Question 1

How does AI SDK compare to LangChain for building AI agents?

Accepted Answer

AI SDK focuses on simplicity and integration with the Vercel stack, offering a lighter-weight alternative to LangChain's extensive framework. It's better for straightforward agent use cases in Next.js apps, while LangChain provides more tools for complex workflows and chaining.

Question 2

Can I use AI SDK with a plain React app without Next.js?

Accepted Answer

Yes, AI SDK includes React hooks that work with any React application, though features like App Router integration are Next.js-specific. You can still use the core API and streaming support in standard React projects by importing the necessary modules.

Question 3

What AI providers are supported by AI SDK?

Accepted Answer

The SDK supports major providers like OpenAI, Anthropic, and others through a unified interface. Check the official documentation for the full list, as it may expand over time with community contributions.

Question 4

Is AI SDK free to use, or are there hidden costs?

Accepted Answer

AI SDK is open-source and free, but you'll need to pay for AI model usage from providers based on API calls. The SDK itself doesn't add extra charges, but costs depend on your chosen models and usage volume.

Question 5

How do I handle errors and retries with AI SDK?

Accepted Answer

The SDK includes built-in error handling and retry logic for common failures, but for advanced scenarios, you might need to implement custom error management using provider response details and SDK configuration options.

Question 6

Does AI SDK support edge deployments with serverless functions?

Accepted Answer

Yes, it's edge runtime compatible and works seamlessly with serverless functions, making it suitable for low-latency applications deployed on platforms like Vercel Edge Functions.

Vercel AI SDK

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