Why it matters
Routing and fallback policies are quickly becoming the default way to control token burn in production: the cheapest capable model wins, and expensive calls are reserved for hard cases.
Tokenmaxxing read
Tokenmaxxing is architecture: add routing rules (by task, budget, confidence), cache shared context, and monitor per-agent cost curves so cost scales with difficulty, not with habit.
Source takeaway
The list positions routing layers as a control plane for multi-model stacks, highlighting policy-driven selection, evaluation hooks, and observability as key differentiators.
