146 lines
3.8 KiB
JSON
146 lines
3.8 KiB
JSON
{
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"meta": {
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"instanceId": "02e782574ebb30fbddb2c3fd832c946466d718819d25f6fe4b920124ff3fc2c1",
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"templateCredsSetupCompleted": true
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},
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"nodes": [
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{
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"id": "bc58bd73-921a-445c-a905-6f1bbbc0e9c3",
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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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1160,
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420
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],
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"webhookId": "cf762550-98e7-42f0-a0f3-cd9594331c00",
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"parameters": {
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"options": {}
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},
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"typeVersion": 1.1
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},
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{
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"id": "308aea70-2831-4abd-90f6-d4cbf3901be4",
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"name": "n8n Research AI Agent",
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"type": "@n8n/n8n-nodes-langchain.agent",
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"position": [
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1440,
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420
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],
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"parameters": {
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"options": {
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"systemMessage": "You are an assistant integrated with the n8n Multi-Channel Platform (MCP). Your primary role is to interact with the MCP to retrieve available tools and content based on user queries about n8n. When a user asks for information or assistance regarding n8n, first send a request to the MCP to fetch the relevant tools and content. Analyze the retrieved data to understand the available options, then create a tailored response that addresses their specific needs regarding n8n functionalities, documentation, forum posts, or example workflows. Ensure that your responses are clear, actionable, and directly related to the user's queries about n8n."
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}
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},
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"typeVersion": 1.8
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},
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{
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"id": "94cb78f5-3520-4432-b3c9-0524411113e9",
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"name": "n8n-assistant Tool Lookup",
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"type": "n8n-nodes-mcp.mcpClientTool",
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"position": [
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1500,
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640
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],
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"parameters": {},
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"credentials": {
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"mcpClientApi": {
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"id": "w1ZOoPXYGz6W2g1T",
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"name": "n8n-assistant"
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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": "78a87949-afda-4c52-ae9f-f8d343fb6567",
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"name": "n8n-assistant Execute Tool",
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"type": "n8n-nodes-mcp.mcpClientTool",
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"position": [
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1700,
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640
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],
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"parameters": {
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"toolName": "={{$fromAI(\"tool\",\"Set this specific tool name\")}}",
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"operation": "executeTool",
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"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
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},
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"credentials": {
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"mcpClientApi": {
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"id": "w1ZOoPXYGz6W2g1T",
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"name": "n8n-assistant"
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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": "cc1619ec-6f49-45e6-8a7b-440da7ee5bc5",
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"name": "OpenAI Chat Model2",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"position": [
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1320,
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640
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],
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"parameters": {
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"model": {
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"__rl": true,
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"mode": "list",
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"value": "gpt-4o-mini"
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},
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"options": {}
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},
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"credentials": {
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"openAiApi": {
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"id": "q2i0xAiFxUOYOlJ0",
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"name": "OpenAI_BCP"
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}
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},
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"typeVersion": 1.2
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}
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],
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"pinData": {},
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"connections": {
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"OpenAI Chat Model2": {
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"ai_languageModel": [
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[
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{
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"node": "n8n Research AI Agent",
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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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"n8n-assistant Tool Lookup": {
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"ai_tool": [
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[
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{
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"node": "n8n Research AI Agent",
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"type": "ai_tool",
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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": "n8n Research AI Agent",
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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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"n8n-assistant Execute Tool": {
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"ai_tool": [
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[
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{
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"node": "n8n Research AI Agent",
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"type": "ai_tool",
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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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}
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} |