Detecting an agent stuck in a retry loop primarily involves monitoring its behavior and outputs. Key indicators include examining monitoring logs for repeated error messages or successive retry attempts without ultimate task completion, often revealing a stalled process. Observability platforms and metrics play a crucial role, allowing you to track important aspects such as task execution duration, resource consumption, and failure rates. Look for unusually prolonged task times, spikes in API calls to the same endpoint, or consistent CPU/memory utilization without corresponding output or progress. Implementing application-level alerts based on consecutive failures or exceeded retry thresholds can provide immediate notification of such an agent state. Additionally, examining transaction IDs or job status in a centralized dashboard can quickly reveal tasks that are not progressing, confirming the agent is indeed stuck. More details: https://www.omareps.com/external.aspx?s=infoguide.com.ua