Realtime API

// coming soon

// requires `yarn add ws @types/ws`
import OpenAI from 'openai';
import { OpenAIRealtimeWS } from 'openai/beta/realtime/ws';
import { createHeaders, PORTKEY_GATEWAY_URL } from 'portkey-ai';

const headers = createHeaders({
  provider: "openai",
  apiKey: "PORTKEY_API_KEY",
  provider:'@PROVIDER'
})
const openai = new OpenAI({
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: headers
});
const rt = new OpenAIRealtimeWS({ model: 'gpt-4o-realtime-preview-2024-12-17', options: {headers: headers} }, openai);

// access the underlying `ws.WebSocket` instance
rt.socket.on('open', () => {
console.log('Connection opened!');
rt.send({
  type: 'session.update',
  session: {
    modalities: ['text'],
    model: 'gpt-4o-realtime-preview',
  },
});

rt.send({
  type: 'conversation.item.create',
  item: {
    type: 'message',
    role: 'user',
    content: [{ type: 'input_text', text: 'Say a couple paragraphs!' }],
  },
});

rt.send({ type: 'response.create' });
});

rt.on('error', (err) => {
// in a real world scenario this should be logged somewhere as you
// likely want to continue procesing events regardless of any errors
throw err;
});

rt.on('session.created', (event) => {
console.log('session created!', event.session);
console.log();
});

rt.on('response.text.delta', (event) => process.stdout.write(event.delta));
rt.on('response.text.done', () => console.log());

rt.on('response.done', () => rt.close());

rt.socket.on('close', () => console.log('\nConnection closed!'));

import asyncio
from openai import AsyncOpenAI
from portkey_ai import createHeaders, PORTKEY_GATEWAY_URL

async def main():
headers = createHeaders(provider="openai", api_key="PORTKEY_API_KEY", provider="@PROVIDER")
client = AsyncOpenAI(
    base_url=PORTKEY_GATEWAY_URL,
)

async with client.beta.realtime.connect(model="gpt-4o-realtime-preview", extra_headers=headers) as connection: #replace with the model you want to use
    await connection.session.update(session={'modalities': ['text']})

    await connection.conversation.item.create(
        item={
            "type": "message",
            "role": "user",
            "content": [{"type": "input_text", "text": "Say hello!"}],
        }
    )
    await connection.response.create()

    async for event in connection:
        if event.type == 'response.text.delta':
            print(event.delta, flush=True, end="")

        elif event.type == 'response.text.done':
            print()

        elif event.type == "response.done":
            break

asyncio.run(main())

# we're using websocat for this example, but you can use any websocket client
websocat "wss://api.portkey.ai/v1/realtime?model=gpt-4o-realtime-preview-2024-10-01" \
  -H "x-portkey-provider: openai" \
  -H "x-portkey-provider: PROVIDER" \
  -H "x-portkey-OpenAI-Beta: realtime=v1" \
  -H "x-portkey-api-key: PORTKEY_API_KEY"
# once connected, you can send your messages as you would with OpenAI's Realtime API