Bounded LLM Fallback Chains
When a primary AI provider experiences an outage or a rate limit in the middle of the night, applications often suffer from unexpected downtime. The common reaction is to implement a multi-provider failover chain. However, standard fallback loops create a different kind of emergency: runaway billing events. Unbounded retries across multiple models can exhaust available budgets in minutes during a…
In the event of a primary AI service disruption, companies often experience unexpected downtime. The typical response involves setting up a multi-provider fallback chain, but this can lead to a new type of emergency: runaway billing expenses. Uncontrolled retries across several models can rapidly deplete budget limits during a regional failure.
To avoid such cost incidents, systems must impose strict limits on fallback mechanisms. A production-grade fallback tier should deplete the primary provider first, enforce a cap on the number of calls, treat billing errors as permanent halts, and prevent fallbacks from participating in regular dry runs.
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