MoyuFamily

MoyuFamily / ai-relay

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轻量级 AI API 中转站 — 多 Provider Key 管理、智能路由、故障自动切换、Token 用量统计 | Lightweight AI API relay — multi-key rotation, smart routing, failover & usage tracking

airelay.izmw.me ai api-gateway llm openai typescript
12
3
85% credibility
Found May 24, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

AI Relay is an open-source service that acts as a smart middleman between your applications and AI providers like OpenAI, Claude, DeepSeek, and Xiaomi. Instead of managing multiple API connections, you get one unified endpoint that automatically routes requests to the right provider, rotates between your API keys to avoid rate limits, and switches to backup providers when something goes wrong. It includes a web dashboard for managing keys and viewing usage, notification support for team chat platforms, and generates temporary access keys for short-term projects. The service deploys to Vercel's free infrastructure tier and requires no server management.

How It Works

1
💡 You discover you need a smarter way to use AI

You're using multiple AI services for your project, but managing different accounts, handling outages, and keeping track of costs is getting messy.

2
🚀 You deploy your own AI relay in minutes

With one click, you set up your personal API gateway on the internet. It works right away, no servers to maintain.

3
🔑 You connect your AI provider accounts

Through a simple dashboard, you add your API keys for OpenAI, Claude, DeepSeek, or Xiaomi. Everything stays organized in one place.

4
🔄 Your projects start using a single endpoint

Instead of managing multiple connections, your apps now talk to one address. The relay automatically picks the best provider and rotates between your keys.

5
When something goes wrong
✅
If one AI service has issues

The relay silently switches to your backup provider. Your users never notice the hiccup.

📊
If you want to check everything

The dashboard shows you usage stats, which keys are working, and any errors that happened.

6
🔔 You get notified about what matters

Daily reports arrive in your team chat. If you're running low on quota, you get an alert before it becomes a problem.

🎉 Everything just works

Your AI-powered apps run smoothly with automatic failover, smart routing, and clear visibility into costs and usage.

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AI-Generated Review

What is ai-relay?

AI Relay is a TypeScript-based API gateway that sits between your applications and multiple AI providers. It accepts standard OpenAI-compatible requests, then intelligently routes them across your registered API keys while handling failures, rate limits, and usage tracking automatically. Think of it as a load balancer specifically designed for AI APIs -- one endpoint, many providers, zero downtime headaches.

The service runs on Vercel Edge Runtime, meaning it deploys in minutes and scales globally without server management. You get an admin dashboard to manage keys, configure fallback chains, monitor token usage, and set up webhook alerts across platforms like WeChat Work, Feishu, DingTalk, and Slack.

Why is it gaining traction?

The killer feature is the circuit breaker combined with multi-level fallback chains. When a provider goes down or hits rate limits, requests automatically route to your next configured option without breaking your application. This reliability layer is exactly what developers building production AI features desperately need.

Unlike self-hosted alternatives like OneAPI or FastGPT, there's no infrastructure to manage. The free Vercel tier is genuinely sufficient for personal projects and small teams. The temporary key system with HMAC signing is also a thoughtful touch for CI/CD scenarios where you want time-limited access without key rotation headaches.

Who should use this?

Individual developers managing keys across multiple providers who want a single integration point. Small teams needing shared quota management and visibility into API spend. Anyone running AI features in production who can't afford provider outages to cascade into application failures.

Not suitable for teams requiring enterprise support, high-volume commercial deployments (Vercel KV costs scale with usage), or organizations with strict data residency requirements.

Verdict

This is a well-architected project solving a real problem, and the Edge Runtime approach is genuinely clever. However, with only 12 stars and a credibility score of 0.85%, it's extremely early stage. The documentation is solid, but production hardening and community validation are minimal. Worth experimenting with for personal projects, but validate thoroughly before betting production traffic on it.

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