retellai-load-scale

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

- [Retell AI Documentation](https://docs.retellai.com)
- [retell-sdk npm](https://www.npmjs.com/package/retell-sdk)

## Next Steps

See related Retell AI skills for more workflows.