Speak reference architecture
Skill jeremylongshore/claude-code-plugins-plus-skills/skills/.curated/speak-reference-architecture
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'Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.
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SKILL.md
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Speak Reference Architecture
Overview
Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.
Prerequisites
- Completed
speak-install-authsetup - Valid API credentials configured
- Understanding of Speak API patterns
Instructions
Step 1: Configuration
Configure reference architecture for your Speak integration. Speak uses OpenAI's GPT-4o for AI tutoring and Whisper for speech recognition.
// speak_reference_architecture_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 reference architecture
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 Reference Architecture configured and verified
- Production-ready Speak integration
- Error handling and monitoring in place
Error Handling
| Error | Cause | Solution |
|---|---|---|
| 401 Unauthorized | Invalid API key | Verify SPEAK_API_KEY |
| 429 Rate Limited | Too many requests | Implement backoff |
| Connection timeout | Network issue | Check connectivity to api.speak.com |
| Audio format error | Wrong codec | Convert to WAV 16kHz mono |
Resources
Next Steps
For production checklist, see speak-prod-checklist.
Examples
Basic: Apply reference architecture with default settings for a standard Speak integration.
Production: Configure with monitoring, alerting, and team-specific language learning requirements.