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ai-sdk

Provide AI SDK guidance for text generation, streaming, agents, and embeddings.

21|16|Updated Jul 12, 2023
Search Tags:#developer tools#ai agents#ai sdk#generative ai#chatbot development#rag systems
One-click install
npx skills add https://github.com/guillermoscript/lms-front --skill ai-sdk-guillermoscript
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/guillermoscript/lms-front/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/guillermoscript/lms-front --skill ai-sdk-guillermoscript

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers build AI-powered features by providing guidance on using the AI SDK, including functions, agents, and provider integrations.

Core Features & Use Cases

  • AI SDK Guidance: Answers questions about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, and tools.
  • AI Feature Development: Assists in building AI agents, chatbots, RAG systems, and text generation features.
  • Provider & Integration Help: Provides information on AI providers (OpenAI, Anthropic, Google), streaming, tool calling, structured output, and embeddings.
  • React Hooks: Offers support for React hooks like useChat and useCompletion.

Quick Start

Use the ai-sdk skill to find documentation on how to use the useChat hook with a custom API endpoint.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I use the AI SDK to build an AI chatbot with React hooks?▼

To build an AI chatbot with the AI SDK, use React hooks like `useChat` and `useCompletion` to manage conversational state and stream responses from custom API endpoints directly within your application components.

What is the best way to structure AI agent creation in generative AI applications?▼

AI agent creation in generative AI applications is best structured using AI SDK functions like `generateText` and `ToolLoopAgent`, which enable dynamic text generation, tool calling, and multi-step reasoning across various AI providers.

Can I use the AI SDK for structured output and tool calling across different providers?▼

Yes, the AI SDK supports structured output and tool calling across multiple AI providers, allowing you to integrate OpenAI, Anthropic, and Google models seamlessly while maintaining consistent API interactions.

How do I implement RAG systems using AI SDK embedding functions?▼

You can implement RAG systems using the AI SDK by applying the `embed` function to generate vector representations of your text data, enabling retrieval augmented generation for AI-driven features.

Does the AI SDK support streaming text generation for real-time chatbot development?▼

Yes, the AI SDK supports streaming text generation through the `streamText` function, allowing developers to build real-time chatbot interfaces that display AI responses progressively as they are generated.

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