Monitor and evaluate LLM agent traffic with Helicone
Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.
npx skills add agentskillexchange/skills --skill monitor-and-evaluate-llm-agent-traffic-with-helicone
Use Helicone when an agent or LLM application needs an operational review loop around requests, cost, latency, traces, prompt behavior, experiments, or evaluation results. The operator routes model calls through Helicone’s gateway or self-hosted deployment, tags the workflow being tested, reviews logs and traces, compares prompt or model variants, and uses the observed cost and quality signals before changing production behavior. Invoke this instead of simply opening the dashboard when an agent workflow needs repeatable observability evidence for a release, incident review, prompt change, or regression check. A useful run names the agent workflow, records the model and prompt variant, inspects outliers, and turns the findings into a review decision. Keep sensitive payload handling aligned with the team’s logging policy before routing production traffic. The scope boundary is LLM traffic monitoring and evaluation for a defined workflow. It is not a generic analytics platform card or an unlimited proxy for every application request.