Platform WatchJune 24, 2026via Vercel Blog
AI SDK 7 is now available
Why it matters
Vercel's AI SDK 7 moves agent development from experimentation to production infrastructure. The release adds durable execution, reasoning control, tool approvals, sandbox support, and observability—the primitives teams need to ship agents that survive restarts, scale across text/audio/video, and integrate with existing coding agents (Claude Code, Codex, Pi).
Key signals
- Durable execution with state persistence across deploys and interruptions
- Provider-agnostic reasoning control across OpenAI, Anthropic, Google, Groq, xAI, Bedrock, Fireworks, DeepSeek
- Tool approval policies at call and agent levels with HMAC signing for tamper-proof resumption
- Harness layer to wrap Claude Code, Codex, Pi behind unified agent interface
- Realtime voice (experimental) and video generation (experimental) support
- OpenTelemetry package (@ai-sdk/otel) with Node.js tracing channel integration
- Terminal UI (@ai-sdk/tui) for interactive agent testing before production
- Node.js 22+ requirement; ESM imports only (CommonJS deprecated)
- MCP protocol version 2025-11-25 with app-specific rendering and sandboxed iframe support
- First-class timeout budgets (total, per-step, per-chunk, per-tool)
The hook
AI SDK 7 just shipped. Agents now run durable, observable, and production-ready—without the demo-to-deploy chasm.
AI SDK 7 is a major release for building production agents in TypeScript. The SDK has grown from model calls and chat primitives into a broader agent platform for developing, running, integrating, and observing agents across text, audio, realtime, image, and video. Every major provider is supported out of the box.
AI SDK 7 introduces two breaking requirements:
Run the v7 codemods to automate the majority of import and rename changes before reviewing semantic migration items manually. See the .full v7 migration guide
AI SDK 7 adds the primitives agents need once they leave local demos.
AI SDK 7 introduces a harness layer for bringing established coding agents into the AI SDK ecosystem. Wrap harnesses such as Claude Code, Codex, and Pi behind the same agent interface used by the rest of the SDK.
AI SDK 7 expands the SDK across realtime, video, speech, transcription, images, files, embeddings, and structured output.
The UI and streaming work in v7 focuses on making agent streams correct, composable, and reliable.
The MCP package grows from a tool transport layer into a richer integration surface for agent tools and app UIs.
Send this prompt to your AI coding agent to get started:
The following highlights cover the most impactful promotions:
The following highlights cover the most impactful renames:
The following highlights cover the most impactful deprecations:
Follow these steps to migrate an existing project to AI SDK 7:
For a guided migration, install the AI SDK v7 migration skill and ask your agent to apply it to your app:
At a Glance
Before You Upgrade
Develop Agents
Run Agents in Production
Integrate Agent Harnesses
Observe Agents
Build Beyond Text
UI, Streams, and Message Handling
Configure MCP
Configure Runtime and Packaging
Upgrade Path
with reasoning control, tool and runtime context, provider files and skills support, MCP Apps, and a terminal UI.Develop agents
with tool approvals, durable execution, first-class timeouts, and sandbox support.Run agentsW...