The Logic of Transition
**Edges** define how an agent moves between tasks. We look at how to build **Custom Edge Types** that use complex conditional logic (based on state, tool outputs, or user input) to route the agent to the most appropriate next step in the reasoning chain.
Implementing Dynamic Routing
We explore how to use semantic similarity or rule-based engines within your edges to create highly responsive and intelligent workflows. By mastering these custom transitions, you build agents that can navigate complex and unpredictable problem spaces with the logic and care of a human expert.
Conclusion
Flow is the essence of agency. By mastering custom edge types in LangGraph, you transform your autonomous workflows into a dynamic and highly effective engine of decision-making, ensuring that every task is handled by the right expert node at the right time.