Structs

Central instance to access all Contactcenterinsights related resource activities

Call-specific metadata created during analysis.

A point in a conversation that marks the start or the end of an annotation.

The feedback that the customer has about a certain answer in the conversation.

Agent Assist Article Suggestion data.

Response of querying an issue model’s statistics.

The response for calculating conversation statistics.

A time series representing conversations over time.

A piece of metadata that applies to a window of a call.

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.

A message representing the transcript of a conversation.

Metadata from Dialogflow relating to the current transcript segment.

The request to deploy an issue model.

The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE.

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.

Agent Assist frequently-asked-question answer data.

A Cloud Storage source of conversation data.

The data for a hold annotation.

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.

Configs for the input data used to create the issue model.

Aggregated statistics about an issue model.

Issue Modeling result on a conversation.

The response of listing issue models.

The response of listing phrase matchers.

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.

An annotation that was generated during the customer and agent interaction.

The data for a sentiment annotation.

Default configuration when creating Analyses in Insights.

The data for a silence annotation.

Agent Assist Smart Compose suggestion data.

The request to undeploy an issue model.

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 JSON representation for Empty is empty JSON object {}.

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.

Gets conversation statistics.

Updates a conversation.

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.

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. NOTE: the name binding allows API services to override the binding to use different resource name schemes, such as users/*/operations. To override the binding, API services can add a binding such as "/v1/{name=users/*}/operations" to their service configuration. For backwards compatibility, the default name includes the operations collection id, however overriding users must ensure the name binding is the parent resource, without the operations collection id.

Creates a phrase matcher.

Deletes a phrase matcher.

Updates a phrase matcher.

Updates project-level settings.

A builder providing access to all methods supported on project resources. It is not used directly, but through the Contactcenterinsights hub.

Enums

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