IVQ 51-100

LangGraph Deep Dive

1. How do you define the initial state when starting a LangGraph workflow?

2. What’s the difference between StateGraph.add_node and StateGraph.add_conditional_edges?

3. How can you prevent infinite loops in LangGraph workflows?

4. How does LangGraph manage memory across state transitions?

5. Can LangGraph nodes access external context or global variables?

6. How do you reset a workflow state in LangGraph?

7. What types of outputs can a LangGraph node return?

8. How do you chain multiple LangGraphs together?

9. How can you run multiple LangGraphs in parallel?

10. How do you model fallback logic (e.g., retry with backup LLM) in LangGraph?

Testing & Debugging

1. How do you write unit tests for LangGraph nodes?

2. Can LangGraph be run in a "dry-run" or simulation mode?

3. How do you inspect intermediate state during workflow execution?

4. How can you trace the execution path of a LangGraph?

5. How do you capture and report exceptions raised in a LangGraph node?

6. How do you measure performance of each node execution?

7. How do you mock LLM calls in LangGraph tests?

8. What’s the best way to visualize a LangGraph during development?

9. How do you validate that a LangGraph is logically complete (no missing edges)?

10. Can you integrate logging middleware into LangGraph workflows?

Deployment & Scaling

1. How do you deploy LangGraph in a production environment?

2. Can LangGraph workflows be containerized using Docker?

3. How do you run LangGraph with GPU-accelerated inference?

4. How can you scale LangGraph workflows horizontally?

5. How do you make a LangGraph serverless (e.g., AWS Lambda)?

6. What observability tools integrate well with LangGraph?

7. Can LangGraph be deployed as part of a microservice architecture?

8. How do you persist LangGraph execution state for long-running flows?

9. How do you trigger LangGraph workflows via REST APIs?

10. How do you use LangGraph in conjunction with message queues like Kafka or RabbitMQ?

LLM & Agent Interactions

1. How do you integrate OpenAI’s function calling into LangGraph?

2. How do you inject custom prompts into nodes dynamically?

3. What’s the best way to do reasoning + tool usage in LangGraph?

4. How do you loop a tool-agent cycle in LangGraph?

5. How do you include human validation in the LangGraph loop?

6. How do you fine-tune the stopping conditions of an LLM-powered LangGraph?

7. What’s the role of tool_executor in LangGraph?

8. How does LangGraph help orchestrate agents that require multi-turn reasoning?

9. How can you pass memory from an LLM response to a later tool node?

10. How do you design turn-by-turn chat workflows using LangGraph?

Real-World Applications & Strategy

1. How can LangGraph be used in customer service bots?

2. How do fintech companies use LangGraph for workflow automation?

3. Can LangGraph support document processing + summarization pipelines?

4. How do you integrate LangGraph into an existing CRM system?

5. How do healthtech apps use LangGraph for triage or symptom checking?

6. Can LangGraph support real-time game-based decision trees?

7. How do you manage multi-user concurrency in LangGraph-powered apps?

8. How do you build a recommendation engine workflow using LangGraph?

9. What are some pitfalls when combining LangGraph with external APIs?

10. What are upcoming features or community contributions to LangGraph?