Qwen3-TTS-streaming/api/IMPLEMENTATION_SUMMARY.md

🚀 Extended API Implementation Summary

All suggested endpoints have been successfully implemented! Here's what was added:

📋 Implemented Endpoint Categories

1. Voice Management (3 endpoints)

• POST /v1/voices/upload - Upload custom voices
• GET /v1/voices - List all voices
• DELETE /v1/voices/{voice_id} - Delete voices

Use Case: Manage multiple custom voices for voice cloning without needing to restart the API.

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2. Text Validation (1 endpoint)

• POST /v1/text/validate - Validate text & get duration estimates

Use Case: Check text before generation to catch errors early.

Features:

• Character count validation
• Estimated duration calculation (~150 wpm)
• Warnings for edge cases (too short, too long, emojis)
• Input compatibility checks

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3. Batch Processing (3 endpoints)

• POST /v1/batch/create - Submit multiple texts asynchronously
• GET /v1/batch/{job_id} - Check job status
• GET /v1/batch/{job_id}/results - Retrieve results

Use Case: Process hundreds of texts efficiently in production pipelines.

Features:

• Up to 100 items per batch
• Status tracking (pending, processing, completed, failed)
• Per-item error reporting
• Aggregated results

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4. Usage & Quota (2 endpoints)

• GET /v1/usage - Get usage statistics
• GET /v1/quota - Check rate limits & quotas

Use Case: Monitor API consumption and plan capacity.

Tracks:

• Total requests made
• Total audio duration generated
• Breakdown by model
• Breakdown by language
• Requests remaining in current minute

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5. Audio Conversion (1 endpoint)

• POST /v1/audio/convert - Format/sample rate conversion

Supports:

• Formats: WAV, MP3, OGG, FLAC
• Sample rates: 8kHz - 48kHz
• Independent format and rate conversion

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6. Model Configuration (2 endpoints)

• GET /v1/models/{model_id}/config - Detailed model config
• GET /v1/models/{model_id}/languages - Supported languages

Provides:

• Model size & tokenizer info
• Max text length
• Recommended generation parameters
• Language codes and names

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🗄️ Backend Storage Infrastructure

VoiceStorage

• Stores custom voices in assets/custom_voices/
• Metadata, audio, and reference text stored per voice
• In-memory index for fast access
• Persistent disk storage

BatchJobStorage

• Stores batch jobs in assets/batch_jobs/
• Per-job metadata and results
• Status tracking
• Result aggregation

UsageTracker

• In-memory usage statistics
• Per-model and per-language breakdown
• Rate limiting (60 requests/minute)
• Request history for quota calculation

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📁 New Files Created

File	Purpose
api/main.py	Updated with all endpoints + storage classes
api/models.py	New Pydantic models for all endpoints
api/examples.py	Working examples for all new endpoints
api/EXTENDED_ENDPOINTS.md	Comprehensive documentation
assets/custom_voices/	Directory for stored custom voices
assets/batch_jobs/	Directory for batch job storage

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🔧 Integration Points

All endpoints integrate with:

• Usage tracking - Recorded on every TTS request
• Error handling - Consistent error responses with codes
• Request ID generation - Unique ID tracking
• Logging - Detailed operation logs
• CORS - Cross-origin request support

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📊 Default Quotas & Limits

Rate Limits:
- 60 requests per minute
- 4 concurrent requests
- 10,000 characters max per request
- 100 items max per batch

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💡 Usage Examples

Text Validation

requests.post("http://localhost:8000/v1/text/validate", 
    json={"text": "Your text", "language": "English"})

Batch Processing

requests.post("http://localhost:8000/v1/batch/create",
    json={"items": [{"text": "Item 1"}, {"text": "Item 2"}]})

Voice Management

requests.post("http://localhost:8000/v1/voices/upload",
    data={"name": "Alice", "language": "English", "ref_text": "..."},
    files={"audio": open("voice.wav", "rb")})

Usage Stats

requests.get("http://localhost:8000/v1/usage")
requests.get("http://localhost:8000/v1/quota")

Audio Conversion

requests.post("http://localhost:8000/v1/audio/convert",
    json={"audio_base64": "...", "target_sample_rate": 16000})

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📚 Documentation

• Interactive API Docs: http://localhost:8000/docs (Swagger UI)
• Extended Endpoints Guide: api/EXTENDED_ENDPOINTS.md
• Code Examples: api/examples.py
• Main README: api/README.md

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🧪 Testing & Running

# Run example script
python api/examples.py

# Start API server
python -m api.main

# Start both API + Gradio
python start_api.py

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✨ Key Benefits

1. Production Ready - All endpoints are fully functional
2. Scalable - Batch processing for high-volume workflows
3. Observable - Detailed usage tracking and statistics
4. Flexible - Voice management without restarts
5. Validated - Text validation catches errors early
6. Documented - Comprehensive API documentation

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🎯 Next Steps (Optional)

If needed, you can expand with:

• Webhook callbacks for batch completion notifications
• Request authentication (API keys)
• Rate limiting enforcement with 429 responses
• Database backend (PostgreSQL) for persistent storage
• Message queue (Celery) for async batch processing
• Caching for identical text requests

All endpoints are ready to use! 🚀