Retrieves detailed information about an online evaluation configuration, including its rules, data sources, evaluators, and execution status.
Parameters:
-
online_evaluation_config_id
(OnlineEvaluationConfigId)
–
The unique identifier of the online evaluation configuration to retrieve.
Raises:
Source code in docs_src/capo_bedrock_agentcore_control/_services/bedrock_agent_core_control.py
| def get_online_evaluation_config(
self,
online_evaluation_config_id: "capo_bedrock_agentcore_control.types.online_evaluation_config_id.OnlineEvaluationConfigId",
*,
config_overrides: Optional[BedrockAgentCoreControlClientConfig] = None,
) -> "capo_bedrock_agentcore_control.types.get_online_evaluation_config_response.GetOnlineEvaluationConfigResponse":
"""<p> Retrieves detailed information about an online evaluation configuration, including its rules, data sources, evaluators, and execution status. </p>
Args:
online_evaluation_config_id: <p> The unique identifier of the online evaluation configuration to retrieve. </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.get_online_evaluation_config_request.GetOnlineEvaluationConfigRequest]",
) -> OperationResponse[
"capo_bedrock_agentcore_control.types.get_online_evaluation_config_response.GetOnlineEvaluationConfigResponse"
]:
import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.get_online_evaluation_config
output, http_response = (
capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.get_online_evaluation_config.get_online_evaluation_config(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_bedrock_agentcore_control.types.get_online_evaluation_config_response.GetOnlineEvaluationConfigResponse",
) -> dict[str, Any]:
import capo_bedrock_agentcore_control.types.get_online_evaluation_config_response
return capo_bedrock_agentcore_control.types.get_online_evaluation_config_response.redact_sensitive(
output
)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("GetOnlineEvaluationConfig", redact_output=_redact_output),
)
input_: capo_bedrock_agentcore_control.types.get_online_evaluation_config_request.GetOnlineEvaluationConfigRequest = {
"online_evaluation_config_id": online_evaluation_config_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|