list_policy_summaries ¶

def list_policy_summaries(
    self,
    policy_engine_id: "capo_bedrock_agentcore_control.types.resource_id.ResourceId",
    *,
    config_overrides: Optional[BedrockAgentCoreControlClientConfig] = None,
    next_token: Optional[
        "capo_bedrock_agentcore_control.types.next_token.NextToken"
    ] = None,
    max_results: Optional[
        "capo_bedrock_agentcore_control.types.max_results.MaxResults"
    ] = None,
    target_resource_scope: Optional[
        "capo_bedrock_agentcore_control.types.bedrock_agentcore_resource_arn.BedrockAgentcoreResourceArn"
    ] = None,
) -> "capo_bedrock_agentcore_control.types.list_policy_summaries_response.ListPolicySummariesResponse":
    """<p>Retrieves a paginated list of metadata-only policy summaries within a policy engine without decrypting customer content. This lightweight read operation returns resource identifiers, status, and timestamps for each policy, but does not include policy definitions, descriptions, or status reasons. Because this operation does not require access to the customer's KMS key, it is suitable for resource discovery, inventory, and integration scenarios where only metadata is needed.</p>

    Args:
        next_token: <p>A pagination token returned from a previous <a href="https://docs.aws.amazon.com/bedrock-agentcore-control/latest/APIReference/API_ListPolicySummaries.html">ListPolicySummaries</a> call. Use this token to retrieve the next page of results when the response is paginated.</p>
        max_results: <p>The maximum number of policy summaries to return in a single response.</p>
        policy_engine_id: <p>The identifier of the policy engine whose policy summaries to retrieve.</p>
        target_resource_scope: <p>Optional filter to list policy summaries that apply to a specific resource scope or resource type. This helps narrow down results to those relevant for particular Amazon Web Services resources, agent tools, or operational contexts within the policy engine ecosystem.</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.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock_agentcore_control.types.list_policy_summaries_request.ListPolicySummariesRequest]",
    ) -> OperationResponse[
        "capo_bedrock_agentcore_control.types.list_policy_summaries_response.ListPolicySummariesResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.list_policy_summaries

        output, http_response = (
            capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.list_policy_summaries.list_policy_summaries(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListPolicySummaries")
    )
    input_: capo_bedrock_agentcore_control.types.list_policy_summaries_request.ListPolicySummariesRequest = {
        "policy_engine_id": policy_engine_id
    }
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results
    if target_resource_scope is not None:
        input_["target_resource_scope"] = target_resource_scope

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output