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@ai-sdk/workflow

v2.0.7

Published

WorkflowAgent for building AI agents with AI SDK

Readme

@ai-sdk/workflow

WorkflowAgent is a class for building durable AI agents that can maintain state across workflow steps, call tools, and handle interruptions gracefully.

Installation

npm install @ai-sdk/workflow ai workflow@beta

Usage

import { WorkflowAgent } from '@ai-sdk/workflow';
import { z } from 'zod';

const agent = new WorkflowAgent({
  model: 'anthropic/claude-opus',
  tools: {
    getWeather: {
      description: 'Get weather for a location',
      inputSchema: z.object({ location: z.string() }),
      execute: async ({ location }) => {
        // Fetch weather data
        return { temperature: 72, condition: 'sunny' };
      },
    },
  },
  system: 'You are a helpful weather assistant.',
});

const result = await agent.stream({
  messages: [{ role: 'user', content: 'What is the weather in SF?' }],
  writable: new WritableStream({
    write(chunk) {
      console.log('Chunk:', chunk);
    },
  }),
});

console.log('Final messages:', result.messages);
console.log('Steps:', result.steps);

Features

  • Streaming Support: Stream responses in real-time
  • Tool Calling: Execute tools dynamically during conversation
  • Context Management: Pass context between steps
  • Error Handling: Robust error handling with callbacks
  • Structured Output: Parse structured outputs from LLM responses
  • Step Callbacks: Hook into each step of the agent loop
  • Provider-Executed Tools: Support for provider-executed tools
  • Abort Support: Cancel operations with AbortSignal

API

See the AI SDK documentation for full API details.

License

Apache-2.0