retellai-load-scale

Implement Retell AI load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Retell AI integrations. T

SKILL.md

GitHub

Retell AI Load Scale

Overview

Implementation patterns for Retell AI load scale — voice agent and telephony platform.

Prerequisites

  • Completed retellai-install-auth setup

Instructions

Step 1: SDK Pattern

import Retell from 'retell-sdk';
const retell = new Retell({ apiKey: process.env.RETELL_API_KEY! });

const agents = await retell.agent.list();
console.log(`Agents: ${agents.length}`);

Output

  • Retell AI integration for load scale

Error Handling

Error Cause Solution
401 Unauthorized Invalid API key Check RETELL_API_KEY
429 Rate Limited Too many requests Implement backoff
400 Bad Request Invalid parameters Check API documentation

Examples

Load-test an inbound queue without contacting real callers

Use a preview number and synthetic caller identities to ramp concurrency in small steps. Record queue time, model latency, transfer rate, error rate, and the configured concurrency limit at each step. Stop the test when the agreed latency or error budget is crossed instead of compensating with unbounded retries. Use the result to set an initial production ceiling and retain the last known-good limit as the rollback value.

Resources

Next Steps

See related Retell AI skills for more workflows.