Advanced AutoGen: Custom Agents & Dynamic Tool Use Training Course

Review of AutoGen Core Concepts

• Defining agents and groups.
• Function calling and role chaining.
• Understanding built-in agent limitations and identifying customization needs.

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.

Advanced Tool Integration and Routing

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

Planning and Context Management

• Designing task decomposers and intermediate planners.
• Maintaining 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.
• Logging, debugging, and response validation.

Multi-Agent Collaboration with Custom Roles

• Coordinating specialists within dynamic agent groups.
• Orchestrating reasoning loops and cooperative workflows.
• Striking a balance between role separation and role blending in task assignments.

Real-World Deployment Strategies

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

Summary and Next Steps