SilkRouter guide

AI gateway for startups shipping model-powered products

SilkRouter gives startups one gateway to connect AI features, create keys, fund prepaid credits, monitor usage, and adjust model choices as the product changes.

Start with a key Open docs

How it works

One AI infrastructure control platform, explicit controls, measurable usage

Startups move faster when they do not rebuild provider integrations for every new model test or customer workflow.

Direct integration is quickest for a prototype. A gateway becomes useful when the team needs reliability, spend review, key management, and model flexibility before scale arrives.

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 Prepaid AI API for controlled model usage AI API spend limits for products, clients, and bots LLM cost optimization without rebuilding your AI stack

Benefits

Why teams evaluate this path

One integration surface for supported models

Prepaid credits for early budget control

Dashboard visibility for founders and engineers

Routing decisions without broad rewrites

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.

When should a startup add a gateway?

Add one when model choice, usage visibility, key management, or spend control starts taking time away from product work.

Should startups route every workflow immediately?

No. Start with one low-risk workflow, verify behavior, then expand.

Next step

Create a key and test one workflow.

Start with MVPs becoming production apps and AI SaaS, then review usage before expanding routing rules.

Sign up Create API key

Explore related workflows

OpenAI-compatible API gateway for multi-model AI apps Prepaid AI API for controlled model usage AI API spend limits for products, clients, and bots LLM cost optimization without rebuilding your AI stack 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