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TL;DR * An AI observability platform captures latency, token usage, error rate, and cost as measurable signals for every LLM request, so teams can see where spend goes instead of reading it off the monthly invoice. * Bifrost calculates cost per request at the gateway using a Model Catalog that auto-

TL;DR * LLM observability captures latency, token usage, cost, and error rate as metrics so teams can measure, alert on, and debug model behavior in production. * Bifrost exposes native Prometheus metrics at the gateway, including bifrost_upstream_latency_seconds, bifrost_input_tokens_total, bifrost_output_tokens_total, and bifrost_cost_