Agentic Re-Planning & Self-Correction Lab

Enterprise Autonomous Agent Dynamic Re-Planning Simulator

Simulate and benchmark autonomous agent dynamic re-planning and self-correction overhead. Contrast unconstrained Reflexion loops against static counter aborts and sovereign bounded DAG re-planning with sub-1.8s convergence and 0.0% deadlocks.

Re-Planning Architecture Comparison

Elesium Bounded Deterministic Re-Planner

DAG-constrained state reflection refines plans via grammar decoding in sub-1.8s, eliminating circular prompt deadlocks with 99.4% task convergence.

Re-planning Latency: 1,750ms | Convergence: 99.4% | Deadlock Risk: 0.0%

Static Counter Circuit Breaker (Max N Retries)

Hard aborts after fixed attempts; avoids infinite loops but prematurely terminates 26.5% of recoverable enterprise tasks, causing heavy manual triage.

Re-planning Latency: 3,600ms | Convergence: 73.5% | False Abort Rate: 26.5%

Unbounded Self-Correction Loop (Naive Reflexion)

Unconstrained prompt reflection loops oscillate between conflicting hypotheses, driving 14s+ latency spikes, runaway token bills, and 14.2% deadlocks.

Re-planning Latency: 14,400ms | Convergence: 78.5% | Deadlock Risk: 14.2%