Chat mit den Reasoning-Modellen DeepSeek V3 und R1

# 🐋DeepSeek V3 Chat & R1 Reasoning Quick Start ## Overview Automated workflow: 🐋DeepSeek V3 Chat & R1 Reasoning Quick Start. This workflow integrates 9 different services: stickyNote, httpRequest, agent, chainLlm, stopAndError. It contains 20 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 20 - Node Types: 9 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When chat message received: chatTrigger - AI Agent: agent - DeepSeek: lmChatOpenAi - Window Buffer Memory: memoryBufferWindow - Basic LLM Chain2: chainLlm - Sticky Note: stickyNote - Sticky Note1: stickyNote - Ollama DeepSeek: lmChatOllama - Sticky Note2: stickyNote - Sticky Note3: stickyNote - ... and 10 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