GPT Agent 'Laziness' Traced to Production Workflow Bugs, Not Model Degradation

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A development team initially attributed a GPT-5.4 agent's declining performance in production to model 'laziness,' characterized by shorter outputs and fewer tool calls. Investigation revealed the issue stemmed from three specific bugs in the workflow orchestration, not the AI model itself. The bugs included a reduced retry limit, a branch incorrectly treating partial answers as complete, and an API path rewarding the first plausible response. Once these workflow errors were corrected, the agent's quality returned to its expected standard.

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