GCP Enterprise ML/AI Models & Voice Engines
Connect Google Vertex AI to IntelDialix voice agents
Enterprise Gemini Live deployment with Google Cloud IAM security, customer-managed encryption keys (CMEK).
In short
You connect Google Vertex AI to IntelDialix in two directions. When a call starts or ends, IntelDialix sends a signed webhook to Google Vertex AI with the transcript and outcome. During a call, an agent can reach Google Vertex AI through a custom tool — an HTTP request you define — to look up or update information. No SDK is needed; it is plain HTTPS and JSON.
- Google Vertex AI
- IntelDialix
- AI voice agent
- Webhooks
- Vertex AI Bi-directional Audio Streaming
- HTTPS
- JSON
How it works
How information moves between a live phone call and Google Vertex AI.
- 01
A call reaches your agent
A caller dials a Twilio or SIP number assigned to the agent, or the agent places an outbound call from a campaign.
Twilio / SIP number → IntelDialix agent
- 02
The agent uses Google Vertex AI mid-call
When the conversation needs data, the agent runs a custom tool: an HTTP request to Google Vertex AI with the details it has collected.
Custom tool → Vertex AI Bi-directional Audio Streaming
- 03
The call ends with a record
IntelDialix keeps the recording, transcript and post-call analysis for the conversation in your call history.
Recording · transcript · analysis
- 04
Google Vertex AI receives the result
A signed webhook delivers the call event to your Google Vertex AI endpoint, and is retried automatically if the delivery fails.
HTTPS POST · X-Dialix-Signature
At a glance
Key figures
- Voice engines
- ElevenLabs · Vapi · Gemini
- Choose the engine per agent and compare them on real calls.
- Telephony
- Twilio & SIP
- Use numbers you already have, for inbound and outbound calls.
- Call events
- Signed webhooks
- HMAC-SHA256 signature on every delivery, retried on failure.
- Starter plan
- $14 / month
- One agent, one number and 100 calls a month.
Example
// Verify an IntelDialix webhook before trusting it in Google Vertex AI.
// Header: X-Dialix-Signature: t=<unix seconds>,v1=<hex>
// where v1 = HMAC-SHA256(secret, "<t>.<raw request body>")
import crypto from 'node:crypto';
export function verifyDialixWebhook(rawBody, signatureHeader, secret) {
const parts = Object.fromEntries(
signatureHeader.split(',').map((kv) => kv.split('='))
);
const expected = crypto
.createHmac('sha256', secret)
.update(`${parts.t}.${rawBody}`)
.digest('hex');
const valid =
typeof parts.v1 === 'string' &&
parts.v1.length === expected.length &&
crypto.timingSafeEqual(Buffer.from(parts.v1), Buffer.from(expected));
const fresh = Math.abs(Date.now() / 1000 - Number(parts.t)) < 300;
return valid && fresh;
}
// Body: { "event": "call.completed", "payload": { ... }, "timestamp": "..." }Check the signature before acting on an event in Google Vertex AI. The secret is the one you set when you add the webhook in IntelDialix settings.
FAQ
Frequently asked questions
How does IntelDialix connect to Google Vertex AI?
Through webhooks and custom tools. IntelDialix posts call events to a Google Vertex AI endpoint you choose, and agents can call Google Vertex AI during a conversation using an HTTP tool you configure in the agent editor.
Which events can Google Vertex AI receive?
IntelDialix sends events such as call.initiated, call.inbound, call.completed, call.failed, campaign.started, campaign.completed. Each delivery includes a JSON payload and an X-Dialix-Signature header you can verify with your webhook secret.
Do I need a developer to set this up?
You need an HTTPS endpoint in Google Vertex AI that can receive webhooks — many tools provide one — and, for mid-call actions, an endpoint the agent can call. Building the agent itself needs no code.
Keep exploring
Related pages
- templateGoogle Vertex AI Enterprise Grounded BotGCP-grounded voice agent accessing Google Workspace docs and BigQuery in real time.
- integrationAzure OpenAI Voice AI IntegrationEnterprise-grade GPT real-time audio and speech services with regional residency and BAA HIPAA agreements.
- integrationOpenAI Realtime Voice AI IntegrationUltra-low latency speech-to-speech interaction powered by OpenAI Realtime models running over native WebSockets.
- integrationClaude 3.7 Sonnet Voice AI IntegrationEmpower phone agents with deep real-time reasoning, tool invocation, and nuanced human-like conversational tact.
- integrationClaude Sonnet 4.5 Voice AI IntegrationCutting-edge reasoning capabilities for complex enterprise support, technical troubleshooting, and multi-turn negotiation.
Put an agent on the phone today.
Create a free account to explore the dashboard. Plans start at $14 a month for one agent and 100 calls.