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Updates SDK to v2.1510.0
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‎.changes/2.1510.0.json‎

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[
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{
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"type": "feature",
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"category": "QConnect",
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"description": "This release adds the PutFeedback API and allows providing feedback against the specified assistant for the specified target."
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},
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{
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"type": "feature",
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"category": "Rbin",
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"description": "Added resource identifier in the output and updated error handling."
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},
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{
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"type": "feature",
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"category": "VerifiedPermissions",
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"description": "Adds description field to PolicyStore API's and namespaces field to GetSchema."
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}
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]

‎CHANGELOG.md‎

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# Changelog for AWS SDK for JavaScript
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<!--LATEST=2.1509.0-->
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<!--LATEST=2.1510.0-->
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<!--ENTRYINSERT-->
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## 2.1510.0
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* feature: QConnect: This release adds the PutFeedback API and allows providing feedback against the specified assistant for the specified target.
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* feature: Rbin: Added resource identifier in the output and updated error handling.
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* feature: VerifiedPermissions: Adds description field to PolicyStore API's and namespaces field to GetSchema.
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## 2.1509.0
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* feature: ARCZonalShift: This release adds a new capability, zonal autoshift. You can configure zonal autoshift so that AWS shifts traffic for a resource away from an Availability Zone, on your behalf, when AWS determines that there is an issue that could potentially affect customers in the Availability Zone.
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* feature: Glue: Adds observation and analyzer support to the GetDataQualityResult and BatchGetDataQualityResult APIs.

‎README.md‎

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To use the SDK in the browser, simply add the following script tag to your
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HTML pages:
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<script src="https://sdk.amazonaws.com/js/aws-sdk-2.1509.0.min.js"></script>
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<script src="https://sdk.amazonaws.com/js/aws-sdk-2.1510.0.min.js"></script>
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You can also build a custom browser SDK with your specified set of AWS services.
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This can allow you to reduce the SDK's size, specify different API versions of

‎apis/qconnect-2020-10-19.min.json‎

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},
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"idempotent": true
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},
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"PutFeedback": {
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"http": {
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"method": "PUT",
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"requestUri": "/assistants/{assistantId}/feedback",
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"responseCode": 200
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},
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"input": {
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"type": "structure",
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"required": [
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"assistantId",
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"contentFeedback",
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"targetId",
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"targetType"
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],
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"members": {
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"assistantId": {
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"location": "uri",
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"locationName": "assistantId"
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},
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"contentFeedback": {
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"shape": "S4x"
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},
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"targetId": {},
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"targetType": {}
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}
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},
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"output": {
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"type": "structure",
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"required": [
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"assistantArn",
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"assistantId",
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"contentFeedback",
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"targetId",
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"targetType"
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],
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"members": {
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"assistantArn": {},
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"assistantId": {},
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"contentFeedback": {
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"shape": "S4x"
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},
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"targetId": {},
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"targetType": {}
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}
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},
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"idempotent": true
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},
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"QueryAssistant": {
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"http": {
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"requestUri": "/assistants/{assistantId}/query",
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"locationName": "nextToken"
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},
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"searchExpression": {
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"shape": "S59"
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"shape": "S5f"
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}
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}
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},
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],
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"members": {
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"attributesInterpolated": {
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"shape": "S60"
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"shape": "S66"
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},
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"attributesNotInterpolated": {
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"shape": "S60"
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"shape": "S66"
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},
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"channels": {
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"shape": "S1d"
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"locationName": "nextToken"
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},
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"searchExpression": {
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"shape": "S59"
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"shape": "S5f"
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}
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}
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},
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"shape": "S2k"
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}
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},
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"S59": {
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"S4x": {
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"type": "structure",
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"members": {
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"generativeContentFeedbackData": {
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"type": "structure",
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"required": [
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"relevance"
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],
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"members": {
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"relevance": {}
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}
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}
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},
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"union": true
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},
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"S5f": {
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"type": "structure",
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"required": [
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"filters"
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}
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}
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},
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"S60": {
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"S66": {
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"type": "list",
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"member": {},
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"sensitive": true

‎apis/qconnect-2020-10-19.normal.json‎

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"shape": "ResourceNotFoundException"
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}
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],
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"documentation": "<p>Creates a Amazon Q quick response.</p>",
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"documentation": "<p>Creates an Amazon Q quick response.</p>",
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"idempotent": true
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},
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"CreateSession": {
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"documentation": "<p>Removes the specified recommendations from the specified assistant's queue of newly available recommendations. You can use this API in conjunction with <a href=\"https://docs.aws.amazon.com/amazon-q-connect/latest/APIReference/API_GetRecommendations.html\">GetRecommendations</a> and a <code>waitTimeSeconds</code> input for long-polling behavior and avoiding duplicate recommendations.</p>",
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"idempotent": true
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},
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"PutFeedback": {
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"name": "PutFeedback",
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"http": {
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"method": "PUT",
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"requestUri": "/assistants/{assistantId}/feedback",
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"responseCode": 200
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},
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"input": {
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"shape": "PutFeedbackRequest"
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},
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"output": {
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"shape": "PutFeedbackResponse"
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},
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"errors": [
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{
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"shape": "ValidationException"
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},
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{
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"shape": "AccessDeniedException"
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},
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{
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"shape": "ResourceNotFoundException"
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}
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],
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"documentation": "<p>Provides feedback against the specified assistant for the specified target. This API only supports generative targets.</p>",
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"idempotent": true
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},
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"QueryAssistant": {
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"name": "QueryAssistant",
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"http": {
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"shape": "ResourceNotFoundException"
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}
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],
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"documentation": "<p>Searches existing Amazon Q quick responses in a Amazon Q knowledge base.</p>"
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"documentation": "<p>Searches existing Amazon Q quick responses in an Amazon Q knowledge base.</p>"
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},
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"SearchSessions": {
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"name": "SearchSessions",
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"documentation": "<p>The type of Amazon Q assistant capability. </p>"
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},
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"documentation": "<p>The capability configuration for a Amazon Q assistant. </p>"
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"documentation": "<p>The capability configuration for an Amazon Q assistant. </p>"
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},
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"AssistantCapabilityType": {
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"type": "string",
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"documentation": "<p>Details about the content data.</p>"
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"ContentFeedbackData": {
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"type": "structure",
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"members": {
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"generativeContentFeedbackData": {
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"shape": "GenerativeContentFeedbackData",
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"documentation": "<p>Information about the feedback for a generative target type.</p>"
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}
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},
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"documentation": "<p>Information about the feedback.</p>",
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"union": true
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},
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"ContentMetadata": {
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"type": "map",
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"key": {
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"EQUALS"
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]
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},
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"GenerativeContentFeedbackData": {
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"type": "structure",
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"required": [
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"relevance"
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],
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"members": {
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"relevance": {
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"shape": "Relevance",
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"documentation": "<p>The relevance of the feedback.</p>"
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}
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},
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"documentation": "<p>The feedback information for a generative target type.</p>"
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},
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"GenerativeDataDetails": {
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"required": [
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"LOW"
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},
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"PutFeedbackRequest": {
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"type": "structure",
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"required": [
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"assistantId",
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"contentFeedback",
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"targetId",
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"targetType"
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],
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"members": {
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"assistantId": {
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"shape": "UuidOrArn",
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"documentation": "<p>The identifier of the Amazon Q assistant.</p>",
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"location": "uri",
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"locationName": "assistantId"
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},
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"contentFeedback": {
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"shape": "ContentFeedbackData",
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"documentation": "<p>Information about the feedback provided.</p>"
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},
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"targetId": {
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"shape": "Uuid",
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"documentation": "<p>The identifier of the feedback target.</p>"
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},
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"targetType": {
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"shape": "TargetType",
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"documentation": "<p>The type of the feedback target.</p>"
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}
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}
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},
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"PutFeedbackResponse": {
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"type": "structure",
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"required": [
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"assistantArn",
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"assistantId",
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"contentFeedback",
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"targetId",
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"targetType"
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],
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"members": {
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"assistantArn": {
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"shape": "UuidOrArn",
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"documentation": "<p>The Amazon Resource Name (ARN) of the Amazon Q assistant.</p>"
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},
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"assistantId": {
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"shape": "Uuid",
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"documentation": "<p>The identifier of the Amazon Q assistant.</p>"
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},
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"contentFeedback": {
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"shape": "ContentFeedbackData",
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"documentation": "<p>Information about the feedback provided.</p>"
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},
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"targetId": {
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"shape": "Uuid",
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"documentation": "<p>The identifier of the feedback target.</p>"
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},
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"targetType": {
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"shape": "TargetType",
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"documentation": "<p>The type of the feedback target.</p>"
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}
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}
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},
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"QueryAssistantRequest": {
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"type": "structure",
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"required": [
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"GENERATIVE_ANSWER"
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"Relevance": {
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"type": "string",
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"enum": [
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"HELPFUL",
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},
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"RelevanceLevel": {
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"enum": [
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"shape": "TagValue"
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"TargetType": {
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"type": "string",
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"enum": [
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"RECOMMENDATION",
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"RESULT"
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},
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"TextData": {
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"members": {
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"min": 0
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"documentation": "<p>Amazon Q in Connect is a generative AI customer service assistant. It is an LLM-enhanced evolution of Amazon Connect Wisdom that delivers real-time recommendations to help contact center agents resolve customer issues quickly and accurately.</p> <p>Amazon Q automatically detects customer intent during calls and chats using conversational analytics and natural language understanding (NLU). It then provides agents with immediate, real-time generative responses and suggested actions, and links to relevant documents and articles. Agents can also query Amazon Q directly using natural language or keywords to answer customer requests.</p> <p>Use the Amazon Q in Connect APIs to create an assistant and a knowledge base, for example, or manage content by uploading custom files.</p> <p>For more information, see <a href=\"https://docs.aws.amazon.com/connect/latest/adminguide/amazon-q-connect.html\">Use Amazon Q in Connect for generative AI powered agent assistance in real-time</a> in the <i>Amazon Connect Administrator Guide</i>.</p>"
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"documentation": "<note> <p> <b>Powered by Amazon Bedrock</b>: Amazon Web Services implements <a href=\"https://docs.aws.amazon.com/bedrock/latest/userguide/abuse-detection.html\">automated abuse detection</a>. Because Amazon Q in Connect is built on Amazon Bedrock, users can take full advantage of the controls implemented in Amazon Bedrock to enforce safety, security, and the responsible use of artificial intelligence (AI).</p> </note> <p>Amazon Q in Connect is a generative AI customer service assistant. It is an LLM-enhanced evolution of Amazon Connect Wisdom that delivers real-time recommendations to help contact center agents resolve customer issues quickly and accurately.</p> <p>Amazon Q automatically detects customer intent during calls and chats using conversational analytics and natural language understanding (NLU). It then provides agents with immediate, real-time generative responses and suggested actions, and links to relevant documents and articles. Agents can also query Amazon Q directly using natural language or keywords to answer customer requests.</p> <p>Use the Amazon Q in Connect APIs to create an assistant and a knowledge base, for example, or manage content by uploading custom files.</p> <p>For more information, see <a href=\"https://docs.aws.amazon.com/connect/latest/adminguide/amazon-q-connect.html\">Use Amazon Q in Connect for generative AI powered agent assistance in real-time</a> in the <i>Amazon Connect Administrator Guide</i>.</p>"
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}

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