Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Review of AutoGen Core Concepts

• Definitions of agents and groups.
• Understanding function calling and role chaining.
• Identifying limitations of built-in agents and recognizing when customization is required.

Building Custom Agents with Python

• Defining agent behavior through user_proxy and AssistantAgent subclasses.
• Injecting role-specific logic and decision-making processes.
• Creating reusable agent modules and mixins for efficient development.

Advanced Tool Integration and Routing

• Managing tool registration, binding, and invocation.
• Conditionally routing inputs to specific tools for precision.
• Orchestrating multi-step toolchains and composite actions.

Planning and Context Management

• Designing task decomposers and intermediate planners.
• Maintaining coherent context 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.
• Establishing robust logging, debugging, and response validation practices.

Multi-Agent Collaboration with Custom Roles

• Coordinating specialists within dynamic agent 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 (e.g., token use, caching).
• Embedding AutoGen workflows into web applications or data pipelines.
• Integrating security measures, observability features, and user feedback loops.

Summary and Next Steps