Nested message and enum types in AnalysisResult
.
Nested message and enum types in AnnotationBoundary
.
Nested message and enum types in AnnotatorSelector
.
Nested message and enum types in AnswerFeedback
.
Nested message and enum types in CalculateStatsResponse
.
Nested message and enum types in CallAnnotation
.
Generated client implementations.
Nested message and enum types in Conversation
.
Nested message and enum types in ConversationDataSource
.
Nested message and enum types in ConversationParticipant
.
Nested message and enum types in Entity
.
Nested message and enum types in EntityMentionData
.
Nested message and enum types in ExportInsightsDataRequest
.
Nested message and enum types in IngestConversationsMetadata
.
Nested message and enum types in IngestConversationsRequest
.
Nested message and enum types in IssueModel
.
Nested message and enum types in IssueModelLabelStats
.
Nested message and enum types in PhraseMatchRuleConfig
.
Nested message and enum types in PhraseMatchRuleGroup
.
Nested message and enum types in PhraseMatcher
.
Nested message and enum types in RuntimeAnnotation
.
Nested message and enum types in Settings
.
The analysis resource.
The result of an analysis.
A point in a conversation that marks the start or the end of an annotation.
Selector of all available annotators and phrase matchers to run.
The feedback that the customer has about a certain answer in the
conversation.
Agent Assist Article Suggestion data.
The metadata for a bulk analyze conversations operation.
The request to analyze conversations in bulk.
The response for a bulk analyze conversations operation.
The metadata for a bulk delete conversations operation.
The request to delete conversations in bulk.
The response for a bulk delete conversations operation.
Request to get statistics of an issue model.
Response of querying an issue model’s statistics.
The request for calculating conversation statistics.
The response for calculating conversation statistics.
A piece of metadata that applies to a window of a call.
The conversation resource.
The conversation source, which is a combination of transcript and audio.
One channel of conversation-level sentiment data.
The call participant speaking for a given utterance.
Conversation summarization suggestion data.
Metadata for a create analysis operation.
The request to create an analysis.
Request to create a conversation.
Metadata for creating an issue model.
The request to create an issue model.
Request to create a phrase matcher.
The request to create a view.
The request to delete an analysis.
The request to delete a conversation.
Metadata for deleting an issue model.
The request to delete an issue model.
The request to delete an issue.
The request to delete a phrase matcher.
The request to delete a view.
Metadata for deploying an issue model.
The request to deploy an issue model.
The response to deploy an issue model.
The data for a Dialogflow intent.
Represents a detected intent in the conversation, e.g. MAKES_PROMISE.
Dialogflow interaction data.
A Dialogflow source of conversation data.
The data for an entity annotation.
Represents a phrase in the conversation that is a known entity, such
as a person, an organization, or location.
The data for an entity mention annotation.
This represents a mention of an Entity
in the conversation.
Exact match configuration.
Metadata for an export insights operation.
The request to export insights.
Response for an export insights operation.
Agent Assist frequently-asked-question answer data.
A Cloud Storage source of conversation data.
The request to get an analysis.
The request to get a conversation.
The request to get an issue model.
The request to get an issue.
The request to get a a phrase matcher.
The request to get project-level settings.
The request to get a view.
The data for a hold annotation.
The metadata for an IngestConversations operation.
The request to ingest conversations.
The response to an IngestConversations operation.
The data for an intent.
Represents a detected intent in the conversation, for example MAKES_PROMISE.
The data for an intent match.
Represents an intent match for a text segment in the conversation. A text
segment can be part of a sentence, a complete sentence, or an utterance
with multiple sentences.
The data for an interruption annotation.
The issue resource.
Information about the issue.
The data for an issue match annotation.
The issue model resource.
Aggregated statistics about an issue model.
Issue Modeling result on a conversation.
The request to list analyses.
The response to list analyses.
Request to list conversations.
The response of listing conversations.
Request to list issue models.
The response of listing issue models.
Request to list issues.
The response of listing issues.
Request to list phrase matchers.
The response of listing phrase matchers.
The request to list views.
The response of listing views.
The data for a matched phrase matcher.
Represents information identifying a phrase matcher for a given match.
The data for a phrase match rule.
Configuration information of a phrase match rule.
A message representing a rule in the phrase matcher.
The phrase matcher resource.
DLP resources used for redaction while ingesting conversations.
An annotation that was generated during the customer and agent interaction.
The data for a sentiment annotation.
The settings resource.
The data for a silence annotation.
Agent Assist Smart Compose suggestion data.
Agent Assist Smart Reply data.
Speech-to-Text configuration.
Metadata for undeploying an issue model.
The request to undeploy an issue model.
The response to undeploy an issue model.
The request to update a conversation.
The request to update an issue model.
The request to update an issue.
The request to update a phrase matcher.
The request to update project-level settings.
The request to update a view.
The metadata for an UploadConversation operation.
Request to upload a conversation.
The View resource.