Guides developers on AI SDK usage including generateText, streamText, embed, and tools.
npx skills add https://github.com/Hadimetlej/VERCEL-AI --skill ai-sdk-hadimetlej
Please help me install this Agent Skill. Skill: ai-sdk Source: https://github.com/Hadimetlej/VERCEL-AI/tree/main/skills/use-ai-sdk Command: npx skills add https://github.com/Hadimetlej/VERCEL-AI --skill ai-sdk-hadimetlej
The AI SDK guide helps developers quickly understand and apply the latest AI SDK APIs to build AI-powered features, reducing the risk of outdated knowledge and misused patterns.
Ask the AI SDK a straightforward question about usage to get immediate, practical guidance.
High-intent search queries and answers about installing and using this skill.
To build chatbots with the AI SDK, you use generateText for complete responses and streamText to stream tokens incrementally, following official documentation patterns to ensure correct provider usage and real-time text generation.
Building AI agents with the AI SDK involves leveraging the ToolLoopAgent and tools functions, which allow the model to execute external functions iteratively, enabling autonomous multi-step reasoning and dynamic interaction with external systems.
Implementing a RAG system with the AI SDK requires using the embed function to generate vector representations of your documents, which are then stored and matched against user queries to retrieve relevant context for the language model.
The AI SDK supports multiple providers through its AI Gateway, allowing you to select the correct provider and current model IDs by referencing the official model-list to ensure you stay aligned with up-to-date capabilities.
AI SDK streaming issues often stem from misused patterns or outdated knowledge; you can resolve them by consulting common-errors references and applying up-to-date guidance on streamText to ensure correct provider configuration.
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