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管理项目上的 IAM 策略

Amazon Bedrock Projects 支持直接 IAM 策略附件，允许您在项目资源级别管理访问控制。这为管理 IAM 用户和角色的策略提供了一种替代方案。

了解项目级 IAM 政策

项目级 IAM 策略允许您：

将 IAM 策略附加到项目

附加策略以授予访问权限

将 IAM 策略直接附加到项目以授予权限：

import boto3
import json

iam = boto3.client('iam', region_name='us-east-1')

project_arn = "arn:aws:bedrock-mantle:us-east-1:123456789012:project/proj_abc123"

# Define the identity-based policy document
policy_document = {
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "AllowTeamAlphaAccess",
            "Effect": "Allow",
            "Action": [
                "bedrock-mantle:ListTagsForResources",
                "bedrock-mantle:GetProject"
            ],
            "Resource": project_arn
        }
    ]
}

policy_json = json.dumps(policy_document)

# Create a managed policy
create_response = iam.create_policy(
    PolicyName="TeamAlphaAccessPolicy",
    PolicyDocument=policy_json,
    Description="Grants Team Alpha read access to the Bedrock project"
)

policy_arn = create_response['Policy']['Arn']
print(f"Policy created: {policy_arn}")

# Attach the policy to alice (IAM user)
iam.attach_user_policy(
    UserName="alice",
    PolicyArn=policy_arn
)
print("Policy attached to alice")

# Attach the policy to bob (IAM user)
iam.attach_user_policy(
    UserName="bob",
    PolicyArn=policy_arn
)
print("Policy attached to bob")

# Attach the policy to TeamAlphaRole (IAM role)
iam.attach_role_policy(
    RoleName="TeamAlphaRole",
    PolicyArn=policy_arn
)
print("Policy attached to TeamAlphaRole")

向团队授予完全项目访问权限

允许团队拥有管理和使用项目的完全访问权限：

import boto3
import json

iam = boto3.client('iam', region_name='us-east-1')

project_arn = "arn:aws:bedrock-mantle:us-east-1:123456789012:project/proj_abc123"

# Identity-based policy — no Principal block needed
policy_document = {
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "FullProjectAccess",
            "Effect": "Allow",
            "Action": "bedrock-mantle:*",
            "Resource": project_arn
        }
    ]
}

# Create a managed policy
create_response = iam.create_policy(
    PolicyName="DataScienceFullAccess",
    PolicyDocument=json.dumps(policy_document),
    Description="Grants DataScienceTeamRole full access to the Bedrock project"
)

policy_arn = create_response['Policy']['Arn']
print(f"Policy created: {policy_arn}")

# Attach to the DataScienceTeamRole
iam.attach_role_policy(
    RoleName="DataScienceTeamRole",
    PolicyArn=policy_arn
)

print("Full access policy attached to DataScienceTeamRole")

授予 只读访问权限

附上仅允许查看项目详细信息和发出推理请求的策略：

import boto3
import json

iam = boto3.client('iam', region_name='us-east-1')

project_arn = "arn:aws:bedrock-mantle:us-east-1:123456789012:project/proj_abc123"

# Identity-based policy — no Principal block needed
policy_document = {
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "ReadOnlyAccess",
            "Effect": "Allow",
            "Action": [
                "bedrock-mantle:CreateInference",
                "bedrock-mantle:GetProject",
                "bedrock-mantle:ListProjects",
                "bedrock-mantle:ListTagsForResources"
            ],
            "Resource": project_arn
        }
    ]
}

# Create a managed policy
create_response = iam.create_policy(
    PolicyName="ReadOnlyAccessPolicy",
    PolicyDocument=json.dumps(policy_document),
    Description="Grants viewer1 and viewer2 read-only access to the Bedrock project"
)

policy_arn = create_response['Policy']['Arn']
print(f"Policy created: {policy_arn}")

# Attach to viewer1
iam.attach_user_policy(
    UserName="viewer1",
    PolicyArn=policy_arn
)
print("Policy attached to viewer1")

# Attach to viewer2
iam.attach_user_policy(
    UserName="viewer2",
    PolicyArn=policy_arn
)
print("Policy attached to viewer2")