Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Review of Core AutoGen Concepts

• Definitions of agents and groups
• Function calling and role chaining mechanisms
• Identifying limitations of built-in agents and the need for customization

Building Custom Agents with Python

• Defining agent behavior through user_proxy and AssistantAgent subclasses
• Injecting role-specific logic and decision-making processes
• Creating reusable agent modules and mixins

Advanced Tool Integration and Routing

• Tool registration, binding, and invocation strategies
• Conditionally routing inputs to specific tools
• Managing multi-step toolchains and composite actions

Planning and Context Management

• Designing task decomposers and intermediate planners
• Maintaining context consistency across chained agents
• Implementing scoped memory for long-running sessions

Error Handling and Recovery Mechanisms

• Detecting and managing failed or incomplete interactions
• Agent-triggered retries and fallback logic implementation
• Logging, debugging, and response validation procedures

Multi-Agent Collaboration with Custom Roles

• Coordinating specialists within dynamic agent groups
• Orchestrating reasoning loops and cooperative workflows
• Balancing role separation versus role blending in task assignments

Real-World Deployment Strategies

• Optimizing performance and cost through token use and caching
• Embedding AutoGen workflows into web applications or pipelines
• Integrating security, observability, and user feedback mechanisms

Summary and Next Steps