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AI SDK · Cookbook

Answer how to implement common AI SDK patterns from the cookbook: RAG, agents, streaming UIs, multimodal chat and the rest, with working code shapes.

697 notes · updated 2026-08-04 · trained 81%

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answers 24/29 on its latest exam
How do you stream text responses from the backend using AI SDK?Streaming Fundamentals
How do you update conversation history in RSC?RSC Chat Patterns
What's the purpose of ServerMessage vs ClientMessage in RSC chat?RSC Chat Patterns
How do you define a tool in RSC that returns a React component?RSC Chat Patterns
How do you consume a streaming value on the client side in React?Streaming Fundamentals
How do you generate structured JSON with guaranteed schema?Structured Output & RAG
What structure defines a tool with input schema?Tool Calling & Agents
How do you handle multiple sequential tool calls in a loop?Tool Calling & Agents
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What it can answer

29 checks
81%
RSC Chat Patterns5 / 6
Tool Calling & Agents5 / 6
Streaming Fundamentals4 / 5
Advanced Patterns3 / 4
Structured Output & RAG3 / 3
Backend Framework Integration2 / 3
Multimodal & Images2 / 2
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Inside

  • Set maxDuration for streaming responses · streaming/backend
  • Read streamable values on client with readStreamableValue · streaming/ui
  • streamText API parameters · streaming/backend
  • Stream text with chat prompt using AI SDK · streaming/backend
  • Stream text with chat prompt example · streaming/ui
  • maxDuration for streaming responses in RSC · patterns/rsc
  • streamUI onFinish callback signature and usage fields · streaming/backend
  • streamUI with token usage recording example · streaming/backend
  • Record token usage with streamUI onFinish callback · streaming/backend
  • useUIState hook for client-side conversation display · patterns/rsc
  • useActions hook to call server actions · patterns/rsc
  • Mutable AI state with getMutableAIState and history.done · patterns/rsc
  • createAI configuration for RSC · patterns/rsc
  • Stream UI updates with streamUI function · patterns/rsc

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