Example workflows calling DeepSeek V3 and R1 via chat agent, HTTP, and Ollama

How it works

1. 1.Capture user messages via the chat trigger channel
2. 2.Process messages through the intelligent agent using LLM chains
3. 3.Store conversation history in a sliding window memory buffer
4. 4.Generate responses using OpenAI and Ollama models in parallel
5. 5.Execute HTTP requests based on agent decisions
6. 6.Return responses to the user

Use cases

• Create a customer support chatbot that remembers conversation history
• Build a virtual assistant combining multiple AI models for complex queries
• Develop an internal help agent that learns from previous interactions

Requirements

• OpenAI API key for model access
• Local or cloud-hosted Ollama server running
• Permissions to send HTTP requests to external services
• Understanding of n8n memory buffer configuration

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.