SilkRouter

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SilkRouter guide

OpenAI-compatible API gateway for multi-model AI apps

SilkRouter gives teams an OpenAI-compatible entry point for supported model requests, so existing SDK patterns can often stay familiar.

How it works

One AI infrastructure control platform, explicit controls, measurable usage

Point your app at one API base URL, send model IDs explicitly, and centralize authentication, balance checks, routing, and usage review.

Compatibility should be tested, not assumed. Check your exact SDK, streaming behavior, model IDs, errors, and response parsing before production use.

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

Familiar chat-completion style integration

One gateway for supported models

Central API key and balance controls

Usage monitoring connected to the same workflow

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.

Is every provider feature automatically compatible?

No. Provider-specific tools, response fields, and model behavior may need explicit testing.

What does compatibility usually mean?

A custom base URL, authorization header, model ID, request body, and response shape that work with common OpenAI-style clients.