Central instance to access all Contactcenterinsights related resource activities
The analysis resource.
The result of an analysis.
Call-specific metadata created during 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.
Configuration for summarization.
The feedback that the customer has about a certain answer in the conversation.
Agent Assist Article Suggestion data.
The request to analyze conversations in bulk.
The request to delete conversations in bulk.
Response of querying an issue model’s statistics.
The response for calculating conversation statistics.
A time series representing conversations over time.
A single interval in a time series.
A piece of metadata that applies to a window of a call.
The conversation resource.
Call-specific metadata.
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 metadata related to quality management.
Information about an agent involved in the conversation.
Conversation summarization suggestion data.
A message representing the transcript of a conversation.
A segment of a full transcript.
Metadata from Dialogflow relating to the current transcript segment.
Word-level info for words in a transcript.
The request 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.
The request to export insights.
A BigQuery Table Reference.
Request to export an issue model.
Google Cloud Storage Object URI to save the issue model to.
Agent Assist frequently-asked-question answer data.
A Cloud Storage source of conversation data.
The data for a hold annotation.
Request to import an issue model.
Google Cloud Storage Object URI to get the issue model file from.
The request to ingest conversations.
Configuration that applies to all conversations.
Configuration for Cloud Storage bucket sources.
Configuration for processing transcript objects.
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.
Configs for the input data used to create the issue model.
Aggregated statistics about an issue model.
Aggregated statistics about an issue.
Issue Modeling result on a conversation.
The response to list analyses.
The response of listing conversations.
The response of listing issue models.
The response of listing issues.
The response of listing phrase matchers.
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.
Default configuration when creating Analyses in Insights.
The data for a silence annotation.
Agent Assist Smart Compose suggestion data.
Agent Assist Smart Reply data.
Speech-to-Text configuration.
The request to undeploy an issue model.
Request to upload a conversation.
The View resource.
The response message for Operations.ListOperations.
This resource represents a long-running operation that is the result of a network API call.
A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
The
Status
type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by
gRPC. Each
Status
message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the
API Design Guide.
Creates an analysis. The long running operation is done when the analysis has completed.
Deletes an analysis.
Gets an analysis.
Lists analyses.
Analyzes multiple conversations in a single request.
Deletes multiple conversations in a single request.
Gets conversation statistics.
Creates a conversation.
Deletes a conversation.
Gets a conversation.
Imports conversations and processes them according to the user’s configuration.
Lists conversations.
Updates a conversation.
Create a longrunning conversation upload operation. This method differs from CreateConversation by allowing audio transcription and optional DLP redaction.
Gets project-level settings.
Export insights data to a destination defined in the request body.
Gets an issue model’s statistics.
Creates an issue model.
Deletes an issue model.
Deploys an issue model. Returns an error if a model is already deployed. An issue model can only be used in analysis after it has been deployed.
Exports an issue model to the provided destination.
Gets an issue model.
Imports an issue model from a Cloud Storage bucket.
Deletes an issue.
Gets an issue.
Lists issues.
Updates an issue.
Lists issue models.
Updates an issue model.
Undeploys an issue model. An issue model can not be used in analysis after it has been undeployed.
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED
. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED
.
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
Lists operations that match the specified filter in the request. If the server doesn’t support this method, it returns UNIMPLEMENTED
.
Creates a phrase matcher.
Deletes a phrase matcher.
Gets a phrase matcher.
Lists phrase matchers.
Updates a phrase matcher.
Updates project-level settings.
Creates a view.
Deletes a view.
Gets a view.
Lists views.
Updates a view.
A builder providing access to all methods supported on
project resources.
It is not used directly, but through the
Contactcenterinsights
hub.