SilkRouter
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SilkRouter helps teams understand AI traffic by connecting keys, model requests, status, token usage, and customer-safe billed amounts.
Observability should answer what was called, whether it worked, how much was used, and where operators should investigate.
Provider dashboards can be useful, but product teams often need a cross-workflow view tied to their own keys, customers, workspaces, and funded balance.
Track model and status per request
Review usage by key or workflow
Find failed or unusual calls
Keep customer UI focused on usage and status
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.
At minimum: timestamp, key or workspace, model, status, input tokens, output tokens, billed amount, latency, and safe error summary.
Not automatically. Prompt retention needs a clear privacy policy and product reason.
Start with Support debugging and Agency reporting, then review usage before expanding routing rules.