#tracing

Practices and tools for monitoring, tracing, and debugging AI systems in production, covering token metrics, latency, response quality, costs, and hallucination detection.

Observability technique tracking requests across multiple services in distributed systems, enabling bottleneck identification and failure diagnosis.