Drasi

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

Note

This integration is currently in Alpha; breaking changes may occur at any time.

The Drasi extension in Dapr Agents enables DurableAgent runs to be triggered by Drasi events.

Why Use Drasi?

Many systems need to react to changes produced by other systems in near real-time. Traditional polling cannot detect the absence of change, or changes that occur at an extremely high frequency without unnecessary load on source systems (even without considering network delay). Raw changes are usually not actionable, requiring custom change data capture (CDC) pipelines to process changes at scale and convert them into meaningful domain events. However, these pipelines can be expensive (if managed) or difficult to set up and maintain (if self-hosted).

Anthropic

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

The AnthropicChatClient connects Dapr Agents to Anthropic Claude models through the official Anthropic Python SDK and the Messages API. You can call it directly, or pass it as the llm of a DurableAgent.

The client supports:

Text generation with system, user, assistant, and tool messages
Streaming, with an optional on_chunk callback
Image input
Tool calling
Structured output with Pydantic models
Prompty files

Installation

The Anthropic SDK is included with the dapr-agents package, so no extra is required.

Providers on Dapr Docs

Drasi

Note

Why Use Drasi?

Anthropic

Installation