houmao-agent-loop-pairwise-v2

You can manually operate the run lifecycle by issuing plan or initialize actions, followed by start, peek, pause, resume, recover, stop, or hard-kill commands for the accepted run_id to maintain strict operator control over tree-loop execution.

When routing packets mismatch during AI agent orchestration, the system enforces strict fail-closed behavior to isolate faults, keeping the user agent outside the execution loop while the designated master supervises the recovery process.

You need explicit run lifecycle management for workflow planning when you require durable initialize material validation and operator-controlled operations, ensuring deterministic routing and recovery semantics for an accepted run_id.

Yes, you can pause and recover an active AI agent run after initialization by applying manual run-control operations to the accepted run_id, allowing you to resume or forcibly terminate the execution with clear lifecycle semantics.

The limitations of legacy pairwise-v2 enriched tree loops include requiring manual activation only when explicitly named by the user, and enforcing strict fail-closed handling that prevents the user agent from entering the execution loop.