Update to latest models

.changes/next-release/api-change-bedrockagent-48189.json

@@ -0,0 +1,5 @@
+{
+  "type": "api-change",
+  "category": "``bedrock-agent``",
+  "description": "Introduces support for Neptune Analytics as a vector data store and adds Context Enrichment Configurations, enabling use cases such as GraphRAG."
+}

.changes/next-release/api-change-bedrockagentruntime-18353.json

@@ -0,0 +1,5 @@
+{
+  "type": "api-change",
+  "category": "``bedrock-agent-runtime``",
+  "description": "Support Multi Agent Collaboration within Inline Agents"
+}

.changes/next-release/api-change-cloudfront-62937.json

@@ -0,0 +1,5 @@
+{
+  "type": "api-change",
+  "category": "``cloudfront``",
+  "description": "Documentation updates for Amazon CloudFront."
+}

.changes/next-release/api-change-ec2-35909.json

@@ -0,0 +1,5 @@
+{
+  "type": "api-change",
+  "category": "``ec2``",
+  "description": "Add serviceManaged field to DescribeAddresses API response."
+}

.changes/next-release/api-change-elbv2-75734.json

@@ -0,0 +1,5 @@
+{
+  "type": "api-change",
+  "category": "``elbv2``",
+  "description": "This release adds support for assigning IP addresses to Application Load Balancers from VPC IP Address Manager pools."
+}

.changes/next-release/api-change-neptunegraph-13429.json

@@ -0,0 +1,5 @@
+{
+  "type": "api-change",
+  "category": "``neptune-graph``",
+  "description": "Several small updates to resolve customer requests."
+}

botocore/data/bedrock-agent-runtime/2023-07-26/service-2.json

@@ -706,6 +706,14 @@
       "min":0,
       "pattern":"^[0-9a-zA-Z]+$"
     },
+    "AgentCollaboration":{
+      "type":"string",
+      "enum":[
+        "SUPERVISOR",
+        "SUPERVISOR_ROUTER",
+        "DISABLED"
+      ]
+    },
     "AgentCollaboratorInputPayload":{
       "type":"structure",
       "members":{
@@ -1189,6 +1197,100 @@
       },
       "documentation":"<p>Contains the JSON-formatted string returned by the API invoked by the code interpreter.</p>"
     },
+    "CollaborationInstruction":{
+      "type":"string",
+      "max":4000,
+      "min":1,
+      "sensitive":true
+    },
+    "Collaborator":{
+      "type":"structure",
+      "required":[
+        "foundationModel",
+        "instruction"
+      ],
+      "members":{
+        "actionGroups":{
+          "shape":"AgentActionGroups",
+          "documentation":"<p> List of action groups with each action group defining tasks the inline collaborator agent needs to carry out. </p>"
+        },
+        "agentCollaboration":{
+          "shape":"AgentCollaboration",
+          "documentation":"<p> Defines how the inline supervisor agent handles information across multiple collaborator agents to coordinate a final response. </p>"
+        },
+        "agentName":{
+          "shape":"Name",
+          "documentation":"<p> Name of the inline collaborator agent which must be the same name as specified for <code>collaboratorName</code>. </p>"
+        },
+        "collaboratorConfigurations":{
+          "shape":"CollaboratorConfigurations",
+          "documentation":"<p> Settings of the collaborator agent. </p>"
+        },
+        "customerEncryptionKeyArn":{
+          "shape":"KmsKeyArn",
+          "documentation":"<p> The Amazon Resource Name (ARN) of the AWS KMS key that encrypts the inline collaborator. </p>"
+        },
+        "foundationModel":{
+          "shape":"ModelIdentifier",
+          "documentation":"<p> The foundation model used by the inline collaborator agent. </p>"
+        },
+        "guardrailConfiguration":{
+          "shape":"GuardrailConfigurationWithArn",
+          "documentation":"<p> Details of the guardwrail associated with the inline collaborator. </p>"
+        },
+        "idleSessionTTLInSeconds":{
+          "shape":"SessionTTL",
+          "documentation":"<p> The number of seconds for which the Amazon Bedrock keeps information about the user's conversation with the inline collaborator agent.</p> <p>A user interaction remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Bedrock deletes any data provided before the timeout. </p>"
+        },
+        "instruction":{
+          "shape":"Instruction",
+          "documentation":"<p> Instruction that tell the inline collaborator agent what it should do and how it should interact with users. </p>"
+        },
+        "knowledgeBases":{
+          "shape":"KnowledgeBases",
+          "documentation":"<p> Knowledge base associated with the inline collaborator agent. </p>"
+        },
+        "promptOverrideConfiguration":{
+          "shape":"PromptOverrideConfiguration",
+          "documentation":"<p> Contains configurations to override prompt templates in different parts of an inline collaborator sequence. For more information, see <a href=\"https://docs.aws.amazon.com/bedrock/latest/userguide/advanced-prompts.html\">Advanced prompts</a>. </p>"
+        }
+      },
+      "documentation":"<p> List of inline collaborators. </p>"
+    },
+    "CollaboratorConfiguration":{
+      "type":"structure",
+      "required":[
+        "collaboratorInstruction",
+        "collaboratorName"
+      ],
+      "members":{
+        "agentAliasArn":{
+          "shape":"AgentAliasArn",
+          "documentation":"<p> The Amazon Resource Name (ARN) of the inline collaborator agent. </p>"
+        },
+        "collaboratorInstruction":{
+          "shape":"CollaborationInstruction",
+          "documentation":"<p> Instructions that tell the inline collaborator agent what it should do and how it should interact with users. </p>"
+        },
+        "collaboratorName":{
+          "shape":"Name",
+          "documentation":"<p> Name of the inline collaborator agent which must be the same name as specified for <code>agentName</code>. </p>"
+        },
+        "relayConversationHistory":{
+          "shape":"RelayConversationHistory",
+          "documentation":"<p> A relay conversation history for the inline collaborator agent. </p>"
+        }
+      },
+      "documentation":"<p> Settings of an inline collaborator agent. </p>"
+    },
+    "CollaboratorConfigurations":{
+      "type":"list",
+      "member":{"shape":"CollaboratorConfiguration"}
+    },
+    "Collaborators":{
+      "type":"list",
+      "member":{"shape":"Collaborator"}
+    },
     "ConfirmationState":{
       "type":"string",
       "enum":[
@@ -3157,6 +3259,10 @@
     "InlineSessionState":{
       "type":"structure",
       "members":{
+        "conversationHistory":{
+          "shape":"ConversationHistory",
+          "documentation":"<p> Contains the conversation history that persist across sessions. </p>"
+        },
         "files":{
           "shape":"InputFiles",
           "documentation":"<p> Contains information about the files used by code interpreter. </p>"
@@ -3602,10 +3708,22 @@
           "shape":"AgentActionGroups",
           "documentation":"<p> A list of action groups with each action group defining the action the inline agent needs to carry out. </p>"
         },
+        "agentCollaboration":{
+          "shape":"AgentCollaboration",
+          "documentation":"<p> Defines how the inline collaborator agent handles information across multiple collaborator agents to coordinate a final response. The inline collaborator agent can also be the supervisor. </p>"
+        },
         "bedrockModelConfigurations":{
           "shape":"InlineBedrockModelConfigurations",
           "documentation":"<p>Model settings for the request.</p>"
         },
+        "collaboratorConfigurations":{
+          "shape":"CollaboratorConfigurations",
+          "documentation":"<p> Settings for an inline agent collaborator called with <a href=\"https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent-runtime_InvokeInlineAgent.html\">InvokeInlineAgent</a>. </p>"
+        },
+        "collaborators":{
+          "shape":"Collaborators",
+          "documentation":"<p> List of collaborator inline agents. </p>"
+        },
         "customerEncryptionKeyArn":{
           "shape":"KmsKeyArn",
           "documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Web Services KMS key to use to encrypt your inline agent. </p>"
@@ -4792,6 +4910,10 @@
           "shape":"BasePromptTemplate",
           "documentation":"<p>Defines the prompt template with which to replace the default prompt template. You can use placeholder variables in the base prompt template to customize the prompt. For more information, see <a href=\"https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-placeholders.html\">Prompt template placeholder variables</a>. For more information, see <a href=\"https://docs.aws.amazon.com/bedrock/latest/userguide/advanced-prompts-configure.html\">Configure the prompt templates</a>.</p>"
         },
+        "foundationModel":{
+          "shape":"ModelIdentifier",
+          "documentation":"<p> The foundation model to use. </p>"
+        },
         "inferenceConfiguration":{
           "shape":"InferenceConfiguration",
           "documentation":"<p>Contains inference parameters to use when the agent invokes a foundation model in the part of the agent sequence defined by the <code>promptType</code>. For more information, see <a href=\"https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html\">Inference parameters for foundation models</a>.</p>"
@@ -5042,6 +5164,13 @@
       "documentation":"<p>Contains information about the reasoning that the model used to return the content in the content block.</p>",
       "sensitive":true
     },
+    "RelayConversationHistory":{
+      "type":"string",
+      "enum":[
+        "TO_COLLABORATOR",
+        "DISABLED"
+      ]
+    },
     "RepromptResponse":{
       "type":"structure",
       "members":{
@@ -6320,6 +6449,10 @@
       "max":25000000,
       "min":0
     },
+    "SyntheticTimestamp_date_time":{
+      "type":"timestamp",
+      "timestampFormat":"iso8601"
+    },
     "TagKey":{
       "type":"string",
       "documentation":"<p>Key of a tag</p>",
@@ -6568,6 +6701,10 @@
           "shape":"Name",
           "documentation":"<p>The part's collaborator name.</p>"
         },
+        "eventTime":{
+          "shape":"SyntheticTimestamp_date_time",
+          "documentation":"<p> The time of the trace. </p>"
+        },
         "sessionId":{
           "shape":"SessionId",
           "documentation":"<p>The unique identifier of the session with the agent.</p>"

botocore/data/bedrock-agent/2023-06-05/service-2.json

@@ -2465,6 +2465,24 @@
       },
       "documentation":"<p>Settings for a foundation model used to parse documents for a data source.</p>"
     },
+    "BedrockFoundationModelContextEnrichmentConfiguration":{
+      "type":"structure",
+      "required":[
+        "enrichmentStrategyConfiguration",
+        "modelArn"
+      ],
+      "members":{
+        "enrichmentStrategyConfiguration":{
+          "shape":"EnrichmentStrategyConfiguration",
+          "documentation":"<p>The enrichment stategy used to provide additional context. For example, Neptune GraphRAG uses Amazon Bedrock foundation models to perform chunk entity extraction.</p>"
+        },
+        "modelArn":{
+          "shape":"BedrockModelArn",
+          "documentation":"<p>The Amazon Resource Name (ARN) of the foundation model used for context enrichment.</p>"
+        }
+      },
+      "documentation":"<p>Context enrichment configuration is used to provide additional context to the RAG application using Amazon Bedrock foundation models.</p>"
+    },
     "BedrockModelArn":{
       "type":"string",
       "max":2048,
@@ -2718,6 +2736,25 @@
         "S3"
       ]
     },
+    "ContextEnrichmentConfiguration":{
+      "type":"structure",
+      "required":["type"],
+      "members":{
+        "bedrockFoundationModelConfiguration":{
+          "shape":"BedrockFoundationModelContextEnrichmentConfiguration",
+          "documentation":"<p>The configuration of the Amazon Bedrock foundation model used for context enrichment.</p>"
+        },
+        "type":{
+          "shape":"ContextEnrichmentType",
+          "documentation":"<p>The method used for context enrichment. It must be Amazon Bedrock foundation models.</p>"
+        }
+      },
+      "documentation":"<p>Context enrichment configuration is used to provide additional context to the RAG application.</p>"
+    },
+    "ContextEnrichmentType":{
+      "type":"string",
+      "enum":["BEDROCK_FOUNDATION_MODEL"]
+    },
     "ConversationRole":{
       "type":"string",
       "enum":[
@@ -4427,6 +4464,21 @@
       "max":1,
       "min":1
     },
+    "EnrichmentStrategyConfiguration":{
+      "type":"structure",
+      "required":["method"],
+      "members":{
+        "method":{
+          "shape":"EnrichmentStrategyMethod",
+          "documentation":"<p>The method used for the context enrichment strategy.</p>"
+        }
+      },
+      "documentation":"<p>The strategy used for performing context enrichment.</p>"
+    },
+    "EnrichmentStrategyMethod":{
+      "type":"string",
+      "enum":["CHUNK_ENTITY_EXTRACTION"]
+    },
     "ErrorMessage":{
       "type":"string",
       "max":2048,
@@ -5875,6 +5927,14 @@
         }
       }
     },
+    "GraphArn":{
+      "type":"string",
+      "documentation":"<p>ARN for Neptune Analytics graph database</p>",
+      "max":255,
+      "min":1,
+      "pattern":"^arn:aws(|-cn|-us-gov):neptune-graph:[a-zA-Z0-9-]*:[0-9]{12}:graph/g-[a-zA-Z0-9]{10}$",
+      "sensitive":true
+    },
     "GuardrailConfiguration":{
       "type":"structure",
       "members":{
@@ -6560,7 +6620,8 @@
         "PINECONE",
         "REDIS_ENTERPRISE_CLOUD",
         "RDS",
-        "MONGO_DB_ATLAS"
+        "MONGO_DB_ATLAS",
+        "NEPTUNE_ANALYTICS"
       ]
     },
     "KnowledgeBaseSummaries":{
@@ -7632,6 +7693,42 @@
       "max":1000,
       "min":1
     },
+    "NeptuneAnalyticsConfiguration":{
+      "type":"structure",
+      "required":[
+        "fieldMapping",
+        "graphArn"
+      ],
+      "members":{
+        "fieldMapping":{
+          "shape":"NeptuneAnalyticsFieldMapping",
+          "documentation":"<p>Contains the names of the fields to which to map information about the vector store.</p>"
+        },
+        "graphArn":{
+          "shape":"GraphArn",
+          "documentation":"<p>The Amazon Resource Name (ARN) of the Neptune Analytics vector store.</p>"
+        }
+      },
+      "documentation":"<p>Contains details about the storage configuration of the knowledge base in Amazon Neptune Analytics. For more information, see <a href=\"https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base-setup-neptune.html\">Create a vector index in Amazon Neptune Analytics</a>.</p>"
+    },
+    "NeptuneAnalyticsFieldMapping":{
+      "type":"structure",
+      "required":[
+        "metadataField",
+        "textField"
+      ],
+      "members":{
+        "metadataField":{
+          "shape":"FieldName",
+          "documentation":"<p>The name of the field in which Amazon Bedrock stores metadata about the vector store.</p>"
+        },
+        "textField":{
+          "shape":"FieldName",
+          "documentation":"<p>The name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.</p>"
+        }
+      },
+      "documentation":"<p>Contains the names of the fields to which to map information about the vector store.</p>"
+    },
     "NextToken":{
       "type":"string",
       "max":2048,
@@ -9376,6 +9473,10 @@
           "shape":"MongoDbAtlasConfiguration",
           "documentation":"<p>Contains the storage configuration of the knowledge base in MongoDB Atlas.</p>"
         },
+        "neptuneAnalyticsConfiguration":{
+          "shape":"NeptuneAnalyticsConfiguration",
+          "documentation":"<p>Contains details about the Neptune Analytics configuration of the knowledge base in Amazon Neptune. For more information, see <a href=\"https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base-setup-neptune.html\">Create a vector index in Amazon Neptune Analytics.</a>.</p>"
+        },
         "opensearchServerlessConfiguration":{
           "shape":"OpenSearchServerlessConfiguration",
           "documentation":"<p>Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.</p>"
@@ -10686,6 +10787,10 @@
           "shape":"ChunkingConfiguration",
           "documentation":"<p>Details about how to chunk the documents in the data source. A <i>chunk</i> refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried.</p>"
         },
+        "contextEnrichmentConfiguration":{
+          "shape":"ContextEnrichmentConfiguration",
+          "documentation":"<p>The context enrichment configuration used for ingestion of the data into the vector store.</p>"
+        },
         "customTransformationConfiguration":{
           "shape":"CustomTransformationConfiguration",
           "documentation":"<p>A custom document transformer for parsed data source documents.</p>"