LLMs in production face various failure modes including timeouts, rate limits, hallucinations, and provider outages. A robust fallback system requires multi-provider setup, smart routing, automatic retries with exponential backoff, clear timeout thresholds, and comprehensive observability. AI gateways centralize this complexity

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When and why LLMs failHow to set up a fallback mechanism for your AI app?Why use an AI gateway for fallback systems?Best practices

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