Speak local dev loop
'Configure Speak local development with mocked tutors and audio testing.From its SKILL.md
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SKILL.md
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Speak Local Dev Loop
Overview
Set up a fast local development workflow for Speak language learning integrations. Includes mock tutor responses for offline development, audio test fixtures, and a debug mode for scoring analysis.
Prerequisites
- Completed
speak-install-authsetup - Node.js 18+ with npm/pnpm
- ffmpeg installed (for audio conversion)
Instructions
Step 1: Project Structure
speak-app/
src/
speak/client.ts # Speak API client
speak/tutor.ts # AI tutor conversation manager
speak/pronunciation.ts # Pronunciation assessment
speak/audio.ts # Audio recording and preprocessing
tests/
mocks/ # Mock responses for offline dev
fixtures/ # Sample audio files for testing
unit/ # Unit tests with mocked API
integration/ # Integration tests (needs API key)
.env.development # Dev credentials
.env.test # Test credentials (mock mode)
Step 2: Mock Tutor for Offline Development
// tests/mocks/mock-speak-client.ts
export class MockSpeakClient {
async startConversation(config: any) {
return {
id: 'mock-session-123',
firstPrompt: {
text: 'Hola! Bienvenido. Como te llamas?',
audioUrl: null,
},
};
}
async sendTurn(sessionId: string, input: any) {
return {
tutorText: 'Muy bien! Tu pronunciacion es buena.',
pronunciationScore: 85,
corrections: [],
vocabularyNotes: ['llamo = I call myself'],
};
}
async assessPronunciation(config: any) {
return {
score: 82,
words: [
{ text: 'Hola', score: 95, phonemes: [] },
{ text: 'como', score: 78, phonemes: [
{ symbol: 'o', score: 65, suggestion: 'Round lips more' }
]},
],
};
}
}
Step 3: Audio Test Fixtures
# Generate test audio files using text-to-speech
# macOS:
say -v "Paulina" "Hola, como estas" -o tests/fixtures/hola-es.wav
# Linux:
espeak -v es "Hola, como estas" -w tests/fixtures/hola-es.wav
# Convert to required format
ffmpeg -i tests/fixtures/hola-es.wav -ar 16000 -ac 1 tests/fixtures/hola-es-16k.wav
Step 4: Development Scripts
{
"scripts": {
"dev": "tsx watch src/index.ts",
"dev:mock": "SPEAK_MOCK_MODE=true tsx watch src/index.ts",
"test": "vitest run",
"test:watch": "vitest",
"lesson:test": "tsx src/test-lesson.ts"
}
}
Step 5: Debug Mode
// Enable detailed scoring output
const DEBUG = process.env.SPEAK_DEBUG === 'true';
function logAssessment(result: PronunciationResult) {
if (!DEBUG) return;
console.log('=== Pronunciation Debug ===');
for (const word of result.words) {
const flag = word.score < 70 ? 'WEAK' : 'OK';
console.log(` [${flag}] "${word.text}": ${word.score}/100`);
for (const p of word.phonemes || []) {
if (p.score < 70) {
console.log(` phoneme "${p.symbol}": ${p.score} - ${p.suggestion}`);
}
}
}
}
Output
- Project structure with client, tests, and mocks
- Mock tutor client for offline development
- Audio test fixtures generated with TTS
- Debug mode for pronunciation analysis
- Development scripts for fast iteration
Error Handling
| Error | Cause | Solution |
|---|---|---|
| ffmpeg not found | Not installed | Install via brew install ffmpeg or apt install ffmpeg |
| Mock mode not activating | Env var not set | Check SPEAK_MOCK_MODE=true |
| Audio file too large | Long recording | Trim to 30 seconds max for testing |
| Test timeout | Slow API response | Use mock mode for unit tests |
Resources
Next Steps
See speak-sdk-patterns for production-ready code patterns.
Examples
Mock-first development: Run npm run dev:mock to iterate on UI and conversation flow without API calls. Switch to real API for integration testing.
Audio quality testing: Record samples at different quality levels and compare pronunciation scores to calibrate your recording pipeline.
What ships with it: 1 file
6.1 KB alongside SKILL.md
references/
- implementation-guide.md6.1 KB