This feature is available on all Portkey plans.
OpenAI’s Realtime API while the fastest way to use multi-modal generation, presents its own set of problems around logging, cost tracking and guardrails. Portkey’s AI Gateway provides a solution to these problems with a seamless integration. Portkeys logging is unique in that it captures the entire request and response, including the model’s response, cost, and guardrail violations.

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Here’s how to get started:

from portkey_ai import AsyncPortkey as Portkey, PORTKEY_GATEWAY_URL
import asyncio

async def main():
client = Portkey(
    api_key="PORTKEY_API_KEY",
    virtual_key="VIRTUAL_KEY",
    base_url=PORTKEY_GATEWAY_URL,
)

async with client.beta.realtime.connect(model="gpt-4o-realtime-preview-2024-10-01") 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())
For advanced use cases, you can use configs (https://portkey.ai/docs/product/ai-gateway/configs#configs) If you would not like to store your API Keys with Portkey, you can pass your openai key in the Authorization header.

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Fire Away!

You can see your logs in realtime with neatly visualized traces and cost tracking.
Realtime API

Realtime API Traces

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Next Steps