Add AI Agent sample console app

examples/Python/ai-agent-sample-app/README.md

@@ -0,0 +1,59 @@
+# 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
+1. Install the required packages:
+
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+1. Configure your Azure App Configuration store with the agent YAML specification:
+
+   ```yaml
+    kind: Prompt
+    name: WeatherAgent
+    description: Weather Agent
+    instructions: You are a helpful assistant.
+    model:
+        id: gpt-4.1
+        connection:
+            kind: remote
+   ```
+
+1. Configure your Azure App Configuration store with project endpoint:
+
+    ```console
+    Agent:ProjectEndpoint - Your Foundry project endpoint
+    ```
+
+1. Set the required environment variables:
+
+   ```bash
+   export AZURE_APPCONFIGURATION_ENDPOINT="https://your-appconfig.azconfig.io"
+   ```
+
+## Running the Application
+
+Start the console application:
+
+```bash
+python app.py
+```

examples/Python/ai-agent-sample-app/app.py

@@ -0,0 +1,35 @@
+import asyncio
+import os
+from agent_framework.declarative import AgentFactory
+from azure.identity.aio import AzureCliCredential
+from azure.identity import DefaultAzureCredential
+from azure.appconfiguration.provider import load
+
+async def main():
+    endpoint = os.environ["APP_CONFIGURATION_ENDPOINT"]
+    credential = DefaultAzureCredential()
+
+    config = load(endpoint=endpoint, credential=credential)
+
+    yaml_str = config["Agent:Spec"]
+
+    async with (
+        AzureCliCredential() as credential,
+        AgentFactory(client_kwargs={"async_credential": credential, "project_endpoint": config["Agent: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())