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import os
import asyncio
from azure.identity.aio import DefaultAzureCredential, get_bearer_token_provider
from openai import AsyncAzureOpenAI
# Azure OpenAI Realtime Docs
# How-to: https://learn.microsoft.com/azure/ai-services/openai/how-to/realtime-audio
# Supported models and API versions: https://learn.microsoft.com/azure/ai-services/openai/how-to/realtime-audio#supported-models
# Entra ID auth: https://learn.microsoft.com/azure/ai-services/openai/how-to/managed-identity
async def main() -> None:
"""The following example demonstrates how to configure Azure OpenAI to use the Realtime API.
For an audio example, see push_to_talk_app.py and update the client and model parameter accordingly.
When prompted for user input, type a message and hit enter to send it to the model.
Enter "q" to quit the conversation.
"""
credential = DefaultAzureCredential()
client = AsyncAzureOpenAI(
azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
azure_ad_token_provider=get_bearer_token_provider(credential, "https://cognitiveservices.azure.com/.default"),
api_version="2024-10-01-preview",
)
async with client.beta.realtime.connect(
model="gpt-4o-realtime-preview", # deployment name for your model
) as connection:
await connection.session.update(session={"modalities": ["text"]}) # type: ignore
while True:
user_input = input("Enter a message: ")
if user_input == "q":
break
await connection.conversation.item.create(
item={
"type": "message",
"role": "user",
"content": [{"type": "input_text", "text": user_input}],
}
)
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
await credential.close()
asyncio.run(main())
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