Process Product and Marketing Requests with OpenAI Agents

# Executeworkflowtrigger Workflow ## Overview Automated workflow: Executeworkflowtrigger Workflow. This workflow integrates 10 different services: stickyNote, agent, outputParserStructured, merge, set. It contains 30 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 30 - Node Types: 10 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Execute Workflow Trigger: executeWorkflowTrigger - Structured Output Parser1: outputParserStructured - Marketing AI Agent Processor: agent - Structured Output Parser2: outputParserStructured - Product AI Agent Processor: agent - Sales Data Processor: executeWorkflow - Marketing Data Processor: executeWorkflow - Product AI Data Processor: executeWorkflow - Data Recall Sales: set - Data Recall Marketing: set - ... and 20 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