Retry context: building observability into retry decisions

Retry context: building observability into retry decisions

Originally published on Loop & Retry — field notes on building LLM agents that survive production. The fleet-patterns post explained the patterns that keep a fleet from drowning in its own retries. The when-to-give-up post showed when to retry at all — which layer gets to make the decision, and why most code doesn't ask the right questions. (Both of those build on the cost model and a real incident that motivated it.) This post is about what you…