AI RESEARCH
CAX-Agent: A Lightweight Agent Harness for Reliable APDL Automation
arXiv CS.AI
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ArXi:2605.15218v1 Announce Type: new Large language models deployed for MAPDL finite-element simulation face practical reliability challenges: without structured execution control, tool encapsulation, and fault recovery, outputs may be inconsistent and task failures are common. The Agent Harness paradigm addresses this by inserting domain-specific orchestration middleware that manages tool lifecycles, workflow state, and recovery escalation.