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[ML] Improve hard_limit audit message (#42086)
Improve the hard_limit memory audit message by reporting how many bytes over the configured memory limit the job was at the point of the last allocation failure. Previously the model memory usage was reported, however this was inaccurate and hence of limited use - primarily because the total memory used by the model can decrease significantly after the models status is changed to hard_limit but before the model size stats are reported from autodetect to ES. While this PR contains the changes to the format of the hard_limit audit message it is dependent on modifications to the ml-cpp backend to send additional data fields in the model size stats message. These changes will follow in a subsequent PR. It is worth noting that this PR must be merged prior to the ml-cpp one, to keep CI tests happy.
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