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Microsoft’s AutoGen update boosts AI agents with cross-language interoperability and observability

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microsoft has updated the AutoGen orchestration framework. This makes the agents that help build it more flexible and gives organizations more control.

AutoGen v0.4 brings robustness to the AI ​​agent and solves customer-identified issues regarding architectural constraints.

“The initial release of AutoGen sparked widespread interest in agent technology,” Microsoft researchers said. in a blog post. “At the same time, users suffered from architectural constraints, inefficient APIs exacerbated by rapid growth and limited debugging and intervention capabilities.”

The researchers added that customers are demanding greater observability and control, flexibility around multi-agent collaboration, and reusable components.

AutoGen v0.4 is more modular and extensible, with scalability and a distributed agent network. Adds asynchronous messaging. Cross-language support, observability, and debugging. Built-in and community extensions.

Asynchronous messaging means that agents built with AutoGen v0.4 support event-driven and request interaction patterns. This framework is more modular, allowing developers to add plug-in components to build long-running agents. It also allows users to design more complex distributed agent networks.

AutoGen’s extensions simplify the process of working with multi-agent teams and advanced model clients. It also allows open source developers to manage extensions.

To address observability issues, AutoGen v0.4 includes metrics tracking, messaging tracking, and debugging tools that allow users to monitor agent interactions. This update enables interoperability between agents speaking different coding languages. Currently, AutoGen v0.4 supports Python and .NET, but support for additional languages ​​is in the works.

new framework

Microsoft has updated the AutoGen framework to better define responsibilities across frameworks, tools, and applications.

This has three tiers. The core consists of the basic building blocks of an event-driven system. AgentChat is a “task-driven, high-level API built on a core layer” with group chat, code execution, and pre-built agents, most similar to AutoGen v0.2. First-party extensions interface with integrations such as Azure Code Executor and OpenAI’s model client.

In addition to the framework updates, several tools that Microsoft built around AutoGen have also been upgraded.

AutoGen Studio is a low-code interface for rapidly prototyping agents, rebuilt on the AutoGen v4.0 AgentChat API. Users can get real-time agent updates, pause conversations, redirect agents with on-the-fly controls, design agent teams with a drag-and-drop interface, import custom agents, and more. Get interactive feedback.

Microsoft and distributors

Microsoft released AutoGen in October 2023 in hopes of simplifying the way agents communicate. with rung chain and llama indexAutoGen was one of the first AI agent orchestration frameworks released before agents became the buzzword they are today.

Since then, Microsoft has released other agent systems, including Magentic-One, a generalist agent system that allows multiple agents to complete tasks.

The company employs AI agents and deploys perhaps the largest ecosystem of AI agents through its Copilot Studio platform.

But other companies are following suit. sales force We launched AgentForce and recently released an updated AgentForce 2.0. ServiceNow We have released a library of customizable agents. AWS We also added support for creating multi-agent systems on the Bedrock platform.

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