Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Review of Core AutoGen Concepts

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

Creating Custom Agents with Python

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

Advanced Tool Integration and Routing

• Tool registration, binding, and invocation strategies
• Conditional routing of inputs to designated tools
• Managing multi-step toolchains and composite actions

Planning and Context Management

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

Error Handling and Recovery Mechanisms

• Detection and management of failed or incomplete interactions
• Agent-triggered retries and fallback logic implementation
• Logging, debugging, and response validation techniques

Multi-Agent Collaboration with Custom Roles

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

Real-World Deployment Strategies

• Optimizing performance and costs, including token use and caching
• Integrating AutoGen workflows into web applications or pipelines
• Incorporating security, observability, and user feedback

Summary and Next Steps