LLM Observability Setup

We give engineering teams the visibility they need to run AI features in production with confidence. Our observability setup captures each prompt, response, latency reading, token count, and error across every call, then makes that data searchable and chartable. We build dashboards for the metrics that matter, including quality scores, cost trends, and failure rates, and we add alerting so on call engineers know when something drifts. We also set up trace views that show the full path of a request, from the user input through retrieval, prompt building, model call, and final response. This makes debugging hallucinations, slow responses, and broken chains a matter of minutes rather than days. We integrate with your existing logging and monitoring tools so AI telemetry lives alongside the rest of your stack rather than in a separate silo.