SilkRouter
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SilkRouter helps teams put practical limits around AI traffic with prepaid credits, key organization, usage visibility, and cap-oriented controls.
Limits should match the way your product operates: by workspace, client, user, model, environment, or high-volume workflow.
A single global budget is blunt. Better spend control separates risky workflows from normal production traffic and gives operators a clear review path.
Bound spend before traffic grows
Separate usage by API key or client
Watch high-volume models and workflows
Keep user-facing cost data customer-safe
Confirm SDK behavior, base URL setup, model IDs, streaming, and error handling before moving production traffic.
Check how API keys, balance, request logs, low-balance behavior, and offboarding work after launch.
Make sure the usage view answers finance, support, agency, or customer questions without rebuilding data manually.
Use these answers to decide what to test, what to keep, and what not to assume before moving production traffic.
Enforce limits server-side before or during calls. UI-only warnings are useful but not sufficient.
No. Limits should reflect the workflow, client budget, environment, and risk level.
Start with SaaS plans and Agency client budgets, then review usage before expanding routing rules.