parallel-dispatch

Parallel execution is managed by dispatching multiple worker agents simultaneously based on a Directed Acyclic Graph. This orchestrates dispatch, monitors progress, and aggregates results to significantly reduce overall processing time for independent operations.

DAG processing handles dependencies by ensuring dependent tasks execute only after their prerequisites are met. The engine orchestrates dispatch according to the graph structure, tracking worker progress to maintain correct execution order.

If a worker agent fails during concurrent task dispatch, the system tracks the failure and implements recovery strategies. The engine monitors worker progress continuously to detect failures and prevent workflow stalls.

Workflow orchestration can detect and resolve deadlocks in concurrent agent tasks. The engine identifies deadlocks specifically to prevent workflow stalls and ensure continuous progress across the worker pool.

Parallel execution supports file lock coordination for shared resources. This feature works alongside worker pool management to prevent conflicts when multiple concurrent agents access the same files.