Next-Generation
Multi-Agent Orchestration

import { Society } from 'societyai';
// SocietyAI is model-agnostic (Zero Dependencies).
// Bring your own AI model adapter (OpenAI, Anthropic, etc.)
import { MyAIModel } from './my-model-adapter';

const model = new MyAIModel(process.env.OPENAI_API_KEY);

const result = await Society.create()
  .withId('blog-team')
  
  // -- Define Agents --
  .addAgent(agent => agent
    .withId('writer')
    .withRole(role => role
      .withName('Technical Writer')
      .withSystemPrompt('You are an expert in concise technical writing.')
    )
    .withModel(model)
  )
  .addAgent(agent => agent
    .withId('editor')
    .withRole(role => role
      .withName('Editor in Chief')
      .withSystemPrompt('You correct style and verify clarity.')
    )
    .withModel(model)
  )
  
  // -- Define Workflow --
  
  // Task 1: The writer writes
  .addTask(task => task
    .withId('draft')
    .withAgents(['writer'])
    .withInstructions('Write a paragraph about the benefits of TypeScript.')
    .sequential()
  )
  
  // Task 2: The editor reviews (depends on 'draft')
  .addTask(task => task
    .withId('review')
    .dependsOn('draft')
    .withAgents(['editor'])
    .withInstructions('Review the text, correct mistakes, and improve tone.')
    .sequential()
  )
  
  // Execute
  .execute('Start Project');

console.log('Final Result:', result.output);