Workflow: AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs
Integrations: aggregate, httpRequest, limit, respondToWebhook, stickyNote, webhook

{"id": "TtoDcjgthgA4NTkU", "meta": {"instanceId": "fb261afc5089eae952e09babdadd9983000b3d863639802f6ded8c5be2e40067", "templateCredsSetupCompleted": true}, "name": "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs", "tags": [{"id": "mqOrNvCDgQLzPA2x", "name": "Workflows", "createdAt": "2024-08-07T14:18:53.614Z", "updatedAt": "2024-08-07T14:18:53.614Z"}], "nodes": [{"id": "86cbf150-df4f-42f7-b7b3-e03c32e6f23c", "name": "Get Chat", "type": "@n8n/n8n-nodes-langchain.memoryManager", "position": [1700, -400], "parameters": {"options": {}}, "typeVersion": 1, "alwaysOutputData": true}, {"id": "a9153a24-e902-4f29-9b83-447317ce3119", "name": "Insert Chat", "type": "@n8n/n8n-nodes-langchain.memoryManager", "position": [2540, -400], "parameters": {"mode": "insert", "messages": {"messageValues": [{"type": "user", "message": "={{ $('OpenAI - Speech to Text').item.json[\"text\"] }}"}, {"type": "ai", "message": "={{ $json.text }}"}]}}, "typeVersion": 1, "alwaysOutputData": true}, {"id": "f5c272d4-248b-45a5-87b5-eb659a865d05", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [1664, -491], "parameters": {"color": 6, "width": 486.4746124819703, "height": 238.4911357933579, "content": "## Get Context"}, "typeVersion": 1}, {"id": "32ad17ca-0045-487d-9387-71c2e73629d4", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [2510, -489], "parameters": {"color": 6, "width": 321.2536584847704, "height": 231.05945912581728, "content": "## Save Context"}, "typeVersion": 1}, {"id": "17ae4f1a-6192-4c52-8157-3cb47b37e0fb", "name": "Aggregate", "type": "n8n-nodes-base.aggregate", "position": [2020, -400], "parameters": {"options": {}, "aggregate": "aggregateAllItemData", "destinationFieldName": "context"}, "typeVersion": 1, "alwaysOutputData": true}, {"id": "00b3081e-fbcd-489b-b45a-4e847c346594", "name": "Window Buffer Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [2080, -100], "parameters": {"sessionKey": "test-0dacb3b5-4bcd-47dd-8456-dcfd8c258204", "sessionIdType": "customKey"}, "typeVersion": 1.2}, {"id": "55ca2790-e905-414a-a9f6-7d88a9e5807d", "name": "Google Gemini Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [2220, -100], "parameters": {"options": {}, "modelName": "models/gemini-1.5-flash"}, "credentials": {"googlePalmApi": {"id": "2bUF1ZI9hoMIM5XN", "name": "Google Gemini(PaLM) Api account"}}, "typeVersion": 1}, {"id": "e8b3433f-b205-404c-9f05-504556d6b6dd", "name": "Respond to Webhook", "type": "n8n-nodes-base.respondToWebhook", "position": [3560, -400], "parameters": {"options": {}, "respondWith": "binary"}, "typeVersion": 1.1}, {"id": "de296743-5ac7-454b-bf3a-d020cc024511", "name": "ElevenLabs - Generate Audio", "type": "n8n-nodes-base.httpRequest", "position": [3240, -400], "parameters": {"url": "=https://api.elevenlabs.io/v1/text-to-speech/{{voice id}}", "method": "POST", "options": {}, "sendBody": true, "sendHeaders": true, "authentication": "genericCredentialType", "bodyParameters": {"parameters": [{"name": "text", "value": "={{ $('Basic LLM Chain').item.json.text }}"}]}, "genericAuthType": "httpCustomAuth", "headerParameters": {"parameters": [{"name": "Content-Type", "value": "application/json"}]}}, "credentials": {"httpCustomAuth": {"id": "lnGfV4BlxSE6Xc4X", "name": "Eleven Labs"}}, "typeVersion": 4.2}, {"id": "214e15f2-8a16-4598-b4ac-9fc2ec6545e6", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [3040, -560], "parameters": {"width": 468.73250812192407, "height": 843.7602354099661, "content": "* ### For the Text-to-Speech part, we'll use ElevenLabs.io, which is free and offers a variety of voices to choose from. However, you can also use the OpenAI `\"Generate audio\"` node instead.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n* ### Since there is no pre-built node for `\"ElevenLabs\"` in n8n, we'll connect to it through its API using the \"HTTP Request\" node.\n\n## Prerequisites:\n* ### `\"ElevenLabs API Key\"` (you can obtain it from their website).\n* ### `\"Voice ID\"` (you can also get it from ElevenLabs' \"Voice Library\").\n## Setup\n* ### In the URL parameter, replace \"{{voice id}}\" at the end of the URL with the Voice ID you obtained from ElevenLabs.io.\n* ### To set up your API Key, add custom authentication and include the following `JSON` with your acual ElevenLabs API Key:\n```json\n{\n \"headers\": {\n \"xi-api-key\": \"put-your-API-Key-here\"\n }\n}\n```"}, "typeVersion": 1}, {"id": "94ad934c-4a13-47b1-83a5-76fab43b3a47", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [1663, -598], "parameters": {"color": 6, "width": 487.4293487597613, "height": 91.01435855269375, "content": "### The \"Get Chat,\" \"Insert Chat,\" and \"Window Buffer Memory\" nodes will help the LLM model maintain context throughout the conversation."}, "typeVersion": 1}, {"id": "0a96f48d-0d8b-4240-9eab-a681bfd4c8b5", "name": "Limit", "type": "n8n-nodes-base.limit", "position": [2900, -400], "parameters": {}, "typeVersion": 1}, {"id": "9a5d4ddb-6403-4758-858e-9fbe10c421a9", "name": "Basic LLM Chain", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [2200, -400], "parameters": {"text": "={{ $('OpenAI - Speech to Text').item.json[\"text\"] }}", "messages": {"messageValues": [{"type": "AIMessagePromptTemplate", "message": "=To maintain context and fully understand the user's question, always review the previous conversation between you and him before providing an answer.\nThis is the previous conversation:\n{{ $('Aggregate').item.json[\"context\"].map(m => `\nHuman: ${m.human || 'undefined'}\nAI Assistant: ${m.ai || 'undefined'}\n`).join('') }}"}]}, "promptType": "define"}, "typeVersion": 1.4}, {"id": "f2f99895-9678-41b8-ad28-db40e1e23dc0", "name": "Webhook", "type": "n8n-nodes-base.webhook", "position": [1320, -400], "webhookId": "e9f611eb-a8dd-4520-8d24-9f36deaca528", "parameters": {"path": "voice_message", "options": {}, "httpMethod": "POST", "responseMode": "responseNode"}, "typeVersion": 2}, {"id": "d9a5fb04-4c02-4da4-b690-7b0ecd0ae052", "name": "OpenAI - Speech to Text", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [1500, -400], "parameters": {"options": {}, "resource": "audio", "operation": "transcribe", "binaryPropertyName": "voice_message"}, "credentials": {"openAiApi": {"id": "2Cije3KX7OIVwn9B", "name": "n8n OpenAI"}}, "typeVersion": 1.3}], "active": true, "pinData": {}, "settings": {"callerPolicy": "workflowsFromSameOwner", "executionOrder": "v1", "saveManualExecutions": true}, "versionId": "fe5792ca-03d7-4cdd-96db-20f4cd479c7e", "connections": {"Limit": {"main": [[{"node": "ElevenLabs - Generate Audio", "type": "main", "index": 0}]]}, "Webhook": {"main": [[{"node": "OpenAI - Speech to Text", "type": "main", "index": 0}]]}, "Get Chat": {"main": [[{"node": "Aggregate", "type": "main", "index": 0}]]}, "Aggregate": {"main": [[{"node": "Basic LLM Chain", "type": "main", "index": 0}]]}, "Insert Chat": {"main": [[{"node": "Limit", "type": "main", "index": 0}]]}, "Basic LLM Chain": {"main": [[{"node": "Insert Chat", "type": "main", "index": 0}]]}, "Window Buffer Memory": {"ai_memory": [[{"node": "Insert Chat", "type": "ai_memory", "index": 0}, {"node": "Get Chat", "type": "ai_memory", "index": 0}]]}, "OpenAI - Speech to Text": {"main": [[{"node": "Get Chat", "type": "main", "index": 0}]]}, "Google Gemini Chat Model": {"ai_languageModel": [[{"node": "Basic LLM Chain", "type": "ai_languageModel", "index": 0}]]}, "ElevenLabs - Generate Audio": {"main": [[{"node": "Respond to Webhook", "type": "main", "index": 0}]]}}}