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AI Agents & Assistants

LLM Chaining Examples with Claude

When you run it manually or call the webhook, it fetches a web page and passes it through several chained Anthropic Claude models in sequence.

What it does

# LLM Chaining examples ## Overview Automated workflow: LLM Chaining examples. This workflow integrates 15 different services: webhook, stickyNote, httpRequest, markdown, agent. It contains 44 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 44 - Node Types: 15 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When clicking ‘Test workflow’: manualTrigger - HTTP Request: httpRequest - Markdown: markdown - Sticky Note: stickyNote - Anthropic Chat Model: lmChatAnthropic - Anthropic Chat Model1: lmChatAnthropic - Anthropic Chat Model2: lmChatAnthropic - Anthropic Chat Model3: lmChatAnthropic - Merge: merge - Simple Memory: memoryBufferWindow - ... and 34 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. When clicking ‘Test workflow’
  2. HTTP Request
  3. Markdown
  4. Anthropic Chat Model
  5. Anthropic Chat Model1
  6. Anthropic Chat Model2
  7. Anthropic Chat Model3
  8. Merge
  9. Simple Memory
  10. Clean memory
  11. Initial prompts
  12. Split Out
  13. Reshape
  14. Anthropic Chat Model4

59 steps in total.

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