Valibot
A lightweight TypeScript data validation library comparable in functionality to Zod, distinguished by a smaller bundle size and modular design. It is suited for frontend and edge computing scenarios where package size is a constraint.
Core Facts
@ai-sdk/valibot is a Valibot integration module provided by the Vercel AI SDK, allowing developers to use Valibot to define data structures and integrate them into the AI SDK's generation pipeline.
Valibot is a lightweight schema validation library that adopts a functional, tree-composable design and supports tree-shaking.
In certain scenarios, Valibot can keep the compressed bundle size under 1KB, whereas fully importing Zod requires approximately 14KB.
Timeline (last 90 days)
In the AI SDK scenario, developers use Valibot to declare a schema describing the JSON structure the model should return, and the SDK converts it into a JSON Schema the model can understand and uses the same schema for runtime validation after the model returns its result
类型安全封装层在 LLM 应用中的常见做法是用 Zod、Valibot 等运行时校验库定义 schema，再通过 z.infer 等工具自动推导出 TypeScript 类型
Valibot has a smaller bundle size compared to Zod, by a small multiple.
Valibot is a lightweight schema validation library known for its smaller bundle size and modular design.
Valibot's lightweight characteristics are especially critical in edge runtimes such as Cloudflare Workers and Vercel Edge Functions, where cold-start time and package size are strictly constrained.
Valibot is a runtime data validation library for TypeScript, positioned similarly to Zod but with a stronger emphasis on modularity and tree-shaking friendliness
The role of @ai-sdk/valibot is to automatically convert Valibot Schema definitions into the JSON Schema required by the AI SDK and to perform runtime type validation after the model returns results
Each validation function in Valibot is exported independently, allowing bundlers to precisely eliminate unused parts, resulting in a final bundle size typically several times smaller than Zod
Zod uses an object-oriented chained API, while Valibot uses pure function composition where each validation rule is an independent function, making it easier for tree-shaking to precisely eliminate unused parts.
The AI SDK natively supports Zod, and the valibot adapter package provides an alternative for developers who prefer Valibot.
12 more timeline events
All Facts (20)
@ai-sdk/valibot is a Valibot integration module provided by the Vercel AI SDK, allowing developers to use Valibot to define data structures and integrate them into the AI SDK's generation pipeline.
85%VerifiedValibot is a lightweight schema validation library that adopts a functional, tree-composable design and supports tree-shaking.
75%VerifiedIn certain scenarios, Valibot can keep the compressed bundle size under 1KB, whereas fully importing Zod requires approximately 14KB.
75%VerifiedValibot is a lightweight TypeScript data validation library similar to Zod, but with a smaller bundle size and a modular design.
75%UnverifiedIn the AI SDK scenario, developers use Valibot to declare a schema describing the JSON structure the model should return, and the SDK converts it into a JSON Schema the model can understand and uses the same schema for runtime validation after the model returns its result
50%Unverified类型安全封装层在 LLM 应用中的常见做法是用 Zod、Valibot 等运行时校验库定义 schema，再通过 z.infer 等工具自动推导出 TypeScript 类型
50%UnverifiedValibot has a smaller bundle size compared to Zod, by a small multiple.
50%UnverifiedValibot's lightweight characteristics are especially critical in edge runtimes such as Cloudflare Workers and Vercel Edge Functions, where cold-start time and package size are strictly constrained.
50%UnverifiedValibot is a lightweight schema validation library known for its smaller bundle size and modular design.
50%UnverifiedValibot is a runtime data validation library for TypeScript, positioned similarly to Zod but with a stronger emphasis on modularity and tree-shaking friendliness
50%UnverifiedEach validation function in Valibot is exported independently, allowing bundlers to precisely eliminate unused parts, resulting in a final bundle size typically several times smaller than Zod
50%UnverifiedThe role of @ai-sdk/valibot is to automatically convert Valibot Schema definitions into the JSON Schema required by the AI SDK and to perform runtime type validation after the model returns results
50%UnverifiedZod uses an object-oriented chained API, while Valibot uses pure function composition where each validation rule is an independent function, making it easier for tree-shaking to precisely eliminate unused parts.
50%UnverifiedValibot adopts a fully modular functional API, and with tree-shaking, the actual bundled size can be reduced to just a few hundred bytes.
50%UnverifiedThe AI SDK natively supports Zod, and the valibot adapter package provides an alternative for developers who prefer Valibot.
50%UnverifiedValibot adopts an on-demand bundling design, which can reduce bundle size by more than 98% in extreme cases.
50%Unverified@ai-sdk/valibot converts Valibot schemas into the AI SDK's internal unified schema description format, enabling core APIs such as generateObject and streamObject to use Valibot for type constraints and runtime validation of structured outputs.
50%UnverifiedZod bundles all validation logic in a single object, whereas Valibot adopts a functional, on-demand-import modular design in which each validation type is an independent function.
50%UnverifiedDue to its small size, Valibot has advantages in edge computing environments such as Cloudflare Workers and Vercel Edge Functions.
50%UnverifiedIn extreme cases, Valibot can compress schema validation code to under 1KB.
50%