Universal API
Point OpenAI-compatible calls to one endpoint while keeping LangChain, CrewAI, AutoGen, LlamaIndex, or custom orchestration logic.
A universal API that routes every agent request to the right model tier, keeps quality through safe escalation, and gives teams a clearer governance trail for LLM usage.
ViaLayer AI is routing infrastructure for agent workloads. Point your stack to one universal endpoint and route each request to the optimal model tier with governance and audit logs.
Point OpenAI-compatible calls to one endpoint while keeping LangChain, CrewAI, AutoGen, LlamaIndex, or custom orchestration logic.
Classify task complexity, context, and policy requirements before choosing OSS inference or frontier APIs.
Use hosted routing now, with a path to owned or controlled inference infrastructure for predictable cost and data boundaries.
Expose routing metadata, policy checks, selected tiers, and timestamps for cost review and audit workflows.
Start small, prove quality and savings, then expand policies and capacity as routing volume grows.
For prototypes and early agent workloads.
For production workloads and multi-agent apps.
For large-scale routing and custom deployment requirements.
No. Adoption starts by pointing existing OpenAI-compatible calls at the ViaLayer AI endpoint while keeping your agent framework and orchestration logic in place.
Routing starts with low-risk routines, uses thresholds and escalation triggers, and compares quality against your frontier-only baseline before expansion.
Teams can review selected tier, routing reason, policy checks, workflow tags, timestamps, and escalation outcomes for every routed request.
A practical guide for forecasting and controlling agent LLM spend with routing tiers and escalation policies.
A practical guide for architecture, policies, evaluation, governance, and rollout strategy.