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AI Agents & Assistants

Plan Activities with OpenAI Agents and a Web Scraper

When you run it, OpenAI agents use an activity tool and a web scraper to find information and answer the request.

What it does

# Stickynote Workflow ## Overview Automated workflow: Stickynote Workflow. This workflow integrates 7 different services: stickyNote, toolHttpRequest, agent, set, stopAndError. It contains 18 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 18 - Node Types: 7 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Sticky Note: stickyNote - OpenAI Chat Model: lmChatOpenAi - Sticky Note1: stickyNote - OpenAI Chat Model1: lmChatOpenAi - Activity Tool: toolHttpRequest - Set ChatInput1: set - AI Agent1: agent - Set ChatInput: set - When clicking ‘Test workflow’: manualTrigger - AI Agent: agent - ... and 8 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. OpenAI Chat Model
  2. OpenAI Chat Model1
  3. Activity Tool
  4. Set ChatInput1
  5. AI Agent1
  6. Set ChatInput
  7. When clicking ‘Test workflow’
  8. AI Agent
  9. Webscraper Tool
  10. Error Handler
  11. Stopanderror 1
  12. Error Handler for 9fc05c79
  13. Error Handler for bc1754e6
  14. Error Handler for a40230ae

30 steps in total.

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