mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Eduard van Valkenburg
10d10364a9
* cleanup of threads and serialization * fix for sliding window * fix redis test * updated from comments * updated context provider and threads * updated lock * add asyncio default * fix redis tests * fix tests * fix tests * renamed to invoking * fixed tests * fix for instructions
2.4 KiB
2.4 KiB
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