{ "name": "Orchestrator v2 - Enhanced", "nodes": [ { "parameters": { "public": true, "initialMessages": "Give financial metrics for AAPL", "options": {} }, "type": "@n8n/n8n-nodes-langchain.chatTrigger", "typeVersion": 1.3, "position": [ -416, -128 ], "id": "864688c6-1c41-4eab-85ef-8efb51566c9a", "name": "When chat message received" }, { "parameters": { "model": "llama3:latest", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOllama", "typeVersion": 1, "position": [ -176, 48 ], "id": "29165b1f-3e8d-4c17-acce-32940c94fa71", "name": "Ollama Chat Model" }, { "parameters": { "messages": { "messageValues": [ { "message": "You are a tool dispatcher. Analyze the user's request and return a JSON object with the tool name and parameters. Do not include any explanation or markdown formatting. Return only the JSON object.\n\nAvailable tools and their parameters:\n\n- **patent-monitor**\n - days_back (integer, required): Number of days to look back for patents\n - email (string, optional): Email address for notifications\n\n- **fin-metrics**\n - ticker (string, required): Stock ticker symbol (e.g., \"AAPL\", \"TSLA\", \"MSFT\")\n - narrative (boolean, required): Whether to parse narrative content from SEC filings. Analyze the user's question to determine if they want narrative analysis (mentions of \"insights\", \"analysis\", \"full report\", \"detailed\") or just metrics/numbers.\n\n- **news-sentiment**\n - company (string, required): Company name to search for recent news\n - email (string, optional): Email address to send the sentiment report\n\n- **forecasting**\n - ticker (string, required): Stock ticker symbol to forecast\n - email (string, required): Email address to send forecast results\n - horizon (integer, optional, default: 30): Number of days to forecast\n\nReturn ONLY valid JSON in this exact format with no explanation:\n```json\n{\n \"tool\": \"tool-name\",\n \"params\": {\n \"param1\": \"value1\",\n \"param2\": value2\n }\n}" } ] }, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ -80, -176 ], "id": "c1b88e65-54b4-4227-a7ca-bd10a9eeb1a1", "name": "The Brain" }, { "parameters": { "jsCode": "// Get the raw LLM output\nlet raw = $json[\"text\"] || $json[\"data\"] || \"\";\n\n// Clean up formatting issues\nraw = raw\n .replace(/```(json)?/gi, '')\n .replace(/\\\\n/g, '')\n .replace(/\\n/g, '')\n .trim();\n\nlet parsed = {};\ntry {\n parsed = JSON.parse(raw);\n} catch (e) {\n return [{\n json: {\n tool: \"error\",\n params: { message: \"Failed to parse JSON\", raw },\n url: null,\n request_id: Date.now().toString(),\n original_query: $input.first().json.chatInput || \"unknown\"\n }\n }];\n}\n\n// Define tool configurations with URLs and expected parameter schemas\nconst toolConfigs = {\n \"patent-monitor\": {\n url: \"http://localhost:5678/webhook/patent-monitor\",\n schema: {\n days_back: \"number\",\n email: \"string\"\n }\n },\n \"fin-metrics\": {\n url: \"http://localhost:5678/webhook/sec-metrics\",\n schema: {\n ticker: \"string\",\n narrative: \"boolean\"\n }\n },\n \"news-sentiment\": {\n url: \"http://localhost:5678/webhook/news-sentiment\",\n schema: {\n company: \"string\",\n email: \"string\"\n }\n },\n \"forecasting\": {\n url: \"http://localhost:5678/webhook/forecasting\",\n schema: {\n ticker: \"string\",\n email: \"string\",\n horizon: \"number\"\n }\n }\n};\n\n// Validate and structure parameters\nfunction validateParams(tool, params) {\n const config = toolConfigs[tool];\n if (!config) {\n return { \n valid: false, \n error: `Unknown tool: ${tool}`,\n params: null \n };\n }\n\n const validatedParams = {};\n const schema = config.schema;\n\n for (const [key, value] of Object.entries(params)) {\n if (schema.hasOwnProperty(key)) {\n const expectedType = schema[key];\n const actualType = Array.isArray(value) ? \"array\" : typeof value;\n \n if (actualType === expectedType || (actualType === \"object\" && expectedType === \"object\")) {\n validatedParams[key] = value;\n } else {\n return {\n valid: false,\n error: `Parameter '${key}' should be ${expectedType}, got ${actualType}`,\n params: null\n };\n }\n }\n }\n\n return { valid: true, params: validatedParams };\n}\n\n// Function to build URL with query parameters\nfunction buildUrlWithParams(baseUrl, params) {\n if (!params || Object.keys(params).length === 0) {\n return baseUrl;\n }\n \n const queryParts = [];\n for (const [key, value] of Object.entries(params)) {\n queryParts.push(`${encodeURIComponent(key)}=${encodeURIComponent(value)}`);\n }\n \n const queryString = queryParts.join('&');\n return `${baseUrl}?${queryString}`;\n}\n\n// Validate the parsed tool and params\nconst validation = validateParams(parsed.tool, parsed.params || {});\n\nif (!validation.valid) {\n return [{\n json: {\n tool: \"error\",\n params: { \n message: validation.error,\n original_tool: parsed.tool,\n original_params: parsed.params\n },\n url: null,\n request_id: Date.now().toString(),\n original_query: $input.first().json.chatInput || \"unknown\"\n }\n }];\n}\n\n// Generate unique request ID\nconst requestId = `${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;\n\n// Get base URL and build full URL with query parameters\nconst baseUrl = toolConfigs[parsed.tool].url;\nconst fullUrl = buildUrlWithParams(baseUrl, validation.params);\n\n// Build final payload with request tracking\nreturn [{\n json: {\n request_id: requestId,\n original_query: $input.first().json.chatInput || \"unknown\",\n tool: parsed.tool,\n params: validation.params,\n baseUrl: baseUrl,\n url: fullUrl,\n metadata: {\n timestamp: new Date().toISOString(),\n validated: true,\n user_session: $input.first().json.sessionId || \"anonymous\"\n }\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 272, -176 ], "id": "9dc7e552-9bb0-44af-8339-6f719b2b093b", "name": "The Processor" }, { "parameters": { "url": "={{ $json.url }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 480, -176 ], "id": "95408abc-d8fe-46e9-abd0-e3b5fac723f4", "name": "The Router" }, { "parameters": { "jsCode": "// Combine request metadata with response data\nconst requestData = $input.first().json;\nconst responseData = $json;\n\n// Create comprehensive log entry\nconst logEntry = {\n request_id: requestData.request_id,\n timestamp: new Date().toISOString(),\n \n // Request information\n request: {\n original_query: requestData.original_query,\n tool: requestData.tool,\n params: requestData.params,\n url: requestData.url,\n user_session: requestData.metadata?.user_session || \"anonymous\"\n },\n \n // Response information\n response: {\n status: \"success\",\n data: responseData,\n response_time_ms: Date.now() - parseInt(requestData.request_id.split('-')[0])\n },\n \n // Analytics metadata\n analytics: {\n tool_used: requestData.tool,\n query_length: requestData.original_query.length,\n has_email: requestData.params.email ? true : false,\n processing_stage: \"completed\"\n }\n};\n\nreturn { json: logEntry };" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 688, -176 ], "id": "response-processor", "name": "Response Processor" }, { "parameters": { "operation": "create", "dataStore": "={{ $json.request.tool }}-logs", "keyName": "={{ $json.request_id }}", "value": "={{ JSON.stringify($json) }}", "options": {} }, "type": "n8n-nodes-base.n8nDataStore", "typeVersion": 1, "position": [ 896, -176 ], "id": "data-store-main", "name": "Store Request Log" }, { "parameters": { "operation": "create", "dataStore": "orchestrator-analytics", "keyName": "={{ $now.format('yyyy-MM-dd') }}-{{ $json.request.tool }}-{{ $json.request_id }}", "value": "={{ JSON.stringify({\n date: $now.format('yyyy-MM-dd'),\n hour: $now.format('HH'),\n tool: $json.request.tool,\n query: $json.request.original_query,\n response_time: $json.response.response_time_ms,\n user: $json.request.user_session\n}) }}", "options": {} }, "type": "n8n-nodes-base.n8nDataStore", "typeVersion": 1, "position": [ 896, -32 ], "id": "analytics-store", "name": "Store Analytics" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict" }, "conditions": [ { "id": "notification-check", "leftValue": "={{ $json.request.params.email }}", "rightValue": "", "operator": { "type": "string", "operation": "notEmpty" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ 1104, -176 ], "id": "notification-check", "name": "Check for Email" }, { "parameters": { "fromEmail": "REPLACE_WITH_FROMEMAIL", "toEmail": "={{ $json.request.params.email }}", "subject": "Mycroft Alert: {{ $json.request.tool }} completed", "message": "=Your {{ $json.request.tool }} request has been processed.\n\nRequest ID: {{ $json.request_id }}\nQuery: {{ $json.request.original_query }}\nTool: {{ $json.request.tool }}\nTimestamp: {{ $json.timestamp }}\n\nResponse time: {{ $json.response.response_time_ms }}ms\n\nResults have been logged and are available in the data store.", "options": {} }, "type": "n8n-nodes-base.emailSend", "typeVersion": 2.1, "position": [ 1312, -272 ], "id": "email-notification", "name": "Send Notification" }, { "parameters": { "jsCode": "// Generate summary statistics\nconst logEntry = $json;\n\nconst summary = {\n request_id: logEntry.request_id,\n tool: logEntry.request.tool,\n status: logEntry.response.status,\n response_time: logEntry.response.response_time_ms,\n timestamp: logEntry.timestamp,\n user_notified: logEntry.request.params.email ? true : false\n};\n\nreturn { json: summary };" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1312, -80 ], "id": "summary-generator", "name": "Generate Summary" }, { "id": "c034bab2-64f3-513c-94b9-35b6e54bffe7", "name": "Publication ยท Overview and setup", "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -1216, -272 ], "parameters": { "content": "# Orchestrator v2 - Enhanced\n\n## Purpose and structure\nThis folder contains the **Orchestrator v2 - Enhanced** workflow. Its executable nodes use `chainLlm`, `chatTrigger`, `code`, `emailSend`, `httpRequest`, `if`, `lmChatOllama`, `n8nDataStore`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nWhen chat message received\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nNik Bear Brown; rights confirmed 2026-10-19\nMIT; preserve source notices.", "width": 700, "height": 800, "color": 1 } } ], "connections": { "Ollama Chat Model": { "ai_languageModel": [ [ { "node": "The Brain", "type": "ai_languageModel", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "The Brain", "type": "main", "index": 0 } ] ] }, "The Brain": { "main": [ [ { "node": "The Processor", "type": "main", "index": 0 } ] ] }, "The Processor": { "main": [ [ { "node": "The Router", "type": "main", "index": 0 } ] ] }, "The Router": { "main": [ [ { "node": "Response Processor", "type": "main", "index": 0 } ] ] }, "Response Processor": { "main": [ [ { "node": "Store Request Log", "type": "main", "index": 0 }, { "node": "Store Analytics", "type": "main", "index": 0 } ] ] }, "Store Request Log": { "main": [ [ { "node": "Check for Email", "type": "main", "index": 0 } ] ] }, "Check for Email": { "main": [ [ { "node": "Send Notification", "type": "main", "index": 0 } ], [ { "node": "Generate Summary", "type": "main", "index": 0 } ] ] }, "Send Notification": { "main": [ [ { "node": "Generate Summary", "type": "main", "index": 0 } ] ] }, "Store Analytics": { "main": [ [ { "node": "Check for Email", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" } }