAgentAssistantConfig

Defines the Human Agent Assistant to connect to a conversation.

ConversationModelConfig

Custom conversation models used in agent assist feature.

Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION.

ConversationProcessConfig

Config to process conversation.

MessageAnalysisConfig

Configuration for analyses to run on each conversation message.

SuggestionConfig

Detail human agent assistant config.

SuggestionFeatureConfig

Config for suggestion features.

SuggestionQueryConfig

Config for suggestion query.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ContextFilterSettings

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

DialogflowQuerySource

Dialogflow source setting.

Supported feature: DIALOGFLOW_ASSIST, ENTITY_EXTRACTION.

HumanAgentSideConfig

The configuration used for human agent side Dialogflow assist suggestion.

DocumentQuerySource

Document source settings.

Supported features: SMART_REPLY, SMART_COMPOSE.

KnowledgeBaseQuerySource

Knowledge base source settings.

Supported features: ARTICLE_SUGGESTION, FAQ.

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.

SectionType

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

SuggestionTriggerSettings

Settings of suggestion trigger.

HumanAgentAssistantEvent

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

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

LivePersonConfig

Configuration specific to LivePerson (https://www.liveperson.com).

SalesforceLiveAgentConfig

Configuration specific to Salesforce Live Agent.

ImportAgentRequest

The request message for Agents.ImportAgent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ImportDocumentTemplate

The template used for importing documents.

MetadataEntry

The abstract base class for a message.

ImportDocumentsRequest

Request message for Documents.ImportDocuments.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ImportDocumentsResponse

Response message for Documents.ImportDocuments.

InputAudioConfig

Instructs the speech recognizer on how to process the audio content.

InputTextConfig

Defines the language used in the input text.

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 <https://cloud.google.com/dialogflow/docs/intents-overview>__.

FollowupIntentInfo

Represents a single followup intent in the chain.

Message

Corresponds to the Response field in the Dialogflow console.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

BasicCard

The basic card message. Useful for displaying information.

Button

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

OpenUriAction

Opens the given URI.

BrowseCarouselCard

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

BrowseCarouselCardItem

Browsing carousel tile

OpenUrlAction

Actions on Google action to open a given url.

UrlTypeHint

Type of the URI.

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.

Card

The card response message.

Button

Optional. Contains information about a button.

CarouselSelect

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

Item

An item in the carousel.

ColumnProperties

Column properties for TableCard.

HorizontalAlignment

Text alignments within a cell.

Image

The image response message.

LinkOutSuggestion

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

ListSelect

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

Item

An item in the list.

MediaContent

The media content card for Actions on Google.

ResponseMediaObject

Response media object for media content card.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ResponseMediaType

Format of response media type.

Platform

Represents different platforms that a rich message can be intended for.

QuickReplies

The quick replies response message.

RbmCardContent

Rich Business Messaging (RBM) Card content

RbmMedia

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

Height

Media height

RbmCarouselCard

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.

CardWidth

The width of the cards in the carousel.

RbmStandaloneCard

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.

CardOrientation

Orientation of the card.

ThumbnailImageAlignment

Thumbnail preview alignment for standalone cards with horizontal layout.

RbmSuggestedAction

Rich Business Messaging (RBM) suggested client-side action that the user can choose from the card.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

RbmSuggestedActionDial

Opens the user's default dialer app with the specified phone number but does not dial automatically.

RbmSuggestedActionOpenUri

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.

RbmSuggestedActionShareLocation

Opens the device's location chooser so the user can pick a location to send back to the agent.

RbmSuggestedReply

Rich Business Messaging (RBM) suggested reply that the user can click instead of typing in their own response.

RbmSuggestion

Rich Business Messaging (RBM) suggestion. Suggestions allow user to easily select/click a predefined response or perform an action (like opening a web uri).

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

RbmText

Rich Business Messaging (RBM) text response with suggestions.

SelectItemInfo

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

SimpleResponse

The simple response message containing speech or text.

SimpleResponses

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

Suggestion

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

Suggestions

The collection of suggestions.

TableCard

Table card for Actions on Google.

TableCardCell

Cell of TableCardRow.

TableCardRow

Row of TableCard.

TelephonyPlayAudio

Plays audio from a file in Telephony Gateway.

TelephonySynthesizeSpeech

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

TelephonyTransferCall

Transfers the call in Telephony Gateway.

Text

The text response message.

Parameter

Represents intent parameters.

TrainingPhrase

Represents an example that the agent is trained on.

Part

Represents a part of a training phrase.

Type

Represents different types of training phrases.

WebhookState

Represents the different states that webhooks can be in.

IntentBatch

This message is a wrapper around a collection of intents.

IntentInput

Represents the intent to trigger programmatically rather than as a result of natural language processing. The intent input is only used for V3 agent.

IntentSuggestion

Represents an intent suggestion.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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.

KnowledgeAnswers

Represents the result of querying a Knowledge base.

Answer

An answer from Knowledge Connector.

MatchConfidenceLevel

Represents the system's confidence that this knowledge answer is a good match for this conversational query.

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 <https://cloud.google.com/dialogflow/docs/how/knowledge-bases>__.

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

KnowledgeOperationMetadata

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

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

State

States of the operation.

ListAnswerRecordsRequest

Request message for AnswerRecords.ListAnswerRecords.

ListAnswerRecordsResponse

Response message for AnswerRecords.ListAnswerRecords.

ListContextsRequest

The request message for Contexts.ListContexts.

ListContextsResponse

The response message for Contexts.ListContexts.

ListConversationProfilesRequest

The request message for ConversationProfiles.ListConversationProfiles.

ListConversationProfilesResponse

The response message for ConversationProfiles.ListConversationProfiles.

ListConversationsRequest

The request message for Conversations.ListConversations.

ListConversationsResponse

The response message for Conversations.ListConversations.

ListDocumentsRequest

Request message for Documents.ListDocuments.

ListDocumentsResponse

Response message for Documents.ListDocuments.

ListEntityTypesRequest

The request message for EntityTypes.ListEntityTypes.

ListEntityTypesResponse

The response message for EntityTypes.ListEntityTypes.

ListEnvironmentsRequest

The request message for Environments.ListEnvironments.

ListEnvironmentsResponse

The response message for Environments.ListEnvironments.

ListIntentsRequest

The request message for Intents.ListIntents.

ListIntentsResponse

The response message for Intents.ListIntents.

ListKnowledgeBasesRequest

Request message for KnowledgeBases.ListKnowledgeBases.

ListKnowledgeBasesResponse

Response message for KnowledgeBases.ListKnowledgeBases.

ListMessagesRequest

The request message for Conversations.ListMessages.

ListMessagesResponse

The response message for Conversations.ListMessages.

ListParticipantsRequest

The request message for Participants.ListParticipants.

ListParticipantsResponse

The response message for Participants.ListParticipants.

ListSessionEntityTypesRequest

The request message for SessionEntityTypes.ListSessionEntityTypes.

ListSessionEntityTypesResponse

The response message for SessionEntityTypes.ListSessionEntityTypes.

ListSuggestionsRequest

The request message for Participants.ListSuggestions.

ListSuggestionsResponse

The response message for Participants.ListSuggestions.

ListVersionsRequest

The request message for Versions.ListVersions.

ListVersionsResponse

The response message for Versions.ListVersions.

LoggingConfig

Defines logging behavior for conversation lifecycle events.

Message

Represents a message posted into a conversation.

MessageAnnotation

Represents the result of annotation for the message.

NotificationConfig

Defines notification behavior.

MessageFormat

Format of cloud pub/sub message.

OriginalDetectIntentRequest

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

OutputAudio

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

OutputAudioConfig

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.

OutputAudioEncoding

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

Participant

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

DocumentsMetadataFiltersEntry

The abstract base class for a message.

Role

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

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

QueryParameters

Represents the parameters of the conversational query.

WebhookHeadersEntry

The abstract base class for a message.

QueryResult

Represents the result of conversational query or event processing.

ReloadDocumentRequest

Request message for Documents.ReloadDocument.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ResponseMessage

Response messages from an automated agent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

EndInteraction

Indicates that interaction with the Dialogflow agent has ended.

LiveAgentHandoff

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.

MixedAudio

Represents an audio message that is composed of both segments synthesized from the Dialogflow agent prompts and ones hosted externally at the specified URIs.

Segment

Represents one segment of audio.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

TelephonyTransferCall

Represents the signal that telles the client to transfer the phone call connected to the agent to a third-party endpoint.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Text

The text response message.

RestoreAgentRequest

The request message for Agents.RestoreAgent.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

SearchAgentsRequest

The request message for Agents.SearchAgents.

SearchAgentsResponse

The response message for Agents.SearchAgents.

SearchKnowledgeAnswer

Represents a SearchKnowledge answer.

AnswerSource

The sources of the answers.

AnswerType

The type of the answer.

SearchKnowledgeRequest

The request message for Conversations.SearchKnowledge.

SearchKnowledgeResponse

The response message for Conversations.SearchKnowledge.

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.

SentimentAnalysisRequestConfig

Configures the types of sentiment analysis to perform.

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 [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

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 <https://cloud.google.com/dialogflow/docs/entities-session>__.

EntityOverrideMode

The types of modifications for a session 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
    <xref uid="google.cloud.dialogflow.v2beta1.EntityTypes.GetEntityType">EntityTypes.GetEntityType</xref>
    on the custom entity type and merge.

SetAgentRequest

The request message for Agents.SetAgent.

SetSuggestionFeatureConfigOperationMetadata

Metadata for a [ConversationProfile.SetSuggestionFeatureConfig][] operation.

SetSuggestionFeatureConfigRequest

The request message for [ConversationProfiles.SetSuggestionFeature][].

SmartReplyAnswer

Represents a smart reply answer.

SpeechContext

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

SpeechModelVariant

Variant of the specified [Speech model][google.cloud.dialogflow.v2beta1.InputAudioConfig.model] to use.

See the Cloud Speech documentation <https://cloud.google.com/speech-to-text/docs/enhanced-models>__ 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.

    Please see the `Dialogflow
    docs <https://cloud.google.com/dialogflow/docs/data-logging>`__
    for how to make your project eligible for enhanced models.
USE_STANDARD (2):
    Use standard model variant even if an enhanced model is
    available. See the `Cloud Speech
    documentation <https://cloud.google.com/speech-to-text/docs/enhanced-models>`__
    for details about enhanced models.
USE_ENHANCED (3):
    Use an enhanced model variant:

    -  If an enhanced variant does not exist for the given
       <xref uid="google.cloud.dialogflow.v2beta1.InputAudioConfig.model">model</xref>
       and request language, Dialogflow falls back to the
       standard variant.

       The `Cloud Speech
       documentation <https://cloud.google.com/speech-to-text/docs/enhanced-models>`__
       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 <https://cloud.google.com/dialogflow/docs/data-logging>`__
       for how to make your project eligible.

SpeechToTextConfig

Configures speech transcription for ConversationProfile.

SpeechWordInfo

Information for a word recognized by the speech recognizer.

SsmlVoiceGender

Gender of the voice as described in SSML voice element <https://www.w3.org/TR/speech-synthesis11/#edef_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 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.

2. If config in the first message was set to audio_config, all subsequent messages must contain input_audio to continue with Speech recognition. If you decide to rather analyze text input after you already started Speech recognition, please send a message with StreamingAnalyzeContentRequest.input_text.

   However, note that:

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

3. If 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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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_reply\ s 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.

StreamingDetectIntentRequest

The top-level message sent by the client to the Sessions.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.

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, alternative_query_results and optionally webhook_status if a WebHook was called.

3. If output_audio_config was specified in the request or agent-level speech synthesizer is configured, all subsequent messages contain output_audio and output_audio_config.

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".

MessageType

Type of the response message.

SubAgent

Contains basic configuration for a sub-agent.

SuggestArticlesRequest

The request message for Participants.SuggestArticles.

SuggestArticlesResponse

The response message for Participants.SuggestArticles.

SuggestConversationSummaryRequest

The request message for Conversations.SuggestConversationSummary.

SuggestConversationSummaryResponse

The response message for Conversations.SuggestConversationSummary.

Summary

Generated summary for a conversation.

TextSectionsEntry

The abstract base class for a message.

SuggestDialogflowAssistsResponse

The response message for Participants.SuggestDialogflowAssists.

SuggestFaqAnswersRequest

The request message for Participants.SuggestFaqAnswers.

SuggestFaqAnswersResponse

The request message for Participants.SuggestFaqAnswers.

SuggestSmartRepliesRequest

The request message for Participants.SuggestSmartReplies.

SuggestSmartRepliesResponse

The response message for Participants.SuggestSmartReplies.

Suggestion

Represents a suggestion for a human agent.

Article

Represents suggested article.

MetadataEntry

The abstract base class for a message.

FaqAnswer

Represents suggested answer from "frequently asked questions".

MetadataEntry

The abstract base class for a message.

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.

Type

Defines the type of Human Agent Assistant feature.

SuggestionInput

Represents the selection of a suggestion.

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

SynthesizeSpeechConfig

Configuration of how speech should be synthesized.

TelephonyDtmf

DTMF <https://en.wikipedia.org/wiki/Dual-tone_multi-frequency_signaling>__ digit in Telephony Gateway.

TelephonyDtmfEvents

A wrapper of repeated TelephonyDtmf digits.

TextInput

Represents the natural language text to be processed.

TextToSpeechSettings

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

SynthesizeSpeechConfigsEntry

The abstract base class for a message.

TrainAgentRequest

The request message for Agents.TrainAgent.

UpdateAnswerRecordRequest

Request message for AnswerRecords.UpdateAnswerRecord.

UpdateContextRequest

The request message for Contexts.UpdateContext.

UpdateConversationProfileRequest

The request message for ConversationProfiles.UpdateConversationProfile.

UpdateDocumentRequest

Request message for Documents.UpdateDocument.

UpdateEntityTypeRequest

The request message for EntityTypes.UpdateEntityType.

UpdateEnvironmentRequest

The request message for Environments.UpdateEnvironment.

UpdateFulfillmentRequest

The request message for Fulfillments.UpdateFulfillment.

UpdateIntentRequest

The request message for Intents.UpdateIntent.

UpdateKnowledgeBaseRequest

Request message for KnowledgeBases.UpdateKnowledgeBase.

UpdateParticipantRequest

The request message for Participants.UpdateParticipant.

UpdateSessionEntityTypeRequest

The request message for SessionEntityTypes.UpdateSessionEntityType.

UpdateVersionRequest

The request message for Versions.UpdateVersion.

ValidationError

Represents a single validation error.

Severity

Represents a level of severity.

ValidationResult

Represents the output of agent validation.

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 <https://cloud.google.com/dialogflow/docs/agents-versions>__.

VersionStatus

The status of a version.

VoiceSelectionParams

Description of which voice to use for speech synthesis.

WebhookRequest

The request message for a webhook 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 <https://developers.google.com/protocol-buffers/docs/proto3#json>__.

Modules

pagers

API documentation for dialogflow_v2.services.agents.pagers module.

pagers

API documentation for dialogflow_v2.services.answer_records.pagers module.

pagers

API documentation for dialogflow_v2.services.contexts.pagers module.

pagers

API documentation for dialogflow_v2.services.conversation_datasets.pagers module.

pagers

API documentation for dialogflow_v2.services.conversation_models.pagers module.

pagers

API documentation for dialogflow_v2.services.conversation_profiles.pagers module.

pagers

API documentation for dialogflow_v2.services.conversations.pagers module.

pagers

API documentation for dialogflow_v2.services.documents.pagers module.

pagers

API documentation for dialogflow_v2.services.entity_types.pagers module.

pagers

API documentation for dialogflow_v2.services.environments.pagers module.

pagers

API documentation for dialogflow_v2.services.intents.pagers module.

pagers

API documentation for dialogflow_v2.services.knowledge_bases.pagers module.

pagers

API documentation for dialogflow_v2.services.participants.pagers module.

pagers

API documentation for dialogflow_v2.services.session_entity_types.pagers module.

pagers

API documentation for dialogflow_v2.services.versions.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.agents.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.answer_records.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.contexts.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.conversation_profiles.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.conversations.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.documents.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.entity_types.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.environments.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.intents.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.knowledge_bases.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.participants.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.session_entity_types.pagers module.

pagers

API documentation for dialogflow_v2beta1.services.versions.pagers module.