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AI / Agentic AI Interview Questions

Describe LangGraph's role in agent architecture?

LangGraph represents an agent's workflow as a cyclical graph of nodes and edges, rather than leaving the entire flow of control up to the language model's own judgment.

  • Nodes represent discrete functions or steps, like drafting a response or calling a tool
  • Edges represent the possible transitions between nodes, often chosen conditionally based on the agent's output
  • The model only decides which existing edge to take, it can't invent a transition path that isn't defined in the graph

This constrained, graph-based approach is described as the current standard for enterprise agent architecture in 2026, precisely because it makes an agent's possible behaviors predictable and auditable rather than fully open-ended.

What do nodes represent in a LangGraph workflow?
Can the model invent a transition path not defined in the graph?

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