A/B Test AI Chat Prompts with OpenAI and Supabase

# A/B Split Testing ## Overview Automated workflow: A/B Split Testing. This workflow integrates 9 different services: stickyNote, agent, memoryPostgresChat, set, stopAndError. It contains 17 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 17 - Node Types: 9 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When chat message received: chatTrigger - AI Agent: agent - Check If Session Exists: supabase - If Session Does Exist: if - Assign Path To Session: supabase - Define Path Values: set - OpenAI Chat Model: lmChatOpenAi - Postgres Chat Memory: memoryPostgresChat - Sticky Note1: stickyNote - Sticky Note: stickyNote - ... and 7 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