Add AI Agent sample console app

examples/Python/WeatherAgent/README.md

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+# Azure App Configuration - AI Agent chat application
+
+This sample demonstrates using Azure App Configuration to load agent YAML specifications that define AI agent behavior, prompts, and model configurations for a chat application.
+
+## Features
+
+- Integrates with Azure AI Agent Framework to create a conversational AI agent
+- Loads agent YAML specifications from Azure App Configuration.
+
+## Prerequisites
+
+- Python 3.8 or later
+- An Azure subscription with access to:
+  - Azure App Configuration service
+  - Microsoft Foundry project
+- Required environment variables:
+  - `AZURE_APPCONFIGURATION_ENDPOINT`: Endpoint URL of your Azure App Configuration instance
+
+## Setup
+
+1. Clone the repository and navigate to the `examples\Python\WeatherAgent` directory:
+   ```bash
+   git clone https://github.com/Azure/AppConfiguration.git
+   cd examples\Python\WeatherAgent
+   ```
+
+1. Next, create a new Python virtual environment where you can safely install the packages:
+
+   On macOS or Linux run the following command:
+   ```bash
+   python -m venv .venv
+   source .venv/bin/activate
+   ```
+
+   On Windows run:
+   ```bash
+   python -m venv .venv
+   .venv\scripts\activate
+   ```
+
+1. Install the required packages:
+
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+1. Configure your Azure App Configuration store with the following key-value pairs:
+
+   | Key | Value |
+   |-----|-------|
+   | WeatherAgent:Spec | _See YAML below_ |
+   | WeatherAgent:ProjectEndpoint | _Your Foundry project endpoint_ |
+
+   **YAML specification for _WeatherAgent:Spec_:**
+   ```yaml
+   kind: Prompt
+   name: WeatherAgent
+   description: Weather Agent
+   instructions: You are a helpful assistant.
+   model:
+      id: gpt-4.1
+      connection:
+         kind: remote
+   ```
+1. Set the required environment variables:
+
+   If you use the Windows command prompt, run the following command and restart the command prompt to allow the change to take effect:
+
+   ```cmd
+   setx AZURE_APPCONFIGURATION_ENDPOINT "<endpoint-of-your-app-configuration-store>"
+   ```
+
+   If you use PowerShell, run the following command:
+   ```powershell
+   $Env:AZURE_APPCONFIGURATION_ENDPOINT="<endpoint-of-your-app-configuration-store>"
+   ```
+
+   If you use macOS or Linux run the following command:
+   ```bash
+   export AZURE_APPCONFIGURATION_ENDPOINT='<endpoint-of-your-app-configuration-store>'
+   ```
+
+## Run the Application
+
+Start the console application:
+
+```bash
+python app.py
+```

examples/Python/WeatherAgent/app.py

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+import asyncio
+import os
+from agent_framework.declarative import AgentFactory
+from azure.identity.aio import DefaultAzureCredential as AsyncDefaultCredential
+from azure.identity import DefaultAzureCredential
+from azure.appconfiguration.provider import load
+
+async def main():
+    endpoint = os.environ["AZURE_APPCONFIGURATION_ENDPOINT"]
+    credential = DefaultAzureCredential()
+
+    config = load(endpoint=endpoint, credential=credential)
+
+    yaml_str = config["WeatherAgent:Spec"]
+
+    async with (
+        AsyncDefaultCredential() as credential,
+        AgentFactory(client_kwargs={"async_credential": credential, "project_endpoint": config["WeatherAgent:ProjectEndpoint"]}).create_agent_from_yaml(yaml_str) as agent,
+    ):
+        while True:
+            print("How can I help? (type 'quit' to exit)")
+
+            user_input = input("User: ")
+
+            if user_input.lower() in ['quit', 'exit', 'bye']:
+                break
+
+            response = await agent.run(user_input)
+            print("Agent response: ", response.text)
+            input("Press enter to continue...")
+
+        print("Exiting... Goodbye...")
+
+if __name__ == "__main__":
+    asyncio.run(main())