Build voice AI that
talks back in real time.

curl -X POST https://api.voxvane.com/v1/text-to-speech/aria \
  -H "Authorization: Bearer $VOXVANE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello from VoxVane.", "output_format": "mp3"}' \
  --output hello.mp3

import os
from voxvane import VoxVane

client = VoxVane(api_key=os.environ["VOXVANE_API_KEY"])
audio = client.text_to_speech("aria", "Hello from VoxVane.", output_format="mp3")
open("hello.mp3", "wb").write(audio)

import { writeFile } from "node:fs/promises";
import { VoxVane } from "voxvane";

const client = new VoxVane({ apiKey: process.env.VOXVANE_API_KEY });
const audio = await client.textToSpeech("aria", "Hello from VoxVane.", { outputFormat: "mp3" });
await writeFile("hello.mp3", audio);

# 1. Create an agent
curl https://api.voxvane.com/v1/agents \
  -H "Authorization: Bearer $VOXVANE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Front desk",
    "voice": "aria",
    "instructions": "Answer questions about opening hours and take a message.",
    "disclosure": "You are speaking with an AI assistant.",
    "turn": {"profile": "balanced"}
  }'

# 2. Start a live session (returns a WebSocket URL)
curl -X POST https://api.voxvane.com/v1/agents/agt_123/sessions \
  -H "Authorization: Bearer $VOXVANE_API_KEY"

import os
import requests

API = "https://api.voxvane.com/v1"
auth = {"Authorization": f"Bearer {os.environ['VOXVANE_API_KEY']}"}

agent = requests.post(f"{API}/agents", headers=auth, timeout=30, json={
    "name": "Front desk",
    "voice": "aria",
    "instructions": "Answer questions about opening hours and take a message.",
    "disclosure": "You are speaking with an AI assistant.",
    "turn": {"profile": "balanced"},
}).json()

session = requests.post(f"{API}/agents/{agent['id']}/sessions", headers=auth, timeout=30).json()
print("Stream audio to", session["websocket_url"])

const API = "https://api.voxvane.com/v1";
const headers = {
  Authorization: `Bearer ${process.env.VOXVANE_API_KEY}`,
  "Content-Type": "application/json",
};

const agent = await (await fetch(`${API}/agents`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    name: "Front desk",
    voice: "aria",
    instructions: "Answer questions about opening hours and take a message.",
    disclosure: "You are speaking with an AI assistant.",
    turn: { profile: "balanced" },
  }),
})).json();

const session = await (await fetch(`${API}/agents/${agent.id}/sessions`, { method: "POST", headers })).json();
console.log("Stream audio to", session.websocket_url);