taskmaster

Multi-agent orchestration and token budget tracking are automated by analyzing project complexity, assigning appropriate models, spawning parallel sub-agents, and logging real-time costs. This requires a TaskMaster runtime and OpenClaw integration to execute end-to-end workflows.

Smart task triage assigns AI models by automatically analyzing task complexity and decomposing large projects into actionable steps. It scales from single-step operations to multi-agent workflows by dynamically routing work to Haiku, Sonnet, or Opus models.

Parallel sub-agent execution and real-time cost monitoring are supported within Python environments. The system spawns isolated sub-agents for concurrent operations and applies a deterministic cost model to track per-task budgets and total token accounting.

Per-task budget and token accounting management is handled through a deterministic cost model with real-time cost estimation. The system continuously logs token usage, applies retry policies, and consolidates final deliverables to maintain financial governance.

OpenClaw integration is required to run multi-agent task delegation. The system relies on this integration alongside the TaskMaster runtime to automate task triage, spawn isolated sub-agents, and enforce per-task budget limits.

Task delegation fails without per-task budget limits because the deterministic cost model requires explicit financial governance boundaries. Without token accounting and real-time cost tracking, the system cannot enforce retry policies or prevent budget overruns during parallel sub-agent execution.