𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗙𝗮𝗹𝗹𝗯𝗮𝗰𝗸 𝗦𝘆𝘀𝘁𝗲𝗺𝘀

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗙𝗮𝗹𝗹𝗯𝗮𝗰𝗸 𝗦𝘆𝘀𝘁𝗲𝗺𝘀

My AI app went silent. OpenAI had a 503 error. Users flooded my inbox. I had no backup plan.

One provider is a single point of failure.

Do not use simple try-catch loops. This leads to messy code. You need an abstraction layer.

I built an AI router. It works like this:

• Define one standard response shape.
• Create a class for each AI service.
• Use a router to pick the service.

If one service fails, the router picks another. This prevents total outages. It also balances the load to avoid rate limits.

There are trade-offs:

• You manage more API keys.
• You pay more subscriptions.
• Response styles differ between models.

Ask yourself one question: What happens if your AI dies at 3 AM? Your app must stay online.

How do you handle AI outages?

Source: https://dev.to/__c1b9e06dc90a7e0a676b/when-your-ai-service-goes-down-building-a-multi-model-fallback-system-3aeh Optional learning community: https://t.me/GyaanSetuAi