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cascadeflow provides two community nodes for n8n workflows: a Model sub-node for drop-in cascade routing and an Agent node for standalone multi-step reasoning. The important part is not only cheaper routing; it is making no-code agent workflows measurable and governable at runtime.

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Install

In n8n:
  1. Go to Settings > Community Nodes
  2. Search for: @cascadeflow/n8n-nodes-cascadeflow
  3. Click Install
Or via npm:

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Two Nodes

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CascadeFlow (Model)

Drop-in replacement for any AI Chat Model in n8n chains:
  1. Add two AI Chat Model nodes (cheap drafter + powerful verifier)
  2. Add CascadeFlow (Model) and connect both models
  3. Connect to a Basic LLM Chain or Chain node
  4. Check the Logs tab to see cascade decisions
Features:
  • Quality threshold (default: 0.4)
  • 16 supported domains (Code, Math, Data, Legal, Medical, Financial, etc.)
  • Complexity thresholds for automatic routing

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CascadeFlow Agent

Standalone agent with tool calling and multi-step reasoning:
  1. Add a Chat Trigger node
  2. Add CascadeFlow Agent and connect to the trigger
  3. Connect Drafter, Verifier, optional Memory and Tools
  4. Check the Output tab for cascade metadata and decision trace
Features:
  • Harness mode: observe or enforce
  • Budget caps and tool call limits
  • Tool routing rules: Cascade (default) or Verifier (for high-stakes tools)
  • Tool call validation with JSON schema checking

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Complexity Thresholds

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Result

40-85% cost savings in n8n workflows with zero changes to existing chains. That gives n8n teams a path from basic optimization to budget-aware and policy-aware workflow control.
Package on GitHub: packages/integrations/n8n/ | n8n Troubleshooting