Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Revisiting AutoGen Core Concepts

• Defining agents and groups.
• Understanding function calling and role chaining.
• Identifying limitations of built-in agents and the necessity for customization.

Developing Custom Agents with Python

• Configuring agent behavior by subclassing user_proxy and AssistantAgent.
• Embedding role-specific logic and decision-making processes.
• Building reusable agent modules and mixins.

Advanced Tool Integration and Routing

• Tool registration, binding, and invocation strategies.
• Implementing conditional routing of 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 agent interactions.
• Implementing scoped memory for extended sessions.

Error Handling and Recovery Protocols

• Identifying and managing failed or incomplete interactions.
• Executing agent-triggered retries and fallback logic.
• Establishing logging, debugging, and response validation workflows.

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 assignments.

Real-World Deployment Strategies

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

Concluding Summary and Future Directions