Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Revisiting Core AutoGen Concepts

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

Creating Custom Agents in Python

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

Advanced Tool Integration and Routing

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

Planning and Context Management

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

Error Handling and Recovery Strategies

• Identifying and managing failed or incomplete interactions.
• Triggering agent 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 versus role blending in task allocation.

Real-World Deployment Tactics

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

Summary and Future Directions