SuperAPI AI Directory

retellai-performance-tuning

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Updated 10-15 23:28

About this skill

Retell AI Performance Tuning

Overview

Implementation patterns for Retell AI performance tuning — 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 performance tuning

## 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

### Improve response latency with a measured canary

Capture baseline end-to-end latency, model latency, transfer outcome, and
completion rate for a synthetic test suite before changing an agent setting.
Apply one prompt, model, or integration change to a preview version and repeat
the same suite. Promote to a small canary only if latency improves without a
drop in completion or an increase in handoffs; otherwise restore the prior
version and retain the comparison as the performance decision record.

## 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.