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

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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.

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New~2.1k
v1.0Saved Jun 22, 2026

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.

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Overall Score

87/100

Grade

A

Excellent

Safety

92

Quality

85

Clarity

88

Completeness

82

Summary

This skill guides developers through migrating applications from Vercel AI SDK 6.x to 7.0, with a structured checklist covering package upgrades, runtime updates (Node.js >=22, ESM-only), API renames, lifecycle callback changes, streaming refactors, and telemetry reorganization. It references the official migration guide as source of truth and provides specific code patterns for common upgrades.

Detected Capabilities

file readproject code search and inspectioncode pattern recognitionpackage.json inspectiontypecheck executiontest executionAPI reference lookup

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

ai sdk migrationv6 to v7 upgradefix migration errorsai sdk breaking changesmigrate system instructionsupdate ai package

Risk Signals

INFO

Reference to external Apache license URL (www.apache.org)

LICENSE file

Referenced Domains

External domains referenced in skill content, detected by static analysis.

www.apache.org

Use Cases

  • Upgrade Vercel AI SDK from v6 to v7 in active projects
  • Fix breaking changes after updating AI SDK to v7
  • Migrate system prompts to instructions API
  • Refactor streaming results to use new helpers
  • Update telemetry configuration for OpenTelemetry integration
  • Convert tool execution callbacks to v7 pattern
  • Migrate message content types to file-based schema

Quality Notes

  • Clear, well-structured migration checklist with explicit ordering (backup → inspect → upgrade → update runtime → search patterns)
  • Strong reliance on official source of truth (`content/docs/08-migration-guides/23-migration-guide-7-0.mdx`) reduces maintenance burden
  • Comprehensive coverage of major API changes: renames, lifecycle callbacks, streaming refactors, telemetry, content types
  • Good guidance on behavior-preserving vs. semantic-breaking changes (e.g., all-steps vs. final-step behavior)
  • Practical validation steps (typecheck, targeted tests, smoke tests) help prevent incomplete migrations
  • Context-aware guidance for edge cases (e.g., `allowSystemInMessages: true` for trusted persisted messages, per-tool `contextSchema`)
  • Well-organized by functional area (core API, prompts, lifecycle, usage/telemetry, streaming, tools, content, multi-step, helpers, package-specific)
  • Strong coverage of commonly-missed patterns (e.g., `step.response.messages` no longer accumulated, usage token field renames)
  • Package-specific sections (Vue, Anthropic, Google) help catch framework-level gotchas
Model: claude-haiku-4-5-20251001Analyzed: Jun 22, 2026

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