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<h1><a href="contactcenterinsights_v1.html">Contact Center AI Insights API</a> . <a href="contactcenterinsights_v1.projects.html">projects</a> . <a href="contactcenterinsights_v1.projects.locations.html">locations</a> . <a href="contactcenterinsights_v1.projects.locations.qaScorecards.html">qaScorecards</a> . <a href="contactcenterinsights_v1.projects.locations.qaScorecards.revisions.html">revisions</a> . <a href="contactcenterinsights_v1.projects.locations.qaScorecards.revisions.qaQuestions.html">qaQuestions</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#create">create(parent, body=None, qaQuestionId=None, x__xgafv=None)</a></code></p>
<p class="firstline">Create a QaQuestion.</p>
<p class="toc_element">
<code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
<p class="firstline">Deletes a QaQuestion.</p>
<p class="toc_element">
<code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets a QaQuestion.</p>
<p class="toc_element">
<code><a href="#list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">Lists QaQuestions.</p>
<p class="toc_element">
<code><a href="#list_next">list_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
<code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
<p class="firstline">Updates a QaQuestion.</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="close">close()</code>
<pre>Close httplib2 connections.</pre>
</div>
<div class="method">
<code class="details" id="create">create(parent, body=None, qaQuestionId=None, x__xgafv=None)</code>
<pre>Create a QaQuestion.
Args:
parent: string, Required. The parent resource of the QaQuestion. (required)
body: object, The request body.
The object takes the form of:
{ # A single question to be scored by the Insights QA feature.
"abbreviation": "A String", # Short, descriptive string, used in the UI where it's not practical to display the full question body. E.g., "Greeting".
"answerChoices": [ # A list of valid answers to the question, which the LLM must choose from.
{ # Message representing a possible answer to the question.
"boolValue": True or False, # Boolean value.
"key": "A String", # A short string used as an identifier.
"naValue": True or False, # 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.
"numValue": 3.14, # Numerical value.
"score": 3.14, # Numerical score of the answer, used for generating the overall score of a QaScorecardResult. If the answer uses na_value, this field is unused.
"strValue": "A String", # String value.
},
],
"answerInstructions": "A String", # Instructions describing how to determine the answer.
"createTime": "A String", # Output only. The time at which this question was created.
"metrics": { # A wrapper representing metrics calculated against a test-set on a LLM that was fine tuned for this question. # 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.
"accuracy": 3.14, # Output only. Accuracy of the model. Measures the percentage of correct answers the model gave on the test set.
},
"name": "A String", # Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}
"order": 42, # Defines the order of the question within its parent scorecard revision.
"predefinedQuestionConfig": { # Configuration for a predefined question. This field will only be set if the Question Type is predefined. # The configuration of the predefined question. This field will only be set if the Question Type is predefined.
"type": "A String", # The type of the predefined question.
},
"questionBody": "A String", # Question text. E.g., "Did the agent greet the customer?"
"questionType": "A String", # The type of question.
"tags": [ # 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.
"A String",
],
"tuningMetadata": { # Metadata about the tuning operation for the question. Will only be set if a scorecard containing this question has been tuned. # 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.
"datasetValidationWarnings": [ # A list of any applicable data validation warnings about the question's feedback labels.
"A String",
],
"totalValidLabelCount": "A String", # Total number of valid labels provided for the question at the time of tuining.
"tuningError": "A String", # Error status of the tuning operation for the question. Will only be set if the tuning operation failed.
},
"updateTime": "A String", # Output only. The most recent time at which the question was updated.
}
qaQuestionId: string, 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-`.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A single question to be scored by the Insights QA feature.
"abbreviation": "A String", # Short, descriptive string, used in the UI where it's not practical to display the full question body. E.g., "Greeting".
"answerChoices": [ # A list of valid answers to the question, which the LLM must choose from.
{ # Message representing a possible answer to the question.
"boolValue": True or False, # Boolean value.
"key": "A String", # A short string used as an identifier.
"naValue": True or False, # 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.
"numValue": 3.14, # Numerical value.
"score": 3.14, # Numerical score of the answer, used for generating the overall score of a QaScorecardResult. If the answer uses na_value, this field is unused.
"strValue": "A String", # String value.
},
],
"answerInstructions": "A String", # Instructions describing how to determine the answer.
"createTime": "A String", # Output only. The time at which this question was created.
"metrics": { # A wrapper representing metrics calculated against a test-set on a LLM that was fine tuned for this question. # 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.
"accuracy": 3.14, # Output only. Accuracy of the model. Measures the percentage of correct answers the model gave on the test set.
},
"name": "A String", # Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}
"order": 42, # Defines the order of the question within its parent scorecard revision.
"predefinedQuestionConfig": { # Configuration for a predefined question. This field will only be set if the Question Type is predefined. # The configuration of the predefined question. This field will only be set if the Question Type is predefined.
"type": "A String", # The type of the predefined question.
},
"questionBody": "A String", # Question text. E.g., "Did the agent greet the customer?"
"questionType": "A String", # The type of question.
"tags": [ # 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.
"A String",
],
"tuningMetadata": { # Metadata about the tuning operation for the question. Will only be set if a scorecard containing this question has been tuned. # 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.
"datasetValidationWarnings": [ # A list of any applicable data validation warnings about the question's feedback labels.
"A String",
],
"totalValidLabelCount": "A String", # Total number of valid labels provided for the question at the time of tuining.
"tuningError": "A String", # Error status of the tuning operation for the question. Will only be set if the tuning operation failed.
},
"updateTime": "A String", # Output only. The most recent time at which the question was updated.
}</pre>
</div>
<div class="method">
<code class="details" id="delete">delete(name, x__xgafv=None)</code>
<pre>Deletes a QaQuestion.
Args:
name: string, Required. The name of the QaQuestion to delete. (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # 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); }
}</pre>
</div>
<div class="method">
<code class="details" id="get">get(name, x__xgafv=None)</code>
<pre>Gets a QaQuestion.
Args:
name: string, Required. The name of the QaQuestion to get. (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A single question to be scored by the Insights QA feature.
"abbreviation": "A String", # Short, descriptive string, used in the UI where it's not practical to display the full question body. E.g., "Greeting".
"answerChoices": [ # A list of valid answers to the question, which the LLM must choose from.
{ # Message representing a possible answer to the question.
"boolValue": True or False, # Boolean value.
"key": "A String", # A short string used as an identifier.
"naValue": True or False, # 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.
"numValue": 3.14, # Numerical value.
"score": 3.14, # Numerical score of the answer, used for generating the overall score of a QaScorecardResult. If the answer uses na_value, this field is unused.
"strValue": "A String", # String value.
},
],
"answerInstructions": "A String", # Instructions describing how to determine the answer.
"createTime": "A String", # Output only. The time at which this question was created.
"metrics": { # A wrapper representing metrics calculated against a test-set on a LLM that was fine tuned for this question. # 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.
"accuracy": 3.14, # Output only. Accuracy of the model. Measures the percentage of correct answers the model gave on the test set.
},
"name": "A String", # Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}
"order": 42, # Defines the order of the question within its parent scorecard revision.
"predefinedQuestionConfig": { # Configuration for a predefined question. This field will only be set if the Question Type is predefined. # The configuration of the predefined question. This field will only be set if the Question Type is predefined.
"type": "A String", # The type of the predefined question.
},
"questionBody": "A String", # Question text. E.g., "Did the agent greet the customer?"
"questionType": "A String", # The type of question.
"tags": [ # 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.
"A String",
],
"tuningMetadata": { # Metadata about the tuning operation for the question. Will only be set if a scorecard containing this question has been tuned. # 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.
"datasetValidationWarnings": [ # A list of any applicable data validation warnings about the question's feedback labels.
"A String",
],
"totalValidLabelCount": "A String", # Total number of valid labels provided for the question at the time of tuining.
"tuningError": "A String", # Error status of the tuning operation for the question. Will only be set if the tuning operation failed.
},
"updateTime": "A String", # Output only. The most recent time at which the question was updated.
}</pre>
</div>
<div class="method">
<code class="details" id="list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</code>
<pre>Lists QaQuestions.
Args:
parent: string, Required. The parent resource of the questions. (required)
pageSize: integer, 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.
pageToken: string, 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.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # The response from a ListQaQuestions request.
"nextPageToken": "A String", # A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.
"qaQuestions": [ # The QaQuestions under the parent.
{ # A single question to be scored by the Insights QA feature.
"abbreviation": "A String", # Short, descriptive string, used in the UI where it's not practical to display the full question body. E.g., "Greeting".
"answerChoices": [ # A list of valid answers to the question, which the LLM must choose from.
{ # Message representing a possible answer to the question.
"boolValue": True or False, # Boolean value.
"key": "A String", # A short string used as an identifier.
"naValue": True or False, # 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.
"numValue": 3.14, # Numerical value.
"score": 3.14, # Numerical score of the answer, used for generating the overall score of a QaScorecardResult. If the answer uses na_value, this field is unused.
"strValue": "A String", # String value.
},
],
"answerInstructions": "A String", # Instructions describing how to determine the answer.
"createTime": "A String", # Output only. The time at which this question was created.
"metrics": { # A wrapper representing metrics calculated against a test-set on a LLM that was fine tuned for this question. # 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.
"accuracy": 3.14, # Output only. Accuracy of the model. Measures the percentage of correct answers the model gave on the test set.
},
"name": "A String", # Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}
"order": 42, # Defines the order of the question within its parent scorecard revision.
"predefinedQuestionConfig": { # Configuration for a predefined question. This field will only be set if the Question Type is predefined. # The configuration of the predefined question. This field will only be set if the Question Type is predefined.
"type": "A String", # The type of the predefined question.
},
"questionBody": "A String", # Question text. E.g., "Did the agent greet the customer?"
"questionType": "A String", # The type of question.
"tags": [ # 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.
"A String",
],
"tuningMetadata": { # Metadata about the tuning operation for the question. Will only be set if a scorecard containing this question has been tuned. # 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.
"datasetValidationWarnings": [ # A list of any applicable data validation warnings about the question's feedback labels.
"A String",
],
"totalValidLabelCount": "A String", # Total number of valid labels provided for the question at the time of tuining.
"tuningError": "A String", # Error status of the tuning operation for the question. Will only be set if the tuning operation failed.
},
"updateTime": "A String", # Output only. The most recent time at which the question was updated.
},
],
}</pre>
</div>
<div class="method">
<code class="details" id="list_next">list_next()</code>
<pre>Retrieves the next page of results.
Args:
previous_request: The request for the previous page. (required)
previous_response: The response from the request for the previous page. (required)
Returns:
A request object that you can call 'execute()' on to request the next
page. Returns None if there are no more items in the collection.
</pre>
</div>
<div class="method">
<code class="details" id="patch">patch(name, body=None, updateMask=None, x__xgafv=None)</code>
<pre>Updates a QaQuestion.
Args:
name: string, Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question} (required)
body: object, The request body.
The object takes the form of:
{ # A single question to be scored by the Insights QA feature.
"abbreviation": "A String", # Short, descriptive string, used in the UI where it's not practical to display the full question body. E.g., "Greeting".
"answerChoices": [ # A list of valid answers to the question, which the LLM must choose from.
{ # Message representing a possible answer to the question.
"boolValue": True or False, # Boolean value.
"key": "A String", # A short string used as an identifier.
"naValue": True or False, # 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.
"numValue": 3.14, # Numerical value.
"score": 3.14, # Numerical score of the answer, used for generating the overall score of a QaScorecardResult. If the answer uses na_value, this field is unused.
"strValue": "A String", # String value.
},
],
"answerInstructions": "A String", # Instructions describing how to determine the answer.
"createTime": "A String", # Output only. The time at which this question was created.
"metrics": { # A wrapper representing metrics calculated against a test-set on a LLM that was fine tuned for this question. # 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.
"accuracy": 3.14, # Output only. Accuracy of the model. Measures the percentage of correct answers the model gave on the test set.
},
"name": "A String", # Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}
"order": 42, # Defines the order of the question within its parent scorecard revision.
"predefinedQuestionConfig": { # Configuration for a predefined question. This field will only be set if the Question Type is predefined. # The configuration of the predefined question. This field will only be set if the Question Type is predefined.
"type": "A String", # The type of the predefined question.
},
"questionBody": "A String", # Question text. E.g., "Did the agent greet the customer?"
"questionType": "A String", # The type of question.
"tags": [ # 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.
"A String",
],
"tuningMetadata": { # Metadata about the tuning operation for the question. Will only be set if a scorecard containing this question has been tuned. # 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.
"datasetValidationWarnings": [ # A list of any applicable data validation warnings about the question's feedback labels.
"A String",
],
"totalValidLabelCount": "A String", # Total number of valid labels provided for the question at the time of tuining.
"tuningError": "A String", # Error status of the tuning operation for the question. Will only be set if the tuning operation failed.
},
"updateTime": "A String", # Output only. The most recent time at which the question was updated.
}
updateMask: string, 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`
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A single question to be scored by the Insights QA feature.
"abbreviation": "A String", # Short, descriptive string, used in the UI where it's not practical to display the full question body. E.g., "Greeting".
"answerChoices": [ # A list of valid answers to the question, which the LLM must choose from.
{ # Message representing a possible answer to the question.
"boolValue": True or False, # Boolean value.
"key": "A String", # A short string used as an identifier.
"naValue": True or False, # 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.
"numValue": 3.14, # Numerical value.
"score": 3.14, # Numerical score of the answer, used for generating the overall score of a QaScorecardResult. If the answer uses na_value, this field is unused.
"strValue": "A String", # String value.
},
],
"answerInstructions": "A String", # Instructions describing how to determine the answer.
"createTime": "A String", # Output only. The time at which this question was created.
"metrics": { # A wrapper representing metrics calculated against a test-set on a LLM that was fine tuned for this question. # 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.
"accuracy": 3.14, # Output only. Accuracy of the model. Measures the percentage of correct answers the model gave on the test set.
},
"name": "A String", # Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}
"order": 42, # Defines the order of the question within its parent scorecard revision.
"predefinedQuestionConfig": { # Configuration for a predefined question. This field will only be set if the Question Type is predefined. # The configuration of the predefined question. This field will only be set if the Question Type is predefined.
"type": "A String", # The type of the predefined question.
},
"questionBody": "A String", # Question text. E.g., "Did the agent greet the customer?"
"questionType": "A String", # The type of question.
"tags": [ # 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.
"A String",
],
"tuningMetadata": { # Metadata about the tuning operation for the question. Will only be set if a scorecard containing this question has been tuned. # 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.
"datasetValidationWarnings": [ # A list of any applicable data validation warnings about the question's feedback labels.
"A String",
],
"totalValidLabelCount": "A String", # Total number of valid labels provided for the question at the time of tuining.
"tuningError": "A String", # Error status of the tuning operation for the question. Will only be set if the tuning operation failed.
},
"updateTime": "A String", # Output only. The most recent time at which the question was updated.
}</pre>
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