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Jacob Alber 39e071c430 .NET: Update Workflow Input/Output Redesign (#881 )

* feat: Make Executor id field mandatory

When checkpointing is involved, it is critical to keep executor ids consistent between runs, even when recreating a new object tree for the workflow.

The default id-setting mechanism generated a guid for part of the id, making it not work when restoring from a checkpoint.

This change prevents this situation from arising.

* feat: Enable running untyped Workflows

With the change to enable delay-instantiation of executors and support for async Executor factory methods, we must instantiate the starting executor to know what are the valid input types for the workflow.

To avoid forcing instantiation every time, and to better support workflows with multiple input types, we enable support for build and interacting with the base Workflow type without type annotations, and remove the requirement to know a valid input type when initiating a run.

* feat: Support Output from any executor and multiple outputs.

39e071c430 · 2025-09-25 02:03:22 +00:00

History

A2AClientServer

.NET: Add AgentWorkflowBuilder group chat (#861 )

2025-09-24 16:38:34 +00:00

AgentWebChat

.NET: Add AgentWorkflowBuilder group chat (#861 )

2025-09-24 16:38:34 +00:00

GettingStarted

.NET: Update Workflow Input/Output Redesign (#881 )

2025-09-25 02:03:22 +00:00

SemanticKernelMigration

.NET: [BREAKING] Subclass AgentThread so that different agents have their own threads with their own typed settings. (#798 )

2025-09-23 10:30:06 +00:00

.editorconfig

Basic agent invocation sample (#175 )

2025-07-14 15:15:46 +00:00

.gitignore

.NET: Adding Semantic Kernel - Migration Samples (#499 )

2025-08-29 14:29:03 +00:00

Directory.Build.props

Update M.E.AI and delete a bunch of dead code (#676 )

2025-09-11 00:40:58 +00:00

README.md

Fix broken links (#583 )

2025-09-02 12:18:12 +00:00

README.md

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 Migration: Semantic Kernel to Agent Framework migration guide

Prerequisites

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