Graph-Based Workflows
Build scalable multi-agent systems with directed acyclic graphs
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0 / 5 completedDynamic Routing
Dynamic routing allows workflows to take different paths based on runtime conditions. Instead of predetermined flows, the graph adapts to results, errors, or user decisions.
Interactive: Conditional Path Simulator
Choose a condition to see how the workflow dynamically routes to different paths.
Start
Process
Validate
Success
Error Handler
Retry
Manual Review
Approve
ACTIVE PATH:
Select a condition to simulate routing
Routing Strategies
Conditional Edges
Branch based on node output (if/else logic)
Error Handling
Separate paths for success vs failure
Dynamic Selection
Choose path at runtime based on context
Use Cases
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Fallback Chains
Try primary, fallback to secondary on fail
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Human-in-Loop
Route to manual review for ambiguous cases
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Adaptive Processing
Optimize path based on data characteristics
💡 Key Insight
Dynamic routing makes workflows resilient and adaptive. Instead of rigid pipelines that break on unexpected conditions, graph-based workflows can handle errors gracefully, incorporate human judgment when needed, and optimize paths based on runtime data. This flexibility is essential for production agent systems.