Dapr AI .NET SDK on Dapr Docs

Dapr AI Client

Mon, 01 Jan 0001 00:00:00 +0000

The Dapr AI client package allows you to interact with the AI capabilities provided by the Dapr sidecar.

Note

The Dapr Conversation building block requires Dapr runtime v1.16.0 or later. Response format, prompt cache retention, and token usage statistics require Dapr runtime v1.17.0 or later.

Lifetime management

A DaprConversationClient is a version of the Dapr client that is dedicated to interacting with the Dapr Conversation API. It can be registered alongside a DaprClient and other Dapr clients without issue.

How to: Create and use Dapr AI Conversations in the .NET SDK

Mon, 01 Jan 0001 00:00:00 +0000

Prerequisites

Installation

To get started with the Dapr AI .NET SDK client, install the Dapr.AI package from NuGet:

dotnet add package Dapr.AI

A DaprConversationClient maintains access to networking resources in the form of TCP sockets used to communicate with the Dapr sidecar.

Dependency Injection

The AddDaprAiConversation() method will register the Dapr client ASP.NET Core dependency injection and is the recommended approach for using this package. This method accepts an optional options delegate for configuring the DaprConversationClient and a ServiceLifetime argument, allowing you to specify a different lifetime for the registered services instead of the default Singleton value.

How to: Using Microsoft's AI extensions with Dapr's .NET Conversation SDK

Mon, 01 Jan 0001 00:00:00 +0000

Prerequisites

Installation

To get started with this SDK, install both the Dapr.AI and Dapr.AI.Microsoft.Extensions packages from NuGet:

dotnet add package Dapr.AI
dotnet add package Dapr.AI.Microsoft.Extensions

The DaprChatClient is a Dapr-based implementation of the IChatClient interface provided in the Microsoft.Extensions.AI.Abstractions package using Dapr’s [conversation building block]({{ ref conversation-overview.md }}). It allows developers to build against the types provided by Microsoft’s abstraction while providing the greatest conformity to the Dapr conversation building block available. As both approaches adopt OpenAI’s API approach, these are expected to increasingly converge over time.