How does it handle complex UI interactions?

It provides typed tool parts and patterns for human-in-the-loop confirmations, allowing for sophisticated Generative UI that requires user approval before execution.

Does this skill support Vercel AI SDK v6?

No, this skill is specifically optimized for the patterns and API structures of Vercel AI SDK v5 and is not compatible with v6.

Does it include support for Anthropic's Reasoning models?

Yes, it includes specific configurations for the Anthropic provider to leverage extended thinking and reasoning capabilities within the AI SDK.

What is the recommended file structure?

It promotes a feature-based architecture, organizing agents, data actions, and components into dedicated 'features/agents' directories for better scalability.

What database stack is required for persistence?

The patterns provided assume the use of PostgreSQL as the database and Drizzle ORM for schema management and queries.

Vercel AI SDK v5 Chat Patterns

Name: Vercel AI SDK v5 Chat Patterns
Author: horuz-ai

byhoruz-ai

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Desarrollo de API

Implements production-ready AI chatbot architectures using Vercel AI SDK v5, Drizzle ORM, and Anthropic's reasoning models.

Acerca de

This skill provides advanced implementation patterns for developers building complex AI chat interfaces with Next.js and Vercel AI SDK v5. It goes beyond basic tutorials to offer expert guidance on persistent message storage using Drizzle and PostgreSQL, type-safe generative UI components, human-in-the-loop tool confirmations, and robust streaming reconciliation. By enforcing specific naming conventions and feature-based folder structures, it ensures scalable, maintainable chatbot codebases optimized for production environments.

Características Principales

Database persistence integration with Drizzle and PostgreSQL
Anthropic provider configuration for extended thinking and reasoning capabilities
Standardized feature-based architecture for AI-driven Next.js applications
Advanced streaming management including reconciliation and disconnect handling
Type-safe Generative UI implementation with custom tool parts
1 GitHub stars

Casos de Uso

Building persistent, production-grade chatbots with message history
Optimizing AI stream performance and reliability in Next.js applications
Creating interactive Generative UI components with tool-call confirmations

Acerca de

Características Principales

Database persistence integration with Drizzle and PostgreSQL
Anthropic provider configuration for extended thinking and reasoning capabilities
Standardized feature-based architecture for AI-driven Next.js applications
Advanced streaming management including reconciliation and disconnect handling
Type-safe Generative UI implementation with custom tool parts
1 GitHub stars

Casos de Uso

Building persistent, production-grade chatbots with message history
Optimizing AI stream performance and reliability in Next.js applications
Creating interactive Generative UI components with tool-call confirmations