Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Review of Core AutoGen Concepts

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

Developing Custom Agents with Python

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

Advanced Tool Integration and Routing

• Tool registration, binding, and invocation processes
• Conditionally routing 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 long-running sessions

Error Handling and Recovery Strategies

• 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 vs. role blending in task assignments

Real-World Deployment Strategies

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

Summary and Next Steps