How it works

ViaLayer AI routes agent requests through a governed model decision layer.

Your agent stack sends requests to one endpoint. ViaLayer AI classifies the task, applies policy constraints, routes to the best model tier, and logs the decision for audit.

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The request path

1. Classify

Analyze task type, complexity, context length, sensitivity, and workflow metadata.

2. Route

Send routine tasks to capable open-source models and escalate complex work to frontier APIs.

3. Audit

Record selected tier, policy checks, timestamps, and routing metadata for governance review.

Step-by-step rollout

Connect

Point LangChain, CrewAI, AutoGen, LlamaIndex, or custom OpenAI-compatible calls to the ViaLayer AI endpoint.

Classify and route

Classify each request by task type, complexity, context length, sensitivity, and workflow metadata before selecting a model tier.

Govern

Apply per-agent allowlists, thresholds, escalation rules, and audit logging so routing decisions remain reviewable.

Roll out

Start with low-risk routines, compare cost and quality against your baseline, then expand gradually as confidence improves.

Policy examples

Routine to OSS

Summarization, extraction, classification, formatting, and repeated checks default to capable open-source tiers when policy allows.

Escalate on triggers

Escalate when confidence is low, context is long, sensitive data is detected, or evaluation checks fail.

Conservative defaults

When routing is uncertain, fall back to the safer tier and log the reason so the policy can be improved.