Query BigQuery with an OpenAI Control Tower Agent

# Lmchatopenai Workflow ## Overview Automated workflow: Lmchatopenai Workflow. This workflow integrates 10 different services: stickyNote, code, agent, stopAndError, lmChatOpenAi. It contains 14 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 14 - Node Types: 10 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - OpenAI Chat Model: lmChatOpenAi - AI Control Tower Agent: agent - Sticky Note1: stickyNote - Sticky Note2: stickyNote - Call Query Tool: toolWorkflow - Sticky Note: stickyNote - Query Database: googleBigQuery - Trigger Executed by the AI Tool: executeWorkflowTrigger - Sanitising the Query: code - Chat Memory: memoryBufferWindow - ... and 4 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