SilkRouter guide

AI model routing for teams that need control, not guesswork

SilkRouter helps teams route AI requests through one gateway while keeping model choices explicit and observable.

How it works

One AI infrastructure control platform, explicit controls, measurable usage

Use routing to match tasks to supported models, separate background work from customer-facing answers, and monitor outcomes before changing defaults.

Hardcoding one provider is simple at first. Routing becomes useful when workflows diverge in quality requirements, cost sensitivity, latency, and fallback behavior.

Control layer

Keys, routing, balance, reports

Migration check

SDK, model IDs, streaming

First test

One workflow and one key

Related workflows

OpenAI-compatible API gateway for multi-model AI apps LLM cost optimization without rebuilding your AI stack AI API observability for model-powered products AI agent runtime API for controlled model calls

Benefits

Why teams evaluate this path

Choose models by workflow

Keep one integration path

Monitor model mix and failures

Plan fallbacks without hiding quality changes

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 routing be fully automatic on day one?

No. Start with explicit rules, test behavior, then automate only where the product requirements are clear.

What should routing logs include?

Log model, status, tokens, billed usage, fallback reason where relevant, and safe request metadata.

Next step

Create a key and test one workflow.

Start with SaaS assistants and Batch jobs, then review usage before expanding routing rules.

Sign up Create API key

Explore related workflows

OpenAI-compatible API gateway for multi-model AI apps LLM cost optimization without rebuilding your AI stack AI API observability for model-powered products AI agent runtime API for controlled model calls AI infrastructure control platform for teams building with one API for all models 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