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ai-sdk

Guide developers on AI SDK APIs and building AI-powered features.

1|2|Updated Jan 24, 2026
Search Tags:#agents#ai-sdk#model-selection#gateway#tool-loop#usechat
One-click install
npx skills add https://github.com/Nexprove-Team/hykehyre --skill ai-sdk-nexprove-team
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/Nexprove-Team/hykehyre/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/Nexprove-Team/hykehyre --skill ai-sdk-nexprove-team

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides guidance on how to use the AI SDK to answer questions, build AI-powered features, and navigate tool usage, agents, and providers.

Core Features & Use Cases

  • Clarifies API usage for functions like generateText, streamText, ToolLoopAgent, embed, and tools.
  • Assists in designing AI agents, chatbots, RAG systems, and structured output workflows.
  • Offers up-to-date best practices for using the AI Gateway and model selection.

Quick Start

Describe how to create a simple ToolLoopAgent with a weather tool.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I build an AI agent using the AI SDK?▼

You can build an AI agent using the AI SDK by implementing the ToolLoopAgent function, which manages iterative tool calling and allows the model to execute tools and process outputs in a loop until the task is complete.

What is the difference between generateText and streamText in the AI SDK?▼

The difference is that generateText returns the complete text response at once, whereas streamText yields text chunks incrementally. streamText is essential for real-time chat interfaces using useChat to display responses as they generate.

How do I implement structured output with the AI SDK?▼

Structured output is implemented in the AI SDK by defining typed tools and schemas, enforcing the model to return data conforming to your specific formats. This enables safe, typed tool usage for reliable application integration.

How does the AI Gateway handle model selection?▼

The AI Gateway manages model selection by routing requests to configured providers, enforcing up-to-date best practices. This ensures developers select the optimal model for their specific AI-powered features and workflows.

Can I use the AI SDK to build a RAG system?▼

Yes, you can build a RAG system using the AI SDK. It provides the embed function for generating vector embeddings and specific patterns to combine retrieval with generateText or streamText for synthesizing answers.

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