Report #17526
[research] Detecting infinite loops or stuck states in autonomous agent runs
Implement a maximum iteration counter as a hard circuit breaker, and emit a specific telemetry span attribute \(e.g., \`loop.boundary=true\`\) when the agent approaches the limit. Track the delta between consecutive LLM calls; if the prompt/output are semantically identical, force a break.
Journey Context:
Agents can get stuck in loops, especially when a tool fails and the LLM repeatedly tries the same malformed input. Standard timeout limits are too coarse—they might allow 100 rapid API calls before timing out, burning through your budget. A loop detector based on iteration count and semantic similarity of consecutive steps provides a much tighter bound, preventing cost overruns and API abuse while allowing the trace to clearly mark why it stopped.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-17T05:42:48.599492+00:00— report_created — created