This workflow follows the HTTP Request → OpenAI Chat recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "Slack AI Streaming Agent - Template",
"nodes": [
{
"parameters": {
"contextWindowLength": 20
},
"id": "95d40761-c1c6-4e60-b673-f43301ac6db7",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
672,
1696
],
"notesInFlow": true,
"notes": "In-memory only. Conversation history is lost on n8n restart.\nFor persistence, replace with Postgres Chat Memory or Redis Chat Memory."
},
{
"parameters": {
"channelId": "={{ $json.channel }}",
"threadTs": "={{ $json.thread_ts }}",
"recipientUserId": "={{ $json.user_id }}",
"recipientTeamId": "={{ $json.team_id }}",
"systemPrompt": "You are a helpful AI assistant. Answer questions clearly and concisely.",
"options": {}
},
"type": "CUSTOM.slackAiStreamingAgent",
"typeVersion": 1,
"position": [
528,
1488
],
"id": "8a4323e7-31ec-4905-a0b5-d01d9664cd16",
"name": "Slack AI Streaming Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4o",
"mode": "list",
"cachedResultName": "gpt-4o"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.3,
"position": [
528,
1696
],
"id": "97d42db4-f4a1-4be9-b05a-2d5e0175cfbe",
"name": "OpenAI Chat Model"
},
{
"parameters": {
"httpMethod": "POST",
"path": "slack-events",
"responseMode": "responseNode",
"options": {}
},
"id": "f71a4e79-2da8-4533-bc88-76efa702b5a2",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
-304,
1424
]
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ JSON.stringify({ challenge: $json.body?.challenge ?? '' }) }}",
"options": {
"responseCode": 200
}
},
"id": "905a6489-f865-47d0-959e-9165336f9923",
"name": "Respond 200",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
-112,
1424
],
"notesInFlow": true,
"notes": "Immediately returns 200 to Slack (3-second timeout).\nWorkflow continues executing after this node."
},
{
"parameters": {
"method": "POST",
"url": "https://slack.com/api/assistant.threads.setSuggestedPrompts",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "slackApi",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json; charset=utf-8"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({\n channel_id: $('Webhook').item.json.body.event.assistant_thread.channel_id,\n thread_ts: $('Webhook').item.json.body.event.assistant_thread.thread_ts,\n prompts: [\n { title: \"Summarize\", message: \"Summarize the key points of this conversation.\" },\n { title: \"Help me write\", message: \"Help me draft a message about...\" },\n { title: \"What can you do?\", message: \"What kinds of tasks can you help me with?\" }\n ]\n}) }}",
"options": {}
},
"id": "e1287aca-0201-4feb-8c51-f1f11feb9b28",
"name": "Set Suggested Prompts",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
336,
1280
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "a1b2c3d4-aaaa-4000-8000-00000000000a",
"name": "channel",
"value": "={{ $('Webhook').item.json.body.event.channel }}",
"type": "string"
},
{
"id": "a1b2c3d4-bbbb-4000-8000-00000000000b",
"name": "thread_ts",
"value": "={{ $('Webhook').item.json.body.event.thread_ts ?? $('Webhook').item.json.body.event.ts }}",
"type": "string"
},
{
"id": "a1b2c3d4-cccc-4000-8000-00000000000c",
"name": "user_id",
"value": "={{ $('Webhook').item.json.body.event.user }}",
"type": "string"
},
{
"id": "a1b2c3d4-dddd-4000-8000-00000000000d",
"name": "team_id",
"value": "={{ $('Webhook').item.json.body.team_id }}",
"type": "string"
},
{
"id": "a1b2c3d4-eeee-4000-8000-00000000000e",
"name": "chatInput",
"value": "={{ ($('Webhook').item.json.body.event.text ?? '').replace(/<@[A-Z0-9]+>/g, '').trim() }}",
"type": "string"
},
{
"id": "49d21ddb-ce24-491c-88de-2c195d25fecb",
"name": "sessionId",
"value": "={{ $('Webhook').item.json.body.event.channel }}_{{ $('Webhook').item.json.body.event.thread_ts ?? $('Webhook').item.json.body.event.ts }}",
"type": "string"
}
]
},
"options": {}
},
"id": "ee1ec408-bc24-4578-92ed-d7639699a6d7",
"name": "Extract Event Data",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
336,
1488
]
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"leftValue": "={{ $('Webhook').item.json.body.type }}",
"rightValue": "url_verification",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "8f9a33fb-afa1-41d4-b21c-0fb929d15253"
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"leftValue": "={{ $('Webhook').item.json.body.event?.type }}",
"rightValue": "assistant_thread_started",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "d53c692a-9398-4002-81ea-705e2a7b8317"
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"leftValue": "={{ $('Webhook').item.json.body.event?.type }}",
"rightValue": "app_mention",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "91136a0f-be04-49a3-905c-a8e66291f4c8"
},
{
"leftValue": "={{ $('Webhook').item.json.body.event?.subtype }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "empty"
},
"id": "928bc62e-9a52-4cdc-8a62-0d2ce44e94d1"
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"leftValue": "={{ $('Webhook').item.json.body.event?.type }}",
"rightValue": "message",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "0b113971-e629-4cd3-8f1c-ad500b1e48a0"
},
{
"leftValue": "={{ $('Webhook').item.json.body.event?.subtype }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "empty"
},
"id": "6674d713-560c-4466-98ea-09b6f519193e"
},
{
"leftValue": "={{ $('Webhook').item.json.body.event?.bot_id }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "empty"
},
"id": "65fce555-f4f0-4c88-8647-6e12c1ddd496"
}
],
"combinator": "and"
}
}
]
},
"options": {
"fallbackOutput": "none"
}
},
"id": "d153259e-58c0-40db-9e31-06c6d5cab660",
"name": "Route by Event",
"type": "n8n-nodes-base.switch",
"typeVersion": 3,
"position": [
96,
1392
]
}
],
"connections": {
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "Slack AI Streaming Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Slack AI Streaming Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "Respond 200",
"type": "main",
"index": 0
}
]
]
},
"Respond 200": {
"main": [
[
{
"node": "Route by Event",
"type": "main",
"index": 0
}
]
]
},
"Extract Event Data": {
"main": [
[
{
"node": "Slack AI Streaming Agent",
"type": "main",
"index": 0
}
]
]
},
"Route by Event": {
"main": [
[],
[
{
"node": "Set Suggested Prompts",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract Event Data",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract Event Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
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About this workflow
Slack AI Streaming Agent - Template. Uses memoryBufferWindow, CUSTOM, lmChatOpenAi, httpRequest. Webhook trigger; 8 nodes.
Source: https://github.com/sskmy1024y/n8n-nodes-slack-ai-streaming-agent/blob/main/examples/slack-ai-agent-workflow.json — original creator credit. Request a take-down →
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