openai/openai-python
Publicmirrored from https://github.com/openai/openai-pythonAvailable
examples/realtime/azure_realtime.py
82lines · modecode
| 1 | import os |
| 2 | import asyncio |
| 3 | |
| 4 | from azure.identity.aio import DefaultAzureCredential, get_bearer_token_provider |
| 5 | |
| 6 | from openai import AsyncOpenAI |
| 7 | |
| 8 | # Azure OpenAI Realtime Docs |
| 9 | |
| 10 | # How-to: https://learn.microsoft.com/azure/ai-services/openai/how-to/realtime-audio |
| 11 | # Supported models and API versions: https://learn.microsoft.com/azure/ai-services/openai/how-to/realtime-audio#supported-models |
| 12 | # Entra ID auth: https://learn.microsoft.com/azure/ai-services/openai/how-to/managed-identity |
| 13 | |
| 14 | |
| 15 | async def main() -> None: |
| 16 | """The following example demonstrates how to configure Azure OpenAI to use the Realtime API. |
| 17 | For an audio example, see push_to_talk_app.py and update the client and model parameter accordingly. |
| 18 | |
| 19 | When prompted for user input, type a message and hit enter to send it to the model. |
| 20 | Enter "q" to quit the conversation. |
| 21 | """ |
| 22 | |
| 23 | credential = DefaultAzureCredential() |
| 24 | token_provider = get_bearer_token_provider(credential, "https://cognitiveservices.azure.com/.default") |
| 25 | token = await token_provider() |
| 26 | |
| 27 | # The endpoint of your Azure OpenAI resource is required. You can set it in the AZURE_OPENAI_ENDPOINT |
| 28 | # environment variable. |
| 29 | # You can find it in the Microsoft Foundry portal in the Overview page of your Azure OpenAI resource. |
| 30 | # Example: https://{your-resource}.openai.azure.com |
| 31 | endpoint = os.environ["AZURE_OPENAI_ENDPOINT"] |
| 32 | |
| 33 | # The deployment name of the model you want to use is required. You can set it in the AZURE_OPENAI_DEPLOYMENT_NAME |
| 34 | # environment variable. |
| 35 | # You can find it in the Foundry portal in the "Models + endpoints" page of your Azure OpenAI resource. |
| 36 | # Example: gpt-realtime |
| 37 | deployment_name = os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"] |
| 38 | |
| 39 | base_url = endpoint.replace("https://", "wss://").rstrip("/") + "/openai/v1" |
| 40 | |
| 41 | # The APIs are compatible with the OpenAI client library. |
| 42 | # You can use the OpenAI client library to access the Azure OpenAI APIs. |
| 43 | # Make sure to set the baseURL and apiKey to use the Azure OpenAI endpoint and token. |
| 44 | client = AsyncOpenAI( |
| 45 | websocket_base_url=base_url, |
| 46 | api_key=token |
| 47 | ) |
| 48 | async with client.realtime.connect( |
| 49 | model=deployment_name, |
| 50 | ) as connection: |
| 51 | await connection.session.update( |
| 52 | session={ |
| 53 | "output_modalities": ["text"], |
| 54 | "model": deployment_name, |
| 55 | "type": "realtime", |
| 56 | } |
| 57 | ) |
| 58 | while True: |
| 59 | user_input = input("Enter a message: ") |
| 60 | if user_input == "q": |
| 61 | break |
| 62 | |
| 63 | await connection.conversation.item.create( |
| 64 | item={ |
| 65 | "type": "message", |
| 66 | "role": "user", |
| 67 | "content": [{"type": "input_text", "text": user_input}], |
| 68 | } |
| 69 | ) |
| 70 | await connection.response.create() |
| 71 | async for event in connection: |
| 72 | if event.type == "response.output_text.delta": |
| 73 | print(event.delta, flush=True, end="") |
| 74 | elif event.type == "response.output_text.done": |
| 75 | print() |
| 76 | elif event.type == "response.done": |
| 77 | break |
| 78 | |
| 79 | await credential.close() |
| 80 | |
| 81 | |
| 82 | asyncio.run(main()) |
| 83 | |