AI Scenario Hub 🤖

Code samples for Azure AI and Speech Services. Each folder contains a working example with setup instructions.

Note: These implementations are designed for development and testing environments. Review security configurations before production deployment.

Overview

Code samples for Azure AI service integrations. Each folder contains a standalone implementation that demonstrates how to solve specific problems with Azure OpenAI, Speech Services, and agent orchestration.

What's included:

• Working code examples - Clone and run implementations • Configuration templates - Environment setup for Azure services
• Implementation docs - Technical details and API usage • Common patterns - Reusable approaches for typical scenarios

Available Scenarios

Speech & Audio Processing

Scenario	Implementation	Status	Technical Features
Text-to-Speech Voice Consistency	Solves voice parameter drift in Azure TTS conversations	✅ Ready	SSML parameter locking, prosody control, consistent audio output
Real-time Speech Transcription	WebSocket-based real-time speech-to-text with GPT-4o	✅ Ready	WebSocket streaming, audio capture, real-time processing pipeline

AI Agent Orchestration

Scenario	Implementation	Status	Technical Features
Semantic Kernel Multi-Agent Retry Limit	Multi-agent conversation flow with retry logic and termination	✅ Ready	State management, retry counters, conversation orchestration

Contributing scenarios:

Submit technical scenarios via issues with implementation requirements.

Setup Instructions

1. Repository setup

git clone https://github.com/Ricky-G/ai-scenario-hub.git
cd ai-scenario-hub

2. Scenario selection

cd <scenario-directory>

3. Environment configuration

# Configure Azure credentials in .env file
cp .env.template .env  # Edit with your service keys
pip install -r requirements.txt
python app.py

Dependencies

Required services: • Azure Subscription - Setup guide • Azure OpenAI - GPT-4/GPT-4o access required • Azure Speech Services - For TTS scenarios

Development environment: • Python 3.8+ - Download • Azure CLI - Installation

Technology Stack

AI Services: • Azure OpenAI (GPT-4, GPT-4o) • Azure Speech Services • Semantic Kernel SDK

Infrastructure: • WebSocket connections • SSML markup • Audio processing (PyAudio) • Async/await patterns

Repository Structure

scenario-name/
├── README.md              # Implementation guide and API docs
├── app.py                 # Main application entry point
├── requirements.txt       # Python dependencies
└── .env                   # Service configuration (template)

Development Notes

Implementation patterns: • Each scenario is self-contained with minimal dependencies • Configuration via environment variables • Error handling and logging included • Async patterns for service calls

Service integration: • Authentication via Azure SDK patterns • Retry logic for transient failures
• Resource cleanup and connection management • Environment-specific configuration

Contributing

Adding scenarios:

1. Fork repository
2. Create scenario directory with required structure
3. Include comprehensive README with technical details
4. Test with actual Azure services
5. Submit pull request

Code standards: • Python type hints required • Error handling for service calls • Environment configuration patterns • Documentation for public APIs

Support

Technical issues: • GitHub Issues - Bug reports and feature requests • Discussions - Implementation questions

Security: • Review SECURITY.md for vulnerability reporting • Validate configurations before production deployment

License

MIT License - Open source usage permitted.