Agent Idempotency in Distributed Task Queues
LLM agents break idempotency by regenerating requests instead of replaying them.
Declan Ferreira
Section
7 stories in AI Agent Reliability.
LLM agents break idempotency by regenerating requests instead of replaying them.
LLM outages split into four distinct failure modes, each requiring different defenses.
Build testing practices that assume non-determinism rather than trying to eliminate it.
Gartner forecasts that 40 percent of agent deployments will fail before reaching scale.
Setting timeouts and retries right prevents most agent failures in production.
Silent failures cost more than crashes—here's how to catch them.
Agents running with too much access turn routine failures into production disasters.