Autogen is an open-source framework for agentic AI, helping develop complex workflows with conversational agents and patterns. In this session, learn the core concepts and conversational patterns for building multi-agent AI applications with LLMs through a series of hands-on labs. You’ll walk away with a development sandbox and ideas for self-guided exploration of more advanced topics.

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* Jingya Chen
* Nitya Narasimhan
* Eric Zhu

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This video is one of many sessions delivered for the Microsoft Build 2024 event. View the full session schedule and learn more about Microsoft Build at https://build.microsoft.com

OD539 | AI Development

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Build Agentic AI Apps with the Autogen Framework | OD539

In the ever-evolving world of AI development, creating intelligent applications that not only respond to user prompts but also act autonomously is becoming increasingly feasible. Microsoft has introduced the Autogen framework, a cutting-edge tool designed to simplify the creation of agentic AI applications. This article will explore the core concepts of agentic AI, introduce you to the Autogen framework, and explain how you can start building these advanced applications today.

What is Agentic AI?

Agentic AI refers to systems designed to operate autonomously, making decisions and executing tasks with minimal human intervention. Unlike traditional AI applications that rely on specific user inputs to perform actions, agentic AI applications are proactive, planning, and executing based on their understanding of the environment and objectives.

The challenge with agentic AI development lies in effectively combining conversational capabilities with autonomous action, all while ensuring the interactions and decisions are natural and contextually relevant. This is where Microsoft’s Autogen framework comes into play, providing the tools necessary to build complex AI systems that go beyond simple command-response structures.

Introducing the Autogen Framework

The Autogen framework is developed by Microsoft Research and is an open-source project aimed at empowering developers to build advanced agentic AI applications. It provides a comprehensive set of tools that include customizable agents, conversational patterns, and execution workflows, making it easier to design AI that can operate autonomously and interact naturally with users and other systems.

Key Features of the Autogen Framework:

• Customizable Agents: Define agents that can perform various tasks autonomously or assist other agents.
• Conversational Patterns: Employ predefined conversational structures that agents use to communicate effectively.
• Execution Workflows: Manage complex tasks that require the orchestration of multiple agents and actions.

How to Get Started with Autogen

To help you dive into the world of agentic AI development with Autogen, Microsoft offers both code-first and no-code approaches, making the framework accessible to developers with various levels of programming expertise.

Autogen Studio: A No-Code Solution

For those new to coding or preferring a visual approach, Autogen Studio is a no-code platform within the Autogen ecosystem. It allows you to define agents, set up workflows, and simulate agent interactions without writing a single line of code. This approach is particularly useful for conceptualizing and testing your AI’s behavior in controlled scenarios.

Dive into Code with Autogen’s Python Libraries

If you are comfortable with Python and prefer a more hands-on method, the Autogen Python libraries offer extensive control over your agents and workflows. By writing code, you can implement intricate conversational patterns and customize the behavior of your agents to fit specific needs of your application.

Advanced Features and Future Enhancements

The development team at Microsoft is continuously working to enhance the Autogen framework. Upcoming updates include more sophisticated conversation patterns, improved agent coordination tools, and a redesigned Autogen Studio that offers an even more intuitive user experience.

Conclusion

The Autogen framework opens up a world of possibilities for developers eager to build more dynamic and intelligent AI applications. By providing tools to create agentic AI, Microsoft is paving the way for a future where AI can operate more independently and effectively, transforming the interaction between machines and humans.

Developers interested in exploring the Autogen framework should consider visiting the official repository and joining the community Discord for support and collaboration. With these resources and the continually evolving capabilities of the Autogen framework, you are well-equipped to start building the next generation of AI applications.

Whether through no-code solutions in Autogen Studio or the versatile Python libraries, the journey to building sophisticated agentic AI applications is now more accessible than ever. Start experimenting today and see how far your AI creations can go!