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AI SDK

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Build AI-powered features with ease.

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Free · Opens the source repo

What AI SDK does

The AI SDK skill is designed to assist developers in integrating AI functionalities into their applications. It provides guidance on using various features of the SDK, including generating text, streaming data, and implementing agents. This skill is particularly useful for those looking to build chatbots, retrieval-augmented generation (RAG) systems, or any application that requires text generation capabilities. With the AI SDK, you can leverage advanced AI models from providers like OpenAI and Anthropic, ensuring your application is powered by the latest technology.

One of the key aspects of using the AI SDK is understanding the current APIs and best practices. The skill emphasizes the importance of verifying information against the latest documentation and source code, as relying on outdated knowledge can lead to errors. Developers are guided to check their local installation of the SDK and to utilize the Vercel AI Gateway for optimal model selection. This ensures that you are always working with the most up-to-date tools and methods available.

Additionally, the skill provides resources for troubleshooting common issues, such as type-checking errors and deprecated API usage. By following the provided references and guidelines, developers can effectively create and consume AI agents while maintaining type safety and adhering to best practices in their code. This focus on accuracy and reliability makes the AI SDK skill an invaluable resource for anyone looking to harness the power of AI in their applications.

Whether you are a seasoned developer or just starting with AI technologies, this skill will enhance your ability to implement AI features confidently and efficiently, making it a worthwhile addition to your toolkit.

When to use it

Use this skill when you need to implement AI functionalities like chatbots, text generation, or agent systems in your applications.

When not to use it

This skill may not be suitable for projects that do not involve AI integration or for developers who prefer to work with other SDKs or frameworks.

What you can build with it

Integrating Chatbots

Utilize the AI SDK to build responsive chatbots that can engage users effectively with generated text.

Creating RAG Systems

Implement retrieval-augmented generation systems that combine AI with external data sources for enhanced responses.

Using React Hooks

Leverage React hooks like useChat to manage AI interactions seamlessly within your React applications.

How to install AI SDK

View source

1. Install with the skills CLI

npx skills add vercel-labs/open-agents/ai-sdk --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by vercel-labs

Prerequisites

Before searching docs, check if node_modules/ai/docs/ exists. If not, install only the ai package using the project's package manager (e.g., pnpm add ai).

Do not install other packages at this stage. Provider packages (e.g., @ai-sdk/openai) and client packages (e.g., @ai-sdk/react) should be installed later when needed based on user requirements.

Critical: Do Not Trust Internal Knowledge

Everything you know about the AI SDK is outdated or wrong. Your training data contains obsolete APIs, deprecated patterns, and incorrect usage.

When working with the AI SDK:

  1. Ensure ai package is installed (see Prerequisites)
  2. Search node_modules/ai/docs/ and node_modules/ai/src/ for current APIs
  3. If not found locally, search ai-sdk.dev documentation (instructions below)
  4. Never rely on memory - always verify against source code or docs
  5. useChat has changed significantly - check Common Errors before writing client code
  6. When deciding which model and provider to use (e.g. OpenAI, Anthropic, Gemini), use the Vercel AI Gateway provider unless the user specifies otherwise. See AI Gateway Reference for usage details.
  7. Always fetch current model IDs - Never use model IDs from memory. Before writing code that uses a model, run curl -s https://ai-gateway.vercel.sh/v1/models | jq -r '[.data[] | select(.id | startswith("provider/")) | .id] | reverse | .[]' (replacing provider with the relevant provider like anthropic, openai, or google) to get the full list with newest models first. Use the model with the highest version number (e.g., claude-sonnet-4-5 over claude-sonnet-4 over claude-3-5-sonnet).
  8. Run typecheck after changes to ensure code is correct
  9. Be minimal - Only specify options that differ from defaults. When unsure of defaults, check docs or source rather than guessing or over-specifying.

If you cannot find documentation to support your answer, state that explicitly.

Finding Documentation

ai@6.0.34+

Search bundled docs and source in node_modules/ai/:

  • Docs: grep "query" node_modules/ai/docs/
  • Source: grep "query" node_modules/ai/src/

Provider packages include docs at node_modules/@ai-sdk/<provider>/docs/.

Earlier versions

  1. Search: https://ai-sdk.dev/api/search-docs?q=your_query
  2. Fetch .md URLs from results (e.g., https://ai-sdk.dev/docs/agents/building-agents.md)

When Typecheck Fails

Before searching source code, grep Common Errors for the failing property or function name. Many type errors are caused by deprecated APIs documented there.

If not found in common-errors.md:

  1. Search node_modules/ai/src/ and node_modules/ai/docs/
  2. Search ai-sdk.dev (for earlier versions or if not found locally)

Building and Consuming Agents

Creating Agents

Always use the ToolLoopAgent pattern. Search node_modules/ai/docs/ for current agent creation APIs.

File conventions: See type-safe-agents.md for where to save agents and tools.

Type Safety: When consuming agents with useChat, always use InferAgentUIMessage<typeof agent> for type-safe tool results. See reference.

Consuming Agents (Framework-Specific)

Before implementing agent consumption:

  1. Check package.json to detect the project's framework/stack
  2. Search documentation for the framework's quickstart guide
  3. Follow the framework-specific patterns for streaming, API routes, and client integration

References

Frequently asked questions about AI SDK

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