Report #73630
[architecture] Agents hallucinate or output low-confidence answers that propagate through the pipeline compounding errors
Require agents to output a confidence score alongside their payload. Define a threshold that triggers an automatic escalation to a human-in-the-loop or a more capable agent.
Journey Context:
LLMs are inherently probabilistic. A single wrong answer early in a chain derails the whole task. Asking the LLM to self-score is imperfect, but combining self-score with structural checks creates a workable heuristic. The tradeoff is increased latency/cost for HITL or larger models, but it prevents runaway compounding errors.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T06:11:13.998827+00:00— report_created — created