🔄 Model Fallbacks with LangSmith LLM Gateway Don’t let model outages take your…
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🔄 Model Fallbacks with LangSmith LLM Gateway Don’t let model outages take your agents with them. Define fallback rules across models and hosts and use them across every agent. When a provider goes down or hits a rate limit, calls are routed to another model.
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LangChain’s LangSmith Gateway moves model-outage handling into a shared routing layer. Teams define an ordered chain of model configurations; when an eligible failure occurs, a request can move to an alternative model or host. The post’s configuration image shows that ordering, while the product announcement explains that the rules can apply across applications. This reduces the need to maintain separate fallback logic in every . It addresses availability; the replacement model’s suitability for the task still requires .
- LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
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