Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Revisiting AutoGen Core Concepts

• Defining agents and groups
• Function calling and role chaining mechanics
• Identifying limitations of built-in agents and determining where customization is required

Developing Custom Agents with Python

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

Advanced Tool Integration and Routing

• Tool registration, binding, and execution
• Implementing conditional routing of inputs to designated tools
• Managing multi-step toolchains and composite actions

Planning and Context Management

• Designing task decomposers and intermediate planners
• Persisting context across chained agent interactions
• Implementing scoped memory for extended sessions

Error Handling and Recovery Strategies

• Identifying and managing failed or incomplete interactions
• Implementing agent-triggered retries and fallback logic
• Logging, debugging, and response validation

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 for performance and cost efficiency (token usage, caching)
• Integrating AutoGen workflows into web applications or data pipelines
• Enhancing security, observability, and user feedback integration

Recap and Future Steps