Imported from jeremylongshore/tons-of-skills-marketplace (
skills/.curated/retellai-load-scale/SKILL.md). Install upstream withnpx skills add jeremylongshore/tons-of-skills-marketplace --skill retellai-load-scale. Copyright stays with the author (MIT).
Retell AI Load Scale
Overview
Implementation patterns for Retell AI load scale — voice agent and telephony platform.
Prerequisites
- Completed
retellai-install-authsetup
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.