error-recovery

Cascading failure across multi-agent workflows is handled by applying tiered recovery strategies like transient retries with exponential backoff, semantic fallbacks, agent substitution, and human escalation, reducing downtime and manual intervention across orchestrated tasks.

Retrying transient errors and rate limits in agent orchestration is best handled using exponential backoff with jitter, which spaces out repeated requests to prevent system overload and gracefully recover from temporary failures.

Circuit breaking for blocking errors in multi-agent systems works by acting as a guardrail that trips when failure thresholds are exceeded, halting repeated execution attempts and triggering structured human escalation templates instead of causing a total workflow collapse.

Yes, you can use agent substitution rules to bypass capability gaps and context overflow. The system classifies these specific output and capability errors, automatically substituting the failing agent with a suitable alternative to maintain workflow continuity.

No, you do not need to manually classify errors before applying recovery strategies. The system automatically classifies failures into transient, output, capability, and blocking error categories to apply tailored recovery logic and structured escalation automatically.

Human escalation templates for invalid outputs are set up as a final tier in the recovery process. When semantic fallbacks and agent substitution rules fail to resolve output issues, the system generates structured templates to alert human operators for manual intervention.