Can request the Triton Inference Server by using the 'request package' in python rather than 'client library'?

Can request the Triton Inference Server by using the ‘request package’ in python rather than ‘client library’?

like:

import request
res = requests.post(url, params=params）
print(res.text)

[deadeyegoodwin]

Yes, you can format and send your own HTTP requests, you just need to follow the HTTP/REST protocol https://github.com/triton-inference-server/server/blob/master/docs/inference_protocols.md.

Note that you will likely have lower performance than if you use the client library unless you take advantage of the binary data extension.

[thinkinds]

This is already documented in the protocol.

The $request_input JSON describes an input to the model. If the input is batched, the shape and data must represent the full shape and contents of the entire batch.

Source: https://github.com/kubeflow/kfserving/blob/master/docs/predict-api/v2/required_api.md#request-input

I must admit I’ve read this, but didn’t understand it. Maybe an example would help a lot.