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get_policy_engine async

get_policy_engine(
    policy_engine_id: ResourceId,
    *,
    config_overrides: Optional[AsyncBedrockAgentCoreControlClientConfig] = None,
) -> GetPolicyEngineResponse

Retrieves detailed information about a specific policy engine within the AgentCore Policy system. This operation returns the complete policy engine configuration, metadata, and current status, allowing administrators to review and manage policy engine settings.

Parameters:

  • policy_engine_id (ResourceId) –

    The unique identifier of the policy engine to be retrieved. This must be a valid policy engine ID that exists within the account.

Raises:

Source code in docs_src/capo_bedrock_agentcore_control/_services/async_bedrock_agent_core_control.py
async def get_policy_engine(
    self,
    policy_engine_id: "capo_bedrock_agentcore_control.types.resource_id.ResourceId",
    *,
    config_overrides: Optional[AsyncBedrockAgentCoreControlClientConfig] = None,
) -> "capo_bedrock_agentcore_control.types.get_policy_engine_response.GetPolicyEngineResponse":
    """<p>Retrieves detailed information about a specific policy engine within the AgentCore Policy system. This operation returns the complete policy engine configuration, metadata, and current status, allowing administrators to review and manage policy engine settings.</p>

    Args:
        policy_engine_id: <p>The unique identifier of the policy engine to be retrieved. This must be a valid policy engine ID that exists within the account.</p>

    Raises:
        capo_bedrock_agentcore_control.errors.access_denied_exception.AccessDeniedException: <p>This exception is thrown when a request is denied per access permissions</p>
        capo_bedrock_agentcore_control.errors.internal_server_exception.InternalServerException: <p>This exception is thrown if there was an unexpected error during processing of request</p>
        capo_bedrock_agentcore_control.errors.resource_not_found_exception.ResourceNotFoundException: <p>This exception is thrown when a resource referenced by the operation does not exist</p>
        capo_bedrock_agentcore_control.errors.throttling_exception.ThrottlingException: <p>This exception is thrown when the number of requests exceeds the limit</p>
        capo_bedrock_agentcore_control.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service.</p>
        capo_bedrock_agentcore_control.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock_agentcore_control.types.get_policy_engine_request.GetPolicyEngineRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agentcore_control.types.get_policy_engine_response.GetPolicyEngineResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.get_policy_engine

        (
            output,
            http_response,
        ) = await capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.get_policy_engine.async_get_policy_engine(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_bedrock_agentcore_control.types.get_policy_engine_response.GetPolicyEngineResponse",
    ) -> dict[str, Any]:
        import capo_bedrock_agentcore_control.types.get_policy_engine_response

        return capo_bedrock_agentcore_control.types.get_policy_engine_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("GetPolicyEngine", redact_output=_redact_output),
    )
    input_: capo_bedrock_agentcore_control.types.get_policy_engine_request.GetPolicyEngineRequest = {
        "policy_engine_id": policy_engine_id
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output