Tool
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AI SDK Tools (midday-ai)

Production utilities for Vercel AI SDK — Agent class, artifact streaming, cached tool caching, AIDevtools, multi-agent orchestration with handoffs, and persistent Upstash memory.

#AI#Vercel AI SDK#Multi-Agent#Upstash#Memory#TypeScript#Tool Calling

Overview

Production-grade extensions for the Vercel AI SDK from the team behind Midday. Provides the missing production layer: a proper Agent class, persistent memory, tool caching, multi-agent handoffs with context isolation, and the AIDevtools debugging suite.

Features

  • Agent Class: Wraps AI SDK calls with retry logic, context management, and structured output.
  • Artifact Streaming: Stream rich artifacts (code, data, markdown) with progressive rendering.
  • Cached Tools: Automatic tool result caching with configurable TTLs to avoid redundant API calls.
  • Multi-Agent Handoffs: Delegate subtasks to specialized agents with full context isolation.
  • Upstash Memory: Persistent conversation memory across sessions using Upstash Redis.

Use Cases

  • Building a production AI pipeline beyond simple chat — multi-step reasoning, background tasks.
  • Adding memory to AI conversations so context persists between user sessions.
  • Debugging complex AI tool chains with the built-in AIDevtools middleware.

Technical Advantages

  • Agent class is the production wrapper your entire AI pipeline needs — handles errors, retries, and timeouts.
  • Upstash Redis memory means conversation state survives serverless cold starts.
  • Caching reduces API costs significantly in tool-heavy agents.