Automate DeepSeek AI: R1 Reasoning & V3 Chat Workflows
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Unlock DeepSeek's power with n8n! Automate R1 Reasoning & V3 Chat, integrate via API or Ollama, and build intelligent workflows. Save time & boost productivity.
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About This Workflow
How it works
This n8n workflow demonstrates multiple ways to interact with DeepSeek AI models, including the R1 Reasoning model and the V3 Chat model. It showcases:
- DeepSeek R1 Reasoning via HTTP Request: Directly calls the DeepSeek API with a raw request body to leverage the reasoning capabilities.
- DeepSeek V3 Chat via HTTP Request: Utilizes a JSON body to send messages to the DeepSeek chat API, enabling conversational AI applications.
- DeepSeek Conversational Agent with Memory: Integrates the
AI Agentnode withWindow Buffer Memoryand theDeepSeek(lmChatOpenAi) node to create stateful, conversational AI experiences. - DeepSeek R1 via Ollama (Local Model): Connects to a locally hosted DeepSeek R1 model using the
lmChatOllamanode, offering a flexible and private deployment option.
The workflow also includes sticky notes providing essential API documentation links, configuration parameters, and usage notes for both cloud and local deployments.
Key Features
- Leverage DeepSeek R1 for advanced reasoning tasks.
- Integrate DeepSeek V3 Chat for conversational AI applications.
- Implement stateful AI agents with conversation memory.
- Connect to local DeepSeek R1 models via Ollama.
- Direct API interaction using HTTP Request nodes.
How To Use
- DeepSeek API Credentials: Obtain an API key from DeepSeek Platform and configure it under
credentials.httpHeaderAuthfor thedeepseeknamed credential. - Ollama Setup (Optional): If using the Ollama node, ensure Ollama is installed and running locally, and pull the
deepseek-r1:14bmodel:ollama pull deepseek-r1:14b. Configure the Ollama credentials. - Trigger: The
When chat message receivednode acts as a webhook trigger. Configure its webhook URL. - AI Agent Node: Connect the
AI Agentnode to your desired AI model (e.g.,DeepSeekorOllama DeepSeek). Configure itssystemMessageand connectWindow Buffer Memoryfor conversational context. - HTTP Request Nodes: For direct API calls, ensure the
url,method, andbody/jsonBodyare correctly configured. ThedeepseekHTTP header credential will be used. - Node Connections: Connect the nodes according to your desired logic. For example, the
When chat message receivednode can trigger anAI Agentor aBasic LLM Chain.
Apps Used
Workflow JSON
{
"id": "9fe6003c-df89-47f5-b392-99318581d27c",
"name": "Automate DeepSeek AI: R1 Reasoning & V3 Chat Workflows",
"nodes": 0,
"category": "AI & LLM",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 9fe6003c-df89...
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