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OpenAI’s Realtime API, while being the fastest way to utilize multi-modal generation, comes with challenges such as logging, cost tracking, and implementing guardrails. Obiguard’s AI Gateway addresses these challenges through seamless integration. It’s logging feature uniquely captures the complete request and response, including the model’s output, cost, and any guardrail violations.

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Getting Started:

  • Python SDK
  • OpenAI Python
  • cURL
from obiguard import AsyncObiguard as Obiguard, OBIGUARD_GATEWAY_URL
import asyncio

async def main():
  client = Obiguard(
    virtual_key="vk-obg-***",  # Your Obiguard virtual key here
    base_url=OBIGUARD_GATEWAY_URL,
  )

  async with client.beta.realtime.connect(
    model="gpt-4o-realtime-preview-2024-10-01"  # Replace with the model you want to use
  ) as connection:
    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())
If you prefer not to store your API keys with Obiguard, you can include your OpenAI key in the Authorization header instead.

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Fire Away!

View your logs in real-time with clear visualized traces and detailed cost tracking.