{ "updatedAt": "2025-12-24T08:53:12.894Z", "createdAt": "2025-12-23T09:30:25.763Z", "id": "mbX1lCt14Yi75gTE", "name": "Continue_Thread", "description": null, "active": false, "isArchived": false, "nodes": [ { "parameters": { "inputSource": "passthrough" }, "type": "n8n-nodes-base.executeWorkflowTrigger", "typeVersion": 1.1, "position": [ 6656, 624 ], "id": "cf49146a-7b65-4fe1-8882-9190f8ac80f3", "name": "ExecuteWorkflowTrigger" }, { "parameters": { "jsCode": "// Prepare batch database queries for Execute_Queries sub-workflow\nconst ctx = $json.ctx;\n\nconst db_queries = [\n {\n key: 'history',\n sql: `SELECT timestamp, role, text FROM thread_history \n WHERE thread_id = $1 AND NOT (role = 'user' AND text = $2) \n ORDER BY timestamp ASC LIMIT 20`,\n params: [ctx.event.thread_id, ctx.event.clean_text]\n },\n {\n key: 'north_star',\n sql: `SELECT value FROM config WHERE key = 'north_star'`\n },\n {\n key: 'activities',\n sql: `SELECT \n (data->>'timestamp')::timestamptz as timestamp,\n data->>'category' as category,\n data->>'description' as description\n FROM projections\n WHERE projection_type = 'activity'\n AND status IN ('auto_confirmed', 'confirmed')\n ORDER BY (data->>'timestamp')::timestamptz DESC\n LIMIT 20`\n },\n {\n key: 'notes',\n sql: `SELECT \n (data->>'timestamp')::timestamptz as timestamp,\n data->>'category' as category,\n data->>'text' as text\n FROM projections\n WHERE projection_type = 'note'\n AND status IN ('auto_confirmed', 'confirmed')\n ORDER BY (data->>'timestamp')::timestamptz DESC\n LIMIT 10`\n }\n];\n\nreturn {\n json: {\n ctx: {\n ...ctx,\n db_queries\n }\n }\n};", "mode": "runOnceForEachItem" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 6880, 624 ], "id": "prepare-db-queries", "name": "PrepareDbQueries" }, { "parameters": { "workflowId": { "__rl": true, "value": "CgUAxK0i4YhrZ2Wp", "mode": "list", "cachedResultName": "Execute_Queries", "cachedResultUrl": "/workflow/CgUAxK0i4YhrZ2Wp" }, "workflowInputs": { "mappingMode": "defineBelow", "value": { "ctx": "={{ $json.ctx }}" } }, "options": { "waitForSubWorkflow": true } }, "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.2, "position": [ 7104, 624 ], "id": "execute-queries-read", "name": "ExecuteQueries(read)" }, { "parameters": { "jsCode": "// Build LLM context from Execute_Queries results\nconst ctx = $json.ctx;\nconst db = ctx.db || {};\n\n// Extract and sort conversation history\nconst history = (db.history?.rows || [])\n .sort((a, b) => new Date(a.timestamp) - new Date(b.timestamp))\n .map(item => ({\n role: item.role,\n text: item.text\n }));\n\n// Extract north star\nconst northStar = db.north_star?.row?.value || 'Not set';\n\n// Extract activities\nconst activities = (db.activities?.rows || []).map(item => ({\n timestamp: item.timestamp,\n category: item.category,\n description: item.description\n}));\n\n// Extract notes \nconst notes = (db.notes?.rows || []).map(item => ({\n timestamp: item.timestamp,\n category: item.category,\n text: item.text\n}));\n\nreturn {\n json: {\n ctx: {\n ...ctx,\n llm: {\n ...ctx.llm,\n north_star: northStar,\n inference_start: Date.now(),\n history: history,\n activities: activities,\n notes: notes\n }\n }\n }\n};", "mode": "runOnceForEachItem" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 7328, 624 ], "id": "66722f6e-f428-4136-bc15-f60097699a36", "name": "BuildContext" }, { "parameters": { "promptType": "define", "text": "=You are an AI life coach helping the user reflect, plan, and think deeply.\n\n## Context Available\n\n**User's Guiding Principle:** {{ $json.ctx.llm.north_star }}\n\nKeep this in mind when helping them, but don't mention it unless directly relevant to the conversation.\n\n**Recent Activities (Last 20)**\n{{ $json.ctx.llm.activities.map(act => `${DateTime.fromISO(act.timestamp).format(\"yyyy-MM-dd hh:mm\")} - ${act.description}`).join('\\n') }}\n\n**Recent Notes (Last 10)**\n{{ $json.ctx.llm.notes.map(n => `[${n.category}] ${n.text}`).join('\\n') }}\n\n## Instructions\n\n1. **Consider the full context**: conversation history, activities, and notes\n2. **Provide grounded insights**: Reference specific activities or notes when relevant\n3. **Be conversational**: This is an ongoing dialogue, not a new conversation\n4. **Ask clarifying questions**: Help them think deeper when appropriate\n5. **Be concise**: 3-5 sentences, respect their time\n6. **Don't force connections**: Only mention the guiding principle if it's naturally relevant to what they're asking about\n\n## Style\n- Warm and supportive\n- Natural and conversational\n- Focus on what they're asking, not on fitting everything into a grand narrative\n\n## Conversation History\n{{ $json.ctx.llm.history.map(msg => `${msg.role.toUpperCase()}: ${msg.text}`).join('\\n\\n') }}\n\nUSER: {{ $json.ctx.event.clean_text }}\n\nASSISTANT:", "needsFallback": true, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ 7552, 748 ], "id": "4119f733-a0a8-4c97-bcf3-a67ab535c4b5", "name": "GenerateResponse" }, { "parameters": { "model": "xiaomi/mimo-v2-flash:free", "options": { "temperature": 0.7 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ 7560, 972 ], "id": "120ceee9-00cb-4175-8df8-57f862e218fd", "name": "MimoV2Flash", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "model": "nvidia/nemotron-nano-9b-v2:free", "options": { "temperature": 0.7 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ 7688, 972 ], "id": "9c28edb3-a048-474e-8217-915ddee94e23", "name": "NemotronNano9b", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "resource": "message", "guildId": { "__rl": true, "value": "={{ $json.ctx.event.guild_id }}", "mode": "id" }, "channelId": { "__rl": true, "value": "={{ $json.ctx.event.thread_id }}", "mode": "id" }, "content": "={{ $json.ctx.llm.completion_text }}", "options": {} }, "type": "n8n-nodes-base.discord", "typeVersion": 2, "position": [ 8352, 528 ], "id": "742d2510-b9ca-4252-9f4e-4d2c485050a9", "name": "PostToThread", "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 1000, "credentials": { "discordBotApi": { "name": "" } } }, { "parameters": { "resource": "message", "operation": "react", "guildId": { "__rl": true, "value": "={{ $json.ctx.event.guild_id }}", "mode": "id" }, "channelId": { "__rl": true, "value": "={{ $json.ctx.event.channel_id }}", "mode": "id" }, "messageId": "={{ $json.ctx.event.message_id }}", "emoji": "=\ud83d\udcad" }, "type": "n8n-nodes-base.discord", "typeVersion": 2, "position": [ 6880, 96 ], "id": "3d6f0aee-f86f-437e-aa57-0683b80c2ced", "name": "ReactWith\ud83d\udcad", "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 1000, "credentials": { "discordBotApi": { "name": "" } }, "onError": "continueRegularOutput" }, { "parameters": { "method": "DELETE", "url": "=https://discord.com/api/v10/channels/{{ $json.ctx.event.channel_id }}/messages/{{ $json.ctx.event.message_id }}/reactions/\ud83d\udd35/@me", "authentication": "predefinedCredentialType", "nodeCredentialType": "discordBotApi", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 6880, 1152 ], "id": "remove-blue-reaction-continue-chat", "name": "Remove\ud83d\udd35Reaction", "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 1000, "credentials": { "discordBotApi": { "name": "" } }, "onError": "continueRegularOutput" }, { "parameters": { "jsCode": "// Prepare write queries for Execute_Queries (trace + projection)\nconst ctx = $json.ctx || {};\nconst response = ctx.llm?.completion_text || '';\nconst inferenceStart = ctx.llm?.inference_start || Date.now();\nconst durationMs = Date.now() - inferenceStart;\n\n// Build filled prompt (reconstructed from template)\nconst promptText = `You are an AI life coach helping the user reflect, plan, and think deeply.\n\n## Context Available\n\n**User's Guiding Principle:** ${ctx.llm?.north_star || '(not set)'}\n\n**Recent Activities (Last 20)**\n${(ctx.llm?.activities || []).map(act => `${act.timestamp} - ${act.description}`).join('\\n')}\n\n**Recent Notes (Last 10)**\n${(ctx.llm?.notes || []).map(n => `[${n.category}] ${n.text}`).join('\\n')}\n\n## Instructions\n...\n\n## Conversation History\n${(ctx.llm?.history || []).map(msg => `${msg.role.toUpperCase()}: ${msg.text}`).join('\\n\\n')}\n\n## Current Message\nThe user just said: \"${ctx.event?.clean_text || ''}\"\n\nRespond to their message now.`;\n\n// Format trace_chain for PostgreSQL uuid[] type\nconst traceChain = ctx.event?.trace_chain || [];\n\n// Build write queries with chaining\nconst db_queries = [\n {\n key: 'trace',\n sql: `INSERT INTO traces (event_id, step_name, data, trace_chain)\n VALUES (\n $1::uuid,\n 'thread_response',\n jsonb_build_object(\n 'input', jsonb_build_object(\n 'text', $2,\n 'thread_id', $3::text,\n 'history_length', $4::integer\n ),\n 'prompt', $5,\n 'completion', $6,\n 'result', jsonb_build_object(\n 'response_length', $7::integer,\n 'referenced_activities', $8::integer,\n 'referenced_notes', $9::integer\n ),\n 'model', 'xiaomi/mimo-v2-flash:free',\n 'duration_ms', $10::integer\n ),\n $11::uuid[]\n )\n RETURNING id, $11::uuid[] || id AS updated_trace_chain`,\n params: [\n ctx.event?.event_id,\n ctx.event?.clean_text || '',\n ctx.event?.thread_id,\n (ctx.llm?.history || []).length,\n promptText,\n response,\n response.length,\n (ctx.llm?.activities || []).length,\n (ctx.llm?.notes || []).length,\n durationMs,\n traceChain\n ]\n },\n {\n key: 'projection',\n sql: `INSERT INTO projections (\n event_id,\n trace_id,\n trace_chain,\n projection_type,\n status,\n data,\n timezone\n )\n VALUES (\n $1::uuid,\n $2::uuid,\n $3::uuid[],\n 'thread_response',\n 'auto_confirmed',\n jsonb_build_object(\n 'thread_id', $4,\n 'response_text', $5,\n 'role', 'assistant',\n 'timestamp', $6::timestamptz\n ),\n $7\n )\n RETURNING id`,\n params: [\n ctx.event?.event_id,\n '$results.trace.row.id',\n '$results.trace.row.updated_trace_chain',\n ctx.event?.thread_id,\n response,\n ctx.event?.timestamp,\n ctx.event?.timezone\n ]\n }\n];\n\nreturn {\n json: {\n ctx: {\n ...ctx,\n db_queries\n }\n }\n};", "mode": "runOnceForEachItem" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 8352, 720 ], "id": "prepare-write-queries", "name": "PrepareWriteQueries" }, { "parameters": { "workflowId": { "__rl": true, "value": "CgUAxK0i4YhrZ2Wp", "mode": "list", "cachedResultName": "Execute_Queries", "cachedResultUrl": "/workflow/CgUAxK0i4YhrZ2Wp" }, "workflowInputs": { "mappingMode": "defineBelow", "value": { "ctx": "={{ $json.ctx }}" } }, "options": { "waitForSubWorkflow": true } }, "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.2, "position": [ 8576, 720 ], "id": "execute-queries-write", "name": "ExecuteQueries(write)" }, { "parameters": { "assignments": { "assignments": [ { "id": "llm-completion", "name": "ctx.llm.completion_text", "value": "={{ $json.text }}", "type": "string" } ] }, "options": { "includeOtherFields": true } }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 7904, 748 ], "id": "set-llm-completion", "name": "SetLlmCompletion" }, { "parameters": { "mode": "combine", "combineBy": "combineByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 3, "position": [ 8128, 624 ], "id": "merge-llm-result", "name": "MergeLlmResult" } ], "connections": { "ExecuteWorkflowTrigger": { "main": [ [ { "node": "PrepareDbQueries", "type": "main", "index": 0 }, { "node": "ReactWith\ud83d\udcad", "type": "main", "index": 0 }, { "node": "Remove\ud83d\udd35Reaction", "type": "main", "index": 0 } ] ] }, "PrepareDbQueries": { "main": [ [ { "node": "ExecuteQueries(read)", "type": "main", "index": 0 } ] ] }, "ExecuteQueries(read)": { "main": [ [ { "node": "BuildContext", "type": "main", "index": 0 } ] ] }, "BuildContext": { "main": [ [ { "node": "GenerateResponse", "type": "main", "index": 0 }, { "node": "MergeLlmResult", "type": "main", "index": 0 } ] ] }, "GenerateResponse": { "main": [ [ { "node": "SetLlmCompletion", "type": "main", "index": 0 } ] ] }, "MimoV2Flash": { "ai_languageModel": [ [ { "node": "GenerateResponse", "type": "ai_languageModel", "index": 0 } ] ] }, "NemotronNano9b": { "ai_languageModel": [ [ { "node": "GenerateResponse", "type": "ai_languageModel", "index": 1 } ] ] }, "PostToThread": { "main": [ [] ] }, "PrepareWriteQueries": { "main": [ [ { "node": "ExecuteQueries(write)", "type": "main", "index": 0 } ] ] }, "ExecuteQueries(write)": { "main": [ [] ] }, "SetLlmCompletion": { "main": [ [ { "node": "MergeLlmResult", "type": "main", "index": 1 } ] ] }, "MergeLlmResult": { "main": [ [ { "node": "PrepareWriteQueries", "type": "main", "index": 0 }, { "node": "PostToThread", "type": "main", "index": 0 } ] ] } }, "settings": { "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": "NOJ7FqVhVLqw0n8D", "availableInMCP": false, "executionOrder": "v1" }, "staticData": null, "meta": null, "versionId": "afa8d3be-2df8-4506-baab-4f177983c46a", "activeVersionId": null, "versionCounter": 185, "triggerCount": 0, "shared": [ { "updatedAt": "2025-12-23T09:30:25.763Z", "createdAt": "2025-12-23T09:30:25.763Z", "role": "workflow:owner", "workflowId": "mbX1lCt14Yi75gTE", "projectId": "erM3nntdLL53noWi", "project": { "updatedAt": "2025-12-23T09:23:39.658Z", "createdAt": "2025-12-23T09:16:56.460Z", "id": "erM3nntdLL53noWi", "name": "Chris Irineo ", "type": "personal", "icon": null, "description": null, "projectRelations": [ { "updatedAt": "2025-12-23T09:16:56.460Z", "createdAt": "2025-12-23T09:16:56.460Z", "userId": "2a851a2d-b7e5-4b3c-aefb-6eaaa79e0659", "projectId": "erM3nntdLL53noWi", "user": { "updatedAt": "2025-12-24T08:40:46.063Z", "createdAt": "2025-12-23T09:16:54.881Z", "id": "2a851a2d-b7e5-4b3c-aefb-6eaaa79e0659", "email": "chriskevini@gmail.com", "firstName": "Chris", "lastName": "Irineo", "personalizationAnswers": { "version": "v4", "personalization_survey_submitted_at": "2025-12-23T09:23:43.723Z", "personalization_survey_n8n_version": "1.123.5" }, "settings": { "userActivated": true, "firstSuccessfulWorkflowId": "CgUAxK0i4YhrZ2Wp", "userActivatedAt": 1766487000077, "easyAIWorkflowOnboarded": true }, "disabled": false, "mfaEnabled": false, "lastActiveAt": "2025-12-24", "isPending": false } } ] } } ], "tags": [], "activeVersion": null }