Instruction: Explain how you would debug length-sensitive instability in an AI workflow.
Context: Tests how the candidate diagnoses the problem, chooses the safest next step, and reasons through recovery. Explain how you would debug length-sensitive instability in an AI workflow.
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I would inspect context growth, routing, tool orchestration, and timeout behavior on the long requests specifically. Those requests likely cross a complexity boundary where prompt size, retrieval load, tool sequencing, and model reasoning all start interacting badly.
I would also compare whether the instability is...
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