LangChain - LangGraph for Stateful Agents
You want to build a workflow where AgentX sends data to AgentY, and AgentY processes it and sends results to AgentZ. Which multi-agent graph setup correctly represents this flow?
You want to build a workflow where AgentX sends data to AgentY, and AgentY processes it and sends results to AgentZ. Which multi-agent graph setup correctly represents this flow?
hard📝 state output Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Identify the data flow between agents
AgentX sends to AgentY, then AgentY sends to AgentZ, so edges must follow this order.Step 2: Match edges to the described flow
Add agents AgentX, AgentY, AgentZ; add edges AgentX->AgentY and AgentY->AgentZ correctly adds edges from AgentX to AgentY and AgentY to AgentZ, representing the workflow.Final Answer:
Add agents AgentX, AgentY, AgentZ; add edges AgentX->AgentY and AgentY->AgentZ -> Option BQuick Check:
Edges follow data flow direction [OK]
Quick Trick: Edges must follow the exact data flow between agents [OK]
Common Mistakes:
MISTAKES- Reversing edge directions
- Omitting necessary agents or edges
- Assuming edges are optional for workflows
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