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Shyju Krishnankutty
ad51aee47b
* Add Azure Functions HITL workflow sample Add 06_WorkflowHITL Azure Functions sample demonstrating Human-in-the-Loop workflow support with HTTP endpoints for status checking and approval responses. The sample includes: - ExpenseReimbursement workflow with RequestPort for manager approval - Custom HTTP endpoint to check workflow status and pending approvals - Custom HTTP endpoint to send approval responses via RaiseEventAsync - demo.http file with step-by-step interaction examples * PR feedback fixes * Minor comment cleanup * Minor comment clReverted the `!context.IsReplaying` guards on `PendingEvents.Add`/`RemoveAll` and `SetCustomStatus` in `ExecuteRequestPortAsync`. The guards broke fan-out scenarios where parallel RequestPorts need to be discoverable after replay. `SetCustomStatus` is idempotent metadata that doesn't affect replay determinism.eanup * fix for PR feedback * PR feedback updates * Improvements to samples * Improvements to README * Update samples to use parallel request ports. * Unit tests * Introduce local variables to improve readability of Workflows.Workflows access patter * Use GitHub-style callouts and add PowerShell command variants in HITL sample README
ad51aee47b
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2026-03-03 11:19:14 -08:00
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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
AIAgentand can be used with any underlying service that provides anAIAgentimplementation. - 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
- Durable Agents - Azure Functions: Samples for using the Microsoft Agent Framework with Azure Functions via the durable task extension.
- Durable Agents - Console Apps: Samples demonstrating durable agents in console applications.
Prerequisites
For prerequisites see each set of samples for their specific requirements.