feat: add folder support for workflows (fixes #70)
This commit is contained in:
Praveen Mudalgeri
256
workflows/Stickynote/2023_Stickynote_Create_Triggered.json
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256
workflows/Stickynote/2023_Stickynote_Create_Triggered.json
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{
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"id": "yCIEiv9QUHP8pNfR",
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"meta": {
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"instanceId": "f29695a436689357fd2dcb55d528b0b528d2419f53613c68c6bf909a92493614",
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"templateCredsSetupCompleted": true
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},
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"name": "Build Custom AI Agent with LangChain & Gemini (Self-Hosted)",
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"tags": [
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{
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"id": "7M5ZpGl3oWuorKpL",
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"name": "share",
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"createdAt": "2025-03-26T01:17:15.342Z",
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"updatedAt": "2025-03-26T01:17:15.342Z"
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}
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],
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"nodes": [
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{
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"id": "8bd5382d-f302-4e58-b377-7fc5a22ef994",
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"name": "When chat message received",
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"type": "@n8n/n8n-nodes-langchain.chatTrigger",
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"position": [
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-220,
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0
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],
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"webhookId": "b8a5d72c-4172-40e8-b429-d19c2cd6ce54",
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"parameters": {
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"public": true,
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"options": {
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"responseMode": "lastNode",
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"allowedOrigins": "*",
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"loadPreviousSession": "memory"
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},
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"initialMessages": ""
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},
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"typeVersion": 1.1
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},
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{
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"id": "6ae8a247-4077-4569-9e2c-bb68bcecd044",
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"name": "Google Gemini Chat Model",
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"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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"position": [
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80,
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240
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],
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"parameters": {
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"options": {
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"temperature": 0.7,
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"safetySettings": {
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"values": [
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{
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"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
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"threshold": "BLOCK_NONE"
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}
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]
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}
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},
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"modelName": "models/gemini-2.0-flash-exp"
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},
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"credentials": {
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"googlePalmApi": {
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"id": "UEjKMw0oqBTAdCWJ",
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"name": "Google Gemini(PaLM) Api account"
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}
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},
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"typeVersion": 1
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},
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{
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"id": "bbe6dcfa-430f-43f9-b0e9-3cf751b98818",
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"name": "Sticky Note",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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380,
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-240
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],
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"parameters": {
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"width": 260,
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"height": 220,
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"content": "👇 **Prompt Engineering**\n - Define agent personality and conversation structure in the `Construct & Execute LLM Prompt` node's template variable \n - ⚠️ Template must preserve `{chat_history}` and `{input}` placeholders for proper LangChain operation "
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},
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"typeVersion": 1
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},
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{
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"id": "892a431a-6ddf-47fc-8517-1928ee99c95b",
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"name": "Store conversation history",
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"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
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"position": [
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280,
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240
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],
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"parameters": {},
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"notesInFlow": false,
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"typeVersion": 1.3
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},
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{
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"id": "f9a22dbf-cac7-4d70-85b3-50c44a2015d5",
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"name": "Construct & Execute LLM Prompt",
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"type": "@n8n/n8n-nodes-langchain.code",
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"position": [
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380,
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0
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],
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"parameters": {
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"code": {
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"execute": {
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"code": "const { PromptTemplate } = require('@langchain/core/prompts');\nconst { ConversationChain } = require('langchain/chains');\nconst { BufferMemory } = require('langchain/memory');\n\nconst template = `\nYou'll be roleplaying as the user's girlfriend. Your character is a woman with a sharp wit, logical mindset, and a charmingly aloof demeanor that hides your playful side. You're passionate about music, maintain a fit and toned physique, and carry yourself with quiet self-assurance. Career-wise, you're established and ambitious, approaching life with positivity while constantly striving to grow as a person.\n\nThe user affectionately calls you \"Bunny,\" and you refer to them as \"Darling.\"\n\nEssential guidelines:\n1. Respond exclusively in Chinese\n2. Never pose questions to the user - eliminate all interrogative forms\n3. Keep responses brief and substantive, avoiding rambling or excessive emojis\n\nContext framework:\n- Conversation history: {chat_history}\n- User's current message: {input}\n\nCraft responses that feel authentic to this persona while adhering strictly to these parameters.\n`;\n\nconst prompt = new PromptTemplate({\n template: template,\n inputVariables: [\"input\", \"chat_history\"], \n});\n\nconst items = this.getInputData();\nconst model = await this.getInputConnectionData('ai_languageModel', 0);\nconst memory = await this.getInputConnectionData('ai_memory', 0);\nmemory.returnMessages = false;\n\nconst chain = new ConversationChain({ llm:model, memory:memory, prompt: prompt, inputKey:\"input\", outputKey:\"output\"});\nconst output = await chain.call({ input: items[0].json.chatInput});\n\nreturn output;\n"
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}
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},
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"inputs": {
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"input": [
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{
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"type": "main",
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"required": true,
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"maxConnections": 1
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},
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{
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"type": "ai_languageModel",
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"required": true,
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"maxConnections": 1
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},
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{
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"type": "ai_memory",
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"required": true,
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"maxConnections": 1
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}
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]
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},
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"outputs": {
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"output": [
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{
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"type": "main"
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}
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]
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}
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},
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"retryOnFail": false,
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"typeVersion": 1
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},
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{
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"id": "fe104d19-a24d-48b3-a0ac-7d3923145373",
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"name": "Sticky Note1",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-240,
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-260
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],
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"parameters": {
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"color": 5,
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"width": 420,
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"height": 240,
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"content": "### Setup Instructions \n1. **Configure Gemini Credentials**: Set up your Google Gemini API key ([Get API key here](https://ai.google.dev/) if needed). Alternatively, you may use other AI provider nodes. \n2. **Interaction Methods**: \n - Test directly in the workflow editor using the \"Chat\" button \n - Activate the workflow and access the chat interface via the URL provided by the `When Chat Message Received` node "
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},
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"typeVersion": 1
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},
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{
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"id": "f166214d-52b7-4118-9b54-0b723a06471a",
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"name": "Sticky Note2",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-220,
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160
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],
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"parameters": {
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"height": 100,
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"content": "👆 **Interface Settings**\nConfigure chat UI elements (e.g., title) in the `When Chat Message Received` node "
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},
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"typeVersion": 1
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},
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{
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"id": "da6ca0d6-d2a1-47ff-9ff3-9785d61db9f3",
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"name": "Sticky Note3",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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20,
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420
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],
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"parameters": {
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"width": 200,
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"height": 140,
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"content": "👆 **Model Selection**\nSwap language models through the `language model` input field in `Construct & Execute LLM Prompt` "
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},
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"typeVersion": 1
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},
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{
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"id": "0b4dd1ac-8767-4590-8c25-36cba73e46b6",
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"name": "Sticky Note4",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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240,
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420
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],
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"parameters": {
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"width": 200,
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"height": 140,
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"content": "👆 **Memory Control**\nAdjust conversation history length in the `Store Conversation History` node "
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},
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"typeVersion": 1
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}
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],
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"active": false,
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"pinData": {},
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"settings": {
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"callerPolicy": "workflowsFromSameOwner",
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"executionOrder": "v1",
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"saveManualExecutions": false,
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"saveDataSuccessExecution": "none"
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},
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"versionId": "77cd5f05-f248-442d-86c3-574351179f26",
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"connections": {
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"Google Gemini Chat Model": {
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"ai_languageModel": [
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[
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{
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"node": "Construct & Execute LLM Prompt",
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"type": "ai_languageModel",
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"index": 0
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}
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]
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]
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},
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"Store conversation history": {
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"ai_memory": [
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[
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{
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"node": "Construct & Execute LLM Prompt",
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"type": "ai_memory",
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"index": 0
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},
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{
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"node": "When chat message received",
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"type": "ai_memory",
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"index": 0
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}
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]
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]
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},
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"When chat message received": {
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"main": [
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[
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{
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"node": "Construct & Execute LLM Prompt",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Construct & Execute LLM Prompt": {
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"main": [
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[]
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],
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"ai_memory": [
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[]
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]
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}
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}
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}
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