vercel-ai-sdk

Integrate Vercel AI SDK v5 for chat interfaces, tool calling, and streaming.

109|21|Updated Oct 23, 2025

Search Tags:#embeddings #streaming #vercel #chat #tools #ai-sdk

Ready to run

npx skills add https://github.com/wsimmonds/claude-nextjs-skills --skill vercel-ai-sdk-wsimmonds

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: vercel-ai-sdk
Source: https://github.com/wsimmonds/claude-nextjs-skills/tree/main/vercel-ai-sdk
Command: npx skills add https://github.com/wsimmonds/claude-nextjs-skills --skill vercel-ai-sdk-wsimmonds

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides patterns for integrating Vercel AI SDK v5, including generateText, streamText, useChat, tool calling, embeddings, and MCP integration.

Core Features & Use Cases

Chat UIs with useChat: Build interactive AI chat interfaces with streaming.
Tool & Function Calling: Define tools with inputSchema and execute to enable tool calls.
Embeddings & RAG: Generate embeddings for semantic search.
MCP Integration: Connect to MCP servers for dynamic tool access.

Quick Start

Install the ai SDK and implement a small chat API using streamText and useChat; include a simple tool using tool().

Frequently Asked Questions about vercel-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 responses using Vercel AI SDK?▼

Streaming chat interfaces with Vercel AI SDK use useChat on the client and streamText on the server. useChat manages message state and handles streaming from your API route, which uses streamText with a model string and system prompt, then returns the streamed response via toTextStreamResponse for proper formatting.

What's the best way to implement tool calling in Vercel AI SDK v5?▼

Tool calling in v5 uses the tool() function with inputSchema and a handler function. Define tools as an array, pass them to streamText or generateText, and import tool definitions directly from the ai package. Zod schemas define inputSchema structure, and the SDK automatically handles tool invocation and result streaming.

Can I generate embeddings and build RAG systems with Vercel AI SDK?▼

Yes, Vercel AI SDK supports embeddings for semantic search and retrieval-augmented generation. Generate embeddings for your documents, store vectors, then retrieve relevant context during chat or text generation to augment model responses with external knowledge.

How do I integrate MCP servers with Vercel AI SDK for dynamic tool access?▼

MCP integration connects your Vercel AI SDK application to MCP servers, enabling dynamic tool discovery and execution. Configure the MCP connection, and tools from the server become available within chat and text generation workflows for expanded capability without hardcoding tools.

Does Vercel AI SDK v5 work with multiple AI providers and models?▼

Yes, Vercel AI SDK v5 supports multiple providers through string-based model specification. Pass provider-prefixed model strings like 'openai:gpt-4' or 'anthropic:claude-3' to streamText and generateText, allowing provider switching without code changes across chat, embeddings, and tool calling.

Why use toUIMessageStreamResponse or toTextStreamResponse for streaming responses?▼

toUIMessageStreamResponse and toTextStreamResponse format streaming data correctly for client consumption. toUIMessageStreamResponse works with useChat by streaming structured messages; toTextStreamResponse handles plain text streaming. Both ensure proper client-side stream handling and error propagation.