Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Recap of AutoGen Core Principles

• Defining agents and group structures
• Understanding function calling and role chaining
• Identifying limitations of built-in agents and the need for customization

Developing Custom Agents with Python

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

Advanced Tool Integration and Routing

• Processes for tool registration, binding, and invocation
• Conditionally directing inputs to specific tools
• Orchestrating multi-step toolchains and composite actions

Planning and Context Governance

• Designing task decomposers and intermediate planners
• Maintaining context continuity across chained agents
• Implementing scoped memory for extended sessions

Error Handling and Recovery Protocols

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

Multi-Agent Collaboration with Custom Roles

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

Real-World Deployment Strategies

• Optimizing for performance and cost efficiency (e.g., token usage, caching)
• Integrating AutoGen workflows into web applications or pipelines
• Incorporating security, observability, and user feedback mechanisms