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* Add a HarnessAgent with available features and sample * Fix formatting * Address PR comments and fix mypy error * Add web search support to HarnessAgent * Fix build warning * Apply suggestions from code review Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Address PR comments * Address PR comments * Address further PR comments. * Fix markdown broken link --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
Microsoft.Agents.AI.DurableTask
The Microsoft Agent Framework provides a programming model for building agents and agent workflows in .NET. This package, the Durable Task extension for the Agent Framework, extends the Agent Framework programming model with the following capabilities:
- Stateful, durable execution of agents in distributed environments
- Automatic conversation history management
- Long-running agent workflows as "durable orchestrator" functions
- Tools and dashboards for managing and monitoring agents and agent workflows
These capabilities are implemented using foundational technologies from the Durable Task technology stack:
- Durable Entities for stateful, durable execution of agents
- Durable Orchestrations for long-running agent workflows
- The Durable Task Scheduler for managing durable task execution and observability at scale
This package can be used by itself or in conjunction with the Microsoft.Agents.AI.Hosting.AzureFunctions package, which provides additional features via Azure Functions integration.
Install the package
From the command-line:
dotnet add package Microsoft.Agents.AI.DurableTask
Or directly in your project file:
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.DurableTask" Version="[CURRENTVERSION]" />
</ItemGroup>
You can alternatively just reference the Microsoft.Agents.AI.Hosting.AzureFunctions package if you're hosting your agents and orchestrations in the Azure Functions .NET Isolated worker.
Usage Examples
For a comprehensive tour of all the functionality, concepts, and APIs, check out the Azure Functions samples.
Feedback & Contributing
We welcome feedback and contributions in our GitHub repo.