Amazon Connect Contact Lens

2024/07/23 - Amazon Connect Contact Lens - 1 updated api methods

Changes  Added PostContactSummary segment type on ListRealTimeContactAnalysisSegmentsV2 API

ListRealtimeContactAnalysisSegments (updated) Link ΒΆ
Changes (response)
{'Segments': {'PostContactSummary': {'Content': 'string',
                                     'FailureCode': 'QUOTA_EXCEEDED | '
                                                    'INSUFFICIENT_CONVERSATION_CONTENT '
                                                    '| '
                                                    'FAILED_SAFETY_GUIDELINES '
                                                    '| '
                                                    'INVALID_ANALYSIS_CONFIGURATION '
                                                    '| INTERNAL_ERROR',
                                     'Status': 'FAILED | COMPLETED'}}}

Provides a list of analysis segments for a real-time analysis session.

See also: AWS API Documentation

Request Syntax

client.list_realtime_contact_analysis_segments(
    InstanceId='string',
    ContactId='string',
    MaxResults=123,
    NextToken='string'
)
type InstanceId:

string

param InstanceId:

[REQUIRED]

The identifier of the Amazon Connect instance.

type ContactId:

string

param ContactId:

[REQUIRED]

The identifier of the contact.

type MaxResults:

integer

param MaxResults:

The maximum number of results to return per page.

type NextToken:

string

param NextToken:

The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

rtype:

dict

returns:

Response Syntax

{
    'Segments': [
        {
            'Transcript': {
                'Id': 'string',
                'ParticipantId': 'string',
                'ParticipantRole': 'string',
                'Content': 'string',
                'BeginOffsetMillis': 123,
                'EndOffsetMillis': 123,
                'Sentiment': 'POSITIVE'|'NEUTRAL'|'NEGATIVE',
                'IssuesDetected': [
                    {
                        'CharacterOffsets': {
                            'BeginOffsetChar': 123,
                            'EndOffsetChar': 123
                        }
                    },
                ]
            },
            'Categories': {
                'MatchedCategories': [
                    'string',
                ],
                'MatchedDetails': {
                    'string': {
                        'PointsOfInterest': [
                            {
                                'BeginOffsetMillis': 123,
                                'EndOffsetMillis': 123
                            },
                        ]
                    }
                }
            },
            'PostContactSummary': {
                'Content': 'string',
                'Status': 'FAILED'|'COMPLETED',
                'FailureCode': 'QUOTA_EXCEEDED'|'INSUFFICIENT_CONVERSATION_CONTENT'|'FAILED_SAFETY_GUIDELINES'|'INVALID_ANALYSIS_CONFIGURATION'|'INTERNAL_ERROR'
            }
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) --

    • Segments (list) --

      An analyzed transcript or category.

      • (dict) --

        An analyzed segment for a real-time analysis session.

        • Transcript (dict) --

          The analyzed transcript.

          • Id (string) --

            The identifier of the transcript.

          • ParticipantId (string) --

            The identifier of the participant. Valid values are CUSTOMER or AGENT.

          • ParticipantRole (string) --

            The role of participant. For example, is it a customer, agent, or system.

          • Content (string) --

            The content of the transcript.

          • BeginOffsetMillis (integer) --

            The beginning offset in the contact for this transcript.

          • EndOffsetMillis (integer) --

            The end offset in the contact for this transcript.

          • Sentiment (string) --

            The sentiment detected for this piece of transcript.

          • IssuesDetected (list) --

            List of positions where issues were detected on the transcript.

            • (dict) --

              Potential issues that are detected based on an artificial intelligence analysis of each turn in the conversation.

              • CharacterOffsets (dict) --

                The offset for when the issue was detected in the segment.

                • BeginOffsetChar (integer) --

                  The beginning of the issue.

                • EndOffsetChar (integer) --

                  The end of the issue.

        • Categories (dict) --

          The matched category rules.

          • MatchedCategories (list) --

            The category rules that have been matched in the analyzed segment.

            • (string) --

          • MatchedDetails (dict) --

            The category rule that was matched and when it occurred in the transcript.

            • (string) --

              • (dict) --

                Provides information about the category rule that was matched.

                • PointsOfInterest (list) --

                  The section of audio where the category rule was detected.

                  • (dict) --

                    The section of the contact audio where that category rule was detected.

                    • BeginOffsetMillis (integer) --

                      The beginning offset in milliseconds where the category rule was detected.

                    • EndOffsetMillis (integer) --

                      The ending offset in milliseconds where the category rule was detected.

        • PostContactSummary (dict) --

          Information about the post-contact summary.

          • Content (string) --

            The content of the summary.

          • Status (string) --

            Whether the summary was successfully COMPLETED or FAILED to be generated.

          • FailureCode (string) --

            If the summary failed to be generated, one of the following failure codes occurs:

            • QUOTA_EXCEEDED: The number of concurrent analytics jobs reached your service quota.

            • INSUFFICIENT_CONVERSATION_CONTENT: The conversation needs to have at least one turn from both the participants in order to generate the summary.

            • FAILED_SAFETY_GUIDELINES: The generated summary cannot be provided because it failed to meet system safety guidelines.

            • INVALID_ANALYSIS_CONFIGURATION: This code occurs when, for example, you're using a language that isn't supported by generative AI-powered post-contact summaries.

            • INTERNAL_ERROR: Internal system error.

    • NextToken (string) --

      If there are additional results, this is the token for the next set of results. If response includes nextToken there are two possible scenarios:

      • There are more segments so another call is required to get them.

      • There are no more segments at this time, but more may be available later (real-time analysis is in progress) so the client should call the operation again to get new segments.

      If response does not include nextToken, the analysis is completed (successfully or failed) and there are no more segments to retrieve.