Playground TypeScript SDK

The TypeScript SDK provides an idiomatic Node.js interface for building and running Playground agents. It mirrors the Python SDK APIs, including AI, memory, discovery, and MCP tooling.

Installing

npm install @hanzo/playground

Rate limiting

AI calls are wrapped with a stateless rate limiter that matches the Python SDK: exponential backoff, container-scoped jitter, Retry-After support, and a circuit breaker.

Configure per-agent via aiConfig:

import { Agent } from '@hanzo/playground';

const agent = new Agent({
  nodeId: 'demo',
  aiConfig: {
    model: 'gpt-4o',
    enableRateLimitRetry: true,           // default: true
    rateLimitMaxRetries: 20,              // max retry attempts
    rateLimitBaseDelay: 1.0,              // seconds
    rateLimitMaxDelay: 300.0,             // seconds cap
    rateLimitJitterFactor: 0.25,          // ±25% jitter
    rateLimitCircuitBreakerThreshold: 10, // consecutive failures before opening
    rateLimitCircuitBreakerTimeout: 300   // seconds before closing breaker
  }
});

To disable retries, set enableRateLimitRetry: false.

You can also use the limiter directly:

import { StatelessRateLimiter } from '@hanzo/playground';

const limiter = new StatelessRateLimiter({ maxRetries: 3, baseDelay: 0.5 });
const result = await limiter.executeWithRetry(() => makeAiCall());

Execution Notes

Log execution progress with ctx.note(message: string, tags?: string[]) for fire-and-forget debugging in the Playground UI.

agent.reasoner('process', async (ctx) => {
  ctx.note('Starting processing', ['debug']);
  const result = await processData(ctx.input);
  ctx.note(`Completed: ${result.length} items`, ['info']);
  return result;
});

Use note() for Playground UI tracking, console.log() for local debugging.