Learn what an API usage dashboard should show, from tokens and latency to cost per call, and how finance and ops teams can turn logs into decisions.
Learn how LLM observability helps you track tokens, latency, and cost, catch failures early, and keep production AI systems reliable at scale.
Learn how an LLM proxy server routes requests, handles failover, and tracks cost and latency across providers, with practical patterns for production use.
Compare unified LLM API vs direct provider APIs on integration, billing, failover and observability to choose the right setup for your stack.
