Building Agentic LLM Workflows with AutoGen

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Building Agentic LLM Workflows with AutoGen Daron Yöndem Tech Lead for Application Innovation Microsoft http://daron.me @daronyondem

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Welcome! • Why Agentic Systems Matter? • AutoGen: An Open Source Multi Agent Framework that can operate agents autonomously or collaborate with humans. • AG2 – Fork of AutoGen 0.2 • Microsoft AutoGen 0.4

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Foundations of Agentic LLM Workflows • Autonomy • Collaboration • Adaptability

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AutoGen Architecture • A unified conversation framework for multi-agent interactions • Assistant Agents + User Proxy Agents • As simple as it sounds.

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Categories of Design Patterns for Agents • Reflection • Tool Use • Planning • Multi-agent collaboration

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Reflection

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Tool Use

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Planning

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Multi-Agent Collaboration

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Single-Agent Task DEMO

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From Single to Multi-Agent • Easy Agent Orchestration • State and Memory • Tool Integration • Error Handling & Control

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Multi-Agent Problem Solving / Research Assistant DEMO

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Advanced AutoGen Workflows • Extending Agent Abilities (Skills/Tools) • Incorporating Multiple Models • Custom Prompts & Behaviors • Memory and Context

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Complex Multi-Agent Orchestration DEMO

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Real-World Applications • Customer Support • Automation & Scripting • Knowledge Assistants

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Challenges and Limitations • Complexity • Cost and Performance • Reliability

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Further Learning AutoGen Discord - https://aka.ms/autogen-discord Magentic One • MultimodalWebSurfer, FileSurfer, and MagenticOneCoderAgent - https://aka.ms/magentic-one Code Samples used in this session • https://drn.fyi/codesamples

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Thanks http://daron.me | @daronyondem Grab slides on http://decks.daron.me/