Agent LLM cost predictability guide
Forecast and control LLM spend for agent workloads using routing tiers, thresholds, and policy-based escalation.
Blog
ViaLayer AI blog: LLM routing for agent cost predictability.
Guides on routing policy, evaluation, governance, infrastructure, and rollout strategy for agent workloads.
Long-form guides
Practical guides for forecasting, routing, governing, and controlling LLM spend in production agent workloads.
Per-token vs flat-rate for agent workloads
A decision framework for choosing per-token APIs versus flat-rate routing as agent volume grows.
How to forecast LLM spend for agents
A simple model using task buckets, routing tiers, token estimates, and escalation rates.
LLM routing for agents
Architecture, policies, evaluation, governance, and rollout strategy for routed model tiers.
Routing policies that cut spend
Policy templates, thresholds, escalation triggers, and governance controls.
Published now
How to evaluate LLM routing quality
A practical framework for comparing routed responses against frontier-only baselines.
Cost controls for agent workloads
How to separate routine model calls from work that genuinely needs frontier reasoning.
Governance logs for AI routing
What teams should log when model selection becomes infrastructure policy.