Load-aware scheduling layer for multi-agent systems. Routes tokens to the highest-value work, tracks spend across every agent, and self-tunes as workloads shift. One equation, any framework.
async scheduler multi-agent budget-management fairness ai-agents load-balancing token-management llm langchain cost-governance agentic-ai agent-orchestration google-adk contention-resolution
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Updated
Jun 16, 2026 - Python