Top 5 Tools for Monitoring LLM Applications in 2025
TL;DR:
LLM monitoring requires real-time visibility into prompts, responses, token usage, latency, costs, and quality across production deployments. Effective monitoring platforms provide distributed tracing, automated evaluations, anomaly detection, and alerting to ensure AI applications remain reliable, cost-efficient, and performant at scale. This guide compares the top five monitoring tools:
