Workflow: Stickynote Send

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{
    "meta": {
        "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
        "templateCredsSetupCompleted": true
    },
    "nodes": [
        {
            "id": "27e5f0c0-ba88-4c28-b3be-99c973be15cb",
            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                -480,
                -140
            ],
            "parameters": {
                "width": 1083,
                "height": 357,
                "content": "## This is an example of basic LLM Chain connected to an open-source model\n### The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this\n\nPlease note the initial prompt that guides the model:\n```\nYou are a helpful assistant.\nPlease reply politely to the users.\nUse emojis and a text.\nQ: {{ $json.input }}\nA: \n```\n\nThis way the model \"knows\" that it needs to answer the question right after the `A: `.\n\nSince Hugging Face node is this is an inference mode, it does not support LangChain Agents at the moment. Please use [Ollama Chat Model](https:\/\/docs.n8n.io\/integrations\/builtin\/cluster-nodes\/sub-nodes\/n8n-nodes-langchain.lmchatollama\/) node for that"
            },
            "typeVersion": 1
        },
        {
            "id": "4756d5a8-7027-4942-b214-a5ff8310869a",
            "name": "When chat message received",
            "type": "@n8n\/n8n-nodes-langchain.chatTrigger",
            "position": [
                -200,
                280
            ],
            "webhookId": "bf2e38b8-566a-4aeb-8efe-28240f4a6991",
            "parameters": {
                "options": []
            },
            "typeVersion": 1.100000000000000088817841970012523233890533447265625
        },
        {
            "id": "20a36351-8579-4ac6-9746-526b072aeaa6",
            "name": "Basic LLM Chain",
            "type": "@n8n\/n8n-nodes-langchain.chainLlm",
            "position": [
                20,
                280
            ],
            "parameters": {
                "messages": {
                    "messageValues": [
                        {
                            "message": "=You are a helpful assistant. Please reply politely to the users. Use emojis and a text."
                        }
                    ]
                }
            },
            "typeVersion": 1.5
        },
        {
            "id": "9b88e307-3ad5-4167-8c5f-e5827f7444ac",
            "name": "Hugging Face Inference Model",
            "type": "@n8n\/n8n-nodes-langchain.lmOpenHuggingFaceInference",
            "position": [
                120,
                440
            ],
            "parameters": {
                "model": "mistralai\/Mistral-7B-Instruct-v0.1",
                "options": {
                    "maxTokens": 512,
                    "temperature": 0.8000000000000000444089209850062616169452667236328125,
                    "frequencyPenalty": 2
                }
            },
            "credentials": {
                "huggingFaceApi": {
                    "id": "ARQ5mOhvBxi283Qk",
                    "name": "HuggingFaceApi account"
                }
            },
            "typeVersion": 1
        }
    ],
    "pinData": [],
    "connections": {
        "When chat message received": {
            "main": [
                [
                    {
                        "node": "Basic LLM Chain",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Hugging Face Inference Model": {
            "ai_languageModel": [
                [
                    {
                        "node": "Basic LLM Chain",
                        "type": "ai_languageModel",
                        "index": 0
                    }
                ]
            ]
        }
    }
}
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