Class Metrics (1.42.0)

Metrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents metrics for the conversation.

Attributes
Name	Description
`interaction_count`	`int` The number of interactions in the conversation.
`input_audio_duration`	`google.protobuf.duration_pb2.Duration` Duration of all the input's audio in the conversation.
`output_audio_duration`	`google.protobuf.duration_pb2.Duration` Duration of all the output's audio in the conversation.
`max_webhook_latency`	`google.protobuf.duration_pb2.Duration` Maximum latency of the Webhook calls in the conversation.
`has_end_interaction`	`bool` A signal that indicates the interaction with the Dialogflow agent has ended. If any response has the ResponseMessage.end_interaction signal, this is set to true.
`has_live_agent_handoff`	`bool` Hands off conversation to a human agent. If any response has the ResponseMessage.live_agent_handoffsignal, this is set to true.
`average_match_confidence`	`float` The average confidence all of the Match in the conversation. Values range from 0.0 (completely uncertain) to 1.0 (completely certain).
`query_input_count`	`google.cloud.dialogflowcx_v3beta1.types.Conversation.Metrics.QueryInputCount` Query input counts.
`match_type_count`	`google.cloud.dialogflowcx_v3beta1.types.Conversation.Metrics.MatchTypeCount` Match type counts.

Classes

MatchTypeCount(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Count by Match.MatchType of the matches in the conversation.

QueryInputCount(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Count by types of QueryInput of the requests in the conversation.