๐ฆ๐๐ผ๐ฝ ๐ข๐ฝ๐ฒ๐ป๐๐ ๐ฅ๐ฎ๐๐ฒ ๐๐ถ๐บ๐ถ๐๐ ๐ฎ๐ป๐ฑ ๐๐ผ๐๐๐
I hit OpenAI rate limits. My app crashed. Users saw blank pages. I spent 300 dollars in one week.
Caching did not help. Switching providers was messy. Rotating keys felt fragile.
I built a proxy. It sits between your app and the AI.
It does these things:
- Routes requests by cost.
- Manages queues.
- Caches responses.
- Hides API keys.
This solved my problem. It has trade-offs.
- Latency increases during fallbacks.
- Response formats vary.
- Monitoring is harder.
Use this pattern if:
- Your traffic spikes.
- Your budget is tight.
- You need high uptime.
Use OpenAI directly for low volume. Use a gateway like Kong for scale.
Add a circuit breaker to stop failing providers.
Create an abstraction layer for all third party APIs. It gives you resilience.
Source: https://dev.to/__c1b9e06dc90a7e0a676b/how-i-stopped-worrying-about-openai-rate-limits-and-costs-40jf Optional learning community: https://t.me/GyaanSetuAi