Type-safe LLM outputs with Zod: stop guessing what the model returns.
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Practical type safety for LLM outputs using Zod, directly actionable for AI/ML engineers.
Summary
Zod schemas with safeParse enforce runtime validation against LLM output drift—catching extra fields, wrong casing, or unexpected keys via ZodError before they corrupt downstream data. The pattern integrates with the Vercel AI SDK's Output.object and Anthropic SDK's tool_choice, and includes a retry loop that recovers from parse failures without crashing callers. For multi-intent routing, discriminated unions let the model pick a structured branch while Zod guarantees the shape.