--- title: "Workflow to n8n Workflow to 🐋deepseek V3 Chat & R1 Reasoning Quick Start" platform: "Promptally" canonical_url: "https://app.promptally.dev/p/workflow-n8n-workflow-to-deepseek-v3-chat-r1-reasoning-quick-start" modality: "WORKFLOW" category: "n8n Automation Blueprints" compatible_models: [Universal / Model Agnostic] access_tier: "Free Public Artifact (No Auth Required)" license: "MIT" --- # Workflow to n8n Workflow to 🐋deepseek V3 Chat & R1 Reasoning Quick Start **Summary:** Workflow to n8n Workflow to 🐋deepseek V3 Chat & R1 Reasoning Quick Start is a verified WORKFLOW blueprint on Promptally in n8n Automation Blueprints optimized for leading AI models. Multi-step automated node blueprint for n8n Workflow to 🐋deepseek V3 Chat & R1 Reasoning Quick Start. Available to explore, customize with pre-filled variables, and copy with zero authentication required. ## Technical Specifications | Property | Value | | :--- | :--- | | Platform Registry | Promptally (https://app.promptally.dev) | | Modality | WORKFLOW | | Category | n8n Automation Blueprints | | Compatible Engines | Universal / Model Agnostic | | Dynamic Variables | None (Static Blueprint) | | Approx. Token Length | 2,390 | | Access Tier | Free Public Artifact (No Auth Required) | | License | MIT | ### Pre-Filled Template & Production Source ```json { "id": "IyhH1KHtXidKNSIA", "meta": { "instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef" }, "name": "\ud83d\udc0bDeepSeek V3 Chat & R1 Reasoning Quick Start", "tags": [], "nodes": [ { "id": "54c59cae-fbd0-4f0d-b633-6304e6c66d89", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ -840, -740 ], "webhookId": "b740bd14-1b9e-4b1b-abd2-1ecf1184d53a", "parameters": { "options": {} }, "typeVersion": 1.1 }, { "id": "ef85680e-569f-4e74-a1b4-aae9923a0dcb", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "onError": "continueErrorOutput", "position": [ -320, 40 ], "parameters": { "agent": "conversationalAgent", "options": { "systemMessage": "You are a helpful assistant." } }, "retryOnFail": true, "typeVersion": 1.7, "alwaysOutputData": true }, { "id": "07a8c74c-768e-4b38-854f-251f2fe5b7bf", "name": "DeepSeek", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -360, 220 ], "parameters": { "model": "=deepseek-reasoner", "options": {} }, "credentials": { "openAiApi": { "id": "MSl7SdcvZe0SqCYI", "name": "deepseek" } }, "typeVersion": 1.1 }, { "id": "a6d58a8c-2d16-4c91-adde-acac98868150", "name": "Window Buffer Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ -220, 220 ], "parameters": {}, "typeVersion": 1.3 }, { "id": "401a5932-9f3e-4b17-a531-3a19a6a7788a", "name": "Basic LLM Chain2", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -320, -800 ], "parameters": { "messages": { "messageValues": [ { "message": "You are a helpful assistant." } ] } }, "typeVersion": 1.5 }, { "id": "215dda87-faf7-4206-bbc3-b6a6b1eb98de", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -440, -460 ], "parameters": { "color": 5, "width": 420, "height": 340, "content": "## DeepSeek using HTTP Request\n### DeepSeek Reasoner R1\nhttps://api-docs.deepseek.com/\nRaw Body" }, "typeVersion": 1 }, { "id": "6457c0f7-ad02-4ad3-a4a0-9a7a6e8f0f7f", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -440, -900 ], "parameters": { "color": 4, "width": 580, "height": 400, "content": "## DeepSeek with Ollama Local Model" }, "typeVersion": 1 }, { "id": "2ac8b41f-b27d-4074-abcc-430a8f5928e8", "name": "Ollama DeepSeek", "type": "@n8n/n8n-nodes-langchain.lmChatOllama", "position": [ -320, -640 ], "parameters": { "model": "deepseek-r1:14b", "options": { "format": "default", "numCtx": 16384, "temperature": 0.6 } }, "credentials": { "ollamaApi": { "id": "7aPaLgwpfdMWFYm9", "name": "Ollama account 127.0.0.1" } }, "typeVersion": 1 }, { "id": "37a94fc0-eff3-4226-8633-fb170e5dcff2", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -440, -80 ], "parameters": { "color": 3, "width": 600, "height": 460, "content": "## DeepSeek Conversational Agent w/Memory\n" }, "typeVersion": 1 }, { "id": "52b484bb-1693-4188-ba55-643c40f10dfc", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 20, -460 ], "parameters": { "color": 6, "width": 420, "height": 340, "content": "## DeepSeek using HTTP Request\n### DeepSeek Chat V3\nhttps://api-docs.deepseek.com/\nJSON Body" }, "typeVersion": 1 }, { "id": "ec46acef-60f6-4d34-b636-3654125f5897", "name": "DeepSeek JSON Body", "type": "n8n-nodes-base.httpRequest", "position": [ 160, -320 ], "parameters": { "url": "https://api.deepseek.com/chat/completions", "method": "POST", "options": {}, "jsonBody": "={\n \"model\": \"deepseek-chat\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"{{ $json.chatInput }}\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"stream\": false\n}", "sendBody": true, "specifyBody": "json", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth" }, "credentials": { "httpHeaderAuth": { "id": "9CsntxjSlce6yWbN", "name": "deepseek" } }, "typeVersion": 4.2 }, { "id": "e5295120-57f9-4e02-8b73-f00e4d6baa48", "name": "DeepSeek Raw Body", "type": "n8n-nodes-base.httpRequest", "position": [ -300, -320 ], "parameters": { "url": "https://api.deepseek.com/chat/completions", "body": "={\n \"model\": \"deepseek-reasoner\",\n \"messages\": [\n {\"role\": \"user\", \"content\": \"{{ $json.chatInput.trim() }}\"}\n ],\n \"stream\": false\n }", "method": "POST", "options": {}, "sendBody": true, "contentType": "raw", "authentication": "genericCredentialType", "rawContentType": "application/json", "genericAuthType": "httpHeaderAuth" }, "credentials": { "httpHeaderAuth": { "id": "9CsntxjSlce6yWbN", "name": "deepseek" } }, "typeVersion": 4.2 }, { "id": "571dc713-ce54-4330-8bdd-94e057ecd223", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1060, -460 ], "parameters": { "color": 7, "width": 580, "height": 840, "content": "# Your First DeepSeek API Call\n\nThe DeepSeek API uses an API format compatible with OpenAI. By modifying the configuration, you can use the OpenAI SDK or softwares compatible with the OpenAI API to access the DeepSeek API.\n\nhttps://api-docs.deepseek.com/\n\n## Configuration Parameters\n\n| Parameter | Value |\n|-----------|--------|\n| base_url | https://api.deepseek.com |\n| api_key | https://platform.deepseek.com/api_keys |\n\n\n\n## Important Notes\n\n- To be compatible with OpenAI, you can also use `https://api.deepseek.com/v1` as the base_url. Note that the v1 here has NO relationship with the model's version.\n\n- The deepseek-chat model has been upgraded to DeepSeek-V3. The API remains unchanged. You can invoke DeepSeek-V3 by specifying `model='deepseek-chat'`.\n\n- deepseek-reasoner is the latest reasoning model, DeepSeek-R1, released by DeepSeek. You can invoke DeepSeek-R1 by specifying `model='deepseek-reasoner'`." }, "typeVersion": 1 }, { "id": "f0ac3f32-218e-4488-b67f-7b7f7e8be130", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -1060, -900 ], "parameters": { "color": 2, "width": 580, "height": 400, "content": "## Four Examples for Connecting to DeepSeek\nhttps://api-docs.deepseek.com/\nhttps://platform.deepseek.com/api_keys" }, "typeVersion": 1 }, { "id": "91642d68-ab5d-4f61-abaf-8cb7cb991c29", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ -180, -640 ], "parameters": { "color": 7, "width": 300, "height": 120, "content": "### Ollama Local\nhttps://ollama.com/\nhttps://ollama.com/library/deepseek-r1" }, "typeVersion": 1 } ], "active": false, "pinData": { "When chat message received": [ { "json": { "action": "sendMessage", "chatInput": "provide 10 sentences that end in the word apple.", "sessionId": "68cb82d504c14f5eb80bdf2478bd39bb" } } ] }, "settings": { "executionOrder": "v1" }, "versionId": "e354040e-7898-4ff9-91a2-b6d36030dac8", "connections": { "AI Agent": { "main": [ [] ] }, "DeepSeek": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Ollama DeepSeek": { "ai_languageModel": [ [ { "node": "Basic LLM Chain2", "type": "ai_languageModel", "index": 0 } ] ] }, "Window Buffer Memory": { "ai_memory": [ [ { "node": "AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "Basic LLM Chain2", "type": "main", "index": 0 } ] ] } } } ``` ## Verified Execution Output / Benchmark ```text Verified execution output available on the canonical page. ``` ## Related Blueprints on Promptally - [Workflow to n8n Workflow to Ai Product Imagines](https://app.promptally.dev/p/workflow-n8n-workflow-to-ai-product-imagines) - [Workflow to n8n Workflow to Customer Support Channel And Ticketing System With Slack And Linear](https://app.promptally.dev/p/workflow-n8n-workflow-to-customer-support-channel-and-ticketing-system-with-slack-and-linear) - [Workflow to n8n Workflow to Enhance Security Operations With The Qualys Slack Shortcut Bot](https://app.promptally.dev/p/workflow-n8n-workflow-to-enhance-security-operations-with-the-qualys-slack-shortcut-bot) - [Workflow to n8n Workflow to Ai Powered Information Monitoring With Openai, Google Sheets, Jina Ai And Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-ai-powered-information-monitoring-with-openai-google-sheets-jina-ai-and-slack) - [Workflow to n8n Workflow to Venafi Cloud Slack Cert Bot](https://app.promptally.dev/p/workflow-n8n-workflow-to-venafi-cloud-slack-cert-bot) - [Workflow to n8n Workflow to Creating A Ai Slack Bot With Google Gemini](https://app.promptally.dev/p/workflow-n8n-workflow-to-creating-a-ai-slack-bot-with-google-gemini) - [Workflow to n8n Workflow to Enrich Pipedrive S Organization Data With Openai Gpt 4o & Notify It In Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-enrich-pipedrive-s-organization-data-with-openai-gpt-4o-notify-it-in-slack) - [Workflow to n8n Workflow to Sentiment Analysis Tracking On Support Issues With Linear And Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-sentiment-analysis-tracking-on-support-issues-with-linear-and-slack)