ai-sdk

Develop AI features in TypeScript using the Vercel AI SDK.

Updated Jul 28, 2026

Search Tags:#typescript #agents #vercel #generative-ai #tool-calling #ai-sdk

Ready to run

npx skills add https://github.com/tuliof/dindin --skill ai-sdk-tuliof

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/tuliof/dindin/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/tuliof/dindin --skill ai-sdk-tuliof

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the complexity of integrating AI models into TypeScript applications by providing a unified, type-safe interface for text generation, tool calling, and agentic workflows.

Core Features & Use Cases

Unified AI API: Interact with OpenAI, Anthropic, Google, and other providers through a single, consistent interface.
Agentic Workflows: Build sophisticated AI agents using built-in abstractions like ToolLoopAgent.
Use Case: Developers can use this skill to quickly implement a chat interface with streaming responses or build a RAG system that retrieves context from local documents.

Quick Start

Ask the ai-sdk skill to help you implement a streaming chat endpoint using the latest version of the Vercel AI SDK.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema

How do I build AI agents with TypeScript using the Vercel AI SDK?▼

Build AI agents with TypeScript by leveraging built-in abstractions like ToolLoopAgent within the Vercel AI SDK to orchestrate tool calling and agentic workflows. This provides a unified, type-safe interface for complex agent operations.

What is the best way to integrate multiple AI model providers in a TypeScript app?▼

Integrate multiple AI model providers by using the Vercel AI SDK's unified API to interact with OpenAI, Anthropic, and Google through a single consistent interface. This approach resolves integration complexity and ensures type safety.

How do I implement a streaming chat endpoint with the Vercel AI SDK?▼

Implement a streaming chat endpoint by utilizing the Vercel AI SDK's current patterns for text generation in TypeScript applications. The SDK provides the necessary abstractions to quickly enable streaming responses for chat interfaces.

Can I use the Vercel AI SDK to generate structured output from AI models?▼

Generate structured output from AI models using the Vercel AI SDK's TypeScript interface for text generation. The SDK ensures type safety and framework integration, allowing reliable structured data extraction from supported providers.

Does the Vercel AI SDK support tool calling across different model providers?▼

The Vercel AI SDK supports tool calling across multiple model providers like OpenAI, Anthropic, and Google. It provides a unified, type-safe interface to execute tool calls and orchestrate agentic workflows consistently.

Why does my TypeScript AI integration lack type safety with multiple providers?▼

TypeScript AI integrations often lack type safety when managing multiple providers manually. The Vercel AI SDK solves this by providing a unified, type-safe interface for text generation and tool calling across all supported providers.