aws / aws/sagemaker-python-sdk

Create Awaitable predict capability

Aperta
#3,973 10 commenti 5 reazioni 0 assegnatari Vedi su GitHub
component: async inference type: feature request
Lingua principale
Python
Stelle
2.3k
Fork
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Merge medio
1g 22h
PR unite (30g)
35

Descrizione

**Describe the feature you'd like**
Like many other inference libraries in python (e.g. OpenAI), create a real awaitable version of Predict for realtime sagemaker inference endpoints. This will help python applications that use FastAPI and asyncio to deliver realtime responses while not blocking the main event loop. Please note that this feature is different that the one currently available [here](https://sagemaker.readthedocs.io/en/v2.169.0/api/inference/predictor_async.html) where the predictions are written to a S3 bucket. This feature would work exactly like https://sagemaker.readthedocs.io/en/stable/api/inference/predictors.html#sagemaker.predictor.Predictor.predict but with an `await` in real `asyncio` style.

Sagemaker is an amazing library and it would be just way better for production environments using FastAPI to have this feature.

**How would this feature be used? Please describe.**
In this case, currently, the sync version looks like this:
```python
response = predictor.predict(input_data)
```
The async might be looking like
```python
response = await predictor.apredict(input_data)
```

**Describe alternatives you've considered**
I considered subclassing the `predictor` and add the async version.

**Additional context**
For modern python applications building on top of FastAPI and Asyncio, it is crucial to use async modalities do avoid blocking the main event-loop in the server (in case of scalable applications). Therefore, having a real `awaitable` functionality would avoid blocking the main event loop of the applications that leverage sagemaker.

Thanks alot

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Direzione di ricerca

Start with the documented Predictor.predict behavior and compare it with the existing predictor_async capability linked in the issue, which writes predictions to S3. Trace how realtime SageMaker endpoint calls are made and determine the interface needed for an awaitable equivalent. Done means Python asyncio applications can await realtime predictions without using S3-backed async behavior or blocking the event loop.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
aws, python
Ambito
cloud, machine-learning
Tipo di issue
Funzionalità
Difficoltà
5/5
Tempo stimato
Più di una settimana
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
35/100

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