API documentation for dialogflow_v2.types package.
Classes
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>__.
AgentAssistantFeedback
Detail feedback of Agent Assist result.
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
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:
DetectIntentintent matchingDetectIntentknowledge
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:
- For human agent assistant, customers get suggestion via ListSuggestions API. Together with the answers, AnswerRecord.name are returned to the customers.
- 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.
ArticleSuggestionModelMetadata
Metadata for article suggestion models.
AssistQueryParameters
Represents the parameters of human assist query.
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.
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][].
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.
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
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
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.
CreateConversationModelEvaluationRequest
The request message for ConversationModels.CreateConversationModelEvaluation
CreateConversationModelOperationMetadata
Metadata for a ConversationModels.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.
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
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>__.
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>__.
EnvironmentHistory
The response message for Environments.GetEnvironmentHistory.
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
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".
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
GcsDestination
Google Cloud Storage location for the output.
GcsSources
Google Cloud Storage location for the inputs.
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.
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
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.
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
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>__.
IntentBatch
This message is a wrapper around a collection of intents.
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
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.
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).
QueryInput
Represents the query input. It can contain either:
- An audio config which instructs the speech recognizer how to process the speech audio.
A conversational query in the form of text,.
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.
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.
Sentiment
The sentiment, such as positive/negative feeling or association, for a unit of analysis, such as the query text.
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>__.
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.
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.
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>__.
StreamingDetectIntentRequest
The top-level message sent by the client to the Sessions.StreamingDetectIntent method.
Multiple request messages should be sent in order:
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.
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:
If the
StreamingDetectIntentRequest.input_audiofield was set, therecognition_resultfield is populated for one or more messages. See the StreamingRecognitionResult message for details about the result message sequence.The next message contains
response_id,query_resultand optionallywebhook_statusif 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".
SuggestArticlesRequest
The request message for Participants.SuggestArticles.
SuggestArticlesResponse
The response message for Participants.SuggestArticles.
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.
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.
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.
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.
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>__.
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
{}ornullfor empty objects - Use
[]ornullfor empty arrays
For more information, see the Protocol Buffers Language
Guide <https://developers.google.com/protocol-buffers/docs/proto3#json>__.