DeepSeek V3 Chat und R1 Reasoning Schnelleinstieg
Dies ist ein Building Blocks, AI-Bereich Automatisierungsworkflow mit 15 Nodes. Hauptsächlich werden HttpRequest, Agent, ChainLlm, ChatTrigger, LmChatOllama und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. 🐥 Schnelleinstieg in DeepSeek V3 Chat und R1-Reasoning
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •OpenAI API Key
Verwendete Nodes (15)
Kategorie
{
"id": "IyhH1KHtXidKNSIA",
"meta": {
"instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef"
},
"name": "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start",
"tags": [],
"nodes": [
{
"id": "54c59cae-fbd0-4f0d-b633-6304e6c66d89",
"name": "Wenn Chat-Nachricht empfangen wird",
"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": "KI-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 Speicher",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-220,
220
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "401a5932-9f3e-4b17-a531-3a19a6a7788a",
"name": "Basic LLM Kette2",
"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": "Notizzettel",
"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": "Notizzettel1",
"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": "Notizzettel2",
"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": "Notizzettel3",
"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": "Notizzettel4",
"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": "Notizzettel5",
"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": "Notizzettel6",
"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": {
"ef85680e-569f-4e74-a1b4-aae9923a0dcb": {
"main": [
[]
]
},
"07a8c74c-768e-4b38-854f-251f2fe5b7bf": {
"ai_languageModel": [
[
{
"node": "ef85680e-569f-4e74-a1b4-aae9923a0dcb",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"2ac8b41f-b27d-4074-abcc-430a8f5928e8": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain2",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "ef85680e-569f-4e74-a1b4-aae9923a0dcb",
"type": "ai_memory",
"index": 0
}
]
]
},
"54c59cae-fbd0-4f0d-b633-6304e6c66d89": {
"main": [
[
{
"node": "Basic LLM Chain2",
"type": "main",
"index": 0
}
]
]
}
}
}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Fortgeschritten - Bausteine, Künstliche Intelligenz
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Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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Joseph LePage
@joeAs an AI Automation consultant based in Canada, I partner with forward-thinking organizations to implement AI solutions that streamline operations and drive growth.
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