AI Agent Orchestration

🤖🤝🤖 AI agent orchestration patterns using Semantic Kernel and AutoGen.

The user scenario supports investment decisions by agents to analyze data using each orchestration pattern.

Usage

poetry install

• Semantic Kernel examples in semantic_kernel/:
  • sk_concurrent.py, sk_sequential.py, sk_groupchat.py, sk_handoff.py, sk_magnetic.py
• AutoGen examples in autogen/:
  • ag_concurrent.py, ag_sequential.py, ag_groupchat.py, ag_handoff.py

🤝 Orchestration patterns

Orchestrations	Description
⚡ Concurrent	Useful for tasks that will benefit from independent analysis from multiple agents.
1️⃣ Sequential	Useful for tasks that require a well-defined step-by-step approach.
🤝 Handoff	Useful for tasks that are dynamic in nature and don't have a well-defined step-by-step approach.
💬 GroupChat	Useful for tasks that will benefit from inputs from multiple agents and a highly configurable conversation flow.
🔮 Magentic	GroupChat-like with a planner-based manager. Inspired by Magentic One.

🛠️ Implementation Details

Scenario Mapping:

• Concurrent: Parallel analysis by multiple independent specialists on a single investment request.
• Sequential: Deterministic investment pipeline (data collection → fundamental analysis → report generation).
• GroupChat: Investment committee simulation where a moderator and specialist members collaborate in a structured conversation.
• Handoff: Investment query triage, routing client requests to an equity specialist or to a human advisor based on content.
• Magentic: Planner generates a structured task plan, orchestrator dispatches tasks to specialists, then synthesizes the final recommendation.

👥 Agent List by Pattern

• Concurrent: FundamentalAnalyst, TechnicalAnalyst, SentimentAnalyst
• Sequential: DataCollector, FundamentalAnalyst, ReportGenerator
• GroupChat: Moderator, FundamentalAnalyst, RiskManager
• Handoff : TriageAdvisor, EquitySpecialist
• Magentic: Planner, Orchestrator

📚 Learn More

1. AI agent orchestration patterns🏆
2. Semantic Kernel Documentation
3. Autogen Documentation
4. LlamaIndex Agentic Workflows
5. Official examples
   • Autogen: python/docs/src/user-guide/core-user-guide/design-patterns
   • Semantic Kernel: python/samples/getting_started_with_agents/multi_agent_orchestration