Google Cloud Native v0.28.0, Feb 2 23

google-native.contactcenterinsights/v1.getConversation

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

conversation_id str
location str
project str
view str

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.
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.
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.
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.
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.
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.
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 Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.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.

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.

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.

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.

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.

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.

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.

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 Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1DialogflowSourceResponse: The source when the conversation comes from Dialogflow.
GcsSource Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.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.

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 Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.

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.

GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse

TranscriptSegments List<Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.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<GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponse>: A list of sequential transcript segments that comprise the conversation.

transcriptSegments GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponse[]: A list of sequential transcript segments that comprise the conversation.

transcript_segments Sequence[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 Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

IssueAssignment GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

issueAssignment GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

issueAssignment GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

issue_assignment GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

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.
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.
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.
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.
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.
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.
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.contactcenterinsights/v1.getConversation

Using getConversation

getConversation Result

Supporting Types

GoogleCloudContactcenterinsightsV1AnalysisResponse

GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse

GoogleCloudContactcenterinsightsV1AnalysisResultResponse

GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse

GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse

GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse

GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse

GoogleCloudContactcenterinsightsV1CallAnnotationResponse

GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse

GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse

GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse

GoogleCloudContactcenterinsightsV1ConversationParticipantResponse

GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse

GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponse

GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponse

GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponse

GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse

GoogleCloudContactcenterinsightsV1DialogflowSourceResponse

GoogleCloudContactcenterinsightsV1EntityMentionDataResponse

GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse

GoogleCloudContactcenterinsightsV1GcsSourceResponse

GoogleCloudContactcenterinsightsV1IntentMatchDataResponse

GoogleCloudContactcenterinsightsV1IssueAssignmentResponse

GoogleCloudContactcenterinsightsV1IssueMatchDataResponse

GoogleCloudContactcenterinsightsV1IssueModelResultResponse

GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse

GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse

GoogleCloudContactcenterinsightsV1SentimentDataResponse

GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse

GoogleCloudContactcenterinsightsV1SmartReplyDataResponse

Package Details

Contents