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* feat: Implement Polymorphic Routing * feat: Add support for Send/Yield annotations with basic Executor * Adds annotations to Declarative workflow executors * fix: Address PR Comments * Implicit filter in collection loops * Remove debug / usused / superfluous code * Fix ProtocolBuilder implicit output registrations * Fix logic error in ExecuteRouteGeneratorTests.ClassWithManualConfigureProtocol_DoesNotGenerate * fix: Solidify type checks and send/yield type registrations * fix: Suppress generation of TurnTokens out of AggregateTurnMessagesExecutor * Fixes an issue where ConcurrentEndExecutor is not expecting TurnTokens. * fix: Add ProtocolBuilder support for chained-delegation * Updates Declarative pacakge to rely on chained-delegation Send/Yield registration * Renames DeclarativeActionExectuor's new ExecuteAsync to ExecuteActionAsync to avoid colliding with Executor.ExecutoeAsync * fix: Address PR Comments * Fixes type mapping in FanInEdgeRunner * Fixes and expalins send/yield type registration in FunctionExecutor * fixup: build-break * fix: Add missing SendsMesage declaration to InvokeAzureAgentExecutor
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.