ai-sdk

Explain AI SDK usage for chat, generation, tool calling, and MCP integration.

Updated May 31, 2026
One-click install
npx skills add https://github.com/ChristineTham/lp --skill ai-sdk-christinetham
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/ChristineTham/lp/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/ChristineTham/lp --skill ai-sdk-christinetham

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers often struggle to stay current with the AI SDK's APIs, patterns, and best practices for building AI-powered features across providers. This guide consolidates expert guidance for chat interfaces, text generation, structured output, tool calls, agents, streaming, embeddings, reranking, image generation, and MCP integration.

Core Features & Use Cases

  • Comprehensive guidance on usage patterns across the AI SDK, including provider routing through Vercel AI Gateway, structured output with Output.* utilities, and streaming support.
  • Migration and upgrade patterns to help teams transition from older APIs to v6 tool definitions, useChat transports, and typed tool parts.
  • Real-world examples: building chat interfaces, agent loops, RAG workflows, and embed/retrieval pipelines for multi-provider scenarios.

Quick Start

Start by reading this guide to implement AI SDK based features in your app where you need chat, generation, and tool calling capabilities.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I build a chat interface with streaming text generation using the AI SDK?

To build a chat interface with streaming, the AI SDK provides useChat transports and streaming support utilities. These allow you to incrementally stream text generation responses directly to your UI components across major providers.

How do I generate structured output from language models using the AI SDK?

You generate structured output using the AI SDK's Output.* utilities. This feature enforces specific schemas on model responses, ensuring reliable structured data for downstream application logic and typed tool parts.

How do I implement tool calling and agent loops across multiple model providers?

The AI SDK implements tool calling and agent loops by defining v6 tool definitions. It supports typed tool parts and multi-provider scenarios, enabling models to execute external functions and iterate through agent workflows.

How do I route requests and manage costs using Vercel AI Gateway?

Vercel AI Gateway provides provider routing with OIDC authentication and cost visibility. You configure gateway-based routing in the AI SDK to centralize multi-provider traffic management and monitor operational expenses.

How do I migrate to the latest AI SDK v6 tool definitions and typed tool parts?

The AI SDK offers migration and upgrade patterns to transition from older APIs to v6 tool definitions and typed tool parts. These guides help teams modernize implementations while maintaining existing useChat functionality.

How do I build RAG workflows and embed retrieval pipelines with the AI SDK?

You build RAG workflows using the AI SDK's embeddings and reranking capabilities. The SDK provides embed and retrieval pipeline patterns to ingest, vectorize, and retrieve context for multi-provider scenarios.