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"description": "The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}",
"description": "The configuration of the predefined question. This field will only be set if the Question Type is predefined."
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},
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"questionBody": {
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"description": "Question text. E.g., \"Did the agent greet the customer?\"",
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"type": "string"
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},
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"questionType": {
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"description": "The type of question.",
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"enum": [
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"QA_QUESTION_TYPE_UNSPECIFIED",
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"CUSTOMIZABLE",
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"PREDEFINED"
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],
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"enumDescriptions": [
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"The type of the question is unspecified.",
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"The default question type. The question is fully customizable by the user.",
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"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."
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],
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"type": "string"
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},
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"tags": {
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"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.",
"description": "The type of the predefined question.",
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"enum": [
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"PREDEFINED_QUESTION_TYPE_UNSPECIFIED",
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"CONVERSATION_OUTCOME",
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"CONVERSATION_OUTCOME_ESCALATION_INITIATOR_ROLE"
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],
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"enumDescriptions": [
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"The type of the predefined question is unspecified.",
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"A prebuilt classifier classfying the outcome of the conversation. For example, if the customer issue mentioned in a conversation has been resolved or not.",
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"A prebuilt classifier classfying the initiator of the conversation escalation. For example, if it was initiated by the customer or the agent."
"description": "A tag is a resource which aims to categorize a set of questions across multiple scorecards, e.g., \"Customer Satisfaction\",\"Billing\", etc.",
"description": "The user-specified display name of the scorecard.",
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"type": "string"
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},
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"isDefault": {
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"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.",
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"type": "boolean"
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},
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"name": {
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"description": "Identifier. The scorecard name. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}",
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"type": "string"
@@ -11106,6 +11153,10 @@
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"description": "The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}",
* Question text. E.g., "Did the agent greet the customer?"
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*/
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questionBody?: string | null;
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/**
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* The type of question.
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*/
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questionType?: string | null;
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/**
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* 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.
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