Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/retellai-load-scale/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill retellai-load-scale. Copyright stays with the author (MIT).

Retell AI Load Scale

Name: retellai-load-scale
Author: jeremylongshore

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.

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retellai-load-scale

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