We reran 150 local ModelRiver workflow calls across OpenAI, Anthropic, Gemini, Mistral, and DeepSeek with the same structured-output schema. Here is what passed, what broke, and what the failures looked like.
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AI agent demos always work. Production agents break in ways you can't even see. This post covers the five silent failure modes in multi-step agent systems and the debugging pattern that actually helps.
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A practical guide to adding auto-failover, exact-match caching, observability and response contracts to OpenAI-compatible AI apps without rewriting your integration.
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How ModelRiver's Test Mode lets you build, test, and ship AI features without paying for every failed request, flaky response, or debugging loop.
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Discover why we built ModelRiver: real-time AI infrastructure, auto-failover, structured outputs, client SDKs, CLI, and observability for developers shipping AI products.
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