Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Revisiting AutoGen Core Concepts

• Definitions of agents and group configurations.
• Mechanics of function calling and role chaining.
• Identifying limitations in built-in agents and assessing the need for customization.

Constructing Custom Agents via Python

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

Sophisticated 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.
• Maintaining continuity of context across chained agents.
• Implementing scoped memory for long-duration sessions.

Error Handling and Recovery Protocols

• Identifying 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 specialized agents within dynamic groups.
• Orchestrating reasoning loops and cooperative workflows.
• Deciding between role separation and role blending in task assignments.

Real-World Deployment Strategies

• Optimizing for performance and cost efficiency (including token usage and caching).
• Integrating AutoGen workflows into web applications or processing pipelines.
• Incorporating security measures, observability, and user feedback loops.

Summary and Future Directions