Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Review of Core AutoGen Concepts

• Definitions of agents and agent groups
• Function calling mechanisms and role chaining
• Limitations of built-in agents and the necessity for customisation

Creating Custom Agents with Python

• Defining agent behaviour via user_proxy and AssistantAgent subclasses
• Integrating role-specific logic and decision-making processes
• Developing reusable agent modules and mixins

Advanced Tool Integration and Routing

• Tool registration, binding, and invocation strategies
• Conditionally directing inputs to specific tools
• Managing multi-step toolchains and composite actions

Planning and Context Management

• Designing task decomposers and intermediate planners
• Maintaining context consistency across chained agents
• Implementing scoped memory for long-running 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
• Strategic balance between role separation and role blending in task assignments

Real-World Deployment Strategies

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

Summary and Next Steps