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AI agents in production lack real auditing, leaving reasoning chains uncaptured or truncated. An experiment with a LangGraph agent showed 11 of 50 decisions flipped with reworded prompts, each generating confident explanations. Traditional observability tools fail to explain why agents act, creating a critical accountability gap.
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