Acuity Scheduling Support Chatbot with OpenAI

# Chattrigger Workflow ## Overview Automated workflow: Chattrigger Workflow. This workflow integrates 13 different services: stickyNote, httpRequest, agent, splitOut, set. It contains 19 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 19 - Node Types: 13 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When chat message received: chatTrigger - OpenAI Chat Model: lmChatOpenAi - Simple Memory: memoryBufferWindow - Acuity Support Search API: httpRequest - Extract Relevant Fields: set - Results to Items: splitOut - Has Results?: if - Empty Response: set - Aggregate Response: aggregate - Knowledgebase Tool: toolWorkflow - ... and 9 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