Files
agent-framework/dotnet/samples
T
westey 64fc3f381f .NET: Response & foundry agent hosted MCP sample (#1568)
* Adding sample demonstrating hosted MCP with Responses

* Add mcp readme.md to slnx

* Update FoundryAgent sample to use MCP types from abstraction and to show how to do approval

* Fix param name after package update.

* Fix environment variable name for consistency

* Apply suggestion from @Copilot

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
64fc3f381f ยท 2025-11-04 15:54:20 +00:00
History
..

Agent Framework Samples

The agent framework samples are designed to help you get started with building AI-powered agents from various providers.

The Agent Framework supports building agents using various infererence and inference-style services. All these are supported using the single ChatClientAgent class.

The Agent Framework also supports creating proxy agents, that allow accessing remote agents as if they were local agents. These are supported using various AIAgent subclasses.

Sample Categories

The samples are subdivided into the following categories:

  • Getting Started - Agents: Basic steps to get started with the agent framework. These samples demonstrate the fundamental concepts and functionalities of the agent framework when using the AIAgent and can be used with any underlying service that provides an AIAgent implementation.
  • Getting Started - Agent Providers: Shows how to create an AIAgent instance for a selection of providers.
  • Getting Started - Agent Telemetry: Demo which showcases the integration of OpenTelemetry with the Microsoft Agent Framework using Azure OpenAI and .NET Aspire Dashboard for telemetry visualization.
  • Semantic Kernel to Agent Framework Migration: For instructions and samples describing how to migrate from Semantic Kernel to Microsoft Agent Framework

Prerequisites

For prerequisites see each set of samples for their specific requirements.