SilkRouter guide

AI infrastructure control platform for teams building with one API for all models

SilkRouter gives developers one API router for supported models and one platform for controlling routing, prepaid credits, API keys, advanced usage tracking, and client-safe AI operations.

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How it works

One AI infrastructure control platform, explicit controls, measurable usage

Use SilkRouter when AI usage has moved beyond experiments and needs infrastructure controls: which models run, which keys can spend, how much usage is billed, what clients see, and where operators review failures or unusual traffic.

A simple gateway can forward requests. An AI infrastructure control platform also helps founders, SaaS teams, and agencies observe usage, control spend, manage clients, and govern model-powered workflows.

Control layer

Keys, routing, balance, reports

Migration check

SDK, model IDs, streaming

First test

One workflow and one key

Related workflows

AI model routing for teams that need control, not guesswork AI API observability for model-powered products Managed AI API billing for agencies and AI products Prepaid AI API for controlled model usage

Benefits

Why teams evaluate this path

One API for all supported models

Routing, credits, keys, and usage tracking in one workflow

Client-safe billing and reporting for agencies

Client-safe reporting for teams and agencies

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.

What is an AI infrastructure control platform?

It is the operating layer around model calls: API access, routing, keys, spend controls, usage tracking, reporting, and governance for teams building AI products.

Is SilkRouter still an API router?

Yes. The API router is the entry point. The control platform is the dashboard and workflow around routing, prepaid credits, advanced usage tracking, client billing, and governance.

Next step

Create a key and test one workflow.

Start with AI SaaS infrastructure and Agency client AI usage, then review usage before expanding routing rules.

Sign up Create API key

Explore related workflows

AI model routing for teams that need control, not guesswork AI API observability for model-powered products Managed AI API billing for agencies and AI products Prepaid AI API for controlled model usage OpenRouter alternative for agencies that need reporting after the model call LiteLLM managed alternative for teams that want routing without self-hosting Portkey alternative for AI gateway client reporting Helicone alternative for client-ready AI usage reporting