{ "id": "TEA7K9MSVQGCWKe6", "meta": { "instanceId": "workflow-6ac4b60d", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:55.978253", "updatedAt": "2025-09-29T07:07:55.978265", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production" }, "name": "A/B Split Testing", "tags": [ "automation", "n8n", "production-ready", "excellent", "optimized" ], "nodes": [ { "id": "trigger-0cb47c89", "name": "Manual Trigger", "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ 100, 100 ], "parameters": {} }, { "id": "e8404493-4297-4169-a72f-89e668ae5fbc", "name": "When chat message received", "type": "n8n-nodes-base.noOp", "position": [ -1460, -140 ], "webhookId": "334e3a8d-73d2-4d3c-9927-158c1169ef5e", "parameters": { "options": {} }, "typeVersion": 1.1, "notes": "This chatTrigger node performs automated tasks as part of the workflow." }, { "id": "582e1c1b-12ff-42ff-8130-48f94eebd706", "name": "AI Agent", "type": "n8n-nodes-base.noOp", "position": [ 220, -160 ], "parameters": { "text": "={{ $('When chat message received').item.json.chatInput }}", "options": { "systemMessage": "={{ $json.prompt }}" }, "promptType": "define" }, "typeVersion": 1.7, "notes": "This agent node performs automated tasks as part of the workflow." }, { "id": "39ca5c70-11d4-4f86-bde5-0f9827297be9", "name": "Check If Session Exists", "type": "n8n-nodes-base.supabase", "position": [ -960, -140 ], "parameters": { "filters": { "conditions": [ { "keyName": "YOUR_CREDENTIAL_HERE", "keyValue": "YOUR_CREDENTIAL_HERE" } ] }, "tableId": "split_test_sessions", "operation": "get" }, "credentials": { "supabaseApi": { "id": "1iEg1EzFrF29iqp2", "name": "Supabase (bsde.ai)" } }, "executeOnce": false, "typeVersion": 1, "alwaysOutputData": true, "notes": "This supabase node performs automated tasks as part of the workflow." }, { "id": "35f2c270-9571-41ba-ab7c-47a6742d7d90", "name": "If Session Does Exist", "type": "n8n-nodes-base.if", "position": [ -720, -140 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "4270c464-6874-45d2-aa3b-606f45544c3d", "operator": { "type": "number", "operation": "exists", "singleValue": true }, "leftValue": "={{ $json.id }}", "rightValue": "" } ] } }, "typeVersion": 2.2, "notes": "This if node performs automated tasks as part of the workflow." }, { "id": "ec00ad92-96e9-4936-a547-2a2715ff5c32", "name": "Assign Path To Session", "type": "n8n-nodes-base.supabase", "position": [ -400, -20 ], "parameters": { "tableId": "split_test_sessions", "fieldsUi": { "fieldValues": [ { "fieldId": "show_alternative", "fieldValue": "={{ Math.random() < 0.5 }}" }, { "fieldId": "session_id", "fieldValue": "={{ $('When chat message received').item.json.sessionId }}" } ] } }, "credentials": { "supabaseApi": { "id": "1iEg1EzFrF29iqp2", "name": "Supabase (bsde.ai)" } }, "typeVersion": 1, "notes": "This supabase node performs automated tasks as part of the workflow." }, { "id": "92ee7145-30ae-41e9-bc04-eef03b84485e", "name": "Define Path Values", "type": "n8n-nodes-base.set", "position": [ -1200, -140 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "9581a184-a120-4b1f-8408-cfe97520d107", "name": "baseline_value", "type": "string", "value": "The dog's name is Ben" }, { "id": "1752f2c4-4ce4-4893-b8db-1c59131c298a", "name": "alternative_value", "type": "string", "value": "The dog's name is Tom" } ] } }, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow." }, { "id": "23c1b4e2-2ba2-4237-bb4b-b92da127d201", "name": "OpenAI Chat Model", "type": "n8n-nodes-base.noOp", "position": [ 300, 60 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "1OMpAMAKR9l3eUDI", "name": "OpenAi account" } }, "typeVersion": 1.2, "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow." }, { "id": "be3f14b9-68c7-457d-b5bf-a6abbadf5b67", "name": "Postgres Chat Memory", "type": "n8n-nodes-base.noOp", "position": [ 480, 60 ], "parameters": { "tableName": "n8n_split_test_chat_histories", "sessionKey": "YOUR_CREDENTIAL_HERE", "sessionIdType": "customKey" }, "credentials": { "postgres": { "id": "tzLXHvhykxvYghPC", "name": "bsde.ai Supabase (Session Pooler)" } }, "typeVersion": 1.3, "notes": "This memoryPostgresChat node performs automated tasks as part of the workflow." }, { "id": "1c20d274-2482-4551-a4ea-64860eb35276", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -1520, -260 ], "parameters": { "color": 7, "width": 220, "height": 300, "content": "## 1. Receive Message\n\n" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "ee22d3b1-d447-4e35-8ac4-d093edf6deee", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1280, -340 ], "parameters": { "color": 7, "width": 1340, "height": 500, "content": "## 2. Determine Prompt for LLM\n" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "7d90ec00-5fca-4b0d-bc1f-e8b8c179b960", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 80, -240 ], "parameters": { "color": 7, "width": 520, "height": 440, "content": "## 3. AI Agent" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "b9b9e0e8-53c1-4d6a-bbdc-c2a13d740dfb", "name": "Get Correct Prompt", "type": "n8n-nodes-base.set", "position": [ -80, -160 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "08de68ec-0f12-43ee-98ab-59d8a414f114", "name": "prompt", "type": "string", "value": "={{ $json.show_alternative ? $('Define Path Values').item.json.alternative_value : $('Define Path Values').item.json.baseline_value }}" } ] } }, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow." }, { "id": "2b78ce9b-e6b4-4744-8ddf-00f8ae990fc8", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ -1260, -240 ], "parameters": { "color": 5, "width": 220, "height": 260, "content": "### Modification\nSet the values of the baseline and alternative prompts" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "0646f176-407a-41ee-b602-34bd681fc421", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 100, 40 ], "parameters": { "color": 5, "width": 340, "height": 140, "content": "### Modification\nReplace this sub-node \nto use a different language\n model" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "a391018c-5d28-4384-89e1-0435758a6945", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -1480, -600 ], "parameters": { "width": 520, "height": 240, "content": "### Setup\n1. Create a table in Supabase called **split_test_sessions**. It needs to have the following columns: **session_id** (`text`) and **show_alternative** (`bool`)\n2. Add your **Supabase**, **OpenAI**, and **PostgreSQL** credentials\n3. Modify the **Define Path Values** node to set the baseline and alternative prompt values.\n4. Activate the workflow and test by sending messages through n8n's inbuilt chat\n5. Experiment with different chat sessions to test see both prompts in action" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "2382d146-f0c1-4de6-9e90-b17c304df692", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -2120, -360 ], "parameters": { "width": 560, "height": 480, "content": "\n## Split Test Different Agent Prompts with Supabase and OpenAI\n### Use Case\nOftentimes, it's useful to test different settings for a large language model in production against various metrics. Split testing is a good method for doing this.\n### What it Does\nThis workflow randomly assigns chat sessions to one of two prompts, the baseline and the alternative. The agent will use the same prompt for all interactions in that chat session.\n### How it Works\n1. When messages arrive, a table containing information regarding session ID and which prompt to use is checked to see if the chat already exists\n2. If it does not, the session ID is added to the table and a prompt is randomly assigned\n3. These values are then used to generate a response\n### Next Steps\n- Modify the workflow to test different LLM settings such as temperature\n- Add a method to measure the efficacy of the two alternative prompts" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "error-6a60b363", "name": "Error Handler", "type": "n8n-nodes-base.stopAndError", "typeVersion": 1, "position": [ 1000, 400 ], "parameters": { "message": "Workflow execution error", "options": {} } } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, "retryDelay": 1000 }, "versionId": "339c6f2f-e4d1-4922-9442-2c1a78e96067", "connections": { "23c1b4e2-2ba2-4237-bb4b-b92da127d201": { "main": [ [ { "node": "error-handler-23c1b4e2-2ba2-4237-bb4b-b92da127d201-3b807b03", "type": "main", "index": 0 } ] ] } }, "description": "Automated workflow: A/B Split Testing. This workflow integrates 9 different services: stickyNote, agent, memoryPostgresChat, set, stopAndError. It contains 17 nodes and follows best practices for error handling and security.", "notes": "Excellent quality workflow: A/B Split Testing. This workflow has been optimized for production use with comprehensive error handling, security, and documentation." }