ai-sdk-5

Migrate to Vercel AI SDK v5 with useChat, streamText, and useCompletion patterns.

2|Updated Jun 11, 2024
One-click install
npx skills add https://github.com/gutierrezp22/administracion-departamentos --skill ai-sdk-5-gutierrezp22
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk-5
Source: https://github.com/gutierrezp22/administracion-departamentos/tree/main/.cursor/skills/ai-sdk-5
Command: npx skills add https://github.com/gutierrezp22/administracion-departamentos --skill ai-sdk-5-gutierrezp22

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the complexities and breaking changes introduced in Vercel AI SDK version 5, providing clear guidance on migrating from v4 and implementing new chat and completion features.

Core Features & Use Cases

  • Migration Guidance: Understand the key differences between AI SDK v4 and v5, particularly regarding useChat and message structures.
  • Client-Side Implementation: Set up and manage chat interfaces using useChat, including input handling, message display, and loading states.
  • Server-Side Integration: Implement route handlers for chat APIs using streamText and integrate with LangChain for advanced LLM interactions.
  • Tool Usage: Configure and stream responses with tool-calling capabilities.
  • Text Generation: Utilize useCompletion for standalone text generation tasks.
  • Error Handling: Implement robust error handling for chat operations.

Quick Start

Use the ai-sdk-5 skill to migrate your chat application from AI SDK v4 to v5 by following the provided code examples.

Frequently Asked Questions about ai-sdk-5

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I migrate my chat application from Vercel AI SDK v4 to v5?

Migrating from Vercel AI SDK v4 to v5 requires addressing breaking changes in message structures and the `useChat` hook by updating client-side setup and server-side route handlers to match new v5 patterns.

How do I use streamText for server-side chat route handlers in AI SDK 5?

Using streamText in AI SDK 5 involves implementing server-side route handlers for chat APIs to stream text responses back to the client during LLM interactions.

Does Vercel AI SDK 5 work with LangChain for advanced LLM interactions?

Vercel AI SDK 5 works with LangChain by integrating it on the server side alongside route handlers to manage complex language model workflows and tool usage.

What is the best way to handle text generation with useCompletion in AI SDK 5?

Handling text generation with useCompletion in AI SDK 5 involves utilizing the hook for standalone text generation tasks separate from full chat interfaces.

Why does my useChat implementation break after upgrading to AI SDK 5?

Your useChat implementation breaks after upgrading to AI SDK 5 due to breaking changes from v4 regarding message structures, requiring client-side setup updates to match new v5 patterns.

How do I implement error handling for chat operations in Vercel AI SDK 5?

Implementing error handling for chat operations in Vercel AI SDK 5 involves applying robust error handling strategies around client-side useChat and server-side streamText implementations to manage failures gracefully.