Web Search AI Agent with SearchApi and OpenAI

# SearchApi AI Agent ## Overview Automated workflow: SearchApi AI Agent. This workflow integrates 7 different services: stickyNote, agent, stopAndError, lmChatOpenAi, memoryBufferWindow. It contains 10 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 10 - Node Types: 7 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When chat message received: chatTrigger - Simple Memory: memoryBufferWindow - AI Agent: agent - Sticky Note: stickyNote - Sticky Note1: stickyNote - SearchApi: searchApiTool - OpenAI Chat Model: lmChatOpenAi - Error Handler: stopAndError - Error Handler for 45085fa9: stopAndError - Error Handler for f4edfcf7: stopAndError ## 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