How can I implement asynchronous API calls using the new OpenAI Python library?

Below is an example of how you can make asynchronous API calls using Python’s async/await syntax with the OpenAI library. Note that when calling asynchronous endpoints, you typically use the asynchronous version of the API call (often by appending "acreate" to the endpoint function name, such as in chat completions). This allows the call to be awaited in an async function.

Below is an example:

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import asyncio
import openai

# Ensure you set your API key before making any requests.
openai.api_key = "YOUR_API_KEY"

async def get_chat_response():
    # Asynchronously request a chat completion.
    response = await openai.ChatCompletion.acreate(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "user", "content": "Hello, how are you?"}
        ]
    )
    print(response)

# Run the async function using asyncio
asyncio.run(get_chat_response())

Explanation

• Async Function Setup:
  The function get_chat_response is defined with the async def syntax so that it can contain asynchronous calls.

• Using the Async API Call:
  Instead of calling the synchronous version (e.g., openai.ChatCompletion.create), the asynchronous version openai.ChatCompletion.acreate is used. This method returns a coroutine, which is awaited.

• Running the Event Loop:
  The asynchronous function is run using asyncio.run, which manages the underlying event loop and ensures that the async function is executed.

This example can be adapted to other parts of the API that support asynchronous behavior by following a similar pattern. Remember to replace "YOUR_API_KEY" with your actual OpenAI API key.

If you have any further questions regarding asynchronous operations or need more detailed examples, feel free to ask!