diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/.env.template b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/.env.template new file mode 100644 index 00000000..69ee085d --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/.env.template @@ -0,0 +1,11 @@ +# Azure AI Foundry Configuration +AZURE_AI_FOUNDRY_PROJECT_ENDPOINT=https://your-project.cognitiveservices.azure.com/ +AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME=your-model-deployment-name + +# Optional: Azure Authentication (if not using Azure CLI) +# AZURE_CLIENT_ID=your-client-id +# AZURE_CLIENT_SECRET=your-client-secret +# AZURE_TENANT_ID=your-tenant-id + +# Optional: Logging Level +# AZURE_LOG_LEVEL=INFO diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/.gitignore b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/.gitignore new file mode 100644 index 00000000..27c8af78 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/.gitignore @@ -0,0 +1,78 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ +.pytest_cache/ + +# Virtual environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# IDEs +.vscode/ +.idea/ +*.swp +*.swo + +# macOS +.DS_Store + +# Logs +*.log + +# Temporary files +*.tmp +*.temp + +# Azure credentials (should be in environment or mounted) +.azure/ + +# Local development files +.env.local +.env.development diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/DEVELOPMENT.md b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/DEVELOPMENT.md new file mode 100644 index 00000000..9ce9f6e2 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/DEVELOPMENT.md @@ -0,0 +1,309 @@ +# Development Guide + +This guide covers development, testing, and deployment of the Hello World Azure AI Foundry Agent. + +## ๐Ÿ› ๏ธ Development Setup + +### Prerequisites + +- Python 3.11+ +- Azure AI Foundry project with deployed model +- Azure CLI (for authentication) + +### Local Development + +1. **Clone and setup**: + ```bash + cd hello_world_agent + uv sync # or pip install -e . + cp .env.template .env + # Edit .env with your credentials + ``` + +2. **Run in development mode**: + ```bash + python cli.py web --reload + ``` + +3. **Access the application**: + - Web UI: http://localhost:8000 + - Health check: http://localhost:8000/health + +## ๐Ÿงช Testing + +### Unit Tests + +```bash +# Run tests +python -m pytest tests/ + +# Run with coverage +python -m pytest tests/ --cov=hello_world_agent + +# Run specific test +python -m pytest tests/test_hello_agent.py::TestHelloWorldAgent::test_init +``` + +### Integration Tests + +```bash +# Check environment +python cli.py check --verbose + +# Test console interaction +python cli.py console + +# Test examples +python examples/simple_chat.py +python examples/multi_turn.py +python examples/error_handling.py +``` + +### Manual Testing + +1. **Web Interface**: + - Open browser to http://localhost:8000 + - Test real-time messaging + - Test error scenarios (disconnect/reconnect) + - Test mobile responsiveness + +2. **API Endpoints**: + ```bash + # Health check + curl http://localhost:8000/health + + # Create session + curl -X POST http://localhost:8000/api/session + + # Send message + curl -X POST http://localhost:8000/api/message \ + -H "Content-Type: application/json" \ + -d '{"session_id": "your-session-id", "message": "Hello!"}' + ``` + +## ๐Ÿณ Docker Development + +### Build and Run + +```bash +# Build image +docker build -t hello-world-agent . + +# Run container +docker run -p 8000:8000 \ + -e AZURE_AI_FOUNDRY_PROJECT_ENDPOINT="your-endpoint" \ + -e AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME="your-model" \ + hello-world-agent + +# Using Docker Compose +docker-compose up --build +``` + +### Docker Development Workflow + +```bash +# Development with auto-reload +docker-compose -f docker-compose.dev.yml up + +# Production build +docker-compose up -d + +# View logs +docker-compose logs -f + +# Stop services +docker-compose down +``` + +## ๐Ÿ“ Project Structure Explained + +``` +hello_world_agent/ +โ”œโ”€โ”€ __main__.py # Application entry point +โ”œโ”€โ”€ web_app.py # Starlette web application +โ”œโ”€โ”€ hello_agent.py # Core Azure AI agent logic +โ”œโ”€โ”€ cli.py # Command-line interface +โ”œโ”€โ”€ utils.py # Utility functions +โ”œโ”€โ”€ client.py # Test client +โ”œโ”€โ”€ templates/ # Jinja2 templates +โ”‚ โ””โ”€โ”€ index.html # Main chat interface +โ”œโ”€โ”€ static/ # Static assets +โ”‚ โ””โ”€โ”€ style.css # Additional styles +โ”œโ”€โ”€ examples/ # Usage examples +โ”œโ”€โ”€ tests/ # Test suite +โ””โ”€โ”€ docs/ # Documentation +``` + +## ๐Ÿ”ง Configuration + +### Environment Variables + +| Variable | Required | Description | Example | +|----------|----------|-------------|---------| +| `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` | Yes | Azure AI project endpoint | `https://your-project.cognitiveservices.azure.com/` | +| `AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME` | Yes | Model deployment name | `gpt-4` | +| `AZURE_CLIENT_ID` | No | Service principal client ID | `your-client-id` | +| `AZURE_CLIENT_SECRET` | No | Service principal secret | `your-secret` | +| `AZURE_TENANT_ID` | No | Azure tenant ID | `your-tenant-id` | + +### Configuration Files + +- `.env` - Local environment variables +- `pyproject.toml` - Python project configuration +- `docker-compose.yml` - Docker services configuration + +## ๐Ÿš€ Deployment + +### Local Production + +```bash +# Install production dependencies +uv sync --no-dev + +# Run with production server +python cli.py web --host 0.0.0.0 --port 8000 +``` + +### Docker Deployment + +```bash +# Build production image +docker build -t hello-world-agent:prod . + +# Run production container +docker run -d \ + --name hello-world-agent \ + -p 8000:8000 \ + --restart unless-stopped \ + -e AZURE_AI_FOUNDRY_PROJECT_ENDPOINT="your-endpoint" \ + -e AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME="your-model" \ + hello-world-agent:prod +``` + +### Cloud Deployment + +#### Azure Container Instances + +```bash +# Create resource group +az group create --name hello-world-rg --location eastus + +# Deploy container +az container create \ + --resource-group hello-world-rg \ + --name hello-world-agent \ + --image hello-world-agent:prod \ + --dns-name-label hello-world-agent-unique \ + --ports 8000 \ + --environment-variables \ + AZURE_AI_FOUNDRY_PROJECT_ENDPOINT="your-endpoint" \ + AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME="your-model" +``` + +#### Azure App Service + +```bash +# Create app service plan +az appservice plan create \ + --name hello-world-plan \ + --resource-group hello-world-rg \ + --sku B1 \ + --is-linux + +# Create web app +az webapp create \ + --resource-group hello-world-rg \ + --plan hello-world-plan \ + --name hello-world-agent-app \ + --deployment-container-image-name hello-world-agent:prod +``` + +## ๐Ÿ› Debugging + +### Common Issues + +1. **Authentication Errors**: + ```bash + # Check Azure CLI login + az account show + + # Login if needed + az login + ``` + +2. **Module Import Errors**: + ```bash + # Ensure proper installation + pip install -e . + + # Check Python path + python -c "import sys; print(sys.path)" + ``` + +3. **Port Already in Use**: + ```bash + # Find process using port + lsof -i :8000 + + # Kill process + kill -9 + + # Or use different port + python cli.py web --port 3000 + ``` + +### Debug Mode + +```bash +# Enable debug logging +export AZURE_LOG_LEVEL=DEBUG + +# Run with verbose output +python cli.py web --reload + +# Check health endpoint +curl http://localhost:8000/health | jq +``` + +## ๐Ÿ“Š Monitoring + +### Health Checks + +- **Application**: `GET /health` +- **Docker**: Built-in healthcheck +- **Kubernetes**: Readiness/liveness probes + +### Logging + +```python +import logging + +# Configure logging level +logging.basicConfig(level=logging.INFO) + +# Check logs in Docker +docker logs hello-world-agent +``` + +## ๐Ÿค Contributing + +1. **Fork the repository** +2. **Create feature branch**: `git checkout -b feature/new-feature` +3. **Make changes and test**: `python -m pytest` +4. **Commit changes**: `git commit -m "Add new feature"` +5. **Push to branch**: `git push origin feature/new-feature` +6. **Create pull request** + +### Code Style + +```bash +# Format code +black hello_world_agent/ +isort hello_world_agent/ + +# Type checking +mypy hello_world_agent/ + +# Linting +flake8 hello_world_agent/ +``` diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/Dockerfile b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/Dockerfile new file mode 100644 index 00000000..d36f028a --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/Dockerfile @@ -0,0 +1,31 @@ +# Use Python 3.11 slim image +FROM python:3.11-slim + +# Set working directory +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + build-essential \ + && rm -rf /var/lib/apt/lists/* + +# Copy requirements first for better caching +COPY pyproject.toml ./ +RUN pip install --no-cache-dir -e . + +# Copy application code +COPY . . + +# Create non-root user +RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app +USER appuser + +# Expose port +EXPOSE 8000 + +# Health check +HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ + CMD curl -f http://localhost:8000/health || exit 1 + +# Run the application +CMD ["python", "-m", "hello_world_agent"] diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/README.md b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/README.md new file mode 100644 index 00000000..d035d7d2 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/README.md @@ -0,0 +1,224 @@ +# Hello World Azure AI Foundry Agent + +A simple example demonstrating how to create and interact with an Azure AI Foundry agent through a modern web interface. + +## Overview + +This is a "Hello World" example that shows the basic structure and usage of an Azure AI Foundry agent with a Starlette web application. The application provides: + +- **Modern Web Interface**: Real-time chat interface with WebSocket support +- **RESTful API**: Standard HTTP endpoints for integration +- **Real-time Communication**: WebSocket-based messaging for instant responses +- **Session Management**: Automatic session creation and cleanup +- **Error Handling**: Comprehensive error handling and user feedback + +## Features + +- ๐ŸŒ **Modern Web UI**: Clean, responsive chat interface +- โšก **Real-time Chat**: WebSocket-based communication +- ๐Ÿ“ฑ **Mobile Friendly**: Responsive design that works on all devices +- ๐Ÿ”„ **Auto-reconnect**: Automatic reconnection on connection loss +- ๐Ÿ’ฌ **Typing Indicators**: Visual feedback during agent processing +- ๐ŸŽจ **Beautiful Design**: Modern gradient design with smooth animations +- ๐ŸŒ™ **Dark Mode**: Automatic dark mode support based on system preferences + +## Prerequisites + +1. **Azure AI Foundry Project** with a deployed language model +2. **Azure Authentication** configured (Azure CLI, Service Principal, or Managed Identity) +3. **Python 3.11+** + +## Setup + +### 1. Environment Configuration + +Create a `.env` file from the template: + +```bash +cp .env.template .env +``` + +Edit the `.env` file and set your Azure AI Foundry credentials: + +```env +AZURE_AI_FOUNDRY_PROJECT_ENDPOINT=https://your-project.cognitiveservices.azure.com/ +AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME=your-model-deployment-name +``` + +### 2. Install Dependencies + +```bash +# Using uv (recommended) +uv sync + +# Or using pip +pip install -e . +``` + +### 3. Run the Application + +```bash +# Web interface (default) +uv run python -m hello_world_agent + +# Or using the CLI +python cli.py web + +# Console demo +python cli.py console +``` + +## Project Structure + +``` +hello_world_agent/ +โ”œโ”€โ”€ README.md # This file +โ”œโ”€โ”€ pyproject.toml # Project configuration and dependencies +โ”œโ”€โ”€ .env.template # Environment variables template +โ”œโ”€โ”€ __main__.py # Entry point for the web application +โ”œโ”€โ”€ web_app.py # Starlette web application +โ”œโ”€โ”€ hello_agent.py # Core agent implementation +โ”œโ”€โ”€ cli.py # Command-line interface +โ”œโ”€โ”€ utils.py # Utility functions +โ”œโ”€โ”€ client.py # Example client for testing +โ”œโ”€โ”€ templates/ # HTML templates +โ”‚ โ””โ”€โ”€ index.html # Main chat interface +โ”œโ”€โ”€ static/ # Static files (CSS, JS) +โ”‚ โ””โ”€โ”€ style.css # Additional styles +โ”œโ”€โ”€ examples/ # Usage examples +โ”‚ โ”œโ”€โ”€ simple_chat.py # Basic interaction example +โ”‚ โ”œโ”€โ”€ multi_turn.py # Multi-turn conversation +โ”‚ โ””โ”€โ”€ error_handling.py # Error handling demo +โ””โ”€โ”€ tests/ # Test files + โ””โ”€โ”€ test_hello_agent.py +``` + +## ๐Ÿš€ Usage + +### Web Interface (Default) + +The easiest way to use the agent is through the web interface: + +```bash +# Using uv (recommended) +uv run python -m hello_world_agent + +# Or using pip +python -m hello_world_agent + +# Or using the CLI +python cli.py web +``` + +Then open your browser to `http://localhost:8000` + +### Command Line Interface + +For more control, use the CLI: + +```bash +# Web server with custom port +python cli.py web --port 3000 + +# Console demo (original command-line interface) +python cli.py console + +# Check environment configuration +python cli.py check --verbose + +# Show help and information +python cli.py info +``` + +### API Endpoints + +The web application also provides REST API endpoints: + +- `GET /` - Web interface +- `GET /health` - Health check and environment validation +- `POST /api/session` - Create a new chat session +- `POST /api/message` - Send a message to the agent +- `POST /api/session/delete` - Delete a session +- `WebSocket /ws` - Real-time WebSocket communication + +## Usage Examples + +### Web Interface + +1. Open `http://localhost:8000` in your browser +2. Wait for the "Connected!" status message +3. Start chatting with the agent +4. The interface supports: + - Real-time messaging via WebSocket + - Typing indicators + - Mobile-responsive design + - Dark mode (automatic based on system preference) + +### Programmatic Usage + +```python +import asyncio +from hello_world_agent.hello_agent import HelloWorldAgent + +async def main(): + agent = HelloWorldAgent() + await agent.create_agent() + + # Create a conversation thread + thread = await agent.create_thread() + + # Send a message and get response + response = await agent.run_conversation( + thread.id, + "Hello! What can you do?" + ) + print(f"Agent: {response[0]}") + + await agent.cleanup_agent() + +if __name__ == "__main__": + asyncio.run(main()) +``` + +### Environment Variables + +| Variable | Description | Example | +|----------|-------------|---------| +| `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` | Your Azure AI Foundry project endpoint | `https://your-project.cognitiveservices.azure.com/` | +| `AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME` | The name of your deployed model | `gpt-4` | + +## Features Demonstrated + +- **Agent Creation**: How to create an Azure AI Foundry agent +- **Thread Management**: Creating and managing conversation threads +- **Message Handling**: Sending messages and receiving responses +- **Error Handling**: Basic error handling and cleanup +- **Environment Configuration**: Using environment variables for configuration + +## Next Steps + +This hello world example can be extended to: + +1. **Add Tools/Functions**: Implement custom functions the agent can call +2. **Add Memory**: Implement conversation memory and context +3. **Add UI**: Create a web interface using Gradio or Streamlit +4. **Add Logging**: Implement comprehensive logging +5. **Add Testing**: Write comprehensive tests for your agent + +## Troubleshooting + +### Common Issues + +1. **Authentication Errors**: Ensure you're authenticated with Azure CLI or have proper credentials configured +2. **Model Not Found**: Verify your model deployment name is correct +3. **Endpoint Issues**: Check that your Azure AI Foundry project endpoint is correct + +### Debug Mode + +Set the environment variable for verbose logging: + +```bash +export PYTHONPATH=. +export AZURE_LOG_LEVEL=DEBUG +python -m hello_world_agent +``` diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/__main__.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/__main__.py new file mode 100644 index 00000000..f430c9cb --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/__main__.py @@ -0,0 +1,8 @@ +"""Entry point for the Hello World Azure AI Foundry Agent. + +Run this module to start the Starlette web application. +""" + +if __name__ == "__main__": + from hello_world_agent.__main__ import main + main() diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/docker-compose.yml b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/docker-compose.yml new file mode 100644 index 00000000..159e2c32 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/docker-compose.yml @@ -0,0 +1,22 @@ +version: '3.8' + +services: + hello-world-agent: + build: . + ports: + - "8000:8000" + environment: + - AZURE_AI_FOUNDRY_PROJECT_ENDPOINT=${AZURE_AI_FOUNDRY_PROJECT_ENDPOINT} + - AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME=${AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME} + - AZURE_CLIENT_ID=${AZURE_CLIENT_ID:-} + - AZURE_CLIENT_SECRET=${AZURE_CLIENT_SECRET:-} + - AZURE_TENANT_ID=${AZURE_TENANT_ID:-} + volumes: + - ~/.azure:/home/appuser/.azure:ro # Mount Azure CLI credentials + restart: unless-stopped + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/health"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 40s diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/README.md b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/README.md new file mode 100644 index 00000000..8a4b38ab --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/README.md @@ -0,0 +1,82 @@ +# Hello World Azure AI Foundry Agent Examples + +This directory contains additional examples and use cases for the Hello World agent. + +## Examples + +### Basic Examples + +- `simple_chat.py` - Simple one-off conversation +- `multi_turn.py` - Multi-turn conversation example +- `error_handling.py` - Error handling demonstration + +### Advanced Examples + +- `streaming_response.py` - Streaming responses (if supported) +- `context_management.py` - Managing conversation context +- `custom_instructions.py` - Using custom instructions + +## Running Examples + +```bash +# Run a specific example +python examples/simple_chat.py + +# Or using uv +uv run python examples/simple_chat.py +``` + +## Example Descriptions + +### simple_chat.py +Demonstrates a basic single interaction with the agent. Good for testing connectivity and basic functionality. + +### multi_turn.py +Shows how to maintain a conversation across multiple messages, demonstrating the agent's memory capabilities within a thread. + +### error_handling.py +Demonstrates proper error handling for common scenarios like network issues, authentication errors, and malformed requests. + +## Creating New Examples + +When creating new examples: + +1. Import the HelloWorldAgent from the parent directory +2. Use proper error handling +3. Include cleanup code +4. Add documentation comments +5. Test with different scenarios + +Example template: + +```python +#!/usr/bin/env python3 +"""Example: Your example description here.""" + +import asyncio +import sys +from pathlib import Path + +# Add parent directory to path for imports +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from hello_agent import HelloWorldAgent + + +async def main(): + """Your example main function.""" + agent = HelloWorldAgent() + + try: + await agent.create_agent() + # Your example code here + + except Exception as e: + print(f"Error: {e}") + finally: + await agent.cleanup_agent() + + +if __name__ == "__main__": + asyncio.run(main()) +``` diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/error_handling.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/error_handling.py new file mode 100644 index 00000000..594dd0f0 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/error_handling.py @@ -0,0 +1,147 @@ +#!/usr/bin/env python3 +"""Error handling example with the Hello World Azure AI Foundry Agent.""" + +import asyncio +import os +import sys +from pathlib import Path + +# Add parent directory to path for imports +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from hello_world_agent.hello_agent import HelloWorldAgent +from hello_world_agent.utils import setup_logging, validate_environment, format_error_message + + +async def test_missing_credentials(): + """Test behavior when credentials are missing.""" + print("\n๐Ÿงช Test 1: Missing Credentials") + print("-" * 35) + + # Temporarily remove credentials + original_endpoint = os.environ.get('AZURE_AI_FOUNDRY_PROJECT_ENDPOINT') + original_model = os.environ.get('AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME') + + # Remove environment variables + if 'AZURE_AI_FOUNDRY_PROJECT_ENDPOINT' in os.environ: + del os.environ['AZURE_AI_FOUNDRY_PROJECT_ENDPOINT'] + if 'AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME' in os.environ: + del os.environ['AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME'] + + try: + agent = HelloWorldAgent() + await agent.create_agent() + print("โŒ Expected error but none occurred") + except KeyError as e: + print(f"โœ… Correctly caught missing environment variable: {e}") + except Exception as e: + print(f"โš ๏ธ Got unexpected error: {format_error_message(e)}") + finally: + # Restore environment variables + if original_endpoint: + os.environ['AZURE_AI_FOUNDRY_PROJECT_ENDPOINT'] = original_endpoint + if original_model: + os.environ['AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME'] = original_model + + +async def test_invalid_endpoint(): + """Test behavior with an invalid endpoint.""" + print("\n๐Ÿงช Test 2: Invalid Endpoint") + print("-" * 30) + + # Temporarily set invalid endpoint + original_endpoint = os.environ.get('AZURE_AI_FOUNDRY_PROJECT_ENDPOINT') + os.environ['AZURE_AI_FOUNDRY_PROJECT_ENDPOINT'] = 'https://invalid-endpoint.com/' + + try: + agent = HelloWorldAgent() + await agent.create_agent() + print("โŒ Expected error but none occurred") + except Exception as e: + error_msg = format_error_message(e) + print(f"โœ… Correctly caught invalid endpoint error:") + print(f" {error_msg}") + finally: + # Restore original endpoint + if original_endpoint: + os.environ['AZURE_AI_FOUNDRY_PROJECT_ENDPOINT'] = original_endpoint + + +async def test_graceful_cleanup(): + """Test graceful cleanup after errors.""" + print("\n๐Ÿงช Test 3: Graceful Cleanup") + print("-" * 28) + + agent = HelloWorldAgent() + + try: + # This might fail, but cleanup should still work + print("๐Ÿ”ง Attempting to create agent...") + await agent.create_agent() + print("โœ… Agent created successfully") + + # Simulate some error during operation + print("๐Ÿ’ฅ Simulating an error...") + raise ValueError("Simulated error for testing cleanup") + + except ValueError as e: + print(f"โœ… Caught simulated error: {e}") + except Exception as e: + print(f"โš ๏ธ Caught unexpected error: {format_error_message(e)}") + finally: + print("๐Ÿงน Testing cleanup...") + try: + await agent.cleanup_agent() + print("โœ… Cleanup completed successfully") + except Exception as e: + print(f"โŒ Cleanup failed: {format_error_message(e)}") + + +async def test_environment_validation(): + """Test environment validation utility.""" + print("\n๐Ÿงช Test 4: Environment Validation") + print("-" * 35) + + # Test with current environment + result = validate_environment() + + if result["valid"]: + print("โœ… Environment validation passed") + if result["warnings"]: + print("โš ๏ธ Warnings:") + for warning in result["warnings"]: + print(f" - {warning}") + else: + print("โŒ Environment validation failed") + print("Missing variables:") + for var in result["missing_vars"]: + print(f" - {var}") + + +async def error_handling_example(): + """Run all error handling tests.""" + print("๐Ÿšจ Error Handling Example") + print("=" * 40) + print("This example demonstrates various error scenarios and how to handle them gracefully.") + + await test_environment_validation() + await test_missing_credentials() + await test_invalid_endpoint() + await test_graceful_cleanup() + + print("\nโœ… Error handling examples completed!") + print("๐Ÿ’ก Key takeaways:") + print(" - Always validate environment variables before starting") + print(" - Use try/except blocks around agent operations") + print(" - Always clean up resources in finally blocks") + print(" - Provide user-friendly error messages") + + +async def main(): + """Main function.""" + setup_logging("ERROR") # Only show errors for cleaner output + await error_handling_example() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/multi_turn.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/multi_turn.py new file mode 100644 index 00000000..ae682c76 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/multi_turn.py @@ -0,0 +1,80 @@ +#!/usr/bin/env python3 +"""Multi-turn conversation example with the Hello World Azure AI Foundry Agent.""" + +import asyncio +import sys +from pathlib import Path + +# Add parent directory to path for imports +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from hello_world_agent.hello_agent import HelloWorldAgent +from hello_world_agent.utils import setup_logging, validate_environment, format_error_message + + +async def multi_turn_example(): + """Demonstrate a multi-turn conversation with the agent.""" + print("๐Ÿ”„ Multi-Turn Conversation Example") + print("=" * 45) + + # Validate environment + env_check = validate_environment() + if not env_check["valid"]: + print("โŒ Environment validation failed:") + for var in env_check["missing_vars"]: + print(f" Missing: {var}") + return + + agent = HelloWorldAgent() + + try: + print("๐Ÿ”ง Creating agent...") + await agent.create_agent() + + print("๐Ÿ’ฌ Creating conversation thread...") + thread = await agent.create_thread() + + # Series of related messages + conversation = [ + "Hello! What's your name?", + "What can you help me with?", + "Can you tell me a fun fact?", + "Thank you for the information!", + "How would you describe yourself in one sentence?" + ] + + print(f"\n๐ŸŽญ Starting conversation with {len(conversation)} messages...") + + for i, message in enumerate(conversation, 1): + print(f"\n--- Turn {i}/{len(conversation)} ---") + print(f"๐Ÿ‘ค User: {message}") + + print("๐Ÿค– Agent is thinking...") + responses = await agent.run_conversation(thread.id, message) + + for response in responses: + print(f"๐Ÿค– Agent: {response}") + + # Add a small delay between messages to make it feel more natural + if i < len(conversation): + await asyncio.sleep(1) + + print("\nโœ… Multi-turn conversation completed successfully!") + print("๐Ÿ’ก Notice how the agent maintains context throughout the conversation.") + + except Exception as e: + error_msg = format_error_message(e) + print(f"\nโŒ Error occurred:\n{error_msg}") + finally: + print("\n๐Ÿงน Cleaning up...") + await agent.cleanup_agent() + + +async def main(): + """Main function.""" + setup_logging("WARNING") # Reduce noise for example + await multi_turn_example() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/simple_chat.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/simple_chat.py new file mode 100644 index 00000000..bfe4c39b --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/examples/simple_chat.py @@ -0,0 +1,64 @@ +#!/usr/bin/env python3 +"""Simple chat example with the Hello World Azure AI Foundry Agent.""" + +import asyncio +import sys +from pathlib import Path + +# Add parent directory to path for imports +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from hello_world_agent.hello_agent import HelloWorldAgent +from hello_world_agent.utils import setup_logging, validate_environment, format_error_message + + +async def simple_chat_example(): + """Demonstrate a simple chat interaction with the agent.""" + print("๐Ÿš€ Simple Chat Example") + print("=" * 40) + + # Validate environment + env_check = validate_environment() + if not env_check["valid"]: + print("โŒ Environment validation failed:") + for var in env_check["missing_vars"]: + print(f" Missing: {var}") + return + + agent = HelloWorldAgent() + + try: + print("๐Ÿ”ง Creating agent...") + await agent.create_agent() + + print("๐Ÿ’ฌ Creating conversation thread...") + thread = await agent.create_thread() + + # Simple interaction + message = "Hello! Can you introduce yourself?" + print(f"\n๐Ÿ‘ค User: {message}") + + print("๐Ÿค– Agent is processing...") + responses = await agent.run_conversation(thread.id, message) + + for response in responses: + print(f"๐Ÿค– Agent: {response}") + + print("\nโœ… Simple chat example completed successfully!") + + except Exception as e: + error_msg = format_error_message(e) + print(f"\nโŒ Error occurred:\n{error_msg}") + finally: + print("\n๐Ÿงน Cleaning up...") + await agent.cleanup_agent() + + +async def main(): + """Main function.""" + setup_logging("WARNING") # Reduce noise for example + await simple_chat_example() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_agent.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_agent.py new file mode 100644 index 00000000..80579083 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_agent.py @@ -0,0 +1,213 @@ +"""Simple Hello World Azure AI Foundry Agent. + +This module provides a minimal example of an Azure AI Foundry agent +that can respond to basic greetings and demonstrate conversation flow. +""" + +import asyncio +import logging +import os +import time +from typing import Any + +from azure.ai.agents import AgentsClient +from azure.ai.agents.models import ( + Agent, + AgentThread, + ListSortOrder, + ThreadMessage, + ThreadRun, +) +from azure.identity import DefaultAzureCredential + + +logger = logging.getLogger(__name__) + + +class HelloWorldAgent: + """A simple Hello World agent using Azure AI Foundry. + + This agent demonstrates the basic structure and functionality + of an Azure AI Foundry agent with minimal complexity. + """ + + def __init__(self) -> None: + """Initialize the Hello World agent.""" + self.endpoint = os.environ["AZURE_AI_FOUNDRY_PROJECT_ENDPOINT"] + self.credential = DefaultAzureCredential() + self.agent: Agent | None = None + self.threads: dict[str, str] = {} + + def _get_client(self) -> AgentsClient: + """Get a new AgentsClient instance.""" + return AgentsClient( + endpoint=self.endpoint, + credential=self.credential, + ) + + async def create_agent(self) -> Agent: + """Create the Hello World agent.""" + if self.agent: + return self.agent + + with self._get_client() as client: + self.agent = client.create_agent( + model=os.environ["AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME"], + name="hello-world-agent", + instructions=self._get_instructions(), + ) + logger.info(f"Created Hello World agent: {self.agent.id}") + return self.agent + + def _get_instructions(self) -> str: + """Get the agent instructions.""" + return """ +You are a friendly Hello World agent powered by Azure AI Foundry. + +Your purpose is to: +- Greet users warmly +- Provide simple, helpful responses +- Demonstrate basic conversation capabilities +- Be encouraging and positive + +Keep your responses concise and friendly. When users say hello, greet them back. +When they ask what you can do, explain that you're a simple demo agent that can +have basic conversations and answer simple questions. + +Always be polite, helpful, and maintain a positive tone. +""" + + async def create_thread(self, thread_id: str | None = None) -> AgentThread: + """Create or retrieve a conversation thread.""" + if thread_id and thread_id in self.threads: + # For simplicity, we'll create a new thread each time + pass + + with self._get_client() as client: + thread = client.threads.create() + self.threads[thread.id] = thread.id + logger.info(f"Created thread: {thread.id}") + return thread + + async def send_message( + self, thread_id: str, content: str, role: str = "user" + ) -> ThreadMessage: + """Send a message to the conversation thread.""" + with self._get_client() as client: + message = client.messages.create( + thread_id=thread_id, role=role, content=content + ) + logger.info(f"Created message in thread {thread_id}: {message.id}") + return message + + async def run_conversation( + self, thread_id: str, user_message: str + ) -> list[str]: + """Run a complete conversation cycle with the agent.""" + if not self.agent: + await self.create_agent() + + # Send user message + await self.send_message(thread_id, user_message) + + # Create and run the agent + with self._get_client() as client: + run = client.runs.create( + thread_id=thread_id, agent_id=self.agent.id + ) + + # Poll until completion + max_iterations = 30 + iterations = 0 + + while ( + run.status in ["queued", "in_progress", "requires_action"] + and iterations < max_iterations + ): + iterations += 1 + time.sleep(1) + run = client.runs.get(thread_id=thread_id, run_id=run.id) + logger.debug(f"Run status: {run.status} (iteration {iterations})") + + if run.status == "failed": + logger.error(f"Run failed during polling: {run.last_error}") + break + + # Note: This simple agent doesn't use tools, so no action handling needed + + if run.status == "failed": + logger.error(f"Run failed: {run.last_error}") + return [f"Error: {run.last_error}"] + + if iterations >= max_iterations: + logger.error(f"Run timed out after {max_iterations} iterations") + return ["Error: Request timed out"] + + # Get response messages + messages = client.messages.list( + thread_id=thread_id, order=ListSortOrder.DESCENDING + ) + + responses = [] + for msg in messages: + if msg.role == "assistant" and msg.text_messages: + for text_msg in msg.text_messages: + responses.append(text_msg.text.value) + break # Only get the latest assistant response + + return responses if responses else ["No response received"] + + async def cleanup_agent(self) -> None: + """Clean up the agent resources.""" + if self.agent: + with self._get_client() as client: + client.delete_agent(self.agent.id) + logger.info(f"Deleted agent: {self.agent.id}") + self.agent = None + + +async def create_hello_world_agent() -> HelloWorldAgent: + """Factory function to create and initialize a Hello World agent.""" + agent = HelloWorldAgent() + await agent.create_agent() + return agent + + +# Example usage for testing +async def demo_interaction() -> None: + """Demo function showing how to use the Hello World agent.""" + # Configure logging + logging.basicConfig(level=logging.INFO) + + agent = await create_hello_world_agent() + + try: + # Create a conversation thread + thread = await agent.create_thread() + + # Example interactions + test_messages = [ + "Hello!", + "What can you do?", + "Tell me a fun fact", + "Thank you!", + ] + + print("๐Ÿค– Hello World Azure AI Foundry Agent Demo") + print("=" * 50) + + for message in test_messages: + print(f"\n๐Ÿ‘ค User: {message}") + responses = await agent.run_conversation(thread.id, message) + for response in responses: + print(f"๐Ÿค– Assistant: {response}") + + except Exception as e: + logger.error(f"Demo failed: {e}") + print(f"โŒ Error: {e}") + finally: + await agent.cleanup_agent() + + +if __name__ == "__main__": + asyncio.run(demo_interaction()) diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/__init__.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/__init__.py new file mode 100644 index 00000000..1876497b --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/__init__.py @@ -0,0 +1,9 @@ +"""Package initialization for Hello World Azure AI Foundry Agent.""" + +__version__ = "0.1.0" +__author__ = "Azure AI Foundry Team" +__description__ = "A simple Hello World Azure AI Foundry agent example" + +from .hello_agent import HelloWorldAgent, create_hello_world_agent + +__all__ = ["HelloWorldAgent", "create_hello_world_agent"] diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/__main__.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/__main__.py new file mode 100644 index 00000000..0c55ab1e --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/__main__.py @@ -0,0 +1,71 @@ +"""Entry point for the Hello World Azure AI Foundry Agent package. + +Run this module to start the Starlette web application. +""" + +import os +import sys + +try: + from dotenv import load_dotenv + load_dotenv() +except ImportError: + print("Warning: python-dotenv not installed. Make sure environment variables are set.") + +from .web_app import run_server +from .utils import validate_environment, print_banner + + +def main() -> None: + """Main entry point for the Hello World agent web app.""" + print_banner() + print("๐Ÿš€ Starting Hello World Azure AI Foundry Agent Web App...") + + # Check if we're in development/demo mode + demo_mode = os.getenv("DEMO_MODE", "false").lower() == "true" + + if not demo_mode: + # Check required environment variables + required_vars = [ + "AZURE_AI_FOUNDRY_PROJECT_ENDPOINT", + "AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME" + ] + + missing_vars = [var for var in required_vars if not os.getenv(var)] + + if missing_vars: + print("โŒ Missing required environment variables:") + for var in missing_vars: + print(f" - {var}") + print("\nPlease set these variables in your .env file or environment.") + print("See .env.template for an example.") + print("\n๐Ÿ’ก To run in demo mode (without Azure connection), set DEMO_MODE=true") + sys.exit(1) + + # Additional validation + env_check = validate_environment() + if env_check["warnings"]: + for warning in env_check["warnings"]: + print(f"โš ๏ธ {warning}") + + print("โœ… Environment validation passed") + else: + print("๐Ÿงช Running in DEMO MODE (no Azure connection required)") + + print("๐ŸŒ Starting web server...") + print("๐Ÿ“ฑ Open your browser to: http://localhost:8000") + print("๐Ÿ›‘ Press Ctrl+C to stop the server") + print() + + try: + # Run the Starlette server + run_server(host="0.0.0.0", port=8000, reload=True) + except KeyboardInterrupt: + print("\n\n๐Ÿ‘‹ Server stopped. Goodbye!") + except Exception as e: + print(f"\nโŒ An error occurred: {e}") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/cli.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/cli.py new file mode 100644 index 00000000..cdd07a66 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/cli.py @@ -0,0 +1,183 @@ +#!/usr/bin/env python3 +"""CLI commands for the Hello World Azure AI Foundry Agent.""" + +import argparse +import asyncio +import sys +from pathlib import Path + +# Add the current directory to the Python path +sys.path.insert(0, str(Path(__file__).parent)) + +from .web_app import run_server +from .hello_agent import demo_interaction +from .utils import validate_environment, print_banner, get_system_info + + +def cmd_web(args): + """Run the web server.""" + print_banner() + print("๐ŸŒ Starting web server...") + + env_check = validate_environment() + if not env_check["valid"]: + print("โŒ Environment validation failed:") + for var in env_check["missing_vars"]: + print(f" Missing: {var}") + return 1 + + print(f"๐Ÿ“ฑ Server will be available at: http://localhost:{args.port}") + print("๐Ÿ›‘ Press Ctrl+C to stop the server") + + try: + run_server( + host=args.host, + port=args.port, + reload=args.reload + ) + except KeyboardInterrupt: + print("\n๐Ÿ‘‹ Server stopped") + except Exception as e: + print(f"โŒ Error: {e}") + return 1 + + return 0 + + +async def cmd_console(args): + """Run the console demo.""" + print_banner() + print("๐Ÿ’ฌ Starting console demo...") + + env_check = validate_environment() + if not env_check["valid"]: + print("โŒ Environment validation failed:") + for var in env_check["missing_vars"]: + print(f" Missing: {var}") + return 1 + + try: + await demo_interaction() + except KeyboardInterrupt: + print("\n๐Ÿ‘‹ Demo stopped") + except Exception as e: + print(f"โŒ Error: {e}") + return 1 + + return 0 + + +def cmd_check(args): + """Check environment and system information.""" + print_banner() + print("๐Ÿ” Environment Check") + print("=" * 40) + + # Environment validation + env_check = validate_environment() + + if env_check["valid"]: + print("โœ… Environment validation: PASSED") + else: + print("โŒ Environment validation: FAILED") + print("\nMissing variables:") + for var in env_check["missing_vars"]: + print(f" - {var}") + + if env_check["warnings"]: + print("\nโš ๏ธ Warnings:") + for warning in env_check["warnings"]: + print(f" - {warning}") + + # System information + if args.verbose: + print("\n๐Ÿ“‹ System Information") + print("-" * 25) + sys_info = get_system_info() + for key, value in sys_info.items(): + print(f"{key.replace('_', ' ').title()}: {value}") + + return 0 if env_check["valid"] else 1 + + +def cmd_info(args): + """Show application information.""" + print_banner() + print("๐Ÿ“š Application Information") + print("=" * 40) + + print("๐Ÿค– Hello World Azure AI Foundry Agent") + print("๐Ÿ“ A simple example demonstrating Azure AI Foundry agent capabilities") + print() + + print("Available commands:") + print(" web - Start the web interface (default)") + print(" console - Run the console demo") + print(" check - Check environment and configuration") + print(" info - Show this information") + print() + + print("Examples:") + print(" python cli.py web --port 3000") + print(" python cli.py console") + print(" python cli.py check --verbose") + print() + + print("Environment variables required:") + print(" AZURE_AI_FOUNDRY_PROJECT_ENDPOINT") + print(" AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME") + + return 0 + + +def main(): + """Main CLI entry point.""" + parser = argparse.ArgumentParser( + description="Hello World Azure AI Foundry Agent CLI", + formatter_class=argparse.RawDescriptionHelpFormatter + ) + + subparsers = parser.add_subparsers(dest="command", help="Available commands") + + # Web command + web_parser = subparsers.add_parser("web", help="Start the web server") + web_parser.add_argument("--host", default="0.0.0.0", help="Host to bind to") + web_parser.add_argument("--port", type=int, default=8000, help="Port to bind to") + web_parser.add_argument("--reload", action="store_true", help="Enable auto-reload") + web_parser.set_defaults(func=cmd_web) + + # Console command + console_parser = subparsers.add_parser("console", help="Run console demo") + console_parser.set_defaults(func=lambda args: asyncio.run(cmd_console(args))) + + # Check command + check_parser = subparsers.add_parser("check", help="Check environment") + check_parser.add_argument("--verbose", "-v", action="store_true", help="Show detailed information") + check_parser.set_defaults(func=cmd_check) + + # Info command + info_parser = subparsers.add_parser("info", help="Show application information") + info_parser.set_defaults(func=cmd_info) + + # Parse arguments + args = parser.parse_args() + + # Default to web if no command specified + if not args.command: + args.command = "web" + args.host = "0.0.0.0" + args.port = 8000 + args.reload = False + args.func = cmd_web + + # Run the command + try: + exit_code = args.func(args) + sys.exit(exit_code or 0) + except Exception as e: + print(f"โŒ Unexpected error: {e}") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/client.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/client.py new file mode 100644 index 00000000..2d2859c8 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/client.py @@ -0,0 +1,112 @@ +"""Simple client for testing the Hello World Azure AI Foundry Agent.""" + +import asyncio +import logging +import os +import sys +from pathlib import Path + +# Add the current directory to the Python path +sys.path.insert(0, str(Path(__file__).parent)) + +try: + from dotenv import load_dotenv + load_dotenv() +except ImportError: + pass + +from .hello_agent import HelloWorldAgent + + +async def interactive_client() -> None: + """Interactive client for chatting with the Hello World agent.""" + logging.basicConfig(level=logging.WARNING) # Reduce noise in interactive mode + + print("๐Ÿค– Hello World Azure AI Foundry Agent - Interactive Client") + print("=" * 60) + print("Type 'quit', 'exit', or press Ctrl+C to end the conversation.") + print() + + agent = HelloWorldAgent() + + try: + await agent.create_agent() + thread = await agent.create_thread() + + print("โœ… Agent initialized successfully!") + print("๐Ÿ”„ You can now start chatting with the agent.") + print() + + while True: + try: + user_input = input("๐Ÿ‘ค You: ").strip() + + if user_input.lower() in ['quit', 'exit', 'q']: + break + + if not user_input: + continue + + print("๐Ÿค– Agent is thinking...") + responses = await agent.run_conversation(thread.id, user_input) + + for response in responses: + print(f"๐Ÿค– Agent: {response}") + print() + + except KeyboardInterrupt: + break + + except Exception as e: + print(f"โŒ Error: {e}") + finally: + print("\n๐Ÿงน Cleaning up...") + await agent.cleanup_agent() + print("๐Ÿ‘‹ Goodbye!") + + +async def batch_client(messages: list[str]) -> None: + """Batch client for testing multiple messages.""" + logging.basicConfig(level=logging.INFO) + + print("๐Ÿค– Hello World Azure AI Foundry Agent - Batch Client") + print("=" * 60) + + agent = HelloWorldAgent() + + try: + await agent.create_agent() + thread = await agent.create_thread() + + for i, message in enumerate(messages, 1): + print(f"\n๐Ÿ“ Message {i}/{len(messages)}: {message}") + responses = await agent.run_conversation(thread.id, message) + + for response in responses: + print(f"๐Ÿค– Response: {response}") + + except Exception as e: + print(f"โŒ Error: {e}") + finally: + await agent.cleanup_agent() + + +async def main() -> None: + """Main function to choose between interactive and batch mode.""" + if len(sys.argv) > 1 and sys.argv[1] == "batch": + # Batch mode with predefined messages + test_messages = [ + "Hello there!", + "What can you help me with?", + "Tell me something interesting", + "How are you today?", + "Thank you for the chat!" + ] + await batch_client(test_messages) + else: + # Interactive mode + await interactive_client() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/hello_agent.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/hello_agent.py new file mode 100644 index 00000000..80579083 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/hello_agent.py @@ -0,0 +1,213 @@ +"""Simple Hello World Azure AI Foundry Agent. + +This module provides a minimal example of an Azure AI Foundry agent +that can respond to basic greetings and demonstrate conversation flow. +""" + +import asyncio +import logging +import os +import time +from typing import Any + +from azure.ai.agents import AgentsClient +from azure.ai.agents.models import ( + Agent, + AgentThread, + ListSortOrder, + ThreadMessage, + ThreadRun, +) +from azure.identity import DefaultAzureCredential + + +logger = logging.getLogger(__name__) + + +class HelloWorldAgent: + """A simple Hello World agent using Azure AI Foundry. + + This agent demonstrates the basic structure and functionality + of an Azure AI Foundry agent with minimal complexity. + """ + + def __init__(self) -> None: + """Initialize the Hello World agent.""" + self.endpoint = os.environ["AZURE_AI_FOUNDRY_PROJECT_ENDPOINT"] + self.credential = DefaultAzureCredential() + self.agent: Agent | None = None + self.threads: dict[str, str] = {} + + def _get_client(self) -> AgentsClient: + """Get a new AgentsClient instance.""" + return AgentsClient( + endpoint=self.endpoint, + credential=self.credential, + ) + + async def create_agent(self) -> Agent: + """Create the Hello World agent.""" + if self.agent: + return self.agent + + with self._get_client() as client: + self.agent = client.create_agent( + model=os.environ["AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME"], + name="hello-world-agent", + instructions=self._get_instructions(), + ) + logger.info(f"Created Hello World agent: {self.agent.id}") + return self.agent + + def _get_instructions(self) -> str: + """Get the agent instructions.""" + return """ +You are a friendly Hello World agent powered by Azure AI Foundry. + +Your purpose is to: +- Greet users warmly +- Provide simple, helpful responses +- Demonstrate basic conversation capabilities +- Be encouraging and positive + +Keep your responses concise and friendly. When users say hello, greet them back. +When they ask what you can do, explain that you're a simple demo agent that can +have basic conversations and answer simple questions. + +Always be polite, helpful, and maintain a positive tone. +""" + + async def create_thread(self, thread_id: str | None = None) -> AgentThread: + """Create or retrieve a conversation thread.""" + if thread_id and thread_id in self.threads: + # For simplicity, we'll create a new thread each time + pass + + with self._get_client() as client: + thread = client.threads.create() + self.threads[thread.id] = thread.id + logger.info(f"Created thread: {thread.id}") + return thread + + async def send_message( + self, thread_id: str, content: str, role: str = "user" + ) -> ThreadMessage: + """Send a message to the conversation thread.""" + with self._get_client() as client: + message = client.messages.create( + thread_id=thread_id, role=role, content=content + ) + logger.info(f"Created message in thread {thread_id}: {message.id}") + return message + + async def run_conversation( + self, thread_id: str, user_message: str + ) -> list[str]: + """Run a complete conversation cycle with the agent.""" + if not self.agent: + await self.create_agent() + + # Send user message + await self.send_message(thread_id, user_message) + + # Create and run the agent + with self._get_client() as client: + run = client.runs.create( + thread_id=thread_id, agent_id=self.agent.id + ) + + # Poll until completion + max_iterations = 30 + iterations = 0 + + while ( + run.status in ["queued", "in_progress", "requires_action"] + and iterations < max_iterations + ): + iterations += 1 + time.sleep(1) + run = client.runs.get(thread_id=thread_id, run_id=run.id) + logger.debug(f"Run status: {run.status} (iteration {iterations})") + + if run.status == "failed": + logger.error(f"Run failed during polling: {run.last_error}") + break + + # Note: This simple agent doesn't use tools, so no action handling needed + + if run.status == "failed": + logger.error(f"Run failed: {run.last_error}") + return [f"Error: {run.last_error}"] + + if iterations >= max_iterations: + logger.error(f"Run timed out after {max_iterations} iterations") + return ["Error: Request timed out"] + + # Get response messages + messages = client.messages.list( + thread_id=thread_id, order=ListSortOrder.DESCENDING + ) + + responses = [] + for msg in messages: + if msg.role == "assistant" and msg.text_messages: + for text_msg in msg.text_messages: + responses.append(text_msg.text.value) + break # Only get the latest assistant response + + return responses if responses else ["No response received"] + + async def cleanup_agent(self) -> None: + """Clean up the agent resources.""" + if self.agent: + with self._get_client() as client: + client.delete_agent(self.agent.id) + logger.info(f"Deleted agent: {self.agent.id}") + self.agent = None + + +async def create_hello_world_agent() -> HelloWorldAgent: + """Factory function to create and initialize a Hello World agent.""" + agent = HelloWorldAgent() + await agent.create_agent() + return agent + + +# Example usage for testing +async def demo_interaction() -> None: + """Demo function showing how to use the Hello World agent.""" + # Configure logging + logging.basicConfig(level=logging.INFO) + + agent = await create_hello_world_agent() + + try: + # Create a conversation thread + thread = await agent.create_thread() + + # Example interactions + test_messages = [ + "Hello!", + "What can you do?", + "Tell me a fun fact", + "Thank you!", + ] + + print("๐Ÿค– Hello World Azure AI Foundry Agent Demo") + print("=" * 50) + + for message in test_messages: + print(f"\n๐Ÿ‘ค User: {message}") + responses = await agent.run_conversation(thread.id, message) + for response in responses: + print(f"๐Ÿค– Assistant: {response}") + + except Exception as e: + logger.error(f"Demo failed: {e}") + print(f"โŒ Error: {e}") + finally: + await agent.cleanup_agent() + + +if __name__ == "__main__": + asyncio.run(demo_interaction()) diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/mock_agent.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/mock_agent.py new file mode 100644 index 00000000..6357bbb4 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/mock_agent.py @@ -0,0 +1,94 @@ +"""Mock agent for demo mode when Azure credentials are not available.""" + +import asyncio +import logging +import random +from typing import List + +logger = logging.getLogger(__name__) + + +class MockAgent: + """Mock agent that simulates Azure AI Foundry agent responses.""" + + def __init__(self): + self.agent_id = "mock-agent-123" + self.threads = {} + self.responses = [ + "Hello! I'm a mock Azure AI Foundry agent. This is just a demo mode.", + "I can help you understand how the interface works without needing Azure credentials.", + "In real mode, I would be powered by Azure AI Foundry and could handle complex conversations.", + "Try asking me different questions to see various response patterns!", + "This demo shows the real-time WebSocket communication and UI features.", + "When you have Azure credentials configured, I'll be much more intelligent!", + "I can simulate typing delays and multiple response patterns.", + "The web interface supports markdown, emojis, and real-time updates! ๐Ÿš€", + "This is a great way to test the user interface before connecting to Azure.", + "Thanks for trying out the Hello World Azure AI Foundry Agent demo!" + ] + self.question_responses = { + "hello": "Hello there! Welcome to the demo mode! ๐Ÿ‘‹", + "help": "I'm a demo agent. I can show you how the interface works without Azure credentials.", + "what": "I'm a mock version of an Azure AI Foundry agent, running in demo mode.", + "how": "This demo uses mock responses to simulate real agent behavior.", + "demo": "Yes, this is demo mode! No Azure credentials required. ๐ŸŽญ", + "test": "Testing successful! The interface is working perfectly. โœ…", + "thank": "You're welcome! I'm happy to help demonstrate the capabilities! ๐Ÿ˜Š", + "bye": "Goodbye! Thanks for trying the demo. Have a great day! ๐Ÿ‘‹" + } + + async def create_agent(self): + """Mock agent creation.""" + logger.info("Created mock agent in demo mode") + return self + + async def create_thread(self, thread_id: str = None): + """Mock thread creation.""" + mock_thread = type('MockThread', (), {'id': f'mock-thread-{len(self.threads)}'})() + self.threads[mock_thread.id] = mock_thread.id + logger.info(f"Created mock thread: {mock_thread.id}") + return mock_thread + + async def run_conversation(self, thread_id: str, user_message: str) -> List[str]: + """Mock conversation with simulated delay.""" + # Simulate thinking time + await asyncio.sleep(random.uniform(1, 3)) + + # Choose response based on user message + user_lower = user_message.lower() + response = None + + # Check for keyword matches + for keyword, preset_response in self.question_responses.items(): + if keyword in user_lower: + response = preset_response + break + + # If no keyword match, use a random response + if not response: + response = random.choice(self.responses) + + # Sometimes add a follow-up response + responses = [response] + if random.random() < 0.3: # 30% chance of follow-up + follow_ups = [ + "Is there anything else you'd like to know about the demo?", + "Feel free to ask me more questions!", + "The real agent would be even more helpful with Azure AI!", + "Try different types of messages to see various responses!" + ] + responses.append(random.choice(follow_ups)) + + logger.info(f"Mock agent responded to: {user_message[:50]}...") + return responses + + async def cleanup_agent(self): + """Mock cleanup.""" + logger.info("Mock agent cleanup completed") + + +async def create_mock_agent(): + """Factory function to create a mock agent.""" + agent = MockAgent() + await agent.create_agent() + return agent diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/static/style.css b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/static/style.css new file mode 100644 index 00000000..6516dd2c --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/static/style.css @@ -0,0 +1,130 @@ +/* Additional styles for the Hello World Agent web interface */ + +/* Smooth scrolling for messages */ +.messages { + scroll-behavior: smooth; +} + +/* Enhanced focus states */ +.message-input:focus { + box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.1); +} + +/* Button hover effects */ +.send-button { + transition: all 0.3s ease; +} + +.send-button:hover:not(:disabled) { + transform: scale(1.05); + box-shadow: 0 4px 12px rgba(102, 126, 234, 0.3); +} + +/* Message animations */ +.message { + animation: slideIn 0.3s ease-out; +} + +@keyframes slideIn { + from { + opacity: 0; + transform: translateY(10px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +/* Status bar animations */ +.status { + transition: all 0.3s ease; +} + +.status.hidden { + opacity: 0; + height: 0; + padding: 0; +} + +/* Loading spinner for connection states */ +.loading { + display: inline-block; + width: 12px; + height: 12px; + border: 2px solid #f3f3f3; + border-top: 2px solid #667eea; + border-radius: 50%; + animation: spin 1s linear infinite; + margin-right: 8px; +} + +@keyframes spin { + 0% { transform: rotate(0deg); } + 100% { transform: rotate(360deg); } +} + +/* Responsive improvements */ +@media (max-width: 480px) { + .header h1 { + font-size: 20px; + } + + .header p { + font-size: 12px; + } + + .message-avatar { + width: 32px; + height: 32px; + font-size: 14px; + } + + .message-content { + padding: 10px 14px; + font-size: 14px; + } +} + +/* Dark mode support */ +@media (prefers-color-scheme: dark) { + body { + background: linear-gradient(135deg, #2d3748 0%, #4a5568 100%); + } + + .container { + background: #1a202c; + color: #e2e8f0; + } + + .message-content { + background: #2d3748; + color: #e2e8f0; + } + + .message.user .message-content { + background: #667eea; + color: white; + } + + .message.agent .message-avatar { + background: #2d3748; + color: #e2e8f0; + } + + .input-container { + background: #2d3748; + border-top-color: #4a5568; + } + + .message-input { + background: #1a202c; + color: #e2e8f0; + border-color: #4a5568; + } + + .message-input:focus { + border-color: #667eea; + box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.2); + } +} diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/templates/index.html b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/templates/index.html new file mode 100644 index 00000000..7ba623e5 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/templates/index.html @@ -0,0 +1,476 @@ + + + + + + Hello World Azure AI Foundry Agent + + + + + +
+
+

๐Ÿค– Hello World Azure AI Foundry Agent

+

A simple example demonstrating Azure AI Foundry agent capabilities

+
+ +
+ Connecting to agent... +
+ +
+
+ +
+ +
+
+ + +
+
+
+
+ + + + diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/utils.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/utils.py new file mode 100644 index 00000000..beaa9bbc --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/utils.py @@ -0,0 +1,126 @@ +"""Utilities for the Hello World Azure AI Foundry Agent.""" + +import logging +import os +from typing import Dict, Any + + +def setup_logging(level: str = "INFO") -> None: + """Setup logging configuration. + + Args: + level: Logging level (DEBUG, INFO, WARNING, ERROR) + """ + log_level = getattr(logging, level.upper(), logging.INFO) + logging.basicConfig( + level=log_level, + format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', + datefmt='%Y-%m-%d %H:%M:%S' + ) + + +def validate_environment() -> Dict[str, Any]: + """Validate that required environment variables are set. + + Returns: + Dict with validation results + """ + required_vars = [ + "AZURE_AI_FOUNDRY_PROJECT_ENDPOINT", + "AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME" + ] + + results = { + "valid": True, + "missing_vars": [], + "warnings": [] + } + + for var in required_vars: + if not os.getenv(var): + results["valid"] = False + results["missing_vars"].append(var) + + # Check optional variables + optional_vars = [ + "AZURE_CLIENT_ID", + "AZURE_CLIENT_SECRET", + "AZURE_TENANT_ID" + ] + + auth_vars_set = sum(1 for var in optional_vars if os.getenv(var)) + if 0 < auth_vars_set < len(optional_vars): + results["warnings"].append( + "Some Azure authentication variables are set but not all. " + "Make sure you have either all three (client ID, secret, tenant ID) " + "or none (to use default Azure credential)." + ) + + return results + + +def format_error_message(error: Exception) -> str: + """Format error messages in a user-friendly way. + + Args: + error: The exception to format + + Returns: + Formatted error message + """ + error_type = type(error).__name__ + error_msg = str(error) + + # Common error types and user-friendly messages + error_mappings = { + "ClientAuthenticationError": ( + "Authentication failed. Please check your Azure credentials. " + "Make sure you're logged in with 'az login' or have set the correct " + "environment variables." + ), + "ResourceNotFoundError": ( + "Resource not found. Please check your Azure AI Foundry project " + "endpoint and model deployment name." + ), + "HttpResponseError": ( + "HTTP error occurred. This might be a temporary issue or a " + "configuration problem." + ), + } + + if error_type in error_mappings: + return f"{error_mappings[error_type]}\n\nOriginal error: {error_msg}" + + return f"{error_type}: {error_msg}" + + +def print_banner() -> None: + """Print a nice banner for the application.""" + banner = """ + โ•”โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•— + โ•‘ โ•‘ + โ•‘ Hello World Azure AI Foundry Agent โ•‘ + โ•‘ โ•‘ + โ•‘ A simple example demonstrating Azure AI Foundry โ•‘ + โ•‘ agent capabilities with minimal complexity โ•‘ + โ•‘ โ•‘ + โ•šโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• + """ + print(banner) + + +def get_system_info() -> Dict[str, str]: + """Get system information for debugging. + + Returns: + Dictionary with system information + """ + import sys + import platform + + return { + "python_version": sys.version, + "platform": platform.platform(), + "architecture": platform.architecture()[0], + "machine": platform.machine(), + } diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/web_app.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/web_app.py new file mode 100644 index 00000000..028c83de --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/hello_world_agent/web_app.py @@ -0,0 +1,353 @@ +"""Starlette web application for the Hello World Azure AI Foundry Agent.""" + +import asyncio +import json +import logging +import os +import uuid +from pathlib import Path +from typing import Dict, Any + +from starlette.applications import Starlette +from starlette.middleware import Middleware +from starlette.middleware.cors import CORSMiddleware +from starlette.responses import HTMLResponse, JSONResponse, StreamingResponse +from starlette.routing import Route, WebSocketRoute +from starlette.staticfiles import StaticFiles +from starlette.templating import Jinja2Templates +from starlette.websockets import WebSocket +import uvicorn + +try: + from dotenv import load_dotenv + load_dotenv() +except ImportError: + pass + +from .hello_agent import HelloWorldAgent +from .mock_agent import create_mock_agent +from .utils import validate_environment, format_error_message + + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Check if we're in demo mode +DEMO_MODE = os.getenv("DEMO_MODE", "false").lower() == "true" + +# Global storage for agents and sessions +active_agents: Dict[str, HelloWorldAgent] = {} +active_sessions: Dict[str, str] = {} # session_id -> thread_id + +# Templates +templates = Jinja2Templates(directory=str(Path(__file__).parent / "templates")) + + +async def homepage(request): + """Serve the main chat interface.""" + return templates.TemplateResponse("index.html", {"request": request}) + + +async def health_check(request): + """Health check endpoint.""" + if DEMO_MODE: + return JSONResponse({ + "status": "healthy", + "mode": "demo", + "message": "Running in demo mode - no Azure credentials required" + }) + + env_check = validate_environment() + + return JSONResponse({ + "status": "healthy" if env_check["valid"] else "unhealthy", + "mode": "azure", + "environment_valid": env_check["valid"], + "missing_vars": env_check.get("missing_vars", []), + "warnings": env_check.get("warnings", []) + }) + + +async def create_session(request): + """Create a new chat session.""" + try: + session_id = str(uuid.uuid4()) + + # Create appropriate agent based on mode + if DEMO_MODE: + agent = await create_mock_agent() + else: + agent = HelloWorldAgent() + await agent.create_agent() + + # Create a conversation thread + thread = await agent.create_thread() + + # Store the agent and session + active_agents[session_id] = agent + active_sessions[session_id] = thread.id + + logger.info(f"Created new session: {session_id} ({'demo' if DEMO_MODE else 'azure'} mode)") + + return JSONResponse({ + "session_id": session_id, + "thread_id": thread.id, + "status": "created", + "mode": "demo" if DEMO_MODE else "azure" + }) + + except Exception as e: + logger.error(f"Error creating session: {e}") + return JSONResponse({ + "error": format_error_message(e) + }, status_code=500) + + +async def send_message(request): + """Send a message to the agent.""" + try: + data = await request.json() + session_id = data.get("session_id") + message = data.get("message", "").strip() + + if not session_id or session_id not in active_agents: + return JSONResponse({ + "error": "Invalid or expired session" + }, status_code=400) + + if not message: + return JSONResponse({ + "error": "Message cannot be empty" + }, status_code=400) + + agent = active_agents[session_id] + thread_id = active_sessions[session_id] + + # Send message and get response + responses = await agent.run_conversation(thread_id, message) + + return JSONResponse({ + "responses": responses, + "session_id": session_id + }) + + except Exception as e: + logger.error(f"Error sending message: {e}") + return JSONResponse({ + "error": format_error_message(e) + }, status_code=500) + + +async def delete_session(request): + """Delete a chat session and cleanup resources.""" + try: + data = await request.json() + session_id = data.get("session_id") + + if session_id and session_id in active_agents: + # Cleanup agent + agent = active_agents[session_id] + await agent.cleanup_agent() + + # Remove from storage + del active_agents[session_id] + del active_sessions[session_id] + + logger.info(f"Deleted session: {session_id}") + + return JSONResponse({ + "status": "deleted", + "session_id": session_id + }) + else: + return JSONResponse({ + "error": "Session not found" + }, status_code=404) + + except Exception as e: + logger.error(f"Error deleting session: {e}") + return JSONResponse({ + "error": format_error_message(e) + }, status_code=500) + + +async def websocket_endpoint(websocket: WebSocket): + """WebSocket endpoint for real-time chat.""" + await websocket.accept() + session_id = None + + try: + while True: + data = await websocket.receive_json() + action = data.get("action") + + if action == "create_session": + # Create new session + session_id = str(uuid.uuid4()) + + if DEMO_MODE: + agent = await create_mock_agent() + else: + agent = HelloWorldAgent() + await agent.create_agent() + + thread = await agent.create_thread() + + active_agents[session_id] = agent + active_sessions[session_id] = thread.id + + await websocket.send_json({ + "type": "session_created", + "session_id": session_id, + "thread_id": thread.id, + "mode": "demo" if DEMO_MODE else "azure" + }) + + elif action == "send_message": + message = data.get("message", "").strip() + session_id = data.get("session_id") + + if not session_id or session_id not in active_agents: + await websocket.send_json({ + "type": "error", + "message": "Invalid session" + }) + continue + + if not message: + await websocket.send_json({ + "type": "error", + "message": "Message cannot be empty" + }) + continue + + # Send typing indicator + await websocket.send_json({ + "type": "typing", + "message": "Agent is thinking..." + }) + + # Get agent response + agent = active_agents[session_id] + thread_id = active_sessions[session_id] + responses = await agent.run_conversation(thread_id, message) + + # Send response + await websocket.send_json({ + "type": "message", + "responses": responses, + "session_id": session_id + }) + + except Exception as e: + logger.error(f"WebSocket error: {e}") + await websocket.send_json({ + "type": "error", + "message": format_error_message(e) + }) + finally: + # Cleanup session if it exists + if session_id and session_id in active_agents: + try: + agent = active_agents[session_id] + await agent.cleanup_agent() + del active_agents[session_id] + del active_sessions[session_id] + logger.info(f"Cleaned up WebSocket session: {session_id}") + except Exception as e: + logger.error(f"Error cleaning up WebSocket session: {e}") + + +# Define routes +routes = [ + Route("/", homepage), + Route("/health", health_check), + Route("/api/session", create_session, methods=["POST"]), + Route("/api/message", send_message, methods=["POST"]), + Route("/api/session/delete", delete_session, methods=["POST"]), + WebSocketRoute("/ws", websocket_endpoint), +] + +# Middleware +middleware = [ + Middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) +] + +# Create the Starlette application +app = Starlette(debug=True, routes=routes, middleware=middleware) + +# Mount static files (if directory exists) +static_dir = Path(__file__).parent / "static" +if static_dir.exists(): + app.mount("/static", StaticFiles(directory=str(static_dir)), name="static") +else: + logger.warning("Static directory not found, skipping static file mounting") + + +async def startup(): + """Application startup event.""" + logger.info("๐Ÿš€ Hello World Azure AI Foundry Agent - Starlette App Starting...") + + if DEMO_MODE: + logger.info("๐Ÿงช Running in DEMO MODE - no Azure credentials required") + logger.info("โœ… Demo mode ready") + else: + # Validate environment in Azure mode + env_check = validate_environment() + if not env_check["valid"]: + logger.error("โŒ Environment validation failed:") + for var in env_check["missing_vars"]: + logger.error(f" Missing: {var}") + raise ValueError("Missing required environment variables") + + if env_check["warnings"]: + for warning in env_check["warnings"]: + logger.warning(f"โš ๏ธ {warning}") + + logger.info("โœ… Environment validation passed") + + logger.info("๐ŸŒ Server ready at http://localhost:8000") + + +async def shutdown(): + """Application shutdown event.""" + logger.info("๐Ÿงน Cleaning up active sessions...") + + # Cleanup all active agents + for session_id, agent in list(active_agents.items()): + try: + await agent.cleanup_agent() + logger.info(f"Cleaned up session: {session_id}") + except Exception as e: + logger.error(f"Error cleaning up session {session_id}: {e}") + + active_agents.clear() + active_sessions.clear() + logger.info("๐Ÿ‘‹ Shutdown complete") + + +# Add event handlers +app.add_event_handler("startup", startup) +app.add_event_handler("shutdown", shutdown) + + +def run_server(host: str = "0.0.0.0", port: int = 8000, reload: bool = False): + """Run the Starlette server.""" + uvicorn.run( + "web_app:app", + host=host, + port=port, + reload=reload, + log_level="info" + ) + + +if __name__ == "__main__": + run_server(reload=True) diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/pyproject.toml b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/pyproject.toml new file mode 100644 index 00000000..825cd0a8 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/pyproject.toml @@ -0,0 +1,45 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "hello-world-foundry-agent" +version = "0.1.0" +description = "A simple Hello World Azure AI Foundry agent example" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "azure-ai-agents>=1.0.0b1", + "azure-identity>=1.15.0", + "python-dotenv>=1.0.0", + "starlette>=0.37.0", + "uvicorn[standard]>=0.27.0", + "jinja2>=3.1.0", + "websockets>=12.0", +] + +[tool.hatch.build.targets.wheel] +packages = ["hello_world_agent"] + +[project.optional-dependencies] +dev = [ + "pytest>=7.0.0", + "pytest-asyncio>=0.21.0", + "black>=23.0.0", + "isort>=5.12.0", + "mypy>=1.5.0", +] + +[tool.black] +line-length = 88 +target-version = ['py311'] + +[tool.isort] +profile = "black" +line_length = 88 + +[tool.mypy] +python_version = "3.11" +warn_return_any = true +warn_unused_configs = true +disallow_untyped_defs = true diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/setup.sh b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/setup.sh new file mode 100755 index 00000000..1580c674 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/setup.sh @@ -0,0 +1,47 @@ +#!/bin/bash + +# Setup script for Hello World Azure AI Foundry Agent + +set -e + +echo "๐Ÿš€ Setting up Hello World Azure AI Foundry Agent..." + +# Check if Python 3.11+ is installed +python_version=$(python3 --version 2>&1 | awk '{print $2}' | cut -d. -f1,2) +required_version="3.11" + +if [ "$(printf '%s\n' "$required_version" "$python_version" | sort -V | head -n1)" = "$required_version" ]; then + echo "โœ… Python $python_version is compatible (>= 3.11)" +else + echo "โŒ Python 3.11+ required. Found: $python_version" + exit 1 +fi + +# Check if uv is installed, if not suggest pip +if command -v uv &> /dev/null; then + echo "๐Ÿ“ฆ Installing dependencies with uv..." + uv sync + echo "โœ… Dependencies installed with uv" +else + echo "๐Ÿ“ฆ uv not found, using pip..." + python3 -m pip install -e . + echo "โœ… Dependencies installed with pip" +fi + +# Create .env file if it doesn't exist +if [ ! -f .env ]; then + echo "๐Ÿ“ Creating .env file from template..." + cp .env.template .env + echo "โš ๏ธ Please edit .env file with your Azure AI Foundry credentials" +else + echo "โœ… .env file already exists" +fi + +echo "" +echo "๐ŸŽ‰ Setup complete!" +echo "" +echo "Next steps:" +echo "1. Edit .env file with your Azure AI Foundry credentials" +echo "2. Run the agent: python -m hello_world_agent" +echo "3. Or run interactive client: python client.py" +echo "" diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/tests/__init__.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/tests/__init__.py new file mode 100644 index 00000000..09714024 --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/tests/__init__.py @@ -0,0 +1 @@ +# Empty file to make tests directory a Python package diff --git a/samples/python/agents/azureaifoundry_sdk/hello_world_agent/tests/test_hello_agent.py b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/tests/test_hello_agent.py new file mode 100644 index 00000000..be98634a --- /dev/null +++ b/samples/python/agents/azureaifoundry_sdk/hello_world_agent/tests/test_hello_agent.py @@ -0,0 +1,134 @@ +"""Tests for the Hello World Azure AI Foundry Agent.""" + +import os +import pytest +import asyncio +from unittest.mock import Mock, patch, AsyncMock +import sys +from pathlib import Path + +# Add the parent directory to the Python path for imports +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from hello_world_agent.hello_agent import HelloWorldAgent + + +class TestHelloWorldAgent: + """Test cases for the HelloWorldAgent.""" + + @pytest.fixture + def mock_env_vars(self): + """Mock environment variables for testing.""" + with patch.dict(os.environ, { + 'AZURE_AI_FOUNDRY_PROJECT_ENDPOINT': 'https://test-endpoint.com/', + 'AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME': 'test-model' + }): + yield + + @pytest.fixture + def agent(self, mock_env_vars): + """Create a HelloWorldAgent instance for testing.""" + return HelloWorldAgent() + + def test_init(self, agent): + """Test agent initialization.""" + assert agent.endpoint == 'https://test-endpoint.com/' + assert agent.agent is None + assert agent.threads == {} + + def test_get_instructions(self, agent): + """Test that instructions are properly formatted.""" + instructions = agent._get_instructions() + assert isinstance(instructions, str) + assert len(instructions) > 0 + assert "Hello World agent" in instructions + assert "friendly" in instructions.lower() + + @patch('hello_agent.AgentsClient') + @patch('hello_agent.DefaultAzureCredential') + async def test_create_agent(self, mock_credential, mock_client_class, agent): + """Test agent creation.""" + # Mock the client and its methods + mock_client = Mock() + mock_agent = Mock() + mock_agent.id = 'test-agent-id' + mock_client.create_agent.return_value = mock_agent + mock_client_class.return_value.__enter__.return_value = mock_client + + # Create the agent + result = await agent.create_agent() + + # Verify the result + assert result == mock_agent + assert agent.agent == mock_agent + mock_client.create_agent.assert_called_once() + + @patch('hello_agent.AgentsClient') + @patch('hello_agent.DefaultAzureCredential') + async def test_create_thread(self, mock_credential, mock_client_class, agent): + """Test thread creation.""" + # Mock the client and its methods + mock_client = Mock() + mock_thread = Mock() + mock_thread.id = 'test-thread-id' + mock_client.threads.create.return_value = mock_thread + mock_client_class.return_value.__enter__.return_value = mock_client + + # Create the thread + result = await agent.create_thread() + + # Verify the result + assert result == mock_thread + assert 'test-thread-id' in agent.threads + mock_client.threads.create.assert_called_once() + + @patch('hello_agent.AgentsClient') + @patch('hello_agent.DefaultAzureCredential') + async def test_send_message(self, mock_credential, mock_client_class, agent): + """Test sending a message.""" + # Mock the client and its methods + mock_client = Mock() + mock_message = Mock() + mock_message.id = 'test-message-id' + mock_client.messages.create.return_value = mock_message + mock_client_class.return_value.__enter__.return_value = mock_client + + # Send a message + result = await agent.send_message('test-thread-id', 'Hello!') + + # Verify the result + assert result == mock_message + mock_client.messages.create.assert_called_once_with( + thread_id='test-thread-id', + role='user', + content='Hello!' + ) + + @pytest.mark.asyncio + async def test_cleanup_agent_no_agent(self, agent): + """Test cleanup when no agent exists.""" + # This should not raise an exception + await agent.cleanup_agent() + assert agent.agent is None + + +class TestAgentIntegration: + """Integration tests for the agent (require actual Azure credentials).""" + + @pytest.mark.integration + @pytest.mark.asyncio + async def test_full_conversation_flow(self): + """Test a complete conversation flow (requires real credentials).""" + pytest.skip("Integration test requires real Azure credentials") + + # This test would require actual Azure credentials and would look like: + # agent = HelloWorldAgent() + # await agent.create_agent() + # thread = await agent.create_thread() + # response = await agent.run_conversation(thread.id, "Hello!") + # assert len(response) > 0 + # await agent.cleanup_agent() + + +if 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a/samples/python/agents/semantickernel_hello_world/Containerfile b/samples/python/agents/semantickernel_hello_world/Containerfile new file mode 100644 index 00000000..6e57e1bd --- /dev/null +++ b/samples/python/agents/semantickernel_hello_world/Containerfile @@ -0,0 +1,42 @@ +FROM registry.access.redhat.com/ubi8/python-312 + +# Set work directory +WORKDIR /opt/app-root/agents/semantickernel + +# Copy Python Project Files (Container context must be the `python` directory) +COPY ../.. /opt/app-root + +USER root + +# Install system build dependencies and UV package manager +RUN dnf -y update && dnf install -y gcc gcc-c++ \ + && pip install uv + +# Set environment variables for uv: +# UV_COMPILE_BYTECODE=1: Compiles Python files to .pyc for faster startup +# UV_LINK_MODE=copy: Ensures files are copied, not symlinked, which can avoid issues +ENV UV_COMPILE_BYTECODE=1 \ + UV_LINK_MODE=copy + +# Install dependencies using uv sync. +# --frozen: Ensures uv respects the uv.lock file +# --no-install-project: Prevents installing the project itself in this stage +# --no-dev: Excludes development dependencies +# --mount=type=cache: Leverages Docker's build cache for uv, speeding up repeated builds +RUN --mount=type=cache,target=/.cache/uv \ + uv sync --frozen --no-install-project --no-dev + +# Install the project +RUN --mount=type=cache,target=/.cache/uv \ + uv sync --frozen --no-dev + +# Allow non-root user to access the everything in app-root +RUN chgrp -R root /opt/app-root/ && chmod -R g+rwx /opt/app-root/ + +# Expose default port (change if needed) +EXPOSE 10020 + +USER 1001 + +# Run the agent +CMD uv run . --host 0.0.0.0 \ No newline at end of file diff --git a/samples/python/agents/semantickernel_hello_world/README.md b/samples/python/agents/semantickernel_hello_world/README.md new file mode 100644 index 00000000..8b08e15b --- /dev/null +++ b/samples/python/agents/semantickernel_hello_world/README.md @@ -0,0 +1,190 @@ +# Semantic Kernel Calculator Agent with A2A Protocol + +This sample demonstrates how to implement a **calculator agent** built on [Semantic Kernel](https://github.com/microsoft/semantic-kernel/) and exposed through the A2A protocol. It showcases: + +- **Tool / function calling**: Model chooses calculator functions (add, subtract, multiply, divide, safe expression evaluation) +- **Safe math expression evaluation**: Sandboxed AST evaluation for expressions like `sin(pi/2)+sqrt(16)` +- **Multiโ€‘turn interactions**: Maintains conversational context via Semantic Kernel `ChatHistory` +- **Streaming responses**: Emits intermediate status updates while tools are invoked +- **Conversational memory**: Sessionโ€‘scoped (inโ€‘memory) state +- **Structured responses**: JSON schema (ResponseFormat) guides final answers + +```mermaid +sequenceDiagram + participant Client as A2A Client + participant Server as A2A Server + participant Mgr as CalculatorManagerAgent + participant Tool as CalculatorToolAgent (Plugin) + + Client->>Server: A2A task ("Compute sin(pi/2)+sqrt(16)") + Server->>Mgr: Forward request + Note over Mgr: Decide to invoke tool(s) + Mgr->>Tool: Evaluate expression + Tool-->>Mgr: Numeric result + Mgr-->>Server: Structured final answer + Server-->>Client: Streaming: "Computing with calculator tools..." + Server-->>Client: Streaming: "Formulating result..." + Server-->>Client: Final result & status +``` + +## Prerequisites + +- Python 3.10 or higher +- [uv](https://docs.astral.sh/uv/) +- Valid Azure OpenAI (default) or OpenAI credentials (or configure another SK chat completion connector) + +## Project Layout (Key Files) + +``` +semantickernel_hello_world/ + agent.py # Calculator agent & plugin (replaces travel agent) + __init__.py + ... other server / runner modules (see sibling sample infrastructure) +``` + +Core class: `SemanticKernelCalculatorAgent` (replaces former travel agent). It wraps: +- `CalculatorToolAgent` plugin (with `CalculatorPlugin` functions) +- Manager agent performing routing & formatting + +## Environment Configuration + +Create a `.env` file (same directory as `agent.py`). The agent uses **Azure OpenAI** by default. To switch to OpenAI edit `agent.py` as shown below. + +### OpenAI +```bash +OPENAI_API_KEY="your_api_key_here" +OPENAI_CHAT_MODEL_ID="gpt-4o-mini" # example +``` + +### Azure OpenAI (default) +```bash +AZURE_OPENAI_API_KEY="your-azure-api-key" +AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" +AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="your-deployment-name" +AZURE_OPENAI_API_VERSION="2024-12-01-preview" +``` + +### Switching Backends +In `agent.py` locate: +```python +chat_service = get_chat_completion_service(ChatServices.AZURE_OPENAI) +``` +Change to: +```python +chat_service = get_chat_completion_service(ChatServices.OPENAI) +``` + +> [!NOTE] +> For other LLM providers configure the appropriate Semantic Kernel connector. See SK docs: Chat Completion Services. + +## Setup & Run + +1. Navigate to the sample directory: +```bash +cd samples/python/agents/semantickernel_hello_world +``` + +2. Create and activate environment: +```bash +uv python pin 3.12 +uv venv +source .venv/bin/activate +``` + +3. Install & run (A2A server listens on port 10020 by default): +```bash +uv run . +``` +Custom host/port: +```bash +uv run . --host 0.0.0.0 --port 8080 +``` + +4. In a separate terminal run the A2A client sample: +```bash +cd samples/python/hosts/cli +uv run . --agent http://localhost:10020 +``` + +## Example A2A Requests + +POST to `http://localhost:10020` (JSON-RPC). Example synchronous calculation: + +### Request +```json +{ + "jsonrpc": "2.0", + "id": 1, + "method": "message/send", + "params": { + "id": "calc-1", + "sessionId": "session-abc", + "acceptedOutputModes": ["text"], + "message": { + "role": "user", + "parts": [ { "type": "text", "text": "Compute sin(pi/2)+sqrt(16)" } ] + } + } +} +``` + +### Possible Streaming Status Events (for message/stream) +``` +Computing with calculator tools... +Formulating result... +``` + +### Response (final) +```json +{ + "jsonrpc": "2.0", + "id": 1, + "result": { + "id": "calc-1", + "status": { "state": "completed", "timestamp": "2025-04-01T16:53:29.301828" }, + "artifacts": [ + { + "parts": [ { "type": "text", "text": "Result: 5.0" } ], + "index": 0 + } + ], + "history": [] + } +} +``` +(Here, `sin(pi/2)` = 1 and `sqrt(16)` = 4.) + +## Calculator Plugin Functions +| Function | Description | Example | +|----------|-------------|---------| +| add(a,b) | Add two numbers | add 2 3 -> 5 | +| subtract(a,b) | a - b | subtract 10 4 -> 6 | +| multiply(a,b) | Multiply | multiply 6 7 -> 42 | +| divide(a,b) | Safe division | divide 8 0 -> Error | +| calculate(expression) | Safe expression evaluator (`+ - * / // % **`, math funcs) | calculate "sin(pi/2)+sqrt(9)" -> 4 | + +The model/tooling layer chooses whether to call a function or produce a direct answer. Complex math should route through tools. + +## Container (Optional) +If a `Containerfile` exists in this directory (or adapt from sibling samples): +```bash +cd samples/python +podman build -f agents/semantickernel_hello_world/Containerfile . -t sk-calculator-a2a +podman run -p 10020:10020 --env-file agents/semantickernel_hello_world/.env sk-calculator-a2a +``` +> Replace `podman` with `docker` if preferred. + +## Limitations +- In-memory session memory (ephemeral) +- Only text input/output +- Expression evaluator is intentionally restricted (no variables/function definitions) + +## Security Considerations +All inbound data from external agents (AgentCard, artifacts, messages) must be treated as untrusted. Sanitize before injecting into prompts to mitigate prompt injection & data exfiltration risks. + +## References +- A2A Protocol: https://google.github.io/A2A/#/documentation +- Semantic Kernel Docs: https://learn.microsoft.com/en-us/semantic-kernel/ + +## Disclaimer +Important: This sample is for demonstration purposes. Harden, validate inputs, and securely manage credentials before any production deployment. \ No newline at end of file diff --git a/samples/python/agents/semantickernel_hello_world/__main__.py b/samples/python/agents/semantickernel_hello_world/__main__.py new file mode 100644 index 00000000..fe8b5cd0 --- /dev/null +++ b/samples/python/agents/semantickernel_hello_world/__main__.py @@ -0,0 +1,82 @@ +import logging + +import click +import httpx + +from a2a.server.apps import A2AStarletteApplication +from a2a.server.request_handlers import DefaultRequestHandler +from a2a.server.tasks import ( + BasePushNotificationSender, + InMemoryPushNotificationConfigStore, + InMemoryTaskStore +) +from a2a.types import AgentCapabilities, AgentCard, AgentSkill +from agent_executor import SemanticKernelCalculatorAgentExecutor +from dotenv import load_dotenv + + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +load_dotenv() + + +@click.command() +@click.option('--host', default='localhost') +@click.option('--port', default=10020) +def main(host, port): + """Starts the Semantic Kernel Agent server using A2A.""" + httpx_client = httpx.AsyncClient() + push_config_store = InMemoryPushNotificationConfigStore() + push_sender = BasePushNotificationSender(httpx_client=httpx_client, + config_store=push_config_store) + request_handler = DefaultRequestHandler( + agent_executor=SemanticKernelCalculatorAgentExecutor(), + task_store=InMemoryTaskStore(), + push_sender=push_sender, + ) + + server = A2AStarletteApplication( + agent_card=get_agent_card(host, port), http_handler=request_handler + ) + import uvicorn + + uvicorn.run(server.build(), host=host, port=port) + + +def get_agent_card(host: str, port: int): + """Returns the Agent Card for the Semantic Kernel Travel Agent.""" + # Build the agent card + capabilities = AgentCapabilities(streaming=True) + skill_calculator = AgentSkill( + id='calculator', + name='Semantic Kernel Calculator', + description=( + 'Handles comprehensive calculations, including currency conversions, distance calculations, and more.' + ), + tags=['calculator', 'math', 'semantic-kernel'], + examples=[ + 'What is 2 + 2?', + 'What is 500 * 20 + 5?' + ], + ) + + agent_card = AgentCard( + name='Calculator Agent', + description=( + 'Semantic Kernel-based calculator agent providing comprehensive calculation services ' + 'including currency conversion and mathematical problem solving.' + ), + url=f'http://{host}:{port}/', + version='1.0.0', + default_input_modes=['text'], + default_output_modes=['text'], + capabilities=capabilities, + skills=[skill_calculator], + ) + + return agent_card + + +if __name__ == '__main__': + main() diff --git a/samples/python/agents/semantickernel_hello_world/agent.py b/samples/python/agents/semantickernel_hello_world/agent.py new file mode 100644 index 00000000..a918c698 --- /dev/null +++ b/samples/python/agents/semantickernel_hello_world/agent.py @@ -0,0 +1,387 @@ +import asyncio +import logging +import os + +from collections.abc import AsyncIterable +from enum import Enum +from typing import TYPE_CHECKING, Annotated, Any, Literal + +from dotenv import load_dotenv +from pydantic import BaseModel +from semantic_kernel.agents import ChatCompletionAgent, ChatHistoryAgentThread +from semantic_kernel.connectors.ai.open_ai import ( + AzureChatCompletion, + OpenAIChatCompletion, + OpenAIChatPromptExecutionSettings, +) +from semantic_kernel.contents import ( + FunctionCallContent, + FunctionResultContent, + StreamingChatMessageContent, + StreamingTextContent, +) +from semantic_kernel.functions import KernelArguments, kernel_function + + +if TYPE_CHECKING: + from semantic_kernel.connectors.ai.chat_completion_client_base import ( + ChatCompletionClientBase, + ) + from semantic_kernel.contents import ChatMessageContent + +logger = logging.getLogger(__name__) + +load_dotenv() + +# region Chat Service Configuration + + +class ChatServices(str, Enum): + """Enum for supported chat completion services.""" + + AZURE_OPENAI = 'azure_openai' + OPENAI = 'openai' + + +service_id = 'default' + + +def get_chat_completion_service( + service_name: ChatServices, +) -> 'ChatCompletionClientBase': + """Return an appropriate chat completion service based on the service name. + + Args: + service_name (ChatServices): Service name. + + Returns: + ChatCompletionClientBase: Configured chat completion service. + + Raises: + ValueError: If the service name is not supported or required environment variables are missing. + """ + if service_name == ChatServices.AZURE_OPENAI: + return _get_azure_openai_chat_completion_service() + if service_name == ChatServices.OPENAI: + return _get_openai_chat_completion_service() + raise ValueError(f'Unsupported service name: {service_name}') + + +def _get_azure_openai_chat_completion_service() -> AzureChatCompletion: + """Return Azure OpenAI chat completion service. + + Returns: + AzureChatCompletion: The configured Azure OpenAI service. + """ + return AzureChatCompletion(service_id=service_id) + + +def _get_openai_chat_completion_service() -> OpenAIChatCompletion: + """Return OpenAI chat completion service. + + Returns: + OpenAIChatCompletion: Configured OpenAI service. + """ + return OpenAIChatCompletion( + service_id=service_id, + ai_model_id=os.getenv('OPENAI_MODEL_ID'), + api_key=os.getenv('OPENAI_API_KEY'), + ) + + +# endregion + +# region Calculator Plugin + +import ast +import math + +_ALLOWED_NAMES = {k: getattr(math, k) for k in [ + 'pi', 'e', 'tau', 'sin', 'cos', 'tan', 'asin', 'acos', 'atan', 'sqrt', 'log', 'log10', 'floor', 'ceil' +]} +_ALLOWED_NAMES.update({'abs': abs, 'round': round, 'min': min, 'max': max}) +_ALLOWED_NODES = ( + ast.Expression, + ast.BinOp, + ast.UnaryOp, + ast.Num, # py<3.8 + ast.Constant, + ast.Add, + ast.Sub, + ast.Mult, + ast.Div, + ast.Pow, + ast.Mod, + ast.FloorDiv, + ast.USub, + ast.UAdd, + ast.Call, + ast.Load, + ast.Name, +) + + +def _safe_eval(expr: str) -> float: + """Safely evaluate a mathematical expression using a restricted AST.""" + try: + tree = ast.parse(expr, mode='eval') + for node in ast.walk(tree): + if not isinstance(node, _ALLOWED_NODES): + raise ValueError(f'Unsupported expression element: {type(node).__name__}') + if isinstance(node, ast.Call): + if not isinstance(node.func, ast.Name) or node.func.id not in _ALLOWED_NAMES: + raise ValueError('Only whitelisted math functions are allowed') + compiled = compile(tree, '', 'eval') + return float(eval(compiled, {'__builtins__': {}}, _ALLOWED_NAMES)) # noqa: S307 (controlled env) + except Exception as e: # noqa: BLE001 + raise ValueError(f'Invalid expression: {e!s}') from e + + +class CalculatorPlugin: + """A calculator plugin providing arithmetic operations and expression evaluation.""" + + @kernel_function(description='Add two numbers') + def add( + self, + a: Annotated[float, 'First number'], + b: Annotated[float, 'Second number'], + ) -> str: + return str(a + b) + + @kernel_function(description='Subtract two numbers (a - b)') + def subtract( + self, + a: Annotated[float, 'Minuend'], + b: Annotated[float, 'Subtrahend'], + ) -> str: + return str(a - b) + + @kernel_function(description='Multiply two numbers') + def multiply( + self, + a: Annotated[float, 'First factor'], + b: Annotated[float, 'Second factor'], + ) -> str: + return str(a * b) + + @kernel_function(description='Divide two numbers (a / b)') + def divide( + self, + a: Annotated[float, 'Dividend'], + b: Annotated[float, 'Divisor (non-zero)'], + ) -> str: + try: + return str(a / b) + except ZeroDivisionError: + return 'Error: Division by zero' + + @kernel_function(description='Evaluate a math expression safely (supports +, -, *, /, **, sin, cos, etc.)') + def calculate( + self, + expression: Annotated[str, 'Mathematical expression to evaluate'], + ) -> str: + try: + return str(_safe_eval(expression)) + except Exception as e: # noqa: BLE001 + return f'Error: {e!s}' + + +# endregion + +# region Response Format + + +class ResponseFormat(BaseModel): + """A Response Format model to direct how the model should respond.""" + + status: Literal['input_required', 'completed', 'error'] = 'input_required' + message: str + + +# endregion + +# region Semantic Kernel Calculator Agent + + +class SemanticKernelCalculatorAgent: + """Calculator agent powered by Semantic Kernel with tool/function calling.""" + + agent: ChatCompletionAgent + thread: ChatHistoryAgentThread = None + SUPPORTED_CONTENT_TYPES = ['text', 'text/plain'] + + def __init__(self): + # Choose backend (Azure OpenAI by default) + chat_service = get_chat_completion_service(ChatServices.AZURE_OPENAI) + + calculator_agent = ChatCompletionAgent( + service=chat_service, + name='CalculatorToolAgent', + instructions=( + 'You are a precise mathematical tool. Use the provided calculator functions to compute results. ' + 'Always prefer tool calls over doing math in your head for reliability. ' + 'Support arithmetic, safe expression evaluation, and basic math functions. ' + 'If the user asks something non-mathematical, politely explain you are a calculator.' + ), + plugins=[CalculatorPlugin()], + ) + + self.agent = ChatCompletionAgent( + service=chat_service, + name='CalculatorManagerAgent', + instructions=( + 'You manage mathematical queries. Decide if a direct answer is possible or if a tool should be called. ' + 'Use the CalculatorToolAgent for any computation beyond trivial arithmetic. ' + 'Return concise answers. For step-by-step requests, explain steps briefly.' + ), + plugins=[calculator_agent], + arguments=KernelArguments( + settings=OpenAIChatPromptExecutionSettings( + response_format=ResponseFormat, + ) + ), + ) + + async def invoke(self, user_input: str, session_id: str) -> dict[str, Any]: + """Handle synchronous tasks (like message/send). + + Args: + user_input (str): User input message. + session_id (str): Unique identifier for the session. + + Returns: + dict: A dictionary containing the content, task completion status, + and user input requirement. + """ + await self._ensure_thread_exists(session_id) + + # Use SK's get_response for a single shot + response = await self.agent.get_response( + messages=user_input, + thread=self.thread, + ) + return self._get_agent_response(response.content) + + async def stream( + self, + user_input: str, + session_id: str, + ) -> AsyncIterable[dict[str, Any]]: + """For streaming tasks we yield the SK agent's invoke_stream progress. + + Args: + user_input (str): User input message. + session_id (str): Unique identifier for the session. + + Yields: + dict: A dictionary containing the content, task completion status, + and user input requirement. + """ + await self._ensure_thread_exists(session_id) + + plugin_notice_seen = False + plugin_event = asyncio.Event() + + text_notice_seen = False + chunks: list[StreamingChatMessageContent] = [] + + async def _handle_intermediate_message( + message: 'ChatMessageContent', + ) -> None: + """Handle intermediate messages from the agent.""" + nonlocal plugin_notice_seen + if not plugin_notice_seen: + plugin_notice_seen = True + plugin_event.set() + # An example of handling intermediate messages during function calling + for item in message.items or []: + if isinstance(item, FunctionResultContent): + logger.info( + 'Tool Result: %s for function: %s', item.result, item.name + ) + elif isinstance(item, FunctionCallContent): + logger.info( + 'Tool Call: %s with arguments: %s', item.name, item.arguments + ) + else: + logger.debug('Intermediate message item: %s', item) + + async for chunk in self.agent.invoke_stream( + messages=user_input, + thread=self.thread, + on_intermediate_message=_handle_intermediate_message, + ): + if plugin_event.is_set(): + yield { + 'is_task_complete': False, + 'require_user_input': False, + 'content': 'Computing with calculator tools...', + } + plugin_event.clear() + + if any(isinstance(i, StreamingTextContent) for i in chunk.items): + if not text_notice_seen: + yield { + 'is_task_complete': False, + 'require_user_input': False, + 'content': 'Formulating result...', + } + text_notice_seen = True + chunks.append(chunk.message) + + if chunks: + yield self._get_agent_response(sum(chunks[1:], chunks[0])) + + def _get_agent_response( + self, message: 'ChatMessageContent' + ) -> dict[str, Any]: + try: + structured_response = ResponseFormat.model_validate_json( + message.content + ) + except Exception: # noqa: BLE001 + # Fallback: return raw content + return { + 'is_task_complete': True, + 'require_user_input': False, + 'content': message.content, + } + + default_response = { + 'is_task_complete': True, + 'require_user_input': False, + 'content': 'Unable to process the request.', + } + + if isinstance(structured_response, ResponseFormat): + response_map = { + 'input_required': { + 'is_task_complete': False, + 'require_user_input': True, + }, + 'error': { + 'is_task_complete': True, + 'require_user_input': False, + }, + 'completed': { + 'is_task_complete': True, + 'require_user_input': False, + }, + } + response = response_map.get(structured_response.status) + if response: + return {**response, 'content': structured_response.message} + return default_response + + async def _ensure_thread_exists(self, session_id: str) -> None: + """Ensure the thread exists for the given session ID. + + Args: + session_id (str): Unique identifier for the session. + """ + if self.thread is None or self.thread.id != session_id: + await self.thread.delete() if self.thread else None + self.thread = ChatHistoryAgentThread(thread_id=session_id) + + +# endregion diff --git a/samples/python/agents/semantickernel_hello_world/agent_executor.py b/samples/python/agents/semantickernel_hello_world/agent_executor.py new file mode 100644 index 00000000..13c64ba6 --- /dev/null +++ b/samples/python/agents/semantickernel_hello_world/agent_executor.py @@ -0,0 +1,103 @@ +import logging + +from a2a.server.agent_execution import AgentExecutor, RequestContext +from a2a.server.events.event_queue import EventQueue +from a2a.types import ( + TaskArtifactUpdateEvent, + TaskState, + TaskStatus, + TaskStatusUpdateEvent, +) +from a2a.utils import ( + new_agent_text_message, + new_task, + new_text_artifact, +) +from agent import SemanticKernelCalculatorAgent + + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +class SemanticKernelCalculatorAgentExecutor(AgentExecutor): + """ "SemanticKernelCalculatorAgent Executor""" + + def __init__(self): + self.agent = SemanticKernelCalculatorAgent() + + async def execute( + self, + context: RequestContext, + event_queue: EventQueue, + ) -> None: + query = context.get_user_input() + task = context.current_task + if not task: + task = new_task(context.message) + await event_queue.enqueue_event(task) + + async for partial in self.agent.stream(query, task.context_id): + require_input = partial['require_user_input'] + is_done = partial['is_task_complete'] + text_content = partial['content'] + + if require_input: + await event_queue.enqueue_event( + TaskStatusUpdateEvent( + status=TaskStatus( + state=TaskState.input_required, + message=new_agent_text_message( + text_content, + task.context_id, + task.id, + ), + ), + final=True, + context_id=task.context_id, + task_id=task.id, + ) + ) + elif is_done: + await event_queue.enqueue_event( + TaskArtifactUpdateEvent( + append=False, + context_id=task.context_id, + task_id=task.id, + last_chunk=True, + artifact=new_text_artifact( + name='current_result', + description='Result of request to agent.', + text=text_content, + ), + ) + ) + await event_queue.enqueue_event( + TaskStatusUpdateEvent( + status=TaskStatus(state=TaskState.completed), + final=True, + context_id=task.context_id, + task_id=task.id, + ) + ) + else: + await event_queue.enqueue_event( + TaskStatusUpdateEvent( + status=TaskStatus( + state=TaskState.working, + message=new_agent_text_message( + text_content, + task.context_id, + task.id, + ), + ), + final=False, + context_id=task.context_id, + task_id=task.id, + ) + ) + + async def cancel( + self, context: RequestContext, event_queue: EventQueue + ) -> None: + raise Exception('cancel not supported') diff --git a/samples/python/agents/semantickernel_hello_world/pyproject.toml b/samples/python/agents/semantickernel_hello_world/pyproject.toml new file mode 100644 index 00000000..f0e4eb96 --- /dev/null +++ b/samples/python/agents/semantickernel_hello_world/pyproject.toml @@ 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