ngrok is a unified platform that routes, secures, and manages traffic to any LLM, whether it's hosted in the cloud or locally. It also provides usage monitoring, cost optimization, and keeps AI products online.

How does ngrok help with AI products?

ngrok helps by securely exposing local LLMs to the internet, managing traffic to cloud LLMs, monitoring usage, optimizing costs, and ensuring high availability for AI applications.

Can ngrok work with both cloud and local LLMs?

Yes, ngrok supports routing traffic to any LLM, whether it's deployed in the cloud or running locally, providing a unified platform for both scenarios.

Does ngrok offer usage monitoring?

Yes, ngrok includes usage monitoring features that allow you to track traffic, requests, and other metrics to understand and manage your LLM usage effectively.

How does ngrok help with cost optimization?

ngrok helps optimize costs by providing insights into usage patterns, enabling you to control traffic, and potentially reducing unnecessary expenses associated with running LLMs.

Is ngrok suitable for keeping AI products online?

Yes, ngrok is designed to keep AI products online by managing traffic, ensuring reliable connectivity, and providing features to maintain uptime for your applications.

ngrok - AI API services tools - Free trial, pricing intro, performance review, official site access and online experience

What is ngrok?

ngrok is a unified AI gateway that routes, secures, and manages traffic to any LLM—whether it's a public provider like OpenAI or Anthropic, a custom endpoint, or a model you self-host locally. Users connect to a single hosted gateway URL, swap their API key, and immediately start routing requests without deploying any infrastructure. The platform bundles observability, access control, and cost tracking into one service, so teams can manage every model call from a central point. It's built for developers who want to stop juggling multiple provider keys and endpoints and instead work through one consistent interface.

Application scenarios

Multi-provider routing
Send requests to public models like GPT or Claude, then fall back to alternatives if one fails or slows down.
Self-hosted model access
Privately connect to local LLMs without exposing public IPs or opening inbound ports.
Cost monitoring
Track tokens, latency, and errors across every call to see exactly which app, developer, or model drives spending.
Key consolidation
Manage OpenAI, Anthropic, or custom provider keys in one place while keeping existing rates.
Access control per app
Issue separate scoped keys to each app or developer, restricting which providers and models they can call.
Resilient production traffic
Automatically reroute failed or slow requests to healthy alternatives so users never notice outages.

Core Features

One gateway URL
Change your baseURL to `https://gateway.ngrok.ai` and swap your API key—no other code changes needed.
SDK compatibility
Works with the OpenAI SDK, Anthropic SDK, and Vercel AI SDK out of the box.
Local LLM routing
Reach self-hosted models through private connectivity, keeping traffic off public networks.
Bring Your Own Key (BYOK)
Drop in existing provider keys to route through them, pay providers directly, and keep current rates.
Scoped access keys
Give each app or developer its own key with permissions limited to specific providers and models.
Unified observability
See tokens, latency, and errors rolled up across every call, with provider dashboards showing spending per app or developer.
Automatic rerouting
When a model or key slows or fails, requests switch to a healthy alternative you've defined—users never notice.
Built-in retries
Failed requests are retried instantly, so apps keep running without custom error-handling code.
Fully programmable
Configure the gateway entirely through APIs, usable from coding agents, Terraform, CLI, or custom tooling.

Target users

ngrok is aimed at developers and engineering teams building AI-powered products who need to manage multiple model providers without infrastructure overhead. It suits platform engineers who want centralized access control and observability, as well as startups that need to keep self-hosted models private while still reaching public providers. Teams already paying for OpenAI or Anthropic keys can use BYOK to maintain their rates while gaining a single management layer. It's also practical for DevOps teams that want to automate gateway configuration via Terraform or CLI.

How to use ngrok?

Start by signing up on the ngrok website and obtaining an AI access key. Then change your existing SDK's baseURL to https://gateway.ngrok.ai and swap your API key for the ngrok one—no other code changes required. If you use self-hosted models, connect them through private connectivity so they're reachable from the gateway without public IPs. Optionally, bring your own provider keys to route through existing accounts, and set up scoped keys per app or developer to control access. For advanced setups, configure the gateway programmatically via API, Terraform, or CLI. Full documentation is available on the official site.

Pricing and free trial

ngrok charges a flat fee of $0.05 per million tokens for routing, observability, and other gateway features, plus the cost of your inference. If you use ngrok's own keys, inference is passed through at cost; if you bring your own keys, your provider bills you directly. You buy credits up front and ngrok draws down as you route—there are no subscriptions or commitments. The site does not mention a free trial or free tier.

Effect review

ngrok's core value proposition is simplicity: one URL, one key, and every model behind a single gateway. The rerouting and retry features are genuinely useful for production environments where model outages or slowdowns are a real risk. The BYOK model is a smart touch—it lets teams keep existing provider pricing while gaining centralized management. The per-token flat fee is transparent and predictable, which suits variable workloads. That said, the platform's usefulness depends on how many providers it supports and how stable the gateway stays under load, which the site doesn't detail. For teams tired of wiring multiple SDKs and keys, ngrok offers a clean, low-friction alternative worth testing.

ngrok