The interface is localized. Skill descriptions and documents are machine-translated by AI into your language; code, commands, paths and technical terms stay in the original, and the author's document governs.
Explore skills
Productivity · SKILL.md

retellai-reliability-patterns

retellai-reliability-patterns

Retell AI reliability patterns — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell reliability patterns", "retellai-reliability-patterns", "voice agent".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill documentation

GitHub

name: retellai-reliability-patterns description: "Retell AI reliability patterns \u2014 AI voice agent and phone call
\ automation.\nUse when working with Retell AI for voice agents, phone calls, or
\ telephony.\nTrigger with phrases like "retell reliability patterns", "retellai-reliability-patterns"
, "voice agent".\n" allowed-tools: Read, Write, Edit, Bash(npm:), Bash(curl:), Grep version: 1.9.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • retellai
  • voice
  • telephony
  • ai-agents compatibility: Designed for Claude Code

Retell AI Reliability Patterns

Overview

Implementation patterns for Retell AI reliability patterns — 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 reliability patterns

Error Handling

ErrorCauseSolution
401 UnauthorizedInvalid API keyCheck RETELL_API_KEY
429 Rate LimitedToo many requestsImplement backoff
400 Bad RequestInvalid parametersCheck API documentation

Examples

Design a safe fallback for a dependent CRM outage

Give the voice flow a short, explicit timeout for CRM lookup and a fallback response that either schedules a follow-up or transfers to a human queue. Test the fallback by making the preview CRM endpoint return a controlled error, then confirm no call is retried or double-booked. Track the fallback rate separately from general call failures and remove the temporary routing change only after the dependency and a synthetic recovery call both succeed.

Resources

Next Steps

See related Retell AI skills for more workflows.

Saved skills