{ "description": "", "schemas": { "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsMetadata", "type": "object", "description": "The metadata for a bulk analyze conversations operation.", "properties": { "endTime": { "description": "The time the operation finished running.", "type": "string", "format": "google-datetime" }, "completedAnalysesCount": { "description": "The number of requested analyses that have completed successfully so far.", "type": "integer", "format": "int32" }, "createTime": { "description": "The time the operation was created.", "type": "string", "format": "google-datetime" }, "request": { "description": "The original request for bulk analyze.", "$ref": "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsRequest" }, "relabel": { "readOnly": true, "type": "boolean", "description": "Output only. If true, the labeling rules will be re-evaluated for the conversations." }, "totalRequestedAnalysesCount": { "description": "Total number of analyses requested. Computed by the number of conversations returned by `filter` multiplied by `analysis_percentage` in the request.", "type": "integer", "format": "int32" }, "partialErrors": { "readOnly": true, "description": "Output only. Partial errors during bulk analyze operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "failedAnalysesCount": { "type": "integer", "format": "int32", "description": "The number of requested analyses that have failed so far." } } }, "GoogleCloudContactcenterinsightsV1mainInterruptionData": { "properties": {}, "description": "The data for an interruption annotation.", "id": "GoogleCloudContactcenterinsightsV1mainInterruptionData", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainUploadConversationMetadata": { "description": "The metadata for an `UploadConversation` operation.", "id": "GoogleCloudContactcenterinsightsV1mainUploadConversationMetadata", "type": "object", "properties": { "analysisOperation": { "description": "Output only. The operation name for a successfully created analysis operation, if any.", "type": "string", "readOnly": true }, "appliedRedactionConfig": { "readOnly": true, "description": "Output only. The redaction config applied to the uploaded conversation.", "$ref": "GoogleCloudContactcenterinsightsV1mainRedactionConfig" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1mainUploadConversationRequest" } } }, "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsRequest": { "properties": { "filter": { "type": "string", "description": "Filter used to select the subset of conversations to delete." }, "maxDeleteCount": { "type": "integer", "format": "int32", "description": "Maximum number of conversations to delete." }, "parent": { "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}", "type": "string" }, "force": { "description": "If set to true, all of this conversation's analyses will also be deleted. Otherwise, the request will only succeed if the conversation has no analyses.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsRequest", "type": "object", "description": "The request to delete conversations in bulk." }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadataIngestConversationsStats": { "properties": { "successfulIngestCount": { "readOnly": true, "description": "Output only. The number of new conversations added during this ingest operation.", "type": "integer", "format": "int32" }, "failedIngestCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The number of objects which were unable to be ingested due to errors. The errors are populated in the partial_errors field." }, "processedObjectCount": { "description": "Output only. The number of objects processed during the ingest operation.", "type": "integer", "format": "int32", "readOnly": true }, "duplicatesSkippedCount": { "readOnly": true, "description": "Output only. The number of objects skipped because another conversation with the same transcript uri had already been ingested.", "type": "integer", "format": "int32" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadataIngestConversationsStats", "type": "object", "description": "Statistics for IngestConversations operation." }, "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStatsIssueStats": { "properties": { "labeledConversationsCount": { "type": "string", "format": "int64", "description": "Number of conversations attached to the issue at this point in time." }, "displayName": { "type": "string", "description": "Display name of the issue." }, "issue": { "type": "string", "description": "Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}" } }, "description": "Aggregated statistics about an issue.", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStatsIssueStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStats": { "properties": { "conversationCorrelationErrors": { "type": "array", "description": "A list of errors that occurred during correlation, one for each conversation that failed.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError" } }, "sampledConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations sampled." }, "partialErrors": { "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "correlatedConversationsCount": { "description": "The number of conversations correlated.", "type": "integer", "format": "int32" }, "failedConversationsCount": { "description": "The number of conversations that failed correlation.", "type": "integer", "format": "int32" } }, "description": "Statistics for TestCorrelationConfig operation.", "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationLevelSilence": { "id": "GoogleCloudContactcenterinsightsV1mainConversationLevelSilence", "type": "object", "description": "Conversation-level silence data.", "properties": { "silencePercentage": { "description": "Percentage of the total conversation spent in silence.", "type": "number", "format": "float" }, "silenceDuration": { "type": "string", "format": "google-duration", "description": "Amount of time calculated to be in silence." } } }, "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagRequest": { "properties": { "qaQuestionTag": { "description": "Required. The QaQuestionTag to update.", "$ref": "GoogleCloudContactcenterinsightsV1QaQuestionTag" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `qa_question_tag_name` - the name of the tag * `qa_question_ids` - the list of questions the tag applies to" } }, "description": "The request for updating a QaQuestionTag.", "id": "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecResponse": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecResponse", "type": "object", "description": "The response to initialize a location-level encryption specification." }, "GoogleCloudContactcenterinsightsV1UndeployIssueModelMetadata": { "description": "Metadata for undeploying an issue model.", "id": "GoogleCloudContactcenterinsightsV1UndeployIssueModelMetadata", "type": "object", "properties": { "request": { "description": "The original request for undeployment.", "$ref": "GoogleCloudContactcenterinsightsV1UndeployIssueModelRequest" }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagMetadata": { "id": "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagMetadata", "type": "object", "description": "The metadata for updating a QaQuestionTag Resource.", "properties": { "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "request": { "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagRequest", "readOnly": true } } }, "GoogleCloudCesV1mainToolResponse": { "description": "The execution result of a specific tool from the client or the agent.", "id": "GoogleCloudCesV1mainToolResponse", "type": "object", "properties": { "id": { "description": "Optional. The matching ID of the tool call the response is for.", "type": "string" }, "toolsetTool": { "description": "Optional. The toolset tool that got executed.", "$ref": "GoogleCloudCesV1mainToolsetTool" }, "tool": { "type": "string", "description": "Optional. The name of the tool to execute. Format: `projects/{project}/locations/{location}/apps/{app}/tools/{tool}`" }, "displayName": { "readOnly": true, "type": "string", "description": "Output only. Display name of the tool." }, "response": { "description": "Required. The tool execution result in JSON object format. Use \"output\" key to specify tool response and \"error\" key to specify error details (if any). If \"output\" and \"error\" keys are not specified, then whole \"response\" is treated as tool execution result.", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." } } } }, "GoogleCloudContactcenterinsightsV1mainConversationCorrelationInfo": { "properties": { "fullConversationCorrelationId": { "type": "string", "description": "Output only. The full conversation correlation id this conversation is a segment of.", "readOnly": true }, "mergedFullConversationCorrelationId": { "readOnly": true, "description": "Output only. The full conversation correlation id this conversation is a merged conversation of.", "type": "string" }, "correlationTypes": { "type": "array", "description": "Output only. The correlation types of this conversation. A single conversation can have multiple correlation types. For example a conversation that only has a single segment is both a SEGMENT and a FULL_CONVERSATION.", "items": { "type": "string", "enumDescriptions": [ "Default value for unspecified.", "This conversation represents a segment of a full conversation. The lowest level of granularity.", "This conversation represents a partial conversation of potentially multiple segments but is not a full conversation.", "This conversation represents a full conversation of potentially multiple segments.", "This conversation represents a synthetic conversation." ], "enum": [ "CORRELATION_TYPE_UNSPECIFIED", "SEGMENT", "PARTIAL", "FULL", "SYNTHETIC" ] }, "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationInfo", "type": "object", "description": "Info for correlating across conversations." }, "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotation": { "properties": { "userInput": { "description": "Explicit input used for generating the answer", "$ref": "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotationUserInput" }, "answerFeedback": { "description": "The feedback that the customer has about the answer in `data`.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnswerFeedback" }, "faqAnswer": { "description": "Agent Assist FAQ answer data.", "$ref": "GoogleCloudContactcenterinsightsV1mainFaqAnswerData" }, "annotationId": { "description": "The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}", "type": "string" }, "articleSuggestion": { "description": "Agent Assist Article Suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1mainArticleSuggestionData" }, "startBoundary": { "description": "The boundary in the conversation where the annotation starts, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary" }, "cesEndSessionAnnotation": { "description": "The CES end session annotation.", "$ref": "GoogleCloudContactcenterinsightsV1mainCesEndSessionAnnotation" }, "endBoundary": { "description": "The boundary in the conversation where the annotation ends, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary" }, "cesTurnAnnotation": { "description": "The CES turn annotation.", "$ref": "GoogleCloudContactcenterinsightsV1mainCesTurnAnnotation" }, "createTime": { "description": "The time at which this annotation was created.", "type": "string", "format": "google-datetime" }, "conversationSummarizationSuggestion": { "description": "Conversation summarization suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationSummarizationSuggestionData" }, "dialogflowInteraction": { "description": "Dialogflow interaction data.", "$ref": "GoogleCloudContactcenterinsightsV1mainDialogflowInteractionData" }, "smartReply": { "description": "Agent Assist Smart Reply data.", "$ref": "GoogleCloudContactcenterinsightsV1mainSmartReplyData" }, "smartComposeSuggestion": { "description": "Agent Assist Smart Compose suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1mainSmartComposeSuggestionData" } }, "id": "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotation", "type": "object", "description": "An annotation that was generated during the customer and agent interaction." }, "GoogleCloudContactcenterinsightsV1Entity": { "id": "GoogleCloudContactcenterinsightsV1Entity", "type": "object", "description": "The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location.", "properties": { "sentiment": { "description": "The aggregate sentiment expressed for this entity in the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" }, "type": { "description": "The entity type.", "type": "string", "enumDescriptions": [ "Unspecified.", "Person.", "Location.", "Organization.", "Event.", "Artwork.", "Consumer product.", "Other types of entities.", "Phone number. The metadata lists the phone number (formatted according to local convention), plus whichever additional elements appear in the text: * `number` - The actual number, broken down into sections according to local convention. * `national_prefix` - Country code, if detected. * `area_code` - Region or area code, if detected. * `extension` - Phone extension (to be dialed after connection), if detected.", "Address. The metadata identifies the street number and locality plus whichever additional elements appear in the text: * `street_number` - Street number. * `locality` - City or town. * `street_name` - Street/route name, if detected. * `postal_code` - Postal code, if detected. * `country` - Country, if detected. * `broad_region` - Administrative area, such as the state, if detected. * `narrow_region` - Smaller administrative area, such as county, if detected. * `sublocality` - Used in Asian addresses to demark a district within a city, if detected.", "Date. The metadata identifies the components of the date: * `year` - Four digit year, if detected. * `month` - Two digit month number, if detected. * `day` - Two digit day number, if detected.", "Number. The metadata is the number itself.", "Price. The metadata identifies the `value` and `currency`." ], "enum": [ "TYPE_UNSPECIFIED", "PERSON", "LOCATION", "ORGANIZATION", "EVENT", "WORK_OF_ART", "CONSUMER_GOOD", "OTHER", "PHONE_NUMBER", "ADDRESS", "DATE", "NUMBER", "PRICE" ] }, "salience": { "description": "The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient.", "type": "number", "format": "float" }, "displayName": { "type": "string", "description": "The representative name for the entity." }, "metadata": { "type": "object", "description": "Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.", "additionalProperties": { "type": "string" } } } }, "GoogleProtobufEmpty": { "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", "id": "GoogleProtobufEmpty", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1AnswerFeedback": { "description": "The feedback that the customer has about a certain answer in the conversation.", "id": "GoogleCloudContactcenterinsightsV1AnswerFeedback", "type": "object", "properties": { "clicked": { "description": "Indicates whether an answer or item was clicked by the human agent.", "type": "boolean" }, "displayed": { "type": "boolean", "description": "Indicates whether an answer or item was displayed to the human agent in the agent desktop UI." }, "correctnessLevel": { "description": "The correctness level of an answer.", "type": "string", "enumDescriptions": [ "Correctness level unspecified.", "Answer is totally wrong.", "Answer is partially correct.", "Answer is fully correct." ], "enum": [ "CORRECTNESS_LEVEL_UNSPECIFIED", "NOT_CORRECT", "PARTIALLY_CORRECT", "FULLY_CORRECT" ] } } }, "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelRequest": { "description": "The request to deploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelRequest", "type": "object", "properties": { "name": { "type": "string", "description": "Required. The issue model to deploy." } } }, "GoogleCloudContactcenterinsightsV1QaScorecardResultQaTagResult": { "properties": { "tag": { "type": "string", "description": "The tag the score applies to." }, "score": { "type": "number", "format": "double", "description": "The score the tag applies to." }, "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score the tag applies to." }, "potentialScore": { "description": "The potential score the tag applies to.", "type": "number", "format": "double" } }, "id": "GoogleCloudContactcenterinsightsV1QaScorecardResultQaTagResult", "type": "object", "description": "Tags and their corresponding results." }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult": { "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult", "type": "object", "description": "The percentile result. Currently supported percentiles are 50th, 90th, and 99th.", "properties": { "p99": { "description": "The 99th percentile value.", "type": "number", "format": "double" }, "p50": { "type": "number", "format": "double", "description": "The 50th percentile value." }, "p90": { "type": "number", "format": "double", "description": "The 90th percentile value." } } }, "GoogleCloudCesV1mainMessage": { "id": "GoogleCloudCesV1mainMessage", "type": "object", "description": "A message within a conversation.", "properties": { "chunks": { "type": "array", "description": "Optional. Content of the message as a series of chunks.", "items": { "$ref": "GoogleCloudCesV1mainChunk" } }, "eventTime": { "description": "Optional. Timestamp when the message was sent or received. Should not be used if the message is part of an example.", "type": "string", "format": "google-datetime" }, "role": { "description": "Optional. The role within the conversation, e.g., user, agent.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequestAgentSource": { "id": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequestAgentSource", "type": "object", "description": "The entity whose performance is being queried is a single agent.", "properties": { "agentId": { "type": "string", "description": "Required. Agent id to query performance overview for." } } }, "GoogleCloudContactcenterinsightsV1ImportIssueModelRequestGcsSource": { "properties": { "objectUri": { "type": "string", "description": "Required. Format: `gs:///`" } }, "description": "Google Cloud Storage Object URI to get the issue model file from.", "id": "GoogleCloudContactcenterinsightsV1ImportIssueModelRequestGcsSource", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainImportIssueModelMetadata": { "properties": { "request": { "description": "The original import request.", "$ref": "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequest" }, "createTime": { "type": "string", "format": "google-datetime", "description": "The time the operation was created." }, "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." } }, "id": "GoogleCloudContactcenterinsightsV1mainImportIssueModelMetadata", "type": "object", "description": "Metadata used for import issue model." }, "GoogleCloudContactcenterinsightsV1alpha1AnalysisResult": { "properties": { "endTime": { "type": "string", "format": "google-datetime", "description": "The time at which the analysis ended." }, "callAnalysisMetadata": { "description": "Call-specific metadata created by the analysis.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisResultCallAnalysisMetadata" } }, "description": "The result of an analysis.", "id": "GoogleCloudContactcenterinsightsV1alpha1AnalysisResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainCreateIssueModelRequest": { "properties": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string" }, "issueModel": { "description": "Required. The issue model to create.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModel" } }, "id": "GoogleCloudContactcenterinsightsV1mainCreateIssueModelRequest", "type": "object", "description": "The request to create an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1IntentMatchData": { "properties": { "intentUniqueId": { "description": "The id of the matched intent. Can be used to retrieve the corresponding intent information.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1IntentMatchData", "type": "object", "description": "The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences." }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSlice": { "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request. For example, if the request specifies a single ISSUE dimension and it has a cardinality of 2 (i.e. the data used to compute the metrics has 2 issues in total), the response will have 2 slices: * Slice 1 -\u003e dimensions=[Issue 1] * Slice 2 -\u003e dimensions=[Issue 2]", "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSlice", "type": "object", "properties": { "dimensions": { "type": "array", "description": "A unique combination of dimensions that this slice represents.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainDimension" } }, "total": { "description": "The total metric value. The interval of this data point is [starting create time, ending create time) from the request.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPoint" }, "timeSeries": { "description": "A time series of metric values. This is only populated if the request specifies a time granularity other than NONE.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceTimeSeries" } } }, "GoogleCloudContactcenterinsightsV1alpha1Container": { "description": "Configurable dashboard's container. Container can contain multiple widgets.", "id": "GoogleCloudContactcenterinsightsV1alpha1Container", "type": "object", "properties": { "widgets": { "type": "array", "description": "Widgets in the Container.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Widget" } }, "description": { "description": "Container description", "type": "string" }, "height": { "type": "integer", "format": "int32", "description": "The height of the container in grid units." }, "filter": { "type": "string", "description": "Filter applied to all charts in the container. Should support scope later." }, "containerId": { "readOnly": true, "description": "Output only. Unique ID for the container.", "type": "string" }, "dateRangeConfig": { "description": "Date range config applied to all charts in the container.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig" }, "displayName": { "description": "User provided display name of the Container.", "type": "string" }, "width": { "type": "integer", "format": "int32", "description": "The width of the container in grid units." } } }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecard": { "properties": { "displayName": { "type": "string", "description": "The user-specified display name of the scorecard." }, "name": { "type": "string", "description": "Identifier. The scorecard name. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}" }, "isDefault": { "description": "Whether the scorecard is the default one for the project. A default scorecard cannot be deleted and will always appear first in scorecard selector.", "type": "boolean" }, "source": { "enumDescriptions": [ "The source of the scorecard is unspecified. Default to QA_SCORECARD_SOURCE_CUSTOMER_DEFINED.", "The scorecard is a custom scorecard created by the user.", "The scorecard is a scorecard created through discovery engine deployment." ], "enum": [ "QA_SCORECARD_SOURCE_UNSPECIFIED", "QA_SCORECARD_SOURCE_CUSTOMER_DEFINED", "QA_SCORECARD_SOURCE_DISCOVERY_ENGINE" ], "readOnly": true, "description": "Output only. The source of the scorecard.", "type": "string" }, "description": { "description": "A text description explaining the intent of the scorecard.", "type": "string" }, "createTime": { "readOnly": true, "description": "Output only. The time at which this scorecard was created.", "type": "string", "format": "google-datetime" }, "updateTime": { "readOnly": true, "description": "Output only. The most recent time at which the scorecard was updated.", "type": "string", "format": "google-datetime" } }, "description": "A QaScorecard represents a collection of questions to be scored during analysis.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector": { "description": "Selector of all available annotators and phrase matchers to run.", "id": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector", "type": "object", "properties": { "runPhraseMatcherAnnotator": { "type": "boolean", "description": "Whether to run the active phrase matcher annotator(s)." }, "runEntityAnnotator": { "type": "boolean", "description": "Whether to run the entity annotator." }, "runSummarizationAnnotator": { "type": "boolean", "description": "Whether to run the summarization annotator." }, "runInterruptionAnnotator": { "description": "Whether to run the interruption annotator.", "type": "boolean" }, "runQaAnnotator": { "type": "boolean", "description": "Whether to run the QA annotator." }, "summarizationConfig": { "description": "Configuration for the summarization annotator.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorSummarizationConfig" }, "runAutoLabelingAnnotator": { "description": "Optional. Whether to run the auto-labeling annotator. If true, the auto-labeling annotator will be run. This is a non-billable operation designed for fixing or backfilling custom labels.", "type": "boolean" }, "runSentimentAnnotator": { "type": "boolean", "description": "Whether to run the sentiment annotator." }, "phraseMatchers": { "description": "The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}", "items": { "type": "string" }, "type": "array" }, "runIntentAnnotator": { "description": "Whether to run the intent annotator.", "type": "boolean" }, "qaConfig": { "description": "Configuration for the QA annotator.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfig" }, "runSilenceAnnotator": { "description": "Whether to run the silence annotator.", "type": "boolean" }, "issueModels": { "type": "array", "description": "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.", "items": { "type": "string" } }, "runIssueModelAnnotator": { "description": "Whether to run the issue model annotator. A model should have already been deployed for this to take effect.", "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1alpha1CalculateIssueModelStatsResponse": { "properties": { "currentStats": { "description": "The latest label statistics for the queried issue model. Includes results on both training data and data labeled after deployment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStats" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateIssueModelStatsResponse", "type": "object", "description": "Response of querying an issue model's statistics." }, "GoogleCloudContactcenterinsightsV1mainDimensionLabelDimensionMetadata": { "description": "Metadata about conversation labels.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionLabelDimensionMetadata", "type": "object", "properties": { "labelKey": { "description": "Optional. The label key.", "type": "string" }, "labelValue": { "type": "string", "description": "Optional. The label value." } } }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionQaQuestionDataOptions": { "properties": { "conversationDataOptions": { "description": "Options for configuring the conversation data used to generate the QA question.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataOptions" } }, "description": "Options for configuring the data used to generate the QA question.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionQaQuestionDataOptions", "type": "object" }, "GoogleCloudContactcenterinsightsV1Issue": { "description": "The issue resource.", "id": "GoogleCloudContactcenterinsightsV1Issue", "type": "object", "properties": { "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time that this issue was updated.", "readOnly": true }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which this issue was created." }, "displayDescription": { "description": "Representative description of the issue.", "type": "string" }, "name": { "type": "string", "description": "Immutable. The resource name of the issue. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}" }, "displayName": { "type": "string", "description": "The representative name for the issue." }, "sampleUtterances": { "readOnly": true, "type": "array", "description": "Output only. Resource names of the sample representative utterances that match to this issue.", "items": { "type": "string" } } } }, "GoogleCloudContactcenterinsightsV1mainQaScorecardResultScoreSource": { "properties": { "potentialScore": { "type": "number", "format": "double", "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation." }, "score": { "type": "number", "format": "double", "description": "The overall numerical score of the result." }, "sourceType": { "enumDescriptions": [ "Source type is unspecified.", "Score is derived only from system-generated answers.", "Score is derived from both system-generated answers, and includes any manual edits if they exist." ], "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED_ONLY", "INCLUDES_MANUAL_EDITS" ], "description": "What created the score.", "type": "string" }, "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score, which is the score divided by the potential score." }, "qaTagResults": { "type": "array", "description": "Collection of tags and their scores.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultQaTagResult" } } }, "id": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultScoreSource", "type": "object", "description": "A scorecard result may have multiple sets of scores from varying sources, one of which becomes the \"main\" answer above. A ScoreSource represents each individual set of scores." }, "GoogleCloudContactcenterinsightsV1alpha1FinalizeAssessmentRequest": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1alpha1FinalizeAssessmentRequest", "type": "object", "description": "The message to finalize an assessment. Finalizing makes an assessment and its notes immutable." }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceTimeSeries": { "description": "A time series of metric values.", "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceTimeSeries", "type": "object", "properties": { "dataPoints": { "description": "The data points that make up the time series .", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPoint" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadataIngestConversationsStats": { "description": "Statistics for IngestConversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadataIngestConversationsStats", "type": "object", "properties": { "processedObjectCount": { "readOnly": true, "description": "Output only. The number of objects processed during the ingest operation.", "type": "integer", "format": "int32" }, "duplicatesSkippedCount": { "description": "Output only. The number of objects skipped because another conversation with the same transcript uri had already been ingested.", "type": "integer", "format": "int32", "readOnly": true }, "successfulIngestCount": { "readOnly": true, "description": "Output only. The number of new conversations added during this ingest operation.", "type": "integer", "format": "int32" }, "failedIngestCount": { "description": "Output only. The number of objects which were unable to be ingested due to errors. The errors are populated in the partial_errors field.", "type": "integer", "format": "int32", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchData": { "properties": { "phraseMatcher": { "type": "string", "description": "The unique identifier (the resource name) of the phrase matcher." }, "displayName": { "type": "string", "description": "The human-readable name of the phrase matcher." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchData", "type": "object", "description": "The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match." }, "GoogleCloudContactcenterinsightsV1alpha1Intent": { "description": "The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE.", "id": "GoogleCloudContactcenterinsightsV1alpha1Intent", "type": "object", "properties": { "id": { "description": "The unique identifier of the intent.", "type": "string" }, "displayName": { "type": "string", "description": "The human-readable name of the intent." } } }, "GoogleCloudContactcenterinsightsV1DeployIssueModelRequest": { "description": "The request to deploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1DeployIssueModelRequest", "type": "object", "properties": { "name": { "type": "string", "description": "Required. The issue model to deploy." } } }, "GoogleCloudContactcenterinsightsV1alpha1Issue": { "properties": { "displayDescription": { "description": "Representative description of the issue.", "type": "string" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which this issue was created.", "readOnly": true }, "updateTime": { "readOnly": true, "description": "Output only. The most recent time that this issue was updated.", "type": "string", "format": "google-datetime" }, "displayName": { "description": "The representative name for the issue.", "type": "string" }, "sampleUtterances": { "readOnly": true, "description": "Output only. Resource names of the sample representative utterances that match to this issue.", "items": { "type": "string" }, "type": "array" }, "name": { "description": "Immutable. The resource name of the issue. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1Issue", "type": "object", "description": "The issue resource." }, "GoogleCloudContactcenterinsightsV1alpha1QaAnswer": { "properties": { "qaQuestion": { "type": "string", "description": "The QaQuestion answered by this answer." }, "questionBody": { "type": "string", "description": "Question text. E.g., \"Did the agent greet the customer?\"" }, "answerSources": { "description": "Lists all answer sources containing one or more answer values of a specific source type, e.g., all system-generated answer sources, or all manual edit answer sources.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerSource" }, "type": "array" }, "conversation": { "description": "The conversation the answer applies to.", "type": "string" }, "tags": { "type": "array", "description": "User-defined list of arbitrary tags. Matches the value from QaScorecard.ScorecardQuestion.tags. Used for grouping/organization and for weighting the score of each answer.", "items": { "type": "string" } }, "answerValue": { "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaAnswer", "type": "object", "description": "An answer to a QaQuestion." }, "GoogleCloudContactcenterinsightsV1Dataset": { "properties": { "updateTime": { "readOnly": true, "description": "Output only. Dataset update time.", "type": "string", "format": "google-datetime" }, "type": { "type": "string", "description": "Dataset usage type.", "enumDescriptions": [ "Default value for unspecified.", "For evals only.", "Dataset with new conversations coming in regularly (Insights legacy conversations and AI trainer)" ], "enum": [ "TYPE_UNSPECIFIED", "EVAL", "LIVE" ] }, "ttl": { "description": "Optional. Option TTL for the dataset.", "type": "string", "format": "google-duration" }, "description": { "description": "Dataset description.", "type": "string" }, "createTime": { "readOnly": true, "description": "Output only. Dataset create time.", "type": "string", "format": "google-datetime" }, "name": { "description": "Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}", "type": "string" }, "displayName": { "type": "string", "description": "Display name for the dataaset" } }, "id": "GoogleCloudContactcenterinsightsV1Dataset", "type": "object", "description": "Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)" }, "GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfig": { "properties": { "summarizationModel": { "enumDeprecated": [ false, true, true ], "type": "string", "description": "Default summarization model to be used.", "enumDescriptions": [ "Unspecified summarization model.", "The CCAI baseline model. This model is deprecated and will be removed in the future. We recommend using `generator` instead.", "The CCAI baseline model, V2.0. This model is deprecated and will be removed in the future. We recommend using `generator` instead." ], "enum": [ "SUMMARIZATION_MODEL_UNSPECIFIED", "BASELINE_MODEL", "BASELINE_MODEL_V2_0" ] }, "conversationProfile": { "description": "Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}", "type": "string" }, "generator": { "description": "The resource name of the existing created generator. Format: projects//locations//generators/", "type": "string" } }, "description": "Configuration for summarization.", "id": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfig", "type": "object" }, "GoogleLongrunningListOperationsResponse": { "properties": { "operations": { "type": "array", "description": "A list of operations that matches the specified filter in the request.", "items": { "$ref": "GoogleLongrunningOperation" } }, "unreachable": { "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", "items": { "type": "string" }, "type": "array" }, "nextPageToken": { "description": "The standard List next-page token.", "type": "string" } }, "description": "The response message for Operations.ListOperations.", "id": "GoogleLongrunningListOperationsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRuleLabelingCondition": { "properties": { "condition": { "description": "A optional CEL expression to be evaluated as a boolean value. Once evaluated as true, then we will proceed with the value evaluation. An empty condition will be auto evaluated as true.", "type": "string" }, "value": { "type": "string", "description": "CEL expression to be evaluated as the value." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRuleLabelingCondition", "type": "object", "description": "Condition for auto-labeling conversations." }, "GoogleCloudContactcenterinsightsV1mainSilenceData": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainSilenceData", "type": "object", "description": "The data for a silence annotation." }, "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig", "type": "object", "description": "A configuration that defines how to correlate conversations for a given a given project.", "properties": { "fullConversationConfig": { "description": "The correlation type config for full conversations.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationTypeConfig" }, "createTime": { "description": "Output only. The time at which the correlation config was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "updateTime": { "description": "Output only. The time at which the correlation config was last updated.", "type": "string", "format": "google-datetime", "readOnly": true }, "name": { "description": "Immutable. Identifier. The resource name of the correlation config. Format: projects/{project}/locations/{location}/correlationConfig", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1QaQuestionTag": { "properties": { "qaQuestionIds": { "description": "Optional. The list of Scorecard Question IDs that the tag applies to. Each QaQuestionId is represented as a full resource name containing the Question ID. Lastly, Since a tag may not necessarily be referenced by any Scorecard Questions, we treat this field as optional.", "items": { "type": "string" }, "type": "array" }, "name": { "type": "string", "description": "Identifier. Resource name for the QaQuestionTag Format projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag} In the above format, the last segment, i.e., qa_question_tag, is a server-generated ID corresponding to the tag resource." }, "displayName": { "description": "Required. A user-specified display name for the tag.", "type": "string" }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the question tag was updated.", "readOnly": true }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the question tag was created." } }, "id": "GoogleCloudContactcenterinsightsV1QaQuestionTag", "type": "object", "description": "A tag is a resource which aims to categorize a set of questions across multiple scorecards, e.g., \"Customer Satisfaction\",\"Billing\", etc." }, "GoogleTypeExpr": { "description": "Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: \"Summary size limit\" description: \"Determines if a summary is less than 100 chars\" expression: \"document.summary.size() \u003c 100\" Example (Equality): title: \"Requestor is owner\" description: \"Determines if requestor is the document owner\" expression: \"document.owner == request.auth.claims.email\" Example (Logic): title: \"Public documents\" description: \"Determine whether the document should be publicly visible\" expression: \"document.type != 'private' && document.type != 'internal'\" Example (Data Manipulation): title: \"Notification string\" description: \"Create a notification string with a timestamp.\" expression: \"'New message received at ' + string(document.create_time)\" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.", "id": "GoogleTypeExpr", "type": "object", "properties": { "description": { "type": "string", "description": "Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI." }, "expression": { "type": "string", "description": "Textual representation of an expression in Common Expression Language syntax." }, "location": { "type": "string", "description": "Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file." }, "title": { "description": "Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsResponse": { "properties": {}, "description": "The response for a bulk delete conversations operation.", "id": "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue": { "properties": { "naValue": { "type": "boolean", "description": "A value of \"Not Applicable (N/A)\". Should only ever be `true`." }, "score": { "description": "Output only. Numerical score of the answer.", "type": "number", "format": "double", "readOnly": true }, "key": { "type": "string", "description": "A short string used as an identifier. Matches the value used in QaQuestion.AnswerChoice.key." }, "numValue": { "type": "number", "format": "double", "description": "Numerical value." }, "potentialScore": { "type": "number", "format": "double", "description": "Output only. The maximum potential score of the question.", "readOnly": true }, "normalizedScore": { "description": "Output only. Normalized score of the questions. Calculated as score / potential_score.", "type": "number", "format": "double", "readOnly": true }, "skipValue": { "readOnly": true, "type": "boolean", "description": "Output only. A value of \"Skip\". If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations. This would mean that the question was not evaluated." }, "strValue": { "type": "string", "description": "String value." }, "boolValue": { "description": "Boolean value.", "type": "boolean" } }, "description": "Message for holding the value of a QaAnswer. QaQuestion.AnswerChoice defines the possible answer values for a question.", "id": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPoint": { "properties": { "interval": { "description": "The interval that this data point represents. * If this is the total data point, the interval is [starting create time, ending create time) from the request. * If this a data point from the time series, the interval is [time, time + time granularity from the request).", "$ref": "GoogleTypeInterval" }, "conversationMeasure": { "description": "The measure related to conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasure" }, "dialogflowInteractionMeasure": { "description": "The measure related to dialogflow interactions.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointDialogflowInteractionMeasure" } }, "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPoint", "type": "object", "description": "A data point contains the metric values mapped to an interval." }, "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotationUserInput": { "description": "Explicit input used for generating the answer", "id": "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotationUserInput", "type": "object", "properties": { "query": { "type": "string", "description": "Query text. Article Search uses this to store the input query used to generate the search results." }, "generatorName": { "description": "The resource name of associated generator. Format: `projects//locations//generators/`", "type": "string" }, "querySource": { "description": "Query source for the answer.", "type": "string", "enumDescriptions": [ "Unknown query source.", "The query is from agents.", "The query is a query from previous suggestions, e.g. from a preceding SuggestKnowledgeAssist response." ], "enum": [ "QUERY_SOURCE_UNSPECIFIED", "AGENT_QUERY", "SUGGESTED_QUERY" ] } } }, "GoogleCloudContactcenterinsightsV1ImportIssueModelResponse": { "description": "Response from import issue model", "id": "GoogleCloudContactcenterinsightsV1ImportIssueModelResponse", "type": "object", "properties": { "issueModel": { "description": "The issue model that was imported.", "$ref": "GoogleCloudContactcenterinsightsV1IssueModel" } } }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTuningMetadata": { "description": "Metadata about the tuning operation for the question. Will only be set if a scorecard containing this question has been tuned.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTuningMetadata", "type": "object", "properties": { "totalValidLabelCount": { "description": "Total number of valid labels provided for the question at the time of tuining.", "type": "string", "format": "int64" }, "datasetValidationWarnings": { "description": "A list of any applicable data validation warnings about the question's feedback labels.", "items": { "type": "string", "enumDescriptions": [ "Unspecified data validation warning.", "A non-trivial percentage of the feedback labels are invalid.", "The quantity of valid feedback labels provided is less than the recommended minimum.", "One or more of the answers have less than the recommended minimum of feedback labels.", "All the labels in the dataset come from a single answer choice." ], "enum": [ "DATASET_VALIDATION_WARNING_UNSPECIFIED", "TOO_MANY_INVALID_FEEDBACK_LABELS", "INSUFFICIENT_FEEDBACK_LABELS", "INSUFFICIENT_FEEDBACK_LABELS_PER_ANSWER", "ALL_FEEDBACK_LABELS_HAVE_THE_SAME_ANSWER" ] }, "type": "array" }, "tuningError": { "description": "Error status of the tuning operation for the question. Will only be set if the tuning operation failed.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1DiagnoseConversationsResponse": { "properties": { "answer": { "readOnly": true, "description": "Output only. The final, high-level answer or diagnostic summary returned by the Sherlock worker.", "type": "string" }, "fullTrajectories": { "deprecated": true, "type": "array", "description": "Output only. Deprecated: Use full_trajectory_steps instead. The complete sequence of thoughts and actions (full trajectory).", "readOnly": true, "items": { "type": "string" } }, "exportUri": { "description": "Output only. If an external destination was requested, the URI of the exported data.", "type": "string", "readOnly": true }, "fullTrajectorySteps": { "description": "Output only. The complete sequence of thoughts and actions taken by the agent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SherlockStep" }, "type": "array", "readOnly": true } }, "description": "The response from a DiagnoseConversations request.", "id": "GoogleCloudContactcenterinsightsV1alpha1DiagnoseConversationsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListIssueModelsResponse": { "description": "The response of listing issue models.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListIssueModelsResponse", "type": "object", "properties": { "issueModels": { "description": "The issue models that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1DialogflowIntent": { "description": "The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE.", "id": "GoogleCloudContactcenterinsightsV1DialogflowIntent", "type": "object", "properties": { "displayName": { "type": "string", "description": "The human-readable name of the intent." } } }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag": { "description": "A tag is a resource which aims to categorize a set of questions across multiple scorecards, e.g., \"Customer Satisfaction\",\"Billing\", etc.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag", "type": "object", "properties": { "name": { "description": "Identifier. Resource name for the QaQuestionTag Format projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag} In the above format, the last segment, i.e., qa_question_tag, is a server-generated ID corresponding to the tag resource.", "type": "string" }, "qaQuestionIds": { "type": "array", "description": "Optional. The list of Scorecard Question IDs that the tag applies to. Each QaQuestionId is represented as a full resource name containing the Question ID. Lastly, Since a tag may not necessarily be referenced by any Scorecard Questions, we treat this field as optional.", "items": { "type": "string" } }, "displayName": { "type": "string", "description": "Required. A user-specified display name for the tag." }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the question tag was updated.", "readOnly": true }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which the question tag was created.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainIssueModelInputDataConfig": { "properties": { "filter": { "type": "string", "description": "A filter to reduce the conversations used for training the model to a specific subset. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details." }, "trainingConversationsCount": { "readOnly": true, "description": "Output only. Number of conversations used in training. Output only.", "type": "string", "format": "int64" }, "medium": { "deprecated": true, "type": "string", "description": "Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.", "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ] } }, "description": "Configs for the input data used to create the issue model.", "id": "GoogleCloudContactcenterinsightsV1mainIssueModelInputDataConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainSampleConversationsResponse": { "properties": {}, "description": "The response to an SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainSampleConversationsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerSource": { "properties": { "sourceType": { "type": "string", "description": "What created the answer.", "enumDescriptions": [ "Source type is unspecified.", "Answer was system-generated; created during an Insights analysis.", "Answer was created by a human via manual edit." ], "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED", "MANUAL_EDIT" ] }, "answerValue": { "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerSource", "type": "object", "description": "A question may have multiple answers from varying sources, one of which becomes the \"main\" answer above. AnswerSource represents each individual answer." }, "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequestBigQueryDestination": { "id": "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequestBigQueryDestination", "type": "object", "description": "A BigQuery Table Reference.", "properties": { "dataset": { "description": "Required. The name of the BigQuery dataset that the snapshot result should be exported to. If this dataset does not exist, the export call returns an INVALID_ARGUMENT error.", "type": "string" }, "table": { "description": "The BigQuery table name to which the insights data should be written. If this table does not exist, the export call returns an INVALID_ARGUMENT error.", "type": "string" }, "projectId": { "type": "string", "description": "A project ID or number. If specified, then export will attempt to write data to this project instead of the resource project. Otherwise, the resource project will be used." } } }, "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelMetadata": { "properties": { "request": { "description": "The original request for undeployment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelRequest" }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" } }, "description": "Metadata for undeploying an issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SmartReplyData": { "id": "GoogleCloudContactcenterinsightsV1alpha1SmartReplyData", "type": "object", "description": "Agent Assist Smart Reply data.", "properties": { "metadata": { "type": "object", "description": "Map that contains metadata about the Smart Reply and the document from which it originates.", "additionalProperties": { "type": "string" } }, "confidenceScore": { "type": "number", "format": "double", "description": "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)." }, "reply": { "description": "The content of the reply.", "type": "string" }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" } } }, "GoogleCloudContactcenterinsightsV1alpha1RedirectAction": { "description": "The redirect action to be taken when the chart is clicked.", "id": "GoogleCloudContactcenterinsightsV1alpha1RedirectAction", "type": "object", "properties": { "relativePath": { "type": "string", "description": "The relative path to redirect to." } } }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasure": { "description": "The measure related to conversations.", "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasure", "type": "object", "properties": { "dialogflowInteractionsNoInputRatio": { "description": "Proportion of dialogflow interactions that has empty input.", "type": "number", "format": "double" }, "averageSilencePercentage": { "description": "The average silence percentage.", "type": "number", "format": "float" }, "conversationalAgentsAverageLlmCallLatency": { "description": "The average latency of conversational agents' LLM call latency per interaction. This is computed as the average of the all the interactions LLM call latencies in a conversation and averaged across conversations.", "type": "number", "format": "double" }, "averageClientSentimentScore": { "type": "number", "format": "float", "description": "The average client's sentiment score." }, "conversationTotalAgentMessageCount": { "type": "integer", "format": "int32", "description": "The agent message count." }, "containedConversationRatio": { "description": "The percentage of conversations that were contained.", "type": "number", "format": "double" }, "summarizationSuggestionResultCount": { "description": "Count of summarization suggestions results.", "type": "integer", "format": "int32" }, "avgConversationClientTurnSentimentEma": { "type": "number", "format": "double", "description": "The exponential moving average of the sentiment score of client turns in the conversation." }, "dialogflowConversationsEscalationRatio": { "type": "number", "format": "double", "description": "Proportion of conversations that was handed off from virtual agent to human agent." }, "qaTagScores": { "type": "array", "description": "Average QA normalized score for all the tags.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore" } }, "averageTurnCount": { "description": "The average turn count.", "type": "number", "format": "float" }, "dialogflowWebhookTimeoutRatio": { "description": "Proportion of dialogflow webhook calls that timed out.", "type": "number", "format": "double" }, "knowledgeSearchResultCount": { "type": "integer", "format": "int32", "description": "Count of knowledge search results (Generative Knowledge Assist) shown to the user." }, "averageQaNormalizedScore": { "description": "The average normalized QA score for a scorecard. When computing the average across a set of conversations, if a conversation has been evaluated with multiple revisions of a scorecard, only the latest revision results will be used. Will exclude 0's in average calculation. Will be only populated if the request specifies a dimension of QA_SCORECARD_ID.", "type": "number", "format": "double" }, "knowledgeSearchSuggestedQuerySourceRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries suggested compared to the total number of knowledge search queries made." }, "aiCoachSuggestionMessageTriggerRatio": { "description": "Proportion of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion.", "type": "number", "format": "double" }, "aiCoachSuggestionCustomerMessageTriggerCount": { "description": "Count of customer messages that triggered an Ai Coach Suggestion.", "type": "integer", "format": "int32" }, "aiCoachSuggestionAgentUsageRatio": { "type": "number", "format": "double", "description": "Proportion of Ai Coach Suggestion that has been used by agents." }, "aiCoachSuggestionCustomerMessageTriggerRatio": { "type": "number", "format": "double", "description": "Proportion of customer messages that triggered an Ai Coach Suggestion." }, "aaSupervisorEscalatedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were escalated to an AA human supervisor for intervention." }, "aaSupervisorDroppedConversationsCount": { "description": "The number of conversations that were dropped, i.e. escalated but not assigned to an AA human supervisor.", "type": "integer", "format": "int32" }, "aaSupervisorTransferredToHumanAgentConvCount": { "description": "The number of conversations transferred to a human agent.", "type": "integer", "format": "int32" }, "dialogflowInteractionsNoMatchRatio": { "type": "number", "format": "double", "description": "Proportion of dialogflow interactions that has no intent match for the input." }, "averageQaQuestionNormalizedScore": { "type": "number", "format": "double", "description": "Average QA normalized score averaged for questions averaged across all revisions of the parent scorecard. Will be only populated if the request specifies a dimension of QA_QUESTION_ID." }, "dialogflowAverageWebhookLatency": { "description": "Average latency of dialogflow webhook calls.", "type": "number", "format": "double" }, "aiCoachSuggestionAgentUsageCount": { "description": "Count of Ai Coach Suggestion that has been used by agents.", "type": "integer", "format": "int32" }, "aiCoachSuggestionAgentMessageTriggerCount": { "type": "integer", "format": "int32", "description": "Count of agent messages that triggered an Ai Coach Suggestion." }, "conversationSuggestedSummaryRatio": { "type": "number", "format": "double", "description": "Proportion of conversations that had a suggested summary." }, "knowledgeAssistNegativeFeedbackRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had negative feedback.", "type": "number", "format": "double" }, "averageSummarizationSuggestionNormalizedEditDistance": { "description": "Normalized Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion. Normalized edit distance is the average of (edit distance / summary length).", "type": "number", "format": "double" }, "conversationCount": { "type": "integer", "format": "int32", "description": "The conversation count." }, "knowledgeAssistPositiveFeedbackRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had positive feedback.", "type": "number", "format": "double" }, "conversationAiCoachSuggestionCount": { "type": "integer", "format": "int32", "description": "Count of conversations that has Ai Coach Suggestions." }, "knowledgeSearchNegativeFeedbackRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had negative feedback.", "type": "number", "format": "double" }, "aaSupervisorMonitoredConversationsCount": { "description": "The number of conversations scanned by the AA human supervisor.", "type": "integer", "format": "int32" }, "knowledgeSearchUriClickRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had a URL clicked." }, "conversationalAgentsAverageAudioInAudioOutLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' audio in audio out latency per interaction. This is computed as the average of the all the interactions' audio in audio out latencies in a conversation and averaged across conversations." }, "knowledgeSearchPositiveFeedbackRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had positive feedback." }, "dialogflowWebhookFailureRatio": { "description": "Proportion of dialogflow webhook calls that failed.", "type": "number", "format": "double" }, "averageCustomerSatisfactionRating": { "type": "number", "format": "double", "description": "The average customer satisfaction rating." }, "aiCoachSuggestionMessageTriggerCount": { "type": "integer", "format": "int32", "description": "Count of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion." }, "averageDuration": { "type": "string", "format": "google-duration", "description": "The average duration." }, "knowledgeSearchAgentQuerySourceRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries made by the agent compared to the total number of knowledge search queries made." }, "knowledgeAssistResultCount": { "type": "integer", "format": "int32", "description": "Count of knowledge assist results (Proactive Generative Knowledge Assist) shown to the user." }, "conversationAiCoachSuggestionRatio": { "description": "Proportion of conversations that has Ai Coach Suggestions.", "type": "number", "format": "double" }, "conversationTotalCustomerMessageCount": { "description": "The customer message count.", "type": "integer", "format": "int32" }, "conversationalAgentsAverageTtsLatency": { "type": "number", "format": "double", "description": "The macro average latency of conversational agents' TTS latency per interaction. This is computed as the average of the all the interactions' TTS latencies in a conversation and averaged across conversations." }, "knowledgeAssistUriClickRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had a URL clicked." }, "summarizationSuggestionEditRatio": { "description": "Proportion of summarization suggestions that were manually edited.", "type": "number", "format": "double" }, "conversationalAgentsAverageEndToEndLatency": { "description": "The average latency of conversational agents' latency per interaction. This is computed as the average of the all the iteractions' end to end latencies in a conversation and averaged across conversations. The e2e latency is the time between the end of the user utterance and the start of the agent utterance on the interaction level.", "type": "number", "format": "double" }, "dialogflowConversationsEscalationCount": { "description": "count of conversations that was handed off from virtual agent to human agent.", "type": "number", "format": "double" }, "averageAgentSentimentScore": { "description": "The average agent's sentiment score.", "type": "number", "format": "float" }, "containedConversationCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were contained." }, "aaSupervisorAssignedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were assigned to an AA human supervisor." }, "averageSummarizationSuggestionEditDistance": { "description": "Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion.", "type": "number", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsToolDimensionMetadata": { "properties": { "toolId": { "type": "string", "description": "Optional. The dialogflow tool ID." }, "toolDisplayName": { "type": "string", "description": "Optional. The dialogflow tool display name." } }, "description": "Metadata about the Conversational Agents tool dimension.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsToolDimensionMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationLevelSentiment": { "properties": { "channelTag": { "type": "integer", "format": "int32", "description": "The channel of the audio that the data applies to." }, "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData" } }, "description": "One channel of conversation-level sentiment data.", "id": "GoogleCloudContactcenterinsightsV1mainConversationLevelSentiment", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainSampleRule": { "id": "GoogleCloudContactcenterinsightsV1mainSampleRule", "type": "object", "description": "Message for sampling conversations.", "properties": { "dimension": { "description": "Optional. Group by dimension to sample the conversation. If no dimension is provided, the sampling will be applied to the project level. Current supported dimensions is 'quality_metadata.agent_info.agent_id'.", "type": "string" }, "samplePercentage": { "description": "Percentage of conversations that we should sample based on the dimension between [0, 100].", "type": "number", "format": "double" }, "sampleRow": { "description": "Number of the conversations that we should sample based on the dimension.", "type": "string", "format": "int64" }, "conversationFilter": { "type": "string", "description": "To specify the filter for the conversions that should apply this sample rule. An empty filter means this sample rule applies to all conversations." } } }, "GoogleCloudCesV1mainToolCall": { "id": "GoogleCloudCesV1mainToolCall", "type": "object", "description": "Request for the client or the agent to execute the specified tool.", "properties": { "tool": { "type": "string", "description": "Optional. The name of the tool to execute. Format: `projects/{project}/locations/{location}/apps/{app}/tools/{tool}`" }, "displayName": { "readOnly": true, "description": "Output only. Display name of the tool.", "type": "string" }, "args": { "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "description": "Optional. The input parameters and values for the tool in JSON object format.", "type": "object" }, "id": { "description": "Optional. The unique identifier of the tool call. If populated, the client should return the execution result with the matching ID in ToolResponse.", "type": "string" }, "toolsetTool": { "description": "Optional. The toolset tool to execute.", "$ref": "GoogleCloudCesV1mainToolsetTool" } } }, "GoogleCloudContactcenterinsightsV1SentimentData": { "description": "The data for a sentiment annotation.", "id": "GoogleCloudContactcenterinsightsV1SentimentData", "type": "object", "properties": { "magnitude": { "type": "number", "format": "float", "description": "A non-negative number from 0 to infinity which represents the absolute magnitude of sentiment regardless of score." }, "score": { "description": "The sentiment score between -1.0 (negative) and 1.0 (positive).", "type": "number", "format": "float" } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasure": { "properties": { "averageQaQuestionNormalizedScore": { "type": "number", "format": "double", "description": "Average QA normalized score averaged for questions averaged across all revisions of the parent scorecard. Will be only populated if the request specifies a dimension of QA_QUESTION_ID." }, "conversationSuggestedSummaryRatio": { "description": "Proportion of conversations that had a suggested summary.", "type": "number", "format": "double" }, "dialogflowAverageWebhookLatency": { "description": "Average latency of dialogflow webhook calls.", "type": "number", "format": "double" }, "aiCoachSuggestionAgentUsageCount": { "type": "integer", "format": "int32", "description": "Count of Ai Coach Suggestion that has been used by agents." }, "aiCoachSuggestionAgentMessageTriggerCount": { "type": "integer", "format": "int32", "description": "Count of agent messages that triggered an Ai Coach Suggestion." }, "dialogflowInteractionsNoMatchRatio": { "description": "Proportion of dialogflow interactions that has no intent match for the input.", "type": "number", "format": "double" }, "aaSupervisorTransferredToHumanAgentConvCount": { "type": "integer", "format": "int32", "description": "The number of conversations transferred to a human agent." }, "knowledgeAssistNegativeFeedbackRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had negative feedback.", "type": "number", "format": "double" }, "aaSupervisorDroppedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were dropped, i.e. escalated but not assigned to an AA human supervisor." }, "aaSupervisorEscalatedConversationsCount": { "description": "The number of conversations that were escalated to an AA human supervisor for intervention.", "type": "integer", "format": "int32" }, "aiCoachSuggestionAgentUsageRatio": { "description": "Proportion of Ai Coach Suggestion that has been used by agents.", "type": "number", "format": "double" }, "aiCoachSuggestionCustomerMessageTriggerRatio": { "type": "number", "format": "double", "description": "Proportion of customer messages that triggered an Ai Coach Suggestion." }, "averageQaNormalizedScore": { "type": "number", "format": "double", "description": "The average normalized QA score for a scorecard. When computing the average across a set of conversations, if a conversation has been evaluated with multiple revisions of a scorecard, only the latest revision results will be used. Will exclude 0's in average calculation. Will be only populated if the request specifies a dimension of QA_SCORECARD_ID." }, "averageTurnCount": { "type": "number", "format": "float", "description": "The average turn count." }, "dialogflowWebhookTimeoutRatio": { "type": "number", "format": "double", "description": "Proportion of dialogflow webhook calls that timed out." }, "knowledgeSearchResultCount": { "description": "Count of knowledge search results (Generative Knowledge Assist) shown to the user.", "type": "integer", "format": "int32" }, "aiCoachSuggestionCustomerMessageTriggerCount": { "type": "integer", "format": "int32", "description": "Count of customer messages that triggered an Ai Coach Suggestion." }, "knowledgeSearchSuggestedQuerySourceRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries suggested compared to the total number of knowledge search queries made." }, "aiCoachSuggestionMessageTriggerRatio": { "type": "number", "format": "double", "description": "Proportion of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion." }, "conversationalAgentsAverageLlmCallLatency": { "description": "The average latency of conversational agents' LLM call latency per interaction. This is computed as the average of the all the interactions LLM call latencies in a conversation and averaged across conversations.", "type": "number", "format": "double" }, "averageSilencePercentage": { "description": "The average silence percentage.", "type": "number", "format": "float" }, "dialogflowInteractionsNoInputRatio": { "type": "number", "format": "double", "description": "Proportion of dialogflow interactions that has empty input." }, "qaTagScores": { "type": "array", "description": "Average QA normalized score for all the tags.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasureQaTagScore" } }, "dialogflowConversationsEscalationRatio": { "description": "Proportion of conversations that was handed off from virtual agent to human agent.", "type": "number", "format": "double" }, "containedConversationRatio": { "description": "The percentage of conversations that were contained.", "type": "number", "format": "double" }, "averageClientSentimentScore": { "description": "The average client's sentiment score.", "type": "number", "format": "float" }, "conversationTotalAgentMessageCount": { "description": "The agent message count.", "type": "integer", "format": "int32" }, "avgConversationClientTurnSentimentEma": { "type": "number", "format": "double", "description": "The exponential moving average of the sentiment score of client turns in the conversation." }, "summarizationSuggestionResultCount": { "description": "Count of summarization suggestions results.", "type": "integer", "format": "int32" }, "averageAgentSentimentScore": { "description": "The average agent's sentiment score.", "type": "number", "format": "float" }, "dialogflowConversationsEscalationCount": { "description": "count of conversations that was handed off from virtual agent to human agent.", "type": "number", "format": "double" }, "conversationalAgentsAverageEndToEndLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' latency per interaction. This is computed as the average of the all the iteractions' end to end latencies in a conversation and averaged across conversations. The e2e latency is the time between the end of the user utterance and the start of the agent utterance on the interaction level." }, "aaSupervisorAssignedConversationsCount": { "description": "The number of conversations that were assigned to an AA human supervisor.", "type": "integer", "format": "int32" }, "containedConversationCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were contained." }, "averageSummarizationSuggestionEditDistance": { "type": "number", "format": "double", "description": "Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion." }, "conversationAiCoachSuggestionRatio": { "description": "Proportion of conversations that has Ai Coach Suggestions.", "type": "number", "format": "double" }, "conversationTotalCustomerMessageCount": { "type": "integer", "format": "int32", "description": "The customer message count." }, "knowledgeAssistUriClickRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had a URL clicked.", "type": "number", "format": "double" }, "summarizationSuggestionEditRatio": { "description": "Proportion of summarization suggestions that were manually edited.", "type": "number", "format": "double" }, "conversationalAgentsAverageTtsLatency": { "type": "number", "format": "double", "description": "The macro average latency of conversational agents' TTS latency per interaction. This is computed as the average of the all the interactions' TTS latencies in a conversation and averaged across conversations." }, "knowledgeSearchPositiveFeedbackRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had positive feedback." }, "dialogflowWebhookFailureRatio": { "description": "Proportion of dialogflow webhook calls that failed.", "type": "number", "format": "double" }, "knowledgeSearchUriClickRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had a URL clicked." }, "conversationalAgentsAverageAudioInAudioOutLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' audio in audio out latency per interaction. This is computed as the average of the all the interactions' audio in audio out latencies in a conversation and averaged across conversations." }, "aaSupervisorMonitoredConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations scanned by the AA human supervisor." }, "averageDuration": { "type": "string", "format": "google-duration", "description": "The average duration." }, "knowledgeSearchAgentQuerySourceRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries made by the agent compared to the total number of knowledge search queries made.", "type": "number", "format": "double" }, "knowledgeAssistResultCount": { "type": "integer", "format": "int32", "description": "Count of knowledge assist results (Proactive Generative Knowledge Assist) shown to the user." }, "averageCustomerSatisfactionRating": { "type": "number", "format": "double", "description": "The average customer satisfaction rating." }, "aiCoachSuggestionMessageTriggerCount": { "description": "Count of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion.", "type": "integer", "format": "int32" }, "conversationCount": { "type": "integer", "format": "int32", "description": "The conversation count." }, "knowledgeAssistPositiveFeedbackRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had positive feedback.", "type": "number", "format": "double" }, "averageSummarizationSuggestionNormalizedEditDistance": { "type": "number", "format": "double", "description": "Normalized Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion. Normalized edit distance is the average of (edit distance / summary length)." }, "conversationAiCoachSuggestionCount": { "type": "integer", "format": "int32", "description": "Count of conversations that has Ai Coach Suggestions." }, "knowledgeSearchNegativeFeedbackRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had negative feedback." } }, "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasure", "type": "object", "description": "The measure related to conversations." }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest", "type": "object", "description": "The request to ingest conversations.", "properties": { "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig" }, "gcsSource": { "description": "A cloud storage bucket source. Note that any previously ingested objects from the source will be skipped to avoid duplication.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestGcsSource" }, "speechConfig": { "description": "Optional. Default Speech-to-Text configuration. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig" }, "parent": { "description": "Required. The parent resource for new conversations.", "type": "string" }, "conversationConfig": { "description": "Configuration that applies to all conversations.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestConversationConfig" }, "sampleSize": { "description": "Optional. If set, this fields indicates the number of objects to ingest from the Cloud Storage bucket. If empty, the entire bucket will be ingested. Unless they are first deleted, conversations produced through sampling won't be ingested by subsequent ingest requests.", "type": "integer", "format": "int32" }, "transcriptObjectConfig": { "description": "Configuration for when `source` contains conversation transcripts.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestTranscriptObjectConfig" } } }, "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecResponse": { "description": "The response to initialize a location-level encryption specification.", "id": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1ListDiagnosticsResponse": { "properties": { "nextPageToken": { "type": "string", "description": "Optional. A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." }, "diagnostics": { "type": "array", "description": "Optional. The diagnostics that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Diagnostic" } } }, "description": "The response from a ListDiagnostics request.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListDiagnosticsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1Chart": { "id": "GoogleCloudContactcenterinsightsV1alpha1Chart", "type": "object", "description": "Configurable dashboard's widget that displays data as a chart.", "properties": { "createTime": { "readOnly": true, "description": "Output only. Chart create time.", "type": "string", "format": "google-datetime" }, "dataSource": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ChartDataSource" }, "width": { "type": "integer", "format": "int32", "description": "The width of the chart in grid units." }, "height": { "description": "The height of the chart in grid units.", "type": "integer", "format": "int32" }, "description": { "type": "string", "description": "Chart description" }, "updateTime": { "description": "Output only. Chart last update time.", "type": "string", "format": "google-datetime", "readOnly": true }, "name": { "type": "string", "description": "Identifier. Chart resource name. Format: projects/{project}/locations/{location}/dashboards/{dashboard}/charts/{chart}" }, "chartType": { "enumDescriptions": [ "Unspecified chart type.", "Pre-defined chart type.", "Configurable chart type." ], "enum": [ "CHART_TYPE_UNSPECIFIED", "SYSTEM_DEFINED", "USER_DEFINED" ], "readOnly": true, "type": "string", "description": "Output only. Chart type." }, "action": { "description": "Optional action to be taken when the chart is clicked.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ChartAction" }, "displayName": { "type": "string", "description": "User provided display name of the chart." }, "chartVisualizationType": { "type": "string", "description": "Chart visualization type.", "enumDescriptions": [ "Unspecified chart visualization type.", "Bar chart.", "Line chart.", "Area chart.", "Pie chart.", "Scatter chart.", "Table chart.", "Score card chart.", "Sunburst chart.", "Gauge chart.", "Sankey chart." ], "enum": [ "CHART_VISUALIZATION_TYPE_UNSPECIFIED", "BAR", "LINE", "AREA", "PIE", "SCATTER", "TABLE", "SCORE_CARD", "SUNBURST", "GAUGE", "SANKEY" ] }, "filter": { "description": "Filter applied to all charts in the container. Should support scope later.", "type": "string" }, "dateRangeConfig": { "description": "Date range config applied to the chart.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig" } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponse": { "properties": { "slices": { "type": "array", "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSlice" } }, "location": { "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "type": "string" }, "updateTime": { "type": "string", "format": "google-datetime", "description": "The metrics last update time." }, "macroAverageSlice": { "description": "The macro average slice contains aggregated averages across all selected dimensions. i.e. if group_by agent and scorecard_id is specified, this field will contain the average across all agents and all scorecards. This field is only populated if the request specifies a Dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSlice" } }, "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponse", "type": "object", "description": "The response for querying metrics." }, "GoogleCloudContactcenterinsightsV1RuntimeAnnotation": { "properties": { "smartReply": { "description": "Agent Assist Smart Reply data.", "$ref": "GoogleCloudContactcenterinsightsV1SmartReplyData" }, "smartComposeSuggestion": { "description": "Agent Assist Smart Compose suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1SmartComposeSuggestionData" }, "dialogflowInteraction": { "description": "Dialogflow interaction data.", "$ref": "GoogleCloudContactcenterinsightsV1DialogflowInteractionData" }, "conversationSummarizationSuggestion": { "description": "Conversation summarization suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionData" }, "createTime": { "description": "The time at which this annotation was created.", "type": "string", "format": "google-datetime" }, "cesTurnAnnotation": { "description": "The CES turn annotation.", "$ref": "GoogleCloudContactcenterinsightsV1CesTurnAnnotation" }, "endBoundary": { "description": "The boundary in the conversation where the annotation ends, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotationBoundary" }, "cesEndSessionAnnotation": { "description": "The CES end session annotation.", "$ref": "GoogleCloudContactcenterinsightsV1CesEndSessionAnnotation" }, "startBoundary": { "description": "The boundary in the conversation where the annotation starts, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotationBoundary" }, "faqAnswer": { "description": "Agent Assist FAQ answer data.", "$ref": "GoogleCloudContactcenterinsightsV1FaqAnswerData" }, "articleSuggestion": { "description": "Agent Assist Article Suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1ArticleSuggestionData" }, "annotationId": { "type": "string", "description": "The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}" }, "answerFeedback": { "description": "The feedback that the customer has about the answer in `data`.", "$ref": "GoogleCloudContactcenterinsightsV1AnswerFeedback" }, "userInput": { "description": "Explicit input used for generating the answer", "$ref": "GoogleCloudContactcenterinsightsV1RuntimeAnnotationUserInput" } }, "description": "An annotation that was generated during the customer and agent interaction.", "id": "GoogleCloudContactcenterinsightsV1RuntimeAnnotation", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointDialogflowInteractionMeasure": { "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointDialogflowInteractionMeasure", "type": "object", "description": "The measure related to dialogflow interactions.", "properties": { "percentileAudioInAudioOutLatency": { "description": "The percentile result for audio in audio out latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" }, "percentileLlmCallLatency": { "description": "The percentile result for LLM latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" }, "percentileEndToEndLatency": { "description": "The percentile result for end to end chat latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" }, "percentileToolUseLatency": { "description": "The percentile result for tool use latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" }, "percentileTtsLatency": { "description": "The percentile result for TTS latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" } } }, "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagRequest": { "description": "The request for deleting a QaQuestionTag.", "id": "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagRequest", "type": "object", "properties": { "name": { "description": "Required. The name of the QaQuestionTag to delete.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainOutputConfigGoogleSheetsDestination": { "properties": { "spreadsheetId": { "type": "string", "description": "Optional. An existing Google Sheets ID." }, "sheet": { "type": "string", "description": "Optional. The sheet name." } }, "description": "Google Sheets destination configuration.", "id": "GoogleCloudContactcenterinsightsV1mainOutputConfigGoogleSheetsDestination", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainQaQuestionTag": { "properties": { "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the question tag was updated." }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which the question tag was created.", "readOnly": true }, "name": { "description": "Identifier. Resource name for the QaQuestionTag Format projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag} In the above format, the last segment, i.e., qa_question_tag, is a server-generated ID corresponding to the tag resource.", "type": "string" }, "qaQuestionIds": { "type": "array", "description": "Optional. The list of Scorecard Question IDs that the tag applies to. Each QaQuestionId is represented as a full resource name containing the Question ID. Lastly, Since a tag may not necessarily be referenced by any Scorecard Questions, we treat this field as optional.", "items": { "type": "string" } }, "displayName": { "description": "Required. A user-specified display name for the tag.", "type": "string" } }, "description": "A tag is a resource which aims to categorize a set of questions across multiple scorecards, e.g., \"Customer Satisfaction\",\"Billing\", etc.", "id": "GoogleCloudContactcenterinsightsV1mainQaQuestionTag", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSentiment": { "properties": { "channelTag": { "type": "integer", "format": "int32", "description": "The channel of the audio that the data applies to." }, "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSentiment", "type": "object", "description": "One channel of conversation-level sentiment data." }, "GoogleCloudContactcenterinsightsV1alpha1MetricDefinition": { "properties": { "sourceId": { "readOnly": true, "type": "string", "description": "Output only. The resource name of the underlying Insights primitive (e.g., Tag or QaQuestion) used to calculate this metric." }, "displayName": { "readOnly": true, "type": "string", "description": "Output only. The user-visible name of the metric (e.g., \"Containment Rate\")." } }, "description": "A definition for a metric to be calculated during analysis.", "id": "GoogleCloudContactcenterinsightsV1alpha1MetricDefinition", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse", "type": "object", "description": "The response for listing feedback labels.", "properties": { "nextPageToken": { "description": "The next page token.", "type": "string" }, "feedbackLabels": { "type": "array", "description": "The feedback labels that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" } } } }, "GoogleCloudContactcenterinsightsV1alpha1ListChartsResponse": { "properties": { "charts": { "type": "array", "description": "The charts under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" } }, "nextPageToken": { "type": "string", "description": "The value returned by the last `ListChartsResponse`. This value indicates that this is a continuation of a prior `ListCharts` call and that the system should return the next page of data." } }, "description": "The response of listing charts.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListChartsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue": { "properties": { "skipValue": { "readOnly": true, "description": "Output only. A value of \"Skip\". If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations. This would mean that the question was not evaluated.", "type": "boolean" }, "normalizedScore": { "readOnly": true, "description": "Output only. Normalized score of the questions. Calculated as score / potential_score.", "type": "number", "format": "double" }, "naValue": { "type": "boolean", "description": "A value of \"Not Applicable (N/A)\". Should only ever be `true`." }, "score": { "readOnly": true, "type": "number", "format": "double", "description": "Output only. Numerical score of the answer." }, "numValue": { "type": "number", "format": "double", "description": "Numerical value." }, "potentialScore": { "type": "number", "format": "double", "description": "Output only. The maximum potential score of the question.", "readOnly": true }, "key": { "type": "string", "description": "A short string used as an identifier. Matches the value used in QaQuestion.AnswerChoice.key." }, "strValue": { "type": "string", "description": "String value." }, "boolValue": { "description": "Boolean value.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue", "type": "object", "description": "Message for holding the value of a QaAnswer. QaQuestion.AnswerChoice defines the possible answer values for a question." }, "GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionData": { "id": "GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionData", "type": "object", "description": "Conversation summarization suggestion data.", "properties": { "textSections": { "additionalProperties": { "type": "string" }, "description": "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.", "type": "object" }, "answerRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "confidence": { "description": "The confidence score of the summarization.", "type": "number", "format": "float" }, "text": { "description": "The summarization content that is concatenated into one string.", "type": "string" }, "metadata": { "additionalProperties": { "type": "string" }, "type": "object", "description": "A map that contains metadata about the summarization and the document from which it originates." }, "conversationModel": { "description": "The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}", "type": "string" }, "generatorId": { "description": "Agent Assist generator ID.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionAnswerDimensionMetadata": { "properties": { "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" }, "qaQuestionId": { "type": "string", "description": "Optional. The QA question ID." }, "answerValue": { "description": "Optional. The full body of the question.", "type": "string" }, "questionBody": { "description": "Optional. The full body of the question.", "type": "string" } }, "description": "Metadata about the QA question-answer dimension. This is useful for showing the answer distribution for questions for a given scorecard.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionAnswerDimensionMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1AnalysisResult": { "properties": { "callAnalysisMetadata": { "description": "Call-specific metadata created by the analysis.", "$ref": "GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadata" }, "endTime": { "type": "string", "format": "google-datetime", "description": "The time at which the analysis ended." } }, "description": "The result of an analysis.", "id": "GoogleCloudContactcenterinsightsV1AnalysisResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1OutputConfigGcsDestination": { "properties": { "uri": { "description": "Required. The Cloud Storage URI to export the results to.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1OutputConfigGcsDestination", "type": "object", "description": "Cloud Storage destination configuration." }, "GoogleCloudContactcenterinsightsV1DiagnoseConversationsRequest": { "id": "GoogleCloudContactcenterinsightsV1DiagnoseConversationsRequest", "type": "object", "description": "The request to analyze conversation data using agentic workflows. This RPC triggers a complex analysis process that may involve several steps of reasoning and tool execution.", "properties": { "outputConfig": { "description": "Optional. The configuration for the output of the task.", "$ref": "GoogleCloudContactcenterinsightsV1OutputConfig" }, "instructions": { "description": "Optional. Specific instructions for the agent.", "type": "string" }, "validateOnly": { "type": "boolean", "description": "Optional. If true, the request will only be validated (permissions, filter syntax, etc.) without actually triggering the analysis." }, "parent": { "description": "Required. The parent resource where the analysis will be performed.", "type": "string" }, "filter": { "description": "Optional. AIP-160 compliant filter for selecting target conversations.", "type": "string" }, "fullReport": { "description": "Optional. If true, the agent will generate a full diagnostic report for all sub-agents.", "type": "boolean" }, "requestId": { "description": "Optional. Required. A unique ID that identifies the request. If the service receives two `DiagnoseConversationsRequest`s with the same `request_id`, then the second request will be ignored; instead, the response of the first request will be returned. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.", "type": "string" }, "maxSteps": { "type": "integer", "format": "int32", "description": "Optional. The maximum number of steps the agent can take during the execution of the task. Defaults to 10." }, "dryRun": { "description": "Optional. If true, the request will be validated and a simulation of the analysis will be performed without actually executing the task.", "type": "boolean" }, "taskQuery": { "type": "string", "description": "Optional. A natural language description of the analysis goal or question." }, "metricType": { "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "DIAGNOSTIC_METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ], "description": "Optional. The type of metric being diagnosed.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1AnalysisResultCallAnalysisMetadata": { "properties": { "intents": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Intent" }, "type": "object", "description": "All the matched intents in the call." }, "sentiments": { "type": "array", "description": "Overall conversation-level sentiment for each channel of the call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSentiment" } }, "silence": { "description": "Overall conversation-level silence during the call.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSilence" }, "qaScorecardResults": { "description": "Results of scoring QaScorecards.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResult" }, "type": "array" }, "issueModelResult": { "description": "Overall conversation-level issue modeling result.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelResult" }, "annotations": { "description": "A list of call annotations that apply to this call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CallAnnotation" }, "type": "array" }, "phraseMatchers": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchData" }, "description": "All the matched phrase matchers in the call.", "type": "object" }, "entities": { "description": "All the entities in the call.", "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Entity" } } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AnalysisResultCallAnalysisMetadata", "type": "object", "description": "Call-specific metadata created during analysis." }, "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewResponse": { "properties": { "summaryText": { "type": "string", "description": "The summary text of the performance." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewResponse", "type": "object", "description": "The response for querying performance overview." }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStats": { "properties": { "failedConversationsCount": { "description": "The number of conversations that failed correlation.", "type": "integer", "format": "int32" }, "correlatedConversationsCount": { "description": "The number of conversations correlated.", "type": "integer", "format": "int32" }, "conversationCorrelationErrors": { "type": "array", "description": "A list of errors that occurred during correlation, one for each conversation that failed.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError" } }, "partialErrors": { "type": "array", "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } }, "sampledConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations sampled." } }, "description": "Statistics for TestCorrelationConfig operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStats": { "properties": { "issueStats": { "description": "Statistics on each issue. Key is the issue's resource name.", "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStatsIssueStats" } }, "analyzedConversationsCount": { "description": "Number of conversations the issue model has analyzed at this point in time.", "type": "string", "format": "int64" }, "unclassifiedConversationsCount": { "description": "Number of analyzed conversations for which no issue was applicable at this point in time.", "type": "string", "format": "int64" } }, "description": "Aggregated statistics about an issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionIssueDimensionMetadata": { "properties": { "issueDisplayName": { "type": "string", "description": "The issue display name." }, "issueModelId": { "description": "The parent issue model ID.", "type": "string" }, "issueId": { "type": "string", "description": "The issue ID." } }, "description": "Metadata about the issue dimension.", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionIssueDimensionMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainAnalysisResult": { "id": "GoogleCloudContactcenterinsightsV1mainAnalysisResult", "type": "object", "description": "The result of an analysis.", "properties": { "endTime": { "description": "The time at which the analysis ended.", "type": "string", "format": "google-datetime" }, "callAnalysisMetadata": { "description": "Call-specific metadata created by the analysis.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnalysisResultCallAnalysisMetadata" } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSilence": { "properties": { "silenceDuration": { "description": "Amount of time calculated to be in silence.", "type": "string", "format": "google-duration" }, "silencePercentage": { "type": "number", "format": "float", "description": "Percentage of the total conversation spent in silence." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSilence", "type": "object", "description": "Conversation-level silence data." }, "GoogleCloudContactcenterinsightsV1IngestConversationsMetadata": { "description": "The metadata for an IngestConversations operation.", "id": "GoogleCloudContactcenterinsightsV1IngestConversationsMetadata", "type": "object", "properties": { "request": { "description": "Output only. The original request for ingest.", "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsRequest", "readOnly": true }, "partialErrors": { "type": "array", "description": "Output only. Partial errors during ingest operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "readOnly": true }, "ingestConversationsStats": { "readOnly": true, "description": "Output only. Statistics for IngestConversations operation.", "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsMetadataIngestConversationsStats" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "sampledConversations": { "readOnly": true, "type": "array", "description": "Output only. Stores the conversation resources produced by ingest sampling operations.", "items": { "type": "string" } } } }, "GoogleCloudContactcenterinsightsV1SampleConversationsMetadataSampleConversationsStats": { "properties": { "failedSampleCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The number of objects which were unable to be sampled due to errors. The errors are populated in the partial_errors field." }, "successfulSampleCount": { "type": "integer", "format": "int32", "description": "Output only. The number of new conversations added during this sample operation.", "readOnly": true } }, "description": "Statistics for SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1SampleConversationsMetadataSampleConversationsStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDimensionQaScorecardDimensionMetadata": { "properties": { "qaScorecardId": { "type": "string", "description": "Optional. The QA scorecard ID." } }, "description": "Metadata about the QA scorecard dimension.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionQaScorecardDimensionMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ScheduleInfo": { "properties": { "startTime": { "description": "Start time of the schedule. If not specified, will start as soon as the schedule is created.", "type": "string", "format": "google-datetime" }, "endTime": { "description": "End time of the schedule. If not specified, will keep scheduling new pipelines for execution util the schedule is no longer active or deleted.", "type": "string", "format": "google-datetime" }, "schedule": { "description": "The groc expression. Format: `every number [synchronized]` Time units can be: minutes, hours Synchronized is optional and indicates that the schedule should be synchronized to the start of the interval: every 5 minutes synchronized means 00:00, 00:05 ... Otherwise the start time is random within the interval. Example: `every 5 minutes` could be 00:02, 00:07, 00:12, ...", "type": "string" }, "timeZone": { "type": "string", "description": "The timezone to use for the groc expression. If not specified, defaults to UTC." } }, "description": "Message for schedule info.", "id": "GoogleCloudContactcenterinsightsV1alpha1ScheduleInfo", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SignedAudioUris": { "id": "GoogleCloudContactcenterinsightsV1alpha1SignedAudioUris", "type": "object", "description": "Signed audio URIs for a conversation.", "properties": { "signedTurnLevelAudios": { "type": "array", "description": "The signed URI for the audio corresponding to each turn in the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio" } }, "signedDialogflowAudioUri": { "type": "string", "description": "The signed URI for the audio from the Dialogflow conversation source." }, "signedGcsAudioUri": { "type": "string", "description": "The signed URI for the audio from the Cloud Storage conversation source." } } }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequest", "type": "object", "description": "The request to test correlation config.", "properties": { "filter": { "description": "Optional. Filter to select conversations to test correlation against. Conversations matching this filter will be sampled based on start time. The most recent `max_sample_count` conversations will be selected. If no conversations match the filter, the request will fail with an `INVALID_ARGUMENT` error.", "type": "string" }, "conversations": { "description": "Optional. A list of conversations to test against.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequestConversations" }, "correlationConfig": { "description": "Required. The correlation config to test.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig" }, "maxSampleCount": { "type": "integer", "format": "int32", "description": "Optional. The maximum number of conversations to sample when using the `filter`. If not set, defaults to 1000. Values greater than 1000 are coerced to 1000. This field is ignored if `conversations` is provided." } } }, "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagMetadata": { "properties": { "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagRequest" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagMetadata", "type": "object", "description": "The metadata for deleting a QaQuestionTag Resource." }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessages": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessages", "type": "object", "description": "A wrapper for system messages per turn.", "properties": { "systemMessages": { "description": "A message from the system in response to the user.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessage" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainDimensionMediumDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainDimensionMediumDimensionMetadata", "type": "object", "description": "Metadata about the conversation medium dimension.", "properties": { "medium": { "description": "Optional. The conversation medium. Currently supports : PHONE_CALL, CHAT.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsRequest": { "properties": { "filter": { "description": "Filter used to select the subset of conversations to delete.", "type": "string" }, "maxDeleteCount": { "type": "integer", "format": "int32", "description": "Maximum number of conversations to delete." }, "parent": { "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}", "type": "string" }, "force": { "type": "boolean", "description": "If set to true, all of this conversation's analyses will also be deleted. Otherwise, the request will only succeed if the conversation has no analyses." } }, "description": "The request to delete conversations in bulk.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError": { "description": "An error that occurred during correlation for a specific conversation.", "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError", "type": "object", "properties": { "status": { "description": "The error status.", "$ref": "GoogleRpcStatus" }, "conversation": { "description": "The conversation resource name that had an error during correlation.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainConversationDataSource": { "id": "GoogleCloudContactcenterinsightsV1mainConversationDataSource", "type": "object", "description": "The conversation source, which is a combination of transcript and audio.", "properties": { "gcsSource": { "description": "A Cloud Storage location specification for the audio and transcript.", "$ref": "GoogleCloudContactcenterinsightsV1mainGcsSource" }, "metadataUri": { "type": "string", "description": "Cloud Storage URI that points to a file that contains the conversation metadata." }, "turnLevelAudios": { "description": "Cloud Storage URIs that points to files that contain the conversation audio for each turn. Assume the order of the URIs is the same as the order of the transcript turns.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationDataSourceTurnLevelAudio" }, "type": "array" }, "dialogflowSource": { "description": "The source when the conversation comes from Dialogflow.", "$ref": "GoogleCloudContactcenterinsightsV1mainDialogflowSource" } } }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsResponse": { "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsResponse", "type": "object", "description": "The response to an IngestConversations operation.", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestTranscriptObjectConfig": { "properties": { "medium": { "type": "string", "description": "Required. The medium transcript objects represent.", "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ] } }, "description": "Configuration for processing transcript objects.", "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestTranscriptObjectConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionMediumDimensionMetadata": { "properties": { "medium": { "type": "string", "description": "Optional. The conversation medium. Currently supports : PHONE_CALL, CHAT." } }, "description": "Metadata about the conversation medium dimension.", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionMediumDimensionMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionQaQuestionDimensionMetadata": { "description": "Metadata about the QA question dimension.", "id": "GoogleCloudContactcenterinsightsV1DimensionQaQuestionDimensionMetadata", "type": "object", "properties": { "questionBody": { "type": "string", "description": "Optional. The full body of the question." }, "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" }, "qaQuestionId": { "type": "string", "description": "Optional. The QA question ID." } } }, "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsPlaybookDimensionMetadata": { "description": "Metadata about the Conversational Agents playbook dimension.", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsPlaybookDimensionMetadata", "type": "object", "properties": { "playbookId": { "description": "Optional. The dialogflow playbook ID.", "type": "string" }, "playbookDisplayName": { "description": "Optional. The dialogflow playbook display name.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestSheetsDestination": { "properties": { "sheetTitle": { "description": "Optional. The title of the new sheet to write the feedback labels to.", "type": "string" }, "spreadsheetUri": { "type": "string", "description": "Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA. The spreadsheet ID written to will be returned as `file_names` in the BulkDownloadFeedbackLabelsMetadata." } }, "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestSheetsDestination", "type": "object", "description": "Google Sheets document details to write the feedback labels to." }, "GoogleCloudContactcenterinsightsV1alpha1CorrelationRule": { "properties": { "ruleId": { "description": "Required. The unique identifier of the rule.", "type": "string" }, "joinKeyExpression": { "description": "Optional. A cel expression (go/cel) to be evaluated as a string value. This string value will be used as the join key for the correlation.", "type": "string" }, "constraintExpression": { "description": "Optional. A cel expression (go/cel) to be evaluated as a boolean value. Two variables conversation_a and conversation_b will be available for evaluation. This expression should evaluate to true if conversation_a and conversation_b should be joined. This is used as an extra constraint on top of the join_key_expression to further refine the group of conversations that are joined together and will be evaluated in both directions. for two conversations c1 and c2 and the result will be OR'd. We will evaluate: f(c1, c2) OR f(c2, c1)", "type": "string" }, "active": { "description": "Optional. Whether the config is active to be evaluated.", "type": "boolean" } }, "description": "A correlation rule that defines how to join conversations for a given correlation type.", "id": "GoogleCloudContactcenterinsightsV1alpha1CorrelationRule", "type": "object" }, "GoogleCloudContactcenterinsightsV1SampleConversationsRequest": { "properties": { "destinationDataset": { "description": "The dataset resource to copy the sampled conversations to.", "$ref": "GoogleCloudContactcenterinsightsV1Dataset" }, "parent": { "description": "Required. The parent resource of the dataset.", "type": "string" }, "sampleRule": { "description": "Optional. The sample rule used for sampling conversations.", "$ref": "GoogleCloudContactcenterinsightsV1SampleRule" } }, "id": "GoogleCloudContactcenterinsightsV1SampleConversationsRequest", "type": "object", "description": "The request to sample conversations to a dataset." }, "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResult": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResult", "type": "object", "description": "The result of testing correlation config on a single conversation.", "properties": { "ruleResults": { "type": "array", "description": "The results for each correlation rule.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResultRuleCorrelationResult" } }, "conversation": { "type": "string", "description": "The conversation resource name." } } }, "GoogleCloudContactcenterinsightsV1alpha1SampleRule": { "id": "GoogleCloudContactcenterinsightsV1alpha1SampleRule", "type": "object", "description": "Message for sampling conversations.", "properties": { "conversationFilter": { "description": "To specify the filter for the conversions that should apply this sample rule. An empty filter means this sample rule applies to all conversations.", "type": "string" }, "dimension": { "description": "Optional. Group by dimension to sample the conversation. If no dimension is provided, the sampling will be applied to the project level. Current supported dimensions is 'quality_metadata.agent_info.agent_id'.", "type": "string" }, "samplePercentage": { "type": "number", "format": "double", "description": "Percentage of conversations that we should sample based on the dimension between [0, 100]." }, "sampleRow": { "description": "Number of the conversations that we should sample based on the dimension.", "type": "string", "format": "int64" } } }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetrics": { "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetrics", "type": "object", "description": "Request data that use the existing QueryMetrics.", "properties": { "request": { "type": "object", "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL.", "type": "any" } } } }, "GoogleCloudContactcenterinsightsV1alpha1IssueModel": { "properties": { "displayName": { "description": "The representative name for the issue model.", "type": "string" }, "trainingStats": { "readOnly": true, "description": "Output only. Immutable. The issue model's label statistics on its training data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStats" }, "state": { "enumDescriptions": [ "Unspecified.", "Model is not deployed but is ready to deploy.", "Model is being deployed.", "Model is deployed and is ready to be used. A model can only be used in analysis if it's in this state.", "Model is being undeployed.", "Model is being deleted." ], "enum": [ "STATE_UNSPECIFIED", "UNDEPLOYED", "DEPLOYING", "DEPLOYED", "UNDEPLOYING", "DELETING" ], "readOnly": true, "type": "string", "description": "Output only. State of the model." }, "name": { "description": "Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}", "type": "string" }, "languageCode": { "type": "string", "description": "Language of the model." }, "issueCount": { "readOnly": true, "description": "Output only. Number of issues in this issue model.", "type": "string", "format": "int64" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the issue model was updated." }, "createTime": { "description": "Output only. The time at which this issue model was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "modelType": { "description": "Type of the model.", "type": "string", "enumDescriptions": [ "Unspecified model type.", "Type V1.", "Type V2." ], "enum": [ "MODEL_TYPE_UNSPECIFIED", "TYPE_V1", "TYPE_V2" ] }, "inputDataConfig": { "description": "Configs for the input data that used to create the issue model.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelInputDataConfig" } }, "description": "The issue model resource.", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModel", "type": "object" }, "GoogleCloudContactcenterinsightsV1QueryPerformanceOverviewResponse": { "properties": { "summaryText": { "description": "The summary text of the performance.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1QueryPerformanceOverviewResponse", "type": "object", "description": "The response for querying performance overview." }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessage": { "properties": { "systemMessageWrapper": { "description": "A wrapper for system messages per turn.", "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessages" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. For user messages, this is the time at which the system received the message. For system messages, this is the time at which the system generated the message.", "readOnly": true }, "userMessage": { "description": "A message from the user that is interacting with the system.", "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageUserMessage" }, "messageId": { "type": "string", "description": "The message id of the message." } }, "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessage", "type": "object", "description": "The message in the conversation." }, "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponseTextOutput": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponseTextOutput", "type": "object", "description": "Wrapper for text output.", "properties": { "textType": { "enumDescriptions": [ "The type is unspecified.", "The text is part of LLM reasoning.", "The text is the final answer from LLM.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "type": "string", "description": "The type of text output." }, "text": { "description": "The text output from the LLM.", "items": { "type": "string" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher": { "properties": { "revisionCreateTime": { "readOnly": true, "description": "Output only. The timestamp of when the revision was created. It is also the create time when a new matcher is added.", "type": "string", "format": "google-datetime" }, "activationUpdateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the activation status was updated." }, "revisionId": { "readOnly": true, "description": "Output only. Immutable. The revision ID of the phrase matcher. A new revision is committed whenever the matcher is changed, except when it is activated or deactivated. A server generated random ID will be used. Example: locations/global/phraseMatchers/my-first-matcher@1234567", "type": "string" }, "displayName": { "description": "The human-readable name of the phrase matcher.", "type": "string" }, "active": { "type": "boolean", "description": "Applies the phrase matcher only when it is active." }, "roleMatch": { "description": "The role whose utterances the phrase matcher should be matched against. If the role is ROLE_UNSPECIFIED it will be matched against any utterances in the transcript.", "type": "string", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ] }, "phraseMatchRuleGroups": { "description": "A list of phase match rule groups that are included in this matcher.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleGroup" }, "type": "array" }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the phrase matcher was updated.", "readOnly": true }, "type": { "description": "Required. The type of this phrase matcher.", "type": "string", "enumDescriptions": [ "Unspecified.", "Must meet all phrase match rule groups or there is no match.", "If any of the phrase match rule groups are met, there is a match." ], "enum": [ "PHRASE_MATCHER_TYPE_UNSPECIFIED", "ALL_OF", "ANY_OF" ] }, "name": { "description": "The resource name of the phrase matcher. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}", "type": "string" }, "versionTag": { "description": "The customized version tag to use for the phrase matcher. If not specified, it will default to `revision_id`.", "type": "string" } }, "description": "The phrase matcher resource.", "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError": { "properties": { "conversation": { "type": "string", "description": "The conversation resource name that had an error during correlation." }, "status": { "description": "The error status.", "$ref": "GoogleRpcStatus" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError", "type": "object", "description": "An error that occurred during correlation for a specific conversation." }, "GoogleCloudContactcenterinsightsV1mainLossPattern": { "id": "GoogleCloudContactcenterinsightsV1mainLossPattern", "type": "object", "description": "A loss pattern of a virtual agent and suggested fixes.", "properties": { "displayName": { "description": "Output only. The display name of the loss pattern.", "type": "string", "readOnly": true }, "conversationIds": { "description": "Output only. A list of conversation IDs that match this loss pattern.", "items": { "type": "string" }, "type": "array", "readOnly": true }, "id": { "type": "string", "description": "Output only. The unique identifier for the loss pattern.", "readOnly": true }, "percentage": { "readOnly": true, "description": "Output only. The percentage of conversations that match this loss pattern.", "type": "number", "format": "double" }, "description": { "description": "Output only. A markdown description of the loss pattern.", "type": "string", "readOnly": true }, "examples": { "readOnly": true, "type": "string", "description": "Output only. A markdown of loss pattern examples." }, "suggestedFixes": { "type": "string", "description": "Output only. A markdown description of the suggested fixes.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1DiagnoseConversationsMetadata": { "description": "Metadata for a DiagnoseConversations operation.", "id": "GoogleCloudContactcenterinsightsV1DiagnoseConversationsMetadata", "type": "object", "properties": { "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true }, "partialTrajectorySteps": { "readOnly": true, "type": "array", "description": "Output only. The intermediate trajectory updates. This can be used for live progress tracking of the agent's thoughts and actions as it works through the analysis.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1SherlockStep" } }, "partialTrajectories": { "readOnly": true, "deprecated": true, "type": "array", "description": "Output only. Deprecated: Use partial_trajectory_steps instead. The intermediate trajectory updates (partial trajectory).", "items": { "type": "string" } }, "diagnosticReport": { "description": "Output only. The diagnostic report containing metrics and intent breakdowns.", "$ref": "GoogleCloudContactcenterinsightsV1DiagnosticReport", "readOnly": true }, "metricType": { "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "DIAGNOSTIC_METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ], "readOnly": true, "description": "Output only. The type of metric being diagnosed.", "type": "string" }, "request": { "description": "Output only. The request that created the operation.", "$ref": "GoogleCloudContactcenterinsightsV1DiagnoseConversationsRequest", "readOnly": true }, "latestStep": { "description": "Output only. The most recent thought or action from the agent.", "$ref": "GoogleCloudContactcenterinsightsV1SherlockStep", "readOnly": true }, "fullReport": { "readOnly": true, "type": "boolean", "description": "Output only. If true, the agent generated a full diagnostic report for all sub-agents." } } }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleGroup": { "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleGroup", "type": "object", "description": "A message representing a rule in the phrase matcher.", "properties": { "type": { "enumDescriptions": [ "Unspecified.", "Must meet all phrase match rules or there is no match.", "If any of the phrase match rules are met, there is a match." ], "enum": [ "PHRASE_MATCH_RULE_GROUP_TYPE_UNSPECIFIED", "ALL_OF", "ANY_OF" ], "description": "Required. The type of this phrase match rule group.", "type": "string" }, "phraseMatchRules": { "description": "A list of phrase match rules that are included in this group.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRule" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentRulesResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentRulesResponse", "type": "object", "description": "The response of listing assessment rules.", "properties": { "assessmentRules": { "description": "The assessment rules that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "type": "array" }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadata": { "properties": { "sampleConversationsStats": { "description": "Output only. Statistics for SampleConversations operation.", "$ref": "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadataSampleConversationsStats", "readOnly": true }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "request": { "readOnly": true, "description": "Output only. The original request for sample conversations to dataset.", "$ref": "GoogleCloudContactcenterinsightsV1mainSampleConversationsRequest" }, "partialErrors": { "description": "Output only. Partial errors during sample conversations operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadata", "type": "object", "description": "The metadata for an SampleConversations operation." }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRule": { "properties": { "query": { "description": "Required. The phrase to be matched.", "type": "string" }, "config": { "description": "Provides additional information about the rule that specifies how to apply the rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleConfig" }, "negated": { "description": "Specifies whether the phrase must be missing from the transcript segment or present in the transcript segment.", "type": "boolean" } }, "description": "The data for a phrase match rule.", "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRule", "type": "object" }, "GoogleCloudContactcenterinsightsV1SmartComposeSuggestionData": { "id": "GoogleCloudContactcenterinsightsV1SmartComposeSuggestionData", "type": "object", "description": "Agent Assist Smart Compose suggestion data.", "properties": { "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "confidenceScore": { "type": "number", "format": "double", "description": "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)." }, "suggestion": { "description": "The content of the suggestion.", "type": "string" }, "metadata": { "type": "object", "description": "Map that contains metadata about the Smart Compose suggestion and the document from which it originates.", "additionalProperties": { "type": "string" } } } }, "GoogleCloudContactcenterinsightsV1alpha1CorrelationTypeConfig": { "properties": { "correlationRules": { "type": "array", "description": "A list of correlation rules to be evaluated for correlation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationRule" } } }, "description": "A list of correlation rules for a given correlation type.", "id": "GoogleCloudContactcenterinsightsV1alpha1CorrelationTypeConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsToolDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsToolDimensionMetadata", "type": "object", "description": "Metadata about the Conversational Agents tool dimension.", "properties": { "toolId": { "description": "Optional. The dialogflow tool ID.", "type": "string" }, "toolDisplayName": { "description": "Optional. The dialogflow tool display name.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadata": { "properties": { "phraseMatchers": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1PhraseMatchData" }, "description": "All the matched phrase matchers in the call.", "type": "object" }, "entities": { "description": "All the entities in the call.", "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1Entity" } }, "annotations": { "description": "A list of call annotations that apply to this call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1CallAnnotation" }, "type": "array" }, "issueModelResult": { "description": "Overall conversation-level issue modeling result.", "$ref": "GoogleCloudContactcenterinsightsV1IssueModelResult" }, "intents": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1Intent" }, "description": "All the matched intents in the call.", "type": "object" }, "sentiments": { "type": "array", "description": "Overall conversation-level sentiment for each channel of the call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationLevelSentiment" } }, "silence": { "description": "Overall conversation-level silence during the call.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationLevelSilence" }, "qaScorecardResults": { "description": "Results of scoring QaScorecards.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaScorecardResult" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadata", "type": "object", "description": "Call-specific metadata created during analysis." }, "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadata", "type": "object", "description": "Conversation metadata related to quality management.", "properties": { "customerSatisfactionRating": { "type": "integer", "format": "int32", "description": "An arbitrary integer value indicating the customer's satisfaction rating." }, "menuPath": { "type": "string", "description": "An arbitrary string value specifying the menu path the customer took." }, "agentInfo": { "description": "Information about agents involved in the call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadataAgentInfo" }, "type": "array" }, "waitDuration": { "description": "The amount of time the customer waited to connect with an agent.", "type": "string", "format": "google-duration" }, "feedbackLabels": { "type": "array", "description": "Input only. The feedback labels associated with the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainFeedbackLabel" } } } }, "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeries": { "description": "A time series representing conversations over time.", "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeries", "type": "object", "properties": { "intervalDuration": { "type": "string", "format": "google-duration", "description": "The duration of each interval." }, "points": { "description": "An ordered list of intervals from earliest to latest, where each interval represents the number of conversations that transpired during the time window.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeriesInterval" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1IssueModelLabelStats": { "id": "GoogleCloudContactcenterinsightsV1IssueModelLabelStats", "type": "object", "description": "Aggregated statistics about an issue model.", "properties": { "issueStats": { "description": "Statistics on each issue. Key is the issue's resource name.", "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1IssueModelLabelStatsIssueStats" } }, "analyzedConversationsCount": { "description": "Number of conversations the issue model has analyzed at this point in time.", "type": "string", "format": "int64" }, "unclassifiedConversationsCount": { "description": "Number of analyzed conversations for which no issue was applicable at this point in time.", "type": "string", "format": "int64" } } }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsResponse": { "properties": {}, "description": "Response for the BulkDownloadFeedbackLabel endpoint.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewMetadata", "type": "object", "description": "The metadata for querying performance overview.", "properties": {} }, "GoogleCloudContactcenterinsightsV1IssueModelInputDataConfig": { "properties": { "medium": { "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "deprecated": true, "type": "string", "description": "Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`." }, "trainingConversationsCount": { "readOnly": true, "type": "string", "format": "int64", "description": "Output only. Number of conversations used in training. Output only." }, "filter": { "description": "A filter to reduce the conversations used for training the model to a specific subset. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details.", "type": "string" } }, "description": "Configs for the input data used to create the issue model.", "id": "GoogleCloudContactcenterinsightsV1IssueModelInputDataConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1CreateIssueMetadata": { "id": "GoogleCloudContactcenterinsightsV1CreateIssueMetadata", "type": "object", "description": "Metadata for creating an issue.", "properties": { "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1CreateIssueRequest" }, "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" } } }, "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelResponse": { "properties": {}, "description": "Response from export issue model", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1RegexMatchConfig": { "description": "Regex match configuration.", "id": "GoogleCloudContactcenterinsightsV1alpha1RegexMatchConfig", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainConversationCallMetadata": { "description": "Call-specific metadata.", "id": "GoogleCloudContactcenterinsightsV1mainConversationCallMetadata", "type": "object", "properties": { "customerChannel": { "type": "integer", "format": "int32", "description": "The audio channel that contains the customer." }, "agentChannel": { "type": "integer", "format": "int32", "description": "The audio channel that contains the agent." } } }, "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagMetadata", "type": "object", "description": "The metadata for updating a QaQuestionTag Resource.", "properties": { "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagRequest" } } }, "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsMetadata": { "properties": { "request": { "readOnly": true, "description": "Output only. The original request for delete.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsRequest" }, "partialErrors": { "type": "array", "description": "Partial errors during deletion operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } }, "id": "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsMetadata", "type": "object", "description": "Metadata for the BulkDeleteFeedbackLabels endpoint." }, "GoogleCloudContactcenterinsightsV1alpha1CesTurnAnnotation": { "properties": { "messages": { "type": "array", "description": "The messages in the turn.", "items": { "$ref": "GoogleCloudCesV1mainMessage" } }, "rootSpan": { "description": "The root span of the action processing.", "$ref": "GoogleCloudCesV1mainSpan" } }, "description": "The CES diagnostic information.", "id": "GoogleCloudContactcenterinsightsV1alpha1CesTurnAnnotation", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationParticipant": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationParticipant", "type": "object", "description": "The call participant speaking for a given utterance.", "properties": { "dialogflowParticipant": { "description": "Deprecated. Use `dialogflow_participant_name` instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}", "deprecated": true, "type": "string" }, "role": { "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ], "type": "string", "description": "The role of the participant." }, "dialogflowParticipantName": { "description": "The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}", "type": "string" }, "userId": { "type": "string", "description": "A user-specified ID representing the participant." }, "obfuscatedExternalUserId": { "type": "string", "description": "Obfuscated user ID from Dialogflow." } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadataAgentInfo": { "properties": { "deploymentId": { "description": "The agent's deployment ID. Only applicable to automated agents.", "type": "string" }, "entrySubagentDisplayName": { "type": "string", "description": "The entry subagent's display name." }, "dispositionCode": { "type": "string", "description": "A user-provided string indicating the outcome of the agent's segment of the call." }, "team": { "deprecated": true, "type": "string", "description": "A user-specified string representing the agent's team. Deprecated in favor of the `teams` field." }, "deploymentDisplayName": { "type": "string", "description": "The agent's deployment display name. Only applicable to automated agents." }, "teams": { "description": "User-specified strings representing the agent's teams.", "items": { "type": "string" }, "type": "array" }, "agentType": { "description": "The agent type, e.g. HUMAN_AGENT.", "type": "string", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ] }, "versionDisplayName": { "description": "The agent's version display name. Only applicable to automated agents.", "type": "string" }, "versionId": { "type": "string", "description": "The agent's version ID. Only applicable to automated agents." }, "agentId": { "type": "string", "description": "A user-specified string representing the agent." }, "location": { "description": "The agent's location.", "type": "string" }, "displayName": { "type": "string", "description": "The agent's name." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadataAgentInfo", "type": "object", "description": "Information about an agent involved in the conversation." }, "GoogleCloudContactcenterinsightsV1DimensionQaScorecardDimensionMetadata": { "properties": { "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DimensionQaScorecardDimensionMetadata", "type": "object", "description": "Metadata about the QA scorecard dimension." }, "GoogleCloudContactcenterinsightsV1mainDiagnosticReport": { "properties": { "intentStats": { "readOnly": true, "type": "array", "description": "Output only. A breakdown of metrics grouped by intent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainDiagnosticReportIntentStats" } }, "lossPatterns": { "type": "array", "description": "Output only. A list of loss patterns identified for the entire project/dataset.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainLossPattern" }, "readOnly": true }, "metrics": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainMetricValue" }, "deprecated": true, "type": "object", "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics.", "readOnly": true } }, "description": "A diagnostic report containing aggregate metrics and intent breakdowns.", "id": "GoogleCloudContactcenterinsightsV1mainDiagnosticReport", "type": "object" }, "GoogleCloudContactcenterinsightsV1LossPattern": { "properties": { "id": { "description": "Output only. The unique identifier for the loss pattern.", "type": "string", "readOnly": true }, "percentage": { "readOnly": true, "type": "number", "format": "double", "description": "Output only. The percentage of conversations that match this loss pattern." }, "description": { "readOnly": true, "description": "Output only. A markdown description of the loss pattern.", "type": "string" }, "examples": { "readOnly": true, "type": "string", "description": "Output only. A markdown of loss pattern examples." }, "suggestedFixes": { "description": "Output only. A markdown description of the suggested fixes.", "type": "string", "readOnly": true }, "conversationIds": { "readOnly": true, "type": "array", "description": "Output only. A list of conversation IDs that match this loss pattern.", "items": { "type": "string" } }, "displayName": { "readOnly": true, "description": "Output only. The display name of the loss pattern.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1LossPattern", "type": "object", "description": "A loss pattern of a virtual agent and suggested fixes." }, "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionTagsResponse": { "properties": { "qaQuestionTags": { "type": "array", "description": "The parent resource of the questions.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" } }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } }, "description": "The response from a ListQaQuestionTags request.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionTagsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationLevelSilence": { "description": "Conversation-level silence data.", "id": "GoogleCloudContactcenterinsightsV1ConversationLevelSilence", "type": "object", "properties": { "silencePercentage": { "type": "number", "format": "float", "description": "Percentage of the total conversation spent in silence." }, "silenceDuration": { "type": "string", "format": "google-duration", "description": "Amount of time calculated to be in silence." } } }, "GoogleCloudCesV1mainChunk": { "properties": { "transcript": { "description": "Optional. Transcript associated with the audio.", "type": "string" }, "blob": { "description": "Optional. Blob data.", "$ref": "GoogleCloudCesV1mainBlob" }, "toolResponse": { "description": "Optional. Tool execution response.", "$ref": "GoogleCloudCesV1mainToolResponse" }, "updatedVariables": { "description": "A struct represents variables that were updated in the conversation, keyed by variable names.", "type": "object", "additionalProperties": { "description": "Properties of the object.", "type": "any" } }, "defaultVariables": { "type": "object", "description": "A struct represents default variables at the start of the conversation, keyed by variable names.", "additionalProperties": { "description": "Properties of the object.", "type": "any" } }, "text": { "type": "string", "description": "Optional. Text data." }, "toolCall": { "description": "Optional. Tool execution request.", "$ref": "GoogleCloudCesV1mainToolCall" }, "image": { "description": "Optional. Image data.", "$ref": "GoogleCloudCesV1mainImage" }, "agentTransfer": { "description": "Optional. Agent transfer event.", "$ref": "GoogleCloudCesV1mainAgentTransfer" }, "payload": { "description": "Optional. Custom payload data.", "type": "object", "additionalProperties": { "description": "Properties of the object.", "type": "any" } } }, "id": "GoogleCloudCesV1mainChunk", "type": "object", "description": "A chunk of content within a message." }, "GoogleCloudContactcenterinsightsV1SampleConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1SampleConversationsMetadata", "type": "object", "description": "The metadata for an SampleConversations operation.", "properties": { "request": { "readOnly": true, "description": "Output only. The original request for sample conversations to dataset.", "$ref": "GoogleCloudContactcenterinsightsV1SampleConversationsRequest" }, "partialErrors": { "type": "array", "description": "Output only. Partial errors during sample conversations operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "readOnly": true }, "sampleConversationsStats": { "readOnly": true, "description": "Output only. Statistics for SampleConversations operation.", "$ref": "GoogleCloudContactcenterinsightsV1SampleConversationsMetadataSampleConversationsStats" }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1alpha1DiagnoseConversationsRequest": { "description": "The request to analyze conversation data using agentic workflows. This RPC triggers a complex analysis process that may involve several steps of reasoning and tool execution.", "id": "GoogleCloudContactcenterinsightsV1alpha1DiagnoseConversationsRequest", "type": "object", "properties": { "maxSteps": { "description": "Optional. The maximum number of steps the agent can take during the execution of the task. Defaults to 10.", "type": "integer", "format": "int32" }, "requestId": { "type": "string", "description": "Optional. Required. A unique ID that identifies the request. If the service receives two `DiagnoseConversationsRequest`s with the same `request_id`, then the second request will be ignored; instead, the response of the first request will be returned. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters." }, "taskQuery": { "type": "string", "description": "Optional. A natural language description of the analysis goal or question." }, "metricType": { "type": "string", "description": "Optional. The type of metric being diagnosed.", "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "DIAGNOSTIC_METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ] }, "dryRun": { "type": "boolean", "description": "Optional. If true, the request will be validated and a simulation of the analysis will be performed without actually executing the task." }, "instructions": { "type": "string", "description": "Optional. Specific instructions for the agent." }, "validateOnly": { "description": "Optional. If true, the request will only be validated (permissions, filter syntax, etc.) without actually triggering the analysis.", "type": "boolean" }, "parent": { "type": "string", "description": "Required. The parent resource where the analysis will be performed." }, "outputConfig": { "description": "Optional. The configuration for the output of the task.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1OutputConfig" }, "filter": { "description": "Optional. AIP-160 compliant filter for selecting target conversations.", "type": "string" }, "fullReport": { "description": "Optional. If true, the agent will generate a full diagnostic report for all sub-agents.", "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequest": { "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequest", "type": "object", "description": "Request for the BulkDownloadFeedbackLabel endpoint.", "properties": { "sheetsDestination": { "description": "A sheets document destination.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestSheetsDestination" }, "conversationFilter": { "description": "Optional. Filter parent conversations to download feedback labels for. When specified, the feedback labels will be downloaded for the conversations that match the filter. If `template_qa_scorecard_id` is set, all the conversations that match the filter will be paired with the questions under the scorecard for labeling.", "type": "string" }, "templateQaScorecardId": { "type": "array", "description": "Optional. If set, a template for labeling conversations and scorecard questions will be created from the conversation_filter and the questions under the scorecard(s). The feedback label `filter` will be ignored.", "items": { "type": "string" } }, "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING" }, "maxDownloadCount": { "description": "Optional. Limits the maximum number of feedback labels that will be downloaded. The first `N` feedback labels will be downloaded.", "type": "integer", "format": "int32" }, "gcsDestination": { "description": "A cloud storage bucket destination.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestGcsDestination" }, "feedbackLabelType": { "description": "Optional. The type of feedback labels that will be downloaded.", "type": "string", "enumDescriptions": [ "Unspecified format", "Downloaded file will contain all Quality AI labels from the latest scorecard revision.", "Downloaded file will contain only Topic Modeling labels.", "Agent Assist Summarization labels." ], "enum": [ "FEEDBACK_LABEL_TYPE_UNSPECIFIED", "QUALITY_AI", "TOPIC_MODELING", "AGENT_ASSIST_SUMMARY" ] }, "parent": { "type": "string", "description": "Required. The parent resource for new feedback labels." } } }, "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResultRuleConstraintResult": { "properties": { "constraintMet": { "type": "boolean", "description": "Whether the constraint expression evaluated to true for (A, B) or (B, A)." }, "error": { "description": "The error status if the constraint expression failed to evaluate.", "$ref": "GoogleRpcStatus" }, "ruleId": { "type": "string", "description": "The rule ID." } }, "id": "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResultRuleConstraintResult", "type": "object", "description": "The result of a single constraint rule on the pair of conversations." }, "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsRequest": { "description": "The request for calculating conversation statistics.", "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsRequest", "type": "object", "properties": { "filter": { "type": "string", "description": "A filter to reduce results to a specific subset. This field is useful for getting statistics about conversations with specific properties." } } }, "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelRequest": { "description": "The request to create an issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelRequest", "type": "object", "properties": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string" }, "issueModel": { "description": "Required. The issue model to create.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" } } }, "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig", "type": "object", "description": "Date range configuration for dashboard charts.", "properties": { "relativeDateRange": { "description": "A relative date range.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfigRelativeDateRange" }, "absoluteDateRange": { "description": "An absolute date range.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryInterval" } } }, "GoogleCloudContactcenterinsightsV1alpha1UploadConversationRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1UploadConversationRequest", "type": "object", "description": "Request to upload a conversation.", "properties": { "parent": { "type": "string", "description": "Required. The parent resource of the conversation." }, "speechConfig": { "description": "Optional. Speech-to-Text configuration. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig" }, "conversationId": { "type": "string", "description": "Optional. A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`" }, "conversation": { "description": "Required. The conversation resource to create.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig" } } }, "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecResponse": { "description": "The response to initialize a location-level encryption specification.", "id": "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1QaAnswer": { "properties": { "qaQuestion": { "type": "string", "description": "The QaQuestion answered by this answer." }, "questionBody": { "description": "Question text. E.g., \"Did the agent greet the customer?\"", "type": "string" }, "answerSources": { "description": "Lists all answer sources containing one or more answer values of a specific source type, e.g., all system-generated answer sources, or all manual edit answer sources.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerSource" }, "type": "array" }, "conversation": { "type": "string", "description": "The conversation the answer applies to." }, "tags": { "type": "array", "description": "User-defined list of arbitrary tags. Matches the value from QaScorecard.ScorecardQuestion.tags. Used for grouping/organization and for weighting the score of each answer.", "items": { "type": "string" } }, "answerValue": { "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead.", "$ref": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue" } }, "id": "GoogleCloudContactcenterinsightsV1QaAnswer", "type": "object", "description": "An answer to a QaQuestion." }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsMetadata": { "properties": { "request": { "readOnly": true, "description": "Output only. The original request for delete.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest" }, "partialErrors": { "type": "array", "description": "Partial errors during deletion operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } }, "description": "Metadata for the BulkDeleteFeedbackLabels endpoint.", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainSampleConversationsRequest": { "properties": { "destinationDataset": { "description": "The dataset resource to copy the sampled conversations to.", "$ref": "GoogleCloudContactcenterinsightsV1mainDataset" }, "parent": { "type": "string", "description": "Required. The parent resource of the dataset." }, "sampleRule": { "description": "Optional. The sample rule used for sampling conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainSampleRule" } }, "id": "GoogleCloudContactcenterinsightsV1mainSampleConversationsRequest", "type": "object", "description": "The request to sample conversations to a dataset." }, "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardRevisionsResponse": { "properties": { "qaScorecardRevisions": { "description": "The QaScorecards under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "type": "array" }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } }, "description": "The response from a ListQaScorecardRevisions request.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardRevisionsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionClientSentimentCategoryDimensionMetadata": { "properties": { "sentimentCategory": { "description": "Optional. The client sentiment category.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DimensionClientSentimentCategoryDimensionMetadata", "type": "object", "description": "Metadata about the client sentiment category dimension." }, "GoogleCloudContactcenterinsightsV1mainMetricValue": { "id": "GoogleCloudContactcenterinsightsV1mainMetricValue", "deprecated": true, "type": "object", "description": "Deprecated: MetricValue is no longer used for diagnostics.", "properties": { "displayName": { "readOnly": true, "description": "Output only. The user-visible name of the metric (e.g., \"Containment Rate\").", "type": "string" }, "metricType": { "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ], "readOnly": true, "type": "string", "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics." }, "conversations": { "readOnly": true, "type": "array", "description": "Output only. The list of conversation names that contributed to this metric (hits). Format: `projects/{project}/locations/{location}/conversations/{conversation}`", "items": { "type": "string" } }, "value": { "readOnly": true, "description": "Output only. The calculated value of the metric (usually a ratio or rate 0.0 - 1.0).", "type": "number", "format": "double" }, "totalCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The total number of items evaluated for this metric." }, "hitCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The number of positive matches (hits) for this metric." }, "sourceId": { "readOnly": true, "type": "string", "description": "Output only. The resource name of the underlying Insights primitive (e.g., Tag or QaQuestion) used to calculate this metric." } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessage": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessage", "type": "object", "description": "A message from the system in response to the user. This message can also be a message from the user as historical context for multiturn conversations with the system.", "properties": { "userProvidedChartSpec": { "description": "Optional. User provided chart spec", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "generatedSqlQuery": { "type": "string", "description": "Raw SQL from LLM, before templatization" }, "chartSpec": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object", "description": "Chart spec from LLM" }, "userProvidedSqlQuery": { "type": "string", "description": "Optional. User provided SQL query" }, "textMessage": { "description": "A direct natural language response to the user message.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput" } } }, "GoogleCloudContactcenterinsightsV1alpha1DiagnosticReport": { "properties": { "lossPatterns": { "type": "array", "description": "Output only. A list of loss patterns identified for the entire project/dataset.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1LossPattern" }, "readOnly": true }, "metrics": { "readOnly": true, "deprecated": true, "type": "object", "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics.", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1MetricValue" } }, "intentStats": { "type": "array", "description": "Output only. A breakdown of metrics grouped by intent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DiagnosticReportIntentStats" }, "readOnly": true } }, "description": "A diagnostic report containing aggregate metrics and intent breakdowns.", "id": "GoogleCloudContactcenterinsightsV1alpha1DiagnosticReport", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationCallMetadata": { "properties": { "customerChannel": { "description": "The audio channel that contains the customer.", "type": "integer", "format": "int32" }, "agentChannel": { "type": "integer", "format": "int32", "description": "The audio channel that contains the agent." } }, "description": "Call-specific metadata.", "id": "GoogleCloudContactcenterinsightsV1ConversationCallMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsMetadata": { "properties": { "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." }, "partialErrors": { "description": "Partial errors during bulk delete conversations operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "createTime": { "description": "The time the operation was created.", "type": "string", "format": "google-datetime" }, "request": { "description": "The original request for bulk delete.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest" } }, "description": "The metadata for a bulk delete conversations operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationSummarizationSuggestionData": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationSummarizationSuggestionData", "type": "object", "description": "Conversation summarization suggestion data.", "properties": { "text": { "type": "string", "description": "The summarization content that is concatenated into one string." }, "metadata": { "additionalProperties": { "type": "string" }, "type": "object", "description": "A map that contains metadata about the summarization and the document from which it originates." }, "conversationModel": { "description": "The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}", "type": "string" }, "generatorId": { "description": "Agent Assist generator ID.", "type": "string" }, "textSections": { "description": "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.", "type": "object", "additionalProperties": { "type": "string" } }, "answerRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" }, "confidence": { "description": "The confidence score of the summarization.", "type": "number", "format": "float" } } }, "GoogleCloudContactcenterinsightsV1alpha1QueryInterval": { "properties": { "startTime": { "description": "Required. The start time of the time window.", "type": "string", "format": "google-datetime" }, "endTime": { "description": "Required. The end time of the time window.", "type": "string", "format": "google-datetime" } }, "description": "A time window for querying conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryInterval", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversation": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversation", "type": "object", "description": "The conversation used to generate the chart.", "properties": { "conversationId": { "type": "string", "description": "The conversation id of the chart." }, "updateTime": { "description": "The update time of the conversation.", "type": "string", "format": "google-datetime" }, "createTime": { "type": "string", "format": "google-datetime", "description": "The create time of the conversation." }, "messages": { "type": "array", "description": "Ordered list of messages, including user inputs and system responses.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessage" } } } }, "GoogleCloudContactcenterinsightsV1alpha1CreateIssueMetadata": { "properties": { "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueRequest" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueMetadata", "type": "object", "description": "Metadata for creating an issue." }, "GoogleCloudContactcenterinsightsV1alpha1ExactMatchConfig": { "properties": { "caseSensitive": { "type": "boolean", "description": "Whether to consider case sensitivity when performing an exact match." } }, "description": "Exact match configuration.", "id": "GoogleCloudContactcenterinsightsV1alpha1ExactMatchConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1ImportIssueModelRequest": { "description": "Request to import an issue model.", "id": "GoogleCloudContactcenterinsightsV1ImportIssueModelRequest", "type": "object", "properties": { "parent": { "type": "string", "description": "Required. The parent resource of the issue model." }, "gcsSource": { "description": "Google Cloud Storage source message.", "$ref": "GoogleCloudContactcenterinsightsV1ImportIssueModelRequestGcsSource" }, "createNewModel": { "type": "boolean", "description": "Optional. If set to true, will create an issue model from the imported file with randomly generated IDs for the issue model and corresponding issues. Otherwise, replaces an existing model with the same ID as the file." } } }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadata", "type": "object", "description": "Metadata for the BulkDownloadFeedbackLabel endpoint.", "properties": { "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "request": { "description": "Output only. The original request for download.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequest", "readOnly": true }, "downloadStats": { "readOnly": true, "description": "Output only. Statistics for BulkDownloadFeedbackLabels operation.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadataDownloadStats" }, "partialErrors": { "description": "Partial errors during ingest operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1FaqAnswerData": { "properties": { "answer": { "description": "The piece of text from the `source` knowledge base document.", "type": "string" }, "confidenceScore": { "description": "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).", "type": "number", "format": "float" }, "question": { "description": "The corresponding FAQ question.", "type": "string" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "metadata": { "type": "object", "description": "Map that contains metadata about the FAQ answer and the document that it originates from.", "additionalProperties": { "type": "string" } }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.", "type": "string" } }, "description": "Agent Assist frequently-asked-question answer data.", "id": "GoogleCloudContactcenterinsightsV1FaqAnswerData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestSheetsDestination": { "properties": { "spreadsheetUri": { "description": "Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA. The spreadsheet ID written to will be returned as `file_names` in the BulkDownloadFeedbackLabelsMetadata.", "type": "string" }, "sheetTitle": { "type": "string", "description": "Optional. The title of the new sheet to write the feedback labels to." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestSheetsDestination", "type": "object", "description": "Google Sheets document details to write the feedback labels to." }, "GoogleCloudContactcenterinsightsV1IngestConversationsMetadataIngestConversationsStats": { "id": "GoogleCloudContactcenterinsightsV1IngestConversationsMetadataIngestConversationsStats", "type": "object", "description": "Statistics for IngestConversations operation.", "properties": { "processedObjectCount": { "type": "integer", "format": "int32", "description": "Output only. The number of objects processed during the ingest operation.", "readOnly": true }, "duplicatesSkippedCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The number of objects skipped because another conversation with the same transcript uri had already been ingested." }, "successfulIngestCount": { "description": "Output only. The number of new conversations added during this ingest operation.", "type": "integer", "format": "int32", "readOnly": true }, "failedIngestCount": { "readOnly": true, "description": "Output only. The number of objects which were unable to be ingested due to errors. The errors are populated in the partial_errors field.", "type": "integer", "format": "int32" } } }, "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequest": { "description": "Request to export an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequest", "type": "object", "properties": { "gcsDestination": { "description": "Google Cloud Storage URI to export the issue model to.", "$ref": "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequestGcsDestination" }, "name": { "description": "Required. The issue model to export.", "type": "string" } } }, "GoogleIamV1Binding": { "properties": { "condition": { "description": "The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).", "$ref": "GoogleTypeExpr" }, "role": { "description": "Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).", "type": "string" }, "members": { "type": "array", "description": "Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.", "items": { "type": "string" } } }, "id": "GoogleIamV1Binding", "type": "object", "description": "Associates `members`, or principals, with a `role`." }, "GoogleCloudContactcenterinsightsV1mainCallAnnotation": { "id": "GoogleCloudContactcenterinsightsV1mainCallAnnotation", "type": "object", "description": "A piece of metadata that applies to a window of a call.", "properties": { "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData" }, "intentMatchData": { "description": "Data specifying an intent match.", "$ref": "GoogleCloudContactcenterinsightsV1mainIntentMatchData" }, "annotationStartBoundary": { "description": "The boundary in the conversation where the annotation starts, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary" }, "phraseMatchData": { "description": "Data specifying a phrase match.", "$ref": "GoogleCloudContactcenterinsightsV1mainPhraseMatchData" }, "channelTag": { "description": "The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.", "type": "integer", "format": "int32" }, "annotationEndBoundary": { "description": "The boundary in the conversation where the annotation ends, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary" }, "issueMatchData": { "description": "Data specifying an issue match.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueMatchData" }, "silenceData": { "description": "Data specifying silence.", "$ref": "GoogleCloudContactcenterinsightsV1mainSilenceData" }, "holdData": { "description": "Data specifying a hold.", "$ref": "GoogleCloudContactcenterinsightsV1mainHoldData" }, "entityMentionData": { "description": "Data specifying an entity mention.", "$ref": "GoogleCloudContactcenterinsightsV1mainEntityMentionData" }, "interruptionData": { "description": "Data specifying an interruption.", "$ref": "GoogleCloudContactcenterinsightsV1mainInterruptionData" } } }, "GoogleCloudContactcenterinsightsV1IssueModel": { "description": "The issue model resource.", "id": "GoogleCloudContactcenterinsightsV1IssueModel", "type": "object", "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which this issue model was created.", "readOnly": true }, "modelType": { "type": "string", "description": "Type of the model.", "enumDescriptions": [ "Unspecified model type.", "Type V1.", "Type V2." ], "enum": [ "MODEL_TYPE_UNSPECIFIED", "TYPE_V1", "TYPE_V2" ] }, "inputDataConfig": { "description": "Configs for the input data that used to create the issue model.", "$ref": "GoogleCloudContactcenterinsightsV1IssueModelInputDataConfig" }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the issue model was updated.", "readOnly": true }, "issueCount": { "type": "string", "format": "int64", "description": "Output only. Number of issues in this issue model.", "readOnly": true }, "name": { "description": "Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}", "type": "string" }, "languageCode": { "description": "Language of the model.", "type": "string" }, "state": { "enumDescriptions": [ "Unspecified.", "Model is not deployed but is ready to deploy.", "Model is being deployed.", "Model is deployed and is ready to be used. A model can only be used in analysis if it's in this state.", "Model is being undeployed.", "Model is being deleted." ], "enum": [ "STATE_UNSPECIFIED", "UNDEPLOYED", "DEPLOYING", "DEPLOYED", "UNDEPLOYING", "DELETING" ], "type": "string", "description": "Output only. State of the model.", "readOnly": true }, "trainingStats": { "description": "Output only. Immutable. The issue model's label statistics on its training data.", "$ref": "GoogleCloudContactcenterinsightsV1IssueModelLabelStats", "readOnly": true }, "displayName": { "description": "The representative name for the issue model.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainOutputConfigGcsDestination": { "properties": { "uri": { "type": "string", "description": "Required. The Cloud Storage URI to export the results to." } }, "description": "Cloud Storage destination configuration.", "id": "GoogleCloudContactcenterinsightsV1mainOutputConfigGcsDestination", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleConfig": { "properties": { "exactMatchConfig": { "description": "The configuration for the exact match rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExactMatchConfig" }, "regexMatchConfig": { "description": "The configuration for the regex match rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RegexMatchConfig" } }, "description": "Configuration information of a phrase match rule.", "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageUserMessage": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageUserMessage", "type": "object", "description": "The user message.", "properties": { "text": { "description": "A message from the user that is interacting with the system.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1UndeployQaScorecardRevisionRequest": { "properties": {}, "description": "The request to undeploy a QaScorecardRevision", "id": "GoogleCloudContactcenterinsightsV1alpha1UndeployQaScorecardRevisionRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequest": { "properties": { "conversationFilter": { "description": "Optional. Filter parent conversations to download feedback labels for. When specified, the feedback labels will be downloaded for the conversations that match the filter. If `template_qa_scorecard_id` is set, all the conversations that match the filter will be paired with the questions under the scorecard for labeling.", "type": "string" }, "templateQaScorecardId": { "type": "array", "description": "Optional. If set, a template for labeling conversations and scorecard questions will be created from the conversation_filter and the questions under the scorecard(s). The feedback label `filter` will be ignored.", "items": { "type": "string" } }, "sheetsDestination": { "description": "A sheets document destination.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestSheetsDestination" }, "gcsDestination": { "description": "A cloud storage bucket destination.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestGcsDestination" }, "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING" }, "maxDownloadCount": { "description": "Optional. Limits the maximum number of feedback labels that will be downloaded. The first `N` feedback labels will be downloaded.", "type": "integer", "format": "int32" }, "feedbackLabelType": { "description": "Optional. The type of feedback labels that will be downloaded.", "type": "string", "enumDescriptions": [ "Unspecified format", "Downloaded file will contain all Quality AI labels from the latest scorecard revision.", "Downloaded file will contain only Topic Modeling labels.", "Agent Assist Summarization labels." ], "enum": [ "FEEDBACK_LABEL_TYPE_UNSPECIFIED", "QUALITY_AI", "TOPIC_MODELING", "AGENT_ASSIST_SUMMARY" ] } }, "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequest", "type": "object", "description": "Request for the BulkDownloadFeedbackLabel endpoint." }, "GoogleCloudContactcenterinsightsV1DimensionQaQuestionAnswerDimensionMetadata": { "properties": { "answerValue": { "type": "string", "description": "Optional. The full body of the question." }, "qaScorecardId": { "type": "string", "description": "Optional. The QA scorecard ID." }, "qaQuestionId": { "description": "Optional. The QA question ID.", "type": "string" }, "questionBody": { "type": "string", "description": "Optional. The full body of the question." } }, "id": "GoogleCloudContactcenterinsightsV1DimensionQaQuestionAnswerDimensionMetadata", "type": "object", "description": "Metadata about the QA question-answer dimension. This is useful for showing the answer distribution for questions for a given scorecard." }, "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagMetadata", "type": "object", "description": "The metadata for updating a QaQuestionTag Resource.", "properties": { "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagRequest" }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainOutputConfigBigQueryDestination": { "properties": { "dataset": { "description": "Required. The name of the BigQuery dataset.", "type": "string" }, "projectId": { "description": "Optional. A project ID or number.", "type": "string" }, "table": { "description": "Required. The BigQuery table name.", "type": "string" } }, "description": "BigQuery destination configuration.", "id": "GoogleCloudContactcenterinsightsV1mainOutputConfigBigQueryDestination", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainSpeechConfig": { "properties": { "speechRecognizer": { "type": "string", "description": "The fully-qualified Speech Recognizer resource name. Format: `projects/{project_id}/locations/{location}/recognizer/{recognizer}`" }, "disableWordTimeOffsets": { "type": "boolean", "description": "Whether to disable word time offsets. If true, the `enable_word_time_offsets` field in the recognition config will be set to false." } }, "description": "Speech-to-Text configuration. Speech-to-Text settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint.", "id": "GoogleCloudContactcenterinsightsV1mainSpeechConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestConversationConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestConversationConfig", "type": "object", "description": "Configuration that applies to all conversations.", "properties": { "customerChannel": { "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed.", "type": "integer", "format": "int32" }, "agentId": { "description": "Optional. An opaque, user-specified string representing a human agent who handled all conversations in the import. Note that this will be overridden if per-conversation metadata is provided through the `metadata_bucket_uri`.", "type": "string" }, "agentChannel": { "type": "integer", "format": "int32", "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed." } } }, "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelResponse": { "properties": {}, "description": "The response to deploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequest": { "properties": { "gcsSource": { "description": "A cloud storage bucket source. Note that any previously ingested objects from the source will be skipped to avoid duplication.", "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestGcsSource" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1mainRedactionConfig" }, "transcriptObjectConfig": { "description": "Configuration for when `source` contains conversation transcripts.", "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestTranscriptObjectConfig" }, "parent": { "description": "Required. The parent resource for new conversations.", "type": "string" }, "conversationConfig": { "description": "Configuration that applies to all conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestConversationConfig" }, "sampleSize": { "type": "integer", "format": "int32", "description": "Optional. If set, this fields indicates the number of objects to ingest from the Cloud Storage bucket. If empty, the entire bucket will be ingested. Unless they are first deleted, conversations produced through sampling won't be ingested by subsequent ingest requests." }, "speechConfig": { "description": "Optional. Default Speech-to-Text configuration. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1mainSpeechConfig" } }, "description": "The request to ingest conversations.", "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsights": { "description": "Request that use natural language query to generate the chart.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsights", "type": "object", "properties": { "chartSpec": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "Chart spec for the chart.", "type": "object" }, "request": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } }, "chartConversations": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversation" }, "readOnly": true, "deprecated": true, "type": "array", "description": "Output only. The chart conversations used to generate the chart." }, "chartCheckpoint": { "description": "The chart checkpoint used to generate the chart.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartCheckpoint" }, "sqlComparisonKey": { "description": "Optional. For charts with comparison, this key will determine the metric that will be compared between the current and another dataset.", "type": "string" }, "sqlQuery": { "type": "string", "description": "SQL query used to generate the chart." } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartCheckpoint": { "properties": { "sessionId": { "type": "string", "description": "The session id of the chart." }, "revisionId": { "description": "The revision id of the chart.", "type": "string" } }, "description": "The current chart checkpoint state.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartCheckpoint", "type": "object" }, "GoogleCloudContactcenterinsightsV1IngestConversationsRequestGcsSource": { "id": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestGcsSource", "type": "object", "description": "Configuration for Cloud Storage bucket sources.", "properties": { "bucketObjectType": { "enumDescriptions": [ "The object type is unspecified and will default to `TRANSCRIPT`.", "The object is a transcript.", "The object is an audio file." ], "enum": [ "BUCKET_OBJECT_TYPE_UNSPECIFIED", "TRANSCRIPT", "AUDIO" ], "description": "Optional. Specifies the type of the objects in `bucket_uri`. Avoid passing this. This is inferred from the `transcript_bucket_uri`, `audio_bucket_uri`.", "type": "string" }, "bucketUri": { "type": "string", "description": "Optional. The Cloud Storage bucket containing source objects. Avoid passing this. Pass this through one of `transcript_bucket_uri` or `audio_bucket_uri`." }, "transcriptBucketUri": { "type": "string", "description": "Optional. The Cloud Storage path to the conversation transcripts. Note that: [1] Transcript files are expected to be in JSON format. [2] Transcript, audio, metadata files must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`." }, "audioBucketUri": { "type": "string", "description": "Optional. The Cloud Storage path to the conversation audio file. Note that: [1] Audio files will be transcribed if not already. [2] Audio files and transcript files must be in separate buckets / folders. [3] A source file and its corresponding audio file must share the same name to be properly ingested, E.g. `gs://bucket/transcript/conversation1.json` and `gs://bucket/audio/conversation1.mp3`." }, "metadataBucketUri": { "type": "string", "description": "Optional. The Cloud Storage path to the conversation metadata. Note that: [1] Metadata files are expected to be in JSON format. [2] Metadata and source files (transcripts or audio) must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`." }, "customMetadataKeys": { "type": "array", "description": "Optional. Custom keys to extract as conversation labels from metadata files in `metadata_bucket_uri`. Keys not included in this field will be ignored. Note that there is a limit of 100 labels per conversation.", "items": { "type": "string" } } } }, "GoogleCloudContactcenterinsightsV1AnnotatorSelector": { "description": "Selector of all available annotators and phrase matchers to run.", "id": "GoogleCloudContactcenterinsightsV1AnnotatorSelector", "type": "object", "properties": { "runIssueModelAnnotator": { "description": "Whether to run the issue model annotator. A model should have already been deployed for this to take effect.", "type": "boolean" }, "issueModels": { "description": "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.", "items": { "type": "string" }, "type": "array" }, "qaConfig": { "description": "Configuration for the QA annotator.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfig" }, "runSilenceAnnotator": { "type": "boolean", "description": "Whether to run the silence annotator." }, "runIntentAnnotator": { "type": "boolean", "description": "Whether to run the intent annotator." }, "phraseMatchers": { "type": "array", "description": "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}", "items": { "type": "string" } }, "runAutoLabelingAnnotator": { "description": "Optional. Whether to run the auto-labeling annotator. If true, the auto-labeling annotator will be run. This is a non-billable operation designed for fixing or backfilling custom labels.", "type": "boolean" }, "runSentimentAnnotator": { "type": "boolean", "description": "Whether to run the sentiment annotator." }, "summarizationConfig": { "description": "Configuration for the summarization annotator.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfig" }, "runInterruptionAnnotator": { "description": "Whether to run the interruption annotator.", "type": "boolean" }, "runQaAnnotator": { "type": "boolean", "description": "Whether to run the QA annotator." }, "runPhraseMatcherAnnotator": { "type": "boolean", "description": "Whether to run the active phrase matcher annotator(s)." }, "runEntityAnnotator": { "description": "Whether to run the entity annotator.", "type": "boolean" }, "runSummarizationAnnotator": { "description": "Whether to run the summarization annotator.", "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionDimensionMetadata": { "description": "Metadata about the QA question dimension.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionDimensionMetadata", "type": "object", "properties": { "questionBody": { "type": "string", "description": "Optional. The full body of the question." }, "qaScorecardId": { "type": "string", "description": "Optional. The QA scorecard ID." }, "qaQuestionId": { "description": "Optional. The QA question ID.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainCesEndSessionAnnotation": { "description": "The CES end session annotation.", "id": "GoogleCloudContactcenterinsightsV1mainCesEndSessionAnnotation", "type": "object", "properties": { "endSession": { "description": "End session signal from CES.", "$ref": "GoogleCloudCesV1mainEndSession" } } }, "GoogleCloudContactcenterinsightsV1SampleConversationsResponse": { "description": "The response to an SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1SampleConversationsResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionAnswerDimensionMetadata": { "properties": { "answerValue": { "type": "string", "description": "Optional. The full body of the question." }, "qaScorecardId": { "type": "string", "description": "Optional. The QA scorecard ID." }, "qaQuestionId": { "type": "string", "description": "Optional. The QA question ID." }, "questionBody": { "type": "string", "description": "Optional. The full body of the question." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionAnswerDimensionMetadata", "type": "object", "description": "Metadata about the QA question-answer dimension. This is useful for showing the answer distribution for questions for a given scorecard." }, "GoogleCloudContactcenterinsightsV1alpha1DialogflowInteractionData": { "description": "Dialogflow interaction data.", "id": "GoogleCloudContactcenterinsightsV1alpha1DialogflowInteractionData", "type": "object", "properties": { "dialogflowIntentId": { "type": "string", "description": "The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}" }, "confidence": { "description": "The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).", "type": "number", "format": "float" } } }, "GoogleCloudContactcenterinsightsV1alpha1Dimension": { "id": "GoogleCloudContactcenterinsightsV1alpha1Dimension", "type": "object", "description": "A dimension determines the grouping key for the query. In SQL terms, these would be part of both the \"SELECT\" and \"GROUP BY\" clauses.", "properties": { "dimensionKey": { "enumDescriptions": [ "The key of the dimension is unspecified.", "The dimension is keyed by issues.", "The dimension is keyed by issue names.", "The dimension is keyed by agents.", "The dimension is keyed by agent teams.", "The dimension is keyed by QaQuestionIds. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing stats for the same question across different scorecard revisions.", "The dimension is keyed by QaQuestionIds-Answer value pairs. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing distribution of answers per question across different scorecard revisions.", "The dimension is keyed by QaScorecardIds. Note that: We only group by the ScorecardId and not the revision-id of the scorecard. This allows for showing stats for the same scorecard across different revisions. This metric is mostly only useful if querying the average normalized score per scorecard.", "The dimension is keyed by the conversation profile ID.", "The dimension is keyed by the conversation medium.", "The dimension is keyed by the Conversational Agents playbook ID.", "The dimension is keyed by the Conversational Agents playbook display name.", "The dimension is keyed by the Conversational Agents tool ID.", "The dimension is keyed by the Conversational Agents tool display name.", "The dimension is keyed by the client sentiment category.", "The dimension is keyed by the agent version ID.", "The dimension is keyed by the agent deployment ID.", "The dimension is keyed by the supervisor ID of the assigned human supervisor for virtual agents.", "The dimension is keyed by label keys.", "The dimension is keyed by label values.", "The dimension is keyed by label key-value pairs.", "The dimension is keyed by the last transfer sub agent name." ], "enum": [ "DIMENSION_KEY_UNSPECIFIED", "ISSUE", "ISSUE_NAME", "AGENT", "AGENT_TEAM", "QA_QUESTION_ID", "QA_QUESTION_ANSWER_VALUE", "QA_SCORECARD_ID", "CONVERSATION_PROFILE_ID", "MEDIUM", "CONVERSATIONAL_AGENTS_PLAYBOOK_ID", "CONVERSATIONAL_AGENTS_PLAYBOOK_NAME", "CONVERSATIONAL_AGENTS_TOOL_ID", "CONVERSATIONAL_AGENTS_TOOL_NAME", "CLIENT_SENTIMENT_CATEGORY", "AGENT_VERSION_ID", "AGENT_DEPLOYMENT_ID", "AGENT_ASSIST_SUPERVISOR_ID", "LABEL_KEY", "LABEL_VALUE", "LABEL_KEY_AND_VALUE", "LAST_TRANSFER_SUB_AGENT_NAME" ], "type": "string", "description": "The key of the dimension." }, "qaQuestionDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the QA question dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionDimensionMetadata" }, "conversationProfileDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the conversation profile dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationProfileDimensionMetadata" }, "mediumDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the conversation medium dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionMediumDimensionMetadata" }, "conversationalAgentsPlaybookDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the Conversational Agents playbook dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsPlaybookDimensionMetadata" }, "issueDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the issue dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionIssueDimensionMetadata" }, "conversationalAgentsToolDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the Conversational Agents tool dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsToolDimensionMetadata" }, "agentDimensionMetadata": { "description": "Output only. Metadata about the agent dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionAgentDimensionMetadata", "readOnly": true }, "clientSentimentCategoryDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the client sentiment category dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionClientSentimentCategoryDimensionMetadata" }, "qaScorecardDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the QA scorecard dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaScorecardDimensionMetadata" }, "qaQuestionAnswerDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the QA question-answer dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionAnswerDimensionMetadata" }, "labelDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about conversation labels.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionLabelDimensionMetadata" } } }, "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecRequest": { "properties": { "encryptionSpec": { "description": "Required. The encryption spec used for CMEK encryption. It is required that the kms key is in the same region as the endpoint. The same key will be used for all provisioned resources, if encryption is available. If the `kms_key_name` field is left empty, no encryption will be enforced.", "$ref": "GoogleCloudContactcenterinsightsV1mainEncryptionSpec" } }, "id": "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecRequest", "type": "object", "description": "The request to initialize a location-level encryption specification." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasure": { "properties": { "aaSupervisorDroppedConversationsCount": { "description": "The number of conversations that were dropped, i.e. escalated but not assigned to an AA human supervisor.", "type": "integer", "format": "int32" }, "aaSupervisorEscalatedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were escalated to an AA human supervisor for intervention." }, "aiCoachSuggestionAgentUsageRatio": { "type": "number", "format": "double", "description": "Proportion of Ai Coach Suggestion that has been used by agents." }, "aiCoachSuggestionCustomerMessageTriggerRatio": { "description": "Proportion of customer messages that triggered an Ai Coach Suggestion.", "type": "number", "format": "double" }, "knowledgeAssistNegativeFeedbackRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had negative feedback." }, "averageQaQuestionNormalizedScore": { "description": "Average QA normalized score averaged for questions averaged across all revisions of the parent scorecard. Will be only populated if the request specifies a dimension of QA_QUESTION_ID.", "type": "number", "format": "double" }, "conversationSuggestedSummaryRatio": { "type": "number", "format": "double", "description": "Proportion of conversations that had a suggested summary." }, "dialogflowAverageWebhookLatency": { "description": "Average latency of dialogflow webhook calls.", "type": "number", "format": "double" }, "aiCoachSuggestionAgentUsageCount": { "description": "Count of Ai Coach Suggestion that has been used by agents.", "type": "integer", "format": "int32" }, "aiCoachSuggestionAgentMessageTriggerCount": { "description": "Count of agent messages that triggered an Ai Coach Suggestion.", "type": "integer", "format": "int32" }, "dialogflowInteractionsNoMatchRatio": { "description": "Proportion of dialogflow interactions that has no intent match for the input.", "type": "number", "format": "double" }, "aaSupervisorTransferredToHumanAgentConvCount": { "description": "The number of conversations transferred to a human agent.", "type": "integer", "format": "int32" }, "qaTagScores": { "description": "Average QA normalized score for all the tags.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore" }, "type": "array" }, "dialogflowConversationsEscalationRatio": { "type": "number", "format": "double", "description": "Proportion of conversations that was handed off from virtual agent to human agent." }, "containedConversationRatio": { "description": "The percentage of conversations that were contained.", "type": "number", "format": "double" }, "averageClientSentimentScore": { "description": "The average client's sentiment score.", "type": "number", "format": "float" }, "conversationTotalAgentMessageCount": { "description": "The agent message count.", "type": "integer", "format": "int32" }, "avgConversationClientTurnSentimentEma": { "description": "The exponential moving average of the sentiment score of client turns in the conversation.", "type": "number", "format": "double" }, "summarizationSuggestionResultCount": { "type": "integer", "format": "int32", "description": "Count of summarization suggestions results." }, "conversationalAgentsAverageLlmCallLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' LLM call latency per interaction. This is computed as the average of the all the interactions LLM call latencies in a conversation and averaged across conversations." }, "averageSilencePercentage": { "type": "number", "format": "float", "description": "The average silence percentage." }, "dialogflowInteractionsNoInputRatio": { "type": "number", "format": "double", "description": "Proportion of dialogflow interactions that has empty input." }, "aiCoachSuggestionCustomerMessageTriggerCount": { "type": "integer", "format": "int32", "description": "Count of customer messages that triggered an Ai Coach Suggestion." }, "knowledgeSearchSuggestedQuerySourceRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries suggested compared to the total number of knowledge search queries made." }, "aiCoachSuggestionMessageTriggerRatio": { "description": "Proportion of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion.", "type": "number", "format": "double" }, "averageQaNormalizedScore": { "type": "number", "format": "double", "description": "The average normalized QA score for a scorecard. When computing the average across a set of conversations, if a conversation has been evaluated with multiple revisions of a scorecard, only the latest revision results will be used. Will exclude 0's in average calculation. Will be only populated if the request specifies a dimension of QA_SCORECARD_ID." }, "averageTurnCount": { "description": "The average turn count.", "type": "number", "format": "float" }, "dialogflowWebhookTimeoutRatio": { "description": "Proportion of dialogflow webhook calls that timed out.", "type": "number", "format": "double" }, "knowledgeSearchResultCount": { "description": "Count of knowledge search results (Generative Knowledge Assist) shown to the user.", "type": "integer", "format": "int32" }, "knowledgeAssistUriClickRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had a URL clicked.", "type": "number", "format": "double" }, "summarizationSuggestionEditRatio": { "description": "Proportion of summarization suggestions that were manually edited.", "type": "number", "format": "double" }, "conversationalAgentsAverageTtsLatency": { "description": "The macro average latency of conversational agents' TTS latency per interaction. This is computed as the average of the all the interactions' TTS latencies in a conversation and averaged across conversations.", "type": "number", "format": "double" }, "conversationAiCoachSuggestionRatio": { "description": "Proportion of conversations that has Ai Coach Suggestions.", "type": "number", "format": "double" }, "conversationTotalCustomerMessageCount": { "type": "integer", "format": "int32", "description": "The customer message count." }, "aaSupervisorAssignedConversationsCount": { "description": "The number of conversations that were assigned to an AA human supervisor.", "type": "integer", "format": "int32" }, "containedConversationCount": { "description": "The number of conversations that were contained.", "type": "integer", "format": "int32" }, "averageSummarizationSuggestionEditDistance": { "type": "number", "format": "double", "description": "Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion." }, "averageAgentSentimentScore": { "type": "number", "format": "float", "description": "The average agent's sentiment score." }, "dialogflowConversationsEscalationCount": { "description": "count of conversations that was handed off from virtual agent to human agent.", "type": "number", "format": "double" }, "conversationalAgentsAverageEndToEndLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' latency per interaction. This is computed as the average of the all the iteractions' end to end latencies in a conversation and averaged across conversations. The e2e latency is the time between the end of the user utterance and the start of the agent utterance on the interaction level." }, "conversationAiCoachSuggestionCount": { "description": "Count of conversations that has Ai Coach Suggestions.", "type": "integer", "format": "int32" }, "knowledgeSearchNegativeFeedbackRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had negative feedback." }, "conversationCount": { "type": "integer", "format": "int32", "description": "The conversation count." }, "knowledgeAssistPositiveFeedbackRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had positive feedback.", "type": "number", "format": "double" }, "averageSummarizationSuggestionNormalizedEditDistance": { "description": "Normalized Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion. Normalized edit distance is the average of (edit distance / summary length).", "type": "number", "format": "double" }, "averageDuration": { "description": "The average duration.", "type": "string", "format": "google-duration" }, "knowledgeSearchAgentQuerySourceRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries made by the agent compared to the total number of knowledge search queries made.", "type": "number", "format": "double" }, "knowledgeAssistResultCount": { "description": "Count of knowledge assist results (Proactive Generative Knowledge Assist) shown to the user.", "type": "integer", "format": "int32" }, "averageCustomerSatisfactionRating": { "description": "The average customer satisfaction rating.", "type": "number", "format": "double" }, "aiCoachSuggestionMessageTriggerCount": { "type": "integer", "format": "int32", "description": "Count of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion." }, "knowledgeSearchPositiveFeedbackRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had positive feedback.", "type": "number", "format": "double" }, "dialogflowWebhookFailureRatio": { "description": "Proportion of dialogflow webhook calls that failed.", "type": "number", "format": "double" }, "knowledgeSearchUriClickRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had a URL clicked.", "type": "number", "format": "double" }, "conversationalAgentsAverageAudioInAudioOutLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' audio in audio out latency per interaction. This is computed as the average of the all the interactions' audio in audio out latencies in a conversation and averaged across conversations." }, "aaSupervisorMonitoredConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations scanned by the AA human supervisor." } }, "description": "The measure related to conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasure", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsMetadata", "type": "object", "description": "Metadata for the BulkDeleteFeedbackLabels endpoint.", "properties": { "request": { "description": "Output only. The original request for delete.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsRequest", "readOnly": true }, "partialErrors": { "type": "array", "description": "Partial errors during deletion operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } } }, "GoogleCloudContactcenterinsightsV1SmartReplyData": { "id": "GoogleCloudContactcenterinsightsV1SmartReplyData", "type": "object", "description": "Agent Assist Smart Reply data.", "properties": { "metadata": { "additionalProperties": { "type": "string" }, "description": "Map that contains metadata about the Smart Reply and the document from which it originates.", "type": "object" }, "reply": { "description": "The content of the reply.", "type": "string" }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" }, "confidenceScore": { "description": "The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain).", "type": "number", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1mainListAllFeedbackLabelsResponse": { "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "feedbackLabels": { "description": "The feedback labels that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainFeedbackLabel" }, "type": "array" } }, "description": "The response for listing all feedback labels.", "id": "GoogleCloudContactcenterinsightsV1mainListAllFeedbackLabelsResponse", "type": "object" }, "GoogleCloudCesV1mainSpan": { "properties": { "name": { "readOnly": true, "description": "Output only. The name of the span.", "type": "string" }, "duration": { "description": "Output only. The duration of the span.", "type": "string", "format": "google-duration", "readOnly": true }, "childSpans": { "description": "Output only. The child spans that are nested under this span.", "items": { "$ref": "GoogleCloudCesV1mainSpan" }, "type": "array", "readOnly": true }, "startTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The start time of the span." }, "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The end time of the span." }, "attributes": { "readOnly": true, "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object", "description": "Output only. Key-value attributes associated with the span." } }, "description": "A span is a unit of work or a single operation during the request processing.", "id": "GoogleCloudCesV1mainSpan", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequestGcsDestination": { "description": "Google Cloud Storage Object URI to save the issue model to.", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequestGcsDestination", "type": "object", "properties": { "objectUri": { "type": "string", "description": "Required. Format: `gs:///`" } } }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponse": { "properties": { "slices": { "type": "array", "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSlice" } }, "location": { "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "type": "string" }, "updateTime": { "description": "The metrics last update time.", "type": "string", "format": "google-datetime" }, "macroAverageSlice": { "description": "The macro average slice contains aggregated averages across all selected dimensions. i.e. if group_by agent and scorecard_id is specified, this field will contain the average across all agents and all scorecards. This field is only populated if the request specifies a Dimension.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSlice" } }, "description": "The response for querying metrics.", "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest", "type": "object", "description": "The request to delete conversations in bulk.", "properties": { "filter": { "description": "Filter used to select the subset of conversations to delete.", "type": "string" }, "maxDeleteCount": { "type": "integer", "format": "int32", "description": "Maximum number of conversations to delete." }, "parent": { "type": "string", "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}" }, "force": { "type": "boolean", "description": "If set to true, all of this conversation's analyses will also be deleted. Otherwise, the request will only succeed if the conversation has no analyses." } } }, "GoogleCloudContactcenterinsightsV1Conversation": { "description": "The conversation resource.", "id": "GoogleCloudContactcenterinsightsV1Conversation", "type": "object", "properties": { "updateTime": { "readOnly": true, "description": "Output only. The most recent time at which the conversation was updated.", "type": "string", "format": "google-datetime" }, "transcript": { "description": "Output only. The conversation transcript.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscript", "readOnly": true }, "turnCount": { "description": "Output only. The number of turns in the conversation.", "type": "integer", "format": "int32", "readOnly": true }, "duration": { "type": "string", "format": "google-duration", "description": "Output only. The duration of the conversation.", "readOnly": true }, "name": { "description": "Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}", "type": "string" }, "runtimeAnnotations": { "description": "Output only. The annotations that were generated during the customer and agent interaction.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1RuntimeAnnotation" }, "type": "array", "readOnly": true }, "qualityMetadata": { "description": "Conversation metadata related to quality management.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationQualityMetadata" }, "latestSummary": { "readOnly": true, "description": "Output only. Latest summary of the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionData" }, "obfuscatedUserId": { "type": "string", "description": "Obfuscated user ID which the customer sent to us." }, "ttl": { "description": "Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.", "type": "string", "format": "google-duration" }, "agentId": { "type": "string", "description": "An opaque, user-specified string representing the human agent who handled the conversation." }, "medium": { "description": "Immutable. The conversation medium.", "type": "string", "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ] }, "expireTime": { "type": "string", "format": "google-datetime", "description": "The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted." }, "labels": { "additionalProperties": { "type": "string" }, "description": "A map for the user to specify any custom fields. A maximum of 100 labels per conversation is allowed, with a maximum of 256 characters per entry.", "type": "object" }, "dataSource": { "description": "The source of the audio and transcription for the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationDataSource" }, "createTime": { "readOnly": true, "description": "Output only. The time at which the conversation was created.", "type": "string", "format": "google-datetime" }, "languageCode": { "type": "string", "description": "A user-specified language code for the conversation." }, "correlationInfo": { "readOnly": true, "description": "Output only. Info for correlating across conversations.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationCorrelationInfo" }, "dialogflowIntents": { "readOnly": true, "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1DialogflowIntent" }, "description": "Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}", "type": "object" }, "startTime": { "type": "string", "format": "google-datetime", "description": "The time at which the conversation started." }, "callMetadata": { "description": "Call-specific metadata.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationCallMetadata" }, "latestAnalysis": { "description": "Output only. The conversation's latest analysis, if one exists.", "$ref": "GoogleCloudContactcenterinsightsV1Analysis", "readOnly": true }, "metadataJson": { "type": "string", "description": "Input only. JSON metadata encoded as a string. This field is primarily used by Insights integrations with various telephony systems and must be in one of Insight's supported formats." } } }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadata": { "properties": { "partialErrors": { "type": "array", "description": "Output only. Partial errors during ingest operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "readOnly": true }, "request": { "description": "Output only. The original request for ingest.", "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequest", "readOnly": true }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "sampledConversations": { "readOnly": true, "description": "Output only. Stores the conversation resources produced by ingest sampling operations.", "items": { "type": "string" }, "type": "array" }, "ingestConversationsStats": { "readOnly": true, "description": "Output only. Statistics for IngestConversations operation.", "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadataIngestConversationsStats" } }, "description": "The metadata for an IngestConversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegment": { "properties": { "text": { "type": "string", "description": "The text of this segment." }, "languageCode": { "description": "The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: \"en-US\".", "type": "string" }, "turnLevelAudio": { "description": "Turn level audio for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio" }, "confidence": { "type": "number", "format": "float", "description": "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." }, "messageTime": { "type": "string", "format": "google-datetime", "description": "The time that the message occurred, if provided." }, "segmentParticipant": { "description": "The participant of this segment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationParticipant" }, "channelTag": { "type": "integer", "format": "int32", "description": "For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono." }, "words": { "type": "array", "description": "A list of the word-specific information for each word in the segment.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentWordInfo" } }, "dialogflowSegmentMetadata": { "description": "CCAI metadata relating to the current transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata" }, "sentiment": { "description": "The sentiment for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData" } }, "description": "A segment of a full transcript.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegment", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSlice": { "properties": { "total": { "description": "The total metric value. The interval of this data point is [starting create time, ending create time) from the request.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPoint" }, "timeSeries": { "description": "A time series of metric values. This is only populated if the request specifies a time granularity other than NONE.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceTimeSeries" }, "dimensions": { "description": "A unique combination of dimensions that this slice represents.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dimension" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSlice", "type": "object", "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request. For example, if the request specifies a single ISSUE dimension and it has a cardinality of 2 (i.e. the data used to compute the metrics has 2 issues in total), the response will have 2 slices: * Slice 1 -\u003e dimensions=[Issue 1] * Slice 2 -\u003e dimensions=[Issue 2]" }, "GoogleCloudContactcenterinsightsV1IngestConversationsResponse": { "id": "GoogleCloudContactcenterinsightsV1IngestConversationsResponse", "type": "object", "description": "The response to an IngestConversations operation.", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestGcsSource": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestGcsSource", "type": "object", "description": "Google Cloud Storage Object details to get the feedback label file from.", "properties": { "format": { "type": "string", "description": "Required. File format which will be ingested.", "enumDescriptions": [ "Unspecified format.", "CSV format.", "JSON format." ], "enum": [ "FORMAT_UNSPECIFIED", "CSV", "JSON" ] }, "objectUri": { "description": "Required. The Google Cloud Storage URI of the file to import. Format: `gs://bucket_name/object_name`", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1DiagnosticReportIntentStats": { "description": "A breakdown of metrics grouped by intent.", "id": "GoogleCloudContactcenterinsightsV1DiagnosticReportIntentStats", "type": "object", "properties": { "conversationCount": { "readOnly": true, "description": "Output only. The number of conversations associated with this intent.", "type": "integer", "format": "int32" }, "lossPatterns": { "description": "Output only. A list of loss patterns identified for this intent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1LossPattern" }, "type": "array", "readOnly": true }, "intentId": { "readOnly": true, "type": "string", "description": "Output only. The unique identifier for the intent (from Discovery Engine)." }, "metrics": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1MetricValue" }, "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics.", "deprecated": true, "type": "object", "readOnly": true }, "intentDisplayName": { "description": "Output only. The display name of the intent.", "type": "string", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsResponse": { "description": "Response for the BulkDeleteFeedbackLabels endpoint.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscript": { "properties": { "createTime": { "description": "Output only. The create time of the conversation.", "type": "string", "format": "google-datetime", "readOnly": true }, "messages": { "description": "Ordered list of messages, including user inputs and system responses.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessage" }, "type": "array" }, "conversationId": { "type": "string", "description": "The conversation id of the chart." }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The update time of the conversation." } }, "description": "The conversation transcript for the chart.", "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscript", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfo": { "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfo", "type": "object", "description": "Word-level info for words in a transcript.", "properties": { "startOffset": { "description": "Time offset of the start of this word relative to the beginning of the total conversation.", "type": "string", "format": "google-duration" }, "endOffset": { "type": "string", "format": "google-duration", "description": "Time offset of the end of this word relative to the beginning of the total conversation." }, "word": { "type": "string", "description": "The word itself. Includes punctuation marks that surround the word." }, "confidence": { "type": "number", "format": "float", "description": "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." } } }, "GoogleCloudContactcenterinsightsV1mainDimension": { "properties": { "dimensionKey": { "description": "The key of the dimension.", "type": "string", "enumDescriptions": [ "The key of the dimension is unspecified.", "The dimension is keyed by issues.", "The dimension is keyed by issue names.", "The dimension is keyed by agents.", "The dimension is keyed by agent teams.", "The dimension is keyed by QaQuestionIds. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing stats for the same question across different scorecard revisions.", "The dimension is keyed by QaQuestionIds-Answer value pairs. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing distribution of answers per question across different scorecard revisions.", "The dimension is keyed by QaScorecardIds. Note that: We only group by the ScorecardId and not the revision-id of the scorecard. This allows for showing stats for the same scorecard across different revisions. This metric is mostly only useful if querying the average normalized score per scorecard.", "The dimension is keyed by the conversation profile ID.", "The dimension is keyed by the conversation medium.", "The dimension is keyed by the Conversational Agents playbook ID.", "The dimension is keyed by the Conversational Agents playbook display name.", "The dimension is keyed by the Conversational Agents tool ID.", "The dimension is keyed by the Conversational Agents tool display name.", "The dimension is keyed by the client sentiment category.", "The dimension is keyed by the agent version ID.", "The dimension is keyed by the agent deployment ID.", "The dimension is keyed by the supervisor ID of the assigned human supervisor for virtual agents.", "The dimension is keyed by label keys.", "The dimension is keyed by label values.", "The dimension is keyed by label key-value pairs.", "The dimension is keyed by the last transfer sub agent name." ], "enum": [ "DIMENSION_KEY_UNSPECIFIED", "ISSUE", "ISSUE_NAME", "AGENT", "AGENT_TEAM", "QA_QUESTION_ID", "QA_QUESTION_ANSWER_VALUE", "QA_SCORECARD_ID", "CONVERSATION_PROFILE_ID", "MEDIUM", "CONVERSATIONAL_AGENTS_PLAYBOOK_ID", "CONVERSATIONAL_AGENTS_PLAYBOOK_NAME", "CONVERSATIONAL_AGENTS_TOOL_ID", "CONVERSATIONAL_AGENTS_TOOL_NAME", "CLIENT_SENTIMENT_CATEGORY", "AGENT_VERSION_ID", "AGENT_DEPLOYMENT_ID", "AGENT_ASSIST_SUPERVISOR_ID", "LABEL_KEY", "LABEL_VALUE", "LABEL_KEY_AND_VALUE", "LAST_TRANSFER_SUB_AGENT_NAME" ] }, "qaQuestionDimensionMetadata": { "description": "Output only. Metadata about the QA question dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionDimensionMetadata", "readOnly": true }, "conversationProfileDimensionMetadata": { "description": "Output only. Metadata about the conversation profile dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionConversationProfileDimensionMetadata", "readOnly": true }, "mediumDimensionMetadata": { "description": "Output only. Metadata about the conversation medium dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionMediumDimensionMetadata", "readOnly": true }, "conversationalAgentsPlaybookDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the Conversational Agents playbook dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsPlaybookDimensionMetadata" }, "issueDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the issue dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionIssueDimensionMetadata" }, "agentDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the agent dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionAgentDimensionMetadata" }, "clientSentimentCategoryDimensionMetadata": { "description": "Output only. Metadata about the client sentiment category dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionClientSentimentCategoryDimensionMetadata", "readOnly": true }, "conversationalAgentsToolDimensionMetadata": { "description": "Output only. Metadata about the Conversational Agents tool dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsToolDimensionMetadata", "readOnly": true }, "qaQuestionAnswerDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the QA question-answer dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionAnswerDimensionMetadata" }, "labelDimensionMetadata": { "description": "Output only. Metadata about conversation labels.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionLabelDimensionMetadata", "readOnly": true }, "qaScorecardDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the QA scorecard dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionQaScorecardDimensionMetadata" } }, "id": "GoogleCloudContactcenterinsightsV1mainDimension", "type": "object", "description": "A dimension determines the grouping key for the query. In SQL terms, these would be part of both the \"SELECT\" and \"GROUP BY\" clauses." }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequest": { "properties": { "gcsDestination": { "description": "A cloud storage bucket destination.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestGcsDestination" }, "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING" }, "maxDownloadCount": { "description": "Optional. Limits the maximum number of feedback labels that will be downloaded. The first `N` feedback labels will be downloaded.", "type": "integer", "format": "int32" }, "conversationFilter": { "description": "Optional. Filter parent conversations to download feedback labels for. When specified, the feedback labels will be downloaded for the conversations that match the filter. If `template_qa_scorecard_id` is set, all the conversations that match the filter will be paired with the questions under the scorecard for labeling.", "type": "string" }, "templateQaScorecardId": { "description": "Optional. If set, a template for labeling conversations and scorecard questions will be created from the conversation_filter and the questions under the scorecard(s). The feedback label `filter` will be ignored.", "items": { "type": "string" }, "type": "array" }, "sheetsDestination": { "description": "A sheets document destination.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestSheetsDestination" }, "parent": { "type": "string", "description": "Required. The parent resource for new feedback labels." }, "feedbackLabelType": { "enumDescriptions": [ "Unspecified format", "Downloaded file will contain all Quality AI labels from the latest scorecard revision.", "Downloaded file will contain only Topic Modeling labels.", "Agent Assist Summarization labels." ], "enum": [ "FEEDBACK_LABEL_TYPE_UNSPECIFIED", "QUALITY_AI", "TOPIC_MODELING", "AGENT_ASSIST_SUMMARY" ], "description": "Optional. The type of feedback labels that will be downloaded.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequest", "type": "object", "description": "Request for the BulkDownloadFeedbackLabel endpoint." }, "GoogleCloudContactcenterinsightsV1mainConversationDataSourceTurnLevelAudio": { "properties": { "audioGcsUri": { "description": "The Cloud Storage URI of the audio for any given turn.", "type": "string" }, "audioDuration": { "type": "string", "format": "google-duration", "description": "The duration of the audio." } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationDataSourceTurnLevelAudio", "type": "object", "description": "A wrapper for holding the audio for any given turn." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsMetadata", "type": "object", "description": "The metadata from querying metrics.", "properties": { "resultIsTruncated": { "description": "Whether the result rows were truncated because the result row size is too large to materialize.", "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1DialogflowSource": { "properties": { "dialogflowConversation": { "readOnly": true, "type": "string", "description": "Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}" }, "audioUri": { "type": "string", "description": "Cloud Storage URI that points to a file that contains the conversation audio." } }, "description": "A Dialogflow source of conversation data.", "id": "GoogleCloudContactcenterinsightsV1DialogflowSource", "type": "object" }, "GoogleCloudCesV1mainEndSession": { "id": "GoogleCloudCesV1mainEndSession", "type": "object", "description": "Indicates the session has terminated, due to either successful completion (e.g. user says \"Good bye!\" ) or an agent escalation. The agent will not process any further inputs after session is terminated and the client should half-close and disconnect after receiving all remaining responses from the agent.", "properties": { "metadata": { "description": "Optional. Provides additional information about the end session signal, such as the reason for ending the session.", "type": "object", "additionalProperties": { "description": "Properties of the object.", "type": "any" } } } }, "GoogleCloudContactcenterinsightsV1mainFaqAnswerData": { "properties": { "question": { "description": "The corresponding FAQ question.", "type": "string" }, "answer": { "type": "string", "description": "The piece of text from the `source` knowledge base document." }, "confidenceScore": { "type": "number", "format": "float", "description": "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": { "type": "object", "description": "Map that contains metadata about the FAQ answer and the document that it originates from.", "additionalProperties": { "type": "string" } }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.", "type": "string" }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" } }, "description": "Agent Assist frequently-asked-question answer data.", "id": "GoogleCloudContactcenterinsightsV1mainFaqAnswerData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfigRelativeDateRange": { "id": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfigRelativeDateRange", "type": "object", "description": "Relative date range configuration.", "properties": { "quantity": { "description": "Required. The quantity of units in the past.", "type": "string", "format": "int64" }, "unit": { "enumDescriptions": [ "Unspecified.", "Day.", "Week.", "Month.", "Quarter.", "Year." ], "enum": [ "TIME_UNIT_UNSPECIFIED", "DAY", "WEEK", "MONTH", "QUARTER", "YEAR" ], "type": "string", "description": "Required. The unit of time." } } }, "GoogleCloudContactcenterinsightsV1alpha1ListPhraseMatchersResponse": { "description": "The response of listing phrase matchers.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListPhraseMatchersResponse", "type": "object", "properties": { "phraseMatchers": { "description": "The phrase matchers that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "type": "array" }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } } }, "GoogleCloudContactcenterinsightsV1Analysis": { "description": "The analysis resource.", "id": "GoogleCloudContactcenterinsightsV1Analysis", "type": "object", "properties": { "requestTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the analysis was requested." }, "analysisResult": { "readOnly": true, "description": "Output only. The result of the analysis, which is populated when the analysis finishes.", "$ref": "GoogleCloudContactcenterinsightsV1AnalysisResult" }, "createTime": { "description": "Output only. The time at which the analysis was created, which occurs when the long-running operation completes.", "type": "string", "format": "google-datetime", "readOnly": true }, "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelector" }, "name": { "type": "string", "description": "Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}" } } }, "GoogleCloudContactcenterinsightsV1mainDialogflowInteractionData": { "id": "GoogleCloudContactcenterinsightsV1mainDialogflowInteractionData", "type": "object", "description": "Dialogflow interaction data.", "properties": { "dialogflowIntentId": { "type": "string", "description": "The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}" }, "confidence": { "description": "The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).", "type": "number", "format": "float" } } }, "GoogleLongrunningOperation": { "description": "This resource represents a long-running operation that is the result of a network API call.", "id": "GoogleLongrunningOperation", "type": "object", "properties": { "done": { "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", "type": "boolean" }, "error": { "description": "The error result of the operation in case of failure or cancellation.", "$ref": "GoogleRpcStatus" }, "metadata": { "type": "object", "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL.", "type": "any" } }, "response": { "type": "object", "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL.", "type": "any" } }, "name": { "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule": { "properties": { "active": { "description": "If true, apply this rule to conversations. Otherwise, this rule is inactive and saved as a draft.", "type": "boolean" }, "updateTime": { "description": "Output only. The most recent time at which this analysis rule was updated.", "type": "string", "format": "google-datetime", "readOnly": true }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which this analysis rule was created.", "readOnly": true }, "annotatorSelector": { "description": "Selector of annotators to run and the phrase matchers to use for conversations that matches the conversation_filter. If not specified, NO annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector" }, "name": { "type": "string", "description": "Identifier. The resource name of the analysis rule. Format: projects/{project}/locations/{location}/analysisRules/{analysis_rule}" }, "analysisPercentage": { "description": "Percentage of conversations that we should apply this analysis setting automatically, between [0, 1]. For example, 0.1 means 10%. Conversations are sampled in a determenestic way. The original runtime_percentage & upload percentage will be replaced by defining filters on the conversation.", "type": "number", "format": "double" }, "conversationFilter": { "type": "string", "description": "Filter for the conversations that should apply this analysis rule. An empty filter means this analysis rule applies to all conversations. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details." }, "displayName": { "description": "Display Name of the analysis rule.", "type": "string" } }, "description": "The CCAI Insights project wide analysis rule. This rule will be applied to all conversations that match the filter defined in the rule. For a conversation matches the filter, the annotators specified in the rule will be run. If a conversation matches multiple rules, a union of all the annotators will be run. One project can have multiple analysis rules.", "id": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1Note": { "id": "GoogleCloudContactcenterinsightsV1alpha1Note", "type": "object", "description": "The conversation assessment note resource.", "properties": { "createTime": { "readOnly": true, "description": "Output only. The time at which the note was created.", "type": "string", "format": "google-datetime" }, "assessmentNote": { "description": "The note is associated to the entire parent assessment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1NoteAssessmentNote" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the note was last updated." }, "noteCreator": { "readOnly": true, "description": "Output only. The user that created the note.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1UserInfo" }, "qaQuestionNote": { "description": "The note is associated with a QA question in one of the conversation's scorecard results.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1NoteQaQuestionNote" }, "content": { "description": "The note content.", "type": "string" }, "conversationTurnNote": { "description": "The note is associated with a conversation turn.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1NoteConversationTurnNote" }, "name": { "type": "string", "description": "Identifier. The resource name of the note. Format: projects/{project}/locations/{location}/conversations/{conversation}/assessments/{assessment}/notes/{note}" } } }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadata": { "properties": { "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "dataset": { "type": "string", "description": "The dataset used for sampling conversations." }, "stats": { "description": "The statistics for the operation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStats" } }, "description": "Metadata for testing correlation config.", "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1ExportInsightsDataResponse": { "properties": {}, "description": "Response for an export insights operation.", "id": "GoogleCloudContactcenterinsightsV1ExportInsightsDataResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DialogflowIntent": { "properties": { "displayName": { "description": "The human-readable name of the intent.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1DialogflowIntent", "type": "object", "description": "The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE." }, "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagRequest": { "properties": { "qaQuestionTag": { "description": "Required. The QaQuestionTag to update.", "$ref": "GoogleCloudContactcenterinsightsV1mainQaQuestionTag" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `qa_question_tag_name` - the name of the tag * `qa_question_ids` - the list of questions the tag applies to" } }, "id": "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagRequest", "type": "object", "description": "The request for updating a QaQuestionTag." }, "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequest": { "properties": { "parent": { "type": "string", "description": "Required. The parent resource to export data from." }, "kmsKey": { "description": "A fully qualified KMS key name for BigQuery tables protected by CMEK. Format: projects/{project}/locations/{location}/keyRings/{keyring}/cryptoKeys/{key}/cryptoKeyVersions/{version}", "type": "string" }, "writeDisposition": { "description": "Options for what to do if the destination table already exists.", "type": "string", "enumDescriptions": [ "Write disposition is not specified. Defaults to WRITE_TRUNCATE.", "If the table already exists, BigQuery will overwrite the table data and use the schema from the load.", "If the table already exists, BigQuery will append data to the table." ], "enum": [ "WRITE_DISPOSITION_UNSPECIFIED", "WRITE_TRUNCATE", "WRITE_APPEND" ] }, "exportSchemaVersion": { "enumDescriptions": [ "Unspecified. Defaults to EXPORT_V3.", "Export schema version 1.", "Export schema version 2.", "Export schema version 3.", "Export schema version 4.", "Export schema version 5.", "Export schema version 6.", "Export schema version 7.", "Export schema version 8.", "Export schema version 9.", "Export schema version 10.", "Export schema version 11.", "Export schema version 12.", "Export schema version 13.", "Export schema version 14.", "Export schema version 15.", "Export schema version 16.", "Export schema version 17.", "Export schema version latest available." ], "enum": [ "EXPORT_SCHEMA_VERSION_UNSPECIFIED", "EXPORT_V1", "EXPORT_V2", "EXPORT_V3", "EXPORT_V4", "EXPORT_V5", "EXPORT_V6", "EXPORT_V7", "EXPORT_V8", "EXPORT_V9", "EXPORT_V10", "EXPORT_V11", "EXPORT_V12", "EXPORT_V13", "EXPORT_V14", "EXPORT_V15", "EXPORT_V16", "EXPORT_V17", "EXPORT_VERSION_LATEST_AVAILABLE" ], "description": "Optional. Version of the export schema.", "type": "string" }, "filter": { "description": "A filter to reduce results to a specific subset. Useful for exporting conversations with specific properties.", "type": "string" }, "bigQueryDestination": { "description": "Specified if sink is a BigQuery table.", "$ref": "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequestBigQueryDestination" } }, "id": "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequest", "type": "object", "description": "The request to export insights." }, "GoogleCloudContactcenterinsightsV1mainCreateIssueMetadata": { "properties": { "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1mainCreateIssueRequest" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" } }, "id": "GoogleCloudContactcenterinsightsV1mainCreateIssueMetadata", "type": "object", "description": "Metadata for creating an issue." }, "GoogleCloudContactcenterinsightsV1ExportIssueModelMetadata": { "properties": { "createTime": { "description": "The time the operation was created.", "type": "string", "format": "google-datetime" }, "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." }, "request": { "description": "The original export request.", "$ref": "GoogleCloudContactcenterinsightsV1ExportIssueModelRequest" } }, "description": "Metadata used for export issue model.", "id": "GoogleCloudContactcenterinsightsV1ExportIssueModelMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestSheetsSource": { "properties": { "spreadsheetUri": { "description": "Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestSheetsSource", "type": "object", "description": "Google Sheets document details to get the feedback label file from." }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestConversationConfig": { "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestConversationConfig", "type": "object", "description": "Configuration that applies to all conversations.", "properties": { "customerChannel": { "type": "integer", "format": "int32", "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed." }, "agentId": { "description": "Optional. An opaque, user-specified string representing a human agent who handled all conversations in the import. Note that this will be overridden if per-conversation metadata is provided through the `metadata_bucket_uri`.", "type": "string" }, "agentChannel": { "type": "integer", "format": "int32", "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed." } } }, "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResult": { "description": "The result of testing a constraint expression on a pair of conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResult", "type": "object", "properties": { "conversationA": { "type": "string", "description": "The first conversation resource name." }, "conversationB": { "type": "string", "description": "The second conversation resource name." }, "ruleConstraintResults": { "description": "The results for each applicable constraint rule.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResultRuleConstraintResult" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1DeleteIssueModelMetadata": { "description": "Metadata for deleting an issue model.", "id": "GoogleCloudContactcenterinsightsV1DeleteIssueModelMetadata", "type": "object", "properties": { "request": { "description": "The original request for deletion.", "$ref": "GoogleCloudContactcenterinsightsV1DeleteIssueModelRequest" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" } } }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult": { "properties": { "p99": { "description": "The 99th percentile value.", "type": "number", "format": "double" }, "p50": { "description": "The 50th percentile value.", "type": "number", "format": "double" }, "p90": { "type": "number", "format": "double", "description": "The 90th percentile value." } }, "description": "The percentile result. Currently supported percentiles are 50th, 90th, and 99th.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponse": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponse", "type": "object", "description": "The response for generative insights.", "properties": { "generativeResponses": { "type": "array", "description": "The full list of generative responses. Each response is ordered by time.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponse" } }, "transcript": { "description": "The transcript of the generative insights conversation.", "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscript" } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentWordInfo": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentWordInfo", "type": "object", "description": "Word-level info for words in a transcript.", "properties": { "startOffset": { "type": "string", "format": "google-duration", "description": "Time offset of the start of this word relative to the beginning of the total conversation." }, "endOffset": { "description": "Time offset of the end of this word relative to the beginning of the total conversation.", "type": "string", "format": "google-duration" }, "word": { "description": "The word itself. Includes punctuation marks that surround the word.", "type": "string" }, "confidence": { "type": "number", "format": "float", "description": "A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset." } } }, "GoogleCloudContactcenterinsightsV1DimensionConversationProfileDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1DimensionConversationProfileDimensionMetadata", "type": "object", "description": "Metadata about the conversation profile dimension.", "properties": { "conversationProfileId": { "type": "string", "description": "Optional. The conversation profile ID." } } }, "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequest": { "properties": { "filter": { "type": "string", "description": "Optional. Filter to select a subset of conversations to compute the performance overview. Supports the same filters as the filter field in QueryMetricsRequest. The source and query interval/comparison query interval should not be included here." }, "queryInterval": { "description": "Required. The time window of the conversations to derive performance stats from.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryInterval" }, "agentPerformanceSource": { "description": "Conversations are from a single agent.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequestAgentSource" }, "comparisonQueryInterval": { "description": "The time window of the conversations to compare the performance to.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryInterval" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequest", "type": "object", "description": "The request for summarizing performance according to different metrics for conversations over a specified time window." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPoint": { "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPoint", "type": "object", "description": "A data point contains the metric values mapped to an interval.", "properties": { "conversationMeasure": { "description": "The measure related to conversations.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasure" }, "interval": { "description": "The interval that this data point represents. * If this is the total data point, the interval is [starting create time, ending create time) from the request. * If this a data point from the time series, the interval is [time, time + time granularity from the request).", "$ref": "GoogleTypeInterval" }, "dialogflowInteractionMeasure": { "description": "The measure related to dialogflow interactions.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure" } } }, "GoogleCloudContactcenterinsightsV1mainConversationSummarizationSuggestionData": { "properties": { "conversationModel": { "type": "string", "description": "The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}" }, "text": { "type": "string", "description": "The summarization content that is concatenated into one string." }, "metadata": { "description": "A map that contains metadata about the summarization and the document from which it originates.", "type": "object", "additionalProperties": { "type": "string" } }, "generatorId": { "description": "Agent Assist generator ID.", "type": "string" }, "answerRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "textSections": { "type": "object", "description": "The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.", "additionalProperties": { "type": "string" } }, "confidence": { "description": "The confidence score of the summarization.", "type": "number", "format": "float" } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationSummarizationSuggestionData", "type": "object", "description": "Conversation summarization suggestion data." }, "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest": { "properties": { "parent": { "type": "string", "description": "Required. The parent resource of the dataset." }, "sampleRule": { "description": "Optional. The sample rule used for sampling conversations.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleRule" }, "destinationDataset": { "description": "The dataset resource to copy the sampled conversations to.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" } }, "description": "The request to sample conversations to a dataset.", "id": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainEncryptionSpec": { "properties": { "name": { "description": "Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec", "type": "string" }, "kmsKey": { "description": "Required. The name of customer-managed encryption key that is used to secure a resource and its sub-resources. If empty, the resource is secured by our default encryption key. Only the key in the same location as this resource is allowed to be used for encryption. Format: `projects/{project}/locations/{location}/keyRings/{keyRing}/cryptoKeys/{key}`", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainEncryptionSpec", "type": "object", "description": "A customer-managed encryption key specification that can be applied to all created resources (e.g. `Conversation`)." }, "GoogleCloudContactcenterinsightsV1Dimension": { "properties": { "qaQuestionDimensionMetadata": { "description": "Output only. Metadata about the QA question dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionQaQuestionDimensionMetadata", "readOnly": true }, "conversationProfileDimensionMetadata": { "description": "Output only. Metadata about the conversation profile dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionConversationProfileDimensionMetadata", "readOnly": true }, "mediumDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the conversation medium dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionMediumDimensionMetadata" }, "conversationalAgentsPlaybookDimensionMetadata": { "description": "Output only. Metadata about the Conversational Agents playbook dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsPlaybookDimensionMetadata", "readOnly": true }, "dimensionKey": { "enumDescriptions": [ "The key of the dimension is unspecified.", "The dimension is keyed by issues.", "The dimension is keyed by issue names.", "The dimension is keyed by agents.", "The dimension is keyed by agent teams.", "The dimension is keyed by QaQuestionIds. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing stats for the same question across different scorecard revisions.", "The dimension is keyed by QaQuestionIds-Answer value pairs. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing distribution of answers per question across different scorecard revisions.", "The dimension is keyed by QaScorecardIds. Note that: We only group by the ScorecardId and not the revision-id of the scorecard. This allows for showing stats for the same scorecard across different revisions. This metric is mostly only useful if querying the average normalized score per scorecard.", "The dimension is keyed by the conversation profile ID.", "The dimension is keyed by the conversation medium.", "The dimension is keyed by the Conversational Agents playbook ID.", "The dimension is keyed by the Conversational Agents playbook display name.", "The dimension is keyed by the Conversational Agents tool ID.", "The dimension is keyed by the Conversational Agents tool display name.", "The dimension is keyed by the client sentiment category.", "The dimension is keyed by the agent version ID.", "The dimension is keyed by the agent deployment ID.", "The dimension is keyed by the supervisor ID of the assigned human supervisor for virtual agents.", "The dimension is keyed by label keys.", "The dimension is keyed by label values.", "The dimension is keyed by label key-value pairs.", "The dimension is keyed by the last transfer sub agent name." ], "enum": [ "DIMENSION_KEY_UNSPECIFIED", "ISSUE", "ISSUE_NAME", "AGENT", "AGENT_TEAM", "QA_QUESTION_ID", "QA_QUESTION_ANSWER_VALUE", "QA_SCORECARD_ID", "CONVERSATION_PROFILE_ID", "MEDIUM", "CONVERSATIONAL_AGENTS_PLAYBOOK_ID", "CONVERSATIONAL_AGENTS_PLAYBOOK_NAME", "CONVERSATIONAL_AGENTS_TOOL_ID", "CONVERSATIONAL_AGENTS_TOOL_NAME", "CLIENT_SENTIMENT_CATEGORY", "AGENT_VERSION_ID", "AGENT_DEPLOYMENT_ID", "AGENT_ASSIST_SUPERVISOR_ID", "LABEL_KEY", "LABEL_VALUE", "LABEL_KEY_AND_VALUE", "LAST_TRANSFER_SUB_AGENT_NAME" ], "description": "The key of the dimension.", "type": "string" }, "issueDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the issue dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionIssueDimensionMetadata" }, "clientSentimentCategoryDimensionMetadata": { "description": "Output only. Metadata about the client sentiment category dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionClientSentimentCategoryDimensionMetadata", "readOnly": true }, "agentDimensionMetadata": { "description": "Output only. Metadata about the agent dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionAgentDimensionMetadata", "readOnly": true }, "conversationalAgentsToolDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the Conversational Agents tool dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsToolDimensionMetadata" }, "labelDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about conversation labels.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionLabelDimensionMetadata" }, "qaQuestionAnswerDimensionMetadata": { "description": "Output only. Metadata about the QA question-answer dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionQaQuestionAnswerDimensionMetadata", "readOnly": true }, "qaScorecardDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the QA scorecard dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionQaScorecardDimensionMetadata" } }, "id": "GoogleCloudContactcenterinsightsV1Dimension", "type": "object", "description": "A dimension determines the grouping key for the query. In SQL terms, these would be part of both the \"SELECT\" and \"GROUP BY\" clauses." }, "GoogleCloudContactcenterinsightsV1ConversationTranscript": { "id": "GoogleCloudContactcenterinsightsV1ConversationTranscript", "type": "object", "description": "A message representing the transcript of a conversation.", "properties": { "transcriptSegments": { "type": "array", "description": "A list of sequential transcript segments that comprise the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegment" } } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasureQaTagScore": { "properties": { "tag": { "type": "string", "description": "Tag name." }, "averageTagNormalizedScore": { "description": "Average tag normalized score per tag.", "type": "number", "format": "double" } }, "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasureQaTagScore", "type": "object", "description": "Average QA normalized score for the tag." }, "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecRequest": { "description": "The request to initialize a location-level encryption specification.", "id": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecRequest", "type": "object", "properties": { "encryptionSpec": { "description": "Required. The encryption spec used for CMEK encryption. It is required that the kms key is in the same region as the endpoint. The same key will be used for all provisioned resources, if encryption is available. If the `kms_key_name` field is left empty, no encryption will be enforced.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1EncryptionSpec" } } }, "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestGcsDestination": { "description": "Google Cloud Storage Object details to write the feedback labels to.", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestGcsDestination", "type": "object", "properties": { "objectUri": { "type": "string", "description": "Required. The Google Cloud Storage URI to write the feedback labels to. The file name will be used as a prefix for the files written to the bucket if the output needs to be split across multiple files, otherwise it will be used as is. The file extension will be appended to the file name based on the format selected. E.g. `gs://bucket_name/object_uri_prefix`" }, "addWhitespace": { "description": "Optional. Add whitespace to the JSON file. Makes easier to read, but increases file size. Only applicable for JSON format.", "type": "boolean" }, "alwaysPrintEmptyFields": { "description": "Optional. Always print fields with no presence. This is useful for printing fields that are not set, like implicit 0 value or empty lists/maps. Only applicable for JSON format.", "type": "boolean" }, "recordsPerFileCount": { "type": "string", "format": "int64", "description": "Optional. The number of records per file. Applicable for either format." }, "format": { "enumDescriptions": [ "Unspecified format.", "CSV format. 1,000 labels are stored per CSV file by default.", "JSON format. 1 label stored per JSON file by default." ], "enum": [ "FORMAT_UNSPECIFIED", "CSV", "JSON" ], "type": "string", "description": "Required. File format in which the labels will be exported." } } }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessageTextOutput": { "properties": { "text": { "type": "array", "description": "The parts of the message.", "items": { "type": "string" } }, "textType": { "enumDescriptions": [ "The default text type.", "The text is a thinking plan generated by the thinking tool.", "The text is a final response to the user question.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "description": "The type of the text message.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessageTextOutput", "type": "object", "description": "A text output message from the system." }, "GoogleCloudContactcenterinsightsV1alpha1SherlockStep": { "properties": { "toolCalls": { "type": "array", "description": "Output only. The tool call issued by the agent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ToolCall" }, "readOnly": true }, "toolOutput": { "description": "Output only. The output response from the tool execution.", "type": "object", "readOnly": true, "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "textInput": { "description": "Output only. Natural language input stimulus.", "items": { "type": "string" }, "type": "array", "readOnly": true }, "thought": { "readOnly": true, "type": "string", "description": "Output only. The reasoning or internal monologue of the agent." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SherlockStep", "type": "object", "description": "A step in the agent's reasoning process (Trajectory Step)." }, "GoogleCloudContactcenterinsightsV1mainQaScorecardResult": { "description": "The results of scoring a single conversation against a QaScorecard. Contains a collection of QaAnswers and aggregate score.", "id": "GoogleCloudContactcenterinsightsV1mainQaScorecardResult", "type": "object", "properties": { "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score, which is the score divided by the potential score. Any manual edits are included if they exist." }, "scoreSources": { "description": "List of all individual score sets.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultScoreSource" }, "type": "array" }, "agentId": { "type": "string", "description": "ID of the agent that handled the conversation." }, "qaScorecardRevision": { "description": "The QaScorecardRevision scored by this result.", "type": "string" }, "potentialScore": { "type": "number", "format": "double", "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation." }, "score": { "description": "The overall numerical score of the result, incorporating any manual edits if they exist.", "type": "number", "format": "double" }, "qaTagResults": { "description": "Collection of tags and their scores.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultQaTagResult" }, "type": "array" }, "conversation": { "type": "string", "description": "The conversation scored by this result." }, "name": { "description": "Identifier. The name of the scorecard result. Format: projects/{project}/locations/{location}/qaScorecardResults/{qa_scorecard_result}", "type": "string" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The timestamp that the revision was created." }, "qaAnswers": { "description": "Set of QaAnswers represented in the result.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswer" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionAnswerChoice": { "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionAnswerChoice", "type": "object", "description": "Message representing a possible answer to the question.", "properties": { "strValue": { "description": "String value.", "type": "string" }, "naValue": { "description": "A value of \"Not Applicable (N/A)\". If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations.", "type": "boolean" }, "score": { "description": "Numerical score of the answer, used for generating the overall score of a QaScorecardResult. If the answer uses na_value, this field is unused.", "type": "number", "format": "double" }, "numValue": { "description": "Numerical value.", "type": "number", "format": "double" }, "boolValue": { "description": "Boolean value.", "type": "boolean" }, "key": { "type": "string", "description": "A short string used as an identifier." } } }, "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsRequest": { "properties": { "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelector" }, "parent": { "type": "string", "description": "Required. The parent resource to create analyses in." }, "filter": { "type": "string", "description": "Required. Filter used to select the subset of conversations to analyze." }, "analysisPercentage": { "type": "number", "format": "float", "description": "Required. Percentage of selected conversation to analyze, between [0, 100]." }, "relabel": { "type": "boolean", "description": "Optional. If true, the labeling rules will be re-evaluated for the conversations." } }, "description": "The request to analyze conversations in bulk.", "id": "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput": { "description": "A text output message from the system.", "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput", "type": "object", "properties": { "text": { "type": "array", "description": "The parts of the message.", "items": { "type": "string" } }, "textType": { "description": "The type of the text message.", "type": "string", "enumDescriptions": [ "The default text type.", "The text is a thinking plan generated by the thinking tool.", "The text is a final response to the user question.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ] } } }, "GoogleCloudContactcenterinsightsV1QaScorecardResultScoreSource": { "description": "A scorecard result may have multiple sets of scores from varying sources, one of which becomes the \"main\" answer above. A ScoreSource represents each individual set of scores.", "id": "GoogleCloudContactcenterinsightsV1QaScorecardResultScoreSource", "type": "object", "properties": { "score": { "description": "The overall numerical score of the result.", "type": "number", "format": "double" }, "potentialScore": { "type": "number", "format": "double", "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation." }, "normalizedScore": { "description": "The normalized score, which is the score divided by the potential score.", "type": "number", "format": "double" }, "qaTagResults": { "type": "array", "description": "Collection of tags and their scores.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaScorecardResultQaTagResult" } }, "sourceType": { "enumDescriptions": [ "Source type is unspecified.", "Score is derived only from system-generated answers.", "Score is derived from both system-generated answers, and includes any manual edits if they exist." ], "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED_ONLY", "INCLUDES_MANUAL_EDITS" ], "description": "What created the score.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1DimensionLabelDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionLabelDimensionMetadata", "type": "object", "description": "Metadata about conversation labels.", "properties": { "labelValue": { "description": "Optional. The label value.", "type": "string" }, "labelKey": { "description": "Optional. The label key.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationInfo": { "properties": { "fullConversationCorrelationId": { "readOnly": true, "type": "string", "description": "Output only. The full conversation correlation id this conversation is a segment of." }, "mergedFullConversationCorrelationId": { "description": "Output only. The full conversation correlation id this conversation is a merged conversation of.", "type": "string", "readOnly": true }, "correlationTypes": { "type": "array", "description": "Output only. The correlation types of this conversation. A single conversation can have multiple correlation types. For example a conversation that only has a single segment is both a SEGMENT and a FULL_CONVERSATION.", "items": { "type": "string", "enumDescriptions": [ "Default value for unspecified.", "This conversation represents a segment of a full conversation. The lowest level of granularity.", "This conversation represents a partial conversation of potentially multiple segments but is not a full conversation.", "This conversation represents a full conversation of potentially multiple segments.", "This conversation represents a synthetic conversation." ], "enum": [ "CORRELATION_TYPE_UNSPECIFIED", "SEGMENT", "PARTIAL", "FULL", "SYNTHETIC" ] }, "readOnly": true } }, "description": "Info for correlating across conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationInfo", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue": { "description": "Message for holding the value of a QaAnswer. QaQuestion.AnswerChoice defines the possible answer values for a question.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue", "type": "object", "properties": { "naValue": { "type": "boolean", "description": "A value of \"Not Applicable (N/A)\". Should only ever be `true`." }, "score": { "description": "Output only. Numerical score of the answer.", "type": "number", "format": "double", "readOnly": true }, "numValue": { "type": "number", "format": "double", "description": "Numerical value." }, "potentialScore": { "type": "number", "format": "double", "description": "Output only. The maximum potential score of the question.", "readOnly": true }, "key": { "type": "string", "description": "A short string used as an identifier. Matches the value used in QaQuestion.AnswerChoice.key." }, "skipValue": { "readOnly": true, "type": "boolean", "description": "Output only. A value of \"Skip\". If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations. This would mean that the question was not evaluated." }, "normalizedScore": { "readOnly": true, "type": "number", "format": "double", "description": "Output only. Normalized score of the questions. Calculated as score / potential_score." }, "strValue": { "description": "String value.", "type": "string" }, "boolValue": { "type": "boolean", "description": "Boolean value." } } }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestGcsDestination": { "description": "Google Cloud Storage Object details to write the feedback labels to.", "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestGcsDestination", "type": "object", "properties": { "objectUri": { "type": "string", "description": "Required. The Google Cloud Storage URI to write the feedback labels to. The file name will be used as a prefix for the files written to the bucket if the output needs to be split across multiple files, otherwise it will be used as is. The file extension will be appended to the file name based on the format selected. E.g. `gs://bucket_name/object_uri_prefix`" }, "addWhitespace": { "description": "Optional. Add whitespace to the JSON file. Makes easier to read, but increases file size. Only applicable for JSON format.", "type": "boolean" }, "alwaysPrintEmptyFields": { "description": "Optional. Always print fields with no presence. This is useful for printing fields that are not set, like implicit 0 value or empty lists/maps. Only applicable for JSON format.", "type": "boolean" }, "recordsPerFileCount": { "type": "string", "format": "int64", "description": "Optional. The number of records per file. Applicable for either format." }, "format": { "type": "string", "description": "Required. File format in which the labels will be exported.", "enumDescriptions": [ "Unspecified format.", "CSV format. 1,000 labels are stored per CSV file by default.", "JSON format. 1 label stored per JSON file by default." ], "enum": [ "FORMAT_UNSPECIFIED", "CSV", "JSON" ] } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscript": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscript", "type": "object", "description": "The conversation transcript for the chart.", "properties": { "conversationId": { "description": "The conversation id of the chart.", "type": "string" }, "updateTime": { "description": "Output only. The update time of the conversation.", "type": "string", "format": "google-datetime", "readOnly": true }, "createTime": { "description": "Output only. The create time of the conversation.", "type": "string", "format": "google-datetime", "readOnly": true }, "messages": { "description": "Ordered list of messages, including user inputs and system responses.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessage" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeriesInterval": { "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeriesInterval", "type": "object", "description": "A single interval in a time series.", "properties": { "conversationCount": { "description": "The number of conversations created in this interval.", "type": "integer", "format": "int32" }, "startTime": { "type": "string", "format": "google-datetime", "description": "The start time of this interval." } } }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadata": { "description": "The metadata for an IngestConversations operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadata", "type": "object", "properties": { "ingestConversationsStats": { "readOnly": true, "description": "Output only. Statistics for IngestConversations operation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadataIngestConversationsStats" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "sampledConversations": { "readOnly": true, "type": "array", "description": "Output only. Stores the conversation resources produced by ingest sampling operations.", "items": { "type": "string" } }, "request": { "readOnly": true, "description": "Output only. The original request for ingest.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest" }, "partialErrors": { "readOnly": true, "description": "Output only. Partial errors during ingest operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1HoldData": { "properties": {}, "description": "The data for a hold annotation.", "id": "GoogleCloudContactcenterinsightsV1HoldData", "type": "object" }, "GoogleCloudContactcenterinsightsV1QueryMetricsMetadata": { "properties": { "resultIsTruncated": { "type": "boolean", "description": "Whether the result rows were truncated because the result row size is too large to materialize." } }, "description": "The metadata from querying metrics.", "id": "GoogleCloudContactcenterinsightsV1QueryMetricsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfig", "type": "object", "description": "Configuration for the QA feature.", "properties": { "scorecardList": { "description": "A manual list of scorecards to score.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfigScorecardList" } } }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata": { "properties": { "smartReplyAllowlistCovered": { "description": "Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata", "type": "object", "description": "Metadata from Dialogflow relating to the current transcript segment." }, "GoogleCloudContactcenterinsightsV1mainEntityMentionData": { "description": "The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation.", "id": "GoogleCloudContactcenterinsightsV1mainEntityMentionData", "type": "object", "properties": { "sentiment": { "description": "Sentiment expressed for this mention of the entity.", "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData" }, "type": { "type": "string", "description": "The type of the entity mention.", "enumDescriptions": [ "Unspecified.", "Proper noun.", "Common noun (or noun compound)." ], "enum": [ "MENTION_TYPE_UNSPECIFIED", "PROPER", "COMMON" ] }, "entityUniqueId": { "type": "string", "description": "The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to." } } }, "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequest": { "description": "The request to export insights.", "id": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequest", "type": "object", "properties": { "filter": { "description": "A filter to reduce results to a specific subset. Useful for exporting conversations with specific properties.", "type": "string" }, "exportSchemaVersion": { "type": "string", "description": "Optional. Version of the export schema.", "enumDescriptions": [ "Unspecified. Defaults to EXPORT_V3.", "Export schema version 1.", "Export schema version 2.", "Export schema version 3.", "Export schema version 4.", "Export schema version 5.", "Export schema version 6.", "Export schema version 7.", "Export schema version 8.", "Export schema version 9.", "Export schema version 10.", "Export schema version 11.", "Export schema version 12.", "Export schema version 13.", "Export schema version 14.", "Export schema version 15.", "Export schema version 16.", "Export schema version 17.", "Export schema version latest available." ], "enum": [ "EXPORT_SCHEMA_VERSION_UNSPECIFIED", "EXPORT_V1", "EXPORT_V2", "EXPORT_V3", "EXPORT_V4", "EXPORT_V5", "EXPORT_V6", "EXPORT_V7", "EXPORT_V8", "EXPORT_V9", "EXPORT_V10", "EXPORT_V11", "EXPORT_V12", "EXPORT_V13", "EXPORT_V14", "EXPORT_V15", "EXPORT_V16", "EXPORT_V17", "EXPORT_VERSION_LATEST_AVAILABLE" ] }, "bigQueryDestination": { "description": "Specified if sink is a BigQuery table.", "$ref": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequestBigQueryDestination" }, "parent": { "type": "string", "description": "Required. The parent resource to export data from." }, "kmsKey": { "type": "string", "description": "A fully qualified KMS key name for BigQuery tables protected by CMEK. Format: projects/{project}/locations/{location}/keyRings/{keyring}/cryptoKeys/{key}/cryptoKeyVersions/{version}" }, "writeDisposition": { "enumDescriptions": [ "Write disposition is not specified. Defaults to WRITE_TRUNCATE.", "If the table already exists, BigQuery will overwrite the table data and use the schema from the load.", "If the table already exists, BigQuery will append data to the table." ], "enum": [ "WRITE_DISPOSITION_UNSPECIFIED", "WRITE_TRUNCATE", "WRITE_APPEND" ], "type": "string", "description": "Options for what to do if the destination table already exists." } } }, "GoogleCloudContactcenterinsightsV1CesEndSessionAnnotation": { "description": "The CES end session annotation.", "id": "GoogleCloudContactcenterinsightsV1CesEndSessionAnnotation", "type": "object", "properties": { "endSession": { "description": "End session signal from CES.", "$ref": "GoogleCloudCesV1mainEndSession" } } }, "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelMetadata": { "properties": { "request": { "description": "The original request for deletion.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelRequest" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelMetadata", "type": "object", "description": "Metadata for deleting an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1PublishAssessmentRequest": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1alpha1PublishAssessmentRequest", "type": "object", "description": "The message to publish an assessment. Draft and appealed assessments can be published. Publishing simply changes the state of the assessment to published, allowing the console and authorized views to filter on the state." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure": { "description": "The measure related to dialogflow interactions.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure", "type": "object", "properties": { "percentileToolUseLatency": { "description": "The percentile result for tool use latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileLlmCallLatency": { "description": "The percentile result for LLM latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileEndToEndLatency": { "description": "The percentile result for end to end chat latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileTtsLatency": { "description": "The percentile result for TTS latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileAudioInAudioOutLatency": { "description": "The percentile result for audio in audio out latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult" } } }, "GoogleCloudContactcenterinsightsV1alpha1GcsSource": { "properties": { "transcriptUri": { "description": "Immutable. Cloud Storage URI that points to a file that contains the conversation transcript.", "type": "string" }, "audioUri": { "type": "string", "description": "Cloud Storage URI that points to a file that contains the conversation audio." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1GcsSource", "type": "object", "description": "A Cloud Storage source of conversation data." }, "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsResponse": { "properties": { "failedAnalysisCount": { "type": "integer", "format": "int32", "description": "Count of failed analyses." }, "successfulAnalysisCount": { "description": "Count of successful analyses.", "type": "integer", "format": "int32" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsResponse", "type": "object", "description": "The response for a bulk analyze conversations operation." }, "GoogleCloudContactcenterinsightsV1alpha1OutputConfigGoogleSheetsDestination": { "description": "Google Sheets destination configuration.", "id": "GoogleCloudContactcenterinsightsV1alpha1OutputConfigGoogleSheetsDestination", "type": "object", "properties": { "sheet": { "description": "Optional. The sheet name.", "type": "string" }, "spreadsheetId": { "description": "Optional. An existing Google Sheets ID.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1IssueModelResult": { "properties": { "issueModel": { "type": "string", "description": "Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}" }, "issues": { "description": "All the matched issues.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1IssueAssignment" }, "type": "array" } }, "description": "Issue Modeling result on a conversation.", "id": "GoogleCloudContactcenterinsightsV1IssueModelResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1CreateIssueModelMetadata": { "description": "Metadata for creating an issue model.", "id": "GoogleCloudContactcenterinsightsV1CreateIssueModelMetadata", "type": "object", "properties": { "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1CreateIssueModelRequest" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentWordInfo": { "properties": { "startOffset": { "description": "Time offset of the start of this word relative to the beginning of the total conversation.", "type": "string", "format": "google-duration" }, "endOffset": { "description": "Time offset of the end of this word relative to the beginning of the total conversation.", "type": "string", "format": "google-duration" }, "word": { "description": "The word itself. Includes punctuation marks that surround the word.", "type": "string" }, "confidence": { "type": "number", "format": "float", "description": "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." } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentWordInfo", "type": "object", "description": "Word-level info for words in a transcript." }, "GoogleCloudContactcenterinsightsV1mainDimensionClientSentimentCategoryDimensionMetadata": { "properties": { "sentimentCategory": { "description": "Optional. The client sentiment category.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainDimensionClientSentimentCategoryDimensionMetadata", "type": "object", "description": "Metadata about the client sentiment category dimension." }, "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsMetadata", "type": "object", "description": "The metadata for a bulk analyze conversations operation.", "properties": { "endTime": { "description": "The time the operation finished running.", "type": "string", "format": "google-datetime" }, "completedAnalysesCount": { "description": "The number of requested analyses that have completed successfully so far.", "type": "integer", "format": "int32" }, "createTime": { "description": "The time the operation was created.", "type": "string", "format": "google-datetime" }, "request": { "description": "The original request for bulk analyze.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest" }, "relabel": { "description": "Output only. If true, the labeling rules will be re-evaluated for the conversations.", "type": "boolean", "readOnly": true }, "totalRequestedAnalysesCount": { "type": "integer", "format": "int32", "description": "Total number of analyses requested. Computed by the number of conversations returned by `filter` multiplied by `analysis_percentage` in the request." }, "partialErrors": { "type": "array", "description": "Output only. Partial errors during bulk analyze operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "readOnly": true }, "failedAnalysesCount": { "description": "The number of requested analyses that have failed so far.", "type": "integer", "format": "int32" } } }, "GoogleCloudContactcenterinsightsV1alpha1SentimentData": { "properties": { "score": { "type": "number", "format": "float", "description": "The sentiment score between -1.0 (negative) and 1.0 (positive)." }, "magnitude": { "description": "A non-negative number from 0 to infinity which represents the absolute magnitude of sentiment regardless of score.", "type": "number", "format": "float" } }, "description": "The data for a sentiment annotation.", "id": "GoogleCloudContactcenterinsightsV1alpha1SentimentData", "type": "object" }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsResponse": { "description": "Response for the BulkDownloadFeedbackLabel endpoint.", "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsResponse", "type": "object", "properties": {} }, "GoogleIamV1Policy": { "id": "GoogleIamV1Policy", "type": "object", "description": "An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { \"bindings\": [ { \"role\": \"roles/resourcemanager.organizationAdmin\", \"members\": [ \"user:mike@example.com\", \"group:admins@example.com\", \"domain:google.com\", \"serviceAccount:my-project-id@appspot.gserviceaccount.com\" ] }, { \"role\": \"roles/resourcemanager.organizationViewer\", \"members\": [ \"user:eve@example.com\" ], \"condition\": { \"title\": \"expirable access\", \"description\": \"Does not grant access after Sep 2020\", \"expression\": \"request.time \u003c timestamp('2020-10-01T00:00:00.000Z')\", } } ], \"etag\": \"BwWWja0YfJA=\", \"version\": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time \u003c timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).", "properties": { "auditConfigs": { "type": "array", "description": "Specifies cloud audit logging configuration for this policy.", "items": { "$ref": "GoogleIamV1AuditConfig" } }, "etag": { "description": "`etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.", "type": "string", "format": "byte" }, "version": { "type": "integer", "format": "int32", "description": "Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies)." }, "bindings": { "type": "array", "description": "Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.", "items": { "$ref": "GoogleIamV1Binding" } } } }, "GoogleCloudContactcenterinsightsV1mainDiagnoseConversationsResponse": { "properties": { "answer": { "description": "Output only. The final, high-level answer or diagnostic summary returned by the Sherlock worker.", "type": "string", "readOnly": true }, "fullTrajectories": { "items": { "type": "string" }, "description": "Output only. Deprecated: Use full_trajectory_steps instead. The complete sequence of thoughts and actions (full trajectory).", "deprecated": true, "type": "array", "readOnly": true }, "exportUri": { "readOnly": true, "description": "Output only. If an external destination was requested, the URI of the exported data.", "type": "string" }, "fullTrajectorySteps": { "readOnly": true, "type": "array", "description": "Output only. The complete sequence of thoughts and actions taken by the agent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainSherlockStep" } } }, "id": "GoogleCloudContactcenterinsightsV1mainDiagnoseConversationsResponse", "type": "object", "description": "The response from a DiagnoseConversations request." }, "GoogleCloudContactcenterinsightsV1ConversationParticipant": { "description": "The call participant speaking for a given utterance.", "id": "GoogleCloudContactcenterinsightsV1ConversationParticipant", "type": "object", "properties": { "obfuscatedExternalUserId": { "type": "string", "description": "Obfuscated user ID from Dialogflow." }, "dialogflowParticipantName": { "type": "string", "description": "The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}" }, "userId": { "type": "string", "description": "A user-specified ID representing the participant." }, "dialogflowParticipant": { "description": "Deprecated. Use `dialogflow_participant_name` instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}", "deprecated": true, "type": "string" }, "role": { "type": "string", "description": "The role of the participant.", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ] } } }, "GoogleCloudContactcenterinsightsV1ConversationQualityMetadata": { "properties": { "feedbackLabels": { "description": "Input only. The feedback labels associated with the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1FeedbackLabel" }, "type": "array" }, "waitDuration": { "description": "The amount of time the customer waited to connect with an agent.", "type": "string", "format": "google-duration" }, "customerSatisfactionRating": { "type": "integer", "format": "int32", "description": "An arbitrary integer value indicating the customer's satisfaction rating." }, "menuPath": { "type": "string", "description": "An arbitrary string value specifying the menu path the customer took." }, "agentInfo": { "type": "array", "description": "Information about agents involved in the call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationQualityMetadataAgentInfo" } } }, "id": "GoogleCloudContactcenterinsightsV1ConversationQualityMetadata", "type": "object", "description": "Conversation metadata related to quality management." }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponseTextOutput": { "properties": { "text": { "description": "The text output from the LLM.", "items": { "type": "string" }, "type": "array" }, "textType": { "description": "The type of text output.", "type": "string", "enumDescriptions": [ "The type is unspecified.", "The text is part of LLM reasoning.", "The text is the final answer from LLM.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ] } }, "description": "Wrapper for text output.", "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponseTextOutput", "type": "object" }, "GoogleCloudContactcenterinsightsV1DiagnoseConversationsResponse": { "description": "The response from a DiagnoseConversations request.", "id": "GoogleCloudContactcenterinsightsV1DiagnoseConversationsResponse", "type": "object", "properties": { "answer": { "type": "string", "description": "Output only. The final, high-level answer or diagnostic summary returned by the Sherlock worker.", "readOnly": true }, "fullTrajectories": { "readOnly": true, "deprecated": true, "type": "array", "description": "Output only. Deprecated: Use full_trajectory_steps instead. The complete sequence of thoughts and actions (full trajectory).", "items": { "type": "string" } }, "exportUri": { "readOnly": true, "description": "Output only. If an external destination was requested, the URI of the exported data.", "type": "string" }, "fullTrajectorySteps": { "type": "array", "description": "Output only. The complete sequence of thoughts and actions taken by the agent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1SherlockStep" }, "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary": { "properties": { "transcriptIndex": { "description": "The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.", "type": "integer", "format": "int32" }, "wordIndex": { "type": "integer", "format": "int32", "description": "The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero." } }, "id": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary", "type": "object", "description": "A point in a conversation that marks the start or the end of an annotation." }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessage": { "properties": { "systemMessageWrapper": { "description": "A wrapper for system messages per turn.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessages" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. For user messages, this is the time at which the system received the message. For system messages, this is the time at which the system generated the message.", "readOnly": true }, "userMessage": { "description": "A message from the user that is interacting with the system.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageUserMessage" }, "messageId": { "type": "string", "description": "The message id of the message." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessage", "type": "object", "description": "The message in the conversation." }, "GoogleCloudContactcenterinsightsV1alpha1FaqAnswerData": { "id": "GoogleCloudContactcenterinsightsV1alpha1FaqAnswerData", "type": "object", "description": "Agent Assist frequently-asked-question answer data.", "properties": { "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" }, "metadata": { "description": "Map that contains metadata about the FAQ answer and the document that it originates from.", "type": "object", "additionalProperties": { "type": "string" } }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.", "type": "string" }, "answer": { "description": "The piece of text from the `source` knowledge base document.", "type": "string" }, "confidenceScore": { "description": "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).", "type": "number", "format": "float" }, "question": { "description": "The corresponding FAQ question.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfigScorecardList": { "description": "Container for a list of scorecards.", "id": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfigScorecardList", "type": "object", "properties": { "qaScorecardRevisions": { "type": "array", "description": "List of QaScorecardRevisions.", "items": { "type": "string" } } } }, "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequest": { "properties": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string" }, "gcsSource": { "description": "Google Cloud Storage source message.", "$ref": "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequestGcsSource" }, "createNewModel": { "type": "boolean", "description": "Optional. If set to true, will create an issue model from the imported file with randomly generated IDs for the issue model and corresponding issues. Otherwise, replaces an existing model with the same ID as the file." } }, "description": "Request to import an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1Conversation": { "description": "The conversation resource.", "id": "GoogleCloudContactcenterinsightsV1alpha1Conversation", "type": "object", "properties": { "startTime": { "type": "string", "format": "google-datetime", "description": "The time at which the conversation started." }, "callMetadata": { "description": "Call-specific metadata.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationCallMetadata" }, "latestAnalysis": { "readOnly": true, "description": "Output only. The conversation's latest analysis, if one exists.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Analysis" }, "dialogflowIntents": { "type": "object", "description": "Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}", "readOnly": true, "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DialogflowIntent" } }, "metadataJson": { "description": "Input only. JSON metadata encoded as a string. This field is primarily used by Insights integrations with various telephony systems and must be in one of Insight's supported formats.", "type": "string" }, "dataSource": { "description": "The source of the audio and transcription for the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSource" }, "createTime": { "description": "Output only. The time at which the conversation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "correlationInfo": { "description": "Output only. Info for correlating across conversations.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationInfo", "readOnly": true }, "languageCode": { "type": "string", "description": "A user-specified language code for the conversation." }, "ttl": { "type": "string", "format": "google-duration", "description": "Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time." }, "latestSummary": { "readOnly": true, "description": "Output only. Latest summary of the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationSummarizationSuggestionData" }, "obfuscatedUserId": { "description": "Obfuscated user ID which the customer sent to us.", "type": "string" }, "expireTime": { "type": "string", "format": "google-datetime", "description": "The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted." }, "labels": { "description": "A map for the user to specify any custom fields. A maximum of 100 labels per conversation is allowed, with a maximum of 256 characters per entry.", "type": "object", "additionalProperties": { "type": "string" } }, "agentId": { "description": "An opaque, user-specified string representing the human agent who handled the conversation.", "type": "string" }, "medium": { "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "description": "Immutable. The conversation medium.", "type": "string" }, "turnCount": { "type": "integer", "format": "int32", "description": "Output only. The number of turns in the conversation.", "readOnly": true }, "updateTime": { "description": "Output only. The most recent time at which the conversation was updated.", "type": "string", "format": "google-datetime", "readOnly": true }, "transcript": { "description": "Output only. The conversation transcript.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscript", "readOnly": true }, "qualityMetadata": { "description": "Conversation metadata related to quality management.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadata" }, "duration": { "type": "string", "format": "google-duration", "description": "Output only. The duration of the conversation.", "readOnly": true }, "name": { "type": "string", "description": "Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}" }, "runtimeAnnotations": { "readOnly": true, "description": "Output only. The annotations that were generated during the customer and agent interaction.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotation" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1SherlockStep": { "properties": { "toolCalls": { "description": "Output only. The tool call issued by the agent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ToolCall" }, "type": "array", "readOnly": true }, "toolOutput": { "type": "object", "description": "Output only. The output response from the tool execution.", "readOnly": true, "additionalProperties": { "description": "Properties of the object.", "type": "any" } }, "textInput": { "readOnly": true, "description": "Output only. Natural language input stimulus.", "items": { "type": "string" }, "type": "array" }, "thought": { "readOnly": true, "type": "string", "description": "Output only. The reasoning or internal monologue of the agent." } }, "id": "GoogleCloudContactcenterinsightsV1SherlockStep", "type": "object", "description": "A step in the agent's reasoning process (Trajectory Step)." }, "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsMetadata": { "properties": { "failedAnalysesCount": { "type": "integer", "format": "int32", "description": "The number of requested analyses that have failed so far." }, "totalRequestedAnalysesCount": { "type": "integer", "format": "int32", "description": "Total number of analyses requested. Computed by the number of conversations returned by `filter` multiplied by `analysis_percentage` in the request." }, "partialErrors": { "type": "array", "description": "Output only. Partial errors during bulk analyze operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "readOnly": true }, "relabel": { "description": "Output only. If true, the labeling rules will be re-evaluated for the conversations.", "type": "boolean", "readOnly": true }, "request": { "description": "The original request for bulk analyze.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsRequest" }, "createTime": { "type": "string", "format": "google-datetime", "description": "The time the operation was created." }, "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." }, "completedAnalysesCount": { "type": "integer", "format": "int32", "description": "The number of requested analyses that have completed successfully so far." } }, "description": "The metadata for a bulk analyze conversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsPlaybookDimensionMetadata": { "properties": { "playbookId": { "type": "string", "description": "Optional. The dialogflow playbook ID." }, "playbookDisplayName": { "type": "string", "description": "Optional. The dialogflow playbook display name." } }, "id": "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsPlaybookDimensionMetadata", "type": "object", "description": "Metadata about the Conversational Agents playbook dimension." }, "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResultRuleCorrelationResult": { "id": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResultRuleCorrelationResult", "type": "object", "description": "The result of a single correlation rule.", "properties": { "correlationId": { "description": "The correlation ID generated by the join key expression.", "type": "string" }, "ruleId": { "description": "The rule ID.", "type": "string" }, "error": { "description": "The error status if the join key expression failed to evaluate.", "$ref": "GoogleRpcStatus" } } }, "GoogleCloudCesV1mainImage": { "description": "Represents an image input or output in the conversation.", "id": "GoogleCloudCesV1mainImage", "type": "object", "properties": { "mimeType": { "description": "Required. The IANA standard MIME type of the source data. Supported image types includes: * image/png * image/jpeg * image/webp", "type": "string" }, "data": { "type": "string", "format": "byte", "description": "Required. Raw bytes of the image." } } }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponse": { "description": "The response of testing correlation config.", "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponse", "type": "object", "properties": { "detailedResults": { "description": "Results for the DETAILED_SYNC execution mode.", "$ref": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponseDetailedCorrelationResults" }, "partialErrors": { "type": "array", "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } } }, "GoogleCloudContactcenterinsightsV1EntityMentionData": { "properties": { "sentiment": { "description": "Sentiment expressed for this mention of the entity.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" }, "type": { "description": "The type of the entity mention.", "type": "string", "enumDescriptions": [ "Unspecified.", "Proper noun.", "Common noun (or noun compound)." ], "enum": [ "MENTION_TYPE_UNSPECIFIED", "PROPER", "COMMON" ] }, "entityUniqueId": { "description": "The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1EntityMentionData", "type": "object", "description": "The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation." }, "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagMetadata": { "properties": { "request": { "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagRequest", "readOnly": true }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." } }, "description": "The metadata for deleting a QaQuestionTag Resource.", "id": "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule": { "properties": { "description": { "type": "string", "description": "The description of the rule." }, "displayName": { "type": "string", "description": "The user-provided display name of the rule." }, "labelKeyType": { "description": "The type of the label key.", "type": "string", "enumDescriptions": [ "Unspecified label key type.", "The label key is custom defined by the user." ], "enum": [ "LABEL_KEY_TYPE_UNSPECIFIED", "LABEL_KEY_TYPE_CUSTOM" ] }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which this rule was created." }, "updateTime": { "description": "Output only. The most recent time at which the rule was updated.", "type": "string", "format": "google-datetime", "readOnly": true }, "active": { "description": "Whether the rule is active.", "type": "boolean" }, "labelKey": { "type": "string", "description": "The label key. This is also the {auto_labeling_rule} in the resource name. Only settable if label_key_type is LABEL_KEY_TYPE_CUSTOM." }, "conditions": { "type": "array", "description": "Conditions to apply for auto-labeling the label_key. Representing sequential block of if .. else if .. else statements. The value of the first matching condition will be used.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRuleLabelingCondition" } }, "name": { "description": "Identifier. The resource name of the auto-labeling rule. Format: projects/{project}/locations/{location}/autoLabelingRules/{auto_labeling_rule}", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule", "type": "object", "description": "Rule for auto-labeling conversations." }, "GoogleCloudContactcenterinsightsV1alpha1ConversationDataOptions": { "properties": { "includeDialogflowInteractionData": { "description": "Whether to include the per turn Dialogflow interaction data in conversation transcript.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataOptions", "type": "object", "description": "Options for configuring what metadata is included in the conversation data used in QAI and Discovery Engine." }, "GoogleCloudContactcenterinsightsV1OutputConfigGoogleSheetsDestination": { "properties": { "spreadsheetId": { "type": "string", "description": "Optional. An existing Google Sheets ID." }, "sheet": { "description": "Optional. The sheet name.", "type": "string" } }, "description": "Google Sheets destination configuration.", "id": "GoogleCloudContactcenterinsightsV1OutputConfigGoogleSheetsDestination", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListDatasetsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListDatasetsResponse", "type": "object", "description": "The response to list datasets.", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "datasets": { "type": "array", "description": "The datasets that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" } } } }, "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfig": { "properties": { "scorecardList": { "description": "A manual list of scorecards to score.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfigScorecardList" } }, "description": "Configuration for the QA feature.", "id": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationCorrelationResult": { "properties": { "ruleResults": { "type": "array", "description": "The results for each correlation rule.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationCorrelationResultRuleCorrelationResult" } }, "conversation": { "description": "The conversation resource name.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationCorrelationResult", "type": "object", "description": "The result of testing correlation config on a single conversation." }, "GoogleCloudContactcenterinsightsV1UndeployIssueModelResponse": { "description": "The response to undeploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1UndeployIssueModelResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadataSampleConversationsStats": { "properties": { "successfulSampleCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The number of new conversations added during this sample operation." }, "failedSampleCount": { "description": "Output only. The number of objects which were unable to be sampled due to errors. The errors are populated in the partial_errors field.", "type": "integer", "format": "int32", "readOnly": true } }, "description": "Statistics for SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadataSampleConversationsStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1EntityMentionData": { "properties": { "type": { "type": "string", "description": "The type of the entity mention.", "enumDescriptions": [ "Unspecified.", "Proper noun.", "Common noun (or noun compound)." ], "enum": [ "MENTION_TYPE_UNSPECIFIED", "PROPER", "COMMON" ] }, "sentiment": { "description": "Sentiment expressed for this mention of the entity.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData" }, "entityUniqueId": { "type": "string", "description": "The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to." } }, "description": "The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation.", "id": "GoogleCloudContactcenterinsightsV1alpha1EntityMentionData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResult": { "description": "The results of scoring a single conversation against a QaScorecard. Contains a collection of QaAnswers and aggregate score.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResult", "type": "object", "properties": { "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score, which is the score divided by the potential score. Any manual edits are included if they exist." }, "scoreSources": { "type": "array", "description": "List of all individual score sets.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultScoreSource" } }, "agentId": { "type": "string", "description": "ID of the agent that handled the conversation." }, "qaScorecardRevision": { "description": "The QaScorecardRevision scored by this result.", "type": "string" }, "potentialScore": { "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation.", "type": "number", "format": "double" }, "score": { "type": "number", "format": "double", "description": "The overall numerical score of the result, incorporating any manual edits if they exist." }, "qaTagResults": { "type": "array", "description": "Collection of tags and their scores.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultQaTagResult" } }, "conversation": { "type": "string", "description": "The conversation scored by this result." }, "name": { "type": "string", "description": "Identifier. The name of the scorecard result. Format: projects/{project}/locations/{location}/qaScorecardResults/{qa_scorecard_result}" }, "createTime": { "description": "Output only. The timestamp that the revision was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "qaAnswers": { "description": "Set of QaAnswers represented in the result.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswer" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainArticleSuggestionData": { "properties": { "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" }, "metadata": { "description": "Map that contains metadata about the Article Suggestion and the document that it originates from.", "type": "object", "additionalProperties": { "type": "string" } }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}", "type": "string" }, "confidenceScore": { "type": "number", "format": "float", "description": "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)." }, "title": { "description": "Article title.", "type": "string" }, "uri": { "type": "string", "description": "Article URI." } }, "description": "Agent Assist Article Suggestion data.", "id": "GoogleCloudContactcenterinsightsV1mainArticleSuggestionData", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponseDetailedCorrelationResults": { "properties": { "joinKeyResults": { "type": "array", "description": "A list of join key correlation results for each conversation tested.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResult" } }, "constraintResults": { "type": "array", "description": "A list of constraint evaluation results for each pair of conversations.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResult" } } }, "description": "Wrapper for detailed, step-by-step results.", "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponseDetailedCorrelationResults", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsToolDimensionMetadata": { "properties": { "toolId": { "type": "string", "description": "Optional. The dialogflow tool ID." }, "toolDisplayName": { "type": "string", "description": "Optional. The dialogflow tool display name." } }, "description": "Metadata about the Conversational Agents tool dimension.", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsToolDimensionMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequestGcsSource": { "description": "Google Cloud Storage Object URI to get the issue model file from.", "id": "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequestGcsSource", "type": "object", "properties": { "objectUri": { "description": "Required. Format: `gs:///`", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelMetadata": { "properties": { "request": { "description": "The original request for undeployment.", "$ref": "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelRequest" }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true } }, "description": "Metadata for undeploying an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1LossPattern": { "id": "GoogleCloudContactcenterinsightsV1alpha1LossPattern", "type": "object", "description": "A loss pattern of a virtual agent and suggested fixes.", "properties": { "displayName": { "description": "Output only. The display name of the loss pattern.", "type": "string", "readOnly": true }, "id": { "readOnly": true, "type": "string", "description": "Output only. The unique identifier for the loss pattern." }, "percentage": { "readOnly": true, "description": "Output only. The percentage of conversations that match this loss pattern.", "type": "number", "format": "double" }, "description": { "readOnly": true, "type": "string", "description": "Output only. A markdown description of the loss pattern." }, "examples": { "readOnly": true, "type": "string", "description": "Output only. A markdown of loss pattern examples." }, "suggestedFixes": { "type": "string", "description": "Output only. A markdown description of the suggested fixes.", "readOnly": true }, "conversationIds": { "readOnly": true, "type": "array", "description": "Output only. A list of conversation IDs that match this loss pattern.", "items": { "type": "string" } } } }, "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelMetadata": { "properties": { "request": { "description": "The original request for deployment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelRequest" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelMetadata", "type": "object", "description": "Metadata for deploying an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfigScorecardList": { "description": "Container for a list of scorecards.", "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfigScorecardList", "type": "object", "properties": { "qaScorecardRevisions": { "description": "List of QaScorecardRevisions.", "items": { "type": "string" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListViewsResponse": { "properties": { "views": { "description": "The views that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "type": "array" }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListViewsResponse", "type": "object", "description": "The response of listing views." }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestGcsSource": { "description": "Configuration for Cloud Storage bucket sources.", "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestGcsSource", "type": "object", "properties": { "bucketUri": { "description": "Optional. The Cloud Storage bucket containing source objects. Avoid passing this. Pass this through one of `transcript_bucket_uri` or `audio_bucket_uri`.", "type": "string" }, "transcriptBucketUri": { "description": "Optional. The Cloud Storage path to the conversation transcripts. Note that: [1] Transcript files are expected to be in JSON format. [2] Transcript, audio, metadata files must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`.", "type": "string" }, "audioBucketUri": { "type": "string", "description": "Optional. The Cloud Storage path to the conversation audio file. Note that: [1] Audio files will be transcribed if not already. [2] Audio files and transcript files must be in separate buckets / folders. [3] A source file and its corresponding audio file must share the same name to be properly ingested, E.g. `gs://bucket/transcript/conversation1.json` and `gs://bucket/audio/conversation1.mp3`." }, "bucketObjectType": { "enumDescriptions": [ "The object type is unspecified and will default to `TRANSCRIPT`.", "The object is a transcript.", "The object is an audio file." ], "enum": [ "BUCKET_OBJECT_TYPE_UNSPECIFIED", "TRANSCRIPT", "AUDIO" ], "type": "string", "description": "Optional. Specifies the type of the objects in `bucket_uri`. Avoid passing this. This is inferred from the `transcript_bucket_uri`, `audio_bucket_uri`." }, "metadataBucketUri": { "description": "Optional. The Cloud Storage path to the conversation metadata. Note that: [1] Metadata files are expected to be in JSON format. [2] Metadata and source files (transcripts or audio) must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`.", "type": "string" }, "customMetadataKeys": { "description": "Optional. Custom keys to extract as conversation labels from metadata files in `metadata_bucket_uri`. Keys not included in this field will be ignored. Note that there is a limit of 100 labels per conversation.", "items": { "type": "string" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1CreateIssueModelRequest": { "description": "The request to create an issue model.", "id": "GoogleCloudContactcenterinsightsV1CreateIssueModelRequest", "type": "object", "properties": { "parent": { "type": "string", "description": "Required. The parent resource of the issue model." }, "issueModel": { "description": "Required. The issue model to create.", "$ref": "GoogleCloudContactcenterinsightsV1IssueModel" } } }, "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecMetadata": { "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "partialErrors": { "description": "Partial errors during initializing operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "request": { "description": "Output only. The original request for initialization.", "$ref": "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecRequest", "readOnly": true } }, "description": "Metadata for initializing a location-level encryption specification.", "id": "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1Settings": { "id": "GoogleCloudContactcenterinsightsV1alpha1Settings", "type": "object", "description": "The CCAI Insights project wide settings. Use these settings to configure the behavior of Insights. View these settings with [`getsettings`](https://cloud.google.com/contact-center/insights/docs/reference/rest/v1/projects.locations/getSettings) and change the settings with [`updateSettings`](https://cloud.google.com/contact-center/insights/docs/reference/rest/v1/projects.locations/updateSettings).", "properties": { "languageCode": { "description": "A language code to be applied to each transcript segment unless the segment already specifies a language code. Language code defaults to \"en-US\" if it is neither specified on the segment nor here.", "type": "string" }, "name": { "type": "string", "description": "Immutable. The resource name of the settings resource. Format: projects/{project}/locations/{location}/settings" }, "screenRecordingBucketUri": { "description": "Optional. The path to a Cloud Storage bucket containing conversation screen recordings. If provided, Insights will search in the bucket for a screen recording file matching the conversation data source object name prefix. If matches are found, these file URIs will be stored in the conversation screen recordings field.", "type": "string" }, "createTime": { "readOnly": true, "description": "Output only. The time at which the settings was created.", "type": "string", "format": "google-datetime" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the settings were last updated." }, "pubsubNotificationSettings": { "additionalProperties": { "type": "string" }, "description": "A map that maps a notification trigger to a Pub/Sub topic. Each time a specified trigger occurs, Insights will notify the corresponding Pub/Sub topic. Keys are notification triggers. Supported keys are: * \"all-triggers\": Notify each time any of the supported triggers occurs. * \"create-analysis\": Notify each time an analysis is created. * \"create-conversation\": Notify each time a conversation is created. * \"export-insights-data\": Notify each time an export is complete. * \"ingest-conversations\": Notify each time an IngestConversations LRO is complete. * \"update-conversation\": Notify each time a conversation is updated via UpdateConversation. * \"upload-conversation\": Notify when an UploadConversation LRO is complete. * \"update-or-analyze-conversation\": Notify when an analysis for a conversation is completed or when the conversation is updated. The message will contain the conversation with transcript, analysis and other metadata. Values are Pub/Sub topics. The format of each Pub/Sub topic is: projects/{project}/topics/{topic}", "type": "object" }, "speechConfig": { "description": "Optional. Default Speech-to-Text resources to use while ingesting audio files. Optional, CCAI Insights will create a default if not provided. This applies to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversations coming from CCAI Platform.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig" }, "redactionConfig": { "description": "Default DLP redaction resources to be applied while ingesting conversations. This applies to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversations coming from CCAI Platform.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig" }, "analysisConfig": { "description": "Default analysis settings.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SettingsAnalysisConfig" }, "timeZone": { "description": "Optional. The time zone applied to the project. This is a string representation of the time zone, for example, \"America/New_York\". This field follows the IANA TZ database format. See https://www.iana.org/time-zones for a list of valid values. If no value is set the user time zone will be used.", "type": "string" }, "conversationTtl": { "description": "The default TTL for newly-created conversations. If a conversation has a specified expiration, that value will be used instead. Changing this value will not change the expiration of existing conversations. Conversations with no expire time persist until they are deleted.", "type": "string", "format": "google-duration" }, "diagnosticMetricConfig": { "description": "Optional. Configuration for diagnostic metrics.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SettingsDiagnosticMetricConfig" } } }, "GoogleCloudContactcenterinsightsV1alpha1DimensionAgentDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionAgentDimensionMetadata", "type": "object", "description": "Metadata about the agent dimension.", "properties": { "agentDisplayName": { "description": "Optional. The agent's name This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentDisplayName": { "description": "Optional. The agent's deployment display name. Only applicable to automated agents. This will be populated for AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentVersionId": { "type": "string", "description": "Optional. The agent's version ID. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions." }, "agentVersionDisplayName": { "description": "Optional. The agent's version display name. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentTeam": { "description": "Optional. A user-specified string representing the agent's team.", "type": "string" }, "agentId": { "description": "Optional. A user-specified string representing the agent. This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentId": { "description": "Optional. The agent's deployment ID. Only applicable to automated agents. This will be populated for AGENT and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1Intent": { "properties": { "id": { "description": "The unique identifier of the intent.", "type": "string" }, "displayName": { "type": "string", "description": "The human-readable name of the intent." } }, "description": "The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE.", "id": "GoogleCloudContactcenterinsightsV1Intent", "type": "object" }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadata": { "properties": { "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "request": { "readOnly": true, "description": "Output only. The original request for download.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequest" }, "downloadStats": { "readOnly": true, "description": "Output only. Statistics for BulkDownloadFeedbackLabels operation.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadataDownloadStats" }, "partialErrors": { "type": "array", "description": "Partial errors during ingest operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } }, "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadata", "type": "object", "description": "Metadata for the BulkDownloadFeedbackLabel endpoint." }, "GoogleCloudContactcenterinsightsV1mainCreateIssueRequest": { "description": "The request to create an issue.", "id": "GoogleCloudContactcenterinsightsV1mainCreateIssueRequest", "type": "object", "properties": { "issue": { "description": "Required. The values for the new issue.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssue" }, "parent": { "type": "string", "description": "Required. The parent resource of the issue." } } }, "GoogleCloudContactcenterinsightsV1mainIssueModel": { "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which this issue model was created.", "readOnly": true }, "modelType": { "type": "string", "description": "Type of the model.", "enumDescriptions": [ "Unspecified model type.", "Type V1.", "Type V2." ], "enum": [ "MODEL_TYPE_UNSPECIFIED", "TYPE_V1", "TYPE_V2" ] }, "inputDataConfig": { "description": "Configs for the input data that used to create the issue model.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModelInputDataConfig" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the issue model was updated." }, "issueCount": { "description": "Output only. Number of issues in this issue model.", "type": "string", "format": "int64", "readOnly": true }, "name": { "description": "Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}", "type": "string" }, "languageCode": { "description": "Language of the model.", "type": "string" }, "state": { "enumDescriptions": [ "Unspecified.", "Model is not deployed but is ready to deploy.", "Model is being deployed.", "Model is deployed and is ready to be used. A model can only be used in analysis if it's in this state.", "Model is being undeployed.", "Model is being deleted." ], "enum": [ "STATE_UNSPECIFIED", "UNDEPLOYED", "DEPLOYING", "DEPLOYED", "UNDEPLOYING", "DELETING" ], "readOnly": true, "type": "string", "description": "Output only. State of the model." }, "trainingStats": { "readOnly": true, "description": "Output only. Immutable. The issue model's label statistics on its training data.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStats" }, "displayName": { "type": "string", "description": "The representative name for the issue model." } }, "id": "GoogleCloudContactcenterinsightsV1mainIssueModel", "type": "object", "description": "The issue model resource." }, "GoogleCloudContactcenterinsightsV1mainAnalysis": { "properties": { "createTime": { "description": "Output only. The time at which the analysis was created, which occurs when the long-running operation completes.", "type": "string", "format": "google-datetime", "readOnly": true }, "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector" }, "analysisResult": { "readOnly": true, "description": "Output only. The result of the analysis, which is populated when the analysis finishes.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnalysisResult" }, "requestTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the analysis was requested." }, "name": { "description": "Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainAnalysis", "type": "object", "description": "The analysis resource." }, "GoogleCloudContactcenterinsightsV1alpha1ArticleSuggestionData": { "id": "GoogleCloudContactcenterinsightsV1alpha1ArticleSuggestionData", "type": "object", "description": "Agent Assist Article Suggestion data.", "properties": { "title": { "description": "Article title.", "type": "string" }, "uri": { "type": "string", "description": "Article URI." }, "confidenceScore": { "description": "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).", "type": "number", "format": "float" }, "metadata": { "additionalProperties": { "type": "string" }, "type": "object", "description": "Map that contains metadata about the Article Suggestion and the document that it originates from." }, "source": { "type": "string", "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelRequest": { "properties": { "name": { "description": "Required. The issue model to undeploy.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelRequest", "type": "object", "description": "The request to undeploy an issue model." }, "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsResponse": { "description": "The response for a bulk analyze conversations operation.", "id": "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsResponse", "type": "object", "properties": { "successfulAnalysisCount": { "description": "Count of successful analyses.", "type": "integer", "format": "int32" }, "failedAnalysisCount": { "type": "integer", "format": "int32", "description": "Count of failed analyses." } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse", "type": "object", "description": "The response from a GenerateConversationSignedAudio request.", "properties": { "signedAudioUris": { "description": "The signed uris for the audio.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SignedAudioUris" } } }, "GoogleCloudContactcenterinsightsV1alpha1CallAnnotation": { "properties": { "entityMentionData": { "description": "Data specifying an entity mention.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1EntityMentionData" }, "silenceData": { "description": "Data specifying silence.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SilenceData" }, "holdData": { "description": "Data specifying a hold.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1HoldData" }, "issueMatchData": { "description": "Data specifying an issue match.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueMatchData" }, "interruptionData": { "description": "Data specifying an interruption.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1InterruptionData" }, "annotationStartBoundary": { "description": "The boundary in the conversation where the annotation starts, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary" }, "intentMatchData": { "description": "Data specifying an intent match.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IntentMatchData" }, "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData" }, "channelTag": { "type": "integer", "format": "int32", "description": "The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated." }, "annotationEndBoundary": { "description": "The boundary in the conversation where the annotation ends, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary" }, "phraseMatchData": { "description": "Data specifying a phrase match.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchData" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CallAnnotation", "type": "object", "description": "A piece of metadata that applies to a window of a call." }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestTranscriptObjectConfig": { "properties": { "medium": { "type": "string", "description": "Required. The medium transcript objects represent.", "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ] } }, "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestTranscriptObjectConfig", "type": "object", "description": "Configuration for processing transcript objects." }, "GoogleCloudContactcenterinsightsV1alpha1MetricValue": { "properties": { "displayName": { "readOnly": true, "description": "Output only. The user-visible name of the metric (e.g., \"Containment Rate\").", "type": "string" }, "metricType": { "readOnly": true, "type": "string", "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics.", "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ] }, "conversations": { "description": "Output only. The list of conversation names that contributed to this metric (hits). Format: `projects/{project}/locations/{location}/conversations/{conversation}`", "items": { "type": "string" }, "type": "array", "readOnly": true }, "value": { "description": "Output only. The calculated value of the metric (usually a ratio or rate 0.0 - 1.0).", "type": "number", "format": "double", "readOnly": true }, "totalCount": { "description": "Output only. The total number of items evaluated for this metric.", "type": "integer", "format": "int32", "readOnly": true }, "hitCount": { "description": "Output only. The number of positive matches (hits) for this metric.", "type": "integer", "format": "int32", "readOnly": true }, "sourceId": { "description": "Output only. The resource name of the underlying Insights primitive (e.g., Tag or QaQuestion) used to calculate this metric.", "type": "string", "readOnly": true } }, "description": "Deprecated: MetricValue is no longer used for diagnostics.", "id": "GoogleCloudContactcenterinsightsV1alpha1MetricValue", "deprecated": true, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel": { "id": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel", "type": "object", "description": "Represents a conversation, resource, and label provided by the user. Can take the form of a string label or a QaAnswer label. QaAnswer labels are used for Quality AI example conversations. String labels are used for Topic Modeling. AgentAssistSummary labels are used for Agent Assist Summarization.", "properties": { "qaAnswerLabel": { "description": "QaAnswer label used for Quality AI example conversations.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue" }, "labeledResource": { "type": "string", "description": "Name of the resource to be labeled. Supported resources are: * `projects/{project}/locations/{location}/qaScorecards/{scorecard}/revisions/{revision}/qaQuestions/{question}` * `projects/{project}/locations/{location}/issueModels/{issue_model}` * `projects/{project}/locations/{location}/generators/{generator_id}`" }, "label": { "description": "String label used for Topic Modeling.", "type": "string" }, "name": { "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}", "type": "string" }, "createTime": { "readOnly": true, "description": "Output only. Create time of the label.", "type": "string", "format": "google-datetime" }, "updateTime": { "readOnly": true, "description": "Output only. Update time of the label.", "type": "string", "format": "google-datetime" } } }, "GoogleCloudContactcenterinsightsV1UploadConversationRequest": { "properties": { "conversation": { "description": "Required. The conversation resource to create.", "$ref": "GoogleCloudContactcenterinsightsV1Conversation" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1RedactionConfig" }, "parent": { "type": "string", "description": "Required. The parent resource of the conversation." }, "conversationId": { "description": "Optional. 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}$`. Valid characters are `a-z-`", "type": "string" }, "speechConfig": { "description": "Optional. Speech-to-Text configuration. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1SpeechConfig" } }, "id": "GoogleCloudContactcenterinsightsV1UploadConversationRequest", "type": "object", "description": "Request to upload a conversation." }, "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStats": { "description": "Aggregated statistics about an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStats", "type": "object", "properties": { "issueStats": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStatsIssueStats" }, "description": "Statistics on each issue. Key is the issue's resource name.", "type": "object" }, "analyzedConversationsCount": { "type": "string", "format": "int64", "description": "Number of conversations the issue model has analyzed at this point in time." }, "unclassifiedConversationsCount": { "description": "Number of analyzed conversations for which no issue was applicable at this point in time.", "type": "string", "format": "int64" } } }, "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelMetadata", "type": "object", "description": "Metadata for deleting an issue model.", "properties": { "request": { "description": "The original request for deletion.", "$ref": "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelRequest" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsResponse": { "properties": { "failedAnalysisCount": { "description": "Count of failed analyses.", "type": "integer", "format": "int32" }, "successfulAnalysisCount": { "type": "integer", "format": "int32", "description": "Count of successful analyses." } }, "id": "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsResponse", "type": "object", "description": "The response for a bulk analyze conversations operation." }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessageTextOutput": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessageTextOutput", "type": "object", "description": "A text output message from the system.", "properties": { "texts": { "description": "The parts of the message.", "items": { "type": "string" }, "type": "array" }, "type": { "description": "The type of the text message.", "type": "string", "enumDescriptions": [ "The default text type.", "The text is a thinking plan generated by the thinking tool.", "The text is a final response to the user question.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ] } } }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsResponse", "type": "object", "description": "The response for a bulk delete conversations operation.", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotation": { "id": "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotation", "type": "object", "description": "An annotation that was generated during the customer and agent interaction.", "properties": { "userInput": { "description": "Explicit input used for generating the answer", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotationUserInput" }, "answerFeedback": { "description": "The feedback that the customer has about the answer in `data`.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnswerFeedback" }, "articleSuggestion": { "description": "Agent Assist Article Suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ArticleSuggestionData" }, "annotationId": { "description": "The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}", "type": "string" }, "faqAnswer": { "description": "Agent Assist FAQ answer data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1FaqAnswerData" }, "startBoundary": { "description": "The boundary in the conversation where the annotation starts, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary" }, "cesEndSessionAnnotation": { "description": "The CES end session annotation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CesEndSessionAnnotation" }, "cesTurnAnnotation": { "description": "The CES turn annotation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CesTurnAnnotation" }, "endBoundary": { "description": "The boundary in the conversation where the annotation ends, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary" }, "conversationSummarizationSuggestion": { "description": "Conversation summarization suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationSummarizationSuggestionData" }, "createTime": { "description": "The time at which this annotation was created.", "type": "string", "format": "google-datetime" }, "dialogflowInteraction": { "description": "Dialogflow interaction data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DialogflowInteractionData" }, "smartReply": { "description": "Agent Assist Smart Reply data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SmartReplyData" }, "smartComposeSuggestion": { "description": "Agent Assist Smart Compose suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SmartComposeSuggestionData" } } }, "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfig": { "description": "Configuration for the QA feature.", "id": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfig", "type": "object", "properties": { "scorecardList": { "description": "A manual list of scorecards to score.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfigScorecardList" } } }, "GoogleCloudContactcenterinsightsV1IngestConversationsRequestTranscriptObjectConfig": { "description": "Configuration for processing transcript objects.", "id": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestTranscriptObjectConfig", "type": "object", "properties": { "medium": { "description": "Required. The medium transcript objects represent.", "type": "string", "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ] } } }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegment": { "description": "A segment of a full transcript.", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegment", "type": "object", "properties": { "channelTag": { "description": "For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono.", "type": "integer", "format": "int32" }, "sentiment": { "description": "The sentiment for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData" }, "words": { "description": "A list of the word-specific information for each word in the segment.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentWordInfo" }, "type": "array" }, "dialogflowSegmentMetadata": { "description": "CCAI metadata relating to the current transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata" }, "turnLevelAudio": { "description": "Turn level audio for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationDataSourceTurnLevelAudio" }, "text": { "type": "string", "description": "The text of this segment." }, "languageCode": { "description": "The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: \"en-US\".", "type": "string" }, "confidence": { "type": "number", "format": "float", "description": "A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset." }, "messageTime": { "description": "The time that the message occurred, if provided.", "type": "string", "format": "google-datetime" }, "segmentParticipant": { "description": "The participant of this segment.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationParticipant" } } }, "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStatsIssueStats": { "properties": { "displayName": { "type": "string", "description": "Display name of the issue." }, "issue": { "description": "Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}", "type": "string" }, "labeledConversationsCount": { "description": "Number of conversations attached to the issue at this point in time.", "type": "string", "format": "int64" } }, "id": "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStatsIssueStats", "type": "object", "description": "Aggregated statistics about an issue." }, "GoogleCloudContactcenterinsightsV1mainConversationTranscript": { "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscript", "type": "object", "description": "A message representing the transcript of a conversation.", "properties": { "transcriptSegments": { "description": "A list of sequential transcript segments that comprise the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegment" }, "type": "array" } } }, "GoogleCloudCesV1mainToolsetTool": { "description": "A tool that is created from a toolset.", "id": "GoogleCloudCesV1mainToolsetTool", "type": "object", "properties": { "toolset": { "type": "string", "description": "Required. The resource name of the Toolset from which this tool is derived. Format: `projects/{project}/locations/{location}/apps/{app}/toolsets/{toolset}`" }, "toolId": { "description": "Optional. The tool ID to filter the tools to retrieve the schema for.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1View": { "id": "GoogleCloudContactcenterinsightsV1alpha1View", "type": "object", "description": "The View resource.", "properties": { "name": { "type": "string", "description": "Immutable. The resource name of the view. Format: projects/{project}/locations/{location}/views/{view}" }, "displayName": { "type": "string", "description": "The human-readable display name of the view." }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the view was updated." }, "value": { "type": "string", "description": "A filter to reduce conversation results to a specific subset. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details." }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which this view was created.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequestBigQueryDestination": { "description": "A BigQuery Table Reference.", "id": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequestBigQueryDestination", "type": "object", "properties": { "dataset": { "type": "string", "description": "Required. The name of the BigQuery dataset that the snapshot result should be exported to. If this dataset does not exist, the export call returns an INVALID_ARGUMENT error." }, "projectId": { "description": "A project ID or number. If specified, then export will attempt to write data to this project instead of the resource project. Otherwise, the resource project will be used.", "type": "string" }, "table": { "type": "string", "description": "The BigQuery table name to which the insights data should be written. If this table does not exist, the export call returns an INVALID_ARGUMENT error." } } }, "GoogleCloudContactcenterinsightsV1alpha1SmartComposeSuggestionData": { "properties": { "suggestion": { "type": "string", "description": "The content of the suggestion." }, "metadata": { "additionalProperties": { "type": "string" }, "description": "Map that contains metadata about the Smart Compose suggestion and the document from which it originates.", "type": "object" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "confidenceScore": { "type": "number", "format": "double", "description": "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)." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SmartComposeSuggestionData", "type": "object", "description": "Agent Assist Smart Compose suggestion data." }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageUserMessage": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageUserMessage", "type": "object", "description": "The user message.", "properties": { "text": { "type": "string", "description": "A message from the user that is interacting with the system." } } }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestion": { "properties": { "predefinedQuestionConfig": { "description": "The configuration of the predefined question. This field will only be set if the Question Type is predefined.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionPredefinedQuestionConfig" }, "tuningMetadata": { "description": "Metadata about the tuning operation for the question.This field will only be populated if and only if the question is part of a scorecard revision that has been tuned.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTuningMetadata" }, "abbreviation": { "description": "Short, descriptive string, used in the UI where it's not practical to display the full question body. E.g., \"Greeting\".", "type": "string" }, "name": { "type": "string", "description": "Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}" }, "answerChoices": { "type": "array", "description": "A list of valid answers to the question, which the LLM must choose from.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionAnswerChoice" } }, "qaQuestionDataOptions": { "description": "Options for configuring the data used to generate the QA question.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionQaQuestionDataOptions" }, "tags": { "description": "Questions are tagged for categorization and scoring. Tags can either be: - Default Tags: These are predefined categories. They are identified by their string value (e.g., \"BUSINESS\", \"COMPLIANCE\", and \"CUSTOMER\"). - Custom Tags: These are user-defined categories. They are identified by their full resource name (e.g., projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag}). Both default and custom tags are used to group questions and to influence the scoring of each question.", "items": { "type": "string" }, "type": "array" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the question was updated." }, "questionType": { "enumDescriptions": [ "The type of the question is unspecified.", "The default question type. The question is fully customizable by the user.", "The question type is using a predefined model provided by CCAI teams. Users are not allowed to edit the question_body, answer_choices, upload feedback labels for the question nor fine-tune the question. However, users may edit other fields like question tags, question order, etc." ], "enum": [ "QA_QUESTION_TYPE_UNSPECIFIED", "CUSTOMIZABLE", "PREDEFINED" ], "description": "The type of question.", "type": "string" }, "questionBody": { "description": "Question text. E.g., \"Did the agent greet the customer?\"", "type": "string" }, "metrics": { "description": "Metrics of the underlying tuned LLM over a holdout/test set while fine tuning the underlying LLM for the given question. This field will only be populated if and only if the question is part of a scorecard revision that has been tuned.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionMetrics" }, "answerInstructions": { "description": "Instructions describing how to determine the answer.", "type": "string" }, "createTime": { "readOnly": true, "description": "Output only. The time at which this question was created.", "type": "string", "format": "google-datetime" }, "order": { "description": "Defines the order of the question within its parent scorecard revision.", "type": "integer", "format": "int32" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion", "type": "object", "description": "A single question to be scored by the Insights QA feature." }, "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponse": { "properties": { "generatedSqlQuery": { "description": "The generated SQL query from the LLM. Will be populated during the chart building phase. The generated SQL will be cached in the corresponding chart resource.", "type": "string" }, "textMessage": { "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response.", "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponseTextOutput" }, "chartSpec": { "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "description": "The chart spec for the data. This will be specified in the vega-lite or vega format.", "type": "object" }, "textOutput": { "deprecated": true, "type": "string", "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response." } }, "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponse", "type": "object", "description": "Wrapper for storing the generative response for a chart." }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsResponse": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsResponse", "type": "object", "description": "Response for the BulkDeleteFeedbackLabels endpoint." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceTimeSeries": { "properties": { "dataPoints": { "type": "array", "description": "The data points that make up the time series .", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPoint" } } }, "description": "A time series of metric values.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceTimeSeries", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsRequest": { "properties": { "parent": { "description": "Required. The parent resource to create analyses in.", "type": "string" }, "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector" }, "filter": { "type": "string", "description": "Required. Filter used to select the subset of conversations to analyze." }, "analysisPercentage": { "type": "number", "format": "float", "description": "Required. Percentage of selected conversation to analyze, between [0, 100]." }, "relabel": { "description": "Optional. If true, the labeling rules will be re-evaluated for the conversations.", "type": "boolean" } }, "description": "The request to analyze conversations in bulk.", "id": "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest": { "properties": { "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING" }, "parent": { "type": "string", "description": "Required. The parent resource for new feedback labels." } }, "description": "Request for the BulkDeleteFeedbackLabels endpoint.", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResult": { "id": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResult", "type": "object", "description": "The result of testing correlation config on a single conversation.", "properties": { "ruleResults": { "type": "array", "description": "The results for each correlation rule.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResultRuleCorrelationResult" } }, "conversation": { "type": "string", "description": "The conversation resource name." } } }, "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequest": { "description": "Request to import an issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequest", "type": "object", "properties": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string" }, "gcsSource": { "description": "Google Cloud Storage source message.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequestGcsSource" }, "createNewModel": { "description": "Optional. If set to true, will create an issue model from the imported file with randomly generated IDs for the issue model and corresponding issues. Otherwise, replaces an existing model with the same ID as the file.", "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1DiagnosticReport": { "id": "GoogleCloudContactcenterinsightsV1DiagnosticReport", "type": "object", "description": "A diagnostic report containing aggregate metrics and intent breakdowns.", "properties": { "intentStats": { "readOnly": true, "type": "array", "description": "Output only. A breakdown of metrics grouped by intent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1DiagnosticReportIntentStats" } }, "lossPatterns": { "readOnly": true, "description": "Output only. A list of loss patterns identified for the entire project/dataset.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1LossPattern" }, "type": "array" }, "metrics": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1MetricValue" }, "readOnly": true, "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics.", "deprecated": true, "type": "object" } } }, "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorSummarizationConfig": { "description": "Configuration for summarization.", "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorSummarizationConfig", "type": "object", "properties": { "conversationProfile": { "type": "string", "description": "Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}" }, "generator": { "description": "The resource name of the existing created generator. Format: projects//locations//generators/", "type": "string" }, "summarizationModel": { "enumDescriptions": [ "Unspecified summarization model.", "The CCAI baseline model. This model is deprecated and will be removed in the future. We recommend using `generator` instead.", "The CCAI baseline model, V2.0. This model is deprecated and will be removed in the future. We recommend using `generator` instead." ], "enum": [ "SUMMARIZATION_MODEL_UNSPECIFIED", "BASELINE_MODEL", "BASELINE_MODEL_V2_0" ], "description": "Default summarization model to be used.", "type": "string", "enumDeprecated": [ false, true, true ] } } }, "GoogleCloudContactcenterinsightsV1IngestConversationsRequestConversationConfig": { "description": "Configuration that applies to all conversations.", "id": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestConversationConfig", "type": "object", "properties": { "agentChannel": { "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed.", "type": "integer", "format": "int32" }, "agentId": { "type": "string", "description": "Optional. An opaque, user-specified string representing a human agent who handled all conversations in the import. Note that this will be overridden if per-conversation metadata is provided through the `metadata_bucket_uri`." }, "customerChannel": { "type": "integer", "format": "int32", "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed." } } }, "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule": { "properties": { "displayName": { "type": "string", "description": "Display Name of the assessment rule." }, "name": { "type": "string", "description": "Identifier. The resource name of the assessment rule. Format: projects/{project}/locations/{location}/assessmentRules/{assessment_rule}" }, "sampleRule": { "description": "The sample rule for the assessment rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleRule" }, "createTime": { "description": "Output only. The time at which this assessment rule was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "scheduleInfo": { "description": "Schedule info for the assessment rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ScheduleInfo" }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which this assessment rule was updated.", "readOnly": true }, "active": { "description": "If true, apply this rule to conversations. Otherwise, this rule is inactive.", "type": "boolean" } }, "description": "The CCAI Insights project wide assessment rule. This assessment rule will be applied to all conversations from the previous sampling cycle that match the sample rule defined in the assessment rule. One project can have multiple assessment rules.", "id": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainGcsSource": { "id": "GoogleCloudContactcenterinsightsV1mainGcsSource", "type": "object", "description": "A Cloud Storage source of conversation data.", "properties": { "transcriptUri": { "type": "string", "description": "Immutable. Cloud Storage URI that points to a file that contains the conversation transcript." }, "audioUri": { "type": "string", "description": "Cloud Storage URI that points to a file that contains the conversation audio." } } }, "GoogleCloudContactcenterinsightsV1alpha1ToolCall": { "properties": { "input": { "readOnly": true, "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "description": "Output only. The input arguments to the tool.", "type": "object" }, "toolName": { "type": "string", "description": "Output only. The name of the tool being called.", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ToolCall", "type": "object", "description": "A tool call from the agent." }, "GoogleCloudContactcenterinsightsV1mainDialogflowSource": { "id": "GoogleCloudContactcenterinsightsV1mainDialogflowSource", "type": "object", "description": "A Dialogflow source of conversation data.", "properties": { "dialogflowConversation": { "type": "string", "description": "Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}", "readOnly": true }, "audioUri": { "description": "Cloud Storage URI that points to a file that contains the conversation audio.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListNotesResponse": { "description": "The response of listing notes.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListNotesResponse", "type": "object", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "notes": { "type": "array", "description": "The notes that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" } } } }, "GoogleCloudContactcenterinsightsV1mainDiagnoseConversationsRequest": { "properties": { "requestId": { "type": "string", "description": "Optional. Required. A unique ID that identifies the request. If the service receives two `DiagnoseConversationsRequest`s with the same `request_id`, then the second request will be ignored; instead, the response of the first request will be returned. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters." }, "maxSteps": { "description": "Optional. The maximum number of steps the agent can take during the execution of the task. Defaults to 10.", "type": "integer", "format": "int32" }, "dryRun": { "description": "Optional. If true, the request will be validated and a simulation of the analysis will be performed without actually executing the task.", "type": "boolean" }, "taskQuery": { "description": "Optional. A natural language description of the analysis goal or question.", "type": "string" }, "metricType": { "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "DIAGNOSTIC_METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ], "description": "Optional. The type of metric being diagnosed.", "type": "string" }, "outputConfig": { "description": "Optional. The configuration for the output of the task.", "$ref": "GoogleCloudContactcenterinsightsV1mainOutputConfig" }, "instructions": { "description": "Optional. Specific instructions for the agent.", "type": "string" }, "validateOnly": { "type": "boolean", "description": "Optional. If true, the request will only be validated (permissions, filter syntax, etc.) without actually triggering the analysis." }, "parent": { "description": "Required. The parent resource where the analysis will be performed.", "type": "string" }, "filter": { "type": "string", "description": "Optional. AIP-160 compliant filter for selecting target conversations." }, "fullReport": { "description": "Optional. If true, the agent will generate a full diagnostic report for all sub-agents.", "type": "boolean" } }, "description": "The request to analyze conversation data using agentic workflows. This RPC triggers a complex analysis process that may involve several steps of reasoning and tool execution.", "id": "GoogleCloudContactcenterinsightsV1mainDiagnoseConversationsRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1IssueAssignment": { "properties": { "score": { "description": "Score indicating the likelihood of the issue assignment. currently bounded on [0,1].", "type": "number", "format": "double" }, "issue": { "description": "Resource name of the assigned issue.", "type": "string" }, "displayName": { "description": "Immutable. Display name of the assigned issue. This field is set at time of analysis and immutable since then.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1IssueAssignment", "type": "object", "description": "Information about the issue." }, "GoogleCloudContactcenterinsightsV1alpha1ListAnalysesResponse": { "properties": { "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." }, "analyses": { "type": "array", "description": "The analyses that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Analysis" } } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListAnalysesResponse", "type": "object", "description": "The response to list analyses." }, "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewsResponse": { "properties": { "authorizedViews": { "description": "The AuthorizedViews under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "type": "array" }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } }, "description": "The response from a ListAuthorizedViews request.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1ExportIssueModelRequest": { "id": "GoogleCloudContactcenterinsightsV1ExportIssueModelRequest", "type": "object", "description": "Request to export an issue model.", "properties": { "gcsDestination": { "description": "Google Cloud Storage URI to export the issue model to.", "$ref": "GoogleCloudContactcenterinsightsV1ExportIssueModelRequestGcsDestination" }, "name": { "description": "Required. The issue model to export.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessage": { "description": "A message from the system in response to the user. This message can also be a message from the user as historical context for multiturn conversations with the system.", "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessage", "type": "object", "properties": { "userProvidedChartSpec": { "type": "object", "description": "Optional. User provided chart spec", "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "generatedSqlQuery": { "description": "Raw SQL from LLM, before templatization", "type": "string" }, "chartSpec": { "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "type": "object", "description": "Chart spec from LLM" }, "userProvidedSqlQuery": { "description": "Optional. User provided SQL query", "type": "string" }, "textMessage": { "description": "A direct natural language response to the user message.", "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput" } } }, "GoogleCloudContactcenterinsightsV1mainEntity": { "properties": { "displayName": { "type": "string", "description": "The representative name for the entity." }, "metadata": { "description": "Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.", "type": "object", "additionalProperties": { "type": "string" } }, "type": { "type": "string", "description": "The entity type.", "enumDescriptions": [ "Unspecified.", "Person.", "Location.", "Organization.", "Event.", "Artwork.", "Consumer product.", "Other types of entities.", "Phone number. The metadata lists the phone number (formatted according to local convention), plus whichever additional elements appear in the text: * `number` - The actual number, broken down into sections according to local convention. * `national_prefix` - Country code, if detected. * `area_code` - Region or area code, if detected. * `extension` - Phone extension (to be dialed after connection), if detected.", "Address. The metadata identifies the street number and locality plus whichever additional elements appear in the text: * `street_number` - Street number. * `locality` - City or town. * `street_name` - Street/route name, if detected. * `postal_code` - Postal code, if detected. * `country` - Country, if detected. * `broad_region` - Administrative area, such as the state, if detected. * `narrow_region` - Smaller administrative area, such as county, if detected. * `sublocality` - Used in Asian addresses to demark a district within a city, if detected.", "Date. The metadata identifies the components of the date: * `year` - Four digit year, if detected. * `month` - Two digit month number, if detected. * `day` - Two digit day number, if detected.", "Number. The metadata is the number itself.", "Price. The metadata identifies the `value` and `currency`." ], "enum": [ "TYPE_UNSPECIFIED", "PERSON", "LOCATION", "ORGANIZATION", "EVENT", "WORK_OF_ART", "CONSUMER_GOOD", "OTHER", "PHONE_NUMBER", "ADDRESS", "DATE", "NUMBER", "PRICE" ] }, "salience": { "type": "number", "format": "float", "description": "The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient." }, "sentiment": { "description": "The aggregate sentiment expressed for this entity in the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData" } }, "id": "GoogleCloudContactcenterinsightsV1mainEntity", "type": "object", "description": "The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location." }, "GoogleCloudContactcenterinsightsV1mainDialogflowIntent": { "properties": { "displayName": { "description": "The human-readable name of the intent.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainDialogflowIntent", "type": "object", "description": "The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE." }, "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig": { "properties": { "deidentifyTemplate": { "type": "string", "description": "The fully-qualified DLP deidentify template resource name. Format: `projects/{project}/deidentifyTemplates/{template}`" }, "inspectTemplate": { "type": "string", "description": "The fully-qualified DLP inspect template resource name. Format: `projects/{project}/locations/{location}/inspectTemplates/{template}`" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig", "type": "object", "description": "DLP resources used for redaction while ingesting conversations. DLP settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint or the Dialogflow / Agent Assist runtime integrations. When using Dialogflow / Agent Assist runtime integrations, redaction should be performed in Dialogflow / Agent Assist." }, "GoogleCloudContactcenterinsightsV1alpha1ListIssuesResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListIssuesResponse", "type": "object", "description": "The response of listing issues.", "properties": { "issues": { "type": "array", "description": "The issues that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" } } } }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscript": { "properties": { "createTime": { "readOnly": true, "description": "Output only. The create time of the conversation.", "type": "string", "format": "google-datetime" }, "messages": { "type": "array", "description": "Ordered list of messages, including user inputs and system responses.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessage" } }, "conversationId": { "description": "The conversation id of the chart.", "type": "string" }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The update time of the conversation.", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscript", "type": "object", "description": "The conversation transcript for the chart." }, "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadata": { "properties": { "partialErrors": { "readOnly": true, "type": "array", "description": "Output only. Partial errors during sample conversations operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } }, "request": { "description": "Output only. The original request for sample conversations to dataset.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest", "readOnly": true }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "sampleConversationsStats": { "description": "Output only. Statistics for SampleConversations operation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadataSampleConversationsStats", "readOnly": true } }, "description": "The metadata for an SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SettingsDiagnosticMetricConfig": { "properties": { "metrics": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1MetricDefinition" }, "type": "object", "description": "Optional. A map of diagnostic metrics. The key is a unique identifier for the metric (e.g., \"containment\")." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SettingsDiagnosticMetricConfig", "type": "object", "description": "Configuration for diagnostic metrics." }, "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsResponse": { "description": "The response to an SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1TuneQaScorecardRevisionRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1TuneQaScorecardRevisionRequest", "type": "object", "description": "Request for TuneQaScorecardRevision endpoint.", "properties": { "filter": { "description": "Required. Filter for selecting the feedback labels that needs to be used for training. This filter can be used to limit the feedback labels used for tuning to a feedback labels created or updated for a specific time-window etc.", "type": "string" }, "validateOnly": { "description": "Optional. Run in validate only mode, no fine tuning will actually run. Data quality validations like training data distributions will run. Even when set to false, the data quality validations will still run but once the validations complete we will proceed with the fine tune, if applicable.", "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelMetadata": { "properties": { "request": { "description": "The original export request.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequest" }, "endTime": { "description": "The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "description": "The time the operation was created.", "type": "string", "format": "google-datetime" } }, "description": "Metadata used for export issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet": { "id": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet", "type": "object", "description": "An AuthorizedViewSet contains a set of AuthorizedView resources.", "properties": { "createTime": { "readOnly": true, "description": "Output only. Create time.", "type": "string", "format": "google-datetime" }, "displayName": { "type": "string", "description": "Display Name. Limit 64 characters." }, "name": { "description": "Identifier. The resource name of the AuthorizedViewSet. Format: projects/{project}/locations/{location}/authorizedViewSets/{authorized_view_set}", "type": "string" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. Update time." } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponse": { "description": "The response for generative insights.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponse", "type": "object", "properties": { "generativeResponses": { "type": "array", "description": "The full list of generative responses. Each response is ordered by time.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponse" } }, "transcript": { "description": "The transcript of the generative insights conversation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscript" } } }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsRequest": { "properties": { "dimensions": { "description": "The dimensions that determine the grouping key for the query. Defaults to no dimension if this field is unspecified. If a dimension is specified, its key must also be specified. Each dimension's key must be unique. If a time granularity is also specified, metric values in the dimension will be bucketed by this granularity. Up to one dimension is supported for now.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dimension" }, "type": "array" }, "measureMask": { "description": "Measures to return. Defaults to all measures if this field is unspecified. A valid mask should traverse from the `measure` field from the response. For example, a path from a measure mask to get the conversation count is \"conversation_measure.count\".", "type": "string", "format": "google-fieldmask" }, "filter": { "type": "string", "description": "Required. Filter to select a subset of conversations to compute the metrics. Must specify a window of the conversation create time to compute the metrics. The returned metrics will be from the range [DATE(starting create time), DATE(ending create time)). " }, "timeGranularity": { "enumDescriptions": [ "The time granularity is unspecified and will default to NONE.", "No time granularity. The response won't contain a time series. This is the default value if no time granularity is specified.", "Data points in the time series will aggregate at a daily granularity. 1 day means [midnight to midnight).", "Data points in the time series will aggregate at a daily granularity. 1 HOUR means [01:00 to 02:00).", "Data points in the time series will aggregate at a daily granularity. PER_MINUTE means [01:00 to 01:01).", "Data points in the time series will aggregate at a 1 minute granularity. PER_5_MINUTES means [01:00 to 01:05).", "Data points in the time series will aggregate at a monthly granularity. 1 MONTH means [01st of the month to 1st of the next month)." ], "enum": [ "TIME_GRANULARITY_UNSPECIFIED", "NONE", "DAILY", "HOURLY", "PER_MINUTE", "PER_5_MINUTES", "MONTHLY" ], "description": "The time granularity of each data point in the time series. Defaults to NONE if this field is unspecified.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsRequest", "type": "object", "description": "The request for querying metrics." }, "GoogleCloudContactcenterinsightsV1PhraseMatchData": { "description": "The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match.", "id": "GoogleCloudContactcenterinsightsV1PhraseMatchData", "type": "object", "properties": { "phraseMatcher": { "description": "The unique identifier (the resource name) of the phrase matcher.", "type": "string" }, "displayName": { "type": "string", "description": "The human-readable name of the phrase matcher." } } }, "GoogleCloudContactcenterinsightsV1mainDeployIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainDeployIssueModelMetadata", "type": "object", "description": "Metadata for deploying an issue model.", "properties": { "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "request": { "description": "The original request for deployment.", "$ref": "GoogleCloudContactcenterinsightsV1mainDeployIssueModelRequest" } } }, "GoogleCloudContactcenterinsightsV1QueryPerformanceOverviewMetadata": { "description": "The metadata for querying performance overview.", "id": "GoogleCloudContactcenterinsightsV1QueryPerformanceOverviewMetadata", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultQaTagResult": { "properties": { "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score the tag applies to." }, "potentialScore": { "description": "The potential score the tag applies to.", "type": "number", "format": "double" }, "tag": { "description": "The tag the score applies to.", "type": "string" }, "score": { "type": "number", "format": "double", "description": "The score the tag applies to." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultQaTagResult", "type": "object", "description": "Tags and their corresponding results." }, "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagRequest": { "properties": { "qaQuestionTag": { "description": "Required. The QaQuestionTag to update.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "updateMask": { "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `qa_question_tag_name` - the name of the tag * `qa_question_ids` - the list of questions the tag applies to", "type": "string", "format": "google-fieldmask" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagRequest", "type": "object", "description": "The request for updating a QaQuestionTag." }, "GoogleCloudContactcenterinsightsV1alpha1DialogflowSource": { "id": "GoogleCloudContactcenterinsightsV1alpha1DialogflowSource", "type": "object", "description": "A Dialogflow source of conversation data.", "properties": { "dialogflowConversation": { "type": "string", "description": "Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}", "readOnly": true }, "audioUri": { "type": "string", "description": "Cloud Storage URI that points to a file that contains the conversation audio." } } }, "GoogleCloudContactcenterinsightsV1IssueMatchData": { "description": "The data for an issue match annotation.", "id": "GoogleCloudContactcenterinsightsV1IssueMatchData", "type": "object", "properties": { "issueAssignment": { "description": "Information about the issue's assignment.", "$ref": "GoogleCloudContactcenterinsightsV1IssueAssignment" } } }, "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadataSampleConversationsStats": { "properties": { "failedSampleCount": { "type": "integer", "format": "int32", "description": "Output only. The number of objects which were unable to be sampled due to errors. The errors are populated in the partial_errors field.", "readOnly": true }, "successfulSampleCount": { "description": "Output only. The number of new conversations added during this sample operation.", "type": "integer", "format": "int32", "readOnly": true } }, "description": "Statistics for SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadataSampleConversationsStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessage": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessage", "type": "object", "description": "A message from the system in response to the user. This message can also be a message from the user as historical context for multiturn conversations with the system.", "properties": { "generatedSqlQuery": { "description": "Raw SQL from LLM, before templatization", "type": "string" }, "textOutput": { "description": "A direct natural language response to the user message.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessageTextOutput" }, "chartSpec": { "description": "Chart spec from LLM", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." } } } }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsResponse", "type": "object", "description": "The response to an IngestConversations operation.", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponseTextOutput": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponseTextOutput", "type": "object", "description": "Wrapper for text output.", "properties": { "textType": { "enumDescriptions": [ "The type is unspecified.", "The text is part of LLM reasoning.", "The text is the final answer from LLM.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "type": "string", "description": "The type of text output." }, "text": { "description": "The text output from the LLM.", "items": { "type": "string" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainToolCall": { "properties": { "input": { "readOnly": true, "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "description": "Output only. The input arguments to the tool.", "type": "object" }, "toolName": { "readOnly": true, "type": "string", "description": "Output only. The name of the tool being called." } }, "description": "A tool call from the agent.", "id": "GoogleCloudContactcenterinsightsV1mainToolCall", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDiagnosticReportIntentStats": { "id": "GoogleCloudContactcenterinsightsV1mainDiagnosticReportIntentStats", "type": "object", "description": "A breakdown of metrics grouped by intent.", "properties": { "conversationCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The number of conversations associated with this intent." }, "lossPatterns": { "readOnly": true, "description": "Output only. A list of loss patterns identified for this intent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainLossPattern" }, "type": "array" }, "intentDisplayName": { "type": "string", "description": "Output only. The display name of the intent.", "readOnly": true }, "intentId": { "type": "string", "description": "Output only. The unique identifier for the intent (from Discovery Engine).", "readOnly": true }, "metrics": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainMetricValue" }, "deprecated": true, "type": "object", "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponse": { "properties": { "textMessage": { "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponseTextOutput" }, "generatedSqlQuery": { "type": "string", "description": "The generated SQL query from the LLM. Will be populated during the chart building phase. The generated SQL will be cached in the corresponding chart resource." }, "textOutput": { "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response.", "deprecated": true, "type": "string" }, "chartSpec": { "type": "object", "description": "The chart spec for the data. This will be specified in the vega-lite or vega format.", "additionalProperties": { "description": "Properties of the object.", "type": "any" } } }, "description": "Wrapper for storing the generative response for a chart.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadata": { "properties": { "dataset": { "description": "The dataset used for sampling conversations.", "type": "string" }, "stats": { "description": "The statistics for the operation.", "$ref": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStats" }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true } }, "description": "Metadata for testing correlation config.", "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1InterruptionData": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1InterruptionData", "type": "object", "description": "The data for an interruption annotation." }, "GoogleCloudContactcenterinsightsV1UndeployIssueModelRequest": { "description": "The request to undeploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1UndeployIssueModelRequest", "type": "object", "properties": { "name": { "type": "string", "description": "Required. The issue model to undeploy." } } }, "GoogleCloudContactcenterinsightsV1IssueModelLabelStatsIssueStats": { "properties": { "labeledConversationsCount": { "description": "Number of conversations attached to the issue at this point in time.", "type": "string", "format": "int64" }, "issue": { "type": "string", "description": "Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}" }, "displayName": { "description": "Display name of the issue.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1IssueModelLabelStatsIssueStats", "type": "object", "description": "Aggregated statistics about an issue." }, "GoogleCloudCesV1mainBlob": { "properties": { "mimeType": { "description": "Required. The IANA standard MIME type of the source data.", "type": "string" }, "data": { "type": "string", "format": "byte", "description": "Required. Raw bytes of the blob." } }, "id": "GoogleCloudCesV1mainBlob", "type": "object", "description": "Represents a blob input or output in the conversation." }, "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest": { "description": "The request to export insights.", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest", "type": "object", "properties": { "kmsKey": { "description": "A fully qualified KMS key name for BigQuery tables protected by CMEK. Format: projects/{project}/locations/{location}/keyRings/{keyring}/cryptoKeys/{key}/cryptoKeyVersions/{version}", "type": "string" }, "writeDisposition": { "description": "Options for what to do if the destination table already exists.", "type": "string", "enumDescriptions": [ "Write disposition is not specified. Defaults to WRITE_TRUNCATE.", "If the table already exists, BigQuery will overwrite the table data and use the schema from the load.", "If the table already exists, BigQuery will append data to the table." ], "enum": [ "WRITE_DISPOSITION_UNSPECIFIED", "WRITE_TRUNCATE", "WRITE_APPEND" ] }, "parent": { "type": "string", "description": "Required. The parent resource to export data from." }, "bigQueryDestination": { "description": "Specified if sink is a BigQuery table.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequestBigQueryDestination" }, "filter": { "description": "A filter to reduce results to a specific subset. Useful for exporting conversations with specific properties.", "type": "string" }, "exportSchemaVersion": { "description": "Optional. Version of the export schema.", "type": "string", "enumDescriptions": [ "Unspecified. Defaults to EXPORT_V3.", "Export schema version 1.", "Export schema version 2.", "Export schema version 3.", "Export schema version 4.", "Export schema version 5.", "Export schema version 6.", "Export schema version 7.", "Export schema version 8.", "Export schema version 9.", "Export schema version 10.", "Export schema version 11.", "Export schema version 12.", "Export schema version 13.", "Export schema version 14.", "Export schema version 15.", "Export schema version 16.", "Export schema version 17.", "Export schema version latest available." ], "enum": [ "EXPORT_SCHEMA_VERSION_UNSPECIFIED", "EXPORT_V1", "EXPORT_V2", "EXPORT_V3", "EXPORT_V4", "EXPORT_V5", "EXPORT_V6", "EXPORT_V7", "EXPORT_V8", "EXPORT_V9", "EXPORT_V10", "EXPORT_V11", "EXPORT_V12", "EXPORT_V13", "EXPORT_V14", "EXPORT_V15", "EXPORT_V16", "EXPORT_V17", "EXPORT_VERSION_LATEST_AVAILABLE" ] } } }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionPredefinedQuestionConfig": { "properties": { "type": { "description": "The type of the predefined question.", "type": "string", "enumDescriptions": [ "The type of the predefined question is unspecified.", "A prebuilt classifier classfying the outcome of the conversation. For example, if the customer issue mentioned in a conversation has been resolved or not.", "A prebuilt classifier classfying the initiator of the conversation escalation. For example, if it was initiated by the customer or the agent." ], "enum": [ "PREDEFINED_QUESTION_TYPE_UNSPECIFIED", "CONVERSATION_OUTCOME", "CONVERSATION_OUTCOME_ESCALATION_INITIATOR_ROLE" ] } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionPredefinedQuestionConfig", "type": "object", "description": "Configuration for a predefined question. This field will only be set if the Question Type is predefined." }, "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelResponse": { "properties": {}, "description": "The response to undeploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainQaAnswer": { "id": "GoogleCloudContactcenterinsightsV1mainQaAnswer", "type": "object", "description": "An answer to a QaQuestion.", "properties": { "questionBody": { "description": "Question text. E.g., \"Did the agent greet the customer?\"", "type": "string" }, "qaQuestion": { "description": "The QaQuestion answered by this answer.", "type": "string" }, "conversation": { "description": "The conversation the answer applies to.", "type": "string" }, "answerSources": { "type": "array", "description": "Lists all answer sources containing one or more answer values of a specific source type, e.g., all system-generated answer sources, or all manual edit answer sources.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerSource" } }, "tags": { "type": "array", "description": "User-defined list of arbitrary tags. Matches the value from QaScorecard.ScorecardQuestion.tags. Used for grouping/organization and for weighting the score of each answer.", "items": { "type": "string" } }, "answerValue": { "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead.", "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue" } } }, "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResult": { "properties": { "conversationA": { "description": "The first conversation resource name.", "type": "string" }, "conversationB": { "type": "string", "description": "The second conversation resource name." }, "ruleConstraintResults": { "description": "The results for each applicable constraint rule.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResultRuleConstraintResult" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResult", "type": "object", "description": "The result of testing a constraint expression on a pair of conversations." }, "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig", "type": "object", "description": "Speech-to-Text configuration. Speech-to-Text settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint.", "properties": { "speechRecognizer": { "description": "The fully-qualified Speech Recognizer resource name. Format: `projects/{project_id}/locations/{location}/recognizer/{recognizer}`", "type": "string" }, "disableWordTimeOffsets": { "type": "boolean", "description": "Whether to disable word time offsets. If true, the `enable_word_time_offsets` field in the recognition config will be set to false." } } }, "GoogleCloudContactcenterinsightsV1alpha1Dataset": { "id": "GoogleCloudContactcenterinsightsV1alpha1Dataset", "type": "object", "description": "Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)", "properties": { "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. Dataset update time.", "readOnly": true }, "type": { "enumDescriptions": [ "Default value for unspecified.", "For evals only.", "Dataset with new conversations coming in regularly (Insights legacy conversations and AI trainer)" ], "enum": [ "TYPE_UNSPECIFIED", "EVAL", "LIVE" ], "description": "Dataset usage type.", "type": "string" }, "ttl": { "description": "Optional. Option TTL for the dataset.", "type": "string", "format": "google-duration" }, "description": { "description": "Dataset description.", "type": "string" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. Dataset create time." }, "name": { "description": "Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}", "type": "string" }, "displayName": { "type": "string", "description": "Display name for the dataaset" } } }, "GoogleCloudContactcenterinsightsV1mainCreateAnalysisOperationMetadata": { "description": "Metadata for a create analysis operation.", "id": "GoogleCloudContactcenterinsightsV1mainCreateAnalysisOperationMetadata", "type": "object", "properties": { "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "conversation": { "readOnly": true, "type": "string", "description": "Output only. The Conversation that this Analysis Operation belongs to." }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "annotatorSelector": { "readOnly": true, "description": "Output only. The annotator selector used for the analysis (if any).", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector" } } }, "GoogleCloudContactcenterinsightsV1DeleteIssueModelRequest": { "description": "The request to delete an issue model.", "id": "GoogleCloudContactcenterinsightsV1DeleteIssueModelRequest", "type": "object", "properties": { "name": { "description": "Required. The name of the issue model to delete.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1DimensionClientSentimentCategoryDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionClientSentimentCategoryDimensionMetadata", "type": "object", "description": "Metadata about the client sentiment category dimension.", "properties": { "sentimentCategory": { "description": "Optional. The client sentiment category.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelMetadata", "type": "object", "description": "Metadata for creating an issue model.", "properties": { "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelRequest" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainIntentMatchData": { "properties": { "intentUniqueId": { "description": "The id of the matched intent. Can be used to retrieve the corresponding intent information.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainIntentMatchData", "type": "object", "description": "The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences." }, "GoogleCloudContactcenterinsightsV1alpha1CreateIssueRequest": { "description": "The request to create an issue.", "id": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueRequest", "type": "object", "properties": { "issue": { "description": "Required. The values for the new issue.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "parent": { "type": "string", "description": "Required. The parent resource of the issue." } } }, "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsMetadata": { "properties": { "endTime": { "description": "The time the operation finished running.", "type": "string", "format": "google-datetime" }, "partialErrors": { "description": "Partial errors during bulk delete conversations operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "createTime": { "description": "The time the operation was created.", "type": "string", "format": "google-datetime" }, "request": { "description": "The original request for bulk delete.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsRequest" } }, "description": "The metadata for a bulk delete conversations operation.", "id": "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainPhraseMatchData": { "properties": { "displayName": { "type": "string", "description": "The human-readable name of the phrase matcher." }, "phraseMatcher": { "type": "string", "description": "The unique identifier (the resource name) of the phrase matcher." } }, "description": "The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match.", "id": "GoogleCloudContactcenterinsightsV1mainPhraseMatchData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelMetadata": { "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "The time the operation was created." }, "endTime": { "description": "The time the operation finished running.", "type": "string", "format": "google-datetime" }, "request": { "description": "The original import request.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequest" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelMetadata", "type": "object", "description": "Metadata used for import issue model." }, "GoogleCloudContactcenterinsightsV1alpha1HoldData": { "properties": {}, "description": "The data for a hold annotation.", "id": "GoogleCloudContactcenterinsightsV1alpha1HoldData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadata": { "description": "Conversation metadata related to quality management.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadata", "type": "object", "properties": { "feedbackLabels": { "type": "array", "description": "Input only. The feedback labels associated with the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" } }, "customerSatisfactionRating": { "description": "An arbitrary integer value indicating the customer's satisfaction rating.", "type": "integer", "format": "int32" }, "menuPath": { "description": "An arbitrary string value specifying the menu path the customer took.", "type": "string" }, "agentInfo": { "type": "array", "description": "Information about agents involved in the call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadataAgentInfo" } }, "waitDuration": { "description": "The amount of time the customer waited to connect with an agent.", "type": "string", "format": "google-duration" } } }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponseDetailedCorrelationResults": { "properties": { "constraintResults": { "description": "A list of constraint evaluation results for each pair of conversations.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResult" }, "type": "array" }, "joinKeyResults": { "description": "A list of join key correlation results for each conversation tested.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationCorrelationResult" }, "type": "array" } }, "description": "Wrapper for detailed, step-by-step results.", "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponseDetailedCorrelationResults", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainImportIssueModelResponse": { "properties": { "issueModel": { "description": "The issue model that was imported.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModel" } }, "description": "Response from import issue model", "id": "GoogleCloudContactcenterinsightsV1mainImportIssueModelResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1OutputConfigGcsDestination": { "properties": { "uri": { "description": "Required. The Cloud Storage URI to export the results to.", "type": "string" } }, "description": "Cloud Storage destination configuration.", "id": "GoogleCloudContactcenterinsightsV1alpha1OutputConfigGcsDestination", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleResponse": { "properties": { "labelResult": { "description": "The result of the test auto labeling rule.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleResponse", "type": "object", "description": "The response message for testing auto labeling rules." }, "GoogleCloudContactcenterinsightsV1CallAnnotation": { "properties": { "annotationStartBoundary": { "description": "The boundary in the conversation where the annotation starts, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotationBoundary" }, "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" }, "intentMatchData": { "description": "Data specifying an intent match.", "$ref": "GoogleCloudContactcenterinsightsV1IntentMatchData" }, "channelTag": { "type": "integer", "format": "int32", "description": "The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated." }, "annotationEndBoundary": { "description": "The boundary in the conversation where the annotation ends, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotationBoundary" }, "phraseMatchData": { "description": "Data specifying a phrase match.", "$ref": "GoogleCloudContactcenterinsightsV1PhraseMatchData" }, "entityMentionData": { "description": "Data specifying an entity mention.", "$ref": "GoogleCloudContactcenterinsightsV1EntityMentionData" }, "issueMatchData": { "description": "Data specifying an issue match.", "$ref": "GoogleCloudContactcenterinsightsV1IssueMatchData" }, "silenceData": { "description": "Data specifying silence.", "$ref": "GoogleCloudContactcenterinsightsV1SilenceData" }, "holdData": { "description": "Data specifying a hold.", "$ref": "GoogleCloudContactcenterinsightsV1HoldData" }, "interruptionData": { "description": "Data specifying an interruption.", "$ref": "GoogleCloudContactcenterinsightsV1InterruptionData" } }, "description": "A piece of metadata that applies to a window of a call.", "id": "GoogleCloudContactcenterinsightsV1CallAnnotation", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequestGcsDestination": { "description": "Google Cloud Storage Object URI to save the issue model to.", "id": "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequestGcsDestination", "type": "object", "properties": { "objectUri": { "type": "string", "description": "Required. Format: `gs:///`" } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceTimeSeries": { "description": "A time series of metric values.", "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceTimeSeries", "type": "object", "properties": { "dataPoints": { "description": "The data points that make up the time series .", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPoint" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponse": { "description": "The response of testing correlation config.", "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponse", "type": "object", "properties": { "detailedResults": { "description": "Results for the DETAILED_SYNC execution mode.", "$ref": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponseDetailedCorrelationResults" }, "partialErrors": { "type": "array", "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } } }, "GoogleIamV1AuditLogConfig": { "description": "Provides the configuration for logging a type of permissions. Example: { \"audit_log_configs\": [ { \"log_type\": \"DATA_READ\", \"exempted_members\": [ \"user:jose@example.com\" ] }, { \"log_type\": \"DATA_WRITE\" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.", "id": "GoogleIamV1AuditLogConfig", "type": "object", "properties": { "logType": { "enumDescriptions": [ "Default case. Should never be this.", "Admin reads. Example: CloudIAM getIamPolicy", "Data writes. Example: CloudSQL Users create", "Data reads. Example: CloudSQL Users list" ], "enum": [ "LOG_TYPE_UNSPECIFIED", "ADMIN_READ", "DATA_WRITE", "DATA_READ" ], "type": "string", "description": "The log type that this config enables." }, "exemptedMembers": { "type": "array", "description": "Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.", "items": { "type": "string" } } } }, "GoogleCloudContactcenterinsightsV1mainIssueMatchData": { "properties": { "issueAssignment": { "description": "Information about the issue's assignment.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueAssignment" } }, "description": "The data for an issue match annotation.", "id": "GoogleCloudContactcenterinsightsV1mainIssueMatchData", "type": "object" }, "GoogleCloudContactcenterinsightsV1DeployIssueModelMetadata": { "properties": { "request": { "description": "The original request for deployment.", "$ref": "GoogleCloudContactcenterinsightsV1DeployIssueModelRequest" }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true } }, "description": "Metadata for deploying an issue model.", "id": "GoogleCloudContactcenterinsightsV1DeployIssueModelMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentsResponse": { "description": "The response of listing assessments.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentsResponse", "type": "object", "properties": { "assessments": { "type": "array", "description": "The assessments that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" } }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } } }, "GoogleCloudContactcenterinsightsV1ListAllFeedbackLabelsResponse": { "description": "The response for listing all feedback labels.", "id": "GoogleCloudContactcenterinsightsV1ListAllFeedbackLabelsResponse", "type": "object", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "feedbackLabels": { "description": "The feedback labels that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1FeedbackLabel" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainCreateIssueModelMetadata": { "description": "Metadata for creating an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainCreateIssueModelMetadata", "type": "object", "properties": { "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1mainCreateIssueModelRequest" } } }, "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerSource": { "properties": { "answerValue": { "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead.", "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue" }, "sourceType": { "enumDescriptions": [ "Source type is unspecified.", "Answer was system-generated; created during an Insights analysis.", "Answer was created by a human via manual edit." ], "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED", "MANUAL_EDIT" ], "type": "string", "description": "What created the answer." } }, "id": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerSource", "type": "object", "description": "A question may have multiple answers from varying sources, one of which becomes the \"main\" answer above. AnswerSource represents each individual answer." }, "GoogleCloudContactcenterinsightsV1ExportInsightsDataMetadata": { "id": "GoogleCloudContactcenterinsightsV1ExportInsightsDataMetadata", "type": "object", "description": "Metadata for an export insights operation.", "properties": { "request": { "description": "The original request for export.", "$ref": "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequest" }, "completedExportCount": { "description": "The number of conversations that were exported successfully.", "type": "integer", "format": "int32" }, "partialErrors": { "type": "array", "description": "Partial errors during export operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } }, "failedExportCount": { "type": "integer", "format": "int32", "description": "The number of conversations that failed to be exported." }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequestGcsSource": { "properties": { "objectUri": { "type": "string", "description": "Required. Format: `gs:///`" } }, "description": "Google Cloud Storage Object URI to get the issue model file from.", "id": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequestGcsSource", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsRequest": { "properties": { "filter": { "description": "Filter for the data that can be specified in addition to the natural language query. Users are encouraged to use this field to populate time-windows.", "type": "string" }, "naturalLanguageQuery": { "type": "string", "description": "The natural language query specified by the user. If this field is specified, `sql_query` will be ignored." }, "revisionId": { "type": "string", "description": "Optional. The revision id that maps to the state of the chart state revision. When specified, the backend will reload the chart with the sql and visual spec from that revision." }, "chart": { "description": "The full name of the chart resource this request corresponds to. Format: projects/{project}/locations/{location}/dashboards/{dashboard}/charts/{chart}", "type": "string" }, "userProvidedChartSpec": { "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "description": "Optional. The user provided chart spec for the chart. This will be used to override the visual spec generated by the LLM.", "type": "object" }, "comparisonFilter": { "description": "Optional. Filter for the data that can be specified in addition to the natural language query. This `filter` is specifically used for charts where comparisons are possible. For example, \"compare to last month\" or \"compare to previous quarter\".", "type": "string" }, "sessionId": { "type": "string", "description": "Optional. The session id of the conversation. If the session id is not specified, backend will generate a random session id. If the session id is specified, will associate user-provided user_query with the provided session id." }, "sqlQuery": { "description": "Optional. The SQL query specified by the user. This query must be in BigQuery SQL dialect. The `filter` field will also be ignored, as it is assumed that any filtering is already included in the SQL query.", "type": "string" }, "sqlComparisonKey": { "type": "string", "description": "Optional. For charts with comparison, this key will determine the metric that will be compared between the current and another dataset." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsRequest", "type": "object", "description": "The request for generative insights." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore": { "description": "Average QA normalized score for the tag.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore", "type": "object", "properties": { "tag": { "type": "string", "description": "Tag name." }, "averageTagNormalizedScore": { "description": "Average tag normalized score per tag.", "type": "number", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1alpha1Analysis": { "properties": { "name": { "description": "Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}", "type": "string" }, "requestTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the analysis was requested." }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which the analysis was created, which occurs when the long-running operation completes.", "readOnly": true }, "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector" }, "analysisResult": { "description": "Output only. The result of the analysis, which is populated when the analysis finishes.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisResult", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1alpha1Analysis", "type": "object", "description": "The analysis resource." }, "GoogleCloudContactcenterinsightsV1ConversationDataSourceTurnLevelAudio": { "properties": { "audioGcsUri": { "type": "string", "description": "The Cloud Storage URI of the audio for any given turn." }, "audioDuration": { "type": "string", "format": "google-duration", "description": "The duration of the audio." } }, "id": "GoogleCloudContactcenterinsightsV1ConversationDataSourceTurnLevelAudio", "type": "object", "description": "A wrapper for holding the audio for any given turn." }, "GoogleCloudContactcenterinsightsV1CesTurnAnnotation": { "description": "The CES diagnostic information.", "id": "GoogleCloudContactcenterinsightsV1CesTurnAnnotation", "type": "object", "properties": { "messages": { "description": "The messages in the turn.", "items": { "$ref": "GoogleCloudCesV1mainMessage" }, "type": "array" }, "rootSpan": { "description": "The root span of the action processing.", "$ref": "GoogleCloudCesV1mainSpan" } } }, "GoogleCloudContactcenterinsightsV1alpha1DiagnosticReportIntentStats": { "description": "A breakdown of metrics grouped by intent.", "id": "GoogleCloudContactcenterinsightsV1alpha1DiagnosticReportIntentStats", "type": "object", "properties": { "conversationCount": { "readOnly": true, "description": "Output only. The number of conversations associated with this intent.", "type": "integer", "format": "int32" }, "lossPatterns": { "type": "array", "description": "Output only. A list of loss patterns identified for this intent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1LossPattern" }, "readOnly": true }, "intentId": { "readOnly": true, "description": "Output only. The unique identifier for the intent (from Discovery Engine).", "type": "string" }, "metrics": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1MetricValue" }, "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics.", "deprecated": true, "type": "object", "readOnly": true }, "intentDisplayName": { "description": "Output only. The display name of the intent.", "type": "string", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainFeedbackLabel": { "properties": { "name": { "type": "string", "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}" }, "label": { "type": "string", "description": "String label used for Topic Modeling." }, "labeledResource": { "description": "Name of the resource to be labeled. Supported resources are: * `projects/{project}/locations/{location}/qaScorecards/{scorecard}/revisions/{revision}/qaQuestions/{question}` * `projects/{project}/locations/{location}/issueModels/{issue_model}` * `projects/{project}/locations/{location}/generators/{generator_id}`", "type": "string" }, "qaAnswerLabel": { "description": "QaAnswer label used for Quality AI example conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. Update time of the label." }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. Create time of the label.", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1mainFeedbackLabel", "type": "object", "description": "Represents a conversation, resource, and label provided by the user. Can take the form of a string label or a QaAnswer label. QaAnswer labels are used for Quality AI example conversations. String labels are used for Topic Modeling. AgentAssistSummary labels are used for Agent Assist Summarization." }, "GoogleCloudContactcenterinsightsV1alpha1ChartDataSource": { "properties": { "queryMetrics": { "description": "Use the existing QueryMetrics to generate the chart.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetrics" }, "generativeInsights": { "description": "Use natural language query to generate the chart.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsights" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ChartDataSource", "type": "object", "description": "The request data for visualizing the dataset in the chart." }, "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResultRuleConstraintResult": { "properties": { "constraintMet": { "description": "Whether the constraint expression evaluated to true for (A, B) or (B, A).", "type": "boolean" }, "error": { "description": "The error status if the constraint expression failed to evaluate.", "$ref": "GoogleRpcStatus" }, "ruleId": { "description": "The rule ID.", "type": "string" } }, "description": "The result of a single constraint rule on the pair of conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResultRuleConstraintResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorSummarizationConfig": { "id": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorSummarizationConfig", "type": "object", "description": "Configuration for summarization.", "properties": { "summarizationModel": { "enumDeprecated": [ false, true, true ], "type": "string", "description": "Default summarization model to be used.", "enumDescriptions": [ "Unspecified summarization model.", "The CCAI baseline model. This model is deprecated and will be removed in the future. We recommend using `generator` instead.", "The CCAI baseline model, V2.0. This model is deprecated and will be removed in the future. We recommend using `generator` instead." ], "enum": [ "SUMMARIZATION_MODEL_UNSPECIFIED", "BASELINE_MODEL", "BASELINE_MODEL_V2_0" ] }, "conversationProfile": { "description": "Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}", "type": "string" }, "generator": { "type": "string", "description": "The resource name of the existing created generator. Format: projects//locations//generators/" } } }, "GoogleCloudContactcenterinsightsV1mainDimensionIssueDimensionMetadata": { "description": "Metadata about the issue dimension.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionIssueDimensionMetadata", "type": "object", "properties": { "issueDisplayName": { "type": "string", "description": "The issue display name." }, "issueModelId": { "description": "The parent issue model ID.", "type": "string" }, "issueId": { "type": "string", "description": "The issue ID." } } }, "GoogleCloudContactcenterinsightsV1mainIssueModelResult": { "id": "GoogleCloudContactcenterinsightsV1mainIssueModelResult", "type": "object", "description": "Issue Modeling result on a conversation.", "properties": { "issues": { "description": "All the matched issues.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainIssueAssignment" }, "type": "array" }, "issueModel": { "type": "string", "description": "Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}" } } }, "GoogleCloudContactcenterinsightsV1alpha1EncryptionSpec": { "properties": { "name": { "type": "string", "description": "Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec" }, "kmsKey": { "description": "Required. The name of customer-managed encryption key that is used to secure a resource and its sub-resources. If empty, the resource is secured by our default encryption key. Only the key in the same location as this resource is allowed to be used for encryption. Format: `projects/{project}/locations/{location}/keyRings/{keyRing}/cryptoKeys/{key}`", "type": "string" } }, "description": "A customer-managed encryption key specification that can be applied to all created resources (e.g. `Conversation`).", "id": "GoogleCloudContactcenterinsightsV1alpha1EncryptionSpec", "type": "object" }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadataDownloadStats": { "properties": { "totalFilesWritten": { "type": "integer", "format": "int32", "description": "Total number of files written to the provided Cloud Storage bucket." }, "fileNames": { "readOnly": true, "type": "array", "description": "Output only. Full name of the files written to Cloud storage.", "items": { "type": "string" } }, "processedObjectCount": { "description": "The number of objects processed during the download operation.", "type": "integer", "format": "int32" }, "successfulDownloadCount": { "type": "integer", "format": "int32", "description": "The number of new feedback labels downloaded during this operation. Different from \"processed\" because some labels might not be downloaded because an error." } }, "description": "Statistics for BulkDownloadFeedbackLabels operation.", "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadataDownloadStats", "type": "object" }, "GoogleIamV1TestIamPermissionsRequest": { "properties": { "permissions": { "type": "array", "description": "The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).", "items": { "type": "string" } } }, "id": "GoogleIamV1TestIamPermissionsRequest", "type": "object", "description": "Request message for `TestIamPermissions` method." }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadataDownloadStats": { "description": "Statistics for BulkDownloadFeedbackLabels operation.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadataDownloadStats", "type": "object", "properties": { "totalFilesWritten": { "description": "Total number of files written to the provided Cloud Storage bucket.", "type": "integer", "format": "int32" }, "fileNames": { "readOnly": true, "type": "array", "description": "Output only. Full name of the files written to Cloud storage.", "items": { "type": "string" } }, "processedObjectCount": { "type": "integer", "format": "int32", "description": "The number of objects processed during the download operation." }, "successfulDownloadCount": { "type": "integer", "format": "int32", "description": "The number of new feedback labels downloaded during this operation. Different from \"processed\" because some labels might not be downloaded because an error." } } }, "GoogleCloudContactcenterinsightsV1mainIssueAssignment": { "properties": { "score": { "type": "number", "format": "double", "description": "Score indicating the likelihood of the issue assignment. currently bounded on [0,1]." }, "issue": { "type": "string", "description": "Resource name of the assigned issue." }, "displayName": { "description": "Immutable. Display name of the assigned issue. This field is set at time of analysis and immutable since then.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainIssueAssignment", "type": "object", "description": "Information about the issue." }, "GoogleCloudContactcenterinsightsV1GenerativeInsightsMetadata": { "properties": { "errorMessages": { "description": "The error message when the generative insights request fails.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } }, "description": "The metadata for generative insights.", "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessage": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessage", "type": "object", "description": "The message in the conversation.", "properties": { "userMessage": { "description": "A message from the user that is interacting with the system.", "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageUserMessage" }, "createTime": { "description": "Output only. For user messages, this is the time at which the system received the message. For system messages, this is the time at which the system generated the message.", "type": "string", "format": "google-datetime", "readOnly": true }, "systemMessageWrapper": { "description": "A wrapper for system messages per turn.", "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessages" }, "messageId": { "type": "string", "description": "The message id of the message." } } }, "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadataAgentInfo": { "description": "Information about an agent involved in the conversation.", "id": "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadataAgentInfo", "type": "object", "properties": { "team": { "description": "A user-specified string representing the agent's team. Deprecated in favor of the `teams` field.", "deprecated": true, "type": "string" }, "deploymentId": { "description": "The agent's deployment ID. Only applicable to automated agents.", "type": "string" }, "entrySubagentDisplayName": { "type": "string", "description": "The entry subagent's display name." }, "dispositionCode": { "description": "A user-provided string indicating the outcome of the agent's segment of the call.", "type": "string" }, "teams": { "description": "User-specified strings representing the agent's teams.", "items": { "type": "string" }, "type": "array" }, "agentType": { "type": "string", "description": "The agent type, e.g. HUMAN_AGENT.", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ] }, "deploymentDisplayName": { "type": "string", "description": "The agent's deployment display name. Only applicable to automated agents." }, "versionDisplayName": { "description": "The agent's version display name. Only applicable to automated agents.", "type": "string" }, "versionId": { "description": "The agent's version ID. Only applicable to automated agents.", "type": "string" }, "displayName": { "type": "string", "description": "The agent's name." }, "agentId": { "description": "A user-specified string representing the agent.", "type": "string" }, "location": { "type": "string", "description": "The agent's location." } } }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSlice": { "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSlice", "type": "object", "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request. For example, if the request specifies a single ISSUE dimension and it has a cardinality of 2 (i.e. the data used to compute the metrics has 2 issues in total), the response will have 2 slices: * Slice 1 -\u003e dimensions=[Issue 1] * Slice 2 -\u003e dimensions=[Issue 2]", "properties": { "total": { "description": "The total metric value. The interval of this data point is [starting create time, ending create time) from the request.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPoint" }, "timeSeries": { "description": "A time series of metric values. This is only populated if the request specifies a time granularity other than NONE.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceTimeSeries" }, "dimensions": { "type": "array", "description": "A unique combination of dimensions that this slice represents.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1Dimension" } } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsMetadata", "type": "object", "description": "The metadata from querying metrics.", "properties": { "resultIsTruncated": { "description": "Whether the result rows were truncated because the result row size is too large to materialize.", "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsMetadata": { "properties": { "errorMessages": { "description": "The error message when the generative insights request fails.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsMetadata", "type": "object", "description": "The metadata for generative insights." }, "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelRequest": { "id": "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelRequest", "type": "object", "description": "The request to delete an issue model.", "properties": { "name": { "description": "Required. The name of the issue model to delete.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata": { "properties": { "smartReplyAllowlistCovered": { "type": "boolean", "description": "Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist." } }, "description": "Metadata from Dialogflow relating to the current transcript segment.", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1RedactionConfig": { "properties": { "deidentifyTemplate": { "description": "The fully-qualified DLP deidentify template resource name. Format: `projects/{project}/deidentifyTemplates/{template}`", "type": "string" }, "inspectTemplate": { "description": "The fully-qualified DLP inspect template resource name. Format: `projects/{project}/locations/{location}/inspectTemplates/{template}`", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1RedactionConfig", "type": "object", "description": "DLP resources used for redaction while ingesting conversations. DLP settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint or the Dialogflow / Agent Assist runtime integrations. When using Dialogflow / Agent Assist runtime integrations, redaction should be performed in Dialogflow / Agent Assist." }, "GoogleCloudContactcenterinsightsV1alpha1NoteConversationTurnNote": { "properties": { "turnIndex": { "type": "integer", "format": "int32", "description": "The conversation turn index that the note is associated with." } }, "description": "A note about a conversation turn.", "id": "GoogleCloudContactcenterinsightsV1alpha1NoteConversationTurnNote", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsResponse": { "description": "The response for a bulk delete conversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainRedactionConfig": { "properties": { "deidentifyTemplate": { "type": "string", "description": "The fully-qualified DLP deidentify template resource name. Format: `projects/{project}/deidentifyTemplates/{template}`" }, "inspectTemplate": { "description": "The fully-qualified DLP inspect template resource name. Format: `projects/{project}/locations/{location}/inspectTemplates/{template}`", "type": "string" } }, "description": "DLP resources used for redaction while ingesting conversations. DLP settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint or the Dialogflow / Agent Assist runtime integrations. When using Dialogflow / Agent Assist runtime integrations, redaction should be performed in Dialogflow / Agent Assist.", "id": "GoogleCloudContactcenterinsightsV1mainRedactionConfig", "type": "object" }, "GoogleIamV1SetIamPolicyRequest": { "properties": { "policy": { "description": "REQUIRED: The complete policy to be applied to the `resource`. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.", "$ref": "GoogleIamV1Policy" }, "updateMask": { "description": "OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only the fields in the mask will be modified. If no mask is provided, the following default mask is used: `paths: \"bindings, etag\"`", "type": "string", "format": "google-fieldmask" } }, "description": "Request message for `SetIamPolicy` method.", "id": "GoogleIamV1SetIamPolicyRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationLevelSentiment": { "properties": { "channelTag": { "description": "The channel of the audio that the data applies to.", "type": "integer", "format": "int32" }, "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationLevelSentiment", "type": "object", "description": "One channel of conversation-level sentiment data." }, "GoogleCloudContactcenterinsightsV1mainSmartComposeSuggestionData": { "properties": { "suggestion": { "description": "The content of the suggestion.", "type": "string" }, "metadata": { "description": "Map that contains metadata about the Smart Compose suggestion and the document from which it originates.", "type": "object", "additionalProperties": { "type": "string" } }, "confidenceScore": { "type": "number", "format": "double", "description": "The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain)." }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" } }, "description": "Agent Assist Smart Compose suggestion data.", "id": "GoogleCloudContactcenterinsightsV1mainSmartComposeSuggestionData", "type": "object" }, "GoogleCloudContactcenterinsightsV1FeedbackLabel": { "properties": { "name": { "type": "string", "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}" }, "label": { "description": "String label used for Topic Modeling.", "type": "string" }, "qaAnswerLabel": { "description": "QaAnswer label used for Quality AI example conversations.", "$ref": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue" }, "labeledResource": { "description": "Name of the resource to be labeled. Supported resources are: * `projects/{project}/locations/{location}/qaScorecards/{scorecard}/revisions/{revision}/qaQuestions/{question}` * `projects/{project}/locations/{location}/issueModels/{issue_model}` * `projects/{project}/locations/{location}/generators/{generator_id}`", "type": "string" }, "updateTime": { "description": "Output only. Update time of the label.", "type": "string", "format": "google-datetime", "readOnly": true }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. Create time of the label." } }, "id": "GoogleCloudContactcenterinsightsV1FeedbackLabel", "type": "object", "description": "Represents a conversation, resource, and label provided by the user. Can take the form of a string label or a QaAnswer label. QaAnswer labels are used for Quality AI example conversations. String labels are used for Topic Modeling. AgentAssistSummary labels are used for Agent Assist Summarization." }, "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequest", "type": "object", "description": "The request for bulk uploading feedback labels.", "properties": { "validateOnly": { "type": "boolean", "description": "Optional. If set, upload will not happen and the labels will be validated. If not set, then default behavior will be to upload the labels after validation is complete." }, "sheetsSource": { "description": "A sheets document source.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestSheetsSource" }, "gcsSource": { "description": "A cloud storage bucket source.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestGcsSource" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListDashboardsResponse": { "properties": { "dashboards": { "description": "The dashboards under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "type": "array" }, "nextPageToken": { "description": "The value returned by the last `ListDashboardsResponse`. This value indicates that this is a continuation of a prior `ListDashboards` call and that the system should return the next page of data.", "type": "string" } }, "description": "The response of listing dashboards.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListDashboardsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionDimensionMetadata", "type": "object", "description": "Metadata about the QA question dimension.", "properties": { "questionBody": { "type": "string", "description": "Optional. The full body of the question." }, "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" }, "qaQuestionId": { "type": "string", "description": "Optional. The QA question ID." } } }, "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResult": { "properties": { "conversationA": { "description": "The first conversation resource name.", "type": "string" }, "conversationB": { "description": "The second conversation resource name.", "type": "string" }, "ruleConstraintResults": { "description": "The results for each applicable constraint rule.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResultRuleConstraintResult" }, "type": "array" } }, "description": "The result of testing a constraint expression on a pair of conversations.", "id": "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversation": { "description": "The conversation resource.", "id": "GoogleCloudContactcenterinsightsV1mainConversation", "type": "object", "properties": { "ttl": { "description": "Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.", "type": "string", "format": "google-duration" }, "latestSummary": { "readOnly": true, "description": "Output only. Latest summary of the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationSummarizationSuggestionData" }, "obfuscatedUserId": { "type": "string", "description": "Obfuscated user ID which the customer sent to us." }, "labels": { "type": "object", "description": "A map for the user to specify any custom fields. A maximum of 100 labels per conversation is allowed, with a maximum of 256 characters per entry.", "additionalProperties": { "type": "string" } }, "expireTime": { "type": "string", "format": "google-datetime", "description": "The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted." }, "medium": { "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "description": "Immutable. The conversation medium.", "type": "string" }, "agentId": { "description": "An opaque, user-specified string representing the human agent who handled the conversation.", "type": "string" }, "turnCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The number of turns in the conversation." }, "updateTime": { "description": "Output only. The most recent time at which the conversation was updated.", "type": "string", "format": "google-datetime", "readOnly": true }, "transcript": { "readOnly": true, "description": "Output only. The conversation transcript.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscript" }, "qualityMetadata": { "description": "Conversation metadata related to quality management.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadata" }, "name": { "type": "string", "description": "Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}" }, "runtimeAnnotations": { "readOnly": true, "description": "Output only. The annotations that were generated during the customer and agent interaction.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotation" }, "type": "array" }, "duration": { "readOnly": true, "description": "Output only. The duration of the conversation.", "type": "string", "format": "google-duration" }, "callMetadata": { "description": "Call-specific metadata.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationCallMetadata" }, "latestAnalysis": { "readOnly": true, "description": "Output only. The conversation's latest analysis, if one exists.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnalysis" }, "startTime": { "description": "The time at which the conversation started.", "type": "string", "format": "google-datetime" }, "dialogflowIntents": { "readOnly": true, "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainDialogflowIntent" }, "description": "Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}", "type": "object" }, "metadataJson": { "type": "string", "description": "Input only. JSON metadata encoded as a string. This field is primarily used by Insights integrations with various telephony systems and must be in one of Insight's supported formats." }, "dataSource": { "description": "The source of the audio and transcription for the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationDataSource" }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the conversation was created." }, "correlationInfo": { "readOnly": true, "description": "Output only. Info for correlating across conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationInfo" }, "languageCode": { "description": "A user-specified language code for the conversation.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadata", "type": "object", "description": "Metadata for testing correlation config.", "properties": { "dataset": { "description": "The dataset used for sampling conversations.", "type": "string" }, "stats": { "description": "The statistics for the operation.", "$ref": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStats" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" } } }, "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView": { "properties": { "displayName": { "description": "Display Name. Limit 64 characters.", "type": "string" }, "name": { "description": "Identifier. The resource name of the AuthorizedView. Format: projects/{project}/locations/{location}/authorizedViewSets/{authorized_view_set}/authorizedViews/{authorized_view}", "type": "string" }, "conversationFilter": { "type": "string", "description": "A filter to reduce conversation results to a specific subset. The AuthorizedView's assigned permission (read/write) could be applied to the subset of conversations. If conversation_filter is empty, there is no restriction on the conversations that the AuthorizedView can access. Having *authorizedViews.get* access to the AuthorizedView means having the same read/write access to the Conversations (as well as metadata/annotations linked to the conversation) that this AuthorizedView has." }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the authorized view was created." }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the authorized view was updated.", "readOnly": true } }, "description": "An AuthorizedView represents a view of accessible Insights resources (for example, Conversation and Scorecard). Who have read access to the AuthorizedView resource will have access to these Insight resources as well.", "id": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView", "type": "object" }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestSheetsDestination": { "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestSheetsDestination", "type": "object", "description": "Google Sheets document details to write the feedback labels to.", "properties": { "spreadsheetUri": { "description": "Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA. The spreadsheet ID written to will be returned as `file_names` in the BulkDownloadFeedbackLabelsMetadata.", "type": "string" }, "sheetTitle": { "type": "string", "description": "Optional. The title of the new sheet to write the feedback labels to." } } }, "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationProfileDimensionMetadata": { "properties": { "conversationProfileId": { "type": "string", "description": "Optional. The conversation profile ID." } }, "description": "Metadata about the conversation profile dimension.", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationProfileDimensionMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1SilenceData": { "properties": {}, "description": "The data for a silence annotation.", "id": "GoogleCloudContactcenterinsightsV1SilenceData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1OutputConfigBigQueryDestination": { "properties": { "table": { "type": "string", "description": "Required. The BigQuery table name." }, "projectId": { "description": "Optional. A project ID or number.", "type": "string" }, "dataset": { "description": "Required. The name of the BigQuery dataset.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1OutputConfigBigQueryDestination", "type": "object", "description": "BigQuery destination configuration." }, "GoogleCloudContactcenterinsightsV1mainSentimentData": { "description": "The data for a sentiment annotation.", "id": "GoogleCloudContactcenterinsightsV1mainSentimentData", "type": "object", "properties": { "magnitude": { "type": "number", "format": "float", "description": "A non-negative number from 0 to infinity which represents the absolute magnitude of sentiment regardless of score." }, "score": { "type": "number", "format": "float", "description": "The sentiment score between -1.0 (negative) and 1.0 (positive)." } } }, "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequestBigQueryDestination": { "properties": { "dataset": { "type": "string", "description": "Required. The name of the BigQuery dataset that the snapshot result should be exported to. If this dataset does not exist, the export call returns an INVALID_ARGUMENT error." }, "table": { "description": "The BigQuery table name to which the insights data should be written. If this table does not exist, the export call returns an INVALID_ARGUMENT error.", "type": "string" }, "projectId": { "description": "A project ID or number. If specified, then export will attempt to write data to this project instead of the resource project. Otherwise, the resource project will be used.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequestBigQueryDestination", "type": "object", "description": "A BigQuery Table Reference." }, "GoogleCloudContactcenterinsightsV1mainDataset": { "description": "Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)", "id": "GoogleCloudContactcenterinsightsV1mainDataset", "type": "object", "properties": { "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. Dataset update time.", "readOnly": true }, "description": { "type": "string", "description": "Dataset description." }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. Dataset create time.", "readOnly": true }, "type": { "enumDescriptions": [ "Default value for unspecified.", "For evals only.", "Dataset with new conversations coming in regularly (Insights legacy conversations and AI trainer)" ], "enum": [ "TYPE_UNSPECIFIED", "EVAL", "LIVE" ], "type": "string", "description": "Dataset usage type." }, "ttl": { "type": "string", "format": "google-duration", "description": "Optional. Option TTL for the dataset." }, "name": { "description": "Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}", "type": "string" }, "displayName": { "description": "Display name for the dataaset", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1UserInfo": { "id": "GoogleCloudContactcenterinsightsV1alpha1UserInfo", "type": "object", "description": "Information about a user.", "properties": { "username": { "description": "The user's username.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1DialogflowInteractionData": { "id": "GoogleCloudContactcenterinsightsV1DialogflowInteractionData", "type": "object", "description": "Dialogflow interaction data.", "properties": { "dialogflowIntentId": { "type": "string", "description": "The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}" }, "confidence": { "type": "number", "format": "float", "description": "The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain)." } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessages": { "properties": { "systemMessages": { "description": "A message from the system in response to the user.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessage" }, "type": "array" } }, "description": "A wrapper for system messages per turn.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessages", "type": "object" }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessages": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessages", "type": "object", "description": "A wrapper for system messages per turn.", "properties": { "systemMessages": { "description": "A message from the system in response to the user.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessage" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput": { "description": "A text output message from the system.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput", "type": "object", "properties": { "text": { "description": "The parts of the message.", "items": { "type": "string" }, "type": "array" }, "textType": { "description": "The type of the text message.", "type": "string", "enumDescriptions": [ "The default text type.", "The text is a thinking plan generated by the thinking tool.", "The text is a final response to the user question.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ] } } }, "GoogleCloudContactcenterinsightsV1ArticleSuggestionData": { "properties": { "metadata": { "additionalProperties": { "type": "string" }, "type": "object", "description": "Map that contains metadata about the Article Suggestion and the document that it originates from." }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}", "type": "string" }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" }, "title": { "type": "string", "description": "Article title." }, "uri": { "type": "string", "description": "Article URI." }, "confidenceScore": { "type": "number", "format": "float", "description": "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)." } }, "id": "GoogleCloudContactcenterinsightsV1ArticleSuggestionData", "type": "object", "description": "Agent Assist Article Suggestion data." }, "GoogleCloudContactcenterinsightsV1alpha1Assessment": { "properties": { "agentInfo": { "description": "Information about the agent the assessment is for.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadataAgentInfo" }, "name": { "description": "Identifier. The resource name of the assessment. Format: projects/{project}/locations/{location}/conversations/{conversation}/assessments/{assessment}", "type": "string" }, "state": { "type": "string", "description": "Output only. The state of the assessment.", "readOnly": true, "enumDescriptions": [ "The state is unspecified. This value should not be used.", "The default state of all new assessments.", "The assessment has been published.", "The assessment has been appealed.", "The assessment has been finalized." ], "enum": [ "STATE_UNSPECIFIED", "DRAFT", "PUBLISHED", "APPEALED", "FINALIZED" ] }, "createTime": { "readOnly": true, "description": "Output only. The time at which the assessment was created.", "type": "string", "format": "google-datetime" }, "updateTime": { "readOnly": true, "description": "Output only. The time at which the assessment was last updated.", "type": "string", "format": "google-datetime" } }, "description": "The assessment resource.", "id": "GoogleCloudContactcenterinsightsV1alpha1Assessment", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResultRuleCorrelationResult": { "properties": { "correlationId": { "description": "The correlation ID generated by the join key expression.", "type": "string" }, "error": { "description": "The error status if the join key expression failed to evaluate.", "$ref": "GoogleRpcStatus" }, "ruleId": { "description": "The rule ID.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResultRuleCorrelationResult", "type": "object", "description": "The result of a single correlation rule." }, "GoogleCloudContactcenterinsightsV1mainDiagnoseConversationsMetadata": { "properties": { "fullReport": { "readOnly": true, "type": "boolean", "description": "Output only. If true, the agent generated a full diagnostic report for all sub-agents." }, "request": { "description": "Output only. The request that created the operation.", "$ref": "GoogleCloudContactcenterinsightsV1mainDiagnoseConversationsRequest", "readOnly": true }, "latestStep": { "description": "Output only. The most recent thought or action from the agent.", "$ref": "GoogleCloudContactcenterinsightsV1mainSherlockStep", "readOnly": true }, "partialTrajectories": { "readOnly": true, "description": "Output only. Deprecated: Use partial_trajectory_steps instead. The intermediate trajectory updates (partial trajectory).", "deprecated": true, "type": "array", "items": { "type": "string" } }, "diagnosticReport": { "description": "Output only. The diagnostic report containing metrics and intent breakdowns.", "$ref": "GoogleCloudContactcenterinsightsV1mainDiagnosticReport", "readOnly": true }, "metricType": { "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "DIAGNOSTIC_METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ], "description": "Output only. The type of metric being diagnosed.", "type": "string", "readOnly": true }, "partialTrajectorySteps": { "type": "array", "description": "Output only. The intermediate trajectory updates. This can be used for live progress tracking of the agent's thoughts and actions as it works through the analysis.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainSherlockStep" }, "readOnly": true }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true } }, "description": "Metadata for a DiagnoseConversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainDiagnoseConversationsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure": { "properties": { "percentileTtsLatency": { "description": "The percentile result for TTS latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileLlmCallLatency": { "description": "The percentile result for LLM latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileEndToEndLatency": { "description": "The percentile result for end to end chat latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileToolUseLatency": { "description": "The percentile result for tool use latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileAudioInAudioOutLatency": { "description": "The percentile result for audio in audio out latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult" } }, "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure", "type": "object", "description": "The measure related to dialogflow interactions." }, "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio": { "description": "A wrapper for holding the audio for any given turn.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio", "type": "object", "properties": { "audioGcsUri": { "type": "string", "description": "The Cloud Storage URI of the audio for any given turn." }, "audioDuration": { "type": "string", "format": "google-duration", "description": "The duration of the audio." } } }, "GoogleCloudContactcenterinsightsV1alpha1IssueModelInputDataConfig": { "description": "Configs for the input data used to create the issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModelInputDataConfig", "type": "object", "properties": { "medium": { "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "description": "Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.", "deprecated": true, "type": "string" }, "trainingConversationsCount": { "readOnly": true, "type": "string", "format": "int64", "description": "Output only. Number of conversations used in training. Output only." }, "filter": { "description": "A filter to reduce the conversations used for training the model to a specific subset. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainDimensionConversationProfileDimensionMetadata": { "properties": { "conversationProfileId": { "description": "Optional. The conversation profile ID.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainDimensionConversationProfileDimensionMetadata", "type": "object", "description": "Metadata about the conversation profile dimension." }, "GoogleCloudContactcenterinsightsV1UploadConversationMetadata": { "properties": { "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "analysisOperation": { "readOnly": true, "type": "string", "description": "Output only. The operation name for a successfully created analysis operation, if any." }, "appliedRedactionConfig": { "readOnly": true, "description": "Output only. The redaction config applied to the uploaded conversation.", "$ref": "GoogleCloudContactcenterinsightsV1RedactionConfig" }, "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1UploadConversationRequest" } }, "id": "GoogleCloudContactcenterinsightsV1UploadConversationMetadata", "type": "object", "description": "The metadata for an `UploadConversation` operation." }, "GoogleCloudContactcenterinsightsV1ExportIssueModelRequestGcsDestination": { "description": "Google Cloud Storage Object URI to save the issue model to.", "id": "GoogleCloudContactcenterinsightsV1ExportIssueModelRequestGcsDestination", "type": "object", "properties": { "objectUri": { "description": "Required. Format: `gs:///`", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1SampleRule": { "description": "Message for sampling conversations.", "id": "GoogleCloudContactcenterinsightsV1SampleRule", "type": "object", "properties": { "conversationFilter": { "description": "To specify the filter for the conversions that should apply this sample rule. An empty filter means this sample rule applies to all conversations.", "type": "string" }, "samplePercentage": { "description": "Percentage of conversations that we should sample based on the dimension between [0, 100].", "type": "number", "format": "double" }, "sampleRow": { "description": "Number of the conversations that we should sample based on the dimension.", "type": "string", "format": "int64" }, "dimension": { "type": "string", "description": "Optional. Group by dimension to sample the conversation. If no dimension is provided, the sampling will be applied to the project level. Current supported dimensions is 'quality_metadata.agent_info.agent_id'." } } }, "GoogleCloudContactcenterinsightsV1DimensionAgentDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1DimensionAgentDimensionMetadata", "type": "object", "description": "Metadata about the agent dimension.", "properties": { "agentDisplayName": { "description": "Optional. The agent's name This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentDisplayName": { "description": "Optional. The agent's deployment display name. Only applicable to automated agents. This will be populated for AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentVersionId": { "type": "string", "description": "Optional. The agent's version ID. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions." }, "agentVersionDisplayName": { "description": "Optional. The agent's version display name. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentTeam": { "type": "string", "description": "Optional. A user-specified string representing the agent's team." }, "agentId": { "description": "Optional. A user-specified string representing the agent. This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentId": { "type": "string", "description": "Optional. The agent's deployment ID. Only applicable to automated agents. This will be populated for AGENT and AGENT_DEPLOYMENT_ID dimensions." } } }, "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsRequest": { "properties": { "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING" }, "parent": { "description": "Required. The parent resource for new feedback labels.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsRequest", "type": "object", "description": "Request for the BulkDeleteFeedbackLabels endpoint." }, "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecRequest": { "properties": { "encryptionSpec": { "description": "Required. The encryption spec used for CMEK encryption. It is required that the kms key is in the same region as the endpoint. The same key will be used for all provisioned resources, if encryption is available. If the `kms_key_name` field is left empty, no encryption will be enforced.", "$ref": "GoogleCloudContactcenterinsightsV1EncryptionSpec" } }, "id": "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecRequest", "type": "object", "description": "The request to initialize a location-level encryption specification." }, "GoogleCloudContactcenterinsightsV1alpha1ChartAction": { "properties": { "redirectAction": { "description": "Redirect action.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedirectAction" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ChartAction", "type": "object", "description": "The action to be taken when the chart is clicked." }, "GoogleCloudContactcenterinsightsV1DimensionIssueDimensionMetadata": { "properties": { "issueId": { "description": "The issue ID.", "type": "string" }, "issueDisplayName": { "description": "The issue display name.", "type": "string" }, "issueModelId": { "description": "The parent issue model ID.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DimensionIssueDimensionMetadata", "type": "object", "description": "Metadata about the issue dimension." }, "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecMetadata": { "description": "Metadata for initializing a location-level encryption specification.", "id": "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecMetadata", "type": "object", "properties": { "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "partialErrors": { "description": "Partial errors during initializing operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "request": { "readOnly": true, "description": "Output only. The original request for initialization.", "$ref": "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecRequest" } } }, "GoogleCloudContactcenterinsightsV1mainSmartReplyData": { "description": "Agent Assist Smart Reply data.", "id": "GoogleCloudContactcenterinsightsV1mainSmartReplyData", "type": "object", "properties": { "confidenceScore": { "type": "number", "format": "double", "description": "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)." }, "reply": { "description": "The content of the reply.", "type": "string" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "metadata": { "additionalProperties": { "type": "string" }, "description": "Map that contains metadata about the Smart Reply and the document from which it originates.", "type": "object" } } }, "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary": { "properties": { "wordIndex": { "type": "integer", "format": "int32", "description": "The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero." }, "transcriptIndex": { "type": "integer", "format": "int32", "description": "The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary", "type": "object", "description": "A point in a conversation that marks the start or the end of an annotation." }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore": { "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore", "type": "object", "description": "Average QA normalized score for the tag.", "properties": { "tag": { "description": "Tag name.", "type": "string" }, "averageTagNormalizedScore": { "description": "Average tag normalized score per tag.", "type": "number", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1QaScorecardResult": { "id": "GoogleCloudContactcenterinsightsV1QaScorecardResult", "type": "object", "description": "The results of scoring a single conversation against a QaScorecard. Contains a collection of QaAnswers and aggregate score.", "properties": { "qaScorecardRevision": { "type": "string", "description": "The QaScorecardRevision scored by this result." }, "potentialScore": { "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation.", "type": "number", "format": "double" }, "score": { "type": "number", "format": "double", "description": "The overall numerical score of the result, incorporating any manual edits if they exist." }, "normalizedScore": { "description": "The normalized score, which is the score divided by the potential score. Any manual edits are included if they exist.", "type": "number", "format": "double" }, "scoreSources": { "type": "array", "description": "List of all individual score sets.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaScorecardResultScoreSource" } }, "agentId": { "type": "string", "description": "ID of the agent that handled the conversation." }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The timestamp that the revision was created." }, "qaAnswers": { "type": "array", "description": "Set of QaAnswers represented in the result.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaAnswer" } }, "conversation": { "type": "string", "description": "The conversation scored by this result." }, "qaTagResults": { "description": "Collection of tags and their scores.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaScorecardResultQaTagResult" }, "type": "array" }, "name": { "type": "string", "description": "Identifier. The name of the scorecard result. Format: projects/{project}/locations/{location}/qaScorecardResults/{qa_scorecard_result}" } } }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestGcsDestination": { "properties": { "objectUri": { "description": "Required. The Google Cloud Storage URI to write the feedback labels to. The file name will be used as a prefix for the files written to the bucket if the output needs to be split across multiple files, otherwise it will be used as is. The file extension will be appended to the file name based on the format selected. E.g. `gs://bucket_name/object_uri_prefix`", "type": "string" }, "addWhitespace": { "type": "boolean", "description": "Optional. Add whitespace to the JSON file. Makes easier to read, but increases file size. Only applicable for JSON format." }, "alwaysPrintEmptyFields": { "description": "Optional. Always print fields with no presence. This is useful for printing fields that are not set, like implicit 0 value or empty lists/maps. Only applicable for JSON format.", "type": "boolean" }, "format": { "enumDescriptions": [ "Unspecified format.", "CSV format. 1,000 labels are stored per CSV file by default.", "JSON format. 1 label stored per JSON file by default." ], "enum": [ "FORMAT_UNSPECIFIED", "CSV", "JSON" ], "description": "Required. File format in which the labels will be exported.", "type": "string" }, "recordsPerFileCount": { "description": "Optional. The number of records per file. Applicable for either format.", "type": "string", "format": "int64" } }, "description": "Google Cloud Storage Object details to write the feedback labels to.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestGcsDestination", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainUploadConversationRequest": { "properties": { "conversationId": { "type": "string", "description": "Optional. 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}$`. Valid characters are `a-z-`" }, "speechConfig": { "description": "Optional. Speech-to-Text configuration. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1mainSpeechConfig" }, "parent": { "description": "Required. The parent resource of the conversation.", "type": "string" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1mainRedactionConfig" }, "conversation": { "description": "Required. The conversation resource to create.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversation" } }, "id": "GoogleCloudContactcenterinsightsV1mainUploadConversationRequest", "type": "object", "description": "Request to upload a conversation." }, "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse": { "description": "The response for calculating conversation statistics.", "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse", "type": "object", "properties": { "issueMatches": { "additionalProperties": { "type": "integer", "format": "int32" }, "description": "A map associating each issue resource name with its respective number of matches in the set of conversations. Key has the format: `projects//locations//issueModels//issues/` Deprecated, use `issue_matches_stats` field instead.", "deprecated": true, "type": "object" }, "averageTurnCount": { "description": "The average number of turns per conversation.", "type": "integer", "format": "int32" }, "conversationCountTimeSeries": { "description": "A time series representing the count of conversations created over time that match that requested filter criteria.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeries" }, "smartHighlighterMatches": { "type": "object", "description": "A map associating each smart highlighter display name with its respective number of matches in the set of conversations.", "additionalProperties": { "type": "integer", "format": "int32" } }, "issueMatchesStats": { "type": "object", "description": "A map associating each issue resource name with its respective number of matches in the set of conversations. Key has the format: `projects//locations//issueModels//issues/`", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStatsIssueStats" } }, "conversationCount": { "type": "integer", "format": "int32", "description": "The total number of conversations." }, "customHighlighterMatches": { "additionalProperties": { "type": "integer", "format": "int32" }, "type": "object", "description": "A map associating each custom highlighter resource name with its respective number of matches in the set of conversations." }, "averageDuration": { "type": "string", "format": "google-duration", "description": "The average duration of all conversations. The average is calculated using only conversations that have a time duration." } } }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError": { "properties": { "conversation": { "description": "The conversation resource name that had an error during correlation.", "type": "string" }, "status": { "description": "The error status.", "$ref": "GoogleRpcStatus" } }, "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError", "type": "object", "description": "An error that occurred during correlation for a specific conversation." }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsMetadata": { "properties": { "request": { "description": "The original request for bulk delete.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsRequest" }, "createTime": { "type": "string", "format": "google-datetime", "description": "The time the operation was created." }, "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." }, "partialErrors": { "type": "array", "description": "Partial errors during bulk delete conversations operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } }, "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsMetadata", "type": "object", "description": "The metadata for a bulk delete conversations operation." }, "GoogleCloudContactcenterinsightsV1mainQaScorecardResultQaTagResult": { "id": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultQaTagResult", "type": "object", "description": "Tags and their corresponding results.", "properties": { "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score the tag applies to." }, "potentialScore": { "type": "number", "format": "double", "description": "The potential score the tag applies to." }, "tag": { "description": "The tag the score applies to.", "type": "string" }, "score": { "description": "The score the tag applies to.", "type": "number", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1DeployIssueModelResponse": { "description": "The response to deploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1DeployIssueModelResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardsResponse", "type": "object", "description": "The response from a ListQaScorecards request.", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "qaScorecards": { "type": "array", "description": "The QaScorecards under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" } } } }, "GoogleCloudContactcenterinsightsV1mainCesTurnAnnotation": { "properties": { "messages": { "type": "array", "description": "The messages in the turn.", "items": { "$ref": "GoogleCloudCesV1mainMessage" } }, "rootSpan": { "description": "The root span of the action processing.", "$ref": "GoogleCloudCesV1mainSpan" } }, "id": "GoogleCloudContactcenterinsightsV1mainCesTurnAnnotation", "type": "object", "description": "The CES diagnostic information." }, "GoogleCloudContactcenterinsightsV1alpha1Widget": { "properties": { "chart": { "description": "A chart widget.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "filter": { "type": "string", "description": "Filter applied to all charts in the container. Should support scope later." }, "container": { "description": "A container widget.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Container" }, "chartReference": { "type": "string", "description": "A reference to a chart widget. Format: projects/{project}/locations/{location}/dashboards/{dashboard}/charts/{chart}" } }, "description": "Represents a dashboard element, could be a nested Container or Chart.", "id": "GoogleCloudContactcenterinsightsV1alpha1Widget", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsPlaybookDimensionMetadata": { "properties": { "playbookId": { "description": "Optional. The dialogflow playbook ID.", "type": "string" }, "playbookDisplayName": { "description": "Optional. The dialogflow playbook display name.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsPlaybookDimensionMetadata", "type": "object", "description": "Metadata about the Conversational Agents playbook dimension." }, "GoogleCloudContactcenterinsightsV1CreateIssueRequest": { "properties": { "issue": { "description": "Required. The values for the new issue.", "$ref": "GoogleCloudContactcenterinsightsV1Issue" }, "parent": { "type": "string", "description": "Required. The parent resource of the issue." } }, "id": "GoogleCloudContactcenterinsightsV1CreateIssueRequest", "type": "object", "description": "The request to create an issue." }, "GoogleCloudContactcenterinsightsV1alpha1DeployQaScorecardRevisionRequest": { "description": "The request to deploy a QaScorecardRevision", "id": "GoogleCloudContactcenterinsightsV1alpha1DeployQaScorecardRevisionRequest", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1OutputConfigBigQueryDestination": { "description": "BigQuery destination configuration.", "id": "GoogleCloudContactcenterinsightsV1OutputConfigBigQueryDestination", "type": "object", "properties": { "dataset": { "type": "string", "description": "Required. The name of the BigQuery dataset." }, "projectId": { "description": "Optional. A project ID or number.", "type": "string" }, "table": { "type": "string", "description": "Required. The BigQuery table name." } } }, "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest": { "properties": { "analysisPercentage": { "type": "number", "format": "float", "description": "Required. Percentage of selected conversation to analyze, between [0, 100]." }, "relabel": { "description": "Optional. If true, the labeling rules will be re-evaluated for the conversations.", "type": "boolean" }, "filter": { "type": "string", "description": "Required. Filter used to select the subset of conversations to analyze." }, "parent": { "description": "Required. The parent resource to create analyses in.", "type": "string" }, "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector" } }, "description": "The request to analyze conversations in bulk.", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DiagnoseConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DiagnoseConversationsMetadata", "type": "object", "description": "Metadata for a DiagnoseConversations operation.", "properties": { "fullReport": { "readOnly": true, "type": "boolean", "description": "Output only. If true, the agent generated a full diagnostic report for all sub-agents." }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "partialTrajectorySteps": { "type": "array", "description": "Output only. The intermediate trajectory updates. This can be used for live progress tracking of the agent's thoughts and actions as it works through the analysis.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SherlockStep" }, "readOnly": true }, "partialTrajectories": { "items": { "type": "string" }, "readOnly": true, "description": "Output only. Deprecated: Use partial_trajectory_steps instead. The intermediate trajectory updates (partial trajectory).", "deprecated": true, "type": "array" }, "diagnosticReport": { "description": "Output only. The diagnostic report containing metrics and intent breakdowns.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DiagnosticReport", "readOnly": true }, "metricType": { "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "DIAGNOSTIC_METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ], "type": "string", "description": "Output only. The type of metric being diagnosed.", "readOnly": true }, "request": { "readOnly": true, "description": "Output only. The request that created the operation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DiagnoseConversationsRequest" }, "latestStep": { "readOnly": true, "description": "Output only. The most recent thought or action from the agent.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SherlockStep" } } }, "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecMetadata": { "properties": { "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "partialErrors": { "description": "Partial errors during initializing operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "request": { "readOnly": true, "description": "Output only. The original request for initialization.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecRequest" } }, "description": "Metadata for initializing a location-level encryption specification.", "id": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecMetadata", "type": "object" }, "GoogleRpcStatus": { "properties": { "code": { "description": "The status code, which should be an enum value of google.rpc.Code.", "type": "integer", "format": "int32" }, "message": { "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", "type": "string" }, "details": { "type": "array", "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "items": { "type": "object", "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL.", "type": "any" } } } }, "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "id": "GoogleRpcStatus", "type": "object" }, "GoogleCloudContactcenterinsightsV1ToolCall": { "id": "GoogleCloudContactcenterinsightsV1ToolCall", "type": "object", "description": "A tool call from the agent.", "properties": { "toolName": { "description": "Output only. The name of the tool being called.", "type": "string", "readOnly": true }, "input": { "readOnly": true, "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object", "description": "Output only. The input arguments to the tool." } } }, "GoogleCloudContactcenterinsightsV1mainQueryPerformanceOverviewMetadata": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainQueryPerformanceOverviewMetadata", "type": "object", "description": "The metadata for querying performance overview." }, "GoogleCloudContactcenterinsightsV1alpha1UploadConversationMetadata": { "properties": { "analysisOperation": { "readOnly": true, "type": "string", "description": "Output only. The operation name for a successfully created analysis operation, if any." }, "appliedRedactionConfig": { "description": "Output only. The redaction config applied to the uploaded conversation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig", "readOnly": true }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true }, "request": { "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1UploadConversationRequest", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1alpha1UploadConversationMetadata", "type": "object", "description": "The metadata for an `UploadConversation` operation." }, "GoogleCloudContactcenterinsightsV1mainDimensionAgentDimensionMetadata": { "description": "Metadata about the agent dimension.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionAgentDimensionMetadata", "type": "object", "properties": { "agentId": { "type": "string", "description": "Optional. A user-specified string representing the agent. This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions." }, "agentDeploymentId": { "description": "Optional. The agent's deployment ID. Only applicable to automated agents. This will be populated for AGENT and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentTeam": { "description": "Optional. A user-specified string representing the agent's team.", "type": "string" }, "agentVersionDisplayName": { "description": "Optional. The agent's version display name. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentVersionId": { "description": "Optional. The agent's version ID. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentDisplayName": { "type": "string", "description": "Optional. The agent's deployment display name. Only applicable to automated agents. This will be populated for AGENT_DEPLOYMENT_ID dimensions." }, "agentDisplayName": { "description": "Optional. The agent's name This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1ExportIssueModelResponse": { "id": "GoogleCloudContactcenterinsightsV1ExportIssueModelResponse", "type": "object", "description": "Response from export issue model", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelResponse", "type": "object", "description": "The response to undeploy an issue model.", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1SearchAuthorizedViewsResponse": { "properties": { "authorizedViews": { "type": "array", "description": "The AuthorizedViews under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" } }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SearchAuthorizedViewsResponse", "type": "object", "description": "The response from a ListAuthorizedViews request." }, "GoogleCloudContactcenterinsightsV1ConversationDataSource": { "properties": { "gcsSource": { "description": "A Cloud Storage location specification for the audio and transcript.", "$ref": "GoogleCloudContactcenterinsightsV1GcsSource" }, "dialogflowSource": { "description": "The source when the conversation comes from Dialogflow.", "$ref": "GoogleCloudContactcenterinsightsV1DialogflowSource" }, "metadataUri": { "type": "string", "description": "Cloud Storage URI that points to a file that contains the conversation metadata." }, "turnLevelAudios": { "type": "array", "description": "Cloud Storage URIs that points to files that contain the conversation audio for each turn. Assume the order of the URIs is the same as the order of the transcript turns.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationDataSourceTurnLevelAudio" } } }, "id": "GoogleCloudContactcenterinsightsV1ConversationDataSource", "type": "object", "description": "The conversation source, which is a combination of transcript and audio." }, "GoogleCloudContactcenterinsightsV1mainConversationParticipant": { "id": "GoogleCloudContactcenterinsightsV1mainConversationParticipant", "type": "object", "description": "The call participant speaking for a given utterance.", "properties": { "role": { "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ], "type": "string", "description": "The role of the participant." }, "dialogflowParticipant": { "deprecated": true, "type": "string", "description": "Deprecated. Use `dialogflow_participant_name` instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}" }, "userId": { "type": "string", "description": "A user-specified ID representing the participant." }, "dialogflowParticipantName": { "type": "string", "description": "The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}" }, "obfuscatedExternalUserId": { "type": "string", "description": "Obfuscated user ID from Dialogflow." } } }, "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequest": { "description": "Request to export an issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequest", "type": "object", "properties": { "name": { "type": "string", "description": "Required. The issue model to export." }, "gcsDestination": { "description": "Google Cloud Storage URI to export the issue model to.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequestGcsDestination" } } }, "GoogleCloudContactcenterinsightsV1ImportIssueModelMetadata": { "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "The time the operation was created." }, "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." }, "request": { "description": "The original import request.", "$ref": "GoogleCloudContactcenterinsightsV1ImportIssueModelRequest" } }, "id": "GoogleCloudContactcenterinsightsV1ImportIssueModelMetadata", "type": "object", "description": "Metadata used for import issue model." }, "GoogleCloudContactcenterinsightsV1alpha1IssueAssignment": { "id": "GoogleCloudContactcenterinsightsV1alpha1IssueAssignment", "type": "object", "description": "Information about the issue.", "properties": { "issue": { "description": "Resource name of the assigned issue.", "type": "string" }, "displayName": { "type": "string", "description": "Immutable. Display name of the assigned issue. This field is set at time of analysis and immutable since then." }, "score": { "type": "number", "format": "double", "description": "Score indicating the likelihood of the issue assignment. currently bounded on [0,1]." } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult": { "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult", "type": "object", "description": "The percentile result. Currently supported percentiles are 50th, 90th, and 99th.", "properties": { "p99": { "type": "number", "format": "double", "description": "The 99th percentile value." }, "p50": { "type": "number", "format": "double", "description": "The 50th percentile value." }, "p90": { "description": "The 90th percentile value.", "type": "number", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListAutoLabelingRulesResponse": { "properties": { "autoLabelingRules": { "type": "array", "description": "The auto labeling rules.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" } }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } }, "description": "The response message for listing auto labeling rules.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListAutoLabelingRulesResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegment": { "description": "A segment of a full transcript.", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegment", "type": "object", "properties": { "sentiment": { "description": "The sentiment for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" }, "words": { "type": "array", "description": "A list of the word-specific information for each word in the segment.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfo" } }, "dialogflowSegmentMetadata": { "description": "CCAI metadata relating to the current transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata" }, "channelTag": { "description": "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.", "type": "integer", "format": "int32" }, "messageTime": { "description": "The time that the message occurred, if provided.", "type": "string", "format": "google-datetime" }, "segmentParticipant": { "description": "The participant of this segment.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationParticipant" }, "confidence": { "type": "number", "format": "float", "description": "A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset." }, "turnLevelAudio": { "description": "Turn level audio for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationDataSourceTurnLevelAudio" }, "text": { "type": "string", "description": "The text of this segment." }, "languageCode": { "description": "The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: \"en-US\".", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1IssueMatchData": { "properties": { "issueAssignment": { "description": "Information about the issue's assignment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueAssignment" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1IssueMatchData", "type": "object", "description": "The data for an issue match annotation." }, "GoogleCloudContactcenterinsightsV1mainOutputConfig": { "properties": { "gcsDestination": { "description": "Optional. Export to a Cloud Storage bucket.", "$ref": "GoogleCloudContactcenterinsightsV1mainOutputConfigGcsDestination" }, "googleSheetsDestination": { "description": "Optional. Export directly to a Google Sheet.", "$ref": "GoogleCloudContactcenterinsightsV1mainOutputConfigGoogleSheetsDestination" }, "bigqueryDestination": { "description": "Optional. Export to BigQuery.", "$ref": "GoogleCloudContactcenterinsightsV1mainOutputConfigBigQueryDestination" } }, "description": "Configuration for where to export or return the analysis findings.", "id": "GoogleCloudContactcenterinsightsV1mainOutputConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1InterruptionData": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1alpha1InterruptionData", "type": "object", "description": "The data for an interruption annotation." }, "GoogleCloudContactcenterinsightsV1ConversationQualityMetadataAgentInfo": { "description": "Information about an agent involved in the conversation.", "id": "GoogleCloudContactcenterinsightsV1ConversationQualityMetadataAgentInfo", "type": "object", "properties": { "agentType": { "description": "The agent type, e.g. HUMAN_AGENT.", "type": "string", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ] }, "teams": { "description": "User-specified strings representing the agent's teams.", "items": { "type": "string" }, "type": "array" }, "deploymentDisplayName": { "description": "The agent's deployment display name. Only applicable to automated agents.", "type": "string" }, "team": { "deprecated": true, "type": "string", "description": "A user-specified string representing the agent's team. Deprecated in favor of the `teams` field." }, "dispositionCode": { "type": "string", "description": "A user-provided string indicating the outcome of the agent's segment of the call." }, "deploymentId": { "description": "The agent's deployment ID. Only applicable to automated agents.", "type": "string" }, "entrySubagentDisplayName": { "type": "string", "description": "The entry subagent's display name." }, "displayName": { "type": "string", "description": "The agent's name." }, "agentId": { "type": "string", "description": "A user-specified string representing the agent." }, "location": { "type": "string", "description": "The agent's location." }, "versionId": { "type": "string", "description": "The agent's version ID. Only applicable to automated agents." }, "versionDisplayName": { "description": "The agent's version display name. Only applicable to automated agents.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainExportIssueModelResponse": { "description": "Response from export issue model", "id": "GoogleCloudContactcenterinsightsV1mainExportIssueModelResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector": { "description": "Selector of all available annotators and phrase matchers to run.", "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector", "type": "object", "properties": { "phraseMatchers": { "description": "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}", "items": { "type": "string" }, "type": "array" }, "runAutoLabelingAnnotator": { "type": "boolean", "description": "Optional. Whether to run the auto-labeling annotator. If true, the auto-labeling annotator will be run. This is a non-billable operation designed for fixing or backfilling custom labels." }, "runSentimentAnnotator": { "type": "boolean", "description": "Whether to run the sentiment annotator." }, "qaConfig": { "description": "Configuration for the QA annotator.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfig" }, "runSilenceAnnotator": { "type": "boolean", "description": "Whether to run the silence annotator." }, "runIntentAnnotator": { "type": "boolean", "description": "Whether to run the intent annotator." }, "issueModels": { "type": "array", "description": "The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.", "items": { "type": "string" } }, "runIssueModelAnnotator": { "type": "boolean", "description": "Whether to run the issue model annotator. A model should have already been deployed for this to take effect." }, "runPhraseMatcherAnnotator": { "type": "boolean", "description": "Whether to run the active phrase matcher annotator(s)." }, "runEntityAnnotator": { "type": "boolean", "description": "Whether to run the entity annotator." }, "runSummarizationAnnotator": { "description": "Whether to run the summarization annotator.", "type": "boolean" }, "runInterruptionAnnotator": { "type": "boolean", "description": "Whether to run the interruption annotator." }, "runQaAnnotator": { "type": "boolean", "description": "Whether to run the QA annotator." }, "summarizationConfig": { "description": "Configuration for the summarization annotator.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorSummarizationConfig" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListAnalysisRulesResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListAnalysisRulesResponse", "type": "object", "description": "The response of listing views.", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "analysisRules": { "description": "The analysis_rule that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainListFeedbackLabelsResponse": { "description": "The response for listing feedback labels.", "id": "GoogleCloudContactcenterinsightsV1mainListFeedbackLabelsResponse", "type": "object", "properties": { "nextPageToken": { "description": "The next page token.", "type": "string" }, "feedbackLabels": { "type": "array", "description": "The feedback labels that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainFeedbackLabel" } } } }, "GoogleCloudContactcenterinsightsV1mainAnalysisResultCallAnalysisMetadata": { "properties": { "annotations": { "description": "A list of call annotations that apply to this call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainCallAnnotation" }, "type": "array" }, "entities": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainEntity" }, "type": "object", "description": "All the entities in the call." }, "phraseMatchers": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainPhraseMatchData" }, "description": "All the matched phrase matchers in the call.", "type": "object" }, "sentiments": { "description": "Overall conversation-level sentiment for each channel of the call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationLevelSentiment" }, "type": "array" }, "silence": { "description": "Overall conversation-level silence during the call.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationLevelSilence" }, "qaScorecardResults": { "type": "array", "description": "Results of scoring QaScorecards.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaScorecardResult" } }, "intents": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainIntent" }, "type": "object", "description": "All the matched intents in the call." }, "issueModelResult": { "description": "Overall conversation-level issue modeling result.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModelResult" } }, "description": "Call-specific metadata created during analysis.", "id": "GoogleCloudContactcenterinsightsV1mainAnalysisResultCallAnalysisMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionMetrics": { "properties": { "accuracy": { "type": "number", "format": "double", "description": "Output only. Accuracy of the model. Measures the percentage of correct answers the model gave on the test set.", "readOnly": true } }, "description": "A wrapper representing metrics calculated against a test-set on a LLM that was fine tuned for this question.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionMetrics", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequestConversations": { "description": "Wrapper for a list of conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequestConversations", "type": "object", "properties": { "conversations": { "description": "Optional. The conversations.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionsResponse": { "properties": { "qaQuestions": { "description": "The QaQuestions under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "type": "array" }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionsResponse", "type": "object", "description": "The response from a ListQaQuestions request." }, "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelRequest": { "description": "The request to delete an issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelRequest", "type": "object", "properties": { "name": { "description": "Required. The name of the issue model to delete.", "type": "string" } } }, "GoogleCloudCesV1mainAgentTransfer": { "id": "GoogleCloudCesV1mainAgentTransfer", "type": "object", "description": "Represents an event indicating the transfer of a conversation to a different agent.", "properties": { "targetAgent": { "description": "Required. The agent to which the conversation is being transferred. The agent will handle the conversation from this point forward. Format: `projects/{project}/locations/{location}/apps/{app}/agents/{agent}`", "type": "string" }, "displayName": { "description": "Output only. Display name of the agent.", "type": "string", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStats": { "description": "Statistics for TestCorrelationConfig operation.", "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStats", "type": "object", "properties": { "sampledConversationsCount": { "description": "The number of conversations sampled.", "type": "integer", "format": "int32" }, "partialErrors": { "type": "array", "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } }, "conversationCorrelationErrors": { "description": "A list of errors that occurred during correlation, one for each conversation that failed.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError" }, "type": "array" }, "correlatedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations correlated." }, "failedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations that failed correlation." } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSource": { "properties": { "gcsSource": { "description": "A Cloud Storage location specification for the audio and transcript.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GcsSource" }, "metadataUri": { "description": "Cloud Storage URI that points to a file that contains the conversation metadata.", "type": "string" }, "turnLevelAudios": { "type": "array", "description": "Cloud Storage URIs that points to files that contain the conversation audio for each turn. Assume the order of the URIs is the same as the order of the transcript turns.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio" } }, "dialogflowSource": { "description": "The source when the conversation comes from Dialogflow.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DialogflowSource" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSource", "type": "object", "description": "The conversation source, which is a combination of transcript and audio." }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata": { "description": "Metadata from Dialogflow relating to the current transcript segment.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata", "type": "object", "properties": { "smartReplyAllowlistCovered": { "type": "boolean", "description": "Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist." } } }, "GoogleCloudContactcenterinsightsV1mainExportIssueModelMetadata": { "description": "Metadata used for export issue model.", "id": "GoogleCloudContactcenterinsightsV1mainExportIssueModelMetadata", "type": "object", "properties": { "request": { "description": "The original export request.", "$ref": "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequest" }, "endTime": { "description": "The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "type": "string", "format": "google-datetime", "description": "The time the operation was created." } } }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponse": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponse", "type": "object", "description": "Wrapper for storing the generative response for a chart.", "properties": { "chartSpec": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "The chart spec for the data. This will be specified in the vega-lite or vega format.", "type": "object" }, "textOutput": { "deprecated": true, "type": "string", "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response." }, "generatedSqlQuery": { "type": "string", "description": "The generated SQL query from the LLM. Will be populated during the chart building phase. The generated SQL will be cached in the corresponding chart resource." }, "textMessage": { "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response.", "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponseTextOutput" } } }, "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataResponse": { "description": "Response for an export insights operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainDeployIssueModelResponse": { "description": "The response to deploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainDeployIssueModelResponse", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponse": { "properties": { "transcript": { "description": "The transcript of the generative insights conversation.", "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscript" }, "generativeResponses": { "description": "The full list of generative responses. Each response is ordered by time.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponse" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponse", "type": "object", "description": "The response for generative insights." }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessage": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessage", "type": "object", "description": "The message in the conversation.", "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "For user messages, this is the time at which the system received the message. For system messages, this is the time at which the system generated the message." }, "userMessage": { "description": "A message from the user that is interacting with the system.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageUserMessage" }, "systemMessage": { "description": "A message from the system in response to the user.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessage" }, "messageId": { "description": "The message id of the message.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponseDetailedCorrelationResults": { "description": "Wrapper for detailed, step-by-step results.", "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponseDetailedCorrelationResults", "type": "object", "properties": { "constraintResults": { "description": "A list of constraint evaluation results for each pair of conversations.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResult" }, "type": "array" }, "joinKeyResults": { "description": "A list of join key correlation results for each conversation tested.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResult" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainIssue": { "description": "The issue resource.", "id": "GoogleCloudContactcenterinsightsV1mainIssue", "type": "object", "properties": { "displayDescription": { "description": "Representative description of the issue.", "type": "string" }, "createTime": { "readOnly": true, "description": "Output only. The time at which this issue was created.", "type": "string", "format": "google-datetime" }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time that this issue was updated.", "readOnly": true }, "displayName": { "description": "The representative name for the issue.", "type": "string" }, "sampleUtterances": { "readOnly": true, "description": "Output only. Resource names of the sample representative utterances that match to this issue.", "items": { "type": "string" }, "type": "array" }, "name": { "type": "string", "description": "Immutable. The resource name of the issue. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}" } } }, "GoogleCloudContactcenterinsightsV1alpha1Dashboard": { "description": "Configurable dashboard", "id": "GoogleCloudContactcenterinsightsV1alpha1Dashboard", "type": "object", "properties": { "description": { "type": "string", "description": "Dashboard description" }, "readOnly": { "readOnly": true, "description": "Output only. Whether the dashboard is read-only. All predefined dashboards are read-only and cannot be modified by the user.", "type": "boolean" }, "filter": { "type": "string", "description": "Filter applied to all charts in the dashboard. Should support scope later." }, "dateRangeConfig": { "description": "Date range config applied to all charts in the dashboard.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig" }, "displayName": { "description": "User provided display name of the dashboard.", "type": "string" }, "createTime": { "description": "Output only. Dashboard creation time.", "type": "string", "format": "google-datetime", "readOnly": true }, "rootContainer": { "description": "The dashboard's root widget container. We want to display the dashboard layout in a tree-like structure, where the root container contains other widgets (containers or charts) as children.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Container" }, "updateTime": { "description": "Output only. Dashboard last update time.", "type": "string", "format": "google-datetime", "readOnly": true }, "name": { "description": "Identifier. Dashboard resource name. Format: projects/{project}/locations/{location}/dashboards/{dashboard}", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1AppealAssessmentRequest": { "description": "The message to appeal an assessment.", "id": "GoogleCloudContactcenterinsightsV1alpha1AppealAssessmentRequest", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1RuntimeAnnotationUserInput": { "id": "GoogleCloudContactcenterinsightsV1RuntimeAnnotationUserInput", "type": "object", "description": "Explicit input used for generating the answer", "properties": { "query": { "description": "Query text. Article Search uses this to store the input query used to generate the search results.", "type": "string" }, "generatorName": { "description": "The resource name of associated generator. Format: `projects//locations//generators/`", "type": "string" }, "querySource": { "description": "Query source for the answer.", "type": "string", "enumDescriptions": [ "Unknown query source.", "The query is from agents.", "The query is a query from previous suggestions, e.g. from a preceding SuggestKnowledgeAssist response." ], "enum": [ "QUERY_SOURCE_UNSPECIFIED", "AGENT_QUERY", "SUGGESTED_QUERY" ] } } }, "GoogleCloudContactcenterinsightsV1QaAnswerAnswerSource": { "properties": { "answerValue": { "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead.", "$ref": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue" }, "sourceType": { "type": "string", "description": "What created the answer.", "enumDescriptions": [ "Source type is unspecified.", "Answer was system-generated; created during an Insights analysis.", "Answer was created by a human via manual edit." ], "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED", "MANUAL_EDIT" ] } }, "description": "A question may have multiple answers from varying sources, one of which becomes the \"main\" answer above. AnswerSource represents each individual answer.", "id": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerSource", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1Entity": { "properties": { "sentiment": { "description": "The aggregate sentiment expressed for this entity in the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData" }, "type": { "enumDescriptions": [ "Unspecified.", "Person.", "Location.", "Organization.", "Event.", "Artwork.", "Consumer product.", "Other types of entities.", "Phone number. The metadata lists the phone number (formatted according to local convention), plus whichever additional elements appear in the text: * `number` - The actual number, broken down into sections according to local convention. * `national_prefix` - Country code, if detected. * `area_code` - Region or area code, if detected. * `extension` - Phone extension (to be dialed after connection), if detected.", "Address. The metadata identifies the street number and locality plus whichever additional elements appear in the text: * `street_number` - Street number. * `locality` - City or town. * `street_name` - Street/route name, if detected. * `postal_code` - Postal code, if detected. * `country` - Country, if detected. * `broad_region` - Administrative area, such as the state, if detected. * `narrow_region` - Smaller administrative area, such as county, if detected. * `sublocality` - Used in Asian addresses to demark a district within a city, if detected.", "Date. The metadata identifies the components of the date: * `year` - Four digit year, if detected. * `month` - Two digit month number, if detected. * `day` - Two digit day number, if detected.", "Number. The metadata is the number itself.", "Price. The metadata identifies the `value` and `currency`." ], "enum": [ "TYPE_UNSPECIFIED", "PERSON", "LOCATION", "ORGANIZATION", "EVENT", "WORK_OF_ART", "CONSUMER_GOOD", "OTHER", "PHONE_NUMBER", "ADDRESS", "DATE", "NUMBER", "PRICE" ], "description": "The entity type.", "type": "string" }, "salience": { "description": "The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient.", "type": "number", "format": "float" }, "metadata": { "type": "object", "description": "Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.", "additionalProperties": { "type": "string" } }, "displayName": { "description": "The representative name for the entity.", "type": "string" } }, "description": "The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location.", "id": "GoogleCloudContactcenterinsightsV1alpha1Entity", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageUserMessage": { "description": "The user message.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageUserMessage", "type": "object", "properties": { "text": { "type": "string", "description": "A message from the user that is interacting with the system." } } }, "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagRequest": { "description": "The request for deleting a QaQuestionTag.", "id": "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagRequest", "type": "object", "properties": { "name": { "type": "string", "description": "Required. The name of the QaQuestionTag to delete." } } }, "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResultRuleConstraintResult": { "properties": { "ruleId": { "type": "string", "description": "The rule ID." }, "constraintMet": { "type": "boolean", "description": "Whether the constraint expression evaluated to true for (A, B) or (B, A)." }, "error": { "description": "The error status if the constraint expression failed to evaluate.", "$ref": "GoogleRpcStatus" } }, "description": "The result of a single constraint rule on the pair of conversations.", "id": "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResultRuleConstraintResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision": { "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision", "type": "object", "description": "A revision of a QaScorecard. Modifying published scorecard fields would invalidate existing scorecard results — the questions may have changed, or the score weighting will make existing scores impossible to understand. So changes must create a new revision, rather than modifying the existing resource.", "properties": { "snapshot": { "description": "The snapshot of the scorecard at the time of this revision's creation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "name": { "type": "string", "description": "Identifier. The name of the scorecard revision. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}" }, "alternateIds": { "description": "Output only. Alternative IDs for this revision of the scorecard, e.g., `latest`.", "items": { "type": "string" }, "type": "array", "readOnly": true }, "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The timestamp that the revision was created." }, "state": { "type": "string", "description": "Output only. State of the scorecard revision, indicating whether it's ready to be used in analysis.", "readOnly": true, "enumDescriptions": [ "Unspecified.", "The scorecard revision can be edited.", "Scorecard model training is in progress.", "Scorecard revision model training failed.", "The revision can be used in analysis.", "Scorecard is being deleted.", "Scorecard model training was explicitly cancelled by the user." ], "enum": [ "STATE_UNSPECIFIED", "EDITABLE", "TRAINING", "TRAINING_FAILED", "READY", "DELETING", "TRAINING_CANCELLED" ] } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsMetadata": { "properties": { "errorMessages": { "description": "The error message when the generative insights request fails.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } }, "description": "The metadata for generative insights.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1SpeechConfig": { "properties": { "speechRecognizer": { "type": "string", "description": "The fully-qualified Speech Recognizer resource name. Format: `projects/{project_id}/locations/{location}/recognizer/{recognizer}`" }, "disableWordTimeOffsets": { "type": "boolean", "description": "Whether to disable word time offsets. If true, the `enable_word_time_offsets` field in the recognition config will be set to false." } }, "description": "Speech-to-Text configuration. Speech-to-Text settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint.", "id": "GoogleCloudContactcenterinsightsV1SpeechConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestGcsSource": { "properties": { "metadataBucketUri": { "type": "string", "description": "Optional. The Cloud Storage path to the conversation metadata. Note that: [1] Metadata files are expected to be in JSON format. [2] Metadata and source files (transcripts or audio) must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`." }, "customMetadataKeys": { "type": "array", "description": "Optional. Custom keys to extract as conversation labels from metadata files in `metadata_bucket_uri`. Keys not included in this field will be ignored. Note that there is a limit of 100 labels per conversation.", "items": { "type": "string" } }, "bucketObjectType": { "enumDescriptions": [ "The object type is unspecified and will default to `TRANSCRIPT`.", "The object is a transcript.", "The object is an audio file." ], "enum": [ "BUCKET_OBJECT_TYPE_UNSPECIFIED", "TRANSCRIPT", "AUDIO" ], "description": "Optional. Specifies the type of the objects in `bucket_uri`. Avoid passing this. This is inferred from the `transcript_bucket_uri`, `audio_bucket_uri`.", "type": "string" }, "bucketUri": { "type": "string", "description": "Optional. The Cloud Storage bucket containing source objects. Avoid passing this. Pass this through one of `transcript_bucket_uri` or `audio_bucket_uri`." }, "transcriptBucketUri": { "description": "Optional. The Cloud Storage path to the conversation transcripts. Note that: [1] Transcript files are expected to be in JSON format. [2] Transcript, audio, metadata files must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`.", "type": "string" }, "audioBucketUri": { "description": "Optional. The Cloud Storage path to the conversation audio file. Note that: [1] Audio files will be transcribed if not already. [2] Audio files and transcript files must be in separate buckets / folders. [3] A source file and its corresponding audio file must share the same name to be properly ingested, E.g. `gs://bucket/transcript/conversation1.json` and `gs://bucket/audio/conversation1.mp3`.", "type": "string" } }, "description": "Configuration for Cloud Storage bucket sources.", "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestGcsSource", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionLabelDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1DimensionLabelDimensionMetadata", "type": "object", "description": "Metadata about conversation labels.", "properties": { "labelKey": { "description": "Optional. The label key.", "type": "string" }, "labelValue": { "description": "Optional. The label value.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessage": { "description": "A message from the system in response to the user. This message can also be a message from the user as historical context for multiturn conversations with the system.", "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessage", "type": "object", "properties": { "generatedSqlQuery": { "type": "string", "description": "Raw SQL from LLM, before templatization" }, "userProvidedChartSpec": { "description": "Optional. User provided chart spec", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "textMessage": { "description": "A direct natural language response to the user message.", "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessageTextOutput" }, "chartSpec": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "Chart spec from LLM", "type": "object" }, "userProvidedSqlQuery": { "type": "string", "description": "Optional. User provided SQL query" } } }, "GoogleCloudContactcenterinsightsV1alpha1AnswerFeedback": { "properties": { "correctnessLevel": { "type": "string", "description": "The correctness level of an answer.", "enumDescriptions": [ "Correctness level unspecified.", "Answer is totally wrong.", "Answer is partially correct.", "Answer is fully correct." ], "enum": [ "CORRECTNESS_LEVEL_UNSPECIFIED", "NOT_CORRECT", "PARTIALLY_CORRECT", "FULLY_CORRECT" ] }, "displayed": { "description": "Indicates whether an answer or item was displayed to the human agent in the agent desktop UI.", "type": "boolean" }, "clicked": { "description": "Indicates whether an answer or item was clicked by the human agent.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AnswerFeedback", "type": "object", "description": "The feedback that the customer has about a certain answer in the conversation." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponse": { "description": "The response for querying metrics.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponse", "type": "object", "properties": { "location": { "type": "string", "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"" }, "updateTime": { "description": "The metrics last update time.", "type": "string", "format": "google-datetime" }, "macroAverageSlice": { "description": "The macro average slice contains aggregated averages across all selected dimensions. i.e. if group_by agent and scorecard_id is specified, this field will contain the average across all agents and all scorecards. This field is only populated if the request specifies a Dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSlice" }, "slices": { "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSlice" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultScoreSource": { "properties": { "sourceType": { "description": "What created the score.", "type": "string", "enumDescriptions": [ "Source type is unspecified.", "Score is derived only from system-generated answers.", "Score is derived from both system-generated answers, and includes any manual edits if they exist." ], "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED_ONLY", "INCLUDES_MANUAL_EDITS" ] }, "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score, which is the score divided by the potential score." }, "qaTagResults": { "description": "Collection of tags and their scores.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultQaTagResult" }, "type": "array" }, "score": { "description": "The overall numerical score of the result.", "type": "number", "format": "double" }, "potentialScore": { "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation.", "type": "number", "format": "double" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultScoreSource", "type": "object", "description": "A scorecard result may have multiple sets of scores from varying sources, one of which becomes the \"main\" answer above. A ScoreSource represents each individual set of scores." }, "GoogleCloudContactcenterinsightsV1mainExportInsightsDataMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataMetadata", "type": "object", "description": "Metadata for an export insights operation.", "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true }, "completedExportCount": { "description": "The number of conversations that were exported successfully.", "type": "integer", "format": "int32" }, "request": { "description": "The original request for export.", "$ref": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequest" }, "failedExportCount": { "type": "integer", "format": "int32", "description": "The number of conversations that failed to be exported." }, "partialErrors": { "description": "Partial errors during export operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationCallMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationCallMetadata", "type": "object", "description": "Call-specific metadata.", "properties": { "customerChannel": { "type": "integer", "format": "int32", "description": "The audio channel that contains the customer." }, "agentChannel": { "type": "integer", "format": "int32", "description": "The audio channel that contains the agent." } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscript": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscript", "type": "object", "description": "A message representing the transcript of a conversation.", "properties": { "transcriptSegments": { "description": "A list of sequential transcript segments that comprise the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegment" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainIntent": { "properties": { "id": { "description": "The unique identifier of the intent.", "type": "string" }, "displayName": { "description": "The human-readable name of the intent.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainIntent", "type": "object", "description": "The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE." }, "GoogleIamV1AuditConfig": { "properties": { "service": { "type": "string", "description": "Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services." }, "auditLogConfigs": { "type": "array", "description": "The configuration for logging of each type of permission.", "items": { "$ref": "GoogleIamV1AuditLogConfig" } } }, "description": "Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { \"audit_configs\": [ { \"service\": \"allServices\", \"audit_log_configs\": [ { \"log_type\": \"DATA_READ\", \"exempted_members\": [ \"user:jose@example.com\" ] }, { \"log_type\": \"DATA_WRITE\" }, { \"log_type\": \"ADMIN_READ\" } ] }, { \"service\": \"sampleservice.googleapis.com\", \"audit_log_configs\": [ { \"log_type\": \"DATA_READ\" }, { \"log_type\": \"DATA_WRITE\", \"exempted_members\": [ \"user:aliya@example.com\" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts `jose@example.com` from DATA_READ logging, and `aliya@example.com` from DATA_WRITE logging.", "id": "GoogleIamV1AuditConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1CreateAnalysisOperationMetadata": { "properties": { "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "annotatorSelector": { "readOnly": true, "description": "Output only. The annotator selector used for the analysis (if any).", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelector" }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "conversation": { "readOnly": true, "type": "string", "description": "Output only. The Conversation that this Analysis Operation belongs to." } }, "description": "Metadata for a create analysis operation.", "id": "GoogleCloudContactcenterinsightsV1CreateAnalysisOperationMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionQaScorecardDimensionMetadata": { "properties": { "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaScorecardDimensionMetadata", "type": "object", "description": "Metadata about the QA scorecard dimension." }, "GoogleCloudContactcenterinsightsV1AnnotationBoundary": { "description": "A point in a conversation that marks the start or the end of an annotation.", "id": "GoogleCloudContactcenterinsightsV1AnnotationBoundary", "type": "object", "properties": { "wordIndex": { "description": "The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.", "type": "integer", "format": "int32" }, "transcriptIndex": { "type": "integer", "format": "int32", "description": "The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero." } } }, "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfigScorecardList": { "properties": { "qaScorecardRevisions": { "type": "array", "description": "List of QaScorecardRevisions.", "items": { "type": "string" } } }, "id": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfigScorecardList", "type": "object", "description": "Container for a list of scorecards." }, "GoogleCloudContactcenterinsightsV1alpha1NoteQaQuestionNote": { "id": "GoogleCloudContactcenterinsightsV1alpha1NoteQaQuestionNote", "type": "object", "description": "A note about a QA question.", "properties": { "qaQuestion": { "description": "The question resource that the note is associated with.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotationUserInput": { "description": "Explicit input used for generating the answer", "id": "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotationUserInput", "type": "object", "properties": { "generatorName": { "description": "The resource name of associated generator. Format: `projects//locations//generators/`", "type": "string" }, "querySource": { "enumDescriptions": [ "Unknown query source.", "The query is from agents.", "The query is a query from previous suggestions, e.g. from a preceding SuggestKnowledgeAssist response." ], "enum": [ "QUERY_SOURCE_UNSPECIFIED", "AGENT_QUERY", "SUGGESTED_QUERY" ], "description": "Query source for the answer.", "type": "string" }, "query": { "description": "Query text. Article Search uses this to store the input query used to generate the search results.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1IntentMatchData": { "description": "The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences.", "id": "GoogleCloudContactcenterinsightsV1IntentMatchData", "type": "object", "properties": { "intentUniqueId": { "type": "string", "description": "The id of the matched intent. Can be used to retrieve the corresponding intent information." } } }, "GoogleCloudContactcenterinsightsV1mainExportInsightsDataResponse": { "id": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataResponse", "type": "object", "description": "Response for an export insights operation.", "properties": {} }, "GoogleCloudContactcenterinsightsV1IngestConversationsRequest": { "id": "GoogleCloudContactcenterinsightsV1IngestConversationsRequest", "type": "object", "description": "The request to ingest conversations.", "properties": { "speechConfig": { "description": "Optional. Default Speech-to-Text configuration. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1SpeechConfig" }, "transcriptObjectConfig": { "description": "Configuration for when `source` contains conversation transcripts.", "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestTranscriptObjectConfig" }, "parent": { "type": "string", "description": "Required. The parent resource for new conversations." }, "conversationConfig": { "description": "Configuration that applies to all conversations.", "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestConversationConfig" }, "sampleSize": { "description": "Optional. If set, this fields indicates the number of objects to ingest from the Cloud Storage bucket. If empty, the entire bucket will be ingested. Unless they are first deleted, conversations produced through sampling won't be ingested by subsequent ingest requests.", "type": "integer", "format": "int32" }, "gcsSource": { "description": "A cloud storage bucket source. Note that any previously ingested objects from the source will be skipped to avoid duplication.", "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestGcsSource" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1RedactionConfig" } } }, "GoogleCloudContactcenterinsightsV1alpha1CreateAnalysisOperationMetadata": { "properties": { "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "annotatorSelector": { "description": "Output only. The annotator selector used for the analysis (if any).", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector", "readOnly": true }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true }, "conversation": { "description": "Output only. The Conversation that this Analysis Operation belongs to.", "type": "string", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CreateAnalysisOperationMetadata", "type": "object", "description": "Metadata for a create analysis operation." }, "GoogleCloudContactcenterinsightsV1alpha1CesEndSessionAnnotation": { "properties": { "endSession": { "description": "End session signal from CES.", "$ref": "GoogleCloudCesV1mainEndSession" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CesEndSessionAnnotation", "type": "object", "description": "The CES end session annotation." }, "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagMetadata": { "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagRequest" } }, "id": "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagMetadata", "type": "object", "description": "The metadata for deleting a QaQuestionTag Resource." }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponse": { "properties": { "detailedResults": { "description": "Results for the DETAILED_SYNC execution mode.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponseDetailedCorrelationResults" }, "partialErrors": { "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponse", "type": "object", "description": "The response of testing correlation config." }, "GoogleCloudContactcenterinsightsV1mainSherlockStep": { "description": "A step in the agent's reasoning process (Trajectory Step).", "id": "GoogleCloudContactcenterinsightsV1mainSherlockStep", "type": "object", "properties": { "textInput": { "readOnly": true, "description": "Output only. Natural language input stimulus.", "items": { "type": "string" }, "type": "array" }, "thought": { "type": "string", "description": "Output only. The reasoning or internal monologue of the agent.", "readOnly": true }, "toolCalls": { "readOnly": true, "description": "Output only. The tool call issued by the agent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainToolCall" }, "type": "array" }, "toolOutput": { "readOnly": true, "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "type": "object", "description": "Output only. The output response from the tool execution." } } }, "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsResponse": { "properties": {}, "description": "Response for the BulkDeleteFeedbackLabels endpoint.", "id": "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagRequest": { "properties": { "name": { "description": "Required. The name of the QaQuestionTag to delete.", "type": "string" } }, "description": "The request for deleting a QaQuestionTag.", "id": "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelResponse": { "properties": { "issueModel": { "description": "The issue model that was imported.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelResponse", "type": "object", "description": "Response from import issue model" }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPoint": { "properties": { "conversationMeasure": { "description": "The measure related to conversations.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasure" }, "interval": { "description": "The interval that this data point represents. * If this is the total data point, the interval is [starting create time, ending create time) from the request. * If this a data point from the time series, the interval is [time, time + time granularity from the request).", "$ref": "GoogleTypeInterval" }, "dialogflowInteractionMeasure": { "description": "The measure related to dialogflow interactions.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure" } }, "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPoint", "type": "object", "description": "A data point contains the metric values mapped to an interval." }, "GoogleCloudContactcenterinsightsV1GcsSource": { "properties": { "audioUri": { "type": "string", "description": "Cloud Storage URI that points to a file that contains the conversation audio." }, "transcriptUri": { "type": "string", "description": "Immutable. Cloud Storage URI that points to a file that contains the conversation transcript." } }, "id": "GoogleCloudContactcenterinsightsV1GcsSource", "type": "object", "description": "A Cloud Storage source of conversation data." }, "GoogleCloudContactcenterinsightsV1alpha1Diagnostic": { "properties": { "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the diagnostic was created." }, "analysisSummary": { "type": "string", "description": "Output only. The complete sequence of thoughts and actions taken by the agent.", "readOnly": true }, "conversationFilter": { "readOnly": true, "type": "string", "description": "Output only. The filter used to select the conversations that were included in the diagnostic." }, "name": { "type": "string", "description": "Immutable. Identifier. The resource name of the diagnostic." }, "report": { "description": "Output only. The report containing the findings of the diagnostic.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DiagnosticReport", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1alpha1Diagnostic", "type": "object", "description": "The diagnostic resource." }, "GoogleCloudContactcenterinsightsV1ConversationCorrelationResultRuleCorrelationResult": { "properties": { "correlationId": { "type": "string", "description": "The correlation ID generated by the join key expression." }, "error": { "description": "The error status if the join key expression failed to evaluate.", "$ref": "GoogleRpcStatus" }, "ruleId": { "description": "The rule ID.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationCorrelationResultRuleCorrelationResult", "type": "object", "description": "The result of a single correlation rule." }, "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse": { "properties": { "conversations": { "description": "The conversations that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "type": "array" }, "nextPageToken": { "type": "string", "description": "A token which can be sent as `page_token` to retrieve the next page. If this field is set, it means there is another page available. If it is not set, it means no other pages are available." } }, "description": "The response of listing conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1ListFeedbackLabelsResponse": { "description": "The response for listing feedback labels.", "id": "GoogleCloudContactcenterinsightsV1ListFeedbackLabelsResponse", "type": "object", "properties": { "nextPageToken": { "type": "string", "description": "The next page token." }, "feedbackLabels": { "type": "array", "description": "The feedback labels that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1FeedbackLabel" } } } }, "GoogleCloudContactcenterinsightsV1mainAnswerFeedback": { "properties": { "displayed": { "description": "Indicates whether an answer or item was displayed to the human agent in the agent desktop UI.", "type": "boolean" }, "clicked": { "description": "Indicates whether an answer or item was clicked by the human agent.", "type": "boolean" }, "correctnessLevel": { "type": "string", "description": "The correctness level of an answer.", "enumDescriptions": [ "Correctness level unspecified.", "Answer is totally wrong.", "Answer is partially correct.", "Answer is fully correct." ], "enum": [ "CORRECTNESS_LEVEL_UNSPECIFIED", "NOT_CORRECT", "PARTIALLY_CORRECT", "FULLY_CORRECT" ] } }, "id": "GoogleCloudContactcenterinsightsV1mainAnswerFeedback", "type": "object", "description": "The feedback that the customer has about a certain answer in the conversation." }, "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelRequest": { "id": "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelRequest", "type": "object", "description": "The request to undeploy an issue model.", "properties": { "name": { "description": "Required. The issue model to undeploy.", "type": "string" } } }, "GoogleIamV1TestIamPermissionsResponse": { "properties": { "permissions": { "type": "array", "description": "A subset of `TestPermissionsRequest.permissions` that the caller is allowed.", "items": { "type": "string" } } }, "description": "Response message for `TestIamPermissions` method.", "id": "GoogleIamV1TestIamPermissionsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationCorrelationInfo": { "properties": { "fullConversationCorrelationId": { "description": "Output only. The full conversation correlation id this conversation is a segment of.", "type": "string", "readOnly": true }, "mergedFullConversationCorrelationId": { "readOnly": true, "description": "Output only. The full conversation correlation id this conversation is a merged conversation of.", "type": "string" }, "correlationTypes": { "type": "array", "description": "Output only. The correlation types of this conversation. A single conversation can have multiple correlation types. For example a conversation that only has a single segment is both a SEGMENT and a FULL_CONVERSATION.", "items": { "enumDescriptions": [ "Default value for unspecified.", "This conversation represents a segment of a full conversation. The lowest level of granularity.", "This conversation represents a partial conversation of potentially multiple segments but is not a full conversation.", "This conversation represents a full conversation of potentially multiple segments.", "This conversation represents a synthetic conversation." ], "enum": [ "CORRELATION_TYPE_UNSPECIFIED", "SEGMENT", "PARTIAL", "FULL", "SYNTHETIC" ], "type": "string" }, "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1ConversationCorrelationInfo", "type": "object", "description": "Info for correlating across conversations." }, "GoogleCloudContactcenterinsightsV1alpha1SettingsAnalysisConfig": { "properties": { "runtimeIntegrationAnalysisPercentage": { "description": "Percentage of conversations created using Dialogflow runtime integration to analyze automatically, between [0, 100].", "type": "number", "format": "double" }, "uploadConversationAnalysisPercentage": { "description": "Percentage of conversations created using the UploadConversation endpoint to analyze automatically, between [0, 100].", "type": "number", "format": "double" }, "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector" } }, "description": "Default configuration when creating Analyses in Insights.", "id": "GoogleCloudContactcenterinsightsV1alpha1SettingsAnalysisConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1NoteAssessmentNote": { "description": "A note about the entire parent assessment.", "id": "GoogleCloudContactcenterinsightsV1alpha1NoteAssessmentNote", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataMetadata": { "properties": { "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "request": { "description": "The original request for export.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest" }, "completedExportCount": { "description": "The number of conversations that were exported successfully.", "type": "integer", "format": "int32" }, "partialErrors": { "description": "Partial errors during export operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "failedExportCount": { "description": "The number of conversations that failed to be exported.", "type": "integer", "format": "int32" } }, "description": "Metadata for an export insights operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1MetricValue": { "description": "Deprecated: MetricValue is no longer used for diagnostics.", "id": "GoogleCloudContactcenterinsightsV1MetricValue", "deprecated": true, "type": "object", "properties": { "value": { "type": "number", "format": "double", "description": "Output only. The calculated value of the metric (usually a ratio or rate 0.0 - 1.0).", "readOnly": true }, "totalCount": { "readOnly": true, "description": "Output only. The total number of items evaluated for this metric.", "type": "integer", "format": "int32" }, "hitCount": { "readOnly": true, "type": "integer", "format": "int32", "description": "Output only. The number of positive matches (hits) for this metric." }, "sourceId": { "description": "Output only. The resource name of the underlying Insights primitive (e.g., Tag or QaQuestion) used to calculate this metric.", "type": "string", "readOnly": true }, "conversations": { "readOnly": true, "description": "Output only. The list of conversation names that contributed to this metric (hits). Format: `projects/{project}/locations/{location}/conversations/{conversation}`", "items": { "type": "string" }, "type": "array" }, "displayName": { "description": "Output only. The user-visible name of the metric (e.g., \"Containment Rate\").", "type": "string", "readOnly": true }, "metricType": { "enumDescriptions": [ "Metric type is unspecified.", "Escalation rate.", "Containment rate." ], "enum": [ "METRIC_TYPE_UNSPECIFIED", "ESCALATION", "CONTAINMENT" ], "readOnly": true, "type": "string", "description": "Output only. Deprecated: The type of the metric. Metrics for Outcome Based Insights derived from QueryMetrics." } } }, "GoogleCloudContactcenterinsightsV1alpha1OutputConfig": { "properties": { "googleSheetsDestination": { "description": "Optional. Export directly to a Google Sheet.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1OutputConfigGoogleSheetsDestination" }, "gcsDestination": { "description": "Optional. Export to a Cloud Storage bucket.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1OutputConfigGcsDestination" }, "bigqueryDestination": { "description": "Optional. Export to BigQuery.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1OutputConfigBigQueryDestination" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1OutputConfig", "type": "object", "description": "Configuration for where to export or return the analysis findings." }, "GoogleCloudContactcenterinsightsV1EncryptionSpec": { "properties": { "name": { "description": "Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec", "type": "string" }, "kmsKey": { "type": "string", "description": "Required. The name of customer-managed encryption key that is used to secure a resource and its sub-resources. If empty, the resource is secured by our default encryption key. Only the key in the same location as this resource is allowed to be used for encryption. Format: `projects/{project}/locations/{location}/keyRings/{keyRing}/cryptoKeys/{key}`" } }, "description": "A customer-managed encryption key specification that can be applied to all created resources (e.g. `Conversation`).", "id": "GoogleCloudContactcenterinsightsV1EncryptionSpec", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewSetsResponse": { "properties": { "authorizedViewSets": { "type": "array", "description": "The AuthorizedViewSets under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" } }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } }, "description": "The response from a ListAuthorizedViewSet request.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewSetsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainQueryPerformanceOverviewResponse": { "properties": { "summaryText": { "description": "The summary text of the performance.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainQueryPerformanceOverviewResponse", "type": "object", "description": "The response for querying performance overview." }, "GoogleCloudContactcenterinsightsV1alpha1SilenceData": { "description": "The data for a silence annotation.", "id": "GoogleCloudContactcenterinsightsV1alpha1SilenceData", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1IssueModelResult": { "properties": { "issueModel": { "type": "string", "description": "Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}" }, "issues": { "description": "All the matched issues.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueAssignment" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModelResult", "type": "object", "description": "Issue Modeling result on a conversation." }, "GoogleCloudContactcenterinsightsV1alpha1ListAllFeedbackLabelsResponse": { "properties": { "feedbackLabels": { "description": "The feedback labels that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "type": "array" }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } }, "description": "The response for listing all feedback labels.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListAllFeedbackLabelsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleRequest": { "description": "The request message for testing auto labeling rules.", "id": "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleRequest", "type": "object", "properties": { "conversation": { "description": "Required. Conversation data to test rules against.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "autoLabelingRule": { "description": "Required. The auto labeling rule to test.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageUserMessage": { "description": "The user message.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageUserMessage", "type": "object", "properties": { "text": { "description": "A message from the user that is interacting with the system.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1OutputConfig": { "description": "Configuration for where to export or return the analysis findings.", "id": "GoogleCloudContactcenterinsightsV1OutputConfig", "type": "object", "properties": { "gcsDestination": { "description": "Optional. Export to a Cloud Storage bucket.", "$ref": "GoogleCloudContactcenterinsightsV1OutputConfigGcsDestination" }, "googleSheetsDestination": { "description": "Optional. Export directly to a Google Sheet.", "$ref": "GoogleCloudContactcenterinsightsV1OutputConfigGoogleSheetsDestination" }, "bigqueryDestination": { "description": "Optional. Export to BigQuery.", "$ref": "GoogleCloudContactcenterinsightsV1OutputConfigBigQueryDestination" } } }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsRequest": { "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsRequest", "type": "object", "description": "Request for the BulkDeleteFeedbackLabels endpoint.", "properties": { "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING" }, "parent": { "description": "Required. The parent resource for new feedback labels.", "type": "string" } } }, "GoogleTypeInterval": { "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", "id": "GoogleTypeInterval", "type": "object", "properties": { "startTime": { "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", "type": "string", "format": "google-datetime" }, "endTime": { "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", "type": "string", "format": "google-datetime" } } }, "GoogleCloudContactcenterinsightsV1mainHoldData": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainHoldData", "type": "object", "description": "The data for a hold annotation." }, "GoogleCloudContactcenterinsightsV1mainDeployIssueModelRequest": { "properties": { "name": { "type": "string", "description": "Required. The issue model to deploy." } }, "description": "The request to deploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainDeployIssueModelRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionMediumDimensionMetadata": { "properties": { "medium": { "description": "Optional. The conversation medium. Currently supports : PHONE_CALL, CHAT.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DimensionMediumDimensionMetadata", "type": "object", "description": "Metadata about the conversation medium dimension." } }, "resources": { "projects": { "resources": { "locations": { "resources": { "phraseMatchers": { "methods": { "delete": { "httpMethod": "DELETE", "parameters": { "name": { "type": "string", "description": "Required. The name of the phrase matcher to delete.", "pattern": "^projects/[^/]+/locations/[^/]+/phraseMatchers/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Deletes a phrase matcher.", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.phraseMatchers.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers/{phraseMatchersId}" }, "get": { "path": "v1alpha1/{+name}", "description": "Gets a phrase matcher.", "parameters": { "name": { "type": "string", "description": "Required. The name of the phrase matcher to get.", "pattern": "^projects/[^/]+/locations/[^/]+/phraseMatchers/[^/]+$", "location": "path", "required": true } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.phraseMatchers.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers/{phraseMatchersId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" } }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.phraseMatchers.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListPhraseMatchersResponse" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "description": "Required. The parent resource of the phrase matcher.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" }, "pageToken": { "description": "The value returned by the last `ListPhraseMatchersResponse`. This value indicates that this is a continuation of a prior `ListPhraseMatchers` call and that the system should return the next page of data.", "type": "string", "location": "query" }, "pageSize": { "description": "The maximum number of phrase matchers to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "format": "int32", "location": "query" }, "filter": { "type": "string", "description": "A filter to reduce results to a specific subset. Useful for querying phrase matchers with specific properties.", "location": "query" } }, "path": "v1alpha1/{+parent}/phraseMatchers", "description": "Lists phrase matchers.", "httpMethod": "GET" }, "create": { "id": "contactcenterinsights.projects.locations.phraseMatchers.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "path": "v1alpha1/{+parent}/phraseMatchers", "description": "Creates a phrase matcher.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the phrase matcher. Required. The location to create a phrase matcher for. Format: `projects//locations/` or `projects//locations/`" } }, "httpMethod": "POST" }, "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.phraseMatchers.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers/{phraseMatchersId}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "parameterOrder": [ "name" ], "parameters": { "name": { "description": "The resource name of the phrase matcher. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/phraseMatchers/[^/]+$", "location": "path" }, "updateMask": { "location": "query", "description": "The list of fields to be updated.", "type": "string", "format": "google-fieldmask" } }, "path": "v1alpha1/{+name}", "description": "Updates a phrase matcher.", "httpMethod": "PATCH" } } }, "conversations": { "resources": { "analyses": { "methods": { "create": { "path": "v1alpha1/{+parent}/analyses", "description": "Creates an analysis. The long running operation is done when the analysis has completed.", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "description": "Required. The parent resource of the analysis.", "type": "string" } }, "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.conversations.analyses.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/analyses", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Analysis" }, "response": { "$ref": "GoogleLongrunningOperation" } }, "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.analyses.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/analyses/{analysesId}", "httpMethod": "DELETE", "parameters": { "name": { "description": "Required. The name of the analysis to delete.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/analyses/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+name}", "description": "Deletes an analysis." }, "get": { "parameters": { "name": { "type": "string", "description": "Required. The name of the analysis to get.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/analyses/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Gets an analysis.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.analyses.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/analyses/{analysesId}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Analysis" }, "parameterOrder": [ "name" ] }, "list": { "id": "contactcenterinsights.projects.locations.conversations.analyses.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/analyses", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAnalysesResponse" }, "path": "v1alpha1/{+parent}/analyses", "description": "Lists analyses.", "parameters": { "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "The maximum number of analyses to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available." }, "filter": { "location": "query", "type": "string", "description": "A filter to reduce results to a specific subset. Useful for querying conversations with specific properties." }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the analyses." }, "pageToken": { "type": "string", "description": "The value returned by the last `ListAnalysesResponse`; indicates that this is a continuation of a prior `ListAnalyses` call and the system should return the next page of data.", "location": "query" } }, "httpMethod": "GET" } } }, "segments": { "methods": { "bulkAnalyze": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.segments.bulkAnalyze", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/segments:bulkAnalyze", "httpMethod": "POST", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource to create analyses in.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+parent}/segments:bulkAnalyze", "description": "Analyzes multiple conversations in a single request." } } }, "feedbackLabels": { "methods": { "create": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the feedback label.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "required": true }, "feedbackLabelId": { "location": "query", "description": "Optional. The ID of the feedback label to create. If one is not specified it will be generated by the server.", "type": "string" } }, "path": "v1alpha1/{+parent}/feedbackLabels", "description": "Create feedback label.", "httpMethod": "POST" }, "patch": { "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "description": "Update feedback label.", "parameters": { "name": { "type": "string", "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path", "required": true }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Required. The list of fields to be updated.", "location": "query" } }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "delete": { "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "description": "Delete feedback label.", "parameters": { "name": { "type": "string", "description": "Required. The name of the feedback label to delete.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path", "required": true } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "list": { "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse" }, "path": "v1alpha1/{+parent}/feedbackLabels", "description": "List feedback labels.", "parameters": { "parent": { "description": "Required. The parent resource of the feedback labels.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path" }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListFeedbackLabels` call and that the system should return the next page of data.", "location": "query" }, "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Automatically sorts by conversation ID. To sort by all feedback labels in a project see ListAllFeedbackLabels. Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "location": "query" }, "pageSize": { "location": "query", "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer", "format": "int32" } }, "httpMethod": "GET" }, "get": { "path": "v1alpha1/{+name}", "description": "Get feedback label.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the feedback label to get." } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" } } } }, "assessments": { "resources": { "notes": { "methods": { "list": { "httpMethod": "GET", "path": "v1alpha1/{+parent}/notes", "description": "List Notes.", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the notes.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true }, "pageToken": { "description": "Optional. The value returned by the last `ListNotesResponse`. This value indicates that this is a continuation of a prior `ListNotes` call and that the system should return the next page of data.", "type": "string", "location": "query" }, "pageSize": { "location": "query", "description": "Optional. The maximum number of notes to return in the response. If zero the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "format": "int32" } }, "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListNotesResponse" }, "id": "contactcenterinsights.projects.locations.conversations.assessments.notes.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "delete": { "id": "contactcenterinsights.projects.locations.conversations.assessments.notes.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes/{notesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "path": "v1alpha1/{+name}", "description": "Deletes a Note.", "parameters": { "name": { "description": "Required. The name of the note to delete.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+/notes/[^/]+$", "location": "path" } }, "httpMethod": "DELETE" }, "create": { "httpMethod": "POST", "path": "v1alpha1/{+parent}/notes", "description": "Create Note.", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the note.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true } }, "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "id": "contactcenterinsights.projects.locations.conversations.assessments.notes.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "patch": { "path": "v1alpha1/{+name}", "description": "Update Note.", "parameters": { "name": { "description": "Identifier. The resource name of the note. Format: projects/{project}/locations/{location}/conversations/{conversation}/assessments/{assessment}/notes/{note}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+/notes/[^/]+$", "location": "path" }, "updateMask": { "location": "query", "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. If the update_mask is empty, all updateable fields will be updated. Acceptable fields include: * `content`" } }, "httpMethod": "PATCH", "id": "contactcenterinsights.projects.locations.conversations.assessments.notes.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes/{notesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" } } } } }, "methods": { "publish": { "path": "v1alpha1/{+name}:publish", "description": "Publish an Assessment.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the assessment to publish." } }, "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.conversations.assessments.publish", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}:publish", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PublishAssessmentRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" } }, "appeal": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AppealAssessmentRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.assessments.appeal", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}:appeal", "httpMethod": "POST", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the assessment to appeal." } }, "path": "v1alpha1/{+name}:appeal", "description": "Appeal an Assessment." }, "get": { "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the assessment to get." } }, "path": "v1alpha1/{+name}", "description": "Get Assessment.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.assessments.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "parameterOrder": [ "name" ] }, "list": { "httpMethod": "GET", "parameters": { "parent": { "description": "Required. The parent resource of the assessments. To list all assessments in a location, substitute the conversation ID with a '-' character.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path" }, "pageToken": { "location": "query", "description": "Optional. The value returned by the last `ListAssessmentRulesResponse`; indicates that this is a continuation of a prior `ListAssessmentRules` call and the system should return the next page of data.", "type": "string" }, "pageSize": { "location": "query", "description": "The maximum number of assessments to list. If zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "format": "int32" }, "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supported filters include: * `state` - The state of the assessment * `agent_info.agent_id` - The ID of the agent the assessment is for", "location": "query" } }, "path": "v1alpha1/{+parent}/assessments", "description": "List Assessments.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentsResponse" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.assessments.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments" }, "delete": { "path": "v1alpha1/{+name}", "description": "Delete an Assessment.", "parameters": { "force": { "description": "Optional. If set to true, all of this assessment's notes will also be deleted. Otherwise, the request will only succeed if it has no notes.", "type": "boolean", "location": "query" }, "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the assessment to delete." } }, "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.conversations.assessments.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" } }, "finalize": { "httpMethod": "POST", "path": "v1alpha1/{+name}:finalize", "description": "Finalize an Assessment.", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "description": "Required. The name of the assessment to finalize.", "type": "string" } }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FinalizeAssessmentRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "id": "contactcenterinsights.projects.locations.conversations.assessments.finalize", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}:finalize", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "create": { "id": "contactcenterinsights.projects.locations.conversations.assessments.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "path": "v1alpha1/{+parent}/assessments", "description": "Create Assessment.", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "description": "Required. The parent resource of the assessment.", "type": "string" } }, "httpMethod": "POST" } } } }, "methods": { "upload": { "httpMethod": "POST", "path": "v1alpha1/{+parent}/conversations:upload", "description": "Create a long-running conversation upload operation. This method differs from `CreateConversation` by allowing audio transcription and optional DLP redaction.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the conversation." } }, "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1UploadConversationRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.conversations.upload", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:upload", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "delete": { "path": "v1alpha1/{+name}", "description": "Deletes a conversation.", "parameters": { "force": { "description": "If set to true, all of this conversation's analyses will also be deleted. Otherwise, the request will only succeed if the conversation has no analyses.", "type": "boolean", "location": "query" }, "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the conversation to delete." } }, "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.conversations.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" } }, "calculateStats": { "id": "contactcenterinsights.projects.locations.conversations.calculateStats", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:calculateStats", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "location" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse" }, "path": "v1alpha1/{+location}/conversations:calculateStats", "description": "Gets conversation statistics.", "parameters": { "filter": { "location": "query", "type": "string", "description": "A filter to reduce results to a specific subset. This field is useful for getting statistics about conversations with specific properties." }, "location": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The location of the conversations." } }, "httpMethod": "GET" }, "generateSignedAudio": { "httpMethod": "GET", "parameters": { "name": { "description": "Required. The name of the conversation to sign.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+name}:generateSignedAudio", "description": "Gets the signed URI for the audio for the given conversation.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.generateSignedAudio", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}:generateSignedAudio" }, "create": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the conversation." }, "conversationId": { "description": "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}$`. Valid characters are `a-z-`", "type": "string", "location": "query" } }, "path": "v1alpha1/{+parent}/conversations", "description": "Creates a conversation. Note that this method does not support audio transcription or redaction. Use `conversations.upload` instead.", "httpMethod": "POST" }, "sample": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.sample", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:sample", "httpMethod": "POST", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the dataset.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+parent}/conversations:sample", "description": "Samples conversations based on user configuration and handles the sampled conversations for different use cases." }, "bulkDelete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.bulkDelete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:bulkDelete", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}", "type": "string" } }, "path": "v1alpha1/{+parent}/conversations:bulkDelete", "description": "Deletes multiple conversations in a single request.", "httpMethod": "POST" }, "get": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}", "httpMethod": "GET", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the conversation to get." }, "view": { "location": "query", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript." ], "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC" ], "type": "string", "description": "The level of details of the conversation. Default is `FULL`." } }, "path": "v1alpha1/{+name}", "description": "Gets a conversation." }, "list": { "id": "contactcenterinsights.projects.locations.conversations.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse" }, "path": "v1alpha1/{+parent}/conversations", "description": "Lists conversations.", "parameters": { "parent": { "description": "Required. The parent resource of the conversation.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" }, "pageToken": { "description": "The value returned by the last `ListConversationsResponse`. This value indicates that this is a continuation of a prior `ListConversations` call and that the system should return the next page of data.", "type": "string", "location": "query" }, "view": { "location": "query", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript." ], "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC" ], "description": "The level of details of the conversation. Default is `BASIC`.", "type": "string" }, "pageSize": { "location": "query", "description": "The maximum number of conversations to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer", "format": "int32" }, "filter": { "description": "A filter to reduce results to a specific subset. Useful for querying conversations with specific properties.", "type": "string", "location": "query" }, "orderBy": { "description": "Optional. The attribute by which to order conversations in the response. If empty, conversations will be ordered by descending creation time. Supported values are one of the following: * create_time * customer_satisfaction_rating * duration * latest_analysis * start_time * turn_count The default sort order is ascending. To specify order, append `asc` or `desc` (`create_time desc`). For more details, see [Google AIPs Ordering](https://google.aip.dev/132#ordering).", "type": "string", "location": "query" } }, "httpMethod": "GET" }, "bulkAnalyze": { "id": "contactcenterinsights.projects.locations.conversations.bulkAnalyze", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:bulkAnalyze", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "path": "v1alpha1/{+parent}/conversations:bulkAnalyze", "description": "Analyzes multiple conversations in a single request.", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The parent resource to create analyses in.", "type": "string" } }, "httpMethod": "POST" }, "ingest": { "httpMethod": "POST", "path": "v1alpha1/{+parent}/conversations:ingest", "description": "Imports conversations and processes them according to the user's configuration.", "parameters": { "parent": { "description": "Required. The parent resource for new conversations.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" } }, "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.conversations.ingest", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:ingest", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "patch": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}", "httpMethod": "PATCH", "parameters": { "conversationAutoLabelingUpdateConfig.allowAutoLabelingUpdate": { "location": "query", "description": "Optional. If set to true, the conversation will be updated with auto labeling results.", "type": "boolean" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `agent_id` * `language_code` * `labels` * `metadata` * `quality_metadata` * `call_metadata` * `start_time` * `expire_time` or `ttl` * `data_source.gcs_source.audio_uri` or * `data_source.dialogflow_source.audio_uri` * `data_source.screen_recordings`", "location": "query" }, "allowMissing": { "type": "boolean", "description": "Optional. Defaults to false. If set to true, and the conversation is not found, a new conversation will be created. In this situation, `update_mask` is ignored.", "location": "query" }, "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}" } }, "path": "v1alpha1/{+name}", "description": "Updates a conversation." } } }, "operations": { "methods": { "list": { "parameterOrder": [ "name" ], "response": { "$ref": "GoogleLongrunningListOperationsResponse" }, "id": "contactcenterinsights.projects.locations.operations.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/operations", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "path": "v1alpha1/{+name}/operations", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "parameters": { "filter": { "location": "query", "description": "The standard list filter.", "type": "string" }, "pageSize": { "location": "query", "description": "The standard list page size.", "type": "integer", "format": "int32" }, "name": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "The name of the operation's parent resource." }, "pageToken": { "location": "query", "description": "The standard list page token.", "type": "string" }, "returnPartialSuccess": { "type": "boolean", "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "location": "query" } } }, "get": { "httpMethod": "GET", "parameters": { "name": { "description": "The name of the operation resource.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+name}", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.operations.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}" }, "cancel": { "httpMethod": "POST", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "The name of the operation resource to be cancelled." } }, "path": "v1alpha1/{+name}:cancel", "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.operations.cancel", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}:cancel" } } }, "analysisRules": { "methods": { "delete": { "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.analysisRules.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules/{analysisRulesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "description": "Deletes a analysis rule.", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/analysisRules/[^/]+$", "location": "path", "description": "Required. The name of the analysis rule to delete.", "type": "string" } } }, "get": { "path": "v1alpha1/{+name}", "description": "Get a analysis rule.", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/analysisRules/[^/]+$", "location": "path", "description": "Required. The name of the AnalysisRule to get.", "type": "string" } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.analysisRules.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules/{analysisRulesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" } }, "list": { "id": "contactcenterinsights.projects.locations.analysisRules.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAnalysisRulesResponse" }, "path": "v1alpha1/{+parent}/analysisRules", "description": "Lists analysis rules.", "parameters": { "pageSize": { "type": "integer", "format": "int32", "description": "Optional. The maximum number of analysis rule to return in the response. If this value is zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "location": "query" }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the analysis rules." }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListAnalysisRulesResponse`; indicates that this is a continuation of a prior `ListAnalysisRules` call and the system should return the next page of data.", "location": "query" } }, "httpMethod": "GET" }, "create": { "httpMethod": "POST", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the analysis rule. Required. The location to create a analysis rule for. Format: `projects//locations/` or `projects//locations/`", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+parent}/analysisRules", "description": "Creates a analysis rule.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.analysisRules.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules" }, "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.analysisRules.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules/{analysisRulesId}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "parameterOrder": [ "name" ], "parameters": { "updateMask": { "location": "query", "description": "Optional. The list of fields to be updated. If the update_mask is not provided, the update will be applied to all fields.", "type": "string", "format": "google-fieldmask" }, "name": { "type": "string", "description": "Identifier. The resource name of the analysis rule. Format: projects/{project}/locations/{location}/analysisRules/{analysis_rule}", "pattern": "^projects/[^/]+/locations/[^/]+/analysisRules/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Updates a analysis rule.", "httpMethod": "PATCH" } } }, "views": { "methods": { "delete": { "id": "contactcenterinsights.projects.locations.views.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views/{viewsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "path": "v1alpha1/{+name}", "description": "Deletes a view.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/views/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the view to delete." } }, "httpMethod": "DELETE" }, "get": { "parameters": { "name": { "type": "string", "description": "Required. The name of the view to get.", "pattern": "^projects/[^/]+/locations/[^/]+/views/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Gets a view.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.views.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views/{viewsId}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "parameterOrder": [ "name" ] }, "list": { "parameters": { "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "The maximum number of views to return in the response. If this value is zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available." }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the views." }, "pageToken": { "location": "query", "type": "string", "description": "The value returned by the last `ListViewsResponse`; indicates that this is a continuation of a prior `ListViews` call and the system should return the next page of data." } }, "path": "v1alpha1/{+parent}/views", "description": "Lists views.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.views.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListViewsResponse" }, "parameterOrder": [ "parent" ] }, "create": { "id": "contactcenterinsights.projects.locations.views.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "path": "v1alpha1/{+parent}/views", "description": "Creates a view.", "parameters": { "parent": { "description": "Required. The parent resource of the view. Required. The location to create a view for. Format: `projects//locations/` or `projects//locations/`", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" } }, "httpMethod": "POST" }, "patch": { "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "description": "Updates a view.", "parameters": { "name": { "description": "Immutable. The resource name of the view. Format: projects/{project}/locations/{location}/views/{view}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/views/[^/]+$", "location": "path" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "The list of fields to be updated.", "location": "query" } }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "id": "contactcenterinsights.projects.locations.views.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views/{viewsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] } } }, "dashboards": { "resources": { "charts": { "methods": { "get": { "httpMethod": "GET", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+/charts/[^/]+$", "location": "path", "description": "Required. The name of the chart to get.", "type": "string" } }, "path": "v1alpha1/{+name}", "description": "Gets a Chart.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.dashboards.charts.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts/{chartsId}" }, "list": { "id": "contactcenterinsights.projects.locations.dashboards.charts.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListChartsResponse" }, "path": "v1alpha1/{+parent}/charts", "description": "Lists Charts.", "parameters": { "parent": { "description": "Required. The parent resource of the charts.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "location": "path" } }, "httpMethod": "GET" }, "delete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.dashboards.charts.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts/{chartsId}", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "parameters": { "name": { "type": "string", "description": "Required. The name of the chart to delete.", "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+/charts/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Deletes a Chart.", "httpMethod": "DELETE" }, "create": { "httpMethod": "POST", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "location": "path", "description": "Required. The parent resource of the chart.", "type": "string" }, "chartId": { "description": "Optional. A unique ID for the new Chart. This ID will become the final component of the Chart's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`.", "type": "string", "location": "query" } }, "path": "v1alpha1/{+parent}/charts", "description": "Creates a Chart.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.dashboards.charts.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts" }, "patch": { "path": "v1alpha1/{+name}", "description": "Updates a Chart.", "parameters": { "name": { "type": "string", "description": "Identifier. Chart resource name. Format: projects/{project}/locations/{location}/dashboards/{dashboard}/charts/{chart}", "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+/charts/[^/]+$", "location": "path", "required": true }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. List of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `display_name`", "location": "query" } }, "httpMethod": "PATCH", "id": "contactcenterinsights.projects.locations.dashboards.charts.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts/{chartsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" } } } } }, "methods": { "create": { "httpMethod": "POST", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the dashboard.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true }, "dashboardId": { "description": "Optional. A unique ID for the new Dashboard. This ID will become the final component of the Dashboard'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-z]([a-z0-9-]{0,61}[a-z0-9])?$`.", "type": "string", "location": "query" } }, "path": "v1alpha1/{+parent}/dashboards", "description": "Creates a Dashboard.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.dashboards.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards" }, "patch": { "id": "contactcenterinsights.projects.locations.dashboards.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "path": "v1alpha1/{+name}", "description": "Updates a Dashboard.", "parameters": { "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. List of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `display_name` * `root_container` * `description`", "location": "query" }, "name": { "type": "string", "description": "Identifier. Dashboard resource name. Format: projects/{project}/locations/{location}/dashboards/{dashboard}", "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "location": "path", "required": true } }, "httpMethod": "PATCH" }, "get": { "httpMethod": "GET", "path": "v1alpha1/{+name}", "description": "Gets a Dashboard.", "parameters": { "name": { "description": "Required. The name of the dashboard to get.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "location": "path" } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "id": "contactcenterinsights.projects.locations.dashboards.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "list": { "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListDashboardsResponse" }, "id": "contactcenterinsights.projects.locations.dashboards.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "path": "v1alpha1/{+parent}/dashboards", "description": "Lists Dashboards.", "parameters": { "pageSize": { "location": "query", "description": "Optional. The maximum number of dashboards to return. The service may return fewer than this value. The default and maximum value is 100.", "type": "integer", "format": "int32" }, "filter": { "description": "Optional. The filter expression to filter dashboards listed in the response.", "type": "string", "location": "query" }, "orderBy": { "location": "query", "type": "string", "description": "Optional. The order by expression to order dashboards listed in the response." }, "parent": { "description": "Required. The parent resource of the dashboards.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" }, "pageToken": { "description": "Optional. The value returned by the last `ListDashboardsResponse`. This value indicates that this is a continuation of a prior `ListDashboards` call and that the system should return the next page of data.", "type": "string", "location": "query" } } }, "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.dashboards.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}", "httpMethod": "DELETE", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the dashboard to delete." } }, "path": "v1alpha1/{+name}", "description": "Deletes a Dashboard." } } }, "diagnostics": { "methods": { "get": { "id": "contactcenterinsights.projects.locations.diagnostics.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/diagnostics/{diagnosticsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Diagnostic" }, "path": "v1alpha1/{+name}", "description": "Gets a diagnostic.", "parameters": { "name": { "description": "Required. The name of the diagnostic to retrieve.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/diagnostics/[^/]+$", "location": "path" } }, "httpMethod": "GET" }, "list": { "id": "contactcenterinsights.projects.locations.diagnostics.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/diagnostics", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListDiagnosticsResponse" }, "path": "v1alpha1/{+parent}/diagnostics", "description": "Lists diagnostics.", "parameters": { "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "Optional. The maximum number of diagnostics to return. The service may return fewer than this value. If unspecified, at most 100 diagnostics will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000." }, "filter": { "location": "query", "type": "string", "description": "Optional. A filter to apply to the list (e.g. `create_time \u003e \"2023-01-01T00:00:00Z\"`)." }, "parent": { "type": "string", "description": "Required. The parent resource of the diagnostics.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true }, "pageToken": { "location": "query", "type": "string", "description": "Optional. A page token, received from a previous `ListDiagnostics` call. Provide this to retrieve the subsequent page." } }, "httpMethod": "GET" }, "delete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.diagnostics.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/diagnostics/{diagnosticsId}", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/diagnostics/[^/]+$", "location": "path", "description": "Required. The name of the diagnostic to delete.", "type": "string" } }, "path": "v1alpha1/{+name}", "description": "Deletes a diagnostic.", "httpMethod": "DELETE" } } }, "issueModels": { "methods": { "get": { "httpMethod": "GET", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the issue model to get." } }, "path": "v1alpha1/{+name}", "description": "Gets an issue model.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}" }, "list": { "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListIssueModelsResponse" }, "id": "contactcenterinsights.projects.locations.issueModels.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "path": "v1alpha1/{+parent}/issueModels", "description": "Lists issue models.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the issue model." } } }, "patch": { "httpMethod": "PATCH", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "The list of fields to be updated.", "location": "query" } }, "path": "v1alpha1/{+name}", "description": "Updates an issue model.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}" }, "undeploy": { "httpMethod": "POST", "parameters": { "name": { "type": "string", "description": "Required. The issue model to undeploy.", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}:undeploy", "description": "Undeploys an issue model. An issue model can not be used in analysis after it has been undeployed.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.undeploy", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}:undeploy" }, "import": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.import", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels:import", "httpMethod": "POST", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the issue model.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+parent}/issueModels:import", "description": "Imports an issue model from a Cloud Storage bucket." }, "calculateIssueModelStats": { "httpMethod": "GET", "path": "v1alpha1/{+issueModel}:calculateIssueModelStats", "description": "Gets an issue model's statistics.", "parameters": { "issueModel": { "type": "string", "description": "Required. The resource name of the issue model to query against.", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path", "required": true } }, "parameterOrder": [ "issueModel" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateIssueModelStatsResponse" }, "id": "contactcenterinsights.projects.locations.issueModels.calculateIssueModelStats", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}:calculateIssueModelStats", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "deploy": { "httpMethod": "POST", "parameters": { "name": { "description": "Required. The issue model to deploy.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+name}:deploy", "description": "Deploys an issue model. Returns an error if a model is already deployed. An issue model can only be used in analysis after it has been deployed.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.deploy", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}:deploy" }, "delete": { "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the issue model to delete." } }, "path": "v1alpha1/{+name}", "description": "Deletes an issue model.", "httpMethod": "DELETE", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}", "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ] }, "export": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.export", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}:export", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ], "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The issue model to export." } }, "path": "v1alpha1/{+name}:export", "description": "Exports an issue model to the provided destination.", "httpMethod": "POST" }, "create": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the issue model.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+parent}/issueModels", "description": "Creates an issue model.", "httpMethod": "POST" } }, "resources": { "issues": { "methods": { "get": { "httpMethod": "GET", "path": "v1alpha1/{+name}", "description": "Gets an issue.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+/issues/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the issue to get." } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "id": "contactcenterinsights.projects.locations.issueModels.issues.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues/{issuesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "list": { "path": "v1alpha1/{+parent}/issues", "description": "Lists issues.", "parameters": { "parent": { "description": "Required. The parent resource of the issue.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path" } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.issueModels.issues.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListIssuesResponse" } }, "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.issues.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues/{issuesId}", "httpMethod": "DELETE", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+/issues/[^/]+$", "location": "path", "description": "Required. The name of the issue to delete.", "type": "string" } }, "path": "v1alpha1/{+name}", "description": "Deletes an issue." }, "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.issues.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues/{issuesId}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "parameterOrder": [ "name" ], "parameters": { "updateMask": { "location": "query", "description": "The list of fields to be updated.", "type": "string", "format": "google-fieldmask" }, "name": { "type": "string", "description": "Immutable. The resource name of the issue. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+/issues/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Updates an issue.", "httpMethod": "PATCH" }, "create": { "httpMethod": "POST", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the issue." } }, "path": "v1alpha1/{+parent}/issues", "description": "Creates an issue.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.issues.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues" } } } } }, "encryptionSpec": { "methods": { "initialize": { "httpMethod": "POST", "path": "v1alpha1/{+name}:initialize", "description": "Initializes a location-level encryption key specification. An error will result if the location has resources already created before the initialization. After the encryption specification is initialized at a location, it is immutable and all newly created resources under the location will be encrypted with the existing specification.", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/encryptionSpec$", "location": "path", "description": "Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec", "type": "string" } }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.encryptionSpec.initialize", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/encryptionSpec:initialize", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] } } }, "datasets": { "methods": { "bulkDeleteFeedbackLabels": { "path": "v1alpha1/{+parent}:bulkDeleteFeedbackLabels", "description": "Delete feedback labels in bulk using a filter.", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "description": "Required. The parent resource for new feedback labels.", "type": "string" } }, "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.datasets.bulkDeleteFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}:bulkDeleteFeedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" } }, "bulkDownloadFeedbackLabels": { "httpMethod": "POST", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "description": "Required. The parent resource for new feedback labels.", "type": "string" } }, "path": "v1alpha1/{+parent}:bulkDownloadFeedbackLabels", "description": "Download feedback labels in bulk from an external source. Currently supports exporting Quality AI example conversations with transcripts and question bodies.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.bulkDownloadFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}:bulkDownloadFeedbackLabels" }, "create": { "httpMethod": "POST", "path": "v1alpha1/{+parent}/datasets", "description": "Creates a dataset.", "parameters": { "datasetId": { "description": "Optional. The ID to use for the dataset.", "type": "string", "location": "query" }, "parent": { "description": "Required. The parent resource of the dataset.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" } }, "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "id": "contactcenterinsights.projects.locations.datasets.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "bulkUploadFeedbackLabels": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.bulkUploadFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}:bulkUploadFeedbackLabels", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "description": "Required. The parent resource for new feedback labels.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+parent}:bulkUploadFeedbackLabels", "description": "Upload feedback labels from an external source in bulk. Currently supports labeling Quality AI example conversations.", "httpMethod": "POST" }, "delete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}", "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ], "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "description": "Required. The name of the dataset to delete.", "type": "string" } }, "path": "v1alpha1/{+name}", "description": "Delete a dataset.", "httpMethod": "DELETE" }, "listAllFeedbackLabels": { "httpMethod": "GET", "path": "v1alpha1/{+parent}:listAllFeedbackLabels", "description": "List all feedback labels by project number.", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "description": "Required. The parent resource of all feedback labels per project.", "type": "string" }, "pageToken": { "location": "query", "description": "Optional. The value returned by the last `ListAllFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListAllFeedbackLabels` call and that the system should return the next page of data.", "type": "string" }, "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size." }, "filter": { "location": "query", "description": "Optional. A filter to reduce results to a specific subset in the entire project. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" } }, "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAllFeedbackLabelsResponse" }, "id": "contactcenterinsights.projects.locations.datasets.listAllFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}:listAllFeedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "parameterOrder": [ "name" ], "parameters": { "updateMask": { "location": "query", "description": "Optional. The list of fields to update.", "type": "string", "format": "google-fieldmask" }, "name": { "type": "string", "description": "Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Updates a dataset.", "httpMethod": "PATCH" }, "list": { "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListDatasetsResponse" }, "id": "contactcenterinsights.projects.locations.datasets.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "path": "v1alpha1/{+parent}/datasets", "description": "List datasets matching the input.", "parameters": { "parent": { "description": "Required. The parent resource of the dataset.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" }, "pageToken": { "location": "query", "description": "Optional. The value returned by the last `ListDatasetsResponse`; indicates that this is a continuation of a prior `ListDatasets` call and the system should return the next page of data.", "type": "string" }, "pageSize": { "description": "Optional. The maximum number of datasets to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "format": "int32", "location": "query" }, "filter": { "location": "query", "description": "Optional. A filter to reduce results to a specific subset. Useful for querying datasets with specific properties. Supported fields include, for Q2 though we only support list by project: - `type` - `description` - `project_number`", "type": "string" } } }, "get": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}", "httpMethod": "GET", "parameters": { "name": { "type": "string", "description": "Required. The name of the dataset to get.", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Gets a dataset." } }, "resources": { "conversations": { "resources": { "feedbackLabels": { "methods": { "list": { "httpMethod": "GET", "parameters": { "filter": { "location": "query", "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Automatically sorts by conversation ID. To sort by all feedback labels in a project see ListAllFeedbackLabels. Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING" }, "pageSize": { "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer", "format": "int32", "location": "query" }, "parent": { "description": "Required. The parent resource of the feedback labels.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "location": "path" }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListFeedbackLabels` call and that the system should return the next page of data.", "location": "query" } }, "path": "v1alpha1/{+parent}/feedbackLabels", "description": "List feedback labels.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels" }, "get": { "httpMethod": "GET", "parameters": { "name": { "description": "Required. The name of the feedback label to get.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+name}", "description": "Get feedback label.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}" }, "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "httpMethod": "DELETE", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the feedback label to delete." } }, "path": "v1alpha1/{+name}", "description": "Delete feedback label." }, "create": { "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "path": "v1alpha1/{+parent}/feedbackLabels", "description": "Create feedback label.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the feedback label." }, "feedbackLabelId": { "type": "string", "description": "Optional. The ID of the feedback label to create. If one is not specified it will be generated by the server.", "location": "query" } }, "httpMethod": "POST" }, "patch": { "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "path": "v1alpha1/{+name}", "description": "Update feedback label.", "parameters": { "name": { "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Required. The list of fields to be updated.", "location": "query" } }, "httpMethod": "PATCH" } } } }, "methods": { "generateSignedAudio": { "parameters": { "name": { "description": "Required. The name of the conversation to sign.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+name}:generateSignedAudio", "description": "Gets the signed URI for the audio for the given conversation.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.generateSignedAudio", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}:generateSignedAudio", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse" }, "parameterOrder": [ "name" ] }, "get": { "path": "v1alpha1/{+name}", "description": "Gets a conversation.", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "location": "path", "description": "Required. The name of the conversation to get.", "type": "string" }, "view": { "location": "query", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript." ], "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC" ], "type": "string", "description": "The level of details of the conversation. Default is `FULL`." } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.datasets.conversations.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" } }, "list": { "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse" }, "id": "contactcenterinsights.projects.locations.datasets.conversations.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "path": "v1alpha1/{+parent}/conversations", "description": "Lists conversations.", "parameters": { "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "The maximum number of conversations to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size." }, "filter": { "location": "query", "type": "string", "description": "A filter to reduce results to a specific subset. Useful for querying conversations with specific properties." }, "orderBy": { "description": "Optional. The attribute by which to order conversations in the response. If empty, conversations will be ordered by descending creation time. Supported values are one of the following: * create_time * customer_satisfaction_rating * duration * latest_analysis * start_time * turn_count The default sort order is ascending. To specify order, append `asc` or `desc` (`create_time desc`). For more details, see [Google AIPs Ordering](https://google.aip.dev/132#ordering).", "type": "string", "location": "query" }, "parent": { "description": "Required. The parent resource of the conversation.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path" }, "pageToken": { "type": "string", "description": "The value returned by the last `ListConversationsResponse`. This value indicates that this is a continuation of a prior `ListConversations` call and that the system should return the next page of data.", "location": "query" }, "view": { "type": "string", "description": "The level of details of the conversation. Default is `BASIC`.", "location": "query", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript." ], "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC" ] } } }, "delete": { "httpMethod": "DELETE", "parameters": { "force": { "location": "query", "description": "If set to true, all of this conversation's analyses will also be deleted. Otherwise, the request will only succeed if the conversation has no analyses.", "type": "boolean" }, "name": { "type": "string", "description": "Required. The name of the conversation to delete.", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Deletes a conversation.", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}" }, "ingest": { "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.datasets.conversations.ingest", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations:ingest", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "path": "v1alpha1/{+parent}/conversations:ingest", "description": "Imports conversations and processes them according to the user's configuration.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource for new conversations." } } }, "calculateStats": { "parameters": { "location": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "description": "Required. The location of the conversations.", "type": "string" } }, "path": "v1alpha1/{+location}/conversations:calculateStats", "description": "Gets conversation statistics.", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.calculateStats", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations:calculateStats", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse" }, "parameterOrder": [ "location" ] }, "sample": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.sample", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations:sample", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "description": "Required. The parent resource of the dataset.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+parent}/conversations:sample", "description": "Samples conversations based on user configuration and handles the sampled conversations for different use cases.", "httpMethod": "POST" }, "bulkDelete": { "id": "contactcenterinsights.projects.locations.datasets.conversations.bulkDelete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations:bulkDelete", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "path": "v1alpha1/{+parent}/conversations:bulkDelete", "description": "Deletes multiple conversations in a single request.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}" } }, "httpMethod": "POST" } } }, "insightsdata": { "methods": { "export": { "id": "contactcenterinsights.projects.locations.datasets.insightsdata.export", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/insightsdata:export", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "path": "v1alpha1/{+parent}/insightsdata:export", "description": "Export insights data to a destination defined in the request body.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource to export data from." } }, "httpMethod": "POST" } } } } }, "qaScorecards": { "methods": { "create": { "id": "contactcenterinsights.projects.locations.qaScorecards.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "path": "v1alpha1/{+parent}/qaScorecards", "description": "Create a QaScorecard.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the QaScorecard." }, "qaScorecardId": { "location": "query", "type": "string", "description": "Optional. A unique ID for the new QaScorecard. This ID will become the final component of the QaScorecard'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}$`. Valid characters are `a-z-`." } }, "httpMethod": "POST" }, "patch": { "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "id": "contactcenterinsights.projects.locations.qaScorecards.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "description": "Updates a QaScorecard.", "parameters": { "name": { "description": "Identifier. The scorecard name. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$", "location": "path" }, "updateMask": { "location": "query", "type": "string", "format": "google-fieldmask", "description": "Required. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `description` * `display_name`" } } }, "get": { "path": "v1alpha1/{+name}", "description": "Gets a QaScorecard.", "parameters": { "name": { "description": "Required. The name of the QaScorecard to get.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$", "location": "path" } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.qaScorecards.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" } }, "list": { "path": "v1alpha1/{+parent}/qaScorecards", "description": "Lists QaScorecards.", "parameters": { "parent": { "description": "Required. The parent resource of the scorecards.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" }, "pageToken": { "location": "query", "description": "Optional. The value returned by the last `ListQaScorecardsResponse`. This value indicates that this is a continuation of a prior `ListQaScorecards` call and that the system should return the next page of data.", "type": "string" }, "qaScorecardSources": { "location": "query", "repeated": true, "enumDescriptions": [ "The source of the scorecard is unspecified. Default to QA_SCORECARD_SOURCE_CUSTOMER_DEFINED.", "The scorecard is a custom scorecard created by the user.", "The scorecard is a scorecard created through discovery engine deployment." ], "enum": [ "QA_SCORECARD_SOURCE_UNSPECIFIED", "QA_SCORECARD_SOURCE_CUSTOMER_DEFINED", "QA_SCORECARD_SOURCE_DISCOVERY_ENGINE" ], "type": "string", "description": "Optional. The source of scorecards are based on how those Scorecards were created, e.g., a customer-defined scorecard, a predefined scorecard, etc. This field is used to retrieve Scorecards of one or more sources." }, "pageSize": { "location": "query", "description": "Optional. The maximum number of scorecards to return in the response. If the value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "format": "int32" } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.qaScorecards.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardsResponse" } }, "delete": { "path": "v1alpha1/{+name}", "description": "Deletes a QaScorecard.", "parameters": { "name": { "description": "Required. The name of the QaScorecard to delete.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$", "location": "path" }, "force": { "type": "boolean", "description": "Optional. If set to true, all of this QaScorecard's child resources will also be deleted. Otherwise, the request will only succeed if it has none.", "location": "query" } }, "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.qaScorecards.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" } } }, "resources": { "revisions": { "resources": { "qaQuestions": { "methods": { "delete": { "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "description": "Deletes a QaQuestion.", "parameters": { "name": { "type": "string", "description": "Required. The name of the QaQuestion to delete.", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+/qaQuestions/[^/]+$", "location": "path", "required": true } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions/{qaQuestionsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "get": { "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+/qaQuestions/[^/]+$", "location": "path", "description": "Required. The name of the QaQuestion to get.", "type": "string" } }, "path": "v1alpha1/{+name}", "description": "Gets a QaQuestion.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions/{qaQuestionsId}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "parameterOrder": [ "name" ] }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionsResponse" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the questions.", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "location": "path", "required": true }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListQaQuestionsResponse`. This value indicates that this is a continuation of a prior `ListQaQuestions` call and that the system should return the next page of data.", "location": "query" }, "pageSize": { "description": "Optional. The maximum number of questions to return in the response. If the value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "format": "int32", "location": "query" } }, "path": "v1alpha1/{+parent}/qaQuestions", "description": "Lists QaQuestions.", "httpMethod": "GET" }, "create": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions", "httpMethod": "POST", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the QaQuestion.", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "location": "path", "required": true }, "qaQuestionId": { "type": "string", "description": "Optional. A unique ID for the new question. This ID will become the final component of the question's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`.", "location": "query" } }, "path": "v1alpha1/{+parent}/qaQuestions", "description": "Create a QaQuestion." }, "patch": { "parameters": { "name": { "type": "string", "description": "Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+/qaQuestions/[^/]+$", "location": "path", "required": true }, "updateMask": { "description": "Required. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `abbreviation` * `answer_choices` * `answer_instructions` * `order` * `question_body` * `tags`", "type": "string", "format": "google-fieldmask", "location": "query" } }, "path": "v1alpha1/{+name}", "description": "Updates a QaQuestion.", "httpMethod": "PATCH", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions/{qaQuestionsId}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "parameterOrder": [ "name" ] } } } }, "methods": { "create": { "path": "v1alpha1/{+parent}/revisions", "description": "Creates a QaScorecardRevision.", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$", "location": "path", "description": "Required. The parent resource of the QaScorecardRevision.", "type": "string" }, "qaScorecardRevisionId": { "description": "Optional. A unique ID for the new QaScorecardRevision. This ID will become the final component of the QaScorecardRevision'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}$`. Valid characters are `a-z-`.", "type": "string", "location": "query" } }, "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" } }, "undeploy": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.undeploy", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}:undeploy", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1UndeployQaScorecardRevisionRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "parameterOrder": [ "name" ], "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "location": "path", "description": "Required. The name of the QaScorecardRevision to undeploy.", "type": "string" } }, "path": "v1alpha1/{+name}:undeploy", "description": "Undeploy a QaScorecardRevision.", "httpMethod": "POST" }, "get": { "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "path": "v1alpha1/{+name}", "description": "Gets a QaScorecardRevision.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the QaScorecardRevision to get." } }, "httpMethod": "GET" }, "list": { "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardRevisionsResponse" }, "path": "v1alpha1/{+parent}/revisions", "description": "Lists all revisions under the parent QaScorecard.", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$", "location": "path", "description": "Required. The parent resource of the scorecard revisions. To list all revisions of all scorecards, substitute the QaScorecard ID with a '-' character.", "type": "string" }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListQaScorecardRevisionsResponse`. This value indicates that this is a continuation of a prior `ListQaScorecardRevisions` call and that the system should return the next page of data.", "location": "query" }, "pageSize": { "type": "integer", "format": "int32", "description": "Optional. The maximum number of scorecard revisions to return in the response. If the value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "location": "query" }, "filter": { "description": "Optional. A filter to reduce results to a specific subset. Useful for querying scorecard revisions with specific properties.", "type": "string", "location": "query" }, "qaScorecardSources": { "location": "query", "repeated": true, "enumDescriptions": [ "The source of the scorecard is unspecified. Default to QA_SCORECARD_SOURCE_CUSTOMER_DEFINED.", "The scorecard is a custom scorecard created by the user.", "The scorecard is a scorecard created through discovery engine deployment." ], "enum": [ "QA_SCORECARD_SOURCE_UNSPECIFIED", "QA_SCORECARD_SOURCE_CUSTOMER_DEFINED", "QA_SCORECARD_SOURCE_DISCOVERY_ENGINE" ], "description": "Optional. The source of scorecards are based on how those Scorecards were created, e.g., a customer-defined scorecard, a predefined scorecard, etc. This field is used to retrieve Scorecards Revisions from Scorecards of one or more sources.", "type": "string" } }, "httpMethod": "GET" }, "delete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the QaScorecardRevision to delete." }, "force": { "location": "query", "type": "boolean", "description": "Optional. If set to true, all of this QaScorecardRevision's child resources will also be deleted. Otherwise, the request will only succeed if it has none." } }, "path": "v1alpha1/{+name}", "description": "Deletes a QaScorecardRevision.", "httpMethod": "DELETE" }, "tuneQaScorecardRevision": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.tuneQaScorecardRevision", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}:tuneQaScorecardRevision", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TuneQaScorecardRevisionRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "description": "Required. The parent resource for new fine tuning job instance.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+parent}:tuneQaScorecardRevision", "description": "Fine tune one or more QaModels.", "httpMethod": "POST" }, "deploy": { "path": "v1alpha1/{+name}:deploy", "description": "Deploy a QaScorecardRevision.", "parameters": { "name": { "description": "Required. The name of the QaScorecardRevision to deploy.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "location": "path" } }, "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.deploy", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}:deploy", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeployQaScorecardRevisionRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" } } } } } }, "insightsdata": { "methods": { "export": { "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.insightsdata.export", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/insightsdata:export", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "path": "v1alpha1/{+parent}/insightsdata:export", "description": "Export insights data to a destination defined in the request body.", "parameters": { "parent": { "description": "Required. The parent resource to export data from.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" } } } } }, "qaQuestionTags": { "methods": { "create": { "httpMethod": "POST", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the QaQuestionTag." }, "qaQuestionTagId": { "location": "query", "description": "Optional. A unique ID for the new QaQuestionTag. This ID will become the final component of the QaQuestionTag'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}$`. Valid characters are `a-z-`.", "type": "string" } }, "path": "v1alpha1/{+parent}/qaQuestionTags", "description": "Creates a QaQuestionTag.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaQuestionTags.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags" }, "patch": { "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.qaQuestionTags.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags/{qaQuestionTagsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "description": "Updates a QaQuestionTag.", "parameters": { "updateMask": { "location": "query", "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `qa_question_tag_name` - the name of the tag * `qa_question_ids` - the list of questions the tag applies to" }, "name": { "type": "string", "description": "Identifier. Resource name for the QaQuestionTag Format projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag} In the above format, the last segment, i.e., qa_question_tag, is a server-generated ID corresponding to the tag resource.", "pattern": "^projects/[^/]+/locations/[^/]+/qaQuestionTags/[^/]+$", "location": "path", "required": true } } }, "get": { "id": "contactcenterinsights.projects.locations.qaQuestionTags.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags/{qaQuestionTagsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "path": "v1alpha1/{+name}", "description": "Gets a QaQuestionTag.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/qaQuestionTags/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the QaQuestionTag to get." } }, "httpMethod": "GET" }, "list": { "httpMethod": "GET", "path": "v1alpha1/{+parent}/qaQuestionTags", "description": "Lists the question tags.", "parameters": { "filter": { "location": "query", "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supports conjunctions (ie. AND operators). Supported fields include the following: * `project_id` - id of the project to list tags for * `qa_scorecard_id` - id of the scorecard to list tags for * `revision_id` - id of the scorecard revision to list tags for` * `qa_question_id - id of the question to list tags for`" }, "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The parent resource of the QaQuestionTags.", "type": "string" } }, "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionTagsResponse" }, "id": "contactcenterinsights.projects.locations.qaQuestionTags.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "delete": { "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "description": "Deletes a QaQuestionTag.", "parameters": { "name": { "description": "Required. The name of the QaQuestionTag to delete.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaQuestionTags/[^/]+$", "location": "path" } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.qaQuestionTags.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags/{qaQuestionTagsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] } } }, "assessmentRules": { "methods": { "create": { "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "id": "contactcenterinsights.projects.locations.assessmentRules.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "path": "v1alpha1/{+parent}/assessmentRules", "description": "Creates an assessment rule.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the assessment rule. Required. The location to create a assessment rule for. Format: `projects//locations/` or `projects//locations/`" }, "assessmentRuleId": { "location": "query", "description": "Optional. A unique ID for the new AssessmentRule. This ID will become the final component of the AssessmentRule's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`.", "type": "string" } } }, "patch": { "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "description": "Updates an assessment rule.", "parameters": { "updateMask": { "location": "query", "description": "Optional. The list of fields to be updated. If the update_mask is not provided, the update will be applied to all fields.", "type": "string", "format": "google-fieldmask" }, "name": { "type": "string", "description": "Identifier. The resource name of the assessment rule. Format: projects/{project}/locations/{location}/assessmentRules/{assessment_rule}", "pattern": "^projects/[^/]+/locations/[^/]+/assessmentRules/[^/]+$", "location": "path", "required": true } }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "id": "contactcenterinsights.projects.locations.assessmentRules.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules/{assessmentRulesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "delete": { "path": "v1alpha1/{+name}", "description": "Deletes an assessment rule.", "parameters": { "name": { "description": "Required. The name of the assessment rule to delete.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/assessmentRules/[^/]+$", "location": "path" } }, "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.assessmentRules.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules/{assessmentRulesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" } }, "get": { "httpMethod": "GET", "parameters": { "name": { "description": "Required. The name of the assessment rule to get.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/assessmentRules/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+name}", "description": "Get an assessment rule.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.assessmentRules.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules/{assessmentRulesId}" }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.assessmentRules.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentRulesResponse" }, "parameterOrder": [ "parent" ], "parameters": { "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "Optional. The maximum number of assessment rule to return in the response. If this value is zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available." }, "parent": { "description": "Required. The parent resource of the assessment rules.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListAssessmentRulesResponse`; indicates that this is a continuation of a prior `ListAssessmentRules` call and the system should return the next page of data.", "location": "query" } }, "path": "v1alpha1/{+parent}/assessmentRules", "description": "Lists assessment rules.", "httpMethod": "GET" } } }, "authorizedViewSets": { "methods": { "delete": { "parameters": { "name": { "description": "Required. The name of the AuthorizedViewSet to delete.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "location": "path" }, "force": { "location": "query", "type": "boolean", "description": "Optional. If set to true, all of this AuthorizedViewSet's child resources will also be deleted. Otherwise, the request will only succeed if it has none." } }, "path": "v1alpha1/{+name}", "description": "Deletes an AuthorizedViewSet.", "httpMethod": "DELETE", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ] }, "get": { "id": "contactcenterinsights.projects.locations.authorizedViewSets.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "path": "v1alpha1/{+name}", "description": "Get AuthorizedViewSet", "parameters": { "name": { "type": "string", "description": "Required. The name of the AuthorizedViewSet to get.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "location": "path", "required": true } }, "httpMethod": "GET" }, "list": { "parameters": { "orderBy": { "description": "Optional. The order by expression to order authorized view sets listed in the response.", "type": "string", "location": "query" }, "pageSize": { "description": "Optional. The maximum number of view sets to return in the response. If the value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "format": "int32", "location": "query" }, "filter": { "location": "query", "description": "Optional. The filter expression to filter authorized view sets listed in the response.", "type": "string" }, "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The parent resource of the AuthorizedViewSets.", "type": "string" }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListAuthorizedViewSetsResponse`. This value indicates that this is a continuation of a prior `ListAuthorizedViewSets` call and that the system should return the next page of data.", "location": "query" } }, "path": "v1alpha1/{+parent}/authorizedViewSets", "description": "List AuthorizedViewSets", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewSetsResponse" }, "parameterOrder": [ "parent" ] }, "create": { "httpMethod": "POST", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The parent resource of the AuthorizedViewSet.", "type": "string" }, "authorizedViewSetId": { "type": "string", "description": "Optional. A unique ID for the new AuthorizedViewSet. This ID will become the final component of the AuthorizedViewSet'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-z]([a-z0-9-]{0,61}[a-z0-9])?$`. See https://google.aip.dev/122#resource-id-segments", "location": "query" } }, "path": "v1alpha1/{+parent}/authorizedViewSets", "description": "Create AuthorizedViewSet", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets" }, "patch": { "httpMethod": "PATCH", "parameters": { "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `display_name`", "location": "query" }, "name": { "type": "string", "description": "Identifier. The resource name of the AuthorizedViewSet. Format: projects/{project}/locations/{location}/authorizedViewSets/{authorized_view_set}", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Updates an AuthorizedViewSet.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}" } }, "resources": { "authorizedViews": { "methods": { "queryMetrics": { "httpMethod": "POST", "parameters": { "location": { "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+location}:queryMetrics", "description": "Query metrics.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "location" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.queryMetrics", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:queryMetrics" }, "generativeInsights": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "location" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.generativeInsights", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:generativeInsights", "httpMethod": "POST", "parameters": { "location": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "type": "string" } }, "path": "v1alpha1/{+location}:generativeInsights", "description": "Natural language based Insights which powers the next generation of dashboards in Insights. Next generation of QueryMetrics." }, "setIamPolicy": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.setIamPolicy", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:setIamPolicy", "request": { "$ref": "GoogleIamV1SetIamPolicyRequest" }, "response": { "$ref": "GoogleIamV1Policy" }, "parameterOrder": [ "resource" ], "parameters": { "resource": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "required": true, "type": "string", "description": "REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field." } }, "path": "v1alpha1/{+resource}:setIamPolicy", "description": "Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.", "httpMethod": "POST" }, "patch": { "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "description": "Updates an AuthorizedView.", "parameters": { "name": { "description": "Identifier. The resource name of the AuthorizedView. Format: projects/{project}/locations/{location}/authorizedViewSets/{authorized_view_set}/authorizedViews/{authorized_view}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `conversation_filter` * `display_name`", "location": "query" } } }, "testIamPermissions": { "httpMethod": "POST", "parameters": { "resource": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "required": true, "type": "string", "description": "REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field." } }, "path": "v1alpha1/{+resource}:testIamPermissions", "description": "Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may \"fail open\" without warning.", "request": { "$ref": "GoogleIamV1TestIamPermissionsRequest" }, "response": { "$ref": "GoogleIamV1TestIamPermissionsResponse" }, "parameterOrder": [ "resource" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.testIamPermissions", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:testIamPermissions" }, "queryPerformanceOverview": { "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.queryPerformanceOverview", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:queryPerformanceOverview", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "path": "v1alpha1/{+parent}:queryPerformanceOverview", "description": "Generates a summary of predefined performance metrics for a set of conversations. Conversations can be specified by specifying a time window and an agent id, for now. The summary includes a comparison of metrics computed for conversations in the previous time period, and also a comparison with peers in the same time period.", "parameters": { "parent": { "description": "Required. The parent resource of the conversations to derive performance stats from. \"projects/{project}/locations/{location}\"", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path" } }, "httpMethod": "POST" }, "get": { "httpMethod": "GET", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the AuthorizedView to get." } }, "path": "v1alpha1/{+name}", "description": "Get AuthorizedView", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}" }, "list": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewsResponse" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews", "httpMethod": "GET", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the AuthorizedViews. If the parent is set to `-`, all AuthorizedViews under the location will be returned." }, "pageToken": { "location": "query", "type": "string", "description": "Optional. The value returned by the last `ListAuthorizedViewsResponse`. This value indicates that this is a continuation of a prior `ListAuthorizedViews` call and that the system should return the next page of data." }, "orderBy": { "type": "string", "description": "Optional. The order by expression to order authorized views listed in the response.", "location": "query" }, "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "Optional. The maximum number of view to return in the response. If the value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available." }, "filter": { "location": "query", "type": "string", "description": "Optional. The filter expression to filter authorized views listed in the response." } }, "path": "v1alpha1/{+parent}/authorizedViews", "description": "List AuthorizedViewSets" }, "search": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.search", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews:search", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SearchAuthorizedViewsResponse" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the AuthorizedViews. If the parent is set to `-`, all AuthorizedViews under the location will be returned." }, "pageToken": { "location": "query", "type": "string", "description": "Optional. The value returned by the last `ListAuthorizedViewsResponse`. This value indicates that this is a continuation of a prior `ListAuthorizedViews` call and that the system should return the next page of data." }, "query": { "description": "Optional. The query expression to search authorized views.", "type": "string", "location": "query" }, "orderBy": { "location": "query", "description": "Optional. The order by expression to order authorized views listed in the response.", "type": "string" }, "pageSize": { "type": "integer", "format": "int32", "description": "Optional. The maximum number of view to return in the response. If the value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "location": "query" } }, "path": "v1alpha1/{+parent}/authorizedViews:search", "description": "SearchAuthorizedViewSets", "httpMethod": "GET" }, "create": { "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "path": "v1alpha1/{+parent}/authorizedViews", "description": "Create AuthorizedView", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the AuthorizedView.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "location": "path", "required": true }, "authorizedViewId": { "type": "string", "description": "Optional. A unique ID for the new AuthorizedView. This ID will become the final component of the AuthorizedView's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`. See https://google.aip.dev/122#resource-id-segments", "location": "query" } }, "httpMethod": "POST" }, "getIamPolicy": { "response": { "$ref": "GoogleIamV1Policy" }, "parameterOrder": [ "resource" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.getIamPolicy", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:getIamPolicy", "httpMethod": "GET", "parameters": { "resource": { "description": "REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path" }, "options.requestedPolicyVersion": { "type": "integer", "format": "int32", "description": "Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).", "location": "query" } }, "path": "v1alpha1/{+resource}:getIamPolicy", "description": "Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set." }, "delete": { "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the AuthorizedView to delete." } }, "path": "v1alpha1/{+name}", "description": "Deletes an AuthorizedView.", "httpMethod": "DELETE", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ] } }, "resources": { "operations": { "methods": { "list": { "httpMethod": "GET", "path": "v1alpha1/{+name}/operations", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "required": true, "type": "string", "description": "The name of the operation's parent resource." }, "filter": { "location": "query", "type": "string", "description": "The standard list filter." }, "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "The standard list page size." }, "returnPartialSuccess": { "location": "query", "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "type": "boolean" }, "pageToken": { "type": "string", "description": "The standard list page token.", "location": "query" } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleLongrunningListOperationsResponse" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.operations.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/operations", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "get": { "parameters": { "name": { "type": "string", "description": "The name of the operation resource.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/operations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.operations.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/operations/{operationsId}", "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ] }, "cancel": { "parameters": { "name": { "type": "string", "description": "The name of the operation resource to be cancelled.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/operations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}:cancel", "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.operations.cancel", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/operations/{operationsId}:cancel", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ] } } }, "conversations": { "methods": { "delete": { "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "path": "v1alpha1/{+name}", "description": "Deletes a conversation.", "parameters": { "name": { "description": "Required. The name of the conversation to delete.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "location": "path" }, "force": { "location": "query", "type": "boolean", "description": "If set to true, all of this conversation's analyses will also be deleted. Otherwise, the request will only succeed if the conversation has no analyses." } }, "httpMethod": "DELETE" }, "calculateStats": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse" }, "parameterOrder": [ "location" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.calculateStats", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations:calculateStats", "httpMethod": "GET", "parameters": { "filter": { "location": "query", "type": "string", "description": "A filter to reduce results to a specific subset. This field is useful for getting statistics about conversations with specific properties." }, "location": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "description": "Required. The location of the conversations.", "type": "string" } }, "path": "v1alpha1/{+location}/conversations:calculateStats", "description": "Gets conversation statistics." }, "get": { "path": "v1alpha1/{+name}", "description": "Gets a conversation.", "parameters": { "name": { "type": "string", "description": "Required. The name of the conversation to get.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "location": "path", "required": true }, "view": { "location": "query", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript." ], "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC" ], "description": "The level of details of the conversation. Default is `FULL`.", "type": "string" } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" } }, "list": { "path": "v1alpha1/{+parent}/conversations", "description": "Lists conversations.", "parameters": { "pageSize": { "description": "The maximum number of conversations to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer", "format": "int32", "location": "query" }, "filter": { "type": "string", "description": "A filter to reduce results to a specific subset. Useful for querying conversations with specific properties.", "location": "query" }, "orderBy": { "description": "Optional. The attribute by which to order conversations in the response. If empty, conversations will be ordered by descending creation time. Supported values are one of the following: * create_time * customer_satisfaction_rating * duration * latest_analysis * start_time * turn_count The default sort order is ascending. To specify order, append `asc` or `desc` (`create_time desc`). For more details, see [Google AIPs Ordering](https://google.aip.dev/132#ordering).", "type": "string", "location": "query" }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the conversation." }, "pageToken": { "type": "string", "description": "The value returned by the last `ListConversationsResponse`. This value indicates that this is a continuation of a prior `ListConversations` call and that the system should return the next page of data.", "location": "query" }, "view": { "location": "query", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript." ], "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC" ], "description": "The level of details of the conversation. Default is `BASIC`.", "type": "string" } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse" } }, "generateSignedAudio": { "parameters": { "name": { "description": "Required. The name of the conversation to sign.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+name}:generateSignedAudio", "description": "Gets the signed URI for the audio for the given conversation.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.generateSignedAudio", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}:generateSignedAudio", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse" }, "parameterOrder": [ "name" ] } }, "resources": { "assessments": { "resources": { "notes": { "methods": { "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.notes.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListNotesResponse" }, "parameterOrder": [ "parent" ], "parameters": { "pageSize": { "location": "query", "type": "integer", "format": "int32", "description": "Optional. The maximum number of notes to return in the response. If zero the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available." }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the notes." }, "pageToken": { "location": "query", "description": "Optional. The value returned by the last `ListNotesResponse`. This value indicates that this is a continuation of a prior `ListNotes` call and that the system should return the next page of data.", "type": "string" } }, "path": "v1alpha1/{+parent}/notes", "description": "List Notes.", "httpMethod": "GET" }, "delete": { "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "description": "Deletes a Note.", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+/notes/[^/]+$", "location": "path", "description": "Required. The name of the note to delete.", "type": "string" } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.notes.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes/{notesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "create": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.notes.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the note." } }, "path": "v1alpha1/{+parent}/notes", "description": "Create Note.", "httpMethod": "POST" }, "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.notes.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes/{notesId}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "parameterOrder": [ "name" ], "parameters": { "name": { "description": "Identifier. The resource name of the note. Format: projects/{project}/locations/{location}/conversations/{conversation}/assessments/{assessment}/notes/{note}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+/notes/[^/]+$", "location": "path" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. If the update_mask is empty, all updateable fields will be updated. Acceptable fields include: * `content`", "location": "query" } }, "path": "v1alpha1/{+name}", "description": "Update Note.", "httpMethod": "PATCH" } } } }, "methods": { "create": { "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "path": "v1alpha1/{+parent}/assessments", "description": "Create Assessment.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the assessment." } }, "httpMethod": "POST" }, "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}", "httpMethod": "DELETE", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "description": "Required. The name of the assessment to delete.", "type": "string" }, "force": { "location": "query", "description": "Optional. If set to true, all of this assessment's notes will also be deleted. Otherwise, the request will only succeed if it has no notes.", "type": "boolean" } }, "path": "v1alpha1/{+name}", "description": "Delete an Assessment." }, "finalize": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FinalizeAssessmentRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.finalize", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}:finalize", "httpMethod": "POST", "parameters": { "name": { "type": "string", "description": "Required. The name of the assessment to finalize.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}:finalize", "description": "Finalize an Assessment." }, "get": { "path": "v1alpha1/{+name}", "description": "Get Assessment.", "parameters": { "name": { "type": "string", "description": "Required. The name of the assessment to get.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true } }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" } }, "list": { "parameters": { "parent": { "type": "string", "description": "Required. The parent resource of the assessments. To list all assessments in a location, substitute the conversation ID with a '-' character.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "location": "path", "required": true }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListAssessmentRulesResponse`; indicates that this is a continuation of a prior `ListAssessmentRules` call and the system should return the next page of data.", "location": "query" }, "pageSize": { "description": "The maximum number of assessments to list. If zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "format": "int32", "location": "query" }, "filter": { "description": "Optional. A filter to reduce results to a specific subset. Supported filters include: * `state` - The state of the assessment * `agent_info.agent_id` - The ID of the agent the assessment is for", "type": "string", "location": "query" } }, "path": "v1alpha1/{+parent}/assessments", "description": "List Assessments.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentsResponse" }, "parameterOrder": [ "parent" ] }, "publish": { "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.publish", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}:publish", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PublishAssessmentRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "path": "v1alpha1/{+name}:publish", "description": "Publish an Assessment.", "parameters": { "name": { "description": "Required. The name of the assessment to publish.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path" } }, "httpMethod": "POST" }, "appeal": { "httpMethod": "POST", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the assessment to appeal." } }, "path": "v1alpha1/{+name}:appeal", "description": "Appeal an Assessment.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AppealAssessmentRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.appeal", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}:appeal" } } }, "feedbackLabels": { "methods": { "list": { "httpMethod": "GET", "path": "v1alpha1/{+parent}/feedbackLabels", "description": "List feedback labels.", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "location": "path", "description": "Required. The parent resource of the feedback labels.", "type": "string" }, "pageToken": { "location": "query", "type": "string", "description": "Optional. The value returned by the last `ListFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListFeedbackLabels` call and that the system should return the next page of data." }, "filter": { "location": "query", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Automatically sorts by conversation ID. To sort by all feedback labels in a project see ListAllFeedbackLabels. Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" }, "pageSize": { "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer", "format": "int32", "location": "query" } }, "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "get": { "httpMethod": "GET", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the feedback label to get." } }, "path": "v1alpha1/{+name}", "description": "Get feedback label.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}" }, "delete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the feedback label to delete." } }, "path": "v1alpha1/{+name}", "description": "Delete feedback label.", "httpMethod": "DELETE" }, "create": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the feedback label." }, "feedbackLabelId": { "type": "string", "description": "Optional. The ID of the feedback label to create. If one is not specified it will be generated by the server.", "location": "query" } }, "path": "v1alpha1/{+parent}/feedbackLabels", "description": "Create feedback label.", "httpMethod": "POST" }, "patch": { "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "path": "v1alpha1/{+name}", "description": "Update feedback label.", "parameters": { "updateMask": { "description": "Required. The list of fields to be updated.", "type": "string", "format": "google-fieldmask", "location": "query" }, "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}" } }, "httpMethod": "PATCH" } } } } } } } } }, "autoLabelingRules": { "methods": { "list": { "httpMethod": "GET", "parameters": { "pageSize": { "type": "integer", "format": "int32", "description": "Optional. The maximum number of auto labeling rules to return in a single response. If unspecified, at most 100 rules will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "location": "query" }, "parent": { "description": "Required. The project and location to list auto labeling rules from. Format: projects/{project}/locations/{location}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" }, "pageToken": { "type": "string", "description": "Optional. The next_page_token value returned from a previous List request, if any.", "location": "query" } }, "path": "v1alpha1/{+parent}/autoLabelingRules", "description": "Lists auto labeling rules.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAutoLabelingRulesResponse" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.autoLabelingRules.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules" }, "get": { "httpMethod": "GET", "path": "v1alpha1/{+name}", "description": "Gets an auto labeling rule.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/autoLabelingRules/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the auto labeling rule to get. Format: projects/{project}/locations/{location}/autoLabelingRules/{auto_labeling_rule}" } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "id": "contactcenterinsights.projects.locations.autoLabelingRules.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules/{autoLabelingRulesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "test": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleRequest" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleResponse" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.autoLabelingRules.test", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules:test", "httpMethod": "POST", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent project and location. Format: projects/{project}/locations/{location}" } }, "path": "v1alpha1/{+parent}/autoLabelingRules:test", "description": "Tests auto labeling rules against a conversation." }, "delete": { "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.autoLabelingRules.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules/{autoLabelingRulesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "description": "Deletes an auto labeling rule.", "parameters": { "name": { "description": "Required. The name of the auto labeling rule to delete. Format: projects/{project}/locations/{location}/autoLabelingRules/{auto_labeling_rule}", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/autoLabelingRules/[^/]+$", "location": "path" } } }, "create": { "parameters": { "parent": { "type": "string", "description": "Required. The project and location to create the auto labeling rule in. Format: projects/{project}/locations/{location}", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true }, "autoLabelingRuleId": { "location": "query", "description": "Required. The ID to use for the auto labeling rule, which will become the final component of the auto labeling rule's resource name.", "type": "string" } }, "path": "v1alpha1/{+parent}/autoLabelingRules", "description": "Creates an auto labeling rule.", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.autoLabelingRules.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "parameterOrder": [ "parent" ] }, "patch": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.autoLabelingRules.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules/{autoLabelingRulesId}", "httpMethod": "PATCH", "parameters": { "updateMask": { "description": "Optional. The list of fields to be updated.", "type": "string", "format": "google-fieldmask", "location": "query" }, "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/autoLabelingRules/[^/]+$", "location": "path", "description": "Identifier. The resource name of the auto-labeling rule. Format: projects/{project}/locations/{location}/autoLabelingRules/{auto_labeling_rule}", "type": "string" } }, "path": "v1alpha1/{+name}", "description": "Updates an auto labeling rule." } } } }, "methods": { "generativeInsights": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.generativeInsights", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:generativeInsights", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "location" ], "parameters": { "location": { "type": "string", "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true } }, "path": "v1alpha1/{+location}:generativeInsights", "description": "Natural language based Insights which powers the next generation of dashboards in Insights. Next generation of QueryMetrics.", "httpMethod": "POST" }, "listAllFeedbackLabels": { "httpMethod": "GET", "parameters": { "pageSize": { "type": "integer", "format": "int32", "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "location": "query" }, "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset in the entire project. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "location": "query" }, "parent": { "type": "string", "description": "Required. The parent resource of all feedback labels per project.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true }, "pageToken": { "location": "query", "type": "string", "description": "Optional. The value returned by the last `ListAllFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListAllFeedbackLabels` call and that the system should return the next page of data." } }, "path": "v1alpha1/{+parent}:listAllFeedbackLabels", "description": "List all feedback labels by project number.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAllFeedbackLabelsResponse" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.listAllFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:listAllFeedbackLabels" }, "diagnoseConversations": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DiagnoseConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.diagnoseConversations", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:diagnoseConversations", "httpMethod": "POST", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource where the analysis will be performed." } }, "path": "v1alpha1/{+parent}:diagnoseConversations", "description": "Analyzes conversation data using specialized agentic workflows, such as ReAct, to diagnose issues and provide insights." }, "bulkDeleteFeedbackLabels": { "path": "v1alpha1/{+parent}:bulkDeleteFeedbackLabels", "description": "Delete feedback labels in bulk using a filter.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource for new feedback labels." } }, "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.bulkDeleteFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:bulkDeleteFeedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" } }, "updateCorrelationConfig": { "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "description": "Updates correlation config.", "parameters": { "updateMask": { "description": "Optional. The list of fields to be updated.", "type": "string", "format": "google-fieldmask", "location": "query" }, "name": { "pattern": "^projects/[^/]+/locations/[^/]+/correlationConfig$", "location": "path", "required": true, "type": "string", "description": "Immutable. Identifier. The resource name of the correlation config. Format: projects/{project}/locations/{location}/correlationConfig" } }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig" }, "id": "contactcenterinsights.projects.locations.updateCorrelationConfig", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/correlationConfig", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "bulkDownloadFeedbackLabels": { "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.bulkDownloadFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:bulkDownloadFeedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "path": "v1alpha1/{+parent}:bulkDownloadFeedbackLabels", "description": "Download feedback labels in bulk from an external source. Currently supports exporting Quality AI example conversations with transcripts and question bodies.", "parameters": { "parent": { "type": "string", "description": "Required. The parent resource for new feedback labels.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true } } }, "bulkUploadFeedbackLabels": { "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The parent resource for new feedback labels.", "type": "string" } }, "path": "v1alpha1/{+parent}:bulkUploadFeedbackLabels", "description": "Upload feedback labels from an external source in bulk. Currently supports labeling Quality AI example conversations.", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.bulkUploadFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:bulkUploadFeedbackLabels", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ] }, "getCorrelationConfig": { "httpMethod": "GET", "parameters": { "name": { "type": "string", "description": "Required. The name of the correlation config resource to get. Format: projects/{project}/locations/{location}/correlationConfig", "pattern": "^projects/[^/]+/locations/[^/]+/correlationConfig$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Gets correlation config.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.getCorrelationConfig", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/correlationConfig" }, "getEncryptionSpec": { "id": "contactcenterinsights.projects.locations.getEncryptionSpec", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/encryptionSpec", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1EncryptionSpec" }, "path": "v1alpha1/{+name}", "description": "Gets location-level encryption key specification.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/encryptionSpec$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the encryption spec resource to get." } }, "httpMethod": "GET" }, "queryMetrics": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.queryMetrics", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:queryMetrics", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "location" ], "parameters": { "location": { "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" } }, "path": "v1alpha1/{+location}:queryMetrics", "description": "Query metrics.", "httpMethod": "POST" }, "getSettings": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Settings" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.getSettings", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/settings", "httpMethod": "GET", "parameters": { "name": { "type": "string", "description": "Required. The name of the settings resource to get.", "pattern": "^projects/[^/]+/locations/[^/]+/settings$", "location": "path", "required": true } }, "path": "v1alpha1/{+name}", "description": "Gets project-level settings." }, "testCorrelationConfig": { "parameterOrder": [ "location" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.testCorrelationConfig", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:testCorrelationConfig", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "path": "v1alpha1/{+location}:testCorrelationConfig", "description": "Tests correlation config on a conversation.", "parameters": { "location": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The location to test correlation config. Format: projects/{project}/locations/{location}" } } }, "queryPerformanceOverview": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.queryPerformanceOverview", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:queryPerformanceOverview", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The parent resource of the conversations to derive performance stats from. \"projects/{project}/locations/{location}\"" } }, "path": "v1alpha1/{+parent}:queryPerformanceOverview", "description": "Generates a summary of predefined performance metrics for a set of conversations. Conversations can be specified by specifying a time window and an agent id, for now. The summary includes a comparison of metrics computed for conversations in the previous time period, and also a comparison with peers in the same time period.", "httpMethod": "POST" }, "updateSettings": { "id": "contactcenterinsights.projects.locations.updateSettings", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/settings", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Settings" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Settings" }, "path": "v1alpha1/{+name}", "description": "Updates project-level settings.", "parameters": { "name": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/settings$", "location": "path", "description": "Immutable. The resource name of the settings resource. Format: projects/{project}/locations/{location}/settings", "type": "string" }, "updateMask": { "location": "query", "type": "string", "format": "google-fieldmask", "description": "Required. The list of fields to be updated." } }, "httpMethod": "PATCH" } } } } } }, "discoveryVersion": "v1", "servicePath": "", "ownerName": "Google", "basePath": "", "name": "contactcenterinsights", "version_module": true, "title": "Contact Center AI Insights API", "ownerDomain": "google.com", "parameters": { "quotaUser": { "location": "query", "type": "string", "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters." }, "access_token": { "location": "query", "description": "OAuth access token.", "type": "string" }, "callback": { "location": "query", "description": "JSONP", "type": "string" }, "alt": { "description": "Data format for response.", "default": "json", "type": "string", "enum": [ "json", "media", "proto" ], "enumDescriptions": [ "Responses with Content-Type of application/json", "Media download with context-dependent Content-Type", "Responses with Content-Type of application/x-protobuf" ], "location": "query" }, "fields": { "description": "Selector specifying which fields to include in a partial response.", "type": "string", "location": "query" }, "oauth_token": { "description": "OAuth 2.0 token for the current user.", "type": "string", "location": "query" }, "prettyPrint": { "description": "Returns response with indentations and line breaks.", "default": "true", "type": "boolean", "location": "query" }, "key": { "type": "string", "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.", "location": "query" }, "upload_protocol": { "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").", "type": "string", "location": "query" }, "uploadType": { "location": "query", "type": "string", "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\")." }, "$.xgafv": { "enum": [ "1", "2" ], "enumDescriptions": [ "v1 error format", "v2 error format" ], "location": "query", "description": "V1 error format.", "type": "string" } }, "version": "v1alpha1", "batchPath": "batch", "mtlsRootUrl": "https://contactcenterinsights.mtls.googleapis.com/", "kind": "discovery#restDescription", "id": "contactcenterinsights:v1alpha1", "revision": "20260424", "rootUrl": "https://contactcenterinsights.googleapis.com/", "fullyEncodeReservedExpansion": true, "icons": { "x16": "http://www.google.com/images/icons/product/search-16.gif", "x32": "http://www.google.com/images/icons/product/search-32.gif" }, "protocol": "rest", "auth": { "oauth2": { "scopes": { "https://www.googleapis.com/auth/cloud-platform": { "description": "See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account." } } } }, "baseUrl": "https://contactcenterinsights.googleapis.com/", "documentationLink": "https://cloud.google.com/contact-center/insights/docs", "canonicalName": "Contactcenterinsights" }