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Diagnoses an AI regression by decomposing request stages, configuration changes, token growth, retries, routing, tools, retrieval, caching, and provider behavior.
Balances AI quality, tail latency, and cost through explicit product thresholds, model choice, context control, caching, routing, and measurement.