Introduction to Multi-Agent LLM Systems
- What
are LLM agents?
- Single-agent
vs multi-agent systems
- Benefits
and challenges of multi-agent architectures
- Use
cases for collaborating agents
Overview of AutoGen Framework
- What
is Microsoft AutoGen?
- Core
components and abstractions
- Agent
types and conversation patterns
- Typical
AutoGen architecture
Environment Setup & Project Structure
- Installing
AutoGen
- Project
setup and dependencies
- API
key management
- Development
environment best practices
Building Your First AutoGen Agents
- Creating
basic agents
- Defining
agent roles and system messages
- Agent-to-agent
communication
- Running
simple multi-agent conversations
Agent Roles, Personas & Responsibilities
- Designing
specialized agents (planner, coder, reviewer, etc.)
- Role-based
prompting strategies
- Responsibility
separation
- Reducing
agent overlap and confusion
Tool & Function Integration
- Connecting
agents to tools
- File
system and code execution tools
- API
and service integrations
- Safe
tool execution
Multi-Step & Multi-Agent Workflows
- Task
decomposition across agents
- Orchestrating
agent collaboration
- Managing
dependencies and handoffs
- Workflow
state management
Memory & Context Sharing
- Shared
vs private agent memory
- Context
passing between agents
- Long-running
conversations
- Preventing
context overload
Human-in-the-Loop & Supervision
- Approval
and review checkpoints
- Interrupting
and correcting agents
- Supervisory
agents
- Reducing
risk in autonomous systems
Error Handling & Debugging Agents
- Common
agent failure modes
- Debugging
multi-agent conversations
- Recovering
from tool failures
- Improving
agent reliability
RAG & Knowledge Integration
- Connecting
agents to knowledge bases
- Retrieval-Augmented
Generation for agents
- Document
and database tools
- Grounding
agent responses
Testing & Validation of Agent Systems
- Unit
testing agent logic
- Regression
testing conversations
- Evaluating
agent performance
- Quality
assurance for agent workflows
Security, Privacy & Governance
- Securing
tool access
- Handling
sensitive data
- Audit
logs for agent actions
- Governance
models for agent systems
Performance, Cost & Scaling
- Scaling
multi-agent systems
- Parallel
agent execution
- Token
and cost optimization
- Latency
management
Production Deployment Patterns
- Deploying
AutoGen systems
- CI/CD
for agent-based apps
- Monitoring
and observability
- Versioning
agents and workflows
Hands-on Exercises
Summary and Conclusion
