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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
- When clicking ‘Test workflow’
- HTTP Request
- Markdown
- Anthropic Chat Model
- Anthropic Chat Model1
- Anthropic Chat Model2
- Anthropic Chat Model3
- Merge
- Simple Memory
- Clean memory
- Initial prompts
- Split Out
- Reshape
- Anthropic Chat Model4
59 steps in total.
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