Does this skill support the latest 2025 models?

Yes, it includes configuration patterns for GPT-5, Claude 4, and Gemini 2.5 families within the Vercel AI SDK framework.

Can it help me migrate from version 4?

Absolutely. It includes a comprehensive migration checklist to handle breaking changes in parameter naming, tool definitions, and message structures.

Is the v6 Agent abstraction covered?

Yes, it provides implementation details for the new ToolLoopAgent class and native human-in-the-loop tool approval workflows.

How does this help with Cloudflare Workers?

It provides specific lazy-initialization patterns to bypass the 400ms startup limit often exceeded by AI SDK and Zod dependencies.

What common errors can this skill help resolve?

It provides specific troubleshooting for AI_APICallError, AI_NoObjectGeneratedError, and common streaming response misconceptions like toDataStreamResponse.

Vercel AI SDK Core & v6 Migration

Name: Vercel AI SDK Core & v6 Migration
Author: jezweb

byjezweb

•

API 开发

Implements advanced AI backend logic using Vercel AI SDK versions 5 and 6, facilitating model orchestration, agentic workflows, and seamless version migrations.

关于

This skill provides comprehensive guidance for developers building sophisticated AI applications with the Vercel AI SDK. It covers the critical transition from version 4 to 5, previews the latest v6 agentic abstractions, and optimizes performance for specialized environments like Cloudflare Workers. Developers can leverage deep expertise in structured output, tool calling, human-in-the-loop patterns, and specific troubleshooting for common SDK errors, ensuring robust and scalable AI implementations across major model providers including OpenAI, Anthropic, and Google Gemini.

主要功能

Implementation of Vercel AI SDK v5 and v6 beta agent features
Optimized Cloudflare Workers integration and lazy-loading startup fixes
Agent orchestration with ToolLoopAgent and human-in-the-loop approvals
Structured data generation using Zod schemas and streaming response management
Migration path and automated fixes for v4 to v5 breaking changes
91 GitHub stars

使用场景

Upgrading legacy AI SDK v4 projects to the latest v5 and v6 standards
Resolving high-latency startup issues in serverless and edge environments
Building multi-step AI agents with complex tool-calling capabilities

关于

主要功能

Implementation of Vercel AI SDK v5 and v6 beta agent features
Optimized Cloudflare Workers integration and lazy-loading startup fixes
Agent orchestration with ToolLoopAgent and human-in-the-loop approvals
Structured data generation using Zod schemas and streaming response management
Migration path and automated fixes for v4 to v5 breaking changes
91 GitHub stars

使用场景

Upgrading legacy AI SDK v4 projects to the latest v5 and v6 standards
Resolving high-latency startup issues in serverless and edge environments
Building multi-step AI agents with complex tool-calling capabilities