speak-common-errors

Speak Common Errors

Overview

Diagnose and fix common Speak API errors: authentication failures, audio format issues, rate limits, and session management problems.

Prerequisites

• Completed speak-install-auth setup
• Valid API credentials configured
• ffmpeg installed for audio processing

Instructions

Error Code Reference

Quick Diagnostic

# Check API key validity
curl -s -o /dev/null -w "%{http_code}" \
  -H "Authorization: Bearer $SPEAK_API_KEY" \
  https://api.speak.com/v1/languages
# 200 = valid, 401 = invalid, 403 = insufficient permissions

# Check audio format
ffprobe -v quiet -print_format json -show_streams recording.wav \
  | python3 -c "import sys,json; s=json.load(sys.stdin)['streams'][0]; print(f'Rate: {s[\"sample_rate\"]}Hz, Channels: {s[\"channels\"]}')"
# Must be: Rate: 16000Hz, Channels: 1

Error Recovery Pattern

async function resilientSpeakCall<T>(fn: () => Promise<T>, maxRetries = 3): Promise<T> {
  for (let i = 0; i < maxRetries; i++) {
    try {
      return await fn();
    } catch (err: any) {
      const code = err.response?.data?.error?.code;
      if (code === 'audio_format_invalid') {
        // Auto-convert and retry
        throw new Error('Convert audio to WAV 16kHz mono before retrying');
      }
      if (code === 'session_expired') {
        throw new Error('Session expired — start a new conversation session');
      }
      if (err.response?.status === 429) {
        const wait = parseInt(err.response.headers['retry-after'] || '5');
        await new Promise(r => setTimeout(r, wait * 1000));
        continue;
      }
      throw err;
    }
  }
  throw new Error('Max retries exceeded');
}

Output

• Errors implementation complete
• Speak API integration verified
• Error recovery tested

Error Handling

Resources

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

Next Steps

See speak-debug-bundle for diagnostic tools.

Examples

Basic: Apply common errors with default configuration for a standard Speak integration.

Advanced: Customize for production with error recovery, monitoring, and team-specific requirements.