The promise of AI is transformative. The reality is distributed, fragile, and increasingly complex. Production LLM applications need more than just a single provider. They need reliability by design.
If you've deployed ML workloads at scale, you know the pain: OpenAI goes down, your app goes down. Anthropic is overloaded, requests queue indefinitely.
This is where Bifrost automatic fallback mechanism comes in. It is a routing layer that transforms single points of failure into resilient, changing request chains.
Traditional LLM integrations look like this:
// Traditional approach - brittle
