This workflow follows the Chainllm → Execute Workflow Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"updatedAt": "2025-12-24T08:53:16.587Z",
"createdAt": "2025-12-23T09:30:32.352Z",
"id": "9z0gv8DzdPC76trq",
"name": "Start_Thread",
"description": null,
"active": false,
"isArchived": false,
"nodes": [
{
"parameters": {
"inputSource": "passthrough"
},
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.1,
"position": [
18496,
-2320
],
"id": "a929c09f-94de-42dc-a2ff-923accc5e9ab",
"name": "ExecuteWorkflowTrigger"
},
{
"parameters": {
"method": "POST",
"url": "=https://discord.com/api/v10/channels/{{ $json.ctx.event.channel_id }}/messages/{{ $json.ctx.event.message_id }}/threads",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "discordBotApi",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ { \"name\": $json.ctx.event.clean_text.slice(0, 100) } }}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
18720,
-2320
],
"id": "85fce562-824f-47c1-83cf-ea4d7e807ea4",
"name": "CreateDiscordThread",
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 1000,
"credentials": {
"discordBotApi": {
"name": "<your credential>"
}
}
},
{
"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.db.north_star }}\n\nKeep this in mind when helping them, but don't mention it unless directly relevant to the conversation.\n\n## Current Situation\n\nThe user just started a conversation thread with: {{ $json.ctx.event.clean_text }}\n\nThey are coming to you for help thinking through something.\n\n## Instructions\n\n**Assess the question type:**\n\n**Simple/direct question** (what's X?, how do I Y?) \u2192 Answer directly if you can. Be concise (2-3 sentences).\n\n**Planning/reflection/decision** (what should I focus on?, help me think about X) \u2192 Signal that you're gathering context, then ask 1 clarifying question. Total 2-3 sentences.\n\n## Style\n\n- Warm and conversational\n- Natural and specific to their words\n- Not robotic or generic\n- Don't force connections to the guiding principle\n- Focus on what they're asking, not on fitting everything into a grand narrative\n\n## Example Responses (for planning/reflection questions)\n\n**User:** what should I focus on today?\n**Good response:** Let me check what you've been working on lately. Are you thinking about what to prioritize right now, or planning for the whole day?\n\n**User:** help me think through this project decision\n**Good response:** I'll look at your recent activities to give you a grounded perspective. What's the core tradeoff you're trying to navigate?\n\n**User:** feeling scattered, what's going on?\n**Good response:** Let me pull up your week so far. When did you first notice feeling scattered - today or has it been building?\n\n**User:** am I making progress on my goals?\n**Good response:** Looking at your recent work to see the patterns. Which goal are you most curious about?\n\nNotice how each response:\n1. Signals gathering context in a natural, varied way\n2. Asks a clarifying question that's conversational and specific, not generic\n\nRespond to their initial message now.",
"needsFallback": true,
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.7,
"position": [
19616,
-2320
],
"id": "f6f390a8-c453-4cee-8d6d-2b9a415e3a29",
"name": "GenerateInitialResponse"
},
{
"parameters": {
"model": "nvidia/nemotron-nano-9b-v2:free",
"options": {
"temperature": 0.7
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
19624,
-2096
],
"id": "0c6a309d-86ff-4aa3-b02f-33230ae4f092",
"name": "NemotronNano9b",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "xiaomi/mimo-v2-flash:free",
"options": {
"temperature": 0.7
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
19752,
-2096
],
"id": "60963dec-c78a-4918-8b32-12e1a0f25d8b",
"name": "MimoV2Flash",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "// Prepare db_queries for trace + projection storage\nconst ctx = $json.ctx || {};\n\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 northStar = ctx.llm?.north_star || '(not set)';\nconst cleanText = ctx.event?.clean_text || '';\nconst promptText = `You are an AI life coach...\\n\\nUser's Guiding Principle: ${northStar}\\n\\nThe user started with: ${cleanText}`;\n\n// Prepare db_queries for Execute_Queries\nconst db_queries = [\n {\n key: 'trace',\n sql: `WITH new_trace AS (\n INSERT INTO traces (event_id, step_name, data, trace_chain)\n VALUES ($1::uuid, 'thread_initial_response',\n jsonb_build_object(\n 'input', jsonb_build_object('text', $2, 'thread_id', $3::text),\n 'prompt', $4,\n 'completion', $5,\n 'result', jsonb_build_object('response_length', $6::integer),\n 'model', 'nvidia/nemotron-nano-9b-v2:free',\n 'duration_ms', $7::integer\n ), $8::uuid[])\n RETURNING id\n )\n SELECT new_trace.id as trace_id, $8::uuid[] || new_trace.id as updated_trace_chain\n FROM new_trace`,\n params: [\n ctx.event?.event_id,\n cleanText,\n ctx.thread?.id,\n promptText,\n response,\n response.length,\n durationMs,\n ctx.event?.trace_chain || []\n ]\n },\n {\n key: 'projection',\n sql: `INSERT INTO projections (event_id, trace_id, trace_chain, projection_type, status, data, timezone)\n VALUES ($1::uuid, $2::uuid, $3::uuid[], 'thread_response', 'auto_confirmed',\n jsonb_build_object(\n 'thread_id', $4,\n 'response_text', $5,\n 'role', 'assistant',\n 'timestamp', $6::timestamptz\n ), $7)\n RETURNING id`,\n params: [\n ctx.event?.event_id,\n '$results.trace.row.trace_id',\n '$results.trace.row.updated_trace_chain',\n ctx.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": [
20288,
-2320
],
"id": "prepare-write-queries",
"name": "PrepareWriteQueries"
},
{
"parameters": {
"resource": "message",
"guildId": {
"__rl": true,
"value": "={{ $json.ctx.event.guild_id }}",
"mode": "id"
},
"channelId": {
"__rl": true,
"value": "={{ $json.ctx.thread.id }}",
"mode": "id"
},
"content": "={{ $json.ctx.llm.completion_text.trim().replace(/^[\"']|[\"']$/g, '') }}",
"options": {}
},
"type": "n8n-nodes-base.discord",
"typeVersion": 2,
"position": [
20064,
-2320
],
"id": "a5785f29-feef-42f4-8da5-d5eaeb9fd055",
"name": "SendResponseToThread",
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 1000,
"credentials": {
"discordBotApi": {
"name": "<your credential>"
}
}
},
{
"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\udde8\ufe0f"
},
"type": "n8n-nodes-base.discord",
"typeVersion": 2,
"position": [
18720,
-2560
],
"id": "1e7b0d2a-54ee-4607-bcd9-7872585cb7c1",
"name": "ReactWith\ud83d\udde8\ufe0f",
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 1000,
"credentials": {
"discordBotApi": {
"name": "<your credential>"
}
},
"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": [
18720,
-2080
],
"id": "remove-blue-reaction-start-chat",
"name": "Remove\ud83d\udd35Reaction",
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 1000,
"credentials": {
"discordBotApi": {
"name": "<your credential>"
}
},
"onError": "continueRegularOutput"
},
{
"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": [
20512,
-2320
],
"id": "execute-write-queries",
"name": "ExecuteQueries(write)"
},
{
"parameters": {
"jsCode": "// Prepare north_star query and build initial ctx\nconst triggerData = $json;\nconst ctx = triggerData.ctx || {};\n\nconst db_queries = [\n {\n key: 'north_star',\n sql: \"SELECT value FROM config WHERE key = 'north_star'\"\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": [
18944,
-2320
],
"id": "prepare-read-queries",
"name": "PrepareReadQueries"
},
{
"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": [
19168,
-2320
],
"id": "execute-read-queries",
"name": "ExecuteQueries(read)"
},
{
"parameters": {
"jsCode": "// Build context for LLM from thread and db results\nconst ctx = $json.ctx || {};\nconst threadData = $('CreateDiscordThread').first().json;\n\n// Get north_star from Execute_Queries result\nconst northStar = ctx.db?.north_star?.row?.value || '(not set)';\n\n// Preserve all ctx.event fields and add thread + llm context\nreturn {\n json: {\n ctx: {\n event: {\n event_id: ctx.event?.event_id,\n channel_id: ctx.event?.channel_id,\n message_id: ctx.event?.message_id,\n guild_id: ctx.event?.guild_id,\n clean_text: ctx.event?.clean_text,\n timestamp: ctx.event?.timestamp,\n timezone: ctx.event?.timezone,\n trace_chain: ctx.event?.trace_chain\n },\n thread: {\n id: threadData.id\n },\n db: {\n north_star: northStar\n },\n llm: {\n inference_start: Date.now(),\n north_star: northStar\n }\n }\n }\n};",
"mode": "runOnceForEachItem"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
19392,
-2320
],
"id": "build-llm-context",
"name": "BuildLlmContext"
},
{
"parameters": {
"jsCode": "// Add LLM response to ctx\nconst prevData = $('BuildLlmContext').first().json;\nconst ctx = prevData.ctx;\nconst llmResponse = $json.text || '';\n\nreturn {\n json: {\n ctx: {\n ...ctx,\n llm: {\n ...ctx.llm,\n completion_text: llmResponse\n }\n }\n }\n};",
"mode": "runOnceForEachItem"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
19840,
-2320
],
"id": "set-llm-response",
"name": "SetLlmResponse"
}
],
"connections": {
"ExecuteWorkflowTrigger": {
"main": [
[
{
"node": "CreateDiscordThread",
"type": "main",
"index": 0
},
{
"node": "ReactWith\ud83d\udde8\ufe0f",
"type": "main",
"index": 0
},
{
"node": "Remove\ud83d\udd35Reaction",
"type": "main",
"index": 0
}
]
]
},
"CreateDiscordThread": {
"main": [
[
{
"node": "PrepareReadQueries",
"type": "main",
"index": 0
}
]
]
},
"PrepareReadQueries": {
"main": [
[
{
"node": "ExecuteQueries(read)",
"type": "main",
"index": 0
}
]
]
},
"ExecuteQueries(read)": {
"main": [
[
{
"node": "BuildLlmContext",
"type": "main",
"index": 0
}
]
]
},
"BuildLlmContext": {
"main": [
[
{
"node": "GenerateInitialResponse",
"type": "main",
"index": 0
}
]
]
},
"GenerateInitialResponse": {
"main": [
[
{
"node": "SetLlmResponse",
"type": "main",
"index": 0
}
]
]
},
"SetLlmResponse": {
"main": [
[
{
"node": "SendResponseToThread",
"type": "main",
"index": 0
}
]
]
},
"SendResponseToThread": {
"main": [
[
{
"node": "PrepareWriteQueries",
"type": "main",
"index": 0
}
]
]
},
"PrepareWriteQueries": {
"main": [
[
{
"node": "ExecuteQueries(write)",
"type": "main",
"index": 0
}
]
]
},
"ReactWith\ud83d\udde8\ufe0f": {
"main": [
[]
]
},
"Remove\ud83d\udd35Reaction": {
"main": [
[]
]
},
"NemotronNano9b": {
"ai_languageModel": [
[
{
"node": "GenerateInitialResponse",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"MimoV2Flash": {
"ai_languageModel": [
[
{
"node": "GenerateInitialResponse",
"type": "ai_languageModel",
"index": 1
}
]
]
}
},
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": "NOJ7FqVhVLqw0n8D",
"availableInMCP": false,
"executionOrder": "v1"
},
"staticData": null,
"meta": null,
"versionId": "cf643934-0e4c-47b4-b881-746d6b5443e1",
"activeVersionId": null,
"versionCounter": 184,
"triggerCount": 0,
"shared": [
{
"updatedAt": "2025-12-23T09:30:32.352Z",
"createdAt": "2025-12-23T09:30:32.352Z",
"role": "workflow:owner",
"workflowId": "9z0gv8DzdPC76trq",
"projectId": "erM3nntdLL53noWi",
"project": {
"updatedAt": "2025-12-23T09:23:39.658Z",
"createdAt": "2025-12-23T09:16:56.460Z",
"id": "erM3nntdLL53noWi",
"name": "Chris Irineo <chriskevini@gmail.com>",
"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
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
discordBotApiopenRouterApi
Pro
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About this workflow
Start_Thread. Uses executeWorkflowTrigger, httpRequest, chainLlm, lmChatOpenRouter. Event-driven trigger; 14 nodes.
Source: https://github.com/chriskevini/kairon/blob/ab924f228ceb22522b9a4dfa1ab4589eb86273ad/n8n-workflows/Start_Thread.json — original creator credit. Request a take-down →
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