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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_existing_thread.py |
Shows how to work with a pre-existing thread by providing the thread ID to the Azure AI chat client. This example also demonstrates proper cleanup of manually created threads. |
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 endpointAZURE_AI_MODEL_DEPLOYMENT_NAME: The name of your model deployment