SilkRouter

Opening the site...

SilkRouter guide

AI API key management for teams with more than one workflow

SilkRouter centralizes API key creation and usage review so teams can separate environments, clients, products, and experiments cleanly.

How it works

One AI infrastructure control platform, explicit controls, measurable usage

Good key management makes AI traffic easier to debug, disable, rotate, and explain. It also prevents one leaked or stale key from becoming an account-wide problem.

Direct provider keys are fine for prototypes. Teams need stronger management once they have multiple users, client projects, sandbox keys, and production traffic.

Control layer
Keys, routing, balance, reports
Migration check
SDK, model IDs, streaming
First test
One workflow and one key
Benefits

Why teams evaluate this path

Name keys by environment or client

Disable old keys without changing every workflow

Review usage by key

Avoid exposing full API keys after creation

Decision guide

What to check before production traffic

Compatibility

Confirm SDK behavior, base URL setup, model IDs, streaming, and error handling before moving production traffic.

Operating controls

Check how API keys, balance, request logs, low-balance behavior, and offboarding work after launch.

Reporting workflow

Make sure the usage view answers finance, support, agency, or customer questions without rebuilding data manually.

FAQ

Questions buyers ask before switching

Use these answers to decide what to test, what to keep, and what not to assume before moving production traffic.

Should full API keys be visible later?

No. Show full keys only at creation when needed, then use safe prefixes or hints in normal UI.

How often should keys be reviewed?

Review keys whenever a client offboards, a project ends, permissions change, or usage patterns look unusual.