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figueroaignacio
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ai-sdk

Answer questions about AI SDK functions like generateText and streamText.

4|Updated Apr 12, 2024
Search Tags:#typescript#react#tooling#agents#tool-calling#ai-sdk#usechat
One-click install
npx skills add https://github.com/figueroaignacio/ui --skill ai-sdk-figueroaignacio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/figueroaignacio/ui/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/figueroaignacio/ui --skill ai-sdk-figueroaignacio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This guide helps developers quickly understand and use the AI SDK, answering questions about APIs, patterns, and best practices to accelerate AI feature development.

Core Features & Use Cases

  • Answer questions about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools.
  • Assist in building AI agents, chatbots, RAG systems, or text generation features.
  • Provide guidance on providers, streaming, tool calling, structured output, and embeddings.
  • Use of React hooks like useChat or useCompletion.

Quick Start

Explain how to integrate the AI SDK into a React app using useChat and ToolLoopAgent to build an AI-powered feature.

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 React chatbot using the AI SDK and useChat hook?▼

To build a chatbot with the AI SDK, use the useChat hook in your React frontend alongside streamText on the backend to handle real-time streaming responses and tool-calling capabilities.

What is the best way to implement tool-calling in TypeScript AI agents?▼

Implement tool-calling in TypeScript agents using the AI SDK's ToolLoopAgent and tools configuration, enabling autonomous function execution, multi-step reasoning, and structured output generation.

Can I use the AI SDK to generate structured output and embeddings for RAG systems?▼

Yes, the AI SDK supports building RAG systems by using the embed function to generate vector embeddings and configuring structured output to retrieve and format context for language models.

Does the AI SDK support streaming text generation with multiple providers?▼

Yes, the AI SDK supports streaming text generation via streamText across multiple provider services, defaulting to the Vercel AI Gateway to manage routing and ensure current API compatibility.

Why do I need the Vercel AI Gateway when building AI features with the AI SDK?▼

The Vercel AI Gateway is required by default to route requests, stay current with provider services, and manage compatibility when switching between different language model providers in the AI SDK.

When should I use generateText instead of streamText for AI text generation?▼

Use generateText when your application requires the complete response at once, and use streamText for real-time streaming output. Both support tool-calling and structured output depending on latency requirements.

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