name: speak-performance-tuning description: 'Optimize Speak API latency with audio preprocessing, response caching, and connection pooling.

Use when implementing performance tuning,

or managing Speak language learning platform operations.

Trigger with phrases like "speak performance tuning", "speak performance tuning".

' allowed-tools: Read, Write, Edit, Bash(npm:), Bash(curl:), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• speak
• api compatibility: Designed for Claude Code, also compatible with Codex and OpenClaw

Speak Performance Tuning

Overview

Optimize Speak API latency with audio preprocessing, response caching, and connection pooling.

Prerequisites

• Completed speak-install-auth setup
• Valid API credentials configured
• Understanding of Speak API patterns

Instructions

Step 1: Configuration

Configure performance tuning for your Speak integration. Speak uses OpenAI's GPT-4o for AI tutoring and Whisper for speech recognition.

// speak_performance_tuning_config.ts
const config = {
  apiKey: process.env.SPEAK_API_KEY!,
  appId: process.env.SPEAK_APP_ID!,
  environment: process.env.NODE_ENV || 'development',
};

Step 2: Implementation

// Core implementation for speak performance tuning
import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient(config);

// Production-ready implementation
async function setup() {
  const health = await client.health.check();
  console.log("Status:", health.status);
  return health;
}

Step 3: Verification

curl -sf -H "Authorization: Bearer $SPEAK_API_KEY" https://api.speak.com/v1/health | jq .

Output

• Speak Performance Tuning configured and verified
• Production-ready Speak integration
• Error handling and monitoring in place

Error Handling

Resources

• Speak Website
• OpenAI Realtime API
• Speak GPT-4 Blog

Next Steps

For production checklist, see speak-prod-checklist.

Examples

Basic: Apply performance tuning with default settings for a standard Speak integration.

Production: Configure with monitoring, alerting, and team-specific language learning requirements.