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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
MatchTypeCount(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Count by Match.MatchType of the matches in the conversation.
QueryInputCount
QueryInputCount(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Count by types of QueryInput of the requests in the conversation.