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管理策略和策略引擎
使用这些操作来管理您的策略引擎和策略。
列出策略引擎
查看您账户中的所有策略引擎。
选择以下方法之一:
例
- AWS CLI
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aws bedrock-agentcore-control list-policy-engines
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- AWS Python SDK (Boto3)
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import boto3 client = boto3.client('bedrock-agentcore-control') response = client.list_policy_engines() for engine in response['policyEngines']: print(f"Policy Engine: {engine['name']} (ID: {engine['policyEngineId']})") print(f"Status: {engine['status']}") print(f"Created: {engine['createdAt']}") print(f"ARN: {engine['policyEngineArn']}")
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获取策略引擎
检索有关特定策略引擎的详细信息:
例
- AWS CLI
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aws bedrock-agentcore-control get-policy-engine --policy-engine-id my-policy-engine-id
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- AWS Python SDK (Boto3)
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import boto3 client = boto3.client('bedrock-agentcore-control') response = client.get_policy_engine( policyEngineId='my-policy-engine-id' ) print(f"Policy Engine: {response['name']}") print(f"ID: {response['policyEngineId']}") print(f"ARN: {response['policyEngineArn']}") print(f"Status: {response['status']}") print(f"Created: {response['createdAt']}") print(f"Updated: {response['updatedAt']}")
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在策略引擎中列出策略
查看特定策略引擎中的所有策略:
例
- AWS CLI
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aws bedrock-agentcore-control list-policies --policy-engine-id my-policy-engine-id
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- AWS Python SDK (Boto3)
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import boto3 client = boto3.client('bedrock-agentcore-control') response = client.list_policies( policyEngineId='my-policy-engine-id' ) for policy in response['policies']: print(f"Policy: {policy['name']} (ID: {policy['policyId']})") print(f"Status: {policy['status']}") print(f"Description: {policy.get('description', 'No description')}") print(f"Created: {policy['createdAt']}")
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获取政策
检索有关特定策略的详细信息:
例
- AWS CLI
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aws bedrock-agentcore-control get-policy --policy-engine-id my-policy-engine-id --policy-id my-policy-id
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- AWS Python SDK (Boto3)
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import boto3 client = boto3.client('bedrock-agentcore-control') response = client.get_policy( policyId='my-policy-id', policyEngineId='my-policy-engine-id' ) print(f"Policy: {response['name']}") print(f"ID: {response['policyId']}") print(f"ARN: {response['policyArn']}") print(f"Status: {response['status']}") print(f"Created: {response['createdAt']}") print(f"Updated: {response['updatedAt']}") print(f"Cedar Statement: {response['definition']['cedar']['statement']}")
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更新现有政策
更新策略的定义。
注意
如果更新后的策略是临时策略,或者更新添加或删除了时态表达式,则更新它会使引擎的活跃时态策略会话失效。 In-flight 会话返回 HTTP 409 ConflictException 并且必须重新启动。有关更多信息,请参阅会话失效。
例
- AWS CLI
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aws bedrock-agentcore-control update-policy \ --policy-id my-policy-id \ --policy-engine-id my-policy-engine-id \ --definition '{ "cedar": { "statement": "permit(principal, action, resource);" } }'
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- AWS Python SDK (Boto3)
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import boto3 client = boto3.client('bedrock-agentcore-control') client.update_policy( policyId='my-policy-id', policyEngineId='my-policy-engine-id', definition={ 'cedar': { 'statement': 'permit(principal, action, resource);' } } ) waiter = client.get_waiter('policy_active') waiter.wait(PolicyEngineId="my-policy-engine-id", PolicyId="my-policy-id")
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删除策略
从策略引擎中删除策略。
例
- AWS CLI
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aws bedrock-agentcore-control delete-policy --policy-engine-id my-policy-engine-id --policy-id my-policy-id
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- AWS Python SDK (Boto3)
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import boto3 client = boto3.client('bedrock-agentcore-control') client.delete_policy(policyId='my-policy-id', policyEngineId='my-policy-engine-id') waiter = client.get_waiter('policy_deleted') waiter.wait(PolicyEngineId="my-policy-engine-id", PolicyId="my-policy-id")
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删除策略引擎
删除整个策略引擎及其所有策略。
注意
* 您无法删除当前连接到网关的策略引擎。首先通过更新网关配置将其分离。* 您无法删除包含策略的策略引擎。首先删除所有策略,然后删除引擎
例
- AWS CLI
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aws bedrock-agentcore-control delete-policy-engine --policy-engine-id my-policy-engine-id
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- AWS Python SDK (Boto3)
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import boto3 client = boto3.client('bedrock-agentcore-control') client.delete_policy_engine(policyEngineId='my-policy-engine-id')
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使用带有策略的 AgentCore 网关 AgentCore
错误