Google Cloud Native v0.31.1, Jul 20 23

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

Google Cloud Native v0.31.1 published on Thursday, Jul 20, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.contactcenterinsights/v1.Conversation

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

Google Cloud Native v0.31.1 published on Thursday, Jul 20, 2023 by Pulumi

pulumi/pulumi-google-native

Create Conversation Resource

new Conversation(name: string, args?: ConversationArgs, opts?: CustomResourceOptions);

@overload
def Conversation(resource_name: str,
                 opts: Optional[ResourceOptions] = None,
                 agent_id: Optional[str] = None,
                 call_metadata: Optional[GoogleCloudContactcenterinsightsV1ConversationCallMetadataArgs] = None,
                 conversation_id: Optional[str] = None,
                 data_source: Optional[GoogleCloudContactcenterinsightsV1ConversationDataSourceArgs] = None,
                 expire_time: Optional[str] = None,
                 labels: Optional[Mapping[str, str]] = None,
                 language_code: Optional[str] = None,
                 location: Optional[str] = None,
                 medium: Optional[ConversationMedium] = None,
                 name: Optional[str] = None,
                 obfuscated_user_id: Optional[str] = None,
                 project: Optional[str] = None,
                 start_time: Optional[str] = None,
                 ttl: Optional[str] = None)
@overload
def Conversation(resource_name: str,
                 args: Optional[ConversationArgs] = None,
                 opts: Optional[ResourceOptions] = None)

func NewConversation(ctx *Context, name string, args *ConversationArgs, opts ...ResourceOption) (*Conversation, error)

public Conversation(string name, ConversationArgs? args = null, CustomResourceOptions? opts = null)

public Conversation(String name, ConversationArgs args)
public Conversation(String name, ConversationArgs args, CustomResourceOptions options)

type: google-native:contactcenterinsights/v1:Conversation
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ConversationArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args ConversationArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args ConversationArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ConversationArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args ConversationArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

Conversation Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The Conversation resource accepts the following input properties:

AgentId string: An opaque, user-specified string representing the human agent who handled the conversation.
CallMetadata Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationCallMetadata: Call-specific metadata.
ConversationId string: A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression ^[a-z0-9-]{4,64}$. Valid characters are a-z-
DataSource Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationDataSource: The source of the audio and transcription for 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.
Location string
Medium Pulumi.GoogleNative.Contactcenterinsights.V1.ConversationMedium: 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.
Project string
StartTime string: The time at which the conversation started.
Ttl string: Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.

AgentId string: An opaque, user-specified string representing the human agent who handled the conversation.
CallMetadata GoogleCloudContactcenterinsightsV1ConversationCallMetadataArgs: Call-specific metadata.
ConversationId string: A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression ^[a-z0-9-]{4,64}$. Valid characters are a-z-
DataSource GoogleCloudContactcenterinsightsV1ConversationDataSourceArgs: The source of the audio and transcription for 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.
Location string
Medium ConversationMedium: 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.
Project string
StartTime string: The time at which the conversation started.
Ttl string: Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.

agentId String: An opaque, user-specified string representing the human agent who handled the conversation.
callMetadata GoogleCloudContactcenterinsightsV1ConversationCallMetadata: Call-specific metadata.
conversationId String: A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression ^[a-z0-9-]{4,64}$. Valid characters are a-z-
dataSource GoogleCloudContactcenterinsightsV1ConversationDataSource: The source of the audio and transcription for 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.
location String
medium ConversationMedium: 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.
project String
startTime String: The time at which the conversation started.
ttl String: Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.

agentId string: An opaque, user-specified string representing the human agent who handled the conversation.
callMetadata GoogleCloudContactcenterinsightsV1ConversationCallMetadata: Call-specific metadata.
conversationId string: A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression ^[a-z0-9-]{4,64}$. Valid characters are a-z-
dataSource GoogleCloudContactcenterinsightsV1ConversationDataSource: The source of the audio and transcription for 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.
location string
medium ConversationMedium: 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.
project string
startTime string: The time at which the conversation started.
ttl string: Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.

agent_id str: An opaque, user-specified string representing the human agent who handled the conversation.
call_metadata GoogleCloudContactcenterinsightsV1ConversationCallMetadataArgs: Call-specific metadata.
conversation_id str: A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression ^[a-z0-9-]{4,64}$. Valid characters are a-z-
data_source GoogleCloudContactcenterinsightsV1ConversationDataSourceArgs: The source of the audio and transcription for 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.
location str
medium ConversationMedium: 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.
project str
start_time str: The time at which the conversation started.
ttl str: Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.

agentId String: An opaque, user-specified string representing the human agent who handled the conversation.
callMetadata Property Map: Call-specific metadata.
conversationId String: A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression ^[a-z0-9-]{4,64}$. Valid characters are a-z-
dataSource Property Map: The source of the audio and transcription for 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.
location String
medium "MEDIUM_UNSPECIFIED" | "PHONE_CALL" | "CHAT": 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.
project String
startTime String: The time at which the conversation started.
ttl String: Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.

Outputs

All input properties are implicitly available as output properties. Additionally, the Conversation resource produces the following output properties:

CreateTime string: The time at which the conversation was created.
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.
Id string: The provider-assigned unique ID for this managed resource.
LatestAnalysis Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1AnalysisResponse: The conversation's latest analysis, if one exists.
LatestSummary Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Latest summary of the conversation.
RuntimeAnnotations List<Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse>: The annotations that were generated during the customer and agent interaction.
Transcript Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse: The conversation transcript.
TurnCount int: The number of turns in the conversation.
UpdateTime string: The most recent time at which the conversation was updated.

CreateTime string: The time at which the conversation was created.
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.
Id string: The provider-assigned unique ID for this managed resource.
LatestAnalysis GoogleCloudContactcenterinsightsV1AnalysisResponse: The conversation's latest analysis, if one exists.
LatestSummary GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Latest summary of the conversation.
RuntimeAnnotations []GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse: The annotations that were generated during the customer and agent interaction.
Transcript GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse: The conversation transcript.
TurnCount int: The number of turns in the conversation.
UpdateTime string: The most recent time at which the conversation was updated.

createTime String: The time at which the conversation was created.
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.
id String: The provider-assigned unique ID for this managed resource.
latestAnalysis GoogleCloudContactcenterinsightsV1AnalysisResponse: The conversation's latest analysis, if one exists.
latestSummary GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Latest summary of the conversation.
runtimeAnnotations List<GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse>: The annotations that were generated during the customer and agent interaction.
transcript GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse: The conversation transcript.
turnCount Integer: The number of turns in the conversation.
updateTime String: The most recent time at which the conversation was updated.

createTime string: The time at which the conversation was created.
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.
id string: The provider-assigned unique ID for this managed resource.
latestAnalysis GoogleCloudContactcenterinsightsV1AnalysisResponse: The conversation's latest analysis, if one exists.
latestSummary GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Latest summary of the conversation.
runtimeAnnotations GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse[]: The annotations that were generated during the customer and agent interaction.
transcript GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse: The conversation transcript.
turnCount number: The number of turns in the conversation.
updateTime string: The most recent time at which the conversation was updated.

create_time str: The time at which the conversation was created.
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.
id str: The provider-assigned unique ID for this managed resource.
latest_analysis GoogleCloudContactcenterinsightsV1AnalysisResponse: The conversation's latest analysis, if one exists.
latest_summary GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Latest summary of the conversation.
runtime_annotations Sequence[GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse]: The annotations that were generated during the customer and agent interaction.
transcript GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse: The conversation transcript.
turn_count int: The number of turns in the conversation.
update_time str: The most recent time at which the conversation was updated.

createTime String: The time at which the conversation was created.
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.
id String: The provider-assigned unique ID for this managed resource.
latestAnalysis Property Map: The conversation's latest analysis, if one exists.
latestSummary Property Map: Latest summary of the conversation.
runtimeAnnotations List<Property Map>: The annotations that were generated during the customer and agent interaction.
transcript Property Map: The conversation transcript.
turnCount Number: The number of turns in the conversation.
updateTime String: The most recent time at which the conversation was updated.

Supporting Types

ConversationMedium, ConversationMediumArgs

MediumUnspecified: MEDIUM_UNSPECIFIED
Default value, if unspecified will default to PHONE_CALL.
PhoneCall: PHONE_CALL
The format for conversations that took place over the phone.
Chat: CHAT
The format for conversations that took place over chat.

ConversationMediumMediumUnspecified: MEDIUM_UNSPECIFIED
Default value, if unspecified will default to PHONE_CALL.
ConversationMediumPhoneCall: PHONE_CALL
The format for conversations that took place over the phone.
ConversationMediumChat: CHAT
The format for conversations that took place over chat.

MediumUnspecified: MEDIUM_UNSPECIFIED
Default value, if unspecified will default to PHONE_CALL.
PhoneCall: PHONE_CALL
The format for conversations that took place over the phone.
Chat: CHAT
The format for conversations that took place over chat.

MediumUnspecified: MEDIUM_UNSPECIFIED
Default value, if unspecified will default to PHONE_CALL.
PhoneCall: PHONE_CALL
The format for conversations that took place over the phone.
Chat: CHAT
The format for conversations that took place over chat.

MEDIUM_UNSPECIFIED: MEDIUM_UNSPECIFIED
Default value, if unspecified will default to PHONE_CALL.
PHONE_CALL: PHONE_CALL
The format for conversations that took place over the phone.
CHAT: CHAT
The format for conversations that took place over chat.

"MEDIUM_UNSPECIFIED": MEDIUM_UNSPECIFIED
Default value, if unspecified will default to PHONE_CALL.
"PHONE_CALL": PHONE_CALL
The format for conversations that took place over the phone.
"CHAT": CHAT
The format for conversations that took place over chat.

GoogleCloudContactcenterinsightsV1AnalysisResponse, GoogleCloudContactcenterinsightsV1AnalysisResponseArgs

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, GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponseArgs

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, GoogleCloudContactcenterinsightsV1AnalysisResultResponseArgs

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, GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponseArgs

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, GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponseArgs

IssueModels List<string>: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
PhraseMatchers List<string>: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
RunEntityAnnotator bool: Whether to run the entity annotator.
RunIntentAnnotator bool: Whether to run the intent annotator.
RunInterruptionAnnotator bool: Whether to run the interruption annotator.
RunIssueModelAnnotator bool: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
RunPhraseMatcherAnnotator bool: Whether to run the active phrase matcher annotator(s).
RunSentimentAnnotator bool: Whether to run the sentiment annotator.
RunSilenceAnnotator bool: Whether to run the silence annotator.
RunSummarizationAnnotator bool: Whether to run the summarization annotator.
SummarizationConfig Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse: Configuration for the summarization annotator.

IssueModels []string: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
PhraseMatchers []string: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
RunEntityAnnotator bool: Whether to run the entity annotator.
RunIntentAnnotator bool: Whether to run the intent annotator.
RunInterruptionAnnotator bool: Whether to run the interruption annotator.
RunIssueModelAnnotator bool: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
RunPhraseMatcherAnnotator bool: Whether to run the active phrase matcher annotator(s).
RunSentimentAnnotator bool: Whether to run the sentiment annotator.
RunSilenceAnnotator bool: Whether to run the silence annotator.
RunSummarizationAnnotator bool: Whether to run the summarization annotator.
SummarizationConfig GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse: Configuration for the summarization annotator.

issueModels List<String>: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
phraseMatchers List<String>: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
runEntityAnnotator Boolean: Whether to run the entity annotator.
runIntentAnnotator Boolean: Whether to run the intent annotator.
runInterruptionAnnotator Boolean: Whether to run the interruption annotator.
runIssueModelAnnotator Boolean: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
runPhraseMatcherAnnotator Boolean: Whether to run the active phrase matcher annotator(s).
runSentimentAnnotator Boolean: Whether to run the sentiment annotator.
runSilenceAnnotator Boolean: Whether to run the silence annotator.
runSummarizationAnnotator Boolean: Whether to run the summarization annotator.
summarizationConfig GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse: Configuration for the summarization annotator.

issueModels string[]: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
phraseMatchers string[]: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
runEntityAnnotator boolean: Whether to run the entity annotator.
runIntentAnnotator boolean: Whether to run the intent annotator.
runInterruptionAnnotator boolean: Whether to run the interruption annotator.
runIssueModelAnnotator boolean: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
runPhraseMatcherAnnotator boolean: Whether to run the active phrase matcher annotator(s).
runSentimentAnnotator boolean: Whether to run the sentiment annotator.
runSilenceAnnotator boolean: Whether to run the silence annotator.
runSummarizationAnnotator boolean: Whether to run the summarization annotator.
summarizationConfig GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse: Configuration for the summarization annotator.

issue_models Sequence[str]: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
phrase_matchers Sequence[str]: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
run_entity_annotator bool: Whether to run the entity annotator.
run_intent_annotator bool: Whether to run the intent annotator.
run_interruption_annotator bool: Whether to run the interruption annotator.
run_issue_model_annotator bool: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
run_phrase_matcher_annotator bool: Whether to run the active phrase matcher annotator(s).
run_sentiment_annotator bool: Whether to run the sentiment annotator.
run_silence_annotator bool: Whether to run the silence annotator.
run_summarization_annotator bool: Whether to run the summarization annotator.
summarization_config GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse: Configuration for the summarization annotator.

issueModels List<String>: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
phraseMatchers List<String>: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
runEntityAnnotator Boolean: Whether to run the entity annotator.
runIntentAnnotator Boolean: Whether to run the intent annotator.
runInterruptionAnnotator Boolean: Whether to run the interruption annotator.
runIssueModelAnnotator Boolean: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
runPhraseMatcherAnnotator Boolean: Whether to run the active phrase matcher annotator(s).
runSentimentAnnotator Boolean: Whether to run the sentiment annotator.
runSilenceAnnotator Boolean: Whether to run the silence annotator.
runSummarizationAnnotator Boolean: Whether to run the summarization annotator.
summarizationConfig Property Map: Configuration for the summarization annotator.

GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse, GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponseArgs

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

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

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

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

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

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

GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse, GoogleCloudContactcenterinsightsV1AnswerFeedbackResponseArgs

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, GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponseArgs

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, GoogleCloudContactcenterinsightsV1CallAnnotationResponseArgs

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.

GoogleCloudContactcenterinsightsV1ConversationCallMetadata, GoogleCloudContactcenterinsightsV1ConversationCallMetadataArgs

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.

GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse, GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponseArgs

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.

GoogleCloudContactcenterinsightsV1ConversationDataSource, GoogleCloudContactcenterinsightsV1ConversationDataSourceArgs

DialogflowSource Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1DialogflowSource: The source when the conversation comes from Dialogflow.
GcsSource Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1GcsSource: A Cloud Storage location specification for the audio and transcript.

DialogflowSource GoogleCloudContactcenterinsightsV1DialogflowSource: The source when the conversation comes from Dialogflow.
GcsSource GoogleCloudContactcenterinsightsV1GcsSource: A Cloud Storage location specification for the audio and transcript.

dialogflowSource GoogleCloudContactcenterinsightsV1DialogflowSource: The source when the conversation comes from Dialogflow.
gcsSource GoogleCloudContactcenterinsightsV1GcsSource: A Cloud Storage location specification for the audio and transcript.

dialogflowSource GoogleCloudContactcenterinsightsV1DialogflowSource: The source when the conversation comes from Dialogflow.
gcsSource GoogleCloudContactcenterinsightsV1GcsSource: A Cloud Storage location specification for the audio and transcript.

dialogflow_source GoogleCloudContactcenterinsightsV1DialogflowSource: The source when the conversation comes from Dialogflow.
gcs_source GoogleCloudContactcenterinsightsV1GcsSource: 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.

GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse, GoogleCloudContactcenterinsightsV1ConversationDataSourceResponseArgs

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, GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponseArgs

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, GoogleCloudContactcenterinsightsV1ConversationParticipantResponseArgs

DialogflowParticipant string

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

Deprecated:

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

DialogflowParticipantName string

The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

ObfuscatedExternalUserId string

Obfuscated user ID from Dialogflow.

Role string

The role of the participant.

UserId string

A user-specified ID representing the participant.

DialogflowParticipant string

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

Deprecated:

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

DialogflowParticipantName string

The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

ObfuscatedExternalUserId string

Obfuscated user ID from Dialogflow.

Role string

The role of the participant.

UserId string

A user-specified ID representing the participant.

dialogflowParticipant String

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

Deprecated:

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

dialogflowParticipantName String

The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

obfuscatedExternalUserId String

Obfuscated user ID from Dialogflow.

role String

The role of the participant.

userId String

A user-specified ID representing the participant.

dialogflowParticipant string

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

Deprecated:

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

dialogflowParticipantName string

The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

obfuscatedExternalUserId string

Obfuscated user ID from Dialogflow.

role string

The role of the participant.

userId string

A user-specified ID representing the participant.

dialogflow_participant str

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

Deprecated:

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

dialogflow_participant_name str

The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

obfuscated_external_user_id str

Obfuscated user ID from Dialogflow.

role str

The role of the participant.

user_id str

A user-specified ID representing the participant.

dialogflowParticipant String

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

Deprecated:

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

dialogflowParticipantName String

The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}

obfuscatedExternalUserId String

Obfuscated user ID from Dialogflow.

role String

The role of the participant.

userId String

A user-specified ID representing the participant.

GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse, GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponseArgs

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

AnswerRecord string: The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
Confidence float64: The confidence score of the summarization.
ConversationModel string: The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
Metadata map[string]string: A map that contains metadata about the summarization and the document from which it originates.
Text string: The summarization content that is concatenated into one string.
TextSections map[string]string: The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.

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

answerRecord string: The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
confidence number: The confidence score of the summarization.
conversationModel string: The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
metadata {[key: string]: string}: A map that contains metadata about the summarization and the document from which it originates.
text string: The summarization content that is concatenated into one string.
textSections {[key: string]: string}: The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.

answer_record str: The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
confidence float: The confidence score of the summarization.
conversation_model str: The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
metadata Mapping[str, str]: A map that contains metadata about the summarization and the document from which it originates.
text str: The summarization content that is concatenated into one string.
text_sections Mapping[str, str]: The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.

answerRecord String: The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}
confidence Number: The confidence score of the summarization.
conversationModel String: The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}
metadata Map<String>: A map that contains metadata about the summarization and the document from which it originates.
text String: The summarization content that is concatenated into one string.
textSections Map<String>: The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.

GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse, GoogleCloudContactcenterinsightsV1ConversationTranscriptResponseArgs

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, GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponseArgs

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, GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponseArgs

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, GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponseArgs

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, GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponseArgs

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}

GoogleCloudContactcenterinsightsV1DialogflowSource, GoogleCloudContactcenterinsightsV1DialogflowSourceArgs

AudioUri string: Cloud Storage URI that points to a file that contains the conversation audio.

AudioUri string: Cloud Storage URI that points to a file that contains the conversation audio.

audioUri String: Cloud Storage URI that points to a file that contains the conversation audio.

audioUri string: Cloud Storage URI that points to a file that contains the conversation audio.

audio_uri str: Cloud Storage URI that points to a file that contains the conversation audio.

audioUri String: Cloud Storage URI that points to a file that contains the conversation audio.

GoogleCloudContactcenterinsightsV1DialogflowSourceResponse, GoogleCloudContactcenterinsightsV1DialogflowSourceResponseArgs

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, GoogleCloudContactcenterinsightsV1EntityMentionDataResponseArgs

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, GoogleCloudContactcenterinsightsV1FaqAnswerDataResponseArgs

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}.

GoogleCloudContactcenterinsightsV1GcsSource, GoogleCloudContactcenterinsightsV1GcsSourceArgs

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.

GoogleCloudContactcenterinsightsV1GcsSourceResponse, GoogleCloudContactcenterinsightsV1GcsSourceResponseArgs

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, GoogleCloudContactcenterinsightsV1IntentMatchDataResponseArgs

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, GoogleCloudContactcenterinsightsV1IssueAssignmentResponseArgs

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, GoogleCloudContactcenterinsightsV1IssueMatchDataResponseArgs

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, GoogleCloudContactcenterinsightsV1IssueModelResultResponseArgs

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, GoogleCloudContactcenterinsightsV1PhraseMatchDataResponseArgs

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, GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponseArgs

AnnotationId string: The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
AnswerFeedback Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse: The feedback that the customer has about the answer in data.
ArticleSuggestion Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse: Agent Assist Article Suggestion data.
ConversationSummarizationSuggestion Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Conversation summarization suggestion data.
CreateTime string: The time at which this annotation was created.
DialogflowInteraction Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse: Dialogflow interaction data.
EndBoundary Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
FaqAnswer Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse: Agent Assist FAQ answer data.
SmartComposeSuggestion Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse: Agent Assist Smart Compose suggestion data.
SmartReply Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SmartReplyDataResponse: Agent Assist Smart Reply data.
StartBoundary Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.

AnnotationId string: The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
AnswerFeedback GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse: The feedback that the customer has about the answer in data.
ArticleSuggestion GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse: Agent Assist Article Suggestion data.
ConversationSummarizationSuggestion GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Conversation summarization suggestion data.
CreateTime string: The time at which this annotation was created.
DialogflowInteraction GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse: Dialogflow interaction data.
EndBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
FaqAnswer GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse: Agent Assist FAQ answer data.
SmartComposeSuggestion GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse: Agent Assist Smart Compose suggestion data.
SmartReply GoogleCloudContactcenterinsightsV1SmartReplyDataResponse: Agent Assist Smart Reply data.
StartBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.

annotationId String: The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
answerFeedback GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse: The feedback that the customer has about the answer in data.
articleSuggestion GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse: Agent Assist Article Suggestion data.
conversationSummarizationSuggestion GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Conversation summarization suggestion data.
createTime String: The time at which this annotation was created.
dialogflowInteraction GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse: Dialogflow interaction data.
endBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
faqAnswer GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse: Agent Assist FAQ answer data.
smartComposeSuggestion GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse: Agent Assist Smart Compose suggestion data.
smartReply GoogleCloudContactcenterinsightsV1SmartReplyDataResponse: Agent Assist Smart Reply data.
startBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.

annotationId string: The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
answerFeedback GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse: The feedback that the customer has about the answer in data.
articleSuggestion GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse: Agent Assist Article Suggestion data.
conversationSummarizationSuggestion GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Conversation summarization suggestion data.
createTime string: The time at which this annotation was created.
dialogflowInteraction GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse: Dialogflow interaction data.
endBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
faqAnswer GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse: Agent Assist FAQ answer data.
smartComposeSuggestion GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse: Agent Assist Smart Compose suggestion data.
smartReply GoogleCloudContactcenterinsightsV1SmartReplyDataResponse: Agent Assist Smart Reply data.
startBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.

annotation_id str: The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
answer_feedback GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse: The feedback that the customer has about the answer in data.
article_suggestion GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse: Agent Assist Article Suggestion data.
conversation_summarization_suggestion GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse: Conversation summarization suggestion data.
create_time str: The time at which this annotation was created.
dialogflow_interaction GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse: Dialogflow interaction data.
end_boundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
faq_answer GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse: Agent Assist FAQ answer data.
smart_compose_suggestion GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse: Agent Assist Smart Compose suggestion data.
smart_reply GoogleCloudContactcenterinsightsV1SmartReplyDataResponse: Agent Assist Smart Reply data.
start_boundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.

annotationId String: The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}
answerFeedback Property Map: The feedback that the customer has about the answer in data.
articleSuggestion Property Map: Agent Assist Article Suggestion data.
conversationSummarizationSuggestion Property Map: Conversation summarization suggestion data.
createTime String: The time at which this annotation was created.
dialogflowInteraction Property Map: Dialogflow interaction data.
endBoundary Property Map: The boundary in the conversation where the annotation ends, inclusive.
faqAnswer Property Map: Agent Assist FAQ answer data.
smartComposeSuggestion Property Map: Agent Assist Smart Compose suggestion data.
smartReply Property Map: Agent Assist Smart Reply data.
startBoundary Property Map: The boundary in the conversation where the annotation starts, inclusive.

GoogleCloudContactcenterinsightsV1SentimentDataResponse, GoogleCloudContactcenterinsightsV1SentimentDataResponseArgs

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, GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponseArgs

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, GoogleCloudContactcenterinsightsV1SmartReplyDataResponseArgs

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

Google Cloud Native v0.31.1 published on Thursday, Jul 20, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.contactcenterinsights/v1.Conversation

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Create Conversation Resource

Conversation Resource Properties

Inputs

Outputs

Supporting Types

ConversationMedium, ConversationMediumArgs

GoogleCloudContactcenterinsightsV1AnalysisResponse, GoogleCloudContactcenterinsightsV1AnalysisResponseArgs

GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse, GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponseArgs

GoogleCloudContactcenterinsightsV1AnalysisResultResponse, GoogleCloudContactcenterinsightsV1AnalysisResultResponseArgs

GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse, GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponseArgs

GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse, GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponseArgs

GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponse, GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfigResponseArgs

GoogleCloudContactcenterinsightsV1AnswerFeedbackResponse, GoogleCloudContactcenterinsightsV1AnswerFeedbackResponseArgs

GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponse, GoogleCloudContactcenterinsightsV1ArticleSuggestionDataResponseArgs

GoogleCloudContactcenterinsightsV1CallAnnotationResponse, GoogleCloudContactcenterinsightsV1CallAnnotationResponseArgs

GoogleCloudContactcenterinsightsV1ConversationCallMetadata, GoogleCloudContactcenterinsightsV1ConversationCallMetadataArgs

GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponse, GoogleCloudContactcenterinsightsV1ConversationCallMetadataResponseArgs

GoogleCloudContactcenterinsightsV1ConversationDataSource, GoogleCloudContactcenterinsightsV1ConversationDataSourceArgs

GoogleCloudContactcenterinsightsV1ConversationDataSourceResponse, GoogleCloudContactcenterinsightsV1ConversationDataSourceResponseArgs

GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse, GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponseArgs

GoogleCloudContactcenterinsightsV1ConversationParticipantResponse, GoogleCloudContactcenterinsightsV1ConversationParticipantResponseArgs

GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponse, GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionDataResponseArgs

GoogleCloudContactcenterinsightsV1ConversationTranscriptResponse, GoogleCloudContactcenterinsightsV1ConversationTranscriptResponseArgs

GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponse, GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadataResponseArgs

GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponse, GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentResponseArgs

GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponse, GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfoResponseArgs

GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponse, GoogleCloudContactcenterinsightsV1DialogflowInteractionDataResponseArgs

GoogleCloudContactcenterinsightsV1DialogflowSource, GoogleCloudContactcenterinsightsV1DialogflowSourceArgs

GoogleCloudContactcenterinsightsV1DialogflowSourceResponse, GoogleCloudContactcenterinsightsV1DialogflowSourceResponseArgs

GoogleCloudContactcenterinsightsV1EntityMentionDataResponse, GoogleCloudContactcenterinsightsV1EntityMentionDataResponseArgs

GoogleCloudContactcenterinsightsV1FaqAnswerDataResponse, GoogleCloudContactcenterinsightsV1FaqAnswerDataResponseArgs

GoogleCloudContactcenterinsightsV1GcsSource, GoogleCloudContactcenterinsightsV1GcsSourceArgs

GoogleCloudContactcenterinsightsV1GcsSourceResponse, GoogleCloudContactcenterinsightsV1GcsSourceResponseArgs

GoogleCloudContactcenterinsightsV1IntentMatchDataResponse, GoogleCloudContactcenterinsightsV1IntentMatchDataResponseArgs

GoogleCloudContactcenterinsightsV1IssueAssignmentResponse, GoogleCloudContactcenterinsightsV1IssueAssignmentResponseArgs

GoogleCloudContactcenterinsightsV1IssueMatchDataResponse, GoogleCloudContactcenterinsightsV1IssueMatchDataResponseArgs

GoogleCloudContactcenterinsightsV1IssueModelResultResponse, GoogleCloudContactcenterinsightsV1IssueModelResultResponseArgs

GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse, GoogleCloudContactcenterinsightsV1PhraseMatchDataResponseArgs

GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponse, GoogleCloudContactcenterinsightsV1RuntimeAnnotationResponseArgs

GoogleCloudContactcenterinsightsV1SentimentDataResponse, GoogleCloudContactcenterinsightsV1SentimentDataResponseArgs

GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponse, GoogleCloudContactcenterinsightsV1SmartComposeSuggestionDataResponseArgs

GoogleCloudContactcenterinsightsV1SmartReplyDataResponse, GoogleCloudContactcenterinsightsV1SmartReplyDataResponseArgs

Package Details

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