Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Refresher on AutoGen Core Concepts

• Definitions of agents and groups
• Mechanics of function calling and role chaining
• Identifying limitations of built-in agents and scenarios requiring customization

Constructing Custom Agents with Python

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

Advanced Tool Integration and Routing Strategies

• Processes for tool registration, binding, and invocation
• 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 continuity across chained agents
• Implementing scoped memory for extended session durations

Error Handling and Recovery Mechanisms

• Detection and management of failed or incomplete interactions
• Implementing agent-triggered retries and fallback logic
• Logging, debugging, and response validation practices

Multi-Agent Collaboration with Custom Roles

• Coordinating specialized agents within dynamic groups
• Orchestrating reasoning loops and cooperative workflows
• Evaluating role separation versus role blending in task assignments

Real-World Deployment Strategies

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

Summary and Recommended Next Steps