[untitled]
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I wrote this after building an AI gateway layer for ModelRiver to handle streaming responses, retries, and provider failover across LLM APIs. Phoenix supervision trees ended up being especially useful for isolating failures between model calls. Curious how others are structuring gateway layers in front of LLM providers.