Produktfotografie-Prompts aus Bildern mit OpenAI Vision erzeugen

# Lmchatopenai Workflow ## Overview Automated workflow: Lmchatopenai Workflow. This workflow integrates 11 different services: convertToFile, stickyNote, httpRequest, chainLlm, merge. It contains 31 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 31 - Node Types: 11 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - OpenAI Chat Model: lmChatOpenAi - Merge: merge - Read Image URLs: googleSheets - Download Images: httpRequest - Analyze Images: openAi - Product Photography Prompt: chainLlm - Send Image with Prompt to OpenAI: httpRequest - Convert Base64 to File: convertToFile - Upload to Drive: googleDrive - Insert Image URL in Table: googleSheets - ... and 21 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