agent-framework/python/samples/getting_started/agents/azure_ai

Azure AI Agent Examples

This folder contains examples demonstrating different ways to create and use agents with the Azure AI chat client from the agent_framework.azure package.

Examples

File	Description
azure_ai_basic.py	The simplest way to create an agent using ChatAgent with AzureAIAgentClient. It automatically handles all configuration using environment variables.
azure_ai_with_explicit_settings.py	Shows how to create an agent with explicitly configured AzureAIAgentClient settings, including project endpoint, model deployment, credentials, and agent name.
azure_ai_with_existing_agent.py	Shows how to work with a pre-existing agent by providing the agent ID to the Azure AI chat client. This example also demonstrates proper cleanup of manually created agents.
azure_ai_with_function_tools.py	Demonstrates how to use function tools with agents. Shows both agent-level tools (defined when creating the agent) and query-level tools (provided with specific queries).
azure_ai_with_code_interpreter.py	Shows how to use the HostedCodeInterpreterTool with Azure AI agents to write and execute Python code. Includes helper methods for accessing code interpreter data from response chunks.
azure_ai_with_local_mcp.py	Shows how to integrate Azure AI agents with Model Context Protocol (MCP) servers for enhanced functionality and tool integration. Demonstrates both agent-level and run-level tool configuration.
azure_ai_with_thread.py	Demonstrates thread management with Azure AI agents, including automatic thread creation for stateless conversations and explicit thread management for maintaining conversation context across multiple interactions.

Environment Variables

Make sure to set the following environment variables before running the examples:

• AZURE_AI_PROJECT_ENDPOINT: Your Azure AI project endpoint
• AZURE_AI_MODEL_DEPLOYMENT_NAME: The name of your model deployment