vercel-ai-sdk

Develop AI applications with streaming responses and structured outputs using the Vercel AI SDK.

4|Updated Jan 15, 2026

Search Tags:#react #ai #llm #sdk #streaming #vercel #chat

Ready to run

npx skills add https://github.com/mgd34msu/goodvibes-gemini --skill vercel-ai-sdk-mgd34msu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: vercel-ai-sdk
Source: https://github.com/mgd34msu/goodvibes-gemini/tree/main/skills/vercel-ai-sdk
Command: npx skills add https://github.com/mgd34msu/goodvibes-gemini --skill vercel-ai-sdk-mgd34msu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ai, @ai-sdk/openai, @ai-sdk/anthropic, @ai-sdk/google, and includes references (resource) components.

What problem does it solve?

This Skill simplifies the integration of advanced AI models and features into web applications, enabling developers to build sophisticated AI-powered experiences without complex backend setups.

Core Features & Use Cases

AI-Powered Streaming: Implement real-time streaming of AI responses for dynamic chat interfaces and content generation.
Model Integration: Seamlessly connect with various AI model providers like OpenAI, Anthropic, and Google.
Structured Output: Generate AI responses in predefined schemas using Zod for type-safe data.
Use Case: Build a customer support chatbot that streams responses in real-time, or an AI writing assistant that generates content with structured JSON output for specific data fields.

Quick Start

Install the necessary packages by running npm install ai @ai-sdk/openai in your project directory.

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 React chat interface with streaming AI responses?▼

To build a React chat interface with streaming AI responses, you use the Vercel AI SDK to facilitate real-time streaming data from providers like OpenAI and Anthropic directly to your frontend components.

What's the best way to integrate multiple LLM providers like OpenAI and Anthropic in a web app?▼

The best way to integrate multiple LLM providers is using a unified SDK that connects with OpenAI, Anthropic, and Google, allowing you to manage different model integrations seamlessly within your application architecture.

Can I generate structured JSON output from an LLM using Zod schemas?▼

Yes, you can generate structured output from an LLM using Zod schemas to define type-safe data formats. This ensures the AI responses conform to predefined schemas for specific data fields.

Does the Vercel AI SDK support function calling and tool usage?▼

Yes, the Vercel AI SDK supports tool usage for function calling. This allows your AI-powered applications to execute specific functions based on the model's output and interact with external systems.

Do I need to install separate packages for each AI model provider?▼

Yes, you need specific packages for each provider, such as @ai-sdk/openai or @ai-sdk/anthropic. You install these alongside the core ai package to connect with the respective model providers.