在 Amazon Bedrock 中使用你的 SageMaker JumpStart 模型 - 亚马逊 SageMaker AI
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在 Amazon Bedrock 中使用你的 SageMaker JumpStart 模型

您可以将已从亚马逊部署的模型注册 SageMaker JumpStart 到 Amazon Bedrock。您可通过 Amazon Bedrock，在多个端点后面托管模型。您还可以使用 Amazon Bedrock 特征，例如座席和知识库。有关使用 Amazon Bedrock 模型的更多信息，请参阅 https://docs.amazonaws.cn/bedrock/latest/userguide/amazon-bedrock-marketplace.html。

重要

要将您的模型迁移到 Amazon Bedrock，我们建议将AmazonBedrockFullAccess策略附加到您的 IAM 角色。如果无法附加托管策略，请确保您的 IAM 角色拥有下列权限：

JSON
{
    	"Version":"2012-10-17",		 	 	 
    	"Statement": [
    		{
    			"Sid": "BedrockAll",
    			"Effect": "Allow",
    			"Action": [
    				"bedrock:*"
    			],
    			"Resource": "*"
    		},
    		{
    			"Sid": "DescribeKey",
    			"Effect": "Allow",
    			"Action": [
    				"kms:DescribeKey"
    			],
    			"Resource": "arn:*:kms:*:::*"
    		},
    		{
    			"Sid": "APIsWithAllResourceAccess",
    			"Effect": "Allow",
    			"Action": [
    				"iam:ListRoles",
    				"ec2:DescribeVpcs",
    				"ec2:DescribeSubnets",
    				"ec2:DescribeSecurityGroups"
    			],
    			"Resource": "*"
    		},
    		{
    			"Sid": "MarketplaceModelEndpointMutatingAPIs",
    			"Effect": "Allow",
    			"Action": [
    				"sagemaker:CreateEndpoint",
    				"sagemaker:CreateEndpointConfig",
    				"sagemaker:CreateModel",
    				"sagemaker:CreateInferenceComponent",
    				"sagemaker:DeleteInferenceComponent",
    				"sagemaker:DeleteEndpoint",
    				"sagemaker:UpdateEndpoint"
    			],
    			"Resource": [
    				"arn:aws:sagemaker:*:*:endpoint/*",
    				"arn:aws:sagemaker:*:*:endpoint-config/*",
    				"arn:aws:sagemaker:*:*:model/*"
    			],
    			"Condition": {
    				"StringEquals": {
    					"aws:CalledViaLast": "bedrock.amazonaws.com"
    				}
    			}
    		},
    		{
    			"Sid": "BedrockEndpointTaggingOperations",
    			"Effect": "Allow",
    			"Action": [
    				"sagemaker:AddTags",
    				"sagemaker:DeleteTags"
    			],
    			"Resource": [
    				"arn:aws:sagemaker:*:*:endpoint/*",
    				"arn:aws:sagemaker:*:*:endpoint-config/*",
    				"arn:aws:sagemaker:*:*:model/*"
    			]
    		},
    		{
    			"Sid": "MarketplaceModelEndpointNonMutatingAPIs",
    			"Effect": "Allow",
    			"Action": [
    				"sagemaker:DescribeEndpoint",
    				"sagemaker:DescribeEndpointConfig",
    				"sagemaker:DescribeModel",
    				"sagemaker:DescribeInferenceComponent",
    				"sagemaker:ListEndpoints",
    				"sagemaker:ListTags"
    			],
    			"Resource": [
    				"arn:aws:sagemaker:*:*:endpoint/*",
    				"arn:aws:sagemaker:*:*:endpoint-config/*",
    				"arn:aws:sagemaker:*:*:model/*"
    			],
    			"Condition": {
    				"StringEquals": {
    					"aws:CalledViaLast": "bedrock.amazonaws.com"
    				}
    			}
    		},
    		{
    			"Sid": "BedrockEndpointInvokingOperations",
    			"Effect": "Allow",
    			"Action": [
    				"sagemaker:InvokeEndpoint",
    				"sagemaker:InvokeEndpointWithResponseStream"
    			],
    			"Resource": [
    				"arn:aws:sagemaker:*:*:endpoint/*"
    			],
    			"Condition": {
    				"StringEquals": {
    					"aws:CalledViaLast": "bedrock.amazonaws.com"
    				}
    			}
    		},
    		{
    			"Sid": "DiscoveringMarketplaceModel",
    			"Effect": "Allow",
    			"Action": [
    				"sagemaker:DescribeHubContent"
    			],
    			"Resource": [
    				"arn:aws:sagemaker:*:aws:hub-content/SageMakerPublicHub/Model/*",
    				"arn:aws:sagemaker:*:aws:hub/SageMakerPublicHub"
    			]
    		},
    		{
    			"Sid": "AllowMarketplaceModelsListing",
    			"Effect": "Allow",
    			"Action": [
    				"sagemaker:ListHubContents"
    			],
    			"Resource": "arn:aws:sagemaker:*:aws:hub/SageMakerPublicHub"
    		},
    		{
    			"Sid": "RetrieveSubscribedMarketplaceLicenses",
    			"Effect": "Allow",
    			"Action": [
    				"license-manager:ListReceivedLicenses"
    			],
    			"Resource": [
    				"*"
    			]
    		},
    		{
    			"Sid": "PassRoleToSageMaker",
    			"Effect": "Allow",
    			"Action": [
    				"iam:PassRole"
    			],
    			"Resource": [
    				"arn:aws:iam::*:role/*Sagemaker*ForBedrock*"
    			],
    			"Condition": {
    				"StringEquals": {
    					"iam:PassedToService": [
    						"sagemaker.amazonaws.com",
    						"bedrock.amazonaws.com"
    					]
    				}
    			}
    		},
    		{
    			"Sid": "PassRoleToBedrock",
    			"Effect": "Allow",
    			"Action": [
    				"iam:PassRole"
    			],
    			"Resource": "arn:aws:iam::*:role/*AmazonBedrock*",
    			"Condition": {
    				"StringEquals": {
    					"iam:PassedToService": [
    						"bedrock.amazonaws.com"
    					]
    				}
    			}
    		}
    	]
    }
重要

Amazon Bedrock Full Access 策略仅提供对 Amazon Bedrock API 的权限。要在中使用 Amazon BedrockAmazon Web Services 管理控制台，您的 IAM 角色还必须具有以下权限：

{
        "Sid": "AllowConsoleS3AccessForBedrockMarketplace",
        "Effect": "Allow",
        "Action": [
          "s3:GetObject",
          "s3:GetBucketCORS",
          "s3:ListBucket",
          "s3:ListBucketVersions",
          "s3:GetBucketLocation"
        ],
        "Resource": "*"
    }

如果您要自行编写策略，则必须附上支持对资源执行 Amazon Bedrock Marketplace 操作的策略声明。例如，以下策略支持 Amazon Bedrock 对已部署到端点的模型使用 InvokeModel 操作。

JSON
{
    
        "Version":"2012-10-17",		 	 	 
        "Statement": [
            {
                "Sid": "BedrockAll",
                "Effect": "Allow",
                "Action": [
                    "bedrock:InvokeModel"
                ],
                "Resource": [
                "arn:aws:bedrock:us-east-1:111122223333:marketplace/model-endpoint/all-access"
                ]
            },
            {
                "Sid": "VisualEditor1",
                "Effect": "Allow",
                "Action": ["sagemaker:InvokeEndpoint"],
                "Resource": "arn:aws:sagemaker:us-east-1:111122223333:endpoint/*",
                "Condition": {
                    "StringEquals": {
                        "aws:ResourceTag/project": "example-project-id",
                        "aws:CalledViaLast": "bedrock.amazonaws.com"
                    }
                }
            }
        ]
    
}

部署模型后，您可能就能够在 Amazon Bedrock 中使用该模型了。要查看是否可以在 Amazon Bedrock 中使用该模型，请导航至 Studio 用户界面中的模型详情卡。如果模型卡片上写着 Bedrock 就绪，则可以在 Amazon Bedrock 中注册该模型。

重要

默认情况下，Amazon SageMaker JumpStart 会禁用您部署的模型的网络访问权限。如果您启用了网络访问权限，则将无法在 Amazon Bedrock 中使用该模型。如果您想在 Amazon Bedrock 中使用该模型，则必须在禁用网络访问权限的情况下重新部署该模型。

要在 Amazon Bedrock 中使用该模型，请导航至端点详细信息页面，然后在 Studio 用户界面右上角选择配合 Bedrock 使用。看到弹出窗口后，选择注册到 Bedrock。