Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Foundations of AutoGen

• Core definitions of agents and group chat structures
• Mechanics of function calling and role-based chaining
• Identifying limitations in built-in agents and the necessity for customization

Engineering Custom Agents in Python

• Extending behavior through user_proxy and AssistantAgent subclasses
• Embedding role-specific logic and autonomous decision-making
• Developing reusable agent modules and mixins for efficiency

Advanced Tool Integration and Routing

• Processes for tool registration, binding, and execution
• Implementing conditional routing of inputs to specific tools
• Orchestrating multi-step toolchains and composite actions

Planning and Context Strategy

• Architecting task decomposers and intermediate planning layers
• Persisting context across interconnected agent chains
• Implementing scoped memory solutions for long-duration sessions

Robust Error Handling and Recovery

• Identifying and resolving failed or incomplete agent interactions
• Configuring agent-triggered retries and fallback strategies
• Enhancing reliability through logging, debugging, and output validation

Collaborative Multi-Agent Systems

• Coordinating specialized agents within dynamic group configurations
• Orchestrating reasoning loops and cooperative workflow patterns
• Balancing role separation against role blending in task execution

Production Deployment Strategies

• Optimizing performance and costs through token management and caching
• Integrating AutoGen workflows into web applications or data pipelines
• Ensuring security, observability, and effective user feedback loops