Updates SDK to v2.1510.0

aws · Dec 1, 2023 · fb09502 · fb09502
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diff --git a/.changes/2.1510.0.json b/.changes/2.1510.0.json
@@ -0,0 +1,17 @@
+[
+    {
+        "type": "feature",
+        "category": "QConnect",
+        "description": "This release adds the PutFeedback API and allows providing feedback against the specified assistant for the specified target."
+    },
+    {
+        "type": "feature",
+        "category": "Rbin",
+        "description": "Added resource identifier in the output and updated error handling."
+    },
+    {
+        "type": "feature",
+        "category": "VerifiedPermissions",
+        "description": "Adds description field to PolicyStore API's and namespaces field to GetSchema."
+    }
+]
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,7 +1,12 @@
 # Changelog for AWS SDK for JavaScript
-<!--LATEST=2.1509.0-->
+<!--LATEST=2.1510.0-->
 <!--ENTRYINSERT-->
 
+## 2.1510.0
+* feature: QConnect: This release adds the PutFeedback API and allows providing feedback against the specified assistant for the specified target.
+* feature: Rbin: Added resource identifier in the output and updated error handling.
+* feature: VerifiedPermissions: Adds description field to PolicyStore API's and namespaces field to GetSchema.
+
 ## 2.1509.0
 * 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.
 * feature: Glue: Adds observation and analyzer support to the GetDataQualityResult and BatchGetDataQualityResult APIs.

diff --git a/README.md b/README.md
@@ -69,7 +69,7 @@ require('aws-sdk/lib/maintenance_mode_message').suppress = true;
 To use the SDK in the browser, simply add the following script tag to your
 HTML pages:
 
-    <script src="https://sdk.amazonaws.com/js/aws-sdk-2.1509.0.min.js"></script>
+    <script src="https://sdk.amazonaws.com/js/aws-sdk-2.1510.0.min.js"></script>
 
 You can also build a custom browser SDK with your specified set of AWS services.
 This can allow you to reduce the SDK's size, specify different API versions of

diff --git a/apis/qconnect-2020-10-19.min.json b/apis/qconnect-2020-10-19.min.json
@@ -1229,6 +1229,53 @@
       },
       "idempotent": true
     },
+    "PutFeedback": {
+      "http": {
+        "method": "PUT",
+        "requestUri": "/assistants/{assistantId}/feedback",
+        "responseCode": 200
+      },
+      "input": {
+        "type": "structure",
+        "required": [
+          "assistantId",
+          "contentFeedback",
+          "targetId",
+          "targetType"
+        ],
+        "members": {
+          "assistantId": {
+            "location": "uri",
+            "locationName": "assistantId"
+          },
+          "contentFeedback": {
+            "shape": "S4x"
+          },
+          "targetId": {},
+          "targetType": {}
+        }
+      },
+      "output": {
+        "type": "structure",
+        "required": [
+          "assistantArn",
+          "assistantId",
+          "contentFeedback",
+          "targetId",
+          "targetType"
+        ],
+        "members": {
+          "assistantArn": {},
+          "assistantId": {},
+          "contentFeedback": {
+            "shape": "S4x"
+          },
+          "targetId": {},
+          "targetType": {}
+        }
+      },
+      "idempotent": true
+    },
     "QueryAssistant": {
       "http": {
         "requestUri": "/assistants/{assistantId}/query",
@@ -1358,7 +1405,7 @@
             "locationName": "nextToken"
           },
           "searchExpression": {
-            "shape": "S59"
+            "shape": "S5f"
           }
         }
       },
@@ -1493,10 +1540,10 @@
               ],
               "members": {
                 "attributesInterpolated": {
-                  "shape": "S60"
+                  "shape": "S66"
                 },
                 "attributesNotInterpolated": {
-                  "shape": "S60"
+                  "shape": "S66"
                 },
                 "channels": {
                   "shape": "S1d"
@@ -1562,7 +1609,7 @@
             "locationName": "nextToken"
           },
           "searchExpression": {
-            "shape": "S59"
+            "shape": "S5f"
           }
         }
       },
@@ -2466,7 +2513,22 @@
         "shape": "S2k"
       }
     },
-    "S59": {
+    "S4x": {
+      "type": "structure",
+      "members": {
+        "generativeContentFeedbackData": {
+          "type": "structure",
+          "required": [
+            "relevance"
+          ],
+          "members": {
+            "relevance": {}
+          }
+        }
+      },
+      "union": true
+    },
+    "S5f": {
       "type": "structure",
       "required": [
         "filters"
@@ -2490,7 +2552,7 @@
         }
       }
     },
-    "S60": {
+    "S66": {
       "type": "list",
       "member": {},
       "sensitive": true

diff --git a/apis/qconnect-2020-10-19.normal.json b/apis/qconnect-2020-10-19.normal.json
@@ -168,7 +168,7 @@
           "shape": "ResourceNotFoundException"
         }
       ],
-      "documentation": "<p>Creates a Amazon Q quick response.</p>",
+      "documentation": "<p>Creates an Amazon Q quick response.</p>",
       "idempotent": true
     },
     "CreateSession": {
@@ -794,6 +794,33 @@
       "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>",
       "idempotent": true
     },
+    "PutFeedback": {
+      "name": "PutFeedback",
+      "http": {
+        "method": "PUT",
+        "requestUri": "/assistants/{assistantId}/feedback",
+        "responseCode": 200
+      },
+      "input": {
+        "shape": "PutFeedbackRequest"
+      },
+      "output": {
+        "shape": "PutFeedbackResponse"
+      },
+      "errors": [
+        {
+          "shape": "ValidationException"
+        },
+        {
+          "shape": "AccessDeniedException"
+        },
+        {
+          "shape": "ResourceNotFoundException"
+        }
+      ],
+      "documentation": "<p>Provides feedback against the specified assistant for the specified target. This API only supports generative targets.</p>",
+      "idempotent": true
+    },
     "QueryAssistant": {
       "name": "QueryAssistant",
       "http": {
@@ -902,7 +929,7 @@
           "shape": "ResourceNotFoundException"
         }
       ],
-      "documentation": "<p>Searches existing Amazon Q quick responses in a Amazon Q knowledge base.</p>"
+      "documentation": "<p>Searches existing Amazon Q quick responses in an Amazon Q knowledge base.</p>"
     },
     "SearchSessions": {
       "name": "SearchSessions",
@@ -1264,7 +1291,7 @@
           "documentation": "<p>The type of Amazon Q assistant capability. </p>"
         }
       },
-      "documentation": "<p>The capability configuration for a Amazon Q assistant. </p>"
+      "documentation": "<p>The capability configuration for an Amazon Q assistant. </p>"
     },
     "AssistantCapabilityType": {
       "type": "string",
@@ -1577,6 +1604,17 @@
       },
       "documentation": "<p>Details about the content data.</p>"
     },
+    "ContentFeedbackData": {
+      "type": "structure",
+      "members": {
+        "generativeContentFeedbackData": {
+          "shape": "GenerativeContentFeedbackData",
+          "documentation": "<p>Information about the feedback for a generative target type.</p>"
+        }
+      },
+      "documentation": "<p>Information about the feedback.</p>",
+      "union": true
+    },
     "ContentMetadata": {
       "type": "map",
       "key": {
@@ -2299,6 +2337,19 @@
         "EQUALS"
       ]
     },
+    "GenerativeContentFeedbackData": {
+      "type": "structure",
+      "required": [
+        "relevance"
+      ],
+      "members": {
+        "relevance": {
+          "shape": "Relevance",
+          "documentation": "<p>The relevance of the feedback.</p>"
+        }
+      },
+      "documentation": "<p>The feedback information for a generative target type.</p>"
+    },
     "GenerativeDataDetails": {
       "type": "structure",
       "required": [
@@ -3352,6 +3403,67 @@
         "LOW"
       ]
     },
+    "PutFeedbackRequest": {
+      "type": "structure",
+      "required": [
+        "assistantId",
+        "contentFeedback",
+        "targetId",
+        "targetType"
+      ],
+      "members": {
+        "assistantId": {
+          "shape": "UuidOrArn",
+          "documentation": "<p>The identifier of the Amazon Q assistant.</p>",
+          "location": "uri",
+          "locationName": "assistantId"
+        },
+        "contentFeedback": {
+          "shape": "ContentFeedbackData",
+          "documentation": "<p>Information about the feedback provided.</p>"
+        },
+        "targetId": {
+          "shape": "Uuid",
+          "documentation": "<p>The identifier of the feedback target.</p>"
+        },
+        "targetType": {
+          "shape": "TargetType",
+          "documentation": "<p>The type of the feedback target.</p>"
+        }
+      }
+    },
+    "PutFeedbackResponse": {
+      "type": "structure",
+      "required": [
+        "assistantArn",
+        "assistantId",
+        "contentFeedback",
+        "targetId",
+        "targetType"
+      ],
+      "members": {
+        "assistantArn": {
+          "shape": "UuidOrArn",
+          "documentation": "<p>The Amazon Resource Name (ARN) of the Amazon Q assistant.</p>"
+        },
+        "assistantId": {
+          "shape": "Uuid",
+          "documentation": "<p>The identifier of the Amazon Q assistant.</p>"
+        },
+        "contentFeedback": {
+          "shape": "ContentFeedbackData",
+          "documentation": "<p>Information about the feedback provided.</p>"
+        },
+        "targetId": {
+          "shape": "Uuid",
+          "documentation": "<p>The identifier of the feedback target.</p>"
+        },
+        "targetType": {
+          "shape": "TargetType",
+          "documentation": "<p>The type of the feedback target.</p>"
+        }
+      }
+    },
     "QueryAssistantRequest": {
       "type": "structure",
       "required": [
@@ -4113,6 +4225,13 @@
         "GENERATIVE_ANSWER"
       ]
     },
+    "Relevance": {
+      "type": "string",
+      "enum": [
+        "HELPFUL",
+        "NOT_HELPFUL"
+      ]
+    },
     "RelevanceLevel": {
       "type": "string",
       "enum": [
@@ -4634,6 +4753,13 @@
         "shape": "TagValue"
       }
     },
+    "TargetType": {
+      "type": "string",
+      "enum": [
+        "RECOMMENDATION",
+        "RESULT"
+      ]
+    },
     "TextData": {
       "type": "structure",
       "members": {
@@ -4868,5 +4994,5 @@
       "min": 0
     }
   },
-  "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>"
+  "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>"
 }