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  6. getConversation

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.contactcenterinsights/v1.getConversation

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    Gets a conversation.

    Using getConversation

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getConversation(args: GetConversationArgs, opts?: InvokeOptions): Promise<GetConversationResult>
function getConversationOutput(args: GetConversationOutputArgs, opts?: InvokeOptions): Output<GetConversationResult>
    def get_conversation(conversation_id: Optional[str] = None,
                     location: Optional[str] = None,
                     project: Optional[str] = None,
                     view: Optional[str] = None,
                     opts: Optional[InvokeOptions] = None) -> GetConversationResult
def get_conversation_output(conversation_id: Optional[pulumi.Input[str]] = None,
                     location: Optional[pulumi.Input[str]] = None,
                     project: Optional[pulumi.Input[str]] = None,
                     view: Optional[pulumi.Input[str]] = None,
                     opts: Optional[InvokeOptions] = None) -> Output[GetConversationResult]
    func LookupConversation(ctx *Context, args *LookupConversationArgs, opts ...InvokeOption) (*LookupConversationResult, error)
func LookupConversationOutput(ctx *Context, args *LookupConversationOutputArgs, opts ...InvokeOption) LookupConversationResultOutput

    > Note: This function is named LookupConversation in the Go SDK.

    public static class GetConversation 
{
    public static Task<GetConversationResult> InvokeAsync(GetConversationArgs args, InvokeOptions? opts = null)
    public static Output<GetConversationResult> Invoke(GetConversationInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetConversationResult> getConversation(GetConversationArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

    fn::invoke:
  function: google-native:contactcenterinsights/v1:getConversation
  arguments:
    # arguments dictionary

    The following arguments are supported:

    ConversationId string
    Location string
    Project string
    View string
    ConversationId string
    Location string
    Project string
    View string
    conversationId String
    location String
    project String
    view String
    conversationId string
    location string
    project string
    view string
    conversationId String
    location String
    project String
    view String

    getConversation Result

    The following output properties are available:

    AgentId string
    An opaque, user-specified string representing the human agent who handled the conversation.
    CallMetadata Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse
    Call-specific metadata.
    CreateTime string
    The time at which the conversation was created.
    DataSource Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse
    The source of the audio and transcription for the conversation.
    DialogflowIntents Dictionary<string, string>
    All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}
    Duration string
    The duration of the conversation.
    ExpireTime string
    The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted.
    Labels Dictionary<string, string>
    A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry.
    LanguageCode string
    A user-specified language code for the conversation.
    LatestAnalysis Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1AnalysisResponse
    The conversation's latest analysis, if one exists.
    LatestSummary Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Latest summary of the conversation.
    Medium string
    Immutable. The conversation medium, if unspecified will default to PHONE_CALL.
    Name string
    Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}
    ObfuscatedUserId string
    Obfuscated user ID which the customer sent to us.
    RuntimeAnnotations List<Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse>
    The annotations that were generated during the customer and agent interaction.
    StartTime string
    The time at which the conversation started.
    Transcript Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse
    The conversation transcript.
    Ttl string
    Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.
    TurnCount int
    The number of turns in the conversation.
    UpdateTime string
    The most recent time at which the conversation was updated.
    AgentId string
    An opaque, user-specified string representing the human agent who handled the conversation.
    CallMetadata GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse
    Call-specific metadata.
    CreateTime string
    The time at which the conversation was created.
    DataSource GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse
    The source of the audio and transcription for the conversation.
    DialogflowIntents map[string]string
    All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}
    Duration string
    The duration of the conversation.
    ExpireTime string
    The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted.
    Labels map[string]string
    A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry.
    LanguageCode string
    A user-specified language code for the conversation.
    LatestAnalysis GoogleCloudContactcenterinsightsV1AnalysisResponse
    The conversation's latest analysis, if one exists.
    LatestSummary GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Latest summary of the conversation.
    Medium string
    Immutable. The conversation medium, if unspecified will default to PHONE_CALL.
    Name string
    Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}
    ObfuscatedUserId string
    Obfuscated user ID which the customer sent to us.
    RuntimeAnnotations []GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse
    The annotations that were generated during the customer and agent interaction.
    StartTime string
    The time at which the conversation started.
    Transcript GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse
    The conversation transcript.
    Ttl string
    Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.
    TurnCount int
    The number of turns in the conversation.
    UpdateTime string
    The most recent time at which the conversation was updated.
    agentId String
    An opaque, user-specified string representing the human agent who handled the conversation.
    callMetadata GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse
    Call-specific metadata.
    createTime String
    The time at which the conversation was created.
    dataSource GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse
    The source of the audio and transcription for the conversation.
    dialogflowIntents Map<String,String>
    All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}
    duration String
    The duration of the conversation.
    expireTime String
    The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted.
    labels Map<String,String>
    A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry.
    languageCode String
    A user-specified language code for the conversation.
    latestAnalysis GoogleCloudContactcenterinsightsV1AnalysisResponse
    The conversation's latest analysis, if one exists.
    latestSummary GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Latest summary of the conversation.
    medium String
    Immutable. The conversation medium, if unspecified will default to PHONE_CALL.
    name String
    Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}
    obfuscatedUserId String
    Obfuscated user ID which the customer sent to us.
    runtimeAnnotations List<GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse>
    The annotations that were generated during the customer and agent interaction.
    startTime String
    The time at which the conversation started.
    transcript GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse
    The conversation transcript.
    ttl String
    Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.
    turnCount Integer
    The number of turns in the conversation.
    updateTime String
    The most recent time at which the conversation was updated.
    agentId string
    An opaque, user-specified string representing the human agent who handled the conversation.
    callMetadata GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse
    Call-specific metadata.
    createTime string
    The time at which the conversation was created.
    dataSource GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse
    The source of the audio and transcription for the conversation.
    dialogflowIntents {[key: string]: string}
    All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}
    duration string
    The duration of the conversation.
    expireTime string
    The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted.
    labels {[key: string]: string}
    A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry.
    languageCode string
    A user-specified language code for the conversation.
    latestAnalysis GoogleCloudContactcenterinsightsV1AnalysisResponse
    The conversation's latest analysis, if one exists.
    latestSummary GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Latest summary of the conversation.
    medium string
    Immutable. The conversation medium, if unspecified will default to PHONE_CALL.
    name string
    Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}
    obfuscatedUserId string
    Obfuscated user ID which the customer sent to us.
    runtimeAnnotations GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse[]
    The annotations that were generated during the customer and agent interaction.
    startTime string
    The time at which the conversation started.
    transcript GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse
    The conversation transcript.
    ttl string
    Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.
    turnCount number
    The number of turns in the conversation.
    updateTime string
    The most recent time at which the conversation was updated.
    agent_id str
    An opaque, user-specified string representing the human agent who handled the conversation.
    call_metadata GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse
    Call-specific metadata.
    create_time str
    The time at which the conversation was created.
    data_source GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse
    The source of the audio and transcription for the conversation.
    dialogflow_intents Mapping[str, str]
    All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}
    duration str
    The duration of the conversation.
    expire_time str
    The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted.
    labels Mapping[str, str]
    A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry.
    language_code str
    A user-specified language code for the conversation.
    latest_analysis GoogleCloudContactcenterinsightsV1AnalysisResponse
    The conversation's latest analysis, if one exists.
    latest_summary GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Latest summary of the conversation.
    medium str
    Immutable. The conversation medium, if unspecified will default to PHONE_CALL.
    name str
    Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}
    obfuscated_user_id str
    Obfuscated user ID which the customer sent to us.
    runtime_annotations Sequence[GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse]
    The annotations that were generated during the customer and agent interaction.
    start_time str
    The time at which the conversation started.
    transcript GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse
    The conversation transcript.
    ttl str
    Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.
    turn_count int
    The number of turns in the conversation.
    update_time str
    The most recent time at which the conversation was updated.
    agentId String
    An opaque, user-specified string representing the human agent who handled the conversation.
    callMetadata Property Map
    Call-specific metadata.
    createTime String
    The time at which the conversation was created.
    dataSource Property Map
    The source of the audio and transcription for the conversation.
    dialogflowIntents Map<String>
    All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}
    duration String
    The duration of the conversation.
    expireTime String
    The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted.
    labels Map<String>
    A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry.
    languageCode String
    A user-specified language code for the conversation.
    latestAnalysis Property Map
    The conversation's latest analysis, if one exists.
    latestSummary Property Map
    Latest summary of the conversation.
    medium String
    Immutable. The conversation medium, if unspecified will default to PHONE_CALL.
    name String
    Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}
    obfuscatedUserId String
    Obfuscated user ID which the customer sent to us.
    runtimeAnnotations List<Property Map>
    The annotations that were generated during the customer and agent interaction.
    startTime String
    The time at which the conversation started.
    transcript Property Map
    The conversation transcript.
    ttl String
    Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.
    turnCount Number
    The number of turns in the conversation.
    updateTime String
    The most recent time at which the conversation was updated.

    Supporting Types

    GoogleCloudContactcenterinsightsV1AnalysisResponse

    AnalysisResult Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnalysisResultResponse
    The result of the analysis, which is populated when the analysis finishes.
    AnnotatorSelector Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse
    To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
    CreateTime string
    The time at which the analysis was created, which occurs when the long-running operation completes.
    Name string
    Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
    RequestTime string
    The time at which the analysis was requested.
    AnalysisResult GoogleCloudContactcenterinsightsV1AnalysisResultResponse
    The result of the analysis, which is populated when the analysis finishes.
    AnnotatorSelector GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse
    To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
    CreateTime string
    The time at which the analysis was created, which occurs when the long-running operation completes.
    Name string
    Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
    RequestTime string
    The time at which the analysis was requested.
    analysisResult GoogleCloudContactcenterinsightsV1AnalysisResultResponse
    The result of the analysis, which is populated when the analysis finishes.
    annotatorSelector GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse
    To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
    createTime String
    The time at which the analysis was created, which occurs when the long-running operation completes.
    name String
    Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
    requestTime String
    The time at which the analysis was requested.
    analysisResult GoogleCloudContactcenterinsightsV1AnalysisResultResponse
    The result of the analysis, which is populated when the analysis finishes.
    annotatorSelector GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse
    To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
    createTime string
    The time at which the analysis was created, which occurs when the long-running operation completes.
    name string
    Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
    requestTime string
    The time at which the analysis was requested.
    analysis_result GoogleCloudContactcenterinsightsV1AnalysisResultResponse
    The result of the analysis, which is populated when the analysis finishes.
    annotator_selector GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse
    To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
    create_time str
    The time at which the analysis was created, which occurs when the long-running operation completes.
    name str
    Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
    request_time str
    The time at which the analysis was requested.
    analysisResult Property Map
    The result of the analysis, which is populated when the analysis finishes.
    annotatorSelector Property Map
    To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
    createTime String
    The time at which the analysis was created, which occurs when the long-running operation completes.
    name String
    Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
    requestTime String
    The time at which the analysis was requested.

    GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse

    Annotations List<Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1CallAnnotationResponse>
    A list of call annotations that apply to this call.
    Entities Dictionary<string, string>
    All the entities in the call.
    Intents Dictionary<string, string>
    All the matched intents in the call.
    IssueModelResult Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IssueModelResultResponse
    Overall conversation-level issue modeling result.
    PhraseMatchers Dictionary<string, string>
    All the matched phrase matchers in the call.
    Sentiments List<Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse>
    Overall conversation-level sentiment for each channel of the call.
    Annotations []GoogleCloudContactcenterinsightsV1CallAnnotationResponse
    A list of call annotations that apply to this call.
    Entities map[string]string
    All the entities in the call.
    Intents map[string]string
    All the matched intents in the call.
    IssueModelResult GoogleCloudContactcenterinsightsV1IssueModelResultResponse
    Overall conversation-level issue modeling result.
    PhraseMatchers map[string]string
    All the matched phrase matchers in the call.
    Sentiments []GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse
    Overall conversation-level sentiment for each channel of the call.
    annotations List<GoogleCloudContactcenterinsightsV1CallAnnotationResponse>
    A list of call annotations that apply to this call.
    entities Map<String,String>
    All the entities in the call.
    intents Map<String,String>
    All the matched intents in the call.
    issueModelResult GoogleCloudContactcenterinsightsV1IssueModelResultResponse
    Overall conversation-level issue modeling result.
    phraseMatchers Map<String,String>
    All the matched phrase matchers in the call.
    sentiments List<GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse>
    Overall conversation-level sentiment for each channel of the call.
    annotations GoogleCloudContactcenterinsightsV1CallAnnotationResponse[]
    A list of call annotations that apply to this call.
    entities {[key: string]: string}
    All the entities in the call.
    intents {[key: string]: string}
    All the matched intents in the call.
    issueModelResult GoogleCloudContactcenterinsightsV1IssueModelResultResponse
    Overall conversation-level issue modeling result.
    phraseMatchers {[key: string]: string}
    All the matched phrase matchers in the call.
    sentiments GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse[]
    Overall conversation-level sentiment for each channel of the call.
    annotations Sequence[GoogleCloudContactcenterinsightsV1CallAnnotationResponse]
    A list of call annotations that apply to this call.
    entities Mapping[str, str]
    All the entities in the call.
    intents Mapping[str, str]
    All the matched intents in the call.
    issue_model_result GoogleCloudContactcenterinsightsV1IssueModelResultResponse
    Overall conversation-level issue modeling result.
    phrase_matchers Mapping[str, str]
    All the matched phrase matchers in the call.
    sentiments Sequence[GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse]
    Overall conversation-level sentiment for each channel of the call.
    annotations List<Property Map>
    A list of call annotations that apply to this call.
    entities Map<String>
    All the entities in the call.
    intents Map<String>
    All the matched intents in the call.
    issueModelResult Property Map
    Overall conversation-level issue modeling result.
    phraseMatchers Map<String>
    All the matched phrase matchers in the call.
    sentiments List<Property Map>
    Overall conversation-level sentiment for each channel of the call.

    GoogleCloudContactcenterinsightsV1AnalysisResultResponse

    CallAnalysisMetadata GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse
    Call-specific metadata created by the analysis.
    EndTime string
    The time at which the analysis ended.
    callAnalysisMetadata GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse
    Call-specific metadata created by the analysis.
    endTime String
    The time at which the analysis ended.
    callAnalysisMetadata GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse
    Call-specific metadata created by the analysis.
    endTime string
    The time at which the analysis ended.
    call_analysis_metadata GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse
    Call-specific metadata created by the analysis.
    end_time str
    The time at which the analysis ended.
    callAnalysisMetadata Property Map
    Call-specific metadata created by the analysis.
    endTime String
    The time at which the analysis ended.

    GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse

    TranscriptIndex int
    The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
    WordIndex int
    The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
    TranscriptIndex int
    The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
    WordIndex int
    The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
    transcriptIndex Integer
    The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
    wordIndex Integer
    The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
    transcriptIndex number
    The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
    wordIndex number
    The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
    transcript_index int
    The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
    word_index int
    The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.
    transcriptIndex Number
    The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
    wordIndex Number
    The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.

    GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse

    IssueModels List<string>
    The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
    PhraseMatchers List<string>
    The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
    RunEntityAnnotator bool
    Whether to run the entity annotator.
    RunIntentAnnotator bool
    Whether to run the intent annotator.
    RunInterruptionAnnotator bool
    Whether to run the interruption annotator.
    RunIssueModelAnnotator bool
    Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
    RunPhraseMatcherAnnotator bool
    Whether to run the active phrase matcher annotator(s).
    RunSentimentAnnotator bool
    Whether to run the sentiment annotator.
    RunSilenceAnnotator bool
    Whether to run the silence annotator.
    RunSummarizationAnnotator bool
    Whether to run the summarization annotator.
    SummarizationConfig Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse
    Configuration for the summarization annotator.
    IssueModels []string
    The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
    PhraseMatchers []string
    The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
    RunEntityAnnotator bool
    Whether to run the entity annotator.
    RunIntentAnnotator bool
    Whether to run the intent annotator.
    RunInterruptionAnnotator bool
    Whether to run the interruption annotator.
    RunIssueModelAnnotator bool
    Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
    RunPhraseMatcherAnnotator bool
    Whether to run the active phrase matcher annotator(s).
    RunSentimentAnnotator bool
    Whether to run the sentiment annotator.
    RunSilenceAnnotator bool
    Whether to run the silence annotator.
    RunSummarizationAnnotator bool
    Whether to run the summarization annotator.
    SummarizationConfig GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse
    Configuration for the summarization annotator.
    issueModels List<String>
    The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
    phraseMatchers List<String>
    The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
    runEntityAnnotator Boolean
    Whether to run the entity annotator.
    runIntentAnnotator Boolean
    Whether to run the intent annotator.
    runInterruptionAnnotator Boolean
    Whether to run the interruption annotator.
    runIssueModelAnnotator Boolean
    Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
    runPhraseMatcherAnnotator Boolean
    Whether to run the active phrase matcher annotator(s).
    runSentimentAnnotator Boolean
    Whether to run the sentiment annotator.
    runSilenceAnnotator Boolean
    Whether to run the silence annotator.
    runSummarizationAnnotator Boolean
    Whether to run the summarization annotator.
    summarizationConfig GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse
    Configuration for the summarization annotator.
    issueModels string[]
    The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
    phraseMatchers string[]
    The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
    runEntityAnnotator boolean
    Whether to run the entity annotator.
    runIntentAnnotator boolean
    Whether to run the intent annotator.
    runInterruptionAnnotator boolean
    Whether to run the interruption annotator.
    runIssueModelAnnotator boolean
    Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
    runPhraseMatcherAnnotator boolean
    Whether to run the active phrase matcher annotator(s).
    runSentimentAnnotator boolean
    Whether to run the sentiment annotator.
    runSilenceAnnotator boolean
    Whether to run the silence annotator.
    runSummarizationAnnotator boolean
    Whether to run the summarization annotator.
    summarizationConfig GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse
    Configuration for the summarization annotator.
    issue_models Sequence[str]
    The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
    phrase_matchers Sequence[str]
    The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
    run_entity_annotator bool
    Whether to run the entity annotator.
    run_intent_annotator bool
    Whether to run the intent annotator.
    run_interruption_annotator bool
    Whether to run the interruption annotator.
    run_issue_model_annotator bool
    Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
    run_phrase_matcher_annotator bool
    Whether to run the active phrase matcher annotator(s).
    run_sentiment_annotator bool
    Whether to run the sentiment annotator.
    run_silence_annotator bool
    Whether to run the silence annotator.
    run_summarization_annotator bool
    Whether to run the summarization annotator.
    summarization_config GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse
    Configuration for the summarization annotator.
    issueModels List<String>
    The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
    phraseMatchers List<String>
    The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
    runEntityAnnotator Boolean
    Whether to run the entity annotator.
    runIntentAnnotator Boolean
    Whether to run the intent annotator.
    runInterruptionAnnotator Boolean
    Whether to run the interruption annotator.
    runIssueModelAnnotator Boolean
    Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
    runPhraseMatcherAnnotator Boolean
    Whether to run the active phrase matcher annotator(s).
    runSentimentAnnotator Boolean
    Whether to run the sentiment annotator.
    runSilenceAnnotator Boolean
    Whether to run the silence annotator.
    runSummarizationAnnotator Boolean
    Whether to run the summarization annotator.
    summarizationConfig Property Map
    Configuration for the summarization annotator.

    GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse

    ConversationProfile string
    Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}
    SummarizationModel string
    Default summarization model to be used.
    ConversationProfile string
    Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}
    SummarizationModel string
    Default summarization model to be used.
    conversationProfile String
    Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}
    summarizationModel String
    Default summarization model to be used.
    conversationProfile string
    Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}
    summarizationModel string
    Default summarization model to be used.
    conversation_profile str
    Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}
    summarization_model str
    Default summarization model to be used.
    conversationProfile String
    Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}
    summarizationModel String
    Default summarization model to be used.

    GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse

    Clicked bool
    Indicates whether an answer or item was clicked by the human agent.
    CorrectnessLevel string
    The correctness level of an answer.
    Displayed bool
    Indicates whether an answer or item was displayed to the human agent in the agent desktop UI.
    Clicked bool
    Indicates whether an answer or item was clicked by the human agent.
    CorrectnessLevel string
    The correctness level of an answer.
    Displayed bool
    Indicates whether an answer or item was displayed to the human agent in the agent desktop UI.
    clicked Boolean
    Indicates whether an answer or item was clicked by the human agent.
    correctnessLevel String
    The correctness level of an answer.
    displayed Boolean
    Indicates whether an answer or item was displayed to the human agent in the agent desktop UI.
    clicked boolean
    Indicates whether an answer or item was clicked by the human agent.
    correctnessLevel string
    The correctness level of an answer.
    displayed boolean
    Indicates whether an answer or item was displayed to the human agent in the agent desktop UI.
    clicked bool
    Indicates whether an answer or item was clicked by the human agent.
    correctness_level str
    The correctness level of an answer.
    displayed bool
    Indicates whether an answer or item was displayed to the human agent in the agent desktop UI.
    clicked Boolean
    Indicates whether an answer or item was clicked by the human agent.
    correctnessLevel String
    The correctness level of an answer.
    displayed Boolean
    Indicates whether an answer or item was displayed to the human agent in the agent desktop UI.

    GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse

    ConfidenceScore double
    The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    Metadata Dictionary<string, string>
    Map that contains metadata about the Article Suggestion and the document that it originates from.
    QueryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Source string
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
    Title string
    Article title.
    Uri string
    Article URI.
    ConfidenceScore float64
    The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    Metadata map[string]string
    Map that contains metadata about the Article Suggestion and the document that it originates from.
    QueryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Source string
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
    Title string
    Article title.
    Uri string
    Article URI.
    confidenceScore Double
    The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Map<String,String>
    Map that contains metadata about the Article Suggestion and the document that it originates from.
    queryRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    source String
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
    title String
    Article title.
    uri String
    Article URI.
    confidenceScore number
    The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata {[key: string]: string}
    Map that contains metadata about the Article Suggestion and the document that it originates from.
    queryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    source string
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
    title string
    Article title.
    uri string
    Article URI.
    confidence_score float
    The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Mapping[str, str]
    Map that contains metadata about the Article Suggestion and the document that it originates from.
    query_record str
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    source str
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
    title str
    Article title.
    uri str
    Article URI.
    confidenceScore Number
    The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Map<String>
    Map that contains metadata about the Article Suggestion and the document that it originates from.
    queryRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    source String
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
    title String
    Article title.
    uri String
    Article URI.

    GoogleCloudContactcenterinsightsV1CallAnnotationResponse

    AnnotationEndBoundary Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    AnnotationStartBoundary Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    ChannelTag int
    The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
    EntityMentionData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1EntityMentionDataResponse
    Data specifying an entity mention.
    HoldData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1HoldDataResponse
    Data specifying a hold.
    IntentMatchData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IntentMatchDataResponse
    Data specifying an intent match.
    InterruptionData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1InterruptionDataResponse
    Data specifying an interruption.
    IssueMatchData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IssueMatchDataResponse
    Data specifying an issue match.
    PhraseMatchData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse
    Data specifying a phrase match.
    SentimentData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    SilenceData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SilenceDataResponse
    Data specifying silence.
    AnnotationEndBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    AnnotationStartBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    ChannelTag int
    The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
    EntityMentionData GoogleCloudContactcenterinsightsV1EntityMentionDataResponse
    Data specifying an entity mention.
    HoldData GoogleCloudContactcenterinsightsV1HoldDataResponse
    Data specifying a hold.
    IntentMatchData GoogleCloudContactcenterinsightsV1IntentMatchDataResponse
    Data specifying an intent match.
    InterruptionData GoogleCloudContactcenterinsightsV1InterruptionDataResponse
    Data specifying an interruption.
    IssueMatchData GoogleCloudContactcenterinsightsV1IssueMatchDataResponse
    Data specifying an issue match.
    PhraseMatchData GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse
    Data specifying a phrase match.
    SentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    SilenceData GoogleCloudContactcenterinsightsV1SilenceDataResponse
    Data specifying silence.
    annotationEndBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    annotationStartBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    channelTag Integer
    The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
    entityMentionData GoogleCloudContactcenterinsightsV1EntityMentionDataResponse
    Data specifying an entity mention.
    holdData GoogleCloudContactcenterinsightsV1HoldDataResponse
    Data specifying a hold.
    intentMatchData GoogleCloudContactcenterinsightsV1IntentMatchDataResponse
    Data specifying an intent match.
    interruptionData GoogleCloudContactcenterinsightsV1InterruptionDataResponse
    Data specifying an interruption.
    issueMatchData GoogleCloudContactcenterinsightsV1IssueMatchDataResponse
    Data specifying an issue match.
    phraseMatchData GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse
    Data specifying a phrase match.
    sentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    silenceData GoogleCloudContactcenterinsightsV1SilenceDataResponse
    Data specifying silence.
    annotationEndBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    annotationStartBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    channelTag number
    The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
    entityMentionData GoogleCloudContactcenterinsightsV1EntityMentionDataResponse
    Data specifying an entity mention.
    holdData GoogleCloudContactcenterinsightsV1HoldDataResponse
    Data specifying a hold.
    intentMatchData GoogleCloudContactcenterinsightsV1IntentMatchDataResponse
    Data specifying an intent match.
    interruptionData GoogleCloudContactcenterinsightsV1InterruptionDataResponse
    Data specifying an interruption.
    issueMatchData GoogleCloudContactcenterinsightsV1IssueMatchDataResponse
    Data specifying an issue match.
    phraseMatchData GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse
    Data specifying a phrase match.
    sentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    silenceData GoogleCloudContactcenterinsightsV1SilenceDataResponse
    Data specifying silence.
    annotation_end_boundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    annotation_start_boundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    channel_tag int
    The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
    entity_mention_data GoogleCloudContactcenterinsightsV1EntityMentionDataResponse
    Data specifying an entity mention.
    hold_data GoogleCloudContactcenterinsightsV1HoldDataResponse
    Data specifying a hold.
    intent_match_data GoogleCloudContactcenterinsightsV1IntentMatchDataResponse
    Data specifying an intent match.
    interruption_data GoogleCloudContactcenterinsightsV1InterruptionDataResponse
    Data specifying an interruption.
    issue_match_data GoogleCloudContactcenterinsightsV1IssueMatchDataResponse
    Data specifying an issue match.
    phrase_match_data GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse
    Data specifying a phrase match.
    sentiment_data GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    silence_data GoogleCloudContactcenterinsightsV1SilenceDataResponse
    Data specifying silence.
    annotationEndBoundary Property Map
    The boundary in the conversation where the annotation ends, inclusive.
    annotationStartBoundary Property Map
    The boundary in the conversation where the annotation starts, inclusive.
    channelTag Number
    The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
    entityMentionData Property Map
    Data specifying an entity mention.
    holdData Property Map
    Data specifying a hold.
    intentMatchData Property Map
    Data specifying an intent match.
    interruptionData Property Map
    Data specifying an interruption.
    issueMatchData Property Map
    Data specifying an issue match.
    phraseMatchData Property Map
    Data specifying a phrase match.
    sentimentData Property Map
    Data specifying sentiment.
    silenceData Property Map
    Data specifying silence.

    GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse

    AgentChannel int
    The audio channel that contains the agent.
    CustomerChannel int
    The audio channel that contains the customer.
    AgentChannel int
    The audio channel that contains the agent.
    CustomerChannel int
    The audio channel that contains the customer.
    agentChannel Integer
    The audio channel that contains the agent.
    customerChannel Integer
    The audio channel that contains the customer.
    agentChannel number
    The audio channel that contains the agent.
    customerChannel number
    The audio channel that contains the customer.
    agent_channel int
    The audio channel that contains the agent.
    customer_channel int
    The audio channel that contains the customer.
    agentChannel Number
    The audio channel that contains the agent.
    customerChannel Number
    The audio channel that contains the customer.

    GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse

    DialogflowSource GoogleCloudContactcenterinsightsV1DialogflowSourceResponse
    The source when the conversation comes from Dialogflow.
    GcsSource GoogleCloudContactcenterinsightsV1GcsSourceResponse
    A Cloud Storage location specification for the audio and transcript.
    dialogflowSource GoogleCloudContactcenterinsightsV1DialogflowSourceResponse
    The source when the conversation comes from Dialogflow.
    gcsSource GoogleCloudContactcenterinsightsV1GcsSourceResponse
    A Cloud Storage location specification for the audio and transcript.
    dialogflowSource GoogleCloudContactcenterinsightsV1DialogflowSourceResponse
    The source when the conversation comes from Dialogflow.
    gcsSource GoogleCloudContactcenterinsightsV1GcsSourceResponse
    A Cloud Storage location specification for the audio and transcript.
    dialogflow_source GoogleCloudContactcenterinsightsV1DialogflowSourceResponse
    The source when the conversation comes from Dialogflow.
    gcs_source GoogleCloudContactcenterinsightsV1GcsSourceResponse
    A Cloud Storage location specification for the audio and transcript.
    dialogflowSource Property Map
    The source when the conversation comes from Dialogflow.
    gcsSource Property Map
    A Cloud Storage location specification for the audio and transcript.

    GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse

    ChannelTag int
    The channel of the audio that the data applies to.
    SentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    channelTag Integer
    The channel of the audio that the data applies to.
    sentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    channelTag number
    The channel of the audio that the data applies to.
    sentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    channel_tag int
    The channel of the audio that the data applies to.
    sentiment_data GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Data specifying sentiment.
    channelTag Number
    The channel of the audio that the data applies to.
    sentimentData Property Map
    Data specifying sentiment.

    GoogleCloudContactcenterinsightsV1ConversationParticipantResponse

    DialogflowParticipant string
    Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    Deprecated: Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    DialogflowParticipantName string
    The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}
    ObfuscatedExternalUserId string
    Obfuscated user ID from Dialogflow.
    Role string
    The role of the participant.
    UserId string
    A user-specified ID representing the participant.
    DialogflowParticipant string
    Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    Deprecated: Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    DialogflowParticipantName string
    The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}
    ObfuscatedExternalUserId string
    Obfuscated user ID from Dialogflow.
    Role string
    The role of the participant.
    UserId string
    A user-specified ID representing the participant.
    dialogflowParticipant String
    Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    Deprecated: Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    dialogflowParticipantName String
    The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}
    obfuscatedExternalUserId String
    Obfuscated user ID from Dialogflow.
    role String
    The role of the participant.
    userId String
    A user-specified ID representing the participant.
    dialogflowParticipant string
    Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    Deprecated: Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    dialogflowParticipantName string
    The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}
    obfuscatedExternalUserId string
    Obfuscated user ID from Dialogflow.
    role string
    The role of the participant.
    userId string
    A user-specified ID representing the participant.
    dialogflow_participant str
    Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    Deprecated: Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    dialogflow_participant_name str
    The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}
    obfuscated_external_user_id str
    Obfuscated user ID from Dialogflow.
    role str
    The role of the participant.
    user_id str
    A user-specified ID representing the participant.
    dialogflowParticipant String
    Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    Deprecated: Deprecated. Use dialogflow_participant_name instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

    dialogflowParticipantName String
    The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}
    obfuscatedExternalUserId String
    Obfuscated user ID from Dialogflow.
    role String
    The role of the participant.
    userId String
    A user-specified ID representing the participant.

    GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse

    AnswerRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Confidence double
    The confidence score of the summarization.
    ConversationModel string
    The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
    Metadata Dictionary<string, string>
    A map that contains metadata about the summarization and the document from which it originates.
    Text string
    The summarization content that is concatenated into one string.
    TextSections Dictionary<string, string>
    The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.
    AnswerRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Confidence float64
    The confidence score of the summarization.
    ConversationModel string
    The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
    Metadata map[string]string
    A map that contains metadata about the summarization and the document from which it originates.
    Text string
    The summarization content that is concatenated into one string.
    TextSections map[string]string
    The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.
    answerRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    confidence Double
    The confidence score of the summarization.
    conversationModel String
    The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
    metadata Map<String,String>
    A map that contains metadata about the summarization and the document from which it originates.
    text String
    The summarization content that is concatenated into one string.
    textSections Map<String,String>
    The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.
    answerRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    confidence number
    The confidence score of the summarization.
    conversationModel string
    The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
    metadata {[key: string]: string}
    A map that contains metadata about the summarization and the document from which it originates.
    text string
    The summarization content that is concatenated into one string.
    textSections {[key: string]: string}
    The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.
    answer_record str
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    confidence float
    The confidence score of the summarization.
    conversation_model str
    The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
    metadata Mapping[str, str]
    A map that contains metadata about the summarization and the document from which it originates.
    text str
    The summarization content that is concatenated into one string.
    text_sections Mapping[str, str]
    The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.
    answerRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    confidence Number
    The confidence score of the summarization.
    conversationModel String
    The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
    metadata Map<String>
    A map that contains metadata about the summarization and the document from which it originates.
    text String
    The summarization content that is concatenated into one string.
    textSections Map<String>
    The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.

    GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse

    TranscriptSegments []GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponse
    A list of sequential transcript segments that comprise the conversation.
    transcriptSegments List<GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponse>
    A list of sequential transcript segments that comprise the conversation.
    transcriptSegments GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponse[]
    A list of sequential transcript segments that comprise the conversation.
    transcriptSegments List<Property Map>
    A list of sequential transcript segments that comprise the conversation.

    GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponse

    SmartReplyAllowlistCovered bool
    Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist.
    SmartReplyAllowlistCovered bool
    Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist.
    smartReplyAllowlistCovered Boolean
    Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist.
    smartReplyAllowlistCovered boolean
    Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist.
    smart_reply_allowlist_covered bool
    Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist.
    smartReplyAllowlistCovered Boolean
    Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist.

    GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponse

    ChannelTag int
    For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono.
    Confidence double
    A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset.
    DialogflowSegmentMetadata Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponse
    CCAI metadata relating to the current transcript segment.
    LanguageCode string
    The language code of this segment as a BCP-47 language tag. Example: "en-US".
    MessageTime string
    The time that the message occurred, if provided.
    SegmentParticipant Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationParticipantResponse
    The participant of this segment.
    Sentiment Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SentimentDataResponse
    The sentiment for this transcript segment.
    Text string
    The text of this segment.
    Words List<Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponse>
    A list of the word-specific information for each word in the segment.
    ChannelTag int
    For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono.
    Confidence float64
    A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset.
    DialogflowSegmentMetadata GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponse
    CCAI metadata relating to the current transcript segment.
    LanguageCode string
    The language code of this segment as a BCP-47 language tag. Example: "en-US".
    MessageTime string
    The time that the message occurred, if provided.
    SegmentParticipant GoogleCloudContactcenterinsightsV1ConversationParticipantResponse
    The participant of this segment.
    Sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse
    The sentiment for this transcript segment.
    Text string
    The text of this segment.
    Words []GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponse
    A list of the word-specific information for each word in the segment.
    channelTag Integer
    For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono.
    confidence Double
    A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset.
    dialogflowSegmentMetadata GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponse
    CCAI metadata relating to the current transcript segment.
    languageCode String
    The language code of this segment as a BCP-47 language tag. Example: "en-US".
    messageTime String
    The time that the message occurred, if provided.
    segmentParticipant GoogleCloudContactcenterinsightsV1ConversationParticipantResponse
    The participant of this segment.
    sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse
    The sentiment for this transcript segment.
    text String
    The text of this segment.
    words List<GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponse>
    A list of the word-specific information for each word in the segment.
    channelTag number
    For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono.
    confidence number
    A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset.
    dialogflowSegmentMetadata GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponse
    CCAI metadata relating to the current transcript segment.
    languageCode string
    The language code of this segment as a BCP-47 language tag. Example: "en-US".
    messageTime string
    The time that the message occurred, if provided.
    segmentParticipant GoogleCloudContactcenterinsightsV1ConversationParticipantResponse
    The participant of this segment.
    sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse
    The sentiment for this transcript segment.
    text string
    The text of this segment.
    words GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponse[]
    A list of the word-specific information for each word in the segment.
    channel_tag int
    For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono.
    confidence float
    A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset.
    dialogflow_segment_metadata GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponse
    CCAI metadata relating to the current transcript segment.
    language_code str
    The language code of this segment as a BCP-47 language tag. Example: "en-US".
    message_time str
    The time that the message occurred, if provided.
    segment_participant GoogleCloudContactcenterinsightsV1ConversationParticipantResponse
    The participant of this segment.
    sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse
    The sentiment for this transcript segment.
    text str
    The text of this segment.
    words Sequence[GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponse]
    A list of the word-specific information for each word in the segment.
    channelTag Number
    For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono.
    confidence Number
    A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset.
    dialogflowSegmentMetadata Property Map
    CCAI metadata relating to the current transcript segment.
    languageCode String
    The language code of this segment as a BCP-47 language tag. Example: "en-US".
    messageTime String
    The time that the message occurred, if provided.
    segmentParticipant Property Map
    The participant of this segment.
    sentiment Property Map
    The sentiment for this transcript segment.
    text String
    The text of this segment.
    words List<Property Map>
    A list of the word-specific information for each word in the segment.

    GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponse

    Confidence double
    A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset.
    EndOffset string
    Time offset of the end of this word relative to the beginning of the total conversation.
    StartOffset string
    Time offset of the start of this word relative to the beginning of the total conversation.
    Word string
    The word itself. Includes punctuation marks that surround the word.
    Confidence float64
    A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset.
    EndOffset string
    Time offset of the end of this word relative to the beginning of the total conversation.
    StartOffset string
    Time offset of the start of this word relative to the beginning of the total conversation.
    Word string
    The word itself. Includes punctuation marks that surround the word.
    confidence Double
    A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset.
    endOffset String
    Time offset of the end of this word relative to the beginning of the total conversation.
    startOffset String
    Time offset of the start of this word relative to the beginning of the total conversation.
    word String
    The word itself. Includes punctuation marks that surround the word.
    confidence number
    A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset.
    endOffset string
    Time offset of the end of this word relative to the beginning of the total conversation.
    startOffset string
    Time offset of the start of this word relative to the beginning of the total conversation.
    word string
    The word itself. Includes punctuation marks that surround the word.
    confidence float
    A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset.
    end_offset str
    Time offset of the end of this word relative to the beginning of the total conversation.
    start_offset str
    Time offset of the start of this word relative to the beginning of the total conversation.
    word str
    The word itself. Includes punctuation marks that surround the word.
    confidence Number
    A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset.
    endOffset String
    Time offset of the end of this word relative to the beginning of the total conversation.
    startOffset String
    Time offset of the start of this word relative to the beginning of the total conversation.
    word String
    The word itself. Includes punctuation marks that surround the word.

    GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse

    Confidence double
    The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    DialogflowIntentId string
    The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}
    Confidence float64
    The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    DialogflowIntentId string
    The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}
    confidence Double
    The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    dialogflowIntentId String
    The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}
    confidence number
    The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    dialogflowIntentId string
    The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}
    confidence float
    The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    dialogflow_intent_id str
    The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}
    confidence Number
    The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    dialogflowIntentId String
    The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}

    GoogleCloudContactcenterinsightsV1DialogflowSourceResponse

    AudioUri string
    Cloud Storage URI that points to a file that contains the conversation audio.
    DialogflowConversation string
    The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}
    AudioUri string
    Cloud Storage URI that points to a file that contains the conversation audio.
    DialogflowConversation string
    The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}
    audioUri String
    Cloud Storage URI that points to a file that contains the conversation audio.
    dialogflowConversation String
    The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}
    audioUri string
    Cloud Storage URI that points to a file that contains the conversation audio.
    dialogflowConversation string
    The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}
    audio_uri str
    Cloud Storage URI that points to a file that contains the conversation audio.
    dialogflow_conversation str
    The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}
    audioUri String
    Cloud Storage URI that points to a file that contains the conversation audio.
    dialogflowConversation String
    The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}

    GoogleCloudContactcenterinsightsV1EntityMentionDataResponse

    EntityUniqueId string
    The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
    Sentiment Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Sentiment expressed for this mention of the entity.
    Type string
    The type of the entity mention.
    EntityUniqueId string
    The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
    Sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Sentiment expressed for this mention of the entity.
    Type string
    The type of the entity mention.
    entityUniqueId String
    The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
    sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Sentiment expressed for this mention of the entity.
    type String
    The type of the entity mention.
    entityUniqueId string
    The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
    sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Sentiment expressed for this mention of the entity.
    type string
    The type of the entity mention.
    entity_unique_id str
    The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
    sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse
    Sentiment expressed for this mention of the entity.
    type str
    The type of the entity mention.
    entityUniqueId String
    The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
    sentiment Property Map
    Sentiment expressed for this mention of the entity.
    type String
    The type of the entity mention.

    GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse

    Answer string
    The piece of text from the source knowledge base document.
    ConfidenceScore double
    The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    Metadata Dictionary<string, string>
    Map that contains metadata about the FAQ answer and the document that it originates from.
    QueryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Question string
    The corresponding FAQ question.
    Source string
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.
    Answer string
    The piece of text from the source knowledge base document.
    ConfidenceScore float64
    The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    Metadata map[string]string
    Map that contains metadata about the FAQ answer and the document that it originates from.
    QueryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Question string
    The corresponding FAQ question.
    Source string
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.
    answer String
    The piece of text from the source knowledge base document.
    confidenceScore Double
    The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Map<String,String>
    Map that contains metadata about the FAQ answer and the document that it originates from.
    queryRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    question String
    The corresponding FAQ question.
    source String
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.
    answer string
    The piece of text from the source knowledge base document.
    confidenceScore number
    The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata {[key: string]: string}
    Map that contains metadata about the FAQ answer and the document that it originates from.
    queryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    question string
    The corresponding FAQ question.
    source string
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.
    answer str
    The piece of text from the source knowledge base document.
    confidence_score float
    The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Mapping[str, str]
    Map that contains metadata about the FAQ answer and the document that it originates from.
    query_record str
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    question str
    The corresponding FAQ question.
    source str
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.
    answer String
    The piece of text from the source knowledge base document.
    confidenceScore Number
    The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Map<String>
    Map that contains metadata about the FAQ answer and the document that it originates from.
    queryRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    question String
    The corresponding FAQ question.
    source String
    The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.

    GoogleCloudContactcenterinsightsV1GcsSourceResponse

    AudioUri string
    Cloud Storage URI that points to a file that contains the conversation audio.
    TranscriptUri string
    Immutable. Cloud Storage URI that points to a file that contains the conversation transcript.
    AudioUri string
    Cloud Storage URI that points to a file that contains the conversation audio.
    TranscriptUri string
    Immutable. Cloud Storage URI that points to a file that contains the conversation transcript.
    audioUri String
    Cloud Storage URI that points to a file that contains the conversation audio.
    transcriptUri String
    Immutable. Cloud Storage URI that points to a file that contains the conversation transcript.
    audioUri string
    Cloud Storage URI that points to a file that contains the conversation audio.
    transcriptUri string
    Immutable. Cloud Storage URI that points to a file that contains the conversation transcript.
    audio_uri str
    Cloud Storage URI that points to a file that contains the conversation audio.
    transcript_uri str
    Immutable. Cloud Storage URI that points to a file that contains the conversation transcript.
    audioUri String
    Cloud Storage URI that points to a file that contains the conversation audio.
    transcriptUri String
    Immutable. Cloud Storage URI that points to a file that contains the conversation transcript.

    GoogleCloudContactcenterinsightsV1IntentMatchDataResponse

    IntentUniqueId string
    The id of the matched intent. Can be used to retrieve the corresponding intent information.
    IntentUniqueId string
    The id of the matched intent. Can be used to retrieve the corresponding intent information.
    intentUniqueId String
    The id of the matched intent. Can be used to retrieve the corresponding intent information.
    intentUniqueId string
    The id of the matched intent. Can be used to retrieve the corresponding intent information.
    intent_unique_id str
    The id of the matched intent. Can be used to retrieve the corresponding intent information.
    intentUniqueId String
    The id of the matched intent. Can be used to retrieve the corresponding intent information.

    GoogleCloudContactcenterinsightsV1IssueAssignmentResponse

    DisplayName string
    Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
    Issue string
    Resource name of the assigned issue.
    Score double
    Score indicating the likelihood of the issue assignment. currently bounded on [0,1].
    DisplayName string
    Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
    Issue string
    Resource name of the assigned issue.
    Score float64
    Score indicating the likelihood of the issue assignment. currently bounded on [0,1].
    displayName String
    Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
    issue String
    Resource name of the assigned issue.
    score Double
    Score indicating the likelihood of the issue assignment. currently bounded on [0,1].
    displayName string
    Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
    issue string
    Resource name of the assigned issue.
    score number
    Score indicating the likelihood of the issue assignment. currently bounded on [0,1].
    display_name str
    Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
    issue str
    Resource name of the assigned issue.
    score float
    Score indicating the likelihood of the issue assignment. currently bounded on [0,1].
    displayName String
    Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
    issue String
    Resource name of the assigned issue.
    score Number
    Score indicating the likelihood of the issue assignment. currently bounded on [0,1].

    GoogleCloudContactcenterinsightsV1IssueMatchDataResponse

    issueAssignment Property Map
    Information about the issue's assignment.

    GoogleCloudContactcenterinsightsV1IssueModelResultResponse

    IssueModel string
    Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
    Issues List<Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IssueAssignmentResponse>
    All the matched issues.
    IssueModel string
    Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
    Issues []GoogleCloudContactcenterinsightsV1IssueAssignmentResponse
    All the matched issues.
    issueModel String
    Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
    issues List<GoogleCloudContactcenterinsightsV1IssueAssignmentResponse>
    All the matched issues.
    issueModel string
    Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
    issues GoogleCloudContactcenterinsightsV1IssueAssignmentResponse[]
    All the matched issues.
    issue_model str
    Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
    issues Sequence[GoogleCloudContactcenterinsightsV1IssueAssignmentResponse]
    All the matched issues.
    issueModel String
    Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
    issues List<Property Map>
    All the matched issues.

    GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse

    DisplayName string
    The human-readable name of the phrase matcher.
    PhraseMatcher string
    The unique identifier (the resource name) of the phrase matcher.
    DisplayName string
    The human-readable name of the phrase matcher.
    PhraseMatcher string
    The unique identifier (the resource name) of the phrase matcher.
    displayName String
    The human-readable name of the phrase matcher.
    phraseMatcher String
    The unique identifier (the resource name) of the phrase matcher.
    displayName string
    The human-readable name of the phrase matcher.
    phraseMatcher string
    The unique identifier (the resource name) of the phrase matcher.
    display_name str
    The human-readable name of the phrase matcher.
    phrase_matcher str
    The unique identifier (the resource name) of the phrase matcher.
    displayName String
    The human-readable name of the phrase matcher.
    phraseMatcher String
    The unique identifier (the resource name) of the phrase matcher.

    GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse

    AnnotationId string
    The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
    AnswerFeedback Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse
    The feedback that the customer has about the answer in data.
    ArticleSuggestion Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse
    Agent Assist Article Suggestion data.
    ConversationSummarizationSuggestion Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Conversation summarization suggestion data.
    CreateTime string
    The time at which this annotation was created.
    DialogflowInteraction Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse
    Dialogflow interaction data.
    EndBoundary Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    FaqAnswer Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse
    Agent Assist FAQ answer data.
    SmartComposeSuggestion Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse
    Agent Assist Smart Compose suggestion data.
    SmartReply Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SmartReplyDataResponse
    Agent Assist Smart Reply data.
    StartBoundary Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    AnnotationId string
    The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
    AnswerFeedback GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse
    The feedback that the customer has about the answer in data.
    ArticleSuggestion GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse
    Agent Assist Article Suggestion data.
    ConversationSummarizationSuggestion GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Conversation summarization suggestion data.
    CreateTime string
    The time at which this annotation was created.
    DialogflowInteraction GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse
    Dialogflow interaction data.
    EndBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    FaqAnswer GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse
    Agent Assist FAQ answer data.
    SmartComposeSuggestion GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse
    Agent Assist Smart Compose suggestion data.
    SmartReply GoogleCloudContactcenterinsightsV1SmartReplyDataResponse
    Agent Assist Smart Reply data.
    StartBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    annotationId String
    The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
    answerFeedback GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse
    The feedback that the customer has about the answer in data.
    articleSuggestion GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse
    Agent Assist Article Suggestion data.
    conversationSummarizationSuggestion GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Conversation summarization suggestion data.
    createTime String
    The time at which this annotation was created.
    dialogflowInteraction GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse
    Dialogflow interaction data.
    endBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    faqAnswer GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse
    Agent Assist FAQ answer data.
    smartComposeSuggestion GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse
    Agent Assist Smart Compose suggestion data.
    smartReply GoogleCloudContactcenterinsightsV1SmartReplyDataResponse
    Agent Assist Smart Reply data.
    startBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    annotationId string
    The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
    answerFeedback GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse
    The feedback that the customer has about the answer in data.
    articleSuggestion GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse
    Agent Assist Article Suggestion data.
    conversationSummarizationSuggestion GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Conversation summarization suggestion data.
    createTime string
    The time at which this annotation was created.
    dialogflowInteraction GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse
    Dialogflow interaction data.
    endBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    faqAnswer GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse
    Agent Assist FAQ answer data.
    smartComposeSuggestion GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse
    Agent Assist Smart Compose suggestion data.
    smartReply GoogleCloudContactcenterinsightsV1SmartReplyDataResponse
    Agent Assist Smart Reply data.
    startBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    annotation_id str
    The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
    answer_feedback GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse
    The feedback that the customer has about the answer in data.
    article_suggestion GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse
    Agent Assist Article Suggestion data.
    conversation_summarization_suggestion GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse
    Conversation summarization suggestion data.
    create_time str
    The time at which this annotation was created.
    dialogflow_interaction GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse
    Dialogflow interaction data.
    end_boundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation ends, inclusive.
    faq_answer GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse
    Agent Assist FAQ answer data.
    smart_compose_suggestion GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse
    Agent Assist Smart Compose suggestion data.
    smart_reply GoogleCloudContactcenterinsightsV1SmartReplyDataResponse
    Agent Assist Smart Reply data.
    start_boundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse
    The boundary in the conversation where the annotation starts, inclusive.
    annotationId String
    The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
    answerFeedback Property Map
    The feedback that the customer has about the answer in data.
    articleSuggestion Property Map
    Agent Assist Article Suggestion data.
    conversationSummarizationSuggestion Property Map
    Conversation summarization suggestion data.
    createTime String
    The time at which this annotation was created.
    dialogflowInteraction Property Map
    Dialogflow interaction data.
    endBoundary Property Map
    The boundary in the conversation where the annotation ends, inclusive.
    faqAnswer Property Map
    Agent Assist FAQ answer data.
    smartComposeSuggestion Property Map
    Agent Assist Smart Compose suggestion data.
    smartReply Property Map
    Agent Assist Smart Reply data.
    startBoundary Property Map
    The boundary in the conversation where the annotation starts, inclusive.

    GoogleCloudContactcenterinsightsV1SentimentDataResponse

    Magnitude double
    A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
    Score double
    The sentiment score between -1.0 (negative) and 1.0 (positive).
    Magnitude float64
    A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
    Score float64
    The sentiment score between -1.0 (negative) and 1.0 (positive).
    magnitude Double
    A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
    score Double
    The sentiment score between -1.0 (negative) and 1.0 (positive).
    magnitude number
    A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
    score number
    The sentiment score between -1.0 (negative) and 1.0 (positive).
    magnitude float
    A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
    score float
    The sentiment score between -1.0 (negative) and 1.0 (positive).
    magnitude Number
    A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
    score Number
    The sentiment score between -1.0 (negative) and 1.0 (positive).

    GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse

    ConfidenceScore double
    The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    Metadata Dictionary<string, string>
    Map that contains metadata about the Smart Compose suggestion and the document from which it originates.
    QueryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Suggestion string
    The content of the suggestion.
    ConfidenceScore float64
    The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    Metadata map[string]string
    Map that contains metadata about the Smart Compose suggestion and the document from which it originates.
    QueryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Suggestion string
    The content of the suggestion.
    confidenceScore Double
    The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Map<String,String>
    Map that contains metadata about the Smart Compose suggestion and the document from which it originates.
    queryRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    suggestion String
    The content of the suggestion.
    confidenceScore number
    The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata {[key: string]: string}
    Map that contains metadata about the Smart Compose suggestion and the document from which it originates.
    queryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    suggestion string
    The content of the suggestion.
    confidence_score float
    The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Mapping[str, str]
    Map that contains metadata about the Smart Compose suggestion and the document from which it originates.
    query_record str
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    suggestion str
    The content of the suggestion.
    confidenceScore Number
    The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Map<String>
    Map that contains metadata about the Smart Compose suggestion and the document from which it originates.
    queryRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    suggestion String
    The content of the suggestion.

    GoogleCloudContactcenterinsightsV1SmartReplyDataResponse

    ConfidenceScore double
    The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    Metadata Dictionary<string, string>
    Map that contains metadata about the Smart Reply and the document from which it originates.
    QueryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Reply string
    The content of the reply.
    ConfidenceScore float64
    The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    Metadata map[string]string
    Map that contains metadata about the Smart Reply and the document from which it originates.
    QueryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    Reply string
    The content of the reply.
    confidenceScore Double
    The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Map<String,String>
    Map that contains metadata about the Smart Reply and the document from which it originates.
    queryRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    reply String
    The content of the reply.
    confidenceScore number
    The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata {[key: string]: string}
    Map that contains metadata about the Smart Reply and the document from which it originates.
    queryRecord string
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    reply string
    The content of the reply.
    confidence_score float
    The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Mapping[str, str]
    Map that contains metadata about the Smart Reply and the document from which it originates.
    query_record str
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    reply str
    The content of the reply.
    confidenceScore Number
    The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).
    metadata Map<String>
    Map that contains metadata about the Smart Reply and the document from which it originates.
    queryRecord String
    The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
    reply String
    The content of the reply.

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native