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🧩 Integrate SignalController with Workers #2

Description

@Synaptic724

📝 Description

Integrate the SignalController into the agent worker system to allow dynamic allocation, dispatch binding, and reserve-mode reuse of workers.

This integration is critical to unlock flexible lifecycle control, especially for agents involved in medium-duration or long-running work. It will allow agent threads to be managed, recycled, and signal-bound within orchestrated task groups.


🧠 Goals

  • Workers must register themselves with the SignalController on deployment.
  • SignalController should support dispatch tagging:
    • active_dispatch: Worker is actively participating.
    • reserved_dispatch: Worker is on standby and available for reuse.
  • Enable reuse logic for workers to avoid teardown/rebuild costs for long tasks.
  • Allow for event-driven handoff between worker roles using signals such as on_task_complete, on_waiting_period, or on_resource_ready.

📐 Key Design Constraints

  • Must not violate current HelpRequest lifecycle guarantees.
  • Must maintain full thread safety.
  • Must ensure no memory leaks or ghosted thread handles after deallocation.
  • Should integrate with current CommandGroup and AgentContainer structure cleanly.

🔧 Suggested Interfaces

Example: Worker auto-registering with SignalController
self._signal_controller.register_agent(
 factory_id=self.factory_id,
 role="reserved_dispatch",
 on_signal=self._reactivate
)

In SignalController:
def tag_dispatch(factory_id: str, role: str): ...
def broadcast_to_role(role: str, signal: str): ...


✅ Acceptance Criteria

  • Workers register themselves with the SignalController.
  • Workers can be placed into a reserved_dispatch role.
  • Workers can be reactivated via signal broadcast (e.g., "reactivate_reserved").
  • Reused workers do not trigger thread safety or double-registration warnings.
  • Unit tests verify role switching, registration, and signal-based lifecycle management.

📎 Related


💬 Comments

“We need a way to allow for reuse of workers in conditions of medium or long work. These conditions are important to allow flexibility and inter-connectivity between workers.”
@Synaptic724

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