Graded Quiz: Alternative Agentic Frameworks: BeeAI and AG2 (AutoGen):Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI (BM RAG and Agentic AI Professional Certificate) Answers 2025
Question 1
Which BeeAI method generates structured outputs using a Pydantic schema?
❌ generate_structure()
❌ create_structure()
❌ ChatModel_structure()
✅ create_structured()
Explanation:create_structured() is BeeAI’s method for producing structured, schema-validated outputs.
Question 2
Purpose of ThinkTool in BeeAI:
❌ Generate random thoughts
❌ Store user preferences
❌ Validate tool outputs
✅ Enable agents to perform structured reasoning
Explanation:
ThinkTool lets agents perform step-by-step, chain-of-thought–style reasoning in a controlled way.
Question 3
Which feature allows human approval before tool execution?
❌ UnconstrainedMemory
❌ GlobalTrajectoryMiddleware
✅ AskPermissionRequirement
❌ ToolRunOptions
Explanation:
This feature ensures tools only run after human approval—important for safety.
Question 4
How does AG2 GroupChat manager enhance a healthcare chatbot?
❌ Store patient data
❌ Translate medical terms
✅ Coordinate conversations between multiple agents to provide full patient support
❌ Auto-schedule appointments
Explanation:
GroupChat lets multiple expert agents collaboratively answer user questions.
Question 5
How to create an LLM agent with the Bee Agent Framework?
❌ Use only memory
❌ Code from scratch
❌ Simulate human behavior
✅ Use predefined workflows, agents, tools, and memory components
Explanation:
BeeAI offers ready-made building blocks—no need for custom low-level agent coding.
Question 6
Key consideration when building a healthcare chatbot with AG2:
❌ Focus on general conversation
❌ Replace healthcare professionals
❌ Maximize number of agents
✅ Ensure confidentiality and compliance with healthcare regulations
Explanation:
Healthcare use cases must follow HIPAA/PII safety guidelines.
Question 7
How to configure AG2 for a two-agent conversation?
❌ Use default settings
❌ Combine multiple models into one agent
❌ Centralized system
✅ Define agent roles and interaction protocols
Explanation:
AG2 requires explicit definitions of agent behaviors and turn-taking rules.
🧾 Summary Table
| Q No. | Correct Answer | Key Concept |
|---|---|---|
| 1 | create_structured() | BeeAI structured output |
| 2 | ThinkTool = structured reasoning | BeeAI reasoning |
| 3 | AskPermissionRequirement | Human approval safety |
| 4 | Multi-agent coordination | AG2 GroupChat |
| 5 | Use predefined workflows/tools | BeeAI agent creation |
| 6 | Confidentiality & compliance | Healthcare AI safety |
| 7 | Define roles & interaction | AG2 two-agent setup |