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Orchestration

Explore this guide to learn how ChatboxAI works and how to integrate it into your workflow.

Orchestration

Coordinate multiple AI agents to solve complex tasks that require collaboration and specialization.

Multi-Agent Architecture

JAVASCRIPT
class Orchestrator {
  constructor(agents) {
    this.agents = agents;
  }

  async run(task) {
    // Route task to appropriate specialist
    const agent = this.selectAgent(task);
    const result = await agent.execute(task);
    
    // If agent needs help, hand off to another
    if (result.needsHandoff) {
      const handoffAgent = this.agents[result.handoffTo];
      return handoffAgent.execute({ ...task, context: result.context });
    }
    
    return result;
  }

  selectAgent(task) {
    if (task.type === "code") return this.agents.codeAgent;
    if (task.type === "search") return this.agents.researchAgent;
    return this.agents.generalAgent;
  }
}

Handoffs

Pass context between agents cleanly:

JAVASCRIPT
async function handoff(fromAgent, toAgent, context, task) {
  const summary = await fromAgent.summarizeProgress(context);
  return toAgent.execute({ task, priorContext: summary });
}

Parallel Execution

Run multiple agents simultaneously for independent subtasks:

JAVASCRIPT
async function parallelAgents(tasks) {
  const results = await Promise.all(
    tasks.map((task) => agents[task.type].execute(task))
  );
  return combineResults(results);
}

Error Recovery

JAVASCRIPT
async function runWithFallback(primaryAgent, fallbackAgent, task) {
  try {
    return await primaryAgent.execute(task);
  } catch (err) {
    console.warn("Primary agent failed, trying fallback:", err.message);
    return fallbackAgent.execute(task);
  }
}