vercel · Vercel AI SDK Docs

AI SDK Foundations: Streaming

Explains how to implement and manage streaming responses in AI applications to provide real-time UI updates as tokens are generated.

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Viewing SKILL.md

Explains how to implement and manage streaming responses in AI applications to provide real-time UI updates as tokens are generated.

Use when you need to implement real-time text generation in a user interface to reduce perceived latency during LLM responses.

File	Contains	Use For
`SKILL.md`	Entry point: scope, routing table, and workflow.	Start here.
`docs/ai-sdk-foundations-streaming-workflow-guide.md`	A guide explaining the benefits and drawbacks of streaming versus blocking user interfaces in conversational AI applications.	Questions about a guide explaining the benefits and drawbacks of streaming versus blocking user interfaces in conversational AI appli...
`examples/ai-sdk-foundations-streaming-ai-sdk-streamtext-nodejs.text`	A Node.js code example demonstrating how to use the streamText function from the AI SDK to iterate over a text stream.	Exact payloads, commands, or snippets shown in A Node.js code example demonstrating how to use the streamText function from the AI SDK to iterate over a text stream.

Streaming conversational text UIs (like ChatGPT) have gained massive popularity over the past few months. This section explores the benefits and drawbacks of...
Main sections: Real-world Examples, Blocking UI, Streaming UI.

Open the most relevant file under docs/ for the exact documented workflow and wording.
Open schemas/ files for exact structured contracts.
Open examples/ files for concrete requests, commands, snippets, and manifests.
Do not add behavior or configuration that is not present in the attached source files.