Migrating to v1: How to create a fine-tuning job and stream using async client?

[Pythonic-Rainbow]

In v0, i have the following code (I changed a bit to make things clearer)

with open('ai_data/model.jsonl', 'rb') as f:
            upload_resp = await openai.File.acreate(f, 'fine-tune')
file_id = upload_resp.id
tune_resp = await openai.FineTune.acreate(training_file=file_id, model='babbage')
async for event in await openai.FineTune.astream_events(tune_resp.id):
    print(event.message)
print('Completed. New Model ID: ' + tune_resp.fine_tuned_model)

astream_events is able to iterate and wait until the model is actually completed.

I've migrated it to the following:

with open('ai_data/model.jsonl', 'rb') as f:
    upload_resp = await client.files.create(file=f, purpose='fine-tune')
file_id = upload_resp.id
tune_resp = await client.fine_tuning.jobs.create(training_file=file_id, model='babbage-002')
async for event in client.fine_tuning.jobs.list_events(tune_resp.id):
    print(event.message)
print('Completed. New Model ID: ' + tune_resp.fine_tuned_model)

But now the async for loop doesn't wait until the model is actually completed. The messages also seem to be in the reverse order. I know that this is because it's not streaming, but I don't know how to enable streaming in this use case. Does anyone know how to do that?

[Pythonic-Rainbow]

Moved to #1154