@ai-sdk/valibot 3.0.64 Released: Patch Update and Dependency Upgrade

The Valibot adapter package @ai-sdk/valibot in the AI SDK ecosystem has released version 3.0.64. This is a patch release focused primarily on dependency updates, without introducing new features or breaking changes, making it suitable for developers using AI SDK with Valibot for type-safe validation to upgrade quickly.

What's in This Release

According to the GitHub release page, this update is a Patch Changes release containing two main dependency changes: it updates @ai-sdk/provider-utils to version 5.0.64 and merges two related commits (0c2a9de and 200c47f). The specific changes are not detailed in the release notes, but the dependency version numbers indicate this is a synchronized update of the upstream utility library.

For teams with strict dependency locking, it is recommended to check the version constraint of @ai-sdk/provider-utils in package.json to ensure compatibility with other AI SDK packages after upgrading.

@ai-sdk/provider-utils is the shared low-level utility library used by AI SDK providers and adapter packages. It encapsulates common logic such as schema-to-JSON-Schema conversion, tool call parameter parsing, and streaming response handling. Adapter packages typically declare this library as a direct or peer dependency, with version numbers synchronized to the AI SDK main version cadence. When the upstream utility library releases a patch, downstream adapters follow with a release to lock in compatible combinations—which is why the trailing version numbers of 3.0.64 and 5.0.64 match. Under npm's semantic versioning rules, a patch number change means it contains only backward-compatible fixes, so such synchronized updates generally do not change the public API.

Practical Impact for Developers

Such patch updates are typically used to fix underlying issues or align upstream dependency versions. Since there are no API changes, existing code requires no modification. If you use @ai-sdk/valibot in your project for tool call parameter validation or structured output parsing, behavior is expected to remain consistent after upgrading.

You may not have noticed, but the AI SDK ecosystem updates frequently, and keeping adapter package versions in sync with core packages helps avoid dependency conflicts. It is recommended to run your existing test suite after upgrading to confirm validation logic works correctly.

Ecosystem Context: AI SDK and Valibot Together

@ai-sdk/valibot is one of the official schema adapters provided by AI SDK, allowing developers to define tool parameters and output structures with Valibot and integrate with AI SDK's type inference and runtime validation. Valibot is known for being lightweight and tree-shakable, making it suitable for frontend or edge runtime scenarios sensitive to bundle size.

This release itself contains limited information, but it reflects an ongoing maintenance signal: the AI SDK team continues to maintain peripheral adapter packages in sync while advancing core capabilities.

Valibot is a schema validation library written in TypeScript, positioned similarly to Zod but with a modular functional API. Each validator is an independent function, and bundlers can tree-shake on demand, reducing the base footprint to under 1KB. It supports synchronous and asynchronous validation, transforms, pipe composition, and automatic TypeScript type inference from schemas. AI SDK's schema adapter mechanism converts schema objects from different validation libraries into AI SDK's unified internal JSON Schema representation, used to declare tool parameters and structured output formats to models, while performing validation at runtime with the original library. @ai-sdk/valibot is the package that handles this conversion and validation bridging, so it must align with @ai-sdk/provider-utils (which provides shared schema conversion and utility functions) in version to avoid type mismatches or validation behavior differences.

Upgrade Recommendations

• Run npm update @ai-sdk/valibot or manually set the version to 3.0.64.
• Confirm that @ai-sdk/provider-utils is updated to 5.0.64 in sync.
• Run type checks and unit tests, focusing on tool definitions that depend on valibot schemas.
• If using a monorepo or lockfile, clear the cache and reinstall.

Summary

@ai-sdk/valibot@3.0.64 is a routine patch release, with dependency synchronization at its core. For most projects, the upgrade cost is low, and it is recommended to follow along to maintain ecosystem version consistency. What's worth watching going forward is feature enhancements to the Valibot adapter in AI SDK, rather than maintenance updates like this one.