Beta coming soon. Join the release list below.
Rollout playbook
Start with a high-volume workload in monitor mode. Compare cost, capability, cacheability, and evaluation evidence before allowing FrugalAI to route an eligible request.
Discuss a pilot workloadControlled rollout
Quality stays in the loop
Monitor
Observe unchanged requests
Assist
Route unpinned requests
Enforce
Apply approved policy
Start with a high-volume workload in monitor mode, compare eligible alternatives against capability and evaluation evidence, then advance only the routes that satisfy the policy you approved.
Product and access
Direct answers about routing, evidence, billing, and the current owner-led beta.
Ask about a pilotgpt-4.1
claude-fable-5
auto
Decision receipt
gemini-3-flash
Select the lowest-cost model that remains eligible under capability, policy, provider, and evidence checks.
See rollout detailsControlled rollout
Quality stays in the loop
Monitor
Observe unchanged requests
Assist
Route unpinned requests
Enforce
Apply approved policy
Move from monitor to assist and enforce, with sampled evaluation and SLO rollback as the guardrail.
See rollout detailsBundled demo fixture
Request decision ledger
Trace requested and routed models, reasons, cache outcomes, latency, cost, and attribution.
See rollout detailsBudget pressure
Act before the invoice
Apply alert, downgrade, or block behavior at explicit organization and team thresholds.
See rollout detailsIncoming request
tenant + policy scope
Exact lookup
hit: 23 ms
Safe reuse
provider call avoided
Optional semantic matching is policy-scoped. Sensitive or dynamic requests can bypass cache entirely.
Avoid repeat provider calls with exact cache and optional policy-approved semantic matching.
See rollout details