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Migrate Ai Sdk V6 To V7

OrganizationPopular
vercel
migrate-ai-sdk-v6-to-v7

Migrate applications from AI SDK 6.x to AI SDK 7.0. Use when upgrading Vercel AI SDK packages, fixing v7 migration errors, or when the user mentions AI SDK v6, v7, upgrade, migration, breaking changes, system to instructions, fullStream, telemetry, tool context, or finalStep.

Overview

Publishervercel
Repositoryai
Skill namemigrate-ai-sdk-v6-to-v7
Stars
27.1K
Forks
5.2K
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vercel on GitHub. Read the source before you install it.

Installation

Install the Migrate Ai Sdk V6 To V7 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/vercel/ai/tree/main/skills/migrate-ai-sdk-v6-to-v7
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vercel/ai.git /tmp/ai
mkdir -p .claude/skills
cp -r /tmp/ai/skills/migrate-ai-sdk-v6-to-v7 .claude/skills/migrate-ai-sdk-v6-to-v7
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Migrate Ai Sdk V6 To V7 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Migrate Ai Sdk V6 To V7 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Migrate Ai Sdk V6 To V7 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AI SDK 6 to 7 Migration

Use content/docs/08-migration-guides/23-migration-guide-7-0.mdx from the AI SDK repo as the source of truth. This skill is the working checklist; read the guide for exact examples or when behavior is unclear.

Migration Workflow

  1. Ensure the user has a clean backup or committed baseline before editing.
  2. Inspect package.json and lockfiles to identify installed ai, @ai-sdk/*, provider, UI, MCP, and telemetry packages.
  3. Upgrade AI SDK packages to latest versions, and add @ai-sdk/otel only if the project uses OpenTelemetry spans.
  4. Update runtime and module assumptions: Node.js must be >=22, and AI SDK packages are ESM-only. Replace require() imports with ESM imports and add "type": "module" or use .mjs where needed.
  5. Search for the v6 patterns below, migrate only the code that exists, then run typecheck and targeted tests.

Prefer behavior-preserving changes. When v7 changes semantics, decide whether the app wants the new all-steps behavior or the previous final-step-only behavior.

Core API Changes

  • experimental_customProvider -> customProvider.
  • experimental_generateImage -> generateImage; Experimental_GenerateImageResult -> GenerateImageResult.
  • experimental_transcribe -> transcribe; Experimental_TranscriptionResult -> TranscriptionResult.
  • experimental_generateSpeech -> generateSpeech; Experimental_SpeechResult -> SpeechResult.
  • experimental_output option/result -> output option/result.
  • CallSettings -> LanguageModelCallOptions & Omit<RequestOptions, 'timeout'>; prepareCallSettings -> prepareLanguageModelCallOptions.
  • stepCountIs -> isStepCount.

Prompts and Steps

  • Rename top-level system to instructions for generateText, streamText, generateObject, streamObject, and streamUI.
  • Move { role: 'system' } messages from prompt or messages into top-level instructions. Only use allowSystemInMessages: true for trusted persisted messages.
  • Rename experimental_prepareStep to prepareStep.
  • In prepareStep, rename returned system to instructions.
  • In experimental_repairToolCall, use { instructions } instead of { system }.
  • Audit prepareStep behavior: returned instructions and messages now carry forward into later steps. If code depended on one-step-only overrides, rebuild from initialInstructions, initialMessages, and responseMessages explicitly.

Lifecycle Callbacks

  • experimental_onStart -> onStart.
  • experimental_onStepStart -> onStepStart.
  • onFinish -> onEnd.
  • onStepFinish -> onStepEnd.
  • For embed, embedMany, and rerank, experimental_onFinish -> onEnd.
  • Callback event fields use instructions instead of system.

Usage, Telemetry, and Include Options

  • usage.cachedInputTokens -> usage.inputTokenDetails.cacheReadTokens.
  • usage.reasoningTokens -> usage.outputTokenDetails.reasoningTokens.
  • OpenTelemetry moved out of ai; install @ai-sdk/otel and call registerTelemetry(new OpenTelemetry(...)) at app startup.
  • Telemetry is enabled by default once an integration is registered. Remove redundant isEnabled: true; use isEnabled: false to opt out per call.
  • Move experimental_telemetry.tracer into the OpenTelemetry constructor.
  • experimental_telemetry -> telemetry.
  • Telemetry integration callbacks: onRerankFinish -> onRerankEnd, onEmbedFinish -> onEmbedEnd. Update tracing-channel subscribers for the same event type names.
  • experimental_include -> include.
  • includeRawChunks -> include.rawChunks.
  • Request and response bodies are excluded by default. If code reads request.body or response.body, opt in with include.requestBody and, for generateText, include.responseBody.

Streaming, Messages, and Tools

  • StreamTextResult.fullStream -> stream.
  • streamText onChunk now receives all stream parts, including lifecycle, boundary, finish, abort, and error parts. Guard by chunk.type before assuming text/tool/raw content.
  • step.response.messages is no longer accumulated across previous steps. Use result.responseMessages for the full response message history, or flatten result.steps.
  • Tool execution callbacks: experimental_onToolCallStart -> onToolExecutionStart, experimental_onToolCallFinish -> onToolExecutionEnd.
  • Tool callback experimental_context -> context.
  • Split shared runtime data from tool-specific data: use top-level runtimeContext for orchestration state, declare per-tool contextSchema, and pass per-tool values through toolsContext.
  • Move needsApproval from tool() / dynamicTool() into per-call or agent toolApproval.
  • experimental_activeTools -> activeTools.
  • ToolCallOptions -> ToolExecutionOptions.
  • isToolOrDynamicToolUIPart -> isToolUIPart.

Content Parts and Reasoning

  • Tool result { type: 'media' } is removed; use { type: 'file-data' }.
  • Migrate toModelOutput image-*, file-*, file-id, and image-file-id variants to canonical { type: 'file', mediaType, data: { type: 'data' | 'url' | 'reference', ... } }.
  • User message { type: 'image', image, mediaType? } is deprecated; use { type: 'file', mediaType: 'image' | 'image/*', data }.
  • Add support for the new reasoning-file content type in exhaustive switches, renderers, serializers, and validators.
  • When adopting top-level reasoning, remove overlapping provider-specific reasoning settings from providerOptions unless provider-specific settings intentionally take precedence.

Multi-Step Result Shape

  • result.usage now includes all steps; result.totalUsage is deprecated. Use result.finalStep.usage for final-step-only usage.
  • Top-level content, toolCalls, staticToolCalls, dynamicToolCalls, toolResults, staticToolResults, dynamicToolResults, files, sources, and warnings now include all steps. Use finalStep for previous final-step-only behavior.
  • Top-level reasoning, reasoningText, request, response, and providerMetadata are deprecated for final-step data. Use result.finalStep.*; for streamText, await result.finalStep.
  • Apply the same result-shape rules to onEnd events.

Stream Response Helpers

The streamText result helper methods are deprecated. Replace result methods with top-level stateless helpers:

  • result.toUIMessageStream(...) -> toUIMessageStream({ stream: result.stream, ... }).
  • result.toUIMessageStreamResponse(...) -> toUIMessageStream(...) plus createUIMessageStreamResponse({ stream }).
  • result.pipeUIMessageStreamToResponse(response, ...) -> toUIMessageStream(...) plus pipeUIMessageStreamToResponse({ response, stream }).
  • result.toTextStreamResponse() -> toTextStream({ stream: result.stream }) plus createTextStreamResponse({ stream }).
  • result.pipeTextStreamToResponse(response) -> toTextStream({ stream: result.stream }) plus pipeTextStreamToResponse({ response, stream }).

Package-Specific Checks

  • MCP: MCPTransportConfig.redirect now defaults to 'error'. Only set redirect: 'follow' for trusted MCP servers that rely on redirects.
  • Vue: @ai-sdk/vue Chat class is deprecated. Prefer useChat, including getter/ref init for reactive chat inputs.
  • Anthropic and @ai-sdk/google-vertex/anthropic: providerMetadata.anthropic.cacheCreationInputTokens was removed. Use usage.inputTokenDetails.cacheWriteTokens; raw Anthropic usage remains at finalStep.providerMetadata?.anthropic?.usage.
  • Google: rename GoogleGenerativeAI* types, classes, and functions to Google*, e.g. createGoogleGenerativeAI -> createGoogle. The google entry point is unchanged.

Validation

Run the project typecheck after edits, then the smallest relevant test suite. Also smoke-test streaming, chat UI, tool execution, telemetry, and multi-step flows if the migration touched them. If type errors remain, search the migration guide for the exact removed or renamed symbol before inventing a workaround.

Frequently asked questions

What does the Migrate Ai Sdk V6 To V7 AI skill do?

Migrate applications from AI SDK 6.x to AI SDK 7.0. Use when upgrading Vercel AI SDK packages, fixing v7 migration errors, or when the user mentions AI SDK v6, v7, upgrade, migration, breaking changes, system to instructions, fullStream, telemetry, tool context, or finalStep.

Why use Migrate Ai Sdk V6 To V7 on TypingMind?

Because you install it once and use it with any model. Migrate Ai Sdk V6 To V7 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Migrate Ai Sdk V6 To V7 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel/ai/tree/main/skills/migrate-ai-sdk-v6-to-v7. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Migrate Ai Sdk V6 To V7?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Migrate Ai Sdk V6 To V7?

As many as you like. As long as a model supports skills, you can use Migrate Ai Sdk V6 To V7 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Migrate Ai Sdk V6 To V7 AI skill free?

It is published on GitHub by vercel. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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