For these tests, why not tune the temperature and such to reduce the randomness and convert them to almost-always-succeeds vs almost-always-fails? Is it not the iteration count that drives up the cost?
replyIf turn the temperature down for tests, they won’t match production behaviors. If you turn it down too far in production, the output will just be bad.
replyIsn't the goal of the author to get reproducible behavior out of the agent though? I would thinking turning the temperature down would serve that production goal too.
replyright, this is the whole problem - the stochastic behavior is both the goal and the problem. If you want your tests to match production, you need to get a reasonable sample size, which costs real money.
reply