Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Review of AutoGen Core Concepts

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

Building Custom Agents with Python

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

Advanced Tool Integration and Routing

• Tool registration, binding, and execution
• 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 sessions

Error Handling and Recovery Mechanisms

• Detecting and managing failed or incomplete interactions
• Implementing agent-triggered retries and fallback logic
• Logging, debugging, and validating responses

Multi-Agent Collaboration with Custom Roles

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

Real-World Deployment Strategies

• Optimizing performance and cost through token management and caching
• Integrating AutoGen workflows into web applications or pipelines
• Enhancing security, observability, and user feedback integration