Documentation
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);
}
}