(Production) Logging for AI Agents
suzyahyah.github.io · 1,067 words · saved by 1 readers
Summary
Summary Regular software systems are highly deterministic. The same input produces the same output. In such systems, we log the process steps, the control flow is explicit, so logs mainly capture execution/state/errors. Unlike regular software systems, LLM/AI agents are non-deterministic. The same input can produce different multi-step reasoning chains, and are not always reproducible. In agentic systems, control flow is probabilistic, and a key challenge is identifying agent misbehavior even if no programmatic error had occurred. This raises several challenges for Logging AI Agents…
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