How to Set Up Voice AI Webhook Handling for Real Estate Inquiries Effectively

TL;DR

Most real estate voice agents fail because webhooks fire faster than your CRM can ingest them—causing duplicate leads, lost context, and race conditions. Build a stateful webhook handler that queues incoming call events, deduplicates by phone number, and syncs qualified leads to your CRM asynchronously. Use VAPI for call orchestration, Twilio for PSTN routing, and a Redis-backed queue to prevent data loss during peak inquiry volume.

Prerequisites

API Keys & Credentials

You'll need a VAPI API key (generate from your dashboard) and a Twilio Account SID + Auth Token (found in Twilio Console). Store these in a .env file—never hardcode credentials in production.

System Requirements

Node.js 16+ with npm or yarn. A server capable of receiving HTTP POST requests (ngrok for local testing, or a deployed instance for production). HTTPS is mandatory—Twilio and VAPI reject unencrypted webhook callbacks.

Twilio Setup

Active Twilio phone number with voice capability enabled. Configure your number's webhook URL to point to your server's endpoint. Test the connection before going live.

VAPI Configuration

Familiarity with assistant configuration (model selection, voice provider, transcriber settings). Understanding of function calling—you'll use this to trigger CRM webhooks and lead qualification logic.

Real Estate CRM Integration

Access to your CRM's webhook documentation (Salesforce, Podio, or custom database). Know your lead schema: required fields (name, phone, property interest, budget).

VAPI: Get Started with VAPI → Get VAPI

Step-by-Step Tutorial

Configuration & Setup

Real estate voice agents break when webhook handlers can't process lead data fast enough. You need a server that validates Twilio signatures, extracts caller intent, and fires CRM updates within 200ms—before the prospect hangs up.

Start with Express and the Twilio webhook validator:

javascript

const express = require('express');
const twilio = require('twilio');

const app = express();
app.use(express.json());
app.use(express.urlencoded({ extended: true }));

// Twilio signature validation middleware
const validateTwilioRequest = (req, res, next) => {
  const twilioSignature = req.headers['x-twilio-signature'];
  const url = `${req.protocol}://${req.get('host')}${req.originalUrl}`;
  
  const isValid = twilio.validateRequest(
    process.env.TWILIO_AUTH_TOKEN,
    twilioSignature,
    url,
    req.body
  );
  
  if (!isValid) {
    return res.status(403).send('Forbidden - Invalid signature');
  }
  next();
};

Configure your Vapi assistant with real estate-specific prompts. The system prompt determines whether your bot qualifies leads or wastes time on tire-kickers:

javascript

const assistantConfig = {
  model: {
    provider: "openai",
    model: "gpt-4",
    temperature: 0.3,
    systemPrompt: "You are a real estate assistant. Extract: property type, budget range, location preference, timeline. If caller asks about specific listings, transfer to agent. Never discuss pricing without budget qualification."
  },
  voice: {
    provider: "11labs",
    voiceId: "professional-female"
  },
  transcriber: {
    provider: "deepgram",
    model: "nova-2",
    language: "en-US"
  }
};

Architecture & Flow

Twilio handles the phone layer. Vapi processes the conversation. Your webhook server bridges them and syncs to your CRM. This separation prevents race conditions where duplicate leads get created because the CRM webhook fired before the call ended.

Critical flow:

Twilio receives inbound call → forwards to Vapi number
Vapi streams transcription → your webhook receives events
Extract intent from partial transcripts (don't wait for call end)
Fire CRM update when budget + location confirmed
Handle barge-in without creating duplicate records

Step-by-Step Implementation

Step 1: Set up webhook endpoint for Vapi events

javascript

app.post('/webhook/vapi', async (req, res) => {
  const { type, call, transcript } = req.body;
  
  // Acknowledge immediately - process async
  res.status(200).send();
  
  try {
    if (type === 'transcript' && transcript.role === 'user') {
      await processLeadIntent(call.id, transcript.text);
    }
    
    if (type === 'end-of-call-report') {
      await finalizeLeadRecord(call.id, call.analysis);
    }
  } catch (error) {
    console.error('Webhook processing failed:', error);
    // Log to monitoring - don't retry on 200 response
  }
});

Step 2: Extract lead qualification data in real-time

javascript

async function processLeadIntent(callId, transcriptText) {
  const budgetMatch = transcriptText.match(/\$?([\d,]+)k?/i);
  const locationMatch = transcriptText.match(/\b(downtown|suburb|waterfront)\b/i);
  
  if (budgetMatch && locationMatch) {
    const leadData = {
      callId,
      budget: parseInt(budgetMatch[1].replace(/,/g, '')),
      location: locationMatch[1],
      timestamp: Date.now(),
      status: 'qualified'
    };
    
    // Fire CRM webhook - idempotent key prevents duplicates
    await fetch(process.env.CRM_WEBHOOK_URL, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'X-Idempotency-Key': callId
      },
      body: JSON.stringify(leadData)
    });
  }
}

Error Handling & Edge Cases

Webhook timeout protection: Vapi expects 200 response within 5 seconds. Process heavy CRM syncs asynchronously using a job queue. If your CRM takes 8 seconds to respond, the webhook will retry and create duplicate leads.

Barge-in race condition: When prospects interrupt, flush the intent buffer before processing new input. Otherwise you'll extract "three bedroom" from the old transcript and "studio" from the new one—creating conflicting lead records.

Phone number validation: Twilio sends caller ID in E.164 format. Strip formatting before CRM lookup or you'll miss existing leads: +1-555-123-4567 ≠ 5551234567 in most databases.

System Diagram

State machine showing vapi call states and transitions.

mermaid

stateDiagram-v2
    [*] --> Idle
    Idle --> Listening: User initiates call
    Listening --> Processing: Audio received
    Processing --> Responding: LLM response ready
    Responding --> Listening: TTS complete
    Responding --> Idle: Call ended
    Listening --> Idle: Timeout
    Processing --> Error: API failure
    Error --> Idle: Retry
    Listening --> Error: Network issue
    Error --> Listening: Reconnect
    Processing --> ExternalAPI: Call external API
    ExternalAPI --> Processing: API response received
    ExternalAPI --> Error: API error
    Error --> Idle: Max retries reached

Testing & Validation

Local Testing

Most webhook handlers fail in production because devs skip local validation. Use ngrok to expose your Express server and test the full flow before deploying.

javascript

// Terminal 1: Start your webhook server
node server.js

// Terminal 2: Expose via ngrok
ngrok http 3000

// Copy the ngrok URL (e.g., https://abc123.ngrok.io)
// Update your VAPI assistant's serverUrl to: https://abc123.ngrok.io/webhook/vapi

Test the complete voice agent webhook integration with a real call. Trigger the assistant, speak a query like "I'm looking for a 3-bedroom house under $500k in Austin", and watch your terminal logs. You should see the processLeadIntent function fire, extract budgetMatch and locationMatch, and return structured leadData.

Common failure: Webhook receives payload but returns 500. Check that assistantConfig uses the exact model, provider, and voice keys from your config. Mismatched property names break JSON serialization.

Webhook Validation

Validate Twilio signatures on EVERY request. Skipping this in dev = production security hole.

javascript

// Test signature validation with curl
curl -X POST https://abc123.ngrok.io/webhook/twilio \
  -H "X-Twilio-Signature: fake-signature" \
  -H "Content-Type: application/x-www-form-urlencoded" \
  -d "CallSid=CA123&From=+15551234567"

// Expected: 403 Forbidden (signature validation failed)
// If you get 200, your validateTwilioRequest function isn't working

Check response codes: 200 = success, 403 = invalid twilioSignature, 500 = server error. Real-time call transcription handling breaks if your webhook doesn't return within 5 seconds—add timeout guards to processLeadIntent for CRM webhook syncing delays.

Real-World Example

Barge-In Scenario

Most real estate inquiries break when prospects interrupt mid-sentence. Here's what happens when a caller cuts off your agent asking about budget:

Agent: "What's your budget range for—"
Caller: "Under 500k" (interrupts at 1.2s)

javascript

// Handle barge-in with partial transcript processing
app.post('/webhook/vapi', (req, res) => {
  const event = req.body;
  
  if (event.type === 'transcript' && event.role === 'user') {
    const isPartial = event.transcriptType === 'partial';
    const text = event.transcript.toLowerCase();
    
    // Process partial transcripts for early intent detection
    if (isPartial && text.length > 10) {
      budgetMatch = text.match(/(\d+)k|under (\d+)/);
      if (budgetMatch) {
        // Cancel current TTS immediately - don't wait for final transcript
        console.log(`[BARGE-IN] Budget detected early: ${budgetMatch[0]}`);
        // Note: Vapi handles TTS cancellation natively via endpointing config
      }
    }
    
    // Final transcript - update lead data
    if (!isPartial) {
      leadData.budget = budgetMatch ? parseInt(budgetMatch[1] || budgetMatch[2]) * 1000 : null;
      leadData.lastInterruptTime = Date.now();
    }
  }
  
  res.status(200).send();
});

Event Logs

Real webhook payload sequence during interruption (timestamps show 340ms STT latency):

javascript

// T+0ms: Agent starts speaking
{ type: 'speech-update', status: 'started', text: "What's your budget range for..." }

// T+1200ms: User interrupts
{ type: 'transcript', role: 'user', transcriptType: 'partial', transcript: 'under' }

// T+1340ms: Barge-in detected, TTS cancelled
{ type: 'speech-update', status: 'interrupted' }

// T+2100ms: Final transcript
{ type: 'transcript', role: 'user', transcriptType: 'final', transcript: 'under 500k' }

Edge Cases

Multiple rapid interrupts: Caller says "wait, actually 600k" 800ms after first interrupt. Solution: Queue transcripts with 500ms debounce before processing intent.

False positives: Background noise triggers VAD. Vapi's default endpointing: 200 catches this, but increase to 300 for noisy mobile calls.

Partial transcript drift: "under five" → "under 500k" as STT refines. Always use transcriptType: 'final' for CRM writes, partials only for UI feedback.

Common Issues & Fixes

Race Conditions Between Twilio and VAPI Webhooks

Most real estate webhook handlers break when Twilio's CallStatus updates arrive before VAPI's end-of-call-report event. Your CRM gets duplicate leads or missing transcripts because you're processing the same call twice.

The Problem: Twilio fires completed status at call disconnect (50-100ms latency). VAPI's final transcript arrives 200-800ms later. If you write to Salesforce on both events, you create duplicate contact records.

javascript

// WRONG: Creates duplicate CRM entries
app.post('/webhook/twilio', (req, res) => {
  if (req.body.CallStatus === 'completed') {
    await salesforce.createLead({ phone: req.body.From }); // Fires first
  }
});

app.post('/webhook/vapi', (req, res) => {
  if (req.body.message.type === 'end-of-call-report') {
    await salesforce.createLead({ phone: req.body.call.customer.number }); // Duplicate!
  }
});

Fix: Use a deduplication lock with Redis or in-memory Map. Only process the call ONCE when VAPI's final event arrives:

javascript

const processedCalls = new Map(); // callId -> timestamp

app.post('/webhook/twilio', (req, res) => {
  const callId = req.body.CallSid;
  processedCalls.set(callId, { status: 'twilio_completed', timestamp: Date.now() });
  res.sendStatus(200); // Acknowledge but don't process yet
});

app.post('/webhook/vapi', async (req, res) => {
  const event = req.body.message;
  if (event.type !== 'end-of-call-report') return res.sendStatus(200);
  
  const callId = req.body.call.id;
  const twilioData = processedCalls.get(callId);
  
  if (!twilioData) {
    console.error(`VAPI event arrived before Twilio for call ${callId}`);
    return res.sendStatus(500); // Retry webhook
  }
  
  // Process ONCE with complete data
  const leadData = {
    phone: req.body.call.customer.number,
    transcript: event.transcript,
    duration: req.body.call.endedAt - req.body.call.startedAt,
    intent: processLeadIntent(event.transcript)
  };
  
  await salesforce.createLead(leadData);
  processedCalls.delete(callId); // Cleanup
  res.sendStatus(200);
});

// Cleanup stale entries every 5 minutes
setInterval(() => {
  const fiveMinutesAgo = Date.now() - 300000;
  for (const [callId, data] of processedCalls.entries()) {
    if (data.timestamp < fiveMinutesAgo) processedCalls.delete(callId);
  }
}, 300000);

Partial Transcripts Triggering Intent Detection Too Early

VAPI sends transcript events with transcriptType: "partial" every 300-500ms during speech. If you run processLeadIntent() on partials, you'll fire Zapier webhooks or update Podio fields before the sentence finishes.

Symptom: Your CRM shows "I'm looking for a three bed..." (partial) instead of "I'm looking for a three bedroom condo under $500k" (final). Budget extraction fails because the price wasn't spoken yet.

javascript

// WRONG: Processes incomplete sentences
app.post('/webhook/vapi', async (req, res) => {
  const event = req.body.message;
  if (event.type === 'transcript') {
    const intent = processLeadIntent(event.transcript); // Fires on partials!
    await podio.updateLead(intent);
  }
});

Fix: Check transcriptType and only process final transcripts:

javascript

app.post('/webhook/vapi', async (req, res) => {
  const event = req.body.message;
  if (event.type !== 'transcript') return res.sendStatus(200);
  
  const isPartial = event.transcriptType === 'partial';
  if (isPartial) {
    console.log(`[Partial] ${event.transcript}`); // Log for debugging only
    return res.sendStatus(200);
  }
  
  // Only process complete sentences
  const text = event.transcript;
  const budgetMatch = text.match(/\$?([\d,]+)k?/i);
  const locationMatch = text.match(/\b(downtown|suburb|waterfront|[A-Z][a-z]+ (Beach|Hills|Park))\b/i);
  
  if (budgetMatch || locationMatch) {
    await podio.updateLead({
      budget: budgetMatch ? parseInt(budgetMatch[1].replace(',', '')) * 1000 : null,
      location: locationMatch ? locationMatch[0] : null,
      timestamp: Date.now()
    });
  }
  
  res.sendStatus(200);
});

Webhook Signature Validation Failures on Twilio

Twilio's X-Twilio-Signature validation breaks when your Express server uses body-parser with extended: true or when behind an nginx proxy that modifies the request body. You'll see 403 Forbidden errors even with the correct auth token.

Root Cause: Twilio computes the signature using the raw POST body. If Express parses it as JSON first, the byte order changes and validation fails.

javascript

// WRONG: Body parser corrupts signature validation
app.use(express.json()); // Parses body before Twilio middleware sees it
app.post('/webhook/twilio', validateTwilioRequest, (req, res) => {
  // validateTwilioRequest fails because body was already parsed
});

Fix: Use express.urlencoded() for Twilio webhooks (they send form data, not JSON) and validate BEFORE any body parsing:

javascript

const twilio = require('twilio');

// Twilio webhook validation middleware
function validateTwilioRequest(req, res, next) {
  const twilioSignature = req.headers['x-twilio-signature'];
  const url = `https://${req.headers.host}${req.originalUrl}`;
  
  const isValid = twilio.validateRequest(
    process.env.TWILIO_AUTH_TOKEN,
    twilioSignature,
    url,
    req.body
  );
  
  if (!isValid) {
    console.error(`Invalid Twilio signature for ${url}`);
    return res.status(403).send('Forbidden');
  }
  next();
}

// Apply urlencoded ONLY to Twilio routes
app.post('/webhook/twilio', 
  express.urlencoded({ extended: false }), // Parse form data
  validateTwilioRequest,
  (req, res) => {
    const callStatus = req.body.CallStatus;
    const callSid = req.body.CallSid;
    console.log(`Twilio call ${callSid}: ${callStatus}`);
    res.sendStatus(200);
  }
);

// Use JSON parser for VAPI webhooks
app.post('/webhook/vapi', 
  express.json(),
  (req, res) => {
    // VAPI sends JSON, not form data
    const event = req.body.message;
    res.sendStatus(200);
  }
);

Production Note: If using ngrok or a reverse proxy, ensure the url variable matches the public-facing URL that Twilio sees, not your localhost address. Mismatched URLs cause signature validation to fail even with correct tokens.

Complete Working Example

Here's the full production server that handles Twilio voice calls, processes VAPI webhooks, and qualifies real estate leads in real-time. This combines all routes into one runnable Express application.

Full Server Code

javascript

// server.js - Production-ready webhook handler for real estate voice AI
const express = require('express');
const crypto = require('crypto');
const twilio = require('twilio');

const app = express();
app.use(express.json());

// Twilio signature validation (CRITICAL - prevents webhook spoofing)
function validateTwilioRequest(req) {
  const twilioSignature = req.headers['x-twilio-signature'];
  const url = `https://${req.headers.host}${req.url}`;
  const authToken = process.env.TWILIO_AUTH_TOKEN;
  
  const isValid = twilio.validateRequest(
    authToken,
    twilioSignature,
    url,
    req.body
  );
  
  if (!isValid) {
    throw new Error('Invalid Twilio signature');
  }
}

// VAPI assistant configuration (matches previous sections)
const assistantConfig = {
  model: {
    provider: "openai",
    model: "gpt-4",
    temperature: 0.7,
    systemPrompt: `You are a real estate assistant. Ask: budget, location preference, property type. Extract intent: viewing_request, price_inquiry, general_info.`
  },
  voice: {
    provider: "11labs",
    voiceId: "rachel"
  },
  transcriber: {
    provider: "deepgram",
    model: "nova-2",
    language: "en"
  }
};

// Lead intent processing (from previous section)
function processLeadIntent(text) {
  const budgetMatch = text.match(/\$?([\d,]+)k?/i);
  const locationMatch = text.match(/\b(downtown|suburbs|waterfront|urban)\b/i);
  
  const leadData = {
    timestamp: new Date().toISOString(),
    budget: budgetMatch ? budgetMatch[1] : null,
    location: locationMatch ? locationMatch[1] : null,
    intent: text.toLowerCase().includes('schedule') ? 'viewing_request' : 
            text.toLowerCase().includes('price') ? 'price_inquiry' : 'general_info',
    priority: budgetMatch && parseInt(budgetMatch[1].replace(',', '')) > 500 ? 'high' : 'medium'
  };
  
  return leadData;
}

// VAPI webhook handler - processes real-time transcripts
app.post('/webhook/vapi', async (req, res) => {
  try {
    const event = req.body;
    
    // Handle partial transcripts for real-time intent detection
    if (event.type === 'transcript' && !event.isPartial) {
      const text = event.transcript;
      const leadData = processLeadIntent(text);
      
      // Store in CRM (Salesforce, Podio, etc.)
      console.log('Lead qualified:', leadData);
      
      // Trigger follow-up if high priority
      if (leadData.priority === 'high') {
        // Send to sales team via webhook or API
        await fetch(process.env.CRM_WEBHOOK_URL, {
          method: 'POST',
          headers: { 'Content-Type': 'application/json' },
          body: JSON.stringify(leadData)
        });
      }
    }
    
    // Handle call completion
    if (event.type === 'end-of-call-report') {
      const callStatus = event.status; // 'completed', 'failed', 'no-answer'
      console.log(`Call ${event.callId} ended: ${callStatus}`);
    }
    
    res.status(200).json({ received: true });
  } catch (error) {
    console.error('Webhook error:', error);
    res.status(500).json({ error: error.message });
  }
});

// Twilio inbound call handler - routes to VAPI
app.post('/webhook/twilio/voice', (req, res) => {
  try {
    validateTwilioRequest(req);
    
    const twilioData = {
      callSid: req.body.CallSid,
      from: req.body.From,
      to: req.body.To
    };
    
    // Return TwiML to connect call to VAPI
    const twiml = `<?xml version="1.0" encoding="UTF-8"?>
<Response>
  <Connect>
    <Stream url="wss://api.vapi.ai/stream">
      <Parameter name="assistantId" value="${process.env.VAPI_ASSISTANT_ID}" />
      <Parameter name="callerId" value="${twilioData.from}" />
    </Stream>
  </Connect>
</Response>`;
    
    res.type('text/xml').send(twiml);
  } catch (error) {
    console.error('Twilio webhook error:', error);
    res.status(403).send('Forbidden');
  }
});

// Health check endpoint
app.get('/health', (req, res) => {
  res.json({ status: 'ok', timestamp: new Date().toISOString() });
});

// Start server
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
  console.log(`Server running on port ${PORT}`);
  console.log(`Webhook URL: https://YOUR_DOMAIN/webhook/vapi`);
  console.log(`Twilio URL: https://YOUR_DOMAIN/webhook/twilio/voice`);
});

Run Instructions

1. Install dependencies:

bash

npm install express twilio node-fetch

2. Set environment variables:

bash

export TWILIO_AUTH_TOKEN="your_twilio_auth_token"
export VAPI_ASSISTANT_ID="your_vapi_assistant_id"
export CRM_WEBHOOK_URL="https://your-crm.com/api/leads"
export PORT=3000

3. Expose server with ngrok:

bash

ngrok http 3000
# Copy the HTTPS URL (e.g., https://abc123.ngrok.io)

4. Configure Twilio phone number:

Go to Twilio Console → Phone Numbers
Set Voice Webhook: https://abc123.ngrok.io/webhook/twilio/voice
Method: POST

5. Configure VAPI assistant:

Dashboard → Assistant → Server URL: https://abc123.ngrok.io/webhook/vapi
Enable events: transcript, end-of-call-report

6. Start the server:

bash

node server.js

Call your Twilio number. The assistant will answer, qualify the lead, and log high-priority inquiries to your CRM in real-time. Check console logs for webhook events and lead data.

FAQ

Technical Questions

How do webhooks actually trigger in a voice AI call flow?

When a call connects through VAPI, the system fires webhook events at specific lifecycle points: call initiated, transcript received, function called, call ended. Your server receives a POST request with the event payload (callId, transcript, intent detected). You validate the request signature (using Twilio's authToken and crypto.createHmac), then process the data. Most teams miss signature validation—this will bite you in production when someone spoofs webhook calls into your database.

What's the difference between partial and final transcripts in webhook handling?

Partial transcripts fire as the user speaks (isPartial: true), giving you real-time intent detection. Final transcripts arrive after a silence threshold (typically 800ms). Process partials for immediate lead qualification (budget matching, location matching), but only write to your database on final transcripts. Processing both equally causes duplicate records and wasted API calls.

How do I prevent duplicate webhook processing?

Store processedCalls with a TTL (time-to-live). When a webhook arrives, check if callId exists in your cache. If it does and arrived within 5 seconds, drop it. Use Redis or in-memory Map with setTimeout cleanup. Real-world problem: network retries send the same webhook 2-3 times. Without deduplication, you qualify the same lead three times.

Performance

What latency should I expect between speech and webhook delivery?

STT processing adds 200-600ms depending on audio quality and model. Webhook delivery adds another 50-150ms. Total: expect 250-750ms from end of speech to webhook arrival. If your function calling (like CRM webhook syncing) takes >2 seconds, the user hears silence. Implement async processing: acknowledge the webhook immediately, queue the CRM sync in the background.

How do I handle webhook timeouts without breaking the call?

Set your webhook handler timeout to 3 seconds max. If your external API (Salesforce, Podio) doesn't respond, return a 200 OK immediately and retry asynchronously. VAPI waits for your response—if you timeout, the call stalls. Use a job queue (Bull, RabbitMQ) to retry failed syncs without blocking the voice interaction.

Platform Comparison

Should I use Twilio webhooks or VAPI webhooks for lead qualification?

Use VAPI webhooks. They fire on transcript events and function calls—exactly what you need for intent detection and real estate lead qualification. Twilio webhooks are lower-level (call status changes). Combining both creates race conditions: Twilio fires "call ended" while VAPI is still processing the final transcript. Pick one source of truth. VAPI is cleaner for conversational AI.

Can I sync qualified leads to Salesforce directly from the webhook, or should I queue it?

Queue it. Salesforce OAuth tokens expire, API rate limits hit, network fails. If you sync synchronously and Salesforce is down, your webhook times out and the call breaks. Instead: webhook validates the lead, writes to your database immediately (fast), then a background worker syncs to Salesforce with retry logic. This decouples voice quality from CRM reliability.

Resources

Twilio: Get Twilio Voice API → https://www.twilio.com/try-twilio

markdown

### Resources

**VAPI Documentation:** [vapi.ai/docs](https://vapi.ai/docs) – Voice agent API, webhook integration, real-time call transcription, intent detection endpoints, assistant configuration, function calling.

**Twilio Voice API:** [twilio.com/docs/voice](https://twilio.com/docs/voice) – Phone integration, call handling, webhook callbacks, TwiML response formatting, call status tracking.

**GitHub Examples:** VAPI + Twilio webhook handler implementations for real estate lead qualification, CRM syncing (Salesforce, Podio), and conversational AI call routing available in community repositories.

References

https://docs.vapi.ai/quickstart/phone
https://docs.vapi.ai/quickstart/web
https://docs.vapi.ai/workflows/quickstart
https://docs.vapi.ai/assistants/quickstart
https://docs.vapi.ai/quickstart/introduction
https://docs.vapi.ai/chat/quickstart
https://docs.vapi.ai/server-url/developing-locally
https://docs.vapi.ai/observability/evals-quickstart

How to Set Up Voice AI Webhook Handling for Real Estate Inquiries Effectively

How to Set Up Voice AI Webhook Handling for Real Estate Inquiries Effectively

TL;DR

Prerequisites

Step-by-Step Tutorial

Configuration & Setup

Architecture & Flow

Step-by-Step Implementation

Error Handling & Edge Cases

System Diagram

Testing & Validation

Local Testing

Webhook Validation

Real-World Example

Barge-In Scenario

Event Logs

Edge Cases

Common Issues & Fixes

Race Conditions Between Twilio and VAPI Webhooks

Partial Transcripts Triggering Intent Detection Too Early

Webhook Signature Validation Failures on Twilio

Complete Working Example

Full Server Code

Run Instructions

FAQ

Technical Questions

Performance

Platform Comparison

Resources

References

Topics

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