SilkRouter guide

AI API for agencies managing multiple client workflows

SilkRouter gives agencies one repeatable API setup for client projects, with separate keys, prepaid balance, routing, and customer-safe usage visibility.

Set up agency API keys Open agency billing

How it works

One AI infrastructure control platform, explicit controls, measurable usage

Agencies can standardize the setup for each client while still choosing workflow-specific models, limits, and monitoring habits.

Without a shared gateway, agencies often juggle provider dashboards, scattered keys, manual invoices, and inconsistent handoffs. A router centralizes the operating layer.

Control layer

Keys, routing, balance, reports

Migration check

SDK, model IDs, streaming

First test

One workflow and one key

Related workflows

Managed AI API billing for agencies and AI products AI API key management for teams with more than one workflow AI API spend limits for products, clients, and bots AI API observability for model-powered products

Benefits

Why teams evaluate this path

Separate keys for clients and environments

Usage reporting for client workspaces

Prepaid credits for budget boundaries

Routing rules for different client workflows

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.

Can agencies show client-safe usage?

Yes. Show billed usage, request counts, model mix, dates, and plain-language client summaries.

What should every client setup include?

A named key, default model, budget rules, monitoring cadence, fallback policy, and offboarding process.

Next step

Create a key and test one workflow.

Start with Automation agencies and AI implementation studios, then review usage before expanding routing rules.

Sign up Create API key

Explore related workflows

Managed AI API billing for agencies and AI products AI API key management for teams with more than one workflow AI API spend limits for products, clients, and bots AI API observability for model-powered products 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