Developer proposes multi-model AI failover router for reliable workflows

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A software developer argues that AI products often fail when relying on a single model provider. They propose building a sequential failover router that switches between providers when specific failures occur. The architecture handles four distinct failure types: hard outages, rate limits, slow responses, and malformed outputs. The system requires an ordered provider list, per-request timeouts, and cooldown periods for rate-limited providers. Implementation examples are provided for both Python code and the n8n workflow platform.

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