This workflow follows the HTTP Request → OpenAI 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 →
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567803",
"name": "HotBot \u2014 03 Voice Pipeline",
"nodes": [
{
"id": "node-webhook-voice",
"name": "Webhook \u2014 Voice",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
240,
300
],
"parameters": {
"httpMethod": "POST",
"path": "hotbotstudios-voice",
"responseMode": "responseNode",
"options": {
"allowedOrigins": "*"
}
}
},
{
"id": "node-validate-voice",
"name": "Validate Audio Input",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
480,
300
],
"parameters": {
"jsCode": "const body = $input.first().json.body || $input.first().json;\nconst audio = body.audio || '';\nconst language = body.language || 'hi-IN';\nconst sessionId = body.sessionId || ('voice-' + Date.now());\nconst meta = body._meta || {};\n\nif (!audio || audio.length < 100) throw new Error('Invalid or missing audio data');\n\n// Remove data URI prefix if present\nconst cleanAudio = audio.replace(/^data:audio\\/[^;]+;base64,/, '');\n\nreturn [{\n json: {\n audio: cleanAudio,\n language,\n sessionId,\n timestamp: new Date().toISOString(),\n source: meta.source || 'website-voice'\n }\n}];"
}
},
{
"id": "node-sarvam-stt",
"name": "Sarvam AI \u2014 Speech to Text",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
720,
300
],
"parameters": {
"method": "POST",
"url": "https://api.sarvam.ai/speech-to-text",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "API-Subscription-Key",
"value": "YOUR_SARVAM_API_KEY"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "audio",
"value": "={{ $json.audio }}"
},
{
"name": "language_code",
"value": "={{ $json.language }}"
},
{
"name": "model",
"value": "saarika:v2"
}
]
},
"options": {
"timeout": 30000
}
}
},
{
"id": "node-extract-transcript",
"name": "Extract Transcript",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
960,
300
],
"parameters": {
"jsCode": "const sttResult = $input.first().json;\nconst transcript = sttResult.transcript || sttResult.text || '';\n\nif (!transcript || transcript.trim().length === 0) {\n throw new Error('Could not transcribe audio \u2014 please try again');\n}\n\nconst sessionId = $('Validate Audio Input').first().json.sessionId;\nconst language = $('Validate Audio Input').first().json.language;\n\nreturn [{\n json: {\n transcript: transcript.trim(),\n language,\n sessionId,\n timestamp: $('Validate Audio Input').first().json.timestamp\n }\n}];"
}
},
{
"id": "node-llm-voice",
"name": "OpenAI \u2014 Voice LLM",
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.4,
"position": [
1200,
300
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"parameters": {
"resource": "chat",
"operation": "message",
"model": {
"__rl": true,
"value": "gpt-4o-mini",
"mode": "list",
"cachedResultName": "gpt-4o-mini"
},
"messages": {
"values": [
{
"role": "system",
"content": "You are HotBot, the AI voice assistant for HotBot Studios. You're responding to a voice message, so:\n- Keep responses SHORT (2-3 sentences max)\n- Use simple, conversational language\n- No markdown, no lists, no special characters\n- Be warm, helpful, and professional\n- Guide users to services: AI Automation, Marketing, Content, Software Dev, PR, UI/UX, Consultancy\n- If they want to get started, ask for their email or direct them to the website form\nContact: hello@hotbotstudios.com | https://hotbotstudios.com"
},
{
"role": "user",
"content": "={{ $json.transcript }}"
}
]
},
"options": {
"temperature": 0.6,
"maxTokens": 200
}
}
},
{
"id": "node-extract-llm-reply",
"name": "Extract LLM Reply",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1440,
300
],
"parameters": {
"jsCode": "const llmResult = $input.first().json;\nconst replyText = llmResult.message?.content || llmResult.choices?.[0]?.message?.content || 'I am here to help. Please tell me what you need.';\n\nreturn [{\n json: {\n replyText,\n language: $('Extract Transcript').first().json.language,\n sessionId: $('Extract Transcript').first().json.sessionId\n }\n}];"
}
},
{
"id": "node-sarvam-tts",
"name": "Sarvam AI \u2014 Text to Speech",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1680,
300
],
"parameters": {
"method": "POST",
"url": "https://api.sarvam.ai/text-to-speech",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "API-Subscription-Key",
"value": "YOUR_SARVAM_API_KEY"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "inputs",
"value": "={{ [$json.replyText] }}"
},
{
"name": "target_language_code",
"value": "={{ $json.language }}"
},
{
"name": "speaker",
"value": "meera"
},
{
"name": "model",
"value": "bulbul:v1"
},
{
"name": "enable_preprocessing",
"value": true
}
]
},
"options": {
"timeout": 30000
}
}
},
{
"id": "node-prepare-voice-response",
"name": "Prepare Voice Response",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1920,
300
],
"parameters": {
"jsCode": "const ttsResult = $input.first().json;\nconst audioBase64 = ttsResult.audios?.[0] || ttsResult.audio || '';\nconst replyText = $('Extract LLM Reply').first().json.replyText;\n\nreturn [{\n json: {\n message: replyText,\n audio: audioBase64,\n audioFormat: 'wav',\n sessionId: $('Extract LLM Reply').first().json.sessionId\n }\n}];"
}
},
{
"id": "node-respond-voice",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
2160,
300
],
"parameters": {
"respondWith": "json",
"responseBody": "={{ JSON.stringify({ message: $json.message, audio: $json.audio, audioFormat: $json.audioFormat }) }}",
"options": {
"responseCode": 200
}
}
}
],
"connections": {
"Webhook \u2014 Voice": {
"main": [
[
{
"node": "Validate Audio Input",
"type": "main",
"index": 0
}
]
]
},
"Validate Audio Input": {
"main": [
[
{
"node": "Sarvam AI \u2014 Speech to Text",
"type": "main",
"index": 0
}
]
]
},
"Sarvam AI \u2014 Speech to Text": {
"main": [
[
{
"node": "Extract Transcript",
"type": "main",
"index": 0
}
]
]
},
"Extract Transcript": {
"main": [
[
{
"node": "OpenAI \u2014 Voice LLM",
"type": "main",
"index": 0
}
]
]
},
"OpenAI \u2014 Voice LLM": {
"main": [
[
{
"node": "Extract LLM Reply",
"type": "main",
"index": 0
}
]
]
},
"Extract LLM Reply": {
"main": [
[
{
"node": "Sarvam AI \u2014 Text to Speech",
"type": "main",
"index": 0
}
]
]
},
"Sarvam AI \u2014 Text to Speech": {
"main": [
[
{
"node": "Prepare Voice Response",
"type": "main",
"index": 0
}
]
]
},
"Prepare Voice Response": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"callerPolicy": "workflowsFromSameOwner"
},
"tags": [
{
"id": "tag-hotbot",
"name": "hotbot-studios"
},
{
"id": "tag-voice",
"name": "voice-pipeline"
}
]
}
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.
openAiApi
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About this workflow
HotBot — 03 Voice Pipeline. Uses httpRequest, openAi. Webhook trigger; 9 nodes.
Source: https://github.com/harshpreet20/hotbot26/blob/337e1599ac488651f97c911ee272fd705de8e90c/n8n-workflows/03-voice-pipeline.json — original creator credit. Request a take-down →
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