LLM Observability: What to Track in Production (Tokens, Cost, Latency, TTFT and Agent Traces)
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LLM observability means every model call in production can be answered after the fact: what was sent, what came back, which provider and model served it, how long it took to the first token and in total, what it cost, who triggered it, and whether the answer was any good. In practice that comes dow…
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- 2026-10-28 20:31 · DEV Community — AI
LLM Observability: What to Track in Production (Tokens, Cost, Latency, TTFT and Agent Traces)