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Workflow agents are currently not available in the AI SDK. This page is a placeholder for future functionality.For multi-step agent workflows, use ToolLoopAgent with custom step logic in the prepareStep callback.

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Alternative: Custom multi-step workflows

You can implement custom workflow logic using ToolLoopAgent or by chaining multiple generateText calls: 
import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';

// Step 1: Generate initial response
const step1 = await generateText({
  model: openai('gpt-4-turbo'),
  prompt: 'Analyze this text: ...',
});

// Step 2: Process the result
const step2 = await generateText({
  model: openai('gpt-4-turbo'),
  messages: [
    { role: 'user', content: 'Analyze this text: ...' },
    { role: 'assistant', content: step1.text },
    { role: 'user', content: 'Now summarize your analysis' },
  ],
});

console.log(step2.text);

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Using ToolLoopAgent for workflows

The ToolLoopAgent can be configured to implement complex workflows: 
import { ToolLoopAgent } from 'ai';
import { openai } from '@ai-sdk/openai';

const agent = new ToolLoopAgent({
  model: openai('gpt-4-turbo'),
  tools: {
    // Define workflow steps as tools
    analyzeText: tool({
      description: 'Analyze the provided text',
      inputSchema: z.object({ text: z.string() }),
      execute: async ({ text }) => {
        // Analysis logic
        return { sentiment: 'positive', topics: ['AI', 'technology'] };
      },
    }),
    summarize: tool({
      description: 'Summarize the analysis results',
      inputSchema: z.object({ analysis: z.object({}) }),
      execute: async ({ analysis }) => {
        // Summarization logic
        return { summary: 'The text discusses AI and technology positively' };
      },
    }),
  },
  instructions: 'You are a workflow automation assistant. Execute the steps in order.',
  prepareStep: ({ steps, messages }) => {
    // Custom logic to prepare each step
    return {
      // Modify settings based on step number or previous results
    };
  },
});

const result = await agent.generate({
  prompt: 'Analyze and summarize this article: ...',
});