Integrate Voice AI with Copilot in Seconds
Pair program with GitHub Copilot to add voice AI telephony to your repository. Effortlessly equip your project with low-latency (450–600 ms) conversational telephony simply by copying and pasting the master prompt below into Copilot.
The prompt contains complete knowledge of the Vistara Connect REST API, low-latency Hindi telephony defaults, voice agent craftsmanship guidelines, and an automated flow to trigger a live test call to your personal mobile phone.
Coding agents work best with the file: save it in your project (for example as VISTARA.md) and ask Copilot to follow it.
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What Happens When You Paste This Prompt into Copilot
Account Verification
Copilot asks if you are registered at app.vistaraai.in. If new, it guides you through phone OTP sign-up — ₹150 free credit with GSTIN (₹50 without) — up to 200 calls, since unanswered calls are never charged.
Agent Query & Selection
Uses your API key to list your existing voice agents. You can pick an active agent or let Copilot construct a brand new dedicated persona.
Voice Prompt Craftsmanship
Constructs a 10-section prompt with native Devanagari Hindi spoken text, phone conversation mechanics, objection handling, and CRM deliverables.
Live Phone Test Call
Asks for your mobile number and dispatches a priority test call (x-call-type: test). Your phone rings immediately so you experience the AI conversation live!
Codebase Scaffolding
Scaffolds clean outbound call dispatchers, webhook receivers for post-call transcripts, rate-limiting guards, and .env files directly in your repository.
Under the Hood: Vistara Connect REST Architecture
Everything Copilot will wire up into your backend application:
Programmatic Agent Management (GET, POST, PUT /api/v1/agents)
Manage conversational agent lifecycles via REST. Agents default to Hindi with native Indian speech synthesis (meera or Aoede).
// Create Voice Agent (100 req/min limit)
curl -X POST https://app.vistaraai.in/api/v1/agents \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "Customer Support RM",
"language": "Hindi",
"calling_method": "traditional",
"voice": "meera",
"first_message": "नमस्ते {{customer_name}} जी! मैं आपकी क्या सहायता कर सकती हूँ?",
"system_instruction": "You are a courteous, expert AI support assistant...",
"deliverables": [
{ "question": "Was customer interested?", "type": "fixed", "options": "Yes, No", "isGoal": true, "goalValue": "Yes" }
]
}'